IVOD_ID |
16408 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Full/1M/16408 |
日期 |
2024-12-23 |
會議資料.會議代碼 |
委員會-11-2-15-18 |
會議資料.會議代碼:str |
第11屆第2會期內政委員會第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] |
15 |
會議資料.委員會代碼:str[0] |
內政委員會 |
會議資料.標題 |
第11屆第2會期內政委員會第18次全體委員會議 |
影片種類 |
Full |
開始時間 |
2024-12-23T08:30:00+08:00 |
結束時間 |
2024-12-23T15:50:00+08:00 |
影片長度 |
07:20:00 |
支援功能[0] |
ai-transcript |
video_url |
https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/eeffa975d6a1e3eaf4489611fe8f3d296425655b8120616f6d1319bf84c916824f35238da1b7e14b5ea18f28b6918d91.mp4/playlist.m3u8 |
會議時間 |
2024-12-23T09:00:00+08:00 |
會議名稱 |
立法院第11屆第2會期內政委員會第18次全體委員會議(事由:一、繼續審查114年度中央政府總預算案關於內政部國土管理署及所屬、警政署及所屬、消防署及所屬、移民署部分。二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金-營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管特別收入基金-新住民發展基金、國土永續發展基金。【12月23、25、26日三天一次會】) |
委員名稱 |
完整會議 |
委員發言時間 |
08:30:00 - 15:50:00 |
transcript.pyannote[0].speaker |
SPEAKER_17 |
transcript.pyannote[0].start |
2835.87471875 |
transcript.pyannote[0].end |
2836.29659375 |
transcript.pyannote[1].speaker |
SPEAKER_19 |
transcript.pyannote[1].start |
2836.29659375 |
transcript.pyannote[1].end |
2837.49471875 |
transcript.pyannote[2].speaker |
SPEAKER_17 |
transcript.pyannote[2].start |
2837.86596875 |
transcript.pyannote[2].end |
2840.02596875 |
transcript.pyannote[3].speaker |
SPEAKER_08 |
transcript.pyannote[3].start |
2840.73471875 |
transcript.pyannote[3].end |
2843.92409375 |
transcript.pyannote[4].speaker |
SPEAKER_17 |
transcript.pyannote[4].start |
2845.07159375 |
transcript.pyannote[4].end |
2847.28221875 |
transcript.pyannote[5].speaker |
SPEAKER_17 |
transcript.pyannote[5].start |
2847.38346875 |
transcript.pyannote[5].end |
2857.77846875 |
transcript.pyannote[6].speaker |
SPEAKER_17 |
transcript.pyannote[6].start |
2858.70659375 |
transcript.pyannote[6].end |
2859.46596875 |
transcript.pyannote[7].speaker |
SPEAKER_17 |
transcript.pyannote[7].start |
2860.02284375 |
transcript.pyannote[7].end |
2864.98409375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
2866.40159375 |
transcript.pyannote[8].end |
2874.97409375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
2875.02471875 |
transcript.pyannote[9].end |
2894.32971875 |
transcript.pyannote[10].speaker |
SPEAKER_17 |
transcript.pyannote[10].start |
2899.59471875 |
transcript.pyannote[10].end |
2899.84784375 |
transcript.pyannote[11].speaker |
SPEAKER_17 |
transcript.pyannote[11].start |
2900.20221875 |
transcript.pyannote[11].end |
2924.35034375 |
transcript.pyannote[12].speaker |
SPEAKER_17 |
transcript.pyannote[12].start |
2928.06284375 |
transcript.pyannote[12].end |
2929.31159375 |
transcript.pyannote[13].speaker |
SPEAKER_17 |
transcript.pyannote[13].start |
2931.11721875 |
transcript.pyannote[13].end |
2932.50096875 |
transcript.pyannote[14].speaker |
SPEAKER_17 |
transcript.pyannote[14].start |
2934.39096875 |
transcript.pyannote[14].end |
2935.69034375 |
transcript.pyannote[15].speaker |
SPEAKER_17 |
transcript.pyannote[15].start |
2937.36096875 |
transcript.pyannote[15].end |
2938.98096875 |
transcript.pyannote[16].speaker |
SPEAKER_17 |
transcript.pyannote[16].start |
2940.46596875 |
transcript.pyannote[16].end |
2942.08596875 |
transcript.pyannote[17].speaker |
SPEAKER_17 |
transcript.pyannote[17].start |
2944.26284375 |
transcript.pyannote[17].end |
2945.62971875 |
transcript.pyannote[18].speaker |
SPEAKER_17 |
transcript.pyannote[18].start |
2947.62096875 |
transcript.pyannote[18].end |
2949.02159375 |
transcript.pyannote[19].speaker |
SPEAKER_17 |
transcript.pyannote[19].start |
2950.67534375 |
transcript.pyannote[19].end |
2952.14346875 |
transcript.pyannote[20].speaker |
SPEAKER_17 |
transcript.pyannote[20].start |
2953.66221875 |
transcript.pyannote[20].end |
2954.82659375 |
transcript.pyannote[21].speaker |
SPEAKER_17 |
transcript.pyannote[21].start |
2955.80534375 |
transcript.pyannote[21].end |
2956.96971875 |
transcript.pyannote[22].speaker |
SPEAKER_17 |
transcript.pyannote[22].start |
2958.75846875 |
transcript.pyannote[22].end |
2961.13784375 |
transcript.pyannote[23].speaker |
SPEAKER_17 |
transcript.pyannote[23].start |
2963.90534375 |
transcript.pyannote[23].end |
2966.14971875 |
transcript.pyannote[24].speaker |
SPEAKER_17 |
transcript.pyannote[24].start |
2967.85409375 |
transcript.pyannote[24].end |
2969.60909375 |
transcript.pyannote[25].speaker |
SPEAKER_17 |
transcript.pyannote[25].start |
2971.21221875 |
transcript.pyannote[25].end |
2973.01784375 |
transcript.pyannote[26].speaker |
SPEAKER_17 |
transcript.pyannote[26].start |
2974.18221875 |
transcript.pyannote[26].end |
2976.29159375 |
transcript.pyannote[27].speaker |
SPEAKER_17 |
transcript.pyannote[27].start |
2978.50221875 |
transcript.pyannote[27].end |
2980.99971875 |
transcript.pyannote[28].speaker |
SPEAKER_17 |
transcript.pyannote[28].start |
2982.31596875 |
transcript.pyannote[28].end |
2986.83846875 |
transcript.pyannote[29].speaker |
SPEAKER_17 |
transcript.pyannote[29].start |
2987.64846875 |
transcript.pyannote[29].end |
2988.03659375 |
transcript.pyannote[30].speaker |
SPEAKER_17 |
transcript.pyannote[30].start |
2999.81534375 |
transcript.pyannote[30].end |
3001.21596875 |
transcript.pyannote[31].speaker |
SPEAKER_17 |
transcript.pyannote[31].start |
3028.72221875 |
transcript.pyannote[31].end |
3029.00909375 |
transcript.pyannote[32].speaker |
SPEAKER_17 |
transcript.pyannote[32].start |
3029.09346875 |
transcript.pyannote[32].end |
3029.21159375 |
transcript.pyannote[33].speaker |
SPEAKER_17 |
transcript.pyannote[33].start |
3029.51534375 |
transcript.pyannote[33].end |
3045.24284375 |
transcript.pyannote[34].speaker |
SPEAKER_17 |
transcript.pyannote[34].start |
3047.28471875 |
transcript.pyannote[34].end |
3047.55471875 |
transcript.pyannote[35].speaker |
SPEAKER_17 |
transcript.pyannote[35].start |
3047.87534375 |
transcript.pyannote[35].end |
3055.80659375 |
transcript.pyannote[36].speaker |
SPEAKER_17 |
transcript.pyannote[36].start |
3057.76409375 |
transcript.pyannote[36].end |
3058.33784375 |
transcript.pyannote[37].speaker |
SPEAKER_17 |
transcript.pyannote[37].start |
3059.26596875 |
transcript.pyannote[37].end |
3059.65409375 |
transcript.pyannote[38].speaker |
SPEAKER_17 |
transcript.pyannote[38].start |
3061.79721875 |
transcript.pyannote[38].end |
3063.36659375 |
transcript.pyannote[39].speaker |
SPEAKER_17 |
transcript.pyannote[39].start |
3063.51846875 |
transcript.pyannote[39].end |
3063.82221875 |
transcript.pyannote[40].speaker |
SPEAKER_17 |
transcript.pyannote[40].start |
3068.74971875 |
transcript.pyannote[40].end |
3070.40346875 |
transcript.pyannote[41].speaker |
SPEAKER_17 |
transcript.pyannote[41].start |
3071.58471875 |
transcript.pyannote[41].end |
3073.25534375 |
transcript.pyannote[42].speaker |
SPEAKER_17 |
transcript.pyannote[42].start |
3073.66034375 |
transcript.pyannote[42].end |
3074.06534375 |
transcript.pyannote[43].speaker |
SPEAKER_17 |
transcript.pyannote[43].start |
3074.74034375 |
transcript.pyannote[43].end |
3079.61721875 |
transcript.pyannote[44].speaker |
SPEAKER_17 |
transcript.pyannote[44].start |
3084.39284375 |
transcript.pyannote[44].end |
3085.54034375 |
transcript.pyannote[45].speaker |
SPEAKER_17 |
transcript.pyannote[45].start |
3085.96221875 |
transcript.pyannote[45].end |
3086.02971875 |
transcript.pyannote[46].speaker |
SPEAKER_17 |
transcript.pyannote[46].start |
3086.53596875 |
transcript.pyannote[46].end |
3086.97471875 |
transcript.pyannote[47].speaker |
SPEAKER_17 |
transcript.pyannote[47].start |
3090.24846875 |
transcript.pyannote[47].end |
3090.80534375 |
transcript.pyannote[48].speaker |
SPEAKER_17 |
transcript.pyannote[48].start |
3093.01596875 |
transcript.pyannote[48].end |
3094.60221875 |
transcript.pyannote[49].speaker |
SPEAKER_17 |
transcript.pyannote[49].start |
3095.86784375 |
transcript.pyannote[49].end |
3096.86346875 |
transcript.pyannote[50].speaker |
SPEAKER_17 |
transcript.pyannote[50].start |
3097.13346875 |
transcript.pyannote[50].end |
3098.17971875 |
transcript.pyannote[51].speaker |
SPEAKER_21 |
transcript.pyannote[51].start |
3098.71971875 |
transcript.pyannote[51].end |
3100.22159375 |
transcript.pyannote[52].speaker |
SPEAKER_17 |
transcript.pyannote[52].start |
3100.22159375 |
transcript.pyannote[52].end |
3102.12846875 |
transcript.pyannote[53].speaker |
SPEAKER_02 |
transcript.pyannote[53].start |
3102.12846875 |
transcript.pyannote[53].end |
3102.17909375 |
transcript.pyannote[54].speaker |
SPEAKER_17 |
transcript.pyannote[54].start |
3117.14721875 |
transcript.pyannote[54].end |
3120.67409375 |
transcript.pyannote[55].speaker |
SPEAKER_17 |
transcript.pyannote[55].start |
3123.27284375 |
transcript.pyannote[55].end |
3123.59346875 |
transcript.pyannote[56].speaker |
SPEAKER_17 |
transcript.pyannote[56].start |
3124.06596875 |
transcript.pyannote[56].end |
3125.90534375 |
transcript.pyannote[57].speaker |
SPEAKER_17 |
transcript.pyannote[57].start |
3127.91346875 |
transcript.pyannote[57].end |
3130.10721875 |
transcript.pyannote[58].speaker |
SPEAKER_17 |
transcript.pyannote[58].start |
3131.62596875 |
transcript.pyannote[58].end |
3135.28784375 |
transcript.pyannote[59].speaker |
SPEAKER_15 |
transcript.pyannote[59].start |
3140.33346875 |
transcript.pyannote[59].end |
3141.80159375 |
transcript.pyannote[60].speaker |
SPEAKER_15 |
transcript.pyannote[60].start |
3143.01659375 |
transcript.pyannote[60].end |
3143.03346875 |
transcript.pyannote[61].speaker |
SPEAKER_15 |
transcript.pyannote[61].start |
3143.84346875 |
transcript.pyannote[61].end |
3144.75471875 |
transcript.pyannote[62].speaker |
SPEAKER_17 |
transcript.pyannote[62].start |
3144.92346875 |
transcript.pyannote[62].end |
3145.80096875 |
transcript.pyannote[63].speaker |
SPEAKER_17 |
transcript.pyannote[63].start |
3147.01596875 |
transcript.pyannote[63].end |
3149.46284375 |
transcript.pyannote[64].speaker |
SPEAKER_17 |
transcript.pyannote[64].start |
3150.50909375 |
transcript.pyannote[64].end |
3151.65659375 |
transcript.pyannote[65].speaker |
SPEAKER_17 |
transcript.pyannote[65].start |
3154.54221875 |
transcript.pyannote[65].end |
3154.84596875 |
transcript.pyannote[66].speaker |
SPEAKER_17 |
transcript.pyannote[66].start |
3155.75721875 |
transcript.pyannote[66].end |
3156.38159375 |
transcript.pyannote[67].speaker |
SPEAKER_15 |
transcript.pyannote[67].start |
3156.65159375 |
transcript.pyannote[67].end |
3157.20846875 |
transcript.pyannote[68].speaker |
SPEAKER_17 |
transcript.pyannote[68].start |
3157.41096875 |
transcript.pyannote[68].end |
3158.71034375 |
transcript.pyannote[69].speaker |
SPEAKER_17 |
transcript.pyannote[69].start |
3160.70159375 |
transcript.pyannote[69].end |
3161.05596875 |
transcript.pyannote[70].speaker |
SPEAKER_15 |
transcript.pyannote[70].start |
3163.31721875 |
transcript.pyannote[70].end |
3163.92471875 |
transcript.pyannote[71].speaker |
SPEAKER_17 |
transcript.pyannote[71].start |
3173.22284375 |
transcript.pyannote[71].end |
3177.08721875 |
transcript.pyannote[72].speaker |
SPEAKER_15 |
transcript.pyannote[72].start |
3177.08721875 |
transcript.pyannote[72].end |
3178.84221875 |
transcript.pyannote[73].speaker |
SPEAKER_17 |
transcript.pyannote[73].start |
3178.84221875 |
transcript.pyannote[73].end |
3186.36846875 |
transcript.pyannote[74].speaker |
SPEAKER_15 |
transcript.pyannote[74].start |
3178.97721875 |
transcript.pyannote[74].end |
3179.63534375 |
transcript.pyannote[75].speaker |
SPEAKER_15 |
transcript.pyannote[75].start |
3181.57596875 |
transcript.pyannote[75].end |
3182.58846875 |
transcript.pyannote[76].speaker |
SPEAKER_19 |
transcript.pyannote[76].start |
3182.58846875 |
transcript.pyannote[76].end |
3183.02721875 |
transcript.pyannote[77].speaker |
SPEAKER_19 |
transcript.pyannote[77].start |
3183.04409375 |
transcript.pyannote[77].end |
3183.06096875 |
transcript.pyannote[78].speaker |
SPEAKER_19 |
transcript.pyannote[78].start |
3183.11159375 |
transcript.pyannote[78].end |
3183.63471875 |
transcript.pyannote[79].speaker |
SPEAKER_19 |
transcript.pyannote[79].start |
3183.66846875 |
transcript.pyannote[79].end |
3183.70221875 |
transcript.pyannote[80].speaker |
SPEAKER_19 |
transcript.pyannote[80].start |
3183.78659375 |
transcript.pyannote[80].end |
3183.93846875 |
transcript.pyannote[81].speaker |
SPEAKER_15 |
transcript.pyannote[81].start |
3183.93846875 |
transcript.pyannote[81].end |
3184.78221875 |
transcript.pyannote[82].speaker |
SPEAKER_19 |
transcript.pyannote[82].start |
3184.78221875 |
transcript.pyannote[82].end |
3185.35596875 |
transcript.pyannote[83].speaker |
SPEAKER_15 |
transcript.pyannote[83].start |
3185.35596875 |
transcript.pyannote[83].end |
3185.38971875 |
transcript.pyannote[84].speaker |
SPEAKER_19 |
transcript.pyannote[84].start |
3185.38971875 |
transcript.pyannote[84].end |
3186.33471875 |
transcript.pyannote[85].speaker |
SPEAKER_15 |
transcript.pyannote[85].start |
3186.33471875 |
transcript.pyannote[85].end |
3192.03846875 |
transcript.pyannote[86].speaker |
SPEAKER_17 |
transcript.pyannote[86].start |
3192.03846875 |
transcript.pyannote[86].end |
3200.32409375 |
transcript.pyannote[87].speaker |
SPEAKER_15 |
transcript.pyannote[87].start |
3199.09221875 |
transcript.pyannote[87].end |
3203.02409375 |
transcript.pyannote[88].speaker |
SPEAKER_17 |
transcript.pyannote[88].start |
3201.75846875 |
transcript.pyannote[88].end |
3204.25596875 |
transcript.pyannote[89].speaker |
SPEAKER_17 |
transcript.pyannote[89].start |
3204.49221875 |
transcript.pyannote[89].end |
3208.42409375 |
transcript.pyannote[90].speaker |
SPEAKER_15 |
transcript.pyannote[90].start |
3208.42409375 |
transcript.pyannote[90].end |
3217.16534375 |
transcript.pyannote[91].speaker |
SPEAKER_17 |
transcript.pyannote[91].start |
3208.77846875 |
transcript.pyannote[91].end |
3208.84596875 |
transcript.pyannote[92].speaker |
SPEAKER_17 |
transcript.pyannote[92].start |
3208.86284375 |
transcript.pyannote[92].end |
3208.91346875 |
transcript.pyannote[93].speaker |
SPEAKER_17 |
transcript.pyannote[93].start |
3209.23409375 |
transcript.pyannote[93].end |
3219.64596875 |
transcript.pyannote[94].speaker |
SPEAKER_15 |
transcript.pyannote[94].start |
3218.00909375 |
transcript.pyannote[94].end |
3224.18534375 |
transcript.pyannote[95].speaker |
SPEAKER_17 |
transcript.pyannote[95].start |
3220.35471875 |
transcript.pyannote[95].end |
3220.99596875 |
transcript.pyannote[96].speaker |
SPEAKER_17 |
transcript.pyannote[96].start |
3222.04221875 |
transcript.pyannote[96].end |
3226.05846875 |
transcript.pyannote[97].speaker |
SPEAKER_15 |
transcript.pyannote[97].start |
3226.05846875 |
transcript.pyannote[97].end |
3232.03221875 |
transcript.pyannote[98].speaker |
SPEAKER_17 |
transcript.pyannote[98].start |
3228.15096875 |
transcript.pyannote[98].end |
3228.87659375 |
transcript.pyannote[99].speaker |
SPEAKER_14 |
transcript.pyannote[99].start |
3228.87659375 |
transcript.pyannote[99].end |
3228.97784375 |
transcript.pyannote[100].speaker |
SPEAKER_14 |
transcript.pyannote[100].start |
3230.96909375 |
transcript.pyannote[100].end |
3231.42471875 |
transcript.pyannote[101].speaker |
SPEAKER_07 |
transcript.pyannote[101].start |
3232.53846875 |
transcript.pyannote[101].end |
3234.81659375 |
transcript.pyannote[102].speaker |
SPEAKER_18 |
transcript.pyannote[102].start |
3234.81659375 |
transcript.pyannote[102].end |
3234.96846875 |
transcript.pyannote[103].speaker |
SPEAKER_07 |
transcript.pyannote[103].start |
3234.96846875 |
transcript.pyannote[103].end |
3235.03596875 |
transcript.pyannote[104].speaker |
SPEAKER_14 |
transcript.pyannote[104].start |
3240.84096875 |
transcript.pyannote[104].end |
3241.48221875 |
transcript.pyannote[105].speaker |
SPEAKER_19 |
transcript.pyannote[105].start |
3246.81471875 |
transcript.pyannote[105].end |
3246.83159375 |
transcript.pyannote[106].speaker |
SPEAKER_15 |
transcript.pyannote[106].start |
3249.49784375 |
transcript.pyannote[106].end |
3249.51471875 |
transcript.pyannote[107].speaker |
SPEAKER_15 |
transcript.pyannote[107].start |
3255.99471875 |
transcript.pyannote[107].end |
3256.02846875 |
transcript.pyannote[108].speaker |
SPEAKER_15 |
transcript.pyannote[108].start |
3257.63159375 |
transcript.pyannote[108].end |
3258.32346875 |
transcript.pyannote[109].speaker |
SPEAKER_19 |
transcript.pyannote[109].start |
3258.32346875 |
transcript.pyannote[109].end |
3258.44159375 |
transcript.pyannote[110].speaker |
SPEAKER_17 |
transcript.pyannote[110].start |
3259.65659375 |
transcript.pyannote[110].end |
3262.76159375 |
transcript.pyannote[111].speaker |
SPEAKER_17 |
transcript.pyannote[111].start |
3262.77846875 |
transcript.pyannote[111].end |
3262.81221875 |
transcript.pyannote[112].speaker |
SPEAKER_17 |
transcript.pyannote[112].start |
3262.84596875 |
transcript.pyannote[112].end |
3262.87971875 |
transcript.pyannote[113].speaker |
SPEAKER_17 |
transcript.pyannote[113].start |
3262.89659375 |
transcript.pyannote[113].end |
3263.41971875 |
transcript.pyannote[114].speaker |
SPEAKER_17 |
transcript.pyannote[114].start |
3264.12846875 |
transcript.pyannote[114].end |
3264.80346875 |
transcript.pyannote[115].speaker |
SPEAKER_14 |
transcript.pyannote[115].start |
3265.12409375 |
transcript.pyannote[115].end |
3266.72721875 |
transcript.pyannote[116].speaker |
SPEAKER_17 |
transcript.pyannote[116].start |
3267.04784375 |
transcript.pyannote[116].end |
3271.51971875 |
transcript.pyannote[117].speaker |
SPEAKER_17 |
transcript.pyannote[117].start |
3271.90784375 |
transcript.pyannote[117].end |
3275.68784375 |
transcript.pyannote[118].speaker |
SPEAKER_14 |
transcript.pyannote[118].start |
3275.68784375 |
transcript.pyannote[118].end |
3275.85659375 |
transcript.pyannote[119].speaker |
SPEAKER_17 |
transcript.pyannote[119].start |
3275.85659375 |
transcript.pyannote[119].end |
3275.97471875 |
transcript.pyannote[120].speaker |
SPEAKER_14 |
transcript.pyannote[120].start |
3275.97471875 |
transcript.pyannote[120].end |
3282.70784375 |
transcript.pyannote[121].speaker |
SPEAKER_14 |
transcript.pyannote[121].start |
3283.50096875 |
transcript.pyannote[121].end |
3288.15846875 |
transcript.pyannote[122].speaker |
SPEAKER_14 |
transcript.pyannote[122].start |
3288.52971875 |
transcript.pyannote[122].end |
3303.26159375 |
transcript.pyannote[123].speaker |
SPEAKER_14 |
transcript.pyannote[123].start |
3303.37971875 |
transcript.pyannote[123].end |
3320.55846875 |
transcript.pyannote[124].speaker |
SPEAKER_13 |
transcript.pyannote[124].start |
3320.92971875 |
transcript.pyannote[124].end |
3320.94659375 |
transcript.pyannote[125].speaker |
SPEAKER_17 |
transcript.pyannote[125].start |
3320.94659375 |
transcript.pyannote[125].end |
3324.84471875 |
transcript.pyannote[126].speaker |
SPEAKER_19 |
transcript.pyannote[126].start |
3325.45221875 |
transcript.pyannote[126].end |
3325.57034375 |
transcript.pyannote[127].speaker |
SPEAKER_17 |
transcript.pyannote[127].start |
3325.57034375 |
transcript.pyannote[127].end |
3327.61221875 |
transcript.pyannote[128].speaker |
SPEAKER_13 |
transcript.pyannote[128].start |
3325.72221875 |
transcript.pyannote[128].end |
3325.99221875 |
transcript.pyannote[129].speaker |
SPEAKER_13 |
transcript.pyannote[129].start |
3327.61221875 |
transcript.pyannote[129].end |
3328.20284375 |
transcript.pyannote[130].speaker |
SPEAKER_13 |
transcript.pyannote[130].start |
3328.60784375 |
transcript.pyannote[130].end |
3347.96346875 |
transcript.pyannote[131].speaker |
SPEAKER_13 |
transcript.pyannote[131].start |
3348.48659375 |
transcript.pyannote[131].end |
3370.64346875 |
transcript.pyannote[132].speaker |
SPEAKER_09 |
transcript.pyannote[132].start |
3376.71846875 |
transcript.pyannote[132].end |
3380.85284375 |
transcript.pyannote[133].speaker |
SPEAKER_13 |
transcript.pyannote[133].start |
3380.85284375 |
transcript.pyannote[133].end |
3385.02096875 |
transcript.pyannote[134].speaker |
SPEAKER_09 |
transcript.pyannote[134].start |
3385.96596875 |
transcript.pyannote[134].end |
3388.54784375 |
transcript.pyannote[135].speaker |
SPEAKER_13 |
transcript.pyannote[135].start |
3386.37096875 |
transcript.pyannote[135].end |
3387.73784375 |
transcript.pyannote[136].speaker |
SPEAKER_09 |
transcript.pyannote[136].start |
3388.90221875 |
transcript.pyannote[136].end |
3391.38284375 |
transcript.pyannote[137].speaker |
SPEAKER_13 |
transcript.pyannote[137].start |
3391.38284375 |
transcript.pyannote[137].end |
3395.80409375 |
transcript.pyannote[138].speaker |
SPEAKER_13 |
transcript.pyannote[138].start |
3396.22596875 |
transcript.pyannote[138].end |
3397.30596875 |
transcript.pyannote[139].speaker |
SPEAKER_13 |
transcript.pyannote[139].start |
3397.42409375 |
transcript.pyannote[139].end |
3405.05159375 |
transcript.pyannote[140].speaker |
SPEAKER_09 |
transcript.pyannote[140].start |
3404.35971875 |
transcript.pyannote[140].end |
3426.02721875 |
transcript.pyannote[141].speaker |
SPEAKER_13 |
transcript.pyannote[141].start |
3426.02721875 |
transcript.pyannote[141].end |
3435.54471875 |
transcript.pyannote[142].speaker |
SPEAKER_09 |
transcript.pyannote[142].start |
3435.05534375 |
transcript.pyannote[142].end |
3437.83971875 |
transcript.pyannote[143].speaker |
SPEAKER_13 |
transcript.pyannote[143].start |
3437.80596875 |
transcript.pyannote[143].end |
3440.84346875 |
transcript.pyannote[144].speaker |
SPEAKER_09 |
transcript.pyannote[144].start |
3438.54846875 |
transcript.pyannote[144].end |
3439.62846875 |
transcript.pyannote[145].speaker |
SPEAKER_09 |
transcript.pyannote[145].start |
3439.81409375 |
transcript.pyannote[145].end |
3444.03284375 |
transcript.pyannote[146].speaker |
SPEAKER_13 |
transcript.pyannote[146].start |
3444.42096875 |
transcript.pyannote[146].end |
3449.12909375 |
transcript.pyannote[147].speaker |
SPEAKER_09 |
transcript.pyannote[147].start |
3458.93346875 |
transcript.pyannote[147].end |
3458.95034375 |
transcript.pyannote[148].speaker |
SPEAKER_19 |
transcript.pyannote[148].start |
3458.95034375 |
transcript.pyannote[148].end |
3458.96721875 |
transcript.pyannote[149].speaker |
SPEAKER_02 |
transcript.pyannote[149].start |
3458.96721875 |
transcript.pyannote[149].end |
3459.45659375 |
transcript.pyannote[150].speaker |
SPEAKER_06 |
transcript.pyannote[150].start |
3460.94159375 |
