iVOD / 16684

Field Value
IVOD_ID 16684
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16684
日期 2025-05-19
會議資料.會議代碼 聯席會議-11-3-15,36-1
會議資料.會議代碼:str 第11屆第3會期內政、司法及法制委員會第1次聯席會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 1
會議資料.種類 聯席會議
會議資料.委員會代碼[0] 15
會議資料.委員會代碼[1] 36
會議資料.委員會代碼:str[0] 內政委員會
會議資料.委員會代碼:str[1] 司法及法制委員會
會議資料.標題 第11屆第3會期內政、司法及法制委員會第1次聯席會議
影片種類 Full
開始時間 2025-05-19T08:31:14+08:00
結束時間 2025-05-19T11:51:59+08:00
影片長度 03:20:45
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/eeffa975d6a1e3ea9d66b4f497eb78a002ea0e8b14a04e9052bdb8234cc31cace78ef73fe24c006b5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2025-05-19T09:00:00+08:00
會議名稱 立法院第11屆第3會期內政、司法及法制委員會第1次聯席會議(事由:一、繼續審查委員賴士葆等20人擬具「地方制度法第七條之一條文修正草案」案。二、繼續審查委員陳玉珍等18人擬具「地方制度法增訂第七條之四條文草案」案。三、繼續審查委員伍麗華Saidhai Tahovecahe等17人擬具「地方制度法第八十三條之三條文修正草案」案。四、繼續審查委員伍麗華Saidhai Tahovecahe等16人擬具「地方制度法第五十二條及第六十一條條文修正草案」案。五、繼續審查委員陳玉珍等18人擬具「地方制度法第五十六條條文修正草案」案。六、繼續審查委員李坤城等20人擬具「地方制度法第七十八條條文修正草案」案。七、繼續審查委員李彥秀等16人擬具「地方制度法第五十五條及第五十六條條文修正草案」案。八、繼續審查委員高金素梅等18人擬具「地方制度法第八十三條之三條文修正草案」案。九、繼續審查委員魯明哲等16人擬具「地方制度法第七條之一條文修正草案」案。十、繼續審查委員徐巧芯等21人擬具「地方制度法第五十五條條文修正草案」案。十一、繼續審查委員盧縣一等18人擬具「地方制度法部分條文修正草案」案。十二、審查委員邱鎮軍等16人擬具「地方制度法第五十五條及第五十六條條文修正草案」案。十三、審查委員蘇清泉等19人擬具「地方制度法第三十三條條文修正草案」案。十四、審查委員黃捷等18人擬具「地方制度法第三十三條條文修正草案」案。十五、審查委員范雲等24人擬具「地方制度法第三十三條條文修正草案」案。十六、審查委員徐富癸等17人擬具「地方制度法第三十三條條文修正草案」案。十七、審查委員許智傑等26人擬具「地方制度法第三十三條條文修正草案」案。【第十七案如未經各黨團簽署不復議同意書則不予審查】)
委員名稱 完整會議
委員發言時間 08:31:14 - 11:51:59
transcript.pyannote[0].speaker SPEAKER_18
transcript.pyannote[0].start 129.51284375
transcript.pyannote[0].end 133.46159375
transcript.pyannote[1].speaker SPEAKER_18
transcript.pyannote[1].start 695.88846875
transcript.pyannote[1].end 697.05284375
transcript.pyannote[2].speaker SPEAKER_15
transcript.pyannote[2].start 2159.27159375
transcript.pyannote[2].end 2159.79471875
transcript.pyannote[3].speaker SPEAKER_15
transcript.pyannote[3].start 2159.98034375
transcript.pyannote[3].end 2160.52034375
transcript.pyannote[4].speaker SPEAKER_15
transcript.pyannote[4].start 2160.85784375
transcript.pyannote[4].end 2162.27534375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 2163.54096875
transcript.pyannote[5].end 2166.96659375
transcript.pyannote[6].speaker SPEAKER_15
transcript.pyannote[6].start 2167.65846875
transcript.pyannote[6].end 2170.86471875
transcript.pyannote[7].speaker SPEAKER_05
transcript.pyannote[7].start 2171.77596875
transcript.pyannote[7].end 2176.46721875
transcript.pyannote[8].speaker SPEAKER_05
transcript.pyannote[8].start 2176.58534375
transcript.pyannote[8].end 2181.37784375
transcript.pyannote[9].speaker SPEAKER_05
transcript.pyannote[9].start 2181.54659375
transcript.pyannote[9].end 2186.44034375
transcript.pyannote[10].speaker SPEAKER_05
transcript.pyannote[10].start 2186.65971875
transcript.pyannote[10].end 2192.36346875
transcript.pyannote[11].speaker SPEAKER_05
transcript.pyannote[11].start 2192.61659375
transcript.pyannote[11].end 2194.74284375
transcript.pyannote[12].speaker SPEAKER_05
transcript.pyannote[12].start 2194.97909375
transcript.pyannote[12].end 2197.32471875
transcript.pyannote[13].speaker SPEAKER_05
transcript.pyannote[13].start 2197.51034375
transcript.pyannote[13].end 2202.03284375
transcript.pyannote[14].speaker SPEAKER_05
transcript.pyannote[14].start 2202.25221875
transcript.pyannote[14].end 2204.58096875
transcript.pyannote[15].speaker SPEAKER_05
transcript.pyannote[15].start 2204.78346875
transcript.pyannote[15].end 2208.19221875
transcript.pyannote[16].speaker SPEAKER_05
transcript.pyannote[16].start 2208.36096875
transcript.pyannote[16].end 2210.77409375
transcript.pyannote[17].speaker SPEAKER_05
transcript.pyannote[17].start 2210.92596875
transcript.pyannote[17].end 2213.76096875
transcript.pyannote[18].speaker SPEAKER_05
transcript.pyannote[18].start 2213.98034375
transcript.pyannote[18].end 2216.24159375
transcript.pyannote[19].speaker SPEAKER_05
transcript.pyannote[19].start 2216.39346875
transcript.pyannote[19].end 2218.75596875
transcript.pyannote[20].speaker SPEAKER_05
transcript.pyannote[20].start 2218.94159375
transcript.pyannote[20].end 2228.39159375
transcript.pyannote[21].speaker SPEAKER_05
transcript.pyannote[21].start 2228.84721875
transcript.pyannote[21].end 2236.64346875
transcript.pyannote[22].speaker SPEAKER_05
transcript.pyannote[22].start 2237.11596875
transcript.pyannote[22].end 2247.47721875
transcript.pyannote[23].speaker SPEAKER_15
transcript.pyannote[23].start 2248.81034375
transcript.pyannote[23].end 2249.92409375
transcript.pyannote[24].speaker SPEAKER_15
transcript.pyannote[24].start 2249.97471875
transcript.pyannote[24].end 2250.02534375
transcript.pyannote[25].speaker SPEAKER_15
transcript.pyannote[25].start 2250.24471875
transcript.pyannote[25].end 2270.64659375
transcript.pyannote[26].speaker SPEAKER_15
transcript.pyannote[26].start 2272.04721875
transcript.pyannote[26].end 2273.27909375
transcript.pyannote[27].speaker SPEAKER_15
transcript.pyannote[27].start 2274.30846875
transcript.pyannote[27].end 2275.47284375
transcript.pyannote[28].speaker SPEAKER_15
transcript.pyannote[28].start 2276.73846875
transcript.pyannote[28].end 2277.66659375
transcript.pyannote[29].speaker SPEAKER_15
transcript.pyannote[29].start 2279.35409375
transcript.pyannote[29].end 2280.41721875
transcript.pyannote[30].speaker SPEAKER_15
transcript.pyannote[30].start 2281.37909375
transcript.pyannote[30].end 2282.49284375
transcript.pyannote[31].speaker SPEAKER_15
transcript.pyannote[31].start 2283.18471875
transcript.pyannote[31].end 2284.31534375
transcript.pyannote[32].speaker SPEAKER_15
transcript.pyannote[32].start 2285.31096875
transcript.pyannote[32].end 2286.40784375
transcript.pyannote[33].speaker SPEAKER_15
transcript.pyannote[33].start 2288.60159375
transcript.pyannote[33].end 2290.79534375
transcript.pyannote[34].speaker SPEAKER_15
transcript.pyannote[34].start 2292.16221875
transcript.pyannote[34].end 2294.59221875
transcript.pyannote[35].speaker SPEAKER_15
transcript.pyannote[35].start 2295.67221875
transcript.pyannote[35].end 2297.29221875
transcript.pyannote[36].speaker SPEAKER_15
transcript.pyannote[36].start 2298.96284375
transcript.pyannote[36].end 2299.65471875
transcript.pyannote[37].speaker SPEAKER_15
transcript.pyannote[37].start 2301.10596875
transcript.pyannote[37].end 2302.75971875
transcript.pyannote[38].speaker SPEAKER_15
transcript.pyannote[38].start 2304.41346875
transcript.pyannote[38].end 2304.73409375
transcript.pyannote[39].speaker SPEAKER_15
transcript.pyannote[39].start 2305.34159375
transcript.pyannote[39].end 2314.55534375
transcript.pyannote[40].speaker SPEAKER_04
transcript.pyannote[40].start 2323.61721875
transcript.pyannote[40].end 2498.10471875
transcript.pyannote[41].speaker SPEAKER_15
transcript.pyannote[41].start 2500.45034375
transcript.pyannote[41].end 2502.20534375
transcript.pyannote[42].speaker SPEAKER_15
transcript.pyannote[42].start 2502.57659375
transcript.pyannote[42].end 2504.60159375
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 2513.51159375
transcript.pyannote[43].end 2616.95534375
transcript.pyannote[44].speaker SPEAKER_03
transcript.pyannote[44].start 2617.22534375
transcript.pyannote[44].end 2664.52596875
transcript.pyannote[45].speaker SPEAKER_15
transcript.pyannote[45].start 2666.85471875
transcript.pyannote[45].end 2668.15409375
transcript.pyannote[46].speaker SPEAKER_15
transcript.pyannote[46].start 2668.66034375
transcript.pyannote[46].end 2669.52096875
transcript.pyannote[47].speaker SPEAKER_15
transcript.pyannote[47].start 2670.80346875
transcript.pyannote[47].end 2679.69659375
transcript.pyannote[48].speaker SPEAKER_15
transcript.pyannote[48].start 2680.94534375
transcript.pyannote[48].end 2681.82284375
transcript.pyannote[49].speaker SPEAKER_15
transcript.pyannote[49].start 2682.51471875
transcript.pyannote[49].end 2682.81846875
transcript.pyannote[50].speaker SPEAKER_15
transcript.pyannote[50].start 2683.10534375
transcript.pyannote[50].end 2683.35846875
transcript.pyannote[51].speaker SPEAKER_15
transcript.pyannote[51].start 2684.67471875
transcript.pyannote[51].end 2684.97846875
transcript.pyannote[52].speaker SPEAKER_15
transcript.pyannote[52].start 2685.41721875
transcript.pyannote[52].end 2686.27784375
transcript.pyannote[53].speaker SPEAKER_15
transcript.pyannote[53].start 2689.43346875
transcript.pyannote[53].end 2689.56846875
transcript.pyannote[54].speaker SPEAKER_15
transcript.pyannote[54].start 2690.49659375
transcript.pyannote[54].end 2695.87971875
transcript.pyannote[55].speaker SPEAKER_15
transcript.pyannote[55].start 2697.24659375
transcript.pyannote[55].end 2697.48284375
transcript.pyannote[56].speaker SPEAKER_15
transcript.pyannote[56].start 2697.93846875
transcript.pyannote[56].end 2708.01284375
transcript.pyannote[57].speaker SPEAKER_05
transcript.pyannote[57].start 2709.98721875
transcript.pyannote[57].end 2716.55159375
transcript.pyannote[58].speaker SPEAKER_05
transcript.pyannote[58].start 2717.02409375
transcript.pyannote[58].end 2723.57159375
transcript.pyannote[59].speaker SPEAKER_05
transcript.pyannote[59].start 2723.62221875
transcript.pyannote[59].end 2724.97221875
transcript.pyannote[60].speaker SPEAKER_05
transcript.pyannote[60].start 2725.54596875
transcript.pyannote[60].end 2728.54971875
transcript.pyannote[61].speaker SPEAKER_05
transcript.pyannote[61].start 2728.75221875
transcript.pyannote[61].end 2735.35034375
transcript.pyannote[62].speaker SPEAKER_05
transcript.pyannote[62].start 2735.56971875
transcript.pyannote[62].end 2738.05034375
transcript.pyannote[63].speaker SPEAKER_05
transcript.pyannote[63].start 2738.38784375
transcript.pyannote[63].end 2742.42096875
transcript.pyannote[64].speaker SPEAKER_05
transcript.pyannote[64].start 2742.62346875
transcript.pyannote[64].end 2743.73721875
transcript.pyannote[65].speaker SPEAKER_05
transcript.pyannote[65].start 2743.97346875
transcript.pyannote[65].end 2746.47096875
transcript.pyannote[66].speaker SPEAKER_05
transcript.pyannote[66].start 2746.69034375
transcript.pyannote[66].end 2747.82096875
transcript.pyannote[67].speaker SPEAKER_05
transcript.pyannote[67].start 2747.97284375
transcript.pyannote[67].end 2749.91346875
transcript.pyannote[68].speaker SPEAKER_05
transcript.pyannote[68].start 2750.35221875
transcript.pyannote[68].end 2754.16596875
transcript.pyannote[69].speaker SPEAKER_05
transcript.pyannote[69].start 2754.55409375
transcript.pyannote[69].end 2756.35971875
transcript.pyannote[70].speaker SPEAKER_05
transcript.pyannote[70].start 2756.54534375
transcript.pyannote[70].end 2759.31284375
transcript.pyannote[71].speaker SPEAKER_05
transcript.pyannote[71].start 2759.41409375
transcript.pyannote[71].end 2765.79284375
transcript.pyannote[72].speaker SPEAKER_05
transcript.pyannote[72].start 2766.68721875
transcript.pyannote[72].end 2769.45471875
transcript.pyannote[73].speaker SPEAKER_05
transcript.pyannote[73].start 2769.74159375
transcript.pyannote[73].end 2777.36909375
transcript.pyannote[74].speaker SPEAKER_05
transcript.pyannote[74].start 2777.48721875
transcript.pyannote[74].end 2781.40221875
transcript.pyannote[75].speaker SPEAKER_05
transcript.pyannote[75].start 2781.67221875
transcript.pyannote[75].end 2782.61721875
transcript.pyannote[76].speaker SPEAKER_05
transcript.pyannote[76].start 2782.92096875
transcript.pyannote[76].end 2789.06346875
transcript.pyannote[77].speaker SPEAKER_05
transcript.pyannote[77].start 2789.40096875
transcript.pyannote[77].end 2792.84346875
transcript.pyannote[78].speaker SPEAKER_05
transcript.pyannote[78].start 2793.09659375
transcript.pyannote[78].end 2794.59846875
transcript.pyannote[79].speaker SPEAKER_05
transcript.pyannote[79].start 2794.98659375
transcript.pyannote[79].end 2799.57659375
transcript.pyannote[80].speaker SPEAKER_05
transcript.pyannote[80].start 2799.82971875
transcript.pyannote[80].end 2805.88784375
transcript.pyannote[81].speaker SPEAKER_05
transcript.pyannote[81].start 2806.25909375
transcript.pyannote[81].end 2809.88721875
transcript.pyannote[82].speaker SPEAKER_05
transcript.pyannote[82].start 2809.93784375
transcript.pyannote[82].end 2812.57034375
transcript.pyannote[83].speaker SPEAKER_05
transcript.pyannote[83].start 2812.99221875
transcript.pyannote[83].end 2819.64096875
transcript.pyannote[84].speaker SPEAKER_05
transcript.pyannote[84].start 2820.21471875
transcript.pyannote[84].end 2822.69534375
transcript.pyannote[85].speaker SPEAKER_05
transcript.pyannote[85].start 2822.98221875
transcript.pyannote[85].end 2827.65659375
transcript.pyannote[86].speaker SPEAKER_05
transcript.pyannote[86].start 2827.84221875
transcript.pyannote[86].end 2834.28846875
transcript.pyannote[87].speaker SPEAKER_05
transcript.pyannote[87].start 2834.89596875
transcript.pyannote[87].end 2837.37659375
transcript.pyannote[88].speaker SPEAKER_05
transcript.pyannote[88].start 2837.66346875
transcript.pyannote[88].end 2839.03034375
transcript.pyannote[89].speaker SPEAKER_05
transcript.pyannote[89].start 2839.19909375
transcript.pyannote[89].end 2841.94971875
transcript.pyannote[90].speaker SPEAKER_05
transcript.pyannote[90].start 2842.91159375
transcript.pyannote[90].end 2846.11784375
transcript.pyannote[91].speaker SPEAKER_05
transcript.pyannote[91].start 2846.37096875
transcript.pyannote[91].end 2852.63159375
transcript.pyannote[92].speaker SPEAKER_05
transcript.pyannote[92].start 2853.34034375
transcript.pyannote[92].end 2855.39909375
transcript.pyannote[93].speaker SPEAKER_05
transcript.pyannote[93].start 2857.49159375
transcript.pyannote[93].end 2865.82784375
transcript.pyannote[94].speaker SPEAKER_05
transcript.pyannote[94].start 2866.04721875
transcript.pyannote[94].end 2868.57846875
transcript.pyannote[95].speaker SPEAKER_05
transcript.pyannote[95].start 2869.52346875
transcript.pyannote[95].end 2876.59409375
transcript.pyannote[96].speaker SPEAKER_05
transcript.pyannote[96].start 2876.91471875
transcript.pyannote[96].end 2878.78784375
transcript.pyannote[97].speaker SPEAKER_05
transcript.pyannote[97].start 2879.07471875
transcript.pyannote[97].end 2883.12471875
transcript.pyannote[98].speaker SPEAKER_05
transcript.pyannote[98].start 2883.29346875
transcript.pyannote[98].end 2886.26346875
transcript.pyannote[99].speaker SPEAKER_05
transcript.pyannote[99].start 2886.55034375
transcript.pyannote[99].end 2888.23784375
transcript.pyannote[100].speaker SPEAKER_05
transcript.pyannote[100].start 2888.77784375
transcript.pyannote[100].end 2890.46534375
transcript.pyannote[101].speaker SPEAKER_05
transcript.pyannote[101].start 2891.96721875
transcript.pyannote[101].end 2898.53159375
transcript.pyannote[102].speaker SPEAKER_05
transcript.pyannote[102].start 2899.13909375
transcript.pyannote[102].end 2902.63221875
transcript.pyannote[103].speaker SPEAKER_05
transcript.pyannote[103].start 2902.88534375
transcript.pyannote[103].end 2904.84284375
transcript.pyannote[104].speaker SPEAKER_05
transcript.pyannote[104].start 2905.09596875
transcript.pyannote[104].end 2909.16284375
transcript.pyannote[105].speaker SPEAKER_15
transcript.pyannote[105].start 2911.57596875
transcript.pyannote[105].end 2911.91346875
transcript.pyannote[106].speaker SPEAKER_15
transcript.pyannote[106].start 2911.94721875
transcript.pyannote[106].end 2912.60534375
transcript.pyannote[107].speaker SPEAKER_15
transcript.pyannote[107].start 2913.04409375
transcript.pyannote[107].end 2914.66409375
transcript.pyannote[108].speaker SPEAKER_18
transcript.pyannote[108].start 3168.75096875
transcript.pyannote[108].end 3168.78471875
transcript.pyannote[109].speaker SPEAKER_16
transcript.pyannote[109].start 3168.78471875
transcript.pyannote[109].end 3168.91971875
transcript.pyannote[110].speaker SPEAKER_18
transcript.pyannote[110].start 3168.91971875
transcript.pyannote[110].end 3168.97034375
transcript.pyannote[111].speaker SPEAKER_16
transcript.pyannote[111].start 3168.97034375
transcript.pyannote[111].end 3169.08846875
transcript.pyannote[112].speaker SPEAKER_18
transcript.pyannote[112].start 3169.08846875
transcript.pyannote[112].end 3169.10534375
transcript.pyannote[113].speaker SPEAKER_15
transcript.pyannote[113].start 3172.48034375
transcript.pyannote[113].end 3172.73346875
transcript.pyannote[114].speaker SPEAKER_15
transcript.pyannote[114].start 3174.03284375
transcript.pyannote[114].end 3177.54284375
transcript.pyannote[115].speaker SPEAKER_15
transcript.pyannote[115].start 3177.88034375
transcript.pyannote[115].end 3178.72409375
transcript.pyannote[116].speaker SPEAKER_15
transcript.pyannote[116].start 3179.09534375
transcript.pyannote[116].end 3181.49159375
transcript.pyannote[117].speaker SPEAKER_15
transcript.pyannote[117].start 3182.03159375
transcript.pyannote[117].end 3188.59596875
transcript.pyannote[118].speaker SPEAKER_08
transcript.pyannote[118].start 3188.12346875
transcript.pyannote[118].end 3290.30159375
transcript.pyannote[119].speaker SPEAKER_08
transcript.pyannote[119].start 3290.62221875
transcript.pyannote[119].end 3294.77346875
transcript.pyannote[120].speaker SPEAKER_08
transcript.pyannote[120].start 3294.85784375
transcript.pyannote[120].end 3299.22846875
transcript.pyannote[121].speaker SPEAKER_08
transcript.pyannote[121].start 3299.36346875
transcript.pyannote[121].end 3323.39346875
transcript.pyannote[122].speaker SPEAKER_15
transcript.pyannote[122].start 3327.98346875
transcript.pyannote[122].end 3328.96221875
transcript.pyannote[123].speaker SPEAKER_15
transcript.pyannote[123].start 3329.72159375
transcript.pyannote[123].end 3354.03846875
transcript.pyannote[124].speaker SPEAKER_15
transcript.pyannote[124].start 3354.40971875
transcript.pyannote[124].end 3355.00034375
transcript.pyannote[125].speaker SPEAKER_15
transcript.pyannote[125].start 3355.45596875
transcript.pyannote[125].end 3369.76596875
transcript.pyannote[126].speaker SPEAKER_15
transcript.pyannote[126].start 3369.96846875
transcript.pyannote[126].end 3372.17909375
transcript.pyannote[127].speaker SPEAKER_15
transcript.pyannote[127].start 3375.33471875
transcript.pyannote[127].end 3388.61534375
transcript.pyannote[128].speaker SPEAKER_16
transcript.pyannote[128].start 3388.76721875
transcript.pyannote[128].end 3390.35346875
transcript.pyannote[129].speaker SPEAKER_16
transcript.pyannote[129].start 3390.67409375
transcript.pyannote[129].end 3392.02409375
transcript.pyannote[130].speaker SPEAKER_16
transcript.pyannote[130].start 3392.95221875
transcript.pyannote[130].end 3395.34846875
transcript.pyannote[131].speaker SPEAKER_16
transcript.pyannote[131].start 3395.75346875
transcript.pyannote[131].end 3399.39846875
transcript.pyannote[132].speaker SPEAKER_16
transcript.pyannote[132].start 3399.55034375
transcript.pyannote[132].end 3405.23721875
transcript.pyannote[133].speaker SPEAKER_16
transcript.pyannote[133].start 3405.32159375
transcript.pyannote[133].end 3409.00034375
transcript.pyannote[134].speaker SPEAKER_16
transcript.pyannote[134].start 3409.69221875
transcript.pyannote[134].end 3413.03346875
transcript.pyannote[135].speaker SPEAKER_16
transcript.pyannote[135].start 3413.37096875
transcript.pyannote[135].end 3414.07971875
transcript.pyannote[136].speaker SPEAKER_16
transcript.pyannote[136].start 3414.97409375
transcript.pyannote[136].end 3420.12096875
transcript.pyannote[137].speaker SPEAKER_15
transcript.pyannote[137].start 3421.26846875
transcript.pyannote[137].end 3423.44534375
transcript.pyannote[138].speaker SPEAKER_15
transcript.pyannote[138].start 3426.49971875
transcript.pyannote[138].end 3440.86034375
transcript.pyannote[139].speaker SPEAKER_15
transcript.pyannote[139].start 3441.61971875
transcript.pyannote[139].end 3443.05409375
transcript.pyannote[140].speaker SPEAKER_15
transcript.pyannote[140].start 3443.12159375
transcript.pyannote[140].end 3444.80909375
transcript.pyannote[141].speaker SPEAKER_15
transcript.pyannote[141].start 3445.09596875
transcript.pyannote[141].end 3446.17596875
transcript.pyannote[142].speaker SPEAKER_15
transcript.pyannote[142].start 3450.76596875
transcript.pyannote[142].end 3451.00221875
transcript.pyannote[143].speaker SPEAKER_15
transcript.pyannote[143].start 3455.27159375
transcript.pyannote[143].end 3464.53596875
transcript.pyannote[144].speaker SPEAKER_15
transcript.pyannote[144].start 3465.41346875
transcript.pyannote[144].end 3465.81846875
transcript.pyannote[145].speaker SPEAKER_15
transcript.pyannote[145].start 3469.17659375
transcript.pyannote[145].end 3480.14534375
transcript.pyannote[146].speaker SPEAKER_15
transcript.pyannote[146].start 3484.97159375
transcript.pyannote[146].end 3485.84909375
transcript.pyannote[147].speaker SPEAKER_15
transcript.pyannote[147].start 3488.90346875
transcript.pyannote[147].end 3489.59534375
transcript.pyannote[148].speaker SPEAKER_15
transcript.pyannote[148].start 3489.93284375
transcript.pyannote[148].end 3491.02971875
transcript.pyannote[149].speaker SPEAKER_15
transcript.pyannote[149].start 3492.97034375
transcript.pyannote[149].end 3493.20659375
transcript.pyannote[150].speaker SPEAKER_15
transcript.pyannote[150].start 3493.96596875
transcript.pyannote[150].end 3494.35409375
transcript.pyannote[151].speaker SPEAKER_15
transcript.pyannote[151].start 3494.96159375
transcript.pyannote[151].end 3495.65346875
transcript.pyannote[152].speaker SPEAKER_15
transcript.pyannote[152].start 3496.05846875
transcript.pyannote[152].end 3496.90221875
transcript.pyannote[153].speaker SPEAKER_15
transcript.pyannote[153].start 3498.38721875
transcript.pyannote[153].end 3499.87221875
transcript.pyannote[154].speaker SPEAKER_15
transcript.pyannote[154].start 3500.10846875
transcript.pyannote[154].end 3501.05346875
transcript.pyannote[155].speaker SPEAKER_15
transcript.pyannote[155].start 3502.80846875
transcript.pyannote[155].end 3504.73221875
transcript.pyannote[156].speaker SPEAKER_15
transcript.pyannote[156].start 3507.21284375
transcript.pyannote[156].end 3514.97534375
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 3515.17784375
transcript.pyannote[157].end 3519.68346875
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 3520.34159375
transcript.pyannote[158].end 3541.60409375
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 3542.04284375
transcript.pyannote[159].end 3546.59909375
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 3547.25721875
transcript.pyannote[160].end 3547.42596875
transcript.pyannote[161].speaker SPEAKER_03
transcript.pyannote[161].start 3547.74659375
transcript.pyannote[161].end 3556.87596875
transcript.pyannote[162].speaker SPEAKER_13
transcript.pyannote[162].start 3560.41971875
transcript.pyannote[162].end 3561.26346875
transcript.pyannote[163].speaker SPEAKER_06
transcript.pyannote[163].start 3564.62159375
transcript.pyannote[163].end 3609.98159375
transcript.pyannote[164].speaker SPEAKER_15
transcript.pyannote[164].start 3610.55534375
transcript.pyannote[164].end 3627.49784375
transcript.pyannote[165].speaker SPEAKER_11
transcript.pyannote[165].start 3627.71721875
transcript.pyannote[165].end 3628.93221875
transcript.pyannote[166].speaker SPEAKER_15
transcript.pyannote[166].start 3629.91096875
transcript.pyannote[166].end 3630.78846875
transcript.pyannote[167].speaker SPEAKER_15
transcript.pyannote[167].start 3633.55596875
transcript.pyannote[167].end 3635.27721875
transcript.pyannote[168].speaker SPEAKER_15
transcript.pyannote[168].start 3635.49659375
transcript.pyannote[168].end 3638.90534375
transcript.pyannote[169].speaker SPEAKER_18
transcript.pyannote[169].start 3636.81284375
transcript.pyannote[169].end 3636.86346875
transcript.pyannote[170].speaker SPEAKER_15
transcript.pyannote[170].start 3639.14159375
transcript.pyannote[170].end 3640.01909375
transcript.pyannote[171].speaker SPEAKER_06
transcript.pyannote[171].start 3641.70659375
transcript.pyannote[171].end 3641.90909375
transcript.pyannote[172].speaker SPEAKER_06
transcript.pyannote[172].start 3642.01034375
transcript.pyannote[172].end 3650.97096875
transcript.pyannote[173].speaker SPEAKER_06
transcript.pyannote[173].start 3651.49409375
transcript.pyannote[173].end 3653.09721875
transcript.pyannote[174].speaker SPEAKER_06
transcript.pyannote[174].start 3653.21534375
transcript.pyannote[174].end 3653.51909375
transcript.pyannote[175].speaker SPEAKER_11
transcript.pyannote[175].start 3653.68784375
transcript.pyannote[175].end 3668.53784375
transcript.pyannote[176].speaker SPEAKER_11
transcript.pyannote[176].start 3668.85846875
transcript.pyannote[176].end 3669.34784375
transcript.pyannote[177].speaker SPEAKER_11
transcript.pyannote[177].start 3669.98909375
transcript.pyannote[177].end 3671.38971875
transcript.pyannote[178].speaker SPEAKER_11
transcript.pyannote[178].start 3671.96346875
transcript.pyannote[178].end 3676.03034375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 3674.71409375
transcript.pyannote[179].end 3674.78159375
transcript.pyannote[180].speaker SPEAKER_11
transcript.pyannote[180].start 3676.67159375
transcript.pyannote[180].end 3683.52284375
transcript.pyannote[181].speaker SPEAKER_11
transcript.pyannote[181].start 3683.75909375
transcript.pyannote[181].end 3696.97221875
transcript.pyannote[182].speaker SPEAKER_11
transcript.pyannote[182].start 3698.40659375
transcript.pyannote[182].end 3701.03909375
transcript.pyannote[183].speaker SPEAKER_18
transcript.pyannote[183].start 3701.03909375
transcript.pyannote[183].end 3701.35971875
transcript.pyannote[184].speaker SPEAKER_11
transcript.pyannote[184].start 3701.35971875
transcript.pyannote[184].end 3702.79409375
transcript.pyannote[185].speaker SPEAKER_18
transcript.pyannote[185].start 3702.42284375
transcript.pyannote[185].end 3703.19909375
transcript.pyannote[186].speaker SPEAKER_11
transcript.pyannote[186].start 3703.19909375
transcript.pyannote[186].end 3705.78096875
transcript.pyannote[187].speaker SPEAKER_18
transcript.pyannote[187].start 3704.39721875
transcript.pyannote[187].end 3707.97471875
transcript.pyannote[188].speaker SPEAKER_15
transcript.pyannote[188].start 3707.97471875
transcript.pyannote[188].end 3708.80159375
transcript.pyannote[189].speaker SPEAKER_18
transcript.pyannote[189].start 3708.80159375
transcript.pyannote[189].end 3708.81846875
transcript.pyannote[190].speaker SPEAKER_23
transcript.pyannote[190].start 3708.81846875
transcript.pyannote[190].end 3709.49346875
transcript.pyannote[191].speaker SPEAKER_18
transcript.pyannote[191].start 3708.90284375
transcript.pyannote[191].end 3709.07159375
transcript.pyannote[192].speaker SPEAKER_15
transcript.pyannote[192].start 3709.07159375
transcript.pyannote[192].end 3709.08846875
transcript.pyannote[193].speaker SPEAKER_11
transcript.pyannote[193].start 3709.08846875
transcript.pyannote[193].end 3709.10534375
transcript.pyannote[194].speaker SPEAKER_15
transcript.pyannote[194].start 3709.10534375
transcript.pyannote[194].end 3709.12221875
transcript.pyannote[195].speaker SPEAKER_11
transcript.pyannote[195].start 3709.12221875
transcript.pyannote[195].end 3709.13909375
transcript.pyannote[196].speaker SPEAKER_15
transcript.pyannote[196].start 3709.13909375
transcript.pyannote[196].end 3709.18971875
transcript.pyannote[197].speaker SPEAKER_11
transcript.pyannote[197].start 3709.18971875
transcript.pyannote[197].end 3709.22346875
transcript.pyannote[198].speaker SPEAKER_15
transcript.pyannote[198].start 3709.22346875
transcript.pyannote[198].end 3709.24034375
transcript.pyannote[199].speaker SPEAKER_15
transcript.pyannote[199].start 3709.74659375
transcript.pyannote[199].end 3713.25659375
transcript.pyannote[200].speaker SPEAKER_23
transcript.pyannote[200].start 3713.25659375
transcript.pyannote[200].end 3734.18159375
transcript.pyannote[201].speaker SPEAKER_04
transcript.pyannote[201].start 3734.18159375
transcript.pyannote[201].end 3734.29971875
transcript.pyannote[202].speaker SPEAKER_04
transcript.pyannote[202].start 3734.50221875
transcript.pyannote[202].end 3742.83846875
transcript.pyannote[203].speaker SPEAKER_04
transcript.pyannote[203].start 3743.47971875
transcript.pyannote[203].end 3743.88471875
transcript.pyannote[204].speaker SPEAKER_04
transcript.pyannote[204].start 3745.20096875
transcript.pyannote[204].end 3782.52846875
transcript.pyannote[205].speaker SPEAKER_04
transcript.pyannote[205].start 3782.69721875
transcript.pyannote[205].end 3799.40346875
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 3794.25659375
transcript.pyannote[206].end 3794.37471875
transcript.pyannote[207].speaker SPEAKER_18
transcript.pyannote[207].start 3794.37471875
transcript.pyannote[207].end 3794.49284375
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 3794.49284375
transcript.pyannote[208].end 3794.56034375
transcript.pyannote[209].speaker SPEAKER_04
transcript.pyannote[209].start 3799.53846875
transcript.pyannote[209].end 3804.11159375
transcript.pyannote[210].speaker SPEAKER_04
transcript.pyannote[210].start 3804.33096875
transcript.pyannote[210].end 3807.01409375
transcript.pyannote[211].speaker SPEAKER_18
transcript.pyannote[211].start 3806.62596875
transcript.pyannote[211].end 3806.92971875
transcript.pyannote[212].speaker SPEAKER_04
transcript.pyannote[212].start 3807.79034375
transcript.pyannote[212].end 3818.47221875
transcript.pyannote[213].speaker SPEAKER_15
transcript.pyannote[213].start 3819.58596875
transcript.pyannote[213].end 3819.60284375
transcript.pyannote[214].speaker SPEAKER_21
transcript.pyannote[214].start 3819.60284375
transcript.pyannote[214].end 3821.15534375
transcript.pyannote[215].speaker SPEAKER_21
transcript.pyannote[215].start 3822.84284375
transcript.pyannote[215].end 3825.52596875
transcript.pyannote[216].speaker SPEAKER_21
transcript.pyannote[216].start 3826.04909375
transcript.pyannote[216].end 3827.41596875
transcript.pyannote[217].speaker SPEAKER_21
transcript.pyannote[217].start 3827.85471875
transcript.pyannote[217].end 3839.71784375
transcript.pyannote[218].speaker SPEAKER_21
transcript.pyannote[218].start 3839.92034375
transcript.pyannote[218].end 3840.78096875
transcript.pyannote[219].speaker SPEAKER_21
transcript.pyannote[219].start 3841.28721875
transcript.pyannote[219].end 3843.59909375
transcript.pyannote[220].speaker SPEAKER_21
transcript.pyannote[220].start 3843.91971875
transcript.pyannote[220].end 3845.94471875
transcript.pyannote[221].speaker SPEAKER_21
transcript.pyannote[221].start 3846.09659375
transcript.pyannote[221].end 3846.21471875
transcript.pyannote[222].speaker SPEAKER_18
transcript.pyannote[222].start 3846.21471875
transcript.pyannote[222].end 3846.48471875
transcript.pyannote[223].speaker SPEAKER_21
transcript.pyannote[223].start 3846.48471875
transcript.pyannote[223].end 3849.08346875
transcript.pyannote[224].speaker SPEAKER_18
transcript.pyannote[224].start 3849.08346875
transcript.pyannote[224].end 3854.16284375
transcript.pyannote[225].speaker SPEAKER_21
transcript.pyannote[225].start 3851.09159375
transcript.pyannote[225].end 3868.01721875
transcript.pyannote[226].speaker SPEAKER_21
transcript.pyannote[226].start 3868.28721875
transcript.pyannote[226].end 3875.93159375
transcript.pyannote[227].speaker SPEAKER_21
transcript.pyannote[227].start 3875.96534375
transcript.pyannote[227].end 3887.28846875
transcript.pyannote[228].speaker SPEAKER_18
transcript.pyannote[228].start 3891.05159375
transcript.pyannote[228].end 3891.20346875
transcript.pyannote[229].speaker SPEAKER_15
transcript.pyannote[229].start 3891.25409375
transcript.pyannote[229].end 3898.69596875
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 3898.12221875
transcript.pyannote[230].end 3927.70409375
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 3927.90659375
transcript.pyannote[231].end 3929.44221875
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 3929.52659375
transcript.pyannote[232].end 3930.31971875
transcript.pyannote[233].speaker SPEAKER_18
transcript.pyannote[233].start 3931.87221875
transcript.pyannote[233].end 3932.07471875
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 3932.07471875
transcript.pyannote[234].end 3932.09159375
transcript.pyannote[235].speaker SPEAKER_16
transcript.pyannote[235].start 3933.79596875
transcript.pyannote[235].end 3955.31159375
transcript.pyannote[236].speaker SPEAKER_16
transcript.pyannote[236].start 3956.05409375
transcript.pyannote[236].end 3960.72846875
transcript.pyannote[237].speaker SPEAKER_16
transcript.pyannote[237].start 3961.79159375
transcript.pyannote[237].end 3962.36534375
transcript.pyannote[238].speaker SPEAKER_16
transcript.pyannote[238].start 3962.66909375
transcript.pyannote[238].end 3986.63159375
transcript.pyannote[239].speaker SPEAKER_15
transcript.pyannote[239].start 3988.52159375
transcript.pyannote[239].end 3991.59284375
transcript.pyannote[240].speaker SPEAKER_15
transcript.pyannote[240].start 3992.16659375
transcript.pyannote[240].end 4001.85284375
transcript.pyannote[241].speaker SPEAKER_15
transcript.pyannote[241].start 4002.25784375
transcript.pyannote[241].end 4010.15534375
transcript.pyannote[242].speaker SPEAKER_15
transcript.pyannote[242].start 4010.84721875
transcript.pyannote[242].end 4029.39284375
transcript.pyannote[243].speaker SPEAKER_15
transcript.pyannote[243].start 4029.59534375
transcript.pyannote[243].end 4045.15409375
transcript.pyannote[244].speaker SPEAKER_15
transcript.pyannote[244].start 4045.30596875
transcript.pyannote[244].end 4057.37159375
transcript.pyannote[245].speaker SPEAKER_14
transcript.pyannote[245].start 4058.80596875
transcript.pyannote[245].end 4059.02534375
transcript.pyannote[246].speaker SPEAKER_15
transcript.pyannote[246].start 4059.02534375
transcript.pyannote[246].end 4059.19409375
transcript.pyannote[247].speaker SPEAKER_14
transcript.pyannote[247].start 4059.19409375
transcript.pyannote[247].end 4059.34596875
transcript.pyannote[248].speaker SPEAKER_15
transcript.pyannote[248].start 4059.34596875
transcript.pyannote[248].end 4066.56846875
transcript.pyannote[249].speaker SPEAKER_08
transcript.pyannote[249].start 4067.02409375
transcript.pyannote[249].end 4092.38721875
transcript.pyannote[250].speaker SPEAKER_08
transcript.pyannote[250].start 4092.97784375
transcript.pyannote[250].end 4094.36159375
transcript.pyannote[251].speaker SPEAKER_08
transcript.pyannote[251].start 4094.96909375
transcript.pyannote[251].end 4095.03659375
transcript.pyannote[252].speaker SPEAKER_08
transcript.pyannote[252].start 4095.13784375
transcript.pyannote[252].end 4098.02346875
transcript.pyannote[253].speaker SPEAKER_08
transcript.pyannote[253].start 4099.08659375
transcript.pyannote[253].end 4115.67471875
transcript.pyannote[254].speaker SPEAKER_15
transcript.pyannote[254].start 4124.68596875
transcript.pyannote[254].end 4125.10784375
transcript.pyannote[255].speaker SPEAKER_15
transcript.pyannote[255].start 4125.47909375
transcript.pyannote[255].end 4132.38096875
transcript.pyannote[256].speaker SPEAKER_15
transcript.pyannote[256].start 4133.56221875
transcript.pyannote[256].end 4139.09721875
transcript.pyannote[257].speaker SPEAKER_15
transcript.pyannote[257].start 4139.45159375
transcript.pyannote[257].end 4140.54846875
transcript.pyannote[258].speaker SPEAKER_15
transcript.pyannote[258].start 4144.15971875
transcript.pyannote[258].end 4152.29346875
transcript.pyannote[259].speaker SPEAKER_15
transcript.pyannote[259].start 4154.31846875
transcript.pyannote[259].end 4156.07346875
transcript.pyannote[260].speaker SPEAKER_15
transcript.pyannote[260].start 4162.62096875
transcript.pyannote[260].end 4166.72159375
transcript.pyannote[261].speaker SPEAKER_23
transcript.pyannote[261].start 4167.19409375
transcript.pyannote[261].end 4180.39034375
transcript.pyannote[262].speaker SPEAKER_23
transcript.pyannote[262].start 4180.69409375
transcript.pyannote[262].end 4186.80284375
transcript.pyannote[263].speaker SPEAKER_23
transcript.pyannote[263].start 4186.97159375
transcript.pyannote[263].end 4188.03471875
transcript.pyannote[264].speaker SPEAKER_23
transcript.pyannote[264].start 4188.13596875
transcript.pyannote[264].end 4214.78159375
transcript.pyannote[265].speaker SPEAKER_23
transcript.pyannote[265].start 4217.97096875
transcript.pyannote[265].end 4218.24096875
transcript.pyannote[266].speaker SPEAKER_15
transcript.pyannote[266].start 4218.61221875
transcript.pyannote[266].end 4222.10534375
transcript.pyannote[267].speaker SPEAKER_15
transcript.pyannote[267].start 4225.27784375
transcript.pyannote[267].end 4235.41971875
transcript.pyannote[268].speaker SPEAKER_14
transcript.pyannote[268].start 4235.25096875
transcript.pyannote[268].end 4235.40284375
transcript.pyannote[269].speaker SPEAKER_14
transcript.pyannote[269].start 4235.41971875
transcript.pyannote[269].end 4244.76846875
transcript.pyannote[270].speaker SPEAKER_15
transcript.pyannote[270].start 4241.62971875
transcript.pyannote[270].end 4241.98409375
transcript.pyannote[271].speaker SPEAKER_15
transcript.pyannote[271].start 4244.76846875
transcript.pyannote[271].end 4247.58659375
transcript.pyannote[272].speaker SPEAKER_14
transcript.pyannote[272].start 4244.78534375
transcript.pyannote[272].end 4245.17346875
transcript.pyannote[273].speaker SPEAKER_04
transcript.pyannote[273].start 4245.17346875
transcript.pyannote[273].end 4245.22409375
transcript.pyannote[274].speaker SPEAKER_14
transcript.pyannote[274].start 4245.22409375
transcript.pyannote[274].end 4245.44346875
transcript.pyannote[275].speaker SPEAKER_04
transcript.pyannote[275].start 4245.44346875
transcript.pyannote[275].end 4245.71346875
transcript.pyannote[276].speaker SPEAKER_14
transcript.pyannote[276].start 4245.71346875
transcript.pyannote[276].end 4245.74721875
transcript.pyannote[277].speaker SPEAKER_04
transcript.pyannote[277].start 4245.74721875
transcript.pyannote[277].end 4247.50221875
transcript.pyannote[278].speaker SPEAKER_14
transcript.pyannote[278].start 4247.58659375
transcript.pyannote[278].end 4247.60346875
transcript.pyannote[279].speaker SPEAKER_04
transcript.pyannote[279].start 4247.60346875
transcript.pyannote[279].end 4247.67096875
transcript.pyannote[280].speaker SPEAKER_14
transcript.pyannote[280].start 4247.67096875
transcript.pyannote[280].end 4247.83971875
transcript.pyannote[281].speaker SPEAKER_15
transcript.pyannote[281].start 4247.83971875
transcript.pyannote[281].end 4248.90284375
transcript.pyannote[282].speaker SPEAKER_04
transcript.pyannote[282].start 4248.39659375
transcript.pyannote[282].end 4274.60346875
transcript.pyannote[283].speaker SPEAKER_21
transcript.pyannote[283].start 4277.64096875
transcript.pyannote[283].end 4278.48471875
transcript.pyannote[284].speaker SPEAKER_18
transcript.pyannote[284].start 4278.48471875
transcript.pyannote[284].end 4278.53534375
transcript.pyannote[285].speaker SPEAKER_14
transcript.pyannote[285].start 4278.53534375
transcript.pyannote[285].end 4278.55221875
transcript.pyannote[286].speaker SPEAKER_21
transcript.pyannote[286].start 4280.77971875
transcript.pyannote[286].end 4283.27721875
transcript.pyannote[287].speaker SPEAKER_21
transcript.pyannote[287].start 4284.25596875
transcript.pyannote[287].end 4284.57659375
transcript.pyannote[288].speaker SPEAKER_21
transcript.pyannote[288].start 4285.25159375
transcript.pyannote[288].end 4289.30159375
transcript.pyannote[289].speaker SPEAKER_21
transcript.pyannote[289].start 4289.89221875
transcript.pyannote[289].end 4314.25971875
transcript.pyannote[290].speaker SPEAKER_21
transcript.pyannote[290].start 4314.52971875
transcript.pyannote[290].end 4323.87846875
transcript.pyannote[291].speaker SPEAKER_21
transcript.pyannote[291].start 4324.33409375
transcript.pyannote[291].end 4326.89909375
transcript.pyannote[292].speaker SPEAKER_21
transcript.pyannote[292].start 4327.48971875
transcript.pyannote[292].end 4343.80784375
transcript.pyannote[293].speaker SPEAKER_21
transcript.pyannote[293].start 4344.21284375
transcript.pyannote[293].end 4347.04784375
transcript.pyannote[294].speaker SPEAKER_21
transcript.pyannote[294].start 4347.55409375
transcript.pyannote[294].end 4349.15721875
transcript.pyannote[295].speaker SPEAKER_23
transcript.pyannote[295].start 4354.48971875
transcript.pyannote[295].end 4372.30971875
transcript.pyannote[296].speaker SPEAKER_23
transcript.pyannote[296].start 4372.59659375
transcript.pyannote[296].end 4386.43409375
transcript.pyannote[297].speaker SPEAKER_23
transcript.pyannote[297].start 4388.69534375
transcript.pyannote[297].end 4392.39096875
transcript.pyannote[298].speaker SPEAKER_23
transcript.pyannote[298].start 4393.40346875
transcript.pyannote[298].end 4396.64346875
transcript.pyannote[299].speaker SPEAKER_23
transcript.pyannote[299].start 4396.89659375
transcript.pyannote[299].end 4408.37159375
transcript.pyannote[300].speaker SPEAKER_23
transcript.pyannote[300].start 4409.45159375
transcript.pyannote[300].end 4411.05471875
transcript.pyannote[301].speaker SPEAKER_15
transcript.pyannote[301].start 4413.01221875
transcript.pyannote[301].end 4425.92159375
transcript.pyannote[302].speaker SPEAKER_15
transcript.pyannote[302].start 4427.30534375
transcript.pyannote[302].end 4430.27534375
transcript.pyannote[303].speaker SPEAKER_15
transcript.pyannote[303].start 4430.84909375
transcript.pyannote[303].end 4433.36346875
