iVOD / 16070

Field Value
IVOD_ID 16070
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16070
日期 2024-07-05
會議資料.會議代碼 院會-11-1-21
會議資料.會議代碼:str 第11屆第1會期第21次會議
會議資料.屆 11
會議資料.會期 1
會議資料.會次 21
會議資料.種類 院會
會議資料.標題 立法院第11屆第1會期第21次會議
影片種類 Full
開始時間 2024-07-05T08:30:15+08:00
結束時間 2024-07-05T18:55:00+08:00
影片長度 10:24:45
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/8398b1826590a609d56277c358e1b52dad9f551ce5fa921f4f242ceca957783912fbd1b2b36c2b065ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-07-05T09:00:00+08:00
會議名稱 第11屆第1會期第21次會議(事由:一、對行政院院長報告施政方針繼續質詢。 二、7月5日上午9時至10時為國是論壇時間。 三、7月9日下午1時50分至2時30分為處理臨時提案時間。)
委員名稱 完整會議
委員發言時間 08:30:15 - 18:55:00
transcript.pyannote[0].speaker SPEAKER_15
transcript.pyannote[0].start 283.19346875
transcript.pyannote[0].end 283.59846875
transcript.pyannote[1].speaker SPEAKER_25
transcript.pyannote[1].start 418.96971875
transcript.pyannote[1].end 419.03721875
transcript.pyannote[2].speaker SPEAKER_08
transcript.pyannote[2].start 1923.57846875
transcript.pyannote[2].end 1927.12221875
transcript.pyannote[3].speaker SPEAKER_08
transcript.pyannote[3].start 1927.42596875
transcript.pyannote[3].end 1933.38284375
transcript.pyannote[4].speaker SPEAKER_10
transcript.pyannote[4].start 1945.54971875
transcript.pyannote[4].end 1949.24534375
transcript.pyannote[5].speaker SPEAKER_10
transcript.pyannote[5].start 1950.34221875
transcript.pyannote[5].end 1952.28284375
transcript.pyannote[6].speaker SPEAKER_10
transcript.pyannote[6].start 1952.63721875
transcript.pyannote[6].end 1955.72534375
transcript.pyannote[7].speaker SPEAKER_10
transcript.pyannote[7].start 1956.56909375
transcript.pyannote[7].end 1962.47534375
transcript.pyannote[8].speaker SPEAKER_10
transcript.pyannote[8].start 1962.61034375
transcript.pyannote[8].end 1964.65221875
transcript.pyannote[9].speaker SPEAKER_10
transcript.pyannote[9].start 1965.00659375
transcript.pyannote[9].end 1973.68034375
transcript.pyannote[10].speaker SPEAKER_10
transcript.pyannote[10].start 1974.13596875
transcript.pyannote[10].end 1976.92034375
transcript.pyannote[11].speaker SPEAKER_10
transcript.pyannote[11].start 1977.32534375
transcript.pyannote[11].end 1983.07971875
transcript.pyannote[12].speaker SPEAKER_10
transcript.pyannote[12].start 1983.36659375
transcript.pyannote[12].end 1997.82846875
transcript.pyannote[13].speaker SPEAKER_10
transcript.pyannote[13].start 1998.11534375
transcript.pyannote[13].end 2002.28346875
transcript.pyannote[14].speaker SPEAKER_10
transcript.pyannote[14].start 2002.36784375
transcript.pyannote[14].end 2003.90346875
transcript.pyannote[15].speaker SPEAKER_10
transcript.pyannote[15].start 2004.47721875
transcript.pyannote[15].end 2008.99971875
transcript.pyannote[16].speaker SPEAKER_10
transcript.pyannote[16].start 2009.53971875
transcript.pyannote[16].end 2010.36659375
transcript.pyannote[17].speaker SPEAKER_10
transcript.pyannote[17].start 2010.65346875
transcript.pyannote[17].end 2013.77534375
transcript.pyannote[18].speaker SPEAKER_10
transcript.pyannote[18].start 2013.82596875
transcript.pyannote[18].end 2017.67346875
transcript.pyannote[19].speaker SPEAKER_10
transcript.pyannote[19].start 2017.99409375
transcript.pyannote[19].end 2022.65159375
transcript.pyannote[20].speaker SPEAKER_10
transcript.pyannote[20].start 2022.92159375
transcript.pyannote[20].end 2025.36846875
transcript.pyannote[21].speaker SPEAKER_10
transcript.pyannote[21].start 2025.82409375
transcript.pyannote[21].end 2030.68409375
transcript.pyannote[22].speaker SPEAKER_10
transcript.pyannote[22].start 2030.78534375
transcript.pyannote[22].end 2034.63284375
transcript.pyannote[23].speaker SPEAKER_10
transcript.pyannote[23].start 2035.10534375
transcript.pyannote[23].end 2059.97909375
transcript.pyannote[24].speaker SPEAKER_10
transcript.pyannote[24].start 2060.33346875
transcript.pyannote[24].end 2063.08409375
transcript.pyannote[25].speaker SPEAKER_10
transcript.pyannote[25].start 2063.15159375
transcript.pyannote[25].end 2068.24784375
transcript.pyannote[26].speaker SPEAKER_10
transcript.pyannote[26].start 2070.30659375
transcript.pyannote[26].end 2087.46846875
transcript.pyannote[27].speaker SPEAKER_10
transcript.pyannote[27].start 2087.85659375
transcript.pyannote[27].end 2091.18096875
transcript.pyannote[28].speaker SPEAKER_10
transcript.pyannote[28].start 2091.41721875
transcript.pyannote[28].end 2122.88909375
transcript.pyannote[29].speaker SPEAKER_10
transcript.pyannote[29].start 2122.95659375
transcript.pyannote[29].end 2130.61784375
transcript.pyannote[30].speaker SPEAKER_08
transcript.pyannote[30].start 2135.59596875
transcript.pyannote[30].end 2140.47284375
transcript.pyannote[31].speaker SPEAKER_21
transcript.pyannote[31].start 2152.79159375
transcript.pyannote[31].end 2153.77034375
transcript.pyannote[32].speaker SPEAKER_21
transcript.pyannote[32].start 2154.64784375
transcript.pyannote[32].end 2158.51221875
transcript.pyannote[33].speaker SPEAKER_21
transcript.pyannote[33].start 2160.57096875
transcript.pyannote[33].end 2161.29659375
transcript.pyannote[34].speaker SPEAKER_21
transcript.pyannote[34].start 2161.46534375
transcript.pyannote[34].end 2165.56596875
transcript.pyannote[35].speaker SPEAKER_21
transcript.pyannote[35].start 2165.61659375
transcript.pyannote[35].end 2173.48034375
transcript.pyannote[36].speaker SPEAKER_21
transcript.pyannote[36].start 2174.02034375
transcript.pyannote[36].end 2197.10534375
transcript.pyannote[37].speaker SPEAKER_21
transcript.pyannote[37].start 2197.24034375
transcript.pyannote[37].end 2198.21909375
transcript.pyannote[38].speaker SPEAKER_21
transcript.pyannote[38].start 2198.30346875
transcript.pyannote[38].end 2217.87846875
transcript.pyannote[39].speaker SPEAKER_21
transcript.pyannote[39].start 2217.89534375
transcript.pyannote[39].end 2221.01721875
transcript.pyannote[40].speaker SPEAKER_21
transcript.pyannote[40].start 2221.72596875
transcript.pyannote[40].end 2222.24909375
transcript.pyannote[41].speaker SPEAKER_21
transcript.pyannote[41].start 2222.63721875
transcript.pyannote[41].end 2234.65221875
transcript.pyannote[42].speaker SPEAKER_21
transcript.pyannote[42].start 2234.92221875
transcript.pyannote[42].end 2257.60221875
transcript.pyannote[43].speaker SPEAKER_21
transcript.pyannote[43].start 2258.22659375
transcript.pyannote[43].end 2259.54284375
transcript.pyannote[44].speaker SPEAKER_21
transcript.pyannote[44].start 2259.62721875
transcript.pyannote[44].end 2272.85721875
transcript.pyannote[45].speaker SPEAKER_21
transcript.pyannote[45].start 2273.12721875
transcript.pyannote[45].end 2273.97096875
transcript.pyannote[46].speaker SPEAKER_21
transcript.pyannote[46].start 2274.32534375
transcript.pyannote[46].end 2276.31659375
transcript.pyannote[47].speaker SPEAKER_21
transcript.pyannote[47].start 2276.77221875
transcript.pyannote[47].end 2279.92784375
transcript.pyannote[48].speaker SPEAKER_21
transcript.pyannote[48].start 2280.23159375
transcript.pyannote[48].end 2290.06971875
transcript.pyannote[49].speaker SPEAKER_21
transcript.pyannote[49].start 2290.35659375
transcript.pyannote[49].end 2301.93284375
transcript.pyannote[50].speaker SPEAKER_21
transcript.pyannote[50].start 2302.21971875
transcript.pyannote[50].end 2302.81034375
transcript.pyannote[51].speaker SPEAKER_21
transcript.pyannote[51].start 2303.02971875
transcript.pyannote[51].end 2322.85784375
transcript.pyannote[52].speaker SPEAKER_21
transcript.pyannote[52].start 2323.06034375
transcript.pyannote[52].end 2337.70784375
transcript.pyannote[53].speaker SPEAKER_08
transcript.pyannote[53].start 2344.49159375
transcript.pyannote[53].end 2349.48659375
transcript.pyannote[54].speaker SPEAKER_12
transcript.pyannote[54].start 2371.10346875
transcript.pyannote[54].end 2382.00471875
transcript.pyannote[55].speaker SPEAKER_12
transcript.pyannote[55].start 2382.54471875
transcript.pyannote[55].end 2396.88846875
transcript.pyannote[56].speaker SPEAKER_12
transcript.pyannote[56].start 2397.20909375
transcript.pyannote[56].end 2411.26596875
transcript.pyannote[57].speaker SPEAKER_12
transcript.pyannote[57].start 2411.48534375
transcript.pyannote[57].end 2428.96784375
transcript.pyannote[58].speaker SPEAKER_12
transcript.pyannote[58].start 2430.19971875
transcript.pyannote[58].end 2446.28159375
transcript.pyannote[59].speaker SPEAKER_12
transcript.pyannote[59].start 2446.80471875
transcript.pyannote[59].end 2450.70284375
transcript.pyannote[60].speaker SPEAKER_12
transcript.pyannote[60].start 2451.31034375
transcript.pyannote[60].end 2456.08596875
transcript.pyannote[61].speaker SPEAKER_12
transcript.pyannote[61].start 2456.74409375
transcript.pyannote[61].end 2464.15221875
transcript.pyannote[62].speaker SPEAKER_12
transcript.pyannote[62].start 2465.08034375
transcript.pyannote[62].end 2498.62784375
transcript.pyannote[63].speaker SPEAKER_12
transcript.pyannote[63].start 2499.50534375
transcript.pyannote[63].end 2501.68221875
transcript.pyannote[64].speaker SPEAKER_12
transcript.pyannote[64].start 2501.85096875
transcript.pyannote[64].end 2512.54971875
transcript.pyannote[65].speaker SPEAKER_12
transcript.pyannote[65].start 2513.12346875
transcript.pyannote[65].end 2518.62471875
transcript.pyannote[66].speaker SPEAKER_12
transcript.pyannote[66].start 2519.72159375
transcript.pyannote[66].end 2524.46346875
transcript.pyannote[67].speaker SPEAKER_12
transcript.pyannote[67].start 2525.23971875
transcript.pyannote[67].end 2529.52596875
transcript.pyannote[68].speaker SPEAKER_12
transcript.pyannote[68].start 2529.91409375
transcript.pyannote[68].end 2536.61346875
transcript.pyannote[69].speaker SPEAKER_12
transcript.pyannote[69].start 2536.88346875
transcript.pyannote[69].end 2546.56971875
transcript.pyannote[70].speaker SPEAKER_12
transcript.pyannote[70].start 2546.95784375
transcript.pyannote[70].end 2549.96159375
transcript.pyannote[71].speaker SPEAKER_08
transcript.pyannote[71].start 2555.32784375
transcript.pyannote[71].end 2558.65221875
transcript.pyannote[72].speaker SPEAKER_08
transcript.pyannote[72].start 2558.97284375
transcript.pyannote[72].end 2560.28909375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 2576.89409375
transcript.pyannote[73].end 2580.16784375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 2580.74159375
transcript.pyannote[74].end 2584.84221875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 2585.14596875
transcript.pyannote[75].end 2600.45159375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 2601.36284375
transcript.pyannote[76].end 2647.38096875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 2647.97159375
transcript.pyannote[77].end 2654.82284375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 2655.37971875
transcript.pyannote[78].end 2673.94221875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 2674.71846875
transcript.pyannote[79].end 2684.99534375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 2685.56909375
transcript.pyannote[80].end 2693.92221875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 2694.61409375
transcript.pyannote[81].end 2731.36784375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 2731.73909375
transcript.pyannote[82].end 2738.99534375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 2739.61971875
transcript.pyannote[83].end 2760.10596875
transcript.pyannote[84].speaker SPEAKER_08
transcript.pyannote[84].start 2764.64534375
transcript.pyannote[84].end 2769.20159375
transcript.pyannote[85].speaker SPEAKER_22
transcript.pyannote[85].start 2785.51971875
transcript.pyannote[85].end 2786.85284375
transcript.pyannote[86].speaker SPEAKER_22
transcript.pyannote[86].start 2787.10596875
transcript.pyannote[86].end 2788.89471875
transcript.pyannote[87].speaker SPEAKER_22
transcript.pyannote[87].start 2789.77221875
transcript.pyannote[87].end 2796.23534375
transcript.pyannote[88].speaker SPEAKER_22
transcript.pyannote[88].start 2796.57284375
transcript.pyannote[88].end 2797.93971875
transcript.pyannote[89].speaker SPEAKER_22
transcript.pyannote[89].start 2798.20971875
transcript.pyannote[89].end 2800.03221875
transcript.pyannote[90].speaker SPEAKER_22
transcript.pyannote[90].start 2800.45409375
transcript.pyannote[90].end 2801.85471875
transcript.pyannote[91].speaker SPEAKER_22
transcript.pyannote[91].start 2802.15846875
transcript.pyannote[91].end 2803.72784375
transcript.pyannote[92].speaker SPEAKER_22
transcript.pyannote[92].start 2804.06534375
transcript.pyannote[92].end 2805.31409375
transcript.pyannote[93].speaker SPEAKER_22
transcript.pyannote[93].start 2806.20846875
transcript.pyannote[93].end 2811.74346875
transcript.pyannote[94].speaker SPEAKER_22
transcript.pyannote[94].start 2812.28346875
transcript.pyannote[94].end 2817.12659375
transcript.pyannote[95].speaker SPEAKER_22
transcript.pyannote[95].start 2817.78471875
transcript.pyannote[95].end 2829.12471875
transcript.pyannote[96].speaker SPEAKER_22
transcript.pyannote[96].start 2829.74909375
transcript.pyannote[96].end 2847.68721875
transcript.pyannote[97].speaker SPEAKER_22
transcript.pyannote[97].start 2848.46346875
transcript.pyannote[97].end 2854.16721875
transcript.pyannote[98].speaker SPEAKER_22
transcript.pyannote[98].start 2854.58909375
transcript.pyannote[98].end 2856.32721875
transcript.pyannote[99].speaker SPEAKER_22
transcript.pyannote[99].start 2857.00221875
transcript.pyannote[99].end 2859.75284375
transcript.pyannote[100].speaker SPEAKER_22
transcript.pyannote[100].start 2860.54596875
transcript.pyannote[100].end 2861.54159375
transcript.pyannote[101].speaker SPEAKER_22
transcript.pyannote[101].start 2862.04784375
transcript.pyannote[101].end 2865.87846875
transcript.pyannote[102].speaker SPEAKER_22
transcript.pyannote[102].start 2866.21596875
transcript.pyannote[102].end 2868.08909375
transcript.pyannote[103].speaker SPEAKER_22
transcript.pyannote[103].start 2869.01721875
transcript.pyannote[103].end 2870.55284375
transcript.pyannote[104].speaker SPEAKER_22
transcript.pyannote[104].start 2870.80596875
transcript.pyannote[104].end 2873.16846875
transcript.pyannote[105].speaker SPEAKER_22
transcript.pyannote[105].start 2873.79284375
transcript.pyannote[105].end 2880.20534375
transcript.pyannote[106].speaker SPEAKER_22
transcript.pyannote[106].start 2880.52596875
transcript.pyannote[106].end 2883.83346875
transcript.pyannote[107].speaker SPEAKER_22
transcript.pyannote[107].start 2884.32284375
transcript.pyannote[107].end 2890.97159375
transcript.pyannote[108].speaker SPEAKER_22
transcript.pyannote[108].start 2891.96721875
transcript.pyannote[108].end 2894.02596875
transcript.pyannote[109].speaker SPEAKER_22
transcript.pyannote[109].start 2894.39721875
transcript.pyannote[109].end 2906.53034375
transcript.pyannote[110].speaker SPEAKER_22
transcript.pyannote[110].start 2907.12096875
transcript.pyannote[110].end 2907.98159375
transcript.pyannote[111].speaker SPEAKER_22
transcript.pyannote[111].start 2908.20096875
transcript.pyannote[111].end 2915.54159375
transcript.pyannote[112].speaker SPEAKER_22
transcript.pyannote[112].start 2916.33471875
transcript.pyannote[112].end 2920.16534375
transcript.pyannote[113].speaker SPEAKER_22
transcript.pyannote[113].start 2920.48596875
transcript.pyannote[113].end 2928.75471875
transcript.pyannote[114].speaker SPEAKER_22
transcript.pyannote[114].start 2929.42971875
transcript.pyannote[114].end 2939.70659375
transcript.pyannote[115].speaker SPEAKER_22
transcript.pyannote[115].start 2940.29721875
transcript.pyannote[115].end 2945.56221875
transcript.pyannote[116].speaker SPEAKER_22
transcript.pyannote[116].start 2946.01784375
transcript.pyannote[116].end 2952.14346875
transcript.pyannote[117].speaker SPEAKER_22
transcript.pyannote[117].start 2952.27846875
transcript.pyannote[117].end 2965.52534375
transcript.pyannote[118].speaker SPEAKER_08
transcript.pyannote[118].start 2969.76096875
transcript.pyannote[118].end 2977.82721875
transcript.pyannote[119].speaker SPEAKER_25
transcript.pyannote[119].start 4713.74159375
transcript.pyannote[119].end 4714.02846875
transcript.pyannote[120].speaker SPEAKER_25
transcript.pyannote[120].start 5158.87034375
transcript.pyannote[120].end 5158.88721875
transcript.pyannote[121].speaker SPEAKER_04
transcript.pyannote[121].start 5461.92846875
transcript.pyannote[121].end 5461.96221875
transcript.pyannote[122].speaker SPEAKER_08
transcript.pyannote[122].start 5461.96221875
transcript.pyannote[122].end 5465.59034375
transcript.pyannote[123].speaker SPEAKER_04
transcript.pyannote[123].start 5466.58596875
transcript.pyannote[123].end 5467.96971875
transcript.pyannote[124].speaker SPEAKER_08
transcript.pyannote[124].start 5467.96971875
transcript.pyannote[124].end 5469.47159375
transcript.pyannote[125].speaker SPEAKER_08
transcript.pyannote[125].start 5470.68659375
transcript.pyannote[125].end 5475.79971875
transcript.pyannote[126].speaker SPEAKER_04
transcript.pyannote[126].start 5477.90909375
transcript.pyannote[126].end 5497.04534375
transcript.pyannote[127].speaker SPEAKER_04
transcript.pyannote[127].start 5497.75409375
transcript.pyannote[127].end 5514.37596875
transcript.pyannote[128].speaker SPEAKER_04
transcript.pyannote[128].start 5515.32096875
transcript.pyannote[128].end 5560.73159375
transcript.pyannote[129].speaker SPEAKER_04
transcript.pyannote[129].start 5560.96784375
transcript.pyannote[129].end 5566.41846875
transcript.pyannote[130].speaker SPEAKER_08
transcript.pyannote[130].start 5567.85284375
transcript.pyannote[130].end 5574.88971875
transcript.pyannote[131].speaker SPEAKER_08
transcript.pyannote[131].start 5575.34534375
transcript.pyannote[131].end 5579.71596875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 5580.22221875
transcript.pyannote[132].end 5581.09971875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 5581.33596875
transcript.pyannote[133].end 5592.94596875
transcript.pyannote[134].speaker SPEAKER_08
transcript.pyannote[134].start 5592.94596875
transcript.pyannote[134].end 5593.97534375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 5594.07659375
transcript.pyannote[135].end 5605.75409375
transcript.pyannote[136].speaker SPEAKER_08
transcript.pyannote[136].start 5605.41659375
transcript.pyannote[136].end 5606.47971875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 5606.56409375
transcript.pyannote[137].end 5618.42721875
transcript.pyannote[138].speaker SPEAKER_08
transcript.pyannote[138].start 5618.42721875
transcript.pyannote[138].end 5619.49034375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 5619.69284375
transcript.pyannote[139].end 5631.20159375
transcript.pyannote[140].speaker SPEAKER_08
transcript.pyannote[140].start 5630.86409375
transcript.pyannote[140].end 5631.94409375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 5632.14659375
transcript.pyannote[141].end 5645.02221875
transcript.pyannote[142].speaker SPEAKER_08
transcript.pyannote[142].start 5644.66784375
transcript.pyannote[142].end 5645.68034375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 5646.15284375
transcript.pyannote[143].end 5654.45534375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 5654.60721875
transcript.pyannote[144].end 5659.21409375
transcript.pyannote[145].speaker SPEAKER_08
transcript.pyannote[145].start 5659.14659375
transcript.pyannote[145].end 5660.12534375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 5660.31096875
transcript.pyannote[146].end 5669.77784375
transcript.pyannote[147].speaker SPEAKER_08
transcript.pyannote[147].start 5669.77784375
transcript.pyannote[147].end 5670.80721875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 5671.00971875
transcript.pyannote[148].end 5682.16409375
transcript.pyannote[149].speaker SPEAKER_08
transcript.pyannote[149].start 5682.16409375
transcript.pyannote[149].end 5683.39596875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 5683.75034375
transcript.pyannote[150].end 5693.01471875
transcript.pyannote[151].speaker SPEAKER_08
transcript.pyannote[151].start 5693.01471875
transcript.pyannote[151].end 5696.98034375
transcript.pyannote[152].speaker SPEAKER_08
transcript.pyannote[152].start 5697.14909375
transcript.pyannote[152].end 5698.60034375
transcript.pyannote[153].speaker SPEAKER_08
transcript.pyannote[153].start 5698.71846875
transcript.pyannote[153].end 5701.89096875
transcript.pyannote[154].speaker SPEAKER_08
transcript.pyannote[154].start 5702.97096875
transcript.pyannote[154].end 5703.88221875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 5704.15221875
transcript.pyannote[155].end 5714.90159375
transcript.pyannote[156].speaker SPEAKER_08
transcript.pyannote[156].start 5714.81721875
transcript.pyannote[156].end 5715.76221875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 5715.79596875
transcript.pyannote[157].end 5729.39721875
transcript.pyannote[158].speaker SPEAKER_08
transcript.pyannote[158].start 5729.39721875
transcript.pyannote[158].end 5730.34221875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 5730.52784375
transcript.pyannote[159].end 5742.99846875
transcript.pyannote[160].speaker SPEAKER_08
transcript.pyannote[160].start 5742.93096875
transcript.pyannote[160].end 5743.96034375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 5743.96034375
transcript.pyannote[161].end 5757.37596875
transcript.pyannote[162].speaker SPEAKER_08
transcript.pyannote[162].start 5757.37596875
transcript.pyannote[162].end 5758.35471875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 5758.54034375
transcript.pyannote[163].end 5768.34471875
transcript.pyannote[164].speaker SPEAKER_08
transcript.pyannote[164].start 5768.34471875
transcript.pyannote[164].end 5770.53846875
transcript.pyannote[165].speaker SPEAKER_08
transcript.pyannote[165].start 5770.75784375
transcript.pyannote[165].end 5777.08596875
transcript.pyannote[166].speaker SPEAKER_08
transcript.pyannote[166].start 5778.11534375
transcript.pyannote[166].end 5779.06034375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 5779.36409375
transcript.pyannote[167].end 5790.16409375
transcript.pyannote[168].speaker SPEAKER_08
transcript.pyannote[168].start 5791.34534375
transcript.pyannote[168].end 5799.36096875
transcript.pyannote[169].speaker SPEAKER_08
transcript.pyannote[169].start 5801.26784375
transcript.pyannote[169].end 5802.33096875
transcript.pyannote[170].speaker SPEAKER_08
transcript.pyannote[170].start 5803.15784375
transcript.pyannote[170].end 5804.00159375
transcript.pyannote[171].speaker SPEAKER_08
transcript.pyannote[171].start 5804.32221875
transcript.pyannote[171].end 5805.25034375
transcript.pyannote[172].speaker SPEAKER_08
transcript.pyannote[172].start 5805.97596875
transcript.pyannote[172].end 5806.34721875
transcript.pyannote[173].speaker SPEAKER_08
transcript.pyannote[173].start 5806.85346875
transcript.pyannote[173].end 5807.61284375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 5807.84909375
transcript.pyannote[174].end 5808.94596875
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 5809.19909375
transcript.pyannote[175].end 5818.32846875
transcript.pyannote[176].speaker SPEAKER_08
transcript.pyannote[176].start 5818.44659375
transcript.pyannote[176].end 5819.25659375
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 5819.49284375
transcript.pyannote[177].end 5830.02284375
transcript.pyannote[178].speaker SPEAKER_08
transcript.pyannote[178].start 5829.80346875
transcript.pyannote[178].end 5830.96784375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 5831.05221875
transcript.pyannote[179].end 5841.78471875
transcript.pyannote[180].speaker SPEAKER_08
transcript.pyannote[180].start 5841.70034375
transcript.pyannote[180].end 5842.67909375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 5842.89846875
transcript.pyannote[181].end 5853.12471875
transcript.pyannote[182].speaker SPEAKER_08
transcript.pyannote[182].start 5853.12471875
transcript.pyannote[182].end 5854.03596875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 5854.12034375
transcript.pyannote[183].end 5865.02159375
transcript.pyannote[184].speaker SPEAKER_08
transcript.pyannote[184].start 5865.02159375
transcript.pyannote[184].end 5866.13534375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 5866.13534375
transcript.pyannote[185].end 5877.72846875
transcript.pyannote[186].speaker SPEAKER_08
transcript.pyannote[186].start 5877.34034375
transcript.pyannote[186].end 5878.43721875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 5878.48784375
transcript.pyannote[187].end 5890.24971875
transcript.pyannote[188].speaker SPEAKER_08
transcript.pyannote[188].start 5890.24971875
transcript.pyannote[188].end 5891.12721875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 5891.46471875
transcript.pyannote[189].end 5901.15096875
transcript.pyannote[190].speaker SPEAKER_08
transcript.pyannote[190].start 5901.15096875
transcript.pyannote[190].end 5902.16346875
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 5902.23096875
transcript.pyannote[191].end 5913.38534375
transcript.pyannote[192].speaker SPEAKER_08
transcript.pyannote[192].start 5913.38534375
transcript.pyannote[192].end 5914.43159375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 5914.53284375
transcript.pyannote[193].end 5925.33284375
transcript.pyannote[194].speaker SPEAKER_08
transcript.pyannote[194].start 5925.36659375
transcript.pyannote[194].end 5926.46346875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 5926.53096875
transcript.pyannote[195].end 5936.95971875
transcript.pyannote[196].speaker SPEAKER_08
transcript.pyannote[196].start 5936.68971875
transcript.pyannote[196].end 5937.85409375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 5937.98909375
transcript.pyannote[197].end 5948.35034375
transcript.pyannote[198].speaker SPEAKER_08
transcript.pyannote[198].start 5948.50221875
transcript.pyannote[198].end 5955.03284375
transcript.pyannote[199].speaker SPEAKER_08
transcript.pyannote[199].start 5955.11721875
transcript.pyannote[199].end 5956.14659375
transcript.pyannote[200].speaker SPEAKER_08
transcript.pyannote[200].start 5957.63159375
transcript.pyannote[200].end 5958.05346875
transcript.pyannote[201].speaker SPEAKER_08
transcript.pyannote[201].start 5959.08284375
transcript.pyannote[201].end 5963.16659375
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 5963.38596875
transcript.pyannote[202].end 5964.44909375
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 5964.58409375
transcript.pyannote[203].end 5975.04659375
transcript.pyannote[204].speaker SPEAKER_08
transcript.pyannote[204].start 5975.04659375
transcript.pyannote[204].end 5975.94096875
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 5976.00846875
transcript.pyannote[205].end 5986.94346875
transcript.pyannote[206].speaker SPEAKER_08
transcript.pyannote[206].start 5986.53846875
transcript.pyannote[206].end 5987.48346875
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 5987.48346875
transcript.pyannote[207].end 5999.34659375
transcript.pyannote[208].speaker SPEAKER_08
transcript.pyannote[208].start 5999.27909375
transcript.pyannote[208].end 6000.42659375
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 6000.42659375
transcript.pyannote[209].end 6011.02409375
transcript.pyannote[210].speaker SPEAKER_08
transcript.pyannote[210].start 6010.95659375
transcript.pyannote[210].end 6011.96909375
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 6011.96909375
transcript.pyannote[211].end 6022.92096875
transcript.pyannote[212].speaker SPEAKER_08
transcript.pyannote[212].start 6024.23721875
transcript.pyannote[212].end 6025.33409375
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 6025.51971875
transcript.pyannote[213].end 6037.43346875
transcript.pyannote[214].speaker SPEAKER_08
transcript.pyannote[214].start 6037.02846875
transcript.pyannote[214].end 6038.17596875
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 6038.17596875
transcript.pyannote[215].end 6050.46096875
transcript.pyannote[216].speaker SPEAKER_08
transcript.pyannote[216].start 6050.15721875
transcript.pyannote[216].end 6051.10221875
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 6051.10221875
transcript.pyannote[217].end 6051.11909375
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 6051.20346875
transcript.pyannote[218].end 6062.50971875
transcript.pyannote[219].speaker SPEAKER_08
transcript.pyannote[219].start 6062.39159375
transcript.pyannote[219].end 6063.47159375
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 6063.47159375
transcript.pyannote[220].end 6075.68909375
transcript.pyannote[221].speaker SPEAKER_08
transcript.pyannote[221].start 6075.40221875
transcript.pyannote[221].end 6076.61721875
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 6076.73534375
transcript.pyannote[222].end 6087.70409375
transcript.pyannote[223].speaker SPEAKER_08
transcript.pyannote[223].start 6087.70409375
transcript.pyannote[223].end 6088.61534375
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 6088.69971875
transcript.pyannote[224].end 6098.70659375
transcript.pyannote[225].speaker SPEAKER_08
transcript.pyannote[225].start 6098.55471875
transcript.pyannote[225].end 6099.58409375
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 6099.66846875
transcript.pyannote[226].end 6109.11846875
transcript.pyannote[227].speaker SPEAKER_08
transcript.pyannote[227].start 6109.08471875
transcript.pyannote[227].end 6110.11409375
transcript.pyannote[228].speaker SPEAKER_00
transcript.pyannote[228].start 6110.14784375
transcript.pyannote[228].end 6121.62284375
transcript.pyannote[229].speaker SPEAKER_08
transcript.pyannote[229].start 6121.26846875
transcript.pyannote[229].end 6122.38221875
transcript.pyannote[230].speaker SPEAKER_00
transcript.pyannote[230].start 6122.38221875
transcript.pyannote[230].end 6138.90284375
transcript.pyannote[231].speaker SPEAKER_08
transcript.pyannote[231].start 6139.00409375
transcript.pyannote[231].end 6140.21909375
transcript.pyannote[232].speaker SPEAKER_00
transcript.pyannote[232].start 6140.21909375
transcript.pyannote[232].end 6149.97284375
transcript.pyannote[233].speaker SPEAKER_08
transcript.pyannote[233].start 6151.13721875
transcript.pyannote[233].end 6151.67721875
transcript.pyannote[234].speaker SPEAKER_08
transcript.pyannote[234].start 6152.08221875
transcript.pyannote[234].end 6152.94284375
transcript.pyannote[235].speaker SPEAKER_08
transcript.pyannote[235].start 6153.12846875
transcript.pyannote[235].end 6153.55034375
transcript.pyannote[236].speaker SPEAKER_08
transcript.pyannote[236].start 6154.24221875
transcript.pyannote[236].end 6155.10284375
transcript.pyannote[237].speaker SPEAKER_08
transcript.pyannote[237].start 6158.68034375
transcript.pyannote[237].end 6159.76034375
transcript.pyannote[238].speaker SPEAKER_00
transcript.pyannote[238].start 6161.26221875
transcript.pyannote[238].end 6170.56034375
transcript.pyannote[239].speaker SPEAKER_08
transcript.pyannote[239].start 6170.56034375
transcript.pyannote[239].end 6171.50534375
transcript.pyannote[240].speaker SPEAKER_00
transcript.pyannote[240].start 6171.70784375
transcript.pyannote[240].end 6182.35596875
transcript.pyannote[241].speaker SPEAKER_08
transcript.pyannote[241].start 6182.38971875
transcript.pyannote[241].end 6183.50346875
transcript.pyannote[242].speaker SPEAKER_00
transcript.pyannote[242].start 6183.58784375
transcript.pyannote[242].end 6192.90284375
transcript.pyannote[243].speaker SPEAKER_08
transcript.pyannote[243].start 6192.90284375
transcript.pyannote[243].end 6193.91534375
transcript.pyannote[244].speaker SPEAKER_00
transcript.pyannote[244].start 6194.08409375
transcript.pyannote[244].end 6203.04471875
transcript.pyannote[245].speaker SPEAKER_08
transcript.pyannote[245].start 6203.04471875
transcript.pyannote[245].end 6204.10784375
transcript.pyannote[246].speaker SPEAKER_00
transcript.pyannote[246].start 6204.32721875
transcript.pyannote[246].end 6214.04721875
transcript.pyannote[247].speaker SPEAKER_08
transcript.pyannote[247].start 6214.04721875
transcript.pyannote[247].end 6215.04284375
transcript.pyannote[248].speaker SPEAKER_00
transcript.pyannote[248].start 6215.16096875
transcript.pyannote[248].end 6224.61096875
transcript.pyannote[249].speaker SPEAKER_08
transcript.pyannote[249].start 6224.66159375
transcript.pyannote[249].end 6225.75846875
transcript.pyannote[250].speaker SPEAKER_00
transcript.pyannote[250].start 6225.84284375
transcript.pyannote[250].end 6234.88784375
transcript.pyannote[251].speaker SPEAKER_00
transcript.pyannote[251].start 6235.05659375
transcript.pyannote[251].end 6235.20846875
transcript.pyannote[252].speaker SPEAKER_08
transcript.pyannote[252].start 6235.20846875
transcript.pyannote[252].end 6235.96784375
transcript.pyannote[253].speaker SPEAKER_00
transcript.pyannote[253].start 6235.96784375
transcript.pyannote[253].end 6236.10284375
transcript.pyannote[254].speaker SPEAKER_00
transcript.pyannote[254].start 6236.18721875
transcript.pyannote[254].end 6248.08409375
transcript.pyannote[255].speaker SPEAKER_08
transcript.pyannote[255].start 6248.48909375
transcript.pyannote[255].end 6249.56909375
transcript.pyannote[256].speaker SPEAKER_00
transcript.pyannote[256].start 6249.63659375
transcript.pyannote[256].end 6259.74471875
transcript.pyannote[257].speaker SPEAKER_08
transcript.pyannote[257].start 6260.87534375
transcript.pyannote[257].end 6262.12409375
transcript.pyannote[258].speaker SPEAKER_00
transcript.pyannote[258].start 6262.36034375
transcript.pyannote[258].end 6265.09409375
transcript.pyannote[259].speaker SPEAKER_00
transcript.pyannote[259].start 6265.14471875
transcript.pyannote[259].end 6272.40096875
transcript.pyannote[260].speaker SPEAKER_08
transcript.pyannote[260].start 6272.48534375
transcript.pyannote[260].end 6273.63284375
transcript.pyannote[261].speaker SPEAKER_00
transcript.pyannote[261].start 6273.81846875
transcript.pyannote[261].end 6295.33409375
transcript.pyannote[262].speaker SPEAKER_08
transcript.pyannote[262].start 6295.33409375
transcript.pyannote[262].end 6296.02596875
transcript.pyannote[263].speaker SPEAKER_00
transcript.pyannote[263].start 6296.02596875
transcript.pyannote[263].end 6306.97784375
transcript.pyannote[264].speaker SPEAKER_08
transcript.pyannote[264].start 6308.10846875
transcript.pyannote[264].end 6312.88409375
transcript.pyannote[265].speaker SPEAKER_08
transcript.pyannote[265].start 6312.93471875
transcript.pyannote[265].end 6313.00221875
transcript.pyannote[266].speaker SPEAKER_08
transcript.pyannote[266].start 6313.32284375
transcript.pyannote[266].end 6320.32596875
transcript.pyannote[267].speaker SPEAKER_08
transcript.pyannote[267].start 6321.99659375
transcript.pyannote[267].end 6323.02596875
transcript.pyannote[268].speaker SPEAKER_00
transcript.pyannote[268].start 6323.43096875
transcript.pyannote[268].end 6331.05846875
transcript.pyannote[269].speaker SPEAKER_08
transcript.pyannote[269].start 6331.51409375
transcript.pyannote[269].end 6332.34096875
transcript.pyannote[270].speaker SPEAKER_00
transcript.pyannote[270].start 6332.34096875
transcript.pyannote[270].end 6342.31409375
transcript.pyannote[271].speaker SPEAKER_08
transcript.pyannote[271].start 6342.31409375
transcript.pyannote[271].end 6343.37721875
transcript.pyannote[272].speaker SPEAKER_00
transcript.pyannote[272].start 6343.44471875
transcript.pyannote[272].end 6355.74659375
transcript.pyannote[273].speaker SPEAKER_08
transcript.pyannote[273].start 6355.83096875
transcript.pyannote[273].end 6357.14721875
transcript.pyannote[274].speaker SPEAKER_00
transcript.pyannote[274].start 6357.24846875
transcript.pyannote[274].end 6364.74096875
transcript.pyannote[275].speaker SPEAKER_08
transcript.pyannote[275].start 6365.07846875
transcript.pyannote[275].end 6366.36096875
transcript.pyannote[276].speaker SPEAKER_00
transcript.pyannote[276].start 6366.49596875
transcript.pyannote[276].end 6374.44409375
transcript.pyannote[277].speaker SPEAKER_08
transcript.pyannote[277].start 6374.66346875
transcript.pyannote[277].end 6375.76034375
transcript.pyannote[278].speaker SPEAKER_00
transcript.pyannote[278].start 6375.94596875
transcript.pyannote[278].end 6390.15471875
transcript.pyannote[279].speaker SPEAKER_08
transcript.pyannote[279].start 6390.07034375
transcript.pyannote[279].end 6391.23471875
transcript.pyannote[280].speaker SPEAKER_00
transcript.pyannote[280].start 6391.26846875
transcript.pyannote[280].end 6399.57096875
transcript.pyannote[281].speaker SPEAKER_08
transcript.pyannote[281].start 6399.50346875
transcript.pyannote[281].end 6400.54971875
transcript.pyannote[282].speaker SPEAKER_00
transcript.pyannote[282].start 6400.76909375
transcript.pyannote[282].end 6410.55659375
transcript.pyannote[283].speaker SPEAKER_08
transcript.pyannote[283].start 6410.55659375
transcript.pyannote[283].end 6411.50159375
transcript.pyannote[284].speaker SPEAKER_00
transcript.pyannote[284].start 6411.63659375
transcript.pyannote[284].end 6429.38909375
transcript.pyannote[285].speaker SPEAKER_08
transcript.pyannote[285].start 6429.57471875
transcript.pyannote[285].end 6438.06284375
transcript.pyannote[286].speaker SPEAKER_08
transcript.pyannote[286].start 6438.48471875
transcript.pyannote[286].end 6438.90659375
transcript.pyannote[287].speaker SPEAKER_00
transcript.pyannote[287].start 6439.29471875
transcript.pyannote[287].end 6455.54534375
transcript.pyannote[288].speaker SPEAKER_08
transcript.pyannote[288].start 6455.15721875
transcript.pyannote[288].end 6456.16971875
transcript.pyannote[289].speaker SPEAKER_00
transcript.pyannote[289].start 6456.28784375
transcript.pyannote[289].end 6472.52159375
transcript.pyannote[290].speaker SPEAKER_08
transcript.pyannote[290].start 6472.21784375
transcript.pyannote[290].end 6473.53409375
transcript.pyannote[291].speaker SPEAKER_00
transcript.pyannote[291].start 6473.55096875
transcript.pyannote[291].end 6483.97971875
transcript.pyannote[292].speaker SPEAKER_08
transcript.pyannote[292].start 6483.97971875
transcript.pyannote[292].end 6484.90784375
transcript.pyannote[293].speaker SPEAKER_00
transcript.pyannote[293].start 6485.00909375
transcript.pyannote[293].end 6494.61096875
transcript.pyannote[294].speaker SPEAKER_08
transcript.pyannote[294].start 6494.23971875
transcript.pyannote[294].end 6495.25221875
transcript.pyannote[295].speaker SPEAKER_00
transcript.pyannote[295].start 6495.28596875
transcript.pyannote[295].end 6508.66784375
transcript.pyannote[296].speaker SPEAKER_08
transcript.pyannote[296].start 6508.60034375
transcript.pyannote[296].end 6509.69721875
transcript.pyannote[297].speaker SPEAKER_00
transcript.pyannote[297].start 6509.74784375
transcript.pyannote[297].end 6525.71159375
transcript.pyannote[298].speaker SPEAKER_08
transcript.pyannote[298].start 6525.37409375
transcript.pyannote[298].end 6526.62284375
transcript.pyannote[299].speaker SPEAKER_00
transcript.pyannote[299].start 6526.92659375
transcript.pyannote[299].end 6545.28659375
transcript.pyannote[300].speaker SPEAKER_08
transcript.pyannote[300].start 6545.21909375
transcript.pyannote[300].end 6546.26534375
transcript.pyannote[301].speaker SPEAKER_00
transcript.pyannote[301].start 6546.26534375
transcript.pyannote[301].end 6560.27159375
transcript.pyannote[302].speaker SPEAKER_08
transcript.pyannote[302].start 6562.80284375
transcript.pyannote[302].end 6564.43971875
transcript.pyannote[303].speaker SPEAKER_00
transcript.pyannote[303].start 6564.97971875
transcript.pyannote[303].end 6568.70909375
transcript.pyannote[304].speaker SPEAKER_00
transcript.pyannote[304].start 6568.87784375
transcript.pyannote[304].end 6578.59784375
transcript.pyannote[305].speaker SPEAKER_08
transcript.pyannote[305].start 6578.83409375
transcript.pyannote[305].end 6582.29346875
transcript.pyannote[306].speaker SPEAKER_08
transcript.pyannote[306].start 6582.51284375
transcript.pyannote[306].end 6585.63471875
transcript.pyannote[307].speaker SPEAKER_00
transcript.pyannote[307].start 6585.98909375
transcript.pyannote[307].end 6596.21534375
transcript.pyannote[308].speaker SPEAKER_08
transcript.pyannote[308].start 6596.45159375
transcript.pyannote[308].end 6602.10471875
transcript.pyannote[309].speaker SPEAKER_08
transcript.pyannote[309].start 6602.23971875
transcript.pyannote[309].end 6602.84721875
transcript.pyannote[310].speaker SPEAKER_00
transcript.pyannote[310].start 6603.10034375
transcript.pyannote[310].end 6618.62534375
transcript.pyannote[311].speaker SPEAKER_08
transcript.pyannote[311].start 6618.91221875
transcript.pyannote[311].end 6624.70034375
transcript.pyannote[312].speaker SPEAKER_00
transcript.pyannote[312].start 6624.93659375
transcript.pyannote[312].end 6634.26846875
transcript.pyannote[313].speaker SPEAKER_08
transcript.pyannote[313].start 6634.13346875
transcript.pyannote[313].end 6635.17971875
transcript.pyannote[314].speaker SPEAKER_00
transcript.pyannote[314].start 6635.23034375
transcript.pyannote[314].end 6655.14284375
transcript.pyannote[315].speaker SPEAKER_08
transcript.pyannote[315].start 6654.85596875
transcript.pyannote[315].end 6655.85159375
transcript.pyannote[316].speaker SPEAKER_00
transcript.pyannote[316].start 6655.91909375
transcript.pyannote[316].end 6669.01409375
transcript.pyannote[317].speaker SPEAKER_08
transcript.pyannote[317].start 6669.01409375
transcript.pyannote[317].end 6669.95909375
transcript.pyannote[318].speaker SPEAKER_00
transcript.pyannote[318].start 6670.02659375
transcript.pyannote[318].end 6680.23596875
transcript.pyannote[319].speaker SPEAKER_08
transcript.pyannote[319].start 6679.42596875
transcript.pyannote[319].end 6681.53534375
transcript.pyannote[320].speaker SPEAKER_00
transcript.pyannote[320].start 6681.56909375
transcript.pyannote[320].end 6702.27471875
transcript.pyannote[321].speaker SPEAKER_00
transcript.pyannote[321].start 6702.69659375
transcript.pyannote[321].end 6714.84659375
transcript.pyannote[322].speaker SPEAKER_08
transcript.pyannote[322].start 6714.84659375
transcript.pyannote[322].end 6715.72409375
transcript.pyannote[323].speaker SPEAKER_00
transcript.pyannote[323].start 6715.94346875
transcript.pyannote[323].end 6730.82721875
transcript.pyannote[324].speaker SPEAKER_08
transcript.pyannote[324].start 6730.82721875
transcript.pyannote[324].end 6731.89034375
transcript.pyannote[325].speaker SPEAKER_00
transcript.pyannote[325].start 6731.89034375
transcript.pyannote[325].end 6745.01909375
transcript.pyannote[326].speaker SPEAKER_08
transcript.pyannote[326].start 6744.93471875
transcript.pyannote[326].end 6746.04846875
transcript.pyannote[327].speaker SPEAKER_00
transcript.pyannote[327].start 6746.04846875
transcript.pyannote[327].end 6756.56159375
transcript.pyannote[328].speaker SPEAKER_08
transcript.pyannote[328].start 6756.56159375
transcript.pyannote[328].end 6763.19346875
transcript.pyannote[329].speaker SPEAKER_00
transcript.pyannote[329].start 6763.46346875
transcript.pyannote[329].end 6769.03221875
transcript.pyannote[330].speaker SPEAKER_00
transcript.pyannote[330].start 6769.40346875
transcript.pyannote[330].end 6777.82409375
transcript.pyannote[331].speaker SPEAKER_08
transcript.pyannote[331].start 6777.63846875
transcript.pyannote[331].end 6778.83659375
transcript.pyannote[332].speaker SPEAKER_00
transcript.pyannote[332].start 6779.03909375
transcript.pyannote[332].end 6794.27721875
transcript.pyannote[333].speaker SPEAKER_08
transcript.pyannote[333].start 6793.90596875
transcript.pyannote[333].end 6795.13784375
transcript.pyannote[334].speaker SPEAKER_00
transcript.pyannote[334].start 6795.17159375
transcript.pyannote[334].end 6816.38346875
transcript.pyannote[335].speaker SPEAKER_08
transcript.pyannote[335].start 6816.38346875
transcript.pyannote[335].end 6817.36221875
transcript.pyannote[336].speaker SPEAKER_00
transcript.pyannote[336].start 6817.66596875
transcript.pyannote[336].end 6838.89471875
transcript.pyannote[337].speaker SPEAKER_08
transcript.pyannote[337].start 6838.96221875
transcript.pyannote[337].end 6861.08534375
transcript.pyannote[338].speaker SPEAKER_08
transcript.pyannote[338].start 6861.59159375
transcript.pyannote[338].end 6870.67034375
transcript.pyannote[339].speaker SPEAKER_08
transcript.pyannote[339].start 6871.86846875
transcript.pyannote[339].end 6874.85534375
transcript.pyannote[340].speaker SPEAKER_00
transcript.pyannote[340].start 6875.17596875
transcript.pyannote[340].end 6907.72784375
transcript.pyannote[341].speaker SPEAKER_08
transcript.pyannote[341].start 6908.90909375
transcript.pyannote[341].end 6918.25784375
transcript.pyannote[342].speaker SPEAKER_00
transcript.pyannote[342].start 6918.56159375
transcript.pyannote[342].end 6962.62221875
transcript.pyannote[343].speaker SPEAKER_08
transcript.pyannote[343].start 6918.59534375
transcript.pyannote[343].end 6919.08471875
transcript.pyannote[344].speaker SPEAKER_08
transcript.pyannote[344].start 6964.51221875
transcript.pyannote[344].end 6965.23784375
transcript.pyannote[345].speaker SPEAKER_08
transcript.pyannote[345].start 6965.94659375
transcript.pyannote[345].end 6967.76909375
transcript.pyannote[346].speaker SPEAKER_08
transcript.pyannote[346].start 6968.14034375
transcript.pyannote[346].end 6971.97096875
transcript.pyannote[347].speaker SPEAKER_08
transcript.pyannote[347].start 6972.34221875
transcript.pyannote[347].end 6979.15971875
transcript.pyannote[348].speaker SPEAKER_08
transcript.pyannote[348].start 6979.54784375
transcript.pyannote[348].end 6991.34346875
transcript.pyannote[349].speaker SPEAKER_02
transcript.pyannote[349].start 7118.19284375
transcript.pyannote[349].end 7118.98596875
transcript.pyannote[350].speaker SPEAKER_25
transcript.pyannote[350].start 7348.92471875
transcript.pyannote[350].end 7349.97096875
transcript.pyannote[351].speaker SPEAKER_00
transcript.pyannote[351].start 7612.56284375
transcript.pyannote[351].end 7614.26721875
transcript.pyannote[352].speaker SPEAKER_00
transcript.pyannote[352].start 7614.63846875
transcript.pyannote[352].end 7614.80721875
transcript.pyannote[353].speaker SPEAKER_21
transcript.pyannote[353].start 7647.98346875
transcript.pyannote[353].end 7648.91159375
transcript.pyannote[354].speaker SPEAKER_25
transcript.pyannote[354].start 11614.72221875
transcript.pyannote[354].end 11615.29596875
transcript.pyannote[355].speaker SPEAKER_25
transcript.pyannote[355].start 14058.55971875
transcript.pyannote[355].end 14058.71159375
transcript.pyannote[356].speaker SPEAKER_19
transcript.pyannote[356].start 14132.99534375
transcript.pyannote[356].end 14134.22721875
transcript.pyannote[357].speaker SPEAKER_25
transcript.pyannote[357].start 14477.11034375
transcript.pyannote[357].end 14477.90346875
transcript.pyannote[358].speaker SPEAKER_25
transcript.pyannote[358].start 14638.70534375
transcript.pyannote[358].end 14639.02596875
transcript.pyannote[359].speaker SPEAKER_25
transcript.pyannote[359].start 15133.61534375
transcript.pyannote[359].end 15136.04534375
transcript.pyannote[360].speaker SPEAKER_25
transcript.pyannote[360].start 15675.97784375
transcript.pyannote[360].end 15676.46721875
transcript.pyannote[361].speaker SPEAKER_25
transcript.pyannote[361].start 15679.72409375
transcript.pyannote[361].end 15682.03596875
transcript.pyannote[362].speaker SPEAKER_22
transcript.pyannote[362].start 19041.47721875
transcript.pyannote[362].end 19044.19409375
transcript.pyannote[363].speaker SPEAKER_30
transcript.pyannote[363].start 20540.01096875
transcript.pyannote[363].end 20542.20471875
transcript.pyannote[364].speaker SPEAKER_08
transcript.pyannote[364].start 20960.60346875
transcript.pyannote[364].end 20962.59471875
transcript.pyannote[365].speaker SPEAKER_08
transcript.pyannote[365].start 20963.10096875
transcript.pyannote[365].end 20965.68284375
transcript.pyannote[366].speaker SPEAKER_08
transcript.pyannote[366].start 20965.91909375
transcript.pyannote[366].end 20968.02846875
transcript.pyannote[367].speaker SPEAKER_08
transcript.pyannote[367].start 20968.07909375
transcript.pyannote[367].end 20968.75409375
transcript.pyannote[368].speaker SPEAKER_08
transcript.pyannote[368].start 20968.93971875
transcript.pyannote[368].end 20970.88034375
transcript.pyannote[369].speaker SPEAKER_08
transcript.pyannote[369].start 20971.33596875
transcript.pyannote[369].end 20972.98971875
transcript.pyannote[370].speaker SPEAKER_08
transcript.pyannote[370].start 20974.03596875
transcript.pyannote[370].end 20976.06096875
transcript.pyannote[371].speaker SPEAKER_29
transcript.pyannote[371].start 20976.97221875
transcript.pyannote[371].end 20979.18284375
transcript.pyannote[372].speaker SPEAKER_29
transcript.pyannote[372].start 20979.31784375
transcript.pyannote[372].end 20982.49034375
transcript.pyannote[373].speaker SPEAKER_29
transcript.pyannote[373].start 20982.55784375
transcript.pyannote[373].end 20984.39721875
transcript.pyannote[374].speaker SPEAKER_29
transcript.pyannote[374].start 20984.59971875
transcript.pyannote[374].end 20985.66284375
transcript.pyannote[375].speaker SPEAKER_29
transcript.pyannote[375].start 20985.76409375
transcript.pyannote[375].end 20989.66221875
transcript.pyannote[376].speaker SPEAKER_29
transcript.pyannote[376].start 20989.84784375
transcript.pyannote[376].end 20993.17221875
transcript.pyannote[377].speaker SPEAKER_29
transcript.pyannote[377].start 20993.76284375
transcript.pyannote[377].end 20995.53471875
transcript.pyannote[378].speaker SPEAKER_29
transcript.pyannote[378].start 20995.87221875
transcript.pyannote[378].end 20998.60596875
transcript.pyannote[379].speaker SPEAKER_29
transcript.pyannote[379].start 20999.04471875
transcript.pyannote[379].end 21001.79534375
transcript.pyannote[380].speaker SPEAKER_29
transcript.pyannote[380].start 21002.26784375
transcript.pyannote[380].end 21005.50784375
transcript.pyannote[381].speaker SPEAKER_29
transcript.pyannote[381].start 21005.86221875
transcript.pyannote[381].end 21008.52846875
transcript.pyannote[382].speaker SPEAKER_29
transcript.pyannote[382].start 21009.27096875
transcript.pyannote[382].end 21010.55346875
transcript.pyannote[383].speaker SPEAKER_29
transcript.pyannote[383].start 21010.67159375
transcript.pyannote[383].end 21012.93284375
transcript.pyannote[384].speaker SPEAKER_29
transcript.pyannote[384].start 21013.33784375
transcript.pyannote[384].end 21017.43846875
transcript.pyannote[385].speaker SPEAKER_29
transcript.pyannote[385].start 21017.77596875
transcript.pyannote[385].end 21020.27346875
transcript.pyannote[386].speaker SPEAKER_29
transcript.pyannote[386].start 21020.54346875
transcript.pyannote[386].end 21021.53909375
transcript.pyannote[387].speaker SPEAKER_29
transcript.pyannote[387].start 21021.92721875
transcript.pyannote[387].end 21026.17971875
transcript.pyannote[388].speaker SPEAKER_29
transcript.pyannote[388].start 21026.38221875
transcript.pyannote[388].end 21028.91346875
transcript.pyannote[389].speaker SPEAKER_29
transcript.pyannote[389].start 21029.04846875
transcript.pyannote[389].end 21031.64721875
transcript.pyannote[390].speaker SPEAKER_29
transcript.pyannote[390].start 21032.20409375
transcript.pyannote[390].end 21034.02659375
transcript.pyannote[391].speaker SPEAKER_29
transcript.pyannote[391].start 21034.38096875
transcript.pyannote[391].end 21035.93346875
transcript.pyannote[392].speaker SPEAKER_29
transcript.pyannote[392].start 21036.22034375
transcript.pyannote[392].end 21037.87409375
transcript.pyannote[393].speaker SPEAKER_29
transcript.pyannote[393].start 21038.12721875
transcript.pyannote[393].end 21040.37159375
transcript.pyannote[394].speaker SPEAKER_29
transcript.pyannote[394].start 21040.75971875
transcript.pyannote[394].end 21045.16409375
transcript.pyannote[395].speaker SPEAKER_29
transcript.pyannote[395].start 21045.48471875
transcript.pyannote[395].end 21046.19346875
transcript.pyannote[396].speaker SPEAKER_08
transcript.pyannote[396].start 21048.40409375
transcript.pyannote[396].end 21052.36971875
transcript.pyannote[397].speaker SPEAKER_08
transcript.pyannote[397].start 21053.48346875
transcript.pyannote[397].end 21054.19221875
transcript.pyannote[398].speaker SPEAKER_08
transcript.pyannote[398].start 21054.98534375
transcript.pyannote[398].end 21055.60971875
transcript.pyannote[399].speaker SPEAKER_08
transcript.pyannote[399].start 21057.21284375
transcript.pyannote[399].end 21058.42784375
transcript.pyannote[400].speaker SPEAKER_08
transcript.pyannote[400].start 21059.64284375
transcript.pyannote[400].end 21061.06034375
transcript.pyannote[401].speaker SPEAKER_08
transcript.pyannote[401].start 21061.27971875
transcript.pyannote[401].end 21062.52846875
transcript.pyannote[402].speaker SPEAKER_08
transcript.pyannote[402].start 21063.97971875
transcript.pyannote[402].end 21066.69659375
transcript.pyannote[403].speaker SPEAKER_08
transcript.pyannote[403].start 21067.50659375
transcript.pyannote[403].end 21068.80596875
transcript.pyannote[404].speaker SPEAKER_08
transcript.pyannote[404].start 21069.70034375
transcript.pyannote[404].end 21070.03784375
transcript.pyannote[405].speaker SPEAKER_08
transcript.pyannote[405].start 21070.51034375
transcript.pyannote[405].end 21072.95721875
transcript.pyannote[406].speaker SPEAKER_08
transcript.pyannote[406].start 21073.07534375
transcript.pyannote[406].end 21074.98221875
transcript.pyannote[407].speaker SPEAKER_08
transcript.pyannote[407].start 21075.74159375
transcript.pyannote[407].end 21078.00284375
transcript.pyannote[408].speaker SPEAKER_08
transcript.pyannote[408].start 21078.57659375
transcript.pyannote[408].end 21079.31909375
transcript.pyannote[409].speaker SPEAKER_08
transcript.pyannote[409].start 21079.48784375
transcript.pyannote[409].end 21079.85909375
transcript.pyannote[410].speaker SPEAKER_08
transcript.pyannote[410].start 21080.17971875
transcript.pyannote[410].end 21081.02346875
transcript.pyannote[411].speaker SPEAKER_08
transcript.pyannote[411].start 21081.76596875
transcript.pyannote[411].end 21083.14971875
transcript.pyannote[412].speaker SPEAKER_08
transcript.pyannote[412].start 21083.80784375
transcript.pyannote[412].end 21089.91659375
transcript.pyannote[413].speaker SPEAKER_08
transcript.pyannote[413].start 21090.64221875
transcript.pyannote[413].end 21094.45596875
transcript.pyannote[414].speaker SPEAKER_08
transcript.pyannote[414].start 21095.13096875
transcript.pyannote[414].end 21098.18534375
transcript.pyannote[415].speaker SPEAKER_08
transcript.pyannote[415].start 21099.36659375
transcript.pyannote[415].end 21103.23096875
transcript.pyannote[416].speaker SPEAKER_08
transcript.pyannote[416].start 21103.73721875
transcript.pyannote[416].end 21111.78659375
transcript.pyannote[417].speaker SPEAKER_08
transcript.pyannote[417].start 21112.12409375
transcript.pyannote[417].end 21119.85284375
transcript.pyannote[418].speaker SPEAKER_08
transcript.pyannote[418].start 21120.07221875
transcript.pyannote[418].end 21121.47284375
transcript.pyannote[419].speaker SPEAKER_08
transcript.pyannote[419].start 21122.14784375
transcript.pyannote[419].end 21126.51846875
transcript.pyannote[420].speaker SPEAKER_08
transcript.pyannote[420].start 21127.09221875
transcript.pyannote[420].end 21134.82096875
transcript.pyannote[421].speaker SPEAKER_03
transcript.pyannote[421].start 21601.33034375
transcript.pyannote[421].end 21607.74284375
transcript.pyannote[422].speaker SPEAKER_03
transcript.pyannote[422].start 21608.41784375
transcript.pyannote[422].end 21614.29034375
transcript.pyannote[423].speaker SPEAKER_03
transcript.pyannote[423].start 21619.74096875
transcript.pyannote[423].end 21620.51721875
transcript.pyannote[424].speaker SPEAKER_22
transcript.pyannote[424].start 21626.84534375
transcript.pyannote[424].end 21626.86221875
transcript.pyannote[425].speaker SPEAKER_03
transcript.pyannote[425].start 21626.86221875
transcript.pyannote[425].end 21629.12346875
transcript.pyannote[426].speaker SPEAKER_03
transcript.pyannote[426].start 21629.44409375
transcript.pyannote[426].end 21631.28346875
transcript.pyannote[427].speaker SPEAKER_22
transcript.pyannote[427].start 21642.26909375
transcript.pyannote[427].end 21651.09471875
transcript.pyannote[428].speaker SPEAKER_22
transcript.pyannote[428].start 21651.66846875
transcript.pyannote[428].end 21657.60846875
transcript.pyannote[429].speaker SPEAKER_22
transcript.pyannote[429].start 21658.40159375
transcript.pyannote[429].end 21659.95409375
transcript.pyannote[430].speaker SPEAKER_17
transcript.pyannote[430].start 21660.47721875
transcript.pyannote[430].end 21661.40534375
transcript.pyannote[431].speaker SPEAKER_22
transcript.pyannote[431].start 21660.69659375
transcript.pyannote[431].end 21660.96659375
transcript.pyannote[432].speaker SPEAKER_22
transcript.pyannote[432].start 21661.67534375
transcript.pyannote[432].end 21663.39659375
transcript.pyannote[433].speaker SPEAKER_22
transcript.pyannote[433].start 21664.40909375
transcript.pyannote[433].end 21666.29909375
transcript.pyannote[434].speaker SPEAKER_22
transcript.pyannote[434].start 21667.63221875
transcript.pyannote[434].end 21669.28596875
transcript.pyannote[435].speaker SPEAKER_17
transcript.pyannote[435].start 21670.09596875
transcript.pyannote[435].end 21670.83846875
transcript.pyannote[436].speaker SPEAKER_22
transcript.pyannote[436].start 21671.17596875
transcript.pyannote[436].end 21672.10409375
transcript.pyannote[437].speaker SPEAKER_22
transcript.pyannote[437].start 21672.44159375
transcript.pyannote[437].end 21673.42034375
transcript.pyannote[438].speaker SPEAKER_22
transcript.pyannote[438].start 21673.67346875
transcript.pyannote[438].end 21678.29721875
transcript.pyannote[439].speaker SPEAKER_22
transcript.pyannote[439].start 21678.85409375
transcript.pyannote[439].end 21681.03096875
transcript.pyannote[440].speaker SPEAKER_22
transcript.pyannote[440].start 21681.33471875
transcript.pyannote[440].end 21683.35971875
transcript.pyannote[441].speaker SPEAKER_17
transcript.pyannote[441].start 21683.47784375
transcript.pyannote[441].end 21685.84034375
transcript.pyannote[442].speaker SPEAKER_22
transcript.pyannote[442].start 21685.18221875
transcript.pyannote[442].end 21688.81034375
transcript.pyannote[443].speaker SPEAKER_22
transcript.pyannote[443].start 21689.40096875
transcript.pyannote[443].end 21690.78471875
transcript.pyannote[444].speaker SPEAKER_22
transcript.pyannote[444].start 21691.37534375
transcript.pyannote[444].end 21692.03346875
transcript.pyannote[445].speaker SPEAKER_22
transcript.pyannote[445].start 21692.80971875
transcript.pyannote[445].end 21694.24409375
transcript.pyannote[446].speaker SPEAKER_22
transcript.pyannote[446].start 21694.75034375
transcript.pyannote[446].end 21696.01596875
transcript.pyannote[447].speaker SPEAKER_22
transcript.pyannote[447].start 21696.64034375
transcript.pyannote[447].end 21697.70346875
transcript.pyannote[448].speaker SPEAKER_17
transcript.pyannote[448].start 21698.59784375
transcript.pyannote[448].end 21699.94784375
transcript.pyannote[449].speaker SPEAKER_22
transcript.pyannote[449].start 21699.77909375
transcript.pyannote[449].end 21700.75784375
transcript.pyannote[450].speaker SPEAKER_22
transcript.pyannote[450].start 21701.63534375
transcript.pyannote[450].end 21705.14534375
transcript.pyannote[451].speaker SPEAKER_22
transcript.pyannote[451].start 21705.63471875
transcript.pyannote[451].end 21708.50346875
transcript.pyannote[452].speaker SPEAKER_22
transcript.pyannote[452].start 21709.73534375
transcript.pyannote[452].end 21717.41346875
transcript.pyannote[453].speaker SPEAKER_22
transcript.pyannote[453].start 21717.81846875
transcript.pyannote[453].end 21718.98284375
transcript.pyannote[454].speaker SPEAKER_17
transcript.pyannote[454].start 21718.98284375
transcript.pyannote[454].end 21719.97846875
transcript.pyannote[455].speaker SPEAKER_22
transcript.pyannote[455].start 21719.97846875
transcript.pyannote[455].end 21719.99534375
transcript.pyannote[456].speaker SPEAKER_22
transcript.pyannote[456].start 21720.01221875
transcript.pyannote[456].end 21723.03284375
transcript.pyannote[457].speaker SPEAKER_22
transcript.pyannote[457].start 21723.43784375
transcript.pyannote[457].end 21725.68221875
transcript.pyannote[458].speaker SPEAKER_22
transcript.pyannote[458].start 21726.52596875
transcript.pyannote[458].end 21727.48784375
transcript.pyannote[459].speaker SPEAKER_22
transcript.pyannote[459].start 21728.26409375
transcript.pyannote[459].end 21730.77846875
transcript.pyannote[460].speaker SPEAKER_17
transcript.pyannote[460].start 21731.23409375
transcript.pyannote[460].end 21731.70659375
transcript.pyannote[461].speaker SPEAKER_22
transcript.pyannote[461].start 21732.43221875
transcript.pyannote[461].end 21740.26221875
transcript.pyannote[462].speaker SPEAKER_22
transcript.pyannote[462].start 21740.48159375
transcript.pyannote[462].end 21741.61221875
transcript.pyannote[463].speaker SPEAKER_22
transcript.pyannote[463].start 21742.52346875
transcript.pyannote[463].end 21743.11409375
transcript.pyannote[464].speaker SPEAKER_22
transcript.pyannote[464].start 21743.78909375
transcript.pyannote[464].end 21745.24034375
transcript.pyannote[465].speaker SPEAKER_22
transcript.pyannote[465].start 21745.83096875
transcript.pyannote[465].end 21747.45096875
transcript.pyannote[466].speaker SPEAKER_22
transcript.pyannote[466].start 21747.97409375
transcript.pyannote[466].end 21749.52659375
transcript.pyannote[467].speaker SPEAKER_22
transcript.pyannote[467].start 21750.20159375
transcript.pyannote[467].end 21751.83846875
transcript.pyannote[468].speaker SPEAKER_22
transcript.pyannote[468].start 21752.04096875
transcript.pyannote[468].end 21752.49659375
transcript.pyannote[469].speaker SPEAKER_22
transcript.pyannote[469].start 21752.73284375
transcript.pyannote[469].end 21753.86346875
transcript.pyannote[470].speaker SPEAKER_22
transcript.pyannote[470].start 21754.77471875
transcript.pyannote[470].end 21757.42409375
transcript.pyannote[471].speaker SPEAKER_22
transcript.pyannote[471].start 21758.41971875
transcript.pyannote[471].end 21759.48284375
transcript.pyannote[472].speaker SPEAKER_22
transcript.pyannote[472].start 21760.68096875
transcript.pyannote[472].end 21762.41909375
transcript.pyannote[473].speaker SPEAKER_22
transcript.pyannote[473].start 21763.02659375
transcript.pyannote[473].end 21765.37221875
transcript.pyannote[474].speaker SPEAKER_22
transcript.pyannote[474].start 21765.99659375
transcript.pyannote[474].end 21767.05971875
transcript.pyannote[475].speaker SPEAKER_22
transcript.pyannote[475].start 21768.03846875
transcript.pyannote[475].end 21770.16471875
transcript.pyannote[476].speaker SPEAKER_22
transcript.pyannote[476].start 21771.02534375
transcript.pyannote[476].end 21772.88159375
transcript.pyannote[477].speaker SPEAKER_17
transcript.pyannote[477].start 21772.88159375
transcript.pyannote[477].end 21772.89846875
transcript.pyannote[478].speaker SPEAKER_17
transcript.pyannote[478].start 21773.70846875
transcript.pyannote[478].end 21788.92971875
transcript.pyannote[479].speaker SPEAKER_22
transcript.pyannote[479].start 21776.25659375
transcript.pyannote[479].end 21777.06659375
transcript.pyannote[480].speaker SPEAKER_22
transcript.pyannote[480].start 21778.21409375
transcript.pyannote[480].end 21778.53471875
transcript.pyannote[481].speaker SPEAKER_22
transcript.pyannote[481].start 21778.82159375
transcript.pyannote[481].end 21779.34471875
transcript.pyannote[482].speaker SPEAKER_22
transcript.pyannote[482].start 21781.75784375
transcript.pyannote[482].end 21783.79971875
transcript.pyannote[483].speaker SPEAKER_22
transcript.pyannote[483].start 21786.12846875
transcript.pyannote[483].end 21786.98909375
transcript.pyannote[484].speaker SPEAKER_22
transcript.pyannote[484].start 21789.89159375
transcript.pyannote[484].end 21797.46846875
transcript.pyannote[485].speaker SPEAKER_22
transcript.pyannote[485].start 21798.48096875
transcript.pyannote[485].end 21801.72096875
transcript.pyannote[486].speaker SPEAKER_17
transcript.pyannote[486].start 21802.15971875
transcript.pyannote[486].end 21802.36221875
transcript.pyannote[487].speaker SPEAKER_22
transcript.pyannote[487].start 21802.36221875
transcript.pyannote[487].end 21807.15471875
transcript.pyannote[488].speaker SPEAKER_17
transcript.pyannote[488].start 21802.71659375
transcript.pyannote[488].end 21803.34096875
transcript.pyannote[489].speaker SPEAKER_22
transcript.pyannote[489].start 21807.69471875
transcript.pyannote[489].end 21809.66909375
transcript.pyannote[490].speaker SPEAKER_22
transcript.pyannote[490].start 21810.02346875
transcript.pyannote[490].end 21811.86284375
transcript.pyannote[491].speaker SPEAKER_22
transcript.pyannote[491].start 21813.36471875
transcript.pyannote[491].end 21814.64721875
transcript.pyannote[492].speaker SPEAKER_22
transcript.pyannote[492].start 21815.47409375
transcript.pyannote[492].end 21819.91221875
transcript.pyannote[493].speaker SPEAKER_22
transcript.pyannote[493].start 21819.99659375
transcript.pyannote[493].end 21824.13096875
transcript.pyannote[494].speaker SPEAKER_22
transcript.pyannote[494].start 21824.28284375
transcript.pyannote[494].end 21824.33346875
transcript.pyannote[495].speaker SPEAKER_17
transcript.pyannote[495].start 21824.33346875
transcript.pyannote[495].end 21825.02534375
transcript.pyannote[496].speaker SPEAKER_22
transcript.pyannote[496].start 21825.02534375
transcript.pyannote[496].end 21825.07596875
transcript.pyannote[497].speaker SPEAKER_17
transcript.pyannote[497].start 21825.07596875
transcript.pyannote[497].end 21825.14346875
transcript.pyannote[498].speaker SPEAKER_22
transcript.pyannote[498].start 21825.14346875
transcript.pyannote[498].end 21827.97846875
transcript.pyannote[499].speaker SPEAKER_17
transcript.pyannote[499].start 21825.73409375
transcript.pyannote[499].end 21826.42596875
transcript.pyannote[500].speaker SPEAKER_17
transcript.pyannote[500].start 21827.97846875
transcript.pyannote[500].end 21833.59784375
transcript.pyannote[501].speaker SPEAKER_22
transcript.pyannote[501].start 21828.01221875
transcript.pyannote[501].end 21828.09659375
transcript.pyannote[502].speaker SPEAKER_22
transcript.pyannote[502].start 21828.16409375
transcript.pyannote[502].end 21828.18096875
transcript.pyannote[503].speaker SPEAKER_22
transcript.pyannote[503].start 21831.45471875
transcript.pyannote[503].end 21834.76221875
transcript.pyannote[504].speaker SPEAKER_22
transcript.pyannote[504].start 21835.38659375
transcript.pyannote[504].end 21840.41534375
transcript.pyannote[505].speaker SPEAKER_22
transcript.pyannote[505].start 21841.03971875
transcript.pyannote[505].end 21849.74721875
transcript.pyannote[506].speaker SPEAKER_21
transcript.pyannote[506].start 21846.10221875
transcript.pyannote[506].end 21846.13596875
transcript.pyannote[507].speaker SPEAKER_17
transcript.pyannote[507].start 21846.13596875
transcript.pyannote[507].end 21847.03034375
transcript.pyannote[508].speaker SPEAKER_21
transcript.pyannote[508].start 21847.03034375
transcript.pyannote[508].end 21847.80659375
transcript.pyannote[509].speaker SPEAKER_17
transcript.pyannote[509].start 21847.80659375
transcript.pyannote[509].end 21847.82346875
transcript.pyannote[510].speaker SPEAKER_00
transcript.pyannote[510].start 21847.82346875
transcript.pyannote[510].end 21847.87409375
transcript.pyannote[511].speaker SPEAKER_22
transcript.pyannote[511].start 21850.75971875
transcript.pyannote[511].end 21859.70346875
transcript.pyannote[512].speaker SPEAKER_22
transcript.pyannote[512].start 21859.85534375
transcript.pyannote[512].end 21861.82971875
transcript.pyannote[513].speaker SPEAKER_22
transcript.pyannote[513].start 21862.09971875
transcript.pyannote[513].end 21867.07784375
transcript.pyannote[514].speaker SPEAKER_17
transcript.pyannote[514].start 21867.38159375
transcript.pyannote[514].end 21881.60721875
transcript.pyannote[515].speaker SPEAKER_22
transcript.pyannote[515].start 21867.71909375
transcript.pyannote[515].end 21869.82846875
transcript.pyannote[516].speaker SPEAKER_22
transcript.pyannote[516].start 21871.21221875
transcript.pyannote[516].end 21888.28971875
transcript.pyannote[517].speaker SPEAKER_00
transcript.pyannote[517].start 21881.60721875
transcript.pyannote[517].end 21881.74221875
transcript.pyannote[518].speaker SPEAKER_00
transcript.pyannote[518].start 21882.92346875
transcript.pyannote[518].end 21882.95721875
transcript.pyannote[519].speaker SPEAKER_17
transcript.pyannote[519].start 21882.95721875
transcript.pyannote[519].end 21883.95284375
transcript.pyannote[520].speaker SPEAKER_22
transcript.pyannote[520].start 21888.77909375
transcript.pyannote[520].end 21891.49596875
transcript.pyannote[521].speaker SPEAKER_17
transcript.pyannote[521].start 21891.98534375
transcript.pyannote[521].end 21894.06096875
transcript.pyannote[522].speaker SPEAKER_22
transcript.pyannote[522].start 21892.08659375
transcript.pyannote[522].end 21897.26721875
transcript.pyannote[523].speaker SPEAKER_25
transcript.pyannote[523].start 21894.68534375
transcript.pyannote[523].end 21894.71909375
transcript.pyannote[524].speaker SPEAKER_17
transcript.pyannote[524].start 21894.71909375
transcript.pyannote[524].end 21895.74846875
transcript.pyannote[525].speaker SPEAKER_22
transcript.pyannote[525].start 21897.82409375
transcript.pyannote[525].end 21900.37221875
transcript.pyannote[526].speaker SPEAKER_17
transcript.pyannote[526].start 21899.24159375
transcript.pyannote[526].end 21899.78159375
transcript.pyannote[527].speaker SPEAKER_17
transcript.pyannote[527].start 21900.92909375
transcript.pyannote[527].end 21902.90346875
transcript.pyannote[528].speaker SPEAKER_22
transcript.pyannote[528].start 21901.31721875
transcript.pyannote[528].end 21902.66721875
transcript.pyannote[529].speaker SPEAKER_22
transcript.pyannote[529].start 21902.90346875
transcript.pyannote[529].end 21903.27471875
transcript.pyannote[530].speaker SPEAKER_17
transcript.pyannote[530].start 21903.27471875
transcript.pyannote[530].end 21903.32534375
transcript.pyannote[531].speaker SPEAKER_22
transcript.pyannote[531].start 21903.32534375
transcript.pyannote[531].end 21903.57846875
transcript.pyannote[532].speaker SPEAKER_17
transcript.pyannote[532].start 21903.57846875
transcript.pyannote[532].end 21906.21096875
transcript.pyannote[533].speaker SPEAKER_22
transcript.pyannote[533].start 21903.59534375
transcript.pyannote[533].end 21904.59096875
transcript.pyannote[534].speaker SPEAKER_22
transcript.pyannote[534].start 21904.97909375
transcript.pyannote[534].end 21906.22784375
transcript.pyannote[535].speaker SPEAKER_17
transcript.pyannote[535].start 21906.22784375
transcript.pyannote[535].end 21906.24471875
transcript.pyannote[536].speaker SPEAKER_22
transcript.pyannote[536].start 21906.58221875
transcript.pyannote[536].end 21910.17659375
transcript.pyannote[537].speaker SPEAKER_17
transcript.pyannote[537].start 21910.17659375
transcript.pyannote[537].end 21910.88534375
transcript.pyannote[538].speaker SPEAKER_22
transcript.pyannote[538].start 21910.88534375
transcript.pyannote[538].end 21914.02409375
transcript.pyannote[539].speaker SPEAKER_17
transcript.pyannote[539].start 21910.96971875
transcript.pyannote[539].end 21911.02034375
transcript.pyannote[540].speaker SPEAKER_17
transcript.pyannote[540].start 21911.03721875
transcript.pyannote[540].end 21911.08784375
transcript.pyannote[541].speaker SPEAKER_17
transcript.pyannote[541].start 21912.26909375
transcript.pyannote[541].end 21913.26471875
transcript.pyannote[542].speaker SPEAKER_17
transcript.pyannote[542].start 21914.02409375
transcript.pyannote[542].end 21915.82971875
transcript.pyannote[543].speaker SPEAKER_22
transcript.pyannote[543].start 21914.31096875
transcript.pyannote[543].end 21915.77909375
transcript.pyannote[544].speaker SPEAKER_17
transcript.pyannote[544].start 21916.31909375
transcript.pyannote[544].end 21917.12909375
transcript.pyannote[545].speaker SPEAKER_17
transcript.pyannote[545].start 21917.31471875
transcript.pyannote[545].end 21920.97659375
transcript.pyannote[546].speaker SPEAKER_22
transcript.pyannote[546].start 21917.36534375
transcript.pyannote[546].end 21920.50409375
transcript.pyannote[547].speaker SPEAKER_25
transcript.pyannote[547].start 21923.11971875
transcript.pyannote[547].end 21923.15346875
transcript.pyannote[548].speaker SPEAKER_22
transcript.pyannote[548].start 21923.15346875
transcript.pyannote[548].end 21923.17034375
transcript.pyannote[549].speaker SPEAKER_17
transcript.pyannote[549].start 21923.17034375
transcript.pyannote[549].end 21926.34284375
transcript.pyannote[550].speaker SPEAKER_22
transcript.pyannote[550].start 21923.27159375
transcript.pyannote[550].end 21930.20721875
transcript.pyannote[551].speaker SPEAKER_25
transcript.pyannote[551].start 21929.76846875
transcript.pyannote[551].end 21930.64596875
transcript.pyannote[552].speaker SPEAKER_17
transcript.pyannote[552].start 21930.52784375
transcript.pyannote[552].end 21930.56159375
transcript.pyannote[553].speaker SPEAKER_22
transcript.pyannote[553].start 21930.56159375
transcript.pyannote[553].end 21936.09659375
transcript.pyannote[554].speaker SPEAKER_17
transcript.pyannote[554].start 21930.64596875
transcript.pyannote[554].end 21930.66284375
transcript.pyannote[555].speaker SPEAKER_25
transcript.pyannote[555].start 21930.66284375
transcript.pyannote[555].end 21930.74721875
transcript.pyannote[556].speaker SPEAKER_17
transcript.pyannote[556].start 21930.74721875
transcript.pyannote[556].end 21930.76409375
transcript.pyannote[557].speaker SPEAKER_22
transcript.pyannote[557].start 21936.19784375
transcript.pyannote[557].end 21936.23159375
transcript.pyannote[558].speaker SPEAKER_17
transcript.pyannote[558].start 21936.23159375
transcript.pyannote[558].end 21936.24846875
transcript.pyannote[559].speaker SPEAKER_22
transcript.pyannote[559].start 21936.24846875
transcript.pyannote[559].end 21941.26034375
transcript.pyannote[560].speaker SPEAKER_17
transcript.pyannote[560].start 21936.38346875
transcript.pyannote[560].end 21938.03721875
transcript.pyannote[561].speaker SPEAKER_17
transcript.pyannote[561].start 21938.72909375
transcript.pyannote[561].end 21939.80909375
transcript.pyannote[562].speaker SPEAKER_22
transcript.pyannote[562].start 21942.47534375
transcript.pyannote[562].end 21947.45346875
transcript.pyannote[563].speaker SPEAKER_17
transcript.pyannote[563].start 21947.45346875
transcript.pyannote[563].end 21951.08159375
transcript.pyannote[564].speaker SPEAKER_22
transcript.pyannote[564].start 21947.74034375
transcript.pyannote[564].end 21948.97221875
transcript.pyannote[565].speaker SPEAKER_22
transcript.pyannote[565].start 21949.34346875
transcript.pyannote[565].end 21951.30096875
transcript.pyannote[566].speaker SPEAKER_25
transcript.pyannote[566].start 21951.08159375
transcript.pyannote[566].end 21951.23346875
transcript.pyannote[567].speaker SPEAKER_25
transcript.pyannote[567].start 21951.30096875
transcript.pyannote[567].end 21951.33471875
transcript.pyannote[568].speaker SPEAKER_22
transcript.pyannote[568].start 21952.73534375
transcript.pyannote[568].end 21958.57409375
transcript.pyannote[569].speaker SPEAKER_22
transcript.pyannote[569].start 21959.87346875
transcript.pyannote[569].end 21962.55659375
transcript.pyannote[570].speaker SPEAKER_22
transcript.pyannote[570].start 21963.02909375
transcript.pyannote[570].end 21966.52221875
transcript.pyannote[571].speaker SPEAKER_22
transcript.pyannote[571].start 21966.82596875
transcript.pyannote[571].end 21969.35721875
transcript.pyannote[572].speaker SPEAKER_22
transcript.pyannote[572].start 21970.20096875
transcript.pyannote[572].end 21970.89284375
transcript.pyannote[573].speaker SPEAKER_22
transcript.pyannote[573].start 21971.48346875
transcript.pyannote[573].end 21975.02721875
transcript.pyannote[574].speaker SPEAKER_22
transcript.pyannote[574].start 21975.44909375
transcript.pyannote[574].end 21979.09409375
transcript.pyannote[575].speaker SPEAKER_22
transcript.pyannote[575].start 21979.98846875
transcript.pyannote[575].end 21982.89096875
transcript.pyannote[576].speaker SPEAKER_22
transcript.pyannote[576].start 21983.31284375
transcript.pyannote[576].end 21985.28721875
transcript.pyannote[577].speaker SPEAKER_22
transcript.pyannote[577].start 21985.82721875
transcript.pyannote[577].end 21989.82659375
transcript.pyannote[578].speaker SPEAKER_22
transcript.pyannote[578].start 21990.58596875
transcript.pyannote[578].end 21992.34096875
transcript.pyannote[579].speaker SPEAKER_22
transcript.pyannote[579].start 21992.71221875
transcript.pyannote[579].end 21995.39534375
transcript.pyannote[580].speaker SPEAKER_22
transcript.pyannote[580].start 21995.56409375
transcript.pyannote[580].end 21996.79596875
transcript.pyannote[581].speaker SPEAKER_22
transcript.pyannote[581].start 21997.45409375
transcript.pyannote[581].end 21999.10784375
transcript.pyannote[582].speaker SPEAKER_22
transcript.pyannote[582].start 21999.58034375
transcript.pyannote[582].end 22003.12409375
transcript.pyannote[583].speaker SPEAKER_22
transcript.pyannote[583].start 22004.05221875
transcript.pyannote[583].end 22005.50346875
transcript.pyannote[584].speaker SPEAKER_22
transcript.pyannote[584].start 22005.92534375
transcript.pyannote[584].end 22008.91221875
transcript.pyannote[585].speaker SPEAKER_22
transcript.pyannote[585].start 22009.70534375
transcript.pyannote[585].end 22010.63346875
transcript.pyannote[586].speaker SPEAKER_22
transcript.pyannote[586].start 22010.92034375
transcript.pyannote[586].end 22014.10971875
transcript.pyannote[587].speaker SPEAKER_22
transcript.pyannote[587].start 22014.53159375
transcript.pyannote[587].end 22016.62409375
transcript.pyannote[588].speaker SPEAKER_22
transcript.pyannote[588].start 22017.19784375
transcript.pyannote[588].end 22021.92284375
transcript.pyannote[589].speaker SPEAKER_22
transcript.pyannote[589].start 22022.69909375
transcript.pyannote[589].end 22025.07846875
transcript.pyannote[590].speaker SPEAKER_22
transcript.pyannote[590].start 22025.75346875
transcript.pyannote[590].end 22028.25096875
transcript.pyannote[591].speaker SPEAKER_22
transcript.pyannote[591].start 22028.48721875
transcript.pyannote[591].end 22031.96346875
transcript.pyannote[592].speaker SPEAKER_22
transcript.pyannote[592].start 22032.72284375
transcript.pyannote[592].end 22034.81534375
transcript.pyannote[593].speaker SPEAKER_22
transcript.pyannote[593].start 22035.45659375
transcript.pyannote[593].end 22038.25784375
transcript.pyannote[594].speaker SPEAKER_22
transcript.pyannote[594].start 22038.91596875
transcript.pyannote[594].end 22041.39659375
transcript.pyannote[595].speaker SPEAKER_22
transcript.pyannote[595].start 22041.97034375
transcript.pyannote[595].end 22042.96596875
transcript.pyannote[596].speaker SPEAKER_22
transcript.pyannote[596].start 22043.80971875
transcript.pyannote[596].end 22044.94034375
transcript.pyannote[597].speaker SPEAKER_22
transcript.pyannote[597].start 22045.69971875
transcript.pyannote[597].end 22047.18471875
transcript.pyannote[598].speaker SPEAKER_22
transcript.pyannote[598].start 22048.18034375
transcript.pyannote[598].end 22049.05784375
transcript.pyannote[599].speaker SPEAKER_22
transcript.pyannote[599].start 22049.47971875
transcript.pyannote[599].end 22051.42034375
transcript.pyannote[600].speaker SPEAKER_22
transcript.pyannote[600].start 22052.38221875
transcript.pyannote[600].end 22054.98096875
transcript.pyannote[601].speaker SPEAKER_22
transcript.pyannote[601].start 22055.77409375
transcript.pyannote[601].end 22059.57096875
transcript.pyannote[602].speaker SPEAKER_17
transcript.pyannote[602].start 22060.65096875
transcript.pyannote[602].end 22064.71784375
transcript.pyannote[603].speaker SPEAKER_22
transcript.pyannote[603].start 22062.89534375
transcript.pyannote[603].end 22063.04721875
transcript.pyannote[604].speaker SPEAKER_22
transcript.pyannote[604].start 22065.27471875
transcript.pyannote[604].end 22068.31221875
transcript.pyannote[605].speaker SPEAKER_22
transcript.pyannote[605].start 22069.20659375
transcript.pyannote[605].end 22071.63659375
transcript.pyannote[606].speaker SPEAKER_22
transcript.pyannote[606].start 22072.32846875
transcript.pyannote[606].end 22077.91409375
transcript.pyannote[607].speaker SPEAKER_22
transcript.pyannote[607].start 22078.45409375
transcript.pyannote[607].end 22081.49159375
transcript.pyannote[608].speaker SPEAKER_22
transcript.pyannote[608].start 22081.64346875
transcript.pyannote[608].end 22087.36409375
transcript.pyannote[609].speaker SPEAKER_22
transcript.pyannote[609].start 22087.61721875
transcript.pyannote[609].end 22089.20346875
transcript.pyannote[610].speaker SPEAKER_22
transcript.pyannote[610].start 22089.33846875
transcript.pyannote[610].end 22090.53659375
transcript.pyannote[611].speaker SPEAKER_22
transcript.pyannote[611].start 22091.00909375
transcript.pyannote[611].end 22092.54471875
transcript.pyannote[612].speaker SPEAKER_22
transcript.pyannote[612].start 22092.67971875
transcript.pyannote[612].end 22092.69659375
transcript.pyannote[613].speaker SPEAKER_17
transcript.pyannote[613].start 22092.69659375
transcript.pyannote[613].end 22093.25346875
transcript.pyannote[614].speaker SPEAKER_22
transcript.pyannote[614].start 22093.25346875
transcript.pyannote[614].end 22094.11409375
transcript.pyannote[615].speaker SPEAKER_17
transcript.pyannote[615].start 22094.46846875
transcript.pyannote[615].end 22094.50221875
transcript.pyannote[616].speaker SPEAKER_22
transcript.pyannote[616].start 22094.50221875
transcript.pyannote[616].end 22094.70471875
transcript.pyannote[617].speaker SPEAKER_22
transcript.pyannote[617].start 22094.90721875
transcript.pyannote[617].end 22094.99159375
transcript.pyannote[618].speaker SPEAKER_17
transcript.pyannote[618].start 22094.99159375
transcript.pyannote[618].end 22095.00846875
transcript.pyannote[619].speaker SPEAKER_22
transcript.pyannote[619].start 22095.00846875
transcript.pyannote[619].end 22098.23159375
transcript.pyannote[620].speaker SPEAKER_17
transcript.pyannote[620].start 22095.14346875
transcript.pyannote[620].end 22095.78471875
transcript.pyannote[621].speaker SPEAKER_17
transcript.pyannote[621].start 22095.80159375
transcript.pyannote[621].end 22095.83534375
transcript.pyannote[622].speaker SPEAKER_17
transcript.pyannote[622].start 22095.88596875
transcript.pyannote[622].end 22097.40471875
transcript.pyannote[623].speaker SPEAKER_22
transcript.pyannote[623].start 22098.65346875
transcript.pyannote[623].end 22103.27721875
transcript.pyannote[624].speaker SPEAKER_14
transcript.pyannote[624].start 22103.27721875
transcript.pyannote[624].end 22103.64846875
transcript.pyannote[625].speaker SPEAKER_22
transcript.pyannote[625].start 22103.93534375
transcript.pyannote[625].end 22105.75784375
transcript.pyannote[626].speaker SPEAKER_14
transcript.pyannote[626].start 22105.31909375
transcript.pyannote[626].end 22115.22471875
transcript.pyannote[627].speaker SPEAKER_22
transcript.pyannote[627].start 22115.22471875
transcript.pyannote[627].end 22116.59159375
transcript.pyannote[628].speaker SPEAKER_22
transcript.pyannote[628].start 22117.45221875
transcript.pyannote[628].end 22121.48534375
transcript.pyannote[629].speaker SPEAKER_22
transcript.pyannote[629].start 22122.91971875
transcript.pyannote[629].end 22128.13409375
transcript.pyannote[630].speaker SPEAKER_22
transcript.pyannote[630].start 22128.72471875
transcript.pyannote[630].end 22129.29846875
transcript.pyannote[631].speaker SPEAKER_22
transcript.pyannote[631].start 22130.78346875
transcript.pyannote[631].end 22134.47909375
transcript.pyannote[632].speaker SPEAKER_14
transcript.pyannote[632].start 22135.00221875
transcript.pyannote[632].end 22137.44909375
transcript.pyannote[633].speaker SPEAKER_22
transcript.pyannote[633].start 22137.73596875
transcript.pyannote[633].end 22139.03534375
transcript.pyannote[634].speaker SPEAKER_14
transcript.pyannote[634].start 22138.05659375
transcript.pyannote[634].end 22138.37721875
transcript.pyannote[635].speaker SPEAKER_17
transcript.pyannote[635].start 22138.37721875
transcript.pyannote[635].end 22138.41096875
transcript.pyannote[636].speaker SPEAKER_17
transcript.pyannote[636].start 22138.63034375
transcript.pyannote[636].end 22138.68096875
transcript.pyannote[637].speaker SPEAKER_14
transcript.pyannote[637].start 22138.68096875
transcript.pyannote[637].end 22140.14909375
transcript.pyannote[638].speaker SPEAKER_17
transcript.pyannote[638].start 22139.03534375
transcript.pyannote[638].end 22140.70596875
transcript.pyannote[639].speaker SPEAKER_22
transcript.pyannote[639].start 22140.14909375
transcript.pyannote[639].end 22140.80721875
transcript.pyannote[640].speaker SPEAKER_17
transcript.pyannote[640].start 22141.39784375
transcript.pyannote[640].end 22145.61659375
transcript.pyannote[641].speaker SPEAKER_17
transcript.pyannote[641].start 22145.93721875
transcript.pyannote[641].end 22147.57409375
transcript.pyannote[642].speaker SPEAKER_17
transcript.pyannote[642].start 22147.74284375
transcript.pyannote[642].end 22154.20596875
transcript.pyannote[643].speaker SPEAKER_22
transcript.pyannote[643].start 22151.20221875
transcript.pyannote[643].end 22152.28221875
transcript.pyannote[644].speaker SPEAKER_22
transcript.pyannote[644].start 22154.20596875
transcript.pyannote[644].end 22156.72034375
transcript.pyannote[645].speaker SPEAKER_17
transcript.pyannote[645].start 22154.22284375
transcript.pyannote[645].end 22154.39159375
transcript.pyannote[646].speaker SPEAKER_22
transcript.pyannote[646].start 22156.97346875
transcript.pyannote[646].end 22160.02784375
transcript.pyannote[647].speaker SPEAKER_22
transcript.pyannote[647].start 22161.64784375
transcript.pyannote[647].end 22162.03596875
transcript.pyannote[648].speaker SPEAKER_22
transcript.pyannote[648].start 22162.23846875
transcript.pyannote[648].end 22165.95096875
transcript.pyannote[649].speaker SPEAKER_17
transcript.pyannote[649].start 22166.27159375
transcript.pyannote[649].end 22168.27971875
transcript.pyannote[650].speaker SPEAKER_22
transcript.pyannote[650].start 22168.27971875
transcript.pyannote[650].end 22168.98846875
transcript.pyannote[651].speaker SPEAKER_17
transcript.pyannote[651].start 22170.43971875
transcript.pyannote[651].end 22170.49034375
transcript.pyannote[652].speaker SPEAKER_22
transcript.pyannote[652].start 22170.49034375
transcript.pyannote[652].end 22173.17346875
transcript.pyannote[653].speaker SPEAKER_17
transcript.pyannote[653].start 22170.54096875
transcript.pyannote[653].end 22181.96534375
transcript.pyannote[654].speaker SPEAKER_22
transcript.pyannote[654].start 22175.56971875
transcript.pyannote[654].end 22178.28659375
transcript.pyannote[655].speaker SPEAKER_22
transcript.pyannote[655].start 22180.04159375
transcript.pyannote[655].end 22180.54784375
transcript.pyannote[656].speaker SPEAKER_22
transcript.pyannote[656].start 22181.96534375
transcript.pyannote[656].end 22183.16346875
transcript.pyannote[657].speaker SPEAKER_17
transcript.pyannote[657].start 22182.01596875
transcript.pyannote[657].end 22185.42471875
transcript.pyannote[658].speaker SPEAKER_22
transcript.pyannote[658].start 22183.34909375
transcript.pyannote[658].end 22183.39971875
transcript.pyannote[659].speaker SPEAKER_22
transcript.pyannote[659].start 22183.43346875
transcript.pyannote[659].end 22185.69471875
transcript.pyannote[660].speaker SPEAKER_22
transcript.pyannote[660].start 22185.84659375
transcript.pyannote[660].end 22197.60846875
transcript.pyannote[661].speaker SPEAKER_17
transcript.pyannote[661].start 22189.27221875
transcript.pyannote[661].end 22190.53784375
transcript.pyannote[662].speaker SPEAKER_17
transcript.pyannote[662].start 22191.31409375
transcript.pyannote[662].end 22194.62159375
transcript.pyannote[663].speaker SPEAKER_22
transcript.pyannote[663].start 22197.94596875
transcript.pyannote[663].end 22205.86034375
transcript.pyannote[664].speaker SPEAKER_22
transcript.pyannote[664].start 22205.89409375
transcript.pyannote[664].end 22208.00346875
transcript.pyannote[665].speaker SPEAKER_22
transcript.pyannote[665].start 22208.50971875
transcript.pyannote[665].end 22209.31971875
transcript.pyannote[666].speaker SPEAKER_17
transcript.pyannote[666].start 22210.14659375
transcript.pyannote[666].end 22211.81721875
transcript.pyannote[667].speaker SPEAKER_22
transcript.pyannote[667].start 22212.00284375
transcript.pyannote[667].end 22214.75346875
transcript.pyannote[668].speaker SPEAKER_22
transcript.pyannote[668].start 22215.41159375
transcript.pyannote[668].end 22217.94284375
transcript.pyannote[669].speaker SPEAKER_22
transcript.pyannote[669].start 22218.73596875
transcript.pyannote[669].end 22220.71034375
transcript.pyannote[670].speaker SPEAKER_22
transcript.pyannote[670].start 22221.25034375
transcript.pyannote[670].end 22227.03846875
transcript.pyannote[671].speaker SPEAKER_17
transcript.pyannote[671].start 22227.03846875
transcript.pyannote[671].end 22242.25971875
transcript.pyannote[672].speaker SPEAKER_22
transcript.pyannote[672].start 22234.58159375
transcript.pyannote[672].end 22240.09971875
transcript.pyannote[673].speaker SPEAKER_22
transcript.pyannote[673].start 22241.21346875
transcript.pyannote[673].end 22253.65034375
transcript.pyannote[674].speaker SPEAKER_25
transcript.pyannote[674].start 22249.29659375
transcript.pyannote[674].end 22249.31346875
transcript.pyannote[675].speaker SPEAKER_21
transcript.pyannote[675].start 22249.31346875
transcript.pyannote[675].end 22250.96721875
transcript.pyannote[676].speaker SPEAKER_24
transcript.pyannote[676].start 22250.96721875
transcript.pyannote[676].end 22251.03471875
transcript.pyannote[677].speaker SPEAKER_23
transcript.pyannote[677].start 22251.03471875
transcript.pyannote[677].end 22251.69284375
transcript.pyannote[678].speaker SPEAKER_22
transcript.pyannote[678].start 22253.97096875
transcript.pyannote[678].end 22264.63596875
transcript.pyannote[679].speaker SPEAKER_23
transcript.pyannote[679].start 22254.03846875
transcript.pyannote[679].end 22254.07221875
transcript.pyannote[680].speaker SPEAKER_17
transcript.pyannote[680].start 22254.07221875
transcript.pyannote[680].end 22256.60346875
transcript.pyannote[681].speaker SPEAKER_25
transcript.pyannote[681].start 22256.60346875
transcript.pyannote[681].end 22256.62034375
transcript.pyannote[682].speaker SPEAKER_22
transcript.pyannote[682].start 22265.17596875
transcript.pyannote[682].end 22266.10409375
transcript.pyannote[683].speaker SPEAKER_22
transcript.pyannote[683].start 22266.39096875
transcript.pyannote[683].end 22268.80409375
transcript.pyannote[684].speaker SPEAKER_22
transcript.pyannote[684].start 22269.73221875
transcript.pyannote[684].end 22270.91346875
transcript.pyannote[685].speaker SPEAKER_22
transcript.pyannote[685].start 22271.25096875
transcript.pyannote[685].end 22272.56721875
transcript.pyannote[686].speaker SPEAKER_22
transcript.pyannote[686].start 22273.00596875
transcript.pyannote[686].end 22278.92909375
transcript.pyannote[687].speaker SPEAKER_22
transcript.pyannote[687].start 22279.75596875
transcript.pyannote[687].end 22282.50659375
transcript.pyannote[688].speaker SPEAKER_22
transcript.pyannote[688].start 22283.28284375
transcript.pyannote[688].end 22283.87346875
transcript.pyannote[689].speaker SPEAKER_22
transcript.pyannote[689].start 22284.86909375
transcript.pyannote[689].end 22285.44284375
transcript.pyannote[690].speaker SPEAKER_17
transcript.pyannote[690].start 22285.00409375
transcript.pyannote[690].end 22285.30784375
transcript.pyannote[691].speaker SPEAKER_17
transcript.pyannote[691].start 22285.64534375
transcript.pyannote[691].end 22289.45909375
transcript.pyannote[692].speaker SPEAKER_17
transcript.pyannote[692].start 22289.74596875
transcript.pyannote[692].end 22291.83846875
transcript.pyannote[693].speaker SPEAKER_17
transcript.pyannote[693].start 22291.85534375
transcript.pyannote[693].end 22292.95221875
transcript.pyannote[694].speaker SPEAKER_17
transcript.pyannote[694].start 22293.08721875
transcript.pyannote[694].end 22294.43721875
transcript.pyannote[695].speaker SPEAKER_17
transcript.pyannote[695].start 22294.69034375
transcript.pyannote[695].end 22297.33971875
transcript.pyannote[696].speaker SPEAKER_22
transcript.pyannote[696].start 22296.34409375
transcript.pyannote[696].end 22296.86721875
transcript.pyannote[697].speaker SPEAKER_22
transcript.pyannote[697].start 22298.41971875
transcript.pyannote[697].end 22298.57159375
transcript.pyannote[698].speaker SPEAKER_17
transcript.pyannote[698].start 22298.57159375
transcript.pyannote[698].end 22298.85846875
transcript.pyannote[699].speaker SPEAKER_22
transcript.pyannote[699].start 22298.85846875
transcript.pyannote[699].end 22299.51659375
transcript.pyannote[700].speaker SPEAKER_17
transcript.pyannote[700].start 22299.51659375
transcript.pyannote[700].end 22299.65159375
transcript.pyannote[701].speaker SPEAKER_22
transcript.pyannote[701].start 22299.65159375
transcript.pyannote[701].end 22299.70221875
transcript.pyannote[702].speaker SPEAKER_17
transcript.pyannote[702].start 22299.70221875
transcript.pyannote[702].end 22299.78659375
transcript.pyannote[703].speaker SPEAKER_22
transcript.pyannote[703].start 22299.78659375
transcript.pyannote[703].end 22299.83721875
transcript.pyannote[704].speaker SPEAKER_17
transcript.pyannote[704].start 22299.83721875
transcript.pyannote[704].end 22299.92159375
transcript.pyannote[705].speaker SPEAKER_22
transcript.pyannote[705].start 22299.92159375
transcript.pyannote[705].end 22300.02284375
transcript.pyannote[706].speaker SPEAKER_17
transcript.pyannote[706].start 22300.02284375
transcript.pyannote[706].end 22303.53284375
transcript.pyannote[707].speaker SPEAKER_17
transcript.pyannote[707].start 22304.34284375
transcript.pyannote[707].end 22305.10221875
transcript.pyannote[708].speaker SPEAKER_25
transcript.pyannote[708].start 22304.44409375
transcript.pyannote[708].end 22305.52409375
transcript.pyannote[709].speaker SPEAKER_17
transcript.pyannote[709].start 22305.62534375
transcript.pyannote[709].end 22307.85284375
transcript.pyannote[710].speaker SPEAKER_22
transcript.pyannote[710].start 22307.85284375
transcript.pyannote[710].end 22307.93721875
transcript.pyannote[711].speaker SPEAKER_22
transcript.pyannote[711].start 22308.61221875
transcript.pyannote[711].end 22322.34846875
transcript.pyannote[712].speaker SPEAKER_17
transcript.pyannote[712].start 22316.86409375
transcript.pyannote[712].end 22317.57284375
transcript.pyannote[713].speaker SPEAKER_17
transcript.pyannote[713].start 22318.68659375
transcript.pyannote[713].end 22319.42909375
transcript.pyannote[714].speaker SPEAKER_22
transcript.pyannote[714].start 22322.58471875
transcript.pyannote[714].end 22327.78221875
transcript.pyannote[715].speaker SPEAKER_22
transcript.pyannote[715].start 22328.86221875
transcript.pyannote[715].end 22334.59971875
transcript.pyannote[716].speaker SPEAKER_14
transcript.pyannote[716].start 22332.72659375
transcript.pyannote[716].end 22333.04721875
transcript.pyannote[717].speaker SPEAKER_14
transcript.pyannote[717].start 22335.10596875
transcript.pyannote[717].end 22342.26096875
transcript.pyannote[718].speaker SPEAKER_22
transcript.pyannote[718].start 22335.13971875
transcript.pyannote[718].end 22336.25346875
transcript.pyannote[719].speaker SPEAKER_22
transcript.pyannote[719].start 22338.46409375
transcript.pyannote[719].end 22341.06284375
transcript.pyannote[720].speaker SPEAKER_22
transcript.pyannote[720].start 22342.26096875
transcript.pyannote[720].end 22342.81784375
transcript.pyannote[721].speaker SPEAKER_14
transcript.pyannote[721].start 22342.31159375
transcript.pyannote[721].end 22342.61534375
transcript.pyannote[722].speaker SPEAKER_14
transcript.pyannote[722].start 22342.81784375
transcript.pyannote[722].end 22342.83471875
transcript.pyannote[723].speaker SPEAKER_22
transcript.pyannote[723].start 22342.83471875
transcript.pyannote[723].end 22342.88534375
transcript.pyannote[724].speaker SPEAKER_14
transcript.pyannote[724].start 22343.34096875
transcript.pyannote[724].end 22343.35784375
transcript.pyannote[725].speaker SPEAKER_22
transcript.pyannote[725].start 22343.35784375
transcript.pyannote[725].end 22345.56846875
transcript.pyannote[726].speaker SPEAKER_22
transcript.pyannote[726].start 22345.95659375
transcript.pyannote[726].end 22347.15471875
transcript.pyannote[727].speaker SPEAKER_22
transcript.pyannote[727].start 22347.74534375
transcript.pyannote[727].end 22350.93471875
transcript.pyannote[728].speaker SPEAKER_22
transcript.pyannote[728].start 22351.64346875
transcript.pyannote[728].end 22352.06534375
transcript.pyannote[729].speaker SPEAKER_17
transcript.pyannote[729].start 22352.60534375
transcript.pyannote[729].end 22356.36846875
transcript.pyannote[730].speaker SPEAKER_17
transcript.pyannote[730].start 22356.62159375
transcript.pyannote[730].end 22358.17409375
transcript.pyannote[731].speaker SPEAKER_22
transcript.pyannote[731].start 22357.81971875
transcript.pyannote[731].end 22358.19096875
transcript.pyannote[732].speaker SPEAKER_17
transcript.pyannote[732].start 22358.19096875
transcript.pyannote[732].end 22358.22471875
transcript.pyannote[733].speaker SPEAKER_22
transcript.pyannote[733].start 22358.22471875
transcript.pyannote[733].end 22358.34284375
transcript.pyannote[734].speaker SPEAKER_17
transcript.pyannote[734].start 22358.34284375
transcript.pyannote[734].end 22358.35971875
transcript.pyannote[735].speaker SPEAKER_22
transcript.pyannote[735].start 22358.35971875
transcript.pyannote[735].end 22359.03471875
transcript.pyannote[736].speaker SPEAKER_17
transcript.pyannote[736].start 22359.03471875
transcript.pyannote[736].end 22359.13596875
transcript.pyannote[737].speaker SPEAKER_22
transcript.pyannote[737].start 22359.13596875
transcript.pyannote[737].end 22359.15284375
transcript.pyannote[738].speaker SPEAKER_17
transcript.pyannote[738].start 22359.15284375
transcript.pyannote[738].end 22359.18659375
transcript.pyannote[739].speaker SPEAKER_22
transcript.pyannote[739].start 22359.18659375
transcript.pyannote[739].end 22359.25409375
transcript.pyannote[740].speaker SPEAKER_17
transcript.pyannote[740].start 22359.25409375
transcript.pyannote[740].end 22359.45659375
transcript.pyannote[741].speaker SPEAKER_22
transcript.pyannote[741].start 22359.45659375
transcript.pyannote[741].end 22361.63346875
transcript.pyannote[742].speaker SPEAKER_22
transcript.pyannote[742].start 22362.42659375
transcript.pyannote[742].end 22364.67096875
transcript.pyannote[743].speaker SPEAKER_17
transcript.pyannote[743].start 22362.52784375
transcript.pyannote[743].end 22367.84346875
transcript.pyannote[744].speaker SPEAKER_22
transcript.pyannote[744].start 22366.08846875
transcript.pyannote[744].end 22382.67659375
transcript.pyannote[745].speaker SPEAKER_17
transcript.pyannote[745].start 22369.17659375
transcript.pyannote[745].end 22370.08784375
transcript.pyannote[746].speaker SPEAKER_25
transcript.pyannote[746].start 22372.99034375
transcript.pyannote[746].end 22373.47971875
transcript.pyannote[747].speaker SPEAKER_25
transcript.pyannote[747].start 22375.77471875
transcript.pyannote[747].end 22378.30596875
transcript.pyannote[748].speaker SPEAKER_22
transcript.pyannote[748].start 22383.46971875
transcript.pyannote[748].end 22384.29659375
transcript.pyannote[749].speaker SPEAKER_22
transcript.pyannote[749].start 22384.58346875
transcript.pyannote[749].end 22393.12221875
transcript.pyannote[750].speaker SPEAKER_22
transcript.pyannote[750].start 22393.59471875
transcript.pyannote[750].end 22396.80096875
transcript.pyannote[751].speaker SPEAKER_22
transcript.pyannote[751].start 22397.52659375
transcript.pyannote[751].end 22398.89346875
transcript.pyannote[752].speaker SPEAKER_22
transcript.pyannote[752].start 22400.78346875
transcript.pyannote[752].end 22402.74096875
transcript.pyannote[753].speaker SPEAKER_17
transcript.pyannote[753].start 22403.97284375
transcript.pyannote[753].end 22407.41534375
transcript.pyannote[754].speaker SPEAKER_22
transcript.pyannote[754].start 22404.04034375
transcript.pyannote[754].end 22406.26784375
transcript.pyannote[755].speaker SPEAKER_22
transcript.pyannote[755].start 22407.41534375
transcript.pyannote[755].end 22408.79909375
transcript.pyannote[756].speaker SPEAKER_17
transcript.pyannote[756].start 22408.44471875
transcript.pyannote[756].end 22411.60034375
transcript.pyannote[757].speaker SPEAKER_22
transcript.pyannote[757].start 22410.14909375
transcript.pyannote[757].end 22415.21159375
transcript.pyannote[758].speaker SPEAKER_17
transcript.pyannote[758].start 22411.93784375
transcript.pyannote[758].end 22413.10221875
transcript.pyannote[759].speaker SPEAKER_22
transcript.pyannote[759].start 22415.73471875
transcript.pyannote[759].end 22417.42221875
transcript.pyannote[760].speaker SPEAKER_22
transcript.pyannote[760].start 22418.11409375
transcript.pyannote[760].end 22421.35409375
transcript.pyannote[761].speaker SPEAKER_17
transcript.pyannote[761].start 22419.21096875
transcript.pyannote[761].end 22419.90284375
transcript.pyannote[762].speaker SPEAKER_17
transcript.pyannote[762].start 22421.35409375
transcript.pyannote[762].end 22423.59846875
transcript.pyannote[763].speaker SPEAKER_22
transcript.pyannote[763].start 22423.59846875
transcript.pyannote[763].end 22423.61534375
transcript.pyannote[764].speaker SPEAKER_17
transcript.pyannote[764].start 22423.61534375
transcript.pyannote[764].end 22425.65721875
transcript.pyannote[765].speaker SPEAKER_22
transcript.pyannote[765].start 22423.63221875
transcript.pyannote[765].end 22429.45409375
transcript.pyannote[766].speaker SPEAKER_17
transcript.pyannote[766].start 22428.03659375
transcript.pyannote[766].end 22431.44534375
transcript.pyannote[767].speaker SPEAKER_22
transcript.pyannote[767].start 22430.51721875
transcript.pyannote[767].end 22431.52971875
transcript.pyannote[768].speaker SPEAKER_17
transcript.pyannote[768].start 22431.52971875
transcript.pyannote[768].end 22435.25909375
transcript.pyannote[769].speaker SPEAKER_22
transcript.pyannote[769].start 22433.72346875
transcript.pyannote[769].end 22437.03096875
transcript.pyannote[770].speaker SPEAKER_17
transcript.pyannote[770].start 22436.00159375
transcript.pyannote[770].end 22439.98409375
transcript.pyannote[771].speaker SPEAKER_22
transcript.pyannote[771].start 22438.16159375
transcript.pyannote[771].end 22441.21596875
transcript.pyannote[772].speaker SPEAKER_17
transcript.pyannote[772].start 22441.21596875
transcript.pyannote[772].end 22444.69221875
transcript.pyannote[773].speaker SPEAKER_22
transcript.pyannote[773].start 22441.92471875
transcript.pyannote[773].end 22443.29159375
transcript.pyannote[774].speaker SPEAKER_22
transcript.pyannote[774].start 22444.05096875
transcript.pyannote[774].end 22444.27034375
transcript.pyannote[775].speaker SPEAKER_17
transcript.pyannote[775].start 22444.96221875
transcript.pyannote[775].end 22448.97846875
transcript.pyannote[776].speaker SPEAKER_22
transcript.pyannote[776].start 22448.97846875
transcript.pyannote[776].end 22449.56909375
transcript.pyannote[777].speaker SPEAKER_17
transcript.pyannote[777].start 22449.92346875
transcript.pyannote[777].end 22451.83034375
transcript.pyannote[778].speaker SPEAKER_22
transcript.pyannote[778].start 22450.05846875
transcript.pyannote[778].end 22458.49596875
transcript.pyannote[779].speaker SPEAKER_22
transcript.pyannote[779].start 22459.06971875
transcript.pyannote[779].end 22461.38159375
transcript.pyannote[780].speaker SPEAKER_22
transcript.pyannote[780].start 22461.49971875
transcript.pyannote[780].end 22469.24534375
transcript.pyannote[781].speaker SPEAKER_17
transcript.pyannote[781].start 22461.95534375
transcript.pyannote[781].end 22463.79471875
transcript.pyannote[782].speaker SPEAKER_17
transcript.pyannote[782].start 22464.41909375
transcript.pyannote[782].end 22464.94221875
transcript.pyannote[783].speaker SPEAKER_22
transcript.pyannote[783].start 22469.90346875
transcript.pyannote[783].end 22472.19846875
transcript.pyannote[784].speaker SPEAKER_17
transcript.pyannote[784].start 22471.45596875
transcript.pyannote[784].end 22472.11409375
transcript.pyannote[785].speaker SPEAKER_17
transcript.pyannote[785].start 22472.19846875
transcript.pyannote[785].end 22472.92409375
transcript.pyannote[786].speaker SPEAKER_22
transcript.pyannote[786].start 22472.92409375
transcript.pyannote[786].end 22481.61471875
transcript.pyannote[787].speaker SPEAKER_17
transcript.pyannote[787].start 22473.02534375
transcript.pyannote[787].end 22473.41346875
transcript.pyannote[788].speaker SPEAKER_17
transcript.pyannote[788].start 22475.32034375
transcript.pyannote[788].end 22475.75909375
transcript.pyannote[789].speaker SPEAKER_17
transcript.pyannote[789].start 22476.02909375
transcript.pyannote[789].end 22477.96971875
transcript.pyannote[790].speaker SPEAKER_17
transcript.pyannote[790].start 22478.20596875
transcript.pyannote[790].end 22481.58096875
transcript.pyannote[791].speaker SPEAKER_22
transcript.pyannote[791].start 22482.27284375
transcript.pyannote[791].end 22488.26346875
transcript.pyannote[792].speaker SPEAKER_17
transcript.pyannote[792].start 22486.06971875
transcript.pyannote[792].end 22487.30159375
transcript.pyannote[793].speaker SPEAKER_22
transcript.pyannote[793].start 22488.92159375
transcript.pyannote[793].end 22490.67659375
transcript.pyannote[794].speaker SPEAKER_22
transcript.pyannote[794].start 22491.23346875
transcript.pyannote[794].end 22492.17846875
transcript.pyannote[795].speaker SPEAKER_22
transcript.pyannote[795].start 22492.70159375
transcript.pyannote[795].end 22494.43971875
transcript.pyannote[796].speaker SPEAKER_22
transcript.pyannote[796].start 22494.84471875
transcript.pyannote[796].end 22498.54034375
transcript.pyannote[797].speaker SPEAKER_22
transcript.pyannote[797].start 22498.91159375
transcript.pyannote[797].end 22502.65784375
transcript.pyannote[798].speaker SPEAKER_17
transcript.pyannote[798].start 22503.80534375
transcript.pyannote[798].end 22505.47596875
transcript.pyannote[799].speaker SPEAKER_22
transcript.pyannote[799].start 22504.58159375
