iVOD / 17212

Field Value
IVOD_ID 17212
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/17212
日期 2026-01-19
會議資料.會議代碼 聯席會議-11-4-36,26-2
會議資料.會議代碼:str 第11屆第4會期司法及法制、社會福利及衛生環境委員會第2次聯席會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 2
會議資料.種類 聯席會議
會議資料.委員會代碼[0] 36
會議資料.委員會代碼[1] 26
會議資料.委員會代碼:str[0] 司法及法制委員會
會議資料.委員會代碼:str[1] 社會福利及衛生環境委員會
會議資料.標題 第11屆第4會期司法及法制、社會福利及衛生環境委員會第2次聯席會議
影片種類 Full
開始時間 2026-01-19T08:32:00+08:00
結束時間 2026-01-19T13:21:00+08:00
影片長度 04:49:00
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/8d241381c4f8c7fc831044d4eb4d2098d3d7714f303f762a0a219bd209750d2d618f8f8ea5acf4155ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2026-01-19T09:00:00+08:00
會議名稱 立法院第11屆第4會期司法及法制、社會福利及衛生環境委員會第2次聯席會議(事由:一、繼續併案審查行政院函請審議「衛生福利部組織法第二條、第五條及第八條條文修正草案」案等16案。 二、繼續併案審查行政院函請審議「衛生福利部兒少及家庭支持署組織法草案」案等14案。 三、繼續併案審查行政院函請審議「衛生福利部長期照顧及社會發展署組織法草案」案等12案。 四、繼續併案審查行政院函請審議「衛生福利部中央健康保險署組織法第二條條文修正草案」案等8案。 五、繼續併案審查行政院函請審議「國家醫療科技評估中心設置條例草案」案等8案。 六、繼續併案審查行政院函請審議「國家中醫研究院設置條例草案」案等14案。 【詳見議事日程】)
委員名稱 完整會議
委員發言時間 08:32:00 - 13:21:00
transcript.pyannote[0].speaker SPEAKER_18
transcript.pyannote[0].start 1662.99471875
transcript.pyannote[0].end 1667.46659375
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 1667.80409375
transcript.pyannote[1].end 1673.91284375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 1674.23346875
transcript.pyannote[2].end 1674.25034375
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 1674.25034375
transcript.pyannote[3].end 1674.30096875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 1674.30096875
transcript.pyannote[4].end 1699.12409375
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 1677.62534375
transcript.pyannote[5].end 1677.67596875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 1699.39409375
transcript.pyannote[6].end 1750.99784375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 1699.42784375
transcript.pyannote[7].end 1699.76534375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 1752.95534375
transcript.pyannote[8].end 1752.97221875
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 1752.97221875
transcript.pyannote[9].end 1766.13471875
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 1766.89409375
transcript.pyannote[10].end 1770.58971875
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 1774.06596875
transcript.pyannote[11].end 1788.37596875
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 1789.77659375
transcript.pyannote[12].end 1793.91096875
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 1794.95721875
transcript.pyannote[13].end 1803.88409375
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 1808.47409375
transcript.pyannote[14].end 1872.02534375
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 1873.69596875
transcript.pyannote[15].end 1876.15971875
transcript.pyannote[16].speaker SPEAKER_22
transcript.pyannote[16].start 1883.87159375
transcript.pyannote[16].end 1886.03159375
transcript.pyannote[17].speaker SPEAKER_22
transcript.pyannote[17].start 1886.94284375
transcript.pyannote[17].end 1937.78721875
transcript.pyannote[18].speaker SPEAKER_22
transcript.pyannote[18].start 1937.97284375
transcript.pyannote[18].end 1940.16659375
transcript.pyannote[19].speaker SPEAKER_22
transcript.pyannote[19].start 1940.72346875
transcript.pyannote[19].end 1946.34284375
transcript.pyannote[20].speaker SPEAKER_22
transcript.pyannote[20].start 1946.46096875
transcript.pyannote[20].end 1958.42534375
transcript.pyannote[21].speaker SPEAKER_22
transcript.pyannote[21].start 1958.72909375
transcript.pyannote[21].end 2024.03534375
transcript.pyannote[22].speaker SPEAKER_22
transcript.pyannote[22].start 2025.01409375
transcript.pyannote[22].end 2027.76471875
transcript.pyannote[23].speaker SPEAKER_22
transcript.pyannote[23].start 2028.08534375
transcript.pyannote[23].end 2040.53909375
transcript.pyannote[24].speaker SPEAKER_22
transcript.pyannote[24].start 2040.89346875
transcript.pyannote[24].end 2045.21346875
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 2047.59284375
transcript.pyannote[25].end 2055.23721875
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 2059.23659375
transcript.pyannote[26].end 2061.04221875
transcript.pyannote[27].speaker SPEAKER_12
transcript.pyannote[27].start 2059.96221875
transcript.pyannote[27].end 2060.41784375
transcript.pyannote[28].speaker SPEAKER_12
transcript.pyannote[28].start 2066.86409375
transcript.pyannote[28].end 2071.79159375
transcript.pyannote[29].speaker SPEAKER_12
transcript.pyannote[29].start 2072.14596875
transcript.pyannote[29].end 2198.48909375
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 2200.39596875
transcript.pyannote[30].end 2208.19221875
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 2209.42409375
transcript.pyannote[31].end 2213.33909375
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 2215.19534375
transcript.pyannote[32].end 2216.03909375
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 2217.30471875
transcript.pyannote[33].end 2217.89534375
transcript.pyannote[34].speaker SPEAKER_16
transcript.pyannote[34].start 2217.96284375
transcript.pyannote[34].end 2218.03034375
transcript.pyannote[35].speaker SPEAKER_16
transcript.pyannote[35].start 2218.97534375
transcript.pyannote[35].end 2219.07659375
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 2219.75159375
transcript.pyannote[36].end 2221.84409375
transcript.pyannote[37].speaker SPEAKER_16
transcript.pyannote[37].start 2221.84409375
transcript.pyannote[37].end 2221.96221875
transcript.pyannote[38].speaker SPEAKER_16
transcript.pyannote[38].start 2222.43471875
transcript.pyannote[38].end 2223.16034375
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 2223.14346875
transcript.pyannote[39].end 2226.33284375
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 2227.76721875
transcript.pyannote[40].end 2234.56784375
transcript.pyannote[41].speaker SPEAKER_03
transcript.pyannote[41].start 2234.95596875
transcript.pyannote[41].end 2256.21846875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 2256.74159375
transcript.pyannote[42].end 2291.87534375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 2292.04409375
transcript.pyannote[43].end 2362.41284375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 2362.78409375
transcript.pyannote[44].end 2392.61909375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 2393.78346875
transcript.pyannote[45].end 2404.27971875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 2404.65096875
transcript.pyannote[46].end 2419.34909375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 2419.55159375
transcript.pyannote[47].end 2425.98096875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 2426.57159375
transcript.pyannote[48].end 2520.21096875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 2520.76784375
transcript.pyannote[49].end 2522.75909375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 2523.58596875
transcript.pyannote[50].end 2526.18471875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 2526.50534375
transcript.pyannote[51].end 2527.77096875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 2528.46284375
transcript.pyannote[52].end 2589.98909375
transcript.pyannote[53].speaker SPEAKER_16
transcript.pyannote[53].start 2570.85284375
transcript.pyannote[53].end 2570.88659375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 2590.10721875
transcript.pyannote[54].end 2626.21971875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 2627.78909375
transcript.pyannote[55].end 2667.31034375
transcript.pyannote[56].speaker SPEAKER_17
transcript.pyannote[56].start 2670.41534375
transcript.pyannote[56].end 2675.68034375
transcript.pyannote[57].speaker SPEAKER_17
transcript.pyannote[57].start 2675.74784375
transcript.pyannote[57].end 2676.84471875
transcript.pyannote[58].speaker SPEAKER_17
transcript.pyannote[58].start 2678.48159375
transcript.pyannote[58].end 2679.22409375
transcript.pyannote[59].speaker SPEAKER_17
transcript.pyannote[59].start 2679.69659375
transcript.pyannote[59].end 2682.88596875
transcript.pyannote[60].speaker SPEAKER_17
transcript.pyannote[60].start 2683.56096875
transcript.pyannote[60].end 2685.99096875
transcript.pyannote[61].speaker SPEAKER_17
transcript.pyannote[61].start 2687.49284375
transcript.pyannote[61].end 2687.99909375
transcript.pyannote[62].speaker SPEAKER_17
transcript.pyannote[62].start 2688.25221875
transcript.pyannote[62].end 2695.25534375
transcript.pyannote[63].speaker SPEAKER_17
transcript.pyannote[63].start 2695.82909375
transcript.pyannote[63].end 2696.75721875
transcript.pyannote[64].speaker SPEAKER_17
transcript.pyannote[64].start 2696.92596875
transcript.pyannote[64].end 2697.56721875
transcript.pyannote[65].speaker SPEAKER_17
transcript.pyannote[65].start 2698.57971875
transcript.pyannote[65].end 2699.47409375
transcript.pyannote[66].speaker SPEAKER_17
transcript.pyannote[66].start 2701.71846875
transcript.pyannote[66].end 2702.46096875
transcript.pyannote[67].speaker SPEAKER_17
transcript.pyannote[67].start 2703.18659375
transcript.pyannote[67].end 2707.05096875
transcript.pyannote[68].speaker SPEAKER_17
transcript.pyannote[68].start 2708.21534375
transcript.pyannote[68].end 2714.15534375
transcript.pyannote[69].speaker SPEAKER_17
transcript.pyannote[69].start 2716.66971875
transcript.pyannote[69].end 2717.17596875
transcript.pyannote[70].speaker SPEAKER_17
transcript.pyannote[70].start 2718.55971875
transcript.pyannote[70].end 2720.82096875
transcript.pyannote[71].speaker SPEAKER_17
transcript.pyannote[71].start 2723.89221875
transcript.pyannote[71].end 2729.56221875
transcript.pyannote[72].speaker SPEAKER_17
transcript.pyannote[72].start 2729.86596875
transcript.pyannote[72].end 2731.40159375
transcript.pyannote[73].speaker SPEAKER_17
transcript.pyannote[73].start 2732.41409375
transcript.pyannote[73].end 2734.72596875
transcript.pyannote[74].speaker SPEAKER_17
transcript.pyannote[74].start 2735.77221875
transcript.pyannote[74].end 2735.99159375
transcript.pyannote[75].speaker SPEAKER_17
transcript.pyannote[75].start 2736.29534375
transcript.pyannote[75].end 2739.02909375
transcript.pyannote[76].speaker SPEAKER_17
transcript.pyannote[76].start 2739.11346875
transcript.pyannote[76].end 2739.94034375
transcript.pyannote[77].speaker SPEAKER_17
transcript.pyannote[77].start 2741.69534375
transcript.pyannote[77].end 2744.32784375
transcript.pyannote[78].speaker SPEAKER_17
transcript.pyannote[78].start 2744.44596875
transcript.pyannote[78].end 2745.79596875
transcript.pyannote[79].speaker SPEAKER_17
transcript.pyannote[79].start 2746.63971875
transcript.pyannote[79].end 2751.33096875
transcript.pyannote[80].speaker SPEAKER_17
transcript.pyannote[80].start 2751.60096875
transcript.pyannote[80].end 2752.64721875
transcript.pyannote[81].speaker SPEAKER_17
transcript.pyannote[81].start 2753.13659375
transcript.pyannote[81].end 2757.01784375
transcript.pyannote[82].speaker SPEAKER_17
transcript.pyannote[82].start 2758.21596875
transcript.pyannote[82].end 2758.58721875
transcript.pyannote[83].speaker SPEAKER_17
transcript.pyannote[83].start 2760.13971875
transcript.pyannote[83].end 2760.61221875
transcript.pyannote[84].speaker SPEAKER_17
transcript.pyannote[84].start 2761.03409375
transcript.pyannote[84].end 2765.01659375
transcript.pyannote[85].speaker SPEAKER_17
transcript.pyannote[85].start 2767.05846875
transcript.pyannote[85].end 2769.38721875
transcript.pyannote[86].speaker SPEAKER_17
transcript.pyannote[86].start 2769.96096875
transcript.pyannote[86].end 2770.66971875
transcript.pyannote[87].speaker SPEAKER_17
transcript.pyannote[87].start 2771.56409375
transcript.pyannote[87].end 2772.13784375
transcript.pyannote[88].speaker SPEAKER_17
transcript.pyannote[88].start 2772.59346875
transcript.pyannote[88].end 2774.06159375
transcript.pyannote[89].speaker SPEAKER_17
transcript.pyannote[89].start 2774.38221875
transcript.pyannote[89].end 2777.65596875
transcript.pyannote[90].speaker SPEAKER_17
transcript.pyannote[90].start 2778.04409375
transcript.pyannote[90].end 2779.64721875
transcript.pyannote[91].speaker SPEAKER_17
transcript.pyannote[91].start 2780.06909375
transcript.pyannote[91].end 2780.69346875
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 2798.32784375
transcript.pyannote[92].end 2822.76284375
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 2823.72471875
transcript.pyannote[93].end 2824.31534375
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 2824.99034375
transcript.pyannote[94].end 2828.26409375
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 2828.78721875
transcript.pyannote[95].end 2829.85034375
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 2830.17096875
transcript.pyannote[96].end 2856.69846875
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 2858.55471875
transcript.pyannote[97].end 2860.63034375
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 2862.04784375
transcript.pyannote[98].end 2862.82409375
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 2863.71846875
transcript.pyannote[99].end 2864.08971875
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 2866.53659375
transcript.pyannote[100].end 2867.59971875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 2867.68409375
transcript.pyannote[101].end 2870.92409375
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 2871.09284375
transcript.pyannote[102].end 2871.61596875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 2871.61596875
transcript.pyannote[103].end 2871.90284375
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 2872.03784375
transcript.pyannote[104].end 2872.40909375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 2872.40909375
transcript.pyannote[105].end 2874.01221875
transcript.pyannote[106].speaker SPEAKER_03
transcript.pyannote[106].start 2874.45096875
transcript.pyannote[106].end 2875.68284375
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 2877.25221875
transcript.pyannote[107].end 2878.28159375
transcript.pyannote[108].speaker SPEAKER_16
transcript.pyannote[108].start 2896.87784375
transcript.pyannote[108].end 2896.97909375
transcript.pyannote[109].speaker SPEAKER_09
transcript.pyannote[109].start 2896.97909375
transcript.pyannote[109].end 2897.02971875
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 2902.24409375
transcript.pyannote[110].end 2906.24346875
transcript.pyannote[111].speaker SPEAKER_04
transcript.pyannote[111].start 2905.95659375
transcript.pyannote[111].end 2906.59784375
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 2908.33596875
transcript.pyannote[112].end 2909.14596875
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 2915.40659375
transcript.pyannote[113].end 2916.06471875
transcript.pyannote[114].speaker SPEAKER_17
transcript.pyannote[114].start 2919.23721875
transcript.pyannote[114].end 2920.63784375
transcript.pyannote[115].speaker SPEAKER_17
transcript.pyannote[115].start 2921.98784375
transcript.pyannote[115].end 2924.53596875
transcript.pyannote[116].speaker SPEAKER_17
transcript.pyannote[116].start 2928.87284375
transcript.pyannote[116].end 2929.78409375
transcript.pyannote[117].speaker SPEAKER_17
transcript.pyannote[117].start 2932.04534375
transcript.pyannote[117].end 2937.83346875
transcript.pyannote[118].speaker SPEAKER_16
transcript.pyannote[118].start 2936.31471875
transcript.pyannote[118].end 2936.43284375
transcript.pyannote[119].speaker SPEAKER_17
transcript.pyannote[119].start 2938.25534375
transcript.pyannote[119].end 2941.20846875
transcript.pyannote[120].speaker SPEAKER_17
transcript.pyannote[120].start 2941.30971875
transcript.pyannote[120].end 2951.67096875
transcript.pyannote[121].speaker SPEAKER_17
transcript.pyannote[121].start 2952.51471875
transcript.pyannote[121].end 2953.88159375
transcript.pyannote[122].speaker SPEAKER_17
transcript.pyannote[122].start 2954.40471875
transcript.pyannote[122].end 2956.04159375
transcript.pyannote[123].speaker SPEAKER_04
transcript.pyannote[123].start 2955.04596875
transcript.pyannote[123].end 2957.79659375
transcript.pyannote[124].speaker SPEAKER_04
transcript.pyannote[124].start 2958.53909375
transcript.pyannote[124].end 2958.77534375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 2958.77534375
transcript.pyannote[125].end 2958.79221875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 2958.82596875
transcript.pyannote[126].end 2958.85971875
transcript.pyannote[127].speaker SPEAKER_16
transcript.pyannote[127].start 2958.85971875
transcript.pyannote[127].end 2959.41659375
transcript.pyannote[128].speaker SPEAKER_17
transcript.pyannote[128].start 2973.28784375
transcript.pyannote[128].end 2973.84471875
transcript.pyannote[129].speaker SPEAKER_17
transcript.pyannote[129].start 2974.18221875
transcript.pyannote[129].end 2977.00034375
transcript.pyannote[130].speaker SPEAKER_17
transcript.pyannote[130].start 2977.57409375
transcript.pyannote[130].end 2978.55284375
transcript.pyannote[131].speaker SPEAKER_17
transcript.pyannote[131].start 2978.99159375
transcript.pyannote[131].end 2980.13909375
transcript.pyannote[132].speaker SPEAKER_17
transcript.pyannote[132].start 2980.83096875
transcript.pyannote[132].end 2981.33721875
transcript.pyannote[133].speaker SPEAKER_17
transcript.pyannote[133].start 2988.05346875
transcript.pyannote[133].end 2989.30221875
transcript.pyannote[134].speaker SPEAKER_17
transcript.pyannote[134].start 2989.79159375
transcript.pyannote[134].end 2991.76596875
transcript.pyannote[135].speaker SPEAKER_17
transcript.pyannote[135].start 2992.10346875
transcript.pyannote[135].end 2992.62659375
transcript.pyannote[136].speaker SPEAKER_17
transcript.pyannote[136].start 2992.86284375
transcript.pyannote[136].end 2994.28034375
transcript.pyannote[137].speaker SPEAKER_16
transcript.pyannote[137].start 2994.55034375
transcript.pyannote[137].end 2994.76971875
transcript.pyannote[138].speaker SPEAKER_17
transcript.pyannote[138].start 2996.18721875
transcript.pyannote[138].end 2997.16596875
transcript.pyannote[139].speaker SPEAKER_17
transcript.pyannote[139].start 3000.72659375
transcript.pyannote[139].end 3002.75159375
transcript.pyannote[140].speaker SPEAKER_17
transcript.pyannote[140].start 3003.29159375
transcript.pyannote[140].end 3008.06721875
transcript.pyannote[141].speaker SPEAKER_17
transcript.pyannote[141].start 3008.35409375
transcript.pyannote[141].end 3009.04596875
transcript.pyannote[142].speaker SPEAKER_17
transcript.pyannote[142].start 3011.29034375
transcript.pyannote[142].end 3012.77534375
transcript.pyannote[143].speaker SPEAKER_17
transcript.pyannote[143].start 3015.13784375
transcript.pyannote[143].end 3019.44096875
transcript.pyannote[144].speaker SPEAKER_17
transcript.pyannote[144].start 3019.54221875
transcript.pyannote[144].end 3021.22971875
transcript.pyannote[145].speaker SPEAKER_16
transcript.pyannote[145].start 3019.91346875
transcript.pyannote[145].end 3020.28471875
transcript.pyannote[146].speaker SPEAKER_16
transcript.pyannote[146].start 3021.39846875
transcript.pyannote[146].end 3021.90471875
transcript.pyannote[147].speaker SPEAKER_17
transcript.pyannote[147].start 3022.42784375
transcript.pyannote[147].end 3024.23346875
transcript.pyannote[148].speaker SPEAKER_16
transcript.pyannote[148].start 3024.04784375
transcript.pyannote[148].end 3024.87471875
transcript.pyannote[149].speaker SPEAKER_17
transcript.pyannote[149].start 3025.02659375
transcript.pyannote[149].end 3029.48159375
transcript.pyannote[150].speaker SPEAKER_17
transcript.pyannote[150].start 3029.83596875
transcript.pyannote[150].end 3031.84409375
transcript.pyannote[151].speaker SPEAKER_17
transcript.pyannote[151].start 3031.91159375
transcript.pyannote[151].end 3036.31596875
transcript.pyannote[152].speaker SPEAKER_17
transcript.pyannote[152].start 3036.60284375
transcript.pyannote[152].end 3037.90221875
transcript.pyannote[153].speaker SPEAKER_17
transcript.pyannote[153].start 3038.86409375
transcript.pyannote[153].end 3041.73284375
transcript.pyannote[154].speaker SPEAKER_17
transcript.pyannote[154].start 3041.81721875
transcript.pyannote[154].end 3042.54284375
transcript.pyannote[155].speaker SPEAKER_17
transcript.pyannote[155].start 3044.06159375
transcript.pyannote[155].end 3045.71534375
transcript.pyannote[156].speaker SPEAKER_17
transcript.pyannote[156].start 3049.56284375
transcript.pyannote[156].end 3050.54159375
transcript.pyannote[157].speaker SPEAKER_17
transcript.pyannote[157].start 3052.38096875
transcript.pyannote[157].end 3053.29221875
transcript.pyannote[158].speaker SPEAKER_17
transcript.pyannote[158].start 3053.37659375
transcript.pyannote[158].end 3053.73096875
transcript.pyannote[159].speaker SPEAKER_17
transcript.pyannote[159].start 3055.67159375
transcript.pyannote[159].end 3058.91159375
transcript.pyannote[160].speaker SPEAKER_17
transcript.pyannote[160].start 3059.51909375
transcript.pyannote[160].end 3061.66221875
transcript.pyannote[161].speaker SPEAKER_17
transcript.pyannote[161].start 3062.42159375
transcript.pyannote[161].end 3064.15971875
transcript.pyannote[162].speaker SPEAKER_17
transcript.pyannote[162].start 3066.15096875
transcript.pyannote[162].end 3070.03221875
transcript.pyannote[163].speaker SPEAKER_17
transcript.pyannote[163].start 3072.79971875
transcript.pyannote[163].end 3073.60971875
transcript.pyannote[164].speaker SPEAKER_17
transcript.pyannote[164].start 3074.77409375
transcript.pyannote[164].end 3076.05659375
transcript.pyannote[165].speaker SPEAKER_17
transcript.pyannote[165].start 3077.35596875
transcript.pyannote[165].end 3085.06784375
transcript.pyannote[166].speaker SPEAKER_17
transcript.pyannote[166].start 3085.65846875
transcript.pyannote[166].end 3086.21534375
transcript.pyannote[167].speaker SPEAKER_17
transcript.pyannote[167].start 3086.72159375
transcript.pyannote[167].end 3087.91971875
transcript.pyannote[168].speaker SPEAKER_17
transcript.pyannote[168].start 3088.15596875
transcript.pyannote[168].end 3095.64846875
transcript.pyannote[169].speaker SPEAKER_17
transcript.pyannote[169].start 3096.61034375
transcript.pyannote[169].end 3099.85034375
transcript.pyannote[170].speaker SPEAKER_17
transcript.pyannote[170].start 3100.25534375
transcript.pyannote[170].end 3101.14971875
transcript.pyannote[171].speaker SPEAKER_17
transcript.pyannote[171].start 3101.43659375
transcript.pyannote[171].end 3102.51659375
transcript.pyannote[172].speaker SPEAKER_17
transcript.pyannote[172].start 3103.02284375
transcript.pyannote[172].end 3104.50784375
transcript.pyannote[173].speaker SPEAKER_17
transcript.pyannote[173].start 3104.72721875
transcript.pyannote[173].end 3105.38534375
transcript.pyannote[174].speaker SPEAKER_17
transcript.pyannote[174].start 3105.82409375
transcript.pyannote[174].end 3106.41471875
transcript.pyannote[175].speaker SPEAKER_17
transcript.pyannote[175].start 3106.85346875
transcript.pyannote[175].end 3108.16971875
transcript.pyannote[176].speaker SPEAKER_17
transcript.pyannote[176].start 3108.47346875
transcript.pyannote[176].end 3108.89534375
transcript.pyannote[177].speaker SPEAKER_17
transcript.pyannote[177].start 3109.26659375
transcript.pyannote[177].end 3109.67159375
transcript.pyannote[178].speaker SPEAKER_17
transcript.pyannote[178].start 3109.73909375
transcript.pyannote[178].end 3110.81909375
transcript.pyannote[179].speaker SPEAKER_17
transcript.pyannote[179].start 3112.16909375
transcript.pyannote[179].end 3112.94534375
transcript.pyannote[180].speaker SPEAKER_17
transcript.pyannote[180].start 3115.27409375
transcript.pyannote[180].end 3117.18096875
transcript.pyannote[181].speaker SPEAKER_17
transcript.pyannote[181].start 3120.72471875
transcript.pyannote[181].end 3121.43346875
transcript.pyannote[182].speaker SPEAKER_17
transcript.pyannote[182].start 3126.93471875
transcript.pyannote[182].end 3127.28909375
transcript.pyannote[183].speaker SPEAKER_17
transcript.pyannote[183].start 3127.99784375
transcript.pyannote[183].end 3128.79096875
transcript.pyannote[184].speaker SPEAKER_17
transcript.pyannote[184].start 3131.28846875
transcript.pyannote[184].end 3134.64659375
transcript.pyannote[185].speaker SPEAKER_17
transcript.pyannote[185].start 3136.41846875
transcript.pyannote[185].end 3137.07659375
transcript.pyannote[186].speaker SPEAKER_17
transcript.pyannote[186].start 3137.16096875
transcript.pyannote[186].end 3138.32534375
transcript.pyannote[187].speaker SPEAKER_17
transcript.pyannote[187].start 3138.98346875
transcript.pyannote[187].end 3139.50659375
transcript.pyannote[188].speaker SPEAKER_03
transcript.pyannote[188].start 3142.57784375
transcript.pyannote[188].end 3148.26471875
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 3148.55159375
transcript.pyannote[189].end 3165.61221875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 3165.71346875
transcript.pyannote[190].end 3222.29534375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 3221.53596875
transcript.pyannote[191].end 3221.92409375
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 3222.78471875
transcript.pyannote[192].end 3295.48221875
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 3296.98409375
transcript.pyannote[193].end 3297.00096875
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 3297.00096875
transcript.pyannote[194].end 3299.48159375
transcript.pyannote[195].speaker SPEAKER_03
transcript.pyannote[195].start 3299.83596875
transcript.pyannote[195].end 3320.87909375
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 3322.80284375
transcript.pyannote[196].end 3323.57909375
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 3323.22471875
transcript.pyannote[197].end 3324.33846875
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 3324.25409375
transcript.pyannote[198].end 3335.64471875
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 3324.60846875
transcript.pyannote[199].end 3324.86159375
transcript.pyannote[200].speaker SPEAKER_03
transcript.pyannote[200].start 3334.32846875
transcript.pyannote[200].end 3335.25659375
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 3336.21846875
transcript.pyannote[201].end 3337.66971875
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 3337.97346875
transcript.pyannote[202].end 3338.27721875
transcript.pyannote[203].speaker SPEAKER_03
transcript.pyannote[203].start 3338.12534375
transcript.pyannote[203].end 3340.03221875
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 3338.91846875
transcript.pyannote[204].end 3339.27284375
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 3339.59346875
transcript.pyannote[205].end 3341.33159375
transcript.pyannote[206].speaker SPEAKER_03
transcript.pyannote[206].start 3342.39471875
transcript.pyannote[206].end 3347.00159375
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 3354.44346875
transcript.pyannote[207].end 3354.96659375
transcript.pyannote[208].speaker SPEAKER_03
transcript.pyannote[208].start 3364.48409375
transcript.pyannote[208].end 3369.81659375
transcript.pyannote[209].speaker SPEAKER_03
transcript.pyannote[209].start 3370.10346875
transcript.pyannote[209].end 3372.93846875
transcript.pyannote[210].speaker SPEAKER_00
transcript.pyannote[210].start 3373.15784375
transcript.pyannote[210].end 3611.44971875
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 3612.02346875
transcript.pyannote[211].end 3667.47471875
transcript.pyannote[212].speaker SPEAKER_03
transcript.pyannote[212].start 3668.31846875
transcript.pyannote[212].end 3677.92034375
transcript.pyannote[213].speaker SPEAKER_23
transcript.pyannote[213].start 3678.51096875
transcript.pyannote[213].end 3682.86471875
transcript.pyannote[214].speaker SPEAKER_23
transcript.pyannote[214].start 3683.37096875
transcript.pyannote[214].end 3690.05346875
transcript.pyannote[215].speaker SPEAKER_23
transcript.pyannote[215].start 3690.42471875
transcript.pyannote[215].end 3706.32096875
transcript.pyannote[216].speaker SPEAKER_23
transcript.pyannote[216].start 3706.47284375
transcript.pyannote[216].end 3734.28284375
transcript.pyannote[217].speaker SPEAKER_23
transcript.pyannote[217].start 3734.56971875
transcript.pyannote[217].end 3738.72096875
transcript.pyannote[218].speaker SPEAKER_23
transcript.pyannote[218].start 3738.92346875
transcript.pyannote[218].end 3760.69221875
transcript.pyannote[219].speaker SPEAKER_23
transcript.pyannote[219].start 3760.96221875
transcript.pyannote[219].end 3764.70846875
transcript.pyannote[220].speaker SPEAKER_03
transcript.pyannote[220].start 3766.27784375
transcript.pyannote[220].end 3767.34096875
transcript.pyannote[221].speaker SPEAKER_23
transcript.pyannote[221].start 3766.56471875
transcript.pyannote[221].end 3767.30721875
transcript.pyannote[222].speaker SPEAKER_23
transcript.pyannote[222].start 3767.34096875
transcript.pyannote[222].end 3768.03284375
transcript.pyannote[223].speaker SPEAKER_03
transcript.pyannote[223].start 3768.03284375
transcript.pyannote[223].end 3768.77534375
transcript.pyannote[224].speaker SPEAKER_03
transcript.pyannote[224].start 3770.88471875
transcript.pyannote[224].end 3774.32721875
transcript.pyannote[225].speaker SPEAKER_05
transcript.pyannote[225].start 3773.34846875
transcript.pyannote[225].end 3775.17096875
transcript.pyannote[226].speaker SPEAKER_05
transcript.pyannote[226].start 3775.47471875
transcript.pyannote[226].end 3775.76159375
transcript.pyannote[227].speaker SPEAKER_03
transcript.pyannote[227].start 3776.23409375
transcript.pyannote[227].end 3778.37721875
transcript.pyannote[228].speaker SPEAKER_05
transcript.pyannote[228].start 3777.71909375
transcript.pyannote[228].end 3780.14909375
transcript.pyannote[229].speaker SPEAKER_05
transcript.pyannote[229].start 3780.35159375
transcript.pyannote[229].end 3780.99284375
transcript.pyannote[230].speaker SPEAKER_05
transcript.pyannote[230].start 3781.24596875
transcript.pyannote[230].end 3791.16846875
transcript.pyannote[231].speaker SPEAKER_05
transcript.pyannote[231].start 3791.53971875
transcript.pyannote[231].end 3807.67221875
transcript.pyannote[232].speaker SPEAKER_05
transcript.pyannote[232].start 3807.79034375
transcript.pyannote[232].end 3811.92471875
transcript.pyannote[233].speaker SPEAKER_05
transcript.pyannote[233].start 3812.31284375
transcript.pyannote[233].end 3813.34221875
transcript.pyannote[234].speaker SPEAKER_05
transcript.pyannote[234].start 3813.71346875
transcript.pyannote[234].end 3846.28221875
transcript.pyannote[235].speaker SPEAKER_03
transcript.pyannote[235].start 3846.28221875
transcript.pyannote[235].end 3858.83721875
transcript.pyannote[236].speaker SPEAKER_03
transcript.pyannote[236].start 3858.97221875
transcript.pyannote[236].end 3864.84471875
transcript.pyannote[237].speaker SPEAKER_03
transcript.pyannote[237].start 3865.36784375
transcript.pyannote[237].end 3874.83471875
transcript.pyannote[238].speaker SPEAKER_04
transcript.pyannote[238].start 3875.20596875
transcript.pyannote[238].end 3884.70659375
transcript.pyannote[239].speaker SPEAKER_04
transcript.pyannote[239].start 3885.06096875
transcript.pyannote[239].end 3902.93159375
transcript.pyannote[240].speaker SPEAKER_04
transcript.pyannote[240].start 3903.26909375
transcript.pyannote[240].end 3903.75846875
transcript.pyannote[241].speaker SPEAKER_04
transcript.pyannote[241].start 3904.38284375
transcript.pyannote[241].end 3916.49909375
transcript.pyannote[242].speaker SPEAKER_04
transcript.pyannote[242].start 3917.08971875
transcript.pyannote[242].end 3976.45596875
transcript.pyannote[243].speaker SPEAKER_04
transcript.pyannote[243].start 3976.64159375
transcript.pyannote[243].end 3982.39596875
transcript.pyannote[244].speaker SPEAKER_04
transcript.pyannote[244].start 3982.80096875
transcript.pyannote[244].end 3982.81784375
transcript.pyannote[245].speaker SPEAKER_04
transcript.pyannote[245].start 3982.88534375
transcript.pyannote[245].end 3989.56784375
transcript.pyannote[246].speaker SPEAKER_03
transcript.pyannote[246].start 3990.07409375
transcript.pyannote[246].end 4002.22409375
transcript.pyannote[247].speaker SPEAKER_03
transcript.pyannote[247].start 4002.89909375
transcript.pyannote[247].end 4013.63159375
transcript.pyannote[248].speaker SPEAKER_03
transcript.pyannote[248].start 4013.85096875
transcript.pyannote[248].end 4015.03221875
transcript.pyannote[249].speaker SPEAKER_03
transcript.pyannote[249].start 4015.26846875
transcript.pyannote[249].end 4017.36096875
transcript.pyannote[250].speaker SPEAKER_15
transcript.pyannote[250].start 4018.35659375
transcript.pyannote[250].end 4018.57596875
transcript.pyannote[251].speaker SPEAKER_15
transcript.pyannote[251].start 4019.26784375
transcript.pyannote[251].end 4030.10159375
transcript.pyannote[252].speaker SPEAKER_15
transcript.pyannote[252].start 4031.01284375
transcript.pyannote[252].end 4047.90471875
transcript.pyannote[253].speaker SPEAKER_15
transcript.pyannote[253].start 4048.44471875
transcript.pyannote[253].end 4062.14721875
transcript.pyannote[254].speaker SPEAKER_15
transcript.pyannote[254].start 4063.80096875
transcript.pyannote[254].end 4064.72909375
transcript.pyannote[255].speaker SPEAKER_15
transcript.pyannote[255].start 4071.61409375
transcript.pyannote[255].end 4073.68971875
transcript.pyannote[256].speaker SPEAKER_15
transcript.pyannote[256].start 4074.97221875
transcript.pyannote[256].end 4076.05221875
transcript.pyannote[257].speaker SPEAKER_15
transcript.pyannote[257].start 4076.72721875
transcript.pyannote[257].end 4079.57909375
transcript.pyannote[258].speaker SPEAKER_15
transcript.pyannote[258].start 4080.08534375
transcript.pyannote[258].end 4090.04159375
transcript.pyannote[259].speaker SPEAKER_15
transcript.pyannote[259].start 4092.03284375
transcript.pyannote[259].end 4094.91846875
transcript.pyannote[260].speaker SPEAKER_03
transcript.pyannote[260].start 4094.74971875
transcript.pyannote[260].end 4103.15346875
transcript.pyannote[261].speaker SPEAKER_10
transcript.pyannote[261].start 4094.91846875
transcript.pyannote[261].end 4094.95221875
transcript.pyannote[262].speaker SPEAKER_03
transcript.pyannote[262].start 4104.48659375
transcript.pyannote[262].end 4139.18159375
transcript.pyannote[263].speaker SPEAKER_02
transcript.pyannote[263].start 4141.45971875
transcript.pyannote[263].end 4224.87284375
transcript.pyannote[264].speaker SPEAKER_02
transcript.pyannote[264].start 4224.95721875
transcript.pyannote[264].end 4261.35659375
transcript.pyannote[265].speaker SPEAKER_02
transcript.pyannote[265].start 4261.98096875
transcript.pyannote[265].end 4262.55471875
transcript.pyannote[266].speaker SPEAKER_22
transcript.pyannote[266].start 4262.55471875
transcript.pyannote[266].end 4262.57159375
transcript.pyannote[267].speaker SPEAKER_02
transcript.pyannote[267].start 4262.57159375
transcript.pyannote[267].end 4262.87534375
transcript.pyannote[268].speaker SPEAKER_22
transcript.pyannote[268].start 4262.87534375
transcript.pyannote[268].end 4263.58409375
transcript.pyannote[269].speaker SPEAKER_02
transcript.pyannote[269].start 4264.25909375
transcript.pyannote[269].end 4264.27596875
transcript.pyannote[270].speaker SPEAKER_22
transcript.pyannote[270].start 4264.27596875
transcript.pyannote[270].end 4270.70534375
transcript.pyannote[271].speaker SPEAKER_22
transcript.pyannote[271].start 4270.92471875
transcript.pyannote[271].end 4285.28534375
transcript.pyannote[272].speaker SPEAKER_22
transcript.pyannote[272].start 4285.79159375
transcript.pyannote[272].end 4290.49971875
transcript.pyannote[273].speaker SPEAKER_22
transcript.pyannote[273].start 4290.78659375
transcript.pyannote[273].end 4350.54096875
transcript.pyannote[274].speaker SPEAKER_22
transcript.pyannote[274].start 4350.69284375
transcript.pyannote[274].end 4372.29284375
transcript.pyannote[275].speaker SPEAKER_22
transcript.pyannote[275].start 4372.81596875
transcript.pyannote[275].end 4384.74659375
transcript.pyannote[276].speaker SPEAKER_03
transcript.pyannote[276].start 4384.74659375
transcript.pyannote[276].end 4389.15096875
transcript.pyannote[277].speaker SPEAKER_03
transcript.pyannote[277].start 4389.64034375
transcript.pyannote[277].end 4394.90534375
transcript.pyannote[278].speaker SPEAKER_04
transcript.pyannote[278].start 4396.12034375
transcript.pyannote[278].end 4422.14159375
transcript.pyannote[279].speaker SPEAKER_04
transcript.pyannote[279].start 4422.34409375
transcript.pyannote[279].end 4445.59784375
transcript.pyannote[280].speaker SPEAKER_04
transcript.pyannote[280].start 4446.13784375
transcript.pyannote[280].end 4450.71096875
transcript.pyannote[281].speaker SPEAKER_03
transcript.pyannote[281].start 4453.66409375
transcript.pyannote[281].end 4455.65534375
transcript.pyannote[282].speaker SPEAKER_23
transcript.pyannote[282].start 4457.49471875
transcript.pyannote[282].end 4463.60346875
transcript.pyannote[283].speaker SPEAKER_23
transcript.pyannote[283].start 4463.97471875
transcript.pyannote[283].end 4467.04596875
transcript.pyannote[284].speaker SPEAKER_23
transcript.pyannote[284].start 4467.41721875
transcript.pyannote[284].end 4469.22284375
transcript.pyannote[285].speaker SPEAKER_23
transcript.pyannote[285].start 4469.57721875
transcript.pyannote[285].end 4471.60221875
transcript.pyannote[286].speaker SPEAKER_23
transcript.pyannote[286].start 4471.85534375
transcript.pyannote[286].end 4505.30159375
transcript.pyannote[287].speaker SPEAKER_23
transcript.pyannote[287].start 4505.68971875
transcript.pyannote[287].end 4526.47971875
transcript.pyannote[288].speaker SPEAKER_23
transcript.pyannote[288].start 4529.87159375
transcript.pyannote[288].end 4529.88846875
transcript.pyannote[289].speaker SPEAKER_03
transcript.pyannote[289].start 4529.88846875
transcript.pyannote[289].end 4531.77846875
transcript.pyannote[290].speaker SPEAKER_21
transcript.pyannote[290].start 4532.72346875
transcript.pyannote[290].end 4533.61784375
transcript.pyannote[291].speaker SPEAKER_21
transcript.pyannote[291].start 4534.34346875
transcript.pyannote[291].end 4562.37284375
transcript.pyannote[292].speaker SPEAKER_21
transcript.pyannote[292].start 4562.86221875
transcript.pyannote[292].end 4563.16596875
transcript.pyannote[293].speaker SPEAKER_21
transcript.pyannote[293].start 4563.87471875
transcript.pyannote[293].end 4572.36284375
transcript.pyannote[294].speaker SPEAKER_21
transcript.pyannote[294].start 4572.59909375
transcript.pyannote[294].end 4575.38346875
transcript.pyannote[295].speaker SPEAKER_21
transcript.pyannote[295].start 4575.80534375
transcript.pyannote[295].end 4577.61096875
transcript.pyannote[296].speaker SPEAKER_21
transcript.pyannote[296].start 4577.89784375
transcript.pyannote[296].end 4604.52659375
transcript.pyannote[297].speaker SPEAKER_21
transcript.pyannote[297].start 4604.84721875
transcript.pyannote[297].end 4607.61471875
transcript.pyannote[298].speaker SPEAKER_21
transcript.pyannote[298].start 4607.93534375
transcript.pyannote[298].end 4619.54534375
transcript.pyannote[299].speaker SPEAKER_21
transcript.pyannote[299].start 4619.83221875
transcript.pyannote[299].end 4625.31659375
transcript.pyannote[300].speaker SPEAKER_21
transcript.pyannote[300].start 4626.02534375
transcript.pyannote[300].end 4649.05971875
transcript.pyannote[301].speaker SPEAKER_21
transcript.pyannote[301].start 4649.86971875
transcript.pyannote[301].end 4657.39596875
transcript.pyannote[302].speaker SPEAKER_21
transcript.pyannote[302].start 4657.88534375
transcript.pyannote[302].end 4675.11471875
transcript.pyannote[303].speaker SPEAKER_21
transcript.pyannote[303].start 4675.23284375
transcript.pyannote[303].end 4677.83159375
transcript.pyannote[304].speaker SPEAKER_21
transcript.pyannote[304].start 4677.88221875
transcript.pyannote[304].end 4682.67471875
transcript.pyannote[305].speaker SPEAKER_21
transcript.pyannote[305].start 4683.41721875
transcript.pyannote[305].end 4691.04471875
transcript.pyannote[306].speaker SPEAKER_21
transcript.pyannote[306].start 4691.55096875
transcript.pyannote[306].end 4694.30159375
transcript.pyannote[307].speaker SPEAKER_21
transcript.pyannote[307].start 4694.72346875
transcript.pyannote[307].end 4704.13971875
transcript.pyannote[308].speaker SPEAKER_21
transcript.pyannote[308].start 4704.62909375
transcript.pyannote[308].end 4713.67409375
transcript.pyannote[309].speaker SPEAKER_21
transcript.pyannote[309].start 4713.87659375
transcript.pyannote[309].end 4716.18846875
transcript.pyannote[310].speaker SPEAKER_21
transcript.pyannote[310].start 4716.66096875
transcript.pyannote[310].end 4718.09534375
transcript.pyannote[311].speaker SPEAKER_21
transcript.pyannote[311].start 4718.38221875
transcript.pyannote[311].end 4722.48284375
transcript.pyannote[312].speaker SPEAKER_21
transcript.pyannote[312].start 4722.65159375
transcript.pyannote[312].end 4723.00596875
transcript.pyannote[313].speaker SPEAKER_21
transcript.pyannote[313].start 4723.61346875
transcript.pyannote[313].end 4764.77159375
transcript.pyannote[314].speaker SPEAKER_21
transcript.pyannote[314].start 4765.05846875
transcript.pyannote[314].end 4771.97721875
transcript.pyannote[315].speaker SPEAKER_21
transcript.pyannote[315].start 4772.58471875
transcript.pyannote[315].end 4788.90284375
transcript.pyannote[316].speaker SPEAKER_21
transcript.pyannote[316].start 4789.40909375
transcript.pyannote[316].end 4791.45096875
transcript.pyannote[317].speaker SPEAKER_21
transcript.pyannote[317].start 4791.83909375
transcript.pyannote[317].end 4795.38284375
transcript.pyannote[318].speaker SPEAKER_21
transcript.pyannote[318].start 4795.80471875
transcript.pyannote[318].end 4798.99409375
transcript.pyannote[319].speaker SPEAKER_21
transcript.pyannote[319].start 4799.41596875
transcript.pyannote[319].end 4800.58034375
transcript.pyannote[320].speaker SPEAKER_21
transcript.pyannote[320].start 4800.59721875
transcript.pyannote[320].end 4803.82034375
transcript.pyannote[321].speaker SPEAKER_21
transcript.pyannote[321].start 4803.83721875
transcript.pyannote[321].end 4805.10284375
transcript.pyannote[322].speaker SPEAKER_21
transcript.pyannote[322].start 4806.06471875
transcript.pyannote[322].end 4833.84096875
transcript.pyannote[323].speaker SPEAKER_21
transcript.pyannote[323].start 4834.14471875
transcript.pyannote[323].end 4839.40971875
transcript.pyannote[324].speaker SPEAKER_03
transcript.pyannote[324].start 4839.40971875
transcript.pyannote[324].end 4851.35721875
transcript.pyannote[325].speaker SPEAKER_21
transcript.pyannote[325].start 4839.46034375
transcript.pyannote[325].end 4839.54471875
transcript.pyannote[326].speaker SPEAKER_21
transcript.pyannote[326].start 4843.42596875
transcript.pyannote[326].end 4843.88159375
transcript.pyannote[327].speaker SPEAKER_00
transcript.pyannote[327].start 4844.94471875
transcript.pyannote[327].end 4845.07971875
transcript.pyannote[328].speaker SPEAKER_03
transcript.pyannote[328].start 4854.46221875
transcript.pyannote[328].end 4854.90096875
transcript.pyannote[329].speaker SPEAKER_03
transcript.pyannote[329].start 4857.29721875
transcript.pyannote[329].end 4865.07659375
transcript.pyannote[330].speaker SPEAKER_02
transcript.pyannote[330].start 4865.39721875
transcript.pyannote[330].end 4878.91409375
transcript.pyannote[331].speaker SPEAKER_02
transcript.pyannote[331].start 4879.67346875
transcript.pyannote[331].end 4891.99221875
transcript.pyannote[332].speaker SPEAKER_03
transcript.pyannote[332].start 4899.34971875
transcript.pyannote[332].end 4903.26471875
transcript.pyannote[333].speaker SPEAKER_03
transcript.pyannote[333].start 4903.56846875
transcript.pyannote[333].end 4906.58909375
transcript.pyannote[334].speaker SPEAKER_03
transcript.pyannote[334].start 4907.33159375
transcript.pyannote[334].end 4916.76471875
transcript.pyannote[335].speaker SPEAKER_03
transcript.pyannote[335].start 4917.64221875
transcript.pyannote[335].end 4921.20284375
transcript.pyannote[336].speaker SPEAKER_03
transcript.pyannote[336].start 4923.26159375
transcript.pyannote[336].end 4933.16721875
transcript.pyannote[337].speaker SPEAKER_03
transcript.pyannote[337].start 4933.36971875
transcript.pyannote[337].end 4934.55096875
transcript.pyannote[338].speaker SPEAKER_03
transcript.pyannote[338].start 4934.82096875
transcript.pyannote[338].end 4944.05159375
transcript.pyannote[339].speaker SPEAKER_03
transcript.pyannote[339].start 4945.40159375
transcript.pyannote[339].end 4945.84034375
transcript.pyannote[340].speaker SPEAKER_22
transcript.pyannote[340].start 4948.01721875
transcript.pyannote[340].end 4948.03409375
transcript.pyannote[341].speaker SPEAKER_20
transcript.pyannote[341].start 4948.05096875
transcript.pyannote[341].end 4948.28721875
transcript.pyannote[342].speaker SPEAKER_20
transcript.pyannote[342].start 4948.99596875
transcript.pyannote[342].end 4949.01284375
transcript.pyannote[343].speaker SPEAKER_03
transcript.pyannote[343].start 5033.89409375
transcript.pyannote[343].end 5036.47596875
transcript.pyannote[344].speaker SPEAKER_03
transcript.pyannote[344].start 5041.23471875
transcript.pyannote[344].end 5041.79159375
transcript.pyannote[345].speaker SPEAKER_03
transcript.pyannote[345].start 5044.08659375
transcript.pyannote[345].end 5049.26721875
transcript.pyannote[346].speaker SPEAKER_14
transcript.pyannote[346].start 5055.94971875
transcript.pyannote[346].end 5056.96221875
transcript.pyannote[347].speaker SPEAKER_14
transcript.pyannote[347].start 5057.23221875
transcript.pyannote[347].end 5062.81784375
transcript.pyannote[348].speaker SPEAKER_14
transcript.pyannote[348].start 5063.39159375
transcript.pyannote[348].end 5065.24784375
transcript.pyannote[349].speaker SPEAKER_14
transcript.pyannote[349].start 5065.78784375
transcript.pyannote[349].end 5066.31096875
transcript.pyannote[350].speaker SPEAKER_14
transcript.pyannote[350].start 5066.86784375
transcript.pyannote[350].end 5068.97721875
transcript.pyannote[351].speaker SPEAKER_14
transcript.pyannote[351].start 5069.28096875
transcript.pyannote[351].end 5073.41534375
transcript.pyannote[352].speaker SPEAKER_14
transcript.pyannote[352].start 5074.02284375
transcript.pyannote[352].end 5087.50596875
transcript.pyannote[353].speaker SPEAKER_14
transcript.pyannote[353].start 5088.40034375
transcript.pyannote[353].end 5093.95221875
transcript.pyannote[354].speaker SPEAKER_14
transcript.pyannote[354].start 5093.96909375
transcript.pyannote[354].end 5097.34409375
transcript.pyannote[355].speaker SPEAKER_14
transcript.pyannote[355].start 5098.01909375
transcript.pyannote[355].end 5099.47034375
transcript.pyannote[356].speaker SPEAKER_03
transcript.pyannote[356].start 5110.27034375
transcript.pyannote[356].end 5116.86846875
transcript.pyannote[357].speaker SPEAKER_16
transcript.pyannote[357].start 5117.86409375
transcript.pyannote[357].end 5119.12971875
transcript.pyannote[358].speaker SPEAKER_03
transcript.pyannote[358].start 5120.54721875
transcript.pyannote[358].end 5124.15846875
transcript.pyannote[359].speaker SPEAKER_03
transcript.pyannote[359].start 5126.97659375
transcript.pyannote[359].end 5128.68096875
transcript.pyannote[360].speaker SPEAKER_14
transcript.pyannote[360].start 5133.23721875
transcript.pyannote[360].end 5145.94409375
transcript.pyannote[361].speaker SPEAKER_14
transcript.pyannote[361].start 5147.73284375
transcript.pyannote[361].end 5150.92221875
transcript.pyannote[362].speaker SPEAKER_03
transcript.pyannote[362].start 5151.39471875
transcript.pyannote[362].end 5154.80346875
transcript.pyannote[363].speaker SPEAKER_03
transcript.pyannote[363].start 5156.38971875
transcript.pyannote[363].end 5156.81159375
transcript.pyannote[364].speaker SPEAKER_03
transcript.pyannote[364].start 5161.06409375
transcript.pyannote[364].end 5162.31284375
transcript.pyannote[365].speaker SPEAKER_03
transcript.pyannote[365].start 5163.61221875
transcript.pyannote[365].end 5164.43909375
transcript.pyannote[366].speaker SPEAKER_03
transcript.pyannote[366].start 5164.64159375
transcript.pyannote[366].end 5177.17971875
transcript.pyannote[367].speaker SPEAKER_17
transcript.pyannote[367].start 5178.49596875
transcript.pyannote[367].end 5181.16221875
transcript.pyannote[368].speaker SPEAKER_17
transcript.pyannote[368].start 5182.17471875
transcript.pyannote[368].end 5183.06909375
transcript.pyannote[369].speaker SPEAKER_17
transcript.pyannote[369].start 5184.60471875
transcript.pyannote[369].end 5189.59971875
transcript.pyannote[370].speaker SPEAKER_17
transcript.pyannote[370].start 5189.93721875
transcript.pyannote[370].end 5191.40534375
transcript.pyannote[371].speaker SPEAKER_17
transcript.pyannote[371].start 5191.55721875
transcript.pyannote[371].end 5192.55284375
transcript.pyannote[372].speaker SPEAKER_17
transcript.pyannote[372].start 5192.78909375
transcript.pyannote[372].end 5193.85221875
transcript.pyannote[373].speaker SPEAKER_17
transcript.pyannote[373].start 5194.00409375
transcript.pyannote[373].end 5196.78846875
transcript.pyannote[374].speaker SPEAKER_17
transcript.pyannote[374].start 5197.07534375
transcript.pyannote[374].end 5204.24721875
transcript.pyannote[375].speaker SPEAKER_17
transcript.pyannote[375].start 5204.63534375
transcript.pyannote[375].end 5205.91784375
transcript.pyannote[376].speaker SPEAKER_17
transcript.pyannote[376].start 5206.55909375
transcript.pyannote[376].end 5207.33534375
transcript.pyannote[377].speaker SPEAKER_17
transcript.pyannote[377].start 5208.29721875
transcript.pyannote[377].end 5209.27596875
transcript.pyannote[378].speaker SPEAKER_17
transcript.pyannote[378].start 5209.52909375
transcript.pyannote[378].end 5211.57096875
transcript.pyannote[379].speaker SPEAKER_17
transcript.pyannote[379].start 5211.94221875
transcript.pyannote[379].end 5213.02221875
transcript.pyannote[380].speaker SPEAKER_17
transcript.pyannote[380].start 5213.24159375
transcript.pyannote[380].end 5213.83221875
transcript.pyannote[381].speaker SPEAKER_17
transcript.pyannote[381].start 5214.52409375
transcript.pyannote[381].end 5216.61659375
transcript.pyannote[382].speaker SPEAKER_17
transcript.pyannote[382].start 5217.03846875
transcript.pyannote[382].end 5218.75971875
transcript.pyannote[383].speaker SPEAKER_17
transcript.pyannote[383].start 5218.99596875
transcript.pyannote[383].end 5221.18971875
transcript.pyannote[384].speaker SPEAKER_17
transcript.pyannote[384].start 5221.32471875
transcript.pyannote[384].end 5223.38346875
transcript.pyannote[385].speaker SPEAKER_17
transcript.pyannote[385].start 5223.63659375
transcript.pyannote[385].end 5224.19346875
transcript.pyannote[386].speaker SPEAKER_17
transcript.pyannote[386].start 5224.91909375
transcript.pyannote[386].end 5227.31534375
transcript.pyannote[387].speaker SPEAKER_17
transcript.pyannote[387].start 5227.34909375
transcript.pyannote[387].end 5229.67784375
transcript.pyannote[388].speaker SPEAKER_17
