iVOD / 16596

Field Value
IVOD_ID 16596
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16596
日期 2025-04-16
會議資料.會議代碼 委員會-11-3-15-10
會議資料.會議代碼:str 第11屆第3會期內政委員會第10次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 10
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第3會期內政委員會第10次全體委員會議
影片種類 Full
開始時間 2025-04-16T08:31:51+08:00
結束時間 2025-04-16T11:20:00+08:00
影片長度 02:48:09
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/eeffa975d6a1e3ea9d3c58e6035bf0894eb3296cd325b2f44af80a8cb003b9ba4bb327fc9bda7fd95ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2025-04-16T09:00:00+08:00
會議名稱 立法院第11屆第3會期內政委員會第10次全體委員會議(事由:邀請客家委員會主任委員率同所屬及財團法人客家公共傳播基金會董事長列席報告業務概況,並備質詢。)
委員名稱 完整會議
委員發言時間 08:31:51 - 11:20:00
transcript.pyannote[0].speaker SPEAKER_08
transcript.pyannote[0].start 1981.35846875
transcript.pyannote[0].end 1981.78034375
transcript.pyannote[1].speaker SPEAKER_06
transcript.pyannote[1].start 1983.88971875
transcript.pyannote[1].end 1987.31534375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 1987.92284375
transcript.pyannote[2].end 1990.45409375
transcript.pyannote[3].speaker SPEAKER_06
transcript.pyannote[3].start 1991.04471875
transcript.pyannote[3].end 1995.43221875
transcript.pyannote[4].speaker SPEAKER_16
transcript.pyannote[4].start 1996.32659375
transcript.pyannote[4].end 2005.94534375
transcript.pyannote[5].speaker SPEAKER_16
transcript.pyannote[5].start 2006.73846875
transcript.pyannote[5].end 2020.18784375
transcript.pyannote[6].speaker SPEAKER_16
transcript.pyannote[6].start 2020.71096875
transcript.pyannote[6].end 2027.25846875
transcript.pyannote[7].speaker SPEAKER_16
transcript.pyannote[7].start 2027.51159375
transcript.pyannote[7].end 2029.21596875
transcript.pyannote[8].speaker SPEAKER_16
transcript.pyannote[8].start 2029.58721875
transcript.pyannote[8].end 2032.40534375
transcript.pyannote[9].speaker SPEAKER_16
transcript.pyannote[9].start 2032.72596875
transcript.pyannote[9].end 2037.53534375
transcript.pyannote[10].speaker SPEAKER_16
transcript.pyannote[10].start 2038.22721875
transcript.pyannote[10].end 2055.37221875
transcript.pyannote[11].speaker SPEAKER_16
transcript.pyannote[11].start 2055.82784375
transcript.pyannote[11].end 2059.94534375
transcript.pyannote[12].speaker SPEAKER_16
transcript.pyannote[12].start 2060.48534375
transcript.pyannote[12].end 2063.32034375
transcript.pyannote[13].speaker SPEAKER_16
transcript.pyannote[13].start 2063.59034375
transcript.pyannote[13].end 2070.23909375
transcript.pyannote[14].speaker SPEAKER_16
transcript.pyannote[14].start 2070.69471875
transcript.pyannote[14].end 2079.43596875
transcript.pyannote[15].speaker SPEAKER_16
transcript.pyannote[15].start 2080.07721875
transcript.pyannote[15].end 2081.24159375
transcript.pyannote[16].speaker SPEAKER_16
transcript.pyannote[16].start 2081.64659375
transcript.pyannote[16].end 2096.15909375
transcript.pyannote[17].speaker SPEAKER_06
transcript.pyannote[17].start 2098.01534375
transcript.pyannote[17].end 2098.20096875
transcript.pyannote[18].speaker SPEAKER_06
transcript.pyannote[18].start 2098.42034375
transcript.pyannote[18].end 2101.62659375
transcript.pyannote[19].speaker SPEAKER_06
transcript.pyannote[19].start 2102.58846875
transcript.pyannote[19].end 2103.17909375
transcript.pyannote[20].speaker SPEAKER_06
transcript.pyannote[20].start 2103.63471875
transcript.pyannote[20].end 2110.03034375
transcript.pyannote[21].speaker SPEAKER_16
transcript.pyannote[21].start 2111.21159375
transcript.pyannote[21].end 2120.57721875
transcript.pyannote[22].speaker SPEAKER_06
transcript.pyannote[22].start 2122.24784375
transcript.pyannote[22].end 2129.68971875
transcript.pyannote[23].speaker SPEAKER_06
transcript.pyannote[23].start 2129.97659375
transcript.pyannote[23].end 2130.02721875
transcript.pyannote[24].speaker SPEAKER_06
transcript.pyannote[24].start 2130.07784375
transcript.pyannote[24].end 2132.30534375
transcript.pyannote[25].speaker SPEAKER_06
transcript.pyannote[25].start 2133.79034375
transcript.pyannote[25].end 2133.85784375
transcript.pyannote[26].speaker SPEAKER_06
transcript.pyannote[26].start 2136.18659375
transcript.pyannote[26].end 2138.73471875
transcript.pyannote[27].speaker SPEAKER_06
transcript.pyannote[27].start 2140.89471875
transcript.pyannote[27].end 2141.85659375
transcript.pyannote[28].speaker SPEAKER_06
transcript.pyannote[28].start 2144.06721875
transcript.pyannote[28].end 2145.55221875
transcript.pyannote[29].speaker SPEAKER_06
transcript.pyannote[29].start 2147.76284375
transcript.pyannote[29].end 2151.08721875
transcript.pyannote[30].speaker SPEAKER_06
transcript.pyannote[30].start 2153.36534375
transcript.pyannote[30].end 2157.21284375
transcript.pyannote[31].speaker SPEAKER_06
transcript.pyannote[31].start 2157.78659375
transcript.pyannote[31].end 2158.90034375
transcript.pyannote[32].speaker SPEAKER_06
transcript.pyannote[32].start 2159.54159375
transcript.pyannote[32].end 2166.02159375
transcript.pyannote[33].speaker SPEAKER_06
transcript.pyannote[33].start 2169.51471875
transcript.pyannote[33].end 2169.86909375
transcript.pyannote[34].speaker SPEAKER_06
transcript.pyannote[34].start 2170.81409375
transcript.pyannote[34].end 2175.75846875
transcript.pyannote[35].speaker SPEAKER_06
transcript.pyannote[35].start 2181.91784375
transcript.pyannote[35].end 2182.77846875
transcript.pyannote[36].speaker SPEAKER_04
transcript.pyannote[36].start 2184.98909375
transcript.pyannote[36].end 2185.30971875
transcript.pyannote[37].speaker SPEAKER_04
transcript.pyannote[37].start 2185.61346875
transcript.pyannote[37].end 2186.08596875
transcript.pyannote[38].speaker SPEAKER_04
transcript.pyannote[38].start 2186.65971875
transcript.pyannote[38].end 2188.92096875
transcript.pyannote[39].speaker SPEAKER_04
transcript.pyannote[39].start 2189.25846875
transcript.pyannote[39].end 2190.03471875
transcript.pyannote[40].speaker SPEAKER_04
transcript.pyannote[40].start 2190.43971875
transcript.pyannote[40].end 2207.48346875
transcript.pyannote[41].speaker SPEAKER_04
transcript.pyannote[41].start 2208.04034375
transcript.pyannote[41].end 2220.78096875
transcript.pyannote[42].speaker SPEAKER_04
transcript.pyannote[42].start 2221.23659375
transcript.pyannote[42].end 2223.34596875
transcript.pyannote[43].speaker SPEAKER_04
transcript.pyannote[43].start 2223.51471875
transcript.pyannote[43].end 2225.38784375
transcript.pyannote[44].speaker SPEAKER_04
transcript.pyannote[44].start 2225.48909375
transcript.pyannote[44].end 2227.64909375
transcript.pyannote[45].speaker SPEAKER_04
transcript.pyannote[45].start 2228.05409375
transcript.pyannote[45].end 2236.91346875
transcript.pyannote[46].speaker SPEAKER_04
transcript.pyannote[46].start 2236.94721875
transcript.pyannote[46].end 2244.59159375
transcript.pyannote[47].speaker SPEAKER_04
transcript.pyannote[47].start 2245.35096875
transcript.pyannote[47].end 2262.63096875
transcript.pyannote[48].speaker SPEAKER_04
transcript.pyannote[48].start 2262.81659375
transcript.pyannote[48].end 2310.65721875
transcript.pyannote[49].speaker SPEAKER_04
transcript.pyannote[49].start 2310.91034375
transcript.pyannote[49].end 2311.33221875
transcript.pyannote[50].speaker SPEAKER_04
transcript.pyannote[50].start 2311.66971875
transcript.pyannote[50].end 2325.23721875
transcript.pyannote[51].speaker SPEAKER_04
transcript.pyannote[51].start 2325.30471875
transcript.pyannote[51].end 2338.63596875
transcript.pyannote[52].speaker SPEAKER_04
transcript.pyannote[52].start 2339.14221875
transcript.pyannote[52].end 2342.39909375
transcript.pyannote[53].speaker SPEAKER_04
transcript.pyannote[53].start 2343.09096875
transcript.pyannote[53].end 2344.00221875
transcript.pyannote[54].speaker SPEAKER_04
transcript.pyannote[54].start 2344.18784375
transcript.pyannote[54].end 2349.23346875
transcript.pyannote[55].speaker SPEAKER_04
transcript.pyannote[55].start 2349.36846875
transcript.pyannote[55].end 2358.10971875
transcript.pyannote[56].speaker SPEAKER_04
transcript.pyannote[56].start 2358.90284375
transcript.pyannote[56].end 2359.44284375
transcript.pyannote[57].speaker SPEAKER_04
transcript.pyannote[57].start 2359.66221875
transcript.pyannote[57].end 2363.17221875
transcript.pyannote[58].speaker SPEAKER_04
transcript.pyannote[58].start 2363.47596875
transcript.pyannote[58].end 2368.04909375
transcript.pyannote[59].speaker SPEAKER_04
transcript.pyannote[59].start 2368.45409375
transcript.pyannote[59].end 2371.40721875
transcript.pyannote[60].speaker SPEAKER_04
transcript.pyannote[60].start 2371.71096875
transcript.pyannote[60].end 2373.63471875
transcript.pyannote[61].speaker SPEAKER_04
transcript.pyannote[61].start 2373.87096875
transcript.pyannote[61].end 2375.28846875
transcript.pyannote[62].speaker SPEAKER_04
transcript.pyannote[62].start 2375.44034375
transcript.pyannote[62].end 2377.71846875
transcript.pyannote[63].speaker SPEAKER_04
transcript.pyannote[63].start 2377.87034375
transcript.pyannote[63].end 2381.83596875
transcript.pyannote[64].speaker SPEAKER_04
transcript.pyannote[64].start 2382.84846875
transcript.pyannote[64].end 2388.97409375
transcript.pyannote[65].speaker SPEAKER_04
transcript.pyannote[65].start 2390.15534375
transcript.pyannote[65].end 2392.93971875
transcript.pyannote[66].speaker SPEAKER_04
transcript.pyannote[66].start 2393.47971875
transcript.pyannote[66].end 2398.30596875
transcript.pyannote[67].speaker SPEAKER_04
transcript.pyannote[67].start 2399.16659375
transcript.pyannote[67].end 2405.03909375
transcript.pyannote[68].speaker SPEAKER_04
transcript.pyannote[68].start 2405.37659375
transcript.pyannote[68].end 2407.26659375
transcript.pyannote[69].speaker SPEAKER_04
transcript.pyannote[69].start 2407.80659375
transcript.pyannote[69].end 2411.99159375
transcript.pyannote[70].speaker SPEAKER_04
transcript.pyannote[70].start 2412.36284375
transcript.pyannote[70].end 2414.52284375
transcript.pyannote[71].speaker SPEAKER_04
transcript.pyannote[71].start 2415.24846875
transcript.pyannote[71].end 2417.13846875
transcript.pyannote[72].speaker SPEAKER_04
transcript.pyannote[72].start 2417.15534375
transcript.pyannote[72].end 2423.75346875
transcript.pyannote[73].speaker SPEAKER_04
transcript.pyannote[73].start 2423.97284375
transcript.pyannote[73].end 2441.28659375
transcript.pyannote[74].speaker SPEAKER_04
transcript.pyannote[74].start 2441.99534375
transcript.pyannote[74].end 2448.62721875
transcript.pyannote[75].speaker SPEAKER_04
transcript.pyannote[75].start 2448.99846875
transcript.pyannote[75].end 2457.33471875
transcript.pyannote[76].speaker SPEAKER_04
transcript.pyannote[76].start 2458.24596875
transcript.pyannote[76].end 2466.64971875
transcript.pyannote[77].speaker SPEAKER_04
transcript.pyannote[77].start 2466.90284375
transcript.pyannote[77].end 2467.39221875
transcript.pyannote[78].speaker SPEAKER_04
transcript.pyannote[78].start 2467.61159375
transcript.pyannote[78].end 2471.37471875
transcript.pyannote[79].speaker SPEAKER_04
transcript.pyannote[79].start 2471.81346875
transcript.pyannote[79].end 2476.40346875
transcript.pyannote[80].speaker SPEAKER_04
transcript.pyannote[80].start 2476.50471875
transcript.pyannote[80].end 2484.06471875
transcript.pyannote[81].speaker SPEAKER_04
transcript.pyannote[81].start 2484.45284375
transcript.pyannote[81].end 2489.61659375
transcript.pyannote[82].speaker SPEAKER_04
transcript.pyannote[82].start 2490.17346875
transcript.pyannote[82].end 2495.06721875
transcript.pyannote[83].speaker SPEAKER_04
transcript.pyannote[83].start 2495.43846875
transcript.pyannote[83].end 2510.15346875
transcript.pyannote[84].speaker SPEAKER_04
transcript.pyannote[84].start 2510.65971875
transcript.pyannote[84].end 2527.02846875
transcript.pyannote[85].speaker SPEAKER_04
transcript.pyannote[85].start 2527.60221875
transcript.pyannote[85].end 2530.35284375
transcript.pyannote[86].speaker SPEAKER_04
transcript.pyannote[86].start 2530.45409375
transcript.pyannote[86].end 2546.21534375
transcript.pyannote[87].speaker SPEAKER_04
transcript.pyannote[87].start 2546.51909375
transcript.pyannote[87].end 2557.65659375
transcript.pyannote[88].speaker SPEAKER_04
transcript.pyannote[88].start 2558.28096875
transcript.pyannote[88].end 2566.36409375
transcript.pyannote[89].speaker SPEAKER_04
transcript.pyannote[89].start 2566.46534375
transcript.pyannote[89].end 2570.16096875
transcript.pyannote[90].speaker SPEAKER_04
transcript.pyannote[90].start 2570.58284375
transcript.pyannote[90].end 2572.11846875
transcript.pyannote[91].speaker SPEAKER_04
transcript.pyannote[91].start 2572.55721875
transcript.pyannote[91].end 2572.81034375
transcript.pyannote[92].speaker SPEAKER_04
transcript.pyannote[92].start 2573.24909375
transcript.pyannote[92].end 2575.64534375
transcript.pyannote[93].speaker SPEAKER_04
transcript.pyannote[93].start 2576.23596875
transcript.pyannote[93].end 2582.80034375
transcript.pyannote[94].speaker SPEAKER_04
transcript.pyannote[94].start 2583.81284375
transcript.pyannote[94].end 2584.74096875
transcript.pyannote[95].speaker SPEAKER_04
transcript.pyannote[95].start 2584.89284375
transcript.pyannote[95].end 2586.04034375
transcript.pyannote[96].speaker SPEAKER_04
transcript.pyannote[96].start 2586.41159375
transcript.pyannote[96].end 2593.58346875
transcript.pyannote[97].speaker SPEAKER_04
transcript.pyannote[97].start 2593.90409375
transcript.pyannote[97].end 2604.29909375
transcript.pyannote[98].speaker SPEAKER_04
transcript.pyannote[98].start 2604.67034375
transcript.pyannote[98].end 2605.66596875
transcript.pyannote[99].speaker SPEAKER_04
transcript.pyannote[99].start 2605.96971875
transcript.pyannote[99].end 2606.84721875
transcript.pyannote[100].speaker SPEAKER_04
transcript.pyannote[100].start 2607.40409375
transcript.pyannote[100].end 2623.70534375
transcript.pyannote[101].speaker SPEAKER_04
transcript.pyannote[101].start 2624.19471875
transcript.pyannote[101].end 2624.95409375
transcript.pyannote[102].speaker SPEAKER_04
transcript.pyannote[102].start 2625.30846875
transcript.pyannote[102].end 2626.81034375
transcript.pyannote[103].speaker SPEAKER_04
transcript.pyannote[103].start 2627.01284375
transcript.pyannote[103].end 2627.51909375
transcript.pyannote[104].speaker SPEAKER_04
transcript.pyannote[104].start 2627.77221875
transcript.pyannote[104].end 2630.06721875
transcript.pyannote[105].speaker SPEAKER_04
transcript.pyannote[105].start 2630.48909375
transcript.pyannote[105].end 2631.01221875
transcript.pyannote[106].speaker SPEAKER_04
transcript.pyannote[106].start 2631.23159375
transcript.pyannote[106].end 2634.13409375
transcript.pyannote[107].speaker SPEAKER_04
transcript.pyannote[107].start 2634.18471875
transcript.pyannote[107].end 2638.03221875
transcript.pyannote[108].speaker SPEAKER_04
transcript.pyannote[108].start 2638.47096875
transcript.pyannote[108].end 2638.74096875
transcript.pyannote[109].speaker SPEAKER_04
transcript.pyannote[109].start 2639.50034375
transcript.pyannote[109].end 2640.22596875
transcript.pyannote[110].speaker SPEAKER_04
transcript.pyannote[110].start 2640.81659375
transcript.pyannote[110].end 2648.52846875
transcript.pyannote[111].speaker SPEAKER_04
transcript.pyannote[111].start 2648.66346875
transcript.pyannote[111].end 2649.37221875
transcript.pyannote[112].speaker SPEAKER_04
transcript.pyannote[112].start 2649.74346875
transcript.pyannote[112].end 2668.55909375
transcript.pyannote[113].speaker SPEAKER_04
transcript.pyannote[113].start 2668.89659375
transcript.pyannote[113].end 2689.53471875
transcript.pyannote[114].speaker SPEAKER_04
transcript.pyannote[114].start 2689.95659375
transcript.pyannote[114].end 2696.09909375
transcript.pyannote[115].speaker SPEAKER_04
transcript.pyannote[115].start 2696.40284375
transcript.pyannote[115].end 2699.23784375
transcript.pyannote[116].speaker SPEAKER_04
transcript.pyannote[116].start 2699.69346875
transcript.pyannote[116].end 2701.44846875
transcript.pyannote[117].speaker SPEAKER_04
transcript.pyannote[117].start 2702.08971875
transcript.pyannote[117].end 2703.01784375
transcript.pyannote[118].speaker SPEAKER_04
transcript.pyannote[118].start 2703.25409375
transcript.pyannote[118].end 2704.38471875
transcript.pyannote[119].speaker SPEAKER_04
transcript.pyannote[119].start 2704.95846875
transcript.pyannote[119].end 2707.23659375
transcript.pyannote[120].speaker SPEAKER_04
transcript.pyannote[120].start 2708.14784375
transcript.pyannote[120].end 2709.34596875
transcript.pyannote[121].speaker SPEAKER_04
transcript.pyannote[121].start 2709.76784375
transcript.pyannote[121].end 2747.65221875
transcript.pyannote[122].speaker SPEAKER_04
transcript.pyannote[122].start 2748.05721875
transcript.pyannote[122].end 2752.81596875
transcript.pyannote[123].speaker SPEAKER_04
transcript.pyannote[123].start 2754.65534375
transcript.pyannote[123].end 2755.29659375
transcript.pyannote[124].speaker SPEAKER_04
transcript.pyannote[124].start 2755.88721875
transcript.pyannote[124].end 2772.17159375
transcript.pyannote[125].speaker SPEAKER_04
transcript.pyannote[125].start 2772.66096875
transcript.pyannote[125].end 2797.55159375
transcript.pyannote[126].speaker SPEAKER_04
transcript.pyannote[126].start 2797.66971875
transcript.pyannote[126].end 2801.87159375
transcript.pyannote[127].speaker SPEAKER_04
transcript.pyannote[127].start 2802.36096875
transcript.pyannote[127].end 2810.05596875
transcript.pyannote[128].speaker SPEAKER_04
transcript.pyannote[128].start 2810.25846875
transcript.pyannote[128].end 2813.46471875
transcript.pyannote[129].speaker SPEAKER_04
transcript.pyannote[129].start 2813.54909375
transcript.pyannote[129].end 2817.80159375
transcript.pyannote[130].speaker SPEAKER_04
transcript.pyannote[130].start 2817.85221875
transcript.pyannote[130].end 2820.72096875
transcript.pyannote[131].speaker SPEAKER_04
transcript.pyannote[131].start 2822.52659375
transcript.pyannote[131].end 2823.11721875
transcript.pyannote[132].speaker SPEAKER_04
transcript.pyannote[132].start 2823.21846875
transcript.pyannote[132].end 2833.44471875
transcript.pyannote[133].speaker SPEAKER_04
transcript.pyannote[133].start 2834.08596875
transcript.pyannote[133].end 2856.07409375
transcript.pyannote[134].speaker SPEAKER_04
transcript.pyannote[134].start 2856.52971875
transcript.pyannote[134].end 2856.83346875
transcript.pyannote[135].speaker SPEAKER_04
transcript.pyannote[135].start 2857.27221875
transcript.pyannote[135].end 2870.92409375
transcript.pyannote[136].speaker SPEAKER_04
transcript.pyannote[136].start 2871.14346875
transcript.pyannote[136].end 2871.59909375
transcript.pyannote[137].speaker SPEAKER_04
transcript.pyannote[137].start 2871.71721875
transcript.pyannote[137].end 2876.08784375
transcript.pyannote[138].speaker SPEAKER_04
transcript.pyannote[138].start 2876.20596875
transcript.pyannote[138].end 2876.52659375
transcript.pyannote[139].speaker SPEAKER_04
transcript.pyannote[139].start 2877.37034375
transcript.pyannote[139].end 2877.85971875
transcript.pyannote[140].speaker SPEAKER_04
transcript.pyannote[140].start 2878.31534375
transcript.pyannote[140].end 2889.68909375
transcript.pyannote[141].speaker SPEAKER_04
transcript.pyannote[141].start 2890.17846875
transcript.pyannote[141].end 2894.46471875
transcript.pyannote[142].speaker SPEAKER_04
transcript.pyannote[142].start 2894.92034375
transcript.pyannote[142].end 2896.86096875
transcript.pyannote[143].speaker SPEAKER_04
transcript.pyannote[143].start 2897.53596875
transcript.pyannote[143].end 2899.89846875
transcript.pyannote[144].speaker SPEAKER_04
transcript.pyannote[144].start 2900.13471875
transcript.pyannote[144].end 2907.82971875
transcript.pyannote[145].speaker SPEAKER_04
transcript.pyannote[145].start 2908.26846875
transcript.pyannote[145].end 2911.10346875
transcript.pyannote[146].speaker SPEAKER_04
transcript.pyannote[146].start 2911.40721875
transcript.pyannote[146].end 2917.39784375
transcript.pyannote[147].speaker SPEAKER_04
transcript.pyannote[147].start 2918.46096875
transcript.pyannote[147].end 2923.50659375
transcript.pyannote[148].speaker SPEAKER_04
transcript.pyannote[148].start 2923.77659375
transcript.pyannote[148].end 2931.62346875
transcript.pyannote[149].speaker SPEAKER_04
transcript.pyannote[149].start 2932.41659375
transcript.pyannote[149].end 2933.74971875
transcript.pyannote[150].speaker SPEAKER_04
transcript.pyannote[150].start 2933.95221875
transcript.pyannote[150].end 2935.69034375
transcript.pyannote[151].speaker SPEAKER_04
transcript.pyannote[151].start 2935.99409375
transcript.pyannote[151].end 2937.85034375
transcript.pyannote[152].speaker SPEAKER_04
transcript.pyannote[152].start 2938.30596875
transcript.pyannote[152].end 2947.33409375
transcript.pyannote[153].speaker SPEAKER_06
transcript.pyannote[153].start 2961.15471875
transcript.pyannote[153].end 2970.72284375
transcript.pyannote[154].speaker SPEAKER_06
transcript.pyannote[154].start 2972.52846875
transcript.pyannote[154].end 2980.00409375
transcript.pyannote[155].speaker SPEAKER_06
transcript.pyannote[155].start 2981.50596875
transcript.pyannote[155].end 2983.07534375
transcript.pyannote[156].speaker SPEAKER_06
transcript.pyannote[156].start 2984.44221875
transcript.pyannote[156].end 2987.91846875
transcript.pyannote[157].speaker SPEAKER_06
transcript.pyannote[157].start 2989.11659375
transcript.pyannote[157].end 2996.08596875
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 3004.84409375
transcript.pyannote[158].end 3006.59909375
transcript.pyannote[159].speaker SPEAKER_06
transcript.pyannote[159].start 3006.83534375
transcript.pyannote[159].end 3007.51034375
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 3012.79221875
transcript.pyannote[160].end 3012.80909375
transcript.pyannote[161].speaker SPEAKER_04
transcript.pyannote[161].start 3012.80909375
transcript.pyannote[161].end 3013.51784375
transcript.pyannote[162].speaker SPEAKER_03
transcript.pyannote[162].start 3013.51784375
transcript.pyannote[162].end 3019.79534375
transcript.pyannote[163].speaker SPEAKER_16
transcript.pyannote[163].start 3019.39034375
transcript.pyannote[163].end 3019.42409375
transcript.pyannote[164].speaker SPEAKER_03
transcript.pyannote[164].start 3019.87971875
transcript.pyannote[164].end 3037.32846875
transcript.pyannote[165].speaker SPEAKER_04
transcript.pyannote[165].start 3037.32846875
transcript.pyannote[165].end 3037.59846875
transcript.pyannote[166].speaker SPEAKER_03
transcript.pyannote[166].start 3037.59846875
transcript.pyannote[166].end 3037.80096875
transcript.pyannote[167].speaker SPEAKER_04
transcript.pyannote[167].start 3037.80096875
transcript.pyannote[167].end 3061.96596875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 3047.53784375
transcript.pyannote[168].end 3047.57159375
transcript.pyannote[169].speaker SPEAKER_08
transcript.pyannote[169].start 3047.57159375
transcript.pyannote[169].end 3047.85846875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 3047.85846875
transcript.pyannote[170].end 3047.92596875
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 3051.85784375
transcript.pyannote[171].end 3051.87471875
transcript.pyannote[172].speaker SPEAKER_08
transcript.pyannote[172].start 3051.87471875
transcript.pyannote[172].end 3053.00534375
transcript.pyannote[173].speaker SPEAKER_03
transcript.pyannote[173].start 3061.96596875
transcript.pyannote[173].end 3076.34346875
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 3076.47846875
transcript.pyannote[174].end 3093.64034375
transcript.pyannote[175].speaker SPEAKER_04
transcript.pyannote[175].start 3093.89346875
transcript.pyannote[175].end 3104.47409375
transcript.pyannote[176].speaker SPEAKER_03
transcript.pyannote[176].start 3104.47409375
transcript.pyannote[176].end 3187.98846875
transcript.pyannote[177].speaker SPEAKER_04
transcript.pyannote[177].start 3104.49096875
transcript.pyannote[177].end 3105.25034375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 3146.03721875
transcript.pyannote[178].end 3146.62784375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 3147.74159375
transcript.pyannote[179].end 3148.14659375
transcript.pyannote[180].speaker SPEAKER_08
transcript.pyannote[180].start 3173.54346875
transcript.pyannote[180].end 3173.57721875
transcript.pyannote[181].speaker SPEAKER_08
transcript.pyannote[181].start 3173.61096875
transcript.pyannote[181].end 3173.96534375
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 3188.46096875
transcript.pyannote[182].end 3190.30034375
transcript.pyannote[183].speaker SPEAKER_03
transcript.pyannote[183].start 3190.60409375
transcript.pyannote[183].end 3196.51034375
transcript.pyannote[184].speaker SPEAKER_04
transcript.pyannote[184].start 3196.51034375
transcript.pyannote[184].end 3196.54409375
transcript.pyannote[185].speaker SPEAKER_04
transcript.pyannote[185].start 3196.91534375
transcript.pyannote[185].end 3196.93221875
transcript.pyannote[186].speaker SPEAKER_03
transcript.pyannote[186].start 3196.93221875
transcript.pyannote[186].end 3197.03346875
transcript.pyannote[187].speaker SPEAKER_04
transcript.pyannote[187].start 3197.03346875
transcript.pyannote[187].end 3209.38596875
transcript.pyannote[188].speaker SPEAKER_03
transcript.pyannote[188].start 3198.56909375
transcript.pyannote[188].end 3200.88096875
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 3202.06221875
transcript.pyannote[189].end 3202.33221875
transcript.pyannote[190].speaker SPEAKER_04
transcript.pyannote[190].start 3209.55471875
transcript.pyannote[190].end 3215.73096875
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 3215.73096875
transcript.pyannote[191].end 3227.59409375
transcript.pyannote[192].speaker SPEAKER_04
transcript.pyannote[192].start 3216.03471875
transcript.pyannote[192].end 3217.08096875
transcript.pyannote[193].speaker SPEAKER_04
transcript.pyannote[193].start 3222.61596875
transcript.pyannote[193].end 3223.35846875
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 3228.62346875
transcript.pyannote[194].end 3240.03096875
transcript.pyannote[195].speaker SPEAKER_04
transcript.pyannote[195].start 3240.03096875
transcript.pyannote[195].end 3267.16596875
transcript.pyannote[196].speaker SPEAKER_14
transcript.pyannote[196].start 3242.05596875
transcript.pyannote[196].end 3242.83221875
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 3242.83221875
transcript.pyannote[197].end 3242.86596875
transcript.pyannote[198].speaker SPEAKER_03
transcript.pyannote[198].start 3265.68096875
transcript.pyannote[198].end 3302.60346875
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 3303.00846875
transcript.pyannote[199].end 3339.99846875
transcript.pyannote[200].speaker SPEAKER_04
transcript.pyannote[200].start 3303.66659375
transcript.pyannote[200].end 3304.03784375
transcript.pyannote[201].speaker SPEAKER_08
transcript.pyannote[201].start 3304.03784375
transcript.pyannote[201].end 3304.13909375
transcript.pyannote[202].speaker SPEAKER_04
transcript.pyannote[202].start 3304.13909375
transcript.pyannote[202].end 3304.25721875
transcript.pyannote[203].speaker SPEAKER_03
transcript.pyannote[203].start 3340.60596875
transcript.pyannote[203].end 3359.33721875
transcript.pyannote[204].speaker SPEAKER_03
transcript.pyannote[204].start 3359.94471875
transcript.pyannote[204].end 3362.84721875
transcript.pyannote[205].speaker SPEAKER_04
transcript.pyannote[205].start 3362.98221875
transcript.pyannote[205].end 3363.47159375
transcript.pyannote[206].speaker SPEAKER_04
transcript.pyannote[206].start 3363.96096875
transcript.pyannote[206].end 3369.24284375
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 3368.01096875
transcript.pyannote[207].end 3369.68159375
transcript.pyannote[208].speaker SPEAKER_04
transcript.pyannote[208].start 3369.68159375
transcript.pyannote[208].end 3369.78284375
transcript.pyannote[209].speaker SPEAKER_03
transcript.pyannote[209].start 3369.78284375
transcript.pyannote[209].end 3369.88409375
transcript.pyannote[210].speaker SPEAKER_04
transcript.pyannote[210].start 3369.88409375
transcript.pyannote[210].end 3369.95159375
transcript.pyannote[211].speaker SPEAKER_03
transcript.pyannote[211].start 3369.95159375
transcript.pyannote[211].end 3442.07534375
transcript.pyannote[212].speaker SPEAKER_03
transcript.pyannote[212].start 3442.73346875
transcript.pyannote[212].end 3448.43721875
transcript.pyannote[213].speaker SPEAKER_04
transcript.pyannote[213].start 3448.43721875
transcript.pyannote[213].end 3448.74096875
transcript.pyannote[214].speaker SPEAKER_03
transcript.pyannote[214].start 3448.47096875
transcript.pyannote[214].end 3448.65659375
transcript.pyannote[215].speaker SPEAKER_03
transcript.pyannote[215].start 3448.74096875
transcript.pyannote[215].end 3448.82534375
transcript.pyannote[216].speaker SPEAKER_04
transcript.pyannote[216].start 3448.82534375
transcript.pyannote[216].end 3457.97159375
transcript.pyannote[217].speaker SPEAKER_03
transcript.pyannote[217].start 3456.01409375
transcript.pyannote[217].end 3456.62159375
transcript.pyannote[218].speaker SPEAKER_03
transcript.pyannote[218].start 3457.97159375
transcript.pyannote[218].end 3481.44471875
transcript.pyannote[219].speaker SPEAKER_03
transcript.pyannote[219].start 3481.79909375
transcript.pyannote[219].end 3497.03721875
transcript.pyannote[220].speaker SPEAKER_04
transcript.pyannote[220].start 3497.03721875
transcript.pyannote[220].end 3504.07409375
transcript.pyannote[221].speaker SPEAKER_04
transcript.pyannote[221].start 3504.66471875
transcript.pyannote[221].end 3505.40721875
transcript.pyannote[222].speaker SPEAKER_03
transcript.pyannote[222].start 3505.40721875
transcript.pyannote[222].end 3529.16721875
transcript.pyannote[223].speaker SPEAKER_04
transcript.pyannote[223].start 3528.01971875
transcript.pyannote[223].end 3529.09971875
transcript.pyannote[224].speaker SPEAKER_04
transcript.pyannote[224].start 3529.16721875
transcript.pyannote[224].end 3529.47096875
transcript.pyannote[225].speaker SPEAKER_03
transcript.pyannote[225].start 3529.40346875
transcript.pyannote[225].end 3536.71034375
transcript.pyannote[226].speaker SPEAKER_04
transcript.pyannote[226].start 3531.04034375
transcript.pyannote[226].end 3531.95159375
transcript.pyannote[227].speaker SPEAKER_06
transcript.pyannote[227].start 3543.17346875
transcript.pyannote[227].end 3544.28721875
transcript.pyannote[228].speaker SPEAKER_11
transcript.pyannote[228].start 3553.28159375
transcript.pyannote[228].end 3557.33159375
transcript.pyannote[229].speaker SPEAKER_11
transcript.pyannote[229].start 3558.47909375
transcript.pyannote[229].end 3558.98534375
transcript.pyannote[230].speaker SPEAKER_04
transcript.pyannote[230].start 3562.86659375
transcript.pyannote[230].end 3563.84534375
transcript.pyannote[231].speaker SPEAKER_11
transcript.pyannote[231].start 3564.36846875
transcript.pyannote[231].end 3567.87846875
transcript.pyannote[232].speaker SPEAKER_11
transcript.pyannote[232].start 3568.43534375
transcript.pyannote[232].end 3633.35346875
transcript.pyannote[233].speaker SPEAKER_11
transcript.pyannote[233].start 3633.99471875
transcript.pyannote[233].end 3682.20659375
transcript.pyannote[234].speaker SPEAKER_11
transcript.pyannote[234].start 3682.72971875
transcript.pyannote[234].end 3684.36659375
transcript.pyannote[235].speaker SPEAKER_11
transcript.pyannote[235].start 3684.70409375
transcript.pyannote[235].end 3693.24284375
transcript.pyannote[236].speaker SPEAKER_04
transcript.pyannote[236].start 3693.54659375
transcript.pyannote[236].end 3719.33159375
transcript.pyannote[237].speaker SPEAKER_11
transcript.pyannote[237].start 3720.32721875
transcript.pyannote[237].end 3734.11409375
transcript.pyannote[238].speaker SPEAKER_04
transcript.pyannote[238].start 3734.31659375
transcript.pyannote[238].end 3737.33721875
transcript.pyannote[239].speaker SPEAKER_04
transcript.pyannote[239].start 3737.94471875
transcript.pyannote[239].end 3738.72096875
transcript.pyannote[240].speaker SPEAKER_11
transcript.pyannote[240].start 3738.45096875
transcript.pyannote[240].end 3739.85159375
transcript.pyannote[241].speaker SPEAKER_04
transcript.pyannote[241].start 3739.96971875
transcript.pyannote[241].end 3743.46284375
transcript.pyannote[242].speaker SPEAKER_11
transcript.pyannote[242].start 3740.83034375
transcript.pyannote[242].end 3808.65096875
transcript.pyannote[243].speaker SPEAKER_04
transcript.pyannote[243].start 3808.95471875
transcript.pyannote[243].end 3834.53721875
transcript.pyannote[244].speaker SPEAKER_11
transcript.pyannote[244].start 3834.79034375
transcript.pyannote[244].end 3837.00096875
transcript.pyannote[245].speaker SPEAKER_04
transcript.pyannote[245].start 3834.84096875
transcript.pyannote[245].end 3834.87471875
transcript.pyannote[246].speaker SPEAKER_04
transcript.pyannote[246].start 3834.97596875
transcript.pyannote[246].end 3835.46534375
transcript.pyannote[247].speaker SPEAKER_04
transcript.pyannote[247].start 3836.96721875
transcript.pyannote[247].end 3841.87784375
transcript.pyannote[248].speaker SPEAKER_11
transcript.pyannote[248].start 3842.08034375
transcript.pyannote[248].end 3851.98596875
transcript.pyannote[249].speaker SPEAKER_11
transcript.pyannote[249].start 3852.47534375
transcript.pyannote[249].end 3861.58784375
transcript.pyannote[250].speaker SPEAKER_11
transcript.pyannote[250].start 3862.46534375
transcript.pyannote[250].end 3878.12534375
transcript.pyannote[251].speaker SPEAKER_04
transcript.pyannote[251].start 3878.10846875
transcript.pyannote[251].end 3878.46284375