transcript.pyannote[150].end |
3461.49846875 |
transcript.pyannote[151].speaker |
SPEAKER_09 |
transcript.pyannote[151].start |
3461.39721875 |
transcript.pyannote[151].end |
3464.28284375 |
transcript.pyannote[152].speaker |
SPEAKER_09 |
transcript.pyannote[152].start |
3464.68784375 |
transcript.pyannote[152].end |
3467.01659375 |
transcript.pyannote[153].speaker |
SPEAKER_13 |
transcript.pyannote[153].start |
3465.54846875 |
transcript.pyannote[153].end |
3466.62846875 |
transcript.pyannote[154].speaker |
SPEAKER_09 |
transcript.pyannote[154].start |
3467.72534375 |
transcript.pyannote[154].end |
3468.87284375 |
transcript.pyannote[155].speaker |
SPEAKER_13 |
transcript.pyannote[155].start |
3469.21034375 |
transcript.pyannote[155].end |
3476.41596875 |
transcript.pyannote[156].speaker |
SPEAKER_09 |
transcript.pyannote[156].start |
3476.48346875 |
transcript.pyannote[156].end |
3484.41471875 |
transcript.pyannote[157].speaker |
SPEAKER_09 |
transcript.pyannote[157].start |
3484.65096875 |
transcript.pyannote[157].end |
3488.66721875 |
transcript.pyannote[158].speaker |
SPEAKER_09 |
transcript.pyannote[158].start |
3488.98784375 |
transcript.pyannote[158].end |
3490.89471875 |
transcript.pyannote[159].speaker |
SPEAKER_09 |
transcript.pyannote[159].start |
3493.54409375 |
transcript.pyannote[159].end |
3493.76346875 |
transcript.pyannote[160].speaker |
SPEAKER_25 |
transcript.pyannote[160].start |
3495.41721875 |
transcript.pyannote[160].end |
3497.08784375 |
transcript.pyannote[161].speaker |
SPEAKER_09 |
transcript.pyannote[161].start |
3495.72096875 |
transcript.pyannote[161].end |
3496.90221875 |
transcript.pyannote[162].speaker |
SPEAKER_25 |
transcript.pyannote[162].start |
3497.57721875 |
transcript.pyannote[162].end |
3502.97721875 |
transcript.pyannote[163].speaker |
SPEAKER_25 |
transcript.pyannote[163].start |
3503.14596875 |
transcript.pyannote[163].end |
3507.33096875 |
transcript.pyannote[164].speaker |
SPEAKER_25 |
transcript.pyannote[164].start |
3507.82034375 |
transcript.pyannote[164].end |
3508.51221875 |
transcript.pyannote[165].speaker |
SPEAKER_25 |
transcript.pyannote[165].start |
3509.06909375 |
transcript.pyannote[165].end |
3510.33471875 |
transcript.pyannote[166].speaker |
SPEAKER_25 |
transcript.pyannote[166].start |
3513.22034375 |
transcript.pyannote[166].end |
3513.23721875 |
transcript.pyannote[167].speaker |
SPEAKER_13 |
transcript.pyannote[167].start |
3513.23721875 |
transcript.pyannote[167].end |
3513.45659375 |
transcript.pyannote[168].speaker |
SPEAKER_25 |
transcript.pyannote[168].start |
3513.45659375 |
transcript.pyannote[168].end |
3514.31721875 |
transcript.pyannote[169].speaker |
SPEAKER_13 |
transcript.pyannote[169].start |
3513.47346875 |
transcript.pyannote[169].end |
3513.60846875 |
transcript.pyannote[170].speaker |
SPEAKER_13 |
transcript.pyannote[170].start |
3514.72221875 |
transcript.pyannote[170].end |
3518.09721875 |
transcript.pyannote[171].speaker |
SPEAKER_25 |
transcript.pyannote[171].start |
3518.09721875 |
transcript.pyannote[171].end |
3521.23596875 |
transcript.pyannote[172].speaker |
SPEAKER_13 |
transcript.pyannote[172].start |
3521.82659375 |
transcript.pyannote[172].end |
3522.46784375 |
transcript.pyannote[173].speaker |
SPEAKER_06 |
transcript.pyannote[173].start |
3523.00784375 |
transcript.pyannote[173].end |
3536.38971875 |
transcript.pyannote[174].speaker |
SPEAKER_06 |
transcript.pyannote[174].start |
3536.96346875 |
transcript.pyannote[174].end |
3539.29221875 |
transcript.pyannote[175].speaker |
SPEAKER_06 |
transcript.pyannote[175].start |
3539.62971875 |
transcript.pyannote[175].end |
3542.44784375 |
transcript.pyannote[176].speaker |
SPEAKER_06 |
transcript.pyannote[176].start |
3543.24096875 |
transcript.pyannote[176].end |
3546.63284375 |
transcript.pyannote[177].speaker |
SPEAKER_06 |
transcript.pyannote[177].start |
3548.26971875 |
transcript.pyannote[177].end |
3550.22721875 |
transcript.pyannote[178].speaker |
SPEAKER_06 |
transcript.pyannote[178].start |
3551.18909375 |
transcript.pyannote[178].end |
3552.11721875 |
transcript.pyannote[179].speaker |
SPEAKER_06 |
transcript.pyannote[179].start |
3552.60659375 |
transcript.pyannote[179].end |
3554.44596875 |
transcript.pyannote[180].speaker |
SPEAKER_06 |
transcript.pyannote[180].start |
3555.67784375 |
transcript.pyannote[180].end |
3567.42284375 |
transcript.pyannote[181].speaker |
SPEAKER_06 |
transcript.pyannote[181].start |
3567.65909375 |
transcript.pyannote[181].end |
3569.97096875 |
transcript.pyannote[182].speaker |
SPEAKER_06 |
transcript.pyannote[182].start |
3570.34221875 |
transcript.pyannote[182].end |
3571.96221875 |
transcript.pyannote[183].speaker |
SPEAKER_06 |
transcript.pyannote[183].start |
3572.65409375 |
transcript.pyannote[183].end |
3574.47659375 |
transcript.pyannote[184].speaker |
SPEAKER_06 |
transcript.pyannote[184].start |
3574.71284375 |
transcript.pyannote[184].end |
3579.58971875 |
transcript.pyannote[185].speaker |
SPEAKER_06 |
transcript.pyannote[185].start |
3579.92721875 |
transcript.pyannote[185].end |
3582.10409375 |
transcript.pyannote[186].speaker |
SPEAKER_06 |
transcript.pyannote[186].start |
3582.76221875 |
transcript.pyannote[186].end |
3590.60909375 |
transcript.pyannote[187].speaker |
SPEAKER_06 |
transcript.pyannote[187].start |
3590.94659375 |
transcript.pyannote[187].end |
3592.14471875 |
transcript.pyannote[188].speaker |
SPEAKER_06 |
transcript.pyannote[188].start |
3593.59596875 |
transcript.pyannote[188].end |
3596.78534375 |
transcript.pyannote[189].speaker |
SPEAKER_17 |
transcript.pyannote[189].start |
3598.21971875 |
transcript.pyannote[189].end |
3601.37534375 |
transcript.pyannote[190].speaker |
SPEAKER_07 |
transcript.pyannote[190].start |
3599.95784375 |
transcript.pyannote[190].end |
3601.34159375 |
transcript.pyannote[191].speaker |
SPEAKER_06 |
transcript.pyannote[191].start |
3601.37534375 |
transcript.pyannote[191].end |
3601.39221875 |
transcript.pyannote[192].speaker |
SPEAKER_07 |
transcript.pyannote[192].start |
3601.69596875 |
transcript.pyannote[192].end |
3602.26971875 |
transcript.pyannote[193].speaker |
SPEAKER_07 |
transcript.pyannote[193].start |
3602.45534375 |
transcript.pyannote[193].end |
3618.62159375 |
transcript.pyannote[194].speaker |
SPEAKER_07 |
transcript.pyannote[194].start |
3619.02659375 |
transcript.pyannote[194].end |
3687.50534375 |
transcript.pyannote[195].speaker |
SPEAKER_24 |
transcript.pyannote[195].start |
3689.10846875 |
transcript.pyannote[195].end |
3689.95221875 |
transcript.pyannote[196].speaker |
SPEAKER_24 |
transcript.pyannote[196].start |
3691.06596875 |
transcript.pyannote[196].end |
3701.41034375 |
transcript.pyannote[197].speaker |
SPEAKER_24 |
transcript.pyannote[197].start |
3702.22034375 |
transcript.pyannote[197].end |
3704.63346875 |
transcript.pyannote[198].speaker |
SPEAKER_24 |
transcript.pyannote[198].start |
3705.22409375 |
transcript.pyannote[198].end |
3712.64909375 |
transcript.pyannote[199].speaker |
SPEAKER_24 |
transcript.pyannote[199].start |
3712.75034375 |
transcript.pyannote[199].end |
3717.40784375 |
transcript.pyannote[200].speaker |
SPEAKER_24 |
transcript.pyannote[200].start |
3718.01534375 |
transcript.pyannote[200].end |
3733.25346875 |
transcript.pyannote[201].speaker |
SPEAKER_24 |
transcript.pyannote[201].start |
3735.49784375 |
transcript.pyannote[201].end |
3735.88596875 |
transcript.pyannote[202].speaker |
SPEAKER_17 |
transcript.pyannote[202].start |
3735.88596875 |
transcript.pyannote[202].end |
3739.46346875 |
transcript.pyannote[203].speaker |
SPEAKER_26 |
transcript.pyannote[203].start |
3742.18034375 |
transcript.pyannote[203].end |
3797.73284375 |
transcript.pyannote[204].speaker |
SPEAKER_26 |
transcript.pyannote[204].start |
3798.01971875 |
transcript.pyannote[204].end |
3807.63846875 |
transcript.pyannote[205].speaker |
SPEAKER_26 |
transcript.pyannote[205].start |
3808.06034375 |
transcript.pyannote[205].end |
3812.59971875 |
transcript.pyannote[206].speaker |
SPEAKER_17 |
transcript.pyannote[206].start |
3813.51096875 |
transcript.pyannote[206].end |
3814.48971875 |
transcript.pyannote[207].speaker |
SPEAKER_09 |
transcript.pyannote[207].start |
3815.21534375 |
transcript.pyannote[207].end |
3827.90534375 |
transcript.pyannote[208].speaker |
SPEAKER_09 |
transcript.pyannote[208].start |
3828.36096875 |
transcript.pyannote[208].end |
3833.82846875 |
transcript.pyannote[209].speaker |
SPEAKER_09 |
transcript.pyannote[209].start |
3833.92971875 |
transcript.pyannote[209].end |
3859.63034375 |
transcript.pyannote[210].speaker |
SPEAKER_09 |
transcript.pyannote[210].start |
3860.44034375 |
transcript.pyannote[210].end |
3864.03471875 |
transcript.pyannote[211].speaker |
SPEAKER_09 |
transcript.pyannote[211].start |
3864.35534375 |
transcript.pyannote[211].end |
3864.77721875 |
transcript.pyannote[212].speaker |
SPEAKER_09 |
transcript.pyannote[212].start |
3865.18221875 |
transcript.pyannote[212].end |
3866.00909375 |
transcript.pyannote[213].speaker |
SPEAKER_17 |
transcript.pyannote[213].start |
3866.16096875 |
transcript.pyannote[213].end |
3867.17346875 |
transcript.pyannote[214].speaker |
SPEAKER_17 |
transcript.pyannote[214].start |
3871.44284375 |
transcript.pyannote[214].end |
3871.84784375 |
transcript.pyannote[215].speaker |
SPEAKER_10 |
transcript.pyannote[215].start |
3872.87721875 |
transcript.pyannote[215].end |
3903.92721875 |
transcript.pyannote[216].speaker |
SPEAKER_10 |
transcript.pyannote[216].start |
3903.99471875 |
transcript.pyannote[216].end |
3929.20596875 |
transcript.pyannote[217].speaker |
SPEAKER_10 |
transcript.pyannote[217].start |
3929.50971875 |
transcript.pyannote[217].end |
3941.82846875 |
transcript.pyannote[218].speaker |
SPEAKER_10 |
transcript.pyannote[218].start |
3941.98034375 |
transcript.pyannote[218].end |
3950.08034375 |
transcript.pyannote[219].speaker |
SPEAKER_10 |
transcript.pyannote[219].start |
3950.26596875 |
transcript.pyannote[219].end |
3964.54221875 |
transcript.pyannote[220].speaker |
SPEAKER_10 |
transcript.pyannote[220].start |
3964.60971875 |
transcript.pyannote[220].end |
3970.63409375 |
transcript.pyannote[221].speaker |
SPEAKER_17 |
transcript.pyannote[221].start |
3973.35096875 |
transcript.pyannote[221].end |
3975.34221875 |
transcript.pyannote[222].speaker |
SPEAKER_10 |
transcript.pyannote[222].start |
3975.29159375 |
transcript.pyannote[222].end |
3975.30846875 |
transcript.pyannote[223].speaker |
SPEAKER_07 |
transcript.pyannote[223].start |
3975.30846875 |
transcript.pyannote[223].end |
3983.79659375 |
transcript.pyannote[224].speaker |
SPEAKER_19 |
transcript.pyannote[224].start |
3983.84721875 |
transcript.pyannote[224].end |
3984.20159375 |
transcript.pyannote[225].speaker |
SPEAKER_07 |
transcript.pyannote[225].start |
3984.26909375 |
transcript.pyannote[225].end |
4018.72784375 |
transcript.pyannote[226].speaker |
SPEAKER_06 |
transcript.pyannote[226].start |
4008.78846875 |
transcript.pyannote[226].end |
4009.14284375 |
transcript.pyannote[227].speaker |
SPEAKER_00 |
transcript.pyannote[227].start |
4009.14284375 |
transcript.pyannote[227].end |
4009.15971875 |
transcript.pyannote[228].speaker |
SPEAKER_17 |
transcript.pyannote[228].start |
4018.72784375 |
transcript.pyannote[228].end |
4018.86284375 |
transcript.pyannote[229].speaker |
SPEAKER_17 |
transcript.pyannote[229].start |
4019.43659375 |
transcript.pyannote[229].end |
4020.46596875 |
transcript.pyannote[230].speaker |
SPEAKER_17 |
transcript.pyannote[230].start |
4022.05221875 |
transcript.pyannote[230].end |
4022.79471875 |
transcript.pyannote[231].speaker |
SPEAKER_17 |
transcript.pyannote[231].start |
4023.01409375 |
transcript.pyannote[231].end |
4024.48221875 |
transcript.pyannote[232].speaker |
SPEAKER_17 |
transcript.pyannote[232].start |
4025.91659375 |
transcript.pyannote[232].end |
4055.70096875 |
transcript.pyannote[233].speaker |
SPEAKER_13 |
transcript.pyannote[233].start |
4055.70096875 |
transcript.pyannote[233].end |
4082.29596875 |
transcript.pyannote[234].speaker |
SPEAKER_13 |
transcript.pyannote[234].start |
4082.58284375 |
transcript.pyannote[234].end |
4083.74721875 |
transcript.pyannote[235].speaker |
SPEAKER_13 |
transcript.pyannote[235].start |
4084.03409375 |
transcript.pyannote[235].end |
4145.86409375 |
transcript.pyannote[236].speaker |
SPEAKER_13 |
transcript.pyannote[236].start |
4145.99909375 |
transcript.pyannote[236].end |
4163.88659375 |
transcript.pyannote[237].speaker |
SPEAKER_17 |
transcript.pyannote[237].start |
4172.72909375 |
transcript.pyannote[237].end |
4175.46284375 |
transcript.pyannote[238].speaker |
SPEAKER_17 |
transcript.pyannote[238].start |
4177.01534375 |
transcript.pyannote[238].end |
4177.96034375 |
transcript.pyannote[239].speaker |
SPEAKER_09 |
transcript.pyannote[239].start |
4178.97284375 |
transcript.pyannote[239].end |
4179.52971875 |
transcript.pyannote[240].speaker |
SPEAKER_09 |
transcript.pyannote[240].start |
4180.52534375 |
transcript.pyannote[240].end |
4186.14471875 |
transcript.pyannote[241].speaker |
SPEAKER_09 |
transcript.pyannote[241].start |
4186.33034375 |
transcript.pyannote[241].end |
4194.81846875 |
transcript.pyannote[242].speaker |
SPEAKER_09 |
transcript.pyannote[242].start |
4195.98284375 |
transcript.pyannote[242].end |
4206.66471875 |
transcript.pyannote[243].speaker |
SPEAKER_09 |
transcript.pyannote[243].start |
4207.40721875 |
transcript.pyannote[243].end |
4211.54159375 |
transcript.pyannote[244].speaker |
SPEAKER_09 |
transcript.pyannote[244].start |
4212.25034375 |
transcript.pyannote[244].end |
4237.78221875 |
transcript.pyannote[245].speaker |
SPEAKER_09 |
transcript.pyannote[245].start |
4237.88346875 |
transcript.pyannote[245].end |
4271.78534375 |
transcript.pyannote[246].speaker |
SPEAKER_09 |
transcript.pyannote[246].start |
4272.62909375 |
transcript.pyannote[246].end |
4288.37346875 |
transcript.pyannote[247].speaker |
SPEAKER_09 |
transcript.pyannote[247].start |
4288.62659375 |
transcript.pyannote[247].end |
4301.82284375 |
transcript.pyannote[248].speaker |
SPEAKER_09 |
transcript.pyannote[248].start |
4302.29534375 |
transcript.pyannote[248].end |
4304.30346875 |
transcript.pyannote[249].speaker |
SPEAKER_25 |
transcript.pyannote[249].start |
4307.89784375 |
transcript.pyannote[249].end |
4318.52909375 |
transcript.pyannote[250].speaker |
SPEAKER_25 |
transcript.pyannote[250].start |
4318.71471875 |
transcript.pyannote[250].end |
4322.05596875 |
transcript.pyannote[251].speaker |
SPEAKER_25 |
transcript.pyannote[251].start |
4322.22471875 |
transcript.pyannote[251].end |
4324.50284375 |
transcript.pyannote[252].speaker |
SPEAKER_06 |
transcript.pyannote[252].start |
4338.61034375 |
transcript.pyannote[252].end |
4342.03596875 |
transcript.pyannote[253].speaker |
SPEAKER_25 |
transcript.pyannote[253].start |
4344.92159375 |
transcript.pyannote[253].end |
4345.84971875 |
transcript.pyannote[254].speaker |
SPEAKER_06 |
transcript.pyannote[254].start |
4345.69784375 |
transcript.pyannote[254].end |
4356.21096875 |
transcript.pyannote[255].speaker |
SPEAKER_06 |
transcript.pyannote[255].start |
4357.91534375 |
transcript.pyannote[255].end |
4358.65784375 |
transcript.pyannote[256].speaker |
SPEAKER_06 |
transcript.pyannote[256].start |
4359.01221875 |
transcript.pyannote[256].end |
4360.54784375 |
transcript.pyannote[257].speaker |
SPEAKER_06 |
transcript.pyannote[257].start |
4360.95284375 |
transcript.pyannote[257].end |
4364.20971875 |
transcript.pyannote[258].speaker |
SPEAKER_18 |
transcript.pyannote[258].start |
4368.41159375 |
transcript.pyannote[258].end |
4368.79971875 |
transcript.pyannote[259].speaker |
SPEAKER_06 |
transcript.pyannote[259].start |
4368.79971875 |
transcript.pyannote[259].end |
4371.78659375 |
transcript.pyannote[260].speaker |
SPEAKER_18 |
transcript.pyannote[260].start |
4373.84534375 |
transcript.pyannote[260].end |
4375.49909375 |
transcript.pyannote[261].speaker |
SPEAKER_18 |
transcript.pyannote[261].start |
4375.83659375 |
transcript.pyannote[261].end |
4376.15721875 |
transcript.pyannote[262].speaker |
SPEAKER_18 |
transcript.pyannote[262].start |
4376.57909375 |
transcript.pyannote[262].end |
4376.59596875 |
transcript.pyannote[263].speaker |
SPEAKER_06 |
transcript.pyannote[263].start |
4376.59596875 |
transcript.pyannote[263].end |
4378.16534375 |
transcript.pyannote[264].speaker |
SPEAKER_06 |
transcript.pyannote[264].start |
4378.26659375 |
transcript.pyannote[264].end |
4378.99221875 |
transcript.pyannote[265].speaker |
SPEAKER_06 |
transcript.pyannote[265].start |
4379.61659375 |
transcript.pyannote[265].end |
4384.61159375 |
transcript.pyannote[266].speaker |
SPEAKER_02 |
transcript.pyannote[266].start |
4397.87534375 |
transcript.pyannote[266].end |
4398.90471875 |
transcript.pyannote[267].speaker |
SPEAKER_02 |
transcript.pyannote[267].start |
4403.24159375 |
transcript.pyannote[267].end |
4404.00096875 |
transcript.pyannote[268].speaker |
SPEAKER_05 |
transcript.pyannote[268].start |
4406.68409375 |
transcript.pyannote[268].end |
4407.66284375 |
transcript.pyannote[269].speaker |
SPEAKER_05 |
transcript.pyannote[269].start |
4408.94534375 |
transcript.pyannote[269].end |
4410.12659375 |
transcript.pyannote[270].speaker |
SPEAKER_05 |
transcript.pyannote[270].start |
4410.56534375 |
transcript.pyannote[270].end |
4412.03346875 |
transcript.pyannote[271].speaker |
SPEAKER_05 |
transcript.pyannote[271].start |
4412.64096875 |
transcript.pyannote[271].end |
4413.50159375 |
transcript.pyannote[272].speaker |
SPEAKER_05 |
transcript.pyannote[272].start |
4414.19346875 |
transcript.pyannote[272].end |
4416.03284375 |
transcript.pyannote[273].speaker |
SPEAKER_05 |
transcript.pyannote[273].start |
4416.08346875 |
transcript.pyannote[273].end |
4417.09596875 |
transcript.pyannote[274].speaker |
SPEAKER_05 |
transcript.pyannote[274].start |
4419.50909375 |
transcript.pyannote[274].end |
4420.70721875 |
transcript.pyannote[275].speaker |
SPEAKER_05 |
transcript.pyannote[275].start |
4423.50846875 |
transcript.pyannote[275].end |
4427.55846875 |
transcript.pyannote[276].speaker |
SPEAKER_05 |
transcript.pyannote[276].start |
4429.04346875 |
transcript.pyannote[276].end |
4430.44409375 |
transcript.pyannote[277].speaker |
SPEAKER_19 |
transcript.pyannote[277].start |
4433.53221875 |
transcript.pyannote[277].end |
4435.62471875 |
transcript.pyannote[278].speaker |
SPEAKER_19 |
transcript.pyannote[278].start |
4436.16471875 |
transcript.pyannote[278].end |
4437.24471875 |
transcript.pyannote[279].speaker |
SPEAKER_19 |
transcript.pyannote[279].start |
4439.97846875 |
transcript.pyannote[279].end |
4441.02471875 |
transcript.pyannote[280].speaker |
SPEAKER_19 |
transcript.pyannote[280].start |
4441.24409375 |
transcript.pyannote[280].end |
4441.96971875 |
transcript.pyannote[281].speaker |
SPEAKER_10 |
transcript.pyannote[281].start |
4441.96971875 |
transcript.pyannote[281].end |
4443.03284375 |
transcript.pyannote[282].speaker |
SPEAKER_18 |
transcript.pyannote[282].start |
4443.03284375 |
transcript.pyannote[282].end |
4443.67409375 |
transcript.pyannote[283].speaker |
SPEAKER_10 |
transcript.pyannote[283].start |
4443.67409375 |
transcript.pyannote[283].end |
4443.97784375 |
transcript.pyannote[284].speaker |
SPEAKER_18 |
transcript.pyannote[284].start |
4443.97784375 |
transcript.pyannote[284].end |
4444.02846875 |
transcript.pyannote[285].speaker |
SPEAKER_05 |
transcript.pyannote[285].start |
4448.19659375 |
transcript.pyannote[285].end |
4448.29784375 |
transcript.pyannote[286].speaker |
SPEAKER_05 |
transcript.pyannote[286].start |
4448.71971875 |
transcript.pyannote[286].end |
4448.78721875 |
transcript.pyannote[287].speaker |
SPEAKER_25 |
transcript.pyannote[287].start |
4450.00221875 |
transcript.pyannote[287].end |
4453.86659375 |
transcript.pyannote[288].speaker |
SPEAKER_17 |
transcript.pyannote[288].start |
4451.40284375 |
transcript.pyannote[288].end |
4451.97659375 |
transcript.pyannote[289].speaker |
SPEAKER_17 |
transcript.pyannote[289].start |
4453.86659375 |
transcript.pyannote[289].end |
4454.35596875 |
transcript.pyannote[290].speaker |
SPEAKER_25 |
transcript.pyannote[290].start |
4454.35596875 |
transcript.pyannote[290].end |
4454.37284375 |
transcript.pyannote[291].speaker |
SPEAKER_17 |
transcript.pyannote[291].start |
4455.41909375 |
transcript.pyannote[291].end |
4456.22909375 |
transcript.pyannote[292].speaker |
SPEAKER_17 |
transcript.pyannote[292].start |
4456.31346875 |
transcript.pyannote[292].end |
4465.13909375 |
transcript.pyannote[293].speaker |
SPEAKER_17 |
transcript.pyannote[293].start |
4467.45096875 |
transcript.pyannote[293].end |
4467.60284375 |
transcript.pyannote[294].speaker |
SPEAKER_17 |
transcript.pyannote[294].start |
4468.22721875 |
transcript.pyannote[294].end |
4470.97784375 |
transcript.pyannote[295].speaker |
SPEAKER_16 |
transcript.pyannote[295].start |
4470.97784375 |
transcript.pyannote[295].end |
4471.77096875 |
transcript.pyannote[296].speaker |
SPEAKER_16 |
transcript.pyannote[296].start |
4472.24346875 |
transcript.pyannote[296].end |
4472.58096875 |
transcript.pyannote[297].speaker |
SPEAKER_16 |
transcript.pyannote[297].start |
4473.79596875 |
transcript.pyannote[297].end |
4482.08159375 |
transcript.pyannote[298].speaker |
SPEAKER_16 |
transcript.pyannote[298].start |
4482.38534375 |
transcript.pyannote[298].end |
4484.34284375 |
transcript.pyannote[299].speaker |
SPEAKER_16 |
transcript.pyannote[299].start |
4484.46096875 |
transcript.pyannote[299].end |
4488.19034375 |
transcript.pyannote[300].speaker |
SPEAKER_16 |
transcript.pyannote[300].start |
4491.21096875 |
transcript.pyannote[300].end |
4491.22784375 |
transcript.pyannote[301].speaker |
SPEAKER_17 |
transcript.pyannote[301].start |
4491.22784375 |
transcript.pyannote[301].end |
4493.03346875 |
transcript.pyannote[302].speaker |
SPEAKER_08 |
transcript.pyannote[302].start |
4496.45909375 |
transcript.pyannote[302].end |
4497.72471875 |
transcript.pyannote[303].speaker |
SPEAKER_17 |
transcript.pyannote[303].start |
4496.93159375 |
transcript.pyannote[303].end |
4497.26909375 |
transcript.pyannote[304].speaker |
SPEAKER_17 |
transcript.pyannote[304].start |
4498.78784375 |
transcript.pyannote[304].end |
4498.80471875 |
transcript.pyannote[305].speaker |