transcript.pyannote[799].end 22510.69034375
transcript.pyannote[800].speaker SPEAKER_17
transcript.pyannote[800].start 22505.57721875
transcript.pyannote[800].end 22506.97784375
transcript.pyannote[801].speaker SPEAKER_22
transcript.pyannote[801].start 22511.80409375
transcript.pyannote[801].end 22513.89659375
transcript.pyannote[802].speaker SPEAKER_22
transcript.pyannote[802].start 22514.55471875
transcript.pyannote[802].end 22516.29284375
transcript.pyannote[803].speaker SPEAKER_22
transcript.pyannote[803].start 22516.90034375
transcript.pyannote[803].end 22518.21659375
transcript.pyannote[804].speaker SPEAKER_22
transcript.pyannote[804].start 22518.72284375
transcript.pyannote[804].end 22519.90409375
transcript.pyannote[805].speaker SPEAKER_22
transcript.pyannote[805].start 22520.54534375
transcript.pyannote[805].end 22523.19471875
transcript.pyannote[806].speaker SPEAKER_22
transcript.pyannote[806].start 22523.56596875
transcript.pyannote[806].end 22525.25346875
transcript.pyannote[807].speaker SPEAKER_22
transcript.pyannote[807].start 22525.43909375
transcript.pyannote[807].end 22527.91971875
transcript.pyannote[808].speaker SPEAKER_22
transcript.pyannote[808].start 22529.13471875
transcript.pyannote[808].end 22532.05409375
transcript.pyannote[809].speaker SPEAKER_22
transcript.pyannote[809].start 22532.88096875
transcript.pyannote[809].end 22533.79221875
transcript.pyannote[810].speaker SPEAKER_22
transcript.pyannote[810].start 22534.26471875
transcript.pyannote[810].end 22540.25534375
transcript.pyannote[811].speaker SPEAKER_22
transcript.pyannote[811].start 22540.50846875
transcript.pyannote[811].end 22546.31346875
transcript.pyannote[812].speaker SPEAKER_17
transcript.pyannote[812].start 22542.11159375
transcript.pyannote[812].end 22543.00596875
transcript.pyannote[813].speaker SPEAKER_17
transcript.pyannote[813].start 22543.25909375
transcript.pyannote[813].end 22543.96784375
transcript.pyannote[814].speaker SPEAKER_02
transcript.pyannote[814].start 22543.96784375
transcript.pyannote[814].end 22544.76096875
transcript.pyannote[815].speaker SPEAKER_17
transcript.pyannote[815].start 22544.76096875
transcript.pyannote[815].end 22545.03096875
transcript.pyannote[816].speaker SPEAKER_22
transcript.pyannote[816].start 22546.46534375
transcript.pyannote[816].end 22546.95471875
transcript.pyannote[817].speaker SPEAKER_02
transcript.pyannote[817].start 22551.79784375
transcript.pyannote[817].end 22551.81471875
transcript.pyannote[818].speaker SPEAKER_03
transcript.pyannote[818].start 22551.81471875
transcript.pyannote[818].end 22554.07596875
transcript.pyannote[819].speaker SPEAKER_03
transcript.pyannote[819].start 22555.56096875
transcript.pyannote[819].end 22556.86034375
transcript.pyannote[820].speaker SPEAKER_03
transcript.pyannote[820].start 22556.97846875
transcript.pyannote[820].end 22559.74596875
transcript.pyannote[821].speaker SPEAKER_18
transcript.pyannote[821].start 22569.26346875
transcript.pyannote[821].end 22569.60096875
transcript.pyannote[822].speaker SPEAKER_18
transcript.pyannote[822].start 22570.86659375
transcript.pyannote[822].end 22572.43596875
transcript.pyannote[823].speaker SPEAKER_18
transcript.pyannote[823].start 22572.95909375
transcript.pyannote[823].end 22574.73096875
transcript.pyannote[824].speaker SPEAKER_03
transcript.pyannote[824].start 22574.47784375
transcript.pyannote[824].end 22576.43534375
transcript.pyannote[825].speaker SPEAKER_18
transcript.pyannote[825].start 22582.91534375
transcript.pyannote[825].end 22584.26534375
transcript.pyannote[826].speaker SPEAKER_18
transcript.pyannote[826].start 22584.73784375
transcript.pyannote[826].end 22589.74971875
transcript.pyannote[827].speaker SPEAKER_18
transcript.pyannote[827].start 22589.78346875
transcript.pyannote[827].end 22593.90096875
transcript.pyannote[828].speaker SPEAKER_18
transcript.pyannote[828].start 22594.32284375
transcript.pyannote[828].end 22596.51659375
transcript.pyannote[829].speaker SPEAKER_18
transcript.pyannote[829].start 22596.63471875
transcript.pyannote[829].end 22597.24221875
transcript.pyannote[830].speaker SPEAKER_18
transcript.pyannote[830].start 22597.56284375
transcript.pyannote[830].end 22600.07721875
transcript.pyannote[831].speaker SPEAKER_18
transcript.pyannote[831].start 22601.03909375
transcript.pyannote[831].end 22601.05596875
transcript.pyannote[832].speaker SPEAKER_17
transcript.pyannote[832].start 22601.05596875
transcript.pyannote[832].end 22605.47721875
transcript.pyannote[833].speaker SPEAKER_17
transcript.pyannote[833].start 22606.13534375
transcript.pyannote[833].end 22610.16846875
transcript.pyannote[834].speaker SPEAKER_17
transcript.pyannote[834].start 22610.50596875
transcript.pyannote[834].end 22614.96096875
transcript.pyannote[835].speaker SPEAKER_17
transcript.pyannote[835].start 22615.23096875
transcript.pyannote[835].end 22626.73971875
transcript.pyannote[836].speaker SPEAKER_18
transcript.pyannote[836].start 22619.16284375
transcript.pyannote[836].end 22620.69846875
transcript.pyannote[837].speaker SPEAKER_18
transcript.pyannote[837].start 22625.40659375
transcript.pyannote[837].end 22626.19971875
transcript.pyannote[838].speaker SPEAKER_18
transcript.pyannote[838].start 22626.82409375
transcript.pyannote[838].end 22629.08534375
transcript.pyannote[839].speaker SPEAKER_18
transcript.pyannote[839].start 22629.30471875
transcript.pyannote[839].end 22630.85721875
transcript.pyannote[840].speaker SPEAKER_18
transcript.pyannote[840].start 22631.16096875
transcript.pyannote[840].end 22633.45596875
transcript.pyannote[841].speaker SPEAKER_18
transcript.pyannote[841].start 22634.02971875
transcript.pyannote[841].end 22637.05034375
transcript.pyannote[842].speaker SPEAKER_18
transcript.pyannote[842].start 22637.69159375
transcript.pyannote[842].end 22638.07971875
transcript.pyannote[843].speaker SPEAKER_18
transcript.pyannote[843].start 22638.34971875
transcript.pyannote[843].end 22639.76721875
transcript.pyannote[844].speaker SPEAKER_18
transcript.pyannote[844].start 22640.72909375
transcript.pyannote[844].end 22643.61471875
transcript.pyannote[845].speaker SPEAKER_18
transcript.pyannote[845].start 22643.83409375
transcript.pyannote[845].end 22653.43596875
transcript.pyannote[846].speaker SPEAKER_18
transcript.pyannote[846].start 22654.14471875
transcript.pyannote[846].end 22661.02971875
transcript.pyannote[847].speaker SPEAKER_18
transcript.pyannote[847].start 22661.53596875
transcript.pyannote[847].end 22666.44659375
transcript.pyannote[848].speaker SPEAKER_18
transcript.pyannote[848].start 22666.76721875
transcript.pyannote[848].end 22669.41659375
transcript.pyannote[849].speaker SPEAKER_18
transcript.pyannote[849].start 22669.97346875
transcript.pyannote[849].end 22670.32784375
transcript.pyannote[850].speaker SPEAKER_18
transcript.pyannote[850].start 22670.80034375
transcript.pyannote[850].end 22673.36534375
transcript.pyannote[851].speaker SPEAKER_18
transcript.pyannote[851].start 22673.55096875
transcript.pyannote[851].end 22674.22596875
transcript.pyannote[852].speaker SPEAKER_18
transcript.pyannote[852].start 22674.69846875
transcript.pyannote[852].end 22677.98909375
transcript.pyannote[853].speaker SPEAKER_18
transcript.pyannote[853].start 22678.30971875
transcript.pyannote[853].end 22681.56659375
transcript.pyannote[854].speaker SPEAKER_18
transcript.pyannote[854].start 22681.92096875
transcript.pyannote[854].end 22682.59596875
transcript.pyannote[855].speaker SPEAKER_18
transcript.pyannote[855].start 22682.91659375
transcript.pyannote[855].end 22686.93284375
transcript.pyannote[856].speaker SPEAKER_18
transcript.pyannote[856].start 22687.48971875
transcript.pyannote[856].end 22689.34596875
transcript.pyannote[857].speaker SPEAKER_18
transcript.pyannote[857].start 22689.73409375
transcript.pyannote[857].end 22692.67034375
transcript.pyannote[858].speaker SPEAKER_17
transcript.pyannote[858].start 22693.46346875
transcript.pyannote[858].end 22698.13784375
transcript.pyannote[859].speaker SPEAKER_17
transcript.pyannote[859].start 22698.71159375
transcript.pyannote[859].end 22699.04909375
transcript.pyannote[860].speaker SPEAKER_17
transcript.pyannote[860].start 22699.13346875
transcript.pyannote[860].end 22710.67596875
transcript.pyannote[861].speaker SPEAKER_25
transcript.pyannote[861].start 22700.29784375
transcript.pyannote[861].end 22702.20471875
transcript.pyannote[862].speaker SPEAKER_17
transcript.pyannote[862].start 22711.43534375
transcript.pyannote[862].end 22714.03409375
transcript.pyannote[863].speaker SPEAKER_17
transcript.pyannote[863].start 22714.23659375
transcript.pyannote[863].end 22719.72096875
transcript.pyannote[864].speaker SPEAKER_17
transcript.pyannote[864].start 22719.97409375
transcript.pyannote[864].end 22721.42534375
transcript.pyannote[865].speaker SPEAKER_17
transcript.pyannote[865].start 22721.59409375
transcript.pyannote[865].end 22721.99909375
transcript.pyannote[866].speaker SPEAKER_18
transcript.pyannote[866].start 22721.99909375
transcript.pyannote[866].end 22722.31971875
transcript.pyannote[867].speaker SPEAKER_18
transcript.pyannote[867].start 22722.87659375
transcript.pyannote[867].end 22727.24721875
transcript.pyannote[868].speaker SPEAKER_18
transcript.pyannote[868].start 22727.61846875
transcript.pyannote[868].end 22728.10784375
transcript.pyannote[869].speaker SPEAKER_18
transcript.pyannote[869].start 22728.95159375
transcript.pyannote[869].end 22736.37659375
transcript.pyannote[870].speaker SPEAKER_18
transcript.pyannote[870].start 22736.62971875
transcript.pyannote[870].end 22739.61659375
transcript.pyannote[871].speaker SPEAKER_18
transcript.pyannote[871].start 22740.05534375
transcript.pyannote[871].end 22747.75034375
transcript.pyannote[872].speaker SPEAKER_18
transcript.pyannote[872].start 22748.18909375
transcript.pyannote[872].end 22748.98221875
transcript.pyannote[873].speaker SPEAKER_18
transcript.pyannote[873].start 22749.31971875
transcript.pyannote[873].end 22751.36159375
transcript.pyannote[874].speaker SPEAKER_18
transcript.pyannote[874].start 22751.51346875
transcript.pyannote[874].end 22754.07846875
transcript.pyannote[875].speaker SPEAKER_18
transcript.pyannote[875].start 22754.33159375
transcript.pyannote[875].end 22754.90534375
transcript.pyannote[876].speaker SPEAKER_18
transcript.pyannote[876].start 22755.34409375
transcript.pyannote[876].end 22759.57971875
transcript.pyannote[877].speaker SPEAKER_18
transcript.pyannote[877].start 22759.69784375
transcript.pyannote[877].end 22760.67659375
transcript.pyannote[878].speaker SPEAKER_18
transcript.pyannote[878].start 22760.92971875
transcript.pyannote[878].end 22764.50721875
transcript.pyannote[879].speaker SPEAKER_18
transcript.pyannote[879].start 22764.87846875
transcript.pyannote[879].end 22766.04284375
transcript.pyannote[880].speaker SPEAKER_18
transcript.pyannote[880].start 22766.39721875
transcript.pyannote[880].end 22777.85534375
transcript.pyannote[881].speaker SPEAKER_18
transcript.pyannote[881].start 22778.14221875
transcript.pyannote[881].end 22787.22096875
transcript.pyannote[882].speaker SPEAKER_18
transcript.pyannote[882].start 22788.03096875
transcript.pyannote[882].end 22789.24596875
transcript.pyannote[883].speaker SPEAKER_18
transcript.pyannote[883].start 22789.49909375
transcript.pyannote[883].end 22791.13596875
transcript.pyannote[884].speaker SPEAKER_18
transcript.pyannote[884].start 22791.49034375
transcript.pyannote[884].end 22794.79784375
transcript.pyannote[885].speaker SPEAKER_18
transcript.pyannote[885].start 22794.98346875
transcript.pyannote[885].end 22795.59096875
transcript.pyannote[886].speaker SPEAKER_18
transcript.pyannote[886].start 22795.82721875
transcript.pyannote[886].end 22796.41784375
transcript.pyannote[887].speaker SPEAKER_18
transcript.pyannote[887].start 22796.58659375
transcript.pyannote[887].end 22797.71721875
transcript.pyannote[888].speaker SPEAKER_18
transcript.pyannote[888].start 22798.15596875
transcript.pyannote[888].end 22799.86034375
transcript.pyannote[889].speaker SPEAKER_18
transcript.pyannote[889].start 22800.23159375
transcript.pyannote[889].end 22803.72471875
transcript.pyannote[890].speaker SPEAKER_18
transcript.pyannote[890].start 22804.23096875
transcript.pyannote[890].end 22804.68659375
transcript.pyannote[891].speaker SPEAKER_18
transcript.pyannote[891].start 22805.07471875
transcript.pyannote[891].end 22805.78346875
transcript.pyannote[892].speaker SPEAKER_18
transcript.pyannote[892].start 22806.10409375
transcript.pyannote[892].end 22806.96471875
transcript.pyannote[893].speaker SPEAKER_18
transcript.pyannote[893].start 22807.08284375
transcript.pyannote[893].end 22807.43721875
transcript.pyannote[894].speaker SPEAKER_18
transcript.pyannote[894].start 22807.85909375
transcript.pyannote[894].end 22810.76159375
transcript.pyannote[895].speaker SPEAKER_18
transcript.pyannote[895].start 22810.96409375
transcript.pyannote[895].end 22814.84534375
transcript.pyannote[896].speaker SPEAKER_18
transcript.pyannote[896].start 22814.94659375
transcript.pyannote[896].end 22825.74659375
transcript.pyannote[897].speaker SPEAKER_18
transcript.pyannote[897].start 22826.11784375
transcript.pyannote[897].end 22831.33221875
transcript.pyannote[898].speaker SPEAKER_18
transcript.pyannote[898].start 22831.50096875
transcript.pyannote[898].end 22833.61034375
transcript.pyannote[899].speaker SPEAKER_18
transcript.pyannote[899].start 22833.93096875
transcript.pyannote[899].end 22834.43721875
transcript.pyannote[900].speaker SPEAKER_18
transcript.pyannote[900].start 22834.85909375
transcript.pyannote[900].end 22838.65596875
transcript.pyannote[901].speaker SPEAKER_18
transcript.pyannote[901].start 22838.92596875
transcript.pyannote[901].end 22844.46096875
transcript.pyannote[902].speaker SPEAKER_18
transcript.pyannote[902].start 22845.08534375
transcript.pyannote[902].end 22851.64971875
transcript.pyannote[903].speaker SPEAKER_18
transcript.pyannote[903].start 22851.81846875
transcript.pyannote[903].end 22853.25284375
transcript.pyannote[904].speaker SPEAKER_18
transcript.pyannote[904].start 22853.80971875
transcript.pyannote[904].end 22859.76659375
transcript.pyannote[905].speaker SPEAKER_16
transcript.pyannote[905].start 22861.06596875
transcript.pyannote[905].end 22861.08284375
transcript.pyannote[906].speaker SPEAKER_07
transcript.pyannote[906].start 22861.08284375
transcript.pyannote[906].end 22862.90534375
transcript.pyannote[907].speaker SPEAKER_07
transcript.pyannote[907].start 22863.42846875
transcript.pyannote[907].end 22868.79471875
transcript.pyannote[908].speaker SPEAKER_07
transcript.pyannote[908].start 22869.23346875
transcript.pyannote[908].end 22870.51596875
transcript.pyannote[909].speaker SPEAKER_07
transcript.pyannote[909].start 22870.75221875
transcript.pyannote[909].end 22872.70971875
transcript.pyannote[910].speaker SPEAKER_07
transcript.pyannote[910].start 22873.03034375
transcript.pyannote[910].end 22877.23221875
transcript.pyannote[911].speaker SPEAKER_07
transcript.pyannote[911].start 22877.63721875
transcript.pyannote[911].end 22879.17284375
transcript.pyannote[912].speaker SPEAKER_07
transcript.pyannote[912].start 22879.45971875
transcript.pyannote[912].end 22881.13034375
transcript.pyannote[913].speaker SPEAKER_07
transcript.pyannote[913].start 22881.40034375
transcript.pyannote[913].end 22884.72471875
transcript.pyannote[914].speaker SPEAKER_18
transcript.pyannote[914].start 22886.54721875
transcript.pyannote[914].end 22892.09909375
transcript.pyannote[915].speaker SPEAKER_18
transcript.pyannote[915].start 22892.21721875
transcript.pyannote[915].end 22895.30534375
transcript.pyannote[916].speaker SPEAKER_18
transcript.pyannote[916].start 22895.59221875
transcript.pyannote[916].end 22898.37659375
transcript.pyannote[917].speaker SPEAKER_18
transcript.pyannote[917].start 22898.66346875
transcript.pyannote[917].end 22900.38471875
transcript.pyannote[918].speaker SPEAKER_18
transcript.pyannote[918].start 22900.84034375
transcript.pyannote[918].end 22901.16096875
transcript.pyannote[919].speaker SPEAKER_18
transcript.pyannote[919].start 22901.44784375
transcript.pyannote[919].end 22903.64159375
transcript.pyannote[920].speaker SPEAKER_18
transcript.pyannote[920].start 22903.72596875
transcript.pyannote[920].end 22906.57784375
transcript.pyannote[921].speaker SPEAKER_18
transcript.pyannote[921].start 22906.76346875
transcript.pyannote[921].end 22910.15534375
transcript.pyannote[922].speaker SPEAKER_18
transcript.pyannote[922].start 22910.66159375
transcript.pyannote[922].end 22912.07909375
transcript.pyannote[923].speaker SPEAKER_18
transcript.pyannote[923].start 22912.19721875
transcript.pyannote[923].end 22916.65221875
transcript.pyannote[924].speaker SPEAKER_18
transcript.pyannote[924].start 22917.05721875
transcript.pyannote[924].end 22918.03596875
transcript.pyannote[925].speaker SPEAKER_18
transcript.pyannote[925].start 22918.18784375
transcript.pyannote[925].end 22919.25096875
transcript.pyannote[926].speaker SPEAKER_18
transcript.pyannote[926].start 22919.65596875
transcript.pyannote[926].end 22920.07784375
transcript.pyannote[927].speaker SPEAKER_18
transcript.pyannote[927].start 22920.43221875
transcript.pyannote[927].end 22921.68096875
transcript.pyannote[928].speaker SPEAKER_18
transcript.pyannote[928].start 22923.52034375
transcript.pyannote[928].end 22924.21221875
transcript.pyannote[929].speaker SPEAKER_18
transcript.pyannote[929].start 22924.49909375
transcript.pyannote[929].end 22925.30909375
transcript.pyannote[930].speaker SPEAKER_18
transcript.pyannote[930].start 22927.45221875
transcript.pyannote[930].end 22928.11034375
transcript.pyannote[931].speaker SPEAKER_18
transcript.pyannote[931].start 22928.43096875
transcript.pyannote[931].end 22930.00034375
transcript.pyannote[932].speaker SPEAKER_18
transcript.pyannote[932].start 22930.59096875
transcript.pyannote[932].end 22932.59909375
transcript.pyannote[933].speaker SPEAKER_18
transcript.pyannote[933].start 22933.15596875
transcript.pyannote[933].end 22933.69596875
transcript.pyannote[934].speaker SPEAKER_18
transcript.pyannote[934].start 22934.35409375
transcript.pyannote[934].end 22936.58159375
transcript.pyannote[935].speaker SPEAKER_18
transcript.pyannote[935].start 22937.12159375
transcript.pyannote[935].end 22938.70784375
transcript.pyannote[936].speaker SPEAKER_18
transcript.pyannote[936].start 22938.94409375
transcript.pyannote[936].end 22941.42471875
transcript.pyannote[937].speaker SPEAKER_18
transcript.pyannote[937].start 22942.03221875
transcript.pyannote[937].end 22944.78284375
transcript.pyannote[938].speaker SPEAKER_18
transcript.pyannote[938].start 22945.27221875
transcript.pyannote[938].end 22947.63471875
transcript.pyannote[939].speaker SPEAKER_18
transcript.pyannote[939].start 22948.49534375
transcript.pyannote[939].end 22949.22096875
transcript.pyannote[940].speaker SPEAKER_18
transcript.pyannote[940].start 22950.13221875
transcript.pyannote[940].end 22951.66784375
transcript.pyannote[941].speaker SPEAKER_18
transcript.pyannote[941].start 22952.59596875
transcript.pyannote[941].end 22953.81096875
transcript.pyannote[942].speaker SPEAKER_18
transcript.pyannote[942].start 22954.26659375
transcript.pyannote[942].end 22962.51846875
transcript.pyannote[943].speaker SPEAKER_18
transcript.pyannote[943].start 22962.83909375
transcript.pyannote[943].end 22965.65721875
transcript.pyannote[944].speaker SPEAKER_18
transcript.pyannote[944].start 22966.01159375
transcript.pyannote[944].end 22967.69909375
transcript.pyannote[945].speaker SPEAKER_18
transcript.pyannote[945].start 22968.23909375
transcript.pyannote[945].end 22974.73596875
transcript.pyannote[946].speaker SPEAKER_18
transcript.pyannote[946].start 22974.83721875
transcript.pyannote[946].end 22977.58784375
transcript.pyannote[947].speaker SPEAKER_07
transcript.pyannote[947].start 22977.58784375
transcript.pyannote[947].end 22982.17784375
transcript.pyannote[948].speaker SPEAKER_07
transcript.pyannote[948].start 22982.46471875
transcript.pyannote[948].end 22985.85659375
transcript.pyannote[949].speaker SPEAKER_07
transcript.pyannote[949].start 22986.22784375
transcript.pyannote[949].end 22988.72534375
transcript.pyannote[950].speaker SPEAKER_07
transcript.pyannote[950].start 22989.04596875
transcript.pyannote[950].end 22992.79221875
transcript.pyannote[951].speaker SPEAKER_07
transcript.pyannote[951].start 22993.18034375
transcript.pyannote[951].end 22995.08721875
transcript.pyannote[952].speaker SPEAKER_07
transcript.pyannote[952].start 22995.30659375
transcript.pyannote[952].end 22996.63971875
transcript.pyannote[953].speaker SPEAKER_07
transcript.pyannote[953].start 22997.02784375
transcript.pyannote[953].end 22998.79971875
transcript.pyannote[954].speaker SPEAKER_07
transcript.pyannote[954].start 22998.91784375
transcript.pyannote[954].end 23001.53346875
transcript.pyannote[955].speaker SPEAKER_07
transcript.pyannote[955].start 23001.88784375
transcript.pyannote[955].end 23003.32221875
transcript.pyannote[956].speaker SPEAKER_07
transcript.pyannote[956].start 23003.64284375
transcript.pyannote[956].end 23005.44846875
transcript.pyannote[957].speaker SPEAKER_07
transcript.pyannote[957].start 23005.75221875
transcript.pyannote[957].end 23006.84909375
transcript.pyannote[958].speaker SPEAKER_07
transcript.pyannote[958].start 23006.98409375
transcript.pyannote[958].end 23011.38846875
transcript.pyannote[959].speaker SPEAKER_07
transcript.pyannote[959].start 23011.64159375
transcript.pyannote[959].end 23013.04221875
transcript.pyannote[960].speaker SPEAKER_07
transcript.pyannote[960].start 23013.32909375
transcript.pyannote[960].end 23016.68721875
transcript.pyannote[961].speaker SPEAKER_07
transcript.pyannote[961].start 23017.09221875
transcript.pyannote[961].end 23018.56034375
transcript.pyannote[962].speaker SPEAKER_07
transcript.pyannote[962].start 23018.81346875
transcript.pyannote[962].end 23020.28159375
transcript.pyannote[963].speaker SPEAKER_07
transcript.pyannote[963].start 23020.58534375
transcript.pyannote[963].end 23025.19221875
transcript.pyannote[964].speaker SPEAKER_07
transcript.pyannote[964].start 23025.52971875
transcript.pyannote[964].end 23026.50846875
transcript.pyannote[965].speaker SPEAKER_07
transcript.pyannote[965].start 23026.87971875
transcript.pyannote[965].end 23034.03471875
transcript.pyannote[966].speaker SPEAKER_18
transcript.pyannote[966].start 23031.50346875
transcript.pyannote[966].end 23035.65471875
transcript.pyannote[967].speaker SPEAKER_18
transcript.pyannote[967].start 23035.90784375
transcript.pyannote[967].end 23036.56596875
transcript.pyannote[968].speaker SPEAKER_18
transcript.pyannote[968].start 23037.03846875
transcript.pyannote[968].end 23040.68346875
transcript.pyannote[969].speaker SPEAKER_18
transcript.pyannote[969].start 23040.95346875
transcript.pyannote[969].end 23042.96159375
transcript.pyannote[970].speaker SPEAKER_18
transcript.pyannote[970].start 23043.53534375
transcript.pyannote[970].end 23046.79221875
transcript.pyannote[971].speaker SPEAKER_18
transcript.pyannote[971].start 23048.19284375
transcript.pyannote[971].end 23050.57221875
transcript.pyannote[972].speaker SPEAKER_18
transcript.pyannote[972].start 23050.96034375
transcript.pyannote[972].end 23051.53409375
transcript.pyannote[973].speaker SPEAKER_18
transcript.pyannote[973].start 23051.78721875
transcript.pyannote[973].end 23053.03596875
transcript.pyannote[974].speaker SPEAKER_18
transcript.pyannote[974].start 23053.30596875
transcript.pyannote[974].end 23056.56284375
transcript.pyannote[975].speaker SPEAKER_18
transcript.pyannote[975].start 23057.13659375
transcript.pyannote[975].end 23059.36409375
transcript.pyannote[976].speaker SPEAKER_18
transcript.pyannote[976].start 23059.43159375
transcript.pyannote[976].end 23060.91659375
transcript.pyannote[977].speaker SPEAKER_18
transcript.pyannote[977].start 23061.40596875
transcript.pyannote[977].end 23063.39721875
transcript.pyannote[978].speaker SPEAKER_18
transcript.pyannote[978].start 23063.95409375
transcript.pyannote[978].end 23067.91971875
transcript.pyannote[979].speaker SPEAKER_18
transcript.pyannote[979].start 23067.97034375
transcript.pyannote[979].end 23070.33284375
transcript.pyannote[980].speaker SPEAKER_07
transcript.pyannote[980].start 23070.33284375
transcript.pyannote[980].end 23076.23909375
transcript.pyannote[981].speaker SPEAKER_07
transcript.pyannote[981].start 23076.61034375
transcript.pyannote[981].end 23078.58471875
transcript.pyannote[982].speaker SPEAKER_07
transcript.pyannote[982].start 23078.87159375
transcript.pyannote[982].end 23082.14534375
transcript.pyannote[983].speaker SPEAKER_07
transcript.pyannote[983].start 23082.49971875
transcript.pyannote[983].end 23083.98471875
transcript.pyannote[984].speaker SPEAKER_07
transcript.pyannote[984].start 23084.22096875
transcript.pyannote[984].end 23087.30909375
transcript.pyannote[985].speaker SPEAKER_07
transcript.pyannote[985].start 23087.44409375
transcript.pyannote[985].end 23089.41846875
transcript.pyannote[986].speaker SPEAKER_07
transcript.pyannote[986].start 23089.62096875
transcript.pyannote[986].end 23091.02159375
transcript.pyannote[987].speaker SPEAKER_07
transcript.pyannote[987].start 23091.88221875
transcript.pyannote[987].end 23094.14346875
transcript.pyannote[988].speaker SPEAKER_07
transcript.pyannote[988].start 23094.29534375
transcript.pyannote[988].end 23096.28659375
transcript.pyannote[989].speaker SPEAKER_18
transcript.pyannote[989].start 23096.59034375
transcript.pyannote[989].end 23099.84721875
transcript.pyannote[990].speaker SPEAKER_18
transcript.pyannote[990].start 23100.48846875
transcript.pyannote[990].end 23105.06159375
transcript.pyannote[991].speaker SPEAKER_18
transcript.pyannote[991].start 23105.48346875
transcript.pyannote[991].end 23109.53346875
transcript.pyannote[992].speaker SPEAKER_18
transcript.pyannote[992].start 23109.61784375
transcript.pyannote[992].end 23112.23346875
transcript.pyannote[993].speaker SPEAKER_18
transcript.pyannote[993].start 23112.58784375
transcript.pyannote[993].end 23121.37971875
transcript.pyannote[994].speaker SPEAKER_18
transcript.pyannote[994].start 23121.64971875
transcript.pyannote[994].end 23122.40909375
transcript.pyannote[995].speaker SPEAKER_18
transcript.pyannote[995].start 23123.26971875
transcript.pyannote[995].end 23124.85596875
transcript.pyannote[996].speaker SPEAKER_18
transcript.pyannote[996].start 23125.17659375
transcript.pyannote[996].end 23127.60659375
transcript.pyannote[997].speaker SPEAKER_18
transcript.pyannote[997].start 23128.02846875
transcript.pyannote[997].end 23128.75409375
transcript.pyannote[998].speaker SPEAKER_18
transcript.pyannote[998].start 23129.42909375
transcript.pyannote[998].end 23130.44159375
transcript.pyannote[999].speaker SPEAKER_18
transcript.pyannote[999].start 23130.67784375
transcript.pyannote[999].end 23132.31471875
transcript.pyannote[1000].speaker SPEAKER_18
transcript.pyannote[1000].start 23132.78721875
transcript.pyannote[1000].end 23135.09909375
transcript.pyannote[1001].speaker SPEAKER_18
transcript.pyannote[1001].start 23136.02721875
transcript.pyannote[1001].end 23137.15784375
transcript.pyannote[1002].speaker SPEAKER_18
transcript.pyannote[1002].start 23137.61346875
transcript.pyannote[1002].end 23138.25471875
transcript.pyannote[1003].speaker SPEAKER_18
transcript.pyannote[1003].start 23139.57096875
transcript.pyannote[1003].end 23140.53284375
transcript.pyannote[1004].speaker SPEAKER_18
transcript.pyannote[1004].start 23140.90409375
transcript.pyannote[1004].end 23142.45659375
transcript.pyannote[1005].speaker SPEAKER_18
transcript.pyannote[1005].start 23142.87846875
transcript.pyannote[1005].end 23143.31721875
transcript.pyannote[1006].speaker SPEAKER_18
transcript.pyannote[1006].start 23144.07659375
transcript.pyannote[1006].end 23144.73471875
transcript.pyannote[1007].speaker SPEAKER_18
transcript.pyannote[1007].start 23144.93721875
transcript.pyannote[1007].end 23145.51096875
transcript.pyannote[1008].speaker SPEAKER_18
transcript.pyannote[1008].start 23146.32096875
transcript.pyannote[1008].end 23149.89846875
transcript.pyannote[1009].speaker SPEAKER_18
transcript.pyannote[1009].start 23150.26971875
transcript.pyannote[1009].end 23150.82659375
transcript.pyannote[1010].speaker SPEAKER_18
transcript.pyannote[1010].start 23151.43409375
transcript.pyannote[1010].end 23152.24409375
transcript.pyannote[1011].speaker SPEAKER_18
transcript.pyannote[1011].start 23152.39596875
transcript.pyannote[1011].end 23154.03284375
transcript.pyannote[1012].speaker SPEAKER_18
transcript.pyannote[1012].start 23154.58971875
transcript.pyannote[1012].end 23161.96409375
transcript.pyannote[1013].speaker SPEAKER_18
transcript.pyannote[1013].start 23162.23409375
transcript.pyannote[1013].end 23162.67284375
transcript.pyannote[1014].speaker SPEAKER_18
transcript.pyannote[1014].start 23163.02721875
transcript.pyannote[1014].end 23176.42596875
transcript.pyannote[1015].speaker SPEAKER_17
transcript.pyannote[1015].start 23177.28659375
transcript.pyannote[1015].end 23177.96159375
transcript.pyannote[1016].speaker SPEAKER_17
transcript.pyannote[1016].start 23178.31596875
transcript.pyannote[1016].end 23180.47596875
transcript.pyannote[1017].speaker SPEAKER_17
transcript.pyannote[1017].start 23180.76284375
transcript.pyannote[1017].end 23184.54284375
transcript.pyannote[1018].speaker SPEAKER_00
transcript.pyannote[1018].start 23182.43346875
transcript.pyannote[1018].end 23182.45034375
transcript.pyannote[1019].speaker SPEAKER_25
transcript.pyannote[1019].start 23182.45034375
transcript.pyannote[1019].end 23182.55159375
transcript.pyannote[1020].speaker SPEAKER_00
transcript.pyannote[1020].start 23182.55159375
transcript.pyannote[1020].end 23182.73721875
transcript.pyannote[1021].speaker SPEAKER_17
transcript.pyannote[1021].start 23184.96471875
transcript.pyannote[1021].end 23189.36909375
transcript.pyannote[1022].speaker SPEAKER_17
transcript.pyannote[1022].start 23189.41971875
transcript.pyannote[1022].end 23189.70659375
transcript.pyannote[1023].speaker SPEAKER_17
transcript.pyannote[1023].start 23189.87534375
transcript.pyannote[1023].end 23193.28409375
transcript.pyannote[1024].speaker SPEAKER_17
transcript.pyannote[1024].start 23193.43596875
transcript.pyannote[1024].end 23195.96721875
transcript.pyannote[1025].speaker SPEAKER_17
transcript.pyannote[1025].start 23196.18659375
transcript.pyannote[1025].end 23200.62471875
transcript.pyannote[1026].speaker SPEAKER_17
transcript.pyannote[1026].start 23201.13096875
transcript.pyannote[1026].end 23205.13034375
transcript.pyannote[1027].speaker SPEAKER_18
transcript.pyannote[1027].start 23206.04159375
transcript.pyannote[1027].end 23206.17659375
transcript.pyannote[1028].speaker SPEAKER_18
transcript.pyannote[1028].start 23207.20596875
transcript.pyannote[1028].end 23209.58534375
transcript.pyannote[1029].speaker SPEAKER_18
transcript.pyannote[1029].start 23209.92284375
transcript.pyannote[1029].end 23213.28096875
transcript.pyannote[1030].speaker SPEAKER_18
transcript.pyannote[1030].start 23213.60159375
transcript.pyannote[1030].end 23216.03159375
transcript.pyannote[1031].speaker SPEAKER_18
transcript.pyannote[1031].start 23216.48721875
transcript.pyannote[1031].end 23220.21659375
transcript.pyannote[1032].speaker SPEAKER_18
transcript.pyannote[1032].start 23220.58784375
transcript.pyannote[1032].end 23225.43096875
transcript.pyannote[1033].speaker SPEAKER_18
transcript.pyannote[1033].start 23226.08909375
transcript.pyannote[1033].end 23227.38846875
transcript.pyannote[1034].speaker SPEAKER_18
transcript.pyannote[1034].start 23227.69221875
transcript.pyannote[1034].end 23230.69596875
transcript.pyannote[1035].speaker SPEAKER_18
transcript.pyannote[1035].start 23231.06721875
transcript.pyannote[1035].end 23231.87721875
transcript.pyannote[1036].speaker SPEAKER_18
transcript.pyannote[1036].start 23232.19784375
transcript.pyannote[1036].end 23235.94409375
transcript.pyannote[1037].speaker SPEAKER_18
transcript.pyannote[1037].start 23236.12971875
transcript.pyannote[1037].end 23236.46721875
transcript.pyannote[1038].speaker SPEAKER_18
transcript.pyannote[1038].start 23236.51784375
transcript.pyannote[1038].end 23238.54284375
transcript.pyannote[1039].speaker SPEAKER_18
transcript.pyannote[1039].start 23238.77909375
transcript.pyannote[1039].end 23243.87534375
transcript.pyannote[1040].speaker SPEAKER_18
transcript.pyannote[1040].start 23244.11159375
transcript.pyannote[1040].end 23248.63409375
transcript.pyannote[1041].speaker SPEAKER_18
transcript.pyannote[1041].start 23249.00534375
transcript.pyannote[1041].end 23249.44409375
transcript.pyannote[1042].speaker SPEAKER_18
transcript.pyannote[1042].start 23249.64659375
transcript.pyannote[1042].end 23253.56159375
transcript.pyannote[1043].speaker SPEAKER_17
transcript.pyannote[1043].start 23254.18596875
transcript.pyannote[1043].end 23259.26534375
transcript.pyannote[1044].speaker SPEAKER_17
transcript.pyannote[1044].start 23259.38346875
transcript.pyannote[1044].end 23269.96409375
transcript.pyannote[1045].speaker SPEAKER_17
transcript.pyannote[1045].start 23270.30159375
transcript.pyannote[1045].end 23272.29284375
transcript.pyannote[1046].speaker SPEAKER_18
transcript.pyannote[1046].start 23273.76096875
transcript.pyannote[1046].end 23274.67221875
transcript.pyannote[1047].speaker SPEAKER_18
transcript.pyannote[1047].start 23275.07721875
transcript.pyannote[1047].end 23278.23284375
transcript.pyannote[1048].speaker SPEAKER_18
transcript.pyannote[1048].start 23278.89096875
transcript.pyannote[1048].end 23282.67096875
transcript.pyannote[1049].speaker SPEAKER_18
transcript.pyannote[1049].start 23282.90721875
transcript.pyannote[1049].end 23283.86909375
transcript.pyannote[1050].speaker SPEAKER_18
transcript.pyannote[1050].start 23284.25721875
transcript.pyannote[1050].end 23291.02409375
transcript.pyannote[1051].speaker SPEAKER_18
transcript.pyannote[1051].start 23291.47971875
transcript.pyannote[1051].end 23294.60159375
transcript.pyannote[1052].speaker SPEAKER_18
transcript.pyannote[1052].start 23295.19221875
transcript.pyannote[1052].end 23298.48284375
transcript.pyannote[1053].speaker SPEAKER_18
transcript.pyannote[1053].start 23298.83721875
transcript.pyannote[1053].end 23301.79034375
transcript.pyannote[1054].speaker SPEAKER_18
transcript.pyannote[1054].start 23302.07721875
transcript.pyannote[1054].end 23304.99659375
transcript.pyannote[1055].speaker SPEAKER_18
transcript.pyannote[1055].start 23305.75596875
transcript.pyannote[1055].end 23318.56409375
transcript.pyannote[1056].speaker SPEAKER_18
transcript.pyannote[1056].start 23318.86784375
transcript.pyannote[1056].end 23321.63534375
transcript.pyannote[1057].speaker SPEAKER_18
transcript.pyannote[1057].start 23322.37784375
transcript.pyannote[1057].end 23323.32284375
transcript.pyannote[1058].speaker SPEAKER_18
transcript.pyannote[1058].start 23323.59284375
transcript.pyannote[1058].end 23327.71034375
transcript.pyannote[1059].speaker SPEAKER_18
transcript.pyannote[1059].start 23327.86221875
transcript.pyannote[1059].end 23329.56659375
transcript.pyannote[1060].speaker SPEAKER_18
transcript.pyannote[1060].start 23329.65096875
transcript.pyannote[1060].end 23332.77284375
transcript.pyannote[1061].speaker SPEAKER_18
transcript.pyannote[1061].start 23332.95846875
transcript.pyannote[1061].end 23335.60784375
transcript.pyannote[1062].speaker SPEAKER_18
transcript.pyannote[1062].start 23335.92846875
transcript.pyannote[1062].end 23338.56096875
transcript.pyannote[1063].speaker SPEAKER_18
transcript.pyannote[1063].start 23338.94909375
transcript.pyannote[1063].end 23341.24409375
transcript.pyannote[1064].speaker SPEAKER_18
transcript.pyannote[1064].start 23341.49721875
transcript.pyannote[1064].end 23342.12159375
transcript.pyannote[1065].speaker SPEAKER_18
transcript.pyannote[1065].start 23342.59409375
transcript.pyannote[1065].end 23346.34034375
transcript.pyannote[1066].speaker SPEAKER_18
transcript.pyannote[1066].start 23347.23471875
transcript.pyannote[1066].end 23350.59284375
transcript.pyannote[1067].speaker SPEAKER_18
transcript.pyannote[1067].start 23351.38596875
transcript.pyannote[1067].end 23352.02721875
transcript.pyannote[1068].speaker SPEAKER_18
transcript.pyannote[1068].start 23352.26346875
transcript.pyannote[1068].end 23353.27596875
transcript.pyannote[1069].speaker SPEAKER_18
transcript.pyannote[1069].start 23353.41096875
transcript.pyannote[1069].end 23354.01846875
transcript.pyannote[1070].speaker SPEAKER_18
transcript.pyannote[1070].start 23354.27159375
transcript.pyannote[1070].end 23356.90409375
transcript.pyannote[1071].speaker SPEAKER_18
transcript.pyannote[1071].start 23357.27534375
transcript.pyannote[1071].end 23359.68846875
transcript.pyannote[1072].speaker SPEAKER_18
transcript.pyannote[1072].start 23359.92471875
transcript.pyannote[1072].end 23363.23221875
transcript.pyannote[1073].speaker SPEAKER_18
transcript.pyannote[1073].start 23363.56971875
transcript.pyannote[1073].end 23372.71596875
transcript.pyannote[1074].speaker SPEAKER_18
transcript.pyannote[1074].start 23372.95221875
transcript.pyannote[1074].end 23376.51284375
transcript.pyannote[1075].speaker SPEAKER_18
transcript.pyannote[1075].start 23376.78284375
transcript.pyannote[1075].end 23379.68534375
transcript.pyannote[1076].speaker SPEAKER_18
transcript.pyannote[1076].start 23379.93846875
transcript.pyannote[1076].end 23380.57971875
transcript.pyannote[1077].speaker SPEAKER_07
transcript.pyannote[1077].start 23382.38534375
transcript.pyannote[1077].end 23384.14034375
transcript.pyannote[1078].speaker SPEAKER_07
transcript.pyannote[1078].start 23384.44409375
transcript.pyannote[1078].end 23384.96721875
transcript.pyannote[1079].speaker SPEAKER_07
transcript.pyannote[1079].start 23385.33846875
transcript.pyannote[1079].end 23389.47284375
transcript.pyannote[1080].speaker SPEAKER_07
transcript.pyannote[1080].start 23389.52346875
transcript.pyannote[1080].end 23392.44284375
transcript.pyannote[1081].speaker SPEAKER_00
transcript.pyannote[1081].start 23389.77659375
transcript.pyannote[1081].end 23389.86096875
transcript.pyannote[1082].speaker SPEAKER_07
transcript.pyannote[1082].start 23392.78034375
transcript.pyannote[1082].end 23394.41721875
transcript.pyannote[1083].speaker SPEAKER_07
transcript.pyannote[1083].start 23394.55221875
transcript.pyannote[1083].end 23395.31159375
transcript.pyannote[1084].speaker SPEAKER_07
transcript.pyannote[1084].start 23395.64909375
transcript.pyannote[1084].end 23398.01159375
transcript.pyannote[1085].speaker SPEAKER_25
transcript.pyannote[1085].start 23398.23096875
transcript.pyannote[1085].end 23398.68659375
transcript.pyannote[1086].speaker SPEAKER_07
transcript.pyannote[1086].start 23398.31534375
transcript.pyannote[1086].end 23403.05721875
transcript.pyannote[1087].speaker SPEAKER_25
transcript.pyannote[1087].start 23398.99034375
transcript.pyannote[1087].end 23399.32784375
transcript.pyannote[1088].speaker SPEAKER_07
transcript.pyannote[1088].start 23403.39471875
transcript.pyannote[1088].end 23406.19596875
transcript.pyannote[1089].speaker SPEAKER_07
transcript.pyannote[1089].start 23406.68534375
transcript.pyannote[1089].end 23407.05659375
transcript.pyannote[1090].speaker SPEAKER_07
transcript.pyannote[1090].start 23407.39409375
transcript.pyannote[1090].end 23410.24596875
transcript.pyannote[1091].speaker SPEAKER_07
transcript.pyannote[1091].start 23410.49909375
transcript.pyannote[1091].end 23413.03034375
transcript.pyannote[1092].speaker SPEAKER_07
transcript.pyannote[1092].start 23413.24971875
transcript.pyannote[1092].end 23415.30846875
transcript.pyannote[1093].speaker SPEAKER_07
transcript.pyannote[1093].start 23415.67971875
transcript.pyannote[1093].end 23418.70034375
transcript.pyannote[1094].speaker SPEAKER_07
transcript.pyannote[1094].start 23418.97034375
transcript.pyannote[1094].end 23420.43846875
transcript.pyannote[1095].speaker SPEAKER_07
transcript.pyannote[1095].start 23420.89409375
transcript.pyannote[1095].end 23422.51409375
transcript.pyannote[1096].speaker SPEAKER_07
transcript.pyannote[1096].start 23422.80096875
transcript.pyannote[1096].end 23423.93159375
transcript.pyannote[1097].speaker SPEAKER_07
transcript.pyannote[1097].start 23424.26909375
transcript.pyannote[1097].end 23428.75784375
transcript.pyannote[1098].speaker SPEAKER_07
transcript.pyannote[1098].start 23429.01096875
transcript.pyannote[1098].end 23430.42846875
transcript.pyannote[1099].speaker SPEAKER_07
transcript.pyannote[1099].start 23430.74909375
transcript.pyannote[1099].end 23432.11596875
transcript.pyannote[1100].speaker SPEAKER_07
transcript.pyannote[1100].start 23432.43659375
transcript.pyannote[1100].end 23433.53346875
transcript.pyannote[1101].speaker SPEAKER_07
transcript.pyannote[1101].start 23433.71909375
transcript.pyannote[1101].end 23435.18721875
transcript.pyannote[1102].speaker SPEAKER_07
transcript.pyannote[1102].start 23435.62596875
transcript.pyannote[1102].end 23440.14846875
transcript.pyannote[1103].speaker SPEAKER_25
transcript.pyannote[1103].start 23438.15721875
transcript.pyannote[1103].end 23438.74784375
transcript.pyannote[1104].speaker SPEAKER_07
transcript.pyannote[1104].start 23440.50284375
transcript.pyannote[1104].end 23442.88221875
transcript.pyannote[1105].speaker SPEAKER_07
transcript.pyannote[1105].start 23443.23659375
transcript.pyannote[1105].end 23446.91534375
transcript.pyannote[1106].speaker SPEAKER_07
transcript.pyannote[1106].start 23447.16846875
transcript.pyannote[1106].end 23448.63659375
transcript.pyannote[1107].speaker SPEAKER_07
transcript.pyannote[1107].start 23448.95721875
transcript.pyannote[1107].end 23451.94409375
transcript.pyannote[1108].speaker SPEAKER_07
transcript.pyannote[1108].start 23452.24784375
transcript.pyannote[1108].end 23453.90159375
transcript.pyannote[1109].speaker SPEAKER_07
transcript.pyannote[1109].start 23454.17159375
transcript.pyannote[1109].end 23456.68596875
transcript.pyannote[1110].speaker SPEAKER_07
transcript.pyannote[1110].start 23456.98971875
transcript.pyannote[1110].end 23459.08221875
transcript.pyannote[1111].speaker SPEAKER_07
transcript.pyannote[1111].start 23459.26784375
transcript.pyannote[1111].end 23461.68096875
transcript.pyannote[1112].speaker SPEAKER_18
transcript.pyannote[1112].start 23461.57971875
transcript.pyannote[1112].end 23462.11971875
transcript.pyannote[1113].speaker SPEAKER_18
transcript.pyannote[1113].start 23462.49096875
transcript.pyannote[1113].end 23465.84909375
transcript.pyannote[1114].speaker SPEAKER_18
transcript.pyannote[1114].start 23466.54096875
transcript.pyannote[1114].end 23468.02596875
transcript.pyannote[1115].speaker SPEAKER_18
transcript.pyannote[1115].start 23468.12721875
transcript.pyannote[1115].end 23468.93721875
transcript.pyannote[1116].speaker SPEAKER_18
transcript.pyannote[1116].start 23469.20721875
transcript.pyannote[1116].end 23470.54034375
transcript.pyannote[1117].speaker SPEAKER_18
transcript.pyannote[1117].start 23471.02971875
transcript.pyannote[1117].end 23473.34159375
transcript.pyannote[1118].speaker SPEAKER_18
transcript.pyannote[1118].start 23473.62846875
transcript.pyannote[1118].end 23474.74221875
transcript.pyannote[1119].speaker SPEAKER_18
transcript.pyannote[1119].start 23475.11346875
transcript.pyannote[1119].end 23478.52221875
transcript.pyannote[1120].speaker SPEAKER_18
transcript.pyannote[1120].start 23478.72471875
transcript.pyannote[1120].end 23479.51784375
transcript.pyannote[1121].speaker SPEAKER_18
transcript.pyannote[1121].start 23479.61909375
transcript.pyannote[1121].end 23481.77909375
transcript.pyannote[1122].speaker SPEAKER_18
transcript.pyannote[1122].start 23482.04909375
transcript.pyannote[1122].end 23484.90096875
transcript.pyannote[1123].speaker SPEAKER_18
transcript.pyannote[1123].start 23484.98534375
transcript.pyannote[1123].end 23488.37721875
transcript.pyannote[1124].speaker SPEAKER_03
transcript.pyannote[1124].start 23499.78471875
transcript.pyannote[1124].end 23501.10096875
transcript.pyannote[1125].speaker SPEAKER_03
transcript.pyannote[1125].start 23501.40471875
transcript.pyannote[1125].end 23505.35346875
transcript.pyannote[1126].speaker SPEAKER_03
transcript.pyannote[1126].start 23506.66971875
transcript.pyannote[1126].end 23507.12534375
transcript.pyannote[1127].speaker SPEAKER_03
transcript.pyannote[1127].start 23508.01971875
transcript.pyannote[1127].end 23512.30596875
transcript.pyannote[1128].speaker SPEAKER_03
transcript.pyannote[1128].start 23513.97659375
transcript.pyannote[1128].end 23518.19534375
transcript.pyannote[1129].speaker SPEAKER_13
transcript.pyannote[1129].start 23524.18596875
transcript.pyannote[1129].end 23525.99159375
transcript.pyannote[1130].speaker SPEAKER_03
transcript.pyannote[1130].start 23527.00409375
transcript.pyannote[1130].end 23528.40471875
transcript.pyannote[1131].speaker SPEAKER_17
transcript.pyannote[1131].start 23536.57221875
transcript.pyannote[1131].end 23537.19659375
transcript.pyannote[1132].speaker SPEAKER_13
transcript.pyannote[1132].start 23537.26409375
transcript.pyannote[1132].end 23537.82096875
transcript.pyannote[1133].speaker SPEAKER_13
transcript.pyannote[1133].start 23538.34409375
transcript.pyannote[1133].end 23538.93471875
transcript.pyannote[1134].speaker SPEAKER_13
transcript.pyannote[1134].start 23539.45784375
transcript.pyannote[1134].end 23540.75721875
transcript.pyannote[1135].speaker SPEAKER_13
transcript.pyannote[1135].start 23541.11159375
transcript.pyannote[1135].end 23589.91409375
transcript.pyannote[1136].speaker SPEAKER_13
transcript.pyannote[1136].start 23590.20096875
transcript.pyannote[1136].end 23614.50096875
transcript.pyannote[1137].speaker SPEAKER_13
transcript.pyannote[1137].start 23614.88909375
transcript.pyannote[1137].end 23634.85221875
transcript.pyannote[1138].speaker SPEAKER_17
transcript.pyannote[1138].start 23635.42596875
transcript.pyannote[1138].end 23636.53971875
transcript.pyannote[1139].speaker SPEAKER_17
transcript.pyannote[1139].start 23636.97846875
transcript.pyannote[1139].end 23644.36971875
transcript.pyannote[1140].speaker SPEAKER_17
transcript.pyannote[1140].start 23644.77471875
transcript.pyannote[1140].end 23650.07346875
transcript.pyannote[1141].speaker SPEAKER_13
transcript.pyannote[1141].start 23645.16284375
transcript.pyannote[1141].end 23646.93471875
transcript.pyannote[1142].speaker SPEAKER_13
transcript.pyannote[1142].start 23648.33534375
transcript.pyannote[1142].end 23651.25471875
transcript.pyannote[1143].speaker SPEAKER_17
transcript.pyannote[1143].start 23650.68096875
transcript.pyannote[1143].end 23659.33784375
transcript.pyannote[1144].speaker SPEAKER_17
transcript.pyannote[1144].start 23659.47284375
transcript.pyannote[1144].end 23659.94534375
transcript.pyannote[1145].speaker SPEAKER_17
transcript.pyannote[1145].start 23660.29971875
transcript.pyannote[1145].end 23664.85596875
transcript.pyannote[1146].speaker SPEAKER_17
transcript.pyannote[1146].start 23665.24409375
transcript.pyannote[1146].end 23666.27346875
transcript.pyannote[1147].speaker SPEAKER_17
transcript.pyannote[1147].start 23666.45909375
transcript.pyannote[1147].end 23667.74159375
transcript.pyannote[1148].speaker SPEAKER_17
transcript.pyannote[1148].start 23668.07909375
transcript.pyannote[1148].end 23670.69471875
transcript.pyannote[1149].speaker SPEAKER_17
transcript.pyannote[1149].start 23670.96471875
transcript.pyannote[1149].end 23673.63096875
transcript.pyannote[1150].speaker SPEAKER_17
transcript.pyannote[1150].start 23673.78284375
transcript.pyannote[1150].end 23674.93034375
transcript.pyannote[1151].speaker SPEAKER_17
transcript.pyannote[1151].start 23674.99784375
transcript.pyannote[1151].end 23681.39346875
transcript.pyannote[1152].speaker SPEAKER_13
transcript.pyannote[1152].start 23678.91284375
transcript.pyannote[1152].end 23679.58784375
transcript.pyannote[1153].speaker SPEAKER_13
transcript.pyannote[1153].start 23680.22909375
transcript.pyannote[1153].end 23711.14409375
transcript.pyannote[1154].speaker SPEAKER_13
transcript.pyannote[1154].start 23711.38034375
transcript.pyannote[1154].end 23712.29159375
transcript.pyannote[1155].speaker SPEAKER_13
transcript.pyannote[1155].start 23712.51096875
transcript.pyannote[1155].end 23738.00909375
transcript.pyannote[1156].speaker SPEAKER_07
transcript.pyannote[1156].start 23738.92034375
transcript.pyannote[1156].end 23740.55721875
transcript.pyannote[1157].speaker SPEAKER_07
transcript.pyannote[1157].start 23740.82721875
transcript.pyannote[1157].end 23742.98721875
transcript.pyannote[1158].speaker SPEAKER_07
transcript.pyannote[1158].start 23743.27409375
transcript.pyannote[1158].end 23746.93596875
transcript.pyannote[1159].speaker SPEAKER_07
transcript.pyannote[1159].start 23747.23971875
transcript.pyannote[1159].end 23751.91409375
transcript.pyannote[1160].speaker SPEAKER_13
transcript.pyannote[1160].start 23747.59409375
transcript.pyannote[1160].end 23749.28159375
transcript.pyannote[1161].speaker SPEAKER_07
transcript.pyannote[1161].start 23752.01534375
transcript.pyannote[1161].end 23752.03221875
transcript.pyannote[1162].speaker SPEAKER_07
transcript.pyannote[1162].start 23752.06596875
transcript.pyannote[1162].end 23754.04034375
transcript.pyannote[1163].speaker SPEAKER_07
transcript.pyannote[1163].start 23754.29346875
transcript.pyannote[1163].end 23755.87971875
transcript.pyannote[1164].speaker SPEAKER_07
transcript.pyannote[1164].start 23756.30159375
transcript.pyannote[1164].end 23757.58409375
transcript.pyannote[1165].speaker SPEAKER_07
transcript.pyannote[1165].start 23757.88784375
transcript.pyannote[1165].end 23760.40221875
transcript.pyannote[1166].speaker SPEAKER_07
transcript.pyannote[1166].start 23760.63846875
transcript.pyannote[1166].end 23761.65096875
transcript.pyannote[1167].speaker SPEAKER_07
transcript.pyannote[1167].start 23761.88721875
transcript.pyannote[1167].end 23765.22846875
transcript.pyannote[1168].speaker SPEAKER_13
transcript.pyannote[1168].start 23763.57471875
transcript.pyannote[1168].end 23772.55221875
transcript.pyannote[1169].speaker SPEAKER_13
transcript.pyannote[1169].start 23773.05846875
transcript.pyannote[1169].end 23784.78659375
transcript.pyannote[1170].speaker SPEAKER_07
transcript.pyannote[1170].start 23783.36909375
transcript.pyannote[1170].end 23784.02721875
transcript.pyannote[1171].speaker SPEAKER_07
transcript.pyannote[1171].start 23784.95534375
transcript.pyannote[1171].end 23788.98846875
transcript.pyannote[1172].speaker SPEAKER_13
transcript.pyannote[1172].start 23787.79034375
transcript.pyannote[1172].end 23798.62409375
transcript.pyannote[1173].speaker SPEAKER_07
transcript.pyannote[1173].start 23795.72159375
transcript.pyannote[1173].end 23796.27846875
transcript.pyannote[1174].speaker SPEAKER_07
transcript.pyannote[1174].start 23798.25284375
transcript.pyannote[1174].end 23807.09534375
transcript.pyannote[1175].speaker SPEAKER_13
transcript.pyannote[1175].start 23805.40784375
transcript.pyannote[1175].end 23810.79096875
transcript.pyannote[1176].speaker SPEAKER_07
transcript.pyannote[1176].start 23810.79096875
transcript.pyannote[1176].end 23813.76096875
transcript.pyannote[1177].speaker SPEAKER_13
transcript.pyannote[1177].start 23810.89221875
transcript.pyannote[1177].end 23811.02721875
transcript.pyannote[1178].speaker SPEAKER_06
transcript.pyannote[1178].start 23811.02721875
transcript.pyannote[1178].end 23811.04409375
transcript.pyannote[1179].speaker SPEAKER_13
transcript.pyannote[1179].start 23811.92159375
transcript.pyannote[1179].end 23812.52909375
transcript.pyannote[1180].speaker SPEAKER_07
transcript.pyannote[1180].start 23813.91284375
transcript.pyannote[1180].end 23816.24159375
transcript.pyannote[1181].speaker SPEAKER_07
transcript.pyannote[1181].start 23816.35971875
transcript.pyannote[1181].end 23822.33346875
transcript.pyannote[1182].speaker SPEAKER_13
transcript.pyannote[1182].start 23821.52346875
transcript.pyannote[1182].end 23830.87221875
transcript.pyannote[1183].speaker SPEAKER_07
transcript.pyannote[1183].start 23826.40034375
transcript.pyannote[1183].end 23827.32846875
transcript.pyannote[1184].speaker SPEAKER_07
transcript.pyannote[1184].start 23830.87221875
transcript.pyannote[1184].end 23832.34034375
transcript.pyannote[1185].speaker SPEAKER_13
transcript.pyannote[1185].start 23831.09159375
transcript.pyannote[1185].end 23831.14221875
transcript.pyannote[1186].speaker SPEAKER_13
transcript.pyannote[1186].start 23832.34034375
transcript.pyannote[1186].end 23849.02971875
transcript.pyannote[1187].speaker SPEAKER_13
transcript.pyannote[1187].start 23849.70471875
transcript.pyannote[1187].end 23879.20221875
transcript.pyannote[1188].speaker SPEAKER_13
transcript.pyannote[1188].start 23879.48909375
transcript.pyannote[1188].end 23884.50096875
transcript.pyannote[1189].speaker SPEAKER_13
transcript.pyannote[1189].start 23885.04096875
transcript.pyannote[1189].end 23898.65909375
transcript.pyannote[1190].speaker SPEAKER_13
transcript.pyannote[1190].start 23899.72221875
transcript.pyannote[1190].end 23903.41784375
transcript.pyannote[1191].speaker SPEAKER_13
transcript.pyannote[1191].start 23903.77221875
transcript.pyannote[1191].end 23904.66659375
transcript.pyannote[1192].speaker SPEAKER_17
transcript.pyannote[1192].start 23904.88596875
transcript.pyannote[1192].end 23905.22346875
transcript.pyannote[1193].speaker SPEAKER_13
transcript.pyannote[1193].start 23905.44284375
transcript.pyannote[1193].end 23907.48471875
transcript.pyannote[1194].speaker SPEAKER_13
transcript.pyannote[1194].start 23907.83909375
transcript.pyannote[1194].end 23907.94034375
transcript.pyannote[1195].speaker SPEAKER_13
transcript.pyannote[1195].start 23908.21034375
transcript.pyannote[1195].end 23941.38659375
transcript.pyannote[1196].speaker SPEAKER_00
transcript.pyannote[1196].start 23918.60534375
transcript.pyannote[1196].end 23919.04409375
transcript.pyannote[1197].speaker SPEAKER_13
transcript.pyannote[1197].start 23941.89284375
transcript.pyannote[1197].end 23974.46159375
transcript.pyannote[1198].speaker SPEAKER_13
transcript.pyannote[1198].start 23974.64721875
transcript.pyannote[1198].end 23984.67096875
transcript.pyannote[1199].speaker SPEAKER_00
transcript.pyannote[1199].start 23977.97159375
transcript.pyannote[1199].end 23978.27534375
transcript.pyannote[1200].speaker SPEAKER_13
transcript.pyannote[1200].start 23985.17721875
transcript.pyannote[1200].end 23986.29096875
transcript.pyannote[1201].speaker SPEAKER_13
transcript.pyannote[1201].start 23986.78034375
transcript.pyannote[1201].end 23993.24346875
transcript.pyannote[1202].speaker SPEAKER_13
transcript.pyannote[1202].start 23993.81721875
transcript.pyannote[1202].end 23994.40784375
transcript.pyannote[1203].speaker SPEAKER_13
transcript.pyannote[1203].start 23994.82971875
transcript.pyannote[1203].end 23997.12471875
transcript.pyannote[1204].speaker SPEAKER_13
transcript.pyannote[1204].start 23997.68159375
transcript.pyannote[1204].end 24012.88596875
transcript.pyannote[1205].speaker SPEAKER_13
transcript.pyannote[1205].start 24013.57784375
transcript.pyannote[1205].end 24015.56909375
transcript.pyannote[1206].speaker SPEAKER_13
transcript.pyannote[1206].start 24015.78846875
transcript.pyannote[1206].end 24016.34534375
transcript.pyannote[1207].speaker SPEAKER_13
transcript.pyannote[1207].start 24016.37909375
transcript.pyannote[1207].end 24040.51034375
transcript.pyannote[1208].speaker SPEAKER_13
transcript.pyannote[1208].start 24040.99971875
transcript.pyannote[1208].end 24041.91096875
transcript.pyannote[1209].speaker SPEAKER_13
transcript.pyannote[1209].start 24042.16409375
transcript.pyannote[1209].end 24044.29034375
transcript.pyannote[1210].speaker SPEAKER_17
transcript.pyannote[1210].start 24045.53909375
transcript.pyannote[1210].end 24046.39971875
transcript.pyannote[1211].speaker SPEAKER_17
transcript.pyannote[1211].start 24047.07471875
transcript.pyannote[1211].end 24055.32659375
transcript.pyannote[1212].speaker SPEAKER_17
transcript.pyannote[1212].start 24055.66409375
transcript.pyannote[1212].end 24065.97471875
transcript.pyannote[1213].speaker SPEAKER_13
transcript.pyannote[1213].start 24064.38846875
transcript.pyannote[1213].end 24087.03471875
transcript.pyannote[1214].speaker SPEAKER_17
transcript.pyannote[1214].start 24078.37784375
transcript.pyannote[1214].end 24079.64346875
transcript.pyannote[1215].speaker SPEAKER_00
transcript.pyannote[1215].start 24079.64346875
transcript.pyannote[1215].end 24079.74471875
transcript.pyannote[1216].speaker SPEAKER_17
transcript.pyannote[1216].start 24087.03471875
transcript.pyannote[1216].end 24098.23971875
transcript.pyannote[1217].speaker SPEAKER_13
transcript.pyannote[1217].start 24089.56596875
transcript.pyannote[1217].end 24090.02159375
transcript.pyannote[1218].speaker SPEAKER_13
transcript.pyannote[1218].start 24090.20721875
transcript.pyannote[1218].end 24090.59534375
transcript.pyannote[1219].speaker SPEAKER_17
transcript.pyannote[1219].start 24098.57721875
transcript.pyannote[1219].end 24099.84284375
transcript.pyannote[1220].speaker SPEAKER_13
transcript.pyannote[1220].start 24098.83034375
transcript.pyannote[1220].end 24103.36971875
transcript.pyannote[1221].speaker SPEAKER_17
transcript.pyannote[1221].start 24101.88471875
transcript.pyannote[1221].end 24102.20534375
transcript.pyannote[1222].speaker SPEAKER_07
transcript.pyannote[1222].start 24102.20534375
transcript.pyannote[1222].end 24102.28971875
transcript.pyannote[1223].speaker SPEAKER_17
transcript.pyannote[1223].start 24102.28971875
transcript.pyannote[1223].end 24102.67784375
transcript.pyannote[1224].speaker SPEAKER_13
transcript.pyannote[1224].start 24104.14596875
transcript.pyannote[1224].end 24104.16284375
transcript.pyannote[1225].speaker SPEAKER_07
transcript.pyannote[1225].start 24104.16284375
transcript.pyannote[1225].end 24111.57096875
transcript.pyannote[1226].speaker SPEAKER_13
transcript.pyannote[1226].start 24104.19659375
transcript.pyannote[1226].end 24105.14159375
transcript.pyannote[1227].speaker SPEAKER_07
transcript.pyannote[1227].start 24111.87471875
transcript.pyannote[1227].end 24112.93784375
transcript.pyannote[1228].speaker SPEAKER_07
transcript.pyannote[1228].start 24113.14034375
transcript.pyannote[1228].end 24113.74784375
transcript.pyannote[1229].speaker SPEAKER_07
transcript.pyannote[1229].start 24113.79846875
transcript.pyannote[1229].end 24118.16909375
transcript.pyannote[1230].speaker SPEAKER_07
transcript.pyannote[1230].start 24118.37159375
transcript.pyannote[1230].end 24121.44284375
transcript.pyannote[1231].speaker SPEAKER_07
transcript.pyannote[1231].start 24121.67909375
transcript.pyannote[1231].end 24122.97846875
transcript.pyannote[1232].speaker SPEAKER_07
transcript.pyannote[1232].start 24123.09659375
transcript.pyannote[1232].end 24124.83471875
transcript.pyannote[1233].speaker SPEAKER_07
transcript.pyannote[1233].start 24125.13846875
transcript.pyannote[1233].end 24125.66159375
transcript.pyannote[1234].speaker SPEAKER_07
transcript.pyannote[1234].start 24125.71221875
transcript.pyannote[1234].end 24126.28596875
transcript.pyannote[1235].speaker SPEAKER_07
transcript.pyannote[1235].start 24126.60659375
transcript.pyannote[1235].end 24129.76221875
transcript.pyannote[1236].speaker SPEAKER_07
transcript.pyannote[1236].start 24129.88034375
transcript.pyannote[1236].end 24132.58034375
transcript.pyannote[1237].speaker SPEAKER_07
transcript.pyannote[1237].start 24132.88409375
transcript.pyannote[1237].end 24135.06096875
transcript.pyannote[1238].speaker SPEAKER_07
transcript.pyannote[1238].start 24135.39846875
transcript.pyannote[1238].end 24136.56284375
transcript.pyannote[1239].speaker SPEAKER_07
transcript.pyannote[1239].start 24136.96784375
transcript.pyannote[1239].end 24141.94596875
transcript.pyannote[1240].speaker SPEAKER_13
transcript.pyannote[1240].start 24142.11471875
transcript.pyannote[1240].end 24142.38471875
transcript.pyannote[1241].speaker SPEAKER_13
transcript.pyannote[1241].start 24142.51971875
transcript.pyannote[1241].end 24148.07159375
transcript.pyannote[1242].speaker SPEAKER_13
transcript.pyannote[1242].start 24149.16846875
transcript.pyannote[1242].end 24175.10534375
transcript.pyannote[1243].speaker SPEAKER_17
transcript.pyannote[1243].start 24175.25721875
transcript.pyannote[1243].end 24175.96596875
transcript.pyannote[1244].speaker SPEAKER_13
transcript.pyannote[1244].start 24175.96596875
transcript.pyannote[1244].end 24175.99971875
transcript.pyannote[1245].speaker SPEAKER_17
transcript.pyannote[1245].start 24175.99971875
transcript.pyannote[1245].end 24176.03346875
transcript.pyannote[1246].speaker SPEAKER_13
transcript.pyannote[1246].start 24176.03346875
transcript.pyannote[1246].end 24176.67471875
transcript.pyannote[1247].speaker SPEAKER_17
transcript.pyannote[1247].start 24176.67471875
transcript.pyannote[1247].end 24181.63596875
transcript.pyannote[1248].speaker SPEAKER_17
transcript.pyannote[1248].start 24182.09159375
transcript.pyannote[1248].end 24187.62659375
transcript.pyannote[1249].speaker SPEAKER_13
transcript.pyannote[1249].start 24183.47534375
transcript.pyannote[1249].end 24184.60596875
transcript.pyannote[1250].speaker SPEAKER_13
transcript.pyannote[1250].start 24185.56784375
transcript.pyannote[1250].end 24186.49596875
transcript.pyannote[1251].speaker SPEAKER_13
transcript.pyannote[1251].start 24187.18784375
transcript.pyannote[1251].end 24203.79284375
transcript.pyannote[1252].speaker SPEAKER_25
transcript.pyannote[1252].start 24202.54409375
transcript.pyannote[1252].end 24203.87721875
transcript.pyannote[1253].speaker SPEAKER_13
transcript.pyannote[1253].start 24204.13034375
transcript.pyannote[1253].end 24215.20034375
transcript.pyannote[1254].speaker SPEAKER_13
transcript.pyannote[1254].start 24215.35221875
transcript.pyannote[1254].end 24217.90034375
transcript.pyannote[1255].speaker SPEAKER_13
transcript.pyannote[1255].start 24220.60034375
transcript.pyannote[1255].end 24220.61721875
transcript.pyannote[1256].speaker SPEAKER_07
transcript.pyannote[1256].start 24220.61721875
transcript.pyannote[1256].end 24221.24159375
transcript.pyannote[1257].speaker SPEAKER_13
transcript.pyannote[1257].start 24220.63409375
transcript.pyannote[1257].end 24221.07284375
transcript.pyannote[1258].speaker SPEAKER_07
transcript.pyannote[1258].start 24221.29221875
transcript.pyannote[1258].end 24225.46034375
transcript.pyannote[1259].speaker SPEAKER_07
transcript.pyannote[1259].start 24225.64596875
transcript.pyannote[1259].end 24227.65409375
transcript.pyannote[1260].speaker SPEAKER_07
transcript.pyannote[1260].start 24227.90721875
transcript.pyannote[1260].end 24228.86909375
transcript.pyannote[1261].speaker SPEAKER_19
transcript.pyannote[1261].start 24228.07596875
transcript.pyannote[1261].end 24228.12659375
transcript.pyannote[1262].speaker SPEAKER_07
transcript.pyannote[1262].start 24229.18971875
transcript.pyannote[1262].end 24232.15971875
transcript.pyannote[1263].speaker SPEAKER_07
transcript.pyannote[1263].start 24232.56471875
transcript.pyannote[1263].end 24235.83846875
transcript.pyannote[1264].speaker SPEAKER_07
transcript.pyannote[1264].start 24236.22659375
transcript.pyannote[1264].end 24238.77471875
transcript.pyannote[1265].speaker SPEAKER_07
transcript.pyannote[1265].start 24239.16284375
transcript.pyannote[1265].end 24240.73221875
transcript.pyannote[1266].speaker SPEAKER_07
transcript.pyannote[1266].start 24241.03596875
transcript.pyannote[1266].end 24242.50409375
transcript.pyannote[1267].speaker SPEAKER_07
transcript.pyannote[1267].start 24242.92596875
transcript.pyannote[1267].end 24245.99721875
transcript.pyannote[1268].speaker SPEAKER_07
transcript.pyannote[1268].start 24246.36846875
transcript.pyannote[1268].end 24249.15284375
transcript.pyannote[1269].speaker SPEAKER_07
transcript.pyannote[1269].start 24249.45659375
transcript.pyannote[1269].end 24251.19471875
transcript.pyannote[1270].speaker SPEAKER_07
transcript.pyannote[1270].start 24251.56596875
transcript.pyannote[1270].end 24252.76409375
transcript.pyannote[1271].speaker SPEAKER_07
transcript.pyannote[1271].start 24253.11846875
transcript.pyannote[1271].end 24257.62409375
transcript.pyannote[1272].speaker SPEAKER_07
transcript.pyannote[1272].start 24257.84346875
transcript.pyannote[1272].end 24258.61971875
transcript.pyannote[1273].speaker SPEAKER_07
transcript.pyannote[1273].start 24258.90659375
transcript.pyannote[1273].end 24259.85159375
transcript.pyannote[1274].speaker SPEAKER_07
transcript.pyannote[1274].start 24260.08784375
transcript.pyannote[1274].end 24262.70346875
transcript.pyannote[1275].speaker SPEAKER_07
transcript.pyannote[1275].start 24263.09159375
transcript.pyannote[1275].end 24265.18409375
transcript.pyannote[1276].speaker SPEAKER_07
transcript.pyannote[1276].start 24265.55534375
transcript.pyannote[1276].end 24267.37784375
transcript.pyannote[1277].speaker SPEAKER_07
transcript.pyannote[1277].start 24267.42846875
transcript.pyannote[1277].end 24272.27159375
transcript.pyannote[1278].speaker SPEAKER_29
transcript.pyannote[1278].start 24268.55909375
transcript.pyannote[1278].end 24268.74471875
transcript.pyannote[1279].speaker SPEAKER_29
transcript.pyannote[1279].start 24268.82909375
transcript.pyannote[1279].end 24268.87971875
transcript.pyannote[1280].speaker SPEAKER_29
transcript.pyannote[1280].start 24270.14534375
transcript.pyannote[1280].end 24270.17909375
transcript.pyannote[1281].speaker SPEAKER_13
transcript.pyannote[1281].start 24270.17909375
transcript.pyannote[1281].end 24270.58409375
transcript.pyannote[1282].speaker SPEAKER_13
transcript.pyannote[1282].start 24271.52909375
transcript.pyannote[1282].end 24280.11846875
transcript.pyannote[1283].speaker SPEAKER_13
transcript.pyannote[1283].start 24280.47284375
transcript.pyannote[1283].end 24283.59471875
transcript.pyannote[1284].speaker SPEAKER_13
transcript.pyannote[1284].start 24284.11784375
transcript.pyannote[1284].end 24319.57221875
transcript.pyannote[1285].speaker SPEAKER_13
transcript.pyannote[1285].start 24319.82534375
transcript.pyannote[1285].end 24353.86221875
transcript.pyannote[1286].speaker SPEAKER_13
transcript.pyannote[1286].start 24353.92971875
transcript.pyannote[1286].end 24366.94034375
transcript.pyannote[1287].speaker SPEAKER_13
transcript.pyannote[1287].start 24367.10909375
transcript.pyannote[1287].end 24416.99159375
transcript.pyannote[1288].speaker SPEAKER_13
transcript.pyannote[1288].start 24417.59909375
transcript.pyannote[1288].end 24427.06596875
transcript.pyannote[1289].speaker SPEAKER_17
transcript.pyannote[1289].start 24427.65659375
transcript.pyannote[1289].end 24434.89596875
transcript.pyannote[1290].speaker SPEAKER_13
transcript.pyannote[1290].start 24433.52909375
transcript.pyannote[1290].end 24433.76534375
transcript.pyannote[1291].speaker SPEAKER_13
transcript.pyannote[1291].start 24434.20409375
transcript.pyannote[1291].end 24436.26284375
transcript.pyannote[1292].speaker SPEAKER_17
transcript.pyannote[1292].start 24435.82409375
transcript.pyannote[1292].end 24440.29596875
transcript.pyannote[1293].speaker SPEAKER_17
transcript.pyannote[1293].start 24440.41409375
transcript.pyannote[1293].end 24441.47721875
transcript.pyannote[1294].speaker SPEAKER_13
transcript.pyannote[1294].start 24441.96659375
transcript.pyannote[1294].end 24443.73846875
transcript.pyannote[1295].speaker SPEAKER_17
transcript.pyannote[1295].start 24442.70909375
transcript.pyannote[1295].end 24443.48534375
transcript.pyannote[1296].speaker SPEAKER_03
transcript.pyannote[1296].start 24445.18971875
transcript.pyannote[1296].end 24446.50596875
transcript.pyannote[1297].speaker SPEAKER_03
transcript.pyannote[1297].start 24447.80534375
transcript.pyannote[1297].end 24448.80096875
transcript.pyannote[1298].speaker SPEAKER_03
transcript.pyannote[1298].start 24449.30721875
transcript.pyannote[1298].end 24450.55596875
transcript.pyannote[1299].speaker SPEAKER_28
transcript.pyannote[1299].start 24471.91971875
transcript.pyannote[1299].end 24480.37409375
transcript.pyannote[1300].speaker SPEAKER_28
transcript.pyannote[1300].start 24480.54284375
transcript.pyannote[1300].end 24480.61034375
transcript.pyannote[1301].speaker SPEAKER_03
transcript.pyannote[1301].start 24480.61034375
transcript.pyannote[1301].end 24480.82971875
transcript.pyannote[1302].speaker SPEAKER_28
transcript.pyannote[1302].start 24480.82971875
transcript.pyannote[1302].end 24480.94784375
transcript.pyannote[1303].speaker SPEAKER_03
transcript.pyannote[1303].start 24480.94784375
transcript.pyannote[1303].end 24485.16659375
transcript.pyannote[1304].speaker SPEAKER_03
transcript.pyannote[1304].start 24485.97659375
transcript.pyannote[1304].end 24487.95096875
transcript.pyannote[1305].speaker SPEAKER_28
transcript.pyannote[1305].start 24489.53721875
transcript.pyannote[1305].end 24490.07721875
transcript.pyannote[1306].speaker SPEAKER_28
transcript.pyannote[1306].start 24490.34721875
transcript.pyannote[1306].end 24491.20784375
transcript.pyannote[1307].speaker SPEAKER_28
transcript.pyannote[1307].start 24491.81534375
transcript.pyannote[1307].end 24492.50721875
transcript.pyannote[1308].speaker SPEAKER_28
transcript.pyannote[1308].start 24492.84471875
transcript.pyannote[1308].end 24494.41409375
transcript.pyannote[1309].speaker SPEAKER_28
transcript.pyannote[1309].start 24494.63346875
transcript.pyannote[1309].end 24495.86534375
transcript.pyannote[1310].speaker SPEAKER_28
transcript.pyannote[1310].start 24496.30409375
transcript.pyannote[1310].end 24497.53596875
transcript.pyannote[1311].speaker SPEAKER_28
transcript.pyannote[1311].start 24497.92409375
transcript.pyannote[1311].end 24498.95346875
transcript.pyannote[1312].speaker SPEAKER_28
transcript.pyannote[1312].start 24500.70846875
transcript.pyannote[1312].end 24509.02784375
transcript.pyannote[1313].speaker SPEAKER_25
transcript.pyannote[1313].start 24501.46784375
transcript.pyannote[1313].end 24501.65346875
transcript.pyannote[1314].speaker SPEAKER_14
transcript.pyannote[1314].start 24501.65346875
transcript.pyannote[1314].end 24501.68721875
transcript.pyannote[1315].speaker SPEAKER_25
transcript.pyannote[1315].start 24501.68721875
transcript.pyannote[1315].end 24501.75471875
transcript.pyannote[1316].speaker SPEAKER_14
transcript.pyannote[1316].start 24509.65221875
transcript.pyannote[1316].end 24510.27659375
transcript.pyannote[1317].speaker SPEAKER_14
transcript.pyannote[1317].start 24510.47909375
transcript.pyannote[1317].end 24512.50409375
transcript.pyannote[1318].speaker SPEAKER_28
transcript.pyannote[1318].start 24512.38596875
transcript.pyannote[1318].end 24519.18659375
transcript.pyannote[1319].speaker SPEAKER_14
transcript.pyannote[1319].start 24519.60846875
transcript.pyannote[1319].end 24522.07221875
transcript.pyannote[1320].speaker SPEAKER_28
transcript.pyannote[1320].start 24521.68409375
transcript.pyannote[1320].end 24548.46471875
transcript.pyannote[1321].speaker SPEAKER_28
transcript.pyannote[1321].start 24548.75159375
transcript.pyannote[1321].end 24574.87409375
transcript.pyannote[1322].speaker SPEAKER_17
transcript.pyannote[1322].start 24575.38034375
transcript.pyannote[1322].end 24577.00034375
transcript.pyannote[1323].speaker SPEAKER_17
transcript.pyannote[1323].start 24577.16909375
transcript.pyannote[1323].end 24582.56909375
transcript.pyannote[1324].speaker SPEAKER_17
transcript.pyannote[1324].start 24582.65346875
transcript.pyannote[1324].end 24591.52971875
transcript.pyannote[1325].speaker SPEAKER_28
transcript.pyannote[1325].start 24591.85034375
transcript.pyannote[1325].end 24597.28409375
transcript.pyannote[1326].speaker SPEAKER_14
transcript.pyannote[1326].start 24600.10221875
transcript.pyannote[1326].end 24601.80659375
transcript.pyannote[1327].speaker SPEAKER_14
transcript.pyannote[1327].start 24602.16096875
transcript.pyannote[1327].end 24609.77159375
transcript.pyannote[1328].speaker SPEAKER_14
transcript.pyannote[1328].start 24610.27784375
transcript.pyannote[1328].end 24614.17596875
transcript.pyannote[1329].speaker SPEAKER_14
transcript.pyannote[1329].start 24614.46284375
transcript.pyannote[1329].end 24618.42846875
transcript.pyannote[1330].speaker SPEAKER_14
transcript.pyannote[1330].start 24618.76596875
transcript.pyannote[1330].end 24625.80284375
transcript.pyannote[1331].speaker SPEAKER_14
transcript.pyannote[1331].start 24626.24159375
transcript.pyannote[1331].end 24626.68034375
transcript.pyannote[1332].speaker SPEAKER_14
transcript.pyannote[1332].start 24627.13596875
transcript.pyannote[1332].end 24629.95409375
transcript.pyannote[1333].speaker SPEAKER_14
transcript.pyannote[1333].start 24630.73034375
transcript.pyannote[1333].end 24633.37971875
transcript.pyannote[1334].speaker SPEAKER_14
transcript.pyannote[1334].start 24633.78471875
transcript.pyannote[1334].end 24636.31596875
transcript.pyannote[1335].speaker SPEAKER_14
transcript.pyannote[1335].start 24636.56909375
transcript.pyannote[1335].end 24640.70346875
transcript.pyannote[1336].speaker SPEAKER_14
transcript.pyannote[1336].start 24640.73721875
transcript.pyannote[1336].end 24642.98159375
transcript.pyannote[1337].speaker SPEAKER_14
transcript.pyannote[1337].start 24643.15034375
transcript.pyannote[1337].end 24644.95596875
transcript.pyannote[1338].speaker SPEAKER_28
transcript.pyannote[1338].start 24644.95596875
transcript.pyannote[1338].end 24645.09096875
transcript.pyannote[1339].speaker SPEAKER_14
transcript.pyannote[1339].start 24645.09096875
transcript.pyannote[1339].end 24645.12471875
transcript.pyannote[1340].speaker SPEAKER_28
transcript.pyannote[1340].start 24645.12471875
transcript.pyannote[1340].end 24645.14159375
transcript.pyannote[1341].speaker SPEAKER_28
transcript.pyannote[1341].start 24645.36096875
transcript.pyannote[1341].end 24715.03784375
transcript.pyannote[1342].speaker SPEAKER_14
transcript.pyannote[1342].start 24716.96159375
transcript.pyannote[1342].end 24719.03721875
transcript.pyannote[1343].speaker SPEAKER_14
transcript.pyannote[1343].start 24719.37471875
transcript.pyannote[1343].end 24725.23034375
transcript.pyannote[1344].speaker SPEAKER_14
transcript.pyannote[1344].start 24725.51721875
transcript.pyannote[1344].end 24728.67284375
transcript.pyannote[1345].speaker SPEAKER_14
transcript.pyannote[1345].start 24729.01034375
transcript.pyannote[1345].end 24733.65096875
transcript.pyannote[1346].speaker SPEAKER_14
transcript.pyannote[1346].start 24733.90409375
transcript.pyannote[1346].end 24737.21159375
transcript.pyannote[1347].speaker SPEAKER_28
transcript.pyannote[1347].start 24737.48159375
transcript.pyannote[1347].end 24739.82721875
transcript.pyannote[1348].speaker SPEAKER_14
transcript.pyannote[1348].start 24739.96221875
transcript.pyannote[1348].end 24741.00846875
transcript.pyannote[1349].speaker SPEAKER_14
transcript.pyannote[1349].start 24741.26159375
transcript.pyannote[1349].end 24746.29034375
transcript.pyannote[1350].speaker SPEAKER_14
transcript.pyannote[1350].start 24746.61096875
transcript.pyannote[1350].end 24749.00721875
transcript.pyannote[1351].speaker SPEAKER_14
transcript.pyannote[1351].start 24749.19284375
transcript.pyannote[1351].end 24754.35659375
transcript.pyannote[1352].speaker SPEAKER_28
transcript.pyannote[1352].start 24754.62659375
transcript.pyannote[1352].end 24756.14534375
transcript.pyannote[1353].speaker SPEAKER_28
transcript.pyannote[1353].start 24756.43221875
transcript.pyannote[1353].end 24759.35159375
transcript.pyannote[1354].speaker SPEAKER_28
transcript.pyannote[1354].start 24759.62159375
transcript.pyannote[1354].end 24760.26284375
transcript.pyannote[1355].speaker SPEAKER_28
transcript.pyannote[1355].start 24760.49909375
transcript.pyannote[1355].end 24765.02159375
transcript.pyannote[1356].speaker SPEAKER_28
transcript.pyannote[1356].start 24765.10596875
transcript.pyannote[1356].end 24765.57846875
transcript.pyannote[1357].speaker SPEAKER_28
transcript.pyannote[1357].start 24765.88221875
transcript.pyannote[1357].end 24766.69221875
transcript.pyannote[1358].speaker SPEAKER_28
transcript.pyannote[1358].start 24766.97909375
transcript.pyannote[1358].end 24770.21909375
transcript.pyannote[1359].speaker SPEAKER_28
transcript.pyannote[1359].start 24770.37096875
transcript.pyannote[1359].end 24775.72034375
transcript.pyannote[1360].speaker SPEAKER_28
transcript.pyannote[1360].start 24775.99034375
transcript.pyannote[1360].end 24779.87159375
transcript.pyannote[1361].speaker SPEAKER_28
transcript.pyannote[1361].start 24780.20909375
transcript.pyannote[1361].end 24804.45846875
transcript.pyannote[1362].speaker SPEAKER_17
transcript.pyannote[1362].start 24804.67784375
transcript.pyannote[1362].end 24809.09909375
transcript.pyannote[1363].speaker SPEAKER_17
transcript.pyannote[1363].start 24809.36909375
transcript.pyannote[1363].end 24810.90471875
transcript.pyannote[1364].speaker SPEAKER_17
transcript.pyannote[1364].start 24811.15784375
transcript.pyannote[1364].end 24820.08471875
transcript.pyannote[1365].speaker SPEAKER_17
transcript.pyannote[1365].start 24820.55721875
transcript.pyannote[1365].end 24829.45034375
transcript.pyannote[1366].speaker SPEAKER_28
transcript.pyannote[1366].start 24830.41221875
transcript.pyannote[1366].end 24830.69909375
transcript.pyannote[1367].speaker SPEAKER_28
transcript.pyannote[1367].start 24830.96909375
transcript.pyannote[1367].end 24833.31471875
transcript.pyannote[1368].speaker SPEAKER_28
transcript.pyannote[1368].start 24833.80409375
transcript.pyannote[1368].end 24852.90659375
transcript.pyannote[1369].speaker SPEAKER_28
transcript.pyannote[1369].start 24852.97409375
transcript.pyannote[1369].end 24853.02471875
transcript.pyannote[1370].speaker SPEAKER_28
transcript.pyannote[1370].start 24853.05846875
transcript.pyannote[1370].end 24855.85971875
transcript.pyannote[1371].speaker SPEAKER_28
transcript.pyannote[1371].start 24856.21409375
transcript.pyannote[1371].end 24858.42471875
transcript.pyannote[1372].speaker SPEAKER_28
transcript.pyannote[1372].start 24866.99721875
transcript.pyannote[1372].end 24867.53721875
transcript.pyannote[1373].speaker SPEAKER_25
transcript.pyannote[1373].start 24867.53721875
transcript.pyannote[1373].end 24867.85784375
transcript.pyannote[1374].speaker SPEAKER_28
transcript.pyannote[1374].start 24867.65534375
transcript.pyannote[1374].end 24870.10221875
transcript.pyannote[1375].speaker SPEAKER_28
transcript.pyannote[1375].start 24870.32159375
transcript.pyannote[1375].end 24907.61534375
transcript.pyannote[1376].speaker SPEAKER_17
transcript.pyannote[1376].start 24908.25659375
transcript.pyannote[1376].end 24911.78346875
transcript.pyannote[1377].speaker SPEAKER_17
transcript.pyannote[1377].start 24911.93534375
transcript.pyannote[1377].end 24918.07784375
transcript.pyannote[1378].speaker SPEAKER_17
transcript.pyannote[1378].start 24918.11159375
transcript.pyannote[1378].end 24919.02284375
transcript.pyannote[1379].speaker SPEAKER_06
transcript.pyannote[1379].start 24918.14534375
transcript.pyannote[1379].end 24919.36034375
transcript.pyannote[1380].speaker SPEAKER_07
transcript.pyannote[1380].start 24919.02284375
transcript.pyannote[1380].end 24919.34346875
transcript.pyannote[1381].speaker SPEAKER_17
transcript.pyannote[1381].start 24919.36034375
transcript.pyannote[1381].end 24919.63034375
transcript.pyannote[1382].speaker SPEAKER_07
transcript.pyannote[1382].start 24919.63034375
transcript.pyannote[1382].end 24927.20721875
transcript.pyannote[1383].speaker SPEAKER_07
transcript.pyannote[1383].start 24927.56159375
transcript.pyannote[1383].end 24931.86471875
transcript.pyannote[1384].speaker SPEAKER_07
transcript.pyannote[1384].start 24932.18534375
transcript.pyannote[1384].end 24934.34534375
transcript.pyannote[1385].speaker SPEAKER_07
transcript.pyannote[1385].start 24934.66596875
transcript.pyannote[1385].end 24936.84284375
transcript.pyannote[1386].speaker SPEAKER_07
transcript.pyannote[1386].start 24937.21409375
transcript.pyannote[1386].end 24940.38659375
transcript.pyannote[1387].speaker SPEAKER_07
transcript.pyannote[1387].start 24940.75784375
transcript.pyannote[1387].end 24942.17534375
transcript.pyannote[1388].speaker SPEAKER_07
transcript.pyannote[1388].start 24942.47909375
transcript.pyannote[1388].end 24944.41971875
transcript.pyannote[1389].speaker SPEAKER_07
transcript.pyannote[1389].start 24944.70659375
transcript.pyannote[1389].end 24946.10721875
transcript.pyannote[1390].speaker SPEAKER_07
transcript.pyannote[1390].start 24946.59659375
transcript.pyannote[1390].end 24949.39784375
transcript.pyannote[1391].speaker SPEAKER_07
transcript.pyannote[1391].start 24949.63409375
transcript.pyannote[1391].end 24955.65846875
transcript.pyannote[1392].speaker SPEAKER_28
transcript.pyannote[1392].start 24956.29971875
transcript.pyannote[1392].end 24960.04596875
transcript.pyannote[1393].speaker SPEAKER_28
transcript.pyannote[1393].start 24960.51846875
transcript.pyannote[1393].end 24986.91096875
transcript.pyannote[1394].speaker SPEAKER_17
transcript.pyannote[1394].start 24987.23159375
transcript.pyannote[1394].end 24991.99034375
transcript.pyannote[1395].speaker SPEAKER_17
transcript.pyannote[1395].start 24992.31096875
transcript.pyannote[1395].end 24994.01534375
transcript.pyannote[1396].speaker SPEAKER_17
transcript.pyannote[1396].start 24994.58909375
transcript.pyannote[1396].end 24997.27221875
transcript.pyannote[1397].speaker SPEAKER_28
transcript.pyannote[1397].start 24997.27221875
transcript.pyannote[1397].end 24999.66846875
transcript.pyannote[1398].speaker SPEAKER_28
transcript.pyannote[1398].start 25000.47846875
transcript.pyannote[1398].end 25000.49534375
transcript.pyannote[1399].speaker SPEAKER_07
transcript.pyannote[1399].start 25000.49534375
transcript.pyannote[1399].end 25006.26659375
transcript.pyannote[1400].speaker SPEAKER_28
transcript.pyannote[1400].start 25000.57971875
transcript.pyannote[1400].end 25001.30534375
transcript.pyannote[1401].speaker SPEAKER_28
transcript.pyannote[1401].start 25006.26659375
transcript.pyannote[1401].end 25013.82659375
transcript.pyannote[1402].speaker SPEAKER_17
transcript.pyannote[1402].start 25010.92409375
transcript.pyannote[1402].end 25010.99159375
transcript.pyannote[1403].speaker SPEAKER_25
transcript.pyannote[1403].start 25010.99159375
transcript.pyannote[1403].end 25011.02534375
transcript.pyannote[1404].speaker SPEAKER_17
transcript.pyannote[1404].start 25011.02534375
transcript.pyannote[1404].end 25011.04221875
transcript.pyannote[1405].speaker SPEAKER_28
transcript.pyannote[1405].start 25013.99534375
transcript.pyannote[1405].end 25014.02909375
transcript.pyannote[1406].speaker SPEAKER_28
transcript.pyannote[1406].start 25014.07971875
transcript.pyannote[1406].end 25016.32409375
transcript.pyannote[1407].speaker SPEAKER_17
transcript.pyannote[1407].start 25017.48846875
transcript.pyannote[1407].end 25020.23909375
transcript.pyannote[1408].speaker SPEAKER_17
transcript.pyannote[1408].start 25020.34034375
transcript.pyannote[1408].end 25029.73971875
transcript.pyannote[1409].speaker SPEAKER_17
transcript.pyannote[1409].start 25030.00971875
transcript.pyannote[1409].end 25031.57909375
transcript.pyannote[1410].speaker SPEAKER_28
transcript.pyannote[1410].start 25031.89971875
transcript.pyannote[1410].end 25063.62471875
transcript.pyannote[1411].speaker SPEAKER_28
transcript.pyannote[1411].start 25063.74284375
transcript.pyannote[1411].end 25065.59909375
transcript.pyannote[1412].speaker SPEAKER_28
transcript.pyannote[1412].start 25066.83096875
transcript.pyannote[1412].end 25098.99471875
transcript.pyannote[1413].speaker SPEAKER_28
transcript.pyannote[1413].start 25099.29846875
transcript.pyannote[1413].end 25100.68221875
transcript.pyannote[1414].speaker SPEAKER_28
transcript.pyannote[1414].start 25100.81721875
transcript.pyannote[1414].end 25101.74534375
transcript.pyannote[1415].speaker SPEAKER_28
transcript.pyannote[1415].start 25102.33596875
transcript.pyannote[1415].end 25104.10784375
transcript.pyannote[1416].speaker SPEAKER_28
transcript.pyannote[1416].start 25104.56346875
transcript.pyannote[1416].end 25119.37971875
transcript.pyannote[1417].speaker SPEAKER_28
transcript.pyannote[1417].start 25119.64971875
transcript.pyannote[1417].end 25122.23159375
transcript.pyannote[1418].speaker SPEAKER_28
transcript.pyannote[1418].start 25122.43409375
transcript.pyannote[1418].end 25123.86846875
transcript.pyannote[1419].speaker SPEAKER_28
transcript.pyannote[1419].start 25123.96971875
transcript.pyannote[1419].end 25129.04909375
transcript.pyannote[1420].speaker SPEAKER_28
transcript.pyannote[1420].start 25129.33596875
transcript.pyannote[1420].end 25148.69159375
transcript.pyannote[1421].speaker SPEAKER_28
transcript.pyannote[1421].start 25149.04596875
transcript.pyannote[1421].end 25151.17221875
transcript.pyannote[1422].speaker SPEAKER_28
transcript.pyannote[1422].start 25151.44221875
transcript.pyannote[1422].end 25157.41596875
transcript.pyannote[1423].speaker SPEAKER_17
transcript.pyannote[1423].start 25157.77034375
transcript.pyannote[1423].end 25159.03596875
transcript.pyannote[1424].speaker SPEAKER_07
transcript.pyannote[1424].start 25159.03596875
transcript.pyannote[1424].end 25162.24221875
transcript.pyannote[1425].speaker SPEAKER_28
transcript.pyannote[1425].start 25160.57159375
transcript.pyannote[1425].end 25160.80784375
transcript.pyannote[1426].speaker SPEAKER_17
transcript.pyannote[1426].start 25160.80784375
transcript.pyannote[1426].end 25160.94284375
transcript.pyannote[1427].speaker SPEAKER_07
transcript.pyannote[1427].start 25162.49534375
transcript.pyannote[1427].end 25163.55846875
transcript.pyannote[1428].speaker SPEAKER_07
transcript.pyannote[1428].start 25163.89596875
transcript.pyannote[1428].end 25167.67596875
transcript.pyannote[1429].speaker SPEAKER_07
transcript.pyannote[1429].start 25167.86159375
transcript.pyannote[1429].end 25169.00909375
transcript.pyannote[1430].speaker SPEAKER_07
transcript.pyannote[1430].start 25169.46471875
transcript.pyannote[1430].end 25173.05909375
transcript.pyannote[1431].speaker SPEAKER_07
transcript.pyannote[1431].start 25173.31221875
transcript.pyannote[1431].end 25176.16409375
transcript.pyannote[1432].speaker SPEAKER_28
transcript.pyannote[1432].start 25175.96159375
transcript.pyannote[1432].end 25200.75096875
transcript.pyannote[1433].speaker SPEAKER_07
transcript.pyannote[1433].start 25178.44221875
transcript.pyannote[1433].end 25178.96534375
transcript.pyannote[1434].speaker SPEAKER_07
transcript.pyannote[1434].start 25198.01721875
transcript.pyannote[1434].end 25198.55721875
transcript.pyannote[1435].speaker SPEAKER_07
transcript.pyannote[1435].start 25199.65409375
transcript.pyannote[1435].end 25213.86284375
transcript.pyannote[1436].speaker SPEAKER_28
transcript.pyannote[1436].start 25213.99784375
transcript.pyannote[1436].end 25225.27034375
transcript.pyannote[1437].speaker SPEAKER_17
transcript.pyannote[1437].start 25225.37159375
transcript.pyannote[1437].end 25241.94284375
transcript.pyannote[1438].speaker SPEAKER_17
transcript.pyannote[1438].start 25242.44909375
transcript.pyannote[1438].end 25245.40221875
transcript.pyannote[1439].speaker SPEAKER_28
transcript.pyannote[1439].start 25245.75659375
transcript.pyannote[1439].end 25258.78409375
transcript.pyannote[1440].speaker SPEAKER_28
transcript.pyannote[1440].start 25259.18909375
transcript.pyannote[1440].end 25279.87784375
transcript.pyannote[1441].speaker SPEAKER_28
transcript.pyannote[1441].start 25280.11409375
transcript.pyannote[1441].end 25282.02096875
transcript.pyannote[1442].speaker SPEAKER_28
transcript.pyannote[1442].start 25282.25721875
transcript.pyannote[1442].end 25308.27846875
transcript.pyannote[1443].speaker SPEAKER_28
transcript.pyannote[1443].start 25309.05471875
transcript.pyannote[1443].end 25311.56909375
transcript.pyannote[1444].speaker SPEAKER_28
transcript.pyannote[1444].start 25312.71659375
transcript.pyannote[1444].end 25314.42096875
transcript.pyannote[1445].speaker SPEAKER_28
transcript.pyannote[1445].start 25314.99471875
transcript.pyannote[1445].end 25325.06909375
transcript.pyannote[1446].speaker SPEAKER_28
transcript.pyannote[1446].start 25325.15346875
transcript.pyannote[1446].end 25362.95346875
transcript.pyannote[1447].speaker SPEAKER_28
transcript.pyannote[1447].start 25363.34159375
transcript.pyannote[1447].end 25364.11784375
transcript.pyannote[1448].speaker SPEAKER_28
transcript.pyannote[1448].start 25364.94471875
transcript.pyannote[1448].end 25382.46096875
transcript.pyannote[1449].speaker SPEAKER_16
transcript.pyannote[1449].start 25372.72409375
transcript.pyannote[1449].end 25373.02784375
transcript.pyannote[1450].speaker SPEAKER_25
transcript.pyannote[1450].start 25373.02784375
transcript.pyannote[1450].end 25373.28096875
transcript.pyannote[1451].speaker SPEAKER_16
transcript.pyannote[1451].start 25373.28096875
transcript.pyannote[1451].end 25373.44971875
transcript.pyannote[1452].speaker SPEAKER_28
transcript.pyannote[1452].start 25383.03471875
transcript.pyannote[1452].end 25384.01346875
transcript.pyannote[1453].speaker SPEAKER_28
transcript.pyannote[1453].start 25384.23284375
transcript.pyannote[1453].end 25393.26096875
transcript.pyannote[1454].speaker SPEAKER_17
transcript.pyannote[1454].start 25393.68284375
transcript.pyannote[1454].end 25398.45846875
transcript.pyannote[1455].speaker SPEAKER_28
transcript.pyannote[1455].start 25396.06221875
transcript.pyannote[1455].end 25397.22659375
transcript.pyannote[1456].speaker SPEAKER_03
transcript.pyannote[1456].start 25403.38596875
transcript.pyannote[1456].end 25406.06909375
transcript.pyannote[1457].speaker SPEAKER_03
transcript.pyannote[1457].start 25406.65971875
transcript.pyannote[1457].end 25407.92534375
transcript.pyannote[1458].speaker SPEAKER_03
transcript.pyannote[1458].start 25408.60034375
transcript.pyannote[1458].end 25412.16096875
transcript.pyannote[1459].speaker SPEAKER_20
transcript.pyannote[1459].start 25422.43784375
transcript.pyannote[1459].end 25423.36596875
transcript.pyannote[1460].speaker SPEAKER_20
transcript.pyannote[1460].start 25424.20971875
transcript.pyannote[1460].end 25426.53846875
transcript.pyannote[1461].speaker SPEAKER_20
transcript.pyannote[1461].start 25427.28096875
transcript.pyannote[1461].end 25429.39034375
transcript.pyannote[1462].speaker SPEAKER_03
transcript.pyannote[1462].start 25427.95596875
transcript.pyannote[1462].end 25428.14159375
transcript.pyannote[1463].speaker SPEAKER_03
transcript.pyannote[1463].start 25429.39034375
transcript.pyannote[1463].end 25429.40721875
transcript.pyannote[1464].speaker SPEAKER_03
transcript.pyannote[1464].start 25430.35221875
transcript.pyannote[1464].end 25431.44909375
transcript.pyannote[1465].speaker SPEAKER_20
transcript.pyannote[1465].start 25439.95409375
transcript.pyannote[1465].end 25442.41784375
transcript.pyannote[1466].speaker SPEAKER_17
transcript.pyannote[1466].start 25440.98346875
transcript.pyannote[1466].end 25441.48971875
transcript.pyannote[1467].speaker SPEAKER_20
transcript.pyannote[1467].start 25443.32909375
transcript.pyannote[1467].end 25443.63284375
transcript.pyannote[1468].speaker SPEAKER_20
transcript.pyannote[1468].start 25444.25721875
transcript.pyannote[1468].end 25448.42534375
transcript.pyannote[1469].speaker SPEAKER_20
transcript.pyannote[1469].start 25449.16784375
transcript.pyannote[1469].end 25452.35721875
transcript.pyannote[1470].speaker SPEAKER_20
transcript.pyannote[1470].start 25452.88034375
transcript.pyannote[1470].end 25458.09471875
transcript.pyannote[1471].speaker SPEAKER_20
transcript.pyannote[1471].start 25459.96784375
transcript.pyannote[1471].end 25463.69721875
transcript.pyannote[1472].speaker SPEAKER_20
transcript.pyannote[1472].start 25464.01784375
transcript.pyannote[1472].end 25465.09784375
transcript.pyannote[1473].speaker SPEAKER_20
transcript.pyannote[1473].start 25466.04284375
transcript.pyannote[1473].end 25466.32971875
transcript.pyannote[1474].speaker SPEAKER_20
transcript.pyannote[1474].start 25466.44784375
transcript.pyannote[1474].end 25467.56159375
transcript.pyannote[1475].speaker SPEAKER_20
transcript.pyannote[1475].start 25467.79784375
transcript.pyannote[1475].end 25469.80596875
transcript.pyannote[1476].speaker SPEAKER_20
transcript.pyannote[1476].start 25470.93659375
transcript.pyannote[1476].end 25471.88159375
transcript.pyannote[1477].speaker SPEAKER_20
transcript.pyannote[1477].start 25472.65784375
transcript.pyannote[1477].end 25473.65346875
transcript.pyannote[1478].speaker SPEAKER_20
transcript.pyannote[1478].start 25473.99096875
transcript.pyannote[1478].end 25477.51784375
transcript.pyannote[1479].speaker SPEAKER_20
transcript.pyannote[1479].start 25478.14221875
transcript.pyannote[1479].end 25478.71596875
transcript.pyannote[1480].speaker SPEAKER_20
transcript.pyannote[1480].start 25479.42471875
transcript.pyannote[1480].end 25479.99846875
transcript.pyannote[1481].speaker SPEAKER_20
transcript.pyannote[1481].start 25480.50471875
transcript.pyannote[1481].end 25481.63534375
transcript.pyannote[1482].speaker SPEAKER_20
transcript.pyannote[1482].start 25481.95596875
transcript.pyannote[1482].end 25483.76159375
transcript.pyannote[1483].speaker SPEAKER_20
transcript.pyannote[1483].start 25483.96409375
transcript.pyannote[1483].end 25486.66409375
transcript.pyannote[1484].speaker SPEAKER_25
transcript.pyannote[1484].start 25486.79909375
transcript.pyannote[1484].end 25486.81596875
transcript.pyannote[1485].speaker SPEAKER_20
transcript.pyannote[1485].start 25486.81596875
transcript.pyannote[1485].end 25488.60471875
transcript.pyannote[1486].speaker SPEAKER_20
transcript.pyannote[1486].start 25489.38096875
transcript.pyannote[1486].end 25491.08534375
transcript.pyannote[1487].speaker SPEAKER_20
transcript.pyannote[1487].start 25492.14846875
transcript.pyannote[1487].end 25493.92034375
transcript.pyannote[1488].speaker SPEAKER_20
transcript.pyannote[1488].start 25494.00471875
transcript.pyannote[1488].end 25497.07596875
transcript.pyannote[1489].speaker SPEAKER_20
transcript.pyannote[1489].start 25497.16034375
transcript.pyannote[1489].end 25498.12221875
transcript.pyannote[1490].speaker SPEAKER_20
transcript.pyannote[1490].start 25498.59471875
transcript.pyannote[1490].end 25500.04596875
transcript.pyannote[1491].speaker SPEAKER_20
transcript.pyannote[1491].start 25500.55221875
transcript.pyannote[1491].end 25503.28596875
transcript.pyannote[1492].speaker SPEAKER_20
transcript.pyannote[1492].start 25504.45034375
transcript.pyannote[1492].end 25507.79159375
transcript.pyannote[1493].speaker SPEAKER_20
transcript.pyannote[1493].start 25508.93909375
transcript.pyannote[1493].end 25509.61409375
transcript.pyannote[1494].speaker SPEAKER_20
transcript.pyannote[1494].start 25509.98534375
transcript.pyannote[1494].end 25513.39409375
transcript.pyannote[1495].speaker SPEAKER_20
transcript.pyannote[1495].start 25514.06909375
transcript.pyannote[1495].end 25517.37659375
transcript.pyannote[1496].speaker SPEAKER_20
transcript.pyannote[1496].start 25518.35534375
transcript.pyannote[1496].end 25519.57034375
transcript.pyannote[1497].speaker SPEAKER_20
transcript.pyannote[1497].start 25521.17346875
transcript.pyannote[1497].end 25524.49784375
transcript.pyannote[1498].speaker SPEAKER_20
transcript.pyannote[1498].start 25524.75096875
transcript.pyannote[1498].end 25526.05034375
transcript.pyannote[1499].speaker SPEAKER_20
transcript.pyannote[1499].start 25526.74221875
transcript.pyannote[1499].end 25531.41659375
transcript.pyannote[1500].speaker SPEAKER_17
transcript.pyannote[1500].start 25531.41659375
transcript.pyannote[1500].end 25531.43346875
transcript.pyannote[1501].speaker SPEAKER_20
transcript.pyannote[1501].start 25531.75409375
transcript.pyannote[1501].end 25533.03659375
transcript.pyannote[1502].speaker SPEAKER_17
transcript.pyannote[1502].start 25533.03659375
transcript.pyannote[1502].end 25533.57659375
transcript.pyannote[1503].speaker SPEAKER_20
transcript.pyannote[1503].start 25533.96471875
transcript.pyannote[1503].end 25533.99846875
transcript.pyannote[1504].speaker SPEAKER_17
transcript.pyannote[1504].start 25533.99846875
transcript.pyannote[1504].end 25534.82534375
transcript.pyannote[1505].speaker SPEAKER_17
transcript.pyannote[1505].start 25535.14596875
transcript.pyannote[1505].end 25538.84159375
transcript.pyannote[1506].speaker SPEAKER_17
transcript.pyannote[1506].start 25538.95971875
transcript.pyannote[1506].end 25540.22534375
transcript.pyannote[1507].speaker SPEAKER_17
transcript.pyannote[1507].start 25540.27596875
transcript.pyannote[1507].end 25541.32221875
transcript.pyannote[1508].speaker SPEAKER_17
transcript.pyannote[1508].start 25541.40659375
transcript.pyannote[1508].end 25542.94221875
transcript.pyannote[1509].speaker SPEAKER_17
transcript.pyannote[1509].start 25543.39784375
transcript.pyannote[1509].end 25544.41034375
transcript.pyannote[1510].speaker SPEAKER_17
transcript.pyannote[1510].start 25544.61284375
transcript.pyannote[1510].end 25545.54096875
transcript.pyannote[1511].speaker SPEAKER_17
transcript.pyannote[1511].start 25546.03034375
transcript.pyannote[1511].end 25554.77159375
transcript.pyannote[1512].speaker SPEAKER_17
transcript.pyannote[1512].start 25555.29471875
transcript.pyannote[1512].end 25559.26034375
transcript.pyannote[1513].speaker SPEAKER_17
transcript.pyannote[1513].start 25559.83409375
transcript.pyannote[1513].end 25560.84659375
transcript.pyannote[1514].speaker SPEAKER_17
transcript.pyannote[1514].start 25560.91409375
transcript.pyannote[1514].end 25575.19034375
transcript.pyannote[1515].speaker SPEAKER_20
transcript.pyannote[1515].start 25575.19034375
transcript.pyannote[1515].end 25575.22409375
transcript.pyannote[1516].speaker SPEAKER_17
transcript.pyannote[1516].start 25575.98346875
transcript.pyannote[1516].end 25576.00034375
transcript.pyannote[1517].speaker SPEAKER_20
transcript.pyannote[1517].start 25576.00034375
transcript.pyannote[1517].end 25579.59471875
transcript.pyannote[1518].speaker SPEAKER_20
transcript.pyannote[1518].start 25580.06721875
transcript.pyannote[1518].end 25581.58596875
transcript.pyannote[1519].speaker SPEAKER_20
transcript.pyannote[1519].start 25582.36221875
transcript.pyannote[1519].end 25584.62346875
transcript.pyannote[1520].speaker SPEAKER_20
transcript.pyannote[1520].start 25585.48409375
transcript.pyannote[1520].end 25585.77096875
transcript.pyannote[1521].speaker SPEAKER_20
transcript.pyannote[1521].start 25586.12534375
transcript.pyannote[1521].end 25587.35721875
transcript.pyannote[1522].speaker SPEAKER_25
transcript.pyannote[1522].start 25587.59346875
transcript.pyannote[1522].end 25587.81284375
transcript.pyannote[1523].speaker SPEAKER_20
transcript.pyannote[1523].start 25588.89284375
transcript.pyannote[1523].end 25589.70284375
transcript.pyannote[1524].speaker SPEAKER_20
transcript.pyannote[1524].start 25590.31034375
transcript.pyannote[1524].end 25592.14971875
transcript.pyannote[1525].speaker SPEAKER_20
transcript.pyannote[1525].start 25592.36909375
transcript.pyannote[1525].end 25593.31409375
transcript.pyannote[1526].speaker SPEAKER_20
transcript.pyannote[1526].start 25593.85409375
transcript.pyannote[1526].end 25596.11534375
transcript.pyannote[1527].speaker SPEAKER_20
transcript.pyannote[1527].start 25597.14471875
transcript.pyannote[1527].end 25598.66346875
transcript.pyannote[1528].speaker SPEAKER_20
transcript.pyannote[1528].start 25599.18659375
transcript.pyannote[1528].end 25601.26221875
transcript.pyannote[1529].speaker SPEAKER_20
transcript.pyannote[1529].start 25601.39721875
transcript.pyannote[1529].end 25602.98346875
transcript.pyannote[1530].speaker SPEAKER_20
transcript.pyannote[1530].start 25603.59096875
transcript.pyannote[1530].end 25604.56971875
transcript.pyannote[1531].speaker SPEAKER_20
transcript.pyannote[1531].start 25604.63721875
transcript.pyannote[1531].end 25606.74659375
transcript.pyannote[1532].speaker SPEAKER_20
transcript.pyannote[1532].start 25607.32034375
transcript.pyannote[1532].end 25610.34096875
transcript.pyannote[1533].speaker SPEAKER_20
transcript.pyannote[1533].start 25610.94846875
transcript.pyannote[1533].end 25612.58534375
transcript.pyannote[1534].speaker SPEAKER_20
transcript.pyannote[1534].start 25613.02409375
transcript.pyannote[1534].end 25617.54659375
transcript.pyannote[1535].speaker SPEAKER_20
transcript.pyannote[1535].start 25618.93034375
transcript.pyannote[1535].end 25622.22096875
transcript.pyannote[1536].speaker SPEAKER_20
transcript.pyannote[1536].start 25622.91284375
transcript.pyannote[1536].end 25623.85784375
transcript.pyannote[1537].speaker SPEAKER_20
transcript.pyannote[1537].start 25624.51596875
transcript.pyannote[1537].end 25626.89534375
transcript.pyannote[1538].speaker SPEAKER_20
transcript.pyannote[1538].start 25628.16096875
transcript.pyannote[1538].end 25629.83159375
transcript.pyannote[1539].speaker SPEAKER_20
transcript.pyannote[1539].start 25630.10159375
transcript.pyannote[1539].end 25631.16471875
transcript.pyannote[1540].speaker SPEAKER_20
transcript.pyannote[1540].start 25631.73846875
transcript.pyannote[1540].end 25632.22784375
transcript.pyannote[1541].speaker SPEAKER_20
transcript.pyannote[1541].start 25632.46409375
transcript.pyannote[1541].end 25634.06721875
transcript.pyannote[1542].speaker SPEAKER_20
transcript.pyannote[1542].start 25635.11346875
transcript.pyannote[1542].end 25638.48846875
transcript.pyannote[1543].speaker SPEAKER_20
transcript.pyannote[1543].start 25638.80909375
transcript.pyannote[1543].end 25642.55534375
transcript.pyannote[1544].speaker SPEAKER_20
transcript.pyannote[1544].start 25643.43284375
transcript.pyannote[1544].end 25644.05721875
transcript.pyannote[1545].speaker SPEAKER_20
transcript.pyannote[1545].start 25644.07409375
transcript.pyannote[1545].end 25651.14471875
transcript.pyannote[1546].speaker SPEAKER_20
transcript.pyannote[1546].start 25651.63409375
transcript.pyannote[1546].end 25652.57909375
transcript.pyannote[1547].speaker SPEAKER_20
transcript.pyannote[1547].start 25652.88284375
transcript.pyannote[1547].end 25653.81096875
transcript.pyannote[1548].speaker SPEAKER_20
transcript.pyannote[1548].start 25654.36784375
transcript.pyannote[1548].end 25656.03846875
transcript.pyannote[1549].speaker SPEAKER_20
transcript.pyannote[1549].start 25656.67971875
transcript.pyannote[1549].end 25660.27409375
transcript.pyannote[1550].speaker SPEAKER_20
transcript.pyannote[1550].start 25661.37096875
transcript.pyannote[1550].end 25663.69971875
transcript.pyannote[1551].speaker SPEAKER_20
transcript.pyannote[1551].start 25663.80096875
transcript.pyannote[1551].end 25668.45846875
transcript.pyannote[1552].speaker SPEAKER_20
transcript.pyannote[1552].start 25668.66096875
transcript.pyannote[1552].end 25672.22159375
transcript.pyannote[1553].speaker SPEAKER_20
transcript.pyannote[1553].start 25672.60971875
transcript.pyannote[1553].end 25674.04409375
transcript.pyannote[1554].speaker SPEAKER_20
transcript.pyannote[1554].start 25674.49971875
transcript.pyannote[1554].end 25676.65971875
transcript.pyannote[1555].speaker SPEAKER_20
transcript.pyannote[1555].start 25677.06471875
transcript.pyannote[1555].end 25677.70596875
transcript.pyannote[1556].speaker SPEAKER_20
transcript.pyannote[1556].start 25677.84096875
transcript.pyannote[1556].end 25684.30409375
transcript.pyannote[1557].speaker SPEAKER_20
transcript.pyannote[1557].start 25684.59096875
transcript.pyannote[1557].end 25688.43846875
transcript.pyannote[1558].speaker SPEAKER_20
transcript.pyannote[1558].start 25688.67471875
transcript.pyannote[1558].end 25695.03659375
transcript.pyannote[1559].speaker SPEAKER_17
transcript.pyannote[1559].start 25695.03659375
transcript.pyannote[1559].end 25697.16284375
transcript.pyannote[1560].speaker SPEAKER_17
transcript.pyannote[1560].start 25697.53409375
transcript.pyannote[1560].end 25698.15846875
transcript.pyannote[1561].speaker SPEAKER_17
transcript.pyannote[1561].start 25698.25971875
transcript.pyannote[1561].end 25701.88784375
transcript.pyannote[1562].speaker SPEAKER_17
transcript.pyannote[1562].start 25702.20846875
transcript.pyannote[1562].end 25707.10221875
transcript.pyannote[1563].speaker SPEAKER_20
transcript.pyannote[1563].start 25707.10221875
transcript.pyannote[1563].end 25707.11909375
transcript.pyannote[1564].speaker SPEAKER_17
transcript.pyannote[1564].start 25707.38909375
transcript.pyannote[1564].end 25708.23284375
transcript.pyannote[1565].speaker SPEAKER_20
transcript.pyannote[1565].start 25708.23284375
transcript.pyannote[1565].end 25708.24971875
transcript.pyannote[1566].speaker SPEAKER_17
transcript.pyannote[1566].start 25708.82346875
transcript.pyannote[1566].end 25708.97534375
transcript.pyannote[1567].speaker SPEAKER_20
transcript.pyannote[1567].start 25708.97534375
transcript.pyannote[1567].end 25715.82659375
transcript.pyannote[1568].speaker SPEAKER_20
transcript.pyannote[1568].start 25716.21471875
transcript.pyannote[1568].end 25719.57284375
transcript.pyannote[1569].speaker SPEAKER_20
transcript.pyannote[1569].start 25719.70784375
transcript.pyannote[1569].end 25721.53034375
transcript.pyannote[1570].speaker SPEAKER_20
transcript.pyannote[1570].start 25721.95221875
transcript.pyannote[1570].end 25726.01909375
transcript.pyannote[1571].speaker SPEAKER_20
transcript.pyannote[1571].start 25726.82909375
transcript.pyannote[1571].end 25730.05221875
transcript.pyannote[1572].speaker SPEAKER_20
transcript.pyannote[1572].start 25730.69346875
transcript.pyannote[1572].end 25731.06471875
transcript.pyannote[1573].speaker SPEAKER_20
transcript.pyannote[1573].start 25731.65534375
transcript.pyannote[1573].end 25732.31346875
transcript.pyannote[1574].speaker SPEAKER_20
transcript.pyannote[1574].start 25732.56659375
transcript.pyannote[1574].end 25733.59596875