transcript.pyannote[304].speaker SPEAKER_15
transcript.pyannote[304].start 4433.66721875
transcript.pyannote[304].end 4434.62909375
transcript.pyannote[305].speaker SPEAKER_23
transcript.pyannote[305].start 4434.30846875
transcript.pyannote[305].end 4441.02471875
transcript.pyannote[306].speaker SPEAKER_04
transcript.pyannote[306].start 4440.53534375
transcript.pyannote[306].end 4440.68721875
transcript.pyannote[307].speaker SPEAKER_15
transcript.pyannote[307].start 4440.68721875
transcript.pyannote[307].end 4440.94034375
transcript.pyannote[308].speaker SPEAKER_18
transcript.pyannote[308].start 4441.22721875
transcript.pyannote[308].end 4441.29471875
transcript.pyannote[309].speaker SPEAKER_23
transcript.pyannote[309].start 4442.44221875
transcript.pyannote[309].end 4443.18471875
transcript.pyannote[310].speaker SPEAKER_04
transcript.pyannote[310].start 4442.52659375
transcript.pyannote[310].end 4462.37159375
transcript.pyannote[311].speaker SPEAKER_18
transcript.pyannote[311].start 4443.18471875
transcript.pyannote[311].end 4443.23534375
transcript.pyannote[312].speaker SPEAKER_18
transcript.pyannote[312].start 4449.59721875
transcript.pyannote[312].end 4450.87971875
transcript.pyannote[313].speaker SPEAKER_15
transcript.pyannote[313].start 4455.11534375
transcript.pyannote[313].end 4455.45284375
transcript.pyannote[314].speaker SPEAKER_15
transcript.pyannote[314].start 4462.47284375
transcript.pyannote[314].end 4465.20659375
transcript.pyannote[315].speaker SPEAKER_04
transcript.pyannote[315].start 4463.46846875
transcript.pyannote[315].end 4488.88221875
transcript.pyannote[316].speaker SPEAKER_15
transcript.pyannote[316].start 4466.82659375
transcript.pyannote[316].end 4467.50159375
transcript.pyannote[317].speaker SPEAKER_15
transcript.pyannote[317].start 4489.65846875
transcript.pyannote[317].end 4489.67534375
transcript.pyannote[318].speaker SPEAKER_14
transcript.pyannote[318].start 4489.67534375
transcript.pyannote[318].end 4489.86096875
transcript.pyannote[319].speaker SPEAKER_15
transcript.pyannote[319].start 4489.86096875
transcript.pyannote[319].end 4490.02971875
transcript.pyannote[320].speaker SPEAKER_14
transcript.pyannote[320].start 4490.02971875
transcript.pyannote[320].end 4502.33159375
transcript.pyannote[321].speaker SPEAKER_14
transcript.pyannote[321].start 4502.82096875
transcript.pyannote[321].end 4515.93284375
transcript.pyannote[322].speaker SPEAKER_14
transcript.pyannote[322].start 4516.42221875
transcript.pyannote[322].end 4528.72409375
transcript.pyannote[323].speaker SPEAKER_14
transcript.pyannote[323].start 4528.99409375
transcript.pyannote[323].end 4531.72784375
transcript.pyannote[324].speaker SPEAKER_14
transcript.pyannote[324].start 4531.84596875
transcript.pyannote[324].end 4537.78596875
transcript.pyannote[325].speaker SPEAKER_15
transcript.pyannote[325].start 4541.36346875
transcript.pyannote[325].end 4541.65034375
transcript.pyannote[326].speaker SPEAKER_15
transcript.pyannote[326].start 4542.54471875
transcript.pyannote[326].end 4542.91596875
transcript.pyannote[327].speaker SPEAKER_15
transcript.pyannote[327].start 4543.08471875
transcript.pyannote[327].end 4543.99596875
transcript.pyannote[328].speaker SPEAKER_15
transcript.pyannote[328].start 4544.24909375
transcript.pyannote[328].end 4544.78909375
transcript.pyannote[329].speaker SPEAKER_15
transcript.pyannote[329].start 4546.25721875
transcript.pyannote[329].end 4548.24846875
transcript.pyannote[330].speaker SPEAKER_15
transcript.pyannote[330].start 4548.46784375
transcript.pyannote[330].end 4549.98659375
transcript.pyannote[331].speaker SPEAKER_15
transcript.pyannote[331].start 4550.23971875
transcript.pyannote[331].end 4550.57721875
transcript.pyannote[332].speaker SPEAKER_15
transcript.pyannote[332].start 4551.26909375
transcript.pyannote[332].end 4551.99471875
transcript.pyannote[333].speaker SPEAKER_15
transcript.pyannote[333].start 4552.43346875
transcript.pyannote[333].end 4554.79596875
transcript.pyannote[334].speaker SPEAKER_14
transcript.pyannote[334].start 4552.70346875
transcript.pyannote[334].end 4565.24159375
transcript.pyannote[335].speaker SPEAKER_15
transcript.pyannote[335].start 4554.81284375
transcript.pyannote[335].end 4555.01534375
transcript.pyannote[336].speaker SPEAKER_15
transcript.pyannote[336].start 4555.04909375
transcript.pyannote[336].end 4555.62284375
transcript.pyannote[337].speaker SPEAKER_14
transcript.pyannote[337].start 4565.49471875
transcript.pyannote[337].end 4627.98284375
transcript.pyannote[338].speaker SPEAKER_07
transcript.pyannote[338].start 4631.61096875
transcript.pyannote[338].end 4631.66159375
transcript.pyannote[339].speaker SPEAKER_15
transcript.pyannote[339].start 4633.33221875
transcript.pyannote[339].end 4656.67034375
transcript.pyannote[340].speaker SPEAKER_15
transcript.pyannote[340].start 4657.34534375
transcript.pyannote[340].end 4658.22284375
transcript.pyannote[341].speaker SPEAKER_15
transcript.pyannote[341].start 4662.59346875
transcript.pyannote[341].end 4665.83346875
transcript.pyannote[342].speaker SPEAKER_04
transcript.pyannote[342].start 4665.91784375
transcript.pyannote[342].end 4667.57159375
transcript.pyannote[343].speaker SPEAKER_15
transcript.pyannote[343].start 4668.46596875
transcript.pyannote[343].end 4668.76971875
transcript.pyannote[344].speaker SPEAKER_13
transcript.pyannote[344].start 4668.76971875
transcript.pyannote[344].end 4668.78659375
transcript.pyannote[345].speaker SPEAKER_15
transcript.pyannote[345].start 4670.57534375
transcript.pyannote[345].end 4670.84534375
transcript.pyannote[346].speaker SPEAKER_15
transcript.pyannote[346].start 4672.54971875
transcript.pyannote[346].end 4673.15721875
transcript.pyannote[347].speaker SPEAKER_15
transcript.pyannote[347].start 4673.41034375
transcript.pyannote[347].end 4673.93346875
transcript.pyannote[348].speaker SPEAKER_15
transcript.pyannote[348].start 4677.25784375
transcript.pyannote[348].end 4677.89909375
transcript.pyannote[349].speaker SPEAKER_15
transcript.pyannote[349].start 4678.11846875
transcript.pyannote[349].end 4678.62471875
transcript.pyannote[350].speaker SPEAKER_15
transcript.pyannote[350].start 4678.87784375
transcript.pyannote[350].end 4679.62034375
transcript.pyannote[351].speaker SPEAKER_15
transcript.pyannote[351].start 4680.04221875
transcript.pyannote[351].end 4680.80159375
transcript.pyannote[352].speaker SPEAKER_18
transcript.pyannote[352].start 4684.02471875
transcript.pyannote[352].end 4686.60659375
transcript.pyannote[353].speaker SPEAKER_20
transcript.pyannote[353].start 4691.82096875
transcript.pyannote[353].end 4695.04409375
transcript.pyannote[354].speaker SPEAKER_15
transcript.pyannote[354].start 4694.60534375
transcript.pyannote[354].end 4695.75284375
transcript.pyannote[355].speaker SPEAKER_20
transcript.pyannote[355].start 4695.68534375
transcript.pyannote[355].end 4702.16534375
transcript.pyannote[356].speaker SPEAKER_15
transcript.pyannote[356].start 4698.26721875
transcript.pyannote[356].end 4699.02659375
transcript.pyannote[357].speaker SPEAKER_15
transcript.pyannote[357].start 4701.49034375
transcript.pyannote[357].end 4702.78971875
transcript.pyannote[358].speaker SPEAKER_20
transcript.pyannote[358].start 4702.78971875
transcript.pyannote[358].end 4708.71284375
transcript.pyannote[359].speaker SPEAKER_20
transcript.pyannote[359].start 4709.10096875
transcript.pyannote[359].end 4712.13846875
transcript.pyannote[360].speaker SPEAKER_20
transcript.pyannote[360].start 4712.35784375
transcript.pyannote[360].end 4714.73721875
transcript.pyannote[361].speaker SPEAKER_20
transcript.pyannote[361].start 4715.42909375
transcript.pyannote[361].end 4716.32346875
transcript.pyannote[362].speaker SPEAKER_15
transcript.pyannote[362].start 4715.54721875
transcript.pyannote[362].end 4718.63534375
transcript.pyannote[363].speaker SPEAKER_20
transcript.pyannote[363].start 4717.77471875
transcript.pyannote[363].end 4721.25096875
transcript.pyannote[364].speaker SPEAKER_20
transcript.pyannote[364].start 4721.77409375
transcript.pyannote[364].end 4722.04409375
transcript.pyannote[365].speaker SPEAKER_20
transcript.pyannote[365].start 4722.53346875
transcript.pyannote[365].end 4724.11971875
transcript.pyannote[366].speaker SPEAKER_08
transcript.pyannote[366].start 4726.92096875
transcript.pyannote[366].end 4727.54534375
transcript.pyannote[367].speaker SPEAKER_08
transcript.pyannote[367].start 4727.81534375
transcript.pyannote[367].end 4736.06721875
transcript.pyannote[368].speaker SPEAKER_08
transcript.pyannote[368].start 4736.55659375
transcript.pyannote[368].end 4754.54534375
transcript.pyannote[369].speaker SPEAKER_08
transcript.pyannote[369].start 4754.59596875
transcript.pyannote[369].end 4757.71784375
transcript.pyannote[370].speaker SPEAKER_08
transcript.pyannote[370].start 4757.86971875
transcript.pyannote[370].end 4767.06659375
transcript.pyannote[371].speaker SPEAKER_08
transcript.pyannote[371].start 4767.38721875
transcript.pyannote[371].end 4791.11346875
transcript.pyannote[372].speaker SPEAKER_15
transcript.pyannote[372].start 4792.80096875
transcript.pyannote[372].end 4793.18909375
transcript.pyannote[373].speaker SPEAKER_15
transcript.pyannote[373].start 4793.29034375
transcript.pyannote[373].end 4794.62346875
transcript.pyannote[374].speaker SPEAKER_15
transcript.pyannote[374].start 4794.97784375
transcript.pyannote[374].end 4795.75409375
transcript.pyannote[375].speaker SPEAKER_15
transcript.pyannote[375].start 4796.58096875
transcript.pyannote[375].end 4797.00284375
transcript.pyannote[376].speaker SPEAKER_15
transcript.pyannote[376].start 4797.34034375
transcript.pyannote[376].end 4798.70721875
transcript.pyannote[377].speaker SPEAKER_15
transcript.pyannote[377].start 4800.42846875
transcript.pyannote[377].end 4800.86721875
transcript.pyannote[378].speaker SPEAKER_15
transcript.pyannote[378].start 4800.96846875
transcript.pyannote[378].end 4800.98534375
transcript.pyannote[379].speaker SPEAKER_15
transcript.pyannote[379].start 4801.13721875
transcript.pyannote[379].end 4804.86659375
transcript.pyannote[380].speaker SPEAKER_15
transcript.pyannote[380].start 4805.00159375
transcript.pyannote[380].end 4805.01846875
transcript.pyannote[381].speaker SPEAKER_19
transcript.pyannote[381].start 4805.01846875
transcript.pyannote[381].end 4846.00784375
transcript.pyannote[382].speaker SPEAKER_18
transcript.pyannote[382].start 4846.54784375
transcript.pyannote[382].end 4849.73721875
transcript.pyannote[383].speaker SPEAKER_18
transcript.pyannote[383].start 4849.97346875
transcript.pyannote[383].end 4850.02409375
transcript.pyannote[384].speaker SPEAKER_11
transcript.pyannote[384].start 4853.17971875
transcript.pyannote[384].end 4854.17534375
transcript.pyannote[385].speaker SPEAKER_11
transcript.pyannote[385].start 4857.01034375
transcript.pyannote[385].end 4864.60409375
transcript.pyannote[386].speaker SPEAKER_11
transcript.pyannote[386].start 4865.39721875
transcript.pyannote[386].end 4867.55721875
transcript.pyannote[387].speaker SPEAKER_11
transcript.pyannote[387].start 4867.92846875
transcript.pyannote[387].end 4869.73409375
transcript.pyannote[388].speaker SPEAKER_11
transcript.pyannote[388].start 4869.97034375
transcript.pyannote[388].end 4873.90221875
transcript.pyannote[389].speaker SPEAKER_11
transcript.pyannote[389].start 4874.45909375
transcript.pyannote[389].end 4875.94409375
transcript.pyannote[390].speaker SPEAKER_11
transcript.pyannote[390].start 4878.44159375
transcript.pyannote[390].end 4888.00971875
transcript.pyannote[391].speaker SPEAKER_18
transcript.pyannote[391].start 4888.00971875
transcript.pyannote[391].end 4888.02659375
transcript.pyannote[392].speaker SPEAKER_18
transcript.pyannote[392].start 4888.21221875
transcript.pyannote[392].end 4888.29659375
transcript.pyannote[393].speaker SPEAKER_11
transcript.pyannote[393].start 4890.60846875
transcript.pyannote[393].end 4891.03034375
transcript.pyannote[394].speaker SPEAKER_14
transcript.pyannote[394].start 4891.03034375
transcript.pyannote[394].end 4892.65034375
transcript.pyannote[395].speaker SPEAKER_14
transcript.pyannote[395].start 4893.03846875
transcript.pyannote[395].end 4923.70034375
transcript.pyannote[396].speaker SPEAKER_18
transcript.pyannote[396].start 4932.96471875
transcript.pyannote[396].end 4934.80409375
transcript.pyannote[397].speaker SPEAKER_03
transcript.pyannote[397].start 4935.07409375
transcript.pyannote[397].end 4935.81659375
transcript.pyannote[398].speaker SPEAKER_18
transcript.pyannote[398].start 4935.54659375
transcript.pyannote[398].end 4936.39034375
transcript.pyannote[399].speaker SPEAKER_03
transcript.pyannote[399].start 4936.39034375
transcript.pyannote[399].end 4972.03034375
transcript.pyannote[400].speaker SPEAKER_03
transcript.pyannote[400].start 4972.41846875
transcript.pyannote[400].end 5040.39096875
transcript.pyannote[401].speaker SPEAKER_03
transcript.pyannote[401].start 5040.67784375
transcript.pyannote[401].end 5041.06596875
transcript.pyannote[402].speaker SPEAKER_03
transcript.pyannote[402].start 5041.63971875
transcript.pyannote[402].end 5042.01096875
transcript.pyannote[403].speaker SPEAKER_15
transcript.pyannote[403].start 5042.01096875
transcript.pyannote[403].end 5042.60159375
transcript.pyannote[404].speaker SPEAKER_04
transcript.pyannote[404].start 5042.01096875
transcript.pyannote[404].end 5043.58034375
transcript.pyannote[405].speaker SPEAKER_04
transcript.pyannote[405].start 5043.83346875
transcript.pyannote[405].end 5043.98534375
transcript.pyannote[406].speaker SPEAKER_15
transcript.pyannote[406].start 5044.25534375
transcript.pyannote[406].end 5045.47034375
transcript.pyannote[407].speaker SPEAKER_04
transcript.pyannote[407].start 5044.60971875
transcript.pyannote[407].end 5092.93971875
transcript.pyannote[408].speaker SPEAKER_15
transcript.pyannote[408].start 5091.25221875
transcript.pyannote[408].end 5093.05784375
transcript.pyannote[409].speaker SPEAKER_15
transcript.pyannote[409].start 5093.20971875
transcript.pyannote[409].end 5105.15721875
transcript.pyannote[410].speaker SPEAKER_04
transcript.pyannote[410].start 5095.47096875
transcript.pyannote[410].end 5095.97721875
transcript.pyannote[411].speaker SPEAKER_04
transcript.pyannote[411].start 5098.55909375
transcript.pyannote[411].end 5098.87971875
transcript.pyannote[412].speaker SPEAKER_06
transcript.pyannote[412].start 5103.68909375
transcript.pyannote[412].end 5106.57471875
transcript.pyannote[413].speaker SPEAKER_15
transcript.pyannote[413].start 5105.30909375
transcript.pyannote[413].end 5106.05159375
transcript.pyannote[414].speaker SPEAKER_15
transcript.pyannote[414].start 5106.65909375
transcript.pyannote[414].end 5107.55346875
transcript.pyannote[415].speaker SPEAKER_13
transcript.pyannote[415].start 5107.55346875
transcript.pyannote[415].end 5107.60409375
transcript.pyannote[416].speaker SPEAKER_06
transcript.pyannote[416].start 5108.17784375
transcript.pyannote[416].end 5188.28346875
transcript.pyannote[417].speaker SPEAKER_13
transcript.pyannote[417].start 5111.46846875
transcript.pyannote[417].end 5111.94096875
transcript.pyannote[418].speaker SPEAKER_18
transcript.pyannote[418].start 5123.44971875
transcript.pyannote[418].end 5124.32721875
transcript.pyannote[419].speaker SPEAKER_00
transcript.pyannote[419].start 5124.32721875
transcript.pyannote[419].end 5124.34409375
transcript.pyannote[420].speaker SPEAKER_00
transcript.pyannote[420].start 5164.20284375
transcript.pyannote[420].end 5164.23659375
transcript.pyannote[421].speaker SPEAKER_03
transcript.pyannote[421].start 5164.23659375
transcript.pyannote[421].end 5164.57409375
transcript.pyannote[422].speaker SPEAKER_06
transcript.pyannote[422].start 5188.75596875
transcript.pyannote[422].end 5192.89034375
transcript.pyannote[423].speaker SPEAKER_06
transcript.pyannote[423].start 5192.90721875
transcript.pyannote[423].end 5192.92409375
transcript.pyannote[424].speaker SPEAKER_14
transcript.pyannote[424].start 5192.95784375
transcript.pyannote[424].end 5195.40471875
transcript.pyannote[425].speaker SPEAKER_14
transcript.pyannote[425].start 5195.67471875
transcript.pyannote[425].end 5232.81659375
transcript.pyannote[426].speaker SPEAKER_14
transcript.pyannote[426].start 5233.13721875
transcript.pyannote[426].end 5256.62721875
transcript.pyannote[427].speaker SPEAKER_18
transcript.pyannote[427].start 5256.76221875
transcript.pyannote[427].end 5257.18409375
transcript.pyannote[428].speaker SPEAKER_14
transcript.pyannote[428].start 5257.11659375
transcript.pyannote[428].end 5268.55784375
transcript.pyannote[429].speaker SPEAKER_14
transcript.pyannote[429].start 5269.55346875
transcript.pyannote[429].end 5272.67534375
transcript.pyannote[430].speaker SPEAKER_14
transcript.pyannote[430].start 5273.60346875
transcript.pyannote[430].end 5274.61596875
transcript.pyannote[431].speaker SPEAKER_14
transcript.pyannote[431].start 5275.61159375
transcript.pyannote[431].end 5277.34971875
transcript.pyannote[432].speaker SPEAKER_14
transcript.pyannote[432].start 5277.72096875
transcript.pyannote[432].end 5285.04471875
transcript.pyannote[433].speaker SPEAKER_04
transcript.pyannote[433].start 5286.05721875
transcript.pyannote[433].end 5296.38471875
transcript.pyannote[434].speaker SPEAKER_14
transcript.pyannote[434].start 5287.66034375
transcript.pyannote[434].end 5288.45346875
transcript.pyannote[435].speaker SPEAKER_14
transcript.pyannote[435].start 5296.26659375
transcript.pyannote[435].end 5307.55596875
transcript.pyannote[436].speaker SPEAKER_14
transcript.pyannote[436].start 5308.07909375
transcript.pyannote[436].end 5310.17159375
transcript.pyannote[437].speaker SPEAKER_14
transcript.pyannote[437].start 5311.45409375
transcript.pyannote[437].end 5312.19659375
transcript.pyannote[438].speaker SPEAKER_04
transcript.pyannote[438].start 5311.65659375
transcript.pyannote[438].end 5316.75284375
transcript.pyannote[439].speaker SPEAKER_14
transcript.pyannote[439].start 5315.06534375
transcript.pyannote[439].end 5315.50409375
transcript.pyannote[440].speaker SPEAKER_14
transcript.pyannote[440].start 5316.04409375
transcript.pyannote[440].end 5319.36846875
transcript.pyannote[441].speaker SPEAKER_18
transcript.pyannote[441].start 5319.36846875
transcript.pyannote[441].end 5319.38534375
transcript.pyannote[442].speaker SPEAKER_14
transcript.pyannote[442].start 5321.47784375
transcript.pyannote[442].end 5322.64221875
transcript.pyannote[443].speaker SPEAKER_18
transcript.pyannote[443].start 5321.95034375
transcript.pyannote[443].end 5322.57471875
transcript.pyannote[444].speaker SPEAKER_18
transcript.pyannote[444].start 5322.64221875
transcript.pyannote[444].end 5322.65909375
transcript.pyannote[445].speaker SPEAKER_18
transcript.pyannote[445].start 5322.74346875
transcript.pyannote[445].end 5324.65034375
transcript.pyannote[446].speaker SPEAKER_14
transcript.pyannote[446].start 5325.30846875
transcript.pyannote[446].end 5327.08034375
transcript.pyannote[447].speaker SPEAKER_14
transcript.pyannote[447].start 5327.63721875
transcript.pyannote[447].end 5335.58534375
transcript.pyannote[448].speaker SPEAKER_14
transcript.pyannote[448].start 5336.04096875
transcript.pyannote[448].end 5338.09971875
transcript.pyannote[449].speaker SPEAKER_04
transcript.pyannote[449].start 5338.09971875
transcript.pyannote[449].end 5342.74034375
transcript.pyannote[450].speaker SPEAKER_14
transcript.pyannote[450].start 5342.55471875
transcript.pyannote[450].end 5347.24596875
transcript.pyannote[451].speaker SPEAKER_04
transcript.pyannote[451].start 5346.58784375
transcript.pyannote[451].end 5362.07909375
transcript.pyannote[452].speaker SPEAKER_14
transcript.pyannote[452].start 5361.20159375
transcript.pyannote[452].end 5364.84659375
transcript.pyannote[453].speaker SPEAKER_18
transcript.pyannote[453].start 5362.07909375
transcript.pyannote[453].end 5362.12971875
transcript.pyannote[454].speaker SPEAKER_14
transcript.pyannote[454].start 5364.89721875
transcript.pyannote[454].end 5371.25909375
transcript.pyannote[455].speaker SPEAKER_04
transcript.pyannote[455].start 5371.25909375
transcript.pyannote[455].end 5378.49846875
transcript.pyannote[456].speaker SPEAKER_14
transcript.pyannote[456].start 5371.27596875
transcript.pyannote[456].end 5371.30971875
transcript.pyannote[457].speaker SPEAKER_22
transcript.pyannote[457].start 5378.49846875
transcript.pyannote[457].end 5378.53221875
transcript.pyannote[458].speaker SPEAKER_04
transcript.pyannote[458].start 5378.53221875
transcript.pyannote[458].end 5378.54909375
transcript.pyannote[459].speaker SPEAKER_22
transcript.pyannote[459].start 5378.54909375
transcript.pyannote[459].end 5379.02159375
transcript.pyannote[460].speaker SPEAKER_04
transcript.pyannote[460].start 5379.02159375
transcript.pyannote[460].end 5379.12284375
transcript.pyannote[461].speaker SPEAKER_22
transcript.pyannote[461].start 5379.12284375
transcript.pyannote[461].end 5379.15659375
transcript.pyannote[462].speaker SPEAKER_18
transcript.pyannote[462].start 5379.15659375
transcript.pyannote[462].end 5379.37596875
transcript.pyannote[463].speaker SPEAKER_22
transcript.pyannote[463].start 5379.37596875
transcript.pyannote[463].end 5379.46034375
transcript.pyannote[464].speaker SPEAKER_04
transcript.pyannote[464].start 5379.46034375
transcript.pyannote[464].end 5379.91596875
transcript.pyannote[465].speaker SPEAKER_18
transcript.pyannote[465].start 5379.54471875
transcript.pyannote[465].end 5379.67971875
transcript.pyannote[466].speaker SPEAKER_18
transcript.pyannote[466].start 5379.91596875
transcript.pyannote[466].end 5380.00034375
transcript.pyannote[467].speaker SPEAKER_21
transcript.pyannote[467].start 5382.27846875
transcript.pyannote[467].end 5382.88596875
transcript.pyannote[468].speaker SPEAKER_04
transcript.pyannote[468].start 5382.53159375
transcript.pyannote[468].end 5382.68346875
transcript.pyannote[469].speaker SPEAKER_18
transcript.pyannote[469].start 5382.95346875
transcript.pyannote[469].end 5383.83096875
transcript.pyannote[470].speaker SPEAKER_18
transcript.pyannote[470].start 5383.96596875
transcript.pyannote[470].end 5384.18534375
transcript.pyannote[471].speaker SPEAKER_21
transcript.pyannote[471].start 5384.18534375
transcript.pyannote[471].end 5385.16409375
transcript.pyannote[472].speaker SPEAKER_21
transcript.pyannote[472].start 5385.46784375
transcript.pyannote[472].end 5390.47971875
transcript.pyannote[473].speaker SPEAKER_18
transcript.pyannote[473].start 5387.40846875
transcript.pyannote[473].end 5388.69096875
transcript.pyannote[474].speaker SPEAKER_21
transcript.pyannote[474].start 5390.98596875
transcript.pyannote[474].end 5398.59659375
transcript.pyannote[475].speaker SPEAKER_14
transcript.pyannote[475].start 5396.08221875
transcript.pyannote[475].end 5396.11596875
transcript.pyannote[476].speaker SPEAKER_18
transcript.pyannote[476].start 5396.11596875
transcript.pyannote[476].end 5396.21721875
transcript.pyannote[477].speaker SPEAKER_14
transcript.pyannote[477].start 5396.21721875
transcript.pyannote[477].end 5397.14534375
transcript.pyannote[478].speaker SPEAKER_14
transcript.pyannote[478].start 5399.23784375
transcript.pyannote[478].end 5403.89534375
transcript.pyannote[479].speaker SPEAKER_04
transcript.pyannote[479].start 5402.27534375
transcript.pyannote[479].end 5404.09784375
transcript.pyannote[480].speaker SPEAKER_04
transcript.pyannote[480].start 5404.97534375
transcript.pyannote[480].end 5405.02596875
transcript.pyannote[481].speaker SPEAKER_04
transcript.pyannote[481].start 5405.86971875
transcript.pyannote[481].end 5409.54846875
transcript.pyannote[482].speaker SPEAKER_16
transcript.pyannote[482].start 5408.08034375
transcript.pyannote[482].end 5410.94909375
transcript.pyannote[483].speaker SPEAKER_21
transcript.pyannote[483].start 5409.54846875
transcript.pyannote[483].end 5409.71721875
transcript.pyannote[484].speaker SPEAKER_21
transcript.pyannote[484].start 5410.94909375
transcript.pyannote[484].end 5411.05034375
transcript.pyannote[485].speaker SPEAKER_21
transcript.pyannote[485].start 5411.97846875
transcript.pyannote[485].end 5412.04596875
transcript.pyannote[486].speaker SPEAKER_16
transcript.pyannote[486].start 5412.04596875
transcript.pyannote[486].end 5412.07971875
transcript.pyannote[487].speaker SPEAKER_13
transcript.pyannote[487].start 5412.07971875
transcript.pyannote[487].end 5412.33284375
transcript.pyannote[488].speaker SPEAKER_16
transcript.pyannote[488].start 5412.33284375
transcript.pyannote[488].end 5412.38346875
transcript.pyannote[489].speaker SPEAKER_21
transcript.pyannote[489].start 5412.38346875
transcript.pyannote[489].end 5412.40034375
transcript.pyannote[490].speaker SPEAKER_21
transcript.pyannote[490].start 5412.65346875
transcript.pyannote[490].end 5412.67034375
transcript.pyannote[491].speaker SPEAKER_16
transcript.pyannote[491].start 5412.67034375
transcript.pyannote[491].end 5413.32846875
transcript.pyannote[492].speaker SPEAKER_16
transcript.pyannote[492].start 5413.90221875
transcript.pyannote[492].end 5415.92721875
transcript.pyannote[493].speaker SPEAKER_15
transcript.pyannote[493].start 5414.98221875
transcript.pyannote[493].end 5415.84284375
transcript.pyannote[494].speaker SPEAKER_16
transcript.pyannote[494].start 5416.63596875
transcript.pyannote[494].end 5420.43284375
transcript.pyannote[495].speaker SPEAKER_15
transcript.pyannote[495].start 5417.49659375
transcript.pyannote[495].end 5417.66534375
transcript.pyannote[496].speaker SPEAKER_15
transcript.pyannote[496].start 5418.77909375
transcript.pyannote[496].end 5420.48346875
transcript.pyannote[497].speaker SPEAKER_16
transcript.pyannote[497].start 5420.48346875
transcript.pyannote[497].end 5420.97284375
transcript.pyannote[498].speaker SPEAKER_15
transcript.pyannote[498].start 5420.97284375
transcript.pyannote[498].end 5422.76159375
transcript.pyannote[499].speaker SPEAKER_16
transcript.pyannote[499].start 5421.12471875
transcript.pyannote[499].end 5421.39471875
transcript.pyannote[500].speaker SPEAKER_16
transcript.pyannote[500].start 5421.41159375
transcript.pyannote[500].end 5421.42846875
transcript.pyannote[501].speaker SPEAKER_15
transcript.pyannote[501].start 5423.03159375
transcript.pyannote[501].end 5423.55471875
transcript.pyannote[502].speaker SPEAKER_11
transcript.pyannote[502].start 5423.55471875
transcript.pyannote[502].end 5423.58846875
transcript.pyannote[503].speaker SPEAKER_15
transcript.pyannote[503].start 5423.58846875
transcript.pyannote[503].end 5423.77409375
transcript.pyannote[504].speaker SPEAKER_11
transcript.pyannote[504].start 5423.74034375
transcript.pyannote[504].end 5423.95971875
transcript.pyannote[505].speaker SPEAKER_15
transcript.pyannote[505].start 5423.99346875
transcript.pyannote[505].end 5424.02721875
transcript.pyannote[506].speaker SPEAKER_15
transcript.pyannote[506].start 5424.53346875
transcript.pyannote[506].end 5424.66846875
transcript.pyannote[507].speaker SPEAKER_11
transcript.pyannote[507].start 5425.59659375
transcript.pyannote[507].end 5445.86346875
transcript.pyannote[508].speaker SPEAKER_00
transcript.pyannote[508].start 5440.83471875
transcript.pyannote[508].end 5441.27346875
transcript.pyannote[509].speaker SPEAKER_18
transcript.pyannote[509].start 5441.27346875
transcript.pyannote[509].end 5442.03284375
transcript.pyannote[510].speaker SPEAKER_00
transcript.pyannote[510].start 5442.03284375
transcript.pyannote[510].end 5443.34909375
transcript.pyannote[511].speaker SPEAKER_00
transcript.pyannote[511].start 5443.39971875
transcript.pyannote[511].end 5443.45034375
transcript.pyannote[512].speaker SPEAKER_11
transcript.pyannote[512].start 5446.53846875
transcript.pyannote[512].end 5449.86284375
transcript.pyannote[513].speaker SPEAKER_18
transcript.pyannote[513].start 5449.86284375
transcript.pyannote[513].end 5450.20034375
transcript.pyannote[514].speaker SPEAKER_11
transcript.pyannote[514].start 5450.11596875
transcript.pyannote[514].end 5452.98471875
transcript.pyannote[515].speaker SPEAKER_11
transcript.pyannote[515].start 5455.26284375
transcript.pyannote[515].end 5463.19409375
transcript.pyannote[516].speaker SPEAKER_21
transcript.pyannote[516].start 5455.75221875
transcript.pyannote[516].end 5456.96721875
transcript.pyannote[517].speaker SPEAKER_18
transcript.pyannote[517].start 5462.72159375
transcript.pyannote[517].end 5462.77221875
transcript.pyannote[518].speaker SPEAKER_11
transcript.pyannote[518].start 5463.73409375
transcript.pyannote[518].end 5464.66221875
transcript.pyannote[519].speaker SPEAKER_11
transcript.pyannote[519].start 5464.96596875
transcript.pyannote[519].end 5468.20596875
transcript.pyannote[520].speaker SPEAKER_11
transcript.pyannote[520].start 5468.39159375
transcript.pyannote[520].end 5471.93534375
transcript.pyannote[521].speaker SPEAKER_18
transcript.pyannote[521].start 5472.08721875
transcript.pyannote[521].end 5472.50909375
transcript.pyannote[522].speaker SPEAKER_11
transcript.pyannote[522].start 5472.49221875
transcript.pyannote[522].end 5478.97221875
transcript.pyannote[523].speaker SPEAKER_11
transcript.pyannote[523].start 5479.15784375
transcript.pyannote[523].end 5482.48221875
transcript.pyannote[524].speaker SPEAKER_11
transcript.pyannote[524].start 5483.24159375
transcript.pyannote[524].end 5528.26409375
transcript.pyannote[525].speaker SPEAKER_18
transcript.pyannote[525].start 5486.65034375
transcript.pyannote[525].end 5486.70096875
transcript.pyannote[526].speaker SPEAKER_18
transcript.pyannote[526].start 5529.04034375
transcript.pyannote[526].end 5529.27659375
transcript.pyannote[527].speaker SPEAKER_19
transcript.pyannote[527].start 5530.35659375
transcript.pyannote[527].end 5530.37346875
transcript.pyannote[528].speaker SPEAKER_08
transcript.pyannote[528].start 5530.37346875
transcript.pyannote[528].end 5550.03284375
transcript.pyannote[529].speaker SPEAKER_08
transcript.pyannote[529].start 5550.23534375
transcript.pyannote[529].end 5561.30534375
transcript.pyannote[530].speaker SPEAKER_08
transcript.pyannote[530].start 5561.86221875
transcript.pyannote[530].end 5581.35284375
transcript.pyannote[531].speaker SPEAKER_13
transcript.pyannote[531].start 5583.54659375
transcript.pyannote[531].end 5583.90096875
transcript.pyannote[532].speaker SPEAKER_08
transcript.pyannote[532].start 5583.90096875
transcript.pyannote[532].end 5583.91784375
transcript.pyannote[533].speaker SPEAKER_13
transcript.pyannote[533].start 5583.91784375
transcript.pyannote[533].end 5583.95159375
transcript.pyannote[534].speaker SPEAKER_13
transcript.pyannote[534].start 5585.36909375
transcript.pyannote[534].end 5585.67284375
transcript.pyannote[535].speaker SPEAKER_15
transcript.pyannote[535].start 5585.67284375
transcript.pyannote[535].end 5585.68971875
transcript.pyannote[536].speaker SPEAKER_15
transcript.pyannote[536].start 5585.94284375
transcript.pyannote[536].end 5585.95971875
transcript.pyannote[537].speaker SPEAKER_13
transcript.pyannote[537].start 5585.95971875
transcript.pyannote[537].end 5586.97221875
transcript.pyannote[538].speaker SPEAKER_15
transcript.pyannote[538].start 5586.97221875
transcript.pyannote[538].end 5587.68096875
transcript.pyannote[539].speaker SPEAKER_15
transcript.pyannote[539].start 5588.33909375
transcript.pyannote[539].end 5600.20221875
transcript.pyannote[540].speaker SPEAKER_15
transcript.pyannote[540].start 5600.40471875
transcript.pyannote[540].end 5611.87971875
transcript.pyannote[541].speaker SPEAKER_15
transcript.pyannote[541].start 5612.06534375
transcript.pyannote[541].end 5616.80721875
transcript.pyannote[542].speaker SPEAKER_18
transcript.pyannote[542].start 5616.82409375
transcript.pyannote[542].end 5617.04346875
transcript.pyannote[543].speaker SPEAKER_15
transcript.pyannote[543].start 5617.73534375
transcript.pyannote[543].end 5618.61284375
transcript.pyannote[544].speaker SPEAKER_15
transcript.pyannote[544].start 5621.66721875
transcript.pyannote[544].end 5621.88659375
transcript.pyannote[545].speaker SPEAKER_15
transcript.pyannote[545].start 5623.47284375
transcript.pyannote[545].end 5624.06346875
transcript.pyannote[546].speaker SPEAKER_15
transcript.pyannote[546].start 5626.44284375
transcript.pyannote[546].end 5627.05034375
transcript.pyannote[547].speaker SPEAKER_15
transcript.pyannote[547].start 5627.75909375
transcript.pyannote[547].end 5628.48471875
transcript.pyannote[548].speaker SPEAKER_15
transcript.pyannote[548].start 5629.39596875
transcript.pyannote[548].end 5630.05409375
transcript.pyannote[549].speaker SPEAKER_15
transcript.pyannote[549].start 5630.64471875
transcript.pyannote[549].end 5632.06221875
transcript.pyannote[550].speaker SPEAKER_15
transcript.pyannote[550].start 5632.29846875
transcript.pyannote[550].end 5634.82971875
transcript.pyannote[551].speaker SPEAKER_15
transcript.pyannote[551].start 5635.42034375
transcript.pyannote[551].end 5635.89284375
transcript.pyannote[552].speaker SPEAKER_15
transcript.pyannote[552].start 5636.82096875
transcript.pyannote[552].end 5637.90096875
transcript.pyannote[553].speaker SPEAKER_15
transcript.pyannote[553].start 5638.05284375
transcript.pyannote[553].end 5641.93409375
transcript.pyannote[554].speaker SPEAKER_15
transcript.pyannote[554].start 5642.32221875
transcript.pyannote[554].end 5648.59971875
transcript.pyannote[555].speaker SPEAKER_15
transcript.pyannote[555].start 5648.95409375
transcript.pyannote[555].end 5651.41784375
transcript.pyannote[556].speaker SPEAKER_15
transcript.pyannote[556].start 5652.00846875
transcript.pyannote[556].end 5652.29534375
transcript.pyannote[557].speaker SPEAKER_15
transcript.pyannote[557].start 5653.32471875
transcript.pyannote[557].end 5654.20221875
transcript.pyannote[558].speaker SPEAKER_15
transcript.pyannote[558].start 5655.26534375
transcript.pyannote[558].end 5656.12596875
transcript.pyannote[559].speaker SPEAKER_15
transcript.pyannote[559].start 5657.17221875
transcript.pyannote[559].end 5659.14659375
transcript.pyannote[560].speaker SPEAKER_15
transcript.pyannote[560].start 5660.32784375
transcript.pyannote[560].end 5662.35284375
transcript.pyannote[561].speaker SPEAKER_00
transcript.pyannote[561].start 5661.84659375
transcript.pyannote[561].end 5662.26846875
transcript.pyannote[562].speaker SPEAKER_15
transcript.pyannote[562].start 5662.87596875
transcript.pyannote[562].end 5663.92221875
transcript.pyannote[563].speaker SPEAKER_00
transcript.pyannote[563].start 5664.19221875
transcript.pyannote[563].end 5676.62909375
transcript.pyannote[564].speaker SPEAKER_18
transcript.pyannote[564].start 5676.57846875
transcript.pyannote[564].end 5677.00034375
transcript.pyannote[565].speaker SPEAKER_00
transcript.pyannote[565].start 5677.00034375
transcript.pyannote[565].end 5677.03409375
transcript.pyannote[566].speaker SPEAKER_00
transcript.pyannote[566].start 5677.21971875
transcript.pyannote[566].end 5678.06346875
transcript.pyannote[567].speaker SPEAKER_15
transcript.pyannote[567].start 5678.06346875
transcript.pyannote[567].end 5679.49784375
transcript.pyannote[568].speaker SPEAKER_15
transcript.pyannote[568].start 5682.58596875
transcript.pyannote[568].end 5687.93534375
transcript.pyannote[569].speaker SPEAKER_11
transcript.pyannote[569].start 5690.17971875
transcript.pyannote[569].end 5690.70284375
transcript.pyannote[570].speaker SPEAKER_11
transcript.pyannote[570].start 5690.71971875
transcript.pyannote[570].end 5691.15846875
transcript.pyannote[571].speaker SPEAKER_11
transcript.pyannote[571].start 5691.69846875
transcript.pyannote[571].end 5691.79971875
transcript.pyannote[572].speaker SPEAKER_11
transcript.pyannote[572].start 5691.96846875
transcript.pyannote[572].end 5692.62659375
transcript.pyannote[573].speaker SPEAKER_11
transcript.pyannote[573].start 5692.72784375
transcript.pyannote[573].end 5694.31409375
transcript.pyannote[574].speaker SPEAKER_15
transcript.pyannote[574].start 5694.31409375
transcript.pyannote[574].end 5702.22846875
transcript.pyannote[575].speaker SPEAKER_11
transcript.pyannote[575].start 5695.30971875
transcript.pyannote[575].end 5695.54596875
transcript.pyannote[576].speaker SPEAKER_11
transcript.pyannote[576].start 5695.56284375
transcript.pyannote[576].end 5695.96784375
transcript.pyannote[577].speaker SPEAKER_11
transcript.pyannote[577].start 5696.01846875
transcript.pyannote[577].end 5696.08596875
transcript.pyannote[578].speaker SPEAKER_11
transcript.pyannote[578].start 5696.27159375
transcript.pyannote[578].end 5696.35596875
transcript.pyannote[579].speaker SPEAKER_11
transcript.pyannote[579].start 5696.96346875
transcript.pyannote[579].end 5697.62159375
transcript.pyannote[580].speaker SPEAKER_11
transcript.pyannote[580].start 5702.98784375
transcript.pyannote[580].end 5706.51471875
transcript.pyannote[581].speaker SPEAKER_18
transcript.pyannote[581].start 5709.13034375
transcript.pyannote[581].end 5709.36659375
transcript.pyannote[582].speaker SPEAKER_08
transcript.pyannote[582].start 5709.36659375
transcript.pyannote[582].end 5709.51846875
transcript.pyannote[583].speaker SPEAKER_08
transcript.pyannote[583].start 5709.97409375
transcript.pyannote[583].end 5710.19346875
transcript.pyannote[584].speaker SPEAKER_08
transcript.pyannote[584].start 5710.34534375
transcript.pyannote[584].end 5710.44659375
transcript.pyannote[585].speaker SPEAKER_08
transcript.pyannote[585].start 5710.49721875
transcript.pyannote[585].end 5710.61534375
transcript.pyannote[586].speaker SPEAKER_08
transcript.pyannote[586].start 5711.20596875
transcript.pyannote[586].end 5711.49284375
transcript.pyannote[587].speaker SPEAKER_15
transcript.pyannote[587].start 5711.49284375
transcript.pyannote[587].end 5711.59409375
transcript.pyannote[588].speaker SPEAKER_18
transcript.pyannote[588].start 5711.59409375
transcript.pyannote[588].end 5711.83034375
transcript.pyannote[589].speaker SPEAKER_15
transcript.pyannote[589].start 5711.83034375
transcript.pyannote[589].end 5711.88096875
transcript.pyannote[590].speaker SPEAKER_18
transcript.pyannote[590].start 5711.88096875
transcript.pyannote[590].end 5712.03284375
transcript.pyannote[591].speaker SPEAKER_08
transcript.pyannote[591].start 5712.03284375
transcript.pyannote[591].end 5712.11721875
transcript.pyannote[592].speaker SPEAKER_15
transcript.pyannote[592].start 5712.11721875
transcript.pyannote[592].end 5712.50534375
transcript.pyannote[593].speaker SPEAKER_08
transcript.pyannote[593].start 5712.50534375
transcript.pyannote[593].end 5717.50034375
transcript.pyannote[594].speaker SPEAKER_15
transcript.pyannote[594].start 5712.97784375
transcript.pyannote[594].end 5713.60221875
transcript.pyannote[595].speaker SPEAKER_15
transcript.pyannote[595].start 5717.48346875
transcript.pyannote[595].end 5718.46221875
transcript.pyannote[596].speaker SPEAKER_08
transcript.pyannote[596].start 5717.97284375
transcript.pyannote[596].end 5718.44534375
transcript.pyannote[597].speaker SPEAKER_08
transcript.pyannote[597].start 5718.46221875
transcript.pyannote[597].end 5719.99784375
transcript.pyannote[598].speaker SPEAKER_15
transcript.pyannote[598].start 5719.99784375
transcript.pyannote[598].end 5724.79034375
transcript.pyannote[599].speaker SPEAKER_08
transcript.pyannote[599].start 5720.03159375
transcript.pyannote[599].end 5720.97659375
transcript.pyannote[600].speaker SPEAKER_15
transcript.pyannote[600].start 5725.41471875
transcript.pyannote[600].end 5729.07659375
transcript.pyannote[601].speaker SPEAKER_15
transcript.pyannote[601].start 5729.32971875
transcript.pyannote[601].end 5729.90346875
transcript.pyannote[602].speaker SPEAKER_15
transcript.pyannote[602].start 5731.38846875
transcript.pyannote[602].end 5733.16034375
transcript.pyannote[603].speaker SPEAKER_15
transcript.pyannote[603].start 5733.43034375
transcript.pyannote[603].end 5733.58221875
transcript.pyannote[604].speaker SPEAKER_15
transcript.pyannote[604].start 5734.15596875
transcript.pyannote[604].end 5736.53534375
transcript.pyannote[605].speaker SPEAKER_15
transcript.pyannote[605].start 5736.83909375
transcript.pyannote[605].end 5738.27346875
transcript.pyannote[606].speaker SPEAKER_18
transcript.pyannote[606].start 5740.90596875
transcript.pyannote[606].end 5741.19284375
transcript.pyannote[607].speaker SPEAKER_15
transcript.pyannote[607].start 5741.19284375
transcript.pyannote[607].end 5742.03659375
transcript.pyannote[608].speaker SPEAKER_18
transcript.pyannote[608].start 5741.37846875
transcript.pyannote[608].end 5743.11659375
transcript.pyannote[609].speaker SPEAKER_15
transcript.pyannote[609].start 5743.11659375
transcript.pyannote[609].end 5745.59721875
transcript.pyannote[610].speaker SPEAKER_18
transcript.pyannote[610].start 5743.16721875
transcript.pyannote[610].end 5743.18409375
transcript.pyannote[611].speaker SPEAKER_18
transcript.pyannote[611].start 5743.23471875
transcript.pyannote[611].end 5743.26846875
transcript.pyannote[612].speaker SPEAKER_15
transcript.pyannote[612].start 5748.07784375
transcript.pyannote[612].end 5749.02284375
transcript.pyannote[613].speaker SPEAKER_15
transcript.pyannote[613].start 5749.32659375
transcript.pyannote[613].end 5749.74846875
transcript.pyannote[614].speaker SPEAKER_15
transcript.pyannote[614].start 5749.95096875