transcript.pyannote[252].speaker SPEAKER_11
transcript.pyannote[252].start 3878.32784375
transcript.pyannote[252].end 3879.42471875
transcript.pyannote[253].speaker SPEAKER_04
transcript.pyannote[253].start 3878.88471875
transcript.pyannote[253].end 3889.58346875
transcript.pyannote[254].speaker SPEAKER_11
transcript.pyannote[254].start 3890.03909375
transcript.pyannote[254].end 3910.23846875
transcript.pyannote[255].speaker SPEAKER_04
transcript.pyannote[255].start 3910.59284375
transcript.pyannote[255].end 3917.30909375
transcript.pyannote[256].speaker SPEAKER_04
transcript.pyannote[256].start 3917.37659375
transcript.pyannote[256].end 3917.78159375
transcript.pyannote[257].speaker SPEAKER_11
transcript.pyannote[257].start 3917.84909375
transcript.pyannote[257].end 3974.26221875
transcript.pyannote[258].speaker SPEAKER_11
transcript.pyannote[258].start 3974.36346875
transcript.pyannote[258].end 3985.99034375
transcript.pyannote[259].speaker SPEAKER_04
transcript.pyannote[259].start 3985.99034375
transcript.pyannote[259].end 3994.83284375
transcript.pyannote[260].speaker SPEAKER_04
transcript.pyannote[260].start 3995.03534375
transcript.pyannote[260].end 4002.91596875
transcript.pyannote[261].speaker SPEAKER_04
transcript.pyannote[261].start 4003.01721875
transcript.pyannote[261].end 4041.12096875
transcript.pyannote[262].speaker SPEAKER_04
transcript.pyannote[262].start 4041.22221875
transcript.pyannote[262].end 4054.90784375
transcript.pyannote[263].speaker SPEAKER_04
transcript.pyannote[263].start 4055.22846875
transcript.pyannote[263].end 4068.61034375
transcript.pyannote[264].speaker SPEAKER_11
transcript.pyannote[264].start 4067.86784375
transcript.pyannote[264].end 4078.92096875
transcript.pyannote[265].speaker SPEAKER_04
transcript.pyannote[265].start 4074.49971875
transcript.pyannote[265].end 4075.22534375
transcript.pyannote[266].speaker SPEAKER_04
transcript.pyannote[266].start 4079.15721875
transcript.pyannote[266].end 4087.40909375
transcript.pyannote[267].speaker SPEAKER_04
transcript.pyannote[267].start 4087.76346875
transcript.pyannote[267].end 4088.97846875
transcript.pyannote[268].speaker SPEAKER_11
transcript.pyannote[268].start 4087.96596875
transcript.pyannote[268].end 4090.05846875
transcript.pyannote[269].speaker SPEAKER_04
transcript.pyannote[269].start 4090.05846875
transcript.pyannote[269].end 4093.01159375
transcript.pyannote[270].speaker SPEAKER_04
transcript.pyannote[270].start 4093.45034375
transcript.pyannote[270].end 4094.93534375
transcript.pyannote[271].speaker SPEAKER_11
transcript.pyannote[271].start 4095.30659375
transcript.pyannote[271].end 4097.51721875
transcript.pyannote[272].speaker SPEAKER_04
transcript.pyannote[272].start 4096.40346875
transcript.pyannote[272].end 4098.54659375
transcript.pyannote[273].speaker SPEAKER_11
transcript.pyannote[273].start 4098.07409375
transcript.pyannote[273].end 4100.65596875
transcript.pyannote[274].speaker SPEAKER_04
transcript.pyannote[274].start 4100.63909375
transcript.pyannote[274].end 4109.78534375
transcript.pyannote[275].speaker SPEAKER_11
transcript.pyannote[275].start 4100.97659375
transcript.pyannote[275].end 4102.09034375
transcript.pyannote[276].speaker SPEAKER_04
transcript.pyannote[276].start 4110.54471875
transcript.pyannote[276].end 4112.28284375
transcript.pyannote[277].speaker SPEAKER_11
transcript.pyannote[277].start 4111.54034375
transcript.pyannote[277].end 4114.96596875
transcript.pyannote[278].speaker SPEAKER_04
transcript.pyannote[278].start 4113.02534375
transcript.pyannote[278].end 4114.10534375
transcript.pyannote[279].speaker SPEAKER_04
transcript.pyannote[279].start 4114.74659375
transcript.pyannote[279].end 4115.01659375
transcript.pyannote[280].speaker SPEAKER_11
transcript.pyannote[280].start 4115.23596875
transcript.pyannote[280].end 4156.66409375
transcript.pyannote[281].speaker SPEAKER_04
transcript.pyannote[281].start 4156.64721875
transcript.pyannote[281].end 4162.58721875
transcript.pyannote[282].speaker SPEAKER_11
transcript.pyannote[282].start 4162.90784375
transcript.pyannote[282].end 4167.24471875
transcript.pyannote[283].speaker SPEAKER_04
transcript.pyannote[283].start 4166.63721875
transcript.pyannote[283].end 4168.22346875
transcript.pyannote[284].speaker SPEAKER_01
transcript.pyannote[284].start 4171.53096875
transcript.pyannote[284].end 4172.61096875
transcript.pyannote[285].speaker SPEAKER_12
transcript.pyannote[285].start 4173.04971875
transcript.pyannote[285].end 4173.50534375
transcript.pyannote[286].speaker SPEAKER_13
transcript.pyannote[286].start 4180.25534375
transcript.pyannote[286].end 4181.75721875
transcript.pyannote[287].speaker SPEAKER_01
transcript.pyannote[287].start 4181.97659375
transcript.pyannote[287].end 4182.51659375
transcript.pyannote[288].speaker SPEAKER_13
transcript.pyannote[288].start 4187.59596875
transcript.pyannote[288].end 4188.37221875
transcript.pyannote[289].speaker SPEAKER_13
transcript.pyannote[289].start 4189.24971875
transcript.pyannote[289].end 4190.93721875
transcript.pyannote[290].speaker SPEAKER_13
transcript.pyannote[290].start 4191.15659375
transcript.pyannote[290].end 4195.00409375
transcript.pyannote[291].speaker SPEAKER_13
transcript.pyannote[291].start 4195.57784375
transcript.pyannote[291].end 4196.65784375
transcript.pyannote[292].speaker SPEAKER_13
transcript.pyannote[292].start 4197.68721875
transcript.pyannote[292].end 4199.59409375
transcript.pyannote[293].speaker SPEAKER_13
transcript.pyannote[293].start 4199.96534375
transcript.pyannote[293].end 4202.19284375
transcript.pyannote[294].speaker SPEAKER_13
transcript.pyannote[294].start 4202.47971875
transcript.pyannote[294].end 4205.21346875
transcript.pyannote[295].speaker SPEAKER_13
transcript.pyannote[295].start 4205.90534375
transcript.pyannote[295].end 4208.09909375
transcript.pyannote[296].speaker SPEAKER_13
transcript.pyannote[296].start 4208.35221875
transcript.pyannote[296].end 4209.51659375
transcript.pyannote[297].speaker SPEAKER_13
transcript.pyannote[297].start 4210.00596875
transcript.pyannote[297].end 4210.93409375
transcript.pyannote[298].speaker SPEAKER_13
transcript.pyannote[298].start 4211.47409375
transcript.pyannote[298].end 4212.19971875
transcript.pyannote[299].speaker SPEAKER_13
transcript.pyannote[299].start 4213.19534375
transcript.pyannote[299].end 4215.03471875
transcript.pyannote[300].speaker SPEAKER_13
transcript.pyannote[300].start 4215.50721875
transcript.pyannote[300].end 4219.69221875
transcript.pyannote[301].speaker SPEAKER_13
transcript.pyannote[301].start 4220.38409375
transcript.pyannote[301].end 4221.63284375
transcript.pyannote[302].speaker SPEAKER_13
transcript.pyannote[302].start 4221.95346875
transcript.pyannote[302].end 4223.08409375
transcript.pyannote[303].speaker SPEAKER_13
transcript.pyannote[303].start 4224.31596875
transcript.pyannote[303].end 4227.10034375
transcript.pyannote[304].speaker SPEAKER_13
transcript.pyannote[304].start 4227.38721875
transcript.pyannote[304].end 4229.78346875
transcript.pyannote[305].speaker SPEAKER_13
transcript.pyannote[305].start 4230.67784375
transcript.pyannote[305].end 4233.69846875
transcript.pyannote[306].speaker SPEAKER_13
transcript.pyannote[306].start 4234.18784375
transcript.pyannote[306].end 4234.62659375
transcript.pyannote[307].speaker SPEAKER_13
transcript.pyannote[307].start 4235.58846875
transcript.pyannote[307].end 4240.56659375
transcript.pyannote[308].speaker SPEAKER_13
transcript.pyannote[308].start 4241.17409375
transcript.pyannote[308].end 4242.97971875
transcript.pyannote[309].speaker SPEAKER_13
transcript.pyannote[309].start 4243.45221875
transcript.pyannote[309].end 4244.05971875
transcript.pyannote[310].speaker SPEAKER_13
transcript.pyannote[310].start 4244.63346875
transcript.pyannote[310].end 4253.98221875
transcript.pyannote[311].speaker SPEAKER_13
transcript.pyannote[311].start 4254.62346875
transcript.pyannote[311].end 4256.22659375
transcript.pyannote[312].speaker SPEAKER_13
transcript.pyannote[312].start 4257.52596875
transcript.pyannote[312].end 4258.60596875
transcript.pyannote[313].speaker SPEAKER_13
transcript.pyannote[313].start 4259.51721875
transcript.pyannote[313].end 4260.93471875
transcript.pyannote[314].speaker SPEAKER_13
transcript.pyannote[314].start 4261.71096875
transcript.pyannote[314].end 4264.54596875
transcript.pyannote[315].speaker SPEAKER_13
transcript.pyannote[315].start 4264.96784375
transcript.pyannote[315].end 4276.44284375
transcript.pyannote[316].speaker SPEAKER_13
transcript.pyannote[316].start 4276.96596875
transcript.pyannote[316].end 4280.88096875
transcript.pyannote[317].speaker SPEAKER_13
transcript.pyannote[317].start 4281.21846875
transcript.pyannote[317].end 4284.89721875
transcript.pyannote[318].speaker SPEAKER_13
transcript.pyannote[318].start 4286.04471875
transcript.pyannote[318].end 4287.74909375
transcript.pyannote[319].speaker SPEAKER_13
transcript.pyannote[319].start 4288.35659375
transcript.pyannote[319].end 4296.50721875
transcript.pyannote[320].speaker SPEAKER_13
transcript.pyannote[320].start 4297.14846875
transcript.pyannote[320].end 4298.39721875
transcript.pyannote[321].speaker SPEAKER_13
transcript.pyannote[321].start 4298.80221875
transcript.pyannote[321].end 4313.38221875
transcript.pyannote[322].speaker SPEAKER_13
transcript.pyannote[322].start 4313.82096875
transcript.pyannote[322].end 4320.33471875
transcript.pyannote[323].speaker SPEAKER_04
transcript.pyannote[323].start 4319.18721875
transcript.pyannote[323].end 4319.49096875
transcript.pyannote[324].speaker SPEAKER_04
transcript.pyannote[324].start 4320.33471875
transcript.pyannote[324].end 4356.26159375
transcript.pyannote[325].speaker SPEAKER_03
transcript.pyannote[325].start 4329.49784375
transcript.pyannote[325].end 4329.98721875
transcript.pyannote[326].speaker SPEAKER_13
transcript.pyannote[326].start 4356.85221875
transcript.pyannote[326].end 4357.20659375
transcript.pyannote[327].speaker SPEAKER_13
transcript.pyannote[327].start 4357.34159375
transcript.pyannote[327].end 4361.99909375
transcript.pyannote[328].speaker SPEAKER_13
transcript.pyannote[328].start 4362.28596875
transcript.pyannote[328].end 4377.72659375
transcript.pyannote[329].speaker SPEAKER_13
transcript.pyannote[329].start 4377.74346875
transcript.pyannote[329].end 4379.48159375
transcript.pyannote[330].speaker SPEAKER_13
transcript.pyannote[330].start 4380.05534375
transcript.pyannote[330].end 4381.92846875
transcript.pyannote[331].speaker SPEAKER_13
transcript.pyannote[331].start 4382.26596875
transcript.pyannote[331].end 4383.24471875
transcript.pyannote[332].speaker SPEAKER_13
transcript.pyannote[332].start 4383.98721875
transcript.pyannote[332].end 4384.49346875
transcript.pyannote[333].speaker SPEAKER_13
transcript.pyannote[333].start 4384.93221875
transcript.pyannote[333].end 4392.89721875
transcript.pyannote[334].speaker SPEAKER_04
transcript.pyannote[334].start 4392.71159375
transcript.pyannote[334].end 4429.02659375
transcript.pyannote[335].speaker SPEAKER_13
transcript.pyannote[335].start 4399.51221875
transcript.pyannote[335].end 4399.98471875
transcript.pyannote[336].speaker SPEAKER_04
transcript.pyannote[336].start 4429.39784375
transcript.pyannote[336].end 4429.70159375
transcript.pyannote[337].speaker SPEAKER_13
transcript.pyannote[337].start 4430.19096875
transcript.pyannote[337].end 4447.74096875
transcript.pyannote[338].speaker SPEAKER_13
transcript.pyannote[338].start 4448.11221875
transcript.pyannote[338].end 4455.80721875
transcript.pyannote[339].speaker SPEAKER_13
transcript.pyannote[339].start 4456.06034375
transcript.pyannote[339].end 4468.14284375
transcript.pyannote[340].speaker SPEAKER_08
transcript.pyannote[340].start 4459.87409375
transcript.pyannote[340].end 4460.21159375
transcript.pyannote[341].speaker SPEAKER_08
transcript.pyannote[341].start 4466.33721875
transcript.pyannote[341].end 4466.89409375
transcript.pyannote[342].speaker SPEAKER_13
transcript.pyannote[342].start 4468.44659375
transcript.pyannote[342].end 4471.21409375
transcript.pyannote[343].speaker SPEAKER_13
transcript.pyannote[343].start 4471.48409375
transcript.pyannote[343].end 4473.05346875
transcript.pyannote[344].speaker SPEAKER_13
transcript.pyannote[344].start 4473.71159375
transcript.pyannote[344].end 4475.95596875
transcript.pyannote[345].speaker SPEAKER_13
transcript.pyannote[345].start 4476.47909375
transcript.pyannote[345].end 4482.21659375
transcript.pyannote[346].speaker SPEAKER_13
transcript.pyannote[346].start 4482.65534375
transcript.pyannote[346].end 4485.03471875
transcript.pyannote[347].speaker SPEAKER_13
transcript.pyannote[347].start 4485.40596875
transcript.pyannote[347].end 4487.14409375
transcript.pyannote[348].speaker SPEAKER_13
transcript.pyannote[348].start 4487.41409375
transcript.pyannote[348].end 4491.90284375
transcript.pyannote[349].speaker SPEAKER_13
transcript.pyannote[349].start 4492.24034375
transcript.pyannote[349].end 4492.88159375
transcript.pyannote[350].speaker SPEAKER_13
transcript.pyannote[350].start 4493.55659375
transcript.pyannote[350].end 4496.08784375
transcript.pyannote[351].speaker SPEAKER_13
transcript.pyannote[351].start 4496.69534375
transcript.pyannote[351].end 4500.79596875
transcript.pyannote[352].speaker SPEAKER_13
transcript.pyannote[352].start 4501.03221875
transcript.pyannote[352].end 4506.51659375
transcript.pyannote[353].speaker SPEAKER_13
transcript.pyannote[353].start 4506.75284375
transcript.pyannote[353].end 4507.98471875
transcript.pyannote[354].speaker SPEAKER_13
transcript.pyannote[354].start 4508.37284375
transcript.pyannote[354].end 4514.68409375
transcript.pyannote[355].speaker SPEAKER_13
transcript.pyannote[355].start 4515.00471875
transcript.pyannote[355].end 4516.87784375
transcript.pyannote[356].speaker SPEAKER_13
transcript.pyannote[356].start 4517.01284375
transcript.pyannote[356].end 4527.08721875
transcript.pyannote[357].speaker SPEAKER_13
transcript.pyannote[357].start 4527.37409375
transcript.pyannote[357].end 4528.43721875
transcript.pyannote[358].speaker SPEAKER_13
transcript.pyannote[358].start 4528.80846875
transcript.pyannote[358].end 4529.60159375
transcript.pyannote[359].speaker SPEAKER_13
transcript.pyannote[359].start 4530.15846875
transcript.pyannote[359].end 4543.00034375
transcript.pyannote[360].speaker SPEAKER_13
transcript.pyannote[360].start 4543.43909375
transcript.pyannote[360].end 4545.73409375
transcript.pyannote[361].speaker SPEAKER_13
transcript.pyannote[361].start 4546.02096875
transcript.pyannote[361].end 4546.71284375
transcript.pyannote[362].speaker SPEAKER_13
transcript.pyannote[362].start 4546.96596875
transcript.pyannote[362].end 4549.56471875
transcript.pyannote[363].speaker SPEAKER_13
transcript.pyannote[363].start 4549.78409375
transcript.pyannote[363].end 4551.45471875
transcript.pyannote[364].speaker SPEAKER_13
transcript.pyannote[364].start 4551.80909375
transcript.pyannote[364].end 4553.74971875
transcript.pyannote[365].speaker SPEAKER_04
transcript.pyannote[365].start 4553.74971875
transcript.pyannote[365].end 4553.83409375
transcript.pyannote[366].speaker SPEAKER_04
transcript.pyannote[366].start 4554.45846875
transcript.pyannote[366].end 4581.05346875
transcript.pyannote[367].speaker SPEAKER_13
transcript.pyannote[367].start 4556.51721875
transcript.pyannote[367].end 4556.85471875
transcript.pyannote[368].speaker SPEAKER_13
transcript.pyannote[368].start 4582.08284375
transcript.pyannote[368].end 4584.20909375
transcript.pyannote[369].speaker SPEAKER_13
transcript.pyannote[369].start 4584.51284375
transcript.pyannote[369].end 4590.06471875
transcript.pyannote[370].speaker SPEAKER_13
transcript.pyannote[370].start 4590.40221875
transcript.pyannote[370].end 4596.10596875
transcript.pyannote[371].speaker SPEAKER_04
transcript.pyannote[371].start 4595.17784375
transcript.pyannote[371].end 4597.00034375
transcript.pyannote[372].speaker SPEAKER_13
transcript.pyannote[372].start 4597.00034375
transcript.pyannote[372].end 4611.90096875
transcript.pyannote[373].speaker SPEAKER_04
transcript.pyannote[373].start 4597.01721875
transcript.pyannote[373].end 4597.43909375
transcript.pyannote[374].speaker SPEAKER_13
transcript.pyannote[374].start 4612.52534375
transcript.pyannote[374].end 4615.41096875
transcript.pyannote[375].speaker SPEAKER_13
transcript.pyannote[375].start 4615.71471875
transcript.pyannote[375].end 4619.79846875
transcript.pyannote[376].speaker SPEAKER_13
transcript.pyannote[376].start 4620.94596875
transcript.pyannote[376].end 4622.04284375
transcript.pyannote[377].speaker SPEAKER_13
transcript.pyannote[377].start 4622.61659375
transcript.pyannote[377].end 4626.41346875
transcript.pyannote[378].speaker SPEAKER_13
transcript.pyannote[378].start 4626.75096875
transcript.pyannote[378].end 4628.45534375
transcript.pyannote[379].speaker SPEAKER_08
transcript.pyannote[379].start 4626.76784375
transcript.pyannote[379].end 4627.24034375
transcript.pyannote[380].speaker SPEAKER_13
transcript.pyannote[380].start 4628.79284375
transcript.pyannote[380].end 4634.24346875
transcript.pyannote[381].speaker SPEAKER_13
transcript.pyannote[381].start 4635.08721875
transcript.pyannote[381].end 4635.69471875
transcript.pyannote[382].speaker SPEAKER_13
transcript.pyannote[382].start 4636.26846875
transcript.pyannote[382].end 4644.82409375
transcript.pyannote[383].speaker SPEAKER_13
transcript.pyannote[383].start 4645.44846875
transcript.pyannote[383].end 4653.59909375
transcript.pyannote[384].speaker SPEAKER_13
transcript.pyannote[384].start 4654.29096875
transcript.pyannote[384].end 4660.02846875
transcript.pyannote[385].speaker SPEAKER_13
transcript.pyannote[385].start 4660.43346875
transcript.pyannote[385].end 4664.43284375
transcript.pyannote[386].speaker SPEAKER_13
transcript.pyannote[386].start 4664.58471875
transcript.pyannote[386].end 4665.63096875
transcript.pyannote[387].speaker SPEAKER_13
transcript.pyannote[387].start 4665.98534375
transcript.pyannote[387].end 4695.76971875
transcript.pyannote[388].speaker SPEAKER_16
transcript.pyannote[388].start 4686.99471875
transcript.pyannote[388].end 4688.32784375
transcript.pyannote[389].speaker SPEAKER_14
transcript.pyannote[389].start 4688.32784375
transcript.pyannote[389].end 4688.36159375
transcript.pyannote[390].speaker SPEAKER_13
transcript.pyannote[390].start 4696.10721875
transcript.pyannote[390].end 4699.61721875
transcript.pyannote[391].speaker SPEAKER_13
transcript.pyannote[391].start 4700.10659375
transcript.pyannote[391].end 4702.28346875
transcript.pyannote[392].speaker SPEAKER_13
transcript.pyannote[392].start 4702.38471875
transcript.pyannote[392].end 4713.91034375
transcript.pyannote[393].speaker SPEAKER_13
transcript.pyannote[393].start 4714.55159375
transcript.pyannote[393].end 4720.40721875
transcript.pyannote[394].speaker SPEAKER_13
transcript.pyannote[394].start 4720.87971875
transcript.pyannote[394].end 4721.53784375
transcript.pyannote[395].speaker SPEAKER_13
transcript.pyannote[395].start 4722.51659375
transcript.pyannote[395].end 4722.97221875
transcript.pyannote[396].speaker SPEAKER_13
transcript.pyannote[396].start 4723.37721875
transcript.pyannote[396].end 4725.26721875
transcript.pyannote[397].speaker SPEAKER_04
transcript.pyannote[397].start 4725.57096875
transcript.pyannote[397].end 4726.65096875
transcript.pyannote[398].speaker SPEAKER_01
transcript.pyannote[398].start 4730.97096875
transcript.pyannote[398].end 4732.47284375
transcript.pyannote[399].speaker SPEAKER_01
transcript.pyannote[399].start 4740.65721875
transcript.pyannote[399].end 4743.18846875
transcript.pyannote[400].speaker SPEAKER_00
transcript.pyannote[400].start 4741.75409375
transcript.pyannote[400].end 4741.77096875
transcript.pyannote[401].speaker SPEAKER_01
transcript.pyannote[401].start 4743.81284375
transcript.pyannote[401].end 4744.52159375
transcript.pyannote[402].speaker SPEAKER_04
transcript.pyannote[402].start 4748.47034375
transcript.pyannote[402].end 4749.34784375
transcript.pyannote[403].speaker SPEAKER_09
transcript.pyannote[403].start 4750.34346875
transcript.pyannote[403].end 4750.93409375
transcript.pyannote[404].speaker SPEAKER_09
transcript.pyannote[404].start 4751.62596875
transcript.pyannote[404].end 4759.97909375
transcript.pyannote[405].speaker SPEAKER_09
transcript.pyannote[405].start 4760.18159375
transcript.pyannote[405].end 4773.19221875
transcript.pyannote[406].speaker SPEAKER_09
transcript.pyannote[406].start 4773.56346875
transcript.pyannote[406].end 4775.03159375
transcript.pyannote[407].speaker SPEAKER_09
transcript.pyannote[407].start 4775.08221875
transcript.pyannote[407].end 4778.55846875
transcript.pyannote[408].speaker SPEAKER_09
transcript.pyannote[408].start 4779.58784375
transcript.pyannote[408].end 4799.75346875
transcript.pyannote[409].speaker SPEAKER_09
transcript.pyannote[409].start 4800.19221875
transcript.pyannote[409].end 4808.59596875
transcript.pyannote[410].speaker SPEAKER_09
transcript.pyannote[410].start 4808.86596875
transcript.pyannote[410].end 4810.67159375
transcript.pyannote[411].speaker SPEAKER_09
transcript.pyannote[411].start 4810.82346875
transcript.pyannote[411].end 4816.79721875
transcript.pyannote[412].speaker SPEAKER_09
transcript.pyannote[412].start 4817.40471875
transcript.pyannote[412].end 4822.60221875
transcript.pyannote[413].speaker SPEAKER_09
transcript.pyannote[413].start 4822.97346875
transcript.pyannote[413].end 4825.50471875
transcript.pyannote[414].speaker SPEAKER_09
transcript.pyannote[414].start 4825.85909375
transcript.pyannote[414].end 4835.12346875
transcript.pyannote[415].speaker SPEAKER_09
transcript.pyannote[415].start 4835.34284375
transcript.pyannote[415].end 4847.17221875
transcript.pyannote[416].speaker SPEAKER_09
transcript.pyannote[416].start 4847.25659375
transcript.pyannote[416].end 4847.89784375
transcript.pyannote[417].speaker SPEAKER_09
transcript.pyannote[417].start 4848.40409375
transcript.pyannote[417].end 4855.30596875
transcript.pyannote[418].speaker SPEAKER_09
transcript.pyannote[418].start 4855.72784375
transcript.pyannote[418].end 4857.98909375
transcript.pyannote[419].speaker SPEAKER_09
transcript.pyannote[419].start 4858.49534375
transcript.pyannote[419].end 4862.24159375
transcript.pyannote[420].speaker SPEAKER_09
transcript.pyannote[420].start 4862.54534375
transcript.pyannote[420].end 4865.48159375
transcript.pyannote[421].speaker SPEAKER_09
transcript.pyannote[421].start 4866.10596875
transcript.pyannote[421].end 4878.03659375
transcript.pyannote[422].speaker SPEAKER_09
transcript.pyannote[422].start 4878.52596875
transcript.pyannote[422].end 4894.86096875
transcript.pyannote[423].speaker SPEAKER_09
transcript.pyannote[423].start 4895.13096875
transcript.pyannote[423].end 4896.71721875
transcript.pyannote[424].speaker SPEAKER_09
transcript.pyannote[424].start 4897.27409375
transcript.pyannote[424].end 4902.48846875
transcript.pyannote[425].speaker SPEAKER_09
transcript.pyannote[425].start 4902.70784375
transcript.pyannote[425].end 4905.49221875
transcript.pyannote[426].speaker SPEAKER_09
transcript.pyannote[426].start 4905.79596875
transcript.pyannote[426].end 4912.49534375
transcript.pyannote[427].speaker SPEAKER_09
transcript.pyannote[427].start 4912.96784375
transcript.pyannote[427].end 4918.57034375
transcript.pyannote[428].speaker SPEAKER_09
transcript.pyannote[428].start 4919.09346875
transcript.pyannote[428].end 4922.87346875
transcript.pyannote[429].speaker SPEAKER_09
transcript.pyannote[429].start 4923.37971875
transcript.pyannote[429].end 4933.08284375
transcript.pyannote[430].speaker SPEAKER_09
transcript.pyannote[430].start 4933.50471875
transcript.pyannote[430].end 4933.87596875
transcript.pyannote[431].speaker SPEAKER_09
transcript.pyannote[431].start 4934.43284375
transcript.pyannote[431].end 4935.98534375
transcript.pyannote[432].speaker SPEAKER_09
transcript.pyannote[432].start 4937.01471875
transcript.pyannote[432].end 4938.58409375
transcript.pyannote[433].speaker SPEAKER_09
transcript.pyannote[433].start 4939.19159375
transcript.pyannote[433].end 4941.72284375
transcript.pyannote[434].speaker SPEAKER_09
transcript.pyannote[434].start 4942.21221875
transcript.pyannote[434].end 4957.26471875
transcript.pyannote[435].speaker SPEAKER_09
transcript.pyannote[435].start 4958.14221875
transcript.pyannote[435].end 4984.75409375
transcript.pyannote[436].speaker SPEAKER_09
transcript.pyannote[436].start 4984.82159375
transcript.pyannote[436].end 5003.13096875
transcript.pyannote[437].speaker SPEAKER_09
transcript.pyannote[437].start 5003.41784375
transcript.pyannote[437].end 5004.43034375
transcript.pyannote[438].speaker SPEAKER_09
transcript.pyannote[438].start 5004.75096875
transcript.pyannote[438].end 5005.98284375
transcript.pyannote[439].speaker SPEAKER_09
transcript.pyannote[439].start 5006.21909375
transcript.pyannote[439].end 5009.57721875
transcript.pyannote[440].speaker SPEAKER_09
transcript.pyannote[440].start 5009.86409375
transcript.pyannote[440].end 5013.08721875
transcript.pyannote[441].speaker SPEAKER_09
transcript.pyannote[441].start 5013.42471875
transcript.pyannote[441].end 5014.04909375
transcript.pyannote[442].speaker SPEAKER_09
transcript.pyannote[442].start 5014.26846875
transcript.pyannote[442].end 5025.60846875
transcript.pyannote[443].speaker SPEAKER_04
transcript.pyannote[443].start 5026.11471875
transcript.pyannote[443].end 5034.13034375
transcript.pyannote[444].speaker SPEAKER_09
transcript.pyannote[444].start 5035.15971875
transcript.pyannote[444].end 5051.15721875
transcript.pyannote[445].speaker SPEAKER_04
transcript.pyannote[445].start 5051.34284375
transcript.pyannote[445].end 5052.38909375
transcript.pyannote[446].speaker SPEAKER_09
transcript.pyannote[446].start 5053.45221875
transcript.pyannote[446].end 5054.17784375
transcript.pyannote[447].speaker SPEAKER_01
transcript.pyannote[447].start 5056.06784375
transcript.pyannote[447].end 5056.54034375
transcript.pyannote[448].speaker SPEAKER_01
transcript.pyannote[448].start 5058.44721875
transcript.pyannote[448].end 5059.66221875
transcript.pyannote[449].speaker SPEAKER_07
transcript.pyannote[449].start 5066.49659375
transcript.pyannote[449].end 5067.25596875
transcript.pyannote[450].speaker SPEAKER_01
transcript.pyannote[450].start 5067.47534375
transcript.pyannote[450].end 5067.50909375
transcript.pyannote[451].speaker SPEAKER_06
transcript.pyannote[451].start 5067.50909375
transcript.pyannote[451].end 5068.43721875
transcript.pyannote[452].speaker SPEAKER_07
transcript.pyannote[452].start 5072.58846875
transcript.pyannote[452].end 5072.60534375
transcript.pyannote[453].speaker SPEAKER_04
transcript.pyannote[453].start 5072.60534375
transcript.pyannote[453].end 5073.66846875
transcript.pyannote[454].speaker SPEAKER_07
transcript.pyannote[454].start 5073.66846875
transcript.pyannote[454].end 5074.12409375
transcript.pyannote[455].speaker SPEAKER_07
transcript.pyannote[455].start 5074.51221875
transcript.pyannote[455].end 5075.08596875
transcript.pyannote[456].speaker SPEAKER_07
transcript.pyannote[456].start 5076.18284375
transcript.pyannote[456].end 5076.87471875
transcript.pyannote[457].speaker SPEAKER_07
transcript.pyannote[457].start 5077.41471875
transcript.pyannote[457].end 5094.91409375
transcript.pyannote[458].speaker SPEAKER_07
transcript.pyannote[458].start 5095.47096875
transcript.pyannote[458].end 5101.24221875
transcript.pyannote[459].speaker SPEAKER_07
transcript.pyannote[459].start 5101.56284375
transcript.pyannote[459].end 5104.56659375
transcript.pyannote[460].speaker SPEAKER_07
transcript.pyannote[460].start 5105.03909375
transcript.pyannote[460].end 5107.48596875
transcript.pyannote[461].speaker SPEAKER_07
transcript.pyannote[461].start 5107.55346875
transcript.pyannote[461].end 5113.72971875
transcript.pyannote[462].speaker SPEAKER_07
transcript.pyannote[462].start 5114.91096875
transcript.pyannote[462].end 5116.27784375
transcript.pyannote[463].speaker SPEAKER_07
transcript.pyannote[463].start 5116.71659375
transcript.pyannote[463].end 5118.31971875
transcript.pyannote[464].speaker SPEAKER_07
transcript.pyannote[464].start 5118.50534375
transcript.pyannote[464].end 5121.74534375
transcript.pyannote[465].speaker SPEAKER_07
transcript.pyannote[465].start 5122.21784375
transcript.pyannote[465].end 5123.73659375
transcript.pyannote[466].speaker SPEAKER_07
transcript.pyannote[466].start 5124.14159375
transcript.pyannote[466].end 5129.54159375
transcript.pyannote[467].speaker SPEAKER_07
transcript.pyannote[467].start 5130.87471875
transcript.pyannote[467].end 5131.88721875
transcript.pyannote[468].speaker SPEAKER_07
transcript.pyannote[468].start 5132.00534375
transcript.pyannote[468].end 5132.02221875
transcript.pyannote[469].speaker SPEAKER_04
transcript.pyannote[469].start 5132.02221875
transcript.pyannote[469].end 5132.46096875
transcript.pyannote[470].speaker SPEAKER_07
transcript.pyannote[470].start 5132.46096875
transcript.pyannote[470].end 5132.47784375
transcript.pyannote[471].speaker SPEAKER_04
transcript.pyannote[471].start 5132.47784375
transcript.pyannote[471].end 5132.49471875
transcript.pyannote[472].speaker SPEAKER_07
transcript.pyannote[472].start 5132.49471875
transcript.pyannote[472].end 5134.73909375
transcript.pyannote[473].speaker SPEAKER_04
transcript.pyannote[473].start 5132.52846875
transcript.pyannote[473].end 5133.03471875
transcript.pyannote[474].speaker SPEAKER_04
transcript.pyannote[474].start 5135.07659375
transcript.pyannote[474].end 5142.16409375
transcript.pyannote[475].speaker SPEAKER_07
transcript.pyannote[475].start 5143.75034375
transcript.pyannote[475].end 5145.35346875
transcript.pyannote[476].speaker SPEAKER_04
transcript.pyannote[476].start 5145.35346875
transcript.pyannote[476].end 5145.62346875
transcript.pyannote[477].speaker SPEAKER_06
transcript.pyannote[477].start 5145.62346875
transcript.pyannote[477].end 5145.64034375
transcript.pyannote[478].speaker SPEAKER_07
transcript.pyannote[478].start 5145.79221875
transcript.pyannote[478].end 5148.07034375
transcript.pyannote[479].speaker SPEAKER_06
transcript.pyannote[479].start 5147.96909375
transcript.pyannote[479].end 5148.32346875
transcript.pyannote[480].speaker SPEAKER_07
transcript.pyannote[480].start 5148.42471875
transcript.pyannote[480].end 5148.82971875
transcript.pyannote[481].speaker SPEAKER_07
transcript.pyannote[481].start 5149.11659375
transcript.pyannote[481].end 5152.10346875
transcript.pyannote[482].speaker SPEAKER_07
transcript.pyannote[482].start 5152.40721875
transcript.pyannote[482].end 5157.90846875
transcript.pyannote[483].speaker SPEAKER_04
transcript.pyannote[483].start 5157.63846875
transcript.pyannote[483].end 5167.15596875
transcript.pyannote[484].speaker SPEAKER_07
transcript.pyannote[484].start 5167.81409375
transcript.pyannote[484].end 5168.43846875
transcript.pyannote[485].speaker SPEAKER_07
transcript.pyannote[485].start 5169.06284375
transcript.pyannote[485].end 5172.16784375
transcript.pyannote[486].speaker SPEAKER_07
transcript.pyannote[486].start 5172.64034375
transcript.pyannote[486].end 5174.20971875
transcript.pyannote[487].speaker SPEAKER_07
transcript.pyannote[487].start 5174.78346875
transcript.pyannote[487].end 5198.66159375
transcript.pyannote[488].speaker SPEAKER_07
transcript.pyannote[488].start 5199.06659375
transcript.pyannote[488].end 5199.31971875
transcript.pyannote[489].speaker SPEAKER_07
transcript.pyannote[489].start 5199.79221875
transcript.pyannote[489].end 5203.45409375
transcript.pyannote[490].speaker SPEAKER_04
transcript.pyannote[490].start 5203.94346875
transcript.pyannote[490].end 5240.69721875
transcript.pyannote[491].speaker SPEAKER_04
transcript.pyannote[491].start 5240.84909375
transcript.pyannote[491].end 5240.91659375
transcript.pyannote[492].speaker SPEAKER_07
transcript.pyannote[492].start 5242.01346875
transcript.pyannote[492].end 5248.76346875
transcript.pyannote[493].speaker SPEAKER_04
transcript.pyannote[493].start 5248.76346875
transcript.pyannote[493].end 5249.59034375
transcript.pyannote[494].speaker SPEAKER_04
transcript.pyannote[494].start 5249.96159375
transcript.pyannote[494].end 5257.67346875
transcript.pyannote[495].speaker SPEAKER_07
transcript.pyannote[495].start 5253.80909375
transcript.pyannote[495].end 5255.66534375
transcript.pyannote[496].speaker SPEAKER_07
transcript.pyannote[496].start 5257.03221875
transcript.pyannote[496].end 5262.68534375
transcript.pyannote[497].speaker SPEAKER_04
transcript.pyannote[497].start 5259.04034375
transcript.pyannote[497].end 5259.25971875
transcript.pyannote[498].speaker SPEAKER_04
transcript.pyannote[498].start 5262.85409375
transcript.pyannote[498].end 5266.53284375
transcript.pyannote[499].speaker SPEAKER_07
transcript.pyannote[499].start 5266.53284375
transcript.pyannote[499].end 5268.16971875
transcript.pyannote[500].speaker SPEAKER_04
transcript.pyannote[500].start 5268.16971875
transcript.pyannote[500].end 5268.18659375
transcript.pyannote[501].speaker SPEAKER_04
transcript.pyannote[501].start 5268.25409375
transcript.pyannote[501].end 5268.72659375
transcript.pyannote[502].speaker SPEAKER_04
transcript.pyannote[502].start 5268.86159375
transcript.pyannote[502].end 5276.74221875
transcript.pyannote[503].speaker SPEAKER_04
transcript.pyannote[503].start 5277.19784375
transcript.pyannote[503].end 5277.29909375
transcript.pyannote[504].speaker SPEAKER_08
transcript.pyannote[504].start 5277.29909375