transcript.pyannote[1575].speaker SPEAKER_20
transcript.pyannote[1575].start 25733.79846875
transcript.pyannote[1575].end 25734.00096875
transcript.pyannote[1576].speaker SPEAKER_20
transcript.pyannote[1576].start 25734.15284375
transcript.pyannote[1576].end 25736.09346875
transcript.pyannote[1577].speaker SPEAKER_20
transcript.pyannote[1577].start 25736.46471875
transcript.pyannote[1577].end 25740.07596875
transcript.pyannote[1578].speaker SPEAKER_20
transcript.pyannote[1578].start 25740.37971875
transcript.pyannote[1578].end 25741.42596875
transcript.pyannote[1579].speaker SPEAKER_20
transcript.pyannote[1579].start 25741.57784375
transcript.pyannote[1579].end 25742.75909375
transcript.pyannote[1580].speaker SPEAKER_20
transcript.pyannote[1580].start 25743.72096875
transcript.pyannote[1580].end 25750.74096875
transcript.pyannote[1581].speaker SPEAKER_20
transcript.pyannote[1581].start 25751.06159375
transcript.pyannote[1581].end 25751.38221875
transcript.pyannote[1582].speaker SPEAKER_20
transcript.pyannote[1582].start 25751.41596875
transcript.pyannote[1582].end 25752.88409375
transcript.pyannote[1583].speaker SPEAKER_20
transcript.pyannote[1583].start 25752.91784375
transcript.pyannote[1583].end 25754.18346875
transcript.pyannote[1584].speaker SPEAKER_20
transcript.pyannote[1584].start 25754.94284375
transcript.pyannote[1584].end 25755.55034375
transcript.pyannote[1585].speaker SPEAKER_20
transcript.pyannote[1585].start 25756.42784375
transcript.pyannote[1585].end 25761.67596875
transcript.pyannote[1586].speaker SPEAKER_20
transcript.pyannote[1586].start 25762.11471875
transcript.pyannote[1586].end 25763.97096875
transcript.pyannote[1587].speaker SPEAKER_20
transcript.pyannote[1587].start 25764.47721875
transcript.pyannote[1587].end 25766.78909375
transcript.pyannote[1588].speaker SPEAKER_20
transcript.pyannote[1588].start 25767.64971875
transcript.pyannote[1588].end 25768.29096875
transcript.pyannote[1589].speaker SPEAKER_20
transcript.pyannote[1589].start 25769.30346875
transcript.pyannote[1589].end 25772.81346875
transcript.pyannote[1590].speaker SPEAKER_20
transcript.pyannote[1590].start 25773.47159375
transcript.pyannote[1590].end 25774.04534375
transcript.pyannote[1591].speaker SPEAKER_20
transcript.pyannote[1591].start 25774.45034375
transcript.pyannote[1591].end 25776.84659375
transcript.pyannote[1592].speaker SPEAKER_20
transcript.pyannote[1592].start 25777.50471875
transcript.pyannote[1592].end 25780.10346875
transcript.pyannote[1593].speaker SPEAKER_20
transcript.pyannote[1593].start 25780.59284375
transcript.pyannote[1593].end 25782.17909375
transcript.pyannote[1594].speaker SPEAKER_20
transcript.pyannote[1594].start 25782.65159375
transcript.pyannote[1594].end 25785.75659375
transcript.pyannote[1595].speaker SPEAKER_20
transcript.pyannote[1595].start 25786.06034375
transcript.pyannote[1595].end 25789.09784375
transcript.pyannote[1596].speaker SPEAKER_20
transcript.pyannote[1596].start 25789.41846875
transcript.pyannote[1596].end 25790.61659375
transcript.pyannote[1597].speaker SPEAKER_20
transcript.pyannote[1597].start 25791.37596875
transcript.pyannote[1597].end 25791.96659375
transcript.pyannote[1598].speaker SPEAKER_20
transcript.pyannote[1598].start 25792.69221875
transcript.pyannote[1598].end 25797.29909375
transcript.pyannote[1599].speaker SPEAKER_20
transcript.pyannote[1599].start 25798.32846875
transcript.pyannote[1599].end 25802.27721875
transcript.pyannote[1600].speaker SPEAKER_20
transcript.pyannote[1600].start 25802.61471875
transcript.pyannote[1600].end 25803.49221875
transcript.pyannote[1601].speaker SPEAKER_20
transcript.pyannote[1601].start 25803.74534375
transcript.pyannote[1601].end 25805.53409375
transcript.pyannote[1602].speaker SPEAKER_20
transcript.pyannote[1602].start 25806.36096875
transcript.pyannote[1602].end 25806.88409375
transcript.pyannote[1603].speaker SPEAKER_20
transcript.pyannote[1603].start 25807.13721875
transcript.pyannote[1603].end 25810.03971875
transcript.pyannote[1604].speaker SPEAKER_20
transcript.pyannote[1604].start 25810.54596875
transcript.pyannote[1604].end 25812.45284375
transcript.pyannote[1605].speaker SPEAKER_20
transcript.pyannote[1605].start 25813.06034375
transcript.pyannote[1605].end 25813.71846875
transcript.pyannote[1606].speaker SPEAKER_20
transcript.pyannote[1606].start 25813.78596875
transcript.pyannote[1606].end 25814.19096875
transcript.pyannote[1607].speaker SPEAKER_20
transcript.pyannote[1607].start 25814.57909375
transcript.pyannote[1607].end 25816.23284375
transcript.pyannote[1608].speaker SPEAKER_20
transcript.pyannote[1608].start 25816.87409375
transcript.pyannote[1608].end 25822.20659375
transcript.pyannote[1609].speaker SPEAKER_20
transcript.pyannote[1609].start 25822.66221875
transcript.pyannote[1609].end 25824.04596875
transcript.pyannote[1610].speaker SPEAKER_20
transcript.pyannote[1610].start 25824.45096875
transcript.pyannote[1610].end 25826.45909375
transcript.pyannote[1611].speaker SPEAKER_20
transcript.pyannote[1611].start 25826.56034375
transcript.pyannote[1611].end 25828.04534375
transcript.pyannote[1612].speaker SPEAKER_20
transcript.pyannote[1612].start 25828.56846875
transcript.pyannote[1612].end 25834.30596875
transcript.pyannote[1613].speaker SPEAKER_20
transcript.pyannote[1613].start 25834.72784375
transcript.pyannote[1613].end 25847.02971875
transcript.pyannote[1614].speaker SPEAKER_20
transcript.pyannote[1614].start 25847.28284375
transcript.pyannote[1614].end 25849.27409375
transcript.pyannote[1615].speaker SPEAKER_20
transcript.pyannote[1615].start 25849.59471875
transcript.pyannote[1615].end 25851.21471875
transcript.pyannote[1616].speaker SPEAKER_20
transcript.pyannote[1616].start 25852.07534375
transcript.pyannote[1616].end 25852.93596875
transcript.pyannote[1617].speaker SPEAKER_20
transcript.pyannote[1617].start 25853.29034375
transcript.pyannote[1617].end 25856.24346875
transcript.pyannote[1618].speaker SPEAKER_20
transcript.pyannote[1618].start 25857.27284375
transcript.pyannote[1618].end 25859.80409375
transcript.pyannote[1619].speaker SPEAKER_20
transcript.pyannote[1619].start 25859.92221875
transcript.pyannote[1619].end 25861.91346875
transcript.pyannote[1620].speaker SPEAKER_20
transcript.pyannote[1620].start 25862.38596875
transcript.pyannote[1620].end 25865.62596875
transcript.pyannote[1621].speaker SPEAKER_20
transcript.pyannote[1621].start 25866.41909375
transcript.pyannote[1621].end 25869.59159375
transcript.pyannote[1622].speaker SPEAKER_20
transcript.pyannote[1622].start 25870.13159375
transcript.pyannote[1622].end 25873.47284375
transcript.pyannote[1623].speaker SPEAKER_20
transcript.pyannote[1623].start 25874.04659375
transcript.pyannote[1623].end 25880.72909375
transcript.pyannote[1624].speaker SPEAKER_20
transcript.pyannote[1624].start 25881.48846875
transcript.pyannote[1624].end 25884.61034375
transcript.pyannote[1625].speaker SPEAKER_20
transcript.pyannote[1625].start 25885.11659375
transcript.pyannote[1625].end 25885.82534375
transcript.pyannote[1626].speaker SPEAKER_20
transcript.pyannote[1626].start 25886.16284375
transcript.pyannote[1626].end 25886.70284375
transcript.pyannote[1627].speaker SPEAKER_20
transcript.pyannote[1627].start 25887.20909375
transcript.pyannote[1627].end 25889.90909375
transcript.pyannote[1628].speaker SPEAKER_20
transcript.pyannote[1628].start 25890.80346875
transcript.pyannote[1628].end 25891.27596875
transcript.pyannote[1629].speaker SPEAKER_20
transcript.pyannote[1629].start 25892.32221875
transcript.pyannote[1629].end 25894.58346875
transcript.pyannote[1630].speaker SPEAKER_20
transcript.pyannote[1630].start 25895.76471875
transcript.pyannote[1630].end 25897.84034375
transcript.pyannote[1631].speaker SPEAKER_20
transcript.pyannote[1631].start 25898.65034375
transcript.pyannote[1631].end 25904.82659375
transcript.pyannote[1632].speaker SPEAKER_20
transcript.pyannote[1632].start 25905.13034375
transcript.pyannote[1632].end 25905.14721875
transcript.pyannote[1633].speaker SPEAKER_16
transcript.pyannote[1633].start 25905.14721875
transcript.pyannote[1633].end 25905.38346875
transcript.pyannote[1634].speaker SPEAKER_20
transcript.pyannote[1634].start 25905.38346875
transcript.pyannote[1634].end 25908.52221875
transcript.pyannote[1635].speaker SPEAKER_20
transcript.pyannote[1635].start 25909.07909375
transcript.pyannote[1635].end 25910.22659375
transcript.pyannote[1636].speaker SPEAKER_20
transcript.pyannote[1636].start 25910.39534375
transcript.pyannote[1636].end 25912.31909375
transcript.pyannote[1637].speaker SPEAKER_20
transcript.pyannote[1637].start 25912.40346875
transcript.pyannote[1637].end 25912.43721875
transcript.pyannote[1638].speaker SPEAKER_16
transcript.pyannote[1638].start 25912.43721875
transcript.pyannote[1638].end 25912.58909375
transcript.pyannote[1639].speaker SPEAKER_20
transcript.pyannote[1639].start 25912.58909375
transcript.pyannote[1639].end 25913.83784375
transcript.pyannote[1640].speaker SPEAKER_16
transcript.pyannote[1640].start 25913.56784375
transcript.pyannote[1640].end 25914.81659375
transcript.pyannote[1641].speaker SPEAKER_20
transcript.pyannote[1641].start 25914.78284375
transcript.pyannote[1641].end 25917.36471875
transcript.pyannote[1642].speaker SPEAKER_20
transcript.pyannote[1642].start 25918.10721875
transcript.pyannote[1642].end 25918.95096875
transcript.pyannote[1643].speaker SPEAKER_20
transcript.pyannote[1643].start 25919.44034375
transcript.pyannote[1643].end 25920.58784375
transcript.pyannote[1644].speaker SPEAKER_20
transcript.pyannote[1644].start 25921.56659375
transcript.pyannote[1644].end 25922.57909375
transcript.pyannote[1645].speaker SPEAKER_20
transcript.pyannote[1645].start 25922.61284375
transcript.pyannote[1645].end 25925.16096875
transcript.pyannote[1646].speaker SPEAKER_20
transcript.pyannote[1646].start 25925.32971875
transcript.pyannote[1646].end 25927.59096875
transcript.pyannote[1647].speaker SPEAKER_20
transcript.pyannote[1647].start 25928.29971875
transcript.pyannote[1647].end 25930.51034375
transcript.pyannote[1648].speaker SPEAKER_20
transcript.pyannote[1648].start 25930.84784375
transcript.pyannote[1648].end 25934.45909375
transcript.pyannote[1649].speaker SPEAKER_20
transcript.pyannote[1649].start 25935.01596875
transcript.pyannote[1649].end 25936.33221875
transcript.pyannote[1650].speaker SPEAKER_20
transcript.pyannote[1650].start 25936.66971875
transcript.pyannote[1650].end 25938.88034375
transcript.pyannote[1651].speaker SPEAKER_20
transcript.pyannote[1651].start 25939.96034375
transcript.pyannote[1651].end 25944.38159375
transcript.pyannote[1652].speaker SPEAKER_17
transcript.pyannote[1652].start 25944.58409375
transcript.pyannote[1652].end 25952.71784375
transcript.pyannote[1653].speaker SPEAKER_20
transcript.pyannote[1653].start 25947.70596875
transcript.pyannote[1653].end 25948.44846875
transcript.pyannote[1654].speaker SPEAKER_17
transcript.pyannote[1654].start 25953.00471875
transcript.pyannote[1654].end 25954.48971875
transcript.pyannote[1655].speaker SPEAKER_17
transcript.pyannote[1655].start 25954.59096875
transcript.pyannote[1655].end 25958.03346875
transcript.pyannote[1656].speaker SPEAKER_20
transcript.pyannote[1656].start 25958.03346875
transcript.pyannote[1656].end 25958.33721875
transcript.pyannote[1657].speaker SPEAKER_17
transcript.pyannote[1657].start 25958.33721875
transcript.pyannote[1657].end 25958.75909375
transcript.pyannote[1658].speaker SPEAKER_20
transcript.pyannote[1658].start 25958.75909375
transcript.pyannote[1658].end 25958.80971875
transcript.pyannote[1659].speaker SPEAKER_17
transcript.pyannote[1659].start 25959.34971875
transcript.pyannote[1659].end 25959.38346875
transcript.pyannote[1660].speaker SPEAKER_20
transcript.pyannote[1660].start 25959.38346875
transcript.pyannote[1660].end 25961.86409375
transcript.pyannote[1661].speaker SPEAKER_20
transcript.pyannote[1661].start 25962.30284375
transcript.pyannote[1661].end 25963.95659375
transcript.pyannote[1662].speaker SPEAKER_20
transcript.pyannote[1662].start 25964.61471875
transcript.pyannote[1662].end 25968.10784375
transcript.pyannote[1663].speaker SPEAKER_20
transcript.pyannote[1663].start 25968.27659375
transcript.pyannote[1663].end 25974.43596875
transcript.pyannote[1664].speaker SPEAKER_20
transcript.pyannote[1664].start 25974.68909375
transcript.pyannote[1664].end 25976.57909375
transcript.pyannote[1665].speaker SPEAKER_20
transcript.pyannote[1665].start 25977.00096875
transcript.pyannote[1665].end 25977.27096875
transcript.pyannote[1666].speaker SPEAKER_20
transcript.pyannote[1666].start 25977.35534375
transcript.pyannote[1666].end 25979.44784375
transcript.pyannote[1667].speaker SPEAKER_20
transcript.pyannote[1667].start 25980.24096875
transcript.pyannote[1667].end 25981.43909375
transcript.pyannote[1668].speaker SPEAKER_20
transcript.pyannote[1668].start 25981.89471875
transcript.pyannote[1668].end 25983.83534375
transcript.pyannote[1669].speaker SPEAKER_20
transcript.pyannote[1669].start 25983.93659375
transcript.pyannote[1669].end 25985.96159375
transcript.pyannote[1670].speaker SPEAKER_20
transcript.pyannote[1670].start 25986.65346875
transcript.pyannote[1670].end 25988.81346875
transcript.pyannote[1671].speaker SPEAKER_20
transcript.pyannote[1671].start 25989.11721875
transcript.pyannote[1671].end 25993.60596875
transcript.pyannote[1672].speaker SPEAKER_20
transcript.pyannote[1672].start 25994.19659375
transcript.pyannote[1672].end 25997.55471875
transcript.pyannote[1673].speaker SPEAKER_20
transcript.pyannote[1673].start 25997.89221875
transcript.pyannote[1673].end 25998.29721875
transcript.pyannote[1674].speaker SPEAKER_20
transcript.pyannote[1674].start 25998.51659375
transcript.pyannote[1674].end 26000.77784375
transcript.pyannote[1675].speaker SPEAKER_20
transcript.pyannote[1675].start 26001.41909375
transcript.pyannote[1675].end 26006.68409375
transcript.pyannote[1676].speaker SPEAKER_20
transcript.pyannote[1676].start 26007.02159375
transcript.pyannote[1676].end 26009.85659375
transcript.pyannote[1677].speaker SPEAKER_07
transcript.pyannote[1677].start 26010.63284375
transcript.pyannote[1677].end 26011.34159375
transcript.pyannote[1678].speaker SPEAKER_07
transcript.pyannote[1678].start 26012.01659375
transcript.pyannote[1678].end 26017.12971875
transcript.pyannote[1679].speaker SPEAKER_07
transcript.pyannote[1679].start 26017.36596875
transcript.pyannote[1679].end 26017.39971875
transcript.pyannote[1680].speaker SPEAKER_06
transcript.pyannote[1680].start 26017.39971875
transcript.pyannote[1680].end 26017.41659375
transcript.pyannote[1681].speaker SPEAKER_07
transcript.pyannote[1681].start 26017.41659375
transcript.pyannote[1681].end 26017.43346875
transcript.pyannote[1682].speaker SPEAKER_06
transcript.pyannote[1682].start 26017.43346875
transcript.pyannote[1682].end 26017.45034375
transcript.pyannote[1683].speaker SPEAKER_20
transcript.pyannote[1683].start 26017.45034375
transcript.pyannote[1683].end 26017.50096875
transcript.pyannote[1684].speaker SPEAKER_07
transcript.pyannote[1684].start 26017.50096875
transcript.pyannote[1684].end 26022.96846875
transcript.pyannote[1685].speaker SPEAKER_20
transcript.pyannote[1685].start 26017.51784375
transcript.pyannote[1685].end 26017.56846875
transcript.pyannote[1686].speaker SPEAKER_06
transcript.pyannote[1686].start 26017.56846875
transcript.pyannote[1686].end 26017.61909375
transcript.pyannote[1687].speaker SPEAKER_20
transcript.pyannote[1687].start 26022.34409375
transcript.pyannote[1687].end 26024.77409375
transcript.pyannote[1688].speaker SPEAKER_20
transcript.pyannote[1688].start 26024.99346875
transcript.pyannote[1688].end 26025.02721875
transcript.pyannote[1689].speaker SPEAKER_07
transcript.pyannote[1689].start 26025.02721875
transcript.pyannote[1689].end 26025.04409375
transcript.pyannote[1690].speaker SPEAKER_20
transcript.pyannote[1690].start 26025.04409375
transcript.pyannote[1690].end 26025.12846875
transcript.pyannote[1691].speaker SPEAKER_07
transcript.pyannote[1691].start 26025.12846875
transcript.pyannote[1691].end 26025.17909375
transcript.pyannote[1692].speaker SPEAKER_20
transcript.pyannote[1692].start 26025.17909375
transcript.pyannote[1692].end 26026.56284375
transcript.pyannote[1693].speaker SPEAKER_20
transcript.pyannote[1693].start 26026.91721875
transcript.pyannote[1693].end 26034.57846875
transcript.pyannote[1694].speaker SPEAKER_20
transcript.pyannote[1694].start 26035.23659375
transcript.pyannote[1694].end 26041.90221875
transcript.pyannote[1695].speaker SPEAKER_20
transcript.pyannote[1695].start 26042.76284375
transcript.pyannote[1695].end 26044.46721875
transcript.pyannote[1696].speaker SPEAKER_20
transcript.pyannote[1696].start 26044.63596875
transcript.pyannote[1696].end 26045.68221875
transcript.pyannote[1697].speaker SPEAKER_20
transcript.pyannote[1697].start 26046.25596875
transcript.pyannote[1697].end 26055.06471875
transcript.pyannote[1698].speaker SPEAKER_20
transcript.pyannote[1698].start 26055.52034375
transcript.pyannote[1698].end 26057.54534375
transcript.pyannote[1699].speaker SPEAKER_20
transcript.pyannote[1699].start 26057.79846875
transcript.pyannote[1699].end 26060.34659375
transcript.pyannote[1700].speaker SPEAKER_20
transcript.pyannote[1700].start 26060.76846875
transcript.pyannote[1700].end 26061.64596875
transcript.pyannote[1701].speaker SPEAKER_05
transcript.pyannote[1701].start 26061.03846875
transcript.pyannote[1701].end 26061.07221875
transcript.pyannote[1702].speaker SPEAKER_20
transcript.pyannote[1702].start 26061.89909375
transcript.pyannote[1702].end 26066.13471875
transcript.pyannote[1703].speaker SPEAKER_20
transcript.pyannote[1703].start 26066.65784375
transcript.pyannote[1703].end 26066.94471875
transcript.pyannote[1704].speaker SPEAKER_20
transcript.pyannote[1704].start 26067.33284375
transcript.pyannote[1704].end 26069.08784375
transcript.pyannote[1705].speaker SPEAKER_20
transcript.pyannote[1705].start 26069.83034375
transcript.pyannote[1705].end 26070.89346875
transcript.pyannote[1706].speaker SPEAKER_20
transcript.pyannote[1706].start 26071.19721875
transcript.pyannote[1706].end 26071.61909375
transcript.pyannote[1707].speaker SPEAKER_20
transcript.pyannote[1707].start 26071.87221875
transcript.pyannote[1707].end 26073.42471875
transcript.pyannote[1708].speaker SPEAKER_20
transcript.pyannote[1708].start 26073.61034375
transcript.pyannote[1708].end 26077.89659375
transcript.pyannote[1709].speaker SPEAKER_20
transcript.pyannote[1709].start 26079.65159375
transcript.pyannote[1709].end 26080.64721875
transcript.pyannote[1710].speaker SPEAKER_20
transcript.pyannote[1710].start 26081.91284375
transcript.pyannote[1710].end 26086.78971875
transcript.pyannote[1711].speaker SPEAKER_20
transcript.pyannote[1711].start 26087.22846875
transcript.pyannote[1711].end 26087.78534375
transcript.pyannote[1712].speaker SPEAKER_20
transcript.pyannote[1712].start 26088.52784375
transcript.pyannote[1712].end 26092.25721875
transcript.pyannote[1713].speaker SPEAKER_20
transcript.pyannote[1713].start 26092.86471875
transcript.pyannote[1713].end 26094.34971875
transcript.pyannote[1714].speaker SPEAKER_20
transcript.pyannote[1714].start 26094.63659375
transcript.pyannote[1714].end 26096.61096875
transcript.pyannote[1715].speaker SPEAKER_20
transcript.pyannote[1715].start 26097.33659375
transcript.pyannote[1715].end 26103.24284375
transcript.pyannote[1716].speaker SPEAKER_20
transcript.pyannote[1716].start 26103.73221875
transcript.pyannote[1716].end 26105.63909375
transcript.pyannote[1717].speaker SPEAKER_20
transcript.pyannote[1717].start 26105.94284375
transcript.pyannote[1717].end 26107.74846875
transcript.pyannote[1718].speaker SPEAKER_20
transcript.pyannote[1718].start 26108.27159375
transcript.pyannote[1718].end 26110.48221875
transcript.pyannote[1719].speaker SPEAKER_20
transcript.pyannote[1719].start 26110.87034375
transcript.pyannote[1719].end 26115.59534375
transcript.pyannote[1720].speaker SPEAKER_20
transcript.pyannote[1720].start 26116.35471875
transcript.pyannote[1720].end 26117.38409375
transcript.pyannote[1721].speaker SPEAKER_20
transcript.pyannote[1721].start 26117.75534375
transcript.pyannote[1721].end 26121.56909375
transcript.pyannote[1722].speaker SPEAKER_20
transcript.pyannote[1722].start 26121.72096875
transcript.pyannote[1722].end 26124.18471875
transcript.pyannote[1723].speaker SPEAKER_20
transcript.pyannote[1723].start 26124.38721875
transcript.pyannote[1723].end 26125.14659375
transcript.pyannote[1724].speaker SPEAKER_20
transcript.pyannote[1724].start 26125.63596875
transcript.pyannote[1724].end 26128.77471875
transcript.pyannote[1725].speaker SPEAKER_20
transcript.pyannote[1725].start 26128.99409375
transcript.pyannote[1725].end 26133.71909375
transcript.pyannote[1726].speaker SPEAKER_20
transcript.pyannote[1726].start 26134.07346875
transcript.pyannote[1726].end 26135.82846875
transcript.pyannote[1727].speaker SPEAKER_20
transcript.pyannote[1727].start 26136.21659375
transcript.pyannote[1727].end 26144.60346875
transcript.pyannote[1728].speaker SPEAKER_20
transcript.pyannote[1728].start 26144.82284375
transcript.pyannote[1728].end 26146.39221875
transcript.pyannote[1729].speaker SPEAKER_20
transcript.pyannote[1729].start 26146.86471875
transcript.pyannote[1729].end 26148.46784375
transcript.pyannote[1730].speaker SPEAKER_20
transcript.pyannote[1730].start 26148.78846875
transcript.pyannote[1730].end 26149.17659375
transcript.pyannote[1731].speaker SPEAKER_20
transcript.pyannote[1731].start 26149.51409375
transcript.pyannote[1731].end 26155.48784375
transcript.pyannote[1732].speaker SPEAKER_20
transcript.pyannote[1732].start 26155.75784375
transcript.pyannote[1732].end 26158.99784375
transcript.pyannote[1733].speaker SPEAKER_20
transcript.pyannote[1733].start 26159.04846875
transcript.pyannote[1733].end 26160.24659375
transcript.pyannote[1734].speaker SPEAKER_25
transcript.pyannote[1734].start 26160.97221875
transcript.pyannote[1734].end 26161.02284375
transcript.pyannote[1735].speaker SPEAKER_20
transcript.pyannote[1735].start 26161.39409375
transcript.pyannote[1735].end 26174.23596875
transcript.pyannote[1736].speaker SPEAKER_20
transcript.pyannote[1736].start 26174.48909375
transcript.pyannote[1736].end 26179.11284375
transcript.pyannote[1737].speaker SPEAKER_20
transcript.pyannote[1737].start 26179.80471875
transcript.pyannote[1737].end 26182.67346875
transcript.pyannote[1738].speaker SPEAKER_20
transcript.pyannote[1738].start 26182.89284375
transcript.pyannote[1738].end 26185.01909375
transcript.pyannote[1739].speaker SPEAKER_20
transcript.pyannote[1739].start 26185.15409375
transcript.pyannote[1739].end 26186.55471875
transcript.pyannote[1740].speaker SPEAKER_20
transcript.pyannote[1740].start 26186.97659375
transcript.pyannote[1740].end 26188.37721875
transcript.pyannote[1741].speaker SPEAKER_20
transcript.pyannote[1741].start 26188.79909375
transcript.pyannote[1741].end 26192.42721875
transcript.pyannote[1742].speaker SPEAKER_20
transcript.pyannote[1742].start 26192.47784375
transcript.pyannote[1742].end 26194.87409375
transcript.pyannote[1743].speaker SPEAKER_20
transcript.pyannote[1743].start 26195.16096875
transcript.pyannote[1743].end 26202.50159375
transcript.pyannote[1744].speaker SPEAKER_20
transcript.pyannote[1744].start 26203.17659375
transcript.pyannote[1744].end 26204.17221875
transcript.pyannote[1745].speaker SPEAKER_20
transcript.pyannote[1745].start 26204.52659375
transcript.pyannote[1745].end 26210.63534375
transcript.pyannote[1746].speaker SPEAKER_20
transcript.pyannote[1746].start 26211.37784375
transcript.pyannote[1746].end 26213.04846875
transcript.pyannote[1747].speaker SPEAKER_20
transcript.pyannote[1747].start 26213.67284375
transcript.pyannote[1747].end 26214.97221875
transcript.pyannote[1748].speaker SPEAKER_25
transcript.pyannote[1748].start 26215.05659375
transcript.pyannote[1748].end 26215.44471875
transcript.pyannote[1749].speaker SPEAKER_20
transcript.pyannote[1749].start 26215.44471875
transcript.pyannote[1749].end 26221.14846875
transcript.pyannote[1750].speaker SPEAKER_20
transcript.pyannote[1750].start 26221.58721875
transcript.pyannote[1750].end 26223.15659375
transcript.pyannote[1751].speaker SPEAKER_20
transcript.pyannote[1751].start 26223.79784375
transcript.pyannote[1751].end 26224.92846875
transcript.pyannote[1752].speaker SPEAKER_20
transcript.pyannote[1752].start 26225.33346875
transcript.pyannote[1752].end 26231.40846875
transcript.pyannote[1753].speaker SPEAKER_20
transcript.pyannote[1753].start 26231.86409375
transcript.pyannote[1753].end 26234.10846875
transcript.pyannote[1754].speaker SPEAKER_20
transcript.pyannote[1754].start 26234.44596875
transcript.pyannote[1754].end 26235.77909375
transcript.pyannote[1755].speaker SPEAKER_20
transcript.pyannote[1755].start 26236.55534375
transcript.pyannote[1755].end 26237.04471875
transcript.pyannote[1756].speaker SPEAKER_20
transcript.pyannote[1756].start 26237.36534375
transcript.pyannote[1756].end 26238.10784375
transcript.pyannote[1757].speaker SPEAKER_20
transcript.pyannote[1757].start 26238.58034375
transcript.pyannote[1757].end 26239.49159375
transcript.pyannote[1758].speaker SPEAKER_20
transcript.pyannote[1758].start 26240.53784375
transcript.pyannote[1758].end 26241.56721875
transcript.pyannote[1759].speaker SPEAKER_20
transcript.pyannote[1759].start 26241.82034375
transcript.pyannote[1759].end 26242.22534375
transcript.pyannote[1760].speaker SPEAKER_20
transcript.pyannote[1760].start 26243.20409375
transcript.pyannote[1760].end 26244.92534375
transcript.pyannote[1761].speaker SPEAKER_20
transcript.pyannote[1761].start 26245.16159375
transcript.pyannote[1761].end 26246.05596875
transcript.pyannote[1762].speaker SPEAKER_20
transcript.pyannote[1762].start 26246.59596875
transcript.pyannote[1762].end 26247.22034375
transcript.pyannote[1763].speaker SPEAKER_20
transcript.pyannote[1763].start 26247.37221875
transcript.pyannote[1763].end 26248.24971875
transcript.pyannote[1764].speaker SPEAKER_20
transcript.pyannote[1764].start 26248.57034375
transcript.pyannote[1764].end 26250.54471875
transcript.pyannote[1765].speaker SPEAKER_20
transcript.pyannote[1765].start 26250.91596875
transcript.pyannote[1765].end 26252.21534375
transcript.pyannote[1766].speaker SPEAKER_20
transcript.pyannote[1766].start 26252.38409375
transcript.pyannote[1766].end 26254.61159375
transcript.pyannote[1767].speaker SPEAKER_20
transcript.pyannote[1767].start 26254.99971875
transcript.pyannote[1767].end 26260.36596875
transcript.pyannote[1768].speaker SPEAKER_20
transcript.pyannote[1768].start 26260.72034375
transcript.pyannote[1768].end 26261.85096875
transcript.pyannote[1769].speaker SPEAKER_20
transcript.pyannote[1769].start 26262.32346875
transcript.pyannote[1769].end 26264.75346875
transcript.pyannote[1770].speaker SPEAKER_20
transcript.pyannote[1770].start 26265.34409375
transcript.pyannote[1770].end 26265.71534375
transcript.pyannote[1771].speaker SPEAKER_20
transcript.pyannote[1771].start 26266.40721875
transcript.pyannote[1771].end 26268.98909375
transcript.pyannote[1772].speaker SPEAKER_20
transcript.pyannote[1772].start 26269.59659375
transcript.pyannote[1772].end 26274.54096875
transcript.pyannote[1773].speaker SPEAKER_20
transcript.pyannote[1773].start 26275.21596875
transcript.pyannote[1773].end 26278.35471875
transcript.pyannote[1774].speaker SPEAKER_20
transcript.pyannote[1774].start 26279.38409375
transcript.pyannote[1774].end 26285.86409375
transcript.pyannote[1775].speaker SPEAKER_20
transcript.pyannote[1775].start 26286.10034375
transcript.pyannote[1775].end 26290.16721875
transcript.pyannote[1776].speaker SPEAKER_20
transcript.pyannote[1776].start 26290.43721875
transcript.pyannote[1776].end 26292.24284375
transcript.pyannote[1777].speaker SPEAKER_20
transcript.pyannote[1777].start 26292.69846875
transcript.pyannote[1777].end 26294.33534375
transcript.pyannote[1778].speaker SPEAKER_20
transcript.pyannote[1778].start 26295.17909375
transcript.pyannote[1778].end 26296.29284375
transcript.pyannote[1779].speaker SPEAKER_20
transcript.pyannote[1779].start 26296.83284375
transcript.pyannote[1779].end 26299.12784375
transcript.pyannote[1780].speaker SPEAKER_20
transcript.pyannote[1780].start 26299.70159375
transcript.pyannote[1780].end 26303.41409375
transcript.pyannote[1781].speaker SPEAKER_20
transcript.pyannote[1781].start 26303.56596875
transcript.pyannote[1781].end 26304.35909375
transcript.pyannote[1782].speaker SPEAKER_20
transcript.pyannote[1782].start 26304.71346875
transcript.pyannote[1782].end 26314.02846875
transcript.pyannote[1783].speaker SPEAKER_17
transcript.pyannote[1783].start 26314.41659375
transcript.pyannote[1783].end 26318.87159375
transcript.pyannote[1784].speaker SPEAKER_20
transcript.pyannote[1784].start 26314.51784375
transcript.pyannote[1784].end 26315.19284375
transcript.pyannote[1785].speaker SPEAKER_25
transcript.pyannote[1785].start 26317.90971875
transcript.pyannote[1785].end 26318.01096875
transcript.pyannote[1786].speaker SPEAKER_20
transcript.pyannote[1786].start 26318.01096875
transcript.pyannote[1786].end 26318.02784375
transcript.pyannote[1787].speaker SPEAKER_25
transcript.pyannote[1787].start 26318.02784375
transcript.pyannote[1787].end 26318.04471875
transcript.pyannote[1788].speaker SPEAKER_20
transcript.pyannote[1788].start 26318.04471875
transcript.pyannote[1788].end 26318.11221875
transcript.pyannote[1789].speaker SPEAKER_25
transcript.pyannote[1789].start 26318.11221875
transcript.pyannote[1789].end 26318.21346875
transcript.pyannote[1790].speaker SPEAKER_17
transcript.pyannote[1790].start 26319.37784375
transcript.pyannote[1790].end 26324.25471875
transcript.pyannote[1791].speaker SPEAKER_17
transcript.pyannote[1791].start 26324.27159375
transcript.pyannote[1791].end 26324.32221875
transcript.pyannote[1792].speaker SPEAKER_17
transcript.pyannote[1792].start 26324.33909375
transcript.pyannote[1792].end 26327.25846875
transcript.pyannote[1793].speaker SPEAKER_17
transcript.pyannote[1793].start 26327.57909375
transcript.pyannote[1793].end 26330.27909375
transcript.pyannote[1794].speaker SPEAKER_17
transcript.pyannote[1794].start 26330.97096875
transcript.pyannote[1794].end 26331.22409375
transcript.pyannote[1795].speaker SPEAKER_20
transcript.pyannote[1795].start 26331.22409375
transcript.pyannote[1795].end 26334.66659375
transcript.pyannote[1796].speaker SPEAKER_20
transcript.pyannote[1796].start 26335.00409375
transcript.pyannote[1796].end 26344.03221875
transcript.pyannote[1797].speaker SPEAKER_20
transcript.pyannote[1797].start 26344.35284375
transcript.pyannote[1797].end 26345.85471875
transcript.pyannote[1798].speaker SPEAKER_03
transcript.pyannote[1798].start 26348.55471875
transcript.pyannote[1798].end 26350.27596875
transcript.pyannote[1799].speaker SPEAKER_03
transcript.pyannote[1799].start 26352.36846875
transcript.pyannote[1799].end 26353.43159375
transcript.pyannote[1800].speaker SPEAKER_03
transcript.pyannote[1800].start 26354.03909375
transcript.pyannote[1800].end 26357.02596875
transcript.pyannote[1801].speaker SPEAKER_02
transcript.pyannote[1801].start 26385.24096875
transcript.pyannote[1801].end 26392.36221875
transcript.pyannote[1802].speaker SPEAKER_02
transcript.pyannote[1802].start 26399.83784375
transcript.pyannote[1802].end 26399.85471875
transcript.pyannote[1803].speaker SPEAKER_30
transcript.pyannote[1803].start 26399.85471875
transcript.pyannote[1803].end 26402.52096875
transcript.pyannote[1804].speaker SPEAKER_30
transcript.pyannote[1804].start 26402.67284375
transcript.pyannote[1804].end 26408.95034375
transcript.pyannote[1805].speaker SPEAKER_30
transcript.pyannote[1805].start 26409.47346875
transcript.pyannote[1805].end 26413.42221875
transcript.pyannote[1806].speaker SPEAKER_30
transcript.pyannote[1806].start 26413.82721875
transcript.pyannote[1806].end 26415.81846875
transcript.pyannote[1807].speaker SPEAKER_30
transcript.pyannote[1807].start 26416.44284375
transcript.pyannote[1807].end 26418.78846875
transcript.pyannote[1808].speaker SPEAKER_30
transcript.pyannote[1808].start 26419.21034375
transcript.pyannote[1808].end 26420.54346875
transcript.pyannote[1809].speaker SPEAKER_30
transcript.pyannote[1809].start 26420.88096875
transcript.pyannote[1809].end 26421.43784375
transcript.pyannote[1810].speaker SPEAKER_30
transcript.pyannote[1810].start 26422.04534375
transcript.pyannote[1810].end 26422.82159375
transcript.pyannote[1811].speaker SPEAKER_30
transcript.pyannote[1811].start 26423.36159375
transcript.pyannote[1811].end 26424.79596875
transcript.pyannote[1812].speaker SPEAKER_30
transcript.pyannote[1812].start 26425.36971875
transcript.pyannote[1812].end 26426.31471875
transcript.pyannote[1813].speaker SPEAKER_30
transcript.pyannote[1813].start 26427.32721875
transcript.pyannote[1813].end 26427.74909375
transcript.pyannote[1814].speaker SPEAKER_30
transcript.pyannote[1814].start 26428.45784375
transcript.pyannote[1814].end 26430.24659375
transcript.pyannote[1815].speaker SPEAKER_30
transcript.pyannote[1815].start 26430.49971875
transcript.pyannote[1815].end 26434.16159375
transcript.pyannote[1816].speaker SPEAKER_30
transcript.pyannote[1816].start 26435.12346875
transcript.pyannote[1816].end 26436.52409375
transcript.pyannote[1817].speaker SPEAKER_30
transcript.pyannote[1817].start 26437.06409375
transcript.pyannote[1817].end 26441.01284375
transcript.pyannote[1818].speaker SPEAKER_30
transcript.pyannote[1818].start 26441.72159375
transcript.pyannote[1818].end 26443.22346875
transcript.pyannote[1819].speaker SPEAKER_30
transcript.pyannote[1819].start 26443.64534375
transcript.pyannote[1819].end 26444.10096875
transcript.pyannote[1820].speaker SPEAKER_30
transcript.pyannote[1820].start 26444.97846875
transcript.pyannote[1820].end 26446.90221875
transcript.pyannote[1821].speaker SPEAKER_30
transcript.pyannote[1821].start 26447.61096875
transcript.pyannote[1821].end 26449.82159375
transcript.pyannote[1822].speaker SPEAKER_30
transcript.pyannote[1822].start 26450.04096875
transcript.pyannote[1822].end 26451.40784375
transcript.pyannote[1823].speaker SPEAKER_30
transcript.pyannote[1823].start 26452.01534375
transcript.pyannote[1823].end 26452.45409375
transcript.pyannote[1824].speaker SPEAKER_30
transcript.pyannote[1824].start 26453.24721875
transcript.pyannote[1824].end 26454.79971875
transcript.pyannote[1825].speaker SPEAKER_30
transcript.pyannote[1825].start 26455.42409375
transcript.pyannote[1825].end 26456.03159375
transcript.pyannote[1826].speaker SPEAKER_30
transcript.pyannote[1826].start 26456.06534375
transcript.pyannote[1826].end 26458.22534375
transcript.pyannote[1827].speaker SPEAKER_30
transcript.pyannote[1827].start 26459.32221875
transcript.pyannote[1827].end 26460.09846875
transcript.pyannote[1828].speaker SPEAKER_30
transcript.pyannote[1828].start 26460.43596875
transcript.pyannote[1828].end 26462.35971875
transcript.pyannote[1829].speaker SPEAKER_30
transcript.pyannote[1829].start 26463.37221875
transcript.pyannote[1829].end 26465.73471875
transcript.pyannote[1830].speaker SPEAKER_30
transcript.pyannote[1830].start 26466.34221875
transcript.pyannote[1830].end 26467.47284375
transcript.pyannote[1831].speaker SPEAKER_30
transcript.pyannote[1831].start 26467.65846875
transcript.pyannote[1831].end 26469.90284375
transcript.pyannote[1832].speaker SPEAKER_30
transcript.pyannote[1832].start 26470.61159375
transcript.pyannote[1832].end 26474.96534375
transcript.pyannote[1833].speaker SPEAKER_30
transcript.pyannote[1833].start 26475.85971875
transcript.pyannote[1833].end 26478.07034375
transcript.pyannote[1834].speaker SPEAKER_30
transcript.pyannote[1834].start 26478.94784375
transcript.pyannote[1834].end 26480.09534375
transcript.pyannote[1835].speaker SPEAKER_30
transcript.pyannote[1835].start 26480.36534375
transcript.pyannote[1835].end 26482.54221875
transcript.pyannote[1836].speaker SPEAKER_30
transcript.pyannote[1836].start 26483.25096875
transcript.pyannote[1836].end 26485.19159375
transcript.pyannote[1837].speaker SPEAKER_30
transcript.pyannote[1837].start 26485.24221875
transcript.pyannote[1837].end 26485.79909375
transcript.pyannote[1838].speaker SPEAKER_30
transcript.pyannote[1838].start 26486.03534375
transcript.pyannote[1838].end 26490.64221875
transcript.pyannote[1839].speaker SPEAKER_30
transcript.pyannote[1839].start 26491.08096875
transcript.pyannote[1839].end 26494.59096875
transcript.pyannote[1840].speaker SPEAKER_30
transcript.pyannote[1840].start 26495.02971875
transcript.pyannote[1840].end 26496.58221875
transcript.pyannote[1841].speaker SPEAKER_30
transcript.pyannote[1841].start 26497.25721875
transcript.pyannote[1841].end 26499.73784375
transcript.pyannote[1842].speaker SPEAKER_30
transcript.pyannote[1842].start 26500.22721875
transcript.pyannote[1842].end 26503.14659375
transcript.pyannote[1843].speaker SPEAKER_30
transcript.pyannote[1843].start 26503.55159375
transcript.pyannote[1843].end 26505.69471875
transcript.pyannote[1844].speaker SPEAKER_30
transcript.pyannote[1844].start 26506.43721875
transcript.pyannote[1844].end 26509.17096875
transcript.pyannote[1845].speaker SPEAKER_30
transcript.pyannote[1845].start 26509.49159375
transcript.pyannote[1845].end 26511.16221875
transcript.pyannote[1846].speaker SPEAKER_30
transcript.pyannote[1846].start 26511.58409375
transcript.pyannote[1846].end 26513.69346875
transcript.pyannote[1847].speaker SPEAKER_30
transcript.pyannote[1847].start 26514.03096875
transcript.pyannote[1847].end 26515.31346875
transcript.pyannote[1848].speaker SPEAKER_30
transcript.pyannote[1848].start 26515.68471875
transcript.pyannote[1848].end 26517.99659375
transcript.pyannote[1849].speaker SPEAKER_30
transcript.pyannote[1849].start 26518.46909375
transcript.pyannote[1849].end 26520.20721875
transcript.pyannote[1850].speaker SPEAKER_30
transcript.pyannote[1850].start 26520.79784375
transcript.pyannote[1850].end 26524.69596875
transcript.pyannote[1851].speaker SPEAKER_30
transcript.pyannote[1851].start 26525.25284375
transcript.pyannote[1851].end 26529.62346875
transcript.pyannote[1852].speaker SPEAKER_30
transcript.pyannote[1852].start 26530.07909375
transcript.pyannote[1852].end 26530.51784375
transcript.pyannote[1853].speaker SPEAKER_30
transcript.pyannote[1853].start 26531.34471875
transcript.pyannote[1853].end 26532.64409375
transcript.pyannote[1854].speaker SPEAKER_30
transcript.pyannote[1854].start 26533.67346875
transcript.pyannote[1854].end 26535.29346875
transcript.pyannote[1855].speaker SPEAKER_30
transcript.pyannote[1855].start 26536.01909375
transcript.pyannote[1855].end 26537.79096875
transcript.pyannote[1856].speaker SPEAKER_30
transcript.pyannote[1856].start 26538.85409375
transcript.pyannote[1856].end 26541.31784375
transcript.pyannote[1857].speaker SPEAKER_30
transcript.pyannote[1857].start 26542.24596875
transcript.pyannote[1857].end 26544.45659375
transcript.pyannote[1858].speaker SPEAKER_30
transcript.pyannote[1858].start 26545.26659375
transcript.pyannote[1858].end 26547.00471875
transcript.pyannote[1859].speaker SPEAKER_30
transcript.pyannote[1859].start 26547.73034375
transcript.pyannote[1859].end 26548.23659375
transcript.pyannote[1860].speaker SPEAKER_30
transcript.pyannote[1860].start 26548.72596875
transcript.pyannote[1860].end 26551.25721875
transcript.pyannote[1861].speaker SPEAKER_30
transcript.pyannote[1861].start 26551.72971875
transcript.pyannote[1861].end 26554.22721875
transcript.pyannote[1862].speaker SPEAKER_30
transcript.pyannote[1862].start 26554.49721875
transcript.pyannote[1862].end 26556.20159375
transcript.pyannote[1863].speaker SPEAKER_30
transcript.pyannote[1863].start 26556.85971875
transcript.pyannote[1863].end 26557.70346875
transcript.pyannote[1864].speaker SPEAKER_30
transcript.pyannote[1864].start 26557.93971875
transcript.pyannote[1864].end 26559.47534375
transcript.pyannote[1865].speaker SPEAKER_25
transcript.pyannote[1865].start 26559.72846875
transcript.pyannote[1865].end 26559.94784375
transcript.pyannote[1866].speaker SPEAKER_30
transcript.pyannote[1866].start 26560.82534375
transcript.pyannote[1866].end 26564.21721875
transcript.pyannote[1867].speaker SPEAKER_30
transcript.pyannote[1867].start 26564.65596875
transcript.pyannote[1867].end 26565.28034375
transcript.pyannote[1868].speaker SPEAKER_30
transcript.pyannote[1868].start 26566.00596875
transcript.pyannote[1868].end 26567.69346875
transcript.pyannote[1869].speaker SPEAKER_30
transcript.pyannote[1869].start 26568.41909375
transcript.pyannote[1869].end 26569.34721875
transcript.pyannote[1870].speaker SPEAKER_30
transcript.pyannote[1870].start 26569.83659375
transcript.pyannote[1870].end 26571.62534375
transcript.pyannote[1871].speaker SPEAKER_30
transcript.pyannote[1871].start 26572.01346875
transcript.pyannote[1871].end 26573.56596875
transcript.pyannote[1872].speaker SPEAKER_30
transcript.pyannote[1872].start 26574.03846875
transcript.pyannote[1872].end 26574.84846875
transcript.pyannote[1873].speaker SPEAKER_30
transcript.pyannote[1873].start 26575.05096875
transcript.pyannote[1873].end 26575.86096875
transcript.pyannote[1874].speaker SPEAKER_30
transcript.pyannote[1874].start 26576.21534375
transcript.pyannote[1874].end 26576.85659375
transcript.pyannote[1875].speaker SPEAKER_30
transcript.pyannote[1875].start 26577.48096875
transcript.pyannote[1875].end 26578.66221875
transcript.pyannote[1876].speaker SPEAKER_30
transcript.pyannote[1876].start 26579.35409375
transcript.pyannote[1876].end 26579.77596875
transcript.pyannote[1877].speaker SPEAKER_30
transcript.pyannote[1877].start 26580.70409375
transcript.pyannote[1877].end 26585.53034375
transcript.pyannote[1878].speaker SPEAKER_30
transcript.pyannote[1878].start 26586.32346875
transcript.pyannote[1878].end 26587.01534375
transcript.pyannote[1879].speaker SPEAKER_30
transcript.pyannote[1879].start 26587.45409375
transcript.pyannote[1879].end 26588.97284375
transcript.pyannote[1880].speaker SPEAKER_30
transcript.pyannote[1880].start 26589.78284375
transcript.pyannote[1880].end 26594.03534375
transcript.pyannote[1881].speaker SPEAKER_30
transcript.pyannote[1881].start 26594.35596875
transcript.pyannote[1881].end 26595.72284375
transcript.pyannote[1882].speaker SPEAKER_30
transcript.pyannote[1882].start 26596.54971875
transcript.pyannote[1882].end 26598.62534375
transcript.pyannote[1883].speaker SPEAKER_30
transcript.pyannote[1883].start 26599.16534375
transcript.pyannote[1883].end 26600.14409375
transcript.pyannote[1884].speaker SPEAKER_30
transcript.pyannote[1884].start 26600.59971875
transcript.pyannote[1884].end 26602.81034375
transcript.pyannote[1885].speaker SPEAKER_30
transcript.pyannote[1885].start 26603.02971875
transcript.pyannote[1885].end 26604.85221875
transcript.pyannote[1886].speaker SPEAKER_30
transcript.pyannote[1886].start 26605.40909375
transcript.pyannote[1886].end 26606.45534375
transcript.pyannote[1887].speaker SPEAKER_30
transcript.pyannote[1887].start 26606.99534375
transcript.pyannote[1887].end 26607.99096875
transcript.pyannote[1888].speaker SPEAKER_30
transcript.pyannote[1888].start 26609.34096875
transcript.pyannote[1888].end 26611.48409375
transcript.pyannote[1889].speaker SPEAKER_30
transcript.pyannote[1889].start 26612.24346875
transcript.pyannote[1889].end 26612.59784375
transcript.pyannote[1890].speaker SPEAKER_30
transcript.pyannote[1890].start 26613.12096875
transcript.pyannote[1890].end 26614.30221875
transcript.pyannote[1891].speaker SPEAKER_30
transcript.pyannote[1891].start 26614.97721875
transcript.pyannote[1891].end 26616.47909375
transcript.pyannote[1892].speaker SPEAKER_30
transcript.pyannote[1892].start 26616.66471875
transcript.pyannote[1892].end 26617.45784375
transcript.pyannote[1893].speaker SPEAKER_30
transcript.pyannote[1893].start 26617.99784375
transcript.pyannote[1893].end 26621.22096875
transcript.pyannote[1894].speaker SPEAKER_30
transcript.pyannote[1894].start 26622.52034375
transcript.pyannote[1894].end 26624.15721875
transcript.pyannote[1895].speaker SPEAKER_30
transcript.pyannote[1895].start 26625.11909375
transcript.pyannote[1895].end 26625.37221875
transcript.pyannote[1896].speaker SPEAKER_30
transcript.pyannote[1896].start 26625.79409375
transcript.pyannote[1896].end 26628.17346875
transcript.pyannote[1897].speaker SPEAKER_30
transcript.pyannote[1897].start 26628.64596875
transcript.pyannote[1897].end 26629.69221875
transcript.pyannote[1898].speaker SPEAKER_30
transcript.pyannote[1898].start 26630.24909375
transcript.pyannote[1898].end 26633.15159375
transcript.pyannote[1899].speaker SPEAKER_30
transcript.pyannote[1899].start 26633.30346875
transcript.pyannote[1899].end 26634.83909375
transcript.pyannote[1900].speaker SPEAKER_30
transcript.pyannote[1900].start 26636.03721875
transcript.pyannote[1900].end 26638.56846875
transcript.pyannote[1901].speaker SPEAKER_30
transcript.pyannote[1901].start 26638.88909375
transcript.pyannote[1901].end 26641.36971875
transcript.pyannote[1902].speaker SPEAKER_30
transcript.pyannote[1902].start 26641.80846875
transcript.pyannote[1902].end 26645.53784375
transcript.pyannote[1903].speaker SPEAKER_30
transcript.pyannote[1903].start 26645.85846875
transcript.pyannote[1903].end 26648.77784375
transcript.pyannote[1904].speaker SPEAKER_30
transcript.pyannote[1904].start 26649.28409375
transcript.pyannote[1904].end 26652.50721875
transcript.pyannote[1905].speaker SPEAKER_30
transcript.pyannote[1905].start 26653.04721875
transcript.pyannote[1905].end 26654.11034375
transcript.pyannote[1906].speaker SPEAKER_30
transcript.pyannote[1906].start 26654.12721875
transcript.pyannote[1906].end 26655.25784375
transcript.pyannote[1907].speaker SPEAKER_30
transcript.pyannote[1907].start 26656.00034375
transcript.pyannote[1907].end 26656.79346875
transcript.pyannote[1908].speaker SPEAKER_30
transcript.pyannote[1908].start 26657.19846875
transcript.pyannote[1908].end 26661.45096875
transcript.pyannote[1909].speaker SPEAKER_30
transcript.pyannote[1909].start 26662.22721875
transcript.pyannote[1909].end 26664.94409375
transcript.pyannote[1910].speaker SPEAKER_30
transcript.pyannote[1910].start 26665.46721875
transcript.pyannote[1910].end 26670.25971875
transcript.pyannote[1911].speaker SPEAKER_30
transcript.pyannote[1911].start 26671.13721875
transcript.pyannote[1911].end 26674.07346875
transcript.pyannote[1912].speaker SPEAKER_30
transcript.pyannote[1912].start 26674.56284375
transcript.pyannote[1912].end 26677.60034375
transcript.pyannote[1913].speaker SPEAKER_30
transcript.pyannote[1913].start 26677.97159375
transcript.pyannote[1913].end 26680.09784375
transcript.pyannote[1914].speaker SPEAKER_30
transcript.pyannote[1914].start 26680.70534375
transcript.pyannote[1914].end 26681.78534375
transcript.pyannote[1915].speaker SPEAKER_30
transcript.pyannote[1915].start 26682.47721875
transcript.pyannote[1915].end 26683.03409375
transcript.pyannote[1916].speaker SPEAKER_30
transcript.pyannote[1916].start 26684.28284375
transcript.pyannote[1916].end 26685.64971875
transcript.pyannote[1917].speaker SPEAKER_30
transcript.pyannote[1917].start 26686.12221875
transcript.pyannote[1917].end 26687.40471875
transcript.pyannote[1918].speaker SPEAKER_30
transcript.pyannote[1918].start 26688.01221875
transcript.pyannote[1918].end 26692.93971875
transcript.pyannote[1919].speaker SPEAKER_30
transcript.pyannote[1919].start 26694.12096875
transcript.pyannote[1919].end 26694.91409375
transcript.pyannote[1920].speaker SPEAKER_30
transcript.pyannote[1920].start 26695.50471875
transcript.pyannote[1920].end 26697.25971875
transcript.pyannote[1921].speaker SPEAKER_30
transcript.pyannote[1921].start 26697.69846875
transcript.pyannote[1921].end 26698.77846875
transcript.pyannote[1922].speaker SPEAKER_30
transcript.pyannote[1922].start 26699.65596875
transcript.pyannote[1922].end 26703.50346875
transcript.pyannote[1923].speaker SPEAKER_30
transcript.pyannote[1923].start 26704.60034375
transcript.pyannote[1923].end 26705.96721875
transcript.pyannote[1924].speaker SPEAKER_30
transcript.pyannote[1924].start 26706.16971875
transcript.pyannote[1924].end 26708.21159375
transcript.pyannote[1925].speaker SPEAKER_30
transcript.pyannote[1925].start 26709.00471875
transcript.pyannote[1925].end 26710.97909375
transcript.pyannote[1926].speaker SPEAKER_30
transcript.pyannote[1926].start 26711.43471875
transcript.pyannote[1926].end 26712.27846875
transcript.pyannote[1927].speaker SPEAKER_30
transcript.pyannote[1927].start 26712.97034375
transcript.pyannote[1927].end 26715.45096875
transcript.pyannote[1928].speaker SPEAKER_30
transcript.pyannote[1928].start 26715.46784375
transcript.pyannote[1928].end 26720.71596875
transcript.pyannote[1929].speaker SPEAKER_30
transcript.pyannote[1929].start 26721.23909375
transcript.pyannote[1929].end 26722.03221875
transcript.pyannote[1930].speaker SPEAKER_30
transcript.pyannote[1930].start 26722.53846875
transcript.pyannote[1930].end 26723.90534375
transcript.pyannote[1931].speaker SPEAKER_30
transcript.pyannote[1931].start 26724.56346875
transcript.pyannote[1931].end 26728.84971875
transcript.pyannote[1932].speaker SPEAKER_30
transcript.pyannote[1932].start 26729.00159375
transcript.pyannote[1932].end 26730.82409375
transcript.pyannote[1933].speaker SPEAKER_30
transcript.pyannote[1933].start 26730.84096875
transcript.pyannote[1933].end 26732.25846875
transcript.pyannote[1934].speaker SPEAKER_30
transcript.pyannote[1934].start 26732.98409375
transcript.pyannote[1934].end 26733.99659375
transcript.pyannote[1935].speaker SPEAKER_30
transcript.pyannote[1935].start 26734.62096875
transcript.pyannote[1935].end 26736.54471875
transcript.pyannote[1936].speaker SPEAKER_30
transcript.pyannote[1936].start 26736.89909375
transcript.pyannote[1936].end 26740.08846875
transcript.pyannote[1937].speaker SPEAKER_30
transcript.pyannote[1937].start 26740.59471875
transcript.pyannote[1937].end 26743.51409375
transcript.pyannote[1938].speaker SPEAKER_30
transcript.pyannote[1938].start 26743.95284375
transcript.pyannote[1938].end 26746.72034375
transcript.pyannote[1939].speaker SPEAKER_30
transcript.pyannote[1939].start 26747.00721875
transcript.pyannote[1939].end 26748.64409375
transcript.pyannote[1940].speaker SPEAKER_30
transcript.pyannote[1940].start 26748.82971875
transcript.pyannote[1940].end 26754.75284375
transcript.pyannote[1941].speaker SPEAKER_17
transcript.pyannote[1941].start 26754.75284375
transcript.pyannote[1941].end 26755.59659375
transcript.pyannote[1942].speaker SPEAKER_17
transcript.pyannote[1942].start 26755.71471875
transcript.pyannote[1942].end 26756.94659375
transcript.pyannote[1943].speaker SPEAKER_17
transcript.pyannote[1943].start 26757.36846875
transcript.pyannote[1943].end 26759.56221875
transcript.pyannote[1944].speaker SPEAKER_17
transcript.pyannote[1944].start 26759.93346875
transcript.pyannote[1944].end 26764.97909375
transcript.pyannote[1945].speaker SPEAKER_17
transcript.pyannote[1945].start 26765.31659375
transcript.pyannote[1945].end 26768.23596875
transcript.pyannote[1946].speaker SPEAKER_17
transcript.pyannote[1946].start 26768.57346875
transcript.pyannote[1946].end 26771.77971875
transcript.pyannote[1947].speaker SPEAKER_17
transcript.pyannote[1947].start 26771.81346875
transcript.pyannote[1947].end 26773.75409375
transcript.pyannote[1948].speaker SPEAKER_17
transcript.pyannote[1948].start 26774.07471875
transcript.pyannote[1948].end 26776.67346875
transcript.pyannote[1949].speaker SPEAKER_17
transcript.pyannote[1949].start 26776.99409375
transcript.pyannote[1949].end 26778.68159375
transcript.pyannote[1950].speaker SPEAKER_17
transcript.pyannote[1950].start 26779.15409375
transcript.pyannote[1950].end 26781.02721875
transcript.pyannote[1951].speaker SPEAKER_17
transcript.pyannote[1951].start 26781.34784375
transcript.pyannote[1951].end 26785.70159375
transcript.pyannote[1952].speaker SPEAKER_17
transcript.pyannote[1952].start 26786.10659375
transcript.pyannote[1952].end 26787.13596875
transcript.pyannote[1953].speaker SPEAKER_17
transcript.pyannote[1953].start 26787.64221875
transcript.pyannote[1953].end 26789.73471875
transcript.pyannote[1954].speaker SPEAKER_17
transcript.pyannote[1954].start 26790.46034375
transcript.pyannote[1954].end 26802.23909375
transcript.pyannote[1955].speaker SPEAKER_30
transcript.pyannote[1955].start 26802.32346875
transcript.pyannote[1955].end 26803.65659375
transcript.pyannote[1956].speaker SPEAKER_17
transcript.pyannote[1956].start 26803.65659375
transcript.pyannote[1956].end 26803.67346875
transcript.pyannote[1957].speaker SPEAKER_07
transcript.pyannote[1957].start 26803.67346875
transcript.pyannote[1957].end 26806.54221875
transcript.pyannote[1958].speaker SPEAKER_07
transcript.pyannote[1958].start 26806.98096875
transcript.pyannote[1958].end 26809.30971875
transcript.pyannote[1959].speaker SPEAKER_07
transcript.pyannote[1959].start 26809.63034375
transcript.pyannote[1959].end 26812.39784375
transcript.pyannote[1960].speaker SPEAKER_07
transcript.pyannote[1960].start 26812.71846875
transcript.pyannote[1960].end 26813.61284375
transcript.pyannote[1961].speaker SPEAKER_07
transcript.pyannote[1961].start 26813.84909375
transcript.pyannote[1961].end 26816.29596875
transcript.pyannote[1962].speaker SPEAKER_30
transcript.pyannote[1962].start 26815.85721875
transcript.pyannote[1962].end 26817.88221875
transcript.pyannote[1963].speaker SPEAKER_30
transcript.pyannote[1963].start 26818.38846875
transcript.pyannote[1963].end 26820.80159375
transcript.pyannote[1964].speaker SPEAKER_30
transcript.pyannote[1964].start 26821.52721875
transcript.pyannote[1964].end 26824.00784375
transcript.pyannote[1965].speaker SPEAKER_30
transcript.pyannote[1965].start 26824.51409375
transcript.pyannote[1965].end 26826.85971875
transcript.pyannote[1966].speaker SPEAKER_30
transcript.pyannote[1966].start 26827.56846875
transcript.pyannote[1966].end 26829.12096875
transcript.pyannote[1967].speaker SPEAKER_30
transcript.pyannote[1967].start 26829.59346875
transcript.pyannote[1967].end 26830.84221875
transcript.pyannote[1968].speaker SPEAKER_30
transcript.pyannote[1968].start 26831.16284375
transcript.pyannote[1968].end 26831.85471875
transcript.pyannote[1969].speaker SPEAKER_30
transcript.pyannote[1969].start 26832.22596875
transcript.pyannote[1969].end 26835.70221875
transcript.pyannote[1970].speaker SPEAKER_30
transcript.pyannote[1970].start 26835.75284375
transcript.pyannote[1970].end 26836.37721875
transcript.pyannote[1971].speaker SPEAKER_30
transcript.pyannote[1971].start 26836.79909375
transcript.pyannote[1971].end 26837.74409375
transcript.pyannote[1972].speaker SPEAKER_30
transcript.pyannote[1972].start 26838.21659375
transcript.pyannote[1972].end 26839.21221875
transcript.pyannote[1973].speaker SPEAKER_30
transcript.pyannote[1973].start 26839.85346875
transcript.pyannote[1973].end 26844.12284375
transcript.pyannote[1974].speaker SPEAKER_30
transcript.pyannote[1974].start 26844.39284375
transcript.pyannote[1974].end 26844.98346875
transcript.pyannote[1975].speaker SPEAKER_30
transcript.pyannote[1975].start 26845.97909375
transcript.pyannote[1975].end 26849.40471875
transcript.pyannote[1976].speaker SPEAKER_30
transcript.pyannote[1976].start 26849.94471875
transcript.pyannote[1976].end 26851.07534375
transcript.pyannote[1977].speaker SPEAKER_30
transcript.pyannote[1977].start 26851.66596875
transcript.pyannote[1977].end 26853.77534375
transcript.pyannote[1978].speaker SPEAKER_30
transcript.pyannote[1978].start 26854.56846875
transcript.pyannote[1978].end 26854.83846875
transcript.pyannote[1979].speaker SPEAKER_30
transcript.pyannote[1979].start 26855.22659375
transcript.pyannote[1979].end 26857.77471875
transcript.pyannote[1980].speaker SPEAKER_30
transcript.pyannote[1980].start 26858.02784375
transcript.pyannote[1980].end 26860.37346875
transcript.pyannote[1981].speaker SPEAKER_30
transcript.pyannote[1981].start 26860.57596875
transcript.pyannote[1981].end 26861.21721875
transcript.pyannote[1982].speaker SPEAKER_30
transcript.pyannote[1982].start 26861.95971875
transcript.pyannote[1982].end 26863.79909375
transcript.pyannote[1983].speaker SPEAKER_30
transcript.pyannote[1983].start 26864.44034375
transcript.pyannote[1983].end 26865.72284375
transcript.pyannote[1984].speaker SPEAKER_30
transcript.pyannote[1984].start 26866.46534375
transcript.pyannote[1984].end 26868.91221875
transcript.pyannote[1985].speaker SPEAKER_30
transcript.pyannote[1985].start 26868.96284375
transcript.pyannote[1985].end 26873.18159375
transcript.pyannote[1986].speaker SPEAKER_30
transcript.pyannote[1986].start 26873.72159375
transcript.pyannote[1986].end 26878.53096875
transcript.pyannote[1987].speaker SPEAKER_30
transcript.pyannote[1987].start 26878.86846875
transcript.pyannote[1987].end 26884.40346875
transcript.pyannote[1988].speaker SPEAKER_30
transcript.pyannote[1988].start 26884.74096875
transcript.pyannote[1988].end 26885.04471875
transcript.pyannote[1989].speaker SPEAKER_07
transcript.pyannote[1989].start 26885.34846875
transcript.pyannote[1989].end 26889.02721875
transcript.pyannote[1990].speaker SPEAKER_07
transcript.pyannote[1990].start 26889.36471875
transcript.pyannote[1990].end 26892.16596875
transcript.pyannote[1991].speaker SPEAKER_07
transcript.pyannote[1991].start 26892.50346875
transcript.pyannote[1991].end 26896.53659375
transcript.pyannote[1992].speaker SPEAKER_07
transcript.pyannote[1992].start 26896.84034375
transcript.pyannote[1992].end 26899.05096875
transcript.pyannote[1993].speaker SPEAKER_07
transcript.pyannote[1993].start 26899.48971875
transcript.pyannote[1993].end 26902.34159375
transcript.pyannote[1994].speaker SPEAKER_07
transcript.pyannote[1994].start 26902.57784375
transcript.pyannote[1994].end 26904.55221875
transcript.pyannote[1995].speaker SPEAKER_07
transcript.pyannote[1995].start 26904.60284375
transcript.pyannote[1995].end 26905.96971875
transcript.pyannote[1996].speaker SPEAKER_30
transcript.pyannote[1996].start 26905.96971875
transcript.pyannote[1996].end 26907.30284375
transcript.pyannote[1997].speaker SPEAKER_30
transcript.pyannote[1997].start 26908.29846875
transcript.pyannote[1997].end 26908.95659375
transcript.pyannote[1998].speaker SPEAKER_30
transcript.pyannote[1998].start 26910.20534375
transcript.pyannote[1998].end 26911.42034375
transcript.pyannote[1999].speaker SPEAKER_30
transcript.pyannote[1999].start 26913.27659375
transcript.pyannote[1999].end 26914.03596875
transcript.pyannote[2000].speaker SPEAKER_30
transcript.pyannote[2000].start 26914.74471875
transcript.pyannote[2000].end 26919.70596875
transcript.pyannote[2001].speaker SPEAKER_30
transcript.pyannote[2001].start 26920.21221875
transcript.pyannote[2001].end 26923.41846875
transcript.pyannote[2002].speaker SPEAKER_30
transcript.pyannote[2002].start 26923.73909375
transcript.pyannote[2002].end 26924.39721875
transcript.pyannote[2003].speaker SPEAKER_30
transcript.pyannote[2003].start 26924.85284375
transcript.pyannote[2003].end 26926.70909375
transcript.pyannote[2004].speaker SPEAKER_30
transcript.pyannote[2004].start 26927.72159375
transcript.pyannote[2004].end 26929.54409375
transcript.pyannote[2005].speaker SPEAKER_30
transcript.pyannote[2005].start 26929.89846875
transcript.pyannote[2005].end 26931.06284375
transcript.pyannote[2006].speaker SPEAKER_30
transcript.pyannote[2006].start 26931.55221875
transcript.pyannote[2006].end 26933.34096875
transcript.pyannote[2007].speaker SPEAKER_30
transcript.pyannote[2007].start 26933.74596875
transcript.pyannote[2007].end 26934.26909375
transcript.pyannote[2008].speaker SPEAKER_30
transcript.pyannote[2008].start 26934.48846875
transcript.pyannote[2008].end 26940.68159375
transcript.pyannote[2009].speaker SPEAKER_30
transcript.pyannote[2009].start 26940.98534375
transcript.pyannote[2009].end 26943.22971875
transcript.pyannote[2010].speaker SPEAKER_30
transcript.pyannote[2010].start 26943.98909375
transcript.pyannote[2010].end 26945.82846875
transcript.pyannote[2011].speaker SPEAKER_30
transcript.pyannote[2011].start 26945.96346875
transcript.pyannote[2011].end 26946.67221875
transcript.pyannote[2012].speaker SPEAKER_30
transcript.pyannote[2012].start 26948.02221875
transcript.pyannote[2012].end 26960.66159375
transcript.pyannote[2013].speaker SPEAKER_00
transcript.pyannote[2013].start 26952.00471875
transcript.pyannote[2013].end 26952.46034375
transcript.pyannote[2014].speaker SPEAKER_30
transcript.pyannote[2014].start 26961.45471875
transcript.pyannote[2014].end 26962.78784375
transcript.pyannote[2015].speaker SPEAKER_30
transcript.pyannote[2015].start 26963.27721875
transcript.pyannote[2015].end 26965.08284375
transcript.pyannote[2016].speaker SPEAKER_30
transcript.pyannote[2016].start 26965.57221875
transcript.pyannote[2016].end 26966.51721875
transcript.pyannote[2017].speaker SPEAKER_30
transcript.pyannote[2017].start 26966.97284375
transcript.pyannote[2017].end 26969.16659375
transcript.pyannote[2018].speaker SPEAKER_30
transcript.pyannote[2018].start 26969.65596875
transcript.pyannote[2018].end 26973.68909375
transcript.pyannote[2019].speaker SPEAKER_30
transcript.pyannote[2019].start 26974.16159375
transcript.pyannote[2019].end 26978.46471875
transcript.pyannote[2020].speaker SPEAKER_30
transcript.pyannote[2020].start 26978.75159375
transcript.pyannote[2020].end 26982.02534375
transcript.pyannote[2021].speaker SPEAKER_30
transcript.pyannote[2021].start 26982.43034375
transcript.pyannote[2021].end 26984.92784375
transcript.pyannote[2022].speaker SPEAKER_30
transcript.pyannote[2022].start 26985.58596875
transcript.pyannote[2022].end 26987.44221875
transcript.pyannote[2023].speaker SPEAKER_30
transcript.pyannote[2023].start 26988.21846875
transcript.pyannote[2023].end 26988.82596875
transcript.pyannote[2024].speaker SPEAKER_30
transcript.pyannote[2024].start 26989.26471875
transcript.pyannote[2024].end 26990.09159375
transcript.pyannote[2025].speaker SPEAKER_30
transcript.pyannote[2025].start 26990.26034375
transcript.pyannote[2025].end 26991.30659375
transcript.pyannote[2026].speaker SPEAKER_30
transcript.pyannote[2026].start 26992.16721875
transcript.pyannote[2026].end 26993.28096875
transcript.pyannote[2027].speaker SPEAKER_30
transcript.pyannote[2027].start 26993.63534375
transcript.pyannote[2027].end 26994.59721875
transcript.pyannote[2028].speaker SPEAKER_30
transcript.pyannote[2028].start 26995.01909375
transcript.pyannote[2028].end 26995.79534375
transcript.pyannote[2029].speaker SPEAKER_30
transcript.pyannote[2029].start 26995.99784375
transcript.pyannote[2029].end 26996.74034375
transcript.pyannote[2030].speaker SPEAKER_30
transcript.pyannote[2030].start 26997.43221875
transcript.pyannote[2030].end 26998.14096875
transcript.pyannote[2031].speaker SPEAKER_30
transcript.pyannote[2031].start 26998.51221875
transcript.pyannote[2031].end 26999.57534375
transcript.pyannote[2032].speaker SPEAKER_30
transcript.pyannote[2032].start 27000.01409375
transcript.pyannote[2032].end 27002.03909375
transcript.pyannote[2033].speaker SPEAKER_30
transcript.pyannote[2033].start 27002.56221875
transcript.pyannote[2033].end 27003.55784375
transcript.pyannote[2034].speaker SPEAKER_30
transcript.pyannote[2034].start 27003.70971875
transcript.pyannote[2034].end 27006.07221875
transcript.pyannote[2035].speaker SPEAKER_30
transcript.pyannote[2035].start 27006.52784375
transcript.pyannote[2035].end 27007.99596875
transcript.pyannote[2036].speaker SPEAKER_30
transcript.pyannote[2036].start 27008.43471875
transcript.pyannote[2036].end 27008.87346875
transcript.pyannote[2037].speaker SPEAKER_30
transcript.pyannote[2037].start 27009.27846875
transcript.pyannote[2037].end 27009.76784375
transcript.pyannote[2038].speaker SPEAKER_30
transcript.pyannote[2038].start 27009.98721875
transcript.pyannote[2038].end 27011.43846875
transcript.pyannote[2039].speaker SPEAKER_30
transcript.pyannote[2039].start 27011.77596875
transcript.pyannote[2039].end 27013.10909375
transcript.pyannote[2040].speaker SPEAKER_17
transcript.pyannote[2040].start 27013.10909375
transcript.pyannote[2040].end 27013.12596875
transcript.pyannote[2041].speaker SPEAKER_16
transcript.pyannote[2041].start 27013.76721875
transcript.pyannote[2041].end 27013.95284375
transcript.pyannote[2042].speaker SPEAKER_17
transcript.pyannote[2042].start 27014.29034375
transcript.pyannote[2042].end 27015.48846875
transcript.pyannote[2043].speaker SPEAKER_17
transcript.pyannote[2043].start 27015.75846875
transcript.pyannote[2043].end 27020.38221875
transcript.pyannote[2044].speaker SPEAKER_17
transcript.pyannote[2044].start 27020.80409375
transcript.pyannote[2044].end 27021.59721875
transcript.pyannote[2045].speaker SPEAKER_17
transcript.pyannote[2045].start 27021.81659375
transcript.pyannote[2045].end 27024.95534375
transcript.pyannote[2046].speaker SPEAKER_17
transcript.pyannote[2046].start 27025.52909375
transcript.pyannote[2046].end 27034.40534375
transcript.pyannote[2047].speaker SPEAKER_00
transcript.pyannote[2047].start 27032.22846875
transcript.pyannote[2047].end 27032.26221875
transcript.pyannote[2048].speaker SPEAKER_25
transcript.pyannote[2048].start 27032.26221875
transcript.pyannote[2048].end 27033.12284375
transcript.pyannote[2049].speaker SPEAKER_17
transcript.pyannote[2049].start 27034.72596875
transcript.pyannote[2049].end 27035.43471875
transcript.pyannote[2050].speaker SPEAKER_17
transcript.pyannote[2050].start 27035.97471875
transcript.pyannote[2050].end 27039.06284375
transcript.pyannote[2051].speaker SPEAKER_25
transcript.pyannote[2051].start 27039.06284375
transcript.pyannote[2051].end 27039.95721875
transcript.pyannote[2052].speaker SPEAKER_17
transcript.pyannote[2052].start 27039.24846875
transcript.pyannote[2052].end 27057.05159375
transcript.pyannote[2053].speaker SPEAKER_07
transcript.pyannote[2053].start 27057.30471875
transcript.pyannote[2053].end 27061.96221875
transcript.pyannote[2054].speaker SPEAKER_07
transcript.pyannote[2054].start 27062.33346875
transcript.pyannote[2054].end 27063.41346875
transcript.pyannote[2055].speaker SPEAKER_07
transcript.pyannote[2055].start 27063.78471875
transcript.pyannote[2055].end 27066.36659375
transcript.pyannote[2056].speaker SPEAKER_07
transcript.pyannote[2056].start 27066.63659375
transcript.pyannote[2056].end 27069.06659375
transcript.pyannote[2057].speaker SPEAKER_30
transcript.pyannote[2057].start 27066.82221875
transcript.pyannote[2057].end 27075.22596875
transcript.pyannote[2058].speaker SPEAKER_30
transcript.pyannote[2058].start 27075.37784375
transcript.pyannote[2058].end 27077.72346875
transcript.pyannote[2059].speaker SPEAKER_30
transcript.pyannote[2059].start 27079.39409375
transcript.pyannote[2059].end 27080.50784375
transcript.pyannote[2060].speaker SPEAKER_30
transcript.pyannote[2060].start 27080.79471875
transcript.pyannote[2060].end 27085.04721875
transcript.pyannote[2061].speaker SPEAKER_30
transcript.pyannote[2061].start 27085.45221875
transcript.pyannote[2061].end 27089.68784375
transcript.pyannote[2062].speaker SPEAKER_30
transcript.pyannote[2062].start 27090.07596875
transcript.pyannote[2062].end 27096.43784375
transcript.pyannote[2063].speaker SPEAKER_30
transcript.pyannote[2063].start 27097.04534375
transcript.pyannote[2063].end 27098.53034375
transcript.pyannote[2064].speaker SPEAKER_30
transcript.pyannote[2064].start 27098.80034375
transcript.pyannote[2064].end 27099.47534375
transcript.pyannote[2065].speaker SPEAKER_30
transcript.pyannote[2065].start 27099.93096875
transcript.pyannote[2065].end 27101.17971875
transcript.pyannote[2066].speaker SPEAKER_30
transcript.pyannote[2066].start 27101.55096875
transcript.pyannote[2066].end 27104.20034375
transcript.pyannote[2067].speaker SPEAKER_30
transcript.pyannote[2067].start 27104.63909375
transcript.pyannote[2067].end 27110.03909375
transcript.pyannote[2068].speaker SPEAKER_30
transcript.pyannote[2068].start 27110.56221875
transcript.pyannote[2068].end 27111.64221875
transcript.pyannote[2069].speaker SPEAKER_25
transcript.pyannote[2069].start 27110.96721875
transcript.pyannote[2069].end 27111.11909375
transcript.pyannote[2070].speaker SPEAKER_30
transcript.pyannote[2070].start 27111.81096875
transcript.pyannote[2070].end 27116.11409375
transcript.pyannote[2071].speaker SPEAKER_30
transcript.pyannote[2071].start 27116.50221875
transcript.pyannote[2071].end 27118.17284375
transcript.pyannote[2072].speaker SPEAKER_30
transcript.pyannote[2072].start 27118.56096875
transcript.pyannote[2072].end 27119.53971875
transcript.pyannote[2073].speaker SPEAKER_30
transcript.pyannote[2073].start 27119.82659375
transcript.pyannote[2073].end 27126.34034375
transcript.pyannote[2074].speaker SPEAKER_30
transcript.pyannote[2074].start 27126.84659375
transcript.pyannote[2074].end 27130.57596875
transcript.pyannote[2075].speaker SPEAKER_30
transcript.pyannote[2075].start 27130.93034375
transcript.pyannote[2075].end 27131.80784375
transcript.pyannote[2076].speaker SPEAKER_30
transcript.pyannote[2076].start 27132.07784375
transcript.pyannote[2076].end 27133.69784375
transcript.pyannote[2077].speaker SPEAKER_30
transcript.pyannote[2077].start 27134.30534375
transcript.pyannote[2077].end 27136.33034375
transcript.pyannote[2078].speaker SPEAKER_30
transcript.pyannote[2078].start 27136.65096875
transcript.pyannote[2078].end 27138.08534375
transcript.pyannote[2079].speaker SPEAKER_30
transcript.pyannote[2079].start 27138.15284375
transcript.pyannote[2079].end 27140.11034375
transcript.pyannote[2080].speaker SPEAKER_30
transcript.pyannote[2080].start 27140.49846875
transcript.pyannote[2080].end 27141.64596875
transcript.pyannote[2081].speaker SPEAKER_30
transcript.pyannote[2081].start 27141.88221875
transcript.pyannote[2081].end 27142.32096875
transcript.pyannote[2082].speaker SPEAKER_30
transcript.pyannote[2082].start 27142.86096875
transcript.pyannote[2082].end 27144.53159375
transcript.pyannote[2083].speaker SPEAKER_30
transcript.pyannote[2083].start 27145.08846875
transcript.pyannote[2083].end 27148.09221875
transcript.pyannote[2084].speaker SPEAKER_30
transcript.pyannote[2084].start 27148.61534375
transcript.pyannote[2084].end 27150.75846875
transcript.pyannote[2085].speaker SPEAKER_30
transcript.pyannote[2085].start 27151.14659375
transcript.pyannote[2085].end 27153.03659375
transcript.pyannote[2086].speaker SPEAKER_30
transcript.pyannote[2086].start 27153.39096875
transcript.pyannote[2086].end 27155.71971875
transcript.pyannote[2087].speaker SPEAKER_30
transcript.pyannote[2087].start 27155.88846875
transcript.pyannote[2087].end 27157.52534375
transcript.pyannote[2088].speaker SPEAKER_30
transcript.pyannote[2088].start 27157.82909375
transcript.pyannote[2088].end 27161.00159375
transcript.pyannote[2089].speaker SPEAKER_30
transcript.pyannote[2089].start 27161.37284375
transcript.pyannote[2089].end 27163.48221875
transcript.pyannote[2090].speaker SPEAKER_30
transcript.pyannote[2090].start 27163.71846875
transcript.pyannote[2090].end 27164.29221875
transcript.pyannote[2091].speaker SPEAKER_30
transcript.pyannote[2091].start 27164.51159375
transcript.pyannote[2091].end 27169.48971875
transcript.pyannote[2092].speaker SPEAKER_30
transcript.pyannote[2092].start 27170.24909375
transcript.pyannote[2092].end 27171.00846875
transcript.pyannote[2093].speaker SPEAKER_30
transcript.pyannote[2093].start 27171.24471875
transcript.pyannote[2093].end 27172.37534375
transcript.pyannote[2094].speaker SPEAKER_30
transcript.pyannote[2094].start 27172.45971875
transcript.pyannote[2094].end 27175.75034375
transcript.pyannote[2095].speaker SPEAKER_30
transcript.pyannote[2095].start 27176.44221875
transcript.pyannote[2095].end 27176.89784375
transcript.pyannote[2096].speaker SPEAKER_30
transcript.pyannote[2096].start 27178.19721875
transcript.pyannote[2096].end 27179.17596875
transcript.pyannote[2097].speaker SPEAKER_30
transcript.pyannote[2097].start 27179.59784375
transcript.pyannote[2097].end 27180.62721875
transcript.pyannote[2098].speaker SPEAKER_30
transcript.pyannote[2098].start 27180.88034375
transcript.pyannote[2098].end 27183.91784375
transcript.pyannote[2099].speaker SPEAKER_30
transcript.pyannote[2099].start 27184.45784375
transcript.pyannote[2099].end 27184.94721875
transcript.pyannote[2100].speaker SPEAKER_30
transcript.pyannote[2100].start 27185.65596875
transcript.pyannote[2100].end 27190.93784375
transcript.pyannote[2101].speaker SPEAKER_30
transcript.pyannote[2101].start 27191.44409375
transcript.pyannote[2101].end 27192.86159375
transcript.pyannote[2102].speaker SPEAKER_30
transcript.pyannote[2102].start 27193.18221875
transcript.pyannote[2102].end 27194.07659375
transcript.pyannote[2103].speaker SPEAKER_30
transcript.pyannote[2103].start 27194.53221875
transcript.pyannote[2103].end 27195.56159375
transcript.pyannote[2104].speaker SPEAKER_30
transcript.pyannote[2104].start 27196.37159375
transcript.pyannote[2104].end 27198.56534375
transcript.pyannote[2105].speaker SPEAKER_30
transcript.pyannote[2105].start 27198.98721875
transcript.pyannote[2105].end 27199.83096875
transcript.pyannote[2106].speaker SPEAKER_30
transcript.pyannote[2106].start 27200.21909375
transcript.pyannote[2106].end 27202.02471875
transcript.pyannote[2107].speaker SPEAKER_30
transcript.pyannote[2107].start 27202.22721875
transcript.pyannote[2107].end 27205.36596875
transcript.pyannote[2108].speaker SPEAKER_30
transcript.pyannote[2108].start 27205.58534375
transcript.pyannote[2108].end 27206.98596875
transcript.pyannote[2109].speaker SPEAKER_30
transcript.pyannote[2109].start 27207.42471875
transcript.pyannote[2109].end 27209.66909375
transcript.pyannote[2110].speaker SPEAKER_30
transcript.pyannote[2110].start 27209.85471875
transcript.pyannote[2110].end 27214.15784375
transcript.pyannote[2111].speaker SPEAKER_30
transcript.pyannote[2111].start 27214.61346875
transcript.pyannote[2111].end 27215.81159375
transcript.pyannote[2112].speaker SPEAKER_30
transcript.pyannote[2112].start 27215.96346875
transcript.pyannote[2112].end 27218.34284375
transcript.pyannote[2113].speaker SPEAKER_17
transcript.pyannote[2113].start 27218.81534375
transcript.pyannote[2113].end 27236.93909375
transcript.pyannote[2114].speaker SPEAKER_00
transcript.pyannote[2114].start 27231.60659375
transcript.pyannote[2114].end 27231.89346875
transcript.pyannote[2115].speaker SPEAKER_25
transcript.pyannote[2115].start 27231.89346875
transcript.pyannote[2115].end 27231.91034375
transcript.pyannote[2116].speaker SPEAKER_00
transcript.pyannote[2116].start 27231.91034375
transcript.pyannote[2116].end 27231.96096875
transcript.pyannote[2117].speaker SPEAKER_25
transcript.pyannote[2117].start 27231.96096875
transcript.pyannote[2117].end 27231.97784375
transcript.pyannote[2118].speaker SPEAKER_00
transcript.pyannote[2118].start 27231.97784375
transcript.pyannote[2118].end 27232.18034375
transcript.pyannote[2119].speaker SPEAKER_17
transcript.pyannote[2119].start 27237.88409375
transcript.pyannote[2119].end 27238.49159375
transcript.pyannote[2120].speaker SPEAKER_17
transcript.pyannote[2120].start 27238.79534375
transcript.pyannote[2120].end 27240.46596875
transcript.pyannote[2121].speaker SPEAKER_30
transcript.pyannote[2121].start 27241.03971875
transcript.pyannote[2121].end 27244.87034375
transcript.pyannote[2122].speaker SPEAKER_17
transcript.pyannote[2122].start 27242.62596875
transcript.pyannote[2122].end 27250.75971875
transcript.pyannote[2123].speaker SPEAKER_30
transcript.pyannote[2123].start 27247.85721875
transcript.pyannote[2123].end 27252.66659375
transcript.pyannote[2124].speaker SPEAKER_30
transcript.pyannote[2124].start 27252.75096875
transcript.pyannote[2124].end 27255.14721875
transcript.pyannote[2125].speaker SPEAKER_30
transcript.pyannote[2125].start 27255.29909375
transcript.pyannote[2125].end 27257.89784375
transcript.pyannote[2126].speaker SPEAKER_30
transcript.pyannote[2126].start 27258.40409375
transcript.pyannote[2126].end 27262.30221875
transcript.pyannote[2127].speaker SPEAKER_30
transcript.pyannote[2127].start 27262.94346875
transcript.pyannote[2127].end 27264.81659375
transcript.pyannote[2128].speaker SPEAKER_30
transcript.pyannote[2128].start 27264.95159375
transcript.pyannote[2128].end 27268.76534375
transcript.pyannote[2129].speaker SPEAKER_17
transcript.pyannote[2129].start 27269.30534375
transcript.pyannote[2129].end 27281.03346875
transcript.pyannote[2130].speaker SPEAKER_30
transcript.pyannote[2130].start 27281.18534375
transcript.pyannote[2130].end 27282.82221875
transcript.pyannote[2131].speaker SPEAKER_30
transcript.pyannote[2131].start 27282.99096875
transcript.pyannote[2131].end 27288.89721875
transcript.pyannote[2132].speaker SPEAKER_30
transcript.pyannote[2132].start 27289.15034375
transcript.pyannote[2132].end 27294.66846875
transcript.pyannote[2133].speaker SPEAKER_30
transcript.pyannote[2133].start 27295.10721875
transcript.pyannote[2133].end 27295.66409375
transcript.pyannote[2134].speaker SPEAKER_30
transcript.pyannote[2134].start 27296.05221875
transcript.pyannote[2134].end 27301.73909375
transcript.pyannote[2135].speaker SPEAKER_30
transcript.pyannote[2135].start 27302.02596875
transcript.pyannote[2135].end 27304.13534375
transcript.pyannote[2136].speaker SPEAKER_03
transcript.pyannote[2136].start 27302.95409375
transcript.pyannote[2136].end 27303.44346875
transcript.pyannote[2137].speaker SPEAKER_03
transcript.pyannote[2137].start 27305.63721875
transcript.pyannote[2137].end 27306.76784375
transcript.pyannote[2138].speaker SPEAKER_03
transcript.pyannote[2138].start 27310.10909375
transcript.pyannote[2138].end 27312.03284375
transcript.pyannote[2139].speaker SPEAKER_03
transcript.pyannote[2139].start 27313.56846875
transcript.pyannote[2139].end 27320.90909375
transcript.pyannote[2140].speaker SPEAKER_09
transcript.pyannote[2140].start 27337.76721875
transcript.pyannote[2140].end 27339.23534375
transcript.pyannote[2141].speaker SPEAKER_09
transcript.pyannote[2141].start 27339.65721875
transcript.pyannote[2141].end 27342.13784375
transcript.pyannote[2142].speaker SPEAKER_03
transcript.pyannote[2142].start 27342.91409375
transcript.pyannote[2142].end 27345.63096875
transcript.pyannote[2143].speaker SPEAKER_17
transcript.pyannote[2143].start 27353.07284375
transcript.pyannote[2143].end 27354.38909375
transcript.pyannote[2144].speaker SPEAKER_09
transcript.pyannote[2144].start 27353.17409375
transcript.pyannote[2144].end 27353.61284375
transcript.pyannote[2145].speaker SPEAKER_09
transcript.pyannote[2145].start 27354.38909375
transcript.pyannote[2145].end 27355.80659375
transcript.pyannote[2146].speaker SPEAKER_17
transcript.pyannote[2146].start 27354.99659375
transcript.pyannote[2146].end 27355.99221875
transcript.pyannote[2147].speaker SPEAKER_09
transcript.pyannote[2147].start 27355.99221875
transcript.pyannote[2147].end 27356.00909375
transcript.pyannote[2148].speaker SPEAKER_09
transcript.pyannote[2148].start 27356.43096875
transcript.pyannote[2148].end 27358.13534375
transcript.pyannote[2149].speaker SPEAKER_09
transcript.pyannote[2149].start 27358.15221875
transcript.pyannote[2149].end 27358.99596875
transcript.pyannote[2150].speaker SPEAKER_09
transcript.pyannote[2150].start 27359.51909375
transcript.pyannote[2150].end 27361.00409375
transcript.pyannote[2151].speaker SPEAKER_09
transcript.pyannote[2151].start 27361.39221875
transcript.pyannote[2151].end 27361.89846875
transcript.pyannote[2152].speaker SPEAKER_09
transcript.pyannote[2152].start 27362.38784375
transcript.pyannote[2152].end 27363.23159375
transcript.pyannote[2153].speaker SPEAKER_09
transcript.pyannote[2153].start 27363.87284375
transcript.pyannote[2153].end 27365.00346875
transcript.pyannote[2154].speaker SPEAKER_09
transcript.pyannote[2154].start 27365.34096875
transcript.pyannote[2154].end 27366.69096875
transcript.pyannote[2155].speaker SPEAKER_09
transcript.pyannote[2155].start 27367.09596875
transcript.pyannote[2155].end 27368.46284375
transcript.pyannote[2156].speaker SPEAKER_09
transcript.pyannote[2156].start 27369.18846875
transcript.pyannote[2156].end 27370.18409375
transcript.pyannote[2157].speaker SPEAKER_09
transcript.pyannote[2157].start 27370.87596875
transcript.pyannote[2157].end 27373.76159375
transcript.pyannote[2158].speaker SPEAKER_09
transcript.pyannote[2158].start 27374.45346875
transcript.pyannote[2158].end 27375.02721875
transcript.pyannote[2159].speaker SPEAKER_09
transcript.pyannote[2159].start 27375.70221875
transcript.pyannote[2159].end 27376.51221875
transcript.pyannote[2160].speaker SPEAKER_09
transcript.pyannote[2160].start 27377.55846875
transcript.pyannote[2160].end 27378.82409375
transcript.pyannote[2161].speaker SPEAKER_17
transcript.pyannote[2161].start 27379.90409375
transcript.pyannote[2161].end 27382.53659375
transcript.pyannote[2162].speaker SPEAKER_09
transcript.pyannote[2162].start 27383.17784375
transcript.pyannote[2162].end 27383.59971875
transcript.pyannote[2163].speaker SPEAKER_09
transcript.pyannote[2163].start 27384.17346875
transcript.pyannote[2163].end 27388.51034375
transcript.pyannote[2164].speaker SPEAKER_09
transcript.pyannote[2164].start 27388.94909375
transcript.pyannote[2164].end 27391.04159375
transcript.pyannote[2165].speaker SPEAKER_09
transcript.pyannote[2165].start 27391.27784375
transcript.pyannote[2165].end 27394.07909375
transcript.pyannote[2166].speaker SPEAKER_09
transcript.pyannote[2166].start 27394.39971875
transcript.pyannote[2166].end 27394.95659375
transcript.pyannote[2167].speaker SPEAKER_09
transcript.pyannote[2167].start 27395.44596875
transcript.pyannote[2167].end 27397.36971875
transcript.pyannote[2168].speaker SPEAKER_09
transcript.pyannote[2168].start 27397.87596875
transcript.pyannote[2168].end 27398.16284375
transcript.pyannote[2169].speaker SPEAKER_09
transcript.pyannote[2169].start 27398.61846875
transcript.pyannote[2169].end 27400.87971875
transcript.pyannote[2170].speaker SPEAKER_09
transcript.pyannote[2170].start 27401.20034375
transcript.pyannote[2170].end 27401.23409375
transcript.pyannote[2171].speaker SPEAKER_06
transcript.pyannote[2171].start 27401.23409375
transcript.pyannote[2171].end 27401.48721875
transcript.pyannote[2172].speaker SPEAKER_09
transcript.pyannote[2172].start 27401.48721875
transcript.pyannote[2172].end 27401.52096875
transcript.pyannote[2173].speaker SPEAKER_09
transcript.pyannote[2173].start 27401.60534375
transcript.pyannote[2173].end 27403.46159375
transcript.pyannote[2174].speaker SPEAKER_09
transcript.pyannote[2174].start 27403.96784375
transcript.pyannote[2174].end 27404.86221875
transcript.pyannote[2175].speaker SPEAKER_09
transcript.pyannote[2175].start 27405.58784375
transcript.pyannote[2175].end 27408.50721875
transcript.pyannote[2176].speaker SPEAKER_09
transcript.pyannote[2176].start 27408.94596875
transcript.pyannote[2176].end 27410.21159375
transcript.pyannote[2177].speaker SPEAKER_09
transcript.pyannote[2177].start 27411.00471875
transcript.pyannote[2177].end 27412.13534375
transcript.pyannote[2178].speaker SPEAKER_09
transcript.pyannote[2178].start 27412.43909375
transcript.pyannote[2178].end 27413.50221875
transcript.pyannote[2179].speaker SPEAKER_09
transcript.pyannote[2179].start 27415.37534375
transcript.pyannote[2179].end 27417.11346875
transcript.pyannote[2180].speaker SPEAKER_09
transcript.pyannote[2180].start 27417.61971875
transcript.pyannote[2180].end 27419.76284375
transcript.pyannote[2181].speaker SPEAKER_09
transcript.pyannote[2181].start 27421.26471875
transcript.pyannote[2181].end 27422.39534375
transcript.pyannote[2182].speaker SPEAKER_09
transcript.pyannote[2182].start 27423.03659375
transcript.pyannote[2182].end 27424.33596875
transcript.pyannote[2183].speaker SPEAKER_09
transcript.pyannote[2183].start 27426.42846875
transcript.pyannote[2183].end 27427.01909375
transcript.pyannote[2184].speaker SPEAKER_09
transcript.pyannote[2184].start 27427.50846875
transcript.pyannote[2184].end 27428.41971875
transcript.pyannote[2185].speaker SPEAKER_09
transcript.pyannote[2185].start 27428.72346875
transcript.pyannote[2185].end 27429.60096875
transcript.pyannote[2186].speaker SPEAKER_09
transcript.pyannote[2186].start 27430.39409375
transcript.pyannote[2186].end 27431.38971875
transcript.pyannote[2187].speaker SPEAKER_09
transcript.pyannote[2187].start 27432.14909375
transcript.pyannote[2187].end 27436.14846875
transcript.pyannote[2188].speaker SPEAKER_09
transcript.pyannote[2188].start 27436.95846875
transcript.pyannote[2188].end 27438.81471875
transcript.pyannote[2189].speaker SPEAKER_09
transcript.pyannote[2189].start 27439.27034375
transcript.pyannote[2189].end 27440.70471875
transcript.pyannote[2190].speaker SPEAKER_09
transcript.pyannote[2190].start 27440.95784375
transcript.pyannote[2190].end 27441.81846875
transcript.pyannote[2191].speaker SPEAKER_09
transcript.pyannote[2191].start 27442.39221875
transcript.pyannote[2191].end 27442.74659375
transcript.pyannote[2192].speaker SPEAKER_09
transcript.pyannote[2192].start 27443.70846875
transcript.pyannote[2192].end 27444.26534375
transcript.pyannote[2193].speaker SPEAKER_09
transcript.pyannote[2193].start 27444.65346875
transcript.pyannote[2193].end 27446.10471875
transcript.pyannote[2194].speaker SPEAKER_09
transcript.pyannote[2194].start 27446.64471875
transcript.pyannote[2194].end 27449.59784375
transcript.pyannote[2195].speaker SPEAKER_09
transcript.pyannote[2195].start 27450.30659375
transcript.pyannote[2195].end 27452.78721875
transcript.pyannote[2196].speaker SPEAKER_09
transcript.pyannote[2196].start 27453.98534375
transcript.pyannote[2196].end 27456.01034375
transcript.pyannote[2197].speaker SPEAKER_09
transcript.pyannote[2197].start 27456.97221875
transcript.pyannote[2197].end 27457.46159375
transcript.pyannote[2198].speaker SPEAKER_09
transcript.pyannote[2198].start 27457.90034375
transcript.pyannote[2198].end 27459.13221875
transcript.pyannote[2199].speaker SPEAKER_09
transcript.pyannote[2199].start 27459.63846875
transcript.pyannote[2199].end 27462.00096875
transcript.pyannote[2200].speaker SPEAKER_09
transcript.pyannote[2200].start 27463.38471875
transcript.pyannote[2200].end 27464.26221875
transcript.pyannote[2201].speaker SPEAKER_09
transcript.pyannote[2201].start 27465.02159375
transcript.pyannote[2201].end 27468.05909375
transcript.pyannote[2202].speaker SPEAKER_09
transcript.pyannote[2202].start 27469.32471875
transcript.pyannote[2202].end 27471.33284375
transcript.pyannote[2203].speaker SPEAKER_09
transcript.pyannote[2203].start 27472.15971875
transcript.pyannote[2203].end 27475.53471875
transcript.pyannote[2204].speaker SPEAKER_09
transcript.pyannote[2204].start 27476.44596875
transcript.pyannote[2204].end 27478.13346875
transcript.pyannote[2205].speaker SPEAKER_09
transcript.pyannote[2205].start 27478.74096875
transcript.pyannote[2205].end 27479.53409375
transcript.pyannote[2206].speaker SPEAKER_09
transcript.pyannote[2206].start 27480.59721875
transcript.pyannote[2206].end 27481.64346875
transcript.pyannote[2207].speaker SPEAKER_09
transcript.pyannote[2207].start 27482.41971875
transcript.pyannote[2207].end 27485.00159375
transcript.pyannote[2208].speaker SPEAKER_09
transcript.pyannote[2208].start 27485.50784375
transcript.pyannote[2208].end 27488.39346875
transcript.pyannote[2209].speaker SPEAKER_06
transcript.pyannote[2209].start 27489.22034375
transcript.pyannote[2209].end 27490.73909375
transcript.pyannote[2210].speaker SPEAKER_09
transcript.pyannote[2210].start 27490.60409375
transcript.pyannote[2210].end 27491.51534375
transcript.pyannote[2211].speaker SPEAKER_06
transcript.pyannote[2211].start 27491.75159375
transcript.pyannote[2211].end 27492.79784375
transcript.pyannote[2212].speaker SPEAKER_09
transcript.pyannote[2212].start 27493.86096875
transcript.pyannote[2212].end 27494.29971875
transcript.pyannote[2213].speaker SPEAKER_09
transcript.pyannote[2213].start 27494.94096875
transcript.pyannote[2213].end 27497.60721875
transcript.pyannote[2214].speaker SPEAKER_09
transcript.pyannote[2214].start 27498.61971875
transcript.pyannote[2214].end 27499.05846875
transcript.pyannote[2215].speaker SPEAKER_09
transcript.pyannote[2215].start 27499.68284375
transcript.pyannote[2215].end 27501.31971875
transcript.pyannote[2216].speaker SPEAKER_09
transcript.pyannote[2216].start 27501.87659375
transcript.pyannote[2216].end 27502.50096875
transcript.pyannote[2217].speaker SPEAKER_09
transcript.pyannote[2217].start 27503.71596875
transcript.pyannote[2217].end 27505.08284375
transcript.pyannote[2218].speaker SPEAKER_09
transcript.pyannote[2218].start 27505.63971875
transcript.pyannote[2218].end 27509.13284375
transcript.pyannote[2219].speaker SPEAKER_09
transcript.pyannote[2219].start 27509.31846875
transcript.pyannote[2219].end 27511.91721875
transcript.pyannote[2220].speaker SPEAKER_09
transcript.pyannote[2220].start 27512.55846875
transcript.pyannote[2220].end 27513.21659375
transcript.pyannote[2221].speaker SPEAKER_09
transcript.pyannote[2221].start 27514.06034375
transcript.pyannote[2221].end 27515.61284375
transcript.pyannote[2222].speaker SPEAKER_09
transcript.pyannote[2222].start 27516.76034375
transcript.pyannote[2222].end 27519.88221875
transcript.pyannote[2223].speaker SPEAKER_09
transcript.pyannote[2223].start 27520.65846875
transcript.pyannote[2223].end 27521.53596875
transcript.pyannote[2224].speaker SPEAKER_09
transcript.pyannote[2224].start 27522.09284375
transcript.pyannote[2224].end 27523.40909375
transcript.pyannote[2225].speaker SPEAKER_09
transcript.pyannote[2225].start 27523.86471875
transcript.pyannote[2225].end 27524.40471875
transcript.pyannote[2226].speaker SPEAKER_09
transcript.pyannote[2226].start 27524.91096875
transcript.pyannote[2226].end 27526.53096875
transcript.pyannote[2227].speaker SPEAKER_09
transcript.pyannote[2227].start 27526.71659375
transcript.pyannote[2227].end 27527.64471875
transcript.pyannote[2228].speaker SPEAKER_09
transcript.pyannote[2228].start 27527.96534375
transcript.pyannote[2228].end 27529.58534375
transcript.pyannote[2229].speaker SPEAKER_09
transcript.pyannote[2229].start 27529.97346875
transcript.pyannote[2229].end 27531.03659375
transcript.pyannote[2230].speaker SPEAKER_09
transcript.pyannote[2230].start 27531.44159375
transcript.pyannote[2230].end 27532.69034375
transcript.pyannote[2231].speaker SPEAKER_09
transcript.pyannote[2231].start 27533.26409375
transcript.pyannote[2231].end 27535.27221875
transcript.pyannote[2232].speaker SPEAKER_09
transcript.pyannote[2232].start 27536.26784375
transcript.pyannote[2232].end 27538.64721875
transcript.pyannote[2233].speaker SPEAKER_09
transcript.pyannote[2233].start 27539.23784375
transcript.pyannote[2233].end 27541.04346875
transcript.pyannote[2234].speaker SPEAKER_09
transcript.pyannote[2234].start 27541.29659375
transcript.pyannote[2234].end 27542.84909375
transcript.pyannote[2235].speaker SPEAKER_09
transcript.pyannote[2235].start 27543.05159375
transcript.pyannote[2235].end 27548.82284375
transcript.pyannote[2236].speaker SPEAKER_09
transcript.pyannote[2236].start 27549.34596875
transcript.pyannote[2236].end 27552.14721875
transcript.pyannote[2237].speaker SPEAKER_09
transcript.pyannote[2237].start 27553.90221875
transcript.pyannote[2237].end 27555.79221875
transcript.pyannote[2238].speaker SPEAKER_09
transcript.pyannote[2238].start 27556.01159375
transcript.pyannote[2238].end 27559.06596875
transcript.pyannote[2239].speaker SPEAKER_09
transcript.pyannote[2239].start 27560.06159375
transcript.pyannote[2239].end 27561.42846875
transcript.pyannote[2240].speaker SPEAKER_09
transcript.pyannote[2240].start 27562.08659375
transcript.pyannote[2240].end 27567.30096875
transcript.pyannote[2241].speaker SPEAKER_09
transcript.pyannote[2241].start 27567.68909375
transcript.pyannote[2241].end 27569.17409375
transcript.pyannote[2242].speaker SPEAKER_09
transcript.pyannote[2242].start 27570.82784375
transcript.pyannote[2242].end 27573.32534375
transcript.pyannote[2243].speaker SPEAKER_07
transcript.pyannote[2243].start 27573.94971875
transcript.pyannote[2243].end 27577.56096875
transcript.pyannote[2244].speaker SPEAKER_07
transcript.pyannote[2244].start 27577.74659375
transcript.pyannote[2244].end 27580.91909375
transcript.pyannote[2245].speaker SPEAKER_07
transcript.pyannote[2245].start 27581.15534375
transcript.pyannote[2245].end 27583.63596875
transcript.pyannote[2246].speaker SPEAKER_09
transcript.pyannote[2246].start 27584.00721875
transcript.pyannote[2246].end 27586.99409375
transcript.pyannote[2247].speaker SPEAKER_09
transcript.pyannote[2247].start 27587.98971875
transcript.pyannote[2247].end 27589.18784375
transcript.pyannote[2248].speaker SPEAKER_09
transcript.pyannote[2248].start 27590.21721875
transcript.pyannote[2248].end 27597.89534375
transcript.pyannote[2249].speaker SPEAKER_09
transcript.pyannote[2249].start 27598.51971875
transcript.pyannote[2249].end 27600.84846875
transcript.pyannote[2250].speaker SPEAKER_09
transcript.pyannote[2250].start 27602.08034375
transcript.pyannote[2250].end 27603.76784375
transcript.pyannote[2251].speaker SPEAKER_09
transcript.pyannote[2251].start 27604.00409375
transcript.pyannote[2251].end 27605.30346875
transcript.pyannote[2252].speaker SPEAKER_07
transcript.pyannote[2252].start 27605.79284375
transcript.pyannote[2252].end 27610.14659375
transcript.pyannote[2253].speaker SPEAKER_09
transcript.pyannote[2253].start 27608.83034375
transcript.pyannote[2253].end 27610.45034375
transcript.pyannote[2254].speaker SPEAKER_09
transcript.pyannote[2254].start 27611.12534375
transcript.pyannote[2254].end 27613.09971875
transcript.pyannote[2255].speaker SPEAKER_09
transcript.pyannote[2255].start 27613.74096875
transcript.pyannote[2255].end 27615.42846875
transcript.pyannote[2256].speaker SPEAKER_09
transcript.pyannote[2256].start 27616.99784375
transcript.pyannote[2256].end 27619.29284375
transcript.pyannote[2257].speaker SPEAKER_09
transcript.pyannote[2257].start 27619.42784375
transcript.pyannote[2257].end 27621.63846875
transcript.pyannote[2258].speaker SPEAKER_09
transcript.pyannote[2258].start 27622.21221875
transcript.pyannote[2258].end 27624.59159375
transcript.pyannote[2259].speaker SPEAKER_09
transcript.pyannote[2259].start 27624.86159375
transcript.pyannote[2259].end 27626.81909375
transcript.pyannote[2260].speaker SPEAKER_17
transcript.pyannote[2260].start 27628.21971875
transcript.pyannote[2260].end 27631.64534375
transcript.pyannote[2261].speaker SPEAKER_09
transcript.pyannote[2261].start 27628.30409375
transcript.pyannote[2261].end 27628.74284375
transcript.pyannote[2262].speaker SPEAKER_17
transcript.pyannote[2262].start 27631.96596875
transcript.pyannote[2262].end 27633.24846875
transcript.pyannote[2263].speaker SPEAKER_16
transcript.pyannote[2263].start 27633.73784375
transcript.pyannote[2263].end 27634.14284375
transcript.pyannote[2264].speaker SPEAKER_17
transcript.pyannote[2264].start 27634.14284375
transcript.pyannote[2264].end 27636.64034375
transcript.pyannote[2265].speaker SPEAKER_17
transcript.pyannote[2265].start 27636.87659375
transcript.pyannote[2265].end 27640.11659375
transcript.pyannote[2266].speaker SPEAKER_17
transcript.pyannote[2266].start 27640.48784375
transcript.pyannote[2266].end 27641.06159375
transcript.pyannote[2267].speaker SPEAKER_17
transcript.pyannote[2267].start 27641.19659375
transcript.pyannote[2267].end 27643.57596875
transcript.pyannote[2268].speaker SPEAKER_17
transcript.pyannote[2268].start 27643.82909375
transcript.pyannote[2268].end 27644.89221875
transcript.pyannote[2269].speaker SPEAKER_17
transcript.pyannote[2269].start 27645.11159375
transcript.pyannote[2269].end 27647.89596875
transcript.pyannote[2270].speaker SPEAKER_17
transcript.pyannote[2270].start 27648.25034375
transcript.pyannote[2270].end 27651.55784375
transcript.pyannote[2271].speaker SPEAKER_17
transcript.pyannote[2271].start 27651.79409375
transcript.pyannote[2271].end 27654.44346875
transcript.pyannote[2272].speaker SPEAKER_31
transcript.pyannote[2272].start 27654.44346875
transcript.pyannote[2272].end 27654.81471875
transcript.pyannote[2273].speaker SPEAKER_31
transcript.pyannote[2273].start 27655.81034375
transcript.pyannote[2273].end 27656.19846875
transcript.pyannote[2274].speaker SPEAKER_31
transcript.pyannote[2274].start 27656.68784375
transcript.pyannote[2274].end 27657.56534375
transcript.pyannote[2275].speaker SPEAKER_31
transcript.pyannote[2275].start 27657.86909375
transcript.pyannote[2275].end 27659.03346875
transcript.pyannote[2276].speaker SPEAKER_31
transcript.pyannote[2276].start 27659.28659375
transcript.pyannote[2276].end 27671.25096875
transcript.pyannote[2277].speaker SPEAKER_00
transcript.pyannote[2277].start 27663.94409375
transcript.pyannote[2277].end 27663.97784375
transcript.pyannote[2278].speaker SPEAKER_19
transcript.pyannote[2278].start 27663.97784375
transcript.pyannote[2278].end 27664.01159375
transcript.pyannote[2279].speaker SPEAKER_00
transcript.pyannote[2279].start 27664.01159375
transcript.pyannote[2279].end 27664.19721875
transcript.pyannote[2280].speaker SPEAKER_19
transcript.pyannote[2280].start 27664.19721875
transcript.pyannote[2280].end 27664.24784375
transcript.pyannote[2281].speaker SPEAKER_00
transcript.pyannote[2281].start 27664.24784375
transcript.pyannote[2281].end 27664.28159375
transcript.pyannote[2282].speaker SPEAKER_31
transcript.pyannote[2282].start 27671.58846875
transcript.pyannote[2282].end 27674.38971875
transcript.pyannote[2283].speaker SPEAKER_25
transcript.pyannote[2283].start 27672.24659375
transcript.pyannote[2283].end 27672.53346875
transcript.pyannote[2284].speaker SPEAKER_25
transcript.pyannote[2284].start 27674.38971875
transcript.pyannote[2284].end 27674.65971875
transcript.pyannote[2285].speaker SPEAKER_31
transcript.pyannote[2285].start 27674.77784375
transcript.pyannote[2285].end 27681.03846875
transcript.pyannote[2286].speaker SPEAKER_31
transcript.pyannote[2286].start 27681.42659375
transcript.pyannote[2286].end 27684.10971875
transcript.pyannote[2287].speaker SPEAKER_31
transcript.pyannote[2287].start 27684.39659375
transcript.pyannote[2287].end 27685.69596875
transcript.pyannote[2288].speaker SPEAKER_31
transcript.pyannote[2288].start 27685.91534375
transcript.pyannote[2288].end 27690.15096875
transcript.pyannote[2289].speaker SPEAKER_31
transcript.pyannote[2289].start 27690.55596875
transcript.pyannote[2289].end 27691.46721875
transcript.pyannote[2290].speaker SPEAKER_31
transcript.pyannote[2290].start 27691.92284375
transcript.pyannote[2290].end 27704.03909375
transcript.pyannote[2291].speaker SPEAKER_14
transcript.pyannote[2291].start 27700.25909375
transcript.pyannote[2291].end 27701.01846875
transcript.pyannote[2292].speaker SPEAKER_31
transcript.pyannote[2292].start 27704.44409375
transcript.pyannote[2292].end 27714.29909375
transcript.pyannote[2293].speaker SPEAKER_31
transcript.pyannote[2293].start 27714.78846875
transcript.pyannote[2293].end 27718.50096875
transcript.pyannote[2294].speaker SPEAKER_31
transcript.pyannote[2294].start 27718.65284375
transcript.pyannote[2294].end 27721.21784375
transcript.pyannote[2295].speaker SPEAKER_31
transcript.pyannote[2295].start 27721.69034375
transcript.pyannote[2295].end 27723.29346875
transcript.pyannote[2296].speaker SPEAKER_31
transcript.pyannote[2296].start 27723.51284375
transcript.pyannote[2296].end 27724.15409375
transcript.pyannote[2297].speaker SPEAKER_31
transcript.pyannote[2297].start 27724.98096875
transcript.pyannote[2297].end 27729.60471875
transcript.pyannote[2298].speaker SPEAKER_31
transcript.pyannote[2298].start 27729.90846875
transcript.pyannote[2298].end 27734.26221875
transcript.pyannote[2299].speaker SPEAKER_17
transcript.pyannote[2299].start 27734.34659375
transcript.pyannote[2299].end 27742.15971875
transcript.pyannote[2300].speaker SPEAKER_17
transcript.pyannote[2300].start 27742.46346875
transcript.pyannote[2300].end 27746.59784375
transcript.pyannote[2301].speaker SPEAKER_09
transcript.pyannote[2301].start 27746.91846875
transcript.pyannote[2301].end 27747.86346875
transcript.pyannote[2302].speaker SPEAKER_09
transcript.pyannote[2302].start 27748.11659375
transcript.pyannote[2302].end 27750.54659375
transcript.pyannote[2303].speaker SPEAKER_09
transcript.pyannote[2303].start 27750.93471875
transcript.pyannote[2303].end 27752.65596875
transcript.pyannote[2304].speaker SPEAKER_09
transcript.pyannote[2304].start 27753.26346875
transcript.pyannote[2304].end 27754.03971875
transcript.pyannote[2305].speaker SPEAKER_09
transcript.pyannote[2305].start 27754.96784375
transcript.pyannote[2305].end 27756.84096875
transcript.pyannote[2306].speaker SPEAKER_09
transcript.pyannote[2306].start 27756.95909375
transcript.pyannote[2306].end 27758.14034375
transcript.pyannote[2307].speaker SPEAKER_09
transcript.pyannote[2307].start 27758.54534375
transcript.pyannote[2307].end 27759.42284375
transcript.pyannote[2308].speaker SPEAKER_09
transcript.pyannote[2308].start 27759.87846875
transcript.pyannote[2308].end 27762.81471875
transcript.pyannote[2309].speaker SPEAKER_25
transcript.pyannote[2309].start 27763.10159375
transcript.pyannote[2309].end 27763.15221875
transcript.pyannote[2310].speaker SPEAKER_09
transcript.pyannote[2310].start 27764.31659375
transcript.pyannote[2310].end 27765.09284375
transcript.pyannote[2311].speaker SPEAKER_09
transcript.pyannote[2311].start 27766.02096875
transcript.pyannote[2311].end 27767.15159375
transcript.pyannote[2312].speaker SPEAKER_09
transcript.pyannote[2312].start 27767.38784375
transcript.pyannote[2312].end 27770.42534375
transcript.pyannote[2313].speaker SPEAKER_09
transcript.pyannote[2313].start 27771.30284375
transcript.pyannote[2313].end 27773.44596875
transcript.pyannote[2314].speaker SPEAKER_09
transcript.pyannote[2314].start 27774.00284375
transcript.pyannote[2314].end 27774.40784375
transcript.pyannote[2315].speaker SPEAKER_09
transcript.pyannote[2315].start 27774.71159375
transcript.pyannote[2315].end 27776.78721875
transcript.pyannote[2316].speaker SPEAKER_09
transcript.pyannote[2316].start 27777.68159375
transcript.pyannote[2316].end 27779.41971875
transcript.pyannote[2317].speaker SPEAKER_09
transcript.pyannote[2317].start 27780.24659375
transcript.pyannote[2317].end 27782.87909375
transcript.pyannote[2318].speaker SPEAKER_09
transcript.pyannote[2318].start 27783.90846875
transcript.pyannote[2318].end 27786.32159375
transcript.pyannote[2319].speaker SPEAKER_09
transcript.pyannote[2319].start 27786.91221875
transcript.pyannote[2319].end 27787.53659375
transcript.pyannote[2320].speaker SPEAKER_09
transcript.pyannote[2320].start 27788.36346875
transcript.pyannote[2320].end 27791.09721875
transcript.pyannote[2321].speaker SPEAKER_09
transcript.pyannote[2321].start 27791.26596875
transcript.pyannote[2321].end 27792.81846875
transcript.pyannote[2322].speaker SPEAKER_09
transcript.pyannote[2322].start 27795.16409375
transcript.pyannote[2322].end 27796.64909375
transcript.pyannote[2323].speaker SPEAKER_07
transcript.pyannote[2323].start 27797.25659375
transcript.pyannote[2323].end 27799.80471875
transcript.pyannote[2324].speaker SPEAKER_07
transcript.pyannote[2324].start 27800.22659375
transcript.pyannote[2324].end 27801.99846875
transcript.pyannote[2325].speaker SPEAKER_07
transcript.pyannote[2325].start 27802.28534375
transcript.pyannote[2325].end 27804.49596875
transcript.pyannote[2326].speaker SPEAKER_09
transcript.pyannote[2326].start 27804.49596875
transcript.pyannote[2326].end 27804.59721875
transcript.pyannote[2327].speaker SPEAKER_07
transcript.pyannote[2327].start 27804.59721875
transcript.pyannote[2327].end 27804.63096875
transcript.pyannote[2328].speaker SPEAKER_09
transcript.pyannote[2328].start 27804.63096875
transcript.pyannote[2328].end 27804.76596875
transcript.pyannote[2329].speaker SPEAKER_07
transcript.pyannote[2329].start 27804.76596875
transcript.pyannote[2329].end 27804.78284375
transcript.pyannote[2330].speaker SPEAKER_09
transcript.pyannote[2330].start 27804.78284375
transcript.pyannote[2330].end 27804.81659375
transcript.pyannote[2331].speaker SPEAKER_09
transcript.pyannote[2331].start 27805.23846875
transcript.pyannote[2331].end 27815.02596875
transcript.pyannote[2332].speaker SPEAKER_09
transcript.pyannote[2332].start 27815.14409375
transcript.pyannote[2332].end 27816.59534375
transcript.pyannote[2333].speaker SPEAKER_09
transcript.pyannote[2333].start 27817.60784375
transcript.pyannote[2333].end 27820.03784375
transcript.pyannote[2334].speaker SPEAKER_09
transcript.pyannote[2334].start 27821.18534375
transcript.pyannote[2334].end 27821.94471875
transcript.pyannote[2335].speaker SPEAKER_09
transcript.pyannote[2335].start 27822.70409375
transcript.pyannote[2335].end 27823.78409375
transcript.pyannote[2336].speaker SPEAKER_09
transcript.pyannote[2336].start 27824.61096875
transcript.pyannote[2336].end 27825.11721875
transcript.pyannote[2337].speaker SPEAKER_09
transcript.pyannote[2337].start 27825.65721875
transcript.pyannote[2337].end 27826.63596875
transcript.pyannote[2338].speaker SPEAKER_09
transcript.pyannote[2338].start 27827.44596875
transcript.pyannote[2338].end 27828.34034375
transcript.pyannote[2339].speaker SPEAKER_09
transcript.pyannote[2339].start 27828.59346875
transcript.pyannote[2339].end 27833.35221875
transcript.pyannote[2340].speaker SPEAKER_09
transcript.pyannote[2340].start 27834.17909375
transcript.pyannote[2340].end 27835.68096875
transcript.pyannote[2341].speaker SPEAKER_09
transcript.pyannote[2341].start 27837.77346875
transcript.pyannote[2341].end 27840.77721875
transcript.pyannote[2342].speaker SPEAKER_17
transcript.pyannote[2342].start 27840.96284375
transcript.pyannote[2342].end 27840.97971875
transcript.pyannote[2343].speaker SPEAKER_16
transcript.pyannote[2343].start 27840.97971875
transcript.pyannote[2343].end 27841.31721875
transcript.pyannote[2344].speaker SPEAKER_09
transcript.pyannote[2344].start 27841.75596875
transcript.pyannote[2344].end 27843.05534375
transcript.pyannote[2345].speaker SPEAKER_09
transcript.pyannote[2345].start 27844.16909375