SPEAKER_17 |
transcript.pyannote[305].start |
4498.83846875 |
transcript.pyannote[305].end |
4499.10846875 |
transcript.pyannote[306].speaker |
SPEAKER_08 |
transcript.pyannote[306].start |
4499.10846875 |
transcript.pyannote[306].end |
4500.71159375 |
transcript.pyannote[307].speaker |
SPEAKER_19 |
transcript.pyannote[307].start |
4499.12534375 |
transcript.pyannote[307].end |
4499.14221875 |
transcript.pyannote[308].speaker |
SPEAKER_17 |
transcript.pyannote[308].start |
4499.14221875 |
transcript.pyannote[308].end |
4499.17596875 |
transcript.pyannote[309].speaker |
SPEAKER_19 |
transcript.pyannote[309].start |
4499.17596875 |
transcript.pyannote[309].end |
4499.53034375 |
transcript.pyannote[310].speaker |
SPEAKER_08 |
transcript.pyannote[310].start |
4500.96471875 |
transcript.pyannote[310].end |
4502.06159375 |
transcript.pyannote[311].speaker |
SPEAKER_17 |
transcript.pyannote[311].start |
4502.06159375 |
transcript.pyannote[311].end |
4502.85471875 |
transcript.pyannote[312].speaker |
SPEAKER_08 |
transcript.pyannote[312].start |
4502.85471875 |
transcript.pyannote[312].end |
4503.69846875 |
transcript.pyannote[313].speaker |
SPEAKER_17 |
transcript.pyannote[313].start |
4502.87159375 |
transcript.pyannote[313].end |
4503.05721875 |
transcript.pyannote[314].speaker |
SPEAKER_08 |
transcript.pyannote[314].start |
4504.08659375 |
transcript.pyannote[314].end |
4504.10346875 |
transcript.pyannote[315].speaker |
SPEAKER_17 |
transcript.pyannote[315].start |
4504.10346875 |
transcript.pyannote[315].end |
4504.37346875 |
transcript.pyannote[316].speaker |
SPEAKER_08 |
transcript.pyannote[316].start |
4504.96409375 |
transcript.pyannote[316].end |
4505.52096875 |
transcript.pyannote[317].speaker |
SPEAKER_08 |
transcript.pyannote[317].start |
4506.97221875 |
transcript.pyannote[317].end |
4507.93409375 |
transcript.pyannote[318].speaker |
SPEAKER_08 |
transcript.pyannote[318].start |
4508.99721875 |
transcript.pyannote[318].end |
4510.44846875 |
transcript.pyannote[319].speaker |
SPEAKER_17 |
transcript.pyannote[319].start |
4510.66784375 |
transcript.pyannote[319].end |
4512.60846875 |
transcript.pyannote[320].speaker |
SPEAKER_17 |
transcript.pyannote[320].start |
4513.72221875 |
transcript.pyannote[320].end |
4514.11034375 |
transcript.pyannote[321].speaker |
SPEAKER_17 |
transcript.pyannote[321].start |
4514.85284375 |
transcript.pyannote[321].end |
4517.82284375 |
transcript.pyannote[322].speaker |
SPEAKER_17 |
transcript.pyannote[322].start |
4522.09221875 |
transcript.pyannote[322].end |
4522.34534375 |
transcript.pyannote[323].speaker |
SPEAKER_17 |
transcript.pyannote[323].start |
4522.56471875 |
transcript.pyannote[323].end |
4524.77534375 |
transcript.pyannote[324].speaker |
SPEAKER_25 |
transcript.pyannote[324].start |
4529.61846875 |
transcript.pyannote[324].end |
4539.42284375 |
transcript.pyannote[325].speaker |
SPEAKER_19 |
transcript.pyannote[325].start |
4540.50284375 |
transcript.pyannote[325].end |
4542.00471875 |
transcript.pyannote[326].speaker |
SPEAKER_15 |
transcript.pyannote[326].start |
4542.00471875 |
transcript.pyannote[326].end |
4542.39284375 |
transcript.pyannote[327].speaker |
SPEAKER_19 |
transcript.pyannote[327].start |
4542.39284375 |
transcript.pyannote[327].end |
4544.97471875 |
transcript.pyannote[328].speaker |
SPEAKER_25 |
transcript.pyannote[328].start |
4542.46034375 |
transcript.pyannote[328].end |
4545.88596875 |
transcript.pyannote[329].speaker |
SPEAKER_15 |
transcript.pyannote[329].start |
4544.97471875 |
transcript.pyannote[329].end |
4545.34596875 |
transcript.pyannote[330].speaker |
SPEAKER_19 |
transcript.pyannote[330].start |
4545.34596875 |
transcript.pyannote[330].end |
4545.49784375 |
transcript.pyannote[331].speaker |
SPEAKER_15 |
transcript.pyannote[331].start |
4545.49784375 |
transcript.pyannote[331].end |
4545.71721875 |
transcript.pyannote[332].speaker |
SPEAKER_19 |
transcript.pyannote[332].start |
4545.71721875 |
transcript.pyannote[332].end |
4545.76784375 |
transcript.pyannote[333].speaker |
SPEAKER_19 |
transcript.pyannote[333].start |
4545.88596875 |
transcript.pyannote[333].end |
4545.95346875 |
transcript.pyannote[334].speaker |
SPEAKER_19 |
transcript.pyannote[334].start |
4547.16846875 |
transcript.pyannote[334].end |
4547.20221875 |
transcript.pyannote[335].speaker |
SPEAKER_13 |
transcript.pyannote[335].start |
4547.20221875 |
transcript.pyannote[335].end |
4547.47221875 |
transcript.pyannote[336].speaker |
SPEAKER_13 |
transcript.pyannote[336].start |
4552.28159375 |
transcript.pyannote[336].end |
4553.83409375 |
transcript.pyannote[337].speaker |
SPEAKER_13 |
transcript.pyannote[337].start |
4555.99409375 |
transcript.pyannote[337].end |
4557.14159375 |
transcript.pyannote[338].speaker |
SPEAKER_06 |
transcript.pyannote[338].start |
4557.98534375 |
transcript.pyannote[338].end |
4559.84159375 |
transcript.pyannote[339].speaker |
SPEAKER_13 |
transcript.pyannote[339].start |
4559.99346875 |
transcript.pyannote[339].end |
4561.03971875 |
transcript.pyannote[340].speaker |
SPEAKER_13 |
transcript.pyannote[340].start |
4561.37721875 |
transcript.pyannote[340].end |
4561.79909375 |
transcript.pyannote[341].speaker |
SPEAKER_13 |
transcript.pyannote[341].start |
4562.10284375 |
transcript.pyannote[341].end |
4564.33034375 |
transcript.pyannote[342].speaker |
SPEAKER_13 |
transcript.pyannote[342].start |
4565.05596875 |
transcript.pyannote[342].end |
4568.86971875 |
transcript.pyannote[343].speaker |
SPEAKER_13 |
transcript.pyannote[343].start |
4569.12284375 |
transcript.pyannote[343].end |
4570.62471875 |
transcript.pyannote[344].speaker |
SPEAKER_13 |
transcript.pyannote[344].start |
4570.96221875 |
transcript.pyannote[344].end |
4610.43284375 |
transcript.pyannote[345].speaker |
SPEAKER_13 |
transcript.pyannote[345].start |
4610.56784375 |
transcript.pyannote[345].end |
4622.93721875 |
transcript.pyannote[346].speaker |
SPEAKER_13 |
transcript.pyannote[346].start |
4623.51096875 |
transcript.pyannote[346].end |
4623.57846875 |
transcript.pyannote[347].speaker |
SPEAKER_13 |
transcript.pyannote[347].start |
4623.93284375 |
transcript.pyannote[347].end |
4624.33784375 |
transcript.pyannote[348].speaker |
SPEAKER_19 |
transcript.pyannote[348].start |
4624.33784375 |
transcript.pyannote[348].end |
4625.02971875 |
transcript.pyannote[349].speaker |
SPEAKER_13 |
transcript.pyannote[349].start |
4625.02971875 |
transcript.pyannote[349].end |
4625.29971875 |
transcript.pyannote[350].speaker |
SPEAKER_13 |
transcript.pyannote[350].start |
4625.43471875 |
transcript.pyannote[350].end |
4625.85659375 |
transcript.pyannote[351].speaker |
SPEAKER_19 |
transcript.pyannote[351].start |
4626.97034375 |
transcript.pyannote[351].end |
4627.03784375 |
transcript.pyannote[352].speaker |
SPEAKER_13 |
transcript.pyannote[352].start |
4630.48034375 |
transcript.pyannote[352].end |
4631.03721875 |
transcript.pyannote[353].speaker |
SPEAKER_13 |
transcript.pyannote[353].start |
4631.69534375 |
transcript.pyannote[353].end |
4638.15846875 |
transcript.pyannote[354].speaker |
SPEAKER_13 |
transcript.pyannote[354].start |
4638.37784375 |
transcript.pyannote[354].end |
4639.50846875 |
transcript.pyannote[355].speaker |
SPEAKER_13 |
transcript.pyannote[355].start |
4639.59284375 |
transcript.pyannote[355].end |
4639.84596875 |
transcript.pyannote[356].speaker |
SPEAKER_13 |
transcript.pyannote[356].start |
4642.27596875 |
transcript.pyannote[356].end |
4642.54596875 |
transcript.pyannote[357].speaker |
SPEAKER_25 |
transcript.pyannote[357].start |
4642.54596875 |
transcript.pyannote[357].end |
4642.56284375 |
transcript.pyannote[358].speaker |
SPEAKER_13 |
transcript.pyannote[358].start |
4643.69346875 |
transcript.pyannote[358].end |
4643.71034375 |
transcript.pyannote[359].speaker |
SPEAKER_25 |
transcript.pyannote[359].start |
4643.71034375 |
transcript.pyannote[359].end |
4644.58784375 |
transcript.pyannote[360].speaker |
SPEAKER_25 |
transcript.pyannote[360].start |
4646.02221875 |
transcript.pyannote[360].end |
4652.56971875 |
transcript.pyannote[361].speaker |
SPEAKER_25 |
transcript.pyannote[361].start |
4652.78909375 |
transcript.pyannote[361].end |
4657.85159375 |
transcript.pyannote[362].speaker |
SPEAKER_25 |
transcript.pyannote[362].start |
4658.40846875 |
transcript.pyannote[362].end |
4663.35284375 |
transcript.pyannote[363].speaker |
SPEAKER_25 |
transcript.pyannote[363].start |
4664.07846875 |
transcript.pyannote[363].end |
4664.43284375 |
transcript.pyannote[364].speaker |
SPEAKER_25 |
transcript.pyannote[364].start |
4665.81659375 |
transcript.pyannote[364].end |
4670.60909375 |
transcript.pyannote[365].speaker |
SPEAKER_25 |
transcript.pyannote[365].start |
4670.86221875 |
transcript.pyannote[365].end |
4672.66784375 |
transcript.pyannote[366].speaker |
SPEAKER_25 |
transcript.pyannote[366].start |
4673.52846875 |
transcript.pyannote[366].end |
4673.98409375 |
transcript.pyannote[367].speaker |
SPEAKER_25 |
transcript.pyannote[367].start |
4674.55784375 |
transcript.pyannote[367].end |
4676.26221875 |
transcript.pyannote[368].speaker |
SPEAKER_25 |
transcript.pyannote[368].start |
4676.61659375 |
transcript.pyannote[368].end |
4679.21534375 |
transcript.pyannote[369].speaker |
SPEAKER_25 |
transcript.pyannote[369].start |
4679.56971875 |
transcript.pyannote[369].end |
4679.92409375 |
transcript.pyannote[370].speaker |
SPEAKER_17 |
transcript.pyannote[370].start |
4679.92409375 |
transcript.pyannote[370].end |
4679.94096875 |
transcript.pyannote[371].speaker |
SPEAKER_25 |
transcript.pyannote[371].start |
4680.53159375 |
transcript.pyannote[371].end |
4680.58221875 |
transcript.pyannote[372].speaker |
SPEAKER_17 |
transcript.pyannote[372].start |
4680.58221875 |
transcript.pyannote[372].end |
4681.00409375 |
transcript.pyannote[373].speaker |
SPEAKER_25 |
transcript.pyannote[373].start |
4681.00409375 |
transcript.pyannote[373].end |
4682.06721875 |
transcript.pyannote[374].speaker |
SPEAKER_13 |
transcript.pyannote[374].start |
4681.03784375 |
transcript.pyannote[374].end |
4681.07159375 |
transcript.pyannote[375].speaker |
SPEAKER_25 |
transcript.pyannote[375].start |
4683.58596875 |
transcript.pyannote[375].end |
4683.60284375 |
transcript.pyannote[376].speaker |
SPEAKER_13 |
transcript.pyannote[376].start |
4683.60284375 |
transcript.pyannote[376].end |
4684.32846875 |
transcript.pyannote[377].speaker |
SPEAKER_13 |
transcript.pyannote[377].start |
4685.45909375 |
transcript.pyannote[377].end |
4687.14659375 |
transcript.pyannote[378].speaker |
SPEAKER_13 |
transcript.pyannote[378].start |
4687.36596875 |
transcript.pyannote[378].end |
4688.54721875 |
transcript.pyannote[379].speaker |
SPEAKER_13 |
transcript.pyannote[379].start |
4689.96471875 |
transcript.pyannote[379].end |
4691.19659375 |
transcript.pyannote[380].speaker |
SPEAKER_13 |
transcript.pyannote[380].start |
4693.93034375 |
transcript.pyannote[380].end |
4694.99346875 |
transcript.pyannote[381].speaker |
SPEAKER_13 |
transcript.pyannote[381].start |
4695.36471875 |
transcript.pyannote[381].end |
4698.25034375 |
transcript.pyannote[382].speaker |
SPEAKER_13 |
transcript.pyannote[382].start |
4701.79409375 |
transcript.pyannote[382].end |
4702.72221875 |
transcript.pyannote[383].speaker |
SPEAKER_15 |
transcript.pyannote[383].start |
4704.42659375 |
transcript.pyannote[383].end |
4705.21971875 |
transcript.pyannote[384].speaker |
SPEAKER_15 |
transcript.pyannote[384].start |
4705.96221875 |
transcript.pyannote[384].end |
4706.02971875 |
transcript.pyannote[385].speaker |
SPEAKER_25 |
transcript.pyannote[385].start |
4711.73346875 |
transcript.pyannote[385].end |
4715.96909375 |
transcript.pyannote[386].speaker |
SPEAKER_25 |
transcript.pyannote[386].start |
4716.61034375 |
transcript.pyannote[386].end |
4718.97284375 |
transcript.pyannote[387].speaker |
SPEAKER_25 |
transcript.pyannote[387].start |
4719.44534375 |
transcript.pyannote[387].end |
4719.85034375 |
transcript.pyannote[388].speaker |
SPEAKER_13 |
transcript.pyannote[388].start |
4724.89596875 |
transcript.pyannote[388].end |
4725.75659375 |
transcript.pyannote[389].speaker |
SPEAKER_13 |
transcript.pyannote[389].start |
4726.83659375 |
transcript.pyannote[389].end |
4728.08534375 |
transcript.pyannote[390].speaker |
SPEAKER_25 |
transcript.pyannote[390].start |
4728.08534375 |
transcript.pyannote[390].end |
4728.72659375 |
transcript.pyannote[391].speaker |
SPEAKER_18 |
transcript.pyannote[391].start |
4728.72659375 |
transcript.pyannote[391].end |
4732.96221875 |
transcript.pyannote[392].speaker |
SPEAKER_25 |
transcript.pyannote[392].start |
4732.96221875 |
transcript.pyannote[392].end |
4733.09721875 |
transcript.pyannote[393].speaker |
SPEAKER_25 |
transcript.pyannote[393].start |
4733.41784375 |
transcript.pyannote[393].end |
4736.43846875 |
transcript.pyannote[394].speaker |
SPEAKER_18 |
transcript.pyannote[394].start |
4735.78034375 |
transcript.pyannote[394].end |
4735.86471875 |
transcript.pyannote[395].speaker |
SPEAKER_20 |
transcript.pyannote[395].start |
4735.86471875 |
transcript.pyannote[395].end |
4735.89846875 |
transcript.pyannote[396].speaker |
SPEAKER_20 |
transcript.pyannote[396].start |
4735.91534375 |
transcript.pyannote[396].end |
4735.94909375 |
transcript.pyannote[397].speaker |
SPEAKER_06 |
transcript.pyannote[397].start |
4736.20221875 |
transcript.pyannote[397].end |
4739.52659375 |
transcript.pyannote[398].speaker |
SPEAKER_17 |
transcript.pyannote[398].start |
4743.25596875 |
transcript.pyannote[398].end |
4744.79159375 |
transcript.pyannote[399].speaker |
SPEAKER_17 |
transcript.pyannote[399].start |
4745.36534375 |
transcript.pyannote[399].end |
4746.49596875 |
transcript.pyannote[400].speaker |
SPEAKER_17 |
transcript.pyannote[400].start |
4746.83346875 |
transcript.pyannote[400].end |
4747.71096875 |
transcript.pyannote[401].speaker |
SPEAKER_17 |
transcript.pyannote[401].start |
4748.87534375 |
transcript.pyannote[401].end |
4750.71471875 |
transcript.pyannote[402].speaker |
SPEAKER_17 |
transcript.pyannote[402].start |
4750.96784375 |
transcript.pyannote[402].end |
4751.30534375 |
transcript.pyannote[403].speaker |
SPEAKER_19 |
transcript.pyannote[403].start |
4751.30534375 |
transcript.pyannote[403].end |
4751.33909375 |
transcript.pyannote[404].speaker |
SPEAKER_19 |
transcript.pyannote[404].start |
4751.96346875 |
transcript.pyannote[404].end |
4752.03096875 |
transcript.pyannote[405].speaker |
SPEAKER_17 |
transcript.pyannote[405].start |
4754.00534375 |
transcript.pyannote[405].end |
4754.62971875 |
transcript.pyannote[406].speaker |
SPEAKER_21 |
transcript.pyannote[406].start |
4755.06846875 |
transcript.pyannote[406].end |
4755.72659375 |
transcript.pyannote[407].speaker |
SPEAKER_17 |
transcript.pyannote[407].start |
4758.44346875 |
transcript.pyannote[407].end |
4760.31659375 |
transcript.pyannote[408].speaker |
SPEAKER_17 |
transcript.pyannote[408].start |
4761.76784375 |
transcript.pyannote[408].end |
4762.17284375 |
transcript.pyannote[409].speaker |
SPEAKER_17 |
transcript.pyannote[409].start |
4762.30784375 |
transcript.pyannote[409].end |
4762.94909375 |
transcript.pyannote[410].speaker |
SPEAKER_11 |
transcript.pyannote[410].start |
4764.09659375 |
transcript.pyannote[410].end |
4764.58596875 |
transcript.pyannote[411].speaker |
SPEAKER_06 |
transcript.pyannote[411].start |
4764.58596875 |
transcript.pyannote[411].end |
4764.65346875 |
transcript.pyannote[412].speaker |
SPEAKER_11 |
transcript.pyannote[412].start |
4766.49284375 |
transcript.pyannote[412].end |
4771.21784375 |
transcript.pyannote[413].speaker |
SPEAKER_11 |
transcript.pyannote[413].start |
4771.60596875 |
transcript.pyannote[413].end |
4785.24096875 |
transcript.pyannote[414].speaker |
SPEAKER_11 |
transcript.pyannote[414].start |
4785.79784375 |
transcript.pyannote[414].end |
4786.21971875 |
transcript.pyannote[415].speaker |
SPEAKER_17 |
transcript.pyannote[415].start |
4787.28284375 |
transcript.pyannote[415].end |
4787.73846875 |
transcript.pyannote[416].speaker |
SPEAKER_17 |
transcript.pyannote[416].start |
4788.41346875 |
transcript.pyannote[416].end |
4788.95346875 |
transcript.pyannote[417].speaker |
SPEAKER_17 |
transcript.pyannote[417].start |
4789.69596875 |
transcript.pyannote[417].end |
4790.72534375 |
transcript.pyannote[418].speaker |
SPEAKER_17 |
transcript.pyannote[418].start |
4791.06284375 |
transcript.pyannote[418].end |
4791.51846875 |
transcript.pyannote[419].speaker |
SPEAKER_16 |
transcript.pyannote[419].start |
4791.51846875 |
transcript.pyannote[419].end |
4791.53534375 |
transcript.pyannote[420].speaker |
SPEAKER_17 |
transcript.pyannote[420].start |
4791.97409375 |
transcript.pyannote[420].end |
4792.53096875 |
transcript.pyannote[421].speaker |
SPEAKER_16 |
transcript.pyannote[421].start |
4792.53096875 |
transcript.pyannote[421].end |
4792.56471875 |
transcript.pyannote[422].speaker |
SPEAKER_16 |
transcript.pyannote[422].start |
4793.93159375 |
transcript.pyannote[422].end |
4795.29846875 |
transcript.pyannote[423].speaker |
SPEAKER_16 |
transcript.pyannote[423].start |
4795.85534375 |
transcript.pyannote[423].end |
4841.43471875 |
transcript.pyannote[424].speaker |
SPEAKER_15 |
transcript.pyannote[424].start |
4849.26471875 |
transcript.pyannote[424].end |
4849.46721875 |
transcript.pyannote[425].speaker |
SPEAKER_19 |
transcript.pyannote[425].start |
4849.46721875 |
transcript.pyannote[425].end |
4849.66971875 |
transcript.pyannote[426].speaker |
SPEAKER_15 |
transcript.pyannote[426].start |
4849.66971875 |
transcript.pyannote[426].end |
4849.82159375 |
transcript.pyannote[427].speaker |
SPEAKER_24 |
transcript.pyannote[427].start |
4849.92284375 |
transcript.pyannote[427].end |
4850.80034375 |
transcript.pyannote[428].speaker |
SPEAKER_24 |
transcript.pyannote[428].start |
4851.62721875 |
transcript.pyannote[428].end |
4861.97159375 |
transcript.pyannote[429].speaker |
SPEAKER_24 |
transcript.pyannote[429].start |
4863.69284375 |
transcript.pyannote[429].end |
4864.13159375 |
transcript.pyannote[430].speaker |
SPEAKER_24 |
transcript.pyannote[430].start |
4866.40971875 |
transcript.pyannote[430].end |
4866.78096875 |
transcript.pyannote[431].speaker |
SPEAKER_24 |
transcript.pyannote[431].start |
4867.13534375 |
transcript.pyannote[431].end |
4876.21409375 |
transcript.pyannote[432].speaker |
SPEAKER_24 |
transcript.pyannote[432].start |
4876.46721875 |
transcript.pyannote[432].end |
4892.81909375 |
transcript.pyannote[433].speaker |
SPEAKER_00 |
transcript.pyannote[433].start |
4878.35721875 |
transcript.pyannote[433].end |
4878.42471875 |
transcript.pyannote[434].speaker |
SPEAKER_19 |
transcript.pyannote[434].start |
4878.42471875 |
transcript.pyannote[434].end |
4878.50909375 |
transcript.pyannote[435].speaker |
SPEAKER_00 |
transcript.pyannote[435].start |
4878.50909375 |
transcript.pyannote[435].end |
4878.64409375 |
transcript.pyannote[436].speaker |
SPEAKER_24 |
transcript.pyannote[436].start |
4893.30846875 |
transcript.pyannote[436].end |
4895.75534375 |
transcript.pyannote[437].speaker |
SPEAKER_24 |
transcript.pyannote[437].start |
4896.00846875 |
transcript.pyannote[437].end |
4897.12221875 |
transcript.pyannote[438].speaker |
SPEAKER_24 |
transcript.pyannote[438].start |
4897.29096875 |
transcript.pyannote[438].end |
4900.91909375 |
transcript.pyannote[439].speaker |
SPEAKER_24 |
transcript.pyannote[439].start |
4901.15534375 |
transcript.pyannote[439].end |
4930.19721875 |
transcript.pyannote[440].speaker |
SPEAKER_13 |
transcript.pyannote[440].start |
4930.19721875 |
transcript.pyannote[440].end |
4930.48409375 |
transcript.pyannote[441].speaker |
SPEAKER_24 |
transcript.pyannote[441].start |
4930.48409375 |
transcript.pyannote[441].end |
4930.50096875 |
transcript.pyannote[442].speaker |
SPEAKER_13 |
transcript.pyannote[442].start |
4930.50096875 |
transcript.pyannote[442].end |
4930.58534375 |
transcript.pyannote[443].speaker |
SPEAKER_24 |
transcript.pyannote[443].start |
4930.58534375 |
transcript.pyannote[443].end |
4930.61909375 |
transcript.pyannote[444].speaker |
SPEAKER_13 |
transcript.pyannote[444].start |
4930.61909375 |
transcript.pyannote[444].end |
4930.87221875 |
transcript.pyannote[445].speaker |
SPEAKER_24 |
transcript.pyannote[445].start |
4930.87221875 |
transcript.pyannote[445].end |
4930.97346875 |
transcript.pyannote[446].speaker |
SPEAKER_13 |
transcript.pyannote[446].start |
4930.97346875 |
transcript.pyannote[446].end |
4931.12534375 |
transcript.pyannote[447].speaker |
SPEAKER_24 |
transcript.pyannote[447].start |
4931.12534375 |
transcript.pyannote[447].end |
4931.15909375 |
transcript.pyannote[448].speaker |
SPEAKER_13 |
transcript.pyannote[448].start |
4931.15909375 |
transcript.pyannote[448].end |
4931.26034375 |
transcript.pyannote[449].speaker |
SPEAKER_13 |
transcript.pyannote[449].start |
4931.42909375 |
transcript.pyannote[449].end |
4932.72846875 |
transcript.pyannote[450].speaker |
SPEAKER_13 |
transcript.pyannote[450].start |
4932.98159375 |
transcript.pyannote[450].end |
4934.63534375 |
transcript.pyannote[451].speaker |
SPEAKER_13 |
transcript.pyannote[451].start |
4935.12471875 |
transcript.pyannote[451].end |
4962.24284375 |
transcript.pyannote[452].speaker |
SPEAKER_13 |
transcript.pyannote[452].start |
4962.66471875 |
transcript.pyannote[452].end |
4966.27596875 |
transcript.pyannote[453].speaker |
SPEAKER_13 |
transcript.pyannote[453].start |
4966.63034375 |
transcript.pyannote[453].end |
4974.66284375 |
transcript.pyannote[454].speaker |
SPEAKER_13 |
transcript.pyannote[454].start |
4975.18596875 |
transcript.pyannote[454].end |
4994.30534375 |
transcript.pyannote[455].speaker |
SPEAKER_13 |
transcript.pyannote[455].start |
4994.77784375 |
transcript.pyannote[455].end |
5040.22221875 |
transcript.pyannote[456].speaker |
SPEAKER_13 |
transcript.pyannote[456].start |
5040.45846875 |
transcript.pyannote[456].end |
5042.09534375 |
transcript.pyannote[457].speaker |
SPEAKER_13 |
transcript.pyannote[457].start |
5042.55096875 |
transcript.pyannote[457].end |
5046.36471875 |
transcript.pyannote[458].speaker |
SPEAKER_13 |
transcript.pyannote[458].start |
5046.66846875 |
transcript.pyannote[458].end |
5052.50721875 |
transcript.pyannote[459].speaker |
SPEAKER_13 |
transcript.pyannote[459].start |
5052.99659375 |