transcript.pyannote[388].start 5230.18409375
transcript.pyannote[388].end 5236.64721875
transcript.pyannote[389].speaker SPEAKER_17
transcript.pyannote[389].start 5237.62596875
transcript.pyannote[389].end 5248.45971875
transcript.pyannote[390].speaker SPEAKER_17
transcript.pyannote[390].start 5248.84784375
transcript.pyannote[390].end 5254.12971875
transcript.pyannote[391].speaker SPEAKER_17
transcript.pyannote[391].start 5254.29846875
transcript.pyannote[391].end 5255.93534375
transcript.pyannote[392].speaker SPEAKER_17
transcript.pyannote[392].start 5256.10409375
transcript.pyannote[392].end 5258.38221875
transcript.pyannote[393].speaker SPEAKER_17
transcript.pyannote[393].start 5258.68596875
transcript.pyannote[393].end 5261.23409375
transcript.pyannote[394].speaker SPEAKER_17
transcript.pyannote[394].start 5261.40284375
transcript.pyannote[394].end 5261.72346875
transcript.pyannote[395].speaker SPEAKER_17
transcript.pyannote[395].start 5261.82471875
transcript.pyannote[395].end 5262.95534375
transcript.pyannote[396].speaker SPEAKER_17
transcript.pyannote[396].start 5263.56284375
transcript.pyannote[396].end 5264.71034375
transcript.pyannote[397].speaker SPEAKER_17
transcript.pyannote[397].start 5264.94659375
transcript.pyannote[397].end 5265.60471875
transcript.pyannote[398].speaker SPEAKER_17
transcript.pyannote[398].start 5265.90846875
transcript.pyannote[398].end 5267.68034375
transcript.pyannote[399].speaker SPEAKER_17
transcript.pyannote[399].start 5268.01784375
transcript.pyannote[399].end 5268.82784375
transcript.pyannote[400].speaker SPEAKER_17
transcript.pyannote[400].start 5269.24971875
transcript.pyannote[400].end 5286.29346875
transcript.pyannote[401].speaker SPEAKER_17
transcript.pyannote[401].start 5286.34409375
transcript.pyannote[401].end 5290.79909375
transcript.pyannote[402].speaker SPEAKER_17
transcript.pyannote[402].start 5290.88346875
transcript.pyannote[402].end 5296.03034375
transcript.pyannote[403].speaker SPEAKER_17
transcript.pyannote[403].start 5296.82346875
transcript.pyannote[403].end 5297.66721875
transcript.pyannote[404].speaker SPEAKER_17
transcript.pyannote[404].start 5299.32096875
transcript.pyannote[404].end 5302.27409375
transcript.pyannote[405].speaker SPEAKER_17
transcript.pyannote[405].start 5302.57784375
transcript.pyannote[405].end 5305.88534375
transcript.pyannote[406].speaker SPEAKER_17
transcript.pyannote[406].start 5305.96971875
transcript.pyannote[406].end 5318.25471875
transcript.pyannote[407].speaker SPEAKER_17
transcript.pyannote[407].start 5318.77784375
transcript.pyannote[407].end 5322.49034375
transcript.pyannote[408].speaker SPEAKER_17
transcript.pyannote[408].start 5322.72659375
transcript.pyannote[408].end 5323.50284375
transcript.pyannote[409].speaker SPEAKER_03
transcript.pyannote[409].start 5324.31284375
transcript.pyannote[409].end 5329.37534375
transcript.pyannote[410].speaker SPEAKER_03
transcript.pyannote[410].start 5330.23596875
transcript.pyannote[410].end 5330.96159375
transcript.pyannote[411].speaker SPEAKER_03
transcript.pyannote[411].start 5332.58159375
transcript.pyannote[411].end 5333.03721875
transcript.pyannote[412].speaker SPEAKER_02
transcript.pyannote[412].start 5333.40846875
transcript.pyannote[412].end 5335.21409375
transcript.pyannote[413].speaker SPEAKER_03
transcript.pyannote[413].start 5335.66971875
transcript.pyannote[413].end 5336.83409375
transcript.pyannote[414].speaker SPEAKER_03
transcript.pyannote[414].start 5336.96909375
transcript.pyannote[414].end 5337.01971875
transcript.pyannote[415].speaker SPEAKER_03
transcript.pyannote[415].start 5337.08721875
transcript.pyannote[415].end 5341.39034375
transcript.pyannote[416].speaker SPEAKER_03
transcript.pyannote[416].start 5345.44034375
transcript.pyannote[416].end 5349.45659375
transcript.pyannote[417].speaker SPEAKER_03
transcript.pyannote[417].start 5349.76034375
transcript.pyannote[417].end 5351.19471875
transcript.pyannote[418].speaker SPEAKER_02
transcript.pyannote[418].start 5351.19471875
transcript.pyannote[418].end 5352.84846875
transcript.pyannote[419].speaker SPEAKER_03
transcript.pyannote[419].start 5352.84846875
transcript.pyannote[419].end 5361.96096875
transcript.pyannote[420].speaker SPEAKER_02
transcript.pyannote[420].start 5361.96096875
transcript.pyannote[420].end 5363.34471875
transcript.pyannote[421].speaker SPEAKER_02
transcript.pyannote[421].start 5363.58096875
transcript.pyannote[421].end 5365.03221875
transcript.pyannote[422].speaker SPEAKER_03
transcript.pyannote[422].start 5365.03221875
transcript.pyannote[422].end 5365.04909375
transcript.pyannote[423].speaker SPEAKER_18
transcript.pyannote[423].start 5365.04909375
transcript.pyannote[423].end 5365.08284375
transcript.pyannote[424].speaker SPEAKER_18
transcript.pyannote[424].start 5365.97721875
transcript.pyannote[424].end 5366.26409375
transcript.pyannote[425].speaker SPEAKER_18
transcript.pyannote[425].start 5366.97284375
transcript.pyannote[425].end 5370.43221875
transcript.pyannote[426].speaker SPEAKER_03
transcript.pyannote[426].start 5383.98284375
transcript.pyannote[426].end 5401.48221875
transcript.pyannote[427].speaker SPEAKER_03
transcript.pyannote[427].start 5402.14034375
transcript.pyannote[427].end 5402.95034375
transcript.pyannote[428].speaker SPEAKER_03
transcript.pyannote[428].start 5404.09784375
transcript.pyannote[428].end 5407.28721875
transcript.pyannote[429].speaker SPEAKER_03
transcript.pyannote[429].start 5408.68784375
transcript.pyannote[429].end 5409.59909375
transcript.pyannote[430].speaker SPEAKER_03
transcript.pyannote[430].start 5413.90221875
transcript.pyannote[430].end 5417.88471875
transcript.pyannote[431].speaker SPEAKER_03
transcript.pyannote[431].start 5418.30659375
transcript.pyannote[431].end 5422.47471875
transcript.pyannote[432].speaker SPEAKER_03
transcript.pyannote[432].start 6101.62596875
transcript.pyannote[432].end 6103.02659375
transcript.pyannote[433].speaker SPEAKER_03
transcript.pyannote[433].start 6109.42221875
transcript.pyannote[433].end 6112.29096875
transcript.pyannote[434].speaker SPEAKER_03
transcript.pyannote[434].start 6117.69096875
transcript.pyannote[434].end 6117.77534375
transcript.pyannote[435].speaker SPEAKER_23
transcript.pyannote[435].start 6117.77534375
transcript.pyannote[435].end 6117.94409375
transcript.pyannote[436].speaker SPEAKER_03
transcript.pyannote[436].start 6117.94409375
transcript.pyannote[436].end 6117.96096875
transcript.pyannote[437].speaker SPEAKER_05
transcript.pyannote[437].start 6122.11221875
transcript.pyannote[437].end 6123.73221875
transcript.pyannote[438].speaker SPEAKER_03
transcript.pyannote[438].start 6123.14159375
transcript.pyannote[438].end 6127.00596875
transcript.pyannote[439].speaker SPEAKER_03
transcript.pyannote[439].start 6138.53159375
transcript.pyannote[439].end 6155.60909375
transcript.pyannote[440].speaker SPEAKER_03
transcript.pyannote[440].start 6156.46971875
transcript.pyannote[440].end 6156.95909375
transcript.pyannote[441].speaker SPEAKER_16
transcript.pyannote[441].start 6157.58346875
transcript.pyannote[441].end 6159.76034375
transcript.pyannote[442].speaker SPEAKER_03
transcript.pyannote[442].start 6165.78471875
transcript.pyannote[442].end 6166.45971875
transcript.pyannote[443].speaker SPEAKER_03
transcript.pyannote[443].start 6170.98221875
transcript.pyannote[443].end 6172.09596875
transcript.pyannote[444].speaker SPEAKER_03
transcript.pyannote[444].start 6174.34034375
transcript.pyannote[444].end 6180.38159375
transcript.pyannote[445].speaker SPEAKER_03
transcript.pyannote[445].start 6181.73159375
transcript.pyannote[445].end 6182.79471875
transcript.pyannote[446].speaker SPEAKER_03
transcript.pyannote[446].start 6183.46971875
transcript.pyannote[446].end 6184.24596875
transcript.pyannote[447].speaker SPEAKER_03
transcript.pyannote[447].start 6184.58346875
transcript.pyannote[447].end 6185.47784375
transcript.pyannote[448].speaker SPEAKER_03
transcript.pyannote[448].start 6188.56596875
transcript.pyannote[448].end 6191.43471875
transcript.pyannote[449].speaker SPEAKER_03
transcript.pyannote[449].start 6192.09284375
transcript.pyannote[449].end 6193.08846875
transcript.pyannote[450].speaker SPEAKER_03
transcript.pyannote[450].start 6194.79284375
transcript.pyannote[450].end 6195.56909375
transcript.pyannote[451].speaker SPEAKER_03
transcript.pyannote[451].start 6195.97409375
transcript.pyannote[451].end 6198.35346875
transcript.pyannote[452].speaker SPEAKER_03
transcript.pyannote[452].start 6198.97784375
transcript.pyannote[452].end 6202.79159375
transcript.pyannote[453].speaker SPEAKER_03
transcript.pyannote[453].start 6205.86284375
transcript.pyannote[453].end 6222.33284375
transcript.pyannote[454].speaker SPEAKER_03
transcript.pyannote[454].start 6223.44659375
transcript.pyannote[454].end 6244.37159375
transcript.pyannote[455].speaker SPEAKER_03
transcript.pyannote[455].start 6246.26159375
transcript.pyannote[455].end 6265.41471875
transcript.pyannote[456].speaker SPEAKER_03
transcript.pyannote[456].start 6265.78596875
transcript.pyannote[456].end 6268.28346875
transcript.pyannote[457].speaker SPEAKER_03
transcript.pyannote[457].start 6269.38034375
transcript.pyannote[457].end 6270.37596875
transcript.pyannote[458].speaker SPEAKER_03
transcript.pyannote[458].start 6271.16909375
transcript.pyannote[458].end 6272.18159375
transcript.pyannote[459].speaker SPEAKER_17
transcript.pyannote[459].start 6275.05034375
transcript.pyannote[459].end 6277.05846875
transcript.pyannote[460].speaker SPEAKER_03
transcript.pyannote[460].start 6277.09221875
transcript.pyannote[460].end 6277.68284375
transcript.pyannote[461].speaker SPEAKER_17
transcript.pyannote[461].start 6279.21846875
transcript.pyannote[461].end 6279.75846875
transcript.pyannote[462].speaker SPEAKER_03
transcript.pyannote[462].start 6279.50534375
transcript.pyannote[462].end 6280.53471875
transcript.pyannote[463].speaker SPEAKER_17
transcript.pyannote[463].start 6281.41221875
transcript.pyannote[463].end 6283.48784375
transcript.pyannote[464].speaker SPEAKER_17
transcript.pyannote[464].start 6284.11221875
transcript.pyannote[464].end 6289.03971875
transcript.pyannote[465].speaker SPEAKER_17
transcript.pyannote[465].start 6289.44471875
transcript.pyannote[465].end 6292.39784375
transcript.pyannote[466].speaker SPEAKER_17
transcript.pyannote[466].start 6293.73096875
transcript.pyannote[466].end 6295.13159375
transcript.pyannote[467].speaker SPEAKER_17
transcript.pyannote[467].start 6296.76846875
transcript.pyannote[467].end 6299.14784375
transcript.pyannote[468].speaker SPEAKER_17
transcript.pyannote[468].start 6300.04221875
transcript.pyannote[468].end 6300.81846875
transcript.pyannote[469].speaker SPEAKER_17
transcript.pyannote[469].start 6301.44284375
transcript.pyannote[469].end 6303.48471875
transcript.pyannote[470].speaker SPEAKER_17
transcript.pyannote[470].start 6303.65346875
transcript.pyannote[470].end 6305.67846875
transcript.pyannote[471].speaker SPEAKER_17
transcript.pyannote[471].start 6305.72909375
transcript.pyannote[471].end 6308.49659375
transcript.pyannote[472].speaker SPEAKER_17
transcript.pyannote[472].start 6308.98596875
transcript.pyannote[472].end 6310.92659375
transcript.pyannote[473].speaker SPEAKER_16
transcript.pyannote[473].start 6317.49096875
transcript.pyannote[473].end 6317.52471875
transcript.pyannote[474].speaker SPEAKER_03
transcript.pyannote[474].start 6317.86221875
transcript.pyannote[474].end 6331.22721875
transcript.pyannote[475].speaker SPEAKER_03
transcript.pyannote[475].start 6333.62346875
transcript.pyannote[475].end 6334.19721875
transcript.pyannote[476].speaker SPEAKER_03
transcript.pyannote[476].start 6338.29784375
transcript.pyannote[476].end 6340.52534375
transcript.pyannote[477].speaker SPEAKER_03
transcript.pyannote[477].start 6340.69409375
transcript.pyannote[477].end 6342.07784375
transcript.pyannote[478].speaker SPEAKER_03
transcript.pyannote[478].start 6354.76784375
transcript.pyannote[478].end 6363.71159375
transcript.pyannote[479].speaker SPEAKER_03
transcript.pyannote[479].start 6364.55534375
transcript.pyannote[479].end 6365.93909375
transcript.pyannote[480].speaker SPEAKER_03
transcript.pyannote[480].start 6367.44096875
transcript.pyannote[480].end 6376.90784375
transcript.pyannote[481].speaker SPEAKER_03
transcript.pyannote[481].start 6378.35909375
transcript.pyannote[481].end 6381.70034375
transcript.pyannote[482].speaker SPEAKER_03
transcript.pyannote[482].start 6382.89846875
transcript.pyannote[482].end 6390.08721875
transcript.pyannote[483].speaker SPEAKER_03
transcript.pyannote[483].start 6390.86346875
transcript.pyannote[483].end 6399.19971875
transcript.pyannote[484].speaker SPEAKER_02
transcript.pyannote[484].start 6396.58409375
transcript.pyannote[484].end 6396.60096875
transcript.pyannote[485].speaker SPEAKER_02
transcript.pyannote[485].start 6398.72721875
transcript.pyannote[485].end 6398.87909375
transcript.pyannote[486].speaker SPEAKER_02
transcript.pyannote[486].start 6399.19971875
transcript.pyannote[486].end 6399.23346875
transcript.pyannote[487].speaker SPEAKER_03
transcript.pyannote[487].start 6399.23346875
transcript.pyannote[487].end 6399.33471875
transcript.pyannote[488].speaker SPEAKER_02
transcript.pyannote[488].start 6399.33471875
transcript.pyannote[488].end 6456.89534375
transcript.pyannote[489].speaker SPEAKER_02
transcript.pyannote[489].start 6457.13159375
transcript.pyannote[489].end 6465.99096875
transcript.pyannote[490].speaker SPEAKER_02
transcript.pyannote[490].start 6466.83471875
transcript.pyannote[490].end 6466.96971875
transcript.pyannote[491].speaker SPEAKER_03
transcript.pyannote[491].start 6466.96971875
transcript.pyannote[491].end 6467.00346875
transcript.pyannote[492].speaker SPEAKER_02
transcript.pyannote[492].start 6467.00346875
transcript.pyannote[492].end 6467.22284375
transcript.pyannote[493].speaker SPEAKER_03
transcript.pyannote[493].start 6467.22284375
transcript.pyannote[493].end 6467.54346875
transcript.pyannote[494].speaker SPEAKER_02
transcript.pyannote[494].start 6467.54346875
transcript.pyannote[494].end 6467.96534375
transcript.pyannote[495].speaker SPEAKER_03
transcript.pyannote[495].start 6467.96534375
transcript.pyannote[495].end 6478.66409375
transcript.pyannote[496].speaker SPEAKER_05
transcript.pyannote[496].start 6479.37284375
transcript.pyannote[496].end 6497.05784375
transcript.pyannote[497].speaker SPEAKER_05
transcript.pyannote[497].start 6497.56409375
transcript.pyannote[497].end 6504.55034375
transcript.pyannote[498].speaker SPEAKER_03
transcript.pyannote[498].start 6504.63471875
transcript.pyannote[498].end 6507.23346875
transcript.pyannote[499].speaker SPEAKER_05
transcript.pyannote[499].start 6507.01409375
transcript.pyannote[499].end 6508.16159375
transcript.pyannote[500].speaker SPEAKER_03
transcript.pyannote[500].start 6507.85784375
transcript.pyannote[500].end 6518.38784375
transcript.pyannote[501].speaker SPEAKER_03
transcript.pyannote[501].start 6518.96159375
transcript.pyannote[501].end 6520.00784375
transcript.pyannote[502].speaker SPEAKER_03
transcript.pyannote[502].start 6520.91909375
transcript.pyannote[502].end 6536.71409375
transcript.pyannote[503].speaker SPEAKER_03
transcript.pyannote[503].start 6538.75596875
transcript.pyannote[503].end 6541.55721875
transcript.pyannote[504].speaker SPEAKER_09
transcript.pyannote[504].start 6542.60346875
transcript.pyannote[504].end 6552.81284375
transcript.pyannote[505].speaker SPEAKER_09
transcript.pyannote[505].start 6553.60596875
transcript.pyannote[505].end 6568.16909375
transcript.pyannote[506].speaker SPEAKER_09
transcript.pyannote[506].start 6568.87784375
transcript.pyannote[506].end 6578.46284375
transcript.pyannote[507].speaker SPEAKER_09
transcript.pyannote[507].start 6579.17159375
transcript.pyannote[507].end 6626.62409375
transcript.pyannote[508].speaker SPEAKER_09
transcript.pyannote[508].start 6626.87721875
transcript.pyannote[508].end 6646.06409375
transcript.pyannote[509].speaker SPEAKER_09
transcript.pyannote[509].start 6646.33409375
transcript.pyannote[509].end 6653.42159375
transcript.pyannote[510].speaker SPEAKER_09
transcript.pyannote[510].start 6654.13034375
transcript.pyannote[510].end 6670.17846875
transcript.pyannote[511].speaker SPEAKER_03
transcript.pyannote[511].start 6671.96721875
transcript.pyannote[511].end 6678.43034375
transcript.pyannote[512].speaker SPEAKER_04
transcript.pyannote[512].start 6678.43034375
transcript.pyannote[512].end 6678.51471875
transcript.pyannote[513].speaker SPEAKER_04
transcript.pyannote[513].start 6678.71721875
transcript.pyannote[513].end 6682.44659375
transcript.pyannote[514].speaker SPEAKER_04
transcript.pyannote[514].start 6682.46346875
transcript.pyannote[514].end 6683.67846875
transcript.pyannote[515].speaker SPEAKER_04
transcript.pyannote[515].start 6683.96534375
transcript.pyannote[515].end 6708.72096875
transcript.pyannote[516].speaker SPEAKER_04
transcript.pyannote[516].start 6708.94034375
transcript.pyannote[516].end 6803.65971875
transcript.pyannote[517].speaker SPEAKER_00
transcript.pyannote[517].start 6786.29534375
transcript.pyannote[517].end 6786.49784375
transcript.pyannote[518].speaker SPEAKER_04
transcript.pyannote[518].start 6803.67659375
transcript.pyannote[518].end 6803.71034375
transcript.pyannote[519].speaker SPEAKER_04
transcript.pyannote[519].start 6803.98034375
transcript.pyannote[519].end 6849.37409375
transcript.pyannote[520].speaker SPEAKER_04
transcript.pyannote[520].start 6849.94784375
transcript.pyannote[520].end 6867.71721875
transcript.pyannote[521].speaker SPEAKER_04
transcript.pyannote[521].start 6868.17284375
transcript.pyannote[521].end 6996.55784375
transcript.pyannote[522].speaker SPEAKER_04
transcript.pyannote[522].start 6996.70971875
transcript.pyannote[522].end 7007.13846875
transcript.pyannote[523].speaker SPEAKER_04
transcript.pyannote[523].start 7007.17221875
transcript.pyannote[523].end 7047.82409375
transcript.pyannote[524].speaker SPEAKER_04
transcript.pyannote[524].start 7048.31346875
transcript.pyannote[524].end 7051.75596875
transcript.pyannote[525].speaker SPEAKER_04
transcript.pyannote[525].start 7052.98784375
transcript.pyannote[525].end 7069.64346875
transcript.pyannote[526].speaker SPEAKER_04
transcript.pyannote[526].start 7069.98096875
transcript.pyannote[526].end 7097.52096875
transcript.pyannote[527].speaker SPEAKER_04
transcript.pyannote[527].start 7097.53784375
transcript.pyannote[527].end 7104.32159375
transcript.pyannote[528].speaker SPEAKER_04
transcript.pyannote[528].start 7104.86159375
transcript.pyannote[528].end 7117.06221875
transcript.pyannote[529].speaker SPEAKER_04
transcript.pyannote[529].start 7117.36596875
transcript.pyannote[529].end 7140.78846875
transcript.pyannote[530].speaker SPEAKER_04
transcript.pyannote[530].start 7141.02471875
transcript.pyannote[530].end 7150.28909375
transcript.pyannote[531].speaker SPEAKER_03
transcript.pyannote[531].start 7151.82471875
transcript.pyannote[531].end 7190.67096875
transcript.pyannote[532].speaker SPEAKER_05
transcript.pyannote[532].start 7190.72159375
transcript.pyannote[532].end 7230.09096875
transcript.pyannote[533].speaker SPEAKER_05
transcript.pyannote[533].start 7230.36096875
transcript.pyannote[533].end 7260.34784375
transcript.pyannote[534].speaker SPEAKER_05
transcript.pyannote[534].start 7260.90471875
transcript.pyannote[534].end 7319.02221875
transcript.pyannote[535].speaker SPEAKER_05
transcript.pyannote[535].start 7319.74784375
transcript.pyannote[535].end 7326.93659375
transcript.pyannote[536].speaker SPEAKER_05
transcript.pyannote[536].start 7326.97034375
transcript.pyannote[536].end 7346.46096875
transcript.pyannote[537].speaker SPEAKER_05
transcript.pyannote[537].start 7346.78159375
transcript.pyannote[537].end 7368.66846875
transcript.pyannote[538].speaker SPEAKER_03
transcript.pyannote[538].start 7368.66846875
transcript.pyannote[538].end 7376.73471875
transcript.pyannote[539].speaker SPEAKER_03
transcript.pyannote[539].start 7377.10596875
transcript.pyannote[539].end 7399.56659375
transcript.pyannote[540].speaker SPEAKER_07
transcript.pyannote[540].start 7399.97159375
transcript.pyannote[540].end 7402.13159375
transcript.pyannote[541].speaker SPEAKER_07
transcript.pyannote[541].start 7402.62096875
transcript.pyannote[541].end 7410.61971875
transcript.pyannote[542].speaker SPEAKER_07
transcript.pyannote[542].start 7410.70409375
transcript.pyannote[542].end 7414.41659375
transcript.pyannote[543].speaker SPEAKER_07
transcript.pyannote[543].start 7414.78784375
transcript.pyannote[543].end 7419.02346875
transcript.pyannote[544].speaker SPEAKER_07
transcript.pyannote[544].start 7419.68159375
transcript.pyannote[544].end 7431.47721875
transcript.pyannote[545].speaker SPEAKER_07
transcript.pyannote[545].start 7432.15221875
transcript.pyannote[545].end 7439.74596875
transcript.pyannote[546].speaker SPEAKER_07
transcript.pyannote[546].start 7439.96534375
transcript.pyannote[546].end 7460.85659375
transcript.pyannote[547].speaker SPEAKER_07
transcript.pyannote[547].start 7461.31221875
transcript.pyannote[547].end 7477.57971875
transcript.pyannote[548].speaker SPEAKER_07
transcript.pyannote[548].start 7478.20409375
transcript.pyannote[548].end 7479.40221875
transcript.pyannote[549].speaker SPEAKER_07
transcript.pyannote[549].start 7479.58784375
transcript.pyannote[549].end 7481.42721875
transcript.pyannote[550].speaker SPEAKER_07
transcript.pyannote[550].start 7481.83221875
transcript.pyannote[550].end 7487.24909375
transcript.pyannote[551].speaker SPEAKER_07
transcript.pyannote[551].start 7487.89034375
transcript.pyannote[551].end 7492.76721875
transcript.pyannote[552].speaker SPEAKER_07
transcript.pyannote[552].start 7493.39159375
transcript.pyannote[552].end 7512.84846875
transcript.pyannote[553].speaker SPEAKER_07
transcript.pyannote[553].start 7513.69221875
transcript.pyannote[553].end 7522.73721875
transcript.pyannote[554].speaker SPEAKER_07
transcript.pyannote[554].start 7523.64846875
transcript.pyannote[554].end 7538.05971875
transcript.pyannote[555].speaker SPEAKER_07
transcript.pyannote[555].start 7538.66721875
transcript.pyannote[555].end 7546.49721875
transcript.pyannote[556].speaker SPEAKER_07
transcript.pyannote[556].start 7547.00346875
transcript.pyannote[556].end 7550.19284375
transcript.pyannote[557].speaker SPEAKER_07
transcript.pyannote[557].start 7550.63159375
transcript.pyannote[557].end 7565.00909375
transcript.pyannote[558].speaker SPEAKER_07
transcript.pyannote[558].start 7565.61659375
transcript.pyannote[558].end 7578.25596875
transcript.pyannote[559].speaker SPEAKER_07
transcript.pyannote[559].start 7578.71159375
transcript.pyannote[559].end 7580.85471875
transcript.pyannote[560].speaker SPEAKER_07
transcript.pyannote[560].start 7581.85034375
transcript.pyannote[560].end 7601.22284375
transcript.pyannote[561].speaker SPEAKER_07
transcript.pyannote[561].start 7602.13409375
transcript.pyannote[561].end 7613.22096875
transcript.pyannote[562].speaker SPEAKER_07
transcript.pyannote[562].start 7613.28846875
transcript.pyannote[562].end 7616.05596875
transcript.pyannote[563].speaker SPEAKER_03
transcript.pyannote[563].start 7620.47721875
transcript.pyannote[563].end 7621.33784375
transcript.pyannote[564].speaker SPEAKER_03
transcript.pyannote[564].start 7621.59096875
transcript.pyannote[564].end 7622.95784375
transcript.pyannote[565].speaker SPEAKER_03
transcript.pyannote[565].start 7622.97471875
transcript.pyannote[565].end 7623.00846875
transcript.pyannote[566].speaker SPEAKER_03
transcript.pyannote[566].start 7623.14346875
transcript.pyannote[566].end 7633.63971875
transcript.pyannote[567].speaker SPEAKER_11
transcript.pyannote[567].start 7633.04909375
transcript.pyannote[567].end 7645.51971875
transcript.pyannote[568].speaker SPEAKER_03
transcript.pyannote[568].start 7646.48159375
transcript.pyannote[568].end 7650.44721875
transcript.pyannote[569].speaker SPEAKER_03
transcript.pyannote[569].start 7653.41721875
transcript.pyannote[569].end 7655.66159375
transcript.pyannote[570].speaker SPEAKER_03
transcript.pyannote[570].start 7656.13409375
transcript.pyannote[570].end 7660.96034375
transcript.pyannote[571].speaker SPEAKER_03
transcript.pyannote[571].start 7661.71971875
transcript.pyannote[571].end 7679.64096875
transcript.pyannote[572].speaker SPEAKER_03
transcript.pyannote[572].start 7680.29909375
transcript.pyannote[572].end 7686.05346875
transcript.pyannote[573].speaker SPEAKER_03
transcript.pyannote[573].start 7688.75346875
transcript.pyannote[573].end 7691.36909375
transcript.pyannote[574].speaker SPEAKER_03
transcript.pyannote[574].start 7692.14534375
transcript.pyannote[574].end 7692.80346875
transcript.pyannote[575].speaker SPEAKER_03
transcript.pyannote[575].start 7698.49034375
transcript.pyannote[575].end 7702.92846875
transcript.pyannote[576].speaker SPEAKER_03
transcript.pyannote[576].start 7703.75534375
transcript.pyannote[576].end 7704.80159375
transcript.pyannote[577].speaker SPEAKER_08
transcript.pyannote[577].start 7705.79721875
transcript.pyannote[577].end 7774.66409375
transcript.pyannote[578].speaker SPEAKER_03
transcript.pyannote[578].start 7775.32221875
transcript.pyannote[578].end 7784.23221875
transcript.pyannote[579].speaker SPEAKER_03
transcript.pyannote[579].start 7784.60346875
transcript.pyannote[579].end 7797.85034375
transcript.pyannote[580].speaker SPEAKER_15
transcript.pyannote[580].start 7799.13284375
transcript.pyannote[580].end 7821.35721875
transcript.pyannote[581].speaker SPEAKER_15
transcript.pyannote[581].start 7821.59346875
transcript.pyannote[581].end 7829.77784375
transcript.pyannote[582].speaker SPEAKER_03
transcript.pyannote[582].start 7828.95096875
transcript.pyannote[582].end 7836.35909375
transcript.pyannote[583].speaker SPEAKER_15
transcript.pyannote[583].start 7830.46971875
transcript.pyannote[583].end 7831.00971875
transcript.pyannote[584].speaker SPEAKER_15
transcript.pyannote[584].start 7833.84471875
transcript.pyannote[584].end 7834.72221875
transcript.pyannote[585].speaker SPEAKER_15
transcript.pyannote[585].start 7836.35909375
transcript.pyannote[585].end 7837.57409375
transcript.pyannote[586].speaker SPEAKER_03
transcript.pyannote[586].start 7837.11846875
transcript.pyannote[586].end 7839.93659375
transcript.pyannote[587].speaker SPEAKER_15
transcript.pyannote[587].start 7838.99159375
transcript.pyannote[587].end 7842.53534375
transcript.pyannote[588].speaker SPEAKER_03
transcript.pyannote[588].start 7842.72096875
transcript.pyannote[588].end 7847.10846875
transcript.pyannote[589].speaker SPEAKER_02
transcript.pyannote[589].start 7851.25971875
transcript.pyannote[589].end 7851.27659375
transcript.pyannote[590].speaker SPEAKER_03
transcript.pyannote[590].start 7851.27659375
transcript.pyannote[590].end 7854.92159375
transcript.pyannote[591].speaker SPEAKER_02
transcript.pyannote[591].start 7851.63096875
transcript.pyannote[591].end 7852.72784375
transcript.pyannote[592].speaker SPEAKER_02
transcript.pyannote[592].start 7855.03971875
transcript.pyannote[592].end 7856.25471875
transcript.pyannote[593].speaker SPEAKER_02
transcript.pyannote[593].start 7856.47409375
transcript.pyannote[593].end 7861.89096875
transcript.pyannote[594].speaker SPEAKER_02
transcript.pyannote[594].start 7864.03409375
transcript.pyannote[594].end 7866.73409375
transcript.pyannote[595].speaker SPEAKER_02
transcript.pyannote[595].start 7867.81409375
transcript.pyannote[595].end 7871.10471875
transcript.pyannote[596].speaker SPEAKER_02
transcript.pyannote[596].start 7871.27346875
transcript.pyannote[596].end 7872.11721875
transcript.pyannote[597].speaker SPEAKER_02
transcript.pyannote[597].start 7872.21846875
transcript.pyannote[597].end 7875.35721875
transcript.pyannote[598].speaker SPEAKER_02
transcript.pyannote[598].start 7875.52596875
transcript.pyannote[598].end 7876.25159375
transcript.pyannote[599].speaker SPEAKER_02
transcript.pyannote[599].start 7876.63971875
transcript.pyannote[599].end 7883.25471875
transcript.pyannote[600].speaker SPEAKER_02
transcript.pyannote[600].start 7883.60909375
transcript.pyannote[600].end 7884.68909375
transcript.pyannote[601].speaker SPEAKER_02
transcript.pyannote[601].start 7884.99284375
transcript.pyannote[601].end 7901.49659375
transcript.pyannote[602].speaker SPEAKER_03
transcript.pyannote[602].start 7901.49659375
transcript.pyannote[602].end 7901.58096875
transcript.pyannote[603].speaker SPEAKER_03
transcript.pyannote[603].start 7902.71159375
transcript.pyannote[603].end 7908.63471875
transcript.pyannote[604].speaker SPEAKER_03
transcript.pyannote[604].start 7913.83221875
transcript.pyannote[604].end 7923.48471875
transcript.pyannote[605].speaker SPEAKER_03
transcript.pyannote[605].start 7924.32846875
transcript.pyannote[605].end 7927.24784375
transcript.pyannote[606].speaker SPEAKER_03
transcript.pyannote[606].start 7928.68221875
transcript.pyannote[606].end 7931.11221875
transcript.pyannote[607].speaker SPEAKER_03
transcript.pyannote[607].start 7932.42846875
transcript.pyannote[607].end 7942.68846875
transcript.pyannote[608].speaker SPEAKER_03
transcript.pyannote[608].start 7943.97096875
transcript.pyannote[608].end 7960.01909375
transcript.pyannote[609].speaker SPEAKER_03
transcript.pyannote[609].start 7960.74471875
transcript.pyannote[609].end 7965.65534375
transcript.pyannote[610].speaker SPEAKER_23
transcript.pyannote[610].start 7966.43159375
transcript.pyannote[610].end 7970.80221875
transcript.pyannote[611].speaker SPEAKER_03
transcript.pyannote[611].start 7970.80221875
transcript.pyannote[611].end 7970.81909375
transcript.pyannote[612].speaker SPEAKER_03
transcript.pyannote[612].start 7974.66659375
transcript.pyannote[612].end 7986.29346875
transcript.pyannote[613].speaker SPEAKER_00
transcript.pyannote[613].start 7977.07971875
transcript.pyannote[613].end 7979.29034375
transcript.pyannote[614].speaker SPEAKER_00
transcript.pyannote[614].start 7979.57721875
transcript.pyannote[614].end 7979.96534375
transcript.pyannote[615].speaker SPEAKER_03
transcript.pyannote[615].start 7990.02284375
transcript.pyannote[615].end 8003.18534375
transcript.pyannote[616].speaker SPEAKER_17
transcript.pyannote[616].start 8005.59846875
transcript.pyannote[616].end 8008.23096875
transcript.pyannote[617].speaker SPEAKER_17
transcript.pyannote[617].start 8009.41221875
transcript.pyannote[617].end 8010.27284375
transcript.pyannote[618].speaker SPEAKER_17
transcript.pyannote[618].start 8011.36971875
transcript.pyannote[618].end 8013.76596875
transcript.pyannote[619].speaker SPEAKER_17
transcript.pyannote[619].start 8014.69409375
transcript.pyannote[619].end 8016.07784375
transcript.pyannote[620].speaker SPEAKER_17
transcript.pyannote[620].start 8016.39846875
transcript.pyannote[620].end 8020.19534375
transcript.pyannote[621].speaker SPEAKER_17
transcript.pyannote[621].start 8020.29659375
transcript.pyannote[621].end 8021.17409375
transcript.pyannote[622].speaker SPEAKER_17
transcript.pyannote[622].start 8021.34284375
transcript.pyannote[622].end 8031.16409375
transcript.pyannote[623].speaker SPEAKER_17
transcript.pyannote[623].start 8031.95721875
transcript.pyannote[623].end 8032.76721875
transcript.pyannote[624].speaker SPEAKER_17
transcript.pyannote[624].start 8033.49284375
transcript.pyannote[624].end 8036.29409375
transcript.pyannote[625].speaker SPEAKER_17
transcript.pyannote[625].start 8036.71596875
transcript.pyannote[625].end 8038.06596875
transcript.pyannote[626].speaker SPEAKER_17
transcript.pyannote[626].start 8038.25159375
transcript.pyannote[626].end 8038.57221875
transcript.pyannote[627].speaker SPEAKER_17
transcript.pyannote[627].start 8038.99409375
transcript.pyannote[627].end 8040.49596875
transcript.pyannote[628].speaker SPEAKER_17
transcript.pyannote[628].start 8040.78284375
transcript.pyannote[628].end 8041.49159375
transcript.pyannote[629].speaker SPEAKER_17
transcript.pyannote[629].start 8041.87971875
transcript.pyannote[629].end 8042.77409375
transcript.pyannote[630].speaker SPEAKER_17
transcript.pyannote[630].start 8043.19596875
transcript.pyannote[630].end 8044.64721875
transcript.pyannote[631].speaker SPEAKER_17
transcript.pyannote[631].start 8044.93409375
transcript.pyannote[631].end 8045.62596875
transcript.pyannote[632].speaker SPEAKER_17
transcript.pyannote[632].start 8046.09846875
transcript.pyannote[632].end 8049.38909375
transcript.pyannote[633].speaker SPEAKER_17
transcript.pyannote[633].start 8049.52409375
transcript.pyannote[633].end 8051.76846875
transcript.pyannote[634].speaker SPEAKER_17
transcript.pyannote[634].start 8053.00034375
transcript.pyannote[634].end 8054.02971875
transcript.pyannote[635].speaker SPEAKER_17
transcript.pyannote[635].start 8054.40096875
transcript.pyannote[635].end 8065.50471875
transcript.pyannote[636].speaker SPEAKER_17
transcript.pyannote[636].start 8065.96034375
transcript.pyannote[636].end 8067.20909375
transcript.pyannote[637].speaker SPEAKER_17
transcript.pyannote[637].start 8067.76596875
transcript.pyannote[637].end 8069.45346875
transcript.pyannote[638].speaker SPEAKER_17
transcript.pyannote[638].start 8069.85846875
transcript.pyannote[638].end 8071.51221875
transcript.pyannote[639].speaker SPEAKER_17
transcript.pyannote[639].start 8071.84971875
transcript.pyannote[639].end 8073.90846875
transcript.pyannote[640].speaker SPEAKER_17
transcript.pyannote[640].start 8073.97596875
transcript.pyannote[640].end 8075.81534375
transcript.pyannote[641].speaker SPEAKER_17
transcript.pyannote[641].start 8077.41846875
transcript.pyannote[641].end 8078.76846875
transcript.pyannote[642].speaker SPEAKER_17
transcript.pyannote[642].start 8079.20721875
transcript.pyannote[642].end 8086.15971875
transcript.pyannote[643].speaker SPEAKER_17
transcript.pyannote[643].start 8086.42971875
transcript.pyannote[643].end 8096.08221875
transcript.pyannote[644].speaker SPEAKER_17
transcript.pyannote[644].start 8096.41971875
transcript.pyannote[644].end 8097.55034375
transcript.pyannote[645].speaker SPEAKER_17
transcript.pyannote[645].start 8097.80346875
transcript.pyannote[645].end 8099.82846875
transcript.pyannote[646].speaker SPEAKER_17
transcript.pyannote[646].start 8099.94659375
transcript.pyannote[646].end 8101.54971875
transcript.pyannote[647].speaker SPEAKER_17
transcript.pyannote[647].start 8102.03909375
transcript.pyannote[647].end 8104.06409375
transcript.pyannote[648].speaker SPEAKER_17
transcript.pyannote[648].start 8104.26659375
transcript.pyannote[648].end 8105.63346875
transcript.pyannote[649].speaker SPEAKER_17
transcript.pyannote[649].start 8107.67534375
transcript.pyannote[649].end 8108.70471875
transcript.pyannote[650].speaker SPEAKER_17
transcript.pyannote[650].start 8109.86909375
transcript.pyannote[650].end 8115.79221875
transcript.pyannote[651].speaker SPEAKER_17
transcript.pyannote[651].start 8116.06221875
transcript.pyannote[651].end 8116.51784375
transcript.pyannote[652].speaker SPEAKER_17
transcript.pyannote[652].start 8117.05784375
transcript.pyannote[652].end 8121.78284375
transcript.pyannote[653].speaker SPEAKER_17
transcript.pyannote[653].start 8122.13721875
transcript.pyannote[653].end 8123.30159375
transcript.pyannote[654].speaker SPEAKER_17
transcript.pyannote[654].start 8123.53784375
transcript.pyannote[654].end 8125.64721875
transcript.pyannote[655].speaker SPEAKER_17
transcript.pyannote[655].start 8126.38971875
transcript.pyannote[655].end 8128.66784375
transcript.pyannote[656].speaker SPEAKER_17
transcript.pyannote[656].start 8128.97159375
transcript.pyannote[656].end 8131.55346875
transcript.pyannote[657].speaker SPEAKER_17
transcript.pyannote[657].start 8132.19471875
transcript.pyannote[657].end 8132.66721875
transcript.pyannote[658].speaker SPEAKER_17
transcript.pyannote[658].start 8132.75159375
transcript.pyannote[658].end 8135.85659375
transcript.pyannote[659].speaker SPEAKER_17
transcript.pyannote[659].start 8138.23596875
transcript.pyannote[659].end 8139.11346875
transcript.pyannote[660].speaker SPEAKER_17
transcript.pyannote[660].start 8139.60284375
transcript.pyannote[660].end 8141.00346875
transcript.pyannote[661].speaker SPEAKER_17
transcript.pyannote[661].start 8141.72909375
transcript.pyannote[661].end 8143.23096875
transcript.pyannote[662].speaker SPEAKER_17
transcript.pyannote[662].start 8143.34909375
transcript.pyannote[662].end 8146.18409375
transcript.pyannote[663].speaker SPEAKER_17
transcript.pyannote[663].start 8146.47096875
transcript.pyannote[663].end 8149.37346875
transcript.pyannote[664].speaker SPEAKER_17
transcript.pyannote[664].start 8149.52534375
transcript.pyannote[664].end 8150.03159375
transcript.pyannote[665].speaker SPEAKER_17
transcript.pyannote[665].start 8150.70659375
transcript.pyannote[665].end 8153.57534375
transcript.pyannote[666].speaker SPEAKER_17
transcript.pyannote[666].start 8153.86221875
transcript.pyannote[666].end 8154.99284375
transcript.pyannote[667].speaker SPEAKER_17
transcript.pyannote[667].start 8155.71846875
transcript.pyannote[667].end 8159.88659375
transcript.pyannote[668].speaker SPEAKER_17
transcript.pyannote[668].start 8160.35909375
transcript.pyannote[668].end 8163.64971875
transcript.pyannote[669].speaker SPEAKER_17
transcript.pyannote[669].start 8164.61159375
transcript.pyannote[669].end 8165.23596875
transcript.pyannote[670].speaker SPEAKER_17
transcript.pyannote[670].start 8165.77596875
transcript.pyannote[670].end 8168.32409375
transcript.pyannote[671].speaker SPEAKER_17
transcript.pyannote[671].start 8168.77971875
transcript.pyannote[671].end 8169.97784375
transcript.pyannote[672].speaker SPEAKER_17
transcript.pyannote[672].start 8170.55159375
transcript.pyannote[672].end 8171.46284375
transcript.pyannote[673].speaker SPEAKER_17
transcript.pyannote[673].start 8171.61471875
transcript.pyannote[673].end 8174.06159375
transcript.pyannote[674].speaker SPEAKER_17
transcript.pyannote[674].start 8174.39909375
transcript.pyannote[674].end 8175.24284375
transcript.pyannote[675].speaker SPEAKER_17
transcript.pyannote[675].start 8175.96846875
transcript.pyannote[675].end 8180.32221875
transcript.pyannote[676].speaker SPEAKER_17
transcript.pyannote[676].start 8180.87909375
transcript.pyannote[676].end 8185.46909375
transcript.pyannote[677].speaker SPEAKER_17
transcript.pyannote[677].start 8185.68846875
transcript.pyannote[677].end 8186.29596875
transcript.pyannote[678].speaker SPEAKER_17
transcript.pyannote[678].start 8187.13971875
transcript.pyannote[678].end 8188.75971875
transcript.pyannote[679].speaker SPEAKER_17
transcript.pyannote[679].start 8193.50159375
transcript.pyannote[679].end 8194.36221875
transcript.pyannote[680].speaker SPEAKER_17
transcript.pyannote[680].start 8195.12159375
transcript.pyannote[680].end 8196.01596875
transcript.pyannote[681].speaker SPEAKER_17
transcript.pyannote[681].start 8196.28596875
transcript.pyannote[681].end 8196.35346875
transcript.pyannote[682].speaker SPEAKER_17
transcript.pyannote[682].start 8196.91034375
transcript.pyannote[682].end 8201.12909375
transcript.pyannote[683].speaker SPEAKER_17
transcript.pyannote[683].start 8201.65221875
transcript.pyannote[683].end 8202.91784375
transcript.pyannote[684].speaker SPEAKER_17
transcript.pyannote[684].start 8203.12034375
transcript.pyannote[684].end 8204.47034375
transcript.pyannote[685].speaker SPEAKER_17
transcript.pyannote[685].start 8204.87534375
transcript.pyannote[685].end 8206.14096875
transcript.pyannote[686].speaker SPEAKER_17
transcript.pyannote[686].start 8206.83284375
transcript.pyannote[686].end 8208.03096875
transcript.pyannote[687].speaker SPEAKER_17
transcript.pyannote[687].start 8208.82409375
transcript.pyannote[687].end 8210.30909375
transcript.pyannote[688].speaker SPEAKER_17
transcript.pyannote[688].start 8210.84909375
transcript.pyannote[688].end 8213.66721875
transcript.pyannote[689].speaker SPEAKER_17
transcript.pyannote[689].start 8214.05534375
transcript.pyannote[689].end 8214.96659375
transcript.pyannote[690].speaker SPEAKER_17
transcript.pyannote[690].start 8215.47284375
transcript.pyannote[690].end 8218.39221875
transcript.pyannote[691].speaker SPEAKER_17
transcript.pyannote[691].start 8218.86471875
transcript.pyannote[691].end 8219.92784375
transcript.pyannote[692].speaker SPEAKER_17
transcript.pyannote[692].start 8220.48471875
transcript.pyannote[692].end 8222.71221875
transcript.pyannote[693].speaker SPEAKER_17
transcript.pyannote[693].start 8223.04971875
transcript.pyannote[693].end 8223.45471875
transcript.pyannote[694].speaker SPEAKER_17
transcript.pyannote[694].start 8223.58971875
transcript.pyannote[694].end 8225.37846875
transcript.pyannote[695].speaker SPEAKER_17
transcript.pyannote[695].start 8225.59784375
transcript.pyannote[695].end 8227.25159375
transcript.pyannote[696].speaker SPEAKER_17
transcript.pyannote[696].start 8227.33596875
transcript.pyannote[696].end 8228.04471875
transcript.pyannote[697].speaker SPEAKER_17
transcript.pyannote[697].start 8229.88409375
transcript.pyannote[697].end 8239.24971875
transcript.pyannote[698].speaker SPEAKER_17
transcript.pyannote[698].start 8239.60409375
transcript.pyannote[698].end 8241.96659375
transcript.pyannote[699].speaker SPEAKER_17
transcript.pyannote[699].start 8242.10159375
transcript.pyannote[699].end 8245.54409375
transcript.pyannote[700].speaker SPEAKER_17
transcript.pyannote[700].start 8246.97846875
transcript.pyannote[700].end 8247.87284375
transcript.pyannote[701].speaker SPEAKER_17
transcript.pyannote[701].start 8250.48846875
transcript.pyannote[701].end 8255.70284375
transcript.pyannote[702].speaker SPEAKER_17
transcript.pyannote[702].start 8255.97284375
transcript.pyannote[702].end 8257.39034375
transcript.pyannote[703].speaker SPEAKER_17
transcript.pyannote[703].start 8257.66034375
transcript.pyannote[703].end 8258.48721875
transcript.pyannote[704].speaker SPEAKER_17
transcript.pyannote[704].start 8259.04409375
transcript.pyannote[704].end 8261.94659375
transcript.pyannote[705].speaker SPEAKER_17
transcript.pyannote[705].start 8262.36846875
transcript.pyannote[705].end 8264.20784375
transcript.pyannote[706].speaker SPEAKER_17
transcript.pyannote[706].start 8264.39346875
transcript.pyannote[706].end 8265.40596875
transcript.pyannote[707].speaker SPEAKER_17
transcript.pyannote[707].start 8265.52409375
transcript.pyannote[707].end 8267.02596875
transcript.pyannote[708].speaker SPEAKER_17
transcript.pyannote[708].start 8267.48159375
transcript.pyannote[708].end 8269.05096875
transcript.pyannote[709].speaker SPEAKER_17
transcript.pyannote[709].start 8271.32909375
transcript.pyannote[709].end 8272.10534375
transcript.pyannote[710].speaker SPEAKER_03
transcript.pyannote[710].start 8275.49721875
transcript.pyannote[710].end 8285.14971875
transcript.pyannote[711].speaker SPEAKER_03
transcript.pyannote[711].start 8286.78659375
transcript.pyannote[711].end 8291.44409375
transcript.pyannote[712].speaker SPEAKER_20
transcript.pyannote[712].start 8293.89096875
transcript.pyannote[712].end 8311.72784375
transcript.pyannote[713].speaker SPEAKER_20
transcript.pyannote[713].start 8312.62221875
transcript.pyannote[713].end 8316.60471875
transcript.pyannote[714].speaker SPEAKER_20
transcript.pyannote[714].start 8317.16159375
transcript.pyannote[714].end 8336.41596875
transcript.pyannote[715].speaker SPEAKER_00
transcript.pyannote[715].start 8320.60409375
transcript.pyannote[715].end 8320.63784375
transcript.pyannote[716].speaker SPEAKER_00
transcript.pyannote[716].start 8320.70534375
transcript.pyannote[716].end 8320.77284375
transcript.pyannote[717].speaker SPEAKER_20
transcript.pyannote[717].start 8337.58034375
transcript.pyannote[717].end 8337.96846875
transcript.pyannote[718].speaker SPEAKER_03
transcript.pyannote[718].start 8337.96846875
transcript.pyannote[718].end 8343.60471875
transcript.pyannote[719].speaker SPEAKER_03
transcript.pyannote[719].start 8346.11909375
transcript.pyannote[719].end 8352.49784375
transcript.pyannote[720].speaker SPEAKER_03
transcript.pyannote[720].start 8352.61596875
transcript.pyannote[720].end 8359.65284375
transcript.pyannote[721].speaker SPEAKER_03
transcript.pyannote[721].start 8360.20971875
transcript.pyannote[721].end 8363.04471875
transcript.pyannote[722].speaker SPEAKER_03
transcript.pyannote[722].start 8363.06159375
transcript.pyannote[722].end 8369.35596875
transcript.pyannote[723].speaker SPEAKER_20
transcript.pyannote[723].start 8375.27909375
transcript.pyannote[723].end 8375.76846875
transcript.pyannote[724].speaker SPEAKER_20
transcript.pyannote[724].start 8377.00034375
transcript.pyannote[724].end 8377.01721875
transcript.pyannote[725].speaker SPEAKER_03
transcript.pyannote[725].start 8377.01721875
transcript.pyannote[725].end 8396.05221875
transcript.pyannote[726].speaker SPEAKER_16
transcript.pyannote[726].start 8383.95284375
transcript.pyannote[726].end 8384.17221875
transcript.pyannote[727].speaker SPEAKER_12
transcript.pyannote[727].start 8397.14909375
transcript.pyannote[727].end 8397.30096875
transcript.pyannote[728].speaker SPEAKER_12
transcript.pyannote[728].start 8398.29659375
transcript.pyannote[728].end 8399.29221875
transcript.pyannote[729].speaker SPEAKER_12
transcript.pyannote[729].start 8399.37659375
transcript.pyannote[729].end 8399.41034375
transcript.pyannote[730].speaker SPEAKER_03
transcript.pyannote[730].start 8399.41034375
transcript.pyannote[730].end 8404.15221875
transcript.pyannote[731].speaker SPEAKER_12
transcript.pyannote[731].start 8399.42721875
transcript.pyannote[731].end 8400.20346875
transcript.pyannote[732].speaker SPEAKER_16
transcript.pyannote[732].start 8400.20346875
transcript.pyannote[732].end 8400.25409375
transcript.pyannote[733].speaker SPEAKER_03
transcript.pyannote[733].start 8404.38846875
transcript.pyannote[733].end 8414.41221875
transcript.pyannote[734].speaker SPEAKER_03
transcript.pyannote[734].start 8414.74971875
transcript.pyannote[734].end 8417.41596875
transcript.pyannote[735].speaker SPEAKER_03
transcript.pyannote[735].start 8418.24284375
transcript.pyannote[735].end 8429.11034375
transcript.pyannote[736].speaker SPEAKER_03
transcript.pyannote[736].start 8429.78534375
transcript.pyannote[736].end 8432.14784375
transcript.pyannote[737].speaker SPEAKER_02
transcript.pyannote[737].start 8433.97034375
transcript.pyannote[737].end 8434.24034375
transcript.pyannote[738].speaker SPEAKER_02
transcript.pyannote[738].start 8435.16846875
transcript.pyannote[738].end 8451.14909375
transcript.pyannote[739].speaker SPEAKER_02
transcript.pyannote[739].start 8451.28409375
transcript.pyannote[739].end 8452.51596875
transcript.pyannote[740].speaker SPEAKER_02
transcript.pyannote[740].start 8452.90409375
transcript.pyannote[740].end 8454.76034375
transcript.pyannote[741].speaker SPEAKER_02
transcript.pyannote[741].start 8455.04721875
transcript.pyannote[741].end 8456.17784375
transcript.pyannote[742].speaker SPEAKER_02
transcript.pyannote[742].start 8456.39721875
transcript.pyannote[742].end 8471.33159375
transcript.pyannote[743].speaker SPEAKER_05
transcript.pyannote[743].start 8471.39909375
transcript.pyannote[743].end 8492.32409375
transcript.pyannote[744].speaker SPEAKER_02
transcript.pyannote[744].start 8490.23159375
transcript.pyannote[744].end 8490.60284375
transcript.pyannote[745].speaker SPEAKER_02
transcript.pyannote[745].start 8491.95284375
transcript.pyannote[745].end 8504.05221875
transcript.pyannote[746].speaker SPEAKER_05
transcript.pyannote[746].start 8492.49284375
transcript.pyannote[746].end 8493.11721875
transcript.pyannote[747].speaker SPEAKER_02
transcript.pyannote[747].start 8504.44034375
transcript.pyannote[747].end 8509.26659375
transcript.pyannote[748].speaker SPEAKER_02
transcript.pyannote[748].start 8509.70534375
transcript.pyannote[748].end 8510.61659375
transcript.pyannote[749].speaker SPEAKER_05
transcript.pyannote[749].start 8509.89096875
transcript.pyannote[749].end 8519.02034375
transcript.pyannote[750].speaker SPEAKER_05
transcript.pyannote[750].start 8519.05409375
transcript.pyannote[750].end 8521.80471875
transcript.pyannote[751].speaker SPEAKER_03
transcript.pyannote[751].start 8522.19284375
transcript.pyannote[751].end 8531.20409375
transcript.pyannote[752].speaker SPEAKER_03
transcript.pyannote[752].start 8532.65534375
transcript.pyannote[752].end 8536.62096875
transcript.pyannote[753].speaker SPEAKER_02
transcript.pyannote[753].start 8536.62096875
transcript.pyannote[753].end 8536.63784375
transcript.pyannote[754].speaker SPEAKER_02
transcript.pyannote[754].start 8537.14409375
transcript.pyannote[754].end 8546.83034375
transcript.pyannote[755].speaker SPEAKER_03
transcript.pyannote[755].start 8544.46784375
transcript.pyannote[755].end 8552.43284375
transcript.pyannote[756].speaker SPEAKER_02
transcript.pyannote[756].start 8547.65721875
transcript.pyannote[756].end 8547.77534375
transcript.pyannote[757].speaker SPEAKER_02
transcript.pyannote[757].start 8547.79221875
transcript.pyannote[757].end 8547.80909375
transcript.pyannote[758].speaker SPEAKER_03
transcript.pyannote[758].start 8553.78284375
transcript.pyannote[758].end 8554.69409375
transcript.pyannote[759].speaker SPEAKER_03
transcript.pyannote[759].start 8557.22534375
transcript.pyannote[759].end 8559.14909375
transcript.pyannote[760].speaker SPEAKER_03
transcript.pyannote[760].start 8560.88721875
transcript.pyannote[760].end 8563.21596875
transcript.pyannote[761].speaker SPEAKER_03
transcript.pyannote[761].start 8563.50284375
transcript.pyannote[761].end 8564.05971875
transcript.pyannote[762].speaker SPEAKER_03
transcript.pyannote[762].start 8564.73471875
transcript.pyannote[762].end 8565.96659375
transcript.pyannote[763].speaker SPEAKER_02
transcript.pyannote[763].start 8565.96659375
transcript.pyannote[763].end 8566.00034375
transcript.pyannote[764].speaker SPEAKER_02
transcript.pyannote[764].start 8566.72596875
transcript.pyannote[764].end 8574.26909375
transcript.pyannote[765].speaker SPEAKER_03
transcript.pyannote[765].start 8574.26909375
transcript.pyannote[765].end 8575.77096875
transcript.pyannote[766].speaker SPEAKER_02
transcript.pyannote[766].start 8574.43784375
transcript.pyannote[766].end 8574.48846875
transcript.pyannote[767].speaker SPEAKER_03
transcript.pyannote[767].start 8577.47534375
transcript.pyannote[767].end 8580.61409375
transcript.pyannote[768].speaker SPEAKER_03
transcript.pyannote[768].start 8581.23846875
transcript.pyannote[768].end 8582.80784375
transcript.pyannote[769].speaker SPEAKER_03
transcript.pyannote[769].start 8585.25471875
transcript.pyannote[769].end 8588.07284375
transcript.pyannote[770].speaker SPEAKER_03
transcript.pyannote[770].start 8590.60409375
transcript.pyannote[770].end 8592.15659375