transcript.pyannote[2345].end 27848.70846875
transcript.pyannote[2346].speaker SPEAKER_09
transcript.pyannote[2346].start 27850.07534375
transcript.pyannote[2346].end 27851.93159375
transcript.pyannote[2347].speaker SPEAKER_09
transcript.pyannote[2347].start 27852.43784375
transcript.pyannote[2347].end 27854.22659375
transcript.pyannote[2348].speaker SPEAKER_09
transcript.pyannote[2348].start 27854.53034375
transcript.pyannote[2348].end 27855.10409375
transcript.pyannote[2349].speaker SPEAKER_09
transcript.pyannote[2349].start 27855.49221875
transcript.pyannote[2349].end 27858.10784375
transcript.pyannote[2350].speaker SPEAKER_09
transcript.pyannote[2350].start 27859.71096875
transcript.pyannote[2350].end 27860.35221875
transcript.pyannote[2351].speaker SPEAKER_09
transcript.pyannote[2351].start 27860.72346875
transcript.pyannote[2351].end 27861.88784375
transcript.pyannote[2352].speaker SPEAKER_09
transcript.pyannote[2352].start 27863.06909375
transcript.pyannote[2352].end 27864.01409375
transcript.pyannote[2353].speaker SPEAKER_09
transcript.pyannote[2353].start 27864.33471875
transcript.pyannote[2353].end 27864.84096875
transcript.pyannote[2354].speaker SPEAKER_09
transcript.pyannote[2354].start 27865.41471875
transcript.pyannote[2354].end 27866.42721875
transcript.pyannote[2355].speaker SPEAKER_09
transcript.pyannote[2355].start 27866.93346875
transcript.pyannote[2355].end 27867.81096875
transcript.pyannote[2356].speaker SPEAKER_09
transcript.pyannote[2356].start 27868.16534375
transcript.pyannote[2356].end 27869.81909375
transcript.pyannote[2357].speaker SPEAKER_09
transcript.pyannote[2357].start 27870.17346875
transcript.pyannote[2357].end 27876.31596875
transcript.pyannote[2358].speaker SPEAKER_09
transcript.pyannote[2358].start 27877.58159375
transcript.pyannote[2358].end 27879.01596875
transcript.pyannote[2359].speaker SPEAKER_17
transcript.pyannote[2359].start 27879.53909375
transcript.pyannote[2359].end 27890.17034375
transcript.pyannote[2360].speaker SPEAKER_09
transcript.pyannote[2360].start 27879.84284375
transcript.pyannote[2360].end 27880.01159375
transcript.pyannote[2361].speaker SPEAKER_09
transcript.pyannote[2361].start 27882.37409375
transcript.pyannote[2361].end 27883.80846875
transcript.pyannote[2362].speaker SPEAKER_09
transcript.pyannote[2362].start 27888.85409375
transcript.pyannote[2362].end 27889.34346875
transcript.pyannote[2363].speaker SPEAKER_09
transcript.pyannote[2363].start 27890.06909375
transcript.pyannote[2363].end 27891.82409375
transcript.pyannote[2364].speaker SPEAKER_09
transcript.pyannote[2364].start 27892.27971875
transcript.pyannote[2364].end 27893.73096875
transcript.pyannote[2365].speaker SPEAKER_09
transcript.pyannote[2365].start 27894.42284375
transcript.pyannote[2365].end 27896.11034375
transcript.pyannote[2366].speaker SPEAKER_09
transcript.pyannote[2366].start 27896.92034375
transcript.pyannote[2366].end 27901.72971875
transcript.pyannote[2367].speaker SPEAKER_09
transcript.pyannote[2367].start 27902.11784375
transcript.pyannote[2367].end 27903.01221875
transcript.pyannote[2368].speaker SPEAKER_09
transcript.pyannote[2368].start 27904.41284375
transcript.pyannote[2368].end 27906.79221875
transcript.pyannote[2369].speaker SPEAKER_09
transcript.pyannote[2369].start 27907.48409375
transcript.pyannote[2369].end 27910.50471875
transcript.pyannote[2370].speaker SPEAKER_09
transcript.pyannote[2370].start 27911.44971875
transcript.pyannote[2370].end 27913.69409375
transcript.pyannote[2371].speaker SPEAKER_09
transcript.pyannote[2371].start 27914.35221875
transcript.pyannote[2371].end 27915.02721875
transcript.pyannote[2372].speaker SPEAKER_09
transcript.pyannote[2372].start 27915.61784375
transcript.pyannote[2372].end 27916.78221875
transcript.pyannote[2373].speaker SPEAKER_09
transcript.pyannote[2373].start 27918.73971875
transcript.pyannote[2373].end 27919.92096875
transcript.pyannote[2374].speaker SPEAKER_09
transcript.pyannote[2374].start 27922.21596875
transcript.pyannote[2374].end 27928.30784375
transcript.pyannote[2375].speaker SPEAKER_09
transcript.pyannote[2375].start 27929.08409375
transcript.pyannote[2375].end 27933.64034375
transcript.pyannote[2376].speaker SPEAKER_09
transcript.pyannote[2376].start 27934.60221875
transcript.pyannote[2376].end 27936.52596875
transcript.pyannote[2377].speaker SPEAKER_09
transcript.pyannote[2377].start 27936.59346875
transcript.pyannote[2377].end 27937.69034375
transcript.pyannote[2378].speaker SPEAKER_09
transcript.pyannote[2378].start 27938.28096875
transcript.pyannote[2378].end 27939.46221875
transcript.pyannote[2379].speaker SPEAKER_09
transcript.pyannote[2379].start 27939.78284375
transcript.pyannote[2379].end 27941.03159375
transcript.pyannote[2380].speaker SPEAKER_09
transcript.pyannote[2380].start 27941.50409375
transcript.pyannote[2380].end 27942.12846875
transcript.pyannote[2381].speaker SPEAKER_09
transcript.pyannote[2381].start 27942.44909375
transcript.pyannote[2381].end 27943.29284375
transcript.pyannote[2382].speaker SPEAKER_09
transcript.pyannote[2382].start 27943.52909375
transcript.pyannote[2382].end 27944.18721875
transcript.pyannote[2383].speaker SPEAKER_09
transcript.pyannote[2383].start 27945.03096875
transcript.pyannote[2383].end 27946.02659375
transcript.pyannote[2384].speaker SPEAKER_09
transcript.pyannote[2384].start 27946.75221875
transcript.pyannote[2384].end 27947.68034375
transcript.pyannote[2385].speaker SPEAKER_09
transcript.pyannote[2385].start 27947.76471875
transcript.pyannote[2385].end 27949.01346875
transcript.pyannote[2386].speaker SPEAKER_09
transcript.pyannote[2386].start 27951.94971875
transcript.pyannote[2386].end 27952.28721875
transcript.pyannote[2387].speaker SPEAKER_09
transcript.pyannote[2387].start 27952.84409375
transcript.pyannote[2387].end 27953.63721875
transcript.pyannote[2388].speaker SPEAKER_09
transcript.pyannote[2388].start 27955.12221875
transcript.pyannote[2388].end 27957.51846875
transcript.pyannote[2389].speaker SPEAKER_09
transcript.pyannote[2389].start 27958.51409375
transcript.pyannote[2389].end 27962.02409375
transcript.pyannote[2390].speaker SPEAKER_09
transcript.pyannote[2390].start 27962.68221875
transcript.pyannote[2390].end 27966.02346875
transcript.pyannote[2391].speaker SPEAKER_09
transcript.pyannote[2391].start 27966.44534375
transcript.pyannote[2391].end 27975.81096875
transcript.pyannote[2392].speaker SPEAKER_09
transcript.pyannote[2392].start 27976.09784375
transcript.pyannote[2392].end 27977.73471875
transcript.pyannote[2393].speaker SPEAKER_09
transcript.pyannote[2393].start 27978.37596875
transcript.pyannote[2393].end 27979.50659375
transcript.pyannote[2394].speaker SPEAKER_09
transcript.pyannote[2394].start 27979.89471875
transcript.pyannote[2394].end 27981.24471875
transcript.pyannote[2395].speaker SPEAKER_09
transcript.pyannote[2395].start 27981.98721875
transcript.pyannote[2395].end 27983.97846875
transcript.pyannote[2396].speaker SPEAKER_09
transcript.pyannote[2396].start 27985.58159375
transcript.pyannote[2396].end 27986.03721875
transcript.pyannote[2397].speaker SPEAKER_09
transcript.pyannote[2397].start 27986.22284375
transcript.pyannote[2397].end 27990.64409375
transcript.pyannote[2398].speaker SPEAKER_09
transcript.pyannote[2398].start 27990.98159375
transcript.pyannote[2398].end 27995.70659375
transcript.pyannote[2399].speaker SPEAKER_09
transcript.pyannote[2399].start 27996.17909375
transcript.pyannote[2399].end 27997.41096875
transcript.pyannote[2400].speaker SPEAKER_09
transcript.pyannote[2400].start 27997.96784375
transcript.pyannote[2400].end 27999.14909375
transcript.pyannote[2401].speaker SPEAKER_09
transcript.pyannote[2401].start 27999.68909375
transcript.pyannote[2401].end 28002.64221875
transcript.pyannote[2402].speaker SPEAKER_09
transcript.pyannote[2402].start 28002.97971875
transcript.pyannote[2402].end 28004.29596875
transcript.pyannote[2403].speaker SPEAKER_09
transcript.pyannote[2403].start 28004.83596875
transcript.pyannote[2403].end 28005.94971875
transcript.pyannote[2404].speaker SPEAKER_09
transcript.pyannote[2404].start 28006.43909375
transcript.pyannote[2404].end 28007.62034375
transcript.pyannote[2405].speaker SPEAKER_09
transcript.pyannote[2405].start 28007.94096875
transcript.pyannote[2405].end 28010.03346875
transcript.pyannote[2406].speaker SPEAKER_09
transcript.pyannote[2406].start 28010.30346875
transcript.pyannote[2406].end 28012.32846875
transcript.pyannote[2407].speaker SPEAKER_09
transcript.pyannote[2407].start 28012.66596875
transcript.pyannote[2407].end 28016.29409375
transcript.pyannote[2408].speaker SPEAKER_09
transcript.pyannote[2408].start 28017.32346875
transcript.pyannote[2408].end 28019.12909375
transcript.pyannote[2409].speaker SPEAKER_09
transcript.pyannote[2409].start 28020.04034375
transcript.pyannote[2409].end 28021.72784375
transcript.pyannote[2410].speaker SPEAKER_09
transcript.pyannote[2410].start 28022.08221875
transcript.pyannote[2410].end 28024.56284375
transcript.pyannote[2411].speaker SPEAKER_09
transcript.pyannote[2411].start 28025.30534375
transcript.pyannote[2411].end 28026.40221875
transcript.pyannote[2412].speaker SPEAKER_09
transcript.pyannote[2412].start 28027.11096875
transcript.pyannote[2412].end 28028.93346875
transcript.pyannote[2413].speaker SPEAKER_09
transcript.pyannote[2413].start 28029.18659375
transcript.pyannote[2413].end 28030.73909375
transcript.pyannote[2414].speaker SPEAKER_09
transcript.pyannote[2414].start 28031.12721875
transcript.pyannote[2414].end 28032.78096875
transcript.pyannote[2415].speaker SPEAKER_09
transcript.pyannote[2415].start 28033.38846875
transcript.pyannote[2415].end 28036.05471875
transcript.pyannote[2416].speaker SPEAKER_09
transcript.pyannote[2416].start 28036.35846875
transcript.pyannote[2416].end 28042.14659375
transcript.pyannote[2417].speaker SPEAKER_09
transcript.pyannote[2417].start 28042.68659375
transcript.pyannote[2417].end 28043.34471875
transcript.pyannote[2418].speaker SPEAKER_09
transcript.pyannote[2418].start 28043.91846875
transcript.pyannote[2418].end 28046.95596875
transcript.pyannote[2419].speaker SPEAKER_09
transcript.pyannote[2419].start 28047.24284375
transcript.pyannote[2419].end 28048.91346875
transcript.pyannote[2420].speaker SPEAKER_09
transcript.pyannote[2420].start 28049.30159375
transcript.pyannote[2420].end 28050.78659375
transcript.pyannote[2421].speaker SPEAKER_09
transcript.pyannote[2421].start 28051.41096875
transcript.pyannote[2421].end 28053.80721875
transcript.pyannote[2422].speaker SPEAKER_09
transcript.pyannote[2422].start 28054.17846875
transcript.pyannote[2422].end 28057.13159375
transcript.pyannote[2423].speaker SPEAKER_09
transcript.pyannote[2423].start 28057.40159375
transcript.pyannote[2423].end 28059.46034375
transcript.pyannote[2424].speaker SPEAKER_07
transcript.pyannote[2424].start 28060.03409375
transcript.pyannote[2424].end 28060.32096875
transcript.pyannote[2425].speaker SPEAKER_07
transcript.pyannote[2425].start 28060.48971875
transcript.pyannote[2425].end 28068.87659375
transcript.pyannote[2426].speaker SPEAKER_07
transcript.pyannote[2426].start 28069.09596875
transcript.pyannote[2426].end 28075.93034375
transcript.pyannote[2427].speaker SPEAKER_07
transcript.pyannote[2427].start 28076.18346875
transcript.pyannote[2427].end 28078.83284375
transcript.pyannote[2428].speaker SPEAKER_07
transcript.pyannote[2428].start 28079.01846875
transcript.pyannote[2428].end 28080.14909375
transcript.pyannote[2429].speaker SPEAKER_07
transcript.pyannote[2429].start 28080.36846875
transcript.pyannote[2429].end 28082.30909375
transcript.pyannote[2430].speaker SPEAKER_07
transcript.pyannote[2430].start 28082.61284375
transcript.pyannote[2430].end 28085.12721875
transcript.pyannote[2431].speaker SPEAKER_07
transcript.pyannote[2431].start 28085.44784375
transcript.pyannote[2431].end 28087.59096875
transcript.pyannote[2432].speaker SPEAKER_07
transcript.pyannote[2432].start 28087.69221875
transcript.pyannote[2432].end 28090.86471875
transcript.pyannote[2433].speaker SPEAKER_06
transcript.pyannote[2433].start 28087.97909375
transcript.pyannote[2433].end 28088.08034375
transcript.pyannote[2434].speaker SPEAKER_07
transcript.pyannote[2434].start 28091.16846875
transcript.pyannote[2434].end 28094.54346875
transcript.pyannote[2435].speaker SPEAKER_07
transcript.pyannote[2435].start 28094.86409375
transcript.pyannote[2435].end 28096.82159375
transcript.pyannote[2436].speaker SPEAKER_07
transcript.pyannote[2436].start 28097.19284375
transcript.pyannote[2436].end 28100.19659375
transcript.pyannote[2437].speaker SPEAKER_07
transcript.pyannote[2437].start 28100.36534375
transcript.pyannote[2437].end 28102.55909375
transcript.pyannote[2438].speaker SPEAKER_07
transcript.pyannote[2438].start 28102.89659375
transcript.pyannote[2438].end 28107.01409375
transcript.pyannote[2439].speaker SPEAKER_07
transcript.pyannote[2439].start 28107.13221875
transcript.pyannote[2439].end 28110.25409375
transcript.pyannote[2440].speaker SPEAKER_09
transcript.pyannote[2440].start 28107.46971875
transcript.pyannote[2440].end 28107.75659375
transcript.pyannote[2441].speaker SPEAKER_07
transcript.pyannote[2441].start 28110.47346875
transcript.pyannote[2441].end 28111.51971875
transcript.pyannote[2442].speaker SPEAKER_07
transcript.pyannote[2442].start 28111.82346875
transcript.pyannote[2442].end 28113.73034375
transcript.pyannote[2443].speaker SPEAKER_07
transcript.pyannote[2443].start 28113.98346875
transcript.pyannote[2443].end 28118.94471875
transcript.pyannote[2444].speaker SPEAKER_09
transcript.pyannote[2444].start 28118.89409375
transcript.pyannote[2444].end 28120.49721875
transcript.pyannote[2445].speaker SPEAKER_09
transcript.pyannote[2445].start 28121.30721875
transcript.pyannote[2445].end 28126.62284375
transcript.pyannote[2446].speaker SPEAKER_09
transcript.pyannote[2446].start 28126.87596875
transcript.pyannote[2446].end 28128.76596875
transcript.pyannote[2447].speaker SPEAKER_09
transcript.pyannote[2447].start 28129.18784375
transcript.pyannote[2447].end 28130.41971875
transcript.pyannote[2448].speaker SPEAKER_09
transcript.pyannote[2448].start 28130.87534375
transcript.pyannote[2448].end 28136.12346875
transcript.pyannote[2449].speaker SPEAKER_09
transcript.pyannote[2449].start 28136.46096875
transcript.pyannote[2449].end 28137.30471875
transcript.pyannote[2450].speaker SPEAKER_09
transcript.pyannote[2450].start 28138.03034375
transcript.pyannote[2450].end 28140.00471875
transcript.pyannote[2451].speaker SPEAKER_09
transcript.pyannote[2451].start 28140.12284375
transcript.pyannote[2451].end 28141.55721875
transcript.pyannote[2452].speaker SPEAKER_07
transcript.pyannote[2452].start 28141.75971875
transcript.pyannote[2452].end 28147.19346875
transcript.pyannote[2453].speaker SPEAKER_09
transcript.pyannote[2453].start 28146.83909375
transcript.pyannote[2453].end 28161.16596875
transcript.pyannote[2454].speaker SPEAKER_07
transcript.pyannote[2454].start 28153.94346875
transcript.pyannote[2454].end 28154.66909375
transcript.pyannote[2455].speaker SPEAKER_09
transcript.pyannote[2455].start 28162.09409375
transcript.pyannote[2455].end 28164.33846875
transcript.pyannote[2456].speaker SPEAKER_09
transcript.pyannote[2456].start 28165.18221875
transcript.pyannote[2456].end 28170.05909375
transcript.pyannote[2457].speaker SPEAKER_09
transcript.pyannote[2457].start 28170.39659375
transcript.pyannote[2457].end 28174.02471875
transcript.pyannote[2458].speaker SPEAKER_09
transcript.pyannote[2458].start 28174.71659375
transcript.pyannote[2458].end 28176.82596875
transcript.pyannote[2459].speaker SPEAKER_09
transcript.pyannote[2459].start 28177.29846875
transcript.pyannote[2459].end 28182.09096875
transcript.pyannote[2460].speaker SPEAKER_09
transcript.pyannote[2460].start 28182.71534375
transcript.pyannote[2460].end 28185.60096875
transcript.pyannote[2461].speaker SPEAKER_09
transcript.pyannote[2461].start 28185.92159375
transcript.pyannote[2461].end 28186.91721875
transcript.pyannote[2462].speaker SPEAKER_09
transcript.pyannote[2462].start 28187.49096875
transcript.pyannote[2462].end 28188.67221875
transcript.pyannote[2463].speaker SPEAKER_09
transcript.pyannote[2463].start 28188.68909375
transcript.pyannote[2463].end 28190.41034375
transcript.pyannote[2464].speaker SPEAKER_09
transcript.pyannote[2464].start 28191.20346875
transcript.pyannote[2464].end 28194.52784375
transcript.pyannote[2465].speaker SPEAKER_09
transcript.pyannote[2465].start 28194.74721875
transcript.pyannote[2465].end 28195.94534375
transcript.pyannote[2466].speaker SPEAKER_09
transcript.pyannote[2466].start 28196.67096875
transcript.pyannote[2466].end 28197.63284375
transcript.pyannote[2467].speaker SPEAKER_09
transcript.pyannote[2467].start 28198.34159375
transcript.pyannote[2467].end 28198.76346875
transcript.pyannote[2468].speaker SPEAKER_09
transcript.pyannote[2468].start 28199.05034375
transcript.pyannote[2468].end 28200.83909375
transcript.pyannote[2469].speaker SPEAKER_09
transcript.pyannote[2469].start 28201.63221875
transcript.pyannote[2469].end 28203.53909375
transcript.pyannote[2470].speaker SPEAKER_09
transcript.pyannote[2470].start 28203.96096875
transcript.pyannote[2470].end 28207.67346875
transcript.pyannote[2471].speaker SPEAKER_09
transcript.pyannote[2471].start 28208.21346875
transcript.pyannote[2471].end 28208.60159375
transcript.pyannote[2472].speaker SPEAKER_09
transcript.pyannote[2472].start 28208.97284375
transcript.pyannote[2472].end 28211.92596875
transcript.pyannote[2473].speaker SPEAKER_09
transcript.pyannote[2473].start 28212.46596875
transcript.pyannote[2473].end 28214.30534375
transcript.pyannote[2474].speaker SPEAKER_09
transcript.pyannote[2474].start 28214.71034375
transcript.pyannote[2474].end 28215.31784375
transcript.pyannote[2475].speaker SPEAKER_09
transcript.pyannote[2475].start 28216.06034375
transcript.pyannote[2475].end 28218.74346875
transcript.pyannote[2476].speaker SPEAKER_09
transcript.pyannote[2476].start 28218.94596875
transcript.pyannote[2476].end 28221.84846875
transcript.pyannote[2477].speaker SPEAKER_09
transcript.pyannote[2477].start 28222.32096875
transcript.pyannote[2477].end 28223.08034375
transcript.pyannote[2478].speaker SPEAKER_09
transcript.pyannote[2478].start 28223.80596875
transcript.pyannote[2478].end 28225.24034375
transcript.pyannote[2479].speaker SPEAKER_09
transcript.pyannote[2479].start 28225.89846875
transcript.pyannote[2479].end 28226.35409375
transcript.pyannote[2480].speaker SPEAKER_09
transcript.pyannote[2480].start 28226.82659375
transcript.pyannote[2480].end 28227.48471875
transcript.pyannote[2481].speaker SPEAKER_09
transcript.pyannote[2481].start 28227.75471875
transcript.pyannote[2481].end 28228.91909375
transcript.pyannote[2482].speaker SPEAKER_09
transcript.pyannote[2482].start 28229.30721875
transcript.pyannote[2482].end 28233.28971875
transcript.pyannote[2483].speaker SPEAKER_09
transcript.pyannote[2483].start 28233.77909375
transcript.pyannote[2483].end 28234.84221875
transcript.pyannote[2484].speaker SPEAKER_09
transcript.pyannote[2484].start 28236.09096875
transcript.pyannote[2484].end 28246.09784375
transcript.pyannote[2485].speaker SPEAKER_09
transcript.pyannote[2485].start 28246.19909375
transcript.pyannote[2485].end 28247.68409375
transcript.pyannote[2486].speaker SPEAKER_09
transcript.pyannote[2486].start 28248.49409375
transcript.pyannote[2486].end 28250.63721875
transcript.pyannote[2487].speaker SPEAKER_09
transcript.pyannote[2487].start 28250.92409375
transcript.pyannote[2487].end 28252.17284375
transcript.pyannote[2488].speaker SPEAKER_09
transcript.pyannote[2488].start 28252.89846875
transcript.pyannote[2488].end 28255.21034375
transcript.pyannote[2489].speaker SPEAKER_09
transcript.pyannote[2489].start 28255.64909375
transcript.pyannote[2489].end 28258.29846875
transcript.pyannote[2490].speaker SPEAKER_09
transcript.pyannote[2490].start 28258.83846875
transcript.pyannote[2490].end 28259.44596875
transcript.pyannote[2491].speaker SPEAKER_09
transcript.pyannote[2491].start 28259.91846875
transcript.pyannote[2491].end 28265.25096875
transcript.pyannote[2492].speaker SPEAKER_09
transcript.pyannote[2492].start 28265.62221875
transcript.pyannote[2492].end 28269.58784375
transcript.pyannote[2493].speaker SPEAKER_09
transcript.pyannote[2493].start 28269.97596875
transcript.pyannote[2493].end 28275.81471875
transcript.pyannote[2494].speaker SPEAKER_09
transcript.pyannote[2494].start 28276.25346875
transcript.pyannote[2494].end 28278.24471875
transcript.pyannote[2495].speaker SPEAKER_09
transcript.pyannote[2495].start 28278.63284375
transcript.pyannote[2495].end 28280.69159375
transcript.pyannote[2496].speaker SPEAKER_09
transcript.pyannote[2496].start 28281.31596875
transcript.pyannote[2496].end 28282.46346875
transcript.pyannote[2497].speaker SPEAKER_09
transcript.pyannote[2497].start 28282.91909375
transcript.pyannote[2497].end 28286.69909375
transcript.pyannote[2498].speaker SPEAKER_17
transcript.pyannote[2498].start 28287.30659375
transcript.pyannote[2498].end 28301.75159375
transcript.pyannote[2499].speaker SPEAKER_14
transcript.pyannote[2499].start 28298.68034375
transcript.pyannote[2499].end 28298.69721875
transcript.pyannote[2500].speaker SPEAKER_09
transcript.pyannote[2500].start 28298.69721875
transcript.pyannote[2500].end 28299.01784375
transcript.pyannote[2501].speaker SPEAKER_17
transcript.pyannote[2501].start 28301.86971875
transcript.pyannote[2501].end 28302.93284375
transcript.pyannote[2502].speaker SPEAKER_09
transcript.pyannote[2502].start 28301.92034375
transcript.pyannote[2502].end 28306.67909375
transcript.pyannote[2503].speaker SPEAKER_09
transcript.pyannote[2503].start 28306.93221875
transcript.pyannote[2503].end 28324.09409375
transcript.pyannote[2504].speaker SPEAKER_17
transcript.pyannote[2504].start 28310.66159375
transcript.pyannote[2504].end 28310.96534375
transcript.pyannote[2505].speaker SPEAKER_00
transcript.pyannote[2505].start 28310.96534375
transcript.pyannote[2505].end 28311.03284375
transcript.pyannote[2506].speaker SPEAKER_09
transcript.pyannote[2506].start 28324.65096875
transcript.pyannote[2506].end 28325.20784375
transcript.pyannote[2507].speaker SPEAKER_09
transcript.pyannote[2507].start 28325.68034375
transcript.pyannote[2507].end 28329.00471875
transcript.pyannote[2508].speaker SPEAKER_09
transcript.pyannote[2508].start 28329.19034375
transcript.pyannote[2508].end 28329.86534375
transcript.pyannote[2509].speaker SPEAKER_17
transcript.pyannote[2509].start 28329.25784375
transcript.pyannote[2509].end 28336.36221875
transcript.pyannote[2510].speaker SPEAKER_17
transcript.pyannote[2510].start 28336.68284375
transcript.pyannote[2510].end 28338.03284375
transcript.pyannote[2511].speaker SPEAKER_17
transcript.pyannote[2511].start 28338.25221875
transcript.pyannote[2511].end 28340.53034375
transcript.pyannote[2512].speaker SPEAKER_17
transcript.pyannote[2512].start 28341.44159375
transcript.pyannote[2512].end 28344.86721875
transcript.pyannote[2513].speaker SPEAKER_17
transcript.pyannote[2513].start 28345.54221875
transcript.pyannote[2513].end 28345.94721875
transcript.pyannote[2514].speaker SPEAKER_31
transcript.pyannote[2514].start 28345.94721875
transcript.pyannote[2514].end 28345.96409375
transcript.pyannote[2515].speaker SPEAKER_31
transcript.pyannote[2515].start 28346.48721875
transcript.pyannote[2515].end 28346.95971875
transcript.pyannote[2516].speaker SPEAKER_17
transcript.pyannote[2516].start 28346.95971875
transcript.pyannote[2516].end 28347.02721875
transcript.pyannote[2517].speaker SPEAKER_31
transcript.pyannote[2517].start 28347.02721875
transcript.pyannote[2517].end 28347.29721875
transcript.pyannote[2518].speaker SPEAKER_31
transcript.pyannote[2518].start 28347.73596875
transcript.pyannote[2518].end 28348.51221875
transcript.pyannote[2519].speaker SPEAKER_31
transcript.pyannote[2519].start 28349.37284375
transcript.pyannote[2519].end 28350.28409375
transcript.pyannote[2520].speaker SPEAKER_31
transcript.pyannote[2520].start 28350.89159375
transcript.pyannote[2520].end 28366.09596875
transcript.pyannote[2521].speaker SPEAKER_31
transcript.pyannote[2521].start 28366.48409375
transcript.pyannote[2521].end 28367.12534375
transcript.pyannote[2522].speaker SPEAKER_31
transcript.pyannote[2522].start 28367.96909375
transcript.pyannote[2522].end 28369.28534375
transcript.pyannote[2523].speaker SPEAKER_31
transcript.pyannote[2523].start 28369.74096875
transcript.pyannote[2523].end 28374.16221875
transcript.pyannote[2524].speaker SPEAKER_31
transcript.pyannote[2524].start 28374.43221875
transcript.pyannote[2524].end 28380.57471875
transcript.pyannote[2525].speaker SPEAKER_31
transcript.pyannote[2525].start 28381.48596875
transcript.pyannote[2525].end 28383.03846875
transcript.pyannote[2526].speaker SPEAKER_31
transcript.pyannote[2526].start 28384.06784375
transcript.pyannote[2526].end 28384.89471875
transcript.pyannote[2527].speaker SPEAKER_31
transcript.pyannote[2527].start 28385.28284375
transcript.pyannote[2527].end 28391.56034375
transcript.pyannote[2528].speaker SPEAKER_31
transcript.pyannote[2528].start 28392.06659375
transcript.pyannote[2528].end 28394.22659375
transcript.pyannote[2529].speaker SPEAKER_31
transcript.pyannote[2529].start 28394.66534375
transcript.pyannote[2529].end 28396.04909375
transcript.pyannote[2530].speaker SPEAKER_31
transcript.pyannote[2530].start 28396.18409375
transcript.pyannote[2530].end 28416.04596875
transcript.pyannote[2531].speaker SPEAKER_31
transcript.pyannote[2531].start 28416.88971875
transcript.pyannote[2531].end 28425.20909375
transcript.pyannote[2532].speaker SPEAKER_31
transcript.pyannote[2532].start 28425.86721875
transcript.pyannote[2532].end 28432.53284375
transcript.pyannote[2533].speaker SPEAKER_31
transcript.pyannote[2533].start 28433.05596875
transcript.pyannote[2533].end 28437.25784375
transcript.pyannote[2534].speaker SPEAKER_31
transcript.pyannote[2534].start 28437.57846875
transcript.pyannote[2534].end 28442.82659375
transcript.pyannote[2535].speaker SPEAKER_31
transcript.pyannote[2535].start 28443.34971875
transcript.pyannote[2535].end 28444.04159375
transcript.pyannote[2536].speaker SPEAKER_31
transcript.pyannote[2536].start 28444.53096875
transcript.pyannote[2536].end 28451.34846875
transcript.pyannote[2537].speaker SPEAKER_31
transcript.pyannote[2537].start 28451.68596875
transcript.pyannote[2537].end 28477.63971875
transcript.pyannote[2538].speaker SPEAKER_31
transcript.pyannote[2538].start 28478.51721875
transcript.pyannote[2538].end 28479.14159375
transcript.pyannote[2539].speaker SPEAKER_17
transcript.pyannote[2539].start 28478.60159375
transcript.pyannote[2539].end 28495.89846875
transcript.pyannote[2540].speaker SPEAKER_17
transcript.pyannote[2540].start 28495.91534375
transcript.pyannote[2540].end 28495.93221875
transcript.pyannote[2541].speaker SPEAKER_09
transcript.pyannote[2541].start 28495.93221875
transcript.pyannote[2541].end 28511.91284375
transcript.pyannote[2542].speaker SPEAKER_17
transcript.pyannote[2542].start 28495.96596875
transcript.pyannote[2542].end 28496.87721875
transcript.pyannote[2543].speaker SPEAKER_17
transcript.pyannote[2543].start 28496.89409375
transcript.pyannote[2543].end 28496.91096875
transcript.pyannote[2544].speaker SPEAKER_17
transcript.pyannote[2544].start 28497.24846875
transcript.pyannote[2544].end 28499.50971875
transcript.pyannote[2545].speaker SPEAKER_09
transcript.pyannote[2545].start 28512.09846875
transcript.pyannote[2545].end 28518.94971875
transcript.pyannote[2546].speaker SPEAKER_09
transcript.pyannote[2546].start 28519.28721875
transcript.pyannote[2546].end 28521.21096875
transcript.pyannote[2547].speaker SPEAKER_31
transcript.pyannote[2547].start 28521.58221875
transcript.pyannote[2547].end 28521.75096875
transcript.pyannote[2548].speaker SPEAKER_09
transcript.pyannote[2548].start 28521.75096875
transcript.pyannote[2548].end 28522.88159375
transcript.pyannote[2549].speaker SPEAKER_31
transcript.pyannote[2549].start 28521.76784375
transcript.pyannote[2549].end 28521.91971875
transcript.pyannote[2550].speaker SPEAKER_31
transcript.pyannote[2550].start 28523.38784375
transcript.pyannote[2550].end 28539.06471875
transcript.pyannote[2551].speaker SPEAKER_31
transcript.pyannote[2551].start 28539.77346875
transcript.pyannote[2551].end 28540.83659375
transcript.pyannote[2552].speaker SPEAKER_31
transcript.pyannote[2552].start 28541.07284375
transcript.pyannote[2552].end 28546.81034375
transcript.pyannote[2553].speaker SPEAKER_31
transcript.pyannote[2553].start 28547.19846875
transcript.pyannote[2553].end 28548.21096875
transcript.pyannote[2554].speaker SPEAKER_31
transcript.pyannote[2554].start 28549.02096875
transcript.pyannote[2554].end 28553.59409375
transcript.pyannote[2555].speaker SPEAKER_31
transcript.pyannote[2555].start 28554.13409375
transcript.pyannote[2555].end 28555.23096875
transcript.pyannote[2556].speaker SPEAKER_31
transcript.pyannote[2556].start 28555.88909375
transcript.pyannote[2556].end 28556.31096875
transcript.pyannote[2557].speaker SPEAKER_31
transcript.pyannote[2557].start 28556.98596875
transcript.pyannote[2557].end 28563.33096875
transcript.pyannote[2558].speaker SPEAKER_07
transcript.pyannote[2558].start 28563.56721875
transcript.pyannote[2558].end 28565.11971875
transcript.pyannote[2559].speaker SPEAKER_07
transcript.pyannote[2559].start 28565.57534375
transcript.pyannote[2559].end 28568.61284375
transcript.pyannote[2560].speaker SPEAKER_07
transcript.pyannote[2560].start 28568.86596875
transcript.pyannote[2560].end 28570.03034375
transcript.pyannote[2561].speaker SPEAKER_07
transcript.pyannote[2561].start 28570.14846875
transcript.pyannote[2561].end 28572.37596875
transcript.pyannote[2562].speaker SPEAKER_07
transcript.pyannote[2562].start 28573.11846875
transcript.pyannote[2562].end 28575.48096875
transcript.pyannote[2563].speaker SPEAKER_07
transcript.pyannote[2563].start 28575.81846875
transcript.pyannote[2563].end 28578.06284375
transcript.pyannote[2564].speaker SPEAKER_07
transcript.pyannote[2564].start 28578.33284375
transcript.pyannote[2564].end 28580.44221875
transcript.pyannote[2565].speaker SPEAKER_07
transcript.pyannote[2565].start 28580.76284375
transcript.pyannote[2565].end 28582.97346875
transcript.pyannote[2566].speaker SPEAKER_07
transcript.pyannote[2566].start 28583.24346875
transcript.pyannote[2566].end 28583.90159375
transcript.pyannote[2567].speaker SPEAKER_07
transcript.pyannote[2567].start 28583.96909375
transcript.pyannote[2567].end 28587.14159375
transcript.pyannote[2568].speaker SPEAKER_07
transcript.pyannote[2568].start 28587.39471875
transcript.pyannote[2568].end 28590.06096875
transcript.pyannote[2569].speaker SPEAKER_07
transcript.pyannote[2569].start 28590.28034375
transcript.pyannote[2569].end 28593.35159375
transcript.pyannote[2570].speaker SPEAKER_07
transcript.pyannote[2570].start 28593.63846875
transcript.pyannote[2570].end 28599.13971875
transcript.pyannote[2571].speaker SPEAKER_07
transcript.pyannote[2571].start 28599.30846875
transcript.pyannote[2571].end 28599.74721875
transcript.pyannote[2572].speaker SPEAKER_07
transcript.pyannote[2572].start 28599.91596875
transcript.pyannote[2572].end 28601.65409375
transcript.pyannote[2573].speaker SPEAKER_07
transcript.pyannote[2573].start 28601.89034375
transcript.pyannote[2573].end 28603.61159375
transcript.pyannote[2574].speaker SPEAKER_07
transcript.pyannote[2574].start 28603.78034375
transcript.pyannote[2574].end 28605.26534375
transcript.pyannote[2575].speaker SPEAKER_07
transcript.pyannote[2575].start 28605.85596875
transcript.pyannote[2575].end 28608.23534375
transcript.pyannote[2576].speaker SPEAKER_07
transcript.pyannote[2576].start 28608.40409375
transcript.pyannote[2576].end 28610.71596875
transcript.pyannote[2577].speaker SPEAKER_09
transcript.pyannote[2577].start 28611.10409375
transcript.pyannote[2577].end 28628.45159375
transcript.pyannote[2578].speaker SPEAKER_09
transcript.pyannote[2578].start 28628.67096875
transcript.pyannote[2578].end 28629.43034375
transcript.pyannote[2579].speaker SPEAKER_09
transcript.pyannote[2579].start 28630.15596875
transcript.pyannote[2579].end 28631.21909375
transcript.pyannote[2580].speaker SPEAKER_09
transcript.pyannote[2580].start 28632.31596875
transcript.pyannote[2580].end 28635.20159375
transcript.pyannote[2581].speaker SPEAKER_09
transcript.pyannote[2581].start 28635.50534375
transcript.pyannote[2581].end 28639.65659375
transcript.pyannote[2582].speaker SPEAKER_09
transcript.pyannote[2582].start 28639.92659375
transcript.pyannote[2582].end 28647.45284375
transcript.pyannote[2583].speaker SPEAKER_09
transcript.pyannote[2583].start 28647.90846875
transcript.pyannote[2583].end 28649.57909375
transcript.pyannote[2584].speaker SPEAKER_17
transcript.pyannote[2584].start 28650.62534375
transcript.pyannote[2584].end 28653.10596875
transcript.pyannote[2585].speaker SPEAKER_17
transcript.pyannote[2585].start 28653.98346875
transcript.pyannote[2585].end 28654.01721875
transcript.pyannote[2586].speaker SPEAKER_09
transcript.pyannote[2586].start 28654.01721875
transcript.pyannote[2586].end 28657.22346875
transcript.pyannote[2587].speaker SPEAKER_17
transcript.pyannote[2587].start 28654.37159375
transcript.pyannote[2587].end 28654.77659375
transcript.pyannote[2588].speaker SPEAKER_31
transcript.pyannote[2588].start 28658.13471875
transcript.pyannote[2588].end 28669.69409375
transcript.pyannote[2589].speaker SPEAKER_31
transcript.pyannote[2589].start 28669.94721875
transcript.pyannote[2589].end 28673.92971875
transcript.pyannote[2590].speaker SPEAKER_31
transcript.pyannote[2590].start 28674.40221875
transcript.pyannote[2590].end 28682.72159375
transcript.pyannote[2591].speaker SPEAKER_31
transcript.pyannote[2591].start 28683.48096875
transcript.pyannote[2591].end 28685.40471875
transcript.pyannote[2592].speaker SPEAKER_31
transcript.pyannote[2592].start 28685.75909375
transcript.pyannote[2592].end 28703.59596875
transcript.pyannote[2593].speaker SPEAKER_31
transcript.pyannote[2593].start 28704.25409375
transcript.pyannote[2593].end 28704.55784375
transcript.pyannote[2594].speaker SPEAKER_31
transcript.pyannote[2594].start 28704.77721875
transcript.pyannote[2594].end 28707.83159375
transcript.pyannote[2595].speaker SPEAKER_17
transcript.pyannote[2595].start 28708.33784375
transcript.pyannote[2595].end 28715.37471875
transcript.pyannote[2596].speaker SPEAKER_17
transcript.pyannote[2596].start 28715.40846875
transcript.pyannote[2596].end 28723.79534375
transcript.pyannote[2597].speaker SPEAKER_31
transcript.pyannote[2597].start 28724.52096875
transcript.pyannote[2597].end 28724.72346875
transcript.pyannote[2598].speaker SPEAKER_17
transcript.pyannote[2598].start 28724.72346875
transcript.pyannote[2598].end 28724.74034375
transcript.pyannote[2599].speaker SPEAKER_31
transcript.pyannote[2599].start 28726.32659375
transcript.pyannote[2599].end 28728.85784375
transcript.pyannote[2600].speaker SPEAKER_31
transcript.pyannote[2600].start 28729.21221875
transcript.pyannote[2600].end 28731.72659375
transcript.pyannote[2601].speaker SPEAKER_31
transcript.pyannote[2601].start 28732.23284375
transcript.pyannote[2601].end 28738.62846875
transcript.pyannote[2602].speaker SPEAKER_31
transcript.pyannote[2602].start 28738.83096875
transcript.pyannote[2602].end 28742.20596875
transcript.pyannote[2603].speaker SPEAKER_31
transcript.pyannote[2603].start 28742.81346875
transcript.pyannote[2603].end 28747.60596875
transcript.pyannote[2604].speaker SPEAKER_07
transcript.pyannote[2604].start 28748.92221875
transcript.pyannote[2604].end 28749.49596875
transcript.pyannote[2605].speaker SPEAKER_07
transcript.pyannote[2605].start 28749.69846875
transcript.pyannote[2605].end 28752.63471875
transcript.pyannote[2606].speaker SPEAKER_07
transcript.pyannote[2606].start 28753.12409375
transcript.pyannote[2606].end 28755.70596875
transcript.pyannote[2607].speaker SPEAKER_07
transcript.pyannote[2607].start 28756.26284375
transcript.pyannote[2607].end 28756.95471875
transcript.pyannote[2608].speaker SPEAKER_07
transcript.pyannote[2608].start 28757.34284375
transcript.pyannote[2608].end 28759.36784375
transcript.pyannote[2609].speaker SPEAKER_07
transcript.pyannote[2609].start 28759.67159375
transcript.pyannote[2609].end 28760.93721875
transcript.pyannote[2610].speaker SPEAKER_07
transcript.pyannote[2610].start 28761.20721875
transcript.pyannote[2610].end 28763.60346875
transcript.pyannote[2611].speaker SPEAKER_07
transcript.pyannote[2611].start 28764.00846875
transcript.pyannote[2611].end 28766.57346875
transcript.pyannote[2612].speaker SPEAKER_07
transcript.pyannote[2612].start 28766.82659375
transcript.pyannote[2612].end 28768.29471875
transcript.pyannote[2613].speaker SPEAKER_07
transcript.pyannote[2613].start 28768.66596875
transcript.pyannote[2613].end 28775.60159375
transcript.pyannote[2614].speaker SPEAKER_31
transcript.pyannote[2614].start 28776.32721875
transcript.pyannote[2614].end 28776.58034375
transcript.pyannote[2615].speaker SPEAKER_31
transcript.pyannote[2615].start 28776.78284375
transcript.pyannote[2615].end 28784.59596875
transcript.pyannote[2616].speaker SPEAKER_31
transcript.pyannote[2616].start 28785.03471875
transcript.pyannote[2616].end 28789.15221875
transcript.pyannote[2617].speaker SPEAKER_07
transcript.pyannote[2617].start 28789.64159375
transcript.pyannote[2617].end 28791.85221875
transcript.pyannote[2618].speaker SPEAKER_07
transcript.pyannote[2618].start 28792.30784375
transcript.pyannote[2618].end 28799.49659375
transcript.pyannote[2619].speaker SPEAKER_09
transcript.pyannote[2619].start 28799.66534375
transcript.pyannote[2619].end 28808.44034375
transcript.pyannote[2620].speaker SPEAKER_07
transcript.pyannote[2620].start 28803.98534375
transcript.pyannote[2620].end 28804.37346875
transcript.pyannote[2621].speaker SPEAKER_09
transcript.pyannote[2621].start 28809.21659375
transcript.pyannote[2621].end 28813.40159375
transcript.pyannote[2622].speaker SPEAKER_09
transcript.pyannote[2622].start 28813.68846875
transcript.pyannote[2622].end 28815.20721875
transcript.pyannote[2623].speaker SPEAKER_09
transcript.pyannote[2623].start 28815.42659375
transcript.pyannote[2623].end 28816.91159375
transcript.pyannote[2624].speaker SPEAKER_09
transcript.pyannote[2624].start 28817.45159375
transcript.pyannote[2624].end 28818.88596875
transcript.pyannote[2625].speaker SPEAKER_31
transcript.pyannote[2625].start 28819.12221875
transcript.pyannote[2625].end 28819.94909375
transcript.pyannote[2626].speaker SPEAKER_31
transcript.pyannote[2626].start 28820.47221875
transcript.pyannote[2626].end 28822.41284375
transcript.pyannote[2627].speaker SPEAKER_31
transcript.pyannote[2627].start 28822.71659375
transcript.pyannote[2627].end 28830.51284375
transcript.pyannote[2628].speaker SPEAKER_31
transcript.pyannote[2628].start 28830.76596875
transcript.pyannote[2628].end 28831.87971875
transcript.pyannote[2629].speaker SPEAKER_07
transcript.pyannote[2629].start 28831.59284375
transcript.pyannote[2629].end 28834.51221875
transcript.pyannote[2630].speaker SPEAKER_31
transcript.pyannote[2630].start 28833.28034375
transcript.pyannote[2630].end 28833.38159375
transcript.pyannote[2631].speaker SPEAKER_31
transcript.pyannote[2631].start 28833.85409375
transcript.pyannote[2631].end 28835.54159375
transcript.pyannote[2632].speaker SPEAKER_31
transcript.pyannote[2632].start 28836.03096875
transcript.pyannote[2632].end 28837.34721875
transcript.pyannote[2633].speaker SPEAKER_31
transcript.pyannote[2633].start 28837.49909375
transcript.pyannote[2633].end 28841.21159375
transcript.pyannote[2634].speaker SPEAKER_31
transcript.pyannote[2634].start 28841.51534375
transcript.pyannote[2634].end 28842.59534375
transcript.pyannote[2635].speaker SPEAKER_31
transcript.pyannote[2635].start 28843.43909375
transcript.pyannote[2635].end 28843.94534375
transcript.pyannote[2636].speaker SPEAKER_31
transcript.pyannote[2636].start 28843.96221875
transcript.pyannote[2636].end 28851.38721875
transcript.pyannote[2637].speaker SPEAKER_31
transcript.pyannote[2637].start 28852.16346875
transcript.pyannote[2637].end 28853.58096875
transcript.pyannote[2638].speaker SPEAKER_06
transcript.pyannote[2638].start 28853.58096875
transcript.pyannote[2638].end 28853.81721875
transcript.pyannote[2639].speaker SPEAKER_31
transcript.pyannote[2639].start 28853.81721875
transcript.pyannote[2639].end 28859.14971875
transcript.pyannote[2640].speaker SPEAKER_31
transcript.pyannote[2640].start 28859.75721875
transcript.pyannote[2640].end 28861.41096875
transcript.pyannote[2641].speaker SPEAKER_31
transcript.pyannote[2641].start 28861.76534375
transcript.pyannote[2641].end 28872.78471875
transcript.pyannote[2642].speaker SPEAKER_31
transcript.pyannote[2642].start 28873.25721875
transcript.pyannote[2642].end 28874.40471875
transcript.pyannote[2643].speaker SPEAKER_31
transcript.pyannote[2643].start 28874.96159375
transcript.pyannote[2643].end 28878.40409375
transcript.pyannote[2644].speaker SPEAKER_31
transcript.pyannote[2644].start 28878.80909375
transcript.pyannote[2644].end 28880.27721875
transcript.pyannote[2645].speaker SPEAKER_31
transcript.pyannote[2645].start 28881.20534375
transcript.pyannote[2645].end 28884.29346875
transcript.pyannote[2646].speaker SPEAKER_31
transcript.pyannote[2646].start 28884.66471875
transcript.pyannote[2646].end 28886.67284375
transcript.pyannote[2647].speaker SPEAKER_31
transcript.pyannote[2647].start 28887.22971875
transcript.pyannote[2647].end 28889.06909375
transcript.pyannote[2648].speaker SPEAKER_31
transcript.pyannote[2648].start 28889.47409375
transcript.pyannote[2648].end 28890.14909375
transcript.pyannote[2649].speaker SPEAKER_31
transcript.pyannote[2649].start 28890.31784375
transcript.pyannote[2649].end 28892.44409375
transcript.pyannote[2650].speaker SPEAKER_31
transcript.pyannote[2650].start 28892.74784375
transcript.pyannote[2650].end 28897.40534375
transcript.pyannote[2651].speaker SPEAKER_00
transcript.pyannote[2651].start 28896.73034375
transcript.pyannote[2651].end 28896.78096875
transcript.pyannote[2652].speaker SPEAKER_31
transcript.pyannote[2652].start 28897.75971875
transcript.pyannote[2652].end 28900.40909375
transcript.pyannote[2653].speaker SPEAKER_31
transcript.pyannote[2653].start 28901.16846875
transcript.pyannote[2653].end 28906.31534375
transcript.pyannote[2654].speaker SPEAKER_31
transcript.pyannote[2654].start 28906.43346875
transcript.pyannote[2654].end 28915.76534375
transcript.pyannote[2655].speaker SPEAKER_25
transcript.pyannote[2655].start 28908.45846875
transcript.pyannote[2655].end 28908.96471875
transcript.pyannote[2656].speaker SPEAKER_00
transcript.pyannote[2656].start 28908.96471875
transcript.pyannote[2656].end 28909.11659375
transcript.pyannote[2657].speaker SPEAKER_31
transcript.pyannote[2657].start 28916.22096875
transcript.pyannote[2657].end 28917.25034375
transcript.pyannote[2658].speaker SPEAKER_31
transcript.pyannote[2658].start 28917.68909375
transcript.pyannote[2658].end 28925.02971875
transcript.pyannote[2659].speaker SPEAKER_31
transcript.pyannote[2659].start 28925.55284375
transcript.pyannote[2659].end 28931.79659375
transcript.pyannote[2660].speaker SPEAKER_31
transcript.pyannote[2660].start 28932.06659375
transcript.pyannote[2660].end 28935.27284375
transcript.pyannote[2661].speaker SPEAKER_31
transcript.pyannote[2661].start 28935.67784375
transcript.pyannote[2661].end 28937.90534375
transcript.pyannote[2662].speaker SPEAKER_31
transcript.pyannote[2662].start 28938.34409375
transcript.pyannote[2662].end 28938.86721875
transcript.pyannote[2663].speaker SPEAKER_31
transcript.pyannote[2663].start 28939.12034375
transcript.pyannote[2663].end 28940.99346875
transcript.pyannote[2664].speaker SPEAKER_31
transcript.pyannote[2664].start 28941.38159375
transcript.pyannote[2664].end 28944.85784375
transcript.pyannote[2665].speaker SPEAKER_31
transcript.pyannote[2665].start 28945.53284375
transcript.pyannote[2665].end 28946.46096875
transcript.pyannote[2666].speaker SPEAKER_31
transcript.pyannote[2666].start 28946.73096875
transcript.pyannote[2666].end 28947.97971875
transcript.pyannote[2667].speaker SPEAKER_31
transcript.pyannote[2667].start 28948.48596875
transcript.pyannote[2667].end 28953.63284375
transcript.pyannote[2668].speaker SPEAKER_31
transcript.pyannote[2668].start 28953.97034375
transcript.pyannote[2668].end 28955.57346875
transcript.pyannote[2669].speaker SPEAKER_07
transcript.pyannote[2669].start 28955.75909375
transcript.pyannote[2669].end 28959.62346875
transcript.pyannote[2670].speaker SPEAKER_07
transcript.pyannote[2670].start 28960.07909375
transcript.pyannote[2670].end 28964.04471875
transcript.pyannote[2671].speaker SPEAKER_07
transcript.pyannote[2671].start 28964.38221875
transcript.pyannote[2671].end 28965.96846875
transcript.pyannote[2672].speaker SPEAKER_07
transcript.pyannote[2672].start 28966.15409375
transcript.pyannote[2672].end 28969.10721875
transcript.pyannote[2673].speaker SPEAKER_07
transcript.pyannote[2673].start 28969.41096875
transcript.pyannote[2673].end 28973.57909375
transcript.pyannote[2674].speaker SPEAKER_07
transcript.pyannote[2674].start 28974.00096875
transcript.pyannote[2674].end 28975.43534375
transcript.pyannote[2675].speaker SPEAKER_07
transcript.pyannote[2675].start 28975.65471875
transcript.pyannote[2675].end 28976.36346875
transcript.pyannote[2676].speaker SPEAKER_07
transcript.pyannote[2676].start 28976.66721875
transcript.pyannote[2676].end 28980.95346875
transcript.pyannote[2677].speaker SPEAKER_07
transcript.pyannote[2677].start 28981.24034375
transcript.pyannote[2677].end 28983.99096875
transcript.pyannote[2678].speaker SPEAKER_07
transcript.pyannote[2678].start 28984.24409375
transcript.pyannote[2678].end 28986.01596875
transcript.pyannote[2679].speaker SPEAKER_07
transcript.pyannote[2679].start 28986.18471875
transcript.pyannote[2679].end 28987.41659375
transcript.pyannote[2680].speaker SPEAKER_07
transcript.pyannote[2680].start 28987.73721875
transcript.pyannote[2680].end 28988.36159375
transcript.pyannote[2681].speaker SPEAKER_31
transcript.pyannote[2681].start 28988.73284375
transcript.pyannote[2681].end 28989.30659375
transcript.pyannote[2682].speaker SPEAKER_31
transcript.pyannote[2682].start 28989.71159375
transcript.pyannote[2682].end 28991.04471875
transcript.pyannote[2683].speaker SPEAKER_31
transcript.pyannote[2683].start 28991.78721875
transcript.pyannote[2683].end 28993.08659375
transcript.pyannote[2684].speaker SPEAKER_31
transcript.pyannote[2684].start 28993.69409375
transcript.pyannote[2684].end 28997.86221875
transcript.pyannote[2685].speaker SPEAKER_31
transcript.pyannote[2685].start 28998.36846875
transcript.pyannote[2685].end 29000.37659375
transcript.pyannote[2686].speaker SPEAKER_31
transcript.pyannote[2686].start 29000.56221875
transcript.pyannote[2686].end 29003.95409375
transcript.pyannote[2687].speaker SPEAKER_25
transcript.pyannote[2687].start 29004.25784375
transcript.pyannote[2687].end 29004.59534375
transcript.pyannote[2688].speaker SPEAKER_31
transcript.pyannote[2688].start 29004.59534375
transcript.pyannote[2688].end 29007.21096875
transcript.pyannote[2689].speaker SPEAKER_31
transcript.pyannote[2689].start 29007.48096875
transcript.pyannote[2689].end 29016.23909375
transcript.pyannote[2690].speaker SPEAKER_31
transcript.pyannote[2690].start 29017.20096875
transcript.pyannote[2690].end 29020.86284375
transcript.pyannote[2691].speaker SPEAKER_31
transcript.pyannote[2691].start 29021.58846875
transcript.pyannote[2691].end 29023.22534375
transcript.pyannote[2692].speaker SPEAKER_31
transcript.pyannote[2692].start 29023.47846875
transcript.pyannote[2692].end 29024.17034375
transcript.pyannote[2693].speaker SPEAKER_31
transcript.pyannote[2693].start 29024.52471875
transcript.pyannote[2693].end 29032.33784375
transcript.pyannote[2694].speaker SPEAKER_07
transcript.pyannote[2694].start 29031.86534375
transcript.pyannote[2694].end 29032.84409375
transcript.pyannote[2695].speaker SPEAKER_31
transcript.pyannote[2695].start 29032.96221875
transcript.pyannote[2695].end 29036.70846875
transcript.pyannote[2696].speaker SPEAKER_31
transcript.pyannote[2696].start 29037.34971875
transcript.pyannote[2696].end 29038.34534375
transcript.pyannote[2697].speaker SPEAKER_31
transcript.pyannote[2697].start 29038.96971875
transcript.pyannote[2697].end 29039.84721875
transcript.pyannote[2698].speaker SPEAKER_31
transcript.pyannote[2698].start 29040.25221875
transcript.pyannote[2698].end 29047.17096875
transcript.pyannote[2699].speaker SPEAKER_31
transcript.pyannote[2699].start 29047.71096875
transcript.pyannote[2699].end 29048.95971875
transcript.pyannote[2700].speaker SPEAKER_31
transcript.pyannote[2700].start 29049.53346875
transcript.pyannote[2700].end 29054.68034375
transcript.pyannote[2701].speaker SPEAKER_31
transcript.pyannote[2701].start 29054.95034375
transcript.pyannote[2701].end 29056.38471875
transcript.pyannote[2702].speaker SPEAKER_31
transcript.pyannote[2702].start 29056.70534375
transcript.pyannote[2702].end 29056.73909375
transcript.pyannote[2703].speaker SPEAKER_25
transcript.pyannote[2703].start 29056.73909375
transcript.pyannote[2703].end 29056.78971875
transcript.pyannote[2704].speaker SPEAKER_07
transcript.pyannote[2704].start 29057.31284375
transcript.pyannote[2704].end 29060.89034375
transcript.pyannote[2705].speaker SPEAKER_07
transcript.pyannote[2705].start 29061.78471875
transcript.pyannote[2705].end 29061.81846875
transcript.pyannote[2706].speaker SPEAKER_17
transcript.pyannote[2706].start 29061.81846875
transcript.pyannote[2706].end 29066.32409375
transcript.pyannote[2707].speaker SPEAKER_17
transcript.pyannote[2707].start 29066.93159375
transcript.pyannote[2707].end 29070.52596875
transcript.pyannote[2708].speaker SPEAKER_17
transcript.pyannote[2708].start 29070.98159375
transcript.pyannote[2708].end 29072.63534375
transcript.pyannote[2709].speaker SPEAKER_31
transcript.pyannote[2709].start 29072.90534375
transcript.pyannote[2709].end 29079.19971875
transcript.pyannote[2710].speaker SPEAKER_31
transcript.pyannote[2710].start 29079.57096875
transcript.pyannote[2710].end 29080.87034375
transcript.pyannote[2711].speaker SPEAKER_31
transcript.pyannote[2711].start 29081.34284375
transcript.pyannote[2711].end 29083.31721875
transcript.pyannote[2712].speaker SPEAKER_25
transcript.pyannote[2712].start 29083.31721875
transcript.pyannote[2712].end 29083.57034375
transcript.pyannote[2713].speaker SPEAKER_31
transcript.pyannote[2713].start 29083.57034375
transcript.pyannote[2713].end 29094.80909375
transcript.pyannote[2714].speaker SPEAKER_31
transcript.pyannote[2714].start 29095.31534375
transcript.pyannote[2714].end 29097.42471875
transcript.pyannote[2715].speaker SPEAKER_31
transcript.pyannote[2715].start 29097.88034375
transcript.pyannote[2715].end 29116.39221875
transcript.pyannote[2716].speaker SPEAKER_31
transcript.pyannote[2716].start 29117.10096875
transcript.pyannote[2716].end 29118.38346875
transcript.pyannote[2717].speaker SPEAKER_31
transcript.pyannote[2717].start 29118.58596875
transcript.pyannote[2717].end 29131.36034375
transcript.pyannote[2718].speaker SPEAKER_00
transcript.pyannote[2718].start 29120.45909375
transcript.pyannote[2718].end 29120.71221875
transcript.pyannote[2719].speaker SPEAKER_31
transcript.pyannote[2719].start 29131.83284375
transcript.pyannote[2719].end 29135.41034375
transcript.pyannote[2720].speaker SPEAKER_31
transcript.pyannote[2720].start 29135.78159375
transcript.pyannote[2720].end 29135.93346875
transcript.pyannote[2721].speaker SPEAKER_17
transcript.pyannote[2721].start 29136.03471875
transcript.pyannote[2721].end 29145.19784375
transcript.pyannote[2722].speaker SPEAKER_31
transcript.pyannote[2722].start 29145.41721875
transcript.pyannote[2722].end 29149.39971875
transcript.pyannote[2723].speaker SPEAKER_31
transcript.pyannote[2723].start 29149.55159375
transcript.pyannote[2723].end 29155.45784375
transcript.pyannote[2724].speaker SPEAKER_07
transcript.pyannote[2724].start 29151.86346875
transcript.pyannote[2724].end 29153.55096875
transcript.pyannote[2725].speaker SPEAKER_07
transcript.pyannote[2725].start 29154.83346875
transcript.pyannote[2725].end 29155.96409375
transcript.pyannote[2726].speaker SPEAKER_16
transcript.pyannote[2726].start 29155.45784375
transcript.pyannote[2726].end 29155.47471875
transcript.pyannote[2727].speaker SPEAKER_16
transcript.pyannote[2727].start 29155.96409375
transcript.pyannote[2727].end 29156.74034375
transcript.pyannote[2728].speaker SPEAKER_31
transcript.pyannote[2728].start 29157.06096875
transcript.pyannote[2728].end 29157.75284375
transcript.pyannote[2729].speaker SPEAKER_16
transcript.pyannote[2729].start 29157.17909375
transcript.pyannote[2729].end 29157.38159375
transcript.pyannote[2730].speaker SPEAKER_16
transcript.pyannote[2730].start 29158.09034375
transcript.pyannote[2730].end 29160.75659375
transcript.pyannote[2731].speaker SPEAKER_31
transcript.pyannote[2731].start 29158.59659375
transcript.pyannote[2731].end 29159.25471875
transcript.pyannote[2732].speaker SPEAKER_03
transcript.pyannote[2732].start 29162.51159375
transcript.pyannote[2732].end 29162.86596875
transcript.pyannote[2733].speaker SPEAKER_03
transcript.pyannote[2733].start 29163.94596875
transcript.pyannote[2733].end 29166.27471875
transcript.pyannote[2734].speaker SPEAKER_03
transcript.pyannote[2734].start 29167.74284375
transcript.pyannote[2734].end 29173.05846875
transcript.pyannote[2735].speaker SPEAKER_16
transcript.pyannote[2735].start 29167.75971875
transcript.pyannote[2735].end 29168.33346875
transcript.pyannote[2736].speaker SPEAKER_00
transcript.pyannote[2736].start 29168.33346875
transcript.pyannote[2736].end 29168.35034375
transcript.pyannote[2737].speaker SPEAKER_25
transcript.pyannote[2737].start 29377.14471875
transcript.pyannote[2737].end 29378.03909375
transcript.pyannote[2738].speaker SPEAKER_25
transcript.pyannote[2738].start 29378.56221875
transcript.pyannote[2738].end 29379.03471875
transcript.pyannote[2739].speaker SPEAKER_25
transcript.pyannote[2739].start 29379.69284375
transcript.pyannote[2739].end 29382.27471875
transcript.pyannote[2740].speaker SPEAKER_25
transcript.pyannote[2740].start 29443.96971875
transcript.pyannote[2740].end 29444.00346875
transcript.pyannote[2741].speaker SPEAKER_02
transcript.pyannote[2741].start 29547.46409375
transcript.pyannote[2741].end 29548.03784375
transcript.pyannote[2742].speaker SPEAKER_03
transcript.pyannote[2742].start 29833.64721875
transcript.pyannote[2742].end 29838.03471875
transcript.pyannote[2743].speaker SPEAKER_11
transcript.pyannote[2743].start 29850.45471875
transcript.pyannote[2743].end 29852.78346875
transcript.pyannote[2744].speaker SPEAKER_03
transcript.pyannote[2744].start 29853.00284375
transcript.pyannote[2744].end 29854.23471875
transcript.pyannote[2745].speaker SPEAKER_17
transcript.pyannote[2745].start 29863.76909375
transcript.pyannote[2745].end 29864.35971875
transcript.pyannote[2746].speaker SPEAKER_11
transcript.pyannote[2746].start 29864.35971875
transcript.pyannote[2746].end 29872.78034375
transcript.pyannote[2747].speaker SPEAKER_11
transcript.pyannote[2747].start 29873.06721875
transcript.pyannote[2747].end 29932.88909375
transcript.pyannote[2748].speaker SPEAKER_11
transcript.pyannote[2748].start 29933.58096875
transcript.pyannote[2748].end 29944.27971875
transcript.pyannote[2749].speaker SPEAKER_11
transcript.pyannote[2749].start 29944.85346875
transcript.pyannote[2749].end 29945.19096875
transcript.pyannote[2750].speaker SPEAKER_17
transcript.pyannote[2750].start 29945.00534375
transcript.pyannote[2750].end 29945.03909375
transcript.pyannote[2751].speaker SPEAKER_17
transcript.pyannote[2751].start 29945.08971875
transcript.pyannote[2751].end 29945.15721875
transcript.pyannote[2752].speaker SPEAKER_17
transcript.pyannote[2752].start 29945.19096875
transcript.pyannote[2752].end 29946.62534375
transcript.pyannote[2753].speaker SPEAKER_11
transcript.pyannote[2753].start 29946.62534375
transcript.pyannote[2753].end 29973.97971875
transcript.pyannote[2754].speaker SPEAKER_11
transcript.pyannote[2754].start 29974.38471875
transcript.pyannote[2754].end 29974.53659375
transcript.pyannote[2755].speaker SPEAKER_11
transcript.pyannote[2755].start 29974.58721875
transcript.pyannote[2755].end 30053.71409375
transcript.pyannote[2756].speaker SPEAKER_16
transcript.pyannote[2756].start 30053.32596875
transcript.pyannote[2756].end 30054.03471875
transcript.pyannote[2757].speaker SPEAKER_11
transcript.pyannote[2757].start 30054.28784375
transcript.pyannote[2757].end 30054.60846875
transcript.pyannote[2758].speaker SPEAKER_11
transcript.pyannote[2758].start 30055.09784375
transcript.pyannote[2758].end 30068.68221875
transcript.pyannote[2759].speaker SPEAKER_11
transcript.pyannote[2759].start 30069.03659375
transcript.pyannote[2759].end 30084.61221875
transcript.pyannote[2760].speaker SPEAKER_11
transcript.pyannote[2760].start 30085.06784375
transcript.pyannote[2760].end 30128.79096875
transcript.pyannote[2761].speaker SPEAKER_11
transcript.pyannote[2761].start 30128.92596875
transcript.pyannote[2761].end 30129.73596875
transcript.pyannote[2762].speaker SPEAKER_11
transcript.pyannote[2762].start 30130.63034375
transcript.pyannote[2762].end 30134.10659375
transcript.pyannote[2763].speaker SPEAKER_11
transcript.pyannote[2763].start 30135.28784375
transcript.pyannote[2763].end 30182.01471875
transcript.pyannote[2764].speaker SPEAKER_11
transcript.pyannote[2764].start 30182.67284375
transcript.pyannote[2764].end 30198.14721875
transcript.pyannote[2765].speaker SPEAKER_11
transcript.pyannote[2765].start 30198.33284375
transcript.pyannote[2765].end 30208.47471875
transcript.pyannote[2766].speaker SPEAKER_11
transcript.pyannote[2766].start 30208.69409375
transcript.pyannote[2766].end 30252.90659375
transcript.pyannote[2767].speaker SPEAKER_11
transcript.pyannote[2767].start 30253.19346875
transcript.pyannote[2767].end 30254.25659375
transcript.pyannote[2768].speaker SPEAKER_11
transcript.pyannote[2768].start 30255.40409375
transcript.pyannote[2768].end 30271.23284375
transcript.pyannote[2769].speaker SPEAKER_17
transcript.pyannote[2769].start 30271.63784375
transcript.pyannote[2769].end 30272.75159375
transcript.pyannote[2770].speaker SPEAKER_17
transcript.pyannote[2770].start 30272.93721875
transcript.pyannote[2770].end 30274.92846875
transcript.pyannote[2771].speaker SPEAKER_17
transcript.pyannote[2771].start 30275.09721875
transcript.pyannote[2771].end 30287.07846875
transcript.pyannote[2772].speaker SPEAKER_11
transcript.pyannote[2772].start 30278.42159375
transcript.pyannote[2772].end 30281.45909375
transcript.pyannote[2773].speaker SPEAKER_17
transcript.pyannote[2773].start 30287.39909375
transcript.pyannote[2773].end 30302.50221875
transcript.pyannote[2774].speaker SPEAKER_11
transcript.pyannote[2774].start 30301.92846875
transcript.pyannote[2774].end 30334.37909375
transcript.pyannote[2775].speaker SPEAKER_17
transcript.pyannote[2775].start 30303.49784375
transcript.pyannote[2775].end 30303.85221875
transcript.pyannote[2776].speaker SPEAKER_17
transcript.pyannote[2776].start 30334.95284375
transcript.pyannote[2776].end 30335.69534375
transcript.pyannote[2777].speaker SPEAKER_07
transcript.pyannote[2777].start 30335.69534375
transcript.pyannote[2777].end 30343.44096875
transcript.pyannote[2778].speaker SPEAKER_11
transcript.pyannote[2778].start 30335.71221875
transcript.pyannote[2778].end 30335.77971875
transcript.pyannote[2779].speaker SPEAKER_17
transcript.pyannote[2779].start 30335.77971875
transcript.pyannote[2779].end 30336.23534375
transcript.pyannote[2780].speaker SPEAKER_11
transcript.pyannote[2780].start 30336.23534375
transcript.pyannote[2780].end 30336.28596875
transcript.pyannote[2781].speaker SPEAKER_17
transcript.pyannote[2781].start 30336.28596875
transcript.pyannote[2781].end 30336.33659375
transcript.pyannote[2782].speaker SPEAKER_11
transcript.pyannote[2782].start 30336.33659375
transcript.pyannote[2782].end 30336.84284375
transcript.pyannote[2783].speaker SPEAKER_07
transcript.pyannote[2783].start 30343.62659375
transcript.pyannote[2783].end 30354.62909375
transcript.pyannote[2784].speaker SPEAKER_11
transcript.pyannote[2784].start 30348.28409375
transcript.pyannote[2784].end 30348.84096875
transcript.pyannote[2785].speaker SPEAKER_11
transcript.pyannote[2785].start 30353.56596875
transcript.pyannote[2785].end 30365.27721875
transcript.pyannote[2786].speaker SPEAKER_07
transcript.pyannote[2786].start 30356.02971875
transcript.pyannote[2786].end 30356.78909375
transcript.pyannote[2787].speaker SPEAKER_07
transcript.pyannote[2787].start 30364.83846875
transcript.pyannote[2787].end 30368.68596875
transcript.pyannote[2788].speaker SPEAKER_11
transcript.pyannote[2788].start 30367.40346875
transcript.pyannote[2788].end 30432.65909375
transcript.pyannote[2789].speaker SPEAKER_07
transcript.pyannote[2789].start 30432.91221875
transcript.pyannote[2789].end 30434.36346875
transcript.pyannote[2790].speaker SPEAKER_07
transcript.pyannote[2790].start 30434.65034375
transcript.pyannote[2790].end 30438.31221875
transcript.pyannote[2791].speaker SPEAKER_07
transcript.pyannote[2791].start 30438.70034375
transcript.pyannote[2791].end 30440.70846875
transcript.pyannote[2792].speaker SPEAKER_07
transcript.pyannote[2792].start 30441.11346875
transcript.pyannote[2792].end 30444.16784375
transcript.pyannote[2793].speaker SPEAKER_07
transcript.pyannote[2793].start 30444.45471875
transcript.pyannote[2793].end 30445.24784375
transcript.pyannote[2794].speaker SPEAKER_07
transcript.pyannote[2794].start 30445.43346875
transcript.pyannote[2794].end 30447.44159375
transcript.pyannote[2795].speaker SPEAKER_07
transcript.pyannote[2795].start 30447.81284375
transcript.pyannote[2795].end 30451.20471875
transcript.pyannote[2796].speaker SPEAKER_07
transcript.pyannote[2796].start 30451.42409375
transcript.pyannote[2796].end 30455.25471875
transcript.pyannote[2797].speaker SPEAKER_07
transcript.pyannote[2797].start 30455.50784375
transcript.pyannote[2797].end 30458.68034375
transcript.pyannote[2798].speaker SPEAKER_07
transcript.pyannote[2798].start 30458.88284375
transcript.pyannote[2798].end 30463.52346875
transcript.pyannote[2799].speaker SPEAKER_11
transcript.pyannote[2799].start 30462.89909375
transcript.pyannote[2799].end 30494.40471875
transcript.pyannote[2800].speaker SPEAKER_07
transcript.pyannote[2800].start 30494.40471875
transcript.pyannote[2800].end 30495.73784375
transcript.pyannote[2801].speaker SPEAKER_11
transcript.pyannote[2801].start 30494.42159375
transcript.pyannote[2801].end 30496.37909375
transcript.pyannote[2802].speaker SPEAKER_07
transcript.pyannote[2802].start 30496.42971875
transcript.pyannote[2802].end 30508.09034375
transcript.pyannote[2803].speaker SPEAKER_11
transcript.pyannote[2803].start 30508.05659375
transcript.pyannote[2803].end 30597.88221875
transcript.pyannote[2804].speaker SPEAKER_07
transcript.pyannote[2804].start 30508.59659375
transcript.pyannote[2804].end 30508.96784375
transcript.pyannote[2805].speaker SPEAKER_11
transcript.pyannote[2805].start 30598.47284375
transcript.pyannote[2805].end 30603.60284375
transcript.pyannote[2806].speaker SPEAKER_11
transcript.pyannote[2806].start 30603.97409375
transcript.pyannote[2806].end 30606.60659375
transcript.pyannote[2807].speaker SPEAKER_11
transcript.pyannote[2807].start 30607.07909375
transcript.pyannote[2807].end 30608.39534375
transcript.pyannote[2808].speaker SPEAKER_11
transcript.pyannote[2808].start 30610.84221875
transcript.pyannote[2808].end 30612.49596875
transcript.pyannote[2809].speaker SPEAKER_11
transcript.pyannote[2809].start 30613.06971875
transcript.pyannote[2809].end 30624.25784375
transcript.pyannote[2810].speaker SPEAKER_07
transcript.pyannote[2810].start 30624.39284375
transcript.pyannote[2810].end 30629.59034375
transcript.pyannote[2811].speaker SPEAKER_07
transcript.pyannote[2811].start 30629.62409375
transcript.pyannote[2811].end 30632.35784375
transcript.pyannote[2812].speaker SPEAKER_07
transcript.pyannote[2812].start 30632.83034375
transcript.pyannote[2812].end 30634.53471875
transcript.pyannote[2813].speaker SPEAKER_07
transcript.pyannote[2813].start 30634.61909375
transcript.pyannote[2813].end 30636.17159375
transcript.pyannote[2814].speaker SPEAKER_07
transcript.pyannote[2814].start 30636.54284375
transcript.pyannote[2814].end 30640.79534375
transcript.pyannote[2815].speaker SPEAKER_07
transcript.pyannote[2815].start 30640.93034375
transcript.pyannote[2815].end 30642.22971875
transcript.pyannote[2816].speaker SPEAKER_07
transcript.pyannote[2816].start 30642.29721875
transcript.pyannote[2816].end 30643.49534375
transcript.pyannote[2817].speaker SPEAKER_07
transcript.pyannote[2817].start 30643.68096875
transcript.pyannote[2817].end 30646.80284375
transcript.pyannote[2818].speaker SPEAKER_11
transcript.pyannote[2818].start 30645.84096875
transcript.pyannote[2818].end 30695.03159375
transcript.pyannote[2819].speaker SPEAKER_11
transcript.pyannote[2819].start 30695.23409375
transcript.pyannote[2819].end 30704.31284375
transcript.pyannote[2820].speaker SPEAKER_11
transcript.pyannote[2820].start 30704.80221875
transcript.pyannote[2820].end 30733.08471875
transcript.pyannote[2821].speaker SPEAKER_11
transcript.pyannote[2821].start 30733.23659375
transcript.pyannote[2821].end 30755.15721875
transcript.pyannote[2822].speaker SPEAKER_17
transcript.pyannote[2822].start 30755.15721875
transcript.pyannote[2822].end 30755.17409375
transcript.pyannote[2823].speaker SPEAKER_17
transcript.pyannote[2823].start 30755.35971875
transcript.pyannote[2823].end 30756.86159375
transcript.pyannote[2824].speaker SPEAKER_17
transcript.pyannote[2824].start 30756.94596875
transcript.pyannote[2824].end 30769.50096875
transcript.pyannote[2825].speaker SPEAKER_03
transcript.pyannote[2825].start 30785.51534375
transcript.pyannote[2825].end 30786.05534375
transcript.pyannote[2826].speaker SPEAKER_03
transcript.pyannote[2826].start 30786.54471875
transcript.pyannote[2826].end 30791.37096875
transcript.pyannote[2827].speaker SPEAKER_26
transcript.pyannote[2827].start 30818.52284375
transcript.pyannote[2827].end 30821.10471875
transcript.pyannote[2828].speaker SPEAKER_03
transcript.pyannote[2828].start 30821.08784375
transcript.pyannote[2828].end 30822.74159375
transcript.pyannote[2829].speaker SPEAKER_17
transcript.pyannote[2829].start 30831.06096875
transcript.pyannote[2829].end 30831.66846875
transcript.pyannote[2830].speaker SPEAKER_26
transcript.pyannote[2830].start 30832.46159375
transcript.pyannote[2830].end 30838.68846875
transcript.pyannote[2831].speaker SPEAKER_26
transcript.pyannote[2831].start 30839.22846875
transcript.pyannote[2831].end 30839.88659375
transcript.pyannote[2832].speaker SPEAKER_26
transcript.pyannote[2832].start 30840.66284375
transcript.pyannote[2832].end 30843.26159375
transcript.pyannote[2833].speaker SPEAKER_26
transcript.pyannote[2833].start 30843.61596875
transcript.pyannote[2833].end 30854.02784375
transcript.pyannote[2834].speaker SPEAKER_26
transcript.pyannote[2834].start 30854.60159375
transcript.pyannote[2834].end 30860.32221875
transcript.pyannote[2835].speaker SPEAKER_26
transcript.pyannote[2835].start 30860.60909375
transcript.pyannote[2835].end 30865.78971875
transcript.pyannote[2836].speaker SPEAKER_26
transcript.pyannote[2836].start 30866.17784375
transcript.pyannote[2836].end 30868.35471875
transcript.pyannote[2837].speaker SPEAKER_26
transcript.pyannote[2837].start 30868.86096875
transcript.pyannote[2837].end 30871.24034375
transcript.pyannote[2838].speaker SPEAKER_26
transcript.pyannote[2838].start 30871.88159375
transcript.pyannote[2838].end 30876.16784375
transcript.pyannote[2839].speaker SPEAKER_26
transcript.pyannote[2839].start 30876.69096875
transcript.pyannote[2839].end 30877.06221875
transcript.pyannote[2840].speaker SPEAKER_26
transcript.pyannote[2840].start 30877.48409375
transcript.pyannote[2840].end 30887.96346875
transcript.pyannote[2841].speaker SPEAKER_07
transcript.pyannote[2841].start 30888.77346875
transcript.pyannote[2841].end 30888.85784375
transcript.pyannote[2842].speaker SPEAKER_07
transcript.pyannote[2842].start 30890.46096875
transcript.pyannote[2842].end 30893.14409375
transcript.pyannote[2843].speaker SPEAKER_07
transcript.pyannote[2843].start 30893.48159375
transcript.pyannote[2843].end 30896.28284375
transcript.pyannote[2844].speaker SPEAKER_07
transcript.pyannote[2844].start 30896.51909375
transcript.pyannote[2844].end 30901.48034375
transcript.pyannote[2845].speaker SPEAKER_07
transcript.pyannote[2845].start 30901.71659375
transcript.pyannote[2845].end 30904.36596875
transcript.pyannote[2846].speaker SPEAKER_07
transcript.pyannote[2846].start 30904.63596875
transcript.pyannote[2846].end 30909.04034375
transcript.pyannote[2847].speaker SPEAKER_07
transcript.pyannote[2847].start 30909.34409375
transcript.pyannote[2847].end 30910.45784375
transcript.pyannote[2848].speaker SPEAKER_07
transcript.pyannote[2848].start 30910.76159375
transcript.pyannote[2848].end 30920.05971875
transcript.pyannote[2849].speaker SPEAKER_26
transcript.pyannote[2849].start 30914.89596875
transcript.pyannote[2849].end 30916.04346875
transcript.pyannote[2850].speaker SPEAKER_26
transcript.pyannote[2850].start 30920.36346875
transcript.pyannote[2850].end 30929.35784375
transcript.pyannote[2851].speaker SPEAKER_26
transcript.pyannote[2851].start 30929.61096875
transcript.pyannote[2851].end 30933.37409375
transcript.pyannote[2852].speaker SPEAKER_26
transcript.pyannote[2852].start 30933.77909375
transcript.pyannote[2852].end 30934.18409375
transcript.pyannote[2853].speaker SPEAKER_26
transcript.pyannote[2853].start 30934.21784375
transcript.pyannote[2853].end 30934.47096875
transcript.pyannote[2854].speaker SPEAKER_26
transcript.pyannote[2854].start 30935.07846875
transcript.pyannote[2854].end 30935.31471875
transcript.pyannote[2855].speaker SPEAKER_26
transcript.pyannote[2855].start 30935.71971875
transcript.pyannote[2855].end 30937.52534375
transcript.pyannote[2856].speaker SPEAKER_26
transcript.pyannote[2856].start 30938.13284375
transcript.pyannote[2856].end 30939.70221875
transcript.pyannote[2857].speaker SPEAKER_26
transcript.pyannote[2857].start 30939.93846875
transcript.pyannote[2857].end 30945.27096875
transcript.pyannote[2858].speaker SPEAKER_26
transcript.pyannote[2858].start 30945.70971875
transcript.pyannote[2858].end 30948.47721875
transcript.pyannote[2859].speaker SPEAKER_26
transcript.pyannote[2859].start 30948.56159375
transcript.pyannote[2859].end 30951.90284375
transcript.pyannote[2860].speaker SPEAKER_26
transcript.pyannote[2860].start 30952.17284375
transcript.pyannote[2860].end 30955.71659375
transcript.pyannote[2861].speaker SPEAKER_26
transcript.pyannote[2861].start 30955.93596875
transcript.pyannote[2861].end 30964.12034375
transcript.pyannote[2862].speaker SPEAKER_07
transcript.pyannote[2862].start 30964.91346875
transcript.pyannote[2862].end 30966.33096875
transcript.pyannote[2863].speaker SPEAKER_07
transcript.pyannote[2863].start 30966.36471875
transcript.pyannote[2863].end 30970.06034375
transcript.pyannote[2864].speaker SPEAKER_07
transcript.pyannote[2864].start 30970.41471875
transcript.pyannote[2864].end 30973.38471875
transcript.pyannote[2865].speaker SPEAKER_07
transcript.pyannote[2865].start 30973.67159375
transcript.pyannote[2865].end 30975.61221875
transcript.pyannote[2866].speaker SPEAKER_07
transcript.pyannote[2866].start 30976.08471875
transcript.pyannote[2866].end 30978.10971875
transcript.pyannote[2867].speaker SPEAKER_07
transcript.pyannote[2867].start 30978.34596875
transcript.pyannote[2867].end 30980.03346875
transcript.pyannote[2868].speaker SPEAKER_07
transcript.pyannote[2868].start 30980.30346875
transcript.pyannote[2868].end 30981.97409375
transcript.pyannote[2869].speaker SPEAKER_07
transcript.pyannote[2869].start 30982.36221875
transcript.pyannote[2869].end 30982.66596875
transcript.pyannote[2870].speaker SPEAKER_07
transcript.pyannote[2870].start 30983.03721875
transcript.pyannote[2870].end 30986.12534375
transcript.pyannote[2871].speaker SPEAKER_07
transcript.pyannote[2871].start 30986.54721875
transcript.pyannote[2871].end 30988.62284375
transcript.pyannote[2872].speaker SPEAKER_07
transcript.pyannote[2872].start 30988.97721875
transcript.pyannote[2872].end 30990.42846875
transcript.pyannote[2873].speaker SPEAKER_07
transcript.pyannote[2873].start 30990.76596875
transcript.pyannote[2873].end 30994.36034375
transcript.pyannote[2874].speaker SPEAKER_07
transcript.pyannote[2874].start 30994.71471875
transcript.pyannote[2874].end 30996.25034375
transcript.pyannote[2875].speaker SPEAKER_07
transcript.pyannote[2875].start 30996.58784375
transcript.pyannote[2875].end 30998.78159375
transcript.pyannote[2876].speaker SPEAKER_07
transcript.pyannote[2876].start 30999.15284375
transcript.pyannote[2876].end 31000.50284375
transcript.pyannote[2877].speaker SPEAKER_07
transcript.pyannote[2877].start 31000.77284375
transcript.pyannote[2877].end 31002.62909375
transcript.pyannote[2878].speaker SPEAKER_07
transcript.pyannote[2878].start 31003.13534375
transcript.pyannote[2878].end 31006.91534375
transcript.pyannote[2879].speaker SPEAKER_26
transcript.pyannote[2879].start 31006.72971875
transcript.pyannote[2879].end 31015.43721875
transcript.pyannote[2880].speaker SPEAKER_07
transcript.pyannote[2880].start 31012.19721875
transcript.pyannote[2880].end 31012.51784375
transcript.pyannote[2881].speaker SPEAKER_00
transcript.pyannote[2881].start 31012.51784375
transcript.pyannote[2881].end 31012.56846875
transcript.pyannote[2882].speaker SPEAKER_26
transcript.pyannote[2882].start 31015.53846875
transcript.pyannote[2882].end 31021.76534375
transcript.pyannote[2883].speaker SPEAKER_07
transcript.pyannote[2883].start 31019.48721875
transcript.pyannote[2883].end 31019.80784375
transcript.pyannote[2884].speaker SPEAKER_07
transcript.pyannote[2884].start 31020.51659375
transcript.pyannote[2884].end 31024.39784375
transcript.pyannote[2885].speaker SPEAKER_07
transcript.pyannote[2885].start 31024.66784375
transcript.pyannote[2885].end 31030.81034375
transcript.pyannote[2886].speaker SPEAKER_26
transcript.pyannote[2886].start 31029.71346875
transcript.pyannote[2886].end 31036.53096875
transcript.pyannote[2887].speaker SPEAKER_07
transcript.pyannote[2887].start 31034.23596875
transcript.pyannote[2887].end 31034.25284375
transcript.pyannote[2888].speaker SPEAKER_07
transcript.pyannote[2888].start 31034.26971875
transcript.pyannote[2888].end 31034.32034375
transcript.pyannote[2889].speaker SPEAKER_07
transcript.pyannote[2889].start 31034.64096875
transcript.pyannote[2889].end 31034.99534375
transcript.pyannote[2890].speaker SPEAKER_23
transcript.pyannote[2890].start 31034.99534375
transcript.pyannote[2890].end 31035.01221875
transcript.pyannote[2891].speaker SPEAKER_26
transcript.pyannote[2891].start 31036.83471875
transcript.pyannote[2891].end 31038.43784375
transcript.pyannote[2892].speaker SPEAKER_26
transcript.pyannote[2892].start 31038.69096875
transcript.pyannote[2892].end 31052.15721875
transcript.pyannote[2893].speaker SPEAKER_26
transcript.pyannote[2893].start 31052.37659375
transcript.pyannote[2893].end 31052.88284375
transcript.pyannote[2894].speaker SPEAKER_26
transcript.pyannote[2894].start 31053.50721875
transcript.pyannote[2894].end 31060.03784375
transcript.pyannote[2895].speaker SPEAKER_17
transcript.pyannote[2895].start 31060.56096875
transcript.pyannote[2895].end 31061.21909375
transcript.pyannote[2896].speaker SPEAKER_26
transcript.pyannote[2896].start 31061.55659375
transcript.pyannote[2896].end 31088.86034375
transcript.pyannote[2897].speaker SPEAKER_26
transcript.pyannote[2897].start 31089.28221875
transcript.pyannote[2897].end 31093.80471875
transcript.pyannote[2898].speaker SPEAKER_26
transcript.pyannote[2898].start 31094.29409375
transcript.pyannote[2898].end 31102.79909375
transcript.pyannote[2899].speaker SPEAKER_26
transcript.pyannote[2899].start 31103.11971875
transcript.pyannote[2899].end 31134.57471875
transcript.pyannote[2900].speaker SPEAKER_26
transcript.pyannote[2900].start 31134.97971875
transcript.pyannote[2900].end 31143.88971875
transcript.pyannote[2901].speaker SPEAKER_26
transcript.pyannote[2901].start 31144.09221875
transcript.pyannote[2901].end 31160.89971875
transcript.pyannote[2902].speaker SPEAKER_26
transcript.pyannote[2902].start 31161.18659375
transcript.pyannote[2902].end 31165.75971875
transcript.pyannote[2903].speaker SPEAKER_26
transcript.pyannote[2903].start 31165.89471875
transcript.pyannote[2903].end 31170.88971875
transcript.pyannote[2904].speaker SPEAKER_26
transcript.pyannote[2904].start 31170.97409375
transcript.pyannote[2904].end 31179.66471875
transcript.pyannote[2905].speaker SPEAKER_26
transcript.pyannote[2905].start 31180.05284375
transcript.pyannote[2905].end 31182.09471875
transcript.pyannote[2906].speaker SPEAKER_26
transcript.pyannote[2906].start 31182.41534375
transcript.pyannote[2906].end 31192.38846875
transcript.pyannote[2907].speaker SPEAKER_17
transcript.pyannote[2907].start 31193.40096875
transcript.pyannote[2907].end 31198.19346875
transcript.pyannote[2908].speaker SPEAKER_17
transcript.pyannote[2908].start 31198.75034375
transcript.pyannote[2908].end 31206.93471875
transcript.pyannote[2909].speaker SPEAKER_17
transcript.pyannote[2909].start 31207.17096875
transcript.pyannote[2909].end 31211.25471875
transcript.pyannote[2910].speaker SPEAKER_17
transcript.pyannote[2910].start 31211.77784375
transcript.pyannote[2910].end 31213.68471875
transcript.pyannote[2911].speaker SPEAKER_17
transcript.pyannote[2911].start 31213.90409375
transcript.pyannote[2911].end 31216.97534375
transcript.pyannote[2912].speaker SPEAKER_17
transcript.pyannote[2912].start 31217.27909375
transcript.pyannote[2912].end 31219.43909375
transcript.pyannote[2913].speaker SPEAKER_26
transcript.pyannote[2913].start 31220.77221875
transcript.pyannote[2913].end 31225.80096875
transcript.pyannote[2914].speaker SPEAKER_26
transcript.pyannote[2914].start 31225.93596875
transcript.pyannote[2914].end 31239.01409375
transcript.pyannote[2915].speaker SPEAKER_26
transcript.pyannote[2915].start 31239.41909375
transcript.pyannote[2915].end 31247.55284375
transcript.pyannote[2916].speaker SPEAKER_26
transcript.pyannote[2916].start 31247.99159375
transcript.pyannote[2916].end 31258.97721875
transcript.pyannote[2917].speaker SPEAKER_26
transcript.pyannote[2917].start 31259.17971875
transcript.pyannote[2917].end 31262.25096875
transcript.pyannote[2918].speaker SPEAKER_26
transcript.pyannote[2918].start 31262.40284375
transcript.pyannote[2918].end 31267.49909375
transcript.pyannote[2919].speaker SPEAKER_26
transcript.pyannote[2919].start 31267.87034375
transcript.pyannote[2919].end 31275.29534375
transcript.pyannote[2920].speaker SPEAKER_26
transcript.pyannote[2920].start 31275.58221875
transcript.pyannote[2920].end 31286.93909375
transcript.pyannote[2921].speaker SPEAKER_26
transcript.pyannote[2921].start 31287.29346875
transcript.pyannote[2921].end 31289.48721875
transcript.pyannote[2922].speaker SPEAKER_26
transcript.pyannote[2922].start 31290.12846875
transcript.pyannote[2922].end 31296.59159375
transcript.pyannote[2923].speaker SPEAKER_10
transcript.pyannote[2923].start 31290.29721875
transcript.pyannote[2923].end 31290.49971875
transcript.pyannote[2924].speaker SPEAKER_26
transcript.pyannote[2924].start 31296.96284375
transcript.pyannote[2924].end 31309.65284375
transcript.pyannote[2925].speaker SPEAKER_00
transcript.pyannote[2925].start 31299.35909375
transcript.pyannote[2925].end 31299.83159375
transcript.pyannote[2926].speaker SPEAKER_26
transcript.pyannote[2926].start 31310.69909375
transcript.pyannote[2926].end 31310.71596875
transcript.pyannote[2927].speaker SPEAKER_17
transcript.pyannote[2927].start 31310.71596875
transcript.pyannote[2927].end 31312.40346875
transcript.pyannote[2928].speaker SPEAKER_17
transcript.pyannote[2928].start 31312.67346875
transcript.pyannote[2928].end 31318.15784375
transcript.pyannote[2929].speaker SPEAKER_07
transcript.pyannote[2929].start 31318.15784375
transcript.pyannote[2929].end 31318.17471875
transcript.pyannote[2930].speaker SPEAKER_07
transcript.pyannote[2930].start 31319.54159375
transcript.pyannote[2930].end 31319.91284375
transcript.pyannote[2931].speaker SPEAKER_06
transcript.pyannote[2931].start 31320.23346875
transcript.pyannote[2931].end 31321.19534375
transcript.pyannote[2932].speaker SPEAKER_07
transcript.pyannote[2932].start 31320.38534375
transcript.pyannote[2932].end 31320.75659375
transcript.pyannote[2933].speaker SPEAKER_07
transcript.pyannote[2933].start 31321.19534375
transcript.pyannote[2933].end 31321.60034375
transcript.pyannote[2934].speaker SPEAKER_07
transcript.pyannote[2934].start 31321.93784375
transcript.pyannote[2934].end 31325.61659375
transcript.pyannote[2935].speaker SPEAKER_07
transcript.pyannote[2935].start 31325.90346875
transcript.pyannote[2935].end 31326.81471875
transcript.pyannote[2936].speaker SPEAKER_07
transcript.pyannote[2936].start 31326.93284375
transcript.pyannote[2936].end 31331.01659375
transcript.pyannote[2937].speaker SPEAKER_07
transcript.pyannote[2937].start 31331.23596875
transcript.pyannote[2937].end 31332.92346875
transcript.pyannote[2938].speaker SPEAKER_07
transcript.pyannote[2938].start 31333.31159375
transcript.pyannote[2938].end 31335.50534375
transcript.pyannote[2939].speaker SPEAKER_07
transcript.pyannote[2939].start 31335.74159375
transcript.pyannote[2939].end 31337.05784375
transcript.pyannote[2940].speaker SPEAKER_07
transcript.pyannote[2940].start 31337.22659375
transcript.pyannote[2940].end 31337.61471875
transcript.pyannote[2941].speaker SPEAKER_07
transcript.pyannote[2941].start 31337.88471875
transcript.pyannote[2941].end 31340.24721875
transcript.pyannote[2942].speaker SPEAKER_07
transcript.pyannote[2942].start 31340.61846875
transcript.pyannote[2942].end 31346.79471875
transcript.pyannote[2943].speaker SPEAKER_25
transcript.pyannote[2943].start 31344.61784375
transcript.pyannote[2943].end 31344.97221875
transcript.pyannote[2944].speaker SPEAKER_07
transcript.pyannote[2944].start 31347.04784375
transcript.pyannote[2944].end 31349.59596875
transcript.pyannote[2945].speaker SPEAKER_07
transcript.pyannote[2945].start 31349.93346875
transcript.pyannote[2945].end 31351.31721875
transcript.pyannote[2946].speaker SPEAKER_07
transcript.pyannote[2946].start 31351.80659375
transcript.pyannote[2946].end 31354.13534375
transcript.pyannote[2947].speaker SPEAKER_07
transcript.pyannote[2947].start 31354.42221875
transcript.pyannote[2947].end 31356.32909375
transcript.pyannote[2948].speaker SPEAKER_26
transcript.pyannote[2948].start 31354.62471875
transcript.pyannote[2948].end 31354.96221875
transcript.pyannote[2949].speaker SPEAKER_07
transcript.pyannote[2949].start 31356.56534375
transcript.pyannote[2949].end 31363.16346875
transcript.pyannote[2950].speaker SPEAKER_26
transcript.pyannote[2950].start 31361.20596875
transcript.pyannote[2950].end 31379.43096875
transcript.pyannote[2951].speaker SPEAKER_11
transcript.pyannote[2951].start 31377.22034375
transcript.pyannote[2951].end 31377.25409375
transcript.pyannote[2952].speaker SPEAKER_00
transcript.pyannote[2952].start 31377.25409375
transcript.pyannote[2952].end 31377.27096875
transcript.pyannote[2953].speaker SPEAKER_26
transcript.pyannote[2953].start 31379.95409375
transcript.pyannote[2953].end 31387.32846875
transcript.pyannote[2954].speaker SPEAKER_26
transcript.pyannote[2954].start 31387.63221875
transcript.pyannote[2954].end 31388.69534375
transcript.pyannote[2955].speaker SPEAKER_26
transcript.pyannote[2955].start 31388.98221875
transcript.pyannote[2955].end 31389.62346875
transcript.pyannote[2956].speaker SPEAKER_26
transcript.pyannote[2956].start 31389.87659375
transcript.pyannote[2956].end 31390.70346875
transcript.pyannote[2957].speaker SPEAKER_26
transcript.pyannote[2957].start 31391.12534375
transcript.pyannote[2957].end 31410.31221875
transcript.pyannote[2958].speaker SPEAKER_26
transcript.pyannote[2958].start 31410.36284375
transcript.pyannote[2958].end 31415.27346875
transcript.pyannote[2959].speaker SPEAKER_26
transcript.pyannote[2959].start 31415.44221875
transcript.pyannote[2959].end 31426.51221875
transcript.pyannote[2960].speaker SPEAKER_26
transcript.pyannote[2960].start 31426.68096875
transcript.pyannote[2960].end 31433.58284375
transcript.pyannote[2961].speaker SPEAKER_26
transcript.pyannote[2961].start 31433.66721875
transcript.pyannote[2961].end 31438.57784375
transcript.pyannote[2962].speaker SPEAKER_26
transcript.pyannote[2962].start 31438.69596875
transcript.pyannote[2962].end 31439.69159375
transcript.pyannote[2963].speaker SPEAKER_26
transcript.pyannote[2963].start 31439.91096875
transcript.pyannote[2963].end 31445.98596875
transcript.pyannote[2964].speaker SPEAKER_26
transcript.pyannote[2964].start 31446.66096875
transcript.pyannote[2964].end 31453.78221875
transcript.pyannote[2965].speaker SPEAKER_26
transcript.pyannote[2965].start 31454.01846875
transcript.pyannote[2965].end 31463.48534375
transcript.pyannote[2966].speaker SPEAKER_26
transcript.pyannote[2966].start 31463.60346875
transcript.pyannote[2966].end 31471.28159375
transcript.pyannote[2967].speaker SPEAKER_26
transcript.pyannote[2967].start 31471.93971875
transcript.pyannote[2967].end 31495.53096875
transcript.pyannote[2968].speaker SPEAKER_26
transcript.pyannote[2968].start 31495.71659375
transcript.pyannote[2968].end 31496.22284375
transcript.pyannote[2969].speaker SPEAKER_26
transcript.pyannote[2969].start 31496.50971875
transcript.pyannote[2969].end 31498.73721875
transcript.pyannote[2970].speaker SPEAKER_26
transcript.pyannote[2970].start 31499.90159375
transcript.pyannote[2970].end 31501.50471875
transcript.pyannote[2971].speaker SPEAKER_26
transcript.pyannote[2971].start 31501.67346875
transcript.pyannote[2971].end 31510.54971875
transcript.pyannote[2972].speaker SPEAKER_26
transcript.pyannote[2972].start 31510.75221875
transcript.pyannote[2972].end 31526.81721875
transcript.pyannote[2973].speaker SPEAKER_07
transcript.pyannote[2973].start 31527.57659375
transcript.pyannote[2973].end 31528.82534375
transcript.pyannote[2974].speaker SPEAKER_07
transcript.pyannote[2974].start 31528.89284375
transcript.pyannote[2974].end 31531.44096875
transcript.pyannote[2975].speaker SPEAKER_07
transcript.pyannote[2975].start 31531.76159375
transcript.pyannote[2975].end 31532.43659375
transcript.pyannote[2976].speaker SPEAKER_07
transcript.pyannote[2976].start 31532.74034375
transcript.pyannote[2976].end 31534.14096875
transcript.pyannote[2977].speaker SPEAKER_07
transcript.pyannote[2977].start 31534.36034375
transcript.pyannote[2977].end 31536.14909375
transcript.pyannote[2978].speaker SPEAKER_07
transcript.pyannote[2978].start 31536.45284375
transcript.pyannote[2978].end 31538.62971875
transcript.pyannote[2979].speaker SPEAKER_07
transcript.pyannote[2979].start 31538.89971875
transcript.pyannote[2979].end 31541.73471875
transcript.pyannote[2980].speaker SPEAKER_07
transcript.pyannote[2980].start 31541.95409375
transcript.pyannote[2980].end 31543.72596875
transcript.pyannote[2981].speaker SPEAKER_07
transcript.pyannote[2981].start 31544.04659375
transcript.pyannote[2981].end 31545.95346875
transcript.pyannote[2982].speaker SPEAKER_07
transcript.pyannote[2982].start 31546.24034375
transcript.pyannote[2982].end 31547.25284375
transcript.pyannote[2983].speaker SPEAKER_07
transcript.pyannote[2983].start 31547.55659375
transcript.pyannote[2983].end 31549.22721875
transcript.pyannote[2984].speaker SPEAKER_07
transcript.pyannote[2984].start 31549.61534375
transcript.pyannote[2984].end 31552.82159375
transcript.pyannote[2985].speaker SPEAKER_07
transcript.pyannote[2985].start 31553.29409375
transcript.pyannote[2985].end 31554.01971875
transcript.pyannote[2986].speaker SPEAKER_07
transcript.pyannote[2986].start 31554.22221875
transcript.pyannote[2986].end 31557.49596875
transcript.pyannote[2987].speaker SPEAKER_07
transcript.pyannote[2987].start 31557.93471875
transcript.pyannote[2987].end 31559.18346875
transcript.pyannote[2988].speaker SPEAKER_07
transcript.pyannote[2988].start 31559.52096875
transcript.pyannote[2988].end 31562.05221875
transcript.pyannote[2989].speaker SPEAKER_07
transcript.pyannote[2989].start 31562.44034375
transcript.pyannote[2989].end 31564.85346875
transcript.pyannote[2990].speaker SPEAKER_07
transcript.pyannote[2990].start 31565.14034375
transcript.pyannote[2990].end 31568.24534375
transcript.pyannote[2991].speaker SPEAKER_26
transcript.pyannote[2991].start 31568.71784375
transcript.pyannote[2991].end 31583.17971875
transcript.pyannote[2992].speaker SPEAKER_00
transcript.pyannote[2992].start 31580.29409375
transcript.pyannote[2992].end 31580.36159375
transcript.pyannote[2993].speaker SPEAKER_07
transcript.pyannote[2993].start 31580.36159375
transcript.pyannote[2993].end 31580.66534375
transcript.pyannote[2994].speaker SPEAKER_26
transcript.pyannote[2994].start 31583.34846875
transcript.pyannote[2994].end 31585.47471875
transcript.pyannote[2995].speaker SPEAKER_26
transcript.pyannote[2995].start 31585.66034375
transcript.pyannote[2995].end 31601.96159375
transcript.pyannote[2996].speaker SPEAKER_26
transcript.pyannote[2996].start 31602.07971875
transcript.pyannote[2996].end 31610.04471875
transcript.pyannote[2997].speaker SPEAKER_26
transcript.pyannote[2997].start 31610.39909375
transcript.pyannote[2997].end 31610.41596875
transcript.pyannote[2998].speaker SPEAKER_25
transcript.pyannote[2998].start 31610.41596875
transcript.pyannote[2998].end 31611.04034375
transcript.pyannote[2999].speaker SPEAKER_26
transcript.pyannote[2999].start 31610.50034375
transcript.pyannote[2999].end 31610.97284375
transcript.pyannote[3000].speaker SPEAKER_26
transcript.pyannote[3000].start 31611.10784375
transcript.pyannote[3000].end 31612.55909375
transcript.pyannote[3001].speaker SPEAKER_26
transcript.pyannote[3001].start 31612.79534375
transcript.pyannote[3001].end 31621.87409375
transcript.pyannote[3002].speaker SPEAKER_26
transcript.pyannote[3002].start 31622.14409375
transcript.pyannote[3002].end 31629.99096875
transcript.pyannote[3003].speaker SPEAKER_26
transcript.pyannote[3003].start 31630.36221875
transcript.pyannote[3003].end 31630.95284375
transcript.pyannote[3004].speaker SPEAKER_26
transcript.pyannote[3004].start 31631.03721875
transcript.pyannote[3004].end 31631.96534375
transcript.pyannote[3005].speaker SPEAKER_26
transcript.pyannote[3005].start 31632.28596875
transcript.pyannote[3005].end 31638.49596875
transcript.pyannote[3006].speaker SPEAKER_26
transcript.pyannote[3006].start 31638.90096875
transcript.pyannote[3006].end 31664.53409375
transcript.pyannote[3007].speaker SPEAKER_00
transcript.pyannote[3007].start 31661.83409375
transcript.pyannote[3007].end 31661.90159375
transcript.pyannote[3008].speaker SPEAKER_25
transcript.pyannote[3008].start 31661.90159375
transcript.pyannote[3008].end 31662.01971875
transcript.pyannote[3009].speaker SPEAKER_00
transcript.pyannote[3009].start 31662.01971875
transcript.pyannote[3009].end 31662.17159375
transcript.pyannote[3010].speaker SPEAKER_26
transcript.pyannote[3010].start 31664.93909375
transcript.pyannote[3010].end 31677.67971875
transcript.pyannote[3011].speaker SPEAKER_26
transcript.pyannote[3011].start 31677.76409375
transcript.pyannote[3011].end 31681.51034375
transcript.pyannote[3012].speaker SPEAKER_26
transcript.pyannote[3012].start 31681.61159375
transcript.pyannote[3012].end 31684.14284375
transcript.pyannote[3013].speaker SPEAKER_26
transcript.pyannote[3013].start 31684.21034375
transcript.pyannote[3013].end 31690.80846875
transcript.pyannote[3014].speaker SPEAKER_17
transcript.pyannote[3014].start 31691.66909375
transcript.pyannote[3014].end 31693.17096875
transcript.pyannote[3015].speaker SPEAKER_17
transcript.pyannote[3015].start 31693.57596875
transcript.pyannote[3015].end 31694.06534375
transcript.pyannote[3016].speaker SPEAKER_17
transcript.pyannote[3016].start 31694.18346875
transcript.pyannote[3016].end 31696.51221875
transcript.pyannote[3017].speaker SPEAKER_17
transcript.pyannote[3017].start 31696.81596875
transcript.pyannote[3017].end 31698.72284375
transcript.pyannote[3018].speaker SPEAKER_17
transcript.pyannote[3018].start 31699.21221875
transcript.pyannote[3018].end 31702.09784375
transcript.pyannote[3019].speaker SPEAKER_17
transcript.pyannote[3019].start 31702.31721875
transcript.pyannote[3019].end 31704.08909375
transcript.pyannote[3020].speaker SPEAKER_17
transcript.pyannote[3020].start 31704.84846875
transcript.pyannote[3020].end 31707.14346875
transcript.pyannote[3021].speaker SPEAKER_17
transcript.pyannote[3021].start 31707.39659375
transcript.pyannote[3021].end 31709.16846875
transcript.pyannote[3022].speaker SPEAKER_17
transcript.pyannote[3022].start 31709.21909375
transcript.pyannote[3022].end 31713.52221875
transcript.pyannote[3023].speaker SPEAKER_17
transcript.pyannote[3023].start 31713.64034375
transcript.pyannote[3023].end 31715.64846875
transcript.pyannote[3024].speaker SPEAKER_17
transcript.pyannote[3024].start 31715.74971875
transcript.pyannote[3024].end 31717.74096875
transcript.pyannote[3025].speaker SPEAKER_17
transcript.pyannote[3025].start 31717.90971875
transcript.pyannote[3025].end 31719.00659375
transcript.pyannote[3026].speaker SPEAKER_17
transcript.pyannote[3026].start 31719.51284375
transcript.pyannote[3026].end 31722.43221875
transcript.pyannote[3027].speaker SPEAKER_17
transcript.pyannote[3027].start 31722.58409375
transcript.pyannote[3027].end 31724.71034375
transcript.pyannote[3028].speaker SPEAKER_26
transcript.pyannote[3028].start 31725.41909375
transcript.pyannote[3028].end 31726.14471875
transcript.pyannote[3029].speaker SPEAKER_26
transcript.pyannote[3029].start 31726.22909375
transcript.pyannote[3029].end 31731.67971875
transcript.pyannote[3030].speaker SPEAKER_26
transcript.pyannote[3030].start 31732.21971875
transcript.pyannote[3030].end 31734.19409375
transcript.pyannote[3031].speaker SPEAKER_26
transcript.pyannote[3031].start 31734.44721875
transcript.pyannote[3031].end 31737.41721875
transcript.pyannote[3032].speaker SPEAKER_03
transcript.pyannote[3032].start 31740.37034375
transcript.pyannote[3032].end 31743.15471875
transcript.pyannote[3033].speaker SPEAKER_03
transcript.pyannote[3033].start 31744.77471875
transcript.pyannote[3033].end 31747.50846875
transcript.pyannote[3034].speaker SPEAKER_23
transcript.pyannote[3034].start 31760.40096875
transcript.pyannote[3034].end 31762.61159375
transcript.pyannote[3035].speaker SPEAKER_03
transcript.pyannote[3035].start 31762.61159375
transcript.pyannote[3035].end 31764.14721875
transcript.pyannote[3036].speaker SPEAKER_17
transcript.pyannote[3036].start 31772.21346875
transcript.pyannote[3036].end 31772.71971875
transcript.pyannote[3037].speaker SPEAKER_23
transcript.pyannote[3037].start 31772.98971875
transcript.pyannote[3037].end 31800.85034375
transcript.pyannote[3038].speaker SPEAKER_23
transcript.pyannote[3038].start 31801.44096875
transcript.pyannote[3038].end 31862.81534375
transcript.pyannote[3039].speaker SPEAKER_23
transcript.pyannote[3039].start 31862.95034375
transcript.pyannote[3039].end 31906.85909375
transcript.pyannote[3040].speaker SPEAKER_17
transcript.pyannote[3040].start 31907.04471875
transcript.pyannote[3040].end 31914.28409375
transcript.pyannote[3041].speaker SPEAKER_23
transcript.pyannote[3041].start 31911.09471875
transcript.pyannote[3041].end 31913.08596875
transcript.pyannote[3042].speaker SPEAKER_23
transcript.pyannote[3042].start 31913.27159375
transcript.pyannote[3042].end 31918.19909375
transcript.pyannote[3043].speaker SPEAKER_17
transcript.pyannote[3043].start 31918.50284375
transcript.pyannote[3043].end 31919.58284375
transcript.pyannote[3044].speaker SPEAKER_17
transcript.pyannote[3044].start 31919.85284375
transcript.pyannote[3044].end 31920.19034375
transcript.pyannote[3045].speaker SPEAKER_23
transcript.pyannote[3045].start 31920.00471875
transcript.pyannote[3045].end 31929.13409375
transcript.pyannote[3046].speaker SPEAKER_17
transcript.pyannote[3046].start 31924.61159375
transcript.pyannote[3046].end 31925.18534375
transcript.pyannote[3047].speaker SPEAKER_07
transcript.pyannote[3047].start 31925.18534375
transcript.pyannote[3047].end 31925.20221875
transcript.pyannote[3048].speaker SPEAKER_07
transcript.pyannote[3048].start 31929.57284375
transcript.pyannote[3048].end 31929.99471875
transcript.pyannote[3049].speaker SPEAKER_23
transcript.pyannote[3049].start 31929.99471875
transcript.pyannote[3049].end 31942.43159375
transcript.pyannote[3050].speaker SPEAKER_23
transcript.pyannote[3050].start 31943.02221875
transcript.pyannote[3050].end 31947.08909375
transcript.pyannote[3051].speaker SPEAKER_17
transcript.pyannote[3051].start 31947.32534375
transcript.pyannote[3051].end 31948.03409375
transcript.pyannote[3052].speaker SPEAKER_07
transcript.pyannote[3052].start 31948.03409375
transcript.pyannote[3052].end 31950.26159375
transcript.pyannote[3053].speaker SPEAKER_23
transcript.pyannote[3053].start 31949.46846875
transcript.pyannote[3053].end 31950.93659375
transcript.pyannote[3054].speaker SPEAKER_07
transcript.pyannote[3054].start 31950.61596875
transcript.pyannote[3054].end 31951.64534375
transcript.pyannote[3055].speaker SPEAKER_07
transcript.pyannote[3055].start 31952.11784375
transcript.pyannote[3055].end 31955.27346875
transcript.pyannote[3056].speaker SPEAKER_07
transcript.pyannote[3056].start 31955.59409375
transcript.pyannote[3056].end 31957.72034375
transcript.pyannote[3057].speaker SPEAKER_07
transcript.pyannote[3057].start 31958.00721875
transcript.pyannote[3057].end 31960.53846875
transcript.pyannote[3058].speaker SPEAKER_07
transcript.pyannote[3058].start 31960.90971875
transcript.pyannote[3058].end 31966.02284375
transcript.pyannote[3059].speaker SPEAKER_00
transcript.pyannote[3059].start 31961.07846875
transcript.pyannote[3059].end 31961.09534375
transcript.pyannote[3060].speaker SPEAKER_16
transcript.pyannote[3060].start 31961.09534375
transcript.pyannote[3060].end 31961.58471875
transcript.pyannote[3061].speaker SPEAKER_16
transcript.pyannote[3061].start 31962.42846875
transcript.pyannote[3061].end 31962.69846875
transcript.pyannote[3062].speaker SPEAKER_07
transcript.pyannote[3062].start 31966.05659375
transcript.pyannote[3062].end 31967.94659375
transcript.pyannote[3063].speaker SPEAKER_16
transcript.pyannote[3063].start 31967.94659375
transcript.pyannote[3063].end 31968.46971875
transcript.pyannote[3064].speaker SPEAKER_07
transcript.pyannote[3064].start 31968.46971875
transcript.pyannote[3064].end 31970.71409375
transcript.pyannote[3065].speaker SPEAKER_07
transcript.pyannote[3065].start 31970.95034375
transcript.pyannote[3065].end 31972.78971875
transcript.pyannote[3066].speaker SPEAKER_07
transcript.pyannote[3066].start 31973.26221875
transcript.pyannote[3066].end 31978.08846875
transcript.pyannote[3067].speaker SPEAKER_07
transcript.pyannote[3067].start 31978.51034375
transcript.pyannote[3067].end 31978.86471875
transcript.pyannote[3068].speaker SPEAKER_07
transcript.pyannote[3068].start 31978.94909375
transcript.pyannote[3068].end 31984.95659375
transcript.pyannote[3069].speaker SPEAKER_00
transcript.pyannote[3069].start 31981.69971875
transcript.pyannote[3069].end 31982.32409375
transcript.pyannote[3070].speaker SPEAKER_00
transcript.pyannote[3070].start 31983.72471875
transcript.pyannote[3070].end 31984.24784375
transcript.pyannote[3071].speaker SPEAKER_07
transcript.pyannote[3071].start 31985.22659375
transcript.pyannote[3071].end 31988.07846875
transcript.pyannote[3072].speaker SPEAKER_07
transcript.pyannote[3072].start 31988.44971875
transcript.pyannote[3072].end 31995.77346875
transcript.pyannote[3073].speaker SPEAKER_23
transcript.pyannote[3073].start 31995.77346875
transcript.pyannote[3073].end 32001.96659375
transcript.pyannote[3074].speaker SPEAKER_07
transcript.pyannote[3074].start 31996.92096875
transcript.pyannote[3074].end 31997.17409375
transcript.pyannote[3075].speaker SPEAKER_07
transcript.pyannote[3075].start 31997.71409375
transcript.pyannote[3075].end 31998.82784375
transcript.pyannote[3076].speaker SPEAKER_07
transcript.pyannote[3076].start 31999.63784375
transcript.pyannote[3076].end 32003.51909375
transcript.pyannote[3077].speaker SPEAKER_23
transcript.pyannote[3077].start 32002.81034375
transcript.pyannote[3077].end 32005.62846875
transcript.pyannote[3078].speaker SPEAKER_07
transcript.pyannote[3078].start 32004.41346875
transcript.pyannote[3078].end 32006.97846875
transcript.pyannote[3079].speaker SPEAKER_07
transcript.pyannote[3079].start 32007.24846875
transcript.pyannote[3079].end 32010.18471875
transcript.pyannote[3080].speaker SPEAKER_07
transcript.pyannote[3080].start 32010.38721875
transcript.pyannote[3080].end 32011.53471875
transcript.pyannote[3081].speaker SPEAKER_07
transcript.pyannote[3081].start 32011.73721875
transcript.pyannote[3081].end 32014.03221875
transcript.pyannote[3082].speaker SPEAKER_07
transcript.pyannote[3082].start 32014.23471875
transcript.pyannote[3082].end 32015.23034375
transcript.pyannote[3083].speaker SPEAKER_23
transcript.pyannote[3083].start 32015.34846875
transcript.pyannote[3083].end 32016.71534375
transcript.pyannote[3084].speaker SPEAKER_07
transcript.pyannote[3084].start 32017.40721875
transcript.pyannote[3084].end 32019.34784375
transcript.pyannote[3085].speaker SPEAKER_07
transcript.pyannote[3085].start 32019.73596875
transcript.pyannote[3085].end 32024.34284375
transcript.pyannote[3086].speaker SPEAKER_07
transcript.pyannote[3086].start 32024.51159375
transcript.pyannote[3086].end 32026.08096875
transcript.pyannote[3087].speaker SPEAKER_07
transcript.pyannote[3087].start 32026.35096875
transcript.pyannote[3087].end 32027.49846875
transcript.pyannote[3088].speaker SPEAKER_07
transcript.pyannote[3088].start 32027.81909375
transcript.pyannote[3088].end 32031.90284375
transcript.pyannote[3089].speaker SPEAKER_23
transcript.pyannote[3089].start 32032.07159375
transcript.pyannote[3089].end 32032.57784375
transcript.pyannote[3090].speaker SPEAKER_23
transcript.pyannote[3090].start 32032.78034375
transcript.pyannote[3090].end 32037.15096875
transcript.pyannote[3091].speaker SPEAKER_07
transcript.pyannote[3091].start 32034.75471875
transcript.pyannote[3091].end 32035.78409375
transcript.pyannote[3092].speaker SPEAKER_07
transcript.pyannote[3092].start 32037.11721875
transcript.pyannote[3092].end 32041.42034375
transcript.pyannote[3093].speaker SPEAKER_23
transcript.pyannote[3093].start 32039.26034375
transcript.pyannote[3093].end 32039.76659375
transcript.pyannote[3094].speaker SPEAKER_23
transcript.pyannote[3094].start 32041.50471875
transcript.pyannote[3094].end 32076.63846875
transcript.pyannote[3095].speaker SPEAKER_07
transcript.pyannote[3095].start 32043.56346875
transcript.pyannote[3095].end 32043.88409375
transcript.pyannote[3096].speaker SPEAKER_07
transcript.pyannote[3096].start 32045.01471875
transcript.pyannote[3096].end 32046.71909375
transcript.pyannote[3097].speaker SPEAKER_00
transcript.pyannote[3097].start 32046.71909375
transcript.pyannote[3097].end 32046.73596875
transcript.pyannote[3098].speaker SPEAKER_25
transcript.pyannote[3098].start 32048.28846875
transcript.pyannote[3098].end 32048.30534375
transcript.pyannote[3099].speaker SPEAKER_07
transcript.pyannote[3099].start 32048.30534375
transcript.pyannote[3099].end 32048.82846875
transcript.pyannote[3100].speaker SPEAKER_25
transcript.pyannote[3100].start 32048.82846875
transcript.pyannote[3100].end 32048.86221875
transcript.pyannote[3101].speaker SPEAKER_00
transcript.pyannote[3101].start 32056.50659375
transcript.pyannote[3101].end 32056.97909375
transcript.pyannote[3102].speaker SPEAKER_07
transcript.pyannote[3102].start 32075.72721875
transcript.pyannote[3102].end 32080.77284375
transcript.pyannote[3103].speaker SPEAKER_23
transcript.pyannote[3103].start 32080.80659375
transcript.pyannote[3103].end 32085.27846875
transcript.pyannote[3104].speaker SPEAKER_23
transcript.pyannote[3104].start 32085.85221875
transcript.pyannote[3104].end 32091.91034375
transcript.pyannote[3105].speaker SPEAKER_00
transcript.pyannote[3105].start 32090.22284375
transcript.pyannote[3105].end 32090.49284375
transcript.pyannote[3106].speaker SPEAKER_23
transcript.pyannote[3106].start 32092.06221875
transcript.pyannote[3106].end 32103.72284375
transcript.pyannote[3107].speaker SPEAKER_00
transcript.pyannote[3107].start 32102.96346875
transcript.pyannote[3107].end 32102.98034375
transcript.pyannote[3108].speaker SPEAKER_25
transcript.pyannote[3108].start 32102.98034375
transcript.pyannote[3108].end 32103.31784375
transcript.pyannote[3109].speaker SPEAKER_23
transcript.pyannote[3109].start 32104.06034375
transcript.pyannote[3109].end 32106.45659375
transcript.pyannote[3110].speaker SPEAKER_23
transcript.pyannote[3110].start 32107.13159375
transcript.pyannote[3110].end 32113.98284375
transcript.pyannote[3111].speaker SPEAKER_07
transcript.pyannote[3111].start 32114.72534375
transcript.pyannote[3111].end 32118.04971875
transcript.pyannote[3112].speaker SPEAKER_07
transcript.pyannote[3112].start 32118.23534375
transcript.pyannote[3112].end 32122.04909375
transcript.pyannote[3113].speaker SPEAKER_07
transcript.pyannote[3113].start 32122.55534375
transcript.pyannote[3113].end 32124.76596875
transcript.pyannote[3114].speaker SPEAKER_07
transcript.pyannote[3114].start 32125.08659375
transcript.pyannote[3114].end 32127.11159375
transcript.pyannote[3115].speaker SPEAKER_07
transcript.pyannote[3115].start 32127.41534375
transcript.pyannote[3115].end 32127.75284375
transcript.pyannote[3116].speaker SPEAKER_07
transcript.pyannote[3116].start 32127.95534375
