iVOD / 16469

Field Value
IVOD_ID 16469
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16469
日期 2025-01-15
會議資料.會議代碼 委員會-11-2-26-18
會議資料.會議代碼:str 第11屆第2會期社會福利及衛生環境委員會第18次全體委員會議
會議資料.屆 11
會議資料.會期 2
會議資料.會次 18
會議資料.種類 委員會
會議資料.委員會代碼[0] 26
會議資料.委員會代碼:str[0] 社會福利及衛生環境委員會
會議資料.標題 第11屆第2會期社會福利及衛生環境委員會第18次全體委員會議
影片種類 Full
開始時間 2025-01-15T08:30:35+08:00
結束時間 2025-01-15T12:26:00+08:00
影片長度 03:55:25
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/bfaf9b39ac01a68586ebbf7d18770eaf6adffd4dccc8d5f918d20170ff19eea6ac60cb9293d39f3b5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2025-01-15T09:00:00+08:00
會議名稱 立法院第11屆第2會期社會福利及衛生環境委員會第18次全體委員會議(事由:繼續審查中華民國114年度中央政府總預算案附屬單位預算關於衛生福利部主管預算。 【1月15日及16日二天一次會】)
委員名稱 完整會議
委員發言時間 08:30:35 - 12:26:00
transcript.pyannote[0].speaker SPEAKER_04
transcript.pyannote[0].start 1844.73846875
transcript.pyannote[0].end 1845.16034375
transcript.pyannote[1].speaker SPEAKER_04
transcript.pyannote[1].start 1847.05034375
transcript.pyannote[1].end 1848.97409375
transcript.pyannote[2].speaker SPEAKER_04
transcript.pyannote[2].start 1851.55596875
transcript.pyannote[2].end 1859.20034375
transcript.pyannote[3].speaker SPEAKER_10
transcript.pyannote[3].start 1859.53784375
transcript.pyannote[3].end 1900.54409375
transcript.pyannote[4].speaker SPEAKER_10
transcript.pyannote[4].start 1900.83096875
transcript.pyannote[4].end 1938.20909375
transcript.pyannote[5].speaker SPEAKER_04
transcript.pyannote[5].start 1942.27596875
transcript.pyannote[5].end 1946.20784375
transcript.pyannote[6].speaker SPEAKER_04
transcript.pyannote[6].start 1947.50721875
transcript.pyannote[6].end 1957.58159375
transcript.pyannote[7].speaker SPEAKER_04
transcript.pyannote[7].start 1958.40846875
transcript.pyannote[7].end 1962.28971875
transcript.pyannote[8].speaker SPEAKER_04
transcript.pyannote[8].start 1962.94784375
transcript.pyannote[8].end 1968.24659375
transcript.pyannote[9].speaker SPEAKER_04
transcript.pyannote[9].start 1971.62159375
transcript.pyannote[9].end 1972.90409375
transcript.pyannote[10].speaker SPEAKER_04
transcript.pyannote[10].start 1976.31284375
transcript.pyannote[10].end 1980.80159375
transcript.pyannote[11].speaker SPEAKER_04
transcript.pyannote[11].start 1983.60284375
transcript.pyannote[11].end 1986.16784375
transcript.pyannote[12].speaker SPEAKER_04
transcript.pyannote[12].start 1988.73284375
transcript.pyannote[12].end 1991.06159375
transcript.pyannote[13].speaker SPEAKER_04
transcript.pyannote[13].start 1991.83784375
transcript.pyannote[13].end 1992.93471875
transcript.pyannote[14].speaker SPEAKER_04
transcript.pyannote[14].start 1993.45784375
transcript.pyannote[14].end 1995.88784375
transcript.pyannote[15].speaker SPEAKER_04
transcript.pyannote[15].start 1997.33909375
transcript.pyannote[15].end 1997.79471875
transcript.pyannote[16].speaker SPEAKER_04
transcript.pyannote[16].start 1998.45284375
transcript.pyannote[16].end 2000.24159375
transcript.pyannote[17].speaker SPEAKER_04
transcript.pyannote[17].start 2002.65471875
transcript.pyannote[17].end 2005.15221875
transcript.pyannote[18].speaker SPEAKER_04
transcript.pyannote[18].start 2006.40096875
transcript.pyannote[18].end 2007.10971875
transcript.pyannote[19].speaker SPEAKER_04
transcript.pyannote[19].start 2007.49784375
transcript.pyannote[19].end 2010.53534375
transcript.pyannote[20].speaker SPEAKER_04
transcript.pyannote[20].start 2012.77971875
transcript.pyannote[20].end 2015.34471875
transcript.pyannote[21].speaker SPEAKER_04
transcript.pyannote[21].start 2017.40346875
transcript.pyannote[21].end 2020.40721875
transcript.pyannote[22].speaker SPEAKER_04
transcript.pyannote[22].start 2021.58846875
transcript.pyannote[22].end 2021.92596875
transcript.pyannote[23].speaker SPEAKER_04
transcript.pyannote[23].start 2022.95534375
transcript.pyannote[23].end 2027.46096875
transcript.pyannote[24].speaker SPEAKER_04
transcript.pyannote[24].start 2028.30471875
transcript.pyannote[24].end 2029.09784375
transcript.pyannote[25].speaker SPEAKER_04
transcript.pyannote[25].start 2029.97534375
transcript.pyannote[25].end 2032.05096875
transcript.pyannote[26].speaker SPEAKER_04
transcript.pyannote[26].start 2034.53159375
transcript.pyannote[26].end 2036.74221875
transcript.pyannote[27].speaker SPEAKER_04
transcript.pyannote[27].start 2037.29909375
transcript.pyannote[27].end 2038.44659375
transcript.pyannote[28].speaker SPEAKER_04
transcript.pyannote[28].start 2038.69971875
transcript.pyannote[28].end 2041.18034375
transcript.pyannote[29].speaker SPEAKER_04
transcript.pyannote[29].start 2042.39534375
transcript.pyannote[29].end 2043.23909375
transcript.pyannote[30].speaker SPEAKER_04
transcript.pyannote[30].start 2044.74096875
transcript.pyannote[30].end 2047.32284375
transcript.pyannote[31].speaker SPEAKER_04
transcript.pyannote[31].start 2049.06096875
transcript.pyannote[31].end 2052.52034375
transcript.pyannote[32].speaker SPEAKER_04
transcript.pyannote[32].start 2053.22909375
transcript.pyannote[32].end 2053.65096875
transcript.pyannote[33].speaker SPEAKER_04
transcript.pyannote[33].start 2054.78159375
transcript.pyannote[33].end 2058.91596875
transcript.pyannote[34].speaker SPEAKER_04
transcript.pyannote[34].start 2059.70909375
transcript.pyannote[34].end 2060.46846875
transcript.pyannote[35].speaker SPEAKER_04
transcript.pyannote[35].start 2061.71721875
transcript.pyannote[35].end 2065.12596875
transcript.pyannote[36].speaker SPEAKER_04
transcript.pyannote[36].start 2066.00346875
transcript.pyannote[36].end 2070.69471875
transcript.pyannote[37].speaker SPEAKER_04
transcript.pyannote[37].start 2071.03221875
transcript.pyannote[37].end 2072.33159375
transcript.pyannote[38].speaker SPEAKER_04
transcript.pyannote[38].start 2074.15409375
transcript.pyannote[38].end 2074.66034375
transcript.pyannote[39].speaker SPEAKER_04
transcript.pyannote[39].start 2080.14471875
transcript.pyannote[39].end 2086.00034375
transcript.pyannote[40].speaker SPEAKER_04
transcript.pyannote[40].start 2089.02096875
transcript.pyannote[40].end 2091.48471875
transcript.pyannote[41].speaker SPEAKER_04
transcript.pyannote[41].start 2091.58596875
transcript.pyannote[41].end 2099.80409375
transcript.pyannote[42].speaker SPEAKER_04
transcript.pyannote[42].start 2099.93909375
transcript.pyannote[42].end 2100.54659375
transcript.pyannote[43].speaker SPEAKER_04
transcript.pyannote[43].start 2102.38596875
transcript.pyannote[43].end 2112.62909375
transcript.pyannote[44].speaker SPEAKER_04
transcript.pyannote[44].start 2115.91971875
transcript.pyannote[44].end 2117.18534375
transcript.pyannote[45].speaker SPEAKER_04
transcript.pyannote[45].start 2117.62409375
transcript.pyannote[45].end 2128.05284375
transcript.pyannote[46].speaker SPEAKER_04
transcript.pyannote[46].start 2128.23846875
transcript.pyannote[46].end 2148.37034375
transcript.pyannote[47].speaker SPEAKER_04
transcript.pyannote[47].start 2149.50096875
transcript.pyannote[47].end 2153.82096875
transcript.pyannote[48].speaker SPEAKER_04
transcript.pyannote[48].start 2154.69846875
transcript.pyannote[48].end 2157.16221875
transcript.pyannote[49].speaker SPEAKER_04
transcript.pyannote[49].start 2157.82034375
transcript.pyannote[49].end 2176.53471875
transcript.pyannote[50].speaker SPEAKER_04
transcript.pyannote[50].start 2177.19284375
transcript.pyannote[50].end 2177.58096875
transcript.pyannote[51].speaker SPEAKER_04
transcript.pyannote[51].start 2177.86784375
transcript.pyannote[51].end 2195.67096875
transcript.pyannote[52].speaker SPEAKER_04
transcript.pyannote[52].start 2196.27846875
transcript.pyannote[52].end 2206.31909375
transcript.pyannote[53].speaker SPEAKER_10
transcript.pyannote[53].start 2208.24284375
transcript.pyannote[53].end 2278.49346875
transcript.pyannote[54].speaker SPEAKER_10
transcript.pyannote[54].start 2279.03346875
transcript.pyannote[54].end 2349.30096875
transcript.pyannote[55].speaker SPEAKER_10
transcript.pyannote[55].start 2349.38534375
transcript.pyannote[55].end 2354.93721875
transcript.pyannote[56].speaker SPEAKER_10
transcript.pyannote[56].start 2355.10596875
transcript.pyannote[56].end 2392.11284375
transcript.pyannote[57].speaker SPEAKER_10
transcript.pyannote[57].start 2392.34909375
transcript.pyannote[57].end 2403.60471875
transcript.pyannote[58].speaker SPEAKER_10
transcript.pyannote[58].start 2403.73971875
transcript.pyannote[58].end 2407.55346875
transcript.pyannote[59].speaker SPEAKER_10
transcript.pyannote[59].start 2407.72221875
transcript.pyannote[59].end 2429.40659375
transcript.pyannote[60].speaker SPEAKER_10
transcript.pyannote[60].start 2429.76096875
transcript.pyannote[60].end 2457.18284375
transcript.pyannote[61].speaker SPEAKER_10
transcript.pyannote[61].start 2457.57096875
transcript.pyannote[61].end 2463.12284375
transcript.pyannote[62].speaker SPEAKER_10
transcript.pyannote[62].start 2463.30846875
transcript.pyannote[62].end 2481.97221875
transcript.pyannote[63].speaker SPEAKER_10
transcript.pyannote[63].start 2483.17034375
transcript.pyannote[63].end 2501.91846875
transcript.pyannote[64].speaker SPEAKER_10
transcript.pyannote[64].start 2501.96909375
transcript.pyannote[64].end 2522.28659375
transcript.pyannote[65].speaker SPEAKER_10
transcript.pyannote[65].start 2522.47221875
transcript.pyannote[65].end 2538.26721875
transcript.pyannote[66].speaker SPEAKER_10
transcript.pyannote[66].start 2538.50346875
transcript.pyannote[66].end 2555.36159375
transcript.pyannote[67].speaker SPEAKER_10
transcript.pyannote[67].start 2555.81721875
transcript.pyannote[67].end 2572.82721875
transcript.pyannote[68].speaker SPEAKER_10
transcript.pyannote[68].start 2573.01284375
transcript.pyannote[68].end 2574.91971875
transcript.pyannote[69].speaker SPEAKER_10
transcript.pyannote[69].start 2575.12221875
transcript.pyannote[69].end 2597.85284375
transcript.pyannote[70].speaker SPEAKER_10
transcript.pyannote[70].start 2598.00471875
transcript.pyannote[70].end 2607.96096875
transcript.pyannote[71].speaker SPEAKER_10
transcript.pyannote[71].start 2608.02846875
transcript.pyannote[71].end 2617.98471875
transcript.pyannote[72].speaker SPEAKER_10
transcript.pyannote[72].start 2618.23784375
transcript.pyannote[72].end 2623.13159375
transcript.pyannote[73].speaker SPEAKER_10
transcript.pyannote[73].start 2623.48596875
transcript.pyannote[73].end 2638.80846875
transcript.pyannote[74].speaker SPEAKER_10
transcript.pyannote[74].start 2639.75346875
transcript.pyannote[74].end 2658.26534375
transcript.pyannote[75].speaker SPEAKER_10
transcript.pyannote[75].start 2658.50159375
transcript.pyannote[75].end 2708.63721875
transcript.pyannote[76].speaker SPEAKER_10
transcript.pyannote[76].start 2708.89034375
transcript.pyannote[76].end 2783.37659375
transcript.pyannote[77].speaker SPEAKER_10
transcript.pyannote[77].start 2784.15284375
transcript.pyannote[77].end 2791.18971875
transcript.pyannote[78].speaker SPEAKER_10
transcript.pyannote[78].start 2792.28659375
transcript.pyannote[78].end 2840.21159375
transcript.pyannote[79].speaker SPEAKER_10
transcript.pyannote[79].start 2840.29596875
transcript.pyannote[79].end 2845.74659375
transcript.pyannote[80].speaker SPEAKER_04
transcript.pyannote[80].start 2853.69471875
transcript.pyannote[80].end 2856.52971875
transcript.pyannote[81].speaker SPEAKER_04
transcript.pyannote[81].start 2858.70659375
transcript.pyannote[81].end 2863.33034375
transcript.pyannote[82].speaker SPEAKER_04
transcript.pyannote[82].start 2863.70159375
transcript.pyannote[82].end 2867.76846875
transcript.pyannote[83].speaker SPEAKER_04
transcript.pyannote[83].start 2868.30846875
transcript.pyannote[83].end 2869.32096875
transcript.pyannote[84].speaker SPEAKER_04
transcript.pyannote[84].start 2869.65846875
transcript.pyannote[84].end 2871.68346875
transcript.pyannote[85].speaker SPEAKER_04
transcript.pyannote[85].start 2872.12221875
transcript.pyannote[85].end 2873.64096875
transcript.pyannote[86].speaker SPEAKER_04
transcript.pyannote[86].start 2874.04596875
transcript.pyannote[86].end 2876.32409375
transcript.pyannote[87].speaker SPEAKER_04
transcript.pyannote[87].start 2877.57284375
transcript.pyannote[87].end 2878.60221875
transcript.pyannote[88].speaker SPEAKER_04
transcript.pyannote[88].start 2880.82971875
transcript.pyannote[88].end 2882.41596875
transcript.pyannote[89].speaker SPEAKER_04
transcript.pyannote[89].start 2882.95596875
transcript.pyannote[89].end 2884.39034375
transcript.pyannote[90].speaker SPEAKER_04
transcript.pyannote[90].start 2884.66034375
transcript.pyannote[90].end 2885.36909375
transcript.pyannote[91].speaker SPEAKER_04
transcript.pyannote[91].start 2885.79096875
transcript.pyannote[91].end 2887.05659375
transcript.pyannote[92].speaker SPEAKER_04
transcript.pyannote[92].start 2888.05221875
transcript.pyannote[92].end 2889.73971875
transcript.pyannote[93].speaker SPEAKER_04
transcript.pyannote[93].start 2890.71846875
transcript.pyannote[93].end 2891.51159375
transcript.pyannote[94].speaker SPEAKER_04
transcript.pyannote[94].start 2891.83221875
transcript.pyannote[94].end 2898.46409375
transcript.pyannote[95].speaker SPEAKER_16
transcript.pyannote[95].start 2903.22284375
transcript.pyannote[95].end 2903.47596875
transcript.pyannote[96].speaker SPEAKER_16
transcript.pyannote[96].start 2905.78784375
transcript.pyannote[96].end 2906.26034375
transcript.pyannote[97].speaker SPEAKER_16
transcript.pyannote[97].start 2907.32346875
transcript.pyannote[97].end 2911.59284375
transcript.pyannote[98].speaker SPEAKER_16
transcript.pyannote[98].start 2912.14971875
transcript.pyannote[98].end 2928.24846875
transcript.pyannote[99].speaker SPEAKER_16
transcript.pyannote[99].start 2928.83909375
transcript.pyannote[99].end 2933.78346875
transcript.pyannote[100].speaker SPEAKER_04
transcript.pyannote[100].start 2935.20096875
transcript.pyannote[100].end 2937.14159375
transcript.pyannote[101].speaker SPEAKER_16
transcript.pyannote[101].start 2937.04034375
transcript.pyannote[101].end 2938.05284375
transcript.pyannote[102].speaker SPEAKER_16
transcript.pyannote[102].start 2938.35659375
transcript.pyannote[102].end 2938.81221875
transcript.pyannote[103].speaker SPEAKER_16
transcript.pyannote[103].start 2939.31846875
transcript.pyannote[103].end 2959.34909375
transcript.pyannote[104].speaker SPEAKER_04
transcript.pyannote[104].start 2959.34909375
transcript.pyannote[104].end 2959.38284375
transcript.pyannote[105].speaker SPEAKER_04
transcript.pyannote[105].start 2960.05784375
transcript.pyannote[105].end 2961.32346875
transcript.pyannote[106].speaker SPEAKER_04
transcript.pyannote[106].start 2961.50909375
transcript.pyannote[106].end 2963.73659375
transcript.pyannote[107].speaker SPEAKER_04
transcript.pyannote[107].start 2964.73221875
transcript.pyannote[107].end 2968.93409375
transcript.pyannote[108].speaker SPEAKER_04
transcript.pyannote[108].start 2970.90846875
transcript.pyannote[108].end 2971.27971875
transcript.pyannote[109].speaker SPEAKER_04
transcript.pyannote[109].start 2971.97159375
transcript.pyannote[109].end 2974.06409375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 2973.45659375
transcript.pyannote[110].end 2973.50721875
transcript.pyannote[111].speaker SPEAKER_16
transcript.pyannote[111].start 2973.50721875
transcript.pyannote[111].end 2973.60846875
transcript.pyannote[112].speaker SPEAKER_04
transcript.pyannote[112].start 2975.22846875
transcript.pyannote[112].end 2975.97096875
transcript.pyannote[113].speaker SPEAKER_16
transcript.pyannote[113].start 2975.97096875
transcript.pyannote[113].end 2976.42659375
transcript.pyannote[114].speaker SPEAKER_04
transcript.pyannote[114].start 2976.42659375
transcript.pyannote[114].end 2976.47721875
transcript.pyannote[115].speaker SPEAKER_16
transcript.pyannote[115].start 2977.37159375
transcript.pyannote[115].end 2997.40221875
transcript.pyannote[116].speaker SPEAKER_16
transcript.pyannote[116].start 2998.16159375
transcript.pyannote[116].end 2999.25846875
transcript.pyannote[117].speaker SPEAKER_16
transcript.pyannote[117].start 2999.29221875
transcript.pyannote[117].end 3021.26346875
transcript.pyannote[118].speaker SPEAKER_04
transcript.pyannote[118].start 3022.17471875
transcript.pyannote[118].end 3024.67221875
transcript.pyannote[119].speaker SPEAKER_04
transcript.pyannote[119].start 3024.97596875
transcript.pyannote[119].end 3029.88659375
transcript.pyannote[120].speaker SPEAKER_17
transcript.pyannote[120].start 3029.88659375
transcript.pyannote[120].end 3029.92034375
transcript.pyannote[121].speaker SPEAKER_04
transcript.pyannote[121].start 3029.92034375
transcript.pyannote[121].end 3029.97096875
transcript.pyannote[122].speaker SPEAKER_17
transcript.pyannote[122].start 3029.97096875
transcript.pyannote[122].end 3030.89909375
transcript.pyannote[123].speaker SPEAKER_04
transcript.pyannote[123].start 3030.89909375
transcript.pyannote[123].end 3030.96659375
transcript.pyannote[124].speaker SPEAKER_04
transcript.pyannote[124].start 3031.67534375
transcript.pyannote[124].end 3031.96221875
transcript.pyannote[125].speaker SPEAKER_16
transcript.pyannote[125].start 3031.96221875
transcript.pyannote[125].end 3032.67096875
transcript.pyannote[126].speaker SPEAKER_04
transcript.pyannote[126].start 3032.67096875
transcript.pyannote[126].end 3032.73846875
transcript.pyannote[127].speaker SPEAKER_04
transcript.pyannote[127].start 3033.31221875
transcript.pyannote[127].end 3033.32909375
transcript.pyannote[128].speaker SPEAKER_16
transcript.pyannote[128].start 3033.32909375
transcript.pyannote[128].end 3042.27284375
transcript.pyannote[129].speaker SPEAKER_04
transcript.pyannote[129].start 3042.64409375
transcript.pyannote[129].end 3042.89721875
transcript.pyannote[130].speaker SPEAKER_04
transcript.pyannote[130].start 3044.12909375
transcript.pyannote[130].end 3045.71534375
transcript.pyannote[131].speaker SPEAKER_04
transcript.pyannote[131].start 3046.35659375
transcript.pyannote[131].end 3048.82034375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 3049.59659375
transcript.pyannote[132].end 3050.17034375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 3051.01409375
transcript.pyannote[133].end 3061.35846875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 3063.23159375
transcript.pyannote[134].end 3063.51846875
transcript.pyannote[135].speaker SPEAKER_07
transcript.pyannote[135].start 3064.00784375
transcript.pyannote[135].end 3064.02471875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 3064.02471875
transcript.pyannote[136].end 3064.63221875
transcript.pyannote[137].speaker SPEAKER_04
transcript.pyannote[137].start 3065.88096875
transcript.pyannote[137].end 3065.89784375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 3065.89784375
transcript.pyannote[138].end 3069.55971875
transcript.pyannote[139].speaker SPEAKER_04
transcript.pyannote[139].start 3067.12971875
transcript.pyannote[139].end 3068.85096875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 3076.25909375
transcript.pyannote[140].end 3085.50659375
transcript.pyannote[141].speaker SPEAKER_04
transcript.pyannote[141].start 3086.43471875
transcript.pyannote[141].end 3090.18096875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 3090.18096875
transcript.pyannote[142].end 3092.12159375
transcript.pyannote[143].speaker SPEAKER_04
transcript.pyannote[143].start 3090.23159375
transcript.pyannote[143].end 3090.24846875
transcript.pyannote[144].speaker SPEAKER_04
transcript.pyannote[144].start 3090.31596875
transcript.pyannote[144].end 3091.96971875
transcript.pyannote[145].speaker SPEAKER_04
transcript.pyannote[145].start 3092.30721875
transcript.pyannote[145].end 3092.64471875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 3093.08346875
transcript.pyannote[146].end 3100.25534375
transcript.pyannote[147].speaker SPEAKER_04
transcript.pyannote[147].start 3100.72784375
transcript.pyannote[147].end 3101.09909375
transcript.pyannote[148].speaker SPEAKER_04
transcript.pyannote[148].start 3101.85846875
transcript.pyannote[148].end 3105.35159375
transcript.pyannote[149].speaker SPEAKER_04
transcript.pyannote[149].start 3105.87471875
transcript.pyannote[149].end 3105.90846875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 3105.90846875
transcript.pyannote[150].end 3113.87346875
transcript.pyannote[151].speaker SPEAKER_04
transcript.pyannote[151].start 3114.49784375
transcript.pyannote[151].end 3114.90284375
transcript.pyannote[152].speaker SPEAKER_04
transcript.pyannote[152].start 3115.89846875
transcript.pyannote[152].end 3119.35784375
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 3119.37471875
transcript.pyannote[153].end 3125.24721875
transcript.pyannote[154].speaker SPEAKER_04
transcript.pyannote[154].start 3125.41596875
transcript.pyannote[154].end 3125.80409375
transcript.pyannote[155].speaker SPEAKER_04
transcript.pyannote[155].start 3127.18784375
transcript.pyannote[155].end 3130.59659375
transcript.pyannote[156].speaker SPEAKER_25
transcript.pyannote[156].start 3130.59659375
transcript.pyannote[156].end 3130.63034375
transcript.pyannote[157].speaker SPEAKER_04
transcript.pyannote[157].start 3134.56221875
transcript.pyannote[157].end 3134.57909375
transcript.pyannote[158].speaker SPEAKER_25
transcript.pyannote[158].start 3134.57909375
transcript.pyannote[158].end 3139.00034375
transcript.pyannote[159].speaker SPEAKER_25
transcript.pyannote[159].start 3139.96221875
transcript.pyannote[159].end 3141.58221875
transcript.pyannote[160].speaker SPEAKER_25
transcript.pyannote[160].start 3142.29096875
transcript.pyannote[160].end 3150.20534375
transcript.pyannote[161].speaker SPEAKER_04
transcript.pyannote[161].start 3153.41159375
transcript.pyannote[161].end 3159.99284375
transcript.pyannote[162].speaker SPEAKER_25
transcript.pyannote[162].start 3154.89659375
transcript.pyannote[162].end 3155.52096875
transcript.pyannote[163].speaker SPEAKER_25
transcript.pyannote[163].start 3156.63471875
transcript.pyannote[163].end 3157.05659375
transcript.pyannote[164].speaker SPEAKER_18
transcript.pyannote[164].start 3157.36034375
transcript.pyannote[164].end 3157.37721875
transcript.pyannote[165].speaker SPEAKER_25
transcript.pyannote[165].start 3159.03096875
transcript.pyannote[165].end 3159.58784375
transcript.pyannote[166].speaker SPEAKER_25
transcript.pyannote[166].start 3159.99284375
transcript.pyannote[166].end 3160.00971875
transcript.pyannote[167].speaker SPEAKER_04
transcript.pyannote[167].start 3160.00971875
transcript.pyannote[167].end 3160.02659375
transcript.pyannote[168].speaker SPEAKER_25
transcript.pyannote[168].start 3160.02659375
transcript.pyannote[168].end 3165.64596875
transcript.pyannote[169].speaker SPEAKER_25
transcript.pyannote[169].start 3166.18596875
transcript.pyannote[169].end 3167.01284375
transcript.pyannote[170].speaker SPEAKER_25
transcript.pyannote[170].start 3167.63721875
transcript.pyannote[170].end 3171.13034375
transcript.pyannote[171].speaker SPEAKER_25
transcript.pyannote[171].start 3171.21471875
transcript.pyannote[171].end 3180.64784375
transcript.pyannote[172].speaker SPEAKER_04
transcript.pyannote[172].start 3182.92596875
transcript.pyannote[172].end 3185.96346875
transcript.pyannote[173].speaker SPEAKER_04
transcript.pyannote[173].start 3189.05159375
transcript.pyannote[173].end 3190.57034375
transcript.pyannote[174].speaker SPEAKER_20
transcript.pyannote[174].start 3206.43284375
transcript.pyannote[174].end 3215.74784375
transcript.pyannote[175].speaker SPEAKER_20
transcript.pyannote[175].start 3215.93346875
transcript.pyannote[175].end 3217.99221875
transcript.pyannote[176].speaker SPEAKER_04
transcript.pyannote[176].start 3218.75159375
transcript.pyannote[176].end 3221.11409375
transcript.pyannote[177].speaker SPEAKER_20
transcript.pyannote[177].start 3221.85659375
transcript.pyannote[177].end 3222.44721875
transcript.pyannote[178].speaker SPEAKER_04
transcript.pyannote[178].start 3223.49346875
transcript.pyannote[178].end 3224.40471875
transcript.pyannote[179].speaker SPEAKER_20
transcript.pyannote[179].start 3224.86034375
transcript.pyannote[179].end 3227.79659375
transcript.pyannote[180].speaker SPEAKER_04
transcript.pyannote[180].start 3226.68284375
transcript.pyannote[180].end 3232.28534375
transcript.pyannote[181].speaker SPEAKER_20
transcript.pyannote[181].start 3228.60659375
transcript.pyannote[181].end 3228.91034375
transcript.pyannote[182].speaker SPEAKER_23
transcript.pyannote[182].start 3232.77471875
transcript.pyannote[182].end 3234.02346875
transcript.pyannote[183].speaker SPEAKER_04
transcript.pyannote[183].start 3232.96034375
transcript.pyannote[183].end 3232.97721875
transcript.pyannote[184].speaker SPEAKER_04
transcript.pyannote[184].start 3233.41596875
transcript.pyannote[184].end 3234.24284375
transcript.pyannote[185].speaker SPEAKER_23
transcript.pyannote[185].start 3234.24284375
transcript.pyannote[185].end 3234.25971875
transcript.pyannote[186].speaker SPEAKER_04
transcript.pyannote[186].start 3234.25971875
transcript.pyannote[186].end 3234.27659375
transcript.pyannote[187].speaker SPEAKER_23
transcript.pyannote[187].start 3234.27659375
transcript.pyannote[187].end 3234.71534375
transcript.pyannote[188].speaker SPEAKER_23
transcript.pyannote[188].start 3236.28471875
transcript.pyannote[188].end 3263.97659375
transcript.pyannote[189].speaker SPEAKER_23
transcript.pyannote[189].start 3264.61784375
transcript.pyannote[189].end 3279.70409375
transcript.pyannote[190].speaker SPEAKER_04
transcript.pyannote[190].start 3277.62846875
transcript.pyannote[190].end 3278.38784375
transcript.pyannote[191].speaker SPEAKER_04
transcript.pyannote[191].start 3279.13034375
transcript.pyannote[191].end 3284.07471875
transcript.pyannote[192].speaker SPEAKER_23
transcript.pyannote[192].start 3284.73284375
transcript.pyannote[192].end 3292.96784375
transcript.pyannote[193].speaker SPEAKER_04
transcript.pyannote[193].start 3291.98909375
transcript.pyannote[193].end 3292.68096875
transcript.pyannote[194].speaker SPEAKER_04
transcript.pyannote[194].start 3292.96784375
transcript.pyannote[194].end 3293.81159375
transcript.pyannote[195].speaker SPEAKER_23
transcript.pyannote[195].start 3293.81159375
transcript.pyannote[195].end 3293.86221875
transcript.pyannote[196].speaker SPEAKER_04
transcript.pyannote[196].start 3294.45284375
transcript.pyannote[196].end 3297.52409375
transcript.pyannote[197].speaker SPEAKER_04
transcript.pyannote[197].start 3297.60846875
transcript.pyannote[197].end 3299.02596875
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 3302.26596875
transcript.pyannote[198].end 3302.29971875
transcript.pyannote[199].speaker SPEAKER_04
transcript.pyannote[199].start 3302.29971875
transcript.pyannote[199].end 3306.02909375
transcript.pyannote[200].speaker SPEAKER_04
transcript.pyannote[200].start 3307.21034375
transcript.pyannote[200].end 3310.51784375
transcript.pyannote[201].speaker SPEAKER_23
transcript.pyannote[201].start 3310.51784375
transcript.pyannote[201].end 3313.35284375
transcript.pyannote[202].speaker SPEAKER_04
transcript.pyannote[202].start 3312.69471875
transcript.pyannote[202].end 3314.09534375
transcript.pyannote[203].speaker SPEAKER_23
transcript.pyannote[203].start 3314.09534375
transcript.pyannote[203].end 3314.14596875
transcript.pyannote[204].speaker SPEAKER_04
transcript.pyannote[204].start 3314.14596875
transcript.pyannote[204].end 3314.23034375
transcript.pyannote[205].speaker SPEAKER_23
transcript.pyannote[205].start 3314.23034375
transcript.pyannote[205].end 3314.65221875
transcript.pyannote[206].speaker SPEAKER_04
transcript.pyannote[206].start 3314.51721875
transcript.pyannote[206].end 3317.65596875
transcript.pyannote[207].speaker SPEAKER_23
transcript.pyannote[207].start 3315.68159375
transcript.pyannote[207].end 3319.20846875
transcript.pyannote[208].speaker SPEAKER_04
transcript.pyannote[208].start 3320.00159375
transcript.pyannote[208].end 3321.30096875
transcript.pyannote[209].speaker SPEAKER_04
transcript.pyannote[209].start 3322.09409375
transcript.pyannote[209].end 3323.03909375
transcript.pyannote[210].speaker SPEAKER_23
transcript.pyannote[210].start 3323.79846875
transcript.pyannote[210].end 3324.94596875
transcript.pyannote[211].speaker SPEAKER_04
transcript.pyannote[211].start 3323.84909375
transcript.pyannote[211].end 3329.01284375
transcript.pyannote[212].speaker SPEAKER_17
transcript.pyannote[212].start 3324.94596875
transcript.pyannote[212].end 3324.97971875
transcript.pyannote[213].speaker SPEAKER_04
transcript.pyannote[213].start 3329.41784375
transcript.pyannote[213].end 3332.25284375
transcript.pyannote[214].speaker SPEAKER_04
transcript.pyannote[214].start 3332.48909375
transcript.pyannote[214].end 3333.21471875
transcript.pyannote[215].speaker SPEAKER_23
transcript.pyannote[215].start 3332.96159375
transcript.pyannote[215].end 3335.42534375
transcript.pyannote[216].speaker SPEAKER_04
transcript.pyannote[216].start 3334.04159375
transcript.pyannote[216].end 3335.83034375
transcript.pyannote[217].speaker SPEAKER_23
transcript.pyannote[217].start 3337.85534375
transcript.pyannote[217].end 3360.73784375
transcript.pyannote[218].speaker SPEAKER_04
transcript.pyannote[218].start 3339.32346875
transcript.pyannote[218].end 3340.36971875
transcript.pyannote[219].speaker SPEAKER_23
transcript.pyannote[219].start 3364.01159375
transcript.pyannote[219].end 3364.73721875
transcript.pyannote[220].speaker SPEAKER_04
transcript.pyannote[220].start 3364.34909375
transcript.pyannote[220].end 3364.36596875
transcript.pyannote[221].speaker SPEAKER_08
transcript.pyannote[221].start 3364.36596875
transcript.pyannote[221].end 3364.83846875
transcript.pyannote[222].speaker SPEAKER_04
transcript.pyannote[222].start 3364.73721875
transcript.pyannote[222].end 3364.75409375
transcript.pyannote[223].speaker SPEAKER_08
transcript.pyannote[223].start 3364.99034375
transcript.pyannote[223].end 3382.75971875
transcript.pyannote[224].speaker SPEAKER_08
transcript.pyannote[224].start 3382.87784375
transcript.pyannote[224].end 3407.73471875
transcript.pyannote[225].speaker SPEAKER_04
transcript.pyannote[225].start 3410.55284375
transcript.pyannote[225].end 3414.04596875
transcript.pyannote[226].speaker SPEAKER_23
transcript.pyannote[226].start 3414.04596875
transcript.pyannote[226].end 3418.23096875
transcript.pyannote[227].speaker SPEAKER_04
transcript.pyannote[227].start 3418.23096875
transcript.pyannote[227].end 3420.13784375
transcript.pyannote[228].speaker SPEAKER_23
transcript.pyannote[228].start 3419.09159375
transcript.pyannote[228].end 3420.18846875
transcript.pyannote[229].speaker SPEAKER_04
transcript.pyannote[229].start 3420.18846875
transcript.pyannote[229].end 3420.45846875
transcript.pyannote[230].speaker SPEAKER_04
transcript.pyannote[230].start 3424.03596875
transcript.pyannote[230].end 3426.14534375
transcript.pyannote[231].speaker SPEAKER_20
transcript.pyannote[231].start 3432.38909375
transcript.pyannote[231].end 3444.48846875
transcript.pyannote[232].speaker SPEAKER_20
transcript.pyannote[232].start 3445.87221875
transcript.pyannote[232].end 3448.25159375
transcript.pyannote[233].speaker SPEAKER_20
transcript.pyannote[233].start 3448.87596875
transcript.pyannote[233].end 3452.36909375
transcript.pyannote[234].speaker SPEAKER_20
transcript.pyannote[234].start 3453.49971875
transcript.pyannote[234].end 3463.15221875
transcript.pyannote[235].speaker SPEAKER_20
transcript.pyannote[235].start 3463.30409375
transcript.pyannote[235].end 3463.59096875
transcript.pyannote[236].speaker SPEAKER_04
transcript.pyannote[236].start 3463.72596875
transcript.pyannote[236].end 3464.06346875
transcript.pyannote[237].speaker SPEAKER_04
transcript.pyannote[237].start 3465.24471875
transcript.pyannote[237].end 3465.68346875
transcript.pyannote[238].speaker SPEAKER_04
transcript.pyannote[238].start 3466.42596875
transcript.pyannote[238].end 3467.18534375
transcript.pyannote[239].speaker SPEAKER_04
transcript.pyannote[239].start 3468.21471875
transcript.pyannote[239].end 3471.01596875
transcript.pyannote[240].speaker SPEAKER_25
transcript.pyannote[240].start 3471.01596875
transcript.pyannote[240].end 3471.92721875
transcript.pyannote[241].speaker SPEAKER_25
transcript.pyannote[241].start 3471.97784375
transcript.pyannote[241].end 3480.80346875
transcript.pyannote[242].speaker SPEAKER_25
transcript.pyannote[242].start 3482.79471875
transcript.pyannote[242].end 3483.03096875
transcript.pyannote[243].speaker SPEAKER_04
transcript.pyannote[243].start 3483.03096875
transcript.pyannote[243].end 3483.58784375
transcript.pyannote[244].speaker SPEAKER_25
transcript.pyannote[244].start 3484.49909375
transcript.pyannote[244].end 3484.83659375
transcript.pyannote[245].speaker SPEAKER_04
transcript.pyannote[245].start 3485.52846875
transcript.pyannote[245].end 3486.43971875
transcript.pyannote[246].speaker SPEAKER_25
transcript.pyannote[246].start 3485.84909375
transcript.pyannote[246].end 3487.63784375
transcript.pyannote[247].speaker SPEAKER_04
transcript.pyannote[247].start 3487.63784375
transcript.pyannote[247].end 3488.75159375
transcript.pyannote[248].speaker SPEAKER_04
transcript.pyannote[248].start 3488.97096875
transcript.pyannote[248].end 3489.03846875
transcript.pyannote[249].speaker SPEAKER_04
transcript.pyannote[249].start 3489.42659375
transcript.pyannote[249].end 3491.02971875
transcript.pyannote[250].speaker SPEAKER_25
transcript.pyannote[250].start 3491.02971875
transcript.pyannote[250].end 3492.16034375
transcript.pyannote[251].speaker SPEAKER_04
transcript.pyannote[251].start 3493.40909375
transcript.pyannote[251].end 3493.44284375
transcript.pyannote[252].speaker SPEAKER_25
transcript.pyannote[252].start 3493.44284375
transcript.pyannote[252].end 3493.79721875
transcript.pyannote[253].speaker SPEAKER_04
transcript.pyannote[253].start 3493.79721875
transcript.pyannote[253].end 3493.96596875
transcript.pyannote[254].speaker SPEAKER_25
transcript.pyannote[254].start 3493.96596875
transcript.pyannote[254].end 3494.11784375
transcript.pyannote[255].speaker SPEAKER_04
transcript.pyannote[255].start 3494.11784375
transcript.pyannote[255].end 3494.42159375
transcript.pyannote[256].speaker SPEAKER_25
transcript.pyannote[256].start 3494.42159375
transcript.pyannote[256].end 3494.43846875
transcript.pyannote[257].speaker SPEAKER_25
transcript.pyannote[257].start 3494.48909375
transcript.pyannote[257].end 3494.69159375
transcript.pyannote[258].speaker SPEAKER_17
transcript.pyannote[258].start 3494.69159375
transcript.pyannote[258].end 3494.74221875
transcript.pyannote[259].speaker SPEAKER_25
transcript.pyannote[259].start 3494.74221875
transcript.pyannote[259].end 3500.09159375
transcript.pyannote[260].speaker SPEAKER_04
transcript.pyannote[260].start 3500.09159375
transcript.pyannote[260].end 3502.55534375
transcript.pyannote[261].speaker SPEAKER_04
transcript.pyannote[261].start 3503.11221875
transcript.pyannote[261].end 3503.71971875
transcript.pyannote[262].speaker SPEAKER_05
transcript.pyannote[262].start 3503.92221875
transcript.pyannote[262].end 3509.94659375
transcript.pyannote[263].speaker SPEAKER_05
transcript.pyannote[263].start 3510.94221875
transcript.pyannote[263].end 3512.30909375
transcript.pyannote[264].speaker SPEAKER_02
transcript.pyannote[264].start 3513.00096875
transcript.pyannote[264].end 3520.62846875
transcript.pyannote[265].speaker SPEAKER_02
transcript.pyannote[265].start 3521.28659375
transcript.pyannote[265].end 3523.93596875
transcript.pyannote[266].speaker SPEAKER_04
transcript.pyannote[266].start 3523.93596875
transcript.pyannote[266].end 3523.95284375
transcript.pyannote[267].speaker SPEAKER_02
transcript.pyannote[267].start 3523.95284375
transcript.pyannote[267].end 3525.06659375
transcript.pyannote[268].speaker SPEAKER_07
transcript.pyannote[268].start 3525.06659375
transcript.pyannote[268].end 3525.16784375
transcript.pyannote[269].speaker SPEAKER_07
transcript.pyannote[269].start 3525.87659375
transcript.pyannote[269].end 3538.24596875
transcript.pyannote[270].speaker SPEAKER_07
transcript.pyannote[270].start 3539.37659375
transcript.pyannote[270].end 3539.83221875
transcript.pyannote[271].speaker SPEAKER_07
transcript.pyannote[271].start 3540.16971875
transcript.pyannote[271].end 3540.22034375
transcript.pyannote[272].speaker SPEAKER_04
transcript.pyannote[272].start 3540.22034375
transcript.pyannote[272].end 3541.51971875
transcript.pyannote[273].speaker SPEAKER_07
transcript.pyannote[273].start 3540.28784375
transcript.pyannote[273].end 3541.45221875
transcript.pyannote[274].speaker SPEAKER_07
transcript.pyannote[274].start 3541.51971875
transcript.pyannote[274].end 3541.62096875
transcript.pyannote[275].speaker SPEAKER_04
transcript.pyannote[275].start 3541.62096875
transcript.pyannote[275].end 3542.22846875
transcript.pyannote[276].speaker SPEAKER_07
transcript.pyannote[276].start 3541.70534375
transcript.pyannote[276].end 3542.09346875
transcript.pyannote[277].speaker SPEAKER_04
transcript.pyannote[277].start 3543.57846875
transcript.pyannote[277].end 3544.69221875
transcript.pyannote[278].speaker SPEAKER_13
transcript.pyannote[278].start 3544.48971875
transcript.pyannote[278].end 3546.64971875
transcript.pyannote[279].speaker SPEAKER_04
transcript.pyannote[279].start 3546.97034375
transcript.pyannote[279].end 3546.98721875
transcript.pyannote[280].speaker SPEAKER_24
transcript.pyannote[280].start 3546.98721875
transcript.pyannote[280].end 3547.98284375
transcript.pyannote[281].speaker SPEAKER_04
transcript.pyannote[281].start 3548.62409375
transcript.pyannote[281].end 3548.65784375
transcript.pyannote[282].speaker SPEAKER_24
transcript.pyannote[282].start 3548.65784375
transcript.pyannote[282].end 3573.70034375
transcript.pyannote[283].speaker SPEAKER_04
transcript.pyannote[283].start 3576.36659375
transcript.pyannote[283].end 3579.84284375
transcript.pyannote[284].speaker SPEAKER_04
transcript.pyannote[284].start 3580.56846875
transcript.pyannote[284].end 3586.72784375
transcript.pyannote[285].speaker SPEAKER_04
transcript.pyannote[285].start 3586.93034375
transcript.pyannote[285].end 3587.87534375
transcript.pyannote[286].speaker SPEAKER_04
transcript.pyannote[286].start 3588.31409375
transcript.pyannote[286].end 3590.25471875
transcript.pyannote[287].speaker SPEAKER_04
transcript.pyannote[287].start 3590.98034375
transcript.pyannote[287].end 3591.85784375
transcript.pyannote[288].speaker SPEAKER_04
transcript.pyannote[288].start 3592.09409375
transcript.pyannote[288].end 3595.16534375
transcript.pyannote[289].speaker SPEAKER_24
transcript.pyannote[289].start 3594.49034375
transcript.pyannote[289].end 3594.97971875
transcript.pyannote[290].speaker SPEAKER_24
transcript.pyannote[290].start 3595.16534375
transcript.pyannote[290].end 3595.36784375
transcript.pyannote[291].speaker SPEAKER_04
transcript.pyannote[291].start 3595.36784375
transcript.pyannote[291].end 3595.84034375
transcript.pyannote[292].speaker SPEAKER_04
transcript.pyannote[292].start 3595.95846875
transcript.pyannote[292].end 3596.19471875
transcript.pyannote[293].speaker SPEAKER_04
transcript.pyannote[293].start 3596.73471875
transcript.pyannote[293].end 3598.54034375
transcript.pyannote[294].speaker SPEAKER_04
transcript.pyannote[294].start 3600.43034375
transcript.pyannote[294].end 3603.18096875
transcript.pyannote[295].speaker SPEAKER_24
transcript.pyannote[295].start 3601.39221875
transcript.pyannote[295].end 3602.69159375
transcript.pyannote[296].speaker SPEAKER_09
transcript.pyannote[296].start 3603.38346875
transcript.pyannote[296].end 3608.71596875
transcript.pyannote[297].speaker SPEAKER_04
transcript.pyannote[297].start 3609.91409375
transcript.pyannote[297].end 3612.78284375
transcript.pyannote[298].speaker SPEAKER_09
transcript.pyannote[298].start 3610.03221875
transcript.pyannote[298].end 3611.41596875
transcript.pyannote[299].speaker SPEAKER_04
transcript.pyannote[299].start 3613.99784375
transcript.pyannote[299].end 3614.13284375
transcript.pyannote[300].speaker SPEAKER_04
transcript.pyannote[300].start 3614.23409375
transcript.pyannote[300].end 3614.80784375
transcript.pyannote[301].speaker SPEAKER_09
transcript.pyannote[301].start 3614.48721875
transcript.pyannote[301].end 3615.19596875
transcript.pyannote[302].speaker SPEAKER_04
transcript.pyannote[302].start 3615.76971875
transcript.pyannote[302].end 3618.40221875
transcript.pyannote[303].speaker SPEAKER_09
transcript.pyannote[303].start 3615.97221875
transcript.pyannote[303].end 3617.22096875
transcript.pyannote[304].speaker SPEAKER_04
transcript.pyannote[304].start 3619.48221875
transcript.pyannote[304].end 3623.44784375
transcript.pyannote[305].speaker SPEAKER_09
transcript.pyannote[305].start 3623.93721875
transcript.pyannote[305].end 3624.44346875
transcript.pyannote[306].speaker SPEAKER_04
transcript.pyannote[306].start 3624.44346875
transcript.pyannote[306].end 3624.52784375
transcript.pyannote[307].speaker SPEAKER_09
transcript.pyannote[307].start 3624.52784375
transcript.pyannote[307].end 3630.02909375
transcript.pyannote[308].speaker SPEAKER_21
transcript.pyannote[308].start 3630.02909375
transcript.pyannote[308].end 3717.47534375
transcript.pyannote[309].speaker SPEAKER_00
transcript.pyannote[309].start 3707.80596875
transcript.pyannote[309].end 3708.07596875
transcript.pyannote[310].speaker SPEAKER_21
transcript.pyannote[310].start 3717.81284375
transcript.pyannote[310].end 3718.25159375
transcript.pyannote[311].speaker SPEAKER_04
transcript.pyannote[311].start 3718.90971875
transcript.pyannote[311].end 3719.21346875
transcript.pyannote[312].speaker SPEAKER_04
transcript.pyannote[312].start 3721.64346875
transcript.pyannote[312].end 3723.46596875
transcript.pyannote[313].speaker SPEAKER_06
transcript.pyannote[313].start 3723.46596875
transcript.pyannote[313].end 3723.48284375
transcript.pyannote[314].speaker SPEAKER_04
transcript.pyannote[314].start 3723.48284375
transcript.pyannote[314].end 3723.49971875
transcript.pyannote[315].speaker SPEAKER_09
transcript.pyannote[315].start 3723.49971875
transcript.pyannote[315].end 3726.21659375
transcript.pyannote[316].speaker SPEAKER_04
transcript.pyannote[316].start 3725.64284375
transcript.pyannote[316].end 3726.03096875
transcript.pyannote[317].speaker SPEAKER_06
transcript.pyannote[317].start 3726.03096875
transcript.pyannote[317].end 3754.43159375
transcript.pyannote[318].speaker SPEAKER_04
transcript.pyannote[318].start 3726.21659375
transcript.pyannote[318].end 3726.90846875
transcript.pyannote[319].speaker SPEAKER_04
transcript.pyannote[319].start 3730.04721875
transcript.pyannote[319].end 3730.46909375
transcript.pyannote[320].speaker SPEAKER_06
transcript.pyannote[320].start 3754.85346875
transcript.pyannote[320].end 3770.05784375
transcript.pyannote[321].speaker SPEAKER_06
transcript.pyannote[321].start 3770.64846875
transcript.pyannote[321].end 3782.37659375
transcript.pyannote[322].speaker SPEAKER_04
transcript.pyannote[322].start 3780.53721875
transcript.pyannote[322].end 3781.00971875
transcript.pyannote[323].speaker SPEAKER_04
transcript.pyannote[323].start 3782.37659375
transcript.pyannote[323].end 3782.41034375
transcript.pyannote[324].speaker SPEAKER_06
transcript.pyannote[324].start 3782.41034375
transcript.pyannote[324].end 3782.42721875
transcript.pyannote[325].speaker SPEAKER_04
transcript.pyannote[325].start 3782.42721875
transcript.pyannote[325].end 3786.78096875
transcript.pyannote[326].speaker SPEAKER_06
transcript.pyannote[326].start 3782.47784375
transcript.pyannote[326].end 3784.38471875
transcript.pyannote[327].speaker SPEAKER_04
transcript.pyannote[327].start 3787.74284375
transcript.pyannote[327].end 3788.99159375
transcript.pyannote[328].speaker SPEAKER_04
transcript.pyannote[328].start 3789.70034375
transcript.pyannote[328].end 3793.29471875
transcript.pyannote[329].speaker SPEAKER_04
transcript.pyannote[329].start 3793.81784375
transcript.pyannote[329].end 3797.53034375
transcript.pyannote[330].speaker SPEAKER_06
transcript.pyannote[330].start 3793.86846875
transcript.pyannote[330].end 3794.03721875
transcript.pyannote[331].speaker SPEAKER_12
transcript.pyannote[331].start 3794.03721875
transcript.pyannote[331].end 3794.20596875
transcript.pyannote[332].speaker SPEAKER_06
transcript.pyannote[332].start 3794.20596875
transcript.pyannote[332].end 3794.35784375
transcript.pyannote[333].speaker SPEAKER_12
transcript.pyannote[333].start 3794.35784375
transcript.pyannote[333].end 3794.42534375
transcript.pyannote[334].speaker SPEAKER_06
transcript.pyannote[334].start 3794.42534375
transcript.pyannote[334].end 3794.44221875
transcript.pyannote[335].speaker SPEAKER_13
transcript.pyannote[335].start 3798.20534375
transcript.pyannote[335].end 3798.32346875
transcript.pyannote[336].speaker SPEAKER_04
transcript.pyannote[336].start 3798.32346875
transcript.pyannote[336].end 3801.29346875
transcript.pyannote[337].speaker SPEAKER_13
transcript.pyannote[337].start 3798.77909375
transcript.pyannote[337].end 3801.56346875
transcript.pyannote[338].speaker SPEAKER_13
transcript.pyannote[338].start 3802.08659375
transcript.pyannote[338].end 3802.54221875
transcript.pyannote[339].speaker SPEAKER_13
transcript.pyannote[339].start 3804.63471875
transcript.pyannote[339].end 3805.64721875
transcript.pyannote[340].speaker SPEAKER_13
transcript.pyannote[340].start 3805.88346875
transcript.pyannote[340].end 3806.01846875
transcript.pyannote[341].speaker SPEAKER_13
transcript.pyannote[341].start 3806.50784375
transcript.pyannote[341].end 3812.11034375
transcript.pyannote[342].speaker SPEAKER_06
transcript.pyannote[342].start 3812.68409375
transcript.pyannote[342].end 3814.11846875
transcript.pyannote[343].speaker SPEAKER_13
transcript.pyannote[343].start 3813.42659375
transcript.pyannote[343].end 3815.65409375
transcript.pyannote[344].speaker SPEAKER_09
transcript.pyannote[344].start 3815.65409375
transcript.pyannote[344].end 3815.73846875
transcript.pyannote[345].speaker SPEAKER_13
transcript.pyannote[345].start 3815.73846875
transcript.pyannote[345].end 3815.82284375
transcript.pyannote[346].speaker SPEAKER_06
transcript.pyannote[346].start 3815.78909375
transcript.pyannote[346].end 3817.57784375
transcript.pyannote[347].speaker SPEAKER_09
transcript.pyannote[347].start 3815.82284375
transcript.pyannote[347].end 3825.30659375
transcript.pyannote[348].speaker SPEAKER_13
transcript.pyannote[348].start 3817.57784375
transcript.pyannote[348].end 3817.64534375
transcript.pyannote[349].speaker SPEAKER_09
transcript.pyannote[349].start 3825.57659375
transcript.pyannote[349].end 3866.02596875
transcript.pyannote[350].speaker SPEAKER_09
transcript.pyannote[350].start 3866.80221875
transcript.pyannote[350].end 3939.02721875
transcript.pyannote[351].speaker SPEAKER_13
transcript.pyannote[351].start 3939.02721875
transcript.pyannote[351].end 3947.32971875
transcript.pyannote[352].speaker SPEAKER_13
transcript.pyannote[352].start 3947.83596875
transcript.pyannote[352].end 3952.29096875
transcript.pyannote[353].speaker SPEAKER_09
transcript.pyannote[353].start 3952.51034375
transcript.pyannote[353].end 3972.15284375
transcript.pyannote[354].speaker SPEAKER_06
transcript.pyannote[354].start 3973.84034375
transcript.pyannote[354].end 3989.46659375
transcript.pyannote[355].speaker SPEAKER_06
transcript.pyannote[355].start 3989.88846875
transcript.pyannote[355].end 3990.20909375
transcript.pyannote[356].speaker SPEAKER_09
transcript.pyannote[356].start 3990.58034375
transcript.pyannote[356].end 4021.51221875
transcript.pyannote[357].speaker SPEAKER_09
transcript.pyannote[357].start 4022.32221875
transcript.pyannote[357].end 4056.62909375
transcript.pyannote[358].speaker SPEAKER_06
transcript.pyannote[358].start 4057.38846875
transcript.pyannote[358].end 4057.40534375
transcript.pyannote[359].speaker SPEAKER_04
transcript.pyannote[359].start 4057.40534375
transcript.pyannote[359].end 4059.61596875
transcript.pyannote[360].speaker SPEAKER_04
transcript.pyannote[360].start 4060.79721875
transcript.pyannote[360].end 4062.36659375
transcript.pyannote[361].speaker SPEAKER_04
transcript.pyannote[361].start 4063.09221875
transcript.pyannote[361].end 4076.17034375
transcript.pyannote[362].speaker SPEAKER_06
transcript.pyannote[362].start 4068.37409375
transcript.pyannote[362].end 4069.38659375
transcript.pyannote[363].speaker SPEAKER_17
transcript.pyannote[363].start 4076.17034375
transcript.pyannote[363].end 4076.37284375
transcript.pyannote[364].speaker SPEAKER_04
transcript.pyannote[364].start 4076.37284375
transcript.pyannote[364].end 4076.38971875
transcript.pyannote[365].speaker SPEAKER_17
transcript.pyannote[365].start 4076.38971875
transcript.pyannote[365].end 4076.40659375
transcript.pyannote[366].speaker SPEAKER_04
transcript.pyannote[366].start 4076.40659375
transcript.pyannote[366].end 4078.41471875
transcript.pyannote[367].speaker SPEAKER_04
transcript.pyannote[367].start 4078.90409375
transcript.pyannote[367].end 4084.03409375
transcript.pyannote[368].speaker SPEAKER_13
transcript.pyannote[368].start 4084.28721875
transcript.pyannote[368].end 4088.35409375
transcript.pyannote[369].speaker SPEAKER_04
transcript.pyannote[369].start 4086.51471875
transcript.pyannote[369].end 4087.47659375
transcript.pyannote[370].speaker SPEAKER_04
transcript.pyannote[370].start 4088.74221875
transcript.pyannote[370].end 4089.02909375
transcript.pyannote[371].speaker SPEAKER_04
transcript.pyannote[371].start 4089.51846875
transcript.pyannote[371].end 4092.10034375
transcript.pyannote[372].speaker SPEAKER_04
transcript.pyannote[372].start 4092.64034375
transcript.pyannote[372].end 4095.66096875
transcript.pyannote[373].speaker SPEAKER_04
transcript.pyannote[373].start 4096.36971875
transcript.pyannote[373].end 4097.70284375
transcript.pyannote[374].speaker SPEAKER_17
transcript.pyannote[374].start 4097.71971875
transcript.pyannote[374].end 4098.02346875
transcript.pyannote[375].speaker SPEAKER_04
transcript.pyannote[375].start 4099.60971875
transcript.pyannote[375].end 4104.92534375
transcript.pyannote[376].speaker SPEAKER_04
transcript.pyannote[376].start 4105.51596875
transcript.pyannote[376].end 4109.54909375
transcript.pyannote[377].speaker SPEAKER_04
transcript.pyannote[377].start 4110.15659375
transcript.pyannote[377].end 4112.50221875
transcript.pyannote[378].speaker SPEAKER_17
transcript.pyannote[378].start 4112.08034375
transcript.pyannote[378].end 4112.16471875
transcript.pyannote[379].speaker SPEAKER_08
transcript.pyannote[379].start 4112.16471875
transcript.pyannote[379].end 4112.48534375
transcript.pyannote[380].speaker SPEAKER_17
transcript.pyannote[380].start 4112.50221875
transcript.pyannote[380].end 4112.70471875
transcript.pyannote[381].speaker SPEAKER_08
transcript.pyannote[381].start 4112.70471875
transcript.pyannote[381].end 4118.79659375
transcript.pyannote[382].speaker SPEAKER_04
transcript.pyannote[382].start 4118.98221875
transcript.pyannote[382].end 4120.41659375
transcript.pyannote[383].speaker SPEAKER_04
transcript.pyannote[383].start 4120.66971875
transcript.pyannote[383].end 4120.72034375
transcript.pyannote[384].speaker SPEAKER_17
transcript.pyannote[384].start 4120.72034375
transcript.pyannote[384].end 4120.97346875
transcript.pyannote[385].speaker SPEAKER_21
transcript.pyannote[385].start 4120.97346875
transcript.pyannote[385].end 4121.02409375
transcript.pyannote[386].speaker SPEAKER_17
transcript.pyannote[386].start 4121.02409375
transcript.pyannote[386].end 4121.61471875
transcript.pyannote[387].speaker SPEAKER_21
transcript.pyannote[387].start 4121.61471875
transcript.pyannote[387].end 4121.69909375
transcript.pyannote[388].speaker SPEAKER_17
transcript.pyannote[388].start 4121.69909375
transcript.pyannote[388].end 4122.45846875
transcript.pyannote[389].speaker SPEAKER_01
transcript.pyannote[389].start 4122.45846875
transcript.pyannote[389].end 4126.01909375
transcript.pyannote[390].speaker SPEAKER_17
transcript.pyannote[390].start 4122.47534375
transcript.pyannote[390].end 4122.49221875
transcript.pyannote[391].speaker SPEAKER_08
transcript.pyannote[391].start 4122.49221875
transcript.pyannote[391].end 4122.66096875
transcript.pyannote[392].speaker SPEAKER_17
transcript.pyannote[392].start 4122.66096875
transcript.pyannote[392].end 4125.66471875
transcript.pyannote[393].speaker SPEAKER_17
transcript.pyannote[393].start 4126.01909375
transcript.pyannote[393].end 4126.13721875
transcript.pyannote[394].speaker SPEAKER_01
transcript.pyannote[394].start 4126.13721875
transcript.pyannote[394].end 4126.84596875
transcript.pyannote[395].speaker SPEAKER_17
transcript.pyannote[395].start 4126.84596875
transcript.pyannote[395].end 4126.96409375
transcript.pyannote[396].speaker SPEAKER_01
transcript.pyannote[396].start 4126.96409375
transcript.pyannote[396].end 4127.09909375
transcript.pyannote[397].speaker SPEAKER_17
transcript.pyannote[397].start 4127.09909375
transcript.pyannote[397].end 4127.31846875
transcript.pyannote[398].speaker SPEAKER_04
transcript.pyannote[398].start 4127.74034375
transcript.pyannote[398].end 4130.71034375
transcript.pyannote[399].speaker SPEAKER_17
transcript.pyannote[399].start 4127.75721875
transcript.pyannote[399].end 4127.77409375
transcript.pyannote[400].speaker SPEAKER_01
transcript.pyannote[400].start 4127.77409375
transcript.pyannote[400].end 4127.80784375
transcript.pyannote[401].speaker SPEAKER_17
transcript.pyannote[401].start 4127.80784375
transcript.pyannote[401].end 4127.97659375
transcript.pyannote[402].speaker SPEAKER_01
transcript.pyannote[402].start 4127.97659375
transcript.pyannote[402].end 4128.19596875
transcript.pyannote[403].speaker SPEAKER_17
transcript.pyannote[403].start 4128.19596875
transcript.pyannote[403].end 4128.21284375
transcript.pyannote[404].speaker SPEAKER_04
transcript.pyannote[404].start 4132.48221875
transcript.pyannote[404].end 4134.59159375
transcript.pyannote[405].speaker SPEAKER_04
transcript.pyannote[405].start 4134.94596875
transcript.pyannote[405].end 4135.30034375
transcript.pyannote[406].speaker SPEAKER_04
transcript.pyannote[406].start 4136.46471875
transcript.pyannote[406].end 4139.92409375
transcript.pyannote[407].speaker SPEAKER_04
transcript.pyannote[407].start 4140.44721875
transcript.pyannote[407].end 4144.58159375
transcript.pyannote[408].speaker SPEAKER_04
transcript.pyannote[408].start 4145.00346875
transcript.pyannote[408].end 4147.29846875
transcript.pyannote[409].speaker SPEAKER_04
transcript.pyannote[409].start 4147.78784375
transcript.pyannote[409].end 4155.87096875
transcript.pyannote[410].speaker SPEAKER_04
transcript.pyannote[410].start 4156.79909375
transcript.pyannote[410].end 4157.45721875
transcript.pyannote[411].speaker SPEAKER_01
transcript.pyannote[411].start 4157.96346875
transcript.pyannote[411].end 4157.98034375
transcript.pyannote[412].speaker SPEAKER_01
transcript.pyannote[412].start 4158.97596875
transcript.pyannote[412].end 4161.76034375
transcript.pyannote[413].speaker SPEAKER_04
transcript.pyannote[413].start 4161.76034375
transcript.pyannote[413].end 4163.34659375
transcript.pyannote[414].speaker SPEAKER_01
transcript.pyannote[414].start 4163.34659375
transcript.pyannote[414].end 4164.19034375
transcript.pyannote[415].speaker SPEAKER_01
transcript.pyannote[415].start 4164.96659375
transcript.pyannote[415].end 4165.33784375
transcript.pyannote[416].speaker SPEAKER_04
transcript.pyannote[416].start 4165.33784375
transcript.pyannote[416].end 4168.13909375
transcript.pyannote[417].speaker SPEAKER_09
transcript.pyannote[417].start 4168.13909375
transcript.pyannote[417].end 4168.94909375
transcript.pyannote[418].speaker SPEAKER_04
transcript.pyannote[418].start 4168.62846875
transcript.pyannote[418].end 4168.96596875
transcript.pyannote[419].speaker SPEAKER_17
transcript.pyannote[419].start 4168.94909375
transcript.pyannote[419].end 4168.99971875
transcript.pyannote[420].speaker SPEAKER_09
transcript.pyannote[420].start 4168.99971875
transcript.pyannote[420].end 4174.65284375
transcript.pyannote[421].speaker SPEAKER_09
transcript.pyannote[421].start 4175.34471875
transcript.pyannote[421].end 4182.48284375
transcript.pyannote[422].speaker SPEAKER_04
transcript.pyannote[422].start 4182.48284375
transcript.pyannote[422].end 4182.49971875
transcript.pyannote[423].speaker SPEAKER_01
transcript.pyannote[423].start 4182.93846875
transcript.pyannote[423].end 4186.63409375
transcript.pyannote[424].speaker SPEAKER_04
transcript.pyannote[424].start 4187.08971875
transcript.pyannote[424].end 4189.48596875
transcript.pyannote[425].speaker SPEAKER_01
transcript.pyannote[425].start 4189.13159375
transcript.pyannote[425].end 4189.46909375
transcript.pyannote[426].speaker SPEAKER_01
transcript.pyannote[426].start 4189.48596875
transcript.pyannote[426].end 4192.79346875
transcript.pyannote[427].speaker SPEAKER_04
transcript.pyannote[427].start 4192.79346875
transcript.pyannote[427].end 4193.78909375
transcript.pyannote[428].speaker SPEAKER_01
transcript.pyannote[428].start 4192.84409375
transcript.pyannote[428].end 4192.99596875
transcript.pyannote[429].speaker SPEAKER_01
transcript.pyannote[429].start 4193.16471875
transcript.pyannote[429].end 4193.18159375
transcript.pyannote[430].speaker SPEAKER_09
transcript.pyannote[430].start 4193.18159375
transcript.pyannote[430].end 4203.64409375
transcript.pyannote[431].speaker SPEAKER_17
transcript.pyannote[431].start 4203.12096875
transcript.pyannote[431].end 4208.31846875
transcript.pyannote[432].speaker SPEAKER_09