transcript.pyannote[771].speaker SPEAKER_03
transcript.pyannote[771].start 8594.11409375
transcript.pyannote[771].end 8601.82596875
transcript.pyannote[772].speaker SPEAKER_02
transcript.pyannote[772].start 8602.01159375
transcript.pyannote[772].end 8603.54721875
transcript.pyannote[773].speaker SPEAKER_03
transcript.pyannote[773].start 8603.54721875
transcript.pyannote[773].end 8607.59721875
transcript.pyannote[774].speaker SPEAKER_03
transcript.pyannote[774].start 8622.27846875
transcript.pyannote[774].end 8632.75784375
transcript.pyannote[775].speaker SPEAKER_03
transcript.pyannote[775].start 8634.78284375
transcript.pyannote[775].end 8635.81221875
transcript.pyannote[776].speaker SPEAKER_03
transcript.pyannote[776].start 8641.00971875
transcript.pyannote[776].end 8642.49471875
transcript.pyannote[777].speaker SPEAKER_17
transcript.pyannote[777].start 8642.98409375
transcript.pyannote[777].end 8644.72221875
transcript.pyannote[778].speaker SPEAKER_17
transcript.pyannote[778].start 8645.63346875
transcript.pyannote[778].end 8646.39284375
transcript.pyannote[779].speaker SPEAKER_17
transcript.pyannote[779].start 8647.64159375
transcript.pyannote[779].end 8648.50221875
transcript.pyannote[780].speaker SPEAKER_17
transcript.pyannote[780].start 8648.62034375
transcript.pyannote[780].end 8653.64909375
transcript.pyannote[781].speaker SPEAKER_16
transcript.pyannote[781].start 8651.75909375
transcript.pyannote[781].end 8653.05846875
transcript.pyannote[782].speaker SPEAKER_16
transcript.pyannote[782].start 8653.93596875
transcript.pyannote[782].end 8654.49284375
transcript.pyannote[783].speaker SPEAKER_17
transcript.pyannote[783].start 8654.49284375
transcript.pyannote[783].end 8654.54346875
transcript.pyannote[784].speaker SPEAKER_17
transcript.pyannote[784].start 8654.59409375
transcript.pyannote[784].end 8664.70221875
transcript.pyannote[785].speaker SPEAKER_17
transcript.pyannote[785].start 8665.81596875
transcript.pyannote[785].end 8666.28846875
transcript.pyannote[786].speaker SPEAKER_03
transcript.pyannote[786].start 8666.28846875
transcript.pyannote[786].end 8666.32221875
transcript.pyannote[787].speaker SPEAKER_03
transcript.pyannote[787].start 8666.98034375
transcript.pyannote[787].end 8674.91159375
transcript.pyannote[788].speaker SPEAKER_03
transcript.pyannote[788].start 8684.22659375
transcript.pyannote[788].end 8692.27596875
transcript.pyannote[789].speaker SPEAKER_03
transcript.pyannote[789].start 8692.39409375
transcript.pyannote[789].end 8694.36846875
transcript.pyannote[790].speaker SPEAKER_03
transcript.pyannote[790].start 8695.21221875
transcript.pyannote[790].end 8706.36659375
transcript.pyannote[791].speaker SPEAKER_03
transcript.pyannote[791].start 8706.60284375
transcript.pyannote[791].end 8707.51409375
transcript.pyannote[792].speaker SPEAKER_03
transcript.pyannote[792].start 8708.39159375
transcript.pyannote[792].end 8710.23096875
transcript.pyannote[793].speaker SPEAKER_03
transcript.pyannote[793].start 8711.32784375
transcript.pyannote[793].end 8720.60909375
transcript.pyannote[794].speaker SPEAKER_03
transcript.pyannote[794].start 8721.52034375
transcript.pyannote[794].end 8722.58346875
transcript.pyannote[795].speaker SPEAKER_03
transcript.pyannote[795].start 8724.37221875
transcript.pyannote[795].end 8729.01284375
transcript.pyannote[796].speaker SPEAKER_03
transcript.pyannote[796].start 8729.53596875
transcript.pyannote[796].end 8739.72846875
transcript.pyannote[797].speaker SPEAKER_03
transcript.pyannote[797].start 8744.77409375
transcript.pyannote[797].end 8766.61034375
transcript.pyannote[798].speaker SPEAKER_03
transcript.pyannote[798].start 8775.90846875
transcript.pyannote[798].end 8783.95784375
transcript.pyannote[799].speaker SPEAKER_03
transcript.pyannote[799].start 8784.46409375
transcript.pyannote[799].end 8786.38784375
transcript.pyannote[800].speaker SPEAKER_03
transcript.pyannote[800].start 8787.16409375
transcript.pyannote[800].end 8788.17659375
transcript.pyannote[801].speaker SPEAKER_04
transcript.pyannote[801].start 8787.83909375
transcript.pyannote[801].end 8826.33096875
transcript.pyannote[802].speaker SPEAKER_16
transcript.pyannote[802].start 8826.33096875
transcript.pyannote[802].end 8827.05659375
transcript.pyannote[803].speaker SPEAKER_04
transcript.pyannote[803].start 8827.05659375
transcript.pyannote[803].end 8869.09221875
transcript.pyannote[804].speaker SPEAKER_16
transcript.pyannote[804].start 8832.06846875
transcript.pyannote[804].end 8832.30471875
transcript.pyannote[805].speaker SPEAKER_04
transcript.pyannote[805].start 8869.64909375
transcript.pyannote[805].end 8882.11971875
transcript.pyannote[806].speaker SPEAKER_04
transcript.pyannote[806].start 8882.37284375
transcript.pyannote[806].end 8899.80471875
transcript.pyannote[807].speaker SPEAKER_04
transcript.pyannote[807].start 8899.92284375
transcript.pyannote[807].end 8927.64846875
transcript.pyannote[808].speaker SPEAKER_03
transcript.pyannote[808].start 8928.50909375
transcript.pyannote[808].end 8928.91409375
transcript.pyannote[809].speaker SPEAKER_03
transcript.pyannote[809].start 8929.75784375
transcript.pyannote[809].end 8930.07846875
transcript.pyannote[810].speaker SPEAKER_03
transcript.pyannote[810].start 8930.87159375
transcript.pyannote[810].end 8931.81659375
transcript.pyannote[811].speaker SPEAKER_03
transcript.pyannote[811].start 8933.28471875
transcript.pyannote[811].end 8935.46159375
transcript.pyannote[812].speaker SPEAKER_02
transcript.pyannote[812].start 8936.10284375
transcript.pyannote[812].end 8936.40659375
transcript.pyannote[813].speaker SPEAKER_02
transcript.pyannote[813].start 8937.06471875
transcript.pyannote[813].end 8937.89159375
transcript.pyannote[814].speaker SPEAKER_02
transcript.pyannote[814].start 8938.43159375
transcript.pyannote[814].end 8940.94596875
transcript.pyannote[815].speaker SPEAKER_02
transcript.pyannote[815].start 8940.96284375
transcript.pyannote[815].end 8941.01346875
transcript.pyannote[816].speaker SPEAKER_02
transcript.pyannote[816].start 8941.19909375
transcript.pyannote[816].end 8941.94159375
transcript.pyannote[817].speaker SPEAKER_02
transcript.pyannote[817].start 8942.46471875
transcript.pyannote[817].end 8959.74471875
transcript.pyannote[818].speaker SPEAKER_03
transcript.pyannote[818].start 8950.41284375
transcript.pyannote[818].end 8951.20596875
transcript.pyannote[819].speaker SPEAKER_03
transcript.pyannote[819].start 8952.65721875
transcript.pyannote[819].end 8956.11659375
transcript.pyannote[820].speaker SPEAKER_03
transcript.pyannote[820].start 8957.73659375
transcript.pyannote[820].end 8958.19221875
transcript.pyannote[821].speaker SPEAKER_02
transcript.pyannote[821].start 8959.94721875
transcript.pyannote[821].end 8960.04846875
transcript.pyannote[822].speaker SPEAKER_03
transcript.pyannote[822].start 8960.04846875
transcript.pyannote[822].end 8960.62221875
transcript.pyannote[823].speaker SPEAKER_02
transcript.pyannote[823].start 8960.62221875
transcript.pyannote[823].end 8960.65596875
transcript.pyannote[824].speaker SPEAKER_03
transcript.pyannote[824].start 8960.65596875
transcript.pyannote[824].end 8960.74034375
transcript.pyannote[825].speaker SPEAKER_02
transcript.pyannote[825].start 8960.74034375
transcript.pyannote[825].end 8960.82471875
transcript.pyannote[826].speaker SPEAKER_02
transcript.pyannote[826].start 8961.44909375
transcript.pyannote[826].end 8963.23784375
transcript.pyannote[827].speaker SPEAKER_04
transcript.pyannote[827].start 8961.98909375
transcript.pyannote[827].end 8962.02284375
transcript.pyannote[828].speaker SPEAKER_03
transcript.pyannote[828].start 8962.02284375
transcript.pyannote[828].end 8962.05659375
transcript.pyannote[829].speaker SPEAKER_04
transcript.pyannote[829].start 8962.05659375
transcript.pyannote[829].end 8962.14096875
transcript.pyannote[830].speaker SPEAKER_03
transcript.pyannote[830].start 8962.14096875
transcript.pyannote[830].end 8962.52909375
transcript.pyannote[831].speaker SPEAKER_04
transcript.pyannote[831].start 8962.52909375
transcript.pyannote[831].end 8962.54596875
transcript.pyannote[832].speaker SPEAKER_03
transcript.pyannote[832].start 8962.54596875
transcript.pyannote[832].end 8963.18721875
transcript.pyannote[833].speaker SPEAKER_04
transcript.pyannote[833].start 8963.18721875
transcript.pyannote[833].end 8965.68471875
transcript.pyannote[834].speaker SPEAKER_03
transcript.pyannote[834].start 8963.23784375
transcript.pyannote[834].end 8963.47409375
transcript.pyannote[835].speaker SPEAKER_02
transcript.pyannote[835].start 8963.47409375
transcript.pyannote[835].end 8963.52471875
transcript.pyannote[836].speaker SPEAKER_03
transcript.pyannote[836].start 8963.52471875
transcript.pyannote[836].end 8964.06471875
transcript.pyannote[837].speaker SPEAKER_03
transcript.pyannote[837].start 8965.41471875
transcript.pyannote[837].end 8971.38846875
transcript.pyannote[838].speaker SPEAKER_02
transcript.pyannote[838].start 8971.72596875
transcript.pyannote[838].end 8974.30784375
transcript.pyannote[839].speaker SPEAKER_03
transcript.pyannote[839].start 8972.45159375
transcript.pyannote[839].end 8972.87346875
transcript.pyannote[840].speaker SPEAKER_02
transcript.pyannote[840].start 8976.38346875
transcript.pyannote[840].end 8977.41284375
transcript.pyannote[841].speaker SPEAKER_22
transcript.pyannote[841].start 8977.09221875
transcript.pyannote[841].end 8977.12596875
transcript.pyannote[842].speaker SPEAKER_02
transcript.pyannote[842].start 8977.48034375
transcript.pyannote[842].end 8981.42909375
transcript.pyannote[843].speaker SPEAKER_02
transcript.pyannote[843].start 8983.87596875
transcript.pyannote[843].end 8983.97721875
transcript.pyannote[844].speaker SPEAKER_03
transcript.pyannote[844].start 8983.97721875
transcript.pyannote[844].end 8988.17909375
transcript.pyannote[845].speaker SPEAKER_02
transcript.pyannote[845].start 8987.48721875
transcript.pyannote[845].end 8989.66409375
transcript.pyannote[846].speaker SPEAKER_03
transcript.pyannote[846].start 8991.09846875
transcript.pyannote[846].end 8992.90409375
transcript.pyannote[847].speaker SPEAKER_02
transcript.pyannote[847].start 8992.78596875
transcript.pyannote[847].end 8993.20784375
transcript.pyannote[848].speaker SPEAKER_11
transcript.pyannote[848].start 9000.68346875
transcript.pyannote[848].end 9004.29471875
transcript.pyannote[849].speaker SPEAKER_16
transcript.pyannote[849].start 9004.29471875
transcript.pyannote[849].end 9004.31159375
transcript.pyannote[850].speaker SPEAKER_22
transcript.pyannote[850].start 9004.31159375
transcript.pyannote[850].end 9004.32846875
transcript.pyannote[851].speaker SPEAKER_16
transcript.pyannote[851].start 9004.32846875
transcript.pyannote[851].end 9004.95284375
transcript.pyannote[852].speaker SPEAKER_22
transcript.pyannote[852].start 9004.95284375
transcript.pyannote[852].end 9004.96971875
transcript.pyannote[853].speaker SPEAKER_11
transcript.pyannote[853].start 9004.96971875
transcript.pyannote[853].end 9006.03284375
transcript.pyannote[854].speaker SPEAKER_16
transcript.pyannote[854].start 9005.13846875
transcript.pyannote[854].end 9006.33659375
transcript.pyannote[855].speaker SPEAKER_11
transcript.pyannote[855].start 9006.33659375
transcript.pyannote[855].end 9006.35346875
transcript.pyannote[856].speaker SPEAKER_16
transcript.pyannote[856].start 9006.35346875
transcript.pyannote[856].end 9006.55596875
transcript.pyannote[857].speaker SPEAKER_16
transcript.pyannote[857].start 9006.58971875
transcript.pyannote[857].end 9007.09596875
transcript.pyannote[858].speaker SPEAKER_19
transcript.pyannote[858].start 9007.09596875
transcript.pyannote[858].end 9007.21409375
transcript.pyannote[859].speaker SPEAKER_04
transcript.pyannote[859].start 9011.83784375
transcript.pyannote[859].end 9011.87159375
transcript.pyannote[860].speaker SPEAKER_03
transcript.pyannote[860].start 9011.87159375
transcript.pyannote[860].end 9012.49596875
transcript.pyannote[861].speaker SPEAKER_04
transcript.pyannote[861].start 9013.44096875
transcript.pyannote[861].end 9016.56284375
transcript.pyannote[862].speaker SPEAKER_03
transcript.pyannote[862].start 9018.25034375
transcript.pyannote[862].end 9023.97096875
transcript.pyannote[863].speaker SPEAKER_03
transcript.pyannote[863].start 9024.37596875
transcript.pyannote[863].end 9027.22784375
transcript.pyannote[864].speaker SPEAKER_03
transcript.pyannote[864].start 9029.96159375
transcript.pyannote[864].end 9034.63596875
transcript.pyannote[865].speaker SPEAKER_03
transcript.pyannote[865].start 9035.09159375
transcript.pyannote[865].end 9036.40784375
transcript.pyannote[866].speaker SPEAKER_03
transcript.pyannote[866].start 9038.93909375
transcript.pyannote[866].end 9041.26784375
transcript.pyannote[867].speaker SPEAKER_16
transcript.pyannote[867].start 9042.28034375
transcript.pyannote[867].end 9042.49971875
transcript.pyannote[868].speaker SPEAKER_03
transcript.pyannote[868].start 9046.38096875
transcript.pyannote[868].end 9049.51971875
transcript.pyannote[869].speaker SPEAKER_03
transcript.pyannote[869].start 9050.44784375
transcript.pyannote[869].end 9058.32846875
transcript.pyannote[870].speaker SPEAKER_03
transcript.pyannote[870].start 9059.37471875
transcript.pyannote[870].end 9060.92721875
transcript.pyannote[871].speaker SPEAKER_03
transcript.pyannote[871].start 9061.72034375
transcript.pyannote[871].end 9062.07471875
transcript.pyannote[872].speaker SPEAKER_03
transcript.pyannote[872].start 9062.51346875
transcript.pyannote[872].end 9066.58034375
transcript.pyannote[873].speaker SPEAKER_03
transcript.pyannote[873].start 9067.96409375
transcript.pyannote[873].end 9068.57159375
transcript.pyannote[874].speaker SPEAKER_03
transcript.pyannote[874].start 9069.92159375
transcript.pyannote[874].end 9071.27159375
transcript.pyannote[875].speaker SPEAKER_03
transcript.pyannote[875].start 9072.41909375
transcript.pyannote[875].end 9073.31346875
transcript.pyannote[876].speaker SPEAKER_03
transcript.pyannote[876].start 9074.10659375
transcript.pyannote[876].end 9076.41846875
transcript.pyannote[877].speaker SPEAKER_03
transcript.pyannote[877].start 9076.97534375
transcript.pyannote[877].end 9078.27471875
transcript.pyannote[878].speaker SPEAKER_03
transcript.pyannote[878].start 9078.88221875
transcript.pyannote[878].end 9080.65409375
transcript.pyannote[879].speaker SPEAKER_04
transcript.pyannote[879].start 9083.92784375
transcript.pyannote[879].end 9086.88096875
transcript.pyannote[880].speaker SPEAKER_03
transcript.pyannote[880].start 9086.39159375
transcript.pyannote[880].end 9089.58096875
transcript.pyannote[881].speaker SPEAKER_04
transcript.pyannote[881].start 9089.42909375
transcript.pyannote[881].end 9102.89534375
transcript.pyannote[882].speaker SPEAKER_03
transcript.pyannote[882].start 9095.30159375
transcript.pyannote[882].end 9095.80784375
transcript.pyannote[883].speaker SPEAKER_03
transcript.pyannote[883].start 9102.79409375
transcript.pyannote[883].end 9118.69034375
transcript.pyannote[884].speaker SPEAKER_04
transcript.pyannote[884].start 9104.27909375
transcript.pyannote[884].end 9104.58284375
transcript.pyannote[885].speaker SPEAKER_04
transcript.pyannote[885].start 9106.00034375
transcript.pyannote[885].end 9106.28721875
transcript.pyannote[886].speaker SPEAKER_02
transcript.pyannote[886].start 9111.83909375
transcript.pyannote[886].end 9112.78409375
transcript.pyannote[887].speaker SPEAKER_02
transcript.pyannote[887].start 9119.43284375
transcript.pyannote[887].end 9125.98034375
transcript.pyannote[888].speaker SPEAKER_02
transcript.pyannote[888].start 9126.46971875
transcript.pyannote[888].end 9149.09909375
transcript.pyannote[889].speaker SPEAKER_02
transcript.pyannote[889].start 9149.25096875
transcript.pyannote[889].end 9152.74409375
transcript.pyannote[890].speaker SPEAKER_02
transcript.pyannote[890].start 9152.92971875
transcript.pyannote[890].end 9155.78159375
transcript.pyannote[891].speaker SPEAKER_03
transcript.pyannote[891].start 9155.57909375
transcript.pyannote[891].end 9158.24534375
transcript.pyannote[892].speaker SPEAKER_03
transcript.pyannote[892].start 9158.56596875
transcript.pyannote[892].end 9159.17346875
transcript.pyannote[893].speaker SPEAKER_03
transcript.pyannote[893].start 9160.54034375
transcript.pyannote[893].end 9161.18159375
transcript.pyannote[894].speaker SPEAKER_16
transcript.pyannote[894].start 9162.86909375
transcript.pyannote[894].end 9163.13909375
transcript.pyannote[895].speaker SPEAKER_03
transcript.pyannote[895].start 9164.01659375
transcript.pyannote[895].end 9172.01534375
transcript.pyannote[896].speaker SPEAKER_03
transcript.pyannote[896].start 9172.80846875
transcript.pyannote[896].end 9174.54659375
transcript.pyannote[897].speaker SPEAKER_03
transcript.pyannote[897].start 9174.91784375
transcript.pyannote[897].end 9183.00096875
transcript.pyannote[898].speaker SPEAKER_03
transcript.pyannote[898].start 9183.79409375
transcript.pyannote[898].end 9184.48596875
transcript.pyannote[899].speaker SPEAKER_03
transcript.pyannote[899].start 9185.00909375
transcript.pyannote[899].end 9185.73471875
transcript.pyannote[900].speaker SPEAKER_03
transcript.pyannote[900].start 9186.10596875
transcript.pyannote[900].end 9196.02846875
transcript.pyannote[901].speaker SPEAKER_03
transcript.pyannote[901].start 9196.43346875
transcript.pyannote[901].end 9197.26034375
transcript.pyannote[902].speaker SPEAKER_03
transcript.pyannote[902].start 9197.53034375
transcript.pyannote[902].end 9201.14159375
transcript.pyannote[903].speaker SPEAKER_03
transcript.pyannote[903].start 9202.86284375
transcript.pyannote[903].end 9205.17471875
transcript.pyannote[904].speaker SPEAKER_03
transcript.pyannote[904].start 9205.90034375
transcript.pyannote[904].end 9208.00971875
transcript.pyannote[905].speaker SPEAKER_07
transcript.pyannote[905].start 9208.19534375
transcript.pyannote[905].end 9209.42721875
transcript.pyannote[906].speaker SPEAKER_07
transcript.pyannote[906].start 9209.81534375
transcript.pyannote[906].end 9220.39596875
transcript.pyannote[907].speaker SPEAKER_07
transcript.pyannote[907].start 9220.78409375
transcript.pyannote[907].end 9223.23096875
transcript.pyannote[908].speaker SPEAKER_07
transcript.pyannote[908].start 9223.41659375
transcript.pyannote[908].end 9233.25471875
transcript.pyannote[909].speaker SPEAKER_07
transcript.pyannote[909].start 9233.79471875
transcript.pyannote[909].end 9261.55409375
transcript.pyannote[910].speaker SPEAKER_07
transcript.pyannote[910].start 9261.89159375
transcript.pyannote[910].end 9262.21221875
transcript.pyannote[911].speaker SPEAKER_07
transcript.pyannote[911].start 9262.43159375
transcript.pyannote[911].end 9263.12346875
transcript.pyannote[912].speaker SPEAKER_07
transcript.pyannote[912].start 9263.51159375
transcript.pyannote[912].end 9264.01784375
transcript.pyannote[913].speaker SPEAKER_07
transcript.pyannote[913].start 9264.32159375
transcript.pyannote[913].end 9264.94596875
transcript.pyannote[914].speaker SPEAKER_07
transcript.pyannote[914].start 9265.33409375
transcript.pyannote[914].end 9265.84034375
transcript.pyannote[915].speaker SPEAKER_07
transcript.pyannote[915].start 9266.26221875
transcript.pyannote[915].end 9267.88221875
transcript.pyannote[916].speaker SPEAKER_07
transcript.pyannote[916].start 9268.72596875
transcript.pyannote[916].end 9269.21534375
transcript.pyannote[917].speaker SPEAKER_07
transcript.pyannote[917].start 9269.77221875
transcript.pyannote[917].end 9271.10534375
transcript.pyannote[918].speaker SPEAKER_03
transcript.pyannote[918].start 9272.16846875
transcript.pyannote[918].end 9276.91034375
transcript.pyannote[919].speaker SPEAKER_03
transcript.pyannote[919].start 9277.97346875
transcript.pyannote[919].end 9278.59784375
transcript.pyannote[920].speaker SPEAKER_16
transcript.pyannote[920].start 9279.88034375
transcript.pyannote[920].end 9280.16721875
transcript.pyannote[921].speaker SPEAKER_03
transcript.pyannote[921].start 9280.16721875
transcript.pyannote[921].end 9280.21784375
transcript.pyannote[922].speaker SPEAKER_03
transcript.pyannote[922].start 9280.40346875
transcript.pyannote[922].end 9281.28096875
transcript.pyannote[923].speaker SPEAKER_02
transcript.pyannote[923].start 9281.28096875
transcript.pyannote[923].end 9281.41596875
transcript.pyannote[924].speaker SPEAKER_02
transcript.pyannote[924].start 9281.44971875
transcript.pyannote[924].end 9281.50034375
transcript.pyannote[925].speaker SPEAKER_03
transcript.pyannote[925].start 9281.50034375
transcript.pyannote[925].end 9283.03596875
transcript.pyannote[926].speaker SPEAKER_02
transcript.pyannote[926].start 9283.03596875
transcript.pyannote[926].end 9295.55721875
transcript.pyannote[927].speaker SPEAKER_02
transcript.pyannote[927].start 9295.74284375
transcript.pyannote[927].end 9316.90409375
transcript.pyannote[928].speaker SPEAKER_02
transcript.pyannote[928].start 9317.17409375
transcript.pyannote[928].end 9319.75596875
transcript.pyannote[929].speaker SPEAKER_02
transcript.pyannote[929].start 9319.90784375
transcript.pyannote[929].end 9322.96221875
transcript.pyannote[930].speaker SPEAKER_20
transcript.pyannote[930].start 9321.17346875
transcript.pyannote[930].end 9322.43909375
transcript.pyannote[931].speaker SPEAKER_20
transcript.pyannote[931].start 9322.96221875
transcript.pyannote[931].end 9323.02971875
transcript.pyannote[932].speaker SPEAKER_02
transcript.pyannote[932].start 9323.02971875
transcript.pyannote[932].end 9338.11596875
transcript.pyannote[933].speaker SPEAKER_20
transcript.pyannote[933].start 9323.24909375
transcript.pyannote[933].end 9323.55284375
transcript.pyannote[934].speaker SPEAKER_02
transcript.pyannote[934].start 9338.35221875
transcript.pyannote[934].end 9338.50409375
transcript.pyannote[935].speaker SPEAKER_03
transcript.pyannote[935].start 9338.75721875
transcript.pyannote[935].end 9360.67784375
transcript.pyannote[936].speaker SPEAKER_03
transcript.pyannote[936].start 9361.28534375
transcript.pyannote[936].end 9363.91784375
transcript.pyannote[937].speaker SPEAKER_07
transcript.pyannote[937].start 9363.91784375
transcript.pyannote[937].end 9363.93471875
transcript.pyannote[938].speaker SPEAKER_03
transcript.pyannote[938].start 9363.93471875
transcript.pyannote[938].end 9364.01909375
transcript.pyannote[939].speaker SPEAKER_07
transcript.pyannote[939].start 9363.96846875
transcript.pyannote[939].end 9364.00221875
transcript.pyannote[940].speaker SPEAKER_07
transcript.pyannote[940].start 9364.01909375
transcript.pyannote[940].end 9375.86534375
transcript.pyannote[941].speaker SPEAKER_07
transcript.pyannote[941].start 9376.27034375
transcript.pyannote[941].end 9381.61971875
transcript.pyannote[942].speaker SPEAKER_03
transcript.pyannote[942].start 9382.21034375
transcript.pyannote[942].end 9384.06659375
transcript.pyannote[943].speaker SPEAKER_07
transcript.pyannote[943].start 9382.24409375
transcript.pyannote[943].end 9382.26096875
transcript.pyannote[944].speaker SPEAKER_07
transcript.pyannote[944].start 9382.27784375
transcript.pyannote[944].end 9388.42034375
transcript.pyannote[945].speaker SPEAKER_07
transcript.pyannote[945].start 9388.55534375
transcript.pyannote[945].end 9392.33534375
transcript.pyannote[946].speaker SPEAKER_03
transcript.pyannote[946].start 9395.84534375
transcript.pyannote[946].end 9403.35471875
transcript.pyannote[947].speaker SPEAKER_17
transcript.pyannote[947].start 9405.85221875
transcript.pyannote[947].end 9408.14721875
transcript.pyannote[948].speaker SPEAKER_17
transcript.pyannote[948].start 9408.40034375
transcript.pyannote[948].end 9413.12534375
transcript.pyannote[949].speaker SPEAKER_17
transcript.pyannote[949].start 9413.59784375
transcript.pyannote[949].end 9415.25159375
transcript.pyannote[950].speaker SPEAKER_17
transcript.pyannote[950].start 9415.55534375
transcript.pyannote[950].end 9416.23034375
transcript.pyannote[951].speaker SPEAKER_03
transcript.pyannote[951].start 9419.18346875
transcript.pyannote[951].end 9428.26221875
transcript.pyannote[952].speaker SPEAKER_03
transcript.pyannote[952].start 9429.73034375
transcript.pyannote[952].end 9433.79721875
transcript.pyannote[953].speaker SPEAKER_03
transcript.pyannote[953].start 9434.52284375
transcript.pyannote[953].end 9435.14721875
transcript.pyannote[954].speaker SPEAKER_15
transcript.pyannote[954].start 9435.14721875
transcript.pyannote[954].end 9435.51846875
transcript.pyannote[955].speaker SPEAKER_07
transcript.pyannote[955].start 9447.14534375
transcript.pyannote[955].end 9451.51596875
transcript.pyannote[956].speaker SPEAKER_07
transcript.pyannote[956].start 9451.75221875
transcript.pyannote[956].end 9452.52846875
transcript.pyannote[957].speaker SPEAKER_03
transcript.pyannote[957].start 9452.52846875
transcript.pyannote[957].end 9459.27846875
transcript.pyannote[958].speaker SPEAKER_03
transcript.pyannote[958].start 9459.81846875
transcript.pyannote[958].end 9460.86471875
transcript.pyannote[959].speaker SPEAKER_03
transcript.pyannote[959].start 9461.48909375
transcript.pyannote[959].end 9467.36159375
transcript.pyannote[960].speaker SPEAKER_03
transcript.pyannote[960].start 9468.30659375
transcript.pyannote[960].end 9475.74846875
transcript.pyannote[961].speaker SPEAKER_04
transcript.pyannote[961].start 9477.90846875
transcript.pyannote[961].end 9482.02596875
transcript.pyannote[962].speaker SPEAKER_04
transcript.pyannote[962].start 9482.48159375
transcript.pyannote[962].end 9487.54409375
transcript.pyannote[963].speaker SPEAKER_04
transcript.pyannote[963].start 9488.06721875
transcript.pyannote[963].end 9494.27721875
transcript.pyannote[964].speaker SPEAKER_04
transcript.pyannote[964].start 9494.58096875
transcript.pyannote[964].end 9497.71971875
transcript.pyannote[965].speaker SPEAKER_04
transcript.pyannote[965].start 9498.51284375
transcript.pyannote[965].end 9508.94159375
transcript.pyannote[966].speaker SPEAKER_04
transcript.pyannote[966].start 9509.59971875
transcript.pyannote[966].end 9522.05346875
transcript.pyannote[967].speaker SPEAKER_00
transcript.pyannote[967].start 9509.63346875
transcript.pyannote[967].end 9511.06784375
transcript.pyannote[968].speaker SPEAKER_04
transcript.pyannote[968].start 9522.27284375
transcript.pyannote[968].end 9523.08284375
transcript.pyannote[969].speaker SPEAKER_04
transcript.pyannote[969].start 9523.89284375
transcript.pyannote[969].end 9526.71096875
transcript.pyannote[970].speaker SPEAKER_03
transcript.pyannote[970].start 9526.71096875
transcript.pyannote[970].end 9528.36471875
transcript.pyannote[971].speaker SPEAKER_03
transcript.pyannote[971].start 9530.44034375
transcript.pyannote[971].end 9535.26659375
transcript.pyannote[972].speaker SPEAKER_04
transcript.pyannote[972].start 9536.76846875
transcript.pyannote[972].end 9553.32284375
transcript.pyannote[973].speaker SPEAKER_04
transcript.pyannote[973].start 9553.54221875
transcript.pyannote[973].end 9558.03096875
transcript.pyannote[974].speaker SPEAKER_04
transcript.pyannote[974].start 9559.26284375
transcript.pyannote[974].end 9561.32159375
transcript.pyannote[975].speaker SPEAKER_03
transcript.pyannote[975].start 9561.32159375
transcript.pyannote[975].end 9561.50721875
transcript.pyannote[976].speaker SPEAKER_04
transcript.pyannote[976].start 9561.50721875
transcript.pyannote[976].end 9561.52409375
transcript.pyannote[977].speaker SPEAKER_03
transcript.pyannote[977].start 9561.52409375
transcript.pyannote[977].end 9561.57471875
transcript.pyannote[978].speaker SPEAKER_04
transcript.pyannote[978].start 9561.57471875
transcript.pyannote[978].end 9561.70971875
transcript.pyannote[979].speaker SPEAKER_03
transcript.pyannote[979].start 9561.70971875
transcript.pyannote[979].end 9561.77721875
transcript.pyannote[980].speaker SPEAKER_04
transcript.pyannote[980].start 9561.77721875
transcript.pyannote[980].end 9561.82784375
transcript.pyannote[981].speaker SPEAKER_03
transcript.pyannote[981].start 9561.82784375
transcript.pyannote[981].end 9564.39284375
transcript.pyannote[982].speaker SPEAKER_04
transcript.pyannote[982].start 9565.38846875
transcript.pyannote[982].end 9573.62346875
transcript.pyannote[983].speaker SPEAKER_03
transcript.pyannote[983].start 9578.26409375
transcript.pyannote[983].end 9582.93846875
transcript.pyannote[984].speaker SPEAKER_03
transcript.pyannote[984].start 9584.05221875
transcript.pyannote[984].end 9595.30784375
transcript.pyannote[985].speaker SPEAKER_03
transcript.pyannote[985].start 9596.10096875
transcript.pyannote[985].end 9606.17534375
transcript.pyannote[986].speaker SPEAKER_03
transcript.pyannote[986].start 9606.68159375
transcript.pyannote[986].end 9609.26346875
transcript.pyannote[987].speaker SPEAKER_03
transcript.pyannote[987].start 9609.68534375
transcript.pyannote[987].end 9611.98034375
transcript.pyannote[988].speaker SPEAKER_02
transcript.pyannote[988].start 9611.98034375
transcript.pyannote[988].end 9612.06471875
transcript.pyannote[989].speaker SPEAKER_02
transcript.pyannote[989].start 9612.53721875
transcript.pyannote[989].end 9619.25346875
transcript.pyannote[990].speaker SPEAKER_02
transcript.pyannote[990].start 9619.52346875
transcript.pyannote[990].end 9621.91971875
transcript.pyannote[991].speaker SPEAKER_23
transcript.pyannote[991].start 9620.06346875
transcript.pyannote[991].end 9621.59909375
transcript.pyannote[992].speaker SPEAKER_02
transcript.pyannote[992].start 9622.30784375
transcript.pyannote[992].end 9625.56471875
transcript.pyannote[993].speaker SPEAKER_02
transcript.pyannote[993].start 9625.83471875
transcript.pyannote[993].end 9630.50909375
transcript.pyannote[994].speaker SPEAKER_02
transcript.pyannote[994].start 9631.85909375
transcript.pyannote[994].end 9633.90096875
transcript.pyannote[995].speaker SPEAKER_02
transcript.pyannote[995].start 9634.08659375
transcript.pyannote[995].end 9634.72784375
transcript.pyannote[996].speaker SPEAKER_02
transcript.pyannote[996].start 9635.11596875
transcript.pyannote[996].end 9636.09471875
transcript.pyannote[997].speaker SPEAKER_02
transcript.pyannote[997].start 9636.14534375
transcript.pyannote[997].end 9652.53096875
transcript.pyannote[998].speaker SPEAKER_03
transcript.pyannote[998].start 9655.83846875
transcript.pyannote[998].end 9656.34471875
transcript.pyannote[999].speaker SPEAKER_03
transcript.pyannote[999].start 9657.94784375
transcript.pyannote[999].end 9658.30221875
transcript.pyannote[1000].speaker SPEAKER_03
transcript.pyannote[1000].start 9658.90971875
transcript.pyannote[1000].end 9659.95596875
transcript.pyannote[1001].speaker SPEAKER_03
transcript.pyannote[1001].start 9660.96846875
transcript.pyannote[1001].end 9662.18346875
transcript.pyannote[1002].speaker SPEAKER_03
transcript.pyannote[1002].start 9664.64721875
transcript.pyannote[1002].end 9666.03096875
transcript.pyannote[1003].speaker SPEAKER_03
transcript.pyannote[1003].start 9666.41909375
transcript.pyannote[1003].end 9668.89971875
transcript.pyannote[1004].speaker SPEAKER_03
transcript.pyannote[1004].start 9670.50284375
transcript.pyannote[1004].end 9673.89471875
transcript.pyannote[1005].speaker SPEAKER_03
transcript.pyannote[1005].start 9676.67909375
transcript.pyannote[1005].end 9677.03346875
transcript.pyannote[1006].speaker SPEAKER_03
transcript.pyannote[1006].start 9683.22659375
transcript.pyannote[1006].end 9686.28096875
transcript.pyannote[1007].speaker SPEAKER_03
transcript.pyannote[1007].start 9688.52534375
transcript.pyannote[1007].end 9696.45659375
transcript.pyannote[1008].speaker SPEAKER_03
transcript.pyannote[1008].start 9699.84846875
transcript.pyannote[1008].end 9701.83971875
transcript.pyannote[1009].speaker SPEAKER_03
transcript.pyannote[1009].start 9703.34159375
transcript.pyannote[1009].end 9704.40471875
transcript.pyannote[1010].speaker SPEAKER_03
transcript.pyannote[1010].start 9704.69159375
transcript.pyannote[1010].end 9707.50971875
transcript.pyannote[1011].speaker SPEAKER_03
transcript.pyannote[1011].start 9708.37034375
transcript.pyannote[1011].end 9724.80659375
transcript.pyannote[1012].speaker SPEAKER_03
transcript.pyannote[1012].start 9728.97471875
transcript.pyannote[1012].end 9729.80159375
transcript.pyannote[1013].speaker SPEAKER_03
transcript.pyannote[1013].start 9730.62846875
transcript.pyannote[1013].end 9732.14721875
transcript.pyannote[1014].speaker SPEAKER_03
transcript.pyannote[1014].start 9733.27784375
transcript.pyannote[1014].end 9738.01971875
transcript.pyannote[1015].speaker SPEAKER_15
transcript.pyannote[1015].start 9735.37034375
transcript.pyannote[1015].end 9745.17471875
transcript.pyannote[1016].speaker SPEAKER_03
transcript.pyannote[1016].start 9738.61034375
transcript.pyannote[1016].end 9739.11659375
transcript.pyannote[1017].speaker SPEAKER_03
transcript.pyannote[1017].start 9743.94284375
transcript.pyannote[1017].end 9745.07346875
transcript.pyannote[1018].speaker SPEAKER_03
transcript.pyannote[1018].start 9745.93409375
transcript.pyannote[1018].end 9747.03096875
transcript.pyannote[1019].speaker SPEAKER_02
transcript.pyannote[1019].start 9747.03096875
transcript.pyannote[1019].end 9747.50346875
transcript.pyannote[1020].speaker SPEAKER_02
transcript.pyannote[1020].start 9747.75659375
transcript.pyannote[1020].end 9758.74221875
transcript.pyannote[1021].speaker SPEAKER_02
transcript.pyannote[1021].start 9759.34971875
transcript.pyannote[1021].end 9766.52159375
transcript.pyannote[1022].speaker SPEAKER_00
transcript.pyannote[1022].start 9763.29846875
transcript.pyannote[1022].end 9763.31534375
transcript.pyannote[1023].speaker SPEAKER_02
transcript.pyannote[1023].start 9767.02784375
transcript.pyannote[1023].end 9768.96846875
transcript.pyannote[1024].speaker SPEAKER_03
transcript.pyannote[1024].start 9768.96846875
transcript.pyannote[1024].end 9773.49096875
transcript.pyannote[1025].speaker SPEAKER_03
transcript.pyannote[1025].start 9773.94659375
transcript.pyannote[1025].end 9777.03471875
transcript.pyannote[1026].speaker SPEAKER_03
transcript.pyannote[1026].start 9777.22034375
transcript.pyannote[1026].end 9778.65471875
transcript.pyannote[1027].speaker SPEAKER_03
transcript.pyannote[1027].start 9778.92471875
transcript.pyannote[1027].end 9781.03409375
transcript.pyannote[1028].speaker SPEAKER_03
transcript.pyannote[1028].start 9782.67096875
transcript.pyannote[1028].end 9784.25721875
transcript.pyannote[1029].speaker SPEAKER_03
transcript.pyannote[1029].start 9784.62846875
transcript.pyannote[1029].end 9786.60284375
transcript.pyannote[1030].speaker SPEAKER_03
transcript.pyannote[1030].start 9788.05409375
transcript.pyannote[1030].end 9799.46159375
transcript.pyannote[1031].speaker SPEAKER_03
transcript.pyannote[1031].start 9801.70596875
transcript.pyannote[1031].end 9809.06346875
transcript.pyannote[1032].speaker SPEAKER_03
transcript.pyannote[1032].start 9810.12659375
transcript.pyannote[1032].end 9810.93659375
transcript.pyannote[1033].speaker SPEAKER_03
transcript.pyannote[1033].start 9811.72971875
transcript.pyannote[1033].end 9820.42034375
transcript.pyannote[1034].speaker SPEAKER_03
transcript.pyannote[1034].start 9821.95596875
transcript.pyannote[1034].end 9824.16659375
transcript.pyannote[1035].speaker SPEAKER_03
transcript.pyannote[1035].start 9826.30971875
transcript.pyannote[1035].end 9842.96534375
transcript.pyannote[1036].speaker SPEAKER_03
transcript.pyannote[1036].start 9847.13346875
transcript.pyannote[1036].end 9857.08971875
transcript.pyannote[1037].speaker SPEAKER_03
transcript.pyannote[1037].start 9859.50284375
transcript.pyannote[1037].end 9859.94159375
transcript.pyannote[1038].speaker SPEAKER_03
transcript.pyannote[1038].start 9860.63346875
transcript.pyannote[1038].end 9861.83159375
transcript.pyannote[1039].speaker SPEAKER_03
transcript.pyannote[1039].start 9862.50659375
transcript.pyannote[1039].end 9876.85034375
transcript.pyannote[1040].speaker SPEAKER_03
transcript.pyannote[1040].start 9879.58409375
transcript.pyannote[1040].end 9898.55159375
transcript.pyannote[1041].speaker SPEAKER_03
transcript.pyannote[1041].start 9898.83846875
transcript.pyannote[1041].end 9899.42909375
transcript.pyannote[1042].speaker SPEAKER_03
transcript.pyannote[1042].start 9902.77034375
transcript.pyannote[1042].end 9912.27096875
transcript.pyannote[1043].speaker SPEAKER_03
transcript.pyannote[1043].start 9912.45659375
transcript.pyannote[1043].end 9921.24846875
transcript.pyannote[1044].speaker SPEAKER_03
transcript.pyannote[1044].start 9922.05846875
transcript.pyannote[1044].end 9923.72909375
transcript.pyannote[1045].speaker SPEAKER_03
transcript.pyannote[1045].start 9923.76284375
transcript.pyannote[1045].end 9924.55596875
transcript.pyannote[1046].speaker SPEAKER_03
transcript.pyannote[1046].start 9927.71159375
transcript.pyannote[1046].end 9928.80846875
transcript.pyannote[1047].speaker SPEAKER_03
transcript.pyannote[1047].start 9928.92659375
transcript.pyannote[1047].end 9930.47909375
transcript.pyannote[1048].speaker SPEAKER_03
transcript.pyannote[1048].start 9931.71096875
transcript.pyannote[1048].end 9932.33534375
transcript.pyannote[1049].speaker SPEAKER_03
transcript.pyannote[1049].start 9933.38159375
transcript.pyannote[1049].end 9935.79471875
transcript.pyannote[1050].speaker SPEAKER_03
transcript.pyannote[1050].start 9939.89534375
transcript.pyannote[1050].end 9941.76846875
transcript.pyannote[1051].speaker SPEAKER_13
transcript.pyannote[1051].start 9941.93721875
transcript.pyannote[1051].end 9951.85971875
transcript.pyannote[1052].speaker SPEAKER_03
transcript.pyannote[1052].start 9942.30846875
transcript.pyannote[1052].end 9942.62909375
transcript.pyannote[1053].speaker SPEAKER_03
transcript.pyannote[1053].start 9952.02846875
transcript.pyannote[1053].end 9957.19221875
transcript.pyannote[1054].speaker SPEAKER_03
transcript.pyannote[1054].start 9958.08659375
transcript.pyannote[1054].end 9969.05534375
transcript.pyannote[1055].speaker SPEAKER_03
transcript.pyannote[1055].start 9970.06784375
transcript.pyannote[1055].end 9970.42221875
transcript.pyannote[1056].speaker SPEAKER_03
transcript.pyannote[1056].start 9971.50221875
transcript.pyannote[1056].end 9983.04471875
transcript.pyannote[1057].speaker SPEAKER_03
transcript.pyannote[1057].start 9985.87971875
transcript.pyannote[1057].end 9997.32096875
transcript.pyannote[1058].speaker SPEAKER_02
transcript.pyannote[1058].start 9997.32096875
transcript.pyannote[1058].end 10007.85096875
transcript.pyannote[1059].speaker SPEAKER_03
transcript.pyannote[1059].start 9997.35471875
transcript.pyannote[1059].end 9998.06346875
transcript.pyannote[1060].speaker SPEAKER_03
transcript.pyannote[1060].start 9998.09721875
transcript.pyannote[1060].end 9998.56971875
transcript.pyannote[1061].speaker SPEAKER_02
transcript.pyannote[1061].start 10008.18846875
transcript.pyannote[1061].end 10011.73221875
transcript.pyannote[1062].speaker SPEAKER_02
transcript.pyannote[1062].start 10012.84596875
transcript.pyannote[1062].end 10019.10659375
transcript.pyannote[1063].speaker SPEAKER_03
transcript.pyannote[1063].start 10016.06909375
transcript.pyannote[1063].end 10016.08596875
transcript.pyannote[1064].speaker SPEAKER_16
transcript.pyannote[1064].start 10016.08596875
transcript.pyannote[1064].end 10016.55846875
transcript.pyannote[1065].speaker SPEAKER_03
transcript.pyannote[1065].start 10018.46534375
transcript.pyannote[1065].end 10018.48221875
transcript.pyannote[1066].speaker SPEAKER_16
transcript.pyannote[1066].start 10018.48221875
transcript.pyannote[1066].end 10019.03909375
transcript.pyannote[1067].speaker SPEAKER_03
transcript.pyannote[1067].start 10019.03909375
transcript.pyannote[1067].end 10019.17409375
transcript.pyannote[1068].speaker SPEAKER_16
transcript.pyannote[1068].start 10019.10659375
transcript.pyannote[1068].end 10019.14034375
transcript.pyannote[1069].speaker SPEAKER_16
transcript.pyannote[1069].start 10019.17409375
transcript.pyannote[1069].end 10019.22471875
transcript.pyannote[1070].speaker SPEAKER_03
transcript.pyannote[1070].start 10019.22471875
transcript.pyannote[1070].end 10019.24159375
transcript.pyannote[1071].speaker SPEAKER_16
transcript.pyannote[1071].start 10019.24159375
transcript.pyannote[1071].end 10019.25846875
transcript.pyannote[1072].speaker SPEAKER_02
transcript.pyannote[1072].start 10019.68034375
transcript.pyannote[1072].end 10019.71409375
transcript.pyannote[1073].speaker SPEAKER_03
transcript.pyannote[1073].start 10019.71409375
transcript.pyannote[1073].end 10027.07159375
transcript.pyannote[1074].speaker SPEAKER_02
transcript.pyannote[1074].start 10027.45971875
transcript.pyannote[1074].end 10028.94471875
transcript.pyannote[1075].speaker SPEAKER_02
transcript.pyannote[1075].start 10029.78846875
transcript.pyannote[1075].end 10030.53096875
transcript.pyannote[1076].speaker SPEAKER_03
transcript.pyannote[1076].start 10031.54346875
transcript.pyannote[1076].end 10038.81659375
transcript.pyannote[1077].speaker SPEAKER_02
transcript.pyannote[1077].start 10032.82596875
transcript.pyannote[1077].end 10039.00221875
transcript.pyannote[1078].speaker SPEAKER_02
transcript.pyannote[1078].start 10041.28034375
transcript.pyannote[1078].end 10041.97221875
transcript.pyannote[1079].speaker SPEAKER_03
transcript.pyannote[1079].start 10041.97221875
transcript.pyannote[1079].end 10046.71409375
transcript.pyannote[1080].speaker SPEAKER_13
transcript.pyannote[1080].start 10047.91221875
transcript.pyannote[1080].end 10049.21159375
transcript.pyannote[1081].speaker SPEAKER_13
transcript.pyannote[1081].start 10049.34659375
transcript.pyannote[1081].end 10050.00471875
transcript.pyannote[1082].speaker SPEAKER_03
transcript.pyannote[1082].start 10052.70471875
transcript.pyannote[1082].end 10053.46409375
transcript.pyannote[1083].speaker SPEAKER_07
transcript.pyannote[1083].start 10063.09971875
transcript.pyannote[1083].end 10063.67346875
transcript.pyannote[1084].speaker SPEAKER_07
transcript.pyannote[1084].start 10064.41596875
transcript.pyannote[1084].end 10066.77846875
transcript.pyannote[1085].speaker SPEAKER_07
transcript.pyannote[1085].start 10067.01471875
transcript.pyannote[1085].end 10067.04846875
transcript.pyannote[1086].speaker SPEAKER_07
transcript.pyannote[1086].start 10067.09909375
transcript.pyannote[1086].end 10069.24221875
transcript.pyannote[1087].speaker SPEAKER_23
transcript.pyannote[1087].start 10071.09846875
transcript.pyannote[1087].end 10071.13221875
transcript.pyannote[1088].speaker SPEAKER_03
transcript.pyannote[1088].start 10071.13221875
transcript.pyannote[1088].end 10071.46971875
transcript.pyannote[1089].speaker SPEAKER_23
transcript.pyannote[1089].start 10071.46971875
transcript.pyannote[1089].end 10071.48659375
transcript.pyannote[1090].speaker SPEAKER_03
transcript.pyannote[1090].start 10071.48659375
transcript.pyannote[1090].end 10071.50346875
transcript.pyannote[1091].speaker SPEAKER_03
transcript.pyannote[1091].start 10076.59971875
transcript.pyannote[1091].end 10078.40534375
transcript.pyannote[1092].speaker SPEAKER_03
transcript.pyannote[1092].start 10456.64159375
transcript.pyannote[1092].end 10457.33346875
transcript.pyannote[1093].speaker SPEAKER_03
transcript.pyannote[1093].start 10574.95221875
transcript.pyannote[1093].end 10576.04909375
transcript.pyannote[1094].speaker SPEAKER_03
transcript.pyannote[1094].start 10578.52971875
transcript.pyannote[1094].end 10579.20471875
transcript.pyannote[1095].speaker SPEAKER_10
transcript.pyannote[1095].start 10588.36784375
transcript.pyannote[1095].end 10593.02534375
transcript.pyannote[1096].speaker SPEAKER_16
transcript.pyannote[1096].start 10590.74721875
transcript.pyannote[1096].end 10592.85659375
transcript.pyannote[1097].speaker SPEAKER_16
transcript.pyannote[1097].start 10596.61971875
transcript.pyannote[1097].end 10597.02471875
transcript.pyannote[1098].speaker SPEAKER_16
transcript.pyannote[1098].start 10599.65721875
transcript.pyannote[1098].end 10600.11284375
transcript.pyannote[1099].speaker SPEAKER_03
transcript.pyannote[1099].start 10675.40909375
transcript.pyannote[1099].end 10676.72534375
transcript.pyannote[1100].speaker SPEAKER_03
transcript.pyannote[1100].start 10679.84721875
transcript.pyannote[1100].end 10683.27284375
transcript.pyannote[1101].speaker SPEAKER_03
transcript.pyannote[1101].start 10708.12971875
transcript.pyannote[1101].end 10709.64846875
transcript.pyannote[1102].speaker SPEAKER_17
transcript.pyannote[1102].start 10712.50034375
transcript.pyannote[1102].end 10714.74471875
transcript.pyannote[1103].speaker SPEAKER_17
transcript.pyannote[1103].start 10714.96409375
transcript.pyannote[1103].end 10716.65159375
transcript.pyannote[1104].speaker SPEAKER_17
transcript.pyannote[1104].start 10717.46159375
transcript.pyannote[1104].end 10718.76096875
transcript.pyannote[1105].speaker SPEAKER_17
transcript.pyannote[1105].start 10719.11534375
transcript.pyannote[1105].end 10725.24096875
transcript.pyannote[1106].speaker SPEAKER_17
transcript.pyannote[1106].start 10725.51096875
transcript.pyannote[1106].end 10727.11409375
transcript.pyannote[1107].speaker SPEAKER_17
transcript.pyannote[1107].start 10727.75534375
transcript.pyannote[1107].end 10729.67909375
transcript.pyannote[1108].speaker SPEAKER_22
transcript.pyannote[1108].start 10732.51409375
transcript.pyannote[1108].end 10733.59409375
transcript.pyannote[1109].speaker SPEAKER_03
transcript.pyannote[1109].start 10736.90159375
transcript.pyannote[1109].end 10743.28034375
transcript.pyannote[1110].speaker SPEAKER_03
transcript.pyannote[1110].start 10744.46159375
transcript.pyannote[1110].end 10748.69721875
transcript.pyannote[1111].speaker SPEAKER_03
transcript.pyannote[1111].start 10748.89971875
transcript.pyannote[1111].end 10750.97534375
transcript.pyannote[1112].speaker SPEAKER_03
transcript.pyannote[1112].start 10751.76846875
transcript.pyannote[1112].end 10753.64159375
transcript.pyannote[1113].speaker SPEAKER_03
transcript.pyannote[1113].start 10759.66596875
transcript.pyannote[1113].end 10769.21721875
transcript.pyannote[1114].speaker SPEAKER_03
transcript.pyannote[1114].start 10770.19596875
transcript.pyannote[1114].end 10770.53346875
transcript.pyannote[1115].speaker SPEAKER_03
transcript.pyannote[1115].start 10770.70221875
transcript.pyannote[1115].end 10770.98909375
transcript.pyannote[1116].speaker SPEAKER_03
transcript.pyannote[1116].start 10771.86659375
transcript.pyannote[1116].end 10773.50346875
transcript.pyannote[1117].speaker SPEAKER_03
transcript.pyannote[1117].start 10774.12784375
transcript.pyannote[1117].end 10789.24784375
transcript.pyannote[1118].speaker SPEAKER_03
transcript.pyannote[1118].start 10797.75284375
transcript.pyannote[1118].end 10813.81784375
transcript.pyannote[1119].speaker SPEAKER_03
transcript.pyannote[1119].start 10818.00284375
transcript.pyannote[1119].end 10819.33596875
transcript.pyannote[1120].speaker SPEAKER_03
transcript.pyannote[1120].start 10820.48346875
transcript.pyannote[1120].end 10841.42534375
transcript.pyannote[1121].speaker SPEAKER_03
transcript.pyannote[1121].start 10842.82596875
transcript.pyannote[1121].end 10848.88409375
transcript.pyannote[1122].speaker SPEAKER_03
transcript.pyannote[1122].start 10849.35659375
transcript.pyannote[1122].end 10857.37221875
transcript.pyannote[1123].speaker SPEAKER_03
transcript.pyannote[1123].start 10857.87846875
transcript.pyannote[1123].end 10859.26221875
transcript.pyannote[1124].speaker SPEAKER_03
transcript.pyannote[1124].start 10860.83159375
transcript.pyannote[1124].end 10871.80034375
transcript.pyannote[1125].speaker SPEAKER_15
transcript.pyannote[1125].start 10872.67784375
transcript.pyannote[1125].end 10880.20409375
transcript.pyannote[1126].speaker SPEAKER_03
transcript.pyannote[1126].start 10880.25471875
transcript.pyannote[1126].end 10880.86221875
transcript.pyannote[1127].speaker SPEAKER_15
transcript.pyannote[1127].start 10880.86221875
transcript.pyannote[1127].end 10901.41596875
transcript.pyannote[1128].speaker SPEAKER_15
transcript.pyannote[1128].start 10902.02346875
transcript.pyannote[1128].end 10913.78534375
transcript.pyannote[1129].speaker SPEAKER_15
transcript.pyannote[1129].start 10914.22409375
transcript.pyannote[1129].end 10956.58034375
transcript.pyannote[1130].speaker SPEAKER_15
transcript.pyannote[1130].start 10957.01909375
transcript.pyannote[1130].end 10970.53596875
transcript.pyannote[1131].speaker SPEAKER_15
transcript.pyannote[1131].start 10970.65409375
transcript.pyannote[1131].end 10988.10284375
transcript.pyannote[1132].speaker SPEAKER_15
transcript.pyannote[1132].start 10988.44034375
transcript.pyannote[1132].end 10990.43159375
transcript.pyannote[1133].speaker SPEAKER_15
transcript.pyannote[1133].start 10991.00534375
transcript.pyannote[1133].end 10998.10971875
transcript.pyannote[1134].speaker SPEAKER_15
transcript.pyannote[1134].start 10998.73409375
transcript.pyannote[1134].end 11004.82596875
transcript.pyannote[1135].speaker SPEAKER_15
transcript.pyannote[1135].start 11005.18034375
transcript.pyannote[1135].end 11010.14159375
transcript.pyannote[1136].speaker SPEAKER_15
transcript.pyannote[1136].start 11013.26346875
transcript.pyannote[1136].end 11014.15784375
transcript.pyannote[1137].speaker SPEAKER_03
transcript.pyannote[1137].start 11014.64721875
transcript.pyannote[1137].end 11016.03096875
transcript.pyannote[1138].speaker SPEAKER_15
transcript.pyannote[1138].start 11016.30096875
transcript.pyannote[1138].end 11016.55409375
transcript.pyannote[1139].speaker SPEAKER_03
transcript.pyannote[1139].start 11017.00971875
transcript.pyannote[1139].end 11018.46096875
transcript.pyannote[1140].speaker SPEAKER_03
transcript.pyannote[1140].start 11019.59159375
transcript.pyannote[1140].end 11034.54284375
transcript.pyannote[1141].speaker SPEAKER_03
transcript.pyannote[1141].start 11038.10346875
transcript.pyannote[1141].end 11039.95971875
transcript.pyannote[1142].speaker SPEAKER_15
transcript.pyannote[1142].start 11041.47846875
transcript.pyannote[1142].end 11043.90846875
transcript.pyannote[1143].speaker SPEAKER_15
transcript.pyannote[1143].start 11043.95909375
transcript.pyannote[1143].end 11043.97596875
transcript.pyannote[1144].speaker SPEAKER_15
transcript.pyannote[1144].start 11044.24596875
transcript.pyannote[1144].end 11045.15721875
transcript.pyannote[1145].speaker SPEAKER_15
transcript.pyannote[1145].start 11045.66346875
transcript.pyannote[1145].end 11047.19909375
transcript.pyannote[1146].speaker SPEAKER_15
transcript.pyannote[1146].start 11047.72221875
transcript.pyannote[1146].end 11048.49846875
transcript.pyannote[1147].speaker SPEAKER_03
transcript.pyannote[1147].start 11053.24034375
transcript.pyannote[1147].end 11053.88159375
transcript.pyannote[1148].speaker SPEAKER_15
transcript.pyannote[1148].start 11056.31159375
transcript.pyannote[1148].end 11057.18909375