transcript.pyannote[3116].end 32130.23346875
transcript.pyannote[3117].speaker SPEAKER_07
transcript.pyannote[3117].start 32130.55409375
transcript.pyannote[3117].end 32131.33034375
transcript.pyannote[3118].speaker SPEAKER_07
transcript.pyannote[3118].start 32131.66784375
transcript.pyannote[3118].end 32133.10221875
transcript.pyannote[3119].speaker SPEAKER_00
transcript.pyannote[3119].start 32131.83659375
transcript.pyannote[3119].end 32132.25846875
transcript.pyannote[3120].speaker SPEAKER_07
transcript.pyannote[3120].start 32133.35534375
transcript.pyannote[3120].end 32136.32534375
transcript.pyannote[3121].speaker SPEAKER_07
transcript.pyannote[3121].start 32136.62909375
transcript.pyannote[3121].end 32138.45159375
transcript.pyannote[3122].speaker SPEAKER_07
transcript.pyannote[3122].start 32138.80596875
transcript.pyannote[3122].end 32141.50596875
transcript.pyannote[3123].speaker SPEAKER_07
transcript.pyannote[3123].start 32141.79284375
transcript.pyannote[3123].end 32143.85159375
transcript.pyannote[3124].speaker SPEAKER_07
transcript.pyannote[3124].start 32144.13846875
transcript.pyannote[3124].end 32144.88096875
transcript.pyannote[3125].speaker SPEAKER_07
transcript.pyannote[3125].start 32145.18471875
transcript.pyannote[3125].end 32146.53471875
transcript.pyannote[3126].speaker SPEAKER_07
transcript.pyannote[3126].start 32146.87221875
transcript.pyannote[3126].end 32148.61034375
transcript.pyannote[3127].speaker SPEAKER_07
transcript.pyannote[3127].start 32148.98159375
transcript.pyannote[3127].end 32152.13721875
transcript.pyannote[3128].speaker SPEAKER_07
transcript.pyannote[3128].start 32152.33971875
transcript.pyannote[3128].end 32153.90909375
transcript.pyannote[3129].speaker SPEAKER_00
transcript.pyannote[3129].start 32152.40721875
transcript.pyannote[3129].end 32152.69409375
transcript.pyannote[3130].speaker SPEAKER_07
transcript.pyannote[3130].start 32154.16221875
transcript.pyannote[3130].end 32157.35159375
transcript.pyannote[3131].speaker SPEAKER_07
transcript.pyannote[3131].start 32157.55409375
transcript.pyannote[3131].end 32158.87034375
transcript.pyannote[3132].speaker SPEAKER_07
transcript.pyannote[3132].start 32159.22471875
transcript.pyannote[3132].end 32161.03034375
transcript.pyannote[3133].speaker SPEAKER_07
transcript.pyannote[3133].start 32161.35096875
transcript.pyannote[3133].end 32163.98346875
transcript.pyannote[3134].speaker SPEAKER_07
transcript.pyannote[3134].start 32164.23659375
transcript.pyannote[3134].end 32166.19409375
transcript.pyannote[3135].speaker SPEAKER_07
transcript.pyannote[3135].start 32166.29534375
transcript.pyannote[3135].end 32172.40409375
transcript.pyannote[3136].speaker SPEAKER_23
transcript.pyannote[3136].start 32170.27784375
transcript.pyannote[3136].end 32185.36409375
transcript.pyannote[3137].speaker SPEAKER_23
transcript.pyannote[3137].start 32185.58346875
transcript.pyannote[3137].end 32204.29784375
transcript.pyannote[3138].speaker SPEAKER_23
transcript.pyannote[3138].start 32204.39909375
transcript.pyannote[3138].end 32205.66471875
transcript.pyannote[3139].speaker SPEAKER_23
transcript.pyannote[3139].start 32205.98534375
transcript.pyannote[3139].end 32223.60284375
transcript.pyannote[3140].speaker SPEAKER_23
transcript.pyannote[3140].start 32224.02471875
transcript.pyannote[3140].end 32230.11659375
transcript.pyannote[3141].speaker SPEAKER_17
transcript.pyannote[3141].start 32230.52159375
transcript.pyannote[3141].end 32235.80346875
transcript.pyannote[3142].speaker SPEAKER_17
transcript.pyannote[3142].start 32236.05659375
transcript.pyannote[3142].end 32245.54034375
transcript.pyannote[3143].speaker SPEAKER_17
transcript.pyannote[3143].start 32245.79346875
transcript.pyannote[3143].end 32247.78471875
transcript.pyannote[3144].speaker SPEAKER_17
transcript.pyannote[3144].start 32248.22346875
transcript.pyannote[3144].end 32251.56471875
transcript.pyannote[3145].speaker SPEAKER_17
transcript.pyannote[3145].start 32251.85159375
transcript.pyannote[3145].end 32256.54284375
transcript.pyannote[3146].speaker SPEAKER_23
transcript.pyannote[3146].start 32256.54284375
transcript.pyannote[3146].end 32330.82659375
transcript.pyannote[3147].speaker SPEAKER_17
transcript.pyannote[3147].start 32330.99534375
transcript.pyannote[3147].end 32334.30284375
transcript.pyannote[3148].speaker SPEAKER_17
transcript.pyannote[3148].start 32334.92721875
transcript.pyannote[3148].end 32335.24784375
transcript.pyannote[3149].speaker SPEAKER_23
transcript.pyannote[3149].start 32335.33221875
transcript.pyannote[3149].end 32342.18346875
transcript.pyannote[3150].speaker SPEAKER_17
transcript.pyannote[3150].start 32337.79596875
transcript.pyannote[3150].end 32339.33159375
transcript.pyannote[3151].speaker SPEAKER_23
transcript.pyannote[3151].start 32342.45346875
transcript.pyannote[3151].end 32347.39784375
transcript.pyannote[3152].speaker SPEAKER_23
transcript.pyannote[3152].start 32347.90409375
transcript.pyannote[3152].end 32349.38909375
transcript.pyannote[3153].speaker SPEAKER_23
transcript.pyannote[3153].start 32350.68846875
transcript.pyannote[3153].end 32351.71784375
transcript.pyannote[3154].speaker SPEAKER_17
transcript.pyannote[3154].start 32351.34659375
transcript.pyannote[3154].end 32352.07221875
transcript.pyannote[3155].speaker SPEAKER_23
transcript.pyannote[3155].start 32351.92034375
transcript.pyannote[3155].end 32353.23659375
transcript.pyannote[3156].speaker SPEAKER_17
transcript.pyannote[3156].start 32353.10159375
transcript.pyannote[3156].end 32357.25284375
transcript.pyannote[3157].speaker SPEAKER_23
transcript.pyannote[3157].start 32355.31221875
transcript.pyannote[3157].end 32363.12534375
transcript.pyannote[3158].speaker SPEAKER_23
transcript.pyannote[3158].start 32363.27721875
transcript.pyannote[3158].end 32382.37971875
transcript.pyannote[3159].speaker SPEAKER_00
transcript.pyannote[3159].start 32364.77909375
transcript.pyannote[3159].end 32364.79596875
transcript.pyannote[3160].speaker SPEAKER_17
transcript.pyannote[3160].start 32364.79596875
transcript.pyannote[3160].end 32364.96471875
transcript.pyannote[3161].speaker SPEAKER_00
transcript.pyannote[3161].start 32364.96471875
transcript.pyannote[3161].end 32365.42034375
transcript.pyannote[3162].speaker SPEAKER_23
transcript.pyannote[3162].start 32382.66659375
transcript.pyannote[3162].end 32386.02471875
transcript.pyannote[3163].speaker SPEAKER_23
transcript.pyannote[3163].start 32386.66596875
transcript.pyannote[3163].end 32394.83346875
transcript.pyannote[3164].speaker SPEAKER_23
transcript.pyannote[3164].start 32395.06971875
transcript.pyannote[3164].end 32396.75721875
transcript.pyannote[3165].speaker SPEAKER_23
transcript.pyannote[3165].start 32397.02721875
transcript.pyannote[3165].end 32397.95534375
transcript.pyannote[3166].speaker SPEAKER_23
transcript.pyannote[3166].start 32398.37721875
transcript.pyannote[3166].end 32423.23409375
transcript.pyannote[3167].speaker SPEAKER_23
transcript.pyannote[3167].start 32423.63909375
transcript.pyannote[3167].end 32425.41096875
transcript.pyannote[3168].speaker SPEAKER_23
transcript.pyannote[3168].start 32425.52909375
transcript.pyannote[3168].end 32428.80284375
transcript.pyannote[3169].speaker SPEAKER_23
transcript.pyannote[3169].start 32428.87034375
transcript.pyannote[3169].end 32432.92034375
transcript.pyannote[3170].speaker SPEAKER_23
transcript.pyannote[3170].start 32433.86534375
transcript.pyannote[3170].end 32454.77346875
transcript.pyannote[3171].speaker SPEAKER_23
transcript.pyannote[3171].start 32454.94221875
transcript.pyannote[3171].end 32478.73596875
transcript.pyannote[3172].speaker SPEAKER_17
transcript.pyannote[3172].start 32479.39409375
transcript.pyannote[3172].end 32487.81471875
transcript.pyannote[3173].speaker SPEAKER_23
transcript.pyannote[3173].start 32481.73971875
transcript.pyannote[3173].end 32481.87471875
transcript.pyannote[3174].speaker SPEAKER_16
transcript.pyannote[3174].start 32481.87471875
transcript.pyannote[3174].end 32481.97596875
transcript.pyannote[3175].speaker SPEAKER_00
transcript.pyannote[3175].start 32481.97596875
transcript.pyannote[3175].end 32482.06034375
transcript.pyannote[3176].speaker SPEAKER_23
transcript.pyannote[3176].start 32482.66784375
transcript.pyannote[3176].end 32483.05596875
transcript.pyannote[3177].speaker SPEAKER_17
transcript.pyannote[3177].start 32488.00034375
transcript.pyannote[3177].end 32493.38346875
transcript.pyannote[3178].speaker SPEAKER_00
transcript.pyannote[3178].start 32488.06784375
transcript.pyannote[3178].end 32488.52346875
transcript.pyannote[3179].speaker SPEAKER_17
transcript.pyannote[3179].start 32493.65346875
transcript.pyannote[3179].end 32502.47909375
transcript.pyannote[3180].speaker SPEAKER_23
transcript.pyannote[3180].start 32495.67846875
transcript.pyannote[3180].end 32496.06659375
transcript.pyannote[3181].speaker SPEAKER_23
transcript.pyannote[3181].start 32502.47909375
transcript.pyannote[3181].end 32524.66971875
transcript.pyannote[3182].speaker SPEAKER_17
transcript.pyannote[3182].start 32505.56721875
transcript.pyannote[3182].end 32506.07346875
transcript.pyannote[3183].speaker SPEAKER_23
transcript.pyannote[3183].start 32524.92284375
transcript.pyannote[3183].end 32542.11846875
transcript.pyannote[3184].speaker SPEAKER_06
transcript.pyannote[3184].start 32537.86596875
transcript.pyannote[3184].end 32537.88284375
transcript.pyannote[3185].speaker SPEAKER_07
transcript.pyannote[3185].start 32537.88284375
transcript.pyannote[3185].end 32538.86159375
transcript.pyannote[3186].speaker SPEAKER_06
transcript.pyannote[3186].start 32538.86159375
transcript.pyannote[3186].end 32538.89534375
transcript.pyannote[3187].speaker SPEAKER_07
transcript.pyannote[3187].start 32542.40534375
transcript.pyannote[3187].end 32546.91096875
transcript.pyannote[3188].speaker SPEAKER_23
transcript.pyannote[3188].start 32546.91096875
transcript.pyannote[3188].end 32547.02909375
transcript.pyannote[3189].speaker SPEAKER_16
transcript.pyannote[3189].start 32547.02909375
transcript.pyannote[3189].end 32547.33284375
transcript.pyannote[3190].speaker SPEAKER_07
transcript.pyannote[3190].start 32547.33284375
transcript.pyannote[3190].end 32552.80034375
transcript.pyannote[3191].speaker SPEAKER_07
transcript.pyannote[3191].start 32553.18846875
transcript.pyannote[3191].end 32553.52596875
transcript.pyannote[3192].speaker SPEAKER_07
transcript.pyannote[3192].start 32553.77909375
transcript.pyannote[3192].end 32557.17096875
transcript.pyannote[3193].speaker SPEAKER_07
transcript.pyannote[3193].start 32557.45784375
transcript.pyannote[3193].end 32561.03534375
transcript.pyannote[3194].speaker SPEAKER_07
transcript.pyannote[3194].start 32561.35596875
transcript.pyannote[3194].end 32563.81971875
transcript.pyannote[3195].speaker SPEAKER_07
transcript.pyannote[3195].start 32564.08971875
transcript.pyannote[3195].end 32568.73034375
transcript.pyannote[3196].speaker SPEAKER_07
transcript.pyannote[3196].start 32568.91596875
transcript.pyannote[3196].end 32573.15159375
transcript.pyannote[3197].speaker SPEAKER_23
transcript.pyannote[3197].start 32572.40909375
transcript.pyannote[3197].end 32626.24034375
transcript.pyannote[3198].speaker SPEAKER_07
transcript.pyannote[3198].start 32577.77534375
transcript.pyannote[3198].end 32578.50096875
transcript.pyannote[3199].speaker SPEAKER_00
transcript.pyannote[3199].start 32593.24971875
transcript.pyannote[3199].end 32593.36784375
transcript.pyannote[3200].speaker SPEAKER_00
transcript.pyannote[3200].start 32593.38471875
transcript.pyannote[3200].end 32593.45221875
transcript.pyannote[3201].speaker SPEAKER_23
transcript.pyannote[3201].start 32626.39221875
transcript.pyannote[3201].end 32638.08659375
transcript.pyannote[3202].speaker SPEAKER_23
transcript.pyannote[3202].start 32638.39034375
transcript.pyannote[3202].end 32677.92846875
transcript.pyannote[3203].speaker SPEAKER_23
transcript.pyannote[3203].start 32682.97409375
transcript.pyannote[3203].end 32684.61096875
transcript.pyannote[3204].speaker SPEAKER_25
transcript.pyannote[3204].start 32686.60221875
transcript.pyannote[3204].end 32688.03659375
transcript.pyannote[3205].speaker SPEAKER_17
transcript.pyannote[3205].start 32688.03659375
transcript.pyannote[3205].end 32696.03534375
transcript.pyannote[3206].speaker SPEAKER_23
transcript.pyannote[3206].start 32696.77784375
transcript.pyannote[3206].end 32696.84534375
transcript.pyannote[3207].speaker SPEAKER_23
transcript.pyannote[3207].start 32697.06471875
transcript.pyannote[3207].end 32697.79034375
transcript.pyannote[3208].speaker SPEAKER_03
transcript.pyannote[3208].start 32701.35096875
transcript.pyannote[3208].end 32708.65784375
transcript.pyannote[3209].speaker SPEAKER_05
transcript.pyannote[3209].start 32728.31721875
transcript.pyannote[3209].end 32731.16909375
transcript.pyannote[3210].speaker SPEAKER_03
transcript.pyannote[3210].start 32731.16909375
transcript.pyannote[3210].end 32731.75971875
transcript.pyannote[3211].speaker SPEAKER_05
transcript.pyannote[3211].start 32731.75971875
transcript.pyannote[3211].end 32731.96221875
transcript.pyannote[3212].speaker SPEAKER_03
transcript.pyannote[3212].start 32731.96221875
transcript.pyannote[3212].end 32731.99596875
transcript.pyannote[3213].speaker SPEAKER_05
transcript.pyannote[3213].start 32731.99596875
transcript.pyannote[3213].end 32732.19846875
transcript.pyannote[3214].speaker SPEAKER_05
transcript.pyannote[3214].start 32740.95659375
transcript.pyannote[3214].end 32740.97346875
transcript.pyannote[3215].speaker SPEAKER_17
transcript.pyannote[3215].start 32740.97346875
transcript.pyannote[3215].end 32741.51346875
transcript.pyannote[3216].speaker SPEAKER_05
transcript.pyannote[3216].start 32741.51346875
transcript.pyannote[3216].end 32741.53034375
transcript.pyannote[3217].speaker SPEAKER_05
transcript.pyannote[3217].start 32742.03659375
transcript.pyannote[3217].end 32758.79346875
transcript.pyannote[3218].speaker SPEAKER_16
transcript.pyannote[3218].start 32750.20409375
transcript.pyannote[3218].end 32750.22096875
transcript.pyannote[3219].speaker SPEAKER_25
transcript.pyannote[3219].start 32750.22096875
transcript.pyannote[3219].end 32750.47409375
transcript.pyannote[3220].speaker SPEAKER_05
transcript.pyannote[3220].start 32758.97909375
transcript.pyannote[3220].end 32759.65409375
transcript.pyannote[3221].speaker SPEAKER_05
transcript.pyannote[3221].start 32759.82284375
transcript.pyannote[3221].end 32765.42534375
transcript.pyannote[3222].speaker SPEAKER_05
transcript.pyannote[3222].start 32765.81346875
transcript.pyannote[3222].end 32772.14159375
transcript.pyannote[3223].speaker SPEAKER_05
transcript.pyannote[3223].start 32772.52971875
transcript.pyannote[3223].end 32788.05471875
transcript.pyannote[3224].speaker SPEAKER_05
transcript.pyannote[3224].start 32788.13909375
transcript.pyannote[3224].end 32798.44971875
transcript.pyannote[3225].speaker SPEAKER_05
transcript.pyannote[3225].start 32798.75346875
transcript.pyannote[3225].end 32809.46909375
transcript.pyannote[3226].speaker SPEAKER_05
transcript.pyannote[3226].start 32809.87409375
transcript.pyannote[3226].end 32811.57846875
transcript.pyannote[3227].speaker SPEAKER_05
transcript.pyannote[3227].start 32811.78096875
transcript.pyannote[3227].end 32818.21034375
transcript.pyannote[3228].speaker SPEAKER_05
transcript.pyannote[3228].start 32818.42971875
transcript.pyannote[3228].end 32829.56721875
transcript.pyannote[3229].speaker SPEAKER_17
transcript.pyannote[3229].start 32829.98909375
transcript.pyannote[3229].end 32835.38909375
transcript.pyannote[3230].speaker SPEAKER_17
transcript.pyannote[3230].start 32835.72659375
transcript.pyannote[3230].end 32836.30034375
transcript.pyannote[3231].speaker SPEAKER_17
transcript.pyannote[3231].start 32836.58721875
transcript.pyannote[3231].end 32838.22409375
transcript.pyannote[3232].speaker SPEAKER_17
transcript.pyannote[3232].start 32838.57846875
transcript.pyannote[3232].end 32842.57784375
transcript.pyannote[3233].speaker SPEAKER_17
transcript.pyannote[3233].start 32842.89846875
transcript.pyannote[3233].end 32844.65346875
transcript.pyannote[3234].speaker SPEAKER_17
transcript.pyannote[3234].start 32844.90659375
transcript.pyannote[3234].end 32847.64034375
transcript.pyannote[3235].speaker SPEAKER_17
transcript.pyannote[3235].start 32847.84284375
transcript.pyannote[3235].end 32850.39096875
transcript.pyannote[3236].speaker SPEAKER_17
transcript.pyannote[3236].start 32850.71159375
transcript.pyannote[3236].end 32853.20909375
transcript.pyannote[3237].speaker SPEAKER_17
transcript.pyannote[3237].start 32853.51284375
transcript.pyannote[3237].end 32855.38596875
transcript.pyannote[3238].speaker SPEAKER_17
transcript.pyannote[3238].start 32855.53784375
transcript.pyannote[3238].end 32861.19096875
transcript.pyannote[3239].speaker SPEAKER_17
transcript.pyannote[3239].start 32861.29221875
transcript.pyannote[3239].end 32863.40159375
transcript.pyannote[3240].speaker SPEAKER_17
transcript.pyannote[3240].start 32864.14409375
transcript.pyannote[3240].end 32866.23659375
transcript.pyannote[3241].speaker SPEAKER_17
transcript.pyannote[3241].start 32866.47284375
transcript.pyannote[3241].end 32873.86409375
transcript.pyannote[3242].speaker SPEAKER_05
transcript.pyannote[3242].start 32871.58596875
transcript.pyannote[3242].end 32872.12596875
transcript.pyannote[3243].speaker SPEAKER_05
transcript.pyannote[3243].start 32872.14284375
transcript.pyannote[3243].end 32872.19346875
transcript.pyannote[3244].speaker SPEAKER_05
transcript.pyannote[3244].start 32872.27784375
transcript.pyannote[3244].end 32872.32846875
transcript.pyannote[3245].speaker SPEAKER_05
transcript.pyannote[3245].start 32874.15096875
transcript.pyannote[3245].end 32892.12284375
transcript.pyannote[3246].speaker SPEAKER_17
transcript.pyannote[3246].start 32888.19096875
transcript.pyannote[3246].end 32888.22471875
transcript.pyannote[3247].speaker SPEAKER_25
transcript.pyannote[3247].start 32888.22471875
transcript.pyannote[3247].end 32888.25846875
transcript.pyannote[3248].speaker SPEAKER_17
transcript.pyannote[3248].start 32888.25846875
transcript.pyannote[3248].end 32888.51159375
transcript.pyannote[3249].speaker SPEAKER_25
transcript.pyannote[3249].start 32888.51159375
transcript.pyannote[3249].end 32888.56221875
transcript.pyannote[3250].speaker SPEAKER_05
transcript.pyannote[3250].start 32892.98346875
transcript.pyannote[3250].end 32893.00034375
transcript.pyannote[3251].speaker SPEAKER_17
transcript.pyannote[3251].start 32893.00034375
transcript.pyannote[3251].end 32893.15221875
transcript.pyannote[3252].speaker SPEAKER_17
transcript.pyannote[3252].start 32893.99596875
transcript.pyannote[3252].end 32896.51034375
transcript.pyannote[3253].speaker SPEAKER_17
transcript.pyannote[3253].start 32896.62846875
transcript.pyannote[3253].end 32896.69596875
transcript.pyannote[3254].speaker SPEAKER_07
transcript.pyannote[3254].start 32896.69596875
transcript.pyannote[3254].end 32896.78034375
transcript.pyannote[3255].speaker SPEAKER_17
transcript.pyannote[3255].start 32896.78034375
transcript.pyannote[3255].end 32896.96596875
transcript.pyannote[3256].speaker SPEAKER_07
transcript.pyannote[3256].start 32897.32034375
transcript.pyannote[3256].end 32898.48471875
transcript.pyannote[3257].speaker SPEAKER_07
transcript.pyannote[3257].start 32899.24409375
transcript.pyannote[3257].end 32902.85534375
transcript.pyannote[3258].speaker SPEAKER_07
transcript.pyannote[3258].start 32903.22659375
transcript.pyannote[3258].end 32904.50909375
transcript.pyannote[3259].speaker SPEAKER_07
transcript.pyannote[3259].start 32904.84659375
transcript.pyannote[3259].end 32910.63471875
transcript.pyannote[3260].speaker SPEAKER_07
transcript.pyannote[3260].start 32910.98909375
transcript.pyannote[3260].end 32915.78159375
transcript.pyannote[3261].speaker SPEAKER_07
transcript.pyannote[3261].start 32916.40596875
transcript.pyannote[3261].end 32919.59534375
transcript.pyannote[3262].speaker SPEAKER_07
transcript.pyannote[3262].start 32919.81471875
transcript.pyannote[3262].end 32923.96596875
transcript.pyannote[3263].speaker SPEAKER_07
transcript.pyannote[3263].start 32924.08409375
transcript.pyannote[3263].end 32927.98221875
transcript.pyannote[3264].speaker SPEAKER_05
transcript.pyannote[3264].start 32928.10034375
transcript.pyannote[3264].end 32929.01159375
transcript.pyannote[3265].speaker SPEAKER_05
transcript.pyannote[3265].start 32929.41659375
transcript.pyannote[3265].end 32935.22159375
transcript.pyannote[3266].speaker SPEAKER_05
transcript.pyannote[3266].start 32935.57596875
transcript.pyannote[3266].end 32965.20846875
transcript.pyannote[3267].speaker SPEAKER_07
transcript.pyannote[3267].start 32935.72784375
transcript.pyannote[3267].end 32936.18346875
transcript.pyannote[3268].speaker SPEAKER_00
transcript.pyannote[3268].start 32951.23596875
transcript.pyannote[3268].end 32951.55659375
transcript.pyannote[3269].speaker SPEAKER_17
transcript.pyannote[3269].start 32965.76534375
transcript.pyannote[3269].end 32971.11471875
transcript.pyannote[3270].speaker SPEAKER_17
transcript.pyannote[3270].start 32971.51971875
transcript.pyannote[3270].end 32980.39596875
transcript.pyannote[3271].speaker SPEAKER_17
transcript.pyannote[3271].start 32980.64909375
transcript.pyannote[3271].end 32985.61034375
transcript.pyannote[3272].speaker SPEAKER_07
transcript.pyannote[3272].start 32986.33596875
transcript.pyannote[3272].end 32986.35284375
transcript.pyannote[3273].speaker SPEAKER_17
transcript.pyannote[3273].start 32986.35284375
transcript.pyannote[3273].end 32986.92659375
transcript.pyannote[3274].speaker SPEAKER_07
transcript.pyannote[3274].start 32987.12909375
transcript.pyannote[3274].end 32991.09471875
transcript.pyannote[3275].speaker SPEAKER_17
transcript.pyannote[3275].start 32987.16284375
transcript.pyannote[3275].end 32988.25971875
transcript.pyannote[3276].speaker SPEAKER_17
transcript.pyannote[3276].start 32989.81221875
transcript.pyannote[3276].end 32989.86284375
transcript.pyannote[3277].speaker SPEAKER_17
transcript.pyannote[3277].start 32990.08221875
transcript.pyannote[3277].end 32990.18346875
transcript.pyannote[3278].speaker SPEAKER_07
transcript.pyannote[3278].start 32991.43221875
transcript.pyannote[3278].end 32993.20409375
transcript.pyannote[3279].speaker SPEAKER_07
transcript.pyannote[3279].start 32993.60909375
transcript.pyannote[3279].end 32997.00096875
transcript.pyannote[3280].speaker SPEAKER_07
transcript.pyannote[3280].start 32997.47346875
transcript.pyannote[3280].end 33000.74721875
transcript.pyannote[3281].speaker SPEAKER_07
transcript.pyannote[3281].start 33001.11846875
transcript.pyannote[3281].end 33004.71284375
transcript.pyannote[3282].speaker SPEAKER_07
transcript.pyannote[3282].start 33005.16846875
transcript.pyannote[3282].end 33007.90221875
transcript.pyannote[3283].speaker SPEAKER_07
transcript.pyannote[3283].start 33008.20596875
transcript.pyannote[3283].end 33009.18471875
transcript.pyannote[3284].speaker SPEAKER_07
transcript.pyannote[3284].start 33009.25221875
transcript.pyannote[3284].end 33011.34471875
transcript.pyannote[3285].speaker SPEAKER_07
transcript.pyannote[3285].start 33011.66534375
transcript.pyannote[3285].end 33013.97721875
transcript.pyannote[3286].speaker SPEAKER_07
transcript.pyannote[3286].start 33014.48346875
transcript.pyannote[3286].end 33016.17096875
transcript.pyannote[3287].speaker SPEAKER_07
transcript.pyannote[3287].start 33016.39034375
transcript.pyannote[3287].end 33017.95971875
transcript.pyannote[3288].speaker SPEAKER_07
transcript.pyannote[3288].start 33018.22971875
transcript.pyannote[3288].end 33022.09409375
transcript.pyannote[3289].speaker SPEAKER_07
transcript.pyannote[3289].start 33022.71846875
transcript.pyannote[3289].end 33027.30846875
transcript.pyannote[3290].speaker SPEAKER_07
transcript.pyannote[3290].start 33027.66284375
transcript.pyannote[3290].end 33029.78909375
transcript.pyannote[3291].speaker SPEAKER_07
transcript.pyannote[3291].start 33030.14346875
transcript.pyannote[3291].end 33032.87721875
transcript.pyannote[3292].speaker SPEAKER_07
transcript.pyannote[3292].start 33033.18096875
transcript.pyannote[3292].end 33036.28596875
transcript.pyannote[3293].speaker SPEAKER_05
transcript.pyannote[3293].start 33036.42096875
transcript.pyannote[3293].end 33068.04471875
transcript.pyannote[3294].speaker SPEAKER_05
transcript.pyannote[3294].start 33068.65221875
transcript.pyannote[3294].end 33087.77159375
transcript.pyannote[3295].speaker SPEAKER_25
transcript.pyannote[3295].start 33087.77159375
transcript.pyannote[3295].end 33088.29471875
transcript.pyannote[3296].speaker SPEAKER_05
transcript.pyannote[3296].start 33088.58159375
transcript.pyannote[3296].end 33104.83221875
transcript.pyannote[3297].speaker SPEAKER_05
transcript.pyannote[3297].start 33105.27096875
transcript.pyannote[3297].end 33115.83471875
transcript.pyannote[3298].speaker SPEAKER_05
transcript.pyannote[3298].start 33115.86846875
transcript.pyannote[3298].end 33117.11721875
transcript.pyannote[3299].speaker SPEAKER_05
transcript.pyannote[3299].start 33117.43784375
transcript.pyannote[3299].end 33121.09971875
transcript.pyannote[3300].speaker SPEAKER_05
transcript.pyannote[3300].start 33121.31909375
transcript.pyannote[3300].end 33123.79971875
transcript.pyannote[3301].speaker SPEAKER_05
transcript.pyannote[3301].start 33124.08659375
transcript.pyannote[3301].end 33125.99346875
transcript.pyannote[3302].speaker SPEAKER_05
transcript.pyannote[3302].start 33126.17909375
transcript.pyannote[3302].end 33128.22096875
transcript.pyannote[3303].speaker SPEAKER_05
transcript.pyannote[3303].start 33128.37284375
transcript.pyannote[3303].end 33129.55409375
transcript.pyannote[3304].speaker SPEAKER_07
transcript.pyannote[3304].start 33129.90846875
transcript.pyannote[3304].end 33131.41034375
transcript.pyannote[3305].speaker SPEAKER_05
transcript.pyannote[3305].start 33131.41034375
transcript.pyannote[3305].end 33131.96721875
transcript.pyannote[3306].speaker SPEAKER_07
transcript.pyannote[3306].start 33131.96721875
transcript.pyannote[3306].end 33132.72659375
transcript.pyannote[3307].speaker SPEAKER_07
transcript.pyannote[3307].start 33133.09784375
transcript.pyannote[3307].end 33145.19721875
transcript.pyannote[3308].speaker SPEAKER_07
transcript.pyannote[3308].start 33145.50096875
transcript.pyannote[3308].end 33146.27721875
transcript.pyannote[3309].speaker SPEAKER_07
transcript.pyannote[3309].start 33146.54721875
transcript.pyannote[3309].end 33147.66096875
transcript.pyannote[3310].speaker SPEAKER_07
transcript.pyannote[3310].start 33148.26846875
transcript.pyannote[3310].end 33151.25534375
transcript.pyannote[3311].speaker SPEAKER_07
transcript.pyannote[3311].start 33151.67721875
transcript.pyannote[3311].end 33155.11971875
transcript.pyannote[3312].speaker SPEAKER_07
transcript.pyannote[3312].start 33155.47409375
transcript.pyannote[3312].end 33158.08971875
transcript.pyannote[3313].speaker SPEAKER_07
transcript.pyannote[3313].start 33158.39346875
transcript.pyannote[3313].end 33160.87409375
transcript.pyannote[3314].speaker SPEAKER_07
transcript.pyannote[3314].start 33161.21159375
transcript.pyannote[3314].end 33165.00846875
transcript.pyannote[3315].speaker SPEAKER_07
transcript.pyannote[3315].start 33165.27846875
transcript.pyannote[3315].end 33168.06284375
transcript.pyannote[3316].speaker SPEAKER_07
transcript.pyannote[3316].start 33168.36659375
transcript.pyannote[3316].end 33172.53471875
transcript.pyannote[3317].speaker SPEAKER_05
transcript.pyannote[3317].start 33168.68721875
transcript.pyannote[3317].end 33170.02034375
transcript.pyannote[3318].speaker SPEAKER_05
transcript.pyannote[3318].start 33171.03284375
transcript.pyannote[3318].end 33183.52034375
transcript.pyannote[3319].speaker SPEAKER_05
transcript.pyannote[3319].start 33183.67221875
transcript.pyannote[3319].end 33186.96284375
transcript.pyannote[3320].speaker SPEAKER_07
transcript.pyannote[3320].start 33187.94159375
transcript.pyannote[3320].end 33189.73034375
transcript.pyannote[3321].speaker SPEAKER_07
transcript.pyannote[3321].start 33190.06784375
transcript.pyannote[3321].end 33190.55721875
transcript.pyannote[3322].speaker SPEAKER_07
transcript.pyannote[3322].start 33190.67534375
transcript.pyannote[3322].end 33191.80596875
transcript.pyannote[3323].speaker SPEAKER_07
transcript.pyannote[3323].start 33192.26159375
transcript.pyannote[3323].end 33195.90659375
transcript.pyannote[3324].speaker SPEAKER_07
transcript.pyannote[3324].start 33196.34534375
transcript.pyannote[3324].end 33198.75846875
transcript.pyannote[3325].speaker SPEAKER_07
transcript.pyannote[3325].start 33199.11284375
transcript.pyannote[3325].end 33200.88471875
transcript.pyannote[3326].speaker SPEAKER_07
transcript.pyannote[3326].start 33201.25596875
transcript.pyannote[3326].end 33202.57221875
transcript.pyannote[3327].speaker SPEAKER_07
transcript.pyannote[3327].start 33202.84221875
transcript.pyannote[3327].end 33203.77034375
transcript.pyannote[3328].speaker SPEAKER_07
transcript.pyannote[3328].start 33204.04034375
transcript.pyannote[3328].end 33206.25096875
transcript.pyannote[3329].speaker SPEAKER_07
transcript.pyannote[3329].start 33206.53784375
transcript.pyannote[3329].end 33208.30971875
transcript.pyannote[3330].speaker SPEAKER_07
transcript.pyannote[3330].start 33208.78221875
transcript.pyannote[3330].end 33209.54159375
transcript.pyannote[3331].speaker SPEAKER_07
transcript.pyannote[3331].start 33209.84534375
transcript.pyannote[3331].end 33212.74784375
transcript.pyannote[3332].speaker SPEAKER_07
transcript.pyannote[3332].start 33213.45659375
transcript.pyannote[3332].end 33214.30034375
transcript.pyannote[3333].speaker SPEAKER_07
transcript.pyannote[3333].start 33214.51971875
transcript.pyannote[3333].end 33218.56971875
transcript.pyannote[3334].speaker SPEAKER_05
transcript.pyannote[3334].start 33218.14784375
transcript.pyannote[3334].end 33224.10471875
transcript.pyannote[3335].speaker SPEAKER_07
transcript.pyannote[3335].start 33220.22346875
transcript.pyannote[3335].end 33220.42596875
transcript.pyannote[3336].speaker SPEAKER_07
transcript.pyannote[3336].start 33220.57784375
transcript.pyannote[3336].end 33221.67471875
transcript.pyannote[3337].speaker SPEAKER_07
transcript.pyannote[3337].start 33223.07534375
transcript.pyannote[3337].end 33229.55534375
transcript.pyannote[3338].speaker SPEAKER_05
transcript.pyannote[3338].start 33227.20971875
transcript.pyannote[3338].end 33236.64284375
transcript.pyannote[3339].speaker SPEAKER_07
transcript.pyannote[3339].start 33229.79159375
transcript.pyannote[3339].end 33229.92659375
transcript.pyannote[3340].speaker SPEAKER_07
transcript.pyannote[3340].start 33234.58409375
transcript.pyannote[3340].end 33235.34346875
transcript.pyannote[3341].speaker SPEAKER_05
transcript.pyannote[3341].start 33237.01409375
transcript.pyannote[3341].end 33240.13596875
transcript.pyannote[3342].speaker SPEAKER_07
transcript.pyannote[3342].start 33239.98409375
transcript.pyannote[3342].end 33243.03846875
transcript.pyannote[3343].speaker SPEAKER_05
transcript.pyannote[3343].start 33241.38471875
transcript.pyannote[3343].end 33247.86471875
transcript.pyannote[3344].speaker SPEAKER_05
transcript.pyannote[3344].start 33248.16846875
transcript.pyannote[3344].end 33248.42159375
transcript.pyannote[3345].speaker SPEAKER_05
transcript.pyannote[3345].start 33248.55659375
transcript.pyannote[3345].end 33250.96971875
transcript.pyannote[3346].speaker SPEAKER_05
transcript.pyannote[3346].start 33251.25659375
transcript.pyannote[3346].end 33251.37471875
transcript.pyannote[3347].speaker SPEAKER_07
transcript.pyannote[3347].start 33251.37471875
transcript.pyannote[3347].end 33255.35721875
transcript.pyannote[3348].speaker SPEAKER_05
transcript.pyannote[3348].start 33254.90159375
transcript.pyannote[3348].end 33256.48784375
transcript.pyannote[3349].speaker SPEAKER_07
transcript.pyannote[3349].start 33256.03221875
transcript.pyannote[3349].end 33258.12471875
transcript.pyannote[3350].speaker SPEAKER_05
transcript.pyannote[3350].start 33259.03596875
transcript.pyannote[3350].end 33259.47471875
transcript.pyannote[3351].speaker SPEAKER_05
transcript.pyannote[3351].start 33259.93034375
transcript.pyannote[3351].end 33262.32659375
transcript.pyannote[3352].speaker SPEAKER_05
transcript.pyannote[3352].start 33263.03534375
transcript.pyannote[3352].end 33269.19471875
transcript.pyannote[3353].speaker SPEAKER_05
transcript.pyannote[3353].start 33269.22846875
transcript.pyannote[3353].end 33273.88596875
transcript.pyannote[3354].speaker SPEAKER_05
transcript.pyannote[3354].start 33273.93659375
transcript.pyannote[3354].end 33277.49721875
transcript.pyannote[3355].speaker SPEAKER_05
transcript.pyannote[3355].start 33277.64909375
transcript.pyannote[3355].end 33280.04534375
transcript.pyannote[3356].speaker SPEAKER_05
transcript.pyannote[3356].start 33280.34909375
transcript.pyannote[3356].end 33289.96784375
transcript.pyannote[3357].speaker SPEAKER_07
transcript.pyannote[3357].start 33290.44034375
transcript.pyannote[3357].end 33291.75659375
transcript.pyannote[3358].speaker SPEAKER_07
transcript.pyannote[3358].start 33292.26284375
transcript.pyannote[3358].end 33298.23659375
transcript.pyannote[3359].speaker SPEAKER_07
transcript.pyannote[3359].start 33298.59096875
transcript.pyannote[3359].end 33300.56534375
transcript.pyannote[3360].speaker SPEAKER_07
transcript.pyannote[3360].start 33300.78471875
transcript.pyannote[3360].end 33303.21471875
transcript.pyannote[3361].speaker SPEAKER_07
transcript.pyannote[3361].start 33303.87284375
transcript.pyannote[3361].end 33304.81784375
transcript.pyannote[3362].speaker SPEAKER_05
transcript.pyannote[3362].start 33303.90659375
transcript.pyannote[3362].end 33306.26909375
transcript.pyannote[3363].speaker SPEAKER_07
transcript.pyannote[3363].start 33306.31971875
transcript.pyannote[3363].end 33309.66096875
transcript.pyannote[3364].speaker SPEAKER_07
transcript.pyannote[3364].start 33309.84659375
transcript.pyannote[3364].end 33312.32721875
transcript.pyannote[3365].speaker SPEAKER_07
transcript.pyannote[3365].start 33312.37784375
transcript.pyannote[3365].end 33316.02284375
transcript.pyannote[3366].speaker SPEAKER_07
transcript.pyannote[3366].start 33316.51221875
transcript.pyannote[3366].end 33319.09409375
transcript.pyannote[3367].speaker SPEAKER_07
transcript.pyannote[3367].start 33319.60034375
transcript.pyannote[3367].end 33321.23721875
transcript.pyannote[3368].speaker SPEAKER_07
transcript.pyannote[3368].start 33321.59159375
transcript.pyannote[3368].end 33323.90346875
transcript.pyannote[3369].speaker SPEAKER_07
transcript.pyannote[3369].start 33323.95409375
transcript.pyannote[3369].end 33327.00846875
transcript.pyannote[3370].speaker SPEAKER_05
transcript.pyannote[3370].start 33327.21096875
transcript.pyannote[3370].end 33332.13846875
transcript.pyannote[3371].speaker SPEAKER_05
transcript.pyannote[3371].start 33332.23971875
transcript.pyannote[3371].end 33335.10846875
transcript.pyannote[3372].speaker SPEAKER_07
transcript.pyannote[3372].start 33334.46721875
transcript.pyannote[3372].end 33335.07471875
transcript.pyannote[3373].speaker SPEAKER_07
transcript.pyannote[3373].start 33335.10846875
transcript.pyannote[3373].end 33335.17596875
transcript.pyannote[3374].speaker SPEAKER_05
transcript.pyannote[3374].start 33335.17596875
transcript.pyannote[3374].end 33335.22659375
transcript.pyannote[3375].speaker SPEAKER_05
transcript.pyannote[3375].start 33335.36159375
transcript.pyannote[3375].end 33338.65221875
transcript.pyannote[3376].speaker SPEAKER_07
transcript.pyannote[3376].start 33338.87159375
transcript.pyannote[3376].end 33347.02221875
transcript.pyannote[3377].speaker SPEAKER_07
transcript.pyannote[3377].start 33347.32596875
transcript.pyannote[3377].end 33351.96659375
transcript.pyannote[3378].speaker SPEAKER_07
transcript.pyannote[3378].start 33352.33784375
transcript.pyannote[3378].end 33353.56971875
transcript.pyannote[3379].speaker SPEAKER_05
transcript.pyannote[3379].start 33353.09721875
transcript.pyannote[3379].end 33356.50596875
transcript.pyannote[3380].speaker SPEAKER_07
transcript.pyannote[3380].start 33356.35409375
transcript.pyannote[3380].end 33360.33659375
transcript.pyannote[3381].speaker SPEAKER_07
transcript.pyannote[3381].start 33360.62346875
transcript.pyannote[3381].end 33362.22659375
transcript.pyannote[3382].speaker SPEAKER_06
transcript.pyannote[3382].start 33360.64034375
transcript.pyannote[3382].end 33360.67409375
transcript.pyannote[3383].speaker SPEAKER_05
transcript.pyannote[3383].start 33360.67409375
transcript.pyannote[3383].end 33362.68221875
transcript.pyannote[3384].speaker SPEAKER_07
transcript.pyannote[3384].start 33362.61471875
transcript.pyannote[3384].end 33363.49221875
transcript.pyannote[3385].speaker SPEAKER_06
transcript.pyannote[3385].start 33362.68221875
transcript.pyannote[3385].end 33362.69909375
transcript.pyannote[3386].speaker SPEAKER_05
transcript.pyannote[3386].start 33362.69909375
transcript.pyannote[3386].end 33362.71596875
transcript.pyannote[3387].speaker SPEAKER_07
transcript.pyannote[3387].start 33363.54284375
transcript.pyannote[3387].end 33375.33846875
transcript.pyannote[3388].speaker SPEAKER_05
transcript.pyannote[3388].start 33370.64721875
transcript.pyannote[3388].end 33371.77784375
transcript.pyannote[3389].speaker SPEAKER_07
transcript.pyannote[3389].start 33375.74346875
transcript.pyannote[3389].end 33376.97534375
transcript.pyannote[3390].speaker SPEAKER_07
transcript.pyannote[3390].start 33377.44784375
transcript.pyannote[3390].end 33379.16909375
transcript.pyannote[3391].speaker SPEAKER_07
transcript.pyannote[3391].start 33379.50659375
transcript.pyannote[3391].end 33380.67096875
transcript.pyannote[3392].speaker SPEAKER_07
transcript.pyannote[3392].start 33380.90721875
transcript.pyannote[3392].end 33381.71721875
transcript.pyannote[3393].speaker SPEAKER_07
transcript.pyannote[3393].start 33382.12221875
transcript.pyannote[3393].end 33385.29471875
transcript.pyannote[3394].speaker SPEAKER_07
transcript.pyannote[3394].start 33385.66596875
transcript.pyannote[3394].end 33387.57284375
transcript.pyannote[3395].speaker SPEAKER_07
transcript.pyannote[3395].start 33387.72471875
transcript.pyannote[3395].end 33388.97346875
transcript.pyannote[3396].speaker SPEAKER_05
transcript.pyannote[3396].start 33389.15909375
transcript.pyannote[3396].end 33392.44971875
transcript.pyannote[3397].speaker SPEAKER_07
transcript.pyannote[3397].start 33392.90534375
transcript.pyannote[3397].end 33396.90471875
transcript.pyannote[3398].speaker SPEAKER_07
transcript.pyannote[3398].start 33397.37721875
transcript.pyannote[3398].end 33399.58784375
transcript.pyannote[3399].speaker SPEAKER_07
transcript.pyannote[3399].start 33400.06034375
transcript.pyannote[3399].end 33403.99221875
transcript.pyannote[3400].speaker SPEAKER_07
transcript.pyannote[3400].start 33404.29596875
transcript.pyannote[3400].end 33405.44346875
transcript.pyannote[3401].speaker SPEAKER_05
transcript.pyannote[3401].start 33406.10159375
transcript.pyannote[3401].end 33413.10471875
transcript.pyannote[3402].speaker SPEAKER_05
transcript.pyannote[3402].start 33413.29034375
transcript.pyannote[3402].end 33432.08909375
transcript.pyannote[3403].speaker SPEAKER_17
transcript.pyannote[3403].start 33432.08909375
transcript.pyannote[3403].end 33432.32534375
transcript.pyannote[3404].speaker SPEAKER_05
transcript.pyannote[3404].start 33433.13534375
transcript.pyannote[3404].end 33436.51034375
transcript.pyannote[3405].speaker SPEAKER_05
transcript.pyannote[3405].start 33437.03346875
transcript.pyannote[3405].end 33437.52284375
transcript.pyannote[3406].speaker SPEAKER_05
transcript.pyannote[3406].start 33438.14721875
transcript.pyannote[3406].end 33439.69971875
transcript.pyannote[3407].speaker SPEAKER_05
transcript.pyannote[3407].start 33439.83471875
transcript.pyannote[3407].end 33442.73721875
transcript.pyannote[3408].speaker SPEAKER_05
transcript.pyannote[3408].start 33442.92284375
transcript.pyannote[3408].end 33444.30659375
transcript.pyannote[3409].speaker SPEAKER_05
transcript.pyannote[3409].start 33444.47534375
transcript.pyannote[3409].end 33447.39471875
transcript.pyannote[3410].speaker SPEAKER_05
transcript.pyannote[3410].start 33447.68159375
transcript.pyannote[3410].end 33450.70221875
transcript.pyannote[3411].speaker SPEAKER_05
transcript.pyannote[3411].start 33451.09034375
transcript.pyannote[3411].end 33458.65034375
transcript.pyannote[3412].speaker SPEAKER_05
transcript.pyannote[3412].start 33458.78534375
transcript.pyannote[3412].end 33496.55159375
transcript.pyannote[3413].speaker SPEAKER_17
transcript.pyannote[3413].start 33497.49659375
transcript.pyannote[3413].end 33498.98159375
transcript.pyannote[3414].speaker SPEAKER_07
transcript.pyannote[3414].start 33499.15034375
transcript.pyannote[3414].end 33501.17534375
transcript.pyannote[3415].speaker SPEAKER_07
transcript.pyannote[3415].start 33501.36096875
transcript.pyannote[3415].end 33504.46596875
transcript.pyannote[3416].speaker SPEAKER_07
transcript.pyannote[3416].start 33504.78659375
transcript.pyannote[3416].end 33506.47409375
transcript.pyannote[3417].speaker SPEAKER_07
transcript.pyannote[3417].start 33506.81159375
transcript.pyannote[3417].end 33511.72221875
transcript.pyannote[3418].speaker SPEAKER_07
transcript.pyannote[3418].start 33511.85721875
transcript.pyannote[3418].end 33515.68784375
transcript.pyannote[3419].speaker SPEAKER_05
transcript.pyannote[3419].start 33514.75971875
transcript.pyannote[3419].end 33524.56409375
transcript.pyannote[3420].speaker SPEAKER_07
transcript.pyannote[3420].start 33523.65284375
transcript.pyannote[3420].end 33524.17596875
transcript.pyannote[3421].speaker SPEAKER_07
transcript.pyannote[3421].start 33524.42909375
transcript.pyannote[3421].end 33524.47971875
transcript.pyannote[3422].speaker SPEAKER_07
transcript.pyannote[3422].start 33524.49659375
transcript.pyannote[3422].end 33532.98471875
transcript.pyannote[3423].speaker SPEAKER_05
transcript.pyannote[3423].start 33531.70221875
transcript.pyannote[3423].end 33533.89596875
transcript.pyannote[3424].speaker SPEAKER_07
transcript.pyannote[3424].start 33533.89596875
transcript.pyannote[3424].end 33534.03096875
transcript.pyannote[3425].speaker SPEAKER_05
transcript.pyannote[3425].start 33534.03096875
transcript.pyannote[3425].end 33538.06409375
transcript.pyannote[3426].speaker SPEAKER_07
transcript.pyannote[3426].start 33534.85784375
transcript.pyannote[3426].end 33535.24596875
transcript.pyannote[3427].speaker SPEAKER_07
transcript.pyannote[3427].start 33537.62534375
transcript.pyannote[3427].end 33541.65846875
transcript.pyannote[3428].speaker SPEAKER_05
transcript.pyannote[3428].start 33539.88659375
transcript.pyannote[3428].end 33541.08471875
transcript.pyannote[3429].speaker SPEAKER_05
transcript.pyannote[3429].start 33541.65846875
transcript.pyannote[3429].end 33542.11409375
transcript.pyannote[3430].speaker SPEAKER_05
transcript.pyannote[3430].start 33543.02534375
transcript.pyannote[3430].end 33546.45096875
transcript.pyannote[3431].speaker SPEAKER_05
transcript.pyannote[3431].start 33546.78846875
transcript.pyannote[3431].end 33552.89721875
transcript.pyannote[3432].speaker SPEAKER_05
transcript.pyannote[3432].start 33553.06596875
transcript.pyannote[3432].end 33581.41596875
transcript.pyannote[3433].speaker SPEAKER_05
transcript.pyannote[3433].start 33581.58471875
transcript.pyannote[3433].end 33585.16221875
transcript.pyannote[3434].speaker SPEAKER_05
transcript.pyannote[3434].start 33585.33096875
transcript.pyannote[3434].end 33585.85409375
transcript.pyannote[3435].speaker SPEAKER_05
transcript.pyannote[3435].start 33586.12409375
transcript.pyannote[3435].end 33588.97596875
transcript.pyannote[3436].speaker SPEAKER_05
transcript.pyannote[3436].start 33589.43159375
transcript.pyannote[3436].end 33597.32909375
transcript.pyannote[3437].speaker SPEAKER_05
transcript.pyannote[3437].start 33597.75096875
transcript.pyannote[3437].end 33622.99596875
transcript.pyannote[3438].speaker SPEAKER_05
transcript.pyannote[3438].start 33623.21534375
transcript.pyannote[3438].end 33627.68721875
transcript.pyannote[3439].speaker SPEAKER_05
transcript.pyannote[3439].start 33627.92346875
transcript.pyannote[3439].end 33634.13346875
transcript.pyannote[3440].speaker SPEAKER_05
transcript.pyannote[3440].start 33634.31909375
transcript.pyannote[3440].end 33636.46221875
transcript.pyannote[3441].speaker SPEAKER_05
transcript.pyannote[3441].start 33637.39034375
transcript.pyannote[3441].end 33638.57159375
transcript.pyannote[3442].speaker SPEAKER_05
transcript.pyannote[3442].start 33639.12846875
transcript.pyannote[3442].end 33640.90034375
transcript.pyannote[3443].speaker SPEAKER_05
transcript.pyannote[3443].start 33640.93409375
transcript.pyannote[3443].end 33647.41409375
transcript.pyannote[3444].speaker SPEAKER_16
transcript.pyannote[3444].start 33648.15659375
transcript.pyannote[3444].end 33648.44346875
transcript.pyannote[3445].speaker SPEAKER_05
transcript.pyannote[3445].start 33669.67221875
transcript.pyannote[3445].end 33669.68909375
transcript.pyannote[3446].speaker SPEAKER_05
transcript.pyannote[3446].start 33669.70596875
transcript.pyannote[3446].end 33669.75659375
transcript.pyannote[3447].speaker SPEAKER_05
transcript.pyannote[3447].start 33669.77346875
transcript.pyannote[3447].end 33679.03784375
transcript.pyannote[3448].speaker SPEAKER_03
transcript.pyannote[3448].start 33683.83034375
transcript.pyannote[3448].end 33684.16784375
transcript.pyannote[3449].speaker SPEAKER_03
transcript.pyannote[3449].start 33687.05346875
transcript.pyannote[3449].end 33688.60596875
transcript.pyannote[3450].speaker SPEAKER_03
transcript.pyannote[3450].start 33689.06159375
transcript.pyannote[3450].end 33689.87159375
transcript.pyannote[3451].speaker SPEAKER_03
transcript.pyannote[3451].start 33690.04034375
transcript.pyannote[3451].end 33692.82471875
transcript.pyannote[3452].speaker SPEAKER_03
transcript.pyannote[3452].start 33692.95971875
transcript.pyannote[3452].end 33692.99346875
transcript.pyannote[3453].speaker SPEAKER_03
transcript.pyannote[3453].start 33694.73159375
transcript.pyannote[3453].end 33698.19096875
transcript.pyannote[3454].speaker SPEAKER_24
transcript.pyannote[3454].start 33717.95159375
transcript.pyannote[3454].end 33719.03159375
transcript.pyannote[3455].speaker SPEAKER_24
transcript.pyannote[3455].start 33719.06534375
transcript.pyannote[3455].end 33720.90471875
transcript.pyannote[3456].speaker SPEAKER_24
transcript.pyannote[3456].start 33721.20846875
transcript.pyannote[3456].end 33723.77346875
transcript.pyannote[3457].speaker SPEAKER_24
transcript.pyannote[3457].start 33724.12784375
transcript.pyannote[3457].end 33730.13534375
transcript.pyannote[3458].speaker SPEAKER_24
transcript.pyannote[3458].start 33730.65846875
transcript.pyannote[3458].end 33731.02971875
transcript.pyannote[3459].speaker SPEAKER_03
transcript.pyannote[3459].start 33731.23221875
transcript.pyannote[3459].end 33731.24909375
transcript.pyannote[3460].speaker SPEAKER_24
transcript.pyannote[3460].start 33731.24909375
transcript.pyannote[3460].end 33732.93659375
transcript.pyannote[3461].speaker SPEAKER_03
transcript.pyannote[3461].start 33732.93659375
transcript.pyannote[3461].end 33733.05471875
transcript.pyannote[3462].speaker SPEAKER_03
transcript.pyannote[3462].start 33733.29096875
transcript.pyannote[3462].end 33734.52284375
transcript.pyannote[3463].speaker SPEAKER_15
transcript.pyannote[3463].start 33742.75784375
transcript.pyannote[3463].end 33743.29784375
transcript.pyannote[3464].speaker SPEAKER_15
transcript.pyannote[3464].start 33743.92221875
transcript.pyannote[3464].end 33743.93909375
transcript.pyannote[3465].speaker SPEAKER_24
transcript.pyannote[3465].start 33743.93909375
transcript.pyannote[3465].end 33744.85034375
transcript.pyannote[3466].speaker SPEAKER_15
transcript.pyannote[3466].start 33744.12471875
transcript.pyannote[3466].end 33744.25971875
transcript.pyannote[3467].speaker SPEAKER_24
transcript.pyannote[3467].start 33746.75721875
transcript.pyannote[3467].end 33751.61721875
transcript.pyannote[3468].speaker SPEAKER_16
transcript.pyannote[3468].start 33752.02221875
transcript.pyannote[3468].end 33752.03909375
transcript.pyannote[3469].speaker SPEAKER_25
transcript.pyannote[3469].start 33752.03909375
transcript.pyannote[3469].end 33752.39346875
transcript.pyannote[3470].speaker SPEAKER_24
transcript.pyannote[3470].start 33752.54534375
transcript.pyannote[3470].end 33754.50284375
transcript.pyannote[3471].speaker SPEAKER_24
transcript.pyannote[3471].start 33755.11034375
transcript.pyannote[3471].end 33757.97909375
transcript.pyannote[3472].speaker SPEAKER_24
transcript.pyannote[3472].start 33758.45159375
transcript.pyannote[3472].end 33760.52721875
transcript.pyannote[3473].speaker SPEAKER_15
transcript.pyannote[3473].start 33762.28221875
transcript.pyannote[3473].end 33766.97346875
transcript.pyannote[3474].speaker SPEAKER_24
transcript.pyannote[3474].start 33766.41659375
transcript.pyannote[3474].end 33767.66534375
transcript.pyannote[3475].speaker SPEAKER_15
transcript.pyannote[3475].start 33767.86784375
transcript.pyannote[3475].end 33772.37346875
transcript.pyannote[3476].speaker SPEAKER_24
transcript.pyannote[3476].start 33771.81659375
transcript.pyannote[3476].end 33777.28409375
transcript.pyannote[3477].speaker SPEAKER_24
transcript.pyannote[3477].start 33777.82409375
transcript.pyannote[3477].end 33780.40596875
transcript.pyannote[3478].speaker SPEAKER_24
transcript.pyannote[3478].start 33780.65909375
transcript.pyannote[3478].end 33790.90221875
transcript.pyannote[3479].speaker SPEAKER_24
transcript.pyannote[3479].start 33791.84721875
transcript.pyannote[3479].end 33795.88034375
transcript.pyannote[3480].speaker SPEAKER_24
transcript.pyannote[3480].start 33796.70721875
transcript.pyannote[3480].end 33797.56784375
transcript.pyannote[3481].speaker SPEAKER_24
transcript.pyannote[3481].start 33797.85471875
transcript.pyannote[3481].end 33801.46596875
transcript.pyannote[3482].speaker SPEAKER_24
transcript.pyannote[3482].start 33802.69784375
transcript.pyannote[3482].end 33803.92971875
transcript.pyannote[3483].speaker SPEAKER_24
transcript.pyannote[3483].start 33804.67221875
transcript.pyannote[3483].end 33806.42721875
transcript.pyannote[3484].speaker SPEAKER_24
transcript.pyannote[3484].start 33806.83221875
transcript.pyannote[3484].end 33809.93721875
transcript.pyannote[3485].speaker SPEAKER_24
transcript.pyannote[3485].start 33810.15659375
transcript.pyannote[3485].end 33814.57784375
transcript.pyannote[3486].speaker SPEAKER_24
transcript.pyannote[3486].start 33815.01659375
transcript.pyannote[3486].end 33819.11721875
transcript.pyannote[3487].speaker SPEAKER_24
transcript.pyannote[3487].start 33819.74159375
transcript.pyannote[3487].end 33822.18846875
transcript.pyannote[3488].speaker SPEAKER_24
transcript.pyannote[3488].start 33822.93096875
transcript.pyannote[3488].end 33823.28534375
transcript.pyannote[3489].speaker SPEAKER_24
transcript.pyannote[3489].start 33823.53846875
transcript.pyannote[3489].end 33826.54221875
transcript.pyannote[3490].speaker SPEAKER_24
transcript.pyannote[3490].start 33827.09909375
transcript.pyannote[3490].end 33829.25909375
transcript.pyannote[3491].speaker SPEAKER_24
transcript.pyannote[3491].start 33829.71471875
transcript.pyannote[3491].end 33831.67221875
transcript.pyannote[3492].speaker SPEAKER_24
transcript.pyannote[3492].start 33832.24596875
transcript.pyannote[3492].end 33836.66721875
transcript.pyannote[3493].speaker SPEAKER_24
transcript.pyannote[3493].start 33837.00471875
transcript.pyannote[3493].end 33845.00346875
transcript.pyannote[3494].speaker SPEAKER_24
transcript.pyannote[3494].start 33845.66159375
transcript.pyannote[3494].end 33861.89534375
transcript.pyannote[3495].speaker SPEAKER_24
transcript.pyannote[3495].start 33862.55346875
transcript.pyannote[3495].end 33868.96596875
transcript.pyannote[3496].speaker SPEAKER_24
transcript.pyannote[3496].start 33869.62409375
transcript.pyannote[3496].end 33872.84721875
transcript.pyannote[3497].speaker SPEAKER_24
transcript.pyannote[3497].start 33872.96534375
transcript.pyannote[3497].end 33878.31471875
transcript.pyannote[3498].speaker SPEAKER_24
transcript.pyannote[3498].start 33878.68596875
transcript.pyannote[3498].end 33879.79971875
transcript.pyannote[3499].speaker SPEAKER_24
transcript.pyannote[3499].start 33880.39034375
transcript.pyannote[3499].end 33881.82471875
transcript.pyannote[3500].speaker SPEAKER_15
transcript.pyannote[3500].start 33881.82471875
transcript.pyannote[3500].end 33885.63846875
transcript.pyannote[3501].speaker SPEAKER_15
transcript.pyannote[3501].start 33885.73971875
transcript.pyannote[3501].end 33889.11471875
transcript.pyannote[3502].speaker SPEAKER_24
transcript.pyannote[3502].start 33888.99659375
transcript.pyannote[3502].end 33896.40471875
transcript.pyannote[3503].speaker SPEAKER_24
transcript.pyannote[3503].start 33896.75909375
transcript.pyannote[3503].end 33899.13846875
transcript.pyannote[3504].speaker SPEAKER_24
transcript.pyannote[3504].start 33899.35784375
transcript.pyannote[3504].end 33906.31034375
transcript.pyannote[3505].speaker SPEAKER_24
transcript.pyannote[3505].start 33906.54659375
transcript.pyannote[3505].end 33922.05471875
transcript.pyannote[3506].speaker SPEAKER_24
transcript.pyannote[3506].start 33922.66221875
transcript.pyannote[3506].end 33924.14721875
transcript.pyannote[3507].speaker SPEAKER_24
transcript.pyannote[3507].start 33924.77159375
transcript.pyannote[3507].end 33930.71159375
transcript.pyannote[3508].speaker SPEAKER_24
transcript.pyannote[3508].start 33931.38659375
transcript.pyannote[3508].end 33941.73096875
transcript.pyannote[3509].speaker SPEAKER_24
transcript.pyannote[3509].start 33942.08534375
transcript.pyannote[3509].end 33947.13096875
transcript.pyannote[3510].speaker SPEAKER_24
transcript.pyannote[3510].start 33947.21534375
transcript.pyannote[3510].end 33948.49784375
transcript.pyannote[3511].speaker SPEAKER_24
transcript.pyannote[3511].start 33949.00409375
transcript.pyannote[3511].end 33959.01096875
transcript.pyannote[3512].speaker SPEAKER_24
transcript.pyannote[3512].start 33959.34846875
transcript.pyannote[3512].end 33962.67284375
transcript.pyannote[3513].speaker SPEAKER_24
transcript.pyannote[3513].start 33963.01034375
transcript.pyannote[3513].end 33969.20346875
transcript.pyannote[3514].speaker SPEAKER_24
transcript.pyannote[3514].start 33969.40596875
transcript.pyannote[3514].end 33970.99221875
transcript.pyannote[3515].speaker SPEAKER_24
transcript.pyannote[3515].start 33971.32971875
transcript.pyannote[3515].end 33975.12659375
transcript.pyannote[3516].speaker SPEAKER_24
transcript.pyannote[3516].start 33975.22784375
transcript.pyannote[3516].end 33977.33721875
transcript.pyannote[3517].speaker SPEAKER_25
transcript.pyannote[3517].start 33977.52284375
transcript.pyannote[3517].end 33977.84346875
transcript.pyannote[3518].speaker SPEAKER_24
transcript.pyannote[3518].start 33978.02909375
transcript.pyannote[3518].end 33987.12471875
transcript.pyannote[3519].speaker SPEAKER_15
transcript.pyannote[3519].start 33987.34409375
transcript.pyannote[3519].end 33991.51221875
transcript.pyannote[3520].speaker SPEAKER_24
transcript.pyannote[3520].start 33990.70221875
transcript.pyannote[3520].end 33995.61284375
transcript.pyannote[3521].speaker SPEAKER_15
transcript.pyannote[3521].start 33993.09846875
transcript.pyannote[3521].end 33996.13596875
transcript.pyannote[3522].speaker SPEAKER_24
transcript.pyannote[3522].start 33996.25409375
transcript.pyannote[3522].end 33998.56596875
transcript.pyannote[3523].speaker SPEAKER_03
transcript.pyannote[3523].start 34002.56534375
transcript.pyannote[3523].end 34003.72971875
transcript.pyannote[3524].speaker SPEAKER_24
transcript.pyannote[3524].start 34009.97346875
transcript.pyannote[3524].end 34017.76971875
transcript.pyannote[3525].speaker SPEAKER_24
transcript.pyannote[3525].start 34018.03971875
transcript.pyannote[3525].end 34027.64159375
transcript.pyannote[3526].speaker SPEAKER_24
transcript.pyannote[3526].start 34028.73846875
transcript.pyannote[3526].end 34031.48909375
transcript.pyannote[3527].speaker SPEAKER_25
transcript.pyannote[3527].start 34031.87721875
transcript.pyannote[3527].end 34032.18096875
transcript.pyannote[3528].speaker SPEAKER_24
transcript.pyannote[3528].start 34032.18096875
transcript.pyannote[3528].end 34037.05784375
transcript.pyannote[3529].speaker SPEAKER_24
transcript.pyannote[3529].start 34037.39534375
transcript.pyannote[3529].end 34039.60596875
transcript.pyannote[3530].speaker SPEAKER_24
transcript.pyannote[3530].start 34040.12909375
transcript.pyannote[3530].end 34043.52096875
transcript.pyannote[3531].speaker SPEAKER_24
transcript.pyannote[3531].start 34043.90909375
transcript.pyannote[3531].end 34051.23284375
transcript.pyannote[3532].speaker SPEAKER_24
transcript.pyannote[3532].start 34051.78971875
transcript.pyannote[3532].end 34053.05534375
transcript.pyannote[3533].speaker SPEAKER_24
transcript.pyannote[3533].start 34053.52784375
transcript.pyannote[3533].end 34056.93659375
transcript.pyannote[3534].speaker SPEAKER_24
transcript.pyannote[3534].start 34057.18971875
transcript.pyannote[3534].end 34063.82159375
transcript.pyannote[3535].speaker SPEAKER_24
transcript.pyannote[3535].start 34064.44596875
transcript.pyannote[3535].end 34082.21534375
transcript.pyannote[3536].speaker SPEAKER_25
transcript.pyannote[3536].start 34082.65409375
transcript.pyannote[3536].end 34082.67096875
transcript.pyannote[3537].speaker SPEAKER_24
transcript.pyannote[3537].start 34082.67096875
transcript.pyannote[3537].end 34090.50096875
transcript.pyannote[3538].speaker SPEAKER_24
transcript.pyannote[3538].start 34091.02409375
transcript.pyannote[3538].end 34094.95596875
transcript.pyannote[3539].speaker SPEAKER_24
transcript.pyannote[3539].start 34095.37784375
transcript.pyannote[3539].end 34098.21284375
transcript.pyannote[3540].speaker SPEAKER_24
transcript.pyannote[3540].start 34098.44909375
transcript.pyannote[3540].end 34103.52846875
transcript.pyannote[3541].speaker SPEAKER_24
transcript.pyannote[3541].start 34104.25409375
transcript.pyannote[3541].end 34105.50284375
transcript.pyannote[3542].speaker SPEAKER_24
transcript.pyannote[3542].start 34105.77284375
transcript.pyannote[3542].end 34108.57409375
transcript.pyannote[3543].speaker SPEAKER_24
transcript.pyannote[3543].start 34109.11409375
transcript.pyannote[3543].end 34115.27346875
transcript.pyannote[3544].speaker SPEAKER_24
transcript.pyannote[3544].start 34116.04971875
transcript.pyannote[3544].end 34139.32034375
transcript.pyannote[3545].speaker SPEAKER_24
transcript.pyannote[3545].start 34139.35409375
transcript.pyannote[3545].end 34140.99096875
transcript.pyannote[3546].speaker SPEAKER_24
transcript.pyannote[3546].start 34141.32846875
transcript.pyannote[3546].end 34143.80909375
transcript.pyannote[3547].speaker SPEAKER_24
transcript.pyannote[3547].start 34143.87659375
transcript.pyannote[3547].end 34144.80471875
transcript.pyannote[3548].speaker SPEAKER_25
transcript.pyannote[3548].start 34144.80471875
transcript.pyannote[3548].end 34145.10846875
transcript.pyannote[3549].speaker SPEAKER_24
transcript.pyannote[3549].start 34145.10846875
transcript.pyannote[3549].end 34146.76221875
transcript.pyannote[3550].speaker SPEAKER_24
transcript.pyannote[3550].start 34147.87596875
transcript.pyannote[3550].end 34150.00221875
transcript.pyannote[3551].speaker SPEAKER_24
transcript.pyannote[3551].start 34150.33971875
transcript.pyannote[3551].end 34150.62659375
transcript.pyannote[3552].speaker SPEAKER_24
transcript.pyannote[3552].start 34151.13284375
transcript.pyannote[3552].end 34159.36784375
transcript.pyannote[3553].speaker SPEAKER_24
transcript.pyannote[3553].start 34159.97534375
transcript.pyannote[3553].end 34170.35346875
transcript.pyannote[3554].speaker SPEAKER_24
transcript.pyannote[3554].start 34171.38284375
transcript.pyannote[3554].end 34173.94784375
transcript.pyannote[3555].speaker SPEAKER_24
transcript.pyannote[3555].start 34174.33596875
transcript.pyannote[3555].end 34177.57596875
transcript.pyannote[3556].speaker SPEAKER_24
transcript.pyannote[3556].start 34178.20034375
transcript.pyannote[3556].end 34183.39784375
transcript.pyannote[3557].speaker SPEAKER_24
transcript.pyannote[3557].start 34183.83659375
transcript.pyannote[3557].end 34203.44534375
transcript.pyannote[3558].speaker SPEAKER_24
transcript.pyannote[3558].start 34203.58034375
transcript.pyannote[3558].end 34207.78221875
transcript.pyannote[3559].speaker SPEAKER_24
transcript.pyannote[3559].start 34208.06909375
transcript.pyannote[3559].end 34209.94221875
transcript.pyannote[3560].speaker SPEAKER_24
transcript.pyannote[3560].start 34211.02221875
transcript.pyannote[3560].end 34212.57471875
transcript.pyannote[3561].speaker SPEAKER_24
transcript.pyannote[3561].start 34213.09784375
transcript.pyannote[3561].end 34214.61659375
transcript.pyannote[3562].speaker SPEAKER_24
transcript.pyannote[3562].start 34215.05534375
transcript.pyannote[3562].end 34216.03409375
transcript.pyannote[3563].speaker SPEAKER_24
transcript.pyannote[3563].start 34216.74284375
transcript.pyannote[3563].end 34219.78034375
transcript.pyannote[3564].speaker SPEAKER_24
transcript.pyannote[3564].start 34220.28659375
transcript.pyannote[3564].end 34225.19721875
transcript.pyannote[3565].speaker SPEAKER_24
transcript.pyannote[3565].start 34225.56846875
transcript.pyannote[3565].end 34228.55534375
transcript.pyannote[3566].speaker SPEAKER_24
transcript.pyannote[3566].start 34228.69034375
transcript.pyannote[3566].end 34242.12284375
transcript.pyannote[3567].speaker SPEAKER_24
transcript.pyannote[3567].start 34242.30846875
transcript.pyannote[3567].end 34248.06284375
transcript.pyannote[3568].speaker SPEAKER_24
transcript.pyannote[3568].start 34248.23159375
transcript.pyannote[3568].end 34253.64846875
transcript.pyannote[3569].speaker SPEAKER_07
transcript.pyannote[3569].start 34253.83409375
transcript.pyannote[3569].end 34254.71159375
transcript.pyannote[3570].speaker SPEAKER_24
transcript.pyannote[3570].start 34253.90159375
transcript.pyannote[3570].end 34255.99409375
transcript.pyannote[3571].speaker SPEAKER_07
transcript.pyannote[3571].start 34254.88034375
transcript.pyannote[3571].end 34269.83159375
transcript.pyannote[3572].speaker SPEAKER_24
transcript.pyannote[3572].start 34261.51221875
transcript.pyannote[3572].end 34262.71034375
transcript.pyannote[3573].speaker SPEAKER_14
transcript.pyannote[3573].start 34262.71034375
transcript.pyannote[3573].end 34262.72721875
transcript.pyannote[3574].speaker SPEAKER_24
transcript.pyannote[3574].start 34262.72721875
transcript.pyannote[3574].end 34262.77784375
transcript.pyannote[3575].speaker SPEAKER_24
transcript.pyannote[3575].start 34266.16971875
transcript.pyannote[3575].end 34266.69284375
transcript.pyannote[3576].speaker SPEAKER_07
transcript.pyannote[3576].start 34270.10159375
transcript.pyannote[3576].end 34272.81846875
transcript.pyannote[3577].speaker SPEAKER_24
transcript.pyannote[3577].start 34271.53596875
transcript.pyannote[3577].end 34284.27659375
transcript.pyannote[3578].speaker SPEAKER_07
transcript.pyannote[3578].start 34273.74659375
transcript.pyannote[3578].end 34274.45534375
transcript.pyannote[3579].speaker SPEAKER_07
transcript.pyannote[3579].start 34277.86409375
transcript.pyannote[3579].end 34278.60659375
transcript.pyannote[3580].speaker SPEAKER_14
transcript.pyannote[3580].start 34278.60659375
transcript.pyannote[3580].end 34278.62346875
transcript.pyannote[3581].speaker SPEAKER_07
transcript.pyannote[3581].start 34279.95659375
transcript.pyannote[3581].end 34280.02409375
transcript.pyannote[3582].speaker SPEAKER_25
transcript.pyannote[3582].start 34280.02409375
transcript.pyannote[3582].end 34280.53034375
transcript.pyannote[3583].speaker SPEAKER_06
transcript.pyannote[3583].start 34280.53034375
transcript.pyannote[3583].end 34280.56409375
transcript.pyannote[3584].speaker SPEAKER_14
transcript.pyannote[3584].start 34281.22221875
transcript.pyannote[3584].end 34281.23909375
transcript.pyannote[3585].speaker SPEAKER_25
transcript.pyannote[3585].start 34281.23909375
transcript.pyannote[3585].end 34281.81284375
transcript.pyannote[3586].speaker SPEAKER_25
transcript.pyannote[3586].start 34283.61846875
transcript.pyannote[3586].end 34284.25971875
transcript.pyannote[3587].speaker SPEAKER_25
transcript.pyannote[3587].start 34284.27659375
transcript.pyannote[3587].end 34284.29346875
transcript.pyannote[3588].speaker SPEAKER_24
transcript.pyannote[3588].start 34284.29346875
transcript.pyannote[3588].end 34284.37784375
transcript.pyannote[3589].speaker SPEAKER_25
transcript.pyannote[3589].start 34284.37784375
transcript.pyannote[3589].end 34284.68159375
transcript.pyannote[3590].speaker SPEAKER_24
transcript.pyannote[3590].start 34284.47909375
transcript.pyannote[3590].end 34290.30096875
transcript.pyannote[3591].speaker SPEAKER_25
transcript.pyannote[3591].start 34287.68534375
transcript.pyannote[3591].end 34287.87096875
transcript.pyannote[3592].speaker SPEAKER_24
transcript.pyannote[3592].start 34290.35159375
transcript.pyannote[3592].end 34293.77721875
transcript.pyannote[3593].speaker SPEAKER_24
transcript.pyannote[3593].start 34294.31721875
transcript.pyannote[3593].end 34295.22846875
transcript.pyannote[3594].speaker SPEAKER_24
transcript.pyannote[3594].start 34295.38034375
transcript.pyannote[3594].end 34295.98784375
transcript.pyannote[3595].speaker SPEAKER_24
transcript.pyannote[3595].start 34296.66284375
transcript.pyannote[3595].end 34297.33784375
transcript.pyannote[3596].speaker SPEAKER_24
transcript.pyannote[3596].start 34297.62471875
transcript.pyannote[3596].end 34301.75909375
transcript.pyannote[3597].speaker SPEAKER_24
transcript.pyannote[3597].start 34302.56909375
transcript.pyannote[3597].end 34302.85596875
transcript.pyannote[3598].speaker SPEAKER_24
transcript.pyannote[3598].start 34303.36221875
transcript.pyannote[3598].end 34312.37346875
transcript.pyannote[3599].speaker SPEAKER_24
transcript.pyannote[3599].start 34312.82909375
transcript.pyannote[3599].end 34314.44909375
transcript.pyannote[3600].speaker SPEAKER_24
transcript.pyannote[3600].start 34315.84971875
transcript.pyannote[3600].end 34318.17846875
transcript.pyannote[3601].speaker SPEAKER_24
transcript.pyannote[3601].start 34318.93784375
transcript.pyannote[3601].end 34320.22034375
transcript.pyannote[3602].speaker SPEAKER_24
transcript.pyannote[3602].start 34320.91221875
transcript.pyannote[3602].end 34324.84409375
transcript.pyannote[3603].speaker SPEAKER_24
transcript.pyannote[3603].start 34325.01284375
transcript.pyannote[3603].end 34326.00846875
transcript.pyannote[3604].speaker SPEAKER_24
transcript.pyannote[3604].start 34326.44721875
transcript.pyannote[3604].end 34327.47659375
transcript.pyannote[3605].speaker SPEAKER_24
transcript.pyannote[3605].start 34327.83096875
transcript.pyannote[3605].end 34335.55971875
transcript.pyannote[3606].speaker SPEAKER_00
transcript.pyannote[3606].start 34328.05034375
transcript.pyannote[3606].end 34328.11784375
transcript.pyannote[3607].speaker SPEAKER_24
transcript.pyannote[3607].start 34335.98159375
transcript.pyannote[3607].end 34343.79471875
transcript.pyannote[3608].speaker SPEAKER_24
transcript.pyannote[3608].start 34344.43596875
transcript.pyannote[3608].end 34348.68846875
transcript.pyannote[3609].speaker SPEAKER_24
transcript.pyannote[3609].start 34348.77284375
transcript.pyannote[3609].end 34356.31596875
transcript.pyannote[3610].speaker SPEAKER_24
transcript.pyannote[3610].start 34356.92346875
transcript.pyannote[3610].end 34362.47534375
transcript.pyannote[3611].speaker SPEAKER_24
transcript.pyannote[3611].start 34363.35284375
transcript.pyannote[3611].end 34395.12846875
transcript.pyannote[3612].speaker SPEAKER_24
transcript.pyannote[3612].start 34395.55034375
transcript.pyannote[3612].end 34411.32846875
transcript.pyannote[3613].speaker SPEAKER_24
transcript.pyannote[3613].start 34411.69971875
transcript.pyannote[3613].end 34417.85909375
transcript.pyannote[3614].speaker SPEAKER_24
transcript.pyannote[3614].start 34418.50034375
transcript.pyannote[3614].end 34420.82909375
transcript.pyannote[3615].speaker SPEAKER_24
transcript.pyannote[3615].start 34421.82471875
transcript.pyannote[3615].end 34423.54596875
transcript.pyannote[3616].speaker SPEAKER_24
transcript.pyannote[3616].start 34423.84971875
transcript.pyannote[3616].end 34430.34659375
transcript.pyannote[3617].speaker SPEAKER_24
transcript.pyannote[3617].start 34430.86971875
transcript.pyannote[3617].end 34433.21534375
transcript.pyannote[3618].speaker SPEAKER_24
transcript.pyannote[3618].start 34433.83971875
transcript.pyannote[3618].end 34438.85159375
transcript.pyannote[3619].speaker SPEAKER_24
transcript.pyannote[3619].start 34438.95284375
transcript.pyannote[3619].end 34440.10034375
transcript.pyannote[3620].speaker SPEAKER_24
transcript.pyannote[3620].start 34440.58971875
transcript.pyannote[3620].end 34447.03596875
transcript.pyannote[3621].speaker SPEAKER_24
transcript.pyannote[3621].start 34447.44096875
transcript.pyannote[3621].end 34454.52846875
transcript.pyannote[3622].speaker SPEAKER_07
transcript.pyannote[3622].start 34455.25409375
transcript.pyannote[3622].end 34458.00471875
transcript.pyannote[3623].speaker SPEAKER_07
transcript.pyannote[3623].start 34458.10596875
transcript.pyannote[3623].end 34458.71346875
transcript.pyannote[3624].speaker SPEAKER_07
transcript.pyannote[3624].start 34459.05096875
transcript.pyannote[3624].end 34461.21096875
transcript.pyannote[3625].speaker SPEAKER_24
transcript.pyannote[3625].start 34461.21096875
transcript.pyannote[3625].end 34461.44721875
transcript.pyannote[3626].speaker SPEAKER_07
transcript.pyannote[3626].start 34461.27846875
transcript.pyannote[3626].end 34461.41346875
transcript.pyannote[3627].speaker SPEAKER_07
transcript.pyannote[3627].start 34461.44721875
transcript.pyannote[3627].end 34461.76784375
transcript.pyannote[3628].speaker SPEAKER_24
transcript.pyannote[3628].start 34461.76784375
transcript.pyannote[3628].end 34464.70409375
transcript.pyannote[3629].speaker SPEAKER_24
transcript.pyannote[3629].start 34465.00784375
transcript.pyannote[3629].end 34476.41534375
transcript.pyannote[3630].speaker SPEAKER_24
transcript.pyannote[3630].start 34476.90471875
transcript.pyannote[3630].end 34489.10534375
transcript.pyannote[3631].speaker SPEAKER_24
transcript.pyannote[3631].start 34489.37534375
transcript.pyannote[3631].end 34501.55909375
transcript.pyannote[3632].speaker SPEAKER_24
transcript.pyannote[3632].start 34501.76159375
transcript.pyannote[3632].end 34514.48534375
transcript.pyannote[3633].speaker SPEAKER_24
transcript.pyannote[3633].start 34515.43034375
transcript.pyannote[3633].end 34520.23971875
transcript.pyannote[3634].speaker SPEAKER_24
transcript.pyannote[3634].start 34520.49284375
transcript.pyannote[3634].end 34524.76221875
transcript.pyannote[3635].speaker SPEAKER_24
transcript.pyannote[3635].start 34525.53846875
transcript.pyannote[3635].end 34527.91784375
transcript.pyannote[3636].speaker SPEAKER_24
transcript.pyannote[3636].start 34528.50846875
transcript.pyannote[3636].end 34540.40534375
transcript.pyannote[3637].speaker SPEAKER_24
transcript.pyannote[3637].start 34540.92846875
transcript.pyannote[3637].end 34544.62409375
transcript.pyannote[3638].speaker SPEAKER_24
transcript.pyannote[3638].start 34545.36659375
transcript.pyannote[3638].end 34548.75846875
transcript.pyannote[3639].speaker SPEAKER_24
transcript.pyannote[3639].start 34548.97784375
transcript.pyannote[3639].end 34551.15471875
transcript.pyannote[3640].speaker SPEAKER_24
transcript.pyannote[3640].start 34551.40784375
transcript.pyannote[3640].end 34555.49159375
transcript.pyannote[3641].speaker SPEAKER_24
transcript.pyannote[3641].start 34556.23409375
transcript.pyannote[3641].end 34565.24534375
transcript.pyannote[3642].speaker SPEAKER_24
transcript.pyannote[3642].start 34565.54909375
transcript.pyannote[3642].end 34566.79784375
transcript.pyannote[3643].speaker SPEAKER_24
transcript.pyannote[3643].start 34567.42221875
transcript.pyannote[3643].end 34567.64159375
transcript.pyannote[3644].speaker SPEAKER_24
transcript.pyannote[3644].start 34568.13096875
transcript.pyannote[3644].end 34570.86471875
transcript.pyannote[3645].speaker SPEAKER_17
transcript.pyannote[3645].start 34577.69909375
transcript.pyannote[3645].end 34577.71596875
transcript.pyannote[3646].speaker SPEAKER_24
transcript.pyannote[3646].start 34577.71596875
transcript.pyannote[3646].end 34578.64409375
transcript.pyannote[3647].speaker SPEAKER_17
transcript.pyannote[3647].start 34578.64409375
transcript.pyannote[3647].end 34578.77909375
transcript.pyannote[3648].speaker SPEAKER_24
transcript.pyannote[3648].start 34578.77909375
transcript.pyannote[3648].end 34578.81284375
transcript.pyannote[3649].speaker SPEAKER_24
transcript.pyannote[3649].start 34579.09971875
transcript.pyannote[3649].end 34581.93471875
transcript.pyannote[3650].speaker SPEAKER_17
transcript.pyannote[3650].start 34582.35659375
transcript.pyannote[3650].end 34590.57471875
transcript.pyannote[3651].speaker SPEAKER_24
transcript.pyannote[3651].start 34586.25471875
transcript.pyannote[3651].end 34586.96346875
transcript.pyannote[3652].speaker SPEAKER_24
transcript.pyannote[3652].start 34590.18659375
transcript.pyannote[3652].end 34590.54096875
transcript.pyannote[3653].speaker SPEAKER_24
transcript.pyannote[3653].start 34590.57471875
transcript.pyannote[3653].end 34590.60846875
transcript.pyannote[3654].speaker SPEAKER_24
transcript.pyannote[3654].start 34591.11471875
transcript.pyannote[3654].end 34591.13159375
transcript.pyannote[3655].speaker SPEAKER_17
transcript.pyannote[3655].start 34591.13159375
transcript.pyannote[3655].end 34591.33409375
transcript.pyannote[3656].speaker SPEAKER_24
transcript.pyannote[3656].start 34591.33409375
transcript.pyannote[3656].end 34591.36784375
transcript.pyannote[3657].speaker SPEAKER_17
transcript.pyannote[3657].start 34591.36784375
transcript.pyannote[3657].end 34591.53659375
transcript.pyannote[3658].speaker SPEAKER_24
transcript.pyannote[3658].start 34591.53659375
transcript.pyannote[3658].end 34591.55346875
transcript.pyannote[3659].speaker SPEAKER_17
transcript.pyannote[3659].start 34591.55346875
transcript.pyannote[3659].end 34591.57034375
transcript.pyannote[3660].speaker SPEAKER_24
transcript.pyannote[3660].start 34591.57034375
transcript.pyannote[3660].end 34591.89096875
transcript.pyannote[3661].speaker SPEAKER_17
transcript.pyannote[3661].start 34591.89096875
transcript.pyannote[3661].end 34591.99221875
transcript.pyannote[3662].speaker SPEAKER_17
transcript.pyannote[3662].start 34592.93721875
transcript.pyannote[3662].end 34592.97096875
transcript.pyannote[3663].speaker SPEAKER_24
transcript.pyannote[3663].start 34592.97096875
transcript.pyannote[3663].end 34593.03846875
transcript.pyannote[3664].speaker SPEAKER_17
transcript.pyannote[3664].start 34593.03846875
transcript.pyannote[3664].end 34593.08909375
transcript.pyannote[3665].speaker SPEAKER_24
transcript.pyannote[3665].start 34593.08909375
transcript.pyannote[3665].end 34593.32534375
transcript.pyannote[3666].speaker SPEAKER_17
transcript.pyannote[3666].start 34593.32534375
transcript.pyannote[3666].end 34593.37596875
transcript.pyannote[3667].speaker SPEAKER_24
transcript.pyannote[3667].start 34593.37596875
transcript.pyannote[3667].end 34593.39284375
transcript.pyannote[3668].speaker SPEAKER_17
transcript.pyannote[3668].start 34593.39284375
transcript.pyannote[3668].end 34593.42659375
transcript.pyannote[3669].speaker SPEAKER_17
transcript.pyannote[3669].start 34594.60784375
transcript.pyannote[3669].end 34599.83909375
transcript.pyannote[3670].speaker SPEAKER_17
transcript.pyannote[3670].start 34600.21034375
transcript.pyannote[3670].end 34604.29409375
transcript.pyannote[3671].speaker SPEAKER_24
transcript.pyannote[3671].start 34602.91034375
transcript.pyannote[3671].end 34605.39096875
transcript.pyannote[3672].speaker SPEAKER_24
transcript.pyannote[3672].start 34606.58909375
transcript.pyannote[3672].end 34609.99784375
transcript.pyannote[3673].speaker SPEAKER_17
transcript.pyannote[3673].start 34608.85034375
transcript.pyannote[3673].end 34609.94721875
transcript.pyannote[3674].speaker SPEAKER_17
transcript.pyannote[3674].start 34609.99784375
transcript.pyannote[3674].end 34610.16659375
transcript.pyannote[3675].speaker SPEAKER_17
transcript.pyannote[3675].start 34610.95971875
transcript.pyannote[3675].end 34614.03096875
transcript.pyannote[3676].speaker SPEAKER_17
transcript.pyannote[3676].start 34614.36846875
transcript.pyannote[3676].end 34616.39346875
transcript.pyannote[3677].speaker SPEAKER_24
transcript.pyannote[3677].start 34614.50346875
transcript.pyannote[3677].end 34616.83221875
transcript.pyannote[3678].speaker SPEAKER_24
transcript.pyannote[3678].start 34617.13596875
transcript.pyannote[3678].end 34620.71346875
transcript.pyannote[3679].speaker SPEAKER_06
transcript.pyannote[3679].start 34622.08034375
transcript.pyannote[3679].end 34622.41784375
transcript.pyannote[3680].speaker SPEAKER_17
transcript.pyannote[3680].start 34623.05909375
transcript.pyannote[3680].end 34625.32034375
transcript.pyannote[3681].speaker SPEAKER_24
transcript.pyannote[3681].start 34625.32034375
transcript.pyannote[3681].end 34626.55221875
transcript.pyannote[3682].speaker SPEAKER_17
transcript.pyannote[3682].start 34626.31596875
transcript.pyannote[3682].end 34626.53534375
transcript.pyannote[3683].speaker SPEAKER_06
transcript.pyannote[3683].start 34626.53534375
transcript.pyannote[3683].end 34626.63659375
transcript.pyannote[3684].speaker SPEAKER_24
transcript.pyannote[3684].start 34626.63659375
transcript.pyannote[3684].end 34628.66159375
transcript.pyannote[3685].speaker SPEAKER_06
transcript.pyannote[3685].start 34627.39596875
transcript.pyannote[3685].end 34627.96971875
transcript.pyannote[3686].speaker SPEAKER_24
transcript.pyannote[3686].start 34628.86409375
transcript.pyannote[3686].end 34631.27721875
transcript.pyannote[3687].speaker SPEAKER_24
transcript.pyannote[3687].start 34631.91846875
transcript.pyannote[3687].end 34632.49221875
transcript.pyannote[3688].speaker SPEAKER_17
transcript.pyannote[3688].start 34632.07034375
transcript.pyannote[3688].end 34637.97659375
transcript.pyannote[3689].speaker SPEAKER_24
transcript.pyannote[3689].start 34637.87534375
transcript.pyannote[3689].end 34637.92596875
transcript.pyannote[3690].speaker SPEAKER_24
transcript.pyannote[3690].start 34637.97659375
transcript.pyannote[3690].end 34643.24159375
transcript.pyannote[3691].speaker SPEAKER_24
transcript.pyannote[3691].start 34643.54534375
transcript.pyannote[3691].end 34644.86159375
transcript.pyannote[3692].speaker SPEAKER_17
transcript.pyannote[3692].start 34645.09784375
transcript.pyannote[3692].end 34645.11471875
transcript.pyannote[3693].speaker SPEAKER_24
transcript.pyannote[3693].start 34645.11471875
transcript.pyannote[3693].end 34645.18221875
transcript.pyannote[3694].speaker SPEAKER_17
transcript.pyannote[3694].start 34645.18221875
transcript.pyannote[3694].end 34645.24971875
transcript.pyannote[3695].speaker SPEAKER_24
transcript.pyannote[3695].start 34645.24971875
transcript.pyannote[3695].end 34648.03409375
transcript.pyannote[3696].speaker SPEAKER_17
transcript.pyannote[3696].start 34645.26659375
transcript.pyannote[3696].end 34646.80221875
transcript.pyannote[3697].speaker SPEAKER_03
transcript.pyannote[3697].start 34649.29971875
transcript.pyannote[3697].end 34651.03784375
transcript.pyannote[3698].speaker SPEAKER_03
transcript.pyannote[3698].start 34652.48909375
transcript.pyannote[3698].end 34655.22284375
transcript.pyannote[3699].speaker SPEAKER_19
transcript.pyannote[3699].start 34682.08784375
transcript.pyannote[3699].end 34683.87659375
transcript.pyannote[3700].speaker SPEAKER_03
transcript.pyannote[3700].start 34683.87659375
transcript.pyannote[3700].end 34683.91034375
transcript.pyannote[3701].speaker SPEAKER_19
transcript.pyannote[3701].start 34684.39971875
transcript.pyannote[3701].end 34684.43346875
transcript.pyannote[3702].speaker SPEAKER_03
transcript.pyannote[3702].start 34684.43346875
transcript.pyannote[3702].end 34685.88471875
transcript.pyannote[3703].speaker SPEAKER_03
transcript.pyannote[3703].start 34686.12096875
transcript.pyannote[3703].end 34690.15409375
transcript.pyannote[3704].speaker SPEAKER_19
transcript.pyannote[3704].start 34694.49096875
transcript.pyannote[3704].end 34695.94221875
transcript.pyannote[3705].speaker SPEAKER_19
transcript.pyannote[3705].start 34696.39784375
transcript.pyannote[3705].end 34698.72659375
transcript.pyannote[3706].speaker SPEAKER_17
transcript.pyannote[3706].start 34698.86159375
transcript.pyannote[3706].end 34700.88659375
transcript.pyannote[3707].speaker SPEAKER_19
transcript.pyannote[3707].start 34700.88659375
transcript.pyannote[3707].end 34706.05034375
transcript.pyannote[3708].speaker SPEAKER_19
transcript.pyannote[3708].start 34706.62409375
transcript.pyannote[3708].end 34711.31534375
transcript.pyannote[3709].speaker SPEAKER_19
transcript.pyannote[3709].start 34711.75409375
transcript.pyannote[3709].end 34717.84596875
transcript.pyannote[3710].speaker SPEAKER_19
transcript.pyannote[3710].start 34718.53784375
transcript.pyannote[3710].end 34719.06096875
transcript.pyannote[3711].speaker SPEAKER_17
transcript.pyannote[3711].start 34719.06096875
transcript.pyannote[3711].end 34719.28034375
transcript.pyannote[3712].speaker SPEAKER_19
transcript.pyannote[3712].start 34719.28034375
transcript.pyannote[3712].end 34736.10471875
transcript.pyannote[3713].speaker SPEAKER_17
transcript.pyannote[3713].start 34719.49971875
transcript.pyannote[3713].end 34720.17471875
transcript.pyannote[3714].speaker SPEAKER_19
transcript.pyannote[3714].start 34736.27346875
transcript.pyannote[3714].end 34740.08721875
transcript.pyannote[3715].speaker SPEAKER_19
transcript.pyannote[3715].start 34740.22221875
transcript.pyannote[3715].end 34742.60159375
transcript.pyannote[3716].speaker SPEAKER_19
transcript.pyannote[3716].start 34742.70284375
transcript.pyannote[3716].end 34744.08659375
transcript.pyannote[3717].speaker SPEAKER_19
transcript.pyannote[3717].start 34744.27221875
transcript.pyannote[3717].end 34746.04409375
transcript.pyannote[3718].speaker SPEAKER_19
transcript.pyannote[3718].start 34746.36471875
transcript.pyannote[3718].end 34746.97221875
transcript.pyannote[3719].speaker SPEAKER_19
transcript.pyannote[3719].start 34747.24221875
transcript.pyannote[3719].end 34748.03534375
transcript.pyannote[3720].speaker SPEAKER_19
transcript.pyannote[3720].start 34748.64284375
transcript.pyannote[3720].end 34749.03096875
transcript.pyannote[3721].speaker SPEAKER_19
transcript.pyannote[3721].start 34749.52034375
transcript.pyannote[3721].end 34750.60034375
transcript.pyannote[3722].speaker SPEAKER_19
transcript.pyannote[3722].start 34750.93784375
transcript.pyannote[3722].end 34751.35971875
transcript.pyannote[3723].speaker SPEAKER_19
transcript.pyannote[3723].start 34753.26659375
transcript.pyannote[3723].end 34754.24534375
transcript.pyannote[3724].speaker SPEAKER_17
transcript.pyannote[3724].start 34754.24534375
transcript.pyannote[3724].end 34758.02534375
transcript.pyannote[3725].speaker SPEAKER_17
transcript.pyannote[3725].start 34758.34596875
transcript.pyannote[3725].end 34762.61534375
transcript.pyannote[3726].speaker SPEAKER_17
transcript.pyannote[3726].start 34762.98659375
transcript.pyannote[3726].end 34766.81721875
transcript.pyannote[3727].speaker SPEAKER_19
transcript.pyannote[3727].start 34766.81721875
transcript.pyannote[3727].end 34770.20909375
transcript.pyannote[3728].speaker SPEAKER_04
transcript.pyannote[3728].start 34767.25596875
transcript.pyannote[3728].end 34767.57659375
transcript.pyannote[3729].speaker SPEAKER_04
transcript.pyannote[3729].start 34768.69034375
transcript.pyannote[3729].end 34769.55096875
transcript.pyannote[3730].speaker SPEAKER_19
transcript.pyannote[3730].start 34770.25971875
transcript.pyannote[3730].end 34779.70971875
transcript.pyannote[3731].speaker SPEAKER_19
transcript.pyannote[3731].start 34780.48596875
transcript.pyannote[3731].end 34788.61971875
transcript.pyannote[3732].speaker SPEAKER_19
transcript.pyannote[3732].start 34788.97409375
transcript.pyannote[3732].end 34793.22659375
transcript.pyannote[3733].speaker SPEAKER_19
transcript.pyannote[3733].start 34793.61471875
transcript.pyannote[3733].end 34798.05284375
transcript.pyannote[3734].speaker SPEAKER_19
transcript.pyannote[3734].start 34798.55909375
transcript.pyannote[3734].end 34802.55846875
transcript.pyannote[3735].speaker SPEAKER_19
transcript.pyannote[3735].start 34802.60909375
transcript.pyannote[3735].end 34806.28784375
transcript.pyannote[3736].speaker SPEAKER_19
transcript.pyannote[3736].start 34806.64221875
transcript.pyannote[3736].end 34808.11034375
transcript.pyannote[3737].speaker SPEAKER_19
transcript.pyannote[3737].start 34808.46471875
transcript.pyannote[3737].end 34809.40971875
transcript.pyannote[3738].speaker SPEAKER_19
transcript.pyannote[3738].start 34809.57846875
transcript.pyannote[3738].end 34812.49784375
transcript.pyannote[3739].speaker SPEAKER_19
transcript.pyannote[3739].start 34812.95346875
transcript.pyannote[3739].end 34815.95721875
transcript.pyannote[3740].speaker SPEAKER_19
transcript.pyannote[3740].start 34816.14284375
transcript.pyannote[3740].end 34817.27346875
transcript.pyannote[3741].speaker SPEAKER_19
transcript.pyannote[3741].start 34817.57721875
transcript.pyannote[3741].end 34818.08346875
transcript.pyannote[3742].speaker SPEAKER_19
transcript.pyannote[3742].start 34818.55596875
transcript.pyannote[3742].end 34838.01284375
transcript.pyannote[3743].speaker SPEAKER_17
transcript.pyannote[3743].start 34838.01284375
transcript.pyannote[3743].end 34838.02971875
transcript.pyannote[3744].speaker SPEAKER_17
transcript.pyannote[3744].start 34838.53596875
transcript.pyannote[3744].end 34842.82221875
transcript.pyannote[3745].speaker SPEAKER_25
transcript.pyannote[3745].start 34843.15971875
transcript.pyannote[3745].end 34843.26096875
transcript.pyannote[3746].speaker SPEAKER_17
transcript.pyannote[3746].start 34843.26096875
transcript.pyannote[3746].end 34844.61096875
transcript.pyannote[3747].speaker SPEAKER_17
transcript.pyannote[3747].start 34844.64471875
transcript.pyannote[3747].end 34851.61409375
transcript.pyannote[3748].speaker SPEAKER_17
transcript.pyannote[3748].start 34851.93471875
transcript.pyannote[3748].end 34853.65596875
transcript.pyannote[3749].speaker SPEAKER_17
transcript.pyannote[3749].start 34854.06096875
transcript.pyannote[3749].end 34855.81596875
transcript.pyannote[3750].speaker SPEAKER_17
transcript.pyannote[3750].start 34856.25471875
transcript.pyannote[3750].end 34861.65471875
transcript.pyannote[3751].speaker SPEAKER_19
transcript.pyannote[3751].start 34862.36346875
transcript.pyannote[3751].end 34862.83596875
transcript.pyannote[3752].speaker SPEAKER_17
transcript.pyannote[3752].start 34862.83596875
transcript.pyannote[3752].end 34862.86971875
transcript.pyannote[3753].speaker SPEAKER_17
transcript.pyannote[3753].start 34863.24096875
transcript.pyannote[3753].end 34863.25784375
transcript.pyannote[3754].speaker SPEAKER_19
transcript.pyannote[3754].start 34863.25784375
transcript.pyannote[3754].end 34864.64159375
transcript.pyannote[3755].speaker SPEAKER_19
transcript.pyannote[3755].start 34864.79346875
transcript.pyannote[3755].end 34870.39596875
transcript.pyannote[3756].speaker SPEAKER_19
transcript.pyannote[3756].start 34870.90221875
transcript.pyannote[3756].end 34872.04971875
transcript.pyannote[3757].speaker SPEAKER_19
transcript.pyannote[3757].start 34872.37034375
transcript.pyannote[3757].end 34874.78346875
transcript.pyannote[3758].speaker SPEAKER_19
transcript.pyannote[3758].start 34874.90159375
transcript.pyannote[3758].end 34882.83284375
transcript.pyannote[3759].speaker SPEAKER_19
transcript.pyannote[3759].start 34883.17034375
transcript.pyannote[3759].end 34885.90409375
transcript.pyannote[3760].speaker SPEAKER_07
transcript.pyannote[3760].start 34885.90409375
transcript.pyannote[3760].end 34885.93784375
transcript.pyannote[3761].speaker SPEAKER_19
transcript.pyannote[3761].start 34886.39346875
transcript.pyannote[3761].end 34886.42721875
transcript.pyannote[3762].speaker SPEAKER_07
transcript.pyannote[3762].start 34886.42721875
transcript.pyannote[3762].end 34887.67596875
transcript.pyannote[3763].speaker SPEAKER_07
transcript.pyannote[3763].start 34888.13159375
transcript.pyannote[3763].end 34889.26221875
transcript.pyannote[3764].speaker SPEAKER_07
transcript.pyannote[3764].start 34889.31284375
transcript.pyannote[3764].end 34893.21096875
transcript.pyannote[3765].speaker SPEAKER_07
transcript.pyannote[3765].start 34893.51471875
transcript.pyannote[3765].end 34894.99971875
transcript.pyannote[3766].speaker SPEAKER_07
transcript.pyannote[3766].start 34895.16846875
transcript.pyannote[3766].end 34898.88096875
transcript.pyannote[3767].speaker SPEAKER_07
transcript.pyannote[3767].start 34899.21846875
transcript.pyannote[3767].end 34911.31784375
transcript.pyannote[3768].speaker SPEAKER_07
transcript.pyannote[3768].start 34911.67221875
transcript.pyannote[3768].end 34913.05596875
transcript.pyannote[3769].speaker SPEAKER_07
transcript.pyannote[3769].start 34913.64659375
transcript.pyannote[3769].end 34917.69659375
transcript.pyannote[3770].speaker SPEAKER_19
transcript.pyannote[3770].start 34916.56596875
transcript.pyannote[3770].end 34925.25659375
transcript.pyannote[3771].speaker SPEAKER_07
transcript.pyannote[3771].start 34919.77221875
transcript.pyannote[3771].end 34920.27846875
transcript.pyannote[3772].speaker SPEAKER_19
transcript.pyannote[3772].start 34925.47596875
transcript.pyannote[3772].end 34928.83409375
transcript.pyannote[3773].speaker SPEAKER_19
transcript.pyannote[3773].start 34928.90159375
transcript.pyannote[3773].end 34936.41096875
transcript.pyannote[3774].speaker SPEAKER_19
transcript.pyannote[3774].start 34936.57971875
transcript.pyannote[3774].end 34938.19971875
transcript.pyannote[3775].speaker SPEAKER_19
transcript.pyannote[3775].start 34938.43596875
transcript.pyannote[3775].end 34940.47784375
transcript.pyannote[3776].speaker SPEAKER_19
transcript.pyannote[3776].start 34941.05159375
transcript.pyannote[3776].end 34941.52409375
transcript.pyannote[3777].speaker SPEAKER_19
transcript.pyannote[3777].start 34941.64221875
transcript.pyannote[3777].end 34944.88221875
transcript.pyannote[3778].speaker SPEAKER_19
transcript.pyannote[3778].start 34945.20284375
transcript.pyannote[3778].end 34947.39659375
transcript.pyannote[3779].speaker SPEAKER_19
transcript.pyannote[3779].start 34947.75096875
transcript.pyannote[3779].end 34948.37534375
transcript.pyannote[3780].speaker SPEAKER_19
transcript.pyannote[3780].start 34949.30346875
transcript.pyannote[3780].end 34959.36096875
transcript.pyannote[3781].speaker SPEAKER_19
transcript.pyannote[3781].start 34959.54659375
transcript.pyannote[3781].end 34964.15346875
transcript.pyannote[3782].speaker SPEAKER_19
transcript.pyannote[3782].start 34964.71034375
transcript.pyannote[3782].end 34965.94221875
transcript.pyannote[3783].speaker SPEAKER_19
transcript.pyannote[3783].start 34966.46534375
transcript.pyannote[3783].end 34968.47346875
transcript.pyannote[3784].speaker SPEAKER_19
transcript.pyannote[3784].start 34968.74346875
transcript.pyannote[3784].end 34982.12534375
transcript.pyannote[3785].speaker SPEAKER_19
transcript.pyannote[3785].start 34982.32784375
transcript.pyannote[3785].end 34983.55971875
transcript.pyannote[3786].speaker SPEAKER_19
transcript.pyannote[3786].start 34983.84659375
transcript.pyannote[3786].end 34987.00221875
transcript.pyannote[3787].speaker SPEAKER_19
transcript.pyannote[3787].start 34987.60971875
transcript.pyannote[3787].end 34989.17909375
transcript.pyannote[3788].speaker SPEAKER_19
transcript.pyannote[3788].start 34989.82034375
transcript.pyannote[3788].end 34991.57534375
transcript.pyannote[3789].speaker SPEAKER_19
transcript.pyannote[3789].start 34992.14909375
transcript.pyannote[3789].end 34993.16159375
transcript.pyannote[3790].speaker SPEAKER_19
transcript.pyannote[3790].start 34993.39784375
transcript.pyannote[3790].end 34997.29596875
transcript.pyannote[3791].speaker SPEAKER_07
transcript.pyannote[3791].start 34998.83159375
transcript.pyannote[3791].end 35003.94471875
transcript.pyannote[3792].speaker SPEAKER_19
transcript.pyannote[3792].start 35001.61596875
transcript.pyannote[3792].end 35002.32471875
transcript.pyannote[3793].speaker SPEAKER_19
transcript.pyannote[3793].start 35003.47221875
transcript.pyannote[3793].end 35006.42534375
transcript.pyannote[3794].speaker SPEAKER_07
transcript.pyannote[3794].start 35006.42534375
transcript.pyannote[3794].end 35006.44221875
transcript.pyannote[3795].speaker SPEAKER_19
transcript.pyannote[3795].start 35006.72909375
transcript.pyannote[3795].end 35007.92721875
transcript.pyannote[3796].speaker SPEAKER_25
transcript.pyannote[3796].start 35008.77096875
transcript.pyannote[3796].end 35008.80471875
transcript.pyannote[3797].speaker SPEAKER_19
transcript.pyannote[3797].start 35008.80471875
transcript.pyannote[3797].end 35010.45846875
transcript.pyannote[3798].speaker SPEAKER_19
transcript.pyannote[3798].start 35010.89721875
transcript.pyannote[3798].end 35011.79159375
transcript.pyannote[3799].speaker SPEAKER_19
transcript.pyannote[3799].start 35012.24721875
transcript.pyannote[3799].end 35013.05721875
transcript.pyannote[3800].speaker SPEAKER_19
transcript.pyannote[3800].start 35013.44534375
transcript.pyannote[3800].end 35018.32221875
transcript.pyannote[3801].speaker SPEAKER_19
transcript.pyannote[3801].start 35018.99721875
transcript.pyannote[3801].end 35021.83221875
transcript.pyannote[3802].speaker SPEAKER_19
transcript.pyannote[3802].start 35021.86596875
transcript.pyannote[3802].end 35025.42659375
transcript.pyannote[3803].speaker SPEAKER_19
transcript.pyannote[3803].start 35025.71346875
transcript.pyannote[3803].end 35026.03409375
transcript.pyannote[3804].speaker SPEAKER_19
transcript.pyannote[3804].start 35026.21971875
transcript.pyannote[3804].end 35029.42596875
transcript.pyannote[3805].speaker SPEAKER_19
transcript.pyannote[3805].start 35029.64534375
transcript.pyannote[3805].end 35030.32034375
transcript.pyannote[3806].speaker SPEAKER_19
transcript.pyannote[3806].start 35030.69159375
transcript.pyannote[3806].end 35033.98221875
transcript.pyannote[3807].speaker SPEAKER_19
transcript.pyannote[3807].start 35034.28596875
transcript.pyannote[3807].end 35042.25096875
transcript.pyannote[3808].speaker SPEAKER_19
transcript.pyannote[3808].start 35042.53784375
transcript.pyannote[3808].end 35052.35909375
transcript.pyannote[3809].speaker SPEAKER_19
transcript.pyannote[3809].start 35052.40971875
transcript.pyannote[3809].end 35056.86471875
transcript.pyannote[3810].speaker SPEAKER_19
transcript.pyannote[3810].start 35056.89846875
transcript.pyannote[3810].end 35060.07096875
transcript.pyannote[3811].speaker SPEAKER_19
transcript.pyannote[3811].start 35060.18909375
transcript.pyannote[3811].end 35071.78221875
transcript.pyannote[3812].speaker SPEAKER_19
transcript.pyannote[3812].start 35071.83284375
transcript.pyannote[3812].end 35072.81159375
transcript.pyannote[3813].speaker SPEAKER_19
transcript.pyannote[3813].start 35073.38534375
transcript.pyannote[3813].end 35075.81534375
transcript.pyannote[3814].speaker SPEAKER_19
transcript.pyannote[3814].start 35076.15284375
transcript.pyannote[3814].end 35076.87846875
transcript.pyannote[3815].speaker SPEAKER_19
transcript.pyannote[3815].start 35076.96284375
transcript.pyannote[3815].end 35077.95846875
transcript.pyannote[3816].speaker SPEAKER_19
transcript.pyannote[3816].start 35078.24534375
transcript.pyannote[3816].end 35079.40971875
transcript.pyannote[3817].speaker SPEAKER_19
transcript.pyannote[3817].start 35079.51096875
transcript.pyannote[3817].end 35083.27409375
transcript.pyannote[3818].speaker SPEAKER_19
transcript.pyannote[3818].start 35083.54409375
transcript.pyannote[3818].end 35084.64096875
transcript.pyannote[3819].speaker SPEAKER_19
transcript.pyannote[3819].start 35084.91096875
transcript.pyannote[3819].end 35093.97284375
transcript.pyannote[3820].speaker SPEAKER_19
transcript.pyannote[3820].start 35094.25971875
transcript.pyannote[3820].end 35097.02721875
transcript.pyannote[3821].speaker SPEAKER_19
transcript.pyannote[3821].start 35097.56721875
transcript.pyannote[3821].end 35099.59221875
transcript.pyannote[3822].speaker SPEAKER_19
transcript.pyannote[3822].start 35100.21659375
transcript.pyannote[3822].end 35102.44409375
transcript.pyannote[3823].speaker SPEAKER_19
transcript.pyannote[3823].start 35102.52846875
transcript.pyannote[3823].end 35106.32534375
transcript.pyannote[3824].speaker SPEAKER_19
transcript.pyannote[3824].start 35106.44346875
transcript.pyannote[3824].end 35109.04221875
transcript.pyannote[3825].speaker SPEAKER_19
transcript.pyannote[3825].start 35109.10971875
transcript.pyannote[3825].end 35109.46409375
transcript.pyannote[3826].speaker SPEAKER_19
transcript.pyannote[3826].start 35110.08846875
transcript.pyannote[3826].end 35112.07971875
transcript.pyannote[3827].speaker SPEAKER_19
transcript.pyannote[3827].start 35112.46784375
transcript.pyannote[3827].end 35114.83034375
transcript.pyannote[3828].speaker SPEAKER_19
transcript.pyannote[3828].start 35115.57284375
transcript.pyannote[3828].end 35117.00721875
transcript.pyannote[3829].speaker SPEAKER_19
transcript.pyannote[3829].start 35117.14221875
transcript.pyannote[3829].end 35118.79596875
transcript.pyannote[3830].speaker SPEAKER_19
transcript.pyannote[3830].start 35119.23471875
transcript.pyannote[3830].end 35120.33159375
transcript.pyannote[3831].speaker SPEAKER_19
transcript.pyannote[3831].start 35121.07409375
transcript.pyannote[3831].end 35122.39034375
transcript.pyannote[3832].speaker SPEAKER_19
transcript.pyannote[3832].start 35122.76159375
transcript.pyannote[3832].end 35123.55471875
transcript.pyannote[3833].speaker SPEAKER_19
transcript.pyannote[3833].start 35124.21284375
transcript.pyannote[3833].end 35127.70596875
transcript.pyannote[3834].speaker SPEAKER_19
transcript.pyannote[3834].start 35128.17846875
transcript.pyannote[3834].end 35128.68471875
transcript.pyannote[3835].speaker SPEAKER_19
transcript.pyannote[3835].start 35129.37659375
transcript.pyannote[3835].end 35130.70971875
transcript.pyannote[3836].speaker SPEAKER_19
transcript.pyannote[3836].start 35131.26659375
transcript.pyannote[3836].end 35132.98784375
transcript.pyannote[3837].speaker SPEAKER_19
transcript.pyannote[3837].start 35133.22409375
transcript.pyannote[3837].end 35133.64596875
transcript.pyannote[3838].speaker SPEAKER_19
transcript.pyannote[3838].start 35133.93284375
transcript.pyannote[3838].end 35134.48971875
transcript.pyannote[3839].speaker SPEAKER_19
transcript.pyannote[3839].start 35135.09721875
transcript.pyannote[3839].end 35137.25721875
transcript.pyannote[3840].speaker SPEAKER_19
transcript.pyannote[3840].start 35137.79721875
transcript.pyannote[3840].end 35138.40471875
transcript.pyannote[3841].speaker SPEAKER_19
transcript.pyannote[3841].start 35138.89409375
transcript.pyannote[3841].end 35139.46784375
transcript.pyannote[3842].speaker SPEAKER_19
transcript.pyannote[3842].start 35140.17659375
transcript.pyannote[3842].end 35140.58159375
transcript.pyannote[3843].speaker SPEAKER_19
transcript.pyannote[3843].start 35141.66159375
transcript.pyannote[3843].end 35142.47159375
transcript.pyannote[3844].speaker SPEAKER_19
transcript.pyannote[3844].start 35142.67409375
transcript.pyannote[3844].end 35143.56846875
transcript.pyannote[3845].speaker SPEAKER_19
transcript.pyannote[3845].start 35143.93971875
transcript.pyannote[3845].end 35145.20534375
transcript.pyannote[3846].speaker SPEAKER_19
transcript.pyannote[3846].start 35145.42471875
transcript.pyannote[3846].end 35146.42034375
transcript.pyannote[3847].speaker SPEAKER_06
transcript.pyannote[3847].start 35147.88846875
transcript.pyannote[3847].end 35149.40721875
transcript.pyannote[3848].speaker SPEAKER_19
transcript.pyannote[3848].start 35148.71534375
transcript.pyannote[3848].end 35161.16909375
transcript.pyannote[3849].speaker SPEAKER_07
transcript.pyannote[3849].start 35159.75159375
transcript.pyannote[3849].end 35163.81846875
transcript.pyannote[3850].speaker SPEAKER_07
transcript.pyannote[3850].start 35164.17284375
transcript.pyannote[3850].end 35167.41284375
transcript.pyannote[3851].speaker SPEAKER_07
transcript.pyannote[3851].start 35167.64909375
transcript.pyannote[3851].end 35171.02409375
transcript.pyannote[3852].speaker SPEAKER_07
transcript.pyannote[3852].start 35171.27721875
transcript.pyannote[3852].end 35172.27284375
transcript.pyannote[3853].speaker SPEAKER_07
transcript.pyannote[3853].start 35172.44159375
transcript.pyannote[3853].end 35172.71159375
transcript.pyannote[3854].speaker SPEAKER_19
transcript.pyannote[3854].start 35172.71159375
transcript.pyannote[3854].end 35172.94784375
transcript.pyannote[3855].speaker SPEAKER_07
transcript.pyannote[3855].start 35172.94784375
transcript.pyannote[3855].end 35173.03221875
transcript.pyannote[3856].speaker SPEAKER_19
transcript.pyannote[3856].start 35173.03221875
transcript.pyannote[3856].end 35173.26846875
transcript.pyannote[3857].speaker SPEAKER_07
transcript.pyannote[3857].start 35173.26846875
transcript.pyannote[3857].end 35173.87596875
transcript.pyannote[3858].speaker SPEAKER_19
transcript.pyannote[3858].start 35173.55534375
transcript.pyannote[3858].end 35179.90034375
transcript.pyannote[3859].speaker SPEAKER_25
transcript.pyannote[3859].start 35179.90034375
transcript.pyannote[3859].end 35180.22096875
transcript.pyannote[3860].speaker SPEAKER_19
transcript.pyannote[3860].start 35180.22096875
transcript.pyannote[3860].end 35185.82346875
transcript.pyannote[3861].speaker SPEAKER_19
transcript.pyannote[3861].start 35185.97534375
transcript.pyannote[3861].end 35189.26596875
transcript.pyannote[3862].speaker SPEAKER_19
transcript.pyannote[3862].start 35189.51909375
transcript.pyannote[3862].end 35196.38721875
transcript.pyannote[3863].speaker SPEAKER_19
transcript.pyannote[3863].start 35196.74159375
transcript.pyannote[3863].end 35197.61909375
transcript.pyannote[3864].speaker SPEAKER_19
transcript.pyannote[3864].start 35197.85534375
transcript.pyannote[3864].end 35200.99409375
transcript.pyannote[3865].speaker SPEAKER_19
transcript.pyannote[3865].start 35201.56784375
transcript.pyannote[3865].end 35203.84596875
transcript.pyannote[3866].speaker SPEAKER_19
transcript.pyannote[3866].start 35204.09909375
transcript.pyannote[3866].end 35205.58409375
transcript.pyannote[3867].speaker SPEAKER_19
transcript.pyannote[3867].start 35205.95534375
transcript.pyannote[3867].end 35219.80971875
transcript.pyannote[3868].speaker SPEAKER_19
transcript.pyannote[3868].start 35219.94471875
transcript.pyannote[3868].end 35224.80471875
transcript.pyannote[3869].speaker SPEAKER_19
transcript.pyannote[3869].start 35225.17596875
transcript.pyannote[3869].end 35230.03596875
transcript.pyannote[3870].speaker SPEAKER_17
transcript.pyannote[3870].start 35230.03596875
transcript.pyannote[3870].end 35242.65846875
transcript.pyannote[3871].speaker SPEAKER_17
transcript.pyannote[3871].start 35243.09721875
transcript.pyannote[3871].end 35244.97034375
transcript.pyannote[3872].speaker SPEAKER_19
transcript.pyannote[3872].start 35244.97034375
transcript.pyannote[3872].end 35268.42659375
transcript.pyannote[3873].speaker SPEAKER_19
transcript.pyannote[3873].start 35268.81471875
transcript.pyannote[3873].end 35269.50659375
transcript.pyannote[3874].speaker SPEAKER_19
transcript.pyannote[3874].start 35269.62471875
transcript.pyannote[3874].end 35270.45159375
transcript.pyannote[3875].speaker SPEAKER_19
transcript.pyannote[3875].start 35270.90721875
transcript.pyannote[3875].end 35271.34596875
transcript.pyannote[3876].speaker SPEAKER_19
transcript.pyannote[3876].start 35272.37534375
transcript.pyannote[3876].end 35272.81409375
transcript.pyannote[3877].speaker SPEAKER_19
transcript.pyannote[3877].start 35273.10096875
transcript.pyannote[3877].end 35273.74221875
transcript.pyannote[3878].speaker SPEAKER_19
transcript.pyannote[3878].start 35274.68721875
transcript.pyannote[3878].end 35277.89346875
transcript.pyannote[3879].speaker SPEAKER_19
transcript.pyannote[3879].start 35278.16346875
transcript.pyannote[3879].end 35279.53034375
transcript.pyannote[3880].speaker SPEAKER_17
transcript.pyannote[3880].start 35280.15471875
transcript.pyannote[3880].end 35281.16721875
transcript.pyannote[3881].speaker SPEAKER_19
transcript.pyannote[3881].start 35281.16721875
transcript.pyannote[3881].end 35285.77409375
transcript.pyannote[3882].speaker SPEAKER_17
transcript.pyannote[3882].start 35284.87971875
transcript.pyannote[3882].end 35285.33534375
transcript.pyannote[3883].speaker SPEAKER_17
transcript.pyannote[3883].start 35285.77409375
transcript.pyannote[3883].end 35285.89221875
transcript.pyannote[3884].speaker SPEAKER_19
transcript.pyannote[3884].start 35285.89221875
transcript.pyannote[3884].end 35286.78659375
transcript.pyannote[3885].speaker SPEAKER_19
transcript.pyannote[3885].start 35287.02284375
transcript.pyannote[3885].end 35288.49096875
transcript.pyannote[3886].speaker SPEAKER_19
transcript.pyannote[3886].start 35288.92971875
transcript.pyannote[3886].end 35290.60034375
transcript.pyannote[3887].speaker SPEAKER_19