transcript.pyannote[459].end |
5055.03846875 |
transcript.pyannote[460].speaker |
SPEAKER_21 |
transcript.pyannote[460].start |
5054.83596875 |
transcript.pyannote[460].end |
5055.00471875 |
transcript.pyannote[461].speaker |
SPEAKER_17 |
transcript.pyannote[461].start |
5055.03846875 |
transcript.pyannote[461].end |
5055.12284375 |
transcript.pyannote[462].speaker |
SPEAKER_13 |
transcript.pyannote[462].start |
5056.01721875 |
transcript.pyannote[462].end |
5056.03409375 |
transcript.pyannote[463].speaker |
SPEAKER_17 |
transcript.pyannote[463].start |
5056.03409375 |
transcript.pyannote[463].end |
5057.99159375 |
transcript.pyannote[464].speaker |
SPEAKER_17 |
transcript.pyannote[464].start |
5058.61596875 |
transcript.pyannote[464].end |
5074.98471875 |
transcript.pyannote[465].speaker |
SPEAKER_17 |
transcript.pyannote[465].start |
5075.55846875 |
transcript.pyannote[465].end |
5075.71034375 |
transcript.pyannote[466].speaker |
SPEAKER_06 |
transcript.pyannote[466].start |
5075.71034375 |
transcript.pyannote[466].end |
5075.77784375 |
transcript.pyannote[467].speaker |
SPEAKER_17 |
transcript.pyannote[467].start |
5075.77784375 |
transcript.pyannote[467].end |
5076.03096875 |
transcript.pyannote[468].speaker |
SPEAKER_06 |
transcript.pyannote[468].start |
5076.03096875 |
transcript.pyannote[468].end |
5076.18284375 |
transcript.pyannote[469].speaker |
SPEAKER_17 |
transcript.pyannote[469].start |
5076.18284375 |
transcript.pyannote[469].end |
5076.19971875 |
transcript.pyannote[470].speaker |
SPEAKER_17 |
transcript.pyannote[470].start |
5077.73534375 |
transcript.pyannote[470].end |
5078.59596875 |
transcript.pyannote[471].speaker |
SPEAKER_14 |
transcript.pyannote[471].start |
5078.59596875 |
transcript.pyannote[471].end |
5078.62971875 |
transcript.pyannote[472].speaker |
SPEAKER_06 |
transcript.pyannote[472].start |
5079.03471875 |
transcript.pyannote[472].end |
5081.83596875 |
transcript.pyannote[473].speaker |
SPEAKER_14 |
transcript.pyannote[473].start |
5080.08096875 |
transcript.pyannote[473].end |
5080.53659375 |
transcript.pyannote[474].speaker |
SPEAKER_06 |
transcript.pyannote[474].start |
5082.25784375 |
transcript.pyannote[474].end |
5084.94096875 |
transcript.pyannote[475].speaker |
SPEAKER_06 |
transcript.pyannote[475].start |
5084.97471875 |
transcript.pyannote[475].end |
5085.02534375 |
transcript.pyannote[476].speaker |
SPEAKER_06 |
transcript.pyannote[476].start |
5085.48096875 |
transcript.pyannote[476].end |
5087.48909375 |
transcript.pyannote[477].speaker |
SPEAKER_06 |
transcript.pyannote[477].start |
5087.69159375 |
transcript.pyannote[477].end |
5092.09596875 |
transcript.pyannote[478].speaker |
SPEAKER_06 |
transcript.pyannote[478].start |
5092.43346875 |
transcript.pyannote[478].end |
5095.90971875 |
transcript.pyannote[479].speaker |
SPEAKER_06 |
transcript.pyannote[479].start |
5096.82096875 |
transcript.pyannote[479].end |
5098.06971875 |
transcript.pyannote[480].speaker |
SPEAKER_06 |
transcript.pyannote[480].start |
5098.77846875 |
transcript.pyannote[480].end |
5103.82409375 |
transcript.pyannote[481].speaker |
SPEAKER_06 |
transcript.pyannote[481].start |
5104.44846875 |
transcript.pyannote[481].end |
5113.61159375 |
transcript.pyannote[482].speaker |
SPEAKER_06 |
transcript.pyannote[482].start |
5114.06721875 |
transcript.pyannote[482].end |
5119.31534375 |
transcript.pyannote[483].speaker |
SPEAKER_06 |
transcript.pyannote[483].start |
5120.44596875 |
transcript.pyannote[483].end |
5126.36909375 |
transcript.pyannote[484].speaker |
SPEAKER_06 |
transcript.pyannote[484].start |
5126.87534375 |
transcript.pyannote[484].end |
5127.63471875 |
transcript.pyannote[485].speaker |
SPEAKER_06 |
transcript.pyannote[485].start |
5128.15784375 |
transcript.pyannote[485].end |
5129.10284375 |
transcript.pyannote[486].speaker |
SPEAKER_06 |
transcript.pyannote[486].start |
5130.14909375 |
transcript.pyannote[486].end |
5132.74784375 |
transcript.pyannote[487].speaker |
SPEAKER_06 |
transcript.pyannote[487].start |
5133.15284375 |
transcript.pyannote[487].end |
5136.57846875 |
transcript.pyannote[488].speaker |
SPEAKER_06 |
transcript.pyannote[488].start |
5136.79784375 |
transcript.pyannote[488].end |
5139.68346875 |
transcript.pyannote[489].speaker |
SPEAKER_06 |
transcript.pyannote[489].start |
5140.17284375 |
transcript.pyannote[489].end |
5141.23596875 |
transcript.pyannote[490].speaker |
SPEAKER_06 |
transcript.pyannote[490].start |
5142.09659375 |
transcript.pyannote[490].end |
5143.41284375 |
transcript.pyannote[491].speaker |
SPEAKER_06 |
transcript.pyannote[491].start |
5144.47596875 |
transcript.pyannote[491].end |
5145.33659375 |
transcript.pyannote[492].speaker |
SPEAKER_06 |
transcript.pyannote[492].start |
5146.07909375 |
transcript.pyannote[492].end |
5149.43721875 |
transcript.pyannote[493].speaker |
SPEAKER_06 |
transcript.pyannote[493].start |
5150.16284375 |
transcript.pyannote[493].end |
5157.19971875 |
transcript.pyannote[494].speaker |
SPEAKER_06 |
transcript.pyannote[494].start |
5157.38534375 |
transcript.pyannote[494].end |
5159.83221875 |
transcript.pyannote[495].speaker |
SPEAKER_06 |
transcript.pyannote[495].start |
5160.25409375 |
transcript.pyannote[495].end |
5161.24971875 |
transcript.pyannote[496].speaker |
SPEAKER_06 |
transcript.pyannote[496].start |
5161.97534375 |
transcript.pyannote[496].end |
5162.76846875 |
transcript.pyannote[497].speaker |
SPEAKER_06 |
transcript.pyannote[497].start |
5163.93284375 |
transcript.pyannote[497].end |
5165.55284375 |
transcript.pyannote[498].speaker |
SPEAKER_06 |
transcript.pyannote[498].start |
5165.85659375 |
transcript.pyannote[498].end |
5166.31221875 |
transcript.pyannote[499].speaker |
SPEAKER_06 |
transcript.pyannote[499].start |
5166.93659375 |
transcript.pyannote[499].end |
5168.65784375 |
transcript.pyannote[500].speaker |
SPEAKER_06 |
transcript.pyannote[500].start |
5169.48471875 |
transcript.pyannote[500].end |
5170.19346875 |
transcript.pyannote[501].speaker |
SPEAKER_06 |
transcript.pyannote[501].start |
5170.85159375 |
transcript.pyannote[501].end |
5173.23096875 |
transcript.pyannote[502].speaker |
SPEAKER_06 |
transcript.pyannote[502].start |
5173.87221875 |
transcript.pyannote[502].end |
5174.66534375 |
transcript.pyannote[503].speaker |
SPEAKER_06 |
transcript.pyannote[503].start |
5174.85096875 |
transcript.pyannote[503].end |
5177.63534375 |
transcript.pyannote[504].speaker |
SPEAKER_06 |
transcript.pyannote[504].start |
5178.29346875 |
transcript.pyannote[504].end |
5183.11971875 |
transcript.pyannote[505].speaker |
SPEAKER_06 |
transcript.pyannote[505].start |
5183.45721875 |
transcript.pyannote[505].end |
5188.03034375 |
transcript.pyannote[506].speaker |
SPEAKER_06 |
transcript.pyannote[506].start |
5188.08096875 |
transcript.pyannote[506].end |
5191.08471875 |
transcript.pyannote[507].speaker |
SPEAKER_06 |
transcript.pyannote[507].start |
5191.20284375 |
transcript.pyannote[507].end |
5195.11784375 |
transcript.pyannote[508].speaker |
SPEAKER_06 |
transcript.pyannote[508].start |
5195.89409375 |
transcript.pyannote[508].end |
5205.44534375 |
transcript.pyannote[509].speaker |
SPEAKER_17 |
transcript.pyannote[509].start |
5209.42784375 |
transcript.pyannote[509].end |
5210.54159375 |
transcript.pyannote[510].speaker |
SPEAKER_17 |
transcript.pyannote[510].start |
5210.79471875 |
transcript.pyannote[510].end |
5212.71846875 |
transcript.pyannote[511].speaker |
SPEAKER_17 |
transcript.pyannote[511].start |
5212.87034375 |
transcript.pyannote[511].end |
5229.96471875 |
transcript.pyannote[512].speaker |
SPEAKER_17 |
transcript.pyannote[512].start |
5230.38659375 |
transcript.pyannote[512].end |
5241.05159375 |
transcript.pyannote[513].speaker |
SPEAKER_17 |
transcript.pyannote[513].start |
5241.42284375 |
transcript.pyannote[513].end |
5241.65909375 |
transcript.pyannote[514].speaker |
SPEAKER_17 |
transcript.pyannote[514].start |
5242.87409375 |
transcript.pyannote[514].end |
5245.38846875 |
transcript.pyannote[515].speaker |
SPEAKER_17 |
transcript.pyannote[515].start |
5247.68346875 |
transcript.pyannote[515].end |
5248.10534375 |
transcript.pyannote[516].speaker |
SPEAKER_17 |
transcript.pyannote[516].start |
5248.42596875 |
transcript.pyannote[516].end |
5248.45971875 |
transcript.pyannote[517].speaker |
SPEAKER_16 |
transcript.pyannote[517].start |
5248.45971875 |
transcript.pyannote[517].end |
5250.04596875 |
transcript.pyannote[518].speaker |
SPEAKER_16 |
transcript.pyannote[518].start |
5251.32846875 |
transcript.pyannote[518].end |
5259.68159375 |
transcript.pyannote[519].speaker |
SPEAKER_16 |
transcript.pyannote[519].start |
5260.28909375 |
transcript.pyannote[519].end |
5273.08034375 |
transcript.pyannote[520].speaker |
SPEAKER_16 |
transcript.pyannote[520].start |
5273.78909375 |
transcript.pyannote[520].end |
5274.59909375 |
transcript.pyannote[521].speaker |
SPEAKER_07 |
transcript.pyannote[521].start |
5277.06284375 |
transcript.pyannote[521].end |
5326.20284375 |
transcript.pyannote[522].speaker |
SPEAKER_19 |
transcript.pyannote[522].start |
5293.16159375 |
transcript.pyannote[522].end |
5293.60034375 |
transcript.pyannote[523].speaker |
SPEAKER_07 |
transcript.pyannote[523].start |
5326.67534375 |
transcript.pyannote[523].end |
5328.43034375 |
transcript.pyannote[524].speaker |
SPEAKER_07 |
transcript.pyannote[524].start |
5328.59909375 |
transcript.pyannote[524].end |
5335.78784375 |
transcript.pyannote[525].speaker |
SPEAKER_07 |
transcript.pyannote[525].start |
5336.10846875 |
transcript.pyannote[525].end |
5365.87596875 |
transcript.pyannote[526].speaker |
SPEAKER_07 |
transcript.pyannote[526].start |
5365.90971875 |
transcript.pyannote[526].end |
5372.22096875 |
transcript.pyannote[527].speaker |
SPEAKER_07 |
transcript.pyannote[527].start |
5372.59221875 |
transcript.pyannote[527].end |
5381.65409375 |
transcript.pyannote[528].speaker |
SPEAKER_17 |
transcript.pyannote[528].start |
5383.07159375 |
transcript.pyannote[528].end |
5383.91534375 |
transcript.pyannote[529].speaker |
SPEAKER_17 |
transcript.pyannote[529].start |
5384.33721875 |
transcript.pyannote[529].end |
5385.53534375 |
transcript.pyannote[530].speaker |
SPEAKER_11 |
transcript.pyannote[530].start |
5390.10846875 |
transcript.pyannote[530].end |
5409.66659375 |
transcript.pyannote[531].speaker |
SPEAKER_11 |
transcript.pyannote[531].start |
5409.90284375 |
transcript.pyannote[531].end |
5416.87221875 |
transcript.pyannote[532].speaker |
SPEAKER_11 |
transcript.pyannote[532].start |
5417.61471875 |
transcript.pyannote[532].end |
5434.65846875 |
transcript.pyannote[533].speaker |
SPEAKER_11 |
transcript.pyannote[533].start |
5435.06346875 |
transcript.pyannote[533].end |
5491.67909375 |
transcript.pyannote[534].speaker |
SPEAKER_11 |
transcript.pyannote[534].start |
5492.35409375 |
transcript.pyannote[534].end |
5497.66971875 |
transcript.pyannote[535].speaker |
SPEAKER_11 |
transcript.pyannote[535].start |
5498.20971875 |
transcript.pyannote[535].end |
5499.59346875 |
transcript.pyannote[536].speaker |
SPEAKER_11 |
transcript.pyannote[536].start |
5500.09971875 |
transcript.pyannote[536].end |
5516.51909375 |
transcript.pyannote[537].speaker |
SPEAKER_11 |
transcript.pyannote[537].start |
5518.07159375 |
transcript.pyannote[537].end |
5518.12221875 |
transcript.pyannote[538].speaker |
SPEAKER_19 |
transcript.pyannote[538].start |
5518.12221875 |
transcript.pyannote[538].end |
5519.08409375 |
transcript.pyannote[539].speaker |
SPEAKER_11 |
transcript.pyannote[539].start |
5518.18971875 |
transcript.pyannote[539].end |
5518.45971875 |
transcript.pyannote[540].speaker |
SPEAKER_11 |
transcript.pyannote[540].start |
5519.08409375 |
transcript.pyannote[540].end |
5520.07971875 |
transcript.pyannote[541].speaker |
SPEAKER_11 |
transcript.pyannote[541].start |
5520.53534375 |
transcript.pyannote[541].end |
5543.14784375 |
transcript.pyannote[542].speaker |
SPEAKER_11 |
transcript.pyannote[542].start |
5544.17721875 |
transcript.pyannote[542].end |
5572.44284375 |
transcript.pyannote[543].speaker |
SPEAKER_19 |
transcript.pyannote[543].start |
5561.28846875 |
transcript.pyannote[543].end |
5561.79471875 |
transcript.pyannote[544].speaker |
SPEAKER_17 |
transcript.pyannote[544].start |
5573.72534375 |
transcript.pyannote[544].end |
5578.90596875 |
transcript.pyannote[545].speaker |
SPEAKER_17 |
transcript.pyannote[545].start |
5579.63159375 |
transcript.pyannote[545].end |
5580.94784375 |
transcript.pyannote[546].speaker |
SPEAKER_11 |
transcript.pyannote[546].start |
5579.73284375 |
transcript.pyannote[546].end |
5646.15284375 |
transcript.pyannote[547].speaker |
SPEAKER_17 |
transcript.pyannote[547].start |
5647.53659375 |
transcript.pyannote[547].end |
5647.57034375 |
transcript.pyannote[548].speaker |
SPEAKER_14 |
transcript.pyannote[548].start |
5647.57034375 |
transcript.pyannote[548].end |
5647.67159375 |
transcript.pyannote[549].speaker |
SPEAKER_17 |
transcript.pyannote[549].start |
5647.67159375 |
transcript.pyannote[549].end |
5648.02596875 |
transcript.pyannote[550].speaker |
SPEAKER_14 |
transcript.pyannote[550].start |
5648.02596875 |
transcript.pyannote[550].end |
5648.51534375 |
transcript.pyannote[551].speaker |
SPEAKER_17 |
transcript.pyannote[551].start |
5648.51534375 |
transcript.pyannote[551].end |
5648.63346875 |
transcript.pyannote[552].speaker |
SPEAKER_14 |
transcript.pyannote[552].start |
5651.11409375 |
transcript.pyannote[552].end |
5653.24034375 |
transcript.pyannote[553].speaker |
SPEAKER_14 |
transcript.pyannote[553].start |
5653.45971875 |
transcript.pyannote[553].end |
5704.92846875 |
transcript.pyannote[554].speaker |
SPEAKER_14 |
transcript.pyannote[554].start |
5705.19846875 |
transcript.pyannote[554].end |
5734.20659375 |
transcript.pyannote[555].speaker |
SPEAKER_14 |
transcript.pyannote[555].start |
5734.57784375 |
transcript.pyannote[555].end |
5737.91909375 |
transcript.pyannote[556].speaker |
SPEAKER_14 |
transcript.pyannote[556].start |
5738.03721875 |
transcript.pyannote[556].end |
5747.35221875 |
transcript.pyannote[557].speaker |
SPEAKER_14 |
transcript.pyannote[557].start |
5747.95971875 |
transcript.pyannote[557].end |
5771.17971875 |
transcript.pyannote[558].speaker |
SPEAKER_14 |
transcript.pyannote[558].start |
5771.28096875 |
transcript.pyannote[558].end |
5772.07409375 |
transcript.pyannote[559].speaker |
SPEAKER_14 |
transcript.pyannote[559].start |
5772.34409375 |
transcript.pyannote[559].end |
5773.25534375 |
transcript.pyannote[560].speaker |
SPEAKER_17 |
transcript.pyannote[560].start |
5775.92159375 |
transcript.pyannote[560].end |
5776.17471875 |
transcript.pyannote[561].speaker |
SPEAKER_16 |
transcript.pyannote[561].start |
5776.17471875 |
transcript.pyannote[561].end |
5776.20846875 |
transcript.pyannote[562].speaker |
SPEAKER_14 |
transcript.pyannote[562].start |
5776.69784375 |
transcript.pyannote[562].end |
5777.22096875 |
transcript.pyannote[563].speaker |
SPEAKER_16 |
transcript.pyannote[563].start |
5777.22096875 |
transcript.pyannote[563].end |
5777.23784375 |
transcript.pyannote[564].speaker |
SPEAKER_16 |
transcript.pyannote[564].start |
5779.02659375 |
transcript.pyannote[564].end |
5779.63409375 |
transcript.pyannote[565].speaker |
SPEAKER_16 |
transcript.pyannote[565].start |
5780.35971875 |
transcript.pyannote[565].end |
5793.67409375 |
transcript.pyannote[566].speaker |
SPEAKER_16 |
transcript.pyannote[566].start |
5794.16346875 |
transcript.pyannote[566].end |
5856.68534375 |
transcript.pyannote[567].speaker |
SPEAKER_17 |
transcript.pyannote[567].start |
5858.06909375 |
transcript.pyannote[567].end |
5858.96346875 |
transcript.pyannote[568].speaker |
SPEAKER_16 |
transcript.pyannote[568].start |
5858.96346875 |
transcript.pyannote[568].end |
5859.08159375 |
transcript.pyannote[569].speaker |
SPEAKER_17 |
transcript.pyannote[569].start |
5859.08159375 |
transcript.pyannote[569].end |
5859.09846875 |
transcript.pyannote[570].speaker |
SPEAKER_03 |
transcript.pyannote[570].start |
5860.49909375 |
transcript.pyannote[570].end |
5867.23221875 |
transcript.pyannote[571].speaker |
SPEAKER_03 |
transcript.pyannote[571].start |
5867.58659375 |
transcript.pyannote[571].end |
5874.62346875 |
transcript.pyannote[572].speaker |
SPEAKER_03 |
transcript.pyannote[572].start |
5876.24346875 |
transcript.pyannote[572].end |
5880.91784375 |
transcript.pyannote[573].speaker |
SPEAKER_03 |
transcript.pyannote[573].start |
5881.47471875 |
transcript.pyannote[573].end |
5912.96346875 |
transcript.pyannote[574].speaker |
SPEAKER_03 |
transcript.pyannote[574].start |
5916.00096875 |
transcript.pyannote[574].end |
5916.84471875 |
transcript.pyannote[575].speaker |
SPEAKER_06 |
transcript.pyannote[575].start |
5918.97096875 |
transcript.pyannote[575].end |
5928.40409375 |
transcript.pyannote[576].speaker |
SPEAKER_06 |
transcript.pyannote[576].start |
5928.74159375 |
transcript.pyannote[576].end |
5930.59784375 |
transcript.pyannote[577].speaker |
SPEAKER_06 |
transcript.pyannote[577].start |
5931.13784375 |
transcript.pyannote[577].end |
5933.80409375 |
transcript.pyannote[578].speaker |
SPEAKER_06 |
transcript.pyannote[578].start |
5934.58034375 |
transcript.pyannote[578].end |
5935.94721875 |
transcript.pyannote[579].speaker |
SPEAKER_06 |
transcript.pyannote[579].start |
5936.40284375 |
transcript.pyannote[579].end |
5940.31784375 |
transcript.pyannote[580].speaker |
SPEAKER_06 |
transcript.pyannote[580].start |
5940.92534375 |
transcript.pyannote[580].end |
5947.47284375 |
transcript.pyannote[581].speaker |
SPEAKER_06 |
transcript.pyannote[581].start |
5947.64159375 |
transcript.pyannote[581].end |
5949.09284375 |
transcript.pyannote[582].speaker |
SPEAKER_06 |
transcript.pyannote[582].start |
5949.75096875 |
transcript.pyannote[582].end |
5952.80534375 |
transcript.pyannote[583].speaker |
SPEAKER_06 |
transcript.pyannote[583].start |
5952.88971875 |
transcript.pyannote[583].end |
5954.10471875 |
transcript.pyannote[584].speaker |
SPEAKER_06 |
transcript.pyannote[584].start |
5954.86409375 |
transcript.pyannote[584].end |
5960.73659375 |
transcript.pyannote[585].speaker |
SPEAKER_06 |
transcript.pyannote[585].start |
5961.12471875 |
transcript.pyannote[585].end |
5963.82471875 |
transcript.pyannote[586].speaker |
SPEAKER_06 |
transcript.pyannote[586].start |
5965.61346875 |
transcript.pyannote[586].end |
5967.16596875 |
transcript.pyannote[587].speaker |
SPEAKER_06 |
transcript.pyannote[587].start |
5967.94221875 |
transcript.pyannote[587].end |
5968.75221875 |
transcript.pyannote[588].speaker |
SPEAKER_06 |
transcript.pyannote[588].start |
5969.10659375 |
transcript.pyannote[588].end |
5977.89846875 |
transcript.pyannote[589].speaker |
SPEAKER_06 |
transcript.pyannote[589].start |
5978.26971875 |
transcript.pyannote[589].end |
5980.42971875 |
transcript.pyannote[590].speaker |
SPEAKER_06 |
transcript.pyannote[590].start |
5980.48034375 |
transcript.pyannote[590].end |
5980.95284375 |
transcript.pyannote[591].speaker |
SPEAKER_17 |
transcript.pyannote[591].start |
5982.11721875 |
transcript.pyannote[591].end |
5983.06221875 |
transcript.pyannote[592].speaker |
SPEAKER_17 |
transcript.pyannote[592].start |
5983.88909375 |
transcript.pyannote[592].end |
5984.42909375 |
transcript.pyannote[593].speaker |
SPEAKER_24 |
transcript.pyannote[593].start |
5992.09034375 |
transcript.pyannote[593].end |
6000.29159375 |
transcript.pyannote[594].speaker |
SPEAKER_24 |
transcript.pyannote[594].start |
6000.93284375 |
transcript.pyannote[594].end |
6006.46784375 |
transcript.pyannote[595].speaker |
SPEAKER_24 |
transcript.pyannote[595].start |
6006.87284375 |
transcript.pyannote[595].end |
6013.63971875 |
transcript.pyannote[596].speaker |
SPEAKER_24 |
transcript.pyannote[596].start |
6014.19659375 |
transcript.pyannote[596].end |
6016.03596875 |
transcript.pyannote[597].speaker |
SPEAKER_24 |
transcript.pyannote[597].start |
6016.40721875 |
transcript.pyannote[597].end |
6024.25409375 |
transcript.pyannote[598].speaker |
SPEAKER_24 |
transcript.pyannote[598].start |
6024.72659375 |
transcript.pyannote[598].end |
6038.78346875 |
transcript.pyannote[599].speaker |
SPEAKER_24 |
transcript.pyannote[599].start |
6039.23909375 |
transcript.pyannote[599].end |
6050.79846875 |
transcript.pyannote[600].speaker |
SPEAKER_24 |
transcript.pyannote[600].start |
6051.01784375 |
transcript.pyannote[600].end |
6060.31596875 |
transcript.pyannote[601].speaker |
SPEAKER_24 |
transcript.pyannote[601].start |
6060.56909375 |
transcript.pyannote[601].end |
6061.09221875 |
transcript.pyannote[602].speaker |
SPEAKER_24 |
transcript.pyannote[602].start |
6061.41284375 |
transcript.pyannote[602].end |
6067.43721875 |
transcript.pyannote[603].speaker |
SPEAKER_24 |
transcript.pyannote[603].start |
6067.69034375 |
transcript.pyannote[603].end |
6070.42409375 |
transcript.pyannote[604].speaker |
SPEAKER_24 |
transcript.pyannote[604].start |
6070.72784375 |
transcript.pyannote[604].end |
6092.91846875 |
transcript.pyannote[605].speaker |
SPEAKER_16 |
transcript.pyannote[605].start |
6096.59721875 |
transcript.pyannote[605].end |
6096.98534375 |
transcript.pyannote[606].speaker |
SPEAKER_16 |
transcript.pyannote[606].start |
6098.23409375 |
transcript.pyannote[606].end |
6100.71471875 |
transcript.pyannote[607].speaker |
SPEAKER_24 |
transcript.pyannote[607].start |
6098.30159375 |
transcript.pyannote[607].end |
6099.16221875 |
transcript.pyannote[608].speaker |
SPEAKER_16 |
transcript.pyannote[608].start |
6100.86659375 |
transcript.pyannote[608].end |
6102.50346875 |
transcript.pyannote[609].speaker |
SPEAKER_16 |
transcript.pyannote[609].start |
6103.39784375 |
transcript.pyannote[609].end |
6114.67034375 |
transcript.pyannote[610].speaker |
SPEAKER_17 |
transcript.pyannote[610].start |
6114.82221875 |
transcript.pyannote[610].end |
6120.01971875 |
transcript.pyannote[611].speaker |
SPEAKER_16 |
transcript.pyannote[611].start |
6118.46721875 |
transcript.pyannote[611].end |
6133.16534375 |
transcript.pyannote[612].speaker |
SPEAKER_16 |
transcript.pyannote[612].start |
6133.68846875 |
transcript.pyannote[612].end |
6141.83909375 |
transcript.pyannote[613].speaker |
SPEAKER_16 |
transcript.pyannote[613].start |
6142.49721875 |
transcript.pyannote[613].end |
6142.96971875 |
transcript.pyannote[614].speaker |