transcript.pyannote[504].end 5277.38346875
transcript.pyannote[505].speaker SPEAKER_04
transcript.pyannote[505].start 5277.80534375
transcript.pyannote[505].end 5280.57284375
transcript.pyannote[506].speaker SPEAKER_07
transcript.pyannote[506].start 5281.34909375
transcript.pyannote[506].end 5290.42784375
transcript.pyannote[507].speaker SPEAKER_07
transcript.pyannote[507].start 5290.81596875
transcript.pyannote[507].end 5299.42221875
transcript.pyannote[508].speaker SPEAKER_00
transcript.pyannote[508].start 5290.95096875
transcript.pyannote[508].end 5291.00159375
transcript.pyannote[509].speaker SPEAKER_08
transcript.pyannote[509].start 5291.00159375
transcript.pyannote[509].end 5291.01846875
transcript.pyannote[510].speaker SPEAKER_00
transcript.pyannote[510].start 5291.01846875
transcript.pyannote[510].end 5291.27159375
transcript.pyannote[511].speaker SPEAKER_07
transcript.pyannote[511].start 5299.54034375
transcript.pyannote[511].end 5300.11409375
transcript.pyannote[512].speaker SPEAKER_07
transcript.pyannote[512].start 5300.23221875
transcript.pyannote[512].end 5322.06846875
transcript.pyannote[513].speaker SPEAKER_07
transcript.pyannote[513].start 5322.57471875
transcript.pyannote[513].end 5328.76784375
transcript.pyannote[514].speaker SPEAKER_07
transcript.pyannote[514].start 5334.28596875
transcript.pyannote[514].end 5371.12409375
transcript.pyannote[515].speaker SPEAKER_07
transcript.pyannote[515].start 5371.52909375
transcript.pyannote[515].end 5382.29534375
transcript.pyannote[516].speaker SPEAKER_07
transcript.pyannote[516].start 5382.48096875
transcript.pyannote[516].end 5385.80534375
transcript.pyannote[517].speaker SPEAKER_07
transcript.pyannote[517].start 5386.19346875
transcript.pyannote[517].end 5401.09409375
transcript.pyannote[518].speaker SPEAKER_07
transcript.pyannote[518].start 5401.46534375
transcript.pyannote[518].end 5401.80284375
transcript.pyannote[519].speaker SPEAKER_07
transcript.pyannote[519].start 5401.98846875
transcript.pyannote[519].end 5403.99659375
transcript.pyannote[520].speaker SPEAKER_04
transcript.pyannote[520].start 5404.38471875
transcript.pyannote[520].end 5412.24846875
transcript.pyannote[521].speaker SPEAKER_07
transcript.pyannote[521].start 5411.86034375
transcript.pyannote[521].end 5413.19346875
transcript.pyannote[522].speaker SPEAKER_04
transcript.pyannote[522].start 5413.15971875
transcript.pyannote[522].end 5421.63096875
transcript.pyannote[523].speaker SPEAKER_07
transcript.pyannote[523].start 5422.57596875
transcript.pyannote[523].end 5437.61159375
transcript.pyannote[524].speaker SPEAKER_04
transcript.pyannote[524].start 5425.37721875
transcript.pyannote[524].end 5425.88346875
transcript.pyannote[525].speaker SPEAKER_04
transcript.pyannote[525].start 5437.44284375
transcript.pyannote[525].end 5448.44534375
transcript.pyannote[526].speaker SPEAKER_04
transcript.pyannote[526].start 5448.54659375
transcript.pyannote[526].end 5451.02721875
transcript.pyannote[527].speaker SPEAKER_07
transcript.pyannote[527].start 5451.66846875
transcript.pyannote[527].end 5455.38096875
transcript.pyannote[528].speaker SPEAKER_07
transcript.pyannote[528].start 5455.75221875
transcript.pyannote[528].end 5458.03034375
transcript.pyannote[529].speaker SPEAKER_04
transcript.pyannote[529].start 5457.55784375
transcript.pyannote[529].end 5459.86971875
transcript.pyannote[530].speaker SPEAKER_07
transcript.pyannote[530].start 5459.09346875
transcript.pyannote[530].end 5460.34221875
transcript.pyannote[531].speaker SPEAKER_04
transcript.pyannote[531].start 5460.27471875
transcript.pyannote[531].end 5464.57784375
transcript.pyannote[532].speaker SPEAKER_07
transcript.pyannote[532].start 5466.40034375
transcript.pyannote[532].end 5484.84471875
transcript.pyannote[533].speaker SPEAKER_07
transcript.pyannote[533].start 5485.13159375
transcript.pyannote[533].end 5487.69659375
transcript.pyannote[534].speaker SPEAKER_04
transcript.pyannote[534].start 5487.66284375
transcript.pyannote[534].end 5487.67971875
transcript.pyannote[535].speaker SPEAKER_04
transcript.pyannote[535].start 5487.69659375
transcript.pyannote[535].end 5495.74596875
transcript.pyannote[536].speaker SPEAKER_07
transcript.pyannote[536].start 5496.33659375
transcript.pyannote[536].end 5499.79596875
transcript.pyannote[537].speaker SPEAKER_07
transcript.pyannote[537].start 5500.15034375
transcript.pyannote[537].end 5505.02721875
transcript.pyannote[538].speaker SPEAKER_04
transcript.pyannote[538].start 5500.20096875
transcript.pyannote[538].end 5500.40346875
transcript.pyannote[539].speaker SPEAKER_07
transcript.pyannote[539].start 5505.28034375
transcript.pyannote[539].end 5506.69784375
transcript.pyannote[540].speaker SPEAKER_04
transcript.pyannote[540].start 5506.84971875
transcript.pyannote[540].end 5508.01409375
transcript.pyannote[541].speaker SPEAKER_01
transcript.pyannote[541].start 5513.38034375
transcript.pyannote[541].end 5514.52784375
transcript.pyannote[542].speaker SPEAKER_14
transcript.pyannote[542].start 5530.44096875
transcript.pyannote[542].end 5532.55034375
transcript.pyannote[543].speaker SPEAKER_01
transcript.pyannote[543].start 5531.50409375
transcript.pyannote[543].end 5531.52096875
transcript.pyannote[544].speaker SPEAKER_04
transcript.pyannote[544].start 5531.52096875
transcript.pyannote[544].end 5532.36471875
transcript.pyannote[545].speaker SPEAKER_01
transcript.pyannote[545].start 5532.36471875
transcript.pyannote[545].end 5532.38159375
transcript.pyannote[546].speaker SPEAKER_04
transcript.pyannote[546].start 5536.71846875
transcript.pyannote[546].end 5537.73096875
transcript.pyannote[547].speaker SPEAKER_14
transcript.pyannote[547].start 5539.95846875
transcript.pyannote[547].end 5542.50659375
transcript.pyannote[548].speaker SPEAKER_04
transcript.pyannote[548].start 5546.80971875
transcript.pyannote[548].end 5548.96971875
transcript.pyannote[549].speaker SPEAKER_04
transcript.pyannote[549].start 5549.56034375
transcript.pyannote[549].end 5551.46721875
transcript.pyannote[550].speaker SPEAKER_16
transcript.pyannote[550].start 5549.96534375
transcript.pyannote[550].end 5551.92284375
transcript.pyannote[551].speaker SPEAKER_16
transcript.pyannote[551].start 5552.51346875
transcript.pyannote[551].end 5553.12096875
transcript.pyannote[552].speaker SPEAKER_14
transcript.pyannote[552].start 5558.85846875
transcript.pyannote[552].end 5559.80346875
transcript.pyannote[553].speaker SPEAKER_14
transcript.pyannote[553].start 5560.63034375
transcript.pyannote[553].end 5565.64221875
transcript.pyannote[554].speaker SPEAKER_16
transcript.pyannote[554].start 5561.17034375
transcript.pyannote[554].end 5561.96346875
transcript.pyannote[555].speaker SPEAKER_14
transcript.pyannote[555].start 5566.14846875
transcript.pyannote[555].end 5570.23221875
transcript.pyannote[556].speaker SPEAKER_04
transcript.pyannote[556].start 5570.92409375
transcript.pyannote[556].end 5571.19409375
transcript.pyannote[557].speaker SPEAKER_04
transcript.pyannote[557].start 5571.73409375
transcript.pyannote[557].end 5578.45034375
transcript.pyannote[558].speaker SPEAKER_14
transcript.pyannote[558].start 5572.51034375
transcript.pyannote[558].end 5573.15159375
transcript.pyannote[559].speaker SPEAKER_14
transcript.pyannote[559].start 5580.44159375
transcript.pyannote[559].end 5590.92096875
transcript.pyannote[560].speaker SPEAKER_14
transcript.pyannote[560].start 5591.42721875
transcript.pyannote[560].end 5597.82284375
transcript.pyannote[561].speaker SPEAKER_14
transcript.pyannote[561].start 5598.12659375
transcript.pyannote[561].end 5601.99096875
transcript.pyannote[562].speaker SPEAKER_04
transcript.pyannote[562].start 5602.34534375
transcript.pyannote[562].end 5613.34784375
transcript.pyannote[563].speaker SPEAKER_14
transcript.pyannote[563].start 5611.87971875
transcript.pyannote[563].end 5613.70221875
transcript.pyannote[564].speaker SPEAKER_04
transcript.pyannote[564].start 5613.70221875
transcript.pyannote[564].end 5613.90471875
transcript.pyannote[565].speaker SPEAKER_14
transcript.pyannote[565].start 5613.90471875
transcript.pyannote[565].end 5626.45971875
transcript.pyannote[566].speaker SPEAKER_04
transcript.pyannote[566].start 5613.92159375
transcript.pyannote[566].end 5616.01409375
transcript.pyannote[567].speaker SPEAKER_04
transcript.pyannote[567].start 5620.24971875
transcript.pyannote[567].end 5620.28346875
transcript.pyannote[568].speaker SPEAKER_08
transcript.pyannote[568].start 5620.28346875
transcript.pyannote[568].end 5620.30034375
transcript.pyannote[569].speaker SPEAKER_04
transcript.pyannote[569].start 5620.30034375
transcript.pyannote[569].end 5620.46909375
transcript.pyannote[570].speaker SPEAKER_14
transcript.pyannote[570].start 5626.78034375
transcript.pyannote[570].end 5632.99034375
transcript.pyannote[571].speaker SPEAKER_14
transcript.pyannote[571].start 5634.18846875
transcript.pyannote[571].end 5634.86346875
transcript.pyannote[572].speaker SPEAKER_14
transcript.pyannote[572].start 5635.42034375
transcript.pyannote[572].end 5636.83784375
transcript.pyannote[573].speaker SPEAKER_14
transcript.pyannote[573].start 5637.54659375
transcript.pyannote[573].end 5640.93846875
transcript.pyannote[574].speaker SPEAKER_04
transcript.pyannote[574].start 5640.98909375
transcript.pyannote[574].end 5649.98346875
transcript.pyannote[575].speaker SPEAKER_04
transcript.pyannote[575].start 5650.21971875
transcript.pyannote[575].end 5653.37534375
transcript.pyannote[576].speaker SPEAKER_14
transcript.pyannote[576].start 5650.25346875
transcript.pyannote[576].end 5664.41159375
transcript.pyannote[577].speaker SPEAKER_04
transcript.pyannote[577].start 5654.48909375
transcript.pyannote[577].end 5655.80534375
transcript.pyannote[578].speaker SPEAKER_08
transcript.pyannote[578].start 5657.62784375
transcript.pyannote[578].end 5659.61909375
transcript.pyannote[579].speaker SPEAKER_14
transcript.pyannote[579].start 5665.15409375
transcript.pyannote[579].end 5688.72846875
transcript.pyannote[580].speaker SPEAKER_03
transcript.pyannote[580].start 5682.14721875
transcript.pyannote[580].end 5683.90221875
transcript.pyannote[581].speaker SPEAKER_04
transcript.pyannote[581].start 5688.72846875
transcript.pyannote[581].end 5688.84659375
transcript.pyannote[582].speaker SPEAKER_14
transcript.pyannote[582].start 5688.84659375
transcript.pyannote[582].end 5688.96471875
transcript.pyannote[583].speaker SPEAKER_04
transcript.pyannote[583].start 5688.96471875
transcript.pyannote[583].end 5689.06596875
transcript.pyannote[584].speaker SPEAKER_14
transcript.pyannote[584].start 5689.06596875
transcript.pyannote[584].end 5689.09971875
transcript.pyannote[585].speaker SPEAKER_04
transcript.pyannote[585].start 5689.09971875
transcript.pyannote[585].end 5710.73346875
transcript.pyannote[586].speaker SPEAKER_14
transcript.pyannote[586].start 5700.70971875
transcript.pyannote[586].end 5703.02159375
transcript.pyannote[587].speaker SPEAKER_14
transcript.pyannote[587].start 5703.03846875
transcript.pyannote[587].end 5703.10596875
transcript.pyannote[588].speaker SPEAKER_14
transcript.pyannote[588].start 5703.25784375
transcript.pyannote[588].end 5704.99596875
transcript.pyannote[589].speaker SPEAKER_14
transcript.pyannote[589].start 5708.06721875
transcript.pyannote[589].end 5725.66784375
transcript.pyannote[590].speaker SPEAKER_08
transcript.pyannote[590].start 5717.53409375
transcript.pyannote[590].end 5718.74909375
transcript.pyannote[591].speaker SPEAKER_14
transcript.pyannote[591].start 5726.74784375
transcript.pyannote[591].end 5757.69659375
transcript.pyannote[592].speaker SPEAKER_03
transcript.pyannote[592].start 5747.65596875
transcript.pyannote[592].end 5747.74034375
transcript.pyannote[593].speaker SPEAKER_03
transcript.pyannote[593].start 5747.77409375
transcript.pyannote[593].end 5747.79096875
transcript.pyannote[594].speaker SPEAKER_03
transcript.pyannote[594].start 5748.60096875
transcript.pyannote[594].end 5754.60846875
transcript.pyannote[595].speaker SPEAKER_14
transcript.pyannote[595].start 5757.88221875
transcript.pyannote[595].end 5765.66159375
transcript.pyannote[596].speaker SPEAKER_15
transcript.pyannote[596].start 5760.83534375
transcript.pyannote[596].end 5762.75909375
transcript.pyannote[597].speaker SPEAKER_14
transcript.pyannote[597].start 5765.88096875
transcript.pyannote[597].end 5774.21721875
transcript.pyannote[598].speaker SPEAKER_04
transcript.pyannote[598].start 5771.33159375
transcript.pyannote[598].end 5783.39721875
transcript.pyannote[599].speaker SPEAKER_14
transcript.pyannote[599].start 5775.38159375
transcript.pyannote[599].end 5775.60096875
transcript.pyannote[600].speaker SPEAKER_14
transcript.pyannote[600].start 5776.44471875
transcript.pyannote[600].end 5790.63659375
transcript.pyannote[601].speaker SPEAKER_14
transcript.pyannote[601].start 5790.97409375
transcript.pyannote[601].end 5818.46346875
transcript.pyannote[602].speaker SPEAKER_00
transcript.pyannote[602].start 5793.13409375
transcript.pyannote[602].end 5793.15096875
transcript.pyannote[603].speaker SPEAKER_08
transcript.pyannote[603].start 5793.15096875
transcript.pyannote[603].end 5793.97784375
transcript.pyannote[604].speaker SPEAKER_00
transcript.pyannote[604].start 5793.97784375
transcript.pyannote[604].end 5797.47096875
transcript.pyannote[605].speaker SPEAKER_04
transcript.pyannote[605].start 5815.71284375
transcript.pyannote[605].end 5826.96846875
transcript.pyannote[606].speaker SPEAKER_14
transcript.pyannote[606].start 5823.49221875
transcript.pyannote[606].end 5846.15534375
transcript.pyannote[607].speaker SPEAKER_08
transcript.pyannote[607].start 5839.67534375
transcript.pyannote[607].end 5839.70909375
transcript.pyannote[608].speaker SPEAKER_00
transcript.pyannote[608].start 5839.74284375
transcript.pyannote[608].end 5839.75971875
transcript.pyannote[609].speaker SPEAKER_04
transcript.pyannote[609].start 5839.75971875
transcript.pyannote[609].end 5839.87784375
transcript.pyannote[610].speaker SPEAKER_00
transcript.pyannote[610].start 5839.87784375
transcript.pyannote[610].end 5839.97909375
transcript.pyannote[611].speaker SPEAKER_04
transcript.pyannote[611].start 5845.91909375
transcript.pyannote[611].end 5852.02784375
transcript.pyannote[612].speaker SPEAKER_14
transcript.pyannote[612].start 5847.64034375
transcript.pyannote[612].end 5855.11596875
transcript.pyannote[613].speaker SPEAKER_04
transcript.pyannote[613].start 5852.38221875
transcript.pyannote[613].end 5853.25971875
transcript.pyannote[614].speaker SPEAKER_04
transcript.pyannote[614].start 5853.42846875
transcript.pyannote[614].end 5854.94721875
transcript.pyannote[615].speaker SPEAKER_14
transcript.pyannote[615].start 5855.38596875
transcript.pyannote[615].end 5861.52846875
transcript.pyannote[616].speaker SPEAKER_14
transcript.pyannote[616].start 5861.61284375
transcript.pyannote[616].end 5887.02659375
transcript.pyannote[617].speaker SPEAKER_14
transcript.pyannote[617].start 5887.06034375
transcript.pyannote[617].end 5887.11096875
transcript.pyannote[618].speaker SPEAKER_14
transcript.pyannote[618].start 5887.12784375
transcript.pyannote[618].end 5893.27034375
transcript.pyannote[619].speaker SPEAKER_14
transcript.pyannote[619].start 5893.52346875
transcript.pyannote[619].end 5894.33346875
transcript.pyannote[620].speaker SPEAKER_14
transcript.pyannote[620].start 5894.82284375
transcript.pyannote[620].end 5902.50096875
transcript.pyannote[621].speaker SPEAKER_14
transcript.pyannote[621].start 5902.93971875
transcript.pyannote[621].end 5911.17471875
transcript.pyannote[622].speaker SPEAKER_14
transcript.pyannote[622].start 5911.52909375
transcript.pyannote[622].end 5919.34221875
transcript.pyannote[623].speaker SPEAKER_04
transcript.pyannote[623].start 5918.88659375
transcript.pyannote[623].end 5928.35346875
transcript.pyannote[624].speaker SPEAKER_14
transcript.pyannote[624].start 5925.38346875
transcript.pyannote[624].end 5928.79221875
transcript.pyannote[625].speaker SPEAKER_04
transcript.pyannote[625].start 5928.79221875
transcript.pyannote[625].end 5929.02846875
transcript.pyannote[626].speaker SPEAKER_14
transcript.pyannote[626].start 5929.02846875
transcript.pyannote[626].end 5964.02721875
transcript.pyannote[627].speaker SPEAKER_04
transcript.pyannote[627].start 5931.22221875
transcript.pyannote[627].end 5931.37409375
transcript.pyannote[628].speaker SPEAKER_00
transcript.pyannote[628].start 5938.57971875
transcript.pyannote[628].end 5939.57534375
transcript.pyannote[629].speaker SPEAKER_00
transcript.pyannote[629].start 5939.91284375
transcript.pyannote[629].end 5941.07721875
transcript.pyannote[630].speaker SPEAKER_08
transcript.pyannote[630].start 5948.33346875
transcript.pyannote[630].end 5951.97846875
transcript.pyannote[631].speaker SPEAKER_16
transcript.pyannote[631].start 5951.97846875
transcript.pyannote[631].end 5953.61534375
transcript.pyannote[632].speaker SPEAKER_14
transcript.pyannote[632].start 5964.39846875
transcript.pyannote[632].end 5978.72534375
transcript.pyannote[633].speaker SPEAKER_00
transcript.pyannote[633].start 5964.95534375
transcript.pyannote[633].end 5965.93409375
transcript.pyannote[634].speaker SPEAKER_15
transcript.pyannote[634].start 5965.93409375
transcript.pyannote[634].end 5966.91284375
transcript.pyannote[635].speaker SPEAKER_00
transcript.pyannote[635].start 5966.91284375
transcript.pyannote[635].end 5966.94659375
transcript.pyannote[636].speaker SPEAKER_15
transcript.pyannote[636].start 5966.94659375
transcript.pyannote[636].end 5966.96346875
transcript.pyannote[637].speaker SPEAKER_00
transcript.pyannote[637].start 5966.96346875
transcript.pyannote[637].end 5967.03096875
transcript.pyannote[638].speaker SPEAKER_08
transcript.pyannote[638].start 5967.03096875
transcript.pyannote[638].end 5967.08159375
transcript.pyannote[639].speaker SPEAKER_00
transcript.pyannote[639].start 5967.08159375
transcript.pyannote[639].end 5968.46534375
transcript.pyannote[640].speaker SPEAKER_04
transcript.pyannote[640].start 5975.28284375
transcript.pyannote[640].end 5987.71971875
transcript.pyannote[641].speaker SPEAKER_14
transcript.pyannote[641].start 5984.81721875
transcript.pyannote[641].end 5996.49471875
transcript.pyannote[642].speaker SPEAKER_04
transcript.pyannote[642].start 5996.02221875
transcript.pyannote[642].end 6006.02909375
transcript.pyannote[643].speaker SPEAKER_14
transcript.pyannote[643].start 5998.33409375
transcript.pyannote[643].end 5999.54909375
transcript.pyannote[644].speaker SPEAKER_14
transcript.pyannote[644].start 6004.86471875
transcript.pyannote[644].end 6020.98034375
transcript.pyannote[645].speaker SPEAKER_14
transcript.pyannote[645].start 6021.52034375
transcript.pyannote[645].end 6052.41846875
transcript.pyannote[646].speaker SPEAKER_08
transcript.pyannote[646].start 6030.97034375
transcript.pyannote[646].end 6031.03784375
transcript.pyannote[647].speaker SPEAKER_04
transcript.pyannote[647].start 6031.03784375
transcript.pyannote[647].end 6045.70221875
transcript.pyannote[648].speaker SPEAKER_14
transcript.pyannote[648].start 6052.95846875
transcript.pyannote[648].end 6055.03409375
transcript.pyannote[649].speaker SPEAKER_14
transcript.pyannote[649].start 6055.45596875
transcript.pyannote[649].end 6056.60346875
transcript.pyannote[650].speaker SPEAKER_14
transcript.pyannote[650].start 6057.17721875
transcript.pyannote[650].end 6071.33534375
transcript.pyannote[651].speaker SPEAKER_00
transcript.pyannote[651].start 6064.66971875
transcript.pyannote[651].end 6064.77096875
transcript.pyannote[652].speaker SPEAKER_08
transcript.pyannote[652].start 6064.77096875
transcript.pyannote[652].end 6065.41221875
transcript.pyannote[653].speaker SPEAKER_00
transcript.pyannote[653].start 6065.41221875
transcript.pyannote[653].end 6065.73284375
transcript.pyannote[654].speaker SPEAKER_14
transcript.pyannote[654].start 6071.62221875
transcript.pyannote[654].end 6089.44221875
transcript.pyannote[655].speaker SPEAKER_00
transcript.pyannote[655].start 6079.13159375
transcript.pyannote[655].end 6079.18221875
transcript.pyannote[656].speaker SPEAKER_08
transcript.pyannote[656].start 6079.18221875
transcript.pyannote[656].end 6079.80659375
transcript.pyannote[657].speaker SPEAKER_00
transcript.pyannote[657].start 6079.80659375
transcript.pyannote[657].end 6079.84034375
transcript.pyannote[658].speaker SPEAKER_00
transcript.pyannote[658].start 6081.08909375
transcript.pyannote[658].end 6082.70909375
transcript.pyannote[659].speaker SPEAKER_04
transcript.pyannote[659].start 6084.26159375
transcript.pyannote[659].end 6084.85221875
transcript.pyannote[660].speaker SPEAKER_04
transcript.pyannote[660].start 6085.40909375
transcript.pyannote[660].end 6087.11346875
transcript.pyannote[661].speaker SPEAKER_04
transcript.pyannote[661].start 6088.53096875
transcript.pyannote[661].end 6100.56284375
transcript.pyannote[662].speaker SPEAKER_14
transcript.pyannote[662].start 6090.06659375
transcript.pyannote[662].end 6091.23096875
transcript.pyannote[663].speaker SPEAKER_14
transcript.pyannote[663].start 6092.00721875
transcript.pyannote[663].end 6135.57846875
transcript.pyannote[664].speaker SPEAKER_00
transcript.pyannote[664].start 6104.15721875
transcript.pyannote[664].end 6104.35971875
transcript.pyannote[665].speaker SPEAKER_04
transcript.pyannote[665].start 6104.35971875
transcript.pyannote[665].end 6104.47784375
transcript.pyannote[666].speaker SPEAKER_00
transcript.pyannote[666].start 6104.47784375
transcript.pyannote[666].end 6104.59596875
transcript.pyannote[667].speaker SPEAKER_00
transcript.pyannote[667].start 6104.61284375
transcript.pyannote[667].end 6104.79846875
transcript.pyannote[668].speaker SPEAKER_04
transcript.pyannote[668].start 6104.79846875
transcript.pyannote[668].end 6105.81096875
transcript.pyannote[669].speaker SPEAKER_00
transcript.pyannote[669].start 6105.81096875
transcript.pyannote[669].end 6105.89534375
transcript.pyannote[670].speaker SPEAKER_00
transcript.pyannote[670].start 6107.02596875
transcript.pyannote[670].end 6107.34659375
transcript.pyannote[671].speaker SPEAKER_04
transcript.pyannote[671].start 6107.34659375
transcript.pyannote[671].end 6110.19846875
transcript.pyannote[672].speaker SPEAKER_00
transcript.pyannote[672].start 6110.19846875
transcript.pyannote[672].end 6110.51909375
transcript.pyannote[673].speaker SPEAKER_04
transcript.pyannote[673].start 6110.51909375
transcript.pyannote[673].end 6112.12221875
transcript.pyannote[674].speaker SPEAKER_14
transcript.pyannote[674].start 6135.71346875
transcript.pyannote[674].end 6150.63096875
transcript.pyannote[675].speaker SPEAKER_04
transcript.pyannote[675].start 6150.63096875
transcript.pyannote[675].end 6151.59284375
transcript.pyannote[676].speaker SPEAKER_01
transcript.pyannote[676].start 6155.05221875
transcript.pyannote[676].end 6156.43596875
transcript.pyannote[677].speaker SPEAKER_15
transcript.pyannote[677].start 6164.87346875
transcript.pyannote[677].end 6166.64534375
transcript.pyannote[678].speaker SPEAKER_01
transcript.pyannote[678].start 6167.23596875
transcript.pyannote[678].end 6167.89409375
transcript.pyannote[679].speaker SPEAKER_15
transcript.pyannote[679].start 6172.12971875
transcript.pyannote[679].end 6172.83846875
transcript.pyannote[680].speaker SPEAKER_15
transcript.pyannote[680].start 6173.73284375
transcript.pyannote[680].end 6181.02284375
transcript.pyannote[681].speaker SPEAKER_04
transcript.pyannote[681].start 6181.02284375
transcript.pyannote[681].end 6194.18534375
transcript.pyannote[682].speaker SPEAKER_04
transcript.pyannote[682].start 6194.40471875
transcript.pyannote[682].end 6202.09971875
transcript.pyannote[683].speaker SPEAKER_15
transcript.pyannote[683].start 6202.09971875
transcript.pyannote[683].end 6202.11659375
transcript.pyannote[684].speaker SPEAKER_15
transcript.pyannote[684].start 6203.19659375
transcript.pyannote[684].end 6255.93096875
transcript.pyannote[685].speaker SPEAKER_15
transcript.pyannote[685].start 6256.47096875
transcript.pyannote[685].end 6262.20846875
transcript.pyannote[686].speaker SPEAKER_15
transcript.pyannote[686].start 6262.78221875
transcript.pyannote[686].end 6283.57221875
transcript.pyannote[687].speaker SPEAKER_15
transcript.pyannote[687].start 6283.80846875
transcript.pyannote[687].end 6292.98846875
transcript.pyannote[688].speaker SPEAKER_04
transcript.pyannote[688].start 6292.98846875
transcript.pyannote[688].end 6297.86534375
transcript.pyannote[689].speaker SPEAKER_04
transcript.pyannote[689].start 6298.30409375
transcript.pyannote[689].end 6328.57784375
transcript.pyannote[690].speaker SPEAKER_04
transcript.pyannote[690].start 6329.23596875
transcript.pyannote[690].end 6332.96534375
transcript.pyannote[691].speaker SPEAKER_15
transcript.pyannote[691].start 6332.96534375
transcript.pyannote[691].end 6334.50096875
transcript.pyannote[692].speaker SPEAKER_15
transcript.pyannote[692].start 6335.14221875
transcript.pyannote[692].end 6369.02721875
transcript.pyannote[693].speaker SPEAKER_04
transcript.pyannote[693].start 6369.02721875
transcript.pyannote[693].end 6369.31409375
transcript.pyannote[694].speaker SPEAKER_15
transcript.pyannote[694].start 6369.31409375
transcript.pyannote[694].end 6369.38159375
transcript.pyannote[695].speaker SPEAKER_04
transcript.pyannote[695].start 6369.38159375
transcript.pyannote[695].end 6369.41534375
transcript.pyannote[696].speaker SPEAKER_15
transcript.pyannote[696].start 6369.41534375
transcript.pyannote[696].end 6369.55034375
transcript.pyannote[697].speaker SPEAKER_04
transcript.pyannote[697].start 6369.55034375
transcript.pyannote[697].end 6388.46721875
transcript.pyannote[698].speaker SPEAKER_15
transcript.pyannote[698].start 6388.78784375
transcript.pyannote[698].end 6467.89784375
transcript.pyannote[699].speaker SPEAKER_00
transcript.pyannote[699].start 6445.30221875
transcript.pyannote[699].end 6445.35284375
transcript.pyannote[700].speaker SPEAKER_04
transcript.pyannote[700].start 6467.89784375
transcript.pyannote[700].end 6503.79096875
transcript.pyannote[701].speaker SPEAKER_15
transcript.pyannote[701].start 6502.64346875
transcript.pyannote[701].end 6526.57221875
transcript.pyannote[702].speaker SPEAKER_04
transcript.pyannote[702].start 6504.58409375
transcript.pyannote[702].end 6504.78659375
transcript.pyannote[703].speaker SPEAKER_15
transcript.pyannote[703].start 6526.62284375
transcript.pyannote[703].end 6569.45159375
transcript.pyannote[704].speaker SPEAKER_15
transcript.pyannote[704].start 6569.53596875
transcript.pyannote[704].end 6609.02346875
transcript.pyannote[705].speaker SPEAKER_04
transcript.pyannote[705].start 6609.02346875
transcript.pyannote[705].end 6621.96659375
transcript.pyannote[706].speaker SPEAKER_15
transcript.pyannote[706].start 6621.96659375
transcript.pyannote[706].end 6622.13534375
transcript.pyannote[707].speaker SPEAKER_04
transcript.pyannote[707].start 6622.33784375
transcript.pyannote[707].end 6622.35471875
transcript.pyannote[708].speaker SPEAKER_15
transcript.pyannote[708].start 6622.35471875
transcript.pyannote[708].end 6649.82721875
transcript.pyannote[709].speaker SPEAKER_04
transcript.pyannote[709].start 6650.24909375
transcript.pyannote[709].end 6653.18534375
transcript.pyannote[710].speaker SPEAKER_04
transcript.pyannote[710].start 6653.33721875
transcript.pyannote[710].end 6653.45534375
transcript.pyannote[711].speaker SPEAKER_04
transcript.pyannote[711].start 6653.72534375
transcript.pyannote[711].end 6653.74221875
transcript.pyannote[712].speaker SPEAKER_15
transcript.pyannote[712].start 6653.74221875
transcript.pyannote[712].end 6656.03721875
transcript.pyannote[713].speaker SPEAKER_04
transcript.pyannote[713].start 6656.03721875
transcript.pyannote[713].end 6656.29034375
transcript.pyannote[714].speaker SPEAKER_15
transcript.pyannote[714].start 6656.29034375
transcript.pyannote[714].end 6656.30721875
transcript.pyannote[715].speaker SPEAKER_04
transcript.pyannote[715].start 6656.30721875
transcript.pyannote[715].end 6656.32409375
transcript.pyannote[716].speaker SPEAKER_01
transcript.pyannote[716].start 6661.63971875
transcript.pyannote[716].end 6662.73659375
transcript.pyannote[717].speaker SPEAKER_10
transcript.pyannote[717].start 6674.07659375
transcript.pyannote[717].end 6677.40096875
transcript.pyannote[718].speaker SPEAKER_04
transcript.pyannote[718].start 6682.96971875
transcript.pyannote[718].end 6683.12159375
transcript.pyannote[719].speaker SPEAKER_10
transcript.pyannote[719].start 6683.12159375
transcript.pyannote[719].end 6684.04971875
transcript.pyannote[720].speaker SPEAKER_10
transcript.pyannote[720].start 6684.53909375
transcript.pyannote[720].end 6696.14909375
transcript.pyannote[721].speaker SPEAKER_10
transcript.pyannote[721].start 6696.43596875
transcript.pyannote[721].end 6705.37971875
transcript.pyannote[722].speaker SPEAKER_10
transcript.pyannote[722].start 6705.56534375
transcript.pyannote[722].end 6710.13846875
transcript.pyannote[723].speaker SPEAKER_04
transcript.pyannote[723].start 6710.35784375
transcript.pyannote[723].end 6721.02284375
transcript.pyannote[724].speaker SPEAKER_04
transcript.pyannote[724].start 6721.05659375
transcript.pyannote[724].end 6725.07284375
transcript.pyannote[725].speaker SPEAKER_10
transcript.pyannote[725].start 6726.06846875
transcript.pyannote[725].end 6755.36346875
transcript.pyannote[726].speaker SPEAKER_00
transcript.pyannote[726].start 6746.53784375
transcript.pyannote[726].end 6747.07784375
transcript.pyannote[727].speaker SPEAKER_10
transcript.pyannote[727].start 6755.51534375
transcript.pyannote[727].end 6763.04159375
transcript.pyannote[728].speaker SPEAKER_10
transcript.pyannote[728].start 6763.83471875
transcript.pyannote[728].end 6769.08284375
transcript.pyannote[729].speaker SPEAKER_10
transcript.pyannote[729].start 6769.35284375
transcript.pyannote[729].end 6774.87096875
transcript.pyannote[730].speaker SPEAKER_04
transcript.pyannote[730].start 6775.27596875
transcript.pyannote[730].end 6794.64846875
transcript.pyannote[731].speaker SPEAKER_10
transcript.pyannote[731].start 6782.14409375
transcript.pyannote[731].end 6782.95409375
transcript.pyannote[732].speaker SPEAKER_04
transcript.pyannote[732].start 6794.69909375
transcript.pyannote[732].end 6801.16221875
transcript.pyannote[733].speaker SPEAKER_10
transcript.pyannote[733].start 6801.56721875
transcript.pyannote[733].end 6802.05659375
transcript.pyannote[734].speaker SPEAKER_10
transcript.pyannote[734].start 6802.56284375
transcript.pyannote[734].end 6811.33784375
transcript.pyannote[735].speaker SPEAKER_10
transcript.pyannote[735].start 6811.35471875
transcript.pyannote[735].end 6816.58596875
transcript.pyannote[736].speaker SPEAKER_10
transcript.pyannote[736].start 6817.00784375
transcript.pyannote[736].end 6817.32846875
transcript.pyannote[737].speaker SPEAKER_10
transcript.pyannote[737].start 6817.42971875
transcript.pyannote[737].end 6829.34346875
transcript.pyannote[738].speaker SPEAKER_10
transcript.pyannote[738].start 6829.51221875
transcript.pyannote[738].end 6842.37096875
transcript.pyannote[739].speaker SPEAKER_10
transcript.pyannote[739].start 6842.77596875
transcript.pyannote[739].end 6847.85534375
transcript.pyannote[740].speaker SPEAKER_10
transcript.pyannote[740].start 6848.69909375
transcript.pyannote[740].end 6865.87784375
transcript.pyannote[741].speaker SPEAKER_10
transcript.pyannote[741].start 6866.72159375
transcript.pyannote[741].end 6869.33721875
transcript.pyannote[742].speaker SPEAKER_10
transcript.pyannote[742].start 6870.09659375
transcript.pyannote[742].end 6874.01159375
transcript.pyannote[743].speaker SPEAKER_10
transcript.pyannote[743].start 6874.77096875
transcript.pyannote[743].end 6875.85096875
transcript.pyannote[744].speaker SPEAKER_10
transcript.pyannote[744].start 6876.77909375
transcript.pyannote[744].end 6878.28096875
transcript.pyannote[745].speaker SPEAKER_10
transcript.pyannote[745].start 6878.73659375
transcript.pyannote[745].end 6880.17096875
transcript.pyannote[746].speaker SPEAKER_10
transcript.pyannote[746].start 6880.49159375
transcript.pyannote[746].end 6882.06096875
transcript.pyannote[747].speaker SPEAKER_10
transcript.pyannote[747].start 6882.41534375
transcript.pyannote[747].end 6885.77346875
transcript.pyannote[748].speaker SPEAKER_10
transcript.pyannote[748].start 6886.19534375
transcript.pyannote[748].end 6888.77721875
transcript.pyannote[749].speaker SPEAKER_10
transcript.pyannote[749].start 6890.26221875
transcript.pyannote[749].end 6892.99596875
transcript.pyannote[750].speaker SPEAKER_10
transcript.pyannote[750].start 6893.77221875
transcript.pyannote[750].end 6898.53096875
transcript.pyannote[751].speaker SPEAKER_10
transcript.pyannote[751].start 6898.91909375
transcript.pyannote[751].end 6902.34471875
transcript.pyannote[752].speaker SPEAKER_04
transcript.pyannote[752].start 6902.85096875
transcript.pyannote[752].end 6910.90034375
transcript.pyannote[753].speaker SPEAKER_10
transcript.pyannote[753].start 6911.65971875
transcript.pyannote[753].end 6913.70159375
transcript.pyannote[754].speaker SPEAKER_10
transcript.pyannote[754].start 6914.15721875
transcript.pyannote[754].end 6915.22034375
transcript.pyannote[755].speaker SPEAKER_10
transcript.pyannote[755].start 6915.38909375
transcript.pyannote[755].end 6917.43096875
transcript.pyannote[756].speaker SPEAKER_10
transcript.pyannote[756].start 6917.83596875
transcript.pyannote[756].end 6919.84409375