transcript.pyannote[432].start 4208.77409375
transcript.pyannote[432].end 4215.42284375
transcript.pyannote[433].speaker SPEAKER_09
transcript.pyannote[433].start 4215.77721875
transcript.pyannote[433].end 4216.51971875
transcript.pyannote[434].speaker SPEAKER_09
transcript.pyannote[434].start 4217.32971875
transcript.pyannote[434].end 4218.57846875
transcript.pyannote[435].speaker SPEAKER_04
transcript.pyannote[435].start 4217.66721875
transcript.pyannote[435].end 4218.02159375
transcript.pyannote[436].speaker SPEAKER_04
transcript.pyannote[436].start 4218.03846875
transcript.pyannote[436].end 4220.87346875
transcript.pyannote[437].speaker SPEAKER_09
transcript.pyannote[437].start 4221.12659375
transcript.pyannote[437].end 4221.68346875
transcript.pyannote[438].speaker SPEAKER_04
transcript.pyannote[438].start 4222.12221875
transcript.pyannote[438].end 4222.24034375
transcript.pyannote[439].speaker SPEAKER_04
transcript.pyannote[439].start 4223.92784375
transcript.pyannote[439].end 4225.73346875
transcript.pyannote[440].speaker SPEAKER_04
transcript.pyannote[440].start 4225.96971875
transcript.pyannote[440].end 4227.64034375
transcript.pyannote[441].speaker SPEAKER_04
transcript.pyannote[441].start 4229.24346875
transcript.pyannote[441].end 4231.85909375
transcript.pyannote[442].speaker SPEAKER_09
transcript.pyannote[442].start 4229.74971875
transcript.pyannote[442].end 4232.31471875
transcript.pyannote[443].speaker SPEAKER_04
transcript.pyannote[443].start 4232.31471875
transcript.pyannote[443].end 4232.36534375
transcript.pyannote[444].speaker SPEAKER_04
transcript.pyannote[444].start 4232.85471875
transcript.pyannote[444].end 4234.13721875
transcript.pyannote[445].speaker SPEAKER_04
transcript.pyannote[445].start 4237.39409375
transcript.pyannote[445].end 4239.70596875
transcript.pyannote[446].speaker SPEAKER_04
transcript.pyannote[446].start 4239.89159375
transcript.pyannote[446].end 4241.27534375
transcript.pyannote[447].speaker SPEAKER_04
transcript.pyannote[447].start 4242.59159375
transcript.pyannote[447].end 4247.62034375
transcript.pyannote[448].speaker SPEAKER_04
transcript.pyannote[448].start 4248.95346875
transcript.pyannote[448].end 4252.78409375
transcript.pyannote[449].speaker SPEAKER_17
transcript.pyannote[449].start 4252.42971875
transcript.pyannote[449].end 4253.61096875
transcript.pyannote[450].speaker SPEAKER_04
transcript.pyannote[450].start 4254.04971875
transcript.pyannote[450].end 4254.37034375
transcript.pyannote[451].speaker SPEAKER_17
transcript.pyannote[451].start 4254.58971875
transcript.pyannote[451].end 4257.01971875
transcript.pyannote[452].speaker SPEAKER_17
transcript.pyannote[452].start 4257.03659375
transcript.pyannote[452].end 4257.05346875
transcript.pyannote[453].speaker SPEAKER_04
transcript.pyannote[453].start 4257.07034375
transcript.pyannote[453].end 4261.30596875
transcript.pyannote[454].speaker SPEAKER_09
transcript.pyannote[454].start 4261.30596875
transcript.pyannote[454].end 4262.23409375
transcript.pyannote[455].speaker SPEAKER_04
transcript.pyannote[455].start 4261.87971875
transcript.pyannote[455].end 4264.00596875
transcript.pyannote[456].speaker SPEAKER_09
transcript.pyannote[456].start 4263.07784375
transcript.pyannote[456].end 4281.64034375
transcript.pyannote[457].speaker SPEAKER_04
transcript.pyannote[457].start 4282.01159375
transcript.pyannote[457].end 4287.63096875
transcript.pyannote[458].speaker SPEAKER_04
transcript.pyannote[458].start 4288.87971875
transcript.pyannote[458].end 4289.18346875
transcript.pyannote[459].speaker SPEAKER_04
transcript.pyannote[459].start 4290.07784375
transcript.pyannote[459].end 4290.60096875
transcript.pyannote[460].speaker SPEAKER_04
transcript.pyannote[460].start 4291.54596875
transcript.pyannote[460].end 4293.23346875
transcript.pyannote[461].speaker SPEAKER_09
transcript.pyannote[461].start 4293.04784375
transcript.pyannote[461].end 4294.22909375
transcript.pyannote[462].speaker SPEAKER_04
transcript.pyannote[462].start 4294.29659375
transcript.pyannote[462].end 4297.46909375
transcript.pyannote[463].speaker SPEAKER_09
transcript.pyannote[463].start 4295.05596875
transcript.pyannote[463].end 4295.96721875
transcript.pyannote[464].speaker SPEAKER_21
transcript.pyannote[464].start 4295.96721875
transcript.pyannote[464].end 4296.00096875
transcript.pyannote[465].speaker SPEAKER_04
transcript.pyannote[465].start 4298.16096875
transcript.pyannote[465].end 4298.48159375
transcript.pyannote[466].speaker SPEAKER_04
transcript.pyannote[466].start 4299.84846875
transcript.pyannote[466].end 4300.70909375
transcript.pyannote[467].speaker SPEAKER_21
transcript.pyannote[467].start 4300.33784375
transcript.pyannote[467].end 4329.88596875
transcript.pyannote[468].speaker SPEAKER_21
transcript.pyannote[468].start 4330.07159375
transcript.pyannote[468].end 4336.04534375
transcript.pyannote[469].speaker SPEAKER_21
transcript.pyannote[469].start 4336.46721875
transcript.pyannote[469].end 4374.82409375
transcript.pyannote[470].speaker SPEAKER_24
transcript.pyannote[470].start 4375.92096875
transcript.pyannote[470].end 4381.32096875
transcript.pyannote[471].speaker SPEAKER_24
transcript.pyannote[471].start 4381.45596875
transcript.pyannote[471].end 4383.32909375
transcript.pyannote[472].speaker SPEAKER_24
transcript.pyannote[472].start 4383.86909375
transcript.pyannote[472].end 4466.99534375
transcript.pyannote[473].speaker SPEAKER_24
transcript.pyannote[473].start 4467.09659375
transcript.pyannote[473].end 4467.51846875
transcript.pyannote[474].speaker SPEAKER_04
transcript.pyannote[474].start 4468.24409375
transcript.pyannote[474].end 4469.03721875
transcript.pyannote[475].speaker SPEAKER_24
transcript.pyannote[475].start 4469.10471875
transcript.pyannote[475].end 4475.16284375
transcript.pyannote[476].speaker SPEAKER_24
transcript.pyannote[476].start 4476.19221875
transcript.pyannote[476].end 4478.94284375
transcript.pyannote[477].speaker SPEAKER_04
transcript.pyannote[477].start 4477.60971875
transcript.pyannote[477].end 4478.35221875
transcript.pyannote[478].speaker SPEAKER_04
transcript.pyannote[478].start 4479.16221875
transcript.pyannote[478].end 4480.12409375
transcript.pyannote[479].speaker SPEAKER_24
transcript.pyannote[479].start 4480.22534375
transcript.pyannote[479].end 4481.59221875
transcript.pyannote[480].speaker SPEAKER_04
transcript.pyannote[480].start 4481.37284375
transcript.pyannote[480].end 4482.68909375
transcript.pyannote[481].speaker SPEAKER_24
transcript.pyannote[481].start 4482.77346875
transcript.pyannote[481].end 4486.60409375
transcript.pyannote[482].speaker SPEAKER_04
transcript.pyannote[482].start 4486.77284375
transcript.pyannote[482].end 4487.39721875
transcript.pyannote[483].speaker SPEAKER_04
transcript.pyannote[483].start 4489.11846875
transcript.pyannote[483].end 4494.33284375
transcript.pyannote[484].speaker SPEAKER_04
transcript.pyannote[484].start 4495.78409375
transcript.pyannote[484].end 4499.96909375
transcript.pyannote[485].speaker SPEAKER_24
transcript.pyannote[485].start 4499.96909375
transcript.pyannote[485].end 4501.31909375
transcript.pyannote[486].speaker SPEAKER_04
transcript.pyannote[486].start 4501.04909375
transcript.pyannote[486].end 4504.37346875
transcript.pyannote[487].speaker SPEAKER_24
transcript.pyannote[487].start 4502.58471875
transcript.pyannote[487].end 4503.54659375
transcript.pyannote[488].speaker SPEAKER_04
transcript.pyannote[488].start 4504.99784375
transcript.pyannote[488].end 4505.52096875
transcript.pyannote[489].speaker SPEAKER_04
transcript.pyannote[489].start 4505.79096875
transcript.pyannote[489].end 4506.58409375
transcript.pyannote[490].speaker SPEAKER_04
transcript.pyannote[490].start 4507.00596875
transcript.pyannote[490].end 4507.61346875
transcript.pyannote[491].speaker SPEAKER_04
transcript.pyannote[491].start 4508.32221875
transcript.pyannote[491].end 4516.25346875
transcript.pyannote[492].speaker SPEAKER_04
transcript.pyannote[492].start 4517.13096875
transcript.pyannote[492].end 4517.85659375
transcript.pyannote[493].speaker SPEAKER_24
transcript.pyannote[493].start 4517.85659375
transcript.pyannote[493].end 4524.92721875
transcript.pyannote[494].speaker SPEAKER_04
transcript.pyannote[494].start 4519.78034375
transcript.pyannote[494].end 4520.33721875
transcript.pyannote[495].speaker SPEAKER_04
transcript.pyannote[495].start 4525.07909375
transcript.pyannote[495].end 4529.23034375
transcript.pyannote[496].speaker SPEAKER_04
transcript.pyannote[496].start 4530.04034375
transcript.pyannote[496].end 4531.96409375
transcript.pyannote[497].speaker SPEAKER_24
transcript.pyannote[497].start 4531.13721875
transcript.pyannote[497].end 4552.06221875
transcript.pyannote[498].speaker SPEAKER_24
transcript.pyannote[498].start 4552.63596875
transcript.pyannote[498].end 4553.47971875
transcript.pyannote[499].speaker SPEAKER_04
transcript.pyannote[499].start 4554.91409375
transcript.pyannote[499].end 4559.16659375
transcript.pyannote[500].speaker SPEAKER_24
transcript.pyannote[500].start 4557.51284375
transcript.pyannote[500].end 4561.95096875
transcript.pyannote[501].speaker SPEAKER_04
transcript.pyannote[501].start 4562.23784375
transcript.pyannote[501].end 4563.21659375
transcript.pyannote[502].speaker SPEAKER_24
transcript.pyannote[502].start 4563.21659375
transcript.pyannote[502].end 4563.55409375
transcript.pyannote[503].speaker SPEAKER_24
transcript.pyannote[503].start 4568.27909375
transcript.pyannote[503].end 4573.64534375
transcript.pyannote[504].speaker SPEAKER_24
transcript.pyannote[504].start 4575.19784375
transcript.pyannote[504].end 4576.71659375
transcript.pyannote[505].speaker SPEAKER_24
transcript.pyannote[505].start 4579.14659375
transcript.pyannote[505].end 4580.12534375
transcript.pyannote[506].speaker SPEAKER_17
transcript.pyannote[506].start 4581.03659375
transcript.pyannote[506].end 4581.82971875
transcript.pyannote[507].speaker SPEAKER_24
transcript.pyannote[507].start 4584.24284375
transcript.pyannote[507].end 4586.62221875
transcript.pyannote[508].speaker SPEAKER_04
transcript.pyannote[508].start 4586.62221875
transcript.pyannote[508].end 4586.79096875
transcript.pyannote[509].speaker SPEAKER_04
transcript.pyannote[509].start 4587.19596875
transcript.pyannote[509].end 4588.49534375
transcript.pyannote[510].speaker SPEAKER_04
transcript.pyannote[510].start 4590.80721875
transcript.pyannote[510].end 4596.79784375
transcript.pyannote[511].speaker SPEAKER_17
transcript.pyannote[511].start 4594.08096875
transcript.pyannote[511].end 4594.26659375
transcript.pyannote[512].speaker SPEAKER_00
transcript.pyannote[512].start 4594.26659375
transcript.pyannote[512].end 4594.89096875
transcript.pyannote[513].speaker SPEAKER_17
transcript.pyannote[513].start 4594.89096875
transcript.pyannote[513].end 4595.11034375
transcript.pyannote[514].speaker SPEAKER_00
transcript.pyannote[514].start 4595.11034375
transcript.pyannote[514].end 4595.17784375
transcript.pyannote[515].speaker SPEAKER_17
transcript.pyannote[515].start 4595.17784375
transcript.pyannote[515].end 4595.97096875
transcript.pyannote[516].speaker SPEAKER_24
transcript.pyannote[516].start 4595.97096875
transcript.pyannote[516].end 4596.12284375
transcript.pyannote[517].speaker SPEAKER_04
transcript.pyannote[517].start 4597.35471875
transcript.pyannote[517].end 4599.78471875
transcript.pyannote[518].speaker SPEAKER_04
transcript.pyannote[518].start 4600.24034375
transcript.pyannote[518].end 4600.96596875
transcript.pyannote[519].speaker SPEAKER_24
transcript.pyannote[519].start 4600.96596875
transcript.pyannote[519].end 4601.28659375
transcript.pyannote[520].speaker SPEAKER_04
transcript.pyannote[520].start 4601.28659375
transcript.pyannote[520].end 4602.55221875
transcript.pyannote[521].speaker SPEAKER_24
transcript.pyannote[521].start 4601.30346875
transcript.pyannote[521].end 4606.60221875
transcript.pyannote[522].speaker SPEAKER_04
transcript.pyannote[522].start 4605.60659375
transcript.pyannote[522].end 4605.99471875
transcript.pyannote[523].speaker SPEAKER_24
transcript.pyannote[523].start 4607.05784375
transcript.pyannote[523].end 4607.88471875
transcript.pyannote[524].speaker SPEAKER_24
transcript.pyannote[524].start 4609.06596875
transcript.pyannote[524].end 4612.00221875
transcript.pyannote[525].speaker SPEAKER_00
transcript.pyannote[525].start 4610.70284375
transcript.pyannote[525].end 4610.90534375
transcript.pyannote[526].speaker SPEAKER_17
transcript.pyannote[526].start 4610.90534375
transcript.pyannote[526].end 4610.93909375
transcript.pyannote[527].speaker SPEAKER_00
transcript.pyannote[527].start 4610.93909375
transcript.pyannote[527].end 4611.19221875
transcript.pyannote[528].speaker SPEAKER_24
transcript.pyannote[528].start 4612.93034375
transcript.pyannote[528].end 4617.53721875
transcript.pyannote[529].speaker SPEAKER_24
transcript.pyannote[529].start 4618.68471875
transcript.pyannote[529].end 4619.46096875
transcript.pyannote[530].speaker SPEAKER_24
transcript.pyannote[530].start 4620.18659375
transcript.pyannote[530].end 4625.55284375
transcript.pyannote[531].speaker SPEAKER_24
transcript.pyannote[531].start 4626.43034375
transcript.pyannote[531].end 4635.10409375
transcript.pyannote[532].speaker SPEAKER_24
transcript.pyannote[532].start 4636.50471875
transcript.pyannote[532].end 4637.12909375
transcript.pyannote[533].speaker SPEAKER_24
transcript.pyannote[533].start 4637.71971875
transcript.pyannote[533].end 4643.17034375
transcript.pyannote[534].speaker SPEAKER_24
transcript.pyannote[534].start 4644.14909375
transcript.pyannote[534].end 4650.96659375
transcript.pyannote[535].speaker SPEAKER_24
transcript.pyannote[535].start 4651.84409375
transcript.pyannote[535].end 4658.77971875
transcript.pyannote[536].speaker SPEAKER_24
transcript.pyannote[536].start 4659.77534375
transcript.pyannote[536].end 4663.69034375
transcript.pyannote[537].speaker SPEAKER_24
transcript.pyannote[537].start 4663.85909375
transcript.pyannote[537].end 4669.81596875
transcript.pyannote[538].speaker SPEAKER_04
transcript.pyannote[538].start 4668.02721875
transcript.pyannote[538].end 4668.43221875
transcript.pyannote[539].speaker SPEAKER_04
transcript.pyannote[539].start 4670.27159375
transcript.pyannote[539].end 4672.07721875
transcript.pyannote[540].speaker SPEAKER_24
transcript.pyannote[540].start 4671.99284375
transcript.pyannote[540].end 4673.17409375
transcript.pyannote[541].speaker SPEAKER_04
transcript.pyannote[541].start 4672.33034375
transcript.pyannote[541].end 4672.36409375
transcript.pyannote[542].speaker SPEAKER_04
transcript.pyannote[542].start 4673.32596875
transcript.pyannote[542].end 4673.62971875
transcript.pyannote[543].speaker SPEAKER_24
transcript.pyannote[543].start 4674.25409375
transcript.pyannote[543].end 4681.47659375
transcript.pyannote[544].speaker SPEAKER_24
transcript.pyannote[544].start 4682.47221875
transcript.pyannote[544].end 4683.11346875
transcript.pyannote[545].speaker SPEAKER_24
transcript.pyannote[545].start 4683.83909375
transcript.pyannote[545].end 4689.94784375
transcript.pyannote[546].speaker SPEAKER_24
transcript.pyannote[546].start 4691.82096875
transcript.pyannote[546].end 4692.39471875
transcript.pyannote[547].speaker SPEAKER_24
transcript.pyannote[547].start 4692.58034375
transcript.pyannote[547].end 4699.76909375
transcript.pyannote[548].speaker SPEAKER_24
transcript.pyannote[548].start 4700.86596875
transcript.pyannote[548].end 4701.62534375
transcript.pyannote[549].speaker SPEAKER_24
transcript.pyannote[549].start 4702.08096875
transcript.pyannote[549].end 4707.43034375
transcript.pyannote[550].speaker SPEAKER_04
transcript.pyannote[550].start 4703.02596875
transcript.pyannote[550].end 4703.09346875
transcript.pyannote[551].speaker SPEAKER_02
transcript.pyannote[551].start 4703.09346875
transcript.pyannote[551].end 4703.58284375
transcript.pyannote[552].speaker SPEAKER_04
transcript.pyannote[552].start 4703.58284375
transcript.pyannote[552].end 4703.63346875
transcript.pyannote[553].speaker SPEAKER_11
transcript.pyannote[553].start 4708.24034375
transcript.pyannote[553].end 4710.72096875
transcript.pyannote[554].speaker SPEAKER_24
transcript.pyannote[554].start 4710.67034375
transcript.pyannote[554].end 4712.35784375
transcript.pyannote[555].speaker SPEAKER_24
transcript.pyannote[555].start 4712.86409375
transcript.pyannote[555].end 4759.01721875
transcript.pyannote[556].speaker SPEAKER_11
transcript.pyannote[556].start 4758.15659375
transcript.pyannote[556].end 4774.49159375
transcript.pyannote[557].speaker SPEAKER_24
transcript.pyannote[557].start 4774.49159375
transcript.pyannote[557].end 4788.43034375
transcript.pyannote[558].speaker SPEAKER_24
transcript.pyannote[558].start 4788.64971875
transcript.pyannote[558].end 4791.28221875
transcript.pyannote[559].speaker SPEAKER_11
transcript.pyannote[559].start 4790.40471875
transcript.pyannote[559].end 4793.79659375
transcript.pyannote[560].speaker SPEAKER_24
transcript.pyannote[560].start 4793.08784375
transcript.pyannote[560].end 4793.69534375
transcript.pyannote[561].speaker SPEAKER_11
transcript.pyannote[561].start 4794.28596875
transcript.pyannote[561].end 4796.63159375
transcript.pyannote[562].speaker SPEAKER_11
transcript.pyannote[562].start 4797.10409375
transcript.pyannote[562].end 4798.35284375
transcript.pyannote[563].speaker SPEAKER_24
transcript.pyannote[563].start 4797.20534375
transcript.pyannote[563].end 4811.85284375
transcript.pyannote[564].speaker SPEAKER_11
transcript.pyannote[564].start 4813.74284375
transcript.pyannote[564].end 4829.18346875
transcript.pyannote[565].speaker SPEAKER_17
transcript.pyannote[565].start 4816.84784375
transcript.pyannote[565].end 4816.89846875
transcript.pyannote[566].speaker SPEAKER_17
transcript.pyannote[566].start 4817.67471875
transcript.pyannote[566].end 4817.75909375
transcript.pyannote[567].speaker SPEAKER_24
transcript.pyannote[567].start 4817.75909375
transcript.pyannote[567].end 4819.83471875
transcript.pyannote[568].speaker SPEAKER_17
transcript.pyannote[568].start 4819.83471875
transcript.pyannote[568].end 4819.85159375
transcript.pyannote[569].speaker SPEAKER_17
transcript.pyannote[569].start 4823.44596875
transcript.pyannote[569].end 4823.47971875
transcript.pyannote[570].speaker SPEAKER_24
transcript.pyannote[570].start 4823.47971875
transcript.pyannote[570].end 4825.75784375
transcript.pyannote[571].speaker SPEAKER_24
transcript.pyannote[571].start 4826.36534375
transcript.pyannote[571].end 4826.75346875
transcript.pyannote[572].speaker SPEAKER_24
transcript.pyannote[572].start 4828.72784375
transcript.pyannote[572].end 4831.76534375
transcript.pyannote[573].speaker SPEAKER_11
transcript.pyannote[573].start 4830.70221875
transcript.pyannote[573].end 4837.82346875
transcript.pyannote[574].speaker SPEAKER_24
transcript.pyannote[574].start 4832.44034375
transcript.pyannote[574].end 4833.41909375
transcript.pyannote[575].speaker SPEAKER_24
transcript.pyannote[575].start 4836.05159375
transcript.pyannote[575].end 4846.02471875
transcript.pyannote[576].speaker SPEAKER_11
transcript.pyannote[576].start 4838.21159375
transcript.pyannote[576].end 4839.32534375
transcript.pyannote[577].speaker SPEAKER_11
transcript.pyannote[577].start 4845.18096875
transcript.pyannote[577].end 4847.77971875
transcript.pyannote[578].speaker SPEAKER_24
transcript.pyannote[578].start 4846.96971875
transcript.pyannote[578].end 4848.58971875
transcript.pyannote[579].speaker SPEAKER_24
transcript.pyannote[579].start 4848.72471875
transcript.pyannote[579].end 4849.21409375
transcript.pyannote[580].speaker SPEAKER_24
transcript.pyannote[580].start 4849.53471875
transcript.pyannote[580].end 4850.46284375
transcript.pyannote[581].speaker SPEAKER_24
transcript.pyannote[581].start 4852.09971875
transcript.pyannote[581].end 4853.43284375
transcript.pyannote[582].speaker SPEAKER_04
transcript.pyannote[582].start 4852.48784375
transcript.pyannote[582].end 4853.41596875
transcript.pyannote[583].speaker SPEAKER_04
transcript.pyannote[583].start 4853.43284375
transcript.pyannote[583].end 4854.00659375
transcript.pyannote[584].speaker SPEAKER_24
transcript.pyannote[584].start 4854.64784375
transcript.pyannote[584].end 4868.62034375
transcript.pyannote[585].speaker SPEAKER_24
transcript.pyannote[585].start 4869.05909375
transcript.pyannote[585].end 4869.31221875
transcript.pyannote[586].speaker SPEAKER_00
transcript.pyannote[586].start 4870.17284375
transcript.pyannote[586].end 4870.93221875
transcript.pyannote[587].speaker SPEAKER_00
transcript.pyannote[587].start 4871.08409375
transcript.pyannote[587].end 4877.56409375
transcript.pyannote[588].speaker SPEAKER_00
transcript.pyannote[588].start 4878.86346875
transcript.pyannote[588].end 4878.96471875
transcript.pyannote[589].speaker SPEAKER_04
transcript.pyannote[589].start 4878.96471875
transcript.pyannote[589].end 4879.03221875
transcript.pyannote[590].speaker SPEAKER_00
transcript.pyannote[590].start 4879.03221875
transcript.pyannote[590].end 4879.06596875
transcript.pyannote[591].speaker SPEAKER_04
transcript.pyannote[591].start 4879.06596875
transcript.pyannote[591].end 4879.47096875
transcript.pyannote[592].speaker SPEAKER_00
transcript.pyannote[592].start 4880.02784375
transcript.pyannote[592].end 4883.85846875
transcript.pyannote[593].speaker SPEAKER_00
transcript.pyannote[593].start 4884.24659375
transcript.pyannote[593].end 4896.07596875
transcript.pyannote[594].speaker SPEAKER_03
transcript.pyannote[594].start 4897.79721875
transcript.pyannote[594].end 4898.05034375
transcript.pyannote[595].speaker SPEAKER_00
transcript.pyannote[595].start 4900.32846875
transcript.pyannote[595].end 4900.34534375
transcript.pyannote[596].speaker SPEAKER_24
transcript.pyannote[596].start 4900.34534375
transcript.pyannote[596].end 4900.68284375
transcript.pyannote[597].speaker SPEAKER_00
transcript.pyannote[597].start 4901.44221875
transcript.pyannote[597].end 4901.45909375
transcript.pyannote[598].speaker SPEAKER_24
transcript.pyannote[598].start 4901.45909375
transcript.pyannote[598].end 4902.33659375
transcript.pyannote[599].speaker SPEAKER_24
transcript.pyannote[599].start 4903.12971875
transcript.pyannote[599].end 4906.63971875
transcript.pyannote[600].speaker SPEAKER_04
transcript.pyannote[600].start 4903.19721875
transcript.pyannote[600].end 4903.21409375
transcript.pyannote[601].speaker SPEAKER_17
transcript.pyannote[601].start 4903.21409375
transcript.pyannote[601].end 4903.78784375
transcript.pyannote[602].speaker SPEAKER_24
transcript.pyannote[602].start 4907.26409375
transcript.pyannote[602].end 4907.97284375
transcript.pyannote[603].speaker SPEAKER_04
transcript.pyannote[603].start 4907.97284375
transcript.pyannote[603].end 4908.02346875
transcript.pyannote[604].speaker SPEAKER_06
transcript.pyannote[604].start 4908.02346875
transcript.pyannote[604].end 4908.54659375
transcript.pyannote[605].speaker SPEAKER_04
transcript.pyannote[605].start 4908.54659375
transcript.pyannote[605].end 4908.56346875
transcript.pyannote[606].speaker SPEAKER_24
transcript.pyannote[606].start 4908.56346875
transcript.pyannote[606].end 4910.03159375
transcript.pyannote[607].speaker SPEAKER_04
transcript.pyannote[607].start 4908.58034375
transcript.pyannote[607].end 4909.47471875
transcript.pyannote[608].speaker SPEAKER_06
transcript.pyannote[608].start 4909.47471875
transcript.pyannote[608].end 4909.49159375
transcript.pyannote[609].speaker SPEAKER_06
transcript.pyannote[609].start 4910.03159375
transcript.pyannote[609].end 4910.04846875
transcript.pyannote[610].speaker SPEAKER_24
transcript.pyannote[610].start 4910.04846875
transcript.pyannote[610].end 4910.06534375
transcript.pyannote[611].speaker SPEAKER_06
transcript.pyannote[611].start 4910.06534375
transcript.pyannote[611].end 4910.21721875
transcript.pyannote[612].speaker SPEAKER_24
transcript.pyannote[612].start 4910.26784375
transcript.pyannote[612].end 4910.35221875
transcript.pyannote[613].speaker SPEAKER_06
transcript.pyannote[613].start 4910.35221875
transcript.pyannote[613].end 4915.39784375
transcript.pyannote[614].speaker SPEAKER_24
transcript.pyannote[614].start 4912.15784375
transcript.pyannote[614].end 4917.87846875
transcript.pyannote[615].speaker SPEAKER_06
transcript.pyannote[615].start 4915.90409375
transcript.pyannote[615].end 4916.05596875
transcript.pyannote[616].speaker SPEAKER_24
transcript.pyannote[616].start 4918.50284375
transcript.pyannote[616].end 4926.26534375
transcript.pyannote[617].speaker SPEAKER_24
transcript.pyannote[617].start 4927.09221875
transcript.pyannote[617].end 4935.90096875
transcript.pyannote[618].speaker SPEAKER_24
transcript.pyannote[618].start 4936.62659375
transcript.pyannote[618].end 4944.94596875
transcript.pyannote[619].speaker SPEAKER_24
transcript.pyannote[619].start 4945.62096875
transcript.pyannote[619].end 4952.57346875
transcript.pyannote[620].speaker SPEAKER_24
transcript.pyannote[620].start 4953.61971875
transcript.pyannote[620].end 4960.79159375
transcript.pyannote[621].speaker SPEAKER_04
transcript.pyannote[621].start 4961.01096875
transcript.pyannote[621].end 4961.56784375
transcript.pyannote[622].speaker SPEAKER_12
transcript.pyannote[622].start 4965.66846875
transcript.pyannote[622].end 4967.40659375
transcript.pyannote[623].speaker SPEAKER_12
transcript.pyannote[623].start 4967.67659375
transcript.pyannote[623].end 4968.80721875
transcript.pyannote[624].speaker SPEAKER_04
transcript.pyannote[624].start 4967.71034375
transcript.pyannote[624].end 4968.73971875
transcript.pyannote[625].speaker SPEAKER_04
transcript.pyannote[625].start 4968.80721875
transcript.pyannote[625].end 4969.85346875
transcript.pyannote[626].speaker SPEAKER_12
transcript.pyannote[626].start 4969.53284375
transcript.pyannote[626].end 4970.95034375
transcript.pyannote[627].speaker SPEAKER_04
transcript.pyannote[627].start 4970.62971875
transcript.pyannote[627].end 4971.33846875
transcript.pyannote[628].speaker SPEAKER_04
transcript.pyannote[628].start 4973.12721875
transcript.pyannote[628].end 4973.92034375
transcript.pyannote[629].speaker SPEAKER_04
transcript.pyannote[629].start 4974.89909375
transcript.pyannote[629].end 4974.96659375
transcript.pyannote[630].speaker SPEAKER_24
transcript.pyannote[630].start 4974.96659375
transcript.pyannote[630].end 4975.03409375
transcript.pyannote[631].speaker SPEAKER_04
transcript.pyannote[631].start 4975.03409375
transcript.pyannote[631].end 4975.96221875
transcript.pyannote[632].speaker SPEAKER_24
transcript.pyannote[632].start 4975.96221875
transcript.pyannote[632].end 4984.36596875
transcript.pyannote[633].speaker SPEAKER_24
transcript.pyannote[633].start 4984.90596875
transcript.pyannote[633].end 4992.48284375
transcript.pyannote[634].speaker SPEAKER_24
transcript.pyannote[634].start 4993.68096875
transcript.pyannote[634].end 4996.02659375
transcript.pyannote[635].speaker SPEAKER_05
transcript.pyannote[635].start 4996.02659375
transcript.pyannote[635].end 4996.71846875
transcript.pyannote[636].speaker SPEAKER_24
transcript.pyannote[636].start 4997.30909375
transcript.pyannote[636].end 4997.32596875
transcript.pyannote[637].speaker SPEAKER_05
transcript.pyannote[637].start 4997.32596875
transcript.pyannote[637].end 4998.03471875
transcript.pyannote[638].speaker SPEAKER_05
transcript.pyannote[638].start 4998.47346875
transcript.pyannote[638].end 5005.52721875
transcript.pyannote[639].speaker SPEAKER_13
transcript.pyannote[639].start 5005.52721875
transcript.pyannote[639].end 5005.72971875
transcript.pyannote[640].speaker SPEAKER_13
transcript.pyannote[640].start 5005.99971875
transcript.pyannote[640].end 5022.87471875
transcript.pyannote[641].speaker SPEAKER_13
transcript.pyannote[641].start 5023.07721875
transcript.pyannote[641].end 5031.21096875
transcript.pyannote[642].speaker SPEAKER_05
transcript.pyannote[642].start 5024.00534375
transcript.pyannote[642].end 5024.47784375
transcript.pyannote[643].speaker SPEAKER_05
transcript.pyannote[643].start 5025.11909375
transcript.pyannote[643].end 5025.86159375
transcript.pyannote[644].speaker SPEAKER_05
transcript.pyannote[644].start 5031.21096875
transcript.pyannote[644].end 5031.98721875
transcript.pyannote[645].speaker SPEAKER_13
transcript.pyannote[645].start 5031.61596875
transcript.pyannote[645].end 5034.68721875
transcript.pyannote[646].speaker SPEAKER_05
transcript.pyannote[646].start 5032.25721875
transcript.pyannote[646].end 5032.81409375
transcript.pyannote[647].speaker SPEAKER_13
transcript.pyannote[647].start 5034.97409375
transcript.pyannote[647].end 5036.13846875
transcript.pyannote[648].speaker SPEAKER_13
transcript.pyannote[648].start 5036.25659375
transcript.pyannote[648].end 5036.27346875
transcript.pyannote[649].speaker SPEAKER_05
transcript.pyannote[649].start 5036.27346875
transcript.pyannote[649].end 5036.96534375
transcript.pyannote[650].speaker SPEAKER_13
transcript.pyannote[650].start 5036.83034375
transcript.pyannote[650].end 5038.51784375
transcript.pyannote[651].speaker SPEAKER_04
transcript.pyannote[651].start 5036.96534375
transcript.pyannote[651].end 5038.45034375
transcript.pyannote[652].speaker SPEAKER_04
transcript.pyannote[652].start 5038.72034375
transcript.pyannote[652].end 5040.44159375
transcript.pyannote[653].speaker SPEAKER_04
transcript.pyannote[653].start 5042.83784375
transcript.pyannote[653].end 5043.64784375
transcript.pyannote[654].speaker SPEAKER_05
transcript.pyannote[654].start 5043.98534375
transcript.pyannote[654].end 5049.45284375
transcript.pyannote[655].speaker SPEAKER_05
transcript.pyannote[655].start 5049.94221875
transcript.pyannote[655].end 5050.71846875
transcript.pyannote[656].speaker SPEAKER_05
transcript.pyannote[656].start 5051.73096875
transcript.pyannote[656].end 5052.35534375
transcript.pyannote[657].speaker SPEAKER_05
transcript.pyannote[657].start 5052.77721875
transcript.pyannote[657].end 5056.33784375
transcript.pyannote[658].speaker SPEAKER_05
transcript.pyannote[658].start 5057.21534375
transcript.pyannote[658].end 5058.36284375
transcript.pyannote[659].speaker SPEAKER_05
transcript.pyannote[659].start 5058.68346875
transcript.pyannote[659].end 5059.45971875
transcript.pyannote[660].speaker SPEAKER_05
transcript.pyannote[660].start 5059.98284375
transcript.pyannote[660].end 5063.03721875
transcript.pyannote[661].speaker SPEAKER_12
transcript.pyannote[661].start 5063.03721875
transcript.pyannote[661].end 5088.41721875
transcript.pyannote[662].speaker SPEAKER_17
transcript.pyannote[662].start 5082.12284375
transcript.pyannote[662].end 5082.49409375
transcript.pyannote[663].speaker SPEAKER_17
transcript.pyannote[663].start 5083.67534375
transcript.pyannote[663].end 5083.81034375
transcript.pyannote[664].speaker SPEAKER_17
transcript.pyannote[664].start 5083.82721875
transcript.pyannote[664].end 5084.02971875
transcript.pyannote[665].speaker SPEAKER_07
transcript.pyannote[665].start 5084.02971875
transcript.pyannote[665].end 5084.65409375
transcript.pyannote[666].speaker SPEAKER_07
transcript.pyannote[666].start 5089.07534375
transcript.pyannote[666].end 5089.44659375
transcript.pyannote[667].speaker SPEAKER_04
transcript.pyannote[667].start 5096.19659375
transcript.pyannote[667].end 5096.53409375
transcript.pyannote[668].speaker SPEAKER_04
transcript.pyannote[668].start 5097.19221875
transcript.pyannote[668].end 5099.38596875
transcript.pyannote[669].speaker SPEAKER_05
transcript.pyannote[669].start 5099.03159375
transcript.pyannote[669].end 5099.23409375
transcript.pyannote[670].speaker SPEAKER_05
transcript.pyannote[670].start 5099.38596875
transcript.pyannote[670].end 5099.41971875
transcript.pyannote[671].speaker SPEAKER_04
transcript.pyannote[671].start 5101.88346875
transcript.pyannote[671].end 5101.90034375
transcript.pyannote[672].speaker SPEAKER_05
transcript.pyannote[672].start 5101.90034375
transcript.pyannote[672].end 5107.26659375
transcript.pyannote[673].speaker SPEAKER_05
transcript.pyannote[673].start 5107.58721875
transcript.pyannote[673].end 5107.77284375
transcript.pyannote[674].speaker SPEAKER_04
transcript.pyannote[674].start 5107.77284375
transcript.pyannote[674].end 5107.90784375
transcript.pyannote[675].speaker SPEAKER_05
transcript.pyannote[675].start 5107.90784375
transcript.pyannote[675].end 5115.43409375
transcript.pyannote[676].speaker SPEAKER_05
transcript.pyannote[676].start 5116.21034375
transcript.pyannote[676].end 5117.40846875
transcript.pyannote[677].speaker SPEAKER_05
transcript.pyannote[677].start 5118.23534375
transcript.pyannote[677].end 5123.23034375
transcript.pyannote[678].speaker SPEAKER_04
transcript.pyannote[678].start 5123.75346875
transcript.pyannote[678].end 5125.94721875
transcript.pyannote[679].speaker SPEAKER_04
transcript.pyannote[679].start 5128.41096875
transcript.pyannote[679].end 5129.27159375
transcript.pyannote[680].speaker SPEAKER_04
transcript.pyannote[680].start 5132.73096875
transcript.pyannote[680].end 5136.98346875
transcript.pyannote[681].speaker SPEAKER_05
transcript.pyannote[681].start 5133.89534375
transcript.pyannote[681].end 5134.73909375
transcript.pyannote[682].speaker SPEAKER_04
transcript.pyannote[682].start 5137.21971875
transcript.pyannote[682].end 5137.23659375
transcript.pyannote[683].speaker SPEAKER_05
transcript.pyannote[683].start 5137.23659375
transcript.pyannote[683].end 5139.34596875
transcript.pyannote[684].speaker SPEAKER_05
transcript.pyannote[684].start 5140.07159375
transcript.pyannote[684].end 5148.55971875
transcript.pyannote[685].speaker SPEAKER_04
transcript.pyannote[685].start 5143.39596875
transcript.pyannote[685].end 5144.29034375
transcript.pyannote[686].speaker SPEAKER_04
transcript.pyannote[686].start 5144.67846875
transcript.pyannote[686].end 5146.04534375
transcript.pyannote[687].speaker SPEAKER_05
transcript.pyannote[687].start 5149.43721875
transcript.pyannote[687].end 5150.02784375
transcript.pyannote[688].speaker SPEAKER_04
transcript.pyannote[688].start 5150.02784375
transcript.pyannote[688].end 5150.04471875
transcript.pyannote[689].speaker SPEAKER_05
transcript.pyannote[689].start 5150.04471875
transcript.pyannote[689].end 5150.07846875
transcript.pyannote[690].speaker SPEAKER_04
transcript.pyannote[690].start 5150.07846875
transcript.pyannote[690].end 5150.82096875
transcript.pyannote[691].speaker SPEAKER_05
transcript.pyannote[691].start 5150.82096875
transcript.pyannote[691].end 5150.85471875
transcript.pyannote[692].speaker SPEAKER_05
transcript.pyannote[692].start 5151.12471875
transcript.pyannote[692].end 5153.62221875
transcript.pyannote[693].speaker SPEAKER_05
transcript.pyannote[693].start 5153.75721875
transcript.pyannote[693].end 5155.20846875
transcript.pyannote[694].speaker SPEAKER_05
transcript.pyannote[694].start 5155.46159375
transcript.pyannote[694].end 5156.35596875
transcript.pyannote[695].speaker SPEAKER_05
transcript.pyannote[695].start 5156.98034375
transcript.pyannote[695].end 5157.03096875
transcript.pyannote[696].speaker SPEAKER_04
transcript.pyannote[696].start 5157.03096875
transcript.pyannote[696].end 5157.11534375
transcript.pyannote[697].speaker SPEAKER_05
transcript.pyannote[697].start 5157.11534375
transcript.pyannote[697].end 5158.19534375
transcript.pyannote[698].speaker SPEAKER_04
transcript.pyannote[698].start 5157.13221875
transcript.pyannote[698].end 5160.79409375
transcript.pyannote[699].speaker SPEAKER_04
transcript.pyannote[699].start 5161.23284375
transcript.pyannote[699].end 5161.24971875
transcript.pyannote[700].speaker SPEAKER_05
transcript.pyannote[700].start 5161.24971875
transcript.pyannote[700].end 5163.88221875
transcript.pyannote[701].speaker SPEAKER_04
transcript.pyannote[701].start 5161.35096875
transcript.pyannote[701].end 5161.60409375
transcript.pyannote[702].speaker SPEAKER_05
transcript.pyannote[702].start 5164.27034375
transcript.pyannote[702].end 5166.61596875
transcript.pyannote[703].speaker SPEAKER_05
transcript.pyannote[703].start 5167.20659375
transcript.pyannote[703].end 5172.99471875
transcript.pyannote[704].speaker SPEAKER_04
transcript.pyannote[704].start 5168.05034375
transcript.pyannote[704].end 5169.48471875
transcript.pyannote[705].speaker SPEAKER_04
transcript.pyannote[705].start 5170.24409375
transcript.pyannote[705].end 5172.96096875
transcript.pyannote[706].speaker SPEAKER_04
transcript.pyannote[706].start 5172.99471875
transcript.pyannote[706].end 5174.81721875
transcript.pyannote[707].speaker SPEAKER_05
transcript.pyannote[707].start 5175.05346875
transcript.pyannote[707].end 5177.46659375
transcript.pyannote[708].speaker SPEAKER_05
transcript.pyannote[708].start 5178.39471875
transcript.pyannote[708].end 5183.82846875
transcript.pyannote[709].speaker SPEAKER_04
transcript.pyannote[709].start 5182.76534375
transcript.pyannote[709].end 5184.21659375
transcript.pyannote[710].speaker SPEAKER_05
transcript.pyannote[710].start 5185.22909375
transcript.pyannote[710].end 5190.12284375
transcript.pyannote[711].speaker SPEAKER_04
transcript.pyannote[711].start 5190.54471875
transcript.pyannote[711].end 5197.76721875
transcript.pyannote[712].speaker SPEAKER_05
transcript.pyannote[712].start 5194.18971875
transcript.pyannote[712].end 5194.40909375
transcript.pyannote[713].speaker SPEAKER_17
transcript.pyannote[713].start 5197.12596875
transcript.pyannote[713].end 5197.17659375
transcript.pyannote[714].speaker SPEAKER_01
transcript.pyannote[714].start 5197.17659375
transcript.pyannote[714].end 5197.24409375
transcript.pyannote[715].speaker SPEAKER_17
transcript.pyannote[715].start 5197.24409375
transcript.pyannote[715].end 5197.64909375
transcript.pyannote[716].speaker SPEAKER_17
transcript.pyannote[716].start 5197.76721875
transcript.pyannote[716].end 5199.31971875
transcript.pyannote[717].speaker SPEAKER_01
transcript.pyannote[717].start 5199.31971875
transcript.pyannote[717].end 5200.14659375
transcript.pyannote[718].speaker SPEAKER_17
transcript.pyannote[718].start 5200.14659375
transcript.pyannote[718].end 5201.96909375
transcript.pyannote[719].speaker SPEAKER_01
transcript.pyannote[719].start 5201.96909375
transcript.pyannote[719].end 5202.27284375
transcript.pyannote[720].speaker SPEAKER_01
transcript.pyannote[720].start 5202.30659375
transcript.pyannote[720].end 5202.35721875
transcript.pyannote[721].speaker SPEAKER_17
transcript.pyannote[721].start 5202.35721875
transcript.pyannote[721].end 5202.37409375
transcript.pyannote[722].speaker SPEAKER_05
transcript.pyannote[722].start 5202.37409375
transcript.pyannote[722].end 5202.39096875
transcript.pyannote[723].speaker SPEAKER_04
transcript.pyannote[723].start 5202.39096875
transcript.pyannote[723].end 5202.44159375
transcript.pyannote[724].speaker SPEAKER_05
transcript.pyannote[724].start 5202.44159375
transcript.pyannote[724].end 5202.47534375
transcript.pyannote[725].speaker SPEAKER_04
transcript.pyannote[725].start 5202.47534375
transcript.pyannote[725].end 5202.52596875
transcript.pyannote[726].speaker SPEAKER_05
transcript.pyannote[726].start 5202.52596875
transcript.pyannote[726].end 5202.61034375
transcript.pyannote[727].speaker SPEAKER_04
transcript.pyannote[727].start 5202.61034375
transcript.pyannote[727].end 5202.96471875
transcript.pyannote[728].speaker SPEAKER_05
transcript.pyannote[728].start 5202.96471875
transcript.pyannote[728].end 5203.13346875
transcript.pyannote[729].speaker SPEAKER_04
transcript.pyannote[729].start 5203.13346875
transcript.pyannote[729].end 5203.15034375
transcript.pyannote[730].speaker SPEAKER_05
transcript.pyannote[730].start 5203.15034375
transcript.pyannote[730].end 5203.28534375
transcript.pyannote[731].speaker SPEAKER_04
transcript.pyannote[731].start 5203.28534375
transcript.pyannote[731].end 5203.33596875
transcript.pyannote[732].speaker SPEAKER_04
transcript.pyannote[732].start 5203.53846875
transcript.pyannote[732].end 5203.57221875
transcript.pyannote[733].speaker SPEAKER_05
transcript.pyannote[733].start 5203.57221875
transcript.pyannote[733].end 5203.97721875
transcript.pyannote[734].speaker SPEAKER_04
transcript.pyannote[734].start 5203.97721875
transcript.pyannote[734].end 5204.02784375
transcript.pyannote[735].speaker SPEAKER_04
transcript.pyannote[735].start 5204.53409375
transcript.pyannote[735].end 5208.95534375
transcript.pyannote[736].speaker SPEAKER_05
transcript.pyannote[736].start 5208.51659375
transcript.pyannote[736].end 5213.52846875
transcript.pyannote[737].speaker SPEAKER_04
transcript.pyannote[737].start 5211.82409375
transcript.pyannote[737].end 5211.84096875
transcript.pyannote[738].speaker SPEAKER_02
transcript.pyannote[738].start 5211.84096875
transcript.pyannote[738].end 5211.85784375
transcript.pyannote[739].speaker SPEAKER_04
transcript.pyannote[739].start 5211.85784375
transcript.pyannote[739].end 5212.26284375
transcript.pyannote[740].speaker SPEAKER_02
transcript.pyannote[740].start 5212.26284375
transcript.pyannote[740].end 5212.43159375
transcript.pyannote[741].speaker SPEAKER_02
transcript.pyannote[741].start 5213.52846875
transcript.pyannote[741].end 5214.01784375
transcript.pyannote[742].speaker SPEAKER_02
transcript.pyannote[742].start 5214.91221875
transcript.pyannote[742].end 5215.35096875
transcript.pyannote[743].speaker SPEAKER_02
transcript.pyannote[743].start 5215.73909375
transcript.pyannote[743].end 5226.89346875
transcript.pyannote[744].speaker SPEAKER_07
transcript.pyannote[744].start 5231.04471875
transcript.pyannote[744].end 5236.05659375
transcript.pyannote[745].speaker SPEAKER_04
transcript.pyannote[745].start 5238.92534375
transcript.pyannote[745].end 5241.13596875
transcript.pyannote[746].speaker SPEAKER_17
transcript.pyannote[746].start 5241.84471875
transcript.pyannote[746].end 5242.04721875
transcript.pyannote[747].speaker SPEAKER_04
transcript.pyannote[747].start 5242.97534375
transcript.pyannote[747].end 5244.24096875
transcript.pyannote[748].speaker SPEAKER_17
transcript.pyannote[748].start 5244.84846875
transcript.pyannote[748].end 5246.06346875
transcript.pyannote[749].speaker SPEAKER_04
transcript.pyannote[749].start 5247.17721875
transcript.pyannote[749].end 5250.55221875
transcript.pyannote[750].speaker SPEAKER_04
transcript.pyannote[750].start 5251.81784375
transcript.pyannote[750].end 5251.83471875
transcript.pyannote[751].speaker SPEAKER_22
transcript.pyannote[751].start 5251.83471875
transcript.pyannote[751].end 5252.76284375
transcript.pyannote[752].speaker SPEAKER_22
transcript.pyannote[752].start 5253.33659375
transcript.pyannote[752].end 5289.22971875
transcript.pyannote[753].speaker SPEAKER_22
transcript.pyannote[753].start 5289.44909375
transcript.pyannote[753].end 5303.77596875
transcript.pyannote[754].speaker SPEAKER_22
transcript.pyannote[754].start 5304.43409375
transcript.pyannote[754].end 5309.27721875
transcript.pyannote[755].speaker SPEAKER_22
transcript.pyannote[755].start 5309.66534375
transcript.pyannote[755].end 5316.06096875
transcript.pyannote[756].speaker SPEAKER_22
transcript.pyannote[756].start 5316.56721875
transcript.pyannote[756].end 5324.59971875
transcript.pyannote[757].speaker SPEAKER_22
transcript.pyannote[757].start 5324.95409375
transcript.pyannote[757].end 5335.24784375
transcript.pyannote[758].speaker SPEAKER_22
transcript.pyannote[758].start 5335.48409375
transcript.pyannote[758].end 5343.04409375
transcript.pyannote[759].speaker SPEAKER_22
transcript.pyannote[759].start 5343.24659375
transcript.pyannote[759].end 5346.31784375
transcript.pyannote[760].speaker SPEAKER_22
transcript.pyannote[760].start 5347.16159375
transcript.pyannote[760].end 5351.19471875
transcript.pyannote[761].speaker SPEAKER_22
transcript.pyannote[761].start 5351.73471875
transcript.pyannote[761].end 5352.49409375
transcript.pyannote[762].speaker SPEAKER_22
transcript.pyannote[762].start 5352.76409375
transcript.pyannote[762].end 5360.25659375
transcript.pyannote[763].speaker SPEAKER_24
transcript.pyannote[763].start 5361.43784375
transcript.pyannote[763].end 5411.75909375
transcript.pyannote[764].speaker SPEAKER_22
transcript.pyannote[764].start 5365.92659375
transcript.pyannote[764].end 5366.29784375
transcript.pyannote[765].speaker SPEAKER_22
transcript.pyannote[765].start 5411.75909375
transcript.pyannote[765].end 5414.23971875
transcript.pyannote[766].speaker SPEAKER_24
transcript.pyannote[766].start 5412.75471875
transcript.pyannote[766].end 5414.99909375
transcript.pyannote[767].speaker SPEAKER_24
transcript.pyannote[767].start 5415.28596875
transcript.pyannote[767].end 5415.58971875
transcript.pyannote[768].speaker SPEAKER_22
transcript.pyannote[768].start 5415.58971875
transcript.pyannote[768].end 5415.60659375
transcript.pyannote[769].speaker SPEAKER_24
transcript.pyannote[769].start 5415.60659375
transcript.pyannote[769].end 5415.64034375
transcript.pyannote[770].speaker SPEAKER_22
transcript.pyannote[770].start 5415.64034375
transcript.pyannote[770].end 5415.65721875
transcript.pyannote[771].speaker SPEAKER_24
transcript.pyannote[771].start 5415.65721875
transcript.pyannote[771].end 5415.72471875
transcript.pyannote[772].speaker SPEAKER_22
transcript.pyannote[772].start 5415.72471875
transcript.pyannote[772].end 5415.75846875
transcript.pyannote[773].speaker SPEAKER_24
transcript.pyannote[773].start 5415.75846875
transcript.pyannote[773].end 5416.04534375
transcript.pyannote[774].speaker SPEAKER_22
transcript.pyannote[774].start 5416.04534375
transcript.pyannote[774].end 5426.52471875
transcript.pyannote[775].speaker SPEAKER_24
transcript.pyannote[775].start 5416.09596875
transcript.pyannote[775].end 5417.26034375
transcript.pyannote[776].speaker SPEAKER_17
transcript.pyannote[776].start 5427.03096875
transcript.pyannote[776].end 5428.85346875
transcript.pyannote[777].speaker SPEAKER_22
transcript.pyannote[777].start 5427.23346875
transcript.pyannote[777].end 5453.10284375
transcript.pyannote[778].speaker SPEAKER_22
transcript.pyannote[778].start 5453.62596875
transcript.pyannote[778].end 5454.33471875
transcript.pyannote[779].speaker SPEAKER_22
transcript.pyannote[779].start 5454.72284375
transcript.pyannote[779].end 5465.03346875
transcript.pyannote[780].speaker SPEAKER_24
transcript.pyannote[780].start 5464.74659375
transcript.pyannote[780].end 5472.20534375
transcript.pyannote[781].speaker SPEAKER_24
transcript.pyannote[781].start 5472.52596875
transcript.pyannote[781].end 5472.82971875
transcript.pyannote[782].speaker SPEAKER_22
transcript.pyannote[782].start 5473.97721875
transcript.pyannote[782].end 5480.76096875
transcript.pyannote[783].speaker SPEAKER_24
transcript.pyannote[783].start 5477.25096875
transcript.pyannote[783].end 5478.09471875
transcript.pyannote[784].speaker SPEAKER_24
transcript.pyannote[784].start 5479.88346875
transcript.pyannote[784].end 5486.92034375
transcript.pyannote[785].speaker SPEAKER_22
transcript.pyannote[785].start 5485.80659375
transcript.pyannote[785].end 5489.60346875
transcript.pyannote[786].speaker SPEAKER_24
transcript.pyannote[786].start 5487.91596875
transcript.pyannote[786].end 5501.29784375
transcript.pyannote[787].speaker SPEAKER_24
transcript.pyannote[787].start 5501.85471875
transcript.pyannote[787].end 5502.56346875
transcript.pyannote[788].speaker SPEAKER_24
transcript.pyannote[788].start 5502.98534375
transcript.pyannote[788].end 5503.25534375
transcript.pyannote[789].speaker SPEAKER_22
transcript.pyannote[789].start 5503.60971875
transcript.pyannote[789].end 5505.28034375
transcript.pyannote[790].speaker SPEAKER_24
transcript.pyannote[790].start 5505.92159375
transcript.pyannote[790].end 5507.03534375
transcript.pyannote[791].speaker SPEAKER_04
transcript.pyannote[791].start 5507.03534375
transcript.pyannote[791].end 5507.08596875
transcript.pyannote[792].speaker SPEAKER_04
transcript.pyannote[792].start 5507.35596875
transcript.pyannote[792].end 5507.37284375
transcript.pyannote[793].speaker SPEAKER_24
transcript.pyannote[793].start 5507.37284375
transcript.pyannote[793].end 5507.40659375
transcript.pyannote[794].speaker SPEAKER_04
transcript.pyannote[794].start 5507.40659375
transcript.pyannote[794].end 5507.99721875
transcript.pyannote[795].speaker SPEAKER_04
transcript.pyannote[795].start 5508.85784375
transcript.pyannote[795].end 5510.07284375
transcript.pyannote[796].speaker SPEAKER_04
transcript.pyannote[796].start 5510.35971875
transcript.pyannote[796].end 5512.73909375
transcript.pyannote[797].speaker SPEAKER_04
transcript.pyannote[797].start 5513.09346875
transcript.pyannote[797].end 5517.75096875
transcript.pyannote[798].speaker SPEAKER_04
transcript.pyannote[798].start 5518.12221875
transcript.pyannote[798].end 5518.22346875
transcript.pyannote[799].speaker SPEAKER_04
transcript.pyannote[799].start 5518.88159375
transcript.pyannote[799].end 5522.30721875
transcript.pyannote[800].speaker SPEAKER_04
transcript.pyannote[800].start 5523.28596875
transcript.pyannote[800].end 5523.30284375
transcript.pyannote[801].speaker SPEAKER_24
transcript.pyannote[801].start 5523.30284375
transcript.pyannote[801].end 5527.26846875
transcript.pyannote[802].speaker SPEAKER_24
transcript.pyannote[802].start 5528.14596875
transcript.pyannote[802].end 5529.20909375
transcript.pyannote[803].speaker SPEAKER_09
transcript.pyannote[803].start 5532.21284375
transcript.pyannote[803].end 5538.28784375
transcript.pyannote[804].speaker SPEAKER_09
transcript.pyannote[804].start 5538.60846875
transcript.pyannote[804].end 5577.23534375
transcript.pyannote[805].speaker SPEAKER_09
transcript.pyannote[805].start 5577.75846875
transcript.pyannote[805].end 5582.31471875
transcript.pyannote[806].speaker SPEAKER_09
transcript.pyannote[806].start 5582.43284375
transcript.pyannote[806].end 5643.16596875
transcript.pyannote[807].speaker SPEAKER_09
transcript.pyannote[807].start 5643.63846875
transcript.pyannote[807].end 5665.89659375
transcript.pyannote[808].speaker SPEAKER_09
transcript.pyannote[808].start 5666.77409375
transcript.pyannote[808].end 5666.80784375
transcript.pyannote[809].speaker SPEAKER_13
transcript.pyannote[809].start 5666.80784375
transcript.pyannote[809].end 5668.64721875
transcript.pyannote[810].speaker SPEAKER_13
transcript.pyannote[810].start 5668.66409375
transcript.pyannote[810].end 5698.48221875
transcript.pyannote[811].speaker SPEAKER_13
transcript.pyannote[811].start 5698.88721875
transcript.pyannote[811].end 5700.96284375
transcript.pyannote[812].speaker SPEAKER_09
transcript.pyannote[812].start 5700.96284375
transcript.pyannote[812].end 5706.19409375
transcript.pyannote[813].speaker SPEAKER_13
transcript.pyannote[813].start 5705.94096875
transcript.pyannote[813].end 5717.02784375
transcript.pyannote[814].speaker SPEAKER_09
transcript.pyannote[814].start 5706.80159375
transcript.pyannote[814].end 5707.15596875
transcript.pyannote[815].speaker SPEAKER_09
transcript.pyannote[815].start 5708.69159375
transcript.pyannote[815].end 5709.14721875
transcript.pyannote[816].speaker SPEAKER_13
transcript.pyannote[816].start 5717.14596875
transcript.pyannote[816].end 5725.66784375
transcript.pyannote[817].speaker SPEAKER_13
transcript.pyannote[817].start 5726.71409375
transcript.pyannote[817].end 5727.35534375
transcript.pyannote[818].speaker SPEAKER_13
transcript.pyannote[818].start 5728.30034375
transcript.pyannote[818].end 5738.64471875
transcript.pyannote[819].speaker SPEAKER_09
transcript.pyannote[819].start 5731.03409375
transcript.pyannote[819].end 5731.32096875
transcript.pyannote[820].speaker SPEAKER_09
transcript.pyannote[820].start 5738.64471875
transcript.pyannote[820].end 5767.41659375
transcript.pyannote[821].speaker SPEAKER_13
transcript.pyannote[821].start 5738.69534375
transcript.pyannote[821].end 5739.03284375
transcript.pyannote[822].speaker SPEAKER_13
transcript.pyannote[822].start 5766.38721875
transcript.pyannote[822].end 5771.83784375
transcript.pyannote[823].speaker SPEAKER_09
transcript.pyannote[823].start 5770.96034375
transcript.pyannote[823].end 5771.31471875
transcript.pyannote[824].speaker SPEAKER_13
transcript.pyannote[824].start 5772.49596875
transcript.pyannote[824].end 5773.01909375
transcript.pyannote[825].speaker SPEAKER_13
transcript.pyannote[825].start 5773.62659375
transcript.pyannote[825].end 5776.09034375
transcript.pyannote[826].speaker SPEAKER_13
transcript.pyannote[826].start 5777.38971875
transcript.pyannote[826].end 5778.14909375
transcript.pyannote[827].speaker SPEAKER_21
transcript.pyannote[827].start 5778.14909375
transcript.pyannote[827].end 5814.97034375
transcript.pyannote[828].speaker SPEAKER_13
transcript.pyannote[828].start 5778.16596875
transcript.pyannote[828].end 5778.63846875
transcript.pyannote[829].speaker SPEAKER_13
transcript.pyannote[829].start 5780.83221875
transcript.pyannote[829].end 5781.08534375
transcript.pyannote[830].speaker SPEAKER_13
transcript.pyannote[830].start 5781.49034375
transcript.pyannote[830].end 5783.66721875
transcript.pyannote[831].speaker SPEAKER_13
transcript.pyannote[831].start 5784.57846875
transcript.pyannote[831].end 5784.91596875
transcript.pyannote[832].speaker SPEAKER_00
transcript.pyannote[832].start 5813.94096875
transcript.pyannote[832].end 5814.73409375
transcript.pyannote[833].speaker SPEAKER_21
transcript.pyannote[833].start 5815.81409375
transcript.pyannote[833].end 5823.55971875
transcript.pyannote[834].speaker SPEAKER_09
transcript.pyannote[834].start 5823.55971875
transcript.pyannote[834].end 5825.56784375
transcript.pyannote[835].speaker SPEAKER_09
transcript.pyannote[835].start 5826.47909375
transcript.pyannote[835].end 5837.12721875
transcript.pyannote[836].speaker SPEAKER_13
transcript.pyannote[836].start 5836.87409375
transcript.pyannote[836].end 5845.36221875
transcript.pyannote[837].speaker SPEAKER_13
transcript.pyannote[837].start 5846.05409375
transcript.pyannote[837].end 5848.09596875
transcript.pyannote[838].speaker SPEAKER_13
transcript.pyannote[838].start 5848.78784375
transcript.pyannote[838].end 5854.96409375
transcript.pyannote[839].speaker SPEAKER_09
transcript.pyannote[839].start 5854.96409375
transcript.pyannote[839].end 5864.58284375
transcript.pyannote[840].speaker SPEAKER_01
transcript.pyannote[840].start 5863.48596875
transcript.pyannote[840].end 5867.92409375
transcript.pyannote[841].speaker SPEAKER_01
transcript.pyannote[841].start 5868.54846875
transcript.pyannote[841].end 5872.29471875
transcript.pyannote[842].speaker SPEAKER_01
transcript.pyannote[842].start 5872.69971875
transcript.pyannote[842].end 5875.66971875
transcript.pyannote[843].speaker SPEAKER_01
transcript.pyannote[843].start 5875.78784375
transcript.pyannote[843].end 5879.16284375
transcript.pyannote[844].speaker SPEAKER_01
transcript.pyannote[844].start 5879.55096875
transcript.pyannote[844].end 5885.87909375
transcript.pyannote[845].speaker SPEAKER_01
transcript.pyannote[845].start 5886.13221875
transcript.pyannote[845].end 5887.09409375
transcript.pyannote[846].speaker SPEAKER_01
transcript.pyannote[846].start 5887.81971875
transcript.pyannote[846].end 5889.43971875
transcript.pyannote[847].speaker SPEAKER_01
transcript.pyannote[847].start 5889.84471875
transcript.pyannote[847].end 5889.97971875
transcript.pyannote[848].speaker SPEAKER_01
transcript.pyannote[848].start 5890.60409375
transcript.pyannote[848].end 5893.43909375
transcript.pyannote[849].speaker SPEAKER_01
transcript.pyannote[849].start 5893.96221875
transcript.pyannote[849].end 5896.05471875
transcript.pyannote[850].speaker SPEAKER_01
transcript.pyannote[850].start 5896.67909375
transcript.pyannote[850].end 5906.39909375
transcript.pyannote[851].speaker SPEAKER_00
transcript.pyannote[851].start 5904.32346875
transcript.pyannote[851].end 5904.40784375
transcript.pyannote[852].speaker SPEAKER_01
transcript.pyannote[852].start 5906.83784375
transcript.pyannote[852].end 5910.06096875
transcript.pyannote[853].speaker SPEAKER_01
transcript.pyannote[853].start 5910.49971875
transcript.pyannote[853].end 5912.98034375
transcript.pyannote[854].speaker SPEAKER_01
transcript.pyannote[854].start 5913.18284375
transcript.pyannote[854].end 5919.64596875
transcript.pyannote[855].speaker SPEAKER_04
transcript.pyannote[855].start 5919.64596875
transcript.pyannote[855].end 5924.59034375
transcript.pyannote[856].speaker SPEAKER_09
transcript.pyannote[856].start 5924.91096875
transcript.pyannote[856].end 5926.39596875
transcript.pyannote[857].speaker SPEAKER_04
transcript.pyannote[857].start 5926.39596875
transcript.pyannote[857].end 5928.85971875
transcript.pyannote[858].speaker SPEAKER_04
transcript.pyannote[858].start 5930.00721875
transcript.pyannote[858].end 5931.42471875
transcript.pyannote[859].speaker SPEAKER_13
transcript.pyannote[859].start 5930.98596875
transcript.pyannote[859].end 5931.35721875
transcript.pyannote[860].speaker SPEAKER_04
transcript.pyannote[860].start 5931.74534375
transcript.pyannote[860].end 5932.06596875
transcript.pyannote[861].speaker SPEAKER_13
transcript.pyannote[861].start 5932.03221875
transcript.pyannote[861].end 5932.04909375
transcript.pyannote[862].speaker SPEAKER_13
transcript.pyannote[862].start 5932.06596875
transcript.pyannote[862].end 5932.45409375
transcript.pyannote[863].speaker SPEAKER_13
transcript.pyannote[863].start 5932.69034375
transcript.pyannote[863].end 5937.02721875
transcript.pyannote[864].speaker SPEAKER_04
transcript.pyannote[864].start 5937.60096875
transcript.pyannote[864].end 5939.22096875
transcript.pyannote[865].speaker SPEAKER_04
transcript.pyannote[865].start 5939.52471875
transcript.pyannote[865].end 5946.40971875