transcript.pyannote[3887].start 35291.07284375
transcript.pyannote[3887].end 35293.26659375
transcript.pyannote[3888].speaker SPEAKER_07
transcript.pyannote[3888].start 35293.67159375
transcript.pyannote[3888].end 35294.04284375
transcript.pyannote[3889].speaker SPEAKER_19
transcript.pyannote[3889].start 35294.04284375
transcript.pyannote[3889].end 35294.16096875
transcript.pyannote[3890].speaker SPEAKER_07
transcript.pyannote[3890].start 35294.16096875
transcript.pyannote[3890].end 35295.10596875
transcript.pyannote[3891].speaker SPEAKER_19
transcript.pyannote[3891].start 35294.17784375
transcript.pyannote[3891].end 35295.15659375
transcript.pyannote[3892].speaker SPEAKER_07
transcript.pyannote[3892].start 35295.15659375
transcript.pyannote[3892].end 35298.78471875
transcript.pyannote[3893].speaker SPEAKER_07
transcript.pyannote[3893].start 35298.88596875
transcript.pyannote[3893].end 35298.90284375
transcript.pyannote[3894].speaker SPEAKER_19
transcript.pyannote[3894].start 35298.90284375
transcript.pyannote[3894].end 35298.91971875
transcript.pyannote[3895].speaker SPEAKER_07
transcript.pyannote[3895].start 35298.91971875
transcript.pyannote[3895].end 35298.97034375
transcript.pyannote[3896].speaker SPEAKER_19
transcript.pyannote[3896].start 35298.97034375
transcript.pyannote[3896].end 35299.76346875
transcript.pyannote[3897].speaker SPEAKER_07
transcript.pyannote[3897].start 35299.44284375
transcript.pyannote[3897].end 35299.78034375
transcript.pyannote[3898].speaker SPEAKER_25
transcript.pyannote[3898].start 35299.76346875
transcript.pyannote[3898].end 35300.21909375
transcript.pyannote[3899].speaker SPEAKER_07
transcript.pyannote[3899].start 35300.03346875
transcript.pyannote[3899].end 35300.06721875
transcript.pyannote[3900].speaker SPEAKER_19
transcript.pyannote[3900].start 35300.06721875
transcript.pyannote[3900].end 35301.67034375
transcript.pyannote[3901].speaker SPEAKER_07
transcript.pyannote[3901].start 35300.21909375
transcript.pyannote[3901].end 35300.35409375
transcript.pyannote[3902].speaker SPEAKER_19
transcript.pyannote[3902].start 35302.48034375
transcript.pyannote[3902].end 35303.12159375
transcript.pyannote[3903].speaker SPEAKER_19
transcript.pyannote[3903].start 35303.83034375
transcript.pyannote[3903].end 35304.31971875
transcript.pyannote[3904].speaker SPEAKER_19
transcript.pyannote[3904].start 35304.69096875
transcript.pyannote[3904].end 35311.82909375
transcript.pyannote[3905].speaker SPEAKER_19
transcript.pyannote[3905].start 35312.14971875
transcript.pyannote[3905].end 35318.57909375
transcript.pyannote[3906].speaker SPEAKER_19
transcript.pyannote[3906].start 35319.00096875
transcript.pyannote[3906].end 35325.46409375
transcript.pyannote[3907].speaker SPEAKER_19
transcript.pyannote[3907].start 35325.93659375
transcript.pyannote[3907].end 35331.50534375
transcript.pyannote[3908].speaker SPEAKER_19
transcript.pyannote[3908].start 35331.82596875
transcript.pyannote[3908].end 35338.67721875
transcript.pyannote[3909].speaker SPEAKER_19
transcript.pyannote[3909].start 35339.06534375
transcript.pyannote[3909].end 35339.65596875
transcript.pyannote[3910].speaker SPEAKER_19
transcript.pyannote[3910].start 35340.07784375
transcript.pyannote[3910].end 35342.71034375
transcript.pyannote[3911].speaker SPEAKER_19
transcript.pyannote[3911].start 35342.86221875
transcript.pyannote[3911].end 35347.09784375
transcript.pyannote[3912].speaker SPEAKER_19
transcript.pyannote[3912].start 35347.40159375
transcript.pyannote[3912].end 35354.26971875
transcript.pyannote[3913].speaker SPEAKER_19
transcript.pyannote[3913].start 35354.47221875
transcript.pyannote[3913].end 35356.39596875
transcript.pyannote[3914].speaker SPEAKER_19
transcript.pyannote[3914].start 35356.68284375
transcript.pyannote[3914].end 35360.42909375
transcript.pyannote[3915].speaker SPEAKER_19
transcript.pyannote[3915].start 35360.66534375
transcript.pyannote[3915].end 35361.93096875
transcript.pyannote[3916].speaker SPEAKER_19
transcript.pyannote[3916].start 35362.53846875
transcript.pyannote[3916].end 35371.46534375
transcript.pyannote[3917].speaker SPEAKER_19
transcript.pyannote[3917].start 35371.90409375
transcript.pyannote[3917].end 35372.91659375
transcript.pyannote[3918].speaker SPEAKER_19
transcript.pyannote[3918].start 35373.15284375
transcript.pyannote[3918].end 35375.05971875
transcript.pyannote[3919].speaker SPEAKER_19
transcript.pyannote[3919].start 35375.44784375
transcript.pyannote[3919].end 35377.67534375
transcript.pyannote[3920].speaker SPEAKER_19
transcript.pyannote[3920].start 35379.21096875
transcript.pyannote[3920].end 35379.83534375
transcript.pyannote[3921].speaker SPEAKER_19
transcript.pyannote[3921].start 35380.15596875
transcript.pyannote[3921].end 35381.16846875
transcript.pyannote[3922].speaker SPEAKER_19
transcript.pyannote[3922].start 35381.53971875
transcript.pyannote[3922].end 35384.08784375
transcript.pyannote[3923].speaker SPEAKER_19
transcript.pyannote[3923].start 35384.23971875
transcript.pyannote[3923].end 35384.94846875
transcript.pyannote[3924].speaker SPEAKER_19
transcript.pyannote[3924].start 35385.03284375
transcript.pyannote[3924].end 35386.02846875
transcript.pyannote[3925].speaker SPEAKER_19
transcript.pyannote[3925].start 35386.07909375
transcript.pyannote[3925].end 35389.96034375
transcript.pyannote[3926].speaker SPEAKER_19
transcript.pyannote[3926].start 35390.29784375
transcript.pyannote[3926].end 35394.78659375
transcript.pyannote[3927].speaker SPEAKER_19
transcript.pyannote[3927].start 35395.42784375
transcript.pyannote[3927].end 35397.92534375
transcript.pyannote[3928].speaker SPEAKER_19
transcript.pyannote[3928].start 35398.17846875
transcript.pyannote[3928].end 35402.54909375
transcript.pyannote[3929].speaker SPEAKER_19
transcript.pyannote[3929].start 35403.12284375
transcript.pyannote[3929].end 35403.71346875
transcript.pyannote[3930].speaker SPEAKER_19
transcript.pyannote[3930].start 35404.08471875
transcript.pyannote[3930].end 35407.34159375
transcript.pyannote[3931].speaker SPEAKER_19
transcript.pyannote[3931].start 35407.76346875
transcript.pyannote[3931].end 35409.01221875
transcript.pyannote[3932].speaker SPEAKER_19
transcript.pyannote[3932].start 35410.12596875
transcript.pyannote[3932].end 35411.64471875
transcript.pyannote[3933].speaker SPEAKER_19
transcript.pyannote[3933].start 35412.10034375
transcript.pyannote[3933].end 35415.49221875
transcript.pyannote[3934].speaker SPEAKER_19
transcript.pyannote[3934].start 35415.69471875
transcript.pyannote[3934].end 35417.01096875
transcript.pyannote[3935].speaker SPEAKER_19
transcript.pyannote[3935].start 35417.26409375
transcript.pyannote[3935].end 35418.73221875
transcript.pyannote[3936].speaker SPEAKER_19
transcript.pyannote[3936].start 35419.00221875
transcript.pyannote[3936].end 35419.81221875
transcript.pyannote[3937].speaker SPEAKER_19
transcript.pyannote[3937].start 35420.84159375
transcript.pyannote[3937].end 35421.82034375
transcript.pyannote[3938].speaker SPEAKER_19
transcript.pyannote[3938].start 35422.10721875
transcript.pyannote[3938].end 35424.16596875
transcript.pyannote[3939].speaker SPEAKER_19
transcript.pyannote[3939].start 35424.52034375
transcript.pyannote[3939].end 35425.54971875
transcript.pyannote[3940].speaker SPEAKER_19
transcript.pyannote[3940].start 35425.92096875
transcript.pyannote[3940].end 35431.15221875
transcript.pyannote[3941].speaker SPEAKER_19
transcript.pyannote[3941].start 35431.45596875
transcript.pyannote[3941].end 35432.09721875
transcript.pyannote[3942].speaker SPEAKER_19
transcript.pyannote[3942].start 35432.28284375
transcript.pyannote[3942].end 35440.46721875
transcript.pyannote[3943].speaker SPEAKER_19
transcript.pyannote[3943].start 35440.80471875
transcript.pyannote[3943].end 35444.85471875
transcript.pyannote[3944].speaker SPEAKER_19
transcript.pyannote[3944].start 35445.14159375
transcript.pyannote[3944].end 35447.23409375
transcript.pyannote[3945].speaker SPEAKER_19
transcript.pyannote[3945].start 35447.50409375
transcript.pyannote[3945].end 35448.34784375
transcript.pyannote[3946].speaker SPEAKER_19
transcript.pyannote[3946].start 35448.63471875
transcript.pyannote[3946].end 35449.12409375
transcript.pyannote[3947].speaker SPEAKER_07
transcript.pyannote[3947].start 35449.12409375
transcript.pyannote[3947].end 35451.50346875
transcript.pyannote[3948].speaker SPEAKER_07
transcript.pyannote[3948].start 35451.99284375
transcript.pyannote[3948].end 35455.03034375
transcript.pyannote[3949].speaker SPEAKER_07
transcript.pyannote[3949].start 35455.45221875
transcript.pyannote[3949].end 35457.73034375
transcript.pyannote[3950].speaker SPEAKER_07
transcript.pyannote[3950].start 35458.10159375
transcript.pyannote[3950].end 35459.90721875
transcript.pyannote[3951].speaker SPEAKER_07
transcript.pyannote[3951].start 35460.27846875
transcript.pyannote[3951].end 35463.77159375
transcript.pyannote[3952].speaker SPEAKER_07
transcript.pyannote[3952].start 35464.09221875
transcript.pyannote[3952].end 35465.69534375
transcript.pyannote[3953].speaker SPEAKER_07
transcript.pyannote[3953].start 35466.37034375
transcript.pyannote[3953].end 35466.38721875
transcript.pyannote[3954].speaker SPEAKER_19
transcript.pyannote[3954].start 35466.38721875
transcript.pyannote[3954].end 35467.77096875
transcript.pyannote[3955].speaker SPEAKER_07
transcript.pyannote[3955].start 35466.69096875
transcript.pyannote[3955].end 35466.97784375
transcript.pyannote[3956].speaker SPEAKER_07
transcript.pyannote[3956].start 35467.77096875
transcript.pyannote[3956].end 35467.87221875
transcript.pyannote[3957].speaker SPEAKER_19
transcript.pyannote[3957].start 35467.87221875
transcript.pyannote[3957].end 35468.41221875
transcript.pyannote[3958].speaker SPEAKER_07
transcript.pyannote[3958].start 35468.41221875
transcript.pyannote[3958].end 35468.63159375
transcript.pyannote[3959].speaker SPEAKER_19
transcript.pyannote[3959].start 35468.63159375
transcript.pyannote[3959].end 35471.26409375
transcript.pyannote[3960].speaker SPEAKER_19
transcript.pyannote[3960].start 35471.55096875
transcript.pyannote[3960].end 35497.84221875
transcript.pyannote[3961].speaker SPEAKER_19
transcript.pyannote[3961].start 35498.26409375
transcript.pyannote[3961].end 35498.80409375
transcript.pyannote[3962].speaker SPEAKER_06
transcript.pyannote[3962].start 35499.37784375
transcript.pyannote[3962].end 35499.74909375
transcript.pyannote[3963].speaker SPEAKER_07
transcript.pyannote[3963].start 35499.74909375
transcript.pyannote[3963].end 35507.47784375
transcript.pyannote[3964].speaker SPEAKER_07
transcript.pyannote[3964].start 35507.49471875
transcript.pyannote[3964].end 35513.73846875
transcript.pyannote[3965].speaker SPEAKER_07
transcript.pyannote[3965].start 35514.53159375
transcript.pyannote[3965].end 35514.64971875
transcript.pyannote[3966].speaker SPEAKER_19
transcript.pyannote[3966].start 35514.64971875
transcript.pyannote[3966].end 35514.83534375
transcript.pyannote[3967].speaker SPEAKER_07
transcript.pyannote[3967].start 35514.83534375
transcript.pyannote[3967].end 35515.08846875
transcript.pyannote[3968].speaker SPEAKER_19
transcript.pyannote[3968].start 35515.08846875
transcript.pyannote[3968].end 35515.10534375
transcript.pyannote[3969].speaker SPEAKER_07
transcript.pyannote[3969].start 35515.10534375
transcript.pyannote[3969].end 35515.12221875
transcript.pyannote[3970].speaker SPEAKER_19
transcript.pyannote[3970].start 35515.12221875
transcript.pyannote[3970].end 35515.30784375
transcript.pyannote[3971].speaker SPEAKER_07
transcript.pyannote[3971].start 35515.30784375
transcript.pyannote[3971].end 35515.32471875
transcript.pyannote[3972].speaker SPEAKER_19
transcript.pyannote[3972].start 35515.32471875
transcript.pyannote[3972].end 35515.34159375
transcript.pyannote[3973].speaker SPEAKER_07
transcript.pyannote[3973].start 35515.34159375
transcript.pyannote[3973].end 35516.80971875
transcript.pyannote[3974].speaker SPEAKER_19
transcript.pyannote[3974].start 35516.80971875
transcript.pyannote[3974].end 35521.02846875
transcript.pyannote[3975].speaker SPEAKER_07
transcript.pyannote[3975].start 35517.73784375
transcript.pyannote[3975].end 35518.96971875
transcript.pyannote[3976].speaker SPEAKER_25
transcript.pyannote[3976].start 35518.96971875
transcript.pyannote[3976].end 35519.03721875
transcript.pyannote[3977].speaker SPEAKER_17
transcript.pyannote[3977].start 35519.03721875
transcript.pyannote[3977].end 35519.07096875
transcript.pyannote[3978].speaker SPEAKER_17
transcript.pyannote[3978].start 35521.02846875
transcript.pyannote[3978].end 35533.02659375
transcript.pyannote[3979].speaker SPEAKER_17
transcript.pyannote[3979].start 35533.29659375
transcript.pyannote[3979].end 35533.33034375
transcript.pyannote[3980].speaker SPEAKER_19
transcript.pyannote[3980].start 35533.33034375
transcript.pyannote[3980].end 35533.53284375
transcript.pyannote[3981].speaker SPEAKER_17
transcript.pyannote[3981].start 35533.53284375
transcript.pyannote[3981].end 35533.58346875
transcript.pyannote[3982].speaker SPEAKER_19
transcript.pyannote[3982].start 35533.58346875
transcript.pyannote[3982].end 35536.90784375
transcript.pyannote[3983].speaker SPEAKER_19
transcript.pyannote[3983].start 35537.39721875
transcript.pyannote[3983].end 35557.93409375
transcript.pyannote[3984].speaker SPEAKER_19
transcript.pyannote[3984].start 35558.08596875
transcript.pyannote[3984].end 35560.80284375
transcript.pyannote[3985].speaker SPEAKER_19
transcript.pyannote[3985].start 35561.07284375
transcript.pyannote[3985].end 35571.72096875
transcript.pyannote[3986].speaker SPEAKER_19
transcript.pyannote[3986].start 35572.29471875
transcript.pyannote[3986].end 35573.44221875
transcript.pyannote[3987].speaker SPEAKER_19
transcript.pyannote[3987].start 35573.81346875
transcript.pyannote[3987].end 35574.37034375
transcript.pyannote[3988].speaker SPEAKER_19
transcript.pyannote[3988].start 35574.77534375
transcript.pyannote[3988].end 35576.76659375
transcript.pyannote[3989].speaker SPEAKER_19
transcript.pyannote[3989].start 35577.45846875
transcript.pyannote[3989].end 35578.21784375
transcript.pyannote[3990].speaker SPEAKER_19
transcript.pyannote[3990].start 35578.53846875
transcript.pyannote[3990].end 35579.58471875
transcript.pyannote[3991].speaker SPEAKER_19
transcript.pyannote[3991].start 35579.95596875
transcript.pyannote[3991].end 35580.81659375
transcript.pyannote[3992].speaker SPEAKER_19
transcript.pyannote[3992].start 35581.30596875
transcript.pyannote[3992].end 35582.67284375
transcript.pyannote[3993].speaker SPEAKER_19
transcript.pyannote[3993].start 35583.12846875
transcript.pyannote[3993].end 35584.36034375
transcript.pyannote[3994].speaker SPEAKER_19
transcript.pyannote[3994].start 35585.50784375
transcript.pyannote[3994].end 35586.09846875
transcript.pyannote[3995].speaker SPEAKER_19
transcript.pyannote[3995].start 35586.63846875
transcript.pyannote[3995].end 35588.62971875
transcript.pyannote[3996].speaker SPEAKER_19
transcript.pyannote[3996].start 35588.71409375
transcript.pyannote[3996].end 35590.85721875
transcript.pyannote[3997].speaker SPEAKER_19
transcript.pyannote[3997].start 35591.73471875
transcript.pyannote[3997].end 35592.27471875
transcript.pyannote[3998].speaker SPEAKER_19
transcript.pyannote[3998].start 35592.93284375
transcript.pyannote[3998].end 35593.64159375
transcript.pyannote[3999].speaker SPEAKER_19
transcript.pyannote[3999].start 35594.01284375
transcript.pyannote[3999].end 35595.32909375
transcript.pyannote[4000].speaker SPEAKER_19
transcript.pyannote[4000].start 35595.97034375
transcript.pyannote[4000].end 35596.15596875
transcript.pyannote[4001].speaker SPEAKER_19
transcript.pyannote[4001].start 35596.74659375
transcript.pyannote[4001].end 35600.67846875
transcript.pyannote[4002].speaker SPEAKER_19
transcript.pyannote[4002].start 35600.98221875
transcript.pyannote[4002].end 35602.34909375
transcript.pyannote[4003].speaker SPEAKER_19
transcript.pyannote[4003].start 35602.77096875
transcript.pyannote[4003].end 35605.69034375
transcript.pyannote[4004].speaker SPEAKER_19
transcript.pyannote[4004].start 35605.79159375
transcript.pyannote[4004].end 35607.93471875
transcript.pyannote[4005].speaker SPEAKER_19
transcript.pyannote[4005].start 35608.32284375
transcript.pyannote[4005].end 35609.84159375
transcript.pyannote[4006].speaker SPEAKER_19
transcript.pyannote[4006].start 35610.14534375
transcript.pyannote[4006].end 35610.76971875
transcript.pyannote[4007].speaker SPEAKER_19
transcript.pyannote[4007].start 35611.03971875
transcript.pyannote[4007].end 35612.00159375
transcript.pyannote[4008].speaker SPEAKER_19
transcript.pyannote[4008].start 35612.17034375
transcript.pyannote[4008].end 35617.13159375
transcript.pyannote[4009].speaker SPEAKER_19
transcript.pyannote[4009].start 35617.33409375
transcript.pyannote[4009].end 35619.13971875
transcript.pyannote[4010].speaker SPEAKER_19
transcript.pyannote[4010].start 35619.79784375
transcript.pyannote[4010].end 35620.94534375
transcript.pyannote[4011].speaker SPEAKER_19
transcript.pyannote[4011].start 35621.43471875
transcript.pyannote[4011].end 35623.10534375
transcript.pyannote[4012].speaker SPEAKER_19
transcript.pyannote[4012].start 35623.29096875
transcript.pyannote[4012].end 35624.40471875
transcript.pyannote[4013].speaker SPEAKER_19
transcript.pyannote[4013].start 35624.80971875
transcript.pyannote[4013].end 35626.61534375
transcript.pyannote[4014].speaker SPEAKER_19
transcript.pyannote[4014].start 35626.80096875
transcript.pyannote[4014].end 35627.17221875
transcript.pyannote[4015].speaker SPEAKER_19
transcript.pyannote[4015].start 35627.32409375
transcript.pyannote[4015].end 35632.99409375
transcript.pyannote[4016].speaker SPEAKER_19
transcript.pyannote[4016].start 35633.51721875
transcript.pyannote[4016].end 35633.92221875
transcript.pyannote[4017].speaker SPEAKER_19
transcript.pyannote[4017].start 35634.59721875
transcript.pyannote[4017].end 35635.76159375
transcript.pyannote[4018].speaker SPEAKER_19
transcript.pyannote[4018].start 35636.09909375
transcript.pyannote[4018].end 35637.17909375
transcript.pyannote[4019].speaker SPEAKER_19
transcript.pyannote[4019].start 35637.34784375
transcript.pyannote[4019].end 35637.95534375
transcript.pyannote[4020].speaker SPEAKER_19
transcript.pyannote[4020].start 35639.11971875
transcript.pyannote[4020].end 35641.02659375
transcript.pyannote[4021].speaker SPEAKER_19
transcript.pyannote[4021].start 35641.26284375
transcript.pyannote[4021].end 35642.46096875
transcript.pyannote[4022].speaker SPEAKER_19
transcript.pyannote[4022].start 35642.68034375
transcript.pyannote[4022].end 35643.35534375
transcript.pyannote[4023].speaker SPEAKER_19
transcript.pyannote[4023].start 35643.70971875
transcript.pyannote[4023].end 35644.53659375
transcript.pyannote[4024].speaker SPEAKER_19
transcript.pyannote[4024].start 35644.90784375
transcript.pyannote[4024].end 35646.03846875
transcript.pyannote[4025].speaker SPEAKER_19
transcript.pyannote[4025].start 35646.27471875
transcript.pyannote[4025].end 35646.84846875
transcript.pyannote[4026].speaker SPEAKER_19
transcript.pyannote[4026].start 35647.08471875
transcript.pyannote[4026].end 35648.24909375
transcript.pyannote[4027].speaker SPEAKER_19
transcript.pyannote[4027].start 35648.45159375
transcript.pyannote[4027].end 35648.99159375
transcript.pyannote[4028].speaker SPEAKER_19
transcript.pyannote[4028].start 35649.10971875
transcript.pyannote[4028].end 35650.27409375
transcript.pyannote[4029].speaker SPEAKER_19
transcript.pyannote[4029].start 35651.08409375
transcript.pyannote[4029].end 35663.95971875
transcript.pyannote[4030].speaker SPEAKER_19
transcript.pyannote[4030].start 35664.38159375
transcript.pyannote[4030].end 35665.41096875
transcript.pyannote[4031].speaker SPEAKER_19
transcript.pyannote[4031].start 35665.59659375
transcript.pyannote[4031].end 35666.45721875
transcript.pyannote[4032].speaker SPEAKER_19
transcript.pyannote[4032].start 35666.82846875
transcript.pyannote[4032].end 35668.06034375
transcript.pyannote[4033].speaker SPEAKER_19
transcript.pyannote[4033].start 35668.39784375
transcript.pyannote[4033].end 35671.08096875
transcript.pyannote[4034].speaker SPEAKER_19
transcript.pyannote[4034].start 35671.35096875
transcript.pyannote[4034].end 35671.70534375
transcript.pyannote[4035].speaker SPEAKER_19
transcript.pyannote[4035].start 35672.09346875
transcript.pyannote[4035].end 35674.06784375
transcript.pyannote[4036].speaker SPEAKER_07
transcript.pyannote[4036].start 35674.06784375
transcript.pyannote[4036].end 35674.08471875
transcript.pyannote[4037].speaker SPEAKER_07
transcript.pyannote[4037].start 35675.56971875
transcript.pyannote[4037].end 35676.76784375
transcript.pyannote[4038].speaker SPEAKER_07
transcript.pyannote[4038].start 35677.37534375
transcript.pyannote[4038].end 35678.75909375
transcript.pyannote[4039].speaker SPEAKER_07
transcript.pyannote[4039].start 35679.11346875
transcript.pyannote[4039].end 35680.22721875
transcript.pyannote[4040].speaker SPEAKER_07
transcript.pyannote[4040].start 35680.86846875
transcript.pyannote[4040].end 35682.37034375
transcript.pyannote[4041].speaker SPEAKER_07
transcript.pyannote[4041].start 35682.57284375
transcript.pyannote[4041].end 35685.67784375
transcript.pyannote[4042].speaker SPEAKER_07
transcript.pyannote[4042].start 35685.93096875
transcript.pyannote[4042].end 35688.20909375
transcript.pyannote[4043].speaker SPEAKER_07
transcript.pyannote[4043].start 35688.56346875
transcript.pyannote[4043].end 35692.81596875
transcript.pyannote[4044].speaker SPEAKER_07
transcript.pyannote[4044].start 35693.06909375
transcript.pyannote[4044].end 35694.65534375
transcript.pyannote[4045].speaker SPEAKER_07
transcript.pyannote[4045].start 35694.79034375
transcript.pyannote[4045].end 35696.35971875
transcript.pyannote[4046].speaker SPEAKER_07
transcript.pyannote[4046].start 35696.73096875
transcript.pyannote[4046].end 35699.61659375
transcript.pyannote[4047].speaker SPEAKER_07
transcript.pyannote[4047].start 35699.80221875
transcript.pyannote[4047].end 35703.00846875
transcript.pyannote[4048].speaker SPEAKER_19
transcript.pyannote[4048].start 35703.00846875
transcript.pyannote[4048].end 35703.02534375
transcript.pyannote[4049].speaker SPEAKER_07
transcript.pyannote[4049].start 35703.34596875
transcript.pyannote[4049].end 35703.93659375
transcript.pyannote[4050].speaker SPEAKER_19
transcript.pyannote[4050].start 35703.93659375
transcript.pyannote[4050].end 35706.90659375
transcript.pyannote[4051].speaker SPEAKER_19
transcript.pyannote[4051].start 35707.26096875
transcript.pyannote[4051].end 35709.48846875
transcript.pyannote[4052].speaker SPEAKER_19
transcript.pyannote[4052].start 35709.69096875
transcript.pyannote[4052].end 35720.28846875
transcript.pyannote[4053].speaker SPEAKER_07
transcript.pyannote[4053].start 35717.14971875
transcript.pyannote[4053].end 35717.45346875
transcript.pyannote[4054].speaker SPEAKER_07
transcript.pyannote[4054].start 35719.27596875
transcript.pyannote[4054].end 35722.76909375
transcript.pyannote[4055].speaker SPEAKER_19
transcript.pyannote[4055].start 35722.75221875
transcript.pyannote[4055].end 35723.44409375
transcript.pyannote[4056].speaker SPEAKER_19
transcript.pyannote[4056].start 35723.79846875
transcript.pyannote[4056].end 35726.59971875
transcript.pyannote[4057].speaker SPEAKER_19
transcript.pyannote[4057].start 35726.90346875
transcript.pyannote[4057].end 35752.26659375
transcript.pyannote[4058].speaker SPEAKER_19
transcript.pyannote[4058].start 35752.68846875
transcript.pyannote[4058].end 35753.14409375
transcript.pyannote[4059].speaker SPEAKER_19
transcript.pyannote[4059].start 35753.29596875
transcript.pyannote[4059].end 35754.46034375
transcript.pyannote[4060].speaker SPEAKER_19
transcript.pyannote[4060].start 35756.92409375
transcript.pyannote[4060].end 35758.89846875
transcript.pyannote[4061].speaker SPEAKER_19
transcript.pyannote[4061].start 35759.01659375
transcript.pyannote[4061].end 35759.03346875
transcript.pyannote[4062].speaker SPEAKER_19
transcript.pyannote[4062].start 35759.06721875
transcript.pyannote[4062].end 35760.21471875
transcript.pyannote[4063].speaker SPEAKER_19
transcript.pyannote[4063].start 35760.46784375
transcript.pyannote[4063].end 35761.37909375
transcript.pyannote[4064].speaker SPEAKER_19
transcript.pyannote[4064].start 35762.34096875
transcript.pyannote[4064].end 35763.37034375
transcript.pyannote[4065].speaker SPEAKER_19
transcript.pyannote[4065].start 35763.70784375
transcript.pyannote[4065].end 35766.37409375
transcript.pyannote[4066].speaker SPEAKER_19
transcript.pyannote[4066].start 35766.71159375
transcript.pyannote[4066].end 35767.28534375
transcript.pyannote[4067].speaker SPEAKER_19
transcript.pyannote[4067].start 35767.48784375
transcript.pyannote[4067].end 35768.90534375
transcript.pyannote[4068].speaker SPEAKER_19
transcript.pyannote[4068].start 35769.96846875
transcript.pyannote[4068].end 35770.35659375
transcript.pyannote[4069].speaker SPEAKER_19
transcript.pyannote[4069].start 35771.08221875
transcript.pyannote[4069].end 35773.29284375
transcript.pyannote[4070].speaker SPEAKER_19
transcript.pyannote[4070].start 35773.88346875
transcript.pyannote[4070].end 35774.86221875
transcript.pyannote[4071].speaker SPEAKER_19
transcript.pyannote[4071].start 35775.06471875
transcript.pyannote[4071].end 35776.85346875
transcript.pyannote[4072].speaker SPEAKER_19
transcript.pyannote[4072].start 35777.30909375
transcript.pyannote[4072].end 35777.95034375
transcript.pyannote[4073].speaker SPEAKER_19
transcript.pyannote[4073].start 35778.13596875
transcript.pyannote[4073].end 35779.73909375
transcript.pyannote[4074].speaker SPEAKER_19
transcript.pyannote[4074].start 35780.51534375
transcript.pyannote[4074].end 35781.83159375
transcript.pyannote[4075].speaker SPEAKER_19
transcript.pyannote[4075].start 35782.43909375
transcript.pyannote[4075].end 35787.40034375
transcript.pyannote[4076].speaker SPEAKER_19
transcript.pyannote[4076].start 35787.65346875
transcript.pyannote[4076].end 35789.15534375
transcript.pyannote[4077].speaker SPEAKER_19
transcript.pyannote[4077].start 35789.20596875
transcript.pyannote[4077].end 35790.52221875
transcript.pyannote[4078].speaker SPEAKER_19
transcript.pyannote[4078].start 35790.64034375
transcript.pyannote[4078].end 35792.46284375
transcript.pyannote[4079].speaker SPEAKER_19
transcript.pyannote[4079].start 35792.63159375
transcript.pyannote[4079].end 35793.03659375
transcript.pyannote[4080].speaker SPEAKER_19
transcript.pyannote[4080].start 35793.42471875
transcript.pyannote[4080].end 35794.30221875
transcript.pyannote[4081].speaker SPEAKER_19
transcript.pyannote[4081].start 35794.65659375
transcript.pyannote[4081].end 35796.71534375
transcript.pyannote[4082].speaker SPEAKER_19
transcript.pyannote[4082].start 35797.06971875
transcript.pyannote[4082].end 35797.50846875
transcript.pyannote[4083].speaker SPEAKER_19
transcript.pyannote[4083].start 35798.26784375
transcript.pyannote[4083].end 35798.92596875
transcript.pyannote[4084].speaker SPEAKER_19
transcript.pyannote[4084].start 35800.00596875
transcript.pyannote[4084].end 35800.88346875
transcript.pyannote[4085].speaker SPEAKER_19
transcript.pyannote[4085].start 35801.35596875
transcript.pyannote[4085].end 35801.84534375
transcript.pyannote[4086].speaker SPEAKER_19
transcript.pyannote[4086].start 35802.26721875
transcript.pyannote[4086].end 35803.49909375
transcript.pyannote[4087].speaker SPEAKER_19
transcript.pyannote[4087].start 35804.02221875
transcript.pyannote[4087].end 35806.68846875
transcript.pyannote[4088].speaker SPEAKER_19
transcript.pyannote[4088].start 35807.04284375
transcript.pyannote[4088].end 35811.81846875
transcript.pyannote[4089].speaker SPEAKER_19
transcript.pyannote[4089].start 35812.05471875
transcript.pyannote[4089].end 35817.72471875
transcript.pyannote[4090].speaker SPEAKER_19
transcript.pyannote[4090].start 35818.12971875
transcript.pyannote[4090].end 35819.61471875
transcript.pyannote[4091].speaker SPEAKER_19
transcript.pyannote[4091].start 35820.32346875
transcript.pyannote[4091].end 35821.70721875
transcript.pyannote[4092].speaker SPEAKER_19
transcript.pyannote[4092].start 35821.84221875
transcript.pyannote[4092].end 35823.10784375
transcript.pyannote[4093].speaker SPEAKER_19
transcript.pyannote[4093].start 35823.74909375
transcript.pyannote[4093].end 35825.38596875
transcript.pyannote[4094].speaker SPEAKER_19
transcript.pyannote[4094].start 35825.90909375
transcript.pyannote[4094].end 35828.50784375
transcript.pyannote[4095].speaker SPEAKER_19
transcript.pyannote[4095].start 35828.92971875
transcript.pyannote[4095].end 35829.36846875
transcript.pyannote[4096].speaker SPEAKER_19
transcript.pyannote[4096].start 35829.75659375
transcript.pyannote[4096].end 35830.68471875
transcript.pyannote[4097].speaker SPEAKER_19
transcript.pyannote[4097].start 35831.15721875
transcript.pyannote[4097].end 35831.68034375
transcript.pyannote[4098].speaker SPEAKER_19
transcript.pyannote[4098].start 35831.98409375
transcript.pyannote[4098].end 35832.77721875
transcript.pyannote[4099].speaker SPEAKER_19
transcript.pyannote[4099].start 35833.99221875
transcript.pyannote[4099].end 35834.53221875
transcript.pyannote[4100].speaker SPEAKER_19
transcript.pyannote[4100].start 35834.80221875
transcript.pyannote[4100].end 35835.24096875
transcript.pyannote[4101].speaker SPEAKER_19
transcript.pyannote[4101].start 35835.34221875
transcript.pyannote[4101].end 35836.20284375
transcript.pyannote[4102].speaker SPEAKER_19
transcript.pyannote[4102].start 35836.42221875
transcript.pyannote[4102].end 35837.06346875
transcript.pyannote[4103].speaker SPEAKER_19
transcript.pyannote[4103].start 35837.51909375
transcript.pyannote[4103].end 35839.15596875
transcript.pyannote[4104].speaker SPEAKER_19
transcript.pyannote[4104].start 35839.54409375
transcript.pyannote[4104].end 35845.36596875
transcript.pyannote[4105].speaker SPEAKER_19
transcript.pyannote[4105].start 35845.38284375
transcript.pyannote[4105].end 35846.56409375
transcript.pyannote[4106].speaker SPEAKER_19
transcript.pyannote[4106].start 35846.96909375
transcript.pyannote[4106].end 35848.96034375
transcript.pyannote[4107].speaker SPEAKER_19
transcript.pyannote[4107].start 35849.48346875
transcript.pyannote[4107].end 35851.52534375
transcript.pyannote[4108].speaker SPEAKER_19
transcript.pyannote[4108].start 35851.82909375
transcript.pyannote[4108].end 35854.61346875
transcript.pyannote[4109].speaker SPEAKER_19
transcript.pyannote[4109].start 35854.69784375
transcript.pyannote[4109].end 35855.62596875
transcript.pyannote[4110].speaker SPEAKER_19
transcript.pyannote[4110].start 35855.77784375
transcript.pyannote[4110].end 35857.65096875
transcript.pyannote[4111].speaker SPEAKER_19
transcript.pyannote[4111].start 35857.81971875
transcript.pyannote[4111].end 35858.74784375
transcript.pyannote[4112].speaker SPEAKER_19
transcript.pyannote[4112].start 35859.11909375
transcript.pyannote[4112].end 35860.03034375
transcript.pyannote[4113].speaker SPEAKER_19
transcript.pyannote[4113].start 35860.08096875
transcript.pyannote[4113].end 35867.37096875
transcript.pyannote[4114].speaker SPEAKER_19
transcript.pyannote[4114].start 35867.67471875
transcript.pyannote[4114].end 35868.38346875
transcript.pyannote[4115].speaker SPEAKER_19
transcript.pyannote[4115].start 35868.63659375
transcript.pyannote[4115].end 35869.90221875
transcript.pyannote[4116].speaker SPEAKER_19
transcript.pyannote[4116].start 35871.67409375
transcript.pyannote[4116].end 35872.11284375
transcript.pyannote[4117].speaker SPEAKER_19
transcript.pyannote[4117].start 35872.58534375
transcript.pyannote[4117].end 35873.42909375
transcript.pyannote[4118].speaker SPEAKER_19
transcript.pyannote[4118].start 35874.39096875
transcript.pyannote[4118].end 35875.72409375
transcript.pyannote[4119].speaker SPEAKER_19
transcript.pyannote[4119].start 35876.46659375
transcript.pyannote[4119].end 35878.98096875
transcript.pyannote[4120].speaker SPEAKER_19
transcript.pyannote[4120].start 35879.35221875
transcript.pyannote[4120].end 35881.32659375
transcript.pyannote[4121].speaker SPEAKER_19
transcript.pyannote[4121].start 35881.52909375
transcript.pyannote[4121].end 35882.49096875
transcript.pyannote[4122].speaker SPEAKER_19
transcript.pyannote[4122].start 35882.77784375
transcript.pyannote[4122].end 35883.57096875
transcript.pyannote[4123].speaker SPEAKER_19
transcript.pyannote[4123].start 35884.71846875
transcript.pyannote[4123].end 35885.57909375
transcript.pyannote[4124].speaker SPEAKER_19
transcript.pyannote[4124].start 35886.30471875
transcript.pyannote[4124].end 35887.72221875
transcript.pyannote[4125].speaker SPEAKER_19
transcript.pyannote[4125].start 35888.19471875
transcript.pyannote[4125].end 35890.38846875
transcript.pyannote[4126].speaker SPEAKER_19
transcript.pyannote[4126].start 35890.79346875
transcript.pyannote[4126].end 35891.55284375
transcript.pyannote[4127].speaker SPEAKER_19
transcript.pyannote[4127].start 35891.90721875
transcript.pyannote[4127].end 35892.76784375
transcript.pyannote[4128].speaker SPEAKER_19
transcript.pyannote[4128].start 35893.03784375
transcript.pyannote[4128].end 35893.35846875
transcript.pyannote[4129].speaker SPEAKER_19
transcript.pyannote[4129].start 35893.79721875
transcript.pyannote[4129].end 35894.67471875
transcript.pyannote[4130].speaker SPEAKER_19
transcript.pyannote[4130].start 35895.09659375
transcript.pyannote[4130].end 35896.90221875
transcript.pyannote[4131].speaker SPEAKER_19
transcript.pyannote[4131].start 35897.57721875
transcript.pyannote[4131].end 35899.04534375
transcript.pyannote[4132].speaker SPEAKER_19
transcript.pyannote[4132].start 35899.39971875
transcript.pyannote[4132].end 35905.98096875
transcript.pyannote[4133].speaker SPEAKER_19
transcript.pyannote[4133].start 35906.36909375
transcript.pyannote[4133].end 35907.80346875
transcript.pyannote[4134].speaker SPEAKER_19
transcript.pyannote[4134].start 35908.34346875
transcript.pyannote[4134].end 35909.17034375
transcript.pyannote[4135].speaker SPEAKER_19
transcript.pyannote[4135].start 35909.57534375
transcript.pyannote[4135].end 35910.19971875
transcript.pyannote[4136].speaker SPEAKER_19
transcript.pyannote[4136].start 35911.97159375
transcript.pyannote[4136].end 35912.34284375
transcript.pyannote[4137].speaker SPEAKER_19
transcript.pyannote[4137].start 35912.89971875
transcript.pyannote[4137].end 35914.38471875
transcript.pyannote[4138].speaker SPEAKER_19
transcript.pyannote[4138].start 35914.51971875
transcript.pyannote[4138].end 35914.82346875
transcript.pyannote[4139].speaker SPEAKER_19
transcript.pyannote[4139].start 35916.71346875
transcript.pyannote[4139].end 35917.86096875
transcript.pyannote[4140].speaker SPEAKER_19
transcript.pyannote[4140].start 35918.41784375
transcript.pyannote[4140].end 35920.10534375
transcript.pyannote[4141].speaker SPEAKER_19
transcript.pyannote[4141].start 35920.57784375
transcript.pyannote[4141].end 35921.30346875
transcript.pyannote[4142].speaker SPEAKER_19
transcript.pyannote[4142].start 35921.48909375
transcript.pyannote[4142].end 35923.29471875
transcript.pyannote[4143].speaker SPEAKER_19
transcript.pyannote[4143].start 35923.93596875
transcript.pyannote[4143].end 35924.79659375
transcript.pyannote[4144].speaker SPEAKER_19
transcript.pyannote[4144].start 35924.94846875
transcript.pyannote[4144].end 35925.70784375
transcript.pyannote[4145].speaker SPEAKER_19
transcript.pyannote[4145].start 35926.04534375
transcript.pyannote[4145].end 35926.63596875
transcript.pyannote[4146].speaker SPEAKER_19
transcript.pyannote[4146].start 35927.05784375
transcript.pyannote[4146].end 35930.11221875
transcript.pyannote[4147].speaker SPEAKER_19
transcript.pyannote[4147].start 35930.31471875
transcript.pyannote[4147].end 35934.33096875
transcript.pyannote[4148].speaker SPEAKER_19
transcript.pyannote[4148].start 35934.80346875
transcript.pyannote[4148].end 35935.71471875
transcript.pyannote[4149].speaker SPEAKER_19
transcript.pyannote[4149].start 35936.50784375
transcript.pyannote[4149].end 35938.65096875
transcript.pyannote[4150].speaker SPEAKER_19
transcript.pyannote[4150].start 35938.95471875
transcript.pyannote[4150].end 35940.03471875
transcript.pyannote[4151].speaker SPEAKER_19
transcript.pyannote[4151].start 35940.13596875
transcript.pyannote[4151].end 35941.46909375
transcript.pyannote[4152].speaker SPEAKER_19
transcript.pyannote[4152].start 35941.65471875
transcript.pyannote[4152].end 35942.54909375
transcript.pyannote[4153].speaker SPEAKER_19
transcript.pyannote[4153].start 35943.02159375
transcript.pyannote[4153].end 35946.32909375
transcript.pyannote[4154].speaker SPEAKER_19
transcript.pyannote[4154].start 35946.48096875
transcript.pyannote[4154].end 35947.86471875
transcript.pyannote[4155].speaker SPEAKER_19
transcript.pyannote[4155].start 35948.43846875
transcript.pyannote[4155].end 35949.40034375
transcript.pyannote[4156].speaker SPEAKER_19
transcript.pyannote[4156].start 35949.85596875
transcript.pyannote[4156].end 35950.83471875
transcript.pyannote[4157].speaker SPEAKER_19
transcript.pyannote[4157].start 35951.22284375
transcript.pyannote[4157].end 35953.26471875
transcript.pyannote[4158].speaker SPEAKER_19
transcript.pyannote[4158].start 35953.75409375
transcript.pyannote[4158].end 35955.18846875
transcript.pyannote[4159].speaker SPEAKER_19
transcript.pyannote[4159].start 35955.45846875
transcript.pyannote[4159].end 35956.65659375
transcript.pyannote[4160].speaker SPEAKER_19
transcript.pyannote[4160].start 35957.24721875
transcript.pyannote[4160].end 35957.53409375
transcript.pyannote[4161].speaker SPEAKER_19
transcript.pyannote[4161].start 35957.95596875
transcript.pyannote[4161].end 35961.61784375
transcript.pyannote[4162].speaker SPEAKER_19
transcript.pyannote[4162].start 35962.29284375
transcript.pyannote[4162].end 35964.41909375
transcript.pyannote[4163].speaker SPEAKER_19
transcript.pyannote[4163].start 35964.53721875
transcript.pyannote[4163].end 35966.19096875
transcript.pyannote[4164].speaker SPEAKER_19
transcript.pyannote[4164].start 35966.49471875
transcript.pyannote[4164].end 35969.98784375
transcript.pyannote[4165].speaker SPEAKER_19
transcript.pyannote[4165].start 35971.11846875
transcript.pyannote[4165].end 35971.84409375
transcript.pyannote[4166].speaker SPEAKER_19
transcript.pyannote[4166].start 35972.75534375
transcript.pyannote[4166].end 35973.81846875
transcript.pyannote[4167].speaker SPEAKER_19
transcript.pyannote[4167].start 35974.10534375
transcript.pyannote[4167].end 35976.94034375
transcript.pyannote[4168].speaker SPEAKER_19
transcript.pyannote[4168].start 35977.10909375
transcript.pyannote[4168].end 35977.98659375
transcript.pyannote[4169].speaker SPEAKER_19
transcript.pyannote[4169].start 35978.22284375
transcript.pyannote[4169].end 35985.36096875
transcript.pyannote[4170].speaker SPEAKER_19
transcript.pyannote[4170].start 35985.93471875
transcript.pyannote[4170].end 35987.95971875
transcript.pyannote[4171].speaker SPEAKER_19
transcript.pyannote[4171].start 35989.30971875
transcript.pyannote[4171].end 35990.22096875
transcript.pyannote[4172].speaker SPEAKER_19
transcript.pyannote[4172].start 35991.23346875
transcript.pyannote[4172].end 35992.65096875
transcript.pyannote[4173].speaker SPEAKER_19
transcript.pyannote[4173].start 35993.98409375
transcript.pyannote[4173].end 35994.82784375
transcript.pyannote[4174].speaker SPEAKER_19
transcript.pyannote[4174].start 35995.40159375
transcript.pyannote[4174].end 35995.84034375
transcript.pyannote[4175].speaker SPEAKER_19
transcript.pyannote[4175].start 35995.99221875
transcript.pyannote[4175].end 35996.86971875
transcript.pyannote[4176].speaker SPEAKER_19
transcript.pyannote[4176].start 35997.19034375
transcript.pyannote[4176].end 35997.89909375
transcript.pyannote[4177].speaker SPEAKER_19
transcript.pyannote[4177].start 35999.02971875
transcript.pyannote[4177].end 36000.39659375
transcript.pyannote[4178].speaker SPEAKER_19
transcript.pyannote[4178].start 36000.58221875
transcript.pyannote[4178].end 36002.69159375
transcript.pyannote[4179].speaker SPEAKER_19
transcript.pyannote[4179].start 36003.46784375
transcript.pyannote[4179].end 36007.58534375
transcript.pyannote[4180].speaker SPEAKER_19
transcript.pyannote[4180].start 36008.78346875
transcript.pyannote[4180].end 36010.60596875
transcript.pyannote[4181].speaker SPEAKER_19
transcript.pyannote[4181].start 36011.26409375
transcript.pyannote[4181].end 36012.31034375
transcript.pyannote[4182].speaker SPEAKER_19
transcript.pyannote[4182].start 36013.52534375
transcript.pyannote[4182].end 36016.78221875
transcript.pyannote[4183].speaker SPEAKER_19
transcript.pyannote[4183].start 36016.93409375
transcript.pyannote[4183].end 36018.89159375
transcript.pyannote[4184].speaker SPEAKER_19
transcript.pyannote[4184].start 36019.46534375
transcript.pyannote[4184].end 36023.21159375
transcript.pyannote[4185].speaker SPEAKER_19
transcript.pyannote[4185].start 36024.02159375
transcript.pyannote[4185].end 36025.33784375
transcript.pyannote[4186].speaker SPEAKER_19
transcript.pyannote[4186].start 36025.69221875
transcript.pyannote[4186].end 36031.22721875
transcript.pyannote[4187].speaker SPEAKER_19
transcript.pyannote[4187].start 36031.44659375
transcript.pyannote[4187].end 36032.08784375
transcript.pyannote[4188].speaker SPEAKER_19
transcript.pyannote[4188].start 36032.17221875
transcript.pyannote[4188].end 36034.23096875
transcript.pyannote[4189].speaker SPEAKER_19
transcript.pyannote[4189].start 36034.46721875
transcript.pyannote[4189].end 36036.37409375
transcript.pyannote[4190].speaker SPEAKER_19
transcript.pyannote[4190].start 36036.59346875
transcript.pyannote[4190].end 36036.94784375
transcript.pyannote[4191].speaker SPEAKER_19
transcript.pyannote[4191].start 36037.65659375
transcript.pyannote[4191].end 36038.16284375
transcript.pyannote[4192].speaker SPEAKER_19
transcript.pyannote[4192].start 36039.24284375
transcript.pyannote[4192].end 36040.84596875
transcript.pyannote[4193].speaker SPEAKER_19
transcript.pyannote[4193].start 36041.60534375
transcript.pyannote[4193].end 36042.09471875
transcript.pyannote[4194].speaker SPEAKER_19
transcript.pyannote[4194].start 36042.38159375
transcript.pyannote[4194].end 36043.51221875
transcript.pyannote[4195].speaker SPEAKER_19
transcript.pyannote[4195].start 36043.96784375
transcript.pyannote[4195].end 36044.96346875
transcript.pyannote[4196].speaker SPEAKER_19
transcript.pyannote[4196].start 36045.18284375
transcript.pyannote[4196].end 36046.22909375
transcript.pyannote[4197].speaker SPEAKER_19
transcript.pyannote[4197].start 36046.68471875
transcript.pyannote[4197].end 36049.48596875
transcript.pyannote[4198].speaker SPEAKER_19
transcript.pyannote[4198].start 36049.80659375
transcript.pyannote[4198].end 36051.32534375
transcript.pyannote[4199].speaker SPEAKER_19
transcript.pyannote[4199].start 36051.79784375
transcript.pyannote[4199].end 36053.43471875
transcript.pyannote[4200].speaker SPEAKER_19
transcript.pyannote[4200].start 36053.53596875
transcript.pyannote[4200].end 36054.78471875
transcript.pyannote[4201].speaker SPEAKER_19
transcript.pyannote[4201].start 36055.27409375
transcript.pyannote[4201].end 36064.16721875
transcript.pyannote[4202].speaker SPEAKER_19
transcript.pyannote[4202].start 36064.67346875
transcript.pyannote[4202].end 36066.54659375
transcript.pyannote[4203].speaker SPEAKER_19
transcript.pyannote[4203].start 36068.06534375
transcript.pyannote[4203].end 36069.31409375
transcript.pyannote[4204].speaker SPEAKER_19
transcript.pyannote[4204].start 36069.41534375
transcript.pyannote[4204].end 36070.69784375
transcript.pyannote[4205].speaker SPEAKER_19
transcript.pyannote[4205].start 36071.44034375
transcript.pyannote[4205].end 36071.47409375
transcript.pyannote[4206].speaker SPEAKER_07
transcript.pyannote[4206].start 36071.47409375
transcript.pyannote[4206].end 36071.59221875
transcript.pyannote[4207].speaker SPEAKER_19
transcript.pyannote[4207].start 36071.59221875
transcript.pyannote[4207].end 36071.69346875
transcript.pyannote[4208].speaker SPEAKER_07
transcript.pyannote[4208].start 36071.69346875
transcript.pyannote[4208].end 36072.14909375
transcript.pyannote[4209].speaker SPEAKER_07
transcript.pyannote[4209].start 36072.73971875
transcript.pyannote[4209].end 36075.28784375
transcript.pyannote[4210].speaker SPEAKER_07
transcript.pyannote[4210].start 36075.76034375
transcript.pyannote[4210].end 36076.19909375
transcript.pyannote[4211].speaker SPEAKER_07
transcript.pyannote[4211].start 36076.57034375
transcript.pyannote[4211].end 36077.29596875
transcript.pyannote[4212].speaker SPEAKER_07
transcript.pyannote[4212].start 36077.59971875
transcript.pyannote[4212].end 36079.91159375
transcript.pyannote[4213].speaker SPEAKER_07
transcript.pyannote[4213].start 36080.28284375
transcript.pyannote[4213].end 36081.83534375
transcript.pyannote[4214].speaker SPEAKER_07
transcript.pyannote[4214].start 36082.27409375
transcript.pyannote[4214].end 36084.80534375
transcript.pyannote[4215].speaker SPEAKER_07
transcript.pyannote[4215].start 36085.10909375
transcript.pyannote[4215].end 36088.06221875
transcript.pyannote[4216].speaker SPEAKER_07
transcript.pyannote[4216].start 36088.38284375
transcript.pyannote[4216].end 36090.18846875
transcript.pyannote[4217].speaker SPEAKER_06
transcript.pyannote[4217].start 36090.76221875
transcript.pyannote[4217].end 36090.99846875
transcript.pyannote[4218].speaker SPEAKER_07
transcript.pyannote[4218].start 36090.99846875
transcript.pyannote[4218].end 36095.03159375
transcript.pyannote[4219].speaker SPEAKER_07
transcript.pyannote[4219].start 36095.45346875
transcript.pyannote[4219].end 36097.83284375
transcript.pyannote[4220].speaker SPEAKER_07
transcript.pyannote[4220].start 36097.93409375
transcript.pyannote[4220].end 36100.27971875
transcript.pyannote[4221].speaker SPEAKER_07
transcript.pyannote[4221].start 36100.68471875
transcript.pyannote[4221].end 36105.03846875
transcript.pyannote[4222].speaker SPEAKER_19
transcript.pyannote[4222].start 36101.49471875
transcript.pyannote[4222].end 36102.01784375
transcript.pyannote[4223].speaker SPEAKER_19
transcript.pyannote[4223].start 36105.03846875
transcript.pyannote[4223].end 36105.13971875
transcript.pyannote[4224].speaker SPEAKER_07
transcript.pyannote[4224].start 36105.13971875
transcript.pyannote[4224].end 36105.94971875
transcript.pyannote[4225].speaker SPEAKER_07
transcript.pyannote[4225].start 36106.32096875
transcript.pyannote[4225].end 36106.37159375
transcript.pyannote[4226].speaker SPEAKER_19
transcript.pyannote[4226].start 36106.37159375
transcript.pyannote[4226].end 36108.27846875
transcript.pyannote[4227].speaker SPEAKER_19
transcript.pyannote[4227].start 36108.71721875
transcript.pyannote[4227].end 36111.14721875
transcript.pyannote[4228].speaker SPEAKER_19
transcript.pyannote[4228].start 36111.40034375
transcript.pyannote[4228].end 36118.03221875
transcript.pyannote[4229].speaker SPEAKER_07
transcript.pyannote[4229].start 36113.77971875
transcript.pyannote[4229].end 36114.67409375
transcript.pyannote[4230].speaker SPEAKER_00
transcript.pyannote[4230].start 36114.67409375
transcript.pyannote[4230].end 36114.85971875
transcript.pyannote[4231].speaker SPEAKER_07
transcript.pyannote[4231].start 36114.85971875
transcript.pyannote[4231].end 36115.01159375
transcript.pyannote[4232].speaker SPEAKER_00
transcript.pyannote[4232].start 36115.01159375
transcript.pyannote[4232].end 36115.04534375
transcript.pyannote[4233].speaker SPEAKER_19
transcript.pyannote[4233].start 36118.55534375
transcript.pyannote[4233].end 36119.58471875
transcript.pyannote[4234].speaker SPEAKER_19
transcript.pyannote[4234].start 36120.15846875
transcript.pyannote[4234].end 36120.93471875
transcript.pyannote[4235].speaker SPEAKER_19
transcript.pyannote[4235].start 36122.20034375
transcript.pyannote[4235].end 36123.51659375
transcript.pyannote[4236].speaker SPEAKER_19
transcript.pyannote[4236].start 36123.93846875
transcript.pyannote[4236].end 36125.89596875
transcript.pyannote[4237].speaker SPEAKER_19
transcript.pyannote[4237].start 36126.26721875
transcript.pyannote[4237].end 36129.47346875
transcript.pyannote[4238].speaker SPEAKER_19
transcript.pyannote[4238].start 36130.08096875
transcript.pyannote[4238].end 36131.95409375
transcript.pyannote[4239].speaker SPEAKER_19
transcript.pyannote[4239].start 36132.35909375
transcript.pyannote[4239].end 36133.62471875
transcript.pyannote[4240].speaker SPEAKER_19
transcript.pyannote[4240].start 36133.81034375
transcript.pyannote[4240].end 36134.23221875
transcript.pyannote[4241].speaker SPEAKER_19
transcript.pyannote[4241].start 36134.48534375
transcript.pyannote[4241].end 36135.76784375
transcript.pyannote[4242].speaker SPEAKER_19
transcript.pyannote[4242].start 36136.03784375
transcript.pyannote[4242].end 36137.77596875
transcript.pyannote[4243].speaker SPEAKER_19
transcript.pyannote[4243].start 36138.29909375
transcript.pyannote[4243].end 36140.69534375
transcript.pyannote[4244].speaker SPEAKER_19
transcript.pyannote[4244].start 36140.96534375
transcript.pyannote[4244].end 36144.07034375
transcript.pyannote[4245].speaker SPEAKER_19
transcript.pyannote[4245].start 36144.22221875
transcript.pyannote[4245].end 36144.74534375
transcript.pyannote[4246].speaker SPEAKER_19
transcript.pyannote[4246].start 36145.09971875
transcript.pyannote[4246].end 36146.26409375
transcript.pyannote[4247].speaker SPEAKER_19
transcript.pyannote[4247].start 36146.68596875
transcript.pyannote[4247].end 36147.73221875
transcript.pyannote[4248].speaker SPEAKER_19
transcript.pyannote[4248].start 36148.15409375
transcript.pyannote[4248].end 36149.40284375
transcript.pyannote[4249].speaker SPEAKER_19
transcript.pyannote[4249].start 36149.63909375
transcript.pyannote[4249].end 36151.15784375
transcript.pyannote[4250].speaker SPEAKER_19
transcript.pyannote[4250].start 36151.56284375
transcript.pyannote[4250].end 36152.01846875
transcript.pyannote[4251].speaker SPEAKER_19
transcript.pyannote[4251].start 36152.42346875
transcript.pyannote[4251].end 36153.23346875
transcript.pyannote[4252].speaker SPEAKER_19
transcript.pyannote[4252].start 36153.57096875
transcript.pyannote[4252].end 36155.03909375
transcript.pyannote[4253].speaker SPEAKER_19
transcript.pyannote[4253].start 36155.30909375
transcript.pyannote[4253].end 36156.25409375
transcript.pyannote[4254].speaker SPEAKER_19
transcript.pyannote[4254].start 36156.42284375
transcript.pyannote[4254].end 36157.30034375
transcript.pyannote[4255].speaker SPEAKER_19
transcript.pyannote[4255].start 36157.55346875
transcript.pyannote[4255].end 36157.90784375
transcript.pyannote[4256].speaker SPEAKER_19
transcript.pyannote[4256].start 36158.26221875
transcript.pyannote[4256].end 36159.71346875
transcript.pyannote[4257].speaker SPEAKER_19
transcript.pyannote[4257].start 36160.10159375
transcript.pyannote[4257].end 36161.35034375
transcript.pyannote[4258].speaker SPEAKER_19
transcript.pyannote[4258].start 36161.75534375
transcript.pyannote[4258].end 36162.56534375
transcript.pyannote[4259].speaker SPEAKER_19
transcript.pyannote[4259].start 36163.05471875
transcript.pyannote[4259].end 36165.29909375
transcript.pyannote[4260].speaker SPEAKER_19
transcript.pyannote[4260].start 36165.80534375
transcript.pyannote[4260].end 36167.93159375
transcript.pyannote[4261].speaker SPEAKER_19
transcript.pyannote[4261].start 36168.16784375
transcript.pyannote[4261].end 36171.01971875
transcript.pyannote[4262].speaker SPEAKER_19
transcript.pyannote[4262].start 36171.52596875
transcript.pyannote[4262].end 36172.38659375
transcript.pyannote[4263].speaker SPEAKER_19
transcript.pyannote[4263].start 36172.75784375
transcript.pyannote[4263].end 36174.09096875
transcript.pyannote[4264].speaker SPEAKER_19
transcript.pyannote[4264].start 36174.81659375
transcript.pyannote[4264].end 36176.09909375
transcript.pyannote[4265].speaker SPEAKER_19
transcript.pyannote[4265].start 36176.41971875
transcript.pyannote[4265].end 36176.74034375
transcript.pyannote[4266].speaker SPEAKER_19
transcript.pyannote[4266].start 36177.11159375
transcript.pyannote[4266].end 36178.91721875
transcript.pyannote[4267].speaker SPEAKER_19
transcript.pyannote[4267].start 36179.40659375
transcript.pyannote[4267].end 36181.73534375
transcript.pyannote[4268].speaker SPEAKER_19
transcript.pyannote[4268].start 36181.76909375
transcript.pyannote[4268].end 36182.93346875
transcript.pyannote[4269].speaker SPEAKER_19
transcript.pyannote[4269].start 36183.13596875
transcript.pyannote[4269].end 36185.09346875
transcript.pyannote[4270].speaker SPEAKER_19
transcript.pyannote[4270].start 36185.26221875
transcript.pyannote[4270].end 36187.33784375
transcript.pyannote[4271].speaker SPEAKER_25
transcript.pyannote[4271].start 36187.33784375
transcript.pyannote[4271].end 36187.47284375
transcript.pyannote[4272].speaker SPEAKER_19
transcript.pyannote[4272].start 36187.43909375
transcript.pyannote[4272].end 36188.43471875
transcript.pyannote[4273].speaker SPEAKER_25
transcript.pyannote[4273].start 36187.48971875
transcript.pyannote[4273].end 36187.50659375
transcript.pyannote[4274].speaker SPEAKER_19
transcript.pyannote[4274].start 36189.00846875
transcript.pyannote[4274].end 36190.67909375
transcript.pyannote[4275].speaker SPEAKER_19
transcript.pyannote[4275].start 36191.15159375
transcript.pyannote[4275].end 36194.56034375
transcript.pyannote[4276].speaker SPEAKER_19
transcript.pyannote[4276].start 36194.96534375
transcript.pyannote[4276].end 36198.74534375
transcript.pyannote[4277].speaker SPEAKER_19
transcript.pyannote[4277].start 36199.48784375
transcript.pyannote[4277].end 36202.69409375
transcript.pyannote[4278].speaker SPEAKER_19
transcript.pyannote[4278].start 36202.99784375
transcript.pyannote[4278].end 36203.52096875
transcript.pyannote[4279].speaker SPEAKER_19
transcript.pyannote[4279].start 36203.77409375
transcript.pyannote[4279].end 36204.56721875
transcript.pyannote[4280].speaker SPEAKER_19
transcript.pyannote[4280].start 36204.78659375
transcript.pyannote[4280].end 36206.08596875
transcript.pyannote[4281].speaker SPEAKER_19
transcript.pyannote[4281].start 36206.32221875
transcript.pyannote[4281].end 36207.14909375
transcript.pyannote[4282].speaker SPEAKER_19
transcript.pyannote[4282].start 36207.30096875
transcript.pyannote[4282].end 36208.33034375
transcript.pyannote[4283].speaker SPEAKER_19
transcript.pyannote[4283].start 36208.58346875
transcript.pyannote[4283].end 36214.06784375
transcript.pyannote[4284].speaker SPEAKER_19
transcript.pyannote[4284].start 36214.50659375
transcript.pyannote[4284].end 36216.63284375
transcript.pyannote[4285].speaker SPEAKER_19
transcript.pyannote[4285].start 36216.80159375
transcript.pyannote[4285].end 36217.51034375
transcript.pyannote[4286].speaker SPEAKER_19
transcript.pyannote[4286].start 36217.88159375
transcript.pyannote[4286].end 36220.07534375
transcript.pyannote[4287].speaker SPEAKER_19
transcript.pyannote[4287].start 36220.36221875
transcript.pyannote[4287].end 36225.64409375
transcript.pyannote[4288].speaker SPEAKER_19
transcript.pyannote[4288].start 36225.96471875
transcript.pyannote[4288].end 36226.75784375
transcript.pyannote[4289].speaker SPEAKER_19
transcript.pyannote[4289].start 36226.87596875
transcript.pyannote[4289].end 36227.53409375
transcript.pyannote[4290].speaker SPEAKER_19
transcript.pyannote[4290].start 36228.37784375
transcript.pyannote[4290].end 36231.29721875
transcript.pyannote[4291].speaker SPEAKER_19
transcript.pyannote[4291].start 36231.78659375
transcript.pyannote[4291].end 36234.28409375
transcript.pyannote[4292].speaker SPEAKER_19
transcript.pyannote[4292].start 36234.90846875
transcript.pyannote[4292].end 36235.66784375
transcript.pyannote[4293].speaker SPEAKER_19
transcript.pyannote[4293].start 36235.85346875
transcript.pyannote[4293].end 36236.44409375
transcript.pyannote[4294].speaker SPEAKER_19
transcript.pyannote[4294].start 36236.88284375
transcript.pyannote[4294].end 36237.47346875
transcript.pyannote[4295].speaker SPEAKER_19
transcript.pyannote[4295].start 36237.91221875
transcript.pyannote[4295].end 36240.35909375
transcript.pyannote[4296].speaker SPEAKER_19
transcript.pyannote[4296].start 36240.39284375
transcript.pyannote[4296].end 36245.47221875
transcript.pyannote[4297].speaker SPEAKER_19
transcript.pyannote[4297].start 36245.86034375
transcript.pyannote[4297].end 36250.46721875
transcript.pyannote[4298].speaker SPEAKER_19
transcript.pyannote[4298].start 36251.02409375
transcript.pyannote[4298].end 36254.19659375
transcript.pyannote[4299].speaker SPEAKER_19
transcript.pyannote[4299].start 36254.58471875
transcript.pyannote[4299].end 36255.90096875
transcript.pyannote[4300].speaker SPEAKER_19
transcript.pyannote[4300].start 36256.39034375
transcript.pyannote[4300].end 36257.85846875
transcript.pyannote[4301].speaker SPEAKER_19
transcript.pyannote[4301].start 36258.22971875
transcript.pyannote[4301].end 36259.90034375
transcript.pyannote[4302].speaker SPEAKER_19
transcript.pyannote[4302].start 36260.18721875
transcript.pyannote[4302].end 36260.99721875
transcript.pyannote[4303].speaker SPEAKER_19
transcript.pyannote[4303].start 36261.40221875
transcript.pyannote[4303].end 36266.54909375
transcript.pyannote[4304].speaker SPEAKER_19
transcript.pyannote[4304].start 36266.83596875
transcript.pyannote[4304].end 36268.89471875
transcript.pyannote[4305].speaker SPEAKER_19
transcript.pyannote[4305].start 36269.26596875
transcript.pyannote[4305].end 36270.59909375
transcript.pyannote[4306].speaker SPEAKER_19
transcript.pyannote[4306].start 36271.08846875
transcript.pyannote[4306].end 36280.03221875
transcript.pyannote[4307].speaker SPEAKER_19
transcript.pyannote[4307].start 36280.18409375
transcript.pyannote[4307].end 36282.02346875
transcript.pyannote[4308].speaker SPEAKER_19
transcript.pyannote[4308].start 36282.29346875
transcript.pyannote[4308].end 36283.12034375
transcript.pyannote[4309].speaker SPEAKER_19
transcript.pyannote[4309].start 36283.67721875
transcript.pyannote[4309].end 36285.02721875
transcript.pyannote[4310].speaker SPEAKER_19
transcript.pyannote[4310].start 36286.61346875
transcript.pyannote[4310].end 36288.84096875
transcript.pyannote[4311].speaker SPEAKER_19
transcript.pyannote[4311].start 36289.16159375
transcript.pyannote[4311].end 36291.42284375
transcript.pyannote[4312].speaker SPEAKER_19
transcript.pyannote[4312].start 36291.87846875
transcript.pyannote[4312].end 36292.55346875
transcript.pyannote[4313].speaker SPEAKER_19
transcript.pyannote[4313].start 36293.16096875
transcript.pyannote[4313].end 36293.41409375
transcript.pyannote[4314].speaker SPEAKER_19
transcript.pyannote[4314].start 36293.70096875
transcript.pyannote[4314].end 36294.52784375
transcript.pyannote[4315].speaker SPEAKER_19
transcript.pyannote[4315].start 36294.69659375
transcript.pyannote[4315].end 36295.20284375
transcript.pyannote[4316].speaker SPEAKER_19
transcript.pyannote[4316].start 36295.43909375
transcript.pyannote[4316].end 36297.19409375
transcript.pyannote[4317].speaker SPEAKER_19
transcript.pyannote[4317].start 36297.61596875
transcript.pyannote[4317].end 36298.49346875
transcript.pyannote[4318].speaker SPEAKER_19
transcript.pyannote[4318].start 36298.94909375
transcript.pyannote[4318].end 36299.30346875
transcript.pyannote[4319].speaker SPEAKER_19
transcript.pyannote[4319].start 36299.86034375
transcript.pyannote[4319].end 36300.40034375
transcript.pyannote[4320].speaker SPEAKER_19
transcript.pyannote[4320].start 36300.80534375
transcript.pyannote[4320].end 36301.58159375
transcript.pyannote[4321].speaker SPEAKER_19
transcript.pyannote[4321].start 36302.07096875
transcript.pyannote[4321].end 36302.37471875
transcript.pyannote[4322].speaker SPEAKER_19
transcript.pyannote[4322].start 36302.79659375
transcript.pyannote[4322].end 36303.85971875
transcript.pyannote[4323].speaker SPEAKER_19
transcript.pyannote[4323].start 36304.19721875
transcript.pyannote[4323].end 36305.02409375
transcript.pyannote[4324].speaker SPEAKER_19
transcript.pyannote[4324].start 36305.36159375
transcript.pyannote[4324].end 36309.31034375
transcript.pyannote[4325].speaker SPEAKER_19
transcript.pyannote[4325].start 36309.56346875
transcript.pyannote[4325].end 36310.15409375
transcript.pyannote[4326].speaker SPEAKER_19
transcript.pyannote[4326].start 36310.35659375
transcript.pyannote[4326].end 36312.48284375
transcript.pyannote[4327].speaker SPEAKER_19
transcript.pyannote[4327].start 36312.75284375
transcript.pyannote[4327].end 36313.44471875
transcript.pyannote[4328].speaker SPEAKER_19
transcript.pyannote[4328].start 36313.69784375
transcript.pyannote[4328].end 36315.65534375
transcript.pyannote[4329].speaker SPEAKER_19
transcript.pyannote[4329].start 36316.07721875
transcript.pyannote[4329].end 36317.20784375
transcript.pyannote[4330].speaker SPEAKER_19
transcript.pyannote[4330].start 36317.74784375
transcript.pyannote[4330].end 36319.45221875
transcript.pyannote[4331].speaker SPEAKER_19
transcript.pyannote[4331].start 36319.65471875
transcript.pyannote[4331].end 36321.35909375
transcript.pyannote[4332].speaker SPEAKER_19
transcript.pyannote[4332].start 36321.73034375
transcript.pyannote[4332].end 36322.01721875
transcript.pyannote[4333].speaker SPEAKER_19
transcript.pyannote[4333].start 36322.50659375
transcript.pyannote[4333].end 36326.42159375
transcript.pyannote[4334].speaker SPEAKER_19
transcript.pyannote[4334].start 36326.94471875
transcript.pyannote[4334].end 36327.56909375
transcript.pyannote[4335].speaker SPEAKER_19
transcript.pyannote[4335].start 36328.02471875
transcript.pyannote[4335].end 36328.96971875
transcript.pyannote[4336].speaker SPEAKER_17
transcript.pyannote[4336].start 36328.96971875
transcript.pyannote[4336].end 36328.98659375
transcript.pyannote[4337].speaker SPEAKER_19
transcript.pyannote[4337].start 36329.42534375
transcript.pyannote[4337].end 36330.03284375
transcript.pyannote[4338].speaker SPEAKER_17
transcript.pyannote[4338].start 36330.03284375
transcript.pyannote[4338].end 36334.48784375
transcript.pyannote[4339].speaker SPEAKER_17
transcript.pyannote[4339].start 36334.90971875
transcript.pyannote[4339].end 36341.67659375
transcript.pyannote[4340].speaker SPEAKER_17
transcript.pyannote[4340].start 36342.36846875
transcript.pyannote[4340].end 36345.54096875
transcript.pyannote[4341].speaker SPEAKER_19
transcript.pyannote[4341].start 36344.98409375
transcript.pyannote[4341].end 36345.32159375
transcript.pyannote[4342].speaker SPEAKER_17
transcript.pyannote[4342].start 36346.13159375
transcript.pyannote[4342].end 36347.68409375
transcript.pyannote[4343].speaker SPEAKER_19
transcript.pyannote[4343].start 36347.07659375
transcript.pyannote[4343].end 36349.47284375
transcript.pyannote[4344].speaker SPEAKER_16
transcript.pyannote[4344].start 36349.47284375
transcript.pyannote[4344].end 36349.48971875
transcript.pyannote[4345].speaker SPEAKER_17
transcript.pyannote[4345].start 36349.59096875
transcript.pyannote[4345].end 36349.96221875
transcript.pyannote[4346].speaker SPEAKER_07
transcript.pyannote[4346].start 36349.96221875
transcript.pyannote[4346].end 36350.02971875
transcript.pyannote[4347].speaker SPEAKER_19
transcript.pyannote[4347].start 36350.02971875
transcript.pyannote[4347].end 36352.71284375
transcript.pyannote[4348].speaker SPEAKER_07
transcript.pyannote[4348].start 36352.71284375
transcript.pyannote[4348].end 36352.81409375
transcript.pyannote[4349].speaker SPEAKER_19
transcript.pyannote[4349].start 36352.81409375
transcript.pyannote[4349].end 36352.86471875
transcript.pyannote[4350].speaker SPEAKER_07
transcript.pyannote[4350].start 36352.86471875
transcript.pyannote[4350].end 36355.46346875
transcript.pyannote[4351].speaker SPEAKER_19
transcript.pyannote[4351].start 36352.88159375
transcript.pyannote[4351].end 36353.48909375
transcript.pyannote[4352].speaker SPEAKER_07
transcript.pyannote[4352].start 36355.76721875
transcript.pyannote[4352].end 36357.55596875
transcript.pyannote[4353].speaker SPEAKER_07
transcript.pyannote[4353].start 36357.96096875
transcript.pyannote[4353].end 36359.91846875
transcript.pyannote[4354].speaker SPEAKER_07
transcript.pyannote[4354].start 36360.22221875
transcript.pyannote[4354].end 36363.25971875
transcript.pyannote[4355].speaker SPEAKER_07
transcript.pyannote[4355].start 36363.64784375
transcript.pyannote[4355].end 36369.03096875
transcript.pyannote[4356].speaker SPEAKER_07
transcript.pyannote[4356].start 36369.40221875
transcript.pyannote[4356].end 36371.73096875
transcript.pyannote[4357].speaker SPEAKER_07
transcript.pyannote[4357].start 36371.96721875
transcript.pyannote[4357].end 36375.22409375
transcript.pyannote[4358].speaker SPEAKER_07
transcript.pyannote[4358].start 36375.52784375
transcript.pyannote[4358].end 36378.21096875
transcript.pyannote[4359].speaker SPEAKER_07
transcript.pyannote[4359].start 36378.41346875
transcript.pyannote[4359].end 36380.87721875
transcript.pyannote[4360].speaker SPEAKER_07
transcript.pyannote[4360].start 36381.04596875
transcript.pyannote[4360].end 36381.94034375
transcript.pyannote[4361].speaker SPEAKER_07
transcript.pyannote[4361].start 36381.97409375
transcript.pyannote[4361].end 36381.99096875
transcript.pyannote[4362].speaker SPEAKER_19
transcript.pyannote[4362].start 36382.68284375
transcript.pyannote[4362].end 36402.42659375
transcript.pyannote[4363].speaker SPEAKER_07
transcript.pyannote[4363].start 36382.80096875
transcript.pyannote[4363].end 36384.21846875
transcript.pyannote[4364].speaker SPEAKER_07
transcript.pyannote[4364].start 36401.92034375
transcript.pyannote[4364].end 36405.71721875
transcript.pyannote[4365].speaker SPEAKER_19
transcript.pyannote[4365].start 36404.28284375
transcript.pyannote[4365].end 36411.01596875
transcript.pyannote[4366].speaker SPEAKER_07
transcript.pyannote[4366].start 36405.76784375
transcript.pyannote[4366].end 36405.95346875
transcript.pyannote[4367].speaker SPEAKER_07
transcript.pyannote[4367].start 36405.97034375
transcript.pyannote[4367].end 36405.98721875
transcript.pyannote[4368].speaker SPEAKER_19
transcript.pyannote[4368].start 36411.55596875
transcript.pyannote[4368].end 36412.24784375
transcript.pyannote[4369].speaker SPEAKER_19
transcript.pyannote[4369].start 36412.90596875
transcript.pyannote[4369].end 36415.33596875
transcript.pyannote[4370].speaker SPEAKER_19
transcript.pyannote[4370].start 36415.60596875
transcript.pyannote[4370].end 36417.71534375
transcript.pyannote[4371].speaker SPEAKER_19
transcript.pyannote[4371].start 36418.17096875
transcript.pyannote[4371].end 36419.14971875
transcript.pyannote[4372].speaker SPEAKER_19
transcript.pyannote[4372].start 36419.33534375
transcript.pyannote[4372].end 36421.56284375
transcript.pyannote[4373].speaker SPEAKER_19
transcript.pyannote[4373].start 36421.83284375
transcript.pyannote[4373].end 36422.40659375
transcript.pyannote[4374].speaker SPEAKER_19
transcript.pyannote[4374].start 36422.57534375
transcript.pyannote[4374].end 36422.99721875
transcript.pyannote[4375].speaker SPEAKER_19
transcript.pyannote[4375].start 36423.28409375
transcript.pyannote[4375].end 36427.78971875
transcript.pyannote[4376].speaker SPEAKER_19
transcript.pyannote[4376].start 36427.89096875
transcript.pyannote[4376].end 36429.93284375
transcript.pyannote[4377].speaker SPEAKER_19
transcript.pyannote[4377].start 36430.23659375
transcript.pyannote[4377].end 36431.18159375
transcript.pyannote[4378].speaker SPEAKER_19
transcript.pyannote[4378].start 36431.99159375
transcript.pyannote[4378].end 36432.81846875
transcript.pyannote[4379].speaker SPEAKER_19
transcript.pyannote[4379].start 36433.34159375
transcript.pyannote[4379].end 36434.48909375
transcript.pyannote[4380].speaker SPEAKER_19
transcript.pyannote[4380].start 36434.82659375
transcript.pyannote[4380].end 36435.48471875
transcript.pyannote[4381].speaker SPEAKER_19
transcript.pyannote[4381].start 36435.58596875
transcript.pyannote[4381].end 36438.65721875
transcript.pyannote[4382].speaker SPEAKER_19
transcript.pyannote[4382].start 36438.85971875
transcript.pyannote[4382].end 36442.69034375
transcript.pyannote[4383].speaker SPEAKER_19
transcript.pyannote[4383].start 36443.12909375
transcript.pyannote[4383].end 36444.86721875
transcript.pyannote[4384].speaker SPEAKER_19
transcript.pyannote[4384].start 36445.45784375
transcript.pyannote[4384].end 36446.87534375
transcript.pyannote[4385].speaker SPEAKER_19
transcript.pyannote[4385].start 36446.95971875
transcript.pyannote[4385].end 36448.78221875
transcript.pyannote[4386].speaker SPEAKER_19
transcript.pyannote[4386].start 36448.93409375
transcript.pyannote[4386].end 36450.67221875
transcript.pyannote[4387].speaker SPEAKER_19
transcript.pyannote[4387].start 36451.04346875
transcript.pyannote[4387].end 36452.52846875
transcript.pyannote[4388].speaker SPEAKER_19
transcript.pyannote[4388].start 36452.81534375
transcript.pyannote[4388].end 36453.27096875
transcript.pyannote[4389].speaker SPEAKER_19
transcript.pyannote[4389].start 36453.52409375
transcript.pyannote[4389].end 36454.46909375
transcript.pyannote[4390].speaker SPEAKER_19
transcript.pyannote[4390].start 36454.57034375
transcript.pyannote[4390].end 36456.44346875
transcript.pyannote[4391].speaker SPEAKER_19
transcript.pyannote[4391].start 36456.78096875
transcript.pyannote[4391].end 36457.55721875
transcript.pyannote[4392].speaker SPEAKER_19
transcript.pyannote[4392].start 36457.99596875
transcript.pyannote[4392].end 36458.50221875
transcript.pyannote[4393].speaker SPEAKER_19
transcript.pyannote[4393].start 36458.77221875
transcript.pyannote[4393].end 36462.85596875
transcript.pyannote[4394].speaker SPEAKER_19
transcript.pyannote[4394].start 36463.04159375
transcript.pyannote[4394].end 36464.96534375
transcript.pyannote[4395].speaker SPEAKER_19
transcript.pyannote[4395].start 36465.16784375
transcript.pyannote[4395].end 36467.04096875
transcript.pyannote[4396].speaker SPEAKER_19
transcript.pyannote[4396].start 36467.29409375
transcript.pyannote[4396].end 36468.22221875
transcript.pyannote[4397].speaker SPEAKER_19
transcript.pyannote[4397].start 36468.69471875
transcript.pyannote[4397].end 36469.06596875
transcript.pyannote[4398].speaker SPEAKER_19
transcript.pyannote[4398].start 36469.36971875
transcript.pyannote[4398].end 36470.07846875
transcript.pyannote[4399].speaker SPEAKER_19
transcript.pyannote[4399].start 36470.29784375
transcript.pyannote[4399].end 36471.39471875
transcript.pyannote[4400].speaker SPEAKER_19
transcript.pyannote[4400].start 36471.68159375
transcript.pyannote[4400].end 36472.54221875
transcript.pyannote[4401].speaker SPEAKER_19
transcript.pyannote[4401].start 36473.26784375
transcript.pyannote[4401].end 36474.43221875
transcript.pyannote[4402].speaker SPEAKER_19
transcript.pyannote[4402].start 36474.76971875
transcript.pyannote[4402].end 36475.63034375
transcript.pyannote[4403].speaker SPEAKER_19
transcript.pyannote[4403].start 36475.81596875
transcript.pyannote[4403].end 36477.73971875
transcript.pyannote[4404].speaker SPEAKER_19
transcript.pyannote[4404].start 36477.92534375
transcript.pyannote[4404].end 36485.87346875
transcript.pyannote[4405].speaker SPEAKER_19
transcript.pyannote[4405].start 36486.22784375
transcript.pyannote[4405].end 36487.22346875
transcript.pyannote[4406].speaker SPEAKER_19
transcript.pyannote[4406].start 36487.52721875
transcript.pyannote[4406].end 36489.55221875
transcript.pyannote[4407].speaker SPEAKER_19
transcript.pyannote[4407].start 36489.68721875
transcript.pyannote[4407].end 36494.12534375
transcript.pyannote[4408].speaker SPEAKER_19
transcript.pyannote[4408].start 36494.14221875
transcript.pyannote[4408].end 36495.15471875
transcript.pyannote[4409].speaker SPEAKER_17
transcript.pyannote[4409].start 36495.15471875
transcript.pyannote[4409].end 36495.71159375
transcript.pyannote[4410].speaker SPEAKER_17
transcript.pyannote[4410].start 36496.25159375
transcript.pyannote[4410].end 36499.94721875
transcript.pyannote[4411].speaker SPEAKER_03
transcript.pyannote[4411].start 36505.46534375
transcript.pyannote[4411].end 36506.88284375
transcript.pyannote[4412].speaker SPEAKER_03
transcript.pyannote[4412].start 36508.95846875
transcript.pyannote[4412].end 36510.05534375
transcript.pyannote[4413].speaker SPEAKER_03
transcript.pyannote[4413].start 36511.97909375
transcript.pyannote[4413].end 36521.51346875
transcript.pyannote[4414].speaker SPEAKER_03
transcript.pyannote[4414].start 36521.83409375
transcript.pyannote[4414].end 36524.43284375
transcript.pyannote[4415].speaker SPEAKER_27
transcript.pyannote[4415].start 36542.21909375
transcript.pyannote[4415].end 36545.25659375
transcript.pyannote[4416].speaker SPEAKER_03
transcript.pyannote[4416].start 36545.57721875
transcript.pyannote[4416].end 36547.09596875
transcript.pyannote[4417].speaker SPEAKER_27
transcript.pyannote[4417].start 36554.21721875
transcript.pyannote[4417].end 36557.00159375
transcript.pyannote[4418].speaker SPEAKER_23
transcript.pyannote[4418].start 36554.45346875
transcript.pyannote[4418].end 36554.90909375
transcript.pyannote[4419].speaker SPEAKER_03
transcript.pyannote[4419].start 36554.90909375
transcript.pyannote[4419].end 36554.95971875
transcript.pyannote[4420].speaker SPEAKER_27
transcript.pyannote[4420].start 36557.52471875
transcript.pyannote[4420].end 36585.58784375
transcript.pyannote[4421].speaker SPEAKER_17
transcript.pyannote[4421].start 36586.85346875
transcript.pyannote[4421].end 36591.08909375
transcript.pyannote[4422].speaker SPEAKER_17
transcript.pyannote[4422].start 36591.34221875
transcript.pyannote[4422].end 36598.78409375
transcript.pyannote[4423].speaker SPEAKER_27
transcript.pyannote[4423].start 36591.37596875
transcript.pyannote[4423].end 36591.91596875
transcript.pyannote[4424].speaker SPEAKER_17
transcript.pyannote[4424].start 36598.85159375
transcript.pyannote[4424].end 36599.44221875
transcript.pyannote[4425].speaker SPEAKER_17
transcript.pyannote[4425].start 36599.64471875
transcript.pyannote[4425].end 36606.52971875
transcript.pyannote[4426].speaker SPEAKER_17
transcript.pyannote[4426].start 36606.85034375
transcript.pyannote[4426].end 36607.15409375
transcript.pyannote[4427].speaker SPEAKER_17
transcript.pyannote[4427].start 36607.64346875
transcript.pyannote[4427].end 36611.49096875
transcript.pyannote[4428].speaker SPEAKER_27
transcript.pyannote[4428].start 36611.50784375
transcript.pyannote[4428].end 36639.63846875
transcript.pyannote[4429].speaker SPEAKER_17
transcript.pyannote[4429].start 36639.79034375
transcript.pyannote[4429].end 36641.47784375
transcript.pyannote[4430].speaker SPEAKER_27
transcript.pyannote[4430].start 36641.93346875
transcript.pyannote[4430].end 36656.76659375
transcript.pyannote[4431].speaker SPEAKER_27
transcript.pyannote[4431].start 36657.15471875
transcript.pyannote[4431].end 36695.17409375
transcript.pyannote[4432].speaker SPEAKER_17
transcript.pyannote[4432].start 36696.05159375
transcript.pyannote[4432].end 36696.50721875
transcript.pyannote[4433].speaker SPEAKER_17
transcript.pyannote[4433].start 36697.06409375
transcript.pyannote[4433].end 36702.46409375
transcript.pyannote[4434].speaker SPEAKER_25
transcript.pyannote[4434].start 36701.77221875
transcript.pyannote[4434].end 36702.16034375
transcript.pyannote[4435].speaker SPEAKER_17
transcript.pyannote[4435].start 36702.81846875
transcript.pyannote[4435].end 36705.60284375
transcript.pyannote[4436].speaker SPEAKER_17
transcript.pyannote[4436].start 36705.94034375
transcript.pyannote[4436].end 36706.80096875
transcript.pyannote[4437].speaker SPEAKER_17
transcript.pyannote[4437].start 36706.88534375
transcript.pyannote[4437].end 36708.67409375
transcript.pyannote[4438].speaker SPEAKER_17
transcript.pyannote[4438].start 36708.77534375
transcript.pyannote[4438].end 36710.19284375
transcript.pyannote[4439].speaker SPEAKER_17
transcript.pyannote[4439].start 36710.53034375
transcript.pyannote[4439].end 36716.20034375
transcript.pyannote[4440].speaker SPEAKER_27
transcript.pyannote[4440].start 36716.20034375
transcript.pyannote[4440].end 36763.46721875
transcript.pyannote[4441].speaker SPEAKER_17
transcript.pyannote[4441].start 36716.41971875
transcript.pyannote[4441].end 36716.80784375
transcript.pyannote[4442].speaker SPEAKER_07
transcript.pyannote[4442].start 36764.22659375
transcript.pyannote[4442].end 36769.17096875
transcript.pyannote[4443].speaker SPEAKER_07
transcript.pyannote[4443].start 36769.47471875
transcript.pyannote[4443].end 36771.21284375
transcript.pyannote[4444].speaker SPEAKER_07
transcript.pyannote[4444].start 36771.61784375
transcript.pyannote[4444].end 36773.87909375
transcript.pyannote[4445].speaker SPEAKER_07
transcript.pyannote[4445].start 36774.21659375
transcript.pyannote[4445].end 36776.37659375
transcript.pyannote[4446].speaker SPEAKER_07
transcript.pyannote[4446].start 36776.56221875
transcript.pyannote[4446].end 36780.88221875
transcript.pyannote[4447].speaker SPEAKER_27
transcript.pyannote[4447].start 36780.88221875
transcript.pyannote[4447].end 36801.85784375
transcript.pyannote[4448].speaker SPEAKER_27
transcript.pyannote[4448].start 36802.11096875
transcript.pyannote[4448].end 36860.49846875
transcript.pyannote[4449].speaker SPEAKER_27
transcript.pyannote[4449].start 36860.66721875
transcript.pyannote[4449].end 36869.56034375
transcript.pyannote[4450].speaker SPEAKER_27
transcript.pyannote[4450].start 36869.62784375
transcript.pyannote[4450].end 36871.90596875
transcript.pyannote[4451].speaker SPEAKER_27
transcript.pyannote[4451].start 36872.46284375
transcript.pyannote[4451].end 36873.20534375
transcript.pyannote[4452].speaker SPEAKER_27
transcript.pyannote[4452].start 36873.54284375
transcript.pyannote[4452].end 36885.55784375
transcript.pyannote[4453].speaker SPEAKER_27
transcript.pyannote[4453].start 36886.03034375
transcript.pyannote[4453].end 36886.84034375
transcript.pyannote[4454].speaker SPEAKER_27
transcript.pyannote[4454].start 36887.93721875
transcript.pyannote[4454].end 36889.18596875
transcript.pyannote[4455].speaker SPEAKER_27
transcript.pyannote[4455].start 36889.25346875
transcript.pyannote[4455].end 36923.00346875
transcript.pyannote[4456].speaker SPEAKER_27
transcript.pyannote[4456].start 36923.17221875
transcript.pyannote[4456].end 36929.16284375
transcript.pyannote[4457].speaker SPEAKER_17
transcript.pyannote[4457].start 36930.09096875
transcript.pyannote[4457].end 36932.33534375
transcript.pyannote[4458].speaker SPEAKER_27
transcript.pyannote[4458].start 36932.41971875
transcript.pyannote[4458].end 36954.99846875
transcript.pyannote[4459].speaker SPEAKER_27
transcript.pyannote[4459].start 36955.08284375
transcript.pyannote[4459].end 36955.74096875
transcript.pyannote[4460].speaker SPEAKER_27
transcript.pyannote[4460].start 36956.71971875
transcript.pyannote[4460].end 36984.90096875
transcript.pyannote[4461].speaker SPEAKER_27
transcript.pyannote[4461].start 36985.27221875
transcript.pyannote[4461].end 36994.13159375
transcript.pyannote[4462].speaker SPEAKER_07
transcript.pyannote[4462].start 36994.31721875
transcript.pyannote[4462].end 36997.50659375
transcript.pyannote[4463].speaker SPEAKER_07
transcript.pyannote[4463].start 36997.77659375
transcript.pyannote[4463].end 36998.18159375
transcript.pyannote[4464].speaker SPEAKER_07
transcript.pyannote[4464].start 36998.40096875
transcript.pyannote[4464].end 37000.89846875
transcript.pyannote[4465].speaker SPEAKER_07
transcript.pyannote[4465].start 37001.11784375
transcript.pyannote[4465].end 37001.62409375
transcript.pyannote[4466].speaker SPEAKER_07
transcript.pyannote[4466].start 37002.33284375
transcript.pyannote[4466].end 37005.18471875
transcript.pyannote[4467].speaker SPEAKER_07
transcript.pyannote[4467].start 37005.53909375
transcript.pyannote[4467].end 37006.60221875
transcript.pyannote[4468].speaker SPEAKER_07
transcript.pyannote[4468].start 37007.07471875
transcript.pyannote[4468].end 37009.25159375
transcript.pyannote[4469].speaker SPEAKER_07
transcript.pyannote[4469].start 37009.65659375
transcript.pyannote[4469].end 37014.34784375
transcript.pyannote[4470].speaker SPEAKER_27
transcript.pyannote[4470].start 37013.33534375
transcript.pyannote[4470].end 37024.05096875
transcript.pyannote[4471].speaker SPEAKER_07
transcript.pyannote[4471].start 37016.38971875
transcript.pyannote[4471].end 37016.57534375
transcript.pyannote[4472].speaker SPEAKER_07
transcript.pyannote[4472].start 37023.57846875
transcript.pyannote[4472].end 37027.10534375
transcript.pyannote[4473].speaker SPEAKER_07
transcript.pyannote[4473].start 37027.37534375
transcript.pyannote[4473].end 37029.11346875
transcript.pyannote[4474].speaker SPEAKER_07
transcript.pyannote[4474].start 37029.41721875
transcript.pyannote[4474].end 37030.31159375
transcript.pyannote[4475].speaker SPEAKER_07
transcript.pyannote[4475].start 37030.73346875
transcript.pyannote[4475].end 37031.84721875
transcript.pyannote[4476].speaker SPEAKER_07
transcript.pyannote[4476].start 37032.13409375
transcript.pyannote[4476].end 37034.29409375
transcript.pyannote[4477].speaker SPEAKER_07
transcript.pyannote[4477].start 37034.64846875
transcript.pyannote[4477].end 37036.77471875
transcript.pyannote[4478].speaker SPEAKER_07
transcript.pyannote[4478].start 37037.29784375
transcript.pyannote[4478].end 37039.05284375
transcript.pyannote[4479].speaker SPEAKER_07
transcript.pyannote[4479].start 37039.37346875
transcript.pyannote[4479].end 37040.74034375
transcript.pyannote[4480].speaker SPEAKER_07
transcript.pyannote[4480].start 37041.07784375
transcript.pyannote[4480].end 37045.14471875
transcript.pyannote[4481].speaker SPEAKER_07
transcript.pyannote[4481].start 37045.49909375
transcript.pyannote[4481].end 37048.89096875
transcript.pyannote[4482].speaker SPEAKER_07
transcript.pyannote[4482].start 37049.27909375
transcript.pyannote[4482].end 37052.09721875
transcript.pyannote[4483].speaker SPEAKER_07
transcript.pyannote[4483].start 37052.36721875
transcript.pyannote[4483].end 37055.97846875
transcript.pyannote[4484].speaker SPEAKER_07
transcript.pyannote[4484].start 37056.29909375
transcript.pyannote[4484].end 37057.46346875
transcript.pyannote[4485].speaker SPEAKER_07
transcript.pyannote[4485].start 37057.80096875
transcript.pyannote[4485].end 37062.13784375
transcript.pyannote[4486].speaker SPEAKER_27
transcript.pyannote[4486].start 37061.27721875
transcript.pyannote[4486].end 37062.00284375
transcript.pyannote[4487].speaker SPEAKER_27
transcript.pyannote[4487].start 37062.13784375
transcript.pyannote[4487].end 37062.62721875
transcript.pyannote[4488].speaker SPEAKER_07
transcript.pyannote[4488].start 37062.62721875
transcript.pyannote[4488].end 37064.43284375
transcript.pyannote[4489].speaker SPEAKER_27
transcript.pyannote[4489].start 37063.23471875
transcript.pyannote[4489].end 37063.36971875
transcript.pyannote[4490].speaker SPEAKER_27
transcript.pyannote[4490].start 37064.43284375
transcript.pyannote[4490].end 37064.77034375
transcript.pyannote[4491].speaker SPEAKER_07
transcript.pyannote[4491].start 37064.77034375
transcript.pyannote[4491].end 37064.80409375
transcript.pyannote[4492].speaker SPEAKER_27
transcript.pyannote[4492].start 37064.80409375
transcript.pyannote[4492].end 37069.29284375
transcript.pyannote[4493].speaker SPEAKER_07
transcript.pyannote[4493].start 37064.90534375
transcript.pyannote[4493].end 37066.01909375
transcript.pyannote[4494].speaker SPEAKER_07
transcript.pyannote[4494].start 37066.87971875
transcript.pyannote[4494].end 37067.90909375
transcript.pyannote[4495].speaker SPEAKER_07
transcript.pyannote[4495].start 37069.02284375
transcript.pyannote[4495].end 37076.02596875
transcript.pyannote[4496].speaker SPEAKER_27
transcript.pyannote[4496].start 37072.63409375
transcript.pyannote[4496].end 37073.22471875
transcript.pyannote[4497].speaker SPEAKER_06
transcript.pyannote[4497].start 37073.22471875
transcript.pyannote[4497].end 37073.29221875
transcript.pyannote[4498].speaker SPEAKER_07
transcript.pyannote[4498].start 37076.54909375
transcript.pyannote[4498].end 37078.27034375
transcript.pyannote[4499].speaker SPEAKER_07
transcript.pyannote[4499].start 37078.50659375
transcript.pyannote[4499].end 37080.95346875
transcript.pyannote[4500].speaker SPEAKER_07
transcript.pyannote[4500].start 37081.15596875
transcript.pyannote[4500].end 37083.78846875
transcript.pyannote[4501].speaker SPEAKER_07
transcript.pyannote[4501].start 37083.87284375
transcript.pyannote[4501].end 37083.88971875
transcript.pyannote[4502].speaker SPEAKER_27
transcript.pyannote[4502].start 37083.88971875
transcript.pyannote[4502].end 37083.92346875
transcript.pyannote[4503].speaker SPEAKER_07
transcript.pyannote[4503].start 37083.92346875
transcript.pyannote[4503].end 37084.37909375
transcript.pyannote[4504].speaker SPEAKER_27
transcript.pyannote[4504].start 37083.94034375
transcript.pyannote[4504].end 37088.78346875
transcript.pyannote[4505].speaker SPEAKER_07
transcript.pyannote[4505].start 37088.31096875
transcript.pyannote[4505].end 37094.52096875
transcript.pyannote[4506].speaker SPEAKER_27
transcript.pyannote[4506].start 37091.14596875
transcript.pyannote[4506].end 37092.14159375
transcript.pyannote[4507].speaker SPEAKER_27
transcript.pyannote[4507].start 37094.82471875
transcript.pyannote[4507].end 37109.16846875
transcript.pyannote[4508].speaker SPEAKER_07
transcript.pyannote[4508].start 37095.09471875
transcript.pyannote[4508].end 37095.83721875
transcript.pyannote[4509].speaker SPEAKER_07
transcript.pyannote[4509].start 37109.43846875
transcript.pyannote[4509].end 37112.02034375
transcript.pyannote[4510].speaker SPEAKER_07
transcript.pyannote[4510].start 37112.56034375
transcript.pyannote[4510].end 37113.03284375
transcript.pyannote[4511].speaker SPEAKER_07
transcript.pyannote[4511].start 37113.10034375
transcript.pyannote[4511].end 37115.17596875
transcript.pyannote[4512].speaker SPEAKER_07
transcript.pyannote[4512].start 37115.53034375
transcript.pyannote[4512].end 37121.04846875
transcript.pyannote[4513].speaker SPEAKER_07
transcript.pyannote[4513].start 37121.25096875
transcript.pyannote[4513].end 37122.68534375
transcript.pyannote[4514].speaker SPEAKER_27
transcript.pyannote[4514].start 37121.60534375
transcript.pyannote[4514].end 37156.50284375
transcript.pyannote[4515].speaker SPEAKER_07
transcript.pyannote[4515].start 37124.22096875
transcript.pyannote[4515].end 37125.46971875
transcript.pyannote[4516].speaker SPEAKER_25
transcript.pyannote[4516].start 37156.55346875
transcript.pyannote[4516].end 37157.02596875
transcript.pyannote[4517].speaker SPEAKER_27
transcript.pyannote[4517].start 37157.34659375
transcript.pyannote[4517].end 37169.83409375
transcript.pyannote[4518].speaker SPEAKER_25
transcript.pyannote[4518].start 37160.99159375
transcript.pyannote[4518].end 37163.74221875
transcript.pyannote[4519].speaker SPEAKER_25
transcript.pyannote[4519].start 37169.83409375
transcript.pyannote[4519].end 37170.18846875
transcript.pyannote[4520].speaker SPEAKER_27
transcript.pyannote[4520].start 37170.18846875
transcript.pyannote[4520].end 37170.57659375
transcript.pyannote[4521].speaker SPEAKER_27
transcript.pyannote[4521].start 37170.93096875
transcript.pyannote[4521].end 37174.98096875
transcript.pyannote[4522].speaker SPEAKER_27
transcript.pyannote[4522].start 37175.77409375
transcript.pyannote[4522].end 37206.60471875
transcript.pyannote[4523].speaker SPEAKER_07
transcript.pyannote[4523].start 37207.53284375
transcript.pyannote[4523].end 37216.66221875
transcript.pyannote[4524].speaker SPEAKER_27
transcript.pyannote[4524].start 37210.38471875
transcript.pyannote[4524].end 37211.80221875
transcript.pyannote[4525].speaker SPEAKER_27
transcript.pyannote[4525].start 37212.91596875
transcript.pyannote[4525].end 37213.79346875
transcript.pyannote[4526].speaker SPEAKER_27
transcript.pyannote[4526].start 37215.49784375
transcript.pyannote[4526].end 37221.11721875
transcript.pyannote[4527].speaker SPEAKER_07
transcript.pyannote[4527].start 37218.55221875
transcript.pyannote[4527].end 37218.80534375
transcript.pyannote[4528].speaker SPEAKER_07
transcript.pyannote[4528].start 37221.11721875
transcript.pyannote[4528].end 37223.41221875
transcript.pyannote[4529].speaker SPEAKER_27
transcript.pyannote[4529].start 37221.13409375
transcript.pyannote[4529].end 37221.65721875
transcript.pyannote[4530].speaker SPEAKER_07
transcript.pyannote[4530].start 37223.56409375
transcript.pyannote[4530].end 37223.58096875
transcript.pyannote[4531].speaker SPEAKER_27
transcript.pyannote[4531].start 37223.58096875
transcript.pyannote[4531].end 37223.64846875
transcript.pyannote[4532].speaker SPEAKER_07
transcript.pyannote[4532].start 37223.64846875
transcript.pyannote[4532].end 37228.74471875
transcript.pyannote[4533].speaker SPEAKER_27
transcript.pyannote[4533].start 37224.01971875
transcript.pyannote[4533].end 37227.88409375
transcript.pyannote[4534].speaker SPEAKER_07
transcript.pyannote[4534].start 37228.94721875
transcript.pyannote[4534].end 37231.07346875
transcript.pyannote[4535].speaker SPEAKER_27
transcript.pyannote[4535].start 37229.25096875
transcript.pyannote[4535].end 37231.09034375
transcript.pyannote[4536].speaker SPEAKER_07
transcript.pyannote[4536].start 37231.09034375
transcript.pyannote[4536].end 37231.68096875
transcript.pyannote[4537].speaker SPEAKER_27
transcript.pyannote[4537].start 37231.68096875
transcript.pyannote[4537].end 37251.01971875
transcript.pyannote[4538].speaker SPEAKER_27
transcript.pyannote[4538].start 37251.50909375
transcript.pyannote[4538].end 37251.79596875
transcript.pyannote[4539].speaker SPEAKER_27
transcript.pyannote[4539].start 37251.96471875
transcript.pyannote[4539].end 37288.06034375
transcript.pyannote[4540].speaker SPEAKER_27
transcript.pyannote[4540].start 37288.43159375
transcript.pyannote[4540].end 37309.13721875
transcript.pyannote[4541].speaker SPEAKER_27
transcript.pyannote[4541].start 37309.30596875
transcript.pyannote[4541].end 37348.87784375
transcript.pyannote[4542].speaker SPEAKER_27
transcript.pyannote[4542].start 37349.45159375
transcript.pyannote[4542].end 37354.04159375
transcript.pyannote[4543].speaker SPEAKER_27
transcript.pyannote[4543].start 37354.27784375
transcript.pyannote[4543].end 37355.34096875
transcript.pyannote[4544].speaker SPEAKER_27
transcript.pyannote[4544].start 37356.03284375
transcript.pyannote[4544].end 37359.03659375
transcript.pyannote[4545].speaker SPEAKER_27
transcript.pyannote[4545].start 37359.25596875
transcript.pyannote[4545].end 37365.61784375
transcript.pyannote[4546].speaker SPEAKER_27
transcript.pyannote[4546].start 37365.87096875
transcript.pyannote[4546].end 37376.31659375
transcript.pyannote[4547].speaker SPEAKER_17
transcript.pyannote[4547].start 37375.00034375
transcript.pyannote[4547].end 37380.24846875
transcript.pyannote[4548].speaker SPEAKER_27
transcript.pyannote[4548].start 37380.63659375
transcript.pyannote[4548].end 37380.65346875
transcript.pyannote[4549].speaker SPEAKER_17
transcript.pyannote[4549].start 37380.65346875
transcript.pyannote[4549].end 37384.83846875
transcript.pyannote[4550].speaker SPEAKER_27
transcript.pyannote[4550].start 37380.82221875
transcript.pyannote[4550].end 37381.19346875
transcript.pyannote[4551].speaker SPEAKER_17
transcript.pyannote[4551].start 37385.02409375
transcript.pyannote[4551].end 37391.40284375
transcript.pyannote[4552].speaker SPEAKER_17
transcript.pyannote[4552].start 37391.50409375
transcript.pyannote[4552].end 37392.28034375
transcript.pyannote[4553].speaker SPEAKER_17
transcript.pyannote[4553].start 37392.34784375
transcript.pyannote[4553].end 37399.09784375
transcript.pyannote[4554].speaker SPEAKER_27
transcript.pyannote[4554].start 37399.09784375
transcript.pyannote[4554].end 37418.57159375
transcript.pyannote[4555].speaker SPEAKER_27
transcript.pyannote[4555].start 37418.77409375
transcript.pyannote[4555].end 37453.48596875
transcript.pyannote[4556].speaker SPEAKER_27
transcript.pyannote[4556].start 37453.68846875
transcript.pyannote[4556].end 37454.19471875
transcript.pyannote[4557].speaker SPEAKER_27
transcript.pyannote[4557].start 37454.48159375
transcript.pyannote[4557].end 37457.21534375
transcript.pyannote[4558].speaker SPEAKER_07
transcript.pyannote[4558].start 37457.75534375
transcript.pyannote[4558].end 37458.14346875
transcript.pyannote[4559].speaker SPEAKER_07
transcript.pyannote[4559].start 37458.59909375
transcript.pyannote[4559].end 37459.88159375
transcript.pyannote[4560].speaker SPEAKER_03
transcript.pyannote[4560].start 37481.86971875
transcript.pyannote[4560].end 37483.89471875
transcript.pyannote[4561].speaker SPEAKER_03
transcript.pyannote[4561].start 37485.59909375
transcript.pyannote[4561].end 37486.61159375
transcript.pyannote[4562].speaker SPEAKER_03
transcript.pyannote[4562].start 37487.50596875
transcript.pyannote[4562].end 37495.03221875
transcript.pyannote[4563].speaker SPEAKER_03
transcript.pyannote[4563].start 37495.43721875
transcript.pyannote[4563].end 37498.98096875
transcript.pyannote[4564].speaker SPEAKER_03
transcript.pyannote[4564].start 37499.36909375
transcript.pyannote[4564].end 37500.76971875
transcript.pyannote[4565].speaker SPEAKER_03
transcript.pyannote[4565].start 37501.14096875
transcript.pyannote[4565].end 37505.02221875
transcript.pyannote[4566].speaker SPEAKER_03
transcript.pyannote[4566].start 37505.34284375
transcript.pyannote[4566].end 37513.07159375
transcript.whisperx[0].start 1923.598
transcript.whisperx[0].end 1926.841
transcript.whisperx[0].text 主席、各位官員、各位委員、各位媒體朋友早安。
transcript.whisperx[1].start 1950.39
transcript.whisperx[1].end 1973.223
transcript.whisperx[1].text 本席今天想講的是第六波COVID疫情已經襲來。衛福部官方也預估,7月中就診人數將達到12萬人,染疫人數來到6萬人。上週新增了64例死亡病例,為此波疫情的新高,較前一週上升了6成之多。
transcript.whisperx[2].start 1974.244
transcript.whisperx[2].end 1993.187
transcript.whisperx[2].text 全國目前的急診都塞爆在後疫情時代跟病毒共存已經是我們國人必須學習的課題但是呢這場天災造成太多的遺憾跟苦難根據WHO顯示全球2020年的平均愚民
transcript.whisperx[3].start 1993.767
transcript.whisperx[3].end 2008.459
transcript.whisperx[3].text 因為COVID-19已經退回2012年的水平而臺灣在2021年2022年的平均愚民也呈現負值疫情所造成的影響遠比我們想像中還要嚴重
transcript.whisperx[4].start 2009.62
transcript.whisperx[4].end 2034.379
transcript.whisperx[4].text 上週五我跟立法院後生會共同召開了一個後疫情時代新冠防疫政策總檢討公聽會,邀請了許多的專家學者為府部各部會共商後疫情的公衛防疫政策。這些來自第一線的建言都非常的具體寶貴,但我很擔心政府可不可以聽取而且執行。
transcript.whisperx[5].start 2035.16
transcript.whisperx[5].end 2062.572
transcript.whisperx[5].text 因為啊其實衛福部有一個為期6年的新型傳染病以及流感大流行應變準備邊境檢疫計劃總經費達到40億結果呢今年第三年總計劃經費執行的達成率只有13%三年計劃經費達成率也只有16%三年完成不到兩成
transcript.whisperx[6].start 2063.692
transcript.whisperx[6].end 2090.479
transcript.whisperx[6].text 難道剩下的三年可以一次趕進度八成嗎?該計畫提到要建立藥物使用機制快速部署分配機制也要收集各種各國的藥物儲備策略等等但是這些計畫的進度都嚴重落後它公布在公共政策網路參與平台上落後的原因它需要分析七項
transcript.whisperx[7].start 2091.739
transcript.whisperx[7].end 2109.661
transcript.whisperx[7].text 結果衛福部直接不演了必須說明落後原因的分析7項裡面有6項衛福部直接躺平分析寫無並且沒有提供落後分析的原因也沒有機關因應的對策其中包括
transcript.whisperx[8].start 2110.382
transcript.whisperx[8].end 2130.391
transcript.whisperx[8].text 通報應變能力、擴大民間參與、深化防疫旅遊概念、還有儲備有限管理、各個的藥物、疫苗、個人防護裝備等等全部都寫無。所以在這樣子不積極、不作為的狀況之下,低效能進行防疫,這樣子的疫情就...
transcript.whisperx[9].start 2135.666
transcript.whisperx[9].end 2137.967
transcript.whisperx[9].text 主席各位同仁民進黨當家鬧事就是想掩蓋施政的無能
transcript.whisperx[10].start 2160.615
transcript.whisperx[10].end 2178.455
transcript.whisperx[10].text 上個月才在月議場裡面高喊沒有討論沒有民主的民進黨團昨天在排審選罷法修正案的內政委員會的時候公然示範不想討論違反民主的鬧劇放著民進黨自己當三個委員會的召委不管空轉不開會
transcript.whisperx[11].start 2179.416
transcript.whisperx[11].end 2188.306
transcript.whisperx[11].text 直接跑到內政委員會來鬧事搶議事錄搶麥克風還軟禁議事人員我們要說一再製造惡力製造讓議事人員受傷受苦的狀況這一點就是民進黨在這個會期裡面開的首要惡力
transcript.whisperx[12].start 2198.476
transcript.whisperx[12].end 2220.697
transcript.whisperx[12].text 五月十七號攻擊周萬來秘書長,昨天軟禁議事人員。我們真的要問,當看到召委高金樹梅強忍身體不舒服,不斷呼籲民進黨的委員尊重開會討論的時候,民進黨黨團卻可以鎖門吃炸雞,囚禁議事人員還洋洋得意,這樣的土匪行為,國人能夠接受嗎?
transcript.whisperx[13].start 2221.778
transcript.whisperx[13].end 2250.343
transcript.whisperx[13].text 再者民進黨不想討論這次的選罷法修法卻忽視了兩年前才有三位民進黨的委員領銜提案並且提出一模一樣的修法內容兩年前自己提案修法內容兩年後卻不想討論甚至還誣衊這次的修法是要搶救謝國良但事實這次的修法根本不會適用在基隆市的罷免案所以說到底
transcript.whisperx[14].start 2250.803
transcript.whisperx[14].end 2276.708
transcript.whisperx[14].text 就是想要掩蓋賴清德少數的執政無能只想要搞明年的全台大罷免。罷免是作為選舉的救濟但現在卻變成民進黨短時間選舉翻盤的遊戲選輸不甘願四年等不及就想要仇恨動員這就是民進黨現在的陽謀嗎?更不用講現在的施政到底狀況如何
transcript.whisperx[15].start 2278.268
transcript.whisperx[15].end 2301.719
transcript.whisperx[15].text 一個多月上任了新內閣新團隊但我們現在看到的是澎湖的漁船超過48小時到目前為止賴清德總統有出來講一句話嗎?能源的問題過去這一個月跳電斷電狀況不斷每每都推給小動物到底有那麼多小動物還是我們的電網真的韌性不足呢?
transcript.whisperx[16].start 2302.459
transcript.whisperx[16].end 2318.938
transcript.whisperx[16].text 還有現在有媒體在上個禮拜報導說有大陸人士來盯哨我們的政論節目到現在一個禮拜過去了昨天外交國防委員會也要討論但是沒有開會沒有辦法質詢我們只想問現在民進黨政府到底查的如何
transcript.whisperx[17].start 2319.258
transcript.whisperx[17].end 2340.247
transcript.whisperx[17].text
transcript.whisperx[18].start 2344.943
transcript.whisperx[18].end 2349.054
transcript.whisperx[18].text 謝謝洪孟凱委員的發言。接下來請登記第三號張家俊委員發言。
transcript.whisperx[19].start 2371.158
transcript.whisperx[19].end 2390.689
transcript.whisperx[19].text 在臺灣,詐騙就如同一場瘟疫,籠罩在我們的生活中,不但完全沒有終止的跡象,而且越來越嚴重。過去這幾年來,政府喊了相當多的打詐口號,但是根據警政署的統計,2020年臺灣詐騙的案件涉案金額為42.5億。
transcript.whisperx[20].start 2397.313
transcript.whisperx[20].end 2399.695
transcript.whisperx[20].text 到了2021年變成了56億。2022年的69.5億。到了2023年直接成長到88億。年年增長。然而這些數字只是有報案的數字。根據全球反詐聯盟GASA統計
transcript.whisperx[21].start 2420.211
transcript.whisperx[21].end 2420.913
transcript.whisperx[21].text 台灣2022年到2023年之間因為詐騙財產損失已經高達2000億。
transcript.whisperx[22].start 2430.25
transcript.whisperx[22].end 2449.104
transcript.whisperx[22].text ﹚台幣將近全年GDP產值的1%,我們政府是在騎U-Bike,詐騙集團早就在開特斯拉了,打詐的成績完全跟不上詐騙的速度。根據警政署的資料,2023年
transcript.whisperx[23].start 2451.363
transcript.whisperx[23].end 2458.207
transcript.whisperx[23].text 詐欺案件發生數為38000多件,較前年增加8314件,增加了28.17%。
transcript.whisperx[24].start 2465.154
transcript.whisperx[24].end 2484.425
transcript.whisperx[24].text 破獲數36000多件破獲率高達95%這是大家對於詐騙的認知嗎?這是一般民眾對於詐騙的認知嗎?警政署公布這麼高的破案率政府對外宣稱
transcript.whisperx[25].start 2485.405
transcript.whisperx[25].end 2508.896
transcript.whisperx[25].text 打詐已經有了成效,卻沒有追根究柢,永遠也彌平不了人民的血淚與損失。詐騙的首腦依舊逍遙法外,百姓依舊徬徨無助。除了查緝以外,從源頭杜絕詐騙的管道更是重中之重,尤其網路詐騙已經成為詐騙主要的手段。
transcript.whisperx[26].start 2513.398
transcript.whisperx[26].end 2535.876
transcript.whisperx[26].text 數位部應該扛起重大責任為人民把關,而不是面線點得到,打詐騙卻打不到。數位部在2022年成立以來,2022年正是詐騙金額成長最高的一年,多麼的諷刺。
transcript.whisperx[27].start 2536.997
transcript.whisperx[27].end 2540.738
transcript.whisperx[27].text 謝謝張家俊委員的發言。接下來請登記第4號徐宇貞委員發言。
transcript.whisperx[28].start 2576.926
transcript.whisperx[28].end 2599.519
transcript.whisperx[28].text 主席、各位官員、還有各位媒體先進。大家早。流氓民進黨輸不起,荒唐行徑再破紀錄。國會改革無法通過之後,民進黨賴清德輸不起,無法接受非綠民意在立法院行使調查權,先是讓行政院提出復議,再史無前例地讓四個單位提出釋憲。
transcript.whisperx[29].start 2601.394
transcript.whisperx[29].end 2620.386
transcript.whisperx[29].text 如今還想展開遍地風火式的罷免先是抹黑本席所提的公職人員選罷法的修正案希望能夠把罷免票數高於當選票數的修法提案回顧第10屆立法院選罷法修法的提案的狀況現任的立委郭國文、賴瑞榮
transcript.whisperx[30].start 2621.226
transcript.whisperx[30].end 2647.146
transcript.whisperx[30].text 都有提出跟我一模一樣的版本就是修正第九十條當時民進黨的柯建民總召還有時任民進黨團幹事長的劉世芳現任的我們的部長都公開的表示應該要檢討修正罷免制度還強調罷免門檻有必要提高並慎重考慮是否有必要維持民意代表可被罷免的制度
transcript.whisperx[31].start 2648.347
transcript.whisperx[31].end 2673.493
transcript.whisperx[31].text 這幾年罷免案經常發生,這與低門檻的罷免制度設計有很大的關係。雖說罷免制度可以讓民眾有機會下架不適任的公職人員,但是我們必須要警惕罷免制度淪為有心人政治鬥爭和政治報復的工具。民主制度需要健全的機制來保護,而不是任由罷免被濫用。
transcript.whisperx[32].start 2675.514
transcript.whisperx[32].end 2692.144
transcript.whisperx[32].text 2016 2016年選罷法修正後的罷免制度已經形成罷免比當選容易的畸形制度。罷免門檻偏低,除了會變相鼓勵罷免,讓敗選的一方容易操作罷免,成為選舉的延長賽。
transcript.whisperx[33].start 2694.696
transcript.whisperx[33].end 2710.926
transcript.whisperx[33].text 先是選舉罷免再補選不利於民主良善的發展更耗費國家社會的資源因此才會不分黨派紛紛提出罷免門檻的修正案昨天內政委員會高金素梅召委
transcript.whisperx[34].start 2711.406
transcript.whisperx[34].end 2736.788
transcript.whisperx[34].text 排定審查選罷法。但民進黨團在柯敬明總召的帶領下一早就霸佔了內政委員會的會議室,杯葛議事運作,沒收我們議案討論的權利,甚至搶奪議事人員的議事路,軟禁我們的議事人員,限制人身的自由。民進黨為了私利玩法弄權,成了名符其實的民進
transcript.whisperx[35].start 2737.762
transcript.whisperx[35].end 2759.613
transcript.whisperx[35].text 民主進步黨我要問賴清德這就是你想要的立法院只要民進黨不同意什麼法案都不能過嗎?什麼法案都要黨嗎?現在是民主獨裁的時刻嗎?我要呼籲賴清德不要再搞惡意杯葛限制人身自由請理性務實面對選辦法的手法不要讓少數否決多數
transcript.whisperx[36].start 2765.05
transcript.whisperx[36].end 2788.464
transcript.whisperx[36].text 謝謝徐議政委員的發言接下來請登記第5號羅志強委員發言高齡杯哥民進黨看到了嗎?
transcript.whisperx[37].start 2789.847
transcript.whisperx[37].end 2815.995
transcript.whisperx[37].text 蔡英文承諾的12萬戶社會住宅賴清德8年都蓋不完而獨居老人過去8年暴增250%別讓台灣出現高齡杯哥蔡英文在2016年上任前承諾蓋12萬戶社會住宅而當我跟內政部詢問未來社宅完工規劃時
transcript.whisperx[38].start 2817.984
transcript.whisperx[38].end 2827.524
transcript.whisperx[38].text 內政部非常誠實說到2031年涵蓋已經完工的3萬戶總共能夠完工的就是10.2萬戶
transcript.whisperx[39].start 2829.79
transcript.whisperx[39].end 2845.939
transcript.whisperx[39].text 白紙黑字告訴我們即便賴清德再當兩任總統到2031年都沒有辦法完成蔡英文所承諾的12萬戶社會住宅而賴清德總統還加碼8年要蓋25萬戶
transcript.whisperx[40].start 2848.519
transcript.whisperx[40].end 2866.553
transcript.whisperx[40].text 社宅興建緩慢高齡化加速房價物價居高不下的時候首當其衝就是高齡長者的居住權跟生存權。過去8年我國65歲以上長者居住社會住宅的比例從5.46%增加到12.83%
transcript.whisperx[41].start 2874.034
transcript.whisperx[41].end 2890.803
transcript.whisperx[41].text 獨居長者這個宅數的比例從4.09成長到10.25分別漲幅是2.35倍跟2.5倍這些數據都告訴我們落實高齡者居住正義是非常重要也迫切的
transcript.whisperx[42].start 2892.011
transcript.whisperx[42].end 2914.6
transcript.whisperx[42].text 引髮族不一定是經濟弱勢但現實生活就是許多長者常常有錢也租不到房子因為房東可能認為長者經濟收入不穩定或者怕長者在住處往生影響房價但根據住宅法第25條第二項制定的內政部新辦社會住宅出租辦法11條規定
transcript.whisperx[43].start 2916.423
transcript.whisperx[43].end 2939.411
transcript.whisperx[43].text 社會住宅租賃跟續租最長為12年,如果65歲長者曾租社會住宅,12年後接近80歲的高齡,依照現行法規就要被趕出去。80歲不只是經濟無法負擔一般房租,即便是負擔了也沒有力氣搬家,沒有力氣適應新環境,這就是所謂的高齡杯葛。
transcript.whisperx[44].start 2940.356
transcript.whisperx[44].end 2964.938
transcript.whisperx[44].text 因此這次修法羅志強主張修改住宅法25條規定要解開現行法規社會住宅最多只能住12年的硬上限對65歲以上長者成豬社會住宅時應該要延長租賃跟續租期限避免高齡杯葛所以希望我們的民進黨政府可以廣納這一條善言謝謝
transcript.whisperx[45].start 2970.391
transcript.whisperx[45].end 2977.747
transcript.whisperx[45].text 謝謝羅志強委員的發言。報告院會現在登記國是論壇發言的委員均已發言完畢。現在休息。
transcript.whisperx[46].start 5310.93
transcript.whisperx[46].end 5313.217
transcript.whisperx[46].text 響鐘
transcript.whisperx[47].start 5462.048
transcript.whisperx[47].end 5475.499
transcript.whisperx[47].text 報告議員會,我們現在繼續開會。請秘書長報告出席人數。報告議員會出席委員57人以足法定人數。我們現在開會進行報告事項。請秘書長宣讀第一會期第二十次會議意思錄。
transcript.whisperx[48].start 5477.99
transcript.whisperx[48].end 5485.798
transcript.whisperx[48].text 宣讀立法院第11屆第1會期第20次會議.事由.時間。.中華民國113年6月28日上午9時1分至9時14分時時至10時21分下午2時30分至4時29分。.7月2日上午9時1分至10時29分下午2時30分至4時6分。.
transcript.whisperx[49].start 5497.813
transcript.whisperx[49].end 5511.868
transcript.whisperx[49].text 地點、本院議場、出席委員、吳委員、立法等113人、內席官員、行政院院長、卓榮泰等15人、主席院長韓國瑜、副院長江啟臣。報告施向第一案宣讀本院第11屆第1會期第19次會議適度決定、確定
transcript.whisperx[50].start 5515.373
transcript.whisperx[50].end 5521.279
transcript.whisperx[50].text 第27、11至19、21至28、30至40、47至251案均決定交互相關委員會審查、處理或交互相關委員會。第8至10、20、29、46案均決定經報讀與相關提案並按協商。
transcript.whisperx[51].start 5534.031
transcript.whisperx[51].end 5560.248
transcript.whisperx[51].text 第43至44案均決定同意撤為第252至263、265至267案為內政委員會等所提示報告案。第264案決定展延審查期限。第268案為行政院函送本院委員提案之原處情形。執行事項甲,行政院答案部分一件,與本院委員執行部分五件。對行政院院長報告施政方針
transcript.whisperx[52].start 5562.29
transcript.whisperx[52].end 5579.546
transcript.whisperx[52].text 繼續質詢,決定下次會議進行交通組織執行,宣讀完畢。報言會針對第一會期第20次會議意思錄並無委員或黨團提出錯誤或遺漏之處,我們作以下的決定。第一會期第20次的會議意思錄確定,請宣讀第二案。
transcript.whisperx[53].start 5580.27
transcript.whisperx[53].end 5599.94
transcript.whisperx[53].text 第二案(本院委員林月琴等10千人鄰居身心障礙者權益保障法第53條條維修證草案請審議案(財修委員會見臨時委員會交社會福利及優先環境委員會審查(宣布完畢第三案(本院委員何欣淳等10千人鄰居勞工保險條0058條條維修證草案請審議案(財修委員會見臨時委員會交社會福利及優先環境委員會審查(宣布完畢
transcript.whisperx[54].start 5606.644
transcript.whisperx[54].end 5630.774
transcript.whisperx[54].text 第四案,本院委員何欣淳等17人離聚,勞工退休金條例第24條條文修正草案請水印案。陳修緣會議見,理事院會將用社會福利及衛生環境委員會審查,宣言完畢。第五案,本院委員何欣淳等17人離聚,勞動基準法第53條條文修正草案請水印案。陳修緣會議見,理事院會將用社會福利及衛生環境委員會審查,宣言完畢。
transcript.whisperx[55].start 5632.214
transcript.whisperx[55].end 5633.915
transcript.whisperx[55].text 第六案.第七案.第八
transcript.whisperx[56].start 5660.353
transcript.whisperx[56].end 5662.595
transcript.whisperx[56].text 第八案.第九案.第九案.
transcript.whisperx[57].start 5683.797
transcript.whisperx[57].end 5700.127
transcript.whisperx[57].text 第十案本院委員範圍短時間的領據親駐民權以保證把草案情勢迎案。求求院會見您請院會將內政委員會審查。宣言完畢。報告院會報告事項第十案現有民進黨黨團提案提議近乎二讀與相關提案並按協商請問院會有異議
transcript.whisperx[58].start 5703.138
transcript.whisperx[58].end 5704.879
transcript.whisperx[58].text 第11案第12案第12案
transcript.whisperx[59].start 5730.589
transcript.whisperx[59].end 5752.225
transcript.whisperx[59].text 第13案本院委員陳慶慧等18人聯聚,宣新障礙者權益保障法第53條條文修正的草原侵水一案。陳修委員會見理事委員會將用社會福利及衛生環境委員會審查。宣告完畢。第14案本院委員陳慶慧等17人聯聚,就業保障法第10條第11條及第19條之3條文修正的草原侵水一案。
transcript.whisperx[60].start 5752.965
transcript.whisperx[60].end 5778.944
transcript.whisperx[60].text 陳秀園會見:內政委員會審查:宣傳完畢第15案北院委員吳佩儀等16人聯聚新住民權益保障法草案情緒一案陳秀園會見:內政委員會審查:宣傳完畢報告院會報告事項第15案現有民進黨黨團提禁服二讀與相關提案閉案協商請問院會有異議沒有異議通過下案
transcript.whisperx[61].start 5779.414
transcript.whisperx[61].end 5803.55
transcript.whisperx[61].text 第16案 北洋委員陳雪山等二選人連續離島牽涉條例增立第7條至1條文草案情緒一案。陳旭委員會屆立行委會將經濟委員會審查宣讀完畢。報告委員會報告事項第16案現由民進黨黨團提議退回陳旭委員會重新提出請問委員會有異議?無異議通過下一案國民黨團各黨團有沒有異議?
transcript.whisperx[62].start 5806.004
transcript.whisperx[62].end 5809.906
transcript.whisperx[62].text 五一通過下案五一通過下案五一通過下案
transcript.whisperx[63].start 5831.098
transcript.whisperx[63].end 5852.784
transcript.whisperx[63].text 第19案 本月委員陳學生的23人離聚有限廣播電視法第10條條文修正草案請審議案。陳修緣會見臨行會交交通委員會審查。宣布完畢。第20案 本月委員陳學生的23人離聚衛星廣播電視法第5條條文修正草案請審議案。陳修緣會見臨行會交交通委員會審查。宣布完畢。
transcript.whisperx[64].start 5854.184
transcript.whisperx[64].end 5877.213
transcript.whisperx[64].text 第21案本院委員陳雪生的16人鄰居,社會福利基本法第18條條文修正財運情勢一案。陳修園會見列行委會交用社會福利及衛生環境委員會審查,宣布完畢。第22案本院委員陳雪生的16人鄰居,長期照顧服務法第14條條文修正財運情勢一案。陳修園會見列行委會交用社會福利及衛生環境委員會審查,宣布完畢。
transcript.whisperx[65].start 5878.573
transcript.whisperx[65].end 5900.746
transcript.whisperx[65].text 第23案本月委員陳學生等16人理據緊急醫療救護法第23條條文修憲草原請選一案。陳修緣會接連行會交社會福利修憲環境委員會審查 宣言完畢第24案本月委員賴瑞龍等16人理據職務閃聊事法草原請選一案。陳修緣會接連行會交經濟委員會審查 宣言完畢
transcript.whisperx[66].start 5901.226
transcript.whisperx[66].end 5904.949
transcript.whisperx[66].text 第25案(本院委員陳培宇等16人離聚,情勢訴訟法第101條11條維修政策請審議案。才修委員會見臨時委員會交交司法計劃,修委員會審查,宣言完畢
transcript.whisperx[67].start 5925.475
transcript.whisperx[67].end 5928.196
transcript.whisperx[67].text 無異通過下一案.第27案.無異通過下一案.第28案.無異通過下一案.