transcript.pyannote[614].end 5751.36846875
transcript.pyannote[615].speaker SPEAKER_15
transcript.pyannote[615].start 5754.38909375
transcript.pyannote[615].end 5754.77721875
transcript.pyannote[616].speaker SPEAKER_15
transcript.pyannote[616].start 5755.67159375
transcript.pyannote[616].end 5757.64596875
transcript.pyannote[617].speaker SPEAKER_15
transcript.pyannote[617].start 5758.08471875
transcript.pyannote[617].end 5759.68784375
transcript.pyannote[618].speaker SPEAKER_15
transcript.pyannote[618].start 5760.68346875
transcript.pyannote[618].end 5762.11784375
transcript.pyannote[619].speaker SPEAKER_15
transcript.pyannote[619].start 5763.28221875
transcript.pyannote[619].end 5764.31159375
transcript.pyannote[620].speaker SPEAKER_15
transcript.pyannote[620].start 5764.80096875
transcript.pyannote[620].end 5765.66159375
transcript.pyannote[621].speaker SPEAKER_15
transcript.pyannote[621].start 5766.10034375
transcript.pyannote[621].end 5766.62346875
transcript.pyannote[622].speaker SPEAKER_15
transcript.pyannote[622].start 5767.19721875
transcript.pyannote[622].end 5770.35284375
transcript.pyannote[623].speaker SPEAKER_15
transcript.pyannote[623].start 5771.07846875
transcript.pyannote[623].end 5775.51659375
transcript.pyannote[624].speaker SPEAKER_15
transcript.pyannote[624].start 5775.66846875
transcript.pyannote[624].end 5777.01846875
transcript.pyannote[625].speaker SPEAKER_15
transcript.pyannote[625].start 5778.43596875
transcript.pyannote[625].end 5779.09409375
transcript.pyannote[626].speaker SPEAKER_15
transcript.pyannote[626].start 5792.05409375
transcript.pyannote[626].end 5793.65721875
transcript.pyannote[627].speaker SPEAKER_14
transcript.pyannote[627].start 5794.38284375
transcript.pyannote[627].end 5796.42471875
transcript.pyannote[628].speaker SPEAKER_15
transcript.pyannote[628].start 5799.02346875
transcript.pyannote[628].end 5799.04034375
transcript.pyannote[629].speaker SPEAKER_13
transcript.pyannote[629].start 5799.04034375
transcript.pyannote[629].end 5800.35659375
transcript.pyannote[630].speaker SPEAKER_18
transcript.pyannote[630].start 5805.09846875
transcript.pyannote[630].end 5805.16596875
transcript.pyannote[631].speaker SPEAKER_15
transcript.pyannote[631].start 5805.16596875
transcript.pyannote[631].end 5805.21659375
transcript.pyannote[632].speaker SPEAKER_18
transcript.pyannote[632].start 5805.21659375
transcript.pyannote[632].end 5805.36846875
transcript.pyannote[633].speaker SPEAKER_15
transcript.pyannote[633].start 5805.36846875
transcript.pyannote[633].end 5805.50346875
transcript.pyannote[634].speaker SPEAKER_18
transcript.pyannote[634].start 5805.50346875
transcript.pyannote[634].end 5805.57096875
transcript.pyannote[635].speaker SPEAKER_15
transcript.pyannote[635].start 5808.13596875
transcript.pyannote[635].end 5808.94596875
transcript.pyannote[636].speaker SPEAKER_15
transcript.pyannote[636].start 5809.23284375
transcript.pyannote[636].end 5813.38409375
transcript.pyannote[637].speaker SPEAKER_15
transcript.pyannote[637].start 5813.83971875
transcript.pyannote[637].end 5814.12659375
transcript.pyannote[638].speaker SPEAKER_15
transcript.pyannote[638].start 5814.66659375
transcript.pyannote[638].end 5815.15596875
transcript.pyannote[639].speaker SPEAKER_15
transcript.pyannote[639].start 5815.72971875
transcript.pyannote[639].end 5818.22721875
transcript.pyannote[640].speaker SPEAKER_07
transcript.pyannote[640].start 5820.97784375
transcript.pyannote[640].end 5821.02846875
transcript.pyannote[641].speaker SPEAKER_15
transcript.pyannote[641].start 5826.15846875
transcript.pyannote[641].end 5828.80784375
transcript.pyannote[642].speaker SPEAKER_15
transcript.pyannote[642].start 5829.29721875
transcript.pyannote[642].end 5832.68909375
transcript.pyannote[643].speaker SPEAKER_15
transcript.pyannote[643].start 5833.19534375
transcript.pyannote[643].end 5837.38034375
transcript.pyannote[644].speaker SPEAKER_15
transcript.pyannote[644].start 5837.68409375
transcript.pyannote[644].end 5839.21971875
transcript.pyannote[645].speaker SPEAKER_15
transcript.pyannote[645].start 5841.64971875
transcript.pyannote[645].end 5841.85221875
transcript.pyannote[646].speaker SPEAKER_08
transcript.pyannote[646].start 5844.61971875
transcript.pyannote[646].end 5893.01721875
transcript.pyannote[647].speaker SPEAKER_15
transcript.pyannote[647].start 5895.88596875
transcript.pyannote[647].end 5902.43346875
transcript.pyannote[648].speaker SPEAKER_15
transcript.pyannote[648].start 5902.77096875
transcript.pyannote[648].end 5904.50909375
transcript.pyannote[649].speaker SPEAKER_15
transcript.pyannote[649].start 5905.80846875
transcript.pyannote[649].end 5920.92846875
transcript.pyannote[650].speaker SPEAKER_15
transcript.pyannote[650].start 5921.36721875
transcript.pyannote[650].end 5933.98971875
transcript.pyannote[651].speaker SPEAKER_15
transcript.pyannote[651].start 5936.92596875
transcript.pyannote[651].end 5938.03971875
transcript.pyannote[652].speaker SPEAKER_11
transcript.pyannote[652].start 5938.03971875
transcript.pyannote[652].end 5938.05659375
transcript.pyannote[653].speaker SPEAKER_15
transcript.pyannote[653].start 5938.57971875
transcript.pyannote[653].end 5938.96784375
transcript.pyannote[654].speaker SPEAKER_11
transcript.pyannote[654].start 5938.96784375
transcript.pyannote[654].end 5939.72721875
transcript.pyannote[655].speaker SPEAKER_11
transcript.pyannote[655].start 5940.50346875
transcript.pyannote[655].end 5941.39784375
transcript.pyannote[656].speaker SPEAKER_11
transcript.pyannote[656].start 5942.07284375
transcript.pyannote[656].end 5944.50284375
transcript.pyannote[657].speaker SPEAKER_11
transcript.pyannote[657].start 5945.63346875
transcript.pyannote[657].end 5952.01221875
transcript.pyannote[658].speaker SPEAKER_11
transcript.pyannote[658].start 5952.33284375
transcript.pyannote[658].end 5956.29846875
transcript.pyannote[659].speaker SPEAKER_11
transcript.pyannote[659].start 5957.00721875
transcript.pyannote[659].end 5960.34846875
transcript.pyannote[660].speaker SPEAKER_11
transcript.pyannote[660].start 5962.59284375
transcript.pyannote[660].end 5963.72346875
transcript.pyannote[661].speaker SPEAKER_23
transcript.pyannote[661].start 5966.05221875
transcript.pyannote[661].end 5967.03096875
transcript.pyannote[662].speaker SPEAKER_11
transcript.pyannote[662].start 5967.09846875
transcript.pyannote[662].end 5968.54971875
transcript.pyannote[663].speaker SPEAKER_11
transcript.pyannote[663].start 5969.14034375
transcript.pyannote[663].end 5974.60784375
transcript.pyannote[664].speaker SPEAKER_23
transcript.pyannote[664].start 5969.24159375
transcript.pyannote[664].end 5969.54534375
transcript.pyannote[665].speaker SPEAKER_23
transcript.pyannote[665].start 5975.28284375
transcript.pyannote[665].end 5978.08409375
transcript.pyannote[666].speaker SPEAKER_23
transcript.pyannote[666].start 5978.92784375
transcript.pyannote[666].end 5979.95721875
transcript.pyannote[667].speaker SPEAKER_11
transcript.pyannote[667].start 5985.79596875
transcript.pyannote[667].end 5987.93909375
transcript.pyannote[668].speaker SPEAKER_11
transcript.pyannote[668].start 5987.97284375
transcript.pyannote[668].end 5988.02346875
transcript.pyannote[669].speaker SPEAKER_11
transcript.pyannote[669].start 5988.63096875
transcript.pyannote[669].end 5988.95159375
transcript.pyannote[670].speaker SPEAKER_11
transcript.pyannote[670].start 5988.96846875
transcript.pyannote[670].end 5990.03159375
transcript.pyannote[671].speaker SPEAKER_11
transcript.pyannote[671].start 5990.04846875
transcript.pyannote[671].end 5990.11596875
transcript.pyannote[672].speaker SPEAKER_11
transcript.pyannote[672].start 5990.94284375
transcript.pyannote[672].end 5991.02721875
transcript.pyannote[673].speaker SPEAKER_11
transcript.pyannote[673].start 5991.49971875
transcript.pyannote[673].end 5991.83721875
transcript.pyannote[674].speaker SPEAKER_15
transcript.pyannote[674].start 5992.51221875
transcript.pyannote[674].end 5994.75659375
transcript.pyannote[675].speaker SPEAKER_15
transcript.pyannote[675].start 5994.89159375
transcript.pyannote[675].end 5995.44846875
transcript.pyannote[676].speaker SPEAKER_21
transcript.pyannote[676].start 5995.44846875
transcript.pyannote[676].end 5995.85346875
transcript.pyannote[677].speaker SPEAKER_15
transcript.pyannote[677].start 5995.85346875
transcript.pyannote[677].end 5997.01784375
transcript.pyannote[678].speaker SPEAKER_21
transcript.pyannote[678].start 5996.15721875
transcript.pyannote[678].end 5996.19096875
transcript.pyannote[679].speaker SPEAKER_21
transcript.pyannote[679].start 5996.20784375
transcript.pyannote[679].end 5996.30909375
transcript.pyannote[680].speaker SPEAKER_21
transcript.pyannote[680].start 5996.42721875
transcript.pyannote[680].end 5996.83221875
transcript.pyannote[681].speaker SPEAKER_21
transcript.pyannote[681].start 5997.01784375
transcript.pyannote[681].end 5997.16971875
transcript.pyannote[682].speaker SPEAKER_21
transcript.pyannote[682].start 5998.97534375
transcript.pyannote[682].end 6000.94971875
transcript.pyannote[683].speaker SPEAKER_21
transcript.pyannote[683].start 6000.96659375
transcript.pyannote[683].end 6001.03409375
transcript.pyannote[684].speaker SPEAKER_21
transcript.pyannote[684].start 6001.32096875
transcript.pyannote[684].end 6009.97784375
transcript.pyannote[685].speaker SPEAKER_15
transcript.pyannote[685].start 6002.87346875
transcript.pyannote[685].end 6003.02534375
transcript.pyannote[686].speaker SPEAKER_18
transcript.pyannote[686].start 6003.02534375
transcript.pyannote[686].end 6003.41346875
transcript.pyannote[687].speaker SPEAKER_15
transcript.pyannote[687].start 6003.41346875
transcript.pyannote[687].end 6003.64971875
transcript.pyannote[688].speaker SPEAKER_15
transcript.pyannote[688].start 6003.71721875
transcript.pyannote[688].end 6003.73409375
transcript.pyannote[689].speaker SPEAKER_15
transcript.pyannote[689].start 6005.57346875
transcript.pyannote[689].end 6006.11346875
transcript.pyannote[690].speaker SPEAKER_18
transcript.pyannote[690].start 6006.11346875
transcript.pyannote[690].end 6006.21471875
transcript.pyannote[691].speaker SPEAKER_18
transcript.pyannote[691].start 6009.97784375
transcript.pyannote[691].end 6013.03221875
transcript.pyannote[692].speaker SPEAKER_15
transcript.pyannote[692].start 6013.45409375
transcript.pyannote[692].end 6016.23846875
transcript.pyannote[693].speaker SPEAKER_02
transcript.pyannote[693].start 6019.05659375
transcript.pyannote[693].end 6059.10096875
transcript.pyannote[694].speaker SPEAKER_02
transcript.pyannote[694].start 6059.33721875
transcript.pyannote[694].end 6065.74971875
transcript.pyannote[695].speaker SPEAKER_02
transcript.pyannote[695].start 6065.96909375
transcript.pyannote[695].end 6075.72284375
transcript.pyannote[696].speaker SPEAKER_15
transcript.pyannote[696].start 6078.06846875
transcript.pyannote[696].end 6078.40596875
transcript.pyannote[697].speaker SPEAKER_15
transcript.pyannote[697].start 6079.21596875
transcript.pyannote[697].end 6081.39284375
transcript.pyannote[698].speaker SPEAKER_15
transcript.pyannote[698].start 6082.20284375
transcript.pyannote[698].end 6082.21971875
transcript.pyannote[699].speaker SPEAKER_11
transcript.pyannote[699].start 6082.21971875
transcript.pyannote[699].end 6089.27346875
transcript.pyannote[700].speaker SPEAKER_11
transcript.pyannote[700].start 6089.34096875
transcript.pyannote[700].end 6091.80471875
transcript.pyannote[701].speaker SPEAKER_11
transcript.pyannote[701].start 6091.93971875
transcript.pyannote[701].end 6092.64846875
transcript.pyannote[702].speaker SPEAKER_11
transcript.pyannote[702].start 6093.00284375
transcript.pyannote[702].end 6101.55846875
transcript.pyannote[703].speaker SPEAKER_11
transcript.pyannote[703].start 6102.26721875
transcript.pyannote[703].end 6137.35034375
transcript.pyannote[704].speaker SPEAKER_11
transcript.pyannote[704].start 6139.47659375
transcript.pyannote[704].end 6139.51034375
transcript.pyannote[705].speaker SPEAKER_15
transcript.pyannote[705].start 6139.51034375
transcript.pyannote[705].end 6141.07971875
transcript.pyannote[706].speaker SPEAKER_15
transcript.pyannote[706].start 6141.94034375
transcript.pyannote[706].end 6143.50971875
transcript.pyannote[707].speaker SPEAKER_08
transcript.pyannote[707].start 6144.48846875
transcript.pyannote[707].end 6152.48721875
transcript.pyannote[708].speaker SPEAKER_08
transcript.pyannote[708].start 6152.55471875
transcript.pyannote[708].end 6220.57784375
transcript.pyannote[709].speaker SPEAKER_08
transcript.pyannote[709].start 6221.40471875
transcript.pyannote[709].end 6258.98534375
transcript.pyannote[710].speaker SPEAKER_08
transcript.pyannote[710].start 6259.23846875
transcript.pyannote[710].end 6300.85221875
transcript.pyannote[711].speaker SPEAKER_08
transcript.pyannote[711].start 6301.59471875
transcript.pyannote[711].end 6307.23096875
transcript.pyannote[712].speaker SPEAKER_08
transcript.pyannote[712].start 6307.85534375
transcript.pyannote[712].end 6337.25159375
transcript.pyannote[713].speaker SPEAKER_13
transcript.pyannote[713].start 6337.74096875
transcript.pyannote[713].end 6337.84221875
transcript.pyannote[714].speaker SPEAKER_21
transcript.pyannote[714].start 6337.84221875
transcript.pyannote[714].end 6339.51284375
transcript.pyannote[715].speaker SPEAKER_21
transcript.pyannote[715].start 6340.00221875
transcript.pyannote[715].end 6341.28471875
transcript.pyannote[716].speaker SPEAKER_21
transcript.pyannote[716].start 6342.17909375
transcript.pyannote[716].end 6346.07721875
transcript.pyannote[717].speaker SPEAKER_21
transcript.pyannote[717].start 6346.44846875
transcript.pyannote[717].end 6363.05346875
transcript.pyannote[718].speaker SPEAKER_21
transcript.pyannote[718].start 6363.45846875
transcript.pyannote[718].end 6367.06971875
transcript.pyannote[719].speaker SPEAKER_21
transcript.pyannote[719].start 6367.15409375
transcript.pyannote[719].end 6382.91534375
transcript.pyannote[720].speaker SPEAKER_21
transcript.pyannote[720].start 6383.05034375
transcript.pyannote[720].end 6385.86846875
transcript.pyannote[721].speaker SPEAKER_21
transcript.pyannote[721].start 6386.37471875
transcript.pyannote[721].end 6406.10159375
transcript.pyannote[722].speaker SPEAKER_15
transcript.pyannote[722].start 6407.35034375
transcript.pyannote[722].end 6408.05909375
transcript.pyannote[723].speaker SPEAKER_15
transcript.pyannote[723].start 6409.22346875
transcript.pyannote[723].end 6425.45721875
transcript.pyannote[724].speaker SPEAKER_21
transcript.pyannote[724].start 6422.28471875
transcript.pyannote[724].end 6432.51096875
transcript.pyannote[725].speaker SPEAKER_08
transcript.pyannote[725].start 6433.33784375
transcript.pyannote[725].end 6448.82909375
transcript.pyannote[726].speaker SPEAKER_15
transcript.pyannote[726].start 6449.47034375
transcript.pyannote[726].end 6449.92596875
transcript.pyannote[727].speaker SPEAKER_15
transcript.pyannote[727].start 6450.31409375
transcript.pyannote[727].end 6473.02784375
transcript.pyannote[728].speaker SPEAKER_15
transcript.pyannote[728].start 6473.97284375
transcript.pyannote[728].end 6484.97534375
transcript.pyannote[729].speaker SPEAKER_15
transcript.pyannote[729].start 6485.17784375
transcript.pyannote[729].end 6488.18159375
transcript.pyannote[730].speaker SPEAKER_15
transcript.pyannote[730].start 6488.53596875
transcript.pyannote[730].end 6489.66659375
transcript.pyannote[731].speaker SPEAKER_13
transcript.pyannote[731].start 6491.57346875
transcript.pyannote[731].end 6499.33596875
transcript.pyannote[732].speaker SPEAKER_13
transcript.pyannote[732].start 6500.11221875
transcript.pyannote[732].end 6510.52409375
transcript.pyannote[733].speaker SPEAKER_13
transcript.pyannote[733].start 6511.45221875
transcript.pyannote[733].end 6525.61034375
transcript.pyannote[734].speaker SPEAKER_13
transcript.pyannote[734].start 6526.08284375
transcript.pyannote[734].end 6531.48284375
transcript.pyannote[735].speaker SPEAKER_13
transcript.pyannote[735].start 6531.60096875
transcript.pyannote[735].end 6543.43034375
transcript.pyannote[736].speaker SPEAKER_13
transcript.pyannote[736].start 6544.05471875
transcript.pyannote[736].end 6558.36471875
transcript.pyannote[737].speaker SPEAKER_13
transcript.pyannote[737].start 6559.54596875
transcript.pyannote[737].end 6560.55846875
transcript.pyannote[738].speaker SPEAKER_08
transcript.pyannote[738].start 6560.13659375
transcript.pyannote[738].end 6579.69471875
transcript.pyannote[739].speaker SPEAKER_13
transcript.pyannote[739].start 6580.65659375
transcript.pyannote[739].end 6587.54159375
transcript.pyannote[740].speaker SPEAKER_08
transcript.pyannote[740].start 6586.15784375
transcript.pyannote[740].end 6641.47409375
transcript.pyannote[741].speaker SPEAKER_15
transcript.pyannote[741].start 6641.62596875
transcript.pyannote[741].end 6646.87409375
transcript.pyannote[742].speaker SPEAKER_11
transcript.pyannote[742].start 6647.70096875
transcript.pyannote[742].end 6647.80221875
transcript.pyannote[743].speaker SPEAKER_15
transcript.pyannote[743].start 6647.80221875
transcript.pyannote[743].end 6647.97096875
transcript.pyannote[744].speaker SPEAKER_11
transcript.pyannote[744].start 6647.97096875
transcript.pyannote[744].end 6657.70784375
transcript.pyannote[745].speaker SPEAKER_11
transcript.pyannote[745].start 6658.04534375
transcript.pyannote[745].end 6660.25596875
transcript.pyannote[746].speaker SPEAKER_11
transcript.pyannote[746].start 6660.71159375
transcript.pyannote[746].end 6663.68159375
transcript.pyannote[747].speaker SPEAKER_18
transcript.pyannote[747].start 6663.27659375
transcript.pyannote[747].end 6664.72784375
transcript.pyannote[748].speaker SPEAKER_11
transcript.pyannote[748].start 6664.12034375
transcript.pyannote[748].end 6674.14409375
transcript.pyannote[749].speaker SPEAKER_18
transcript.pyannote[749].start 6667.07346875
transcript.pyannote[749].end 6667.41096875
transcript.pyannote[750].speaker SPEAKER_18
transcript.pyannote[750].start 6668.69346875
transcript.pyannote[750].end 6668.84534375
transcript.pyannote[751].speaker SPEAKER_11
transcript.pyannote[751].start 6674.22846875
transcript.pyannote[751].end 6675.83159375
transcript.pyannote[752].speaker SPEAKER_11
transcript.pyannote[752].start 6676.52346875
transcript.pyannote[752].end 6679.02096875
transcript.pyannote[753].speaker SPEAKER_11
transcript.pyannote[753].start 6679.51034375
transcript.pyannote[753].end 6682.88534375
transcript.pyannote[754].speaker SPEAKER_11
transcript.pyannote[754].start 6683.45909375
transcript.pyannote[754].end 6704.63721875
transcript.pyannote[755].speaker SPEAKER_11
transcript.pyannote[755].start 6705.27846875
transcript.pyannote[755].end 6710.45909375
transcript.pyannote[756].speaker SPEAKER_11
transcript.pyannote[756].start 6710.89784375
transcript.pyannote[756].end 6712.77096875
transcript.pyannote[757].speaker SPEAKER_11
transcript.pyannote[757].start 6712.90596875
transcript.pyannote[757].end 6717.96846875
transcript.pyannote[758].speaker SPEAKER_18
transcript.pyannote[758].start 6717.96846875
transcript.pyannote[758].end 6718.15409375
transcript.pyannote[759].speaker SPEAKER_11
transcript.pyannote[759].start 6718.57596875
transcript.pyannote[759].end 6718.84596875
transcript.pyannote[760].speaker SPEAKER_11
transcript.pyannote[760].start 6719.55471875
transcript.pyannote[760].end 6720.53346875
transcript.pyannote[761].speaker SPEAKER_11
transcript.pyannote[761].start 6720.70221875
transcript.pyannote[761].end 6724.24596875
transcript.pyannote[762].speaker SPEAKER_11
transcript.pyannote[762].start 6724.46534375
transcript.pyannote[762].end 6727.21596875
transcript.pyannote[763].speaker SPEAKER_11
transcript.pyannote[763].start 6727.70534375
transcript.pyannote[763].end 6730.32096875
transcript.pyannote[764].speaker SPEAKER_11
transcript.pyannote[764].start 6730.79346875
transcript.pyannote[764].end 6731.51909375
transcript.pyannote[765].speaker SPEAKER_11
transcript.pyannote[765].start 6731.97471875
transcript.pyannote[765].end 6733.18971875
transcript.pyannote[766].speaker SPEAKER_11
transcript.pyannote[766].start 6734.01659375
transcript.pyannote[766].end 6734.82659375
transcript.pyannote[767].speaker SPEAKER_11
transcript.pyannote[767].start 6735.80534375
transcript.pyannote[767].end 6750.06471875
transcript.pyannote[768].speaker SPEAKER_15
transcript.pyannote[768].start 6750.31784375
transcript.pyannote[768].end 6753.54096875
transcript.pyannote[769].speaker SPEAKER_06
transcript.pyannote[769].start 6757.52346875
transcript.pyannote[769].end 6758.06346875
transcript.pyannote[770].speaker SPEAKER_15
transcript.pyannote[770].start 6758.06346875
transcript.pyannote[770].end 6758.09721875
transcript.pyannote[771].speaker SPEAKER_18
transcript.pyannote[771].start 6758.09721875
transcript.pyannote[771].end 6758.21534375
transcript.pyannote[772].speaker SPEAKER_06
transcript.pyannote[772].start 6758.21534375
transcript.pyannote[772].end 6758.24909375
transcript.pyannote[773].speaker SPEAKER_06
transcript.pyannote[773].start 6758.72159375
transcript.pyannote[773].end 6784.96221875
transcript.pyannote[774].speaker SPEAKER_18
transcript.pyannote[774].start 6784.96221875
transcript.pyannote[774].end 6785.01284375
transcript.pyannote[775].speaker SPEAKER_06
transcript.pyannote[775].start 6785.01284375
transcript.pyannote[775].end 6873.16784375
transcript.pyannote[776].speaker SPEAKER_06
transcript.pyannote[776].start 6873.40409375
transcript.pyannote[776].end 6923.72534375
transcript.pyannote[777].speaker SPEAKER_14
transcript.pyannote[777].start 6925.04159375
transcript.pyannote[777].end 6983.19284375
transcript.pyannote[778].speaker SPEAKER_14
transcript.pyannote[778].start 6984.88034375
transcript.pyannote[778].end 6986.28096875
transcript.pyannote[779].speaker SPEAKER_15
transcript.pyannote[779].start 6986.28096875
transcript.pyannote[779].end 6986.29784375
transcript.pyannote[780].speaker SPEAKER_17
transcript.pyannote[780].start 6986.68596875
transcript.pyannote[780].end 6987.64784375
transcript.pyannote[781].speaker SPEAKER_17
transcript.pyannote[781].start 6987.96846875
transcript.pyannote[781].end 6997.06409375
transcript.pyannote[782].speaker SPEAKER_17
transcript.pyannote[782].start 6997.28346875
transcript.pyannote[782].end 7001.28284375
transcript.pyannote[783].speaker SPEAKER_17
transcript.pyannote[783].start 7001.62034375
transcript.pyannote[783].end 7088.30721875
transcript.pyannote[784].speaker SPEAKER_17
transcript.pyannote[784].start 7088.91471875
transcript.pyannote[784].end 7131.00096875
transcript.pyannote[785].speaker SPEAKER_18
transcript.pyannote[785].start 7107.30846875
transcript.pyannote[785].end 7107.46034375
transcript.pyannote[786].speaker SPEAKER_00
transcript.pyannote[786].start 7107.46034375
transcript.pyannote[786].end 7107.54471875
transcript.pyannote[787].speaker SPEAKER_17
transcript.pyannote[787].start 7131.11909375
transcript.pyannote[787].end 7152.43221875
transcript.pyannote[788].speaker SPEAKER_17
transcript.pyannote[788].start 7153.22534375
transcript.pyannote[788].end 7173.50909375
transcript.pyannote[789].speaker SPEAKER_15
transcript.pyannote[789].start 7173.98159375
transcript.pyannote[789].end 7219.74659375
transcript.pyannote[790].speaker SPEAKER_15
transcript.pyannote[790].start 7220.25284375
transcript.pyannote[790].end 7220.77596875
transcript.pyannote[791].speaker SPEAKER_15
transcript.pyannote[791].start 7221.63659375
transcript.pyannote[791].end 7228.18409375
transcript.pyannote[792].speaker SPEAKER_15
transcript.pyannote[792].start 7228.85909375
transcript.pyannote[792].end 7230.29346875
transcript.pyannote[793].speaker SPEAKER_15
transcript.pyannote[793].start 7230.78284375
transcript.pyannote[793].end 7236.26721875
transcript.pyannote[794].speaker SPEAKER_15
transcript.pyannote[794].start 7236.30096875
transcript.pyannote[794].end 7258.33971875
transcript.pyannote[795].speaker SPEAKER_15
transcript.pyannote[795].start 7260.28034375
transcript.pyannote[795].end 7260.87096875
transcript.pyannote[796].speaker SPEAKER_15
transcript.pyannote[796].start 7262.49096875
transcript.pyannote[796].end 7263.03096875
transcript.pyannote[797].speaker SPEAKER_21
transcript.pyannote[797].start 7263.03096875
transcript.pyannote[797].end 7263.25034375
transcript.pyannote[798].speaker SPEAKER_21
transcript.pyannote[798].start 7267.60409375
transcript.pyannote[798].end 7268.44784375
transcript.pyannote[799].speaker SPEAKER_21
transcript.pyannote[799].start 7268.97096875
transcript.pyannote[799].end 7272.54846875
transcript.pyannote[800].speaker SPEAKER_21
transcript.pyannote[800].start 7273.42596875
transcript.pyannote[800].end 7288.25909375
transcript.pyannote[801].speaker SPEAKER_21
transcript.pyannote[801].start 7288.39409375
transcript.pyannote[801].end 7291.95471875
transcript.pyannote[802].speaker SPEAKER_21
transcript.pyannote[802].start 7292.17409375
transcript.pyannote[802].end 7311.91784375
transcript.pyannote[803].speaker SPEAKER_21
transcript.pyannote[803].start 7312.45784375
transcript.pyannote[803].end 7317.03096875
transcript.pyannote[804].speaker SPEAKER_21
transcript.pyannote[804].start 7317.26721875
transcript.pyannote[804].end 7317.65534375
transcript.pyannote[805].speaker SPEAKER_21
transcript.pyannote[805].start 7317.97596875
transcript.pyannote[805].end 7323.79784375
transcript.pyannote[806].speaker SPEAKER_21
transcript.pyannote[806].start 7324.11846875
transcript.pyannote[806].end 7332.31971875
transcript.pyannote[807].speaker SPEAKER_21
transcript.pyannote[807].start 7332.55596875
transcript.pyannote[807].end 7337.73659375
transcript.pyannote[808].speaker SPEAKER_21
transcript.pyannote[808].start 7337.80409375
transcript.pyannote[808].end 7339.59284375
transcript.pyannote[809].speaker SPEAKER_21
transcript.pyannote[809].start 7339.86284375
transcript.pyannote[809].end 7343.77784375
transcript.pyannote[810].speaker SPEAKER_21
transcript.pyannote[810].start 7344.90846875
transcript.pyannote[810].end 7345.98846875
transcript.pyannote[811].speaker SPEAKER_17
transcript.pyannote[811].start 7346.98409375
transcript.pyannote[811].end 7355.82659375
transcript.pyannote[812].speaker SPEAKER_17
transcript.pyannote[812].start 7356.40034375
transcript.pyannote[812].end 7366.89659375
transcript.pyannote[813].speaker SPEAKER_17
transcript.pyannote[813].start 7367.28471875
transcript.pyannote[813].end 7435.51034375
transcript.pyannote[814].speaker SPEAKER_17
transcript.pyannote[814].start 7436.23596875
transcript.pyannote[814].end 7439.71221875
transcript.pyannote[815].speaker SPEAKER_17
transcript.pyannote[815].start 7440.35346875
transcript.pyannote[815].end 7455.52409375
transcript.pyannote[816].speaker SPEAKER_15
transcript.pyannote[816].start 7456.23284375
transcript.pyannote[816].end 7456.95846875
transcript.pyannote[817].speaker SPEAKER_17
transcript.pyannote[817].start 7456.95846875
transcript.pyannote[817].end 7457.04284375
transcript.pyannote[818].speaker SPEAKER_15
transcript.pyannote[818].start 7458.37596875
transcript.pyannote[818].end 7463.26971875
transcript.pyannote[819].speaker SPEAKER_15
transcript.pyannote[819].start 7470.40784375
transcript.pyannote[819].end 7470.71159375
transcript.pyannote[820].speaker SPEAKER_15
transcript.pyannote[820].start 7470.96471875
transcript.pyannote[820].end 7489.69596875
transcript.pyannote[821].speaker SPEAKER_15
transcript.pyannote[821].start 7491.80534375
transcript.pyannote[821].end 7499.28096875
transcript.pyannote[822].speaker SPEAKER_15
transcript.pyannote[822].start 7500.36096875
transcript.pyannote[822].end 7502.20034375
transcript.pyannote[823].speaker SPEAKER_15
transcript.pyannote[823].start 7502.30159375
transcript.pyannote[823].end 7504.32659375
transcript.pyannote[824].speaker SPEAKER_15
transcript.pyannote[824].start 7504.56284375
transcript.pyannote[824].end 7506.73971875
transcript.pyannote[825].speaker SPEAKER_15
transcript.pyannote[825].start 7507.44846875
transcript.pyannote[825].end 7508.03909375
transcript.pyannote[826].speaker SPEAKER_14
transcript.pyannote[826].start 7508.03909375
transcript.pyannote[826].end 7509.45659375
transcript.pyannote[827].speaker SPEAKER_14
transcript.pyannote[827].start 7509.76034375
transcript.pyannote[827].end 7589.10659375
transcript.pyannote[828].speaker SPEAKER_14
transcript.pyannote[828].start 7589.41034375
transcript.pyannote[828].end 7595.78909375
transcript.pyannote[829].speaker SPEAKER_14
transcript.pyannote[829].start 7596.80159375
transcript.pyannote[829].end 7597.49346875
transcript.pyannote[830].speaker SPEAKER_15
transcript.pyannote[830].start 7597.49346875
transcript.pyannote[830].end 7598.84346875
transcript.pyannote[831].speaker SPEAKER_15
transcript.pyannote[831].start 7600.96971875
transcript.pyannote[831].end 7602.99471875
transcript.pyannote[832].speaker SPEAKER_15
transcript.pyannote[832].start 7604.10846875
transcript.pyannote[832].end 7610.65596875
transcript.pyannote[833].speaker SPEAKER_02
transcript.pyannote[833].start 7613.06909375
transcript.pyannote[833].end 7626.28221875
transcript.pyannote[834].speaker SPEAKER_02
transcript.pyannote[834].start 7626.51846875
transcript.pyannote[834].end 7635.63096875
transcript.pyannote[835].speaker SPEAKER_15
transcript.pyannote[835].start 7637.63909375
transcript.pyannote[835].end 7639.02284375
transcript.pyannote[836].speaker SPEAKER_08
transcript.pyannote[836].start 7640.62596875
transcript.pyannote[836].end 7654.78409375
transcript.pyannote[837].speaker SPEAKER_18
transcript.pyannote[837].start 7656.21846875
transcript.pyannote[837].end 7656.64034375
transcript.pyannote[838].speaker SPEAKER_15
transcript.pyannote[838].start 7657.77096875
transcript.pyannote[838].end 7660.28534375
transcript.pyannote[839].speaker SPEAKER_15
transcript.pyannote[839].start 7660.84221875
transcript.pyannote[839].end 7661.38221875
transcript.pyannote[840].speaker SPEAKER_15
transcript.pyannote[840].start 7662.86721875
transcript.pyannote[840].end 7671.91221875
transcript.pyannote[841].speaker SPEAKER_08
transcript.pyannote[841].start 7668.40221875
transcript.pyannote[841].end 7669.56659375
transcript.pyannote[842].speaker SPEAKER_08
transcript.pyannote[842].start 7670.44409375
transcript.pyannote[842].end 7675.38846875
transcript.pyannote[843].speaker SPEAKER_15
transcript.pyannote[843].start 7673.92034375
transcript.pyannote[843].end 7678.45971875
transcript.pyannote[844].speaker SPEAKER_14
transcript.pyannote[844].start 7675.38846875
transcript.pyannote[844].end 7677.43034375
transcript.pyannote[845].speaker SPEAKER_15
transcript.pyannote[845].start 7681.41284375
transcript.pyannote[845].end 7683.79221875
transcript.pyannote[846].speaker SPEAKER_15
transcript.pyannote[846].start 7688.21346875
transcript.pyannote[846].end 7689.88409375
transcript.pyannote[847].speaker SPEAKER_15
transcript.pyannote[847].start 7692.66846875
transcript.pyannote[847].end 7693.25909375
transcript.pyannote[848].speaker SPEAKER_15
transcript.pyannote[848].start 7693.54596875
transcript.pyannote[848].end 7694.27159375
transcript.pyannote[849].speaker SPEAKER_15
transcript.pyannote[849].start 7694.99721875
transcript.pyannote[849].end 7697.37659375
transcript.pyannote[850].speaker SPEAKER_15
transcript.pyannote[850].start 7698.13596875
transcript.pyannote[850].end 7699.40159375
transcript.pyannote[851].speaker SPEAKER_15
transcript.pyannote[851].start 7700.59971875
transcript.pyannote[851].end 7701.66284375
transcript.pyannote[852].speaker SPEAKER_15
transcript.pyannote[852].start 7702.96221875
transcript.pyannote[852].end 7706.06721875
transcript.pyannote[853].speaker SPEAKER_15
transcript.pyannote[853].start 7712.22659375
transcript.pyannote[853].end 7712.61471875
transcript.pyannote[854].speaker SPEAKER_15
transcript.pyannote[854].start 7712.86784375
transcript.pyannote[854].end 7715.06159375
transcript.pyannote[855].speaker SPEAKER_15
transcript.pyannote[855].start 7715.23034375
transcript.pyannote[855].end 7716.51284375
transcript.pyannote[856].speaker SPEAKER_15
transcript.pyannote[856].start 7719.87096875
transcript.pyannote[856].end 7720.64721875
transcript.pyannote[857].speaker SPEAKER_16
transcript.pyannote[857].start 7720.64721875
transcript.pyannote[857].end 7720.78221875
transcript.pyannote[858].speaker SPEAKER_16
transcript.pyannote[858].start 7720.96784375
transcript.pyannote[858].end 7722.50346875
transcript.pyannote[859].speaker SPEAKER_18
transcript.pyannote[859].start 7722.50346875
transcript.pyannote[859].end 7723.21221875
transcript.pyannote[860].speaker SPEAKER_04
transcript.pyannote[860].start 7723.21221875
transcript.pyannote[860].end 7726.03034375
transcript.pyannote[861].speaker SPEAKER_18
transcript.pyannote[861].start 7726.03034375
transcript.pyannote[861].end 7729.42221875
transcript.pyannote[862].speaker SPEAKER_04
transcript.pyannote[862].start 7726.70534375
transcript.pyannote[862].end 7726.97534375
transcript.pyannote[863].speaker SPEAKER_06
transcript.pyannote[863].start 7726.97534375
transcript.pyannote[863].end 7727.59971875
transcript.pyannote[864].speaker SPEAKER_18
transcript.pyannote[864].start 7729.77659375
transcript.pyannote[864].end 7730.90721875
transcript.pyannote[865].speaker SPEAKER_18
transcript.pyannote[865].start 7731.46409375
transcript.pyannote[865].end 7732.30784375
transcript.pyannote[866].speaker SPEAKER_15
transcript.pyannote[866].start 7733.42159375
transcript.pyannote[866].end 7736.10471875
transcript.pyannote[867].speaker SPEAKER_15
transcript.pyannote[867].start 7736.32409375
transcript.pyannote[867].end 7738.01159375
transcript.pyannote[868].speaker SPEAKER_15
transcript.pyannote[868].start 7738.51784375
transcript.pyannote[868].end 7740.39096875
transcript.pyannote[869].speaker SPEAKER_23
transcript.pyannote[869].start 7742.53409375
transcript.pyannote[869].end 7743.42846875
transcript.pyannote[870].speaker SPEAKER_15
transcript.pyannote[870].start 7743.95159375
transcript.pyannote[870].end 7743.96846875
transcript.pyannote[871].speaker SPEAKER_14
transcript.pyannote[871].start 7743.96846875
transcript.pyannote[871].end 7744.77846875
transcript.pyannote[872].speaker SPEAKER_23
transcript.pyannote[872].start 7744.79534375
transcript.pyannote[872].end 7745.08221875
transcript.pyannote[873].speaker SPEAKER_23
transcript.pyannote[873].start 7745.47034375
transcript.pyannote[873].end 7747.30971875
transcript.pyannote[874].speaker SPEAKER_14
transcript.pyannote[874].start 7748.20409375
transcript.pyannote[874].end 7757.21534375
transcript.pyannote[875].speaker SPEAKER_14
transcript.pyannote[875].start 7757.35034375
transcript.pyannote[875].end 7757.68784375
transcript.pyannote[876].speaker SPEAKER_14
transcript.pyannote[876].start 7758.22784375
transcript.pyannote[876].end 7758.56534375
transcript.pyannote[877].speaker SPEAKER_14
transcript.pyannote[877].start 7759.08846875
transcript.pyannote[877].end 7761.56909375
transcript.pyannote[878].speaker SPEAKER_14
transcript.pyannote[878].start 7761.61971875
transcript.pyannote[878].end 7762.17659375
transcript.pyannote[879].speaker SPEAKER_18
transcript.pyannote[879].start 7762.29471875
transcript.pyannote[879].end 7762.41284375
transcript.pyannote[880].speaker SPEAKER_14
transcript.pyannote[880].start 7762.41284375
transcript.pyannote[880].end 7762.83471875
transcript.pyannote[881].speaker SPEAKER_15
transcript.pyannote[881].start 7779.03471875
transcript.pyannote[881].end 7779.91221875
transcript.pyannote[882].speaker SPEAKER_15
transcript.pyannote[882].start 7790.76284375
transcript.pyannote[882].end 7791.65721875
transcript.pyannote[883].speaker SPEAKER_15
transcript.pyannote[883].start 7791.91034375
transcript.pyannote[883].end 7793.27721875
transcript.pyannote[884].speaker SPEAKER_15
transcript.pyannote[884].start 7793.49659375
transcript.pyannote[884].end 7794.23909375
transcript.pyannote[885].speaker SPEAKER_15
transcript.pyannote[885].start 7797.05721875
transcript.pyannote[885].end 7797.68159375
transcript.pyannote[886].speaker SPEAKER_13
transcript.pyannote[886].start 7797.68159375
transcript.pyannote[886].end 7797.71534375
transcript.pyannote[887].speaker SPEAKER_13
transcript.pyannote[887].start 7799.31846875
transcript.pyannote[887].end 7799.33534375
transcript.pyannote[888].speaker SPEAKER_15
transcript.pyannote[888].start 7799.33534375
transcript.pyannote[888].end 7799.72346875
transcript.pyannote[889].speaker SPEAKER_13
transcript.pyannote[889].start 7799.72346875
transcript.pyannote[889].end 7799.87534375
transcript.pyannote[890].speaker SPEAKER_15
transcript.pyannote[890].start 7799.87534375
transcript.pyannote[890].end 7799.90909375
transcript.pyannote[891].speaker SPEAKER_13
transcript.pyannote[891].start 7799.90909375
transcript.pyannote[891].end 7799.94284375
transcript.pyannote[892].speaker SPEAKER_15
transcript.pyannote[892].start 7799.94284375
transcript.pyannote[892].end 7799.97659375
transcript.pyannote[893].speaker SPEAKER_13
transcript.pyannote[893].start 7799.97659375
transcript.pyannote[893].end 7800.02721875
transcript.pyannote[894].speaker SPEAKER_15
transcript.pyannote[894].start 7800.02721875
transcript.pyannote[894].end 7800.14534375
transcript.pyannote[895].speaker SPEAKER_13
transcript.pyannote[895].start 7800.14534375
transcript.pyannote[895].end 7800.16221875
transcript.pyannote[896].speaker SPEAKER_15
transcript.pyannote[896].start 7806.40596875
transcript.pyannote[896].end 7807.84034375
transcript.pyannote[897].speaker SPEAKER_15
transcript.pyannote[897].start 7808.43096875
transcript.pyannote[897].end 7809.96659375
transcript.pyannote[898].speaker SPEAKER_15
transcript.pyannote[898].start 7810.27034375
transcript.pyannote[898].end 7812.43034375
transcript.pyannote[899].speaker SPEAKER_15
transcript.pyannote[899].start 7813.12221875
transcript.pyannote[899].end 7816.37909375
transcript.pyannote[900].speaker SPEAKER_15
transcript.pyannote[900].start 7819.85534375
transcript.pyannote[900].end 7822.75784375
transcript.pyannote[901].speaker SPEAKER_18
transcript.pyannote[901].start 7824.27659375
transcript.pyannote[901].end 7824.29346875
transcript.pyannote[902].speaker SPEAKER_20
transcript.pyannote[902].start 7829.03534375
transcript.pyannote[902].end 7837.67534375
transcript.pyannote[903].speaker SPEAKER_06
transcript.pyannote[903].start 7835.00909375
transcript.pyannote[903].end 7836.30846875
transcript.pyannote[904].speaker SPEAKER_06
transcript.pyannote[904].start 7837.74284375
transcript.pyannote[904].end 7851.31034375
transcript.pyannote[905].speaker SPEAKER_20
transcript.pyannote[905].start 7853.04846875
transcript.pyannote[905].end 7856.17034375
transcript.pyannote[906].speaker SPEAKER_20
transcript.pyannote[906].start 7856.32221875
transcript.pyannote[906].end 7860.64221875
transcript.pyannote[907].speaker SPEAKER_20
transcript.pyannote[907].start 7861.01346875
transcript.pyannote[907].end 7862.46471875
transcript.pyannote[908].speaker SPEAKER_20
transcript.pyannote[908].start 7862.75159375
transcript.pyannote[908].end 7870.26096875
transcript.pyannote[909].speaker SPEAKER_20
transcript.pyannote[909].start 7870.36221875
transcript.pyannote[909].end 7876.84221875
transcript.pyannote[910].speaker SPEAKER_20
transcript.pyannote[910].start 7877.14596875
transcript.pyannote[910].end 7889.39721875
transcript.pyannote[911].speaker SPEAKER_18
transcript.pyannote[911].start 7885.68471875
transcript.pyannote[911].end 7886.12346875
transcript.pyannote[912].speaker SPEAKER_20
transcript.pyannote[912].start 7889.86971875
transcript.pyannote[912].end 7891.50659375
transcript.pyannote[913].speaker SPEAKER_23
transcript.pyannote[913].start 7893.16034375
transcript.pyannote[913].end 7894.00409375
transcript.pyannote[914].speaker SPEAKER_23
transcript.pyannote[914].start 7894.56096875
transcript.pyannote[914].end 7899.26909375
transcript.pyannote[915].speaker SPEAKER_23
transcript.pyannote[915].start 7899.55596875
transcript.pyannote[915].end 7905.24284375
transcript.pyannote[916].speaker SPEAKER_15
transcript.pyannote[916].start 7906.37346875
transcript.pyannote[916].end 7907.43659375
transcript.pyannote[917].speaker SPEAKER_15
transcript.pyannote[917].start 7907.82471875
transcript.pyannote[917].end 7907.84159375
transcript.pyannote[918].speaker SPEAKER_23
transcript.pyannote[918].start 7907.84159375
transcript.pyannote[918].end 7908.28034375
transcript.pyannote[919].speaker SPEAKER_15
transcript.pyannote[919].start 7908.28034375
transcript.pyannote[919].end 7908.33096875
transcript.pyannote[920].speaker SPEAKER_15
transcript.pyannote[920].start 7908.61784375
transcript.pyannote[920].end 7909.83284375
transcript.pyannote[921].speaker SPEAKER_23
transcript.pyannote[921].start 7910.22096875
transcript.pyannote[921].end 7914.40596875
transcript.pyannote[922].speaker SPEAKER_15
transcript.pyannote[922].start 7910.28846875
transcript.pyannote[922].end 7910.32221875
transcript.pyannote[923].speaker SPEAKER_15
transcript.pyannote[923].start 7910.38971875
transcript.pyannote[923].end 7910.81159375
transcript.pyannote[924].speaker SPEAKER_15
transcript.pyannote[924].start 7912.36409375
transcript.pyannote[924].end 7914.35534375
transcript.pyannote[925].speaker SPEAKER_23