transcript.pyannote[866].speaker SPEAKER_04
transcript.pyannote[866].start 5946.91596875
transcript.pyannote[866].end 5961.79971875
transcript.pyannote[867].speaker SPEAKER_09
transcript.pyannote[867].start 5948.08034375
transcript.pyannote[867].end 5948.35034375
transcript.pyannote[868].speaker SPEAKER_09
transcript.pyannote[868].start 5950.98284375
transcript.pyannote[868].end 5951.48909375
transcript.pyannote[869].speaker SPEAKER_00
transcript.pyannote[869].start 5951.48909375
transcript.pyannote[869].end 5951.52284375
transcript.pyannote[870].speaker SPEAKER_00
transcript.pyannote[870].start 5953.41284375
transcript.pyannote[870].end 5953.98659375
transcript.pyannote[871].speaker SPEAKER_04
transcript.pyannote[871].start 5962.87971875
transcript.pyannote[871].end 5963.03159375
transcript.pyannote[872].speaker SPEAKER_04
transcript.pyannote[872].start 5963.58846875
transcript.pyannote[872].end 5971.31721875
transcript.pyannote[873].speaker SPEAKER_09
transcript.pyannote[873].start 5971.45221875
transcript.pyannote[873].end 5972.46471875
transcript.pyannote[874].speaker SPEAKER_04
transcript.pyannote[874].start 5971.67159375
transcript.pyannote[874].end 5973.03846875
transcript.pyannote[875].speaker SPEAKER_04
transcript.pyannote[875].start 5973.35909375
transcript.pyannote[875].end 5974.03409375
transcript.pyannote[876].speaker SPEAKER_13
transcript.pyannote[876].start 5974.32096875
transcript.pyannote[876].end 5974.48971875
transcript.pyannote[877].speaker SPEAKER_09
transcript.pyannote[877].start 5975.67096875
transcript.pyannote[877].end 5975.70471875
transcript.pyannote[878].speaker SPEAKER_13
transcript.pyannote[878].start 5975.70471875
transcript.pyannote[878].end 5975.78909375
transcript.pyannote[879].speaker SPEAKER_09
transcript.pyannote[879].start 5975.78909375
transcript.pyannote[879].end 5975.80596875
transcript.pyannote[880].speaker SPEAKER_04
transcript.pyannote[880].start 5975.80596875
transcript.pyannote[880].end 5978.57346875
transcript.pyannote[881].speaker SPEAKER_13
transcript.pyannote[881].start 5976.56534375
transcript.pyannote[881].end 5977.20659375
transcript.pyannote[882].speaker SPEAKER_13
transcript.pyannote[882].start 5978.08409375
transcript.pyannote[882].end 5989.03596875
transcript.pyannote[883].speaker SPEAKER_04
transcript.pyannote[883].start 5984.46284375
transcript.pyannote[883].end 5985.17159375
transcript.pyannote[884].speaker SPEAKER_00
transcript.pyannote[884].start 5985.17159375
transcript.pyannote[884].end 5985.20534375
transcript.pyannote[885].speaker SPEAKER_13
transcript.pyannote[885].start 5989.47471875
transcript.pyannote[885].end 5990.94284375
transcript.pyannote[886].speaker SPEAKER_10
transcript.pyannote[886].start 5991.93846875
transcript.pyannote[886].end 5992.22534375
transcript.pyannote[887].speaker SPEAKER_13
transcript.pyannote[887].start 5992.96784375
transcript.pyannote[887].end 5993.76096875
transcript.pyannote[888].speaker SPEAKER_13
transcript.pyannote[888].start 5994.19971875
transcript.pyannote[888].end 5994.40221875
transcript.pyannote[889].speaker SPEAKER_13
transcript.pyannote[889].start 5994.95909375
transcript.pyannote[889].end 6010.29846875
transcript.pyannote[890].speaker SPEAKER_13
transcript.pyannote[890].start 6010.83846875
transcript.pyannote[890].end 6015.00659375
transcript.pyannote[891].speaker SPEAKER_13
transcript.pyannote[891].start 6015.41159375
transcript.pyannote[891].end 6016.33971875
transcript.pyannote[892].speaker SPEAKER_13
transcript.pyannote[892].start 6017.11596875
transcript.pyannote[892].end 6020.47409375
transcript.pyannote[893].speaker SPEAKER_13
transcript.pyannote[893].start 6020.79471875
transcript.pyannote[893].end 6023.93346875
transcript.pyannote[894].speaker SPEAKER_13
transcript.pyannote[894].start 6024.87846875
transcript.pyannote[894].end 6025.41846875
transcript.pyannote[895].speaker SPEAKER_17
transcript.pyannote[895].start 6026.83596875
transcript.pyannote[895].end 6027.61221875
transcript.pyannote[896].speaker SPEAKER_09
transcript.pyannote[896].start 6027.47721875
transcript.pyannote[896].end 6052.63784375
transcript.pyannote[897].speaker SPEAKER_04
transcript.pyannote[897].start 6052.63784375
transcript.pyannote[897].end 6052.99221875
transcript.pyannote[898].speaker SPEAKER_04
transcript.pyannote[898].start 6054.12284375
transcript.pyannote[898].end 6058.08846875
transcript.pyannote[899].speaker SPEAKER_04
transcript.pyannote[899].start 6059.11784375
transcript.pyannote[899].end 6060.14721875
transcript.pyannote[900].speaker SPEAKER_07
transcript.pyannote[900].start 6060.14721875
transcript.pyannote[900].end 6060.19784375
transcript.pyannote[901].speaker SPEAKER_07
transcript.pyannote[901].start 6062.67846875
transcript.pyannote[901].end 6075.11534375
transcript.pyannote[902].speaker SPEAKER_07
transcript.pyannote[902].start 6076.02659375
transcript.pyannote[902].end 6081.69659375
transcript.pyannote[903].speaker SPEAKER_04
transcript.pyannote[903].start 6082.25346875
transcript.pyannote[903].end 6083.58659375
transcript.pyannote[904].speaker SPEAKER_07
transcript.pyannote[904].start 6083.97471875
transcript.pyannote[904].end 6084.16034375
transcript.pyannote[905].speaker SPEAKER_04
transcript.pyannote[905].start 6084.16034375
transcript.pyannote[905].end 6084.19409375
transcript.pyannote[906].speaker SPEAKER_07
transcript.pyannote[906].start 6084.19409375
transcript.pyannote[906].end 6084.21096875
transcript.pyannote[907].speaker SPEAKER_07
transcript.pyannote[907].start 6084.78471875
transcript.pyannote[907].end 6085.35846875
transcript.pyannote[908].speaker SPEAKER_07
transcript.pyannote[908].start 6086.06721875
transcript.pyannote[908].end 6092.68221875
transcript.pyannote[909].speaker SPEAKER_07
transcript.pyannote[909].start 6092.96909375
transcript.pyannote[909].end 6094.57221875
transcript.pyannote[910].speaker SPEAKER_04
transcript.pyannote[910].start 6094.06596875
transcript.pyannote[910].end 6095.34846875
transcript.pyannote[911].speaker SPEAKER_07
transcript.pyannote[911].start 6101.30534375
transcript.pyannote[911].end 6193.18971875
transcript.pyannote[912].speaker SPEAKER_19
transcript.pyannote[912].start 6197.25659375
transcript.pyannote[912].end 6197.67846875
transcript.pyannote[913].speaker SPEAKER_19
transcript.pyannote[913].start 6197.79659375
transcript.pyannote[913].end 6198.47159375
transcript.pyannote[914].speaker SPEAKER_19
transcript.pyannote[914].start 6198.85971875
transcript.pyannote[914].end 6202.48784375
transcript.pyannote[915].speaker SPEAKER_19
transcript.pyannote[915].start 6203.28096875
transcript.pyannote[915].end 6204.15846875
transcript.pyannote[916].speaker SPEAKER_19
transcript.pyannote[916].start 6204.83346875
transcript.pyannote[916].end 6208.20846875
transcript.pyannote[917].speaker SPEAKER_19
transcript.pyannote[917].start 6209.45721875
transcript.pyannote[917].end 6211.17846875
transcript.pyannote[918].speaker SPEAKER_19
transcript.pyannote[918].start 6211.51596875
transcript.pyannote[918].end 6213.08534375
transcript.pyannote[919].speaker SPEAKER_19
transcript.pyannote[919].start 6213.96284375
transcript.pyannote[919].end 6214.41846875
transcript.pyannote[920].speaker SPEAKER_19
transcript.pyannote[920].start 6215.34659375
transcript.pyannote[920].end 6217.74284375
transcript.pyannote[921].speaker SPEAKER_19
transcript.pyannote[921].start 6218.50221875
transcript.pyannote[921].end 6220.20659375
transcript.pyannote[922].speaker SPEAKER_07
transcript.pyannote[922].start 6219.10971875
transcript.pyannote[922].end 6220.18971875
transcript.pyannote[923].speaker SPEAKER_07
transcript.pyannote[923].start 6220.20659375
transcript.pyannote[923].end 6220.61159375
transcript.pyannote[924].speaker SPEAKER_19
transcript.pyannote[924].start 6220.61159375
transcript.pyannote[924].end 6221.91096875
transcript.pyannote[925].speaker SPEAKER_07
transcript.pyannote[925].start 6220.76346875
transcript.pyannote[925].end 6222.33284375
transcript.pyannote[926].speaker SPEAKER_19
transcript.pyannote[926].start 6222.33284375
transcript.pyannote[926].end 6222.75471875
transcript.pyannote[927].speaker SPEAKER_07
transcript.pyannote[927].start 6222.75471875
transcript.pyannote[927].end 6222.92346875
transcript.pyannote[928].speaker SPEAKER_19
transcript.pyannote[928].start 6222.92346875
transcript.pyannote[928].end 6223.54784375
transcript.pyannote[929].speaker SPEAKER_19
transcript.pyannote[929].start 6225.60659375
transcript.pyannote[929].end 6225.97784375
transcript.pyannote[930].speaker SPEAKER_07
transcript.pyannote[930].start 6225.97784375
transcript.pyannote[930].end 6226.77096875
transcript.pyannote[931].speaker SPEAKER_07
transcript.pyannote[931].start 6226.82159375
transcript.pyannote[931].end 6228.34034375
transcript.pyannote[932].speaker SPEAKER_07
transcript.pyannote[932].start 6228.47534375
transcript.pyannote[932].end 6266.54534375
transcript.pyannote[933].speaker SPEAKER_07
transcript.pyannote[933].start 6267.06846875
transcript.pyannote[933].end 6267.15284375
transcript.pyannote[934].speaker SPEAKER_19
transcript.pyannote[934].start 6267.15284375
transcript.pyannote[934].end 6268.40159375
transcript.pyannote[935].speaker SPEAKER_07
transcript.pyannote[935].start 6268.68846875
transcript.pyannote[935].end 6268.72221875
transcript.pyannote[936].speaker SPEAKER_19
transcript.pyannote[936].start 6268.72221875
transcript.pyannote[936].end 6273.16034375
transcript.pyannote[937].speaker SPEAKER_19
transcript.pyannote[937].start 6275.57346875
transcript.pyannote[937].end 6275.59034375
transcript.pyannote[938].speaker SPEAKER_07
transcript.pyannote[938].start 6275.59034375
transcript.pyannote[938].end 6289.02284375
transcript.pyannote[939].speaker SPEAKER_19
transcript.pyannote[939].start 6289.02284375
transcript.pyannote[939].end 6294.01784375
transcript.pyannote[940].speaker SPEAKER_04
transcript.pyannote[940].start 6294.11909375
transcript.pyannote[940].end 6297.19034375
transcript.pyannote[941].speaker SPEAKER_04
transcript.pyannote[941].start 6297.66284375
transcript.pyannote[941].end 6298.21971875
transcript.pyannote[942].speaker SPEAKER_15
transcript.pyannote[942].start 6298.38846875
transcript.pyannote[942].end 6307.02846875
transcript.pyannote[943].speaker SPEAKER_13
transcript.pyannote[943].start 6307.02846875
transcript.pyannote[943].end 6307.38284375
transcript.pyannote[944].speaker SPEAKER_15
transcript.pyannote[944].start 6307.97346875
transcript.pyannote[944].end 6307.99034375
transcript.pyannote[945].speaker SPEAKER_13
transcript.pyannote[945].start 6307.99034375
transcript.pyannote[945].end 6345.57096875
transcript.pyannote[946].speaker SPEAKER_00
transcript.pyannote[946].start 6325.84409375
transcript.pyannote[946].end 6326.04659375
transcript.pyannote[947].speaker SPEAKER_14
transcript.pyannote[947].start 6326.04659375
transcript.pyannote[947].end 6326.35034375
transcript.pyannote[948].speaker SPEAKER_13
transcript.pyannote[948].start 6346.09409375
transcript.pyannote[948].end 6347.30909375
transcript.pyannote[949].speaker SPEAKER_15
transcript.pyannote[949].start 6346.66784375
transcript.pyannote[949].end 6370.42784375
transcript.pyannote[950].speaker SPEAKER_00
transcript.pyannote[950].start 6362.81721875
transcript.pyannote[950].end 6363.20534375
transcript.pyannote[951].speaker SPEAKER_00
transcript.pyannote[951].start 6365.70284375
transcript.pyannote[951].end 6365.71971875
transcript.pyannote[952].speaker SPEAKER_13
transcript.pyannote[952].start 6365.71971875
transcript.pyannote[952].end 6368.50409375
transcript.pyannote[953].speaker SPEAKER_13
transcript.pyannote[953].start 6370.42784375
transcript.pyannote[953].end 6370.44471875
transcript.pyannote[954].speaker SPEAKER_13
transcript.pyannote[954].start 6370.74846875
transcript.pyannote[954].end 6373.92096875
transcript.pyannote[955].speaker SPEAKER_04
transcript.pyannote[955].start 6372.40221875
transcript.pyannote[955].end 6372.79034375
transcript.pyannote[956].speaker SPEAKER_13
transcript.pyannote[956].start 6374.41034375
transcript.pyannote[956].end 6375.94596875
transcript.pyannote[957].speaker SPEAKER_15
transcript.pyannote[957].start 6375.94596875
transcript.pyannote[957].end 6375.97971875
transcript.pyannote[958].speaker SPEAKER_04
transcript.pyannote[958].start 6376.63784375
transcript.pyannote[958].end 6380.23221875
transcript.pyannote[959].speaker SPEAKER_15
transcript.pyannote[959].start 6379.15221875
transcript.pyannote[959].end 6396.60096875
transcript.pyannote[960].speaker SPEAKER_15
transcript.pyannote[960].start 6396.95534375
transcript.pyannote[960].end 6398.96346875
transcript.pyannote[961].speaker SPEAKER_11
transcript.pyannote[961].start 6398.96346875
transcript.pyannote[961].end 6400.11096875
transcript.pyannote[962].speaker SPEAKER_11
transcript.pyannote[962].start 6401.46096875
transcript.pyannote[962].end 6403.24971875
transcript.pyannote[963].speaker SPEAKER_11
transcript.pyannote[963].start 6403.89096875
transcript.pyannote[963].end 6404.80221875
transcript.pyannote[964].speaker SPEAKER_11
transcript.pyannote[964].start 6405.91596875
transcript.pyannote[964].end 6407.13096875
transcript.pyannote[965].speaker SPEAKER_17
transcript.pyannote[965].start 6406.28721875
transcript.pyannote[965].end 6407.04659375
transcript.pyannote[966].speaker SPEAKER_11
transcript.pyannote[966].start 6408.04221875
transcript.pyannote[966].end 6409.29096875
transcript.pyannote[967].speaker SPEAKER_15
transcript.pyannote[967].start 6409.29096875
transcript.pyannote[967].end 6409.54409375
transcript.pyannote[968].speaker SPEAKER_11
transcript.pyannote[968].start 6409.78034375
transcript.pyannote[968].end 6411.13034375
transcript.pyannote[969].speaker SPEAKER_11
transcript.pyannote[969].start 6411.41721875
transcript.pyannote[969].end 6428.66346875
transcript.pyannote[970].speaker SPEAKER_17
transcript.pyannote[970].start 6417.20534375
transcript.pyannote[970].end 6417.37409375
transcript.pyannote[971].speaker SPEAKER_17
transcript.pyannote[971].start 6428.66346875
transcript.pyannote[971].end 6429.03471875
transcript.pyannote[972].speaker SPEAKER_11
transcript.pyannote[972].start 6428.95034375
transcript.pyannote[972].end 6459.96659375
transcript.pyannote[973].speaker SPEAKER_17
transcript.pyannote[973].start 6445.60596875
transcript.pyannote[973].end 6445.80846875
transcript.pyannote[974].speaker SPEAKER_00
transcript.pyannote[974].start 6448.05284375
transcript.pyannote[974].end 6448.28909375
transcript.pyannote[975].speaker SPEAKER_00
transcript.pyannote[975].start 6449.63909375
transcript.pyannote[975].end 6449.84159375
transcript.pyannote[976].speaker SPEAKER_17
transcript.pyannote[976].start 6456.01784375
transcript.pyannote[976].end 6456.03471875
transcript.pyannote[977].speaker SPEAKER_15
transcript.pyannote[977].start 6456.03471875
transcript.pyannote[977].end 6456.37221875
transcript.pyannote[978].speaker SPEAKER_15
transcript.pyannote[978].start 6459.96659375
transcript.pyannote[978].end 6488.85659375
transcript.pyannote[979].speaker SPEAKER_11
transcript.pyannote[979].start 6488.56971875
transcript.pyannote[979].end 6488.87346875
transcript.pyannote[980].speaker SPEAKER_15
transcript.pyannote[980].start 6488.87346875
transcript.pyannote[980].end 6489.97034375
transcript.pyannote[981].speaker SPEAKER_11
transcript.pyannote[981].start 6489.97034375
transcript.pyannote[981].end 6513.62909375
transcript.pyannote[982].speaker SPEAKER_15
transcript.pyannote[982].start 6490.81409375
transcript.pyannote[982].end 6491.26971875
transcript.pyannote[983].speaker SPEAKER_15
transcript.pyannote[983].start 6502.86284375
transcript.pyannote[983].end 6502.93034375
transcript.pyannote[984].speaker SPEAKER_00
transcript.pyannote[984].start 6511.08096875
transcript.pyannote[984].end 6511.45221875
transcript.pyannote[985].speaker SPEAKER_11
transcript.pyannote[985].start 6513.76409375
transcript.pyannote[985].end 6517.57784375
transcript.pyannote[986].speaker SPEAKER_00
transcript.pyannote[986].start 6517.10534375
transcript.pyannote[986].end 6517.42596875
transcript.pyannote[987].speaker SPEAKER_11
transcript.pyannote[987].start 6517.64534375
transcript.pyannote[987].end 6518.72534375
transcript.pyannote[988].speaker SPEAKER_11
transcript.pyannote[988].start 6518.77596875
transcript.pyannote[988].end 6519.23159375
transcript.pyannote[989].speaker SPEAKER_11
transcript.pyannote[989].start 6519.50159375
transcript.pyannote[989].end 6525.37409375
transcript.pyannote[990].speaker SPEAKER_15
transcript.pyannote[990].start 6522.48846875
transcript.pyannote[990].end 6522.87659375
transcript.pyannote[991].speaker SPEAKER_15
transcript.pyannote[991].start 6524.15909375
transcript.pyannote[991].end 6524.88471875
transcript.pyannote[992].speaker SPEAKER_15
transcript.pyannote[992].start 6525.37409375
transcript.pyannote[992].end 6525.50909375
transcript.pyannote[993].speaker SPEAKER_11
transcript.pyannote[993].start 6526.06596875
transcript.pyannote[993].end 6526.92659375
transcript.pyannote[994].speaker SPEAKER_15
transcript.pyannote[994].start 6526.31909375
transcript.pyannote[994].end 6528.86721875
transcript.pyannote[995].speaker SPEAKER_11
transcript.pyannote[995].start 6529.27221875
transcript.pyannote[995].end 6530.45346875
transcript.pyannote[996].speaker SPEAKER_15
transcript.pyannote[996].start 6530.45346875
transcript.pyannote[996].end 6530.47034375
transcript.pyannote[997].speaker SPEAKER_11
transcript.pyannote[997].start 6532.39409375
transcript.pyannote[997].end 6533.03534375
transcript.pyannote[998].speaker SPEAKER_15
transcript.pyannote[998].start 6533.03534375
transcript.pyannote[998].end 6533.49096875
transcript.pyannote[999].speaker SPEAKER_11
transcript.pyannote[999].start 6533.49096875
transcript.pyannote[999].end 6533.54159375
transcript.pyannote[1000].speaker SPEAKER_15
transcript.pyannote[1000].start 6535.12784375
transcript.pyannote[1000].end 6537.22034375
transcript.pyannote[1001].speaker SPEAKER_11
transcript.pyannote[1001].start 6538.72221875
transcript.pyannote[1001].end 6539.14409375
transcript.pyannote[1002].speaker SPEAKER_11
transcript.pyannote[1002].start 6539.51534375
transcript.pyannote[1002].end 6541.30409375
transcript.pyannote[1003].speaker SPEAKER_11
transcript.pyannote[1003].start 6542.16471875
transcript.pyannote[1003].end 6553.15034375
transcript.pyannote[1004].speaker SPEAKER_15
transcript.pyannote[1004].start 6542.77221875
transcript.pyannote[1004].end 6542.78909375
transcript.pyannote[1005].speaker SPEAKER_17
transcript.pyannote[1005].start 6542.78909375
transcript.pyannote[1005].end 6544.12221875
transcript.pyannote[1006].speaker SPEAKER_11
transcript.pyannote[1006].start 6553.50471875
transcript.pyannote[1006].end 6553.53846875
transcript.pyannote[1007].speaker SPEAKER_15
transcript.pyannote[1007].start 6553.53846875
transcript.pyannote[1007].end 6564.96284375
transcript.pyannote[1008].speaker SPEAKER_11
transcript.pyannote[1008].start 6553.55534375
transcript.pyannote[1008].end 6555.07409375
transcript.pyannote[1009].speaker SPEAKER_11
transcript.pyannote[1009].start 6563.62971875
transcript.pyannote[1009].end 6564.74346875
transcript.pyannote[1010].speaker SPEAKER_11
transcript.pyannote[1010].start 6564.96284375
transcript.pyannote[1010].end 6565.01346875
transcript.pyannote[1011].speaker SPEAKER_15
transcript.pyannote[1011].start 6565.01346875
transcript.pyannote[1011].end 6565.04721875
transcript.pyannote[1012].speaker SPEAKER_11
transcript.pyannote[1012].start 6565.04721875
transcript.pyannote[1012].end 6565.30034375
transcript.pyannote[1013].speaker SPEAKER_15
transcript.pyannote[1013].start 6565.30034375
transcript.pyannote[1013].end 6565.97534375
transcript.pyannote[1014].speaker SPEAKER_11
transcript.pyannote[1014].start 6565.97534375
transcript.pyannote[1014].end 6595.35471875
transcript.pyannote[1015].speaker SPEAKER_11
transcript.pyannote[1015].start 6596.48534375
transcript.pyannote[1015].end 6596.51909375
transcript.pyannote[1016].speaker SPEAKER_15
transcript.pyannote[1016].start 6596.51909375
transcript.pyannote[1016].end 6612.63471875
transcript.pyannote[1017].speaker SPEAKER_17
transcript.pyannote[1017].start 6598.71284375
transcript.pyannote[1017].end 6598.81409375
transcript.pyannote[1018].speaker SPEAKER_11
transcript.pyannote[1018].start 6598.81409375
transcript.pyannote[1018].end 6598.89846875
transcript.pyannote[1019].speaker SPEAKER_11
transcript.pyannote[1019].start 6602.66159375
transcript.pyannote[1019].end 6605.10846875
transcript.pyannote[1020].speaker SPEAKER_11
transcript.pyannote[1020].start 6609.29346875
transcript.pyannote[1020].end 6609.37784375
transcript.pyannote[1021].speaker SPEAKER_11
transcript.pyannote[1021].start 6611.84159375
transcript.pyannote[1021].end 6617.71409375
transcript.pyannote[1022].speaker SPEAKER_15
transcript.pyannote[1022].start 6612.85409375
transcript.pyannote[1022].end 6613.05659375
transcript.pyannote[1023].speaker SPEAKER_11
transcript.pyannote[1023].start 6618.64221875
transcript.pyannote[1023].end 6619.03034375
transcript.pyannote[1024].speaker SPEAKER_04
transcript.pyannote[1024].start 6619.03034375
transcript.pyannote[1024].end 6621.19034375
transcript.pyannote[1025].speaker SPEAKER_11
transcript.pyannote[1025].start 6619.75596875
transcript.pyannote[1025].end 6622.00034375
transcript.pyannote[1026].speaker SPEAKER_22
transcript.pyannote[1026].start 6621.19034375
transcript.pyannote[1026].end 6621.22409375
transcript.pyannote[1027].speaker SPEAKER_04
transcript.pyannote[1027].start 6622.01721875
transcript.pyannote[1027].end 6628.07534375
transcript.pyannote[1028].speaker SPEAKER_11
transcript.pyannote[1028].start 6628.42971875
transcript.pyannote[1028].end 6631.65284375
transcript.pyannote[1029].speaker SPEAKER_11
transcript.pyannote[1029].start 6631.97346875
transcript.pyannote[1029].end 6634.28534375
transcript.pyannote[1030].speaker SPEAKER_11
transcript.pyannote[1030].start 6634.50471875
transcript.pyannote[1030].end 6637.05284375
transcript.pyannote[1031].speaker SPEAKER_11
transcript.pyannote[1031].start 6637.84596875
transcript.pyannote[1031].end 6649.32096875
transcript.pyannote[1032].speaker SPEAKER_04
transcript.pyannote[1032].start 6645.70971875
transcript.pyannote[1032].end 6646.14846875
transcript.pyannote[1033].speaker SPEAKER_04
transcript.pyannote[1033].start 6649.32096875
transcript.pyannote[1033].end 6651.61596875
transcript.pyannote[1034].speaker SPEAKER_11
transcript.pyannote[1034].start 6651.36284375
transcript.pyannote[1034].end 6651.37971875
transcript.pyannote[1035].speaker SPEAKER_13
transcript.pyannote[1035].start 6651.37971875
transcript.pyannote[1035].end 6651.51471875
transcript.pyannote[1036].speaker SPEAKER_11
transcript.pyannote[1036].start 6651.51471875
transcript.pyannote[1036].end 6651.58221875
transcript.pyannote[1037].speaker SPEAKER_13
transcript.pyannote[1037].start 6651.58221875
transcript.pyannote[1037].end 6653.48909375
transcript.pyannote[1038].speaker SPEAKER_04
transcript.pyannote[1038].start 6653.48909375
transcript.pyannote[1038].end 6653.67471875
transcript.pyannote[1039].speaker SPEAKER_13
transcript.pyannote[1039].start 6653.67471875
transcript.pyannote[1039].end 6653.99534375
transcript.pyannote[1040].speaker SPEAKER_04
transcript.pyannote[1040].start 6653.99534375
transcript.pyannote[1040].end 6654.45096875
transcript.pyannote[1041].speaker SPEAKER_13
transcript.pyannote[1041].start 6654.07971875
transcript.pyannote[1041].end 6654.55221875
transcript.pyannote[1042].speaker SPEAKER_13
transcript.pyannote[1042].start 6655.04159375
transcript.pyannote[1042].end 6656.59409375
transcript.pyannote[1043].speaker SPEAKER_13
transcript.pyannote[1043].start 6656.61096875
transcript.pyannote[1043].end 6656.71221875
transcript.pyannote[1044].speaker SPEAKER_04
transcript.pyannote[1044].start 6656.71221875
transcript.pyannote[1044].end 6659.29409375
transcript.pyannote[1045].speaker SPEAKER_13
transcript.pyannote[1045].start 6656.72909375
transcript.pyannote[1045].end 6657.67409375
transcript.pyannote[1046].speaker SPEAKER_04
transcript.pyannote[1046].start 6659.49659375
transcript.pyannote[1046].end 6663.81659375
transcript.pyannote[1047].speaker SPEAKER_13
transcript.pyannote[1047].start 6659.66534375
transcript.pyannote[1047].end 6660.30659375
transcript.pyannote[1048].speaker SPEAKER_15
transcript.pyannote[1048].start 6660.30659375
transcript.pyannote[1048].end 6660.54284375
transcript.pyannote[1049].speaker SPEAKER_15
transcript.pyannote[1049].start 6663.81659375
transcript.pyannote[1049].end 6664.23846875
transcript.pyannote[1050].speaker SPEAKER_04
transcript.pyannote[1050].start 6664.23846875
transcript.pyannote[1050].end 6664.94721875
transcript.pyannote[1051].speaker SPEAKER_15
transcript.pyannote[1051].start 6665.40284375
transcript.pyannote[1051].end 6668.86221875
transcript.pyannote[1052].speaker SPEAKER_04
transcript.pyannote[1052].start 6668.28846875
transcript.pyannote[1052].end 6668.72721875
transcript.pyannote[1053].speaker SPEAKER_04
transcript.pyannote[1053].start 6668.86221875
transcript.pyannote[1053].end 6668.96346875
transcript.pyannote[1054].speaker SPEAKER_15
transcript.pyannote[1054].start 6668.96346875
transcript.pyannote[1054].end 6668.98034375
transcript.pyannote[1055].speaker SPEAKER_04
transcript.pyannote[1055].start 6668.98034375
transcript.pyannote[1055].end 6669.03096875
transcript.pyannote[1056].speaker SPEAKER_15
transcript.pyannote[1056].start 6669.03096875
transcript.pyannote[1056].end 6669.04784375
transcript.pyannote[1057].speaker SPEAKER_04
transcript.pyannote[1057].start 6669.04784375
transcript.pyannote[1057].end 6669.08159375
transcript.pyannote[1058].speaker SPEAKER_15
transcript.pyannote[1058].start 6669.08159375
transcript.pyannote[1058].end 6669.09846875
transcript.pyannote[1059].speaker SPEAKER_04
transcript.pyannote[1059].start 6669.09846875
transcript.pyannote[1059].end 6669.13221875
transcript.pyannote[1060].speaker SPEAKER_15
transcript.pyannote[1060].start 6669.13221875
transcript.pyannote[1060].end 6678.68346875
transcript.pyannote[1061].speaker SPEAKER_04
transcript.pyannote[1061].start 6669.14909375
transcript.pyannote[1061].end 6669.87471875
transcript.pyannote[1062].speaker SPEAKER_19
transcript.pyannote[1062].start 6678.97034375
transcript.pyannote[1062].end 6679.24034375
transcript.pyannote[1063].speaker SPEAKER_19
transcript.pyannote[1063].start 6679.98284375
transcript.pyannote[1063].end 6680.25284375
transcript.pyannote[1064].speaker SPEAKER_15
transcript.pyannote[1064].start 6680.25284375
transcript.pyannote[1064].end 6680.64096875
transcript.pyannote[1065].speaker SPEAKER_19
transcript.pyannote[1065].start 6680.26971875
transcript.pyannote[1065].end 6680.42159375
transcript.pyannote[1066].speaker SPEAKER_04
transcript.pyannote[1066].start 6680.42159375
transcript.pyannote[1066].end 6680.43846875
transcript.pyannote[1067].speaker SPEAKER_15
transcript.pyannote[1067].start 6680.99534375
transcript.pyannote[1067].end 6681.55221875
transcript.pyannote[1068].speaker SPEAKER_04
transcript.pyannote[1068].start 6681.55221875
transcript.pyannote[1068].end 6681.56909375
transcript.pyannote[1069].speaker SPEAKER_19
transcript.pyannote[1069].start 6682.93596875
transcript.pyannote[1069].end 6684.15096875
transcript.pyannote[1070].speaker SPEAKER_19
transcript.pyannote[1070].start 6684.67409375
transcript.pyannote[1070].end 6686.61471875
transcript.pyannote[1071].speaker SPEAKER_19
transcript.pyannote[1071].start 6687.32346875
transcript.pyannote[1071].end 6690.83346875
transcript.pyannote[1072].speaker SPEAKER_04
transcript.pyannote[1072].start 6690.29346875
transcript.pyannote[1072].end 6691.60971875
transcript.pyannote[1073].speaker SPEAKER_19
transcript.pyannote[1073].start 6691.60971875
transcript.pyannote[1073].end 6691.96409375
transcript.pyannote[1074].speaker SPEAKER_19
transcript.pyannote[1074].start 6693.09471875
transcript.pyannote[1074].end 6695.28846875
transcript.pyannote[1075].speaker SPEAKER_19
transcript.pyannote[1075].start 6696.28409375
transcript.pyannote[1075].end 6697.11096875
transcript.pyannote[1076].speaker SPEAKER_19
transcript.pyannote[1076].start 6698.24159375
transcript.pyannote[1076].end 6699.11909375
transcript.pyannote[1077].speaker SPEAKER_04
transcript.pyannote[1077].start 6699.11909375
transcript.pyannote[1077].end 6699.32159375
transcript.pyannote[1078].speaker SPEAKER_19
transcript.pyannote[1078].start 6699.32159375
transcript.pyannote[1078].end 6699.67596875
transcript.pyannote[1079].speaker SPEAKER_04
transcript.pyannote[1079].start 6699.67596875
transcript.pyannote[1079].end 6699.74346875
transcript.pyannote[1080].speaker SPEAKER_21
transcript.pyannote[1080].start 6700.04721875
transcript.pyannote[1080].end 6701.43096875
transcript.pyannote[1081].speaker SPEAKER_21
transcript.pyannote[1081].start 6701.70096875
transcript.pyannote[1081].end 6718.98096875
transcript.pyannote[1082].speaker SPEAKER_21
transcript.pyannote[1082].start 6719.72346875
transcript.pyannote[1082].end 6721.74846875
transcript.pyannote[1083].speaker SPEAKER_21
transcript.pyannote[1083].start 6721.93409375
transcript.pyannote[1083].end 6739.48409375
transcript.pyannote[1084].speaker SPEAKER_21
transcript.pyannote[1084].start 6739.60221875
transcript.pyannote[1084].end 6749.98034375
transcript.pyannote[1085].speaker SPEAKER_21
transcript.pyannote[1085].start 6750.72284375
transcript.pyannote[1085].end 6770.21346875
transcript.pyannote[1086].speaker SPEAKER_21
transcript.pyannote[1086].start 6770.83784375
transcript.pyannote[1086].end 6774.49971875
transcript.pyannote[1087].speaker SPEAKER_21
transcript.pyannote[1087].start 6775.68096875
transcript.pyannote[1087].end 6776.35596875
transcript.pyannote[1088].speaker SPEAKER_21
transcript.pyannote[1088].start 6778.09409375
transcript.pyannote[1088].end 6791.45909375
transcript.pyannote[1089].speaker SPEAKER_21
transcript.pyannote[1089].start 6791.76284375
transcript.pyannote[1089].end 6816.73784375
transcript.pyannote[1090].speaker SPEAKER_21
transcript.pyannote[1090].start 6816.92346875
transcript.pyannote[1090].end 6838.60784375
transcript.pyannote[1091].speaker SPEAKER_21
transcript.pyannote[1091].start 6838.74284375
transcript.pyannote[1091].end 6843.43409375
transcript.pyannote[1092].speaker SPEAKER_21
transcript.pyannote[1092].start 6843.56909375
transcript.pyannote[1092].end 6848.17596875
transcript.pyannote[1093].speaker SPEAKER_21
transcript.pyannote[1093].start 6848.51346875
transcript.pyannote[1093].end 6850.04909375
transcript.pyannote[1094].speaker SPEAKER_21
transcript.pyannote[1094].start 6850.38659375
transcript.pyannote[1094].end 6850.58909375
transcript.pyannote[1095].speaker SPEAKER_14
transcript.pyannote[1095].start 6853.18784375
transcript.pyannote[1095].end 6886.68471875
transcript.pyannote[1096].speaker SPEAKER_17
transcript.pyannote[1096].start 6887.22471875
transcript.pyannote[1096].end 6887.39346875
transcript.pyannote[1097].speaker SPEAKER_14
transcript.pyannote[1097].start 6887.96721875
transcript.pyannote[1097].end 6907.12034375
transcript.pyannote[1098].speaker SPEAKER_14
transcript.pyannote[1098].start 6907.47471875
transcript.pyannote[1098].end 6944.80221875
transcript.pyannote[1099].speaker SPEAKER_14
transcript.pyannote[1099].start 6945.08909375
transcript.pyannote[1099].end 6963.17909375
transcript.pyannote[1100].speaker SPEAKER_14
transcript.pyannote[1100].start 6963.39846875
transcript.pyannote[1100].end 7012.01534375
transcript.pyannote[1101].speaker SPEAKER_04
transcript.pyannote[1101].start 7011.54284375
transcript.pyannote[1101].end 7015.18784375
transcript.pyannote[1102].speaker SPEAKER_14
transcript.pyannote[1102].start 7015.28909375
transcript.pyannote[1102].end 7017.83721875
transcript.pyannote[1103].speaker SPEAKER_04
transcript.pyannote[1103].start 7015.60971875
transcript.pyannote[1103].end 7017.28034375
transcript.pyannote[1104].speaker SPEAKER_04
transcript.pyannote[1104].start 7017.48284375
transcript.pyannote[1104].end 7020.53721875
transcript.pyannote[1105].speaker SPEAKER_04
transcript.pyannote[1105].start 7020.90846875
transcript.pyannote[1105].end 7023.05159375
transcript.pyannote[1106].speaker SPEAKER_14
transcript.pyannote[1106].start 7022.22471875
transcript.pyannote[1106].end 7023.03471875
transcript.pyannote[1107].speaker SPEAKER_21
transcript.pyannote[1107].start 7023.03471875
transcript.pyannote[1107].end 7024.26659375
transcript.pyannote[1108].speaker SPEAKER_21
transcript.pyannote[1108].start 7025.19471875
transcript.pyannote[1108].end 7025.85284375
transcript.pyannote[1109].speaker SPEAKER_21
transcript.pyannote[1109].start 7026.37596875
transcript.pyannote[1109].end 7051.35096875
transcript.pyannote[1110].speaker SPEAKER_21
transcript.pyannote[1110].start 7051.87409375
transcript.pyannote[1110].end 7052.51534375
transcript.pyannote[1111].speaker SPEAKER_21
transcript.pyannote[1111].start 7053.13971875
transcript.pyannote[1111].end 7067.98971875
transcript.pyannote[1112].speaker SPEAKER_04
transcript.pyannote[1112].start 7068.12471875
transcript.pyannote[1112].end 7069.49159375
transcript.pyannote[1113].speaker SPEAKER_21
transcript.pyannote[1113].start 7069.74471875
transcript.pyannote[1113].end 7070.20034375
transcript.pyannote[1114].speaker SPEAKER_21
transcript.pyannote[1114].start 7070.38596875
transcript.pyannote[1114].end 7160.76846875
transcript.pyannote[1115].speaker SPEAKER_04
transcript.pyannote[1115].start 7159.26659375
transcript.pyannote[1115].end 7167.02909375
transcript.pyannote[1116].speaker SPEAKER_14
transcript.pyannote[1116].start 7164.12659375
transcript.pyannote[1116].end 7165.03784375
transcript.pyannote[1117].speaker SPEAKER_21
transcript.pyannote[1117].start 7165.03784375
transcript.pyannote[1117].end 7165.18971875
transcript.pyannote[1118].speaker SPEAKER_04
transcript.pyannote[1118].start 7167.11346875
transcript.pyannote[1118].end 7167.28221875
transcript.pyannote[1119].speaker SPEAKER_21
transcript.pyannote[1119].start 7167.16409375
transcript.pyannote[1119].end 7167.21471875
transcript.pyannote[1120].speaker SPEAKER_14
transcript.pyannote[1120].start 7167.21471875
transcript.pyannote[1120].end 7167.50159375
transcript.pyannote[1121].speaker SPEAKER_21
transcript.pyannote[1121].start 7167.28221875
transcript.pyannote[1121].end 7167.34971875
transcript.pyannote[1122].speaker SPEAKER_04
transcript.pyannote[1122].start 7167.34971875
transcript.pyannote[1122].end 7167.97409375
transcript.pyannote[1123].speaker SPEAKER_21
transcript.pyannote[1123].start 7167.50159375
transcript.pyannote[1123].end 7168.09221875
transcript.pyannote[1124].speaker SPEAKER_14
transcript.pyannote[1124].start 7167.97409375
transcript.pyannote[1124].end 7169.67846875
transcript.pyannote[1125].speaker SPEAKER_21
transcript.pyannote[1125].start 7169.15534375
transcript.pyannote[1125].end 7176.20909375
transcript.pyannote[1126].speaker SPEAKER_14
transcript.pyannote[1126].start 7175.93909375
transcript.pyannote[1126].end 7191.14346875
transcript.pyannote[1127].speaker SPEAKER_14
transcript.pyannote[1127].start 7191.26159375
transcript.pyannote[1127].end 7195.96971875
transcript.pyannote[1128].speaker SPEAKER_14
transcript.pyannote[1128].start 7196.23971875
transcript.pyannote[1128].end 7198.09596875
transcript.pyannote[1129].speaker SPEAKER_04
transcript.pyannote[1129].start 7197.35346875
transcript.pyannote[1129].end 7198.88909375
transcript.pyannote[1130].speaker SPEAKER_14
transcript.pyannote[1130].start 7198.78784375
transcript.pyannote[1130].end 7205.18346875
transcript.pyannote[1131].speaker SPEAKER_14
transcript.pyannote[1131].start 7205.31846875
transcript.pyannote[1131].end 7205.58846875
transcript.pyannote[1132].speaker SPEAKER_17
transcript.pyannote[1132].start 7205.58846875
transcript.pyannote[1132].end 7205.62221875
transcript.pyannote[1133].speaker SPEAKER_14
transcript.pyannote[1133].start 7205.62221875
transcript.pyannote[1133].end 7217.19846875
transcript.pyannote[1134].speaker SPEAKER_04
transcript.pyannote[1134].start 7215.52784375
transcript.pyannote[1134].end 7220.80971875
transcript.pyannote[1135].speaker SPEAKER_04
transcript.pyannote[1135].start 7221.26534375
transcript.pyannote[1135].end 7223.74596875
transcript.pyannote[1136].speaker SPEAKER_04
transcript.pyannote[1136].start 7223.84721875
transcript.pyannote[1136].end 7228.18409375
transcript.pyannote[1137].speaker SPEAKER_04
transcript.pyannote[1137].start 7229.04471875
transcript.pyannote[1137].end 7233.21284375
transcript.pyannote[1138].speaker SPEAKER_04
transcript.pyannote[1138].start 7233.98909375
transcript.pyannote[1138].end 7240.67159375
transcript.pyannote[1139].speaker SPEAKER_04
transcript.pyannote[1139].start 7240.94159375
transcript.pyannote[1139].end 7245.02534375
transcript.pyannote[1140].speaker SPEAKER_04
transcript.pyannote[1140].start 7245.34596875
transcript.pyannote[1140].end 7250.18909375
transcript.pyannote[1141].speaker SPEAKER_04
transcript.pyannote[1141].start 7250.57721875
transcript.pyannote[1141].end 7251.52221875
transcript.pyannote[1142].speaker SPEAKER_04
transcript.pyannote[1142].start 7252.45034375
transcript.pyannote[1142].end 7254.69471875
transcript.pyannote[1143].speaker SPEAKER_04
transcript.pyannote[1143].start 7254.96471875
transcript.pyannote[1143].end 7259.41971875
transcript.pyannote[1144].speaker SPEAKER_04
transcript.pyannote[1144].start 7259.52096875
transcript.pyannote[1144].end 7265.34284375
transcript.pyannote[1145].speaker SPEAKER_04
transcript.pyannote[1145].start 7267.51971875
transcript.pyannote[1145].end 7269.25784375
transcript.pyannote[1146].speaker SPEAKER_19
transcript.pyannote[1146].start 7271.26596875
transcript.pyannote[1146].end 7274.92784375
transcript.pyannote[1147].speaker SPEAKER_19
transcript.pyannote[1147].start 7275.36659375
transcript.pyannote[1147].end 7282.35284375
transcript.pyannote[1148].speaker SPEAKER_17
transcript.pyannote[1148].start 7282.35284375
transcript.pyannote[1148].end 7282.94346875
transcript.pyannote[1149].speaker SPEAKER_19
transcript.pyannote[1149].start 7282.65659375
transcript.pyannote[1149].end 7290.45284375
transcript.pyannote[1150].speaker SPEAKER_19
transcript.pyannote[1150].start 7290.97596875
transcript.pyannote[1150].end 7303.56471875
transcript.pyannote[1151].speaker SPEAKER_19
transcript.pyannote[1151].start 7304.03721875
transcript.pyannote[1151].end 7306.83846875
transcript.pyannote[1152].speaker SPEAKER_19
transcript.pyannote[1152].start 7307.10846875
transcript.pyannote[1152].end 7309.35284375
transcript.pyannote[1153].speaker SPEAKER_19
transcript.pyannote[1153].start 7309.63971875
transcript.pyannote[1153].end 7313.23409375
transcript.pyannote[1154].speaker SPEAKER_19
transcript.pyannote[1154].start 7314.76971875
transcript.pyannote[1154].end 7315.37721875
transcript.pyannote[1155].speaker SPEAKER_19
transcript.pyannote[1155].start 7315.88346875
transcript.pyannote[1155].end 7316.89596875
transcript.pyannote[1156].speaker SPEAKER_19
transcript.pyannote[1156].start 7317.28409375
transcript.pyannote[1156].end 7318.71846875
transcript.pyannote[1157].speaker SPEAKER_19
transcript.pyannote[1157].start 7320.27096875
transcript.pyannote[1157].end 7322.34659375
transcript.pyannote[1158].speaker SPEAKER_19
transcript.pyannote[1158].start 7323.07221875
transcript.pyannote[1158].end 7325.51909375
transcript.pyannote[1159].speaker SPEAKER_19
transcript.pyannote[1159].start 7326.16034375
transcript.pyannote[1159].end 7329.43409375
transcript.pyannote[1160].speaker SPEAKER_19
transcript.pyannote[1160].start 7329.88971875
transcript.pyannote[1160].end 7330.12596875
transcript.pyannote[1161].speaker SPEAKER_19
transcript.pyannote[1161].start 7330.75034375
transcript.pyannote[1161].end 7330.96971875
transcript.pyannote[1162].speaker SPEAKER_19
transcript.pyannote[1162].start 7331.77971875
transcript.pyannote[1162].end 7335.61034375
transcript.pyannote[1163].speaker SPEAKER_19
transcript.pyannote[1163].start 7336.30221875
transcript.pyannote[1163].end 7345.02659375
transcript.pyannote[1164].speaker SPEAKER_19
transcript.pyannote[1164].start 7345.22909375
transcript.pyannote[1164].end 7347.74346875
transcript.pyannote[1165].speaker SPEAKER_19
transcript.pyannote[1165].start 7348.18221875
transcript.pyannote[1165].end 7349.98784375
transcript.pyannote[1166].speaker SPEAKER_19
transcript.pyannote[1166].start 7351.23659375
transcript.pyannote[1166].end 7357.53096875
transcript.pyannote[1167].speaker SPEAKER_19
transcript.pyannote[1167].start 7357.69971875
transcript.pyannote[1167].end 7391.17971875
transcript.pyannote[1168].speaker SPEAKER_19
transcript.pyannote[1168].start 7391.71971875
transcript.pyannote[1168].end 7394.25096875
transcript.pyannote[1169].speaker SPEAKER_19
transcript.pyannote[1169].start 7394.75721875
transcript.pyannote[1169].end 7395.17909375
transcript.pyannote[1170].speaker SPEAKER_19
transcript.pyannote[1170].start 7396.86659375
transcript.pyannote[1170].end 7398.36846875
transcript.pyannote[1171].speaker SPEAKER_19
transcript.pyannote[1171].start 7400.39346875
transcript.pyannote[1171].end 7402.09784375
transcript.pyannote[1172].speaker SPEAKER_19
transcript.pyannote[1172].start 7402.87409375
transcript.pyannote[1172].end 7403.75159375
transcript.pyannote[1173].speaker SPEAKER_19
transcript.pyannote[1173].start 7404.74721875
transcript.pyannote[1173].end 7405.82721875
transcript.pyannote[1174].speaker SPEAKER_19
transcript.pyannote[1174].start 7406.43471875
transcript.pyannote[1174].end 7407.66659375
transcript.pyannote[1175].speaker SPEAKER_19
transcript.pyannote[1175].start 7408.32471875
transcript.pyannote[1175].end 7416.76221875
transcript.pyannote[1176].speaker SPEAKER_19
transcript.pyannote[1176].start 7418.51721875
transcript.pyannote[1176].end 7420.05284375
transcript.pyannote[1177].speaker SPEAKER_19
transcript.pyannote[1177].start 7420.76159375
transcript.pyannote[1177].end 7421.08221875
transcript.pyannote[1178].speaker SPEAKER_19
transcript.pyannote[1178].start 7421.87534375
transcript.pyannote[1178].end 7434.78471875
transcript.pyannote[1179].speaker SPEAKER_19
transcript.pyannote[1179].start 7437.29909375
transcript.pyannote[1179].end 7450.47846875
transcript.pyannote[1180].speaker SPEAKER_17
transcript.pyannote[1180].start 7451.33909375
transcript.pyannote[1180].end 7451.64284375
transcript.pyannote[1181].speaker SPEAKER_01
transcript.pyannote[1181].start 7454.47784375
transcript.pyannote[1181].end 7457.00909375
transcript.pyannote[1182].speaker SPEAKER_01
transcript.pyannote[1182].start 7457.32971875
transcript.pyannote[1182].end 7460.41784375
transcript.pyannote[1183].speaker SPEAKER_01
transcript.pyannote[1183].start 7461.04221875
transcript.pyannote[1183].end 7461.95346875
transcript.pyannote[1184].speaker SPEAKER_01
transcript.pyannote[1184].start 7462.91534375
transcript.pyannote[1184].end 7467.23534375
transcript.pyannote[1185].speaker SPEAKER_01
transcript.pyannote[1185].start 7467.85971875
transcript.pyannote[1185].end 7470.40784375
transcript.pyannote[1186].speaker SPEAKER_01
transcript.pyannote[1186].start 7470.79596875
transcript.pyannote[1186].end 7490.37096875
transcript.pyannote[1187].speaker SPEAKER_01
transcript.pyannote[1187].start 7490.86034375
transcript.pyannote[1187].end 7493.64471875
transcript.pyannote[1188].speaker SPEAKER_01
transcript.pyannote[1188].start 7493.91471875
transcript.pyannote[1188].end 7497.82971875
transcript.pyannote[1189].speaker SPEAKER_01
transcript.pyannote[1189].start 7498.40346875
transcript.pyannote[1189].end 7499.12909375
transcript.pyannote[1190].speaker SPEAKER_01
transcript.pyannote[1190].start 7499.75346875
transcript.pyannote[1190].end 7502.67284375
transcript.pyannote[1191].speaker SPEAKER_01
transcript.pyannote[1191].start 7502.80784375
transcript.pyannote[1191].end 7504.96784375
transcript.pyannote[1192].speaker SPEAKER_01
transcript.pyannote[1192].start 7505.44034375
transcript.pyannote[1192].end 7507.75221875
transcript.pyannote[1193].speaker SPEAKER_01
transcript.pyannote[1193].start 7508.52846875
transcript.pyannote[1193].end 7516.44284375
transcript.pyannote[1194].speaker SPEAKER_01
transcript.pyannote[1194].start 7516.79721875
transcript.pyannote[1194].end 7522.07909375
transcript.pyannote[1195].speaker SPEAKER_01
transcript.pyannote[1195].start 7522.48409375
transcript.pyannote[1195].end 7525.53846875
transcript.pyannote[1196].speaker SPEAKER_01
transcript.pyannote[1196].start 7526.17971875
transcript.pyannote[1196].end 7534.27971875
transcript.pyannote[1197].speaker SPEAKER_01
transcript.pyannote[1197].start 7534.58346875
transcript.pyannote[1197].end 7566.00471875
transcript.pyannote[1198].speaker SPEAKER_14
transcript.pyannote[1198].start 7568.41784375
transcript.pyannote[1198].end 7576.68659375
transcript.pyannote[1199].speaker SPEAKER_14
transcript.pyannote[1199].start 7576.77096875
transcript.pyannote[1199].end 7579.01534375
transcript.pyannote[1200].speaker SPEAKER_14
transcript.pyannote[1200].start 7579.26846875
transcript.pyannote[1200].end 7583.08221875
transcript.pyannote[1201].speaker SPEAKER_14
transcript.pyannote[1201].start 7583.35221875
transcript.pyannote[1201].end 7596.05909375
transcript.pyannote[1202].speaker SPEAKER_14
transcript.pyannote[1202].start 7596.63284375
transcript.pyannote[1202].end 7597.91534375
transcript.pyannote[1203].speaker SPEAKER_14
transcript.pyannote[1203].start 7598.28659375
transcript.pyannote[1203].end 7608.49596875
transcript.pyannote[1204].speaker SPEAKER_14
transcript.pyannote[1204].start 7608.86721875
transcript.pyannote[1204].end 7611.22971875
transcript.pyannote[1205].speaker SPEAKER_14
transcript.pyannote[1205].start 7611.83721875
transcript.pyannote[1205].end 7627.80096875
transcript.pyannote[1206].speaker SPEAKER_14
transcript.pyannote[1206].start 7628.03721875
transcript.pyannote[1206].end 7632.61034375
transcript.pyannote[1207].speaker SPEAKER_19
transcript.pyannote[1207].start 7631.91846875
transcript.pyannote[1207].end 7632.12096875
transcript.pyannote[1208].speaker SPEAKER_14
transcript.pyannote[1208].start 7633.06596875
transcript.pyannote[1208].end 7634.63534375
transcript.pyannote[1209].speaker SPEAKER_19
transcript.pyannote[1209].start 7636.33971875
transcript.pyannote[1209].end 7638.36471875
transcript.pyannote[1210].speaker SPEAKER_19
transcript.pyannote[1210].start 7638.61784375
transcript.pyannote[1210].end 7638.75284375
transcript.pyannote[1211].speaker SPEAKER_19
transcript.pyannote[1211].start 7640.23784375
transcript.pyannote[1211].end 7642.65096875
transcript.pyannote[1212].speaker SPEAKER_19
transcript.pyannote[1212].start 7642.70159375
transcript.pyannote[1212].end 7651.45971875
transcript.pyannote[1213].speaker SPEAKER_19
transcript.pyannote[1213].start 7652.53971875
transcript.pyannote[1213].end 7652.70846875
transcript.pyannote[1214].speaker SPEAKER_19
transcript.pyannote[1214].start 7652.91096875
transcript.pyannote[1214].end 7653.95721875
transcript.pyannote[1215].speaker SPEAKER_19
transcript.pyannote[1215].start 7654.64909375
transcript.pyannote[1215].end 7656.03284375
transcript.pyannote[1216].speaker SPEAKER_19
transcript.pyannote[1216].start 7656.52221875
transcript.pyannote[1216].end 7656.84284375
transcript.pyannote[1217].speaker SPEAKER_19
transcript.pyannote[1217].start 7657.21409375
transcript.pyannote[1217].end 7657.55159375
transcript.pyannote[1218].speaker SPEAKER_19
transcript.pyannote[1218].start 7658.15909375
transcript.pyannote[1218].end 7672.63784375
transcript.pyannote[1219].speaker SPEAKER_19
transcript.pyannote[1219].start 7673.21159375
transcript.pyannote[1219].end 7681.22721875
transcript.pyannote[1220].speaker SPEAKER_19
transcript.pyannote[1220].start 7681.69971875
transcript.pyannote[1220].end 7702.43909375
transcript.pyannote[1221].speaker SPEAKER_19
transcript.pyannote[1221].start 7702.62471875
transcript.pyannote[1221].end 7706.10096875
transcript.pyannote[1222].speaker SPEAKER_19
transcript.pyannote[1222].start 7706.50596875
transcript.pyannote[1222].end 7709.66159375
transcript.pyannote[1223].speaker SPEAKER_19
transcript.pyannote[1223].start 7710.06659375
transcript.pyannote[1223].end 7712.68221875
transcript.pyannote[1224].speaker SPEAKER_14
transcript.pyannote[1224].start 7713.59346875
transcript.pyannote[1224].end 7736.39159375
transcript.pyannote[1225].speaker SPEAKER_14
transcript.pyannote[1225].start 7736.81346875
transcript.pyannote[1225].end 7739.71596875
transcript.pyannote[1226].speaker SPEAKER_14
transcript.pyannote[1226].start 7739.96909375
transcript.pyannote[1226].end 7742.26409375
transcript.pyannote[1227].speaker SPEAKER_14
transcript.pyannote[1227].start 7742.31471875
transcript.pyannote[1227].end 7748.64284375
transcript.pyannote[1228].speaker SPEAKER_14
transcript.pyannote[1228].start 7748.96346875
transcript.pyannote[1228].end 7755.13971875
transcript.pyannote[1229].speaker SPEAKER_14
transcript.pyannote[1229].start 7755.67971875
transcript.pyannote[1229].end 7766.71596875
transcript.pyannote[1230].speaker SPEAKER_14
transcript.pyannote[1230].start 7767.17159375
transcript.pyannote[1230].end 7774.57971875
transcript.pyannote[1231].speaker SPEAKER_14
transcript.pyannote[1231].start 7775.32221875
transcript.pyannote[1231].end 7776.92534375
transcript.pyannote[1232].speaker SPEAKER_14
transcript.pyannote[1232].start 7777.33034375
transcript.pyannote[1232].end 7783.62471875
transcript.pyannote[1233].speaker SPEAKER_19
transcript.pyannote[1233].start 7784.97471875
transcript.pyannote[1233].end 7792.38284375
transcript.pyannote[1234].speaker SPEAKER_04
transcript.pyannote[1234].start 7792.66971875
transcript.pyannote[1234].end 7792.68659375
transcript.pyannote[1235].speaker SPEAKER_05
transcript.pyannote[1235].start 7792.68659375
transcript.pyannote[1235].end 7792.70346875
transcript.pyannote[1236].speaker SPEAKER_04
transcript.pyannote[1236].start 7792.70346875
transcript.pyannote[1236].end 7793.00721875
transcript.pyannote[1237].speaker SPEAKER_19
transcript.pyannote[1237].start 7793.24346875
transcript.pyannote[1237].end 7798.94721875
transcript.pyannote[1238].speaker SPEAKER_19
transcript.pyannote[1238].start 7799.62221875
transcript.pyannote[1238].end 7810.37159375
transcript.pyannote[1239].speaker SPEAKER_04
transcript.pyannote[1239].start 7810.37159375
transcript.pyannote[1239].end 7810.89471875
transcript.pyannote[1240].speaker SPEAKER_19
transcript.pyannote[1240].start 7810.89471875
transcript.pyannote[1240].end 7810.91159375
transcript.pyannote[1241].speaker SPEAKER_04
transcript.pyannote[1241].start 7811.99159375
transcript.pyannote[1241].end 7812.68346875
transcript.pyannote[1242].speaker SPEAKER_04
transcript.pyannote[1242].start 7814.05034375
transcript.pyannote[1242].end 7818.60659375
transcript.pyannote[1243].speaker SPEAKER_14
transcript.pyannote[1243].start 7816.98659375
transcript.pyannote[1243].end 7818.38721875
transcript.pyannote[1244].speaker SPEAKER_14
transcript.pyannote[1244].start 7818.60659375
transcript.pyannote[1244].end 7833.81096875
transcript.pyannote[1245].speaker SPEAKER_17
transcript.pyannote[1245].start 7818.65721875
transcript.pyannote[1245].end 7818.67409375
transcript.pyannote[1246].speaker SPEAKER_04
transcript.pyannote[1246].start 7818.67409375
transcript.pyannote[1246].end 7819.04534375
transcript.pyannote[1247].speaker SPEAKER_11
transcript.pyannote[1247].start 7828.91721875
transcript.pyannote[1247].end 7847.58096875
transcript.pyannote[1248].speaker SPEAKER_11
transcript.pyannote[1248].start 7847.71596875
transcript.pyannote[1248].end 7862.31284375
transcript.pyannote[1249].speaker SPEAKER_11
transcript.pyannote[1249].start 7862.49846875
transcript.pyannote[1249].end 7864.99596875
transcript.pyannote[1250].speaker SPEAKER_14
transcript.pyannote[1250].start 7867.89846875
transcript.pyannote[1250].end 7878.09096875
transcript.pyannote[1251].speaker SPEAKER_11
transcript.pyannote[1251].start 7874.29409375
transcript.pyannote[1251].end 7876.60596875
transcript.pyannote[1252].speaker SPEAKER_11
transcript.pyannote[1252].start 7876.69034375
transcript.pyannote[1252].end 7894.96596875
transcript.pyannote[1253].speaker SPEAKER_11
transcript.pyannote[1253].start 7895.35409375
transcript.pyannote[1253].end 7924.12596875
transcript.pyannote[1254].speaker SPEAKER_11
transcript.pyannote[1254].start 7924.75034375
transcript.pyannote[1254].end 7928.24346875
transcript.pyannote[1255].speaker SPEAKER_11
transcript.pyannote[1255].start 7928.69909375
transcript.pyannote[1255].end 7945.69221875
transcript.pyannote[1256].speaker SPEAKER_11
transcript.pyannote[1256].start 7946.70471875
transcript.pyannote[1256].end 7952.29034375
transcript.pyannote[1257].speaker SPEAKER_11
transcript.pyannote[1257].start 7952.96534375
transcript.pyannote[1257].end 7954.53471875
transcript.pyannote[1258].speaker SPEAKER_14
transcript.pyannote[1258].start 7955.24346875
transcript.pyannote[1258].end 7958.88846875
transcript.pyannote[1259].speaker SPEAKER_11
transcript.pyannote[1259].start 7958.77034375
transcript.pyannote[1259].end 7962.02721875
transcript.pyannote[1260].speaker SPEAKER_14
transcript.pyannote[1260].start 7962.02721875
transcript.pyannote[1260].end 7962.19596875
transcript.pyannote[1261].speaker SPEAKER_11
transcript.pyannote[1261].start 7962.19596875
transcript.pyannote[1261].end 7973.53596875
transcript.pyannote[1262].speaker SPEAKER_14
transcript.pyannote[1262].start 7962.22971875
transcript.pyannote[1262].end 7962.33096875
transcript.pyannote[1263].speaker SPEAKER_14
transcript.pyannote[1263].start 7972.01721875
transcript.pyannote[1263].end 7974.39659375
transcript.pyannote[1264].speaker SPEAKER_14
transcript.pyannote[1264].start 7974.63284375
transcript.pyannote[1264].end 8002.72971875
transcript.pyannote[1265].speaker SPEAKER_00
transcript.pyannote[1265].start 7985.93909375
transcript.pyannote[1265].end 7986.02346875
transcript.pyannote[1266].speaker SPEAKER_17
transcript.pyannote[1266].start 7986.02346875
transcript.pyannote[1266].end 7986.98534375
transcript.pyannote[1267].speaker SPEAKER_00
transcript.pyannote[1267].start 7986.98534375
transcript.pyannote[1267].end 7987.03596875
transcript.pyannote[1268].speaker SPEAKER_11
transcript.pyannote[1268].start 7998.59534375
transcript.pyannote[1268].end 7999.67534375
transcript.pyannote[1269].speaker SPEAKER_11
transcript.pyannote[1269].start 8000.75534375
transcript.pyannote[1269].end 8000.82284375
transcript.pyannote[1270].speaker SPEAKER_11
transcript.pyannote[1270].start 8000.85659375
transcript.pyannote[1270].end 8014.66034375
transcript.pyannote[1271].speaker SPEAKER_14
transcript.pyannote[1271].start 8011.31909375
transcript.pyannote[1271].end 8012.46659375
transcript.pyannote[1272].speaker SPEAKER_14
transcript.pyannote[1272].start 8013.52971875
transcript.pyannote[1272].end 8039.60159375
transcript.pyannote[1273].speaker SPEAKER_11
transcript.pyannote[1273].start 8021.62971875
transcript.pyannote[1273].end 8021.96721875
transcript.pyannote[1274].speaker SPEAKER_17
transcript.pyannote[1274].start 8021.96721875
transcript.pyannote[1274].end 8021.98409375
transcript.pyannote[1275].speaker SPEAKER_11
transcript.pyannote[1275].start 8021.98409375
transcript.pyannote[1275].end 8022.03471875
transcript.pyannote[1276].speaker SPEAKER_17
transcript.pyannote[1276].start 8022.03471875
transcript.pyannote[1276].end 8022.06846875
transcript.pyannote[1277].speaker SPEAKER_11
transcript.pyannote[1277].start 8030.89409375
transcript.pyannote[1277].end 8031.75471875
transcript.pyannote[1278].speaker SPEAKER_11
transcript.pyannote[1278].start 8034.82596875
transcript.pyannote[1278].end 8035.77096875
transcript.pyannote[1279].speaker SPEAKER_14
transcript.pyannote[1279].start 8039.83784375
transcript.pyannote[1279].end 8059.69971875
transcript.pyannote[1280].speaker SPEAKER_11
transcript.pyannote[1280].start 8059.49721875
transcript.pyannote[1280].end 8059.54784375
transcript.pyannote[1281].speaker SPEAKER_11
transcript.pyannote[1281].start 8059.58159375
transcript.pyannote[1281].end 8059.63221875
transcript.pyannote[1282].speaker SPEAKER_11
transcript.pyannote[1282].start 8059.69971875
transcript.pyannote[1282].end 8059.71659375
transcript.pyannote[1283].speaker SPEAKER_14
transcript.pyannote[1283].start 8059.71659375
transcript.pyannote[1283].end 8059.85159375
transcript.pyannote[1284].speaker SPEAKER_11
transcript.pyannote[1284].start 8059.85159375
transcript.pyannote[1284].end 8069.47034375
transcript.pyannote[1285].speaker SPEAKER_17
transcript.pyannote[1285].start 8064.61034375
transcript.pyannote[1285].end 8064.93096875
transcript.pyannote[1286].speaker SPEAKER_17
transcript.pyannote[1286].start 8069.47034375
transcript.pyannote[1286].end 8069.94284375
transcript.pyannote[1287].speaker SPEAKER_11
transcript.pyannote[1287].start 8069.85846875
transcript.pyannote[1287].end 8083.05471875
transcript.pyannote[1288].speaker SPEAKER_14
transcript.pyannote[1288].start 8080.42221875
transcript.pyannote[1288].end 8080.79346875
transcript.pyannote[1289].speaker SPEAKER_14
transcript.pyannote[1289].start 8082.66659375
transcript.pyannote[1289].end 8083.02096875
transcript.pyannote[1290].speaker SPEAKER_14
transcript.pyannote[1290].start 8083.05471875
transcript.pyannote[1290].end 8097.48284375
transcript.pyannote[1291].speaker SPEAKER_14
transcript.pyannote[1291].start 8098.02284375
transcript.pyannote[1291].end 8101.73534375
transcript.pyannote[1292].speaker SPEAKER_13
transcript.pyannote[1292].start 8100.48659375
transcript.pyannote[1292].end 8100.84096875