SPEAKER_16 |
transcript.pyannote[614].start |
6143.74596875 |
transcript.pyannote[614].end |
6153.21284375 |
transcript.pyannote[615].speaker |
SPEAKER_16 |
transcript.pyannote[615].start |
6153.61784375 |
transcript.pyannote[615].end |
6156.97596875 |
transcript.pyannote[616].speaker |
SPEAKER_16 |
transcript.pyannote[616].start |
6158.00534375 |
transcript.pyannote[616].end |
6173.93534375 |
transcript.pyannote[617].speaker |
SPEAKER_16 |
transcript.pyannote[617].start |
6174.55971875 |
transcript.pyannote[617].end |
6225.16784375 |
transcript.pyannote[618].speaker |
SPEAKER_16 |
transcript.pyannote[618].start |
6225.53909375 |
transcript.pyannote[618].end |
6233.43659375 |
transcript.pyannote[619].speaker |
SPEAKER_16 |
transcript.pyannote[619].start |
6233.97659375 |
transcript.pyannote[619].end |
6235.93409375 |
transcript.pyannote[620].speaker |
SPEAKER_16 |
transcript.pyannote[620].start |
6236.32221875 |
transcript.pyannote[620].end |
6237.38534375 |
transcript.pyannote[621].speaker |
SPEAKER_16 |
transcript.pyannote[621].start |
6238.26284375 |
transcript.pyannote[621].end |
6243.17346875 |
transcript.pyannote[622].speaker |
SPEAKER_16 |
transcript.pyannote[622].start |
6243.76409375 |
transcript.pyannote[622].end |
6273.02534375 |
transcript.pyannote[623].speaker |
SPEAKER_16 |
transcript.pyannote[623].start |
6273.21096875 |
transcript.pyannote[623].end |
6276.06284375 |
transcript.pyannote[624].speaker |
SPEAKER_17 |
transcript.pyannote[624].start |
6276.78846875 |
transcript.pyannote[624].end |
6277.19346875 |
transcript.pyannote[625].speaker |
SPEAKER_17 |
transcript.pyannote[625].start |
6278.56034375 |
transcript.pyannote[625].end |
6280.07909375 |
transcript.pyannote[626].speaker |
SPEAKER_13 |
transcript.pyannote[626].start |
6280.11284375 |
transcript.pyannote[626].end |
6280.16346875 |
transcript.pyannote[627].speaker |
SPEAKER_17 |
transcript.pyannote[627].start |
6280.16346875 |
transcript.pyannote[627].end |
6281.02409375 |
transcript.pyannote[628].speaker |
SPEAKER_13 |
transcript.pyannote[628].start |
6281.02409375 |
transcript.pyannote[628].end |
6281.05784375 |
transcript.pyannote[629].speaker |
SPEAKER_17 |
transcript.pyannote[629].start |
6281.05784375 |
transcript.pyannote[629].end |
6281.96909375 |
transcript.pyannote[630].speaker |
SPEAKER_13 |
transcript.pyannote[630].start |
6281.96909375 |
transcript.pyannote[630].end |
6282.59346875 |
transcript.pyannote[631].speaker |
SPEAKER_13 |
transcript.pyannote[631].start |
6283.13346875 |
transcript.pyannote[631].end |
6311.90534375 |
transcript.pyannote[632].speaker |
SPEAKER_13 |
transcript.pyannote[632].start |
6312.32721875 |
transcript.pyannote[632].end |
6313.77846875 |
transcript.pyannote[633].speaker |
SPEAKER_13 |
transcript.pyannote[633].start |
6313.94721875 |
transcript.pyannote[633].end |
6314.90909375 |
transcript.pyannote[634].speaker |
SPEAKER_13 |
transcript.pyannote[634].start |
6315.29721875 |
transcript.pyannote[634].end |
6316.30971875 |
transcript.pyannote[635].speaker |
SPEAKER_13 |
transcript.pyannote[635].start |
6316.46159375 |
transcript.pyannote[635].end |
6317.37284375 |
transcript.pyannote[636].speaker |
SPEAKER_13 |
transcript.pyannote[636].start |
6317.72721875 |
transcript.pyannote[636].end |
6325.74284375 |
transcript.pyannote[637].speaker |
SPEAKER_13 |
transcript.pyannote[637].start |
6326.24909375 |
transcript.pyannote[637].end |
6329.67471875 |
transcript.pyannote[638].speaker |
SPEAKER_06 |
transcript.pyannote[638].start |
6329.67471875 |
transcript.pyannote[638].end |
6331.68284375 |
transcript.pyannote[639].speaker |
SPEAKER_13 |
transcript.pyannote[639].start |
6331.76721875 |
transcript.pyannote[639].end |
6334.31534375 |
transcript.pyannote[640].speaker |
SPEAKER_06 |
transcript.pyannote[640].start |
6334.50096875 |
transcript.pyannote[640].end |
6336.79596875 |
transcript.pyannote[641].speaker |
SPEAKER_06 |
transcript.pyannote[641].start |
6337.13346875 |
transcript.pyannote[641].end |
6337.75784375 |
transcript.pyannote[642].speaker |
SPEAKER_13 |
transcript.pyannote[642].start |
6338.01096875 |
transcript.pyannote[642].end |
6338.46659375 |
transcript.pyannote[643].speaker |
SPEAKER_06 |
transcript.pyannote[643].start |
6338.58471875 |
transcript.pyannote[643].end |
6340.81221875 |
transcript.pyannote[644].speaker |
SPEAKER_13 |
transcript.pyannote[644].start |
6340.32284375 |
transcript.pyannote[644].end |
6370.07346875 |
transcript.pyannote[645].speaker |
SPEAKER_13 |
transcript.pyannote[645].start |
6370.49534375 |
transcript.pyannote[645].end |
6376.28346875 |
transcript.pyannote[646].speaker |
SPEAKER_13 |
transcript.pyannote[646].start |
6376.65471875 |
transcript.pyannote[646].end |
6390.66096875 |
transcript.pyannote[647].speaker |
SPEAKER_13 |
transcript.pyannote[647].start |
6391.15034375 |
transcript.pyannote[647].end |
6393.52971875 |
transcript.pyannote[648].speaker |
SPEAKER_13 |
transcript.pyannote[648].start |
6396.56721875 |
transcript.pyannote[648].end |
6396.75284375 |
transcript.pyannote[649].speaker |
SPEAKER_14 |
transcript.pyannote[649].start |
6396.75284375 |
transcript.pyannote[649].end |
6396.82034375 |
transcript.pyannote[650].speaker |
SPEAKER_14 |
transcript.pyannote[650].start |
6398.79471875 |
transcript.pyannote[650].end |
6400.73534375 |
transcript.pyannote[651].speaker |
SPEAKER_14 |
transcript.pyannote[651].start |
6400.83659375 |
transcript.pyannote[651].end |
6406.03409375 |
transcript.pyannote[652].speaker |
SPEAKER_13 |
transcript.pyannote[652].start |
6404.73471875 |
transcript.pyannote[652].end |
6404.98784375 |
transcript.pyannote[653].speaker |
SPEAKER_13 |
transcript.pyannote[653].start |
6406.03409375 |
transcript.pyannote[653].end |
6413.00346875 |
transcript.pyannote[654].speaker |
SPEAKER_14 |
transcript.pyannote[654].start |
6409.40909375 |
transcript.pyannote[654].end |
6409.86471875 |
transcript.pyannote[655].speaker |
SPEAKER_14 |
transcript.pyannote[655].start |
6411.07971875 |
transcript.pyannote[655].end |
6411.56909375 |
transcript.pyannote[656].speaker |
SPEAKER_14 |
transcript.pyannote[656].start |
6412.54784375 |
transcript.pyannote[656].end |
6418.30221875 |
transcript.pyannote[657].speaker |
SPEAKER_13 |
transcript.pyannote[657].start |
6417.66096875 |
transcript.pyannote[657].end |
6418.90971875 |
transcript.pyannote[658].speaker |
SPEAKER_14 |
transcript.pyannote[658].start |
6418.90971875 |
transcript.pyannote[658].end |
6421.45784375 |
transcript.pyannote[659].speaker |
SPEAKER_13 |
transcript.pyannote[659].start |
6421.45784375 |
transcript.pyannote[659].end |
6433.25346875 |
transcript.pyannote[660].speaker |
SPEAKER_13 |
transcript.pyannote[660].start |
6433.38846875 |
transcript.pyannote[660].end |
6440.00346875 |
transcript.pyannote[661].speaker |
SPEAKER_13 |
transcript.pyannote[661].start |
6440.47596875 |
transcript.pyannote[661].end |
6445.23471875 |
transcript.pyannote[662].speaker |
SPEAKER_13 |
transcript.pyannote[662].start |
6445.52159375 |
transcript.pyannote[662].end |
6453.31784375 |
transcript.pyannote[663].speaker |
SPEAKER_14 |
transcript.pyannote[663].start |
6453.73971875 |
transcript.pyannote[663].end |
6458.36346875 |
transcript.pyannote[664].speaker |
SPEAKER_13 |
transcript.pyannote[664].start |
6453.80721875 |
transcript.pyannote[664].end |
6454.14471875 |
transcript.pyannote[665].speaker |
SPEAKER_13 |
transcript.pyannote[665].start |
6455.46096875 |
transcript.pyannote[665].end |
6456.43971875 |
transcript.pyannote[666].speaker |
SPEAKER_13 |
transcript.pyannote[666].start |
6457.28346875 |
transcript.pyannote[666].end |
6458.39721875 |
transcript.pyannote[667].speaker |
SPEAKER_14 |
transcript.pyannote[667].start |
6458.39721875 |
transcript.pyannote[667].end |
6459.71346875 |
transcript.pyannote[668].speaker |
SPEAKER_13 |
transcript.pyannote[668].start |
6458.98784375 |
transcript.pyannote[668].end |
6459.91596875 |
transcript.pyannote[669].speaker |
SPEAKER_14 |
transcript.pyannote[669].start |
6459.91596875 |
transcript.pyannote[669].end |
6461.68784375 |
transcript.pyannote[670].speaker |
SPEAKER_13 |
transcript.pyannote[670].start |
6461.14784375 |
transcript.pyannote[670].end |
6466.19346875 |
transcript.pyannote[671].speaker |
SPEAKER_06 |
transcript.pyannote[671].start |
6466.00784375 |
transcript.pyannote[671].end |
6470.91846875 |
transcript.pyannote[672].speaker |
SPEAKER_13 |
transcript.pyannote[672].start |
6471.20534375 |
transcript.pyannote[672].end |
6471.54284375 |
transcript.pyannote[673].speaker |
SPEAKER_06 |
transcript.pyannote[673].start |
6471.54284375 |
transcript.pyannote[673].end |
6474.52971875 |
transcript.pyannote[674].speaker |
SPEAKER_13 |
transcript.pyannote[674].start |
6473.46659375 |
transcript.pyannote[674].end |
6473.85471875 |
transcript.pyannote[675].speaker |
SPEAKER_13 |
transcript.pyannote[675].start |
6474.49596875 |
transcript.pyannote[675].end |
6475.15409375 |
transcript.pyannote[676].speaker |
SPEAKER_06 |
transcript.pyannote[676].start |
6474.73221875 |
transcript.pyannote[676].end |
6476.68971875 |
transcript.pyannote[677].speaker |
SPEAKER_13 |
transcript.pyannote[677].start |
6476.31846875 |
transcript.pyannote[677].end |
6478.49534375 |
transcript.pyannote[678].speaker |
SPEAKER_13 |
transcript.pyannote[678].start |
6478.68096875 |
transcript.pyannote[678].end |
6506.33909375 |
transcript.pyannote[679].speaker |
SPEAKER_13 |
transcript.pyannote[679].start |
6506.64284375 |
transcript.pyannote[679].end |
6506.91284375 |
transcript.pyannote[680].speaker |
SPEAKER_06 |
transcript.pyannote[680].start |
6507.11534375 |
transcript.pyannote[680].end |
6510.52409375 |
transcript.pyannote[681].speaker |
SPEAKER_13 |
transcript.pyannote[681].start |
6510.25409375 |
transcript.pyannote[681].end |
6528.25971875 |
transcript.pyannote[682].speaker |
SPEAKER_13 |
transcript.pyannote[682].start |
6528.37784375 |
transcript.pyannote[682].end |
6529.54221875 |
transcript.pyannote[683].speaker |
SPEAKER_19 |
transcript.pyannote[683].start |
6530.01471875 |
transcript.pyannote[683].end |
6530.48721875 |
transcript.pyannote[684].speaker |
SPEAKER_13 |
transcript.pyannote[684].start |
6530.84159375 |
transcript.pyannote[684].end |
6533.11971875 |
transcript.pyannote[685].speaker |
SPEAKER_13 |
transcript.pyannote[685].start |
6533.47409375 |
transcript.pyannote[685].end |
6535.51596875 |
transcript.pyannote[686].speaker |
SPEAKER_13 |
transcript.pyannote[686].start |
6535.90409375 |
transcript.pyannote[686].end |
6549.99471875 |
transcript.pyannote[687].speaker |
SPEAKER_13 |
transcript.pyannote[687].start |
6550.48409375 |
transcript.pyannote[687].end |
6551.81721875 |
transcript.pyannote[688].speaker |
SPEAKER_13 |
transcript.pyannote[688].start |
6552.15471875 |
transcript.pyannote[688].end |
6555.29346875 |
transcript.pyannote[689].speaker |
SPEAKER_13 |
transcript.pyannote[689].start |
6556.67721875 |
transcript.pyannote[689].end |
6557.01471875 |
transcript.pyannote[690].speaker |
SPEAKER_13 |
transcript.pyannote[690].start |
6557.70659375 |
transcript.pyannote[690].end |
6563.08971875 |
transcript.pyannote[691].speaker |
SPEAKER_13 |
transcript.pyannote[691].start |
6563.64659375 |
transcript.pyannote[691].end |
6567.25784375 |
transcript.pyannote[692].speaker |
SPEAKER_13 |
transcript.pyannote[692].start |
6567.73034375 |
transcript.pyannote[692].end |
6568.23659375 |
transcript.pyannote[693].speaker |
SPEAKER_13 |
transcript.pyannote[693].start |
6568.50659375 |
transcript.pyannote[693].end |
6570.39659375 |
transcript.pyannote[694].speaker |
SPEAKER_13 |
transcript.pyannote[694].start |
6570.85221875 |
transcript.pyannote[694].end |
6579.39096875 |
transcript.pyannote[695].speaker |
SPEAKER_13 |
transcript.pyannote[695].start |
6579.66096875 |
transcript.pyannote[695].end |
6582.74909375 |
transcript.pyannote[696].speaker |
SPEAKER_13 |
transcript.pyannote[696].start |
6583.10346875 |
transcript.pyannote[696].end |
6592.72221875 |
transcript.pyannote[697].speaker |
SPEAKER_13 |
transcript.pyannote[697].start |
6593.04284375 |
transcript.pyannote[697].end |
6647.51534375 |
transcript.pyannote[698].speaker |
SPEAKER_00 |
transcript.pyannote[698].start |
6627.16409375 |
transcript.pyannote[698].end |
6627.55221875 |
transcript.pyannote[699].speaker |
SPEAKER_13 |
transcript.pyannote[699].start |
6647.97096875 |
transcript.pyannote[699].end |
6649.38846875 |
transcript.pyannote[700].speaker |
SPEAKER_13 |
transcript.pyannote[700].start |
6649.92846875 |
transcript.pyannote[700].end |
6651.26159375 |
transcript.pyannote[701].speaker |
SPEAKER_13 |
transcript.pyannote[701].start |
6651.48096875 |
transcript.pyannote[701].end |
6651.58221875 |
transcript.pyannote[702].speaker |
SPEAKER_13 |
transcript.pyannote[702].start |
6652.00409375 |
transcript.pyannote[702].end |
6655.59846875 |
transcript.pyannote[703].speaker |
SPEAKER_13 |
transcript.pyannote[703].start |
6655.78409375 |
transcript.pyannote[703].end |
6670.14471875 |
transcript.pyannote[704].speaker |
SPEAKER_13 |
transcript.pyannote[704].start |
6670.31346875 |
transcript.pyannote[704].end |
6670.81971875 |
transcript.pyannote[705].speaker |
SPEAKER_13 |
transcript.pyannote[705].start |
6671.20784375 |
transcript.pyannote[705].end |
6711.62346875 |
transcript.pyannote[706].speaker |
SPEAKER_13 |
transcript.pyannote[706].start |
6711.91034375 |
transcript.pyannote[706].end |
6743.44971875 |
transcript.pyannote[707].speaker |
SPEAKER_13 |
transcript.pyannote[707].start |
6743.71971875 |
transcript.pyannote[707].end |
6773.35221875 |
transcript.pyannote[708].speaker |
SPEAKER_13 |
transcript.pyannote[708].start |
6781.06409375 |
transcript.pyannote[708].end |
6781.53659375 |
transcript.pyannote[709].speaker |
SPEAKER_13 |
transcript.pyannote[709].start |
6784.05096875 |
transcript.pyannote[709].end |
6786.59909375 |
transcript.pyannote[710].speaker |
SPEAKER_13 |
transcript.pyannote[710].start |
6787.83096875 |
transcript.pyannote[710].end |
6789.28221875 |
transcript.pyannote[711].speaker |
SPEAKER_13 |
transcript.pyannote[711].start |
6789.61971875 |
transcript.pyannote[711].end |
6792.38721875 |
transcript.pyannote[712].speaker |
SPEAKER_13 |
transcript.pyannote[712].start |
6792.64034375 |
transcript.pyannote[712].end |
6797.90534375 |
transcript.pyannote[713].speaker |
SPEAKER_13 |
transcript.pyannote[713].start |
6798.39471875 |
transcript.pyannote[713].end |
6802.68096875 |
transcript.pyannote[714].speaker |
SPEAKER_13 |
transcript.pyannote[714].start |
6802.91721875 |
transcript.pyannote[714].end |
6806.79846875 |
transcript.pyannote[715].speaker |
SPEAKER_13 |
transcript.pyannote[715].start |
6814.12221875 |
transcript.pyannote[715].end |
6814.62846875 |
transcript.pyannote[716].speaker |
SPEAKER_13 |
transcript.pyannote[716].start |
6815.84346875 |
transcript.pyannote[716].end |
6816.16409375 |
transcript.pyannote[717].speaker |
SPEAKER_13 |
transcript.pyannote[717].start |
6816.50159375 |
transcript.pyannote[717].end |
6816.75471875 |
transcript.pyannote[718].speaker |
SPEAKER_13 |
transcript.pyannote[718].start |
6817.22721875 |
transcript.pyannote[718].end |
6817.71659375 |
transcript.pyannote[719].speaker |
SPEAKER_13 |
transcript.pyannote[719].start |
6818.02034375 |
transcript.pyannote[719].end |
6819.57284375 |
transcript.pyannote[720].speaker |
SPEAKER_13 |
transcript.pyannote[720].start |
6819.80909375 |
transcript.pyannote[720].end |
6820.65284375 |
transcript.pyannote[721].speaker |
SPEAKER_13 |
transcript.pyannote[721].start |
6821.51346875 |
transcript.pyannote[721].end |
6825.63096875 |
transcript.pyannote[722].speaker |
SPEAKER_13 |
transcript.pyannote[722].start |
6826.08659375 |
transcript.pyannote[722].end |
6826.55909375 |
transcript.pyannote[723].speaker |
SPEAKER_13 |
transcript.pyannote[723].start |
6829.69784375 |
transcript.pyannote[723].end |
6830.38971875 |
transcript.pyannote[724].speaker |
SPEAKER_13 |
transcript.pyannote[724].start |
6830.45721875 |
transcript.pyannote[724].end |
6834.67596875 |
transcript.pyannote[725].speaker |
SPEAKER_13 |
transcript.pyannote[725].start |
6835.18221875 |
transcript.pyannote[725].end |
6839.36721875 |
transcript.pyannote[726].speaker |
SPEAKER_03 |
transcript.pyannote[726].start |
6845.88096875 |
transcript.pyannote[726].end |
6851.43284375 |
transcript.pyannote[727].speaker |
SPEAKER_03 |
transcript.pyannote[727].start |
6852.14159375 |
transcript.pyannote[727].end |
6854.97659375 |
transcript.pyannote[728].speaker |
SPEAKER_13 |
transcript.pyannote[728].start |
6852.25971875 |
transcript.pyannote[728].end |
6852.76596875 |
transcript.pyannote[729].speaker |
SPEAKER_13 |
transcript.pyannote[729].start |
6853.87971875 |
transcript.pyannote[729].end |
6853.93034375 |
transcript.pyannote[730].speaker |
SPEAKER_13 |
transcript.pyannote[730].start |
6854.65596875 |
transcript.pyannote[730].end |
6866.51909375 |
transcript.pyannote[731].speaker |
SPEAKER_03 |
transcript.pyannote[731].start |
6863.31284375 |
transcript.pyannote[731].end |
6887.95034375 |
transcript.pyannote[732].speaker |
SPEAKER_19 |
transcript.pyannote[732].start |
6871.34534375 |
transcript.pyannote[732].end |
6871.64909375 |
transcript.pyannote[733].speaker |
SPEAKER_19 |
transcript.pyannote[733].start |
6876.13784375 |
transcript.pyannote[733].end |
6876.45846875 |
transcript.pyannote[734].speaker |
SPEAKER_03 |
transcript.pyannote[734].start |
6888.30471875 |
transcript.pyannote[734].end |
6892.81034375 |
transcript.pyannote[735].speaker |
SPEAKER_13 |
transcript.pyannote[735].start |
6894.95346875 |
transcript.pyannote[735].end |
6905.71971875 |
transcript.pyannote[736].speaker |
SPEAKER_03 |
transcript.pyannote[736].start |
6906.91784375 |
transcript.pyannote[736].end |
6906.95159375 |
transcript.pyannote[737].speaker |
SPEAKER_17 |
transcript.pyannote[737].start |
6906.95159375 |
transcript.pyannote[737].end |
6906.96846875 |
transcript.pyannote[738].speaker |
SPEAKER_03 |
transcript.pyannote[738].start |
6906.96846875 |
transcript.pyannote[738].end |
6907.00221875 |
transcript.pyannote[739].speaker |
SPEAKER_17 |
transcript.pyannote[739].start |
6907.00221875 |
transcript.pyannote[739].end |
6907.94721875 |
transcript.pyannote[740].speaker |
SPEAKER_03 |
transcript.pyannote[740].start |
6907.94721875 |
transcript.pyannote[740].end |
6912.70596875 |
transcript.pyannote[741].speaker |
SPEAKER_17 |
transcript.pyannote[741].start |
6908.18346875 |
transcript.pyannote[741].end |
6908.40284375 |
transcript.pyannote[742].speaker |
SPEAKER_13 |
transcript.pyannote[742].start |
6908.40284375 |
transcript.pyannote[742].end |
6908.97659375 |
transcript.pyannote[743].speaker |
SPEAKER_17 |
transcript.pyannote[743].start |
6908.97659375 |
transcript.pyannote[743].end |
6909.12846875 |
transcript.pyannote[744].speaker |
SPEAKER_17 |
transcript.pyannote[744].start |
6912.70596875 |
transcript.pyannote[744].end |
6912.90846875 |
transcript.pyannote[745].speaker |
SPEAKER_17 |
transcript.pyannote[745].start |
6913.33034375 |
transcript.pyannote[745].end |
6915.92909375 |
transcript.pyannote[746].speaker |
SPEAKER_17 |
transcript.pyannote[746].start |
6921.24471875 |
transcript.pyannote[746].end |
6921.27846875 |
transcript.pyannote[747].speaker |
SPEAKER_25 |
transcript.pyannote[747].start |
6921.27846875 |
transcript.pyannote[747].end |
6922.20659375 |
transcript.pyannote[748].speaker |
SPEAKER_25 |
transcript.pyannote[748].start |
6922.79721875 |
transcript.pyannote[748].end |
6958.04909375 |
transcript.pyannote[749].speaker |
SPEAKER_25 |
transcript.pyannote[749].start |
6958.20096875 |
transcript.pyannote[749].end |
6962.57159375 |
transcript.pyannote[750].speaker |
SPEAKER_25 |
transcript.pyannote[750].start |
6962.85846875 |
transcript.pyannote[750].end |
6972.34221875 |
transcript.pyannote[751].speaker |
SPEAKER_25 |
transcript.pyannote[751].start |
6972.47721875 |
transcript.pyannote[751].end |
6972.78096875 |
transcript.pyannote[752].speaker |
SPEAKER_25 |
transcript.pyannote[752].start |
6973.74284375 |
transcript.pyannote[752].end |
6985.15034375 |
transcript.pyannote[753].speaker |
SPEAKER_25 |
transcript.pyannote[753].start |
6985.16721875 |
transcript.pyannote[753].end |
6989.16659375 |
transcript.pyannote[754].speaker |
SPEAKER_13 |
transcript.pyannote[754].start |
6989.16659375 |
transcript.pyannote[754].end |
6989.18346875 |
transcript.pyannote[755].speaker |
SPEAKER_25 |
transcript.pyannote[755].start |
6990.63471875 |
transcript.pyannote[755].end |
6990.66846875 |
transcript.pyannote[756].speaker |
SPEAKER_13 |
transcript.pyannote[756].start |
6990.66846875 |
transcript.pyannote[756].end |
6991.79909375 |
transcript.pyannote[757].speaker |
SPEAKER_13 |
transcript.pyannote[757].start |
6992.25471875 |
transcript.pyannote[757].end |
6995.95034375 |
transcript.pyannote[758].speaker |
SPEAKER_13 |
transcript.pyannote[758].start |
6996.57471875 |
transcript.pyannote[758].end |
7009.78784375 |
transcript.pyannote[759].speaker |
SPEAKER_13 |
transcript.pyannote[759].start |
7009.85534375 |
transcript.pyannote[759].end |
7011.89721875 |
transcript.pyannote[760].speaker |
SPEAKER_13 |
transcript.pyannote[760].start |
7012.15034375 |
transcript.pyannote[760].end |
7015.96409375 |
transcript.pyannote[761].speaker |
SPEAKER_13 |
transcript.pyannote[761].start |
7018.30971875 |
transcript.pyannote[761].end |
7018.32659375 |
transcript.pyannote[762].speaker |
SPEAKER_17 |
transcript.pyannote[762].start |
7018.32659375 |
transcript.pyannote[762].end |
7020.06471875 |
transcript.pyannote[763].speaker |
SPEAKER_17 |
transcript.pyannote[763].start |
7021.16159375 |
transcript.pyannote[763].end |
7022.41034375 |
transcript.pyannote[764].speaker |
SPEAKER_17 |
transcript.pyannote[764].start |
7022.73096875 |
transcript.pyannote[764].end |
7023.43971875 |
transcript.pyannote[765].speaker |
SPEAKER_17 |
transcript.pyannote[765].start |
7354.59471875 |
transcript.pyannote[765].end |
7358.69534375 |
transcript.pyannote[766].speaker |
SPEAKER_17 |
transcript.pyannote[766].start |
7359.01596875 |
transcript.pyannote[766].end |
7382.92784375 |
transcript.pyannote[767].speaker |
SPEAKER_17 |
transcript.pyannote[767].start |
7382.96159375 |
transcript.pyannote[767].end |
7383.34971875 |
transcript.pyannote[768].speaker |
SPEAKER_17 |
transcript.pyannote[768].start |
7385.22284375 |
transcript.pyannote[768].end |