transcript.pyannote[925].start 7914.52409375
transcript.pyannote[925].end 7914.87846875
transcript.pyannote[926].speaker SPEAKER_23
transcript.pyannote[926].start 7919.01284375
transcript.pyannote[926].end 7919.24909375
transcript.pyannote[927].speaker SPEAKER_15
transcript.pyannote[927].start 7919.78909375
transcript.pyannote[927].end 7924.90221875
transcript.pyannote[928].speaker SPEAKER_06
transcript.pyannote[928].start 7924.90221875
transcript.pyannote[928].end 7957.89284375
transcript.pyannote[929].speaker SPEAKER_15
transcript.pyannote[929].start 7925.27346875
transcript.pyannote[929].end 7927.36596875
transcript.pyannote[930].speaker SPEAKER_15
transcript.pyannote[930].start 7928.36159375
transcript.pyannote[930].end 7928.47971875
transcript.pyannote[931].speaker SPEAKER_18
transcript.pyannote[931].start 7929.88034375
transcript.pyannote[931].end 7929.98159375
transcript.pyannote[932].speaker SPEAKER_15
transcript.pyannote[932].start 7929.98159375
transcript.pyannote[932].end 7930.70721875
transcript.pyannote[933].speaker SPEAKER_18
transcript.pyannote[933].start 7930.70721875
transcript.pyannote[933].end 7930.80846875
transcript.pyannote[934].speaker SPEAKER_03
transcript.pyannote[934].start 7952.44221875
transcript.pyannote[934].end 7952.45909375
transcript.pyannote[935].speaker SPEAKER_19
transcript.pyannote[935].start 7952.45909375
transcript.pyannote[935].end 7952.47596875
transcript.pyannote[936].speaker SPEAKER_15
transcript.pyannote[936].start 7952.47596875
transcript.pyannote[936].end 7952.81346875
transcript.pyannote[937].speaker SPEAKER_19
transcript.pyannote[937].start 7952.81346875
transcript.pyannote[937].end 7952.83034375
transcript.pyannote[938].speaker SPEAKER_18
transcript.pyannote[938].start 7952.83034375
transcript.pyannote[938].end 7952.88096875
transcript.pyannote[939].speaker SPEAKER_15
transcript.pyannote[939].start 7958.65221875
transcript.pyannote[939].end 7969.03034375
transcript.pyannote[940].speaker SPEAKER_15
transcript.pyannote[940].start 7969.13159375
transcript.pyannote[940].end 7970.86971875
transcript.pyannote[941].speaker SPEAKER_18
transcript.pyannote[941].start 7970.86971875
transcript.pyannote[941].end 7970.92034375
transcript.pyannote[942].speaker SPEAKER_15
transcript.pyannote[942].start 7971.37596875
transcript.pyannote[942].end 7971.74721875
transcript.pyannote[943].speaker SPEAKER_15
transcript.pyannote[943].start 7978.34534375
transcript.pyannote[943].end 7980.30284375
transcript.pyannote[944].speaker SPEAKER_20
transcript.pyannote[944].start 7985.09534375
transcript.pyannote[944].end 7985.44971875
transcript.pyannote[945].speaker SPEAKER_20
transcript.pyannote[945].start 7986.91784375
transcript.pyannote[945].end 7989.88784375
transcript.pyannote[946].speaker SPEAKER_20
transcript.pyannote[946].start 7990.44471875
transcript.pyannote[946].end 8000.24909375
transcript.pyannote[947].speaker SPEAKER_20
transcript.pyannote[947].start 8000.41784375
transcript.pyannote[947].end 8007.15096875
transcript.pyannote[948].speaker SPEAKER_18
transcript.pyannote[948].start 8007.50534375
transcript.pyannote[948].end 8008.24784375
transcript.pyannote[949].speaker SPEAKER_20
transcript.pyannote[949].start 8007.85971875
transcript.pyannote[949].end 8016.17909375
transcript.pyannote[950].speaker SPEAKER_20
transcript.pyannote[950].start 8017.46159375
transcript.pyannote[950].end 8019.73971875
transcript.pyannote[951].speaker SPEAKER_15
transcript.pyannote[951].start 8019.53721875
transcript.pyannote[951].end 8020.92096875
transcript.pyannote[952].speaker SPEAKER_20
transcript.pyannote[952].start 8019.75659375
transcript.pyannote[952].end 8019.77346875
transcript.pyannote[953].speaker SPEAKER_15
transcript.pyannote[953].start 8021.15721875
transcript.pyannote[953].end 8023.45221875
transcript.pyannote[954].speaker SPEAKER_15
transcript.pyannote[954].start 8026.52346875
transcript.pyannote[954].end 8026.81034375
transcript.pyannote[955].speaker SPEAKER_06
transcript.pyannote[955].start 8029.08846875
transcript.pyannote[955].end 8049.33846875
transcript.pyannote[956].speaker SPEAKER_06
transcript.pyannote[956].start 8050.18221875
transcript.pyannote[956].end 8050.70534375
transcript.pyannote[957].speaker SPEAKER_06
transcript.pyannote[957].start 8051.21159375
transcript.pyannote[957].end 8055.37971875
transcript.pyannote[958].speaker SPEAKER_06
transcript.pyannote[958].start 8055.61596875
transcript.pyannote[958].end 8057.20221875
transcript.pyannote[959].speaker SPEAKER_06
transcript.pyannote[959].start 8058.14721875
transcript.pyannote[959].end 8067.17534375
transcript.pyannote[960].speaker SPEAKER_06
transcript.pyannote[960].start 8069.13284375
transcript.pyannote[960].end 8073.03096875
transcript.pyannote[961].speaker SPEAKER_14
transcript.pyannote[961].start 8077.95846875
transcript.pyannote[961].end 8101.14471875
transcript.pyannote[962].speaker SPEAKER_13
transcript.pyannote[962].start 8081.67096875
transcript.pyannote[962].end 8081.70471875
transcript.pyannote[963].speaker SPEAKER_14
transcript.pyannote[963].start 8101.31346875
transcript.pyannote[963].end 8101.92096875
transcript.pyannote[964].speaker SPEAKER_14
transcript.pyannote[964].start 8105.46471875
transcript.pyannote[964].end 8119.35284375
transcript.pyannote[965].speaker SPEAKER_18
transcript.pyannote[965].start 8116.78784375
transcript.pyannote[965].end 8119.13346875
transcript.pyannote[966].speaker SPEAKER_14
transcript.pyannote[966].start 8119.52159375
transcript.pyannote[966].end 8121.42846875
transcript.pyannote[967].speaker SPEAKER_14
transcript.pyannote[967].start 8122.33971875
transcript.pyannote[967].end 8125.76534375
transcript.pyannote[968].speaker SPEAKER_15
transcript.pyannote[968].start 8125.02284375
transcript.pyannote[968].end 8125.39409375
transcript.pyannote[969].speaker SPEAKER_15
transcript.pyannote[969].start 8127.43596875
transcript.pyannote[969].end 8129.32596875
transcript.pyannote[970].speaker SPEAKER_14
transcript.pyannote[970].start 8129.32596875
transcript.pyannote[970].end 8129.35971875
transcript.pyannote[971].speaker SPEAKER_15
transcript.pyannote[971].start 8129.35971875
transcript.pyannote[971].end 8129.41034375
transcript.pyannote[972].speaker SPEAKER_14
transcript.pyannote[972].start 8129.41034375
transcript.pyannote[972].end 8129.44409375
transcript.pyannote[973].speaker SPEAKER_15
transcript.pyannote[973].start 8129.44409375
transcript.pyannote[973].end 8131.53659375
transcript.pyannote[974].speaker SPEAKER_14
transcript.pyannote[974].start 8130.74346875
transcript.pyannote[974].end 8131.95846875
transcript.pyannote[975].speaker SPEAKER_14
transcript.pyannote[975].start 8132.38034375
transcript.pyannote[975].end 8133.07221875
transcript.pyannote[976].speaker SPEAKER_14
transcript.pyannote[976].start 8133.66284375
transcript.pyannote[976].end 8139.18096875
transcript.pyannote[977].speaker SPEAKER_14
transcript.pyannote[977].start 8139.65346875
transcript.pyannote[977].end 8141.49284375
transcript.pyannote[978].speaker SPEAKER_14
transcript.pyannote[978].start 8144.93534375
transcript.pyannote[978].end 8144.95221875
transcript.pyannote[979].speaker SPEAKER_15
transcript.pyannote[979].start 8144.95221875
transcript.pyannote[979].end 8147.82096875
transcript.pyannote[980].speaker SPEAKER_15
transcript.pyannote[980].start 8147.88846875
transcript.pyannote[980].end 8148.54659375
transcript.pyannote[981].speaker SPEAKER_15
transcript.pyannote[981].start 8150.50409375
transcript.pyannote[981].end 8154.41909375
transcript.pyannote[982].speaker SPEAKER_14
transcript.pyannote[982].start 8151.71909375
transcript.pyannote[982].end 8162.21534375
transcript.pyannote[983].speaker SPEAKER_14
transcript.pyannote[983].start 8162.62034375
transcript.pyannote[983].end 8163.44721875
transcript.pyannote[984].speaker SPEAKER_15
transcript.pyannote[984].start 8163.44721875
transcript.pyannote[984].end 8163.46409375
transcript.pyannote[985].speaker SPEAKER_14
transcript.pyannote[985].start 8164.18971875
transcript.pyannote[985].end 8164.96596875
transcript.pyannote[986].speaker SPEAKER_15
transcript.pyannote[986].start 8164.96596875
transcript.pyannote[986].end 8188.75971875
transcript.pyannote[987].speaker SPEAKER_15
transcript.pyannote[987].start 8189.83971875
transcript.pyannote[987].end 8190.12659375
transcript.pyannote[988].speaker SPEAKER_15
transcript.pyannote[988].start 8190.63284375
transcript.pyannote[988].end 8198.46284375
transcript.pyannote[989].speaker SPEAKER_13
transcript.pyannote[989].start 8197.55159375
transcript.pyannote[989].end 8197.80471875
transcript.pyannote[990].speaker SPEAKER_13
transcript.pyannote[990].start 8198.46284375
transcript.pyannote[990].end 8198.93534375
transcript.pyannote[991].speaker SPEAKER_13
transcript.pyannote[991].start 8199.12096875
transcript.pyannote[991].end 8199.13784375
transcript.pyannote[992].speaker SPEAKER_15
transcript.pyannote[992].start 8199.13784375
transcript.pyannote[992].end 8199.71159375
transcript.pyannote[993].speaker SPEAKER_15
transcript.pyannote[993].start 8203.30596875
transcript.pyannote[993].end 8203.59284375
transcript.pyannote[994].speaker SPEAKER_21
transcript.pyannote[994].start 8203.59284375
transcript.pyannote[994].end 8203.60971875
transcript.pyannote[995].speaker SPEAKER_15
transcript.pyannote[995].start 8203.60971875
transcript.pyannote[995].end 8204.03159375
transcript.pyannote[996].speaker SPEAKER_21
transcript.pyannote[996].start 8204.03159375
transcript.pyannote[996].end 8205.36471875
transcript.pyannote[997].speaker SPEAKER_21
transcript.pyannote[997].start 8207.03534375
transcript.pyannote[997].end 8207.33909375
transcript.pyannote[998].speaker SPEAKER_21
transcript.pyannote[998].start 8207.81159375
transcript.pyannote[998].end 8208.33471875
transcript.pyannote[999].speaker SPEAKER_21
transcript.pyannote[999].start 8208.90846875
transcript.pyannote[999].end 8210.96721875
transcript.pyannote[1000].speaker SPEAKER_21
transcript.pyannote[1000].start 8211.27096875
transcript.pyannote[1000].end 8213.51534375
transcript.pyannote[1001].speaker SPEAKER_21
transcript.pyannote[1001].start 8214.07221875
transcript.pyannote[1001].end 8222.50971875
transcript.pyannote[1002].speaker SPEAKER_15
transcript.pyannote[1002].start 8218.54409375
transcript.pyannote[1002].end 8218.83096875
transcript.pyannote[1003].speaker SPEAKER_21
transcript.pyannote[1003].start 8223.55596875
transcript.pyannote[1003].end 8236.11096875
transcript.pyannote[1004].speaker SPEAKER_21
transcript.pyannote[1004].start 8236.70159375
transcript.pyannote[1004].end 8246.03346875
transcript.pyannote[1005].speaker SPEAKER_21
transcript.pyannote[1005].start 8248.37909375
transcript.pyannote[1005].end 8249.96534375
transcript.pyannote[1006].speaker SPEAKER_15
transcript.pyannote[1006].start 8249.96534375
transcript.pyannote[1006].end 8250.62346875
transcript.pyannote[1007].speaker SPEAKER_21
transcript.pyannote[1007].start 8250.62346875
transcript.pyannote[1007].end 8250.65721875
transcript.pyannote[1008].speaker SPEAKER_15
transcript.pyannote[1008].start 8254.57221875
transcript.pyannote[1008].end 8255.56784375
transcript.pyannote[1009].speaker SPEAKER_18
transcript.pyannote[1009].start 8254.62284375
transcript.pyannote[1009].end 8254.63971875
transcript.pyannote[1010].speaker SPEAKER_13
transcript.pyannote[1010].start 8254.63971875
transcript.pyannote[1010].end 8255.61846875
transcript.pyannote[1011].speaker SPEAKER_21
transcript.pyannote[1011].start 8255.61846875
transcript.pyannote[1011].end 8255.63534375
transcript.pyannote[1012].speaker SPEAKER_18
transcript.pyannote[1012].start 8255.63534375
transcript.pyannote[1012].end 8255.80409375
transcript.pyannote[1013].speaker SPEAKER_18
transcript.pyannote[1013].start 8255.85471875
transcript.pyannote[1013].end 8255.93909375
transcript.pyannote[1014].speaker SPEAKER_21
transcript.pyannote[1014].start 8256.00659375
transcript.pyannote[1014].end 8256.02346875
transcript.pyannote[1015].speaker SPEAKER_18
transcript.pyannote[1015].start 8256.02346875
transcript.pyannote[1015].end 8256.14159375
transcript.pyannote[1016].speaker SPEAKER_14
transcript.pyannote[1016].start 8260.17471875
transcript.pyannote[1016].end 8260.19159375
transcript.pyannote[1017].speaker SPEAKER_13
transcript.pyannote[1017].start 8260.19159375
transcript.pyannote[1017].end 8260.49534375
transcript.pyannote[1018].speaker SPEAKER_14
transcript.pyannote[1018].start 8260.49534375
transcript.pyannote[1018].end 8260.57971875
transcript.pyannote[1019].speaker SPEAKER_14
transcript.pyannote[1019].start 8265.18659375
transcript.pyannote[1019].end 8275.86846875
transcript.pyannote[1020].speaker SPEAKER_14
transcript.pyannote[1020].start 8276.52659375
transcript.pyannote[1020].end 8284.06971875
transcript.pyannote[1021].speaker SPEAKER_14
transcript.pyannote[1021].start 8284.44096875
transcript.pyannote[1021].end 8284.87971875
transcript.pyannote[1022].speaker SPEAKER_14
transcript.pyannote[1022].start 8285.01471875
transcript.pyannote[1022].end 8285.03159375
transcript.pyannote[1023].speaker SPEAKER_14
transcript.pyannote[1023].start 8285.06534375
transcript.pyannote[1023].end 8285.38596875
transcript.pyannote[1024].speaker SPEAKER_15
transcript.pyannote[1024].start 8296.72596875
transcript.pyannote[1024].end 8298.58221875
transcript.pyannote[1025].speaker SPEAKER_15
transcript.pyannote[1025].start 8298.75096875
transcript.pyannote[1025].end 8298.90284375
transcript.pyannote[1026].speaker SPEAKER_14
transcript.pyannote[1026].start 8298.90284375
transcript.pyannote[1026].end 8298.98721875
transcript.pyannote[1027].speaker SPEAKER_14
transcript.pyannote[1027].start 8299.27409375
transcript.pyannote[1027].end 8299.29096875
transcript.pyannote[1028].speaker SPEAKER_15
transcript.pyannote[1028].start 8299.29096875
transcript.pyannote[1028].end 8299.30784375
transcript.pyannote[1029].speaker SPEAKER_14
transcript.pyannote[1029].start 8299.30784375
transcript.pyannote[1029].end 8299.45971875
transcript.pyannote[1030].speaker SPEAKER_14
transcript.pyannote[1030].start 8301.46784375
transcript.pyannote[1030].end 8304.26909375
transcript.pyannote[1031].speaker SPEAKER_14
transcript.pyannote[1031].start 8304.67409375
transcript.pyannote[1031].end 8305.36596875
transcript.pyannote[1032].speaker SPEAKER_14
transcript.pyannote[1032].start 8305.73721875
transcript.pyannote[1032].end 8306.42909375
transcript.pyannote[1033].speaker SPEAKER_23
transcript.pyannote[1033].start 8307.28971875
transcript.pyannote[1033].end 8307.91409375
transcript.pyannote[1034].speaker SPEAKER_23
transcript.pyannote[1034].start 8307.96471875
transcript.pyannote[1034].end 8322.13971875
transcript.pyannote[1035].speaker SPEAKER_18
transcript.pyannote[1035].start 8319.49034375
transcript.pyannote[1035].end 8319.50721875
transcript.pyannote[1036].speaker SPEAKER_15
transcript.pyannote[1036].start 8319.50721875
transcript.pyannote[1036].end 8319.96284375
transcript.pyannote[1037].speaker SPEAKER_15
transcript.pyannote[1037].start 8325.21096875
transcript.pyannote[1037].end 8327.80971875
transcript.pyannote[1038].speaker SPEAKER_15
transcript.pyannote[1038].start 8329.58159375
transcript.pyannote[1038].end 8336.39909375
transcript.pyannote[1039].speaker SPEAKER_15
transcript.pyannote[1039].start 8336.55096875
transcript.pyannote[1039].end 8337.49596875
transcript.pyannote[1040].speaker SPEAKER_13
transcript.pyannote[1040].start 8342.23784375
transcript.pyannote[1040].end 8342.49096875
transcript.pyannote[1041].speaker SPEAKER_15
transcript.pyannote[1041].start 8342.84534375
transcript.pyannote[1041].end 8342.89596875
transcript.pyannote[1042].speaker SPEAKER_13
transcript.pyannote[1042].start 8342.89596875
transcript.pyannote[1042].end 8343.25034375
transcript.pyannote[1043].speaker SPEAKER_07
transcript.pyannote[1043].start 8351.35034375
transcript.pyannote[1043].end 8359.34909375
transcript.pyannote[1044].speaker SPEAKER_03
transcript.pyannote[1044].start 8354.05034375
transcript.pyannote[1044].end 8354.72534375
transcript.pyannote[1045].speaker SPEAKER_07
transcript.pyannote[1045].start 8359.36596875
transcript.pyannote[1045].end 8361.98159375
transcript.pyannote[1046].speaker SPEAKER_07
transcript.pyannote[1046].start 8362.08284375
transcript.pyannote[1046].end 8364.15846875
transcript.pyannote[1047].speaker SPEAKER_07
transcript.pyannote[1047].start 8364.42846875
transcript.pyannote[1047].end 8371.02659375
transcript.pyannote[1048].speaker SPEAKER_07
transcript.pyannote[1048].start 8371.29659375
transcript.pyannote[1048].end 8374.04721875
transcript.pyannote[1049].speaker SPEAKER_15
transcript.pyannote[1049].start 8373.30471875
transcript.pyannote[1049].end 8374.11471875
transcript.pyannote[1050].speaker SPEAKER_15
transcript.pyannote[1050].start 8376.52784375
transcript.pyannote[1050].end 8380.07159375
transcript.pyannote[1051].speaker SPEAKER_15
transcript.pyannote[1051].start 8380.45971875
transcript.pyannote[1051].end 8382.56909375
transcript.pyannote[1052].speaker SPEAKER_15
transcript.pyannote[1052].start 8382.83909375
transcript.pyannote[1052].end 8383.98659375
transcript.pyannote[1053].speaker SPEAKER_07
transcript.pyannote[1053].start 8384.89784375
transcript.pyannote[1053].end 8387.83409375
transcript.pyannote[1054].speaker SPEAKER_15
transcript.pyannote[1054].start 8392.06971875
transcript.pyannote[1054].end 8393.89221875
transcript.pyannote[1055].speaker SPEAKER_15
transcript.pyannote[1055].start 8394.16221875
transcript.pyannote[1055].end 8414.02409375
transcript.pyannote[1056].speaker SPEAKER_14
transcript.pyannote[1056].start 8414.02409375
transcript.pyannote[1056].end 8416.23471875
transcript.pyannote[1057].speaker SPEAKER_14
transcript.pyannote[1057].start 8416.97721875
transcript.pyannote[1057].end 8441.86784375
transcript.pyannote[1058].speaker SPEAKER_00
transcript.pyannote[1058].start 8430.12284375
transcript.pyannote[1058].end 8431.69221875
transcript.pyannote[1059].speaker SPEAKER_14
transcript.pyannote[1059].start 8442.64409375
transcript.pyannote[1059].end 8444.98971875
transcript.pyannote[1060].speaker SPEAKER_15
transcript.pyannote[1060].start 8444.98971875
transcript.pyannote[1060].end 8445.07409375
transcript.pyannote[1061].speaker SPEAKER_14
transcript.pyannote[1061].start 8445.74909375
transcript.pyannote[1061].end 8451.11534375
transcript.pyannote[1062].speaker SPEAKER_15
transcript.pyannote[1062].start 8446.49159375
transcript.pyannote[1062].end 8446.59284375
transcript.pyannote[1063].speaker SPEAKER_15
transcript.pyannote[1063].start 8447.14971875
transcript.pyannote[1063].end 8447.20034375
transcript.pyannote[1064].speaker SPEAKER_08
transcript.pyannote[1064].start 8447.20034375
transcript.pyannote[1064].end 8448.19596875
transcript.pyannote[1065].speaker SPEAKER_15
transcript.pyannote[1065].start 8448.19596875
transcript.pyannote[1065].end 8448.36471875
transcript.pyannote[1066].speaker SPEAKER_08
transcript.pyannote[1066].start 8448.36471875
transcript.pyannote[1066].end 8448.95534375
transcript.pyannote[1067].speaker SPEAKER_08
transcript.pyannote[1067].start 8449.88346875
transcript.pyannote[1067].end 8456.88659375
transcript.pyannote[1068].speaker SPEAKER_08
transcript.pyannote[1068].start 8457.07221875
transcript.pyannote[1068].end 8460.73409375
transcript.pyannote[1069].speaker SPEAKER_08
transcript.pyannote[1069].start 8461.52721875
transcript.pyannote[1069].end 8462.20221875
transcript.pyannote[1070].speaker SPEAKER_08
transcript.pyannote[1070].start 8464.14284375
transcript.pyannote[1070].end 8482.26659375
transcript.pyannote[1071].speaker SPEAKER_15
transcript.pyannote[1071].start 8482.48596875
transcript.pyannote[1071].end 8485.06784375
transcript.pyannote[1072].speaker SPEAKER_08
transcript.pyannote[1072].start 8484.00471875
transcript.pyannote[1072].end 8484.49409375
transcript.pyannote[1073].speaker SPEAKER_08
transcript.pyannote[1073].start 8485.06784375
transcript.pyannote[1073].end 8487.61596875
transcript.pyannote[1074].speaker SPEAKER_08
transcript.pyannote[1074].start 8488.00409375
transcript.pyannote[1074].end 8489.84346875
transcript.pyannote[1075].speaker SPEAKER_15
transcript.pyannote[1075].start 8490.43409375
transcript.pyannote[1075].end 8498.66909375
transcript.pyannote[1076].speaker SPEAKER_14
transcript.pyannote[1076].start 8497.13346875
transcript.pyannote[1076].end 8497.92659375
transcript.pyannote[1077].speaker SPEAKER_14
transcript.pyannote[1077].start 8500.33971875
transcript.pyannote[1077].end 8500.52534375
transcript.pyannote[1078].speaker SPEAKER_14
transcript.pyannote[1078].start 8501.11596875
transcript.pyannote[1078].end 8507.03909375
transcript.pyannote[1079].speaker SPEAKER_15
transcript.pyannote[1079].start 8506.48221875
transcript.pyannote[1079].end 8507.05596875
transcript.pyannote[1080].speaker SPEAKER_14
transcript.pyannote[1080].start 8507.05596875
transcript.pyannote[1080].end 8507.07284375
transcript.pyannote[1081].speaker SPEAKER_15
transcript.pyannote[1081].start 8507.07284375
transcript.pyannote[1081].end 8507.86596875
transcript.pyannote[1082].speaker SPEAKER_14
transcript.pyannote[1082].start 8507.86596875
transcript.pyannote[1082].end 8521.87221875
transcript.pyannote[1083].speaker SPEAKER_15
transcript.pyannote[1083].start 8508.03471875
transcript.pyannote[1083].end 8510.44784375
transcript.pyannote[1084].speaker SPEAKER_14
transcript.pyannote[1084].start 8522.42909375
transcript.pyannote[1084].end 8522.76659375
transcript.pyannote[1085].speaker SPEAKER_06
transcript.pyannote[1085].start 8523.84659375
transcript.pyannote[1085].end 8523.96471875
transcript.pyannote[1086].speaker SPEAKER_14
transcript.pyannote[1086].start 8524.20096875
transcript.pyannote[1086].end 8525.28096875
transcript.pyannote[1087].speaker SPEAKER_06
transcript.pyannote[1087].start 8524.96034375
transcript.pyannote[1087].end 8575.95659375
transcript.pyannote[1088].speaker SPEAKER_18
transcript.pyannote[1088].start 8560.07721875
transcript.pyannote[1088].end 8560.53284375
transcript.pyannote[1089].speaker SPEAKER_06
transcript.pyannote[1089].start 8576.47971875
transcript.pyannote[1089].end 8604.23909375
transcript.pyannote[1090].speaker SPEAKER_09
transcript.pyannote[1090].start 8591.98784375
transcript.pyannote[1090].end 8592.56159375
transcript.pyannote[1091].speaker SPEAKER_18
transcript.pyannote[1091].start 8593.15221875
transcript.pyannote[1091].end 8593.16909375
transcript.pyannote[1092].speaker SPEAKER_09
transcript.pyannote[1092].start 8593.16909375
transcript.pyannote[1092].end 8593.28721875
transcript.pyannote[1093].speaker SPEAKER_18
transcript.pyannote[1093].start 8593.28721875
transcript.pyannote[1093].end 8593.38846875
transcript.pyannote[1094].speaker SPEAKER_18
transcript.pyannote[1094].start 8603.64846875
transcript.pyannote[1094].end 8604.61034375
transcript.pyannote[1095].speaker SPEAKER_06
transcript.pyannote[1095].start 8604.61034375
transcript.pyannote[1095].end 8610.06096875
transcript.pyannote[1096].speaker SPEAKER_18
transcript.pyannote[1096].start 8609.11596875
transcript.pyannote[1096].end 8610.01034375
transcript.pyannote[1097].speaker SPEAKER_15
transcript.pyannote[1097].start 8610.01034375
transcript.pyannote[1097].end 8610.02721875
transcript.pyannote[1098].speaker SPEAKER_18
transcript.pyannote[1098].start 8610.82034375
transcript.pyannote[1098].end 8610.83721875
transcript.pyannote[1099].speaker SPEAKER_15
transcript.pyannote[1099].start 8610.83721875
transcript.pyannote[1099].end 8611.64721875
transcript.pyannote[1100].speaker SPEAKER_06
transcript.pyannote[1100].start 8611.05659375
transcript.pyannote[1100].end 8612.42346875
transcript.pyannote[1101].speaker SPEAKER_18
transcript.pyannote[1101].start 8611.64721875
transcript.pyannote[1101].end 8611.66409375
transcript.pyannote[1102].speaker SPEAKER_06
transcript.pyannote[1102].start 8613.25034375
transcript.pyannote[1102].end 8616.00096875
transcript.pyannote[1103].speaker SPEAKER_15
transcript.pyannote[1103].start 8613.30096875
transcript.pyannote[1103].end 8614.12784375
transcript.pyannote[1104].speaker SPEAKER_15
transcript.pyannote[1104].start 8615.34284375
transcript.pyannote[1104].end 8623.12221875
transcript.pyannote[1105].speaker SPEAKER_15
transcript.pyannote[1105].start 8625.67034375
transcript.pyannote[1105].end 8648.35034375
transcript.pyannote[1106].speaker SPEAKER_06
transcript.pyannote[1106].start 8648.35034375
transcript.pyannote[1106].end 8648.53596875
transcript.pyannote[1107].speaker SPEAKER_10
transcript.pyannote[1107].start 8650.99971875
transcript.pyannote[1107].end 8651.26971875
transcript.pyannote[1108].speaker SPEAKER_18
transcript.pyannote[1108].start 8651.26971875
transcript.pyannote[1108].end 8651.37096875
transcript.pyannote[1109].speaker SPEAKER_10
transcript.pyannote[1109].start 8652.14721875
transcript.pyannote[1109].end 8652.34971875
transcript.pyannote[1110].speaker SPEAKER_10
transcript.pyannote[1110].start 8652.46784375
transcript.pyannote[1110].end 8659.15034375
transcript.pyannote[1111].speaker SPEAKER_18
transcript.pyannote[1111].start 8653.02471875
transcript.pyannote[1111].end 8653.09221875
transcript.pyannote[1112].speaker SPEAKER_14
transcript.pyannote[1112].start 8653.09221875
transcript.pyannote[1112].end 8653.68284375
transcript.pyannote[1113].speaker SPEAKER_18
transcript.pyannote[1113].start 8653.68284375
transcript.pyannote[1113].end 8653.71659375
transcript.pyannote[1114].speaker SPEAKER_14
transcript.pyannote[1114].start 8653.71659375
transcript.pyannote[1114].end 8655.64034375
transcript.pyannote[1115].speaker SPEAKER_14
transcript.pyannote[1115].start 8658.52596875
transcript.pyannote[1115].end 8661.15846875
transcript.pyannote[1116].speaker SPEAKER_10
transcript.pyannote[1116].start 8660.29784375
transcript.pyannote[1116].end 8660.36534375
transcript.pyannote[1117].speaker SPEAKER_10
transcript.pyannote[1117].start 8660.95596875
transcript.pyannote[1117].end 8660.98971875
transcript.pyannote[1118].speaker SPEAKER_18
transcript.pyannote[1118].start 8660.98971875
transcript.pyannote[1118].end 8661.00659375
transcript.pyannote[1119].speaker SPEAKER_02
transcript.pyannote[1119].start 8661.00659375
transcript.pyannote[1119].end 8669.96721875
transcript.pyannote[1120].speaker SPEAKER_18
transcript.pyannote[1120].start 8668.54971875
transcript.pyannote[1120].end 8669.03909375
transcript.pyannote[1121].speaker SPEAKER_08
transcript.pyannote[1121].start 8669.03909375
transcript.pyannote[1121].end 8677.05471875
transcript.pyannote[1122].speaker SPEAKER_18
transcript.pyannote[1122].start 8669.96721875
transcript.pyannote[1122].end 8670.96284375
transcript.pyannote[1123].speaker SPEAKER_07
transcript.pyannote[1123].start 8670.96284375
transcript.pyannote[1123].end 8672.85284375
transcript.pyannote[1124].speaker SPEAKER_02
transcript.pyannote[1124].start 8672.85284375
transcript.pyannote[1124].end 8672.86971875
transcript.pyannote[1125].speaker SPEAKER_07
transcript.pyannote[1125].start 8675.45159375
transcript.pyannote[1125].end 8676.75096875
transcript.pyannote[1126].speaker SPEAKER_03
transcript.pyannote[1126].start 8676.75096875
transcript.pyannote[1126].end 8676.85221875
transcript.pyannote[1127].speaker SPEAKER_03
transcript.pyannote[1127].start 8677.05471875
transcript.pyannote[1127].end 8677.24034375
transcript.pyannote[1128].speaker SPEAKER_08
transcript.pyannote[1128].start 8677.24034375
transcript.pyannote[1128].end 8677.25721875
transcript.pyannote[1129].speaker SPEAKER_18
transcript.pyannote[1129].start 8677.25721875
transcript.pyannote[1129].end 8677.29096875
transcript.pyannote[1130].speaker SPEAKER_18
transcript.pyannote[1130].start 8677.49346875
transcript.pyannote[1130].end 8677.54409375
transcript.pyannote[1131].speaker SPEAKER_08
transcript.pyannote[1131].start 8677.54409375
transcript.pyannote[1131].end 8677.57784375
transcript.pyannote[1132].speaker SPEAKER_03
transcript.pyannote[1132].start 8677.57784375
transcript.pyannote[1132].end 8682.97784375
transcript.pyannote[1133].speaker SPEAKER_08
transcript.pyannote[1133].start 8677.61159375
transcript.pyannote[1133].end 8678.03346875
transcript.pyannote[1134].speaker SPEAKER_07
transcript.pyannote[1134].start 8678.03346875
transcript.pyannote[1134].end 8678.82659375
transcript.pyannote[1135].speaker SPEAKER_08
transcript.pyannote[1135].start 8678.82659375
transcript.pyannote[1135].end 8678.94471875
transcript.pyannote[1136].speaker SPEAKER_07
transcript.pyannote[1136].start 8678.94471875
transcript.pyannote[1136].end 8678.97846875
transcript.pyannote[1137].speaker SPEAKER_18
transcript.pyannote[1137].start 8678.97846875
transcript.pyannote[1137].end 8679.16409375
transcript.pyannote[1138].speaker SPEAKER_07
transcript.pyannote[1138].start 8679.16409375
transcript.pyannote[1138].end 8680.96971875
transcript.pyannote[1139].speaker SPEAKER_18
transcript.pyannote[1139].start 8680.96971875
transcript.pyannote[1139].end 8682.21846875
transcript.pyannote[1140].speaker SPEAKER_07
transcript.pyannote[1140].start 8682.97784375
transcript.pyannote[1140].end 8683.02846875
transcript.pyannote[1141].speaker SPEAKER_18
transcript.pyannote[1141].start 8689.91346875
transcript.pyannote[1141].end 8689.94721875
transcript.pyannote[1142].speaker SPEAKER_03
transcript.pyannote[1142].start 8689.94721875
transcript.pyannote[1142].end 8695.54971875
transcript.pyannote[1143].speaker SPEAKER_18
transcript.pyannote[1143].start 8690.08221875
transcript.pyannote[1143].end 8691.90471875
transcript.pyannote[1144].speaker SPEAKER_18
transcript.pyannote[1144].start 8692.46159375
transcript.pyannote[1144].end 8692.93409375
transcript.pyannote[1145].speaker SPEAKER_18
transcript.pyannote[1145].start 8693.84534375
transcript.pyannote[1145].end 8693.91284375
transcript.pyannote[1146].speaker SPEAKER_07
transcript.pyannote[1146].start 8693.91284375
transcript.pyannote[1146].end 8698.16534375
transcript.pyannote[1147].speaker SPEAKER_03
transcript.pyannote[1147].start 8696.73096875
transcript.pyannote[1147].end 8697.20346875
transcript.pyannote[1148].speaker SPEAKER_21
transcript.pyannote[1148].start 8697.86159375
transcript.pyannote[1148].end 8700.25784375
transcript.pyannote[1149].speaker SPEAKER_03
transcript.pyannote[1149].start 8698.16534375
transcript.pyannote[1149].end 8698.18221875
transcript.pyannote[1150].speaker SPEAKER_07
transcript.pyannote[1150].start 8698.18221875
transcript.pyannote[1150].end 8698.33409375
transcript.pyannote[1151].speaker SPEAKER_03
transcript.pyannote[1151].start 8698.33409375
transcript.pyannote[1151].end 8698.58721875
transcript.pyannote[1152].speaker SPEAKER_07
transcript.pyannote[1152].start 8700.10596875
transcript.pyannote[1152].end 8700.17346875
transcript.pyannote[1153].speaker SPEAKER_03
transcript.pyannote[1153].start 8700.17346875
transcript.pyannote[1153].end 8705.75909375
transcript.pyannote[1154].speaker SPEAKER_07
transcript.pyannote[1154].start 8700.25784375
transcript.pyannote[1154].end 8701.40534375
transcript.pyannote[1155].speaker SPEAKER_07
transcript.pyannote[1155].start 8704.91534375
transcript.pyannote[1155].end 8705.53971875
transcript.pyannote[1156].speaker SPEAKER_10
transcript.pyannote[1156].start 8705.53971875
transcript.pyannote[1156].end 8705.57346875
transcript.pyannote[1157].speaker SPEAKER_07
transcript.pyannote[1157].start 8705.75909375
transcript.pyannote[1157].end 8705.91096875
transcript.pyannote[1158].speaker SPEAKER_03
transcript.pyannote[1158].start 8705.91096875
transcript.pyannote[1158].end 8705.97846875
transcript.pyannote[1159].speaker SPEAKER_07
transcript.pyannote[1159].start 8705.97846875
transcript.pyannote[1159].end 8706.19784375
transcript.pyannote[1160].speaker SPEAKER_10
transcript.pyannote[1160].start 8706.19784375
transcript.pyannote[1160].end 8706.51846875
transcript.pyannote[1161].speaker SPEAKER_07
transcript.pyannote[1161].start 8706.51846875
transcript.pyannote[1161].end 8706.53534375
transcript.pyannote[1162].speaker SPEAKER_10
transcript.pyannote[1162].start 8706.53534375
transcript.pyannote[1162].end 8706.58596875
transcript.pyannote[1163].speaker SPEAKER_07
transcript.pyannote[1163].start 8706.58596875
transcript.pyannote[1163].end 8706.82221875
transcript.pyannote[1164].speaker SPEAKER_10
transcript.pyannote[1164].start 8706.82221875
transcript.pyannote[1164].end 8706.83909375
transcript.pyannote[1165].speaker SPEAKER_07
transcript.pyannote[1165].start 8706.83909375
transcript.pyannote[1165].end 8706.97409375
transcript.pyannote[1166].speaker SPEAKER_10
transcript.pyannote[1166].start 8706.97409375
transcript.pyannote[1166].end 8707.05846875
transcript.pyannote[1167].speaker SPEAKER_03
transcript.pyannote[1167].start 8707.04159375
transcript.pyannote[1167].end 8707.64909375
transcript.pyannote[1168].speaker SPEAKER_07
transcript.pyannote[1168].start 8707.05846875
transcript.pyannote[1168].end 8708.54346875
transcript.pyannote[1169].speaker SPEAKER_10
transcript.pyannote[1169].start 8707.64909375
transcript.pyannote[1169].end 8707.66596875
transcript.pyannote[1170].speaker SPEAKER_03
transcript.pyannote[1170].start 8707.66596875
transcript.pyannote[1170].end 8707.73346875
transcript.pyannote[1171].speaker SPEAKER_10
transcript.pyannote[1171].start 8708.54346875
transcript.pyannote[1171].end 8708.61096875
transcript.pyannote[1172].speaker SPEAKER_07
transcript.pyannote[1172].start 8708.61096875
transcript.pyannote[1172].end 8708.62784375
transcript.pyannote[1173].speaker SPEAKER_10
transcript.pyannote[1173].start 8708.62784375
transcript.pyannote[1173].end 8708.74596875
transcript.pyannote[1174].speaker SPEAKER_07
transcript.pyannote[1174].start 8708.74596875
transcript.pyannote[1174].end 8708.96534375
transcript.pyannote[1175].speaker SPEAKER_10
transcript.pyannote[1175].start 8708.96534375
transcript.pyannote[1175].end 8709.15096875
transcript.pyannote[1176].speaker SPEAKER_10
transcript.pyannote[1176].start 8709.25221875
transcript.pyannote[1176].end 8709.30284375
transcript.pyannote[1177].speaker SPEAKER_07
transcript.pyannote[1177].start 8709.30284375
transcript.pyannote[1177].end 8709.52221875
transcript.pyannote[1178].speaker SPEAKER_10
transcript.pyannote[1178].start 8709.52221875
transcript.pyannote[1178].end 8709.53909375
transcript.pyannote[1179].speaker SPEAKER_07
transcript.pyannote[1179].start 8709.53909375
transcript.pyannote[1179].end 8709.55596875
transcript.pyannote[1180].speaker SPEAKER_10
transcript.pyannote[1180].start 8709.55596875
transcript.pyannote[1180].end 8710.97346875
transcript.pyannote[1181].speaker SPEAKER_07
transcript.pyannote[1181].start 8710.97346875
transcript.pyannote[1181].end 8711.02409375
transcript.pyannote[1182].speaker SPEAKER_10
transcript.pyannote[1182].start 8711.02409375
transcript.pyannote[1182].end 8711.53034375
transcript.pyannote[1183].speaker SPEAKER_12
transcript.pyannote[1183].start 8711.53034375
transcript.pyannote[1183].end 8712.99846875
transcript.pyannote[1184].speaker SPEAKER_12
transcript.pyannote[1184].start 8713.21784375
transcript.pyannote[1184].end 8714.92221875
transcript.pyannote[1185].speaker SPEAKER_10
transcript.pyannote[1185].start 8713.26846875
transcript.pyannote[1185].end 8714.16284375
transcript.pyannote[1186].speaker SPEAKER_07
transcript.pyannote[1186].start 8714.16284375
transcript.pyannote[1186].end 8714.63534375
transcript.pyannote[1187].speaker SPEAKER_07
transcript.pyannote[1187].start 8714.92221875
transcript.pyannote[1187].end 8714.97284375
transcript.pyannote[1188].speaker SPEAKER_18
transcript.pyannote[1188].start 8714.97284375
transcript.pyannote[1188].end 8715.15846875
transcript.pyannote[1189].speaker SPEAKER_12
transcript.pyannote[1189].start 8715.34409375
transcript.pyannote[1189].end 8719.02284375
transcript.pyannote[1190].speaker SPEAKER_12
transcript.pyannote[1190].start 8719.14096875
transcript.pyannote[1190].end 8720.84534375
transcript.pyannote[1191].speaker SPEAKER_18
transcript.pyannote[1191].start 8733.97409375
transcript.pyannote[1191].end 8734.00784375
transcript.pyannote[1192].speaker SPEAKER_16
transcript.pyannote[1192].start 8734.00784375
transcript.pyannote[1192].end 8734.02471875
transcript.pyannote[1193].speaker SPEAKER_18
transcript.pyannote[1193].start 8734.04159375
transcript.pyannote[1193].end 8734.10909375
transcript.pyannote[1194].speaker SPEAKER_10
transcript.pyannote[1194].start 8734.10909375
transcript.pyannote[1194].end 8734.12596875
transcript.pyannote[1195].speaker SPEAKER_10
transcript.pyannote[1195].start 8734.96971875
transcript.pyannote[1195].end 8735.03721875
transcript.pyannote[1196].speaker SPEAKER_23
transcript.pyannote[1196].start 8750.96721875
transcript.pyannote[1196].end 8751.69284375
transcript.pyannote[1197].speaker SPEAKER_23
transcript.pyannote[1197].start 8751.82784375
transcript.pyannote[1197].end 8752.89096875
transcript.pyannote[1198].speaker SPEAKER_23
transcript.pyannote[1198].start 8752.97534375
transcript.pyannote[1198].end 8753.02596875
transcript.pyannote[1199].speaker SPEAKER_17
transcript.pyannote[1199].start 8830.36409375
transcript.pyannote[1199].end 8830.44846875
transcript.pyannote[1200].speaker SPEAKER_18
transcript.pyannote[1200].start 8830.44846875
transcript.pyannote[1200].end 8830.66784375
transcript.pyannote[1201].speaker SPEAKER_17
transcript.pyannote[1201].start 8830.66784375
transcript.pyannote[1201].end 8830.68471875
transcript.pyannote[1202].speaker SPEAKER_18
transcript.pyannote[1202].start 8830.68471875
transcript.pyannote[1202].end 8830.90409375
transcript.pyannote[1203].speaker SPEAKER_17
transcript.pyannote[1203].start 8831.02221875
transcript.pyannote[1203].end 8831.03909375
transcript.pyannote[1204].speaker SPEAKER_17
transcript.pyannote[1204].start 8831.07284375
transcript.pyannote[1204].end 8831.17409375
transcript.pyannote[1205].speaker SPEAKER_18
transcript.pyannote[1205].start 8868.51846875
transcript.pyannote[1205].end 8870.03721875
transcript.pyannote[1206].speaker SPEAKER_18
transcript.pyannote[1206].start 8871.97784375
transcript.pyannote[1206].end 8872.02846875
transcript.pyannote[1207].speaker SPEAKER_18
transcript.pyannote[1207].start 8878.96409375
transcript.pyannote[1207].end 8879.94284375
transcript.pyannote[1208].speaker SPEAKER_18
transcript.pyannote[1208].start 8879.97659375
transcript.pyannote[1208].end 8880.02721875
transcript.pyannote[1209].speaker SPEAKER_03
transcript.pyannote[1209].start 8881.79909375
transcript.pyannote[1209].end 8886.96284375
transcript.pyannote[1210].speaker SPEAKER_04
transcript.pyannote[1210].start 8886.96284375
transcript.pyannote[1210].end 8886.97971875
transcript.pyannote[1211].speaker SPEAKER_07
transcript.pyannote[1211].start 8890.05096875
transcript.pyannote[1211].end 8891.19846875
transcript.pyannote[1212].speaker SPEAKER_07
transcript.pyannote[1212].start 8891.46846875
transcript.pyannote[1212].end 8892.64971875
transcript.pyannote[1213].speaker SPEAKER_07
transcript.pyannote[1213].start 8893.96596875
transcript.pyannote[1213].end 8893.99971875
transcript.pyannote[1214].speaker SPEAKER_07
transcript.pyannote[1214].start 8894.97846875
transcript.pyannote[1214].end 8895.02909375
transcript.pyannote[1215].speaker SPEAKER_19
transcript.pyannote[1215].start 8904.76596875
transcript.pyannote[1215].end 8905.22159375
transcript.pyannote[1216].speaker SPEAKER_19
transcript.pyannote[1216].start 8905.23846875
transcript.pyannote[1216].end 8905.35659375
transcript.pyannote[1217].speaker SPEAKER_19
transcript.pyannote[1217].start 8905.59284375
transcript.pyannote[1217].end 8906.47034375
transcript.pyannote[1218].speaker SPEAKER_19
transcript.pyannote[1218].start 8906.82471875
transcript.pyannote[1218].end 8908.96784375
transcript.pyannote[1219].speaker SPEAKER_09
transcript.pyannote[1219].start 8908.96784375
transcript.pyannote[1219].end 8910.21659375
transcript.pyannote[1220].speaker SPEAKER_19
transcript.pyannote[1220].start 8909.00159375
transcript.pyannote[1220].end 8910.03096875
transcript.pyannote[1221].speaker SPEAKER_00
transcript.pyannote[1221].start 8910.03096875
transcript.pyannote[1221].end 8910.13221875
transcript.pyannote[1222].speaker SPEAKER_00
transcript.pyannote[1222].start 8910.21659375
transcript.pyannote[1222].end 8910.77346875
transcript.pyannote[1223].speaker SPEAKER_09
transcript.pyannote[1223].start 8910.77346875
transcript.pyannote[1223].end 8923.66596875
transcript.pyannote[1224].speaker SPEAKER_19
transcript.pyannote[1224].start 8910.89159375
transcript.pyannote[1224].end 8910.90846875
transcript.pyannote[1225].speaker SPEAKER_18
transcript.pyannote[1225].start 8920.22346875
transcript.pyannote[1225].end 8920.51034375
transcript.pyannote[1226].speaker SPEAKER_18
transcript.pyannote[1226].start 8920.91534375
transcript.pyannote[1226].end 8921.60721875
transcript.pyannote[1227].speaker SPEAKER_18
transcript.pyannote[1227].start 8922.50159375
transcript.pyannote[1227].end 8923.58159375
transcript.pyannote[1228].speaker SPEAKER_18
transcript.pyannote[1228].start 8923.66596875
transcript.pyannote[1228].end 8923.76721875
transcript.pyannote[1229].speaker SPEAKER_09
transcript.pyannote[1229].start 8923.76721875
transcript.pyannote[1229].end 8923.93596875
transcript.pyannote[1230].speaker SPEAKER_18
transcript.pyannote[1230].start 8923.93596875