transcript.whisperx[68].start 5948.564
transcript.whisperx[68].end 5963.011
transcript.whisperx[68].text 報告委員會報告事項第28案現有民進黨黨團提議退回程序委員會重新提出請問委員會有異議沒有異議通過下一案本會本案退回程序委員會重新提出下一案
transcript.whisperx[69].start 5963.424
transcript.whisperx[69].end 5986.389
transcript.whisperx[69].text 第29案(本委員羅廷維等20人聯聚外送平台管理機從業人員權益保障法草案侵水一案(財修委員會借年期委員會加入社會福利優先環境委員會審查,宣布完畢。第30案(本委員王玉敏等16人聯聚環境影響評估法第5條條無修正草案侵水一案(財修委員會借年期委員會加入社會福利優先環境委員會審查,宣布完畢。
transcript.whisperx[70].start 5987.589
transcript.whisperx[70].end 6010.61
transcript.whisperx[70].text 第31案.委員王玉敏等16人聯聚外送平臺管理機從業人員權益保障法草案請選一案.修園會見您請回家後社會福利及外生環境委員會審查。宣告完畢。第32案.委員廖偉翔等16人聯聚學生福濤法部分條文修正草案請選一案.修園會見您請回家後消費及文化委員會審查。宣告完畢。
transcript.whisperx[71].start 6012.051
transcript.whisperx[71].end 6012.852
transcript.whisperx[71].text 無異議通過下議案
transcript.whisperx[72].start 6025.558
transcript.whisperx[72].end 6050.057
transcript.whisperx[72].text 第34案本院臺灣民眾黨黨團聯聚外送平台管理機從業人員權益保障法草案請審議案。陳秀元會見您請回家用社會福利及衛生環境委員會審查宣布外幣。第35案本院臺灣民眾黨黨團聯聚身心專業者權益保障法第53條條文修憲草案請審議案。陳秀元會見您請回家用社會福利及衛生環境委員會審查宣布外幣。
transcript.whisperx[73].start 6051.278
transcript.whisperx[73].end 6062.202
transcript.whisperx[73].text 第三十六案(北院臺灣民眾黨黨團聯聚暫時領域發展條例第3條及第13條條維修正常性審議案.修委員會見.聯席委員會交交經濟委員會審查.宣布完畢。第三十七案.北院臺灣民眾黨黨團聯聚運動產業發展條例增立第7條之一及第7條之二條文草案勤審議案.修委員會見.聯席委員會交交交解文化委員會審查.宣布完畢。
transcript.whisperx[74].start 6076.807
transcript.whisperx[74].end 6098.381
transcript.whisperx[74].text 第38案,委員臺灣民眾囊囊團聯聚,產業創新條例第30條條務修正草原清水因案,採取委員會見,臨時委員會加入經濟財政聯盟委員會審查,宣傳完畢。第39案,行政院海警宣映,國家語言研究發展重新修正條例草原案,採取委員會見,臨時委員會加入司法及法治教育及文化聯盟委員會審查,宣傳完畢。
transcript.whisperx[75].start 6099.742
transcript.whisperx[75].end 6119.143
transcript.whisperx[75].text 第41屆九月涵送財政法人國防工業發展基金會一百十二年度決算書案﹐財政法人國防工業發展基金會一百十二年度決算書案、財政法人國防工業發展基金會一百十二年度決算書案、財政法人國防工業發展基金會一百十二年度決算書案、財政法人國防工業發展基金會一百十二年度決算書案、財政法人國防工業發展基金會一百十二年度決算書案、財政法人國防工業發展基金會一百十二年度決算書案、財政法人國防工業發展基金會一百十二年度決算書案、財政法人國防工業發展基金
transcript.whisperx[76].start 6122.466
transcript.whisperx[76].end 6142.162
transcript.whisperx[76].text 第42案.國防部捍衛該部所屬113年度預算.迎接工程科目所需設備及投資.申請通知地域北京暨新台幣10億元.業經行政院主席總署同意備案.陳秀元會見理行會加外交及國防委員會.宣讀完畢第43案.國防部捍衛修正國防醫學院組織規程第五條條文.陳秀元會見理行會加外交及國防兩委員會.宣讀完畢
transcript.whisperx[77].start 6151.209
transcript.whisperx[77].end 6152.332
transcript.whisperx[77].text 無異議通過下言。
transcript.whisperx[78].start 6161.274
transcript.whisperx[78].end 6180.713
transcript.whisperx[78].text 第44案.中央選舉委員會海灣修正.中央選舉委員會編制表.常修委員會界臨行會交互司法及法治內政兩委員會.宣讀完畢。第45案.內政部海外廢止.國家公園管理處組織準則的20項法規及編制表.常修委員會界臨行會交互司法及法治內政兩委員會.宣讀完畢。
transcript.whisperx[79].start 6182.495
transcript.whisperx[79].end 6185.218
transcript.whisperx[79].text 五一通過下議案五一通過下議案五一通過下議案
transcript.whisperx[80].start 6204.378
transcript.whisperx[80].end 6207.359
transcript.whisperx[80].text 第40方案.第42海洋務員會海外修正海域環境分類及海洋環境品質標準.
transcript.whisperx[81].start 6225.908
transcript.whisperx[81].end 6245.078
transcript.whisperx[81].text 第52、海洋務員會行為修正、海域環境監測集、監測轉設施辦法、財修委員會建立、請募集內政委員會、宣讀完畢。第51、海洋務員會行為海洋環境污染清除處理辦法、明宣修正委、海洋污染清除處理辦法並修正條文、財修委員會建立、請募集內政委員會、宣讀完畢。
transcript.whisperx[82].start 6248.55
transcript.whisperx[82].end 6250.513
transcript.whisperx[82].text 五、一通過下一案五、一通過下一案
transcript.whisperx[83].start 6262.418
transcript.whisperx[83].end 6281.55
transcript.whisperx[83].text 第53案,海洋委員會海灣修正,陸上污染原廢空水排放於特定海域許可辦法,柴州委員會見內勤會交內政委員會,宣讀完畢。厲通過下一案第54案,經濟部海灣修正工廠危險物品投保公共意外責任保險辦法,第三條及第六條條文,柴州委員會見內勤會交經濟委員會,宣讀完畢。厲通過下一案
transcript.whisperx[84].start 6285.692
transcript.whisperx[84].end 6294.375
transcript.whisperx[84].text 第55案 經濟部海維修縣工廠危險物品申報本法第11條及第12條條文,採訊委員會見臨時委員會交經濟委員會,宣傳閉。第56案 經濟部海維修縣度量衡器指定實驗室篆刻管理本法第16條及第20條條文,採訊委員會見臨時委員會交經濟委員會,宣傳閉。
transcript.whisperx[85].start 6308.217
transcript.whisperx[85].end 6322.835
transcript.whisperx[85].text 報告委員會現在在議場二樓旁聽席是苗栗縣我們私立九年文理短期補習班所有的同學歡迎大家來立法院我們掌聲鼓勵無疑通過下一案
transcript.whisperx[86].start 6323.496
transcript.whisperx[86].end 6330.622
transcript.whisperx[86].text 第57案經濟部海外修正、礦業、規費、收費標準﹐陳秀元會見、聯席委員會、交通經濟委員會﹐宣讀完畢。第58案經濟部海外修正、自由貿易、港區事業、舒緩國外、英金和轉生貨品之機關名稱﹐陳秀元會見、聯席委員會、交通經濟委員會﹐宣讀完畢。
transcript.whisperx[87].start 6343.533
transcript.whisperx[87].end 6355.281
transcript.whisperx[87].text 第59案.經濟部海外修正限制輸出貨品表﹐我國產制制158項鋼鐵貨品輸往歐盟採信管理措施﹐強修委員會見臨時會交經濟委員會﹐宣布完畢。第60案.經濟部海外修正商標規規收費標準﹐強修委員會見臨時會交經濟委員會﹐宣布完畢。
transcript.whisperx[88].start 6365.171
transcript.whisperx[88].end 6388.229
transcript.whisperx[88].text 無異通過下議案.第61案.經濟牧海維修陣商標法施行性色不翻條文陳秀揚會見臨行會長經濟委員會宣布完畢.無異通過下議案.第62案.經濟牧海維修陣無風管供氣調節機容許耗用能源精準與能源效率分期標示事項方法及檢查方式第六點附圖一陳秀揚會見臨行會長經濟委員會宣布完畢.無異通過下議案.
transcript.whisperx[89].start 6391.331
transcript.whisperx[89].end 6404.095
transcript.whisperx[89].text 第63案(經濟武漢送商標代理人登錄及管理辦法﹑程序委員會見﹑例行會加工經濟委員會﹑宣傳完畢第64案﹑經濟武漢修正臺紐經濟合作協定原產力說明書相關事項日經官名稱﹑程序委員會見﹑例行會加工經濟委員會﹑宣傳完畢
transcript.whisperx[90].start 6411.698
transcript.whisperx[90].end 6436.869
transcript.whisperx[90].text 第65案經濟部委員本月第11屆第一會期第11次會議.一﹐要求民進黨執政的行政院旅行政治承諾﹐立即停止在莊濱工業區興建金頂焚化爐﹐簡送該部書面答覆﹐強修委員會建立協會加入經濟社會福利及衛生環境的兩委員會﹐宣讀完畢報告委員會本案由臺灣民眾黨黨團體改交審查本案交經濟社會福利及衛生環境兩委員會審查
transcript.whisperx[91].start 6438.55
transcript.whisperx[91].end 6440.132
transcript.whisperx[91].text 下一案議員通過下一案
transcript.whisperx[92].start 6456.369
transcript.whisperx[92].end 6475.844
transcript.whisperx[92].text 第67二,農業部行為行政院農業委員會,農田水利署,屏東管理處,農田水利事業區域,名稱修正為,農業部農田水利署,屏東管理處,農田水利事業區域,並修正事業區域,成修委員會見,立行會將經濟委員會宣布完畢。第68二,農業部行為修正農業部農田水利署,桃園管理處,農田水利設施範圍,成修委員會見,立行會將經濟委員會宣布完畢。
transcript.whisperx[93].start 6485.091
transcript.whisperx[93].end 6506.71
transcript.whisperx[93].text 第69案 農業部海維修正農業部農田水利署苗栗管理署農田水利事業區域陳秀陽會見立行會長 經濟委員會 宣傳完畢無異通過下議案第70案 農業部海維修正委員神調獲經委委員王雲泉赴太平洋作業管理班發布分條文及地方條附件60附件9陳秀陽會見立行會長 經濟委員會 宣傳完畢無異通過下議案
transcript.whisperx[94].start 6509.833
transcript.whisperx[94].end 6522.589
transcript.whisperx[94].text 第七十一案 農業貿易修正公告美國阿拉巴馬州、愛爾荷華州、猶他州、馬里蘭州、蒙特納州及賓夕法尼亞州為公民原性交情流行性感冒肺炎區財修委員會見,立行會將經濟委員會宣布完畢。
transcript.whisperx[95].start 6526.954
transcript.whisperx[95].end 6542.167
transcript.whisperx[95].text 第72案,金融監督管理委員會還沒修正,公開發行公司建立內部控制制度處理準則部分條文,及證券及期貨市場各服務事業,建立內部控制制度處理準則第八條第十四條第39條條文,強修委員會見議請回交財政委員會,宣讀完畢。
transcript.whisperx[96].start 6546.331
transcript.whisperx[96].end 6555.134
transcript.whisperx[96].text 第73案﹚七種監督管理委員會函送本院增訂政卷投資信託及顧問法﹚第70條之一及第113條之一條文通過附帶決議及書面報告﹚陳修委員會及聯席委員會及財政委員會﹚宣布完畢。
transcript.whisperx[97].start 6565.034
transcript.whisperx[97].end 6585.457
transcript.whisperx[97].text 第74案財政部含存房屋稅條例第5條及與第15條第一項第9會規定住家用房屋互出認定及申報責定辦法。財政委員會建議請回交財政委員會。宣讀完畢。財政委員會本案由臺灣民主黨黨團體改交審查。本案交財政委員會審查。下一案
transcript.whisperx[98].start 6586.018
transcript.whisperx[98].end 6602.618
transcript.whisperx[98].text 第75案財稅部行為修正出家用粉無公自住及公益出租人出租使用任地標準。財稅委員會皆立行會交財政委員會。宣讀完畢。報言會本案由臺灣民眾黨黨團體改交審查。本案交財政委員會審查。下一案
transcript.whisperx[99].start 6603.154
transcript.whisperx[99].end 6624.532
transcript.whisperx[99].text 第七十六案財政委員本月修正房屋稅條例部分條文通過負擔決議解送房屋稅條例修正券實施效益及成本稅收影響數、財源籌措及配套措施書面報告。財政委員會見立行會交財政委員會。稅讀完畢報告委員會本案由臺灣民眾黨黨團體改交審查本案交財政委員會審查下一案
transcript.whisperx[100].start 6624.98
transcript.whisperx[100].end 6653.555
transcript.whisperx[100].text 第七十七案 教育部函送國民小學及國民中學正常教學讀導辦法 才修研會及理性化教育及文化委員會 宣讀完畢。第七十八案 教育部函為高級中等校學校特殊教育班班級及專責單位設置與人員經用辦法並修正為 高級中等校學校及幼兒園特殊教育班班級與專責單位設置及人員經用辦法並修正條文 才修研會及理性化教育及文化委員會
transcript.whisperx[101].start 6654.395
transcript.whisperx[101].end 6656.736
transcript.whisperx[101].text 無異議通過下議案無異議通過下議案無異議通過下議案
transcript.whisperx[102].start 6681.624
transcript.whisperx[102].end 6701.971
transcript.whisperx[102].text 第81案﹐秋東部海外交通部觀光局及所屬各國家風景區管理處﹐處理長巡國家及風景特地區範圍案件收費標準名稱修正為﹐秋東部觀光局及所屬各國家風景區管理處﹐處理長巡國家及風景特地區範圍案件收費標準﹐秋東部觀光局辦理觀光旅館及﹐
transcript.whisperx[103].start 6702.751
transcript.whisperx[103].end 6731.623
transcript.whisperx[103].text 旅館等級評鑒收費標準名稱修正為﹐交通部觀光署辦理觀光旅館及旅館等級評鑒收費標準並修正條文﹐財修委員會見逆行匯交交通委員會﹐宣讀完畢﹐無異通過下一案﹐第82案﹐交通部海文採用國際海事組織所屬海洋環境防護委員會所采量MEPC.36079等三件防止船舶污染國際公約修正案﹐財修委員會見逆行匯交交通委員會﹐宣讀完畢﹐無異通過下一案﹐
transcript.whisperx[104].start 6731.963
transcript.whisperx[104].end 6756.076
transcript.whisperx[104].text 第八十三案 勞動部海外修正 勞動部勞動基金運用局處規程 第六條 第八條及第十五條條文 採取委員會見 理事委員會加入司法及法律 社會福利及萬象環境委員會 宣讀完畢第八十四案 衛生福利部海外修正 應建立食品追溯 追蹤系統支持品業者 採取委員會見 理事委員會加入社會福利及萬象環境委員會 宣讀完畢
transcript.whisperx[105].start 6756.676
transcript.whisperx[105].end 6778.588
transcript.whisperx[105].text 報告委員會本案國民黨黨團體改交審查本案交社會福利及衛生環境委員會審查下一案第85案環境武漢送空氣中二氧化碳自動檢驗方法順槍順檢像儀法NI-EAA-459-210C強修委員會建立新華僑社會福利及衛生環境委員會宣禁完畢無語通過下一案
transcript.whisperx[106].start 6779.348
transcript.whisperx[106].end 6779.889
transcript.whisperx[106].text 無異通過下一案
transcript.whisperx[107].start 6795.248
transcript.whisperx[107].end 6795.989
transcript.whisperx[107].text 無異議通過下一案
transcript.whisperx[108].start 6817.722
transcript.whisperx[108].end 6838.413
transcript.whisperx[108].text 第88案,密法務部函送,中華美國臺灣法務部調查局期前防事處與巴哈馬金融情報中心,為與涉及期前相關前置犯罪及資助恐怖主義金融情勢交換合作了解偏往路,我方淪陷之英文、日本及中日本銀本。陳秀揚會見。理事委員會交出司法及法治外交及國防勞委員會。宣讀完畢。
transcript.whisperx[109].start 6839.053
transcript.whisperx[109].end 6844.536
transcript.whisperx[109].text 無異議通過報告委員會第89案至252案請依序宣讀其中第91、92、94、96、214、217、236、242、251案臺灣民眾黨黨團提議改交審查宣讀後
transcript.whisperx[110].start 6861.664
transcript.whisperx[110].end 6874.229
transcript.whisperx[110].text 以上提案均改交相關委會審查。其餘的議案均照程序委員會意見通過。請問院會有無異議?沒有異議我們宣讀後通過。請宣讀。
transcript.whisperx[111].start 6875.216
transcript.whisperx[111].end 6891.694
transcript.whisperx[111].text 第189案至第92案國家方向委員會﹚第93公平交易委員會﹚第94案至第99案經濟部﹚第100案核能安全委員會﹚第10案至第130案教育部﹚第131案至第14間文化部﹚第14方案至第180案國家科學及技術委員會﹚
transcript.whisperx[112].start 6892.515
transcript.whisperx[112].end 6893.736
transcript.whisperx[112].text 第二百五十三案以下請一併宣讀
transcript.whisperx[113].start 6914.338
transcript.whisperx[113].end 6936.091
transcript.whisperx[113].text 宣讀後均準與備查。請宣讀。第253案為本院社會福提供生環境外交及國防委員會函為院會教部選擇勞動部函送出印度台北經濟文化中心與印度台北協會促進僱用印度勞工瞭解變化路之中英及印地文文本一本案。已經選擇完均準與備查並通過附帶決議二項。
transcript.whisperx[114].start 6939.053
transcript.whisperx[114].end 6964.595
transcript.whisperx[114].text 第254案為本院教育及文化委員會函。委員會交付審查相關情勢命令,均已於立法院職權行使法第61條鎖定審查期限,執行事項及行政院答覆部分。前期面函送本院羅委員最強所提職勤間書面答覆供應件,以本院委員職勤部分,本院羅委員最強向行政院提出職勤供應件。宣讀完畢。報告委員會
transcript.whisperx[115].start 6966.427
transcript.whisperx[115].end 6983.013
transcript.whisperx[115].text 憲法法庭來函通知本院就柯建民委員等51人申請案事先申請案等請本院委任訴訟代理人本案已定於上午11點在議場三樓進行黨團協商請各黨團幹部屆時至議場三樓出席現在休息
transcript.whisperx[116].start 7042.261
transcript.whisperx[116].end 7046.869
transcript.whisperx[116].text 響鐘
transcript.whisperx[117].start 7117.799
transcript.whisperx[117].end 7124.55
transcript.whisperx[117].text 委員會主席
transcript.whisperx[118].start 7246.169
transcript.whisperx[118].end 7247.073
transcript.whisperx[118].text 響鐘
transcript.whisperx[119].start 7298.319
transcript.whisperx[119].end 7299.002
transcript.whisperx[119].text 響鐘
transcript.whisperx[120].start 7612.534
transcript.whisperx[120].end 7615.06
transcript.whisperx[120].text 響鐘
transcript.whisperx[121].start 7919.445
transcript.whisperx[121].end 7935.913
transcript.whisperx[121].text 響鐘
transcript.whisperx[122].start 7945.503
transcript.whisperx[122].end 7949.531
transcript.whisperx[122].text 響鐘
transcript.whisperx[123].start 7986.379
transcript.whisperx[123].end 7989.592
transcript.whisperx[123].text 法定人數不足
transcript.whisperx[124].start 8271.749
transcript.whisperx[124].end 8274.07
transcript.whisperx[124].text 響鐘
transcript.whisperx[125].start 8341.34
transcript.whisperx[125].end 8343.507
transcript.whisperx[125].text 響鐘
transcript.whisperx[126].start 8379.599
transcript.whisperx[126].end 8403.626
transcript.whisperx[126].text 響鐘響鐘
transcript.whisperx[127].start 8682.5
transcript.whisperx[127].end 8689.002
transcript.whisperx[127].text 響鐘
transcript.whisperx[128].start 8717.067
transcript.whisperx[128].end 8718.452
transcript.whisperx[128].text 主席
transcript.whisperx[129].start 9473.575
transcript.whisperx[129].end 9475.009
transcript.whisperx[129].text 響鐘
transcript.whisperx[130].start 9521.664
transcript.whisperx[130].end 9541.015
transcript.whisperx[130].text 響鐘
transcript.whisperx[131].start 10495.486
transcript.whisperx[131].end 10498.507
transcript.whisperx[131].text 響鐘
transcript.whisperx[132].start 10632.381
transcript.whisperx[132].end 10634.497
transcript.whisperx[132].text 響鐘
transcript.whisperx[133].start 13058.268
transcript.whisperx[133].end 13060.674
transcript.whisperx[133].text 響鐘
transcript.whisperx[134].start 13304.292
transcript.whisperx[134].end 13305.299
transcript.whisperx[134].text 響鐘
transcript.whisperx[135].start 13799.138
transcript.whisperx[135].end 13799.718
transcript.whisperx[135].text 響鐘
transcript.whisperx[136].start 19042.803
transcript.whisperx[136].end 19043.892
transcript.whisperx[136].text 主席
transcript.whisperx[137].start 19269.855
transcript.whisperx[137].end 19275.759
transcript.whisperx[137].text 響鐘
transcript.whisperx[138].start 19611.937
transcript.whisperx[138].end 19615.213
transcript.whisperx[138].text 響鐘
transcript.whisperx[139].start 19849.599
transcript.whisperx[139].end 19853.166
transcript.whisperx[139].text 響鐘
transcript.whisperx[140].start 20545.23
transcript.whisperx[140].end 20546.305
transcript.whisperx[140].text 響鐘
transcript.whisperx[141].start 20883.812
transcript.whisperx[141].end 20885.839
transcript.whisperx[141].text 主席
transcript.whisperx[142].start 20929.828
transcript.whisperx[142].end 20931.029
transcript.whisperx[142].text 主席
transcript.whisperx[143].start 20960.626
transcript.whisperx[143].end 20974.599
transcript.whisperx[143].text 報告委員會現在繼續開會,有關憲法法庭通知等案,現在我們進行臨時報告本案以完成朝野協商。請議事人員宣讀朝野黨團協商結論。
transcript.whisperx[144].start 20977.011
transcript.whisperx[144].end 20992.685
transcript.whisperx[144].text 立法院黨團協商結論時間113年7月5日星期五上午11時地點異常三樓會議室決定事項一有關憲法法庭通知本院舊委員柯建明等51人行政院總統耐清德監察院等申請
transcript.whisperx[145].start 20993.826
transcript.whisperx[145].end 21008.324
transcript.whisperx[145].text 案請本院推派代表、訴訟代理人及延遲辯論鑑定人。各黨團同意由國民黨黨團推薦二位,臺灣民眾黨黨團推薦一位擔任本次申請案含暫時處分部分之訴訟代理人。
transcript.whisperx[146].start 21009.332
transcript.whisperx[146].end 21031.415
transcript.whisperx[146].text 本院機關代表:上述比例推派委員:有關推薦專家學者擔任延遲辯論鑑定人部分由國民黨黨團、臺灣民眾黨黨團各推薦一位。訴訟代理人名單請於7月5日下午4時,其他名單請於7月8日中午12時前送至法治局。
transcript.whisperx[147].start 21032.256
transcript.whisperx[147].end 21057.992
transcript.whisperx[147].text 必憑辦理後續委任及呈報等相關事宜。主持人韓國瑜將啟程。協商代表柯建明、吳思瑤、莊瑞雄、傅坤祺、洪孟凱、林思敏、黃國昌、黃珊珊、吳春成。宣讀完畢。報告委員會,請問對以上朝野協商結論有無意義?沒有意義沒有意義沒有意義我們通過
transcript.whisperx[148].start 21060.53
transcript.whisperx[148].end 21083.003
transcript.whisperx[148].text 113年7月5日朝野黨團協商結論,經決定如下。一、有關憲法法庭通知本院舊委員柯建民等51人,行政院、總統賴清德、監察院等申請案,請本院推派代表。
transcript.whisperx[149].start 21084.257
transcript.whisperx[149].end 21098.01
transcript.whisperx[149].text 訴訟代理人及言辭辯論鑑定人各黨團同意由國民黨團推薦兩位臺灣民眾黨黨團推薦一位擔任本次申請案含暫時處分部分之訴訟代理人
transcript.whisperx[150].start 21099.414
transcript.whisperx[150].end 21121.193
transcript.whisperx[150].text 本院機關代表依上述比例推派委員。有關推薦專家學者擔任延遲辯論鑑定人部分,由國民黨團、臺灣民眾黨黨團各推薦一位。訴訟代理人名單請於7月5日下午4時,其他名單於7月8日中午12時送至法治局。
transcript.whisperx[151].start 21122.202
transcript.whisperx[151].end 21132.77
transcript.whisperx[151].text 我們辦理後續委任及呈報等相關事宜。報告委員會下午2點半我們繼續進行行政院院長報告施政方針繼續質詢。我們現在休息。
transcript.whisperx[152].start 21601.363
transcript.whisperx[152].end 21611.672
transcript.whisperx[152].text 報告院會現在繼續開會,對行政院院長報告施政方針繼續質詢。今天進行個人質詢、交通組織質詢。請羅委員自強質詢。議員掌聲
transcript.whisperx[153].start 21626.906
transcript.whisperx[153].end 21630.531
transcript.whisperx[153].text 副院長有請行政院長請卓院長備詢
transcript.whisperx[154].start 21642.404
transcript.whisperx[154].end 21670.679
transcript.whisperx[154].text 委員好所謂院長在我開始正式質詢之前我想先為我們的行政團隊你的行政團隊報個屈啦我覺得行政團隊昨天受到很大的羞辱我覺得身為行政院院長應該幫他們講講話昨天你知道發生什麼事嗎你說院內的事嗎對啊立法院發生什麼事立法院癱瘓了四個委員會啊你知道哪四個委員會被癱瘓嗎這我不清楚
transcript.whisperx[155].start 21671.243
transcript.whisperx[155].end 21697.063
transcript.whisperx[155].text 你不清楚欸,院長不會吧?行政立法你今天到在對立法院負責,你的官員們在立法院基本上枯坐一整天,被癱瘓了四個委員會你都不知道?我不知道,我尊重院內在開會。你的肩膀還真是夠寬啊,連這麼重要的事都不知道。被癱瘓了內政、經濟、外交國防委員會,還有司法法治委員會。你知道為什麼被癱瘓嗎?
transcript.whisperx[156].start 21699.095
transcript.whisperx[156].end 21725.538
transcript.whisperx[156].text 開會不順利是不是?開會不順利啊是因為民進黨的所有的立法委員跑去霸占內政委員會的主席台當然民進黨的委員有一些政治法案上的立場不同愛霸占就霸占這是民進黨傳統跟慣例那這個就算了不一定了這就算了啦昨天就發生了不一定昨天叫一定在你的字眼叫不一定在昨天叫一定
transcript.whisperx[157].start 21726.55
transcript.whisperx[157].end 21753.21
transcript.whisperx[157].text 那我今天要告訴你民進黨的囂張跟跋扈在哪裡你知道嗎?不知道你如果因為說罷免選罷法修正案你不高興你不爽你要把內政委員會癱瘓那我想請問你昨天我們的外交國防委員會NCC法務部還有包括這個調查局的所有的單位對不對通傳會的單位
transcript.whisperx[158].start 21754.93
transcript.whisperx[158].end 21772.417
transcript.whisperx[158].text 為什麼今天連外交國防委員會也要被癱瘓掉?講個道理出來嘛!那想請教你們的閣議員們在那邊因為王定宇落跑不主持會議結果呢搞到所有官員哭坐在那邊你不為他們覺得委屈嗎?
transcript.whisperx[159].start 21773.737
transcript.whisperx[159].end 21796.885
transcript.whisperx[159].text 我們還是尊重院內開會的秩序不只是外交、國防、經濟委員會是一樣啊還有包括司法法治委員會是一樣我要這邊跟大家說跟院長說一件事情明明這三個委員會不管你們講任何政治主張你就算癱瘓內政委員會其實這三個委員會都不用賠帳
transcript.whisperx[160].start 21798.527
transcript.whisperx[160].end 21811.581
transcript.whisperx[160].text 可是民進黨就是傳統囂張跋扈的文化嘛我今天要開會內政委員會我連當召委的王定宇可以繞跑當召委的鍾嘉斌可以繞跑當召委的邱怡婷可以繞跑
transcript.whisperx[161].start 21813.55
transcript.whisperx[161].end 21840.153
transcript.whisperx[161].text 讓跑三人組嗎?然後讓官員們浪費時間,鑽個地方,官員很辛苦啊。我昨天就問我們法務部次長啊,洗錢防治法重不重要,請問院長。我先想問你嘛,洗錢防治法重不重要嘛。對嘛,都重要嘛。態度很正確啊。我也相信我們那時候出席的法務部次長,洗錢防治法一定準備很充分啊。
transcript.whisperx[162].start 21841.072
transcript.whisperx[162].end 21866.274
transcript.whisperx[162].text 可是我上去質詢沒有主席無法質詢所以他不能上來回答這就是今天我要告訴你回頭還是這句話你民進黨要癱瘓內政委員會不要連累行政團隊的閣員我今天在這裡是因為你不願意幫他們報區我幫他們報區啊他們不是傀儡不是道具不是Galiana坐在那個地方欽差你民進黨立法院黨團糟蹋啦
transcript.whisperx[163].start 21867.495
transcript.whisperx[163].end 21867.895
transcript.whisperx[163].text 報告委員該報區我會報區
transcript.whisperx[164].start 21897.915
transcript.whisperx[164].end 21905.24
transcript.whisperx[164].text 三個委員,民進黨要看換內政委員會缺三個召委嗎?請問那三個召委責任是什麼在昨天?你也當過立法委員喔?對啊,你也曾經當過立法委員啊?請問召委的責任是什麼?
transcript.whisperx[165].start 21923.354
transcript.whisperx[165].end 21949.189
transcript.whisperx[165].text 稍微就是召集主持會議安排議程讓官員來備詢阿把公務做好阿誠實回答委員的請勸所以我還是那個結論很簡單我也不知道你也不會你也不敢講什麼啦我可以體諒你啦但是我就要講很簡單今天民進黨昨天做出最壞的示範沒有討論沒有民主連開會都被你罷掉癱瘓掉民主什麼阿每天喊民主來我想請教你下一個問題
transcript.whisperx[166].start 21952.759
transcript.whisperx[166].end 21978.979
transcript.whisperx[166].text 在下一個問題之前我先講一下我自己分享一些對台灣民主發展的一些看法我在2006年加入國民黨的事實上在2000年之前第一次政黨輪替之前我不喜歡當時的國民黨原因兩個第一個當時的威權時代的國民黨前置新聞自由第二個當時國民黨一黨獨大缺乏制衡
transcript.whisperx[167].start 21980.014
transcript.whisperx[167].end 22008.775
transcript.whisperx[167].text 事實上在2000年第一次政黨輪替之前我也從來沒有投票給國民黨過1998年高雄市市長選舉我還投給謝長廷不是因為我很喜歡謝長廷單純就是因為我覺得國民黨權力太大缺乏制衡我覺得應該要讓民進黨可以得到一些權力來制衡這個獨大的國民黨不過我倒沒有想到結果謝長廷變成這輩子告我告最多的人
transcript.whisperx[168].start 22009.893
transcript.whisperx[168].end 22031.836
transcript.whisperx[168].text 因為對因為在關西機場風暴當中他推謝哲任推給大阪處結果害大阪處優秀的外交官犧牲掉我批評他謝哲他告我兩次同一件事告我兩次兩次法院都判他輸打臉也認真他就是一個謝哲的駐日代表
transcript.whisperx[169].start 22032.779
transcript.whisperx[169].end 22059.418
transcript.whisperx[169].text 我要講這件事是什麼告訴今天我們的院長我一直相信一個民主的鐵律絕對的權利使人絕對的腐化國民黨如此民進黨如此任何黨也是如此沒有制衡就沒有民主好問題來了我要跟你討論第一個題目就是新聞自由我想請教院長你認不認同沒有新聞自由就沒有民主
transcript.whisperx[170].start 22060.797
transcript.whisperx[170].end 22077.127
transcript.whisperx[170].text 當然我們全力保障新聞的自由是民主重要的條件之一嘴巴全力保障新聞自由來看看實際做了什麼針對東森新聞台的政論節目被指遭到大陸媒體盯梢一案有一個人這麼說啦
transcript.whisperx[171].start 22078.713
transcript.whisperx[171].end 22093.953
transcript.whisperx[171].text 調查這件事情不是很難的事情。如果沒有牽涉複雜情節,一個星期應可公布調查結果。這句話誰說的?我說的。非常好。請問調查結果出來了沒有?調查局立案在調查中。
transcript.whisperx[172].start 22095.074
transcript.whisperx[172].end 22097.515
transcript.whisperx[172].text 你們兩個進度都太慢。行政團隊有一位傑出人才已經把調查結果說出來你知道是誰嗎?
transcript.whisperx[173].start 22122.944
transcript.whisperx[173].end 22129.104
transcript.whisperx[173].text 主委會副主委梁文傑他比你兩個更果斷他直接說沒有爆料人結束啦
transcript.whisperx[174].start 22130.776
transcript.whisperx[174].end 22159.745
transcript.whisperx[174].text 沒有爆料人嗎?請問一下我們的主委,沒有爆料人嗎?目前我們沒有接到任何的檢舉案件。沒有爆料人齁?來,請問一下院長,沒有爆料人嗎?我看到陸委會梁副主委說的這個答覆的說法,那是他在這個時候他的認知跟他手上的資訊是如此,但調查局竟在立案調查中。好啦,個人說法了齁,那我直接問你啦,兩個自由時報寫丁上岸的記者算不算爆料?
transcript.whisperx[175].start 22162.922
transcript.whisperx[175].end 22165.463
transcript.whisperx[175].text 兩個自由時報,自由時報報道這個新聞算不算爆料?算不算嘛?
transcript.whisperx[176].start 22170.51
transcript.whisperx[176].end 22197.064
transcript.whisperx[176].text 算不算爆料?重振這麼久,對不對?對啊,資訊傳遞,資訊暴露就是爆料啊,不是嗎?他提供訊息,他當作爆料也是,但提供訊息正不正確與否,調查局是調查當中。你也可以稱為把爆料解除而揭露資訊,揭發新聞嘛。沒關係啦,有故事就好,我不跟你再深究中文,今天不上中國語文學系啦。
transcript.whisperx[177].start 22198.184
transcript.whisperx[177].end 22217.654
transcript.whisperx[177].text 我希望請教你,民進黨綽號早知道的那位大立委沈博洋,他說兩個月前就知道,說已經通報了,算不算爆料?請他繼續說明,很好,講幾乎這句話,可是我們梁文傑說沒有爆料人啊?
transcript.whisperx[178].start 22218.903
transcript.whisperx[178].end 22245.873
transcript.whisperx[178].text 他顯然自由時報不看啊他顯然我們早知道大立委沈博洋他是什麼他認為這不算爆料還是他認為沈博洋不是人所以不是爆料人報告委如果哪一個委員會哪一個人講的話就當事實的話那就不需要調查立案調查了沒有關係你要切割沈博洋要切割梁文傑我跟你講是你卓榮泰一貫的風格我懂啦對你不是沒有了解才站在這地方嗎
transcript.whisperx[179].start 22246.733
transcript.whisperx[179].end 22247.554
transcript.whisperx[179].text 這兩個月請問檢討團在幹嘛?掌握訊息了沒有?你掌握訊息了沒有這兩個月?
transcript.whisperx[180].start 22269.77
transcript.whisperx[180].end 22296.533
transcript.whisperx[180].text 沈博洋通報了耶!堂堂民進黨的不分區第二名男性第一名民進黨現在的早知道英雄沈博洋今天跟你講說已經跟國安團隊通報了請問你通報了沒有一個負責的委員接到任何訊息他或許自己會有查證的義務所以他是在進行這個查證的過程這個我當然不清楚但沈委員講出來之後現在調查局在立案調查三周
transcript.whisperx[181].start 22298.462
transcript.whisperx[181].end 22327.291
transcript.whisperx[181].text 我問是兩個月前,他說兩個月前通報所以他可能有一段自己查證,這個我不清楚,我真的不了解院長我怎麼會去了解一個委員不是,你他兩個月前也許你不了解但是兩個月後他說他通報了,都已經新聞出來快一個禮拜了你說一個禮拜可以調查出來,現在我講你不知道所以調查局在調查中,我可以去問嗎院長,我想請問你啊,我跟你問的是他有沒有爆料欸
transcript.whisperx[182].start 22328.885
transcript.whisperx[182].end 22340.131
transcript.whisperx[182].text 你這件事情你到現在搞了一個禮拜都不清楚,那我直接問啦,來NCC有沒有跟你爆料?總會員有沒有跟你爆料?非常好,有擔當嘛,一句話嘛對嘛,沒有跟NCC爆料嘛
transcript.whisperx[183].start 22346.044
transcript.whisperx[183].end 22361.561
transcript.whisperx[183].text 那我就問院長啊,沈博恩有沒有跟法務部有沒有跟調查局有沒有跟體檢署爆料?有沒有?他沒有跟我們報料,但是調查局在調查當中,這個是現在的事實。沒有,我要先跟你講清楚啦,講清楚啦,待會你就知道我要問什麼。
transcript.whisperx[184].start 22362.432
transcript.whisperx[184].end 22369.595
transcript.whisperx[184].text 接下來有沒有跟國安單位爆料?委員有沒有去跟哪個單位講我怎麼會知道?我到目前為止問你問題幾乎沒有一個知道我超級欣賞你你還跟我講一個月一個禮拜調查結果要出來來我想請教你
transcript.whisperx[185].start 22383.473
transcript.whisperx[185].end 22398.621
transcript.whisperx[185].text 今天沈博洋說已經通報了國安單位了兩個月了我請問國安單位是稅了廢了還是殘了兩個月有沒有進度有沒有報告連你都不知道所以調查局在調查當中啊噢好厲害啊趙博離開多久了新華社記者趙博離開多久了
transcript.whisperx[186].start 22406.249
transcript.whisperx[186].end 22411.172
transcript.whisperx[186].text 一個月了啦。你也不知道啦。我知道他5月底離開啊。他有沒有做什麼事情。結果他一個多月前離開。
transcript.whisperx[187].start 22418.354
transcript.whisperx[187].end 22444.126
transcript.whisperx[187].text 欸我覺得你們國安單位好厲害行政團隊超級棒欸委員你不能要求我在你當調查員一樣我沒有要你當調查員但是你自己拍胸脯保證一個禮拜調查報告都會出來啊你也說過他的背景如果不是很複雜結果你到現在是一問三不知啊他的背景如果不是很複雜一個禮拜就出來啊我直接跟你講啦我到現在為止我幫你做一個快結論啦剛剛委員所說的那麼多人的這個講法就是複雜啊你辛苦我做一個快結論啦我不能跟你裝作我什麼都知道啊因為
transcript.whisperx[188].start 22445.286
transcript.whisperx[188].end 22469.028
transcript.whisperx[188].text 那你要問省委員他根本沒有通報啦半天早通報大家講出來啊至少確定NCC沒有確定你偉大三不知行政院院長不知道他跟哪一個單位通報啦通報連個通報的窗口都不知道啦難怪管單位睡兩個月啦睡到今天自由時報報導之後你到現在還是三不知啦
transcript.whisperx[189].start 22469.926
transcript.whisperx[189].end 22486.545
transcript.whisperx[189].text 我最後跟院長說,你本來就不知嘛,你18不知我都不理,我都可以逼意外,從頭到尾審判就瞎編,就是王立強二號,今天你不敢背書他要切割梁文傑,我覺得都同意你,很簡單,因為你也扛不起。
transcript.whisperx[190].start 22488.936
transcript.whisperx[190].end 22513.624
transcript.whisperx[190].text 接下來我就要想要問一下我告訴各位行政團隊搞了半天東森新聞台人家是有品牌有聲譽報導真相報導事實非常努力的新聞台你認同吧我認同這個謝謝你啊但你認同結果現在我跟你講為什麼院長我給你一個期待啦新聞自由不是嘴巴喊喊的
transcript.whisperx[191].start 22514.605
transcript.whisperx[191].end 22531.796
transcript.whisperx[191].text 今天包括官員包括說立委包括綠媒在抹黑一個客觀公正然後兢兢業業在守護第四權的東森新聞台結果你到這邊你跟我一問事不知十八不知
transcript.whisperx[192].start 22532.935
transcript.whisperx[192].end 22534.996
transcript.whisperx[192].text 好,謝謝羅委員。謝謝卓院長。下一位我們請嚴寬衡委員之選。
transcript.whisperx[193].start 22570.937
transcript.whisperx[193].end 22575.863
transcript.whisperx[193].text 主席各位列席官員大家好主席我想請行政院卓院長請卓院長備詢
transcript.whisperx[194].start 22583.712
transcript.whisperx[194].end 22599.962
transcript.whisperx[194].text 院長好,今天是交通組的總質詢,但是我在開始之前先想要請院長針對大進滿88號漁船被大陸海警帶回泉州已經是第三天了,可不可以跟大家報告一下目前我方的進度如何?
transcript.whisperx[195].start 22601.049
transcript.whisperx[195].end 22626.503
transcript.whisperx[195].text 好,謝謝文關心的。我們一樣歡心這個人船的安全。那事發當時海巡的兄弟們很積極的去想著把他營救回來。但是因為進入到對方的海域比較深處,不敢再往前進,所以就在當時進行了這個決定。那現在為止我們正透過包括陸委會、海基會都在跟對方做積極的接洽當中。希望第一個人船能夠緊速的回來,也希望對方保護安全。
transcript.whisperx[196].start 22626.883
transcript.whisperx[196].end 22637.78
transcript.whisperx[196].text 您一定要平安的回來,國人的安全不要淪為一個政治的角力。好,院長那我來繼續請教。請問院長知不知道台鐵便當節目前第幾屆?對不起,台鐵便當節。
transcript.whisperx[197].start 22641.125
transcript.whisperx[197].end 22670.052
transcript.whisperx[197].text 臺鐵便當目前是第幾屆?臺鐵的便當節目前第幾屆?我告訴你第九屆也是民營化之後公司化之後的第一屆那四天從這個四天入場人數突破40萬營業額也衝高到1200萬那大幅的超越預期那臺鐵一向都是我們非常喜歡的也是便當界的首選像我們今天宴會也是吃臺鐵便當那我想
transcript.whisperx[198].start 22670.851
transcript.whisperx[198].end 22673.653
transcript.whisperx[198].text 海線的雙軌大概是有人關心是從談文到追分這一段
transcript.whisperx[199].start 22699.45
transcript.whisperx[199].end 22709.928
transcript.whisperx[199].text 另外高架山西縣的部分是大慶到烏日這一段目前包括山海縣跟捷運南線一起在做一個共購的一個
transcript.whisperx[200].start 22711.459
transcript.whisperx[200].end 22728.848
transcript.whisperx[200].text ﹚議員
transcript.whisperx[201].start 22729.088
transcript.whisperx[201].end 22748.824
transcript.whisperx[201].text 過去只有單軌的時代,海線只有單軌,所以不管是這個快慢車的調度還有實際運作上都有一定的難度。那班次少還有搭乘的人次比較少,所以這樣子惡性循環讓很多的旅客還有地方的居民都捨棄台鐵,尋求其他的交通運輸方式。
transcript.whisperx[202].start 22749.523
transcript.whisperx[202].end 22769.382
transcript.whisperx[202].text 我們都知道,像交通部長到台中去考察,我們也一直在討論這些問題,軌道經濟可以帶動地方一個長遠性的發展。所以台中鐵路海線雙軌高架的部分,在跟我們捷運南線會在沙路站做一個交錯。
transcript.whisperx[203].start 22770.043
transcript.whisperx[203].end 22787.671
transcript.whisperx[203].text ﹚議員
transcript.whisperx[204].start 22788.029
transcript.whisperx[204].end 22804.138
transcript.whisperx[204].text ﹚議員﹚
transcript.whisperx[205].start 22804.206
transcript.whisperx[205].end 22804.226
transcript.whisperx[205].text 拜訪議員
transcript.whisperx[206].start 22825.879
transcript.whisperx[206].end 22853.729
transcript.whisperx[206].text 議員﹚
transcript.whisperx[207].start 22853.949
transcript.whisperx[207].end 22854.531
transcript.whisperx[207].text 全線高架
transcript.whisperx[208].start 22864.36
transcript.whisperx[208].end 22884.08
transcript.whisperx[208].text 現階段我們目前的計畫是海線的部分是部分高架那另外就是包括大慶到烏日因為他延續台中市的這個高架的部分可以繼續從大慶延伸那這兩個會列為優先那後面如果要全線高架可能還要再進一步做可行性的這個評估
transcript.whisperx[209].start 22887.042
transcript.whisperx[209].end 22899.397
transcript.whisperx[209].text 鐵路是國有財產不管是營收營運都屬於中央所有所以過去我們看到從台中市火車站一直到豐原整個全線的高架都是由中央專案補助全額補助
transcript.whisperx[210].start 22900.885
transcript.whisperx[210].end 22912.957
transcript.whisperx[210].text 那這一次我們看到了大烏日大慶傳烏日到大慶這個鐵路高架部分臺中市政府要負擔56%要負擔56%負擔的比例相當的高總經費83.4億要負擔超過40幾億那我們來看下一張表格這個部分請看一下齁
transcript.whisperx[211].start 22927.486
transcript.whisperx[211].end 22950.561
transcript.whisperx[211].text 桃園地下化部分,地方只要負擔25%,嘉義的高架化負擔14%,嘉義的延長高架化延伸計畫負擔15%,台南市的地下化部分負擔12.5%,那高雄市的部分負擔29%,只有台中,台中負擔56%。
transcript.whisperx[212].start 22952.782
transcript.whisperx[212].end 22967.394
transcript.whisperx[212].text 為什麼要負擔這麼高?為什麼要負擔這麼高?而且台中我們現在提到的只提到烏日大慶高價化這個部分,這部分八十幾億,如果再加上海線雙軌平面跟雙軌高價的部分可能要上看七百多億。
transcript.whisperx[213].start 22968.291
transcript.whisperx[213].end 22987.299
transcript.whisperx[213].text 全部臺中市政府要負擔56%,那可不可以請院長跟部長告訴我們為什麼臺中市這個自主負擔要負擔這麼高?是,我簡單做一個說明,就是現在不管是鐵路高架或者是鐵路地下立體化的部分,
transcript.whisperx[214].start 22987.779
transcript.whisperx[214].end 23012.265
transcript.whisperx[214].text 其實除了讓台鐵在營運上面有比較安全之外那另外一個重點就是讓所在的城市他的彼此之間的這個貫穿這個鐵路的道路可以縫合可以沒有這個平交道那對交通對市容都有很大的幫助所以這個部分才會有這個地方政府要負擔的部分負擔的這個部分
transcript.whisperx[215].start 23013.385
transcript.whisperx[215].end 23041.884
transcript.whisperx[215].text 那現在是因為有一個通案性的計算原則就是有自償的部分優先由地方政府負擔那非自償的部分才由中央政府跟地方政府來照比例那這個部分我想是一個全國性貫通通用的一個原則那可能在自償率的這我們不能理解齁一樣是直轄市對不對你地下化的預算費用更高但是桃園市他負擔25%那為什麼台中市要負擔56%呢
transcript.whisperx[216].start 23043.565
transcript.whisperx[216].end 23043.705
transcript.whisperx[216].text 拜訪委員
transcript.whisperx[217].start 23064.099
transcript.whisperx[217].end 23090.945
transcript.whisperx[217].text 是不是鼓勵說地方政府不應該把自己的財政這個管理的那麼好?他主要還是優先有一個自償有具自償性的部分會由地方這邊負擔那另外非自償的部分才由中央地方照一定財政的分級的比例來處理那這個部分因為有牽涉到比較詳細的計算委員我是不是另外再安排時間來跟您做一個說明
transcript.whisperx[218].start 23091.912
transcript.whisperx[218].end 23092.233
transcript.whisperx[218].text 海線鐵路雙軌部分
transcript.whisperx[219].start 23100.472
transcript.whisperx[219].end 23125.873
transcript.whisperx[219].text 我們真的是要靠中央來支持因為地方沒有辦法負擔那麼大的預算尤其是之前前瞻計畫的分配不均對台中人已經很大的傷害但是台中市還是依舊努力的為全國創稅台中市是全國第二大城市112年上繳中央的稅款將近2200億回配率是接近10年來最低只有40%拿回869億
transcript.whisperx[220].start 23130.046
transcript.whisperx[220].end 23153.627
transcript.whisperx[220].text 這個迴避比例不成正比,我們認為說不應該讓好學生受到更多的懲罰。台鐵、大慶烏日還有烏日到沙鹿,這個高價化屬於台中的一個重大建設,包括捷運南線的部分。那最近局縣也通過了我們的一個審查會。
transcript.whisperx[221].start 23155.102
transcript.whisperx[221].end 23176.316
transcript.whisperx[221].text 那所以我們還有交通委員會下個禮拜還要到臺中去考察局限跟止限的部分所以這麼多的重大建設都在臺中但是臺中必須要負擔那麼高的比例這對臺中市政府來講是極為不公平那所以我想這部分要請院長跟部長大力的來幫助臺中市可不可以
transcript.whisperx[222].start 23178.576
transcript.whisperx[222].end 23204.97
transcript.whisperx[222].text 這個7月1號局限的一個部長也到了現場去有進行這個局限後續的那個審查的程序那原則上應該是朝正面通過的方向來走那未來關於他的這個經濟效益跟財務的評估希望市政府還要提出更詳細的計畫那這個部分我想如果是針對地方所需要的那中央來依照所有的這個財務狀況來合作這應該就是我們未來在走的路
transcript.whisperx[223].start 23207.556
transcript.whisperx[223].end 23223.657
transcript.whisperx[223].text 我在提供給你一些數據參考,臺中烏日就是我們高鐵特區,那最近高鐵娛樂城也正式的動工。那高鐵站,臺中高鐵站現在是全國第二大站點,出入的人次每月平均量是220萬人次。
transcript.whisperx[224].start 23226.141
transcript.whisperx[224].end 23253.443
transcript.whisperx[224].text 那從這個觀光局提供的資料110年整年度到臺中主要各個觀光油漆的據點的統計是3900萬人112年度已經突破了5000萬人次所以臺中市目前的發展正在快速的成長所以需要各項交通的升級跟建設所以我想請教院長你同不同意本席的說法
transcript.whisperx[225].start 23254.189
transcript.whisperx[225].end 23277.988
transcript.whisperx[225].text 我們在均衡臺灣的理念之下各地都應該有他地方所需要的事實的建設那臺中是在臺灣的正中心的一個地理位置而且他又有相當多比方觀光啦科技等等的發展我覺得健全臺中大臺中地區的交通建設是中央地方合作的方向我們跟立法院副院長還有市長以及各位委員很多
transcript.whisperx[226].start 23278.882
transcript.whisperx[226].end 23305.213
transcript.whisperx[226].text ﹚國會議員
transcript.whisperx[227].start 23305.776
transcript.whisperx[227].end 23305.796
transcript.whisperx[227].text 拜訪議員
transcript.whisperx[228].start 23322.635
transcript.whisperx[228].end 23350.256
transcript.whisperx[228].text 高鐵營業省在115年陸續完工那高鐵每天平日將增加3.1萬人次假日的時候會增加4.8萬人次會讓現在高鐵已經飽和的一個交通的服務水準會下降所以我們現在就強烈的建議說希望在請交通部還有這個部長行政院院長
transcript.whisperx[229].start 23351.451
transcript.whisperx[229].end 23380.411
transcript.whisperx[229].text 在我們國道一號這個偵測烏日交流道也就在我們高鐵高鐵站周遭因為他北側是這個臺中的五泉西路交流道南側是這個王田交流道所以這周邊的交流道要優化還有台74線的閘道優化之外希望能夠偵測烏日交流道國道一號這樣子才能有效的紓解整個高鐵特區以及周遭所有的車流可不可以
transcript.whisperx[230].start 23382.583
transcript.whisperx[230].end 23405.291
transcript.whisperx[230].text 委員我跟您報告一下就是上個禮拜剛動工的這個最大的商場這個部分應該是全國目前最大的一個商業設施那它的樓地板面積大概有101的4倍這麼大所以未來一定會為高鐵特定區帶來非常大的人潮因為我看它佔地面積就有將近15公頃
transcript.whisperx[231].start 23406.391
transcript.whisperx[231].end 23406.831
transcript.whisperx[231].text 因為剛好,如果看剛剛那張圖
transcript.whisperx[232].start 23435.872
transcript.whisperx[232].end 23461.281
transcript.whisperx[232].text 國道一剛好在這個地方有一個大轉彎那這個大轉彎的趨利半徑目前評估起來如果要增加紮道跟他的規範技術規範會有一些難度所以我想讓整個規劃一個出來比較可行的方案看是由74來接還是由原來王田交流到這邊來做一個分叉來接技術上可行的方案我覺得來做會比較有一個整體性
transcript.whisperx[233].start 23463.762
transcript.whisperx[233].end 23489.936
transcript.whisperx[233].text 這個74號是屬於我們公路總局的那國道是高速公路局都是中央那尤其高鐵娛樂城他也是我們鐵道局的出差案這個東西在這個地方國道要偵測烏日交流道我相信交通部行政院責務旁帶能夠讓為這個地方的一個交通建設能夠提升服務品質然後呢也為了防止未來整個高鐵客區他的交通
transcript.whisperx[234].start 23501.92
transcript.whisperx[234].end 23517.523
transcript.whisperx[234].text 好謝謝謝謝嚴委員謝謝院長還有部長部長那個要超前部署不然你以後回台中也會塞到我們下一位請這個呂毓林委員質詢
transcript.whisperx[235].start 23524.647
transcript.whisperx[235].end 23525.548
transcript.whisperx[235].text 謝謝主席,請卓院長。
transcript.whisperx[236].start 23538.51
transcript.whisperx[236].end 23561.952
transcript.whisperx[236].text 委員長,許多國人他們都認為我們現在國旅的費用非常的昂貴,尤其是CP值比不上韓國跟日本這些鄰近的國家。所以他們寧可出國去玩,也不願意留在我們國內來觀光這個現象。所以本席也特地的再跟觀光署來調一些資料。
transcript.whisperx[237].start 23562.592
transcript.whisperx[237].end 23587.724
transcript.whisperx[237].text 在108年的疫情之前到112年的疫情之後我們的房價真的是調幅了很高調高將近有20%以上那這些情形觀光署的解釋說明是說因為基本工資還有電價跟原物料的關係才讓我們住宿的旅館這房價越來越高那可是在一般民眾是認為是說因為這個
transcript.whisperx[238].start 23590.405
transcript.whisperx[238].end 23613.612
transcript.whisperx[238].text 是我們旅遊的淡旺季的關係但是淡旺季禮拜一到禮拜五幾乎都是沒有人去六日的時候要一房給難求在這種情況所以他為了擬貧他們的營運成本的關係所以他把這個假日的房價來提高這樣子的話他成本才能夠平衡所以在這種情形之下
transcript.whisperx[239].start 23614.952
transcript.whisperx[239].end 23634.671
transcript.whisperx[239].text 我們看到的是平日跟這個我們價值的關係那請問院長跟部長那有沒有可能說我們對這個住房這個房價用有沒有特別的規範讓我們這個價值的價錢跟平日的價錢不能超過多少幾%的情形來受限制呢?
transcript.whisperx[240].start 23635.646
transcript.whisperx[240].end 23664.5
transcript.whisperx[240].text 報告委員這個發展觀光是國家重大的政策我們在前陣子的這個報告當中我們還特別提出希望季季都是觀光季我們希望天天都是了路線能夠把它拉長那現在就有這種情形嘛淡忘記的情形那因為在疫情之後見到很多人力的缺口啦很多人力無法的補充回來等等會觀光的品質會有所影響但是說真的也真的是成為委員所說在國內觀光包括交通費住宿費
transcript.whisperx[241].start 23665.28
transcript.whisperx[241].end 23668.763
transcript.whisperx[241].text 議長,最重要的是要有人進來觀光,不是我們的國旅。我們的國旅的話,大家說台灣的
transcript.whisperx[242].start 23688.157
transcript.whisperx[242].end 23688.297
transcript.whisperx[242].text 關關數多少?
transcript.whisperx[243].start 23711.517
transcript.whisperx[243].end 23737.886
transcript.whisperx[243].text 三百五十三萬人次,三百五十三萬人次的話,如果你照這個數字算到年底的話,也不會超過七百萬人次。那這種情形之下,要怎麼救觀光呢?那尤其現在啊,這兩岸互不來觀光的話,入客又不進來的情形之下,那你們現在又港澳臺的話,這個又身為這個成燈這個情形之下,我們要如何來做到這觀光人次呢?
transcript.whisperx[244].start 23739.673
transcript.whisperx[244].end 23766.045
transcript.whisperx[244].text 跟委員報告目前統計到6月底大概是將近有380幾萬到390這樣也達不到1千萬那如果因為我們通常在臺灣國際旅客來的旺季比較偏重在下半年所以我們認為大家再努力一點還是有機會那當然因為上半年因為受到零四連戰部長你太過於樂觀了這我感覺太過良好
transcript.whisperx[245].start 23768.126
transcript.whisperx[245].end 23784.686
transcript.whisperx[245].text 其實有很多的方法啦本期就是建議像國際觀光客我們就可以招攬更多的國際觀光客引進來台灣觀光這個就會平衡一下我們平日的住房率很差的情形這也是一個重點啦可不可以朝這方面努力來做了
transcript.whisperx[246].start 23784.986
transcript.whisperx[246].end 23785.246
transcript.whisperx[246].text 另外也有推出
transcript.whisperx[247].start 23814.397
transcript.whisperx[247].end 23815.658
transcript.whisperx[247].text 關關署網頁推出優質的比較平價的旅宿給國人參考來訂房。
transcript.whisperx[248].start 23832.386
transcript.whisperx[248].end 23847.978
transcript.whisperx[248].text 接下來本席想請教的就是院長、部長。十一住行是我們生活的主要,其中行的交通是我們每天生活上都會遇到的,尤其是在馬路上都充滿了汽機車跟行人。
transcript.whisperx[249].start 23849.759
transcript.whisperx[249].end 23878.965
transcript.whisperx[249].text 一遇到交通事故的時候就有關著我們的生命財產都受到損傷所以在這邊我們特別要提到的就是交通安全是我們最重要關注的但是在交通安全上交通事故這個發生尤其是兒童的事故的傷害就是頭號殺手了那所以本期要聚焦在這個我們兒童的交通事故那要關心的就是我們就學我們的通學的這整個環境的這個步道上面
transcript.whisperx[250].start 23879.525
transcript.whisperx[250].end 23881.047
transcript.whisperx[250].text 那最重要的就是去年的時候高達3萬人
transcript.whisperx[251].start 23899.753
transcript.whisperx[251].end 23917.22
transcript.whisperx[251].text 您表示我們政府在這方面行的安全是做得非常不夠了院長你同意嗎?是所以才會用2萬提升到3萬嘛那現在最重要的是要跟你討論就是行的安全尤其是通血的這些步道這些人行道上面針對這個進捐基金會的調查報告裡面
transcript.whisperx[252].start 23919.301
transcript.whisperx[252].end 23940.363
transcript.whisperx[252].text 有75%的家長是自己接受。25%的學生自行上下課。但是將近有51%的學生是不想自己去上學。這原因當然是很多啦。那包括是道路被停車所佔走了。還有新人走一走會走到這個汽機車的道路上是非常危險。還有
transcript.whisperx[253].start 23942.704
transcript.whisperx[253].end 23943.224
transcript.whisperx[253].text ﹚三、7月5日下午1時50分為處理臨時提案時間
transcript.whisperx[254].start 23961.317
transcript.whisperx[254].end 23963.279
transcript.whisperx[254].text 所以本席要給院長和市長看一下準備的影片。
transcript.whisperx[255].start 23985.216
transcript.whisperx[255].end 24012.149
transcript.whisperx[255].text 就是本席在我們桃園平鎮地區的幾個國小、國中、高中的學校裡面,他的同學的,您看到,有很多,尤其是學校周邊,都是斑馬線,斑馬線還交叉複雜的那個圖形,那他們也無所適從。那而且,出了學校門口之後,沒有人行道。而有些有人行道的部分,它又有很多的障礙物,有路燈、有變電箱。
transcript.whisperx[256].start 24013.71
transcript.whisperx[256].end 24039.503
transcript.whisperx[256].text 還有談判這些等等所以必須要趕快積極來做那交通部在這邊的時候你們特別也有講到說在113年到116年啊你們編列了預算要來讓我們所有的通學步道來做以改善在我們全台灣有4165間學校但是你這4年的時間你只要做715家學校不到20%
transcript.whisperx[257].start 24041.044
transcript.whisperx[257].end 24044.071
transcript.whisperx[257].text 那其他的呢?其他學校他們會各自提案嗎?這個委員報告
transcript.whisperx[258].start 24047.028
transcript.whisperx[258].end 24075.609
transcript.whisperx[258].text 路口的改善,現在交通部正提出一個大案的計畫,我們在年底之前會把799處依照式的危險路口做標示、標線以及中央庇護島的一個改善。同時在200個學校的周遭的道路會加設標線標誌,讓行政經過更清楚。院長反其跟你提的是4165個學校,你的目標是700個學校,你為什麼危險的時候不能等待,很多路口停
transcript.whisperx[259].start 24076.349
transcript.whisperx[259].end 24079.771
transcript.whisperx[259].text 您的聯海處是什麼調查出來的200處?你是讓各校提供的嗎?
transcript.whisperx[260].start 24105.667
transcript.whisperx[260].end 24129.509
transcript.whisperx[260].text 這個是由內政部國土署跟各縣市政府包括教育局、公務局大家去會刊那選定那不過之前也有已經有些4000所學校裡面有之前有部分已經完成那未來我們是把最迫切的這700多所列為優先的目標那當然如果各縣市的量能他可以提早提早在這4年內來完成的我們也歡迎他提出來
transcript.whisperx[261].start 24130.009
transcript.whisperx[261].end 24131.11
transcript.whisperx[261].text 因為本席擔心你這個計畫是4年的時間,4年才去檢討的話,太慢了。
transcript.whisperx[262].start 24149.229
transcript.whisperx[262].end 24149.389
transcript.whisperx[262].text 好的委員
transcript.whisperx[263].start 24176.665
transcript.whisperx[263].end 24203.223
transcript.whisperx[263].text 這一定要去做的交通部盡量在今年完成這個200處之外盡量跟地方來了解哪些路段更需要加進來往後加去來進行從2萬人增加到去年的3萬人是增加不是減少的所以我們怎麼可以慢慢來呢一定要同步全台灣一起的來檢討改善我們整個交通學的這個環境尤其是通學的環境這部分好不好
transcript.whisperx[264].start 24205.205
transcript.whisperx[264].end 24217.572
transcript.whisperx[264].text 接下來本席要討論的就是我們地方的我們的建設在本席的選區裡面目前我們桃園鐵路地下化平正車站的進度在哪裡
transcript.whisperx[265].start 24221.607
transcript.whisperx[265].end 24239.586
transcript.whisperx[265].text 跟委員報告現有的憑證車站目前正在施工現在正在做連續幣的工程那我想市府有提出希望能夠南以南以那靠近這個未來的一個重劃區那目前的評估起來就是說如果現在南以有三個問題一個是他會在這個
transcript.whisperx[266].start 24242.97
transcript.whisperx[266].end 24250.053
transcript.whisperx[266].text 對於旅客的動線還有逃生的動線、疏散動線會有一個問題。第二個整個桃園鐵路地下化的期程會增加三年。第三個就是現有站已經在施工,移過來會增加的經費這個部分還要再估算。
transcript.whisperx[267].start 24272.003
transcript.whisperx[267].end 24281.677
transcript.whisperx[267].text 謝謝你了解所有的狀況很感謝你那本席在上任立法委員一直到現在非常關注的就是這個建設因為在桃園鐵路有
transcript.whisperx[268].start 24284.178
transcript.whisperx[268].end 24284.338
transcript.whisperx[268].text ﹚發言委員
transcript.whisperx[269].start 24304.997
transcript.whisperx[269].end 24329.82
transcript.whisperx[269].text 本來中壢車站是最醜的車站,現在也已經移到旁邊去做臨時站,要趕快做改善的整個工程。所以你看到,憑證車站,交通堵塞,道路狹窄,腹地不夠的清新,我們擔心憑證也會發生一樣的問題。所以我們要遠見,要讓地方進步發展,就必須要有未來看得到的問題都要一一的來解決。
transcript.whisperx[270].start 24330.681
transcript.whisperx[270].end 24352.715
transcript.whisperx[270].text 當下的時候我們在106年的時候我們就經過了可信心的評估把我們的憑證車站用增設計劃裡面在我們高架已經設進去了後來改成鐵路地下化我們也經過溝通協調也納入鐵路地下化的這個工程那但是因為一些坡度的問題說要改變我們的
transcript.whisperx[271].start 24354.456
transcript.whisperx[271].end 24378.443
transcript.whisperx[271].text 車站要北移665公尺那本是那時候的話一直講說那你車站設置一個有腹地夠寬廣有停車空間有公車轉運不造成交通堵塞的地方但是前朝市政府一直沒有聽到民意所以沒有在找到更好的地點所以北移了665公尺就是現在的這平鎮車站的地方
transcript.whisperx[272].start 24378.823
transcript.whisperx[272].end 24396.966
transcript.whisperx[272].text 後來張燦正市長上任之後馬上反映這問題必須要獲得解決所以我們先解決了就坡度的問題行政院也已經通過同意我們我們鐵路平正車站這個陶鐵地下化出土位置難以1.2公里既然難以1.2公里坡度也解決了
transcript.whisperx[273].start 24397.346
transcript.whisperx[273].end 24427.346
transcript.whisperx[273].text ⋯⋯⋯
transcript.whisperx[274].start 24427.688
transcript.whisperx[274].end 24449.808
transcript.whisperx[274].text 如果市政府儘速把這個暫止的地點能夠確定下來,那地方也能夠接受,或是交通部。這是我們民意大家所要求的。對,儘速跟這個市政府來做協商,我們進行以後必要的程序。那拜託,拜託院長跟市長。好,謝謝李委員。下一位我們請游哈委員質詢。
transcript.whisperx[275].start 24471.943
transcript.whisperx[275].end 24498.709
transcript.whisperx[275].text 謝謝各位主席、副院長。那有請院長,還有NCC的主委,還有速發部的部長。請卓院長備詢NCC主委、速發部部長。委員好。院長好。那我想在這裡先請教我們就是NCC的主委。
transcript.whisperx[276].start 24500.768
transcript.whisperx[276].end 24518.84
transcript.whisperx[276].text 主委,這個未來NCC的主委卸任之後,你會去台哥大當他的獨立董事嗎?台哥大?我們有那個旋轉門條款,不可能。對啊,所以你不會嘛。那NCC會有任何的委員卸任之後,去台哥大當獨立董事嗎?
transcript.whisperx[277].start 24519.993
transcript.whisperx[277].end 24548.036
transcript.whisperx[277].text 這還是要說公園服務法的規定那所以這很明顯的那也知道像目前來講在台客大在這個6月30之後那在7月1號它的評普的部分因為會提這個的話我們都知道NCC它主要它不僅是要防止媒體壟斷那它也需要去防止電信壟斷各式各樣的壟斷在一個市場的一個公平競爭之下那所以說在目前我們看到
transcript.whisperx[278].start 24548.897
transcript.whisperx[278].end 24572.418
transcript.whisperx[278].text 台客到他藉由他的訴訟,他要來跟NCC來進行一個訴訟,他要來把這個評普,價值7億的評普來站著,沒有去做一個規劃,那嚴重的衝擊到這個市場的機制,那主要在一個公平是非跟公道的一個過程,那我想就教一下院長,那像這樣子的一個事件,行政院以及相關所屬機關會持什麼樣的態度來進行處理?
transcript.whisperx[279].start 24575.547
transcript.whisperx[279].end 24596.681
transcript.whisperx[279].text 蘋果是國家的公共財產絕對要在一個公平的分配底下有利於人民在使用這個設施能夠得到最佳的便利所以任何的廠商都應該在這個規範底下去做一些蘋果的分配絕對不能有任何隱私或私心的作為沒有錯那院長你說的沒錯那現在NCC要如何來做這個作為
transcript.whisperx[280].start 24600.411
transcript.whisperx[280].end 24623.74
transcript.whisperx[280].text 回答一下委員的問題平普基本上來講現在主管機關是數位部當然平普來講的話他的規劃使用以後那監理是由NCC來負責那現在來講的話像台科大因為這是個案我們現在已經找這個台科大這個部分來講下禮拜會到本會來陳述意見因為這會涉及到一方面來講第一個就是說那個平普如果超標的話超評的話要怎麼處理的問題第二
transcript.whisperx[281].start 24627.182
transcript.whisperx[281].end 24636.12
transcript.whisperx[281].text 就是這個部分可能是數位部的權限但是如果是跟NCC有關的是那個營運計畫的問題也就是當時我們在做合併的處分的時候
transcript.whisperx[282].start 24636.636
transcript.whisperx[282].end 24656.884
transcript.whisperx[282].text 有提到這個依法他有抄品的部分要繳回來不繳回來講的話那有可能營運相關營運計畫可能會涉及到財儲的問題對那因為NCG涉及到財儲包括罰款最低從50甚至到500萬可是這個價值期就算他不斷的裁罰NCG不斷的裁罰但是他佔著這個評估是國家財產一樣價值期他一樣持續在營運那當然
transcript.whisperx[283].start 24662.626
transcript.whisperx[283].end 24683.133
transcript.whisperx[283].text 數位發展部的部長我也不會問他會不會去NCC當獨棟,因為他剛上任也很積極啊,要積極發揮。那只是說在目前NCC,我坦白講,我們社會各界看到的對於中天啊,可以馬上立即的揮起大刀,但是在台哥大他目前來講的財閥,因為這個部分大家都在看報導,
transcript.whisperx[284].start 24684.053
transcript.whisperx[284].end 24703.35
transcript.whisperx[284].text 一路都知道在當初他在整併這臺灣之心的時候他就已經讓臺灣之心他吸收了這85億85億的這個金額的部分來做這個評估的虧損而現在他又直接再告這個NCC再走這行政訴訟來進行這個拖延那本席直接就叫我們的院長
transcript.whisperx[285].start 24704.111
transcript.whisperx[285].end 24704.611
transcript.whisperx[285].text 我回答一下
transcript.whisperx[286].start 24719.454
transcript.whisperx[286].end 24739.403
transcript.whisperx[286].text 基本上來講像這個案子來講的話他有沒有違反那我們會本會是獨立機關是合一制會經過委員會討論以後來是不是有違反要不要採取那採取如果說違反狀態還沒有辦法解決我們會要求改正那如果改正他不改正我們會去連續採取的問題那這個不就是陷入這個困境嗎
transcript.whisperx[287].start 24739.983
transcript.whisperx[287].end 24744.986
transcript.whisperx[287].text 那本席還是在這裡希望院長也可以針對這事情表個態啦因為我們看到如果說不斷的這樣子的裁罰那裁罰到時候不斷的拖延那一方面
transcript.whisperx[288].start 24767.797
transcript.whisperx[288].end 24786.703
transcript.whisperx[288].text 這個當初在這整個合併的過程中那臺哥大就已經也都把這個包括遊戲規則三分之一就要繳回超過就要繳回都直接讓NCC主委都清楚知道但是現在來講讓臺灣資金他吸收了這個85億那再跟NCC再進行這個訴訟來去拖延
transcript.whisperx[289].start 24787.216
transcript.whisperx[289].end 24790.157
transcript.whisperx[289].text 政府對於這個市場的保護來講,我覺得是不夠達到積極的態度跟手段。相信院長應該也同意我的看法。
transcript.whisperx[290].start 24804.782
transcript.whisperx[290].end 24829.516
transcript.whisperx[290].text 任何的合併都應該以保障消費者的權益當為優先的考量。這個過程當中如果有不當的利益使用或是在使用上有違規違法的情形,那NCC剛剛是有罰則的。那這罰則縱使有上限,那如果能夠我們有持續不斷的要求業者來改善這個作為,我認為這樣的強度是必須拿出來的。表示公權力跟這個消費者的權益是站在一起的。
transcript.whisperx[291].start 24830.458
transcript.whisperx[291].end 24857.984
transcript.whisperx[291].text 好,那因為這個部分涉及到廢紙嘛,中天的等於是換照的時候就被大刀一揮嘛,那本席我跟台灣大革大其實也不認識,那只是針對這個議題來講,我相信大家都在關注,那我希望行政院這邊報告ICC能夠技術積極作為,好謝謝。那我接著要請教交通的議題,那就謝謝主委跟部長,謝謝。那請交通部長。
transcript.whisperx[292].start 24868.2
transcript.whisperx[292].end 24886.019
transcript.whisperx[292].text 本席還是如以往的在上次的總執行也有針對這個終結還局限能夠進南投那這一件議題這個有關於南投非常重大的一個交通建設因為中張投尤其是台中南投本就是一個生活圈那這個終結進南投的這個議題
transcript.whisperx[293].start 24888.562
transcript.whisperx[293].end 24907.482
transcript.whisperx[293].text 更是許淑華許縣長在過去8年立委期間以及現在當縣長期間非常重視的議題那本席只想在這邊針對終結局限金南投希望行政院長能夠表個態南投縣政府的計畫送進來的時候是不是行政院這邊也能夠全力來支持
transcript.whisperx[294].start 24908.325
transcript.whisperx[294].end 24928.523
transcript.whisperx[294].text 交通部應該是要跟台中市政府南投縣政府在進行這個可行性的評估那現在交通部的進度是不是跟委員報告是跟委員報告在去年去年的2月已經有合訂補助南投縣政府針對這個延伸的部分來做可行性的規劃
transcript.whisperx[295].start 24929.584
transcript.whisperx[295].end 24948.114
transcript.whisperx[295].text 現在正在做規劃之中我想他只要規劃報告完成那我們會送到交通部來協助當然在規劃的過程必須也要跟台中市做相關的協商包括工程的辦理還有未來怎麼樣的經營誰來當經營的主體相關的財務怎麼樣的一個分擔我想這個部分也要先協商之後我們就會來協助審議
transcript.whisperx[296].start 24956.297
transcript.whisperx[296].end 24984.471
transcript.whisperx[296].text OK那本席還是這邊再強調一下交通部協助南投縣政府的這個報告評估計畫在7月就會完成南投縣軌道系統整體網路評估計畫那到時候包括南投縣政府跟台中市政府本就有共識了那也希望交通部到時候能夠全力支持那也希望說因為這是包括賴清德總統的一個政見那所以本席在這也希望院長您能夠表個態
transcript.whisperx[297].start 24985.431
transcript.whisperx[297].end 24986.332
transcript.whisperx[297].text 總結舉憲進南投您是支持?
transcript.whisperx[298].start 25000.976
transcript.whisperx[298].end 25015.998
transcript.whisperx[298].text 只要評估有效益那相關的這個規定符合我想我們就來協助處處理這個中張頭生活圈這一定有效益但是院長你是可以表達一個支持的態度那我相信南投縣民也比較放心
transcript.whisperx[299].start 25017.52
transcript.whisperx[299].end 25018.601
transcript.whisperx[299].text 我接著問一個重大的建設
transcript.whisperx[300].start 25036.883
transcript.whisperx[300].end 25064.204
transcript.whisperx[300].text 那這個之前的話本席在上次總之選還沒有提過但是這一次要特別的來為我們的南投跟彰化的鄉親尤其是南投的鄉親來跟院長這邊來爭取就是我們國道3號南雲交流道它通車完工之後其實是讓這個我們整體的南邊的南投鄉親啊在交通上是確實是有比較便利的一個出口那這問題是
transcript.whisperx[301].start 25066.892
transcript.whisperx[301].end 25094.714
transcript.whisperx[301].text 院長其實大家在看待我們有時候在去中部的時候去這個快關交友道下還直接到台中搭高鐵這是非常便利但是南投的鄉親其實卻沒有辦法輕易的來去田中高鐵站來搭這個高鐵大家必須還是要繞到雲林還再到這個田中高鐵站才去搭所以這個一下一上的這個路徑是非常的遙遠
transcript.whisperx[302].start 25095.695
transcript.whisperx[302].end 25123.246
transcript.whisperx[302].text 那現在其實當初在這個交流道他有預留一個缺口他就是要做這個張覽大橋只要竹山一過去這個二水他就直接到田中可以直接到高鐵站那過去來講縣府曾經有提出希望能夠讓交通部來協助那中央的經費出的比例包括南投縣政府跟昭和縣政府能夠出的比例那現在南投縣政府跟昭和縣政府也有共識那是不是可以來請
transcript.whisperx[303].start 25124.286
transcript.whisperx[303].end 25150.971
transcript.whisperx[303].text 院長以及部長來思考這個南雲交流道搭這個張南大橋過去的這一個建設後續他可以持續做到的就是一路到田中高鐵再到二嶺的工業區那就是等於就是一個東西向的快速道路那相信這個對整體南投去彰化也好去搭高鐵也好都是非常的便利那相關的資料其實交通部過去都有
transcript.whisperx[304].start 25151.511
transcript.whisperx[304].end 25175.388
transcript.whisperx[304].text 那我想說就交一下院長還是這一案能夠正向來支持也能夠積極協助。交通的規劃交通部先說明一下。委員您所提的應該就是竹山到二水的這個快速東西向的這個快速道路。那這個我的了解如果要跨越要穿越八卦山脈是比較一個大的工程所以必須要
transcript.whisperx[305].start 25176.048
transcript.whisperx[305].end 25197.581
transcript.whisperx[305].text 我修正一下部長的說法,這個不用跨越八卦山脈,它直接就是跨左水溪就可以了。所以當初在評估計畫到時候留了一個缺口,就是讓這個交流道,南營交流道可以直接過去跨越左水溪。那旁邊的話其實是有雲林到彰化的大橋,所以它的那個難度在以前早就已經突破了。
transcript.whisperx[306].start 25198.981
transcript.whisperx[306].end 25213.608
transcript.whisperx[306].text 這個是我們做一個了解我們也會跟南投縣府跟彰化縣府大家一起來坐下來協商如果在交通上有他的需求看怎麼樣來啟動這個部分的可行性
transcript.whisperx[307].start 25214.048
transcript.whisperx[307].end 25241.655
transcript.whisperx[307].text 好那因為這個部分預計交通委員會我們也會排7月15號的會刊到時候我們來考察那也希望院長能夠對於這項重大建設能夠正面支持好報告每每到南投去都知道台中在經過道路系統雖然建設比過去是進步許多了但也一直在思考如果能夠有一個更便捷的方式我想對南投的鄉民居民來看絕對是一個好的結果所以交通部在
transcript.whisperx[308].start 25242.535
transcript.whisperx[308].end 25258.428
transcript.whisperx[308].text 接下來的會館當中我們全力的來看看如何協助。好那因為本席坦白講在過去8年其實我就不考院長就是8年在南投彰化可以提出的重大的一個交通建設其實是不好列舉
transcript.whisperx[309].start 25259.269
transcript.whisperx[309].end 25279.114
transcript.whisperx[309].text 但是我相信在這一年就是在院長您擔任院長的任上包括部長積極協助推動讓這個快速道路能夠看見曙光我相信這個對於南投跟彰化我相信會是以大福音因為建設也不分藍綠我們中央地方齊心好不好謝謝
transcript.whisperx[310].start 25280.454
transcript.whisperx[310].end 25307.487
transcript.whisperx[310].text 再來一個議題就是這個臺灣好行我們看到這個觀光暑期做的推動的部分都非常好包括中東部的推動那目前來講我們看到許多的成績也帶動地方觀光發展那但是南投市目前南投市南投的最大的鄉鎮市還沒有相關的路線那是想請這個到時候院長跟部長來積極的支持南投市也能夠有後續的路線來開出
transcript.whisperx[311].start 25309.093
transcript.whisperx[311].end 25331.334
transcript.whisperx[311].text 那接著就是我們看到博愛座那博愛座現在被稱博豆座那現在來講做一個修正來講他叫做有必須要使用者那來去做這個座位去做一個更名實際需要者那本席在這裡還是要提出希望交通部還在這個部分能夠跟衛福部再去做一個溝通
transcript.whisperx[312].start 25331.934
transcript.whisperx[312].end 25356.83
transcript.whisperx[312].text 因為老弱婦孺改為實際需要者我個人是認為不應該是受到許多這些事件反而大家應該是回頭來講是在宣導跟教育上還重新讓大家來去做一個認知而不是頭痛一頭腳痛一腳那我相信不能本末倒置因為本來來講大家實際需要這樣子的字眼還需要去做一個定義我覺得其實是大可不必
transcript.whisperx[313].start 25357.35
transcript.whisperx[313].end 25363.821
transcript.whisperx[313].text 反而是應該實際需要是哪些以前的類別都可以反而是應該是加強宣導那最後
transcript.whisperx[314].start 25364.977
transcript.whisperx[314].end 25393.053
transcript.whisperx[314].text 那這個謝謝院長那時候在馬文君委員提出查柏的時候你有表達說您到時候也會來參加這南投的查柏對那謝謝您的參與那相信到時候大家非常期待那本席也在這裡也特別拜託延續馬文君委員跟許淑華縣長的一個需求過去兩年的話查柏中央的補助是800萬那是不是在今年的部分可以持續往800萬以上的水平來支持好不好
transcript.whisperx[315].start 25393.695
transcript.whisperx[315].end 25395.156
transcript.whisperx[315].text 好 謝謝有委員謝謝院長下一位請林俊憲委員質詢好謝謝主席
transcript.whisperx[316].start 25424.246
transcript.whisperx[316].end 25430.891
transcript.whisperx[316].text 本席邀請我們行政院卓院長。卓院長請備選。我們交通部李部長。部長請備選。立委好。院長好。部長好。自從賴清德總統當選到上任以來,
transcript.whisperx[317].start 25449.532
transcript.whisperx[317].end 25477.286
transcript.whisperx[317].text 曾多次在公開場合說過,未來臺灣的經濟和政策的發展重心將會逐步難移。例如今年初賴總統曾經對高科技產業發言的時候說,未來50年,由南部來發揮力量。上個禮拜六,賴總統來到高雄捷運的岡山車站通車典禮。
transcript.whisperx[318].start 25478.251
transcript.whisperx[318].end 25505.037
transcript.whisperx[318].text 他說,現在他來做總統,要讓臺灣的發展平均,要支持南部發展,最先進的產業會往中南部來移動。我記得6月15日,卓院長你很辛苦地到臺南沙崙的科學園區,來正式宣布國家的AI園區會設在臺南的沙崙,是這樣齁?
transcript.whisperx[319].start 25508.988
transcript.whisperx[319].end 25525.866
transcript.whisperx[319].text 所以我認為賴總統的想法和做法我把它稱呼為建設大南方就是說未來我們政府的施政重心會更加重視的南北的均衡
transcript.whisperx[320].start 25526.772
transcript.whisperx[320].end 25554.63
transcript.whisperx[320].text 更加的投資南部,來扭轉多年以來的南北部平衡。不知道院長,總院長您的看法是如何?謝謝委員。總統的講法也一定是在均衡台灣的理念之下,建設大南方,但是也不會忽略或是放掉北部跟中部。因為過去北部中部的發展已經有相當長的一段的時間,所以各方的健全的發展也比較多。那南方過去承受的比較多的
transcript.whisperx[321].start 25555.23
transcript.whisperx[321].end 25558.692
transcript.whisperx[321].text 但是我們提到了高科技產業的往南邊移動當然有政策上的因素但是你只有先天需要的
transcript.whisperx[322].start 25588.952
transcript.whisperx[322].end 25606.229
transcript.whisperx[322].text 南部有土地,台南的沙崙還有南科土地加起來大概有將近2000公頃還可以使用。另外就電力,其實現在北部的電力都是靠南電北送,長途的電力輸送增加損耗。
transcript.whisperx[323].start 25607.352
transcript.whisperx[323].end 25633.769
transcript.whisperx[323].text 尤其你在北部幾乎不可能再蓋新的電廠所以未來的高科技產業的發展勢必一定會往中南部移動這個也是必然的所以在未來的產業會往南部移動的前提之下我們希望政府我要提問的是我們的基礎建設做好了嗎我今天要來跟部長院長討論的就是說我們必須要超前部署
transcript.whisperx[324].start 25635.168
transcript.whisperx[324].end 25659.918
transcript.whisperx[324].text 我們必須要來進速發展提升南部的尤其台南的一些基礎建設像台南全世界最重要的半導體的生產基地還有未來AI最重要的一個發展的地方但是它的基礎建設尤其交通我今天特別要來請教院長還有李部長
transcript.whisperx[325].start 25661.411
transcript.whisperx[325].end 25690.262
transcript.whisperx[325].text 那我也跟總院長來報告啦,我跟李孟彥部長在談台南的交通啊,非常輕鬆啊,因為你知道嘛,他在台南活過很多年的時間啊,做過台南的局長,副市長,還有代理局長。所以,李孟彥,現在來當年我們的交通不正,對台南的交通,我當年跟他討論,有時候講了一些細節啦,不正不一定知道。那李孟彥部長喔,非常清楚啦,他甚至不用看圖啦。
transcript.whisperx[326].start 25698.746
transcript.whisperx[326].end 25716.934
transcript.whisperx[326].text 李部長非常的認真也情保也熟悉業務那他代表行政院去跟外界所做任何的協商我們行政院都非常支持好謝謝院長李部長就經過我們兩任市長我們就要同時把台南所抱的基礎幹線就三橫三縱他三條第二線就是台61
transcript.whisperx[327].start 25720.255
transcript.whisperx[327].end 25739.632
transcript.whisperx[327].text 國道1到國道3那三條環所謂三橫就是台84號快速道路就84號快速道路還有國道8還有86號那黃偉哲市長再多一橫就是北外環道路所以就由三橫三縱變成了三縱四橫
transcript.whisperx[328].start 25743.789
transcript.whisperx[328].end 25772.644
transcript.whisperx[328].text 那其中啦,這骨架道路都做差不多了啦。我們現在要破通的,就是要有一個破格的地方。那有一些缺口啦,我們要把它彌補起來。在這齁,我昨天早上知道齁,我最近兩星期,我每星期都邀請檸檬院部長到台南去。我們在看台南的一些溝通齁,尤其啊,針對藍科的地方啦。藍科齁,也讓左院長了解,藍科現在大概有9萬多個人。
transcript.whisperx[329].start 25773.476
transcript.whisperx[329].end 25796.303
transcript.whisperx[329].text 那未來短短幾年它會快速增加到數萬個人。藍科的產值啊已經超過足科了。像我剛才所說的,現在是全世界最重要半導體的生產基地啦。AI大力發展,都有在藍科,阿不就在沙崙。所以呢,這個部分呢,李部長有提一個非常好的建議啦。
transcript.whisperx[330].start 25798.86
transcript.whisperx[330].end 25811.479
transcript.whisperx[330].text 臺南市政府應該要針對大南科訂定一個生活圈的道路計畫所以我最近有請李部長幾乎每個禮拜去啦最近我跟李部長有講起
transcript.whisperx[331].start 25813.203
transcript.whisperx[331].end 25821.294
transcript.whisperx[331].text 例如,我們剛才說的烏橋中路,這是南口的一條烏橋中路,它被曾文熙凍掉了。那我們現在做一個橋,讓烏橋中路可以跨越曾文熙。
transcript.whisperx[332].start 25828.744
transcript.whisperx[332].end 25846.672
transcript.whisperx[332].text 同時曾文熙的右岸那條紅色的有一個南40線,他可以延伸到關田,讓曾文熙增加一條走廊,可以讓嘉麗、馬道、關田,這三個地方都有很多藍科的人,住在那裡很好,還是他上班要經過,讓他的溝通更加流暢,不用在那裡洗來洗去。另外,我剛才也說到西港大街的溝通改善,
transcript.whisperx[333].start 25857.341
transcript.whisperx[333].end 25879.167
transcript.whisperx[333].text 市港大橋現在交通非常可怕啦,經過公路總局的統計啦,一套在時上班時間,7點到8點啦,1點鐘內裏,9個車輛手有三千幾台,幾乎是一秒鐘啦,一秒鐘就有一台車9個啦,所以他那個交通啊,已經塞爆了,急需要一個改善的計畫,那這個計畫齁,
transcript.whisperx[334].start 25882.077
transcript.whisperx[334].end 25897.252
transcript.whisperx[334].text 現在臨時政務到交通部已經有定型了。這部分交通部這裡能夠盡快來完成這個西港大橋周邊的交通的改善。還有一個就是國道8號。
transcript.whisperx[335].start 25898.683
transcript.whisperx[335].end 25927.236
transcript.whisperx[335].text 如果院長有時間在台南,在你的台南,你如果遭到國盜包,你可能會看到一個奇蹟啦。國盜有紅色燈的啦,剛才這條啦,全台灣啦。國盜居然跑到一半變成平面道路啦,還有紅綠燈啦,還跟市區的道路這樣拍桿喔,還來到北館。這個部分啊,理事長也有答應,尤其在這個國盜配合在安定這個地方,我們要把它高架,把它縫合起來。
transcript.whisperx[336].start 25928.854
transcript.whisperx[336].end 25938.621
transcript.whisperx[336].text 部裡面也已經同意阿那現在阿我們需要阿總院長喔鼎力的來支持阿不然喔你看這個這都在人口旁邊出入必經之道
transcript.whisperx[337].start 25939.974
transcript.whisperx[337].end 25940.034
transcript.whisperx[337].text 另外﹖
transcript.whisperx[338].start 25959.489
transcript.whisperx[338].end 25985.574
transcript.whisperx[338].text 還有一段就是說國道保法還要再延長,因為在台南市的安安區,國道配合是臨時要進台南市區最重要的一條路,他要進安安區,要進中西區,要進安平,他都要遭國道配合,但國道配合在安安區,他很大的部分都變平面道路,都在停安卸停,那這個部分其實有一個界位,之前有上一個界位來交通部,
transcript.whisperx[339].start 25986.704
transcript.whisperx[339].end 26008.622
transcript.whisperx[339].text 就是這個國土配合你還要再拉長,要讓他可以經過台江大道到岸中路,從新籍過台江大道一直到岸中路,等於說把國道保護再拉長。那這個部分,甚至經費都估算出來了,大概要70幾億的預算。我也請請你們院部長,這條路你了解嗎?國土配合要再拉長這裡。
transcript.whisperx[340].start 26012.064
transcript.whisperx[340].end 26034.482
transcript.whisperx[340].text 我知道這是線型的,線型是一個平面大道,就是平面的台江大道,那如果國道8要,高架要往這邊延伸,整個還要再做一個進一步... 不,它是跟台江大道交叉而已啦。今天就是國,國道8其實它走在台時期線上,你等它就是把國道8,其實它就是這麼高架、這麼平面、這麼高架啦。
transcript.whisperx[341].start 26035.623
transcript.whisperx[341].end 26041.019
transcript.whisperx[341].text 我們剛才還要安定這個平面的部分給他補開嘛另外他還要安安顧料啊你能夠到這裡繼續讓他走啦
transcript.whisperx[342].start 26042.81
transcript.whisperx[342].end 26068.277
transcript.whisperx[342].text 因為他太多平面道路,留在安南區啦。所以變成喔,你如果市區過安南區要去國道保護,你會走很久啦。你在平面道路,你會太久啦。有太多的紅綠燈、太多的交叉路口。這部分喔,這條啊,我們非常重要。我請交通部,這部分喔,趕緊來完成這個會議。施政委已經有一個規劃了,也會送到交通部來。還有一個就是這個台86號。
transcript.whisperx[343].start 26069.855
transcript.whisperx[343].end 26077.197
transcript.whisperx[343].text 台86在首次中議定的時候,有核定台86的重擔就在國有內蒙去。那台86,也讓左院長看了解一下。台86跟剛才的8號都一樣,他就是台86離國道3號就近在咫尺。
transcript.whisperx[344].start 26092.898
transcript.whisperx[344].end 26092.918
transcript.whisperx[344].text 國道3號
transcript.whisperx[345].start 26116.574
transcript.whisperx[345].end 26127.979
transcript.whisperx[345].text 這不應該啦,就不應該那一小段路變成平面道路。這86號應該要給他接力討錢的,國道3號。這在首輪中議會的時候,我們就非常清楚啦。另外,雙區的黃定屋委員對這個案件他也很關心啦。他也幫忙協調地方啦。
transcript.whisperx[346].start 26136.783
transcript.whisperx[346].end 26158.974
transcript.whisperx[346].text 所以這個報文還牽涉到未來台南市及高雄市,兩個直轄市,這也是一個很重要,這個三區的通營的道路。這報文請高農部主評要趕緊來做。也就是說未來台南還有很多像新疆高流道、台港快速道路、六甲外環道路等等,這些都是未來非常重要的交通規劃,所以我跟你說,
transcript.whisperx[347].start 26161.425
transcript.whisperx[347].end 26179.718
transcript.whisperx[347].text 議員議員議員議員議員議員議員議員議員議員
transcript.whisperx[348].start 26180.359
transcript.whisperx[348].end 26202.456
transcript.whisperx[348].text 昨天委員長了解,台南的鐵路地下化,你應該提到台南的鐵路地下化,現在完全80%。那我們要再延長,因為延長過永康,因為應該說現在是台南最多人,二十幾萬人口的一個行政區。所以鐵路地下化,我一天請李孟彥部長來,把已經討論多年的永康的延伸段,把它確定清楚。
transcript.whisperx[349].start 26203.237
transcript.whisperx[349].end 26231.357
transcript.whisperx[349].text 所以現在醫療喔,鐵路鐵路的沿燈到櫻空車頭100,可以過永康的永大路。另外國立路就是新市啦,新市就開始高架。所以永康的鐵路地下化延伸喔,可以消毒,永康有三個平交道,三個路橋,一個人形地下道可以消毒。你要到新市喔,新市那台鐵高架啦,可以消除新市五個平交道,一個寒洞啦。
transcript.whisperx[350].start 26231.917
transcript.whisperx[350].end 26231.937
transcript.whisperx[350].text ﹚禮負長﹚
transcript.whisperx[351].start 26246.636
transcript.whisperx[351].end 26272.31
transcript.whisperx[351].text 完成這兩個部分,就是用鋼鐵路地下化的延長以及新式鐵路的立體化,這部分請議長等行政院合併而已,請行政院能夠全力來支持。再來就是捷運,因為六都只有台南沒有捷運,你知道嗎?其他五都都有,只有台南沒有捷運。那一天,農業部長到台南,有馬上支持,
transcript.whisperx[352].start 26276.251
transcript.whisperx[352].end 26292.925
transcript.whisperx[352].text 這個幾乎最新的一條黃線的捷運的規劃,因為這個運作也很重要,它在南區、在西區,因為西區過安南區到新吉南區。就是說它在南區、中西區、安平、安南區到新吉區的這個新的捷運。這個規劃案我們都寫,因為你們部長的職責。
transcript.whisperx[353].start 26296.889
transcript.whisperx[353].end 26313.803
transcript.whisperx[353].text 因為台南市的捷運,尤其是最成熟的是藍線,那時候這套算,現在已經保齡已經核定了,高農部核定了,上到行政院,等行政院核定,這保齡是不是請到卓院長進數啊,行政院來完成審定,好不好?
transcript.whisperx[354].start 26314.643
transcript.whisperx[354].end 26330.12
transcript.whisperx[354].text 市政府的基本設計已經完成,交通部也已經抱怨了。那我們現在加速來看看這個內容,那盡速把這個藍線讓他更成熟去執行這個藍線。那其他的還有綠線跟剛剛委員說的黃線,這可行性評估跟相關的作業都在進行當中。
transcript.whisperx[355].start 26331.324
transcript.whisperx[355].end 26332.824
transcript.whisperx[355].text 謝謝林委員謝謝院長下一位請李博毅委員質詢
transcript.whisperx[356].start 26386.946
transcript.whisperx[356].end 26413.016
transcript.whisperx[356].text 請卓院長請卓院長備詢請交通部林部長交通部李部長備詢李委員好請院長我很珍貴的這15分鐘交通部門的質詢各位院長的質詢還是要說明一下為什麼剛剛其他委員在講
transcript.whisperx[357].start 26413.908
transcript.whisperx[357].end 26440.351
transcript.whisperx[357].text 昨天立法院的委員會有四個委員會沒有辦法運作其中最重要一個就是院長你是最受信任的院長大家都信任你所以昨天內政委員會提出要提高罷免門檻要審議的時候因為大家對你的信任所以對這個罷免案大家無法來進行這些討論
transcript.whisperx[358].start 26442.155
transcript.whisperx[358].end 26469.733
transcript.whisperx[358].text 台灣的憲政體制要嘛你對於復議案的結果不滿你可能可以對行政院提出信不信任的案子要嘛你就是接受這個復議案但是現在國會實際的運作不是這樣他就是要當人民投下你立委這一票的時候其實同時人民手上還握有罷免的權利
transcript.whisperx[359].start 26470.984
transcript.whisperx[359].end 26477.816
transcript.whisperx[359].text 你當選了之後你要馬上改變人民罷免的這個權利大家當然不滿啊我們的機制是在另外一個所以我先
transcript.whisperx[360].start 26478.973
transcript.whisperx[360].end 26504.989
transcript.whisperx[360].text 跟院長說明大家是信任你所以我們會繼續捍衛人民罷免的權利所以再有相關的提案民進黨團還是會持續捍衛人民罷免的權利我非常珍貴的時間用了一分半鐘我要趕快來為南部的建設發聲在院長是5月20號就任在5月15號的時候我跟交通委員會去考察了小港機場
transcript.whisperx[361].start 26506.639
transcript.whisperx[361].end 26531.135
transcript.whisperx[361].text 小港機場行政院也非常用心包含我們之前的政府8年的政府其實也提出了兩期要擴張小港機場的建設一共分成兩個階段達到880億包含新的航廈包含航道的北移可是880億院長
transcript.whisperx[362].start 26533.737
transcript.whisperx[362].end 26555.491
transcript.whisperx[362].text 現在南部人要的不是這個說明給你、給院長聽在2019年的時候疫情前小港機場的國際航班到達4000個班次但是在2023年也就是去年度小港機場航班現在目前只恢復到2258次
transcript.whisperx[363].start 26560.865
transcript.whisperx[363].end 26588.427
transcript.whisperx[363].text 我們要的其實不只是多點的航班我們要的還有更大機型的飛機在疫情前小港機場我舉個例好了現在剛好是暑假旺季在疫情前小港機場飛到國人最愛的北海道是用A330的飛機也就是可以搭乘比較多人的雙走道的飛機飛在疫情後北海道還沒有復飛
transcript.whisperx[364].start 26589.827
transcript.whisperx[364].end 26613.415
transcript.whisperx[364].text 在疫情前高雄有一些航班會用A330或者是波音的747來飛但是在疫情後小港機場目前所有航班只剩下單走道飛機我再舉一個例子以華航小港飛東京跟桃園飛東京
transcript.whisperx[365].start 26615.074
transcript.whisperx[365].end 26623.34
transcript.whisperx[365].text 小港飛東京航班現在的承載率是96%桃園飛東京是80%那桃園飛東京三台飛機都是A350小港飛東京都是321都是小飛機
transcript.whisperx[366].start 26636.109
transcript.whisperx[366].end 26660.82
transcript.whisperx[366].text 在我們要大量投資小港機場的這個航廈之前要讓南部人可能出國旅遊甚至未來可能台南高雄已經超越新竹科學園區未來大量商務旅客進駐南部的時候小港機場沒有可以直飛歐美的班機這是我的忠誠目標
transcript.whisperx[367].start 26662.307
transcript.whisperx[367].end 26685.052
transcript.whisperx[367].text 甚至連中型航班A350波音737都沒有這個其實目前不用花錢可以做到的我也跟院長報告你還沒上任的時候我在3月6日在交通委員會質詢華航董事長他跟我說他現在正在買飛機等A350
transcript.whisperx[368].start 26688.052
transcript.whisperx[368].end 26708.006
transcript.whisperx[368].text 在2025年到的時候再來思考要不要到小港機場他跟我說他現在也正在買波音787的飛機等2020、2027年到位的時候再來做整體的思考如果我們要投資如果我們要讓南部的旅客
transcript.whisperx[369].start 26709.042
transcript.whisperx[369].end 26736.284
transcript.whisperx[369].text 有比較方便的中程目標是飛歐美但是有比較方便的像現在短程出了如果要飛三個小時以上的飛機其實用321來飛是不舒服的所以在這邊想要請教院長對於小港機場這一個擴建這一個新航廈的擴建的這一個態度會不會一樣另外我也要建議院長在這個擴建開始之前
transcript.whisperx[370].start 26736.903
transcript.whisperx[370].end 26736.963
transcript.whisperx[370].text 報告委員
transcript.whisperx[371].start 26755.885
transcript.whisperx[371].end 26773.316
transcript.whisperx[371].text 我日前才到桃園機場看第三航廈的進展工程的進展一樣的未來小港機場及機場有這樣的一個擴建的計畫我想行政院同樣的重視我們會全力的支持那至於現在因為我們剛剛我也提到過要開發這個大南方的計畫
transcript.whisperx[372].start 26774.156
transcript.whisperx[372].end 26774.176
transcript.whisperx[372].text ﹚廣告
transcript.whisperx[373].start 26790.492
transcript.whisperx[373].end 26790.872
transcript.whisperx[373].text 部長,我們說內行一點
transcript.whisperx[374].start 26818.462
transcript.whisperx[374].end 26844.571
transcript.whisperx[374].text 我們說雙走道飛機什麼時候來這個其實除了華航之外我們小雄機場的這些包含機艙的這些停放的優惠我們有蘿蔔也有棍子我們希望可以趕快有雙走道飛機來服務南部的鄉親但是我們更希望在短期內國人南部的所有的旅客或者是商務客比如說
transcript.whisperx[375].start 26846.607
transcript.whisperx[375].end 26865.415
transcript.whisperx[375].text 欸今年又有火星人要來高雄聽演唱會歐美沒有直飛啊還是從桃園桃園轉啊那各種大型的演唱或者是未來南部的這些半導體的產業園區中心商務客還是從桃園轉啊我們希望有一天
transcript.whisperx[376].start 26866.459
transcript.whisperx[376].end 26866.479
transcript.whisperx[376].text 是。
transcript.whisperx[377].start 26885.373
transcript.whisperx[377].end 26885.653
transcript.whisperx[377].text 來下一題。一樣是交通部。在
transcript.whisperx[378].start 26915.513
transcript.whisperx[378].end 26943.002
transcript.whisperx[378].text 德國跟日本對我們臺灣台積電都直接用補助都直接用補助來請這個台積電到去德國跟日本設廠那台積電在南梓他現在設三個廠那預計明年都開始亮廠所以我跟陳其邁市長其實對於南梓跟左雲周邊的這些交通包含軌道的建設我們是非常非常努力的在追
transcript.whisperx[379].start 26944.025
transcript.whisperx[379].end 26967.916
transcript.whisperx[379].text 那現在目前行政院其實也面臨到一個非常難的狀況我剛才坐在底下聽其他委員的質詢每一個人都要跟部長跟院長講一條線那我也一樣我這一條是紫線但是我很擔心的是在前瞻計畫裡面其實高雄有爭取到一條黃線捷運
transcript.whisperx[380].start 26969.707
transcript.whisperx[380].end 26996.626
transcript.whisperx[380].text 共同爭取到黃線捷運在分年編列的這些預算裡面包含113年中央必須補助119億包含114年中央必須補助119億包含115年中央必須補助139億這些可能都是左院長李部長分別要來編列分別要來支持但是在目前花東山法在目前才化法
transcript.whisperx[381].start 26997.652
transcript.whisperx[381].end 27012.974
transcript.whisperx[381].text 畫下去。我不知道行政院對於113、114、115黃線捷運有沒有可能預算縮水影響到黃線捷運的這些進度我很擔心這是第一點院長讓你講一下
transcript.whisperx[382].start 27014.37
transcript.whisperx[382].end 27033.671
transcript.whisperx[382].text 謝謝委員因為過去前瞻基礎建設確實幫助地方做了很多重要的公共建設那未來我們在預算編列過程當中如果盡量朝不編列特別預算的方式走的話那我們會炒到一大塊特別預算也少掉過去的前瞻基礎建設那前瞻第5期剩下700億
transcript.whisperx[383].start 27035.913
transcript.whisperx[383].end 27057.227
transcript.whisperx[383].text 謝謝
transcript.whisperx[384].start 27057.407
transcript.whisperx[384].end 27057.427
transcript.whisperx[384].text 議員發言
transcript.whisperx[385].start 27079.431
transcript.whisperx[385].end 27095.767
transcript.whisperx[385].text 二十五個二十四個車站地下七站那可能高價有十七站那總經費可能是需要一千八百八十四億當然這不是整段因為後面還有佛光山段等等的這個還沒有納入是只有從
transcript.whisperx[386].start 27097.088
transcript.whisperx[386].end 27109.796
transcript.whisperx[386].text 高雄醫學大學接民族路這一段踩地下往北到榮總這一段踩地下再往左邊往西到高鐵站這一串也踩地下
transcript.whisperx[387].start 27110.612
transcript.whisperx[387].end 27132.145
transcript.whisperx[387].text 通過高鐵之後要進入右昌地區要進入高雄大學地區要進入橋頭科學園區要進入包含我們的大學學園區這一段採高價一共需要1884億在捷運黃線的例子裡面在我們在推動捷運黃線的過程裡面捷運黃線從
transcript.whisperx[388].start 27134.636
transcript.whisperx[388].end 27138.001
transcript.whisperx[388].text 19年通過可行性評估到2022年實際動工一共花了大概5年的時間。
transcript.whisperx[389].start 27145.117
transcript.whisperx[389].end 27165.514
transcript.whisperx[389].text 我們希望在捷運子線通過可行性評估之後我們在環評上面我們就要來努力希望可以縮短兩年的時間希望可以在一年多的時間就可以達到環境影響評估那也希望後面的細部設計等等的動工等等都可以如期都可以順利的在2028、2029的時候順利動工這是我們希望
transcript.whisperx[390].start 27170.325
transcript.whisperx[390].end 27195.401
transcript.whisperx[390].text 所以剛剛部長講的這個預算我還要跟你加1884億部長捷運紫縣他其實是從南紫從現在台積電高鐵一路會服務到含捷運黃線會服務到三個醫療園區包含長庚醫院包含高雄醫學院包含榮總甚至包含義大
transcript.whisperx[391].start 27196.434
transcript.whisperx[391].end 27218.139
transcript.whisperx[391].text 那會包含七所大學那會包含橋頭科學園區跟台積電男子產業園區這麼重要產值那麼高的一條捷運線我也希望到時候在環境影響評估等等的那可以獲得行政院大量的支持這條線我也邀請院長跟部長來看看
transcript.whisperx[392].start 27219.277
transcript.whisperx[392].end 27240.339
transcript.whisperx[392].text 這個只限希望市政府、高雄市政府能夠儘速完成這個可行性評估。已經快出來了。那出來以後我們就請交通部、議程去辦理,我們進出來看。但是剛剛委員提到我們如果將來也沒有特別預算,前瞻預算也用完了,那將來在整個公共建設的預算當中無法這樣的膨脹的話,恐怕很多時程會往後延。
transcript.whisperx[393].start 27241.209
transcript.whisperx[393].end 27267.832
transcript.whisperx[393].text 這是我們擔心的。對,所以中央如果再沒有保持這種彈性靈活的財政的能力的話,那往後延的可能性是相當不可預測。臺灣的政治體制,中央院長就是要有能力,足夠的能力去佈局未來臺灣發展的方向。臺灣未來發展方向包含半導體,包含AI也有可能來高雄。這一些佈局要把人引來最重要的交通建設,我也希望院長可以加強這個佈局。
transcript.whisperx[394].start 27269.381
transcript.whisperx[394].end 27294.46
transcript.whisperx[394].text 也請委員支持我們中央保持這種彈性有能力的財政能力,我們就能夠均衡臺灣最需要的地方去,但這個也會顧及到各縣市的公平性,請大家放心。會啦,高雄值得投資。最後,男子交流道引道在李孟淵部長4月27號還陪同陳建仁前院長來視察包含鐵路地下化,
transcript.whisperx[395].start 27295.06
transcript.whisperx[395].end 27296.721
transcript.whisperx[395].text 接下來我們請吳秉瑞委員、張宏祿委員聯合質詢,詢答時間30分鐘。
transcript.whisperx[396].start 27337.816
transcript.whisperx[396].end 27345.683
transcript.whisperx[396].text 主席,麻煩請卓院長跟交通部理部長。好,卓院長、交通部理部長請備詢。委員,張委員好。你好。委員好。不知道你知不知道,我們中央
transcript.whisperx[397].start 27359.794
transcript.whisperx[397].end 27362.935
transcript.whisperx[397].text 道歉我還沒有看到確實的日期
transcript.whisperx[398].start 27384.266
transcript.whisperx[398].end 27413.201
transcript.whisperx[398].text 李部長應該很清楚因為你對台北縣的事情新北市的事情很了解這個題外變道就一段接一段現在就是從新莊的這個鐵路橋到樹林的三家之間這一段幾乎全部都是中央的經費那是委託新北市政府做一些工程7月18號現在我看到的資料是早上9點半要做啟用典禮他沒有邀請院長
transcript.whisperx[399].start 27415.681
transcript.whisperx[399].end 27442.487
transcript.whisperx[399].text 還不是沒有邀請院長而已沒有邀請小弟在下我這樣子的狀況這個只是一個個案像這個禮拜啊新北市環狀捷運線信福站旁邊的這個信福停車場經費由中央大量補助用前瞻基礎預算的建設的預算是
transcript.whisperx[400].start 27443.732
transcript.whisperx[400].end 27471.106
transcript.whisperx[400].text 本席很努力的爭取三個停車場之一新莊的三個停車場之一啟用典禮一樣沒有邀請立法委員就是市政府就自己辦了就算了然後好像我們都是無視人一樣根本都沒有關係一樣我是在想說這樣子的狀況一直發生在我們的身上我們到底是我們很努力的在為地方爭取
transcript.whisperx[401].start 27472.199
transcript.whisperx[401].end 27497.244
transcript.whisperx[401].text 地方該有的這些建設跟該有的這些設施結果只要經費給他給市政府然後他完工之後我相信他沒有通知本席應該也沒有通知交通部吧還是交通部有收到這個啟用典禮的邀請嗎目前我這邊沒有收到已經辦完了對沒有收到那個停車場的啟用典禮已經辦完了沒有收到邀請
transcript.whisperx[402].start 27498.703
transcript.whisperx[402].end 27519.73
transcript.whisperx[402].text 所以很多我們中央的預算補助地方是應該給地方錢讓地方有可以好好的建設當然是福國利民對我們新莊有很大的幫助問題是沒有人會講說這是中央進了多少努力中央的民意代表進了多少的努力
transcript.whisperx[403].start 27520.714
transcript.whisperx[403].end 27533.63
transcript.whisperx[403].text 全部都被一刀切因為你的工程委託他辦之後他自己完工之後全部都是他自己的宣傳全部都他的功勞跟我們都沒有關係一樣這樣的狀況一再的發生
transcript.whisperx[404].start 27536.888
transcript.whisperx[404].end 27561.293
transcript.whisperx[404].text 我舉了這幾個例子只是聽得到了所以我是在想說這中間是出了什麼問題交通部給錢之後就算了嗎中間給錢之後就算了嗎沒有跟他講說你啟用的時候或是說你要如果假設你要辦一個動工典禮做這些典禮儀式的時候都不用通知都不用邀請了還是你們這一方面都沒有在列管都沒有在沒有在要求
transcript.whisperx[405].start 27562.13
transcript.whisperx[405].end 27563.011
transcript.whisperx[405].text 對,如果是大筆的錢動輒幾十億的經費那中央補助了
transcript.whisperx[406].start 27590.233
transcript.whisperx[406].end 27615.306
transcript.whisperx[406].text 你好歹要啟用的時候你通知一聲那中央如果說跟你表達說啊對不起我那天有重要的公務所以我沒辦法去我派一個代表去那OK啊問題是他都不告訴你捏像我剛剛講的這個東西已經都辦完了你也不知道然後協助爭取經費的委員也應該要邀請新北市議員去啦那新北市議員回來跟我講說會中全部都是蔣新北市政府做的
transcript.whisperx[407].start 27617.022
transcript.whisperx[407].end 27626.279
transcript.whisperx[407].text 他也不去講說中央補助了多少錢中央的民意代表爭取了多少錢然後把所有的功勞全部都歸給地方還歸給地方特定的議員
transcript.whisperx[408].start 27628.523
transcript.whisperx[408].end 27628.683
transcript.whisperx[408].text 報告委員
transcript.whisperx[409].start 27658.295
transcript.whisperx[409].end 27680.804
transcript.whisperx[409].text 議員長跟部長,其實像中央補助,像我們現在也有很多人行道的改善工程,也都是中央的。其實地方他拿到錢之後,他擅自變更原來的設計。我們中央也管不著。我之前質詢也就是說我們這種問題,中央應該要一個管控的機制。
transcript.whisperx[410].start 27681.499
transcript.whisperx[410].end 27681.739
transcript.whisperx[410].text ﹚行政院
transcript.whisperx[411].start 27704.525
transcript.whisperx[411].end 27723.887
transcript.whisperx[411].text 在全台灣這個人行道的安全什麼這跟交通都有關的如果我們都沒有去做一個管控的話對不對好處不會留到行政院我們要的也不是好處但是他的變更設計跟原來設計不同這中間就是會有問題而且
transcript.whisperx[412].start 27725.171
transcript.whisperx[412].end 27754.061
transcript.whisperx[412].text 為什麼要變更設計而且他變更設計補助單位竟然都沒有智慧的餘地我覺得這個法令可能我們要修改一下要去了解一下好這樣不行請這個交通部還有內政部還有交通部的公路總局我們現在對於入口的改善會有一個到年底有一個相當明確的計畫一定要落實剛剛委員所說的這樣的情況我們來改進這個事實院長我覺得是要跟你講這個不是只有在交通方面其實在社會福利方面也是啊T-Plus
transcript.whisperx[413].start 27755.014
transcript.whisperx[413].end 27779.286
transcript.whisperx[413].text 在北台灣從桃園一直到基隆一千兩百塊只要那幾項的公共運輸都吃到飽對不對以前沒有太多使用者不知道這錢是中央補助的因為他都以為這是地方政府的政策那我舉這樣的例子是要跟你講說我們很認真在做這是對啦但是有時候在外面被掛了
transcript.whisperx[414].start 27783.953
transcript.whisperx[414].end 27792.667
transcript.whisperx[414].text 阿你也好歹反應一下因為這會影響到最後他為什麼宣傳勒選舉的時候講說我們的民意代表都沒有在做事阿他最後的結論就是這樣阿
transcript.whisperx[415].start 27797.281
transcript.whisperx[415].end 27826.148
transcript.whisperx[415].text 各位報告現在那個TPAS的那個卡我們都有要求上面要有一個印製這個是行政院是我知道那是因為後面有被反映的這個事情之後才開始這樣做嘛那在之前還有一些譬如說我們發那個六千塊直接就是說行政院入帳讓你的帳戶上面看得到誰做的是誰做的我們清楚啦我們清楚民眾不一定清楚所以像我舉這個例子
transcript.whisperx[416].start 27827.529
transcript.whisperx[416].end 27848.559
transcript.whisperx[416].text 新莊現在除了西順、九里之外所有的中央民意代表、區議員就是我啊那中央補助的費用我不敢說完全都是我爭取的,大部分是我爭取的啊但是他從來就不講最後選舉的時候用黨派的意見就告訴你說新莊的立委都沒有在做事
transcript.whisperx[417].start 27850.554
transcript.whisperx[417].end 27876.087
transcript.whisperx[417].text 這個對我們是非常的不公道那同樣的他可以這樣講說同樣的言下之意是你中央政府也都沒有在做事補助的錢變成白送給他了那我覺得這是要不得我們時事求是本來大家是一個中華民國是一個團隊大家一起做事誰做的就說誰做的誰出多少就誰出多少誰努力了什麼就努力了什麼
transcript.whisperx[418].start 27877.585
transcript.whisperx[418].end 27884.391
transcript.whisperx[418].text 所以我的意思是說如果你有大量款項的補助的時候要求這些單位要追蹤啦而不是他拿去了完成了然後就跟我們沒有關係了拿去了就跟我們沒有關係了不可以這個樣子
transcript.whisperx[419].start 27904.471
transcript.whisperx[419].end 27933.242
transcript.whisperx[419].text 像我剛剛講的那個題外變道的連接全部的費用99%以上都是中央出的就他7月18日早上9點半要辦啟用典禮你沒有接到通知啊我也沒有接到邀請啊地方上的人講說你看市政府又來幫我們做了一個這麼偉大的建設這個建設當初蘇貞昌院長有新聞給新北市政府新北市政府說交通上不是最優先所以他不出錢
transcript.whisperx[420].start 27934.659
transcript.whisperx[420].end 27949.009
transcript.whisperx[420].text 所以最後百分之百變成我們是中央政府出錢的結果中央政府全部出錢之後現在啟用典禮他來辦新北市政府來辦院也沒有邀請中央民意代表也沒有邀請這個完全是我看這個百分之百真的在我背後的行為我們這麼努力爭取了幾、多少年前就開始在講
transcript.whisperx[421].start 27962.745
transcript.whisperx[421].end 27983.794
transcript.whisperx[421].text 然後行政院最後在蘇貞昌院長的時候問他說新北市政府願不願意做這條路要不要來大家來協調要怎麼開要支出經費的時候他跟你講說不是優先的交通建設項目他一毛錢都不出欸這個張宏路委員也可以作證啊事實上就是這樣啊結果他7月16號辦啟用典禮了他完全不通知我們
transcript.whisperx[422].start 27986.417
transcript.whisperx[422].end 28012.037
transcript.whisperx[422].text 我現在回到因為我是地方選出的民意代表我們還是要講地方有幾個事情做得不錯希望繼續能加強第一個就是五股交流道的改善他現在的工程有超出進度進度是26點多但現在已經進行到30點多了希望交通部能夠繼續加油這個要到116年的4月完工
transcript.whisperx[423].start 28012.757
transcript.whisperx[423].end 28041.937
transcript.whisperx[423].text 可是這個如果能夠提早完工對地方是莫大的功德了。這一件事情做得很好,但是溫子郡從化學區馬上土地再過兩年就會分發下來,就開始建設,人口又會增加非常的多了。所以五股交流道改善了一部分,問題是絕對問題會繼續不斷。我們應該要想辦法來思考這個全台灣最交通最擁擠的交流道,
transcript.whisperx[424].start 28042.757
transcript.whisperx[424].end 28059.319
transcript.whisperx[424].text 有沒有泰山那一方面可不可以另外再弄一個引道之前一直有這樣的提案跟提議但是好幾個方案都一直被認為不可行就是說他不符合這個道路跟交流道的設計部長可不可以再想想辦法再想看看
transcript.whisperx[425].start 28060.987
transcript.whisperx[425].end 28075.685
transcript.whisperx[425].text 是,謝謝委員的鼓勵,我想五股交流道確實是一個很艱鉅的工程,因為這麼大的交通量,又要一邊通車,一邊行車,一邊要試工,那非常的不容易,因為有很多的改道等等的交通維持。
transcript.whisperx[426].start 28076.186
transcript.whisperx[426].end 28097.142
transcript.whisperx[426].text 議員議員議員議員
transcript.whisperx[427].start 28097.462
transcript.whisperx[427].end 28098.343
transcript.whisperx[427].text 這就是我要問的第二個問題
transcript.whisperx[428].start 28121.66
transcript.whisperx[428].end 28137.091
transcript.whisperx[428].text 這個台65南向在新莊我一直主張要增加第二個出口事實上這個也都研究也都納入說預計即將要發包了希望能夠順利能夠做但是你也是一樣錢給他他怎麼做
transcript.whisperx[429].start 28138.029
transcript.whisperx[429].end 28142.192
transcript.whisperx[429].text 我希望能夠盡量幫我們看緊那個時程因為時間就是對我們來講非常大的壓力再來我今天為什麼跟張鴻路委員聯合質詢一個問題就是我們有一個泰山到板橋的這個捷運那現在叫做泰板輕軌
transcript.whisperx[430].start 28165.219
transcript.whisperx[430].end 28173.385
transcript.whisperx[430].text 可是我是要跟你說在一個大都市裡面經過人口這麼稠密的地方板橋跟新莊跟泰山人口加起來一百多萬
transcript.whisperx[431].start 28174.935
transcript.whisperx[431].end 28200.425
transcript.whisperx[431].text 結果他是要用輕軌的方式這個是事實上引起地方上面想說如果你長遠的時間來看你不應該用這麼小的運量這是第一個問題第二個問題我們新莊的後港跟西盛地區就是南新莊的後港跟西盛十幾萬的人口沒有一條軌道運送也沒有捷運
transcript.whisperx[432].start 28202.448
transcript.whisperx[432].end 28222.44
transcript.whisperx[432].text 我的主張是在跟塔寮坑溪的交接的地方這個太阪捷運這個地方要走塔寮坑溪的路廊跟走到潭底溝最後就是走溪盛跟後港的中間最後走到監理站樹林的監理站接這個
transcript.whisperx[433].start 28224.014
transcript.whisperx[433].end 28251.69
transcript.whisperx[433].text 關大樹林縣這樣可以路軌可以連接的起來而且可以服務西森跟後港新莊地區這十幾萬的人口這個案子啊新北市政府目前只有說他是後續的計畫希望交通部能不能考量我們地方十幾萬人口的需要那剛好就是在我跟蘇巧慧委員的這個選區的中間那這一個地方十幾萬人都沒有沒有任何的這個
transcript.whisperx[434].start 28253.352
transcript.whisperx[434].end 28280.428
transcript.whisperx[434].text 這個軌道運輸也沒有捷運的這個服務希望是不是這一方面可以幫我們考量加強市政府如果他的動作不夠快交通部如何跟他指導如何跟他協助讓他能夠對我們這個地方的需要這條有一個很大的好處如果能夠跟這個河流共構的話當然基礎啦他如果建在河流的上面基本上不用多少拆遷就可以把這條路可以做起來
transcript.whisperx[435].start 28281.5
transcript.whisperx[435].end 28306.197
transcript.whisperx[435].text 以上這是我的主張跟建議希望院長跟部長能夠支持這個還要地方新北市政府做很多的規劃包括系統的形式新北市還在過規劃而且對一些這個路廊條件新北市好像還沒有做最後的決定犧牲到這個板橋射後這一段其中當中的我這一段是後港犧牲支線張豪路那一段是
transcript.whisperx[436].start 28307.097
transcript.whisperx[436].end 28308.539
transcript.whisperx[436].text 在大台北地區十幾萬的人口沒有任何的捷運可以用
transcript.whisperx[437].start 28325.72
transcript.whisperx[437].end 28326.36
transcript.whisperx[437].text 部長跟院長,其實啊
transcript.whisperx[438].start 28349.394
transcript.whisperx[438].end 28349.414
transcript.whisperx[438].text ﹝廣告
transcript.whisperx[439].start 28368.081
transcript.whisperx[439].end 28382.35
transcript.whisperx[439].text 新北市政府還給我們之前交通部拿了多少規劃設計經費的補助去了。也是我有協助爭取的。他錢都拿了。為什麼他辭職不核定?因為去年在選舉啦。
transcript.whisperx[440].start 28384.09
transcript.whisperx[440].end 28406.982
transcript.whisperx[440].text 他不想造成選舉的變成中央立法委員有去爭取就是這麼簡單所以他遲遲的在那邊拖選舉也過了我覺得交通部我們補助了他這麼多而且這個從涉後到犧牲支線那時候交通部連中央補助多少錢什麼的全部都算出來了
transcript.whisperx[441].start 28407.822
transcript.whisperx[441].end 28424.631
transcript.whisperx[441].text 然後呢他的西部他用什麼車型然後路幅多少都很詳細都出來了而且新北市政府的評估他也已經都有預留這個支線未來的這個
transcript.whisperx[442].start 28426.276
transcript.whisperx[442].end 28443.822
transcript.whisperx[442].text 通車的話他的如何去運轉還有包括他車輛要購買多少其實都留有伏筆都有了總之就是因為政治的因素所以脫惡了那我覺得啦交通部我們補助的新北市有這麼多而且這一個講白了
transcript.whisperx[443].start 28444.602
transcript.whisperx[443].end 28465.19
transcript.whisperx[443].text 就是政治因素遲遲他他他不那時候不想核定而已那時機已過我覺得交通部我覺得啦跟新北市政府溝通欸交通部要錢給新北市新北市竟然拒絕我覺得這個應該要大聲講出來啊啊不然新北市每天在跟你們講財化法在你們跟你們講說補助他不夠
transcript.whisperx[444].start 28466.03
transcript.whisperx[444].end 28476.817
transcript.whisperx[444].text 那這一條交通部就之前都已經說好了錢都出來了是新北市遲遲不報公文來而已這點我們應該可以大聲講阿
transcript.whisperx[445].start 28496.01
transcript.whisperx[445].end 28522.726
transcript.whisperx[445].text 我講的中運量是指是泰山到板橋這一條要用比較大的運量至於我們的支線我就沒有那麼高的要求因為我們也不想地方要拆遷很多的既有的建築物包括人民的房子跟土地啊所以為什麼我主張這一條走塔寮根西走潭堤溝的上面因為這樣幾乎就不用去拆遷既有的這個房屋了
transcript.whisperx[446].start 28523.462
transcript.whisperx[446].end 28538.712
transcript.whisperx[446].text 一樣在我們社會地區交通部規劃出來的路線也是幾乎不用拆房子什麼都已經出來了就只是擦心北市政府說這個他的一個公文而已那我覺得這一點我們要拜託部長
transcript.whisperx[447].start 28539.875
transcript.whisperx[447].end 28563.107
transcript.whisperx[447].text 新北市一天到晚在說你不補助他什麼的那這一條我們早就有補助了是他遲遲不報公文你也要大聲說給新北市民聽啊我們板橋社會地區十幾萬人口沒有捷運這對板橋的交通啊這衝擊很大啦我覺得這一點要拜託部長啦部長你覺得勒
transcript.whisperx[448].start 28563.618
transcript.whisperx[448].end 28582.606
transcript.whisperx[448].text 是,我想這個武泰輕軌那一直延伸到板橋可以說是另外一個環狀線的一個外環那我覺得而且他連絡好幾個既有的這個捷運可以把它串聯在一起所以我覺得他是有很好的這個轉乘或者接駁的這個效應
transcript.whisperx[449].start 28583.306
transcript.whisperx[449].end 28605.933
transcript.whisperx[449].text 那現在怎麼樣讓延伸線還有包括支線可以讓新北市這邊趕快的來啟動相關的這個可行性的規劃這個我們來協調讓他趕快的把這個規劃進行然後核定那第二個就是現在是採輕軌那是不是考慮用重運量才能來滿足未來的這個運量我們會再跟會再詳細的做這個運量的一個評估
transcript.whisperx[450].start 28611.639
transcript.whisperx[450].end 28630.961
transcript.whisperx[450].text 剛剛張委員講的齁我要提醒你齁他說新北市政府常常在那邊complain說中央對他的補助是少的虧待了他其實不是這樣子真實不是這樣你去給他算一算包括環狀縣各個捷運縣萬大處林縣山陰縣這些補助加起來的金額是非常大的我們是希望
transcript.whisperx[451].start 28632.369
transcript.whisperx[451].end 28656.901
transcript.whisperx[451].text 真的有給他補助那麼多就具體的統計出來不要每天被他吃豆腐說什麼我們都沒有在照顧新北市所以這一點也是希望你們要努力的要很會做事但是也要把東西講得清清楚楚不要被他占了便宜然後他得了便宜還賣乖你部長把統計數字送給委員要參考送給我之外要讓社會大眾能夠知道
transcript.whisperx[452].start 28658.266
transcript.whisperx[452].end 28681.903
transcript.whisperx[452].text 我們的意思是說新北市政府常常在穿我們中央政府的小鞋都說我們補助他沒有補助很少我覺得這個應該也要大聲講我們剛剛講的這個事後跟犧牲支線這個其實都已經規劃得很詳細了就是只差他自己公文不報來而已那我剛剛已經講了什麼原因了這點
transcript.whisperx[453].start 28683.544
transcript.whisperx[453].end 28707.618
transcript.whisperx[453].text 交通部也應該要講啊交通部本來就準備好了是你新北市政府的行政帶舵你新北市政府你是對不起新莊跟板橋的市民啊我覺得這一點應該要講啊讓新北市政府不然他都跟地方講說沒有啦交通部又沒有錢要給我們這樣子背黑鍋又是我們行政院交通部
transcript.whisperx[454].start 28708.693
transcript.whisperx[454].end 28723.33
transcript.whisperx[454].text 謝謝委員今天有機會讓交通部來說明這個清楚,我想以後要特別注意,我們已經有計畫的拖延時間下來了,一定對地方造成不便,我們應該主動去爭取說明的機會,或是要求地方政府來加速配合的這個時程。
transcript.whisperx[455].start 28726.82
transcript.whisperx[455].end 28747.296
transcript.whisperx[455].text 另外部長,進勞卡的點數從去年開始可以做台鐵,但現在不是全台灣每個縣市都可以做台鐵。我不知道部長你知不知道其他縣市還沒有開始的原因是什麼?