transcript.pyannote[1149].speaker SPEAKER_03
transcript.pyannote[1149].start 11056.46346875
transcript.pyannote[1149].end 11061.13784375
transcript.pyannote[1150].speaker SPEAKER_03
transcript.pyannote[1150].start 11062.11659375
transcript.pyannote[1150].end 11066.87534375
transcript.pyannote[1151].speaker SPEAKER_03
transcript.pyannote[1151].start 11067.48284375
transcript.pyannote[1151].end 11074.95846875
transcript.pyannote[1152].speaker SPEAKER_03
transcript.pyannote[1152].start 11076.02159375
transcript.pyannote[1152].end 11079.00846875
transcript.pyannote[1153].speaker SPEAKER_15
transcript.pyannote[1153].start 11076.51096875
transcript.pyannote[1153].end 11079.83534375
transcript.pyannote[1154].speaker SPEAKER_15
transcript.pyannote[1154].start 11079.88596875
transcript.pyannote[1154].end 11082.55221875
transcript.pyannote[1155].speaker SPEAKER_15
transcript.pyannote[1155].start 11083.31159375
transcript.pyannote[1155].end 11086.31534375
transcript.pyannote[1156].speaker SPEAKER_15
transcript.pyannote[1156].start 11086.88909375
transcript.pyannote[1156].end 11094.06096875
transcript.pyannote[1157].speaker SPEAKER_03
transcript.pyannote[1157].start 11095.05659375
transcript.pyannote[1157].end 11099.44409375
transcript.pyannote[1158].speaker SPEAKER_15
transcript.pyannote[1158].start 11098.68471875
transcript.pyannote[1158].end 11098.70159375
transcript.pyannote[1159].speaker SPEAKER_11
transcript.pyannote[1159].start 11098.70159375
transcript.pyannote[1159].end 11103.73034375
transcript.pyannote[1160].speaker SPEAKER_15
transcript.pyannote[1160].start 11106.64971875
transcript.pyannote[1160].end 11108.11784375
transcript.pyannote[1161].speaker SPEAKER_15
transcript.pyannote[1161].start 11109.31596875
transcript.pyannote[1161].end 11110.54784375
transcript.pyannote[1162].speaker SPEAKER_15
transcript.pyannote[1162].start 11110.86846875
transcript.pyannote[1162].end 11111.25659375
transcript.pyannote[1163].speaker SPEAKER_15
transcript.pyannote[1163].start 11112.16784375
transcript.pyannote[1163].end 11112.42096875
transcript.pyannote[1164].speaker SPEAKER_02
transcript.pyannote[1164].start 11113.61909375
transcript.pyannote[1164].end 11117.65221875
transcript.pyannote[1165].speaker SPEAKER_02
transcript.pyannote[1165].start 11117.92221875
transcript.pyannote[1165].end 11127.08534375
transcript.pyannote[1166].speaker SPEAKER_02
transcript.pyannote[1166].start 11127.35534375
transcript.pyannote[1166].end 11130.17346875
transcript.pyannote[1167].speaker SPEAKER_02
transcript.pyannote[1167].start 11130.54471875
transcript.pyannote[1167].end 11131.81034375
transcript.pyannote[1168].speaker SPEAKER_02
transcript.pyannote[1168].start 11132.09721875
transcript.pyannote[1168].end 11132.90721875
transcript.pyannote[1169].speaker SPEAKER_02
transcript.pyannote[1169].start 11133.34596875
transcript.pyannote[1169].end 11134.10534375
transcript.pyannote[1170].speaker SPEAKER_02
transcript.pyannote[1170].start 11134.29096875
transcript.pyannote[1170].end 11136.14721875
transcript.pyannote[1171].speaker SPEAKER_02
transcript.pyannote[1171].start 11136.56909375
transcript.pyannote[1171].end 11137.15971875
transcript.pyannote[1172].speaker SPEAKER_02
transcript.pyannote[1172].start 11137.32846875
transcript.pyannote[1172].end 11139.08346875
transcript.pyannote[1173].speaker SPEAKER_02
transcript.pyannote[1173].start 11139.28596875
transcript.pyannote[1173].end 11140.29846875
transcript.pyannote[1174].speaker SPEAKER_02
transcript.pyannote[1174].start 11140.66971875
transcript.pyannote[1174].end 11144.88846875
transcript.pyannote[1175].speaker SPEAKER_15
transcript.pyannote[1175].start 11145.34409375
transcript.pyannote[1175].end 11147.25096875
transcript.pyannote[1176].speaker SPEAKER_02
transcript.pyannote[1176].start 11145.86721875
transcript.pyannote[1176].end 11147.84159375
transcript.pyannote[1177].speaker SPEAKER_02
transcript.pyannote[1177].start 11148.26346875
transcript.pyannote[1177].end 11158.60784375
transcript.pyannote[1178].speaker SPEAKER_02
transcript.pyannote[1178].start 11159.08034375
transcript.pyannote[1178].end 11171.90534375
transcript.pyannote[1179].speaker SPEAKER_02
transcript.pyannote[1179].start 11172.44534375
transcript.pyannote[1179].end 11177.60909375
transcript.pyannote[1180].speaker SPEAKER_02
transcript.pyannote[1180].start 11181.99659375
transcript.pyannote[1180].end 11183.56596875
transcript.pyannote[1181].speaker SPEAKER_02
transcript.pyannote[1181].start 11184.13971875
transcript.pyannote[1181].end 11190.56909375
transcript.pyannote[1182].speaker SPEAKER_16
transcript.pyannote[1182].start 11187.68346875
transcript.pyannote[1182].end 11188.54409375
transcript.pyannote[1183].speaker SPEAKER_21
transcript.pyannote[1183].start 11188.54409375
transcript.pyannote[1183].end 11188.56096875
transcript.pyannote[1184].speaker SPEAKER_16
transcript.pyannote[1184].start 11190.56909375
transcript.pyannote[1184].end 11191.00784375
transcript.pyannote[1185].speaker SPEAKER_02
transcript.pyannote[1185].start 11191.00784375
transcript.pyannote[1185].end 11202.61784375
transcript.pyannote[1186].speaker SPEAKER_16
transcript.pyannote[1186].start 11191.04159375
transcript.pyannote[1186].end 11191.14284375
transcript.pyannote[1187].speaker SPEAKER_16
transcript.pyannote[1187].start 11192.18909375
transcript.pyannote[1187].end 11193.11721875
transcript.pyannote[1188].speaker SPEAKER_00
transcript.pyannote[1188].start 11193.11721875
transcript.pyannote[1188].end 11193.13409375
transcript.pyannote[1189].speaker SPEAKER_16
transcript.pyannote[1189].start 11202.49971875
transcript.pyannote[1189].end 11202.53346875
transcript.pyannote[1190].speaker SPEAKER_16
transcript.pyannote[1190].start 11202.61784375
transcript.pyannote[1190].end 11202.71909375
transcript.pyannote[1191].speaker SPEAKER_02
transcript.pyannote[1191].start 11202.71909375
transcript.pyannote[1191].end 11204.32221875
transcript.pyannote[1192].speaker SPEAKER_02
transcript.pyannote[1192].start 11204.82846875
transcript.pyannote[1192].end 11209.30034375
transcript.pyannote[1193].speaker SPEAKER_02
transcript.pyannote[1193].start 11209.60409375
transcript.pyannote[1193].end 11210.76846875
transcript.pyannote[1194].speaker SPEAKER_15
transcript.pyannote[1194].start 11210.46471875
transcript.pyannote[1194].end 11213.16471875
transcript.pyannote[1195].speaker SPEAKER_02
transcript.pyannote[1195].start 11212.30409375
transcript.pyannote[1195].end 11218.88534375
transcript.pyannote[1196].speaker SPEAKER_15
transcript.pyannote[1196].start 11215.27409375
transcript.pyannote[1196].end 11215.62846875
transcript.pyannote[1197].speaker SPEAKER_02
transcript.pyannote[1197].start 11219.15534375
transcript.pyannote[1197].end 11222.90159375
transcript.pyannote[1198].speaker SPEAKER_15
transcript.pyannote[1198].start 11223.22221875
transcript.pyannote[1198].end 11225.23034375
transcript.pyannote[1199].speaker SPEAKER_02
transcript.pyannote[1199].start 11225.12909375
transcript.pyannote[1199].end 11226.63096875
transcript.pyannote[1200].speaker SPEAKER_15
transcript.pyannote[1200].start 11226.36096875
transcript.pyannote[1200].end 11226.69846875
transcript.pyannote[1201].speaker SPEAKER_03
transcript.pyannote[1201].start 11227.54221875
transcript.pyannote[1201].end 11249.80034375
transcript.pyannote[1202].speaker SPEAKER_15
transcript.pyannote[1202].start 11227.93034375
transcript.pyannote[1202].end 11229.01034375
transcript.pyannote[1203].speaker SPEAKER_02
transcript.pyannote[1203].start 11229.01034375
transcript.pyannote[1203].end 11229.04409375
transcript.pyannote[1204].speaker SPEAKER_02
transcript.pyannote[1204].start 11238.52784375
transcript.pyannote[1204].end 11240.14784375
transcript.pyannote[1205].speaker SPEAKER_00
transcript.pyannote[1205].start 11240.14784375
transcript.pyannote[1205].end 11240.24909375
transcript.pyannote[1206].speaker SPEAKER_02
transcript.pyannote[1206].start 11249.80034375
transcript.pyannote[1206].end 11250.03659375
transcript.pyannote[1207].speaker SPEAKER_03
transcript.pyannote[1207].start 11250.03659375
transcript.pyannote[1207].end 11250.05346875
transcript.pyannote[1208].speaker SPEAKER_02
transcript.pyannote[1208].start 11250.05346875
transcript.pyannote[1208].end 11250.07034375
transcript.pyannote[1209].speaker SPEAKER_03
transcript.pyannote[1209].start 11250.07034375
transcript.pyannote[1209].end 11251.33596875
transcript.pyannote[1210].speaker SPEAKER_02
transcript.pyannote[1210].start 11250.13784375
transcript.pyannote[1210].end 11250.25596875
transcript.pyannote[1211].speaker SPEAKER_03
transcript.pyannote[1211].start 11252.75346875
transcript.pyannote[1211].end 11253.27659375
transcript.pyannote[1212].speaker SPEAKER_03
transcript.pyannote[1212].start 11253.46221875
transcript.pyannote[1212].end 11256.63471875
transcript.pyannote[1213].speaker SPEAKER_03
transcript.pyannote[1213].start 11257.79909375
transcript.pyannote[1213].end 11259.30096875
transcript.pyannote[1214].speaker SPEAKER_15
transcript.pyannote[1214].start 11260.26284375
transcript.pyannote[1214].end 11264.80221875
transcript.pyannote[1215].speaker SPEAKER_15
transcript.pyannote[1215].start 11265.57846875
transcript.pyannote[1215].end 11303.59784375
transcript.pyannote[1216].speaker SPEAKER_15
transcript.pyannote[1216].start 11304.00284375
transcript.pyannote[1216].end 11307.29346875
transcript.pyannote[1217].speaker SPEAKER_03
transcript.pyannote[1217].start 11304.12096875
transcript.pyannote[1217].end 11305.43721875
transcript.pyannote[1218].speaker SPEAKER_15
transcript.pyannote[1218].start 11307.39471875
transcript.pyannote[1218].end 11310.16221875
transcript.pyannote[1219].speaker SPEAKER_03
transcript.pyannote[1219].start 11307.71534375
transcript.pyannote[1219].end 11308.25534375
transcript.pyannote[1220].speaker SPEAKER_03
transcript.pyannote[1220].start 11309.55471875
transcript.pyannote[1220].end 11325.85596875
transcript.pyannote[1221].speaker SPEAKER_15
transcript.pyannote[1221].start 11315.41034375
transcript.pyannote[1221].end 11316.87846875
transcript.pyannote[1222].speaker SPEAKER_00
transcript.pyannote[1222].start 11317.57034375
transcript.pyannote[1222].end 11317.70534375
transcript.pyannote[1223].speaker SPEAKER_00
transcript.pyannote[1223].start 11318.26221875
transcript.pyannote[1223].end 11318.31284375
transcript.pyannote[1224].speaker SPEAKER_03
transcript.pyannote[1224].start 11327.39159375
transcript.pyannote[1224].end 11332.74096875
transcript.pyannote[1225].speaker SPEAKER_15
transcript.pyannote[1225].start 11332.84221875
transcript.pyannote[1225].end 11337.14534375
transcript.pyannote[1226].speaker SPEAKER_03
transcript.pyannote[1226].start 11337.46596875
transcript.pyannote[1226].end 11349.88596875
transcript.pyannote[1227].speaker SPEAKER_15
transcript.pyannote[1227].start 11342.59596875
transcript.pyannote[1227].end 11343.08534375
transcript.pyannote[1228].speaker SPEAKER_15
transcript.pyannote[1228].start 11347.70909375
transcript.pyannote[1228].end 11359.82534375
transcript.pyannote[1229].speaker SPEAKER_03
transcript.pyannote[1229].start 11358.61034375
transcript.pyannote[1229].end 11366.17034375
transcript.pyannote[1230].speaker SPEAKER_15
transcript.pyannote[1230].start 11361.25971875
transcript.pyannote[1230].end 11361.41159375
transcript.pyannote[1231].speaker SPEAKER_15
transcript.pyannote[1231].start 11361.51284375
transcript.pyannote[1231].end 11361.59721875
transcript.pyannote[1232].speaker SPEAKER_15
transcript.pyannote[1232].start 11365.44471875
transcript.pyannote[1232].end 11366.06909375
transcript.pyannote[1233].speaker SPEAKER_03
transcript.pyannote[1233].start 11366.35596875
transcript.pyannote[1233].end 11370.97971875
transcript.pyannote[1234].speaker SPEAKER_15
transcript.pyannote[1234].start 11371.16534375
transcript.pyannote[1234].end 11377.66221875
transcript.pyannote[1235].speaker SPEAKER_03
transcript.pyannote[1235].start 11375.50221875
transcript.pyannote[1235].end 11375.56971875
transcript.pyannote[1236].speaker SPEAKER_00
transcript.pyannote[1236].start 11375.56971875
transcript.pyannote[1236].end 11375.73846875
transcript.pyannote[1237].speaker SPEAKER_15
transcript.pyannote[1237].start 11378.06721875
transcript.pyannote[1237].end 11383.46721875
transcript.pyannote[1238].speaker SPEAKER_15
transcript.pyannote[1238].start 11384.09159375
transcript.pyannote[1238].end 11406.06284375
transcript.pyannote[1239].speaker SPEAKER_15
transcript.pyannote[1239].start 11406.46784375
transcript.pyannote[1239].end 11407.68284375
transcript.pyannote[1240].speaker SPEAKER_03
transcript.pyannote[1240].start 11407.90221875
transcript.pyannote[1240].end 11415.14159375
transcript.pyannote[1241].speaker SPEAKER_15
transcript.pyannote[1241].start 11408.23971875
transcript.pyannote[1241].end 11411.24346875
transcript.pyannote[1242].speaker SPEAKER_07
transcript.pyannote[1242].start 11411.24346875
transcript.pyannote[1242].end 11411.27721875
transcript.pyannote[1243].speaker SPEAKER_15
transcript.pyannote[1243].start 11412.13784375
transcript.pyannote[1243].end 11412.22221875
transcript.pyannote[1244].speaker SPEAKER_07
transcript.pyannote[1244].start 11412.22221875
transcript.pyannote[1244].end 11412.47534375
transcript.pyannote[1245].speaker SPEAKER_07
transcript.pyannote[1245].start 11415.54659375
transcript.pyannote[1245].end 11422.68471875
transcript.pyannote[1246].speaker SPEAKER_07
transcript.pyannote[1246].start 11422.92096875
transcript.pyannote[1246].end 11426.66721875
transcript.pyannote[1247].speaker SPEAKER_07
transcript.pyannote[1247].start 11426.95409375
transcript.pyannote[1247].end 11449.31346875
transcript.pyannote[1248].speaker SPEAKER_07
transcript.pyannote[1248].start 11450.10659375
transcript.pyannote[1248].end 11480.07659375
transcript.pyannote[1249].speaker SPEAKER_07
transcript.pyannote[1249].start 11480.65034375
transcript.pyannote[1249].end 11481.29159375
transcript.pyannote[1250].speaker SPEAKER_07
transcript.pyannote[1250].start 11481.83159375
transcript.pyannote[1250].end 11482.97909375
transcript.pyannote[1251].speaker SPEAKER_07
transcript.pyannote[1251].start 11483.73846875
transcript.pyannote[1251].end 11485.93221875
transcript.pyannote[1252].speaker SPEAKER_07
transcript.pyannote[1252].start 11485.96596875
transcript.pyannote[1252].end 11492.04096875
transcript.pyannote[1253].speaker SPEAKER_07
transcript.pyannote[1253].start 11492.09159375
transcript.pyannote[1253].end 11494.47096875
transcript.pyannote[1254].speaker SPEAKER_03
transcript.pyannote[1254].start 11497.15409375
transcript.pyannote[1254].end 11515.53096875
transcript.pyannote[1255].speaker SPEAKER_03
transcript.pyannote[1255].start 11516.02034375
transcript.pyannote[1255].end 11523.68159375
transcript.pyannote[1256].speaker SPEAKER_02
transcript.pyannote[1256].start 11525.43659375
transcript.pyannote[1256].end 11543.50971875
transcript.pyannote[1257].speaker SPEAKER_15
transcript.pyannote[1257].start 11543.13846875
transcript.pyannote[1257].end 11544.79221875
transcript.pyannote[1258].speaker SPEAKER_02
transcript.pyannote[1258].start 11544.01596875
transcript.pyannote[1258].end 11555.20409375
transcript.pyannote[1259].speaker SPEAKER_02
transcript.pyannote[1259].start 11555.76096875
transcript.pyannote[1259].end 11558.47784375
transcript.pyannote[1260].speaker SPEAKER_03
transcript.pyannote[1260].start 11558.84909375
transcript.pyannote[1260].end 11571.53909375
transcript.pyannote[1261].speaker SPEAKER_15
transcript.pyannote[1261].start 11571.35346875
transcript.pyannote[1261].end 11571.65721875
transcript.pyannote[1262].speaker SPEAKER_15
transcript.pyannote[1262].start 11572.01159375
transcript.pyannote[1262].end 11578.08659375
transcript.pyannote[1263].speaker SPEAKER_15
transcript.pyannote[1263].start 11578.91346875
transcript.pyannote[1263].end 11583.53721875
transcript.pyannote[1264].speaker SPEAKER_03
transcript.pyannote[1264].start 11580.02721875
transcript.pyannote[1264].end 11581.49534375
transcript.pyannote[1265].speaker SPEAKER_15
transcript.pyannote[1265].start 11584.36409375
transcript.pyannote[1265].end 11585.29221875
transcript.pyannote[1266].speaker SPEAKER_16
transcript.pyannote[1266].start 11585.29221875
transcript.pyannote[1266].end 11585.39346875
transcript.pyannote[1267].speaker SPEAKER_16
transcript.pyannote[1267].start 11586.74346875
transcript.pyannote[1267].end 11587.63784375
transcript.pyannote[1268].speaker SPEAKER_15
transcript.pyannote[1268].start 11588.00909375
transcript.pyannote[1268].end 11593.10534375
transcript.pyannote[1269].speaker SPEAKER_15
transcript.pyannote[1269].start 11593.74659375
transcript.pyannote[1269].end 11596.02471875
transcript.pyannote[1270].speaker SPEAKER_15
transcript.pyannote[1270].start 11596.68284375
transcript.pyannote[1270].end 11596.86846875
transcript.pyannote[1271].speaker SPEAKER_02
transcript.pyannote[1271].start 11597.20596875
transcript.pyannote[1271].end 11600.69909375
transcript.pyannote[1272].speaker SPEAKER_02
transcript.pyannote[1272].start 11600.88471875
transcript.pyannote[1272].end 11602.97721875
transcript.pyannote[1273].speaker SPEAKER_03
transcript.pyannote[1273].start 11601.08721875
transcript.pyannote[1273].end 11601.84659375
transcript.pyannote[1274].speaker SPEAKER_03
transcript.pyannote[1274].start 11602.97721875
transcript.pyannote[1274].end 11605.66034375
transcript.pyannote[1275].speaker SPEAKER_15
transcript.pyannote[1275].start 11605.66034375
transcript.pyannote[1275].end 11606.25096875
transcript.pyannote[1276].speaker SPEAKER_15
transcript.pyannote[1276].start 11607.06096875
transcript.pyannote[1276].end 11610.50346875
transcript.pyannote[1277].speaker SPEAKER_03
transcript.pyannote[1277].start 11610.80721875
transcript.pyannote[1277].end 11612.32596875
transcript.pyannote[1278].speaker SPEAKER_03
transcript.pyannote[1278].start 11614.13159375
transcript.pyannote[1278].end 11617.03409375
transcript.pyannote[1279].speaker SPEAKER_03
transcript.pyannote[1279].start 11617.79346875
transcript.pyannote[1279].end 11625.01596875
transcript.pyannote[1280].speaker SPEAKER_03
transcript.pyannote[1280].start 11627.80034375
transcript.pyannote[1280].end 11635.30971875
transcript.pyannote[1281].speaker SPEAKER_03
transcript.pyannote[1281].start 11636.84534375
transcript.pyannote[1281].end 11651.61096875
transcript.pyannote[1282].speaker SPEAKER_15
transcript.pyannote[1282].start 11652.64034375
transcript.pyannote[1282].end 11653.93971875
transcript.pyannote[1283].speaker SPEAKER_03
transcript.pyannote[1283].start 11653.46721875
transcript.pyannote[1283].end 11655.61034375
transcript.pyannote[1284].speaker SPEAKER_03
transcript.pyannote[1284].start 11656.67346875
transcript.pyannote[1284].end 11660.11596875
transcript.pyannote[1285].speaker SPEAKER_03
transcript.pyannote[1285].start 11660.45346875
transcript.pyannote[1285].end 11660.97659375
transcript.pyannote[1286].speaker SPEAKER_22
transcript.pyannote[1286].start 11660.97659375
transcript.pyannote[1286].end 11675.25284375
transcript.pyannote[1287].speaker SPEAKER_22
transcript.pyannote[1287].start 11675.53971875
transcript.pyannote[1287].end 11705.98221875
transcript.pyannote[1288].speaker SPEAKER_22
transcript.pyannote[1288].start 11706.26909375
transcript.pyannote[1288].end 11728.03784375
transcript.pyannote[1289].speaker SPEAKER_22
transcript.pyannote[1289].start 11728.24034375
transcript.pyannote[1289].end 11750.43096875
transcript.pyannote[1290].speaker SPEAKER_22
transcript.pyannote[1290].start 11751.51096875
transcript.pyannote[1290].end 11765.16284375
transcript.pyannote[1291].speaker SPEAKER_03
transcript.pyannote[1291].start 11772.40221875
transcript.pyannote[1291].end 11773.46534375
transcript.pyannote[1292].speaker SPEAKER_15
transcript.pyannote[1292].start 11774.89971875
transcript.pyannote[1292].end 11776.31721875
transcript.pyannote[1293].speaker SPEAKER_15
transcript.pyannote[1293].start 11776.45221875
transcript.pyannote[1293].end 11777.54909375
transcript.pyannote[1294].speaker SPEAKER_15
transcript.pyannote[1294].start 11777.92034375
transcript.pyannote[1294].end 11783.06721875
transcript.pyannote[1295].speaker SPEAKER_15
transcript.pyannote[1295].start 11783.43846875
transcript.pyannote[1295].end 11786.40846875
transcript.pyannote[1296].speaker SPEAKER_15
transcript.pyannote[1296].start 11786.71221875
transcript.pyannote[1296].end 11789.64846875
transcript.pyannote[1297].speaker SPEAKER_15
transcript.pyannote[1297].start 11789.68221875
transcript.pyannote[1297].end 11793.76596875
transcript.pyannote[1298].speaker SPEAKER_15
transcript.pyannote[1298].start 11793.83346875
transcript.pyannote[1298].end 11798.40659375
transcript.pyannote[1299].speaker SPEAKER_15
transcript.pyannote[1299].start 11798.62596875
transcript.pyannote[1299].end 11802.45659375
transcript.pyannote[1300].speaker SPEAKER_15
transcript.pyannote[1300].start 11802.69284375
transcript.pyannote[1300].end 11810.94471875
transcript.pyannote[1301].speaker SPEAKER_15
transcript.pyannote[1301].start 11811.11346875
transcript.pyannote[1301].end 11818.52159375
transcript.pyannote[1302].speaker SPEAKER_00
transcript.pyannote[1302].start 11814.67409375
transcript.pyannote[1302].end 11814.85971875
transcript.pyannote[1303].speaker SPEAKER_15
transcript.pyannote[1303].start 11818.92659375
transcript.pyannote[1303].end 11825.28846875
transcript.pyannote[1304].speaker SPEAKER_15
transcript.pyannote[1304].start 11825.47409375
transcript.pyannote[1304].end 11856.76034375
transcript.pyannote[1305].speaker SPEAKER_15
transcript.pyannote[1305].start 11857.08096875
transcript.pyannote[1305].end 11879.11971875
transcript.pyannote[1306].speaker SPEAKER_15
transcript.pyannote[1306].start 11879.76096875
transcript.pyannote[1306].end 11887.97909375
transcript.pyannote[1307].speaker SPEAKER_15
transcript.pyannote[1307].start 11888.19846875
transcript.pyannote[1307].end 11907.94221875
transcript.pyannote[1308].speaker SPEAKER_15
transcript.pyannote[1308].start 11908.09409375
transcript.pyannote[1308].end 11918.30346875
transcript.pyannote[1309].speaker SPEAKER_15
transcript.pyannote[1309].start 11919.40034375
transcript.pyannote[1309].end 11923.06221875
transcript.pyannote[1310].speaker SPEAKER_15
transcript.pyannote[1310].start 11923.72034375
transcript.pyannote[1310].end 11925.18846875
transcript.pyannote[1311].speaker SPEAKER_03
transcript.pyannote[1311].start 11927.87159375
transcript.pyannote[1311].end 11930.31846875
transcript.pyannote[1312].speaker SPEAKER_03
transcript.pyannote[1312].start 11930.97659375
transcript.pyannote[1312].end 11931.85409375
transcript.pyannote[1313].speaker SPEAKER_03
transcript.pyannote[1313].start 11932.41096875
transcript.pyannote[1313].end 11934.45284375
transcript.pyannote[1314].speaker SPEAKER_03
transcript.pyannote[1314].start 11934.67221875
transcript.pyannote[1314].end 11938.63784375
transcript.pyannote[1315].speaker SPEAKER_02
transcript.pyannote[1315].start 11941.16909375
transcript.pyannote[1315].end 11950.48409375
transcript.pyannote[1316].speaker SPEAKER_02
transcript.pyannote[1316].start 11950.93971875
transcript.pyannote[1316].end 11955.56346875
transcript.pyannote[1317].speaker SPEAKER_02
transcript.pyannote[1317].start 11955.64784375
transcript.pyannote[1317].end 11960.11971875
transcript.pyannote[1318].speaker SPEAKER_02
transcript.pyannote[1318].start 11960.57534375
transcript.pyannote[1318].end 11966.92034375
transcript.pyannote[1319].speaker SPEAKER_02
transcript.pyannote[1319].start 11967.15659375
transcript.pyannote[1319].end 11969.85659375
transcript.pyannote[1320].speaker SPEAKER_02
transcript.pyannote[1320].start 11969.92409375
transcript.pyannote[1320].end 11975.20596875
transcript.pyannote[1321].speaker SPEAKER_02
transcript.pyannote[1321].start 11975.57721875
transcript.pyannote[1321].end 11984.23409375
transcript.pyannote[1322].speaker SPEAKER_02
transcript.pyannote[1322].start 11984.57159375
transcript.pyannote[1322].end 12000.88971875
transcript.pyannote[1323].speaker SPEAKER_02
transcript.pyannote[1323].start 12001.44659375
transcript.pyannote[1323].end 12011.52096875
transcript.pyannote[1324].speaker SPEAKER_02
transcript.pyannote[1324].start 12011.80784375
transcript.pyannote[1324].end 12027.97409375
transcript.pyannote[1325].speaker SPEAKER_02
transcript.pyannote[1325].start 12028.36221875
transcript.pyannote[1325].end 12045.06846875
transcript.pyannote[1326].speaker SPEAKER_02
transcript.pyannote[1326].start 12045.33846875
transcript.pyannote[1326].end 12053.38784375
transcript.pyannote[1327].speaker SPEAKER_02
transcript.pyannote[1327].start 12053.67471875
transcript.pyannote[1327].end 12058.06221875
transcript.pyannote[1328].speaker SPEAKER_02
transcript.pyannote[1328].start 12058.55159375
transcript.pyannote[1328].end 12061.48784375
transcript.pyannote[1329].speaker SPEAKER_02
transcript.pyannote[1329].start 12062.80409375
transcript.pyannote[1329].end 12065.65596875
transcript.pyannote[1330].speaker SPEAKER_02
transcript.pyannote[1330].start 12065.82471875
transcript.pyannote[1330].end 12066.19596875
transcript.pyannote[1331].speaker SPEAKER_02
transcript.pyannote[1331].start 12066.82034375
transcript.pyannote[1331].end 12076.52346875
transcript.pyannote[1332].speaker SPEAKER_02
transcript.pyannote[1332].start 12076.75971875
transcript.pyannote[1332].end 12081.63659375
transcript.pyannote[1333].speaker SPEAKER_02
transcript.pyannote[1333].start 12081.77159375
transcript.pyannote[1333].end 12082.71659375
transcript.pyannote[1334].speaker SPEAKER_02
transcript.pyannote[1334].start 12083.23971875
transcript.pyannote[1334].end 12083.86409375
transcript.pyannote[1335].speaker SPEAKER_02
transcript.pyannote[1335].start 12084.40409375
transcript.pyannote[1335].end 12085.70346875
transcript.pyannote[1336].speaker SPEAKER_02
transcript.pyannote[1336].start 12086.12534375
transcript.pyannote[1336].end 12090.24284375
transcript.pyannote[1337].speaker SPEAKER_02
transcript.pyannote[1337].start 12090.27659375
transcript.pyannote[1337].end 12090.76596875
transcript.pyannote[1338].speaker SPEAKER_15
transcript.pyannote[1338].start 12091.84596875
transcript.pyannote[1338].end 12092.20034375
transcript.pyannote[1339].speaker SPEAKER_15
transcript.pyannote[1339].start 12092.53784375
transcript.pyannote[1339].end 12096.53721875
transcript.pyannote[1340].speaker SPEAKER_02
transcript.pyannote[1340].start 12094.00596875
transcript.pyannote[1340].end 12094.02284375
transcript.pyannote[1341].speaker SPEAKER_03
transcript.pyannote[1341].start 12094.02284375
transcript.pyannote[1341].end 12094.59659375
transcript.pyannote[1342].speaker SPEAKER_03
transcript.pyannote[1342].start 12095.67659375
transcript.pyannote[1342].end 12099.32159375
transcript.pyannote[1343].speaker SPEAKER_15
transcript.pyannote[1343].start 12097.07721875
transcript.pyannote[1343].end 12097.46534375
transcript.pyannote[1344].speaker SPEAKER_15
transcript.pyannote[1344].start 12099.54096875
transcript.pyannote[1344].end 12100.51971875
transcript.pyannote[1345].speaker SPEAKER_03
transcript.pyannote[1345].start 12100.35096875
transcript.pyannote[1345].end 12101.86971875
transcript.pyannote[1346].speaker SPEAKER_15
transcript.pyannote[1346].start 12101.81909375
transcript.pyannote[1346].end 12104.75534375
transcript.pyannote[1347].speaker SPEAKER_03
transcript.pyannote[1347].start 12102.30846875
transcript.pyannote[1347].end 12102.69659375
transcript.pyannote[1348].speaker SPEAKER_03
transcript.pyannote[1348].start 12104.08034375
transcript.pyannote[1348].end 12108.09659375
transcript.pyannote[1349].speaker SPEAKER_03
transcript.pyannote[1349].start 12108.56909375
transcript.pyannote[1349].end 12118.03596875
transcript.pyannote[1350].speaker SPEAKER_15
transcript.pyannote[1350].start 12118.84596875
transcript.pyannote[1350].end 12120.11159375
transcript.pyannote[1351].speaker SPEAKER_03
transcript.pyannote[1351].start 12120.34784375
transcript.pyannote[1351].end 12142.03221875
transcript.pyannote[1352].speaker SPEAKER_00
transcript.pyannote[1352].start 12125.08971875
transcript.pyannote[1352].end 12125.61284375
transcript.pyannote[1353].speaker SPEAKER_13
transcript.pyannote[1353].start 12139.92284375
transcript.pyannote[1353].end 12140.32784375
transcript.pyannote[1354].speaker SPEAKER_13
transcript.pyannote[1354].start 12142.20096875
transcript.pyannote[1354].end 12148.14096875
transcript.pyannote[1355].speaker SPEAKER_03
transcript.pyannote[1355].start 12148.64721875
transcript.pyannote[1355].end 12148.98471875
transcript.pyannote[1356].speaker SPEAKER_13
transcript.pyannote[1356].start 12148.98471875
transcript.pyannote[1356].end 12149.77784375
transcript.pyannote[1357].speaker SPEAKER_03
transcript.pyannote[1357].start 12149.54159375
transcript.pyannote[1357].end 12150.97596875
transcript.pyannote[1358].speaker SPEAKER_13
transcript.pyannote[1358].start 12150.97596875
transcript.pyannote[1358].end 12180.22034375
transcript.pyannote[1359].speaker SPEAKER_13
transcript.pyannote[1359].start 12180.28784375
transcript.pyannote[1359].end 12186.16034375
transcript.pyannote[1360].speaker SPEAKER_13
transcript.pyannote[1360].start 12186.39659375
transcript.pyannote[1360].end 12199.27221875
transcript.pyannote[1361].speaker SPEAKER_13
transcript.pyannote[1361].start 12199.57596875
transcript.pyannote[1361].end 12209.24534375
transcript.pyannote[1362].speaker SPEAKER_13
transcript.pyannote[1362].start 12209.36346875
transcript.pyannote[1362].end 12217.24409375
transcript.pyannote[1363].speaker SPEAKER_15
transcript.pyannote[1363].start 12216.13034375
transcript.pyannote[1363].end 12216.28221875
transcript.pyannote[1364].speaker SPEAKER_13
transcript.pyannote[1364].start 12218.64471875
transcript.pyannote[1364].end 12218.66159375
transcript.pyannote[1365].speaker SPEAKER_15
transcript.pyannote[1365].start 12218.66159375
transcript.pyannote[1365].end 12218.93159375
transcript.pyannote[1366].speaker SPEAKER_15
transcript.pyannote[1366].start 12219.50534375
transcript.pyannote[1366].end 12223.90971875
transcript.pyannote[1367].speaker SPEAKER_15
transcript.pyannote[1367].start 12224.12909375
transcript.pyannote[1367].end 12226.37346875
transcript.pyannote[1368].speaker SPEAKER_16
transcript.pyannote[1368].start 12225.76596875
transcript.pyannote[1368].end 12226.35659375
transcript.pyannote[1369].speaker SPEAKER_16
transcript.pyannote[1369].start 12226.37346875
transcript.pyannote[1369].end 12226.50846875
transcript.pyannote[1370].speaker SPEAKER_15
transcript.pyannote[1370].start 12226.59284375
transcript.pyannote[1370].end 12232.38096875
transcript.pyannote[1371].speaker SPEAKER_16
transcript.pyannote[1371].start 12227.08221875
transcript.pyannote[1371].end 12227.36909375
transcript.pyannote[1372].speaker SPEAKER_16
transcript.pyannote[1372].start 12229.69784375
transcript.pyannote[1372].end 12229.73159375
transcript.pyannote[1373].speaker SPEAKER_03
transcript.pyannote[1373].start 12231.52034375
transcript.pyannote[1373].end 12253.76159375
transcript.pyannote[1374].speaker SPEAKER_00
transcript.pyannote[1374].start 12249.44159375
transcript.pyannote[1374].end 12249.64409375
transcript.pyannote[1375].speaker SPEAKER_16
transcript.pyannote[1375].start 12249.64409375
transcript.pyannote[1375].end 12249.74534375
transcript.pyannote[1376].speaker SPEAKER_00
transcript.pyannote[1376].start 12249.74534375
transcript.pyannote[1376].end 12249.76221875
transcript.pyannote[1377].speaker SPEAKER_03
transcript.pyannote[1377].start 12255.24659375
transcript.pyannote[1377].end 12273.97784375
transcript.pyannote[1378].speaker SPEAKER_03
transcript.pyannote[1378].start 12278.24721875
transcript.pyannote[1378].end 12281.14971875
transcript.pyannote[1379].speaker SPEAKER_03
transcript.pyannote[1379].start 12281.72346875
transcript.pyannote[1379].end 12290.05971875
transcript.pyannote[1380].speaker SPEAKER_03
transcript.pyannote[1380].start 12290.46471875
transcript.pyannote[1380].end 12296.50596875
transcript.pyannote[1381].speaker SPEAKER_03
transcript.pyannote[1381].start 12297.48471875
transcript.pyannote[1381].end 12303.42471875
transcript.pyannote[1382].speaker SPEAKER_03
transcript.pyannote[1382].start 12304.43721875
transcript.pyannote[1382].end 12305.55096875
transcript.pyannote[1383].speaker SPEAKER_03
transcript.pyannote[1383].start 12305.90534375
transcript.pyannote[1383].end 12316.50284375
transcript.pyannote[1384].speaker SPEAKER_03
transcript.pyannote[1384].start 12318.46034375
transcript.pyannote[1384].end 12318.91596875
transcript.pyannote[1385].speaker SPEAKER_03
transcript.pyannote[1385].start 12319.81034375
transcript.pyannote[1385].end 12320.80596875
transcript.pyannote[1386].speaker SPEAKER_15
transcript.pyannote[1386].start 12320.67096875
transcript.pyannote[1386].end 12322.03784375
transcript.pyannote[1387].speaker SPEAKER_03
transcript.pyannote[1387].start 12320.82284375
transcript.pyannote[1387].end 12321.56534375
transcript.pyannote[1388].speaker SPEAKER_03
transcript.pyannote[1388].start 12321.76784375
transcript.pyannote[1388].end 12323.28659375
transcript.pyannote[1389].speaker SPEAKER_16
transcript.pyannote[1389].start 12322.03784375
transcript.pyannote[1389].end 12322.39221875
transcript.pyannote[1390].speaker SPEAKER_15
transcript.pyannote[1390].start 12322.39221875
transcript.pyannote[1390].end 12322.40909375
transcript.pyannote[1391].speaker SPEAKER_16
transcript.pyannote[1391].start 12322.45971875
transcript.pyannote[1391].end 12322.47659375
transcript.pyannote[1392].speaker SPEAKER_16
transcript.pyannote[1392].start 12322.52721875
transcript.pyannote[1392].end 12322.54409375
transcript.pyannote[1393].speaker SPEAKER_15
transcript.pyannote[1393].start 12323.80971875
transcript.pyannote[1393].end 12324.72096875
transcript.pyannote[1394].speaker SPEAKER_03
transcript.pyannote[1394].start 12330.05346875
transcript.pyannote[1394].end 12331.26846875
transcript.pyannote[1395].speaker SPEAKER_03
transcript.pyannote[1395].start 12331.84221875
transcript.pyannote[1395].end 12333.29346875
transcript.pyannote[1396].speaker SPEAKER_13
transcript.pyannote[1396].start 12334.12034375
transcript.pyannote[1396].end 12350.89409375
transcript.pyannote[1397].speaker SPEAKER_03
transcript.pyannote[1397].start 12334.44096875
transcript.pyannote[1397].end 12335.35221875
transcript.pyannote[1398].speaker SPEAKER_03
transcript.pyannote[1398].start 12351.21471875
transcript.pyannote[1398].end 12353.69534375
transcript.pyannote[1399].speaker SPEAKER_03
transcript.pyannote[1399].start 12354.01596875
transcript.pyannote[1399].end 12354.65721875
transcript.pyannote[1400].speaker SPEAKER_15
transcript.pyannote[1400].start 12354.92721875
transcript.pyannote[1400].end 12358.57221875
transcript.pyannote[1401].speaker SPEAKER_03
transcript.pyannote[1401].start 12356.98596875
transcript.pyannote[1401].end 12363.28034375
transcript.pyannote[1402].speaker SPEAKER_15
transcript.pyannote[1402].start 12358.77471875
transcript.pyannote[1402].end 12359.97284375
transcript.pyannote[1403].speaker SPEAKER_15
transcript.pyannote[1403].start 12360.71534375
transcript.pyannote[1403].end 12362.41971875
transcript.pyannote[1404].speaker SPEAKER_15
transcript.pyannote[1404].start 12363.04409375
transcript.pyannote[1404].end 12370.30034375
transcript.pyannote[1405].speaker SPEAKER_03
transcript.pyannote[1405].start 12368.86596875
transcript.pyannote[1405].end 12369.23721875
transcript.pyannote[1406].speaker SPEAKER_00
transcript.pyannote[1406].start 12369.23721875
transcript.pyannote[1406].end 12369.25409375
transcript.pyannote[1407].speaker SPEAKER_15
transcript.pyannote[1407].start 12370.72221875
transcript.pyannote[1407].end 12379.17659375
transcript.pyannote[1408].speaker SPEAKER_15
transcript.pyannote[1408].start 12379.51409375
transcript.pyannote[1408].end 12380.03721875
transcript.pyannote[1409].speaker SPEAKER_15
transcript.pyannote[1409].start 12380.67846875
transcript.pyannote[1409].end 12382.53471875
transcript.pyannote[1410].speaker SPEAKER_15
transcript.pyannote[1410].start 12382.73721875
transcript.pyannote[1410].end 12386.63534375
transcript.pyannote[1411].speaker SPEAKER_15
transcript.pyannote[1411].start 12386.75346875
transcript.pyannote[1411].end 12388.42409375
transcript.pyannote[1412].speaker SPEAKER_15
transcript.pyannote[1412].start 12388.62659375
transcript.pyannote[1412].end 12392.91284375
transcript.pyannote[1413].speaker SPEAKER_15
transcript.pyannote[1413].start 12393.36846875
transcript.pyannote[1413].end 12400.96221875
transcript.pyannote[1414].speaker SPEAKER_15
transcript.pyannote[1414].start 12401.46846875
transcript.pyannote[1414].end 12402.93659375
transcript.pyannote[1415].speaker SPEAKER_15
transcript.pyannote[1415].start 12403.45971875
transcript.pyannote[1415].end 12410.93534375
transcript.pyannote[1416].speaker SPEAKER_15
transcript.pyannote[1416].start 12411.25596875
transcript.pyannote[1416].end 12451.89096875
transcript.pyannote[1417].speaker SPEAKER_15
transcript.pyannote[1417].start 12452.76846875
transcript.pyannote[1417].end 12469.23846875
transcript.pyannote[1418].speaker SPEAKER_03
transcript.pyannote[1418].start 12472.79909375
transcript.pyannote[1418].end 12485.32034375
transcript.pyannote[1419].speaker SPEAKER_07
transcript.pyannote[1419].start 12487.96971875
transcript.pyannote[1419].end 12491.76659375
transcript.pyannote[1420].speaker SPEAKER_07
transcript.pyannote[1420].start 12492.44159375
transcript.pyannote[1420].end 12495.36096875
transcript.pyannote[1421].speaker SPEAKER_07
transcript.pyannote[1421].start 12495.78284375
transcript.pyannote[1421].end 12500.99721875
transcript.pyannote[1422].speaker SPEAKER_07
transcript.pyannote[1422].start 12501.45284375
transcript.pyannote[1422].end 12510.12659375
transcript.pyannote[1423].speaker SPEAKER_07
transcript.pyannote[1423].start 12510.59909375
transcript.pyannote[1423].end 12516.53909375
transcript.pyannote[1424].speaker SPEAKER_07
transcript.pyannote[1424].start 12517.18034375
transcript.pyannote[1424].end 12518.37846875
transcript.pyannote[1425].speaker SPEAKER_07
transcript.pyannote[1425].start 12519.28971875
transcript.pyannote[1425].end 12523.77846875
transcript.pyannote[1426].speaker SPEAKER_07
transcript.pyannote[1426].start 12524.62221875
transcript.pyannote[1426].end 12524.99346875
transcript.pyannote[1427].speaker SPEAKER_07
transcript.pyannote[1427].start 12525.43221875
transcript.pyannote[1427].end 12526.09034375
transcript.pyannote[1428].speaker SPEAKER_07
transcript.pyannote[1428].start 12527.15346875
transcript.pyannote[1428].end 12528.03096875
transcript.pyannote[1429].speaker SPEAKER_07
transcript.pyannote[1429].start 12529.29659375
transcript.pyannote[1429].end 12530.51159375
transcript.pyannote[1430].speaker SPEAKER_07
transcript.pyannote[1430].start 12530.96721875
transcript.pyannote[1430].end 12532.03034375
transcript.pyannote[1431].speaker SPEAKER_07
transcript.pyannote[1431].start 12533.32971875
transcript.pyannote[1431].end 12541.36221875
transcript.pyannote[1432].speaker SPEAKER_07
transcript.pyannote[1432].start 12541.66596875
transcript.pyannote[1432].end 12543.72471875
transcript.pyannote[1433].speaker SPEAKER_07
transcript.pyannote[1433].start 12545.29409375
transcript.pyannote[1433].end 12546.32346875
transcript.pyannote[1434].speaker SPEAKER_07
transcript.pyannote[1434].start 12546.76221875
transcript.pyannote[1434].end 12551.06534375
transcript.pyannote[1435].speaker SPEAKER_03
transcript.pyannote[1435].start 12551.06534375
transcript.pyannote[1435].end 12551.74034375
transcript.pyannote[1436].speaker SPEAKER_03
transcript.pyannote[1436].start 12553.76534375
transcript.pyannote[1436].end 12554.57534375
transcript.pyannote[1437].speaker SPEAKER_06
transcript.pyannote[1437].start 12554.64284375
transcript.pyannote[1437].end 12572.32784375
transcript.pyannote[1438].speaker SPEAKER_03
transcript.pyannote[1438].start 12555.25034375
transcript.pyannote[1438].end 12556.06034375
transcript.pyannote[1439].speaker SPEAKER_03
transcript.pyannote[1439].start 12556.09409375
transcript.pyannote[1439].end 12556.11096875
transcript.pyannote[1440].speaker SPEAKER_16
transcript.pyannote[1440].start 12572.83409375
transcript.pyannote[1440].end 12573.49221875
transcript.pyannote[1441].speaker SPEAKER_06
transcript.pyannote[1441].start 12575.61846875
transcript.pyannote[1441].end 12579.02721875
transcript.pyannote[1442].speaker SPEAKER_16
transcript.pyannote[1442].start 12584.96721875
transcript.pyannote[1442].end 12585.03471875
transcript.pyannote[1443].speaker SPEAKER_16
transcript.pyannote[1443].start 12585.96284375
transcript.pyannote[1443].end 12585.97971875
transcript.pyannote[1444].speaker SPEAKER_16
transcript.pyannote[1444].start 12587.97096875
transcript.pyannote[1444].end 12588.03846875
transcript.pyannote[1445].speaker SPEAKER_16
transcript.pyannote[1445].start 12588.98346875
transcript.pyannote[1445].end 12589.00034375
transcript.pyannote[1446].speaker SPEAKER_07
transcript.pyannote[1446].start 12589.91159375
transcript.pyannote[1446].end 12594.18096875
transcript.pyannote[1447].speaker SPEAKER_07
transcript.pyannote[1447].start 12594.51846875
transcript.pyannote[1447].end 12596.50971875
transcript.pyannote[1448].speaker SPEAKER_07
transcript.pyannote[1448].start 12599.20971875
transcript.pyannote[1448].end 12599.98596875
transcript.pyannote[1449].speaker SPEAKER_03
transcript.pyannote[1449].start 12601.35284375
transcript.pyannote[1449].end 12606.90471875
transcript.pyannote[1450].speaker SPEAKER_15
transcript.pyannote[1450].start 12606.90471875
transcript.pyannote[1450].end 12613.58721875
transcript.pyannote[1451].speaker SPEAKER_03
transcript.pyannote[1451].start 12613.43534375
transcript.pyannote[1451].end 12617.48534375
transcript.pyannote[1452].speaker SPEAKER_15
transcript.pyannote[1452].start 12613.72221875
transcript.pyannote[1452].end 12637.26284375
transcript.pyannote[1453].speaker SPEAKER_03
transcript.pyannote[1453].start 12634.52909375
transcript.pyannote[1453].end 12638.95034375
transcript.pyannote[1454].speaker SPEAKER_15
transcript.pyannote[1454].start 12637.49909375
transcript.pyannote[1454].end 12662.37284375
transcript.pyannote[1455].speaker SPEAKER_15
transcript.pyannote[1455].start 12662.67659375
transcript.pyannote[1455].end 12674.21909375
transcript.pyannote[1456].speaker SPEAKER_15
transcript.pyannote[1456].start 12674.55659375
transcript.pyannote[1456].end 12678.15096875
transcript.pyannote[1457].speaker SPEAKER_15
transcript.pyannote[1457].start 12678.25221875
transcript.pyannote[1457].end 12691.36409375
transcript.pyannote[1458].speaker SPEAKER_03
transcript.pyannote[1458].start 12690.33471875
transcript.pyannote[1458].end 12697.99596875
transcript.pyannote[1459].speaker SPEAKER_02
transcript.pyannote[1459].start 12697.99596875
transcript.pyannote[1459].end 12698.36721875
transcript.pyannote[1460].speaker SPEAKER_02
transcript.pyannote[1460].start 12699.14346875
transcript.pyannote[1460].end 12702.56909375
transcript.pyannote[1461].speaker SPEAKER_03
transcript.pyannote[1461].start 12700.62846875
transcript.pyannote[1461].end 12702.41721875
transcript.pyannote[1462].speaker SPEAKER_16
transcript.pyannote[1462].start 12702.41721875
transcript.pyannote[1462].end 12702.48471875
transcript.pyannote[1463].speaker SPEAKER_16
transcript.pyannote[1463].start 12702.56909375
transcript.pyannote[1463].end 12702.61971875
transcript.pyannote[1464].speaker SPEAKER_02
transcript.pyannote[1464].start 12703.17659375
transcript.pyannote[1464].end 12717.16596875
transcript.pyannote[1465].speaker SPEAKER_02
transcript.pyannote[1465].start 12717.58784375
transcript.pyannote[1465].end 12728.70846875
transcript.pyannote[1466].speaker SPEAKER_02
transcript.pyannote[1466].start 12728.82659375
transcript.pyannote[1466].end 12748.08096875
transcript.pyannote[1467].speaker SPEAKER_02
transcript.pyannote[1467].start 12748.77284375
transcript.pyannote[1467].end 12792.22596875
transcript.pyannote[1468].speaker SPEAKER_02
transcript.pyannote[1468].start 12792.58034375
transcript.pyannote[1468].end 12799.65096875
transcript.pyannote[1469].speaker SPEAKER_02
transcript.pyannote[1469].start 12800.35971875
transcript.pyannote[1469].end 12800.96721875
transcript.pyannote[1470].speaker SPEAKER_22
transcript.pyannote[1470].start 12800.96721875
transcript.pyannote[1470].end 12801.94596875
transcript.pyannote[1471].speaker SPEAKER_22
transcript.pyannote[1471].start 12803.07659375
transcript.pyannote[1471].end 12810.61971875
transcript.pyannote[1472].speaker SPEAKER_22
transcript.pyannote[1472].start 12811.15971875
transcript.pyannote[1472].end 12833.92409375
transcript.pyannote[1473].speaker SPEAKER_22
transcript.pyannote[1473].start 12834.44721875
transcript.pyannote[1473].end 12836.74221875
transcript.pyannote[1474].speaker SPEAKER_22
transcript.pyannote[1474].start 12836.82659375
transcript.pyannote[1474].end 12856.90784375
transcript.pyannote[1475].speaker SPEAKER_00
transcript.pyannote[1475].start 12844.53846875
transcript.pyannote[1475].end 12844.57221875
transcript.pyannote[1476].speaker SPEAKER_00
transcript.pyannote[1476].start 12846.96846875
transcript.pyannote[1476].end 12847.28909375
transcript.pyannote[1477].speaker SPEAKER_03
transcript.pyannote[1477].start 12857.88659375
transcript.pyannote[1477].end 12860.35034375
transcript.pyannote[1478].speaker SPEAKER_22
transcript.pyannote[1478].start 12859.37159375
transcript.pyannote[1478].end 12859.38846875
transcript.pyannote[1479].speaker SPEAKER_06
transcript.pyannote[1479].start 12859.38846875
transcript.pyannote[1479].end 12859.64159375
transcript.pyannote[1480].speaker SPEAKER_22
transcript.pyannote[1480].start 12859.64159375
transcript.pyannote[1480].end 12859.72596875
transcript.pyannote[1481].speaker SPEAKER_06
transcript.pyannote[1481].start 12859.72596875
transcript.pyannote[1481].end 12860.28284375
transcript.pyannote[1482].speaker SPEAKER_06
transcript.pyannote[1482].start 12860.35034375
transcript.pyannote[1482].end 12860.56971875
transcript.pyannote[1483].speaker SPEAKER_03
transcript.pyannote[1483].start 12860.56971875
transcript.pyannote[1483].end 12864.01221875
transcript.pyannote[1484].speaker SPEAKER_06
transcript.pyannote[1484].start 12860.67096875
transcript.pyannote[1484].end 12860.85659375
transcript.pyannote[1485].speaker SPEAKER_06
transcript.pyannote[1485].start 12864.01221875
transcript.pyannote[1485].end 12906.13221875
transcript.pyannote[1486].speaker SPEAKER_06
transcript.pyannote[1486].start 12906.40221875
transcript.pyannote[1486].end 12909.38909375
transcript.pyannote[1487].speaker SPEAKER_06
transcript.pyannote[1487].start 12909.70971875
transcript.pyannote[1487].end 12911.00909375
transcript.pyannote[1488].speaker SPEAKER_06
transcript.pyannote[1488].start 12911.34659375
transcript.pyannote[1488].end 12916.76346875
transcript.pyannote[1489].speaker SPEAKER_06
transcript.pyannote[1489].start 12917.16846875
transcript.pyannote[1489].end 12918.26534375
transcript.pyannote[1490].speaker SPEAKER_06
transcript.pyannote[1490].start 12918.51846875
transcript.pyannote[1490].end 12919.96971875
transcript.pyannote[1491].speaker SPEAKER_06
transcript.pyannote[1491].start 12921.35346875
transcript.pyannote[1491].end 12932.54159375
transcript.pyannote[1492].speaker SPEAKER_06
transcript.pyannote[1492].start 12932.91284375
transcript.pyannote[1492].end 12939.49409375
transcript.pyannote[1493].speaker SPEAKER_06
transcript.pyannote[1493].start 12939.98346875
transcript.pyannote[1493].end 12948.23534375
transcript.pyannote[1494].speaker SPEAKER_06
transcript.pyannote[1494].start 12949.07909375
transcript.pyannote[1494].end 12963.70971875
transcript.pyannote[1495].speaker SPEAKER_03
transcript.pyannote[1495].start 12964.75596875
transcript.pyannote[1495].end 12967.57409375
transcript.pyannote[1496].speaker SPEAKER_03
transcript.pyannote[1496].start 12967.82721875
transcript.pyannote[1496].end 12970.37534375
transcript.pyannote[1497].speaker SPEAKER_03
transcript.pyannote[1497].start 12970.89846875
transcript.pyannote[1497].end 12988.26284375
transcript.pyannote[1498].speaker SPEAKER_03
transcript.pyannote[1498].start 12988.70159375
transcript.pyannote[1498].end 12996.39659375
transcript.pyannote[1499].speaker SPEAKER_15
transcript.pyannote[1499].start 12997.18971875
transcript.pyannote[1499].end 12997.54409375
transcript.pyannote[1500].speaker SPEAKER_15
transcript.pyannote[1500].start 12997.89846875
transcript.pyannote[1500].end 12998.59034375
transcript.pyannote[1501].speaker SPEAKER_03
transcript.pyannote[1501].start 12999.06284375
transcript.pyannote[1501].end 13001.54346875
transcript.pyannote[1502].speaker SPEAKER_13
transcript.pyannote[1502].start 13000.37909375
transcript.pyannote[1502].end 13001.12159375
transcript.pyannote[1503].speaker SPEAKER_13
transcript.pyannote[1503].start 13001.15534375
transcript.pyannote[1503].end 13042.73534375
transcript.pyannote[1504].speaker SPEAKER_13
transcript.pyannote[1504].start 13045.35096875
transcript.pyannote[1504].end 13045.97534375
transcript.pyannote[1505].speaker SPEAKER_15
transcript.pyannote[1505].start 13045.97534375
transcript.pyannote[1505].end 13077.54846875
transcript.pyannote[1506].speaker SPEAKER_15
transcript.pyannote[1506].start 13077.78471875
transcript.pyannote[1506].end 13098.08534375
transcript.pyannote[1507].speaker SPEAKER_03
transcript.pyannote[1507].start 13096.98846875
transcript.pyannote[1507].end 13100.81909375
transcript.pyannote[1508].speaker SPEAKER_15
transcript.pyannote[1508].start 13100.43096875
transcript.pyannote[1508].end 13104.12659375
transcript.pyannote[1509].speaker SPEAKER_03
transcript.pyannote[1509].start 13103.89034375
transcript.pyannote[1509].end 13107.41721875
transcript.pyannote[1510].speaker SPEAKER_07
transcript.pyannote[1510].start 13104.12659375
transcript.pyannote[1510].end 13104.19409375
transcript.pyannote[1511].speaker SPEAKER_07
transcript.pyannote[1511].start 13106.15159375
transcript.pyannote[1511].end 13106.37096875
transcript.pyannote[1512].speaker SPEAKER_15
transcript.pyannote[1512].start 13106.37096875
transcript.pyannote[1512].end 13106.38784375
transcript.pyannote[1513].speaker SPEAKER_15
transcript.pyannote[1513].start 13106.40471875
transcript.pyannote[1513].end 13106.42159375
transcript.pyannote[1514].speaker SPEAKER_07
transcript.pyannote[1514].start 13106.42159375
transcript.pyannote[1514].end 13106.45534375
transcript.pyannote[1515].speaker SPEAKER_07
transcript.pyannote[1515].start 13107.60284375
transcript.pyannote[1515].end 13113.66096875
transcript.pyannote[1516].speaker SPEAKER_07
transcript.pyannote[1516].start 13114.21784375
transcript.pyannote[1516].end 13116.98534375
transcript.pyannote[1517].speaker SPEAKER_07
transcript.pyannote[1517].start 13117.30596875
transcript.pyannote[1517].end 13122.67221875