7385.84721875 |
transcript.pyannote[769].speaker |
SPEAKER_17 |
transcript.pyannote[769].start |
7387.60221875 |
transcript.pyannote[769].end |
7394.60534375 |
transcript.pyannote[770].speaker |
SPEAKER_17 |
transcript.pyannote[770].start |
7396.20846875 |
transcript.pyannote[770].end |
7402.26659375 |
transcript.pyannote[771].speaker |
SPEAKER_17 |
transcript.pyannote[771].start |
7402.36784375 |
transcript.pyannote[771].end |
7402.84034375 |
transcript.pyannote[772].speaker |
SPEAKER_17 |
transcript.pyannote[772].start |
7403.41409375 |
transcript.pyannote[772].end |
7403.85284375 |
transcript.pyannote[773].speaker |
SPEAKER_17 |
transcript.pyannote[773].start |
7404.40971875 |
transcript.pyannote[773].end |
7404.69659375 |
transcript.pyannote[774].speaker |
SPEAKER_17 |
transcript.pyannote[774].start |
7404.96659375 |
transcript.pyannote[774].end |
7406.23221875 |
transcript.pyannote[775].speaker |
SPEAKER_17 |
transcript.pyannote[775].start |
7408.03784375 |
transcript.pyannote[775].end |
7408.30784375 |
transcript.pyannote[776].speaker |
SPEAKER_17 |
transcript.pyannote[776].start |
7408.54409375 |
transcript.pyannote[776].end |
7410.72096875 |
transcript.pyannote[777].speaker |
SPEAKER_19 |
transcript.pyannote[777].start |
7410.53534375 |
transcript.pyannote[777].end |
7410.67034375 |
transcript.pyannote[778].speaker |
SPEAKER_19 |
transcript.pyannote[778].start |
7410.72096875 |
transcript.pyannote[778].end |
7410.78846875 |
transcript.pyannote[779].speaker |
SPEAKER_19 |
transcript.pyannote[779].start |
7411.96971875 |
transcript.pyannote[779].end |
7412.03721875 |
transcript.pyannote[780].speaker |
SPEAKER_19 |
transcript.pyannote[780].start |
7412.17221875 |
transcript.pyannote[780].end |
7412.47596875 |
transcript.pyannote[781].speaker |
SPEAKER_19 |
transcript.pyannote[781].start |
7412.96534375 |
transcript.pyannote[781].end |
7413.01596875 |
transcript.pyannote[782].speaker |
SPEAKER_17 |
transcript.pyannote[782].start |
8348.81909375 |
transcript.pyannote[782].end |
8352.41346875 |
transcript.pyannote[783].speaker |
SPEAKER_21 |
transcript.pyannote[783].start |
8355.01221875 |
transcript.pyannote[783].end |
8356.39596875 |
transcript.pyannote[784].speaker |
SPEAKER_17 |
transcript.pyannote[784].start |
8359.41659375 |
transcript.pyannote[784].end |
8367.02721875 |
transcript.pyannote[785].speaker |
SPEAKER_17 |
transcript.pyannote[785].start |
8367.46596875 |
transcript.pyannote[785].end |
8368.84971875 |
transcript.pyannote[786].speaker |
SPEAKER_17 |
transcript.pyannote[786].start |
8372.19096875 |
transcript.pyannote[786].end |
8372.98409375 |
transcript.pyannote[787].speaker |
SPEAKER_11 |
transcript.pyannote[787].start |
8374.94159375 |
transcript.pyannote[787].end |
8375.78534375 |
transcript.pyannote[788].speaker |
SPEAKER_11 |
transcript.pyannote[788].start |
8376.73034375 |
transcript.pyannote[788].end |
8413.50096875 |
transcript.pyannote[789].speaker |
SPEAKER_00 |
transcript.pyannote[789].start |
8385.70784375 |
transcript.pyannote[789].end |
8386.12971875 |
transcript.pyannote[790].speaker |
SPEAKER_17 |
transcript.pyannote[790].start |
8415.10409375 |
transcript.pyannote[790].end |
8415.52596875 |
transcript.pyannote[791].speaker |
SPEAKER_21 |
transcript.pyannote[791].start |
8416.15034375 |
transcript.pyannote[791].end |
8419.25534375 |
transcript.pyannote[792].speaker |
SPEAKER_17 |
transcript.pyannote[792].start |
8419.25534375 |
transcript.pyannote[792].end |
8428.97534375 |
transcript.pyannote[793].speaker |
SPEAKER_26 |
transcript.pyannote[793].start |
8429.46471875 |
transcript.pyannote[793].end |
8436.97409375 |
transcript.pyannote[794].speaker |
SPEAKER_26 |
transcript.pyannote[794].start |
8437.19346875 |
transcript.pyannote[794].end |
8440.78784375 |
transcript.pyannote[795].speaker |
SPEAKER_26 |
transcript.pyannote[795].start |
8440.92284375 |
transcript.pyannote[795].end |
8457.71346875 |
transcript.pyannote[796].speaker |
SPEAKER_26 |
transcript.pyannote[796].start |
8457.96659375 |
transcript.pyannote[796].end |
8466.77534375 |
transcript.pyannote[797].speaker |
SPEAKER_17 |
transcript.pyannote[797].start |
8468.81721875 |
transcript.pyannote[797].end |
8469.79596875 |
transcript.pyannote[798].speaker |
SPEAKER_17 |
transcript.pyannote[798].start |
8470.13346875 |
transcript.pyannote[798].end |
8471.53409375 |
transcript.pyannote[799].speaker |
SPEAKER_17 |
transcript.pyannote[799].start |
8472.20909375 |
transcript.pyannote[799].end |
8472.49596875 |
transcript.pyannote[800].speaker |
SPEAKER_19 |
transcript.pyannote[800].start |
8472.49596875 |
transcript.pyannote[800].end |
8472.51284375 |
transcript.pyannote[801].speaker |
SPEAKER_14 |
transcript.pyannote[801].start |
8475.24659375 |
transcript.pyannote[801].end |
8481.00096875 |
transcript.pyannote[802].speaker |
SPEAKER_14 |
transcript.pyannote[802].start |
8481.43971875 |
transcript.pyannote[802].end |
8485.50659375 |
transcript.pyannote[803].speaker |
SPEAKER_14 |
transcript.pyannote[803].start |
8485.91159375 |
transcript.pyannote[803].end |
8488.69596875 |
transcript.pyannote[804].speaker |
SPEAKER_14 |
transcript.pyannote[804].start |
8489.18534375 |
transcript.pyannote[804].end |
8518.31159375 |
transcript.pyannote[805].speaker |
SPEAKER_14 |
transcript.pyannote[805].start |
8518.59846875 |
transcript.pyannote[805].end |
8519.83034375 |
transcript.pyannote[806].speaker |
SPEAKER_14 |
transcript.pyannote[806].start |
8520.42096875 |
transcript.pyannote[806].end |
8525.63534375 |
transcript.pyannote[807].speaker |
SPEAKER_14 |
transcript.pyannote[807].start |
8526.51284375 |
transcript.pyannote[807].end |
8530.71471875 |
transcript.pyannote[808].speaker |
SPEAKER_14 |
transcript.pyannote[808].start |
8531.82846875 |
transcript.pyannote[808].end |
8538.49409375 |
transcript.pyannote[809].speaker |
SPEAKER_14 |
transcript.pyannote[809].start |
8539.01721875 |
transcript.pyannote[809].end |
8540.08034375 |
transcript.pyannote[810].speaker |
SPEAKER_14 |
transcript.pyannote[810].start |
8540.70471875 |
transcript.pyannote[810].end |
8542.03784375 |
transcript.pyannote[811].speaker |
SPEAKER_14 |
transcript.pyannote[811].start |
8542.32471875 |
transcript.pyannote[811].end |
8544.61971875 |
transcript.pyannote[812].speaker |
SPEAKER_14 |
transcript.pyannote[812].start |
8545.15971875 |
transcript.pyannote[812].end |
8549.73284375 |
transcript.pyannote[813].speaker |
SPEAKER_14 |
transcript.pyannote[813].start |
8550.54284375 |
transcript.pyannote[813].end |
8551.11659375 |
transcript.pyannote[814].speaker |
SPEAKER_14 |
transcript.pyannote[814].start |
8551.72409375 |
transcript.pyannote[814].end |
8552.60159375 |
transcript.pyannote[815].speaker |
SPEAKER_14 |
transcript.pyannote[815].start |
8552.85471875 |
transcript.pyannote[815].end |
8554.47471875 |
transcript.pyannote[816].speaker |
SPEAKER_17 |
transcript.pyannote[816].start |
8554.93034375 |
transcript.pyannote[816].end |
8556.39846875 |
transcript.pyannote[817].speaker |
SPEAKER_25 |
transcript.pyannote[817].start |
8558.33909375 |
transcript.pyannote[817].end |
8562.52409375 |
transcript.pyannote[818].speaker |
SPEAKER_25 |
transcript.pyannote[818].start |
8562.99659375 |
transcript.pyannote[818].end |
8581.39034375 |
transcript.pyannote[819].speaker |
SPEAKER_25 |
transcript.pyannote[819].start |
8581.71096875 |
transcript.pyannote[819].end |
8588.42721875 |
transcript.pyannote[820].speaker |
SPEAKER_25 |
transcript.pyannote[820].start |
8588.78159375 |
transcript.pyannote[820].end |
8591.92034375 |
transcript.pyannote[821].speaker |
SPEAKER_25 |
transcript.pyannote[821].start |
8592.19034375 |
transcript.pyannote[821].end |
8594.92409375 |
transcript.pyannote[822].speaker |
SPEAKER_25 |
transcript.pyannote[822].start |
8595.41346875 |
transcript.pyannote[822].end |
8599.90221875 |
transcript.pyannote[823].speaker |
SPEAKER_25 |
transcript.pyannote[823].start |
8600.29034375 |
transcript.pyannote[823].end |
8601.38721875 |
transcript.pyannote[824].speaker |
SPEAKER_25 |
transcript.pyannote[824].start |
8601.96096875 |
transcript.pyannote[824].end |
8608.57596875 |
transcript.pyannote[825].speaker |
SPEAKER_17 |
transcript.pyannote[825].start |
8610.60096875 |
transcript.pyannote[825].end |
8611.29284375 |
transcript.pyannote[826].speaker |
SPEAKER_24 |
transcript.pyannote[826].start |
8613.50346875 |
transcript.pyannote[826].end |
8633.73659375 |
transcript.pyannote[827].speaker |
SPEAKER_24 |
transcript.pyannote[827].start |
8633.93909375 |
transcript.pyannote[827].end |
8663.45346875 |
transcript.pyannote[828].speaker |
SPEAKER_17 |
transcript.pyannote[828].start |
8672.19471875 |
transcript.pyannote[828].end |
8673.12284375 |
transcript.pyannote[829].speaker |
SPEAKER_17 |
transcript.pyannote[829].start |
8674.94534375 |
transcript.pyannote[829].end |
8676.91971875 |
transcript.pyannote[830].speaker |
SPEAKER_13 |
transcript.pyannote[830].start |
8678.35409375 |
transcript.pyannote[830].end |
8683.56846875 |
transcript.pyannote[831].speaker |
SPEAKER_13 |
transcript.pyannote[831].start |
8683.83846875 |
transcript.pyannote[831].end |
8707.96971875 |
transcript.pyannote[832].speaker |
SPEAKER_13 |
transcript.pyannote[832].start |
8708.39159375 |
transcript.pyannote[832].end |
8715.64784375 |
transcript.pyannote[833].speaker |
SPEAKER_13 |
transcript.pyannote[833].start |
8715.79971875 |
transcript.pyannote[833].end |
8758.57784375 |
transcript.pyannote[834].speaker |
SPEAKER_13 |
transcript.pyannote[834].start |
8758.96596875 |
transcript.pyannote[834].end |
8762.88096875 |
transcript.pyannote[835].speaker |
SPEAKER_13 |
transcript.pyannote[835].start |
8763.21846875 |
transcript.pyannote[835].end |
8768.82096875 |
transcript.pyannote[836].speaker |
SPEAKER_13 |
transcript.pyannote[836].start |
8769.44534375 |
transcript.pyannote[836].end |
8769.81659375 |
transcript.pyannote[837].speaker |
SPEAKER_13 |
transcript.pyannote[837].start |
8770.17096875 |
transcript.pyannote[837].end |
8798.38596875 |
transcript.pyannote[838].speaker |
SPEAKER_17 |
transcript.pyannote[838].start |
8804.98409375 |
transcript.pyannote[838].end |
8806.43534375 |
transcript.pyannote[839].speaker |
SPEAKER_17 |
transcript.pyannote[839].start |
8962.25909375 |
transcript.pyannote[839].end |
8962.66409375 |
transcript.pyannote[840].speaker |
SPEAKER_17 |
transcript.pyannote[840].start |
8962.96784375 |
transcript.pyannote[840].end |
8975.21909375 |
transcript.pyannote[841].speaker |
SPEAKER_17 |
transcript.pyannote[841].start |
8976.09659375 |
transcript.pyannote[841].end |
8976.31596875 |
transcript.pyannote[842].speaker |
SPEAKER_17 |
transcript.pyannote[842].start |
8977.39596875 |
transcript.pyannote[842].end |
8977.68284375 |
transcript.pyannote[843].speaker |
SPEAKER_17 |
transcript.pyannote[843].start |
8977.85159375 |
transcript.pyannote[843].end |
8978.76284375 |
transcript.pyannote[844].speaker |
SPEAKER_17 |
transcript.pyannote[844].start |
8980.07909375 |
transcript.pyannote[844].end |
8981.66534375 |
transcript.pyannote[845].speaker |
SPEAKER_17 |
transcript.pyannote[845].start |
8981.91846875 |
transcript.pyannote[845].end |
8983.38659375 |
transcript.pyannote[846].speaker |
SPEAKER_17 |
transcript.pyannote[846].start |
8983.65659375 |
transcript.pyannote[846].end |
8984.02784375 |
transcript.pyannote[847].speaker |
SPEAKER_17 |
transcript.pyannote[847].start |
8984.24721875 |
transcript.pyannote[847].end |
8985.59721875 |
transcript.pyannote[848].speaker |
SPEAKER_17 |
transcript.pyannote[848].start |
8986.10346875 |
transcript.pyannote[848].end |
8986.20471875 |
transcript.pyannote[849].speaker |
SPEAKER_15 |
transcript.pyannote[849].start |
8986.20471875 |
transcript.pyannote[849].end |
8986.25534375 |
transcript.pyannote[850].speaker |
SPEAKER_14 |
transcript.pyannote[850].start |
8990.96346875 |
transcript.pyannote[850].end |
8991.09846875 |
transcript.pyannote[851].speaker |
SPEAKER_15 |
transcript.pyannote[851].start |
8991.09846875 |
transcript.pyannote[851].end |
8991.97596875 |
transcript.pyannote[852].speaker |
SPEAKER_14 |
transcript.pyannote[852].start |
8991.97596875 |
transcript.pyannote[852].end |
8992.24596875 |
transcript.pyannote[853].speaker |
SPEAKER_15 |
transcript.pyannote[853].start |
8992.24596875 |
transcript.pyannote[853].end |
8992.27971875 |
transcript.pyannote[854].speaker |
SPEAKER_14 |
transcript.pyannote[854].start |
8992.27971875 |
transcript.pyannote[854].end |
8992.43159375 |
transcript.pyannote[855].speaker |
SPEAKER_15 |
transcript.pyannote[855].start |
8992.43159375 |
transcript.pyannote[855].end |
8992.53284375 |
transcript.pyannote[856].speaker |
SPEAKER_14 |
transcript.pyannote[856].start |
8992.53284375 |
transcript.pyannote[856].end |
8993.05596875 |
transcript.pyannote[857].speaker |
SPEAKER_17 |
transcript.pyannote[857].start |
8995.92471875 |
transcript.pyannote[857].end |
8999.87346875 |
transcript.pyannote[858].speaker |
SPEAKER_17 |
transcript.pyannote[858].start |
9000.54846875 |
transcript.pyannote[858].end |
9001.83096875 |
transcript.pyannote[859].speaker |
SPEAKER_17 |
transcript.pyannote[859].start |
9002.42159375 |
transcript.pyannote[859].end |
9005.35784375 |
transcript.pyannote[860].speaker |
SPEAKER_18 |
transcript.pyannote[860].start |
9005.96534375 |
transcript.pyannote[860].end |
9006.03284375 |
transcript.pyannote[861].speaker |
SPEAKER_17 |
transcript.pyannote[861].start |
9008.56409375 |
transcript.pyannote[861].end |
9009.96471875 |
transcript.pyannote[862].speaker |
SPEAKER_17 |
transcript.pyannote[862].start |
9012.27659375 |
transcript.pyannote[862].end |
9013.77846875 |
transcript.pyannote[863].speaker |
SPEAKER_17 |
transcript.pyannote[863].start |
9013.96409375 |
transcript.pyannote[863].end |
9014.04846875 |
transcript.pyannote[864].speaker |
SPEAKER_17 |
transcript.pyannote[864].start |
9014.14971875 |
transcript.pyannote[864].end |
9018.23346875 |
transcript.pyannote[865].speaker |
SPEAKER_17 |
transcript.pyannote[865].start |
9019.21221875 |
transcript.pyannote[865].end |
9022.50284375 |
transcript.pyannote[866].speaker |
SPEAKER_17 |
transcript.pyannote[866].start |
9023.65034375 |
transcript.pyannote[866].end |
9023.98784375 |
transcript.pyannote[867].speaker |
SPEAKER_17 |
transcript.pyannote[867].start |
9024.76409375 |
transcript.pyannote[867].end |
9025.96221875 |
transcript.pyannote[868].speaker |
SPEAKER_17 |
transcript.pyannote[868].start |
9027.24471875 |
transcript.pyannote[868].end |
9028.51034375 |
transcript.pyannote[869].speaker |
SPEAKER_17 |
transcript.pyannote[869].start |
9029.18534375 |
transcript.pyannote[869].end |
9029.57346875 |
transcript.pyannote[870].speaker |
SPEAKER_17 |
transcript.pyannote[870].start |
9030.92346875 |
transcript.pyannote[870].end |
9032.96534375 |
transcript.pyannote[871].speaker |
SPEAKER_13 |
transcript.pyannote[871].start |
9032.96534375 |
transcript.pyannote[871].end |
9033.57284375 |
transcript.pyannote[872].speaker |
SPEAKER_13 |
transcript.pyannote[872].start |
9033.99471875 |
transcript.pyannote[872].end |
9034.43346875 |
transcript.pyannote[873].speaker |
SPEAKER_13 |
transcript.pyannote[873].start |
9035.04096875 |
transcript.pyannote[873].end |
9046.38096875 |
transcript.pyannote[874].speaker |
SPEAKER_13 |
transcript.pyannote[874].start |
9046.70159375 |
transcript.pyannote[874].end |
9056.48909375 |
transcript.pyannote[875].speaker |
SPEAKER_13 |
transcript.pyannote[875].start |
9056.64096875 |
transcript.pyannote[875].end |
9056.75909375 |
transcript.pyannote[876].speaker |
SPEAKER_18 |
transcript.pyannote[876].start |
9056.75909375 |
transcript.pyannote[876].end |
9056.87721875 |
transcript.pyannote[877].speaker |
SPEAKER_13 |
transcript.pyannote[877].start |
9056.87721875 |
transcript.pyannote[877].end |
9060.30284375 |
transcript.pyannote[878].speaker |
SPEAKER_13 |
transcript.pyannote[878].start |
9060.43784375 |
transcript.pyannote[878].end |
9060.67409375 |
transcript.pyannote[879].speaker |
SPEAKER_17 |
transcript.pyannote[879].start |
9060.67409375 |
transcript.pyannote[879].end |
9062.49659375 |
transcript.pyannote[880].speaker |
SPEAKER_19 |
transcript.pyannote[880].start |
9062.49659375 |
transcript.pyannote[880].end |
9062.76659375 |
transcript.pyannote[881].speaker |
SPEAKER_17 |
transcript.pyannote[881].start |
9062.76659375 |
transcript.pyannote[881].end |
9063.18846875 |
transcript.pyannote[882].speaker |
SPEAKER_17 |
transcript.pyannote[882].start |
9064.40346875 |
transcript.pyannote[882].end |
9065.17971875 |
transcript.pyannote[883].speaker |
SPEAKER_17 |
transcript.pyannote[883].start |
9065.66909375 |
transcript.pyannote[883].end |
9068.48721875 |
transcript.pyannote[884].speaker |
SPEAKER_17 |
transcript.pyannote[884].start |
9068.80784375 |
transcript.pyannote[884].end |
9077.65034375 |
transcript.pyannote[885].speaker |
SPEAKER_17 |
transcript.pyannote[885].start |
9078.91596875 |
transcript.pyannote[885].end |
9079.15221875 |
transcript.pyannote[886].speaker |
SPEAKER_17 |
transcript.pyannote[886].start |
9079.94534375 |
transcript.pyannote[886].end |
9080.95784375 |
transcript.pyannote[887].speaker |
SPEAKER_24 |
transcript.pyannote[887].start |
9082.89846875 |
transcript.pyannote[887].end |
9088.66971875 |
transcript.pyannote[888].speaker |
SPEAKER_24 |
transcript.pyannote[888].start |
9088.95659375 |
transcript.pyannote[888].end |
9091.30221875 |
transcript.pyannote[889].speaker |
SPEAKER_24 |
transcript.pyannote[889].start |
9091.50471875 |
transcript.pyannote[889].end |
9117.59346875 |
transcript.pyannote[890].speaker |
SPEAKER_24 |
transcript.pyannote[890].start |
9117.64409375 |
transcript.pyannote[890].end |
9129.10221875 |
transcript.pyannote[891].speaker |
SPEAKER_17 |
transcript.pyannote[891].start |
9131.44784375 |
transcript.pyannote[891].end |
9132.52784375 |
transcript.pyannote[892].speaker |
SPEAKER_11 |
transcript.pyannote[892].start |
9133.06784375 |
transcript.pyannote[892].end |
9155.79846875 |
transcript.pyannote[893].speaker |
SPEAKER_17 |
transcript.pyannote[893].start |
9158.71784375 |
transcript.pyannote[893].end |
9165.75471875 |
transcript.pyannote[894].speaker |
SPEAKER_17 |
transcript.pyannote[894].start |
9166.41284375 |
transcript.pyannote[894].end |
9170.95221875 |
transcript.pyannote[895].speaker |
SPEAKER_17 |
transcript.pyannote[895].start |
9171.54284375 |
transcript.pyannote[895].end |
9173.34846875 |
transcript.pyannote[896].speaker |
SPEAKER_17 |
transcript.pyannote[896].start |
9173.87159375 |
transcript.pyannote[896].end |
9175.52534375 |
transcript.pyannote[897].speaker |
SPEAKER_17 |
transcript.pyannote[897].start |
9176.25096875 |
transcript.pyannote[897].end |
9179.98034375 |
transcript.pyannote[898].speaker |
SPEAKER_17 |
transcript.pyannote[898].start |
9180.31784375 |
transcript.pyannote[898].end |
9181.24596875 |
transcript.pyannote[899].speaker |
SPEAKER_17 |
transcript.pyannote[899].start |
9182.57909375 |
transcript.pyannote[899].end |
9188.68784375 |
transcript.pyannote[900].speaker |
SPEAKER_17 |
transcript.pyannote[900].start |
9189.05909375 |
transcript.pyannote[900].end |
9190.20659375 |
transcript.pyannote[901].speaker |
SPEAKER_17 |
transcript.pyannote[901].start |
9190.52721875 |
transcript.pyannote[901].end |
9191.86034375 |
transcript.pyannote[902].speaker |
SPEAKER_16 |
transcript.pyannote[902].start |
9191.86034375 |
transcript.pyannote[902].end |
9192.94034375 |
transcript.pyannote[903].speaker |
SPEAKER_16 |
transcript.pyannote[903].start |
9194.20596875 |
transcript.pyannote[903].end |
9242.28284375 |
transcript.pyannote[904].speaker |
SPEAKER_16 |
transcript.pyannote[904].start |
9242.89034375 |
transcript.pyannote[904].end |
9249.25221875 |
transcript.pyannote[905].speaker |
SPEAKER_16 |
transcript.pyannote[905].start |
9249.94409375 |
transcript.pyannote[905].end |
9253.01534375 |
transcript.pyannote[906].speaker |
SPEAKER_16 |
transcript.pyannote[906].start |
9253.18409375 |
transcript.pyannote[906].end |
9283.94721875 |
transcript.pyannote[907].speaker |
SPEAKER_16 |
transcript.pyannote[907].start |
9284.18346875 |
transcript.pyannote[907].end |
9286.96784375 |
transcript.pyannote[908].speaker |
SPEAKER_16 |
transcript.pyannote[908].start |
9287.54159375 |
transcript.pyannote[908].end |
9296.46846875 |
transcript.pyannote[909].speaker |
SPEAKER_16 |
transcript.pyannote[909].start |
9297.02534375 |
transcript.pyannote[909].end |
9307.65659375 |
transcript.pyannote[910].speaker |
SPEAKER_16 |
transcript.pyannote[910].start |
9308.48346875 |
transcript.pyannote[910].end |
9320.98784375 |
transcript.pyannote[911].speaker |
SPEAKER_16 |
transcript.pyannote[911].start |
9321.30846875 |
transcript.pyannote[911].end |
9355.68284375 |
transcript.pyannote[912].speaker |
SPEAKER_16 |
transcript.pyannote[912].start |
9356.23971875 |
transcript.pyannote[912].end |
9356.89784375 |
transcript.pyannote[913].speaker |
SPEAKER_16 |
transcript.pyannote[913].start |
9357.23534375 |
transcript.pyannote[913].end |
9361.26846875 |
transcript.pyannote[914].speaker |
SPEAKER_16 |
transcript.pyannote[914].start |
9362.11221875 |
transcript.pyannote[914].end |
9366.95534375 |
transcript.pyannote[915].speaker |
SPEAKER_16 |
transcript.pyannote[915].start |
9366.97221875 |
transcript.pyannote[915].end |
9366.98909375 |
transcript.pyannote[916].speaker |
SPEAKER_16 |
transcript.pyannote[916].start |
9367.07346875 |
transcript.pyannote[916].end |
9379.76346875 |
transcript.pyannote[917].speaker |
SPEAKER_16 |
transcript.pyannote[917].start |
9380.21909375 |
transcript.pyannote[917].end |
9380.65784375 |
transcript.pyannote[918].speaker |
SPEAKER_16 |
transcript.pyannote[918].start |
9380.92784375 |
transcript.pyannote[918].end |
9381.23159375 |
transcript.pyannote[919].speaker |
SPEAKER_16 |
transcript.pyannote[919].start |
9383.02034375 |
transcript.pyannote[919].end |
9386.36159375 |
transcript.pyannote[920].speaker |
SPEAKER_16 |
transcript.pyannote[920].start |
9386.88471875 |
transcript.pyannote[920].end |
9389.39909375 |
transcript.pyannote[921].speaker |
SPEAKER_16 |
transcript.pyannote[921].start |
9390.41159375 |
transcript.pyannote[921].end |
9396.03096875 |
transcript.pyannote[922].speaker |
SPEAKER_16 |
transcript.pyannote[922].start |
9396.58784375 |
transcript.pyannote[922].end |
9416.75346875 |
transcript.pyannote[923].speaker |
SPEAKER_16 |