transcript.pyannote[1293].speaker SPEAKER_14
transcript.pyannote[1293].start 8103.33846875
transcript.pyannote[1293].end 8105.58284375
transcript.pyannote[1294].speaker SPEAKER_14
transcript.pyannote[1294].start 8106.39284375
transcript.pyannote[1294].end 8106.62909375
transcript.pyannote[1295].speaker SPEAKER_11
transcript.pyannote[1295].start 8106.62909375
transcript.pyannote[1295].end 8106.67971875
transcript.pyannote[1296].speaker SPEAKER_14
transcript.pyannote[1296].start 8106.67971875
transcript.pyannote[1296].end 8109.43034375
transcript.pyannote[1297].speaker SPEAKER_11
transcript.pyannote[1297].start 8106.71346875
transcript.pyannote[1297].end 8116.01159375
transcript.pyannote[1298].speaker SPEAKER_14
transcript.pyannote[1298].start 8114.71221875
transcript.pyannote[1298].end 8115.37034375
transcript.pyannote[1299].speaker SPEAKER_14
transcript.pyannote[1299].start 8116.01159375
transcript.pyannote[1299].end 8116.06221875
transcript.pyannote[1300].speaker SPEAKER_14
transcript.pyannote[1300].start 8116.26471875
transcript.pyannote[1300].end 8139.63659375
transcript.pyannote[1301].speaker SPEAKER_14
transcript.pyannote[1301].start 8140.22721875
transcript.pyannote[1301].end 8145.32346875
transcript.pyannote[1302].speaker SPEAKER_11
transcript.pyannote[1302].start 8143.18034375
transcript.pyannote[1302].end 8144.41221875
transcript.pyannote[1303].speaker SPEAKER_11
transcript.pyannote[1303].start 8145.32346875
transcript.pyannote[1303].end 8145.34034375
transcript.pyannote[1304].speaker SPEAKER_14
transcript.pyannote[1304].start 8145.34034375
transcript.pyannote[1304].end 8145.35721875
transcript.pyannote[1305].speaker SPEAKER_11
transcript.pyannote[1305].start 8145.35721875
transcript.pyannote[1305].end 8145.44159375
transcript.pyannote[1306].speaker SPEAKER_14
transcript.pyannote[1306].start 8145.44159375
transcript.pyannote[1306].end 8145.49221875
transcript.pyannote[1307].speaker SPEAKER_11
transcript.pyannote[1307].start 8145.49221875
transcript.pyannote[1307].end 8145.84659375
transcript.pyannote[1308].speaker SPEAKER_14
transcript.pyannote[1308].start 8145.84659375
transcript.pyannote[1308].end 8145.89721875
transcript.pyannote[1309].speaker SPEAKER_11
transcript.pyannote[1309].start 8145.89721875
transcript.pyannote[1309].end 8149.06971875
transcript.pyannote[1310].speaker SPEAKER_14
transcript.pyannote[1310].start 8147.41596875
transcript.pyannote[1310].end 8158.90784375
transcript.pyannote[1311].speaker SPEAKER_11
transcript.pyannote[1311].start 8153.25471875
transcript.pyannote[1311].end 8154.18284375
transcript.pyannote[1312].speaker SPEAKER_11
transcript.pyannote[1312].start 8158.08096875
transcript.pyannote[1312].end 8160.08909375
transcript.pyannote[1313].speaker SPEAKER_11
transcript.pyannote[1313].start 8160.49409375
transcript.pyannote[1313].end 8164.83096875
transcript.pyannote[1314].speaker SPEAKER_14
transcript.pyannote[1314].start 8164.86471875
transcript.pyannote[1314].end 8185.78971875
transcript.pyannote[1315].speaker SPEAKER_11
transcript.pyannote[1315].start 8165.18534375
transcript.pyannote[1315].end 8166.97409375
transcript.pyannote[1316].speaker SPEAKER_11
transcript.pyannote[1316].start 8183.93346875
transcript.pyannote[1316].end 8192.40471875
transcript.pyannote[1317].speaker SPEAKER_14
transcript.pyannote[1317].start 8189.68784375
transcript.pyannote[1317].end 8191.59471875
transcript.pyannote[1318].speaker SPEAKER_10
transcript.pyannote[1318].start 8191.59471875
transcript.pyannote[1318].end 8191.61159375
transcript.pyannote[1319].speaker SPEAKER_11
transcript.pyannote[1319].start 8193.07971875
transcript.pyannote[1319].end 8194.53096875
transcript.pyannote[1320].speaker SPEAKER_11
transcript.pyannote[1320].start 8195.17221875
transcript.pyannote[1320].end 8197.97346875
transcript.pyannote[1321].speaker SPEAKER_11
transcript.pyannote[1321].start 8198.37846875
transcript.pyannote[1321].end 8198.85096875
transcript.pyannote[1322].speaker SPEAKER_11
transcript.pyannote[1322].start 8199.86346875
transcript.pyannote[1322].end 8206.41096875
transcript.pyannote[1323].speaker SPEAKER_11
transcript.pyannote[1323].start 8207.18721875
transcript.pyannote[1323].end 8217.29534375
transcript.pyannote[1324].speaker SPEAKER_11
transcript.pyannote[1324].start 8218.05471875
transcript.pyannote[1324].end 8227.60596875
transcript.pyannote[1325].speaker SPEAKER_04
transcript.pyannote[1325].start 8225.53034375
transcript.pyannote[1325].end 8225.95221875
transcript.pyannote[1326].speaker SPEAKER_04
transcript.pyannote[1326].start 8226.54284375
transcript.pyannote[1326].end 8230.13721875
transcript.pyannote[1327].speaker SPEAKER_11
transcript.pyannote[1327].start 8228.41596875
transcript.pyannote[1327].end 8229.02346875
transcript.pyannote[1328].speaker SPEAKER_11
transcript.pyannote[1328].start 8229.85034375
transcript.pyannote[1328].end 8230.49159375
transcript.pyannote[1329].speaker SPEAKER_11
transcript.pyannote[1329].start 8230.54221875
transcript.pyannote[1329].end 8231.11596875
transcript.pyannote[1330].speaker SPEAKER_04
transcript.pyannote[1330].start 8231.23409375
transcript.pyannote[1330].end 8233.84971875
transcript.pyannote[1331].speaker SPEAKER_11
transcript.pyannote[1331].start 8231.58846875
transcript.pyannote[1331].end 8232.31409375
transcript.pyannote[1332].speaker SPEAKER_04
transcript.pyannote[1332].start 8234.23784375
transcript.pyannote[1332].end 8235.46971875
transcript.pyannote[1333].speaker SPEAKER_11
transcript.pyannote[1333].start 8234.77784375
transcript.pyannote[1333].end 8235.57096875
transcript.pyannote[1334].speaker SPEAKER_04
transcript.pyannote[1334].start 8236.00971875
transcript.pyannote[1334].end 8237.02221875
transcript.pyannote[1335].speaker SPEAKER_11
transcript.pyannote[1335].start 8236.60034375
transcript.pyannote[1335].end 8238.27096875
transcript.pyannote[1336].speaker SPEAKER_04
transcript.pyannote[1336].start 8238.16971875
transcript.pyannote[1336].end 8240.81909375
transcript.pyannote[1337].speaker SPEAKER_21
transcript.pyannote[1337].start 8238.27096875
transcript.pyannote[1337].end 8238.32159375
transcript.pyannote[1338].speaker SPEAKER_11
transcript.pyannote[1338].start 8238.32159375
transcript.pyannote[1338].end 8238.47346875
transcript.pyannote[1339].speaker SPEAKER_11
transcript.pyannote[1339].start 8238.72659375
transcript.pyannote[1339].end 8238.96284375
transcript.pyannote[1340].speaker SPEAKER_21
transcript.pyannote[1340].start 8238.96284375
transcript.pyannote[1340].end 8239.01346875
transcript.pyannote[1341].speaker SPEAKER_04
transcript.pyannote[1341].start 8240.97096875
transcript.pyannote[1341].end 8242.08471875
transcript.pyannote[1342].speaker SPEAKER_21
transcript.pyannote[1342].start 8243.40096875
transcript.pyannote[1342].end 8349.83159375
transcript.pyannote[1343].speaker SPEAKER_14
transcript.pyannote[1343].start 8350.72596875
transcript.pyannote[1343].end 8354.86034375
transcript.pyannote[1344].speaker SPEAKER_14
transcript.pyannote[1344].start 8355.01221875
transcript.pyannote[1344].end 8360.26034375
transcript.pyannote[1345].speaker SPEAKER_14
transcript.pyannote[1345].start 8360.32784375
transcript.pyannote[1345].end 8378.38409375
transcript.pyannote[1346].speaker SPEAKER_17
transcript.pyannote[1346].start 8378.38409375
transcript.pyannote[1346].end 8378.41784375
transcript.pyannote[1347].speaker SPEAKER_21
transcript.pyannote[1347].start 8378.41784375
transcript.pyannote[1347].end 8383.81784375
transcript.pyannote[1348].speaker SPEAKER_14
transcript.pyannote[1348].start 8383.96971875
transcript.pyannote[1348].end 8385.43784375
transcript.pyannote[1349].speaker SPEAKER_21
transcript.pyannote[1349].start 8385.43784375
transcript.pyannote[1349].end 8385.74159375
transcript.pyannote[1350].speaker SPEAKER_21
transcript.pyannote[1350].start 8386.01159375
transcript.pyannote[1350].end 8386.21409375
transcript.pyannote[1351].speaker SPEAKER_14
transcript.pyannote[1351].start 8386.21409375
transcript.pyannote[1351].end 8396.22096875
transcript.pyannote[1352].speaker SPEAKER_04
transcript.pyannote[1352].start 8393.35221875
transcript.pyannote[1352].end 8394.36471875
transcript.pyannote[1353].speaker SPEAKER_04
transcript.pyannote[1353].start 8398.58346875
transcript.pyannote[1353].end 8403.42659375
transcript.pyannote[1354].speaker SPEAKER_14
transcript.pyannote[1354].start 8398.75221875
transcript.pyannote[1354].end 8400.57471875
transcript.pyannote[1355].speaker SPEAKER_04
transcript.pyannote[1355].start 8403.47721875
transcript.pyannote[1355].end 8404.91159375
transcript.pyannote[1356].speaker SPEAKER_17
transcript.pyannote[1356].start 8403.52784375
transcript.pyannote[1356].end 8403.76409375
transcript.pyannote[1357].speaker SPEAKER_14
transcript.pyannote[1357].start 8403.76409375
transcript.pyannote[1357].end 8404.54034375
transcript.pyannote[1358].speaker SPEAKER_17
transcript.pyannote[1358].start 8404.54034375
transcript.pyannote[1358].end 8404.84409375
transcript.pyannote[1359].speaker SPEAKER_04
transcript.pyannote[1359].start 8405.40096875
transcript.pyannote[1359].end 8405.50221875
transcript.pyannote[1360].speaker SPEAKER_04
transcript.pyannote[1360].start 8407.37534375
transcript.pyannote[1360].end 8408.15159375
transcript.pyannote[1361].speaker SPEAKER_14
transcript.pyannote[1361].start 8412.26909375
transcript.pyannote[1361].end 8412.53909375
transcript.pyannote[1362].speaker SPEAKER_14
transcript.pyannote[1362].start 8412.97784375
transcript.pyannote[1362].end 8420.06534375
transcript.pyannote[1363].speaker SPEAKER_14
transcript.pyannote[1363].start 8422.30971875
transcript.pyannote[1363].end 8422.76534375
transcript.pyannote[1364].speaker SPEAKER_04
transcript.pyannote[1364].start 8424.57096875
transcript.pyannote[1364].end 8428.46909375
transcript.pyannote[1365].speaker SPEAKER_04
transcript.pyannote[1365].start 8429.16096875
transcript.pyannote[1365].end 8431.60784375
transcript.pyannote[1366].speaker SPEAKER_14
transcript.pyannote[1366].start 8429.54909375
transcript.pyannote[1366].end 8431.50659375
transcript.pyannote[1367].speaker SPEAKER_14
transcript.pyannote[1367].start 8431.60784375
transcript.pyannote[1367].end 8431.62471875
transcript.pyannote[1368].speaker SPEAKER_14
transcript.pyannote[1368].start 8431.67534375
transcript.pyannote[1368].end 8432.73846875
transcript.pyannote[1369].speaker SPEAKER_04
transcript.pyannote[1369].start 8432.89034375
transcript.pyannote[1369].end 8434.07159375
transcript.pyannote[1370].speaker SPEAKER_14
transcript.pyannote[1370].start 8434.25721875
transcript.pyannote[1370].end 8435.91096875
transcript.pyannote[1371].speaker SPEAKER_04
transcript.pyannote[1371].start 8436.26534375
transcript.pyannote[1371].end 8437.02471875
transcript.pyannote[1372].speaker SPEAKER_14
transcript.pyannote[1372].start 8436.55221875
transcript.pyannote[1372].end 8436.68721875
transcript.pyannote[1373].speaker SPEAKER_04
transcript.pyannote[1373].start 8437.48034375
transcript.pyannote[1373].end 8438.93159375
transcript.pyannote[1374].speaker SPEAKER_04
transcript.pyannote[1374].start 8439.45471875
transcript.pyannote[1374].end 8439.79221875
transcript.pyannote[1375].speaker SPEAKER_04
transcript.pyannote[1375].start 8440.75409375
transcript.pyannote[1375].end 8441.63159375
transcript.pyannote[1376].speaker SPEAKER_14
transcript.pyannote[1376].start 8441.63159375
transcript.pyannote[1376].end 8441.68221875
transcript.pyannote[1377].speaker SPEAKER_04
transcript.pyannote[1377].start 8442.74534375
transcript.pyannote[1377].end 8442.79596875
transcript.pyannote[1378].speaker SPEAKER_14
transcript.pyannote[1378].start 8442.79596875
transcript.pyannote[1378].end 8447.84159375
transcript.pyannote[1379].speaker SPEAKER_14
transcript.pyannote[1379].start 8448.39846875
transcript.pyannote[1379].end 8448.98909375
transcript.pyannote[1380].speaker SPEAKER_00
transcript.pyannote[1380].start 8448.66846875
transcript.pyannote[1380].end 8448.78659375
transcript.pyannote[1381].speaker SPEAKER_14
transcript.pyannote[1381].start 8449.71471875
transcript.pyannote[1381].end 8461.66221875
transcript.pyannote[1382].speaker SPEAKER_17
transcript.pyannote[1382].start 8461.88159375
transcript.pyannote[1382].end 8462.20221875
transcript.pyannote[1383].speaker SPEAKER_14
transcript.pyannote[1383].start 8462.03346875
transcript.pyannote[1383].end 8466.55596875
transcript.pyannote[1384].speaker SPEAKER_04
transcript.pyannote[1384].start 8466.91034375
transcript.pyannote[1384].end 8467.02846875
transcript.pyannote[1385].speaker SPEAKER_04
transcript.pyannote[1385].start 8468.00721875
transcript.pyannote[1385].end 8471.73659375
transcript.pyannote[1386].speaker SPEAKER_14
transcript.pyannote[1386].start 8471.85471875
transcript.pyannote[1386].end 8472.22596875
transcript.pyannote[1387].speaker SPEAKER_14
transcript.pyannote[1387].start 8472.47909375
transcript.pyannote[1387].end 8473.17096875
transcript.pyannote[1388].speaker SPEAKER_14
transcript.pyannote[1388].start 8473.52534375
transcript.pyannote[1388].end 8480.79846875
transcript.pyannote[1389].speaker SPEAKER_04
transcript.pyannote[1389].start 8480.79846875
transcript.pyannote[1389].end 8481.23721875
transcript.pyannote[1390].speaker SPEAKER_14
transcript.pyannote[1390].start 8481.23721875
transcript.pyannote[1390].end 8482.06409375
transcript.pyannote[1391].speaker SPEAKER_14
transcript.pyannote[1391].start 8482.35096875
transcript.pyannote[1391].end 8486.94096875
transcript.pyannote[1392].speaker SPEAKER_04
transcript.pyannote[1392].start 8487.44721875
transcript.pyannote[1392].end 8487.76784375
transcript.pyannote[1393].speaker SPEAKER_04
transcript.pyannote[1393].start 8489.15159375
transcript.pyannote[1393].end 8490.26534375
transcript.pyannote[1394].speaker SPEAKER_14
transcript.pyannote[1394].start 8490.51846875
transcript.pyannote[1394].end 8492.62784375
transcript.pyannote[1395].speaker SPEAKER_04
transcript.pyannote[1395].start 8492.20596875
transcript.pyannote[1395].end 8493.96096875
transcript.pyannote[1396].speaker SPEAKER_04
transcript.pyannote[1396].start 8494.41659375
transcript.pyannote[1396].end 8494.51784375
transcript.pyannote[1397].speaker SPEAKER_14
transcript.pyannote[1397].start 8494.51784375
transcript.pyannote[1397].end 8494.58534375
transcript.pyannote[1398].speaker SPEAKER_04
transcript.pyannote[1398].start 8494.58534375
transcript.pyannote[1398].end 8496.69471875
transcript.pyannote[1399].speaker SPEAKER_14
transcript.pyannote[1399].start 8495.69909375
transcript.pyannote[1399].end 8498.23034375
transcript.pyannote[1400].speaker SPEAKER_14
transcript.pyannote[1400].start 8498.83784375
transcript.pyannote[1400].end 8503.61346875
transcript.pyannote[1401].speaker SPEAKER_17
transcript.pyannote[1401].start 8503.79909375
transcript.pyannote[1401].end 8504.25471875
transcript.pyannote[1402].speaker SPEAKER_14
transcript.pyannote[1402].start 8503.98471875
transcript.pyannote[1402].end 8514.16034375
transcript.pyannote[1403].speaker SPEAKER_14
transcript.pyannote[1403].start 8514.32909375
transcript.pyannote[1403].end 8533.68471875
transcript.pyannote[1404].speaker SPEAKER_14
transcript.pyannote[1404].start 8533.78596875
transcript.pyannote[1404].end 8536.40159375
transcript.pyannote[1405].speaker SPEAKER_04
transcript.pyannote[1405].start 8534.74784375
transcript.pyannote[1405].end 8537.09346875
transcript.pyannote[1406].speaker SPEAKER_04
transcript.pyannote[1406].start 8538.56159375
transcript.pyannote[1406].end 8539.99596875
transcript.pyannote[1407].speaker SPEAKER_04
transcript.pyannote[1407].start 8541.64971875
transcript.pyannote[1407].end 8542.08846875
transcript.pyannote[1408].speaker SPEAKER_14
transcript.pyannote[1408].start 8541.70034375
transcript.pyannote[1408].end 8542.71284375
transcript.pyannote[1409].speaker SPEAKER_04
transcript.pyannote[1409].start 8542.44284375
transcript.pyannote[1409].end 8544.11346875
transcript.pyannote[1410].speaker SPEAKER_14
transcript.pyannote[1410].start 8543.06721875
transcript.pyannote[1410].end 8544.26534375
transcript.pyannote[1411].speaker SPEAKER_04
transcript.pyannote[1411].start 8544.94034375
transcript.pyannote[1411].end 8546.03721875
transcript.pyannote[1412].speaker SPEAKER_14
transcript.pyannote[1412].start 8546.03721875
transcript.pyannote[1412].end 8549.90159375
transcript.pyannote[1413].speaker SPEAKER_04
transcript.pyannote[1413].start 8547.43784375
transcript.pyannote[1413].end 8551.69034375
transcript.pyannote[1414].speaker SPEAKER_04
transcript.pyannote[1414].start 8551.75784375
transcript.pyannote[1414].end 8551.92659375
transcript.pyannote[1415].speaker SPEAKER_14
transcript.pyannote[1415].start 8551.92659375
transcript.pyannote[1415].end 8570.89409375
transcript.pyannote[1416].speaker SPEAKER_19
transcript.pyannote[1416].start 8572.68284375
transcript.pyannote[1416].end 8575.60221875
transcript.pyannote[1417].speaker SPEAKER_19
transcript.pyannote[1417].start 8577.25596875
transcript.pyannote[1417].end 8578.80846875
transcript.pyannote[1418].speaker SPEAKER_04
transcript.pyannote[1418].start 8578.69034375
transcript.pyannote[1418].end 8580.31034375
transcript.pyannote[1419].speaker SPEAKER_19
transcript.pyannote[1419].start 8581.39034375
transcript.pyannote[1419].end 8584.49534375
transcript.pyannote[1420].speaker SPEAKER_19
transcript.pyannote[1420].start 8584.81596875
transcript.pyannote[1420].end 8589.16971875
transcript.pyannote[1421].speaker SPEAKER_19
transcript.pyannote[1421].start 8589.87846875
transcript.pyannote[1421].end 8591.53221875
transcript.pyannote[1422].speaker SPEAKER_19
transcript.pyannote[1422].start 8592.35909375
transcript.pyannote[1422].end 8602.02846875
transcript.pyannote[1423].speaker SPEAKER_19
transcript.pyannote[1423].start 8602.45034375
transcript.pyannote[1423].end 8624.03346875
transcript.pyannote[1424].speaker SPEAKER_19
transcript.pyannote[1424].start 8625.70409375
transcript.pyannote[1424].end 8629.50096875
transcript.pyannote[1425].speaker SPEAKER_19
transcript.pyannote[1425].start 8630.34471875
transcript.pyannote[1425].end 8632.53846875
transcript.pyannote[1426].speaker SPEAKER_19
transcript.pyannote[1426].start 8632.82534375
transcript.pyannote[1426].end 8635.86284375
transcript.pyannote[1427].speaker SPEAKER_14
transcript.pyannote[1427].start 8636.74034375
transcript.pyannote[1427].end 8672.43096875
transcript.pyannote[1428].speaker SPEAKER_14
transcript.pyannote[1428].start 8672.48159375
transcript.pyannote[1428].end 8742.02346875
transcript.pyannote[1429].speaker SPEAKER_14
transcript.pyannote[1429].start 8742.17534375
transcript.pyannote[1429].end 8746.76534375
transcript.pyannote[1430].speaker SPEAKER_14
transcript.pyannote[1430].start 8746.81596875
transcript.pyannote[1430].end 8749.93784375
transcript.pyannote[1431].speaker SPEAKER_14
transcript.pyannote[1431].start 8750.08971875
transcript.pyannote[1431].end 8750.39346875
transcript.pyannote[1432].speaker SPEAKER_14
transcript.pyannote[1432].start 8750.51159375
transcript.pyannote[1432].end 8754.93284375
transcript.pyannote[1433].speaker SPEAKER_14
transcript.pyannote[1433].start 8755.05096875
transcript.pyannote[1433].end 8769.29346875
transcript.pyannote[1434].speaker SPEAKER_19
transcript.pyannote[1434].start 8769.74909375
transcript.pyannote[1434].end 8773.64721875
transcript.pyannote[1435].speaker SPEAKER_19
transcript.pyannote[1435].start 8774.15346875
transcript.pyannote[1435].end 8775.31784375
transcript.pyannote[1436].speaker SPEAKER_19
transcript.pyannote[1436].start 8775.45284375
transcript.pyannote[1436].end 8788.19346875
transcript.pyannote[1437].speaker SPEAKER_19
transcript.pyannote[1437].start 8789.13846875
transcript.pyannote[1437].end 8789.83034375
transcript.pyannote[1438].speaker SPEAKER_19
transcript.pyannote[1438].start 8789.94846875
transcript.pyannote[1438].end 8793.45846875
transcript.pyannote[1439].speaker SPEAKER_19
transcript.pyannote[1439].start 8793.74534375
transcript.pyannote[1439].end 8795.63534375
transcript.pyannote[1440].speaker SPEAKER_19
transcript.pyannote[1440].start 8795.90534375
transcript.pyannote[1440].end 8817.70784375
transcript.pyannote[1441].speaker SPEAKER_19
transcript.pyannote[1441].start 8817.99471875
transcript.pyannote[1441].end 8824.71096875
transcript.pyannote[1442].speaker SPEAKER_19
transcript.pyannote[1442].start 8825.65596875
transcript.pyannote[1442].end 8826.68534375
transcript.pyannote[1443].speaker SPEAKER_19
transcript.pyannote[1443].start 8827.25909375
transcript.pyannote[1443].end 8829.11534375
transcript.pyannote[1444].speaker SPEAKER_19
transcript.pyannote[1444].start 8829.92534375
transcript.pyannote[1444].end 8863.08471875
transcript.pyannote[1445].speaker SPEAKER_19
transcript.pyannote[1445].start 8863.59096875
transcript.pyannote[1445].end 8864.41784375
transcript.pyannote[1446].speaker SPEAKER_19
transcript.pyannote[1446].start 8865.76784375
transcript.pyannote[1446].end 8866.98284375
transcript.pyannote[1447].speaker SPEAKER_17
transcript.pyannote[1447].start 8866.98284375
transcript.pyannote[1447].end 8866.99971875
transcript.pyannote[1448].speaker SPEAKER_14
transcript.pyannote[1448].start 8866.99971875
transcript.pyannote[1448].end 8867.48909375
transcript.pyannote[1449].speaker SPEAKER_19
transcript.pyannote[1449].start 8867.42159375
transcript.pyannote[1449].end 8869.61534375
transcript.pyannote[1450].speaker SPEAKER_14
transcript.pyannote[1450].start 8870.35784375
transcript.pyannote[1450].end 8874.96471875
transcript.pyannote[1451].speaker SPEAKER_19
transcript.pyannote[1451].start 8873.39534375
transcript.pyannote[1451].end 8873.91846875
transcript.pyannote[1452].speaker SPEAKER_19
transcript.pyannote[1452].start 8874.25596875
transcript.pyannote[1452].end 8877.66471875
transcript.pyannote[1453].speaker SPEAKER_14
transcript.pyannote[1453].start 8878.66034375
transcript.pyannote[1453].end 8884.90409375
transcript.pyannote[1454].speaker SPEAKER_14
transcript.pyannote[1454].start 8884.92096875
transcript.pyannote[1454].end 8890.33784375
transcript.pyannote[1455].speaker SPEAKER_19
transcript.pyannote[1455].start 8889.02159375
transcript.pyannote[1455].end 8895.26534375
transcript.pyannote[1456].speaker SPEAKER_19
transcript.pyannote[1456].start 8895.72096875
transcript.pyannote[1456].end 8898.58971875
transcript.pyannote[1457].speaker SPEAKER_19
transcript.pyannote[1457].start 8900.09159375
transcript.pyannote[1457].end 8900.34471875
transcript.pyannote[1458].speaker SPEAKER_14
transcript.pyannote[1458].start 8900.34471875
transcript.pyannote[1458].end 8904.86721875
transcript.pyannote[1459].speaker SPEAKER_14
transcript.pyannote[1459].start 8905.13721875
transcript.pyannote[1459].end 8906.43659375
transcript.pyannote[1460].speaker SPEAKER_17
transcript.pyannote[1460].start 8906.43659375
transcript.pyannote[1460].end 8906.82471875
transcript.pyannote[1461].speaker SPEAKER_14
transcript.pyannote[1461].start 8906.82471875
transcript.pyannote[1461].end 8930.98971875
transcript.pyannote[1462].speaker SPEAKER_14
transcript.pyannote[1462].start 8931.27659375
transcript.pyannote[1462].end 8932.76159375
transcript.pyannote[1463].speaker SPEAKER_19
transcript.pyannote[1463].start 8932.93034375
transcript.pyannote[1463].end 8933.18346875
transcript.pyannote[1464].speaker SPEAKER_19
transcript.pyannote[1464].start 8933.62221875
transcript.pyannote[1464].end 8941.28346875
transcript.pyannote[1465].speaker SPEAKER_14
transcript.pyannote[1465].start 8942.00909375
transcript.pyannote[1465].end 8949.92346875
transcript.pyannote[1466].speaker SPEAKER_14
transcript.pyannote[1466].start 8951.39159375
transcript.pyannote[1466].end 8953.23096875
transcript.pyannote[1467].speaker SPEAKER_14
transcript.pyannote[1467].start 8954.88471875
transcript.pyannote[1467].end 8961.60096875
transcript.pyannote[1468].speaker SPEAKER_19
transcript.pyannote[1468].start 8960.55471875
transcript.pyannote[1468].end 8971.08471875
transcript.pyannote[1469].speaker SPEAKER_19
transcript.pyannote[1469].start 8971.60784375
transcript.pyannote[1469].end 8972.16471875
transcript.pyannote[1470].speaker SPEAKER_19
transcript.pyannote[1470].start 8972.29971875
transcript.pyannote[1470].end 8972.95784375
transcript.pyannote[1471].speaker SPEAKER_14
transcript.pyannote[1471].start 8972.73846875
transcript.pyannote[1471].end 8973.71721875
transcript.pyannote[1472].speaker SPEAKER_19
transcript.pyannote[1472].start 8973.95346875
transcript.pyannote[1472].end 8974.37534375
transcript.pyannote[1473].speaker SPEAKER_14
transcript.pyannote[1473].start 8974.02096875
transcript.pyannote[1473].end 8974.03784375
transcript.pyannote[1474].speaker SPEAKER_04
transcript.pyannote[1474].start 8974.03784375
transcript.pyannote[1474].end 8976.09659375
transcript.pyannote[1475].speaker SPEAKER_19
transcript.pyannote[1475].start 8976.31596875
transcript.pyannote[1475].end 8978.18909375
transcript.pyannote[1476].speaker SPEAKER_19
transcript.pyannote[1476].start 8978.35784375
transcript.pyannote[1476].end 8980.19721875
transcript.pyannote[1477].speaker SPEAKER_19
transcript.pyannote[1477].start 8980.39971875
transcript.pyannote[1477].end 8980.65284375
transcript.pyannote[1478].speaker SPEAKER_04
transcript.pyannote[1478].start 8980.90596875
transcript.pyannote[1478].end 8982.64409375
transcript.pyannote[1479].speaker SPEAKER_14
transcript.pyannote[1479].start 8982.64409375
transcript.pyannote[1479].end 8982.66096875
transcript.pyannote[1480].speaker SPEAKER_19
transcript.pyannote[1480].start 8984.65221875
transcript.pyannote[1480].end 8986.18784375
transcript.pyannote[1481].speaker SPEAKER_14
transcript.pyannote[1481].start 8985.69846875
transcript.pyannote[1481].end 8986.00221875
transcript.pyannote[1482].speaker SPEAKER_14
transcript.pyannote[1482].start 8986.54221875
transcript.pyannote[1482].end 8999.58659375
transcript.pyannote[1483].speaker SPEAKER_19
transcript.pyannote[1483].start 8999.08034375
transcript.pyannote[1483].end 9005.00346875
transcript.pyannote[1484].speaker SPEAKER_17
transcript.pyannote[1484].start 9005.00346875
transcript.pyannote[1484].end 9005.03721875
transcript.pyannote[1485].speaker SPEAKER_19
transcript.pyannote[1485].start 9005.03721875
transcript.pyannote[1485].end 9011.38221875
transcript.pyannote[1486].speaker SPEAKER_19
transcript.pyannote[1486].start 9011.68596875
transcript.pyannote[1486].end 9020.47784375
transcript.pyannote[1487].speaker SPEAKER_04
transcript.pyannote[1487].start 9018.60471875
transcript.pyannote[1487].end 9021.40596875
transcript.pyannote[1488].speaker SPEAKER_14
transcript.pyannote[1488].start 9020.47784375
transcript.pyannote[1488].end 9020.66346875
transcript.pyannote[1489].speaker SPEAKER_04
transcript.pyannote[1489].start 9022.58721875
transcript.pyannote[1489].end 9023.16096875
transcript.pyannote[1490].speaker SPEAKER_04
transcript.pyannote[1490].start 9025.32096875
transcript.pyannote[1490].end 9026.02971875
transcript.pyannote[1491].speaker SPEAKER_04
transcript.pyannote[1491].start 9028.13909375
transcript.pyannote[1491].end 9029.15159375
transcript.pyannote[1492].speaker SPEAKER_14
transcript.pyannote[1492].start 9028.20659375
transcript.pyannote[1492].end 9028.52721875
transcript.pyannote[1493].speaker SPEAKER_14
transcript.pyannote[1493].start 9029.15159375
transcript.pyannote[1493].end 9035.88471875
transcript.pyannote[1494].speaker SPEAKER_04
transcript.pyannote[1494].start 9031.61534375
transcript.pyannote[1494].end 9031.88534375
transcript.pyannote[1495].speaker SPEAKER_14
transcript.pyannote[1495].start 9036.40784375
transcript.pyannote[1495].end 9038.11221875
transcript.pyannote[1496].speaker SPEAKER_04
transcript.pyannote[1496].start 9036.44159375
transcript.pyannote[1496].end 9037.42034375
transcript.pyannote[1497].speaker SPEAKER_04
transcript.pyannote[1497].start 9038.31471875
transcript.pyannote[1497].end 9041.33534375
transcript.pyannote[1498].speaker SPEAKER_14
transcript.pyannote[1498].start 9038.75346875
transcript.pyannote[1498].end 9039.46221875
transcript.pyannote[1499].speaker SPEAKER_14
transcript.pyannote[1499].start 9042.22971875
transcript.pyannote[1499].end 9049.01346875
transcript.pyannote[1500].speaker SPEAKER_04
transcript.pyannote[1500].start 9048.27096875
transcript.pyannote[1500].end 9050.68409375
transcript.pyannote[1501].speaker SPEAKER_14
transcript.pyannote[1501].start 9051.03846875
transcript.pyannote[1501].end 9055.94909375
transcript.pyannote[1502].speaker SPEAKER_04
transcript.pyannote[1502].start 9056.08409375
transcript.pyannote[1502].end 9058.61534375
transcript.pyannote[1503].speaker SPEAKER_14
transcript.pyannote[1503].start 9058.61534375
transcript.pyannote[1503].end 9059.10471875
transcript.pyannote[1504].speaker SPEAKER_04
transcript.pyannote[1504].start 9059.02034375
transcript.pyannote[1504].end 9061.73721875
transcript.pyannote[1505].speaker SPEAKER_14
transcript.pyannote[1505].start 9061.99034375
transcript.pyannote[1505].end 9062.73284375
transcript.pyannote[1506].speaker SPEAKER_04
transcript.pyannote[1506].start 9062.26034375
transcript.pyannote[1506].end 9064.31909375
transcript.pyannote[1507].speaker SPEAKER_14
transcript.pyannote[1507].start 9063.81284375
transcript.pyannote[1507].end 9064.63971875
transcript.pyannote[1508].speaker SPEAKER_04
transcript.pyannote[1508].start 9064.45409375
transcript.pyannote[1508].end 9065.83784375
transcript.pyannote[1509].speaker SPEAKER_14
transcript.pyannote[1509].start 9065.01096875
transcript.pyannote[1509].end 9065.44971875
transcript.pyannote[1510].speaker SPEAKER_14
transcript.pyannote[1510].start 9066.39471875
transcript.pyannote[1510].end 9068.06534375
transcript.pyannote[1511].speaker SPEAKER_04
transcript.pyannote[1511].start 9067.55909375
transcript.pyannote[1511].end 9068.21721875
transcript.pyannote[1512].speaker SPEAKER_14
transcript.pyannote[1512].start 9068.21721875
transcript.pyannote[1512].end 9068.55471875
transcript.pyannote[1513].speaker SPEAKER_04
transcript.pyannote[1513].start 9068.97659375
transcript.pyannote[1513].end 9070.19159375
transcript.pyannote[1514].speaker SPEAKER_14
transcript.pyannote[1514].start 9069.87096875
transcript.pyannote[1514].end 9071.00159375
transcript.pyannote[1515].speaker SPEAKER_04
transcript.pyannote[1515].start 9070.68096875
transcript.pyannote[1515].end 9071.44034375
transcript.pyannote[1516].speaker SPEAKER_24
transcript.pyannote[1516].start 9071.44034375
transcript.pyannote[1516].end 9071.45721875
transcript.pyannote[1517].speaker SPEAKER_04
transcript.pyannote[1517].start 9073.16159375
transcript.pyannote[1517].end 9073.17846875
transcript.pyannote[1518].speaker SPEAKER_24
transcript.pyannote[1518].start 9073.17846875
transcript.pyannote[1518].end 9128.42721875
transcript.pyannote[1519].speaker SPEAKER_14
transcript.pyannote[1519].start 9074.34284375
transcript.pyannote[1519].end 9075.13596875
transcript.pyannote[1520].speaker SPEAKER_24
transcript.pyannote[1520].start 9128.66346875
transcript.pyannote[1520].end 9135.53159375
transcript.pyannote[1521].speaker SPEAKER_24
transcript.pyannote[1521].start 9136.22346875
transcript.pyannote[1521].end 9168.30284375
transcript.pyannote[1522].speaker SPEAKER_19
transcript.pyannote[1522].start 9169.55159375
transcript.pyannote[1522].end 9172.06596875
transcript.pyannote[1523].speaker SPEAKER_24
transcript.pyannote[1523].start 9170.95221875
transcript.pyannote[1523].end 9171.47534375
transcript.pyannote[1524].speaker SPEAKER_17
transcript.pyannote[1524].start 9171.47534375
transcript.pyannote[1524].end 9171.55971875
transcript.pyannote[1525].speaker SPEAKER_19
transcript.pyannote[1525].start 9172.60596875
transcript.pyannote[1525].end 9179.03534375
transcript.pyannote[1526].speaker SPEAKER_19
transcript.pyannote[1526].start 9179.44034375
transcript.pyannote[1526].end 9181.39784375
transcript.pyannote[1527].speaker SPEAKER_19
transcript.pyannote[1527].start 9181.95471875
transcript.pyannote[1527].end 9185.83596875
transcript.pyannote[1528].speaker SPEAKER_19
transcript.pyannote[1528].start 9186.12284375
transcript.pyannote[1528].end 9187.67534375
transcript.pyannote[1529].speaker SPEAKER_19
transcript.pyannote[1529].start 9188.58659375
transcript.pyannote[1529].end 9190.45971875
transcript.pyannote[1530].speaker SPEAKER_19
transcript.pyannote[1530].start 9190.81409375
transcript.pyannote[1530].end 9206.27159375
transcript.pyannote[1531].speaker SPEAKER_19
transcript.pyannote[1531].start 9207.19971875
transcript.pyannote[1531].end 9214.30409375
transcript.pyannote[1532].speaker SPEAKER_19
transcript.pyannote[1532].start 9214.43909375
transcript.pyannote[1532].end 9218.05034375
transcript.pyannote[1533].speaker SPEAKER_19
transcript.pyannote[1533].start 9218.77596875
transcript.pyannote[1533].end 9219.77159375
transcript.pyannote[1534].speaker SPEAKER_19
transcript.pyannote[1534].start 9220.48034375
transcript.pyannote[1534].end 9222.48846875
transcript.pyannote[1535].speaker SPEAKER_19
transcript.pyannote[1535].start 9222.94409375
transcript.pyannote[1535].end 9223.97346875
transcript.pyannote[1536].speaker SPEAKER_19
transcript.pyannote[1536].start 9225.23909375
transcript.pyannote[1536].end 9225.59346875
transcript.pyannote[1537].speaker SPEAKER_19
transcript.pyannote[1537].start 9226.31909375
transcript.pyannote[1537].end 9230.90909375
transcript.pyannote[1538].speaker SPEAKER_19
transcript.pyannote[1538].start 9230.95971875
transcript.pyannote[1538].end 9231.02721875
transcript.pyannote[1539].speaker SPEAKER_19
transcript.pyannote[1539].start 9231.06096875
transcript.pyannote[1539].end 9231.90471875
transcript.pyannote[1540].speaker SPEAKER_19
transcript.pyannote[1540].start 9233.18721875
transcript.pyannote[1540].end 9234.04784375
transcript.pyannote[1541].speaker SPEAKER_19
transcript.pyannote[1541].start 9237.43971875
transcript.pyannote[1541].end 9237.65909375
transcript.pyannote[1542].speaker SPEAKER_19
transcript.pyannote[1542].start 9240.42659375
transcript.pyannote[1542].end 9245.57346875
transcript.pyannote[1543].speaker SPEAKER_19
transcript.pyannote[1543].start 9245.74221875
transcript.pyannote[1543].end 9246.31596875
transcript.pyannote[1544].speaker SPEAKER_07
transcript.pyannote[1544].start 9248.44221875
transcript.pyannote[1544].end 9248.89784375
transcript.pyannote[1545].speaker SPEAKER_07
transcript.pyannote[1545].start 9249.26909375
transcript.pyannote[1545].end 9256.96409375
transcript.pyannote[1546].speaker SPEAKER_07
transcript.pyannote[1546].start 9258.49971875
transcript.pyannote[1546].end 9259.86659375
transcript.pyannote[1547].speaker SPEAKER_19
transcript.pyannote[1547].start 9259.86659375
transcript.pyannote[1547].end 9259.88346875
transcript.pyannote[1548].speaker SPEAKER_07
transcript.pyannote[1548].start 9260.25471875
transcript.pyannote[1548].end 9260.37284375
transcript.pyannote[1549].speaker SPEAKER_19
transcript.pyannote[1549].start 9260.37284375
transcript.pyannote[1549].end 9260.44034375
transcript.pyannote[1550].speaker SPEAKER_07
transcript.pyannote[1550].start 9260.44034375
transcript.pyannote[1550].end 9260.72721875
transcript.pyannote[1551].speaker SPEAKER_19
transcript.pyannote[1551].start 9260.72721875
transcript.pyannote[1551].end 9266.76846875
transcript.pyannote[1552].speaker SPEAKER_07
transcript.pyannote[1552].start 9262.00971875
transcript.pyannote[1552].end 9264.49034375
transcript.pyannote[1553].speaker SPEAKER_14
transcript.pyannote[1553].start 9270.88596875
transcript.pyannote[1553].end 9276.01596875
transcript.pyannote[1554].speaker SPEAKER_19
transcript.pyannote[1554].start 9276.74159375
transcript.pyannote[1554].end 9279.81284375
transcript.pyannote[1555].speaker SPEAKER_19
transcript.pyannote[1555].start 9279.86346875
transcript.pyannote[1555].end 9289.26284375
transcript.pyannote[1556].speaker SPEAKER_19
transcript.pyannote[1556].start 9291.96284375
transcript.pyannote[1556].end 9293.29596875
transcript.pyannote[1557].speaker SPEAKER_01
transcript.pyannote[1557].start 9293.29596875
transcript.pyannote[1557].end 9301.46346875
transcript.pyannote[1558].speaker SPEAKER_01
transcript.pyannote[1558].start 9302.20596875
transcript.pyannote[1558].end 9305.61471875
transcript.pyannote[1559].speaker SPEAKER_01
transcript.pyannote[1559].start 9306.10409375
transcript.pyannote[1559].end 9313.96784375
transcript.pyannote[1560].speaker SPEAKER_01
transcript.pyannote[1560].start 9314.45721875
transcript.pyannote[1560].end 9329.45909375
transcript.pyannote[1561].speaker SPEAKER_01
transcript.pyannote[1561].start 9330.37034375
transcript.pyannote[1561].end 9334.53846875
transcript.pyannote[1562].speaker SPEAKER_01
transcript.pyannote[1562].start 9334.85909375
transcript.pyannote[1562].end 9335.75346875
transcript.pyannote[1563].speaker SPEAKER_01
transcript.pyannote[1563].start 9335.85471875
transcript.pyannote[1563].end 9339.56721875
transcript.pyannote[1564].speaker SPEAKER_01
transcript.pyannote[1564].start 9340.12409375
transcript.pyannote[1564].end 9347.46471875
transcript.pyannote[1565].speaker SPEAKER_01
transcript.pyannote[1565].start 9348.20721875
transcript.pyannote[1565].end 9352.76346875
transcript.pyannote[1566].speaker SPEAKER_01
transcript.pyannote[1566].start 9353.52284375
transcript.pyannote[1566].end 9360.18846875
transcript.pyannote[1567].speaker SPEAKER_01
transcript.pyannote[1567].start 9360.59346875
transcript.pyannote[1567].end 9361.03221875
transcript.pyannote[1568].speaker SPEAKER_01
transcript.pyannote[1568].start 9361.40346875
transcript.pyannote[1568].end 9363.52971875
transcript.pyannote[1569].speaker SPEAKER_01
transcript.pyannote[1569].start 9363.79971875
transcript.pyannote[1569].end 9364.08659375
transcript.pyannote[1570].speaker SPEAKER_01
transcript.pyannote[1570].start 9364.35659375
transcript.pyannote[1570].end 9366.93846875
transcript.pyannote[1571].speaker SPEAKER_01
transcript.pyannote[1571].start 9367.66409375
transcript.pyannote[1571].end 9369.85784375
transcript.pyannote[1572].speaker SPEAKER_01
transcript.pyannote[1572].start 9370.29659375
transcript.pyannote[1572].end 9373.13159375
transcript.pyannote[1573].speaker SPEAKER_01
transcript.pyannote[1573].start 9373.48596875
transcript.pyannote[1573].end 9374.80221875
transcript.pyannote[1574].speaker SPEAKER_01
transcript.pyannote[1574].start 9375.17346875
transcript.pyannote[1574].end 9376.42221875
transcript.pyannote[1575].speaker SPEAKER_01
transcript.pyannote[1575].start 9377.02971875
transcript.pyannote[1575].end 9378.85221875
transcript.pyannote[1576].speaker SPEAKER_01
transcript.pyannote[1576].start 9379.45971875
transcript.pyannote[1576].end 9386.86784375
transcript.pyannote[1577].speaker SPEAKER_01
transcript.pyannote[1577].start 9387.62721875
transcript.pyannote[1577].end 9394.47846875
transcript.pyannote[1578].speaker SPEAKER_01
transcript.pyannote[1578].start 9394.69784375
transcript.pyannote[1578].end 9395.98034375
transcript.pyannote[1579].speaker SPEAKER_01
transcript.pyannote[1579].start 9396.45284375
transcript.pyannote[1579].end 9423.13221875
transcript.pyannote[1580].speaker SPEAKER_01
transcript.pyannote[1580].start 9424.09409375
transcript.pyannote[1580].end 9426.40596875
transcript.pyannote[1581].speaker SPEAKER_01
transcript.pyannote[1581].start 9426.86159375
transcript.pyannote[1581].end 9442.04909375
transcript.pyannote[1582].speaker SPEAKER_01
transcript.pyannote[1582].start 9442.58909375
transcript.pyannote[1582].end 9445.79534375
transcript.pyannote[1583].speaker SPEAKER_19
transcript.pyannote[1583].start 9447.34784375
transcript.pyannote[1583].end 9447.36471875
transcript.pyannote[1584].speaker SPEAKER_17
transcript.pyannote[1584].start 9447.36471875
transcript.pyannote[1584].end 9447.97221875
transcript.pyannote[1585].speaker SPEAKER_19
transcript.pyannote[1585].start 9447.97221875
transcript.pyannote[1585].end 9447.98909375
transcript.pyannote[1586].speaker SPEAKER_19
transcript.pyannote[1586].start 9449.00159375
transcript.pyannote[1586].end 9459.80159375
transcript.pyannote[1587].speaker SPEAKER_19
transcript.pyannote[1587].start 9460.18971875
transcript.pyannote[1587].end 9467.27721875
transcript.pyannote[1588].speaker SPEAKER_19
transcript.pyannote[1588].start 9467.54721875
transcript.pyannote[1588].end 9470.43284375
transcript.pyannote[1589].speaker SPEAKER_19
transcript.pyannote[1589].start 9470.73659375
transcript.pyannote[1589].end 9482.39721875
transcript.pyannote[1590].speaker SPEAKER_19
transcript.pyannote[1590].start 9483.64596875
transcript.pyannote[1590].end 9491.84721875
transcript.pyannote[1591].speaker SPEAKER_04
transcript.pyannote[1591].start 9493.45034375
transcript.pyannote[1591].end 9497.36534375
transcript.pyannote[1592].speaker SPEAKER_19
transcript.pyannote[1592].start 9497.65221875
transcript.pyannote[1592].end 9501.97221875
transcript.pyannote[1593].speaker SPEAKER_04
transcript.pyannote[1593].start 9498.02346875
transcript.pyannote[1593].end 9498.17534375
transcript.pyannote[1594].speaker SPEAKER_17
transcript.pyannote[1594].start 9499.20471875
transcript.pyannote[1594].end 9501.01034375
transcript.pyannote[1595].speaker SPEAKER_04
transcript.pyannote[1595].start 9501.01034375
transcript.pyannote[1595].end 9504.43596875
transcript.pyannote[1596].speaker SPEAKER_04
transcript.pyannote[1596].start 9505.41471875
transcript.pyannote[1596].end 9506.81534375
transcript.pyannote[1597].speaker SPEAKER_04
transcript.pyannote[1597].start 9507.33846875
transcript.pyannote[1597].end 9508.09784375
transcript.pyannote[1598].speaker SPEAKER_04
transcript.pyannote[1598].start 9508.21596875
transcript.pyannote[1598].end 9508.89096875
transcript.pyannote[1599].speaker SPEAKER_19
transcript.pyannote[1599].start 9508.85721875
transcript.pyannote[1599].end 9518.66159375
transcript.pyannote[1600].speaker SPEAKER_04
transcript.pyannote[1600].start 9517.39596875
transcript.pyannote[1600].end 9519.72471875
transcript.pyannote[1601].speaker SPEAKER_19
transcript.pyannote[1601].start 9519.28596875
transcript.pyannote[1601].end 9529.17471875
transcript.pyannote[1602].speaker SPEAKER_04
transcript.pyannote[1602].start 9529.00596875
transcript.pyannote[1602].end 9529.78221875
transcript.pyannote[1603].speaker SPEAKER_19
transcript.pyannote[1603].start 9529.96784375
transcript.pyannote[1603].end 9537.03846875
transcript.pyannote[1604].speaker SPEAKER_19
transcript.pyannote[1604].start 9538.65846875
transcript.pyannote[1604].end 9538.97909375
transcript.pyannote[1605].speaker SPEAKER_19
transcript.pyannote[1605].start 9540.26159375
transcript.pyannote[1605].end 9542.08409375
transcript.pyannote[1606].speaker SPEAKER_19
transcript.pyannote[1606].start 9542.67471875
transcript.pyannote[1606].end 9543.04596875
transcript.pyannote[1607].speaker SPEAKER_19
transcript.pyannote[1607].start 9543.56909375
transcript.pyannote[1607].end 9543.88971875
transcript.pyannote[1608].speaker SPEAKER_17
transcript.pyannote[1608].start 9543.88971875
transcript.pyannote[1608].end 9543.92346875
transcript.pyannote[1609].speaker SPEAKER_17
transcript.pyannote[1609].start 9543.97409375
transcript.pyannote[1609].end 9544.32846875
transcript.pyannote[1610].speaker SPEAKER_17
transcript.pyannote[1610].start 9546.89346875
transcript.pyannote[1610].end 9547.14659375
transcript.pyannote[1611].speaker SPEAKER_19
transcript.pyannote[1611].start 9547.16346875
transcript.pyannote[1611].end 9547.53471875
transcript.pyannote[1612].speaker SPEAKER_19
transcript.pyannote[1612].start 9548.20971875
transcript.pyannote[1612].end 9549.76221875
transcript.pyannote[1613].speaker SPEAKER_19
transcript.pyannote[1613].start 9550.50471875
transcript.pyannote[1613].end 9550.80846875
transcript.pyannote[1614].speaker SPEAKER_19
transcript.pyannote[1614].start 9552.68159375
transcript.pyannote[1614].end 9552.95159375
transcript.pyannote[1615].speaker SPEAKER_04
transcript.pyannote[1615].start 9553.81221875
transcript.pyannote[1615].end 9556.54596875
transcript.pyannote[1616].speaker SPEAKER_04
transcript.pyannote[1616].start 9557.35596875
transcript.pyannote[1616].end 9560.66346875
transcript.pyannote[1617].speaker SPEAKER_17
transcript.pyannote[1617].start 9560.73096875
transcript.pyannote[1617].end 9560.74784375
transcript.pyannote[1618].speaker SPEAKER_04
transcript.pyannote[1618].start 9561.65909375
transcript.pyannote[1618].end 9563.66721875
transcript.pyannote[1619].speaker SPEAKER_04
transcript.pyannote[1619].start 9564.07221875
transcript.pyannote[1619].end 9567.16034375
transcript.pyannote[1620].speaker SPEAKER_04
transcript.pyannote[1620].start 9570.80534375
transcript.pyannote[1620].end 9570.88971875
transcript.pyannote[1621].speaker SPEAKER_19
transcript.pyannote[1621].start 9570.88971875
transcript.pyannote[1621].end 9570.92346875
transcript.pyannote[1622].speaker SPEAKER_04
transcript.pyannote[1622].start 9570.92346875
transcript.pyannote[1622].end 9570.97409375
transcript.pyannote[1623].speaker SPEAKER_19
transcript.pyannote[1623].start 9570.97409375
transcript.pyannote[1623].end 9571.02471875
transcript.pyannote[1624].speaker SPEAKER_04
transcript.pyannote[1624].start 9571.02471875
transcript.pyannote[1624].end 9572.05409375
transcript.pyannote[1625].speaker SPEAKER_19
transcript.pyannote[1625].start 9572.79659375
transcript.pyannote[1625].end 9574.82159375
transcript.pyannote[1626].speaker SPEAKER_19
transcript.pyannote[1626].start 9575.54721875
transcript.pyannote[1626].end 9577.04909375
transcript.pyannote[1627].speaker SPEAKER_19
transcript.pyannote[1627].start 9577.53846875
transcript.pyannote[1627].end 9577.85909375
transcript.pyannote[1628].speaker SPEAKER_19
transcript.pyannote[1628].start 9578.28096875
transcript.pyannote[1628].end 9581.26784375
transcript.pyannote[1629].speaker SPEAKER_19
transcript.pyannote[1629].start 9581.79096875
transcript.pyannote[1629].end 9583.68096875
transcript.pyannote[1630].speaker SPEAKER_19
transcript.pyannote[1630].start 9584.38971875
transcript.pyannote[1630].end 9584.62596875
transcript.pyannote[1631].speaker SPEAKER_19
transcript.pyannote[1631].start 9584.91284375
transcript.pyannote[1631].end 9586.04346875
transcript.pyannote[1632].speaker SPEAKER_19
transcript.pyannote[1632].start 9586.65096875
transcript.pyannote[1632].end 9586.98846875
transcript.pyannote[1633].speaker SPEAKER_19
transcript.pyannote[1633].start 9587.44409375
transcript.pyannote[1633].end 9588.05159375
transcript.pyannote[1634].speaker SPEAKER_19
transcript.pyannote[1634].start 9589.41846875
transcript.pyannote[1634].end 9590.32971875
transcript.pyannote[1635].speaker SPEAKER_19
transcript.pyannote[1635].start 9593.28284375
transcript.pyannote[1635].end 9594.12659375
transcript.pyannote[1636].speaker SPEAKER_19
transcript.pyannote[1636].start 9594.34596875
transcript.pyannote[1636].end 9594.76784375
transcript.pyannote[1637].speaker SPEAKER_04
transcript.pyannote[1637].start 9595.25721875
transcript.pyannote[1637].end 9596.52284375
transcript.pyannote[1638].speaker SPEAKER_19
transcript.pyannote[1638].start 9595.71284375
transcript.pyannote[1638].end 9595.99971875
transcript.pyannote[1639].speaker SPEAKER_19
transcript.pyannote[1639].start 9597.73784375
transcript.pyannote[1639].end 9605.66909375
transcript.pyannote[1640].speaker SPEAKER_19
transcript.pyannote[1640].start 9606.07409375
transcript.pyannote[1640].end 9614.95034375
transcript.pyannote[1641].speaker SPEAKER_19
transcript.pyannote[1641].start 9617.98784375
transcript.pyannote[1641].end 9618.32534375
transcript.pyannote[1642].speaker SPEAKER_19
transcript.pyannote[1642].start 9621.46409375
transcript.pyannote[1642].end 9623.30346875
transcript.pyannote[1643].speaker SPEAKER_19
transcript.pyannote[1643].start 9623.52284375
transcript.pyannote[1643].end 9625.00784375
transcript.pyannote[1644].speaker SPEAKER_19
transcript.pyannote[1644].start 9625.49721875
transcript.pyannote[1644].end 9626.37471875
transcript.pyannote[1645].speaker SPEAKER_19
transcript.pyannote[1645].start 9627.38721875
transcript.pyannote[1645].end 9629.29409375
transcript.pyannote[1646].speaker SPEAKER_19
transcript.pyannote[1646].start 9629.68221875
transcript.pyannote[1646].end 9631.70721875
transcript.pyannote[1647].speaker SPEAKER_19
transcript.pyannote[1647].start 9634.44096875
transcript.pyannote[1647].end 9641.86596875
transcript.pyannote[1648].speaker SPEAKER_19
transcript.pyannote[1648].start 9642.64221875
transcript.pyannote[1648].end 9645.94971875
transcript.pyannote[1649].speaker SPEAKER_04
transcript.pyannote[1649].start 9647.58659375
transcript.pyannote[1649].end 9647.75534375
transcript.pyannote[1650].speaker SPEAKER_25
transcript.pyannote[1650].start 9651.97409375
transcript.pyannote[1650].end 9652.02471875
transcript.pyannote[1651].speaker SPEAKER_25
transcript.pyannote[1651].start 9652.12596875
transcript.pyannote[1651].end 9654.10034375
transcript.pyannote[1652].speaker SPEAKER_25
transcript.pyannote[1652].start 9655.61909375
transcript.pyannote[1652].end 9655.80471875
transcript.pyannote[1653].speaker SPEAKER_04
transcript.pyannote[1653].start 9655.80471875
transcript.pyannote[1653].end 9656.07471875
transcript.pyannote[1654].speaker SPEAKER_25
transcript.pyannote[1654].start 9656.07471875
transcript.pyannote[1654].end 9656.96909375
transcript.pyannote[1655].speaker SPEAKER_04
transcript.pyannote[1655].start 9657.99846875
transcript.pyannote[1655].end 9659.61846875
transcript.pyannote[1656].speaker SPEAKER_04
transcript.pyannote[1656].start 9660.09096875
transcript.pyannote[1656].end 9663.56721875
transcript.pyannote[1657].speaker SPEAKER_25
transcript.pyannote[1657].start 9660.14159375
transcript.pyannote[1657].end 9661.98096875
transcript.pyannote[1658].speaker SPEAKER_25
transcript.pyannote[1658].start 9663.56721875
transcript.pyannote[1658].end 9684.18846875
transcript.pyannote[1659].speaker SPEAKER_25
transcript.pyannote[1659].start 9684.99846875
transcript.pyannote[1659].end 9702.26159375
transcript.pyannote[1660].speaker SPEAKER_19
transcript.pyannote[1660].start 9702.26159375
transcript.pyannote[1660].end 9707.23971875
transcript.pyannote[1661].speaker SPEAKER_25
transcript.pyannote[1661].start 9702.59909375
transcript.pyannote[1661].end 9702.63284375
transcript.pyannote[1662].speaker SPEAKER_25
transcript.pyannote[1662].start 9702.71721875
transcript.pyannote[1662].end 9702.97034375
transcript.pyannote[1663].speaker SPEAKER_25
transcript.pyannote[1663].start 9703.61159375
transcript.pyannote[1663].end 9708.77534375
transcript.pyannote[1664].speaker SPEAKER_19
transcript.pyannote[1664].start 9708.77534375
transcript.pyannote[1664].end 9709.53471875
transcript.pyannote[1665].speaker SPEAKER_19
transcript.pyannote[1665].start 9709.75409375
transcript.pyannote[1665].end 9718.03971875
transcript.pyannote[1666].speaker SPEAKER_19
transcript.pyannote[1666].start 9718.47846875
transcript.pyannote[1666].end 9738.20534375
transcript.pyannote[1667].speaker SPEAKER_19
transcript.pyannote[1667].start 9738.50909375
transcript.pyannote[1667].end 9749.95034375
transcript.pyannote[1668].speaker SPEAKER_19
transcript.pyannote[1668].start 9750.52409375
transcript.pyannote[1668].end 9751.03034375
transcript.pyannote[1669].speaker SPEAKER_19
transcript.pyannote[1669].start 9752.76846875
transcript.pyannote[1669].end 9769.62659375
transcript.pyannote[1670].speaker SPEAKER_19
transcript.pyannote[1670].start 9770.55471875
transcript.pyannote[1670].end 9772.64721875
transcript.pyannote[1671].speaker SPEAKER_19
transcript.pyannote[1671].start 9773.82846875
transcript.pyannote[1671].end 9778.43534375
transcript.pyannote[1672].speaker SPEAKER_19
transcript.pyannote[1672].start 9778.73909375
transcript.pyannote[1672].end 9780.64596875
transcript.pyannote[1673].speaker SPEAKER_19
transcript.pyannote[1673].start 9781.16909375
transcript.pyannote[1673].end 9786.36659375
transcript.pyannote[1674].speaker SPEAKER_19
transcript.pyannote[1674].start 9787.34534375
transcript.pyannote[1674].end 9791.10846875
transcript.pyannote[1675].speaker SPEAKER_19
transcript.pyannote[1675].start 9791.53034375
transcript.pyannote[1675].end 9794.44971875
transcript.pyannote[1676].speaker SPEAKER_19
transcript.pyannote[1676].start 9795.24284375
transcript.pyannote[1676].end 9813.61971875
transcript.pyannote[1677].speaker SPEAKER_19
transcript.pyannote[1677].start 9814.39596875
transcript.pyannote[1677].end 9824.82471875
transcript.pyannote[1678].speaker SPEAKER_19
transcript.pyannote[1678].start 9825.38159375
transcript.pyannote[1678].end 9826.36034375
transcript.pyannote[1679].speaker SPEAKER_19
transcript.pyannote[1679].start 9827.32221875
transcript.pyannote[1679].end 9827.33909375
transcript.pyannote[1680].speaker SPEAKER_01
transcript.pyannote[1680].start 9827.33909375
transcript.pyannote[1680].end 9827.92971875
transcript.pyannote[1681].speaker SPEAKER_19
transcript.pyannote[1681].start 9827.92971875
transcript.pyannote[1681].end 9827.96346875
transcript.pyannote[1682].speaker SPEAKER_01
transcript.pyannote[1682].start 9828.77346875
transcript.pyannote[1682].end 9831.42284375
transcript.pyannote[1683].speaker SPEAKER_01
transcript.pyannote[1683].start 9831.45659375
transcript.pyannote[1683].end 9835.75971875
transcript.pyannote[1684].speaker SPEAKER_01
transcript.pyannote[1684].start 9836.04659375
transcript.pyannote[1684].end 9838.40909375
transcript.pyannote[1685].speaker SPEAKER_01
transcript.pyannote[1685].start 9838.67909375
transcript.pyannote[1685].end 9839.91096875
transcript.pyannote[1686].speaker SPEAKER_01
transcript.pyannote[1686].start 9840.46784375
transcript.pyannote[1686].end 9852.58409375
transcript.pyannote[1687].speaker SPEAKER_01
transcript.pyannote[1687].start 9853.12409375
transcript.pyannote[1687].end 9857.35971875
transcript.pyannote[1688].speaker SPEAKER_01
transcript.pyannote[1688].start 9857.73096875
transcript.pyannote[1688].end 9862.13534375
transcript.pyannote[1689].speaker SPEAKER_01
transcript.pyannote[1689].start 9862.79346875
transcript.pyannote[1689].end 9867.97409375
transcript.pyannote[1690].speaker SPEAKER_01
transcript.pyannote[1690].start 9868.29471875
transcript.pyannote[1690].end 9872.00721875
transcript.pyannote[1691].speaker SPEAKER_19
transcript.pyannote[1691].start 9872.00721875
transcript.pyannote[1691].end 9872.04096875
transcript.pyannote[1692].speaker SPEAKER_01
transcript.pyannote[1692].start 9872.76659375
transcript.pyannote[1692].end 9872.96909375
transcript.pyannote[1693].speaker SPEAKER_19
transcript.pyannote[1693].start 9872.96909375
transcript.pyannote[1693].end 9889.92846875
transcript.pyannote[1694].speaker SPEAKER_19
transcript.pyannote[1694].start 9890.85659375
transcript.pyannote[1694].end 9895.96971875
transcript.pyannote[1695].speaker SPEAKER_19
transcript.pyannote[1695].start 9896.47596875
transcript.pyannote[1695].end 9903.81659375
transcript.pyannote[1696].speaker SPEAKER_19
transcript.pyannote[1696].start 9904.39034375
transcript.pyannote[1696].end 9905.65596875
transcript.pyannote[1697].speaker SPEAKER_19
transcript.pyannote[1697].start 9906.58409375
transcript.pyannote[1697].end 9908.67659375
transcript.pyannote[1698].speaker SPEAKER_19
transcript.pyannote[1698].start 9909.09846875
transcript.pyannote[1698].end 9930.79971875
transcript.pyannote[1699].speaker SPEAKER_19
transcript.pyannote[1699].start 9931.44096875
transcript.pyannote[1699].end 9933.92159375
transcript.pyannote[1700].speaker SPEAKER_19
transcript.pyannote[1700].start 9935.08596875
transcript.pyannote[1700].end 9952.04534375
transcript.pyannote[1701].speaker SPEAKER_19
transcript.pyannote[1701].start 9952.85534375
transcript.pyannote[1701].end 9958.03596875
transcript.pyannote[1702].speaker SPEAKER_04
transcript.pyannote[1702].start 9958.77846875
transcript.pyannote[1702].end 9960.58409375
transcript.pyannote[1703].speaker SPEAKER_04
transcript.pyannote[1703].start 9960.76971875
transcript.pyannote[1703].end 9966.25409375
transcript.pyannote[1704].speaker SPEAKER_01
transcript.pyannote[1704].start 9966.50721875
transcript.pyannote[1704].end 9968.48159375
transcript.pyannote[1705].speaker SPEAKER_01
transcript.pyannote[1705].start 9969.96659375
transcript.pyannote[1705].end 9971.26596875
transcript.pyannote[1706].speaker SPEAKER_01
transcript.pyannote[1706].start 9973.20659375
transcript.pyannote[1706].end 9975.58596875
transcript.pyannote[1707].speaker SPEAKER_17
transcript.pyannote[1707].start 9975.58596875
transcript.pyannote[1707].end 9975.60284375
transcript.pyannote[1708].speaker SPEAKER_06
transcript.pyannote[1708].start 9975.60284375
transcript.pyannote[1708].end 9976.02471875
transcript.pyannote[1709].speaker SPEAKER_17
transcript.pyannote[1709].start 9976.02471875
transcript.pyannote[1709].end 9977.02034375
transcript.pyannote[1710].speaker SPEAKER_17
transcript.pyannote[1710].start 9978.38721875
transcript.pyannote[1710].end 9978.99471875
transcript.pyannote[1711].speaker SPEAKER_06
transcript.pyannote[1711].start 9978.99471875
transcript.pyannote[1711].end 9979.43346875
transcript.pyannote[1712].speaker SPEAKER_01
transcript.pyannote[1712].start 9980.81721875
transcript.pyannote[1712].end 9981.40784375
transcript.pyannote[1713].speaker SPEAKER_01
transcript.pyannote[1713].start 9982.23471875
transcript.pyannote[1713].end 9983.93909375
transcript.pyannote[1714].speaker SPEAKER_01
transcript.pyannote[1714].start 9984.44534375
transcript.pyannote[1714].end 9992.46096875
transcript.pyannote[1715].speaker SPEAKER_01
transcript.pyannote[1715].start 9992.62971875
transcript.pyannote[1715].end 9999.70034375
transcript.pyannote[1716].speaker SPEAKER_01
transcript.pyannote[1716].start 10000.32471875
transcript.pyannote[1716].end 10001.25284375