transcript.pyannote[1518].speaker SPEAKER_07
transcript.pyannote[1518].start 13123.00971875
transcript.pyannote[1518].end 13127.04284375
transcript.pyannote[1519].speaker SPEAKER_07
transcript.pyannote[1519].start 13127.26221875
transcript.pyannote[1519].end 13131.85221875
transcript.pyannote[1520].speaker SPEAKER_07
transcript.pyannote[1520].start 13132.17284375
transcript.pyannote[1520].end 13145.87534375
transcript.pyannote[1521].speaker SPEAKER_07
transcript.pyannote[1521].start 13146.70221875
transcript.pyannote[1521].end 13148.84534375
transcript.pyannote[1522].speaker SPEAKER_07
transcript.pyannote[1522].start 13148.92971875
transcript.pyannote[1522].end 13164.58971875
transcript.pyannote[1523].speaker SPEAKER_07
transcript.pyannote[1523].start 13164.79221875
transcript.pyannote[1523].end 13165.85534375
transcript.pyannote[1524].speaker SPEAKER_07
transcript.pyannote[1524].start 13166.10846875
transcript.pyannote[1524].end 13172.52096875
transcript.pyannote[1525].speaker SPEAKER_07
transcript.pyannote[1525].start 13173.16221875
transcript.pyannote[1525].end 13181.73471875
transcript.pyannote[1526].speaker SPEAKER_07
transcript.pyannote[1526].start 13182.37596875
transcript.pyannote[1526].end 13183.06784375
transcript.pyannote[1527].speaker SPEAKER_07
transcript.pyannote[1527].start 13183.48971875
transcript.pyannote[1527].end 13183.97909375
transcript.pyannote[1528].speaker SPEAKER_07
transcript.pyannote[1528].start 13184.72159375
transcript.pyannote[1528].end 13189.98659375
transcript.pyannote[1529].speaker SPEAKER_07
transcript.pyannote[1529].start 13190.57721875
transcript.pyannote[1529].end 13199.01471875
transcript.pyannote[1530].speaker SPEAKER_07
transcript.pyannote[1530].start 13200.04409375
transcript.pyannote[1530].end 13208.36346875
transcript.pyannote[1531].speaker SPEAKER_07
transcript.pyannote[1531].start 13208.85284375
transcript.pyannote[1531].end 13213.03784375
transcript.pyannote[1532].speaker SPEAKER_07
transcript.pyannote[1532].start 13213.29096875
transcript.pyannote[1532].end 13215.80534375
transcript.pyannote[1533].speaker SPEAKER_07
transcript.pyannote[1533].start 13216.51409375
transcript.pyannote[1533].end 13220.95221875
transcript.pyannote[1534].speaker SPEAKER_07
transcript.pyannote[1534].start 13221.32346875
transcript.pyannote[1534].end 13227.58409375
transcript.pyannote[1535].speaker SPEAKER_07
transcript.pyannote[1535].start 13228.71471875
transcript.pyannote[1535].end 13232.91659375
transcript.pyannote[1536].speaker SPEAKER_07
transcript.pyannote[1536].start 13233.72659375
transcript.pyannote[1536].end 13239.83534375
transcript.pyannote[1537].speaker SPEAKER_07
transcript.pyannote[1537].start 13240.05471875
transcript.pyannote[1537].end 13269.16409375
transcript.pyannote[1538].speaker SPEAKER_07
transcript.pyannote[1538].start 13269.38346875
transcript.pyannote[1538].end 13270.68284375
transcript.pyannote[1539].speaker SPEAKER_03
transcript.pyannote[1539].start 13273.19721875
transcript.pyannote[1539].end 13275.18846875
transcript.pyannote[1540].speaker SPEAKER_03
transcript.pyannote[1540].start 13277.14596875
transcript.pyannote[1540].end 13287.97971875
transcript.pyannote[1541].speaker SPEAKER_03
transcript.pyannote[1541].start 13288.14846875
transcript.pyannote[1541].end 13290.57846875
transcript.pyannote[1542].speaker SPEAKER_03
transcript.pyannote[1542].start 13300.83846875
transcript.pyannote[1542].end 13306.05284375
transcript.pyannote[1543].speaker SPEAKER_03
transcript.pyannote[1543].start 13306.22159375
transcript.pyannote[1543].end 13310.13659375
transcript.pyannote[1544].speaker SPEAKER_03
transcript.pyannote[1544].start 13310.99721875
transcript.pyannote[1544].end 13362.36471875
transcript.pyannote[1545].speaker SPEAKER_03
transcript.pyannote[1545].start 13362.46596875
transcript.pyannote[1545].end 13363.57971875
transcript.pyannote[1546].speaker SPEAKER_03
transcript.pyannote[1546].start 13364.71034375
transcript.pyannote[1546].end 13366.00971875
transcript.pyannote[1547].speaker SPEAKER_03
transcript.pyannote[1547].start 13366.14471875
transcript.pyannote[1547].end 13371.56159375
transcript.pyannote[1548].speaker SPEAKER_13
transcript.pyannote[1548].start 13370.92034375
transcript.pyannote[1548].end 13371.05534375
transcript.pyannote[1549].speaker SPEAKER_13
transcript.pyannote[1549].start 13371.07221875
transcript.pyannote[1549].end 13371.17346875
transcript.pyannote[1550].speaker SPEAKER_13
transcript.pyannote[1550].start 13371.42659375
transcript.pyannote[1550].end 13371.44346875
transcript.pyannote[1551].speaker SPEAKER_13
transcript.pyannote[1551].start 13371.51096875
transcript.pyannote[1551].end 13390.90034375
transcript.pyannote[1552].speaker SPEAKER_03
transcript.pyannote[1552].start 13391.54159375
transcript.pyannote[1552].end 13421.07284375
transcript.pyannote[1553].speaker SPEAKER_03
transcript.pyannote[1553].start 13421.46096875
transcript.pyannote[1553].end 13425.73034375
transcript.pyannote[1554].speaker SPEAKER_03
transcript.pyannote[1554].start 13426.82721875
transcript.pyannote[1554].end 13433.96534375
transcript.pyannote[1555].speaker SPEAKER_03
transcript.pyannote[1555].start 13434.45471875
transcript.pyannote[1555].end 13446.21659375
transcript.pyannote[1556].speaker SPEAKER_03
transcript.pyannote[1556].start 13446.26721875
transcript.pyannote[1556].end 13456.52721875
transcript.pyannote[1557].speaker SPEAKER_03
transcript.pyannote[1557].start 13457.16846875
transcript.pyannote[1557].end 13469.35221875
transcript.pyannote[1558].speaker SPEAKER_03
transcript.pyannote[1558].start 13469.43659375
transcript.pyannote[1558].end 13494.12471875
transcript.pyannote[1559].speaker SPEAKER_03
transcript.pyannote[1559].start 13494.42846875
transcript.pyannote[1559].end 13499.60909375
transcript.pyannote[1560].speaker SPEAKER_03
transcript.pyannote[1560].start 13500.45284375
transcript.pyannote[1560].end 13507.03409375
transcript.pyannote[1561].speaker SPEAKER_03
transcript.pyannote[1561].start 13507.40534375
transcript.pyannote[1561].end 13514.00346875
transcript.pyannote[1562].speaker SPEAKER_03
transcript.pyannote[1562].start 13514.47596875
transcript.pyannote[1562].end 13519.53846875
transcript.pyannote[1563].speaker SPEAKER_03
transcript.pyannote[1563].start 13520.26409375
transcript.pyannote[1563].end 13521.59721875
transcript.pyannote[1564].speaker SPEAKER_03
transcript.pyannote[1564].start 13521.96846875
transcript.pyannote[1564].end 13524.46596875
transcript.pyannote[1565].speaker SPEAKER_03
transcript.pyannote[1565].start 13524.85409375
transcript.pyannote[1565].end 13527.55409375
transcript.pyannote[1566].speaker SPEAKER_03
transcript.pyannote[1566].start 13527.72284375
transcript.pyannote[1566].end 13531.65471875
transcript.pyannote[1567].speaker SPEAKER_03
transcript.pyannote[1567].start 13531.94159375
transcript.pyannote[1567].end 13534.35471875
transcript.pyannote[1568].speaker SPEAKER_03
transcript.pyannote[1568].start 13541.15534375
transcript.pyannote[1568].end 13553.33909375
transcript.pyannote[1569].speaker SPEAKER_17
transcript.pyannote[1569].start 13555.04346875
transcript.pyannote[1569].end 13557.06846875
transcript.pyannote[1570].speaker SPEAKER_17
transcript.pyannote[1570].start 13558.82346875
transcript.pyannote[1570].end 13561.03409375
transcript.pyannote[1571].speaker SPEAKER_17
transcript.pyannote[1571].start 13561.47284375
transcript.pyannote[1571].end 13565.47221875
transcript.pyannote[1572].speaker SPEAKER_17
transcript.pyannote[1572].start 13565.84346875
transcript.pyannote[1572].end 13567.71659375
transcript.pyannote[1573].speaker SPEAKER_17
transcript.pyannote[1573].start 13568.27346875
transcript.pyannote[1573].end 13568.59409375
transcript.pyannote[1574].speaker SPEAKER_17
transcript.pyannote[1574].start 13568.81346875
transcript.pyannote[1574].end 13569.80909375
transcript.pyannote[1575].speaker SPEAKER_17
transcript.pyannote[1575].start 13570.39971875
transcript.pyannote[1575].end 13572.37409375
transcript.pyannote[1576].speaker SPEAKER_03
transcript.pyannote[1576].start 13578.56721875
transcript.pyannote[1576].end 13589.89034375
transcript.pyannote[1577].speaker SPEAKER_03
transcript.pyannote[1577].start 13595.05409375
transcript.pyannote[1577].end 13595.42534375
transcript.pyannote[1578].speaker SPEAKER_03
transcript.pyannote[1578].start 13596.38721875
transcript.pyannote[1578].end 13597.16346875
transcript.pyannote[1579].speaker SPEAKER_03
transcript.pyannote[1579].start 13597.60221875
transcript.pyannote[1579].end 13598.56409375
transcript.pyannote[1580].speaker SPEAKER_03
transcript.pyannote[1580].start 13602.22596875
transcript.pyannote[1580].end 13605.28034375
transcript.pyannote[1581].speaker SPEAKER_03
transcript.pyannote[1581].start 13606.56284375
transcript.pyannote[1581].end 13607.96346875
transcript.pyannote[1582].speaker SPEAKER_02
transcript.pyannote[1582].start 13611.38909375
transcript.pyannote[1582].end 13636.92096875
transcript.pyannote[1583].speaker SPEAKER_02
transcript.pyannote[1583].start 13637.32596875
transcript.pyannote[1583].end 13637.73096875
transcript.pyannote[1584].speaker SPEAKER_02
transcript.pyannote[1584].start 13638.32159375
transcript.pyannote[1584].end 13653.61034375
transcript.pyannote[1585].speaker SPEAKER_02
transcript.pyannote[1585].start 13653.98159375
transcript.pyannote[1585].end 13656.68159375
transcript.pyannote[1586].speaker SPEAKER_02
transcript.pyannote[1586].start 13657.01909375
transcript.pyannote[1586].end 13665.43971875
transcript.pyannote[1587].speaker SPEAKER_15
transcript.pyannote[1587].start 13665.99659375
transcript.pyannote[1587].end 13670.24909375
transcript.pyannote[1588].speaker SPEAKER_03
transcript.pyannote[1588].start 13670.02971875
transcript.pyannote[1588].end 13671.53159375
transcript.pyannote[1589].speaker SPEAKER_15
transcript.pyannote[1589].start 13670.70471875
transcript.pyannote[1589].end 13671.26159375
transcript.pyannote[1590].speaker SPEAKER_15
transcript.pyannote[1590].start 13672.27409375
transcript.pyannote[1590].end 13752.00846875
transcript.pyannote[1591].speaker SPEAKER_03
transcript.pyannote[1591].start 13751.06346875
transcript.pyannote[1591].end 13753.22346875
transcript.pyannote[1592].speaker SPEAKER_15
transcript.pyannote[1592].start 13753.25721875
transcript.pyannote[1592].end 13754.52284375
transcript.pyannote[1593].speaker SPEAKER_03
transcript.pyannote[1593].start 13754.57346875
transcript.pyannote[1593].end 13758.99471875
transcript.pyannote[1594].speaker SPEAKER_15
transcript.pyannote[1594].start 13759.73721875
transcript.pyannote[1594].end 13762.23471875
transcript.pyannote[1595].speaker SPEAKER_03
transcript.pyannote[1595].start 13761.27284375
transcript.pyannote[1595].end 13778.16471875
transcript.pyannote[1596].speaker SPEAKER_00
transcript.pyannote[1596].start 13769.94659375
transcript.pyannote[1596].end 13770.03096875
transcript.pyannote[1597].speaker SPEAKER_15
transcript.pyannote[1597].start 13770.03096875
transcript.pyannote[1597].end 13771.39784375
transcript.pyannote[1598].speaker SPEAKER_00
transcript.pyannote[1598].start 13773.43971875
transcript.pyannote[1598].end 13773.45659375
transcript.pyannote[1599].speaker SPEAKER_15
transcript.pyannote[1599].start 13773.45659375
transcript.pyannote[1599].end 13774.36784375
transcript.pyannote[1600].speaker SPEAKER_15
transcript.pyannote[1600].start 13774.80659375
transcript.pyannote[1600].end 13775.80221875
transcript.pyannote[1601].speaker SPEAKER_03
transcript.pyannote[1601].start 13778.94096875
transcript.pyannote[1601].end 13779.66659375
transcript.pyannote[1602].speaker SPEAKER_15
transcript.pyannote[1602].start 13779.29534375
transcript.pyannote[1602].end 13782.28221875
transcript.pyannote[1603].speaker SPEAKER_03
transcript.pyannote[1603].start 13782.70409375
transcript.pyannote[1603].end 13785.94409375
transcript.pyannote[1604].speaker SPEAKER_15
transcript.pyannote[1604].start 13783.00784375
transcript.pyannote[1604].end 13788.57659375
transcript.pyannote[1605].speaker SPEAKER_03
transcript.pyannote[1605].start 13788.74534375
transcript.pyannote[1605].end 13792.44096875
transcript.pyannote[1606].speaker SPEAKER_15
transcript.pyannote[1606].start 13789.70721875
transcript.pyannote[1606].end 13790.71971875
transcript.pyannote[1607].speaker SPEAKER_02
transcript.pyannote[1607].start 13794.71909375
transcript.pyannote[1607].end 13801.68846875
transcript.pyannote[1608].speaker SPEAKER_02
transcript.pyannote[1608].start 13802.51534375
transcript.pyannote[1608].end 13808.10096875
transcript.pyannote[1609].speaker SPEAKER_02
transcript.pyannote[1609].start 13809.07971875
transcript.pyannote[1609].end 13816.50471875
transcript.pyannote[1610].speaker SPEAKER_03
transcript.pyannote[1610].start 13818.07409375
transcript.pyannote[1610].end 13820.41971875
transcript.pyannote[1611].speaker SPEAKER_03
transcript.pyannote[1611].start 13820.43659375
transcript.pyannote[1611].end 13825.29659375
transcript.pyannote[1612].speaker SPEAKER_02
transcript.pyannote[1612].start 13820.62221875
transcript.pyannote[1612].end 13820.85846875
transcript.pyannote[1613].speaker SPEAKER_11
transcript.pyannote[1613].start 13820.85846875
transcript.pyannote[1613].end 13820.95971875
transcript.pyannote[1614].speaker SPEAKER_02
transcript.pyannote[1614].start 13820.95971875
transcript.pyannote[1614].end 13821.07784375
transcript.pyannote[1615].speaker SPEAKER_11
transcript.pyannote[1615].start 13825.85346875
transcript.pyannote[1615].end 13826.07284375
transcript.pyannote[1616].speaker SPEAKER_11
transcript.pyannote[1616].start 13826.29221875
transcript.pyannote[1616].end 13878.30096875
transcript.pyannote[1617].speaker SPEAKER_00
transcript.pyannote[1617].start 13835.40471875
transcript.pyannote[1617].end 13836.26534375
transcript.pyannote[1618].speaker SPEAKER_00
transcript.pyannote[1618].start 13848.82034375
transcript.pyannote[1618].end 13848.83721875
transcript.pyannote[1619].speaker SPEAKER_16
transcript.pyannote[1619].start 13848.83721875
transcript.pyannote[1619].end 13850.00159375
transcript.pyannote[1620].speaker SPEAKER_00
transcript.pyannote[1620].start 13850.00159375
transcript.pyannote[1620].end 13850.08596875
transcript.pyannote[1621].speaker SPEAKER_11
transcript.pyannote[1621].start 13878.33471875
transcript.pyannote[1621].end 13912.37159375
transcript.pyannote[1622].speaker SPEAKER_07
transcript.pyannote[1622].start 13913.43471875
transcript.pyannote[1622].end 13916.01659375
transcript.pyannote[1623].speaker SPEAKER_11
transcript.pyannote[1623].start 13913.63721875
transcript.pyannote[1623].end 13913.80596875
transcript.pyannote[1624].speaker SPEAKER_11
transcript.pyannote[1624].start 13913.97471875
transcript.pyannote[1624].end 13914.95346875
transcript.pyannote[1625].speaker SPEAKER_22
transcript.pyannote[1625].start 13916.13471875
transcript.pyannote[1625].end 13919.49284375
transcript.pyannote[1626].speaker SPEAKER_07
transcript.pyannote[1626].start 13918.12596875
transcript.pyannote[1626].end 13918.26096875
transcript.pyannote[1627].speaker SPEAKER_07
transcript.pyannote[1627].start 13918.44659375
transcript.pyannote[1627].end 13919.69534375
transcript.pyannote[1628].speaker SPEAKER_07
transcript.pyannote[1628].start 13921.14659375
transcript.pyannote[1628].end 13921.72034375
transcript.pyannote[1629].speaker SPEAKER_07
transcript.pyannote[1629].start 13922.54721875
transcript.pyannote[1629].end 13923.61034375
transcript.pyannote[1630].speaker SPEAKER_07
transcript.pyannote[1630].start 13924.82534375
transcript.pyannote[1630].end 13931.65971875
transcript.pyannote[1631].speaker SPEAKER_07
transcript.pyannote[1631].start 13932.13221875
transcript.pyannote[1631].end 13932.62159375
transcript.pyannote[1632].speaker SPEAKER_07
transcript.pyannote[1632].start 13932.97596875
transcript.pyannote[1632].end 13933.65096875
transcript.pyannote[1633].speaker SPEAKER_07
transcript.pyannote[1633].start 13934.19096875
transcript.pyannote[1633].end 13935.82784375
transcript.pyannote[1634].speaker SPEAKER_07
transcript.pyannote[1634].start 13936.09784375
transcript.pyannote[1634].end 13936.70534375
transcript.pyannote[1635].speaker SPEAKER_07
transcript.pyannote[1635].start 13937.24534375
transcript.pyannote[1635].end 13940.24909375
transcript.pyannote[1636].speaker SPEAKER_07
transcript.pyannote[1636].start 13940.97471875
transcript.pyannote[1636].end 13942.74659375
transcript.pyannote[1637].speaker SPEAKER_07
transcript.pyannote[1637].start 13943.25284375
transcript.pyannote[1637].end 13950.52596875
transcript.pyannote[1638].speaker SPEAKER_07
transcript.pyannote[1638].start 13951.42034375
transcript.pyannote[1638].end 13958.87909375
transcript.pyannote[1639].speaker SPEAKER_07
transcript.pyannote[1639].start 13959.25034375
transcript.pyannote[1639].end 13964.11034375
transcript.pyannote[1640].speaker SPEAKER_07
transcript.pyannote[1640].start 13964.86971875
transcript.pyannote[1640].end 13966.03409375
transcript.pyannote[1641].speaker SPEAKER_07
transcript.pyannote[1641].start 13967.14784375
transcript.pyannote[1641].end 13968.22784375
transcript.pyannote[1642].speaker SPEAKER_07
transcript.pyannote[1642].start 13968.63284375
transcript.pyannote[1642].end 13989.92909375
transcript.pyannote[1643].speaker SPEAKER_07
transcript.pyannote[1643].start 13990.41846875
transcript.pyannote[1643].end 13991.83596875
transcript.pyannote[1644].speaker SPEAKER_07
transcript.pyannote[1644].start 13992.74721875
transcript.pyannote[1644].end 13993.54034375
transcript.pyannote[1645].speaker SPEAKER_07
transcript.pyannote[1645].start 13993.87784375
transcript.pyannote[1645].end 14025.67034375
transcript.pyannote[1646].speaker SPEAKER_07
transcript.pyannote[1646].start 14027.17221875
transcript.pyannote[1646].end 14028.65721875
transcript.pyannote[1647].speaker SPEAKER_07
transcript.pyannote[1647].start 14030.51346875
transcript.pyannote[1647].end 14033.75346875
transcript.pyannote[1648].speaker SPEAKER_07
transcript.pyannote[1648].start 14034.61409375
transcript.pyannote[1648].end 14035.49159375
transcript.pyannote[1649].speaker SPEAKER_07
transcript.pyannote[1649].start 14036.60534375
transcript.pyannote[1649].end 14037.58409375
transcript.pyannote[1650].speaker SPEAKER_07
transcript.pyannote[1650].start 14038.05659375
transcript.pyannote[1650].end 14041.19534375
transcript.pyannote[1651].speaker SPEAKER_07
transcript.pyannote[1651].start 14041.68471875
transcript.pyannote[1651].end 14051.16846875
transcript.pyannote[1652].speaker SPEAKER_22
transcript.pyannote[1652].start 14053.41284375
transcript.pyannote[1652].end 14055.03284375
transcript.pyannote[1653].speaker SPEAKER_22
transcript.pyannote[1653].start 14055.35346875
transcript.pyannote[1653].end 14057.04096875
transcript.pyannote[1654].speaker SPEAKER_22
transcript.pyannote[1654].start 14057.15909375
transcript.pyannote[1654].end 14057.58096875
transcript.pyannote[1655].speaker SPEAKER_22
transcript.pyannote[1655].start 14058.10409375
transcript.pyannote[1655].end 14060.29784375
transcript.pyannote[1656].speaker SPEAKER_15
transcript.pyannote[1656].start 14059.25159375
transcript.pyannote[1656].end 14067.41909375
transcript.pyannote[1657].speaker SPEAKER_15
transcript.pyannote[1657].start 14067.75659375
transcript.pyannote[1657].end 14075.99159375
transcript.pyannote[1658].speaker SPEAKER_15
transcript.pyannote[1658].start 14076.97034375
transcript.pyannote[1658].end 14086.40346875
transcript.pyannote[1659].speaker SPEAKER_15
transcript.pyannote[1659].start 14086.82534375
transcript.pyannote[1659].end 14091.90471875
transcript.pyannote[1660].speaker SPEAKER_15
transcript.pyannote[1660].start 14092.27596875
transcript.pyannote[1660].end 14103.51471875
transcript.pyannote[1661].speaker SPEAKER_15
transcript.pyannote[1661].start 14103.71721875
transcript.pyannote[1661].end 14110.85534375
transcript.pyannote[1662].speaker SPEAKER_15
transcript.pyannote[1662].start 14111.78346875
transcript.pyannote[1662].end 14134.26096875
transcript.pyannote[1663].speaker SPEAKER_15
transcript.pyannote[1663].start 14135.30721875
transcript.pyannote[1663].end 14141.82096875
transcript.pyannote[1664].speaker SPEAKER_15
transcript.pyannote[1664].start 14141.97284375
transcript.pyannote[1664].end 14156.36721875
transcript.pyannote[1665].speaker SPEAKER_15
transcript.pyannote[1665].start 14157.51471875
transcript.pyannote[1665].end 14158.57784375
transcript.pyannote[1666].speaker SPEAKER_15
transcript.pyannote[1666].start 14159.25284375
transcript.pyannote[1666].end 14163.97784375
transcript.pyannote[1667].speaker SPEAKER_15
transcript.pyannote[1667].start 14165.32784375
transcript.pyannote[1667].end 14169.37784375
transcript.pyannote[1668].speaker SPEAKER_15
transcript.pyannote[1668].start 14170.32284375
transcript.pyannote[1668].end 14201.13659375
transcript.pyannote[1669].speaker SPEAKER_06
transcript.pyannote[1669].start 14195.98971875
transcript.pyannote[1669].end 14196.36096875
transcript.pyannote[1670].speaker SPEAKER_00
transcript.pyannote[1670].start 14196.36096875
transcript.pyannote[1670].end 14196.39471875
transcript.pyannote[1671].speaker SPEAKER_15
transcript.pyannote[1671].start 14201.23784375
transcript.pyannote[1671].end 14205.05159375
transcript.pyannote[1672].speaker SPEAKER_03
transcript.pyannote[1672].start 14203.92096875
transcript.pyannote[1672].end 14208.62909375
transcript.pyannote[1673].speaker SPEAKER_11
transcript.pyannote[1673].start 14209.65846875
transcript.pyannote[1673].end 14212.18971875
transcript.pyannote[1674].speaker SPEAKER_03
transcript.pyannote[1674].start 14211.59909375
transcript.pyannote[1674].end 14212.27409375
transcript.pyannote[1675].speaker SPEAKER_03
transcript.pyannote[1675].start 14212.84784375
transcript.pyannote[1675].end 14215.29471875
transcript.pyannote[1676].speaker SPEAKER_11
transcript.pyannote[1676].start 14213.45534375
transcript.pyannote[1676].end 14213.82659375
transcript.pyannote[1677].speaker SPEAKER_11
transcript.pyannote[1677].start 14214.50159375
transcript.pyannote[1677].end 14215.24409375
transcript.pyannote[1678].speaker SPEAKER_11
transcript.pyannote[1678].start 14215.29471875
transcript.pyannote[1678].end 14215.31159375
transcript.pyannote[1679].speaker SPEAKER_03
transcript.pyannote[1679].start 14215.31159375
transcript.pyannote[1679].end 14215.86846875
transcript.pyannote[1680].speaker SPEAKER_11
transcript.pyannote[1680].start 14215.86846875
transcript.pyannote[1680].end 14272.45034375
transcript.pyannote[1681].speaker SPEAKER_03
transcript.pyannote[1681].start 14216.02034375
transcript.pyannote[1681].end 14216.89784375
transcript.pyannote[1682].speaker SPEAKER_03
transcript.pyannote[1682].start 14274.27284375
transcript.pyannote[1682].end 14274.74534375
transcript.pyannote[1683].speaker SPEAKER_07
transcript.pyannote[1683].start 14276.01096875
transcript.pyannote[1683].end 14276.93909375
transcript.pyannote[1684].speaker SPEAKER_07
transcript.pyannote[1684].start 14277.69846875
transcript.pyannote[1684].end 14284.54971875
transcript.pyannote[1685].speaker SPEAKER_07
transcript.pyannote[1685].start 14286.22034375
transcript.pyannote[1685].end 14292.19409375
transcript.pyannote[1686].speaker SPEAKER_07
transcript.pyannote[1686].start 14292.95346875
transcript.pyannote[1686].end 14302.77471875
transcript.pyannote[1687].speaker SPEAKER_07
transcript.pyannote[1687].start 14303.14596875
transcript.pyannote[1687].end 14308.37721875
transcript.pyannote[1688].speaker SPEAKER_07
transcript.pyannote[1688].start 14308.93409375
transcript.pyannote[1688].end 14323.49721875
transcript.pyannote[1689].speaker SPEAKER_07
transcript.pyannote[1689].start 14324.08784375
transcript.pyannote[1689].end 14328.13784375
transcript.pyannote[1690].speaker SPEAKER_07
transcript.pyannote[1690].start 14328.39096875
transcript.pyannote[1690].end 14329.75784375
transcript.pyannote[1691].speaker SPEAKER_07
transcript.pyannote[1691].start 14330.46659375
transcript.pyannote[1691].end 14333.40284375
transcript.pyannote[1692].speaker SPEAKER_07
transcript.pyannote[1692].start 14334.46596875
transcript.pyannote[1692].end 14336.22096875
transcript.pyannote[1693].speaker SPEAKER_07
transcript.pyannote[1693].start 14336.81159375
transcript.pyannote[1693].end 14337.87471875
transcript.pyannote[1694].speaker SPEAKER_07
transcript.pyannote[1694].start 14338.75221875
transcript.pyannote[1694].end 14347.51034375
transcript.pyannote[1695].speaker SPEAKER_07
transcript.pyannote[1695].start 14347.93221875
transcript.pyannote[1695].end 14353.87221875
transcript.pyannote[1696].speaker SPEAKER_07
transcript.pyannote[1696].start 14354.41221875
transcript.pyannote[1696].end 14358.64784375
transcript.pyannote[1697].speaker SPEAKER_07
transcript.pyannote[1697].start 14359.57596875
transcript.pyannote[1697].end 14361.82034375
transcript.pyannote[1698].speaker SPEAKER_03
transcript.pyannote[1698].start 14359.72784375
transcript.pyannote[1698].end 14359.89659375
transcript.pyannote[1699].speaker SPEAKER_03
transcript.pyannote[1699].start 14361.82034375
transcript.pyannote[1699].end 14367.18659375
transcript.pyannote[1700].speaker SPEAKER_03
transcript.pyannote[1700].start 14367.59159375
transcript.pyannote[1700].end 14369.68409375
transcript.pyannote[1701].speaker SPEAKER_03
transcript.pyannote[1701].start 14370.27471875
transcript.pyannote[1701].end 14371.82721875
transcript.pyannote[1702].speaker SPEAKER_03
transcript.pyannote[1702].start 14373.17721875
transcript.pyannote[1702].end 14375.43846875
transcript.pyannote[1703].speaker SPEAKER_15
transcript.pyannote[1703].start 14375.97846875
transcript.pyannote[1703].end 14376.07971875
transcript.pyannote[1704].speaker SPEAKER_15
transcript.pyannote[1704].start 14376.77159375
transcript.pyannote[1704].end 14381.12534375
transcript.pyannote[1705].speaker SPEAKER_03
transcript.pyannote[1705].start 14380.92284375
transcript.pyannote[1705].end 14382.82971875
transcript.pyannote[1706].speaker SPEAKER_15
transcript.pyannote[1706].start 14382.05346875
transcript.pyannote[1706].end 14384.51721875
transcript.pyannote[1707].speaker SPEAKER_03
transcript.pyannote[1707].start 14383.53846875
transcript.pyannote[1707].end 14388.93846875
transcript.pyannote[1708].speaker SPEAKER_15
transcript.pyannote[1708].start 14386.79534375
transcript.pyannote[1708].end 14386.96409375
transcript.pyannote[1709].speaker SPEAKER_07
transcript.pyannote[1709].start 14389.41096875
transcript.pyannote[1709].end 14395.73909375
transcript.pyannote[1710].speaker SPEAKER_03
transcript.pyannote[1710].start 14393.34284375
transcript.pyannote[1710].end 14396.97096875
transcript.pyannote[1711].speaker SPEAKER_15
transcript.pyannote[1711].start 14395.73909375
transcript.pyannote[1711].end 14395.77284375
transcript.pyannote[1712].speaker SPEAKER_15
transcript.pyannote[1712].start 14396.76846875
transcript.pyannote[1712].end 14396.95409375
transcript.pyannote[1713].speaker SPEAKER_15
transcript.pyannote[1713].start 14396.97096875
transcript.pyannote[1713].end 14397.44346875
transcript.pyannote[1714].speaker SPEAKER_03
transcript.pyannote[1714].start 14397.30846875
transcript.pyannote[1714].end 14399.62034375
transcript.pyannote[1715].speaker SPEAKER_07
transcript.pyannote[1715].start 14397.44346875
transcript.pyannote[1715].end 14397.46034375
transcript.pyannote[1716].speaker SPEAKER_15
transcript.pyannote[1716].start 14397.46034375
transcript.pyannote[1716].end 14397.69659375
transcript.pyannote[1717].speaker SPEAKER_07
transcript.pyannote[1717].start 14397.69659375
transcript.pyannote[1717].end 14398.74284375
transcript.pyannote[1718].speaker SPEAKER_15
transcript.pyannote[1718].start 14398.74284375
transcript.pyannote[1718].end 14398.75971875
transcript.pyannote[1719].speaker SPEAKER_15
transcript.pyannote[1719].start 14399.29971875
transcript.pyannote[1719].end 14401.66221875
transcript.pyannote[1720].speaker SPEAKER_03
transcript.pyannote[1720].start 14401.88159375
transcript.pyannote[1720].end 14404.61534375
transcript.pyannote[1721].speaker SPEAKER_15
transcript.pyannote[1721].start 14403.18096875
transcript.pyannote[1721].end 14403.80534375
transcript.pyannote[1722].speaker SPEAKER_15
transcript.pyannote[1722].start 14404.59846875
transcript.pyannote[1722].end 14408.26034375
transcript.pyannote[1723].speaker SPEAKER_03
transcript.pyannote[1723].start 14408.44596875
transcript.pyannote[1723].end 14410.87596875
transcript.pyannote[1724].speaker SPEAKER_15
transcript.pyannote[1724].start 14408.86784375
transcript.pyannote[1724].end 14409.54284375
transcript.pyannote[1725].speaker SPEAKER_15
transcript.pyannote[1725].start 14411.17971875
transcript.pyannote[1725].end 14412.24284375
transcript.pyannote[1726].speaker SPEAKER_03
transcript.pyannote[1726].start 14411.92221875
transcript.pyannote[1726].end 14413.42409375
transcript.pyannote[1727].speaker SPEAKER_15
transcript.pyannote[1727].start 14413.13721875
transcript.pyannote[1727].end 14423.80221875
transcript.pyannote[1728].speaker SPEAKER_15
transcript.pyannote[1728].start 14424.07221875
transcript.pyannote[1728].end 14431.34534375
transcript.pyannote[1729].speaker SPEAKER_15
transcript.pyannote[1729].start 14431.68284375
transcript.pyannote[1729].end 14439.86721875
transcript.pyannote[1730].speaker SPEAKER_07
transcript.pyannote[1730].start 14432.27346875
transcript.pyannote[1730].end 14432.54346875
transcript.pyannote[1731].speaker SPEAKER_07
transcript.pyannote[1731].start 14436.45846875
transcript.pyannote[1731].end 14437.21784375
transcript.pyannote[1732].speaker SPEAKER_00
transcript.pyannote[1732].start 14437.21784375
transcript.pyannote[1732].end 14437.45409375
transcript.pyannote[1733].speaker SPEAKER_07
transcript.pyannote[1733].start 14437.45409375
transcript.pyannote[1733].end 14437.97721875
transcript.pyannote[1734].speaker SPEAKER_16
transcript.pyannote[1734].start 14437.97721875
transcript.pyannote[1734].end 14438.33159375
transcript.pyannote[1735].speaker SPEAKER_00
transcript.pyannote[1735].start 14438.33159375
transcript.pyannote[1735].end 14438.36534375
transcript.pyannote[1736].speaker SPEAKER_15
transcript.pyannote[1736].start 14441.31846875
transcript.pyannote[1736].end 14442.83721875
transcript.pyannote[1737].speaker SPEAKER_15
transcript.pyannote[1737].start 14443.66409375
transcript.pyannote[1737].end 14445.77346875
transcript.pyannote[1738].speaker SPEAKER_07
transcript.pyannote[1738].start 14445.77346875
transcript.pyannote[1738].end 14445.84096875
transcript.pyannote[1739].speaker SPEAKER_07
transcript.pyannote[1739].start 14447.46096875
transcript.pyannote[1739].end 14452.79346875
transcript.pyannote[1740].speaker SPEAKER_07
transcript.pyannote[1740].start 14453.23221875
transcript.pyannote[1740].end 14453.89034375
transcript.pyannote[1741].speaker SPEAKER_07
transcript.pyannote[1741].start 14453.94096875
transcript.pyannote[1741].end 14456.33721875
transcript.pyannote[1742].speaker SPEAKER_15
transcript.pyannote[1742].start 14454.05909375
transcript.pyannote[1742].end 14454.43034375
transcript.pyannote[1743].speaker SPEAKER_15
transcript.pyannote[1743].start 14455.51034375
transcript.pyannote[1743].end 14456.30346875
transcript.pyannote[1744].speaker SPEAKER_15
transcript.pyannote[1744].start 14456.33721875
transcript.pyannote[1744].end 14456.57346875
transcript.pyannote[1745].speaker SPEAKER_15
transcript.pyannote[1745].start 14457.50159375
transcript.pyannote[1745].end 14459.12159375
transcript.pyannote[1746].speaker SPEAKER_15
transcript.pyannote[1746].start 14459.27346875
transcript.pyannote[1746].end 14460.52221875
transcript.pyannote[1747].speaker SPEAKER_15
transcript.pyannote[1747].start 14461.33221875
transcript.pyannote[1747].end 14461.97346875
transcript.pyannote[1748].speaker SPEAKER_03
transcript.pyannote[1748].start 14462.93534375
transcript.pyannote[1748].end 14465.38221875
transcript.pyannote[1749].speaker SPEAKER_15
transcript.pyannote[1749].start 14464.03221875
transcript.pyannote[1749].end 14466.78284375
transcript.pyannote[1750].speaker SPEAKER_03
transcript.pyannote[1750].start 14466.49596875
transcript.pyannote[1750].end 14467.32284375
transcript.pyannote[1751].speaker SPEAKER_15
transcript.pyannote[1751].start 14467.32284375
transcript.pyannote[1751].end 14467.35659375
transcript.pyannote[1752].speaker SPEAKER_15
transcript.pyannote[1752].start 14467.52534375
transcript.pyannote[1752].end 14470.49534375
transcript.pyannote[1753].speaker SPEAKER_03
transcript.pyannote[1753].start 14470.51221875
transcript.pyannote[1753].end 14471.03534375
transcript.pyannote[1754].speaker SPEAKER_15
transcript.pyannote[1754].start 14471.03534375
transcript.pyannote[1754].end 14471.05221875
transcript.pyannote[1755].speaker SPEAKER_03
transcript.pyannote[1755].start 14471.76096875
transcript.pyannote[1755].end 14478.07221875
transcript.pyannote[1756].speaker SPEAKER_03
transcript.pyannote[1756].start 14478.79784375
transcript.pyannote[1756].end 14482.56096875
transcript.pyannote[1757].speaker SPEAKER_03
transcript.pyannote[1757].start 14483.53971875
transcript.pyannote[1757].end 14483.96159375
transcript.pyannote[1758].speaker SPEAKER_03
transcript.pyannote[1758].start 14485.59846875
transcript.pyannote[1758].end 14486.37471875
transcript.pyannote[1759].speaker SPEAKER_03
transcript.pyannote[1759].start 14487.08346875
transcript.pyannote[1759].end 14488.34909375
transcript.pyannote[1760].speaker SPEAKER_15
transcript.pyannote[1760].start 14487.87659375
transcript.pyannote[1760].end 14488.28159375
transcript.pyannote[1761].speaker SPEAKER_15
transcript.pyannote[1761].start 14488.34909375
transcript.pyannote[1761].end 14488.36596875
transcript.pyannote[1762].speaker SPEAKER_15
transcript.pyannote[1762].start 14488.82159375
transcript.pyannote[1762].end 14492.31471875
transcript.pyannote[1763].speaker SPEAKER_03
transcript.pyannote[1763].start 14492.01096875
transcript.pyannote[1763].end 14496.44909375
transcript.pyannote[1764].speaker SPEAKER_15
transcript.pyannote[1764].start 14497.74846875
transcript.pyannote[1764].end 14498.03534375
transcript.pyannote[1765].speaker SPEAKER_15
transcript.pyannote[1765].start 14499.57096875
transcript.pyannote[1765].end 14500.02659375
transcript.pyannote[1766].speaker SPEAKER_15
transcript.pyannote[1766].start 14500.31346875
transcript.pyannote[1766].end 14505.94971875
transcript.pyannote[1767].speaker SPEAKER_03
transcript.pyannote[1767].start 14505.91596875
transcript.pyannote[1767].end 14509.72971875
transcript.pyannote[1768].speaker SPEAKER_03
transcript.pyannote[1768].start 14520.93471875
transcript.pyannote[1768].end 14522.35221875
transcript.pyannote[1769].speaker SPEAKER_03
transcript.pyannote[1769].start 14522.50409375
transcript.pyannote[1769].end 14529.06846875
transcript.pyannote[1770].speaker SPEAKER_03
transcript.pyannote[1770].start 14529.49034375
transcript.pyannote[1770].end 14531.97096875
transcript.pyannote[1771].speaker SPEAKER_17
transcript.pyannote[1771].start 14531.97096875
transcript.pyannote[1771].end 14532.00471875
transcript.pyannote[1772].speaker SPEAKER_17
transcript.pyannote[1772].start 14532.96659375
transcript.pyannote[1772].end 14535.85221875
transcript.pyannote[1773].speaker SPEAKER_17
transcript.pyannote[1773].start 14537.16846875
transcript.pyannote[1773].end 14538.02909375
transcript.pyannote[1774].speaker SPEAKER_17
transcript.pyannote[1774].start 14538.67034375
transcript.pyannote[1774].end 14539.21034375
transcript.pyannote[1775].speaker SPEAKER_17
transcript.pyannote[1775].start 14540.20596875
transcript.pyannote[1775].end 14544.71159375
transcript.pyannote[1776].speaker SPEAKER_17
transcript.pyannote[1776].start 14545.20096875
transcript.pyannote[1776].end 14547.69846875
transcript.pyannote[1777].speaker SPEAKER_17
transcript.pyannote[1777].start 14547.85034375
transcript.pyannote[1777].end 14551.76534375
transcript.pyannote[1778].speaker SPEAKER_17
transcript.pyannote[1778].start 14553.13221875
transcript.pyannote[1778].end 14556.18659375
transcript.pyannote[1779].speaker SPEAKER_17
transcript.pyannote[1779].start 14556.74346875
transcript.pyannote[1779].end 14561.92409375
transcript.pyannote[1780].speaker SPEAKER_17
transcript.pyannote[1780].start 14562.19409375
transcript.pyannote[1780].end 14567.13846875
transcript.pyannote[1781].speaker SPEAKER_17
transcript.pyannote[1781].start 14567.50971875
transcript.pyannote[1781].end 14568.74159375
transcript.pyannote[1782].speaker SPEAKER_17
transcript.pyannote[1782].start 14569.12971875
transcript.pyannote[1782].end 14574.32721875
transcript.pyannote[1783].speaker SPEAKER_03
transcript.pyannote[1783].start 14582.73096875
transcript.pyannote[1783].end 14584.46909375
transcript.pyannote[1784].speaker SPEAKER_09
transcript.pyannote[1784].start 14584.46909375
transcript.pyannote[1784].end 14585.34659375
transcript.pyannote[1785].speaker SPEAKER_09
transcript.pyannote[1785].start 14586.79784375
transcript.pyannote[1785].end 14587.42221875
transcript.pyannote[1786].speaker SPEAKER_03
transcript.pyannote[1786].start 14589.22784375
transcript.pyannote[1786].end 14589.81846875
transcript.pyannote[1787].speaker SPEAKER_03
transcript.pyannote[1787].start 14589.97034375
transcript.pyannote[1787].end 14590.03784375
transcript.pyannote[1788].speaker SPEAKER_03
transcript.pyannote[1788].start 14590.07159375
transcript.pyannote[1788].end 14591.01659375
transcript.pyannote[1789].speaker SPEAKER_03
transcript.pyannote[1789].start 14595.82596875
transcript.pyannote[1789].end 14598.18846875
transcript.pyannote[1790].speaker SPEAKER_03
transcript.pyannote[1790].start 14598.32346875
transcript.pyannote[1790].end 14598.89721875
transcript.pyannote[1791].speaker SPEAKER_02
transcript.pyannote[1791].start 14599.75784375
transcript.pyannote[1791].end 14600.34846875
transcript.pyannote[1792].speaker SPEAKER_03
transcript.pyannote[1792].start 14600.53409375
transcript.pyannote[1792].end 14603.53784375
transcript.pyannote[1793].speaker SPEAKER_02
transcript.pyannote[1793].start 14603.04846875
transcript.pyannote[1793].end 14603.47034375
transcript.pyannote[1794].speaker SPEAKER_03
transcript.pyannote[1794].start 14604.82034375
transcript.pyannote[1794].end 14604.97221875
transcript.pyannote[1795].speaker SPEAKER_03
transcript.pyannote[1795].start 14606.57534375
transcript.pyannote[1795].end 14607.04784375
transcript.pyannote[1796].speaker SPEAKER_03
transcript.pyannote[1796].start 14607.79034375
transcript.pyannote[1796].end 14609.25846875
transcript.pyannote[1797].speaker SPEAKER_03
transcript.pyannote[1797].start 14611.84034375
transcript.pyannote[1797].end 14620.56471875
transcript.pyannote[1798].speaker SPEAKER_03
transcript.pyannote[1798].start 14621.37471875
transcript.pyannote[1798].end 14623.73721875
transcript.pyannote[1799].speaker SPEAKER_17
transcript.pyannote[1799].start 14625.25596875
transcript.pyannote[1799].end 14630.45346875
transcript.pyannote[1800].speaker SPEAKER_17
transcript.pyannote[1800].start 14630.48721875
transcript.pyannote[1800].end 14631.02721875
transcript.pyannote[1801].speaker SPEAKER_03
transcript.pyannote[1801].start 14632.32659375
transcript.pyannote[1801].end 14638.01346875
transcript.pyannote[1802].speaker SPEAKER_17
transcript.pyannote[1802].start 14639.22846875
transcript.pyannote[1802].end 14639.81909375
transcript.pyannote[1803].speaker SPEAKER_17
transcript.pyannote[1803].start 14641.64159375
transcript.pyannote[1803].end 14643.61596875
transcript.pyannote[1804].speaker SPEAKER_03
transcript.pyannote[1804].start 14650.04534375
transcript.pyannote[1804].end 14651.54721875
transcript.pyannote[1805].speaker SPEAKER_17
transcript.pyannote[1805].start 14651.61471875
transcript.pyannote[1805].end 14652.44159375
transcript.pyannote[1806].speaker SPEAKER_03
transcript.pyannote[1806].start 14660.00159375
transcript.pyannote[1806].end 14660.62596875
transcript.pyannote[1807].speaker SPEAKER_17
transcript.pyannote[1807].start 14663.46096875
transcript.pyannote[1807].end 14666.65034375
transcript.pyannote[1808].speaker SPEAKER_17
transcript.pyannote[1808].start 14669.45159375
transcript.pyannote[1808].end 14670.00846875
transcript.pyannote[1809].speaker SPEAKER_17
transcript.pyannote[1809].start 14670.75096875
transcript.pyannote[1809].end 14671.67909375
transcript.pyannote[1810].speaker SPEAKER_17
transcript.pyannote[1810].start 14671.88159375
transcript.pyannote[1810].end 14677.09596875
transcript.pyannote[1811].speaker SPEAKER_17
transcript.pyannote[1811].start 14678.53034375
transcript.pyannote[1811].end 14680.53846875
transcript.pyannote[1812].speaker SPEAKER_16
transcript.pyannote[1812].start 14686.52909375
transcript.pyannote[1812].end 14686.54596875
transcript.pyannote[1813].speaker SPEAKER_17
transcript.pyannote[1813].start 14686.54596875
transcript.pyannote[1813].end 14686.57971875
transcript.pyannote[1814].speaker SPEAKER_03
transcript.pyannote[1814].start 14686.57971875
transcript.pyannote[1814].end 14687.05221875
transcript.pyannote[1815].speaker SPEAKER_03
transcript.pyannote[1815].start 14693.71784375
transcript.pyannote[1815].end 14700.14721875
transcript.pyannote[1816].speaker SPEAKER_03
transcript.pyannote[1816].start 14707.57221875
transcript.pyannote[1816].end 14718.32159375
transcript.pyannote[1817].speaker SPEAKER_16
transcript.pyannote[1817].start 14723.19846875
transcript.pyannote[1817].end 14723.70471875
transcript.pyannote[1818].speaker SPEAKER_03
transcript.pyannote[1818].start 14724.36284375
transcript.pyannote[1818].end 14724.70034375
transcript.pyannote[1819].speaker SPEAKER_03
transcript.pyannote[1819].start 14724.97034375
transcript.pyannote[1819].end 14725.03784375
transcript.pyannote[1820].speaker SPEAKER_03
transcript.pyannote[1820].start 14725.66221875
transcript.pyannote[1820].end 14726.91096875
transcript.pyannote[1821].speaker SPEAKER_03
transcript.pyannote[1821].start 14729.77971875
transcript.pyannote[1821].end 14736.36096875
transcript.pyannote[1822].speaker SPEAKER_03
transcript.pyannote[1822].start 14737.54221875
transcript.pyannote[1822].end 14740.36034375
transcript.pyannote[1823].speaker SPEAKER_00
transcript.pyannote[1823].start 14738.95971875
transcript.pyannote[1823].end 14738.97659375
transcript.pyannote[1824].speaker SPEAKER_08
transcript.pyannote[1824].start 14738.97659375
transcript.pyannote[1824].end 14739.97221875
transcript.pyannote[1825].speaker SPEAKER_16
transcript.pyannote[1825].start 14739.97221875
transcript.pyannote[1825].end 14740.27596875
transcript.pyannote[1826].speaker SPEAKER_03
transcript.pyannote[1826].start 14740.74846875
transcript.pyannote[1826].end 14757.45471875
transcript.pyannote[1827].speaker SPEAKER_03
transcript.pyannote[1827].start 14759.47971875
transcript.pyannote[1827].end 14779.59471875
transcript.pyannote[1828].speaker SPEAKER_03
transcript.pyannote[1828].start 14783.15534375
transcript.pyannote[1828].end 14786.24346875
transcript.pyannote[1829].speaker SPEAKER_17
transcript.pyannote[1829].start 14788.38659375
transcript.pyannote[1829].end 14790.44534375
transcript.pyannote[1830].speaker SPEAKER_17
transcript.pyannote[1830].start 14791.01909375
transcript.pyannote[1830].end 14791.84596875
transcript.pyannote[1831].speaker SPEAKER_17
transcript.pyannote[1831].start 14792.45346875
transcript.pyannote[1831].end 14794.22534375
transcript.pyannote[1832].speaker SPEAKER_17
transcript.pyannote[1832].start 14794.93409375
transcript.pyannote[1832].end 14799.30471875
transcript.pyannote[1833].speaker SPEAKER_17
transcript.pyannote[1833].start 14799.67596875
transcript.pyannote[1833].end 14801.63346875
transcript.pyannote[1834].speaker SPEAKER_17
transcript.pyannote[1834].start 14801.71784375
transcript.pyannote[1834].end 14803.01721875
transcript.pyannote[1835].speaker SPEAKER_17
transcript.pyannote[1835].start 14803.38846875
transcript.pyannote[1835].end 14806.10534375
transcript.pyannote[1836].speaker SPEAKER_17
transcript.pyannote[1836].start 14806.45971875
transcript.pyannote[1836].end 14808.13034375
transcript.pyannote[1837].speaker SPEAKER_17
transcript.pyannote[1837].start 14808.77159375
transcript.pyannote[1837].end 14809.46346875
transcript.pyannote[1838].speaker SPEAKER_03
transcript.pyannote[1838].start 14819.06534375
transcript.pyannote[1838].end 14826.16971875
transcript.pyannote[1839].speaker SPEAKER_03
transcript.pyannote[1839].start 14826.89534375
transcript.pyannote[1839].end 14829.32534375
transcript.pyannote[1840].speaker SPEAKER_03
transcript.pyannote[1840].start 14830.38846875
transcript.pyannote[1840].end 14834.13471875
transcript.pyannote[1841].speaker SPEAKER_03
transcript.pyannote[1841].start 14834.50596875
transcript.pyannote[1841].end 14840.56409375
transcript.pyannote[1842].speaker SPEAKER_03
transcript.pyannote[1842].start 14841.40784375
transcript.pyannote[1842].end 14842.25159375
transcript.pyannote[1843].speaker SPEAKER_03
transcript.pyannote[1843].start 14844.04034375
transcript.pyannote[1843].end 14845.25534375
transcript.pyannote[1844].speaker SPEAKER_03
transcript.pyannote[1844].start 14845.87971875
transcript.pyannote[1844].end 14849.49096875
transcript.pyannote[1845].speaker SPEAKER_03
transcript.pyannote[1845].start 14849.86221875
transcript.pyannote[1845].end 14853.42284375
transcript.pyannote[1846].speaker SPEAKER_03
transcript.pyannote[1846].start 14854.77284375
transcript.pyannote[1846].end 14857.92846875
transcript.pyannote[1847].speaker SPEAKER_03
transcript.pyannote[1847].start 14858.23221875
transcript.pyannote[1847].end 14860.72971875
transcript.pyannote[1848].speaker SPEAKER_03
transcript.pyannote[1848].start 14861.21909375
transcript.pyannote[1848].end 14862.31596875
transcript.pyannote[1849].speaker SPEAKER_16
transcript.pyannote[1849].start 14862.97409375
transcript.pyannote[1849].end 14863.02471875
transcript.pyannote[1850].speaker SPEAKER_16
transcript.pyannote[1850].start 14863.96971875
transcript.pyannote[1850].end 14864.03721875
transcript.pyannote[1851].speaker SPEAKER_16
transcript.pyannote[1851].start 14864.96534375
transcript.pyannote[1851].end 14865.03284375
transcript.pyannote[1852].speaker SPEAKER_16
transcript.pyannote[1852].start 14865.97784375
transcript.pyannote[1852].end 14866.02846875
transcript.pyannote[1853].speaker SPEAKER_03
transcript.pyannote[1853].start 14867.58096875
transcript.pyannote[1853].end 14874.71909375
transcript.pyannote[1854].speaker SPEAKER_03
transcript.pyannote[1854].start 14876.06909375
transcript.pyannote[1854].end 14880.96284375
transcript.pyannote[1855].speaker SPEAKER_03
transcript.pyannote[1855].start 14881.62096875
transcript.pyannote[1855].end 14894.47971875
transcript.pyannote[1856].speaker SPEAKER_02
transcript.pyannote[1856].start 14894.47971875
transcript.pyannote[1856].end 14894.49659375
transcript.pyannote[1857].speaker SPEAKER_02
transcript.pyannote[1857].start 14896.72409375
transcript.pyannote[1857].end 14897.24721875
transcript.pyannote[1858].speaker SPEAKER_02
transcript.pyannote[1858].start 14897.75346875
transcript.pyannote[1858].end 14906.19096875
transcript.pyannote[1859].speaker SPEAKER_02
transcript.pyannote[1859].start 14906.96721875
transcript.pyannote[1859].end 14909.93721875
transcript.pyannote[1860].speaker SPEAKER_02
transcript.pyannote[1860].start 14910.17346875
transcript.pyannote[1860].end 14915.72534375
transcript.pyannote[1861].speaker SPEAKER_02
transcript.pyannote[1861].start 14916.16409375
transcript.pyannote[1861].end 14918.03721875
transcript.pyannote[1862].speaker SPEAKER_02
transcript.pyannote[1862].start 14918.15534375
transcript.pyannote[1862].end 14922.81284375
transcript.pyannote[1863].speaker SPEAKER_02
transcript.pyannote[1863].start 14923.35284375
transcript.pyannote[1863].end 14927.28471875
transcript.pyannote[1864].speaker SPEAKER_03
transcript.pyannote[1864].start 14927.28471875
transcript.pyannote[1864].end 14927.36909375
transcript.pyannote[1865].speaker SPEAKER_02
transcript.pyannote[1865].start 14927.36909375
transcript.pyannote[1865].end 14928.85409375
transcript.pyannote[1866].speaker SPEAKER_03
transcript.pyannote[1866].start 14928.85409375
transcript.pyannote[1866].end 14932.41471875
transcript.pyannote[1867].speaker SPEAKER_02
transcript.pyannote[1867].start 14928.93846875
transcript.pyannote[1867].end 14929.03971875
transcript.pyannote[1868].speaker SPEAKER_02
transcript.pyannote[1868].start 14930.38971875
transcript.pyannote[1868].end 14930.40659375
transcript.pyannote[1869].speaker SPEAKER_16
transcript.pyannote[1869].start 14930.40659375
transcript.pyannote[1869].end 14932.75221875
transcript.pyannote[1870].speaker SPEAKER_03
transcript.pyannote[1870].start 14932.70159375
transcript.pyannote[1870].end 14934.96284375
transcript.pyannote[1871].speaker SPEAKER_16
transcript.pyannote[1871].start 14934.76034375
transcript.pyannote[1871].end 14935.23284375
transcript.pyannote[1872].speaker SPEAKER_03
transcript.pyannote[1872].start 14935.23284375
transcript.pyannote[1872].end 14940.71721875
transcript.pyannote[1873].speaker SPEAKER_03
transcript.pyannote[1873].start 14942.96159375
transcript.pyannote[1873].end 14946.91034375
transcript.pyannote[1874].speaker SPEAKER_16
transcript.pyannote[1874].start 14948.14221875
transcript.pyannote[1874].end 14948.41221875
transcript.pyannote[1875].speaker SPEAKER_03
transcript.pyannote[1875].start 14950.70721875
transcript.pyannote[1875].end 14955.33096875
transcript.pyannote[1876].speaker SPEAKER_03
transcript.pyannote[1876].start 14955.88784375
transcript.pyannote[1876].end 14957.38971875
transcript.pyannote[1877].speaker SPEAKER_03
transcript.pyannote[1877].start 14957.76096875
transcript.pyannote[1877].end 14959.07721875
transcript.pyannote[1878].speaker SPEAKER_03
transcript.pyannote[1878].start 14968.71284375
transcript.pyannote[1878].end 14971.93596875
transcript.pyannote[1879].speaker SPEAKER_03
transcript.pyannote[1879].start 14983.02284375
transcript.pyannote[1879].end 14986.92096875
transcript.pyannote[1880].speaker SPEAKER_03
transcript.pyannote[1880].start 14990.56596875
transcript.pyannote[1880].end 14991.51096875
transcript.pyannote[1881].speaker SPEAKER_16
transcript.pyannote[1881].start 14998.64909375
transcript.pyannote[1881].end 14999.79659375
transcript.pyannote[1882].speaker SPEAKER_03
transcript.pyannote[1882].start 14998.96971875
transcript.pyannote[1882].end 14999.17221875
transcript.pyannote[1883].speaker SPEAKER_03
transcript.pyannote[1883].start 14999.18909375
transcript.pyannote[1883].end 14999.64471875
transcript.pyannote[1884].speaker SPEAKER_16
transcript.pyannote[1884].start 15000.16784375
transcript.pyannote[1884].end 15001.51784375
transcript.pyannote[1885].speaker SPEAKER_14
transcript.pyannote[1885].start 15001.82159375
transcript.pyannote[1885].end 15006.14159375
transcript.pyannote[1886].speaker SPEAKER_00
transcript.pyannote[1886].start 15006.14159375