transcript.whisperx[456].start 28749.977
transcript.whisperx[456].end 28775.291
transcript.whisperx[456].text 我知道目前已經有14個縣市有加入敬老卡搭乘台鐵的措施那其他還沒有進來的部分我想我們會再請台鐵跟這些縣市來溝通看怎麼樣讓他們知道有這樣的一個機制那可以讓他們的長輩這些縣市的長輩能夠有更優惠更好的交通工具來提供服務
transcript.whisperx[457].start 28776.915
transcript.whisperx[457].end 28788.773
transcript.whisperx[457].text 另外部長你支不支持台鐵都可以搭了高鐵可不可以也開放敬老卡讓我們的長者也可以用點數去抵扣去搭高鐵
transcript.whisperx[458].start 28790.657
transcript.whisperx[458].end 28807.739
transcript.whisperx[458].text 高鐵因為他的金額比較大他可能一趟或是半趟就把敬老卡的金額都用完他的意思就是這樣子啊用完就用完了剩下的就是補現金啊他們現在計程車的搭乘在地方上他一直給你50塊
transcript.whisperx[459].start 28809.258
transcript.whisperx[459].end 28816.144
transcript.whisperx[459].text 府長錢多少是一件事情給長者方便又是一件事情這筆錢本來就是他們可以用的你如果開放的多他就可以用的多我簡單舉一個才不會剩下的到下個月就不見了你先聽我講齁
transcript.whisperx[460].start 28836.101
transcript.whisperx[460].end 28858.973
transcript.whisperx[460].text 你說錢不夠,那我們以臺灣搭台鐵的,屏東一個月500點。部長,500點高鐵如果從屏東,他至少從高雄坐到台中應該有了吧?因為他本來就是半票啊,他坐到台中應該有了吧?剩下的他其他他自己補就好了啊。
transcript.whisperx[461].start 28859.95
transcript.whisperx[461].end 28879.662
transcript.whisperx[461].text 對不對我覺得這一個錢多少我覺得你只要開放人家就會用而且部長你知不知道像高雄市政府他們已經有在研擬這一個進勞卡的這一個不要每個月每個月算他是用一年來
transcript.whisperx[462].start 28881.483
transcript.whisperx[462].end 28900.076
transcript.whisperx[462].text 來算的因為我們政府的預算本來就是編一年啊地方議會也都通過這筆預算啊那你都通過一年的預算了你還是讓人家很不好使用高雄市政府有在研擬這個我不知道部長你知不知道啊其實如果他這樣子可以做的話
transcript.whisperx[463].start 28901.226
transcript.whisperx[463].end 28923.539
transcript.whisperx[463].text 我們只要花一筆錢改善這個路口的那個雜票的那個設計改一下就好了所以我才會提出這個所以我覺得部長我認為啦應該也可以是嘗試的去開放讓人家搭高鐵你看我剛講的500塊
transcript.whisperx[464].start 28925.62
transcript.whisperx[464].end 28944.307
transcript.whisperx[464].text 人家是一個月五百塊呢?那如果人家高雄是可以累積一整年,反正他用完就沒有了啊,對不對?也政府沒有多支出一毛錢。政府的預算沒有多支出喔,對不對?那他就好使用啊。那人家高雄如果是一年的話,人家他搭兩趟
transcript.whisperx[465].start 28945.955
transcript.whisperx[465].end 28945.975
transcript.whisperx[465].text ﹚高鐵
transcript.whisperx[466].start 28975.635
transcript.whisperx[466].end 28976.055
transcript.whisperx[466].text 部長可以搭台鐵是我
transcript.whisperx[467].start 28994.135
transcript.whisperx[467].end 29019.923
transcript.whisperx[467].text 從上一屆我努力了4年本來台鐵也是有很多想法我後來就說你就把這一個機制把它建立起來人家要的縣市就會主動加入了高鐵我認為也是一樣其實他只要改這個他驗票的這個程式沒有花多少錢你把這一個可以用的這一個機具這個把它
transcript.whisperx[468].start 29021.958
transcript.whisperx[468].end 29048.149
transcript.whisperx[468].text 這個平台你把它用好我跟你講人家有的縣市的人人家就會主動來了那你沒有的縣市我跟你講那他自己要要去承擔他的責任彼此會比較對啊彼此會比較他自己會去承擔所以我會覺得就是說讓台鐵跟高鐵都可以搭這個才對我我們的長輩是一個好處沒有花多花政府一毛錢那只要協調高鐵
transcript.whisperx[469].start 29049.531
transcript.whisperx[469].end 29053.433
transcript.whisperx[469].text 我很願意站在委員的立場為長輩來設想讓他們提高他們的活動力所以我們這個朝多元而且靈活運用的方向跟相關的單位來做協調謝謝
transcript.whisperx[470].start 29073.07
transcript.whisperx[470].end 29094.504
transcript.whisperx[470].text 對啦,院長我為什麼會特別提這個,其實各縣市政府認真做的,有的進勞卡都可以去搭計程車了,也可以有的可以去租借腳踏車了,有的甚至這個那個什麼運動的中心什麼他都可以開放了,那我們中央政府我們如果基於
transcript.whisperx[471].start 29095.766
transcript.whisperx[471].end 29116.147
transcript.whisperx[471].text 關心長者的角度我們主動去把高鐵的這一個驗票的系統我們去補助他一點錢也好讓他去建制這樣我跟你講就會有縣市可以搭了啦之前台鐵一直在講說啊怎樣怎樣我後來我生氣我說你就花一筆錢你把它用好
transcript.whisperx[472].start 29117.13
transcript.whisperx[472].end 29121.972
transcript.whisperx[472].text 非常謝謝委員的建議雖然這涉及部分涉及到地方的自治事項跟地方政府的財政規劃但是我想交通部積極來協調這個事情
transcript.whisperx[473].start 29145.555
transcript.whisperx[473].end 29147.235
transcript.whisperx[473].text 謝謝兩位委員,謝謝卓院長。報告院會休息10分鐘,休息之後繼續進行質詢,現在休息。
transcript.whisperx[474].start 29379.65
transcript.whisperx[474].end 29380.998
transcript.whisperx[474].text 響鐘
transcript.whisperx[475].start 29435.401
transcript.whisperx[475].end 29436.323
transcript.whisperx[475].text 響鐘
transcript.whisperx[476].start 29539.599
transcript.whisperx[476].end 29542.09
transcript.whisperx[476].text 響鐘
transcript.whisperx[477].start 29833.86
transcript.whisperx[477].end 29834.901
transcript.whisperx[477].text 發言會現在繼續開會,請蘇委員巧會質詢。謝謝主席,我們請卓院長。請卓院長備詢。
transcript.whisperx[478].start 29864.407
transcript.whisperx[478].end 29880.042
transcript.whisperx[478].text 院長好,院長剛剛我們聽了這個張宏祿委員和吳秉瑞委員的聯合質詢了,確實新北的交通問題真的是很多,因為我們需要的建設確確實實是非常的多。其實如果院長
transcript.whisperx[479].start 29880.883
transcript.whisperx[479].end 29904.795
transcript.whisperx[479].text 知道其實你對我們新北也是有夠熟那尤其今天部長在這裡更是我們以前臺北縣這個資深的官員嗎那你看新北市的人口呢如果普查起來就有403萬常住人口更是436萬這麼多的人口如果用密度來講的話雙北一起看前五個密集最高的區裡面四個都是我們新北的啊不管是這個
transcript.whisperx[480].start 29905.555
transcript.whisperx[480].end 29908.997
transcript.whisperx[480].text 我給院長這邊我用了一張圖來表示你看我去用Google Map他來看的這張圖是星期一早上8點半
transcript.whisperx[481].start 29933.612
transcript.whisperx[481].end 29936.335
transcript.whisperx[481].text 的這個雙北的狀況,部長這樣的圖齁,你應該有常常看Google Map吧,應該有看過嘛齁,院長應該也有看過,應該能夠理解紅色的線是什麼意思?
transcript.whisperx[482].start 29944.892
transcript.whisperx[482].end 29947.473
transcript.whisperx[482].text 我自己在看新北交通問題的時候我是把它舒緩成為是一個這樣的同心圓來讓
transcript.whisperx[483].start 29974.723
transcript.whisperx[483].end 29991.533
transcript.whisperx[483].text 大家彼此好溝通。我的同心園理論是這樣,如果是臺北市是第一圈的話,那麼依著剛剛說的人口稠密度以及地理位置的話,我們顯然可以有第一圈,就是板橋、三重、新莊、中友河等等,
transcript.whisperx[484].start 29992.133
transcript.whisperx[484].end 30020.352
transcript.whisperx[484].text 那還有外面的第二圈那他們的問題其實會都不一樣比如說以靠近台北市的第一圈的話他最需要的就是直接進入台北市的聯絡道路嘛就是跨河進去台北市不管你是用什麼樣的方法反正讓我過了河進到台北市可以上班上學這樣就好可是第二圈的話他就還加上了要如何移動到第一圈才能再往台北市前進
transcript.whisperx[485].start 30021.172
transcript.whisperx[485].end 30045.501
transcript.whisperx[485].text 所以第二圈連第一圈的道路對我們來講就非常非常的重要這甚至包括了你在設計快速道路的時候如果能夠有像剛剛秉瑞委員在說的不管是國道一號的交流道也好或者是快速道路的新莊的這種他的閘道能夠增加也好對我們來講其實都是第二圈和第一圈之間能夠再多有
transcript.whisperx[486].start 30046.061
transcript.whisperx[486].end 30050.064
transcript.whisperx[486].text 第三類的問題是如果我們能夠把這個第二圈的這個部分就像我現在列的這邊齁是林口、巴黎啊或者是我自己土樹山陰等等這一些地方
transcript.whisperx[487].start 30069.138
transcript.whisperx[487].end 30084.974
transcript.whisperx[487].text
transcript.whisperx[488].start 30085.074
transcript.whisperx[488].end 30108.82
transcript.whisperx[488].text 那其實對於不但我們彼此之間的交通可以快速而且對於舒緩前面第一圈的交通流量當然也是大幅減輕這個道理也是非常非常清楚這完全沒有問題吧好那我們就回到實際例子來看我必須在這裡齁我先在這裡啦先在這裡感謝行政院這幾年對我們新北的建設我就以
transcript.whisperx[489].start 30109.6
transcript.whisperx[489].end 30133.928
transcript.whisperx[489].text 我自己的選區遭遇的例子也就是公路體系符合今天我要質詢的題目公路體系來講我必須說這兩條交通建設對我們來講非常非常的有效像是台65這個快速道路增設一個福州橋閘道這個地方這個地方全部的預算4.7億全部都是中央出的啊
transcript.whisperx[490].start 30134.755
transcript.whisperx[490].end 30156.291
transcript.whisperx[490].text 但同樣一個快速道路就因為增設了這樣一個閘道我每次這樣往返的時間可以少20分鐘以上這個車程是整個地方大家都撐到的部分因為它就有效疏解了我們的第二類問題嘛我們不用再進到進到第一圈裡面我們第二圈自己就可以處理了這就是舒緩好
transcript.whisperx[491].start 30157.772
transcript.whisperx[491].end 30181.785
transcript.whisperx[491].text 還有另外環快道路就是剛剛吳秉瑞有人在在的提到這個所謂要通車新北市政府到底有沒有邀請中央的這個部分這一條我們這個環口的快速道路即將通車也是中央政府不但從規劃一直到預算是全部都是中央出的這一條呢更是大大了解決了
transcript.whisperx[492].start 30182.725
transcript.whisperx[492].end 30208.088
transcript.whisperx[492].text 我們新莊、樹林、英哥這種外圈的串聯之外當然也疏解了如何進去第一圈進到臺北市這樣的交通問題所以這兩項建設都大獲好評那用這樣的例子我今天既然院長你也完全認同我剛剛的說法我剛剛花了5分鐘的時間在跟你溝通這個而且也實力給你看了
transcript.whisperx[493].start 30208.809
transcript.whisperx[493].end 30231.989
transcript.whisperx[493].text 那麼今天我有兩項,是不是請院長這邊可以在備詢臺正式的承諾吼。那第一個就是我們的林口到巴黎的105號這個市道的部分。如果用剛剛的這個同心園來看,其實這條是林口到巴黎之間喔。因為它的山路很崎嶇嘛,其實路況很差。如果這個地方的市道能夠做起來,
transcript.whisperx[494].start 30233.15
transcript.whisperx[494].end 30233.43
transcript.whisperx[494].text 市政府這邊
transcript.whisperx[495].start 30255.775
transcript.whisperx[495].end 30270.523
transcript.whisperx[495].text 應該是也有做了爭取了啦所以我雖然雖然我現在我們收到了陳情我們來一起協助爭取畢竟我是新北市的委員嘛那院這邊是不是可以支持我們這樣的一個計畫如同以前支持其他的計畫一樣
transcript.whisperx[496].start 30272.264
transcript.whisperx[496].end 30286.709
transcript.whisperx[496].text 謝謝蘇委員剛剛所提到的我想行政院過去以來到現在不會看地方執政是誰當然建設是一體的國家是大家的對新北市的補助規劃也都相當好也得到大家的肯定也謝謝委員在各地的爭取
transcript.whisperx[497].start 30287.649
transcript.whisperx[497].end 30304.208
transcript.whisperx[497].text 剛剛提到105號的道路我們過去在看淡江大橋的時候有約略提到這個部分所以我說有時間我們可以再去看一下到底現場現在到了什麼程度未來需要交通部做一些什麼的努力我們來看看綠條是非常非常的有需要啦
transcript.whisperx[498].start 30304.588
transcript.whisperx[498].end 30334.208
transcript.whisperx[498].text 但是因為我們都知道他的公法是比較難一點所以金額也很大我們在這裡期待的是吼我們已經不是第一次關心這也不是在這裡才開始關心嘛就是因為金額大然後所以我們需要的補助多不但需要行政院的核定而且希望補助的金額能夠越多越好所以我在這裡再一次跟行政院爭取我們認為這條是有需要的對新北市是重要的所以我們希望這條行政院能夠盡速核定
transcript.whisperx[499].start 30336.128
transcript.whisperx[499].end 30356.394
transcript.whisperx[499].text 這一條確實是可以讓林口新市鎮這一帶包括龜山很多產業他的包括卡車他的包括車輛往西濱往淡江大橋往這個桃園機場的運送他不是只有這一段的消費而他是延伸到整個區塊所以
transcript.whisperx[500].start 30358.234
transcript.whisperx[500].end 30384.41
transcript.whisperx[500].text 即便現在錢看起來多,但是我覺得它的效益是無遠弗屆的,所以這條實在要請中央大力支持。所以這不只是一圈一段的問題嘛,這是第一個。第二個是我更熟悉的,也就是剛剛說的台65號快速道路的部分。過去我們爭取的是福州橋閘道,一個閘道的部分。但是眼看著,其實台65它單負的功能其實非常非常的大。
transcript.whisperx[501].start 30384.87
transcript.whisperx[501].end 30413.874
transcript.whisperx[501].text 所以現在呢我們在提出另外一段的計畫就是他本來是從板橋開始嘛然後一路延伸到了土城我們現在是不是有機會可以再把它再延展下去甚至到桃園的龍潭也就是變成現在大家希望能夠爭取的板龍快速道路從台65變成板龍我想這一段增加的這一段其實也是舒緩了剛剛我說的第四類的問題就是我們的第二圈能夠跟其他的地方就台北市以外的地方的
transcript.whisperx[502].start 30414.514
transcript.whisperx[502].end 30415.134
transcript.whisperx[502].text 先請部長講一下進度
transcript.whisperx[503].start 30435.224
transcript.whisperx[503].end 30460.231
transcript.whisperx[503].text 我想現在如果大家行經這個北二高從龍潭一直到中和特別是從大概英哥到中和這一段非常的塞如果這個板農能夠做那讓板橋到這個龍潭這一段有一個第二條這個相關的聯絡的這個快速道路我想對整個疏解北二高這邊的塞車通勤等等的這個
transcript.whisperx[504].start 30461.131
transcript.whisperx[504].end 30462.512
transcript.whisperx[504].text 方便性可以增加很多
transcript.whisperx[505].start 30482.486
transcript.whisperx[505].end 30507.689
transcript.whisperx[505].text 我們在爭取建設的心情還是是一樣的對新北是好的我們都一樣向行政院爭取相信行政院也會給我們最大的支持跟鼓勵啦所以我們希望有計畫的就趕快核定有補助就給我們最多的是跟委員報告也把這一條列入大細股桃竹廟大細股裡面的重要的一個交通很好預計明年的4月3月到4月就可以提出相關的期中報告
transcript.whisperx[506].start 30508.089
transcript.whisperx[506].end 30534.835
transcript.whisperx[506].text 好,非常好。我們希望整個會越快越好。甚至是我在這裡也要求交通部,是不是可以就新北市已經有的,剛剛在說的,不管您剛剛有聽到,不然剛剛聽到我說的幾類的問題嘛。我認為如果還有機會可以增設,增設公路系統,把公路網串接起來的,我都希望能夠再討論,我們來規劃,並且來繼續支持。所以不然如果有在研議中的計畫,我希望能夠我的辦公室可以得到一份這樣的資料。好。
transcript.whisperx[507].start 30536.455
transcript.whisperx[507].end 30554.423
transcript.whisperx[507].text 這是關於公路網的部分,但是喔,院長,我也剛也跟你提到了,因為新北市就是繞著臺北市這樣的幾個圈圈,可是那個第一圈來講,它的人口稠密實在是太多了,稠密度太高了,高到其實已經沒有空間可以再蓋新的路,這就是我們的現況。
transcript.whisperx[508].start 30555.663
transcript.whisperx[508].end 30561.548
transcript.whisperx[508].text 所以我想來想去真的要解決交通擁捨的問題其實還是必須靠大眾運輸啦好可是你來看喔我們去調查了這些資料來看這幾年新北市的這個公共運輸狀況啊其實反而連疫情前的狀況都還沒有回復到喔
transcript.whisperx[509].start 30573.598
transcript.whisperx[509].end 30596.973
transcript.whisperx[509].text 沒有回復到疫情前搭乘的狀況,更不要說越來越好,完全沒有,連疫情前的都還沒有。你看現在111年搭乘公共運輸是有史以來最低的,然後呢用私人運具是最高的。大眾運輸呢公車的運量路線長度6年成長了10%但是搭公車的人數6年萎縮了7%
transcript.whisperx[510].start 30600.273
transcript.whisperx[510].end 30602.917
transcript.whisperx[510].text 現在的使用公車的人次只有2300多萬。109年的時候還有2500萬。你覺得這是什麼問題啊?
transcript.whisperx[511].start 30610.862
transcript.whisperx[511].end 30615.603
transcript.whisperx[511].text 我想疫情期間因為大家不鼓勵大家在群聚在一個密閉空間所以那時候的運量包括公車包括捷運也都下跌
transcript.whisperx[512].start 30635.087
transcript.whisperx[512].end 30654.038
transcript.whisperx[512].text 現在疫情之後捷運高鐵大概陸續都有回升台鐵也有回升那唯獨公車還是比去年比疫情前大概還是下跌了我覺得作為一個新北市民我坦白講啦我們搭大眾運輸的比例沒有台北市民高就是因為他的路網不夠方便
transcript.whisperx[513].start 30654.878
transcript.whisperx[513].end 30681.098
transcript.whisperx[513].text 他沒有像台北市民這樣我可能走出去很大一部分的人走出去沒多久就有公車就有捷運我們其實可能要走很久那還不如騎一台摩托車我算給部長跟院長聽如果是我我樹林喔我們坐火車到台北上班單程票是18元一天36元一個月用25天上班好了那就是900塊可是你的T-pass呢目前是1200塊錢
transcript.whisperx[514].start 30683.246
transcript.whisperx[514].end 30699.954
transcript.whisperx[514].text 所以等於是我如果都只能認真上班我沒有出去玩我沒有用到其他的方面其實我買T-pass不會合啦那如果我是三重人我平常是騎我平常是坐公車的好了我平常是坐公車去台北上班三重人到台北公車一段15塊錢嘛
transcript.whisperx[515].start 30701.215
transcript.whisperx[515].end 30716.373
transcript.whisperx[515].text 那15塊上下班30塊一個月25天那更是只要750塊啊所以對我們來講TPAS雖然聽起來很不錯但實際換算以後好像沒有說真的很划算
transcript.whisperx[516].start 30716.934
transcript.whisperx[516].end 30736.954
transcript.whisperx[516].text 所以又不夠方便不夠離我家近錢好像也沒有多省那我為什麼會選擇大眾運輸呢所以我想來想去我想在這裡很誠摯的建議行政院TPOS有沒有可能設計2.0版本他的起因是為了鼓勵更多人使用大眾運輸系統
transcript.whisperx[517].start 30738.135
transcript.whisperx[517].end 30738.335
transcript.whisperx[517].text 院長你怎麼看?
transcript.whisperx[518].start 30755.742
transcript.whisperx[518].end 30769.187
transcript.whisperx[518].text 謝謝委員,我們昨天在院會曾經對過這個公路客運的系統在一後沒有預期的這樣回復做了一個報告案其中對於公路的路線、票價、人力的短缺以及...
transcript.whisperx[519].start 30786.77
transcript.whisperx[519].end 30790.562
transcript.whisperx[519].text 好,謝謝蘇委員。下一位請林月琴委員質詢。
transcript.whisperx[520].start 30818.701
transcript.whisperx[520].end 30822.443
transcript.whisperx[520].text 主席好,麻煩我們的卓院長。請卓院長備詢。林委員好。院長午安,辛苦了。我來自民間團體也長期關心兒少跟交通安全。今天我先針對於在這個會期裡邊一直想解決的一些問題,
transcript.whisperx[521].start 30847.648
transcript.whisperx[521].end 30875.218
transcript.whisperx[521].text 先來就教一下我們的院長跟部長那第一個事實上是無照駕駛的問題從這個數據可以看到平均每一年大概7萬人的傷亡那而且他累積比例就累犯比例非常高而且事故件數呢但近5年大概成長22%照試的死亡率高他堪比酒駕更嚴重所以想問的是
transcript.whisperx[522].start 30877.56
transcript.whisperx[522].end 30887.781
transcript.whisperx[522].text 除了提高我們的罰款以外,針對其他更有效的管理措施,像扣車和連帶處罰,不知道部裡邊有沒有修法的打算?
transcript.whisperx[523].start 30890.669
transcript.whisperx[523].end 30915.855
transcript.whisperx[523].text 現在我們確實是對無照駕駛有研擬更進包括提高罰則讓無照駕駛的部分可以得到抑制至於說是不是要有扣車跟連帶處罰就是說跟他同乘的或是說車子借給無照駕駛使用的是不是有連帶的處罰這個部分我們還要再做開會來廣泛徵求各界的意見
transcript.whisperx[524].start 30920.424
transcript.whisperx[524].end 30928.178
transcript.whisperx[524].text 我會在這時候提示因為未成年無照駕駛真的死傷非常的嚴重所以希望說當然不是只有未成年事實上成年無照駕駛這個問題
transcript.whisperx[525].start 30929.673
transcript.whisperx[525].end 30951.249
transcript.whisperx[525].text 也造成每一年有近千億的社會成本,可能要去考慮。接下來就想也要問的是,針對幼童專用車,目前我們是不安全又沒得選。為什麼不安全?現在只能靠一款車,可是它沒有安全氣囊,沒有任何所謂的主被動安全系統,也沒有碰撞測試。
transcript.whisperx[526].start 30952.267
transcript.whisperx[526].end 30963.932
transcript.whisperx[526].text 我不知道也很簡單的請部長回答就是何時能夠讓我們有安全的幼童專用車可以搭乘未來是不是有幼童專用車改善的2.0版的方案
transcript.whisperx[527].start 30964.983
transcript.whisperx[527].end 30965.003
transcript.whisperx[527].text 市長
transcript.whisperx[528].start 30983.089
transcript.whisperx[528].end 31002.277
transcript.whisperx[528].text 但是碰撞的測試、碰撞的檢驗或者是兒童坐椅的等於是坐椅的安全帶因為過去之前有討論過坐椅安全帶要不要強制設置那有很多的專家是擔心萬一有發生狀況的時候兒童不會自己解開安全帶
transcript.whisperx[529].start 31003.597
transcript.whisperx[529].end 31028.974
transcript.whisperx[529].text 所以當時這個部分有被擱置,不過我們會再重啟。對,是,部長,因為每一天事實上是2到6歲的孩子在乘坐幼童專載車,而且現在目前有2000多輛,而且我們國內只有一款車,真的是沒得選。所以我希望能夠2.0版盡快能夠出來,來照顧我們的孩子。就是說在這個40項檢驗之外,那對於碰撞是不是造成傷害,怎麼樣去補強,或是說增加這個檢驗?
transcript.whisperx[530].start 31029.915
transcript.whisperx[530].end 31051.481
transcript.whisperx[530].text 不過我知道中華德力卡是沒有所謂的事實上的碰撞的,甚至相關的事件,所以我覺得可能還是要去考慮這一塊。可是今天我主要的議題是在於,因為今天這個題目我是背負著公民團體的期待下來進行質詢的,所以也希望能夠我們一起幫幫忙來解決這樣的一個狀況。
transcript.whisperx[531].start 31053.544
transcript.whisperx[531].end 31061.151
transcript.whisperx[531].text 首先我要問院長你同不同意現在的交通違規的罰環是政府的提款機?應該不是吧?
transcript.whisperx[532].start 31062.038
transcript.whisperx[532].end 31088.28
transcript.whisperx[532].text 對我想也是可是臺灣從我們的交通違規被罰到我們的法環的分配的話很常被我們的入權團體嘲笑是一台提款機、永動機為什麼他們這樣講第一我們的道路環境不佳造成違規然後呢造成人民被罰被罰之後我們的法環又沒有用於我們的環境改善然後再度的違規再度的被罰第二我們的法環事實上是用於購買科技的執法設備
transcript.whisperx[533].start 31089.521
transcript.whisperx[533].end 31102.154
transcript.whisperx[533].text 並沒有用到道路環境的改善,可是現在科技執法不記點,坐任我們的高風險的駕駛人繼續的危害弱勢用路人,形成了一個惡性循環。
transcript.whisperx[534].start 31104.469
transcript.whisperx[534].end 31122.72
transcript.whisperx[534].text 請問一下我們看一下院長跟部長看看這些道路的環境設計的問題是不是一直在陷害我們的用路人這則新聞提到的是騎樓停滿車沒路可走那行人被取締不靠邊走可是我要問的是如何靠邊走已經是沒路可走了
transcript.whisperx[535].start 31123.34
transcript.whisperx[535].end 31134.131
transcript.whisperx[535].text 下一則新聞就可以看到之前在文化大學我們的周遭環境因為沒有人行道而他必須貼著路邊走然後呢被撞死的一個便當店的老闆娘
transcript.whisperx[536].start 31135.046
transcript.whisperx[536].end 31153.046
transcript.whisperx[536].text 他同樣也是被警察講說怎麼不靠邊走呢可是我一樣要問的是那如何靠邊走就已經沒路可走啦那這些新聞不是特例因為現狀就是我們有很多的弱勢用路人行人跟我們的兒少跟身障者都被迫要與車爭道
transcript.whisperx[537].start 31154.352
transcript.whisperx[537].end 31179.068
transcript.whisperx[537].text 所以前一陣子大家在草圍最不祭典的時候我們的職業駕駛人工會都來跟我講說很多時候不是他們不想守法是道路環境太差了先他們也不育那交通路權團體跟我們的身障跟家長族群他們在抱怨也就是政府在放寬祭典制度的時候同時有沒有去考慮到我們交通環境的改善這些配套措施到底在哪邊
transcript.whisperx[538].start 31180.109
transcript.whisperx[538].end 31192.103
transcript.whisperx[538].text 那所以就想來問的是,院長這些道路環境的改善問題政府打算怎麼解決,然後要多久的時間,會投入多少的經費預算,有管考的制度嗎?
transcript.whisperx[539].start 31193.79
transcript.whisperx[539].end 31219.399
transcript.whisperx[539].text 謝謝委員如果委員提到剛剛所說的道路交通違規的罰款其中提撥12%作為交通安全跟這個交通安全跟執法的改善其中有一部分除了優先事項之外地方政府可以用在道路安全路面等等的改善工程那其他當然還要做很多包括這個周遭違規的取締等等這個都要在包括遠景各方面要努力的
transcript.whisperx[540].start 31220.794
transcript.whisperx[540].end 31232.244
transcript.whisperx[540].text 我想這一次我們行政院很用心的就是有這樣的一個政策就是我們現在大概四年四百億的確事實上想要去解決我們洗刷我們行人地獄的這樣子的一個惡名
transcript.whisperx[541].start 31233.254
transcript.whisperx[541].end 31255.628
transcript.whisperx[541].text 不過這四年四百億這個經費不是長期性的財源也不是穩定性的所以也沒有制度化的法源依據但我們就很擔心說這樣的計畫可能沒有辦法達到我們永續安全的一個目標所以這次會議用這個主題來質詢就是希望院長想透過這個樣的質詢來幫你找到我們的錢藏在哪裡
transcript.whisperx[542].start 31256.669
transcript.whisperx[542].end 31271.149
transcript.whisperx[542].text 交通部提供的一個圖表,我們的罰還收入總額年年增加。其中收到最多分配款項的是各地方政府。每一年大概有130億,六都大概10到20億。
transcript.whisperx[543].start 31272.671
transcript.whisperx[543].end 31290.043
transcript.whisperx[543].text ﹚議員
transcript.whisperx[544].start 31290.163
transcript.whisperx[544].end 31317.731
transcript.whisperx[544].text 院長如果是依照現行規定的話在國道上我們的違規的罰款收入有17%要運用在交通環境的改善那你認為多少的比例的罰款收入就像我們剛剛講給地方政府的多少的比例收入可以放在交通環境改善上比較合情合理這可能要現在看看他現在收來的款項在目前的比例分配之後他執行的狀況如何可以再做進一步的檢討
transcript.whisperx[545].start 31320.375
transcript.whisperx[545].end 31320.655
transcript.whisperx[545].text 議員發言人
transcript.whisperx[546].start 31340.672
transcript.whisperx[546].end 31368.074
transcript.whisperx[546].text 那現在但是未來我覺得有一個長久的裁員是非常好那其實除了這個罰款裁員之外還有另外一個可以考慮就是現在我們撥給六都都有棄燃費那棄燃費也是專管專用用在道路那如果這兩筆錢都能夠有一定比例是特別是對安全設施的改善我覺得可以讓提升這個部分根據我們的道路交通違規罰款的收入分配跟運用辦法的第三條
transcript.whisperx[547].start 31368.795
transcript.whisperx[547].end 31386.368
transcript.whisperx[547].text 本來就明定說我們各縣市的舉發的罰款收入有75%是進到縣市政府的金庫當中可是最特別的就是怎麼運用事實上沒人曉得也沒人過問所以我私底下去問某個縣市的交通局局長問他說你們這樣的經費怎麼用
transcript.whisperx[548].start 31387.449
transcript.whisperx[548].end 31415.23
transcript.whisperx[548].text ﹚議員﹚
transcript.whisperx[549].start 31415.578
transcript.whisperx[549].end 31432.97
transcript.whisperx[549].text 的確是要至少提拔百分之十二來作為交通執法跟我們的交通安全環境改善。不過可以看到基本上大概就只有四項是在講執法兩項是在講教育我們講交通安全三一的政策裡邊
transcript.whisperx[550].start 31433.806
transcript.whisperx[550].end 31448.472
transcript.whisperx[550].text 指法工程跟我們的教育可是這裡邊都沒有提到工程所以也想問兩位知不知道說在國外對於這類的交通罰還的收入到底會怎麼去運用
transcript.whisperx[551].start 31449.512
transcript.whisperx[551].end 31470.822
transcript.whisperx[551].text 那日本呢稱為反折金的那個違規的罰款呢他們基本上是按照我們的事故件數人口數跟改善道路的長度依比例來分配地方可是有要求專款專用用於我們的設施設置跟道路環境改善跟地方剛才在執行的說很彈性然後沒設限
transcript.whisperx[552].start 31471.983
transcript.whisperx[552].end 31472.463
transcript.whisperx[552].text 在這邊事實上是我們的
transcript.whisperx[553].start 31502.046
transcript.whisperx[553].end 31526.569
transcript.whisperx[553].text 道交處罰條例裡邊本來就有講說要有一定的比例來專款專用用在我們的改善道路交通所以想問部長這邊的一定比例的專款專用究竟是在實務執行上有哪一步細則辦法有明定說這一定的比例比例是多少而且要用在我們的改善道路交通
transcript.whisperx[554].start 31527.631
transcript.whisperx[554].end 31527.851
transcript.whisperx[554].text 司法部長
transcript.whisperx[555].start 31557.551
transcript.whisperx[555].end 31560.374
transcript.whisperx[555].text ﹚部長,因為我剛剛講齁,我們剛剛第三條講的是75%分配到我們的地方政府。
transcript.whisperx[556].start 31574.765
transcript.whisperx[556].end 31600.358
transcript.whisperx[556].text 這地方政府裡邊的88%我們是沒有管控的其中的12%如你剛剛講的的確他有講在改善環境可是重點是他的其中的6項優先項目是執法的配備跟教育完全沒有提到道路環境所以這就是我們擔心甚至可不可以也可以講說那88%可不可以明定道路環境的改善而不是讓各地方政府
transcript.whisperx[557].start 31600.698
transcript.whisperx[557].end 31600.718
transcript.whisperx[557].text 拜訪議員
transcript.whisperx[558].start 31622.27
transcript.whisperx[558].end 31646.161
transcript.whisperx[558].text 所以當然我們就很期待是不是可以這樣來做一個考量因為我知道是這個涉及的有牽扯到地方政府的權限但也不是說我們今天在這邊談了說了就算那所以為求謹慎的話如何去訂定地方政府專用於這種道路環境改善的比例的話
transcript.whisperx[559].start 31646.843
transcript.whisperx[559].end 31655.778
transcript.whisperx[559].text 需要中央跟地方一起來充分溝通所以是不是中央可以邀請地方政府來充分溝通或許可以參考一下
transcript.whisperx[560].start 31656.26
transcript.whisperx[560].end 31683.678
transcript.whisperx[560].text 我們剛剛提到的國道建設管理基金的比例明定17%至少你的88%裡邊可不可以定一些比例然後在12%裡邊也可以去考慮要求而不是道安的分數扣了就算所以最後就想讓我們的院長和部長在這邊有沒有機會可以承諾這個部分讓華環的收入設定的一定比例不過大家也要問
transcript.whisperx[561].start 31684.399
transcript.whisperx[561].end 31690.118
transcript.whisperx[561].text 你們心目中的那個比例到底是多少是不是運用在我們的道路環境當中
transcript.whisperx[562].start 31692.027
transcript.whisperx[562].end 31720.755
transcript.whisperx[562].text 謝謝委員的這個建議利益非常好但是我們現在要突破的是財政紀律法第7條政府的收入固定進入一個基金之後他無法專款專用的指定所以我們是不是從剛剛部長所說的在現在的比例之下對於這些優先之應的事項能夠做明確的規範讓他在交通安全的向下真的地方政府考量在裁員的時候優先之用在交通工程的改善
transcript.whisperx[563].start 31721.255
transcript.whisperx[563].end 31721.815
transcript.whisperx[563].text 謝謝林委員下一位我們請黃秀芳委員質詢
transcript.whisperx[564].start 31761.019
transcript.whisperx[564].end 31763.942
transcript.whisperx[564].text 謝謝主席,我們請院長請院長備詢方委員好
transcript.whisperx[565].start 31773.684
transcript.whisperx[565].end 31800.515
transcript.whisperx[565].text 院長好,我想說在今年3月份的時候我質詢陳建仁院長的時候我也特別提到彰化市的兩個重大的建設一個是彰化市的鐵路高架另外一個是台中捷運綠線延伸到彰化這兩個重大的交通建設那我想請教就是說其實這兩個重大的建設在地方甚至在中央也
transcript.whisperx[566].start 31801.496
transcript.whisperx[566].end 31825.029
transcript.whisperx[566].text 一直提到現在我從我當議員到現在也將近20年的時間那這20年的時間我看到從地方的規劃中央的規劃一直到現在彰化市的鐵路高架現在是目前是進入到綜合規劃在111年的時候行政院這邊通過這個可行性研究那到這個111年5月27號啟動綜合規劃的作業那到現在
transcript.whisperx[567].start 31831.252
transcript.whisperx[567].end 31854.304
transcript.whisperx[567].text 今年3月份的時候我這個質詢我們陳建仁院長的時候那時候有特別提到感覺好像從111年到現在完全都沒有什麼進度那我當時就有特別提到就是說是不是可以每三個月讓本席知道目前這兩個重大建設的進度到底如何那我收到在5月份的時候
transcript.whisperx[568].start 31854.984
transcript.whisperx[568].end 31877.179
transcript.whisperx[568].text 交通部這邊也有給我一個這個結論就是說目前在今年3月份的時候就是有召開一個這個協商會議那目前就是這個彰化鐵路高架的基地這個位置可能縣府彰化縣政府跟我們交通部這邊鐵道局可能這個位置
transcript.whisperx[569].start 31877.799
transcript.whisperx[569].end 31906.534
transcript.whisperx[569].text 大家是沒有一個共識那我想請教就是說院長跟部長是不是可以來協助讓這個彰化的這個重大建設能夠儘速來啟動那我知道就是說如果這個中央這邊沒有儘速來協助的話我可能可以預測可能經過四年之後可能都還停留在綜合規劃所以我是不是可以請院長或部長來回應一下
transcript.whisperx[570].start 31907.475
transcript.whisperx[570].end 31918.153
transcript.whisperx[570].text 委員所說花壇到二水這個高架段張化市的鐵路高架因為張化市的鐵路高架有一個非常重要就是有一個機務段需要遷移
transcript.whisperx[571].start 31918.704
transcript.whisperx[571].end 31946.09
transcript.whisperx[571].text 華潭那一段。就是這個鐵道局這邊是希望能夠牽到華潭或二水。那彰化縣政府是希望能夠牽到大渡。所以我們是希望就是當然這個縣府跟這個交通部這邊我們希望當然能夠有一個共識最好。那如果現在完全都沒有一個共識的話是不是我拜託院長這邊可以這邊介入來協助。
transcript.whisperx[572].start 31947.389
transcript.whisperx[572].end 31972.64
transcript.whisperx[572].text 交通部已經跟縣政府在協商請交通部報告到目前的進度呢?章化縣政府已經在今年的6月26有一個正式公文他們同意就是採用花壇跟二水結合的這個方案那原則上已經不堅持是把這個機場移到這個大渡區因為坦白說如果設在大渡那我們的主發站是在章化
transcript.whisperx[573].start 31973.28
transcript.whisperx[573].end 31993.998
transcript.whisperx[573].text 那他的車輛是有一點違背這個調度的原則,會從北邊要往南到彰化站,從大渡再調到彰化站,然後再從大渡站出發到這個樹林。所以這樣的調度方法是違背鐵路台鐵的這個一般的調度原則。所以他們台鐵還是期待是在二水跟花壇這邊來設相關的調度場。
transcript.whisperx[574].start 31996.019
transcript.whisperx[574].end 32016.551
transcript.whisperx[574].text 所以目前為止是縣政府這邊原則同意是在華潭跟二水那後續呢?後續就是要把這個中規在這個原則之下中規來做一個審核那中規如果核定就等於開始啟動設計跟發包的階段那預計還要多久?
transcript.whisperx[575].start 32017.458
transcript.whisperx[575].end 32021.24
transcript.whisperx[575].text 所以預計是在今年年底綜合規劃的部分可以完成。包括經過國化會的審議還有經過報院的核可。
transcript.whisperx[576].start 32042.405
transcript.whisperx[576].end 32057.887
transcript.whisperx[576].text 這是我們期待,部長我真的是期待你上任之後,因為你也是彰化人,所以真的這個對彰化是有一個很大的一個算是重大的建設,而且對彰化的發展真的是影響非常的大。所以你是彰化人,你也是會大人。
transcript.whisperx[577].start 32059.048
transcript.whisperx[577].end 32059.989
transcript.whisperx[577].text 另外一個臺中捷運綠線延伸到彰化呢?
transcript.whisperx[578].start 32085.882
transcript.whisperx[578].end 32113.741
transcript.whisperx[578].text 目前是有條件的通過可行性評估嘛對那後續的部分我是不是可以請這個縣府當然縣府也有一些他們就是說他們已經送這個張東的這個擴大都市計畫嘛那我想請教就是說未來這個可能也需要縣府跟這個交通部這邊一起來合作才有辦法競速來完成
transcript.whisperx[579].start 32114.915
transcript.whisperx[579].end 32141.22
transcript.whisperx[579].text 跟委員報告就是當時會先核定可行因為主要這個一直糾結在那裡就是因為張東都市計劃的內容縣府這邊一直都沒有辦法定案那也沒有辦法經過內政部的核准那時候就會到底是都市計劃要先定案還是捷運可行性要先核定那後來院裡面在政府院長的協調下先讓可行性先通過那但是有一個但書就是在中規之前
transcript.whisperx[580].start 32141.8
transcript.whisperx[580].end 32141.84
transcript.whisperx[580].text ﹚發言委員
transcript.whisperx[581].start 32170.128
transcript.whisperx[581].end 32185.691
transcript.whisperx[581].text 議員議員
transcript.whisperx[582].start 32186.091
transcript.whisperx[582].end 32212.626
transcript.whisperx[582].text 協助彰化縣政府能夠儘速把這個需要具備的這些比如說我們的都市計畫也好或者是可能一些資料能夠完備儘速讓這個臺中捷運綠線延伸到彰化能夠儘速來完成那不然其實這一段沒有這個如果資料沒辦法完成或者是都市計畫沒辦法完成的話其實也會影響到整個
transcript.whisperx[583].start 32213.646
transcript.whisperx[583].end 32227.85
transcript.whisperx[583].text 臺中捷運綠線延伸北延到大坑的這個整個期程可能也都會有延誤所以我們是不是可以拜託我們的這個院長針對這個延伸到彰化那是不是也要協助我們彰化縣政府這邊來競速來完成
transcript.whisperx[584].start 32230.815
transcript.whisperx[584].end 32256.358
transcript.whisperx[584].text 現在謝謝委員因為彰化縣政府要補送資料到內政部的都市審議委員會那都市審議委員會跟內政部會一起協助彰化縣政府來加速完成這樣的工作那我也請委員能夠幫忙跟彰化縣政府說盡量收集地方的意見之後到底要採取區段徵收或者什麼樣的選擇方式趕快來確定之後將他送到都委會來那內政部會加速來安排讓他找到定案
transcript.whisperx[585].start 32257.018
transcript.whisperx[585].end 32279.63
transcript.whisperx[585].text 我剛從下午聽了好幾位委員在講說整個不論是鐵路要地下化或者是高架其實我都覺得說我們彰化的這個鐵路高架已經講了將近20年到現在我從我第一屆當立委的時候幾乎只要是院長來備詢的我都會提到我們彰化的鐵路高架跟捷運綠線
transcript.whisperx[586].start 32280.951
transcript.whisperx[586].end 32297.424
transcript.whisperx[586].text 所以到現在我都覺得都還在這個綜合規劃當中真的蠻可惜的啦如果可以進速的話其實可以看到整個彰化的一個這個發展應該是會非常迅速因為彰化是六都以外人口最多的地方
transcript.whisperx[587].start 32298.304
transcript.whisperx[587].end 32321.038
transcript.whisperx[587].text 全縣有123萬人口,彰化也是中小企業非常多的一個地方,農業也非常的發達。所以我希望就是說,如果透過整個交通運輸網絡能夠更整密,然後更加的快速的話,其實對整個彰化的發展是有很大的一個幫助。所以我再次的拜託院長還有部長,
transcript.whisperx[588].start 32321.638
transcript.whisperx[588].end 32324.1
transcript.whisperx[588].text 我還要提到整個彰化車站旁邊還有一個扇形車庫。我不知道院長有沒有去過。
transcript.whisperx[589].start 32350.691
transcript.whisperx[589].end 32357.275
transcript.whisperx[589].text 我也是每一次這個新的院長在這邊備選的時候我一定要讓院長知道這個全台灣唯一一個扇形車庫也是亞洲唯二的一個扇形車庫那
transcript.whisperx[590].start 32369.622
transcript.whisperx[590].end 32370.543
transcript.whisperx[590].text ﹚三、7月5日下午1時50分為處理臨時提案時間。﹚
transcript.whisperx[591].start 32387.138
transcript.whisperx[591].end 32387.158
transcript.whisperx[591].text ﹚第11會議
transcript.whisperx[592].start 32403.307
transcript.whisperx[592].end 32415.759
transcript.whisperx[592].text 臺鐵公司已經承租3棟,他們要自行維修。那文資局這邊也有補助7000多萬,7836萬的這個經費。那很可惜7836萬就只能整修3棟,那全部有40幾棟欸。
transcript.whisperx[593].start 32426.11
transcript.whisperx[593].end 32432.445
transcript.whisperx[593].text 那我是不是可以請求我們院長可以比照我們北部有一個鐵道博物館
transcript.whisperx[594].start 32435.19
transcript.whisperx[594].end 32456.698
transcript.whisperx[594].text 這個院長你應該要想到就是說亞洲唯二的這個扇形車庫是多麼的珍貴又是國定古蹟那旁邊如果還有一個這個鐵路宿舍群如果可以整個全部整修起來其實就像我們這個嘉義的這個生活快意村一樣那可以吸引很多的
transcript.whisperx[595].start 32457.398
transcript.whisperx[595].end 32478.318
transcript.whisperx[595].text 不論是這個國際的遊客或者是我們臺灣這所有的民眾都可以來看到我們的這個國定古蹟善行車庫旁邊又有一個這個鐵路宿舍群我是不是可以這個麻煩院長回應一下未來這個地方是不是有可能成為我們的鐵道博物館的分館
transcript.whisperx[596].start 32479.554
transcript.whisperx[596].end 32502.277
transcript.whisperx[596].text 台北或是其他包括苗栗都有一些鐵路的博物館或園區的規劃我剛剛部長講或是我們去看一下這個扇形的車庫文資的保護已經是國定的古蹟了那政府當然有責任要去做更好的規劃除了保存之外能夠有適度的活用讓他跟民眾接近我們在現場看看能不能做什麼的協助
transcript.whisperx[597].start 32502.557
transcript.whisperx[597].end 32520.685
transcript.whisperx[597].text 是好那我是不是跟院長這邊約個時間我們實際到地方去看一下除了看扇形車庫之外我們也要去看旁邊的這個舊的鐵路宿舍群如果整個旁邊可以整個把它活絡起來其實一方面也可以帶動我們彰化的地方的觀光
transcript.whisperx[598].start 32521.425
transcript.whisperx[598].end 32541.152
transcript.whisperx[598].text 那又結合我們未來的鐵路高架化其實整個彰化的進步就是在這邊所以在這邊要再次的拜託院長真的針對我們彰化的重大建設這兩項真的要拜託院長真的關注一下能夠盡速讓這兩項的重大工程能夠盡速動工
transcript.whisperx[599].start 32542.432
transcript.whisperx[599].end 32562.549
transcript.whisperx[599].text 是,我想跟委員報告,善行車庫確實是彰化的一個寶貝,那也是國定古蹟是很多鐵道迷一定會去朝聖的地方,那也因為這樣所以鐵路高架遇到這個善行車庫就花了很多的困難要去克服,那也是因為這樣所以彰化的鐵路高架會比較複雜,
transcript.whisperx[600].start 32564.61
transcript.whisperx[600].end 32590.018
transcript.whisperx[600].text 因為為了讓善行車庫可以繼續運作還要多拉一條軌道那這個部分也都放在我們這次的整個規劃高價的規劃案那這個很早之前就有定下來就是說善行車庫他是要保留是要保留而且是活化的不是變成一個就是一個沒有在活用的一個地方他是還是繼續可以做他
transcript.whisperx[601].start 32590.638
transcript.whisperx[601].end 32594.981
transcript.whisperx[601].text 委員會也有特別去考察那也有針對我們這個幼兒專用車這個有去考察
transcript.whisperx[602].start 32619.639
transcript.whisperx[602].end 32646.062
transcript.whisperx[602].text 那在前陣子在彰化就有這個娃娃車車禍那小朋友就跑出車外那一個是跑出車外一個是這個顱骨嚴重的這個骨折所以我們希望就是說針對這個娃娃車的這個部分就是希望交通部這邊針對這一部分是不是你們要去看一下也要去這個找專家學者來研議
transcript.whisperx[603].start 32646.843
transcript.whisperx[603].end 32667.934
transcript.whisperx[603].text 好,針對我們現在說這個娃娃車,這個幼兒的專用車它是沒有安全帶的嘛,那有安全帶跟沒有安全帶它的差別,我們現在坐車一定要用安全帶,可是我們的這個幼兒專用車反而是沒有,那這樣子的話會不會造成,如果萬一碰撞的時候,這個我們的幼童它是拋出車外,
transcript.whisperx[604].start 32669.054
transcript.whisperx[604].end 32669.234
transcript.whisperx[604].text ﹚主席
transcript.whisperx[605].start 32702.313
transcript.whisperx[605].end 32707.659
transcript.whisperx[605].text 好,謝謝黃委員。謝謝院長。下一位我們請許富奎委員質詢。
transcript.whisperx[606].start 32728.719
transcript.whisperx[606].end 32732
transcript.whisperx[606].text 謝謝主席。有請我們左院長。請左院長備詢。徐委員好。院長午安。辛苦。院長我想我來自我們的國進之南的屏東。目前在我們所有的區域立委裡面
transcript.whisperx[607].start 32755.336
transcript.whisperx[607].end 32771.675
transcript.whisperx[607].text 我的選區是最圓服務院也是最遼闊的啦所以針對我們這個屏東的這個交通問題今天要特別來請教請部長跟院長來特別來幫忙我想爭取交通平選一向是我們屏東人的一個心願
transcript.whisperx[608].start 32772.836
transcript.whisperx[608].end 32800.865
transcript.whisperx[608].text 未來更是我們在發展經濟跟所謂達到我們賴總統一個區域均衡發展一個很重要的關鍵所以今天希望院長能夠幫屏東人圓夢能夠幫我們來落實這個交通平權的這個議題那我想首先要請教院長關於我們高鐵的部分那2019年我們蘇貞昌前院長正式宣布高鐵南沿屏東那在陳建仁前院長的任內
transcript.whisperx[609].start 32801.305
transcript.whisperx[609].end 32801.585
transcript.whisperx[609].text 請院長答覆。
transcript.whisperx[610].start 32830.511
transcript.whisperx[610].end 32858.03
transcript.whisperx[610].text 謝謝委員高鐵南北的延伸現在是行政院國家重要的建設之一那其中南部的延伸到屏東從過去到現在一直跟委員所提到有幾條的路廊包括最北邊的到最南邊的那現在最近的這個原則上的決定會採取這個高屏二塊就是左營這個方向這個方案來做未來的路線的規劃但是還是要再跟地方多多的溝通
transcript.whisperx[611].start 32858.47
transcript.whisperx[611].end 32882.035
transcript.whisperx[611].text 包括縣政府跟各級民意代表跟地方的人事溝通怎麼樣能夠達到最高的效益這個方案的走向會有怎麼樣到現在可以看得到工程上的困難有沒有有沒有辦法克服它那現在但是原則上是走這個路線在規劃那因為我有跟幾位高雄市的委員在討論這個議題包括跟我們部長也有一直在討論但是因為現在
transcript.whisperx[612].start 32883.205
transcript.whisperx[612].end 32910.394
transcript.whisperx[612].text 綠狼的決定會影響到所謂的高頻兩個縣市的一些問題存在嗎?那未來我們怎麼去克服這些的一些問題存在?細節部長再答覆,我們曾經討論過了目前那天之前有宣布的這個高頻二塊的綠狼那目前還有一些技術上的一些問題正在評估跟要設法去克服比如說包括
transcript.whisperx[613].start 32910.794
transcript.whisperx[613].end 32910.814
transcript.whisperx[613].text ﹚議員發言
transcript.whisperx[614].start 32929.488
transcript.whisperx[614].end 32944.27
transcript.whisperx[614].text 院長我想是這樣子因為我們目前我們的高鐵的機場是設在燕巢那我們的行走員是有一個轉運的一個功能存在但是因為我們會被高鐵這個這兩個點的一個包含車體車站
transcript.whisperx[615].start 32945.452
transcript.whisperx[615].end 32965.401
transcript.whisperx[615].text
transcript.whisperx[616].start 32966.056
transcript.whisperx[616].end 32984.87
transcript.whisperx[616].text 院長方案也曾經是在構想的方案當中經過多次的考慮跟討論那現在進一步原則上是剛剛說的比較朝左引方案就是剛剛高屏二塊的方式那院長因為比較偏北邊他沒有進到大家比較密集的地方去所以這個考量過去曾經討論過
transcript.whisperx[617].start 32988.277
transcript.whisperx[617].end 33012.402
transcript.whisperx[617].text 顏早在技術上他有一些工程技術上有困難因為他那一代的橋樑是減支樑減支樑的方式所以他沒有辦法去承受側向力如果從顏早那邊要從既有的主線插一條支線那既有的橋樑那一段全部要打掉重做那第二個就是如果從顏早岔出來到屏東高雄會變成支線
transcript.whisperx[618].start 33014.802
transcript.whisperx[618].end 33035.333
transcript.whisperx[618].text 以後屏東會變主線那高雄人如果要去假設未來延伸屏東又延伸到台東潮州跟台東之後比如說高雄人要往台東去搭他要先搭到台北台南然後再從台南再搭到屏東這個整個程序上我想會有很大的困擾跟這個執行上的一個問題
transcript.whisperx[619].start 33037.074
transcript.whisperx[619].end 33064.805
transcript.whisperx[619].text 這點還是要特別再拜託院長我記得我第一次到立法院來總執行就是針對這個高鐵的議題來提出那當時我們的陳前院長跟我們的王前部長都有允諾是在2029年要完成通車目標可是到目前為止連路廊都還沒有確定我看這個我們實在是很痛苦尤其我像我每天早上要來立法院開會我必須要搭五點多的五點多要出門搭第一班的高鐵
transcript.whisperx[620].start 33066.206
transcript.whisperx[620].end 33087.343
transcript.whisperx[620].text 我們很多鄉親、包括我們的公務同仁、這些人都在問我們,立委到底我們的高鐵當時會不會來。我想大家真的是對這個高鐵當年是我們真的最深的一個期待。請部長跟院長我們真的盡快來把這個定案,然後在部長的任內能不能讓他有機會來動工。這個我們一起來努力好不好。
transcript.whisperx[621].start 33088.844
transcript.whisperx[621].end 33093.528
transcript.whisperx[621].text 平南快速道路是恆春半島鄉親共和一條救命的道路。4月9日陳前院長正式宣布可行性平坡通過。
transcript.whisperx[622].start 33105.359
transcript.whisperx[622].end 33129.395
transcript.whisperx[622].text 那我5月9日我也在立法院正式開了一個協調會那也把我們相關的我們的交通部的相關單位都找來那我們希望能夠加快一個時程那目前之前協調的進度是跟我講說7月的部分這個月要進行一個綜合規劃的發包然後跟著環評一起做那請教部長目前的進度是不是照這樣在進行當中
transcript.whisperx[623].start 33129.975
transcript.whisperx[623].end 33146.966
transcript.whisperx[623].text 是目前正在辦理中規跟環評那預計在今年的11月會提出第一份的這個中規的起初報告跟環評那後面就會進行環評的一些程序那路郎都已經確定那現在我想這個
transcript.whisperx[624].start 33148.648
transcript.whisperx[624].end 33148.668
transcript.whisperx[624].text 議員講解
transcript.whisperx[625].start 33178.611
transcript.whisperx[625].end 33186.186
transcript.whisperx[625].text 施政院院長也有協調說能夠加快施政但是怎麼最近又聽到說等到120年才可以動工有這個訊息嗎?
transcript.whisperx[626].start 33188.184
transcript.whisperx[626].end 33212.583
transcript.whisperx[626].text 我們目前預估因為中規完成中規要合定之前一定要通過二階環評那這個二階環評一般都要兩年半左右的時間因為他至少要有一年四季的這個環境調查就是新的快速道路都要做二階環評所以目前預估大概整個動工要大概在119年之後
transcript.whisperx[627].start 33214.024
transcript.whisperx[627].end 33235.569
transcript.whisperx[627].text 來動工。那1、2、6年左右來完工這樣子。目前這些時間不用拖太久了。現在113年而已還要花6年的時間。我們來設法看怎麼樣包括中規跟環評。是不是我們可以建議說我們建議來分段施工尤其現在是從尤其封港到放寮這一段就是我們回過來。
transcript.whisperx[628].start 33237.089
transcript.whisperx[628].end 33238.53
transcript.whisperx[628].text 第三個部分再請教院長
transcript.whisperx[629].start 33265.1
transcript.whisperx[629].end 33289.685
transcript.whisperx[629].text 高潔來到屏東也是我們很多鄉親的一個期待那目前高潔紅線南沿到我們的屏東的東港跟林邊預計我們9月底可以將可行性評估送到這個中央來核定那但是因為前陣子有遇到所謂一個高價化跟地下化的一個討論那請教院長跟部長那目前最近的進度是到哪裡
transcript.whisperx[630].start 33290.452
transcript.whisperx[630].end 33291.393
transcript.whisperx[630].text 高雄這一統也是高價嗎?
transcript.whisperx[631].start 33306.383
transcript.whisperx[631].end 33325.332
transcript.whisperx[631].text 高雄它從小港延伸到林園小港延伸林園地下可是它到了林園最後這一段是上來的所以高雄本身的紅線就是高架所以我們延伸屏東也是用高架來接而且是在同一個站來轉乘
transcript.whisperx[632].start 33327.233
transcript.whisperx[632].end 33353.764
transcript.whisperx[632].text 那因為現在我們的鄉親之前還是一直期待所謂的一車到底這個部分那當然現在有考慮到我們的運量的一個不一樣的那目前我們有沒有做進一步的調整還是現在就都還是高價接高價就是屏東到臨遠這邊是高價跟臨遠這邊紅線的高價銜接那但是我們的是用輕軌的運量因為事實上這種那是同一個外台跟外車過來沒有
transcript.whisperx[633].start 33356.405
transcript.whisperx[633].end 33357.105
transcript.whisperx[633].text ﹚三、7月5日下午1時50分為處理臨時提案時間
transcript.whisperx[634].start 33377.415
transcript.whisperx[634].end 33381.538
transcript.whisperx[634].text 時間的部分可能就是目前如果最近能夠核定可行性那後續就是還有環評等等這個階段我們來設法怎麼樣來加速這樣
transcript.whisperx[635].start 33406.401
transcript.whisperx[635].end 33406.621
transcript.whisperx[635].text 是的,好
transcript.whisperx[636].start 33433.188
transcript.whisperx[636].end 33449.249
transcript.whisperx[636].text 那另外剛剛我們有幾位委員也特別提到了所謂的一個鐵路高架化的一個部分那最早的時候我在4月份我們辦了交通委員會的考察那目前我們有針對訪寮車站大平台因為這個大平台的有兩個評價到
transcript.whisperx[637].start 33451.118
transcript.whisperx[637].end 33474.838
transcript.whisperx[637].text
transcript.whisperx[638].start 33474.838
transcript.whisperx[638].end 33496.869
transcript.whisperx[638].text ﹚議員
transcript.whisperx[639].start 33497.814
transcript.whisperx[639].end 33519.986
transcript.whisperx[639].text 市長做什麼的規劃?這個部分我可能還要再進一步了解不過確實潮州發車會造成那一帶的平交道這個起降的這個柵欄起降的頻繁交通上的不便那我是不是再進一步了解我再跟委員做報告也發生了很多起交通事故啦確實今天老人家經過的時候真的都會不小心就會有發生事故
transcript.whisperx[640].start 33524.588
transcript.whisperx[640].end 33541.585
transcript.whisperx[640].text 平東之前已經完成一段這個就是從平東到潮州的這個高架也增設了好幾個但是就差這最後一里路這個是最後最後一里路啦這個要拜託院長跟部長再幫忙一下這個我們在現刊來做了解那再跟委員再把結果跟委員報告謝謝
transcript.whisperx[641].start 33543.252
transcript.whisperx[641].end 33565.324
transcript.whisperx[641].text 那我想剩下最後一個時間要特別再跟請院長這邊幫忙那我想我們秀了幾張我們的圖片我想我們現在進入老年化的一個社會那從屏東縣政府我們也積極推動所謂一個關懷據點的一個設備那讓這些老人家我們平常可以來這邊
transcript.whisperx[642].start 33565.964
transcript.whisperx[642].end 33589.309
transcript.whisperx[642].text 議員﹚
transcript.whisperx[643].start 33589.729
transcript.whisperx[643].end 33607.421
transcript.whisperx[643].text 三百二十八處的社區公園據點有兩百二十二處是公有空間一百零六處是私有空間那沒有合適的一個廚房的環境一共有一百七十二處那缺乏無障礙的廁所也有七十九處那所以就是我們有超過八成的據點
transcript.whisperx[644].start 33608.302
transcript.whisperx[644].end 33636.766
transcript.whisperx[644].text 議員議員
transcript.whisperx[645].start 33637.438
transcript.whisperx[645].end 33641.563
transcript.whisperx[645].text 平東關懷據點的軟硬體建設給予更多的挹注、給予更多的協助,這點請院長來答覆。
transcript.whisperx[646].start 33665.412
transcript.whisperx[646].end 33670.032
transcript.whisperx[646].text 主席
transcript.whisperx[647].start 33687.11
transcript.whisperx[647].end 33690.412
transcript.whisperx[647].text 好,謝謝徐議員、謝謝院長。400萬是真的不夠啦。好,現在我們請許智傑委員質詢。
transcript.whisperx[648].start 33718.264
transcript.whisperx[648].end 33734.312
transcript.whisperx[648].text 主席各位先請大家那個院長站很久了先坐著聽等一下我可能還是有問題再請院長一起回答那我們先請那個數位發展部數位發展部的部長黃部長委員好部長那個
transcript.whisperx[649].start 33746.963
transcript.whisperx[649].end 33760.275
transcript.whisperx[649].text 黃仁勳說臺灣是世界AI的起點。黃崇仁說臺灣是世界AI的首都。部長有沒有信心?
transcript.whisperx[650].start 33763.298
transcript.whisperx[650].end 33790.144
transcript.whisperx[650].text 謝謝那個黃仁勳這些不是有沒有信心完成信心當然可以啊臺灣有很好的基礎建設包括我想要跟部長這邊報告一下也希望說部長可以著手來進行了就是全世界像黃仁勳他們超級電腦的GPU CPU TPU等等的台積電大概就有做了90幾趴全世界的90幾趴
transcript.whisperx[651].start 33792.429
transcript.whisperx[651].end 33818.029
transcript.whisperx[651].text 總體電腦的面板呢,全世界臺灣就做了八十幾趴。所以這個在AI方面,臺灣的條件可以算是世界上最好的。那我們的現在的海嵐站,部長可以看一下,院長不知道能不能看得到。我們的海嵐站呢,事實上現在就是分區各地啦。啊這裏就像小組那邊是買頭,啊那些就是我小買頭。
transcript.whisperx[652].start 33819.773
transcript.whisperx[652].end 33844.05
transcript.whisperx[652].text 但是你如果沒有一個大的港口容納各個大船或者是各式各樣的船這樣子一個格局可能不夠所以台灣需要有個數位港口我們高雄是海港是空港如果高雄可以再加上數位港我們用現有的條件來把所有的海欄站把他所有的全世界的資訊集中
transcript.whisperx[653].start 33845.834
transcript.whisperx[653].end 33867.764
transcript.whisperx[653].text 所以呢我是希望說我們數位部裡面也有任性發展師要如何增加我們全臺灣的數位的任性要如何讓我們臺灣變成世界的AI的首都那這個地方事實上高雄是一個相當適當的地方現在台積電進駐高雄
transcript.whisperx[654].start 33869.773
transcript.whisperx[654].end 33898.762
transcript.whisperx[654].text 黃仁勳回答跟鴻海進駐高雄那我高雄有很多很好的條件所以我們來創造一個數位港口部長這個有沒有信心那個報告委員我覺得這個您的idea很好但高雄剛剛講就是除了我們剛剛講有我再跟部長報告一下就是說我們高雄事實上在這個高雄港附近事實上我們找一個海嵐站那海嵐站上來之後呢
transcript.whisperx[655].start 33899.505
transcript.whisperx[655].end 33923.527
transcript.whisperx[655].text 其實所有的就像飛機場跟海港一樣他船進進出出飛機進進出出其實還不夠有商業的性質所以他除了海欄站之外呢他希望再做一個交流中心就類似樞紐中心那全世界樞紐中心也在亞洲現在是香港跟新加坡比較強但是香港很快就會沒落新加坡要竄起
transcript.whisperx[656].start 33925.15
transcript.whisperx[656].end 33949.119
transcript.whisperx[656].text 這時候我們台灣的位置是世界上整個太平洋島鏈最好的位置所以這個亞洲數位輸入中心定義在高雄我相信我們有這個能力來完成而且我剛提到的不管是台積電不管是晶片不管是GPU不管是面板台灣這些都是全世界最強的所以我們絕對有能力超越新加坡所以我們要把台灣
transcript.whisperx[657].start 33950.087
transcript.whisperx[657].end 33952.449
transcript.whisperx[657].text 拜託我們台灣幫他行銷連接到世界。
transcript.whisperx[658].start 33978.03
transcript.whisperx[658].end 33978.07
transcript.whisperx[658].text 李部長請備詢
transcript.whisperx[659].start 34010.772
transcript.whisperx[659].end 34030.989
transcript.whisperx[659].text 部長好,剛才講到數位港,事實上亞洲新灣區在這幾年來進步很多。港澳公司也成立旅運中心,旅運中心現在全世界的國際郵輪,台灣國際郵輪在什麼時候最興盛,不知道部長知不知道?其實我們郵輪做得最好的就在疫情那幾年。
transcript.whisperx[660].start 34032.385
transcript.whisperx[660].end 34052.532
transcript.whisperx[660].text 為什麼疫情那幾年會做最好?因為我們一般的旅遊是Outbound的,坐郵輪Outbound的會比Inbound的多。但是那幾年因為是疫情所以不能出去。所以那時候有很多我們的跳島旅遊。那我也曾經提過就是以郵輪的跳島旅遊台澎金馬,這是一個很好的選擇。
transcript.whisperx[661].start 34053.578
transcript.whisperx[661].end 34063.085
transcript.whisperx[661].text 台灣人很多人沒有到過金馬很多人沒有到過馬祖那你如果台風金馬可以用一個郵輪來一個跳島旅遊的話事實上我們本身就有國內的市場
transcript.whisperx[662].start 34064.84
transcript.whisperx[662].end 34090.061
transcript.whisperx[662].text 另外就是說你看基隆港跟高雄港的出入事實上差很多。你看那個土也有就是從基隆出發的到那霸到日本長崎等等的。然後從高雄出發有到宮古島那霸等等。那這些都是國際旅遊的動線。那我希望說就是交通部跟港澳公司跟航港局可以重視一下這個郵輪的旅遊。我們看下一張。
transcript.whisperx[663].start 34091.209
transcript.whisperx[663].end 34115.117
transcript.whisperx[663].text 現在就是迪士尼他冒險後以新加坡當作母港規劃4到7天的亞洲旅遊事實上類似這樣子的概念之前我們有高雄跟香港雙母港不知道部長知不知道現在又停了因為香港現在其實他就是會decade所以我們對香港當然就是說我們可以考慮就是高雄跟新加坡定為新的雙母港
transcript.whisperx[664].start 34116.104
transcript.whisperx[664].end 34116.805
transcript.whisperx[664].text 另外還有一個好玩卡。
transcript.whisperx[665].start 34141.605
transcript.whisperx[665].end 34170.059
transcript.whisperx[665].text 部長可能沒有玩過好玩卡沒有買過,院長可能也沒有買過好玩卡院長可能也不知道什麼叫好玩卡在日本大阪呢實際上他一張好玩卡兩天的行程可以玩了四五十個景點只花不到一千塊台幣所以年輕人是這麼玩的年輕人他坐飛機到日本花了差不多一萬多塊兩萬塊的那個旅費然後住宿費一天兩千玩個四天
transcript.whisperx[666].start 34171.457
transcript.whisperx[666].end 34177.128
transcript.whisperx[666].text 四千塊買個好玩卡買個兩次他就可以花兩萬塊他就可以在日本玩得很高興
transcript.whisperx[667].start 34178.4
transcript.whisperx[667].end 34207.523
transcript.whisperx[667].text 台灣這個好玩卡公關局公關署有在做但是做得還不夠我們高雄市政府現在是算是做得最好的但是也還不夠我們希望說它除了交通的連結之外還能夠連結各個不同的景點把它串聯成好玩卡這樣子才能夠推動觀光我想台灣未來其實就是兩個大的概念高科技產業國跟觀光文化國那包括我們高雄也一樣我們高雄除了AI手資之外我這個Tech高雄是有它的意義的
transcript.whisperx[668].start 34208.143
transcript.whisperx[668].end 34226.203
transcript.whisperx[668].text TECH不只是科技的TECH,T是Technology,E可以是Economy,C是Charming,H是Happy,叫做科技經濟魅力花卉。科技產業國、科技城市帶動城市經濟的發展、國家經濟的發展。魅力當然你是有魅力何勝那麼快要來。
transcript.whisperx[669].start 34229.026
transcript.whisperx[669].end 34251.351
transcript.whisperx[669].text 所以其實就是包括觀光經濟、商圈經濟等等的這些庶民經濟可以藉由魅力跟觀光來推動經濟的成長。那也像高科技人才跟一般的人民都有工作可以做。所以科技、經濟、魅力、華麗我想這個方向尤其是交通部觀光是你們最重要的工作。所以郵輪這個希望說能夠再規劃。
transcript.whisperx[670].start 34253.992
transcript.whisperx[670].end 34256.475
transcript.whisperx[670].text 台灣PASS的重點是交通的連結,但是台灣PASS沒有景點的連結。
transcript.whisperx[671].start 34277.972
transcript.whisperx[671].end 34301.429
transcript.whisperx[671].text 所以台灣PASS這個部分還可以再加強我講的是這個沒有錯那部長就是就台灣PASS再去怎麼樣去增加他的跟景點的連接這樣子的概念好不好這個部長不錯部長很有進度狀況那再來就是剛才那個徐議員也有提到的高鐵藍眼高鐵藍眼從其實我一直覺得從左營直接連接到屏東我會覺得有點痛
transcript.whisperx[672].start 34303.427
transcript.whisperx[672].end 34319.978
transcript.whisperx[672].text 以前在毛澤國當交通部長,吳篤立當高雄市長的時候就是眼光不夠,說錢沒夠,所以沒辦法唸到高雄,沒辦法唸到紅山。臺北高鐵有三個核心,臺北車站、板橋車站、南港車站,高雄只有一個核心。
transcript.whisperx[673].start 34321.05
transcript.whisperx[673].end 34335.283
transcript.whisperx[673].text 左營車站。事實上你以50年後來思考整個高雄的發展可能會偏重一方。那南高雄的發展可能會受到阻礙。尤其現在亞洲新灣區其實陳局市長任內把亞洲新灣區做得很漂亮。
transcript.whisperx[674].start 34336.335
transcript.whisperx[674].end 34362.057
transcript.whisperx[674].text 陳其邁市長任內我們再次亞洲氣溫區的提升還有包括所有的高科技產業的進駐為了這裡是個重鎮如果有高鐵來事實上會更好所以我也希望說交通部可以好好的考慮一下就是高鐵三個核心在我們南台灣在我們高雄也可能有高雄高作營高雄跟鳳山三個核心也希望說部長可以做一下思考
transcript.whisperx[675].start 34363.407
transcript.whisperx[675].end 34378.527
transcript.whisperx[675].text 那另外高鐵、台鐵、輕軌這三個都是交通動脈那當然就是輕軌也謝謝交通部跟行政院很幫忙我們這一陣子期賣市場一直在喊事先啟發包括剛剛徐委員提到可不可以接到屏東
transcript.whisperx[676].start 34379.248
transcript.whisperx[676].end 34379.408
transcript.whisperx[676].text ﹚發言委員﹚
transcript.whisperx[677].start 34395.712
transcript.whisperx[677].end 34420.661
transcript.whisperx[677].text 另外一個就是我們的鐵路地下化跟那個立體化之外,就是說在台鐵車站之前我跟那個劉思煌委員還有李博裕當時還是議員的時候我們都有去開過會,也就是說除了高鐵之外攔指擺木打是一個很大的困擾。我也知道交通部現在叫做評估,也就是說交通部除了攔指擺木打這邊的整體評估之外,台積電那個地方可以設一個台鐵站。
transcript.whisperx[678].start 34422.414
transcript.whisperx[678].end 34439.227
transcript.whisperx[678].text 因為你看這個圖這個從捷運你將來如果說沒有台鐵站到台積電的未來到了捷運再轉站一樣會非常的擁擠所以你在那個台鐵這裡就是那個梅花國道旁邊那一條是鐵道鐵道旁邊那個是男子產業園區那邊是台積電那邊做一個台鐵站將來可能從
transcript.whisperx[679].start 34443.237
transcript.whisperx[679].end 34444.137
transcript.whisperx[679].text 另外停車問題我現在
transcript.whisperx[680].start 34468.131
transcript.whisperx[680].end 34487.058
transcript.whisperx[680].text 這個其實,停全國的前瞻計畫已經用完了,這260億已經用完了。但是停車問題事實上,它會有關於行人友善空間的思考,它還會建立有些違規停車的思考。那這個停車場的辟建是非常的重要,全國很多重要的城市都有這個需要。
transcript.whisperx[681].start 34487.478
transcript.whisperx[681].end 34513.893
transcript.whisperx[681].text 那我知道交通部現在已經沒錢了是不是請行政院也可以盡量在這一部分再規劃一點經費讓全國高雄市包括我們鳳山我鳳山車站事實上車站蓋好了將來有正式營運的時候可能不夠所以呢我們也有很多我們鳳山車站吳甲國宅吳甲龍城宮等等的有很多地方這只是一個例子我想整個全國有很多這樣子重要的點都需要再規劃停車的空間這個希望說可以再規劃
transcript.whisperx[682].start 34515.732
transcript.whisperx[682].end 34527.733
transcript.whisperx[682].text 最後一個就是我們的機場,機場事實上,高雄機場我覺得一直有提升的空間。我們的松山機場,你可以看這個圖是松山機場二樓,那我們高雄機場的二樓是辦公室。
transcript.whisperx[683].start 34528.527
transcript.whisperx[683].end 34555.314
transcript.whisperx[683].text 我們高雄機場沒有那種迎賓的或者是十一住行的一個好的場域的概念就純粹只是交通那其他這部分必須要一起規劃所以我們希望說機場那包括現在高雄機場的改建這個其實速度太慢了你可以看清邁清邁他明年動工2028啟用我們現在高雄機場穿著衣服改衣服半班施工要16年
transcript.whisperx[684].start 34556.237
transcript.whisperx[684].end 34556.377
transcript.whisperx[684].text 我可以說機場的問題嗎?
transcript.whisperx[685].start 34579.424
transcript.whisperx[685].end 34605.116
transcript.whisperx[685].text 先從第一個那個數位港口很重要剛剛黃部長已經說過了已經有這樣的想法我們看看他細部的規劃進程如何那那個高鐵高鐵現在我們剛剛提過他現在是朝向這個左營的方案在進行但是他要跟地方多多的溝通有機會到我們高雄三核心
transcript.whisperx[686].start 34607.638
transcript.whisperx[686].end 34609.32
transcript.whisperx[686].text 香港機場的改善跟停車空間這個
transcript.whisperx[687].start 34632.123
transcript.whisperx[687].end 34633.504
transcript.whisperx[687].text 謝謝許委員下一位我們請魯明哲委員質詢
transcript.whisperx[688].start 34682.69
transcript.whisperx[688].end 34688.094
transcript.whisperx[688].text 好,謝謝副院長。有請我們卓院長。交通部李部長。
transcript.whisperx[689].start 34694.642
transcript.whisperx[689].end 34716.741
transcript.whisperx[689].text 院長第一次在這個總質詢相會。謝謝盧委員,謝謝你。盧委員好。那我會特別看到您的經歷其實讓我蠻佩服的。我們都知道這個我們高爾夫球網球網球有大滿貫。我也特別有注意到你在民進黨府院黨的秘書長這個要職上面你可以講說是府院黨大滿貫秘書長。
transcript.whisperx[690].start 34719.545
transcript.whisperx[690].end 34747.966
transcript.whisperx[690].text 但是我是對你比較,因為我覺得這是一個蠻好的歷練,但是我是真的希望你不是一黨的大師兄。今天能夠把你這些能夠做秘書長、善於協調、溝通、解決問題的能力,如果帶到國政,帶到建設、重大建設的一個問題的解決的話,我也相信你把這個經理帶過來,你可以做一個很好的行政院院長。你有沒有心情啊?我願意非常的努力。
transcript.whisperx[691].start 34748.68
transcript.whisperx[691].end 34753.484
transcript.whisperx[691].text 好 那首先第一個齁 問題我特別注意 每6月8號
transcript.whisperx[692].start 34770.539
transcript.whisperx[692].end 34797.744
transcript.whisperx[692].text 在連假的第一天來到了我們行控中心嘛,好,高速公路,特別來關心大家一個交通路問題啊,特別謝謝你。因為你正好談的這一段話,跟我們整個桃園鄉親,甚至桃竹苗鄉親啊,交通上面那個痛,你那天把它講出來了。我也特別注意到,就在這兩個月,4月15號,我們前院長,陳建仁院長,也去視察我們所謂的過去舞陽高架南延,
transcript.whisperx[693].start 34798.564
transcript.whisperx[693].end 34798.584
transcript.whisperx[693].text 委員會長
transcript.whisperx[694].start 34816.249
transcript.whisperx[694].end 34837.782
transcript.whisperx[694].text 那這個部分我想院長部長你們就回來討論有沒有什麼樣的一個方向可不可能縮短因為我們在4月15號聽到我們當時交通部的報告是預計115年開工然後121年完工那我們要先縮短到底有沒有一個目標方向還要怎麼努力來說一下好嗎
transcript.whisperx[695].start 34838.541
transcript.whisperx[695].end 34861.463
transcript.whisperx[695].text 好謝謝委員那天是看到背後的monitor那一段路一直是車輛源源不斷在塞住那也跟我們每個人經過那一段的感覺是一樣的所以當場是希望說如果我們能夠有更進一步的規劃騎乘能夠早一天做完這個工程的話那對這個路段的改善絕對是有幫忙的那回來我想交通部有在進行相關的評估
transcript.whisperx[696].start 34862.523
transcript.whisperx[696].end 34887.52
transcript.whisperx[696].text 部長我直接來說一下有一個真的能夠可以縮短一下好不好我看到很多工程招標一兩年你這一個跟院長你們好好溝通一下不要每一個工程一定標個一兩年之後好不好我們再加一點這樣的工程主要在延誤我覺得沒有意義到最後搞不好要加的錢更多好不好部長你的看法如何
transcript.whisperx[697].start 34888.18
transcript.whisperx[697].end 34912.852
transcript.whisperx[697].text 是,我想怎麼樣核實的去計算公料,核實編列預算,讓它可以順利的招標,這個我們來努力。那它是今年4月就開始啟動設計,那預計11、11、4年底來辦理招標的階段。那我們來核實編列這個預算。那但是騎乘上整個通車,因為有一個最困難的段就是在湖口,它是要做隧道段。
transcript.whisperx[698].start 34913.812
transcript.whisperx[698].end 34940.238
transcript.whisperx[698].text 那邊有一個隧道因為避開相關的那個所以在能節省的時間如果不節省的話未來都是很多的意外的狀況啊所以我是當天有聽到我們這個我們的院長這樣的說我們是希望能夠順著把大家跨部會召集起來大家拼嘛你省三個月我省五個月大家省起來遇到一些狀況的時候好處理好那我今天要談的是其實我們這個高價持續做到
transcript.whisperx[699].start 34941.961
transcript.whisperx[699].end 34948.177
transcript.whisperx[699].text 這個過新竹到苗栗這個非常非常重要也非常需要那這個剛剛需求大家都理解了可是啊
transcript.whisperx[700].start 34949.332
transcript.whisperx[700].end 34976.892
transcript.whisperx[700].text 南來北往南來北往之後我們發覺我們在高架上面在過去舞陽高架其實主要的功能是避開林口跟我們桃園的堵車啦就都都不給你上架那功能就是這樣的對不對當然對但是我們現在在這個桃竹苗你們這段拓寬因為桃竹苗本身就一個生活圈桃竹苗很多的一個功能要整合在我們行政院的計畫有很多要整合
transcript.whisperx[701].start 34977.472
transcript.whisperx[701].end 34997.046
transcript.whisperx[701].text 那這一條我覺得一個在我們現在桃園南區最重要從高架的出口交流道是什麼?部長你知道嗎?從高架可以直接下來的,不用從新屋轉到國一平面再出去跟著原有的車流在那邊騎,是哪個交流道你知道嗎?
transcript.whisperx[702].start 34999.634
transcript.whisperx[702].end 35000.935
transcript.whisperx[702].text 中峰交流道2020年3月份開始質詢
transcript.whisperx[703].start 35019.062
transcript.whisperx[703].end 35047.293
transcript.whisperx[703].text 中風交流到那時候南向北向都還沒有做所以我要特別謝謝啦我們事實上交通部也努力了也發包了那只是針對於北向北向就是北邊的車台北車要從中壢下OK我們中壢的車要從這個平面直接上到高架也OK這個部分算是非常非常方便但是因為當時我們本來這個規劃就是全向南
transcript.whisperx[704].start 35048.633
transcript.whisperx[704].end 35072.479
transcript.whisperx[704].text 南邊的連結北邊連結都需要所以這個部分我要先請教一下那這個交流道我看我不要再問這個目前預計是115年的大概年初年初就很快就明年後年年初我們至少北邊的連結你們的幫忙在地方從高價直接可以下來的部分會有成果
transcript.whisperx[705].start 35073.419
transcript.whisperx[705].end 35096.639
transcript.whisperx[705].text 那我想南向的這個部分要怎麼辦?那我想請跟院長再說一下,因為這是我四年半之前的板子,現在不再拿來了。那我是帶著我們整個桃園南區,包括里長,包括議長,真的很希望我們的中峰交流道能夠全面來做,但是當時你們看到右邊的公文嗎?
transcript.whisperx[706].start 35097.78
transcript.whisperx[706].end 35118
transcript.whisperx[706].text 右邊的公文是寫的這個行政院的公文,蘇院長的公文他說第二期分期因為經費的關係因為往苗栗的高架要擴大一點免得一上去就堵車所以要並由現在所謂的洋投國一拓寬工程一併來辦理
transcript.whisperx[707].start 35119.278
transcript.whisperx[707].end 35146.161
transcript.whisperx[707].text 那我想這個部分那請教部長好不好那這個部分我直接給你看一下你們給我的回答你可以照著念好不好就是下面北向工程嘛那南向工程你們的說法是今年會完成可信性評估綜合規劃然後在明年會用力取得工程設計115年施工有沒有辦法做到
transcript.whisperx[708].start 35148.731
transcript.whisperx[708].end 35170.888
transcript.whisperx[708].text 如果你115年施工正好是我們羊頭拓寬也是準備開工嘛那其實就搭 有搭上啦 有搭上那這個部分 這個原來的構想就是要跟羊頭一起做就是你剛提的這個南向的這個部分115年要動工嘛他就是跟著羊頭一起來執行
transcript.whisperx[709].start 35172.609
transcript.whisperx[709].end 35193.462
transcript.whisperx[709].text 我知道,現在因為羊頭拓寬要動了,你們不能忘了這一條,南向的好不好。然後再來一個部分,我要特別在這裡也拜託院長,因為事實上你們去年提了一個桃竹苗大細股推動的方案,正好這個方案是左眼以桃竹苗,
transcript.whisperx[710].start 35193.982
transcript.whisperx[710].end 35218.949
transcript.whisperx[710].text 所以在這個方案裡面頭就是桃園然後剛好在交通部提的這個方案那在大西湖方案交通的策略是什麼其中一個最重要就是羊頭拓寬那在這拓寬段要串聯桃竹苗那個頭當然就是中峰北路交流道要讓南邊的貨物能夠從這邊下來不能夠全部都擠到機場交流道那邊進去
transcript.whisperx[711].start 35220.089
transcript.whisperx[711].end 35242.15
transcript.whisperx[711].text 所以我想這個部分我就提到這裡請院長跟部長回去了解在經費時程上按照之前公文的承諾能夠多幫忙好不好好謝謝委員提醒剛剛有看到書前院長的公文我回去我們再研究一下公文的內容我們照公文的方式跟精神繼續看能不能做更有效率的運用
transcript.whisperx[712].start 35243.117
transcript.whisperx[712].end 35243.777
transcript.whisperx[712].text 另外請問一下院長
transcript.whisperx[713].start 35272.418
transcript.whisperx[713].end 35300.911
transcript.whisperx[713].text 我們機場……欸,民航局會不會嚇一跳?機場捷運,機場捷運你有沒有坐過啊?我沒有坐過機場捷運。你沒有坐過機場捷運?哦,你都是坐轎車。因為很少出國。哦,很少出國。哇,那這比較悲情一點。那部長你有沒有坐過機場捷運啊?應該……坐到機場?應該七、八次以上。七、八次啊?對。有沒有去坐到機場過?
transcript.whisperx[714].start 35304.822
transcript.whisperx[714].end 35318.13
transcript.whisperx[714].text 事實上機場捷運在疫後之後復甦的非常非常快這個部分事實上在好幾次質詢我們行政院也知道只是正好現在團隊因為整個患那就簡單再拿出來說一下
transcript.whisperx[715].start 35319.071
transcript.whisperx[715].end 35338.439
transcript.whisperx[715].text 那我要特別拜託因為在剛開始的社聚運能本來是每個小時要載4700多人但是因為實際上不可能擠得跟沙丁魚一樣而且他的班聚後面因為驗收的問題他沒有辦法跑那麼密集所以現在實際的運能大概只有3500人左右
transcript.whisperx[716].start 35339.119
transcript.whisperx[716].end 35361.642
transcript.whisperx[716].text 那各位包括院長部長你在看啊今年113年他每小時的運量已經到了4793人已經是我們實際運能的大概將近比他多出多出30%左右那如果再往上走你看到未來會碰到T3航廈的落成未來不管是
transcript.whisperx[717].start 35362.883
transcript.whisperx[717].end 35377.22
transcript.whisperx[717].text 國際旅客來或準備要出國我想這是國門最重要的交通工具這不是地方的一個捷運那這個部分我覺得看到了未來的一個重大需求那我不知道院長有沒有被告知
transcript.whisperx[718].start 35379.264
transcript.whisperx[718].end 35408.263
transcript.whisperx[718].text 在我們從3月份我們當時交通委員會當然是跟前部長還有鐵道局局長是一樣的那我們特別有趣到我們地方來去做一個溝通那地方至上希望面臨這種運量大幅提升根本一倍的車都不夠那怎麼辦一定要買新的車沒辦法所以他們原本要的量可能是超過20列那後面經過
transcript.whisperx[719].start 35409.224
transcript.whisperx[719].end 35420.35
transcript.whisperx[719].text
transcript.whisperx[720].start 35420.956
transcript.whisperx[720].end 35445.976
transcript.whisperx[720].text 十輛叫十列抱歉齁十列那其中這個普通車跟那個抱歉一邊是直達車齁直達車普通車總共十列那這個部分有沒有交接啊院長因為這個到時候錢都要跟你要欸因為你知道嗎我們市長已經質詢了一兩年那我就怕沒有交接但是沒有關係不一定要在這裡講啦我們希望把這個問題提出來齁那
transcript.whisperx[721].start 35448.698
transcript.whisperx[721].end 35464.054
transcript.whisperx[721].text 部長,那你說一下好不好,你知道這個情況吧?是,我大致上了解,就是當時有過相關的協議,就是資產移轉的部分跟這個購車的補助,希望兩個能夠是一起討論跟決定。
transcript.whisperx[722].start 35466.614
transcript.whisperx[722].end 35494.493
transcript.whisperx[722].text 這個部分資產移轉跟購車事實上從曾文燦市長的時代就很擔心嘛他說那你就購車也要講清楚現在你們說目前購車你們有提出一個方案當然我認為還沒有公文還沒具體化但我認為這個訊息要交接不能讓我們包括你們鐵道局交通部重新開始比如說二十列車談到了十列幾列直達車幾列普通車已經有個方向了
transcript.whisperx[723].start 35495.073
transcript.whisperx[723].end 35512.975
transcript.whisperx[723].text 這個不要再談,要拜託你們來幫忙。那我想...那也跟委員報告。你說。機捷自從去年我們開始推TPAS之後,機捷的運量增加了大概80%,所以TPAS對機捷的運能的提升其實有很大的幫助,也讓他可以轉虧為盈。
transcript.whisperx[724].start 35514.577
transcript.whisperx[724].end 35536.709
transcript.whisperx[724].text 好我知道你講這個是就技工一次嘛好不好技工一次但是都一樣就是人很多啦人超多的不管是直搭車普通車這是真的啦好謝謝委員我除了去年有出國的時間之外比較少那季節的問題我想我們我可以再去深入的了解再跟委員做報告好事實上季節因為當時的所謂的運量是真的
transcript.whisperx[725].start 35537.429
transcript.whisperx[725].end 35554.822
transcript.whisperx[725].text 不是這樣因為他忘了有人提了行李還提兩顆的這種實在是不夠那也希望有談的方案能夠持續的談下去但現在又遇到一個問題確實非常重要因為他是國家的重要門面國家的門面不是說桃園而已真的是國家的門面
transcript.whisperx[726].start 35555.583
transcript.whisperx[726].end 35582.49
transcript.whisperx[726].text 那我要拜託兩位有一個非常重要的事我覺得大家站在這裡就是解決問題如果所有問題都是這種輕鬆如意的也不需要大師兄或是我們前行政院秘書長你們兩位都是秘書長級的正好很多跨部會協調你知道嗎其實這個我們機場捷運的尤其耗資系統機電耗資系統可歌可泣啊有一個很悲慘的一個這個歷史的一個過程
transcript.whisperx[727].start 35585.54
transcript.whisperx[727].end 35594.912
transcript.whisperx[727].text 那我想我要講這個原因不是講故事而是告訴你最後發生了什麼事啊第一個在過去大家都知道玩紅
transcript.whisperx[728].start 35596.806
transcript.whisperx[728].end 35618.975
transcript.whisperx[728].text 我們早就已經蓋好土木標都已經完成了,站都做好了,車一直不通。而且當時的一個政府不管周遭地方,言了六次宣布明年要通車就絕對沒通,言了六次。那造成很多的一個民怨。那到底是誰惹的禍?原來都是機電耗製系統惹的禍。到底發生了什麼問題呢?因為當時玩紅商社
transcript.whisperx[729].start 35619.815
transcript.whisperx[729].end 35637.888
transcript.whisperx[729].text 他覺得他自己能力夠就標了這樣的一個基電系統他本來應該自己做結果他講說我其實我也不會做他就轉給了英維斯公司英國的英維斯公司他會做就請他來那就實下合約就做嘛就做到最後勒糟糕了
transcript.whisperx[730].start 35639.178
transcript.whisperx[730].end 35649.937
transcript.whisperx[730].text 各做完之後要跟系統整合產生了非常大的問題系統整合一直出問題造成很多很多缺點一直沒有辦法改善
transcript.whisperx[731].start 35651.367
transcript.whisperx[731].end 35673.978
transcript.whisperx[731].text 院長你應該有聽說過這件事因為你做過秘書長你肯定有聽過這件事因為這個是扯了真的非常久即使106年3月2號終於啊就有些缺點不管了就上了就啟動了開始賽課了到現在為止啊到底有沒有合格驗收啊這個問部長好不好部長到底我們集結有沒有合格驗收完成啊
transcript.whisperx[732].start 35676.038
transcript.whisperx[732].end 35702.415
transcript.whisperx[732].text 我知道當時是完紅他是用這個用這個價格標來承攬這個機場捷運的工程所以後來工程會有一個明令就是價格標確實是會造成第一個沒有辦法找到一個優質的廠商那施工品質也堪慮所以所以後來工程會有明令要求所有的工程一定價格一定的金額以上一定要用評選
transcript.whisperx[733].start 35703.756
transcript.whisperx[733].end 35725.999
transcript.whisperx[733].text 好了,其實我問題比較簡單啦,到底有沒有合格驗收,沒有啦,後面是減價驗收啦,缺失就沒辦法,沒辦法,你又不能把車還給他,這東西也不能拆還給他,後面是減價,當然有把它的一些的價金,把它沒入,那你應該知道吧。不過以採購法,減價驗收也是合法驗收的一種方式。合法減價驗收,好不好,跟證一下。
transcript.whisperx[734].start 35726.94
transcript.whisperx[734].end 35754.127
transcript.whisperx[734].text 那為什麼呢?到底差在哪裡?為什麼?因為他到最後機電要做到大家都知道車殼這是骨骼嘛但是真正什麼時候跑什麼時候停安全系統跟營運系統全部都是靠這個機電耗資系統他是靈魂他這個靈魂弄不好所以他當時承諾的不管是行車的速度平均速率跟車距啊幾分鐘可以發一班都做不到好吧那這一套系統
transcript.whisperx[735].start 35756.98
transcript.whisperx[735].end 35779.089
transcript.whisperx[735].text 晚紅商社在我們車上裝的血源系統叫做DTGR就是英維斯來自英國血源的一個系統叫做舊的信號系統那現在發生什麼事呢還沒產完啊那現在做到了再剩兩站就到中立火車站你知道嗎那因為我在現場監督啊
transcript.whisperx[736].start 35780.503
transcript.whisperx[736].end 35780.523
transcript.whisperx[736].text 發報告
transcript.whisperx[737].start 35800.546
transcript.whisperx[737].end 35819.319
transcript.whisperx[737].text 這兩站一樣土木包早就做好了。最後啊積電標真是很坎坷啊驗收延這麼久就積電標從103年的9月發包到108年的7月8月9月整整5年的時間才發包出去。又是誰惹的禍你知道嗎?
transcript.whisperx[738].start 35820.393
transcript.whisperx[738].end 35848.47
transcript.whisperx[738].text 又是耗資系統惹的禍都同樣一個人同樣又是他惹的禍為什麼這時候發生什麼事呢招標了15次5年發生什麼事呢發生了因為招標前面從臺北火車站到中壢外面的車外的系統都是玩紅商社的英維斯的DTGR的車機跟外圍的系統所以我要拜託再招標怎麼辦呢
transcript.whisperx[739].start 35849.511
transcript.whisperx[739].end 35849.631
transcript.whisperx[739].text 因為2013年
transcript.whisperx[740].start 35874.417
transcript.whisperx[740].end 35885.415
transcript.whisperx[740].text 因為是公司已經被併購了2014年他們的政策就改變了所以標了12次沒人來啊就這個系統已經沒有人要做了所以又怎麼解決啊
transcript.whisperx[741].start 35886.368
transcript.whisperx[741].end 35914.294
transcript.whisperx[741].text 最後到第5年的時候這個鐵道局應該很清楚當時副局長他沒有辦法了只要開放把規格開放任何的訊號廠商都可以來任何訊號廠商都可以來因為他問了全世界知名的訊號廠商公司在臺灣沒有一個可以做這種救的所以好吧任何人都可以來那怎麼辦呢所以所以看一下第二個系統出來了
transcript.whisperx[742].start 35916.989
transcript.whisperx[742].end 35932.618
transcript.whisperx[742].text 劉彪15次弄了一個新的系統因為英文字太老舌LGMT西門子兩家不同學員不同系統不同東西不同運作的方式兩個東西我簡稱新跟舊那我跟你講
transcript.whisperx[743].start 35936.533
transcript.whisperx[743].end 35960.382
transcript.whisperx[743].text 因為院長比較少做部長有做過8次那你可能沒有做到總領總領現在不錯總領做到A21的時候還要手動切換一下跟手排車一樣喀喀換成新的系統才能夠向前吐為什麼呢因為車友兩站的車外的系統是西門子的系統那這是全世界唯一應該唯一
transcript.whisperx[744].start 35962.383
transcript.whisperx[744].end 35983.478
transcript.whisperx[744].text 一個車有車載兩個系統這就是現在一個情況好那我現在到底我要講什麼問題你們應該也想到那未來呢現在要買車了桃園市政府、捷工局、大東捷運公司蠻開心的然後因為要跟鐵道局、交通部要呈報細部計劃要實際要有報價要規範那當然去尋價那尋價尋到現在的結果是什麼
transcript.whisperx[745].start 35989.329
transcript.whisperx[745].end 36012.139
transcript.whisperx[745].text 可沒問題。好幾家都會做殼給你。但是靈魂它的耗資系統呢?怎麼辦呢?沒有人要啊。那個院長部長看一下喔。他們3月多到4月甚至發到我們外交部英國駐外辦事處。結果在4月10日德國西門子他回函喔。
transcript.whisperx[746].start 36013.581
transcript.whisperx[746].end 36040.67
transcript.whisperx[746].text 回憨說什麼就簡單你自己看一下啦黃色部分他說因為4號的系統啊DTGR由於第三方供貨已停產了好不好第三個如果真列的真夠列車搭載這個系統的解決方案對他們來說不可行就算現在中古的湊給你未來要維修20年我也幹不下去所以這是目前為止
transcript.whisperx[747].start 36041.653
transcript.whisperx[747].end 36065.72
transcript.whisperx[747].text 我們在桃園他們要買車遇到了一個問題就是這個問題比剛剛那個中壢的兩站更嚴重因為你裝不到舊的系統從台北火車站開到我們中壢這個舊的系統都沒人跑他這個車也沒有辦法買所以這個根本的問題就完全沒有辦法解決我想這個問部長因為這個問題細一點部長你有沒有聽說過到這個問題
transcript.whisperx[748].start 36071.682
transcript.whisperx[748].end 36089.887
transcript.whisperx[748].text 講真的這個問題我初步有了解但是還因為這個太技術性就是說能不能雙系統因為現在有點是在形式上是有有一些列車是有雙系統他到了A21他要切換成西門子的系統
transcript.whisperx[749].start 36090.814
transcript.whisperx[749].end 36093.475
transcript.whisperx[749].text 所以你不清楚我今天特別代表鐵道局我做簡報
transcript.whisperx[750].start 36109.04
transcript.whisperx[750].end 36137.568
transcript.whisperx[750].text 最清楚的簡報給你報告讓你了解鐵道局回去再補充說明現在問題怎麼解決你買了實列車放在A站台北火車站你用鞭子鞭它不會動喔因為裡面沒有裝信號系統沒有裝英維斯的DTG啊它沒有這個系統那你說我裝第二套系統西門澤第二套系統可以你就跑中壢兩站因為只有最後兩站是新的系統
transcript.whisperx[751].start 36138.348
transcript.whisperx[751].end 36164.85
transcript.whisperx[751].text 你不可能嘛可是你不買車會變成國門的笑話所以今天我要把這個問題不容易解決但是要直接面對因為當時不知道為什麼我們運氣這麼好這一家英維斯的訊號號誌系統全世界的捷運只賣了兩家一個是台灣的這個季節第二個是英國的維羅利亞縣
transcript.whisperx[752].start 36166.132
transcript.whisperx[752].end 36170.499
transcript.whisperx[752].text 我有聽說維羅里亞縣他也準備其他整合他們系統都要換
transcript.whisperx[753].start 36171.581
transcript.whisperx[753].end 36196.135
transcript.whisperx[753].text 不要到最後我們的車開到一半也沒有地方修我們現在講真的舊的舊的車我問過了還有部分的備料我自己覺得可能開個五年五年六年大概還有的修主機板壞了沒辦法我們還可以修不然拿到我們數位部去修也可以我相信應該還是可以修好可是你新車怎麼辦時間這麼緊迫你要怎麼辦
transcript.whisperx[754].start 36199.557
transcript.whisperx[754].end 36227.238
transcript.whisperx[754].text 所以我想這個因為我也覺得這不是部長單獨可以去這個解決的好那你看喔兵臨城下囉因為他發文給現在這件事情最有效率的只有我們外交部今天沒有來因為就是我們桃園捷運公司行文解公局行文給這個英國代表處啦英為斯不知道怎麼樣天罡皇帝委員拜託幫我們去查一下只有他當天
transcript.whisperx[755].start 36229.064
transcript.whisperx[755].end 36251.808
transcript.whisperx[755].text 這個接到函,三天之後就回函了。就結論是說,不好意思喔,一般商務啊,干我屁事啊,大概是這樣。啊就這樣,求助無門啊。所以今天我們為什麼在那邊講,說好像都不是國家的事,啊拜託幫我們去問一下都不行,就是說這個都沒問題。那右手邊,我們這個部長要特別注意,6月26號,6月26號,因為他們已經弄了將近兩個月,沒辦法求助無門。
transcript.whisperx[756].start 36256.748
transcript.whisperx[756].end 36284.296
transcript.whisperx[756].text 連坐車的廠商他們都去問我可以賣你車那我再問我去問一下信號系統因為車載系統要鎖的位置他也要預留這些位置他們也問不到他說停產了所以這個問題現在的問題已經給鐵道局了馬上交通部你要做決定因為這個事情真的不能拖你要買個車真的到位三年五年不見得到得了尤其是你現在只剩兩個選擇
transcript.whisperx[757].start 36286.65
transcript.whisperx[757].end 36301.207
transcript.whisperx[757].text 院長我想你協調過這麼多次現在問題點真的就只有兩個選擇都很艱難第一個選擇就是能不能集全國之力找到舊的耗資系統DTGR
transcript.whisperx[758].start 36301.988
transcript.whisperx[758].end 36322.432
transcript.whisperx[758].text
transcript.whisperx[759].start 36322.552
transcript.whisperx[759].end 36342.552
transcript.whisperx[759].text 那另外第二種方式呢?如果你真的買不到怎麼辦?因為現在都問不到怎麼辦?院長你要不要說一下?如果都買不到,你有沒有什麼初步的想法?我的想法是因為他現在雖然使用零線不到啦,但是安全的考量看有沒有特別的需求,否則就是現在如果買到舊的未來還是問題。況現在要買到舊的可能很麻煩。
transcript.whisperx[760].start 36346.138
transcript.whisperx[760].end 36371.397
transcript.whisperx[760].text 可能就是要全線做一個決心。問題講出來,回去研究一下解決之道。部長咧?因為就是說這個廠商停產或是被購併、被併購這個坦白說是屬於不可抗力的因素。因為當時在招標的時候沒有預料到使用的這個系統後來這個廠商會已經不存在或是停產。
transcript.whisperx[761].start 36372.097
transcript.whisperx[761].end 36381.62
transcript.whisperx[761].text 所以我想這個部分我們會再跟相關的審計單位來做請示跟考量有沒有辦法因為一般來講是希望能夠用15年的年限
transcript.whisperx[762].start 36382.711
transcript.whisperx[762].end 36410.856
transcript.whisperx[762].text 我是覺得長痛不如短痛有很多案子越拖可能要花的錢越多絕對不會越少那現在這個問題問題是我們國門重要的交通真的一天也不能停你也沒有辦法這個車真的有這個需求就算台灣市政府或者大宗捷運公司說不買你還要逼他你這樣不行啊到台灣的旅客都不滿意所以我們會找國內的機電專家大家來一起及時廣譯這個部分第一個舊系統能不能找到或者取代品有沒有影響到專利這解決的第一個方案
transcript.whisperx[763].start 36411.616
transcript.whisperx[763].end 36430.876
transcript.whisperx[763].text 第二個方案,那個方案就不換車,應該沒有這個方案,第二個方案就是提前重置嘛,那就沒辦法,那就只有最新的一些系統,那就從這個A1台北火車站到現在的A21,它的車外的系統,車外的系統,
transcript.whisperx[764].start 36432.028
transcript.whisperx[764].end 36432.048
transcript.whisperx[764].text 拜訪議員
transcript.whisperx[765].start 36456.864
transcript.whisperx[765].end 36466.842
transcript.whisperx[765].text 解決這個問題。第二個可以讓新北市已經提了超多次給交通部他有兩個未來的區段徵收區人會住進來A2A
transcript.whisperx[766].start 36471.753
transcript.whisperx[766].end 36495.399
transcript.whisperx[766].text 因為他要蓋啊沒有訊號系統啊沒有辦法停啊如果可以更新系統他們一併新設站可以解決這個部分因為我認為是行政院級的一個要統合的一個問題是不是能拜託我們卓院長跟我們的部長還有鐵道局能夠深思這個問題在三個月之內你總是要一個方向不然都來不及可以嗎
transcript.whisperx[767].start 36496.259
transcript.whisperx[767].end 36523.665
transcript.whisperx[767].text 好,謝謝委員,今天的提醒非常重要好,謝謝盧委員好,謝謝院長陳寅委員之質詢已書面提出請行政院書面答覆並列入紀錄刊登公報下一位我們請林倩琦委員質詢
transcript.whisperx[768].start 36542.43
transcript.whisperx[768].end 36547.113
transcript.whisperx[768].text 在今天進入有關於交通跟觀光今天這樣一個主題之前呢我想要借禮拜二
transcript.whisperx[769].start 36565.643
transcript.whisperx[769].end 36584.744
transcript.whisperx[769].text 我提的一個議題然後過渡到今天有關於就是交通相關的一個議題那禮拜二我提到了那個運動發展部的一個成立那這個部分我提醒院長一下就是在成立的這個過程當中不知道行政院這邊有沒有一個時間表
transcript.whisperx[770].start 36587.112
transcript.whisperx[770].end 36610.89
transcript.whisperx[770].text 時間表因為牽扯到中央機關組織法的一個調整所以一定是要在大家有這樣的共識底下我們來提出但是內部就這個組織這個未來的這個部的一個組織的這個規劃我們都已經整併的在進行那我希望能夠先把這個規劃向外界來說明那我預計大概在在8月的時候來做這樣子8、9月的時候看能不能有一個初步的規劃出來
transcript.whisperx[771].start 36611.53
transcript.whisperx[771].end 36639.484
transcript.whisperx[771].text 好的謝謝本席這邊也知道你們有幾個規劃的一個跟大眾來做溝通的一個規劃設計那所以在這個部分我提出一個建議建議在明年的這個預算年度也就是明年在我們立法院的第四個會期那這邊能夠有很具體的一個結果那這樣在設立的一個期程上賴總統的政見是比較有機會完成的那這是本席的一個建議不曉得院長您的看法
transcript.whisperx[772].start 36639.804
transcript.whisperx[772].end 36664.117
transcript.whisperx[772].text 我們朝這個目標跟時間來努力好的謝謝那從這個一個議題那我要先提醒一下有關於今天我們這個主要的議題在最近關於這個大家應該前幾天知道在新竹的這個新岳的這個沙灘這邊發生了一個有關於高中生戲水的一個狀況那在昨天的兩個人失聯
transcript.whisperx[773].start 36665.337
transcript.whisperx[773].end 36665.457
transcript.whisperx[773].text 關於海灘管理﹚
transcript.whisperx[774].start 36686.736
transcript.whisperx[774].end 36715.963
transcript.whisperx[774].text 行政院在整個的海岸的這個安全上有沒有什麼樣一個想法規劃讓大家在整個暑假能夠安全無虞這個西邊啊海邊啊經常在這個暑假發生這樣的遺憾的事情那我想地方政府也要跟中央政府一起合作是不是有充足的人力或是明顯的告示那麼以及在現場場地的維護等等這個都需要互相的來協助跟努力的
transcript.whisperx[775].start 36717.224
transcript.whisperx[775].end 36732.539
transcript.whisperx[775].text 謝謝院長您講到一個重點那本席這邊有一個建議本席看到這樣一個問題其實很重要一點就您剛才也有講到有沒有充足的人力那所以暑假快到了這個其實跟教育有很大的一個關係也就是說在我們剛才講的這個體育署
transcript.whisperx[776].start 36734.301
transcript.whisperx[776].end 36762.772
transcript.whisperx[776].text 那目前的一個在海岸的這個人力是不是足夠?現在可能在這個游泳池有很多的一個救援的人力那但是在沙灘海岸那這個跟觀光署有比較大的一個關係或是交通部很大一個關係你們在其實海岸的安全還有路上的安全其實有相關的這個單位去做處理那當然跟縣市政府要一起來共同的守護那這個部分不知道交通部現在對於這個暑假目前的一個規劃
transcript.whisperx[777].start 36764.604
transcript.whisperx[777].end 36780.562
transcript.whisperx[777].text 我想我們會針對這些有民眾常遊棄的地方那跟地方政府大家來再做一次安全措施或是相關的安全的這個部分的這個評估跟跟這個維護的這個進一步的措施
transcript.whisperx[778].start 36781.582
transcript.whisperx[778].end 36801.488
transcript.whisperx[778].text 謝謝部長,所以我這邊特別提醒,現在暑假已經開始了,所以可能在現在就趕快先來,就這個部分,就是院裡面還有跟地方政府,那是不是交通部這邊來做一個主導,針對海岸的觀光,海岸的汐水,在暑假讓大家能夠有一個安全的暑期生活,好不好?
transcript.whisperx[779].start 36806.332
transcript.whisperx[779].end 36819.826
transcript.whisperx[779].text 本席本席會這樣講是因為本席其實經常都在海岸這是本席那我是經常都在海上開帆船的所以對於海域的這個狀況本席略有所知所以剛才院長所提的這個人
transcript.whisperx[780].start 36821.408
transcript.whisperx[780].end 36839.855
transcript.whisperx[780].text ﹚議員﹚
transcript.whisperx[781].start 36839.895
transcript.whisperx[781].end 36869.01
transcript.whisperx[781].text 更積極的一些未來所以在這樣的提醒之下我今天一個主題是要對於這個無動力相關的一個議題來跟院長這邊做一個交流所以接下來一張我們請看一下這個我們知道現在大家交通部其實現在一直在推環島那無動力的這個自行車那本席這邊是要提醒是待會會給你們看幾個案例所以這個部分是說用生命的環島那大卡車
transcript.whisperx[782].start 36869.83
transcript.whisperx[782].end 36870.21
transcript.whisperx[782].text 現在請看目前動的
transcript.whisperx[783].start 36888.287
transcript.whisperx[783].end 36917.285
transcript.whisperx[783].text 這應該是我們不好意思上面也是本席本席在2021年在2021年那參加了這個100公里的這個自行車的挑戰那這個是本席所騎的每一段那不知道那個院長這邊有沒有看得出來其實在陸服的部分有很嚴重的這個衝擊也就是說基本上腳踏車很多時候是沒有地方可以騎的那我們接下來看下面一個這個是2024年那本席在過年的時候
transcript.whisperx[784].start 36917.765
transcript.whisperx[784].end 36928.464
transcript.whisperx[784].text 也要親自再看一下我們的這個道路那不知道院長有沒有看出問題這邊有一個騎士騎自行車的那不曉得你有沒有發現他的周遭是什麼樣的狀況
transcript.whisperx[785].start 36930.314
transcript.whisperx[785].end 36954.463
transcript.whisperx[785].text 大車的環圍繞當中是的大車就圍繞他那本席在全島這樣這不只參加過這一次那個200公里的也有挑戰過那本席就發現其實自行車的這個環境很不友善不僅是在市區那尤其是在這些部落原鄉還有這個台灣的公路都是一個很大的問題那我們再來看更可怕更危險的這個
transcript.whisperx[786].start 36956.752
transcript.whisperx[786].end 36978.032
transcript.whisperx[786].text 接下來所看到的這個圖這個是在花蓮清水段來跟東澳南澳的這個路段那這已經是04、03之前的一個狀況了那04、03之後我們知道更辛苦了那過去還有人在騎現在可能很難騎那未來不知道怎麼騎那這個可能是交通部必須要去正視的一個問題
transcript.whisperx[787].start 36978.953
transcript.whisperx[787].end 36980.594
transcript.whisperx[787].text 其實我們對自行車也都非常的愛好所以非常認同這句話就臺灣其實很美麗
transcript.whisperx[788].start 37003.145
transcript.whisperx[788].end 37024.402
transcript.whisperx[788].text 現在我們有幾個計畫正在進行首先就是目前北海岸跟東北角除了河濱公園的自行車道是可以從淡水一直到河濱公園這是有被保護的車道可是本席還有參加一些比賽的時候事實上它不可能在比如說觀光局的這樣相關的這個場域裡面所以目前這個計畫裡面包括要從淡水做到基隆
transcript.whisperx[789].start 37029.326
transcript.whisperx[789].end 37029.346
transcript.whisperx[789].text ﹚二、
transcript.whisperx[790].start 37057.944
transcript.whisperx[790].end 37083.322
transcript.whisperx[790].text 西濱其實現在已經從桃園到新竹甚至到苗栗都已經有專用道有一些道路是沒有連起來的本席在這邊做一些提醒那現在公路局正在處理這個部分他會配合西濱的一些改善把從巴黎巴黎的這個海港海岸這邊一直到苗栗都會有一個專用道來把它串聯
transcript.whisperx[791].start 37083.962
transcript.whisperx[791].end 37108.459
transcript.whisperx[791].text 好的,但本席樂見這樣子的一個規劃,那也期待在規劃的時候能夠更細緻。那這個也在這個57億裡面會來達成。那剛剛提到最嚴重的就是蘇花。對對對,那這一段我想可能這個交通部要結合路政司、觀光署還有相關的這個運營所此類等等。那這些單位其實要就不同的這種用路的這個方式來做相關的規劃。
transcript.whisperx[792].start 37109.46
transcript.whisperx[792].end 37137.589
transcript.whisperx[792].text 那還有我們現在在做的花東景觀景觀快速景觀道路花東景觀道路兩旁都有留相關的自行車騎乘或者是人行的空間是那這邊我要跟部長提醒的就是說自行車還有人行其實在部落這個進入部落這個部分其實也是應該做一些相關的規劃那我們先談那個安全的問題那所以呢接下來給那個部長
transcript.whisperx[793].start 37138.069
transcript.whisperx[793].end 37138.469
transcript.whisperx[793].text 議員長報告施政院院長報告
transcript.whisperx[794].start 37157.401
transcript.whisperx[794].end 37159.222
transcript.whisperx[794].text 接下來本席要談一個概念有關於這個
transcript.whisperx[795].start 37175.834
transcript.whisperx[795].end 37202.615
transcript.whisperx[795].text 本席其實在上個會期也有談那這個會期再重新談一下然後目前先用這樣一個計畫跟名稱來講也就是一個福爾摩沙的徒步入網那我們知道交通部目前在自行車的這個部分也就是無動力啦也做了一些規劃那但是呢在徒步的這個部分有的時候不太友善那有的時候不太完備所以本席這邊提出可不可以透過目前已有的環島一號線然後跟台灣的長步道
transcript.whisperx[796].start 37203.095
transcript.whisperx[796].end 37230.895
transcript.whisperx[796].text 那部長知不知道國家綠道有哪三條?國家級綠道原來規劃是七條。目前有三條嗎?現在有三條比較受歡迎。你有走過嗎?有部分有走過。你們部分走過?那本席走過一條啦。整整一條待會跟您分享。其中有一條是我在台南做的。就是山海關那一條嗎?對,山海郡。那有一個是張之隙道。那北邊就是淡南古道。
transcript.whisperx[797].start 37232.576
transcript.whisperx[797].end 37250.398
transcript.whisperx[797].text 所以在這個部落跟村落之間的連結本期期待這個交通部能夠讓他更完備所以接下來第一個還是安全的問題這個是一個YouTuber叫Ava那他在走路的時候經常是沒地方走的自行車都沒地方走更何況人
transcript.whisperx[798].start 37252.901
transcript.whisperx[798].end 37269.102
transcript.whisperx[798].text 安全性的問題部落間動態的部分因為setting的關係不好意思請院長再彎一下頭看部落常常是車子也行部落的老人的賓士
transcript.whisperx[799].start 37269.682
transcript.whisperx[799].end 37271.944
transcript.whisperx[799].text 接下來本席跟您分享一下這個概念來自於本席其實這幾年經常在國外走
transcript.whisperx[800].start 37295.603
transcript.whisperx[800].end 37313.341
transcript.whisperx[800].text 那剛才我聽到盧委員在問你們機場捷運有沒有常搭那本席也是常搭那不僅常搭本席也不太喜歡老是開車所以各位我們在2017年2018年疫情前經常都在走動那世界文化遺產的這個聖亞各路本席已經走過了4條走過4次
transcript.whisperx[801].start 37314.923
transcript.whisperx[801].end 37316.144
transcript.whisperx[801].text 這樣一個概念其實就跟本席剛才所講的這個路網
transcript.whisperx[802].start 37329.94
transcript.whisperx[802].end 37330.12
transcript.whisperx[802].text 您講的7條國家綠道
transcript.whisperx[803].start 37356.049
transcript.whisperx[803].end 37357.85
transcript.whisperx[803].text 我要對委員表示非常的敬佩你不僅這個文武雙全還是海陸健將怎麼出那麼多地方
transcript.whisperx[804].start 37382.5
transcript.whisperx[804].end 37398.698
transcript.whisperx[804].text 國家未來的國家及綠道除了剛剛部長講的4條以外未來我們在台塘還有原住民古道還有吉良山脈這3條規劃中的那國發會我會請他學習委員剛剛講的那樣的精神跟規劃盡量以人安全為本的方式來做規劃
transcript.whisperx[805].start 37399.438
transcript.whisperx[805].end 37418.312
transcript.whisperx[805].text 最後一個提醒也就是其實我們走過這些道路然後不僅是水路還是道路能夠留下一些痕跡應該是我們人生很期待的一個事情所以大家可以去參考部裡面其實以前做過這個蓋章或者是每個地方跟地方的產業做一些聯動那這個部分其實是可以
transcript.whisperx[806].start 37419.052
transcript.whisperx[806].end 37434.281
transcript.whisperx[806].text 有更大的一個效果。那談到這邊最後要做一個危險性的提醒。也就是部落的這個邊坡問題。那本席的研究室有跟這個交通部這邊來做了一個討論。那就發現目前部落的這個邊坡其實沒有做相關的一個
transcript.whisperx[807].start 37434.821
transcript.whisperx[807].end 37459.889
transcript.whisperx[807].text ﹚檢視
transcript.whisperx[808].start 37481.911
transcript.whisperx[808].end 37486.276
transcript.whisperx[808].text 好,謝謝林委員。謝謝左院長。
transcript.whisperx[809].start 37487.557
transcript.whisperx[809].end 37508.436
transcript.whisperx[809].text 李坤哲委員之質詢以書面提出請行政院書面答覆並列入紀錄刊登公報。報告院會本日排定質詢的委員均與質詢均與詢答完畢。謝謝卓院長及相關部會首長列席答詢。七月九日星期二上午9時繼續開會進行交通組織質詢。現在休息。