transcript.pyannote[1230].end 8924.02034375
transcript.pyannote[1231].speaker SPEAKER_09
transcript.pyannote[1231].start 8924.02034375
transcript.pyannote[1231].end 8924.23971875
transcript.pyannote[1232].speaker SPEAKER_18
transcript.pyannote[1232].start 8924.23971875
transcript.pyannote[1232].end 8924.34096875
transcript.pyannote[1233].speaker SPEAKER_09
transcript.pyannote[1233].start 8925.20159375
transcript.pyannote[1233].end 8939.96721875
transcript.pyannote[1234].speaker SPEAKER_06
transcript.pyannote[1234].start 8931.39471875
transcript.pyannote[1234].end 8932.25534375
transcript.pyannote[1235].speaker SPEAKER_06
transcript.pyannote[1235].start 8932.89659375
transcript.pyannote[1235].end 8933.16659375
transcript.pyannote[1236].speaker SPEAKER_18
transcript.pyannote[1236].start 8933.16659375
transcript.pyannote[1236].end 8933.21721875
transcript.pyannote[1237].speaker SPEAKER_06
transcript.pyannote[1237].start 8933.21721875
transcript.pyannote[1237].end 8933.80784375
transcript.pyannote[1238].speaker SPEAKER_18
transcript.pyannote[1238].start 8933.80784375
transcript.pyannote[1238].end 8933.97659375
transcript.pyannote[1239].speaker SPEAKER_08
transcript.pyannote[1239].start 8939.96721875
transcript.pyannote[1239].end 8941.46909375
transcript.pyannote[1240].speaker SPEAKER_18
transcript.pyannote[1240].start 8941.46909375
transcript.pyannote[1240].end 8941.51971875
transcript.pyannote[1241].speaker SPEAKER_07
transcript.pyannote[1241].start 8941.51971875
transcript.pyannote[1241].end 8941.55346875
transcript.pyannote[1242].speaker SPEAKER_18
transcript.pyannote[1242].start 8941.55346875
transcript.pyannote[1242].end 8941.58721875
transcript.pyannote[1243].speaker SPEAKER_07
transcript.pyannote[1243].start 8941.58721875
transcript.pyannote[1243].end 8941.84034375
transcript.pyannote[1244].speaker SPEAKER_18
transcript.pyannote[1244].start 8941.62096875
transcript.pyannote[1244].end 8941.95846875
transcript.pyannote[1245].speaker SPEAKER_07
transcript.pyannote[1245].start 8941.95846875
transcript.pyannote[1245].end 8941.97534375
transcript.pyannote[1246].speaker SPEAKER_18
transcript.pyannote[1246].start 8941.97534375
transcript.pyannote[1246].end 8942.97096875
transcript.pyannote[1247].speaker SPEAKER_07
transcript.pyannote[1247].start 8942.97096875
transcript.pyannote[1247].end 8943.05534375
transcript.pyannote[1248].speaker SPEAKER_18
transcript.pyannote[1248].start 8943.05534375
transcript.pyannote[1248].end 8943.49409375
transcript.pyannote[1249].speaker SPEAKER_07
transcript.pyannote[1249].start 8943.49409375
transcript.pyannote[1249].end 8943.56159375
transcript.pyannote[1250].speaker SPEAKER_18
transcript.pyannote[1250].start 8943.56159375
transcript.pyannote[1250].end 8945.51909375
transcript.pyannote[1251].speaker SPEAKER_15
transcript.pyannote[1251].start 8944.28721875
transcript.pyannote[1251].end 8949.18096875
transcript.pyannote[1252].speaker SPEAKER_18
transcript.pyannote[1252].start 8945.60346875
transcript.pyannote[1252].end 8946.29534375
transcript.pyannote[1253].speaker SPEAKER_18
transcript.pyannote[1253].start 8947.13909375
transcript.pyannote[1253].end 8947.89846875
transcript.pyannote[1254].speaker SPEAKER_18
transcript.pyannote[1254].start 8948.08409375
transcript.pyannote[1254].end 8948.13471875
transcript.pyannote[1255].speaker SPEAKER_18
transcript.pyannote[1255].start 8948.48909375
transcript.pyannote[1255].end 8948.96159375
transcript.pyannote[1256].speaker SPEAKER_18
transcript.pyannote[1256].start 8949.19784375
transcript.pyannote[1256].end 8949.24846875
transcript.pyannote[1257].speaker SPEAKER_15
transcript.pyannote[1257].start 8949.24846875
transcript.pyannote[1257].end 8949.26534375
transcript.pyannote[1258].speaker SPEAKER_18
transcript.pyannote[1258].start 8949.26534375
transcript.pyannote[1258].end 8951.27346875
transcript.pyannote[1259].speaker SPEAKER_15
transcript.pyannote[1259].start 8949.75471875
transcript.pyannote[1259].end 8950.04159375
transcript.pyannote[1260].speaker SPEAKER_23
transcript.pyannote[1260].start 8950.04159375
transcript.pyannote[1260].end 8950.07534375
transcript.pyannote[1261].speaker SPEAKER_15
transcript.pyannote[1261].start 8951.27346875
transcript.pyannote[1261].end 8951.40846875
transcript.pyannote[1262].speaker SPEAKER_18
transcript.pyannote[1262].start 8951.40846875
transcript.pyannote[1262].end 8951.67846875
transcript.pyannote[1263].speaker SPEAKER_09
transcript.pyannote[1263].start 8954.41221875
transcript.pyannote[1263].end 8954.85096875
transcript.pyannote[1264].speaker SPEAKER_09
transcript.pyannote[1264].start 8955.30659375
transcript.pyannote[1264].end 8955.37409375
transcript.pyannote[1265].speaker SPEAKER_23
transcript.pyannote[1265].start 8955.37409375
transcript.pyannote[1265].end 8956.33596875
transcript.pyannote[1266].speaker SPEAKER_09
transcript.pyannote[1266].start 8956.67346875
transcript.pyannote[1266].end 8958.88409375
transcript.pyannote[1267].speaker SPEAKER_23
transcript.pyannote[1267].start 8959.37346875
transcript.pyannote[1267].end 8966.34284375
transcript.pyannote[1268].speaker SPEAKER_23
transcript.pyannote[1268].start 8967.15284375
transcript.pyannote[1268].end 8969.92034375
transcript.pyannote[1269].speaker SPEAKER_23
transcript.pyannote[1269].start 8970.10596875
transcript.pyannote[1269].end 8978.32409375
transcript.pyannote[1270].speaker SPEAKER_18
transcript.pyannote[1270].start 8970.93284375
transcript.pyannote[1270].end 8971.06784375
transcript.pyannote[1271].speaker SPEAKER_13
transcript.pyannote[1271].start 8971.06784375
transcript.pyannote[1271].end 8971.11846875
transcript.pyannote[1272].speaker SPEAKER_13
transcript.pyannote[1272].start 8971.18596875
transcript.pyannote[1272].end 8971.23659375
transcript.pyannote[1273].speaker SPEAKER_09
transcript.pyannote[1273].start 8971.23659375
transcript.pyannote[1273].end 8971.32096875
transcript.pyannote[1274].speaker SPEAKER_13
transcript.pyannote[1274].start 8971.32096875
transcript.pyannote[1274].end 8971.33784375
transcript.pyannote[1275].speaker SPEAKER_09
transcript.pyannote[1275].start 8971.33784375
transcript.pyannote[1275].end 8973.16034375
transcript.pyannote[1276].speaker SPEAKER_11
transcript.pyannote[1276].start 8973.16034375
transcript.pyannote[1276].end 8973.17721875
transcript.pyannote[1277].speaker SPEAKER_09
transcript.pyannote[1277].start 8975.40471875
transcript.pyannote[1277].end 8976.24846875
transcript.pyannote[1278].speaker SPEAKER_09
transcript.pyannote[1278].start 8976.63659375
transcript.pyannote[1278].end 8977.29471875
transcript.pyannote[1279].speaker SPEAKER_09
transcript.pyannote[1279].start 8978.17221875
transcript.pyannote[1279].end 8983.96034375
transcript.pyannote[1280].speaker SPEAKER_23
transcript.pyannote[1280].start 8980.33221875
transcript.pyannote[1280].end 8980.34909375
transcript.pyannote[1281].speaker SPEAKER_18
transcript.pyannote[1281].start 8980.34909375
transcript.pyannote[1281].end 8980.53471875
transcript.pyannote[1282].speaker SPEAKER_04
transcript.pyannote[1282].start 8982.62721875
transcript.pyannote[1282].end 8982.64409375
transcript.pyannote[1283].speaker SPEAKER_18
transcript.pyannote[1283].start 8982.64409375
transcript.pyannote[1283].end 8987.67284375
transcript.pyannote[1284].speaker SPEAKER_23
transcript.pyannote[1284].start 8983.96034375
transcript.pyannote[1284].end 8984.41596875
transcript.pyannote[1285].speaker SPEAKER_09
transcript.pyannote[1285].start 8984.41596875
transcript.pyannote[1285].end 8984.97284375
transcript.pyannote[1286].speaker SPEAKER_23
transcript.pyannote[1286].start 8984.97284375
transcript.pyannote[1286].end 8985.61409375
transcript.pyannote[1287].speaker SPEAKER_08
transcript.pyannote[1287].start 8985.61409375
transcript.pyannote[1287].end 8985.69846875
transcript.pyannote[1288].speaker SPEAKER_23
transcript.pyannote[1288].start 8985.69846875
transcript.pyannote[1288].end 8985.85034375
transcript.pyannote[1289].speaker SPEAKER_08
transcript.pyannote[1289].start 8985.85034375
transcript.pyannote[1289].end 8986.03596875
transcript.pyannote[1290].speaker SPEAKER_23
transcript.pyannote[1290].start 8986.03596875
transcript.pyannote[1290].end 8987.60534375
transcript.pyannote[1291].speaker SPEAKER_04
transcript.pyannote[1291].start 8987.67284375
transcript.pyannote[1291].end 8987.70659375
transcript.pyannote[1292].speaker SPEAKER_08
transcript.pyannote[1292].start 8987.70659375
transcript.pyannote[1292].end 8988.70221875
transcript.pyannote[1293].speaker SPEAKER_18
transcript.pyannote[1293].start 8988.70221875
transcript.pyannote[1293].end 8989.02284375
transcript.pyannote[1294].speaker SPEAKER_07
transcript.pyannote[1294].start 8989.02284375
transcript.pyannote[1294].end 8989.44471875
transcript.pyannote[1295].speaker SPEAKER_18
transcript.pyannote[1295].start 8989.44471875
transcript.pyannote[1295].end 8989.46159375
transcript.pyannote[1296].speaker SPEAKER_07
transcript.pyannote[1296].start 8989.46159375
transcript.pyannote[1296].end 8989.66409375
transcript.pyannote[1297].speaker SPEAKER_04
transcript.pyannote[1297].start 8989.66409375
transcript.pyannote[1297].end 8989.68096875
transcript.pyannote[1298].speaker SPEAKER_08
transcript.pyannote[1298].start 8989.68096875
transcript.pyannote[1298].end 8991.97596875
transcript.pyannote[1299].speaker SPEAKER_07
transcript.pyannote[1299].start 8991.97596875
transcript.pyannote[1299].end 8992.97159375
transcript.pyannote[1300].speaker SPEAKER_08
transcript.pyannote[1300].start 8992.97159375
transcript.pyannote[1300].end 8993.14034375
transcript.pyannote[1301].speaker SPEAKER_18
transcript.pyannote[1301].start 8993.14034375
transcript.pyannote[1301].end 8993.20784375
transcript.pyannote[1302].speaker SPEAKER_08
transcript.pyannote[1302].start 8993.20784375
transcript.pyannote[1302].end 8993.62971875
transcript.pyannote[1303].speaker SPEAKER_18
transcript.pyannote[1303].start 8993.62971875
transcript.pyannote[1303].end 8993.74784375
transcript.pyannote[1304].speaker SPEAKER_08
transcript.pyannote[1304].start 8993.74784375
transcript.pyannote[1304].end 8993.96721875
transcript.pyannote[1305].speaker SPEAKER_18
transcript.pyannote[1305].start 8993.96721875
transcript.pyannote[1305].end 8994.05159375
transcript.pyannote[1306].speaker SPEAKER_08
transcript.pyannote[1306].start 8994.05159375
transcript.pyannote[1306].end 8994.16971875
transcript.pyannote[1307].speaker SPEAKER_18
transcript.pyannote[1307].start 8994.08534375
transcript.pyannote[1307].end 8994.10221875
transcript.pyannote[1308].speaker SPEAKER_13
transcript.pyannote[1308].start 8994.10221875
transcript.pyannote[1308].end 8996.39721875
transcript.pyannote[1309].speaker SPEAKER_07
transcript.pyannote[1309].start 8995.31721875
transcript.pyannote[1309].end 8995.33409375
transcript.pyannote[1310].speaker SPEAKER_18
transcript.pyannote[1310].start 8995.33409375
transcript.pyannote[1310].end 8996.53221875
transcript.pyannote[1311].speaker SPEAKER_13
transcript.pyannote[1311].start 8996.53221875
transcript.pyannote[1311].end 8996.83596875
transcript.pyannote[1312].speaker SPEAKER_18
transcript.pyannote[1312].start 8996.83596875
transcript.pyannote[1312].end 8997.03846875
transcript.pyannote[1313].speaker SPEAKER_18
transcript.pyannote[1313].start 8997.59534375
transcript.pyannote[1313].end 8998.74284375
transcript.pyannote[1314].speaker SPEAKER_13
transcript.pyannote[1314].start 8998.74284375
transcript.pyannote[1314].end 8998.86096875
transcript.pyannote[1315].speaker SPEAKER_18
transcript.pyannote[1315].start 8998.86096875
transcript.pyannote[1315].end 8998.96221875
transcript.pyannote[1316].speaker SPEAKER_13
transcript.pyannote[1316].start 8998.96221875
transcript.pyannote[1316].end 8999.78909375
transcript.pyannote[1317].speaker SPEAKER_20
transcript.pyannote[1317].start 8999.78909375
transcript.pyannote[1317].end 8999.90721875
transcript.pyannote[1318].speaker SPEAKER_13
transcript.pyannote[1318].start 8999.90721875
transcript.pyannote[1318].end 8999.95784375
transcript.pyannote[1319].speaker SPEAKER_20
transcript.pyannote[1319].start 9001.02096875
transcript.pyannote[1319].end 9002.38784375
transcript.pyannote[1320].speaker SPEAKER_09
transcript.pyannote[1320].start 9003.13034375
transcript.pyannote[1320].end 9003.16409375
transcript.pyannote[1321].speaker SPEAKER_04
transcript.pyannote[1321].start 9003.28221875
transcript.pyannote[1321].end 9003.85596875
transcript.pyannote[1322].speaker SPEAKER_09
transcript.pyannote[1322].start 9003.85596875
transcript.pyannote[1322].end 9003.94034375
transcript.pyannote[1323].speaker SPEAKER_09
transcript.pyannote[1323].start 9003.97409375
transcript.pyannote[1323].end 9004.02471875
transcript.pyannote[1324].speaker SPEAKER_09
transcript.pyannote[1324].start 9004.17659375
transcript.pyannote[1324].end 9004.36221875
transcript.pyannote[1325].speaker SPEAKER_04
transcript.pyannote[1325].start 9004.36221875
transcript.pyannote[1325].end 9004.71659375
transcript.pyannote[1326].speaker SPEAKER_09
transcript.pyannote[1326].start 9004.71659375
transcript.pyannote[1326].end 9004.78409375
transcript.pyannote[1327].speaker SPEAKER_04
transcript.pyannote[1327].start 9004.78409375
transcript.pyannote[1327].end 9004.98659375
transcript.pyannote[1328].speaker SPEAKER_09
transcript.pyannote[1328].start 9004.98659375
transcript.pyannote[1328].end 9005.03721875
transcript.pyannote[1329].speaker SPEAKER_04
transcript.pyannote[1329].start 9005.03721875
transcript.pyannote[1329].end 9007.70346875
transcript.pyannote[1330].speaker SPEAKER_09
transcript.pyannote[1330].start 9008.96909375
transcript.pyannote[1330].end 9009.03659375
transcript.pyannote[1331].speaker SPEAKER_17
transcript.pyannote[1331].start 9017.03534375
transcript.pyannote[1331].end 9018.03096875
transcript.pyannote[1332].speaker SPEAKER_17
transcript.pyannote[1332].start 9018.09846875
transcript.pyannote[1332].end 9018.62159375
transcript.pyannote[1333].speaker SPEAKER_15
transcript.pyannote[1333].start 9019.19534375
transcript.pyannote[1333].end 9019.34721875
transcript.pyannote[1334].speaker SPEAKER_15
transcript.pyannote[1334].start 9020.71409375
transcript.pyannote[1334].end 9023.29596875
transcript.pyannote[1335].speaker SPEAKER_17
transcript.pyannote[1335].start 9023.29596875
transcript.pyannote[1335].end 9023.34659375
transcript.pyannote[1336].speaker SPEAKER_15
transcript.pyannote[1336].start 9023.34659375
transcript.pyannote[1336].end 9023.38034375
transcript.pyannote[1337].speaker SPEAKER_17
transcript.pyannote[1337].start 9023.38034375
transcript.pyannote[1337].end 9025.35471875
transcript.pyannote[1338].speaker SPEAKER_23
transcript.pyannote[1338].start 9025.35471875
transcript.pyannote[1338].end 9025.47284375
transcript.pyannote[1339].speaker SPEAKER_15
transcript.pyannote[1339].start 9025.47284375
transcript.pyannote[1339].end 9025.48971875
transcript.pyannote[1340].speaker SPEAKER_23
transcript.pyannote[1340].start 9025.48971875
transcript.pyannote[1340].end 9025.55721875
transcript.pyannote[1341].speaker SPEAKER_17
transcript.pyannote[1341].start 9025.55721875
transcript.pyannote[1341].end 9025.69221875
transcript.pyannote[1342].speaker SPEAKER_23
transcript.pyannote[1342].start 9025.69221875
transcript.pyannote[1342].end 9025.72596875
transcript.pyannote[1343].speaker SPEAKER_17
transcript.pyannote[1343].start 9025.72596875
transcript.pyannote[1343].end 9025.96221875
transcript.pyannote[1344].speaker SPEAKER_23
transcript.pyannote[1344].start 9025.96221875
transcript.pyannote[1344].end 9026.21534375
transcript.pyannote[1345].speaker SPEAKER_17
transcript.pyannote[1345].start 9026.21534375
transcript.pyannote[1345].end 9026.31659375
transcript.pyannote[1346].speaker SPEAKER_23
transcript.pyannote[1346].start 9026.31659375
transcript.pyannote[1346].end 9026.78909375
transcript.pyannote[1347].speaker SPEAKER_18
transcript.pyannote[1347].start 9028.86471875
transcript.pyannote[1347].end 9028.91534375
transcript.pyannote[1348].speaker SPEAKER_23
transcript.pyannote[1348].start 9028.91534375
transcript.pyannote[1348].end 9029.01659375
transcript.pyannote[1349].speaker SPEAKER_18
transcript.pyannote[1349].start 9029.01659375
transcript.pyannote[1349].end 9031.02471875
transcript.pyannote[1350].speaker SPEAKER_23
transcript.pyannote[1350].start 9029.28659375
transcript.pyannote[1350].end 9029.30346875
transcript.pyannote[1351].speaker SPEAKER_09
transcript.pyannote[1351].start 9029.30346875
transcript.pyannote[1351].end 9036.81284375
transcript.pyannote[1352].speaker SPEAKER_23
transcript.pyannote[1352].start 9031.02471875
transcript.pyannote[1352].end 9031.12596875
transcript.pyannote[1353].speaker SPEAKER_18
transcript.pyannote[1353].start 9031.12596875
transcript.pyannote[1353].end 9031.24409375
transcript.pyannote[1354].speaker SPEAKER_23
transcript.pyannote[1354].start 9031.24409375
transcript.pyannote[1354].end 9031.27784375
transcript.pyannote[1355].speaker SPEAKER_00
transcript.pyannote[1355].start 9032.45909375
transcript.pyannote[1355].end 9032.91471875
transcript.pyannote[1356].speaker SPEAKER_00
transcript.pyannote[1356].start 9033.45471875
transcript.pyannote[1356].end 9033.50534375
transcript.pyannote[1357].speaker SPEAKER_18
transcript.pyannote[1357].start 9033.50534375
transcript.pyannote[1357].end 9034.14659375
transcript.pyannote[1358].speaker SPEAKER_23
transcript.pyannote[1358].start 9034.14659375
transcript.pyannote[1358].end 9034.16346875
transcript.pyannote[1359].speaker SPEAKER_00
transcript.pyannote[1359].start 9034.16346875
transcript.pyannote[1359].end 9034.34909375
transcript.pyannote[1360].speaker SPEAKER_23
transcript.pyannote[1360].start 9036.81284375
transcript.pyannote[1360].end 9058.68284375
transcript.pyannote[1361].speaker SPEAKER_22
transcript.pyannote[1361].start 9049.13159375
transcript.pyannote[1361].end 9049.31721875
transcript.pyannote[1362].speaker SPEAKER_07
transcript.pyannote[1362].start 9049.31721875
transcript.pyannote[1362].end 9050.70096875
transcript.pyannote[1363].speaker SPEAKER_13
transcript.pyannote[1363].start 9050.70096875
transcript.pyannote[1363].end 9050.95409375
transcript.pyannote[1364].speaker SPEAKER_13
transcript.pyannote[1364].start 9054.61596875
transcript.pyannote[1364].end 9056.47221875
transcript.pyannote[1365].speaker SPEAKER_13
transcript.pyannote[1365].start 9057.11346875
transcript.pyannote[1365].end 9057.38346875
transcript.pyannote[1366].speaker SPEAKER_23
transcript.pyannote[1366].start 9061.51784375
transcript.pyannote[1366].end 9070.96784375
transcript.pyannote[1367].speaker SPEAKER_04
transcript.pyannote[1367].start 9066.47909375
transcript.pyannote[1367].end 9069.02721875
transcript.pyannote[1368].speaker SPEAKER_18
transcript.pyannote[1368].start 9069.02721875
transcript.pyannote[1368].end 9069.19596875
transcript.pyannote[1369].speaker SPEAKER_04
transcript.pyannote[1369].start 9069.19596875
transcript.pyannote[1369].end 9069.97221875
transcript.pyannote[1370].speaker SPEAKER_18
transcript.pyannote[1370].start 9069.97221875
transcript.pyannote[1370].end 9070.07346875
transcript.pyannote[1371].speaker SPEAKER_15
transcript.pyannote[1371].start 9070.96784375
transcript.pyannote[1371].end 9076.80659375
transcript.pyannote[1372].speaker SPEAKER_23
transcript.pyannote[1372].start 9071.25471875
transcript.pyannote[1372].end 9071.30534375
transcript.pyannote[1373].speaker SPEAKER_18
transcript.pyannote[1373].start 9071.30534375
transcript.pyannote[1373].end 9072.09846875
transcript.pyannote[1374].speaker SPEAKER_23
transcript.pyannote[1374].start 9072.09846875
transcript.pyannote[1374].end 9072.14909375
transcript.pyannote[1375].speaker SPEAKER_18
transcript.pyannote[1375].start 9072.14909375
transcript.pyannote[1375].end 9072.18284375
transcript.pyannote[1376].speaker SPEAKER_23
transcript.pyannote[1376].start 9072.18284375
transcript.pyannote[1376].end 9072.21659375
transcript.pyannote[1377].speaker SPEAKER_18
transcript.pyannote[1377].start 9072.21659375
transcript.pyannote[1377].end 9072.72284375
transcript.pyannote[1378].speaker SPEAKER_23
transcript.pyannote[1378].start 9072.72284375
transcript.pyannote[1378].end 9072.87471875
transcript.pyannote[1379].speaker SPEAKER_18
transcript.pyannote[1379].start 9072.87471875
transcript.pyannote[1379].end 9073.44846875
transcript.pyannote[1380].speaker SPEAKER_23
transcript.pyannote[1380].start 9073.44846875
transcript.pyannote[1380].end 9073.51596875
transcript.pyannote[1381].speaker SPEAKER_04
transcript.pyannote[1381].start 9074.73096875
transcript.pyannote[1381].end 9074.78159375
transcript.pyannote[1382].speaker SPEAKER_18
transcript.pyannote[1382].start 9074.79846875
transcript.pyannote[1382].end 9075.54096875
transcript.pyannote[1383].speaker SPEAKER_04
transcript.pyannote[1383].start 9075.54096875
transcript.pyannote[1383].end 9075.67596875
transcript.pyannote[1384].speaker SPEAKER_23
transcript.pyannote[1384].start 9081.32909375
transcript.pyannote[1384].end 9082.42596875
transcript.pyannote[1385].speaker SPEAKER_23
transcript.pyannote[1385].start 9082.59471875
transcript.pyannote[1385].end 9082.93221875
transcript.pyannote[1386].speaker SPEAKER_01
transcript.pyannote[1386].start 9087.28596875
transcript.pyannote[1386].end 9088.85534375
transcript.pyannote[1387].speaker SPEAKER_15
transcript.pyannote[1387].start 9091.69034375
transcript.pyannote[1387].end 9121.52534375
transcript.pyannote[1388].speaker SPEAKER_15
transcript.pyannote[1388].start 9121.67721875
transcript.pyannote[1388].end 9124.27596875
transcript.pyannote[1389].speaker SPEAKER_15
transcript.pyannote[1389].start 9124.37721875
transcript.pyannote[1389].end 9124.44471875
transcript.pyannote[1390].speaker SPEAKER_01
transcript.pyannote[1390].start 9124.44471875
transcript.pyannote[1390].end 9125.37284375
transcript.pyannote[1391].speaker SPEAKER_01
transcript.pyannote[1391].start 9125.62596875
transcript.pyannote[1391].end 9131.34659375
transcript.pyannote[1392].speaker SPEAKER_01
transcript.pyannote[1392].start 9131.66721875
transcript.pyannote[1392].end 9132.93284375
transcript.pyannote[1393].speaker SPEAKER_01
transcript.pyannote[1393].start 9133.27034375
transcript.pyannote[1393].end 9137.01659375
transcript.pyannote[1394].speaker SPEAKER_01
transcript.pyannote[1394].start 9137.33721875
transcript.pyannote[1394].end 9190.08846875
transcript.pyannote[1395].speaker SPEAKER_15
transcript.pyannote[1395].start 9191.32034375
transcript.pyannote[1395].end 9197.37846875
transcript.pyannote[1396].speaker SPEAKER_09
transcript.pyannote[1396].start 9199.18409375
transcript.pyannote[1396].end 9201.19221875
transcript.pyannote[1397].speaker SPEAKER_15
transcript.pyannote[1397].start 9199.72409375
transcript.pyannote[1397].end 9200.56784375
transcript.pyannote[1398].speaker SPEAKER_15
transcript.pyannote[1398].start 9201.19221875
transcript.pyannote[1398].end 9201.44534375
transcript.pyannote[1399].speaker SPEAKER_09
transcript.pyannote[1399].start 9201.44534375
transcript.pyannote[1399].end 9202.59284375
transcript.pyannote[1400].speaker SPEAKER_15
transcript.pyannote[1400].start 9201.46221875
transcript.pyannote[1400].end 9202.55909375
transcript.pyannote[1401].speaker SPEAKER_15
transcript.pyannote[1401].start 9205.24221875
transcript.pyannote[1401].end 9206.92971875
transcript.pyannote[1402].speaker SPEAKER_15
transcript.pyannote[1402].start 9209.62971875
transcript.pyannote[1402].end 9211.67159375
transcript.pyannote[1403].speaker SPEAKER_09
transcript.pyannote[1403].start 9214.96221875
transcript.pyannote[1403].end 9360.49221875
transcript.pyannote[1404].speaker SPEAKER_09
transcript.pyannote[1404].start 9362.46659375
transcript.pyannote[1404].end 9386.66534375
transcript.pyannote[1405].speaker SPEAKER_09
transcript.pyannote[1405].start 9387.98159375
transcript.pyannote[1405].end 9476.69346875
transcript.pyannote[1406].speaker SPEAKER_09
transcript.pyannote[1406].start 9477.18284375
transcript.pyannote[1406].end 9493.41659375
transcript.pyannote[1407].speaker SPEAKER_09
transcript.pyannote[1407].start 9493.55159375
transcript.pyannote[1407].end 9518.56034375
transcript.pyannote[1408].speaker SPEAKER_15
transcript.pyannote[1408].start 9524.16284375
transcript.pyannote[1408].end 9544.49721875
transcript.pyannote[1409].speaker SPEAKER_14
transcript.pyannote[1409].start 9528.88784375
transcript.pyannote[1409].end 9528.92159375
transcript.pyannote[1410].speaker SPEAKER_15
transcript.pyannote[1410].start 9544.71659375
transcript.pyannote[1410].end 9550.03221875
transcript.pyannote[1411].speaker SPEAKER_22
transcript.pyannote[1411].start 9550.03221875
transcript.pyannote[1411].end 9561.03471875
transcript.pyannote[1412].speaker SPEAKER_22
transcript.pyannote[1412].start 9561.27096875
transcript.pyannote[1412].end 9571.81784375
transcript.pyannote[1413].speaker SPEAKER_22
transcript.pyannote[1413].start 9572.10471875
transcript.pyannote[1413].end 9594.75096875
transcript.pyannote[1414].speaker SPEAKER_09
transcript.pyannote[1414].start 9594.32909375
transcript.pyannote[1414].end 9596.18534375
transcript.pyannote[1415].speaker SPEAKER_22
transcript.pyannote[1415].start 9595.62846875
transcript.pyannote[1415].end 9597.01221875
transcript.pyannote[1416].speaker SPEAKER_09
transcript.pyannote[1416].start 9596.57346875
transcript.pyannote[1416].end 9597.26534375
transcript.pyannote[1417].speaker SPEAKER_22
transcript.pyannote[1417].start 9597.26534375
transcript.pyannote[1417].end 9611.89596875
transcript.pyannote[1418].speaker SPEAKER_22
transcript.pyannote[1418].start 9612.28409375
transcript.pyannote[1418].end 9630.27284375
transcript.pyannote[1419].speaker SPEAKER_22
transcript.pyannote[1419].start 9630.37409375
transcript.pyannote[1419].end 9674.40096875
transcript.pyannote[1420].speaker SPEAKER_22
transcript.pyannote[1420].start 9676.12221875
transcript.pyannote[1420].end 9689.90909375
transcript.pyannote[1421].speaker SPEAKER_09
transcript.pyannote[1421].start 9688.60971875
transcript.pyannote[1421].end 9688.67721875
transcript.pyannote[1422].speaker SPEAKER_15
transcript.pyannote[1422].start 9688.67721875
transcript.pyannote[1422].end 9689.41971875
transcript.pyannote[1423].speaker SPEAKER_09
transcript.pyannote[1423].start 9689.45346875
transcript.pyannote[1423].end 9692.03534375
transcript.pyannote[1424].speaker SPEAKER_22
transcript.pyannote[1424].start 9690.56721875
transcript.pyannote[1424].end 9691.05659375
transcript.pyannote[1425].speaker SPEAKER_15
transcript.pyannote[1425].start 9691.05659375
transcript.pyannote[1425].end 9693.31784375
transcript.pyannote[1426].speaker SPEAKER_09
transcript.pyannote[1426].start 9692.17034375
transcript.pyannote[1426].end 9701.16471875
transcript.pyannote[1427].speaker SPEAKER_22
transcript.pyannote[1427].start 9700.30409375
transcript.pyannote[1427].end 9701.02971875
transcript.pyannote[1428].speaker SPEAKER_22
transcript.pyannote[1428].start 9701.16471875
transcript.pyannote[1428].end 9701.18159375
transcript.pyannote[1429].speaker SPEAKER_09
transcript.pyannote[1429].start 9701.18159375
transcript.pyannote[1429].end 9701.48534375
transcript.pyannote[1430].speaker SPEAKER_22
transcript.pyannote[1430].start 9701.24909375
transcript.pyannote[1430].end 9701.55284375
transcript.pyannote[1431].speaker SPEAKER_22
transcript.pyannote[1431].start 9702.12659375
transcript.pyannote[1431].end 9717.90471875
transcript.pyannote[1432].speaker SPEAKER_22
transcript.pyannote[1432].start 9718.29284375
transcript.pyannote[1432].end 9718.76534375
transcript.pyannote[1433].speaker SPEAKER_22
transcript.pyannote[1433].start 9718.96784375
transcript.pyannote[1433].end 9726.62909375
transcript.pyannote[1434].speaker SPEAKER_09
transcript.pyannote[1434].start 9720.40221875
transcript.pyannote[1434].end 9720.97596875
transcript.pyannote[1435].speaker SPEAKER_22
transcript.pyannote[1435].start 9727.10159375
transcript.pyannote[1435].end 9737.00721875
transcript.pyannote[1436].speaker SPEAKER_09
transcript.pyannote[1436].start 9736.88909375
transcript.pyannote[1436].end 9736.92284375
transcript.pyannote[1437].speaker SPEAKER_09
transcript.pyannote[1437].start 9736.97346875
transcript.pyannote[1437].end 9739.45409375
transcript.pyannote[1438].speaker SPEAKER_22
transcript.pyannote[1438].start 9738.30659375
transcript.pyannote[1438].end 9750.55784375
transcript.pyannote[1439].speaker SPEAKER_09
transcript.pyannote[1439].start 9741.90096875
transcript.pyannote[1439].end 9742.13721875
transcript.pyannote[1440].speaker SPEAKER_22
transcript.pyannote[1440].start 9750.99659375
transcript.pyannote[1440].end 9815.03721875
transcript.pyannote[1441].speaker SPEAKER_22
transcript.pyannote[1441].start 9815.25659375
transcript.pyannote[1441].end 9836.21534375
transcript.pyannote[1442].speaker SPEAKER_22
transcript.pyannote[1442].start 9836.23221875
transcript.pyannote[1442].end 9862.10159375
transcript.pyannote[1443].speaker SPEAKER_22
transcript.pyannote[1443].start 9862.35471875
transcript.pyannote[1443].end 9862.77659375
transcript.pyannote[1444].speaker SPEAKER_09
transcript.pyannote[1444].start 9862.86096875
transcript.pyannote[1444].end 9877.13721875
transcript.pyannote[1445].speaker SPEAKER_09
transcript.pyannote[1445].start 9877.67721875
transcript.pyannote[1445].end 9884.93346875
transcript.pyannote[1446].speaker SPEAKER_09
transcript.pyannote[1446].start 9885.57471875
transcript.pyannote[1446].end 9914.53221875
transcript.pyannote[1447].speaker SPEAKER_09
transcript.pyannote[1447].start 9914.73471875
transcript.pyannote[1447].end 9926.26034375
transcript.pyannote[1448].speaker SPEAKER_09
transcript.pyannote[1448].start 9926.47971875
transcript.pyannote[1448].end 9942.02159375
transcript.pyannote[1449].speaker SPEAKER_09
transcript.pyannote[1449].start 9942.73034375
transcript.pyannote[1449].end 9946.52721875
transcript.pyannote[1450].speaker SPEAKER_09
transcript.pyannote[1450].start 9947.18534375
transcript.pyannote[1450].end 9949.53096875
transcript.pyannote[1451].speaker SPEAKER_09
transcript.pyannote[1451].start 9949.88534375
transcript.pyannote[1451].end 9956.77034375
transcript.pyannote[1452].speaker SPEAKER_22
transcript.pyannote[1452].start 9957.79971875
transcript.pyannote[1452].end 9959.14971875
transcript.pyannote[1453].speaker SPEAKER_09
transcript.pyannote[1453].start 9959.14971875
transcript.pyannote[1453].end 9962.06909375
transcript.pyannote[1454].speaker SPEAKER_22
transcript.pyannote[1454].start 9960.46596875
transcript.pyannote[1454].end 9961.14096875
transcript.pyannote[1455].speaker SPEAKER_22
transcript.pyannote[1455].start 9961.96784375
transcript.pyannote[1455].end 9966.22034375
transcript.pyannote[1456].speaker SPEAKER_22
transcript.pyannote[1456].start 9966.74346875
transcript.pyannote[1456].end 9968.00909375
transcript.pyannote[1457].speaker SPEAKER_22
transcript.pyannote[1457].start 9968.51534375
transcript.pyannote[1457].end 9974.20221875
transcript.pyannote[1458].speaker SPEAKER_09
transcript.pyannote[1458].start 9973.88159375
transcript.pyannote[1458].end 9977.44221875
transcript.pyannote[1459].speaker SPEAKER_22
transcript.pyannote[1459].start 9977.20596875
transcript.pyannote[1459].end 9977.37471875
transcript.pyannote[1460].speaker SPEAKER_22
transcript.pyannote[1460].start 9977.40846875
transcript.pyannote[1460].end 9977.42534375
transcript.pyannote[1461].speaker SPEAKER_22
transcript.pyannote[1461].start 9977.44221875
transcript.pyannote[1461].end 9977.99909375
transcript.pyannote[1462].speaker SPEAKER_18
transcript.pyannote[1462].start 9977.99909375
transcript.pyannote[1462].end 9978.23534375
transcript.pyannote[1463].speaker SPEAKER_22
transcript.pyannote[1463].start 9978.23534375
transcript.pyannote[1463].end 9978.97784375
transcript.pyannote[1464].speaker SPEAKER_18
transcript.pyannote[1464].start 9978.97784375
transcript.pyannote[1464].end 9980.24346875
transcript.pyannote[1465].speaker SPEAKER_22
transcript.pyannote[1465].start 9979.26471875
transcript.pyannote[1465].end 9998.89034375
transcript.pyannote[1466].speaker SPEAKER_22
transcript.pyannote[1466].start 9999.64971875
transcript.pyannote[1466].end 10043.65971875
transcript.pyannote[1467].speaker SPEAKER_22
transcript.pyannote[1467].start 10044.09846875
transcript.pyannote[1467].end 10049.02596875
transcript.pyannote[1468].speaker SPEAKER_22
transcript.pyannote[1468].start 10049.65034375
transcript.pyannote[1468].end 10058.72909375
transcript.pyannote[1469].speaker SPEAKER_22
transcript.pyannote[1469].start 10059.16784375
transcript.pyannote[1469].end 10096.52909375
transcript.pyannote[1470].speaker SPEAKER_09
transcript.pyannote[1470].start 10097.22096875
transcript.pyannote[1470].end 10098.70596875
transcript.pyannote[1471].speaker SPEAKER_09
transcript.pyannote[1471].start 10098.77346875
transcript.pyannote[1471].end 10103.51534375
transcript.pyannote[1472].speaker SPEAKER_09
transcript.pyannote[1472].start 10103.92034375
transcript.pyannote[1472].end 10107.76784375
transcript.pyannote[1473].speaker SPEAKER_09
transcript.pyannote[1473].start 10108.30784375
transcript.pyannote[1473].end 10117.53846875
transcript.pyannote[1474].speaker SPEAKER_09
transcript.pyannote[1474].start 10117.70721875
transcript.pyannote[1474].end 10118.68596875
transcript.pyannote[1475].speaker SPEAKER_09
transcript.pyannote[1475].start 10118.95596875
transcript.pyannote[1475].end 10122.21284375
transcript.pyannote[1476].speaker SPEAKER_09
transcript.pyannote[1476].start 10122.55034375
transcript.pyannote[1476].end 10126.70159375
transcript.pyannote[1477].speaker SPEAKER_09
transcript.pyannote[1477].start 10127.32596875
transcript.pyannote[1477].end 10129.14846875
transcript.pyannote[1478].speaker SPEAKER_09
transcript.pyannote[1478].start 10130.12721875
transcript.pyannote[1478].end 10137.58596875
transcript.pyannote[1479].speaker SPEAKER_09
transcript.pyannote[1479].start 10138.37909375
transcript.pyannote[1479].end 10147.17096875
transcript.pyannote[1480].speaker SPEAKER_15
transcript.pyannote[1480].start 10148.82471875
transcript.pyannote[1480].end 10157.34659375
transcript.pyannote[1481].speaker SPEAKER_10
transcript.pyannote[1481].start 10159.03409375
transcript.pyannote[1481].end 10187.09721875
transcript.pyannote[1482].speaker SPEAKER_10
transcript.pyannote[1482].start 10187.23221875
transcript.pyannote[1482].end 10198.92659375
transcript.pyannote[1483].speaker SPEAKER_10
transcript.pyannote[1483].start 10198.97721875
transcript.pyannote[1483].end 10214.02971875
transcript.pyannote[1484].speaker SPEAKER_10
transcript.pyannote[1484].start 10214.63721875
transcript.pyannote[1484].end 10256.25096875
transcript.pyannote[1485].speaker SPEAKER_10
transcript.pyannote[1485].start 10257.22971875
transcript.pyannote[1485].end 10271.60721875
transcript.pyannote[1486].speaker SPEAKER_10
transcript.pyannote[1486].start 10272.13034375
transcript.pyannote[1486].end 10278.91409375
transcript.pyannote[1487].speaker SPEAKER_10
transcript.pyannote[1487].start 10279.16721875
transcript.pyannote[1487].end 10284.97221875
transcript.pyannote[1488].speaker SPEAKER_10
transcript.pyannote[1488].start 10285.57971875
transcript.pyannote[1488].end 10289.88284375
transcript.pyannote[1489].speaker SPEAKER_10
transcript.pyannote[1489].start 10290.50721875
transcript.pyannote[1489].end 10300.73346875
transcript.pyannote[1490].speaker SPEAKER_10
transcript.pyannote[1490].start 10301.08784375
transcript.pyannote[1490].end 10331.17596875
transcript.pyannote[1491].speaker SPEAKER_10
transcript.pyannote[1491].start 10331.54721875
transcript.pyannote[1491].end 10335.73221875
transcript.pyannote[1492].speaker SPEAKER_10
transcript.pyannote[1492].start 10336.49159375
transcript.pyannote[1492].end 10341.28409375
transcript.pyannote[1493].speaker SPEAKER_10
transcript.pyannote[1493].start 10341.97596875
transcript.pyannote[1493].end 10345.08096875
transcript.pyannote[1494].speaker SPEAKER_10
transcript.pyannote[1494].start 10346.00909375
transcript.pyannote[1494].end 10347.05534375
transcript.pyannote[1495].speaker SPEAKER_10
transcript.pyannote[1495].start 10347.59534375
transcript.pyannote[1495].end 10350.22784375
transcript.pyannote[1496].speaker SPEAKER_10
transcript.pyannote[1496].start 10350.81846875
transcript.pyannote[1496].end 10354.51409375
transcript.pyannote[1497].speaker SPEAKER_10
transcript.pyannote[1497].start 10355.44221875
transcript.pyannote[1497].end 10358.44596875
transcript.pyannote[1498].speaker SPEAKER_10
transcript.pyannote[1498].start 10359.10409375
transcript.pyannote[1498].end 10360.23471875
transcript.pyannote[1499].speaker SPEAKER_10
transcript.pyannote[1499].start 10361.06159375
transcript.pyannote[1499].end 10371.32159375
transcript.pyannote[1500].speaker SPEAKER_10
transcript.pyannote[1500].start 10371.94596875
transcript.pyannote[1500].end 10386.47534375
transcript.pyannote[1501].speaker SPEAKER_10
transcript.pyannote[1501].start 10387.50471875
transcript.pyannote[1501].end 10392.02721875
transcript.pyannote[1502].speaker SPEAKER_10
transcript.pyannote[1502].start 10392.56721875
transcript.pyannote[1502].end 10396.41471875
transcript.pyannote[1503].speaker SPEAKER_10
transcript.pyannote[1503].start 10397.24159375
transcript.pyannote[1503].end 10398.79409375
transcript.pyannote[1504].speaker SPEAKER_10
transcript.pyannote[1504].start 10398.96284375
transcript.pyannote[1504].end 10407.78846875
transcript.pyannote[1505].speaker SPEAKER_10
transcript.pyannote[1505].start 10407.92346875
transcript.pyannote[1505].end 10416.12471875
transcript.pyannote[1506].speaker SPEAKER_10
transcript.pyannote[1506].start 10416.39471875
transcript.pyannote[1506].end 10422.75659375
transcript.pyannote[1507].speaker SPEAKER_10
transcript.pyannote[1507].start 10422.99284375
transcript.pyannote[1507].end 10425.40596875
transcript.pyannote[1508].speaker SPEAKER_10
transcript.pyannote[1508].start 10425.84471875
transcript.pyannote[1508].end 10427.81909375
transcript.pyannote[1509].speaker SPEAKER_15
transcript.pyannote[1509].start 10428.69659375
transcript.pyannote[1509].end 10429.74284375
transcript.pyannote[1510].speaker SPEAKER_15
transcript.pyannote[1510].start 10430.28284375
transcript.pyannote[1510].end 10430.72159375
transcript.pyannote[1511].speaker SPEAKER_15
transcript.pyannote[1511].start 10430.97471875
transcript.pyannote[1511].end 10465.51784375
transcript.pyannote[1512].speaker SPEAKER_12
transcript.pyannote[1512].start 10465.51784375
transcript.pyannote[1512].end 10465.92284375
transcript.pyannote[1513].speaker SPEAKER_12
transcript.pyannote[1513].start 10466.58096875
transcript.pyannote[1513].end 10469.61846875
transcript.pyannote[1514].speaker SPEAKER_12
transcript.pyannote[1514].start 10470.32721875
transcript.pyannote[1514].end 10473.48284375
transcript.pyannote[1515].speaker SPEAKER_12
transcript.pyannote[1515].start 10474.15784375
transcript.pyannote[1515].end 10476.04784375
transcript.pyannote[1516].speaker SPEAKER_12
transcript.pyannote[1516].start 10476.82409375
transcript.pyannote[1516].end 10477.87034375
transcript.pyannote[1517].speaker SPEAKER_12
transcript.pyannote[1517].start 10477.97159375
transcript.pyannote[1517].end 10479.06846875
transcript.pyannote[1518].speaker SPEAKER_12
transcript.pyannote[1518].start 10480.19909375
transcript.pyannote[1518].end 10482.67971875
transcript.pyannote[1519].speaker SPEAKER_12
transcript.pyannote[1519].start 10483.20284375
transcript.pyannote[1519].end 10486.17284375
transcript.pyannote[1520].speaker SPEAKER_12
transcript.pyannote[1520].start 10486.39221875
transcript.pyannote[1520].end 10487.26971875
transcript.pyannote[1521].speaker SPEAKER_12
transcript.pyannote[1521].start 10487.97846875
transcript.pyannote[1521].end 10497.83346875
transcript.pyannote[1522].speaker SPEAKER_12
transcript.pyannote[1522].start 10498.45784375
transcript.pyannote[1522].end 10499.03159375
transcript.pyannote[1523].speaker SPEAKER_12
transcript.pyannote[1523].start 10499.04846875
transcript.pyannote[1523].end 10499.85846875
transcript.pyannote[1524].speaker SPEAKER_12
transcript.pyannote[1524].start 10500.16221875
transcript.pyannote[1524].end 10502.27159375
transcript.pyannote[1525].speaker SPEAKER_12
transcript.pyannote[1525].start 10502.96346875
transcript.pyannote[1525].end 10504.41471875
transcript.pyannote[1526].speaker SPEAKER_12
transcript.pyannote[1526].start 10504.93784375
transcript.pyannote[1526].end 10506.13596875
transcript.pyannote[1527].speaker SPEAKER_12
transcript.pyannote[1527].start 10506.28784375
transcript.pyannote[1527].end 10508.41409375
transcript.pyannote[1528].speaker SPEAKER_12
transcript.pyannote[1528].start 10508.43096875
transcript.pyannote[1528].end 10512.81846875
transcript.pyannote[1529].speaker SPEAKER_12
transcript.pyannote[1529].start 10513.30784375
transcript.pyannote[1529].end 10515.92346875
transcript.pyannote[1530].speaker SPEAKER_12
transcript.pyannote[1530].start 10516.69971875
transcript.pyannote[1530].end 10518.01596875
transcript.pyannote[1531].speaker SPEAKER_12
transcript.pyannote[1531].start 10518.69096875
transcript.pyannote[1531].end 10520.96909375
transcript.pyannote[1532].speaker SPEAKER_12
transcript.pyannote[1532].start 10521.52596875
transcript.pyannote[1532].end 10522.16721875
transcript.pyannote[1533].speaker SPEAKER_12