transcript.pyannote[1886].end 15006.17534375
transcript.pyannote[1887].speaker SPEAKER_02
transcript.pyannote[1887].start 15006.17534375
transcript.pyannote[1887].end 15011.79471875
transcript.pyannote[1888].speaker SPEAKER_03
transcript.pyannote[1888].start 15006.24284375
transcript.pyannote[1888].end 15006.31034375
transcript.pyannote[1889].speaker SPEAKER_16
transcript.pyannote[1889].start 15006.31034375
transcript.pyannote[1889].end 15006.46221875
transcript.pyannote[1890].speaker SPEAKER_03
transcript.pyannote[1890].start 15006.46221875
transcript.pyannote[1890].end 15006.96846875
transcript.pyannote[1891].speaker SPEAKER_16
transcript.pyannote[1891].start 15006.96846875
transcript.pyannote[1891].end 15007.12034375
transcript.pyannote[1892].speaker SPEAKER_03
transcript.pyannote[1892].start 15010.07346875
transcript.pyannote[1892].end 15011.10284375
transcript.pyannote[1893].speaker SPEAKER_16
transcript.pyannote[1893].start 15011.10284375
transcript.pyannote[1893].end 15011.28846875
transcript.pyannote[1894].speaker SPEAKER_02
transcript.pyannote[1894].start 15012.82409375
transcript.pyannote[1894].end 15014.69721875
transcript.pyannote[1895].speaker SPEAKER_02
transcript.pyannote[1895].start 15015.16971875
transcript.pyannote[1895].end 15015.52409375
transcript.pyannote[1896].speaker SPEAKER_03
transcript.pyannote[1896].start 15016.21596875
transcript.pyannote[1896].end 15021.98721875
transcript.pyannote[1897].speaker SPEAKER_03
transcript.pyannote[1897].start 15023.74221875
transcript.pyannote[1897].end 15031.25159375
transcript.pyannote[1898].speaker SPEAKER_19
transcript.pyannote[1898].start 15035.06534375
transcript.pyannote[1898].end 15035.58846875
transcript.pyannote[1899].speaker SPEAKER_19
transcript.pyannote[1899].start 15037.98471875
transcript.pyannote[1899].end 15039.53721875
transcript.pyannote[1900].speaker SPEAKER_02
transcript.pyannote[1900].start 15039.53721875
transcript.pyannote[1900].end 15040.02659375
transcript.pyannote[1901].speaker SPEAKER_19
transcript.pyannote[1901].start 15040.02659375
transcript.pyannote[1901].end 15040.97159375
transcript.pyannote[1902].speaker SPEAKER_02
transcript.pyannote[1902].start 15040.97159375
transcript.pyannote[1902].end 15041.14034375
transcript.pyannote[1903].speaker SPEAKER_19
transcript.pyannote[1903].start 15041.14034375
transcript.pyannote[1903].end 15041.96721875
transcript.pyannote[1904].speaker SPEAKER_02
transcript.pyannote[1904].start 15041.96721875
transcript.pyannote[1904].end 15042.81096875
transcript.pyannote[1905].speaker SPEAKER_16
transcript.pyannote[1905].start 15042.81096875
transcript.pyannote[1905].end 15042.86159375
transcript.pyannote[1906].speaker SPEAKER_02
transcript.pyannote[1906].start 15044.22846875
transcript.pyannote[1906].end 15044.58284375
transcript.pyannote[1907].speaker SPEAKER_03
transcript.pyannote[1907].start 15044.58284375
transcript.pyannote[1907].end 15049.52721875
transcript.pyannote[1908].speaker SPEAKER_02
transcript.pyannote[1908].start 15044.61659375
transcript.pyannote[1908].end 15044.76846875
transcript.pyannote[1909].speaker SPEAKER_19
transcript.pyannote[1909].start 15049.96596875
transcript.pyannote[1909].end 15051.60284375
transcript.pyannote[1910].speaker SPEAKER_19
transcript.pyannote[1910].start 15054.50534375
transcript.pyannote[1910].end 15057.96471875
transcript.pyannote[1911].speaker SPEAKER_16
transcript.pyannote[1911].start 15055.85534375
transcript.pyannote[1911].end 15055.87221875
transcript.pyannote[1912].speaker SPEAKER_02
transcript.pyannote[1912].start 15057.96471875
transcript.pyannote[1912].end 15061.40721875
transcript.pyannote[1913].speaker SPEAKER_16
transcript.pyannote[1913].start 15061.55909375
transcript.pyannote[1913].end 15061.93034375
transcript.pyannote[1914].speaker SPEAKER_02
transcript.pyannote[1914].start 15062.38596875
transcript.pyannote[1914].end 15065.67659375
transcript.pyannote[1915].speaker SPEAKER_02
transcript.pyannote[1915].start 15065.96346875
transcript.pyannote[1915].end 15071.90346875
transcript.pyannote[1916].speaker SPEAKER_16
transcript.pyannote[1916].start 15068.20784375
transcript.pyannote[1916].end 15068.59596875
transcript.pyannote[1917].speaker SPEAKER_03
transcript.pyannote[1917].start 15072.67971875
transcript.pyannote[1917].end 15077.01659375
transcript.pyannote[1918].speaker SPEAKER_03
transcript.pyannote[1918].start 15080.83034375
transcript.pyannote[1918].end 15080.84721875
transcript.pyannote[1919].speaker SPEAKER_02
transcript.pyannote[1919].start 15080.84721875
transcript.pyannote[1919].end 15087.36096875
transcript.pyannote[1920].speaker SPEAKER_03
transcript.pyannote[1920].start 15081.08346875
transcript.pyannote[1920].end 15081.57284375
transcript.pyannote[1921].speaker SPEAKER_02
transcript.pyannote[1921].start 15087.74909375
transcript.pyannote[1921].end 15092.49096875
transcript.pyannote[1922].speaker SPEAKER_02
transcript.pyannote[1922].start 15092.77784375
transcript.pyannote[1922].end 15131.75909375
transcript.pyannote[1923].speaker SPEAKER_02
transcript.pyannote[1923].start 15137.63159375
transcript.pyannote[1923].end 15140.19659375
transcript.pyannote[1924].speaker SPEAKER_03
transcript.pyannote[1924].start 15143.14971875
transcript.pyannote[1924].end 15147.53721875
transcript.pyannote[1925].speaker SPEAKER_02
transcript.pyannote[1925].start 15149.41034375
transcript.pyannote[1925].end 15157.24034375
transcript.pyannote[1926].speaker SPEAKER_02
transcript.pyannote[1926].start 15157.81409375
transcript.pyannote[1926].end 15160.85159375
transcript.pyannote[1927].speaker SPEAKER_02
transcript.pyannote[1927].start 15161.96534375
transcript.pyannote[1927].end 15168.59721875
transcript.pyannote[1928].speaker SPEAKER_03
transcript.pyannote[1928].start 15172.27596875
transcript.pyannote[1928].end 15172.29284375
transcript.pyannote[1929].speaker SPEAKER_16
transcript.pyannote[1929].start 15172.29284375
transcript.pyannote[1929].end 15172.41096875
transcript.pyannote[1930].speaker SPEAKER_03
transcript.pyannote[1930].start 15172.41096875
transcript.pyannote[1930].end 15172.49534375
transcript.pyannote[1931].speaker SPEAKER_03
transcript.pyannote[1931].start 15175.54971875
transcript.pyannote[1931].end 15176.20784375
transcript.pyannote[1932].speaker SPEAKER_03
transcript.pyannote[1932].start 15176.78159375
transcript.pyannote[1932].end 15177.91221875
transcript.pyannote[1933].speaker SPEAKER_03
transcript.pyannote[1933].start 15178.13159375
transcript.pyannote[1933].end 15191.98596875
transcript.pyannote[1934].speaker SPEAKER_03
transcript.pyannote[1934].start 15228.67221875
transcript.pyannote[1934].end 15231.79409375
transcript.pyannote[1935].speaker SPEAKER_03
transcript.pyannote[1935].start 15232.31721875
transcript.pyannote[1935].end 15237.07596875
transcript.pyannote[1936].speaker SPEAKER_03
transcript.pyannote[1936].start 15237.53159375
transcript.pyannote[1936].end 15238.13909375
transcript.pyannote[1937].speaker SPEAKER_03
transcript.pyannote[1937].start 15239.30346875
transcript.pyannote[1937].end 15240.75471875
transcript.pyannote[1938].speaker SPEAKER_02
transcript.pyannote[1938].start 15239.50596875
transcript.pyannote[1938].end 15240.70409375
transcript.pyannote[1939].speaker SPEAKER_03
transcript.pyannote[1939].start 15240.83909375
transcript.pyannote[1939].end 15240.87284375
transcript.pyannote[1940].speaker SPEAKER_02
transcript.pyannote[1940].start 15240.87284375
transcript.pyannote[1940].end 15245.49659375
transcript.pyannote[1941].speaker SPEAKER_03
transcript.pyannote[1941].start 15241.78409375
transcript.pyannote[1941].end 15242.07096875
transcript.pyannote[1942].speaker SPEAKER_03
transcript.pyannote[1942].start 15245.49659375
transcript.pyannote[1942].end 15245.53034375
transcript.pyannote[1943].speaker SPEAKER_03
transcript.pyannote[1943].start 15247.06596875
transcript.pyannote[1943].end 15265.20659375
transcript.pyannote[1944].speaker SPEAKER_16
transcript.pyannote[1944].start 15253.76534375
transcript.pyannote[1944].end 15254.03534375
transcript.pyannote[1945].speaker SPEAKER_16
transcript.pyannote[1945].start 15254.22096875
transcript.pyannote[1945].end 15254.57534375
transcript.pyannote[1946].speaker SPEAKER_16
transcript.pyannote[1946].start 15259.33409375
transcript.pyannote[1946].end 15259.58721875
transcript.pyannote[1947].speaker SPEAKER_03
transcript.pyannote[1947].start 15266.05034375
transcript.pyannote[1947].end 15267.48471875
transcript.pyannote[1948].speaker SPEAKER_02
transcript.pyannote[1948].start 15276.05721875
transcript.pyannote[1948].end 15277.03596875
transcript.pyannote[1949].speaker SPEAKER_02
transcript.pyannote[1949].start 15277.40721875
transcript.pyannote[1949].end 15277.57596875
transcript.pyannote[1950].speaker SPEAKER_02
transcript.pyannote[1950].start 15277.76159375
transcript.pyannote[1950].end 15279.48284375
transcript.pyannote[1951].speaker SPEAKER_16
transcript.pyannote[1951].start 15281.32221875
transcript.pyannote[1951].end 15281.44034375
transcript.pyannote[1952].speaker SPEAKER_02
transcript.pyannote[1952].start 15282.36846875
transcript.pyannote[1952].end 15282.99284375
transcript.pyannote[1953].speaker SPEAKER_16
transcript.pyannote[1953].start 15282.99284375
transcript.pyannote[1953].end 15283.00971875
transcript.pyannote[1954].speaker SPEAKER_03
transcript.pyannote[1954].start 15297.50534375
transcript.pyannote[1954].end 15300.17159375
transcript.pyannote[1955].speaker SPEAKER_03
transcript.pyannote[1955].start 15301.13346875
transcript.pyannote[1955].end 15302.90534375
transcript.pyannote[1956].speaker SPEAKER_03
transcript.pyannote[1956].start 15303.29346875
transcript.pyannote[1956].end 15324.16784375
transcript.pyannote[1957].speaker SPEAKER_03
transcript.pyannote[1957].start 15327.17159375
transcript.pyannote[1957].end 15329.44971875
transcript.pyannote[1958].speaker SPEAKER_03
transcript.pyannote[1958].start 15334.83284375
transcript.pyannote[1958].end 15343.40534375
transcript.pyannote[1959].speaker SPEAKER_03
transcript.pyannote[1959].start 15344.40096875
transcript.pyannote[1959].end 15347.52284375
transcript.pyannote[1960].speaker SPEAKER_03
transcript.pyannote[1960].start 15347.97846875
transcript.pyannote[1960].end 15363.73971875
transcript.pyannote[1961].speaker SPEAKER_03
transcript.pyannote[1961].start 15366.42284375
transcript.pyannote[1961].end 15374.38784375
transcript.pyannote[1962].speaker SPEAKER_03
transcript.pyannote[1962].start 15374.64096875
transcript.pyannote[1962].end 15383.44971875
transcript.pyannote[1963].speaker SPEAKER_03
transcript.pyannote[1963].start 15384.27659375
transcript.pyannote[1963].end 15408.88034375
transcript.pyannote[1964].speaker SPEAKER_03
transcript.pyannote[1964].start 15409.90971875
transcript.pyannote[1964].end 15419.59596875
transcript.pyannote[1965].speaker SPEAKER_03
transcript.pyannote[1965].start 15419.96721875
transcript.pyannote[1965].end 15422.85284375
transcript.pyannote[1966].speaker SPEAKER_03
transcript.pyannote[1966].start 15423.52784375
transcript.pyannote[1966].end 15429.65346875
transcript.pyannote[1967].speaker SPEAKER_03
transcript.pyannote[1967].start 15430.05846875
transcript.pyannote[1967].end 15440.09909375
transcript.pyannote[1968].speaker SPEAKER_03
transcript.pyannote[1968].start 15440.18346875
transcript.pyannote[1968].end 15447.45659375
transcript.pyannote[1969].speaker SPEAKER_03
transcript.pyannote[1969].start 15452.58659375
transcript.pyannote[1969].end 15453.61596875
transcript.pyannote[1970].speaker SPEAKER_10
transcript.pyannote[1970].start 15453.10971875
transcript.pyannote[1970].end 15453.83534375
transcript.pyannote[1971].speaker SPEAKER_10
transcript.pyannote[1971].start 15454.79721875
transcript.pyannote[1971].end 15455.50596875
transcript.pyannote[1972].speaker SPEAKER_03
transcript.pyannote[1972].start 15455.84346875
transcript.pyannote[1972].end 15456.23159375
transcript.pyannote[1973].speaker SPEAKER_10
transcript.pyannote[1973].start 15456.72096875
transcript.pyannote[1973].end 15459.25221875
transcript.pyannote[1974].speaker SPEAKER_03
transcript.pyannote[1974].start 15459.53909375
transcript.pyannote[1974].end 15460.34909375
transcript.pyannote[1975].speaker SPEAKER_10
transcript.pyannote[1975].start 15461.39534375
transcript.pyannote[1975].end 15465.78284375
transcript.pyannote[1976].speaker SPEAKER_10
transcript.pyannote[1976].start 15465.96846875
transcript.pyannote[1976].end 15469.03971875
transcript.pyannote[1977].speaker SPEAKER_10
transcript.pyannote[1977].start 15469.66409375
transcript.pyannote[1977].end 15486.96096875
transcript.pyannote[1978].speaker SPEAKER_10
transcript.pyannote[1978].start 15487.19721875
transcript.pyannote[1978].end 15489.69471875
transcript.pyannote[1979].speaker SPEAKER_10
transcript.pyannote[1979].start 15492.19221875
transcript.pyannote[1979].end 15492.90096875
transcript.pyannote[1980].speaker SPEAKER_10
transcript.pyannote[1980].start 15493.32284375
transcript.pyannote[1980].end 15540.70784375
transcript.pyannote[1981].speaker SPEAKER_02
transcript.pyannote[1981].start 15542.51346875
transcript.pyannote[1981].end 15542.66534375
transcript.pyannote[1982].speaker SPEAKER_03
transcript.pyannote[1982].start 15542.66534375
transcript.pyannote[1982].end 15542.78346875
transcript.pyannote[1983].speaker SPEAKER_02
transcript.pyannote[1983].start 15542.78346875
transcript.pyannote[1983].end 15543.89721875
transcript.pyannote[1984].speaker SPEAKER_02
transcript.pyannote[1984].start 15544.26846875
transcript.pyannote[1984].end 15566.10471875
transcript.pyannote[1985].speaker SPEAKER_02
transcript.pyannote[1985].start 15566.37471875
transcript.pyannote[1985].end 15570.91409375
transcript.pyannote[1986].speaker SPEAKER_16
transcript.pyannote[1986].start 15570.91409375
transcript.pyannote[1986].end 15571.08284375
transcript.pyannote[1987].speaker SPEAKER_02
transcript.pyannote[1987].start 15571.11659375
transcript.pyannote[1987].end 15571.23471875
transcript.pyannote[1988].speaker SPEAKER_03
transcript.pyannote[1988].start 15571.23471875
transcript.pyannote[1988].end 15572.58471875
transcript.pyannote[1989].speaker SPEAKER_03
transcript.pyannote[1989].start 15574.01909375
transcript.pyannote[1989].end 15577.25909375
transcript.pyannote[1990].speaker SPEAKER_03
transcript.pyannote[1990].start 15579.03096875
transcript.pyannote[1990].end 15581.93346875
transcript.pyannote[1991].speaker SPEAKER_03
transcript.pyannote[1991].start 15715.83659375
transcript.pyannote[1991].end 15717.81096875
transcript.pyannote[1992].speaker SPEAKER_03
transcript.pyannote[1992].start 15718.63784375
transcript.pyannote[1992].end 15722.29971875
transcript.pyannote[1993].speaker SPEAKER_03
transcript.pyannote[1993].start 15722.55284375
transcript.pyannote[1993].end 15722.68784375
transcript.pyannote[1994].speaker SPEAKER_03
transcript.pyannote[1994].start 15724.12221875
transcript.pyannote[1994].end 15727.07534375
transcript.pyannote[1995].speaker SPEAKER_03
transcript.pyannote[1995].start 15728.05409375
transcript.pyannote[1995].end 15729.80909375
transcript.pyannote[1996].speaker SPEAKER_03
transcript.pyannote[1996].start 15730.38284375
transcript.pyannote[1996].end 15731.96909375
transcript.pyannote[1997].speaker SPEAKER_03
transcript.pyannote[1997].start 15732.22221875
transcript.pyannote[1997].end 15749.21534375
transcript.pyannote[1998].speaker SPEAKER_03
transcript.pyannote[1998].start 16442.20409375
transcript.pyannote[1998].end 16443.55409375
transcript.pyannote[1999].speaker SPEAKER_03
transcript.pyannote[1999].start 16443.80721875
transcript.pyannote[1999].end 16447.30034375
transcript.pyannote[2000].speaker SPEAKER_03
transcript.pyannote[2000].start 16448.24534375
transcript.pyannote[2000].end 16448.97096875
transcript.pyannote[2001].speaker SPEAKER_03
transcript.pyannote[2001].start 16453.91534375
transcript.pyannote[2001].end 16457.67846875
transcript.pyannote[2002].speaker SPEAKER_17
transcript.pyannote[2002].start 16474.43534375
transcript.pyannote[2002].end 16476.93284375
transcript.pyannote[2003].speaker SPEAKER_17
transcript.pyannote[2003].start 16478.09721875
transcript.pyannote[2003].end 16479.07596875
transcript.pyannote[2004].speaker SPEAKER_17
transcript.pyannote[2004].start 16480.99971875
transcript.pyannote[2004].end 16484.07096875
transcript.pyannote[2005].speaker SPEAKER_17
transcript.pyannote[2005].start 16484.39159375
transcript.pyannote[2005].end 16490.16284375
transcript.pyannote[2006].speaker SPEAKER_17
transcript.pyannote[2006].start 16490.60159375
transcript.pyannote[2006].end 16494.85409375
transcript.pyannote[2007].speaker SPEAKER_17
transcript.pyannote[2007].start 16495.30971875
transcript.pyannote[2007].end 16498.19534375
transcript.pyannote[2008].speaker SPEAKER_17
transcript.pyannote[2008].start 16498.41471875
transcript.pyannote[2008].end 16501.38471875
transcript.pyannote[2009].speaker SPEAKER_17
transcript.pyannote[2009].start 16501.73909375
transcript.pyannote[2009].end 16503.67971875
transcript.pyannote[2010].speaker SPEAKER_17
transcript.pyannote[2010].start 16505.23221875
transcript.pyannote[2010].end 16506.51471875
transcript.pyannote[2011].speaker SPEAKER_17
transcript.pyannote[2011].start 16508.33721875
transcript.pyannote[2011].end 16509.48471875
transcript.pyannote[2012].speaker SPEAKER_17
transcript.pyannote[2012].start 16511.81346875
transcript.pyannote[2012].end 16512.11721875
transcript.pyannote[2013].speaker SPEAKER_17
transcript.pyannote[2013].start 16513.33221875
transcript.pyannote[2013].end 16515.03659375
transcript.pyannote[2014].speaker SPEAKER_17
transcript.pyannote[2014].start 16515.35721875
transcript.pyannote[2014].end 16516.53846875
transcript.pyannote[2015].speaker SPEAKER_17
transcript.pyannote[2015].start 16516.87596875
transcript.pyannote[2015].end 16519.47471875
transcript.pyannote[2016].speaker SPEAKER_17
transcript.pyannote[2016].start 16520.33534375
transcript.pyannote[2016].end 16522.49534375
transcript.pyannote[2017].speaker SPEAKER_17
transcript.pyannote[2017].start 16522.96784375
transcript.pyannote[2017].end 16523.45721875
transcript.pyannote[2018].speaker SPEAKER_17
transcript.pyannote[2018].start 16523.59221875
transcript.pyannote[2018].end 16524.08159375
transcript.pyannote[2019].speaker SPEAKER_17
transcript.pyannote[2019].start 16524.30096875
transcript.pyannote[2019].end 16525.21221875
transcript.pyannote[2020].speaker SPEAKER_17
transcript.pyannote[2020].start 16525.44846875
transcript.pyannote[2020].end 16527.15284375
transcript.pyannote[2021].speaker SPEAKER_17
transcript.pyannote[2021].start 16527.99659375
transcript.pyannote[2021].end 16531.62471875
transcript.pyannote[2022].speaker SPEAKER_17
transcript.pyannote[2022].start 16531.79346875
transcript.pyannote[2022].end 16533.26159375
transcript.pyannote[2023].speaker SPEAKER_17
transcript.pyannote[2023].start 16537.27784375
transcript.pyannote[2023].end 16538.34096875
transcript.pyannote[2024].speaker SPEAKER_17
transcript.pyannote[2024].start 16540.16346875
transcript.pyannote[2024].end 16544.75346875
transcript.pyannote[2025].speaker SPEAKER_17
transcript.pyannote[2025].start 16545.09096875
transcript.pyannote[2025].end 16547.79096875
transcript.pyannote[2026].speaker SPEAKER_17
transcript.pyannote[2026].start 16548.07784375
transcript.pyannote[2026].end 16551.09846875
transcript.pyannote[2027].speaker SPEAKER_17
transcript.pyannote[2027].start 16551.68909375
transcript.pyannote[2027].end 16554.05159375
transcript.pyannote[2028].speaker SPEAKER_17
transcript.pyannote[2028].start 16554.22034375
transcript.pyannote[2028].end 16555.33409375
transcript.pyannote[2029].speaker SPEAKER_17
transcript.pyannote[2029].start 16555.75596875
transcript.pyannote[2029].end 16559.11409375
transcript.pyannote[2030].speaker SPEAKER_17
transcript.pyannote[2030].start 16559.45159375
transcript.pyannote[2030].end 16561.71284375
transcript.pyannote[2031].speaker SPEAKER_17
transcript.pyannote[2031].start 16562.28659375
transcript.pyannote[2031].end 16563.90659375
transcript.pyannote[2032].speaker SPEAKER_17
transcript.pyannote[2032].start 16564.51409375
transcript.pyannote[2032].end 16565.29034375
transcript.pyannote[2033].speaker SPEAKER_17
transcript.pyannote[2033].start 16565.79659375
transcript.pyannote[2033].end 16566.15096875
transcript.pyannote[2034].speaker SPEAKER_17
transcript.pyannote[2034].start 16566.67409375
transcript.pyannote[2034].end 16567.56846875
transcript.pyannote[2035].speaker SPEAKER_17
transcript.pyannote[2035].start 16568.34471875
transcript.pyannote[2035].end 16572.44534375
transcript.pyannote[2036].speaker SPEAKER_17
transcript.pyannote[2036].start 16572.90096875
transcript.pyannote[2036].end 16574.52096875
transcript.pyannote[2037].speaker SPEAKER_17
transcript.pyannote[2037].start 16577.54159375
transcript.pyannote[2037].end 16578.63846875
transcript.pyannote[2038].speaker SPEAKER_17
transcript.pyannote[2038].start 16579.60034375
transcript.pyannote[2038].end 16581.86159375
transcript.pyannote[2039].speaker SPEAKER_17
transcript.pyannote[2039].start 16582.09784375
transcript.pyannote[2039].end 16585.20284375
transcript.pyannote[2040].speaker SPEAKER_17
transcript.pyannote[2040].start 16586.24909375
transcript.pyannote[2040].end 16595.47971875
transcript.pyannote[2041].speaker SPEAKER_17
transcript.pyannote[2041].start 16596.00284375
transcript.pyannote[2041].end 16596.61034375
transcript.pyannote[2042].speaker SPEAKER_17
transcript.pyannote[2042].start 16596.77909375
transcript.pyannote[2042].end 16601.79096875
transcript.pyannote[2043].speaker SPEAKER_17
transcript.pyannote[2043].start 16602.01034375
transcript.pyannote[2043].end 16602.41534375
transcript.pyannote[2044].speaker SPEAKER_17
transcript.pyannote[2044].start 16602.82034375
transcript.pyannote[2044].end 16604.35596875
transcript.pyannote[2045].speaker SPEAKER_17
transcript.pyannote[2045].start 16604.99721875
transcript.pyannote[2045].end 16605.94221875
transcript.pyannote[2046].speaker SPEAKER_17
transcript.pyannote[2046].start 16606.12784375
transcript.pyannote[2046].end 16607.83221875
transcript.pyannote[2047].speaker SPEAKER_17
transcript.pyannote[2047].start 16608.05159375
transcript.pyannote[2047].end 16609.75596875
transcript.pyannote[2048].speaker SPEAKER_17
transcript.pyannote[2048].start 16610.41409375
transcript.pyannote[2048].end 16613.38409375
transcript.pyannote[2049].speaker SPEAKER_17
transcript.pyannote[2049].start 16613.83971875
transcript.pyannote[2049].end 16615.05471875
transcript.pyannote[2050].speaker SPEAKER_17
transcript.pyannote[2050].start 16615.25721875
transcript.pyannote[2050].end 16616.43846875
transcript.pyannote[2051].speaker SPEAKER_17
transcript.pyannote[2051].start 16616.86034375
transcript.pyannote[2051].end 16617.56909375
transcript.pyannote[2052].speaker SPEAKER_17
transcript.pyannote[2052].start 16617.75471875
transcript.pyannote[2052].end 16620.40409375
transcript.pyannote[2053].speaker SPEAKER_17
transcript.pyannote[2053].start 16621.31534375
transcript.pyannote[2053].end 16625.26409375
transcript.pyannote[2054].speaker SPEAKER_17
transcript.pyannote[2054].start 16625.50034375
transcript.pyannote[2054].end 16626.31034375
transcript.pyannote[2055].speaker SPEAKER_17
transcript.pyannote[2055].start 16626.56346875
transcript.pyannote[2055].end 16628.72346875
transcript.pyannote[2056].speaker SPEAKER_17
transcript.pyannote[2056].start 16629.33096875
transcript.pyannote[2056].end 16637.05971875
transcript.pyannote[2057].speaker SPEAKER_17
transcript.pyannote[2057].start 16638.32534375
transcript.pyannote[2057].end 16645.21034375
transcript.pyannote[2058].speaker SPEAKER_17
transcript.pyannote[2058].start 16645.91909375
transcript.pyannote[2058].end 16648.24784375
transcript.pyannote[2059].speaker SPEAKER_17
transcript.pyannote[2059].start 16648.28159375
transcript.pyannote[2059].end 16657.66409375
transcript.pyannote[2060].speaker SPEAKER_17
transcript.pyannote[2060].start 16658.05221875
transcript.pyannote[2060].end 16660.85346875
transcript.pyannote[2061].speaker SPEAKER_17
transcript.pyannote[2061].start 16661.73096875
transcript.pyannote[2061].end 16662.16971875
transcript.pyannote[2062].speaker SPEAKER_17
transcript.pyannote[2062].start 16662.79409375
transcript.pyannote[2062].end 16664.02596875
transcript.pyannote[2063].speaker SPEAKER_17
transcript.pyannote[2063].start 16666.75971875
transcript.pyannote[2063].end 16667.72159375
transcript.pyannote[2064].speaker SPEAKER_17
transcript.pyannote[2064].start 16670.57346875
transcript.pyannote[2064].end 16671.23159375
transcript.pyannote[2065].speaker SPEAKER_17
transcript.pyannote[2065].start 16672.34534375
transcript.pyannote[2065].end 16674.18471875
transcript.pyannote[2066].speaker SPEAKER_17
transcript.pyannote[2066].start 16674.92721875
transcript.pyannote[2066].end 16675.99034375
transcript.pyannote[2067].speaker SPEAKER_17
transcript.pyannote[2067].start 16677.37409375
transcript.pyannote[2067].end 16680.47909375
transcript.pyannote[2068].speaker SPEAKER_17
transcript.pyannote[2068].start 16681.27221875
transcript.pyannote[2068].end 16683.17909375
transcript.pyannote[2069].speaker SPEAKER_17
transcript.pyannote[2069].start 16683.97221875
transcript.pyannote[2069].end 16684.52909375
transcript.pyannote[2070].speaker SPEAKER_16
transcript.pyannote[2070].start 16695.88596875
transcript.pyannote[2070].end 16695.95346875
transcript.pyannote[2071].speaker SPEAKER_03
transcript.pyannote[2071].start 16703.66534375
transcript.pyannote[2071].end 16706.16284375
transcript.pyannote[2072].speaker SPEAKER_03
transcript.pyannote[2072].start 16707.86721875
transcript.pyannote[2072].end 16709.21721875
transcript.pyannote[2073].speaker SPEAKER_03
transcript.pyannote[2073].start 16710.48284375
transcript.pyannote[2073].end 16711.61346875
transcript.pyannote[2074].speaker SPEAKER_00
transcript.pyannote[2074].start 16712.13659375
transcript.pyannote[2074].end 16713.40221875
transcript.pyannote[2075].speaker SPEAKER_03
transcript.pyannote[2075].start 16713.92534375
transcript.pyannote[2075].end 16715.61284375
transcript.pyannote[2076].speaker SPEAKER_00
transcript.pyannote[2076].start 16714.98846875
transcript.pyannote[2076].end 16716.33846875
transcript.pyannote[2077].speaker SPEAKER_17
transcript.pyannote[2077].start 16715.61284375
transcript.pyannote[2077].end 16715.68034375
transcript.pyannote[2078].speaker SPEAKER_00
transcript.pyannote[2078].start 16716.86159375
transcript.pyannote[2078].end 16719.29159375
transcript.pyannote[2079].speaker SPEAKER_17
transcript.pyannote[2079].start 16720.25346875
transcript.pyannote[2079].end 16722.64971875
transcript.pyannote[2080].speaker SPEAKER_17
transcript.pyannote[2080].start 16723.00409375
transcript.pyannote[2080].end 16723.56096875
transcript.pyannote[2081].speaker SPEAKER_17
transcript.pyannote[2081].start 16724.21909375
transcript.pyannote[2081].end 16724.69159375
transcript.pyannote[2082].speaker SPEAKER_17
transcript.pyannote[2082].start 16725.16409375
transcript.pyannote[2082].end 16726.90221875
transcript.pyannote[2083].speaker SPEAKER_17
transcript.pyannote[2083].start 16727.17221875
transcript.pyannote[2083].end 16729.34909375
transcript.pyannote[2084].speaker SPEAKER_17
transcript.pyannote[2084].start 16729.97346875
transcript.pyannote[2084].end 16734.44534375
transcript.pyannote[2085].speaker SPEAKER_17
transcript.pyannote[2085].start 16734.58034375
transcript.pyannote[2085].end 16735.42409375
transcript.pyannote[2086].speaker SPEAKER_17
transcript.pyannote[2086].start 16735.64346875
transcript.pyannote[2086].end 16736.84159375
transcript.pyannote[2087].speaker SPEAKER_17
transcript.pyannote[2087].start 16736.97659375
transcript.pyannote[2087].end 16736.99346875
transcript.pyannote[2088].speaker SPEAKER_17
transcript.pyannote[2088].start 16737.19596875
transcript.pyannote[2088].end 16747.03409375
transcript.pyannote[2089].speaker SPEAKER_19
transcript.pyannote[2089].start 16755.67409375
transcript.pyannote[2089].end 16757.39534375
transcript.pyannote[2090].speaker SPEAKER_16
transcript.pyannote[2090].start 16755.85971875
transcript.pyannote[2090].end 16755.87659375
transcript.pyannote[2091].speaker SPEAKER_03
transcript.pyannote[2091].start 16766.15346875
transcript.pyannote[2091].end 16770.62534375
transcript.pyannote[2092].speaker SPEAKER_03
transcript.pyannote[2092].start 16770.99659375
transcript.pyannote[2092].end 16771.70534375
transcript.pyannote[2093].speaker SPEAKER_03
transcript.pyannote[2093].start 16771.84034375
transcript.pyannote[2093].end 16772.86971875
transcript.pyannote[2094].speaker SPEAKER_03
transcript.pyannote[2094].start 16773.39284375
transcript.pyannote[2094].end 16792.34346875
transcript.pyannote[2095].speaker SPEAKER_18
transcript.pyannote[2095].start 16792.34346875
transcript.pyannote[2095].end 16792.44471875
transcript.pyannote[2096].speaker SPEAKER_03
transcript.pyannote[2096].start 16792.44471875
transcript.pyannote[2096].end 16792.54596875
transcript.pyannote[2097].speaker SPEAKER_18
transcript.pyannote[2097].start 16792.54596875
transcript.pyannote[2097].end 16792.56284375
transcript.pyannote[2098].speaker SPEAKER_03
transcript.pyannote[2098].start 16797.25409375
transcript.pyannote[2098].end 16798.53659375
transcript.pyannote[2099].speaker SPEAKER_03
transcript.pyannote[2099].start 16800.59534375
transcript.pyannote[2099].end 16805.13471875
transcript.pyannote[2100].speaker SPEAKER_03
transcript.pyannote[2100].start 16806.72096875
transcript.pyannote[2100].end 16820.13659375
transcript.pyannote[2101].speaker SPEAKER_03
transcript.pyannote[2101].start 16822.70159375
transcript.pyannote[2101].end 16826.48159375
transcript.pyannote[2102].speaker SPEAKER_03
transcript.pyannote[2102].start 16828.27034375
transcript.pyannote[2102].end 16832.42159375
transcript.pyannote[2103].speaker SPEAKER_03
transcript.pyannote[2103].start 16836.47159375
transcript.pyannote[2103].end 16837.36596875
transcript.pyannote[2104].speaker SPEAKER_03
transcript.pyannote[2104].start 16840.87596875
transcript.pyannote[2104].end 16842.49596875
transcript.pyannote[2105].speaker SPEAKER_03
transcript.pyannote[2105].start 16842.74909375
transcript.pyannote[2105].end 16856.02971875
transcript.pyannote[2106].speaker SPEAKER_03
transcript.pyannote[2106].start 16860.58596875
transcript.pyannote[2106].end 16861.21034375
transcript.pyannote[2107].speaker SPEAKER_03
transcript.pyannote[2107].start 16866.82971875
transcript.pyannote[2107].end 16870.39034375
transcript.pyannote[2108].speaker SPEAKER_03
transcript.pyannote[2108].start 16870.50846875
transcript.pyannote[2108].end 16887.34971875
transcript.pyannote[2109].speaker SPEAKER_03
transcript.pyannote[2109].start 16888.04159375
transcript.pyannote[2109].end 16891.01159375
transcript.pyannote[2110].speaker SPEAKER_03
transcript.pyannote[2110].start 16891.28159375
transcript.pyannote[2110].end 16895.53409375
transcript.pyannote[2111].speaker SPEAKER_03
transcript.pyannote[2111].start 16896.05721875
transcript.pyannote[2111].end 16901.42346875
transcript.pyannote[2112].speaker SPEAKER_03
transcript.pyannote[2112].start 16902.03096875
transcript.pyannote[2112].end 16905.74346875
transcript.pyannote[2113].speaker SPEAKER_03
transcript.pyannote[2113].start 16906.90784375
transcript.pyannote[2113].end 16909.48971875
transcript.pyannote[2114].speaker SPEAKER_03
transcript.pyannote[2114].start 16909.87784375
transcript.pyannote[2114].end 16913.20221875
transcript.pyannote[2115].speaker SPEAKER_03
transcript.pyannote[2115].start 16913.94471875
transcript.pyannote[2115].end 16914.95721875
transcript.pyannote[2116].speaker SPEAKER_03
transcript.pyannote[2116].start 16917.48846875
transcript.pyannote[2116].end 16920.81284375
transcript.pyannote[2117].speaker SPEAKER_19
transcript.pyannote[2117].start 16923.51284375
transcript.pyannote[2117].end 16923.52971875
transcript.pyannote[2118].speaker SPEAKER_03
transcript.pyannote[2118].start 16923.52971875
transcript.pyannote[2118].end 16930.48221875
transcript.pyannote[2119].speaker SPEAKER_03
transcript.pyannote[2119].start 16931.35971875
transcript.pyannote[2119].end 16933.03034375
transcript.pyannote[2120].speaker SPEAKER_03
transcript.pyannote[2120].start 16933.78971875
transcript.pyannote[2120].end 16939.96596875
transcript.pyannote[2121].speaker SPEAKER_03
transcript.pyannote[2121].start 16940.28659375
transcript.pyannote[2121].end 16989.34221875
transcript.pyannote[2122].speaker SPEAKER_03
transcript.pyannote[2122].start 16990.59096875
transcript.pyannote[2122].end 17004.05721875
transcript.pyannote[2123].speaker SPEAKER_03
transcript.pyannote[2123].start 17005.28909375
transcript.pyannote[2123].end 17007.31409375
transcript.pyannote[2124].speaker SPEAKER_03
transcript.pyannote[2124].start 17009.96346875
transcript.pyannote[2124].end 17011.51596875
transcript.pyannote[2125].speaker SPEAKER_03
transcript.pyannote[2125].start 17013.16971875
transcript.pyannote[2125].end 17028.10409375
transcript.pyannote[2126].speaker SPEAKER_03
transcript.pyannote[2126].start 17028.59346875
transcript.pyannote[2126].end 17030.58471875
transcript.pyannote[2127].speaker SPEAKER_03
transcript.pyannote[2127].start 17030.88846875
transcript.pyannote[2127].end 17034.98909375
transcript.pyannote[2128].speaker SPEAKER_03
transcript.pyannote[2128].start 17038.71846875
transcript.pyannote[2128].end 17046.10971875
transcript.pyannote[2129].speaker SPEAKER_03
transcript.pyannote[2129].start 17049.65346875
transcript.pyannote[2129].end 17050.09221875
transcript.pyannote[2130].speaker SPEAKER_03
transcript.pyannote[2130].start 17050.39596875
transcript.pyannote[2130].end 17051.13846875
transcript.pyannote[2131].speaker SPEAKER_03
transcript.pyannote[2131].start 17052.33659375
transcript.pyannote[2131].end 17058.02346875
transcript.pyannote[2132].speaker SPEAKER_03
transcript.pyannote[2132].start 17058.69846875
transcript.pyannote[2132].end 17060.04846875
transcript.pyannote[2133].speaker SPEAKER_03
transcript.pyannote[2133].start 17061.14534375
transcript.pyannote[2133].end 17062.19159375
transcript.pyannote[2134].speaker SPEAKER_03
transcript.pyannote[2134].start 17065.54971875
transcript.pyannote[2134].end 17067.43971875
transcript.pyannote[2135].speaker SPEAKER_03
transcript.pyannote[2135].start 17067.64221875
transcript.pyannote[2135].end 17084.09534375
transcript.pyannote[2136].speaker SPEAKER_03
transcript.pyannote[2136].start 17084.44971875
transcript.pyannote[2136].end 17086.76159375
transcript.pyannote[2137].speaker SPEAKER_03
transcript.pyannote[2137].start 17087.36909375
transcript.pyannote[2137].end 17090.82846875
transcript.pyannote[2138].speaker SPEAKER_03
transcript.pyannote[2138].start 17091.53721875
transcript.pyannote[2138].end 17094.05159375
transcript.pyannote[2139].speaker SPEAKER_03
transcript.pyannote[2139].start 17096.53221875
transcript.pyannote[2139].end 17104.42971875
transcript.pyannote[2140].speaker SPEAKER_03
transcript.pyannote[2140].start 17104.69971875
transcript.pyannote[2140].end 17110.28534375
transcript.pyannote[2141].speaker SPEAKER_19
transcript.pyannote[2141].start 17114.48721875
transcript.pyannote[2141].end 17129.89409375
transcript.pyannote[2142].speaker SPEAKER_03
transcript.pyannote[2142].start 17114.62221875
transcript.pyannote[2142].end 17115.24659375
transcript.pyannote[2143].speaker SPEAKER_03
transcript.pyannote[2143].start 17130.38346875
transcript.pyannote[2143].end 17132.56034375
transcript.pyannote[2144].speaker SPEAKER_19
transcript.pyannote[2144].start 17132.56034375
transcript.pyannote[2144].end 17132.57721875
transcript.pyannote[2145].speaker SPEAKER_03
transcript.pyannote[2145].start 17133.91034375
transcript.pyannote[2145].end 17134.55159375
transcript.pyannote[2146].speaker SPEAKER_03
transcript.pyannote[2146].start 17137.31909375
transcript.pyannote[2146].end 17146.80284375
transcript.pyannote[2147].speaker SPEAKER_03
transcript.pyannote[2147].start 17148.52409375
transcript.pyannote[2147].end 17155.49346875
transcript.pyannote[2148].speaker SPEAKER_03
transcript.pyannote[2148].start 17155.99971875
transcript.pyannote[2148].end 17160.47159375
transcript.pyannote[2149].speaker SPEAKER_03
transcript.pyannote[2149].start 17161.19721875
transcript.pyannote[2149].end 17164.57221875
transcript.pyannote[2150].speaker SPEAKER_02
transcript.pyannote[2150].start 17164.77471875
transcript.pyannote[2150].end 17166.07409375
transcript.pyannote[2151].speaker SPEAKER_21
transcript.pyannote[2151].start 17166.07409375
transcript.pyannote[2151].end 17166.46221875
transcript.pyannote[2152].speaker SPEAKER_21
transcript.pyannote[2152].start 17166.95159375
transcript.pyannote[2152].end 17167.00221875
transcript.pyannote[2153].speaker SPEAKER_02
transcript.pyannote[2153].start 17167.00221875
transcript.pyannote[2153].end 17167.03596875
transcript.pyannote[2154].speaker SPEAKER_21
transcript.pyannote[2154].start 17167.03596875
transcript.pyannote[2154].end 17167.99784375
transcript.pyannote[2155].speaker SPEAKER_02
transcript.pyannote[2155].start 17167.99784375
transcript.pyannote[2155].end 17168.09909375
transcript.pyannote[2156].speaker SPEAKER_21
transcript.pyannote[2156].start 17169.14534375
transcript.pyannote[2156].end 17170.30971875
transcript.pyannote[2157].speaker SPEAKER_21
transcript.pyannote[2157].start 17171.06909375
transcript.pyannote[2157].end 17172.95909375
transcript.pyannote[2158].speaker SPEAKER_21
transcript.pyannote[2158].start 17174.79846875
transcript.pyannote[2158].end 17175.05159375
transcript.pyannote[2159].speaker SPEAKER_03
transcript.pyannote[2159].start 17175.59159375
transcript.pyannote[2159].end 17176.46909375
transcript.pyannote[2160].speaker SPEAKER_07
transcript.pyannote[2160].start 17178.05534375
transcript.pyannote[2160].end 17181.29534375
transcript.pyannote[2161].speaker SPEAKER_03
transcript.pyannote[2161].start 17181.78471875
transcript.pyannote[2161].end 17181.80159375
transcript.pyannote[2162].speaker SPEAKER_16
transcript.pyannote[2162].start 17181.80159375
transcript.pyannote[2162].end 17181.91971875
transcript.pyannote[2163].speaker SPEAKER_03
transcript.pyannote[2163].start 17181.91971875
transcript.pyannote[2163].end 17181.97034375
transcript.pyannote[2164].speaker SPEAKER_16
transcript.pyannote[2164].start 17181.97034375
transcript.pyannote[2164].end 17183.26971875
transcript.pyannote[2165].speaker SPEAKER_03
transcript.pyannote[2165].start 17184.40034375
transcript.pyannote[2165].end 17209.22346875
transcript.pyannote[2166].speaker SPEAKER_03
transcript.pyannote[2166].start 17210.30346875
transcript.pyannote[2166].end 17211.45096875
transcript.pyannote[2167].speaker SPEAKER_03
transcript.pyannote[2167].start 17211.83909375
transcript.pyannote[2167].end 17212.66596875
transcript.pyannote[2168].speaker SPEAKER_22
transcript.pyannote[2168].start 17212.26096875
transcript.pyannote[2168].end 17212.64909375
transcript.pyannote[2169].speaker SPEAKER_22
transcript.pyannote[2169].start 17212.66596875
transcript.pyannote[2169].end 17213.83034375
transcript.pyannote[2170].speaker SPEAKER_03
transcript.pyannote[2170].start 17213.39159375
transcript.pyannote[2170].end 17214.94409375
transcript.pyannote[2171].speaker SPEAKER_03
transcript.pyannote[2171].start 17215.88909375
transcript.pyannote[2171].end 17221.32284375
transcript.pyannote[2172].speaker SPEAKER_03
transcript.pyannote[2172].start 17222.57159375
transcript.pyannote[2172].end 17223.95534375
transcript.pyannote[2173].speaker SPEAKER_03
transcript.pyannote[2173].start 17227.71846875
transcript.pyannote[2173].end 17227.78596875
transcript.pyannote[2174].speaker SPEAKER_03
transcript.pyannote[2174].start 17227.80284375
transcript.pyannote[2174].end 17227.98846875
transcript.pyannote[2175].speaker SPEAKER_03
transcript.pyannote[2175].start 17228.73096875
transcript.pyannote[2175].end 17240.64471875
transcript.pyannote[2176].speaker SPEAKER_03
transcript.pyannote[2176].start 17243.19284375
transcript.pyannote[2176].end 17243.59784375
transcript.pyannote[2177].speaker SPEAKER_03
transcript.pyannote[2177].start 17244.34034375
transcript.pyannote[2177].end 17246.17971875
transcript.pyannote[2178].speaker SPEAKER_03
transcript.pyannote[2178].start 17247.52971875
transcript.pyannote[2178].end 17250.31409375
transcript.pyannote[2179].speaker SPEAKER_16
transcript.pyannote[2179].start 17250.01034375
transcript.pyannote[2179].end 17250.11159375
transcript.pyannote[2180].speaker SPEAKER_03
transcript.pyannote[2180].start 17250.66846875
transcript.pyannote[2180].end 17264.99534375
transcript.pyannote[2181].speaker SPEAKER_16
transcript.pyannote[2181].start 17264.99534375
transcript.pyannote[2181].end 17265.02909375
transcript.pyannote[2182].speaker SPEAKER_03
transcript.pyannote[2182].start 17265.02909375
transcript.pyannote[2182].end 17265.34971875
transcript.pyannote[2183].speaker SPEAKER_16
transcript.pyannote[2183].start 17265.34971875
transcript.pyannote[2183].end 17265.36659375
transcript.pyannote[2184].speaker SPEAKER_03
transcript.pyannote[2184].start 17265.36659375
transcript.pyannote[2184].end 17265.40034375
transcript.pyannote[2185].speaker SPEAKER_03
transcript.pyannote[2185].start 17265.63659375
transcript.pyannote[2185].end 17267.44221875
transcript.pyannote[2186].speaker SPEAKER_03
transcript.pyannote[2186].start 17270.07471875
transcript.pyannote[2186].end 17277.26346875
transcript.pyannote[2187].speaker SPEAKER_03
transcript.pyannote[2187].start 17278.41096875
transcript.pyannote[2187].end 17287.91159375
transcript.pyannote[2188].speaker SPEAKER_03
transcript.pyannote[2188].start 17288.48534375
transcript.pyannote[2188].end 17290.03784375
transcript.pyannote[2189].speaker SPEAKER_05
transcript.pyannote[2189].start 17290.78034375
transcript.pyannote[2189].end 17291.75909375
transcript.whisperx[0].start 1663.058
transcript.whisperx[0].end 1685.457
transcript.whisperx[0].text 報告委員會初期委員11人已足法定人數請主席宣布開會來現在開會進行報告事項那宣讀上次的會議議事錄立法院第11屆第4會期司法及法制社會福利及衛生環境委員會第一次聯席會議議事錄時間中華民國115年1月7日星期三上午9時至下午2時30分
transcript.whisperx[1].start 1686.638
transcript.whisperx[1].end 1705.437
transcript.whisperx[1].text 地點本院紅樓302會議室出席委員林月琴委員等27人列席委員林德福委員等10人列席官員衛生福利部部長石崇良等人主席莊昭齊委員瑞雄討論事項1 病案審查行政院罕經審議衛生福利部組織法第二條第五條及第八條條文修正草案等10案2
transcript.whisperx[2].start 1706.238
transcript.whisperx[2].end 1732.936
transcript.whisperx[2].text 病案審查行政院環境審議衛生福利部兒少及家庭支持署組織法草案等7案病案審查行政院環境審議衛生福利部長期照顧及社會發展署組織法草案等6案病案審查行政院環境審議衛生福利部中央健康保險署組織法第二條條文修正草案等5案病案審查行政院環境審議國家醫療科技評估中心設置條例草案等4案病案審查行政院環境審議國家中醫研究院設置條例草案等10案
transcript.whisperx[3].start 1733.516
transcript.whisperx[3].end 1750.623
transcript.whisperx[3].text 本次會議有委員黃國昌等二十六人提出質詢委員邱振軍等三人提出書面質詢決議一報告及詢答完畢二第一案至第六案均另定期繼續審查三委員質詢時要求提供相關資料或以書面答覆者請相關機關盡速送交個別委員及本聯席會宣讀完畢
transcript.whisperx[4].start 1753.261
transcript.whisperx[4].end 1765.615
transcript.whisperx[4].text 請問各位上次會議議事錄有無錯誤或遺漏如果沒有錯誤跟遺漏我們議事錄就確定了接著我們來介紹大臥廠的委員跟應邀列席的官員在場有王正旭委員還有我們陳佩瑜委員
transcript.whisperx[5].start 1774.113
transcript.whisperx[5].end 1792.902
transcript.whisperx[5].text 廖偉祥委員 笑臉過眼睛來 委員介紹完以後 接著我們介紹應邀列席的官員有我們衛福部石崇良部長早 昨天我讓你們來那麼多 不能讓你們黏那麼多
transcript.whisperx[6].start 1795.534
transcript.whisperx[6].end 1801.259
transcript.whisperx[6].text 請參閱好不好還有行政院人事行政總署常務副人事長沈德蘭副人事長
transcript.whisperx[7].start 1808.53
transcript.whisperx[7].end 1831.488
transcript.whisperx[7].text 我們其餘未介紹的列席代表請參閱名單我就不再一一來逐一介紹了並列入公報記錄了那本次的議程我們討論事項的排定繼續來並案審查行政院函請審議衛生福利部組織法第二條第五條第八條條文的修正草案等相關法案
transcript.whisperx[8].start 1832.168
transcript.whisperx[8].end 1851.875
transcript.whisperx[8].text 一共有六案我們前面在前逾115年1月7號本會期司法法制跟社會福利及衛生環境委員會第一次的聯席會議審查決議是報告及詢答完畢以後均另定期繼續審查那本次會議我們在併入院會副委的
transcript.whisperx[9].start 1854.736
transcript.whisperx[9].end 1871.81
transcript.whisperx[9].text 新增提案源於今日繼續來進行併案的審查那伊莉我們先進行在併入的新增提案的提案說明發言時間就三分鐘我們是不是先請我們王正旭委員來做提案說明這不快給你回覆一下
transcript.whisperx[10].start 1885.223
transcript.whisperx[10].end 1905.596
transcript.whisperx[10].text 謝謝主席主席還有各位同仁還有衛福部的長官謝謝主席針對衛福部組織法等六個主改的法案其中特別在國家醫療科技評估中心設置條例以及衛福部組織法而家屬的部分希望能夠
transcript.whisperx[11].start 1906.457
transcript.whisperx[11].end 1932.386
transcript.whisperx[11].text 提出兩個我認為在醫療權益跟兒少福利的重要議題所以利用這個時間跟大家做個提案說明第一就是醫療科技評估應該要明確的納入新醫療技術第二呢兒家屬的跨部會的協調權責應該要正式的入法有關於這個醫療科技評估納入新醫療技術的部分呢在行政院版國家醫療科技評估中心設置條例草案裡面
transcript.whisperx[12].start 1933.867
transcript.whisperx[12].end 1957.822
transcript.whisperx[12].text 包括說醫療科技僅列出的這個藥品醫材 手術等處置的這個範疇實務上許多新的醫療技術可能並沒有完全的在包括在裡面以這個癌症有關所謂進階治療為例或者是BNCT就是膨脹值的補貨治療為例他們其實是結合了手術
transcript.whisperx[13].start 1958.843
transcript.whisperx[13].end 1983.911
transcript.whisperx[13].text 也結合了放射源跟藥物的特性導致未來在主審的時候可能會造成一些困難所以我建議應該設置條例裡面第三條立法說明明確納入新醫療技術避免審查範圍受限而目前的醫事師委託醫策會審查的新醫療技術人體試驗裡面未來也應該討論是否整合到整個評估中心確保
transcript.whisperx[14].start 1985.171
transcript.whisperx[14].end 2012.551
transcript.whisperx[14].text 業務的一致性否則的話不同的部會呢它會分別根據自己的權責做處理事實上很多的新醫療科技它是會橫跨不同的這些面向那第二個是有關兒家屬跨部會協調權責入法的部分新成立的兒少及家庭支持屬將整合保護師 社工師及社家屬的相關業務但過去兒童事務分散在各組裡面哪裡推動跨部會的溝通
transcript.whisperx[15].start 2013.251
transcript.whisperx[15].end 2040.296
transcript.whisperx[15].text 是一個現實的困境若無明確的法源兒家屬將難以主導跨部會政策支援的整合所以應該參考內政部新住民業務範圍將衛福部組織法第五條修正草案中明文的增加兒家屬具備兒少事項的協調權責以上兩點關乎台灣醫療的前瞻性跟孩子成長的安全環見譴衛福部跟各位同仁
transcript.whisperx[16].start 2040.976
transcript.whisperx[16].end 2045.321
transcript.whisperx[16].text 能夠將這個納入考量再度謝謝主席 謝謝好 謝謝王振旭委員提案說明接下來請廖偉祥委員來進行提案說明來 算不用跟你講一下 對吧
transcript.whisperx[17].start 2066.892
transcript.whisperx[17].end 2094.924
transcript.whisperx[17].text 感謝我們的召委感謝主席這次的排案那衛福部這一次的組織法修正中我想大家也都非常關注而且是很重要的亮點莫過於將12年前裁測的兒童局重新納入體制設立兒少級家庭支持署然而本席關切的是兒家署未來定位為三級機關是否真的能有效發揮跨部會跨體系的橫向整合功能
transcript.whisperx[18].start 2095.504
transcript.whisperx[18].end 2114.481
transcript.whisperx[18].text 那我想關鍵也不僅在於組織是否成立更在於治理模式可不可以真正的轉型否則呢也難以務實的回應少子化與兒少發展的結構性挑戰那我想未來兒家屬也應該以跨域治理為核心那也建立制度化的橫向協調機制實質的串聯醫療社福教育與司法體系
transcript.whisperx[19].start 2120.606
transcript.whisperx[19].end 2136.965
transcript.whisperx[19].text 避免政策各自為政資源零碎分散那本席也要特別提醒在醫療與社福的整合上相關的預算當然也必須要足夠和到位還有人員也要到位才能將早期介入與預防導向真正落實
transcript.whisperx[20].start 2138.146
transcript.whisperx[20].end 2165.023
transcript.whisperx[20].text 那另外在職長定位上兒家屬不應只有既有的業務的診病單位而應該成為政策創新的引擎所以青少年政策應該涵蓋身心健康和風險行為預防與社會參與那家庭支持與育兒支持則需要回應不同生命階段與多元家庭形態提供連續且可進的支持服務
transcript.whisperx[21].start 2166.285
transcript.whisperx[21].end 2175.224
transcript.whisperx[21].text 最後所有政策目標能否落實當然仍然取決於人力預算以及整體的制度設計是不是都有到位
transcript.whisperx[22].start 2175.973
transcript.whisperx[22].end 2198.026
transcript.whisperx[22].text 那兒家屬的正式編制的人力與年度預算規模為何然後成立後呢國家整體兒少相關預算佔中央政府總預算及GDP的比例是否定有明確的成長目標與其成也是檢視政府對兒少權益長期承諾的關鍵指標好 那謝謝感謝我們的主席 謝謝
transcript.whisperx[23].start 2200.424
transcript.whisperx[23].end 2226.025
transcript.whisperx[23].text 好 謝謝廖委員 韋翔的提案說明接下來請陳培宇委員來做說明你剛有暗嗎 今天嗎上次你已經 你有講過就好 反正你考察好大家都知道
transcript.whisperx[24].start 2228.07
transcript.whisperx[24].end 2252.498
transcript.whisperx[24].text 來 我們提案說明已進行完畢現在我們就來進行討論事項討論前我先請議事人員一併來宣讀討論事項六案當中新增的提案的條文宣讀時間才會六分鐘如果有收到新的修正動議我們就一併來做宣讀宣讀以後我們馬上要來主案進行討論我們請宣讀條文
transcript.whisperx[25].start 2257.109
transcript.whisperx[25].end 2284.188
transcript.whisperx[25].text 討論事項第一案 衛生福利部組織法 瓜湖十一委員吳麗華等提案第二條 除將第十條條文第十款條文中的與修正為及其餘各款均同行政院提案 第五條除將第二款化妝品質管理前的頓耗修正為與第四款刪除生育照護四個字 第五款後段修正為五 兒少及家庭自治署規劃與執行托育照護 早期療癒兒童及少年之福利與權益保障 醫療照護
transcript.whisperx[26].start 2285.529
transcript.whisperx[26].end 2304.194
transcript.whisperx[26].text 健康促進心理健康促進及家庭支持服務事項並增列第7款其原住民健康照顧署統籌規劃並推動原住民族健康促進文化安全之醫療照護強化原鄉醫療資源部件並辦理健康不平等之改善及其相關調查研究事項外
transcript.whisperx[27].start 2304.654
transcript.whisperx[27].end 2329.842
transcript.whisperx[27].text 其餘同行政院提案 瓜虎十二 委員王珍旭等提案同行政院提案 瓜虎十三 委員張雅玲等提案除將第五條第五款修正為五 兒少及家庭自治署規劃與執行托育照護 早期療癒兒童與少年福利及權益保障 輕職教育與家庭支持服務並統籌兒童與少年之健康促進預防保健與醫療照護相關政策 其餘均同行政院提案
transcript.whisperx[28].start 2330.322
transcript.whisperx[28].end 2356.248
transcript.whisperx[28].text 瓜湖十四委員王宏威等提案條文均同行政院提案瓜湖十五委員徐曉欣等提案同行政院提案瓜湖十六委員劉建國等提案除將第五條第五款修正為五兒小及家庭支持署規劃與執行托育照護早期療癒兒童少年福利與權益保障家庭支持服務健康促進事項及因應少子化政策規劃外其餘均同行政院提案討論事項第二案衛生福利部兒小及家庭支持署組織法
transcript.whisperx[29].start 2357.648
transcript.whisperx[29].end 2382.305
transcript.whisperx[29].text 8.委員王森旭等提案 同行政院提案9.委員張耀林等提案 除將第二項第12款分別修正為2.兒童少年保護性剝削防治性侵害防止安置與照顧政策之規劃推動與執行及相關法規之原定12.兒童及少年偏差行為輔導之規劃整合統籌及跨機關政策協調及第6條修正為本法實行日期
transcript.whisperx[30].start 2382.705
transcript.whisperx[30].end 2392.31
transcript.whisperx[30].text 由行政院以命令定之外 名稱及其餘條文均同委員羅廷偉等提案 瓜湖市委員汪洪偉等提案 瓜湖市委員徐曉欣等提案均同行政院提案
transcript.whisperx[31].start 2393.854
transcript.whisperx[31].end 2417.763
transcript.whisperx[31].text 瓜胡12 委員李燕秀等提案 名稱及第1條 第2條序文及第1款均同行政院提案 增列第2款生育促進友善環境與養育等少子女化對策之規劃 第3到6款同行政院提案2到5款第7款修正為期兒童少年醫療健康促進預防保健防止虐待與疏忽防治政策之規劃 第8 12
transcript.whisperx[32].start 2419.784
transcript.whisperx[32].end 2447.399
transcript.whisperx[32].text 第八至十二款同行政院提案 七到十一款 第三條至第六條均同行政院提案 括弧十三委員廖偉祥等提案 除第六條修正為本法事情日期由行政院訂之外 名稱及其餘條文均同行政院提案 括弧十四委員劉建國等提案名稱及第一條均同行政院提案 第二條第一款至第四款默劇的及前均增加一個逗號 其餘文字同行政院提案 五 兒童少年遭受不當對待暴力與虐待之
transcript.whisperx[33].start 2448.419
transcript.whisperx[33].end 2474.98
transcript.whisperx[33].text 之預防防止早期介入及跨體系保護政策之規劃推動與執行並嚴定相關法規六 兒童少年遭受霸凌歧視或其他侵害及身輕發展行為之預防防止及諮詢支持與通報體系之規劃推動與協調七 因少子女化趨勢營造支持結婚生育及育兒之社會環境並就兒童及家庭支持相關政策進行整理規劃推動與協調第八款中型支援提案第五款第九款默劇的都號修正為即
transcript.whisperx[34].start 2475.62
transcript.whisperx[34].end 2491.418
transcript.whisperx[34].text 第十款同行政院提案第七款十一 兒童少年福利機構及兒童少年與家庭支持福利服務事項之監督輔導及考核十二 兒童少年與家庭支持業務資資通訊應用發展國際合作及交流第十三款同行政院提案第十一款
transcript.whisperx[35].start 2492.099
transcript.whisperx[35].end 2520.045
transcript.whisperx[35].text 第三條至第六條均同行政院提案 討論事項第三案 衛生福利部長期照顧及發展署組織法 括弧七委員王珍旭等提案 同行政院提案 括弧八委員張雅玲等提案 除第二條第一款與規劃後增列研究兩個字之外 名稱及其餘條文均同行政院提案 括弧九委員王鴻衛等提案 括弧十委員徐曉新等提案 均同行政院提案 括弧十一委員廖偉翔等提案 除將第六條修正委本法實行日期由行政院定之外
transcript.whisperx[36].start 2520.825
transcript.whisperx[36].end 2538.359
transcript.whisperx[36].text 名稱及其餘條文均同行政院提案括弧十二委員劉建國等提案同行政院提案討論事項第四案衛生福利部中央健康保險署組織法括弧六委員林月琴等提案第二條括弧七委員王珍聚等提案第二條及括弧八委員徐小新等提案第二條均同行政院提案
transcript.whisperx[37].start 2539.279
transcript.whisperx[37].end 2564.571
transcript.whisperx[37].text 討論事項第五案 國家醫療科技評估中心實質條例 括弧五委員林苑晴等 括弧六委員王珍旭等 括弧七委員徐小青等 括弧八委員劉建國等提案 致名稱各張章名及條文均同行政院提案討論事項第六案 國家中醫研究院實質條例 括弧十一委員羅廷偉等提案 足將第四條第一項修正為本院辦理前條第一款業務的附設中醫研究教學醫療機構 其名稱各張章名及條文均同行政院提案
transcript.whisperx[38].start 2565.251
transcript.whisperx[38].end 2589.049
transcript.whisperx[38].text 括弧十二 委員王珍區域等提案 同行政院提案 括弧十三委員張雅玲等提案對照委員中加病等提案除第五條第一項第三至四款及第二項為同行政院提案及第九條第二項修正為政府機關代表之董事監視因應職務進退不受前項續併次數制限制依第六條第一項第二款之第四款及第七條第一項第二款之規定聘任之董事監視任期間滿錢出缺者由監督機關領選
transcript.whisperx[39].start 2590.29
transcript.whisperx[39].end 2618.429
transcript.whisperx[39].text 提請行政院院長補聘之其任期至原任者之任期屆滿為止第十五條第一項及第二項分別修正為董事監視應遵守利益迴避原則不得利用職務上之權利機會及或方法塗抹本人或關係人之利益其利益迴避之範圍及違反實質處置由監督機關定之董事監視相互間不得有配偶及三金等以內血清陰性之關係第十六條第二項目據修正為行為人應對其負損害賠償責任第十九條序文刪除及院長三個字
transcript.whisperx[40].start 2618.929
transcript.whisperx[40].end 2643.233
transcript.whisperx[40].text 第二項第一款默劇增列有確實證據 第三款前段修正為三本院當屆年度績效評鑑第七款條文中的時期修正為十六 第二十七條第七項的返還修正為歸還 第三十二條第一項前段修正為本條例實行前衛生福利部國家中醫藥研究所現有編制內依供人員相關任用法律任用人員與機關改制
transcript.whisperx[41].start 2643.753
transcript.whisperx[41].end 2666.986
transcript.whisperx[41].text 之日 隨同移轉本院繼續任用者 第二項修正為前項修正 前項繼續任用任用人員中 人事及主計人員之管理與其他公務人員同 第三具聚首增列前二項三個字 第三十九條默劇修正為第三十七條及前條之規定以外 其名稱 各項照明及條文均同委員 專家兵等提案 括弧十四委員徐曉清等提案 同行進行提案 宣讀完畢