transcript.pyannote[1717].speaker SPEAKER_01
transcript.pyannote[1717].start 10001.45534375
transcript.pyannote[1717].end 10002.24846875
transcript.pyannote[1718].speaker SPEAKER_01
transcript.pyannote[1718].start 10002.92346875
transcript.pyannote[1718].end 10004.50971875
transcript.pyannote[1719].speaker SPEAKER_01
transcript.pyannote[1719].start 10004.93159375
transcript.pyannote[1719].end 10005.45471875
transcript.pyannote[1720].speaker SPEAKER_01
transcript.pyannote[1720].start 10006.06221875
transcript.pyannote[1720].end 10008.72846875
transcript.pyannote[1721].speaker SPEAKER_01
transcript.pyannote[1721].start 10009.20096875
transcript.pyannote[1721].end 10010.87159375
transcript.pyannote[1722].speaker SPEAKER_01
transcript.pyannote[1722].start 10013.92596875
transcript.pyannote[1722].end 10013.95971875
transcript.pyannote[1723].speaker SPEAKER_19
transcript.pyannote[1723].start 10013.95971875
transcript.pyannote[1723].end 10015.91721875
transcript.pyannote[1724].speaker SPEAKER_19
transcript.pyannote[1724].start 10016.18721875
transcript.pyannote[1724].end 10018.58346875
transcript.pyannote[1725].speaker SPEAKER_19
transcript.pyannote[1725].start 10019.44409375
transcript.pyannote[1725].end 10020.03471875
transcript.pyannote[1726].speaker SPEAKER_19
transcript.pyannote[1726].start 10020.94596875
transcript.pyannote[1726].end 10022.21159375
transcript.pyannote[1727].speaker SPEAKER_19
transcript.pyannote[1727].start 10023.71346875
transcript.pyannote[1727].end 10032.97784375
transcript.pyannote[1728].speaker SPEAKER_01
transcript.pyannote[1728].start 10030.22721875
transcript.pyannote[1728].end 10031.83034375
transcript.pyannote[1729].speaker SPEAKER_04
transcript.pyannote[1729].start 10031.83034375
transcript.pyannote[1729].end 10031.84721875
transcript.pyannote[1730].speaker SPEAKER_04
transcript.pyannote[1730].start 10032.97784375
transcript.pyannote[1730].end 10036.79159375
transcript.pyannote[1731].speaker SPEAKER_01
transcript.pyannote[1731].start 10035.79596875
transcript.pyannote[1731].end 10041.83721875
transcript.pyannote[1732].speaker SPEAKER_01
transcript.pyannote[1732].start 10042.49534375
transcript.pyannote[1732].end 10058.50971875
transcript.pyannote[1733].speaker SPEAKER_19
transcript.pyannote[1733].start 10043.44034375
transcript.pyannote[1733].end 10043.81159375
transcript.pyannote[1734].speaker SPEAKER_19
transcript.pyannote[1734].start 10044.70596875
transcript.pyannote[1734].end 10045.61721875
transcript.pyannote[1735].speaker SPEAKER_01
transcript.pyannote[1735].start 10059.03284375
transcript.pyannote[1735].end 10078.03409375
transcript.pyannote[1736].speaker SPEAKER_01
transcript.pyannote[1736].start 10078.45596875
transcript.pyannote[1736].end 10084.26096875
transcript.pyannote[1737].speaker SPEAKER_01
transcript.pyannote[1737].start 10085.23971875
transcript.pyannote[1737].end 10085.71221875
transcript.pyannote[1738].speaker SPEAKER_01
transcript.pyannote[1738].start 10086.62346875
transcript.pyannote[1738].end 10088.86784375
transcript.pyannote[1739].speaker SPEAKER_01
transcript.pyannote[1739].start 10089.25596875
transcript.pyannote[1739].end 10089.27284375
transcript.pyannote[1740].speaker SPEAKER_19
transcript.pyannote[1740].start 10089.27284375
transcript.pyannote[1740].end 10089.84659375
transcript.pyannote[1741].speaker SPEAKER_19
transcript.pyannote[1741].start 10090.96034375
transcript.pyannote[1741].end 10097.40659375
transcript.pyannote[1742].speaker SPEAKER_19
transcript.pyannote[1742].start 10097.62596875
transcript.pyannote[1742].end 10098.92534375
transcript.pyannote[1743].speaker SPEAKER_19
transcript.pyannote[1743].start 10099.71846875
transcript.pyannote[1743].end 10104.54471875
transcript.pyannote[1744].speaker SPEAKER_19
transcript.pyannote[1744].start 10104.94971875
transcript.pyannote[1744].end 10133.28284375
transcript.pyannote[1745].speaker SPEAKER_19
transcript.pyannote[1745].start 10133.75534375
transcript.pyannote[1745].end 10137.19784375
transcript.pyannote[1746].speaker SPEAKER_19
transcript.pyannote[1746].start 10138.00784375
transcript.pyannote[1746].end 10139.64471875
transcript.pyannote[1747].speaker SPEAKER_19
transcript.pyannote[1747].start 10141.09596875
transcript.pyannote[1747].end 10144.69034375
transcript.pyannote[1748].speaker SPEAKER_19
transcript.pyannote[1748].start 10145.55096875
transcript.pyannote[1748].end 10146.63096875
transcript.pyannote[1749].speaker SPEAKER_19
transcript.pyannote[1749].start 10147.12034375
transcript.pyannote[1749].end 10151.96346875
transcript.pyannote[1750].speaker SPEAKER_01
transcript.pyannote[1750].start 10151.96346875
transcript.pyannote[1750].end 10151.98034375
transcript.pyannote[1751].speaker SPEAKER_18
transcript.pyannote[1751].start 10153.60034375
transcript.pyannote[1751].end 10153.83659375
transcript.pyannote[1752].speaker SPEAKER_01
transcript.pyannote[1752].start 10153.83659375
transcript.pyannote[1752].end 10175.95971875
transcript.pyannote[1753].speaker SPEAKER_18
transcript.pyannote[1753].start 10153.87034375
transcript.pyannote[1753].end 10153.88721875
transcript.pyannote[1754].speaker SPEAKER_19
transcript.pyannote[1754].start 10153.88721875
transcript.pyannote[1754].end 10154.69721875
transcript.pyannote[1755].speaker SPEAKER_01
transcript.pyannote[1755].start 10176.33096875
transcript.pyannote[1755].end 10185.69659375
transcript.pyannote[1756].speaker SPEAKER_01
transcript.pyannote[1756].start 10186.10159375
transcript.pyannote[1756].end 10197.55971875
transcript.pyannote[1757].speaker SPEAKER_01
transcript.pyannote[1757].start 10198.08284375
transcript.pyannote[1757].end 10204.71471875
transcript.pyannote[1758].speaker SPEAKER_01
transcript.pyannote[1758].start 10206.80721875
transcript.pyannote[1758].end 10206.97596875
transcript.pyannote[1759].speaker SPEAKER_19
transcript.pyannote[1759].start 10206.97596875
transcript.pyannote[1759].end 10228.13721875
transcript.pyannote[1760].speaker SPEAKER_19
transcript.pyannote[1760].start 10228.79534375
transcript.pyannote[1760].end 10230.73596875
transcript.pyannote[1761].speaker SPEAKER_19
transcript.pyannote[1761].start 10231.34346875
transcript.pyannote[1761].end 10235.74784375
transcript.pyannote[1762].speaker SPEAKER_19
transcript.pyannote[1762].start 10236.22034375
transcript.pyannote[1762].end 10237.48596875
transcript.pyannote[1763].speaker SPEAKER_19
transcript.pyannote[1763].start 10238.46471875
transcript.pyannote[1763].end 10242.37971875
transcript.pyannote[1764].speaker SPEAKER_19
transcript.pyannote[1764].start 10242.76784375
transcript.pyannote[1764].end 10245.26534375
transcript.pyannote[1765].speaker SPEAKER_19
transcript.pyannote[1765].start 10245.77159375
transcript.pyannote[1765].end 10247.34096875
transcript.pyannote[1766].speaker SPEAKER_19
transcript.pyannote[1766].start 10247.81346875
transcript.pyannote[1766].end 10248.91034375
transcript.pyannote[1767].speaker SPEAKER_19
transcript.pyannote[1767].start 10250.56409375
transcript.pyannote[1767].end 10254.39471875
transcript.pyannote[1768].speaker SPEAKER_04
transcript.pyannote[1768].start 10254.47909375
transcript.pyannote[1768].end 10256.90909375
transcript.pyannote[1769].speaker SPEAKER_04
transcript.pyannote[1769].start 10259.20409375
transcript.pyannote[1769].end 10268.45159375
transcript.pyannote[1770].speaker SPEAKER_04
transcript.pyannote[1770].start 10269.16034375
transcript.pyannote[1770].end 10271.18534375
transcript.pyannote[1771].speaker SPEAKER_04
transcript.pyannote[1771].start 10271.65784375
transcript.pyannote[1771].end 10272.26534375
transcript.pyannote[1772].speaker SPEAKER_04
transcript.pyannote[1772].start 10272.75471875
transcript.pyannote[1772].end 10275.04971875
transcript.pyannote[1773].speaker SPEAKER_04
transcript.pyannote[1773].start 10275.30284375
transcript.pyannote[1773].end 10276.45034375
transcript.pyannote[1774].speaker SPEAKER_04
transcript.pyannote[1774].start 10276.90596875
transcript.pyannote[1774].end 10277.42909375
transcript.pyannote[1775].speaker SPEAKER_04
transcript.pyannote[1775].start 10278.54284375
transcript.pyannote[1775].end 10279.48784375
transcript.pyannote[1776].speaker SPEAKER_04
transcript.pyannote[1776].start 10279.77471875
transcript.pyannote[1776].end 10295.65409375
transcript.pyannote[1777].speaker SPEAKER_04
transcript.pyannote[1777].start 10296.27846875
transcript.pyannote[1777].end 10297.25721875
transcript.pyannote[1778].speaker SPEAKER_04
transcript.pyannote[1778].start 10298.20221875
transcript.pyannote[1778].end 10298.97846875
transcript.pyannote[1779].speaker SPEAKER_24
transcript.pyannote[1779].start 10298.97846875
transcript.pyannote[1779].end 10302.16784375
transcript.pyannote[1780].speaker SPEAKER_24
transcript.pyannote[1780].start 10302.28596875
transcript.pyannote[1780].end 10303.02846875
transcript.pyannote[1781].speaker SPEAKER_24
transcript.pyannote[1781].start 10303.66971875
transcript.pyannote[1781].end 10307.33159375
transcript.pyannote[1782].speaker SPEAKER_24
transcript.pyannote[1782].start 10307.66909375
transcript.pyannote[1782].end 10310.55471875
transcript.pyannote[1783].speaker SPEAKER_24
transcript.pyannote[1783].start 10310.97659375
transcript.pyannote[1783].end 10311.65159375
transcript.pyannote[1784].speaker SPEAKER_00
transcript.pyannote[1784].start 10311.65159375
transcript.pyannote[1784].end 10316.32596875
transcript.pyannote[1785].speaker SPEAKER_00
transcript.pyannote[1785].start 10316.52846875
transcript.pyannote[1785].end 10317.23721875
transcript.pyannote[1786].speaker SPEAKER_00
transcript.pyannote[1786].start 10318.51971875
transcript.pyannote[1786].end 10319.97096875
transcript.pyannote[1787].speaker SPEAKER_07
transcript.pyannote[1787].start 10319.97096875
transcript.pyannote[1787].end 10321.77659375
transcript.pyannote[1788].speaker SPEAKER_07
transcript.pyannote[1788].start 10322.73846875
transcript.pyannote[1788].end 10323.37971875
transcript.pyannote[1789].speaker SPEAKER_14
transcript.pyannote[1789].start 10324.32471875
transcript.pyannote[1789].end 10327.73346875
transcript.pyannote[1790].speaker SPEAKER_04
transcript.pyannote[1790].start 10328.30721875
transcript.pyannote[1790].end 10329.52221875
transcript.pyannote[1791].speaker SPEAKER_14
transcript.pyannote[1791].start 10330.45034375
transcript.pyannote[1791].end 10330.97346875
transcript.pyannote[1792].speaker SPEAKER_09
transcript.pyannote[1792].start 10330.97346875
transcript.pyannote[1792].end 10332.35721875
transcript.pyannote[1793].speaker SPEAKER_04
transcript.pyannote[1793].start 10332.55971875
transcript.pyannote[1793].end 10332.72846875
transcript.pyannote[1794].speaker SPEAKER_04
transcript.pyannote[1794].start 10333.36971875
transcript.pyannote[1794].end 10336.93034375
transcript.pyannote[1795].speaker SPEAKER_04
transcript.pyannote[1795].start 10337.28471875
transcript.pyannote[1795].end 10339.54596875
transcript.pyannote[1796].speaker SPEAKER_17
transcript.pyannote[1796].start 10353.70409375
transcript.pyannote[1796].end 10353.78846875
transcript.pyannote[1797].speaker SPEAKER_12
transcript.pyannote[1797].start 10389.24284375
transcript.pyannote[1797].end 10389.34409375
transcript.pyannote[1798].speaker SPEAKER_03
transcript.pyannote[1798].start 10389.34409375
transcript.pyannote[1798].end 10389.85034375
transcript.pyannote[1799].speaker SPEAKER_12
transcript.pyannote[1799].start 10389.85034375
transcript.pyannote[1799].end 10389.96846875
transcript.pyannote[1800].speaker SPEAKER_03
transcript.pyannote[1800].start 10389.96846875
transcript.pyannote[1800].end 10390.08659375
transcript.pyannote[1801].speaker SPEAKER_03
transcript.pyannote[1801].start 10391.94284375
transcript.pyannote[1801].end 10393.30971875
transcript.pyannote[1802].speaker SPEAKER_17
transcript.pyannote[1802].start 10394.79471875
transcript.pyannote[1802].end 10394.81159375
transcript.pyannote[1803].speaker SPEAKER_17
transcript.pyannote[1803].start 10394.89596875
transcript.pyannote[1803].end 10396.56659375
transcript.pyannote[1804].speaker SPEAKER_25
transcript.pyannote[1804].start 10396.56659375
transcript.pyannote[1804].end 10397.32596875
transcript.pyannote[1805].speaker SPEAKER_17
transcript.pyannote[1805].start 10397.00534375
transcript.pyannote[1805].end 10397.08971875
transcript.pyannote[1806].speaker SPEAKER_06
transcript.pyannote[1806].start 10397.32596875
transcript.pyannote[1806].end 10397.56221875
transcript.pyannote[1807].speaker SPEAKER_25
transcript.pyannote[1807].start 10397.56221875
transcript.pyannote[1807].end 10397.61284375
transcript.pyannote[1808].speaker SPEAKER_06
transcript.pyannote[1808].start 10397.61284375
transcript.pyannote[1808].end 10397.91659375
transcript.pyannote[1809].speaker SPEAKER_25
transcript.pyannote[1809].start 10397.91659375
transcript.pyannote[1809].end 10398.30471875
transcript.pyannote[1810].speaker SPEAKER_17
transcript.pyannote[1810].start 10400.54909375
transcript.pyannote[1810].end 10400.56596875
transcript.pyannote[1811].speaker SPEAKER_06
transcript.pyannote[1811].start 10400.56596875
transcript.pyannote[1811].end 10400.58284375
transcript.pyannote[1812].speaker SPEAKER_17
transcript.pyannote[1812].start 10400.58284375
transcript.pyannote[1812].end 10400.59971875
transcript.pyannote[1813].speaker SPEAKER_25
transcript.pyannote[1813].start 10400.59971875
transcript.pyannote[1813].end 10401.96659375
transcript.pyannote[1814].speaker SPEAKER_06
transcript.pyannote[1814].start 10401.96659375
transcript.pyannote[1814].end 10402.00034375
transcript.pyannote[1815].speaker SPEAKER_25
transcript.pyannote[1815].start 10402.00034375
transcript.pyannote[1815].end 10402.01721875
transcript.pyannote[1816].speaker SPEAKER_06
transcript.pyannote[1816].start 10402.01721875
transcript.pyannote[1816].end 10402.08471875
transcript.pyannote[1817].speaker SPEAKER_17
transcript.pyannote[1817].start 10402.08471875
transcript.pyannote[1817].end 10402.27034375
transcript.pyannote[1818].speaker SPEAKER_17
transcript.pyannote[1818].start 10402.62471875
transcript.pyannote[1818].end 10402.77659375
transcript.pyannote[1819].speaker SPEAKER_16
transcript.pyannote[1819].start 10487.20221875
transcript.pyannote[1819].end 10487.86034375
transcript.pyannote[1820].speaker SPEAKER_16
transcript.pyannote[1820].start 10490.07096875
transcript.pyannote[1820].end 10491.01596875
transcript.pyannote[1821].speaker SPEAKER_04
transcript.pyannote[1821].start 11219.67846875
transcript.pyannote[1821].end 11221.38284375
transcript.pyannote[1822].speaker SPEAKER_04
transcript.pyannote[1822].start 11223.71159375
transcript.pyannote[1822].end 11225.43284375
transcript.pyannote[1823].speaker SPEAKER_04
transcript.pyannote[1823].start 11228.38596875
transcript.pyannote[1823].end 11229.51659375
transcript.pyannote[1824].speaker SPEAKER_04
transcript.pyannote[1824].start 11230.68096875
transcript.pyannote[1824].end 11231.62596875
transcript.pyannote[1825].speaker SPEAKER_16
transcript.pyannote[1825].start 11231.91284375
transcript.pyannote[1825].end 11233.70159375
transcript.pyannote[1826].speaker SPEAKER_04
transcript.pyannote[1826].start 11233.53284375
transcript.pyannote[1826].end 11234.39346875
transcript.pyannote[1827].speaker SPEAKER_16
transcript.pyannote[1827].start 11234.39346875
transcript.pyannote[1827].end 11234.42721875
transcript.pyannote[1828].speaker SPEAKER_16
transcript.pyannote[1828].start 11234.73096875
transcript.pyannote[1828].end 11235.25409375
transcript.pyannote[1829].speaker SPEAKER_04
transcript.pyannote[1829].start 11235.25409375
transcript.pyannote[1829].end 11235.35534375
transcript.pyannote[1830].speaker SPEAKER_11
transcript.pyannote[1830].start 11235.35534375
transcript.pyannote[1830].end 11235.87846875
transcript.pyannote[1831].speaker SPEAKER_16
transcript.pyannote[1831].start 11236.55346875
transcript.pyannote[1831].end 11237.14409375
transcript.pyannote[1832].speaker SPEAKER_11
transcript.pyannote[1832].start 11236.84034375
transcript.pyannote[1832].end 11246.71221875
transcript.pyannote[1833].speaker SPEAKER_11
transcript.pyannote[1833].start 11247.16784375
transcript.pyannote[1833].end 11253.52971875
transcript.pyannote[1834].speaker SPEAKER_11
transcript.pyannote[1834].start 11253.81659375
transcript.pyannote[1834].end 11261.62971875
transcript.pyannote[1835].speaker SPEAKER_11
transcript.pyannote[1835].start 11262.38909375
transcript.pyannote[1835].end 11266.67534375
transcript.pyannote[1836].speaker SPEAKER_11
transcript.pyannote[1836].start 11267.33346875
transcript.pyannote[1836].end 11272.88534375
transcript.pyannote[1837].speaker SPEAKER_11
transcript.pyannote[1837].start 11273.56034375
transcript.pyannote[1837].end 11274.84284375
transcript.pyannote[1838].speaker SPEAKER_11
transcript.pyannote[1838].start 11275.06221875
transcript.pyannote[1838].end 11286.87471875
transcript.pyannote[1839].speaker SPEAKER_11
transcript.pyannote[1839].start 11287.21221875
transcript.pyannote[1839].end 11294.38409375
transcript.pyannote[1840].speaker SPEAKER_11
transcript.pyannote[1840].start 11295.22784375
transcript.pyannote[1840].end 11298.97409375
transcript.pyannote[1841].speaker SPEAKER_11
transcript.pyannote[1841].start 11299.63221875
transcript.pyannote[1841].end 11307.31034375
transcript.pyannote[1842].speaker SPEAKER_11
transcript.pyannote[1842].start 11307.79971875
transcript.pyannote[1842].end 11310.66846875
transcript.pyannote[1843].speaker SPEAKER_11
transcript.pyannote[1843].start 11311.63034375
transcript.pyannote[1843].end 11313.01409375
transcript.pyannote[1844].speaker SPEAKER_11
transcript.pyannote[1844].start 11313.43596875
transcript.pyannote[1844].end 11329.36596875
transcript.pyannote[1845].speaker SPEAKER_11
transcript.pyannote[1845].start 11329.53471875
transcript.pyannote[1845].end 11331.42471875
transcript.pyannote[1846].speaker SPEAKER_11
transcript.pyannote[1846].start 11331.59346875
transcript.pyannote[1846].end 11333.31471875
transcript.pyannote[1847].speaker SPEAKER_11
transcript.pyannote[1847].start 11333.83784375
transcript.pyannote[1847].end 11344.72221875
transcript.pyannote[1848].speaker SPEAKER_11
transcript.pyannote[1848].start 11344.92471875
transcript.pyannote[1848].end 11349.97034375
transcript.pyannote[1849].speaker SPEAKER_11
transcript.pyannote[1849].start 11350.18971875
transcript.pyannote[1849].end 11353.22721875
transcript.pyannote[1850].speaker SPEAKER_11
transcript.pyannote[1850].start 11353.63221875
transcript.pyannote[1850].end 11361.68159375
transcript.pyannote[1851].speaker SPEAKER_11
transcript.pyannote[1851].start 11362.30596875
transcript.pyannote[1851].end 11364.06096875
transcript.pyannote[1852].speaker SPEAKER_11
transcript.pyannote[1852].start 11364.09471875
transcript.pyannote[1852].end 11375.95784375
transcript.pyannote[1853].speaker SPEAKER_11
transcript.pyannote[1853].start 11376.31221875
transcript.pyannote[1853].end 11377.02096875
transcript.pyannote[1854].speaker SPEAKER_11
transcript.pyannote[1854].start 11377.27409375
transcript.pyannote[1854].end 11379.67034375
transcript.pyannote[1855].speaker SPEAKER_11
transcript.pyannote[1855].start 11380.10909375
transcript.pyannote[1855].end 11384.49659375
transcript.pyannote[1856].speaker SPEAKER_11
transcript.pyannote[1856].start 11384.63159375
transcript.pyannote[1856].end 11390.04846875
transcript.pyannote[1857].speaker SPEAKER_11
transcript.pyannote[1857].start 11390.18346875
transcript.pyannote[1857].end 11390.52096875
transcript.pyannote[1858].speaker SPEAKER_11
transcript.pyannote[1858].start 11390.84159375
transcript.pyannote[1858].end 11393.50784375
transcript.pyannote[1859].speaker SPEAKER_11
transcript.pyannote[1859].start 11393.76096875
transcript.pyannote[1859].end 11395.33034375
transcript.pyannote[1860].speaker SPEAKER_11
transcript.pyannote[1860].start 11395.58346875
transcript.pyannote[1860].end 11404.93221875
transcript.pyannote[1861].speaker SPEAKER_11
transcript.pyannote[1861].start 11405.82659375
transcript.pyannote[1861].end 11409.79221875
transcript.pyannote[1862].speaker SPEAKER_11
transcript.pyannote[1862].start 11410.18034375
transcript.pyannote[1862].end 11411.64846875
transcript.pyannote[1863].speaker SPEAKER_11
transcript.pyannote[1863].start 11412.34034375
transcript.pyannote[1863].end 11421.18284375
transcript.pyannote[1864].speaker SPEAKER_11
transcript.pyannote[1864].start 11421.85784375
transcript.pyannote[1864].end 11423.19096875
transcript.pyannote[1865].speaker SPEAKER_11
transcript.pyannote[1865].start 11423.73096875
transcript.pyannote[1865].end 11428.37159375
transcript.pyannote[1866].speaker SPEAKER_11
transcript.pyannote[1866].start 11429.82284375
transcript.pyannote[1866].end 11434.22721875
transcript.pyannote[1867].speaker SPEAKER_11
transcript.pyannote[1867].start 11436.08346875
transcript.pyannote[1867].end 11446.69784375
transcript.pyannote[1868].speaker SPEAKER_11
transcript.pyannote[1868].start 11448.62159375
transcript.pyannote[1868].end 11450.44409375
transcript.pyannote[1869].speaker SPEAKER_11
transcript.pyannote[1869].start 11450.57909375
transcript.pyannote[1869].end 11451.84471875
transcript.pyannote[1870].speaker SPEAKER_11
transcript.pyannote[1870].start 11452.43534375
transcript.pyannote[1870].end 11454.96659375
transcript.pyannote[1871].speaker SPEAKER_11
transcript.pyannote[1871].start 11455.96221875
transcript.pyannote[1871].end 11463.06659375
transcript.pyannote[1872].speaker SPEAKER_11
transcript.pyannote[1872].start 11463.55596875
transcript.pyannote[1872].end 11468.77034375
transcript.pyannote[1873].speaker SPEAKER_11
transcript.pyannote[1873].start 11468.90534375
transcript.pyannote[1873].end 11469.90096875
transcript.pyannote[1874].speaker SPEAKER_11
transcript.pyannote[1874].start 11470.74471875
transcript.pyannote[1874].end 11472.98909375
transcript.pyannote[1875].speaker SPEAKER_11
transcript.pyannote[1875].start 11473.78221875
transcript.pyannote[1875].end 11475.40221875
transcript.pyannote[1876].speaker SPEAKER_11
transcript.pyannote[1876].start 11475.89159375
transcript.pyannote[1876].end 11486.21909375
transcript.pyannote[1877].speaker SPEAKER_11
transcript.pyannote[1877].start 11486.87721875
transcript.pyannote[1877].end 11491.53471875
transcript.pyannote[1878].speaker SPEAKER_11
transcript.pyannote[1878].start 11493.12096875
transcript.pyannote[1878].end 11496.59721875
transcript.pyannote[1879].speaker SPEAKER_11
transcript.pyannote[1879].start 11497.05284375
transcript.pyannote[1879].end 11499.61784375
transcript.pyannote[1880].speaker SPEAKER_11
transcript.pyannote[1880].start 11499.75284375
transcript.pyannote[1880].end 11501.28846875
transcript.pyannote[1881].speaker SPEAKER_11
transcript.pyannote[1881].start 11502.90846875
transcript.pyannote[1881].end 11525.01471875
transcript.pyannote[1882].speaker SPEAKER_11
transcript.pyannote[1882].start 11525.43659375
transcript.pyannote[1882].end 11531.08971875
transcript.pyannote[1883].speaker SPEAKER_16
transcript.pyannote[1883].start 11531.08971875
transcript.pyannote[1883].end 11557.63409375
transcript.pyannote[1884].speaker SPEAKER_11
transcript.pyannote[1884].start 11556.97596875
transcript.pyannote[1884].end 11559.10221875
transcript.pyannote[1885].speaker SPEAKER_11
transcript.pyannote[1885].start 11559.37221875
transcript.pyannote[1885].end 11564.53596875
transcript.pyannote[1886].speaker SPEAKER_17
transcript.pyannote[1886].start 11565.78471875
transcript.pyannote[1886].end 11565.93659375
transcript.pyannote[1887].speaker SPEAKER_11
transcript.pyannote[1887].start 11565.85221875
transcript.pyannote[1887].end 11568.02909375
transcript.pyannote[1888].speaker SPEAKER_11
transcript.pyannote[1888].start 11568.77159375
transcript.pyannote[1888].end 11573.51346875
transcript.pyannote[1889].speaker SPEAKER_18
transcript.pyannote[1889].start 11573.85096875
transcript.pyannote[1889].end 11574.22221875
transcript.pyannote[1890].speaker SPEAKER_11
transcript.pyannote[1890].start 11574.15471875
transcript.pyannote[1890].end 11575.75784375
transcript.pyannote[1891].speaker SPEAKER_18
transcript.pyannote[1891].start 11575.92659375
transcript.pyannote[1891].end 11576.17971875
transcript.pyannote[1892].speaker SPEAKER_11
transcript.pyannote[1892].start 11576.17971875
transcript.pyannote[1892].end 11579.79096875
transcript.pyannote[1893].speaker SPEAKER_18
transcript.pyannote[1893].start 11579.79096875
transcript.pyannote[1893].end 11580.07784375
transcript.pyannote[1894].speaker SPEAKER_11
transcript.pyannote[1894].start 11580.04409375
transcript.pyannote[1894].end 11597.94846875
transcript.pyannote[1895].speaker SPEAKER_16
transcript.pyannote[1895].start 11598.97784375
transcript.pyannote[1895].end 11607.95534375
transcript.pyannote[1896].speaker SPEAKER_11
transcript.pyannote[1896].start 11607.38159375
transcript.pyannote[1896].end 11614.24971875
transcript.pyannote[1897].speaker SPEAKER_11
transcript.pyannote[1897].start 11614.60409375
transcript.pyannote[1897].end 11615.36346875
transcript.pyannote[1898].speaker SPEAKER_11
transcript.pyannote[1898].start 11616.12284375
transcript.pyannote[1898].end 11617.16909375
transcript.pyannote[1899].speaker SPEAKER_11
transcript.pyannote[1899].start 11617.91159375
transcript.pyannote[1899].end 11619.37971875
transcript.pyannote[1900].speaker SPEAKER_11
transcript.pyannote[1900].start 11619.59909375
transcript.pyannote[1900].end 11620.15596875
transcript.pyannote[1901].speaker SPEAKER_01
transcript.pyannote[1901].start 11621.48909375
transcript.pyannote[1901].end 11622.41721875
transcript.pyannote[1902].speaker SPEAKER_01
transcript.pyannote[1902].start 11623.39596875
transcript.pyannote[1902].end 11630.60159375
transcript.pyannote[1903].speaker SPEAKER_11
transcript.pyannote[1903].start 11630.21346875
transcript.pyannote[1903].end 11632.87971875
transcript.pyannote[1904].speaker SPEAKER_01
transcript.pyannote[1904].start 11631.29346875
transcript.pyannote[1904].end 11631.86721875
transcript.pyannote[1905].speaker SPEAKER_01
transcript.pyannote[1905].start 11632.08659375
transcript.pyannote[1905].end 11638.54971875
transcript.pyannote[1906].speaker SPEAKER_11
transcript.pyannote[1906].start 11637.41909375
transcript.pyannote[1906].end 11639.49471875
transcript.pyannote[1907].speaker SPEAKER_01
transcript.pyannote[1907].start 11638.76909375
transcript.pyannote[1907].end 11646.58221875
transcript.pyannote[1908].speaker SPEAKER_01
transcript.pyannote[1908].start 11647.17284375
transcript.pyannote[1908].end 11651.66159375
transcript.pyannote[1909].speaker SPEAKER_11
transcript.pyannote[1909].start 11651.32409375
transcript.pyannote[1909].end 11653.11284375
transcript.pyannote[1910].speaker SPEAKER_01
transcript.pyannote[1910].start 11653.06221875
transcript.pyannote[1910].end 11654.66534375
transcript.pyannote[1911].speaker SPEAKER_01
transcript.pyannote[1911].start 11655.27284375
transcript.pyannote[1911].end 11655.61034375
transcript.pyannote[1912].speaker SPEAKER_11
transcript.pyannote[1912].start 11655.49221875
transcript.pyannote[1912].end 11656.60596875
transcript.pyannote[1913].speaker SPEAKER_01
transcript.pyannote[1913].start 11656.89284375
transcript.pyannote[1913].end 11661.41534375
transcript.pyannote[1914].speaker SPEAKER_01
transcript.pyannote[1914].start 11662.02284375
transcript.pyannote[1914].end 11662.86659375
transcript.pyannote[1915].speaker SPEAKER_01
transcript.pyannote[1915].start 11663.44034375
transcript.pyannote[1915].end 11665.38096875
transcript.pyannote[1916].speaker SPEAKER_11
transcript.pyannote[1916].start 11665.38096875
transcript.pyannote[1916].end 11667.43971875
transcript.pyannote[1917].speaker SPEAKER_01
transcript.pyannote[1917].start 11666.47784375
transcript.pyannote[1917].end 11671.18596875
transcript.pyannote[1918].speaker SPEAKER_01
transcript.pyannote[1918].start 11671.64159375
transcript.pyannote[1918].end 11672.48534375
transcript.pyannote[1919].speaker SPEAKER_01
transcript.pyannote[1919].start 11673.07596875
transcript.pyannote[1919].end 11675.16846875
transcript.pyannote[1920].speaker SPEAKER_01
transcript.pyannote[1920].start 11675.35409375
transcript.pyannote[1920].end 11675.72534375
transcript.pyannote[1921].speaker SPEAKER_01
transcript.pyannote[1921].start 11675.97846875
transcript.pyannote[1921].end 11680.92284375
transcript.pyannote[1922].speaker SPEAKER_01
transcript.pyannote[1922].start 11680.97346875
transcript.pyannote[1922].end 11680.99034375
transcript.pyannote[1923].speaker SPEAKER_01
transcript.pyannote[1923].start 11681.34471875
transcript.pyannote[1923].end 11683.26846875
transcript.pyannote[1924].speaker SPEAKER_17
transcript.pyannote[1924].start 11682.94784375
transcript.pyannote[1924].end 11683.48784375
transcript.pyannote[1925].speaker SPEAKER_01
transcript.pyannote[1925].start 11683.48784375
transcript.pyannote[1925].end 11683.70721875
transcript.pyannote[1926].speaker SPEAKER_17
transcript.pyannote[1926].start 11683.70721875
transcript.pyannote[1926].end 11684.02784375
transcript.pyannote[1927].speaker SPEAKER_01
transcript.pyannote[1927].start 11684.01096875
transcript.pyannote[1927].end 11691.33471875
transcript.pyannote[1928].speaker SPEAKER_11
transcript.pyannote[1928].start 11684.02784375
transcript.pyannote[1928].end 11684.65221875
transcript.pyannote[1929].speaker SPEAKER_17
transcript.pyannote[1929].start 11684.65221875
transcript.pyannote[1929].end 11685.25971875
transcript.pyannote[1930].speaker SPEAKER_11
transcript.pyannote[1930].start 11685.25971875
transcript.pyannote[1930].end 11685.95159375
transcript.pyannote[1931].speaker SPEAKER_11
transcript.pyannote[1931].start 11690.94659375
transcript.pyannote[1931].end 11696.19471875
transcript.pyannote[1932].speaker SPEAKER_01
transcript.pyannote[1932].start 11696.00909375
transcript.pyannote[1932].end 11697.54471875
transcript.pyannote[1933].speaker SPEAKER_11
transcript.pyannote[1933].start 11697.25784375
transcript.pyannote[1933].end 11700.21096875
transcript.pyannote[1934].speaker SPEAKER_01
transcript.pyannote[1934].start 11698.11846875
transcript.pyannote[1934].end 11701.71284375
transcript.pyannote[1935].speaker SPEAKER_11
transcript.pyannote[1935].start 11701.47659375
transcript.pyannote[1935].end 11701.52721875
transcript.pyannote[1936].speaker SPEAKER_11
transcript.pyannote[1936].start 11701.56096875
transcript.pyannote[1936].end 11703.95721875
transcript.pyannote[1937].speaker SPEAKER_01
transcript.pyannote[1937].start 11704.46346875
transcript.pyannote[1937].end 11704.78409375
transcript.pyannote[1938].speaker SPEAKER_01
transcript.pyannote[1938].start 11705.42534375
transcript.pyannote[1938].end 11707.68659375
transcript.pyannote[1939].speaker SPEAKER_16
transcript.pyannote[1939].start 11705.56034375
transcript.pyannote[1939].end 11706.04971875
transcript.pyannote[1940].speaker SPEAKER_01
transcript.pyannote[1940].start 11707.95659375
transcript.pyannote[1940].end 11712.32721875
transcript.pyannote[1941].speaker SPEAKER_11
transcript.pyannote[1941].start 11711.92221875
transcript.pyannote[1941].end 11718.90846875
transcript.pyannote[1942].speaker SPEAKER_01
transcript.pyannote[1942].start 11713.06971875
transcript.pyannote[1942].end 11713.52534375
transcript.pyannote[1943].speaker SPEAKER_01
transcript.pyannote[1943].start 11715.78659375
transcript.pyannote[1943].end 11716.79909375
transcript.pyannote[1944].speaker SPEAKER_01
transcript.pyannote[1944].start 11717.25471875
transcript.pyannote[1944].end 11717.82846875
transcript.pyannote[1945].speaker SPEAKER_01
transcript.pyannote[1945].start 11718.55409375
transcript.pyannote[1945].end 11728.03784375
transcript.pyannote[1946].speaker SPEAKER_11
transcript.pyannote[1946].start 11721.11909375
transcript.pyannote[1946].end 11723.81909375
transcript.pyannote[1947].speaker SPEAKER_11
transcript.pyannote[1947].start 11727.75096875
transcript.pyannote[1947].end 11729.92784375
transcript.pyannote[1948].speaker SPEAKER_01
transcript.pyannote[1948].start 11728.45971875
transcript.pyannote[1948].end 11732.08784375
transcript.pyannote[1949].speaker SPEAKER_11
transcript.pyannote[1949].start 11731.71659375
transcript.pyannote[1949].end 11737.72409375
transcript.pyannote[1950].speaker SPEAKER_01
transcript.pyannote[1950].start 11739.00659375
transcript.pyannote[1950].end 11743.86659375
transcript.pyannote[1951].speaker SPEAKER_11
transcript.pyannote[1951].start 11743.96784375
transcript.pyannote[1951].end 11747.24159375
transcript.pyannote[1952].speaker SPEAKER_01
transcript.pyannote[1952].start 11745.55409375
transcript.pyannote[1952].end 11746.12784375
transcript.pyannote[1953].speaker SPEAKER_01
transcript.pyannote[1953].start 11747.56221875
transcript.pyannote[1953].end 11747.96721875
transcript.pyannote[1954].speaker SPEAKER_16
transcript.pyannote[1954].start 11747.96721875
transcript.pyannote[1954].end 11752.37159375
transcript.pyannote[1955].speaker SPEAKER_11
transcript.pyannote[1955].start 11747.98409375
transcript.pyannote[1955].end 11751.30846875
transcript.pyannote[1956].speaker SPEAKER_11
transcript.pyannote[1956].start 11752.10159375
transcript.pyannote[1956].end 11752.94534375
transcript.pyannote[1957].speaker SPEAKER_16
transcript.pyannote[1957].start 11752.75971875
transcript.pyannote[1957].end 11761.39971875
transcript.pyannote[1958].speaker SPEAKER_11
transcript.pyannote[1958].start 11755.00409375
transcript.pyannote[1958].end 11756.48909375
transcript.pyannote[1959].speaker SPEAKER_11
transcript.pyannote[1959].start 11760.74159375
transcript.pyannote[1959].end 11766.46221875
transcript.pyannote[1960].speaker SPEAKER_01
transcript.pyannote[1960].start 11761.39971875
transcript.pyannote[1960].end 11761.41659375
transcript.pyannote[1961].speaker SPEAKER_01
transcript.pyannote[1961].start 11765.01096875
transcript.pyannote[1961].end 11766.15846875
transcript.pyannote[1962].speaker SPEAKER_01
transcript.pyannote[1962].start 11766.46221875
transcript.pyannote[1962].end 11770.27596875
transcript.pyannote[1963].speaker SPEAKER_11
transcript.pyannote[1963].start 11770.05659375
transcript.pyannote[1963].end 11774.29221875
transcript.pyannote[1964].speaker SPEAKER_01
transcript.pyannote[1964].start 11770.91721875
transcript.pyannote[1964].end 11772.06471875
transcript.pyannote[1965].speaker SPEAKER_01
transcript.pyannote[1965].start 11773.12784375
transcript.pyannote[1965].end 11773.19534375
transcript.pyannote[1966].speaker SPEAKER_01
transcript.pyannote[1966].start 11773.34721875
transcript.pyannote[1966].end 11775.40596875
transcript.pyannote[1967].speaker SPEAKER_01
transcript.pyannote[1967].start 11775.69284375
transcript.pyannote[1967].end 11778.76409375
transcript.pyannote[1968].speaker SPEAKER_11
transcript.pyannote[1968].start 11777.56596875
transcript.pyannote[1968].end 11780.09721875
transcript.pyannote[1969].speaker SPEAKER_01
transcript.pyannote[1969].start 11779.15221875
transcript.pyannote[1969].end 11786.89784375
transcript.pyannote[1970].speaker SPEAKER_11
transcript.pyannote[1970].start 11783.38784375
transcript.pyannote[1970].end 11784.40034375
transcript.pyannote[1971].speaker SPEAKER_11
transcript.pyannote[1971].start 11786.08784375
transcript.pyannote[1971].end 11789.95221875
transcript.pyannote[1972].speaker SPEAKER_01
transcript.pyannote[1972].start 11789.61471875
transcript.pyannote[1972].end 11794.50846875
transcript.pyannote[1973].speaker SPEAKER_17
transcript.pyannote[1973].start 11791.80846875
transcript.pyannote[1973].end 11791.82534375
transcript.pyannote[1974].speaker SPEAKER_03
transcript.pyannote[1974].start 11791.82534375
transcript.pyannote[1974].end 11791.85909375
transcript.pyannote[1975].speaker SPEAKER_17
transcript.pyannote[1975].start 11791.85909375
transcript.pyannote[1975].end 11791.94346875
transcript.pyannote[1976].speaker SPEAKER_11
transcript.pyannote[1976].start 11792.14596875
transcript.pyannote[1976].end 11802.06846875
transcript.pyannote[1977].speaker SPEAKER_01
transcript.pyannote[1977].start 11796.80346875
transcript.pyannote[1977].end 11797.15784375
transcript.pyannote[1978].speaker SPEAKER_01
transcript.pyannote[1978].start 11798.69346875
transcript.pyannote[1978].end 11798.74409375
transcript.pyannote[1979].speaker SPEAKER_11
transcript.pyannote[1979].start 11802.96284375
transcript.pyannote[1979].end 11804.78534375
transcript.pyannote[1980].speaker SPEAKER_16
transcript.pyannote[1980].start 11805.05534375
transcript.pyannote[1980].end 11811.02909375
transcript.pyannote[1981].speaker SPEAKER_11
transcript.pyannote[1981].start 11810.26971875
transcript.pyannote[1981].end 11811.99096875
transcript.pyannote[1982].speaker SPEAKER_16
transcript.pyannote[1982].start 11811.51846875
transcript.pyannote[1982].end 11827.00971875
transcript.pyannote[1983].speaker SPEAKER_11
transcript.pyannote[1983].start 11825.87909375
transcript.pyannote[1983].end 11828.49471875
transcript.pyannote[1984].speaker SPEAKER_16
transcript.pyannote[1984].start 11828.49471875
transcript.pyannote[1984].end 11829.30471875
transcript.pyannote[1985].speaker SPEAKER_11
transcript.pyannote[1985].start 11828.76471875
transcript.pyannote[1985].end 11832.62909375
transcript.pyannote[1986].speaker SPEAKER_16
transcript.pyannote[1986].start 11831.44784375
transcript.pyannote[1986].end 11834.55284375
transcript.pyannote[1987].speaker SPEAKER_11
transcript.pyannote[1987].start 11834.26596875
transcript.pyannote[1987].end 11838.14721875
transcript.pyannote[1988].speaker SPEAKER_16
transcript.pyannote[1988].start 11836.35846875
transcript.pyannote[1988].end 11836.66221875
transcript.pyannote[1989].speaker SPEAKER_16
transcript.pyannote[1989].start 11838.14721875
transcript.pyannote[1989].end 11839.39596875
transcript.pyannote[1990].speaker SPEAKER_11
transcript.pyannote[1990].start 11838.99096875
transcript.pyannote[1990].end 11840.84721875
transcript.pyannote[1991].speaker SPEAKER_16
transcript.pyannote[1991].start 11840.94846875
transcript.pyannote[1991].end 11847.91784375
transcript.pyannote[1992].speaker SPEAKER_11
transcript.pyannote[1992].start 11846.17971875
transcript.pyannote[1992].end 11849.04846875
transcript.pyannote[1993].speaker SPEAKER_16
transcript.pyannote[1993].start 11849.41971875
transcript.pyannote[1993].end 11849.70659375
transcript.pyannote[1994].speaker SPEAKER_18
transcript.pyannote[1994].start 11849.70659375
transcript.pyannote[1994].end 11849.72346875
transcript.pyannote[1995].speaker SPEAKER_11
transcript.pyannote[1995].start 11849.72346875
transcript.pyannote[1995].end 11868.13409375
transcript.pyannote[1996].speaker SPEAKER_18
transcript.pyannote[1996].start 11849.74034375
transcript.pyannote[1996].end 11849.75721875
transcript.pyannote[1997].speaker SPEAKER_18
transcript.pyannote[1997].start 11862.10971875
transcript.pyannote[1997].end 11862.29534375
transcript.pyannote[1998].speaker SPEAKER_16
transcript.pyannote[1998].start 11868.13409375
transcript.pyannote[1998].end 11868.15096875
transcript.pyannote[1999].speaker SPEAKER_18
transcript.pyannote[1999].start 11868.15096875
transcript.pyannote[1999].end 11868.47159375
transcript.pyannote[2000].speaker SPEAKER_16
transcript.pyannote[2000].start 11868.47159375
transcript.pyannote[2000].end 11868.48846875
transcript.pyannote[2001].speaker SPEAKER_11
transcript.pyannote[2001].start 11868.47159375
transcript.pyannote[2001].end 11871.28971875
transcript.pyannote[2002].speaker SPEAKER_18
transcript.pyannote[2002].start 11869.70346875
transcript.pyannote[2002].end 11869.78784375
transcript.pyannote[2003].speaker SPEAKER_16
transcript.pyannote[2003].start 11869.78784375
transcript.pyannote[2003].end 11870.04096875
transcript.pyannote[2004].speaker SPEAKER_18
transcript.pyannote[2004].start 11870.04096875
transcript.pyannote[2004].end 11870.07471875
transcript.pyannote[2005].speaker SPEAKER_16
transcript.pyannote[2005].start 11872.45409375
transcript.pyannote[2005].end 11872.67346875
transcript.pyannote[2006].speaker SPEAKER_18
transcript.pyannote[2006].start 11872.67346875
transcript.pyannote[2006].end 11872.92659375
transcript.pyannote[2007].speaker SPEAKER_17
transcript.pyannote[2007].start 11872.92659375
transcript.pyannote[2007].end 11872.96034375
transcript.pyannote[2008].speaker SPEAKER_18
transcript.pyannote[2008].start 11872.96034375
transcript.pyannote[2008].end 11872.97721875
transcript.pyannote[2009].speaker SPEAKER_17
transcript.pyannote[2009].start 11872.97721875
transcript.pyannote[2009].end 11873.01096875
transcript.pyannote[2010].speaker SPEAKER_16
transcript.pyannote[2010].start 11873.01096875
transcript.pyannote[2010].end 11887.59096875
transcript.pyannote[2011].speaker SPEAKER_16
transcript.pyannote[2011].start 11888.04659375
transcript.pyannote[2011].end 11888.65409375
transcript.pyannote[2012].speaker SPEAKER_11
transcript.pyannote[2012].start 11888.18159375
transcript.pyannote[2012].end 11895.38721875
transcript.pyannote[2013].speaker SPEAKER_01
transcript.pyannote[2013].start 11889.44721875
transcript.pyannote[2013].end 11889.64971875
transcript.pyannote[2014].speaker SPEAKER_01
transcript.pyannote[2014].start 11891.80971875
transcript.pyannote[2014].end 11892.82221875
transcript.pyannote[2015].speaker SPEAKER_01
transcript.pyannote[2015].start 11893.85159375
transcript.pyannote[2015].end 11894.45909375
transcript.pyannote[2016].speaker SPEAKER_01
transcript.pyannote[2016].start 11894.94846875
transcript.pyannote[2016].end 11897.73284375
transcript.pyannote[2017].speaker SPEAKER_11
transcript.pyannote[2017].start 11897.54721875
transcript.pyannote[2017].end 11899.67346875
transcript.pyannote[2018].speaker SPEAKER_01
transcript.pyannote[2018].start 11898.10409375
transcript.pyannote[2018].end 11904.87096875
transcript.pyannote[2019].speaker SPEAKER_11
transcript.pyannote[2019].start 11901.15846875
transcript.pyannote[2019].end 11901.66471875
transcript.pyannote[2020].speaker SPEAKER_11
transcript.pyannote[2020].start 11904.44909375
transcript.pyannote[2020].end 11905.90034375
transcript.pyannote[2021].speaker SPEAKER_01
transcript.pyannote[2021].start 11905.20846875
transcript.pyannote[2021].end 11906.10284375
transcript.pyannote[2022].speaker SPEAKER_01
transcript.pyannote[2022].start 11906.30534375
transcript.pyannote[2022].end 11912.09346875
transcript.pyannote[2023].speaker SPEAKER_11
transcript.pyannote[2023].start 11911.51971875
transcript.pyannote[2023].end 11918.67471875
transcript.pyannote[2024].speaker SPEAKER_01
transcript.pyannote[2024].start 11913.08909375
transcript.pyannote[2024].end 11916.27846875
transcript.pyannote[2025].speaker SPEAKER_19
transcript.pyannote[2025].start 11916.27846875
transcript.pyannote[2025].end 11916.56534375
transcript.pyannote[2026].speaker SPEAKER_01
transcript.pyannote[2026].start 11916.56534375
transcript.pyannote[2026].end 11916.59909375
transcript.pyannote[2027].speaker SPEAKER_19
transcript.pyannote[2027].start 11918.26971875
transcript.pyannote[2027].end 11926.45409375
transcript.pyannote[2028].speaker SPEAKER_16
transcript.pyannote[2028].start 11922.77534375
transcript.pyannote[2028].end 11923.83846875
transcript.pyannote[2029].speaker SPEAKER_11
transcript.pyannote[2029].start 11924.53034375
transcript.pyannote[2029].end 11941.06784375
transcript.pyannote[2030].speaker SPEAKER_18
transcript.pyannote[2030].start 11932.96784375
transcript.pyannote[2030].end 11933.30534375
transcript.pyannote[2031].speaker SPEAKER_01
transcript.pyannote[2031].start 11939.92034375
transcript.pyannote[2031].end 11946.09659375
transcript.pyannote[2032].speaker SPEAKER_16
transcript.pyannote[2032].start 11942.65409375
transcript.pyannote[2032].end 11943.16034375
transcript.pyannote[2033].speaker SPEAKER_16
transcript.pyannote[2033].start 11943.58221875
transcript.pyannote[2033].end 11945.43846875
transcript.pyannote[2034].speaker SPEAKER_11
transcript.pyannote[2034].start 11945.43846875
transcript.pyannote[2034].end 11947.98659375
transcript.pyannote[2035].speaker SPEAKER_01
transcript.pyannote[2035].start 11946.77159375
transcript.pyannote[2035].end 11953.99409375
transcript.pyannote[2036].speaker SPEAKER_11
transcript.pyannote[2036].start 11954.21346875
transcript.pyannote[2036].end 11955.64784375
transcript.pyannote[2037].speaker SPEAKER_01
transcript.pyannote[2037].start 11954.73659375
transcript.pyannote[2037].end 11957.08221875
transcript.pyannote[2038].speaker SPEAKER_11
transcript.pyannote[2038].start 11956.28909375
transcript.pyannote[2038].end 11959.00596875
transcript.pyannote[2039].speaker SPEAKER_16
transcript.pyannote[2039].start 11957.38596875
transcript.pyannote[2039].end 11965.14846875
transcript.pyannote[2040].speaker SPEAKER_11
transcript.pyannote[2040].start 11965.06409375
transcript.pyannote[2040].end 11966.88659375
transcript.pyannote[2041].speaker SPEAKER_16
transcript.pyannote[2041].start 11966.04284375
transcript.pyannote[2041].end 11971.17284375
transcript.pyannote[2042].speaker SPEAKER_11
transcript.pyannote[2042].start 11969.62034375
transcript.pyannote[2042].end 11971.66221875
transcript.pyannote[2043].speaker SPEAKER_16
transcript.pyannote[2043].start 11971.66221875
transcript.pyannote[2043].end 11979.44159375
transcript.pyannote[2044].speaker SPEAKER_11
transcript.pyannote[2044].start 11977.18034375
transcript.pyannote[2044].end 11981.70284375
transcript.pyannote[2045].speaker SPEAKER_16
transcript.pyannote[2045].start 11980.53846875
transcript.pyannote[2045].end 11999.99534375
transcript.pyannote[2046].speaker SPEAKER_11
transcript.pyannote[2046].start 11982.69846875
transcript.pyannote[2046].end 11983.18784375
transcript.pyannote[2047].speaker SPEAKER_11
transcript.pyannote[2047].start 11998.35846875
transcript.pyannote[2047].end 12001.10909375
transcript.pyannote[2048].speaker SPEAKER_16
transcript.pyannote[2048].start 12000.58596875
transcript.pyannote[2048].end 12004.56846875
transcript.pyannote[2049].speaker SPEAKER_11
transcript.pyannote[2049].start 12001.39596875
transcript.pyannote[2049].end 12002.79659375
transcript.pyannote[2050].speaker SPEAKER_11
transcript.pyannote[2050].start 12003.99471875
transcript.pyannote[2050].end 12007.50471875
transcript.pyannote[2051].speaker SPEAKER_16
transcript.pyannote[2051].start 12008.26409375
transcript.pyannote[2051].end 12009.29346875
transcript.pyannote[2052].speaker SPEAKER_11
transcript.pyannote[2052].start 12008.70284375
transcript.pyannote[2052].end 12012.93846875
transcript.pyannote[2053].speaker SPEAKER_16
transcript.pyannote[2053].start 12013.09034375
transcript.pyannote[2053].end 12037.59284375
transcript.pyannote[2054].speaker SPEAKER_11
transcript.pyannote[2054].start 12036.78284375
transcript.pyannote[2054].end 12040.63034375
transcript.pyannote[2055].speaker SPEAKER_11
transcript.pyannote[2055].start 12041.32221875
transcript.pyannote[2055].end 12043.38096875
transcript.pyannote[2056].speaker SPEAKER_11
transcript.pyannote[2056].start 12043.61721875
transcript.pyannote[2056].end 12057.85971875
transcript.pyannote[2057].speaker SPEAKER_11
transcript.pyannote[2057].start 12058.90596875
transcript.pyannote[2057].end 12060.69471875
transcript.pyannote[2058].speaker SPEAKER_11
transcript.pyannote[2058].start 12061.48784375
transcript.pyannote[2058].end 12064.62659375
transcript.pyannote[2059].speaker SPEAKER_01
transcript.pyannote[2059].start 12064.76159375
transcript.pyannote[2059].end 12065.11596875
transcript.pyannote[2060].speaker SPEAKER_01
transcript.pyannote[2060].start 12065.84159375
transcript.pyannote[2060].end 12067.76534375
transcript.pyannote[2061].speaker SPEAKER_01
transcript.pyannote[2061].start 12068.44034375
transcript.pyannote[2061].end 12074.44784375
transcript.pyannote[2062].speaker SPEAKER_11
transcript.pyannote[2062].start 12072.57471875
transcript.pyannote[2062].end 12073.68846875
transcript.pyannote[2063].speaker SPEAKER_11
transcript.pyannote[2063].start 12074.58284375
transcript.pyannote[2063].end 12077.65409375
transcript.pyannote[2064].speaker SPEAKER_01
transcript.pyannote[2064].start 12077.41784375
transcript.pyannote[2064].end 12078.12659375
transcript.pyannote[2065].speaker SPEAKER_11
transcript.pyannote[2065].start 12078.46409375
transcript.pyannote[2065].end 12079.34159375
transcript.pyannote[2066].speaker SPEAKER_01
transcript.pyannote[2066].start 12079.02096875
transcript.pyannote[2066].end 12080.05034375
transcript.pyannote[2067].speaker SPEAKER_11
transcript.pyannote[2067].start 12079.59471875
transcript.pyannote[2067].end 12083.10471875
transcript.pyannote[2068].speaker SPEAKER_01
transcript.pyannote[2068].start 12084.15096875
transcript.pyannote[2068].end 12086.74971875
transcript.pyannote[2069].speaker SPEAKER_11
transcript.pyannote[2069].start 12084.35346875
transcript.pyannote[2069].end 12085.46721875
transcript.pyannote[2070].speaker SPEAKER_11
transcript.pyannote[2070].start 12086.58096875
transcript.pyannote[2070].end 12087.42471875
transcript.pyannote[2071].speaker SPEAKER_01
transcript.pyannote[2071].start 12087.03659375
transcript.pyannote[2071].end 12091.30596875
transcript.pyannote[2072].speaker SPEAKER_11
transcript.pyannote[2072].start 12089.90534375
transcript.pyannote[2072].end 12097.88721875
transcript.pyannote[2073].speaker SPEAKER_01
transcript.pyannote[2073].start 12092.20034375
transcript.pyannote[2073].end 12092.50409375
transcript.pyannote[2074].speaker SPEAKER_01
transcript.pyannote[2074].start 12094.27596875
transcript.pyannote[2074].end 12094.59659375
transcript.pyannote[2075].speaker SPEAKER_01
transcript.pyannote[2075].start 12096.41909375
transcript.pyannote[2075].end 12103.65846875
transcript.pyannote[2076].speaker SPEAKER_11
transcript.pyannote[2076].start 12103.20284375
transcript.pyannote[2076].end 12103.21971875
transcript.pyannote[2077].speaker SPEAKER_15
transcript.pyannote[2077].start 12103.21971875
transcript.pyannote[2077].end 12104.90721875
transcript.pyannote[2078].speaker SPEAKER_01
transcript.pyannote[2078].start 12103.97909375
transcript.pyannote[2078].end 12109.44659375
transcript.pyannote[2079].speaker SPEAKER_15
transcript.pyannote[2079].start 12105.58221875
transcript.pyannote[2079].end 12107.80971875
transcript.pyannote[2080].speaker SPEAKER_01
transcript.pyannote[2080].start 12109.73346875
transcript.pyannote[2080].end 12114.08721875
transcript.pyannote[2081].speaker SPEAKER_11
transcript.pyannote[2081].start 12111.92721875
transcript.pyannote[2081].end 12113.12534375
transcript.pyannote[2082].speaker SPEAKER_16
transcript.pyannote[2082].start 12113.12534375
transcript.pyannote[2082].end 12116.80409375
transcript.pyannote[2083].speaker SPEAKER_11
transcript.pyannote[2083].start 12115.33596875
transcript.pyannote[2083].end 12115.58909375
transcript.pyannote[2084].speaker SPEAKER_11
transcript.pyannote[2084].start 12115.89284375
transcript.pyannote[2084].end 12120.39846875
transcript.pyannote[2085].speaker SPEAKER_11
transcript.pyannote[2085].start 12121.25909375
transcript.pyannote[2085].end 12133.78034375
transcript.pyannote[2086].speaker SPEAKER_01
transcript.pyannote[2086].start 12131.94096875
transcript.pyannote[2086].end 12131.95784375
transcript.pyannote[2087].speaker SPEAKER_19
transcript.pyannote[2087].start 12131.95784375
transcript.pyannote[2087].end 12132.49784375
transcript.pyannote[2088].speaker SPEAKER_01
transcript.pyannote[2088].start 12132.76784375
transcript.pyannote[2088].end 12132.81846875
transcript.pyannote[2089].speaker SPEAKER_19
transcript.pyannote[2089].start 12132.81846875
transcript.pyannote[2089].end 12139.48409375
transcript.pyannote[2090].speaker SPEAKER_01
transcript.pyannote[2090].start 12133.78034375
transcript.pyannote[2090].end 12134.96159375
transcript.pyannote[2091].speaker SPEAKER_01
transcript.pyannote[2091].start 12135.80534375
transcript.pyannote[2091].end 12135.83909375
transcript.pyannote[2092].speaker SPEAKER_01
transcript.pyannote[2092].start 12135.97409375
transcript.pyannote[2092].end 12148.52909375
transcript.pyannote[2093].speaker SPEAKER_11
transcript.pyannote[2093].start 12147.70221875
transcript.pyannote[2093].end 12150.52034375
transcript.pyannote[2094].speaker SPEAKER_01
transcript.pyannote[2094].start 12148.86659375
transcript.pyannote[2094].end 12152.03909375
transcript.pyannote[2095].speaker SPEAKER_16
transcript.pyannote[2095].start 12152.03909375
transcript.pyannote[2095].end 12152.30909375
transcript.pyannote[2096].speaker SPEAKER_19
transcript.pyannote[2096].start 12152.29221875
transcript.pyannote[2096].end 12154.67159375
transcript.pyannote[2097].speaker SPEAKER_11
transcript.pyannote[2097].start 12152.30909375
transcript.pyannote[2097].end 12153.03471875
transcript.pyannote[2098].speaker SPEAKER_16
transcript.pyannote[2098].start 12153.03471875
transcript.pyannote[2098].end 12153.45659375
transcript.pyannote[2099].speaker SPEAKER_11
transcript.pyannote[2099].start 12153.45659375
transcript.pyannote[2099].end 12153.96284375
transcript.pyannote[2100].speaker SPEAKER_16
transcript.pyannote[2100].start 12153.96284375
transcript.pyannote[2100].end 12154.46909375
transcript.pyannote[2101].speaker SPEAKER_11
transcript.pyannote[2101].start 12154.46909375
transcript.pyannote[2101].end 12154.50284375
transcript.pyannote[2102].speaker SPEAKER_16
transcript.pyannote[2102].start 12154.57034375
transcript.pyannote[2102].end 12161.55659375
transcript.pyannote[2103].speaker SPEAKER_19
transcript.pyannote[2103].start 12154.77284375
transcript.pyannote[2103].end 12155.14409375
transcript.pyannote[2104].speaker SPEAKER_01
transcript.pyannote[2104].start 12155.14409375
transcript.pyannote[2104].end 12157.38846875
transcript.pyannote[2105].speaker SPEAKER_01
transcript.pyannote[2105].start 12160.39221875
transcript.pyannote[2105].end 12165.10034375
transcript.pyannote[2106].speaker SPEAKER_11
transcript.pyannote[2106].start 12164.59409375
transcript.pyannote[2106].end 12169.15034375
transcript.pyannote[2107].speaker SPEAKER_01
transcript.pyannote[2107].start 12166.66971875
transcript.pyannote[2107].end 12167.31096875
transcript.pyannote[2108].speaker SPEAKER_01
transcript.pyannote[2108].start 12167.42909375
transcript.pyannote[2108].end 12168.30659375
transcript.pyannote[2109].speaker SPEAKER_01
transcript.pyannote[2109].start 12168.84659375
transcript.pyannote[2109].end 12172.67721875
transcript.pyannote[2110].speaker SPEAKER_11
transcript.pyannote[2110].start 12170.87159375
transcript.pyannote[2110].end 12171.34409375
transcript.pyannote[2111].speaker SPEAKER_11
transcript.pyannote[2111].start 12172.13721875
transcript.pyannote[2111].end 12173.41971875
transcript.pyannote[2112].speaker SPEAKER_11
transcript.pyannote[2112].start 12173.52096875
transcript.pyannote[2112].end 12173.90909375
transcript.pyannote[2113].speaker SPEAKER_11
transcript.pyannote[2113].start 12174.33096875
transcript.pyannote[2113].end 12181.72221875
transcript.pyannote[2114].speaker SPEAKER_11
transcript.pyannote[2114].start 12181.94159375
transcript.pyannote[2114].end 12187.07159375
transcript.pyannote[2115].speaker SPEAKER_18
transcript.pyannote[2115].start 12183.17346875
transcript.pyannote[2115].end 12183.96659375
transcript.pyannote[2116].speaker SPEAKER_16
transcript.pyannote[2116].start 12183.96659375
transcript.pyannote[2116].end 12186.05909375
transcript.pyannote[2117].speaker SPEAKER_11
transcript.pyannote[2117].start 12188.50596875
transcript.pyannote[2117].end 12190.00784375
transcript.pyannote[2118].speaker SPEAKER_16
transcript.pyannote[2118].start 12188.70846875
transcript.pyannote[2118].end 12191.93159375
transcript.pyannote[2119].speaker SPEAKER_11
transcript.pyannote[2119].start 12190.21034375
transcript.pyannote[2119].end 12191.64471875
transcript.pyannote[2120].speaker SPEAKER_11
transcript.pyannote[2120].start 12191.93159375
transcript.pyannote[2120].end 12191.98221875
transcript.pyannote[2121].speaker SPEAKER_16
transcript.pyannote[2121].start 12192.40409375
transcript.pyannote[2121].end 12197.48346875
transcript.pyannote[2122].speaker SPEAKER_11
transcript.pyannote[2122].start 12195.93096875
transcript.pyannote[2122].end 12196.52159375
transcript.pyannote[2123].speaker SPEAKER_11
transcript.pyannote[2123].start 12196.99409375
transcript.pyannote[2123].end 12199.30596875
transcript.pyannote[2124].speaker SPEAKER_11
transcript.pyannote[2124].start 12199.54221875
transcript.pyannote[2124].end 12201.95534375
transcript.pyannote[2125].speaker SPEAKER_19
transcript.pyannote[2125].start 12201.90471875
transcript.pyannote[2125].end 12204.46971875
transcript.pyannote[2126].speaker SPEAKER_11
transcript.pyannote[2126].start 12205.04346875
transcript.pyannote[2126].end 12212.78909375
transcript.pyannote[2127].speaker SPEAKER_11
transcript.pyannote[2127].start 12213.02534375
transcript.pyannote[2127].end 12217.41284375
transcript.pyannote[2128].speaker SPEAKER_04
transcript.pyannote[2128].start 12214.03784375
transcript.pyannote[2128].end 12216.01221875
transcript.pyannote[2129].speaker SPEAKER_17
transcript.pyannote[2129].start 12217.41284375
transcript.pyannote[2129].end 12217.42971875
transcript.pyannote[2130].speaker SPEAKER_04
transcript.pyannote[2130].start 12217.96971875
transcript.pyannote[2130].end 12224.19659375
transcript.pyannote[2131].speaker SPEAKER_11
transcript.pyannote[2131].start 12223.48784375
transcript.pyannote[2131].end 12227.20034375
transcript.pyannote[2132].speaker SPEAKER_04
transcript.pyannote[2132].start 12226.40721875
transcript.pyannote[2132].end 12226.76159375
transcript.pyannote[2133].speaker SPEAKER_04
transcript.pyannote[2133].start 12227.68971875
transcript.pyannote[2133].end 12230.10284375
transcript.pyannote[2134].speaker SPEAKER_11
transcript.pyannote[2134].start 12229.90034375
transcript.pyannote[2134].end 12232.33034375