transcript.pyannote[1533].start 10522.97721875
transcript.pyannote[1533].end 10525.12034375
transcript.pyannote[1534].speaker SPEAKER_12
transcript.pyannote[1534].start 10526.16659375
transcript.pyannote[1534].end 10529.82846875
transcript.pyannote[1535].speaker SPEAKER_12
transcript.pyannote[1535].start 10530.33471875
transcript.pyannote[1535].end 10533.65909375
transcript.pyannote[1536].speaker SPEAKER_12
transcript.pyannote[1536].start 10533.79409375
transcript.pyannote[1536].end 10535.16096875
transcript.pyannote[1537].speaker SPEAKER_12
transcript.pyannote[1537].start 10535.51534375
transcript.pyannote[1537].end 10545.08346875
transcript.pyannote[1538].speaker SPEAKER_12
transcript.pyannote[1538].start 10545.30284375
transcript.pyannote[1538].end 10546.11284375
transcript.pyannote[1539].speaker SPEAKER_12
transcript.pyannote[1539].start 10546.68659375
transcript.pyannote[1539].end 10564.33784375
transcript.pyannote[1540].speaker SPEAKER_09
transcript.pyannote[1540].start 10566.56534375
transcript.pyannote[1540].end 10574.90159375
transcript.pyannote[1541].speaker SPEAKER_09
transcript.pyannote[1541].start 10575.57659375
transcript.pyannote[1541].end 10584.46971875
transcript.pyannote[1542].speaker SPEAKER_09
transcript.pyannote[1542].start 10584.50346875
transcript.pyannote[1542].end 10584.55409375
transcript.pyannote[1543].speaker SPEAKER_09
transcript.pyannote[1543].start 10585.00971875
transcript.pyannote[1543].end 10588.06409375
transcript.pyannote[1544].speaker SPEAKER_09
transcript.pyannote[1544].start 10588.89096875
transcript.pyannote[1544].end 10635.49971875
transcript.pyannote[1545].speaker SPEAKER_09
transcript.pyannote[1545].start 10636.00596875
transcript.pyannote[1545].end 10651.85159375
transcript.pyannote[1546].speaker SPEAKER_13
transcript.pyannote[1546].start 10654.88909375
transcript.pyannote[1546].end 10655.96909375
transcript.pyannote[1547].speaker SPEAKER_14
transcript.pyannote[1547].start 10655.96909375
transcript.pyannote[1547].end 10656.03659375
transcript.pyannote[1548].speaker SPEAKER_22
transcript.pyannote[1548].start 10656.03659375
transcript.pyannote[1548].end 10656.32346875
transcript.pyannote[1549].speaker SPEAKER_15
transcript.pyannote[1549].start 10656.32346875
transcript.pyannote[1549].end 10656.35721875
transcript.pyannote[1550].speaker SPEAKER_22
transcript.pyannote[1550].start 10656.35721875
transcript.pyannote[1550].end 10658.29784375
transcript.pyannote[1551].speaker SPEAKER_15
transcript.pyannote[1551].start 10656.39096875
transcript.pyannote[1551].end 10657.25159375
transcript.pyannote[1552].speaker SPEAKER_14
transcript.pyannote[1552].start 10657.25159375
transcript.pyannote[1552].end 10657.26846875
transcript.pyannote[1553].speaker SPEAKER_22
transcript.pyannote[1553].start 10658.50034375
transcript.pyannote[1553].end 10681.24784375
transcript.pyannote[1554].speaker SPEAKER_18
transcript.pyannote[1554].start 10681.36596875
transcript.pyannote[1554].end 10684.21784375
transcript.pyannote[1555].speaker SPEAKER_22
transcript.pyannote[1555].start 10685.48346875
transcript.pyannote[1555].end 10701.63284375
transcript.pyannote[1556].speaker SPEAKER_22
transcript.pyannote[1556].start 10702.18971875
transcript.pyannote[1556].end 10738.28534375
transcript.pyannote[1557].speaker SPEAKER_00
transcript.pyannote[1557].start 10711.08284375
transcript.pyannote[1557].end 10711.60596875
transcript.pyannote[1558].speaker SPEAKER_22
transcript.pyannote[1558].start 10738.70721875
transcript.pyannote[1558].end 10753.23659375
transcript.pyannote[1559].speaker SPEAKER_22
transcript.pyannote[1559].start 10753.27034375
transcript.pyannote[1559].end 10762.72034375
transcript.pyannote[1560].speaker SPEAKER_22
transcript.pyannote[1560].start 10762.99034375
transcript.pyannote[1560].end 10763.81721875
transcript.pyannote[1561].speaker SPEAKER_22
transcript.pyannote[1561].start 10765.11659375
transcript.pyannote[1561].end 10796.99346875
transcript.pyannote[1562].speaker SPEAKER_22
transcript.pyannote[1562].start 10797.78659375
transcript.pyannote[1562].end 10819.25159375
transcript.pyannote[1563].speaker SPEAKER_09
transcript.pyannote[1563].start 10820.38221875
transcript.pyannote[1563].end 10826.87909375
transcript.pyannote[1564].speaker SPEAKER_09
transcript.pyannote[1564].start 10828.58346875
transcript.pyannote[1564].end 10829.95034375
transcript.pyannote[1565].speaker SPEAKER_15
transcript.pyannote[1565].start 10830.16971875
transcript.pyannote[1565].end 10830.47346875
transcript.pyannote[1566].speaker SPEAKER_15
transcript.pyannote[1566].start 10831.26659375
transcript.pyannote[1566].end 10844.04096875
transcript.pyannote[1567].speaker SPEAKER_22
transcript.pyannote[1567].start 10844.04096875
transcript.pyannote[1567].end 10844.05784375
transcript.pyannote[1568].speaker SPEAKER_15
transcript.pyannote[1568].start 10844.05784375
transcript.pyannote[1568].end 10844.53034375
transcript.pyannote[1569].speaker SPEAKER_22
transcript.pyannote[1569].start 10844.14221875
transcript.pyannote[1569].end 10870.61909375
transcript.pyannote[1570].speaker SPEAKER_22
transcript.pyannote[1570].start 10870.90596875
transcript.pyannote[1570].end 10876.28909375
transcript.pyannote[1571].speaker SPEAKER_18
transcript.pyannote[1571].start 10874.77034375
transcript.pyannote[1571].end 10874.80409375
transcript.pyannote[1572].speaker SPEAKER_08
transcript.pyannote[1572].start 10874.80409375
transcript.pyannote[1572].end 10875.17534375
transcript.pyannote[1573].speaker SPEAKER_18
transcript.pyannote[1573].start 10875.17534375
transcript.pyannote[1573].end 10875.59721875
transcript.pyannote[1574].speaker SPEAKER_08
transcript.pyannote[1574].start 10878.73596875
transcript.pyannote[1574].end 10911.08534375
transcript.pyannote[1575].speaker SPEAKER_08
transcript.pyannote[1575].start 10911.35534375
transcript.pyannote[1575].end 10918.10534375
transcript.pyannote[1576].speaker SPEAKER_08
transcript.pyannote[1576].start 10918.18971875
transcript.pyannote[1576].end 10926.25596875
transcript.pyannote[1577].speaker SPEAKER_08
transcript.pyannote[1577].start 10926.42471875
transcript.pyannote[1577].end 10962.14909375
transcript.pyannote[1578].speaker SPEAKER_08
transcript.pyannote[1578].start 10962.23346875
transcript.pyannote[1578].end 10966.51971875
transcript.pyannote[1579].speaker SPEAKER_08
transcript.pyannote[1579].start 10966.84034375
transcript.pyannote[1579].end 10986.21284375
transcript.pyannote[1580].speaker SPEAKER_15
transcript.pyannote[1580].start 10988.06909375
transcript.pyannote[1580].end 10988.32221875
transcript.pyannote[1581].speaker SPEAKER_15
transcript.pyannote[1581].start 10989.77346875
transcript.pyannote[1581].end 10990.87034375
transcript.pyannote[1582].speaker SPEAKER_15
transcript.pyannote[1582].start 10991.39346875
transcript.pyannote[1582].end 10992.15284375
transcript.pyannote[1583].speaker SPEAKER_08
transcript.pyannote[1583].start 10998.43034375
transcript.pyannote[1583].end 10999.15596875
transcript.pyannote[1584].speaker SPEAKER_10
transcript.pyannote[1584].start 11001.50159375
transcript.pyannote[1584].end 11008.94346875
transcript.pyannote[1585].speaker SPEAKER_10
transcript.pyannote[1585].start 11009.53409375
transcript.pyannote[1585].end 11012.87534375
transcript.pyannote[1586].speaker SPEAKER_10
transcript.pyannote[1586].start 11013.48284375
transcript.pyannote[1586].end 11016.08159375
transcript.pyannote[1587].speaker SPEAKER_10
transcript.pyannote[1587].start 11016.35159375
transcript.pyannote[1587].end 11019.62534375
transcript.pyannote[1588].speaker SPEAKER_10
transcript.pyannote[1588].start 11019.86159375
transcript.pyannote[1588].end 11025.49784375
transcript.pyannote[1589].speaker SPEAKER_10
transcript.pyannote[1589].start 11025.97034375
transcript.pyannote[1589].end 11028.41721875
transcript.pyannote[1590].speaker SPEAKER_10
transcript.pyannote[1590].start 11029.24409375
transcript.pyannote[1590].end 11037.44534375
transcript.pyannote[1591].speaker SPEAKER_10
transcript.pyannote[1591].start 11037.83346875
transcript.pyannote[1591].end 11040.66846875
transcript.pyannote[1592].speaker SPEAKER_10
transcript.pyannote[1592].start 11041.17471875
transcript.pyannote[1592].end 11044.22909375
transcript.pyannote[1593].speaker SPEAKER_10
transcript.pyannote[1593].start 11045.69721875
transcript.pyannote[1593].end 11052.29534375
transcript.pyannote[1594].speaker SPEAKER_22
transcript.pyannote[1594].start 11053.02096875
transcript.pyannote[1594].end 11056.22721875
transcript.pyannote[1595].speaker SPEAKER_10
transcript.pyannote[1595].start 11054.21909375
transcript.pyannote[1595].end 11058.31971875
transcript.pyannote[1596].speaker SPEAKER_10
transcript.pyannote[1596].start 11060.34471875
transcript.pyannote[1596].end 11062.97721875
transcript.pyannote[1597].speaker SPEAKER_08
transcript.pyannote[1597].start 11062.97721875
transcript.pyannote[1597].end 11096.44034375
transcript.pyannote[1598].speaker SPEAKER_08
transcript.pyannote[1598].start 11096.47409375
transcript.pyannote[1598].end 11105.95784375
transcript.pyannote[1599].speaker SPEAKER_10
transcript.pyannote[1599].start 11106.80159375
transcript.pyannote[1599].end 11116.50471875
transcript.pyannote[1600].speaker SPEAKER_10
transcript.pyannote[1600].start 11116.82534375
transcript.pyannote[1600].end 11134.12221875
transcript.pyannote[1601].speaker SPEAKER_10
transcript.pyannote[1601].start 11134.17284375
transcript.pyannote[1601].end 11141.54721875
transcript.pyannote[1602].speaker SPEAKER_10
transcript.pyannote[1602].start 11141.95221875
transcript.pyannote[1602].end 11142.76221875
transcript.pyannote[1603].speaker SPEAKER_10
transcript.pyannote[1603].start 11142.88034375
transcript.pyannote[1603].end 11147.48721875
transcript.pyannote[1604].speaker SPEAKER_10
transcript.pyannote[1604].start 11148.22971875
transcript.pyannote[1604].end 11151.36846875
transcript.pyannote[1605].speaker SPEAKER_10
transcript.pyannote[1605].start 11151.65534375
transcript.pyannote[1605].end 11154.59159375
transcript.pyannote[1606].speaker SPEAKER_10
transcript.pyannote[1606].start 11154.62534375
transcript.pyannote[1606].end 11156.76846875
transcript.pyannote[1607].speaker SPEAKER_10
transcript.pyannote[1607].start 11157.20721875
transcript.pyannote[1607].end 11158.55721875
transcript.pyannote[1608].speaker SPEAKER_10
transcript.pyannote[1608].start 11158.91159375
transcript.pyannote[1608].end 11167.39971875
transcript.pyannote[1609].speaker SPEAKER_10
transcript.pyannote[1609].start 11168.02409375
transcript.pyannote[1609].end 11182.82346875
transcript.pyannote[1610].speaker SPEAKER_10
transcript.pyannote[1610].start 11183.09346875
transcript.pyannote[1610].end 11186.89034375
transcript.pyannote[1611].speaker SPEAKER_10
transcript.pyannote[1611].start 11187.39659375
transcript.pyannote[1611].end 11203.78221875
transcript.pyannote[1612].speaker SPEAKER_15
transcript.pyannote[1612].start 11204.25471875
transcript.pyannote[1612].end 11206.00971875
transcript.pyannote[1613].speaker SPEAKER_15
transcript.pyannote[1613].start 11207.57909375
transcript.pyannote[1613].end 11207.96721875
transcript.pyannote[1614].speaker SPEAKER_12
transcript.pyannote[1614].start 11207.96721875
transcript.pyannote[1614].end 11208.32159375
transcript.pyannote[1615].speaker SPEAKER_12
transcript.pyannote[1615].start 11209.65471875
transcript.pyannote[1615].end 11210.56596875
transcript.pyannote[1616].speaker SPEAKER_12
transcript.pyannote[1616].start 11211.56159375
transcript.pyannote[1616].end 11214.21096875
transcript.pyannote[1617].speaker SPEAKER_12
transcript.pyannote[1617].start 11215.20659375
transcript.pyannote[1617].end 11222.00721875
transcript.pyannote[1618].speaker SPEAKER_12
transcript.pyannote[1618].start 11222.05784375
transcript.pyannote[1618].end 11225.61846875
transcript.pyannote[1619].speaker SPEAKER_12
transcript.pyannote[1619].start 11226.00659375
transcript.pyannote[1619].end 11226.68159375
transcript.pyannote[1620].speaker SPEAKER_12
transcript.pyannote[1620].start 11227.32284375
transcript.pyannote[1620].end 11233.43159375
transcript.pyannote[1621].speaker SPEAKER_12
transcript.pyannote[1621].start 11234.12346875
transcript.pyannote[1621].end 11234.66346875
transcript.pyannote[1622].speaker SPEAKER_12
transcript.pyannote[1622].start 11235.20346875
transcript.pyannote[1622].end 11239.59096875
transcript.pyannote[1623].speaker SPEAKER_12
transcript.pyannote[1623].start 11240.68784375
transcript.pyannote[1623].end 11242.07159375
transcript.pyannote[1624].speaker SPEAKER_12
transcript.pyannote[1624].start 11242.61159375
transcript.pyannote[1624].end 11245.19346875
transcript.pyannote[1625].speaker SPEAKER_12
transcript.pyannote[1625].start 11245.76721875
transcript.pyannote[1625].end 11247.35346875
transcript.pyannote[1626].speaker SPEAKER_12
transcript.pyannote[1626].start 11248.02846875
transcript.pyannote[1626].end 11251.89284375
transcript.pyannote[1627].speaker SPEAKER_12
transcript.pyannote[1627].start 11252.23034375
transcript.pyannote[1627].end 11261.46096875
transcript.pyannote[1628].speaker SPEAKER_12
transcript.pyannote[1628].start 11261.95034375
transcript.pyannote[1628].end 11265.64596875
transcript.pyannote[1629].speaker SPEAKER_12
transcript.pyannote[1629].start 11266.32096875
transcript.pyannote[1629].end 11269.29096875
transcript.pyannote[1630].speaker SPEAKER_12
transcript.pyannote[1630].start 11270.37096875
transcript.pyannote[1630].end 11270.84346875
transcript.pyannote[1631].speaker SPEAKER_12
transcript.pyannote[1631].start 11271.36659375
transcript.pyannote[1631].end 11277.22221875
transcript.pyannote[1632].speaker SPEAKER_12
transcript.pyannote[1632].start 11277.69471875
transcript.pyannote[1632].end 11290.19909375
transcript.pyannote[1633].speaker SPEAKER_18
transcript.pyannote[1633].start 11291.27909375
transcript.pyannote[1633].end 11292.13971875
transcript.pyannote[1634].speaker SPEAKER_12
transcript.pyannote[1634].start 11293.38846875
transcript.pyannote[1634].end 11293.86096875
transcript.pyannote[1635].speaker SPEAKER_09
transcript.pyannote[1635].start 11298.51846875
transcript.pyannote[1635].end 11348.92409375
transcript.pyannote[1636].speaker SPEAKER_09
transcript.pyannote[1636].start 11349.16034375
transcript.pyannote[1636].end 11422.26284375
transcript.pyannote[1637].speaker SPEAKER_15
transcript.pyannote[1637].start 11423.07284375
transcript.pyannote[1637].end 11428.97909375
transcript.pyannote[1638].speaker SPEAKER_22
transcript.pyannote[1638].start 11429.89034375
transcript.pyannote[1638].end 11438.36159375
transcript.pyannote[1639].speaker SPEAKER_22
transcript.pyannote[1639].start 11438.74971875
transcript.pyannote[1639].end 11452.78971875
transcript.pyannote[1640].speaker SPEAKER_22
transcript.pyannote[1640].start 11452.84034375
transcript.pyannote[1640].end 11490.70784375
transcript.pyannote[1641].speaker SPEAKER_22
transcript.pyannote[1641].start 11490.72471875
transcript.pyannote[1641].end 11506.03034375
transcript.pyannote[1642].speaker SPEAKER_22
transcript.pyannote[1642].start 11506.48596875
transcript.pyannote[1642].end 11510.70471875
transcript.pyannote[1643].speaker SPEAKER_22
transcript.pyannote[1643].start 11511.59909375
transcript.pyannote[1643].end 11515.81784375
transcript.pyannote[1644].speaker SPEAKER_09
transcript.pyannote[1644].start 11514.56909375
transcript.pyannote[1644].end 11521.33596875
transcript.pyannote[1645].speaker SPEAKER_09
transcript.pyannote[1645].start 11522.06159375
transcript.pyannote[1645].end 11534.02596875
transcript.pyannote[1646].speaker SPEAKER_09
transcript.pyannote[1646].start 11538.44721875
transcript.pyannote[1646].end 11552.38596875
transcript.pyannote[1647].speaker SPEAKER_09
transcript.pyannote[1647].start 11553.63471875
transcript.pyannote[1647].end 11553.65159375
transcript.pyannote[1648].speaker SPEAKER_23
transcript.pyannote[1648].start 11553.65159375
transcript.pyannote[1648].end 11553.87096875
transcript.pyannote[1649].speaker SPEAKER_09
transcript.pyannote[1649].start 11553.87096875
transcript.pyannote[1649].end 11553.88784375
transcript.pyannote[1650].speaker SPEAKER_12
transcript.pyannote[1650].start 11565.75096875
transcript.pyannote[1650].end 11571.16784375
transcript.pyannote[1651].speaker SPEAKER_12
transcript.pyannote[1651].start 11572.06221875
transcript.pyannote[1651].end 11573.02409375
transcript.pyannote[1652].speaker SPEAKER_12
transcript.pyannote[1652].start 11573.05784375
transcript.pyannote[1652].end 11575.15034375
transcript.pyannote[1653].speaker SPEAKER_12
transcript.pyannote[1653].start 11575.97721875
transcript.pyannote[1653].end 11577.58034375
transcript.pyannote[1654].speaker SPEAKER_12
transcript.pyannote[1654].start 11577.59721875
transcript.pyannote[1654].end 11578.22159375
transcript.pyannote[1655].speaker SPEAKER_12
transcript.pyannote[1655].start 11578.71096875
transcript.pyannote[1655].end 11580.04409375
transcript.pyannote[1656].speaker SPEAKER_12
transcript.pyannote[1656].start 11580.70221875
transcript.pyannote[1656].end 11581.76534375
transcript.pyannote[1657].speaker SPEAKER_12
transcript.pyannote[1657].start 11581.98471875
transcript.pyannote[1657].end 11582.86221875
transcript.pyannote[1658].speaker SPEAKER_12
transcript.pyannote[1658].start 11583.30096875
transcript.pyannote[1658].end 11585.03909375
transcript.pyannote[1659].speaker SPEAKER_12
transcript.pyannote[1659].start 11585.54534375
transcript.pyannote[1659].end 11586.62534375
transcript.pyannote[1660].speaker SPEAKER_12
transcript.pyannote[1660].start 11587.24971875
transcript.pyannote[1660].end 11590.43909375
transcript.pyannote[1661].speaker SPEAKER_12
transcript.pyannote[1661].start 11591.13096875
transcript.pyannote[1661].end 11591.46846875
transcript.pyannote[1662].speaker SPEAKER_12
transcript.pyannote[1662].start 11592.49784375
transcript.pyannote[1662].end 11593.02096875
transcript.pyannote[1663].speaker SPEAKER_10
transcript.pyannote[1663].start 11594.33721875
transcript.pyannote[1663].end 11602.15034375
transcript.pyannote[1664].speaker SPEAKER_10
transcript.pyannote[1664].start 11602.72409375
transcript.pyannote[1664].end 11605.32284375
transcript.pyannote[1665].speaker SPEAKER_10
transcript.pyannote[1665].start 11606.08221875
transcript.pyannote[1665].end 11607.41534375
transcript.pyannote[1666].speaker SPEAKER_10
transcript.pyannote[1666].start 11607.88784375
transcript.pyannote[1666].end 11609.00159375
transcript.pyannote[1667].speaker SPEAKER_10
transcript.pyannote[1667].start 11609.76096875
transcript.pyannote[1667].end 11611.04346875
transcript.pyannote[1668].speaker SPEAKER_10
transcript.pyannote[1668].start 11611.29659375
transcript.pyannote[1668].end 11612.51159375
transcript.pyannote[1669].speaker SPEAKER_10
transcript.pyannote[1669].start 11612.69721875
transcript.pyannote[1669].end 11615.73471875
transcript.pyannote[1670].speaker SPEAKER_10
transcript.pyannote[1670].start 11616.03846875
transcript.pyannote[1670].end 11621.55659375
transcript.pyannote[1671].speaker SPEAKER_10
transcript.pyannote[1671].start 11622.24846875
transcript.pyannote[1671].end 11624.57721875
transcript.pyannote[1672].speaker SPEAKER_10
transcript.pyannote[1672].start 11624.76284375
transcript.pyannote[1672].end 11628.13784375
transcript.pyannote[1673].speaker SPEAKER_10
transcript.pyannote[1673].start 11628.86346875
transcript.pyannote[1673].end 11631.69846875
transcript.pyannote[1674].speaker SPEAKER_10
transcript.pyannote[1674].start 11632.47471875
transcript.pyannote[1674].end 11634.87096875
transcript.pyannote[1675].speaker SPEAKER_10
transcript.pyannote[1675].start 11635.24221875
transcript.pyannote[1675].end 11638.02659375
transcript.pyannote[1676].speaker SPEAKER_10
transcript.pyannote[1676].start 11638.46534375
transcript.pyannote[1676].end 11640.55784375
transcript.pyannote[1677].speaker SPEAKER_10
transcript.pyannote[1677].start 11640.92909375
transcript.pyannote[1677].end 11653.55159375
transcript.pyannote[1678].speaker SPEAKER_10
transcript.pyannote[1678].start 11653.85534375
transcript.pyannote[1678].end 11666.49471875
transcript.pyannote[1679].speaker SPEAKER_13
transcript.pyannote[1679].start 11656.90971875
transcript.pyannote[1679].end 11658.02346875
transcript.pyannote[1680].speaker SPEAKER_00
transcript.pyannote[1680].start 11658.02346875
transcript.pyannote[1680].end 11658.05721875
transcript.pyannote[1681].speaker SPEAKER_00
transcript.pyannote[1681].start 11658.25971875
transcript.pyannote[1681].end 11658.47909375
transcript.pyannote[1682].speaker SPEAKER_04
transcript.pyannote[1682].start 11658.47909375
transcript.pyannote[1682].end 11660.63909375
transcript.pyannote[1683].speaker SPEAKER_04
transcript.pyannote[1683].start 11666.39346875
transcript.pyannote[1683].end 11666.64659375
transcript.pyannote[1684].speaker SPEAKER_10
transcript.pyannote[1684].start 11666.64659375
transcript.pyannote[1684].end 11671.42221875
transcript.pyannote[1685].speaker SPEAKER_10
transcript.pyannote[1685].start 11671.81034375
transcript.pyannote[1685].end 11679.53909375
transcript.pyannote[1686].speaker SPEAKER_15
transcript.pyannote[1686].start 11679.62346875
transcript.pyannote[1686].end 11679.91034375
transcript.pyannote[1687].speaker SPEAKER_10
transcript.pyannote[1687].start 11679.91034375
transcript.pyannote[1687].end 11680.77096875
transcript.pyannote[1688].speaker SPEAKER_15
transcript.pyannote[1688].start 11680.77096875
transcript.pyannote[1688].end 11680.80471875
transcript.pyannote[1689].speaker SPEAKER_15
transcript.pyannote[1689].start 11680.97346875
transcript.pyannote[1689].end 11703.36659375
transcript.pyannote[1690].speaker SPEAKER_15
transcript.pyannote[1690].start 11703.77159375
transcript.pyannote[1690].end 11721.47346875
transcript.pyannote[1691].speaker SPEAKER_15
transcript.pyannote[1691].start 11721.76034375
transcript.pyannote[1691].end 11723.80221875
transcript.pyannote[1692].speaker SPEAKER_15
transcript.pyannote[1692].start 11724.08909375
transcript.pyannote[1692].end 11730.23159375
transcript.pyannote[1693].speaker SPEAKER_15
transcript.pyannote[1693].start 11732.29034375
transcript.pyannote[1693].end 11734.24784375
transcript.pyannote[1694].speaker SPEAKER_15
transcript.pyannote[1694].start 11735.58096875
transcript.pyannote[1694].end 11736.17159375
transcript.pyannote[1695].speaker SPEAKER_15
transcript.pyannote[1695].start 11737.33596875
transcript.pyannote[1695].end 11738.34846875
transcript.pyannote[1696].speaker SPEAKER_10
transcript.pyannote[1696].start 11741.63909375
transcript.pyannote[1696].end 11766.63096875
transcript.pyannote[1697].speaker SPEAKER_15
transcript.pyannote[1697].start 11744.60909375
transcript.pyannote[1697].end 11745.09846875
transcript.pyannote[1698].speaker SPEAKER_19
transcript.pyannote[1698].start 11758.49721875
transcript.pyannote[1698].end 11759.00346875
transcript.pyannote[1699].speaker SPEAKER_10
transcript.pyannote[1699].start 11766.81659375
transcript.pyannote[1699].end 11768.08221875
transcript.pyannote[1700].speaker SPEAKER_15
transcript.pyannote[1700].start 11768.08221875
transcript.pyannote[1700].end 11771.50784375
transcript.pyannote[1701].speaker SPEAKER_10
transcript.pyannote[1701].start 11768.23409375
transcript.pyannote[1701].end 11769.88784375
transcript.pyannote[1702].speaker SPEAKER_10
transcript.pyannote[1702].start 11770.78221875
transcript.pyannote[1702].end 11773.02659375
transcript.pyannote[1703].speaker SPEAKER_15
transcript.pyannote[1703].start 11772.90846875
transcript.pyannote[1703].end 11776.41846875
transcript.pyannote[1704].speaker SPEAKER_09
transcript.pyannote[1704].start 11773.02659375
transcript.pyannote[1704].end 11773.68471875
transcript.pyannote[1705].speaker SPEAKER_09
transcript.pyannote[1705].start 11774.88284375
transcript.pyannote[1705].end 11783.06721875
transcript.pyannote[1706].speaker SPEAKER_18
transcript.pyannote[1706].start 11782.96596875
transcript.pyannote[1706].end 11783.25284375
transcript.pyannote[1707].speaker SPEAKER_09
transcript.pyannote[1707].start 11783.25284375
transcript.pyannote[1707].end 11808.09284375
transcript.pyannote[1708].speaker SPEAKER_00
transcript.pyannote[1708].start 11804.21159375
transcript.pyannote[1708].end 11804.24534375
transcript.pyannote[1709].speaker SPEAKER_06
transcript.pyannote[1709].start 11804.24534375
transcript.pyannote[1709].end 11804.66721875
transcript.pyannote[1710].speaker SPEAKER_00
transcript.pyannote[1710].start 11804.66721875
transcript.pyannote[1710].end 11804.68409375
transcript.pyannote[1711].speaker SPEAKER_09
transcript.pyannote[1711].start 11808.46409375
transcript.pyannote[1711].end 11811.65346875
transcript.pyannote[1712].speaker SPEAKER_00
transcript.pyannote[1712].start 11808.66659375
transcript.pyannote[1712].end 11808.68346875
transcript.pyannote[1713].speaker SPEAKER_18
transcript.pyannote[1713].start 11808.68346875
transcript.pyannote[1713].end 11810.06721875
transcript.pyannote[1714].speaker SPEAKER_00
transcript.pyannote[1714].start 11810.06721875
transcript.pyannote[1714].end 11810.08409375
transcript.pyannote[1715].speaker SPEAKER_18
transcript.pyannote[1715].start 11810.55659375
transcript.pyannote[1715].end 11810.86034375
transcript.pyannote[1716].speaker SPEAKER_09
transcript.pyannote[1716].start 11812.10909375
transcript.pyannote[1716].end 11820.42846875
transcript.pyannote[1717].speaker SPEAKER_15
transcript.pyannote[1717].start 11820.46221875
transcript.pyannote[1717].end 11847.90096875
transcript.pyannote[1718].speaker SPEAKER_15
transcript.pyannote[1718].start 11848.42409375
transcript.pyannote[1718].end 11852.92971875
transcript.pyannote[1719].speaker SPEAKER_15
transcript.pyannote[1719].start 11986.88346875
transcript.pyannote[1719].end 11987.45721875
transcript.pyannote[1720].speaker SPEAKER_15
transcript.pyannote[1720].start 11987.77784375
transcript.pyannote[1720].end 11991.13596875
transcript.pyannote[1721].speaker SPEAKER_15
transcript.pyannote[1721].start 11991.86159375
transcript.pyannote[1721].end 12016.22909375
transcript.pyannote[1722].speaker SPEAKER_15
transcript.pyannote[1722].start 12016.46534375
transcript.pyannote[1722].end 12017.41034375
transcript.pyannote[1723].speaker SPEAKER_15
transcript.pyannote[1723].start 12017.71409375
transcript.pyannote[1723].end 12019.08096875
transcript.pyannote[1724].speaker SPEAKER_15
transcript.pyannote[1724].start 12019.30034375
transcript.pyannote[1724].end 12019.70534375
transcript.pyannote[1725].speaker SPEAKER_15
transcript.pyannote[1725].start 12020.54909375
transcript.pyannote[1725].end 12023.80596875
transcript.pyannote[1726].speaker SPEAKER_15
transcript.pyannote[1726].start 12024.88596875
transcript.pyannote[1726].end 12025.39221875
transcript.pyannote[1727].speaker SPEAKER_15
transcript.pyannote[1727].start 12025.49346875
transcript.pyannote[1727].end 12031.50096875
transcript.whisperx[0].start 132.568
transcript.whisperx[0].end 133.313
transcript.whisperx[0].text MING PAO CANADA MING PAO TORONTO
transcript.whisperx[1].start 695.93
transcript.whisperx[1].end 696.595
transcript.whisperx[1].text Zither Harp
transcript.whisperx[2].start 2159.281
transcript.whisperx[2].end 2168.617
transcript.whisperx[2].text 大家早安不好意思請主任秘書報告出席人數報告聯席會出席委員16人已足法定人數好那我們現在開會進行討論事項請宣讀
transcript.whisperx[3].start 2171.826
transcript.whisperx[3].end 2197.198
transcript.whisperx[3].text 继续审查委员赖世宝等20人拟据地方制度法第7条之1条文修正草案继续审查委员陈玉珍等18人拟据地方制度法增订第7条之4条文草案继续审查委员吴丽华等17人拟据地方制度法第83条之3条文修正草案继续审查委员吴丽华等16人拟据地方制度法第52条及第61条条文修正草案继续审查委员陈玉珍等18人拟据地方制度法第56条条文修正草案
transcript.whisperx[4].start 2197.578
transcript.whisperx[4].end 2223.654
transcript.whisperx[4].text 继续审查委员李坤诚等20人拟据地方制度法第78条条文修正草案继续审查委员李燕秀等16人拟据地方制度法第55条及第56条条文修正草案继续审查委员高金苏美等18人拟据地方制度法第83条至3条文修正草案继续审查委员鲁明哲等16人拟据地方制度法第7条至1条文修正草案继续审查委员徐晓欣等21人拟据地方制度法第55条条文修正草案
transcript.whisperx[5].start 2224.014
transcript.whisperx[5].end 2247.297
transcript.whisperx[5].text 继续审查委员卢宪英等18人拟据地方制度法部分条文修正草案审查委员邱振军等16人拟据地方制度法第55条及第56条条文修正草案审查委员苏清泉等19人委员黄杰等18人委员范云等24人委员徐富鬼等17人委员许志杰等26人分别拟据地方制度法第33条条文修正草案宣读完毕
transcript.whisperx[6].start 2249.314
transcript.whisperx[6].end 2275.054
transcript.whisperx[6].text 好 謝謝本市審查之法案 業經本會於114年1月13日第11屆第二會期第一次內政及司法委員會聯席會議報告及詢答結束並決議另定期繼續審查原始本市會議繼續進行審查現在進介紹在場委員及列席官員委員部分 張志倫委員羅志祥委員我們張宏祿委員王美惠委員
transcript.whisperx[7].start 2279.637
transcript.whisperx[7].end 2302.607
transcript.whisperx[7].text 蘇巧慧委員黃捷委員我們范雲委員還有我們盧憲毅委員官員部分我們內政部劉思芳部長原住民族委員會鍾清華副主任委員財政部阮清華政務次長這樣可以嗎?對不對?在哪裡?我每次都把他放在後面
transcript.whisperx[8].start 2304.468
transcript.whisperx[8].end 2314.43
transcript.whisperx[8].text 好那我們就本日議程因為有這個委員陸陸續續提案新增審查之法案我們請提案委員說明提案要旨首先我們請范雲委員進行提案說明
transcript.whisperx[9].start 2324.152
transcript.whisperx[9].end 2346.168
transcript.whisperx[9].text 朝偉跟大家好我想我的提案主要是希望能夠在過去的四分之一的婦女保障名額調整為三分之一然後是任一性別那有幾個原因第一個這個條款已經25年沒有修法那過去這個不足四分之一的保障已經失效地方制度法上次
transcript.whisperx[10].start 2346.308
transcript.whisperx[10].end 2367.598
transcript.whisperx[10].text 修法是1999年規定地方民意代表選舉選區裡面每四個人當選人必須有一名是女性那根據台大黃長林教授的研究這個保障已經失效那為什麼因為第一個它表面上是四分之一實質上是七分之一到四分之一因為五到七人的選區只有保障一人
transcript.whisperx[11].start 2368.258
transcript.whisperx[11].end 2389.689
transcript.whisperx[11].text 以2022年的選舉為例有22%超過五分之一的議員選區沒有任何一個女性議員當選甚至有些地區連女性的參選人都沒有而且這種保障方式它存在著城鄉差距應當選三人以下的小選區毫無保障
transcript.whisperx[12].start 2390.949
transcript.whisperx[12].end 2419.478
transcript.whisperx[12].text 2022年我們看到全國鄉鎮市區民代表會中有47%接近一半的選區完全沒有女性當選那有40%的選區到現在完全沒有女性參選人等於是零女性選區有四個選區更是從2010年到現在從來沒有女性當選過那包含宜蘭大同屏東琉球屏東車城金門烏丘那這是第一個重點25年這個部分沒有修
transcript.whisperx[13].start 2419.918
transcript.whisperx[13].end 2444.98
transcript.whisperx[13].text 第二個是這次其實是一個進步的調整把過去的婦女黨當選名額只保障女性改成任意性別不得低於三分之一我想如果某些選區只有女性參選的話其實男性也應該要被保障所以這個條款可以促進選舉結果的性別平衡跟多元那第三其實SEDO國際的SEDO就是已經講到50%
transcript.whisperx[14].start 2447.142
transcript.whisperx[14].end 2462.38
transcript.whisperx[14].text 那过去行政院跟内政部从2011年到2024年十多年来举办多场的检讨会会议的记录都有共识说应该要修成三分之一性别比例原则那2022年我们台湾第四次的
transcript.whisperx[15].start 2462.78
transcript.whisperx[15].end 2480.287
transcript.whisperx[15].text CEDAW國家報告國際的審查委員也建議我國政府應該加強保障婦女參政權並給出具體的措施提高保障名額設立招聘跟晉升的優先條款我想我們這次修法至少希望能夠得到跨黨派的共識我們這邊除了我之外黃婕委員也有提案希望能夠改成
transcript.whisperx[16].start 2490.372
transcript.whisperx[16].end 2503.112
transcript.whisperx[16].text 跟世界的趨勢也跟台灣的就是不同性別的參政實力相當的三分之一性別保障以上謝謝范瑩委員的提案說明接下來我們請黃婕委員進行提案說明
transcript.whisperx[17].start 2513.544
transcript.whisperx[17].end 2527.74
transcript.whisperx[17].text 好 主席各位同仁大家早安在我的地方制度法的修法當中也是強調性別應該要不低於三分之一因為大家也知道說台灣在性別平權的道路上一直都非常努力向前那也獲得國際的肯定
transcript.whisperx[18].start 2530.683
transcript.whisperx[18].end 2547.642
transcript.whisperx[18].text 然後在消除對婦女一切形式歧視公園裡面也明確有指出說女性參與政治和公共生活的比例應該至少達到三成到三成五以上這也是一個國際趨勢那我國的憲法裡面更是明定應該要保障婦女的名額
transcript.whisperx[19].start 2548.303
transcript.whisperx[19].end 2559.76
transcript.whisperx[19].text 可是現行的地方制度法在1999年設立了四分之一婦女保障名額之後雖然很明確的有看到說提升女性參政的意願有正面的影響但是到目前為止已經過了二十幾年我們發現還是不夠的
transcript.whisperx[20].start 2563.866
transcript.whisperx[20].end 2582.412
transcript.whisperx[20].text 應該要再往前走所以尤其是在這種地方政治參與的場域當中我們認為應該要更進步因為在地方的民意代表裡面僅適用當選名額超過四人的選區導致說很多當選名額如果是三人以下的小選區性別保障的制度就沒有辦法發揮作用
transcript.whisperx[21].start 2584.052
transcript.whisperx[21].end 2589.538
transcript.whisperx[21].text 以2022年地方選舉的數據來說全國有681個鄉鎮市民代表的選區當中有多達318個選區完全沒有女性當選比例是47%近五成近五成的選區裡面完全沒有女性當選這代表什麼
transcript.whisperx[22].start 2603.812
transcript.whisperx[22].end 2623.429
transcript.whisperx[22].text 这代表说在基层的政治当中女性的声音和参与还是面临结构性的障碍甚至是刚刚其实范委员也提到说有四成的选区是完全没有女性参选过的所以我们认为地方制度法还有在修正的空间所以我在33条里面提到两个
transcript.whisperx[23].start 2623.849
transcript.whisperx[23].end 2641.517
transcript.whisperx[23].text 一個是要擴大保障的範圍落實基層的參與包括說選區當選人數如果達三人以上那任意性別不得低於三分之一這其實不只是保障女性也同時保障男性也就是說在一個選區當中男性跟女性參與的機會是平等的
transcript.whisperx[24].start 2642.097
transcript.whisperx[24].end 2664.236
transcript.whisperx[24].text 第二個保障多元的觀點提升決策的品質這樣的修正可以強化對於女性參政權的保障更多元更均衡的代議結構可以讓政府的施政更充分的參與不同群體的觀點來提升公共政策的品質跟周延性所以也希望所有的委員可以不分黨派的一起支持這一個提案謝謝好謝謝黃婕委員
transcript.whisperx[25].start 2670.848
transcript.whisperx[25].end 2695.451
transcript.whisperx[25].text 那因為今天有新增條文所以我們各個機關還有在準備新的書面報告好那我們就請各位委員自行參閱我們並且刊登公報你要代表是誰代 蛤喔好可以可以可以對因為它是上次新增的版本沒關係我們在逐條的時候都可以發言好不好我們那時候再來做補充就好好謝謝
transcript.whisperx[26].start 2697.284
transcript.whisperx[26].end 2706.678
transcript.whisperx[26].text 好那麼報告聯席會現在要宣讀新增提案討論事項第12至17案之條文以及相關修正動議請一併宣讀
transcript.whisperx[27].start 2710.031
transcript.whisperx[27].end 2728.4
transcript.whisperx[27].text 第33條委員蘇清泉等19人提案第二項第三款第一幕前段修正為鄉鎮市人口在1000人以下者不得超過5人人口在1萬人以下者每減少1000人遞減1人至7人為止其餘同線性條文委員黃婕等18人提案委員范雲等24人提案
transcript.whisperx[28].start 2728.84
transcript.whisperx[28].end 2749.787
transcript.whisperx[28].text 第五项修正为各选举区选出之直辖市议员县市议员乡镇市民代表名额达三人者每三人任意性别不低于三分之一比例第六项修正为直辖市县市选出之山地园住民平地园住民名额达三人者每三人任意性别不得低于三分之一比例乡镇市选出之平地园住民名额达三人者
transcript.whisperx[29].start 2750.367
transcript.whisperx[29].end 2765.64
transcript.whisperx[29].text 每三人任意性别不得低于三分之一比例其余同现行条文委员徐富贵等17人提案第二项第三款第一幕前段修正为乡镇市人口在1000人以下者不得超过5人人口在7000人以下者不得超过7人其余同现行条文
transcript.whisperx[30].start 2766.721
transcript.whisperx[30].end 2792.652
transcript.whisperx[30].text 委员许志杰等26人提案第五项修正为各选举区选出之直辖市议员县市议员乡镇市民代表名额达四人者应设性别比例当选名额各选举区当选之结果含性别比例当选名额需符合单一性别不低于四分之一之比例第六项修正为直辖市及有山地乡之县市选出之山地原住民平地原住民名额在四人以上者应有妇女当选名额超过四人者每增加四人增一人
transcript.whisperx[31].start 2793.192
transcript.whisperx[31].end 2819.511
transcript.whisperx[31].text 市及无山地乡之县选出之原住民名额在四人以上者应设性别比例当选名额各选举区当选之结果含性别比例当选名额需符合单一性别不低于四分之一之比例山地乡以外之乡镇市选出之平地原住民名额在四人以上者应设性别比例当选名额各选举区当选之结果含性别比例当选名额需符合单一性别不低于四分之一之比例其余同现行条文
transcript.whisperx[32].start 2820.251
transcript.whisperx[32].end 2839.99
transcript.whisperx[32].text 第55条委员邱振军等16人提案将第一项中段至副市长二人修正为至副市长三人并删除人口在250万人以下之指辖是得增至副市长一人等文字其余同现行条文第56条委员邱振军等16人提案第一项后段修正为人口在125万人以上或
transcript.whisperx[33].start 2843.01
transcript.whisperx[33].end 2853.744
transcript.whisperx[33].text 行政區域面積超過1000平方公里之縣市德曾智副縣市長一人均由縣市長任命並報請內政部被查其餘同現行條文修正動議第33條
transcript.whisperx[34].start 2857.523
transcript.whisperx[34].end 2882.994
transcript.whisperx[34].text 第五项修正为各选举区选出之直辖市议员县市议员乡镇市民代表名额在三人以上者应有任意性别当选名额一人超过三人者每增加三人增一人第六项修正为直辖市县市选出之山地原住民平地原住民名额在三人以上者应有任意性别当选名额一人超过三人者每增加三人增一人乡镇市选出之平地原住民名额在三人以上者
transcript.whisperx[35].start 2883.374
transcript.whisperx[35].end 2908.992
transcript.whisperx[35].text 已有任意性别当选名额一人超过三人者每增加三人增一人增订第七项中华民国全年全月全日修正之前二项条文自中华民国一百十九年十二月就职之直辖市议员县市议员乡镇市民代表适用之原第七项一列为第八项其余同现行条文提案人文黄杰等五人宣读完毕
transcript.whisperx[36].start 2912.222
transcript.whisperx[36].end 2913.824
transcript.whisperx[36].text 好 謝謝那我們現在就進行豬條協商
transcript.whisperx[37].start 3182.262
transcript.whisperx[37].end 3203.379
transcript.whisperx[37].text 我們先請我們劉仕芳部長針對這段時間新增的提案做一下內政部的態度的說明來 謝謝昭緯有關於今天所新增的地方製度法的部分大概就是落在55條 56條跟33條的部分有關於邱振軍委員所提到的直轄市政府副市長人數統一規定為三人
transcript.whisperx[38].start 3204.139
transcript.whisperx[38].end 3218.415
transcript.whisperx[38].text 那這個部分我們覺得說目前為止地方上沒有真正的反應有急迫爭執的需求是否一律爭執的話仍然需要凝聚共識因為在邱振軍委員同樣的這個跟55 56相關的部分他有提到說
transcript.whisperx[39].start 3219.416
transcript.whisperx[39].end 3241.07
transcript.whisperx[39].text 如果土地面積超過1000平方公里的縣市的話可以增置第二位副市長或副縣長那現在有10個縣市得設置第二位副縣長我們也覺得說有進一步討論的空間但是呢還是一樣需要你去共識那這個部分可能在增加方面的地方政府的並不是很急迫的反映這樣子的增置的需求
transcript.whisperx[40].start 3241.67
transcript.whisperx[40].end 3261.511
transcript.whisperx[40].text 那再來有關蘇清泉委員所提到19人蘇清泉委員等19人提案的部分就是人口1萬人以下的鄉鎮市民代表總額減緩的規定會使人口差距比較明顯的鄉鎮市選出相同代表的席次它的合理性跟公平性不一臆
transcript.whisperx[41].start 3262.552
transcript.whisperx[41].end 3289.929
transcript.whisperx[41].text 包括徐富奎委員所提到的鄉鎮市民代表的席次不得超過7席的人口數有1萬人修正為7千人那這個部分恐怕我們執行上會碰到一些矛盾因為實務上現在已經有9個代表會按照現行的規定減少席次那如果再把它降低為7千人的話等於是說以往的這個9個代表會的席次還要再增置回來這個是比較奇特
transcript.whisperx[42].start 3290.689
transcript.whisperx[42].end 3319.546
transcript.whisperx[42].text 那再來就是有關黃婕委員、范玉委員所許智傑委員所提到的這個地方民意代表婦女保障名額調整為任一性別名額我們認為這是一個進步性的法案但是也有待各政黨的共識那這樣子的方式呢在促進性別平等方面是有助於我們在民主政治上的體現尤其是以多席次的這個縣市議會或者是鄉鎮市代表會為主所以建議這個任一性別當選名額是改成
transcript.whisperx[43].start 3320.146
transcript.whisperx[43].end 3323.314
transcript.whisperx[43].text 每達三人應有一人進行修正以上好 謝謝
transcript.whisperx[44].start 3330.078
transcript.whisperx[44].end 3353.769
transcript.whisperx[44].text 因為它是逐條協商我們還是逐條跑一跑因為這個法案上一次就講說另外定期處理那我覺得多花一點時間做討論是有必要的因為其實這個加上新進來的提案版本它其實版本的數量是很多而且面向其實是不太一樣大家關注的地方不太一樣所以我們還是今天逐條逐條大家針對不同的意見跑一次看看有沒有一些想法
transcript.whisperx[45].start 3354.488
transcript.whisperx[45].end 3371.38
transcript.whisperx[45].text 那我覺得我們今天因為我有看那個出席委員還有提案委員的這個狀況嘛我們就還是先以今天有出席的委員為主所以第七條之一齁我們賴思柏委員跟盧明哲委員提案版本這個升格改制這一個部分我們國民黨會有要代表說明的嗎
transcript.whisperx[46].start 3375.49
transcript.whisperx[46].end 3388.442
transcript.whisperx[46].text 對沒關係因為這是上次不予處理嘛那不在嘛但我的意思是我會多排幾次這樣子的會讓每一個有提案的委員都盡量可以達成那個但是你如果都不來那我當然就沒有辦法我就不處理好不好我主持的原則會是這樣喔 對不起我是要說喔
transcript.whisperx[47].start 3392.998
transcript.whisperx[47].end 3407.921
transcript.whisperx[47].text 我覺得這樣也很浪費時間不是啦,你既然你提案之後你之前沒來講,然後沒在庭又沒講,就在庭放棄了你現在今天又要在庭再講,我覺得是有多尊重主席啦我覺得你如果這樣,你就是沒你都在庭坐在這裡的人大半天在這裡浪費時間
transcript.whisperx[48].start 3421.294
transcript.whisperx[48].end 3446.008
transcript.whisperx[48].text 不會 所以我的處理模式一向是我處理的模式一向是這樣 我會徵詢 因為各政黨 這政黨徵詢本來就是這樣 大家可以分工的如果有委託相關的委員來做說明 來做討論 那我們就討論如果沒有 那我們就不處理其實這樣是很清楚的 我覺得也比較平衡啦 好不好所以第七條的部分有沒有特別委託 沒有的話我們就今天也是不處理 可以嗎
transcript.whisperx[49].start 3455.319
transcript.whisperx[49].end 3479.89
transcript.whisperx[49].text 如果下一次我們除非今天就已經把法案都做出結論要送出委員會了要不然原則上我都還是會讓大家有機會去發言好不好讓他完整OK這個我認為在每一個法案裡面充分溝通本來就是工作我們都希望可以充分的我希望盡量保障大家不同意見的這不管是對於哪一個政黨的標準一致我覺得就可以了OK
transcript.whisperx[50].start 3483.933
transcript.whisperx[50].end 3485.174
transcript.whisperx[50].text 好 7條之4 有補充說明嗎沒有齁 OK 那我們不處理來 33條剛剛這個部長有做說明嘛
transcript.whisperx[51].start 3507.281
transcript.whisperx[51].end 3530.555
transcript.whisperx[51].text 然後還有33條也是所有的那個性別保障名額嘛對不對好我們這邊33條來做一下討論來請黃教委員好那因為我原本的提案是說任意性別不達三分之一以上就要有保障名額然後因為其實剛剛我們有跟內政部討論過所以我有提一個修正動議應該大家手上都有可以看一下
transcript.whisperx[52].start 3531.315
transcript.whisperx[52].end 3556.652
transcript.whisperx[52].text 我们修正动意是改成说在三人以上有任一性别当选民而一人超过三人者每增加三人增一人所以大家可以看一下文字这个会再更就是变动不会这么大一点点这样子大家可以看一下手上的这个文字那也敬请大家可以支持今天就可以送出是最好
transcript.whisperx[53].start 3560.446
transcript.whisperx[53].end 3560.466
transcript.whisperx[53].text 請蘇曉輝委員
transcript.whisperx[54].start 3564.656
transcript.whisperx[54].end 3590.963
transcript.whisperx[54].text 好 謝謝主席我這裡想要表示的應該是說我們其實有好幾位委員提出了版本主要是原來的的話是蘇清泉委員還有徐富奎委員大概都是屏東的委員但我覺得他們發現問題然後提出版本我們都表示尊重但我想請部會回答我們說就兩位委員提案的版本對於現在的鄉鎮市民代表會
transcript.whisperx[55].start 3591.843
transcript.whisperx[55].end 3609.315
transcript.whisperx[55].text 他的影響到底是什麼哪些地區會有名額的增減那這樣來修法是不是妥適那另外對於剛剛這個黃婕委員還有范瑀委員提出的這個女性名額的這個部分呢其實我們是共提我有共提我們是表示支持也希望部會表示意見謝謝
transcript.whisperx[56].start 3610.712
transcript.whisperx[56].end 3639.808
transcript.whisperx[56].text 好 謝謝 部長剛剛 部長我們剛剛那個蘇小月委員問說因為兩位屏東的委員提出來有關於鄉鎮市民代表名額修正的部分大概對於具體的員額上哪些鄉鎮市代表會員額受到影響分別是什麼 可不可以請他再做一下補充說明我可以再對 對 對沒有 我覺得如果有委員願意關心這樣子我認為都都是可以接受的當然可以啊
transcript.whisperx[57].start 3642.572
transcript.whisperx[57].end 3667.886
transcript.whisperx[57].text 好啊那沒關係那我們就先就我們就先不用討論這個部分好了我們先聚焦在這個委員都出席的黃婕委員提出的這個修正動議的部分好了張文昭有要補充嗎我只有一個就這個修正動議沒有什麼特別意見可是我想請問一下他這邊裡面有寫超過三人者每增加三人增一人但
transcript.whisperx[58].start 3670.086
transcript.whisperx[58].end 3696.679
transcript.whisperx[58].text 如果啊齁比如說他有六個是不是變成兩個對不對那會不會跟我們現行的四分之一的保障會不會有衝突你三個三個三個九個他也是三個但如果現在以現行的條款八個是兩個我只是要請教一下這個我們立法可能這邊要注意一下
transcript.whisperx[59].start 3698.564
transcript.whisperx[59].end 3728.031
transcript.whisperx[59].text 對啊 啊他如果九個的話就變三個都不會有衝突喔對議員對什麼這個 嘿主席但是用比例三分之一的話我舉一個例子比如說四個人四個人的三分之一是1.33他就變成要保障兩個就變成不合理如果是每三人保障三個是保障一位
transcript.whisperx[60].start 3728.581
transcript.whisperx[60].end 3750.049
transcript.whisperx[60].text 再加三個再保障一位這樣邏輯是清楚的那我也幫忙說明一下喔不知道那個黃捷委員的修正是每達三人者嗎就是因為他現在的版本是有三人以上者我建議文字跟原本的現狀的條文是
transcript.whisperx[61].start 3751.67
transcript.whisperx[61].end 3775.416
transcript.whisperx[61].text 名額達四人者應有就是後面都就是剛剛講單一性別那那個張宏路委員的我們解釋一下這就是為什麼我剛剛講的就是其實我們現在所謂的四分之一婦女保障實質上是七分之一到四分之一那如果現在黃婕委員的這個修正動議通過的話就會是三分之一到五分之一那這個部分這樣解釋應該沒錯吧
transcript.whisperx[62].start 3776.796
transcript.whisperx[62].end 3794.13
transcript.whisperx[62].text 所以現在就是說每四人會有一人八人會有兩人那以後就是每三人會有一人六人會有兩人那等於就是增強保障那它的優點是任意性別都有保障到如果現在就是三個都是女的未來就會應該是兩個女的一個男的
transcript.whisperx[63].start 3794.73
transcript.whisperx[63].end 3820.94
transcript.whisperx[63].text 那我想那這部分影響的比較小的就是一些比較會影響的是小選區啦那大選區的話可能就是在人數比較多的部分會增加看是哪一個性別是弱勢目前譬如說從來沒有女性當選的有宜蘭大同屏東琉球屏東車城金門烏丘那是我們在這邊2010年到現在從來都沒有女性當選過這樣請李柏宜委員然後汪玲蕙委員
transcript.whisperx[64].start 3822.941
transcript.whisperx[64].end 3845.32
transcript.whisperx[64].text 其實我們這個方向上對於剛剛其實有講到其實這是性別保障而不是婦女保障強調一下為什麼我一定要強調是性別保障而不是婦女保障因為在我的選區裡面九個議員的席次裡面你知道女性是超過六個
transcript.whisperx[65].start 3846.844
transcript.whisperx[65].end 3875.046
transcript.whisperx[65].text 即將被保障的是男性高雄市左營跟男子所以說這個但是會有問題的是我還是具體的提出來一下經過我們這個修法的討論之後我覺得這個實施的日期也要讓所有可能現任以及現在其實已經明年就面對地方選舉了
transcript.whisperx[66].start 3876.209
transcript.whisperx[66].end 3884.734
transcript.whisperx[66].text 那所以實施的日期我會建議說我們可以再修正往下一屆去調整讓所有選區都有來得及去處理這個問題以上提出 謝謝
transcript.whisperx[67].start 3891.345
transcript.whisperx[67].end 3897.467
transcript.whisperx[67].text 現在是原住民有五個女性的一員三名男性的一員按照這樣的比例的話應該是男生要再多一席現在是5比3
transcript.whisperx[68].start 3915.131
transcript.whisperx[68].end 3928.968
transcript.whisperx[68].text 所以可是在現行的法律是要保障女性的那個參政權所以等於是那個男生是沒有辦法選的在平北的那個原住民地區所以這個部分是不是一起考慮副主委應該知道謝謝
transcript.whisperx[69].start 3933.823
transcript.whisperx[69].end 3950.269
transcript.whisperx[69].text 主席謝謝,在這就是說,我們說這麼簡單就是說現在沒有保障任何女性啦就是你那個選舉的單位,你如果三個當選都是女性你就一定要有一個男性啦現在不是說有男性去受這個罰
transcript.whisperx[70].start 3962.877
transcript.whisperx[70].end 3985.626
transcript.whisperx[70].text 這樣是不是這個問題要公佈全數因為以前都希望說女性出頭體嘛跟都補充女性你有四個就一定要有一個女性啊跟現在是你如果有三個就是要更看那個性別是沒有的就是要有一個補充那個性別是不是這樣 議長
transcript.whisperx[71].start 3988.567
transcript.whisperx[71].end 4009.9