transcript.pyannote[757].speaker SPEAKER_10
transcript.pyannote[757].start 6920.36721875
transcript.pyannote[757].end 6923.30346875
transcript.pyannote[758].speaker SPEAKER_10
transcript.pyannote[758].start 6923.57346875
transcript.pyannote[758].end 6926.34096875
transcript.pyannote[759].speaker SPEAKER_10
transcript.pyannote[759].start 6927.31971875
transcript.pyannote[759].end 6935.21721875
transcript.pyannote[760].speaker SPEAKER_10
transcript.pyannote[760].start 6935.92596875
transcript.pyannote[760].end 6936.41534375
transcript.pyannote[761].speaker SPEAKER_10
transcript.pyannote[761].start 6937.20846875
transcript.pyannote[761].end 6939.90846875
transcript.pyannote[762].speaker SPEAKER_10
transcript.pyannote[762].start 6940.11096875
transcript.pyannote[762].end 6943.01346875
transcript.pyannote[763].speaker SPEAKER_10
transcript.pyannote[763].start 6944.75159375
transcript.pyannote[763].end 6959.58471875
transcript.pyannote[764].speaker SPEAKER_10
transcript.pyannote[764].start 6959.75346875
transcript.pyannote[764].end 6968.96721875
transcript.pyannote[765].speaker SPEAKER_10
transcript.pyannote[765].start 6969.30471875
transcript.pyannote[765].end 6973.43909375
transcript.pyannote[766].speaker SPEAKER_10
transcript.pyannote[766].start 6974.28284375
transcript.pyannote[766].end 6974.60346875
transcript.pyannote[767].speaker SPEAKER_10
transcript.pyannote[767].start 6975.58221875
transcript.pyannote[767].end 6976.29096875
transcript.pyannote[768].speaker SPEAKER_10
transcript.pyannote[768].start 6981.40409375
transcript.pyannote[768].end 6991.07346875
transcript.pyannote[769].speaker SPEAKER_08
transcript.pyannote[769].start 6990.97221875
transcript.pyannote[769].end 6991.32659375
transcript.pyannote[770].speaker SPEAKER_10
transcript.pyannote[770].start 6991.27596875
transcript.pyannote[770].end 6995.68034375
transcript.pyannote[771].speaker SPEAKER_10
transcript.pyannote[771].start 6996.05159375
transcript.pyannote[771].end 7000.43909375
transcript.pyannote[772].speaker SPEAKER_10
transcript.pyannote[772].start 7000.64159375
transcript.pyannote[772].end 7001.83971875
transcript.pyannote[773].speaker SPEAKER_10
transcript.pyannote[773].start 7002.12659375
transcript.pyannote[773].end 7006.91909375
transcript.pyannote[774].speaker SPEAKER_04
transcript.pyannote[774].start 7008.33659375
transcript.pyannote[774].end 7029.91971875
transcript.pyannote[775].speaker SPEAKER_10
transcript.pyannote[775].start 7030.12221875
transcript.pyannote[775].end 7030.67909375
transcript.pyannote[776].speaker SPEAKER_10
transcript.pyannote[776].start 7031.40471875
transcript.pyannote[776].end 7039.67346875
transcript.pyannote[777].speaker SPEAKER_10
transcript.pyannote[777].start 7040.16284375
transcript.pyannote[777].end 7042.32284375
transcript.pyannote[778].speaker SPEAKER_10
transcript.pyannote[778].start 7042.60971875
transcript.pyannote[778].end 7060.29471875
transcript.pyannote[779].speaker SPEAKER_00
transcript.pyannote[779].start 7042.74471875
transcript.pyannote[779].end 7042.99784375
transcript.pyannote[780].speaker SPEAKER_10
transcript.pyannote[780].start 7061.47596875
transcript.pyannote[780].end 7061.86409375
transcript.pyannote[781].speaker SPEAKER_04
transcript.pyannote[781].start 7061.52659375
transcript.pyannote[781].end 7071.49971875
transcript.pyannote[782].speaker SPEAKER_10
transcript.pyannote[782].start 7072.02284375
transcript.pyannote[782].end 7073.10284375
transcript.pyannote[783].speaker SPEAKER_10
transcript.pyannote[783].start 7073.37284375
transcript.pyannote[783].end 7075.53284375
transcript.pyannote[784].speaker SPEAKER_10
transcript.pyannote[784].start 7075.78596875
transcript.pyannote[784].end 7078.94159375
transcript.pyannote[785].speaker SPEAKER_10
transcript.pyannote[785].start 7079.12721875
transcript.pyannote[785].end 7087.36221875
transcript.pyannote[786].speaker SPEAKER_10
transcript.pyannote[786].start 7087.64909375
transcript.pyannote[786].end 7089.23534375
transcript.pyannote[787].speaker SPEAKER_10
transcript.pyannote[787].start 7089.45471875
transcript.pyannote[787].end 7096.55909375
transcript.pyannote[788].speaker SPEAKER_04
transcript.pyannote[788].start 7095.02346875
transcript.pyannote[788].end 7095.42846875
transcript.pyannote[789].speaker SPEAKER_04
transcript.pyannote[789].start 7096.55909375
transcript.pyannote[789].end 7097.70659375
transcript.pyannote[790].speaker SPEAKER_10
transcript.pyannote[790].start 7097.94284375
transcript.pyannote[790].end 7098.70221875
transcript.pyannote[791].speaker SPEAKER_06
transcript.pyannote[791].start 7101.87471875
transcript.pyannote[791].end 7103.15721875
transcript.pyannote[792].speaker SPEAKER_05
transcript.pyannote[792].start 7108.92846875
transcript.pyannote[792].end 7109.53596875
transcript.pyannote[793].speaker SPEAKER_05
transcript.pyannote[793].start 7109.80596875
transcript.pyannote[793].end 7110.41346875
transcript.pyannote[794].speaker SPEAKER_06
transcript.pyannote[794].start 7110.78471875
transcript.pyannote[794].end 7110.80159375
transcript.pyannote[795].speaker SPEAKER_05
transcript.pyannote[795].start 7110.80159375
transcript.pyannote[795].end 7111.45971875
transcript.pyannote[796].speaker SPEAKER_04
transcript.pyannote[796].start 7115.67846875
transcript.pyannote[796].end 7116.72471875
transcript.pyannote[797].speaker SPEAKER_05
transcript.pyannote[797].start 7118.66534375
transcript.pyannote[797].end 7120.33596875
transcript.pyannote[798].speaker SPEAKER_05
transcript.pyannote[798].start 7120.65659375
transcript.pyannote[798].end 7183.49909375
transcript.pyannote[799].speaker SPEAKER_04
transcript.pyannote[799].start 7183.97159375
transcript.pyannote[799].end 7199.73284375
transcript.pyannote[800].speaker SPEAKER_05
transcript.pyannote[800].start 7200.50909375
transcript.pyannote[800].end 7210.09409375
transcript.pyannote[801].speaker SPEAKER_04
transcript.pyannote[801].start 7210.29659375
transcript.pyannote[801].end 7235.40659375
transcript.pyannote[802].speaker SPEAKER_05
transcript.pyannote[802].start 7234.88346875
transcript.pyannote[802].end 7241.98784375
transcript.pyannote[803].speaker SPEAKER_04
transcript.pyannote[803].start 7237.58346875
transcript.pyannote[803].end 7237.93784375
transcript.pyannote[804].speaker SPEAKER_04
transcript.pyannote[804].start 7240.65471875
transcript.pyannote[804].end 7244.18159375
transcript.pyannote[805].speaker SPEAKER_05
transcript.pyannote[805].start 7243.16909375
transcript.pyannote[805].end 7244.31659375
transcript.pyannote[806].speaker SPEAKER_05
transcript.pyannote[806].start 7244.94096875
transcript.pyannote[806].end 7270.21971875
transcript.pyannote[807].speaker SPEAKER_04
transcript.pyannote[807].start 7270.47284375
transcript.pyannote[807].end 7282.38659375
transcript.pyannote[808].speaker SPEAKER_04
transcript.pyannote[808].start 7282.58909375
transcript.pyannote[808].end 7283.38221875
transcript.pyannote[809].speaker SPEAKER_05
transcript.pyannote[809].start 7282.62284375
transcript.pyannote[809].end 7285.06971875
transcript.pyannote[810].speaker SPEAKER_04
transcript.pyannote[810].start 7284.90096875
transcript.pyannote[810].end 7286.08221875
transcript.pyannote[811].speaker SPEAKER_05
transcript.pyannote[811].start 7286.47034375
transcript.pyannote[811].end 7286.92596875
transcript.pyannote[812].speaker SPEAKER_05
transcript.pyannote[812].start 7287.19596875
transcript.pyannote[812].end 7322.75159375
transcript.pyannote[813].speaker SPEAKER_05
transcript.pyannote[813].start 7323.07221875
transcript.pyannote[813].end 7330.64909375
transcript.pyannote[814].speaker SPEAKER_05
transcript.pyannote[814].start 7330.93596875
transcript.pyannote[814].end 7351.91159375
transcript.pyannote[815].speaker SPEAKER_04
transcript.pyannote[815].start 7350.86534375
transcript.pyannote[815].end 7357.86846875
transcript.pyannote[816].speaker SPEAKER_04
transcript.pyannote[816].start 7358.03721875
transcript.pyannote[816].end 7364.34846875
transcript.pyannote[817].speaker SPEAKER_05
transcript.pyannote[817].start 7365.09096875
transcript.pyannote[817].end 7369.15784375
transcript.pyannote[818].speaker SPEAKER_04
transcript.pyannote[818].start 7369.81596875
transcript.pyannote[818].end 7370.06909375
transcript.pyannote[819].speaker SPEAKER_05
transcript.pyannote[819].start 7370.06909375
transcript.pyannote[819].end 7373.81534375
transcript.pyannote[820].speaker SPEAKER_04
transcript.pyannote[820].start 7374.69284375
transcript.pyannote[820].end 7374.92909375
transcript.pyannote[821].speaker SPEAKER_04
transcript.pyannote[821].start 7375.30034375
transcript.pyannote[821].end 7377.12284375
transcript.pyannote[822].speaker SPEAKER_04
transcript.pyannote[822].start 7377.44346875
transcript.pyannote[822].end 7379.35034375
transcript.pyannote[823].speaker SPEAKER_04
transcript.pyannote[823].start 7379.51909375
transcript.pyannote[823].end 7382.18534375
transcript.pyannote[824].speaker SPEAKER_04
transcript.pyannote[824].start 7382.75909375
transcript.pyannote[824].end 7384.83471875
transcript.pyannote[825].speaker SPEAKER_05
transcript.pyannote[825].start 7382.97846875
transcript.pyannote[825].end 7400.25846875
transcript.pyannote[826].speaker SPEAKER_05
transcript.pyannote[826].start 7400.32596875
transcript.pyannote[826].end 7428.70971875
transcript.pyannote[827].speaker SPEAKER_05
transcript.pyannote[827].start 7428.76034375
transcript.pyannote[827].end 7432.52346875
transcript.pyannote[828].speaker SPEAKER_05
transcript.pyannote[828].start 7432.77659375
transcript.pyannote[828].end 7462.13909375
transcript.pyannote[829].speaker SPEAKER_05
transcript.pyannote[829].start 7462.44284375
transcript.pyannote[829].end 7463.03346875
transcript.pyannote[830].speaker SPEAKER_05
transcript.pyannote[830].start 7463.69159375
transcript.pyannote[830].end 7471.72409375
transcript.pyannote[831].speaker SPEAKER_04
transcript.pyannote[831].start 7471.97721875
transcript.pyannote[831].end 7482.50721875
transcript.pyannote[832].speaker SPEAKER_04
transcript.pyannote[832].start 7482.57471875
transcript.pyannote[832].end 7491.31596875
transcript.pyannote[833].speaker SPEAKER_05
transcript.pyannote[833].start 7490.72534375
transcript.pyannote[833].end 7491.24846875
transcript.pyannote[834].speaker SPEAKER_04
transcript.pyannote[834].start 7491.63659375
transcript.pyannote[834].end 7492.39596875
transcript.pyannote[835].speaker SPEAKER_05
transcript.pyannote[835].start 7492.39596875
transcript.pyannote[835].end 7492.42971875
transcript.pyannote[836].speaker SPEAKER_04
transcript.pyannote[836].start 7492.42971875
transcript.pyannote[836].end 7492.88534375
transcript.pyannote[837].speaker SPEAKER_05
transcript.pyannote[837].start 7492.88534375
transcript.pyannote[837].end 7500.05721875
transcript.pyannote[838].speaker SPEAKER_04
transcript.pyannote[838].start 7500.05721875
transcript.pyannote[838].end 7500.15846875
transcript.pyannote[839].speaker SPEAKER_05
transcript.pyannote[839].start 7500.15846875
transcript.pyannote[839].end 7501.37346875
transcript.pyannote[840].speaker SPEAKER_04
transcript.pyannote[840].start 7500.41159375
transcript.pyannote[840].end 7500.83346875
transcript.pyannote[841].speaker SPEAKER_04
transcript.pyannote[841].start 7501.35659375
transcript.pyannote[841].end 7518.48471875
transcript.pyannote[842].speaker SPEAKER_05
transcript.pyannote[842].start 7519.29471875
transcript.pyannote[842].end 7536.92909375
transcript.pyannote[843].speaker SPEAKER_05
transcript.pyannote[843].start 7536.97971875
transcript.pyannote[843].end 7539.67971875
transcript.pyannote[844].speaker SPEAKER_04
transcript.pyannote[844].start 7537.21596875
transcript.pyannote[844].end 7537.40159375
transcript.pyannote[845].speaker SPEAKER_04
transcript.pyannote[845].start 7540.50659375
transcript.pyannote[845].end 7541.73846875
transcript.pyannote[846].speaker SPEAKER_04
transcript.pyannote[846].start 7542.05909375
transcript.pyannote[846].end 7562.46096875
transcript.pyannote[847].speaker SPEAKER_08
transcript.pyannote[847].start 7556.18346875
transcript.pyannote[847].end 7556.36909375
transcript.pyannote[848].speaker SPEAKER_08
transcript.pyannote[848].start 7556.43659375
transcript.pyannote[848].end 7556.52096875
transcript.pyannote[849].speaker SPEAKER_05
transcript.pyannote[849].start 7563.42284375
transcript.pyannote[849].end 7583.06534375
transcript.pyannote[850].speaker SPEAKER_04
transcript.pyannote[850].start 7583.06534375
transcript.pyannote[850].end 7583.25096875
transcript.pyannote[851].speaker SPEAKER_05
transcript.pyannote[851].start 7583.25096875
transcript.pyannote[851].end 7583.30159375
transcript.pyannote[852].speaker SPEAKER_05
transcript.pyannote[852].start 7583.67284375
transcript.pyannote[852].end 7584.87096875
transcript.pyannote[853].speaker SPEAKER_04
transcript.pyannote[853].start 7584.76971875
transcript.pyannote[853].end 7585.49534375
transcript.pyannote[854].speaker SPEAKER_06
transcript.pyannote[854].start 7590.00096875
transcript.pyannote[854].end 7591.77284375
transcript.pyannote[855].speaker SPEAKER_02
transcript.pyannote[855].start 7601.84721875
transcript.pyannote[855].end 7605.59346875
transcript.pyannote[856].speaker SPEAKER_02
transcript.pyannote[856].start 7609.74471875
transcript.pyannote[856].end 7672.21596875
transcript.pyannote[857].speaker SPEAKER_04
transcript.pyannote[857].start 7672.67159375
transcript.pyannote[857].end 7690.44096875
transcript.pyannote[858].speaker SPEAKER_04
transcript.pyannote[858].start 7690.72784375
transcript.pyannote[858].end 7691.70659375
transcript.pyannote[859].speaker SPEAKER_02
transcript.pyannote[859].start 7691.18346875
transcript.pyannote[859].end 7703.24909375
transcript.pyannote[860].speaker SPEAKER_04
transcript.pyannote[860].start 7697.15721875
transcript.pyannote[860].end 7699.24971875
transcript.pyannote[861].speaker SPEAKER_04
transcript.pyannote[861].start 7702.08471875
transcript.pyannote[861].end 7715.85471875
transcript.pyannote[862].speaker SPEAKER_02
transcript.pyannote[862].start 7711.53471875
transcript.pyannote[862].end 7717.91346875
transcript.pyannote[863].speaker SPEAKER_04
transcript.pyannote[863].start 7717.50846875
transcript.pyannote[863].end 7717.82909375
transcript.pyannote[864].speaker SPEAKER_04
transcript.pyannote[864].start 7718.11596875
transcript.pyannote[864].end 7727.22846875
transcript.pyannote[865].speaker SPEAKER_02
transcript.pyannote[865].start 7726.33409375
transcript.pyannote[865].end 7767.55971875
transcript.pyannote[866].speaker SPEAKER_04
transcript.pyannote[866].start 7767.79596875
transcript.pyannote[866].end 7777.29659375
transcript.pyannote[867].speaker SPEAKER_04
transcript.pyannote[867].start 7777.53284375
transcript.pyannote[867].end 7784.21534375
transcript.pyannote[868].speaker SPEAKER_02
transcript.pyannote[868].start 7785.31221875
transcript.pyannote[868].end 7792.12971875
transcript.pyannote[869].speaker SPEAKER_02
transcript.pyannote[869].start 7792.14659375
transcript.pyannote[869].end 7802.98034375
transcript.pyannote[870].speaker SPEAKER_04
transcript.pyannote[870].start 7802.25471875
transcript.pyannote[870].end 7808.81909375
transcript.pyannote[871].speaker SPEAKER_02
transcript.pyannote[871].start 7805.71409375
transcript.pyannote[871].end 7836.98346875
transcript.pyannote[872].speaker SPEAKER_04
transcript.pyannote[872].start 7813.56096875
transcript.pyannote[872].end 7813.99971875
transcript.pyannote[873].speaker SPEAKER_04
transcript.pyannote[873].start 7814.10096875
transcript.pyannote[873].end 7815.02909375
transcript.pyannote[874].speaker SPEAKER_03
transcript.pyannote[874].start 7815.02909375
transcript.pyannote[874].end 7815.73784375
transcript.pyannote[875].speaker SPEAKER_04
transcript.pyannote[875].start 7815.73784375
transcript.pyannote[875].end 7815.87284375
transcript.pyannote[876].speaker SPEAKER_00
transcript.pyannote[876].start 7825.30596875
transcript.pyannote[876].end 7825.59284375
transcript.pyannote[877].speaker SPEAKER_08
transcript.pyannote[877].start 7825.59284375
transcript.pyannote[877].end 7825.96409375
transcript.pyannote[878].speaker SPEAKER_00
transcript.pyannote[878].start 7825.96409375
transcript.pyannote[878].end 7826.68971875
transcript.pyannote[879].speaker SPEAKER_04
transcript.pyannote[879].start 7834.36784375
transcript.pyannote[879].end 7850.01096875
transcript.pyannote[880].speaker SPEAKER_02
transcript.pyannote[880].start 7842.07971875
transcript.pyannote[880].end 7842.38346875
transcript.pyannote[881].speaker SPEAKER_02
transcript.pyannote[881].start 7846.23096875
transcript.pyannote[881].end 7879.82909375
transcript.pyannote[882].speaker SPEAKER_04
transcript.pyannote[882].start 7853.06534375
transcript.pyannote[882].end 7853.08221875
transcript.pyannote[883].speaker SPEAKER_08
transcript.pyannote[883].start 7853.08221875
transcript.pyannote[883].end 7853.63909375
transcript.pyannote[884].speaker SPEAKER_04
transcript.pyannote[884].start 7853.63909375
transcript.pyannote[884].end 7853.65596875
transcript.pyannote[885].speaker SPEAKER_04
transcript.pyannote[885].start 7879.82909375
transcript.pyannote[885].end 7879.86284375
transcript.pyannote[886].speaker SPEAKER_04
transcript.pyannote[886].start 7880.04846875
transcript.pyannote[886].end 7895.32034375
transcript.pyannote[887].speaker SPEAKER_02
transcript.pyannote[887].start 7894.56096875
transcript.pyannote[887].end 7903.60596875
transcript.pyannote[888].speaker SPEAKER_04
transcript.pyannote[888].start 7903.60596875
transcript.pyannote[888].end 7905.79971875
transcript.pyannote[889].speaker SPEAKER_02
transcript.pyannote[889].start 7905.10784375
transcript.pyannote[889].end 7911.45284375
transcript.pyannote[890].speaker SPEAKER_04
transcript.pyannote[890].start 7911.85784375
transcript.pyannote[890].end 7926.99471875
transcript.pyannote[891].speaker SPEAKER_02
transcript.pyannote[891].start 7913.52846875
transcript.pyannote[891].end 7914.27096875
transcript.pyannote[892].speaker SPEAKER_02
transcript.pyannote[892].start 7926.99471875
transcript.pyannote[892].end 7937.74409375
transcript.pyannote[893].speaker SPEAKER_04
transcript.pyannote[893].start 7933.74471875
transcript.pyannote[893].end 7933.94721875
transcript.pyannote[894].speaker SPEAKER_04
transcript.pyannote[894].start 7936.17471875
transcript.pyannote[894].end 7936.86659375
transcript.pyannote[895].speaker SPEAKER_02
transcript.pyannote[895].start 7937.77784375
transcript.pyannote[895].end 7955.53034375
transcript.pyannote[896].speaker SPEAKER_04
transcript.pyannote[896].start 7945.72596875
transcript.pyannote[896].end 7945.74284375
transcript.pyannote[897].speaker SPEAKER_13
transcript.pyannote[897].start 7945.74284375
transcript.pyannote[897].end 7946.65409375
transcript.pyannote[898].speaker SPEAKER_04
transcript.pyannote[898].start 7946.65409375
transcript.pyannote[898].end 7946.72159375
transcript.pyannote[899].speaker SPEAKER_04
transcript.pyannote[899].start 7955.53034375
transcript.pyannote[899].end 7967.51159375
transcript.pyannote[900].speaker SPEAKER_02
transcript.pyannote[900].start 7966.68471875
transcript.pyannote[900].end 7972.70909375
transcript.pyannote[901].speaker SPEAKER_02
transcript.pyannote[901].start 7973.68784375
transcript.pyannote[901].end 7975.59471875
transcript.pyannote[902].speaker SPEAKER_04
transcript.pyannote[902].start 7976.05034375
transcript.pyannote[902].end 7980.16784375
transcript.pyannote[903].speaker SPEAKER_02
transcript.pyannote[903].start 7978.98659375
transcript.pyannote[903].end 7983.89721875
transcript.pyannote[904].speaker SPEAKER_04
transcript.pyannote[904].start 7982.51346875
transcript.pyannote[904].end 7984.97721875
transcript.pyannote[905].speaker SPEAKER_02
transcript.pyannote[905].start 7984.97721875
transcript.pyannote[905].end 8057.96159375
transcript.pyannote[906].speaker SPEAKER_04
transcript.pyannote[906].start 8058.16409375
transcript.pyannote[906].end 8058.24846875
transcript.pyannote[907].speaker SPEAKER_04
transcript.pyannote[907].start 8058.50159375
transcript.pyannote[907].end 8079.08909375
transcript.pyannote[908].speaker SPEAKER_04
transcript.pyannote[908].start 8079.91596875
transcript.pyannote[908].end 8081.02971875
transcript.pyannote[909].speaker SPEAKER_04
transcript.pyannote[909].start 8081.31659375
transcript.pyannote[909].end 8091.03659375
transcript.pyannote[910].speaker SPEAKER_02
transcript.pyannote[910].start 8089.55159375
transcript.pyannote[910].end 8098.54596875
transcript.pyannote[911].speaker SPEAKER_04
transcript.pyannote[911].start 8098.54596875
transcript.pyannote[911].end 8104.03034375
transcript.pyannote[912].speaker SPEAKER_04
transcript.pyannote[912].start 8104.45221875
transcript.pyannote[912].end 8121.54659375
transcript.pyannote[913].speaker SPEAKER_02
transcript.pyannote[913].start 8120.02784375
transcript.pyannote[913].end 8124.88784375
transcript.pyannote[914].speaker SPEAKER_04
transcript.pyannote[914].start 8122.00221875
transcript.pyannote[914].end 8122.20471875
transcript.pyannote[915].speaker SPEAKER_04
transcript.pyannote[915].start 8124.24659375
transcript.pyannote[915].end 8128.34721875
transcript.pyannote[916].speaker SPEAKER_02
transcript.pyannote[916].start 8127.72284375
transcript.pyannote[916].end 8130.00096875
transcript.pyannote[917].speaker SPEAKER_04
transcript.pyannote[917].start 8130.00096875
transcript.pyannote[917].end 8132.36346875
transcript.pyannote[918].speaker SPEAKER_02
transcript.pyannote[918].start 8131.11471875
transcript.pyannote[918].end 8135.31659375
transcript.pyannote[919].speaker SPEAKER_04
transcript.pyannote[919].start 8134.69221875
transcript.pyannote[919].end 8137.08846875
transcript.pyannote[920].speaker SPEAKER_02
transcript.pyannote[920].start 8136.29534375
transcript.pyannote[920].end 8151.66846875
transcript.pyannote[921].speaker SPEAKER_04
transcript.pyannote[921].start 8147.53409375
transcript.pyannote[921].end 8148.74909375
transcript.pyannote[922].speaker SPEAKER_04
transcript.pyannote[922].start 8150.08221875
transcript.pyannote[922].end 8161.06784375
transcript.pyannote[923].speaker SPEAKER_02
transcript.pyannote[923].start 8159.36346875
transcript.pyannote[923].end 8197.88909375
transcript.pyannote[924].speaker SPEAKER_04
transcript.pyannote[924].start 8194.49721875
transcript.pyannote[924].end 8194.61534375
transcript.pyannote[925].speaker SPEAKER_15
transcript.pyannote[925].start 8194.61534375
transcript.pyannote[925].end 8195.10471875
transcript.pyannote[926].speaker SPEAKER_04
transcript.pyannote[926].start 8195.10471875
transcript.pyannote[926].end 8196.04971875
transcript.pyannote[927].speaker SPEAKER_15
transcript.pyannote[927].start 8196.04971875
transcript.pyannote[927].end 8197.88909375
transcript.pyannote[928].speaker SPEAKER_04
transcript.pyannote[928].start 8197.88909375
transcript.pyannote[928].end 8198.17596875
transcript.pyannote[929].speaker SPEAKER_15
transcript.pyannote[929].start 8199.61034375
transcript.pyannote[929].end 8243.21534375
transcript.pyannote[930].speaker SPEAKER_15
transcript.pyannote[930].start 8246.06721875
transcript.pyannote[930].end 8252.14221875
transcript.pyannote[931].speaker SPEAKER_06
transcript.pyannote[931].start 8263.00971875
transcript.pyannote[931].end 8263.97159375
transcript.pyannote[932].speaker SPEAKER_04
transcript.pyannote[932].start 8269.75971875
transcript.pyannote[932].end 8271.43034375
transcript.pyannote[933].speaker SPEAKER_06
transcript.pyannote[933].start 8272.15596875
transcript.pyannote[933].end 8274.04596875
transcript.pyannote[934].speaker SPEAKER_06
transcript.pyannote[934].start 8274.46784375
transcript.pyannote[934].end 8276.12159375
transcript.pyannote[935].speaker SPEAKER_06
transcript.pyannote[935].start 8276.57721875
transcript.pyannote[935].end 8288.44034375
transcript.pyannote[936].speaker SPEAKER_06
transcript.pyannote[936].start 8288.60909375
transcript.pyannote[936].end 8294.34659375
transcript.pyannote[937].speaker SPEAKER_06
transcript.pyannote[937].start 8294.76846875
transcript.pyannote[937].end 8295.25784375
transcript.pyannote[938].speaker SPEAKER_06
transcript.pyannote[938].start 8296.60784375
transcript.pyannote[938].end 8297.65409375
transcript.pyannote[939].speaker SPEAKER_06
transcript.pyannote[939].start 8298.04221875
transcript.pyannote[939].end 8298.98721875
transcript.pyannote[940].speaker SPEAKER_06
transcript.pyannote[940].start 8299.71284375
transcript.pyannote[940].end 8300.21909375
transcript.pyannote[941].speaker SPEAKER_06
transcript.pyannote[941].start 8300.79284375
transcript.pyannote[941].end 8302.51409375
transcript.pyannote[942].speaker SPEAKER_06
transcript.pyannote[942].start 8303.05409375
transcript.pyannote[942].end 8303.84721875
transcript.pyannote[943].speaker SPEAKER_06
transcript.pyannote[943].start 8304.15096875
transcript.pyannote[943].end 8306.36159375
transcript.pyannote[944].speaker SPEAKER_06
transcript.pyannote[944].start 8306.37846875
transcript.pyannote[944].end 8315.25471875
transcript.pyannote[945].speaker SPEAKER_04
transcript.pyannote[945].start 8315.52471875
transcript.pyannote[945].end 8322.78096875
transcript.pyannote[946].speaker SPEAKER_04
transcript.pyannote[946].start 8322.96659375
transcript.pyannote[946].end 8357.54346875
transcript.pyannote[947].speaker SPEAKER_06
transcript.pyannote[947].start 8358.06659375
transcript.pyannote[947].end 8359.14659375
transcript.pyannote[948].speaker SPEAKER_06
transcript.pyannote[948].start 8360.19284375
transcript.pyannote[948].end 8373.62534375
transcript.pyannote[949].speaker SPEAKER_06
transcript.pyannote[949].start 8373.94596875
transcript.pyannote[949].end 8379.14346875
transcript.pyannote[950].speaker SPEAKER_06
transcript.pyannote[950].start 8379.58221875
transcript.pyannote[950].end 8384.37471875
transcript.pyannote[951].speaker SPEAKER_06
transcript.pyannote[951].start 8385.42096875
transcript.pyannote[951].end 8385.77534375
transcript.pyannote[952].speaker SPEAKER_06
transcript.pyannote[952].start 8386.83846875
transcript.pyannote[952].end 8389.09971875
transcript.pyannote[953].speaker SPEAKER_06
transcript.pyannote[953].start 8389.69034375
transcript.pyannote[953].end 8391.31034375
transcript.pyannote[954].speaker SPEAKER_06
transcript.pyannote[954].start 8391.88409375
transcript.pyannote[954].end 8392.86284375
transcript.pyannote[955].speaker SPEAKER_06
transcript.pyannote[955].start 8393.28471875
transcript.pyannote[955].end 8401.11471875
transcript.pyannote[956].speaker SPEAKER_06
transcript.pyannote[956].start 8401.95846875
transcript.pyannote[956].end 8402.70096875
transcript.pyannote[957].speaker SPEAKER_04
transcript.pyannote[957].start 8402.75159375
transcript.pyannote[957].end 8406.27846875
transcript.pyannote[958].speaker SPEAKER_06
transcript.pyannote[958].start 8405.82284375
transcript.pyannote[958].end 8412.77534375
transcript.pyannote[959].speaker SPEAKER_04
transcript.pyannote[959].start 8412.75846875
transcript.pyannote[959].end 8418.54659375
transcript.pyannote[960].speaker SPEAKER_06
transcript.pyannote[960].start 8418.02346875
transcript.pyannote[960].end 8420.43659375
transcript.pyannote[961].speaker SPEAKER_04
transcript.pyannote[961].start 8421.76971875
transcript.pyannote[961].end 8428.73909375
transcript.pyannote[962].speaker SPEAKER_06
transcript.pyannote[962].start 8424.94221875
transcript.pyannote[962].end 8425.24596875
transcript.pyannote[963].speaker SPEAKER_06
transcript.pyannote[963].start 8425.98846875
transcript.pyannote[963].end 8426.34284375
transcript.pyannote[964].speaker SPEAKER_06
transcript.pyannote[964].start 8429.04284375
transcript.pyannote[964].end 8429.95409375
transcript.pyannote[965].speaker SPEAKER_06
transcript.pyannote[965].start 8430.39284375
transcript.pyannote[965].end 8432.14784375
transcript.pyannote[966].speaker SPEAKER_06
transcript.pyannote[966].start 8433.24471875
transcript.pyannote[966].end 8434.02096875
transcript.pyannote[967].speaker SPEAKER_04
transcript.pyannote[967].start 8434.56096875
transcript.pyannote[967].end 8445.02346875
transcript.pyannote[968].speaker SPEAKER_06
transcript.pyannote[968].start 8445.32721875
transcript.pyannote[968].end 8446.32284375
transcript.pyannote[969].speaker SPEAKER_06
transcript.pyannote[969].start 8446.59284375
transcript.pyannote[969].end 8446.71096875
transcript.pyannote[970].speaker SPEAKER_04
transcript.pyannote[970].start 8446.71096875
transcript.pyannote[970].end 8446.96409375
transcript.pyannote[971].speaker SPEAKER_06
transcript.pyannote[971].start 8446.96409375
transcript.pyannote[971].end 8447.31846875
transcript.pyannote[972].speaker SPEAKER_06
transcript.pyannote[972].start 8448.55034375
transcript.pyannote[972].end 8459.09721875
transcript.pyannote[973].speaker SPEAKER_06
transcript.pyannote[973].start 8459.36721875
transcript.pyannote[973].end 8461.22346875
transcript.pyannote[974].speaker SPEAKER_06
transcript.pyannote[974].start 8461.93221875
transcript.pyannote[974].end 8464.26096875
transcript.pyannote[975].speaker SPEAKER_06
transcript.pyannote[975].start 8465.07096875
transcript.pyannote[975].end 8468.07471875
transcript.pyannote[976].speaker SPEAKER_06
transcript.pyannote[976].start 8468.53034375
transcript.pyannote[976].end 8470.25159375
transcript.pyannote[977].speaker SPEAKER_06
transcript.pyannote[977].start 8471.39909375
transcript.pyannote[977].end 8473.69409375
transcript.pyannote[978].speaker SPEAKER_06
transcript.pyannote[978].start 8474.62221875
transcript.pyannote[978].end 8487.59909375
transcript.pyannote[979].speaker SPEAKER_06
transcript.pyannote[979].start 8487.75096875
transcript.pyannote[979].end 8489.15159375
transcript.pyannote[980].speaker SPEAKER_06
transcript.pyannote[980].start 8489.82659375
transcript.pyannote[980].end 8493.97784375
transcript.pyannote[981].speaker SPEAKER_06
transcript.pyannote[981].start 8494.60221875
transcript.pyannote[981].end 8495.73284375
transcript.pyannote[982].speaker SPEAKER_06
transcript.pyannote[982].start 8496.20534375
transcript.pyannote[982].end 8496.91409375
transcript.pyannote[983].speaker SPEAKER_04
transcript.pyannote[983].start 8497.04909375
transcript.pyannote[983].end 8502.41534375
transcript.pyannote[984].speaker SPEAKER_04
transcript.pyannote[984].start 8502.60096875
transcript.pyannote[984].end 8506.33034375
transcript.pyannote[985].speaker SPEAKER_04
transcript.pyannote[985].start 8506.41471875
transcript.pyannote[985].end 8509.09784375
transcript.pyannote[986].speaker SPEAKER_04
transcript.pyannote[986].start 8509.38471875
transcript.pyannote[986].end 8511.13971875
transcript.pyannote[987].speaker SPEAKER_04
transcript.pyannote[987].start 8511.32534375
transcript.pyannote[987].end 8516.15159375
transcript.pyannote[988].speaker SPEAKER_06
transcript.pyannote[988].start 8516.89409375
transcript.pyannote[988].end 8522.10846875
transcript.pyannote[989].speaker SPEAKER_06
transcript.pyannote[989].start 8522.27721875
transcript.pyannote[989].end 8523.99846875
transcript.pyannote[990].speaker SPEAKER_06
transcript.pyannote[990].start 8524.03221875
transcript.pyannote[990].end 8538.03846875
transcript.pyannote[991].speaker SPEAKER_06
transcript.pyannote[991].start 8538.56159375
transcript.pyannote[991].end 8538.61221875
transcript.pyannote[992].speaker SPEAKER_06
transcript.pyannote[992].start 8539.40534375
transcript.pyannote[992].end 8543.43846875
transcript.pyannote[993].speaker SPEAKER_06
transcript.pyannote[993].start 8544.29909375
transcript.pyannote[993].end 8545.05846875
transcript.pyannote[994].speaker SPEAKER_06
transcript.pyannote[994].start 8545.21034375
transcript.pyannote[994].end 8547.35346875
transcript.pyannote[995].speaker SPEAKER_06
transcript.pyannote[995].start 8548.19721875
transcript.pyannote[995].end 8557.22534375
transcript.pyannote[996].speaker SPEAKER_06
transcript.pyannote[996].start 8557.90034375
transcript.pyannote[996].end 8574.55596875
transcript.pyannote[997].speaker SPEAKER_04
transcript.pyannote[997].start 8574.65721875
transcript.pyannote[997].end 8585.57534375
transcript.pyannote[998].speaker SPEAKER_04
transcript.pyannote[998].start 8585.71034375
transcript.pyannote[998].end 8586.35159375
transcript.pyannote[999].speaker SPEAKER_06
transcript.pyannote[999].start 8585.82846875
transcript.pyannote[999].end 8586.08159375
transcript.pyannote[1000].speaker SPEAKER_06
transcript.pyannote[1000].start 8586.68909375
transcript.pyannote[1000].end 8591.78534375
transcript.pyannote[1001].speaker SPEAKER_06
transcript.pyannote[1001].start 8592.19034375
transcript.pyannote[1001].end 8593.60784375
transcript.pyannote[1002].speaker SPEAKER_06
transcript.pyannote[1002].start 8594.41784375
transcript.pyannote[1002].end 8594.80596875
transcript.pyannote[1003].speaker SPEAKER_06
transcript.pyannote[1003].start 8595.12659375
transcript.pyannote[1003].end 8596.64534375
transcript.pyannote[1004].speaker SPEAKER_06
transcript.pyannote[1004].start 8597.28659375
transcript.pyannote[1004].end 8600.83034375
transcript.pyannote[1005].speaker SPEAKER_06
transcript.pyannote[1005].start 8601.25221875
transcript.pyannote[1005].end 8602.31534375
transcript.pyannote[1006].speaker SPEAKER_06
transcript.pyannote[1006].start 8603.02409375
transcript.pyannote[1006].end 8628.99471875
transcript.pyannote[1007].speaker SPEAKER_06
transcript.pyannote[1007].start 8629.16346875
transcript.pyannote[1007].end 8630.78346875
transcript.pyannote[1008].speaker SPEAKER_08
transcript.pyannote[1008].start 8630.78346875
transcript.pyannote[1008].end 8631.03659375
transcript.pyannote[1009].speaker SPEAKER_06