transcript.pyannote[923].start |
9416.90534375 |
transcript.pyannote[923].end |
9422.69346875 |
transcript.pyannote[924].speaker |
SPEAKER_16 |
transcript.pyannote[924].start |
9423.09846875 |
transcript.pyannote[924].end |
9471.46221875 |
transcript.pyannote[925].speaker |
SPEAKER_16 |
transcript.pyannote[925].start |
9471.63096875 |
transcript.pyannote[925].end |
9477.41909375 |
transcript.pyannote[926].speaker |
SPEAKER_16 |
transcript.pyannote[926].start |
9477.67221875 |
transcript.pyannote[926].end |
9478.02659375 |
transcript.pyannote[927].speaker |
SPEAKER_17 |
transcript.pyannote[927].start |
9478.02659375 |
transcript.pyannote[927].end |
9479.61284375 |
transcript.pyannote[928].speaker |
SPEAKER_16 |
transcript.pyannote[928].start |
9479.61284375 |
transcript.pyannote[928].end |
9479.78159375 |
transcript.pyannote[929].speaker |
SPEAKER_17 |
transcript.pyannote[929].start |
9480.11909375 |
transcript.pyannote[929].end |
9480.84471875 |
transcript.pyannote[930].speaker |
SPEAKER_17 |
transcript.pyannote[930].start |
9481.84034375 |
transcript.pyannote[930].end |
9483.59534375 |
transcript.pyannote[931].speaker |
SPEAKER_20 |
transcript.pyannote[931].start |
9484.84409375 |
transcript.pyannote[931].end |
9485.09721875 |
transcript.pyannote[932].speaker |
SPEAKER_20 |
transcript.pyannote[932].start |
9485.26596875 |
transcript.pyannote[932].end |
9488.84346875 |
transcript.pyannote[933].speaker |
SPEAKER_20 |
transcript.pyannote[933].start |
9488.97846875 |
transcript.pyannote[933].end |
9578.46659375 |
transcript.pyannote[934].speaker |
SPEAKER_20 |
transcript.pyannote[934].start |
9581.20034375 |
transcript.pyannote[934].end |
9581.55471875 |
transcript.pyannote[935].speaker |
SPEAKER_17 |
transcript.pyannote[935].start |
9581.55471875 |
transcript.pyannote[935].end |
9581.63909375 |
transcript.pyannote[936].speaker |
SPEAKER_20 |
transcript.pyannote[936].start |
9581.63909375 |
transcript.pyannote[936].end |
9581.97659375 |
transcript.pyannote[937].speaker |
SPEAKER_17 |
transcript.pyannote[937].start |
9581.97659375 |
transcript.pyannote[937].end |
9583.32659375 |
transcript.pyannote[938].speaker |
SPEAKER_19 |
transcript.pyannote[938].start |
9583.61346875 |
transcript.pyannote[938].end |
9583.86659375 |
transcript.pyannote[939].speaker |
SPEAKER_17 |
transcript.pyannote[939].start |
9684.94784375 |
transcript.pyannote[939].end |
9685.35284375 |
transcript.pyannote[940].speaker |
SPEAKER_17 |
transcript.pyannote[940].start |
9686.09534375 |
transcript.pyannote[940].end |
9696.15284375 |
transcript.pyannote[941].speaker |
SPEAKER_17 |
transcript.pyannote[941].start |
9696.69284375 |
transcript.pyannote[941].end |
9701.21534375 |
transcript.pyannote[942].speaker |
SPEAKER_17 |
transcript.pyannote[942].start |
9701.95784375 |
transcript.pyannote[942].end |
9706.05846875 |
transcript.pyannote[943].speaker |
SPEAKER_17 |
transcript.pyannote[943].start |
9706.76721875 |
transcript.pyannote[943].end |
9715.89659375 |
transcript.pyannote[944].speaker |
SPEAKER_17 |
transcript.pyannote[944].start |
9716.47034375 |
transcript.pyannote[944].end |
9716.82471875 |
transcript.pyannote[945].speaker |
SPEAKER_17 |
transcript.pyannote[945].start |
9717.82034375 |
transcript.pyannote[945].end |
9724.84034375 |
transcript.pyannote[946].speaker |
SPEAKER_17 |
transcript.pyannote[946].start |
9725.73471875 |
transcript.pyannote[946].end |
9727.70909375 |
transcript.pyannote[947].speaker |
SPEAKER_17 |
transcript.pyannote[947].start |
9728.38409375 |
transcript.pyannote[947].end |
9730.45971875 |
transcript.pyannote[948].speaker |
SPEAKER_17 |
transcript.pyannote[948].start |
9731.33721875 |
transcript.pyannote[948].end |
9733.76721875 |
transcript.pyannote[949].speaker |
SPEAKER_17 |
transcript.pyannote[949].start |
9734.29034375 |
transcript.pyannote[949].end |
9740.28096875 |
transcript.pyannote[950].speaker |
SPEAKER_17 |
transcript.pyannote[950].start |
9742.55909375 |
transcript.pyannote[950].end |
9744.41534375 |
transcript.pyannote[951].speaker |
SPEAKER_17 |
transcript.pyannote[951].start |
9744.55034375 |
transcript.pyannote[951].end |
9745.59659375 |
transcript.pyannote[952].speaker |
SPEAKER_21 |
transcript.pyannote[952].start |
9745.81596875 |
transcript.pyannote[952].end |
9746.35596875 |
transcript.pyannote[953].speaker |
SPEAKER_17 |
transcript.pyannote[953].start |
9749.34284375 |
transcript.pyannote[953].end |
9759.90659375 |
transcript.pyannote[954].speaker |
SPEAKER_17 |
transcript.pyannote[954].start |
9760.64909375 |
transcript.pyannote[954].end |
9761.62784375 |
transcript.pyannote[955].speaker |
SPEAKER_17 |
transcript.pyannote[955].start |
9762.67409375 |
transcript.pyannote[955].end |
9763.39971875 |
transcript.pyannote[956].speaker |
SPEAKER_20 |
transcript.pyannote[956].start |
9774.14909375 |
transcript.pyannote[956].end |
9784.10534375 |
transcript.pyannote[957].speaker |
SPEAKER_20 |
transcript.pyannote[957].start |
9784.35846875 |
transcript.pyannote[957].end |
9784.59471875 |
transcript.pyannote[958].speaker |
SPEAKER_20 |
transcript.pyannote[958].start |
9786.46784375 |
transcript.pyannote[958].end |
9787.31159375 |
transcript.pyannote[959].speaker |
SPEAKER_17 |
transcript.pyannote[959].start |
9787.31159375 |
transcript.pyannote[959].end |
9787.36221875 |
transcript.pyannote[960].speaker |
SPEAKER_20 |
transcript.pyannote[960].start |
9787.36221875 |
transcript.pyannote[960].end |
9787.37909375 |
transcript.pyannote[961].speaker |
SPEAKER_17 |
transcript.pyannote[961].start |
9787.37909375 |
transcript.pyannote[961].end |
9787.90221875 |
transcript.pyannote[962].speaker |
SPEAKER_20 |
transcript.pyannote[962].start |
9787.90221875 |
transcript.pyannote[962].end |
9787.95284375 |
transcript.pyannote[963].speaker |
SPEAKER_17 |
transcript.pyannote[963].start |
9787.95284375 |
transcript.pyannote[963].end |
9788.07096875 |
transcript.pyannote[964].speaker |
SPEAKER_20 |
transcript.pyannote[964].start |
9789.65721875 |
transcript.pyannote[964].end |
9789.69096875 |
transcript.pyannote[965].speaker |
SPEAKER_17 |
transcript.pyannote[965].start |
9789.69096875 |
transcript.pyannote[965].end |
9789.87659375 |
transcript.pyannote[966].speaker |
SPEAKER_17 |
transcript.pyannote[966].start |
9793.04909375 |
transcript.pyannote[966].end |
9793.33596875 |
transcript.pyannote[967].speaker |
SPEAKER_17 |
transcript.pyannote[967].start |
9794.58471875 |
transcript.pyannote[967].end |
9797.85846875 |
transcript.pyannote[968].speaker |
SPEAKER_17 |
transcript.pyannote[968].start |
9798.44909375 |
transcript.pyannote[968].end |
9798.87096875 |
transcript.pyannote[969].speaker |
SPEAKER_17 |
transcript.pyannote[969].start |
9800.62596875 |
transcript.pyannote[969].end |
9805.40159375 |
transcript.pyannote[970].speaker |
SPEAKER_21 |
transcript.pyannote[970].start |
9805.40159375 |
transcript.pyannote[970].end |
9805.68846875 |
transcript.pyannote[971].speaker |
SPEAKER_19 |
transcript.pyannote[971].start |
9805.68846875 |
transcript.pyannote[971].end |
9805.85721875 |
transcript.pyannote[972].speaker |
SPEAKER_21 |
transcript.pyannote[972].start |
9806.61659375 |
transcript.pyannote[972].end |
9806.86971875 |
transcript.pyannote[973].speaker |
SPEAKER_17 |
transcript.pyannote[973].start |
9807.56159375 |
transcript.pyannote[973].end |
9810.75096875 |
transcript.pyannote[974].speaker |
SPEAKER_17 |
transcript.pyannote[974].start |
9811.49346875 |
transcript.pyannote[974].end |
9812.03346875 |
transcript.pyannote[975].speaker |
SPEAKER_17 |
transcript.pyannote[975].start |
9813.94034375 |
transcript.pyannote[975].end |
9815.15534375 |
transcript.pyannote[976].speaker |
SPEAKER_17 |
transcript.pyannote[976].start |
9815.39159375 |
transcript.pyannote[976].end |
9818.36159375 |
transcript.pyannote[977].speaker |
SPEAKER_17 |
transcript.pyannote[977].start |
9818.98596875 |
transcript.pyannote[977].end |
9819.44159375 |
transcript.pyannote[978].speaker |
SPEAKER_17 |
transcript.pyannote[978].start |
9819.72846875 |
transcript.pyannote[978].end |
9820.30221875 |
transcript.pyannote[979].speaker |
SPEAKER_21 |
transcript.pyannote[979].start |
9820.63971875 |
transcript.pyannote[979].end |
9820.65659375 |
transcript.pyannote[980].speaker |
SPEAKER_19 |
transcript.pyannote[980].start |
9820.65659375 |
transcript.pyannote[980].end |
9820.72409375 |
transcript.pyannote[981].speaker |
SPEAKER_17 |
transcript.pyannote[981].start |
9820.97721875 |
transcript.pyannote[981].end |
9821.31471875 |
transcript.pyannote[982].speaker |
SPEAKER_17 |
transcript.pyannote[982].start |
9822.04034375 |
transcript.pyannote[982].end |
9822.85034375 |
transcript.pyannote[983].speaker |
SPEAKER_17 |
transcript.pyannote[983].start |
9823.57596875 |
transcript.pyannote[983].end |
9824.38596875 |
transcript.pyannote[984].speaker |
SPEAKER_17 |
transcript.pyannote[984].start |
9825.11159375 |
transcript.pyannote[984].end |
9828.03096875 |
transcript.pyannote[985].speaker |
SPEAKER_17 |
transcript.pyannote[985].start |
9828.73971875 |
transcript.pyannote[985].end |
9829.06034375 |
transcript.pyannote[986].speaker |
SPEAKER_17 |
transcript.pyannote[986].start |
9829.75221875 |
transcript.pyannote[986].end |
9835.28721875 |
transcript.pyannote[987].speaker |
SPEAKER_17 |
transcript.pyannote[987].start |
9836.45159375 |
transcript.pyannote[987].end |
9838.10534375 |
transcript.pyannote[988].speaker |
SPEAKER_17 |
transcript.pyannote[988].start |
9838.42596875 |
transcript.pyannote[988].end |
9838.72971875 |
transcript.pyannote[989].speaker |
SPEAKER_17 |
transcript.pyannote[989].start |
9841.96971875 |
transcript.pyannote[989].end |
9843.26909375 |
transcript.pyannote[990].speaker |
SPEAKER_17 |
transcript.pyannote[990].start |
9845.41221875 |
transcript.pyannote[990].end |
9845.85096875 |
transcript.pyannote[991].speaker |
SPEAKER_15 |
transcript.pyannote[991].start |
9845.85096875 |
transcript.pyannote[991].end |
9848.50034375 |
transcript.pyannote[992].speaker |
SPEAKER_17 |
transcript.pyannote[992].start |
9848.95596875 |
transcript.pyannote[992].end |
9849.90096875 |
transcript.pyannote[993].speaker |
SPEAKER_15 |
transcript.pyannote[993].start |
9850.42409375 |
transcript.pyannote[993].end |
9850.60971875 |
transcript.pyannote[994].speaker |
SPEAKER_17 |
transcript.pyannote[994].start |
9850.60971875 |
transcript.pyannote[994].end |
9850.66034375 |
transcript.pyannote[995].speaker |
SPEAKER_15 |
transcript.pyannote[995].start |
9850.66034375 |
transcript.pyannote[995].end |
9850.67721875 |
transcript.pyannote[996].speaker |
SPEAKER_17 |
transcript.pyannote[996].start |
9850.67721875 |
transcript.pyannote[996].end |
9851.04846875 |
transcript.pyannote[997].speaker |
SPEAKER_15 |
transcript.pyannote[997].start |
9851.04846875 |
transcript.pyannote[997].end |
9851.11596875 |
transcript.pyannote[998].speaker |
SPEAKER_17 |
transcript.pyannote[998].start |
9852.48284375 |
transcript.pyannote[998].end |
9857.61284375 |
transcript.pyannote[999].speaker |
SPEAKER_17 |
transcript.pyannote[999].start |
9857.73096875 |
transcript.pyannote[999].end |
9862.99596875 |
transcript.pyannote[1000].speaker |
SPEAKER_17 |
transcript.pyannote[1000].start |
9864.02534375 |
transcript.pyannote[1000].end |
9865.79721875 |
transcript.pyannote[1001].speaker |
SPEAKER_17 |
transcript.pyannote[1001].start |
9888.94971875 |
transcript.pyannote[1001].end |
9889.38846875 |
transcript.pyannote[1002].speaker |
SPEAKER_17 |
transcript.pyannote[1002].start |
9890.55284375 |
transcript.pyannote[1002].end |
9891.43034375 |
transcript.pyannote[1003].speaker |
SPEAKER_17 |
transcript.pyannote[1003].start |
9891.80159375 |
transcript.pyannote[1003].end |
9893.74221875 |
transcript.pyannote[1004].speaker |
SPEAKER_17 |
transcript.pyannote[1004].start |
9893.89409375 |
transcript.pyannote[1004].end |
9894.78846875 |
transcript.pyannote[1005].speaker |
SPEAKER_17 |
transcript.pyannote[1005].start |
9895.75034375 |
transcript.pyannote[1005].end |
9895.96971875 |
transcript.pyannote[1006].speaker |
SPEAKER_17 |
transcript.pyannote[1006].start |
9896.18909375 |
transcript.pyannote[1006].end |
9897.53909375 |
transcript.pyannote[1007].speaker |
SPEAKER_17 |
transcript.pyannote[1007].start |
9897.99471875 |
transcript.pyannote[1007].end |
9901.16721875 |
transcript.pyannote[1008].speaker |
SPEAKER_17 |
transcript.pyannote[1008].start |
9902.19659375 |
transcript.pyannote[1008].end |
9903.36096875 |
transcript.pyannote[1009].speaker |
SPEAKER_17 |
transcript.pyannote[1009].start |
9903.96846875 |
transcript.pyannote[1009].end |
9904.64346875 |
transcript.pyannote[1010].speaker |
SPEAKER_17 |
transcript.pyannote[1010].start |
9905.09909375 |
transcript.pyannote[1010].end |
9906.33096875 |
transcript.pyannote[1011].speaker |
SPEAKER_17 |
transcript.pyannote[1011].start |
9907.12409375 |
transcript.pyannote[1011].end |
9908.17034375 |
transcript.pyannote[1012].speaker |
SPEAKER_17 |
transcript.pyannote[1012].start |
9909.35159375 |
transcript.pyannote[1012].end |
9910.61721875 |
transcript.pyannote[1013].speaker |
SPEAKER_12 |
transcript.pyannote[1013].start |
9915.00471875 |
transcript.pyannote[1013].end |
9915.13971875 |
transcript.pyannote[1014].speaker |
SPEAKER_12 |
transcript.pyannote[1014].start |
9915.44346875 |
transcript.pyannote[1014].end |
9919.08846875 |
transcript.pyannote[1015].speaker |
SPEAKER_12 |
transcript.pyannote[1015].start |
9919.40909375 |
transcript.pyannote[1015].end |
9970.08471875 |
transcript.pyannote[1016].speaker |
SPEAKER_00 |
transcript.pyannote[1016].start |
9943.33784375 |
transcript.pyannote[1016].end |
9943.38846875 |
transcript.pyannote[1017].speaker |
SPEAKER_12 |
transcript.pyannote[1017].start |
9970.25346875 |
transcript.pyannote[1017].end |
9970.97909375 |
transcript.pyannote[1018].speaker |
SPEAKER_12 |
transcript.pyannote[1018].start |
9973.00409375 |
transcript.pyannote[1018].end |
9973.35846875 |
transcript.pyannote[1019].speaker |
SPEAKER_17 |
transcript.pyannote[1019].start |
9975.02909375 |
transcript.pyannote[1019].end |
9975.87284375 |
transcript.pyannote[1020].speaker |
SPEAKER_17 |
transcript.pyannote[1020].start |
9975.97409375 |
transcript.pyannote[1020].end |
9977.64471875 |
transcript.pyannote[1021].speaker |
SPEAKER_17 |
transcript.pyannote[1021].start |
9979.04534375 |
transcript.pyannote[1021].end |
9979.50096875 |
transcript.pyannote[1022].speaker |
SPEAKER_17 |
transcript.pyannote[1022].start |
9979.58534375 |
transcript.pyannote[1022].end |
9980.88471875 |
transcript.pyannote[1023].speaker |
SPEAKER_17 |
transcript.pyannote[1023].start |
9982.90971875 |
transcript.pyannote[1023].end |
9983.16284375 |
transcript.pyannote[1024].speaker |
SPEAKER_17 |
transcript.pyannote[1024].start |
9983.55096875 |
transcript.pyannote[1024].end |
9984.83346875 |
transcript.pyannote[1025].speaker |
SPEAKER_17 |
transcript.pyannote[1025].start |
9986.06534375 |
transcript.pyannote[1025].end |
9986.08221875 |
transcript.pyannote[1026].speaker |
SPEAKER_17 |
transcript.pyannote[1026].start |
9986.09909375 |
transcript.pyannote[1026].end |
9986.74034375 |
transcript.pyannote[1027].speaker |
SPEAKER_17 |
transcript.pyannote[1027].start |
9986.84159375 |
transcript.pyannote[1027].end |
9989.62596875 |
transcript.pyannote[1028].speaker |
SPEAKER_17 |
transcript.pyannote[1028].start |
9989.84534375 |
transcript.pyannote[1028].end |
10003.59846875 |
transcript.pyannote[1029].speaker |
SPEAKER_17 |
transcript.pyannote[1029].start |
10004.57721875 |
transcript.pyannote[1029].end |
10005.01596875 |
transcript.pyannote[1030].speaker |
SPEAKER_17 |
transcript.pyannote[1030].start |
10005.74159375 |
transcript.pyannote[1030].end |
10006.36596875 |
transcript.pyannote[1031].speaker |
SPEAKER_17 |
transcript.pyannote[1031].start |
10006.82159375 |
transcript.pyannote[1031].end |
10007.59784375 |
transcript.pyannote[1032].speaker |
SPEAKER_11 |
transcript.pyannote[1032].start |
10009.80846875 |
transcript.pyannote[1032].end |
10046.29221875 |
transcript.pyannote[1033].speaker |
SPEAKER_11 |
transcript.pyannote[1033].start |
10046.73096875 |
transcript.pyannote[1033].end |
10102.41846875 |
transcript.pyannote[1034].speaker |
SPEAKER_17 |
transcript.pyannote[1034].start |
10103.22846875 |
transcript.pyannote[1034].end |
10104.32534375 |
transcript.pyannote[1035].speaker |
SPEAKER_17 |
transcript.pyannote[1035].start |
10107.22784375 |
transcript.pyannote[1035].end |
10108.03784375 |
transcript.pyannote[1036].speaker |
SPEAKER_12 |
transcript.pyannote[1036].start |
10108.03784375 |
transcript.pyannote[1036].end |
10108.40909375 |
transcript.pyannote[1037].speaker |
SPEAKER_17 |
transcript.pyannote[1037].start |
10108.40909375 |
transcript.pyannote[1037].end |
10108.42596875 |
transcript.pyannote[1038].speaker |
SPEAKER_12 |
transcript.pyannote[1038].start |
10108.42596875 |
transcript.pyannote[1038].end |
10108.45971875 |
transcript.pyannote[1039].speaker |
SPEAKER_17 |
transcript.pyannote[1039].start |
10108.45971875 |
transcript.pyannote[1039].end |
10108.79721875 |
transcript.pyannote[1040].speaker |
SPEAKER_12 |
transcript.pyannote[1040].start |
10108.79721875 |
transcript.pyannote[1040].end |
10108.84784375 |
transcript.pyannote[1041].speaker |
SPEAKER_17 |
transcript.pyannote[1041].start |
10108.84784375 |
transcript.pyannote[1041].end |
10108.86471875 |
transcript.pyannote[1042].speaker |
SPEAKER_12 |
transcript.pyannote[1042].start |
10108.86471875 |
transcript.pyannote[1042].end |
10109.45534375 |
transcript.pyannote[1043].speaker |
SPEAKER_12 |
transcript.pyannote[1043].start |
10110.51846875 |
transcript.pyannote[1043].end |
10116.40784375 |
transcript.pyannote[1044].speaker |
SPEAKER_12 |
transcript.pyannote[1044].start |
10116.72846875 |
transcript.pyannote[1044].end |
10137.45096875 |
transcript.pyannote[1045].speaker |
SPEAKER_12 |
transcript.pyannote[1045].start |
10137.82221875 |
transcript.pyannote[1045].end |
10170.93096875 |
transcript.pyannote[1046].speaker |
SPEAKER_12 |
transcript.pyannote[1046].start |
10171.36971875 |
transcript.pyannote[1046].end |
10179.68909375 |
transcript.pyannote[1047].speaker |
SPEAKER_17 |
transcript.pyannote[1047].start |
10183.82346875 |
transcript.pyannote[1047].end |
10184.21159375 |
transcript.pyannote[1048].speaker |
SPEAKER_17 |
transcript.pyannote[1048].start |
10185.12284375 |
transcript.pyannote[1048].end |
10185.93284375 |
transcript.pyannote[1049].speaker |
SPEAKER_14 |
transcript.pyannote[1049].start |
10188.97034375 |
transcript.pyannote[1049].end |
10199.56784375 |
transcript.pyannote[1050].speaker |
SPEAKER_14 |
transcript.pyannote[1050].start |
10199.98971875 |
transcript.pyannote[1050].end |
10205.38971875 |
transcript.pyannote[1051].speaker |
SPEAKER_14 |
transcript.pyannote[1051].start |
10205.59221875 |
transcript.pyannote[1051].end |
10216.89846875 |
transcript.pyannote[1052].speaker |
SPEAKER_14 |
transcript.pyannote[1052].start |
10217.64096875 |
transcript.pyannote[1052].end |
10223.90159375 |
transcript.pyannote[1053].speaker |
SPEAKER_14 |
transcript.pyannote[1053].start |
10225.13346875 |
transcript.pyannote[1053].end |
10237.92471875 |
transcript.pyannote[1054].speaker |
SPEAKER_14 |
transcript.pyannote[1054].start |
10238.58284375 |
transcript.pyannote[1054].end |
10256.21721875 |
transcript.pyannote[1055].speaker |
SPEAKER_14 |
transcript.pyannote[1055].start |
10256.62221875 |
transcript.pyannote[1055].end |
10262.84909375 |
transcript.pyannote[1056].speaker |
SPEAKER_02 |
transcript.pyannote[1056].start |
10263.86159375 |
transcript.pyannote[1056].end |
10263.87846875 |
transcript.pyannote[1057].speaker |
SPEAKER_14 |
transcript.pyannote[1057].start |
10263.87846875 |
transcript.pyannote[1057].end |
10263.96284375 |
transcript.pyannote[1058].speaker |
SPEAKER_02 |
transcript.pyannote[1058].start |
10263.96284375 |
transcript.pyannote[1058].end |
10264.84034375 |
transcript.pyannote[1059].speaker |
SPEAKER_14 |
transcript.pyannote[1059].start |
10264.84034375 |
transcript.pyannote[1059].end |
10264.85721875 |
transcript.pyannote[1060].speaker |
SPEAKER_02 |
transcript.pyannote[1060].start |
10264.85721875 |
transcript.pyannote[1060].end |
10264.87409375 |
transcript.pyannote[1061].speaker |
SPEAKER_03 |
transcript.pyannote[1061].start |
10269.98721875 |
transcript.pyannote[1061].end |
10279.08284375 |
transcript.pyannote[1062].speaker |
SPEAKER_03 |
transcript.pyannote[1062].start |
10279.50471875 |
transcript.pyannote[1062].end |
10285.03971875 |
transcript.pyannote[1063].speaker |
SPEAKER_03 |
transcript.pyannote[1063].start |
10285.29284375 |
transcript.pyannote[1063].end |
10288.60034375 |
transcript.pyannote[1064].speaker |
SPEAKER_03 |
transcript.pyannote[1064].start |
10288.78596875 |
transcript.pyannote[1064].end |
10304.59784375 |
transcript.pyannote[1065].speaker |
SPEAKER_03 |
transcript.pyannote[1065].start |
10305.08721875 |
transcript.pyannote[1065].end |
10306.55534375 |
transcript.pyannote[1066].speaker |
SPEAKER_03 |
transcript.pyannote[1066].start |
10307.28096875 |
transcript.pyannote[1066].end |
10309.05284375 |
transcript.pyannote[1067].speaker |
SPEAKER_03 |
transcript.pyannote[1067].start |
10309.44096875 |
transcript.pyannote[1067].end |
10313.69346875 |
transcript.pyannote[1068].speaker |
SPEAKER_03 |
transcript.pyannote[1068].start |
10314.67221875 |
transcript.pyannote[1068].end |
10315.12784375 |
transcript.pyannote[1069].speaker |
SPEAKER_17 |
transcript.pyannote[1069].start |
10315.12784375 |
transcript.pyannote[1069].end |
10315.60034375 |
transcript.pyannote[1070].speaker |
SPEAKER_17 |
transcript.pyannote[1070].start |
10316.76471875 |
transcript.pyannote[1070].end |
10318.03034375 |
transcript.pyannote[1071].speaker |
SPEAKER_12 |
transcript.pyannote[1071].start |
10318.03034375 |
transcript.pyannote[1071].end |
10318.24971875 |
transcript.pyannote[1072].speaker |
SPEAKER_17 |
transcript.pyannote[1072].start |
10319.02596875 |
transcript.pyannote[1072].end |
10319.04284375 |
transcript.pyannote[1073].speaker |
SPEAKER_12 |
transcript.pyannote[1073].start |
10319.04284375 |
transcript.pyannote[1073].end |
10361.06159375 |
transcript.pyannote[1074].speaker |
SPEAKER_12 |
transcript.pyannote[1074].start |
10361.17971875 |
transcript.pyannote[1074].end |
10416.29346875 |
transcript.pyannote[1075].speaker |
SPEAKER_12 |
transcript.pyannote[1075].start |
10416.47909375 |