transcript.whisperx[71].text 我稍微重整一下大家的意見就是說第一個現在按照現在的條文修正精神基本上就是盡量要達到性別之間的平衡所以有可能女性多的地方未來會有男性保障其實就是這樣男性多的地方就有女性保障我們部裡面我請教一下內政部部長部裡面有沒有統計一下這樣子跟現行狀況落差比較大的選區有哪些
transcript.whisperx[72].start 4010.942
transcript.whisperx[72].end 4034.387
transcript.whisperx[72].text 是不是把資料補充給大家那當然剛剛李博弈委員這概念我是蠻贊成的就是說要有所謂的日出條款因為這個一定牽涉到我們都講這個大白話嘛這個一定牽涉到各政黨在下一次的地方選舉的布局嘛因為選舉要找人才嘛那你到底要不要性別考量它就是一個門檻或是一個戰術的考量所以你必須要做這樣的事情的所以說有日出條款的部分
transcript.whisperx[73].start 4034.947
transcript.whisperx[73].end 4056.034
transcript.whisperx[73].text 那在內政部提供資料的同時我也請在場的委員因為現在我們黃酒委員這邊有提修正動議嘛那現在因為33條也蠻多人提案版本都不太一樣那是不是先收束成一個版本好不好這個看一下你們大家看一下彼此之間的版本是要以這份修正動議為主還是怎麼樣那一邊文字上哪一邊做調整是不是我們花一點點時間來做討論以上
transcript.whisperx[74].start 4059.104
transcript.whisperx[74].end 4064.095
transcript.whisperx[74].text 就以黃捷的修正版本看內政部有什麼意見可以啊沒關係你們商量好就好好請部長
transcript.whisperx[75].start 4067.633
transcript.whisperx[75].end 4092.142
transcript.whisperx[75].text 谢谢赵伟那个黄杰等六位委员的那个提案里面有一个小的部分就是说是不是民国119年在试用但是我们可不可以把它写成民国119年12月25日因为在25日就职之前万一譬如说有些当选的委员议员有些什么状况的话那他会出现那个性别上面的差距
transcript.whisperx[76].start 4099.17
transcript.whisperx[76].end 4114.661
transcript.whisperx[76].text 加上25日這是一個其他有在問縣市議會或者是鄉鎮市代表裡面的這些目前為止沒有辦法達到我們要修正內容的部分我請我們的民政司長跟大家做一下簡單的報告
transcript.whisperx[77].start 4124.744
transcript.whisperx[77].end 4147.912
transcript.whisperx[77].text 那個我剛剛有收到訊息那個法治局有給我們的意見立法院法治局你那個日出條款的部分應該放在這個條文的最後面要放在最後面他有講他因為跟45條的某一些法律條文有抵觸這是立法技術的問題好不好大家商量一下那需要寫這個嗎對啊就是把這一項嘛第一個把內政部加進來這是25號嘛對不對這大家應該沒有問題對不對第二我們把這個順序往後放
transcript.whisperx[78].start 4154.747
transcript.whisperx[78].end 4166.488
transcript.whisperx[78].text 來可以的話我們就key在上面可以嗎好我剛剛有問說哪一些選區會有比較大的影響請民政司說明一下
transcript.whisperx[79].start 4167.596
transcript.whisperx[79].end 4186.392
transcript.whisperx[79].text 如果依照現在改為三公選一人的話台北市會有18位的保障名額新北市會19位桃園16位台中16位台南15位高雄市17位宜蘭6位新竹縣8位
transcript.whisperx[80].start 4188.314
transcript.whisperx[80].end 4214.349
transcript.whisperx[80].text 苗栗縣10位、彰化縣14位、南投縣9位雲林縣13位、嘉義縣10位、屏東縣15位台東縣6位、花林縣10位、澎湖縣4位、金門縣5位延江縣1位、基隆市8位、新竹市有8位嘉義市有7位,是保障名額的人數
transcript.whisperx[81].start 4218.649
transcript.whisperx[81].end 4235.29
transcript.whisperx[81].text 您剛講的是縣市議會的部分嗎 直轄市議會跟縣市議會對啦 我要問的是 對 這一點我是同意 崑禎委員講跟縣況的差別 因為剛剛我們可以憑印象舉例嘛比如說哪一些選區女生特別多的 哪一些選區都只有男生沒有女生的
transcript.whisperx[82].start 4236.011
transcript.whisperx[82].end 4261.451
transcript.whisperx[82].text 因為我在日經跟新北比起來的話其實新北現狀是比這一個保障更多啦對啊可是鄉鎮市民代表應該有差啦沒關係 再補充一下好 那范議員剛剛我有講到就是它影響比較大的應該會是那個鄉鎮市區的民代會啦因為從2022年選舉的資料有47%幾乎一半的完全沒有女性當選就零女性當選區
transcript.whisperx[83].start 4262.532
transcript.whisperx[83].end 4280.843
transcript.whisperx[83].text 那有40%的鄉鎮市區民代會完全沒有女性參選人 零女性參選所以影響比較大的應該就是鄉鎮市區民代會那個部分影響是最大的剛剛市長這樣報告其實也不準因為
transcript.whisperx[84].start 4285.305
transcript.whisperx[84].end 4307.655
transcript.whisperx[84].text 因為為什麼要我們為什麼要提出日出條款就是說他還是要有時間準備嘛這跟政黨的提名跟到時候選舉的方式一定的結構一定是有變動的那你現在提出來的是因為我們現在這一套四分之一這一套制度選出來然後有受到性別或婦女保障名額的這個額數這個這個是絕對是失真的一個狀況
transcript.whisperx[85].start 4311.897
transcript.whisperx[85].end 4326.171
transcript.whisperx[85].text 那經過這一步法修了之後你如果要真的要比是用這一步經過這個三位就有一位然後套用在上一次的選舉結果可能會有多幾位性別保障的比例出來這個才是
transcript.whisperx[86].start 4327.872
transcript.whisperx[86].end 4349.092
transcript.whisperx[86].text 其實我們要聽的啦但是也會隨著我們有日出條款到時候狀況又不一樣所以這個我還是會覺得范雲委員跟黃婕委員提出來這個還是會讓不同性別有多一層的這個參政的比例的保障這個我們表示支持但是實務的狀況你如果真的要比是要比上一屆的得票數啦
transcript.whisperx[87].start 4354.717
transcript.whisperx[87].end 4371.75
transcript.whisperx[87].text 再補充說明一下那個議員的部分如果依照目前的規定是保障名額是160位如果三人選一人的話保障名額會237位會增加77位的保障名額
transcript.whisperx[88].start 4372.711
transcript.whisperx[88].end 4396.1
transcript.whisperx[88].text 在這個代表的部分現行的規定保障的名額是232位如果依照薛政文三人選一人的話這個保障名額會有473位增加這保障名額增加我所說的是保障的名額
transcript.whisperx[89].start 4397.051
transcript.whisperx[89].end 4425.615
transcript.whisperx[89].text 就是說保障的名額所以說這個保障名額如果由四分之一改成三分之一的話會增加兩百五十億位的保障名額這是代表的部分因為保障名額的算法應該就是反正你每三個就是一個其實就是這樣就是把總席次除以三的概念應該是這樣的概念對不對現行狀況是除以四婦女保障救治的情況之下那如果你變成所謂的性別保障名額就除以三
transcript.whisperx[90].start 4427.349
transcript.whisperx[90].end 4440.677
transcript.whisperx[90].text 但是你只知道保障我是覺得你只知道保障名的數量跟實際上的狀況那是另外一回事嘛都還是另外一回事因為這涉及到選區的劃分有些地方不見得是用到保障名的有些會用到
transcript.whisperx[91].start 4443.055
transcript.whisperx[91].end 4451.038
transcript.whisperx[91].text 應該是就是說也不是直接除以3因為現在如果那個地方民代有些人比較少他就只有兩個名額的現在三個現狀就是三個的話會三個都是男生所以我剛剛才會講說有47%的地方那個鄉鎮民代完全沒有女性當選人因為他的名額應該就是只有三人
transcript.whisperx[92].start 4462.783
transcript.whisperx[92].end 4488.73
transcript.whisperx[92].text 對 因為他不在現行的保障範圍之內那這樣子會使得連女性連參選都不參選我同意對 那所以也因為這樣子會有一些影響所以剛剛李博弈提到的那個日出條款就是下下次選舉開始我覺得這樣是對所有的人都是公平的會比較好就是因為下一次選舉就已經是明年了嘛等於是在五年後的選舉開始讓大家有逐步的時間調整面對啊
transcript.whisperx[93].start 4489.67
transcript.whisperx[93].end 4515.05
transcript.whisperx[93].text 好 謝謝 歡迎委員各位委員還有要補充的嗎來 請李坤城委員剛剛司長那一講就鄉鎮市民代表多了一倍我們聽起來好像說怎麼會多下那麼多其實你要把這個各個選區對 三個影響那個我覺得要把它講出來我覺得可能內政部再把它做仔細一點才會知道說我們這個條文如果修改之後然後對於這個鄉鎮市民代表的這一個保障大概是怎麼樣因為
transcript.whisperx[94].start 4516.491
transcript.whisperx[94].end 4544.591
transcript.whisperx[94].text 因為你這樣有些選區比較大的你看應該會增加但是對於一些選區比較小的有些在三人或三人以下的那個情況會完全不一樣這個可能內政部民政事這邊要做更仔細的一個報告給我們所有的委員這樣我們會比較清楚不然一聽這個好像多了很多好那還有沒有什麼不同意
transcript.whisperx[95].start 4546.291
transcript.whisperx[95].end 4568.542
transcript.whisperx[95].text 看起來這一條大家應該都不會反對啦包含行政機關都OK吼部長做最後確認絕對把這個往上走好 張志倫委員就是說剛剛很多我相信很多謝謝主席喔我相信剛剛在座很多委員都有提供出來說因為台灣的這個區域選區的一些問題有些選區它比如說人數很少的問題喔會造成
transcript.whisperx[96].start 4569.122
transcript.whisperx[96].end 4586.723
transcript.whisperx[96].text 但我們都保障女性的參政權利跟男性的參政權利就是說是不是要把這些資料就是說等我們政府單位的時候統整起來說哪些選區未來會影響很多的時候還是要先把這些資料交給我們各個委員讓大家有充分的討論的意見不然的話
transcript.whisperx[97].start 4588.324
transcript.whisperx[97].end 4605.06
transcript.whisperx[97].text 現在很多選區人很多是有幫助沒錯可是選區人數少的只有三人以下剛剛很多委員都提出來的以下的到底會造成什麼樣的影響其實大家還有應該應該還是需要消化跟討論一下所以我認為說大家是不是可以在等這個資料比較明確了以後比如說
transcript.whisperx[98].start 4605.64
transcript.whisperx[98].end 4627.677
transcript.whisperx[98].text 他是分全台灣哪些選區北會比較多 南比較多 中比較多大家把這個資料大家拿來重新再討論一下了以後我們相信大家都支持各個性別的參政權可是我們需要有一些更明確的資料也讓大家不要說回去的時候很多地方的人會說你們怎麼修這個法令我們都不太清楚可能對我們地方會有一些影響 以上副議長選舉的最後他改變性格或是
transcript.whisperx[99].start 4633.776
transcript.whisperx[99].end 4657.631
transcript.whisperx[99].text 我們剛剛這邊收集到一個資料每次丟出來討論就好因為我覺得到目前為止大家對方向是贊成的但是在技術上面可以完善完善我們憲法第134條有講各種選舉應規定婦女當選名額其一辦法依法律定之那現在當然其實這個是某些層面是所謂的不合時宜啦但是在客觀的技巧上會不會造成衝突或者是無法執行我們法務部
transcript.whisperx[100].start 4662.642
transcript.whisperx[100].end 4688.275
transcript.whisperx[100].text 沒有因為單一性別的概念跟婦女其實不太一樣嘛就剛剛有討論到一下精神上就是保障到有嗎對沒有問題好對啊我們廖三四大家的好朋友說明一下好不好沒有沒有
transcript.whisperx[101].start 4692.735
transcript.whisperx[101].end 4720.493
transcript.whisperx[101].text 因為憲法當時制定的時候不好意思我們聽一下吧沒有用到單一性別這一個概念單一性別是就是時代演進多了新的概念嘛對那你如果文藝解釋當然婦女就是很明確嘛那應該不會有第二種解釋嘛那我們現在單一性別保障是如果從現在的概念是包括男性應該是包括男性嘛女性多的地方就變成男性要保障所以這個因為我不是四線機關我也
transcript.whisperx[102].start 4727.965
transcript.whisperx[102].end 4743.157
transcript.whisperx[102].text 其實我認為沒有違反憲法第一個他只是說有婦女當選的保障但是他沒有限制人數那我們現在的門檻值是三個三個裡面要一定有一個女性以目前來看
transcript.whisperx[103].start 4743.877
transcript.whisperx[103].end 4766.901
transcript.whisperx[103].text 或者是未來要有兩個是女性一個是男性那表示說無論怎麼樣在鄉鎮世代的這個層級或者是多席次的層級裡面一定會有婦女當選名額那這個並沒有違反憲法上面的主要意旨那我們現在用任意性別的意思是比較符合現在的趨勢因為現在包括CEDAW也好或是包括聯合國他會覺得任意性別就是我保障女性也保障男性
transcript.whisperx[104].start 4767.481
transcript.whisperx[104].end 4790.652
transcript.whisperx[104].text 但是同時並不違反所謂的婦女當選因為他講婦女當選的保障他也沒說名額是多少那我們現在是在地方自助法裡面去規範他名額大概是多少那我們把它寫譬如說四分之一當時會通過也沒有違憲現在是三分之一或是每三人有一人當選其實也沒有違憲的疑慮啦這提供給那個要參事參考好 謝謝部長的說明參事要補充嗎
transcript.whisperx[105].start 4796.616
transcript.whisperx[105].end 4798.535
transcript.whisperx[105].text 沒有好沒關係這個大家想一下
transcript.whisperx[106].start 4800.632
transcript.whisperx[106].end 4829.725
transcript.whisperx[106].text OK 吳清平委員先舉手先跟他講好待會張宏東找我來好不好針對你說女性的保障我們就三分之一過去是四分之一那我認為四分之一比較合適因為你說沒有女性的參選當然我們要保障那我就想說我們新北就是有我們的在過去代議會都是保障都四分之一嘛那女性的還是很多啊
transcript.whisperx[107].start 4830.385
transcript.whisperx[107].end 4845.75
transcript.whisperx[107].text 那你說要是這一期沒有女性的當然我們都要保障我認為我們是維持現行的法條是比較適合啦這是我本席的建議也不要說把整個台灣都搞亂了謝謝好 請坐 盧哲偉
transcript.whisperx[108].start 4857.145
transcript.whisperx[108].end 4875.648
transcript.whisperx[108].text 沒有我是要跟各位報告一下我個人認為這個不管三分之一或四分之一不管三分之一或四分之一應該沒有違憲的問題那如果要違憲四分之一就違憲了已經用了那麼多年了我覺得是
transcript.whisperx[109].start 4878.639
transcript.whisperx[109].end 4896.652
transcript.whisperx[109].text 沒關係 這個大家都可以有不同的看法啦但我個人是認為應該不會啦這個大家可以放心啦最後再補充一下這個其實我們這個任意性別三分之一
transcript.whisperx[110].start 4897.512
transcript.whisperx[110].end 4922.57
transcript.whisperx[110].text 是比這個 如果按照範圍委員的資料會比現在的四分之一更保障女性因為我們很多的鄉鎮市民的選區因為選制的關係很多女生她根本覺得說我沒有機會選上我根本連選都不敢選所以我們這個下去之後其實是更符合憲法保障這個婦女保障名額我們是更進步四分之一到三分之一所以這沒有違憲的問題啦
transcript.whisperx[111].start 4933.07
transcript.whisperx[111].end 4955.94
transcript.whisperx[111].text 不是這樣吧等一下好對黃學偉好我再補充一下因為其實憲法的這個意思就是因為過去女性都是弱勢所以在憲法的精神當中它就是要平等嘛所以特別把這個要對女性的保障放進去然後必須要尊重性別平等那我們現在的這個修法其實也是朝向同一個目標我再講一次喔
transcript.whisperx[112].start 4956.4
transcript.whisperx[112].end 4962.724
transcript.whisperx[112].text 為什麼要修法是因為就上一次的地方選舉的數據來說全國有681個鄉鎮市民代表的選區然後裡面有近47%的選區沒有女性當選零女性當選也就是說
transcript.whisperx[113].start 4974.351
transcript.whisperx[113].end 4986.303
transcript.whisperx[113].text 681個選區當中有一半沒有任何女性耶那我們現在修這個法下去不就也是符合憲法的這個宗旨就是要讓女性可以有更多機會參政嗎那當然有一些特別剛剛幾個都會區的立委同事有提到說裡面他們過去可能是女性就比較多的
transcript.whisperx[114].start 4993.891
transcript.whisperx[114].end 5013.363
transcript.whisperx[114].text 那當然這個也可以同時保障到男性那其實在這個數據上來看還是多數是因為女性沒有辦法參政就像剛剛昆城委員說的在很多基層的選舉當中就是因為女性她看到說你這個地方就只有三個永遠都是三個男性那女性連參政的意願然後門檻天花板
transcript.whisperx[115].start 5014.884
transcript.whisperx[115].end 5039.992
transcript.whisperx[115].text 就都存在在那裡他永遠都沒有辦法參政所以我們才會這樣子修這是一個一直都是一個結構性的問題所以我們才會修這個法所以沒有什麼造成社會混亂或者是違憲的問題絕對沒有我們就是要更支持性別平等才修這個法的所以也希望所有的好同事們大家一起來支持讓性別更平等拜託 謝謝好那個巧惠委員先要嗎
transcript.whisperx[116].start 5045.159
transcript.whisperx[116].end 5058.074
transcript.whisperx[116].text 我剛剛有講到CEDAW現在的條款是希望保障50%原因就是因為我們的全國人口中女性跟男性是1比1
transcript.whisperx[117].start 5059.335
transcript.whisperx[117].end 5086.516
transcript.whisperx[117].text 那當年那個憲法是十分之一的時代所以你如果從這個歷史脈絡跟國際趨勢的話我相信不會有一個大法官會說我們現在這個制度是就是傷害婦女參政的它是提升只是它要的是一個性別軍事因為它在都會跟就是鄉鎮造成的效果不一樣那其實是而且那個也只是當選民大家都還是能夠公平的競爭
transcript.whisperx[118].start 5087.637
transcript.whisperx[118].end 5104.833
transcript.whisperx[118].text 所以希望不要因為這樣子召委就是誤導目前這個方向我沒有誤導你不要亂講話我認真講我剛剛在講這段之前我是沒有講我說這個大家都很贊成方向很好但是每一個法條的討論能夠想到什麼事情大家就完備沒有誤導的意思那我收回誤導謝謝好 蔣惠美
transcript.whisperx[119].start 5108.243
transcript.whisperx[119].end 5123.801
transcript.whisperx[119].text 对我也我觉得赵伟刚刚是提供平台让大家讨论了有点资讯了因为我本来发言我就是说我觉得用发言帮我们内政委员会永远的一席那我们的好朋友廖参思说句话我觉得他没有要说这样是违宪的意思对啊没错
transcript.whisperx[120].start 5124.181
transcript.whisperx[120].end 5143.027
transcript.whisperx[120].text 他只是本於他的職位那上台解釋的時候告訴我們說如果憲法是用文藝來解釋的話那當時上面的文字憲法不是不是當時是到現在憲法的本文的文字都還是寫婦女所以我們要調成單一性別的話他提醒我們是這樣
transcript.whisperx[121].start 5143.627
transcript.whisperx[121].end 5161.874
transcript.whisperx[121].text 不過我覺得如果以從真的從我的角度我個人的意見的話其實跟剛剛幾位委員是接近的是一致的就是說從文藝上面來講因為憲法的原文也是說因規定婦女當選名額所以不管我們是怎麼個規定法是不是保障其實我們都是一種規定啊我們也沒有超出文藝啊
transcript.whisperx[122].start 5164.615
transcript.whisperx[122].end 5187.188
transcript.whisperx[122].text 如果從立法精神來講其實我現在就是范允葳剛剛講的我們從歷史脈絡來講當時的立法意旨立憲的意旨就是在保障少數所以我想我們現在用單一性別的這樣的狀況其實也沒有違背所以我想不管是從文藝或者是從立法意旨來講我是支持我們的同事們認為大家
transcript.whisperx[123].start 5188.869
transcript.whisperx[123].end 5210.743
transcript.whisperx[123].text 这条如果我们叫这些版本改了不会有违宪的问题我支持这一讲好谢谢苏乔惠委员张志伦委员请好谢谢主席我这边有一个想法给大家做参考我觉得就是说因为刚刚提到为什么会就是我们都支持各个性别的参政的权利可是就是因为我们刚刚一直跟大家讲我们台湾有一些选区
transcript.whisperx[124].start 5211.964
transcript.whisperx[124].end 5230.97
transcript.whisperx[124].text 就是比較小然後參政人數會比較少那因為講白的就是說每個黨派都會派這個民意代表出來選所以未來可能會有一些壓縮一些選區只能派出男性或女性的候選人的問題所以我覺得女性保障民意我覺得大家都很重視可是如果以單一個小選區來講一定會造成
transcript.whisperx[125].start 5233.431
transcript.whisperx[125].end 5256.276
transcript.whisperx[125].text 這個性別參政的一個壓力啊所以是不是說未來這個女性保障名額的時候可以就是把這個選區再擴大因為在人數比較多的部分的時候這個會更公平可是如果在人數選選選舉人數越少的時候會造成一些會造成一些壓縮所以如果說如果人數到達全部total到達一定的人數的時候
transcript.whisperx[126].start 5257.176
transcript.whisperx[126].end 5284.705
transcript.whisperx[126].text 女性的人數到達一定的人數的時候那是不是就是說就是有保障到那個性別可是當如果選區如果說只有兩個人或只有幾個人的時候反而會壓縮一些人的參政的一些想法不好意思對不起那我改 跟大家講三個人的時候會有一些影響所以就是說如果把這個就是說性別的把它可以說是跨選區的說多一點人可以來來討論的時候是不是會變得比較公平
transcript.whisperx[127].start 5286.441
transcript.whisperx[127].end 5308.897
transcript.whisperx[127].text 這是張委員是不是那張委員你的意思是說三人以下譬如說一人兩人的選區他們百分之五十的女性都不需要有人代表嗎我剛剛跟證我說三個人的時候比如說國民黨過去三個人都是這個男的那國民黨如果兩個當選或民進黨兩個當選的時候另外一個政黨他可能就只能派女性會不會有這個問題
transcript.whisperx[128].start 5311.822
transcript.whisperx[128].end 5322.333
transcript.whisperx[128].text 每個政黨都有不同性別的人才可以派出啊那還是要競爭嘛我的意思是說沒錯啦 我說大家都可以競爭啦我的意思說是不是對
transcript.whisperx[129].start 5327.814
transcript.whisperx[129].end 5347.108
transcript.whisperx[129].text 欸我就說大家都可以考慮啦都可以討論啦所以說是不是說如果以這個整個縣市的女性的比例或男性的比例到達某一個比例的時候就是有保障每一個縣市的人口女性都有一半男性有一半所以你的意思是就是說如果當有這樣的情形的時候我說大家現在可以來討論啦現在就是剛剛說就是小選區喔
transcript.whisperx[130].start 5350.19
transcript.whisperx[130].end 5377.952
transcript.whisperx[130].text 鄉鎮民代表就是有百分之四十的選區連女性參選都沒有有百分之四十七的選區沒有女性當選人零選區那他們百分之五十的人口的女性所以我的意思是說他是可以跟別的選區合併起來一起看他的意思是說會有現在的男性就沒辦法當選了他還是有機會競爭嘛他如果是那三個人中的前兩名他就有機會當選嘛對不對是第三名
transcript.whisperx[131].start 5386.114
transcript.whisperx[131].end 5409.543
transcript.whisperx[131].text 來這個志文委員這一個問題齁就是給你一個建議就是這個有日出條款齁,就提早栽培女性啦或者是提早栽培另外一個單一性別沒有沒有,就是女性男性都有,未來是女性男性都有可能啦你從五年來栽,栽培啊這樣子也會讓男性競爭更多一點
transcript.whisperx[132].start 5415.369
transcript.whisperx[132].end 5423.834
transcript.whisperx[132].text 來 紅路招委沒完硬獎啊 可以啦差不多 這條差不多了就你收各位吧
transcript.whisperx[133].start 5425.646
transcript.whisperx[133].end 5450.201
transcript.whisperx[133].text 其實各位大家講的都有道理啦可是我必須要說啦剛剛內政部雖然給我們那些資訊讓大家很多的討論可是有一個東西我們要去思考一下三個人以下的選區有幾個等一下然後咧八個人的選區有幾個十個因為你會受影響就這幾個級距嘛你就這幾個級距嘛其實啦
transcript.whisperx[134].start 5455.988
transcript.whisperx[134].end 5482.049
transcript.whisperx[134].text 八個也會有因為現在從四分之一到八個這樣子你先聽我講完其實你一般就算議員選區最多也不會超過12個13個其實你真正受影響的人除了代表之外議員受影響的其實沒那麼大
transcript.whisperx[135].start 5483.772
transcript.whisperx[135].end 5497.027
transcript.whisperx[135].text 議員受影響的其實沒那麼大啦頂多是頂多是頂多是九個人的選區會多一個你要九個以上的會多一個或十二個的以上的
transcript.whisperx[136].start 5498.548
transcript.whisperx[136].end 5527.708
transcript.whisperx[136].text 可能會十二十三這附近可能會有但你說議員的選區有那麼多的也比較少其實最主要會受到影響的可能就是代表的選區因為代表的選區很多大概是三個人幾個人的其實大家要朝這個方向去思考我不是說內政部給我們資訊不對但是他那個資訊沒有很很細到讓我們去做一個很充足的一個判斷我的意思是這樣
transcript.whisperx[137].start 5530.99
transcript.whisperx[137].end 5547.865
transcript.whisperx[137].text 我來補充一下那個張宏祿委員所講的部分剛剛我們那個司長所提的是三人以下選區因為你們這樣給我們問嘛但是我們修法是三人以上保障一人所以我們應該去找出來說目前三個人以上選區的是199
transcript.whisperx[138].start 5550.307
transcript.whisperx[138].end 5573.68
transcript.whisperx[138].text 那两个人跟一个人的选区的是一个是188一个是71也就是188个跟71的不在我们现在讨论的范围内没有那个所谓的两个人就一定要有三分之一的保因为没有嘛因为每三人增加一人所以我们才在想说不要写成三分之一是每三人应增加一人的意旨
transcript.whisperx[139].start 5573.92
transcript.whisperx[139].end 5581.143
transcript.whisperx[139].text 是在於這邊所以兩人以下的選區跟一人的其實就不在這一次條文的保障之列以上
transcript.whisperx[140].start 5588.43
transcript.whisperx[140].end 5616.382
transcript.whisperx[140].text 那個我再補充說明一下為什麼要把這個拉到後面因為那個我們同條地方制度法第45條裡面有講那個宣誓就職的規定宣誓就職的規定有援引33條第7項所以你如果沒有調你這樣就我把那個宣誓的相關規則還是留在第7項所以把這個往後調這樣你就不用再修45條好不好是因為這樣子的一個原因而針對這樣的內容目前基本上我們在這個方向達成共識請問各位有沒有問題沒有
transcript.whisperx[141].start 5617.776
transcript.whisperx[141].end 5617.796
transcript.whisperx[141].text 好 謝謝
transcript.whisperx[142].start 5626.462
transcript.whisperx[142].end 5655.628
transcript.whisperx[142].text 等一下等一下等一下圈圈圈對啊對啊對啊日出 我再重新圈圈一下日出條款就是2030年嘛119年 OK有沒有問題對 我覺得這合理啦好不好 那既然有這樣非常有可能有這樣一個修正的方向也就請各黨今天在這邊的代表就把相關資訊帶去各黨黨團因為這跟各黨選舉布局是有關係的要栽培不同性別的人才這本來就是大家樂見的 OK好那我們就往這個方向我們就以這個
transcript.whisperx[143].start 5657.413
transcript.whisperx[143].end 5679.071
transcript.whisperx[143].text 沒有 這個就變成委員會嘛 委員會的現在就委員會的版本嘛 我們就留著以這個為來 有人要補充嗎跟委員報告 如果現在的33條第7項變成33條第8項那會連動到一些線型條文引到33條第7項的那個項次也要並同去做修正 譬如說45條的對啊 我調完之後它就是留在第7項啦
transcript.whisperx[144].start 5682.625
transcript.whisperx[144].end 5687.808
transcript.whisperx[144].text 沒關係 你一樣做一下統整 因為地方制度法是一部大的法所以很多確實會有連動的問題啊對啦 那個幕僚作業去處理就好了 我們不用這裡處理啊
transcript.whisperx[145].start 5725.489
transcript.whisperx[145].end 5738.095
transcript.whisperx[145].text 33條我們現在就委員會版本像這樣好不好 OK謝謝原則上我們就這樣子好不好好 因為還有很多不同委員提不同的方向我們繼續往下走 可以嗎
transcript.whisperx[146].start 5743.196
transcript.whisperx[146].end 5744.458
transcript.whisperx[146].text 這個武力華委員提52條有沒有要幫他帶回說明這個是有關於
transcript.whisperx[147].start 5764.867
transcript.whisperx[147].end 5776.859
transcript.whisperx[147].text 這個因公死亡撫恤但內政部好像有說明過嘛就是說現在有有保險嘛對不對所以修了之後沒有修之後有沒有些具體的差別現在的範圍有沒有到沒有啦
transcript.whisperx[148].start 5792.972
transcript.whisperx[148].end 5809.659
transcript.whisperx[148].text 55條有關於副市長上次有進行初步的討論那這部分我們再請內政部做一下說明可以嗎
transcript.whisperx[149].start 5826.379
transcript.whisperx[149].end 5838.768
transcript.whisperx[149].text 我現在這邊收到的是說有做就是台北市、桃園市支持嘛其他六都其他沒有意見嘛之前我們在質詢、詢答的這些結果那時候開會的結果是這樣嘛我們跟部長再次做一下確認
transcript.whisperx[150].start 5844.856
transcript.whisperx[150].end 5866.49
transcript.whisperx[150].text 有關五十五條 因為我剛有特別提到像那個邱振軍委員雖然有同樣的條文但是他也提到說其他的縣市在第二位副縣長裡面他也提出來就是說要保障那我們認為說這樣的姿勢體大而且目前為止在行政法律上面好像一致性不是太齊全
transcript.whisperx[151].start 5867.45
transcript.whisperx[151].end 5890.932
transcript.whisperx[151].text 所謂的一致性不太齊全就是說我們目前的這個第二位或是第三位副市長是以人口的比例來做修正的那現在因為有首都條款的方式要把它列為是第三位副市長那這樣子對於其他不是首都或是其他非直轄市的縣市來講的話就是所謂的直轄縣市來講的話其實也不盡公平但是最後還是要看委員會這邊怎麼討論 以上
transcript.whisperx[152].start 5895.919
transcript.whisperx[152].end 5904.297
transcript.whisperx[152].text 部長我覺得這不算是首都條款啦因為這個本來就是六都都有嘛六都一體適用啦那再來就是我是覺得
transcript.whisperx[153].start 5905.954
transcript.whisperx[153].end 5933.832
transcript.whisperx[153].text 對 按照整個比法 我知道但我的意思是講因為現在之所以要調整這個我也支持比如說包含縣市首長什麼的一起做檢討原因是這樣嘛因為我們已經通過財政收支劃分法未來在市權分配的角度上面來講地方的事務一定會變得比較繁重所以我是覺得本來就順應這樣的市權的調整增補人力我認為是有必要啦我認為是有必要那至於就是說這個細節來講要用什麼樣的標準來做增加我們聽一聽各委員的意見好不好
transcript.whisperx[154].start 5937.377
transcript.whisperx[154].end 5959.709
transcript.whisperx[154].text 來 大家針對55條有想法嗎來 張宏祿稍微請來 我想先請問一下內政部各縣市不管合併升格或直接升格他們升格之後他們多的公務人員到底有多了多少人比例大概多了多少你們手頭上有這個資料嗎原額的編制
transcript.whisperx[155].start 5966.304
transcript.whisperx[155].end 5989.431
transcript.whisperx[155].text 原來是人種在控管我知道是人種啦,我剛是說請問你們我已經說請問你們有沒有資料了啊目前手上沒有目前手上沒有不是就是生殼不是不是,他生殼之後,人一定增加
transcript.whisperx[156].start 5992.608
transcript.whisperx[156].end 6013.845
transcript.whisperx[156].text 所以 人總今天有人來嗎 人總來 請說明好 我們聽一下人事情人總是說明一下好不好 謝謝
transcript.whisperx[157].start 6019.156
transcript.whisperx[157].end 6039.849
transcript.whisperx[157].text 是有關我們那個人總的部分是就是有關編制元額的管理啊那編制元額的話就是目前的話以地質法因為主管機關在內政部這邊那目前的話編制元額我們就是用當時那個地質法是88年修正的所以說編制元額目前的情況的話直轄市有五個級距
transcript.whisperx[158].start 6040.709
transcript.whisperx[158].end 6058.983
transcript.whisperx[158].text 那縣市政府的話是沒有用人口數的級距然後是用那個前一年87年的一個數字然後再加上一次性的一個分配計算然後再加上88年7月1號的一個編制數做一個一次性分配所以也就是說直轄市它有五個級距然後在法規目前上是有
transcript.whisperx[159].start 6059.423
transcript.whisperx[159].end 6075.528
transcript.whisperx[159].text 因為人口的差別然後如果有晉升成直轄市的時候依人口數會有不同的編制數但是縣市政府目前沒有這樣的一個人口數的急遽的規範是用88年當年的一個數字做一個計算基準以上報告
transcript.whisperx[160].start 6079.742
transcript.whisperx[160].end 6101.342
transcript.whisperx[160].text 好 請問這樣有回答到趙偉的問題嗎對 所以你看所有的升格為直轄市或直轄市他的公務人員他還是依照人口數去核定他的公務人員的數目大概他剛剛人事總署的回答就是這樣所以一個直轄市的
transcript.whisperx[161].start 6102.352
transcript.whisperx[161].end 6127.957
transcript.whisperx[161].text 公務人員有多少也是依據他服務的人口有多少去做的這個是一個我們設置這一個直轄市尤其是直轄市他的所有的公務人員該有多少人這是一個最基本也是最重要的原則這是基本的原則啦我剛剛問這個問題就是想要跟各位委員報告
transcript.whisperx[162].start 6128.917
transcript.whisperx[162].end 6143.34
transcript.whisperx[162].text 不管一個直轄市要設多少的人員都是用人口去做他的一個基準的好 還有委員有想法嗎我們提案 李燕秀委員要不要補充一下
transcript.whisperx[163].start 6144.961
transcript.whisperx[163].end 6163.022
transcript.whisperx[163].text 我跟大家報告一下說明一下我的第55條跟56條的精神在於現在全世界各國但是特別台灣我們大家都知道人口的負成長的狀況是會持續的但是我們的地方自治的事項
transcript.whisperx[164].start 6163.863
transcript.whisperx[164].end 6173.368
transcript.whisperx[164].text 越來越多無論是面對極端氣候或者我們現在行政部門正在編的國土韌性不管他人口是260萬270萬或他只有150萬只要中央一個口令說我們要推國土韌性我們要推減量減碳
transcript.whisperx[165].start 6181.992
transcript.whisperx[165].end 6199.248
transcript.whisperx[165].text 一個政策下去它不管有多少地方自治事項事實上是越來越多不會因為它的人口少所以它就不用做那另外除了人口數之外其實我覺得就是說整個地方自治的值的部分我們如何把它做得更好是重點
transcript.whisperx[166].start 6200.189
transcript.whisperx[166].end 6219.911
transcript.whisperx[166].text 那我提這個案子其實無論是當時我們250萬直轄市250萬能增設第三個副市長當時只有台南市沒有辦法達標但是我們現在看人口數來看的話六都只有新北台中高雄有超過250萬那如果依現在人口的副成長未來
transcript.whisperx[167].start 6221.428
transcript.whisperx[167].end 6240.347
transcript.whisperx[167].text 恐怕要達到增設第三位副市長恐怕很多縣市都沒有辦法達標那另外就是說增設一位副市長會增加多少的預算數不是因為說增設一個副市長他連他可能有幾十個秘書也沒有等一下我可能請行政部門回應我們
transcript.whisperx[168].start 6241.568
transcript.whisperx[168].end 6258.22
transcript.whisperx[168].text 會因為曾社副市長而增加多少的預算數嗎這是第二點 第三我們現在地方知識事項越來越多跨行政 工程 公務 警察 文化 教育這個領域事實上是非常的廣
transcript.whisperx[169].start 6259.341
transcript.whisperx[169].end 6283.108
transcript.whisperx[169].text 那所以我覺得如果在專業分工的部分我們可以分得更完整對於全國各縣市地方自治的事項無論是配合中央或者是服務地方我覺得會不會做得更完整這個是我在第55條跟第56條我提出來修正案重要的意義跟他的精神在裡頭
transcript.whisperx[170].start 6284.068
transcript.whisperx[170].end 6306.513
transcript.whisperx[170].text 那希望各委員其實藍綠各縣市都有而且這是面臨現在未來全國人口負成長未來的趨勢其實恐怕無論是直轄市的第三位副市長恐怕以後都沒有機會增設第二非直轄市恐怕達120萬人口也可能越來越少增加的經費
transcript.whisperx[171].start 6307.953
transcript.whisperx[171].end 6337.068
transcript.whisperx[171].text 其实不多不会因为增加一个副市长而他连带有好几十个秘书也没有但是我们地方知识事项从中央配合极端气候厂照政策国土韧性这些专业的事项可能越来越多增设一个副市长在跨领域专业分工可不可以做得更好这三项是我主要提55条跟56条重要的精神跟目标在希望各位委员有机会可以支持谢谢
transcript.whisperx[172].start 6342.197
transcript.whisperx[172].end 6362.842
transcript.whisperx[172].text 我覺得地方制度法其實跟財政收支劃分法這個是必須要合併一起討論的啦當然我們財劃法裡面當高雄一直在喊叫面積人口的時候沒有人要聽然後現在就要來跟我們說台北市人口老化等等的
transcript.whisperx[173].start 6363.522
transcript.whisperx[173].end 6389.699
transcript.whisperx[173].text 我覺得這個是一致的必須要一併來討論的當初沒有被尊重到的一些直轄市跟現在又要讀後首都的這個法條的討論我還是覺得以全國這樣子以自信來講的話很難不讓人家聯想到這是專門只為了台北市而且還是只為了台北市的某一個副市長想要參選的一個條款啦
transcript.whisperx[174].start 6391.58
transcript.whisperx[174].end 6405.855
transcript.whisperx[174].text 所以內政委會這麼認真嚴肅要討論整個地方制度法的時候那去扯一個可能是為了選舉量身訂做的法案我在這邊提出希望大家多三思啦 謝謝我覺得
transcript.whisperx[175].start 6409.584
transcript.whisperx[175].end 6426.113
transcript.whisperx[175].text 現在按照法條的內容來調整來處理到沒有讀後哪一線是問題因為如果按照院學委員提的版本只要是副市長三人台北市、桃園市、台南台中應該都會提按照法條來講是這樣子啦台南市並沒有提出來啦
transcript.whisperx[176].start 6426.573
transcript.whisperx[176].end 6448.215
transcript.whisperx[176].text 那台北市的委員來提出來所以我們很容易聯想這是為了台北市來提的啦我覺得比較我們是全國的立法委員未來這個法條其實會適用到很多各縣市而且現在人口負成長未來大家都面臨得到重點是如何把事情做得更好地方自治事項做得更好是我提案的精神 謝謝
transcript.whisperx[177].start 6449.52
transcript.whisperx[177].end 6472.837
transcript.whisperx[177].text 那個我先補充說明一下我們待會請王議長委員發言就是說我當初在質詢這個題目的時候我的概念是這樣就是說以桃園為例啦就我們的副市長工作其實就是督導各局處啦那我相信在其他的地方政府也一樣但現在不管大家的人口是成長的趨勢或者是下降的趨勢其實很多局處大概都是盡量滿邊嘛因為地方事項繁雜然後也多嘛那
transcript.whisperx[178].start 6474.045
transcript.whisperx[178].end 6499.086
transcript.whisperx[178].text 加上財化法修正之後其實地方的事情會更多那更多的時候其實是增加人力讓督導的品質變好我覺得方向上是這樣所以我個人是蠻贊成說增加相關的員額啦好不好好這我補充一下說明來我們請王一川委員好這議員外界質疑這叫李四川條款大家都說他保守什麼叫首都條款
transcript.whisperx[179].start 6500.345
transcript.whisperx[179].end 6505.648
transcript.whisperx[179].text 既然李四川這樣,我是建議這樣啦建議這種在民國幾年來實施啊這樣就叫李四川沒關係國民黨如果這樣說下去,事情就解決了啦
transcript.whisperx[180].start 6511.816
transcript.whisperx[180].end 6527.93
transcript.whisperx[180].text 對 國民黨也說這叫李四川什麼關的 沒關的啦沒關的就看是後排跟實施 下一屆開始實施這樣也寫得出來 下下屆2030啦 加加多一條一樣2030啦這樣給我們解決疑慮啦 這樣疑慮才可以解決不然一直都說李四川條款對李四川也不公平
transcript.whisperx[181].start 6538.098
transcript.whisperx[181].end 6556.866
transcript.whisperx[181].text 不然他也可以做台北市副市長 選新北市的市長 這樣也可以腳踏兩條船這樣也可以 不然這樣一般人也沒有在這裡 大家說他在說首都條款 說到影匯這個在四川條款 有人在保護他 所以下下介再實施 看要怎樣
transcript.whisperx[182].start 6559.928
transcript.whisperx[182].end 6579.347
transcript.whisperx[182].text 來 請李修緯謝謝感謝王委員但是我想我們都很多事情都太政治化來看但是我要提的是全國的市民在等市政的推動我們所有的東西都要等下下屆都要壓一個這個太政治化的東西而且
transcript.whisperx[183].start 6583.089
transcript.whisperx[183].end 6604.162
transcript.whisperx[183].text 台北市現在是三位副市長但是不是直轄市我這次的修法其實包括非直轄市的部分我的人口數也有放寬現在是很多沒有達到第二位未來馬上就可以第二位副市長也可以把縣政的工作做得更好
transcript.whisperx[184].start 6604.662
transcript.whisperx[184].end 6622.728
transcript.whisperx[184].text 更何況我一直在強調地方自治法其實現在很多縣市的地方的業務也越來越多我剛才強調的包括行政部門在推的什麼國土韌性啦極端氣候啦減碳啦強照其實事務也都越來越多非直轄市
transcript.whisperx[185].start 6624.068
transcript.whisperx[185].end 6646.601
transcript.whisperx[185].text 可以偵涉第二位副市長而不受到人口的限制我相信也會是所有其他非直轄市的福音所以我覺得請各位委員是不是可以去思考我的版本不是只有針對直轄市以上 謝謝好 我們待會要接著討論一般的縣市嘛好不好就一樣我們時間抓一下來 張宏祿早委有請
transcript.whisperx[186].start 6647.722
transcript.whisperx[186].end 6675.391
transcript.whisperx[186].text 我覺得好像每個人講的都有他的道理存在但我們想一想以前沒有副市長的時候這些都在幹什麼以前沒有副市長的時候政務都沒有推動嗎因為以前市長比較強以前市長比較強我覺得不能這樣講以前全台灣每個縣市每個直轄市也都沒有副市長那他的政務怎麼推動
transcript.whisperx[187].start 6676.584
transcript.whisperx[187].end 6704.162
transcript.whisperx[187].text 他都沒有嗎?我講這個齁我講這一個是說要讓大家去思考一下這一個東西是可以討論的但就像剛剛李博議員講的你這個討論其實我認為要討論要三個法一起討論地方制度法、財化法跟行政區劃法三個一起去討論然後你才可以去徹底解決這個問題而不是說你用一個理由好像說啊事情沒有辦法做我跟你講
transcript.whisperx[188].start 6706.14
transcript.whisperx[188].end 6729.918
transcript.whisperx[188].text 我認為啦在一個龐大的市政府裡面其實不缺一個兩個副市長那如果要這樣講我們新北市人口400萬那為什麼你不多給我們幾個我跟你講以我們新北市的立委來講如果你通過這個法案那我們新北咧我們新北是矮的你等嗎 低的你等嗎
transcript.whisperx[189].start 6732.321
transcript.whisperx[189].end 6753.022
transcript.whisperx[189].text 所以我覺得這一個東西我們必須要全盤的去看啦而不是這樣子看我真的覺得立法還是要有它的品質在跟它的原則在我們立法的品質還是要顧到啦好 謝謝張榮哲我們請蘇小霍委員然後徐新偉
transcript.whisperx[190].start 6759.476
transcript.whisperx[190].end 6783.906
transcript.whisperx[190].text 好 謝謝謝謝主席這個因為我這個做人做事一向坦蕩蕩公開啦所以大家也知道我現在確實是有報名下一場比賽所以我本來想說涉及事務的話就不要發言這樣比較公平公正因為剛剛這個王玉川委員講到的時候我想說涉及事務就不要發言可是張文烏委員說到新北市的市政的時候我又覺得不行我一定要替新北市講兩句話
transcript.whisperx[191].start 6785.146
transcript.whisperx[191].end 6811.56
transcript.whisperx[191].text 那我覺得是這樣就是確實我們這次從修法以來大家都各個委員提出版本我們都尊重從這一屆以來不管是裁劃法或者是任何其他的法律但是我們必須說你看到問題要提出解方這個我們都尊重可是你這個解方是不是能夠適用到全國然後到各個情況都能夠公平使用
transcript.whisperx[192].start 6812.361
transcript.whisperx[192].end 6826.78
transcript.whisperx[192].text 適用這就是問題的所在然後它的配套到底有沒有已經完備這部所謂的新法就實施上路這也才是更大的問題像財政收支劃分法就是一個很明顯的例子
transcript.whisperx[193].start 6827.361
transcript.whisperx[193].end 6834.006
transcript.whisperx[193].text 因為各個地方政府誰不想要錢多我們當然也想要錢多一點新北市當然想要多一點錢但是問題是你的中央後面的錢和權跟地方重新怎麼劃分到底最後我們的總數是多少這如果沒有講到好還有為什麼每個比例的縣市是這樣為什麼花蓮可以增加這麼多新北才增加這樣按比例來說為什麼是這個版本
transcript.whisperx[194].start 6851.46
transcript.whisperx[194].end 6874.856
transcript.whisperx[194].text 這我們也想要知道啊所以這樣的狀況我們就覺得對才化法當時我們是很保留的嘛好那你現在說才化法現在到地方制度法的這個副市長副市長職位當然我們也覺得現在事務繁多能夠有更多的優秀人才為地方服務都是好事那麼現在我們有這個版本大家在討論的時候本來內政部並沒有覺得
transcript.whisperx[195].start 6875.777
transcript.whisperx[195].end 6899.882
transcript.whisperx[195].text 要由這個修法今天李委員提的這個版本內政部持保留的態度那我們是不是就一定要看為什麼是250萬人的時候徵社一席那確實就是如同張宏立委員說的嘛如果我們是因為事務繁雜以至於在250萬的時候又畫了一個新的界線變成三人那麼我們新北市現在真的就是
transcript.whisperx[196].start 6900.942
transcript.whisperx[196].end 6905.603
transcript.whisperx[196].text 超過400萬人啦 足足比250萬人又多了150萬人欸那我們是不是應該增加第四席 甚至是第五席到底每增設一席的集聚在哪裡 我們要不要也一併討論對啊 那如果這樣大家都講到講到鐵 好啊 這樣就來啊 對不對所以我本席提出這樣的意見 把全套一起想好
transcript.whisperx[197].start 6927.547
transcript.whisperx[197].end 6933.342
transcript.whisperx[197].text 謝謝主席剛剛大家就打開潘朵拉的盒子那這個條款就是李時春條款吧
transcript.whisperx[198].start 6933.991
transcript.whisperx[198].end 6959.24
transcript.whisperx[198].text 因為現在台北市人口的確是不到250萬那這個台北市人口減少但是我們新北市人口是增加的所以說今天如果說台北市沒有達到這個基準那本來就應該降成兩席所以你可以說他是李四川條款我也可以說是蔣萬恩條款你市場強的話你兩個副市長也是可以做得很好那為什麼說一定要保留到這個第三席這個你人口數不到然後你就硬要保留到第三席
transcript.whisperx[199].start 6959.68
transcript.whisperx[199].end 6981.2
transcript.whisperx[199].text 所以就是說這個市長是比較弱一定要有三個副市長要來扶持他才有辦法做那如果現在不修這個法的話那到底對於現狀會有什麼樣的影響我覺得也沒有什麼影響影響不大那如果說真的硬要說這個因為這個不管是李四川或是蔣灣硬要修這個條款的話我覺得是因人設施這個比較不適當
transcript.whisperx[200].start 6985.796
transcript.whisperx[200].end 7001.004
transcript.whisperx[200].text 好謝謝學信委員謝謝我想今天討論這個我也非常認同前面各位委員的這個意見也尊重那但是就是說譬如說我們看直轄市或非直轄市直轄市的部分
transcript.whisperx[201].start 7003.185
transcript.whisperx[201].end 7022.531
transcript.whisperx[201].text 250萬人他這個少一點多一點都在250萬上下那當然我第一個我是想提出就是說我們也不要太標籤化今天即便不是李四川假設是一個李五川他當這個台北市的副市長那台北市的人口這樣上上下下在250萬的這種這個附近上下徘徊的時候
transcript.whisperx[202].start 7029.293
transcript.whisperx[202].end 7048.488
transcript.whisperx[202].text 今天也不是說市長的能力怎麼樣而是說今天我們多一位副市長或是副縣長來相助讓市政或縣政可以推動得更好我們的思考是這樣然後再來就是社會的變遷我想這個
transcript.whisperx[203].start 7049.869
transcript.whisperx[203].end 7073.47
transcript.whisperx[203].text 上一個會期我們在討論的時候除了人口數之外社會的變遷社會的情況我想大家應該也認同我們現在雖然智慧型手機出來十幾年前沒有智慧型手機可是智慧型手機出來好像也沒有特別清閒還反而特別忙碌所以社會的變遷包括我們警察老師現在都不好當所以我們站在這個隨著社會
transcript.whisperx[204].start 7075.111
transcript.whisperx[204].end 7075.291
transcript.whisperx[204].text 人口比250萬還多這麼多
transcript.whisperx[205].start 7093.923
transcript.whisperx[205].end 7121.339
transcript.whisperx[205].text 支持我們一併討論就是說我們看把人口集聚也弄出來然後另外縣市的話我想上次王美惠委員也有提未來你也可能是我們的也有可能是縣市長所以是不是一個縣市也可以有兩席的副市長或副縣長那其實也是因應社會的變遷那在這邊我個人提一個我在第八屆的時候
transcript.whisperx[206].start 7122.199
transcript.whisperx[206].end 7148.345
transcript.whisperx[206].text 我一個人一個立委我的選民數有五十幾萬那時候南投兩席立委加起來都沒有我的多所以我覺得這個有的時候很難就是說人口在成長你來不及修法那當然有一些人他就承擔了但是我們如果法律完備然後再來就是其實多一席對整個財政負擔也沒有
transcript.whisperx[207].start 7148.965
transcript.whisperx[207].end 7172.348
transcript.whisperx[207].text 影響但是呢可以讓市政縣政尤其剛剛我看到有的也提到有的面積比較大的那所以我們我是支持啦直轄市那可以最少三位那人口討論一下人口更多的我們集聚要怎麼樣來增加然後縣市的話能夠有兩位副市長或副縣長謝謝
transcript.whisperx[208].start 7174.022
transcript.whisperx[208].end 7197.908
transcript.whisperx[208].text 好 謝謝徐欣英委員其實我剛剛非常高興我們張榮宇召委跟蘇小委員都有提到新北的問題嘛我們就討論這個事情不是一人涉世反而是就借這樣的機會一併來思考嘛一併來思考我相信未來地方政府的工作不管是直轄市或者是縣市政府一定是變比現在繁重這是確定的人口可能會變少因為少子化沒辦法但工作會繁重確定因為財化法嘛
transcript.whisperx[209].start 7198.468
transcript.whisperx[209].end 7218.677
transcript.whisperx[209].text 所以我是覺得我是非常贊成都增加你說新北市要不要四個副市長我認為我都覺得很合理因為事實上你認真講台灣新北市的服務員跟這樣的人口數大概只有新北市會這樣我們如果真的有這樣子的一個條款我也不會認為它是所謂的新北條款因為本來就是要解決共同的問題所以
transcript.whisperx[210].start 7221.888
transcript.whisperx[210].end 7227.884
transcript.whisperx[210].text 現在看起來兩邊共識是比較有限有限但是我覺得沒關係大家還沒有什麼意見要來做補充
transcript.whisperx[211].start 7228.925
transcript.whisperx[211].end 7258.147
transcript.whisperx[211].text 在我們往下走之前直轄市的部分大家都我覺得大家都已經大家都已經立場都表達得很清楚了嘛對不對我覺得新北市尤其是新北市的委員不管黨派啦都可以思考一下如果說按照工作量繁重等等加起來新北市要有一個怎麼樣的版本對新北市發展有利我覺得大家可以思考一下如果可以收束版本是最好不同的話我也鼓勵大家提出這個不一樣的版本直轄市市長的人數副市長的人數那縣市的部分大家有沒有想法有沒有意見
transcript.whisperx[212].start 7260.325
transcript.whisperx[212].end 7271.363
transcript.whisperx[212].text 56條好 李博人我覺得那個剛剛主席講的那個我繞回來再講55條
transcript.whisperx[213].start 7273.479
transcript.whisperx[213].end 7291.418
transcript.whisperx[213].text 今天是在討論台北市那個副市長辭掉以後要不要讓他補要用法制化來讓台北市補要變成有三個副市長結果你現在講一講講到說好那我們從三個開始加全部的職牙師從三個開始加來看新北面積多大要加幾個人口多少要加幾個
transcript.whisperx[214].start 7292.259
transcript.whisperx[214].end 7316.481
transcript.whisperx[214].text 高雄你人口這樣那你面積多大有沒有資格加我覺得又破壞了原本的討論是不是再收回來收束一下來討論說人口急劇以及這個地方制度法其實跟財政收支劃分法當時的審法當時的審法把整個人口擺為重點把整個面積全部忽視造成高雄的極度不滿
transcript.whisperx[215].start 7318.049
transcript.whisperx[215].end 7343.494
transcript.whisperx[215].text 你現在這個只要用人口或者是要用往上加的話這一個會議就只是在增加全台灣所有縣市直轄市要增加幾個副市長縣市要增加幾個副縣長我覺得這樣很奇怪啦跟我們的地方制度法以及現在的這個財政收支劃分法已經劃下去的都是一個很奇怪的修法提供給各位做參考好 請徐信委員
transcript.whisperx[216].start 7347.305
transcript.whisperx[216].end 7352.99
transcript.whisperx[216].text 不好意思 我想我們今天討論地方制度法財政收支劃分法也不是在內政委員討論當初是在財政委員會討論的
transcript.whisperx[217].start 7357.391
transcript.whisperx[217].end 7379.156
transcript.whisperx[217].text 那但是就是說地方制度法我們現在針對的是整個我們這個第55條56條副市長或是副縣長這個非直轄市的副市長副縣長的討論所以是不是有必要把財政收支化分法一起拉進來這點我覺得我們也可以
transcript.whisperx[218].start 7380.376
transcript.whisperx[218].end 7406.491
transcript.whisperx[218].text 再思考一下因为这个部分的讨论跟财政财政送资划分法确实它是一个非常大而且也比较复杂的但是这跟我们副市长或副县长这个应该是可以不必一并讨论那再来本席最后也强调就是说我们在讨论法条的时候其实真的也不要太过度解读真的不是说特别针对谁当然你要这样讲
transcript.whisperx[219].start 7407.071
transcript.whisperx[219].end 7435.288
transcript.whisperx[219].text 那当时任职在那个位置上的那当然他这个没办法他就只能承担了但是我们还是希望能够比较理性然后平和的来看待直辖市跟非直辖市因应现在社会的整个的变化那我相信我们今天在座的委员未来也都很有可能会是直辖市的市长或是非直辖市的县市长
transcript.whisperx[220].start 7436.314
transcript.whisperx[220].end 7463.002
transcript.whisperx[220].text 所以我們這個大家可以聚焦一點討論就是增加一位副市長或是副縣長這個對於整個會有什麼衝擊如果沒有但是面對現在的現況其實是真的可以相助到行政首長這一塊我本席再次說明 謝謝好 謝謝針對縣市的副縣長或副市長的人數大家有沒有想法跟意見
transcript.whisperx[221].start 7470.435
transcript.whisperx[221].end 7489.568
transcript.whisperx[221].text 好我覺得大家意見表達的差不多了雖然這一條的共識比較有限但沒關係我們就先hold著我們先保留那一樣就是各行各派我是覺得把這個相關的意見做一個整合跟收束啦形成統一的版本嘛我們再進到下一個階段我認為會是比較妥適的好不好那我們今天不耽誤大家的時間我們繼續往下走OK好61條這個是村里長的撫恤金按照剛剛的我們就不處理可以嗎還是有沒有代理要說明的
transcript.whisperx[222].start 7500.438
transcript.whisperx[222].end 7523.307
transcript.whisperx[222].text 沒有 不處理 我們就不許處理78條 我們李昆城委員提的所謂的停發諷解來 李昆城委員 你要說明一下嗎因為我們現在地方制度法第78條有規定就是說民選首長有重大刑案被起訴那應該停職但是停職的新諷諷解是否有發放沒有明確的規定所以會有標準不一的一個情況
transcript.whisperx[223].start 7524.207
transcript.whisperx[223].end 7539.948
transcript.whisperx[223].text 然後現在是按照這個如果說你選首長停職的話停職期間是否發給半封是按照這個行政院人事行政總署的一個規定那是由目前是由這個等於是由內政部來決定說那是不是發給這個半封
transcript.whisperx[224].start 7541.57
transcript.whisperx[224].end 7568.382
transcript.whisperx[224].text 那我是覺得說我的這個修法是明確增訂在停職期間同時停止發給諷刺的規定那一方面防止這個公帑資源遭到濫用那一方面保持這個確保制度公平的一致性免除外界對於雙重標準的疑慮那這個目前也有這個兩位遭停職的這個縣市長那內政部也表示說為了貫徹政府掃除貪污建立年齡政治決心
transcript.whisperx[225].start 7568.962
transcript.whisperx[225].end 7591.886
transcript.whisperx[225].text 因此決定停職期間不合給半數的這個縫額那我是覺得說這個我們就也不是說這一個特別針對誰那我是覺得說我們是不是我們把這個規定把這個制度把它明確化就直接在我們這個地方制度法的第78條裡面就很明確規定你只要是民選的首長這個遭到停職我們這個新縫就停止這個發給這以上說明
transcript.whisperx[226].start 7596.823
transcript.whisperx[226].end 7610.215
transcript.whisperx[226].text 我們行政單位有沒有要補充說明的好 請人事行政總署可以說明一下嗎針對這個條文放在這個地方是不是和一些內容文字的有沒有必要修正請做一下補充說明 謝謝
transcript.whisperx[227].start 7613.494
transcript.whisperx[227].end 7635.572
transcript.whisperx[227].text 人事總署這邊說明那因為我們今天這一塊的這個諷刑法是我們給予處的這個業務那所以有關這個之前這個函式的部分我們能夠代為說明的部分就是說這個是由那個主管機關那個地制法的主管機關內政部去決定說是不是去做後續那我們尊重內政部的一個處理這樣 以上請國務部長
transcript.whisperx[228].start 7640.663
transcript.whisperx[228].end 7642.165
transcript.whisperx[228].text 那個縫擠的部分 村里長會不會衝突
transcript.whisperx[229].start 7663.032
transcript.whisperx[229].end 7689.719
transcript.whisperx[229].text 對啊 因為你寫村里長嘛 然後停發鳳擠因為鳳擠好像是村里長是叫做那叫服務費嘛 對不對那其實不是鳳擠對不對村里長就是無擠職啦他是無擠職啊 這可以修正啦我們就在討論的過程中來做一下好 針對這一條大家還有沒有什麼要補充的那文字上要不要做一下修正
transcript.whisperx[230].start 7692.694
transcript.whisperx[230].end 7716.009
transcript.whisperx[230].text 你是要改縫擠還是把村里長拿掉嗎?大概是這樣吧,因為這兩個...村里長拿掉,有噴水的意思因為對村里長沒有縫擠但如果真的發生這樣的狀況的時候,他的機制是什麼?對啊,因為你村里長還...對,他會不會就沒有停職的問題了嘛
transcript.whisperx[231].start 7733.81
transcript.whisperx[231].end 7744.376
transcript.whisperx[231].text 那個民政說明一下好不好村里長的部分因為他不叫鳳姐他就叫什麼來來你那個要說明一下有過事務補助費事務補助費嗎鳳姐或事務補助費
transcript.whisperx[232].start 7748.434
transcript.whisperx[232].end 7760.706
transcript.whisperx[232].text 那現在是叫事務的補助費那把它改成事務的補助費好了這個是村里長的 或停發奉集或事務補助費
transcript.whisperx[233].start 7791.386
transcript.whisperx[233].end 7799.953
transcript.whisperx[233].text 可以嗎 針對這樣子的法條修正文字 請問大家有沒有意見來 巧惠委員看一下 好
transcript.whisperx[234].start 7806.488
transcript.whisperx[234].end 7821.977
transcript.whisperx[234].text 我們部長說一樣我們要請教我們的老朋友防護廖強憲戰士看一下這個部分好不好文資修正給我們一點意見謝謝對就是現在這樣子如果法條是這樣寫的話
transcript.whisperx[235].start 7829.093
transcript.whisperx[235].end 7850.811
transcript.whisperx[235].text 因為村里長的那個費用他有他的專用名詞就是事務補助費那不好意思公務員就是一般的諷刑那現在因為原來昆城委員的版本是因為停發諷刑所以下面對應的是公務人員諷刑法第21條那我們現在加了一個事務補助費他對應的法條的部分有需要再增加嗎
transcript.whisperx[236].start 7853.764
transcript.whisperx[236].end 7867.183
transcript.whisperx[236].text 請教一下主管機關的是目前村里長他領事務補助費有沒有另外像公務員就是這種停職職務的時候他也有這種
transcript.whisperx[237].start 7870.687
transcript.whisperx[237].end 7891.218
transcript.whisperx[237].text 領一半的這種規定如果有的話才需要再加進去如果是完全沒有因為公務員目前有奉集法21條的適用所以他必須要特別在這個地方把它排除掉那我不知道村里長目前目前他的事務輔助會有沒有這一類的規定如果有的話才建議把它加上去
transcript.whisperx[238].start 7893.548
transcript.whisperx[238].end 7914.306
transcript.whisperx[238].text 來 民政司那個村里長如果停職的話他失誤補助費是讓代理人來領這個失誤補助費所以其實並沒有其他相關的一個規定要做處理代理就是通常代理就是你幹事或者是什麼去代理嘛
transcript.whisperx[239].start 7920.463
transcript.whisperx[239].end 7942.935
transcript.whisperx[239].text 巧合委員的意思是他如果已經停職了就一定就不會發補助費了嗎因為補助費是給代理的人嘛對那這樣的話我們還要寫嗎因為剛剛我們是認為他會領嘛所以我們要不要讓他領到嘛所以我們在這裡的時候說把事務補助費停掉可是你現在告訴我的是說村里里長的部分如果被停職是直接會指派代理人
transcript.whisperx[240].start 7943.635
transcript.whisperx[240].end 7970.803
transcript.whisperx[240].text 而且事務補助費是直接就給這個代理人了那這樣我們還需要在這裡停發事務補助費嗎因為這樣反而會讓那個代理的里長沒有事務補助費用喔是這個意思吧也不是啦但應該說這樣寫就是有寫跟沒有寫可能效果是一樣的因為事實上停職就不會發嘛所以你有沒有寫他都不會發給那個被停職的人而是會發給那個代理的人這樣子
transcript.whisperx[241].start 7987.196
transcript.whisperx[241].end 7999.907
transcript.whisperx[241].text 請主管機關確認的是說村里長他停止職務的時候他有沒有特別的規定類似公務人員奉集法就是他可以領一半的這種規定那如果沒有的話就不需要因為他
transcript.whisperx[242].start 8000.546
transcript.whisperx[242].end 8022.895
transcript.whisperx[242].text 另外代理人那是給代理人的補助費嘛那不是村里長自己個人的補助費所以應該是如果是他沒有類似公務人員奉集法21條的這種規定那就不需要再特別增列上去因為他就是停止停發而已所以其實就是沒有其實沒有必要寫嘛是這樣意思是不是
transcript.whisperx[243].start 8029.25
transcript.whisperx[243].end 8056.802
transcript.whisperx[243].text 村里長要停職務啊他要停職務他的職務被停了他的職務停了以後才產生了代理人嘛那依照現行的規定就是只要代理人一出來這個事務補助費是直接移轉到代理人身上的啊對不對所以我們本來就所以我們在這裡反而不應該把它停發對啊因為我們現在的狀況我們現在如果按照我們新修的狀況是停止職務及停發奉給
transcript.whisperx[244].start 8058.226
transcript.whisperx[244].end 8072.602
transcript.whisperx[244].text 或 事務補助費呢那個或字是鳳幾或事務補助費動詞是停發啊你現在如果把它加上去我們本來以為是他有發啊啊你這樣寫了停發以後反而代理人會領不到耶是不是這樣
transcript.whisperx[245].start 8078.104
transcript.whisperx[245].end 8100.346
transcript.whisperx[245].text 也不是啦 因為我們這個是針對被停職的人啦應該是針對被停職的人 不會針對到說那個GT的人的這個不管是事務補給費因為就算現在有那個代理的這個縣市長這個副市長來代理 他本來就也是有薪水啊我們只是說停職的那個人 我們不給奉給或是說事務補給費啦
transcript.whisperx[246].start 8105.509
transcript.whisperx[246].end 8123.789
transcript.whisperx[246].text 那只是說因為現在這個我們鳳擠這個有沒有停發沒有一個明確的標準規定我這樣聽我這樣聽是說事務補助費只要是村里長他只要有被停止就沒了就沒了就沒了就沒了那所以說那所以那這個寫有沒有關係啦對其實沒有關係
transcript.whisperx[247].start 8127.455
transcript.whisperx[247].end 8148.123
transcript.whisperx[247].text 那你還有堅持要寫嗎 還是就不寫沒有啊 我是看大家的討論 主要是就是說這個用意在於說只要是停職就沒有領薪水啦那怎麼寫會比較這個合乎法規的 大家討論一下但是你寫前面有里長 後面不曉得怪怪的 會不會這樣子
transcript.whisperx[248].start 8150.54
transcript.whisperx[248].end 8172.817
transcript.whisperx[248].text 沒關係 去思考一下如果寫的也沒有影響因為上面還有村里長如果把它寫上去也沒有受到影響的話那就把它補上去好 另外我要提醒一下我剛剛有查到一個因為我特別去看了一下公務人員風級法第21條規定所以我建議我們委員會要達成你要把21條改成21條一項規定
transcript.whisperx[249].start 8174.958
transcript.whisperx[249].end 8197.623
transcript.whisperx[249].text 因為二十一條第一項是講說你如果有狀況我是本來要發半封嘛但因為你現在要從嚴處理嘛所以不能讓他領半封要全部拿掉可是二十一條的二項三項是萬一最後還他清白你要補給他喔那本來就應該補給他可是你如果不適用這個的話那通通都沒有了你會連個補的都沒有所以我是覺得把二十一條一項把它寫清楚來好不好這
transcript.whisperx[250].start 8203.722
transcript.whisperx[250].end 8221.934
transcript.whisperx[250].text 對 你們確認一下好不好沒關係 來 李培委員我請問一下民政司齁 這個事務補助費我們其實定義它不是 它應該不是算縫集對不對不算縫集 對那我們現在討論的是縫集要停對不對
transcript.whisperx[251].start 8223.615
transcript.whisperx[251].end 8250.514
transcript.whisperx[251].text 那所以如果依照這個邏輯來講的話如果村里長被停職 因為他們被停職的話他也不會領到這個私務補助費對不對那所以依據這三個脈絡來講的話我是建議說這個私務補助費就不要寫進去會比較合理啦對 因為你上面有村里長 現在沒有也蠻奇怪的
transcript.whisperx[252].start 8254.622
transcript.whisperx[252].end 8255.168
transcript.whisperx[252].text 好 沒關係啦
transcript.whisperx[253].start 8265.69
transcript.whisperx[253].end 8283.72
transcript.whisperx[253].text 我的原來版本是因為內政部說因為還有村里長在上面啦那所以說村里長他不是奉旗嘛他是失誤補助費那如果說加了或失誤補助費也沒有影響的話那我覺得讓整個法條看起來更完整我是覺得加上去也可以啦那當然
transcript.whisperx[254].start 8297.029
transcript.whisperx[254].end 8319.457
transcript.whisperx[254].text 給代理里長啦 對啊其實因為我們是針對被停職的人啦好 民政司補充應該不是說轉移啦 而是說實際執行這個村裡服務的這個人的補助費是這個服務村裡的一個事務的一個相關的費用誰來執行就是誰來做的
transcript.whisperx[255].start 8325.265
transcript.whisperx[255].end 8337.414
transcript.whisperx[255].text 好 那如果條文照這樣子 還有問題嗎對 那個奉集法的部分 任總做最後一次的補充好不好我們差不多要有個結論 我們要往下走我們原住民委員等很久了 所以我也不太好意思了
transcript.whisperx[256].start 8351.725
transcript.whisperx[256].end 8373.122
transcript.whisperx[256].text 跟委員報告一下我這邊是詮釋部那剛剛提到的那個諷刑法部分因為其實我們諷刑法適用對象是定有關職等的公務人員所以其實村里長還有這個民選首長的部分其實他不是我們諷刑法適用對象那這可能就要回歸到內政部的跟人總或者是相關的一些
transcript.whisperx[257].start 8376.584
transcript.whisperx[257].end 8386.684
transcript.whisperx[257].text 那沒有 如果他的意思是講完全跟奉行法無關意思是根本不用寫嘛對不對 不用寫 是不適用的問題嘛你的意思是這樣子嗎他不是我們奉行法的適用對象 對對對
transcript.whisperx[258].start 8392.133
transcript.whisperx[258].end 8415.967
transcript.whisperx[258].text 好 越來越複雜了 大家頭很痛了我建議這樣子啊 來 我跟委會報告一下跟聯席委會報告一下這個 不管 我們現在有幾個爭點嘛針對這一條 譬如說諷刺 還有村里長的部分然後是不是用公務人員諷刺法那大概都還有一些發散跟一些需要思考的地方所以我建議我們這條我們就擱著好不好因為我講我們今天沒有急著要下結論我們下一次開會的時候再來處理好不好 昆城委員
transcript.whisperx[259].start 8417.011
transcript.whisperx[259].end 8441.704
transcript.whisperx[259].text 我的意思是說如果大家有這個共識就是停職就是不拿薪水那如果有這個共識的話那如果這樣子是他沒有適用這一個公務人員的諷刑法那我們就把它拿掉我們就把它拿掉因為就是說我們就是到前面停止其職務或是停發諷刑或事務補助費這樣就可以了
transcript.whisperx[260].start 8442.694
transcript.whisperx[260].end 8460.533
transcript.whisperx[260].text 但如果有公務員身份的我們是講那個市的首長現在都是民選的啊因為這是地方制度法的修正所以如果你那個什麼公務員懲戒法跟公務員奉勸不要寫就是獲事務補助費後面就寫復職後也不補發這樣就好了
transcript.whisperx[261].start 8464.158
transcript.whisperx[261].end 8489.607
transcript.whisperx[261].text 因為那裡面很多有些不是公務人員就是民選的跟一般公務人員要有那個懲戒法或者是公務人員諷刑法的那個規範的範圍還是有一點不太完全一樣也就是說不要寫懲戒法也不要寫那個諷刑法就是就是復職後也不補發對啊會有復職後的問題我覺得有復職後的問題我們現在在處理是復職後的問題如果解職的話是全部都沒了
transcript.whisperx[262].start 8490.732
transcript.whisperx[262].end 8498.524
transcript.whisperx[262].text 對 所以越來越複雜了嘛 好不好沒關係 我們各自待會去稍微做一下研究我覺得方向上大家不反對就是把這個懲戒條款增加嘛
transcript.whisperx[263].start 8500.353
transcript.whisperx[263].end 8521.521
transcript.whisperx[263].text 沒有 因為其實如果他復職了其實我是同意他可以拿回他的薪水對 你就變成要另外再加條文如果你不這樣寫的話那狀況會是這樣那所以我的意思是說我們只是處理到他停職的這個部分停職的部分我們就是不發給他的薪水因為目前沒有這個標準嘛那我就把它明確化
transcript.whisperx[264].start 8524.781
transcript.whisperx[264].end 8538.008
transcript.whisperx[264].text 我們是不是可以收束一下然後我覺得你要下一次我也沒有意見我們現在狀況就是說除了原本的停職之外我們要讓停止鳳擊的部分不發給這個薪水不發薪水給他這件事情要明確化所以我們就寫了停發鳳擊這個部分但我們第一個爭點一是因為有村里長所以事務補助費要不要寫上去這是第一個那會牽涉到的是
transcript.whisperx[265].start 8552.856
transcript.whisperx[265].end 8575.53
transcript.whisperx[265].text 事務補助費到底寫上去比較明確呢還是寫上去反而會造成代理人領不到這樣的文藝這是第一個這是增點一啦增點一剛剛這樣的狀況嘛那增點二的話是因為要講這件事情所以下面要引用的法條這個不適用的部分呢除了懲戒法之外要不要是公務人員奉集法
transcript.whisperx[266].start 8576.551
transcript.whisperx[266].end 8603.189
transcript.whisperx[266].text 第一項或者是全條文甚至是還有沒有其他的條文要引用的這個是增點二嘛然後增點三現在復職後如果這個停職就是判決之後他無罪了嘛那在這樣的狀況下那他可以復職那甚至是要是時間已經過了呢他那個任期民選的部分任期已經過了呢那要不要把他當時沒有在職的那一段時間的薪水奉給他
transcript.whisperx[267].start 8604.89
transcript.whisperx[267].end 8622.932
transcript.whisperx[267].text 這樣有三個爭點那是不是請內政部可以就這部分直接提出對啦我覺得可以思考一下不是啦就是下一次還有權序還有權序好不好這樣所以這點我們就先保留好不好就是請各委員彼此之間串一下就把它變成流暢可行然後大家都可以可以的版本嘛總是要
transcript.whisperx[268].start 8625.968
transcript.whisperx[268].end 8645.164
transcript.whisperx[268].text 對嘛就基本的這個所以那個也請我們相關的行政機關跟我們提案委員這邊來做一下清楚的溝通跟說明然後整合出可以的版本好不好那我們這點我們先保留好我們接下來進83條但不管怎麼樣我們先休息一下好不好喘口氣喘口氣休息五分鐘大家上上廁所11點回來這邊我們做83條的討論好先來休息
transcript.whisperx[269].start 8651.698
transcript.whisperx[269].end 8656.1
transcript.whisperx[269].text 你為什麼那麼高啊?因為我拉到最高小朋友什麼時候這麼大塊了我想說為什麼每次到最低的位置
transcript.whisperx[270].start 8677.472
transcript.whisperx[270].end 8680.754
transcript.whisperx[270].text 高起來了耶我發現你每次站那個板子都站很高就是那個呈現很...