transcript.pyannote[1009].start 8631.03659375
transcript.pyannote[1009].end 8632.03221875
transcript.pyannote[1010].speaker SPEAKER_06
transcript.pyannote[1010].start 8632.15034375
transcript.pyannote[1010].end 8636.08221875
transcript.pyannote[1011].speaker SPEAKER_06
transcript.pyannote[1011].start 8637.19596875
transcript.pyannote[1011].end 8639.27159375
transcript.pyannote[1012].speaker SPEAKER_06
transcript.pyannote[1012].start 8640.89159375
transcript.pyannote[1012].end 8642.69721875
transcript.pyannote[1013].speaker SPEAKER_06
transcript.pyannote[1013].start 8643.05159375
transcript.pyannote[1013].end 8644.85721875
transcript.pyannote[1014].speaker SPEAKER_06
transcript.pyannote[1014].start 8645.51534375
transcript.pyannote[1014].end 8647.55721875
transcript.pyannote[1015].speaker SPEAKER_06
transcript.pyannote[1015].start 8649.10971875
transcript.pyannote[1015].end 8651.67471875
transcript.pyannote[1016].speaker SPEAKER_06
transcript.pyannote[1016].start 8652.24846875
transcript.pyannote[1016].end 8653.10909375
transcript.pyannote[1017].speaker SPEAKER_06
transcript.pyannote[1017].start 8653.44659375
transcript.pyannote[1017].end 8654.32409375
transcript.pyannote[1018].speaker SPEAKER_04
transcript.pyannote[1018].start 8654.37471875
transcript.pyannote[1018].end 8656.12971875
transcript.pyannote[1019].speaker SPEAKER_06
transcript.pyannote[1019].start 8656.34909375
transcript.pyannote[1019].end 8661.52971875
transcript.pyannote[1020].speaker SPEAKER_04
transcript.pyannote[1020].start 8656.48409375
transcript.pyannote[1020].end 8656.78784375
transcript.pyannote[1021].speaker SPEAKER_04
transcript.pyannote[1021].start 8657.10846875
transcript.pyannote[1021].end 8657.22659375
transcript.pyannote[1022].speaker SPEAKER_06
transcript.pyannote[1022].start 8661.79971875
transcript.pyannote[1022].end 8664.01034375
transcript.pyannote[1023].speaker SPEAKER_06
transcript.pyannote[1023].start 8664.22971875
transcript.pyannote[1023].end 8665.27596875
transcript.pyannote[1024].speaker SPEAKER_06
transcript.pyannote[1024].start 8665.79909375
transcript.pyannote[1024].end 8667.36846875
transcript.pyannote[1025].speaker SPEAKER_06
transcript.pyannote[1025].start 8667.67221875
transcript.pyannote[1025].end 8670.67596875
transcript.pyannote[1026].speaker SPEAKER_05
transcript.pyannote[1026].start 8672.12721875
transcript.pyannote[1026].end 8672.14409375
transcript.pyannote[1027].speaker SPEAKER_06
transcript.pyannote[1027].start 8672.14409375
transcript.pyannote[1027].end 8672.53221875
transcript.pyannote[1028].speaker SPEAKER_06
transcript.pyannote[1028].start 8673.56159375
transcript.pyannote[1028].end 8678.94471875
transcript.pyannote[1029].speaker SPEAKER_04
transcript.pyannote[1029].start 8679.34971875
transcript.pyannote[1029].end 8680.66596875
transcript.pyannote[1030].speaker SPEAKER_06
transcript.pyannote[1030].start 8680.66596875
transcript.pyannote[1030].end 8692.22534375
transcript.pyannote[1031].speaker SPEAKER_06
transcript.pyannote[1031].start 8693.11971875
transcript.pyannote[1031].end 8707.42971875
transcript.pyannote[1032].speaker SPEAKER_06
transcript.pyannote[1032].start 8708.30721875
transcript.pyannote[1032].end 8709.60659375
transcript.pyannote[1033].speaker SPEAKER_06
transcript.pyannote[1033].start 8709.94409375
transcript.pyannote[1033].end 8713.16721875
transcript.pyannote[1034].speaker SPEAKER_06
transcript.pyannote[1034].start 8713.62284375
transcript.pyannote[1034].end 8714.31471875
transcript.pyannote[1035].speaker SPEAKER_06
transcript.pyannote[1035].start 8714.85471875
transcript.pyannote[1035].end 8715.34409375
transcript.pyannote[1036].speaker SPEAKER_06
transcript.pyannote[1036].start 8715.78284375
transcript.pyannote[1036].end 8718.11159375
transcript.pyannote[1037].speaker SPEAKER_06
transcript.pyannote[1037].start 8718.61784375
transcript.pyannote[1037].end 8719.14096875
transcript.pyannote[1038].speaker SPEAKER_06
transcript.pyannote[1038].start 8719.83284375
transcript.pyannote[1038].end 8723.73096875
transcript.pyannote[1039].speaker SPEAKER_06
transcript.pyannote[1039].start 8724.30471875
transcript.pyannote[1039].end 8725.28346875
transcript.pyannote[1040].speaker SPEAKER_06
transcript.pyannote[1040].start 8726.00909375
transcript.pyannote[1040].end 8740.53846875
transcript.pyannote[1041].speaker SPEAKER_04
transcript.pyannote[1041].start 8740.55534375
transcript.pyannote[1041].end 8748.13221875
transcript.pyannote[1042].speaker SPEAKER_04
transcript.pyannote[1042].start 8748.19971875
transcript.pyannote[1042].end 8755.42221875
transcript.pyannote[1043].speaker SPEAKER_06
transcript.pyannote[1043].start 8754.54471875
transcript.pyannote[1043].end 8756.28284375
transcript.pyannote[1044].speaker SPEAKER_04
transcript.pyannote[1044].start 8756.28284375
transcript.pyannote[1044].end 8757.44721875
transcript.pyannote[1045].speaker SPEAKER_04
transcript.pyannote[1045].start 8757.71721875
transcript.pyannote[1045].end 8763.70784375
transcript.pyannote[1046].speaker SPEAKER_04
transcript.pyannote[1046].start 8763.99471875
transcript.pyannote[1046].end 8764.02846875
transcript.pyannote[1047].speaker SPEAKER_06
transcript.pyannote[1047].start 8764.02846875
transcript.pyannote[1047].end 8768.51721875
transcript.pyannote[1048].speaker SPEAKER_04
transcript.pyannote[1048].start 8766.79596875
transcript.pyannote[1048].end 8767.21784375
transcript.pyannote[1049].speaker SPEAKER_04
transcript.pyannote[1049].start 8768.51721875
transcript.pyannote[1049].end 8768.97284375
transcript.pyannote[1050].speaker SPEAKER_15
transcript.pyannote[1050].start 8768.97284375
transcript.pyannote[1050].end 8769.12471875
transcript.pyannote[1051].speaker SPEAKER_04
transcript.pyannote[1051].start 8769.12471875
transcript.pyannote[1051].end 8770.03596875
transcript.pyannote[1052].speaker SPEAKER_15
transcript.pyannote[1052].start 8770.03596875
transcript.pyannote[1052].end 8770.12034375
transcript.pyannote[1053].speaker SPEAKER_04
transcript.pyannote[1053].start 8770.12034375
transcript.pyannote[1053].end 8770.22159375
transcript.pyannote[1054].speaker SPEAKER_15
transcript.pyannote[1054].start 8770.22159375
transcript.pyannote[1054].end 8770.23846875
transcript.pyannote[1055].speaker SPEAKER_15
transcript.pyannote[1055].start 8770.50846875
transcript.pyannote[1055].end 8774.71034375
transcript.pyannote[1056].speaker SPEAKER_12
transcript.pyannote[1056].start 8795.85471875
transcript.pyannote[1056].end 8798.94284375
transcript.pyannote[1057].speaker SPEAKER_01
transcript.pyannote[1057].start 8799.19596875
transcript.pyannote[1057].end 8799.85409375
transcript.pyannote[1058].speaker SPEAKER_12
transcript.pyannote[1058].start 8804.47784375
transcript.pyannote[1058].end 8808.15659375
transcript.pyannote[1059].speaker SPEAKER_12
transcript.pyannote[1059].start 8808.76409375
transcript.pyannote[1059].end 8820.84659375
transcript.pyannote[1060].speaker SPEAKER_12
transcript.pyannote[1060].start 8821.63971875
transcript.pyannote[1060].end 8831.42721875
transcript.pyannote[1061].speaker SPEAKER_12
transcript.pyannote[1061].start 8832.55784375
transcript.pyannote[1061].end 8839.44284375
transcript.pyannote[1062].speaker SPEAKER_04
transcript.pyannote[1062].start 8837.01284375
transcript.pyannote[1062].end 8837.60346875
transcript.pyannote[1063].speaker SPEAKER_04
transcript.pyannote[1063].start 8838.34596875
transcript.pyannote[1063].end 8838.85221875
transcript.pyannote[1064].speaker SPEAKER_12
transcript.pyannote[1064].start 8839.66221875
transcript.pyannote[1064].end 8843.72909375
transcript.pyannote[1065].speaker SPEAKER_12
transcript.pyannote[1065].start 8844.10034375
transcript.pyannote[1065].end 8846.68221875
transcript.pyannote[1066].speaker SPEAKER_16
transcript.pyannote[1066].start 8846.93534375
transcript.pyannote[1066].end 8847.42471875
transcript.pyannote[1067].speaker SPEAKER_12
transcript.pyannote[1067].start 8847.71159375
transcript.pyannote[1067].end 8848.97721875
transcript.pyannote[1068].speaker SPEAKER_04
transcript.pyannote[1068].start 8848.97721875
transcript.pyannote[1068].end 8849.02784375
transcript.pyannote[1069].speaker SPEAKER_12
transcript.pyannote[1069].start 8849.02784375
transcript.pyannote[1069].end 8849.44971875
transcript.pyannote[1070].speaker SPEAKER_04
transcript.pyannote[1070].start 8849.44971875
transcript.pyannote[1070].end 8851.03596875
transcript.pyannote[1071].speaker SPEAKER_12
transcript.pyannote[1071].start 8851.03596875
transcript.pyannote[1071].end 8852.75721875
transcript.pyannote[1072].speaker SPEAKER_04
transcript.pyannote[1072].start 8851.08659375
transcript.pyannote[1072].end 8854.14096875
transcript.pyannote[1073].speaker SPEAKER_12
transcript.pyannote[1073].start 8854.14096875
transcript.pyannote[1073].end 8865.02534375
transcript.pyannote[1074].speaker SPEAKER_04
transcript.pyannote[1074].start 8862.71346875
transcript.pyannote[1074].end 8869.48034375
transcript.pyannote[1075].speaker SPEAKER_12
transcript.pyannote[1075].start 8865.37971875
transcript.pyannote[1075].end 8865.64971875
transcript.pyannote[1076].speaker SPEAKER_12
transcript.pyannote[1076].start 8866.29096875
transcript.pyannote[1076].end 8866.57784375
transcript.pyannote[1077].speaker SPEAKER_12
transcript.pyannote[1077].start 8866.66221875
transcript.pyannote[1077].end 8866.67909375
transcript.pyannote[1078].speaker SPEAKER_12
transcript.pyannote[1078].start 8867.32034375
transcript.pyannote[1078].end 8875.63971875
transcript.pyannote[1079].speaker SPEAKER_04
transcript.pyannote[1079].start 8869.69971875
transcript.pyannote[1079].end 8870.23971875
transcript.pyannote[1080].speaker SPEAKER_12
transcript.pyannote[1080].start 8875.79159375
transcript.pyannote[1080].end 8877.74909375
transcript.pyannote[1081].speaker SPEAKER_12
transcript.pyannote[1081].start 8878.17096875
transcript.pyannote[1081].end 8888.44784375
transcript.pyannote[1082].speaker SPEAKER_00
transcript.pyannote[1082].start 8879.70659375
transcript.pyannote[1082].end 8879.77409375
transcript.pyannote[1083].speaker SPEAKER_08
transcript.pyannote[1083].start 8879.77409375
transcript.pyannote[1083].end 8879.97659375
transcript.pyannote[1084].speaker SPEAKER_00
transcript.pyannote[1084].start 8879.97659375
transcript.pyannote[1084].end 8880.02721875
transcript.pyannote[1085].speaker SPEAKER_04
transcript.pyannote[1085].start 8880.02721875
transcript.pyannote[1085].end 8880.21284375
transcript.pyannote[1086].speaker SPEAKER_04
transcript.pyannote[1086].start 8880.61784375
transcript.pyannote[1086].end 8881.42784375
transcript.pyannote[1087].speaker SPEAKER_04
transcript.pyannote[1087].start 8887.85721875
transcript.pyannote[1087].end 8898.31971875
transcript.pyannote[1088].speaker SPEAKER_12
transcript.pyannote[1088].start 8889.76409375
transcript.pyannote[1088].end 8894.72534375
transcript.pyannote[1089].speaker SPEAKER_12
transcript.pyannote[1089].start 8896.02471875
transcript.pyannote[1089].end 8896.59846875
transcript.pyannote[1090].speaker SPEAKER_12
transcript.pyannote[1090].start 8898.31971875
transcript.pyannote[1090].end 8903.06159375
transcript.pyannote[1091].speaker SPEAKER_04
transcript.pyannote[1091].start 8898.42096875
transcript.pyannote[1091].end 8900.61471875
transcript.pyannote[1092].speaker SPEAKER_04
transcript.pyannote[1092].start 8901.28971875
transcript.pyannote[1092].end 8901.79596875
transcript.pyannote[1093].speaker SPEAKER_12
transcript.pyannote[1093].start 8903.71971875
transcript.pyannote[1093].end 8904.32721875
transcript.pyannote[1094].speaker SPEAKER_12
transcript.pyannote[1094].start 8905.67721875
transcript.pyannote[1094].end 8908.34346875
transcript.pyannote[1095].speaker SPEAKER_12
transcript.pyannote[1095].start 8908.63034375
transcript.pyannote[1095].end 8915.75159375
transcript.pyannote[1096].speaker SPEAKER_04
transcript.pyannote[1096].start 8912.12346875
transcript.pyannote[1096].end 8918.53596875
transcript.pyannote[1097].speaker SPEAKER_12
transcript.pyannote[1097].start 8917.52346875
transcript.pyannote[1097].end 8924.34096875
transcript.pyannote[1098].speaker SPEAKER_04
transcript.pyannote[1098].start 8920.69596875
transcript.pyannote[1098].end 8924.69534375
transcript.pyannote[1099].speaker SPEAKER_12
transcript.pyannote[1099].start 8924.69534375
transcript.pyannote[1099].end 8924.76284375
transcript.pyannote[1100].speaker SPEAKER_04
transcript.pyannote[1100].start 8924.76284375
transcript.pyannote[1100].end 8924.79659375
transcript.pyannote[1101].speaker SPEAKER_12
transcript.pyannote[1101].start 8924.79659375
transcript.pyannote[1101].end 8924.81346875
transcript.pyannote[1102].speaker SPEAKER_04
transcript.pyannote[1102].start 8924.81346875
transcript.pyannote[1102].end 8924.86409375
transcript.pyannote[1103].speaker SPEAKER_12
transcript.pyannote[1103].start 8924.86409375
transcript.pyannote[1103].end 8924.88096875
transcript.pyannote[1104].speaker SPEAKER_04
transcript.pyannote[1104].start 8924.88096875
transcript.pyannote[1104].end 8924.89784375
transcript.pyannote[1105].speaker SPEAKER_12
transcript.pyannote[1105].start 8924.89784375
transcript.pyannote[1105].end 8958.15846875
transcript.pyannote[1106].speaker SPEAKER_04
transcript.pyannote[1106].start 8926.02846875
transcript.pyannote[1106].end 8928.25596875
transcript.pyannote[1107].speaker SPEAKER_04
transcript.pyannote[1107].start 8936.98034375
transcript.pyannote[1107].end 8940.52409375
transcript.pyannote[1108].speaker SPEAKER_04
transcript.pyannote[1108].start 8941.03034375
transcript.pyannote[1108].end 8941.13159375
transcript.pyannote[1109].speaker SPEAKER_04
transcript.pyannote[1109].start 8941.38471875
transcript.pyannote[1109].end 8942.68409375
transcript.pyannote[1110].speaker SPEAKER_04
transcript.pyannote[1110].start 8943.64596875
transcript.pyannote[1110].end 8943.91596875
transcript.pyannote[1111].speaker SPEAKER_04
transcript.pyannote[1111].start 8953.83846875
transcript.pyannote[1111].end 8955.15471875
transcript.pyannote[1112].speaker SPEAKER_12
transcript.pyannote[1112].start 8958.41159375
transcript.pyannote[1112].end 8971.45596875
transcript.pyannote[1113].speaker SPEAKER_08
transcript.pyannote[1113].start 8962.02284375
transcript.pyannote[1113].end 8962.39409375
transcript.pyannote[1114].speaker SPEAKER_04
transcript.pyannote[1114].start 8962.39409375
transcript.pyannote[1114].end 8962.52909375
transcript.pyannote[1115].speaker SPEAKER_08
transcript.pyannote[1115].start 8962.52909375
transcript.pyannote[1115].end 8962.71471875
transcript.pyannote[1116].speaker SPEAKER_04
transcript.pyannote[1116].start 8962.71471875
transcript.pyannote[1116].end 8962.84971875
transcript.pyannote[1117].speaker SPEAKER_08
transcript.pyannote[1117].start 8963.91284375
transcript.pyannote[1117].end 8964.97596875
transcript.pyannote[1118].speaker SPEAKER_04
transcript.pyannote[1118].start 8964.97596875
transcript.pyannote[1118].end 8965.22909375
transcript.pyannote[1119].speaker SPEAKER_08
transcript.pyannote[1119].start 8965.22909375
transcript.pyannote[1119].end 8965.36409375
transcript.pyannote[1120].speaker SPEAKER_04
transcript.pyannote[1120].start 8971.45596875
transcript.pyannote[1120].end 8971.64159375
transcript.pyannote[1121].speaker SPEAKER_12
transcript.pyannote[1121].start 8971.72596875
transcript.pyannote[1121].end 8973.93659375
transcript.pyannote[1122].speaker SPEAKER_04
transcript.pyannote[1122].start 8973.93659375
transcript.pyannote[1122].end 8976.51846875
transcript.pyannote[1123].speaker SPEAKER_12
transcript.pyannote[1123].start 8974.03784375
transcript.pyannote[1123].end 8975.15159375
transcript.pyannote[1124].speaker SPEAKER_12
transcript.pyannote[1124].start 8976.51846875
transcript.pyannote[1124].end 8986.00221875
transcript.pyannote[1125].speaker SPEAKER_04
transcript.pyannote[1125].start 8977.76721875
transcript.pyannote[1125].end 8978.42534375
transcript.pyannote[1126].speaker SPEAKER_04
transcript.pyannote[1126].start 8982.17159375
transcript.pyannote[1126].end 8983.23471875
transcript.pyannote[1127].speaker SPEAKER_04
transcript.pyannote[1127].start 8983.75784375
transcript.pyannote[1127].end 8985.36096875
transcript.pyannote[1128].speaker SPEAKER_12
transcript.pyannote[1128].start 8986.12034375
transcript.pyannote[1128].end 8986.13721875
transcript.pyannote[1129].speaker SPEAKER_04
transcript.pyannote[1129].start 8986.13721875
transcript.pyannote[1129].end 8993.03909375
transcript.pyannote[1130].speaker SPEAKER_12
transcript.pyannote[1130].start 8987.13284375
transcript.pyannote[1130].end 8987.21721875
transcript.pyannote[1131].speaker SPEAKER_12
transcript.pyannote[1131].start 8987.26784375
transcript.pyannote[1131].end 8988.48284375
transcript.pyannote[1132].speaker SPEAKER_12
transcript.pyannote[1132].start 8993.03909375
transcript.pyannote[1132].end 8994.05159375
transcript.pyannote[1133].speaker SPEAKER_04
transcript.pyannote[1133].start 8994.74346875
transcript.pyannote[1133].end 8994.87846875
transcript.pyannote[1134].speaker SPEAKER_12
transcript.pyannote[1134].start 8995.01346875
transcript.pyannote[1134].end 9007.75409375
transcript.pyannote[1135].speaker SPEAKER_00
transcript.pyannote[1135].start 9000.09284375
transcript.pyannote[1135].end 9000.37971875
transcript.pyannote[1136].speaker SPEAKER_12
transcript.pyannote[1136].start 9010.13346875
transcript.pyannote[1136].end 9014.90909375
transcript.pyannote[1137].speaker SPEAKER_12
transcript.pyannote[1137].start 9014.99346875
transcript.pyannote[1137].end 9015.39846875
transcript.pyannote[1138].speaker SPEAKER_12
transcript.pyannote[1138].start 9015.63471875
transcript.pyannote[1138].end 9021.00096875
transcript.pyannote[1139].speaker SPEAKER_08
transcript.pyannote[1139].start 9015.65159375
transcript.pyannote[1139].end 9020.32596875
transcript.pyannote[1140].speaker SPEAKER_12
transcript.pyannote[1140].start 9021.43971875
transcript.pyannote[1140].end 9031.02471875
transcript.pyannote[1141].speaker SPEAKER_13
transcript.pyannote[1141].start 9027.93659375
transcript.pyannote[1141].end 9027.98721875
transcript.pyannote[1142].speaker SPEAKER_12
transcript.pyannote[1142].start 9031.66596875
transcript.pyannote[1142].end 9041.14971875
transcript.pyannote[1143].speaker SPEAKER_12
transcript.pyannote[1143].start 9041.60534375
transcript.pyannote[1143].end 9071.79471875
transcript.pyannote[1144].speaker SPEAKER_12
transcript.pyannote[1144].start 9071.92971875
transcript.pyannote[1144].end 9072.38534375
transcript.pyannote[1145].speaker SPEAKER_12
transcript.pyannote[1145].start 9073.00971875
transcript.pyannote[1145].end 9076.19909375
transcript.pyannote[1146].speaker SPEAKER_12
transcript.pyannote[1146].start 9076.89096875
transcript.pyannote[1146].end 9093.58034375
transcript.pyannote[1147].speaker SPEAKER_04
transcript.pyannote[1147].start 9086.50971875
transcript.pyannote[1147].end 9086.81346875
transcript.pyannote[1148].speaker SPEAKER_04
transcript.pyannote[1148].start 9093.58034375
transcript.pyannote[1148].end 9099.55409375
transcript.pyannote[1149].speaker SPEAKER_12
transcript.pyannote[1149].start 9094.87971875
transcript.pyannote[1149].end 9095.89221875
transcript.pyannote[1150].speaker SPEAKER_12
transcript.pyannote[1150].start 9099.38534375
transcript.pyannote[1150].end 9116.41221875
transcript.pyannote[1151].speaker SPEAKER_12
transcript.pyannote[1151].start 9117.23909375
transcript.pyannote[1151].end 9149.45346875
transcript.pyannote[1152].speaker SPEAKER_12
transcript.pyannote[1152].start 9149.95971875
transcript.pyannote[1152].end 9178.07346875
transcript.pyannote[1153].speaker SPEAKER_00
transcript.pyannote[1153].start 9156.62534375
transcript.pyannote[1153].end 9156.64221875
transcript.pyannote[1154].speaker SPEAKER_13
transcript.pyannote[1154].start 9156.64221875
transcript.pyannote[1154].end 9157.13159375
transcript.pyannote[1155].speaker SPEAKER_00
transcript.pyannote[1155].start 9157.13159375
transcript.pyannote[1155].end 9157.16534375
transcript.pyannote[1156].speaker SPEAKER_12
transcript.pyannote[1156].start 9178.47846875
transcript.pyannote[1156].end 9193.68284375
transcript.pyannote[1157].speaker SPEAKER_12
transcript.pyannote[1157].start 9194.05409375
transcript.pyannote[1157].end 9198.42471875
transcript.pyannote[1158].speaker SPEAKER_12
transcript.pyannote[1158].start 9198.59346875
transcript.pyannote[1158].end 9200.29784375
transcript.pyannote[1159].speaker SPEAKER_12
transcript.pyannote[1159].start 9200.87159375
transcript.pyannote[1159].end 9203.18346875
transcript.pyannote[1160].speaker SPEAKER_12
transcript.pyannote[1160].start 9203.55471875
transcript.pyannote[1160].end 9224.29409375
transcript.pyannote[1161].speaker SPEAKER_04
transcript.pyannote[1161].start 9224.58096875
transcript.pyannote[1161].end 9234.33471875
transcript.pyannote[1162].speaker SPEAKER_12
transcript.pyannote[1162].start 9227.80409375
transcript.pyannote[1162].end 9228.32721875
transcript.pyannote[1163].speaker SPEAKER_12
transcript.pyannote[1163].start 9234.33471875
transcript.pyannote[1163].end 9235.38096875
transcript.pyannote[1164].speaker SPEAKER_04
transcript.pyannote[1164].start 9234.67221875
transcript.pyannote[1164].end 9239.51534375
transcript.pyannote[1165].speaker SPEAKER_12
transcript.pyannote[1165].start 9237.60846875
transcript.pyannote[1165].end 9237.89534375
transcript.pyannote[1166].speaker SPEAKER_12
transcript.pyannote[1166].start 9237.91221875
transcript.pyannote[1166].end 9250.26471875
transcript.pyannote[1167].speaker SPEAKER_12
transcript.pyannote[1167].start 9250.87221875
transcript.pyannote[1167].end 9255.74909375
transcript.pyannote[1168].speaker SPEAKER_12
transcript.pyannote[1168].start 9256.15409375
transcript.pyannote[1168].end 9260.17034375
transcript.pyannote[1169].speaker SPEAKER_12
transcript.pyannote[1169].start 9260.74409375
transcript.pyannote[1169].end 9308.21346875
transcript.pyannote[1170].speaker SPEAKER_04
transcript.pyannote[1170].start 9272.67471875
transcript.pyannote[1170].end 9274.05846875
transcript.pyannote[1171].speaker SPEAKER_08
transcript.pyannote[1171].start 9274.05846875
transcript.pyannote[1171].end 9274.51409375
transcript.pyannote[1172].speaker SPEAKER_04
transcript.pyannote[1172].start 9278.42909375
transcript.pyannote[1172].end 9279.00284375
transcript.pyannote[1173].speaker SPEAKER_04
transcript.pyannote[1173].start 9281.55096875
transcript.pyannote[1173].end 9281.56784375
transcript.pyannote[1174].speaker SPEAKER_08
transcript.pyannote[1174].start 9281.56784375
transcript.pyannote[1174].end 9282.56346875
transcript.pyannote[1175].speaker SPEAKER_04
transcript.pyannote[1175].start 9282.56346875
transcript.pyannote[1175].end 9282.73221875
transcript.pyannote[1176].speaker SPEAKER_08
transcript.pyannote[1176].start 9282.73221875
transcript.pyannote[1176].end 9282.76596875
transcript.pyannote[1177].speaker SPEAKER_04
transcript.pyannote[1177].start 9282.76596875
transcript.pyannote[1177].end 9282.81659375
transcript.pyannote[1178].speaker SPEAKER_04
transcript.pyannote[1178].start 9285.01034375
transcript.pyannote[1178].end 9285.98909375
transcript.pyannote[1179].speaker SPEAKER_02
transcript.pyannote[1179].start 9285.98909375
transcript.pyannote[1179].end 9286.00596875
transcript.pyannote[1180].speaker SPEAKER_04
transcript.pyannote[1180].start 9287.32221875
transcript.pyannote[1180].end 9287.35596875
transcript.pyannote[1181].speaker SPEAKER_02
transcript.pyannote[1181].start 9287.35596875
transcript.pyannote[1181].end 9287.49096875
transcript.pyannote[1182].speaker SPEAKER_04
transcript.pyannote[1182].start 9287.49096875
transcript.pyannote[1182].end 9287.96346875
transcript.pyannote[1183].speaker SPEAKER_02
transcript.pyannote[1183].start 9287.96346875
transcript.pyannote[1183].end 9288.63846875
transcript.pyannote[1184].speaker SPEAKER_02
transcript.pyannote[1184].start 9291.72659375
transcript.pyannote[1184].end 9291.96284375
transcript.pyannote[1185].speaker SPEAKER_02
transcript.pyannote[1185].start 9292.19909375
transcript.pyannote[1185].end 9292.97534375
transcript.pyannote[1186].speaker SPEAKER_00
transcript.pyannote[1186].start 9292.97534375
transcript.pyannote[1186].end 9293.66721875
transcript.pyannote[1187].speaker SPEAKER_00
transcript.pyannote[1187].start 9299.74221875
transcript.pyannote[1187].end 9303.84284375
transcript.pyannote[1188].speaker SPEAKER_00
transcript.pyannote[1188].start 9304.51784375
transcript.pyannote[1188].end 9306.03659375
transcript.pyannote[1189].speaker SPEAKER_03
transcript.pyannote[1189].start 9306.03659375
transcript.pyannote[1189].end 9306.55971875
transcript.pyannote[1190].speaker SPEAKER_00
transcript.pyannote[1190].start 9306.55971875
transcript.pyannote[1190].end 9306.76221875
transcript.pyannote[1191].speaker SPEAKER_12
transcript.pyannote[1191].start 9308.46659375
transcript.pyannote[1191].end 9331.04534375
transcript.pyannote[1192].speaker SPEAKER_04
transcript.pyannote[1192].start 9313.24221875
transcript.pyannote[1192].end 9313.25909375
transcript.pyannote[1193].speaker SPEAKER_02
transcript.pyannote[1193].start 9313.25909375
transcript.pyannote[1193].end 9313.27596875
transcript.pyannote[1194].speaker SPEAKER_04
transcript.pyannote[1194].start 9313.27596875
transcript.pyannote[1194].end 9314.81159375
transcript.pyannote[1195].speaker SPEAKER_04
transcript.pyannote[1195].start 9316.21221875
transcript.pyannote[1195].end 9317.68034375
transcript.pyannote[1196].speaker SPEAKER_04
transcript.pyannote[1196].start 9319.70534375
transcript.pyannote[1196].end 9320.19471875
transcript.pyannote[1197].speaker SPEAKER_04
transcript.pyannote[1197].start 9323.60346875
transcript.pyannote[1197].end 9323.63721875
transcript.pyannote[1198].speaker SPEAKER_08
transcript.pyannote[1198].start 9323.63721875
transcript.pyannote[1198].end 9324.26159375
transcript.pyannote[1199].speaker SPEAKER_12
transcript.pyannote[1199].start 9331.06221875
transcript.pyannote[1199].end 9331.23096875
transcript.pyannote[1200].speaker SPEAKER_08
transcript.pyannote[1200].start 9331.23096875
transcript.pyannote[1200].end 9331.29846875
transcript.pyannote[1201].speaker SPEAKER_12
transcript.pyannote[1201].start 9331.29846875
transcript.pyannote[1201].end 9331.41659375
transcript.pyannote[1202].speaker SPEAKER_12
transcript.pyannote[1202].start 9331.48409375
transcript.pyannote[1202].end 9337.77846875
transcript.pyannote[1203].speaker SPEAKER_12
transcript.pyannote[1203].start 9338.94284375
transcript.pyannote[1203].end 9348.15659375
transcript.pyannote[1204].speaker SPEAKER_12
transcript.pyannote[1204].start 9348.44346875
transcript.pyannote[1204].end 9356.96534375
transcript.pyannote[1205].speaker SPEAKER_12
transcript.pyannote[1205].start 9357.52221875
transcript.pyannote[1205].end 9377.58659375
transcript.pyannote[1206].speaker SPEAKER_04
transcript.pyannote[1206].start 9377.21534375
transcript.pyannote[1206].end 9394.96784375
transcript.pyannote[1207].speaker SPEAKER_08
transcript.pyannote[1207].start 9386.83409375
transcript.pyannote[1207].end 9387.12096875
transcript.pyannote[1208].speaker SPEAKER_03
transcript.pyannote[1208].start 9390.79971875
transcript.pyannote[1208].end 9391.03596875
transcript.pyannote[1209].speaker SPEAKER_12
transcript.pyannote[1209].start 9391.03596875
transcript.pyannote[1209].end 9392.01471875
transcript.pyannote[1210].speaker SPEAKER_12
transcript.pyannote[1210].start 9394.96784375
transcript.pyannote[1210].end 9427.03034375
transcript.pyannote[1211].speaker SPEAKER_04
transcript.pyannote[1211].start 9396.99284375
transcript.pyannote[1211].end 9397.60034375
transcript.pyannote[1212].speaker SPEAKER_08
transcript.pyannote[1212].start 9404.62034375
transcript.pyannote[1212].end 9405.10971875
transcript.pyannote[1213].speaker SPEAKER_04
transcript.pyannote[1213].start 9421.81596875
transcript.pyannote[1213].end 9422.44034375
transcript.pyannote[1214].speaker SPEAKER_01
transcript.pyannote[1214].start 9422.44034375
transcript.pyannote[1214].end 9422.45721875
transcript.pyannote[1215].speaker SPEAKER_04
transcript.pyannote[1215].start 9425.27534375
transcript.pyannote[1215].end 9436.19346875
transcript.pyannote[1216].speaker SPEAKER_12
transcript.pyannote[1216].start 9433.62846875
transcript.pyannote[1216].end 9452.20784375
transcript.pyannote[1217].speaker SPEAKER_04
transcript.pyannote[1217].start 9440.09159375
transcript.pyannote[1217].end 9442.15034375
transcript.pyannote[1218].speaker SPEAKER_00
transcript.pyannote[1218].start 9442.15034375
transcript.pyannote[1218].end 9442.16721875
transcript.pyannote[1219].speaker SPEAKER_00
transcript.pyannote[1219].start 9443.85471875
transcript.pyannote[1219].end 9444.02346875
transcript.pyannote[1220].speaker SPEAKER_04
transcript.pyannote[1220].start 9444.02346875
transcript.pyannote[1220].end 9447.07784375
transcript.pyannote[1221].speaker SPEAKER_08
transcript.pyannote[1221].start 9447.07784375
transcript.pyannote[1221].end 9447.33096875
transcript.pyannote[1222].speaker SPEAKER_12
transcript.pyannote[1222].start 9452.74784375
transcript.pyannote[1222].end 9471.63096875
transcript.pyannote[1223].speaker SPEAKER_08
transcript.pyannote[1223].start 9457.64159375
transcript.pyannote[1223].end 9457.96221875
transcript.pyannote[1224].speaker SPEAKER_04
transcript.pyannote[1224].start 9457.96221875
transcript.pyannote[1224].end 9460.57784375
transcript.pyannote[1225].speaker SPEAKER_04
transcript.pyannote[1225].start 9461.37096875
transcript.pyannote[1225].end 9461.38784375
transcript.pyannote[1226].speaker SPEAKER_14
transcript.pyannote[1226].start 9461.38784375
transcript.pyannote[1226].end 9461.42159375
transcript.pyannote[1227].speaker SPEAKER_04
transcript.pyannote[1227].start 9461.42159375
transcript.pyannote[1227].end 9462.97409375
transcript.pyannote[1228].speaker SPEAKER_14
transcript.pyannote[1228].start 9466.68659375
transcript.pyannote[1228].end 9466.70346875
transcript.pyannote[1229].speaker SPEAKER_04
transcript.pyannote[1229].start 9466.70346875
transcript.pyannote[1229].end 9467.19284375
transcript.pyannote[1230].speaker SPEAKER_04
transcript.pyannote[1230].start 9472.74471875
transcript.pyannote[1230].end 9473.80784375
transcript.pyannote[1231].speaker SPEAKER_06
transcript.pyannote[1231].start 9477.01409375
transcript.pyannote[1231].end 9489.75471875
transcript.pyannote[1232].speaker SPEAKER_00
transcript.pyannote[1232].start 9499.17096875
transcript.pyannote[1232].end 9502.51221875
transcript.pyannote[1233].speaker SPEAKER_00
transcript.pyannote[1233].start 9505.66784375
transcript.pyannote[1233].end 9508.48596875
transcript.pyannote[1234].speaker SPEAKER_00
transcript.pyannote[1234].start 9508.99221875
transcript.pyannote[1234].end 9513.43034375
transcript.pyannote[1235].speaker SPEAKER_00
transcript.pyannote[1235].start 9515.26971875
transcript.pyannote[1235].end 9527.63909375
transcript.pyannote[1236].speaker SPEAKER_00
transcript.pyannote[1236].start 9527.72346875
transcript.pyannote[1236].end 9533.69721875
transcript.pyannote[1237].speaker SPEAKER_00
transcript.pyannote[1237].start 9534.20346875
transcript.pyannote[1237].end 9542.94471875
transcript.pyannote[1238].speaker SPEAKER_00
transcript.pyannote[1238].start 9543.06284375
transcript.pyannote[1238].end 9550.18409375
transcript.pyannote[1239].speaker SPEAKER_08
transcript.pyannote[1239].start 9543.16409375
transcript.pyannote[1239].end 9543.40034375
transcript.pyannote[1240].speaker SPEAKER_04
transcript.pyannote[1240].start 9550.47096875
transcript.pyannote[1240].end 9556.37721875
transcript.pyannote[1241].speaker SPEAKER_04
transcript.pyannote[1241].start 9556.61346875
transcript.pyannote[1241].end 9560.93346875
transcript.pyannote[1242].speaker SPEAKER_04
transcript.pyannote[1242].start 9561.47346875
transcript.pyannote[1242].end 9603.03659375
transcript.pyannote[1243].speaker SPEAKER_08
transcript.pyannote[1243].start 9564.40971875
transcript.pyannote[1243].end 9564.96659375
transcript.pyannote[1244].speaker SPEAKER_00
transcript.pyannote[1244].start 9564.96659375
transcript.pyannote[1244].end 9565.38846875
transcript.pyannote[1245].speaker SPEAKER_00
transcript.pyannote[1245].start 9603.18846875
transcript.pyannote[1245].end 9607.18784375
transcript.pyannote[1246].speaker SPEAKER_00
transcript.pyannote[1246].start 9607.59284375
transcript.pyannote[1246].end 9612.28409375
transcript.pyannote[1247].speaker SPEAKER_08
transcript.pyannote[1247].start 9612.25034375
transcript.pyannote[1247].end 9612.60471875
transcript.pyannote[1248].speaker SPEAKER_00
transcript.pyannote[1248].start 9612.73971875
transcript.pyannote[1248].end 9613.92096875
transcript.pyannote[1249].speaker SPEAKER_08
transcript.pyannote[1249].start 9612.82409375
transcript.pyannote[1249].end 9613.46534375
transcript.pyannote[1250].speaker SPEAKER_00
transcript.pyannote[1250].start 9614.22471875
transcript.pyannote[1250].end 9641.39346875
transcript.pyannote[1251].speaker SPEAKER_04
transcript.pyannote[1251].start 9641.57909375
transcript.pyannote[1251].end 9662.90909375
transcript.pyannote[1252].speaker SPEAKER_00
transcript.pyannote[1252].start 9642.50721875
transcript.pyannote[1252].end 9642.77721875
transcript.pyannote[1253].speaker SPEAKER_00
transcript.pyannote[1253].start 9662.87534375
transcript.pyannote[1253].end 9688.25534375
transcript.pyannote[1254].speaker SPEAKER_04
transcript.pyannote[1254].start 9663.21284375
transcript.pyannote[1254].end 9663.41534375
transcript.pyannote[1255].speaker SPEAKER_04
transcript.pyannote[1255].start 9688.42409375
transcript.pyannote[1255].end 9691.07346875
transcript.pyannote[1256].speaker SPEAKER_00