transcript.whisperx[42].start 2671.378
transcript.whisperx[42].end 2699.27
transcript.whisperx[42].text 繼續宣讀修正動力部分討論事項一共兩件目前收到兩件修正動力一第五條對照行政院版第五條處第五款中規劃與執行托育照護修正為規劃頓耗執行與協調托育照護外與未修正提案人王正旭等人修正動力二
transcript.whisperx[43].start 2701.752
transcript.whisperx[43].end 2730.729
transcript.whisperx[43].text 第五條對照行政院版提案除第六款修正為社會發展及長照署外與未修正提案人林月琴 連署人等人討論事項第二案共兩件修正動議一第三條對照行政院提案除比照檢認第十三指等等至三處外與
transcript.whisperx[44].start 2732.492
transcript.whisperx[44].end 2760.229
transcript.whisperx[44].text 委修正提案人黃國昌等人討論事項第二案修正動議二第二條修正文字請參閱書面資料提案人林月琴等人討論事項第三案修正動議共兩件修正動議一第三條對照行政院提案除比照檢驗第十三等值等或或
transcript.whisperx[45].start 2761.089
transcript.whisperx[45].end 2780.365
transcript.whisperx[45].text 等文字刪除外與未修正提案人黃國昌等人導入事項三修正動力二第一條修正將修正為社會發展及產造屬外與未修正提案人林月琴等人宣讀完畢
transcript.whisperx[46].start 2798.756
transcript.whisperx[46].end 2822.082
transcript.whisperx[46].text 條文宣讀完畢我們現在來進行討論討論事項第一案就病案審查行政院函請審議衛生福利部組織法第二條第五條 第八條條文修正草案等16案請問在場的委員是不是要先進行大體討論或者要直接進入諸條審查直接
transcript.whisperx[47].start 2825.049
transcript.whisperx[47].end 2839.106
transcript.whisperx[47].text 好啦 那就直接來進入主條審查繼續來進行主條討論那本案是部分修正一共有
transcript.whisperx[48].start 2840.747
transcript.whisperx[48].end 2853.173
transcript.whisperx[48].text 要處理的是三條那第二條行政院的提案還有委員等 我再加下去這2 3 4 5 6 7 8 9 10 11 12 13 14 15個提案那請問在場的委員有什麼意見
transcript.whisperx[49].start 2866.924
transcript.whisperx[49].end 2874.147
transcript.whisperx[49].text 來 范雲委員 主席 我有一個修正動議不知道是不是已經發下來了 好 好 好像還沒有發下來 等一下好不好 現在在經歷
transcript.whisperx[50].start 2902.563
transcript.whisperx[50].end 2922.647
transcript.whisperx[50].text 你修正的範圍你的也要先宣讀我們現在先宣讀好不好還是要宣讀請宣讀宣讀衛生福利部修正動力3
transcript.whisperx[51].start 2928.922
transcript.whisperx[51].end 2953.208
transcript.whisperx[51].text 第二條除第四款修正為婦女權利保障婦女福利服務社會參與及家庭暴力性侵害性騷擾防治與其他服務保護服務業務之政策規劃管理監督推動執行及相關法規之原定外與未修正提案人陳佩瑜范雲
transcript.whisperx[52].start 2954.482
transcript.whisperx[52].end 2957.404
transcript.whisperx[52].text 等人宣讀完畢繼續宣讀討論事項一修正動議事第二條對照行政院提案
transcript.whisperx[53].start 2988.1
transcript.whisperx[53].end 3012.352
transcript.whisperx[53].text 第六款修正為護理政策法令之規劃管理監督及研究第八款心理健康精神疾病防治相關政策與物質成癮防治政策規劃管理及監督增訂第二項
transcript.whisperx[54].start 3015.165
transcript.whisperx[54].end 3039.456
transcript.whisperx[54].text 本法實行前本部原聘僱用之約聘僱人員及約聘僱用之行政助理於本法實行後原任職之單位經裁測或整併者均列測管制繼續任原職並依原適用法令規定之標準及原聘僱用計畫繼續辦理至離職或退休時為止
transcript.whisperx[55].start 3044.107
transcript.whisperx[55].end 3073.2
transcript.whisperx[55].text 提案人陳昭芝等人繼續宣讀修正動議修正動議第三案修正動議三第二條修正文字請參閱書面資料提案人林月琴等人繼續宣讀修正討論事項第五案修正動議一第一條
transcript.whisperx[56].start 3074.97
transcript.whisperx[56].end 3095.504
transcript.whisperx[56].text 對照行政院提案為促進全民健康與福祉針對衛生醫療相關政策應用醫療科技評估方法作為合理醫療資料資源配置與健康政策決策之依據特設國家醫療科技評估中心以下檢證本中心並制定本條例
transcript.whisperx[57].start 3096.633
transcript.whisperx[57].end 3116.105
transcript.whisperx[57].text 本中心應結合醫療科技評估方法學識證基礎及社會倫理價值並建立具可科則性治理與監督機制第3條修正文字請參閱書面資料第6條
transcript.whisperx[58].start 3128.039
transcript.whisperx[58].end 3139.195
transcript.whisperx[58].text 第二項修正委不得於董事總人數三分之一提案人陳昭芝等人 宣讀完畢
transcript.whisperx[59].start 3142.591
transcript.whisperx[59].end 3165.211
transcript.whisperx[59].text 好 我們現在剛剛所宣讀的有行政院還有一共本來是15後來又增加了范雲等4人所提修正動議還有程昭芝等3人所提修正動議現在是不是請機關來做一個說明請我們衛福部 石部長
transcript.whisperx[60].start 3165.711
transcript.whisperx[60].end 3191.642
transcript.whisperx[60].text 好 主席跟各位委員那這個我們先討論到組織法的部分那麼第二條主要是因應我們這整個這一次的主改業務的移動所以我們修正了第二條的執檔內容那麼原條文裡面有關生育及托育照護政策我們會移到未來的兒少數所以在第二條裡面的予以刪除
transcript.whisperx[61].start 3192.262
transcript.whisperx[61].end 3211.273
transcript.whisperx[61].text 那麼長照服務跟早療那麼分別會移到長照會移到這個長期照顧及社會發展署那早療的話也是到兒少署所以我們這一個原本條文的第7款那麼我們也把它做了修正
transcript.whisperx[62].start 3212.653
transcript.whisperx[62].end 3240.183
transcript.whisperx[62].text 那這個其餘的委員的版本裡面呢那麼有關於健保及國民年金這是林業勤委員跟王毓民委員的版本那麼因為這個國民年金跟健保的監理仍然留著所以我們條文把監理留下但是呢有關於全民健保的法規政策規劃則移到了這個健保署所以我們這個
transcript.whisperx[63].start 3241.503
transcript.whisperx[63].end 3265.728
transcript.whisperx[63].text 建議按照行政院的版本來來通過那至於有這個核心存委員提到文字在社工人力配置因為在我們第三款就有社會工作社會資源社會社區發展所以已經包含在人力裡頭那麼建議也維持這個行政院的版本以上另外林月琴委員有
transcript.whisperx[64].start 3266.468
transcript.whisperx[64].end 3295.3
transcript.whisperx[64].text 特別提出這個所屬中醫藥研究跟這個司法精神研究因為我們這一次並同成立國家中醫研究院的行政法人所以我們建議這個不需要再列在這個所屬我們已經調整所以已經沒有所屬的國家中醫藥研究所了所以這個一併也刪除建議維持這個行政院版本以上說明
transcript.whisperx[65].start 3297.008
transcript.whisperx[65].end 3316.899
transcript.whisperx[65].text 好 謝謝 石部長說明行政院 衛福部現在已經說明完畢了那接下來我看一共17個委員的一個提案石部長您知道 我就參照您行政院當然很多裡面大同小異77個跟你們合夥的 我就去做一個版本
transcript.whisperx[66].start 3323.538
transcript.whisperx[66].end 3346.631
transcript.whisperx[66].text 來 您整理一下有一個版本是不是要發下去還是說我們投在這個螢幕上給大家看一下我看要發下來還是要發下來好 那就趕快印一下先給那個現場的委員因為你17個版本你這不整合一下一定是
transcript.whisperx[67].start 3354.48
transcript.whisperx[67].end 3355.762
transcript.whisperx[67].text 那是不是我們在場的委員來了針對這第二條沒有什麼要來做這先走手就先歐一姐來 范雲委員
transcript.whisperx[68].start 3373.22
transcript.whisperx[68].end 3402.76
transcript.whisperx[68].text 好 謝謝昭緯那這邊我有一個修正動議主要是關於那個本部長裡下列事項的第四項那原本是家庭暴力性侵害性騷擾防治與其他保護服務業務之政策規劃管理及監督那我的修正動議是在前面加幾個字婦女權益保障 頓號婦女福利服務 頓號社會參與及後面就是原來的家庭暴力等等然後在監督之後再加上
transcript.whisperx[69].start 3403.46
transcript.whisperx[69].end 3429.456
transcript.whisperx[69].text 推動執行及相關法規之嚴定為什麼要這樣提大家知道說我們其實行政院裡面有個性別平等處可是他完全都沒有是說辦法執行就是直接到業務的部分他只能做管考有業務明確的其實就只有衛福部過去放在第三級的婦女福利的與政策規劃組
transcript.whisperx[70].start 3430.797
transcript.whisperx[70].end 3450.265
transcript.whisperx[70].text 那大家婦女團體感覺到說長期婦女福利業務在衛福部當中雖然有可是處於一個比較邊陲的位置那依照過去在社家署下面的統計現在的婦女福利科其實只有7個員額那業務也只有占社家署的公務預算的0.12%
transcript.whisperx[71].start 3452.706
transcript.whisperx[71].end 3468.02
transcript.whisperx[71].text 在公益彩券的回饋金中占比只有6.81%我們是非常肯定這一次衛福部的改組能夠更重視兒童的兒少相關權益還有長照3.0這非常的重要也是賴總統的政見但是
transcript.whisperx[72].start 3470.962
transcript.whisperx[72].end 3493.975
transcript.whisperx[72].text 我們也會擔心說有些團體就是會擔心在三級機關底下的其中一個組別那沒有辦法改善長期資源不足這個議題在衛福部裡面好像比較邊緣化而且擔心長照未來是重中之重會不會更邊緣化那當然也是有團體覺得也許放在長照署這裡是好的
transcript.whisperx[73].start 3494.335
transcript.whisperx[73].end 3508.271
transcript.whisperx[73].text 不過大家整體的共識不管怎麼想大家就是希望提升人力預算以及就是婦女福利跟婦女權益的議題在衛福部當中可以更主流不要太邊緣化
transcript.whisperx[74].start 3509.372
transcript.whisperx[74].end 3527.234
transcript.whisperx[74].text 那根據中央行政機關組織基準法下面各司底下可以設4到8顆那署底下各組只有3到6顆所以我這邊有幫我們一些婦女團體大家提一個案子就是除了社家署下面的婦女福利組之外希望能夠
transcript.whisperx[75].start 3528.195
transcript.whisperx[75].end 3542.452
transcript.whisperx[75].text 婦女權益跟婦女福利跟保護私合併提升到二級機關當然也要跟大家講就是說有團體也擔心說那這樣子署這邊是不是就無法執行了所以我想
transcript.whisperx[76].start 3543.072
transcript.whisperx[76].end 3566.497
transcript.whisperx[76].text 大家都有這個憂慮但是共同的看法就是提升成績 提升人力跟資源所以請衛福部待會兒是不是能夠說明一下就是放在署底下的主跟放在私底下各自婦女相關的業務會有幾個科會有多少人那我也這邊也要肯定社家署過去大力支持督導地方政府
transcript.whisperx[77].start 3566.937
transcript.whisperx[77].end 3583.805
transcript.whisperx[77].text 其實各縣市包含我們主席在內的這個屏東跟台東其實都已經在它過去這個社會福利的相關的規劃中出現很多跨領域的跨局處的方案譬如說中高齡女性成立照顧工作合作社
transcript.whisperx[78].start 3584.565
transcript.whisperx[78].end 3611.147
transcript.whisperx[78].text 身心障礙母親的育兒支持部落婦女經濟賠利還有未成年懷孕母親的創業支持只是這些方案好像還沒有機會能夠更滲透更成為縣市政府或者是全國性的政策所以我們覺得這些很好的過去衛福部下面的婦女福利的相關業務是不是能夠在這個改組的過程中在私的部分
transcript.whisperx[79].start 3612.148
transcript.whisperx[79].end 3625.472
transcript.whisperx[79].text 有一些不同的名稱包含婦女權益及保護司或是婦女權與安全司希望能夠多一點點讓大家有凝聚共識的機會所以今天有一個不情之請希望朝偉說這一條因為我們婦女團體快要有共識
transcript.whisperx[80].start 3628.973
transcript.whisperx[80].end 3644.152
transcript.whisperx[80].text 但是共識就是我們有絕對的共識就是要增加人力預算跟那個層級那可是關於就是說是完全移動到私或者屬還是有一些不同意見是不是能夠先行保留因為
transcript.whisperx[81].start 3644.953
transcript.whisperx[81].end 3664.794
transcript.whisperx[81].text 在第二回合的時候或者是委員會協商的時候那大家能夠有一個更清楚的方向等到衛福部能夠有更明確的說明因為這一波改組就是婦女團體知道的時候時間點比較晚一點那這邊也先跟召委還有大家還有跟部長就是表達一下我們對這個議題的關切以上 謝謝
transcript.whisperx[82].start 3668.779
transcript.whisperx[82].end 3681.944
transcript.whisperx[82].text 這條一定跟您保留 您的意見都不一樣跟您提案說明都不一樣再來請鄭天才委員也表達一下不同的意見我等一下就先暫保留了好 召委 各位委員還有我們衛福部及各機關
transcript.whisperx[83].start 3684.305
transcript.whisperx[83].end 3699.415
transcript.whisperx[83].text 這個有關第二條會跟這個後面的第五條有連動關係這個盧縣衣委員跟本席共同提案的條文裡面就是特別針對原住民族的部分
transcript.whisperx[84].start 3700.296
transcript.whisperx[84].end 3715.258
transcript.whisperx[84].text 那因為長期以來我們一再的從過去的這個衛福部的組織法我們就希望這個要求這個衛福部能夠重視原住民族的健康醫療各方面
transcript.whisperx[85].start 3715.939
transcript.whisperx[85].end 3733.798
transcript.whisperx[85].text 所以我們一直希望能夠提升相關的層級但是始終都沒有辦法列在這個衛福部的連一個師都沒有辦法所以盧憲一委員跟本席事實上還有武理法委員也有提案
transcript.whisperx[86].start 3735.019
transcript.whisperx[86].end 3764.419
transcript.whisperx[86].text 這個希望能夠將另外成立這個原住民健康照顧署這個部分因為事實上就原住民族的健康的議題大家都很清楚包括我們的生命這個平均移民都差距都非常大所以這個部分是會跟第二條或跟第五條都有聯動的關係所以在這邊特別說明希望這個衛福部能夠支持希望各位委員能夠支持以上
transcript.whisperx[87].start 3766.322
transcript.whisperx[87].end 3773.015
transcript.whisperx[87].text 第二層委員再來在黃玉明委員第二層委員來 你先
transcript.whisperx[88].start 3776.294
transcript.whisperx[88].end 3804.22
transcript.whisperx[88].text 你們要不要 我來 請因為我要去質詢好 謝謝岳勤委員有關於這個第二款的部分行政院版的修正他把全民健康保險及國民年金業務之監理他改成是這樣子原來其實是衛福部應該要負責全民健康保險國民年金財務之政策規劃管理及監督雖然他提案說明有寫但是其實我們這邊是修衛福部組織法的第二條
transcript.whisperx[89].start 3805.18
transcript.whisperx[89].end 3824.093
transcript.whisperx[89].text 那你說這個健保署這個有一些業務移到健保署但是TOTO你是衛福部所以在這個組織裡面第二條你的所有的職長裡面我覺得應該是要維持原來的現行的條文它涵蓋的面向才是比較廣
transcript.whisperx[90].start 3824.895
transcript.whisperx[90].end 3842.394
transcript.whisperx[90].text 那至於之後你說那個在中央健保署有分工他會做更多的規劃我覺得那是另外一回事所以我的意見是原來第二款應該維持這個本期提出來我提出來就是原來的現行條文因為畢竟全民健保國民年金有關財務
transcript.whisperx[91].start 3843.675
transcript.whisperx[91].end 3864.132
transcript.whisperx[91].text 跟政策規劃管理還是很重要的一環好 謝謝王一鳴委員我們再發言一位我知道你們都有你們的意見要表達我聽了四位 四位意見都不一樣了那這個條文 大家你們不用煩惱等一下我就暫保留了衛福部再去溝通看看
transcript.whisperx[92].start 3865.593
transcript.whisperx[92].end 3882.687
transcript.whisperx[92].text 這個林業勤委員你發言完畢以後我們就進入下一條因為這一條沒有共識前面就每一個人就已經有五個人不一樣了請林業勤委員來發言好因為剛剛范委員提到說要在這邊第四款去放婦女權益保障跟婦女福利服務
transcript.whisperx[93].start 3883.348
transcript.whisperx[93].end 3900.999
transcript.whisperx[93].text 社會參與這一定要有點跟合併我們在長髮署的時候要做討論嗎如果婦女放這邊那長髮署就要把婦女移開來我覺得我還是要幫團體表達意見了有其他婦女團體是認為要改再發第二條
transcript.whisperx[94].start 3904.461
transcript.whisperx[94].end 3916.226
transcript.whisperx[94].text 基於幾個理由 認為應該要去調整原來主改的邏輯都是用人口別那你現在又把婦女拉到功能別那邊跟
transcript.whisperx[95].start 3917.15
transcript.whisperx[95].end 3939.588
transcript.whisperx[95].text 保護放在一起似乎跟這次主改的整個邏輯好像沒辦法切合因為兒少然後身障長照婦女一個放在家屬一個放在我們的長發屬那現在又要變成把婦女單純拉出來這個用人口別又跟功能別併在一起大家婦女團體也會擔心說那這樣子會不會產生第二個問題就是
transcript.whisperx[96].start 3941.23
transcript.whisperx[96].end 3948.1
transcript.whisperx[96].text 婦女福利的整個的原本希望以他們為主體的就會不見為什麼當然你說放在那邊會主體不見可是本來在那邊是三個主體先來到這邊的話也會擔心的是跟保護綁在一起
transcript.whisperx[97].start 3955.931
transcript.whisperx[97].end 3975.03
transcript.whisperx[97].text 怕婦女只剩下保護的這樣的一個功能所在就是說那婦理服務的權益倡導跟婦理服務到底要不要做第三個大概因為對於他們來講的話就是希望整個交織性的服務門檻要降低為什麼因為到時候婦女對接在高齡對接在身障的話放在長發屬會
transcript.whisperx[98].start 3976.849
transcript.whisperx[98].end 3987.405
transcript.whisperx[98].text 是理想的這是這一塊主張所以我也同意剛才趙薇講的就是整個先保留因為否則的話現在馬上就要決定一個是放在這邊還是等一下在長髮署討論以上謝謝
transcript.whisperx[99].start 3990.097
transcript.whisperx[99].end 4017.114
transcript.whisperx[99].text 我是要給你們解釋 不然我就要保留你們大家的意見差距那麼大因為本來是說林若晴講完可是因為成昭之委員他有提修正動議我等成昭之委員來 請你發言簡單講一下就好了因為意見差距太大了我等一下就先暫時保留然後機關去溝通看看有機會的話 第二輪再回來好不好 請成昭之委員
transcript.whisperx[100].start 4019.349
transcript.whisperx[100].end 4047.223
transcript.whisperx[100].text 因為這次修這個維護部的組織法我想這個很重要一點是在請看我的修正動議在員工的部分我們再徵修一條就是說本來是寫其他有關衛生福利事項我們這個地方我們希望能夠徵修一條在本法實施前本部原聘僱用之約聘僱人員及原約僱用之行政助理於本法實施後實行後原任指示單位經裁測或整併者
transcript.whisperx[101].start 4048.744
transcript.whisperx[101].end 4062.389
transcript.whisperx[101].text 軍列冊管制繼續任原職並依原適用法令規定之標準及原聘用計劃繼續辦理治理職或退休時為止我們希望部長能夠就這個事情做一個說明您的員工啊您的員工陳情這件事是
transcript.whisperx[102].start 4074.994
transcript.whisperx[102].end 4089.917
transcript.whisperx[102].text 按照過去內政部組織好幾個好幾個部會機關他們在做這個組織法的修正書都提掉都適用這一條所以這次我個人認為是衛福部漏掉了漏掉了這個部分報告委員這一點因為這個部分這不是詢問啦這不是詢問啦這陳昭之委員的發言謝謝陳昭之委員
transcript.whisperx[103].start 4104.537
transcript.whisperx[103].end 4112.219
transcript.whisperx[103].text 第二條這個意見就差距太大了那是不是我們請因為衛福部剛也提出了一個修正那你一個條文那按照我們在場委員的意見其實有很多不同那也是你的修正的一個條文
transcript.whisperx[104].start 4123.203
transcript.whisperx[104].end 4131.574
transcript.whisperx[104].text 我們看看等一下有沒有辦法溝通完取得共識再來提出我們就先暫保留回頭再來處理那也請衛福部去做一個溝通那我們先來進行第五條第五條我們也請衛福部先來做說明
transcript.whisperx[105].start 4141.809
transcript.whisperx[105].end 4164.126
transcript.whisperx[105].text 跟委員說明第五條我們是新設這個刺激機關那個兒少第五款兒少及家庭支持署那原本的行政院的條文呢是指規劃與執行托育服務早期療癒兒童少年福利與權益保障家庭支持服務及健康促進事項
transcript.whisperx[106].start 4165.467
transcript.whisperx[106].end 4183.707
transcript.whisperx[106].text 那這個幾位委員特別有提到希望這個未來這個兒少署還能夠有一些包含這個生命統計包含預防保健醫療照護等等業務的統籌所以我們有建議把這個
transcript.whisperx[107].start 4186.45
transcript.whisperx[107].end 4206.165
transcript.whisperx[107].text 職長的文字稍微做一個修正在我們發下去的建議條文裡面呢那麼讓這個兒少及家庭支持署呢那麼我們重新修正文字為規劃與執行托育照顧早期療癒兒童及少年福利權益保障家庭支持服務事項分號
transcript.whisperx[108].start 4208.666
transcript.whisperx[108].end 4232.191
transcript.whisperx[108].text 統籌兒童及少年之生命統計健康促進預防保健及醫療照護相關政策那麼這個已經採納了幾位委員的意見我們把它包含林月琴委員包含這個吳立華委員等我們已經把它納進那麼另外在國民健康署的部分我們也
transcript.whisperx[109].start 4232.691
transcript.whisperx[109].end 4261.124
transcript.whisperx[109].text 希望借這個機會也修訂一個文字那麼我們把這個生育照顧把它擴大一點那麼成為生育健康所以我們建議修正的文字是這個國民健康署規劃與執行生育健康國民健康促進及癌症與其他非傳染病之防治事項那以上的說明再請委員支持
transcript.whisperx[110].start 4262.328
transcript.whisperx[110].end 4281.775
transcript.whisperx[110].text 來 王振旭委員好 謝謝主席謝謝剛剛部長的說明那有關於第五條裡面第五款兒少跟家庭支持署的部分那早上在做提案說明的時候也特別強調為什麼需要把這裡面的內文再加上協調這兩個字這個協調的
transcript.whisperx[111].start 4285.896
transcript.whisperx[111].end 4314.015
transcript.whisperx[111].text 位置就放在剛剛出了部長所說明以外在規劃頓耗執行與協調托育照護等等那之所以會這樣的這個期待跟希望能夠把協調放進在這個兒童特別放在這個兒童及家庭支持署裡面就是有鑑於我們的托育照護早期療癒兒童少年福利跟權益的保障家庭支持的服務健康促進事項業務真的非常
transcript.whisperx[112].start 4314.795
transcript.whisperx[112].end 4338.381
transcript.whisperx[112].text 多的部會都會受到影響包括教育部法律部司法院內政部等等那以前就是因為我們相關的單位成績真的非常的不足跟其他的單位做互相的協調所以我們才希望能夠把協調這兩個字放進來那其實這是參考包括內政部組織法第五條新住民事務政策是協調明文規定
transcript.whisperx[113].start 4340.382
transcript.whisperx[113].end 4362.342
transcript.whisperx[113].text 由新住民發展署主責教育部組織法第五條協調學校教育事項也明文規定由國民及學前教育署主責另外在環境部組織法的第二條交通部組織法第二條及數位部發展組織法第二條等部會的組織法都有將協調
transcript.whisperx[114].start 4363.863
transcript.whisperx[114].end 4388.738
transcript.whisperx[114].text 全責明文入法這範例所以才會修正第五款的這個文字也就是說我們在修正動議裡面特別將第五條的第五條的第五款有關兒少跟家庭支持署裡面把協調這兩個字能夠明文入法以上請各位委員支持也請部長支持謝謝好 謝謝王政帥委員再來我看先給七位
transcript.whisperx[115].start 4389.775
transcript.whisperx[115].end 4417.37
transcript.whisperx[115].text 立下姓阿貴碗天才阿貴碗吳宗憲委員來 另外請委員好 我的那個第六款這邊那衛福部原本寫的事實上是長照及社會發展署那我認為應該把它修正是社會發展及長照署因為這樣子會有比較有助於正確認知該署是要以社會發展為主
transcript.whisperx[116].start 4418.09
transcript.whisperx[116].end 4419.751
transcript.whisperx[116].text 为基础然后长照服务
transcript.whisperx[117].start 4448.31
transcript.whisperx[117].end 4477.342
transcript.whisperx[117].text 及長照署會比較合理以上謝謝好請鄭天才委員好有關這個第5條的部分剛才本席也在第2條的時候也特別提到這個原住民族的健康醫療照護各方面都是跟這個一般這個非原住民的差距非常的大尤其是我們很多都在
transcript.whisperx[118].start 4478.322
transcript.whisperx[118].end 4503.901
transcript.whisperx[118].text 偏鄉地區相關的醫療各方面更是需求很多但是一直沒有辦法達成我們剛才也剛才我也提到這個盧憲英委員跟本期共同的提案還有吳立華委員也都有提案針對這個原住民族的健康照顧應該要另外成立一個署所以在這個
transcript.whisperx[119].start 4505.842
transcript.whisperx[119].end 4531.289
transcript.whisperx[119].text 第七款裡面特別增加原住民健康照顧署來規劃以執行原住民主健康促進文化安全醫療照護原鄉醫療資源部件健康不平等改善等相關的這些包括相關的調查研究所以這個部分也請這個衛福部以及各位委員能夠支持以上好 接下來請吳宗憲委員
transcript.whisperx[120].start 4532.745
transcript.whisperx[120].end 4558.973
transcript.whisperx[120].text 好 謝謝主席我想法律的規定本來都是環環相扣不是說單一個法條所以我現在提的一個東西就是它可能還會牽涉到組織法但我盡快把它講完因為我剛看了一下我們第二條的規範我們現在在講第五條但第二條的規範裡面我發現就是有很多東西是羅列在各個單位的業務範圍下
transcript.whisperx[121].start 4562.93
transcript.whisperx[121].end 4579.558
transcript.whisperx[121].text 那所以說譬如說我們衛福部我們剛第二條有提到衛福部的那個事項有把它列舉成什麼兒少家庭長照等等的那我們今天講到第五條的時候第五條我們有一個第五款是新增兒少及家庭支持署
transcript.whisperx[122].start 4580.518
transcript.whisperx[122].end 4604.017
transcript.whisperx[122].text 但是我現在的一個問題就是說因為這個兒少的保護其實牽動了蠻廣甚至連包括到我們現在國安問題的少子化少子化可能都會跟這個兒少的支持都會有關聯性所以這等於我們是面對的是一個國家級的問題那我又看了一下有關兒少的保護在日本它是只屬於首相
transcript.whisperx[123].start 4610.16
transcript.whisperx[123].end 4620.125
transcript.whisperx[123].text 全名叫做兒童家庭廳兒童家庭廳只屬於首相韓國是由副總理兼任我的意見是這樣
transcript.whisperx[124].start 4626.808
transcript.whisperx[124].end 4647.243
transcript.whisperx[124].text 對於幼童的保護是必須跨部會我們少子化又是國安問題為什麼我們把這麼重要的一個業務是交給一個三級機關來處理這是我的第一個問題第二個問題是我看了一下我們第五條第五款有關的
transcript.whisperx[125].start 4649.989
transcript.whisperx[125].end 4674.489
transcript.whisperx[125].text 邵家屬我看他的那個組織法草案裡面的第二條他是寫本署長理某某某某業務這樣子所以這個文字上面看起來是比較偏向是承辦而不是他一元化的主責因為我看到因為你們的第二條就是本署長理什麼什麼業務這樣所以我的感覺我從我對法律文字的理解有一點類似是
transcript.whisperx[126].start 4675.47
transcript.whisperx[126].end 4703.682
transcript.whisperx[126].text 承辦機關它沒有說一個議員化的這種組織的概念然後另外就是這個兒少這個專屬的這個預算它有沒有一個獨立科目或者是這個成長目標因為我之前是社家屬那你只是掐了一點點業務進去然後換了一個名字換了一個名字之後其實它還是三級機關那還是叫做它只是改名叫做少家屬那其實
transcript.whisperx[127].start 4704.722
transcript.whisperx[127].end 4721.979
transcript.whisperx[127].text 好像也差不多沒有特別增加的權力尤其是我又看了一下署長是檢任13職等一個檢任13職等他其實在行政院裡面他的位階其實沒有算很高
transcript.whisperx[128].start 4723.681
transcript.whisperx[128].end 4741.989
transcript.whisperx[128].text 这时候如果说有一些譬如说他跟劳动部去谈论育婴假内政部谈论一些赦宅等等的政策他找劳动部长或找内政部长的时候对方会听他的因为我就说我自己公务员干了24年我们公务员对上就是写一个签证都要写职是什么什么名字这样
transcript.whisperx[129].start 4742.529
transcript.whisperx[129].end 4770.308
transcript.whisperx[129].text 古時候叫做卑職古時候我會自稱卑職那現在我們自稱職那當我一個十三職等的一個署長我要去跟部長級的人我們要談論這個跨部會的這個對於兒少的保護或者是我們要搶救少子化等等這一方面的牽連關係的議題的時候那我要怎麼去跟他談所以這也是我的一個覺得有一個問題譬如說我們之前那個凱凱案凱凱案其實我們後來從那個案子為什麼會重視那個案子因為我們發現那個案
transcript.whisperx[130].start 4772.649
transcript.whisperx[130].end 4788.554
transcript.whisperx[130].text 案子其實它跟戶政的一些失聯警政 衛政等等的都有後來我們發現都有牽連性因為橫向有一些聯繫上有一些問題只有這邊漏一點那邊漏一點社會就會有一些
transcript.whisperx[131].start 4789.474
transcript.whisperx[131].end 4804.906
transcript.whisperx[131].text 一些悲剧会发生所以我刚刚看了一下我觉得基本上你这个第5条我们现在审查的第5条其实跟组织法也有关联性所以我这边就因为有关联性所以我再提一个就是说那我们是不是说
transcript.whisperx[132].start 4806.107
transcript.whisperx[132].end 4827.898
transcript.whisperx[132].text 我一個建議 就跟這個衛福部長官建議就是這個兒家屬的署長他可不可以兼任就是行政院譬如說我這個建議就是行政院社會福利推動委員會的執行長或副召集人等等的這樣讓他層級拉高我們能夠保護好小孩子因為這個絕對是跨部會 跨部門
transcript.whisperx[133].start 4829.039
transcript.whisperx[133].end 4850.933
transcript.whisperx[133].text 沒有辦法由一個三級機關來辦理你我都當過很久的公務員我們很了解層級不高你要去跟上面談是有限職上面的困難好 謝謝這些意見其實在詢答裡面大家都問過了那我們今天就每一個版本都長得不一樣重點在這個地方所以我們這一條我們先暫保留
transcript.whisperx[134].start 4857.338
transcript.whisperx[134].end 4877.736
transcript.whisperx[134].text 接下來我們來看第8條第8條我們是不是也請石崇良部長來做說明主席 謝謝主席那麼有關第8條行政院提案是明訂這個本次修正後的條文那麼由這個在
transcript.whisperx[135].start 4880.758
transcript.whisperx[135].end 4906.083
transcript.whisperx[135].text 107年的6月13日那麼修正公佈條文來實施這個是明訂修正修正條文的實施日期 以上這樣啦 第八條 這一條就長得反而比較一樣了啦就只有林月琴而已 你就跟人家比較不一樣啦
transcript.whisperx[136].start 4907.481
transcript.whisperx[136].end 4921.063
transcript.whisperx[136].text 是不是我們這一條我們就按照行政院的版本在場委員們有沒有什麼意見現在跟林耀清委員你有意見嗎你再表達一下好不好
transcript.whisperx[137].start 4923.356
transcript.whisperx[137].end 4943.706
transcript.whisperx[137].text 版本差距過大的我全部給你保留啦都先暫保留啦像這個就只有你跟行政院沒講而已其他委員也沒有什麼特別的意見是不是我們就按照衛福部好那我們第8條在場委員都沒有特別的意見我們就按照衛福部的議案來做來通過再來
transcript.whisperx[138].start 5034.118
transcript.whisperx[138].end 5036.521
transcript.whisperx[138].text 這一條是不是請法治宇宣表示一下意見你們那個每一個版本都差異都很大你們也要把關一下
transcript.whisperx[139].start 5055.953
transcript.whisperx[139].end 5072.661
transcript.whisperx[139].text 第八條法治局這邊報告主席各位委員好那第八條呢主要就是說這一次修正的條文要用行政院議定之還是要不要公佈日資洗那因為這個會
transcript.whisperx[140].start 5074.142
transcript.whisperx[140].end 5099.259
transcript.whisperx[140].text 涉及到整個組織法一整套條文所以這個部分我們不太確定行政院需要多少時間所以這個部分就是看委員要不要定一個施行日期還是尊重行政院的一個組織改造的進程去做
transcript.whisperx[141].start 5110.273
transcript.whisperx[141].end 5128.005
transcript.whisperx[141].text 因為這涉及到立法體力,所以要請法治局表達一下意見,不然內容部分倒還好其他版本長得都一樣,所以我特別要來問一下可能你那群都不一樣
transcript.whisperx[142].start 5133.394
transcript.whisperx[142].end 5154.295
transcript.whisperx[142].text 我記得之前好像司法法治委員會這邊有做過決定要用我們三讀日期作為一個就是修正條文的那個體力那因為這個部分我們是想說因為好像這個部分不是好啦那這連第八條我都暫保留了好不好來
transcript.whisperx[143].start 5161.109
transcript.whisperx[143].end 5180.506
transcript.whisperx[143].text 那附帶決議呢來另有委員提出附帶決議現在來處理委員針對第一案所提的附帶決議有三案請一併宣讀宣讀以後再來逐案進行處理請宣讀討論事項第一案是附帶決議附帶決議一
transcript.whisperx[144].start 5184.636
transcript.whisperx[144].end 5213.599
transcript.whisperx[144].text 建請衛生福利部針對兒少及家庭成員之心理健康促進於六個月內邀集精神醫學心理學領域之專家學者與第一線工作人員進行現況調查分析具有資源盤點政策檢討並具體提出具體改善方案提案人陳北宇等人附帶決議二為促進重症而照顧資源之改善與整合原建請衛福部邀集
transcript.whisperx[145].start 5214.6
transcript.whisperx[145].end 5236.434
transcript.whisperx[145].text 相關部會專家學者針對以下事項進行研議並於六個月內提出規劃報告一盤點於整合各項資源包含即興醫療復健早療長期照顧寒喘息身障社會福利教育等建立以重症而為中心之照顧體系二
transcript.whisperx[146].start 5237.697
transcript.whisperx[146].end 5261.003
transcript.whisperx[146].text 成立重症儿整合咨询中心作为单一窗口供家长洽询三 确立重症儿之名词定义并就此定义进行我国重症儿数据统计与分析四 针对居家医疗照顾整合计划演绎增订适合重症儿的收案条件服务与相关给付之可行性
transcript.whisperx[147].start 5261.94
transcript.whisperx[147].end 5276.038
transcript.whisperx[147].text 五 針對長期照顧服務3.0嚴厲促使照顧服務更加切合重症家庭需求之做法六 參佐日本醫療照顧及家庭支援法
transcript.whisperx[148].start 5276.759
transcript.whisperx[148].end 5296.985
transcript.whisperx[148].text 嚴厲我國相關法制改善與規劃 七針對中正兒之就學照顧 盤領過往各類案例和需求嚴厲制度性機制法規修訂或建立之方向並就中正兒義務教育後之安置與照顧提出制度性因應規劃提案人陳培宇等人附帶決議三
transcript.whisperx[149].start 5299.506
transcript.whisperx[149].end 5323.141
transcript.whisperx[149].text 為改善第一線照顧管理專員之勞動權益原件請衛生福利部針對以下事項進行研議並於三個月內提出規劃報告一 充實人力減少每人平均負擔案量二 設置每人案量超過200案之獎勵機制三 檢討具有績效指標四 減少行政文書作業之負擔提案人陳培宇等人 宣讀完畢
transcript.whisperx[150].start 5326.372
transcript.whisperx[150].end 5341.116
transcript.whisperx[150].text 請問機關對於附帶決議有沒有什麼意見或說明不遵照辦理沒有問題第一案我們就照案通過第二案請問機關有沒有特別意見或要說明沒有問題遵照辦理
transcript.whisperx[151].start 5353.07
transcript.whisperx[151].end 5364.422
transcript.whisperx[151].text 那我們就照案通過那第三案請問衛福部請問機關這邊有沒有說明或什麼不同意見遵照辦理那我們就照案通過
transcript.whisperx[152].start 5384.028
transcript.whisperx[152].end 5402.9
transcript.whisperx[152].text 我們現在附帶決議已經處理完了那我們剛剛是在第二 第五 第八我們是暫保留然後現在再回來剛才衛福部要提出修正意見那在場的委員我看意見也沒那麼多沒那麼多跟拉鋸因為每一個版本都長得不同這樣我就
transcript.whisperx[153].start 5414.14
transcript.whisperx[153].end 5422.098
transcript.whisperx[153].text 來 先休息三分鐘啦 好不好來看看你們有沒有先溝通一下啦你們的條文就都 大家的意見都不一樣的這條文是要怎麼過
transcript.whisperx[154].start 6101.69
transcript.whisperx[154].end 6102.671
transcript.whisperx[154].text 我們繼續開會了好 主席宣布開會了 各位委員請就座
transcript.whisperx[155].start 6138.564
transcript.whisperx[155].end 6155.449
transcript.whisperx[155].text 那我們現在就宣告了衛生福利部組織法第二條第五條第八條這個版本剛也溝通了但是意見還是有很大的差距的那我們是不是先要保留嗎
transcript.whisperx[156].start 6171.124
transcript.whisperx[156].end 6178.751
transcript.whisperx[156].text 還是你要繼續說所以我要問你的意見我剛講的是先暫保留要做最後的確認那我們第二條就先保留第五條也保留第八條
transcript.whisperx[157].start 6199.059
transcript.whisperx[157].end 6202.342
transcript.whisperx[157].text 第八條也是保留本案逐條都已處理完畢來做以下的宣告本案審查完略拟據審查報告提請院會來公決本案是不是要交由黨團協商
transcript.whisperx[158].start 6223.659
transcript.whisperx[158].end 6243.933
transcript.whisperx[158].text 要本案就交由黨團來協商那院會討論時就由莊召委員瑞雄來出席做說明附帶決議三項一併提報院會處理那條次跟引述條文部分文字跟法制用字授權主席跟議事人員來整理
transcript.whisperx[159].start 6246.311
transcript.whisperx[159].end 6268.079
transcript.whisperx[159].text 那現在我們來進行討論事項第二案 病案審查行政院函請審議衛生福利部兒少及家庭支持組織法的草案等14案那請問在場委員是不是要進行大體討論或直接來逐條那就直接來進入逐條那我們先宣讀好不好
transcript.whisperx[160].start 6275.36
transcript.whisperx[160].end 6298.548
transcript.whisperx[160].text 繼續宣讀修正動議部分討論事項第二案修正動議三第三條修正為本署自署長一人職務列檢任第十三職等副署長兩人職務列檢任第十二職等提案人翁曉琳等人討論事項第三案修正動議四
transcript.whisperx[161].start 6300.1
transcript.whisperx[161].end 6310.407
transcript.whisperx[161].text 第三條修正為本署自署長一人職務列檢任第十三職等副署長兩人職務列檢任第十二職等提案人翁曉琳等人 選讀完畢
transcript.whisperx[162].start 6317.921
transcript.whisperx[162].end 6330.846
transcript.whisperx[162].text 那是不是現在我們請因為行政那個衛福部他也有提出修正這一條就差距就比較小了啦那其他的提案委員要不要做說明這條感不覺得矮這條一個一個來好了 一個一個來這樣不然我們就為
transcript.whisperx[163].start 6354.793
transcript.whisperx[163].end 6365.798
transcript.whisperx[163].text 那我們現在繼續進行逐條本案系制定案一共要處理名稱六條名稱的部分是不是各位委員的提案名稱都相同是不是我們就按照行政院的提案通過
transcript.whisperx[164].start 6382.95
transcript.whisperx[164].end 6411.439
transcript.whisperx[164].text 那第一條各提案的條文內容其實都相同那我們是不是也行政院 行政院加來 衛福部你們現在有微調其實才兩個字而已 說明一下好 跟主席跟各位委員報告因為原本的行政院的條文還有多數委員的條文裡面那麼都是寫辦理兒童 頓好 少年 健康
transcript.whisperx[165].start 6412.519
transcript.whisperx[165].end 6441.31
transcript.whisperx[165].text 頓耗福利與權益及家庭支持之業務因為這個在讀起來不是因為頓來頓去還有後面又有及所以我們建議是說以下遇到兒童頓耗少年的時候都採用我們的正式法規名稱就是這個兒童及少年權益這個保障法的這個正式名稱都稱為兒童及少年
transcript.whisperx[166].start 6441.63
transcript.whisperx[166].end 6465.725
transcript.whisperx[166].text 所以以下是不是兒童頓耗少年的部分呢都一併以兒童及少年那麼來他就是連在一起的然後再談他的健康福利與權益所以以下都是兒童及少年健康福利與權益那另外一個是家庭支持所以以上就文字的修正再請委員支持
transcript.whisperx[167].start 6466.892
transcript.whisperx[167].end 6478.11
transcript.whisperx[167].text 好 謝謝 那這個條文內容其實一樣啦那只是小小的兩個字這樣的一個寫正我們是不是就按照衛福部來 王玉明委員
transcript.whisperx[168].start 6480.034
transcript.whisperx[168].end 6504.279
transcript.whisperx[168].text 這個條文衛福部應該說明一下其實跟各位的版本是有不一樣的地方我先講我自己的部分我自己的部分我包括有增加的這個兒童少年保護安置照顧政策自立支持服務之規劃然後我在這個第四款的部分有包含生育
transcript.whisperx[169].start 6504.679
transcript.whisperx[169].end 6506.32
transcript.whisperx[169].text 第一條我們按照行政院的提案通過修正通過
transcript.whisperx[170].start 6520.996
transcript.whisperx[170].end 6525.118
transcript.whisperx[170].text 那現在第二條就有不一樣了那現在是不是請來先請張雅玲委員來做
transcript.whisperx[171].start 6542.657
transcript.whisperx[171].end 6567.89
transcript.whisperx[171].text 好那我的部分呢基本上因為我想這個版本跟那個衛福部比較差異比較大就是說我在第二款的部分呢我甄列了這個性剝削防治性侵害防治這個地方是因為這個部分我覺得是可以來討論我沒有堅持因為最主要是因為這個地方是兒家屬所以是在考量說是不是要把它都併在這個地方一起來處理那第五項的部分呢
transcript.whisperx[172].start 6570.174
transcript.whisperx[172].end 6576.727
transcript.whisperx[172].text 第七第七的部分我甄列了一個叫做兒童少年休憩遊戲及休閒發展政策之規劃推動與執行
transcript.whisperx[173].start 6579.266
transcript.whisperx[173].end 6604.105
transcript.whisperx[173].text 就是說我們過去其實在這個兒少遊戲的部分啊 休憩的部分其實相對來說是比較缺乏的所以我希望在現在這個兒家屬的執掌裡面呢可以把這件事情納入因為過去在社家屬它其實是一個比較沒有被重視可是因為在去年的 前年的這個聯合國其實也把這個地方特別的去強化了那希望我們在法案的部分也可以來去強化這個部分
transcript.whisperx[174].start 6604.585
transcript.whisperx[174].end 6628.243
transcript.whisperx[174].text 那在第十二的部分呢是兒童少年偏差行為輔導去規劃整合統籌及跨機關的政策協調那最主要是我們現在的少事法就是說它可能是感化教育判了三年之後那三年之後呢它可能就會回到這個設政的領域那只是說因為團體的擔心是說我們現在如果沒有把它寫進去的話未來的執行上面怕會忽略掉這個部分
transcript.whisperx[175].start 6628.703
transcript.whisperx[175].end 6652.824
transcript.whisperx[175].text 那在第13個部分呢最主要是因為這個我們是強化了兒少之隱私權保護個人資料保護網路安全及數位環境風險防治及相關政策之規劃整合與推動那最主要是說因為現在兒少常常遇到的問題呢不管他們的社交的環境呢其實都發生在網路他們大量的使用網路可是我們現在卻並沒有把這件事情放進去
transcript.whisperx[176].start 6654.205
transcript.whisperx[176].end 6670.234
transcript.whisperx[176].text 那其實是有點忽略了現實的狀態所以那再加上這個部分呢其實也非常仰賴這個橫跨各部會的一個協調所以希望在這個第13條關於兒少女士權網路安全的部分呢也要把它納入在現在的這個執掌裡面謝謝好 那個林慧琴委員就修正動議了來 前林委員再來王玉敏委員
transcript.whisperx[177].start 6679.63
transcript.whisperx[177].end 6695.439
transcript.whisperx[177].text 我這邊修正動議這邊大家提醒因為第一個首先我覺得兒家屬的一個組織長理事項我可以看到業務單位都有就相關的政策規劃推動跟執行都有名列很好可是
transcript.whisperx[178].start 6696.679
transcript.whisperx[178].end 6715.448
transcript.whisperx[178].text 實際執行的第一線社工常常跟我說針對兒少族群我們雖然都有很多服務方案可以介入可是通常都會受制於家長不願意配合也就是在實務上經常可以看到當父母或主要照顧者或法定代理人沒有辦法進到教養職責的時候兒少就出了狀況但第一線的服務卻
transcript.whisperx[179].start 6716.748
transcript.whisperx[179].end 6731.116
transcript.whisperx[179].text 往往很難以深入或具體處理所以原因之一就是我們自己在第一線介入的時候欠缺執行的一個正當性也就是你對政策方案執行的事前的完整評估跟調查事實上是沒有的
transcript.whisperx[180].start 6731.596
transcript.whisperx[180].end 6753.522
transcript.whisperx[180].text 所以因此我建議在所有法條當中不管事實上是第一款、第二款、第三款甚至第四款我們都認為應該要加評估兩個字也就是完善的評估調查絕對才能讓第一線服務的供給帶來幫助也更能符合兒少跟家庭的實際需求
transcript.whisperx[181].start 6754.242
transcript.whisperx[181].end 6782.861
transcript.whisperx[181].text 那第二款呢我事實上是增加了一個智力支持因為你從前面保護到安置到智力支持才是完整性的那目前這個你就只寫到安置的話就漏掉一塊因為整個兒少服務的一個核心精神本來就是涵蓋成年後的銜接的配套以及機構處於後的智力支持也就是說除了保護跟福利服務跟權益保障以外我們也應該同步強化兒少作為
transcript.whisperx[182].start 6783.641
transcript.whisperx[182].end 6805.532
transcript.whisperx[182].text 全力主體的致力支持的協助所以我建議在第二款加入這些文字那第三款我建議就是要刪除兒童頓耗及少年為什麼因為這邊我想問業務單位的是推服務政策推服務支援政策適用的對象應該是兒童和少年是不同的
transcript.whisperx[183].start 6806.252
transcript.whisperx[183].end 6822.844
transcript.whisperx[183].text 那主要事實上是針對0到6歲的幼兒當你兒童要放進去勉強可是少年根本跟托育服務的關聯性比較低一點所以是不是可以不要勉強一定每一項每一款都要加上兒童頓豪少年或兒童級少年所以我認為
transcript.whisperx[184].start 6823.744
transcript.whisperx[184].end 6847.84
transcript.whisperx[184].text 這一個應該是要把它拿掉就直接家庭托育服務就好不用前面再加兒童及少年所以等下也請業務單位說明一下為什麼要加這幾個字那第五款呢我覺得要增訂兒權公約的督導及影響評估過去兒權公約真的事實上是在我不知道在中規還是兒少組在做可是我覺得應該要單獨有
transcript.whisperx[185].start 6849.981
transcript.whisperx[185].end 6873.496
transcript.whisperx[185].text 能力去做推動所以今天適逢CRC的第三次國家報告審查的話我肯認這是主改那衛福部當然有具體明確的把兒權公約的推動協調聯繫工作都納入法條可是我這邊還是要建議要增新增督導及影響評估因為我們很多東西基本上都沒有在做影響評估像上次在講人工生殖法的時候我們也很希望知道那影響評估是什麼
transcript.whisperx[186].start 6874.716
transcript.whisperx[186].end 6898.704
transcript.whisperx[186].text 兒權的影響評估是什麼所以要新增督導影響評估這文字一方面依據公約跟一般性意見書的建議政府有義務辦理兒權公約的影響評估另外一方面其實社家署一直都有把包含督導及影響評估納入到禮辦理可是沒有理由不放進去在文字裡頭讓他更清楚放進去大家就更能彰顯政府的決心跟立場所以我認為這並不會造成額外的
transcript.whisperx[187].start 6901.326
transcript.whisperx[187].end 6927.688
transcript.whisperx[187].text 那第六款呢 我這邊要增訂事故傷害防治頓耗跟身心健康為什麼要增加自殺跟事故傷害一直以來都是兒少死亡的主因的第一位 第二位那依照現行的組織業務分工狀況的話相關的健康促進跟防治跟數據監測的業務分散在新建師跟國民健康署跟健保署來做主責
transcript.whisperx[188].start 6928.428
transcript.whisperx[188].end 6948.293
transcript.whisperx[188].text 所以我建議在這邊還是要明文列出來尤其是事故傷害一直以來他是造成孩子死亡原因第一高位為什麼一直上常常是被忽略所以我認為在文字上寫清楚會是比較好那再來就是上禮拜大我也在質詢的時候部長也提到事故傷害防治的業務
transcript.whisperx[189].start 6949.153
transcript.whisperx[189].end 6971.017
transcript.whisperx[189].text 有要移到新社的兒家屬所以我就文字上列也沒有什麼太大問題當然沒有錯前幾天我也問過新建師看起來目前兒少身心健康促進的業務都已播過來了所以我也建議在這邊加上身心兩字那再來就是增訂第七款將兒少發展權跟公共事務參與權這些相關的政策跟
transcript.whisperx[190].start 6971.477
transcript.whisperx[190].end 6984.521
transcript.whisperx[190].text 法規嚴定明文入法為什麼要講發展本來我們就過去一直很忽略的如果從兒童福利角度上來看你是產補式的還是發展式的所以我覺得我們已經產補式的應該更漸往前瞻性發展的話應該把發展這兩個字放進去
transcript.whisperx[191].start 6993.064
transcript.whisperx[191].end 7013.187
transcript.whisperx[191].text 而且今年就要提出第三次的国家报告所以我认为在儿少发展参与表役的机制上我们还是落后太多尤其是你看去年在台中市儿少代表集体遭台中市政府取消资格的争议所以表示我们缺乏明确的制度化的设计让一些地方政府可以找漏洞钻
transcript.whisperx[192].start 7013.627
transcript.whisperx[192].end 7033.914
transcript.whisperx[192].text 直接干涉兒少參與所以我建議要把新社專責機關的話業務內容當然不可以把這部分漏掉而且這也是民間團體的共識也符合兒少的最佳利益的宗旨那原本的第八款跟第十款呢我是合併都講的是同樣一個是機構而且加上你的家庭
transcript.whisperx[193].start 7034.674
transcript.whisperx[193].end 7051.537
transcript.whisperx[193].text 支持的服務事項和兒少福利機構那我真的就要問喔有一直以來我一直很好奇的是現在地方普設的親子館在法律定位上他到底是不是兒少福利機構還是你的兒少福利機構支持藻寮跟我們的
transcript.whisperx[194].start 7053.015
transcript.whisperx[194].end 7077.662
transcript.whisperx[194].text 安置機構可是那這一部分到底有誰在管理甚至設置標準是什麼所以等下請業務單位說明因為我這樣合併的話表示家庭支持的一些單位也都進來如果親子館是屬於家庭支持的一個單位的話那當然就比較可以確認那修正動議我的加上第十款增訂我覺得跨機關的協調跟整合這次主改大家都很熱見
transcript.whisperx[195].start 7078.642
transcript.whisperx[195].end 7103.503
transcript.whisperx[195].text 政府願意看見兒少政策推動的困境然後來成立專責機構來組織可是民間單位同樣的關心因為本來希望成為部可是現在變成是署的話那整個跨機關的協調整合的問題會不會在這次獲得改善那倒不如在文字裡邊就把它列進去最後就是我徵訂第十一款也就是隱私權的保障跟網路安全跟風險
transcript.whisperx[196].start 7105.444
transcript.whisperx[196].end 7128.98
transcript.whisperx[196].text 防治政策跟法規的研定因為這幾年數位環境的安全跟隱私保障的這些層面兒少族群事實上是首當其衝的一個對象所以很多研究也指出造成兒少身心傷害的很大的問題是來自網路使用所以我們認為網路使用這一塊應該要放在這邊然後不僅過去事實上欠缺主管機關
transcript.whisperx[197].start 7129.921
transcript.whisperx[197].end 7146.869
transcript.whisperx[197].text 相關的法治政策也始終缺席所以我覺得讓兒少暴露在高風險的環境當中所以我認為應該把數位網路使用的安全跟隱私保障權益包含身心健康的在內的自殺議題都未來納入在我們的兒家屬的一個業務範疇之中以上 謝謝
transcript.whisperx[198].start 7152.035
transcript.whisperx[198].end 7177.928
transcript.whisperx[198].text 口袋都很好來 接下來王玉明委員發言以後吳思堯委員 再來陳培宇委員很快啦 因為喔你們這條文今天都沒有共識啦這個都沒有共識啦我盡量讓大家發表因為今天聯席啊我也知道衛緩那個地方你們自己也有質詢啦所以都不用擔心 好不好我在主持 你們不用擔心但是大家 把你們撩到會瓦嘛像剛剛你衛福部說要秀那個那個就不放了
transcript.whisperx[199].start 7178.488
transcript.whisperx[199].end 7191.602
transcript.whisperx[199].text 我們審法案的那種要件啊你秀出來沒有用啊你們也沒有案啊就你有案他有共識也要委員提出版本他有辦法審啊來 王一鳴委員好 謝謝莊委這個我也覺得第二條的部分應該是要予以保留到目前為止政院的版本跟委員提出來的版本有蠻多有差異的地方
transcript.whisperx[200].start 7201.392
transcript.whisperx[200].end 7221.353
transcript.whisperx[200].text 那這個委員各自有不同的角度我覺得因為這次兒家屬的一個成立民間團體都抱有非常大的一個期望就希望它功能是要完整的覆蓋是要完整的所以我這邊的版本跟這個行政院還是有很大的差異那我剛剛前面已經有講過第二款要增加
transcript.whisperx[201].start 7222.174
transcript.whisperx[201].end 7236.299
transcript.whisperx[201].text 自立支持服務的規劃第四款的部分因為部長曾經說從胚胎開始我們就要開始照顧所以第四款的部分我增加的是有生育孕產婦照護政策的規劃這個應該
transcript.whisperx[202].start 7238.86
transcript.whisperx[202].end 7260.078
transcript.whisperx[202].text 既然是儿家属应该要把健康的部分还有孕产妇这个是前端这个也是部长讲的从胚胎就开始照护应该要把它整合进来所以在第四款的部分增加生育跟孕产妇照护的部分在第七款的部分增加了有关于儿童少女医疗的部分
transcript.whisperx[203].start 7261.059
transcript.whisperx[203].end 7289.208
transcript.whisperx[203].text 死亡回顾事故伤害预防政策推动及执行那这一块也是我们现在说要降低我们的这一个死亡率那孩子的健康其实跟医疗的部分也是息息相关那所以应该要把医疗的部分也放进来死亡回顾事故伤害预防这一个这个如何降低我们的死亡率我想这个也是重中之重但是在正院的版本里面文字都没有提到
transcript.whisperx[204].start 7289.668
transcript.whisperx[204].end 7318.788
transcript.whisperx[204].text 我希望第七款的部分呢这个部分应该要增加第八款的部分呢就是针对处罚跟曝险的儿童还有少年处育服务政策的规划推动及执行这个部分是现在其实卫福部做的很弱的一环就是也被往往被忽略的一环那所以这一块呢我认为既然要主改重新调整那这一块呢也应该予以相对应的这个重视
transcript.whisperx[205].start 7319.808
transcript.whisperx[205].end 7340.58
transcript.whisperx[205].text 那最後是第九款的部分呢我增加對於福利機構業務的監督輔導及考核這些相關單位這個可能也是我們衛福部這邊未來兒家屬應該要擔負起來的所以包括前面我們在審衛福部組織法的時候我有一個附帶決議是關於這個整個兒家屬的出入規程的規劃各單位職長的分工
transcript.whisperx[206].start 7346.883
transcript.whisperx[206].end 7368.095
transcript.whisperx[206].text 那這個其實是連動的當我們這邊在講兒家屬的職長其實也呼應了未來他的各單位的這個編制跟職長所以我認為有關於這一條我希望是保留就是衛福部應該要廣聽更多的意見跟聲音把你的功能建構得更完整以上謝謝
transcript.whisperx[207].start 7368.715
transcript.whisperx[207].end 7389.125
transcript.whisperx[207].text 好 謝謝王一鳴委員 王一鳴委員 你的條文跟人家寫的不一樣林烈群委員也跟人家長得不一樣 還有張雅玲你看還有 你看陳培宇委員 我看你們那個條文剛才仔細的看 他這也不一樣 但大家都有增加啦那劉建國委員 他又增加了一個兒少遭受霸凌 歧視其他親愛跟身經發展的預防防治這除了你們的條文 有了八門啦
transcript.whisperx[208].start 7394.187
transcript.whisperx[208].end 7418.596
transcript.whisperx[208].text 很充實啦但是就是沒溝通啦來接下來吳思瑤委員謝謝主席第一次發言因為能夠有這個機會來成立這個關心兒少的一個新的組織這個署大家當然都很關切非常佩服很多關心的委員提出非常多面向也都向衛福部未來成立的這個新的署許了很多願
transcript.whisperx[209].start 7419.976
transcript.whisperx[209].end 7430.641
transcript.whisperx[209].text 我是從法制作業的角度來看大家可以去看看衛生福利部的組織法衛福部這個大部的組織法就是12項
transcript.whisperx[210].start 7432.202
transcript.whisperx[210].end 7460.043
transcript.whisperx[210].text 他盡可能把方方面面把他精煉在該來勢的內容裡頭去處理他那因為剛剛委員提的確實在兒少萬事他的身體健康心理健康他的權益他的托育他的各項支持系統都非常的繁複可是當你要在一個條文裡頭包山包海的怎麼寫就會掛一漏萬
transcript.whisperx[211].start 7461.365
transcript.whisperx[211].end 7486.666
transcript.whisperx[211].text 但是委員們所提出來的很多面向確實是原本你們比較輕忽的譬如說兒少的隱私數位環境這些新興社會裡頭新興的議題是應當含括進來的所以這個條文越加越多那每一項都很重要但我是建議衛福部要花一點時間把委員們所提的建議
transcript.whisperx[212].start 7487.947
transcript.whisperx[212].end 7512.538
transcript.whisperx[212].text 因为这个不要组织肥大到写太多就等于都没写你知道吗而且其实儿少很多东西你会跟内政部相关你会跟警政相关你会跟教育部相关你会跟NCC抒发部都相关我有时候会担心我反而刚看委员加进来的东西我会担心当在卫福部的儿家属里头写的越细的时候
transcript.whisperx[213].start 7513.798
transcript.whisperx[213].end 7537.774
transcript.whisperx[213].text 就会让其他部门他本来也承担了相关的责任他最后都会说这是卫福部的事情因为里面是在你们家可是卫福部的专业在卫生医疗在权益事项的保障卫福部没有办法去做到太多的譬如说数位治理的工作或者是儿少犯罪的侦防的工作
transcript.whisperx[214].start 7538.757
transcript.whisperx[214].end 7564.817
transcript.whisperx[214].text 所以说我是真的我的观点是说有些事情不要落在母法里头你可以在你的条文说明栏里头去补强它那也真的大家要充分的考量到我是提供一个不同面向的考虑如果都写得太巨细靡遗我真的担心其他部会负有相关的政策责任的他反而都撇给卫福部
transcript.whisperx[215].start 7565.683
transcript.whisperx[215].end 7580.545
transcript.whisperx[215].text 所以请卫福部在第二条这个保留是必须的可是在思考的部分包山包海巨系迷移的写法可能会不会有其他执行面跟部会协调的汉格
transcript.whisperx[216].start 7581.892
transcript.whisperx[216].end 7600.843
transcript.whisperx[216].text 那當然有一個比較好的方式剛剛月琴委員有提她在其中的一項第十項第十款增加了一個相關工作的跨部會協調也許這樣子的一個機制就是一個處理的方式所以我要關鍵給大家參考不然你太多包山包海到最後
transcript.whisperx[217].start 7603.043
transcript.whisperx[217].end 7615.798
transcript.whisperx[217].text 就反而是執行上的困擾真的要想想其他部會以後全部都一股腦兒推到兒家屬因為入法這兒家屬的事情這個提供不同面向的思考給大家
transcript.whisperx[218].start 7620.529
transcript.whisperx[218].end 7644.94
transcript.whisperx[218].text 還有人要說嗎 意見差太多了劉建國委員 趙委員你剛的我特別把你的條文把你唸出來了所以就不用再講了這條要補理由了陳培委員要再說嗎好 我就贊成主席保留因為我也擔心跨部會的討論如果其實還沒有完成包山包海真的蠻可怕雖然大家都有各自關心跟擔心的議題我也贊成保留主席的提議這樣
transcript.whisperx[219].start 7646.777
transcript.whisperx[219].end 7649.862
transcript.whisperx[219].text 好啦 這樣第二條我們就先保留
transcript.whisperx[220].start 7653.462
transcript.whisperx[220].end 7679.004
transcript.whisperx[220].text 那第三條第三條我看行政院還有林業勤委員 羅廷維委員 陳柏宇委員 郭益勤委員王玉銘委員 李崑禎委員 王正旭委員 張雅玲委員 王鴻慧委員徐曉欣委員 李燕秀委員 廖偉祥委員 劉建國委員還有黃國昌委員 還有翁曉琳委員 我都做這兩三個幾案
transcript.whisperx[221].start 7680.385
transcript.whisperx[221].end 7685.987
transcript.whisperx[221].text 我們這樣子好了啦 這個提案的條文 其實內容這個第三條都一樣啦你修正綜藝這樣沒有嗎 來 拍出來是不是請翁曉琳委員來做提案的說明
transcript.whisperx[222].start 7705.851
transcript.whisperx[222].end 7710.032
transcript.whisperx[222].text 好 我這邊簡單說本席在這裡提出第三條的修正動議主要的考量是認為說其實兒少署的署長應該還是才以常任文官為主會比較好那麼畢竟在我們現在行政院所屬的三級機關裡面大多數的署級的機關首長都是以常務職為主
transcript.whisperx[223].start 7730.757
transcript.whisperx[223].end 7758.257
transcript.whisperx[223].text 那麼只有少數的署長可能是以政務人員禁用或者是政務及常務職的這種雙軌制所以因為在現在衛福部底下它本身也有很優秀的社福方面的事務官所以我在這邊跟民眾黨的提案基本上它的內容是
transcript.whisperx[224].start 7759.218
transcript.whisperx[224].end 7774.323
transcript.whisperx[224].text 一致的就是建議本署的署長是直接職務列檢認13職等也就是不是採取比照檢認13職等那未來這個署長就是以事務官為主這以上的報告
transcript.whisperx[225].start 7775.376
transcript.whisperx[225].end 7781.902
transcript.whisperx[225].text 好 謝謝翁曉琳委員的說明你們這些都不夠氣魄了那我會印領印領後代表大家都有機會拚這款其實讓各有不同的面向你們怕說人家又落人過了其實政務跟常務其實都會有它的道理來 接下來程昭之委員
transcript.whisperx[226].start 7799.309
transcript.whisperx[226].end 7828.436
transcript.whisperx[226].text 工小林委員也提出來跟我們民眾黨的黨團提出的一樣的見解我們主張不是比照就是接讓這個署長他就是職務就是檢任第三職等就是我們還是主張雖然剛剛主席分析各有好處但是我們覺得從文官系統事務官來擔任這個職位是更理想的更有機會保持一個中立專業的這樣子一個角色而不是隨便譬如我也不會不能叫我去當
transcript.whisperx[227].start 7829.016
transcript.whisperx[227].end 7829.596
transcript.whisperx[227].text 這條機關有沒有特別要做說明
transcript.whisperx[228].start 7851.311
transcript.whisperx[228].end 7852.772
transcript.whisperx[228].text 主席跟各位委員當然我們是希望是能夠擴大那個
transcript.whisperx[229].start 7868.462
transcript.whisperx[229].end 7883.719
transcript.whisperx[229].text 取材因為這個業務跨足了社會福利跟健康醫療所以我們是希望讓它多一點點彈性比照健保署的
transcript.whisperx[230].start 7885.581
transcript.whisperx[230].end 7908.042
transcript.whisperx[230].text 組織法讓這個署長這邊是可以用比照檢認13指等來取材那麼增加用人的彈性所以我們是建議是否可以委員支持按照行政院的提案來通過機關說明很有道理但是修正東西出來就是沒公式保留
transcript.whisperx[231].start 7914.271
transcript.whisperx[231].end 7942.145
transcript.whisperx[231].text 來第四條第四條各提案的條文內容其實長得一模一樣那我們是不是就按照行政院的提案通過好那第五條第五條各提案的條文也都內容均相同第五條我們就按照行政院的提案通過
transcript.whisperx[232].start 7944.025
transcript.whisperx[232].end 7970.607
transcript.whisperx[232].text 第六條第六條就除了委員羅廷偉 廖偉祥等提案以外其餘的各提案內容都相同那羅委員也在場那是不是有不同的看法還是要按照行政院的版本 請說明好 謝謝召委尊重院版的那就以院版為主
transcript.whisperx[233].start 7974.927
transcript.whisperx[233].end 7979.511
transcript.whisperx[233].text 那我們第六條就按照行政院的提案通過那我們現在處理附帶決議應有委員提出的附帶決議現在處理針對第二案所提附帶決議一共八案請一併宣讀宣讀以後再來主案進行處理請宣讀
transcript.whisperx[234].start 8005.686
transcript.whisperx[234].end 8032.075
transcript.whisperx[234].text 宣讀討論事項第二案附帶決議共發案附帶決議一請衛福部於本法修正通過後調整保護安置主業務內容將住宿室照顧修正為自力支持服務並新增社區生活相關業務以完整涵蓋兒少自力發展與回歸社會之服務需求提案人林月琴等人附帶決議二
transcript.whisperx[235].start 8033.53
transcript.whisperx[235].end 8051.497
transcript.whisperx[235].text 警衛服部於本法第二條通過後與相關業務分工及處務規程之規劃應明確將托育服務獨立涉足以應應未來實務之需求實務之所需提案人林月琴等人
transcript.whisperx[236].start 8053.049
transcript.whisperx[236].end 8075.595
transcript.whisperx[236].text 附帶決議三請衛福部於本法第二條通過後參考醫事司及教育部國教署現行做法針對相關人力資源之運用違法事件之調查及管理以及托育服務之績效及品質監測提出具體明確之規劃以因應未來實務之所需提案者林月琴等人
transcript.whisperx[237].start 8077.875
transcript.whisperx[237].end 8105.428
transcript.whisperx[237].text 附帶決議四請衛福部於本法通過後針對保護安置組織距離規劃應建立積極制跨體系協調與政策回應機制與保護安置自力支持及社區生活各階段中確保兒少權益得以實施落實並提出具體執行措施以回應實務現場與兒少發展之實際需求提案人您願請等人
transcript.whisperx[238].start 8107.711
transcript.whisperx[238].end 8135.65
transcript.whisperx[238].text 附帶決議五為健全兒少及家庭支持署完善政策品質建請衛福部與衛生福利部兒少及家庭支持署組織法草案三讀通過後訂定兒少及家庭支持署初步規程應參照下表所列之內部單位分工與職長建立副表部分請參閱書面資料提案人王玉敏等人
transcript.whisperx[239].start 8138.254
transcript.whisperx[239].end 8162.719
transcript.whisperx[239].text 附帶決議六 為確保衛福部衛生福利部兒童及少年與家庭支持組未來成立後各項行政業務得以穩定推動並有效運作與研擬組織法組織規程及初步規程時機關內部組織分工制規劃應以下列原則為基準辦理一 機關內部至少應設置六個業務組
transcript.whisperx[240].start 8164.656
transcript.whisperx[240].end 8194.088
transcript.whisperx[240].text 二為了源而編制能實質支撐各項兒童及少年政策與業務之推動三該各組織可別設置原則上每組不得少於四科以確保人力配置充足以避免業務過度集中影響政策執行品質與專業深度提案人陳培宇張雅玲等人不在決議期
transcript.whisperx[241].start 8195.488
transcript.whisperx[241].end 8204.917
transcript.whisperx[241].text 為確保未來衛福部耳哨及家庭支持署成立後之行政效能與政策推動品質請主管機關嚴尼該組織處域規程時應納入下列標準一原額規模應參照國建署指標
transcript.whisperx[242].start 8214.33
transcript.whisperx[242].end 8227.797
transcript.whisperx[242].text 編制標準 二 應明確設置資訊專業源額三 應設置研究與政策專業源額四 請行政於三個月內向立法院報告執行情形
transcript.whisperx[243].start 8229.929
transcript.whisperx[243].end 8247.306
transcript.whisperx[243].text 行政院應與兒家屬人力規劃完成後三個月內向立法院提報原額配置職長分工專業人力比率及後續發展規劃一例國衛監督提案人陳培宇張雅玲等人布袋決議八
transcript.whisperx[244].start 8250.869
transcript.whisperx[244].end 8271.582
transcript.whisperx[244].text 請心理健康司於本法通過後兩個月內針對如何充實兒少身心健康促進及自傷自殺自傷防治政策之專業人力及如何精進相關政策之執行與推動提出書面報告說明提案人林月琴等人宣讀完畢
transcript.whisperx[245].start 8275.99
transcript.whisperx[245].end 8281.678
transcript.whisperx[245].text 我們附帶決議 訛紹第二條討論這項的第一案 請問提案委員有沒有補充說明針對附帶決議第一案 請問機關有其他意見
transcript.whisperx[246].start 8294.305
transcript.whisperx[246].end 8316.251
transcript.whisperx[246].text 有關林玉琴委員的附帶決議第一案我們建議文字稍微做一點點簡單的調整就是附帶決議的第三行開始就是將住宿室照顧那個將字我們拿掉就是住宿室照顧應包括修正為把它改成應包括
transcript.whisperx[247].start 8317.296
transcript.whisperx[247].end 8343.386
transcript.whisperx[247].text 自立支持服務及社區生活相關服務以下統就是我們讓住宿室照顧將來業務的範圍可以橫跨到整個過程跟流程然後但是不會取代掉原來住宿室裡面住宿的生活的一些服務我們把文字做一些調整 以上文字這個就要修正擬一下那委員再重新再簽好不好
transcript.whisperx[248].start 8346.521
transcript.whisperx[248].end 8369.16
transcript.whisperx[248].text 那兒少第二案我們現在往下啦你那個先簽書我們再來請送到主席台兒少第二案討論事項第二案附帶決議第二案請問提案委員沒有其他補充說明那機關有沒有其他意見或說明第二案
transcript.whisperx[249].start 8377.169
transcript.whisperx[249].end 8398.947
transcript.whisperx[249].text 報告委員第二案我們遵照辦理好那我們第二案就專案通過那兒少第二條討論事項第二案附帶決議三請問提案委員有沒有其他補充說明機關有沒有補充意見遵照辦理
transcript.whisperx[250].start 8399.471
transcript.whisperx[250].end 8416.727
transcript.whisperx[250].text 好 那我們第三案我們就 第二案 第三案第三案我們就照案通過那鵝哨第二條討論事項第二案附帶決議是請問提案委員有沒有補充說明沒有了 機關有沒有其他意見或說明
transcript.whisperx[251].start 8419.018
transcript.whisperx[251].end 8431.857
transcript.whisperx[251].text 好 那附帶決議第四案就照案通過討論事項第二案附帶決議第五案請問提案委員有沒有補充說明沒有的話請機關有沒有補充意見
transcript.whisperx[252].start 8435.956
transcript.whisperx[252].end 8461.862
transcript.whisperx[252].text 跟主席跟各位委員說明因為以下有好幾案委員都有不同的建議就是未來這個兒少署裡面的組要如何的編制每一個組裡面要擔負什麼樣的業務我想底下好幾位委員的附帶決議內容也都不盡相同所以是不是都我們納為我們一起參考
transcript.whisperx[253].start 8462.922
transcript.whisperx[253].end 8484.939
transcript.whisperx[253].text 因為未來我們會在這個初步歸程的時候那麼再去一併的參酌以上說明我想這個是因為很多團體也很關心就怕你們有一些業務沒有納進來那我也贊成就是說如果大家有一些不一樣的看法的話但是
transcript.whisperx[254].start 8485.795
transcript.whisperx[254].end 8507.195
transcript.whisperx[254].text 委員提出來的這個像我提出來的第五就希望你們可以去參照好不好你們就參照然後一併去嚴密規劃組別的部分大家幾個幾位委員大概都是六組啦所以我們會朝向這個以六組可是這組的業務內容是什麼因為每個委員不盡一致我們在一併那個納入
transcript.whisperx[255].start 8509.977
transcript.whisperx[255].end 8529.788
transcript.whisperx[255].text 可以 因為這個就是我剛剛講的這個分工的規劃跟我們剛剛審的第二條其實是息息相關就是他的執掌跟這邊的分工所以這就一併後面大家協商再來討論處理好那附帶決議第五案我們就保留討論事項第二案附帶決議六
transcript.whisperx[256].start 8532.659
transcript.whisperx[256].end 8547.086
transcript.whisperx[256].text 提案委員有沒有補充說明那機關有沒有什麼意見我們的意見跟剛剛一樣因為也是跟第五案的意見因為他也是分了六組但是那組的名稱也不一樣來 那討論事項第二案附帶決議七提案委員有沒有補充說明
transcript.whisperx[257].start 8560.916
transcript.whisperx[257].end 8587.757
transcript.whisperx[257].text 提案委員沒有補充 機關有看到沒有新的 你們有沒有補充說明也是一樣 這個是在初屋歸塵的時候去討論的也是那個分組的業務內容好啦 這樣保留討論事項第二案附帶決議7提案委員有沒有補充說明沒有 機關有沒有補充意見
transcript.whisperx[258].start 8591.043
transcript.whisperx[258].end 8607.194
transcript.whisperx[258].text 第七頁保留討論事項第二任附帶決議八提案委員有沒有補充說明沒有的話請機關表達意見遵照辦理討論事項第二任附帶決議八我們就照案通過
transcript.whisperx[259].start 8622.721
transcript.whisperx[259].end 8649.148
transcript.whisperx[259].text 來 第一案已經回來了那兒少第二條討論事項第二案附帶決議那應該要再唸一下吧宣讀一下這個是文字修正的修正文字如下第三項修正為住宿
transcript.whisperx[260].start 8651.272
transcript.whisperx[260].end 8674.449
transcript.whisperx[260].text 將將刪除然後住宿是照顧應包括自立知識服務及社區生活相關業務以完整涵蓋兒少自立發展與回歸社區之服務需求選舉完畢好那田委員跟機關都沒有意見我們兒少第二條討論事項第二案附帶決議依舊照修正通過
transcript.whisperx[261].start 8684.264
transcript.whisperx[261].end 8708.561
transcript.whisperx[261].text 本案主條均已處理完畢做以下宣告本案審查完畢拟據審查報告提請院會來公決那本案是否交由黨團協商好本案須交由黨團協商院會討論的時候由莊召及委員瑞雄出席說明附帶決議六項一併提報院會來做處理那附帶決議
transcript.whisperx[262].start 8711.434
transcript.whisperx[262].end 8739.246
transcript.whisperx[262].text 两案保留那也送院会来处理调次引述条文部分文字及法治用于三案还是两案三案还是三案三案三案抱歉喔附带决议三案保留送院会来处理那调次引述条文部分文字及法治用于用字授权主席跟议事人员来整理
transcript.whisperx[263].start 8744.81
transcript.whisperx[263].end 8766.255
transcript.whisperx[263].text 那我們現在討論事項第三案來併案審查行政院函請審議衛生福利部長期照顧及社會發展署組織法的草案等12案請問在場委員要不要做大體討論我看不用了我們就主條那我們就直接進入主條的審查
transcript.whisperx[264].start 8775.956
transcript.whisperx[264].end 8786.215
transcript.whisperx[264].text 名稱的部分除了林業群委員的提案以外其他提案名稱都相同林委員要看到行政院的好不好
transcript.whisperx[265].start 8787.762
transcript.whisperx[265].end 8810.998
transcript.whisperx[265].text 來聽妳的聽妳說我剛剛前面已經有講過就是說為什麼我們後來改正因為我們社福團體已經討論過他跟身障團體討論過今天如果把按照我們衛福部的是把長照放在前面主體是長照可是今天這邊如果剛才的衛福部的組織法裡面如果有討論到婦女的話
transcript.whisperx[266].start 8811.838
transcript.whisperx[266].end 8830.795
transcript.whisperx[266].text 那如果要放在保護那另外一個現在被保留可是如果放在這邊的話會變成這有三個族群 身障我們的高齡者跟我們的婦女那這三塊怎麼會是先長照因為長照畢竟大概都是高齡者
transcript.whisperx[267].start 8831.24
transcript.whisperx[267].end 8850.409
transcript.whisperx[267].text 比較在使用所以團體的意見會比較希望就交換一下就是說把長照本來長照及社會發展署把它放社會發展放到前面那我覺得那之前有跟部裡邊溝通過部裡邊也是同意我覺得這個會比較好一點這是第一個第二個
transcript.whisperx[268].start 8851.129
transcript.whisperx[268].end 8874.983
transcript.whisperx[268].text 我覺得與時俱進我們現在老福法大家都會覺得要改成高齡者權益保障法的時候我們在這邊都還是在呈現很多條文都在寫老人所以我建議是這一條裡面只要甚至後面條文只要寫到老人的話應該要考慮因為那是過去早期我們立法時的慣用語可是隨著社會結構現在65歲都還是
transcript.whisperx[269].start 8878.786
transcript.whisperx[269].end 8891.132
transcript.whisperx[269].text 都還是身心很健康的狀態你用老人這種用詞的話我覺得一方面預設年長者都是被照顧失能或社會負擔的對象忽略高齡者在能力健康狀況社會參與跟生活樣態的高度的多元化
transcript.whisperx[270].start 8894.173
transcript.whisperx[270].end 8915.211
transcript.whisperx[270].text 所以我覺得也跟我國積極跟聯合國的目標也不一樣聯合國也就是說要活力老化所以我們會認為說這種方向已經跟聯合國也不太符合所以我覺得為回應年齡歧視的防治所以我認為應該把這一條的條文裡面只要講到老人的都一律修正為高齡者因為第一條就已經碰到了我們希望說
transcript.whisperx[271].start 8915.871
transcript.whisperx[271].end 8931.5
transcript.whisperx[271].text 可不可以用這個名詞然後另外一個就是我們的署的名稱把它反過來就是社會發展及長照署不是用長照及社會發展署以上 謝謝部長 我覺得有道理你一直點頭 所以就叫
transcript.whisperx[272].start 8938.516
transcript.whisperx[272].end 8959.255
transcript.whisperx[272].text 跟委員說明就是說那個署的名稱我們讓他在社會發展在前長照在後本部表示支持啦我們上個禮拜五有跟團體有道理啦有道理啦都有共識所以我們支持把名稱做修正這樣
transcript.whisperx[273].start 8961.597
transcript.whisperx[273].end 8976.482
transcript.whisperx[273].text 但是就是 老人的可不可以變成是高齡來 我來處理 你用講的不遵守來 版本 再寫一下 寫一下對 全民是社會發展及長期照顧屬你是第一條跟第三條 我現在在說名稱名稱 名稱 現在講名稱
transcript.whisperx[274].start 8991.101
transcript.whisperx[274].end 8991.921
transcript.whisperx[274].text 我們是社會發展及長照署
transcript.whisperx[275].start 9018.374
transcript.whisperx[275].end 9026.98
transcript.whisperx[275].text 是啦 你那是第一條 我在說名稱的部分你也要寫一個寫一個啦 寫一個 我們不然我再叫你的通過你有沒有搞笑啊 你我再講那個 大家都跟人家不一樣 結果大家都聽你的那當然也要先寫一個這樣我們待會 這個等一下再處理啦
transcript.whisperx[276].start 9046.414
transcript.whisperx[276].end 9060.498
transcript.whisperx[276].text 接下來我們處理第一條 第一條除了林月琴委員 其他委員提案內容均相同林月琴妳有跟別人講嗎但是聽起來不錯來 她的修正動議 大家手上有沒有拿到第一條要宣讀一下讀過了
transcript.whisperx[277].start 9074.181
transcript.whisperx[277].end 9080.064
transcript.whisperx[277].text 那第一條來 請林二請為人補充說明要討論這一條我剛剛講的就是兩項嘛一個是沒有沒有你那個名稱才是你最好的對所以這第一條裡邊我剛剛提到說老人全部一律改為高齡者所以第一條的那個只要提到老人還有特社社會發展及長照署
transcript.whisperx[278].start 9102.875
transcript.whisperx[278].end 9118.29
transcript.whisperx[278].text 你那個有兩部分第一個部分名稱啦衛福部人也贊成大家也贊成你再來是第一條好不好那你那個名稱的部分寫了那第一條的部分是不是請機關表示意見
transcript.whisperx[279].start 9119.802
transcript.whisperx[279].end 9137.085
transcript.whisperx[279].text 跟委員說明這個第一條的部分涉及到那個老人要改成高齡者但是因為這涉及到我們還有其他的法規是老人福利法那個很多地方也都是所以現在我們查起來只有在那個
transcript.whisperx[280].start 9138.706
transcript.whisperx[280].end 9156.91
transcript.whisperx[280].text 勞動部的中高齡及高齡就業促進法有用到高齡者這個名稱其他的法規都還是用老人所以這個影響層面會蠻大的是不是還是維持原本的用字還是以老人這個如果補聽 我覺得你們有比較保守
transcript.whisperx[281].start 9164.062
transcript.whisperx[281].end 9169.364
transcript.whisperx[281].text 你像譬如說,你看人家有什麼身心障礙,什麼卡對不對?那欠人家,我們覺得心情很壞,你也給他創一個名字,創得更好,要貼在他上面,健康卡,我不是說開心卡啦,就是健康卡,什麼卡,你給他創一個標籤化,
transcript.whisperx[282].start 9183.817
transcript.whisperx[282].end 9201.144
transcript.whisperx[282].text 我覺得你都應該可以在 你的太陽是很清澈的人應該突破一下像這個 你在這個地方去你不要以為說好像會跟白鴨相伴你這個地方去做突破很多事情你搞不好你是後面你要去做一些突破修正會更好一點影響會很大嗎 哪影響不會大你的林業群委員 來 吳思耀委員我先跟你說
transcript.whisperx[283].start 9210.341
transcript.whisperx[283].end 9232.872
transcript.whisperx[283].text 部長聽一下因為這一次是我們優先在衛福要成立一個新的署而且focus在高齡者的長期照顧所以這確實是一個機會我們藉由這個署的組織的新出發來帶動其他法規名稱的統一化
transcript.whisperx[284].start 9234.112
transcript.whisperx[284].end 9261.321
transcript.whisperx[284].text 所以說我當然知道很多過去都用老人嘛那也如果要改你們以後就可以啟動就他剛好是一個很好的發認一個很好的開端因為就是配合高齡者的長期照顧這個新屬的成立我們在社會的溝通啦社會的倡議啦新興的思維裡面都為這個開始啦所以令醫藥來啟動其他法規的配套的修正那個之後那我是支持把老人就做這個改靈
transcript.whisperx[285].start 9263.582
transcript.whisperx[285].end 9276.048
transcript.whisperx[285].text 改為高齡者因為沒有人喜歡被叫老人OK我是支持岳勤委員對嗎你像柏中你這個看起來我就覺得你沿途的年輕人他還會說你老人是不是
transcript.whisperx[286].start 9280.572
transcript.whisperx[286].end 9297.147
transcript.whisperx[286].text 可以啦可以這樣就跟主席報告確實啦因為這個是組織法啦組織法不會去下名詞定義啦所以我們要在其他的作用法裡面去修不然我們會出現一個高凝者可是卻無定義什麼叫做高凝者
transcript.whisperx[287].start 9297.848
transcript.whisperx[287].end 9316.525
transcript.whisperx[287].text 那麼剛剛提到的那個就業促進法是在勞動部的法規不是在本部的所以等於未來我們要在本部要配合其他的法規特別是勞輔法一定要去修不然的話會對不起來我們這是組織法我們不會去下名詞定義要回到作用法去修
transcript.whisperx[288].start 9317.83
transcript.whisperx[288].end 9336.416
transcript.whisperx[288].text 如果這個趨勢是如此我們來接受委員的建議蓋了我們再去修老扶法因為那個老扶法就要改了不然我們那邊叫老人這邊變成高齡者兩邊的 對不起
transcript.whisperx[289].start 9338.806
transcript.whisperx[289].end 9360.403
transcript.whisperx[289].text 沒關係啦,不聽話,你現在又年輕,你又沒感覺啦,又記歸了,你就知道你那個整個部會這麼多人在這個地方對這個名稱把它變成高齡者有沒有特別的看法有疑慮的提出來沒有關係不然其實搞不好其他的法規全部都是文字修正而已啦除非你有涉及到要件,那要件的定義你再講清楚就好啦
transcript.whisperx[290].start 9361.488
transcript.whisperx[290].end 9381.282
transcript.whisperx[290].text 主席有個小問題如果是採用林月琴委員的修正動議的第一條那我要再確認一次法案的名稱到底是叫長照還是長期照顧四個字如果採用林月琴委員的修正動議你的長照一樣要變成長期照顧變成長期照顧署以後就正名叫做社會發展及長期照顧署
transcript.whisperx[291].start 9388.866
transcript.whisperx[291].end 9392.647
transcript.whisperx[291].text 因為現在用你的修正動議裡面你都是要長照兩個字嘛好 那現在提案林月琴委員的提案修正動議名稱的部分要先宣讀討論事項第三 修正動議五將名稱改為衛生福利部社會發展及長期照顧署提案的林月琴等人 宣讀完畢
transcript.whisperx[292].start 9419.212
transcript.whisperx[292].end 9428.122
transcript.whisperx[292].text 好 這樣修正動議在場委員沒有意見我們就召喚通過那第一條林月琴委員的提案這條修正動議簽了嗎
transcript.whisperx[293].start 9447.182
transcript.whisperx[293].end 9475.162
transcript.whisperx[293].text 依修正動議修正後通過所以老人改高齡者所以現在跌倒就變成這樣衛生福利部為辦理長期照顧高齡高齡者身心障礙者婦女國民年金之業務特色社會發展及長期照顧署這個提案人林瑞琴
transcript.whisperx[294].start 9478.451
transcript.whisperx[294].end 9497.509
transcript.whisperx[294].text 我們現在有一個沒解決的問題就是組織法裡面原本常發因為假設社造屬假設放婦女就人口比我們剛剛前面在討論的第二條的時候在組織法裡面那婦女要放在那邊還是要放在這邊一直沒搞定
transcript.whisperx[295].start 9498.67
transcript.whisperx[295].end 9522.439
transcript.whisperx[295].text 因為范園委員提出來的是說要放在那邊我的版本是放在這邊那時候第二條就沒有決定那到底現在繼續走下去我們每一條都會有問題尤其是第二條第一條當然也會因為他第二條第一條就有問題了因為婦女現在這邊有個婦女如果雖然老人改成高齡者可是身心障礙者可是婦女到底要放這邊還是要放在那個保護師
transcript.whisperx[296].start 9523.936
transcript.whisperx[296].end 9527.661
transcript.whisperx[296].text 跟保護是合併這一條是沒有解決的對啦 當然會有你丟分跟丟分這樣規定確實啊 會產生進合啊會產生進合啊
transcript.whisperx[297].start 9536.875
transcript.whisperx[297].end 9557.843
transcript.whisperx[297].text 我不知道說接下來第二條我的版本原本是要放在用人口別放在這邊按照跟行政院的一樣可是人口別放在這邊那我的每一條裡面大家都會提到婦女可是如果放在那邊的話我們這一條根本也沒辦法討論第二條第一條沒辦法做通過第二條也沒辦法討論如果沒有解決前面的話你們都很厲害我以前就照顧夫婦的最快
transcript.whisperx[298].start 9565.781
transcript.whisperx[298].end 9573.51
transcript.whisperx[298].text 我就是叫衛福部來附你放在這邊那第二條就可以討論第一條也可以通過可是現在就是前面我們那一條保留啦那就一定的 你組織完之後你如果保留 下面你怎麼做嘛
transcript.whisperx[299].start 9584.127
transcript.whisperx[299].end 9602.693
transcript.whisperx[299].text 很麻煩啦 但是協商還是有它的意義啦還是有意義 畢竟這一些這個部分沒關係啦 一條一條來啦那我們討論 我們現在第一條來 討論事項第三案修正動議修正動議第二案就第一條就照林月琴委員的那個機關家 衛務部家有意見嗎
transcript.whisperx[300].start 9614.673
transcript.whisperx[300].end 9629.004
transcript.whisperx[300].text 這個署的名稱搭配剛剛的修正我們是支持其餘因為有一個那個婦女業務上有一個婦女的業務我們是比較主張就是按照行政院版本因為跟第二條會連動就是
transcript.whisperx[301].start 9631.912
transcript.whisperx[301].end 9652.248
transcript.whisperx[301].text 老人婦女生長者的福利福利服務還有福利資源還有權益保障社會參與那麼都是一起的所以跟我們第二條都會對起來所以我們是希望婦女能夠放在這裡不過因為還有一些委員有意見所以我們是建議這個條文還是保留陪保留
transcript.whisperx[302].start 9658.967
transcript.whisperx[302].end 9661.248