transcript.pyannote[2135].speaker SPEAKER_04
transcript.pyannote[2135].start 12231.92534375
transcript.pyannote[2135].end 12232.31346875
transcript.pyannote[2136].speaker SPEAKER_04
transcript.pyannote[2136].start 12232.33034375
transcript.pyannote[2136].end 12232.34721875
transcript.pyannote[2137].speaker SPEAKER_04
transcript.pyannote[2137].start 12232.90409375
transcript.pyannote[2137].end 12233.91659375
transcript.pyannote[2138].speaker SPEAKER_11
transcript.pyannote[2138].start 12234.82784375
transcript.pyannote[2138].end 12236.19471875
transcript.pyannote[2139].speaker SPEAKER_04
transcript.pyannote[2139].start 12237.24096875
transcript.pyannote[2139].end 12238.08471875
transcript.pyannote[2140].speaker SPEAKER_11
transcript.pyannote[2140].start 12237.94971875
transcript.pyannote[2140].end 12238.54034375
transcript.pyannote[2141].speaker SPEAKER_04
transcript.pyannote[2141].start 12240.64971875
transcript.pyannote[2141].end 12244.71659375
transcript.pyannote[2142].speaker SPEAKER_11
transcript.pyannote[2142].start 12243.34971875
transcript.pyannote[2142].end 12247.97346875
transcript.pyannote[2143].speaker SPEAKER_04
transcript.pyannote[2143].start 12245.79659375
transcript.pyannote[2143].end 12246.01596875
transcript.pyannote[2144].speaker SPEAKER_04
transcript.pyannote[2144].start 12247.18034375
transcript.pyannote[2144].end 12247.68659375
transcript.pyannote[2145].speaker SPEAKER_11
transcript.pyannote[2145].start 12248.61471875
transcript.pyannote[2145].end 12255.71909375
transcript.pyannote[2146].speaker SPEAKER_04
transcript.pyannote[2146].start 12249.08721875
transcript.pyannote[2146].end 12249.99846875
transcript.pyannote[2147].speaker SPEAKER_04
transcript.pyannote[2147].start 12257.23784375
transcript.pyannote[2147].end 12268.72971875
transcript.pyannote[2148].speaker SPEAKER_16
transcript.pyannote[2148].start 12261.05159375
transcript.pyannote[2148].end 12261.06846875
transcript.pyannote[2149].speaker SPEAKER_02
transcript.pyannote[2149].start 12261.06846875
transcript.pyannote[2149].end 12261.60846875
transcript.pyannote[2150].speaker SPEAKER_16
transcript.pyannote[2150].start 12261.60846875
transcript.pyannote[2150].end 12261.67596875
transcript.pyannote[2151].speaker SPEAKER_16
transcript.pyannote[2151].start 12262.04721875
transcript.pyannote[2151].end 12262.72221875
transcript.pyannote[2152].speaker SPEAKER_16
transcript.pyannote[2152].start 12266.50221875
transcript.pyannote[2152].end 12266.92409375
transcript.pyannote[2153].speaker SPEAKER_16
transcript.pyannote[2153].start 12268.17284375
transcript.pyannote[2153].end 12268.18971875
transcript.pyannote[2154].speaker SPEAKER_11
transcript.pyannote[2154].start 12268.18971875
transcript.pyannote[2154].end 12268.34159375
transcript.pyannote[2155].speaker SPEAKER_16
transcript.pyannote[2155].start 12268.34159375
transcript.pyannote[2155].end 12268.40909375
transcript.pyannote[2156].speaker SPEAKER_11
transcript.pyannote[2156].start 12268.40909375
transcript.pyannote[2156].end 12270.58596875
transcript.pyannote[2157].speaker SPEAKER_16
transcript.pyannote[2157].start 12268.72971875
transcript.pyannote[2157].end 12268.81409375
transcript.pyannote[2158].speaker SPEAKER_04
transcript.pyannote[2158].start 12269.08409375
transcript.pyannote[2158].end 12269.13471875
transcript.pyannote[2159].speaker SPEAKER_16
transcript.pyannote[2159].start 12269.13471875
transcript.pyannote[2159].end 12269.48909375
transcript.pyannote[2160].speaker SPEAKER_04
transcript.pyannote[2160].start 12269.48909375
transcript.pyannote[2160].end 12269.50596875
transcript.pyannote[2161].speaker SPEAKER_16
transcript.pyannote[2161].start 12269.50596875
transcript.pyannote[2161].end 12269.67471875
transcript.pyannote[2162].speaker SPEAKER_16
transcript.pyannote[2162].start 12270.58596875
transcript.pyannote[2162].end 12273.55596875
transcript.pyannote[2163].speaker SPEAKER_04
transcript.pyannote[2163].start 12271.75034375
transcript.pyannote[2163].end 12271.78409375
transcript.pyannote[2164].speaker SPEAKER_11
transcript.pyannote[2164].start 12271.78409375
transcript.pyannote[2164].end 12271.81784375
transcript.pyannote[2165].speaker SPEAKER_11
transcript.pyannote[2165].start 12273.40409375
transcript.pyannote[2165].end 12278.60159375
transcript.pyannote[2166].speaker SPEAKER_16
transcript.pyannote[2166].start 12276.50909375
transcript.pyannote[2166].end 12276.55971875
transcript.pyannote[2167].speaker SPEAKER_04
transcript.pyannote[2167].start 12276.55971875
transcript.pyannote[2167].end 12276.98159375
transcript.pyannote[2168].speaker SPEAKER_04
transcript.pyannote[2168].start 12278.66909375
transcript.pyannote[2168].end 12282.93846875
transcript.pyannote[2169].speaker SPEAKER_11
transcript.pyannote[2169].start 12281.18346875
transcript.pyannote[2169].end 12281.99346875
transcript.pyannote[2170].speaker SPEAKER_17
transcript.pyannote[2170].start 12283.24221875
transcript.pyannote[2170].end 12283.66409375
transcript.pyannote[2171].speaker SPEAKER_04
transcript.pyannote[2171].start 12284.92971875
transcript.pyannote[2171].end 12287.49471875
transcript.pyannote[2172].speaker SPEAKER_11
transcript.pyannote[2172].start 12285.25034375
transcript.pyannote[2172].end 12285.87471875
transcript.pyannote[2173].speaker SPEAKER_17
transcript.pyannote[2173].start 12285.87471875
transcript.pyannote[2173].end 12286.11096875
transcript.pyannote[2174].speaker SPEAKER_11
transcript.pyannote[2174].start 12287.89971875
transcript.pyannote[2174].end 12291.03846875
transcript.pyannote[2175].speaker SPEAKER_04
transcript.pyannote[2175].start 12291.24096875
transcript.pyannote[2175].end 12296.38784375
transcript.pyannote[2176].speaker SPEAKER_04
transcript.pyannote[2176].start 12297.19784375
transcript.pyannote[2176].end 12298.09221875
transcript.pyannote[2177].speaker SPEAKER_04
transcript.pyannote[2177].start 12299.15534375
transcript.pyannote[2177].end 12299.17221875
transcript.pyannote[2178].speaker SPEAKER_06
transcript.pyannote[2178].start 12299.17221875
transcript.pyannote[2178].end 12299.50971875
transcript.pyannote[2179].speaker SPEAKER_04
transcript.pyannote[2179].start 12299.50971875
transcript.pyannote[2179].end 12301.29846875
transcript.pyannote[2180].speaker SPEAKER_06
transcript.pyannote[2180].start 12299.99909375
transcript.pyannote[2180].end 12317.90346875
transcript.pyannote[2181].speaker SPEAKER_04
transcript.pyannote[2181].start 12302.39534375
transcript.pyannote[2181].end 12303.42471875
transcript.pyannote[2182].speaker SPEAKER_04
transcript.pyannote[2182].start 12304.13346875
transcript.pyannote[2182].end 12305.97284375
transcript.pyannote[2183].speaker SPEAKER_05
transcript.pyannote[2183].start 12305.97284375
transcript.pyannote[2183].end 12306.29346875
transcript.pyannote[2184].speaker SPEAKER_04
transcript.pyannote[2184].start 12312.84096875
transcript.pyannote[2184].end 12313.02659375
transcript.pyannote[2185].speaker SPEAKER_04
transcript.pyannote[2185].start 12315.97971875
transcript.pyannote[2185].end 12317.66721875
transcript.pyannote[2186].speaker SPEAKER_04
transcript.pyannote[2186].start 12317.90346875
transcript.pyannote[2186].end 12317.98784375
transcript.pyannote[2187].speaker SPEAKER_04
transcript.pyannote[2187].start 12318.25784375
transcript.pyannote[2187].end 12320.99159375
transcript.pyannote[2188].speaker SPEAKER_04
transcript.pyannote[2188].start 12321.29534375
transcript.pyannote[2188].end 12331.35284375
transcript.pyannote[2189].speaker SPEAKER_17
transcript.pyannote[2189].start 12327.64034375
transcript.pyannote[2189].end 12329.09159375
transcript.pyannote[2190].speaker SPEAKER_17
transcript.pyannote[2190].start 12329.53034375
transcript.pyannote[2190].end 12329.78346875
transcript.pyannote[2191].speaker SPEAKER_17
transcript.pyannote[2191].start 12330.28971875
transcript.pyannote[2191].end 12330.30659375
transcript.pyannote[2192].speaker SPEAKER_11
transcript.pyannote[2192].start 12330.30659375
transcript.pyannote[2192].end 12332.39909375
transcript.pyannote[2193].speaker SPEAKER_19
transcript.pyannote[2193].start 12331.35284375
transcript.pyannote[2193].end 12331.38659375
transcript.pyannote[2194].speaker SPEAKER_19
transcript.pyannote[2194].start 12331.60596875
transcript.pyannote[2194].end 12332.04471875
transcript.pyannote[2195].speaker SPEAKER_04
transcript.pyannote[2195].start 12332.39909375
transcript.pyannote[2195].end 12334.77846875
transcript.pyannote[2196].speaker SPEAKER_19
transcript.pyannote[2196].start 12332.68596875
transcript.pyannote[2196].end 12332.70284375
transcript.pyannote[2197].speaker SPEAKER_19
transcript.pyannote[2197].start 12335.21721875
transcript.pyannote[2197].end 12336.97221875
transcript.pyannote[2198].speaker SPEAKER_16
transcript.pyannote[2198].start 12336.97221875
transcript.pyannote[2198].end 12338.15346875
transcript.pyannote[2199].speaker SPEAKER_19
transcript.pyannote[2199].start 12338.94659375
transcript.pyannote[2199].end 12340.36409375
transcript.pyannote[2200].speaker SPEAKER_11
transcript.pyannote[2200].start 12339.68909375
transcript.pyannote[2200].end 12339.70596875
transcript.pyannote[2201].speaker SPEAKER_04
transcript.pyannote[2201].start 12339.70596875
transcript.pyannote[2201].end 12339.94221875
transcript.pyannote[2202].speaker SPEAKER_16
transcript.pyannote[2202].start 12339.94221875
transcript.pyannote[2202].end 12340.88721875
transcript.pyannote[2203].speaker SPEAKER_11
transcript.pyannote[2203].start 12340.36409375
transcript.pyannote[2203].end 12340.58346875
transcript.pyannote[2204].speaker SPEAKER_19
transcript.pyannote[2204].start 12340.58346875
transcript.pyannote[2204].end 12340.66784375
transcript.pyannote[2205].speaker SPEAKER_11
transcript.pyannote[2205].start 12340.66784375
transcript.pyannote[2205].end 12340.78596875
transcript.pyannote[2206].speaker SPEAKER_19
transcript.pyannote[2206].start 12340.78596875
transcript.pyannote[2206].end 12340.97159375
transcript.pyannote[2207].speaker SPEAKER_11
transcript.pyannote[2207].start 12340.88721875
transcript.pyannote[2207].end 12343.67159375
transcript.pyannote[2208].speaker SPEAKER_16
transcript.pyannote[2208].start 12340.97159375
transcript.pyannote[2208].end 12346.92846875
transcript.pyannote[2209].speaker SPEAKER_11
transcript.pyannote[2209].start 12344.29596875
transcript.pyannote[2209].end 12346.64159375
transcript.pyannote[2210].speaker SPEAKER_11
transcript.pyannote[2210].start 12347.67096875
transcript.pyannote[2210].end 12349.42596875
transcript.pyannote[2211].speaker SPEAKER_04
transcript.pyannote[2211].start 12350.96159375
transcript.pyannote[2211].end 12350.97846875
transcript.pyannote[2212].speaker SPEAKER_16
transcript.pyannote[2212].start 12350.97846875
transcript.pyannote[2212].end 12351.02909375
transcript.pyannote[2213].speaker SPEAKER_04
transcript.pyannote[2213].start 12351.02909375
transcript.pyannote[2213].end 12351.13034375
transcript.pyannote[2214].speaker SPEAKER_11
transcript.pyannote[2214].start 12351.67034375
transcript.pyannote[2214].end 12351.75471875
transcript.pyannote[2215].speaker SPEAKER_04
transcript.pyannote[2215].start 12352.09221875
transcript.pyannote[2215].end 12353.00346875
transcript.pyannote[2216].speaker SPEAKER_04
transcript.pyannote[2216].start 12353.94846875
transcript.pyannote[2216].end 12354.04971875
transcript.pyannote[2217].speaker SPEAKER_04
transcript.pyannote[2217].start 12354.33659375
transcript.pyannote[2217].end 12355.73721875
transcript.pyannote[2218].speaker SPEAKER_11
transcript.pyannote[2218].start 12358.16721875
transcript.pyannote[2218].end 12359.80409375
transcript.pyannote[2219].speaker SPEAKER_04
transcript.pyannote[2219].start 12359.60159375
transcript.pyannote[2219].end 12360.59721875
transcript.pyannote[2220].speaker SPEAKER_04
transcript.pyannote[2220].start 12360.90096875
transcript.pyannote[2220].end 12361.54221875
transcript.pyannote[2221].speaker SPEAKER_04
transcript.pyannote[2221].start 12362.09909375
transcript.pyannote[2221].end 12365.74409375
transcript.pyannote[2222].speaker SPEAKER_11
transcript.pyannote[2222].start 12362.26784375
transcript.pyannote[2222].end 12362.62221875
transcript.pyannote[2223].speaker SPEAKER_11
transcript.pyannote[2223].start 12365.74409375
transcript.pyannote[2223].end 12365.79471875
transcript.pyannote[2224].speaker SPEAKER_11
transcript.pyannote[2224].start 12365.96346875
transcript.pyannote[2224].end 12368.29221875
transcript.pyannote[2225].speaker SPEAKER_04
transcript.pyannote[2225].start 12366.94221875
transcript.pyannote[2225].end 12367.80284375
transcript.pyannote[2226].speaker SPEAKER_04
transcript.pyannote[2226].start 12367.98846875
transcript.pyannote[2226].end 12379.63221875
transcript.pyannote[2227].speaker SPEAKER_18
transcript.pyannote[2227].start 12371.00909375
transcript.pyannote[2227].end 12371.19471875
transcript.pyannote[2228].speaker SPEAKER_00
transcript.pyannote[2228].start 12371.19471875
transcript.pyannote[2228].end 12371.26221875
transcript.pyannote[2229].speaker SPEAKER_18
transcript.pyannote[2229].start 12371.26221875
transcript.pyannote[2229].end 12371.65034375
transcript.pyannote[2230].speaker SPEAKER_11
transcript.pyannote[2230].start 12373.99596875
transcript.pyannote[2230].end 12374.01284375
transcript.pyannote[2231].speaker SPEAKER_18
transcript.pyannote[2231].start 12374.01284375
transcript.pyannote[2231].end 12374.02971875
transcript.pyannote[2232].speaker SPEAKER_11
transcript.pyannote[2232].start 12374.02971875
transcript.pyannote[2232].end 12374.04659375
transcript.pyannote[2233].speaker SPEAKER_18
transcript.pyannote[2233].start 12374.04659375
transcript.pyannote[2233].end 12374.48534375
transcript.pyannote[2234].speaker SPEAKER_16
transcript.pyannote[2234].start 12374.48534375
transcript.pyannote[2234].end 12374.65409375
transcript.pyannote[2235].speaker SPEAKER_18
transcript.pyannote[2235].start 12374.65409375
transcript.pyannote[2235].end 12374.70471875
transcript.pyannote[2236].speaker SPEAKER_16
transcript.pyannote[2236].start 12374.70471875
transcript.pyannote[2236].end 12374.75534375
transcript.pyannote[2237].speaker SPEAKER_16
transcript.pyannote[2237].start 12377.03346875
transcript.pyannote[2237].end 12378.28221875
transcript.pyannote[2238].speaker SPEAKER_16
transcript.pyannote[2238].start 12378.31596875
transcript.pyannote[2238].end 12379.56471875
transcript.pyannote[2239].speaker SPEAKER_11
transcript.pyannote[2239].start 12379.56471875
transcript.pyannote[2239].end 12380.61096875
transcript.pyannote[2240].speaker SPEAKER_19
transcript.pyannote[2240].start 12380.61096875
transcript.pyannote[2240].end 12380.96534375
transcript.pyannote[2241].speaker SPEAKER_11
transcript.pyannote[2241].start 12380.96534375
transcript.pyannote[2241].end 12381.08346875
transcript.pyannote[2242].speaker SPEAKER_19
transcript.pyannote[2242].start 12381.08346875
transcript.pyannote[2242].end 12381.18471875
transcript.pyannote[2243].speaker SPEAKER_16
transcript.pyannote[2243].start 12381.70784375
transcript.pyannote[2243].end 12382.61909375
transcript.pyannote[2244].speaker SPEAKER_11
transcript.pyannote[2244].start 12382.61909375
transcript.pyannote[2244].end 12389.68971875
transcript.pyannote[2245].speaker SPEAKER_16
transcript.pyannote[2245].start 12384.67784375
transcript.pyannote[2245].end 12386.44971875
transcript.pyannote[2246].speaker SPEAKER_16
transcript.pyannote[2246].start 12389.68971875
transcript.pyannote[2246].end 12389.82471875
transcript.pyannote[2247].speaker SPEAKER_11
transcript.pyannote[2247].start 12390.33096875
transcript.pyannote[2247].end 12391.54596875
transcript.pyannote[2248].speaker SPEAKER_04
transcript.pyannote[2248].start 12391.32659375
transcript.pyannote[2248].end 12391.44471875
transcript.pyannote[2249].speaker SPEAKER_11
transcript.pyannote[2249].start 12391.56284375
transcript.pyannote[2249].end 12393.65534375
transcript.pyannote[2250].speaker SPEAKER_04
transcript.pyannote[2250].start 12392.49096875
transcript.pyannote[2250].end 12392.74409375
transcript.pyannote[2251].speaker SPEAKER_04
transcript.pyannote[2251].start 12393.65534375
transcript.pyannote[2251].end 12400.00034375
transcript.pyannote[2252].speaker SPEAKER_11
transcript.pyannote[2252].start 12394.02659375
transcript.pyannote[2252].end 12395.83221875
transcript.pyannote[2253].speaker SPEAKER_17
transcript.pyannote[2253].start 12395.83221875
transcript.pyannote[2253].end 12395.84909375
transcript.pyannote[2254].speaker SPEAKER_19
transcript.pyannote[2254].start 12395.84909375
transcript.pyannote[2254].end 12395.98409375
transcript.pyannote[2255].speaker SPEAKER_19
transcript.pyannote[2255].start 12400.00034375
transcript.pyannote[2255].end 12403.02096875
transcript.pyannote[2256].speaker SPEAKER_04
transcript.pyannote[2256].start 12401.72159375
transcript.pyannote[2256].end 12403.03784375
transcript.pyannote[2257].speaker SPEAKER_19
transcript.pyannote[2257].start 12403.03784375
transcript.pyannote[2257].end 12403.15596875
transcript.pyannote[2258].speaker SPEAKER_19
transcript.pyannote[2258].start 12403.20659375
transcript.pyannote[2258].end 12404.40471875
transcript.pyannote[2259].speaker SPEAKER_04
transcript.pyannote[2259].start 12406.91909375
transcript.pyannote[2259].end 12407.96534375
transcript.pyannote[2260].speaker SPEAKER_25
transcript.pyannote[2260].start 12407.96534375
transcript.pyannote[2260].end 12408.23534375
transcript.pyannote[2261].speaker SPEAKER_04
transcript.pyannote[2261].start 12408.23534375
transcript.pyannote[2261].end 12408.25221875
transcript.pyannote[2262].speaker SPEAKER_25
transcript.pyannote[2262].start 12411.00284375
transcript.pyannote[2262].end 12449.37659375
transcript.pyannote[2263].speaker SPEAKER_11
transcript.pyannote[2263].start 12449.34284375
transcript.pyannote[2263].end 12451.28346875
transcript.pyannote[2264].speaker SPEAKER_25
transcript.pyannote[2264].start 12451.28346875
transcript.pyannote[2264].end 12460.07534375
transcript.pyannote[2265].speaker SPEAKER_11
transcript.pyannote[2265].start 12457.51034375
transcript.pyannote[2265].end 12459.90659375
transcript.pyannote[2266].speaker SPEAKER_11
transcript.pyannote[2266].start 12459.94034375
transcript.pyannote[2266].end 12468.17534375
transcript.pyannote[2267].speaker SPEAKER_25
transcript.pyannote[2267].start 12461.40846875
transcript.pyannote[2267].end 12461.76284375
transcript.pyannote[2268].speaker SPEAKER_18
transcript.pyannote[2268].start 12461.76284375
transcript.pyannote[2268].end 12461.79659375
transcript.pyannote[2269].speaker SPEAKER_25
transcript.pyannote[2269].start 12465.40784375
transcript.pyannote[2269].end 12465.72846875
transcript.pyannote[2270].speaker SPEAKER_25
transcript.pyannote[2270].start 12467.17971875
transcript.pyannote[2270].end 12468.39471875
transcript.pyannote[2271].speaker SPEAKER_25
transcript.pyannote[2271].start 12468.44534375
transcript.pyannote[2271].end 12468.46221875
transcript.pyannote[2272].speaker SPEAKER_11
transcript.pyannote[2272].start 12468.46221875
transcript.pyannote[2272].end 12471.09471875
transcript.pyannote[2273].speaker SPEAKER_25
transcript.pyannote[2273].start 12471.38159375
transcript.pyannote[2273].end 12472.12409375
transcript.pyannote[2274].speaker SPEAKER_11
transcript.pyannote[2274].start 12471.68534375
transcript.pyannote[2274].end 12475.97159375
transcript.pyannote[2275].speaker SPEAKER_25
transcript.pyannote[2275].start 12474.75659375
transcript.pyannote[2275].end 12474.77346875
transcript.pyannote[2276].speaker SPEAKER_18
transcript.pyannote[2276].start 12474.77346875
transcript.pyannote[2276].end 12474.79034375
transcript.pyannote[2277].speaker SPEAKER_25
transcript.pyannote[2277].start 12474.79034375
transcript.pyannote[2277].end 12474.97596875
transcript.pyannote[2278].speaker SPEAKER_18
transcript.pyannote[2278].start 12474.97596875
transcript.pyannote[2278].end 12475.11096875
transcript.pyannote[2279].speaker SPEAKER_25
transcript.pyannote[2279].start 12475.97159375
transcript.pyannote[2279].end 12475.98846875
transcript.pyannote[2280].speaker SPEAKER_18
transcript.pyannote[2280].start 12475.98846875
transcript.pyannote[2280].end 12477.15284375
transcript.pyannote[2281].speaker SPEAKER_11
transcript.pyannote[2281].start 12476.20784375
transcript.pyannote[2281].end 12490.04534375
transcript.pyannote[2282].speaker SPEAKER_18
transcript.pyannote[2282].start 12481.40534375
transcript.pyannote[2282].end 12481.96221875
transcript.pyannote[2283].speaker SPEAKER_18
transcript.pyannote[2283].start 12483.81846875
transcript.pyannote[2283].end 12483.97034375
transcript.pyannote[2284].speaker SPEAKER_25
transcript.pyannote[2284].start 12483.97034375
transcript.pyannote[2284].end 12484.89846875
transcript.pyannote[2285].speaker SPEAKER_18
transcript.pyannote[2285].start 12484.89846875
transcript.pyannote[2285].end 12484.91534375
transcript.pyannote[2286].speaker SPEAKER_25
transcript.pyannote[2286].start 12484.91534375
transcript.pyannote[2286].end 12484.94909375
transcript.pyannote[2287].speaker SPEAKER_25
transcript.pyannote[2287].start 12488.20596875
transcript.pyannote[2287].end 12489.10034375
transcript.pyannote[2288].speaker SPEAKER_25
transcript.pyannote[2288].start 12489.92721875
transcript.pyannote[2288].end 12513.72096875
transcript.pyannote[2289].speaker SPEAKER_11
transcript.pyannote[2289].start 12490.19721875
transcript.pyannote[2289].end 12491.31096875
transcript.pyannote[2290].speaker SPEAKER_11
transcript.pyannote[2290].start 12511.89846875
transcript.pyannote[2290].end 12521.39909375
transcript.pyannote[2291].speaker SPEAKER_25
transcript.pyannote[2291].start 12514.83471875
transcript.pyannote[2291].end 12515.22284375
transcript.pyannote[2292].speaker SPEAKER_25
transcript.pyannote[2292].start 12516.18471875
transcript.pyannote[2292].end 12517.88909375
transcript.pyannote[2293].speaker SPEAKER_18
transcript.pyannote[2293].start 12517.88909375
transcript.pyannote[2293].end 12517.90596875
transcript.pyannote[2294].speaker SPEAKER_18
transcript.pyannote[2294].start 12521.68596875
transcript.pyannote[2294].end 12523.27221875
transcript.pyannote[2295].speaker SPEAKER_11
transcript.pyannote[2295].start 12522.19221875
transcript.pyannote[2295].end 12528.82409375
transcript.pyannote[2296].speaker SPEAKER_25
transcript.pyannote[2296].start 12526.73159375
transcript.pyannote[2296].end 12527.60909375
transcript.pyannote[2297].speaker SPEAKER_25
transcript.pyannote[2297].start 12528.09846875
transcript.pyannote[2297].end 12529.97159375
transcript.pyannote[2298].speaker SPEAKER_11
transcript.pyannote[2298].start 12529.61721875
transcript.pyannote[2298].end 12536.53596875
transcript.pyannote[2299].speaker SPEAKER_25
transcript.pyannote[2299].start 12532.14846875
transcript.pyannote[2299].end 12533.24534375
transcript.pyannote[2300].speaker SPEAKER_18
transcript.pyannote[2300].start 12536.48534375
transcript.pyannote[2300].end 12538.39221875
transcript.pyannote[2301].speaker SPEAKER_11
transcript.pyannote[2301].start 12536.55284375
transcript.pyannote[2301].end 12540.80534375
transcript.pyannote[2302].speaker SPEAKER_18
transcript.pyannote[2302].start 12538.44284375
transcript.pyannote[2302].end 12538.47659375
transcript.pyannote[2303].speaker SPEAKER_18
transcript.pyannote[2303].start 12538.54409375
transcript.pyannote[2303].end 12540.48471875
transcript.pyannote[2304].speaker SPEAKER_18
transcript.pyannote[2304].start 12541.51409375
transcript.pyannote[2304].end 12542.34096875
transcript.pyannote[2305].speaker SPEAKER_11
transcript.pyannote[2305].start 12541.88534375
transcript.pyannote[2305].end 12547.87596875
transcript.pyannote[2306].speaker SPEAKER_25
transcript.pyannote[2306].start 12542.34096875
transcript.pyannote[2306].end 12542.39159375
transcript.pyannote[2307].speaker SPEAKER_25
transcript.pyannote[2307].start 12547.89284375
transcript.pyannote[2307].end 12555.43596875
transcript.pyannote[2308].speaker SPEAKER_11
transcript.pyannote[2308].start 12554.15346875
transcript.pyannote[2308].end 12557.25846875
transcript.pyannote[2309].speaker SPEAKER_25
transcript.pyannote[2309].start 12557.25846875
transcript.pyannote[2309].end 12557.56221875
transcript.pyannote[2310].speaker SPEAKER_11
transcript.pyannote[2310].start 12557.52846875
transcript.pyannote[2310].end 12561.07221875
transcript.pyannote[2311].speaker SPEAKER_25
transcript.pyannote[2311].start 12559.18221875
transcript.pyannote[2311].end 12559.45221875
transcript.pyannote[2312].speaker SPEAKER_25
transcript.pyannote[2312].start 12560.59971875
transcript.pyannote[2312].end 12568.85159375
transcript.pyannote[2313].speaker SPEAKER_11
transcript.pyannote[2313].start 12569.18909375
transcript.pyannote[2313].end 12572.34471875
transcript.pyannote[2314].speaker SPEAKER_11
transcript.pyannote[2314].start 12572.85096875
transcript.pyannote[2314].end 12578.58846875
transcript.pyannote[2315].speaker SPEAKER_25
transcript.pyannote[2315].start 12578.13284375
transcript.pyannote[2315].end 12585.52409375
transcript.pyannote[2316].speaker SPEAKER_25
transcript.pyannote[2316].start 12588.24096875
transcript.pyannote[2316].end 12596.05409375
transcript.pyannote[2317].speaker SPEAKER_18
transcript.pyannote[2317].start 12595.49721875
transcript.pyannote[2317].end 12596.03721875
transcript.pyannote[2318].speaker SPEAKER_18
transcript.pyannote[2318].start 12596.05409375
transcript.pyannote[2318].end 12596.10471875
transcript.pyannote[2319].speaker SPEAKER_25
transcript.pyannote[2319].start 12596.10471875
transcript.pyannote[2319].end 12596.17221875
transcript.pyannote[2320].speaker SPEAKER_18
transcript.pyannote[2320].start 12596.17221875
transcript.pyannote[2320].end 12596.18909375
transcript.pyannote[2321].speaker SPEAKER_25
transcript.pyannote[2321].start 12596.18909375
transcript.pyannote[2321].end 12602.71971875
transcript.pyannote[2322].speaker SPEAKER_18
transcript.pyannote[2322].start 12596.23971875
transcript.pyannote[2322].end 12596.69534375
transcript.pyannote[2323].speaker SPEAKER_11
transcript.pyannote[2323].start 12600.93096875
transcript.pyannote[2323].end 12600.96471875
transcript.pyannote[2324].speaker SPEAKER_11
transcript.pyannote[2324].start 12601.35284375
transcript.pyannote[2324].end 12608.82846875
transcript.pyannote[2325].speaker SPEAKER_11
transcript.pyannote[2325].start 12609.11534375
transcript.pyannote[2325].end 12618.83534375
transcript.pyannote[2326].speaker SPEAKER_11
transcript.pyannote[2326].start 12619.57784375
transcript.pyannote[2326].end 12620.45534375
transcript.pyannote[2327].speaker SPEAKER_25
transcript.pyannote[2327].start 12620.18534375
transcript.pyannote[2327].end 12635.84534375
transcript.pyannote[2328].speaker SPEAKER_11
transcript.pyannote[2328].start 12624.26909375
transcript.pyannote[2328].end 12626.61471875
transcript.pyannote[2329].speaker SPEAKER_11
transcript.pyannote[2329].start 12631.13721875
transcript.pyannote[2329].end 12633.09471875
transcript.pyannote[2330].speaker SPEAKER_11
transcript.pyannote[2330].start 12635.96346875
transcript.pyannote[2330].end 12637.34721875
transcript.pyannote[2331].speaker SPEAKER_25
transcript.pyannote[2331].start 12636.60471875
transcript.pyannote[2331].end 12640.51971875
transcript.pyannote[2332].speaker SPEAKER_11
transcript.pyannote[2332].start 12639.15284375
transcript.pyannote[2332].end 12645.21096875
transcript.pyannote[2333].speaker SPEAKER_25
transcript.pyannote[2333].start 12641.17784375
transcript.pyannote[2333].end 12650.18909375
transcript.pyannote[2334].speaker SPEAKER_11
transcript.pyannote[2334].start 12648.40034375
transcript.pyannote[2334].end 12649.19346875
transcript.pyannote[2335].speaker SPEAKER_11
transcript.pyannote[2335].start 12649.53096875
transcript.pyannote[2335].end 12665.08971875
transcript.pyannote[2336].speaker SPEAKER_25
transcript.pyannote[2336].start 12651.55596875
transcript.pyannote[2336].end 12651.97784375
transcript.pyannote[2337].speaker SPEAKER_25
transcript.pyannote[2337].start 12661.84971875
transcript.pyannote[2337].end 12662.22096875
transcript.pyannote[2338].speaker SPEAKER_25
transcript.pyannote[2338].start 12665.08971875
transcript.pyannote[2338].end 12672.21096875
transcript.pyannote[2339].speaker SPEAKER_25
transcript.pyannote[2339].start 12672.59909375
transcript.pyannote[2339].end 12685.20471875
transcript.pyannote[2340].speaker SPEAKER_25
transcript.pyannote[2340].start 12685.44096875
transcript.pyannote[2340].end 12687.51659375
transcript.pyannote[2341].speaker SPEAKER_11
transcript.pyannote[2341].start 12688.03971875
transcript.pyannote[2341].end 12690.73971875
transcript.pyannote[2342].speaker SPEAKER_25
transcript.pyannote[2342].start 12688.68096875
transcript.pyannote[2342].end 12688.73159375
transcript.pyannote[2343].speaker SPEAKER_25
transcript.pyannote[2343].start 12690.45284375
transcript.pyannote[2343].end 12691.19534375
transcript.pyannote[2344].speaker SPEAKER_25
transcript.pyannote[2344].start 12692.32596875
transcript.pyannote[2344].end 12699.64971875
transcript.pyannote[2345].speaker SPEAKER_11
transcript.pyannote[2345].start 12698.01284375
transcript.pyannote[2345].end 12698.29971875
transcript.pyannote[2346].speaker SPEAKER_11
transcript.pyannote[2346].start 12698.75534375
transcript.pyannote[2346].end 12717.85784375
transcript.pyannote[2347].speaker SPEAKER_25
transcript.pyannote[2347].start 12717.84096875
transcript.pyannote[2347].end 12725.33346875
transcript.pyannote[2348].speaker SPEAKER_11
transcript.pyannote[2348].start 12718.21221875
transcript.pyannote[2348].end 12721.35096875
transcript.pyannote[2349].speaker SPEAKER_11
transcript.pyannote[2349].start 12722.27909375
transcript.pyannote[2349].end 12723.24096875
transcript.pyannote[2350].speaker SPEAKER_11
transcript.pyannote[2350].start 12724.06784375
transcript.pyannote[2350].end 12725.21534375
transcript.pyannote[2351].speaker SPEAKER_11
transcript.pyannote[2351].start 12725.73846875
transcript.pyannote[2351].end 12728.11784375
transcript.pyannote[2352].speaker SPEAKER_25
transcript.pyannote[2352].start 12728.40471875
transcript.pyannote[2352].end 12728.64096875
transcript.pyannote[2353].speaker SPEAKER_11
transcript.pyannote[2353].start 12728.48909375
transcript.pyannote[2353].end 12738.76596875
transcript.pyannote[2354].speaker SPEAKER_04
transcript.pyannote[2354].start 12734.96909375
transcript.pyannote[2354].end 12735.03659375
transcript.pyannote[2355].speaker SPEAKER_25
transcript.pyannote[2355].start 12735.03659375
transcript.pyannote[2355].end 12735.62721875
transcript.pyannote[2356].speaker SPEAKER_04
transcript.pyannote[2356].start 12735.62721875
transcript.pyannote[2356].end 12735.69471875
transcript.pyannote[2357].speaker SPEAKER_25
transcript.pyannote[2357].start 12735.69471875
transcript.pyannote[2357].end 12740.21721875
transcript.pyannote[2358].speaker SPEAKER_04
transcript.pyannote[2358].start 12738.76596875
transcript.pyannote[2358].end 12738.88409375
transcript.pyannote[2359].speaker SPEAKER_04
transcript.pyannote[2359].start 12739.28909375
transcript.pyannote[2359].end 12739.30596875
transcript.pyannote[2360].speaker SPEAKER_11
transcript.pyannote[2360].start 12739.30596875
transcript.pyannote[2360].end 12739.87971875
transcript.pyannote[2361].speaker SPEAKER_04
transcript.pyannote[2361].start 12739.87971875
transcript.pyannote[2361].end 12739.91346875
transcript.pyannote[2362].speaker SPEAKER_25
transcript.pyannote[2362].start 12740.53784375
transcript.pyannote[2362].end 12740.55471875
transcript.pyannote[2363].speaker SPEAKER_11
transcript.pyannote[2363].start 12740.55471875
transcript.pyannote[2363].end 12741.85409375
transcript.pyannote[2364].speaker SPEAKER_25
transcript.pyannote[2364].start 12740.58846875
transcript.pyannote[2364].end 12741.11159375
transcript.pyannote[2365].speaker SPEAKER_25
transcript.pyannote[2365].start 12741.90471875
transcript.pyannote[2365].end 12742.54596875
transcript.pyannote[2366].speaker SPEAKER_11
transcript.pyannote[2366].start 12742.54596875
transcript.pyannote[2366].end 12744.06471875
transcript.pyannote[2367].speaker SPEAKER_25
transcript.pyannote[2367].start 12743.91284375
transcript.pyannote[2367].end 12748.46909375
transcript.pyannote[2368].speaker SPEAKER_18
transcript.pyannote[2368].start 12744.85784375
transcript.pyannote[2368].end 12746.03909375
transcript.pyannote[2369].speaker SPEAKER_11
transcript.pyannote[2369].start 12746.03909375
transcript.pyannote[2369].end 12746.20784375
transcript.pyannote[2370].speaker SPEAKER_18
transcript.pyannote[2370].start 12746.20784375
transcript.pyannote[2370].end 12746.25846875
transcript.pyannote[2371].speaker SPEAKER_00
transcript.pyannote[2371].start 12746.25846875
transcript.pyannote[2371].end 12746.27534375
transcript.pyannote[2372].speaker SPEAKER_11
transcript.pyannote[2372].start 12747.91221875
transcript.pyannote[2372].end 12750.10596875
transcript.pyannote[2373].speaker SPEAKER_25
transcript.pyannote[2373].start 12750.03846875
transcript.pyannote[2373].end 12750.39284375
transcript.pyannote[2374].speaker SPEAKER_11
transcript.pyannote[2374].start 12750.12284375
transcript.pyannote[2374].end 12752.51909375
transcript.pyannote[2375].speaker SPEAKER_25
transcript.pyannote[2375].start 12751.94534375
transcript.pyannote[2375].end 12758.20596875
transcript.pyannote[2376].speaker SPEAKER_11
transcript.pyannote[2376].start 12758.86409375
transcript.pyannote[2376].end 12769.69784375
transcript.pyannote[2377].speaker SPEAKER_25
transcript.pyannote[2377].start 12759.15096875
transcript.pyannote[2377].end 12759.55596875
transcript.pyannote[2378].speaker SPEAKER_25
transcript.pyannote[2378].start 12760.46721875
transcript.pyannote[2378].end 12762.39096875
transcript.pyannote[2379].speaker SPEAKER_25
transcript.pyannote[2379].start 12764.04471875
transcript.pyannote[2379].end 12765.81659375
transcript.pyannote[2380].speaker SPEAKER_25
transcript.pyannote[2380].start 12767.60534375
transcript.pyannote[2380].end 12767.62221875
transcript.pyannote[2381].speaker SPEAKER_25
transcript.pyannote[2381].start 12767.80784375
transcript.pyannote[2381].end 12779.06346875
transcript.pyannote[2382].speaker SPEAKER_11
transcript.pyannote[2382].start 12776.80221875
transcript.pyannote[2382].end 12782.59034375
transcript.pyannote[2383].speaker SPEAKER_04
transcript.pyannote[2383].start 12782.50596875
transcript.pyannote[2383].end 12787.53471875
transcript.pyannote[2384].speaker SPEAKER_04
transcript.pyannote[2384].start 12788.15909375
transcript.pyannote[2384].end 12790.96034375
transcript.pyannote[2385].speaker SPEAKER_04
transcript.pyannote[2385].start 12792.59721875
transcript.pyannote[2385].end 12793.15409375
transcript.pyannote[2386].speaker SPEAKER_09
transcript.pyannote[2386].start 12793.98096875
transcript.pyannote[2386].end 12801.76034375
transcript.pyannote[2387].speaker SPEAKER_09
transcript.pyannote[2387].start 12802.03034375
transcript.pyannote[2387].end 12809.10096875
transcript.pyannote[2388].speaker SPEAKER_19
transcript.pyannote[2388].start 12810.61971875
transcript.pyannote[2388].end 12811.32846875
transcript.pyannote[2389].speaker SPEAKER_19
transcript.pyannote[2389].start 12811.53096875
transcript.pyannote[2389].end 12812.15534375
transcript.pyannote[2390].speaker SPEAKER_19
transcript.pyannote[2390].start 12812.40846875
transcript.pyannote[2390].end 12813.96096875
transcript.pyannote[2391].speaker SPEAKER_19
transcript.pyannote[2391].start 12815.07471875
transcript.pyannote[2391].end 12816.55971875
transcript.pyannote[2392].speaker SPEAKER_19
transcript.pyannote[2392].start 12817.21784375
transcript.pyannote[2392].end 12819.37784375
transcript.pyannote[2393].speaker SPEAKER_19
transcript.pyannote[2393].start 12820.17096875
transcript.pyannote[2393].end 12821.14971875
transcript.pyannote[2394].speaker SPEAKER_19
transcript.pyannote[2394].start 12821.50409375
transcript.pyannote[2394].end 12824.60909375
transcript.pyannote[2395].speaker SPEAKER_19
transcript.pyannote[2395].start 12824.99721875
transcript.pyannote[2395].end 12825.79034375
transcript.pyannote[2396].speaker SPEAKER_19
transcript.pyannote[2396].start 12826.21221875
transcript.pyannote[2396].end 12827.42721875
transcript.pyannote[2397].speaker SPEAKER_19
transcript.pyannote[2397].start 12828.20346875
transcript.pyannote[2397].end 12832.82721875
transcript.pyannote[2398].speaker SPEAKER_19
transcript.pyannote[2398].start 12833.08034375
transcript.pyannote[2398].end 12837.02909375
transcript.pyannote[2399].speaker SPEAKER_19
transcript.pyannote[2399].start 12838.09221875
transcript.pyannote[2399].end 12839.39159375
transcript.pyannote[2400].speaker SPEAKER_19
transcript.pyannote[2400].start 12840.26909375
transcript.pyannote[2400].end 12842.56409375
transcript.pyannote[2401].speaker SPEAKER_00
transcript.pyannote[2401].start 12840.31971875
transcript.pyannote[2401].end 12856.43534375
transcript.pyannote[2402].speaker SPEAKER_19
transcript.pyannote[2402].start 12843.18846875
transcript.pyannote[2402].end 12843.32346875
transcript.pyannote[2403].speaker SPEAKER_00
transcript.pyannote[2403].start 12857.49846875
transcript.pyannote[2403].end 12858.57846875
transcript.pyannote[2404].speaker SPEAKER_19
transcript.pyannote[2404].start 12860.58659375
transcript.pyannote[2404].end 12861.97034375
transcript.pyannote[2405].speaker SPEAKER_19
transcript.pyannote[2405].start 12863.67471875
transcript.pyannote[2405].end 12864.85596875
transcript.pyannote[2406].speaker SPEAKER_00
transcript.pyannote[2406].start 12864.90659375
transcript.pyannote[2406].end 12866.99909375
transcript.pyannote[2407].speaker SPEAKER_19
transcript.pyannote[2407].start 12866.42534375
transcript.pyannote[2407].end 12868.53471875
transcript.pyannote[2408].speaker SPEAKER_19
transcript.pyannote[2408].start 12869.88471875
transcript.pyannote[2408].end 12871.20096875
transcript.pyannote[2409].speaker SPEAKER_09
transcript.pyannote[2409].start 12871.48784375
transcript.pyannote[2409].end 12873.36096875
transcript.pyannote[2410].speaker SPEAKER_09
transcript.pyannote[2410].start 12873.79971875
transcript.pyannote[2410].end 12874.74471875
transcript.pyannote[2411].speaker SPEAKER_09
transcript.pyannote[2411].start 12874.77846875
transcript.pyannote[2411].end 12879.45284375
transcript.pyannote[2412].speaker SPEAKER_19
transcript.pyannote[2412].start 12876.60096875
transcript.pyannote[2412].end 12877.05659375
transcript.pyannote[2413].speaker SPEAKER_19
transcript.pyannote[2413].start 12879.35159375
transcript.pyannote[2413].end 12879.77346875
transcript.pyannote[2414].speaker SPEAKER_09
transcript.pyannote[2414].start 12879.77346875
transcript.pyannote[2414].end 12880.00971875
transcript.pyannote[2415].speaker SPEAKER_19
transcript.pyannote[2415].start 12880.16159375
transcript.pyannote[2415].end 12880.58346875
transcript.pyannote[2416].speaker SPEAKER_19
transcript.pyannote[2416].start 12881.08971875
transcript.pyannote[2416].end 12889.27409375
transcript.pyannote[2417].speaker SPEAKER_19
transcript.pyannote[2417].start 12889.71284375
transcript.pyannote[2417].end 12894.77534375
transcript.pyannote[2418].speaker SPEAKER_19
transcript.pyannote[2418].start 12895.21409375
transcript.pyannote[2418].end 12899.24721875
transcript.pyannote[2419].speaker SPEAKER_19
transcript.pyannote[2419].start 12899.50034375
transcript.pyannote[2419].end 12899.65221875
transcript.pyannote[2420].speaker SPEAKER_19
transcript.pyannote[2420].start 12899.75346875
transcript.pyannote[2420].end 12910.06409375
transcript.pyannote[2421].speaker SPEAKER_19
transcript.pyannote[2421].start 12910.55346875
transcript.pyannote[2421].end 12911.12721875
transcript.pyannote[2422].speaker SPEAKER_19
transcript.pyannote[2422].start 12911.75159375
transcript.pyannote[2422].end 12916.22346875
transcript.pyannote[2423].speaker SPEAKER_19
transcript.pyannote[2423].start 12917.70846875
transcript.pyannote[2423].end 12925.31909375
transcript.pyannote[2424].speaker SPEAKER_19
transcript.pyannote[2424].start 12926.26409375
transcript.pyannote[2424].end 12927.17534375
transcript.pyannote[2425].speaker SPEAKER_19
transcript.pyannote[2425].start 12927.93471875
transcript.pyannote[2425].end 12928.15409375
transcript.pyannote[2426].speaker SPEAKER_19
transcript.pyannote[2426].start 12928.52534375
transcript.pyannote[2426].end 12932.03534375
transcript.pyannote[2427].speaker SPEAKER_19
transcript.pyannote[2427].start 12932.57534375
transcript.pyannote[2427].end 12932.69346875
transcript.pyannote[2428].speaker SPEAKER_09
transcript.pyannote[2428].start 12932.69346875
transcript.pyannote[2428].end 12975.40409375
transcript.pyannote[2429].speaker SPEAKER_19
transcript.pyannote[2429].start 12979.84221875
transcript.pyannote[2429].end 12983.06534375
transcript.pyannote[2430].speaker SPEAKER_09
transcript.pyannote[2430].start 12983.06534375
transcript.pyannote[2430].end 12984.06096875
transcript.pyannote[2431].speaker SPEAKER_19
transcript.pyannote[2431].start 12983.09909375
transcript.pyannote[2431].end 12985.68096875
transcript.pyannote[2432].speaker SPEAKER_09
transcript.pyannote[2432].start 12985.42784375
transcript.pyannote[2432].end 12986.32221875
transcript.pyannote[2433].speaker SPEAKER_19
transcript.pyannote[2433].start 12986.32221875
transcript.pyannote[2433].end 12987.55409375
transcript.pyannote[2434].speaker SPEAKER_09
transcript.pyannote[2434].start 12987.73971875
transcript.pyannote[2434].end 12988.61721875
transcript.pyannote[2435].speaker SPEAKER_19
transcript.pyannote[2435].start 12988.60034375
transcript.pyannote[2435].end 12991.08096875
transcript.pyannote[2436].speaker SPEAKER_09
transcript.pyannote[2436].start 12994.43909375
transcript.pyannote[2436].end 12995.11409375
transcript.pyannote[2437].speaker SPEAKER_04
transcript.pyannote[2437].start 12996.46409375
transcript.pyannote[2437].end 12998.43846875
transcript.pyannote[2438].speaker SPEAKER_04
transcript.pyannote[2438].start 12999.07971875
transcript.pyannote[2438].end 13003.19721875
transcript.pyannote[2439].speaker SPEAKER_04
transcript.pyannote[2439].start 13004.04096875
transcript.pyannote[2439].end 13005.17159375
transcript.pyannote[2440].speaker SPEAKER_04
transcript.pyannote[2440].start 13005.55971875
transcript.pyannote[2440].end 13006.60596875
transcript.pyannote[2441].speaker SPEAKER_24
transcript.pyannote[2441].start 13007.41596875
transcript.pyannote[2441].end 13033.89284375
transcript.pyannote[2442].speaker SPEAKER_24
transcript.pyannote[2442].start 13034.34846875
transcript.pyannote[2442].end 13047.24096875
transcript.pyannote[2443].speaker SPEAKER_19
transcript.pyannote[2443].start 13049.83971875
transcript.pyannote[2443].end 13050.86909375
transcript.pyannote[2444].speaker SPEAKER_19
transcript.pyannote[2444].start 13051.37534375
transcript.pyannote[2444].end 13058.53034375
transcript.pyannote[2445].speaker SPEAKER_24
transcript.pyannote[2445].start 13055.81346875
transcript.pyannote[2445].end 13056.57284375
transcript.pyannote[2446].speaker SPEAKER_04
transcript.pyannote[2446].start 13056.57284375
transcript.pyannote[2446].end 13056.58971875
transcript.pyannote[2447].speaker SPEAKER_24
transcript.pyannote[2447].start 13057.01159375
transcript.pyannote[2447].end 13058.42909375
transcript.pyannote[2448].speaker SPEAKER_24
transcript.pyannote[2448].start 13058.53034375
transcript.pyannote[2448].end 13059.40784375
transcript.pyannote[2449].speaker SPEAKER_04
transcript.pyannote[2449].start 13060.99409375
transcript.pyannote[2449].end 13062.36096875
transcript.pyannote[2450].speaker SPEAKER_04
transcript.pyannote[2450].start 13069.07721875
transcript.pyannote[2450].end 13072.51971875
transcript.pyannote[2451].speaker SPEAKER_04
transcript.pyannote[2451].start 13073.19471875
transcript.pyannote[2451].end 13074.15659375
transcript.pyannote[2452].speaker SPEAKER_04
transcript.pyannote[2452].start 13075.13534375
transcript.pyannote[2452].end 13084.97346875
transcript.pyannote[2453].speaker SPEAKER_07
transcript.pyannote[2453].start 13075.96221875
transcript.pyannote[2453].end 13079.97846875
transcript.pyannote[2454].speaker SPEAKER_19
transcript.pyannote[2454].start 13079.97846875
transcript.pyannote[2454].end 13080.02909375
transcript.pyannote[2455].speaker SPEAKER_17
transcript.pyannote[2455].start 13080.02909375
transcript.pyannote[2455].end 13080.55221875
transcript.pyannote[2456].speaker SPEAKER_19
transcript.pyannote[2456].start 13080.80534375
transcript.pyannote[2456].end 13080.82221875
transcript.pyannote[2457].speaker SPEAKER_04
transcript.pyannote[2457].start 13085.42909375
transcript.pyannote[2457].end 13089.25971875
transcript.pyannote[2458].speaker SPEAKER_24
transcript.pyannote[2458].start 13089.59721875
transcript.pyannote[2458].end 13090.25534375
transcript.pyannote[2459].speaker SPEAKER_04
transcript.pyannote[2459].start 13091.33534375
transcript.pyannote[2459].end 13091.97659375
transcript.pyannote[2460].speaker SPEAKER_24
transcript.pyannote[2460].start 13091.97659375
transcript.pyannote[2460].end 13092.02721875
transcript.pyannote[2461].speaker SPEAKER_04
transcript.pyannote[2461].start 13092.02721875
transcript.pyannote[2461].end 13092.16221875
transcript.pyannote[2462].speaker SPEAKER_24
transcript.pyannote[2462].start 13092.16221875
transcript.pyannote[2462].end 13092.19596875
transcript.pyannote[2463].speaker SPEAKER_24
transcript.pyannote[2463].start 13094.52471875
transcript.pyannote[2463].end 13112.74971875
transcript.pyannote[2464].speaker SPEAKER_24
transcript.pyannote[2464].start 13113.47534375
transcript.pyannote[2464].end 13153.80659375
transcript.pyannote[2465].speaker SPEAKER_19
transcript.pyannote[2465].start 13155.20721875
transcript.pyannote[2465].end 13158.02534375
transcript.pyannote[2466].speaker SPEAKER_19
transcript.pyannote[2466].start 13158.66659375
transcript.pyannote[2466].end 13161.16409375
transcript.pyannote[2467].speaker SPEAKER_24
transcript.pyannote[2467].start 13160.33721875
transcript.pyannote[2467].end 13164.45471875
transcript.pyannote[2468].speaker SPEAKER_24
transcript.pyannote[2468].start 13165.63596875
transcript.pyannote[2468].end 13178.76471875
transcript.pyannote[2469].speaker SPEAKER_19
transcript.pyannote[2469].start 13183.48971875
transcript.pyannote[2469].end 13186.15596875
transcript.pyannote[2470].speaker SPEAKER_19
transcript.pyannote[2470].start 13187.23596875
transcript.pyannote[2470].end 13190.13846875
transcript.pyannote[2471].speaker SPEAKER_24
transcript.pyannote[2471].start 13190.13846875
transcript.pyannote[2471].end 13193.24346875
transcript.pyannote[2472].speaker SPEAKER_24
transcript.pyannote[2472].start 13193.53034375
transcript.pyannote[2472].end 13225.49159375
transcript.pyannote[2473].speaker SPEAKER_24
transcript.pyannote[2473].start 13227.63471875
transcript.pyannote[2473].end 13228.22534375
transcript.pyannote[2474].speaker SPEAKER_19
transcript.pyannote[2474].start 13228.22534375
transcript.pyannote[2474].end 13228.49534375
transcript.pyannote[2475].speaker SPEAKER_24
transcript.pyannote[2475].start 13228.49534375
transcript.pyannote[2475].end 13228.56284375
transcript.pyannote[2476].speaker SPEAKER_19
transcript.pyannote[2476].start 13228.56284375
transcript.pyannote[2476].end 13228.57971875
transcript.pyannote[2477].speaker SPEAKER_24
transcript.pyannote[2477].start 13228.57971875
transcript.pyannote[2477].end 13228.63034375
transcript.pyannote[2478].speaker SPEAKER_19
transcript.pyannote[2478].start 13228.63034375
transcript.pyannote[2478].end 13228.83284375
transcript.pyannote[2479].speaker SPEAKER_19
transcript.pyannote[2479].start 13229.03534375
transcript.pyannote[2479].end 13229.06909375
transcript.pyannote[2480].speaker SPEAKER_24
transcript.pyannote[2480].start 13229.06909375
transcript.pyannote[2480].end 13229.89596875
transcript.pyannote[2481].speaker SPEAKER_24
transcript.pyannote[2481].start 13230.46971875
transcript.pyannote[2481].end 13230.95909375
transcript.pyannote[2482].speaker SPEAKER_24
transcript.pyannote[2482].start 13231.24596875
transcript.pyannote[2482].end 13249.72409375
transcript.pyannote[2483].speaker SPEAKER_24
transcript.pyannote[2483].start 13250.73659375
transcript.pyannote[2483].end 13251.12471875
transcript.pyannote[2484].speaker SPEAKER_24
transcript.pyannote[2484].start 13251.90096875
transcript.pyannote[2484].end 13262.07659375
transcript.pyannote[2485].speaker SPEAKER_24
transcript.pyannote[2485].start 13262.32971875
transcript.pyannote[2485].end 13263.39284375
transcript.pyannote[2486].speaker SPEAKER_19
transcript.pyannote[2486].start 13263.39284375
transcript.pyannote[2486].end 13263.46034375
transcript.pyannote[2487].speaker SPEAKER_24
transcript.pyannote[2487].start 13264.15221875
transcript.pyannote[2487].end 13264.18596875
transcript.pyannote[2488].speaker SPEAKER_19
transcript.pyannote[2488].start 13264.18596875
transcript.pyannote[2488].end 13276.92659375
transcript.pyannote[2489].speaker SPEAKER_17
transcript.pyannote[2489].start 13265.89034375
transcript.pyannote[2489].end 13266.85221875
transcript.pyannote[2490].speaker SPEAKER_24
transcript.pyannote[2490].start 13266.85221875
transcript.pyannote[2490].end 13266.88596875
transcript.pyannote[2491].speaker SPEAKER_24
transcript.pyannote[2491].start 13274.20971875
transcript.pyannote[2491].end 13276.03221875
transcript.pyannote[2492].speaker SPEAKER_04
transcript.pyannote[2492].start 13276.03221875
transcript.pyannote[2492].end 13276.60596875
transcript.pyannote[2493].speaker SPEAKER_24
transcript.pyannote[2493].start 13276.60596875
transcript.pyannote[2493].end 13276.63971875
transcript.pyannote[2494].speaker SPEAKER_04
transcript.pyannote[2494].start 13276.63971875
transcript.pyannote[2494].end 13276.70721875
transcript.pyannote[2495].speaker SPEAKER_19
transcript.pyannote[2495].start 13277.87159375
transcript.pyannote[2495].end 13281.63471875
transcript.pyannote[2496].speaker SPEAKER_04
transcript.pyannote[2496].start 13281.63471875
transcript.pyannote[2496].end 13289.97096875
transcript.pyannote[2497].speaker SPEAKER_04
transcript.pyannote[2497].start 13292.35034375
transcript.pyannote[2497].end 13292.36721875
transcript.pyannote[2498].speaker SPEAKER_24
transcript.pyannote[2498].start 13292.36721875
transcript.pyannote[2498].end 13327.12971875
transcript.pyannote[2499].speaker SPEAKER_24
transcript.pyannote[2499].start 13327.50096875
transcript.pyannote[2499].end 13368.01784375
transcript.pyannote[2500].speaker SPEAKER_24
transcript.pyannote[2500].start 13370.24534375
transcript.pyannote[2500].end 13370.26221875
transcript.pyannote[2501].speaker SPEAKER_19
transcript.pyannote[2501].start 13370.26221875
transcript.pyannote[2501].end 13377.53534375
transcript.pyannote[2502].speaker SPEAKER_24
transcript.pyannote[2502].start 13375.10534375
transcript.pyannote[2502].end 13375.71284375
transcript.pyannote[2503].speaker SPEAKER_19
transcript.pyannote[2503].start 13377.70409375
transcript.pyannote[2503].end 13380.03284375
transcript.pyannote[2504].speaker SPEAKER_19
transcript.pyannote[2504].start 13380.08346875
transcript.pyannote[2504].end 13382.63159375
transcript.pyannote[2505].speaker SPEAKER_04
transcript.pyannote[2505].start 13381.29846875
transcript.pyannote[2505].end 13382.36159375
transcript.pyannote[2506].speaker SPEAKER_04
transcript.pyannote[2506].start 13383.03659375
transcript.pyannote[2506].end 13383.40784375
transcript.pyannote[2507].speaker SPEAKER_04
transcript.pyannote[2507].start 13383.86346875
transcript.pyannote[2507].end 13385.11221875
transcript.pyannote[2508].speaker SPEAKER_04
transcript.pyannote[2508].start 13385.16284375
transcript.pyannote[2508].end 13385.63534375
transcript.pyannote[2509].speaker SPEAKER_04
transcript.pyannote[2509].start 13386.27659375
transcript.pyannote[2509].end 13387.94721875
transcript.pyannote[2510].speaker SPEAKER_04
transcript.pyannote[2510].start 13387.96409375
transcript.pyannote[2510].end 13387.99784375
transcript.pyannote[2511].speaker SPEAKER_04
transcript.pyannote[2511].start 13388.97659375
transcript.pyannote[2511].end 13390.10721875
transcript.pyannote[2512].speaker SPEAKER_07
transcript.pyannote[2512].start 13390.91721875
transcript.pyannote[2512].end 13402.67909375
transcript.pyannote[2513].speaker SPEAKER_07
transcript.pyannote[2513].start 13403.40471875
transcript.pyannote[2513].end 13418.33909375
transcript.pyannote[2514].speaker SPEAKER_04
transcript.pyannote[2514].start 13419.23346875
transcript.pyannote[2514].end 13423.95846875
transcript.pyannote[2515].speaker SPEAKER_07
transcript.pyannote[2515].start 13422.03471875
transcript.pyannote[2515].end 13422.18659375
transcript.pyannote[2516].speaker SPEAKER_07
transcript.pyannote[2516].start 13423.51971875
transcript.pyannote[2516].end 13423.78971875
transcript.pyannote[2517].speaker SPEAKER_04
transcript.pyannote[2517].start 13423.97534375
transcript.pyannote[2517].end 13424.05971875
transcript.pyannote[2518].speaker SPEAKER_04
transcript.pyannote[2518].start 13424.07659375
transcript.pyannote[2518].end 13425.39284375
transcript.pyannote[2519].speaker SPEAKER_07
transcript.pyannote[2519].start 13424.70096875
transcript.pyannote[2519].end 13425.03846875
transcript.pyannote[2520].speaker SPEAKER_04
transcript.pyannote[2520].start 13427.56971875
transcript.pyannote[2520].end 13428.44721875
transcript.pyannote[2521].speaker SPEAKER_04
transcript.pyannote[2521].start 13431.58596875
transcript.pyannote[2521].end 13431.94034375
transcript.pyannote[2522].speaker SPEAKER_04
transcript.pyannote[2522].start 13431.97409375
transcript.pyannote[2522].end 13432.02471875
transcript.pyannote[2523].speaker SPEAKER_04
transcript.pyannote[2523].start 13432.83471875
transcript.pyannote[2523].end 13433.94846875
transcript.pyannote[2524].speaker SPEAKER_04
transcript.pyannote[2524].start 13434.01596875
transcript.pyannote[2524].end 13434.15096875
transcript.pyannote[2525].speaker SPEAKER_17
transcript.pyannote[2525].start 13439.12909375
transcript.pyannote[2525].end 13439.63534375
transcript.pyannote[2526].speaker SPEAKER_06
transcript.pyannote[2526].start 13439.63534375
transcript.pyannote[2526].end 13439.93909375
transcript.pyannote[2527].speaker SPEAKER_06
transcript.pyannote[2527].start 13440.02346875
transcript.pyannote[2527].end 13440.73221875
transcript.pyannote[2528].speaker SPEAKER_17
transcript.pyannote[2528].start 13440.73221875
transcript.pyannote[2528].end 13441.03596875
transcript.pyannote[2529].speaker SPEAKER_06
transcript.pyannote[2529].start 13441.03596875
transcript.pyannote[2529].end 13451.29596875
transcript.pyannote[2530].speaker SPEAKER_17
transcript.pyannote[2530].start 13442.33534375
transcript.pyannote[2530].end 13442.38596875
transcript.pyannote[2531].speaker SPEAKER_17
transcript.pyannote[2531].start 13442.40284375
transcript.pyannote[2531].end 13442.53784375
transcript.pyannote[2532].speaker SPEAKER_17
transcript.pyannote[2532].start 13442.55471875
transcript.pyannote[2532].end 13442.57159375
transcript.pyannote[2533].speaker SPEAKER_17
transcript.pyannote[2533].start 13443.80346875
transcript.pyannote[2533].end 13443.85409375
transcript.pyannote[2534].speaker SPEAKER_04
transcript.pyannote[2534].start 13446.70596875
transcript.pyannote[2534].end 13447.51596875
transcript.pyannote[2535].speaker SPEAKER_14
transcript.pyannote[2535].start 13452.52784375
transcript.pyannote[2535].end 13453.16909375
transcript.pyannote[2536].speaker SPEAKER_14
transcript.pyannote[2536].start 13453.99596875
transcript.pyannote[2536].end 13461.64034375
transcript.pyannote[2537].speaker SPEAKER_11
transcript.pyannote[2537].start 13459.15971875
transcript.pyannote[2537].end 13470.29721875
transcript.pyannote[2538].speaker SPEAKER_14
transcript.pyannote[2538].start 13462.66971875
transcript.pyannote[2538].end 13467.29346875
transcript.pyannote[2539].speaker SPEAKER_14
transcript.pyannote[2539].start 13469.01471875
transcript.pyannote[2539].end 13471.29284375
transcript.pyannote[2540].speaker SPEAKER_04
transcript.pyannote[2540].start 13471.02284375
transcript.pyannote[2540].end 13471.52909375
transcript.pyannote[2541].speaker SPEAKER_17
transcript.pyannote[2541].start 13471.29284375
transcript.pyannote[2541].end 13471.32659375
transcript.pyannote[2542].speaker SPEAKER_11
transcript.pyannote[2542].start 13471.32659375
transcript.pyannote[2542].end 13471.37721875
transcript.pyannote[2543].speaker SPEAKER_14
transcript.pyannote[2543].start 13471.37721875
transcript.pyannote[2543].end 13471.39409375
transcript.pyannote[2544].speaker SPEAKER_11
transcript.pyannote[2544].start 13471.39409375
transcript.pyannote[2544].end 13473.92534375
transcript.pyannote[2545].speaker SPEAKER_04
transcript.pyannote[2545].start 13472.25471875
transcript.pyannote[2545].end 13472.65971875
transcript.pyannote[2546].speaker SPEAKER_04
transcript.pyannote[2546].start 13474.04346875
transcript.pyannote[2546].end 13475.29221875
transcript.pyannote[2547].speaker SPEAKER_04
transcript.pyannote[2547].start 13476.87846875
transcript.pyannote[2547].end 13485.70409375
transcript.pyannote[2548].speaker SPEAKER_04
transcript.pyannote[2548].start 13487.59409375
transcript.pyannote[2548].end 13488.96096875
transcript.pyannote[2549].speaker SPEAKER_04
transcript.pyannote[2549].start 13491.79596875
transcript.pyannote[2549].end 13498.63034375
transcript.pyannote[2550].speaker SPEAKER_10
transcript.pyannote[2550].start 13500.23346875
transcript.pyannote[2550].end 13506.19034375
transcript.pyannote[2551].speaker SPEAKER_10
transcript.pyannote[2551].start 13507.52346875
transcript.pyannote[2551].end 13525.39409375
transcript.pyannote[2552].speaker SPEAKER_10
transcript.pyannote[2552].start 13526.10284375