transcript.pyannote[1256].start 9692.05221875
transcript.pyannote[1256].end 9714.59721875
transcript.pyannote[1257].speaker SPEAKER_00
transcript.pyannote[1257].start 9715.03596875
transcript.pyannote[1257].end 9723.47346875
transcript.pyannote[1258].speaker SPEAKER_04
transcript.pyannote[1258].start 9723.54096875
transcript.pyannote[1258].end 9747.63846875
transcript.pyannote[1259].speaker SPEAKER_00
transcript.pyannote[1259].start 9748.34721875
transcript.pyannote[1259].end 9763.92284375
transcript.pyannote[1260].speaker SPEAKER_00
transcript.pyannote[1260].start 9764.39534375
transcript.pyannote[1260].end 9779.11034375
transcript.pyannote[1261].speaker SPEAKER_00
transcript.pyannote[1261].start 9779.58284375
transcript.pyannote[1261].end 9782.46846875
transcript.pyannote[1262].speaker SPEAKER_00
transcript.pyannote[1262].start 9782.97471875
transcript.pyannote[1262].end 9788.47596875
transcript.pyannote[1263].speaker SPEAKER_04
transcript.pyannote[1263].start 9788.56034375
transcript.pyannote[1263].end 9815.29034375
transcript.pyannote[1264].speaker SPEAKER_00
transcript.pyannote[1264].start 9815.29034375
transcript.pyannote[1264].end 9828.21659375
transcript.pyannote[1265].speaker SPEAKER_00
transcript.pyannote[1265].start 9828.36846875
transcript.pyannote[1265].end 9846.89721875
transcript.pyannote[1266].speaker SPEAKER_04
transcript.pyannote[1266].start 9847.01534375
transcript.pyannote[1266].end 9850.28909375
transcript.pyannote[1267].speaker SPEAKER_00
transcript.pyannote[1267].start 9850.79534375
transcript.pyannote[1267].end 9850.86284375
transcript.pyannote[1268].speaker SPEAKER_00
transcript.pyannote[1268].start 9851.18346875
transcript.pyannote[1268].end 9853.51221875
transcript.pyannote[1269].speaker SPEAKER_00
transcript.pyannote[1269].start 9853.76534375
transcript.pyannote[1269].end 9890.95784375
transcript.pyannote[1270].speaker SPEAKER_04
transcript.pyannote[1270].start 9892.42596875
transcript.pyannote[1270].end 9892.57784375
transcript.pyannote[1271].speaker SPEAKER_04
transcript.pyannote[1271].start 9894.63659375
transcript.pyannote[1271].end 9911.27534375
transcript.pyannote[1272].speaker SPEAKER_04
transcript.pyannote[1272].start 9911.41034375
transcript.pyannote[1272].end 9913.35096875
transcript.pyannote[1273].speaker SPEAKER_00
transcript.pyannote[1273].start 9913.35096875
transcript.pyannote[1273].end 9915.15659375
transcript.pyannote[1274].speaker SPEAKER_04
transcript.pyannote[1274].start 9914.48159375
transcript.pyannote[1274].end 9917.19846875
transcript.pyannote[1275].speaker SPEAKER_00
transcript.pyannote[1275].start 9916.37159375
transcript.pyannote[1275].end 9916.82721875
transcript.pyannote[1276].speaker SPEAKER_00
transcript.pyannote[1276].start 9916.94534375
transcript.pyannote[1276].end 9918.14346875
transcript.pyannote[1277].speaker SPEAKER_04
transcript.pyannote[1277].start 9918.14346875
transcript.pyannote[1277].end 9936.35159375
transcript.pyannote[1278].speaker SPEAKER_00
transcript.pyannote[1278].start 9921.77159375
transcript.pyannote[1278].end 9923.18909375
transcript.pyannote[1279].speaker SPEAKER_00
transcript.pyannote[1279].start 9936.40221875
transcript.pyannote[1279].end 9952.11284375
transcript.pyannote[1280].speaker SPEAKER_04
transcript.pyannote[1280].start 9943.77659375
transcript.pyannote[1280].end 9944.09721875
transcript.pyannote[1281].speaker SPEAKER_00
transcript.pyannote[1281].start 9952.14659375
transcript.pyannote[1281].end 9952.16346875
transcript.pyannote[1282].speaker SPEAKER_04
transcript.pyannote[1282].start 9952.16346875
transcript.pyannote[1282].end 9985.96409375
transcript.pyannote[1283].speaker SPEAKER_00
transcript.pyannote[1283].start 9952.21409375
transcript.pyannote[1283].end 9952.24784375
transcript.pyannote[1284].speaker SPEAKER_00
transcript.pyannote[1284].start 9952.39971875
transcript.pyannote[1284].end 9953.63159375
transcript.pyannote[1285].speaker SPEAKER_00
transcript.pyannote[1285].start 9986.48721875
transcript.pyannote[1285].end 9990.50346875
transcript.pyannote[1286].speaker SPEAKER_04
transcript.pyannote[1286].start 9990.68909375
transcript.pyannote[1286].end 9995.73471875
transcript.pyannote[1287].speaker SPEAKER_00
transcript.pyannote[1287].start 9991.54971875
transcript.pyannote[1287].end 9993.38909375
transcript.pyannote[1288].speaker SPEAKER_00
transcript.pyannote[1288].start 9994.33409375
transcript.pyannote[1288].end 10002.56909375
transcript.pyannote[1289].speaker SPEAKER_04
transcript.pyannote[1289].start 9997.06784375
transcript.pyannote[1289].end 9997.43909375
transcript.pyannote[1290].speaker SPEAKER_04
transcript.pyannote[1290].start 10000.93221875
transcript.pyannote[1290].end 10001.48909375
transcript.pyannote[1291].speaker SPEAKER_04
transcript.pyannote[1291].start 10002.56909375
transcript.pyannote[1291].end 10007.29409375
transcript.pyannote[1292].speaker SPEAKER_00
transcript.pyannote[1292].start 10007.29409375
transcript.pyannote[1292].end 10010.01096875
transcript.pyannote[1293].speaker SPEAKER_04
transcript.pyannote[1293].start 10009.40346875
transcript.pyannote[1293].end 10010.02784375
transcript.pyannote[1294].speaker SPEAKER_00
transcript.pyannote[1294].start 10010.02784375
transcript.pyannote[1294].end 10010.07846875
transcript.pyannote[1295].speaker SPEAKER_04
transcript.pyannote[1295].start 10010.07846875
transcript.pyannote[1295].end 10010.11221875
transcript.pyannote[1296].speaker SPEAKER_01
transcript.pyannote[1296].start 10014.38159375
transcript.pyannote[1296].end 10015.96784375
transcript.pyannote[1297].speaker SPEAKER_06
transcript.pyannote[1297].start 10015.96784375
transcript.pyannote[1297].end 10027.45971875
transcript.pyannote[1298].speaker SPEAKER_06
transcript.pyannote[1298].start 10028.62409375
transcript.pyannote[1298].end 10028.97846875
transcript.pyannote[1299].speaker SPEAKER_06
transcript.pyannote[1299].start 10029.29909375
transcript.pyannote[1299].end 10033.01159375
transcript.pyannote[1300].speaker SPEAKER_06
transcript.pyannote[1300].start 10036.23471875
transcript.pyannote[1300].end 10037.53409375
transcript.pyannote[1301].speaker SPEAKER_06
transcript.pyannote[1301].start 10037.66909375
transcript.pyannote[1301].end 10049.21159375
transcript.pyannote[1302].speaker SPEAKER_06
transcript.pyannote[1302].start 10049.73471875
transcript.pyannote[1302].end 10055.74221875
transcript.pyannote[1303].speaker SPEAKER_06
transcript.pyannote[1303].start 10056.33284375
transcript.pyannote[1303].end 10058.74596875
transcript.pyannote[1304].speaker SPEAKER_12
transcript.pyannote[1304].start 10065.27659375
transcript.pyannote[1304].end 10066.05284375
transcript.whisperx[0].start 1983.936
transcript.whisperx[0].end 1993.211
transcript.whisperx[0].text 好 我們現在開始開會 請主任秘書報告出席人數出席委員12人 已足法定人數好 現在開會 我們進行報告事項 請宣讀上次會議議事錄
transcript.whisperx[1].start 1996.363
transcript.whisperx[1].end 2019.991
transcript.whisperx[1].text 立法院第十一屆第三會期內政委員會第九次全體委員會議議事錄時間一百一十四年四月十日星期四下午一時三十八分至一時五十五分地點紅樓二零二會議室出席委員麥玉珍委員等十四人練習委員鍾嘉斌委員等七人練習官員內政部常務次長吳唐安記相關人員法務部參事廖江縣財政部國庫署工股管理組科長洪培明
transcript.whisperx[2].start 2020.911
transcript.whisperx[2].end 2047.089
transcript.whisperx[2].text 衛生福利部社會救助及社公司檢任視察王彥琴行政院主計總處公務預算處專門委員李培元主席牛召集委員許庭報告事項宣讀上次會議議事錄決定確定討論事項繼續審查委員丁學忠等16人委員張家俊等29人拟據委員劉建國等16人委員徐宇貞等18人及委員羅廷偉等17人分別拟據殯葬管理條例第21條之一條文修正草案
transcript.whisperx[3].start 2047.669
transcript.whisperx[3].end 2070.07
transcript.whisperx[3].text 审查委员洪梦凯等17人及委员鲁明哲等17人16人分别拟据殡葬管理条例第21条之一条文修正草案决议殡葬管理条例第21条之一条文修正草案等7案第21条之一修正通过条文修正如下第21条之一个指辖市县市政府列册之低收入户中低收入户使用指辖市县市或城市政事
transcript.whisperx[4].start 2070.931
transcript.whisperx[4].end 2095.775
transcript.whisperx[4].text 或鄉鎮市所經營或委託民間經營代理代管之下列公立殯葬設施免收使用管理相關費用一火化廠二骨灰海存放設施前項骨灰海存放設施免費之標準由直轄市縣市政府定之二並按審查完據領據審查報告提報院會討論不需交由黨團協商並推請牛召集委員許庭於院會討論時做補充說明宣讀完畢
transcript.whisperx[5].start 2098.545
transcript.whisperx[5].end 2118.381
transcript.whisperx[5].text 好請問各位委員上次會議意思錄有無錯誤或遺漏好那意思錄確定那我們繼續進行本日議程報告事項請宣讀邀請客家委員會主任委員率同所屬及財團法人客家公共傳播基金會董事長列席報告業務概況並備質詢宣讀完畢
transcript.whisperx[6].start 2122.564
transcript.whisperx[6].end 2150.886
transcript.whisperx[6].text 本日議程所列報告事項合併詢答我們現在介紹在場委員及列席官員張志倫委員王美惠委員黃婕委員蘇巧惠委員我們客委會主委、股秀會主委
transcript.whisperx[7].start 2153.407
transcript.whisperx[7].end 2175.5
transcript.whisperx[7].text 好 我們財團法人客家公共傳播基金會的董事長陳邦振還有客家電視台的台長向聖妍好那我們接下來請客家委員會股主任委員報告請簡短
transcript.whisperx[8].start 2186.933
transcript.whisperx[8].end 2197.584
transcript.whisperx[8].text 主席 各位議員 大家好 各位同事來到VNV 內處合格VNV的業務來做報告部委會發展有兩大風向 第一是支持合作合好成分第二是努力達成共合的反應113年 全國合格日 第100
transcript.whisperx[9].start 2209.062
transcript.whisperx[9].end 2216.267
transcript.whisperx[9].text 用槍眼來做主 為主來判論壇 同時呢槍眼參議會主席來判的七十三年次 七十三重視的英文法庭 讓我今年我們企圖的重範學中 學中提供重申 希望在入選 本議選的槍中議員 每一年一百萬的創業補助金 建立槍中議員返鄉支持的體內
transcript.whisperx[10].start 2237.661
transcript.whisperx[10].end 2241.386
transcript.whisperx[10].text 人們的經驗也提拔參加台北的國際署站來推廣國土基盤接下来就跟大家報告哈佛市的重點時針,提及在延續推動促進主流法
transcript.whisperx[11].start 2254.64
transcript.whisperx[11].end 2262.306
transcript.whisperx[11].text 永續創新客家文化我們持續推動各個客家發展計劃在當天在漢堡的行政院作為中央普惠堆客家相關市政的建基我們持續推動提防的客家發展計劃在擴展體提防業業文化永續發展
transcript.whisperx[12].start 2282.521
transcript.whisperx[12].end 2289.363
transcript.whisperx[12].text 聽到他們的說話,我們也將強硬的意見建立在不同的平台今年初,在成立第一屆強硬諮詢VMV在國台也將強硬公共答應交通的機制第三,在數位科技運用部分主要是在我們行業的推廣,推廣經濟部的懲罰
transcript.whisperx[13].start 2311.77
transcript.whisperx[13].end 2318.554
transcript.whisperx[13].text 他向苗栗學院在113年製作讀研的主題課程本期一線的顧問研員來送課公務的行業課程我們在學徒方面能夠改善自己的思考、名出、胖額來翻譯成行業實驗權來增加行業學徒的長途
transcript.whisperx[14].start 2339.788
transcript.whisperx[14].end 2347.956
transcript.whisperx[14].text 此外,我們在行業實質部分內擴大行業實質的培訓,透過輔助太學來開設各種文化的課程,並在各種文化體育和教育發展。
transcript.whisperx[15].start 2358.956
transcript.whisperx[15].end 2365.039
transcript.whisperx[15].text 在內,我們也正經在行政議員使用的機會來懲罰民眾的共和的意識行政議員認證保養費除了19歲以下民眾不是保養費以外,國泰體、全國的國營業員、教育營業員及軍警營業員都有另一部署的範圍
transcript.whisperx[16].start 2382.908
transcript.whisperx[16].end 2398.138
transcript.whisperx[16].text 再透过行业家庭的法律来增进人民共和国的用意感。其次,我们会来强化各种的经济能量,提升生涯的竞争力。
transcript.whisperx[17].start 2399.696
transcript.whisperx[17].end 2405.685
transcript.whisperx[17].text 去年我們頒發的代表洛杉磯學總領養育團養育証件今年要發行核卡幣本頁的創企學總提供移民的規劃本學館營所的費用
transcript.whisperx[18].start 2415.299
transcript.whisperx[18].end 2435.176
transcript.whisperx[18].text 再來,我們享受各種主體的遊行,本國泰的各自的年間度我們提供的各種遊行精髓、藥材和北泰各種品牌,送到天上、天下的戰術平台本國內外的遊客,都在各種地方參與旅行
transcript.whisperx[19].start 2442.282
transcript.whisperx[19].end 2447.929
transcript.whisperx[19].text 此外,今年,國會會與自由茶協會進行反對共同體制、浪漫對三選戰及美歷選六對戰,大規模的合格國際聯盟研討。
transcript.whisperx[20].start 2458.411
transcript.whisperx[20].end 2471.119
transcript.whisperx[20].text 以及在核食品牌部分,我們在天衣也能做很多料理,非常黑心的食材,例如有些廚師參與過節的賽事。第二,我們在國泰,有種沖繩的飯金洋蔥,比方說大蔥,有種沖繩法交流中心,在石鹹,有種核糖的開釀。
transcript.whisperx[21].start 2484.888
transcript.whisperx[21].end 2509.142
transcript.whisperx[21].text 目前全国有20年包括的特殊民国评定定甚至认识的平衡和各种的发展再来推动各种的法庭级本要求证的图书公司去审计在六大地区特别是北部地区中央有14个案例在核心下来
transcript.whisperx[22].start 2511.003
transcript.whisperx[22].end 2515.985
transcript.whisperx[22].text 在這裏,在歷史空間部分,我們保存了各種歷史的脈絡,從天方上成立的輔導團,來聽述歷史記憶,保存下來。
transcript.whisperx[23].start 2527.914
transcript.whisperx[23].end 2549.789
transcript.whisperx[23].text 第六,我們推動強硬的公共參議,持續與巴黎縣市推動學大文化的發展計劃,以及跟目前的白宮政府站除了有我們陸有同路以外和增加的強硬,
transcript.whisperx[24].start 2558.895
transcript.whisperx[24].end 2582.017
transcript.whisperx[24].text 推动强硬参与批评议文的管法,我们同协议院教育部与人民区共同来判断,让我们的强硬议语服务员以及我们的规划判断,让我们的学校校长教育员来提供学校校长的国际思想和采取的管法。
transcript.whisperx[25].start 2584.234
transcript.whisperx[25].end 2597.963
transcript.whisperx[25].text 再來,我們在醫生體年代,生涯的盤理,兩人應用全球學及文化分析,在生涯的盤理,兩人應用學及貢獻獎,特別學及師傅專業獎項的表揚,來表揚去年後的青春認識。第六點,
transcript.whisperx[26].start 2607.829
transcript.whisperx[26].end 2622.274
transcript.whisperx[26].text 我們要發展合作的英文能量 去強行合作文化的加持強行的送食規範 邀請無窮人士隊來展現出舒服我們在台灣
transcript.whisperx[27].start 2624.275
transcript.whisperx[27].end 2636.768
transcript.whisperx[27].text 另外,在香港,強硬為主體判斷白衣人的白衣人避嫌,共有60多位公司部門判斷香港人的法律。
transcript.whisperx[28].start 2640.911
transcript.whisperx[28].end 2646.932
transcript.whisperx[28].text 在內,我們求願在12月12月12月的判例和交流規模之下目前,到求願日子已經突破1萬人參與,這等於我們提交的部分創作最多認輸、推輸也最多的營業。113年的首當夕在頭營,但其內營是有設備創建。
transcript.whisperx[29].start 2669.016
transcript.whisperx[29].end 2683.149
transcript.whisperx[29].text 第一,在養殖營部分,我們可以與天使合資植博和養殖作品第二,在國際外的國土中心,我們可以持續進行
transcript.whisperx[30].start 2690.095
transcript.whisperx[30].end 2697.098
transcript.whisperx[30].text 在這裏,我們也希望有強硬的英文意識和英文學在邁向國際我們在推辦和英文學作家創作計劃
transcript.whisperx[31].start 2708.186
transcript.whisperx[31].end 2718.455
transcript.whisperx[31].text 又跟國際台北無法公園合作出版,推廣要求區議員的替代參加台北國際署站累計現場參觀人員有6萬人員,名錄中有9萬人員
transcript.whisperx[32].start 2727.362
transcript.whisperx[32].end 2734.307
transcript.whisperx[32].text 來參與我們在營業思想部分行業主流的思想、用業成分是我們的目標三月十五日張潘赫在高雄的旅行中心舉行演唱會也會跟台灣幾個太平的營業者持續合作
transcript.whisperx[33].start 2756.155
transcript.whisperx[33].end 2769.753
transcript.whisperx[33].text 為了提供強硬反響,我們有請三位強硬基督徒的寶土基督徒的生命故事,為了重返他們的期望
transcript.whisperx[34].start 2772.777
transcript.whisperx[34].end 2781.227
transcript.whisperx[34].text 在香港除了台三線外,陸對台九線,我們一起投入、投稿和洋相的部分來跟大家收集
transcript.whisperx[35].start 2793.26
transcript.whisperx[35].end 2819.478
transcript.whisperx[35].text 在台灣各種所有的有關核桿文化和年齡的故事再來我們南北核桿文化延期保有出權文化保存的也要加持故事有文革方面的加油研究、電訊、教育、英文等等推行核桿文化的推廣和產生
transcript.whisperx[36].start 2823.54
transcript.whisperx[36].end 2846.308
transcript.whisperx[36].text 以及我們跟國際 國際 國際有關的保護署在一起合作 交流以及跟文化資產部署跟調查的工作在一起 到今年一百二十四年為止 入床的感染數有一萬六千兩千還有為了參加國際的
transcript.whisperx[37].start 2851.279
transcript.whisperx[37].end 2855.742
transcript.whisperx[37].text 經濟戰費提升和博物館的能見度不僅對國際、對國內也強有我們採取的職業合作推出先鋒隊16站和T-62陸隊運動費的營運站
transcript.whisperx[38].start 2872.417
transcript.whisperx[38].end 2899.077
transcript.whisperx[38].text 採取民眾和學童的因素合作最後我要感謝本費、創企、支持和創司提供合作的發展包括親自教育、搶眼的營造的培育也都在保存和研修和文化創業的力量推動和合作
transcript.whisperx[39].start 2900.81
transcript.whisperx[39].end 2912.316
transcript.whisperx[39].text 創新企劃希望分享的強中研的支持力量做得成就其他也成就沙飛我們會用勇氣創新 求強求好為主體持續推動國家希望工廠
transcript.whisperx[40].start 2918.493
transcript.whisperx[40].end 2928.795
transcript.whisperx[40].text 第三,我們在問議的六十幾年中,我們鼓勵提前,也感謝提前的堅持和努力的行程,我們會持續地投入家庭和社會的推廣。希望接下来,做得跟大家共同走一條好路。以上報告,簡單報告,請國民委員職高,祝福大家身體健康,萬事以儀,順利向大家安持下去。
transcript.whisperx[41].start 2961.189
transcript.whisperx[41].end 2987.483
transcript.whisperx[41].text 好 其他單位的報告請委員自行參酌並刊登公報那現在進行選答委員諮詢前原例做幾點宣告每位委員發言時間本會委員五分鐘必要時的延長兩分鐘非本會委員五分鐘上午十點半截止發言登記今天就不處理臨時提案各位有沒有意見
transcript.whisperx[42].start 2989.161
transcript.whisperx[42].end 3007.388
transcript.whisperx[42].text 沒有齁好那我們現在進行詢答請登記第一位的蘇巧惠委員發言好謝謝主席我們請主委好請主委
transcript.whisperx[43].start 3012.847
transcript.whisperx[43].end 3014.929
transcript.whisperx[43].text 我們覺得地方上真的是很不錯廣受歡迎的政策就是我們的博工照庫站
transcript.whisperx[44].start 3031.403
transcript.whisperx[44].end 3036.746
transcript.whisperx[44].text 主委現在博工照護站的發展情況如何?現在的數量有多少?這幾年有增加嗎?感謝委員 白宮照護站的學費體體放鬆有關從早上到早上的一間養護本農園及種植 做得有更快樂的氣氛 更健康的氣氛
transcript.whisperx[45].start 3053.174
transcript.whisperx[45].end 3057.357
transcript.whisperx[45].text 目前今年556宗被投擲 今年517宗被投擲 明年都省種沒錯 那我看妳看這個妳剛剛說到的博工照護站目標很清楚嘛 就有健康促進 親迎共榮 老幼同樂那甚至它的健康 它的對象健康雅健康的客庄銀髮族
transcript.whisperx[46].start 3076.611
transcript.whisperx[46].end 3079.173
transcript.whisperx[46].text 都現在會以博工照護站做據點這我們覺得非常的樂見那我也想請問主委您剛剛說這個政策既然廣受歡迎那誰可以來申請什麼樣的資格可以來申請成為或者設立博工照護站聽人家的提防
transcript.whisperx[47].start 3095.828
transcript.whisperx[47].end 3122.801
transcript.whisperx[47].text 只要他那個西籍據點他就可以去申請阿提歐哥菸絲政府主體是地方政府嘛申請的主體是地方政府但條件的話看過去我們看到這個條件的部分其實不是不是條件的部分你看你114年度推廣博工照護站的實施計畫我也很高興看到你過去是只有在客家文化重點發展區
transcript.whisperx[48].start 3123.962
transcript.whisperx[48].end 3133.906
transcript.whisperx[48].text 所屬的地方政府可以來申請嘛這就是所謂的客庄有客庄的地方政府那你這一次呢是首次名列把這個客家社區也條列到了這個申請的文字當中那客家社區顯然就是跟客庄客家文化重點發展區是不太一樣的了嘛對不對所以是放寬這是一個放寬
transcript.whisperx[49].start 3149.031
transcript.whisperx[49].end 3160.355
transcript.whisperx[49].text 好所以我們現在有客庄的地方政府有客舍的地方政府都可以來申請好那也就是你剛剛說的可能就是因為這個條件放寬了所以您剛剛也說了這幾年的據點不斷的增加因為客庄的話是以鄉鎮區和人口的狀況來說所以我們這麼幾年來其實客庄不太有變動啦就是那幾個鄉鎮可是客舍也一直在增加
transcript.whisperx[50].start 3175.501
transcript.whisperx[50].end 3195.906
transcript.whisperx[50].text 所以連帶著我們的博工照護站因為可以申請的人多了嘛所以通過的也就多了我這個邏輯到這裡都沒有問題吧某問題完全衝好沒有問題來那接下來就是我要請問的主委你知道我們新北新北現在有幾個客庄有幾個客舍有幾個博工照護站嗎
transcript.whisperx[51].start 3197.346
transcript.whisperx[51].end 3208.732
transcript.whisperx[51].text 目前 客庄 有嗎 我們新北有客庄嗎有有有 客庄 我們新北有客庄英國可以說 不是整個區是客庄 它是一個小庄頭我們年輕人 超過50%的小庄頭 它就是黑庄所以你的鄉鎮的話 是用什麼樣的小庄頭
transcript.whisperx[52].start 3218.737
transcript.whisperx[52].end 3227.002
transcript.whisperx[52].text 你的樁頭是用什麼樣的形證詞春禮春禮的部分的話來…我們來看一下你的這春禮的部分是褐色
transcript.whisperx[53].start 3228.666
transcript.whisperx[53].end 3243.376
transcript.whisperx[53].text 你的客庄 客家文化重點發展區的話是客家人口三分之一以上 鄉鎮市區所以你的意思是說包括市 包括區也都可以包括市 包括區 它那個三分之一以上三分之一嘛 其中那個客家重點發展區我們今天 從維園也過程中 我們今天翻譯國台 國台的那一體 媒體的那個三分之一的客家
transcript.whisperx[54].start 3256.385
transcript.whisperx[54].end 3256.966
transcript.whisperx[54].text 我替你做了一個整理我們的這個客庄和客舍
transcript.whisperx[55].start 3273.069
transcript.whisperx[55].end 3301.995
transcript.whisperx[55].text 它的申請條件它的認定條件其實有兩個嘛一個是區域範圍就是您剛剛在說的地理狀態嘛客庄的話是鄉鎮市區客舍的話是用村裡但是會沒有問題嘛對不對然後下面是客家人口比例這個比例的話一個是三分之一的話這麼高額的話那它是客庄那你剛剛說客家人口三成以上或講客語的長者二分之一以上這個是你們認定客舍的條件不是這樣嗎
transcript.whisperx[56].start 3303.933
transcript.whisperx[56].end 3317.5
transcript.whisperx[56].text 這個部分沒有問題嘛所以在這兩個條件之下我剛剛的問題是問你說新北市有客庄或客舍嗎據我們的了解其實因為新北市的客家社團客家人口雖然有67萬人
transcript.whisperx[57].start 3321.943
transcript.whisperx[57].end 3338.182
transcript.whisperx[57].text 但是他非常的散居他非常的散居所以這種散居的生活型態回歸到後面剛剛的認定方式我們一共就是新北市的三峽區的五料理可以被符合認定 客設他不要說客裝了 他連客設
transcript.whisperx[58].start 3340.666
transcript.whisperx[58].end 3352.071
transcript.whisperx[58].text 客舍都是非常對我們來講散居的太嚴重所以很難認定嘛所以我剛剛第一個問你說新北有客庄嗎你跟我講有我是非常疑惑我心中有問號那我們連客舍都這麼難了就這麼一個而已啊所以這是我們新北的狀況好那所以我再問你
transcript.whisperx[59].start 3359.955
transcript.whisperx[59].end 3366.738
transcript.whisperx[59].text 主委我們新北有博工照護站嗎這樣下去看他做的會省錢但是沒有省錢因為我們可以申請的就一共只有一個村裡而已啊所以這個村裡沒有去申請的話當然新北的博工照護站零啊
transcript.whisperx[60].start 3378.142
transcript.whisperx[60].end 3396.508
transcript.whisperx[60].text 0啊 這麼好的政策最多客家人口我們僅次於桃園啦我們67萬是僅次於桃園是全國第二多客家人的地方耶是最多人口的直轄市客家社人口第二多的直轄市結果我們一站博工照護站都沒有你不覺得這個狀況很奇怪嗎
transcript.whisperx[61].start 3398.809
transcript.whisperx[61].end 3400.29
transcript.whisperx[61].text 所以我們會認為這個問題到底是宣傳不夠力讓你剛剛比如說你剛剛自己也在這邊照就是說我的申請條件我們是要客庄要客社才能來申請但是我們的現在條件有放寬
transcript.whisperx[62].start 3415.504
transcript.whisperx[62].end 3426.369
transcript.whisperx[62].text 你講了很多 可是看起來我幫你整理成表格之後沒有啊 我們新北能夠符合的很少啊 少之又少啊所以我們連申請條件都過不了關了更不要說成立了嘛 對不對主委 所以如果是這樣 我認為 我也要求您是不是應該再想辦法來調整去申請博工照護站的條件
transcript.whisperx[63].start 3443.617
transcript.whisperx[63].end 3449.94
transcript.whisperx[63].text 讓散居人口市的地區也有機會加入這麼好的政策主委你的意見我們回到剛剛第一頁照顧他的目的的那個部分
transcript.whisperx[64].start 3459.304
transcript.whisperx[64].end 3479.456
transcript.whisperx[64].text 你可以看到嘛既然它的目的是這麼好的狀況的話其實我認為正因為我們是散居的生活型態所以如果能夠多幾個博工照護站的話它就可以成為地方的新文化傳承中心啊新文化中心對我們客家來講其實才是真正重要的事情你可以規模縮小嘛然後預算
transcript.whisperx[65].start 3482.137
transcript.whisperx[65].end 3498.683
transcript.whisperx[65].text 預算看是大家均分還是怎麼樣狀況不過我覺得你現在很可惜因為你的預算現在被刪動這麼多光是博工造戶站就被刪了700萬了我看現在今年的新增的造戶站新增的造戶站大概也都必須預算要減少了吧主委今年的博工造戶站預算有減少嗎有減少 每個站點平均減少17%
transcript.whisperx[66].start 3504.745
transcript.whisperx[66].end 3508.528
transcript.whisperx[66].text 是啊 我們就已經在少經費了 這樣煽動下去連博工照護站經費都沒有 更不要輪到我們來申請了所以主委我明確的在這裡要求您對散居型態的如新北市應該怎麼增設博工照護站提出規劃 我希望在會期結束前能夠有您的想法 各位會的想法 可以嗎
transcript.whisperx[67].start 3527.54
transcript.whisperx[67].end 3528.301
transcript.whisperx[67].text 好請張志倫委
transcript.whisperx[68].start 3553.288
transcript.whisperx[68].end 3580.965
transcript.whisperx[68].text 好謝謝主席各位委員各位官員大家早是有請谷主委請主委總理也好好謝謝谷主委安子森那我相信今天是我們這個客委會的質詢那很多相信很多委員針對博工照護站有諸多的問題那本期是認為博工照護站就我的理解是一個非常好的政策
transcript.whisperx[69].start 3581.485
transcript.whisperx[69].end 3602.785
transcript.whisperx[69].text 他主要就是讓我們剛剛主委特別有講的C級的照護點讓一些長輩跟有機會到一些我們的這些聚會的社區的聚會中心然後大家一起來互動照顧他們的身體那麼希望說這個課語的部分一定要能傳承那大家會講課語我們很多的
transcript.whisperx[70].start 3605.107
transcript.whisperx[70].end 3631.155
transcript.whisperx[70].text 照護站的部分那也可以帶他們的孫子這個孫女然後一起來讓我們的客羽可以發展那其實大家都有講到說現在這個博工照護站多設於這個客家文化重點發展區那我本席在的這個新北市是屬於這個非重點發展區那所以意思就是說新北市有67萬的人口那剛剛也提到說新北市這個過去以來比較
transcript.whisperx[71].start 3634.056
transcript.whisperx[71].end 3656.208
transcript.whisperx[71].text 有現在只有一個這個依照現在的新的規定來講只有一個三峽區五寮里可以是符合設這個客家社區所以說雖然說現在我們有把這個重點發展區以及非重點發展區多一些可以設這個博工造物站的一些的據點可是現在新北市的部分還是沒有辦法來協助那我再簡單講一下
transcript.whisperx[72].start 3657.549
transcript.whisperx[72].end 3681.287
transcript.whisperx[72].text 那以這個重點發展區來講的話是這個三分之一以上的客家人口就可以來設立那非重點發展區現在我們是把它從鄉鎮市區把它再下放成一些村裡可以來使用可是現在的問題點是說我們還是要有超過50%甚至是比過去重點發展區更多比例的人口數才能設這個
transcript.whisperx[73].start 3683.348
transcript.whisperx[73].end 3691.134
transcript.whisperx[73].text 這個不公照護站那這樣子造成新北市有點困難來設立是不是可以請教主委是不是可以鬆綁既有的50%的語言使用門檻
transcript.whisperx[74].start 3694.075
transcript.whisperx[74].end 3696.457
transcript.whisperx[74].text 感謝委員的關心 要補充我們肥豪及同事有請鑽研學生在幾個年頭可能在總委員所提及屬委員所提及要封款 也要判斷他在多次提起不適中 當然不適中 但是符合條件
transcript.whisperx[75].start 3720.37
transcript.whisperx[75].end 3733.735
transcript.whisperx[75].text 好 謝謝主委因為上個會期其實我在這邊就已經有跟主委請教了那是不是這一次因為上個會期有請教這次還沒有拿到答案是不是大概有要多少時間可以提供一個資料書面資料給我們應該說三張頁
transcript.whisperx[76].start 3738.942
transcript.whisperx[76].end 3757.325
transcript.whisperx[76].text 一個月之內嗎三個月三個月之內那是拜託盡快可以處理那第二個也要請教主委這個客家基本法的第三條已經明定了政府應該保護及推廣客語那依照這個文化部的語言調查報告
transcript.whisperx[77].start 3758.185
transcript.whisperx[77].end 3781.141
transcript.whisperx[77].text 其實現在客語的使用率有流失超過七成那以及有四個縣市的一些比如說什麼少安腔啊海陸腔已經屬於這個冰嶺就大家越來越講越少那這次的業務報告我們很期待可是卻沒有看見客家語言發展法草案的進度它是依照客家基本法第三條應該要來明定的一個部分
transcript.whisperx[78].start 3781.661
transcript.whisperx[78].end 3808.462
transcript.whisperx[78].text 所以我們就我了解其實國民黨團有三個委員也提出相關的法案的草案那現在還沒有看到政院的版本那所以我們認為這個法制的進程有點遲緩那是不是會造成客語快速流失的這些隱憂是不是可以請教主委那現在我們的這個客語客家語言發展法最重要推廣客語的這個草案何時可以送來立法院
transcript.whisperx[79].start 3809.902
transcript.whisperx[79].end 3814.644
transcript.whisperx[79].text 我們也要重新系統行業發展法的討論因為在北部有幾條多條,某種意見很清楚所以我們要有一個公開的議題去邀請大家提供意見我認為我們國家要進一步,關於要進一步,送到法院
transcript.whisperx[80].start 3835.37
transcript.whisperx[80].end 3860.291
transcript.whisperx[80].text 這個會期有機會送進來立法院嗎可能有困難 這是你 議員也是你 可能有困難好 沒關係 主委一定要再加油啦 好不好還有上個會期我有請教主委其實客語的發展有一個非常重要就是國家客家發展計畫它會訂定我們未來整個客語它整個的一些的計畫跟進度那上次我有請教過主委 在112年底
transcript.whisperx[81].start 3863.424
transcript.whisperx[81].end 3888.2
transcript.whisperx[81].text 公佈完這個計劃以後113年度是空白當時我還認為說奇怪賴總統怎麼會113年度都空白那之前問主委現在未來預計有一個新的一期的國家課與發展計劃是114年到117年有這樣的計劃嗎有有有 目前已經合幣費已經整個當天好了目前尊本行政院和政院的費送國普費國普費的意見也還在事實當中
transcript.whisperx[82].start 3890.123
transcript.whisperx[82].end 3901.126
transcript.whisperx[82].text 所以我請教主委那113年當時沒有提出計劃這個未來會是同案嗎還是說當時的原因發展是什麼為什麼過去的計劃是110年到112年113年是空白然後新的計劃是114年到117年那113年這樣子的沒有這樣的計劃未來是同案嗎
transcript.whisperx[83].start 3910.963
transcript.whisperx[83].end 3927.789
transcript.whisperx[83].text 我希望英國不會在未來無縫接軌就會持續下去好 謝謝主委希望說這個客家語言發展不能說中間斷掉一年我也是支持主委的想法應該要延續最後有請教一個重點就是說現在我
transcript.whisperx[84].start 3930.029
transcript.whisperx[84].end 3949.153
transcript.whisperx[84].text 這個客會要來發行這個客家幣預計好像在114年的7月要來刺激族群認同以及語言文化的參與我認為這是一個非常重要的事情可是我相信這個還在研議當中那我可不可以請教主委今年的客家幣預計發行的量為何那客家幣114年7月要發行客家幣的發放
transcript.whisperx[85].start 3955.074
transcript.whisperx[85].end 3973.55
transcript.whisperx[85].text 那我們的預期的目標是什麼可以增加多少客家客於使用的比例那以及這個客家幣現在的發放就我所了解現在使用在實體的狀況就是說我實體在消費的時候可以去使用那因為本席知道說現在我們客委會很認真他有推動很多的線上課程
transcript.whisperx[86].start 3974.511
transcript.whisperx[86].end 3980.653
transcript.whisperx[86].text 那我想說這些客家幣是不是可以來購買這些線上課程這些虛擬的一些的使用方式是不是可以請這個主委解釋一下好感謝總委員我們學家幣一開始最要爭取的原因是高息依賴和負負負負負負負負負負負負
transcript.whisperx[87].start 4001.679
transcript.whisperx[87].end 4006.544
transcript.whisperx[87].text 有學家認證認證的人一定得到 類似學生一定得到第三個有顧慮行業家庭要在三方面 保養高校很困難我不用說英國的學生行業有流通適用的機會
transcript.whisperx[88].start 4020.976
transcript.whisperx[88].end 4027.599
transcript.whisperx[88].text 本身的行業家庭、行業認證人做到在外公學、外公學所做事的時間,做到用合法的對方最主要我們想要的事情,不是要運用的技巧,是要用合法的技巧所以我非常要學習
transcript.whisperx[89].start 4041.885
transcript.whisperx[89].end 4042.626
transcript.whisperx[89].text 所以主委謝謝 所以就是說
transcript.whisperx[90].start 4070.34
transcript.whisperx[90].end 4088.667
transcript.whisperx[90].text 這個客家幣的重點是要讓大家促進客語的發展大家用客語溝通嘛所以在使用客家幣的時候就是盡量要鼓勵大家要講客語鼓勵大家 鼓勵大家 還有那個送點要一天的外公學要送點的年齡沒有那預計發行的數量為何目前四十萬年 四十萬 四十萬
transcript.whisperx[91].start 4096.051
transcript.whisperx[91].end 4100.157
transcript.whisperx[91].text 40萬人那一個人大概可以取得1000塊但是因為我的電子機我倆人看不到我們才登記制
transcript.whisperx[92].start 4116.015
transcript.whisperx[92].end 4128.361
transcript.whisperx[92].text 那最後我還是要拜託主委 我要請教一個問題其實我也是幫新北市政府發聲那新北市政府 最後一個問題新北市政府每年都會辦這個疫名季的部分那我想要請教 請主委聽一下我的問題
transcript.whisperx[93].start 4130.302
transcript.whisperx[93].end 4156.461
transcript.whisperx[93].text 這個112年度這個新北市辦疫名祭的整個經費是120萬當時課委會補助300萬那113年的時候總經費也是120萬可是課委會只補助100萬為什麼會少了三倍那我希望說114年的時候因為我知道課委會的這個經費今年跟去年比起來還多了3億元那我是不是需要說可以不要再減少了好 各位請主委回答
transcript.whisperx[94].start 4156.881
transcript.whisperx[94].end 4157.581
transcript.whisperx[94].text 主席 請主委
transcript.whisperx[95].start 4189.841
transcript.whisperx[95].end 4194.285
transcript.whisperx[95].text 主委說實在的,北省聽不懂,不知所措,根本你們這個單位,有山也有洞,好像還會走進出來,所以在這個過程當中,我也覺得大家都是
transcript.whisperx[96].start 4213.48
transcript.whisperx[96].end 4222.528
transcript.whisperx[96].text 說不實在的 會違法啦 處理很明顯的 你有檢體對 有敵對 哪有說 給你給人家讀給你給人家刪啊 要怎麼給人家記 你不就說不要人刪 不要人那個啊 我覺得這個社會都亂了啦 來啦
transcript.whisperx[97].start 4235.626
transcript.whisperx[97].end 4255.685
transcript.whisperx[97].text 主委,在這裏我覺得剛才有說到博工站博工站大部分都是客家委員的自治的所在有時候他們地方有長照的,都可以互相配合你如果想說,我跟義企的年數不夠
transcript.whisperx[98].start 4261.758
transcript.whisperx[98].end 4267.782
transcript.whisperx[98].text 英文都沒辦法申請,尤其在那六條的地方主委你知道,台北他們都支持在那尤其在廟的他們的活動他們的辦,這幾天我們的童話祭到外面,我們的聖父山丘那裡,還有樹林的
transcript.whisperx[99].start 4286.324
transcript.whisperx[99].end 4293.527
transcript.whisperx[99].text 提供給我們用的那個童話節我當然跟你們說我要說補公站的時候我認為主委我們是不是要有一個改變以入進展不要說我們如果像你們這樣說的時候自己是永遠又簽署到補公站是不是這個問題要怎麼去改變可以照顧這些客戶因為他們長大
transcript.whisperx[100].start 4313.917
transcript.whisperx[100].end 4322.141
transcript.whisperx[100].text 差不多都上了年紀那麼多要怎麼去照顧他們來 主委你回答一下跟王委員報告 做王委員這樣下去看其實假如私下的素材很符合省錢 把工作負債的條件因為經驗我們要把它擴大除了鄉鎮期超過三分之一以上只有他的社中條三期存離那差不多
transcript.whisperx[101].start 4342.652
transcript.whisperx[101].end 4349.097
transcript.whisperx[101].text 一般他送人去的行李或用行李的店他就可以來選擇所以就像王美媛這樣在他的講義士我們提供的素材他做的比較乾淨他做的就來選擇
transcript.whisperx[102].start 4358.333
transcript.whisperx[102].end 4371.042
transcript.whisperx[102].text 因為我當委來聽他們說的時候,就是說要申請的時候,他們的領口所會不足,但是主委你這樣說的時候,他們可以去申請這個不公站,但是在中等到今年的時候,我們有計39張出來,但是我們的經費,也有刪除的時候,如果這樣
transcript.whisperx[103].start 4384.082
transcript.whisperx[103].end 4398.755
transcript.whisperx[103].text 是可以再接受新的申請或是未來申請來主委你回答一下另外一個部分,第一個部分是委員講到的我們在經費刪貼,刪貼依算有影響到白宮這屋站莫不臭有影響,我們民意的暫定因為白宮這屋站
transcript.whisperx[104].start 4409.625
transcript.whisperx[104].end 4423.513
transcript.whisperx[104].text 三點數變多,所以雖然說有增加一些,但是平均來說全部還是公台公台補儲的金額,所以故事有公台的補儲
transcript.whisperx[105].start 4430.217
transcript.whisperx[105].end 4432.1
transcript.whisperx[105].text 主委你現在說的,可以申請跟補助固定的,你買了再說,因為醫生的問題,所以固定的過程,因為醫生有三億,所以會減的
transcript.whisperx[106].start 4448.22
transcript.whisperx[106].end 4450.843
transcript.whisperx[106].text 是不是這樣 錯錯錯因為我覺得這就是醫生的照顧 這裡的博工站公司一定要有醫生嘛 要有醫生可以讓這裡的博工站的照顧更好我也希望未來的假期期拿出來的時候 我們的懲辦單位
transcript.whisperx[107].start 4473.755
transcript.whisperx[107].end 4490.968
transcript.whisperx[107].text 來人道合作一下再來主委,我代您請教說因為我們有夾武輝和媒體的選擇窮三千年的時候,我們的客家族群主流化的發展會繼續
transcript.whisperx[108].start 4494.434
transcript.whisperx[108].end 4507.068
transcript.whisperx[108].text 和競爭創新的環境會營造的幾位客家議員、深植的區委和客家藝文發展的政委裡面的區委那這裡面
transcript.whisperx[109].start 4508.489
transcript.whisperx[109].end 4513.033
transcript.whisperx[109].text 我認為第一就是用議員發展委員會去辦的因為長久以來在家裡我都要求你們在家裡做一些議員會讓這些孩子可以合作
transcript.whisperx[110].start 4528.926
transcript.whisperx[110].end 4533.85
transcript.whisperx[110].text 我們的議員像我講的那樣,各位議員大家互相尊重互相合適,我們也希望這個議員不能消失但是本市是很高興,像本屋的幾位來賓
transcript.whisperx[111].start 4550.004
transcript.whisperx[111].end 4557.669
transcript.whisperx[111].text 是不是今年還可以做嗎?來感謝王委員我們有醫生我們很希望到國體法判例但是現在凍結醫生3%是否凍結到以前確實會影響到醫院法庭的創持
transcript.whisperx[112].start 4570.498
transcript.whisperx[112].end 4574.223
transcript.whisperx[112].text 所以我還是希望在這個年度以後我能夠發出規劃以以往表現的衝刺
transcript.whisperx[113].start 4582.871
transcript.whisperx[113].end 4603.264
transcript.whisperx[113].text 這樣主委你說這幾天在假期期都有藝文表演的時候會結尾如果不解凍的時候今年就有可能不去假期期表演了有可能這樣就有很嚴重的對假期期來說的應用很大的所以說我們要關心去看要怎麼處理因為他們都說主要你們提議以來
transcript.whisperx[114].start 4613.051
transcript.whisperx[114].end 4617.714
transcript.whisperx[114].text 來解凍 跟你們說沒關係 看是他們說真的要解凍還是那些人用蒸的啦應該主委 各位人喔 那些用蒸的可能聽不懂啦主委在這裡本身要跟你探討的就是說 我們都有去
transcript.whisperx[115].start 4636.328
transcript.whisperx[115].end 4642.314
transcript.whisperx[115].text 假如說我們的課位的零考數有多少在這個規定當中,我們有三檔內省,有四檔內省,有五檔內省在這幾檔內,本學所看到的就是91年
transcript.whisperx[116].start 4654.326
transcript.whisperx[116].end 4659.21
transcript.whisperx[116].text 九九十三年 再來九十千年 再來一百年 再來一百零三年一百零五年 再來一百十年現在要再九十八十五年 還要算我們的統計在這裡本身要提議說 我們不要憤顧五年到算一遍 那太晚太久了我們是不是可以改變說三年還是四年 因為五年有那麼久
transcript.whisperx[117].start 4682.947
transcript.whisperx[117].end 4686.069
transcript.whisperx[117].text 主委我這個意見是不是去了解看看因為統計你讓五黨最過久的人考數以上因為我接受的時間夠了感謝主委
transcript.whisperx[118].start 4700.517
transcript.whisperx[118].end 4705.599
transcript.whisperx[118].text 通話機的補助,說實在我本來站在這要求說,可以補助多少嗎?還有醫生有三人,希望醫生有三人的時候,對自己的活動,要讓他們多多協助和了解他們如何的辦活動,以及醫生多多給他們協助,以上好,感謝毛議員
transcript.whisperx[119].start 4731.021
transcript.whisperx[119].end 4732.963
transcript.whisperx[119].text 好我們請黃建平委員謝謝主席我們慢慢請客會鼓主委好請主委主委早安主委接下來4月到5月是客家莊很重要的這個觀光季節就是4月5月是我們這個
transcript.whisperx[120].start 4758.635
transcript.whisperx[120].end 4778.134
transcript.whisperx[120].text 桐花季嘛對不對那油桐花生長密集的地方就是都很多都是我們許多客家族群的一個聚集的 居地的地方喔那油桐花過去也是客家族群呃貼補家用一個很重要的經濟作物那隨著時代變遷那油桐花現在變成國內旅遊觀光的一個重要的亮點
transcript.whisperx[121].start 4779.639
transcript.whisperx[121].end 4808.251
transcript.whisperx[121].text 那我想因此不管是中央跟或者是我們地方政府近年都不斷的在推廣這個油桶花季那並結合我們的客家的文化活動讓我們的美景還有我們的客家歷史文化能夠相輔相成那本席注意到客委會為了推廣我們客家文化有設立這個客庄小旅行的網站方便民眾來查詢有相關的一些活動的地點那尤其是跟我們這個各縣市的政府來合作大力推廣這個油桶花季
transcript.whisperx[122].start 4808.951
transcript.whisperx[122].end 4834.85
transcript.whisperx[122].text 像是推出這個33條油桐花小旅行的路線以及許多桐花義務活動這是一件好事那本席對於谷竹野上任之後至於推廣我們各地的客家文化也是給予肯定那但是本席要跟竹野反映一件事情就是台東的油桐花其實也非常的漂亮那尤其是在我們台東的鹿野地區因為我們台東的客家住院主要是在縱谷就是石上關山跟鹿野
transcript.whisperx[123].start 4835.45
transcript.whisperx[123].end 4857.138
transcript.whisperx[123].text 那鹿野地區有前陣子還有辦那個花線鹿野客家童花的這個活動那指導單位還是我們客委會那本席也在活動的時候遇到我們的科長那但是我在我們客委會的這個客庄小旅行的這個官網上面介紹這個油桐花小旅行的這個欄目裡面並沒有看到相關的質詢
transcript.whisperx[124].start 4858.539
transcript.whisperx[124].end 4864.954
transcript.whisperx[124].text 那其實這是件非常可惜的事情因為當天的活動其實非常多的人可是其實他這個活動並沒有在網站出現
transcript.whisperx[125].start 4866.175
transcript.whisperx[125].end 4891.928
transcript.whisperx[125].text 那雖然台東比較偏遠那其實因為偏遠所以才是更需要大家來注意那一起來推廣我們在地的這個客家文化的美景促進更多的觀光的人潮台東縱谷的客家文化其實相對它特別它是一個各族群融合的地方它除了有客家族群外還有漢人還有原住民阿美族的朋友甚至一些是我們新住民現在形成一個很特殊的客家文化
transcript.whisperx[126].start 4892.668
transcript.whisperx[126].end 4918.256
transcript.whisperx[126].text 那主要應該了解其實台東其實就是一個移民的移民城市那根據我們客人會過去的統計台東的客家人口大概是在4萬多人也佔了將近全縣將近20%那相較於桃園、新竹、苗栗這些幾個客家大縣來說雖然我們人口數比較少可是其實台東美麗的這個油桶花的景點跟客栈文化其實也沒有比較差
transcript.whisperx[127].start 4919.136
transcript.whisperx[127].end 4935.69
transcript.whisperx[127].text 那像是我們過去我們鹿野龍田就有一個那個油桐花大道那花季的時候非常漂亮吸引很多的遊客來這邊喝我們紅烏龍然後賞花那非常適合全家大小來這邊旅遊不過在一樣在我們客家
transcript.whisperx[128].start 4937.059
transcript.whisperx[128].end 4956.96
transcript.whisperx[128].text 客庄小旅行的這網站中同樣也沒有看到這樣的相關的資訊喔那我記得本席在剛到立法院的時候其實在三個主委的時候其實有建議過這件事情要趕快改進那當時主委也說會來改善那目前為止還是沒有這部分我想還是要請主委來多多的來督促一下喔那
transcript.whisperx[129].start 4958.201
transcript.whisperx[129].end 4984.434
transcript.whisperx[129].text 另外在這個網站上我們可以看到各縣市的有關遊童化或是客家文化體驗的這個套裝行程啊它的費用啊還有聯繫窗口但幾乎也都沒有看到什麼台東的商家只有在那個限定優惠店家中找到兩個登記在案的這個台東伴手禮的商店我想這樣對於台東有關客家文化的元素非常可惜就是我想相信它元素很多不只有這一家而已
transcript.whisperx[130].start 4985.074
transcript.whisperx[130].end 5012.344
transcript.whisperx[130].text 所以本席希望是為了要督促我們整個台東縣促進我們台東縣的這個觀光那也將我們台東的客家文化發揚廣大需要我們中央跟地方一起來努力在這邊本席也要幫台東縣來宣傳我們目前台東縣跟鹿野相公所有推出這個花縣鹿野的這個活動現在也熱烈的在進行那我們也歡迎全國各地的鄉親都可以來這邊來旅遊所以我想要請客委會的主委回去再盤點一下
transcript.whisperx[131].start 5013.504
transcript.whisperx[131].end 5033.873
transcript.whisperx[131].text 有關台東的相關的這個上通的步道 油棟花的這個小旅行的資訊以及店家的資訊能夠更新在我們客戶會的這個官網裡面那主委是不是回去之後可以立刻來著手好 感謝王議員 我想要一天下去處理啦所以請人家不等於要馬上去判理
transcript.whisperx[132].start 5035.154
transcript.whisperx[132].end 5053.89
transcript.whisperx[132].text 好 謝謝主委主委我想台東是一個多元的移民城市那客家文化其實在台東其實也是很重要的一件事情我們一起來努力讓屬於這塊土地上的一個文化然後一個族群的聲音讓更多人看到那謝謝主委好 感謝王議員好 謝謝主席好 我們請李博議員
transcript.whisperx[133].start 5066.476
transcript.whisperx[133].end 5068.198
transcript.whisperx[133].text 好像剛剛資訊到現在齁那所有的委員都對於這個我們客家委員會的這些事務
transcript.whisperx[134].start 5085.871
transcript.whisperx[134].end 5111.884
transcript.whisperx[134].text 包含博工照護站都有非常多的這些意見甚至要推廣客家相關不管是語言或者是文化或者是觀光也好都有提出很多的這些見解奇怪怎麼跟我準備的方向不太一樣好像大家才忘記說今天我的重點其實是要跟客委會來討論
transcript.whisperx[135].start 5114.943
transcript.whisperx[135].end 5140.385
transcript.whisperx[135].text 被刪了那麼多預算被凍了那麼多預算這些事情怎麼做剛好好像所有人都忘記捏新北的委員還說去年補助120萬今年能不能增加他忘記他刪了你們多少預算捏主委妳說明一下補助方面的預算被刪了多少目前吼我們額部費全部分散在1.91
transcript.whisperx[136].start 5144.483
transcript.whisperx[136].end 5165.687
transcript.whisperx[136].text 業務費刪除1.9億這個是光課委會的部分嘛那還有一個行政院被統刪676億請問課委會現在已經收到主席出說我們課委會必須要允諸多少目前還沒有也要6361要行政院自行調整的部分目前還沒有有納稅所以
transcript.whisperx[137].start 5169.164
transcript.whisperx[137].end 5198.443
transcript.whisperx[137].text 怎麼樣補助 所以這一筆補助經費一定會被影響到啊怎麼樣增加 你剛剛的回應也沒有說要怎麼樣增加我也不懂 我也不知道你要怎麼樣可以增加嘛所以很可惜齁 其實今年是補助委可以開始好好執行賴總統對於好好在客家庄生活以及好好推廣客語的一個工作年那國家的稅收也足以讓客委會可以多做事
transcript.whisperx[138].start 5199.847
transcript.whisperx[138].end 5207.832
transcript.whisperx[138].text 主委,你原本想要多做的事情是什麼?跟議員報告,我們今年有機的新增的計劃,剛才講到的核和B,那一個再大的部分,我們要強硬,我們今年強硬諮詢委員會,特別強硬的支持內部,要去建立那個一級。
transcript.whisperx[139].start 5221.84
transcript.whisperx[139].end 5229.209
transcript.whisperx[139].text 現行目前除了新的計劃以外,還有QA延續新的計劃,我們都在擴大工程,拔萊潘尼,他們都需要經費,所以產業以後雖然有增加,但是那是不可能的
transcript.whisperx[140].start 5245.643
transcript.whisperx[140].end 5261.269
transcript.whisperx[140].text 簡單來講,舊的計畫可以持續做,例如博工造戶站做的做,但是因為有刪除的預算博工造戶站也被刪除了嘛文化幣是新的預算,所以文化幣是可能不知道怎麼樣開始進行嗎?