transcript.whisperx[302].text 第一條就保留了第二條
transcript.whisperx[303].start 9688.547
transcript.whisperx[303].end 9695.671
transcript.whisperx[303].text 第二條除了行政院還有這麼多委員還有林耀群委員有提修正動議案那是不是請這條第二條你也不理我也不理我那第二條我們就保留
transcript.whisperx[304].start 9708.427
transcript.whisperx[304].end 9724.037
transcript.whisperx[304].text 那第三條 第三條各提案的條文內容其實都是相同那有黃國昌 翁小玲委員提修正動議修正動議一跟修正動議四陳大志委有意見
transcript.whisperx[305].start 9733.602
transcript.whisperx[305].end 9758.369
transcript.whisperx[305].text 這第三條剛才就大家有說過你現在就是要變常任的常任的意思所以主席認為我不需要再說明因為翁委員他現在到另外一個委員會他有請我們一起幫他做說明大家意見 機關請表達意見跟委員說明因為現在這個社家署的我們現行社家署就是常任文官然後長照師也是併起來
transcript.whisperx[306].start 9760.169
transcript.whisperx[306].end 9780.958
transcript.whisperx[306].text 應該執行上比較沒有困難啦所以如果這個我們不堅持這個讓他單列檢認十三指等也是可以啦這樣啦 很簡單啦剛才俄少數也保留 這點也保留啦 好不好我們這個處理的邏輯就一樣嘛我們剛才也保留 這點也保留 好不好 早知 OK好來 接下來第四條
transcript.whisperx[307].start 9788.103
transcript.whisperx[307].end 9798.951
transcript.whisperx[307].text 第四條提案的條文內容均相同那我們是不是就照行政院的提案通過第五條各提案的條文內容也都一樣我們就按照行政院的版本通過
transcript.whisperx[308].start 9810.199
transcript.whisperx[308].end 9820.27
transcript.whisperx[308].text 第六條 除了羅廷偉委員 廖偉祥委員等提案以外其餘各提案的內容均相同這不來 特別說怎麼樣
transcript.whisperx[309].start 9826.425
transcript.whisperx[309].end 9842.562
transcript.whisperx[309].text 一樣啦 剛剛就是行政院以命令定制跟行政院定制是相同的羅委員剛剛其實也表達同意了那我們第6條也按照行政院的提案通過
transcript.whisperx[310].start 9847.148
transcript.whisperx[310].end 9856.655
transcript.whisperx[310].text 那本案 逐條均與處理完畢 做以下宣告本案審查完畢 領據審查報告提請院會來公決本案是否交由黨團協商要嗎 要來 院會 這些都夠多了 院會討論時由莊昭偉瑞雄出席說明條次引述條文部分文字跟法制用字用語授權主席跟議事人員來做整理
transcript.whisperx[311].start 9880.459
transcript.whisperx[311].end 9895.626
transcript.whisperx[311].text 討論事項第四案病案審查行政院函請審議衛生福利部中央健健康保險署組織法第二條條文修正草案等八案是不是要我們直接進行主條的不用再大體討論了好
transcript.whisperx[312].start 9902.813
transcript.whisperx[312].end 9930.511
transcript.whisperx[312].text 第二條來因為我們現在繼續來主條討論這只是一個條文而已第二條其實除了委員郭玉琴等16人提案不一樣以外其餘的各提案內容其實都相同不然這樣這一條其他委員有沒有其他意見如果沒有
transcript.whisperx[313].start 9933.447
transcript.whisperx[313].end 9954.281
transcript.whisperx[313].text 第二條我們就照行政院的那我們就按照行政院的提案通過囉跟主席報告第二條本來郭育群委員有提案那我們已經把他的提案納入我們的第八條就是現在的行政院版本那已經溝通過郭委員表示同意謝謝補充說明
transcript.whisperx[314].start 9958.56
transcript.whisperx[314].end 9982.754
transcript.whisperx[314].text 本案逐條均已處理完畢 來做以下宣告本案審查完畢 凝聚審查報告提醒院會公決本案是否交由黨團協商來 院會討論時 由莊召集委員瑞雄主席說明條次引述條文部分文字及法制用字用語授權主席及議事人員整理
transcript.whisperx[315].start 9985.939
transcript.whisperx[315].end 10011.5
transcript.whisperx[315].text 我們現在討論事項第五案 病案審查行政院函請審議國家醫療科技評估中心設置條例的草案等八案主席 主席 不好意思剛才我們有說明說因為參考了這個郭玉琴委員的提案所以我們有建議的修正條文不是行政院 是修正建議條文建議條文靠款
transcript.whisperx[316].start 10012.898
transcript.whisperx[316].end 10035.138
transcript.whisperx[316].text 屋屋屋在旁邊那一欄多了第八款全民健康保險資料之利用與管理沒有耶 沒有耶我剛才有給你們提醒你們要做什麼你們都要文字寫下來委員簽名這樣才有尊聖你要適中 適中修正動議喔 你們會不會這樣不行不是不是不是不是不是你們那個條文
transcript.whisperx[317].start 10041.831
transcript.whisperx[317].end 10049.473
transcript.whisperx[317].text 寫成修正動議請委員簽字您就不按 那不按要怎麼同歸您的趕快寫 好 謝謝立刻處理主席 叫他們去觀察社 好不好很冷的 很危險的
transcript.whisperx[318].start 10077.456
transcript.whisperx[318].end 10077.977
transcript.whisperx[318].text 先休息一下
transcript.whisperx[319].start 10456.67
transcript.whisperx[319].end 10456.831
transcript.whisperx[319].text 阿俠後備
transcript.whisperx[320].start 10575.277
transcript.whisperx[320].end 10578.9
transcript.whisperx[320].text 條文看一下
transcript.whisperx[321].start 10675.441
transcript.whisperx[321].end 10676.524
transcript.whisperx[321].text 你們國會主席是誰啊這樣不行喔 下次這樣不行
transcript.whisperx[322].start 10708.174
transcript.whisperx[322].end 10729.269
transcript.whisperx[322].text 我們先請宣讀宣讀第四案修正動議第二修正動議一第二條參照行政院提案增訂第八款為全民健康保險資料之利用與管理原第九第八款以至第九款提案人林月琴等人宣讀完畢
transcript.whisperx[323].start 10736.943
transcript.whisperx[323].end 10752.524
transcript.whisperx[323].text 更正宣告 討論事項第四案修正動議一 按照林月琴委員的修正動議通過
transcript.whisperx[324].start 10759.927
transcript.whisperx[324].end 10789.037
transcript.whisperx[324].text 本案主條經已處理完畢 作以下宣告本案審查完畢 擬拒審查報告提請院會公決本案是否交由黨團協商要啦 那不要本案須交由黨團協商院會討論時由莊昭及委員瑞雄出席說明條次引述條文部分文字及法制用語用字授權主席跟議事人員整理
transcript.whisperx[325].start 10798.14
transcript.whisperx[325].end 10812.744
transcript.whisperx[325].text 討論事項第五案 病案審查行政院函請國家醫療科技評估中心設置條例草案等八案那請問在場委員是不是要進行大力討論不用啦那我們就直接進入主條討論那
transcript.whisperx[326].start 10820.543
transcript.whisperx[326].end 10840.87
transcript.whisperx[326].text 我們繼續來主條討論本案是制定案一共要處理名稱5個章名跟35個條文名稱的部分各提案的名稱均相同我們就按照行政院的提案通過
transcript.whisperx[327].start 10842.881
transcript.whisperx[327].end 10868.017
transcript.whisperx[327].text 第一張張明那各位提案委員張明其實都相同我們就按照行第一張張明就按照行政院的提案通過那第一條各提案委員的條文內容均相同委員程昭之等三人所提修正動議請問來程昭之委員
transcript.whisperx[328].start 10872.725
transcript.whisperx[328].end 10899.29
transcript.whisperx[328].text 主席 你要給我時間 我都沒講完沒開到你的時間那個第一條 我們討論第一條第一條第一條醫療科技評估的結果會影響哪些藥 哪些醫療服務或哪些新興科技可以被納入健保給付這個是非常大的事情也會影響健保資源怎麼來分配對病人權益 醫療體系跟公共財政都有重大影響所以它必須是個有制度有標準能夠被社會檢視的決策基礎所以
transcript.whisperx[329].start 10902.131
transcript.whisperx[329].end 10929.358
transcript.whisperx[329].text 在第一項部分等一下我再來就是讓大家了解第二項我特別要提到就是說可克折是治理跟監督機制目的在於回應這個社會對醫療科技評估制度的信任問題醫療科技不僅只是技術問題還涉及一個價值的選擇跟公共利益所以本中心在運作上除了醫學醫療科技方法學還有一個一定的方法學跟實證資料也必須將社會倫理跟公共價值納入考量並透過明確
transcript.whisperx[330].start 10930.478
transcript.whisperx[330].end 10953.716
transcript.whisperx[330].text 的治理架構跟監督機制使這個過程跟結果能夠被檢視被說明被追究責任那過去也有研究指出行政法案這類比較公私混合的組織是不是能夠成為政府改造正確良好的政策工具它的關鍵處是在於是否能夠確實調和公共的課則跟私部門的效率所以我們這裡就是要求該中心在評估方法程序的設計跟意見形成過程當中必須透明
transcript.whisperx[331].start 10957.139
transcript.whisperx[331].end 10977.63
transcript.whisperx[331].text 有依據並能對社會清楚說明其專業判斷的理由建立一個有專業又值得信任醫療科技評估我們醫療科技評估在2007年開始運用在健保的形容2019年以後才正式立了這個法所以第一條我們的修正案就是說也希望大家能夠支持我們把它寫得更明確更精確為了促進全民健康與福祉我們下來都不是空話
transcript.whisperx[332].start 10981.792
transcript.whisperx[332].end 11009.319
transcript.whisperx[332].text 針對衛生醫療相關政策運用醫療科技評估方法作為合理的醫療資源配置及健康政策決策的依據所以才特設國家醫療科技評估中心制定本條例還有第二個我們的修正中心很重點是本中心應該結合醫療科技評估方法學實證基礎及社會倫理價值並建立可克責性之治理跟監督機制以上請各位同事參考 請主席參考 謝謝
transcript.whisperx[333].start 11013.251
transcript.whisperx[333].end 11034.227
transcript.whisperx[333].text 你部長可以嗎?我很認真給你看你第一條有比較多形容詞其實跟第一條行政院提案其他各委員也差不多但是部長看機關這邊可能也針對陳委員這個部分來看議案裡面的意見他不會這樣加形容詞加不完
transcript.whisperx[334].start 11041.616
transcript.whisperx[334].end 11048.318
transcript.whisperx[334].text 如果部長接受就過去了因為如果其實我們是把邏輯上跟這個道理上第一條這個也不是這個也不是周知委員這也不是邏輯的問題行政院的是說促進國家醫療資源的有效運用
transcript.whisperx[335].start 11067.8
transcript.whisperx[335].end 11093.334
transcript.whisperx[335].text 跟推動醫療科技的評估你是說要促進全民健康跟福祉國家醫療資源有效運用我們要運用醫療科技的方法作為合理醫療因為這個要徹底資源配置什麼東西要納入健保什麼東西不需要納入健保現在就要仰賴這個科技這個是對於每一個人都是非常重要的一個期待而且檢視
transcript.whisperx[336].start 11095.501
transcript.whisperx[336].end 11111.102
transcript.whisperx[336].text 醫療科技評估跟醫療科技評估方法有什麼不同給我修正動議好嗎我沒有那個吳思瑤我也沒有拿到修正動議他們沒有修正動議部長你還沒看完沒有
transcript.whisperx[337].start 11114.493
transcript.whisperx[337].end 11135.688
transcript.whisperx[337].text 主席跟各位說明因為行政院版本明確的是提到這個中心的設立是在為了醫療資源的有效運用那推動這個醫療科技評估去落實給付跟健康政策但是這個這個陳委員的修正動議有點
transcript.whisperx[338].start 11137.489
transcript.whisperx[338].end 11158.276
transcript.whisperx[338].text 太大了就是弄成是為了推進全民健康與福祉這看起來像衛福部然後底下最重要的是這樣因為他只是針對衛生醫療相關政策我們針對的是醫療及戶籍健康政策
transcript.whisperx[339].start 11159.216
transcript.whisperx[339].end 11177.158
transcript.whisperx[339].text 所以沒有讓那個醫療給付我們這個中心很重要的一個是醫療給付還有健康政策那但是您的版本看到的是是針對衛生醫療相關政策對象不同
transcript.whisperx[340].start 11182.042
transcript.whisperx[340].end 11204.022
transcript.whisperx[340].text 就比較是不是可以按照行政院的版本那至於說第二項要加上去那麼結合這個醫療科技評估的方法學實證基礎建立我覺得這個倒是可以考慮那第一項的文字是不是維持行政院的版本比較清楚
transcript.whisperx[341].start 11205.321
transcript.whisperx[341].end 11225.986
transcript.whisperx[341].text 那第二項的文字上如果要加上去我們是不反對所以部長可以接受我們加上一個那個後面就是去結合方法學實證基礎跟社會倫理價值去建立可苛責性質治理監督機制這開宗明義把它講清楚但是後面
transcript.whisperx[342].start 11227.831
transcript.whisperx[342].end 11249.32
transcript.whisperx[342].text 這樣啦 我聽得懂啦 我聽得懂啦就是說第一項 按照行政院的提案啦那第二項就是說 要同意按照成昭之委員的就是說本中心應結合醫療科技 加這段就對了啦 加這項但是這個我也看不懂 你那個到底是什麼?陳念捏 你不能寫一個條文 大家寫一個條文出來 大家都看不懂
transcript.whisperx[343].start 11258.128
transcript.whisperx[343].end 11261.92
transcript.whisperx[343].text 醫療科技評估是看你要講我講醫療科技評估就是
transcript.whisperx[344].start 11265.632
transcript.whisperx[344].end 11293.51
transcript.whisperx[344].text 有一套他的專業跟他的方法學這全世界都已經執行了非常久了那一定要按照過去我必須說過去我說2007年開始運用醫療科技評估來幫助健保署去哪些藥要給付哪些新科技要給付但是他常常受限於財務我現在剩多少錢我怎麼估就完全去配合我覺得說過去都變成健保署的小弟小妹簡單的說現在他竟然成立一個獨立的一個作業中心
transcript.whisperx[345].start 11294.63
transcript.whisperx[345].end 11301.036
transcript.whisperx[345].text 那他就要回到專業回到專業今天因為在場沒有其他的人因為這種人很少願意來這邊立法院被潑髒水這個本中心應該結合醫療科技這個部長不會不懂所以你們都弄一個大家不懂的東西我就問你嘛你像譬如說你那個增加的我沒有特別的意見我的意思是說
transcript.whisperx[346].start 11319.432
transcript.whisperx[346].end 11320.573
transcript.whisperx[346].text 就是他要負起責任,因為過去的評估很多不是正確的
transcript.whisperx[347].start 11337.503
transcript.whisperx[347].end 11364.204
transcript.whisperx[347].text 不是每一個評估本來他都必須要負責任因為你這個可苛責任到底是在說行政責任還是要談什麼樣的一個責任這個就在條文裡面語意就不清楚了我們在後來的法條開始就是下面的第三條法條就會比較有清楚的我們有一條一條的那個方法學就是要不要把這個概念帶進去你覺得成立一個中心我認為 昭芝妳有沒有可能你們去提附帶決議針對這個條文的部分
transcript.whisperx[348].start 11366.646
transcript.whisperx[348].end 11383.251
transcript.whisperx[348].text 不要拖穩補穩 你不要弄得開火我們有另外一條負債決議啦但是不是在處理這一條這開宗明義要講清楚今天我們好不容易國家這個在侯相茂署長就開始醞釀了好不容易現在2026年要成立了
transcript.whisperx[349].start 11384.404
transcript.whisperx[349].end 11407.424
transcript.whisperx[349].text 已经就是19年后就是健保开始运用医疗科技评估因为很多东西不是就是一定要有一个评估方法为什么这个是有价值的这个是我们值得国人愿意付多少钱付得起多少钱怎么付法但那么考虑什么像喊病考虑人道考虑社会价值考虑伦理学这个是老实说这个中心的运作会影响很大影响非常大
transcript.whisperx[350].start 11408.845
transcript.whisperx[350].end 11433.528
transcript.whisperx[350].text 好 我自己在裡面用了很久 慢慢地討論慢慢地討論 語調放輕鬆 來 吳思瑤委員主席 我是建議第一條是用行政院的提案的版本那我可以理解 招資委員希望可以更周延那我的具體的主張是這樣我覺得我們那個立法例的精神也是要比照一下
transcript.whisperx[351].start 11434.549
transcript.whisperx[351].end 11453.355
transcript.whisperx[351].text 過去對於這些中心組織新設組織的條例大概就是第一條是講這個是什麼What對不對What是這個新的組織所以說招資委員的第二項顯然是How還有And後面要執行的And Then這樣子
transcript.whisperx[352].start 11453.993
transcript.whisperx[352].end 11468.922
transcript.whisperx[352].text 所以我是建議說第一條還是依過去的立法例這個中心是什麼然後特制定本條例那招資委員的第二項可以在有幾個處理方式三個處理方式第一個可以在條文說明裡頭
transcript.whisperx[353].start 11469.997
transcript.whisperx[353].end 11494.042
transcript.whisperx[353].text 第二個可以用附帶決議的方式第三個或是落在後面相關業務執掌相關的條文裡頭我是做這樣的建議否則就怪怪真的就條文是怪怪所以我是建議用行政院的版本但是教職委員用這ABC三種方式來處理這樣子的一些主張
transcript.whisperx[354].start 11497.142
transcript.whisperx[354].end 11523.143
transcript.whisperx[354].text 好 謝謝吳委員因為你這個條文兩個長的我第一個來講啦你第一個講的第一項其實在談的是這個立法的一個目的啦那你第二個你又把它加進去這個我請教部長就是說你行政院的條文跟程昭之委員的條文程昭之委員的疑慮就是說你的條文跟沒辦法涵蓋
transcript.whisperx[355].start 11526.91
transcript.whisperx[355].end 11553.107
transcript.whisperx[355].text 應該跟委員說明我們是建議這一條維持行政院版本至於委員所提到的那個第二項他的修正動議第二項是希望有一些這個可克責性的機制可以在後面來處理因為後面在第三條的部分也會有相關的委員提案會有涉及到這個方法學跟倫理價值實證基礎
transcript.whisperx[356].start 11556.25
transcript.whisperx[356].end 11580.569
transcript.whisperx[356].text 納入在這個評估的過程這樣好了 莊姿這樣就我們這條就叫第一條本人就照行政院的提案來通過那你其他部分我們抵一下那個地方看你要怎麼樣來做當然本來我想說第一條有那第三條那個部分就不再強調嘛你現在說第一條不要放這個你不要放這個放第一條很殘暴小
transcript.whisperx[357].start 11588.569
transcript.whisperx[357].end 11606.253
transcript.whisperx[357].text 醫療科技評估你懂啊王振旭懂啊他只是沒講話我們都在裡面待過第一條普通就是立法目的跟立法精神第一條就按照行政院的提案通過第三條要納入第三條我們要討論這件事來第二條
transcript.whisperx[358].start 11614.178
transcript.whisperx[358].end 11624.702
transcript.whisperx[358].text 第二條的其實除了羅廷偉委員的提案以外其餘各提案內容均相同查這個第二項而已 羅委員查這個第二項而已那第二條我們就按照行政院的提案通過
transcript.whisperx[359].start 11636.892
transcript.whisperx[359].end 11651.382
transcript.whisperx[359].text 好 我們現在進入到第三條第三條除了郭玉琴與委員等16人提案以外其餘各提案委員內容都相同那陳委員招之你有提一個修正動議啊王正旭委員來 王正旭講一下你要講一些一槌定音大家都點了來
transcript.whisperx[360].start 11661.559
transcript.whisperx[360].end 11674.577
transcript.whisperx[360].text 謝謝主席謝謝趙委讓我有機會針對第三條做一些意見上的表達那剛剛趙市委員針對第一條的部分我相信第三條這邊我們還可以奢華來補強那有關你第三條
transcript.whisperx[361].start 11675.678
transcript.whisperx[361].end 11692.311
transcript.whisperx[361].text 本中心的業務範圍如下第一款就是要發展與建立醫療科技評估方法與指引在相對的立法說明裡面第二的部分他就講到醫療科技評估可應用於藥品醫療器材手術組織
transcript.whisperx[362].start 11693.812
transcript.whisperx[362].end 11710.558
transcript.whisperx[362].text 健康政策或健康系統等範疇我們覺得這個部分其實還可以再加強加強的地方就是新醫療技術跟新醫療服務早上這個說明裡面我們也針對所謂新醫療技術也做了一些說明
transcript.whisperx[363].start 11711.358
transcript.whisperx[363].end 11727.495
transcript.whisperx[363].text 為什麼我們很希望能夠把新醫療技術納進來因為未來的科技它不會是單純的藥物也不會是單純的醫療器材也不是單純的手術那台北都是已經合作了那個就是變成新的醫療技術那另外
transcript.whisperx[364].start 11728.416
transcript.whisperx[364].end 11743.884
transcript.whisperx[364].text 未來轉化成為健保處理的時候也有所謂的新的醫療服務等等所以如果我們不動相關的條文的話我們至少在立法說明裡面可以把在醫療科技評估可應用於藥品 醫療器材 手術處置
transcript.whisperx[365].start 11748.306
transcript.whisperx[365].end 11764.978
transcript.whisperx[365].text 後面接著是新醫療技術再一個登號新醫療服務最後再連接到健康政策或健康系統的範疇就是針對立法說明的部分那我們也提了一個附帶決議到時候再麻煩大家一起來支持 謝謝陳昭志委員 來
transcript.whisperx[366].start 11774.909
transcript.whisperx[366].end 11793.362
transcript.whisperx[366].text 第一條是討論這個業務範圍所以我覺得我寫的是比原來行政院版本清楚多了那就是說請他參考我的修正動議那第一條就是針對衛生醫療政策先有政策嘛才有開始做這些評估跟資源的分配
transcript.whisperx[367].start 11794.202
transcript.whisperx[367].end 11817.804
transcript.whisperx[367].text 進行這個資源分配的評估促進醫療資源的最佳利用這是然後第二個就是現在包括醫療服務還有藥物還有醫療這個科技等等這個評估內容第三個剛剛你們說不宜放在第一條那我也接受就是說具有建構具有苛責性的accountability這個字其實很多用很多年在很多範圍
transcript.whisperx[368].start 11819.245
transcript.whisperx[368].end 11840.853
transcript.whisperx[368].text 醫療科技評估的審議流程機制及方法學確保評估制度符合國際標準不兼具我國的國情因為這個是很關鍵大家可以想到一兆一年一兆的健保資源怎麼分配怎麼讓所有人都大概不滿意還可以接受的情況這個醫療科技評估是非常重要的必須是獨立專業也就是今天我們審查這個組織的組織法的重要目的
transcript.whisperx[369].start 11844.654
transcript.whisperx[369].end 11848.557
transcript.whisperx[369].text 那我第一項是寫持續監測跟評估已採用的醫療科技它是一個持續的過程是個continuous的一個process它持續評估因為不是要做對了一開始做就會是對的是持續評估那當然人才也非常重要第五點是在講人才的部分建立人才的培訓提升相關人員的理解跟應用能力等等而且當然要跟國際接軌
transcript.whisperx[370].start 11868.371
transcript.whisperx[370].end 11878.838
transcript.whisperx[370].text 那第六的部分就是要參與國際的醫療科技組織因為在國際上我們落後太久了其他的國家大概這樣的組織大概都已經行之有年
transcript.whisperx[371].start 11879.813
transcript.whisperx[371].end 11887.838
transcript.whisperx[371].text 那第七點 第三點剛剛課則的部分要請部長特別能夠確認支持第七點也是很重要 訂定公共參與的機制這個幾乎現在 這個公共參與簡單的說 某個程度這個病人或民眾的參與是非常重要的現在任何攸關整個國家資源配置的一個組織
transcript.whisperx[372].start 11900.345
transcript.whisperx[372].end 11918.255
transcript.whisperx[372].text 就是當事人或國民的參與是非常重要所以訂定公眾參與其實符合醫療科技評估社會參與的精神這個要社會參與不是一群專家學者關起門來做評估然後把結果就是丟出去過去比較是這樣的做法所以我這一條的修正動議是大概以這樣的精神來寫再請部長回應 謝謝
transcript.whisperx[373].start 11929.18
transcript.whisperx[373].end 11936.551
transcript.whisperx[373].text 我看修正綜藝你們這個方向就有點不太一樣請內閣部長來做說明
transcript.whisperx[374].start 11942.023
transcript.whisperx[374].end 11955.027
transcript.whisperx[374].text 第一個是有關王振旭委員剛剛所提到把醫療科技評估的範圍把它含納到新醫療技術如果按照醫療法人體試驗所謂的新
transcript.whisperx[375].start 11961.049
transcript.whisperx[375].end 11986.93
transcript.whisperx[375].text 藥品新醫材跟新醫療技術確實是有這個新醫療技術這些比較新的東西所以在立法說明裡面去強調醫療評估的對象我們是用醫療服務因為幾乎上都稱為醫療服務那再把它說明也包含新醫療技術我們覺得是可以在立法說明裡面讓他更清楚我們的競表支持那至於陳昭志委員的修正動議是
transcript.whisperx[376].start 11988.391
transcript.whisperx[376].end 12009.273
transcript.whisperx[376].text 比較複雜不過大致上的精神是相同那麼唯一一個比較特別的地方是陳委員特別強調可克則性的醫療科技評估的審議流程機制之方法學
transcript.whisperx[377].start 12009.994
transcript.whisperx[377].end 12038.493
transcript.whisperx[377].text 那這個倒是可以我們可以考慮在我們的行政院版本的第三條的第一款的部分這裡講的就是那個醫療科技評估的方法跟指引那在這一個這個您的意思應該是在這一個階段就是在出這個科技評估報告它需要是有一個審議的流程機制這個報告
transcript.whisperx[378].start 12040.914
transcript.whisperx[378].end 12064.504
transcript.whisperx[378].text HTA要有它的方法學跟課則性所以我們可以在第一款的部分來做修正就是發展與建立具課則性的醫療科技評估方法及審議機制方法指引及審議機制這樣
transcript.whisperx[379].start 12066.992
transcript.whisperx[379].end 12088.514
transcript.whisperx[379].text 就把您的那個第一款 發展第三條的第一款發展與建立具特責性的醫療科技評估方法指引及審議機制流程機制那個是一樣的審議機制這樣
transcript.whisperx[380].start 12093.229
transcript.whisperx[380].end 12119.799
transcript.whisperx[380].text 謝謝部長把這個課者的概念這樣啦 這條這樣啦這個意見其實也還好啊 他同意可能你個別委員很抱歉 我認過 我知道你就聽我說 我就敘述現狀其他的委員其實跟行政院版本一樣就招致委員你有一些不同的意見那是不是我們這一條先暫保留部長都同意啦
transcript.whisperx[381].start 12120.839
transcript.whisperx[381].end 12147.965
transcript.whisperx[381].text 他沒有全部都同意啦我就要做宣告就是說再跟委員來溝通那並參照委員的意見研擬相關文字再提出來處理啦我們沒辦法用嘴巴講啦到最後一定要提文字修正嘛好不好那我們等一下回頭再來處理這一條先暫時保留主席我們跟教職委員之間有一點點不同那我是不是可以很快簡短的補充那看看教職委員是不是可以同意
transcript.whisperx[382].start 12149.003
transcript.whisperx[382].end 12168.768
transcript.whisperx[382].text 好 謝謝但是也要下出來是 跟昭志委員報告這個第三點的可責性的HTA評估部長已經同意納入我們的機制了那您在第一點寫到衛生醫療政策的資源分配事實上資源分配的責任主要是在健保署跟衛福部
transcript.whisperx[383].start 12169.228
transcript.whisperx[383].end 12193.621
transcript.whisperx[383].text 這一個Chapter主要是做評估讓健保署跟衛福部做資源分配所以可能寫在這裡可能還有待商榷其他您提到的第二點ChapterHTA的支付跟醫療科技審查已經寫在裡面第四點持續評估跟監測這個也寫在裡面第五個醫療科技評估人才並培養具國際視野人才這個寫在我們的第五點
transcript.whisperx[384].start 12194.361
transcript.whisperx[384].end 12216.617
transcript.whisperx[384].text 辦理國內外醫療科技評估交流合作那在您的第七點遞定公共參與的機制這個也符合我們目前Chapter的精神所以不曉得有沒有機會如同部長所說的我們把您說的可克則還有這個審議評估機制及方法學納入我們的第三條作為這一條的共識以上補充 謝謝
transcript.whisperx[385].start 12219.714
transcript.whisperx[385].end 12234.175
transcript.whisperx[385].text 基本上當部長同意把可克者這個重要因為大家都 這很重要啊因為在分配資源所以你可以把克者的概念引進這樣的一個這個精神好 那這樣就大家知道意思
transcript.whisperx[386].start 12235.737
transcript.whisperx[386].end 12253.43
transcript.whisperx[386].text 在場有很多委員我們沒有辦法你們講完什麼到底你們的共識是什麼還是要行之文字好不好這個是審法案裡面這個本來SOP就是要這樣子的不然你們說說而已你們兩個玩意而已我不知道要怎麼跟你們同歸社會還是要把文字寫出來
transcript.whisperx[387].start 12255.585
transcript.whisperx[387].end 12272.778
transcript.whisperx[387].text 來 我先處理程序因為要處理一下會議時間原定會議時間已經到了但是我們要繼續開了所以先處理會議時間我們中午就不休息上午的會議我們就繼續來進行討論事項的處理來 第三條我們就暫保留
transcript.whisperx[388].start 12282.206
transcript.whisperx[388].end 12302.938
transcript.whisperx[388].text 第四條各個提案的條文內容其實都相同我們就按照行政院提案版本通過第五條各提案條文內容均相同我們就按照行政院的提案通過第二張張明各提案的張明均相同我們就按照行政院提案通過
transcript.whisperx[389].start 12304.482
transcript.whisperx[389].end 12320.589
transcript.whisperx[389].text 第6條 除了郭育晴委員等16人提案以外其餘各提案內容相同還有陳昭之委員有提一個修正動議第6條其實也很少
transcript.whisperx[390].start 12334.924
transcript.whisperx[390].end 12353.089
transcript.whisperx[390].text 第幾項 跟主席跟委員報告在第六條郭玉琴委員所提到的要包含並有團體代表或維護並有權益的專業人士我們已經溝通過因為這個就包含在專業人士裡面所以第六條郭委員的部分我們已經溝通過 以上補充好 程昭之委員來 請說明
transcript.whisperx[391].start 12355.054
transcript.whisperx[391].end 12378.665
transcript.whisperx[391].text 你不要說我跟別人不一樣我跟別人不一樣是好事你不要當作是每天都壞事我不會說的不就是壞事我不會說這一點我們有一個重要的修正動議的精神是說董事會的不應該是由透過官方過半的人數來整理那如果直接看數字我們在這個
transcript.whisperx[392].start 12382.887
transcript.whisperx[392].end 12400.178
transcript.whisperx[392].text 我們主張這個官方政府相關機關代表不得超越三分之一但是行政院版是二分之一是官方不得少於官方不得少於這個跟我們是有最大的這個差異也是在這個地方因為整個這個
transcript.whisperx[393].start 12401.759
transcript.whisperx[393].end 12416.506
transcript.whisperx[393].text 這樣的設計當然行政院這樣的設計有助於行政體系掌握但事實上這個醫療科技本身是很高度專業需要獨立判斷的工作在過度受到行政立場或政策的影響我們是盡量能夠避免
transcript.whisperx[394].start 12416.886
transcript.whisperx[394].end 12436.818
transcript.whisperx[394].text 那我要講的是這一點我們參考三分之一報告主席我們這個也有參考來源我們參考國家電影及視聽文化中心的寫法那修法說明第二點也有講可能依然科技評估因為這是個高度專業以及跨領域為了避免董事的運作過度行政化並且提高本這個中心專業判斷獨立性跟社會信任度
transcript.whisperx[395].start 12437.698
transcript.whisperx[395].end 12450.764
transcript.whisperx[395].text 因為你在分配資源你在評估然後可不可以用到這麼寶貴的健保資源所以我們覺得這個社會信任度跟專業獨立性是非常重要的所以我們希望這個由政府相關機關出任的董事比例
transcript.whisperx[396].start 12454.11
transcript.whisperx[396].end 12466.694
transcript.whisperx[396].text 應該是不得預三分之一不得預全人數三分之一其他我們可以邀請學者 專家 社會人士來參與包括剛剛郭育群委員提到的病人代表的部分我們最重要的堅持點在這個地方請部長參考
transcript.whisperx[397].start 12472.83
transcript.whisperx[397].end 12485.031
transcript.whisperx[397].text 好 謝謝 其實這個條文修正動議裡面啦就是三分之一到二分之一這個這樣而已啦 意見都可以你給他比這樣OK什麼意思 來 那個有事要委員
transcript.whisperx[398].start 12488.902
transcript.whisperx[398].end 12509.341
transcript.whisperx[398].text 確實我過去在教育文化委員會那個電影視聽中心確實是有這樣規定那是因為在藝文界的人才的部分好像民間廣納人才但是這個部分我這邊不曉得有沒有行政院的法治的相關人員我們畢竟成立了非常多這樣子的中心組織
transcript.whisperx[399].start 12510.649
transcript.whisperx[399].end 12531.819
transcript.whisperx[399].text 有涉董監事的那剛交資委員提的是這個電影視聽中心的案例啦對於董事會官方代表不得超過二分之一或三分之一就我的印象中好應當二分之一因為要客責嘛政府負責嘛
transcript.whisperx[400].start 12533.396
transcript.whisperx[400].end 12543.666
transcript.whisperx[400].text 所以那個常態的規定哪些二分之一跟三分之一在其他的設立中心有董事會的組成的經驗上是什麼可能大家來參考一下可能周延一點那我想需要有這方面資訊來有利於我們來判斷人種
transcript.whisperx[401].start 12557.601
transcript.whisperx[401].end 12572.784
transcript.whisperx[401].text 在現行的這個設置條例裡面對官方的一個要有設置比例的部分目前是我們檢視初步沒有看到有對於政府機關代表的這個要一定的比例的這部分沒有這樣的一個限制有 我們有把這個條文對照表都有列出來
transcript.whisperx[402].start 12590.001
transcript.whisperx[402].end 12596.227
transcript.whisperx[402].text 如果您的意見的話就是之前的那個電影視聽中心是唯一那現在第二個是唯二嗎是這樣嗎
transcript.whisperx[403].start 12601.623
transcript.whisperx[403].end 12616.945
transcript.whisperx[403].text 陳昭之委員修正案您就是要將政府的保障降低因為這個醫療科技你說大家不辦我也盡量慢慢講不要生氣慢慢講沒有啦 沒有人生氣我是叫你不要氣不噴我才會生氣
transcript.whisperx[404].start 12617.546
transcript.whisperx[404].end 12632.622
transcript.whisperx[404].text 目前很急 我講話比較快我慢一下一兆元的可能將來會更多對金剛投資的部分那他是在決定這個資源有沒有價值去給付該不該付 要不要付 付哪些這個是全民
transcript.whisperx[405].start 12633.343
transcript.whisperx[405].end 12661.914
transcript.whisperx[405].text 都會受到影響所以他不是一個單純的行政工作那為了讓這個結合公共他其實專業包括公衛包括臨床專業健康經濟成本效益分析那病人使用的經驗跟社會價值判斷有些人你看了你覺得他不能他能走出家門他能去上課他能去上班這些過去都沒有在健保新藥新科技的評估考慮範圍過去我們都在考慮錢我有多少錢做多少事
transcript.whisperx[406].start 12662.774
transcript.whisperx[406].end 12687.37
transcript.whisperx[406].text 那好不容易成立了這一個那如果董事會是比較行政機關代表我比較擔心會出現說評估結果就會被行政考量主導那專業意見就淪為諮詢 參考用這樣結果社會對這個評估的信任這個成立它的信任度就是還是降低啦所以我們是這樣子去設計目的就是這樣讓大家都能夠接受也能夠檢測甚至有一定的透明度
transcript.whisperx[407].start 12687.89
transcript.whisperx[407].end 12702.223
transcript.whisperx[407].text 因為這關係每一個人啦老少小 每一個人的現在就是你要把政府的本來是二分之一的現在變三分之一了來 機關再說明那個跟委員說明聚焦啦 好不好 你們聚焦啦
transcript.whisperx[408].start 12703.243
transcript.whisperx[408].end 12732.276
transcript.whisperx[408].text 我們在這個訂定的時候確實也有參考目前已經通過的各個行政法人那麼在行政法人裡面如果涉及到國家高度介入或者是具有特殊敏感性的行政法人那麼政府機關代表都是不得少於二分之一譬如說國家資通安全研究院設置條例那麼第一項第一項都是政府代表
transcript.whisperx[409].start 12732.836
transcript.whisperx[409].end 12746.825
transcript.whisperx[409].text 那麼都不得低於董事總人數的二分之一那麼譬如說在這個國家太空中心設置條例也是不得少於總人數的二分之一那麼
transcript.whisperx[410].start 12748.908
transcript.whisperx[410].end 12768.286
transcript.whisperx[410].text 另外就是比較會涉及到這個高度比較管制的或者是敏感性的大概都會有這樣的考量那因為我們考慮到這個HTA的中心其實他會需要用到我們很多健保的資料也好
transcript.whisperx[411].start 12769.127
transcript.whisperx[411].end 12797.319
transcript.whisperx[411].text 或一些這個醫療的資料是屬於比較高敏感性所以我們才會參考像國家之通安全研究院因為後面的人員也一樣會被管制的他是會被管制的人員所以國家之通安全研究院的設置條例或者是國家太空中心設置條例那麼有這樣的這個政府機關代表不得少於二分之一的條文的
transcript.whisperx[412].start 12798.282
transcript.whisperx[412].end 12801.298
transcript.whisperx[412].text 這個考量以上說明主席請求發言
transcript.whisperx[413].start 12803.38
transcript.whisperx[413].end 12828.967
transcript.whisperx[413].text 張正旭委員說明謝謝剛剛張志祺委員很期待未來這個苛責性透明性透明度都是讓全民可以得到很大的信任可是這個苛責性本身如果連結到我們這個董建市這個任命或者人數的話可能要有一定的一定的可以可以讓他去針對苛責跟負責之間
transcript.whisperx[414].start 12831.408
transcript.whisperx[414].end 12856.611
transcript.whisperx[414].text 要有一個配套或者是要有一個衡平所以我的意思就是說如何能夠讓克則跟這個代表之間有一個衡平性剛剛部長也做了說明我相信剛剛任總那邊也做了說明是不是針對克則性跟這個比例之間有一個更需要讓在這個討論可以更為完整的部分可不可以再提供意見 以上
transcript.whisperx[415].start 12858.732
transcript.whisperx[415].end 12879.538
transcript.whisperx[415].text 關於政府機關代表的這個設置比例的部分大概有兩個方向的一個不同的一個訂定那其中有五個就是法人的部分是有規定說不得低於二分之一就是政府機關代表不得低於五分之一
transcript.whisperx[416].start 12879.858
transcript.whisperx[416].end 12905.467
transcript.whisperx[416].text 二分之一包含住都中心還有文化內容及策進院那再來是資通安全資安院然後再來還有太空中心以及原子能科技研究院這五個設置條例是規定政府機關的代表不得低於總是總人數的二分之一就是不得低於那另外也有規定就是不得超過的不得超過的是包含
transcript.whisperx[417].start 12912.509
transcript.whisperx[417].end 12919.733
transcript.whisperx[417].text 國家運動訓練中心是規定說董事不得超過三分之一那再來還有
transcript.whisperx[418].start 12922.117
transcript.whisperx[418].end 12948.012
transcript.whisperx[418].text 對 政府不得超過三分之一那還有剛剛委員特別提到的這個電影及視聽文化中心這個也是不得超過三分之一那再來還有運科中心這個也是不能超過三分之一那還有另外兩個包含運動產業發展中心跟海洋科技營運中心也都是
transcript.whisperx[419].start 12949.765
transcript.whisperx[419].end 12963.338
transcript.whisperx[419].text 就是在運動產業發展中心也是不能超過三分之一所以它大概有這些不同的方向的一個不同的一個訂定那是依機關的一個需要跟組織的性質來做這樣的一個處理以上報告
transcript.whisperx[420].start 12965.633
transcript.whisperx[420].end 12987.699
transcript.whisperx[420].text 來 機關再說明 就是說不一定要二分之一你們會覺得對於整個法律制定 你們才可以把它達到它的功能啦招致委員是說 我特別三分之一得就是不要說全部都在政府 都是官方在去做主導啦
transcript.whisperx[421].start 12989.387
transcript.whisperx[421].end 12996.217
transcript.whisperx[421].text 兩個不同的邏輯各自言之成理啦但是請你們再說明您可以說服啊 好不好剛剛
transcript.whisperx[422].start 12999.11
transcript.whisperx[422].end 13027.447
transcript.whisperx[422].text 沒關係 他要回應你他要回應你趙執委員謝謝就是趙執委員一開始提到的可克者我們已經納進來也充分理解說這個國家科技醫療評估中心扮演至關重要幾副再幾副 停職幾副的角色但是關於為什麼我們在行政法人的部分目前在部長的指導之下Chapter我們是設定不得低於二分之一我們是比照資通安全研究院原因就在於剛剛部長所提到的我們這個Chapter
transcript.whisperx[423].start 13028.127
transcript.whisperx[423].end 13042.177
transcript.whisperx[423].text 國家科技醫療評估中心會牽涉到我們的99.99全民涵蓋的健保資料庫是特級敏感資料那我們希望政府代表不得低於二分之一維持政府的可克責性以上補充 謝謝
transcript.whisperx[424].start 13045.77
transcript.whisperx[424].end 13063.863
transcript.whisperx[424].text 說服不了我這個跟裡面幾個人一個就要泄密出去了這個有自有規範每個被聘的委員跟董事都簽有一定的規範剛剛我也嘗試說王醫師在說克責當然覺得克責要官員來克責不是你只要有權利去做任何事情做任何提出任何幾乎都是要參考因為等一下後面的幾題我也會提到健保署也顧了很多專家給他意見
transcript.whisperx[425].start 13070.228
transcript.whisperx[425].end 13091.042
transcript.whisperx[425].text 其實這個專家本身也要對他所作所作的評估要負起責然後建議這個要不要給幾付甚至我要合你多少錢這權利很大所以只要這個機制這個課則不是把你抓去關這個課則就基本上你的機制要很清楚你的最好還是透明的然後每一個人的背景都可以被檢驗等等
transcript.whisperx[426].start 13093.184
transcript.whisperx[426].end 13101.952
transcript.whisperx[426].text 這個誰說只有政府可以被課責呢那太多人了那其他人不用被課責他們的課責現在都安裝現在沒有啦 現在名單都是秘密等一下我再遞到 繼續遞好啦 你先喝咖啡啦 吳思瑤你講話不要放
transcript.whisperx[427].start 13107.962
transcript.whisperx[427].end 13122.4
transcript.whisperx[427].text 为什么刚刚我要特别谨慎的请任总再去查清楚他所说的内容因为这就跟我们过去在审查非常多的这种法人的组织在组成董事会的成员他是非常严谨的考量
transcript.whisperx[428].start 13123.121
transcript.whisperx[428].end 13141.633
transcript.whisperx[428].text 所以經過這些報告還有剛剛布里頭的再說明我確實就是更堅定了我的看法我要支持願版正因為這樣一個新設的組織它政府是承擔高度的政治責任而且這高達99.8%的全民健保的這些list資料庫的機敏的資料
transcript.whisperx[429].start 13146.798
transcript.whisperx[429].end 13172.259
transcript.whisperx[429].text 所以說讓政府的所以第一個要跟教資委員報告這個二分之一政府代表要達到二分之一不是這個組織新創而是過去好幾個精明的而且它是涉及國家重要政策發展事項的這些新設的法人組織你看住都中心 文策院當時我們在做這個文化部門的時候確實對於文策院也是討論了很久
transcript.whisperx[430].start 13173.22
transcript.whisperx[430].end 13198.152
transcript.whisperx[430].text 然後再來資安院更不用說太空是因為國家正在發展的重要的太空實力我們不能夠落後國際所以強化對於政府的投入某種程度就是強化對於政府的苛責然後當然還有這個原子能這當然它的重要性也不在話下所以我是希望說招資委員能夠去
transcript.whisperx[431].start 13200.14
transcript.whisperx[431].end 13227.299
transcript.whisperx[431].text 理解大家外界都有一種錯覺是說都是你政府的人所以你就不被監督了反而相反因為你是政府的人來作為這個重要政策重要組織的營運或是決策的時候我們立法委員在監督跟要求反而可以更精準對焦否則當你三分之二都是外部委員的時候我們怎麼克責啊
transcript.whisperx[432].start 13228.752
transcript.whisperx[432].end 13250.565
transcript.whisperx[432].text 我們可以把外部委員請來立法院監督嗎所以這個是一種比較長期會存有的一些些的不同的想法所以我是希望這個機關的重要性特殊性重大健康政策的進步性我們擴大的民間參與的同時我們絕對願意去延攬民間的專家
transcript.whisperx[433].start 13255.127
transcript.whisperx[433].end 13270.474
transcript.whisperx[433].text 但是對於政府要承擔政策的責任的這一項站在立法院監督的角色我是希望比照其他的法人組織我們一樣政府的機關人員還是要達到過半的比例這是我的思考這條
transcript.whisperx[434].start 13277.219
transcript.whisperx[434].end 13281.245
transcript.whisperx[434].text 我不是不跟你說,你要說什麼我都可以說問題是大家都說不通,連口仔都沒意思我把這條先暫保留,等下回來再處理
transcript.whisperx[435].start 13302.389
transcript.whisperx[435].end 13309.654
transcript.whisperx[435].text 第七條 第七條各提案的條文內容均相同我們就按照行政院的提案通過
transcript.whisperx[436].start 13311.072
transcript.whisperx[436].end 13338.758
transcript.whisperx[436].text 第八條各提案的條文內容也都一樣我們就按照行政院的提案通過第九條各提案的條文內容都一樣大家看一下長得一模一樣就按照行政院的提案通過第十條各提案的條文內容也均相同就按照行政院的提案通過第十一條各提案的條文內容均相同按照行政院提案通過第十二條
transcript.whisperx[437].start 13339.778
transcript.whisperx[437].end 13363.056
transcript.whisperx[437].text 各提案條文內容均相同按照行政院提案通過第十三條各提案的條文內容均相同按照行政院提案通過第十四條各提案條文內容均相同按照行政院提案通過第十五條除了郭玉琴委員等16人提案以外其餘各提案內容均相同郭玉琴委員
transcript.whisperx[438].start 13370.242
transcript.whisperx[438].end 13390.339
transcript.whisperx[438].text 主席還有委員跟在座各位委員報告在這一題呢我們去看過我們目前政府所有的行政法人目前全部都是寫說應該要親自出席列席董事會議不得委託他人代理所以我們是比照其他的行政法人那郭委員那邊我們已經溝通過以上補充 謝謝
transcript.whisperx[439].start 13391.567
transcript.whisperx[439].end 13420.709
transcript.whisperx[439].text 好第15條按照行政院提案通過第16條各提案條文內容均相同按照行政院提案通過第17條各提案條文內容均相同按照行政院提案通過第18條各提案條文內容均相同按照行政院提案通過第19條各提案的條文內容均相同按照行政院提案通過20條各提案條文內容均相同按照行政院提案通過
transcript.whisperx[440].start 13422.31
transcript.whisperx[440].end 13445.736
transcript.whisperx[440].text 21條 各提案條文內容均相同 按照行政院提案通過第三章 各提案的章名均相同 按照行政院提案通過22條 各提案的條文內容均相同 按照行政院提案通過23條 各提案的條文內容均相同 按照行政院提案通過
transcript.whisperx[441].start 13446.536
transcript.whisperx[441].end 13474.351
transcript.whisperx[441].text 24條各提案的條文內容均相同按照行政院提案通過25條各提案的條文內容均相同按照行政院提案通過第四張章的章名各提案的章名均相同按照行政院的提案通過26條各提案的條文內容均相同按照行政院提案通過27條各提案條文內容均相同按照行政院提案通過
transcript.whisperx[442].start 13476.072
transcript.whisperx[442].end 13499.208
transcript.whisperx[442].text 28條各提案的條文內容均相同 按照行政院提案通過29條各提案的條文內容均相同 按照行政院提案通過30條各提案的條文內容均相同 按照行政院提案通過31條各提案的條文內容均相同 按照行政院提案通過
transcript.whisperx[443].start 13501.63
transcript.whisperx[443].end 13519.098
transcript.whisperx[443].text 32條各提案的條文內容均相同我們就按照行政院的提案通過第5章的張明各提案的張明均相同我們按照行政院提案通過33條各提案條文內容均相同按照行政院提案通過
transcript.whisperx[444].start 13522.102
transcript.whisperx[444].end 13534.039
transcript.whisperx[444].text 34條各提案條文內容均相同我們就按採行政院的提案通過35條各提案條文內容均相同按照行政院提案通過
transcript.whisperx[445].start 13541.718
transcript.whisperx[445].end 13556.407
transcript.whisperx[445].text 來 第三條討論事項第五案修正動議二這是第三條陳昭之委員修正動議請宣讀修正動議二 第三條
transcript.whisperx[446].start 13558.871
transcript.whisperx[446].end 13572.071
transcript.whisperx[446].text 第一項第一款修正委發展與建立具科則性質醫療科技評估方法指引及審議機制與同行政院提案提案人陳昭芷等人宣讀完畢
transcript.whisperx[447].start 13578.732
transcript.whisperx[447].end 13589.836
transcript.whisperx[447].text 這樣就 大家看一下啦就給那個第一款的修正啦我告訴你 你們有夠厲害的啦給他講一下就通過了 你們就看好 那我們就按照修正動議通過滴落 滴落掉 要再講一下嗎阿咖啡喔 你們就講一下有結論的 好不好那是看你們怎麼有人喝的
transcript.whisperx[448].start 13612.051
transcript.whisperx[448].end 13636.724
transcript.whisperx[448].text 主席我再多插一句話因為可以看這個剛剛已經通過的第20條這個本中心的人員他都有一般查安全查核跟特殊安全查核的規定而且情節重大的還要送移送監察院依法辦理等等這一些這些安全查核不是所有的行政法人都有這個機制是這個比較特殊的所以因為他會接觸到這個
transcript.whisperx[449].start 13638.385
transcript.whisperx[449].end 13664.963
transcript.whisperx[449].text 等同像這個健保一樣的這個健保資料資料庫那甚至他要去連結其他的資料庫所以他真的是需要叫一般的這個行政法人的監督要更強度更高所以我們是希望委員能夠支持在董事會裡面那麼以政府機關代表的董事能夠那麼二分之一這樣
transcript.whisperx[450].start 13666.089
transcript.whisperx[450].end 13667.133
transcript.whisperx[450].text 主席要聽我講話了我講白話我講白話多迷人請講
transcript.whisperx[451].start 13672.318
transcript.whisperx[451].end 13698.226
transcript.whisperx[451].text 那個苛責 苛責的意思其實是指整個決策過程剛剛那個部長講的是說已經做壞事了他把東西偷走了或過去確實有健保健保祖密這樣把他帶出去尤其情資人員給對案那是非常恐怖的事我現在講我們的苛責觀念是指說你整個決策你整個評估結果或是你使用的標準等等那是一個比較透明的方式一個大家可以去驗證檢驗的方式概念在這個地方
transcript.whisperx[452].start 13701.048
transcript.whisperx[452].end 13721.248
transcript.whisperx[452].text 我想你問任何一個病人他們都不會清楚為什麼你的藥 我跟你一樣的病你的藥有幾副 我的藥沒有幾副這個是很常見甚至我自己要下去自費等等我是用最簡單的比喻所以基本上只要任何人你有去參與做這個決策的過程那你就要遵循一定的方法
transcript.whisperx[453].start 13722.049
transcript.whisperx[453].end 13748.534
transcript.whisperx[453].text 譬如說這個藥在臨床上有所突破還是說比現在跟差不多還是一樣那為什麼我只納入你沒有納入別人我先舉例譬如說現在以藥品來說它有個適應症就是公法定的這個用途但是我們健保在癌症的部分在頂多只付三分之一百分之三能夠被給護照罕病更少當然貴嘛再放在這個大概只有兩成左右但你這個絕熱過程怎麼選擇怎麼調整
transcript.whisperx[454].start 13751.114
transcript.whisperx[454].end 13775.568
transcript.whisperx[454].text 你跟他說你愛什麼你愛什麼我要保持那個嗎是啦 你愛目的 你要愛什麼機關在回應你想要怎麼樣我們叫專家的比例比較高是 我們一個條文制定的意義就是說我要達到什麼樣的目的你現在的缺漏到底是怎麼樣你說機關現在的說明沒有辦法滿足你嘛不好意思你提出來說你現在要愛他沒辦法滿足你
transcript.whisperx[455].start 13778.991
transcript.whisperx[455].end 13791.999
transcript.whisperx[455].text 哪一部分不好意思 我講這個話重一點官官相護啦官官相護不是滿足的問題啦我的意思就是說我希望外部的參與戰略比較高啦OK 這樣我聽好來 機關再回應機關再說明一下我們還是這個對委員同樣啦這個 我們這個這個行政法人的很多條文的比例原則的設計呢都是高度
transcript.whisperx[456].start 13809.725
transcript.whisperx[456].end 13825.022
transcript.whisperx[456].text 這個監管啦所以希望能夠維持政府機關代表能按有二分之一比照這個資通安全研究院的規格我算 趙指揮我算孤注你知道嗎我聽你們外國人在這裡說來 培宇委員講完再請施堯委員
transcript.whisperx[457].start 13825.831
transcript.whisperx[457].end 13848.369
transcript.whisperx[457].text 好 其实赵志伟刚刚讲到两个部分我其实也很想厘清像主席你问的一样因为赵志伟刚刚说例如说寒病的用药或者是癌症的用药其实能够被接触的很少你刚刚有提到这个例子所以你认为在这个审议过程的结果之后如果当事人或者是相关人士对于这个审议的结果有疑义你觉得大家好像可以提出来
transcript.whisperx[458].start 13849.209
transcript.whisperx[458].end 13877.356
transcript.whisperx[458].text 所以你好像是針對這個部分你覺得苛責的部分不足我不確定因為你一直在講苛責這個比例至於所謂的公部門派去的人這個比例我覺得有一個問題是大家必須要考量的因為我們在立法院待這麼多年其實相關的預算其實是由相關行政機關來理解或者是把關或者是審議如果我們都完全沒有相關行政機關的人或是比例太低沒有辦法表達出行政機關的立場
transcript.whisperx[459].start 13878.536
transcript.whisperx[459].end 13906.438
transcript.whisperx[459].text 那我覺得那個在比例上其實會有很大的困境啦那我當然認同趙思維委員的人道關懷跟人權的關懷我完全可以理解那只是說行政機關的角色他們所能夠呈現出來看到預算的或者是政策的走向或者是預算的使用合理性所以我認為行政為不不堅持相關的比例應該還是有其原因的那當然這是我的猜測因為我們在不同的委員會不同的法人機構裡面也會看到不同的組成比例
transcript.whisperx[460].start 13906.858
transcript.whisperx[460].end 13936.364
transcript.whisperx[460].text 所以我想就還是讓衛福部說明他們之所以有這個在意的點到底是什麼謝謝來主席不在因為他是說講話換我這樣子好那就請市長委員來幫忙發言我是立法委員我們在立法院是我們唯一能夠透過審查法案審查預算或是排案來監督政策來watch替人民行使權利去
transcript.whisperx[461].start 13937.825
transcript.whisperx[461].end 13950.344
transcript.whisperx[461].text 苛責行政部門該承擔的政策責任那如果說一個組織他的董事會他的重要的決策的那個核心政府部門反而變成少數了那我來苛責他
transcript.whisperx[462].start 13953.601
transcript.whisperx[462].end 13979.743
transcript.whisperx[462].text 有一些意見覺得說你這個中心跟當初的執行背道而馳喔那怎麼會這樣然後未來這個東西中心的董事長說不然我當事會就這樣決定這是會發生的喔所以說比照太空中心資安駐都中心文策院文策院非常重要喔他是把我們對於文化藝術的從過去的執走補助一軌現在改成
transcript.whisperx[463].start 13980.403
transcript.whisperx[463].end 13991.618
transcript.whisperx[463].text 外加投資一軌這是一個新的政策方向所以國家要去為自己的新新的政策方向去負起責任take responsibility
transcript.whisperx[464].start 13992.819
transcript.whisperx[464].end 14010.208
transcript.whisperx[464].text 所以說tech responsibility跟你的accountability其實我覺得是同一件事我反而不會認為說像交資委員覺得說你政府占多了所以說你的席次過二分之一我反而好像沒有辦法watch到你我真的這個思維反而是顛倒的
transcript.whisperx[465].start 14010.948
transcript.whisperx[465].end 14035.217
transcript.whisperx[465].text 那另外我要說也許有另外一種方式好招資委員想的是說讓民間的人多參與這個方向我們沒有反對那你現在的董事設11到15人我舉例啦要不你讓董事的員額增加多一點點好比如19到20然後一樣維持政府的這個比例政府還是
transcript.whisperx[466].start 14036.676
transcript.whisperx[466].end 14050.3
transcript.whisperx[466].text 負全責嘛行政責任負全責嘛但是為了增加多一點人來參與民間的專家的話那如果在設置的人數上做一些調整會不會是一個讓交資委員也接受的這樣子謝謝吳委員的發言
transcript.whisperx[467].start 14060.827
transcript.whisperx[467].end 14075.077
transcript.whisperx[467].text 剛剛大家都可以舉很多的機關當然我們也舉運動訓練中心因為那也是高度專業的他們裡面也是三分之一剛剛我也提到國家電影跟視聽化中心也是三分之一那這個醫療科技
transcript.whisperx[468].start 14077.008
transcript.whisperx[468].end 14090.58
transcript.whisperx[468].text 真的今天為什麼要設計醫療可以本來我們就有一個醫療評估小組已經服務健保署所需要的因為業務的推展等等都已經從2007年11月開始已經服務了大概18、9年了
transcript.whisperx[469].start 14092.361
transcript.whisperx[469].end 14096.166
transcript.whisperx[469].text 那為什麼今天要成立這個就是保證他的一個專業跟獨立性然後這個現在大家國民對這些過程對他最後分配的資源他盡了義務等等也是非常高度重視不過不會像裴委員講的不是每一個人他說為什麼我要沒有我剛剛強調的其實是說
transcript.whisperx[470].start 14112.2
transcript.whisperx[470].end 14133.296
transcript.whisperx[470].text 這個要由專家學者在裡面的過程當中他們其實在一個相對決策是透明的有標準機制是可以被討論的情況之下他們做出這個決定老實說我最後這幾年在健保署看的我必須說你們聘了三四十個委員在現場最後都是幾個官員說了算
transcript.whisperx[471].start 14135.339
transcript.whisperx[471].end 14163.578
transcript.whisperx[471].text 因為大家就轉向你啊沒錢啊 現在多少錢 你就做最後決定連主持人主持完講完 講完喔那因為我當立委後 後來我被開除OK 但第一年沒有被開除之前我還是參加 然後我把主持人辭掉連主持人 我看到嚇一跳每個主持人主持完那個專家會議然後最後說 請問健保署的意見是什麼把我嚇到啦他就算三四個人是當然委員因為職位相關 即便在場幾十個委員
transcript.whisperx[472].start 14165.39
transcript.whisperx[472].end 14193.409
transcript.whisperx[472].text 那都可以也是可以這樣子做啊大家就聽所以基本上是這個是一個非常重要的時刻了也很感謝說能夠推出來本來你是在去年要推出來了那現在今年推出來了我們這個資源我們不能好好做一個典範嗎其實在很多先進國家他們討論很多包括疫苗的通過包括整個這個一個一個授權都是透明公開的那我們今天不是我今天剛才強調那個機制標準有一定的方法其實是那個背景專家學者不是指病人
transcript.whisperx[473].start 14193.869
transcript.whisperx[473].end 14198.111
transcript.whisperx[473].text 病人是他是參與可能一兩個角色我講的專程是健康經濟公共衛生這個成本效益評估等等其他的國家都可以參考 很好聽到沒有人的意見
transcript.whisperx[474].start 14209.907
transcript.whisperx[474].end 14227.652
transcript.whisperx[474].text 我想舉一個例子不好意思 發便當 邊吃飯邊講我想講一個例子其實不管在民間的任何專家學者都有機會成為官方委託的所謂官派的代表
transcript.whisperx[475].start 14228.192
transcript.whisperx[475].end 14253.696
transcript.whisperx[475].text 所以他的专业并不因为他今天坐在所谓民间这一排或者是官派代表那一排而有所减损所以我其实没有办法直接的接受刚刚赵斯委员直接用官官相互来控诉这件事情那也因为他即将要成相关的法理要成立那我认为站在支持相关的版本的前提下而且也请赵斯委员信任
transcript.whisperx[476].start 14254.236
transcript.whisperx[476].end 14272.302
transcript.whisperx[476].text 所有這些官派的代表也請信任相關行政機關他絕對不會找一個阿貓阿狗放進來然後你認為他是不合格的我認為每一個人在自己的專業的位置上都有不同的視角去切入去看你剛剛所在意的這些事情而不是只是用一個官官相互就認為您所提的比例就一定是對的 以上委員
transcript.whisperx[477].start 14276.221
transcript.whisperx[477].end 14290.96
transcript.whisperx[477].text 教育委員 我很認真的在想達到彼此的共識那剛剛也跟崇良部長商量了一下最後倒數第二項我們如果從現在的
transcript.whisperx[478].start 14293.061
transcript.whisperx[478].end 14307.638
transcript.whisperx[478].text 行政院的版本不得官方董事不得少於董事總人數的二分之一我們把它改成不得超過董事人數的二分之一就是說你保持二分之一的這一個
transcript.whisperx[479].start 14309.599
transcript.whisperx[479].end 14333.069
transcript.whisperx[479].text 這個比例因為真的是比照資安會啦太空中心這個重要國家的新興的重要領域的發展好那個1%把它維持但是從不得少於調整為不得超過他就是有一些不得欲啦這個就有差別了好不好我覺得石部長也充分的
transcript.whisperx[480].start 14334.542
transcript.whisperx[480].end 14353.576
transcript.whisperx[480].text 往您的方向來推進不得欲 董事總人數的二分之一因為那二分之一 那不要動它啦我剛才說的 跟其他的單位那個重要機敏的 重要國家政策的部分齊平 那二分之一不要動但是我們很努力的達到 您所希望的那個方向
transcript.whisperx[481].start 14354.517
transcript.whisperx[481].end 14371.611
transcript.whisperx[481].text 所以我覺得這樣應該是大家可以compromise而且彼此都尊重的方法 好不好謝謝 吳思耀委員 早知我看這樣好了你看看 執政黨對於哪好就好你的案子沒那麼多成案的都大家跟你簽的 你知道嗎我拜託大家要配合你
transcript.whisperx[482].start 14377.161
transcript.whisperx[482].end 14384.513
transcript.whisperx[482].text 謝謝你啦 讓我另外一個案子讓你們怕被羞辱到不行那就不敢了 你在亂講你每次都說我們兩個人好都不可以支持我們兩個人好 你也不支持過民進黨
transcript.whisperx[483].start 14390.571
transcript.whisperx[483].end 14398.674
transcript.whisperx[483].text 有共識的事情我們就做啦有共識的事情我們就做啦有共識的事情我們就做啦有共識的事情我們就做啦有共識的事情我們就做啦有共識的事情我們就做啦有共識的事情我們就做啦
transcript.whisperx[484].start 14411.278
transcript.whisperx[484].end 14439.528
transcript.whisperx[484].text 其實王正旭委員他知道我在講什麼啦他也進入比較短的一段時間啦我們都是真的為了讓病人能夠有一個比較合理公平的使用嘛每一個人都可能是病人嘛每一個人都可能是進入這個狀況我們希望有一個比較符合醫療科技方的評估所以現在你們是說不得少於改成欲不得超過嘛就是欲不能超過那也可以等於嗎
transcript.whisperx[485].start 14441.38
transcript.whisperx[485].end 14470.222
transcript.whisperx[485].text 不超过那也是等于哦也是等于哦等于有一半了但是就是1比1啦没有超过啦至少就是1比1不会是还是有差别的还是有差别的官方就是还是会以这个那我们就按照不得欲是不含本术不得欲OK但是不得欲的解读要解读对哦
transcript.whisperx[486].start 14472.04
transcript.whisperx[486].end 14495.818
transcript.whisperx[486].text 這樣啦 按照成招之委員的修正動議但是那個不得遇董事總人數該二分之一啦好不好 這樣可以啦好 那我們就通過就是這個面子是給莊瑞雄招委員這是大家共事 好不好 大家幫你洗腦
transcript.whisperx[487].start 14500.423
transcript.whisperx[487].end 14507.755
transcript.whisperx[487].text 我在裡面很久我真的是清楚我另外一個法要釋法我反而跑來這裡機關這邊擰一下給陳昭志委員簽一下
transcript.whisperx[488].start 14521.11
transcript.whisperx[488].end 14534.242
transcript.whisperx[488].text 我們現在處理委員針對第五案所提的附帶決議共兩案請一併宣讀 宣讀後在主案來進行處理 請宣讀宣讀討論事項第五案附帶決議共兩項附帶決議一略以
transcript.whisperx[489].start 14540.253
transcript.whisperx[489].end 14555.921
transcript.whisperx[489].text 要求本條例第六條所涉董事會聘任之學者專家不得同時為衛生福利部含轄下機關之諮詢專家提案人陳昭芝等人附帶決議二略移為因應科技
transcript.whisperx[490].start 14556.786
transcript.whisperx[490].end 14556.826
transcript.whisperx[490].text 這樣這個不就
transcript.whisperx[491].start 14589.241
transcript.whisperx[491].end 14589.721
transcript.whisperx[491].text 這裏附帶決議 有沒有意見好 那我們就附帶決議啊好 那我們就召喚通過
transcript.whisperx[492].start 14611.892
transcript.whisperx[492].end 14632.439
transcript.whisperx[492].text 那附帶討論事項第五案的附帶決議第二王正旭委員的提案大家有意見嗎 衛務部機關有沒有意見遵照辦理那我們就召喚通過這是第六第五案 第五案在修正那邊那個修正東西簽名誰再說第五案他不簽名他現在吃不動沒有聽
transcript.whisperx[493].start 14641.904
transcript.whisperx[493].end 14650.328
transcript.whisperx[493].text 討論事項第五案修正動議三第六條第
transcript.whisperx[494].start 14670.782
transcript.whisperx[494].end 14699.705
transcript.whisperx[494].text 第二項修正為前項第一款是董事不得與董事總人數二分之一提案人陳昭芝等人宣讀完畢第六條我們就按照陳昭芝委員的提案修正通過
transcript.whisperx[495].start 14707.608
transcript.whisperx[495].end 14718.27
transcript.whisperx[495].text 本案逐條均已處理完畢 來做以下宣告本案審查完畢 擬拒審查報告提請院會公決本案是否交由黨團協商好 那本案就不須交由黨團協商院會討論時由莊召集委員
transcript.whisperx[496].start 14737.592
transcript.whisperx[496].end 14757.234
transcript.whisperx[496].text 需要 需要 需要 需要 需要 需要這個附帶要簽嗎 法案要交由黨團協商那院會討論時由莊召及委員瑞雄出席說明附帶決議兩項一併提報院會來處理條次引述條文部分文字及法制用語授權主席跟議事人員來整理
transcript.whisperx[497].start 14759.517
transcript.whisperx[497].end 14779.054
transcript.whisperx[497].text 那我們現在來討論事項第六案 病案審查行政院函請審議國家中醫研究院設置條例草案等14案請問在場委員是不是要進行大力討論我們直接進入主條的審查來 現在修正動議先宣讀
transcript.whisperx[498].start 14788.707
transcript.whisperx[498].end 14808.929
transcript.whisperx[498].text 討論事項第六案修正動議一第三條增訂第二項為本院依前項任務之需要得附設相關機關及場館相關機關相關機構及場館之設置應兼顧並促進區域均衡之發展提案人陳穎等人選舉完畢
transcript.whisperx[499].start 14819.473
transcript.whisperx[499].end 14841.598
transcript.whisperx[499].text 現在名稱的部分我們是不是就按照行政院的提案通過沒有意見的話我們就按照行政院提案通過第一張張明各提案的張明都相同我們就按照行政院的提案通過第一條
transcript.whisperx[500].start 14844.076
transcript.whisperx[500].end 14861.425
transcript.whisperx[500].text 第一條我們就按照行政院的提案通過第二條呢按照行政院的提案通過第三條就陳穎委員等四人所提修正動議大家有看到嗎
transcript.whisperx[501].start 14870.023
transcript.whisperx[501].end 14874.044
transcript.whisperx[501].text 來 稱營委員的修正動議就增加了第二項本院依前項任務之需要得附設相關機構及場館相關機構及場館就設置應兼顧並促進區域均衡之發展請問機關有沒有意見
transcript.whisperx[502].start 14899.403
transcript.whisperx[502].end 14921.858
transcript.whisperx[502].text 陳毅委員的修正動議我們原則上是支持就是預留了未來發展的需要但是文字的部分是不是說得附設相關機構及場館就好那個什麼相關機構及場館是設置應兼顧並促進區域
transcript.whisperx[503].start 14923.659
transcript.whisperx[503].end 14926.04
transcript.whisperx[503].text 這個均衡式發展可以在立法說明裡面去強調就好
transcript.whisperx[504].start 14950.928
transcript.whisperx[504].end 14958.856
transcript.whisperx[504].text 這樣你們也 你們不要都這樣好不好 你們搞不好要有一個文字站起來站起來我就幫你們簽 有動的我就替你們簽這樣這條先暫保留 你們先把文字擬一下
transcript.whisperx[505].start 14983.049
transcript.whisperx[505].end 14986.335
transcript.whisperx[505].text 第四條我們就按照行政院的提案通過
transcript.whisperx[506].start 15016.572
transcript.whisperx[506].end 15021.536
transcript.whisperx[506].text 有關第四條我做更正行政院你現在又提了一個修正條文
transcript.whisperx[507].start 15023.786
transcript.whisperx[507].end 15050.696
transcript.whisperx[507].text 要簽 要簽 要簽沒有看到條文主席只能這樣處理你們要做修正東西一定要看到文字等一下 等一下你們是要按原提議還是你們的修正我們的修正
transcript.whisperx[508].start 15054.574
transcript.whisperx[508].end 15058.335
transcript.whisperx[508].text 你委員的心都用嘴講的就有尊嚴嗎我們這裡沒有人嘴講的尊嚴
transcript.whisperx[509].start 15081.671
transcript.whisperx[509].end 15107.603
transcript.whisperx[509].text 跟委員說明第四條本來行政院的版本第一項有叫做得負責宜蘭病症中醫研究教學醫療機構那其他的委員都是希望說不要只限於宜蘭病症可以是中醫教學研究醫療機構我們競表同意那麼第二個是我們希望
transcript.whisperx[510].start 15108.283
transcript.whisperx[510].end 15131.548
transcript.whisperx[510].text 在這個訂定前項的醫療機構的時候要有一些管理跟監督的規章經這個董事會通過後來被查那這樣的修正的文字剛好跟羅廷偉委員的版本是一致所以是不是就直接按羅廷偉委員版本通過就可以
transcript.whisperx[511].start 15138.019
transcript.whisperx[511].end 15160.407
transcript.whisperx[511].text 他跟羅廷輝委員的版本一樣這樣你們建議這條你們是同意羅廷輝委員的版本喔我們如果修正後的文字就是跟羅廷輝委員版本的文字是一樣的就是把那個宜蘭雜症那幾個字刪除
transcript.whisperx[512].start 15162.008
transcript.whisperx[512].end 15168.313
transcript.whisperx[512].text 那剛好羅廷偉委員的版本跟行政院的版本就是差那幾個疑難雜症疑難病症
transcript.whisperx[513].start 15175.58
transcript.whisperx[513].end 15191.458
transcript.whisperx[513].text 沒有啦 我知道你們的意思啦 我的意思是說你們整個 不管你們要叫誰 議會你轉播啦不然你要照完正序 要照林月琴照誰的版本你除非全部都照他的版本 你要三日你應該要重新擬文字上來
transcript.whisperx[514].start 15229.363
transcript.whisperx[514].end 15233.264
transcript.whisperx[514].text 因為第四條已經有羅廷萬委員的版本就是這個文字了
transcript.whisperx[515].start 15247.216
transcript.whisperx[515].end 15264.997
transcript.whisperx[515].text 是啦 我的意思是說你們自己有版本 別人有的 我本來是叫你們的通過你們現在要別人的 你們先說就好 就是說你不要用你行政院的版本現在就是這個第四條就按照羅廷偉委員的版本通過 在場有沒有意見好 那我們就通過
transcript.whisperx[516].start 15297.649
transcript.whisperx[516].end 15299.35
transcript.whisperx[516].text 這樣現在的你這個
transcript.whisperx[517].start 15301.172
transcript.whisperx[517].end 15323.94
transcript.whisperx[517].text 各委員的提案裡面喔那很多行政院沒有相對應的條文喔現在鍾嘉斌委員第四條的提案陳穎委員 葉元之委員莊瑞雄委員 劉建國委員林月琴委員 沈發衛委員王玉銘委員 張雅玲委員現在其他的頒布的都不予採納喔就這樣 好不好
transcript.whisperx[518].start 15335.341
transcript.whisperx[518].end 15363.134
transcript.whisperx[518].text 來 第五條 我是要幫你們捧場的 你們的案子總要給我繪起來來 第五條 按照行政院的提案通過第六條 按照行政院提案通過第二章的張明 各提案張明均相同 按照行政院提案通過第七條 按照行政院提案通過第八條 按照行政院提案通過第九條 按照行政院的提案通過
transcript.whisperx[519].start 15366.462
transcript.whisperx[519].end 15383.244
transcript.whisperx[519].text 第十条按照行政院提案通过第十一条按照行政院提案通过第十二条按照行政院提案通过第十三条按照行政院提案通过第十四条按照行政院提案通过第十五条按照行政院提案通过
transcript.whisperx[520].start 15384.695
transcript.whisperx[520].end 15408.692
transcript.whisperx[520].text 这是15 16 16条按照行政院的提案通过第17条按照行政院的提案通过18条按照行政院提案通过第19条按照行政院的提案通过第20条按照行政院提案通过而第三张张明的按照行政院的提案通过
transcript.whisperx[521].start 15410.623
transcript.whisperx[521].end 15429.394
transcript.whisperx[521].text 21条就按照行政院的提案通过22条按照行政院提案通过23条按照行政院提案通过第4张张明按照行政院提案通过第24条按照行政院提案通过25条按照行政院提案通过
transcript.whisperx[522].start 15431.074
transcript.whisperx[522].end 15444.717
transcript.whisperx[522].text 26條按照行政院提案通過27條按照行政院提案通過28條按照行政院提案通過29條按照行政院提案通過30條按照行政院提案通過報告主席來是財政部代表發言
transcript.whisperx[523].start 15459.572
transcript.whisperx[523].end 15459.981
transcript.whisperx[523].text 好來去健康
transcript.whisperx[524].start 15461.624
transcript.whisperx[524].end 15488.998
transcript.whisperx[524].text 在中醫藥的條文第15條的部分在第15條的第一項第二款有提到就是因為依照行政院版本條草案的立法說明第一項是在訂名國家中醫藥研究院董事等人除今董事會特別局議同意之外原則是不可以跟中醫藥研究院進行買賣租賃承攬等交易的這些行為
transcript.whisperx[525].start 15492.51
transcript.whisperx[525].end 15506.777
transcript.whisperx[525].text 是 對 那這個部分因為它現在這個第一項第二款的文字是提到說執行國家建設公共政策公益用途申請承租承購委託經營改良利用國有非公用不動產
transcript.whisperx[526].start 15507.757
transcript.whisperx[526].end 15523.163
transcript.whisperx[526].text 我們這邊要說明的是國有非公共不動產的管理機關是只有財政部國有財產署所以以行政院版本的草案的文字來看的話這一條的用意應該是要指的是說董事等人要
transcript.whisperx[527].start 15523.843
transcript.whisperx[527].end 15540.475
transcript.whisperx[527].text 成租成購的這些財產應該是國家中醫藥研究院的財產而不是國有非公用不動產所以中醫研究所他們之前在會前已經有洽本署這邊他們有做一個條文的一個修正那是不是可以請衛福部這邊做代表做說明
transcript.whisperx[528].start 15543.504
transcript.whisperx[528].end 15570.465
transcript.whisperx[528].text 來 請機關說明確實我們的考量有這些例外但是可能未來不夠完善所以我們同意把它修正依照公職人員利益衝突迴避法第14條第一項但書規定的情形就不再直線我們有一個修正的文字在請委員簽署部長你都要打屁股
transcript.whisperx[529].start 15571.186
transcript.whisperx[529].end 15572.367
transcript.whisperx[529].text 我一條一條給你們蒙耶我一條一條給你們蒙 蒙到你們大家你們是在修正文字趕快弄上來再來做更正
transcript.whisperx[530].start 15716.028
transcript.whisperx[530].end 15721.882
transcript.whisperx[530].text 衛福部你們要特別留意一下我們在審任何的法案都是院會交付
transcript.whisperx[531].start 15724.421
transcript.whisperx[531].end 15749.077
transcript.whisperx[531].text 教員教父喔 你們現在說的是你們自己說的喔你們自己說的 你要有提案啦 一定要有提案啦你沒有一個提案之後 我給你宣讀的是都照行政院提案通過耶 不是照你們修正通過耶你們修正那是不好的耶 那是你們自己開槓而已你一定要有一個提案修正通過好不好 不要這樣啦 那麼多條文講過那麼多次了
transcript.whisperx[532].start 16442.31
transcript.whisperx[532].end 16448.833
transcript.whisperx[532].text 好,來,請就座。那增加的修正動議,幾個字。好,沒有關係,所有增加的修正動議請宣讀。
transcript.whisperx[533].start 16474.762
transcript.whisperx[533].end 16503.391
transcript.whisperx[533].text 討論事項第六案修正動議二第十五條第一項修正為董事兼是院長或該等職務相當之人及其關係人不得與本院為買賣 租賃承攬或其他教育行為但有公職人員立從土匪閉法等十四條第一項單書規定之情形經董事會特別決議者不在此限提案人王正旭等人
transcript.whisperx[534].start 16505.345
transcript.whisperx[534].end 16533.024
transcript.whisperx[534].text 修正動議三第29條第一項本院所舉借之債務以具自償性質者為限應並應先送監督機關核定第二項預算執行結果有不能自償之餘時應即檢討提出改善措施報監督機關核定提案人王正旭等人
transcript.whisperx[535].start 16537.355
transcript.whisperx[535].end 16563.416
transcript.whisperx[535].text 宣誓動議是第二項修正為前向人於退休之前生肖日及七個月內在任公務人員退休之前撫恤法以下簡稱退撫法第七十七條第一項各款所列職務之一且每月之齡薪酬總額超過同條所定金額時應由在任機關扣除其退休之前月數之縫及總額
transcript.whisperx[536].start 16566.758
transcript.whisperx[536].end 16595.255
transcript.whisperx[536].text 未住經後收繳其餘額並繳回監督機關提案人王正旭等人修正動議五第34條修正為原機關現有依聘用人員聘用條例聘用之人員以下簡稱聘用人員其聘用契約尚未期滿且不願隨同移轉本院者與機關改制之日辦理離職
transcript.whisperx[537].start 16597.146
transcript.whisperx[537].end 16620.066
transcript.whisperx[537].text 處依各機關學校聘僱人員離職給予辦法判以外並依其最後在職月資報酬為計算標準也是交發七個月之月資報酬但契約將屆滿人員依其提前離職之月數發給之潛下等於離職生肖日期七個月內
transcript.whisperx[538].start 16621.365
transcript.whisperx[538].end 16644.982
transcript.whisperx[538].text 在任推伏法第七條第一項各款所列職務之一且每月資領薪酬總額超過同條所定金額時應在任機關扣除離職月數之月之報酬後收繳其餘額並繳為監督機關原機關聘用人員於機關改制之日隨同移轉本院者
transcript.whisperx[539].start 16646.227
transcript.whisperx[539].end 16673.276
transcript.whisperx[539].text 應於改制之日辦理離職並依各機關學校聘僱人員離職給予辦法規定辦理不加發七個月月資報酬並改依本院人事管理規章禁用提案人黃正旭等人修正動議六三十五條據莫修正為收繳其餘額
transcript.whisperx[540].start 16674.963
transcript.whisperx[540].end 16678.646
transcript.whisperx[540].text 第一項計謀修正為收繳其餘額並繳為監督機關與為修正提案人員證據等人宣讀完畢
transcript.whisperx[541].start 16704.003
transcript.whisperx[541].end 16729.18
transcript.whisperx[541].text 副大學也宣讀一下你不是教育嗎少一個啊少一個是不好意思沒有辦法幫大家多一個人討論事項第六案附帶決議略移有見台東市台灣少數同時具備氣候土地
transcript.whisperx[542].start 16730
transcript.whisperx[542].end 16746.65
transcript.whisperx[542].text 生態完整性質地區適合系統性發展藥物植物產業原要求中草藥產業廊道示範區應納入台東打造台東為國內藥材穩定之供應基地提案人陳寅等人宣讀完畢
transcript.whisperx[543].start 16768.057
transcript.whisperx[543].end 16791.578
transcript.whisperx[543].text 這個部長這個就很完整了讓有一些更具備氣候土地生態研究完整性的地方適合系統性發展要用植物產業台東你加入打造它變成台東市國內藥材穩定的供應基地
transcript.whisperx[544].start 16802.425
transcript.whisperx[544].end 16819.929
transcript.whisperx[544].text 來繼續主條那我們第15條我們就按照王正旭委員的那個討論事項第6案修正動議2照王正旭委員的修正動議通過15條我們就更正宣告
transcript.whisperx[545].start 16828.328
transcript.whisperx[545].end 16831.951
transcript.whisperx[545].text 叫王正旭委員修正動議通過29條那我們就來更正宣告依照討論事項第6案的修正動議3第29條更正宣告按照王正旭委員的修正動議通過
transcript.whisperx[546].start 16860.452
transcript.whisperx[546].end 16861.532
transcript.whisperx[546].text 我們接續來處理委員鍾嘉斌 委員陳盈 委員葉元芝 委員莊瑞雄委員劉建國 委員林月琴 委員沈發慧 委員張雅琳所提的案子 行政界也沒有對案我們這些就不予採納
transcript.whisperx[547].start 16888.104
transcript.whisperx[547].end 16905.387
transcript.whisperx[547].text 那第31條啊那這個內容其實大致都相同我們就按照行政院的提案通過第5章的章名各提案章名均相同按照行政院提案通過第32條按照行政院提案通過第33條修正動議
transcript.whisperx[548].start 16917.56
transcript.whisperx[548].end 16937.746
transcript.whisperx[548].text 修正動議室機關這邊有沒有不同意見遵照辦理那我們就按照王正旭委員的修正動議通過34條修正動議 王正旭委員修正動議機關有沒有意見
transcript.whisperx[549].start 16940.774
transcript.whisperx[549].end 16958.396
transcript.whisperx[549].text 遵照辦理那我們就第34條按照王正旭委員的修正動議通過第35條修正動議6機關有沒有不同意見遵照辦理那我們就按照第35條按照王正旭委員所提修正動議通過
transcript.whisperx[550].start 16959.557
transcript.whisperx[550].end 16988.817
transcript.whisperx[550].text 第36條 按照行政院提案通過37條 按照行政院提案通過38條 按照行政院提案通過39條 各提案條文內容相同按照行政院提案通過40條 按照行政院提案通過41條 按照行政院提案通過42條 按照行政院提案通過43條 這提案跟條文都一樣按照行政院提案通過
transcript.whisperx[551].start 16990.638
transcript.whisperx[551].end 17003.485
transcript.whisperx[551].text 第六章的章明各提案章明均相同按照行政院提案通過44條按照行政院提案通過45條按照行政院的提案通過40
transcript.whisperx[552].start 17013.723
transcript.whisperx[552].end 17034.116
transcript.whisperx[552].text 這個沒有刑 這是四十三條 四十二條 四十四條 四十三條就委員鍾嘉斌 委員陳瑩 委員岳元之 委員莊瑞雄 委員劉建國委員林月琴 委員沈發慧 委員張雅琳所提的這個行政院這邊也沒有對案 我們就不予採納
transcript.whisperx[553].start 17040.313
transcript.whisperx[553].end 17045.918
transcript.whisperx[553].text 46條各提案的條文內容均相同我們就按照行政院的提案通過來 剛才暫保留的第三條就是討論事項第六案修正動議7就是剛才說到的
transcript.whisperx[554].start 17065.575
transcript.whisperx[554].end 17093.646
transcript.whisperx[554].text 就說明就說明就我們念一下就考量執行第三條第一項任務時確實有附設相關機構及場館之需要第二項附設相關機構及場館之設置應兼顧並促進區域均衡之發展這個是王振旭委員陳穎委員在提案那我們就機關有沒有不同意見遵照辦理我們就按照
transcript.whisperx[555].start 17097.948
transcript.whisperx[555].end 17109.595
transcript.whisperx[555].text 條文是行政院的提案我們立法說明裡面就按照陳穎委員 王正樹委員跟我們幾個提案的修正動議通過
transcript.whisperx[556].start 17114.662
transcript.whisperx[556].end 17130.608
transcript.whisperx[556].text 報告主席這個修正動議條文有補新增的第二項本願依前項任務之需要得附設相關機構及場館那其他說明文字是依照陳委員的建議沒有錯這樣就
transcript.whisperx[557].start 17137.366
transcript.whisperx[557].end 17165.606
transcript.whisperx[557].text 按照王正旭委員的提案那個修正動議通過好我們就更正按照王正旭委員的修正動議通過我們現在處理委員針對第六案所提附帶決議共一案這個已經宣已經宣讀了那附帶決議第一案請問提案委員有沒有補充說明沒有請問機關有沒有其他不同意見跟說明遵照辦理
transcript.whisperx[558].start 17167.071
transcript.whisperx[558].end 17167.792
transcript.whisperx[558].text 哦哦哦哦哦
transcript.whisperx[559].start 17184.848
transcript.whisperx[559].end 17204.727
transcript.whisperx[559].text 這個文字本來我們就已經授權我們議事人員這邊去做調整我們再把它唸一次就是這個修正動議條文王委員你聽一下 給你改一下就是本院依前項任務之需要本來是德設附設相關機構及場館我們現在就德 附 設相關機構及場館你去設就把它換掉
transcript.whisperx[560].start 17210.356
transcript.whisperx[560].end 17214.783
transcript.whisperx[560].text 第一個設我們就劃掉了不用給他了是 同意可以喔好 謝謝王委員來 附帶決議第一案我們就轉通過了
transcript.whisperx[561].start 17228.792
transcript.whisperx[561].end 17240.405
transcript.whisperx[561].text 本案逐條均已處理完畢 作以下宣告本案審查完畢 擬拒審查報告提請院會公決本案是否需交由黨團協商愛啦OK 好 就本案
transcript.whisperx[562].start 17247.574
transcript.whisperx[562].end 17277.003
transcript.whisperx[562].text 整包的一定都交由黨團協商那本案就交由黨團協商院會討論時由莊昭及委員瑞雄出席說明附帶決議一項一併提報院會處理條次引述條文部分文字及法制用字用語授權主席跟議事人員來整理議程所列事項都已處理完畢本次會議到此結束現在散會謝謝大家辛苦了
transcript.whisperx[563].start 17278.599
transcript.whisperx[563].end 17289.287
transcript.whisperx[563].text 我告訴你 我們這是不簡單的發生什麼案件的時候是每一個人來這邊叫叫什麼大聲的 跟什麼一樣結果在審法案的時候 照顧不完的我會很負責任 要你信任