transcript.pyannote[2552].end 13600.35284375
transcript.pyannote[2553].speaker SPEAKER_10
transcript.pyannote[2553].start 13600.90971875
transcript.pyannote[2553].end 13736.38221875
transcript.pyannote[2554].speaker SPEAKER_10
transcript.pyannote[2554].start 13737.56346875
transcript.pyannote[2554].end 13801.63784375
transcript.pyannote[2555].speaker SPEAKER_03
transcript.pyannote[2555].start 13801.75596875
transcript.pyannote[2555].end 13817.50034375
transcript.pyannote[2556].speaker SPEAKER_03
transcript.pyannote[2556].start 13818.05721875
transcript.pyannote[2556].end 13820.63909375
transcript.pyannote[2557].speaker SPEAKER_03
transcript.pyannote[2557].start 13823.28846875
transcript.pyannote[2557].end 13823.99721875
transcript.pyannote[2558].speaker SPEAKER_03
transcript.pyannote[2558].start 13824.75659375
transcript.pyannote[2558].end 13826.59596875
transcript.pyannote[2559].speaker SPEAKER_03
transcript.pyannote[2559].start 13828.16534375
transcript.pyannote[2559].end 13829.29596875
transcript.pyannote[2560].speaker SPEAKER_03
transcript.pyannote[2560].start 13830.40971875
transcript.pyannote[2560].end 13831.84409375
transcript.pyannote[2561].speaker SPEAKER_03
transcript.pyannote[2561].start 13832.56971875
transcript.pyannote[2561].end 13835.57346875
transcript.pyannote[2562].speaker SPEAKER_03
transcript.pyannote[2562].start 13835.70846875
transcript.pyannote[2562].end 13840.41659375
transcript.pyannote[2563].speaker SPEAKER_03
transcript.pyannote[2563].start 13842.28971875
transcript.pyannote[2563].end 13843.36971875
transcript.pyannote[2564].speaker SPEAKER_03
transcript.pyannote[2564].start 13844.53409375
transcript.pyannote[2564].end 13845.76596875
transcript.pyannote[2565].speaker SPEAKER_03
transcript.pyannote[2565].start 13846.15409375
transcript.pyannote[2565].end 13850.30534375
transcript.pyannote[2566].speaker SPEAKER_03
transcript.pyannote[2566].start 13852.04346875
transcript.pyannote[2566].end 13862.21909375
transcript.pyannote[2567].speaker SPEAKER_03
transcript.pyannote[2567].start 13863.09659375
transcript.pyannote[2567].end 13864.32846875
transcript.pyannote[2568].speaker SPEAKER_03
transcript.pyannote[2568].start 13864.75034375
transcript.pyannote[2568].end 13868.26034375
transcript.pyannote[2569].speaker SPEAKER_03
transcript.pyannote[2569].start 13868.49659375
transcript.pyannote[2569].end 13869.27284375
transcript.pyannote[2570].speaker SPEAKER_04
transcript.pyannote[2570].start 13873.62659375
transcript.pyannote[2570].end 13874.01471875
transcript.pyannote[2571].speaker SPEAKER_04
transcript.pyannote[2571].start 13874.57159375
transcript.pyannote[2571].end 13886.99159375
transcript.pyannote[2572].speaker SPEAKER_04
transcript.pyannote[2572].start 13887.85221875
transcript.pyannote[2572].end 13896.18846875
transcript.pyannote[2573].speaker SPEAKER_04
transcript.pyannote[2573].start 13896.49221875
transcript.pyannote[2573].end 13902.39846875
transcript.pyannote[2574].speaker SPEAKER_04
transcript.pyannote[2574].start 13904.00159375
transcript.pyannote[2574].end 13907.05596875
transcript.pyannote[2575].speaker SPEAKER_19
transcript.pyannote[2575].start 13913.97471875
transcript.pyannote[2575].end 13915.81409375
transcript.pyannote[2576].speaker SPEAKER_19
transcript.pyannote[2576].start 13916.01659375
transcript.pyannote[2576].end 13916.03346875
transcript.pyannote[2577].speaker SPEAKER_19
transcript.pyannote[2577].start 13917.83909375
transcript.pyannote[2577].end 13919.79659375
transcript.pyannote[2578].speaker SPEAKER_19
transcript.pyannote[2578].start 13919.94846875
transcript.pyannote[2578].end 13921.55159375
transcript.pyannote[2579].speaker SPEAKER_19
transcript.pyannote[2579].start 13922.69909375
transcript.pyannote[2579].end 13923.39096875
transcript.pyannote[2580].speaker SPEAKER_19
transcript.pyannote[2580].start 13925.19659375
transcript.pyannote[2580].end 13925.82096875
transcript.pyannote[2581].speaker SPEAKER_19
transcript.pyannote[2581].start 13927.20471875
transcript.pyannote[2581].end 13928.20034375
transcript.pyannote[2582].speaker SPEAKER_19
transcript.pyannote[2582].start 13928.58846875
transcript.pyannote[2582].end 13929.17909375
transcript.pyannote[2583].speaker SPEAKER_19
transcript.pyannote[2583].start 13930.20846875
transcript.pyannote[2583].end 13930.91721875
transcript.pyannote[2584].speaker SPEAKER_19
transcript.pyannote[2584].start 13931.74409375
transcript.pyannote[2584].end 13932.72284375
transcript.pyannote[2585].speaker SPEAKER_04
transcript.pyannote[2585].start 13931.81159375
transcript.pyannote[2585].end 13932.21659375
transcript.pyannote[2586].speaker SPEAKER_19
transcript.pyannote[2586].start 13932.92534375
transcript.pyannote[2586].end 13933.17846875
transcript.pyannote[2587].speaker SPEAKER_19
transcript.pyannote[2587].start 13933.58346875
transcript.pyannote[2587].end 13934.59596875
transcript.pyannote[2588].speaker SPEAKER_04
transcript.pyannote[2588].start 13934.71409375
transcript.pyannote[2588].end 13935.47346875
transcript.pyannote[2589].speaker SPEAKER_19
transcript.pyannote[2589].start 13936.77284375
transcript.pyannote[2589].end 13938.12284375
transcript.pyannote[2590].speaker SPEAKER_04
transcript.pyannote[2590].start 13938.46034375
transcript.pyannote[2590].end 13938.69659375
transcript.pyannote[2591].speaker SPEAKER_19
transcript.pyannote[2591].start 13938.69659375
transcript.pyannote[2591].end 13938.86534375
transcript.pyannote[2592].speaker SPEAKER_19
transcript.pyannote[2592].start 13944.02909375
transcript.pyannote[2592].end 13944.19784375
transcript.pyannote[2593].speaker SPEAKER_04
transcript.pyannote[2593].start 13946.49284375
transcript.pyannote[2593].end 13948.24784375
transcript.pyannote[2594].speaker SPEAKER_19
transcript.pyannote[2594].start 13948.63596875
transcript.pyannote[2594].end 13949.90159375
transcript.pyannote[2595].speaker SPEAKER_04
transcript.pyannote[2595].start 13948.85534375
transcript.pyannote[2595].end 13949.51346875
transcript.pyannote[2596].speaker SPEAKER_19
transcript.pyannote[2596].start 13950.10409375
transcript.pyannote[2596].end 13951.31909375
transcript.pyannote[2597].speaker SPEAKER_19
transcript.pyannote[2597].start 13951.69034375
transcript.pyannote[2597].end 13951.87596875
transcript.pyannote[2598].speaker SPEAKER_04
transcript.pyannote[2598].start 13953.42846875
transcript.pyannote[2598].end 13954.54221875
transcript.pyannote[2599].speaker SPEAKER_03
transcript.pyannote[2599].start 13964.70096875
transcript.pyannote[2599].end 13965.76409375
transcript.pyannote[2600].speaker SPEAKER_03
transcript.pyannote[2600].start 13966.87784375
transcript.pyannote[2600].end 13969.35846875
transcript.pyannote[2601].speaker SPEAKER_03
transcript.pyannote[2601].start 13970.40471875
transcript.pyannote[2601].end 13971.01221875
transcript.pyannote[2602].speaker SPEAKER_03
transcript.pyannote[2602].start 13973.76284375
transcript.pyannote[2602].end 13974.84284375
transcript.pyannote[2603].speaker SPEAKER_03
transcript.pyannote[2603].start 13977.91409375
transcript.pyannote[2603].end 13979.29784375
transcript.pyannote[2604].speaker SPEAKER_19
transcript.pyannote[2604].start 13979.46659375
transcript.pyannote[2604].end 13983.88784375
transcript.pyannote[2605].speaker SPEAKER_03
transcript.pyannote[2605].start 13982.45346875
transcript.pyannote[2605].end 13982.94284375
transcript.pyannote[2606].speaker SPEAKER_03
transcript.pyannote[2606].start 13983.60096875
transcript.pyannote[2606].end 13984.47846875
transcript.pyannote[2607].speaker SPEAKER_19
transcript.pyannote[2607].start 13984.47846875
transcript.pyannote[2607].end 13984.51221875
transcript.pyannote[2608].speaker SPEAKER_03
transcript.pyannote[2608].start 13985.50784375
transcript.pyannote[2608].end 13987.02659375
transcript.pyannote[2609].speaker SPEAKER_03
transcript.pyannote[2609].start 13987.44846875
transcript.pyannote[2609].end 13989.45659375
transcript.pyannote[2610].speaker SPEAKER_03
transcript.pyannote[2610].start 13990.84034375
transcript.pyannote[2610].end 13992.32534375
transcript.pyannote[2611].speaker SPEAKER_03
transcript.pyannote[2611].start 13992.93284375
transcript.pyannote[2611].end 13994.63721875
transcript.pyannote[2612].speaker SPEAKER_03
transcript.pyannote[2612].start 13994.89034375
transcript.pyannote[2612].end 13996.27409375
transcript.pyannote[2613].speaker SPEAKER_03
transcript.pyannote[2613].start 13996.57784375
transcript.pyannote[2613].end 13997.99534375
transcript.pyannote[2614].speaker SPEAKER_03
transcript.pyannote[2614].start 13998.48471875
transcript.pyannote[2614].end 14001.60659375
transcript.pyannote[2615].speaker SPEAKER_03
transcript.pyannote[2615].start 14003.32784375
transcript.pyannote[2615].end 14004.79596875
transcript.pyannote[2616].speaker SPEAKER_17
transcript.pyannote[2616].start 14004.05346875
transcript.pyannote[2616].end 14004.76221875
transcript.pyannote[2617].speaker SPEAKER_17
transcript.pyannote[2617].start 14004.79596875
transcript.pyannote[2617].end 14005.50471875
transcript.pyannote[2618].speaker SPEAKER_03
transcript.pyannote[2618].start 14005.43721875
transcript.pyannote[2618].end 14006.48346875
transcript.pyannote[2619].speaker SPEAKER_03
transcript.pyannote[2619].start 14006.88846875
transcript.pyannote[2619].end 14011.91721875
transcript.pyannote[2620].speaker SPEAKER_17
transcript.pyannote[2620].start 14011.95096875
transcript.pyannote[2620].end 14012.52471875
transcript.pyannote[2621].speaker SPEAKER_03
transcript.pyannote[2621].start 14012.69346875
transcript.pyannote[2621].end 14015.39346875
transcript.pyannote[2622].speaker SPEAKER_17
transcript.pyannote[2622].start 14016.69284375
transcript.pyannote[2622].end 14017.85721875
transcript.pyannote[2623].speaker SPEAKER_03
transcript.pyannote[2623].start 14017.85721875
transcript.pyannote[2623].end 14018.32971875
transcript.pyannote[2624].speaker SPEAKER_17
transcript.pyannote[2624].start 14017.90784375
transcript.pyannote[2624].end 14019.17346875
transcript.pyannote[2625].speaker SPEAKER_03
transcript.pyannote[2625].start 14019.17346875
transcript.pyannote[2625].end 14023.74659375
transcript.pyannote[2626].speaker SPEAKER_19
transcript.pyannote[2626].start 14023.74659375
transcript.pyannote[2626].end 14037.75284375
transcript.pyannote[2627].speaker SPEAKER_19
transcript.pyannote[2627].start 14038.47846875
transcript.pyannote[2627].end 14054.56034375
transcript.pyannote[2628].speaker SPEAKER_00
transcript.pyannote[2628].start 14054.13846875
transcript.pyannote[2628].end 14054.32409375
transcript.pyannote[2629].speaker SPEAKER_17
transcript.pyannote[2629].start 14054.32409375
transcript.pyannote[2629].end 14054.40846875
transcript.pyannote[2630].speaker SPEAKER_00
transcript.pyannote[2630].start 14054.40846875
transcript.pyannote[2630].end 14054.44221875
transcript.pyannote[2631].speaker SPEAKER_19
transcript.pyannote[2631].start 14054.88096875
transcript.pyannote[2631].end 14055.25221875
transcript.pyannote[2632].speaker SPEAKER_19
transcript.pyannote[2632].start 14055.72471875
transcript.pyannote[2632].end 14064.36471875
transcript.pyannote[2633].speaker SPEAKER_19
transcript.pyannote[2633].start 14064.82034375
transcript.pyannote[2633].end 14067.82409375
transcript.pyannote[2634].speaker SPEAKER_19
transcript.pyannote[2634].start 14068.16159375
transcript.pyannote[2634].end 14069.03909375
transcript.pyannote[2635].speaker SPEAKER_19
transcript.pyannote[2635].start 14069.05596875
transcript.pyannote[2635].end 14070.99659375
transcript.pyannote[2636].speaker SPEAKER_04
transcript.pyannote[2636].start 14072.92034375
transcript.pyannote[2636].end 14074.30409375
transcript.pyannote[2637].speaker SPEAKER_04
transcript.pyannote[2637].start 14074.74284375
transcript.pyannote[2637].end 14075.28284375
transcript.pyannote[2638].speaker SPEAKER_04
transcript.pyannote[2638].start 14075.80596875
transcript.pyannote[2638].end 14077.49346875
transcript.pyannote[2639].speaker SPEAKER_04
transcript.pyannote[2639].start 14078.16846875
transcript.pyannote[2639].end 14080.68284375
transcript.pyannote[2640].speaker SPEAKER_04
transcript.pyannote[2640].start 14081.29034375
transcript.pyannote[2640].end 14082.65721875
transcript.pyannote[2641].speaker SPEAKER_19
transcript.pyannote[2641].start 14083.38284375
transcript.pyannote[2641].end 14085.18846875
transcript.pyannote[2642].speaker SPEAKER_19
transcript.pyannote[2642].start 14085.49221875
transcript.pyannote[2642].end 14087.23034375
transcript.pyannote[2643].speaker SPEAKER_04
transcript.pyannote[2643].start 14096.00534375
transcript.pyannote[2643].end 14096.17409375
transcript.pyannote[2644].speaker SPEAKER_17
transcript.pyannote[2644].start 14098.48596875
transcript.pyannote[2644].end 14098.72221875
transcript.pyannote[2645].speaker SPEAKER_06
transcript.pyannote[2645].start 14098.72221875
transcript.pyannote[2645].end 14099.22846875
transcript.pyannote[2646].speaker SPEAKER_06
transcript.pyannote[2646].start 14099.81909375
transcript.pyannote[2646].end 14105.40471875
transcript.pyannote[2647].speaker SPEAKER_06
transcript.pyannote[2647].start 14108.34096875
transcript.pyannote[2647].end 14108.62784375
transcript.pyannote[2648].speaker SPEAKER_25
transcript.pyannote[2648].start 14110.97346875
transcript.pyannote[2648].end 14112.66096875
transcript.pyannote[2649].speaker SPEAKER_25
transcript.pyannote[2649].start 14113.20096875
transcript.pyannote[2649].end 14116.03596875
transcript.pyannote[2650].speaker SPEAKER_06
transcript.pyannote[2650].start 14116.03596875
transcript.pyannote[2650].end 14117.87534375
transcript.pyannote[2651].speaker SPEAKER_06
transcript.pyannote[2651].start 14119.49534375
transcript.pyannote[2651].end 14123.46096875
transcript.pyannote[2652].speaker SPEAKER_03
transcript.pyannote[2652].start 14123.46096875
transcript.pyannote[2652].end 14124.47346875
transcript.pyannote[2653].speaker SPEAKER_06
transcript.pyannote[2653].start 14124.47346875
transcript.pyannote[2653].end 14124.50721875
transcript.pyannote[2654].speaker SPEAKER_03
transcript.pyannote[2654].start 14124.50721875
transcript.pyannote[2654].end 14124.52409375
transcript.pyannote[2655].speaker SPEAKER_06
transcript.pyannote[2655].start 14124.52409375
transcript.pyannote[2655].end 14124.62534375
transcript.pyannote[2656].speaker SPEAKER_03
transcript.pyannote[2656].start 14124.62534375
transcript.pyannote[2656].end 14129.51909375
transcript.pyannote[2657].speaker SPEAKER_17
transcript.pyannote[2657].start 14130.19409375
transcript.pyannote[2657].end 14130.39659375
transcript.whisperx[0].start 1844.813
transcript.whisperx[0].end 1853.861
transcript.whisperx[0].text 好我們現在開始開會齁初期委員已處法定人數現在開會請議事人員先讀上次會議議事錄
transcript.whisperx[1].start 1859.625
transcript.whisperx[1].end 1883.246
transcript.whisperx[1].text 立法院第十一屆第二會期社會福利及衛生環境委員會第十七次全體委員會議議事錄時間一百一十四年一月二日星期四九時二分至十五時五分地點群憲樓八零一會議室出席委員陳委員昭之等十四人列席委員王委員洪威等十四人列席官員勞動部部長洪生翰衛生福利部部長邱太元等相關人員主席蘇兆吉委員清泉
transcript.whisperx[2].start 1883.866
transcript.whisperx[2].end 1893.877
transcript.whisperx[2].text 報告事項宣讀上次會議議事錄決定確定邀請勞動部衛生福利部教育部就推動友善職場校園性騷擾與霸凌防治及長照杯葛並檢視現行長照制度缺失與長照3.0規劃進行專題報告並備諮詢
transcript.whisperx[3].start 1900.905
transcript.whisperx[3].end 1918.013
transcript.whisperx[3].text 本次會議由勞動部部長及衛生福利部部長報告後委員陳昭芝等21人提出質詢軍警衛生福利部部長勞動部部長教育部學生事務及特殊教育司司長武林輝國立台灣大學主任秘書王大明及國立台灣大學醫學院副社醫院院長吳明賢
transcript.whisperx[4].start 1920.034
transcript.whisperx[4].end 1920.754
transcript.whisperx[4].text 請問委員會上次議事錄有錯誤或遺落之處
transcript.whisperx[5].start 1947.537
transcript.whisperx[5].end 1972.532
transcript.whisperx[5].text 沒有那我們議事錄確定本日會議的議程為繼續審查中華民國114年中央政府總預算案附屬單位預算官與衛生福利部主管預算現在我們介紹在場的委員跟官員第一個林業勤委員黃振熙委員
transcript.whisperx[6].start 1976.345
transcript.whisperx[6].end 2004.739
transcript.whisperx[6].text 那我們行政官員有衛福部邱太仁部長會計處張玉珍處長保護服務司司長張秀恩歡迎 歡迎長期照護司司長祝建芳謝謝醫事司司長劉彥平護理及健康照護司司長蔡淑鳳
transcript.whisperx[7].start 2007.749
transcript.whisperx[7].end 2027.185
transcript.whisperx[7].text 心理健康師代理師長鄭淑欣社會保險師代理師長陳真慧口腔健康師副師長嚴忠翰護署醫療及社會福利機構管理會執行長林慶豐國健署署長吳昭君
transcript.whisperx[8].start 2034.574
transcript.whisperx[8].end 2058.064
transcript.whisperx[8].text 疾管署署長莊仁祥好 謝謝食藥署署長莊生宏好 歡迎中央健康保險署署長施崇良歡迎 歡迎社家署代理署長周道軍好勞動部勞工保險局署長吳維揚好 歡迎
transcript.whisperx[9].start 2062.175
transcript.whisperx[9].end 2074.285
transcript.whisperx[9].text 勞動基金應用局專門委員吳英傑行政院主計處基金預算處科長劉雅飛本次會議討論事項於113年11月21日說明及行達完畢
transcript.whisperx[10].start 2089.082
transcript.whisperx[10].end 2112.359
transcript.whisperx[10].text 先做以下先告第一本次審查戶屬單位預算案以各基金為處理單位五委員提案部分預算照列第二本會召委會議協議與審查預算提案時保留於第二輪之提案提案委員不再現場者不再處理該項提案
transcript.whisperx[11].start 2115.953
transcript.whisperx[11].end 2139.568
transcript.whisperx[11].text 本次審查會有關提案委員所提預算刪減經委員會審查通過者除提案委員特別聲明不同意外均同意衛生福利部的科目自行調整第四有關提案委員預算凍結案部分衛生福利部與各提案委員溝通結果
transcript.whisperx[12].start 2140.248
transcript.whisperx[12].end 2153.563
transcript.whisperx[12].text 如提案委員同意併案凍結者請衛生福利部與本市附屬單位預算全部審查完盡前將各同意併案凍結者提案案號及科目彙整
transcript.whisperx[13].start 2154.838
transcript.whisperx[13].end 2176.105
transcript.whisperx[13].text 送主席台宣告後通過上市委員提案凍結之預算除特別聲明不同意者外文字均統一為須向立法院社會福利及衛生環境委員會提出書面報告均統一後使得凍結之預算
transcript.whisperx[14].start 2177.225
transcript.whisperx[14].end 2206.136
transcript.whisperx[14].text 本 在本會審查中 如有提案委員口頭同意改為主決議及原案為主決議修正部分文字通過者請衛生福利部盡速與提案委員溝通後將書面修正文字送至主席台然後我們現在就開始審查請議事人員先讀衛生福利部主管單位預算之科目金額委員提案
transcript.whisperx[15].start 2209.011
transcript.whisperx[15].end 2217.735
transcript.whisperx[15].text 114年度中央政府總預算案附屬單位預算衛生福利部主管非營業部分依作業基金醫療藥品基金業務計劃因依據業務收支轉投資固定資產建設改良擴充及資金運用等向之審查結果隨同調整業務總收入471億6814萬6000元
transcript.whisperx[16].start 2227.179
transcript.whisperx[16].end 2229.24
transcript.whisperx[16].text 業務總支出452億4374萬元本期剩餘19億2440萬6千元結繳供庫金額無劣數轉投資計劃無劣數固定資產建設改良擴充44億4276萬9千元國庫增撥基金額1億1467萬5千元
transcript.whisperx[17].start 2244.747
transcript.whisperx[17].end 2266.952
transcript.whisperx[17].text 二作業基金管制藥品製藥工廠作業基金業務計劃同醫療藥品基金業務總收入九億七千二百八十五萬八千元業務總支出七億二千二百七十三萬九千元本期剩餘二億五千零一十一萬九千元結繳供戶金額二億元轉投資計劃五列數固定資產建設改良擴充一億一千五百七十四萬三千元
transcript.whisperx[18].start 2267.712
transcript.whisperx[18].end 2273.277
transcript.whisperx[18].text 國庫增撥基金額無劣數3 作業基金全民健康保險基金業務計畫同醫療藥品基金業務總收入8711億0587萬6千元業務總支出同業務總收入本期剩餘0元
transcript.whisperx[19].start 2283.565
transcript.whisperx[19].end 2304.447
transcript.whisperx[19].text 截繳公庫金額無劣數轉投資計劃無劣數固定資產建設改良擴充三千二百四十萬二千元國庫增撥基金額無劣數四作業基金國民年金保險基金業務計劃同醫療藥品基金業務總收入一千三百一十七億七千四百五十四萬五千元業務總支出同業務總收入本期剩餘零元截繳公庫金額無劣數
transcript.whisperx[20].start 2305.988
transcript.whisperx[20].end 2308.37
transcript.whisperx[20].text 轉投資計劃無劣數固定資產建設改良擴充9707萬9千元國庫增撥基金額無劣數五特別收入基金衛生福利特別收入基金業務計劃應依據基金來源與用途審查結果隨同調整
transcript.whisperx[21].start 2321.218
transcript.whisperx[21].end 2326.743
transcript.whisperx[21].text 基金來源990億1078萬2千元基金用途1152億4664萬1千元本期短處162億3585萬9千元結繳公庫無劣數繼續宣讀委員提案一 醫療藥品基金一 委員邱振軍廖偉祥盧憲一提案業務收入醫療收入減列4億元二 委員蘇清泉等提案
transcript.whisperx[22].start 2344.479
transcript.whisperx[22].end 2358.573
transcript.whisperx[22].text 業務成本與費用門診醫療成本水電費減列六百萬元凍結十分之一三委員成交資等提案管理費用及總務費用旅運費國外旅費全數減列四委員抽薦軍料偽詳如先一提案用人費用凍結五百萬元
transcript.whisperx[23].start 2359.594
transcript.whisperx[23].end 2387.365
transcript.whisperx[23].text 五 委員邱振均、廖偉祥、盧憲一提案固定資產建設改良擴充凍結五百萬元六 委員邱振均、廖偉祥、盧憲一提案為主決議二 管制藥品製藥工廠作業基金第七至第十案為委員陳金輝、王育敏、陳昭志提案七 業務外收入凍結十分之一八 業務成本與費用銷貨成本凍結二十分之三九 業務費用凍結十分之一十 研究發展費用使用材料費研發用原物料凍結十分之三
transcript.whisperx[24].start 2387.825
transcript.whisperx[24].end 2416.334
transcript.whisperx[24].text 十一委員蘇清泉等提案為主決議三全民健康保險基金十二委員陳清輝等提案業務成本與費用保險成本呆帳凍結十分之一十三委員陳清輝等提案其他業務成本雜項業務成本旅運費凍結十分之一十四委員陳清輝等提案專業服務費凍結十分之一十五委員陳清輝等提案材料及用品費凍結十分之一十六委員陳清輝等提案為主決議十七委員蘇清泉等提案為主決議
transcript.whisperx[25].start 2417.414
transcript.whisperx[25].end 2426.642
transcript.whisperx[25].text 4.國民年金保險基金18.委員蘇清泉等提案業務成本與費用業務費用水電費減列10萬元凍結1%19.委員蘇清泉等提案媒體政策及業務宣導費凍結1%20.21案為主決議為委員陳金輝等提案5.衛生福利特別收入基金2223案為委員陳金輝王育敏陳昭芝提案
transcript.whisperx[26].start 2439.173
transcript.whisperx[26].end 2456.76
transcript.whisperx[26].text 二二全民健康保險紓困基金其他收入雜項收入增列三百萬元二三預防接種受害救濟基金徵收收入醫療衛生救濟提撥收入增列一千萬元二四委員陳金輝等提案食品安全保護基金違規罰款收入增列一千萬元
transcript.whisperx[27].start 2457.98
transcript.whisperx[27].end 2481.378
transcript.whisperx[27].text 25委員陳金威王玉敏陳昭資提案社會福利基金勞務收入增列五百萬元26委員蘇清泉等提案媒體政策及業務宣導費減列十分之一凍結十分之一27委員劉建國等提案醫療發展基金提升醫療資源不足地區醫療服務品質計畫減列二百萬元凍結五百萬元28委員王玉敏等提案柯木桐二十七案凍結一千萬元
transcript.whisperx[28].start 2483.223
transcript.whisperx[28].end 2511.832
transcript.whisperx[28].text 二九委員陳昭芝等提案健康照護績效提升計劃專業服務費凍結一百萬元三十委員王玉明等提案沿海防治及衛生保健基金向下計劃媒體政策及業務宣導費減列一千萬元凍結二千萬元三一委員蘇清泉等提案科目同三十案凍結十分之一三二至三十六案科目為沿海防治工作三十二委員劉建國等提案減列二百萬元凍結五百萬元三三委員蘇清泉等提案減列一百萬元
transcript.whisperx[29].start 2512.532
transcript.whisperx[29].end 2540.103
transcript.whisperx[29].text 三四委員蘇清泉等提案凍結十分之一三五委員蘇清泉盧憲一王玉敏提案凍結十分之一三六委員林月琴等提案凍結一百五十萬元三七委員陳瑩等提案補助地方煙害防治工作凍結二千萬元三八委員陳瑩等提案營造無煙支持環境辦理煙害教育宣導凍結一千萬元三九委員陳瑩等提案提供多元化戒煙服務凍結八千萬元四十委員陳昭志等提案
transcript.whisperx[30].start 2540.623
transcript.whisperx[30].end 2554.508
transcript.whisperx[30].text 戒菸服務品質與管理論表現計酬代謝症候群獎勵計劃凍結10萬元四億委員承迎等提案辦理菸害防治研究及監測凍結1000萬元四二委員黃秀芳等提案衛生保健工作簡略200萬元
transcript.whisperx[31].start 2556.368
transcript.whisperx[31].end 2584.22
transcript.whisperx[31].text 43委員陳昭芝等提案提升婦女健康及母子保健服務凍結200萬元44委員蘇清泉盧憲一王玉敏提案孕產婦及嬰幼兒健康促進與高風險健康管理凍結十分之一45委員陳金輝等提案柯木桐44案凍結十分之一46委員陳瑩等提案推動兒童青少年健康促進工作口腔保健計畫含特殊族群凍結4000萬元47委員蘇清泉盧憲一王玉敏提案
transcript.whisperx[32].start 2584.68
transcript.whisperx[32].end 2611.338
transcript.whisperx[32].text 口腔保健計畫凍結十分之一四八委員劉建國等提案推動中老年健康促進減劣二百萬元凍結二百萬元四九委員林月琴等提案衛生保健工作之發展及管考凍結五十萬元五十委員劉建國等提案推動營養與健康飲食工作減劣一百萬元凍結五百萬元五一委員陳瑩等提案柯文牧童五十案凍結一千萬元五二委員黃秀芳等提案健康飲食智能促進
transcript.whisperx[33].start 2611.938
transcript.whisperx[33].end 2637.244
transcript.whisperx[33].text 健康體位管理工作辦理相關教育訓練及營造健康飲食支持環境檢列50萬元53委員蘇清泉盧憲一王育敏提案癌症防治工作凍結十分之一54委員陳盈等提案科目同53案凍結2億5000萬元55委員邱振軍蘇清泉盧憲一提案科目同53案凍結100萬元56委員陳昭芝等提案推動主要癌症篩檢服務凍結200萬元
transcript.whisperx[34].start 2639.793
transcript.whisperx[34].end 2665.332
transcript.whisperx[34].text 五七委員陳盈等提案捐助補助與講助推動主要癌症篩檢服務婦女乳癌篩檢檢列八百萬元凍結二千萬元五八至六十案委委員陳金輝王玉敏陳昭資提案五八預防接種受害救濟基金預防接種受害救濟給付計劃凍結五百萬元五九一般行政管理計劃檢列二十萬元六十柯木桐五十九案凍結十分之一六億委員邱振軍蘇星璇盧憲一提案
transcript.whisperx[35].start 2666.693
transcript.whisperx[35].end 2685.647
transcript.whisperx[35].text 疫苗基金疫苗接種計劃凍結五百萬元六二委員陳金輝王育敏成招資提案疫苗接種計劃推展費凍結十分之一六三委員陳金輝王育敏成招資提案疫苗接種計劃材料及用品費用品消耗凍結十分之一六四委員邱振軍蘇清泉盧憲一提案
transcript.whisperx[36].start 2686.127
transcript.whisperx[36].end 2701.264
transcript.whisperx[36].text 疫苗接種計畫用品消耗COVID-19疫苗凍結一千萬元65委員陳金輝等提案食品安全保護基金食品安全保護計畫捐助補助與獎助凍結十分之一66委員陳金輝王育敏呈交資提案
transcript.whisperx[37].start 2701.724
transcript.whisperx[37].end 2716.836
transcript.whisperx[37].text 社會福利基金福利服務計劃凍結二十分之三六七委員陳盈等提案柯木同六十六案凍結二億元六八委員邱振軍廖偉祥蘇清泉提案柯木同六十六案凍結五百萬元六九委員陳金輝王玉敏陳昭芝提案
transcript.whisperx[38].start 2717.316
transcript.whisperx[38].end 2731.838
transcript.whisperx[38].text 公財回饋推展社福計劃凍結二十分之一七十委員邱振軍蘇清泉廖偉翔提案柯木同六十九案凍結五百萬元七億委員劉建國等提案公財回饋推展社福計劃推展費減列二百萬元凍結二百萬元
transcript.whisperx[39].start 2733.34
transcript.whisperx[39].end 2751.925
transcript.whisperx[39].text 七二委員陳金輝、王玉敏、陳昭芝提案家庭暴力及性侵害防治基金暴力防治三級預防計劃凍結十分之一七三委員陳昭芝等提案柯牧童七十二案凍結二百萬元七四委員蘇清泉等提案暴力防治三級預防計劃媒體政策及業務宣導費凍結十分之一
transcript.whisperx[40].start 2753.605
transcript.whisperx[40].end 2773.866
transcript.whisperx[40].text 七五委員王玉敏等提案長照服務發展基金媒體政策及業務宣導費減列一千萬元凍結一千萬元七六至八十案科目為完善長照服務輸送體系計畫七十六委員陳昭芝等提案凍結十分之一七七委員王玉敏等提案凍結二千萬元七八委員陳昭芝等提案凍結五百萬元
transcript.whisperx[41].start 2774.907
transcript.whisperx[41].end 2788.219
transcript.whisperx[41].text 79委員陳瑩武麗華等提案凍結500萬元80委員林月琴等提案凍結150萬元81委員陳昭芝王玉敏陳委員陳金輝王玉敏陳招資提案完善長照服務輸送體系計劃專業服務費凍結十分之一
transcript.whisperx[42].start 2792.332
transcript.whisperx[42].end 2819.461
transcript.whisperx[42].text 八二委員蘇清泉等提案完善長照服務輸送體系計劃媒體政策及業務宣導費凍結十分之一八三委員陳金輝王玉敏陳昭資提案柯木桐八十二案凍結十分之一八四委員陳金輝王玉敏陳昭資提案完善長照服務輸送體系計劃捐助補助與獎助凍結十分之一八五委員劉憲國等提案發展失職社區照護服務凍結五百萬元八六委員陳瑩等提案
transcript.whisperx[43].start 2820.141
transcript.whisperx[43].end 2844.971
transcript.whisperx[43].text 獎助居家市及社區市長照機構資源部件凍結五億元八七委員劉建國等提案強化長照機構服務管轄失能及連續性照護服務計劃凍結五百萬元八八至九四案為主決議八十八委員黃秀芳等提案八九至九十一案為委員陳金輝等提案九二委員林月琴等提案九三至九十四案為委員陳金輝等提案宣讀完畢
transcript.whisperx[44].start 2853.752
transcript.whisperx[44].end 2878.49
transcript.whisperx[44].text 好那我們現在就開始主案討論齁總共有94個案每案先行政單位說明接著請委員表示意見那我們在開始之前我跟大家報告齁今天是我們主祕郭東瑞主祕最後一天站起來馬上就要脫衣服了
transcript.whisperx[45].start 2880.89
transcript.whisperx[45].end 2880.91
transcript.whisperx[45].text
transcript.whisperx[46].start 2905.799
transcript.whisperx[46].end 2932.569
transcript.whisperx[46].text 第一案第一案跟主席委員報告那第一案邱正英委員這個部分他已經改組決議已經簽名了最主要是因為這邊的我們醫療這個服務的輔導這個部分是我們衛福部所屬醫院的人事費用所以跟他說明以後他也清楚所以原本的簡略跟凍結他就是願意改成組決議已經簽名
transcript.whisperx[47].start 2935.245
transcript.whisperx[47].end 2960.633
transcript.whisperx[47].text 所以第一案改組決議所以第二案蘇委員這邊也是跟蘇委員這個主席趙薇這邊也溝通過因為水電費其實會影響這個我們衛福部所屬醫院在偏鄉離島的這些費用所以經過跟委員說明以後原本簡略跟凍結那蘇趙薇也同意改組決議已經簽名以上好改組決議
transcript.whisperx[48].start 2961.613
transcript.whisperx[48].end 2976.278
transcript.whisperx[48].text 第三案陳昭芝 還沒到齁先給他保留全署檢列跟私人等他來啦 等他來 好不好第四案
transcript.whisperx[49].start 2978.438
transcript.whisperx[49].end 2994.622
transcript.whisperx[49].text 第四案也是邱正軍委員他對我們也是我們所屬醫院就是用人成本的費用因為是影響我們所屬醫院的用人費用所以原本從凍結五百萬經過說明溝通改組決議已經簽名以上
transcript.whisperx[50].start 2998.163
transcript.whisperx[50].end 3010.95
transcript.whisperx[50].text 好改組決議第五案第五案也是邱正勳委員那他針對我們的固定資產那是從這個我們的醫療醫院輔導費用裡面要凍結那會影響就是我們所屬醫院要購置設備儀器這個部分原本凍結500萬那經過溝通說明以後他改組決議已經簽名
transcript.whisperx[51].start 3022.233
transcript.whisperx[51].end 3048.333
transcript.whisperx[51].text 部長你很強,你的團隊很強來第六案第六案也是邱正軍委員,那就是我們已經跟他說明以後就是他願意修正文字已經簽名以上所以是主決議嘛好那來機關署的
transcript.whisperx[52].start 3049.639
transcript.whisperx[52].end 3066.475
transcript.whisperx[52].text 第七案第七案是陳靜薇謝謝陳委員那個跟委員溝通後同意改委員已經同意改組決議並修正文字委員已經簽名了所以該組決議第七案
transcript.whisperx[53].start 3076.314
transcript.whisperx[53].end 3100.8
transcript.whisperx[53].text 第八案 呃 謝謝陳委員 委員已經同意改那個三五十萬 那科目自行調整 委員已經簽名了好 第八案 三減五十萬科目自行調整 對好 第九案 呃 謝謝委員 那委員已經同意這個三減五十萬 那科目自行調整 那委員已經簽名了好
transcript.whisperx[54].start 3101.929
transcript.whisperx[54].end 3130.414
transcript.whisperx[54].text 同意三減五十萬科目自行調整第十案謝謝陳委員那個委員已經同意三案一百萬元科目自行調整那委員已經簽名了好三一百萬科目自行調整第十一案謝謝蘇昭偉委員已經因同意修正文字那改組決議已經簽名了好再來第三大項第十案
transcript.whisperx[55].start 3135.486
transcript.whisperx[55].end 3149.335
transcript.whisperx[55].text 十二案謝謝陳慶輝委員已經同意改組決議好改組決議十三案十三案謝謝陳慶輝委員已經同意改成組決議十中兩厲害
transcript.whisperx[56].start 3153.464
transcript.whisperx[56].end 3159.268
transcript.whisperx[56].text 第14案是陳昭之委員的第15案也是謝謝陳慶輝委員改成主決議16案陳慶輝委員的主決議遵照辦理17案是蘇昭偉的主決議修正文字後我們遵照辦理
transcript.whisperx[57].start 3183.235
transcript.whisperx[57].end 3185.697
transcript.whisperx[57].text 來第四項國民年金保險基金18
transcript.whisperx[58].start 3207.685
transcript.whisperx[58].end 3220.99
transcript.whisperx[58].text 18案是那個蘇委員的水電費19案是那個媒體的宣導費這兩案都被凍結十分之一你看要減六多少啦 自己講啦這樣比較快啦
transcript.whisperx[59].start 3224.915
transcript.whisperx[59].end 3228.817
transcript.whisperx[59].text 可不可以不要動減因為那個那個水電費減劣減劣減劣減劣減劣減劣減劣減劣減劣減劣減劣減劣減劣減劣
transcript.whisperx[60].start 3243.283
transcript.whisperx[60].end 3263.721
transcript.whisperx[60].text 在逐年成長中所以整個辦公時間很長所以以致電費用量在增加其實我們都一直在例行各種節約的措施那電用電量是有微幅的下漲但是整個還是不知這個電費的漲幅啦所以我們考量110年到112年用電情況跟調整的幅度其實我們只比
transcript.whisperx[61].start 3265.162
transcript.whisperx[61].end 3277.567
transcript.whisperx[61].text 113年後增加16萬2000元所以這部分是不是其實我們已經很很用心在做這一塊是不是可以請我們這邊免於凍結讓我們以主決議的方式就繼續要求我們落實各種這個用電節電的計劃
transcript.whisperx[62].start 3284.778
transcript.whisperx[62].end 3293.345
transcript.whisperx[62].text 委員我們是不是動10萬元因為我們只增加16萬我們只比去年增加16萬動我們10萬塊可不可以委員幫忙那個第18案檢列10萬塊啦不凍結啦好不好
transcript.whisperx[63].start 3302.641
transcript.whisperx[63].end 3305.164
transcript.whisperx[63].text 那我們可不可以減劣10萬然後科目執行調整
transcript.whisperx[64].start 3320.209
transcript.whisperx[64].end 3332.873
transcript.whisperx[64].text 檢列十萬啦客戶自己調整好不好那第十九項這個宣傳會這個一定要要有所交代所以直接檢列我不要再凍結了直接檢列檢列一千萬
transcript.whisperx[65].start 3338.855
transcript.whisperx[65].end 3360.468
transcript.whisperx[65].text 國民年輕的被保險人都是比較經濟弱勢他很需要一些資訊的傳達其實我們都很用心的製作各種宣傳這樣才可以維持我們的繳費率然後讓民眾能夠獲得老年經濟的保障這些問問請他相較於其他的被保險人更需要宣導更需要了解
transcript.whisperx[66].start 3365.146
transcript.whisperx[66].end 3387.408
transcript.whisperx[66].text 那個趙偉你應該也知道就是說有參加國民年金他就是沒有勞保沒有農保其他保險就全部加入這個國民年金嘛那國民年金通常我們在地方我碰到了這些民眾其實他有時候也不知道一間部也不知道說他沒留保了他是我們主動幫他加入到國民年金
transcript.whisperx[67].start 3387.948
transcript.whisperx[67].end 3407.087
transcript.whisperx[67].text 所以他也不會主動說要去繳費因為應災或者是經濟弱勢的話他也沒有錢去繳所以有時候就是也要透過媒體或者是這個郵寄的方式他才有辦法得知這樣的一個訊息啦所以如果你把它刪的話其實我覺得這樣會影響到整個國民年金的運作
transcript.whisperx[68].start 3411.802
transcript.whisperx[68].end 3419.011
transcript.whisperx[68].text 凍結100萬然後報告再支用這樣好不好委員凍50萬好不好真的啦委員請委員多多支持我們好凍結50萬好謝謝委員支持來20 20萬
transcript.whisperx[69].start 3432.609
transcript.whisperx[69].end 3452.097
transcript.whisperx[69].text 二十案呢也是國民年金的那個財務的精算報告的那個建議那謝謝那個陳金輝委員是我們主決議我們在一個月內提出那個方案跟對策這個是對這個文字然後那個委員也已經簽名二十案
transcript.whisperx[70].start 3453.567
transcript.whisperx[70].end 3480.394
transcript.whisperx[70].text 那21案呢也是陳清輝委員謝謝陳清輝委員委員也已經簽名了然後這個部分呢我們會再會照辦對會提出改善計劃好謝謝再來衛生福利特別收入基金22案22案陳清輝委員提案增列300萬的預算數我們修正文字後遵照辦理
transcript.whisperx[71].start 3486.011
transcript.whisperx[71].end 3509.16
transcript.whisperx[71].text 收入面收入面增加收入面所以OK嘛就是那個後面文字修正後我們就照列列300萬好那就照文字修正照列23案23案謝謝陳委員陳慶輝委員那委員已經簽名同意改組決議好改組決議
transcript.whisperx[72].start 3515.336
transcript.whisperx[72].end 3536.95
transcript.whisperx[72].text 24萬 謝謝陳委員我們已經改增加收入100萬 委員已經簽字了好 增列100萬 先簽名25萬陳金惠委員提案對於部署機構的勞務收入需要增加500萬元經過跟委員報告以後也謝謝委員已經同意簽名改增列勞務收入100萬好 就改增列100萬
transcript.whisperx[73].start 3543.648
transcript.whisperx[73].end 3544.089
transcript.whisperx[73].text 五百萬改成一百萬
transcript.whisperx[74].start 3547.028
transcript.whisperx[74].end 3573.375
transcript.whisperx[74].text 好,26萬26萬,現在趙偉跟趙偉溝通就是沒先費用啦,不過趙偉口頭說同意讓我們改為主協議但是趙偉還沒有簽名,是不是可以同意我們因為國民監事組你也知道所有的議員保健都必須要透過媒體先導希望能夠提升整體的篩檢率所以我們一定要去做相關的先導的作業,所以拜託趙偉能夠同意
transcript.whisperx[75].start 3576.737
transcript.whisperx[75].end 3598.163
transcript.whisperx[75].text 你那些宣傳的媒體都用那些很漏物的我們會嘗試各類的方式啦現在年輕人都以前都沒好人家沒在看年輕人都用那些新媒體啊對啊你可能要往那個方向去努力啊是是不是我現在生氣都要靠年輕人
transcript.whisperx[76].start 3600.925
transcript.whisperx[76].end 3603.611
transcript.whisperx[76].text 二十七案二十七案的話是劉建國委員說要現場處理
transcript.whisperx[77].start 3609.929
transcript.whisperx[77].end 3612.59
transcript.whisperx[77].text 這案我還是提醒一下衛福部主要是因為這邊是醫療發展基金你就是要平衡這個城鄉差距
transcript.whisperx[78].start 3637.608
transcript.whisperx[78].end 3662.731
transcript.whisperx[78].text 但是現在坦白講雲林跟嘉義在這個醫療資源上面其實是蠻弱勢的但是雲林跟嘉義老年人口又特別多特別嘉義縣所以在這個相關的醫療資源我之前在公務預算其實也有類似的提案這個請部長要特別去注意你現在所有的那個醫學中心的分布坦白講是蠻不均的
transcript.whisperx[79].start 3664.546
transcript.whisperx[79].end 3681.664
transcript.whisperx[79].text 高度集中在北部地區但是這種資源越弱勢的地方你反而沒有一個政策去獎勵或去肯定或去提升比如說讓它變成是準醫學中心那也是一種肯定因為它會變成是一個你如果有去提拔它的話它會變成一個正向循環
transcript.whisperx[80].start 3682.865
transcript.whisperx[80].end 3711.363
transcript.whisperx[80].text 資源越少的地方醫護越不願意在那邊他可能就越往這個比較都會地區跑那你這邊如果相對有一些獎勵型的你去認可在地長期經營而且經營的不錯你去肯定他那你會讓那些醫護人員覺得說在這邊其實也一樣可以作為生涯做一個長期服務那你的醫療資源你的人才其實才會就是繼續在這些比較弱勢的地方我是覺得你們政策上面
transcript.whisperx[81].start 3712.104
transcript.whisperx[81].end 3716.636
transcript.whisperx[81].text 這個可能整體應該要去做一些的調整好不好這個提案最重要的目的在這邊謝謝
transcript.whisperx[82].start 3721.673
transcript.whisperx[82].end 3748.289
transcript.whisperx[82].text 第29案陳昭志委員我們已經獲得委員簽名該出決議主席我可不可以利用這個時間跟你請求一下好不好因為我程序有一點不是那麼完整蔡教就是這樣這個醫療事故處理的部分最近也出現一個非常嚴重的問題也請部長這邊多了解看怎麼處理啦就是說我們也知道自從上一次2023年修刑事訴訟法以後
transcript.whisperx[83].start 3748.849
transcript.whisperx[83].end 3769.728
transcript.whisperx[83].text 目前在醫療依舊的鑑定的部分沒有人要出來鑑定所以到目前為止已經累積了322件的案子因為沒有依舊沒有人鑑定他們就沒有辦法開庭開庭他也沒有辦法再做審查這會嚴重影響到當事人家屬還有醫師各方面的權益
transcript.whisperx[84].start 3770.989
transcript.whisperx[84].end 3788.146
transcript.whisperx[84].text 所以本來是想說能不能利用今天的時間提一個主決議不過剛剛好像有點程序上認為不太適當如果主席願意的話當然是最好可以啊可以啊好不好所以這不可能那個鑑定一件是多少錢因為我有鑑定要簽名
transcript.whisperx[85].start 3789.741
transcript.whisperx[85].end 3795.544
transcript.whisperx[85].text 我可以發問嗎主席王振旭委員我想問一下您說的鑑定是經過這個協調庭之後的那個鑑定嗎
transcript.whisperx[86].start 3812.797
transcript.whisperx[86].end 3841.767
transcript.whisperx[86].text 依舊的部分現在是不是會先協調補充程序就是那個整個程序我先講一下第一件事情那個是要提告之後提告之後可能會有檢察官或者是法院那邊請求就是是說衛福部這邊來我們的醫生會來幫忙做依舊的鑑定然後那現在其實我們從去年一整年協助處理民事因為民事的
transcript.whisperx[87].start 3843.108
transcript.whisperx[87].end 3863.883
transcript.whisperx[87].text 訴訟規則沒有改變所以我們也做了民事的鑑定221案然後刑事鑑定重點剛剛我們部長有特別講是居民的問題因為居民的問題意見很小其實很容易會有人身安全的擔心然後主要是因為遊戲規則改了所以我們在這個地方上面沒有辦法去處理可是我們陸陸續續有跟那個
transcript.whisperx[88].start 3866.914
transcript.whisperx[88].end 3895.675
transcript.whisperx[88].text 司法院還有法務部這邊做一些溝通協調就是盡可能減少衝擊第一件事情是我們去年上路的抑鬱法是去年113年1月1號之後的才先走這個制度就受所謂的強制調解調解的這一塊然後這個是訴訟外紛爭解決機制然後他的效果成立就有如檢疫判決這個所以我們盡可能的推然後所以我們
transcript.whisperx[89].start 3897.016
transcript.whisperx[89].end 3921.567
transcript.whisperx[89].text 去年11月的時候有跟衛生局因為10月的時候跟法務部溝通法務部是說那113年之前的就是112年年底是不是可以也走同樣的制度然後11月的時候我們跟衛生局協調過其實就把案子送進來在當事人都同意的前提下面我們也盡量的減少案源然後另外一塊的話就會是說專家鑑定是
transcript.whisperx[90].start 3925.349
transcript.whisperx[90].end 3945.615
transcript.whisperx[90].text 鑑定制度有一個機關鑑定有一個是專家鑑定機關鑑定為府部協助法務部所以有我們一審會然後那專家鑑定這邊有沒有可能有一些突破所以我們目前兩個部跟司法院一起在處理這一段以上補充那可以請教一下市長現在你們這個調解成功率大概是幾成嗎44%
transcript.whisperx[91].start 3947.956
transcript.whisperx[91].end 3971.902
transcript.whisperx[91].text 四成多所以還是有六成會需要走到這個鑑定他可能會走鑑定可能不夠就是比例上面這個我們還在看就是後續的發展可是最起碼我們的重點就會是也謝謝委員這邊支持是我們這個制度需要再讓成功率提高還有一些相關的教育訓練跟宣導這邊需要做也謝謝委員支持
transcript.whisperx[92].start 3973.937
transcript.whisperx[92].end 3988.335
transcript.whisperx[92].text 所以這個部分我們會後來再後續處理主要就是針對目前已經成案需要這個依舊鑑定的部分真的沒有醫師剛剛部長有提到沒有人敢出來啦這個重點在這裡所以我們要設法來處理
transcript.whisperx[93].start 3990.638
transcript.whisperx[93].end 4010.778
transcript.whisperx[93].text 那其實最終我們有跟我們的那個明星政委法務政委有做過討論最終可能要走到修刑事訴訟法的這個可能會是total solution可是在這之前可能大家要討論的是相關的配套措施所以我們才會是說我們就一步一步第一件事情
transcript.whisperx[94].start 4011.338
transcript.whisperx[94].end 4025.25
transcript.whisperx[94].text 雙方同意的其實我就先進行到調解不要進行到訴訟所以它還是可以法務部這邊的檢察署跟法院這邊還是可以把案子就是移到我們的醫療糾紛調解這邊來做處理然後這樣的話也可以減少一些案源然後
transcript.whisperx[95].start 4031.455
transcript.whisperx[95].end 4056.4
transcript.whisperx[95].text 專家鑑定這一塊其實我們就大概跟專科的學會還有那個醫師公會全聯會一起討論看怎麼協助法務部把那個量再降下來因為刑事訴訟的量我們目前的話就是想辦法讓他的案件減少民事訴訟這部分因為完全沒有改變有息規則所以走的那個算是流程上面算是順的以上
transcript.whisperx[96].start 4057.423
transcript.whisperx[96].end 4070.213
transcript.whisperx[96].text 好,謝謝我們委員會說這個在深渣案件不能夠再拆,拆那就是壞了所以沒關係,這次提案很好啦他說在疫苗協調會上,那個時候算更有力量就像前輩那樣,是給他送這樣
transcript.whisperx[97].start 4084.369
transcript.whisperx[97].end 4086.15
transcript.whisperx[97].text 我覺得縣市衛生局的調節會效果很好像我們屏東縣幾乎八成都解決了
transcript.whisperx[98].start 4110.325
transcript.whisperx[98].end 4133.986
transcript.whisperx[98].text 那個效果很好,要是沒有...如果現場所有委員都同意的話,是不是可以針對這個案?可以嗎?可以嗎?可以嗎?對啊,如果所有委員都同意的話...我再想看看我再想一下
transcript.whisperx[99].start 4136.556
transcript.whisperx[99].end 4162.371
transcript.whisperx[99].text 所以你如果那個縣市衛生局那個地方讓他加強應該這個案子送到訴訟就少送到訴訟少給專家鑒定這專家鑒定真的壓力很大我不曉得那個部長你有審過我有審過齁寫一寫後來要簽名真的很沉重很沉重哈哈哈哈
transcript.whisperx[100].start 4166.747
transcript.whisperx[100].end 4189.384
transcript.whisperx[100].text 主要是現在新改的刑事訴訟法必須要自然人簽名對 然後所以這也是為什麼我們醫生對 以前機關只要寫對 然後機關代表就是部長你台大醫院的書都沒要簽啦 沒要看啦
transcript.whisperx[101].start 4193.942
transcript.whisperx[101].end 4219.198
transcript.whisperx[101].text 那個是兩塊一個是機關鑑定的也要自然人簽名一個是剛剛部長講的專家鑑定本來就是自然人對 然後民事鑑定民事訴訟因為沒有改所以還是可以用機關的名字去對 然後這一塊今天是這麼多錢 我要多少錢五千
transcript.whisperx[102].start 4224.036
transcript.whisperx[102].end 4243.005
transcript.whisperx[102].text 沒人要照顧你照顧李國康我們有調升價錢啦對啦對啦要寫一張要託很多錢的因為你今天沒人寫啊託到五百年還出庭那真的不可能的事情啊沒人要寫啊欸這要改觀欸這真的要改觀 先看嘛
transcript.whisperx[103].start 4257.148
transcript.whisperx[103].end 4280.895
transcript.whisperx[103].text 所以要加強縣市衛生局的那個調解會的功能對就是那個真的很重要源頭部分如果少一點然後現在是基案的部分的話所以才會是說你就也可以往我們的那個調解會這邊送然後大概也跟衛生局溝通過了所以盡可能的也是在協助減少那個檢查機關跟法院這邊的壓力
transcript.whisperx[104].start 4282.045
transcript.whisperx[104].end 4297.17
transcript.whisperx[104].text 沒有 你如果走到刑事訴訟那個大家都不樂見了大家都很辛苦啦好 那就29案寫成招書嘛有簽名有簽名了嘛對對對好 那30案王一鳴的
transcript.whisperx[105].start 4300.395
transcript.whisperx[105].end 4329.695
transcript.whisperx[105].text 那个三十案这边主要是有关于烟害防治的问题大家都知道这个112年我们烟害防治法已经明文禁止这个电子烟的部分但是你可以看到现在电子烟的管道还是非常的畅通而且它一卖可以这个几十万就这样子卖出去了这个数量也很庞大然后呢也没有立即遭到强制的下架跟开罚所以这个部分
transcript.whisperx[106].start 4330.275
transcript.whisperx[106].end 4358.924
transcript.whisperx[106].text 國建署在執行有關於取締這個電子煙的部分我覺得做得不好還有需要改善的必要所以這個部分這個年度國建署還編了一億四千多萬要來做相關的媒體宣導但是你的宣導顯然沒有讓這些電子煙就是更下降或者是讓我們這些未成年人更知道怎麼樣不要去接觸所以這個成效其實是
transcript.whisperx[107].start 4359.844
transcript.whisperx[107].end 4382.904
transcript.whisperx[107].text 不加的所以我這邊才會提出簡略跟凍結案那就希望說這一個國建署在這個部分要加強你整個真正落實你的淹害的仿制教育的宣導而且要去做檢討謝謝委員那委員所提的當然也許我們過去做的努力還不過但是我相信我們在
transcript.whisperx[108].start 4383.945
transcript.whisperx[108].end 4410.572
transcript.whisperx[108].text 今年這七年底的時候我們在行政院召開跨部會的一個聯合稽查那我們衛福部也成立了所謂的電子菸的稽查小組就是稽查平台來做跨部會的一個整合那因為四社的不只是我們公民監管署或者衛福部單獨一個單位那很多都是在我特別是在網路的部分那這些無線網路的部分又涉及到台灣在
transcript.whisperx[109].start 4411.652
transcript.whisperx[109].end 4439.355
transcript.whisperx[109].text 國內或者在境外的那有一些是搜索引擎的等等那我們逐步的已經去透過相關的管道還有跟溝通那必要的才華等手段那我相信大家也可以看得到目前像一些Meta比較大的像IG他們的數量已經大幅的減少那國內的一些B2B的商店的話那幾乎大概都已經下架都已經配合我們的政策
transcript.whisperx[110].start 4439.995
transcript.whisperx[110].end 4466.562
transcript.whisperx[110].text 那目前比較大的一個困難點是在那個搜索引擎像Google還有這個Yahoo的搜索部分那這三個部分的話我們也積極在處理所以我想宣導是對於我們國民交通署相關的提升民眾的意識那讓民眾不要去接觸讓他們知道相關的電子間的跟家電的危害等等那最重要的宣導一定要讓他們能夠落實那更重要的就是我們要透過稽查的手段
transcript.whisperx[111].start 4469.509
transcript.whisperx[111].end 4487.09
transcript.whisperx[111].text 所以還是委員這邊能夠能夠能夠同意我們改組決議或者是或者是改動少一點啦好不好動決一百萬動一百萬好不好動決一百萬好不好可以吧跟下面那個蘇委員那一位好不好你啦
transcript.whisperx[112].start 4489.164
transcript.whisperx[112].end 4492.068
transcript.whisperx[112].text 來 我來 我講一下我給主席一個來 31項31 第31條對 31項 謝謝這個委員這個我要表達一下齁好 謝謝 謝謝我抽菸是
transcript.whisperx[113].start 4505.083
transcript.whisperx[113].end 4524.5
transcript.whisperx[113].text 不好,不對那這一次的我們國建署要把那個添加27項都要把它刪掉嘛對不對,添加物的部分,那是預告那目前還在召開專家還沒有做最後的決定
transcript.whisperx[114].start 4525.134
transcript.whisperx[114].end 4546.452
transcript.whisperx[114].text 那這個我們台灣研究公司有一些都有當修的啦我想他們都應該要提出他們的困難點或者是他們必須添加的一些方式那其實我們跟所有的製造業者都有提出希望他們提供意見給我們在後續的這個專家會議來討論那到底要進哪幾項那經過專家會議討論以後我們才會決定好
transcript.whisperx[115].start 4554.838
transcript.whisperx[115].end 4558.962
transcript.whisperx[115].text 目前還在檢討當中,沒有做最後的定案這個要考慮一下劉委員說他會現場表達,但他原則同意我們改組決議原則同意改組決議
transcript.whisperx[116].start 4579.181
transcript.whisperx[116].end 4587.474
transcript.whisperx[116].text 動100好不好所以我們要加強嘛動100啦好不好
transcript.whisperx[117].start 4590.874
transcript.whisperx[117].end 4602.317
transcript.whisperx[117].text 好啦 那33案王毅民堅持 動200就200啦好啦好啦好啦 動200好啦好啦 動200那劉建國來要不要要不要齁先給他單一來單一來來33項31的部分就召回改組決議啦齁謝謝好3433的話 那個現在召回33現在召回齁 現在已經同意改組決議並修正文字簽名了 謝謝
transcript.whisperx[118].start 4618.757
transcript.whisperx[118].end 4624.839
transcript.whisperx[118].text 3434謝謝我們蘇昭偉同意改組決議修正文字簽名謝謝3535謝謝我們蘇昭偉 盧瀉立還有王一鳴委員那謝謝昭偉已經同意修改文字改組決議已經簽名3636謝謝我們連內前委員那已經同意改組決議修改文字已經簽名
transcript.whisperx[119].start 4646.202
transcript.whisperx[119].end 4650.657
transcript.whisperx[119].text 3737謝謝我們陳年委員那已經同意改為主決議修正文字也已經取得簽名
transcript.whisperx[120].start 4653.884
transcript.whisperx[120].end 4680.46
transcript.whisperx[120].text 38 38謝謝我們前任委員那已經同意修改為主決議 修正文字那已取得簽名39 39跟委員溝通 委員最後是減列200萬元減列了 減列200萬元已取得簽名 對39減列200萬減列200萬 40案40案謝謝我們前召諸委員那已經同意修改為主決議 而且已經簽名 謝謝
transcript.whisperx[121].start 4684.813
transcript.whisperx[121].end 4698.3
transcript.whisperx[121].text 41 41謝謝我們陳寧委員那已經同意修改為主決議修正文字那也取得簽名42 42黃修光委員謝謝黃修光委員已經同意簽名的改成凍結100萬年43案 43還在溝通當中謝謝我們這個陳委員
transcript.whisperx[122].start 4708.522
transcript.whisperx[122].end 4737.655
transcript.whisperx[122].text 要請你們說明一下喔謝謝因為我想我這三天來第一件就是希望我們母嬰能夠健康啦那所以呢我們從產檢的內容包括次數包括項目超音波也好這個GDM也好那像貧血也好都提供相關的檢查就希望能夠保障母嬰的一個友善跟安全那另外對於山地離島偏鄉一些高風險的族群這個部分
transcript.whisperx[123].start 4738.115
transcript.whisperx[123].end 4757.641
transcript.whisperx[123].text 那我們有一個做很急的高風險22縣市都在推動那我們大概從推動這5年來目前大概每年有113年為例大概我們大概已經接觸到9000多人那受案的大概有8000多人那對於他的不可能或者是生理上的一些弱勢也包括社會風險因素
transcript.whisperx[124].start 4759.862
transcript.whisperx[124].end 4783.619
transcript.whisperx[124].text 願意做事但是國務院告訴我們說你那個地區某些地區那個高風雨它的尤其像台東它的職業人數是專業人數是不足的婦產科醫師人不足婦理人員短缺那這個情況下你們怎麼樣來處理我想我們這個計畫是透過縣市那也跟各個公衛協會包括我們住產公衛退休的一些人或者在職業的都來參加我們這樣一個這個訪視那從華映到
transcript.whisperx[125].start 4788.783
transcript.whisperx[125].end 4811.439
transcript.whisperx[125].text 產後六個月我們都是他參與度偏低啊因為事實就是這樣啊所以怎麼改變就是說你要怎麼在面對這樣的因為我想這個量能到底多少我們會跟縣市來討論那我們一定讓這樣的需要服務的民眾能夠得到相關的服務我們盡量找到一個整個一個部落階的方式來做處理
transcript.whisperx[126].start 4814.166
transcript.whisperx[126].end 4830.375
transcript.whisperx[126].text 那我就想署長你就在書面報告蠻強調因為我在這個說明因為這個部分台東縣那個只有16個婦產科而且12個集中在台東市嘛台東市整個那麼大那其他人怎麼照顧對不對不能照顧已經沒有資源地區我們要特別照顧人力的問題我知道
transcript.whisperx[127].start 4831.896
transcript.whisperx[127].end 4847.082
transcript.whisperx[127].text 來去運用 說大家有責任去支援這個都國建署可以好好跟大家說明一下謝謝委員 那就麻煩委員那是不是免凍解改組決議好不好 那修正文字我們大概寫報告給委員 好好那我等你報告喔 謝謝喔事實上
transcript.whisperx[128].start 4852.13
transcript.whisperx[128].end 4876.467
transcript.whisperx[128].text 改組決議 44案謝謝我們蘇昭維那已經同意改為組決議修正文字那已經簽名 謝謝45案謝謝我們陳建威委員那已經同意改為組決議跟修正文字也已經簽名46案是口腔師那這個部分也謝謝陳映委員已經同意改組決議也已經簽名
transcript.whisperx[129].start 4880.372
transcript.whisperx[129].end 4895.762
transcript.whisperx[129].text 47案47案就是召委所提的有關這個關心12歲兒童的取恥的指數高於國際那之前有到這個委辦這邊溝通那委辦這邊已經有同意口頭同意要改組決只是召委還沒有幫我們簽名好
transcript.whisperx[130].start 4900.376
transcript.whisperx[130].end 4925.883
transcript.whisperx[130].text 可以48案 協調48案 劉委員還沒有到場事先保留49 先保留因為李委員等一下會再處理 再說明嘛對對對 所以先保留好 謝謝50案保留 51案謝謝我們陳立委員陳立委員已經同意修改為主決議並修正文字那已經取得簽名
transcript.whisperx[131].start 4927.133
transcript.whisperx[131].end 4952.222
transcript.whisperx[131].text 五十二案 五十二案謝謝我們黃秀安委員那已經簽名改為凍結一百萬元凍結一百萬五十三案 五十三案那謝謝我們蘇昭偉那已經同意改為主決議並修正文字那也謝謝昭偉已經簽名五十四案 五十四案謝謝我們陳年委員已經修改為主決議那修正文字那已經取得簽名
transcript.whisperx[132].start 4953.669
transcript.whisperx[132].end 4959.174
transcript.whisperx[132].text 55萬,55萬謝謝我們邱正天委員,那已經同意修改為組結議,那修正文字也請人簽名要不要講話沒有,我同意,就同意改組結議同意改組結議,沒有不要表沒有,下一個我再來,這個沒有
transcript.whisperx[133].start 4973.137
transcript.whisperx[133].end 4992.165
transcript.whisperx[133].text 同意了喔五十七案陳昭志委員謝謝我們陳昭志委員那跟委員溝通以後委員已經同意修改為主決議修正文字那已經取得簽名好五十七案五十七案謝謝我們陳寧委員那陳寧委員已經簽名檢列五百萬年
transcript.whisperx[134].start 4993.917
transcript.whisperx[134].end 5022.335
transcript.whisperx[134].text 檢列五百萬是好也取得簽名了五十八案呃謝謝陳金輝委員那委員已經簽名同意改動結一百萬元提交書面報告對呃書面報告我想補充一下因為這是許多人陳情啊在這個疫苗施打以後可能有一些附中等等那昨天有問副署長副署長說他們會請一些法律的專業人士來跟疫苗審查委員會的委員
transcript.whisperx[135].start 5023.315
transcript.whisperx[135].end 5036.966
transcript.whisperx[135].text 上課或是座談是希望可以把它稍微放寬因為是一個慰問的慰問的性質是了解那可以在這個報告裡面附上這個進度嗎可以可以謝謝謝謝署長
transcript.whisperx[136].start 5042.853
transcript.whisperx[136].end 5047.535
transcript.whisperx[136].text 來5959謝謝陳情惠委員那我也已經簽名那同意改簡列10萬元好簡列10萬60萬謝謝陳情惠委員那我也已經簽名同意改組決議好組決議
transcript.whisperx[137].start 5060.69
transcript.whisperx[137].end 5086.047
transcript.whisperx[137].text 61謝謝邱政卿委員委員已經簽名同意改組決議這個原則上同意啦那我還是希望我們署裡面對於這個帶狀皰疹的補助因為現在台灣現在四個縣市都有在做因為這個他的罹患的機率是32%所以我覺得這也是非常嚴重的所以如果可以的話請部裡面這邊再斟酌一下
transcript.whisperx[138].start 5089.209
transcript.whisperx[138].end 5099.237
transcript.whisperx[138].text 是好那61案就改組決議是62案謝謝陳慶輝委員我已經簽名同意改組決議好組決議63案謝謝陳慶輝委員我已經簽名同意改凍結100萬元提交書面報告凍結100萬
transcript.whisperx[139].start 5118.277
transcript.whisperx[139].end 5136.542
transcript.whisperx[139].text 六十四案謝謝邱政軍委員委員已經簽名同意改組決議你剛剛說炮子疫苗律師要求什麼不用錢六十歲以上六十五歲以上都不用錢要多少錢要花多少錢
transcript.whisperx[140].start 5138.132
transcript.whisperx[140].end 5147.271
transcript.whisperx[140].text 那個很貴啦他是65歲以上中低收入我們如果是中低收入的話可能要8億左右
transcript.whisperx[141].start 5149.468
transcript.whisperx[141].end 5177.391
transcript.whisperx[141].text 那打一劑還打兩劑啊目前其實今年開始只有兩劑的一劑不再進來了喔對所以那個大概要因為我打一劑的啊自己智慧的啊我以前我也有打過對對對呃三四千塊啦一...啊沒有沒有五千幾了應該大概五六千塊一劑的大概五六千塊一劑的那是有效果嗎蛤有效果嗎呃那個一劑的比較沒有效果
transcript.whisperx[142].start 5178.482
transcript.whisperx[142].end 5191.092
transcript.whisperx[142].text 因為他後來後來的那個第二兩劑的那個比較好保護力會比較長一劑都可以撐多久頂多十年啦十年那十年後再打這個兩劑的這樣能活到十年的話對好
transcript.whisperx[143].start 5206.532
transcript.whisperx[143].end 5224.939
transcript.whisperx[143].text 65歲全部都免費的話是不得了了我們只有算中低收入或低收入的話大概要8億左右好 65萬謝謝陳金威委員我們委員已經同意改組決議已經簽字了並修正文字好 組決議 66萬
transcript.whisperx[144].start 5231.513
transcript.whisperx[144].end 5234.857
transcript.whisperx[144].text 66萬陳靜惠委員的提案,也謝謝委員已經同意改組決議,謝謝
transcript.whisperx[145].start 5247.233
transcript.whisperx[145].end 5263.778
transcript.whisperx[145].text 好我們49萬黎業勤委員讓他表達來好在我第一次進來總職群的時候我就講說那個18對我們的死因回溯只做到6歲以下可是自殺死亡率事實上是
transcript.whisperx[146].start 5264.258
transcript.whisperx[146].end 5289.753
transcript.whisperx[146].text 高的還有我們的交通這一塊所以我們希望加上2022年本來第二次兒童兒權公約國際委員審查就說鑑於兒少的死亡率高死亡率是不是應該要單一的建立單一且健全的死因回溯的分析機制可是始終那一次在總諮詢的時候本來就有答應的可是怎麼到現在都還沒適合做因為已經又過了快將近
transcript.whisperx[147].start 5291.394
transcript.whisperx[147].end 5318.166
transcript.whisperx[147].text 大概八九個月了所以我們現在目前只針對六歲以下來實施然後沒有辦法全面推動尤其交通跟自殺事實上就是落入在少年這個階段所以加上目前各縣市的做法就沒有相關辦法跟實施要點就各縣市各自做各自的然後中央希望能夠去訂定要點還有標準化的作業程序所以這樣子才能讓有辦法讓
transcript.whisperx[148].start 5319.446
transcript.whisperx[148].end 5343.971
transcript.whisperx[148].text 各縣市政府做的做法才能夠一致而且本來所有的死亡只要知道原因就可以下降而且下降的效果事實上非常的好非常高我不知道就是說在掃紙花的當今為什麼不可以加快速度去做能夠去做這個回應否則的話去年就已經沒辦法升到我們
transcript.whisperx[149].start 5344.751
transcript.whisperx[149].end 5359.652
transcript.whisperx[149].text 跟前年一樣了那我們的死亡數又這麼高由於事故傷害1到14歲的高那個甚至15歲到24歲又是變成事實上是自殺的所以比較期待是要這樣做
transcript.whisperx[150].start 5362.008
transcript.whisperx[150].end 5381.259
transcript.whisperx[150].text 謝謝委員的關心 委員一直希望我們的CDR能夠提高到18歲因為現在兒少法其實提到的就是6歲以下目前來講其實6歲以下這些小孩子他沒有辦法自我表達所以有很多的死因是不清楚所以我們才會去做兒童死因回顧的一個後續的衝
transcript.whisperx[151].start 5383.38
transcript.whisperx[151].end 5411.315
transcript.whisperx[151].text 等於是事後以後再去推估的然後找出原因可以避免然後再有一些方法跟介入來做防護那六歲以上其實到十八歲那大部分就任委員所說的大部分都是交通事故那有一些就是自殺所以他原因就非常的清楚那我們有心理健康事的事到防治中心那也有交通部的主管的前者那未來如果要提到十八歲整體而言的話那我想在俄哨法修法的時候是會有一張
transcript.whisperx[152].start 5411.975
transcript.whisperx[152].end 5425.595
transcript.whisperx[152].text 我覺得等修法沒有法源因為地方政委都反對很多東西政策也不見得一定有法源可是你今天你是國建署鎮於我們兒少的身心健康不應該去做這樣的一個考慮嗎
transcript.whisperx[153].start 5427.297
transcript.whisperx[153].end 5452.812
transcript.whisperx[153].text 因為今天我們就孩子已經生的夠少了然後又不去做積極的作為那也不是說全部都要做只有交通跟自殺這兩塊對看起來原因很明確可是很大廈交通那到底是機車汽車還是站在前面還是坐後邊還是什麼樣狀態那一樣的自殺是什麼原因是感情家庭因素還是什麼都可以透過死因回溯那尤其是像英國他們做的
transcript.whisperx[154].start 5453.712
transcript.whisperx[154].end 5471.619
transcript.whisperx[154].text 本來在三千多的死亡案例裡面可以下降到兩千七三千五到兩千七那降幅事實上非常的高所以就期待你們要能夠去做我們在跟內政部還有這個心理健康是一起來討論看如何我們社交一起討論
transcript.whisperx[155].start 5474.151
transcript.whisperx[155].end 5502.97
transcript.whisperx[155].text 是不是動得太少 所以以致你們覺得沒有什麼特別不是啊 我現在就期待是說真的事實上是他能夠改變這個還要地方來量能的執行 那目前大家地方都反正 我們也開過委員的建議我們也找地方來開過會請你們交報告就先 維持原因就動50萬好 謝謝委員委員同意我們修改那個科目嘛 把那個衛生保健工的管考畫的那個刪掉改成動在上面會像毛毛大象一點好
transcript.whisperx[156].start 5504.25
transcript.whisperx[156].end 5528.677
transcript.whisperx[156].text 就維持原來的維持原來的提案謝謝所以是動50萬簽名署長我請教這時候在講那個什麼青少年變性那個人家說很不合理,整個很不合理,到底是在說什麼我不是非常清楚,這個劉委員,劉市長比較清楚劉市長講清楚一下劉市長比較清楚
transcript.whisperx[157].start 5532.467
transcript.whisperx[157].end 5548.707
transcript.whisperx[157].text 我要講的是說這是第一件事情是107年的時候針對雙性人雙性人那雙性人這邊的話其實舊兒科的病人其實他如果有一些存在身體很久他搞不好會有那個會有cancer的一個
transcript.whisperx[158].start 5549.387
transcript.whisperx[158].end 5576.922
transcript.whisperx[158].text 所以是针对双性人而不是针对未成年的这一块因为成年之后他青春期的荷尔蒙变化很可能会造成那个存在身体的那个生殖组织可能会有癌变的这个情形所以107年的时候讨论是针对双性人的手术所以才会用年龄来做一些区分有一些建议可是这很重要的还是必须要需要decision making之后才能够做
transcript.whisperx[159].start 5577.802
transcript.whisperx[159].end 5598.941
transcript.whisperx[159].text 临床有需要然后家属跟病人其实也都知道所以才会在那个有不同年龄层的一个分别要去做处理这是那时候是针对双性的更不不是说所谓的全面的未成年人的这一块这是第一件事然后那随着就是我们大家观念的进步包括同婚都开放了所以
transcript.whisperx[160].start 5599.381
transcript.whisperx[160].end 5625.456
transcript.whisperx[160].text 在那個監察院也好然後性別委員也好就是說那多元的接納的這件事情我們是不是應該要醫護人員這一塊應該要有一些遵循對LGBTQ這一段所以我們才會在去年年底的時候經過一年的研議我們其實兩年前有先出一個漫畫先讓大家知道就是讓PGY知道是說有這樣子的一個
transcript.whisperx[161].start 5626.457
transcript.whisperx[161].end 5642.886
transcript.whisperx[161].text 存在然後我們怎麼樣來做一個相關的一個照顧其實老師講就是一個全人照顧以人為中心的一個醫療服務然後那好過一年之後那個文化出來了大家好像接受度也還OK所以就裡面的
transcript.whisperx[162].start 5643.746
transcript.whisperx[162].end 5663.965
transcript.whisperx[162].text 部分我們就委請那個泌尿科醫師北榮的黃主任這邊是說來統籌然後才產出了這個指引其實這個指引從頭到尾就是在做整體的照顧要去注意什麼事情然後那一定會把107年我們講的未成年雙性能的這一段寫進去所以整個邏輯是這樣以上簡短補充
transcript.whisperx[163].start 5666.827
transcript.whisperx[163].end 5691.378
transcript.whisperx[163].text 不好意思我想發問一下你的新的指引你並沒有明確的講到是只有雙性人可以接受評估還有手術你的意思是說假使他有一些認同的障礙以至於精神方面等等然後你說要多方醫療團隊但是好像也沒有寫到這些醫療團隊比如說某一個層級以上的
transcript.whisperx[164].start 5691.818
transcript.whisperx[164].end 5709.325
transcript.whisperx[164].text 然後有哪幾個哪幾個科別共同去做share decision那個指引裡面其實是還是針對一般醫護人員如果碰到的時候要特別注意的事情這個大家都知道因為友善門診已經推動非常多年了
transcript.whisperx[165].start 5709.765
transcript.whisperx[165].end 5725.464
transcript.whisperx[165].text 因此我們本來就都有去落實友善門診現在這個很多人打電話進來是在問這個性別確認手術是不是你們的意思就是開放讓12到18歲因為你的意思沒有我們沒有開放
transcript.whisperx[166].start 5728.826
transcript.whisperx[166].end 5750.187
transcript.whisperx[166].text 對媒體下標下錯了我覺得你上面寫說什麼多個醫療團隊去做諮商然後確認等等啊就那個其實就是把我們之前的友善性別門診這一塊去做一個落實讓一般的大概都知道我講的是一般的醫護人員因為還是會轉接到這個特別的門診來做處理嗎
transcript.whisperx[167].start 5751.869
transcript.whisperx[167].end 5778.382
transcript.whisperx[167].text 然後可是如果我們一般醫護人員都不清楚的時候然後那其實對於就是說只有專門的人才知道這樣子其實還是會造成落差對這些族群如果要尋求就醫的時候其實還是一個障礙可是我覺得那指引好像寫得不太清楚不然你就寫說只能用藥物只能用荷爾蒙只能就是非侵入性的方式等等對啊不行
transcript.whisperx[168].start 5783.242
transcript.whisperx[168].end 5792.227
transcript.whisperx[168].text 媒體所有的標題都變成是就是那個衛福部去年12月公佈LGBT民眾醫療照護參考執意其中
transcript.whisperx[169].start 5795.43
transcript.whisperx[169].end 5810.232
transcript.whisperx[169].text 進一步開放未成年的12至18歲兒少有適應困難者經專業團隊評估後可進行變性手術所以其實媒體的標都是把你這個指引特別抓出來說未成年人經評估後
transcript.whisperx[170].start 5811.153
transcript.whisperx[170].end 5825.299
transcript.whisperx[170].text 可以進行變性手術其實是這個才會導致就是很多人的疑惑出來到底可以或不可以媒體是說可以啊按照你的指引就是未成年人可進行變性手術未成年的雙性人
transcript.whisperx[171].start 5826.533
transcript.whisperx[171].end 5847.203
transcript.whisperx[171].text 我們要特別講是媒體下標對這部分我們會覺得是說也謝謝委員跟我們這個機會今天在這邊來做一個澄清所以只有未成年的雙性那如果是未成年的LGBTQ group可以做藥物嗎基本上面就需要專業評估
transcript.whisperx[172].start 5849.44
transcript.whisperx[172].end 5873.389
transcript.whisperx[172].text 我覺得你們的指引好像要把它寫得更清楚才行指引基本上面是第一步啦然後有一些更多的一些專業的這邊我覺得我們其實是可以再跟專家這邊再做一些談判我想這個我們有在媒體上說明這個改變其實是完全遵照專家的一個建議符合國際潮流讓我們台灣的醫護人員
transcript.whisperx[173].start 5875.902
transcript.whisperx[173].end 5878.601
transcript.whisperx[173].text 多了解到必須要做這種友善的一個
transcript.whisperx[174].start 5879.927
transcript.whisperx[174].end 5905.568
transcript.whisperx[174].text 對待這樣子啦,這是第一個精神啦,我覺得這個一定要先強調第二個就是說,如果那些指引齁,不要用我們醫學聽,民眾聽不懂什麼可能我們去把他再處理一下,要講清楚要把擔心的,民之所欲、民之所擔心的,就是我們要去做的嘛就是把那個
transcript.whisperx[175].start 5906.969
transcript.whisperx[175].end 5922.036
transcript.whisperx[175].text 我們不可以就不可以,我們要如何政府如何嚴格沒有做好方向下標的是我們自己留文字給人家下標所以這個部分我們回去趕快再宣布市長你剛才說了解說了,待會看聽有的看幾個我講過了你剛才說了王一鳴有的也聽不到
transcript.whisperx[176].start 5930.029
transcript.whisperx[176].end 5930.69
transcript.whisperx[176].text 你剛才說他也聽不懂我聽有但是跟你圍的流程圖就不一樣
transcript.whisperx[177].start 5937.639
transcript.whisperx[177].end 5943.401
transcript.whisperx[177].text 我們現在辦公室都接到這個無厘頭的電話你有一個Q&A或是簡單的讓我們的助理可以回答不可能我接到的都電話所以讓他們可以簡單的回答香港、澳洲變性的43%是反悔
transcript.whisperx[178].start 5963.625
transcript.whisperx[178].end 5966.909
transcript.whisperx[178].text 到20歲、23歲就反悔我看報道也錯過了所以要講很簡單簡而易懂啦不然你講幾句我也不聽好
transcript.whisperx[179].start 5976.557
transcript.whisperx[179].end 5990.875
transcript.whisperx[179].text 我們來處理實際上我是這樣建議啦未成年大家一定都基於保護的心態不建議手術但是您講的是合理因為他有致癌的風險你應該把這一類的人特別標出來對因為他
transcript.whisperx[180].start 5993.518
transcript.whisperx[180].end 6014.134
transcript.whisperx[180].text 對就同時擁有雙性的器官等等因為有自來風險所以他必須接受手術那另外如果是性別認同的問題你應該另外寫你說他們到底可不可以藥物好多方評估多方評估也要某一個層級以上的某幾顆多方評估可以使用藥物來給他們
transcript.whisperx[181].start 6017.436
transcript.whisperx[181].end 6033.702
transcript.whisperx[181].text 這樣才對吧然後要明確寫說禁止非雙性人做性別確認手術謝謝大家的指教因為我們再重申一次其實老師講並不是開放未成年的
transcript.whisperx[182].start 6034.182
transcript.whisperx[182].end 6056.781
transcript.whisperx[182].text 我覺得這一段謝謝委員給我們時間然後那對於是說文字這邊不清楚的地方我們會再找團隊這邊一起來想一下因為那時候在出這個指引的時候我們針對的是一般的醫護人員然後沒有想到是說一般民眾在看這個的時候會造成誤解 以上 謝謝好 越簡單越好你現在這麼專業沒人看得到好 67案
transcript.whisperx[183].start 6062.957
transcript.whisperx[183].end 6080.875
transcript.whisperx[183].text 六十七案陳英委員提案也謝謝陳英委員已經同意並簽名改為主決議六十八案六十八案邱振均委員提案謝謝委員已經同意改為主決議六十九案六十九案也謝謝陳金輝委員已經同意改為主決議並且已經簽名
transcript.whisperx[184].start 6082.31
transcript.whisperx[184].end 6090.541
transcript.whisperx[184].text 六九改組決議七十案七十案 邱正清委員提案謝謝邱委員已經同意並改為簽名並改為組決議七十一案
transcript.whisperx[185].start 6101.608
transcript.whisperx[185].end 6129.751
transcript.whisperx[185].text 所以我們跟委員報告一下那個委員對於提案的委員提案內容是希望我們對於整個有關業務宣導費的部分能夠做更清楚的說明而且能夠尊嚴政府的預算那我們在這個在這個這個向下我們編列的其實是包括了比較幾乎是總體社會福利相關的一些宣導跟包括宣導跟那個宣導的媒材的製作的費用
transcript.whisperx[186].start 6130.311
transcript.whisperx[186].end 6150.287
transcript.whisperx[186].text 那有社會救助法要擴大照顧對象的那包括親民暴力防治、性暴力防治等等以及對於高齡的友善、高齡友善以及高齡自主相關的一些宣導教材那還有就是有關在於社福中心辦理收出養兒少監護、成年監護等等
transcript.whisperx[187].start 6152.749
transcript.whisperx[187].end 6171.39
transcript.whisperx[187].text 這些媒材的製作以及CRPD的意識的CRPD的意識而造權力意識的推廣等等它是一個比較全面的我們大概集中的都把它編列在一起那這個部分的話也跟我們報告一下這個大概都是對於民眾的一些權力意識
transcript.whisperx[188].start 6172.171
transcript.whisperx[188].end 6192.607
transcript.whisperx[188].text 一些一些基本的宣導那也希望委員可以能夠可以支持我們是不是能夠不要再做不需要做刪減能夠讓我們能夠可以用組決議的方式那我們來提相關的宣導的內容做一個更進一步的書院報告來跟委員來做說明謝謝
transcript.whisperx[189].start 6197.467
transcript.whisperx[189].end 6219.931
transcript.whisperx[189].text 我這個理由寫得很清楚嘛齁你這樣說我還是不太清楚因為你們原本是媒體的政策及業務的宣導會嘛是你們把它刪掉然後去增加推展會是從三年度的530嘛齁是不是增加到219增加到2900萬對啊嘿嘿
transcript.whisperx[190].start 6225.869
transcript.whisperx[190].end 6251.861
transcript.whisperx[190].text 那怎麼會這麼變增加的部分那跟委員報告其實有一部分是也是搭配的像CRPD那個生權公約的部分那因為有搭配到這今年和明年開始要進入國家報告的製作以及國際委員的審查的部分所以確實像在生權公約的部分以及針對那個未成年懷孕收出養的部分那因為
transcript.whisperx[191].start 6252.721
transcript.whisperx[191].end 6272.351
transcript.whisperx[191].text 在這個部分有一個比較大的制度改變所以這個部分確實是他在編列費用上有比去年度有提高一些那其他的話其實是把以往有一些宣導的項目去整合起來合併在一起該提高就要提高這個我不會去有意見的不過你把它全部都混在一塊這樣好嗎
transcript.whisperx[192].start 6275.615
transcript.whisperx[192].end 6293.464
transcript.whisperx[192].text 我們還是有把這個細目有準備出一份比較細的一些資料那是不是可以容我們把這一個比較詳細的資料提供給委員這邊來做進一步的說明好 主席我這案就先保留好不好先保留 剛把那個提供給我好 謝謝
transcript.whisperx[193].start 6294.504
transcript.whisperx[193].end 6309.474
transcript.whisperx[193].text 好71案先保留再跟劉友園溝通72案好72案謝謝陳清輝委員同意並73案改動50萬元也取得委員的同意所以我這邊想發問一下
transcript.whisperx[194].start 6310.074
transcript.whisperx[194].end 6331.999
transcript.whisperx[194].text 因為我看了一下去年我們在這邊質詢問過的問題他說去年8月有一位性影像處理中心的主任劉主任他說每天大概有二三十件案件通報就是至少會有二三十位被害人發現自己的影像外流然後呢每一位再會給差不多五六十個
transcript.whisperx[195].start 6333.7
transcript.whisperx[195].end 6344.791
transcript.whisperx[195].text 傳遞的這個網址啊所以這個量是蠻龐大的因此會覺得這類的受害者其實越來越多但為什麼我們在預算書裡面是看到編列的預算是縮編的狀況
transcript.whisperx[196].start 6347.754
transcript.whisperx[196].end 6371.786
transcript.whisperx[196].text 是謝謝委員因為113年去年我們有一個系統就是處理這個案件從申訴到整個處理這個系統的一個建立所以那個費用將近800萬左右所以我們把那個系統只要建立一次就可以所以這個系統建立好對是好謝謝是那我就依照剛說的併到73案
transcript.whisperx[197].start 6376.687
transcript.whisperx[197].end 6395.115
transcript.whisperx[197].text 那73案陳昭志委員也是動50萬那謝謝陳委員非常關心老人受暴的議題那在部裡頭也很重視所以我們跟長照還有社福整個體系有串聯所以這個部分謝謝委員同意我們凍結50萬也謝謝委員同意簽名73案我們沒有還沒有簽嗎沒有73案我們還沒有簽73案
transcript.whisperx[198].start 6410.198
transcript.whisperx[198].end 6423.943
transcript.whisperx[198].text 現在就是說老人那個施暴的部分這個一直在增加嘛而且大部分就是家人嘛那在國外的那個統計就是家庭照顧的真的很辛苦他們大概65有憂鬱症的傾向大概20有憂鬱症嘛89%有慢性這個精神病嘛
transcript.whisperx[199].start 6429.065
transcript.whisperx[199].end 6451.633
transcript.whisperx[199].text 所以這個照顧者他們就是來到往往就基於愛會很疲憊了所以許多人在事發之後也很後悔那這個部分我也有質詢但是我質詢的時候好像貴屬都無感所以我希望你們能夠有一些比較積極介入的措施啦因為高齡化這個現象只會增加嘛長照的悲劇只會增加嘛而且來自親人也是很痛的事情嘛
transcript.whisperx[200].start 6452.273
transcript.whisperx[200].end 6473.578
transcript.whisperx[200].text 做了很後悔但是當下他又沒有辦法承受啊我不知道社家屬你們要怎麼積極來做這件事情啊是我們目前把這個高負荷照顧的這個指標很清楚的給第一線包括長照人員的居服還有我們的縣市的社福中心的社工以及醫院裡頭要出去出院
transcript.whisperx[201].start 6474.278
transcript.whisperx[201].end 6477.101
transcript.whisperx[201].text 前的一些準備都有這個高負荷照顧的一個指標他們可以用那個指標來做轉介所以我們現在跟長照以及社福還有醫院的部分整個串起來所以提高這個敏感度也就是高其實官方大部分在講方法
transcript.whisperx[202].start 6490.834
transcript.whisperx[202].end 6519.022
transcript.whisperx[202].text 其實我們主動包括劉委員剛剛他強調的很多東西你要去推動但是你推廣業務你的結果是什麼效果是什麼多少人點閱多少人了解那我要的也是這個部分你再告訴我說你方法要怎麼做那我不知道你方法有效沒效他每年數字就在提高啊所以我在職業就是告訴你看你的數字就一直提高你很努力做但是沒有效果沒有效不是但是你就要想辦法去做更好看怎麼改變嘛這人做事情就是這樣做所以這個部分我並沒有
transcript.whisperx[203].start 6519.742
transcript.whisperx[203].end 6533.088
transcript.whisperx[203].text 達成決議啊我本來是還是凍結希望你們提出書面報告後凍五十萬是凍五十萬嗎是改凍五十萬是我這邊寫兩百萬勒你都中背影勒有有改凍五十萬是那你你多久勒兩個月內
transcript.whisperx[204].start 6542.27
transcript.whisperx[204].end 6542.53
transcript.whisperx[204].text 出面報告兩個月內
transcript.whisperx[205].start 6572.95
transcript.whisperx[205].end 6595.1
transcript.whisperx[205].text 所以是不是每件事大家都說衛福部嘛邱部長衛福部從生到死從早到晚都你管的我們現在每件事都是你最大衛福部管太多很多嘛所以人民沒有衛福部整個秩序會大亂所以我們是希望說你們做的東西不要再續映故事不是說我有提這個計劃案我們要知道那個結果
transcript.whisperx[206].start 6596.773
transcript.whisperx[206].end 6617.174
transcript.whisperx[206].text 結果不好你就要改變啊是沒有問題而且我們每三個月都會做一次檢討我們沒有看到啊我諮詢後都沒有看到那我會把這個整個資料做一個整理再提供給委員提供也未還文會來做做五十萬到兩百萬差很大耶是你說我不知道說要五十萬耶現在你在說耶
transcript.whisperx[207].start 6619.347
transcript.whisperx[207].end 6623.111
transcript.whisperx[207].text 我們主題的不太一樣各自動50但是請你兩個月內要把這個報告裡面有包括成效
transcript.whisperx[208].start 6637.901
transcript.whisperx[208].end 6658.759
transcript.whisperx[208].text 成效的部分,所以你預估的成效,將來我們可以繼續比對啊你一定要研究計畫,你們發給別人研究計畫,也是這樣要求的啊都是這樣要求的,好嗎?好,署長,就麻煩你了謝謝,謝謝好,那陳委員,你意見嗎?七十二,七十二要動一百五十,五十,好這五十不合併啦
transcript.whisperx[209].start 6660.06
transcript.whisperx[209].end 6678.635
transcript.whisperx[209].text 不合併好 72案動50 73案動50好 7474是昭緯提的案件那我們遵照辦理就動十分之一但是我們在計畫名稱要修正建議修正為暴力防治三級預防計畫好 謝謝75案這個我有意見什麼昭緯動了你們就遵照辦理
transcript.whisperx[210].start 6687.342
transcript.whisperx[210].end 6689.965
transcript.whisperx[210].text 我們動人你們就照著這麼一堆人來跟我們討論等一下我們動人也要遵照辦理謝謝
transcript.whisperx[211].start 6700.083
transcript.whisperx[211].end 6718.363
transcript.whisperx[211].text 好 我說明一下這個75案我提的主要是我看到這個長照基金我們114年我們的整個支出就是預算數是758億但是我們的預算數是這樣但是用途預算數已經高達
transcript.whisperx[212].start 6720.575
transcript.whisperx[212].end 6748.351
transcript.whisperx[212].text 879億是不是是所以其實短處已經他已經沒有平衡了就是說你的支出大於你現在編列的預算超過120億那所以在這樣的一個情況底下已經有學者示警就是說我們的長照基金未來的這個支出不斷的增加但是顯然你這個基金的來源並沒有一個新的來源所以如果再這樣發展下去的話我們長照基金恐怕三年內
transcript.whisperx[213].start 6749.318
transcript.whisperx[213].end 6773.855
transcript.whisperx[213].text 就會消耗殆盡就是這個基金大概就用完了那這個部分我覺得衛福部應該要提早未雨綢繆就是看到這樣的情況然後要去增加你的這個基金的來源那之前你們有在提到說要稅收保險雙制度我不曉得這只是隨口說說還是未來要朝向這樣的規劃如果這樣跟保險
transcript.whisperx[214].start 6778.827
transcript.whisperx[214].end 6794.32
transcript.whisperx[214].text 雙軌制度他們曾經有這樣子講那這個是不是你未來的還是未來還繼續走稅收那如果稅收顯然現在的稅收不夠用特別是今年已經變成是超高齡的社會我們這個老年人口數已經正式突破20%那所以這個部分你們應該要提早來做
transcript.whisperx[215].start 6798.303
transcript.whisperx[215].end 6804.347
transcript.whisperx[215].text 那在這樣的情況底下你們今年的媒體編的錢跟業務宣導的錢還比112年更高你112年的決算只有4517萬4710元但114年你編列的高達6550萬所以我提這個案子是在幫你們省錢就是說已經基金不太夠使用了但是你的媒體的宣導你們還持續往上加往上編列
transcript.whisperx[216].start 6827.72
transcript.whisperx[216].end 6849.972