transcript.whisperx[141].start 5262.898
transcript.whisperx[141].end 5272.324
transcript.whisperx[141].text 黑咖啡的部分,我們沒辦法全面的發,要用一些策略去感受,要等級,沒辦法全面
transcript.whisperx[142].start 5281.423
transcript.whisperx[142].end 5310.598
transcript.whisperx[142].text 所以就變成只能逐步的來推廣我覺得非常可惜那台灣是所有華人地區唯一有一個客家的算客委會一個唯一有客委會當部會的一個國家那最主要的目的要推廣好好客庄生活之外對於客語的推廣也是我們急需要努力的方向也要持續努力的工作
transcript.whisperx[143].start 5311.098
transcript.whisperx[143].end 5328.308
transcript.whisperx[143].text 那吸引青年然後做客家幣等等的我覺得都是非常好的一個方向那如果不能做我必須要把目前我們所有有刪除客委會預算的委員我必須要把他們的名字念出來啦
transcript.whisperx[144].start 5334.352
transcript.whisperx[144].end 5363.318
transcript.whisperx[144].text 有新竹的包含在我們委員會裡面雖然在我們委員會審查的時候他沒有刪到這一筆但是徐欣穎委員在二讀會的時候是舉手刪除客委會預算林思明委員在二讀會的時候是舉手刪除客委會預算傅坤祺委員在二讀會的時候是舉手刪除我們的預算徐巧欣委員號稱客籍委員在二讀會的時候
transcript.whisperx[145].start 5364.338
transcript.whisperx[145].end 5370.244
transcript.whisperx[145].text 也是舉手刪除客委會的預算所以針對這幾個委員我必須要把他們點名
transcript.whisperx[146].start 5371.744
transcript.whisperx[146].end 5396.523
transcript.whisperx[146].text 所有其他包含新住民委員包含原住民委員對他們新住民的權益對他們原住民的權益想盡辦法希望增加照顧只有這四個客委會的委員在院會的時候去大砍客委會的預算我覺得這件事情必須要講出來當然不是主委你講這是我講那所以最後
transcript.whisperx[147].start 5397.063
transcript.whisperx[147].end 5403.528
transcript.whisperx[147].text 希望客委會在雖然非常辛苦的狀況下我還沒問你凍結有多少?凍結目前是30%30%推算下來差不多3.61%但是...哇!那非常大喔!其實3.9%跟3.6%那是過去兩年來合理費沒的狀況
transcript.whisperx[148].start 5422.865
transcript.whisperx[148].end 5450.72
transcript.whisperx[148].text 歷年被刪跟凍最多的一次嗎沒錯那我請問妳被凍結百分之三十到目前行政院沒有辦法算出來那六百七十六億大家怎麼分配的狀況下會影響到客委會的哪一個業務的工作全面都會影響到譬如昨天妳的譬如說我們的核架國藥管磨砂要請一萬人去參加目前還在核核磨法徒庭堂去判理
transcript.whisperx[149].start 5451.772
transcript.whisperx[149].end 5457.322
transcript.whisperx[149].text 所以這一個客家歌謠比賽他可能要等到凍結之後才有辦法來規劃結凍結凍以後要解凍之後所以有可能有可能今年就沒法圖判
transcript.whisperx[150].start 5466.448
transcript.whisperx[150].end 5490.595
transcript.whisperx[150].text 有凍結的百分之三十以外還有行政院那六百七十六億所以客委會很多的這些不管是補助也好或者是活動也好已經嚴重影響到客委會歷年在辦理推廣課餘以及各種活動或者是補助縣市政府是不是也有會受到影響我會想問像剛才說的白宮政府站目前已經都減少減費的減少百分之十七的減費
transcript.whisperx[151].start 5496.42
transcript.whisperx[151].end 5507.835
transcript.whisperx[151].text 所以國民黨的委員都只敢問那種不用花到錢的事情嗎真正要花到預算的事情都不敢問嗎所以在這邊我必須要提出來謝謝,也請客委會加油好,感謝李委員請慢用政委
transcript.whisperx[152].start 5530.492
transcript.whisperx[152].end 5550.478
transcript.whisperx[152].text 有請主委好請主委媽咪一樣吼聲音沒有出來請董事聽書一下好嗎請董事聽書一下謝謝
transcript.whisperx[153].start 5560.977
transcript.whisperx[153].end 5564.958
transcript.whisperx[153].text 主委,您是否同意預算凍結不是刪除?當然,當然,凍結是凍結,但是某些都以前還是做我們的用
transcript.whisperx[154].start 5580.812
transcript.whisperx[154].end 5601.392
transcript.whisperx[154].text 對 但是說凍結不是刪除嘛 你也是同意嘛但是我們立法院是要行政機關 就是要有完整的報告就能啟動 解凍的程序 就進入解凍的程序 對嗎
transcript.whisperx[155].start 5602.803
transcript.whisperx[155].end 5607.646
transcript.whisperx[155].text 目前這樣,但是有規定沒有確定的引書像剛才說的,在二三堵的時間沒錯,是說沒有確定,沒有預算是行政機關的工作,沒有去做嘛所以說,所以在目前我們沒有看到我們的
transcript.whisperx[156].start 5626.917
transcript.whisperx[156].end 5632.627
transcript.whisperx[156].text 科家委員會向立法院提出任何一份正式書面解凍的書面
transcript.whisperx[157].start 5637.651
transcript.whisperx[157].end 5662.799
transcript.whisperx[157].text 所以到目前為止也沒有提出嘛 是不是目前沒提出 那個營業 要同時提二三度的時間要同三的時間 有六八三十六一對啊 但是說我們是為什麼不提出呢因為要不提出才能解凍嘛但是要數額的平安 沒有確定也是這個行政部門要去算啊因為整個一個會計
transcript.whisperx[158].start 5665.44
transcript.whisperx[158].end 5669.043
transcript.whisperx[158].text 會計單位 我們整個會計單位到現在沒有去做自己該值的預算還有說該要提出報告 我們就可以解凍但是呢 你也沒有提出報告啊 也不願意提出報告所以說是為什麼呢 還是說因為行政院沒有 叫你不要提出
transcript.whisperx[159].start 5688.997
transcript.whisperx[159].end 5693.198
transcript.whisperx[159].text 就不要解凍沒有 我跟議員報告 因為當時三一酸有6361 壓的部分要七個月調整 壓的體態數量數量所有的土地要三一度 都不行所以說出來 都一定要運用處理所以說我們是沒有刪除的 還是一樣可以用嘛 對不對
transcript.whisperx[160].start 5715.803
transcript.whisperx[160].end 5717.907
transcript.whisperx[160].text 所以我們行政院現在跟開說無法確認就是像你說的剩餘數難以題解動案
transcript.whisperx[161].start 5727.006
transcript.whisperx[161].end 5749.22
transcript.whisperx[161].text 我們三讀通過你們就來用後面的行政作業就要去做嘛所以都該做的沒有去做所以根本就是偷換概念凍結預算與刪減預算是完全不同的機制連這個國小的學生都知道所以解凍案應該應對就是會被刪除的但是凍結的部分預算處理
transcript.whisperx[162].start 5755.123
transcript.whisperx[162].end 5761.947
transcript.whisperx[162].text 所以但是我看你的報告裡面都有寫你們做的哪一些啊對不對所以說不送申請凍結的方案但是呢 說我們立法院讓你無法推動業務不是我們啊所以說你比較批求一個沒錯 但是有三處的凍結所以凍結要去處理面報告
transcript.whisperx[163].start 5784.502
transcript.whisperx[163].end 5795.329
transcript.whisperx[163].text 就會進入程序但是完全沒有所以不是說凍結不等於刪除所以我們在我們的審查的預算我們共同減了我們是43億我們的編列的預算114年編列的預算43億7000
transcript.whisperx[164].start 5805.776
transcript.whisperx[164].end 5807.236
transcript.whisperx[164].text 多萬我們錢只有一億九千多萬動了四億多而已其他都不能用
transcript.whisperx[165].start 5821.781
transcript.whisperx[165].end 5825.444
transcript.whisperx[165].text 但是目前為止我們看你的運作你報告裡面你還是有在運作沒有提出的解凍的編列的預算所以你怕說因為你今年14年申請太多了我們解凍後你花不完用不完所以你不敢來申請解凍
transcript.whisperx[166].start 5845.998
transcript.whisperx[166].end 5846.819
transcript.whisperx[166].text 根據我們的警察署成績因為時間的關係全台詐騙集團現在已經標高了週一
transcript.whisperx[167].start 5862.155
transcript.whisperx[167].end 5886.542
transcript.whisperx[167].text 單日採選就高達2億8千多萬全年就是顯示破百億啦大家的資料都知道我們所有的全民都知道說禍害年齡就是50歲以上為最多其中65以上的長者就被比較高主委很清楚我們客家族群高齡的人口比我們全國平均
transcript.whisperx[168].start 5891.784
transcript.whisperx[168].end 5895.865
transcript.whisperx[168].text 就是比較聽不懂中文所以呢他只要講柯家他辨識這些詐騙的就是能力比較低但是呢我們在這個部分呢我請教我們柯委會防詐的議題是柯家的版本有製作嗎有影片嗎有海報嗎有手冊嗎我們沒有看到
transcript.whisperx[169].start 5918.831
transcript.whisperx[169].end 5920.253
transcript.whisperx[169].text 我們跟議員報告,我們今年每宣費三個百分之六十幾度都沒辦法做的,過去我們都沒辦法做但是三個百分之六十幾度高達一億多啊,高達一億多還在可以用嗎?
transcript.whisperx[170].start 5936.274
transcript.whisperx[170].end 5960.819
transcript.whisperx[170].text 但是你們就把電影片類的大片的影片放在自己的客家的網站自嗨所以沒有達到我們要放出的影片所以我現在要求你可以你要去要做這件事情這個也是公共議題所以說我們電影的媒體宣傳意義多
transcript.whisperx[171].start 5964.48
transcript.whisperx[171].end 5967.061
transcript.whisperx[171].text 可以再做這一塊嗎?刪除了35% 更是凍結30%你也自己講的所以這個部分我希望但是關於這個關鍵
transcript.whisperx[172].start 5987.745
transcript.whisperx[172].end 5990.706
transcript.whisperx[172].text 這個關鍵希望說我們減少詐騙的你完全沒有去做這意義多來去做什麼還有我們現在目前我們有很多的但是我們有現在的我們全國的我們看你們網站
transcript.whisperx[173].start 6010.476
transcript.whisperx[173].end 6030.758
transcript.whisperx[173].text 科家認證今年到底有沒有辦影響有多少學生跟教師但是我們看你們的網站也有在進行中因為我們是凍結的費用是部分還有很多的經費還是需去用但是你是不是你可以自己打自己的嘴巴看有沒有很痛呢
transcript.whisperx[174].start 6031.058
transcript.whisperx[174].end 6036.981
transcript.whisperx[174].text 而你講的跟做的完全是因為詐騙人行事不是依法行政也沒有依理的定則去執行所以說全國小型的藝文競賽目前的進度還是一樣可以再進行我們看到的就是這樣子的畫面所以我們希望不要就是去騙我們
transcript.whisperx[175].start 6057.23
transcript.whisperx[175].end 6060.531
transcript.whisperx[175].text 平民百姓這個都是我們很清楚的所以我們很清楚如果你說這樣子的話我請你全國 給我一分鐘客家族群收騙的人數金額 詐騙的
transcript.whisperx[176].start 6074.457
transcript.whisperx[176].end 6082.546
transcript.whisperx[176].text 楊太統計給我兩天統計給我送到我的公司有困難因為你有去做該做的事情當然有困難我們立法院在行我們的監督局有依有據
transcript.whisperx[177].start 6093.379
transcript.whisperx[177].end 6098.06
transcript.whisperx[177].text 所以我們希望你當醫療的事情也懂得去報告不要嘴巴一直在說我們凍結 凍結 沒法執行每天都在執行我們的費用是從今年到現在已經四月份了我們行政院跟各個部會沒有提出就是我們的凍結的方案怎麼樣去解凍呢這個就是
transcript.whisperx[178].start 6122.988
transcript.whisperx[178].end 6142.613
transcript.whisperx[178].text 部會的工作要去做的我們希望我們要拿出證據也拿出你的行政的職責不要再去欺騙我們平民百姓了以上希望你在兩天不行是不是一個禮拜拿出我們因為你有媒體費你要拿出我們柯家族群被受騙的受騙的資料給我一個禮拜謝謝
transcript.whisperx[179].start 6155.08
transcript.whisperx[179].end 6165.666
transcript.whisperx[179].text 好 我們請黃婕為人好 謝謝主席 我們請顧主委好 請主委我們一樣齁
transcript.whisperx[180].start 6173.806
transcript.whisperx[180].end 6179.548
transcript.whisperx[180].text 主委好 可不可以在這邊先請妳說明解凍報告真的是因為你們不送 才沒有辦法審理嗎請問 今天報告不是我們不送 凡是投錢 有業益的部分 公募問題的因素就是636億 而我們持行刪除的部分 我們不在經驗的一端 故事會影響到我們的學費 到底那算1.91 還是比1.91更高
transcript.whisperx[181].start 6203.237
transcript.whisperx[181].end 6226.783
transcript.whisperx[181].text 好謝謝主委的說明我在這邊再幫主委再補充一下其實總預算從公告到現在也不過三個禮拜的時間光是這個準備的期間現在就要馬上送解凍報告根本非常不合情合理更何況這個解凍報告的專案報告的用意就是希望說預算執行之後看是不是有改善的空間再來專案報告嘛
transcript.whisperx[182].start 6228.143
transcript.whisperx[182].end 6255.588
transcript.whisperx[182].text 那你總預算到現在也才公告三周那你要去怎麼檢視這個預算執行期間到底有沒有改善所以現在就要送解凍報告真的是非常不合理的一件事情再加上剛剛主委說的因為立法院送出去的時候636億通刪並沒有告訴各個部會到底要各部會怎麼樣去分配自己要刪凍的金額導致現在各個部會都還不知道最後我到底還有哪些
transcript.whisperx[183].start 6256.808
transcript.whisperx[183].end 6282.667
transcript.whisperx[183].text 項目哪一些預算可能會被刪到連部會自己都不知道因為立法院沒有給啊所以很多國民黨跟民眾黨的委員還在講說為什麼解斷報告不趕快送出來不就他們害的所以我是在這邊替你們喊冤啦真的非常委屈喔那前面我也要講一下因為其實剛剛有委員提到說你們過去到現在即便刪了1.9億可是還是比去年多了3億
transcript.whisperx[184].start 6283.948
transcript.whisperx[184].end 6287.551
transcript.whisperx[184].text 那這個真的就不會影響你們預算執行嗎?真的不會影響你們在地方上推廣客家文化的行動嗎?民營報告一定有影響的,目前很寬度影響的用一個例子來講,剛才關心的北貢州負責,民營的負責點數很重
transcript.whisperx[185].start 6305.465
transcript.whisperx[185].end 6314.088
transcript.whisperx[185].text 明年要判理的內容增加,從今年來說增加的強硬,尤其是餐廳的事情,要經費一定要增加要增加的經費,雖然說有增加,但是剩下的以後不太白因為以餐廳輸多,所以目前已經輸影響的,所有的餐廳3%,17%同步供待,要吃吃的影響
transcript.whisperx[186].start 6335.199
transcript.whisperx[186].end 6344.443
transcript.whisperx[186].text 好 謝謝主委的說明所以很明顯嘛剛剛也有一些委員自己提到說雖然說了什麼刪了1.9億但是還是增加了3億但實質上光是這個博光照護站就已經實質受影響了那我在這邊要提另外一點對於我高雄這邊的業務是比較有影響的因為裡面其實有一筆是這個客家語言升職計畫的委辦費被減列了1060萬元那這個
transcript.whisperx[187].start 6363.251
transcript.whisperx[187].end 6379.821
transcript.whisperx[187].text 我很擔心的是 是不是會直接影響到 客語能力認證的 施策的場次目前我們清涼的育婦 也要行業推動所以也要部分 我們清涼不需要影響但是 沒確定說以後的財產 也要說幾年 幾年之後 要如何有影響
transcript.whisperx[188].start 6388.82
transcript.whisperx[188].end 6405.359
transcript.whisperx[188].text 好 這個是我非常擔心的喔因為其實我們高雄也有四個是這個客家相關的莊就是包括美濃 山林 六龜甲仙嘛那其實在我們市區其實客家的人口也不少那像我們這邊古山就也有近兩成那還有三明也是兩三成
transcript.whisperx[189].start 6405.919
transcript.whisperx[189].end 6431.09
transcript.whisperx[189].text 那我很擔心說這樣子預算刪減下去或是這個凍結到時候沒有辦法解凍的話是不是會影響到我們這個實測的場次因為其實我也知道說像我們高雄真的很努力在推廣我們高雄的市府的課委會也是很努力所以這種本土文化的保存工作啊我們也是一直有在鼓勵大家趕快來考課餘這個能力的認證那甚至還提高了課餘能力的這個認證的獎勵金那我很擔心說如果到時候真的
transcript.whisperx[190].start 6434.731
transcript.whisperx[190].end 6448.471
transcript.whisperx[190].text 預算被迫減少然後考試的場次影響到的話那等於是前功盡棄我們這麼地方這麼努力的在做這個本土文化的保存跟推廣然後結果中央被因為特定的委員把這個預算刪掉
transcript.whisperx[191].start 6450.093
transcript.whisperx[191].end 6459.405
transcript.whisperx[191].text 導致我們推廣的這個場次進行不下去所以我這個是非常擔心啦所以我在這邊也是希望像主委剛剛講的還是盡量到時候如果預算可以有調配的空間的話盡量不要去影響到能力認證這方面的場次跟推廣
transcript.whisperx[192].start 6468.016
transcript.whisperx[192].end 6476.339
transcript.whisperx[192].text 也跟議員補充啦 因為他的母親也受到影響 因為我們宣傳的生態60% 也在櫃台的一部分所以每一項的宣傳都很感受 感受的宣傳 包括他的認真 比方說像認真 宣傳要跟他講 他要保命的 他要用的
transcript.whisperx[193].start 6490.765
transcript.whisperx[193].end 6496.947
transcript.whisperx[193].text 感謝 感謝 因為那些人 人就不對說 有人要諮詢的所以 目前來說 人家那些事都影響了就 報名的人數 可能沒有很多人家 目前都看得到這就是我擔心的對 光是你們宣傳費如果不夠大家連考試的資訊都不知道
transcript.whisperx[194].start 6509.611
transcript.whisperx[194].end 6525.091
transcript.whisperx[194].text 那可能報名的人次就受影響那整個能夠被保存的這次能夠因為考試而推廣這個課與認證的範圍又縮小了這就是我最擔心的一件事情那最後還有點時間我來補充爭取一下因為我知道說你們今年有這個課加幣的計畫
transcript.whisperx[195].start 6526.733
transcript.whisperx[195].end 6532.598
transcript.whisperx[195].text 那我不知道說這個到底接下來會不會因為你們的可能通商那個636億被影響到或者是你們現在手上的31.9億還有凍結3.6億的目前的經費而受到影響那我希望不會
transcript.whisperx[196].start 6542.145
transcript.whisperx[196].end 6568.603
transcript.whisperx[196].text 那如果不会的话在这样的前提之下可以顺利的推行客家币的计划因为我知道里面其实政策蛮好的就是说18到20岁的本国的青年可以来参与抽签然后抽出40万份然后通过客语认证的还有客语家庭的人就可以来领然后去相关的这个客家的店家消费嘛那我目前看到的是因为你们目标是3000家可是目前大概只招到了800间
transcript.whisperx[197].start 6569.804
transcript.whisperx[197].end 6584.909
transcript.whisperx[197].text 相關的客家店家那我在想是不是因為你們把相關的範圍只限縮在客家文化重點發展城鄉裡面的行政區呢如果可以是不是再放寬就像我剛剛提到的我們高雄市區雖然高雄有四個
transcript.whisperx[198].start 6585.749
transcript.whisperx[198].end 6607.045
transcript.whisperx[198].text 六龜美濃然後山林甲仙除了這四個之外其實其他的行政區的客家人口也不少啊那像我們鼓山像我們三明鳳山其實都也有一定的客家比例的人口那是不是也可以把這一些行政區放進去不要只限縮在客家文化發展的城鄉區呢
transcript.whisperx[199].start 6608.687
transcript.whisperx[199].end 6611.11
transcript.whisperx[199].text 感謝李燕 李燕提的提議 我覺得在各方面的研究看到有發出確態的目 當一般的提起以外共學的重點 也要研究
transcript.whisperx[200].start 6622.521
transcript.whisperx[200].end 6649.169
transcript.whisperx[200].text 好謝謝主委那我的目的當然是希望說如果這一些城鄉發展區可以優先啦那重點是這一些使用客家幣的人口他們去客家的店家使用的時候可以有更多客家文化的交流嘛那包括說他的店家本身就是推廣客家文化的或者是他的店員是可以講客家話的那如果我們市區也有這樣的店家其實也可以把他們納入那目標就是三千間都可以都可以招進來嘛
transcript.whisperx[201].start 6650.349
transcript.whisperx[201].end 6654.63
transcript.whisperx[201].text 好謝謝主委謝謝好感謝王美燕好主席一位同仁請我們的谷主委
transcript.whisperx[202].start 6683.621
transcript.whisperx[202].end 6704.272
transcript.whisperx[202].text 好 主委好 主委 針對我們刪減的預算 我看這1.9億 裡面就列了五項 包含我們博工的護照 還有那個客家的推廣還有產業的推廣 藝文的推廣 那2年期的營運 那你這1.9億
transcript.whisperx[203].start 6706.754
transcript.whisperx[203].end 6713.617
transcript.whisperx[203].text 9億的刪減,那對你整個運作有沒有受影響有,有所影響,就像VN說的那幾項,我們很感激警惡,不出提防的警惡,還有感激那些攀離的蟲吃,這都有所影響對,因為主委,你在
transcript.whisperx[204].start 6728.826
transcript.whisperx[204].end 6756.02
transcript.whisperx[204].text 在推廣的客家 其實包含本席比較注重的就是那個客家的語言的推廣還有我們現在還有一個凍結的3.6億這整個的客委會的運作是一個大大的打擊那我們還是要趕快來做解套吧那本席這邊跟你探討一下就是2012年開始舉辦的
transcript.whisperx[205].start 6758.941
transcript.whisperx[205].end 6774.459
transcript.whisperx[205].text 又刻意認證那你現在又年齡又下修到四歲四歲就可以來報名那你整個的我們的幼童的推廣這個成效現在是怎樣
transcript.whisperx[206].start 6775.879
transcript.whisperx[206].end 6779.14
transcript.whisperx[206].text 今天報告,去年一百一十三年有八千人參加今年五千人又減少,我們要探討的原因包括創始、判例的創始還有猶豫,是不是我們判的合不來敗想猶豫來參加,生意來參加
transcript.whisperx[207].start 6802.662
transcript.whisperx[207].end 6828.871
transcript.whisperx[207].text 因為真的我們客家語言的流失速度是真的非常的快那我看在我的選區在新北新北客家的人口應該有超過60萬那光是土城三峽這個區域的人口的比例也是非常的高所以我看到一些客家的小朋友他們現在都是不講客語
transcript.whisperx[208].start 6829.671
transcript.whisperx[208].end 6847.572
transcript.whisperx[208].text 那這是很嚴重的問題那我們要怎樣來做推廣呢你除了說是不是除了我們客家語言的推廣讓他們有些學習的認證以外還是辦一些我記得過去我們辦了一個客家大宴
transcript.whisperx[209].start 6849.432
transcript.whisperx[209].end 6873.027
transcript.whisperx[209].text 然後客家大院全部都是用我們的客家語言那我們是要怎樣來讓他們來欣賞我們的客家系來學習我們的客家語言我認為這個成效都不錯啊那我現在還有一點就在我們這個月的19號19號
transcript.whisperx[210].start 6876.843
transcript.whisperx[210].end 6885.689
transcript.whisperx[210].text 就是這個禮拜六這個禮拜六我們的土城有個同花祭新北就是土城這個場次那這個場次一半都是有好幾萬人
transcript.whisperx[211].start 6893.82
transcript.whisperx[211].end 6905.365
transcript.whisperx[211].text 那所以我們要怎樣去推廣 那你說你錢撥給新北市但是我來先問一下 主委你那天會不會到負主委跟主秘對 因為我們就是有一個差別的待遇錢是我們中央出的
transcript.whisperx[212].start 6920.424
transcript.whisperx[212].end 6942.684
transcript.whisperx[212].text 但是我們中央補助但是到了那一邊我看要說話的機會也是不大所以這一點吼我還是認為說我們要花的錢吼還是花在我們能夠有有真正的先導我們客家的族群吼然後我
transcript.whisperx[213].start 6944.813
transcript.whisperx[213].end 6973.235
transcript.whisperx[213].text 因為每年這個同花祭是辦得非常成功所以我們還是要跟他們結合說怎樣來辦,要互相尊重嘛就是我們客委會到我們地方民意代表沒說話那也OK但是起碼我們出的經費也是要適度的尊重我們一下這一點應該是跟新北市市政府大家溝通一下吧
transcript.whisperx[214].start 6975.81
transcript.whisperx[214].end 6975.993
transcript.whisperx[214].text 還有勒
transcript.whisperx[215].start 6981.448
transcript.whisperx[215].end 7006.365
transcript.whisperx[215].text 那我剛才那個我們蘇巧惠講的在三峽五寮五寮是一個有一個客家客家裡吧有個客家園區啊那個那個客家裡我看我們在我們我們客委會這邊來做輔導我認為是輔導的不是很成功嗎這一點就是我們要要加強的
transcript.whisperx[216].start 7008.602
transcript.whisperx[216].end 7008.722
transcript.whisperx[216].text 國會國會議員報告國會國會國會議員報告國會議員報告
transcript.whisperx[217].start 7031.736
transcript.whisperx[217].end 7046.514
transcript.whisperx[217].text 對因為畢竟在新北就是無料理嘛然後這個我們要怎樣去把它推廣怎樣當然啦就是要經費嘛那經費我們要怎樣預注包含找新北市
transcript.whisperx[218].start 7047.274
transcript.whisperx[218].end 7058.602
transcript.whisperx[218].text 大家共同來配合,讓這個地方能發展為客家一個里這是一個很重要的,那是一個山區嘛那是我們未來要推動的目標吧沒問題沒問題,我們可以跟鐵縫,跟鐵縫來交通看看鐵縫有沒有需要,我們可以提出
transcript.whisperx[219].start 7072.076
transcript.whisperx[219].end 7095.768
transcript.whisperx[219].text 好的好的好那我們都期待啦那我們未來還是推動一些大廠的就是那個不管是客家大戲啦還是一些子豐車就是來吸引我們一些小朋友大家共同就是用我們刻意的來煽導的方式應該效果會不錯吧好謝謝好感謝
transcript.whisperx[220].start 7101.909
transcript.whisperx[220].end 7111.337
transcript.whisperx[220].text 好 請劉許廷召委謝主席 谷主委有請好 請主委昨天早安 這個
transcript.whisperx[221].start 7120.771
transcript.whisperx[221].end 7146.696
transcript.whisperx[221].text 今天我們要來追蹤幾個之前有追蹤過的題目然後另外問追蹤一個之前追蹤過的題目啦另外問一個新的題目我們今天談的重點是客家這個客語友善環境的一個推廣那就本席的了解啦其實也從客委會第一會期的這個業務報告就有講我們希望這個推動這個企業社會責任倡議語言多樣性鼓勵各個企業其實都要營造一個客語友善的環境不能只有說
transcript.whisperx[222].start 7147.376
transcript.whisperx[222].end 7169.316
transcript.whisperx[222].text 公部門的部分有人來做但企業的部分速度比較慢所以其實過去就本期的了解包含在你們第三會期的業務報告裡面也有寫叫做公式客語無障礙環境補助計畫有補助公部門也有補助民間單位讓他有客語的志工有口譯的設備完善客語的播音等等的一些
transcript.whisperx[223].start 7170.197
transcript.whisperx[223].end 7183.154
transcript.whisperx[223].text 克與友善環境的這個使用的計畫其實做得不錯然後也有一些成果那它的概念當然要有公共化、多元化、普及化跟生活化那我今天想特別問一下在私人企業的這一部分你們現在目前為止你們覺得效果怎麼樣
transcript.whisperx[224].start 7184.682
transcript.whisperx[224].end 7209.679
transcript.whisperx[224].text 當然我們都覺得很不安全面啦很不安全面 但是也要好好在經濟部主持那間興業也要說私營的創意下去談的部分主委你可不可以舉一個例子告訴大家就是說以企業這個客語友善企業的角度來講有沒有幾個比較好的例子可以鼓勵大家做示範的
transcript.whisperx[225].start 7210.556
transcript.whisperx[225].end 7211.236
transcript.whisperx[225].text 哪一家醫院表現特別好?
transcript.whisperx[226].start 7237.563
transcript.whisperx[226].end 7238.405
transcript.whisperx[226].text 你就直接講因為我覺得鼓勵鼓勵做這樣好事的企業我覺得很棒像人家立新醫院立新醫院很好
transcript.whisperx[227].start 7245.029
transcript.whisperx[227].end 7270.079
transcript.whisperx[227].text 好我現在之所以會提這個問題是因為你曾經有叫做多元文化企業的社會責任客語友善企業獎也就是說我願意去花資源去投入去改善環境的這些企業我就給你光榮給你頒獎就像我剛剛講的你要把好的好人好事說出來嘛那我注意到第一屆這111年12月28號有做過一次第一次的頒獎第二屆則是在112年12月28第三屆好像就沒有下文了這個原因是什麼呢
transcript.whisperx[228].start 7270.864
transcript.whisperx[228].end 7274.829
transcript.whisperx[228].text 目前還沒有有新的協議進行所以要感謝委員提醒我們就要主動跟協議那邊聯絡所以等於現在是遇到瓶頸的意思嗎沒錯
transcript.whisperx[229].start 7287.707
transcript.whisperx[229].end 7316.044
transcript.whisperx[229].text 這個我希望還是在課委會在這個地方還是可以加大力度來做處理啦因為我覺得方向是正確的不能停在公部門這剛剛我已經講得很清楚那另外本席做個建議就是說在獎項的設計上他其實因為就本席的了解啦你要突然之間一次到完全到位其實恐怕很困難我想這也是為什麼你會陷入瓶頸的原因嘛因為你要一次把這個整個友善環境佈建起來你可能要花很多的資源多拼很多的人力之類的那我覺得也可以鼓勵企業用階段性的方式來處理
transcript.whisperx[230].start 7316.804
transcript.whisperx[230].end 7334.349
transcript.whisperx[230].text 那換言之你要怎麼樣來鼓勵怎麼樣來補助呢其實你可以把比如說獎助的項目你可以分成階段啊比如說同職獎、銀職獎、金職獎嘛或者是一星到五星等等一方面這個現在已經有在做的他還可以再進步嘛本來我環境一般班60分的我到80分的時候我可以再得獎
transcript.whisperx[231].start 7335.409
transcript.whisperx[231].end 7353.919
transcript.whisperx[231].text 那一般來講我如果從0分先到20分、40分你也可以讓他給予鼓勵我覺得這是把這個整體的門檻往下降的一種方式那我覺得用這樣的方式來推廣這個對於很多企業來講他可能會比較願意去嘗試去營造客語的友善環境請問主委對這件事你建議的想法現在我們在研究在幾個月之前這樣縫縮的口行所以我們請專家好早也要講第一線的行業單位在討論
transcript.whisperx[232].start 7365.151
transcript.whisperx[232].end 7373.56
transcript.whisperx[232].text 那這個部分你們討論的結果什麼時候會有一個比較具體的時間我是很擔心討論討論之後就沒下文啦這跟我待會的問題有關啦來 這樣三張要做得嗎我們要請那些民間的代理來討論一下
transcript.whisperx[233].start 7382.993
transcript.whisperx[233].end 7399.831
transcript.whisperx[233].text 好你們研究一下沒關係會後齁這個時間時間到的時候書面報告送過來好不好讓我們了解說這個事情的辦理的狀況我還是用鼓勵的心態來談這件事情就只要你可以做可以有進步甚至是你可以突破瓶頸這我想對於建構友善的客語環境它會是一個比較加分的項目
transcript.whisperx[234].start 7400.672
transcript.whisperx[234].end 7428.299
transcript.whisperx[234].text 我剛之所以講時間很重要是因為我要問第二個題目也就是有關於這個是本期之前雖然你那時候還沒有上任但本期那時候其實就問了就是有關於企業ESG納入客家語言推動的這件事情這同樣在客委會第一會期的業務報告裡面有講基於推動國家語言文化多樣性的目標這個當初就在1月跟3月邀集了經管會文化部 園民會等等都有來做協商希望可以修正這個經管會可以修正
transcript.whisperx[235].start 7430.319
transcript.whisperx[235].end 7453.619
transcript.whisperx[235].text 上市上櫃公司 企業社會責任實務守則也就是說做哪一些符合ESG嘛那要把多元語言文化把它列入維護社會公益的實踐範疇換言之就是你如果推廣友善環境你也算是盡了一份社會責任這ESG的部分這樣把它納入這個推動項目那第一位其實本期問過之前的主委楊昌正主委就是說我們說那時候講說這個到底有沒有進度
transcript.whisperx[236].start 7454.079
transcript.whisperx[236].end 7471.469
transcript.whisperx[236].text 然後他說那個時候開會對於條文守則的修正其實已經有一定的共識正在跟金管會討論然後那個時候他就講說這個這個一樣跟我講幾個月之內會給我一個交代但是喔 主委這個有時候現實比較骨感啦這一年過去了請問現在辦理的情況怎麼樣
transcript.whisperx[237].start 7472.648
transcript.whisperx[237].end 7487.216
transcript.whisperx[237].text 我跟議員報告,我們內地的事件,就有看到他的題目也有在他的事情,目前我們沒有提條文在南約那裡說的,所以目前就在他的進度沒有提條文卡住了?沒有辦法把推廣語言友善環境納入ESG的原因是什麼呢?是誰在反對呢?或者是說誰有什麼壓力,或是你有沒有困難?