transcript.whisperx[271].start 8703.468
transcript.whisperx[271].end 8718.027
transcript.whisperx[271].text 那個麥克風會擋到我就是 這裡每次看到麥克風那個是不太自然的跟我們平常的溝通我一直想說 麥克風還有這些就是財政的因為之後也是一些財政的部分那就都把它保留起來這樣子
transcript.whisperx[272].start 8735.565
transcript.whisperx[272].end 8751.392
transcript.whisperx[272].text 我們來到台南的左製手工餐廳想要視乎這間餐廳財政沒有自廣的樣子所以就會變成這樣謝謝不是完全靠我們那種認識正面的
transcript.whisperx[273].start 8765.244
transcript.whisperx[273].end 8765.965
transcript.whisperx[273].text 謝謝你不好意思講
transcript.whisperx[274].start 8799.777
transcript.whisperx[274].end 8816.632
transcript.whisperx[274].text 那是...
transcript.whisperx[275].start 8821.153
transcript.whisperx[275].end 8821.173
transcript.whisperx[275].text 誰啊
transcript.whisperx[276].start 8843.485
transcript.whisperx[276].end 8853.529
transcript.whisperx[276].text 先不要讲谢谢
transcript.whisperx[277].start 8868.441
transcript.whisperx[277].end 8872.37
transcript.whisperx[277].text 可是43號沒有提供口號 因為3號是口號 然後4號是
transcript.whisperx[278].start 8877.593
transcript.whisperx[278].end 8884.599
transcript.whisperx[278].text 所以我們才必須要所以我們才所以我們才必須要不要說白了
transcript.whisperx[279].start 8901.192
transcript.whisperx[279].end 8912.622
transcript.whisperx[279].text 你看 我們的第一項目就是實施手續的傳染藥物防疫科技消息這是它的版本 這是原版的版本原版
transcript.whisperx[280].start 8925.513
transcript.whisperx[280].end 8951.798
transcript.whisperx[280].text 請問一下 要維持改制前的三峰下山嗎這已經很清楚 但是後面再有恰桑 回到後面再有恰桑這在恰桑嗎 如果還要回到恰桑就沒有問題好 你們再溝通一下都可以 好不好 就這樣比較快 待會反而比較快我們再談一會好 你們說恰桑不要進入恰桑的下山 原因是
transcript.whisperx[281].start 8953.719
transcript.whisperx[281].end 8955.667
transcript.whisperx[281].text 因為所有的聚合體是小四的一切
transcript.whisperx[282].start 8962.464
transcript.whisperx[282].end 8971.849
transcript.whisperx[282].text 我現在是要準備去公堂我是在回到當時說要插傘因為我們在83樓之七的那一樓我們已經進了是新的一樓
transcript.whisperx[283].start 8989.718
transcript.whisperx[283].end 9001.327
transcript.whisperx[283].text 對不對 但是到了最後 事實上手並不穩我們的資料是有發過來的我們投資的命運是有道理的我們是有道理的後來接下來的資料是有道理的
transcript.whisperx[284].start 9010.114
transcript.whisperx[284].end 9010.334
transcript.whisperx[284].text 謝謝大家
transcript.whisperx[285].start 9028.581
transcript.whisperx[285].end 9036.847
transcript.whisperx[285].text 你不是說有增加 但是實際上它是已經先減少了對啊然後再增加因為這樣是對的嗎
transcript.whisperx[286].start 9058.922
transcript.whisperx[286].end 9062.584
transcript.whisperx[286].text 我們待會就直接討論好不好
transcript.whisperx[287].start 9087.81
transcript.whisperx[287].end 9088.473
transcript.whisperx[287].text 來 請坐 我們不是一起聽
transcript.whisperx[288].start 9091.749
transcript.whisperx[288].end 9115.823
transcript.whisperx[288].text 好報告聯席委員會我們繼續開會我補充說明一下其實我們剛剛討論昆城委員這個條文他第一次審查的時候他也是沒有來的對不對但我講我說如果是我來主持會議我們都盡量可以有現場到場我們都盡量保留大家的發言空間這樣法條的修正可以廣納各方的意見請大家諒解雖然大家會比較辛苦一點好不好但這是我們的原則我補充做一下說明好
transcript.whisperx[289].start 9116.383
transcript.whisperx[289].end 9136.722
transcript.whisperx[289].text 我們現在進今天的最後一條是83條有關我們原住民朋友的部分好我們請這個看看我們各位人好請盧憲毅委員好謝謝主席那我們看到我們目前有六個三地三地鄉也就是以前的三地鄉現在的三地區分佈在我們新北市桃園市跟台中市跟高雄
transcript.whisperx[290].start 9137.543
transcript.whisperx[290].end 9160.376
transcript.whisperx[290].text 結果我們可能本來很高興他們是在直轄市的範圍結果10年過去他們所受到的那個財政自由然後去綁架了他們完全沒有辦法進步也就是說我們有實際的數據來看如果剛才高進在跟我們的官員在說的時候他說少了10億然後再補了1億就少了9億可是呢我這邊的資料是如果就相對的人口
transcript.whisperx[291].start 9162.017
transcript.whisperx[291].end 9189.462
transcript.whisperx[291].text 來說金峰鄉的稅率大概3億左右可是呢高雄市的桃園卻只有2億那馬下甚至不到1億他跟人口差不多的達人鄉差了3億左右所以這就是他們的財政之前沒有規劃好的關係所以今天以下的那個修法跟新增的部分可能有高金委員來這邊來代勞因為我時間的關係所以我要先行離開那就麻煩我們高金委員謝謝
transcript.whisperx[292].start 9192.32
transcript.whisperx[292].end 9211.429
transcript.whisperx[292].text 好 謝謝盧縣議委員我們高清委員今天有提出相關的修正動議我們是不是請她說明一下高清委員有請應該都在你們桌上了吧桌上 桌上看一下 謝謝我們部長也有 對啊有啊 有好不好來 這裡來 妳先來吧 好不好
transcript.whisperx[293].start 9215.014
transcript.whisperx[293].end 9242.967
transcript.whisperx[293].text 好 我來說明一下其實我們談到這個83條之三跟83條之七是兩個一併看的我先講一下由來再我們先講一下83條之三的部分那個之三的部分就是說原住民的自治區其實我們原住民在我們這塊土地上已經存在了6000年以上了我們實際上有一套的自治制度
transcript.whisperx[294].start 9243.567
transcript.whisperx[294].end 9268.798
transcript.whisperx[294].text 即便是在日據時期的時候日本人針對原住民的特殊性仍然保持一定的自治制度然後接著我們按照憲法第十條第十二項的規定國家是應該要依照民族意願保障原住民族的地位及政治參與因為這樣所以在我們直轄市升格的時候只有原鄉地區我們的首長是屬於民選的
transcript.whisperx[295].start 9269.958
transcript.whisperx[295].end 9296.613
transcript.whisperx[295].text 所以現在我們剛剛講到的有新北市烏來區桃園市的復興區台中市的和平區高雄市的茂林區高雄市的桃園區高雄市的納瑪夏區這兩個區我們的首長是民選的因此他自治的範圍是非常的清楚如果99年開始我們直轄市升格我們看到當時我們特別要求兩件事情
transcript.whisperx[296].start 9297.173
transcript.whisperx[296].end 9312.374
transcript.whisperx[296].text 第一件事情就是升格了我們必須要維持直轄市原住民族三地區的自治地位自治地位我們在民選上面已經找回來了第二個就是我今天有修正動議
transcript.whisperx[297].start 9315.298
transcript.whisperx[297].end 9326.529
transcript.whisperx[297].text 83-7要求維持直轄市原住民族地區的財政水準跟改制前相同我們看一下我們所謂的自治就應該要有選舉權跟財政權
transcript.whisperx[298].start 9328.911
transcript.whisperx[298].end 9355.097
transcript.whisperx[298].text 但是呢83條之3在原住民區我們少了稅捐跟公共債務的財政事項所以因此第83條之3我們認為我們必須要再回復這兩個部分然後再來83條之7的部分你們手上應該都有看到這個印給大家的
transcript.whisperx[299].start 9355.797
transcript.whisperx[299].end 9358.664
transcript.whisperx[299].text 就是我們的當時原來的條文是說
transcript.whisperx[300].start 9365.207
transcript.whisperx[300].end 9383.673
transcript.whisperx[300].text 這個升格之後呢我們應該要維持以前原住民鄉的財政可是很遺憾的我們看到的是我們升格之後我們原住民區的財政減少了我跟大家報告一下新北市的烏來區99年度的時候我們還有3億
transcript.whisperx[301].start 9388.015
transcript.whisperx[301].end 9391.399
transcript.whisperx[301].text 6,876萬可是到了104年我們減少了6,784萬桃園市的復興區我們以前有8億2千多萬104年的時候只有5億2千7百減少了2億
transcript.whisperx[302].start 9406.855
transcript.whisperx[302].end 9411.316
transcript.whisperx[302].text 和平區呢 以前有5億1千多 104年只有2億5千多 減少了2億5千多高雄市是最離譜的 高雄市我們有三個鄉茂林區以前有1億 那現在只有9千 少了2千多萬
transcript.whisperx[303].start 9425.24
transcript.whisperx[303].end 9443.5
transcript.whisperx[303].text 桃園區以前有5億 現在只有一億 減少了4億多南阿夏 以前有5億 減少了4億所以在高雄市來說 我想今天的部長應該很清楚知道高雄市三個區就將近減少了10億
transcript.whisperx[304].start 9445.001
transcript.whisperx[304].end 9460.071
transcript.whisperx[304].text 所以我們看到直轄市升格以後並沒有給原住民鄉帶來了應該要有的合理的財政分配還有自治事項所以今天有非常多的我們六位的區長
transcript.whisperx[305].start 9461.192
transcript.whisperx[305].end 9476.204
transcript.whisperx[305].text 一併的陳情給我們原住民的立法委員希望能夠在這個部分能夠找回我們自治區應該要有的財政那另外呢我在一月份的時候也邀請我們的財政部
transcript.whisperx[306].start 9477.285
transcript.whisperx[306].end 9506.144
transcript.whisperx[306].text 能夠針對我提的這個部分在三個月之內要提出相關的言議那所以當他們提出相關的言議之後呢所以我看了我今天又提了修正動議修正動議的第83條之7我修我把他們給我的建議文字放在我們的第二項第二第二款第三款那這個部分我也請在場的委員參酌一下那最後我要講的是
transcript.whisperx[307].start 9507.405
transcript.whisperx[307].end 9517.338
transcript.whisperx[307].text 原鄉地区不应该因为直辖市的升格而失去了应该要有的原住民的自治权限以及我们的财政分配
transcript.whisperx[308].start 9524.192
transcript.whisperx[308].end 9544.061
transcript.whisperx[308].text 好 謝謝高金素美委員的這個說明我跟大家補充報告一下在114年1月13號也就是我們上一次討論地方製作法的時候當初的那個協商的內容是這個有關於財政權的部分就是山地鄉財政權的部分這個我們那時候要要求內政部跟財政部要提出相關的報告
transcript.whisperx[309].start 9544.801
transcript.whisperx[309].end 9571.216
transcript.whisperx[309].text 那現在應該有一些資料的準備所以我們請內政部跟財政部分別做出一下補充說明謝謝來請財政部主席 各位委員謝謝高進委員剛才提供的資料那這個這邊的資料應該是指的是稅出啦那當時的條文是講的是說不能低於就是說指甲式改制前各該三地鄉前三年度的稅客收入不是稅出
transcript.whisperx[310].start 9572.196
transcript.whisperx[310].end 9598.888
transcript.whisperx[310].text 那就我們目前掌握的資料現在就是這幾個這個園民區那就是大部分都有增加那污染是增加的比較少比較少但是像高雄台中這些都有一個大幅度的一個增加那這個會後我們待會會再發給大家這是第一點你現在就發給大家好不好發給大家謝謝那另外一點就是
transcript.whisperx[311].start 9601.23
transcript.whisperx[311].end 9622.708
transcript.whisperx[311].text 對原民區的委員的提案的想法我們可以理解基本上要爭取原民區相關的裁員假定這個案子要照高經委員的這樣的一個臨時修正動議朝修正83條之7的方向來做的話
transcript.whisperx[312].start 9623.729
transcript.whisperx[312].end 9638.825
transcript.whisperx[312].text 那我是建議呢那這個其他委員提案修正的83條之383條之9之10之11這4條呢因為這4條就是如果我是建議不要討論就不討論那因為為什麼因為會重複會有重複補助的問題如果你要
transcript.whisperx[313].start 9646.272
transcript.whisperx[313].end 9674.134
transcript.whisperx[313].text 修正83條之一之七然後呢又要把那個稅捐跟這個這個這個在債務那部分拉進去的話就會有重複補助的問題所以我這是第一個建議如果這個方向是各位委員如果是可以支持的話那麼我就在就這個條文83條之七這條文的內容那我再做一個進一步的說明我不知道各位是不是
transcript.whisperx[314].start 9676.144
transcript.whisperx[314].end 9700.773
transcript.whisperx[314].text 可以支持這樣的一個方向也就是說我們就處理83條之七但是呢83條之三83條之九之十之十一就不予討論我是同意的但是你必須要給我保證就是說在83條之七的這些文字裡面它是全部都可以包含它可以涵蓋嘛
transcript.whisperx[315].start 9702.393
transcript.whisperx[315].end 9717.514
transcript.whisperx[315].text 來 財政部好 那這個83條之7的這一部分有幾個地方我要提醒一下就是說在增訂的這第三款裡面那個頭的地方一定要寫到當年度啦當年度一定要加
transcript.whisperx[316].start 9718.413
transcript.whisperx[316].end 9736.549
transcript.whisperx[316].text 那就是第三款第三款慈霞市之中央統籌分配稅款實際分配金額高於通知分配數那麼慈霞市應以次一年度按實際增加比例等等那麼前面加一個當年度來知道說是哪一個年度這是第一個
transcript.whisperx[317].start 9736.909
transcript.whisperx[317].end 9759.152
transcript.whisperx[317].text 直轄市之中央 當年度 直轄市 當年度 OK那另外一個就是說這邊就講說在第三行就是說這個按增加的比例 按增加比例增加對各該3地原住民的補助也就是說呢他就是硬性的規定一定要增加
transcript.whisperx[318].start 9759.873
transcript.whisperx[318].end 9789.033
transcript.whisperx[318].text 但是我就覺得就是說石匣市跟各園民區之間的關係還是要整體的去考量整體去考量那比如說有一些這個市權那麼已經有轉由石匣市在做石匣市在做比如說像這個像這個高雄的這些幼兒園那就已經市府已經在承接了那像桃園它的道路的改善計畫也是由這個市府來承接
transcript.whisperx[319].start 9789.933
transcript.whisperx[319].end 9814.545
transcript.whisperx[319].text 那另外還有他們也有對這個園民區有其他的補助現在補助所以這個可能還是要通盤去考量不要說要硬性的就是可以增加硬性可以增加所以我們是建議說著增著增對各該山地園民區之補助這是第二點說明那第三點就是第二項的部分
transcript.whisperx[320].start 9816.146
transcript.whisperx[320].end 9835.299
transcript.whisperx[320].text 這邊修正說由中央財政主管機關定資那因為地治法是一個地方自治的條例地方自治的一個法律所以這個相關的補助事項那麼現行條文是由直轄市恰桑山地原住民區定資
transcript.whisperx[321].start 9836.34
transcript.whisperx[321].end 9860.417
transcript.whisperx[321].text 所以這個不涉及中央,有中央涉入啦中央不適宜涉入啦這要由直轄市跟原民區來駕商啦這個由他們來協商但是我們財政部當然會就財源這部分會從旁來協助啦從旁來協助那以上簡單的補充說明,謝謝
transcript.whisperx[322].start 9863.178
transcript.whisperx[322].end 9884.106
transcript.whisperx[322].text 市長 您剛剛有一些文字的修正 我大概是沒有意見但是對於第二項的部分 中央財政主管機關訂正我也同意您剛剛說的地方制度法但是我們可不可以把洽商拿掉然後在第83條之7就保障原鄉的六個區
transcript.whisperx[323].start 9885.646
transcript.whisperx[323].end 9914.015
transcript.whisperx[323].text 因為為什麼在原條文裡面大家看一下原條文的83條之七三地原住民區實施自治所需的財源由直轄市依下列因素予以籌設補助並且要維持改制前各該三地相統籌分配財源的水準我們縱使在以前的條文裡面的這個第一項裡面有這樣但是呢在最後一項也是由恰商
transcript.whisperx[324].start 9914.975
transcript.whisperx[324].end 9941.801
transcript.whisperx[324].text 所以因此我們本來是很信任地方政府的但是你要清楚知道地方政府的區長跟市長他們的確是會有一些些的這個要洽商原鄉地區的確是沒有辦法所以我們如果是在第83條之七我剛剛說的第二款第三款裡面都有被保障到的話我們是不是後面就不要再洽商了
transcript.whisperx[325].start 9942.799
transcript.whisperx[325].end 9956.519
transcript.whisperx[325].text 然後我們的財政部以後可以怎麼樣做一個來監督這個地方政府有沒有實際上應該要有給原鄉地區的這些財政分配
transcript.whisperx[326].start 9958.047
transcript.whisperx[326].end 9976.662
transcript.whisperx[326].text 跟委員報告我要問的就是這個請你很直白的回答第二款這部分就是本來是按照那個按照他的這個稅客收入來平均數來算嘛對不對現在你們就是可以大聲一點你的麥克風我們是還聽不太清楚對謝謝
transcript.whisperx[327].start 9981.086
transcript.whisperx[327].end 9996.982
transcript.whisperx[327].text 那麼第二款 第二款那麼委員的建議是改為用稅出預總預算稅出的平均率來算那這一部分我們原則尊重不過部分就是有一些縣市有一些縣市有講到說那麼這個
transcript.whisperx[328].start 9999.761
transcript.whisperx[328].end 10014.198
transcript.whisperx[328].text 有一些呢是比如說它直轄市對各各園民區呢它有很多種補助包括縣統籌分配稅款還有呢計劃型補助款還有其他的協助的裁員
transcript.whisperx[329].start 10015.64
transcript.whisperx[329].end 10043.196
transcript.whisperx[329].text 那另外有一些職權已經由市府來承擔所以他們是建議說設算的基礎如果沒有排除這些項目的話就會造成重複補助的問題這一部分我就覺得他們講的也有道理所以希望職小市的意見也能夠納入參酌所以第二款原則上這個文字我們是沒有意見的 是尊重的
transcript.whisperx[330].start 10044.156
transcript.whisperx[330].end 10068.344
transcript.whisperx[330].text 但是第三款剛才我也報告過就是說不要用增加著增啦就是還是要考慮到讓他們實際的這個指甲市跟各原民區之間的財政的狀況由他們去協商由他們協商因為他們有很多的補助款我們也搞不清楚我們不要說一定要增加一定要增加他搞不好已經早就給他很多了對不對
transcript.whisperx[331].start 10069.344
transcript.whisperx[331].end 10095.776
transcript.whisperx[331].text 而且他很多的業務他已經承擔下來了所以這一部分我是講說不要直接講說增加是著真另外我是覺得地治法中央財政組織不予介入真的是不予介入這個一定要由這個直轄市跟這個園民區來協商但是我剛才也講過就是說在協商過程當中我們財政部可以從旁可以盡量來協助
transcript.whisperx[332].start 10097.267
transcript.whisperx[332].end 10126.179
transcript.whisperx[332].text 怎麼樣從旁協助因為我現在看到的是你們給我的書面報告是新北無意見嘛桃園希望能夠調整至8億然後區公所是也同樣支持修正這個83條高雄的茂林區也說要增加那唯一講的是這個高雄市政府可能有比較多的意見
transcript.whisperx[333].start 10127.419
transcript.whisperx[333].end 10137.25
transcript.whisperx[333].text 所以其實呢各地方好像都都比較沒有意見修這個所以你剛剛說那個佐徵的部分我可以再問清楚佐徵一塊錢也是徵嘛對不對對嘛所以你是保留這個區長跟跟直轄市的這個首長洽商
transcript.whisperx[334].start 10148.851
transcript.whisperx[334].end 10157.163
transcript.whisperx[334].text 等一下好謝謝我們因為剛剛吳世耀委員舉手然後曾天才委員然後我們再請這個財務部這邊再做詳細說明可以嗎好吳世耀委員
transcript.whisperx[335].start 10159.059
transcript.whisperx[335].end 10182.915
transcript.whisperx[335].text 好謝謝主席因為今天是內政跟司法聯席所以我來這邊參與這個修法我想先確認一下資訊的來源因為手上有兩頁資料既然這一83條不管是之三之八之七呀到之八之十一都是要討論都是涉及了對於原鄉的照顧有沒有變少
transcript.whisperx[336].start 10183.735
transcript.whisperx[336].end 10211.145
transcript.whisperx[336].text 因為直轄市的改制這件事情的前提要釐清如果真的是有資源的減少當然我們想辦法來補強這我們努力來討論但這有兩份資料這一份是高金委員的資料嗎好這委員提供好提案委員的資料那這一份是剛剛財政部拿來的嘛對不對所以我想確認一下因為我剛我有聽到次郎這邊說到說其實這個法的規範
transcript.whisperx[337].start 10213.205
transcript.whisperx[337].end 10237.811
transcript.whisperx[337].text 這個補助它是用不得低於說客收入然後你們財政部提供的這個資訊是除了自治財源的補助還有其他的補助然後加總起來如果先看高金委員提案委員的這個資料看起來104年比99年相比看起來確實烏來、復興、和平、茂林、桃園跟納馬巷
transcript.whisperx[338].start 10239.171
transcript.whisperx[338].end 10255.798
transcript.whisperx[338].text 感觉都减少了少则两千五百多万多则四亿这是看到提案委员的资料那当然就让我觉得哇那这样真的是不要亏待原乡那现在看到你们财政部的这一我刚刚按计算机一直在算
transcript.whisperx[339].start 10257.284
transcript.whisperx[339].end 10283.939
transcript.whisperx[339].text 我看到的是从一样的比较基础但你们这是104跟112资料是到112如果112年相减于104年的补助对于新北的乌来区是增加3641万那对于桃园市复兴区是减少的是六个里面唯一减少减少大概7000万然后台中和平区呢自治财源加其他补助增加是9007万
transcript.whisperx[340].start 10285.66
transcript.whisperx[340].end 10312.47
transcript.whisperx[340].text 然後高雄茂林區加總起來增加是三八七三萬那桃園區增加三五六八萬然後那馬下區增加了六百五十九萬如果我沒有算錯的話就說兩個資料有很大解讀的落差所以這個我要確認一下到底對於原鄉的照顧有沒有因為改制而實質我們說實質當然他可能在法的規範可能是減少但是你們會想方設法例去指責是照顧原鄉嗎
transcript.whisperx[341].start 10313.57
transcript.whisperx[341].end 10335.227
transcript.whisperx[341].text 辖區內的園鄉想辦法用其他補助來補強它我們最在乎的對於園鄉的實質的各類的補助到底是哪一個數字是我們討論這個法案要參酌的這是第一件事情因為這個前提確認了我們才能夠進一步來釐清說是不是要修法來協助好這是第一個所以我看到資訊是有很大的落差我想要釐清
transcript.whisperx[342].start 10336.55
transcript.whisperx[342].end 10359.653
transcript.whisperx[342].text 第二個就是說 畢竟這是直轄市的財政負擔啦所以說直轄市政府的意見到底有沒有一致因為我們不能抗人家之慨我們不能修了法 結果直轄市最後做不到所以第二個 直轄市的意見到底是什麼有沒有共識
transcript.whisperx[343].start 10361.092
transcript.whisperx[343].end 10385.371
transcript.whisperx[343].text 第三件事情是你剛剛講的話就像修裁劃法一樣嘛你要從中央增加對地方的預算的預注但是市權有沒有統一有些事情因為直轄市改制之後你剛剛講到高雄的例子有一些誘託的執行是後來就回收到直轄市政府高雄市政府來執行所以市權的統一會
transcript.whisperx[344].start 10388.619
transcript.whisperx[344].end 10393.71
transcript.whisperx[344].text 攸關財政的挹注,有些事情已經市政府一旦亂做了,如果這樣這個衛生這個項目就硬東西
transcript.whisperx[345].start 10397.287
transcript.whisperx[345].end 10424.781
transcript.whisperx[345].text 不好似曾經有去做所以我們不能說再一次財政收支劃分法那個模式跟不可能是一樣你市權沒有統一只是增加預算所以說三個前提第一個預算的增加對於原鄉到底是增加或減少這個數字是我們討論這個法案的前提我要釐清第二個各個職場市政府的意見有沒有整合有沒有共識第三個市權的統一的這個部分可能還是要在細部的討論
transcript.whisperx[346].start 10426.182
transcript.whisperx[346].end 10444.939
transcript.whisperx[346].text 這是我提出來的三個疑問好 謝謝我可以先回答一些第一個這個資料的差異因為高進委員的資料應該是以稅出作為邏輯然後財政部的資料是稅入那現在高進委員修正綜藝版本是要把因為現行條文是用稅入作為母體那高進委員提提稅出
transcript.whisperx[347].start 10445.279
transcript.whisperx[347].end 10472.93
transcript.whisperx[347].text 那沒關係我覺得這一點只要大家有溝通好有一致的平台就OK那第二個各縣政府因為我們之前有要求財政部提報告那現在看起來是都可以接受我目前沒有我剛剛聽高清委員說是沒有沒有反沒有明確反對的意見就是沒有意見的站比較多的多數好沒關係我們請鄭天才委員這個在在座然後我們再請財政部做說明謝謝好這個從剛才的一個會有這樣的一個質疑最主要就是說
transcript.whisperx[348].start 10474.415
transcript.whisperx[348].end 10501.974
transcript.whisperx[348].text 財政部的這個資料啊沒有把99年度你沒有把99年度的資料顯現出來就會讓這個相關的委員會覺得說從104104到112有不一樣啊 還好啊如果你去跟99年度所以啊所以99年度的部分
transcript.whisperx[349].start 10503.655
transcript.whisperx[349].end 10524.221
transcript.whisperx[349].text 確實如果是比較多很多去做一個比較的話就會覺得說確實是要去修正或者是第一個第二個不要一直去強調不要去強調說高雄市有承擔了一部分這業務因為這個修了之後他會還給他
transcript.whisperx[350].start 10526.392
transcript.whisperx[350].end 10545.822
transcript.whisperx[350].text 他會還給他會還給高雄市本來已經做的啊你這個修正之後啊既然你的錢錢增加了他會還給他啊所以這個部分是一個我啊這個一個必然的一個可能性很大啊所以這個部分不必太強調說他現在承接的什麼業務啊因為他
transcript.whisperx[351].start 10546.755
transcript.whisperx[351].end 10564.082
transcript.whisperx[351].text 未來這個變化是怎麼樣市長也會改也會換所以這個部分是我們是從制度面來去解決這個確實是99年度跟現在確實有這樣的很大的落差以上
transcript.whisperx[352].start 10567.682
transcript.whisperx[352].end 10587.203
transcript.whisperx[352].text 對 我再補充一下 因為您剛剛我們看了 因為這個資料是剛剛給我們的我們再看了一下 發現你並不是從99年 你是從104年所以你升格之後 然後你告訴我是有增加現在我再告訴你 我們以前99年 喇嘛下是5億
transcript.whisperx[353].start 10588.922
transcript.whisperx[353].end 10609.978
transcript.whisperx[353].text 我們是5億然後呢你現在說多了8000他還是1.9億啊那4億減少4億裡面的1.9億他還是減少啊市長你不能夠這樣子說啊所以呢重點就是呢我們要改一下就是說在制度上怎麼樣來保障我們這六個區我剛一直講到這個六個區是民選的首長
transcript.whisperx[354].start 10615.262
transcript.whisperx[354].end 10634.587
transcript.whisperx[354].text 他跟其他直轄市升格之後他去派任的首長不一樣他有民權表示他有自治的權限他既然是民選的首長有自治權限他就應該要給他應該要有的財政的保障還沒升格就那麼多錢了升格之後才反而減少
transcript.whisperx[355].start 10636.047
transcript.whisperx[355].end 10651.15
transcript.whisperx[355].text 那你的財政收支花生法也已經增加了然後呢照理說你本來就是應該要增加那我們怎麼樣在制度上面能夠來保障這六個區這是我們今天協商最重要的這個要談的事情好不好謝謝
transcript.whisperx[356].start 10654.841
transcript.whisperx[356].end 10681.028
transcript.whisperx[356].text 好 我們全部做統一回應好不好 謝謝剛才委員提到就是資訊落差的問題我這邊要解釋一下那高金委員提供的這個資料是真的是稅出啦是稅出的資料那我們條文是說你不能不得低於改這個這個前三年
transcript.whisperx[357].start 10685.546
transcript.whisperx[357].end 10700.874
transcript.whisperx[357].text 就不得低於不得低於各該三體項前三年度的稅客收入的平均數所以我們那個資料是是稅客收入來算的這是第一個我們是按照法令的規定來算的這是第一個第二個我們為什麼沒有
transcript.whisperx[358].start 10702.31
transcript.whisperx[358].end 10721.28
transcript.whisperx[358].text 如果要99年的資料當然我們可以找啦但是我們這個修法是103年開始修的所以我們才會從104年開始列舉開始列舉說到底它到底增加多少或者是減少多少這個都清清楚楚這個東西都是數字在說話啦數字在說話這是第二點
transcript.whisperx[359].start 10725.282
transcript.whisperx[359].end 10752.607
transcript.whisperx[359].text 那當然就是剛才講就是說有一些市權要統一的事情那我覺得真的我覺得這蠻重要的因為為什麼因為他們現在石橋市跟園民區已經有在協商一直都有在協商當然就是說園民區也許可能不太滿意但是一直都有在協商那我要講就是說我們要給多少當然市權跟財權一定要並同考量就像我們財
transcript.whisperx[360].start 10753.848
transcript.whisperx[360].end 10761.601
transcript.whisperx[360].text 這個裁判法一樣嘛就是裁選跟這個試選要並同來考量所以這是第三點說明那
transcript.whisperx[361].start 10765.151
transcript.whisperx[361].end 10788.207
transcript.whisperx[361].text 那基本上我們是希望就是說能夠盡量來協助園民鄉在這個大家可以有共識的範圍內盡量協助園民鄉能夠取得足夠的財源來建設但是我們希望就是能夠跟直轄市之間那麼由他們跟直轄市之間要有一個溝通的管道由他們來協商
transcript.whisperx[362].start 10790.208
transcript.whisperx[362].end 10818.7
transcript.whisperx[362].text 但是我們現在也給他一個多的一個機制也就是說你這個我們的時增數時增數就是我們的統合分稅款如果增加的話那麼我們直轄市就要考量這個因素那麼著針對這個園民區的這個補助這是一個我覺得這個把這個因素納進去如果放在法裡面那麼將來呢那麼他在執行的時候就有比較法律依據了
transcript.whisperx[363].start 10820.508
transcript.whisperx[363].end 10826.409
transcript.whisperx[363].text 所以我的修正動力條文是OK的嗎是不是你只是說做文字的修正嗎
transcript.whisperx[364].start 10828.632
transcript.whisperx[364].end 10854.718
transcript.whisperx[364].text OK啊 沒問題啊我們到目前為止當然一些細節一些資料大家還要再做溝通這沒有問題但大概兩個方向嘛第一個方向是大概就只修83條之7對不對這是沒有問題的對不對 財政部我們行政端我就第三款就是剛才我講過就第三款的我再重複一遍就是當年度就是在頭的地方加一個當年度
transcript.whisperx[365].start 10855.68
transcript.whisperx[365].end 10875.279
transcript.whisperx[365].text 那另外增加就寫濁增 叫濁增那另外那個最後第二項還是有資亞市恰桑山地原住民區來訂定這是這個那至於剛才講說稅出那一部分我不知道內政部這邊有沒有意見好 盧部長
transcript.whisperx[366].start 10880.551
transcript.whisperx[366].end 10895.349
transcript.whisperx[366].text 謝謝因為地制法的主管機關是內政部為主所以我們在這個條文裡面寫由中央財政主管機關來定制是一個很奇怪的法律再來就是剛剛有提到就是
transcript.whisperx[367].start 10896.59
transcript.whisperx[367].end 10917.802
transcript.whisperx[367].text 我們在去年的時候已經先就我們若干委員尤其是山地或平地原住民所提的修法的部分那時候還沒有出現高經委員所提的修正動議雖然每一個區公所山地原住民區的區公所都表示無意見或支持
transcript.whisperx[368].start 10918.382
transcript.whisperx[368].end 10938.182
transcript.whisperx[368].text 但是直轄市政府的態度都是保留啦我這邊有一個記錄在這邊包括新北市、桃園市、台中市跟高雄市那大部分所提到的意見那個如果跟財政有關的話剛剛那個次長已經跟各位回應我想大部分市政府的意見會覺得說如果說他們已經在原來的稅客的收入
transcript.whisperx[369].start 10938.803
transcript.whisperx[369].end 10965.869
transcript.whisperx[369].text 已經有補助的話那未來在由市政府的設算裡面恐怕是不要用重複補助為原則啦那這個就沒有在這個條文的文字裡面做修正所以我們會建議說如果要修正這個以這個高金素美委員的這個版本的話第一個就是不能只有寫中央財政主管機關那個縣市政府還是要市政府啦因為都是直轄市
transcript.whisperx[370].start 10967.729
transcript.whisperx[370].end 10986.038
transcript.whisperx[370].text 直轄市還是要列進去然後再來就是說不管是統籌分配款或者是縣市政府的計劃補助款等等這些不能夠重複補助為原則否則這樣子對其他的一個區公所可能會造成一個排擠的效應 謝謝好還有沒有委員要補充的來 吳世耀委員
transcript.whisperx[371].start 11002.906
transcript.whisperx[371].end 11008.518
transcript.whisperx[371].text 想當然而我們六個原鄉的這個區公所當然希望能夠增加
transcript.whisperx[372].start 11009.728
transcript.whisperx[372].end 11028.081
transcript.whisperx[372].text 這也是為什麼原住民的委員來協助提案但畢竟這個裁員本身在做分配在做事權的處理以及分工然後乃至於這個補助不能重複這個主事者還是直轄市
transcript.whisperx[373].start 11029.318
transcript.whisperx[373].end 11057.375
transcript.whisperx[373].text 所以說如果說這個直轄市的意見如果剛剛劉部長所說的從新北桃園台中跟高雄的直轄市都有所保留意見的話那是不是要再跟直轄市政府再溝通一下是不是這樣否則到時候直轄市跳起來我們立法委員休一休直轄市又跳起來來找我們算賬這個是這樣子是是因為我等一下我是在問我是在問那個劉部長這邊
transcript.whisperx[374].start 11064.631
transcript.whisperx[374].end 11082.53
transcript.whisperx[374].text 我想針對吳委員的部分我提一下新北市政府某一項意見按照現行財化法的規定部分稅客收入由縣統籌分配與鄉鎮市如果山地原住民區准用該法規定該部分直轄市無法適用請並考量
transcript.whisperx[375].start 11083.631
transcript.whisperx[375].end 11105.757
transcript.whisperx[375].text 還有就是講到園民區如果有公共債務的權限它的未償餘額比例的設計應該考慮對直轄市公共債務未償比例的影響也並同考量修正公共債務法這個是我們在去年問的時候但是我還是一再強調就是針對高金委員所提的部分我們還沒有機會去問直轄市的市政府
transcript.whisperx[376].start 11106.903
transcript.whisperx[376].end 11127.419
transcript.whisperx[376].text 所以我建議你們應當要去針對因為高金委員的提案其實剛剛財政部也釋出相當的這個彈性但是為了確保這個精確還是要針對新的版本要跟指甲市政府溝通好比較好而且這正是剛剛劉部長的回答也是我自己的
transcript.whisperx[377].start 11128.019
transcript.whisperx[377].end 11147.019
transcript.whisperx[377].text 这个修法的尝试性给我的经验就是说我们修了地质法地质法前一法动选生的一定会有譬如说财化法的部分财政相关或者是刚刚讲公债法的部分因为我们现在在地质法里面增加83条之3
transcript.whisperx[378].start 11148.297
transcript.whisperx[378].end 11166.243
transcript.whisperx[378].text 像好幾個委員的版本還增加這個債務的部分所以說公債法的一併的檢討然後跟地方稅法通則對不對這跟地方稅法通則相關還有地方稅法有關鄉鎮市的規定恐怕都要一併去檢視啦
transcript.whisperx[379].start 11168.224
transcript.whisperx[379].end 11186.513
transcript.whisperx[379].text 刚刚那个刘部长讲到的地方政府刚刚那是桃园还是谁的意见就提到公债的部分所以就我的经验上来讲我觉得地方税法通则也好然后这个公债法相关的部分乃至于跟财务法有没有关系我不知道这要再确认一下
transcript.whisperx[380].start 11188.032
transcript.whisperx[380].end 11205.759
transcript.whisperx[380].text 那這個都應當配套要思考周延會更好所以我是建議內政部應當跟紫霞市針對新的委員的新的版本如果做得到紫霞市也OK的話那當然我們都支持但是要跟紫霞市政府獲得比較好的共識再來處理好謝謝我們鄭天才委員先好不好然後高金委員因為要看我們條文怎麼樣去修正
transcript.whisperx[381].start 11215.453
transcript.whisperx[381].end 11241.878
transcript.whisperx[381].text 因為你說直接一定要去跟執行市政府他當然希望維持現行條文這是必然的那我們既然已經發現這個這個修法的當時修法的所有的一個切施怎麼樣去做一個彌補何況如果我們通過的第二項是維持現行的第二項那就不用擔心了
transcript.whisperx[382].start 11242.885
transcript.whisperx[382].end 11270.434
transcript.whisperx[382].text 因為還是由直轄市恰商山地原住民7所以這個部分我們是不是能夠往前走一步這個而且這個剛才財政部也提到那個第三款也要改為走濁增就很有彈性這個濁增如果大家如果通過的是濁增而且第二項也是恰商對不對
transcript.whisperx[383].start 11271.491
transcript.whisperx[383].end 11289.645
transcript.whisperx[383].text 就就就沒有什麼太太多的異議啊總是要往前啊才有這個山地原住民期才有一個協商的一個一個機會啊都是恰商然後又著真嗎啊是不是我是建議啊能夠朝這個往前邁進一步啊謝謝
transcript.whisperx[384].start 11298.547
transcript.whisperx[384].end 11310.898
transcript.whisperx[384].text 好 我再說明一下事實上今天我的再修正動議修正動議不是平白無故生出來的我這邊先要跟市要委員說一下這個部分是經過1月13號我們在這裡的會議結論這個會議結論是希望我們的財政部三個月之內檢討評估並且向我
transcript.whisperx[385].start 11320.806
transcript.whisperx[385].end 11347.948
transcript.whisperx[385].text 在委員會提出報告那我手上這份報告呢也是財政部跟地方政府去談的所以不是沒有去跟地方政府談過所以呢我今天的修正動議的版本就是按照我們財政部提供給我的就是說研議修正地制法第83條之七第一項第二款的規定明定直轄市依照直轄市
transcript.whisperx[386].start 11349.329
transcript.whisperx[386].end 11377.151
transcript.whisperx[386].text 改制前各該三地鄉前三年度的總預算稅出平均數扣除中央或直轄市額外補助的平均數並考量部分市權已由直轄市負責予以設算補助園民區以避免重複補助問題然後考量今年稅收成長因素亦可研議明定中央統籌稅款實際分配竟然高於通知分配
transcript.whisperx[387].start 11377.811
transcript.whisperx[387].end 11402.789
transcript.whisperx[387].text 述實直轄市應該要在次一年度按照它的增加比率著針對園民區的補助所以我今天的修正動議是完全按照財政部給我的意見剛剛部長的意見我也沒有意見就是我們希望把遊戲規則定起來然後地方政府或者是中央主管機關或者是會同中央財政主管機關一起來洽商我都同意
transcript.whisperx[388].start 11405.771
transcript.whisperx[388].end 11419.696
transcript.whisperx[388].text 好不好所以我必須要講今天的修正動議那麼剛剛講了剛剛那個次長也說了如果我們的修83條之7的話前面之3就可以不要處理了所以就都在這裡處理了以上補充謝謝
transcript.whisperx[389].start 11423.12
transcript.whisperx[389].end 11452.284
transcript.whisperx[389].text 好 我們請部長做最後一次回應然後我們要先下一個小的 次長對不起 次長再做一次回應我們下個結論好不好這個 謝謝各位委員的指教那這個案子其實我們真的有邀請這個直轄市還有園民區來開會啦那直轄市的意見是這樣子直轄市剛才新北市那部分那麼部長也已經有講了他是有他說要並同考量修正公債法但是因為我們現在83條43已經不修了嘛
transcript.whisperx[390].start 11452.944
transcript.whisperx[390].end 11469.612
transcript.whisperx[390].text 所以就沒有這個問題所以我們是把它歸類不反對當時我們是這樣認定那桃園市沒有表達意見沒有表達反對的意見那台中市他是講到說不能重複
transcript.whisperx[391].start 11471.293
transcript.whisperx[391].end 11489.98
transcript.whisperx[391].text 就是剛才我講的不能重複就是說不能又補助然後又把稅簽那些都拿進來他講說不能重複那高雄市呢他說這個不納入就是說這個比照延民區比照鄉鎮市的這個在線不納入這個直轄市的在線
transcript.whisperx[392].start 11490.785
transcript.whisperx[392].end 11510.379
transcript.whisperx[392].text 那這個部分也是因為83條13也不處理的嘛所以沒有這個問題那沒有關係那我想為了慎重起見我是想說我們是不是容許我們再邀集他們再來再確認一次啦在我覺得這樣大家好因為會涉及到他們的
transcript.whisperx[393].start 11511.687
transcript.whisperx[393].end 11533.183
transcript.whisperx[393].text 我們給他們看一下如果可以的話因為今天已經在朝野協商了對不對今天已經在協商了然後呢這個也是你們財政部給的意見所以你的意思是說你現在給的意見地方政府沒有討論嗎
transcript.whisperx[394].start 11538.479
transcript.whisperx[394].end 11551.959
transcript.whisperx[394].text 不是 當時他們開會的時候其實財政部你們就已經告訴地方政府是有這個方向了嘛對啊 所以他們都說沒有意見啊然後你們擔心的那個債務的部分也已經沒有不處理啦
transcript.whisperx[395].start 11565.802
transcript.whisperx[395].end 11586.474
transcript.whisperx[395].text 就看我们如果啊财政部次长的修正的文字啊高金委员如果能够接受的话真的真的没有影响啊因为最主要是第一个他说要着真啊第二个如果还是维持第二项也是恰伤啊
transcript.whisperx[396].start 11587.601
transcript.whisperx[396].end 11608.735
transcript.whisperx[396].text 所以大家就往前一步因為我並沒有看到所謂財政部給高金委員的報告然後現在跟你們一樣我現在看到了這樣但我看到他的評估報告的內容多數的意見都有提到
transcript.whisperx[397].start 11609.81
transcript.whisperx[397].end 11631.378
transcript.whisperx[397].text 不可以重複補助這個要確認所以條文上怎麼去處理他呢而且要綜合檢討要洽商原住民區的檢討補助事宜然後我現在非常RAF的看我看到的不管是地方財政機關的意見所謂地方財政機關包括
transcript.whisperx[398].start 11632.523
transcript.whisperx[398].end 11653.257
transcript.whisperx[398].text 直辖市的包括原乡的我看到的一件事还没有那么确认那主席我是向建议就是说因为今天你还有很多条文就是要下一次再讨论那为求周延就是让他们再去因为今天确实是八七条之七是现在才看到高金委员的版本
transcript.whisperx[399].start 11653.937
transcript.whisperx[399].end 11676.105
transcript.whisperx[399].text 那慰求周圓就下一次你們很快的去處理還排就可以確認啦我覺得這樣比較好因為沒有因為整個還是整個法今天沒有需要說哪一條就先確認嘛好不好請主席做這樣的裁決我覺得周圓是很重要我們confirm清楚confirm清楚我非常擔心指教士最後又跳出來說這個版本跟當初我們研析的時候的版本的內容不盡相同我覺得這樣不行
transcript.whisperx[400].start 11681.047
transcript.whisperx[400].end 11703.103
transcript.whisperx[400].text 好 謝謝吳司長委員那這樣子好不好因為我們今天這個地質法我們當然一次修你也不要說只送一部分然後就拖在那邊很煩所以我就希望我們委員會多走幾次然後能夠盡量達成共識那今天包含前面包含李昆城委員的條文副市長相關的條文都還沒有進入完全確定的狀態嘛那我們這一條至少有一點前進嘛第一我們做成有一個結論第一個叫做
transcript.whisperx[401].start 11703.863
transcript.whisperx[401].end 11730.021
transcript.whisperx[401].text 原則上跟聯名財政權有關的部分我們就只修83條之7嘛其他我們就不予處理對不對那83條之7我們經過剛剛的討論之後也有一個委員會的初步意見那這樣的意見就請財政部、內政部立刻帶回去再做溝通跟資料的補充好不好那原則上我們下次在排案的時候我們就要有明確的方向這樣我們原名的議員這樣子的安排是可以的嗎
transcript.whisperx[402].start 11732.352
transcript.whisperx[402].end 11738.21
transcript.whisperx[402].text 我原則上下一次盤就是兩個禮拜之後財務可以嗎他們會配合啊 OK
transcript.whisperx[403].start 11741.687
transcript.whisperx[403].end 11767.222
transcript.whisperx[403].text 他們趕快去跟那個談但主席我有一個小小小小的修正就是說827條畢竟現在在整個討論的版本裡面有支3有支7有支8有支11當然我們剛剛在場的人的共識是說聚焦就827支783支783支3其他不處理我理解但是因為有其他提案的委員反正下一次會回來嘛這個結論倒是就是因為你剛說
transcript.whisperx[404].start 11768.464
transcript.whisperx[404].end 11780.4
transcript.whisperx[404].text 希望保留一點彈性是不是因為我不知道其他委員提案委員不在因為董事委員有講交給高清委員處理抱歉我們一直以來在內政委員會就是有提案的委員如果我們在討論的時候他沒有來就不予處理了
transcript.whisperx[405].start 11783.524
transcript.whisperx[405].end 11807.636
transcript.whisperx[405].text 那剛剛羅先生委員要離開的時候已經授權給我對授權給我所以呢今天我們就是83條之七好不好那我們也請83條之七財政部請你告訴我就是按照現在我依照財政部的文字的這個部分修正動力的部分再提一份如果按照這樣子的修正那個試算表給我看一下
transcript.whisperx[406].start 11808.516
transcript.whisperx[406].end 11834.164
transcript.whisperx[406].text 好不好我們需要看一下到底改這個這個只是改直轄市跟沒有改直轄市原鄉的這個這個財政的狀況是如何好嗎謝謝好謝謝高經緯其實原則上我會稍微寬一點好但原則上有達成共識我們之前都會列入紀錄好下一次延續的時候我們就原則照這個原則那原則上我們針對原民的部分我們就以83條之7為母體那我要再提醒一下因為還有一個83條之12
transcript.whisperx[407].start 11835.504
transcript.whisperx[407].end 11851.018
transcript.whisperx[407].text 好 這個也請原民跟這個相關的主管機關跟原民委員先做一個溝通因為他試射什麼值等 那更複雜那我是建議在下一次討論之前就先有一個共識這樣我們就可以節省很多時間 好不好好 那今天大概就先到這邊好 我們先簡單宣讀一下這個協商的結論
transcript.whisperx[408].start 11987.963
transcript.whisperx[408].end 12015.956
transcript.whisperx[408].text 好報告聯席委員會我們現在宣讀協商結論33條的部分有一個委員會審查的初步版本好我們下次原則上我們讓他通過好但是下一次做最後的確認然後55、56條跟副市長有關我們保留78條我們也有一個初步的委員會初步討論的版本下一次我們要按照這個版本繼續做延商83條之7一樣按照這個初步保留的版本
transcript.whisperx[409].start 12016.836
transcript.whisperx[409].end 12031.207
transcript.whisperx[409].text 繼續做延商83條12保留好吧那請問各位委員我們就照剛剛的協商結論通過請問有異議沒有好謝謝那我們討論事項所列議案均另定期繼續審查本次會議到此結束現在散會