transcript.whisperx[216].text 那这个部分我认为你们应该要来检讨而且钱就应该要用在刀口上事实上有一些没一起宣导如果是你们评估那个成效根本没有不是说112年编列然后你114年照样编照样做应该去检讨那个实质的成效在哪里所以我才提出这样的一个这个煽动案好
transcript.whisperx[217].start 6853.22
transcript.whisperx[217].end 6860.73
transcript.whisperx[217].text 好謝謝謝謝王委員這邊的一個提醒跟提案那我先說明一下王委員其實已經這個案剛剛有同意我們明語簡略然後改動節300萬然後科目自行調整也已經簽名
transcript.whisperx[218].start 6869.142
transcript.whisperx[218].end 6883.246
transcript.whisperx[218].text 那我想針對剛剛王委員的關注的一些面向這邊也簡單說明一下那其實目前我們到去年年底就是113年年底基金累積盈餘現在有達到1500萬大概有超過1500萬
transcript.whisperx[219].start 6888.007
transcript.whisperx[219].end 6905.747
transcript.whisperx[219].text 一千五百萬一千五百億一千五百億累計也達到一千五百億就是一一三年底那主要這個收入的部分是以房地合一稅佔大概六成多是最大宗
transcript.whisperx[220].start 6907.549
transcript.whisperx[220].end 6928.079
transcript.whisperx[220].text 我們目前就是雖然就是說每年大概因為服務人數的成長跟服務量能的提升所以導致我們確實在編列的時候會按照預估財政部給我們的預估的收入來臨去編制出可是每年我們因應民眾實際的需求所以都有每年會啟動讓地方政府可以請增
transcript.whisperx[221].start 6929.099
transcript.whisperx[221].end 6929.279
transcript.whisperx[221].text 所以剛剛呃呃呃呃呃呃呃呃
transcript.whisperx[222].start 6945.429
transcript.whisperx[222].end 6974.097
transcript.whisperx[222].text 三年刚刚特别提到说累计到去年年底整个基金的一个收入盈余是已经超过了1500亿那我想这个部分我们其实也是随时都在检讨相关的这个财政的一个财务的来源那我们跟财政部这边都有一些定期做一些相关的讨论那针对就是说可能过往在媒体有报道这个刚刚提到的这个什么裁员
transcript.whisperx[223].start 6974.637
transcript.whisperx[223].end 6976.838
transcript.whisperx[223].text 那這件事情就是不管是什麼樣的財務的來源都會列為我們的評估的項目之一那這邊就是也會朝這個方向來因應面對到越來越高的一個人口群的一個需求那我們在這邊也特別強調就是說預算編列我們基本上一定會預留
transcript.whisperx[224].start 6998.887
transcript.whisperx[224].end 7022.647
transcript.whisperx[224].text 要按照收入來源來編那支出我們基本上就是以民眾的需求有需要我們就支應朝向這樣的一個態度來面對長照的一個供應以上做這樣的一個說明所以你的意思是說你們長照基金現在有累積於有一千五百多億那你現在一年不足的一百多億嗎所以還可以撐個十年有112年底
transcript.whisperx[225].start 7025.219
transcript.whisperx[225].end 7049.641
transcript.whisperx[225].text 以100 不能用現在估啦 我剛剛已經講過了齁 邁向超高齡社會很快啦 我覺得很快你的支出會達到千億規模一定是的 就是說現在還要長照3.0那其實大家的需求 你可以看到其實是越來越多有些其實根本沒有到位 之前我遇到一些機構喔他就跟我說 目前政府所有長照的政策對於機構是零補助
transcript.whisperx[226].start 7051.923
transcript.whisperx[226].end 7052.243
transcript.whisperx[226].text 請問老的有沒有
transcript.whisperx[227].start 7070.481
transcript.whisperx[227].end 7087.867
transcript.whisperx[227].text 對就是其實有一大塊都還在話外之地就是說都沒有在政府照顧的範圍所以我只能說其實因應這個超高齡的社會我是提醒衛福部應該要提早來因應準備你現在看到的預算不是只有這樣而已實質上的需求坦白講你們還有很多
transcript.whisperx[228].start 7089.387
transcript.whisperx[228].end 7113.299
transcript.whisperx[228].text 根本沒有去照顧到你說機構完全不需要照顧嗎我覺得這樣好像也是沒有道理事實上機構他也負擔了很多中正一些一些需求的民眾但是政府現在的量能坦白講他只在這個家庭跟社區他注入了非常多的動能但是到機構的部分他是完全讓機構自己去自負盈虧自己去負責政府
transcript.whisperx[229].start 7113.706
transcript.whisperx[229].end 7124.838
transcript.whisperx[229].text 去給他們的力量很少所以前一陣子我才遇到這一些機構的負責人他們跟我反映說為什麼政府的政策就是對我們機構其實是完全都沒在照顧就是都沒有啊也沒有什麼相關計畫是可以申請補助都沒有就是讓我們自己來運作
transcript.whisperx[230].start 7131.385
transcript.whisperx[230].end 7147.269
transcript.whisperx[230].text 那這個其實就是我們整體在長照的政策當中我覺得還是有所偏頗當然我知道過去我們是想要強調居家式社區式的照顧這個沒有問題但是實際面事實上也有很多的家屬他就是不得已他還是他的長輩就是進到了機構
transcript.whisperx[231].start 7149.87
transcript.whisperx[231].end 7168.168
transcript.whisperx[231].text 但是針對這一類型現在雖然有一些是針對家長有補助但是對於機構怎麼提升他的品質他所聘請的人員設備等等到目前為止是零市長現在代理機構安養的總共有9萬多人那這9萬多人不是一個月有補助有一年就是12萬
transcript.whisperx[232].start 7170.25
transcript.whisperx[232].end 7195.691
transcript.whisperx[232].text 他没有补助机构任何去提高他们的设备人员各方面他们是说他们都没有了跟委员补充报告对于这个一千多家的机构我们采取这种品质提升的卓越计划从108年就是已经有四年只要他达成我们的这个品质提升的指标他就可以拿奖励金我们透过奖励的方式让这些机构经营者愿意
transcript.whisperx[233].start 7196.371
transcript.whisperx[233].end 7219.998
transcript.whisperx[233].text 服務的方向導向符合他按照各個指標不同的金額那最多一年也可以拿到一兩百萬那所以現在有新的四年的獎勵計劃也是鼓勵針對他願意好好的友善照顧他的人力薪資給到三萬多元以上 王玉明有人提供的是不是要思考做長照保險
transcript.whisperx[234].start 7221.691
transcript.whisperx[234].end 7234.534
transcript.whisperx[234].text 這是是不是要輸課啦我另外一個想法是長照保險要做就叫健保署做健保署很厲害啊現在5.17%的匯率差不多9000多億9000多億除起來1%就1600億左右
transcript.whisperx[235].start 7245.516
transcript.whisperx[235].end 7274.526
transcript.whisperx[235].text 那如果說增加到增加一點0.5 0.8或者是到6%那這個長照基金就一年有1000多億的規模那電子健保局的所有所有的data都是完善的都是而且監控的非常非常非常非常非常非常非常好好 劉建國 請歡迎沒有 剛剛是聽翁委員講到長照部分其實
transcript.whisperx[236].start 7275.958
transcript.whisperx[236].end 7287.826
transcript.whisperx[236].text 這個是一個善意提醒但是不會三年就經費消耗殆盡但是有一個問題我還是必須要提供給衛福跟長照事做參考
transcript.whisperx[237].start 7288.656
transcript.whisperx[237].end 7313.022
transcript.whisperx[237].text 這甚至牽動整個衛務部如果我們的整個經費一年度一年度的增加那是對值的部分提高而不是對量的部分提高我覺得我支持對值提高而已是OK但是對量所謂的量就是使用長照的對象人數越來越多
transcript.whisperx[238].start 7314.81
transcript.whisperx[238].end 7335.268
transcript.whisperx[238].text 那這樣會不會就違背賴總統講的健康台灣而且是非常大的衝突跟矛盾那你的經費就會衝突王委員所講的他是估三年啦我待會會估久一點點而已啦我覺得這樣就整個叫做台灣就不能叫做健康台灣
transcript.whisperx[239].start 7336.343
transcript.whisperx[239].end 7349.488
transcript.whisperx[239].text 如果多數的邁入到超高齡社會之後多數的我們的長輩全部百分之七十八十九十通通要用長照這個不叫做健康台灣叫做什麼叫做要用綠色綠色的台灣
transcript.whisperx[240].start 7351.457
transcript.whisperx[240].end 7378.769
transcript.whisperx[240].text 長照的定義很清楚嘛長期身體心理質疑不能自理嘛你如果反作台語說的話 回去要用來生育啊不然要用購啊你出了私資了 你跑出去不知道怎麼回來你明天四點鐘要購那購了是 你是購到幾千萬的人一人私資全家是喪志啦所以我是 所以我一直要強調說你長照基金裡面 你除了再去增加你把值的 這樣的提高我覺得支持 一定支持
transcript.whisperx[241].start 7379.289
transcript.whisperx[241].end 7395.173
transcript.whisperx[241].text 但是如果是對象對象的量一直在增加那代表我們前端一而再再而三的出問題所以我才會在總預算的時候總持預算的時候特別跟部長跟院長提醒嘛你們的預防走入長照的比例在你們長照基金是多少如果在這個地方沒有那就在國建署啊不然就在哪個單位啊你不能沒有啊
transcript.whisperx[242].start 7408.379
transcript.whisperx[242].end 7434.375
transcript.whisperx[242].text 你不讓台灣的長輩人數比例越來越高見到超高齡就一定的比例見到長照系統裡面你比較多錢也不夠啊你做保險也不夠 他們不會說對不對那就是真的違背賴總統講的這個目標叫健康台灣嘛我們都希望我們的長輩可以健康在地的安老啊不是只有在地的老化而已啊更不是在地的長照服務化
transcript.whisperx[243].start 7437.996
transcript.whisperx[243].end 7449.95
transcript.whisperx[243].text 這個要很清楚 跟委會說明清楚你們到底怎麼做預防走入長照很簡單預防走入長照台灣所有的人都應該要有這樣的一個處理的模式
transcript.whisperx[244].start 7454.722
transcript.whisperx[244].end 7469.978
transcript.whisperx[244].text 非常謝謝局委委員真的是提出精闢的建議令我非常敬佩我想健康台灣的願景就是希望尤其在長照3.0就是
transcript.whisperx[245].start 7471.319
transcript.whisperx[245].end 7493.228
transcript.whisperx[245].text 醫療跟長照的結合那希望能夠讓我們老人家盡量不要失能那這中間當然剛剛建國委員提的很多的健康賦能健康促進這個都是各部門都要去做的事情那我們有一個目標就是希望在2030年能夠把健康
transcript.whisperx[246].start 7494.028
transcript.whisperx[246].end 7521.468
transcript.whisperx[246].text 移民能夠從現在可能平均移民有10%是不健康的降低到8%這也是跟幾位委員提的一樣的努力的方向所以未來長照大概長照因為這件事情是整體性的啦醫療部分啊什麼都要連結3.0其實就在做這種連結就這樣的一個連結那也達到
transcript.whisperx[247].start 7522.628
transcript.whisperx[247].end 7544.98
transcript.whisperx[247].text 也是健康台灣的目標我們會去一直在努力當中而且我們在社區也一直在建立一個醫療結合醫療以人為中心以社區為基礎的結合醫療長照社福還有社安當然現在未來很多志工也都要進來像以前我們在雲林就推動65歲到75歲的來照顧75歲以上的
transcript.whisperx[248].start 7548.806
transcript.whisperx[248].end 7565.292
transcript.whisperx[248].text 一個這樣的一個系統也謝謝建國委員在這相關的方面給我們這個計畫很多的支持那這些都是我們未來的一個目標就達到大家想要往這方面努力的一個變景 謝謝
transcript.whisperx[249].start 7569.328
transcript.whisperx[249].end 7592.506
transcript.whisperx[249].text 我這邊口頭補充一下就是剛剛劉委員在總質詢其實一直關心的就是到底預防延緩失能的一個預算那個佔比佔整體那用長照基金投入這個預防延緩失能就是我們部裡面跨司署大家一起共同努力包括園民會也有拿到相關的文件站的一些相關都是促進延緩失能的這樣一個場域那目前113年是72.9億
transcript.whisperx[250].start 7598.331
transcript.whisperx[250].end 7599.953
transcript.whisperx[250].text 72.9億那佔整體大概8.81整體基金的預算那今年編列是接近80億79.77億那佔整體是9.08這個事實上是有一直在提升
transcript.whisperx[251].start 7614.714
transcript.whisperx[251].end 7634.004
transcript.whisperx[251].text 那不包括體育部運動部的體育署那邊其實也有全民運動的一些導入那我們剛剛講的這個部分是除了衛福部那還有園民會一起是用這個長照基金在做預防延緩失能的一個努力推動以上做這樣補充說明
transcript.whisperx[252].start 7636.365
transcript.whisperx[252].end 7651.292
transcript.whisperx[252].text 好 主席再一句話就好延緩私人的經費的編制這個我沒有意見當然今年增加是最好的嘛但是一環走路長照不是只有單一項叫延緩私人而已啦
transcript.whisperx[253].start 7653.633
transcript.whisperx[253].end 7679.634
transcript.whisperx[253].text 如果這樣就太淺了 不好意思就是說從長照1.0到2.0我們原本服務對象的母數就不一樣這個中間會減對不對基本上台灣朝向超高齡的時候他當然會有一定比例的成長那我們要Focus的對象我們是不是照理講原本可能預估他是假設是100個人
transcript.whisperx[254].start 7681.738
transcript.whisperx[254].end 7707.901
transcript.whisperx[254].text 那因為我們的玉皇的走入長照的相關的政策搭配得以執行到有一定的效益那原有的100可能會剩下90個可能會剩下80個他根本就不需要走入長照根本不需要用到長照的任何一筆經費我想我要打造想要走的方向是這個樣子啦這樣才是有這樣的數據可以跟我們參考嗎不是你的預算說因為晚時冷
transcript.whisperx[255].start 7710.494
transcript.whisperx[255].end 7735.696
transcript.whisperx[255].text 8%、9%、10%不是這樣啦跟委員在說明齁其實陳榮部長剛剛講的這真的是跨部會然後而且是全民自己本身要從小培養出運動習慣那這也是賴總統健康台灣一直倡議的要建立全民運動培養全民運動的習慣那現階段如果我們看整個失能率的調查
transcript.whisperx[256].start 7736.877
transcript.whisperx[256].end 7747.204
transcript.whisperx[256].text 那其實是不是那麼樂觀因為失能率的調查做出來基本上是從人口普查的時候前10年做出來是12.6那後來109年的結果出來是變成是3.3
transcript.whisperx[257].start 7755.729
transcript.whisperx[257].end 7782.237
transcript.whisperx[257].text 那我們覺得在超高齡社會因為平均壽命一直延長的狀態下其實這個失能率必然是往上要達到委員期待能夠往下降其實還有很長的一段路那真的必須每一個人有這樣的一個運動習慣那因為台灣真的沒有運動的風氣國人跟世界各國比較之下那這個部分是每一個人可能必須要
transcript.whisperx[258].start 7785.264
transcript.whisperx[258].end 7809.524
transcript.whisperx[258].text 我不擔心你說了又說了會出事什麼會沒有運動風氣你可以說不...也不是運動就不會有運動人就不會這個講法有點這是一個比較高的一個處理的模式的看法不是只有單一長照式的角度去做思考好不好就這樣就好了謝謝
transcript.whisperx[259].start 7814.108
transcript.whisperx[259].end 7819.311
transcript.whisperx[259].text 70萬就是凍結300萬科目自行調整76萬謝謝那76萬是陳昭州委員的那口頭辦公室是有同意合併78案共同凍結50萬然後科目自行調整沒有我們的就是在討論喔不是喔不是這樣的我沒有簽名我沒有簽喔是
transcript.whisperx[260].start 7834.98
transcript.whisperx[260].end 7861.378
transcript.whisperx[260].text 因為這個案子我們提也是因為民眾陳情你現在現行機構沒有顧慮到這個機構的喘息的部分在收第七八級的這個需求者必須要需要比較多的資源跟耗材那你一律都是收2310元那導致很多機構他可能不願意收重症就是說七八級的需求者但是明明這些人是需求等級是比較高的那我在想說你手邊有沒有那個喘息服務
transcript.whisperx[261].start 7862.699
transcript.whisperx[261].end 7863.764
transcript.whisperx[261].text 族群你有相關統計嗎族群
transcript.whisperx[262].start 7869.656
transcript.whisperx[262].end 7894.676
transcript.whisperx[262].text 機構會使用24小時住宿機構的對象基本上都是比較屬於使用喘息服務的組織我現在手邊的數字2023年全台灣有60名照護者是符合申請條件的喘息服務但是申請人只有4萬23%連四分之一都不到這種執行率在其他預算案早就被砍掉了砍光光了那發生什麼事情
transcript.whisperx[263].start 7895.756
transcript.whisperx[263].end 7917.842
transcript.whisperx[263].text 那你看剛剛大家都討論這麼多後來我看到第1777案也是王衛明委員也提也提到了嘉義縣的長照交通資源結據全縣才13輛康復巴士夠不夠啊那最近台視也有做一個那個熱線追蹤他這個這一集做得很清楚有些媒體好好做個專題我覺得你們也是要去了解所以我想要說針對這個你們怎麼樣讓機構願意投入這個喘息服務怎麼提高喘息部有許對於這個重
transcript.whisperx[264].start 7924.864
transcript.whisperx[264].end 7945.401
transcript.whisperx[264].text 七到八級的這個你要趕快去處理啊因為那個執行率那麼低那你執行率如果再去根據等級來看搞不好七八級你們根本機構都不收啊你說獎勵結果他們沒有再說真正需求量沒有辦法去說真正需求最高等的那一群族群啊這樣就是沒有照顧到啊
transcript.whisperx[265].start 7946.889
transcript.whisperx[265].end 7967.469
transcript.whisperx[265].text 所以我要照結果 結果是非常重要的那你有沒有統計數字還是關心整體的量從一到八級整體的量委員關心的相當數據我們會後可以提供給委員那你有嗎 你有現成的數字嗎現在手邊沒有那大家抱怨七到八級的那個整個收費都是一樣那當然就又造成很多人講什麼排擠那當然要照顧相對 相對輕度的
transcript.whisperx[266].start 7971.953
transcript.whisperx[266].end 7977.195
transcript.whisperx[266].text 也跟委員說明以我們目前的給支付裡面針對機構的喘息服務GA05的這一支是一天是2310元如果乘以30天的話整個一個月一個月是69300元那以我們24小時住宿機構目前地方政府核定的收費標準多人房大概是35000
transcript.whisperx[267].start 7998.923
transcript.whisperx[267].end 8022.99
transcript.whisperx[267].text 至少你没有看到我的重点你投资多少但是最需要的人这些人最需要帮助的时候如果你没有去特别关注这群人我们现在23%的使用率是怎么来的到底谁没用应该这么说我们住宿型机构目前的住民分析七八级的占超过八成所以多数都是七八级的
transcript.whisperx[268].start 8023.871
transcript.whisperx[268].end 8039.011
transcript.whisperx[268].text 那委员关心到二十几趴说使用喘息中重度使用喘息因为中重度也会使用全台湾的六十万需要者只有十四万申请应该说我们这边的喘息服务使用最多的是居家喘
transcript.whisperx[269].start 8039.952
transcript.whisperx[269].end 8045.296
transcript.whisperx[269].text 居家喘息服务使用量是最多那住宿型机构的喘息服务
transcript.whisperx[270].start 8070.292
transcript.whisperx[270].end 8096.438
transcript.whisperx[270].text 那你就是要幫助需求量需求最高等的這些這群人啊所以這個部分你們要講清楚啊你要怎麼讓機構願意投入喘息服務啊那個那個比例我們可以看怎麼提高這個利用率喘息服務的利用率其實以現在一天支付2310元已經非常高了剛剛我算出來就一個月竟然可以達到九萬六萬九千三百元跟現在的這個機構
transcript.whisperx[271].start 8098.259
transcript.whisperx[271].end 8105.24
transcript.whisperx[271].text 收的住民的費用其實是已經是double了是三萬五多人房的話
transcript.whisperx[272].start 8106.494
transcript.whisperx[272].end 8129.657
transcript.whisperx[272].text 所以這個費用完全就單人房你是假設他每天都住然後你有假設說所有不同級的人都一樣的費用你覺得你當中這樣設計合理嗎基本上如果今天不是那麼重的個案他不會選擇用機構船他會選擇用居家船所以我們現在使用居家船的比例是最高的居家船席
transcript.whisperx[273].start 8130.377
transcript.whisperx[273].end 8148.407
transcript.whisperx[273].text 我今天的重點是告訴你民眾陳情的是C8級的需求者那一旦費用調高之後其實對民眾的部分負擔也是會加重所以目前就我們整個成本算過你還是堅持都不分就對了都不分等級就對了就是都不分等級的現階段喘息的額度沒有分等級
transcript.whisperx[274].start 8152.549
transcript.whisperx[274].end 8168.176
transcript.whisperx[274].text 那他基本上就是對民眾的選擇他願意使用居家船就用居家船同樣這一包的額度跟機構會不想收啊因為他們需要提供更他們的成本更高照顧成本更高啊這重點在這個地方啊我們看到的現象不是這樣因為
transcript.whisperx[275].start 8170.037
transcript.whisperx[275].end 8192.046
transcript.whisperx[275].text 機構是希望在2310再跟民眾再去收自費的項目那這個部分是不允許的因為2310已經包括了所有的費用應該支出的部分就剛剛講了如果這樣子我覺得你還是沒有針對我這次的重點反正這個部分你大概知道你聽得懂我在強調的是什麼你要把書面包到血兒頭我還是還是一樣啊500萬因為你要發下去當然這個基金的部分我們對啊
transcript.whisperx[276].start 8199.915
transcript.whisperx[276].end 8206.006
transcript.whisperx[276].text 因為你一直在講說我們都一律照顧我們都有這樣做的你的重點就跟我今天的重點不一樣
transcript.whisperx[277].start 8207.233
transcript.whisperx[277].end 8233.283
transcript.whisperx[277].text 那我的數字就是只有23的利用率我很懷疑那23的利用率裡面就像你說都在居家在用真的當然不是但這些也都需要那其他更需要等級更需要的人你完全一律平等的在處理啊那這樣機構怎麼會願意去照顧這個七八幾的這個相對重度的這個這個需求者七十六萬跟七十八萬跟陳昭日文跟陳昭日文跟陳昭日文跟陳昭日文跟陳昭日文跟陳昭日文
transcript.whisperx[278].start 8236.365
transcript.whisperx[278].end 8238.269
transcript.whisperx[278].text 兩個先站動一會你再去解決一下好 77案
transcript.whisperx[279].start 8243.527
transcript.whisperx[279].end 8270.027
transcript.whisperx[279].text 讓我講一下 其實現在是我這邊的案子那主要是我剛剛講過我們今年已經進入到超高齡的社會但是像嘉義縣的老年人口65歲的老年人口他是全國第一他老早就進入超高齡了他現在是超過22%的比例那再加上這個嘉義縣他的那個整個他有18個鄉鎮那他整個的交通網
transcript.whisperx[280].start 8270.788
transcript.whisperx[280].end 8289.109
transcript.whisperx[280].text 非常的不方便所以坦白講那些老人家要外出看病看醫生他要搭這一個交通車就是現在無論是富康巴士或者是長照車他的那個使用需求其實是高的但現在整個嘉義縣全縣只有13輛的富康巴士
transcript.whisperx[281].start 8290.348
transcript.whisperx[281].end 8313.002
transcript.whisperx[281].text 62輛的長照車在這個使用需求上面他是供不應求所以有人開玩笑說這個很像在搶演唱會的門票一開放半小時就額滿了那所以這個對於我是提醒衛福部針對有些縣市他老年人口比例又高交通網又不發達他不像台北市搭捷運公車這個交通系統這麼的發達那對於這一些縣市你們應該要特別去
transcript.whisperx[282].start 8319.345
transcript.whisperx[282].end 8338.279
transcript.whisperx[282].text 考量到他们的需求而且你在政策上面应该不是齐头式的平等对于这种人口比例又高交通网又不发达那是不是你们在补助作业上可以让他们有更多因应他的需求他可以提出相关的计划而且给予应该有的补助这个是我提这个案
transcript.whisperx[283].start 8338.875
transcript.whisperx[283].end 8349.303
transcript.whisperx[283].text 希望你們可以去進一步檢討的因為那些老人家真的他自己又不會騎摩托車又不會開車要出門真的靠的就是大眾跟政府提供的交通工具
transcript.whisperx[284].start 8351.065
transcript.whisperx[284].end 8377.117
transcript.whisperx[284].text 好謝謝委員這邊的提醒那事實上我們也因應就是各地的這個交通的量能的問題所以我們已經修改了特約管理辦法裡面把可以特約這個計程車跟這個轎車平台的那個全部都納入修正這個幾副辦法你把它納進來那問題是嘉義縣目前還沒有願意跟交通業者來特約所以這個部分我們也會積極的輔導
transcript.whisperx[285].start 8384.111
transcript.whisperx[285].end 8400.565
transcript.whisperx[285].text 是是我們會是是是那他們呃嘉義縣這邊也承諾也承諾說他呃以後會每年呃增加食量增加食量是好我們會朝這方面我們凍結100萬嘛齁自行調整對自行調整79萬
transcript.whisperx[286].start 8413.564
transcript.whisperx[286].end 8419.448
transcript.whisperx[286].text 對 王委員 跟您請求一下就是您的75跟77能並動嗎對好 75跟77兩岸並動300萬 全部自己調整客戶有 客戶底下
transcript.whisperx[287].start 8434.558
transcript.whisperx[287].end 8436.801
transcript.whisperx[287].text 科目就是自行調整79案是吳麗華吳委員那她不在
transcript.whisperx[288].start 8449.716
transcript.whisperx[288].end 8462.424
transcript.whisperx[288].text 他是他是有簽名那他當時是同意說併86案然後改也是這個科目我們可以自行調整然後改動100萬元只是併86萬86萬要徵得陳怡委員的同意
transcript.whisperx[289].start 8468.073
transcript.whisperx[289].end 8486.55
transcript.whisperx[289].text 好就79案動100萬吳俐娃簽名了是80案80案感謝林委員這邊的一個提案那也已經簽名改組決議好組決議81案81案感謝陳金威委員那也已經簽名改組決議好那80
transcript.whisperx[290].start 8490.578
transcript.whisperx[290].end 8493.781
transcript.whisperx[290].text 這個媒體宣導我們其實今年都沒有增加一毛錢那我們因為確實這個長照一些不幸事件一直發生那我們檢討原因其實有很多是民眾還是保有那個傳統的觀念
transcript.whisperx[291].start 8515.14
transcript.whisperx[291].end 8536.029
transcript.whisperx[291].text 認為家門不讓外人進來所以其實就是家屬自己硬撐所以我們覺得這樣的問題還是需要透過對於不同受眾的一個宣導來改變這樣的一個觀念那所以這個宣導真的很重要也希望招委這邊能夠支持是不是可以不要不然我動輒50萬報告再動輒
transcript.whisperx[292].start 8541.864
transcript.whisperx[292].end 8548.868
transcript.whisperx[292].text 動50那柯牧是也可以讓我們自行討好謝謝謝謝83案陳金輝跟王委員跟陳昭州委員這邊其實已改組決議也已經簽名了好謝謝84案陳金輝委員這邊已經簽名改組決議好謝謝85案是劉建國委員還持續溝通中
transcript.whisperx[293].start 8572.834
transcript.whisperx[293].end 8596.36
transcript.whisperx[293].text 你怎麼不講說就遵照我的提案辦那就不用持續溝通了動太多了不是啊這個也是在總執行都有提過嘛那就請市長可以做一個簡單回應嗎怎麼改善嘛因為這個人家全球市政的報告對這個市區中有這個足夠失智者的支持服務
transcript.whisperx[294].start 8597.202
transcript.whisperx[294].end 8623.849
transcript.whisperx[294].text 認同比例只有48.5一般民眾的認同率就只有32.4那在我們雲林縣他們9月份自己 先生我自己的新聞稿寫的啦他統計 我們也是最早 不能講說最早啦可能前三名進到超高齡社會嘛那麼去調查 有施政有一萬多那結果有使用到這個施政的相關的長照的資質 扶得不到一半
transcript.whisperx[295].start 8626.031
transcript.whisperx[295].end 8652.546
transcript.whisperx[295].text 所以這個相對這樣的一個調查報告的一個認同力就很顯實就很實際那怎麼改善這個狀況跟委員說明就是2024委員指出的這個全球施政報告我們整個了解它其實是設計在一個我們國內的那個台灣施政協會的官網上那其實它是採取由民眾自己
transcript.whisperx[296].start 8653.286
transcript.whisperx[296].end 8676.507
transcript.whisperx[296].text 自主進去填寫那些問卷那大概收集了2700名民眾的一個填寫結果所以那個是非常主觀的感受說到底國內的失日政的一些相關的服務他們有沒有感受到充不充足這個部分先說明一下調查的方式跟結果那事實上目前台灣我們一直在講這個失日政策綱領
transcript.whisperx[297].start 8678.868
transcript.whisperx[297].end 8694.832
transcript.whisperx[297].text 這個777的這個部分我們在113年有達到67.23%所以這一塊是確實有掌握到已經確診失智症的人的ID然後也在我們的服務體系裡面那這個部分是佔我們推估失智人數8%的失智人數裡面佔67%
transcript.whisperx[298].start 8698.873
transcript.whisperx[298].end 8714.028
transcript.whisperx[298].text 那因為有這樣的一個結果所以他的家人的照顧者事實上也都在體系裡面可以得到一些支持所以這個部分跟網站上這個是主觀感受他的目標人口群有可能是
transcript.whisperx[299].start 8714.688
transcript.whisperx[299].end 8740.726
transcript.whisperx[299].text 完全其實不是了解失智體系的人可能他就覺得他沒聽過他周遭也沒有所以他就體驗感受上是沒有的所以我想說這個調查結果跟我們實務上確實有掌握到這個ID跟家庭的這個照顧者其實是有這樣的一個落差那當然我們知道所有的服務民眾即使有進來使用他還是有一些覺得不是那麼友善需要再提升所以我們現階段
transcript.whisperx[300].start 8742.307
transcript.whisperx[300].end 8767.361
transcript.whisperx[300].text 在規劃長照3.0也同步在修正我們的失智政策綱領要函班3.0因為失智政策綱領也是2.0也是到今年年底為止所以我們會同步跟3.0一樣都在115年讓他同步上路那現在這個失智政策綱領也請我們的台灣失智政協會找民間的一些專家學者一起正在討論嚴定當中以上做這樣一個報告
transcript.whisperx[301].start 8770.103
transcript.whisperx[301].end 8792.985
transcript.whisperx[301].text 我已經露出對你善意的微笑但是我要刪一定有堅強的理由啦不然我是動啦也不是要跟你刪啦你說那些去接受調查的回應的都有主觀的這樣的主觀感受你又不是他們你怎麼知道他主觀
transcript.whisperx[302].start 8794.246
transcript.whisperx[302].end 8817.221
transcript.whisperx[302].text 這第一點那第二點這個數據出來就是這樣社區中認同的就48.5一般民眾認同率就32.4你即便覺得這個數字不是很實際那雲林縣政府地方政府又他們自己的調查報告裡面是一半以上沒有使用到我們的這樣的一個施政的一個支持的服務
transcript.whisperx[303].start 8818.201
transcript.whisperx[303].end 8839.782
transcript.whisperx[303].text 那就是這是事實啊除了地方政府他自己亂做的還是他過於主觀的報告啊他是開記者會的餒對不對那其他先是我不清楚我是兩個東西合起來跟市長提醒有這件事情嘛這七一嘛齁那七二長照3.0我們還沒有走但是大致上的換的方向應該清楚嘛
transcript.whisperx[304].start 8840.422
transcript.whisperx[304].end 8864.09
transcript.whisperx[304].text 就醫療會增加更多進到這個體系裡面對不對然後居扶會再提升怎樣的患酬你們還在修嘛對不對然後可能機構式的看要怎麼再去做資源加強嘛應該大致上是三方向所以我一再的提醒說長照3.0要不要一併失智的3.0要不要一併來處理嘛時間一樣嘛對你們患酬是怎樣
transcript.whisperx[305].start 8870.424
transcript.whisperx[305].end 8897.102
transcript.whisperx[305].text 就是一樣會由行政院這邊來不是啊實質的3.0有別於2.0是差異在什麼地方基本上因為失智我們的政策綱領其實都follow這個世界衛生組織那一邊那目前世界衛生組織對於3.0的這個方向我跟你比較熟啦你直接跟我講好不好你不要跟我講世界衛生組織跟他比較不熟我們失智這3.0的換成什麼
transcript.whisperx[306].start 8900.397
transcript.whisperx[306].end 8928.193
transcript.whisperx[306].text 我們一樣是會提高要提高確診率然後及早掌握掌握失智症者所以這個一定是要確診因為現在國人還是對於尤其是CDR0.5的他會認為他自己其實是還是跟一般人一樣那我們也希望及早掌握到CDR0.5的能夠進到我們的一個服務場域裡面那讓他真的有機會就是不要不要再失智再加重然後能夠hold住
transcript.whisperx[307].start 8929.914
transcript.whisperx[307].end 8938.878
transcript.whisperx[307].text 這個這個政策方向是會持續加強長照3.0的內容怎麼樣我就大致上幾個字就講完了嘛對不對你的失智3.0會變怎麼樣那麼幾個字就講完我們會對於困擾家庭的這樣的一個失智對象會有更多的照顧場域來讓民眾選擇不見更多的這些照顧場
transcript.whisperx[308].start 8954.804
transcript.whisperx[308].end 8981.078
transcript.whisperx[308].text 如果沒有情緒 伴隨情緒行為困擾的這樣的失智症他其實住在家裡都OK我應該強調是失智症他必須要有這個相關的這些支持在三點裡面的支持連結會速度更快那比例應該會再提高對不對這是我們的方向好啦 阿你為什麼光在那邊 要動多一點沒有 要不然講一句話 你就插下去啦要不然要遵照我的提案辦理好啦 你要動多一點啦
transcript.whisperx[309].start 8986.603
transcript.whisperx[309].end 9009.994
transcript.whisperx[309].text 因為這個經費真的就是我們補給這個部件這個失智的一些相關資源跟推動宣導的很重要的推動業務的費用預算編出來沒有一項是不重要的也沒有一項不是很重要的應該是這樣我動一擺好不好然後你把你的失智症的3.0的內容
transcript.whisperx[310].start 9012.395
transcript.whisperx[310].end 9020.718
transcript.whisperx[310].text 再提供出來 好不好然後如果提升民眾的認同率還有使用率啦 好不好好 謝謝動100萬86萬陳穎的她簽了沒陳穎委員已經簽名了那她也同意我們科目能夠自行調整動300萬然後是 對動300萬那跟妳剛剛講的有併嗎 沒有吧
transcript.whisperx[311].start 9042.37
transcript.whisperx[311].end 9058.733
transcript.whisperx[311].text 他就是要問他是不是能夠跟79案吳麗華委員這邊這個案子並動陳寅委員有同意要並案嗎目前沒有,可是吳委員是說希望跟陳寅這案並動沒關係啦,你再問陳寅啦好一個動100,一個動300嘛對不對是先分開啦好87案87案也是劉委員該組決議嘛該組決議好,謝謝
transcript.whisperx[312].start 9074.031
transcript.whisperx[312].end 9098.117
transcript.whisperx[312].text 那個跟劉仁言說明一下劉仁言非常關心那個比爾館的儀儲尤其特別是在這個機構裡面可以照顧的這些人所以劉仁言的提案裡面很清楚的就是說希望我們對於儀儲這個比爾館的這些長照的人也必須要有一套的必有系統的一些教育訓練可以讓他們比較早可以訓練教育的一些人可以拔除
transcript.whisperx[313].start 9098.897
transcript.whisperx[313].end 9127.516
transcript.whisperx[313].text 第二就是那個照顧的體系在裡面那個經費是不是能夠強化所以跟委員報告一下那健保在置物方案裡面47107B那目前是三千點但是目前這個相關的一些條件照顧的團隊人員的資格怎麼樣去調升這些目前都在召開專家會議當然是希望能夠有進行調整的一個必要符合現在的一個現況那怎麼樣來
transcript.whisperx[314].start 9128.817
transcript.whisperx[314].end 9146.266
transcript.whisperx[314].text 加強這些訓練我們常常是有公告的一個照顧服務員的資格訓練裡面的核心課程也包括這些這個鼻喉管跟味噪喉管還有相關的一些技術上怎麼樣去相關訓練如果能夠來培訓這些人未來來強化能夠改善這一方面的一個
transcript.whisperx[315].start 9147.747
transcript.whisperx[315].end 9168.07
transcript.whisperx[315].text 那對於機構裡面怎麼樣去減少這些住民到醫療機構有一個方案那希望能夠引介相關的照顧的人員來做獎勵機制來強化這些機構的一個照顧那跟委員做報告那這個大概是我們目前相關事務署有一些做法那跟劉委員做說明
transcript.whisperx[316].start 9169.631
transcript.whisperx[316].end 9189.989
transcript.whisperx[316].text 那署長你請坐啦主席這個要讓我用一點點時間好不好也請部長就再看一下內容因為要處理這件事情的時候這個署說那個署那個署說那個師那個師又說那個師最後一定回到這個部部絕對跑不掉嘛
transcript.whisperx[317].start 9191.082
transcript.whisperx[317].end 9205.909
transcript.whisperx[317].text 那我想這個時事長應該很清楚啦我們當時我應該講一個現狀啦你們能不能各單位所轄管的不管你是這個這個長照機構老人福利機構還是護理之家
transcript.whisperx[318].start 9207.256
transcript.whisperx[318].end 9233.555
transcript.whisperx[318].text 住民使用現階段使用還使用鼻胃管的佔比是多高能不能各單位做一個說明一下讓我們大家很清楚護理之家在務實嘛對不對好大約幾成嘛大約五成護理之家有使用鼻胃管的住民五成嘛對不對老人福利機構老人福利機構
transcript.whisperx[319].start 9240.437
transcript.whisperx[319].end 9266.134
transcript.whisperx[319].text 哪個福利機構現在就是住在這個機構裡面有使用鼻胃管的比例多高我們沒有很精確的統計但是照我們現在所看到數字大概應該是兩層到三層應該跑不掉兩層到三層是你沒有很統計正確的統計數據但是你的意向是二到三層是好謝謝那長洲機構
transcript.whisperx[320].start 9270.708
transcript.whisperx[320].end 9289.123
transcript.whisperx[320].text 市委員說明我們目前系統上是沒有這個欄位所以目前沒有掌握這樣的資料那就挺奇怪了對不對婦女之家有掌握社家屬對老人福利機構是用印象的我們的長照機構是沒有那個欄位所以沒有掌握
transcript.whisperx[321].start 9292.518
transcript.whisperx[321].end 9312.437
transcript.whisperx[321].text 請部長謝謝建國委員關心這個問題這個也是我們多年來我們在醫療領域非常重視的因為前部的照顧的procedure裡面鼻胃管大概是病人最痛苦而且這種最不願意的我們有做過調查
transcript.whisperx[322].start 9314.713
transcript.whisperx[322].end 9335.308
transcript.whisperx[322].text 尤其在重症末期的病人所以我們在教育學生都特別跟他講說不要隨便跟人家ON NE不然你自己ON一次看看但是我們都會跟年輕律師從現在的教育會比較重視不是說要吃就把它ON進去
transcript.whisperx[323].start 9336.247
transcript.whisperx[323].end 9352.486
transcript.whisperx[323].text 第一個要用進去就要很小心要一定要是不是你所有的照顧你所有的醫療的一些比較不侵犯性的工作都已經還有照顧工作是不是已經這樣比如說他可能嘴巴只是一個發炎
transcript.whisperx[324].start 9353.581
transcript.whisperx[324].end 9377.736
transcript.whisperx[324].text 那不太能夠禁食,你以為他就不能禁食了,就把他ON-NE其實你只要把他的口腔的黴菌用喝個黴菌的藥喝兩天,他就可以吃很多了第二就是說,他有時候這個食物不能吃那其實我們把他改變食物,他還可以吃很多這不需要用NE第三個就是有時候,我們平常是12點
transcript.whisperx[325].start 9379.838
transcript.whisperx[325].end 9390.452
transcript.whisperx[325].text 早晚12點可能會讓我們吃飯但是12點的時候就不會了那老人2點想要吃飯的時候沒有人會給他吃然後這個時候三次以後家屬就動不掉說我老婆沒吃飯不行就不願意了
transcript.whisperx[326].start 9396.993
transcript.whisperx[326].end 9425.996
transcript.whisperx[326].text 這幾個都是在照護上必須要先處理的那即使你甕了在緊急當中甕了這個鼻胃管你還是可以其實還是可以移除在照護好一點的情況之下還是可以還是可以移除所以我很欽佩跟敬佩劉委員關心這個問題我覺得這個在未來的醫療跟結合長照的過程當中以及長照未來3.0裡面一定要去注意到這件事情那我不曉得
transcript.whisperx[327].start 9427.306
transcript.whisperx[327].end 9444.815
transcript.whisperx[327].text 我們過去的一個基礎的data是怎麼樣那我覺得應該要有去改善計畫這個是非常人性化而是老人的尊嚴的事情而且是醫療上是可以幫助病人的事情我想留言的指導我想我們那個一定全力去來做這樣子
transcript.whisperx[328].start 9451.545
transcript.whisperx[328].end 9469.522
transcript.whisperx[328].text 我們剛才問三個相關機構的單位跟蔡副司應得出來,他們的主任超過五成,這合理嗎?這我們待會要討論。長照社家署的老人福利機構,他不曉得到底是多少,不過印象是二到三成。
transcript.whisperx[329].start 9471.844
transcript.whisperx[329].end 9482.248
transcript.whisperx[329].text 應該再問清楚一點應該不會亞於張護士啦你可以馬上了解一下嘛那我們的長照師是沒有那個染類所以基本上他不曉得這是很嚴重啦這樣的嚴重的情況之下就成為部長所講出來的這樣的一個狀況基本上是很大的衝突跟矛盾
transcript.whisperx[330].start 9494.736
transcript.whisperx[330].end 9511.561
transcript.whisperx[330].text 這個健保署的呼吸器脫離力健保署他是醫療機構的範疇所以我沒有問到健保署的部分鼻胃管的脫離力我倒是倒是不是很對我當然啦我們就是要努力嘛但是我們
transcript.whisperx[331].start 9512.521
transcript.whisperx[331].end 9531.054
transcript.whisperx[331].text 自己都不清楚我們轄管的這個機構到底多少人使用住民多少人使用的這個比例的時候你根本根本連要跨出第一步都沒有機會因為這一小步你都沒有做你就沒有另外的進展相關的計畫可以去推動嘛對不對沒有啦沒有啦沒有啦這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這這
transcript.whisperx[332].start 9540.547
transcript.whisperx[332].end 9566.489
transcript.whisperx[332].text 倉庫比喻館有健保給付嘛對不對有啊有健保給付怎麼沒有你藏造機構還有交付沒辦法但在藏造機構放比喻館有付錢嗎沒有吧居家都有居家都有啊機構就沒有了吧機構沒有啦
transcript.whisperx[333].start 9571.034
transcript.whisperx[333].end 9590.164
transcript.whisperx[333].text 你有沒有看到這個制度很奇怪有長照對象在聚焦使用博物館有支付在醫療機構有健保給付到長照機構沒有是這樣嗎還是你們不清楚
transcript.whisperx[334].start 9593.414
transcript.whisperx[334].end 9615.331
transcript.whisperx[334].text 護理師家有對不對安養中心沒有那更換有啦但是就是他需要用到鼻胃管的時候要做這個的時候在醫療機構有健保給付嘛在護理師家也不是每一個進去的多數應該都是有的啦坦白講但是萬一他剛進去是沒有後來才有的時候一樣可以申請給付嘛對啦
transcript.whisperx[335].start 9621.499
transcript.whisperx[335].end 9645.89
transcript.whisperx[335].text 不是啦 一個是更換啦 一個是原本不需要用 後來後來又用了對 那個可以申請健保給付嗎對嘛 好 長照機構可以嗎是一樣嘛 對不對好嘛 好 就是用的時候就是要使用的時候可以跟健保署申請健保給付嘛好 拔出來的時候有沒有健保給付拔出來應該沒有啦
transcript.whisperx[336].start 9651.487
transcript.whisperx[336].end 9654.415
transcript.whisperx[336].text 通過軍服 平常在醫院發毒是沒有止毒的
transcript.whisperx[337].start 9658.555
transcript.whisperx[337].end 9683.934
transcript.whisperx[337].text 沒有啦 更換有幾副啦這個更換有幾副嘛這個更換包括這個在醫療機構因為它是短期使用所以它擦的時候有幾副拔的時候沒幾副啦因為我們很多手術的時候會先擦嘛然後排氣啊什麼之後它就拔除了所以拔除是沒有幾副擦入的時候有幾副但是對長期留置的
transcript.whisperx[338].start 9685.066
transcript.whisperx[338].end 9704.783
transcript.whisperx[338].text 我們有一個方案嘛 劉委員很關心那個多少時間內能夠把它拔除我們就會有一個額外 3000元的獎勵啦那等於是一種獎勵平常的拔除是沒有額外給付啦以前是沒有嘛 現在有這項嘛 對不對訓練移除這樣
transcript.whisperx[339].start 9709.927
transcript.whisperx[339].end 9736.54
transcript.whisperx[339].text 把畢業館可以移組嘛 對不對讓它原有的咀嚼功能不會喪失嘛 對不對也不會便宜形式的這樣靠騎就一輩子一輩子騎久了嘛 對不對所以這個就是一個很清楚的邏輯問題嘛齁如果今天有我們的所有的這個機構裡面對這個事情很重視然後有一定的一個評比就像市長講的沒有那個欄位現在變得有這個欄位之後
transcript.whisperx[340].start 9738.842
transcript.whisperx[340].end 9750.862
transcript.whisperx[340].text 我們不會去花生到台灣變成所有的這些機構不管是物理之家 不管長照機構 老人福利機構我們的住民使用鼻胃管的比例是高於全世界的比例
transcript.whisperx[341].start 9753.934
transcript.whisperx[341].end 9768.734
transcript.whisperx[341].text 這樣我要表達這個意思不曉得大家能不能懂我意思因為部長其實剛剛已經講到精髓了但是重點我們在問這個事情的時候這個署推那個署那個署推那個師那個師推那個師相對的你今天就是會有相關的一些數據一直沒辦法凸顯出來
transcript.whisperx[342].start 9770.6
transcript.whisperx[342].end 9792.254
transcript.whisperx[342].text 所以我們去看日本的長照機構人家已經跟我們說他們的比喻管使用的比例已經很低了剛進來一堆可能剛進來的住民80%但是經過半年 一年 兩年 三年之後他們可以幫他們的住民把比喻管拔掉但是會用更多的時間做餵食的動作不過他們覺得這是應該做的
transcript.whisperx[343].start 9795.639
transcript.whisperx[343].end 9818.831
transcript.whisperx[343].text 因為他一旦別院管裝著之後你讓他裝了太久的時間他的咀嚼也出了問題嘛反而未來的健保給付啦相關給付反而是增加嘛他讓他可以回復到一定程度的咀嚼的時候那種醫療上的支出他其實是降低的嘛我是要說這個嘛我要說這個說你住在長照機構的時候是誰看得出這件事誰處理這件事沒有要跟我說那些人沒處理那些人沒處理那些人你告訴我那些人沒處理
transcript.whisperx[344].start 9825.504
transcript.whisperx[344].end 9851.996
transcript.whisperx[344].text 就不對了啊這怎麼對我想您提出的問題我們絕對不能不能再一直持續這樣沒有處理所以我想我們以人為中心不管不是分部門他整個從醫療到結合長照這個部分以這個人為中心給他最好的照顧結合用盡所有部門的力量來促使這個人有尊嚴
transcript.whisperx[345].start 9853.577
transcript.whisperx[345].end 9871.643
transcript.whisperx[345].text 能夠發揮他最好的一個個的能力不要喪失他我們腦部的能力 咀嚼的能力 活動的能力各種能力 心智的能力 身體的能力我們都要去啟發他到最極點這個部分我們一定全力以赴這個是未來的重點
transcript.whisperx[346].start 9873.317
transcript.whisperx[346].end 9889.438
transcript.whisperx[346].text 謝謝部長這麼善意的回應因為部長講到尊嚴的問題這其實真的是尊嚴的問題人要能活下去大家都很清楚我們自己的事我們要怎麼說尤其口腔師很清楚人生也不會薄薄作弊
transcript.whisperx[347].start 9891
transcript.whisperx[347].end 9897.388
transcript.whisperx[347].text 對不對,一輩子賣寶,你又挖掘,你又挖掘,你又挖掘,你又挖掘,你又挖掘,你又挖掘,你又挖掘,你又挖掘,你又挖掘
transcript.whisperx[348].start 9907.32
transcript.whisperx[348].end 9933.678
transcript.whisperx[348].text 這做清楚這麼重要的事情這真的是以人為本 以人性的一個照顧的方法去做出就這樣而已但是他們坦白講沒有很好做但是你會做不可啊你不能不做啊這原本就各個機關你們應該去把它列為重點怎麼會那個欄位沒有怎麼會不曉得到底比例是多高
transcript.whisperx[349].start 9935.311
transcript.whisperx[349].end 9956.837
transcript.whisperx[349].text 所以我還是要動啦但我可以動少一點沒關係但是我請部長是不是交代嘛各單位把針對這個事情要如何對長道體系啦移除鼻胃管的正確認知與積極的措施保障生存者的自信與尊嚴相關的計畫提供出來給委會做參考嘛同意或使得動之那我改動100好不好好謝謝
transcript.whisperx[350].start 9958.82
transcript.whisperx[350].end 9980.877
transcript.whisperx[350].text 那就改到一百萬部長要指定哪一個單位要去牽頭最重要的領導這也是寫國電史嗎?這也沒有關係長照碼
transcript.whisperx[351].start 9982.347
transcript.whisperx[351].end 10010.007
transcript.whisperx[351].text 我想自己叔叔如果覺得這個地方沒有做好的就趕快去做好那我們整個部是有健康台灣在長照3.0的推動裡面尤其只要負責長照3.0的在這方面因為他是結合醫療跟長照的結合全部要注意還是以病人為中心當然看起來是長照師要去推動一下
transcript.whisperx[352].start 10014.211
transcript.whisperx[352].end 10041.621
transcript.whisperx[352].text 那個主席我要改了 抱歉原本動500就動500 你看就是這樣啊現在是我姓啊 你自己看動500啦 各單位都 請部長要求嘛各單位都提出相關的因應 計畫 報告然後 要解凍就要解凍對啦 就有一個主責單位然後你去主責就這麼簡單我想我們一定會 這個是重點啦但是也不要動那麼多啦 可不可以
transcript.whisperx[353].start 10043.122
transcript.whisperx[353].end 10046.025
transcript.whisperx[353].text 這的確是這個問題從30年前我們開始注重到重症病人的品質的時候就開始這個問題
transcript.whisperx[354].start 10057.597
transcript.whisperx[354].end 10082.024
transcript.whisperx[354].text 但是我們一定要跟得上日本跟得上歐美台灣在這個部分已經很人性化的照顧那過去在長照也許我們還需要加強那是不是由長照師這邊先因為現在3.0這邊是在負責嘛醫療跟長照的結友是3.0的重點所以這個部分是不是長照師先來主持那其他相關的部分
transcript.whisperx[355].start 10082.608
transcript.whisperx[355].end 10098.334
transcript.whisperx[355].text 都一定要全力一起來做那是不是也不要動態動態沒有啦我原本就自己五百要降到一百嘛對不對你不跟我說就要降下來嘛但是我要說你要看到底對管理補救的就現在很鐵了嘛
transcript.whisperx[356].start 10100.121
transcript.whisperx[356].end 10116.239
transcript.whisperx[356].text 不是你們能不能陳魯部長剛剛講的嘛就給我們的照顧者有一點尊嚴嘛如果這些照顧者是今天你的親戚你三個公啊你有進步啊他可能是他可能是剛剛一個車禍然後就必須短期內接受這個照顧然後接受醫療
transcript.whisperx[357].start 10120.043
transcript.whisperx[357].end 10139.455
transcript.whisperx[357].text 然後後來可能他引發了一些慢性病後來必須要到長照機過去但是你看他的精神狀況然後講話都還很正常結果他被做了鼻胃管他一做下去之後隔半年再隔一年都沒有拔出來你們心裡什麼感想
transcript.whisperx[358].start 10141.138
transcript.whisperx[358].end 10149.689
transcript.whisperx[358].text 然後機構會有感覺說這樣我比較好管理會想要我比較好處理不敢跟他說啦但是英語給你們知道這樣你們都沒感覺你們就覺得這樣也剛好沒道理啊這個的確是一個大工程啦只要從醫護
transcript.whisperx[359].start 10159.302
transcript.whisperx[359].end 10184.283
transcript.whisperx[359].text 各種方法 團隊的專業教育因為比較簡單 稍早當時日本要推這個也很趕快推然後他們把營養士弄到團隊裡面那營養士就會教他怎麼樣飲食慢慢的飲食 那都要花時間在筆位館才可以拿掉那我想我們應該要趕快進階到這個部分那我請長照師主持其他部位來協助那在長照3.0把這個列為重點
transcript.whisperx[360].start 10187.565
transcript.whisperx[360].end 10204.316
transcript.whisperx[360].text 我們會把相關的計畫來提出來這個是我非常care的我不希望每一個人都長長的鼻子出生的時候有沒有長長的鼻子每次到末期大家都掛著一直長長的鼻子這樣子是我們手不能容忍的這個要努力
transcript.whisperx[361].start 10207.419
transcript.whisperx[361].end 10230.359
transcript.whisperx[361].text 謝謝部長 我最後講一句話就好了你要改動少一點我沒有意見 你看你要改動多少我都OK但是你相關的待遇就是把你們的怎麼樣來做這事情的相關計畫引你出來然後給委員會 經同意後使得動之最後我再補充一點 部長如果我們相關的機構對照日本我們都高於人家一倍
transcript.whisperx[362].start 10231.4
transcript.whisperx[362].end 10248.583
transcript.whisperx[362].text 我們住民都高於日本的相關的機構都一倍以上了那我們是很失敗的喔這個數據是可以馬上調出來可以來做對比不管是護理之家不管是老人福利機構不管是長照機構這是聽說調出來對的喔調出來比就對了所以希望把相關的計畫提出來給我們做參考好不好謝謝好那就動一百萬然後
transcript.whisperx[363].start 10259.707
transcript.whisperx[363].end 10274.228
transcript.whisperx[363].text 經同意之後才能解凍鼻味管事實上放久了會容易產生鼻竇炎甚至於中耳炎這是事實然後晚上會引起嘔吐吸入性都會有
transcript.whisperx[364].start 10275.43
transcript.whisperx[364].end 10301.641
transcript.whisperx[364].text 所以 但是 換遍好管理 管管理就好如果用主角的事真的要花很多時間都要找老闆那對照顧的人也要花很多時間所以大家都貪圖換遍所以這個今天講的問題是非常非常好非常重要好 第88案88案是由黃相永所提案 遵照辦理89案
transcript.whisperx[365].start 10303.7
transcript.whisperx[365].end 10332.615
transcript.whisperx[365].text 八十九案謝謝我們陳經惠委員同意修改文字以後遵照辦理九十案謝謝陳經惠委員我們遵照辦理九十一案九十一案謝謝陳經惠委員同意我們修正文字已經簽名那我們遵照辦理九十二案九十二案林玉琴委員提案我們遵照辦理九十三案謝謝陳經惠委員也修正文字已簽名好九十四案謝謝陳經惠委員遵照辦理好
transcript.whisperx[366].start 10333.41
transcript.whisperx[366].end 10339.437
transcript.whisperx[366].text 好那我們現在休息六分鐘休息後繼續第二輪剩下九個案齁等一下我們要趕完了
transcript.whisperx[367].start 10354.719
transcript.whisperx[367].end 10356.6
transcript.whisperx[367].text 謝謝大家
transcript.whisperx[368].start 10379.371
transcript.whisperx[368].end 10379.892
transcript.whisperx[368].text 晚一點在這裡講
transcript.whisperx[369].start 10406.254
transcript.whisperx[369].end 10412.227
transcript.whisperx[369].text 謝謝觀賞
transcript.whisperx[370].start 10487.233
transcript.whisperx[370].end 10487.253
transcript.whisperx[370].text 應該會應該啦
transcript.whisperx[371].start 11219.667
transcript.whisperx[371].end 11221.668
transcript.whisperx[371].text 好 我們現在繼續開會第二輪繼續審查來 第三案陳昭珠委員第三案出國加拿大是啊就是說我首先要跟執行長講的以後不要再講部立醫院好嗎因為部不會有立的醫院你們先證明你們算是國立醫院
transcript.whisperx[372].start 11247.225
transcript.whisperx[372].end 11259.803
transcript.whisperx[372].text 只有市立縣立醫院沒有哪個機構有個立的醫院第一個那國立醫院代表什麼很重要國家26家醫院是在這個醫福會在管理那在去年5月我就質詢了就是當時那個
transcript.whisperx[373].start 11262.427
transcript.whisperx[373].end 11266.55
transcript.whisperx[373].text 我家這個桃園醫院院長懸缺那時候懸缺22個月那我執行的時候薛部長立刻第一秒就跟我說應該要無縫接軌結果這件事執行長你知道最後是多久才補上這個院長嗎這個缺是很多人才很多人想要不是找不上下找不到人的醫院結果你放了26個月對不對最後才補上這個人這件事情醫福會難道不用負最大責任嗎
transcript.whisperx[374].start 11292.527
transcript.whisperx[374].end 11294.168
transcript.whisperx[374].text 一個醫院沒有院長是代理的大家人心惶惶不知道會怎麼樣代理院長能做什麼那這件事已經八九個月了為什麼現在還繼續出現呢執行長為什麼現在還繼續出現呢現在還有很多家醫院是沒有無縫接軌是空的空在那裡等這是第一個我要談的
transcript.whisperx[375].start 11314.01
transcript.whisperx[375].end 11327.617
transcript.whisperx[375].text 那這樣就是我認為是管理這管理的問題就是你要在國內把26家國家醫院管理好這是最基本的工作還有請不要在你們的院長群組裡面亂講說委員三不一的醫院的預算我從來疼惜26家國家醫院不會刪他們的預算最重要是我在管理單位我會做要求
transcript.whisperx[376].start 11338.763
transcript.whisperx[376].end 11349.411
transcript.whisperx[376].text 管理衣服會管理是非常重要的好重點在這裡請不要散播謠言這個就是很不應該那你訂出國經費這個都是奪人的納稅錢那該去的我也覺得合情合理但是如果你不是主責那個項目為什麼要出國呢動不動每次出國都要二三十萬的這個預算那這樣你還不如把錢留給部一
transcript.whisperx[377].start 11362.882
transcript.whisperx[377].end 11372.892
transcript.whisperx[377].text 對不對這樣子更合理啊所以老實說啊這裡面有幾項我都有去研究我都有研究第一個ISQA國際健康照護品質協會年會啊跟醫院管理不相關啊為什麼年年都要參加為什麼啊決算金額上次是26萬
transcript.whisperx[378].start 11380.72
transcript.whisperx[378].end 11404.737
transcript.whisperx[378].text 美国公共卫生协会年会跟医院管理无关过去年年都参加实质效益决算金额也是三十几万世界医院大会我觉得这个OK世界医院大会是IHF但是我要了解就是已经都知道了实际召开时间几天哪个国家为什么要编那么多的经费这个都是必要的
transcript.whisperx[379].start 11407.089
transcript.whisperx[379].end 11428.319
transcript.whisperx[379].text 長照機構的考察是長照室的範圍跟醫院管理有什麼關係另外還有一個考察智能醫療國內有很多家醫學中心可以考察台中總統就做得非常好連賴總統都去看過了那為什麼需要考察那時候去美國的HIMSS決算金額又超過30萬所以我的意思是說如果你把26家國家的醫院管理好
transcript.whisperx[380].start 11436.124
transcript.whisperx[380].end 11444.212
transcript.whisperx[380].text 我只要跟你講你不要以為只有個別的很多人很多不同的醫院的正副院長也都會有跟我反映一些事實所以第一個就是說把正副院長缺有缺的部長你也要聽這件事情
transcript.whisperx[381].start 11456.061
transcript.whisperx[381].end 11462.745
transcript.whisperx[381].text 他有缺都是預期的啊他不過卸任或是借鈴都是預期的啊為什麼放那麼久等人等誰啊那我們就可以開始做很多猜想啊那個劇本就很複雜了你在等誰啊給誰都都是這樣公器私用嗎這個這個要先做好啊
transcript.whisperx[382].start 11476.993
transcript.whisperx[382].end 11491.199
transcript.whisperx[382].text 26家這個國家醫院本來就要好好照顧你這個管理就是在衣服會啊啊你居然出國一年出國有時候很多次我記得好像最多還有七八次的然後裡面不相關的很多而且不是有個內規嗎不是規定說三年後才能再去同一家的那個會議嗎那為什麼別人要遵守別的公務員要遵守那執行長不用遵守
transcript.whisperx[383].start 11503.07
transcript.whisperx[383].end 11509.652
transcript.whisperx[383].text 為什麼可以年年去不是三年當中不能去重複的那個會議嗎那這個都要遵守啊而且要相關的啊所以我並不是我一樣一樣去了解我並不是不讓你出國而是說這個旅費要用的正當明目正當然後要按照你自己設的規律規範然後要把你分類的工作做好然後才去出國考察那些考察很多都是可以再討論的啊考察的內容跟項目跟這個會議內容都可以討論的啊好請指揮長說明
transcript.whisperx[384].start 11531.058
transcript.whisperx[384].end 11557.537
transcript.whisperx[384].text 好 謝謝委員的指教那當然這個政府院長的遴選其實我們在這個部分裡面那最近的草屯那還有苗栗都有已經公告已經有當選的人選了那當後續就是說為什麼有些時間delay因為我們要找一些我們的口試的委員那因為口試的委員在這個時間裡面大家要都要超過我們法定的人數所以那個時間稍微有一點等一下等一下 執行長你又來了
transcript.whisperx[385].start 11559.658
transcript.whisperx[385].end 11564.16
transcript.whisperx[385].text 這個都是預先知道的口試委員大家搶著做權力很大搶著做不要跟我說找不到口試委員誰不想去評選那個衛福部正副院長的那個這個人選的評選啊怎麼會找不到口試委員呢搞不好一票幾百個幾千個想要去做這個工作不會的不要跟我說找不到因為你是預期我一直講預期的嘛預期的嘛
transcript.whisperx[386].start 11585.487
transcript.whisperx[386].end 11593.011
transcript.whisperx[386].text 除非有一個非常意外的事情發生他是預期的嘛卸任時間都預期的嘛你當然到最後才找你放著不找你當然就會這樣講等一個委員嗎那個委員有關鍵嗎大法官我們都不能要求全員出席啦
transcript.whisperx[387].start 11599.233
transcript.whisperx[387].end 11603.977
transcript.whisperx[387].text 所以才要制度化 要提前做無縫接軌嘛 邱部長我問你 政府院長 衛福部 政府院長是不是要無縫接軌 要不要空著 空著等 等誰
transcript.whisperx[388].start 11621.662
transcript.whisperx[388].end 11639.214
transcript.whisperx[388].text 我們報告一下,像我一上任,馬上部立桃園醫院就增補,就增選嘛,所以...為瀑布桃園醫院啦,它不是立啦好啦,沒關係啦,你說國立的,它有國家的責任,我們當然要部立醫院要盡到國家的責任,所以變成國立的想法是對的啦
transcript.whisperx[389].start 11648.174
transcript.whisperx[389].end 11662.649
transcript.whisperx[389].text 絕對 我絕對不容許有delay的問題 但是在...那發生啊 我都有統計數字啦沒關係 那個就是說幾乎...半年是起碼的啊而且第一個 我們的委員都是絕對得高望重
transcript.whisperx[390].start 11664.671
transcript.whisperx[390].end 11680.541
transcript.whisperx[390].text 應該都是算他說找不到啊沒有辦法出事啊沒有辦法找啊我們出的都一定是醫學中心營養還是做營養給醫生的絕對都是挑戰第二個我們絕對沒有去做任何的
transcript.whisperx[391].start 11681.771
transcript.whisperx[391].end 11691.921
transcript.whisperx[391].text 我想執行長也很清楚那就是無縫接軌你同意嗎有發生過啊台北醫院好幾家醫院都是無縫接軌啊馬上都準備好了一下就放進去了好多家已經有例子啊因為要一步一步來嘛有的可以有的不可以 或者怪怪的 答問號啊
transcript.whisperx[392].start 11705.683
transcript.whisperx[392].end 11722.611
transcript.whisperx[392].text 我們不需要去等人等誰我完全沒有這種理由啊發生了啊桃園醫院發生了等了26個月才補人啊桃園醫院最肥的醫院最有潛力的醫院桃園醫院在我們5203年以後沒多久就處理了所以
transcript.whisperx[393].start 11725.052
transcript.whisperx[393].end 11737.349
transcript.whisperx[393].text 所以大概都有在處理這個放心齁沒有我逼著才去把你選公告我不敢講說百分之百有辦法馬上那你回答我一個原則是不是要無縫接軌院長是不是要無縫接軌一個醫院的院長是不是要無縫接軌
transcript.whisperx[394].start 11739.082
transcript.whisperx[394].end 11764.42
transcript.whisperx[394].text 一定是盡量無妨這一回嘛盡量無妨 我們會朝這個目標來努力但是任期到了是不是都知道考評過不過是不是都知道卸任是不是都知道我們會知道 你都會知道嘛我們會公告要制度嘛對 公告 那有一個公告的日期至少兩個月前就要做啦對 願意報名的這些有資格的他就提他的這個據我瞭解有些人你們電話還叫他說你不要來報名了我們已經有內定人選了
transcript.whisperx[395].start 11765.44
transcript.whisperx[395].end 11784.753
transcript.whisperx[395].text 這個我聽太久了我聽了二十年一二十年但是這一年絕對不可能發生不能再發生了不可能發生不要讓我聽到任何人說我要報名他們叫我不用來報名我不能接受任何說什麼我完全是很公平公正為我們國家的醫院造型最好的
transcript.whisperx[396].start 11785.353
transcript.whisperx[396].end 11793.304
transcript.whisperx[396].text 最好的人才所以我的意思是說那些東西當然另外那是另外出的行政就讓他來檢討你屆期到了會知道會空缺出來你多久前要準備好啊為什麼讓這個國家的意願空在那裡等人
transcript.whisperx[397].start 11802.996
transcript.whisperx[397].end 11828.073
transcript.whisperx[397].text 等某一個人他已經發聲了跟委員報告就是因為我們這個完了以後會經過人事的一個考評這個資格所以你要提前啊然後後面就最後就是說我們會有經過我們的所謂的邀請我們的考試委員那考試委員就會比對時間那我們裡面有個規定就是遴選辦法裡面二分之一的委員要出席然後三分之二的委員要同意那你為什麼有的院辦得到有的院辦不到
transcript.whisperx[398].start 11828.813
transcript.whisperx[398].end 11848.823
transcript.whisperx[398].text 你也要背著委員啊沒有這種事情我們會把這個建立制度會提早再作業這個已經歷史這麼悠久了現在才說要建立制度政府院長這麼重要的職缺有一些人士還是說在這個部分因為有些要走的流程會讓整個理事會更正更開所以才要制度化要提前準備嘛
transcript.whisperx[399].start 11850.483
transcript.whisperx[399].end 11858.006
transcript.whisperx[399].text 所以才要制度提前準備嘛就是要讓他卸任的時候你就補上去嘛我就在講同一個重點啊我從頭到尾都講同一個重點啊無縫結果我從來沒有介入任何一個人事案你用領選辦法公開領選辦法然後你就是領選然後按照領選結果來做部長做定奪
transcript.whisperx[400].start 11868.55
transcript.whisperx[400].end 11884.44
transcript.whisperx[400].text 我就是這樣啊 就是請你們趕快補上啊部長在這個部分 其實剛剛委員關係 比如說桃園以上那個我們最近的 剛剛講的草屯 然後苗栗都已經補上那比如這個岐山醫院 我們現在就是要找委員的時間我們會在盡快裡面回來做遴選
transcript.whisperx[401].start 11888.406
transcript.whisperx[401].end 11905.499
transcript.whisperx[401].text 委員你要準備好啊不是說委員幾個不能來你就停住了難道有特定的委員不能來你就不開會了嗎在委員有一個委員庫啦也不是說對啊委員庫啊所以怎麼可能都不能來委員庫差不多二三十個了是啊二三十個了他們在找可能不可能都不能來啦
transcript.whisperx[402].start 11906.42
transcript.whisperx[402].end 11932.848
transcript.whisperx[402].text 也是有點頭痛因為這幾個都是很忙那所以要的確要找人不要用委員忙這個東西不要用這個啦委員會再參加多少一輩子二十幾歲我就參加委員了請叫陳委員講那個原則你們寫個主結一出來嘛可以吧就是不要delay就是不要空中擠因為如果你這個東西沒有做好你出國的次數太高會不相關的我自然就會覺得這是你要把本務做好嘛
transcript.whisperx[403].start 11933.288
transcript.whisperx[403].end 11947.615
transcript.whisperx[403].text 那我剛剛也是說啊如果世界醫療我就OK啊你只要把它說明清楚那有一些不相關的其實有很多其他的人會去看這個可能要說明一下比如說為什麼公共衛生對我再說明一下然後年年去對嗎不是有規範嗎三年不能去啊醫護會裡面不只醫療啦也有安養的社福的社福的嘛所以
transcript.whisperx[404].start 11954.258
transcript.whisperx[404].end 11958.843
transcript.whisperx[404].text 那就其他的人可以去啊長照師就長照師去啊跟委員報告ISQA就是國際的醫療品質的會議他是我們醫測會在訂醫院評鑑的指標那醫測會去啊 就醫測會去啊他會邀各個醫院的層級都會一起參加醫測會去啊 不要執行長這麼辛苦啊
transcript.whisperx[405].start 11971.818
transcript.whisperx[405].end 11979.941
transcript.whisperx[405].text 是 他們就會訂比如說要新的年度我們把減碳放入我們的醫院平均的指標所以我們要去學習那請問知事 你說的那三年內不能重複的去開會怎麼辦我們行政局各級所屬機關派員這個編審要點的第三條跟第四款這邊講到的三年是講到考察
transcript.whisperx[406].start 11991.084
transcript.whisperx[406].end 12000.874
transcript.whisperx[406].text 那這個考察是到剛剛講的如果它是同一個地點是不行但如果我們是開國際會議是不在這個部分裡面所以是考察所以我待會把這個要點給委員再參考一下你如果越來越多那個功能性的會議你不越來越多
transcript.whisperx[407].start 12008.902
transcript.whisperx[407].end 12036.876
transcript.whisperx[407].text 就都不能中斷就每年都去然後就增加只會增加不會減少剛剛提到的那個APHA那個美國公共醫生協會他其實是叫美國的公衛及醫療的這個會議他其實裡面的場次是有50多個場次那裡面辦所謂的醫院管理或者說在clinical的這個部分裡面是超過200個這個topic啦所以包含我們的leadership裡面也有大概43個場次所以都是在我們的醫院管理非常重要要去學習
transcript.whisperx[408].start 12037.276
transcript.whisperx[408].end 12057.222
transcript.whisperx[408].text 我其實是說你內部26家國立醫院要先把它的事情做好我光看到正副院長的臨選可以這樣子公器私用而且裡面問題一大堆那你說我怎麼會覺得說會支持或贊成說不相關我支持不相關的會議可能也是派其他人去是更適當的
transcript.whisperx[409].start 12059.139
transcript.whisperx[409].end 12082.85
transcript.whisperx[409].text 這個部份我當然要更關注啊你要留在國內好好的把這些事情做好啊委員關心的這個部份那個院長會長林顯為什麼有時候會稍微所以這個要報告第一家第一名醫院兩年多才補院長你說哪一家桃園醫院2020年7月一直到去年的8月才補到
transcript.whisperx[410].start 12084.195
transcript.whisperx[410].end 12101.325
transcript.whisperx[410].text 你看我們效益還蠻高的我們兩年耶就馬上兩個月就補上優秀的人才你不肯蓋瓜承受喔主席他不肯蓋瓜承受我在講衛福部他說只算他上任的不是啦所以說我們來所謂蓋瓜承受就是要解決問題啊所以我們已經解決問題了嘛現在也我現在還有好幾家醫院不會啦如果有任何一家醫院有
transcript.whisperx[411].start 12109.89
transcript.whisperx[411].end 12113.632
transcript.whisperx[411].text 慢的話我們都要解釋就不能再發售了啦其實我們現在都已經安排時間在座的人應該聽不懂嗎國家的醫院你鄭副院長出缺
transcript.whisperx[412].start 12121.328
transcript.whisperx[412].end 12132.4
transcript.whisperx[412].text 你在等什麼你之前兩個月借零借滿你們都有任期的規定規範嘛這都知道了為什麼不事先做不要跟我說委員不能來開會有空沒有空來開會這個說不過去啦我們會的提報告我們會的提報告
transcript.whisperx[413].start 12141.79
transcript.whisperx[413].end 12156.181
transcript.whisperx[413].text 可能要分 看誰是最適合去的那不一定都要主席自己去啦主席這樣也很辛苦你不要經常去啦 你有我幫你去的啦我們都會簽報部長啦然後經過人事會計 這個部分是我們當然都是按照規定 只是說人才的培育也是很重要的不一定 你也沒有要每天都自己來對不對 你所有人會互惠 不只你自己來
transcript.whisperx[414].start 12174.455
transcript.whisperx[414].end 12184.642
transcript.whisperx[414].text 所以你沒有串供那個落跑的嫌疑,這個就是說我國內的事情先把它做好,內部的事情做好,你看現在要怎麼處理,范執行長你怎麼建議
transcript.whisperx[415].start 12188.561
transcript.whisperx[415].end 12190.002
transcript.whisperx[415].text 我去年五月就執行,沒有人管我啦
transcript.whisperx[416].start 12205.117
transcript.whisperx[416].end 12227.142
transcript.whisperx[416].text 那時候是薛部長啦 他都沒人插話啦但是你們都在聽啦 國會頻道你們都在監聽啦這麼重要的事情 媒體又有洩露啦都沒人插話啦 都不重要逼著我倒預算的時候才來處理我建議齁 現在這是要出國考察要去參加ISQA 什麼這些有些不像相關的 連連去不行啦也不能連連去啦這也很重要啦 說實在的重要 但是看誰要去啊誰也要去啊
transcript.whisperx[417].start 12234.872
transcript.whisperx[417].end 12255.51
transcript.whisperx[417].text 跟醫院管理無關的啊沒有啦 世界醫院大會我就覺得OK啊因為還在管理醫院啊 我也覺得OK啊你也把費用稍微講一下因為你就知道行程哪個國家嘛大概幾天 我們就知道要合理的預算嘛
transcript.whisperx[418].start 12257.284
transcript.whisperx[418].end 12279.615
transcript.whisperx[418].text 好啦,你給董20萬啦,我給他報告啦他在執行,你都沒給他回答,這樣不對啦他就放著不管啦,而且事實就發生了啊好,我們會指導委員的這個辦理沒有啦,什麼意思什麼意思,那主席,現在你的意思是要我遵照主席決心給董姐20萬,然後請董姐多少錢20萬
transcript.whisperx[419].start 12284.906
transcript.whisperx[419].end 12285.61
transcript.whisperx[419].text 這個是謝謝總共那一半要八萬而已
transcript.whisperx[420].start 12287.932
transcript.whisperx[420].end 12290.934
transcript.whisperx[420].text 沒有啦 這是累積很久的啦這是累積很久的啦
transcript.whisperx[421].start 12318.312
transcript.whisperx[421].end 12346.709
transcript.whisperx[421].text 就是跟他賺20萬 叫他來跟他報告報告到料貸可以解凍這樣好不好 這樣可以啦50萬 你剛剛說50萬20 我從頭到尾都說20 我沒說到50他不要每次都去啦 是是是執行長每次去 因為接把我要求的部分我們的副局長跟我們的主管也都有去啦國家醫院 不是接我去
transcript.whisperx[422].start 12347.709
transcript.whisperx[422].end 12349.77
transcript.whisperx[422].text 這凍結20萬然後怎麼管理中心來跟你報告
transcript.whisperx[423].start 12366.135
transcript.whisperx[423].end 12368.616
transcript.whisperx[423].text 然後報告的結果也報告給委員會然後同意之後使得動之
transcript.whisperx[424].start 12381.984
transcript.whisperx[424].end 12397.549
transcript.whisperx[424].text 好 謝謝委員執行長 我要求的就是一個制度問題如果今天制度沒有發生這個問題我也不會處理到這個細節啦那 好啊 趙偉我又我又賣你面子 遵照趙偉指示謝謝委員 今天就沒補充他不給我面子咧好 來來 第14案
transcript.whisperx[425].start 12411.321
transcript.whisperx[425].end 12427.216
transcript.whisperx[425].text 第14案這個是陳昭志委員這邊特別關心我們那個藥品的審查案件的進度可以公開啦那我們目前的這個設計上是只有廠商申請的廠商可以查詢
transcript.whisperx[426].start 12428.197
transcript.whisperx[426].end 12450.871
transcript.whisperx[426].text 那這個陳委員是希望也能夠讓民眾大家也都能夠看得到那我們很認同這樣的概念所以我們朝這個方向來努力開過一次會了那我們接下來我們再詢問各個這個藥商的這個工協會團體如果沒有什麼反對意見我們就會來進行公開反對也要進行啊
transcript.whisperx[427].start 12451.631
transcript.whisperx[427].end 12459.58
transcript.whisperx[427].text 反對我們會看他反對的理由如果有違反到比如說一些商業機密的問題我現在只是基本的進度大家都看病人都在看這個藥為什麼等這麼久我的統計數字你們不敢採用但是AIT等等他們都採用我的統計數字
transcript.whisperx[428].start 12468.59
transcript.whisperx[428].end 12490.799
transcript.whisperx[428].text 你一個平均一個癌藥你就是要等兩三年那病人就是等到沒有機會用啦那你到底進度到什麼程度你現在是在申請作業階段還是說在溢價階段我也沒有說溢價是你們的時間是你們的大家都可以算廠商也有責任喔這個是解讀問題但是你要知道我現在這個心要跑到哪裡所以大家都說癌藥用不到啊用不到癌藥
transcript.whisperx[429].start 12491.36
transcript.whisperx[429].end 12506.622
transcript.whisperx[429].text 跟委員報告我們去年整個新增的癌藥跟這個擴充給付是達到63項是歷年最高的而且影響的預算超過100億癌藥的部分而已
transcript.whisperx[430].start 12507.463
transcript.whisperx[430].end 12535.516
transcript.whisperx[430].text 所以我們前年是58案去年是63案我們一直在努力增加我知道你很努力也加速了因為委員開會的頻率增加了花了很多時間去開會但是最重要的是如果你跟其他的國家比你還是很慢我知道我們癌病癌藥的存活率輸人家添添輸韓國添添輸10%穿很多繼續命繼續命他是用癌藥比喻也不是說只有癌藥的部分所以要公開透明是最好但透明我沒有說要機密
transcript.whisperx[431].start 12536.797
transcript.whisperx[431].end 12539.365
transcript.whisperx[431].text 我沒有說他要多少錢反正沒有啊進度進度
transcript.whisperx[432].start 12541.944
transcript.whisperx[432].end 12564.819
transcript.whisperx[432].text 因為你醫療的部分 醫療項目你就做到啦為什麼醫療項目就做到 為什麼這個地方做不到好 我知道你的意思 我們也很認同我們溝通完之後是朝這個方向來做我們講好多年了耶 真的嗎 署長你真的要做嗎你真的肯做嗎 我們講好多當然你還沒有當署長 我就開始講對啦 我知道 未來兩年嘛 我會把一些事情來搞完整這個我們會來朝這個方向
transcript.whisperx[433].start 12569.728
transcript.whisperx[433].end 12583.759
transcript.whisperx[433].text 你今天可以跟全國的病友團體等待新藥的病友團體承諾嗎所以你會讓他知道他們所要等待的新藥大概現在進度在哪裡就是朝這個審查案件的進度公開透明我們朝這個這個方向來執行這樣
transcript.whisperx[434].start 12588.437
transcript.whisperx[434].end 12603.655
transcript.whisperx[434].text 我們會先讓公協會都表示意見因為我們整個程序上還是應該公開透明所以要公開的內容什麼都要讓大家確認清楚然後我們就公開我們現在不是要公開機密也沒有說他申請多少錢要還多少錢
transcript.whisperx[435].start 12609.501
transcript.whisperx[435].end 12631.858
transcript.whisperx[435].text 還多少錢給衛福部沒有進度這個要申請了現在大家等著看那個新藥要用現在在什麼階段在什麼階段在什麼階段準備什麼階段就這樣啊對就是我們會公開的就是說我們會先跟藥商他們了解就是什麼時候送件的我們什麼時候受理因為中間還有行政審查補件什麼什麼時候進專家會議什麼時候
transcript.whisperx[436].start 12636.161
transcript.whisperx[436].end 12640.543
transcript.whisperx[436].text 還在協商議價然後什麼時候供你會議然後通過結果可能還是沒有同意供你會通過結果還是沒有辦法執行他到哪裡了我們做這個方面的公開就這樣啊沒有機密啊不要老是做機密啊
transcript.whisperx[437].start 12652.247
transcript.whisperx[437].end 12671.807
transcript.whisperx[437].text 你每次都說那個霸凌調查有機密哪來的機密我從來沒有講過任何機密啊被訪人沒有啊幾份人其實說了什麼事情沒有機密啊完全沒有機密為什麼要徵求他們同意沒有機密啊這個還是一個公開因為我們要公開的這些內容還是要讓大家確認讓大家不要擔心啦
transcript.whisperx[438].start 12673.109
transcript.whisperx[438].end 12690.025
transcript.whisperx[438].text 主題是這樣說我們公開的這樣的內容大家OK不OK如果都沒有意見沒有特別的考量了我們還是採用公開透明的程序啦不能說我要做什麼就做什麼這樣也不好啊沒有啦 保證你 署長我先把你關起來
transcript.whisperx[439].start 12692.826
transcript.whisperx[439].end 12715.622
transcript.whisperx[439].text 我們沒辦法做什麼就做什麼啦我們還是要跟大家先溝通過所以給我們一點時間我這裡公開說新藥為什麼會那麼慢啦就是錢要砍滴滴啦那病人數都不全給啦就是限制限制不人道的限制啦你只能限制幾個月啦要多少錢然後我只照顧多少人啦然後到最後終身折衣使用這個不人道不符合國際指引的事都出來都在那邊處理啦處理到病人都
transcript.whisperx[440].start 12717.884
transcript.whisperx[440].end 12724.87
transcript.whisperx[440].text 我們去年就已經擴充那個癌藥的擴充幾戶33項我今年二月就任期滿30年我太清楚了那個時間點沒有機密沒有機密我們要求公開要求公開你現在跟病友講說不一樣可以啦可以啦你就這樣跟病友轉檔
transcript.whisperx[441].start 12740.583
transcript.whisperx[441].end 12745.988
transcript.whisperx[441].text 跟剛才那個連檢劑有說過嗎對一百萬三個月內這樣是一百萬嗎這樣給時間長一點點對三個月因為我們中間又過年嘛徵詢之後正式會議確認之後我們就上
transcript.whisperx[442].start 12759.162
transcript.whisperx[442].end 12775.892
transcript.whisperx[442].text 就比照醫療服務項目這個審查的進度是藥署某個程度審查的進度也都是公開的可以齁署長你這是真的公開答應我了我公開答應你但是我要程序啦我認為方向上朝這個地方朝這個方向是可行啦
transcript.whisperx[443].start 12776.812
transcript.whisperx[443].end 12782.541
transcript.whisperx[443].text 好啦謝謝署長我現在你日理千機啦所以我知道但是這個是很重要啦好第14案凍結100萬三個月內跟陳委員報告也給委員會報告
transcript.whisperx[444].start 12792.628
transcript.whisperx[444].end 12818.788
transcript.whisperx[444].text 二十七案二十七案的部分的話有跟劉委員溝通劉委員現場希望能夠表達一些意見那我們希望劉委員能夠同意就是做一些修改改動一百萬然後於三個月內交書面報告以上那這個這個我一定給你三個啦動一百是別委員的意見因為其實
transcript.whisperx[445].start 12820.402
transcript.whisperx[445].end 12848.438
transcript.whisperx[445].text 這偏鄉沒有壓抑的部分講很久了然後我們又被排在這個第二期我就覺得已經很有道理了那這中間又卡了很多事情我就不再贅述這部長都非常清楚那到現在還是一樣還沒有辦法正式實施啊你議期當時要是什麼你要等到什麼時候我們就是依照行政院的指示我們現在在去年的12月30號已經報行政院新的計畫
transcript.whisperx[446].start 12849.398
transcript.whisperx[446].end 12871.077
transcript.whisperx[446].text 那現在計畫希望因為他現在已經在國發會審查當中我們希望能夠盡快能夠實施在今年開始實施等行政院核定之後那今年什麼時候會核定我也不曉得嘛對不對是我們現在在國發會審查當中你看一期什麼時候就開始實施了一期啊你不是第一期啊
transcript.whisperx[447].start 12871.536
transcript.whisperx[447].end 12894.598
transcript.whisperx[447].text 第一期的話是110年左右然後到113年對啊那我們現在我們這個偏鄉沒有牙醫的像運線不是只有一個鄉而已對不對兩個鄉然後人口數都超過兩萬五千多到現在還沒有然後你還把它排在第二期
transcript.whisperx[448].start 12895.519
transcript.whisperx[448].end 12915.579
transcript.whisperx[448].text 當然這不是怪你啦不是怪你我是覺得這樣啦這個也請部長重視這個事情啦對不對這個有些偏鄉的醫療的整個資源的分配的先後順序然後為什麼這個會排在二期而且是隔了四年後才排入的
transcript.whisperx[449].start 12918.232
transcript.whisperx[449].end 12931.911
transcript.whisperx[449].text 這當時的當時你還沒有當部長嘛對不對這個我很清楚不過那個時候為什麼是這樣的一個安排然後我們有一直在講喔有一直在提醒那後來就是因為某種一些因素一直delay一直delay嘛
transcript.whisperx[450].start 12933.186
transcript.whisperx[450].end 12951.174
transcript.whisperx[450].text 我補充一下第一期其實在處理的會是說公費醫師然後在留任的公費醫師所以主要是以西醫師為主然後經過四年之後其實是做重新的檢討就發現了剛剛劉委員在講的牙醫這邊必須要重新的做一些擴充然後把那個資源補齊
transcript.whisperx[451].start 12952.495
transcript.whisperx[451].end 12975.215
transcript.whisperx[451].text 而不是是說我覺得這是因為政策管中是修正也發現了缺陷然後那這部分的話口腔電腦是這邊已經在去年的年底的時候已經送到行政院這邊然後那我們兩邊會積極的再去問一下國發會可不可以盡快的一個把成他的結果讓我們做讓今年度就能夠實施第二期的部分以上
transcript.whisperx[452].start 12979.875
transcript.whisperx[452].end 12984.859
transcript.whisperx[452].text 好了好了 併動了 併動了謝謝委員還是要經過那個委員會同意 說明報告經同業時等動之動100好第27案動100然後報委員會同意後才得動之好32案 32案
transcript.whisperx[453].start 13008.239
transcript.whisperx[453].end 13031.977
transcript.whisperx[453].text 30萬謝謝劉委員劉委員對於我們焦味煙的一個狀況那對管制這些添加物那論而我們在一年多裡面還沒辦法公告那跟委員報告一下因為這個我們在預告裡面來講那麼大家的意見非常的分歧而且也非常的多總共我們收到的一萬多則那其中包括這些添加物的品項內容還有
transcript.whisperx[454].start 13034.443
transcript.whisperx[454].end 13056.68
transcript.whisperx[454].text 後衛的一個限量等等還有緩衝局後面等等相關的意見非常多所以我們目前在召開任何專家會議那我們會儘速來做後續的行政程序以後來後續公告好就同意他這邊有寫了嘛就上個月內向李偉燕的未緩提出這個說明報告是謝謝委員好謝謝好那
transcript.whisperx[455].start 13069.153
transcript.whisperx[455].end 13080.115
transcript.whisperx[455].text 所以你的結論我多說了啊董...董...沒有啦,不敢動啦改組決議,對啦,改組決議好,那個三十案剛剛沒有宣告三十案,王一平的案子凍結兩百萬嘛我覺得沒錯吧來,四十八
transcript.whisperx[456].start 13095.017
transcript.whisperx[456].end 13112.363
transcript.whisperx[456].text 謝謝劉委員關心劉委員根據我們那個國民營養調查最新的2023的調查報告那也看得出來說糖尿病的發生率逐漸有在增加甚至於年輕化的一個狀況那也跟委員報告那這個部分其實我們也注意得到所以在
transcript.whisperx[457].start 13113.533
transcript.whisperx[457].end 13142.375
transcript.whisperx[457].text 我這兩年裡面先推出代謝政府的管理就是希望能夠解決後續的還沒有進到疾病之前的一些預防跟健康促進的一些政策新年把這個承建的年齡下修到30歲其實也是希望能夠及早發現相關危險或有風險的或是檢查的素質有異常的能夠儘早找出來以後儘早去介入那這目的其實就是在控制希望未來的
transcript.whisperx[458].start 13143.596
transcript.whisperx[458].end 13153.57
transcript.whisperx[458].text 談到邊也好 高血壓 性血管 即便以後都能夠得到一個完整的一個控制所以也跟委員這邊做報告跟說明非常謝謝委員的一個關心
transcript.whisperx[459].start 13155.253
transcript.whisperx[459].end 13178.528
transcript.whisperx[459].text 不是 市長 你是把這個調查的年齡往下是不是不是 這個調查是一年多這樣子 每四年調查一次 對那這一次我們 剛剛委員看到的是發現說我們20歲的這個台南的病人控制上來講有一些稍微高點甚至於說台灣的勝選率都比日本跟韓國 香港來臨近的地方還來得高
transcript.whisperx[460].start 13183.674
transcript.whisperx[460].end 13184.459
transcript.whisperx[460].text 也就是說現在的這種
transcript.whisperx[461].start 13187.707
transcript.whisperx[461].end 13213.644
transcript.whisperx[461].text 這種糖尿病的年齡層一直在下降啦下降有這個趨勢我們也看得到所以我們代謝症候群就從20歲開始索案做管理那郭委員報告我們兩年裡面來講以113年為例的話我們已經索案到29萬多將近30萬那其中有20%的人那因為有代謝症候群的症狀以後經過索案管理以後大概有20%能夠恢復到健康的情況
transcript.whisperx[462].start 13214.284
transcript.whisperx[462].end 13225.292
transcript.whisperx[462].text 所以我們這個給我們未來整體慢性病的控制有很大的信心所以我們今年也把這個成人醫療保健下修到30歲就是能夠及早發現這些有異常的個案20%有點低吧
transcript.whisperx[463].start 13231.299
transcript.whisperx[463].end 13249.536
transcript.whisperx[463].text 以國際上來講大概都是15到16%左右可以逆轉就是說他還沒有進到疾病的時候但是我們那個計畫做出來以後看到我們要計程非常的認真所以我們大概佔了百分之二十可以逆轉那百分之八十七他是有控制所以我們會覺得那個計畫對我們來講非常有信心
transcript.whisperx[464].start 13252.199
transcript.whisperx[464].end 13266.713
transcript.whisperx[464].text 那麥信片做得好,剛剛委員所關心的,我們未來的醫療長照的費用的話,可能就會得到相當好的控制,甚至於不健康移民的一個縮短。對啊,對啊。我不給你3啦,好不好。好,謝謝。改動100啦。
transcript.whisperx[465].start 13269.035
transcript.whisperx[465].end 13288.593
transcript.whisperx[465].text 我們是動200,改動100嘛,然後你提出相關的一些進展的報告,再動之啦沒問題,謝謝,謝謝委員改動100,提出一份報告,經同友使得動之好,48案我們改動100萬,我們會報告同友使得動之50案
transcript.whisperx[466].start 13292.389
transcript.whisperx[466].end 13314.719
transcript.whisperx[466].text 好謝謝劉委員的關心劉委員也看到說我們長期對於回放的問題的預防那麼要看到非常好的成效的確跟委員包括我們18歲以上的成人的這個回放率其實的確是在上升當中那兒童的回放也的確有上升的趨勢所以的話我們未來從今年開始
transcript.whisperx[467].start 13315.619
transcript.whisperx[467].end 13340.067
transcript.whisperx[467].text 我們推動的是前年齡的一個健康生活型態的一個預防包括回胖、運動、營養所以我們在社區裡面有大量的佈置那跟未來的體育部、體育運動部那有相關的一些培養我們所有全國國連的一個全人運動的一個相關的一些計畫那另外就是千年營養的一個照顧
transcript.whisperx[468].start 13341.827
transcript.whisperx[468].end 13367.823
transcript.whisperx[468].text 目前全國大概有114位營養師有70個點我也希望全國368個像這多能夠有營養師的一個幫忙跟協助所以我們逐年希望台灣至少有390位以上的營養師今年度我們希望能夠達到190個營養師的服務希望把營養運動健康能夠帶到我們所有的民眾的身上
transcript.whisperx[469].start 13370.253
transcript.whisperx[469].end 13399.007
transcript.whisperx[469].text 好 謝謝署長謝謝偏遠地區的營養師要優先部署吧是的是的所以改動100啦然後提出書面報告後 經過同意和實的動之好 謝謝委員謝謝好 凍結100萬委員會報告實的動之來 71案71案 也謝謝劉委員剛才跟劉委員做過報告和說明那委員剛才有同意那改
transcript.whisperx[470].start 13400.688
transcript.whisperx[470].end 13422.18
transcript.whisperx[470].text 從刪減的部分改為凍結50萬元那同時提出相關的書面報告那我們也會依照那個委員的要求就未來宣導還有推展費的部分規劃已經執行來切實來提出相關書面報告以上好71案凍結50萬報告後死者凍屍是好謝謝委員76案陳昭志、趙雅
transcript.whisperx[471].start 13431.718
transcript.whisperx[471].end 13439.481
transcript.whisperx[471].text 那就不再處理,還是動?解凍了解凍了啊?改什麼?請他們說明,他們有
transcript.whisperx[472].start 13455.041
transcript.whisperx[472].end 13474.145
transcript.whisperx[472].text 76案陳委員跟我們是併案嘛併案然後一樣動50嘛對動50萬元就請你把科目自行調整他們報告會提供出來對因為剛剛沒有提76跟78是併案的對併案對謝謝委員好謝謝趙委我沒有跑掉好謝謝感恩好我們76跟78併案凍結50萬然後報告後的動作
transcript.whisperx[473].start 13484.268
transcript.whisperx[473].end 13494.416
transcript.whisperx[473].text 第一案 要求衛生福利部加強督導所屬醫院研磨改善以提升營運績效
transcript.whisperx[474].start 13507.571
transcript.whisperx[474].end 13525.081
transcript.whisperx[474].text 第二案 並提供民眾完善醫療照護品質 原則要求衛生福利部於三個月內向立法院社會福利及衛生環境委員會提出書面報告第四至第六案 衛生福利部於三個月內向立法院社會福利及衛生環境委員會提出書面報告
transcript.whisperx[475].start 13526.181
transcript.whisperx[475].end 13532.768
transcript.whisperx[475].text 第12案刪除凍結數第13案刪除凍結數專案改書面報告第15案刪除凍結數一個月改為三個月專案改為書面報告第20案刪除文字中央健康保險署並將解決對策改為書面報告第23案
transcript.whisperx[476].start 13544.259
transcript.whisperx[476].end 13552.205
transcript.whisperx[476].text 以確保預防接種受害救濟業務之運行並於一個月內提交報告第29案 刪除凍結數 二個月改為三個月第33案 刪除凍結數及末二劇第34案 刪除凍結數專案改為書面報告第35案 要求衛福部於一個月內向立法院社會福利及衛生環境委員會提出無惡手煙傷害政策
transcript.whisperx[477].start 13569.238
transcript.whisperx[477].end 13591.926
transcript.whisperx[477].text 具體方案書面報告第36案刪除凍結數書面報告前面增列陰害防治策略等文字第37案要求衛生福利部於三個月內向立法院社會福利及衛生環境委員會提出陰害防治策略書面報告第38案要求衛生福利部於三個月內向立法院社會福利及衛生環境委員會提出檢討改善書面報告
transcript.whisperx[478].start 13593.727
transcript.whisperx[478].end 13609.432
transcript.whisperx[478].text 第四十案 要求衛生福利部國民健康署於三個月內向立法院社會福利及衛生環境委員會提出戒菸服務推動情形書面報告第四十一案 要求國健署於三個月內向立法院社會福利及衛生環境委員會提出檢討報告
transcript.whisperx[479].start 13610.632
transcript.whisperx[479].end 13625.677
transcript.whisperx[479].text 第44案刪除凍結數與衛福部後面增列於三個月內並修正默劇為向立法院社會福利及衛生環境委員會提出書面報告第45案修正國健署為衛生福利部並修正計劃為支書面報告
transcript.whisperx[480].start 13628.018
transcript.whisperx[480].end 13654.326
transcript.whisperx[480].text 第46案衛生福利部會同國健署就6歲至12歲兒童之口腔預防保健例如減糖策略應積極推行兒童口腔保健工作維護兒童口腔健康第51案原要求衛生福利部於三個月內向立法院針對原民部落及學童等族群提出持續推動健康體位之書面報告第53案
transcript.whisperx[481].start 13655.686
transcript.whisperx[481].end 13661.671
transcript.whisperx[481].text 原國民健康署應強化推廣癌症篩檢重要性並提升篩檢服務量第54案國民健康署應強化推廣癌症篩檢並提升篩檢服務量第55案刪除凍結數一個月改為三個月第56案原衛生福利部應強化推廣癌症篩檢重要性並提升篩檢服務量
transcript.whisperx[482].start 13679.306
transcript.whisperx[482].end 13702.263
transcript.whisperx[482].text 第60案有架空無法確定類別之餘原要求衛生福利部疾病管制署於2個月內向立法院社會福利及衛生環境委員會提出書面報告第61案請衛生福利部持續視疫苗基金裁員逐年就疾病負擔國內流病趨勢疫苗接種成本效益等進行檢視提案ACIP研議評估導入並於2個月內提出書面報告第62案
transcript.whisperx[483].start 13708.727
transcript.whisperx[483].end 13733.012
transcript.whisperx[483].text 要求衛福部確實積極運用各管道推廣宣傳提升國人疫苗接種意願提升國人免疫保護力第64案修正末段手續為針對COVID-19疫苗第65案刪除凍結數專案改為書面報告第66案要求衛生福利部於三個月內向立法院社會福利及衛生環境委員會提交書面報告67及68案刪除凍結數
transcript.whisperx[484].start 13737.622
transcript.whisperx[484].end 13752.698
transcript.whisperx[484].text 第七十案 要求衛福部向立法院社會福利及衛生環境委員會提出書面報告第八十案 刪除凍結數 長期照顧私改為社會及家庭署第八十一案 要求衛生福利部持續健全施治照護服務體系
transcript.whisperx[485].start 13754.54
transcript.whisperx[485].end 13778.212
transcript.whisperx[485].text 並以限期於一個月內向立法院社會福利及衛生環境委員會繳交書面報告第83案要求衛生福利部限期於一個月內向立法院社會福利及衛生環境委員會繳交114年起宣導經費運用規劃及目標之書面報告第84案要求衛生福利部限期於一個月內向立法院社會福利及衛生環境委員會繳交
transcript.whisperx[486].start 13780.033
transcript.whisperx[486].end 13799.43
transcript.whisperx[486].text 測進書面報告 含達成率未達八成之四個縣市第八十九案 提升陽性追蹤之計畫執行方式及成果之書面報告第九十一案 修正國健署為衛生福利部第九十三案 原決議限期一個月內向立法院社會福利集會生環境委員會提交長照財務規劃之書面報告
transcript.whisperx[487].start 13801.812
transcript.whisperx[487].end 13829.02
transcript.whisperx[487].text 第七案要求管制藥品製藥工廠於一個月內向本院提交書面報告第十一案於二星期內提出書面報告第十七案於一個月內提出書面報告第二十六案要求衛生服務部於三個月內提供預期成效書面報告第三十一案
transcript.whisperx[488].start 13830.847
transcript.whisperx[488].end 13856.543
transcript.whisperx[488].text 請國民健康署針對菸害防治宣導成效於三個月內向立法院社會福利及衛生環境委員會提出書面報告第四十三案請衛生福利部於三個月內向立法院社會福利及衛生環境委員會提出書面報告第四十七案要求衛生福利部應積極推動兒童口腔保健
transcript.whisperx[489].start 13857.236
transcript.whisperx[489].end 13868.936
transcript.whisperx[489].text 加強兒童發展篩檢及後續通報轉介服務維護兒童健康第69案要求衛生福利部向本委員會提交書面報告宣讀完畢
transcript.whisperx[490].start 13873.669
transcript.whisperx[490].end 13902.112
transcript.whisperx[490].text 好我們做以下決議第一中華民國114年中央政府總預算案互儲單位預算關於衛生福利部主管預算業餘審查完畢提報院會討論院會討論前需交黨團協商本次會議議事錄授權由主席核定或確定
transcript.whisperx[491].start 13904.025
transcript.whisperx[491].end 13906.727
transcript.whisperx[491].text 本次的會議到此結束 散會
transcript.whisperx[492].start 13925.219
transcript.whisperx[492].end 13953.784
transcript.whisperx[492].text 要不要簽案啊對 是動議百萬啊他要要改文字啊文字要不要先留一下好不好 抱歉抱歉來 文記在這裡來等一下 等一下 再 再不好意思 不好意思因為他有修改文字我回答啦
transcript.whisperx[493].start 13964.741
transcript.whisperx[493].end 13967.684
transcript.whisperx[493].text 第87案,兼此建議凍結500萬元,在
transcript.whisperx[494].start 13985.571
transcript.whisperx[494].end 14000.798
transcript.whisperx[494].text 在衛福部召集長期照顧師、社會及家庭署、護理及健康照護師、中央健康保險署、舊住宿機構內留置移位館人數進行
transcript.whisperx[495].start 14005.801
transcript.whisperx[495].end 14015.139
transcript.whisperx[495].text 進行盤整並於一個月內提供人數及占比,且於三個月內針對上述問題提出改善後
transcript.whisperx[496].start 14019.237
transcript.whisperx[496].end 14037.173
transcript.whisperx[496].text 改善書面 改善計畫書面報告並經同意後此的通知宣讀完畢我補充一下部長這個沒有辦法長照私自己一個單元去處理啦所以還是要衛生部來主導啦來主責啦所以我這邊其實他是補充相關的一些文字其實應該是倒數
transcript.whisperx[497].start 14038.57
transcript.whisperx[497].end 14063.766
transcript.whisperx[497].text 就我的文字倒數這個第四行建請衛福部應該就移除鼻液管之教育訓練強化相關教育訓練課程並研議未來出入型機構就移除鼻液管的相關措施之獎勵機制以達長照體系對於這個移除鼻液管之正確認知與積極的措施保障失能者的自信與尊嚴
transcript.whisperx[498].start 14065.307
transcript.whisperx[498].end 14086.383
transcript.whisperx[498].text 然後後面才是他練的那一段這樣啦好 謝謝好 這樣大家有沒有意見沒有齁那這個補充說明就照劉建國委員的意旨好 我們上位 謝謝謝謝主席 主席英明感動了
transcript.whisperx[499].start 14092.092
transcript.whisperx[499].end 14093.513
transcript.whisperx[499].text 這個就改...這個就改...這個就改...這個就改...
transcript.whisperx[500].start 14119.554
transcript.whisperx[500].end 14123.077
transcript.whisperx[500].text 不過這個就是因為治療JI目前是