transcript.whisperx[238].start 7500.362
transcript.whisperx[238].end 7507.486
transcript.whisperx[238].text 因為那個說 其實他要去認知施主心 要施主心依然還在占過大部分我們無法用我們窮之力量去跟他約束 故所以會遇到這樣的困難
transcript.whisperx[239].start 7520.086
transcript.whisperx[239].end 7539.472
transcript.whisperx[239].text 就本席的了解你只是把多元語言的環境建構納入也就是說你願意做這件事情你就算符合ESG嘛所以其實你把它納進去企業做或不做還是在他嘛企業願意做他就可以得分嘛那不願意做那他可以做別的項目來符合企業社會責任嘛所以我覺得這個好像不衝突了是不是請你再補充說明一下
transcript.whisperx[240].start 7542.194
transcript.whisperx[240].end 7549.46
transcript.whisperx[240].text 目前還是有這樣的困難,但是本來年餘的條文要加壓的部分推廣的部分,難易也要申告目前是這樣,要加壓也要難易申告出去,所以故事沒有提條文,只是要明列
transcript.whisperx[241].start 7563.479
transcript.whisperx[241].end 7585.289
transcript.whisperx[241].text 好 你一樣把這個東西的推動進度包含你遇到的困難因為我想知道這整個概念遇到什麼樣的阻力啦你又遇到困難也許可以解決嘛 對不對跨部會的溝通也許可以有一個好的結果所以你在推動中遇到什麼樣的困難你打算用什麼樣的策略來調整來因應然後同樣可以完成這個目標你一樣啦 這個會後提供書面報告給本席 好嗎好好 謝謝主委 辛苦了好 我們請市委政委員
transcript.whisperx[242].start 7602.239
transcript.whisperx[242].end 7605.49
transcript.whisperx[242].text 謝謝主席 我們請客委會主委好 請主委
transcript.whisperx[243].start 7614.878
transcript.whisperx[243].end 7637.594
transcript.whisperx[243].text 其實我們非常支持要推展各家文化那也支持應該樂見青年族群可以透過音樂去接觸客語但是文化的推廣不能失焦也不能跟高度政治化的場域綁在一起在您的報告當中有提到說會與大港開唱合作推動客家流行音樂
transcript.whisperx[244].start 7638.294
transcript.whisperx[244].end 7657.758
transcript.whisperx[244].text 那當然除了大港開唱之外還有浪人記 啪啪嘉年華這些那可是在大港開唱今年的活動現場我們看到歌手楊淑雅她在台上說音樂是政治 政治是音樂然後女人是政治 身體是政治身分也是政治而且還感謝現場舉著台灣獨立旗幟
transcript.whisperx[245].start 7660.279
transcript.whisperx[245].end 7671.651
transcript.whisperx[245].text 呼籲大家要支持罷免志工並支持替罷免花蓮團隊加油而且高喊大罷免大成功請問一下這樣的內容是文化推廣還是政治動員
transcript.whisperx[246].start 7673.249
transcript.whisperx[246].end 7689.149
transcript.whisperx[246].text 阿雄,因為民意方面都跟政治有關,也跟政治特別有關我們的所有事情都在文化、政治、沙非之間的圈一體
transcript.whisperx[247].start 7691.811
transcript.whisperx[247].end 7699.295
transcript.whisperx[247].text 所以谷主委的意思是您支持大港開唱的這些團體在整個音樂會上就提出要叩召大家罷免,大罷免大成功對,我們支持用音樂專業來發揮文化的創作所以我們支持他們用音樂來發揮但音樂是來推動大罷免這樣子
transcript.whisperx[248].start 7718.203
transcript.whisperx[248].end 7723.609
transcript.whisperx[248].text 到底嗎?並不必說,我認為尊崇敏是一個人共贏,他自己的政治立場,但是我們的支持也引起了發展。好,請問一下,請問一下國主委,剛剛從您的回答,事實上我覺得這個已經跟政治不一樣了,我們當然支持音樂,我們也支持年輕人,把青年的這個族群的音樂,透過音樂來接觸客語,可是當天我想這樣的一個狀況,
transcript.whisperx[249].start 7742.267
transcript.whisperx[249].end 7764.683
transcript.whisperx[249].text 很明顯的就是在替這個罷團在這個罷免花蓮團隊加油那而且在支持罷免志工我覺得這樣子的狀況在整個音樂活動上面事實上是失焦的那聽起來您好像也不反對嘛那請問一下您在這個我們的報告裡面說會跟大港開唱合作推動客家流行音樂那請問針對大港開唱你沒有補助經費嗎
transcript.whisperx[250].start 7768.127
transcript.whisperx[250].end 7776.431
transcript.whisperx[250].text Q&A以前有,但是今年沒有,今年沒有播出禁錶,但是也在大趕開場,雖然沒有播出禁錶,但也有請學家的學術、研究人員進行學習,所以我覺得也要再正面的做法
transcript.whisperx[251].start 7785.333
transcript.whisperx[251].end 7802.556
transcript.whisperx[251].text 大港開唱的團體也已經有對外也對媒體聲明說他們不會接受政府的補助這他們對媒體有這樣的說明那為什麼你們在這個報告裡面都還要在特別寫說你們要去跟大港開唱合作這個推廣推動流行客家音樂
transcript.whisperx[252].start 7803.357
transcript.whisperx[252].end 7824.859
transcript.whisperx[252].text 不會讓大港開場,我們要替全台灣我覺得我們相關的團體其實非常多,不要一直只侷限於大港開場我覺得有很多優質的團體,其實我們都可以請他們一起來參與推廣我們客家活動那既然大港開場都說不要接受政府的補助,我覺得我們也不必勒連去替人家冷屁股
transcript.whisperx[253].start 7825.399
transcript.whisperx[253].end 7829.482
transcript.whisperx[253].text 所以這部分我覺得要好好的慎選我們補助的團體那也有很多很多的客家團體其實是很值得我們來補助的因為當然台倉還有歷史還有歷史 還有那個軍隊還有他的營養節做得這樣合作的補助金需的法院的合格的營養營但是他們就不需要政府補助金費嘛
transcript.whisperx[254].start 7849.694
transcript.whisperx[254].end 7865.03
transcript.whisperx[254].text 我說他們不需要政府補助經費啊他們也公開這樣說另外我再想請教一下這個谷主委就是說我們現在立法院在第三會期的預算審查中有凍結了藝文傳播推展預算三千萬元
transcript.whisperx[255].start 7866.011
transcript.whisperx[255].end 7879.233
transcript.whisperx[255].text 那當時是請客委會只要提出詳細的報告經內政委員會同意後就可以動質那請主委說明一下針對我們這個議員推展預算中凍結的3000萬客委會是不是已經有提出解凍報告
transcript.whisperx[256].start 7880.1
transcript.whisperx[256].end 7882.361
transcript.whisperx[256].text 目前這樣結盤有規矩 但是要建設到緊批 緊批在之前的總預算請問主委 我的題目是針對藝文推展預算中所凍結的三千萬元 你們有沒有提出解凍報告
transcript.whisperx[257].start 7903.866
transcript.whisperx[257].end 7905.088
transcript.whisperx[257].text 目前針對客委會我們所提出的凍結案你們有哪一個案子提出凍結報告
transcript.whisperx[258].start 7912.149
transcript.whisperx[258].end 7914.711
transcript.whisperx[258].text 目前都很忙 因為要檢測毒菌費三處醫生有六百三十六億韓盟客廳要省奶的部分所以我沒辦法整堆的部分提出來請問一下何時可以提出解凍?還是有誰要求你們不要提出解凍嗎?沒有
transcript.whisperx[259].start 7936.183
transcript.whisperx[259].end 7953.436
transcript.whisperx[259].text 你們現在不解凍然後一直對外說因為預算被刪預算被凍所以沒有辦法推展什麼業務那我覺得這樣子就是有點自相矛盾我們很樂意你們隨時能夠提出解凍的一個報告那只要解凍報告提出來之後呢我們經過內政委員會同意當然就可以馬上來執行了
transcript.whisperx[260].start 7955.538
transcript.whisperx[260].end 7957.861
transcript.whisperx[260].text 跟議員說明 過去幾天刪除的預算1.9億等級的3.6億 但是在以外有可能含有因為以這一件我剛剛講的預算推展這個議員推展預算這一件的3000萬
transcript.whisperx[261].start 7973.737
transcript.whisperx[261].end 7999.784
transcript.whisperx[261].text 你們提出解凍報告有什麼困難嗎其實也不會影響到你們的預算呢這個部分我覺得請這個主委盡快把解凍的報告送上來我們就會把預算解凍讓你們可以正常的運作那另外就是我知道主委其實非常重視就是有關的課宇的推廣
transcript.whisperx[262].start 8001.204
transcript.whisperx[262].end 8015.716
transcript.whisperx[262].text 那尤其是我想也有各項各項的活動那其實根據客委會公告委託的110年全國客家人口與語言基礎的調查也是我們目前可以看到最新的調查我們的客家民眾整體會說客語的比例已經從105年的46.8%
transcript.whisperx[263].start 8021.361
transcript.whisperx[263].end 8038.365
transcript.whisperx[263].text 跌到110年的38.3%5年掉了8.5那會聽得懂課餘的比例也從64.3掉到56.4%那年輕族群更是斷崖式的流失13到18歲只有11.4%會說流利的課餘19到29歲則只有15.7%會說流利的課餘請問一下針對這個部分我們課委會有沒有什麼方式能夠來協助
transcript.whisperx[264].start 8050.987
transcript.whisperx[264].end 8061.95
transcript.whisperx[264].text 這個這方面的能夠提升我們的這個年輕族群還有兒童能夠能夠把他的課餘能力增加感謝委員對於要修飾下去看去我們目前全面各方面都要去照顧到養育法律去提升學校、社區特別家庭等等不過我要跟委員報告這裡要去跟他報告就我們
transcript.whisperx[265].start 8080.015
transcript.whisperx[265].end 8095.189
transcript.whisperx[265].text 重啟低估的 也會擬言複雜的困難度跟複雜性所以我們也要讓醫生嚴嚴不勞煩請那主委準備來怎麼做因為現在你說低估了這個客語認證的複雜性那請問你們要怎麼來去
transcript.whisperx[266].start 8097.751
transcript.whisperx[266].end 8101.273
transcript.whisperx[266].text 處理這個問題比方說 比方說我們在學校說學校開行業班有一個生育的學校我們就要教但是目前我們所在的社區有的營業沒有實質所以沒辦法教我們要不要變醫生來拚實質 入獄下來所以目前 目前課委會有編預算來培養實質嗎
transcript.whisperx[267].start 8125.228
transcript.whisperx[267].end 8142.337
transcript.whisperx[267].text 不行 不行 我要說的那個不行那不夠為什麼你們不多編一點預算呢這樣編的但是立法院還是增加了很多今年還是增加了很多預算不是嗎但是不行 不行你只要能夠提出來你們所編列的預算是用在對的地方 用在正確的地方基本上
transcript.whisperx[268].start 8142.957
transcript.whisperx[268].end 8149.346
transcript.whisperx[268].text 我想我們之前也講過啦如果你預算不夠甚至也可以追加減啦你要提出來你要有完整的計劃提出來那幾天我們都會提出來 故事還要講喔我們要這樣提出來的意思是說我們要這樣建築其實是嚴嚴不辣的啦我們要提國面 國面上要有國台的尊重就是我想
transcript.whisperx[269].start 8161.241
transcript.whisperx[269].end 8190.263
transcript.whisperx[269].text 因為時間的關係 所以說我想因為其實近五年的課餘能力的認證的總參加人數跟通過率我想你那邊應該都有資料那其中19歲以下的年輕族群的通過人數跟比例有沒有實際的提升還有這些數據是否與政策的推廣的成果相符而且針對各縣市辦理的這個課餘認證班我希望你能夠提供我近三年補助金額參加人數跟課程後續的追蹤成效
transcript.whisperx[270].start 8190.683
transcript.whisperx[270].end 8198.386
transcript.whisperx[270].text 我們共同來去探討一下要怎麼來去解決這樣的事情好嗎好我們會再提供好我們會再提供好我們會再提供好我們會再提供好我們會再提供好我們會再提供好我們會再提供好我們會再提供好我們會再提供好我們會再提供好我們會再提供好我們會再提供好我們會再提供好我們會再提供好我們會再提供好我們會再提供好我們會再提供好我們會再提供好我們會再提供好我們會再提供好我們會再提供
transcript.whisperx[271].start 8215.231
transcript.whisperx[271].end 8241.979
transcript.whisperx[271].text 他們雖然是民間團體那過去也一直因為被查水表例如用這種言論審查的方式思想審查的方式去干預他們的藝術性的表演所以今年他們也沒有領補助那連沒有領補助都可以被查水表可想而知過去他們是多麼的辛苦那大港開唱過去也一直以來都是非常包容本土文化扶植本土文化的一個音樂祭在這邊一定要幫他們來說明一下好那再來我們請張宏祿召位
transcript.whisperx[272].start 8246.069
transcript.whisperx[272].end 8251.917
transcript.whisperx[272].text 喔好丁薛忠委員丁薛忠委員丁薛忠委員不在我們請張宏祿召委好啦我請主委
transcript.whisperx[273].start 8270.674
transcript.whisperx[273].end 8294.853
transcript.whisperx[273].text 總召委主委早我先這樣子今天好多的委員都問請教你問你為什麼不送解動案什麼我知道身為一個客委會的主委我們在這邊一定要用客家話來回答這是尊重我們的族群你也知道我也算客家人不過
transcript.whisperx[274].start 8296.636
transcript.whisperx[274].end 8314.361
transcript.whisperx[274].text 我拜託主委30秒你用大家聽得懂的國語說一下不然你會造成誤解啊我覺得這一點很重要啦我身為也是半個客家人我真的請你用國語說一下給大家聽30秒
transcript.whisperx[275].start 8315.62
transcript.whisperx[275].end 8321.401
transcript.whisperx[275].text 好跟大家報告我們的預算課會的預算被刪了1.9億那但是還有留一個統刪不足636億要行政院自行調整而這個636億要在哪一個部會哪一個科目下刪多少的預算都沒有明獎那沒有明獎的情況下我們當然沒有辦法送這個解凍案因為
transcript.whisperx[276].start 8345.526
transcript.whisperx[276].end 8372.92
transcript.whisperx[276].text 因為這個是刪除如果客會刪的比1.9億還多那我們的解凍的數字會跟著調刪除的數字也會跟著調所以這個是困難所在好 沈蒙其實你講的客竅話我都聽得懂但今天在這個國會殿堂我們必須還是要對全國的民眾讓他們知道不然到時候你被誤解你就不知道要怎麼去跟誰說
transcript.whisperx[277].start 8374.176
transcript.whisperx[277].end 8401.11
transcript.whisperx[277].text 對不對我覺得再來今天大家也都一直在講要提振客家化啦你像年輕人啦主委你覺得一個文化一個信仰那我們以台灣的客家族群來講就好了你覺得什麼最能夠引起共鳴然後跟大家最容易了解你覺得
transcript.whisperx[278].start 8403.336
transcript.whisperx[278].end 8427.071
transcript.whisperx[278].text 委員指的意思是在台灣還是客家的部分台灣的客家就在台灣的客家然後呢在文化在語言你覺得哪一種是最容易讓人家了解的我覺得是如果讓人能夠了解親近我不是考題啦你放心答應該是跟生活有跟生活有關沒錯跟生活有關的像那個影響民眾最大的OK但我們再限縮一點點
transcript.whisperx[279].start 8433.274
transcript.whisperx[279].end 8445.603
transcript.whisperx[279].text 大概是什麼?譬如說教堂、醫療,還有那個審判,審判裡面的善良、謹記,他的審判裡面的私寵等等。我跟你講,信仰,我覺得信仰是最容易的啦。你看我們的客家,我們的北港的文化或什麼的,其實我覺得在這裡面,
transcript.whisperx[280].start 8462.011
transcript.whisperx[280].end 8488.876
transcript.whisperx[280].text 我一直覺得你那個博工照護站或什麼那不是不好 那很好但我們如果以生活一點你去看台灣有很多的廟宇他辦得非常好大家搶著要去拜拜 要去幹嘛要去讓神明給你加持什麼的那你覺得我們如果要推展客家的文化跟客家的語言我們有一個長期的
transcript.whisperx[281].start 8489.895
transcript.whisperx[281].end 8493.838
transcript.whisperx[281].text 我們從客家的信仰裡面開始來著手 主委你覺得可不可惜?那些好的想法 因爲在信仰那些沒有地盤 我們的一個綜合體所謂的綜合體 如果我寫下去 可能會成為最大的學法接觸到最大的跟學界有關的理想風俗 還有一個風雄
transcript.whisperx[282].start 8516.96
transcript.whisperx[282].end 8537.062
transcript.whisperx[282].text 一個信仰也可以讓主委你說的年輕人去參與那就像剛剛主委你說的在這個信仰在這個裡面客家話講最多啦然後連客家的音樂也可以出來連客家的美食什麼都可以出來那我們可以辦全國一系列的這個
transcript.whisperx[283].start 8539.602
transcript.whisperx[283].end 8547.089
transcript.whisperx[283].text 把錢花在刀口上然後讓大家覺得很有趣然後也是信仰去拜拜就能夠得到神明的庇佑
transcript.whisperx[284].start 8548.28
transcript.whisperx[284].end 8574.173
transcript.whisperx[284].text 然後這個是不分族群都可以去拜拜都可以得到這個神明的庇佑我個人覺得如果這樣子去推廣大家又可以吃到美食又可以接觸到所有的文化然後你的客家幣在這邊花也可以促進這個地方的經濟然後跟廟宗教信仰結合起來我覺得那個是非常快速去發展的诸葛你覺得
transcript.whisperx[285].start 8575.193
transcript.whisperx[285].end 8593.617
transcript.whisperx[285].text 我們可以去討論研究看來是用的盤理的方式 當然要跟新用錢結合我覺得就像主委講的 跟信仰結合 然後我們一次也不要心太大我們有幾個
transcript.whisperx[286].start 8597.335
transcript.whisperx[286].end 8623.941
transcript.whisperx[286].text 客家人常常去拜的比如說三三國王比如說土地公那你也可以先從土地公開始啊從北中南然後各地大的土地公我們今年先來辦這個啊然後北中南然後這樣子一連一連串的活動這樣子我覺得那客家幣在這邊花也讓這些攤販這些什麼的大家可以賺到錢啊去到那邊可以接觸到很
transcript.whisperx[287].start 8624.821
transcript.whisperx[287].end 8636.01
transcript.whisperx[287].text 很實際的客家文化啦 我是這樣建議啦 那主委你思考一下啦齁那再來 剛剛也有很多委員啦 一直在講童話劑啦主委 我不知道啦齁你對童話的感覺 那我對童話的感覺其實它不只是漂亮而已
transcript.whisperx[288].start 8649.161
transcript.whisperx[288].end 8678.741
transcript.whisperx[288].text 以前多少客家人是靠銅花吃飯的主委是不是啊有一段時間這樣對不對有一段時間這個銅花是養活了不少客家人像我們中部苗栗那邊也很多是靠這個啊做茶嫁做什麼的很多啊都是用這些啊主委我們如果去日本賞櫻花你會去看一個地方而已嗎還是去看很多地方
transcript.whisperx[289].start 8679.563
transcript.whisperx[289].end 8707.181
transcript.whisperx[289].text 我那邊就有地方很多地方嘛對不對所以很可惜耶我們台灣的童話劇我一直看看看都給縣市政府辦我不認為那是也不是說他錯啦但就沒有一個一連串的北中南或什麼或是給國外的人來這個童話劇對客家的精神有多重要然後在這裡面我們童話劇可以北中南三天的行程五天的行程
transcript.whisperx[290].start 8708.376
transcript.whisperx[290].end 8723.275
transcript.whisperx[290].text 台灣人也可以去啊外國人你也可以去推銷啊東南亞多少客家客家人對不對我們是不是可以包裝一個這個行程對不對然後陳董事長也在大家互相配合然後去宣傳我覺得
transcript.whisperx[291].start 8726.132
transcript.whisperx[291].end 8746.73
transcript.whisperx[291].text 對不對然後如果你跟我剛講的信仰的又如果時間可以配合到的又可以重複因為我覺得以生活當中啦去推推廣這個客家文化不知道主委你你的感覺我認同對審法地盤人民有感阿故所的委員講的
transcript.whisperx[292].start 8748.411
transcript.whisperx[292].end 8755.015
transcript.whisperx[292].text 旅行 旅遊 信用 文化 環境 全部都結合起來還有食物最重要的還有目前 要不要像這樣推動可以啦 我覺得我們可以試試看啦 好不好 主委好 謝謝感謝 總召委好 謝謝張宏陸召委再來我們請徐欣盈委員
transcript.whisperx[293].start 8797.103
transcript.whisperx[293].end 8797.323
transcript.whisperx[293].text 主席
transcript.whisperx[294].start 8808.897
transcript.whisperx[294].end 8826.592
transcript.whisperx[294].text 現在一個立法院小學堂的考試請秀第一張投影片我們去年在審查今年總預算的時候我們在內政委員會內政委員會的提案表
transcript.whisperx[295].start 8832.988
transcript.whisperx[295].end 8836.55
transcript.whisperx[295].text 主委他會等於是最後的決議嗎所以我在這裡凍結該項預算4億元最後改成怎麼樣
transcript.whisperx[296].start 8847.734
transcript.whisperx[296].end 8852.815
transcript.whisperx[296].text 現在的主決議在報告上很低我想這個應該不是課委會刻意流出去給很多的網軍策略沒有沒有,現在應該會有更快的諮詢所以我今天這個
transcript.whisperx[297].start 8870.499
transcript.whisperx[297].end 8879.962
transcript.whisperx[297].text 立法院小學堂就是希望讓很多的年輕人關心立法院非常好但是要了解真相不要拿提案表
transcript.whisperx[298].start 8885.464
transcript.whisperx[298].end 8891.909
transcript.whisperx[298].text 就拿來說這個是決議好不好我先問你我先問你等一下要不要過去決議以前要出席他跟董燕你也要再拋棄也有可能重申啦我如果讓你說不准兩下
transcript.whisperx[299].start 8905.731
transcript.whisperx[299].end 8933.836
transcript.whisperx[299].text 今年 今年二月開始他拿的所以這早就改了啦好 沒關係 不用浪費我時間不是 還蠻改的部分啦 剛才說的你用版 妳用版安定啦我再測試一下沒有啦 不用啦我們要推敲啦因為那時間有落差嘛那拿走就是原始版啦那沒關係嘛 你現在澄清了嘛提案不等於決議嘛對 而且最後是改組決議只要報告 對不對
transcript.whisperx[300].start 8935.396
transcript.whisperx[300].end 8939.698
transcript.whisperx[300].text 結論是這樣那現在在哪來講有意義嗎?譬如說今年2月、3月、4月到現在講凍結肆意有意義嗎?還是有意義,因為這是一個過程不是過程,他是一直講現在被凍結肆意不要不要
transcript.whisperx[301].start 8962.069
transcript.whisperx[301].end 8967.914
transcript.whisperx[301].text 我現在在講這個案你浪費我很多時間我在講這個案你不要再去講到業務費我在講這個案有凍結事宜嗎最後的結論目前時候提報告好啦提報告嘛提報告沒有凍結那你為什麼不講你就講一下沒有凍結嘛我有凍結事宜嗎現在再答覆我一次
transcript.whisperx[302].start 8986.167
transcript.whisperx[302].end 8988.95
transcript.whisperx[302].text 主決意就沒有凍結的那個你真的搞不懂,連你都搞不懂沒有啦,一個經同意後使得凍結
transcript.whisperx[303].start 9010.165
transcript.whisperx[303].end 9017.469
transcript.whisperx[303].text 沒有啦 凍結預算4億就劃掉啦所以沒有凍結 摸凍結你看 你知道主委一個主委對這個提案 用了我三分多鐘了接下來 我想
transcript.whisperx[304].start 9031.736
transcript.whisperx[304].end 9040.846
transcript.whisperx[304].text 我們客語的傳承還有客家文化的傳承剛剛我們張宏祿召委講得非常好他有說錢要花在刀口上
transcript.whisperx[305].start 9042.667
transcript.whisperx[305].end 9064.013
transcript.whisperx[305].text 但是我們也非常肯定 客核會長期以來做了很多客語推廣的努力包含網路有多元課程 包含客語的認證辦了很多翻譯世界名著 還有培訓了很多公開宣講員這個都做了很多 沒錯但是我們看到的是這個數量
transcript.whisperx[306].start 9066.734
transcript.whisperx[306].end 9093.172
transcript.whisperx[306].text 這個成果用這樣子的量化可是輕忽了它的品質跟我們的最終的目的是要推廣客語所以客語它是一種語言就跟我們不管學台語還是學英語一樣那需要的是環境我想主委你認同吧你只要講認同不認同就是說語言它需要的是環境而且是盡量要融入在生活中您認同嗎
transcript.whisperx[307].start 9093.612
transcript.whisperx[307].end 9116.181
transcript.whisperx[307].text 我的念頭,我念頭,但是要反經,那不是一間人建立下來的對,我知道,當然當然,我沒有說,我沒有再往下講,還沒往下講啦所以呢,我們在這邊希望建議就是說,你量化的指標,是不是可以轉化成客語在日常生活中的使用
transcript.whisperx[308].start 9117.746
transcript.whisperx[308].end 9130.272
transcript.whisperx[308].text 就說你們做了那麼多但是是不是接下來包括今年的預算開始使用的時候你要讓課宇怎麼樣可以真正在每個區塊每個區塊可以討論的環境我們的環境能夠在每個區塊每個區塊你慢慢的從一個區塊比如說南部
transcript.whisperx[309].start 9138.436
transcript.whisperx[309].end 9146.385
transcript.whisperx[309].text 南部他比較少客家莊但是有客家莊的地方客家人的地方你讓他一個區塊把讓這個客語可以慢慢的成為生活然後擴散就像我會哭人但是呢喉嚨會哭的事但每當你哭的時候你會哭
transcript.whisperx[310].start 9157.598
transcript.whisperx[310].end 9175.254
transcript.whisperx[310].text 所以我們應該讓這個客語的這種生活上的應用更多還有包含我們這個這麼多量化的指標大家你在報告中也一直寫然後每年我們也花了很多的預算那我們有沒有促進跨世代的自然傳承
transcript.whisperx[311].start 9175.854
transcript.whisperx[311].end 9200.093
transcript.whisperx[311].text 也就是說要一代一代傳下去那還有就是說我們課語考試認證通過了那是否有代表他在市場在家庭在鄰里之間呢大家可以很自然的用課語來溝通甚至讓更多的人他可能不一定很會講但他已經都聽得懂課語或是可以聽得懂一半
transcript.whisperx[312].start 9201.354
transcript.whisperx[312].end 9224.028
transcript.whisperx[312].text 或者是他講得出幾句客語其實就像我對台語我都聽得懂然後我可以講部分我沒辦法講得很認真對台語但是我聽得懂我可以跟人家溝通那我要講的話我就講幾句我還可以叫我全部講我又沒辦法所以我們的客語可不可以朝向這方面我們來推廣的好一點
transcript.whisperx[313].start 9225.102
transcript.whisperx[313].end 9233.71
transcript.whisperx[313].text 當然圖羅維研所說的沒有錯,其實我們說的抑鬱要罰錢,我們妹妹預算不拿所以它又一點幾又散了你一直要強調這個經費,那我覺得我們現在在談預算很多人談預算的人他沒有關心你真正刻意的傳承
transcript.whisperx[314].start 9250.939
transcript.whisperx[314].end 9268.354
transcript.whisperx[314].text 所以主委你不要落入那個我們客家人我們都是客家人其實所有的政治人物包括所有的這些網軍側翼他來喊喊喊喊到最後我們自己客家人要知道我的客語是不是真的在地方有推廣
transcript.whisperx[315].start 9268.954
transcript.whisperx[315].end 9274.462
transcript.whisperx[315].text 是不是在台灣 客語跟客家文化是保存下來的那會說啊 通生過台灣啦 沒搬兩千啦三萬大便 江山江天啦所以他們現在的進行是 三萬大便啦
transcript.whisperx[316].start 9286.198
transcript.whisperx[316].end 9288.839
transcript.whisperx[316].text 所以客委會的預算每年也增加所以不要老是用這種意識形態好不好我現在講 不然你生命就好了不然你生命就好了
transcript.whisperx[317].start 9308.55
transcript.whisperx[317].end 9318.816
transcript.whisperx[317].text 我們現在課餘 我們花了那麼多錢我們要知道 陸續要寫不勞拜 要寫不勞拜永遠不夠啦不勞拜 因為你那個負責 過困難最後 最後 你會說兩件事 我跟你說你們在報告裡面 你要花 發客家幣客家幣 你要發這個一千塊發四十萬人 等於花四億
transcript.whisperx[318].start 9338.988
transcript.whisperx[318].end 9356.625
transcript.whisperx[318].text 人家文化幣文化幣是給年輕人的成人禮客家幣發給18到20歲的年輕人你這是什麼理由我沒有反對喔我應該先講我支持客家預算但是我更支持是我們所有的預算
transcript.whisperx[319].start 9357.606
transcript.whisperx[319].end 9376.952
transcript.whisperx[319].text 假設別人有更好的成果比你用少的錢或用跟你一樣的錢他有更好的成果你不要一直喊我錢要多然後都不去看成果我們要強調的是你成果要出來所以你花這個4億的客家幣你先說這個是什麼禮人家文化幣是成年禮你是什麼禮
transcript.whisperx[320].start 9378.952
transcript.whisperx[320].end 9380.314
transcript.whisperx[320].text 通過特意認證的你不要給他抽籤嘛
transcript.whisperx[321].start 9399.856
transcript.whisperx[321].end 9416.594
transcript.whisperx[321].text 通過客語認證你就每個人發他一千塊我建議這第一個第二個預計發放四十萬客家幣你卻只有預估三十二萬人前往客庄人家發一千塊一個人就會帶一家人或帶兩三個朋友前往
transcript.whisperx[322].start 9417.074
transcript.whisperx[322].end 9431.837
transcript.whisperx[322].text 你發了四十萬客家幣一人一千四十萬人結果你只預計三十二人次前往喔 這個消息效益太差了 我要請李燕報告李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李燕報告 李�
transcript.whisperx[323].start 9434.279
transcript.whisperx[323].end 9444.302
transcript.whisperx[323].text 但是不要一直說不夠我們要看有限的錢我們怎麼做得最好但是我全力支持客家預算你現在你就說嘛我給你4億發客家幣
transcript.whisperx[324].start 9452.825
transcript.whisperx[324].end 9469.861
transcript.whisperx[324].text 你既然是40萬人你只預計32萬人前往這不太誇張了你報告裡寫的啊本案估計才動你預估就估太少了啦我知道你前面浪費了我很多時間謝謝
transcript.whisperx[325].start 9477.025
transcript.whisperx[325].end 9489.431
transcript.whisperx[325].text 好 中介病 中介病 中介病委員不在 楊瓊瑜 楊瓊瑜 楊瓊瑜委員不在鄭振淺 鄭振淺 鄭振淺委員不在林國成 林國成 林國成委員不在林俊憲 林俊憲 林俊憲委員不在何慶淳 何慶淳 何慶淳委員不在請徐富奎委員謝謝召委 有請我們組委好 請組委
transcript.whisperx[326].start 9505.677
transcript.whisperx[326].end 9511.96
transcript.whisperx[326].text 請問 主委 主委 我要質詢之前 我先看今天第一個標題不是唐山過台灣沒辦點錢 不是唐山過台灣沒辦點錢是唐山過台灣沒辦點錢 主委 這個我看今天早上的業務報告我當然問幫人家張宏祿委員 總廳擔心那些錢沒下來
transcript.whisperx[327].start 9534.404
transcript.whisperx[327].end 9542.276
transcript.whisperx[327].text 若不放棄的話 我想我們作為一個平衡的核桿自體我們要再想想 平衡的建設會不會不堅強注意 若不對平衡的核桿的建設 有什麼看法會不會因為我們的總預算的減少 受到衝擊
transcript.whisperx[328].start 9550.769
transcript.whisperx[328].end 9552.532
transcript.whisperx[328].text 養熊是一定會養熊的 因為目前我們看到我們的醫生3.91% 還有凍結3.62%那些過去以來沒有的狀況 今年最陽春
transcript.whisperx[329].start 9565.731
transcript.whisperx[329].end 9572.756
transcript.whisperx[329].text 這就是合併醫生本來就在國庫市面前清掃的醫生40億已經是清掃的做的事情暗斗 也要學習依賴政策不是依賴公營 沙啡沒有 依賴政策我所謂的政策是隔10天 醫生沒有天然的行業 落差又太大所以我認為40億都可以清掃的錢
transcript.whisperx[330].start 9594.811
transcript.whisperx[330].end 9597.413
transcript.whisperx[330].text 其實做討論做得散但是也要散的途徒,這才是特大
transcript.whisperx[331].start 9603.397
transcript.whisperx[331].end 9630.439
transcript.whisperx[331].text 今天宋伯通主委有討論過像我們園民會 園營協助團的策略度但是依算是我們客戶的記憶比我們還是要自己努力啦可能因為針對我們所有客家鄉鎮的軟硬體的建設還要奉免 包括藝文還要恰恰奉奉可以整理整理以後可以做民宿 做觀光
transcript.whisperx[332].start 9631.219
transcript.whisperx[332].end 9640.786
transcript.whisperx[332].text 其實有些人在那裡學生的有機會多多少少人在那裡提防我們在那裡安居之類的我想主委是用那裡的設施去做
transcript.whisperx[333].start 9641.658
transcript.whisperx[333].end 9652.061
transcript.whisperx[333].text 不錯不錯 我知道這樣提防藥再多的需求提防藥再多的需求所以我提醒大家 醫生很重要的在醫生院所在國上去其實對所有的年齡都不太好對藥發展都不太好我想藥丸藥也有同樣的所有民進黨的立場一定會來支持有拜託主委
transcript.whisperx[334].start 9671.187
transcript.whisperx[334].end 9676.172
transcript.whisperx[334].text 將被刪除含有凍結的部分加進去盤點 讓我們加進去送出來我們加進去努力啦我們希望合格委員會可以發揮的作用改造可以做的事改造 尤其是我們合格的鄉親 因為在交台啦這樣好不好好 感謝委員的支持 感謝
transcript.whisperx[335].start 9692.313
transcript.whisperx[335].end 9714.01
transcript.whisperx[335].text 主委,我想今天我們合格煎炮城的六堆每年公園會創邀一個節慶活動判的規模引入印太,我們也被列為全國合葬十二大的節慶活動之一,我想主委要支持,要服從但是呢,我們調查一些資料,再抽明年補助金額
transcript.whisperx[336].start 9715.091
transcript.whisperx[336].end 9718.353
transcript.whisperx[336].text 沒有改動,差不多兩百萬,其實要兩百萬,要判在法庭還這麼辛苦啦主委,您有看這個事情嗎?我們剛才要緊批,有國稅一事啦,全面
transcript.whisperx[337].start 9730.658
transcript.whisperx[337].end 9733.499
transcript.whisperx[337].text 從今年來,省錢的優惠比去年還要薄所以,那些醫生,說來說去,還是很多醫生如果醫生,他的規模,做這樣的態勢所以,做的支持,我們的企業,一定會支持啦
transcript.whisperx[338].start 9748.57
transcript.whisperx[338].end 9760.822
transcript.whisperx[338].text 主委我們現在台灣我們沒有分北課南課我們國庫課委會還支持我們浪漫台三線像我們的六堆也是我們合格再創造一個場域我們想國庫
transcript.whisperx[339].start 9764.485
transcript.whisperx[339].end 9782.217
transcript.whisperx[339].text 看到學位費,針對我們浪漫台山縣,五、七、十一的金費,這樣投資下去就漏印錢,不然這樣,南部的學館員,讚美羨慕啦,看到這樣實在是天壤之別,我認為,主委要請教南部的學館員,針對他們的落差,要怎麼處理,讓他們入隊的學館員,更有平衡感啦。
transcript.whisperx[340].start 9789.601
transcript.whisperx[340].end 9795.424
transcript.whisperx[340].text 莫不愧是羅曼陀三先生大出名聲請問在六對法定的合作我們可以由國台的法庭出來目前在國內當中包括法庭、媒體的宣傳等等我們可以從六對和特區選舉進行
transcript.whisperx[341].start 9815.433
transcript.whisperx[341].end 9839.706
transcript.whisperx[341].text 我們是拜託主委啦吼,我們依依我們委員會主委拜託的講其實因為我們現在在屏東攀佛洞,我們還集中在一個鄉鎮攀,我們有八個合格鄉鎮,讓人家要行一套科目,我們有法律啦吼,我們希望八個鄉鎮總會有針對不一樣地方特色,攀起它的藝文活動,甚至我們再度合格的邀請,
transcript.whisperx[342].start 9841.467
transcript.whisperx[342].end 9851.715
transcript.whisperx[342].text 他來創業做大店長的計劃我們應該要做更好的基盤主要來支持好嗎我們在各方研究來支持所以最後我們說
transcript.whisperx[343].start 9854.053
transcript.whisperx[343].end 9864.598
transcript.whisperx[343].text 也有委員提到客家畢業的事情有提出一個質疑問題國勇司他提的是跟屏東縣兩個部署的對象共用沒有共用國勇司是年滿20歲屏東縣是18到20歲客委會也沒有共用18到20歲另外共同的部分就說
transcript.whisperx[344].start 9879.505
transcript.whisperx[344].end 9888.597
transcript.whisperx[344].text 117年的課餘認證含有合格的合課餘的家庭成員我們想中央同地方擁有無窮用的補助的年齡的問題問題出您來
transcript.whisperx[345].start 9894.873
transcript.whisperx[345].end 9900.957
transcript.whisperx[345].text 要在過程中進行討論和辯論所以有請提防政府來討論的時節我沒有強調,我沒有強調解脫所以目前全國的統一不能有良的版本
transcript.whisperx[346].start 9911.804
transcript.whisperx[346].end 9913.706
transcript.whisperx[346].text 沒有另外的版本 一個版本 要不然是18歲還是20歲?18歲到20歲 最多18歲到20歲 沒分因為我看到這樣 因為時間 工作時間這樣 本來要等一個年齡層後來又再加 加到18歲到20歲
transcript.whisperx[347].start 9936.989
transcript.whisperx[347].end 9940.873
transcript.whisperx[347].text 另外希望客家美業可以運用到合格的商家等方有這個意義但是目前合作廠商只有790多件品統案發只有61件應該不老闆
transcript.whisperx[348].start 9952.247
transcript.whisperx[348].end 9955.569
transcript.whisperx[348].text 不太白,因為有要求政府等於要三萬億元頂價要求主要他要用的條件,他要講學,所以要接講學的導資,聽那個因為數位支付
transcript.whisperx[349].start 9970.937
transcript.whisperx[349].end 9978.041
transcript.whisperx[349].text 所以要有TWQ來實驗人家的言語法律所以可能有時他用的條件沒有法律符合,沒有法律掩蓋所以要普遍來,我會再去請人家的代表再去加強
transcript.whisperx[350].start 9986.533
transcript.whisperx[350].end 9994.958
transcript.whisperx[350].text 主要來說一定要加強,不然量壓的錢沒辦法用,沒辦法落實人家的健康經濟對啦,是說健康經濟能夠活絡,還要再衝壓,但是一定要深入到人家的偏鄉的地方,加強的輔導這樣好嗎?是,一定可以,一定可以,這是我們自己的要求,我們自己的自我要求好,說到這裏就結束了,謝謝
transcript.whisperx[351].start 10014.403
transcript.whisperx[351].end 10032.181
transcript.whisperx[351].text 好 羅明財 羅明財 羅明財委員不在林儲贏 林儲贏 林儲贏委員不在邱志偉 邱志偉 邱志偉委員不在蘇清泉 蘇清泉 蘇清泉委員不在林思敏 林思敏 林思敏委員不在蔡宇宇 蔡宇宇 蔡宇宇委員不在葉遠志 葉遠志 葉遠志委員不在我都不在 齊委員還跟自己在
transcript.whisperx[352].start 10037.118
transcript.whisperx[352].end 10058.373
transcript.whisperx[352].text 好登記發言委員除不在場者外其餘禁語發言完畢詢答結束委員高進樹美林思敏丁學中所提書面質詢列入紀錄刊登公報書面質詢何為及答覆部分請相關單位於一週內以書面答覆並複製本會本日會議到此結束現在上會