transcript.pyannote[1075].end |
10475.45721875 |
transcript.pyannote[1076].speaker |
SPEAKER_12 |
transcript.pyannote[1076].start |
10475.71034375 |
transcript.pyannote[1076].end |
10526.68971875 |
transcript.pyannote[1077].speaker |
SPEAKER_12 |
transcript.pyannote[1077].start |
10526.99346875 |
transcript.pyannote[1077].end |
10559.03909375 |
transcript.pyannote[1078].speaker |
SPEAKER_12 |
transcript.pyannote[1078].start |
10560.69284375 |
transcript.pyannote[1078].end |
10561.40159375 |
transcript.pyannote[1079].speaker |
SPEAKER_17 |
transcript.pyannote[1079].start |
10563.54471875 |
transcript.pyannote[1079].end |
10564.03409375 |
transcript.pyannote[1080].speaker |
SPEAKER_17 |
transcript.pyannote[1080].start |
10564.54034375 |
transcript.pyannote[1080].end |
10566.24471875 |
transcript.pyannote[1081].speaker |
SPEAKER_15 |
transcript.pyannote[1081].start |
10566.32909375 |
transcript.pyannote[1081].end |
10566.91971875 |
transcript.pyannote[1082].speaker |
SPEAKER_15 |
transcript.pyannote[1082].start |
10566.97034375 |
transcript.pyannote[1082].end |
10567.12221875 |
transcript.pyannote[1083].speaker |
SPEAKER_17 |
transcript.pyannote[1083].start |
10567.12221875 |
transcript.pyannote[1083].end |
10567.45971875 |
transcript.pyannote[1084].speaker |
SPEAKER_11 |
transcript.pyannote[1084].start |
10570.69971875 |
transcript.pyannote[1084].end |
10795.64346875 |
transcript.pyannote[1085].speaker |
SPEAKER_15 |
transcript.pyannote[1085].start |
10797.16221875 |
transcript.pyannote[1085].end |
10797.19596875 |
transcript.pyannote[1086].speaker |
SPEAKER_16 |
transcript.pyannote[1086].start |
10797.19596875 |
transcript.pyannote[1086].end |
10798.22534375 |
transcript.pyannote[1087].speaker |
SPEAKER_15 |
transcript.pyannote[1087].start |
10800.40221875 |
transcript.pyannote[1087].end |
10801.02659375 |
transcript.pyannote[1088].speaker |
SPEAKER_16 |
transcript.pyannote[1088].start |
10801.02659375 |
transcript.pyannote[1088].end |
10801.09409375 |
transcript.pyannote[1089].speaker |
SPEAKER_15 |
transcript.pyannote[1089].start |
10801.09409375 |
transcript.pyannote[1089].end |
10801.12784375 |
transcript.pyannote[1090].speaker |
SPEAKER_16 |
transcript.pyannote[1090].start |
10801.54971875 |
transcript.pyannote[1090].end |
10802.30909375 |
transcript.pyannote[1091].speaker |
SPEAKER_16 |
transcript.pyannote[1091].start |
10802.84909375 |
transcript.pyannote[1091].end |
10807.97909375 |
transcript.pyannote[1092].speaker |
SPEAKER_16 |
transcript.pyannote[1092].start |
10808.62034375 |
transcript.pyannote[1092].end |
10812.16409375 |
transcript.pyannote[1093].speaker |
SPEAKER_16 |
transcript.pyannote[1093].start |
10813.04159375 |
transcript.pyannote[1093].end |
10815.48846875 |
transcript.pyannote[1094].speaker |
SPEAKER_16 |
transcript.pyannote[1094].start |
10816.07909375 |
transcript.pyannote[1094].end |
10837.91534375 |
transcript.pyannote[1095].speaker |
SPEAKER_16 |
transcript.pyannote[1095].start |
10838.10096875 |
transcript.pyannote[1095].end |
10881.82409375 |
transcript.pyannote[1096].speaker |
SPEAKER_16 |
transcript.pyannote[1096].start |
10882.26284375 |
transcript.pyannote[1096].end |
10964.05596875 |
transcript.pyannote[1097].speaker |
SPEAKER_16 |
transcript.pyannote[1097].start |
10964.54534375 |
transcript.pyannote[1097].end |
10968.32534375 |
transcript.pyannote[1098].speaker |
SPEAKER_16 |
transcript.pyannote[1098].start |
10969.81034375 |
transcript.pyannote[1098].end |
11040.58409375 |
transcript.pyannote[1099].speaker |
SPEAKER_16 |
transcript.pyannote[1099].start |
11040.76971875 |
transcript.pyannote[1099].end |
11057.99909375 |
transcript.pyannote[1100].speaker |
SPEAKER_16 |
transcript.pyannote[1100].start |
11058.40409375 |
transcript.pyannote[1100].end |
11060.36159375 |
transcript.pyannote[1101].speaker |
SPEAKER_16 |
transcript.pyannote[1101].start |
11060.86784375 |
transcript.pyannote[1101].end |
11061.61034375 |
transcript.pyannote[1102].speaker |
SPEAKER_16 |
transcript.pyannote[1102].start |
11062.20096875 |
transcript.pyannote[1102].end |
11064.78284375 |
transcript.pyannote[1103].speaker |
SPEAKER_16 |
transcript.pyannote[1103].start |
11065.33971875 |
transcript.pyannote[1103].end |
11085.20159375 |
transcript.pyannote[1104].speaker |
SPEAKER_16 |
transcript.pyannote[1104].start |
11085.50534375 |
transcript.pyannote[1104].end |
11110.14284375 |
transcript.pyannote[1105].speaker |
SPEAKER_16 |
transcript.pyannote[1105].start |
11110.48034375 |
transcript.pyannote[1105].end |
11120.08221875 |
transcript.pyannote[1106].speaker |
SPEAKER_17 |
transcript.pyannote[1106].start |
11120.80784375 |
transcript.pyannote[1106].end |
11121.68534375 |
transcript.pyannote[1107].speaker |
SPEAKER_17 |
transcript.pyannote[1107].start |
11122.27596875 |
transcript.pyannote[1107].end |
11122.79909375 |
transcript.pyannote[1108].speaker |
SPEAKER_14 |
transcript.pyannote[1108].start |
11126.49471875 |
transcript.pyannote[1108].end |
11127.99659375 |
transcript.pyannote[1109].speaker |
SPEAKER_14 |
transcript.pyannote[1109].start |
11128.38471875 |
transcript.pyannote[1109].end |
11133.31221875 |
transcript.pyannote[1110].speaker |
SPEAKER_14 |
transcript.pyannote[1110].start |
11133.93659375 |
transcript.pyannote[1110].end |
11140.70346875 |
transcript.pyannote[1111].speaker |
SPEAKER_14 |
transcript.pyannote[1111].start |
11141.90159375 |
transcript.pyannote[1111].end |
11144.73659375 |
transcript.pyannote[1112].speaker |
SPEAKER_14 |
transcript.pyannote[1112].start |
11145.24284375 |
transcript.pyannote[1112].end |
11146.98096875 |
transcript.pyannote[1113].speaker |
SPEAKER_14 |
transcript.pyannote[1113].start |
11147.28471875 |
transcript.pyannote[1113].end |
11149.78221875 |
transcript.pyannote[1114].speaker |
SPEAKER_14 |
transcript.pyannote[1114].start |
11149.96784375 |
transcript.pyannote[1114].end |
11150.57534375 |
transcript.pyannote[1115].speaker |
SPEAKER_14 |
transcript.pyannote[1115].start |
11151.08159375 |
transcript.pyannote[1115].end |
11167.68659375 |
transcript.pyannote[1116].speaker |
SPEAKER_14 |
transcript.pyannote[1116].start |
11168.19284375 |
transcript.pyannote[1116].end |
11174.18346875 |
transcript.pyannote[1117].speaker |
SPEAKER_14 |
transcript.pyannote[1117].start |
11174.47034375 |
transcript.pyannote[1117].end |
11177.87909375 |
transcript.pyannote[1118].speaker |
SPEAKER_14 |
transcript.pyannote[1118].start |
11177.94659375 |
transcript.pyannote[1118].end |
11182.01346875 |
transcript.pyannote[1119].speaker |
SPEAKER_14 |
transcript.pyannote[1119].start |
11182.13159375 |
transcript.pyannote[1119].end |
11184.02159375 |
transcript.pyannote[1120].speaker |
SPEAKER_14 |
transcript.pyannote[1120].start |
11184.91596875 |
transcript.pyannote[1120].end |
11197.30221875 |
transcript.pyannote[1121].speaker |
SPEAKER_14 |
transcript.pyannote[1121].start |
11197.48784375 |
transcript.pyannote[1121].end |
11201.23409375 |
transcript.pyannote[1122].speaker |
SPEAKER_14 |
transcript.pyannote[1122].start |
11201.47034375 |
transcript.pyannote[1122].end |
11214.59909375 |
transcript.pyannote[1123].speaker |
SPEAKER_17 |
transcript.pyannote[1123].start |
11215.62846875 |
transcript.pyannote[1123].end |
11215.96596875 |
transcript.pyannote[1124].speaker |
SPEAKER_14 |
transcript.pyannote[1124].start |
11215.96596875 |
transcript.pyannote[1124].end |
11216.52284375 |
transcript.pyannote[1125].speaker |
SPEAKER_25 |
transcript.pyannote[1125].start |
11220.11721875 |
transcript.pyannote[1125].end |
11224.55534375 |
transcript.pyannote[1126].speaker |
SPEAKER_25 |
transcript.pyannote[1126].start |
11224.74096875 |
transcript.pyannote[1126].end |
11239.54034375 |
transcript.pyannote[1127].speaker |
SPEAKER_25 |
transcript.pyannote[1127].start |
11239.75971875 |
transcript.pyannote[1127].end |
11275.29846875 |
transcript.pyannote[1128].speaker |
SPEAKER_25 |
transcript.pyannote[1128].start |
11275.56846875 |
transcript.pyannote[1128].end |
11297.82659375 |
transcript.pyannote[1129].speaker |
SPEAKER_25 |
transcript.pyannote[1129].start |
11298.28221875 |
transcript.pyannote[1129].end |
11303.32784375 |
transcript.pyannote[1130].speaker |
SPEAKER_25 |
transcript.pyannote[1130].start |
11303.68221875 |
transcript.pyannote[1130].end |
11308.72784375 |
transcript.pyannote[1131].speaker |
SPEAKER_25 |
transcript.pyannote[1131].start |
11309.28471875 |
transcript.pyannote[1131].end |
11315.35971875 |
transcript.pyannote[1132].speaker |
SPEAKER_25 |
transcript.pyannote[1132].start |
11315.78159375 |
transcript.pyannote[1132].end |
11316.92909375 |
transcript.pyannote[1133].speaker |
SPEAKER_25 |
transcript.pyannote[1133].start |
11317.23284375 |
transcript.pyannote[1133].end |
11318.90346875 |
transcript.pyannote[1134].speaker |
SPEAKER_25 |
transcript.pyannote[1134].start |
11319.51096875 |
transcript.pyannote[1134].end |
11321.02971875 |
transcript.pyannote[1135].speaker |
SPEAKER_25 |
transcript.pyannote[1135].start |
11321.36721875 |
transcript.pyannote[1135].end |
11322.26159375 |
transcript.pyannote[1136].speaker |
SPEAKER_25 |
transcript.pyannote[1136].start |
11322.70034375 |
transcript.pyannote[1136].end |
11324.35409375 |
transcript.pyannote[1137].speaker |
SPEAKER_25 |
transcript.pyannote[1137].start |
11325.82221875 |
transcript.pyannote[1137].end |
11328.01596875 |
transcript.pyannote[1138].speaker |
SPEAKER_25 |
transcript.pyannote[1138].start |
11328.74159375 |
transcript.pyannote[1138].end |
11331.59346875 |
transcript.pyannote[1139].speaker |
SPEAKER_25 |
transcript.pyannote[1139].start |
11332.74096875 |
transcript.pyannote[1139].end |
11334.17534375 |
transcript.pyannote[1140].speaker |
SPEAKER_25 |
transcript.pyannote[1140].start |
11334.47909375 |
transcript.pyannote[1140].end |
11341.53284375 |
transcript.pyannote[1141].speaker |
SPEAKER_25 |
transcript.pyannote[1141].start |
11341.97159375 |
transcript.pyannote[1141].end |
11350.03784375 |
transcript.pyannote[1142].speaker |
SPEAKER_25 |
transcript.pyannote[1142].start |
11350.13909375 |
transcript.pyannote[1142].end |
11351.20221875 |
transcript.pyannote[1143].speaker |
SPEAKER_25 |
transcript.pyannote[1143].start |
11351.57346875 |
transcript.pyannote[1143].end |
11357.71596875 |
transcript.pyannote[1144].speaker |
SPEAKER_25 |
transcript.pyannote[1144].start |
11357.91846875 |
transcript.pyannote[1144].end |
11378.11784375 |
transcript.pyannote[1145].speaker |
SPEAKER_25 |
transcript.pyannote[1145].start |
11378.59034375 |
transcript.pyannote[1145].end |
11382.15096875 |
transcript.pyannote[1146].speaker |
SPEAKER_17 |
transcript.pyannote[1146].start |
11384.15909375 |
transcript.pyannote[1146].end |
11384.51346875 |
transcript.pyannote[1147].speaker |
SPEAKER_17 |
transcript.pyannote[1147].start |
11385.25596875 |
transcript.pyannote[1147].end |
11386.92659375 |
transcript.pyannote[1148].speaker |
SPEAKER_17 |
transcript.pyannote[1148].start |
11389.93034375 |
transcript.pyannote[1148].end |
11390.01471875 |
transcript.pyannote[1149].speaker |
SPEAKER_03 |
transcript.pyannote[1149].start |
11390.01471875 |
transcript.pyannote[1149].end |
11390.40284375 |
transcript.pyannote[1150].speaker |
SPEAKER_03 |
transcript.pyannote[1150].start |
11391.24659375 |
transcript.pyannote[1150].end |
11398.43534375 |
transcript.pyannote[1151].speaker |
SPEAKER_17 |
transcript.pyannote[1151].start |
11391.41534375 |
transcript.pyannote[1151].end |
11392.27596875 |
transcript.pyannote[1152].speaker |
SPEAKER_17 |
transcript.pyannote[1152].start |
11392.47846875 |
transcript.pyannote[1152].end |
11393.03534375 |
transcript.pyannote[1153].speaker |
SPEAKER_03 |
transcript.pyannote[1153].start |
11398.68846875 |
transcript.pyannote[1153].end |
11400.86534375 |
transcript.pyannote[1154].speaker |
SPEAKER_03 |
transcript.pyannote[1154].start |
11400.94971875 |
transcript.pyannote[1154].end |
11402.46846875 |
transcript.pyannote[1155].speaker |
SPEAKER_03 |
transcript.pyannote[1155].start |
11402.87346875 |
transcript.pyannote[1155].end |
11403.16034375 |
transcript.pyannote[1156].speaker |
SPEAKER_03 |
transcript.pyannote[1156].start |
11403.58221875 |
transcript.pyannote[1156].end |
11404.25721875 |
transcript.pyannote[1157].speaker |
SPEAKER_03 |
transcript.pyannote[1157].start |
11404.56096875 |
transcript.pyannote[1157].end |
11406.55221875 |
transcript.pyannote[1158].speaker |
SPEAKER_03 |
transcript.pyannote[1158].start |
11406.73784375 |
transcript.pyannote[1158].end |
11411.85096875 |
transcript.pyannote[1159].speaker |
SPEAKER_03 |
transcript.pyannote[1159].start |
11412.12096875 |
transcript.pyannote[1159].end |
11412.93096875 |
transcript.pyannote[1160].speaker |
SPEAKER_03 |
transcript.pyannote[1160].start |
11413.20096875 |
transcript.pyannote[1160].end |
11416.91346875 |
transcript.pyannote[1161].speaker |
SPEAKER_03 |
transcript.pyannote[1161].start |
11416.94721875 |
transcript.pyannote[1161].end |
11431.42596875 |
transcript.pyannote[1162].speaker |
SPEAKER_03 |
transcript.pyannote[1162].start |
11431.76346875 |
transcript.pyannote[1162].end |
11435.74596875 |
transcript.pyannote[1163].speaker |
SPEAKER_03 |
transcript.pyannote[1163].start |
11435.76284375 |
transcript.pyannote[1163].end |
11470.81221875 |
transcript.pyannote[1164].speaker |
SPEAKER_03 |
transcript.pyannote[1164].start |
11470.94721875 |
transcript.pyannote[1164].end |
11471.63909375 |
transcript.pyannote[1165].speaker |
SPEAKER_03 |
transcript.pyannote[1165].start |
11471.94284375 |
transcript.pyannote[1165].end |
11473.56284375 |
transcript.pyannote[1166].speaker |
SPEAKER_03 |
transcript.pyannote[1166].start |
11473.64721875 |
transcript.pyannote[1166].end |
11475.03096875 |
transcript.pyannote[1167].speaker |
SPEAKER_17 |
transcript.pyannote[1167].start |
11477.30909375 |
transcript.pyannote[1167].end |
11477.34284375 |
transcript.pyannote[1168].speaker |
SPEAKER_24 |
transcript.pyannote[1168].start |
11477.34284375 |
transcript.pyannote[1168].end |
11477.95034375 |
transcript.pyannote[1169].speaker |
SPEAKER_24 |
transcript.pyannote[1169].start |
11481.73034375 |
transcript.pyannote[1169].end |
11486.06721875 |
transcript.pyannote[1170].speaker |
SPEAKER_24 |
transcript.pyannote[1170].start |
11486.40471875 |
transcript.pyannote[1170].end |
11487.88971875 |
transcript.pyannote[1171].speaker |
SPEAKER_24 |
transcript.pyannote[1171].start |
11488.46346875 |
transcript.pyannote[1171].end |
11504.20784375 |
transcript.pyannote[1172].speaker |
SPEAKER_24 |
transcript.pyannote[1172].start |
11504.64659375 |
transcript.pyannote[1172].end |
11508.81471875 |
transcript.pyannote[1173].speaker |
SPEAKER_24 |
transcript.pyannote[1173].start |
11509.74284375 |
transcript.pyannote[1173].end |
11510.99159375 |
transcript.pyannote[1174].speaker |
SPEAKER_24 |
transcript.pyannote[1174].start |
11511.24471875 |
transcript.pyannote[1174].end |
11516.62784375 |
transcript.pyannote[1175].speaker |
SPEAKER_24 |
transcript.pyannote[1175].start |
11516.86409375 |
transcript.pyannote[1175].end |
11523.91784375 |
transcript.pyannote[1176].speaker |
SPEAKER_24 |
transcript.pyannote[1176].start |
11525.72346875 |
transcript.pyannote[1176].end |
11527.02284375 |
transcript.pyannote[1177].speaker |
SPEAKER_12 |
transcript.pyannote[1177].start |
11528.71034375 |
transcript.pyannote[1177].end |
11528.91284375 |
transcript.pyannote[1178].speaker |
SPEAKER_12 |
transcript.pyannote[1178].start |
11531.66346875 |
transcript.pyannote[1178].end |
11534.63346875 |
transcript.pyannote[1179].speaker |
SPEAKER_12 |
transcript.pyannote[1179].start |
11535.10596875 |
transcript.pyannote[1179].end |
11550.37784375 |
transcript.pyannote[1180].speaker |
SPEAKER_12 |
transcript.pyannote[1180].start |
11550.41159375 |
transcript.pyannote[1180].end |
11557.56659375 |
transcript.pyannote[1181].speaker |
SPEAKER_12 |
transcript.pyannote[1181].start |
11557.92096875 |
transcript.pyannote[1181].end |
11583.03096875 |
transcript.pyannote[1182].speaker |
SPEAKER_12 |
transcript.pyannote[1182].start |
11583.30096875 |
transcript.pyannote[1182].end |
11600.71596875 |
transcript.pyannote[1183].speaker |
SPEAKER_12 |
transcript.pyannote[1183].start |
11601.22221875 |
transcript.pyannote[1183].end |
11608.83284375 |
transcript.pyannote[1184].speaker |
SPEAKER_12 |
transcript.pyannote[1184].start |
11609.27159375 |
transcript.pyannote[1184].end |
11654.71596875 |
transcript.pyannote[1185].speaker |
SPEAKER_12 |
transcript.pyannote[1185].start |
11654.93534375 |
transcript.pyannote[1185].end |
11694.47346875 |
transcript.pyannote[1186].speaker |
SPEAKER_12 |
transcript.pyannote[1186].start |
11694.59159375 |
transcript.pyannote[1186].end |
11704.02471875 |
transcript.pyannote[1187].speaker |
SPEAKER_12 |
transcript.pyannote[1187].start |
11704.48034375 |
transcript.pyannote[1187].end |
11741.14971875 |
transcript.pyannote[1188].speaker |
SPEAKER_00 |
transcript.pyannote[1188].start |
11726.85659375 |
transcript.pyannote[1188].end |
11727.46409375 |
transcript.pyannote[1189].speaker |
SPEAKER_12 |
transcript.pyannote[1189].start |
11742.33096875 |
transcript.pyannote[1189].end |
11742.58409375 |
transcript.pyannote[1190].speaker |
SPEAKER_12 |
transcript.pyannote[1190].start |
11744.87909375 |
transcript.pyannote[1190].end |
11748.38909375 |
transcript.pyannote[1191].speaker |
SPEAKER_12 |
transcript.pyannote[1191].start |
11748.82784375 |
transcript.pyannote[1191].end |
11749.68846875 |
transcript.pyannote[1192].speaker |
SPEAKER_12 |
transcript.pyannote[1192].start |
11750.85284375 |
transcript.pyannote[1192].end |
11762.76659375 |
transcript.pyannote[1193].speaker |
SPEAKER_12 |
transcript.pyannote[1193].start |
11762.85096875 |
transcript.pyannote[1193].end |
11765.21346875 |
transcript.pyannote[1194].speaker |
SPEAKER_12 |
transcript.pyannote[1194].start |
11765.29784375 |
transcript.pyannote[1194].end |
11826.28409375 |
transcript.pyannote[1195].speaker |
SPEAKER_12 |
transcript.pyannote[1195].start |
11827.17846875 |
transcript.pyannote[1195].end |
11920.29471875 |
transcript.pyannote[1196].speaker |
SPEAKER_12 |
transcript.pyannote[1196].start |
11920.73346875 |
transcript.pyannote[1196].end |
11922.80909375 |
transcript.pyannote[1197].speaker |
SPEAKER_12 |
transcript.pyannote[1197].start |
11924.46284375 |
transcript.pyannote[1197].end |
11924.90159375 |
transcript.pyannote[1198].speaker |
SPEAKER_12 |
transcript.pyannote[1198].start |
11925.27284375 |
transcript.pyannote[1198].end |
11926.70721875 |
transcript.pyannote[1199].speaker |
SPEAKER_12 |
transcript.pyannote[1199].start |
11927.65221875 |
transcript.pyannote[1199].end |
11939.93721875 |
transcript.pyannote[1200].speaker |
SPEAKER_12 |
transcript.pyannote[1200].start |
11940.34221875 |
transcript.pyannote[1200].end |
11942.36721875 |
transcript.pyannote[1201].speaker |
SPEAKER_12 |
transcript.pyannote[1201].start |
11942.46846875 |
transcript.pyannote[1201].end |
11943.17721875 |
transcript.pyannote[1202].speaker |
SPEAKER_12 |
transcript.pyannote[1202].start |
11943.97034375 |
transcript.pyannote[1202].end |
11947.73346875 |
transcript.pyannote[1203].speaker |
SPEAKER_12 |
transcript.pyannote[1203].start |
11948.96534375 |
transcript.pyannote[1203].end |
11951.68221875 |
transcript.pyannote[1204].speaker |
SPEAKER_12 |
transcript.pyannote[1204].start |
11953.53846875 |
transcript.pyannote[1204].end |
11955.86721875 |
transcript.pyannote[1205].speaker |
SPEAKER_12 |
transcript.pyannote[1205].start |
11956.47471875 |
transcript.pyannote[1205].end |
11956.72784375 |
transcript.pyannote[1206].speaker |
SPEAKER_12 |
transcript.pyannote[1206].start |
11962.71846875 |
transcript.pyannote[1206].end |
11971.72971875 |
transcript.pyannote[1207].speaker |
SPEAKER_02 |
transcript.pyannote[1207].start |
11963.76471875 |
transcript.pyannote[1207].end |
11964.67596875 |
transcript.pyannote[1208].speaker |
SPEAKER_12 |
transcript.pyannote[1208].start |
11971.86471875 |
transcript.pyannote[1208].end |
11974.14284375 |
transcript.pyannote[1209].speaker |
SPEAKER_12 |
transcript.pyannote[1209].start |
11974.73346875 |
transcript.pyannote[1209].end |
11975.57721875 |
transcript.pyannote[1210].speaker |
SPEAKER_12 |
transcript.pyannote[1210].start |
11975.77971875 |
transcript.pyannote[1210].end |
11976.26909375 |
transcript.pyannote[1211].speaker |
SPEAKER_12 |
transcript.pyannote[1211].start |
11976.52221875 |
transcript.pyannote[1211].end |
11977.93971875 |
transcript.pyannote[1212].speaker |
SPEAKER_12 |
transcript.pyannote[1212].start |
11978.29409375 |
transcript.pyannote[1212].end |
11984.94284375 |
transcript.pyannote[1213].speaker |
SPEAKER_12 |
transcript.pyannote[1213].start |
11985.16221875 |
transcript.pyannote[1213].end |
12007.70721875 |
transcript.pyannote[1214].speaker |
SPEAKER_12 |
transcript.pyannote[1214].start |
12007.90971875 |
transcript.pyannote[1214].end |
12050.02971875 |
transcript.pyannote[1215].speaker |
SPEAKER_12 |
transcript.pyannote[1215].start |
12050.35034375 |
transcript.pyannote[1215].end |
12050.80596875 |
transcript.pyannote[1216].speaker |
SPEAKER_12 |
transcript.pyannote[1216].start |
12052.34159375 |
transcript.pyannote[1216].end |
12052.74659375 |
transcript.pyannote[1217].speaker |
SPEAKER_12 |
transcript.pyannote[1217].start |
12053.74221875 |
transcript.pyannote[1217].end |
12063.98534375 |
transcript.pyannote[1218].speaker |
SPEAKER_12 |
transcript.pyannote[1218].start |
12064.84596875 |
transcript.pyannote[1218].end |
12075.24096875 |
transcript.pyannote[1219].speaker |
SPEAKER_12 |
transcript.pyannote[1219].start |
12075.71346875 |
transcript.pyannote[1219].end |
12079.02096875 |
transcript.pyannote[1220].speaker |
SPEAKER_12 |
transcript.pyannote[1220].start |
12079.29096875 |
transcript.pyannote[1220].end |
12090.27659375 |
transcript.pyannote[1221].speaker |
SPEAKER_12 |
transcript.pyannote[1221].start |
12090.39471875 |
transcript.pyannote[1221].end |
12107.03346875 |
transcript.pyannote[1222].speaker |
SPEAKER_12 |
transcript.pyannote[1222].start |
12107.30346875 |
transcript.pyannote[1222].end |
12132.78471875 |
transcript.pyannote[1223].speaker |
SPEAKER_12 |
transcript.pyannote[1223].start |
12133.00409375 |
transcript.pyannote[1223].end |
12134.37096875 |
transcript.pyannote[1224].speaker |
SPEAKER_12 |
transcript.pyannote[1224].start |
12135.16409375 |
transcript.pyannote[1224].end |
12170.75346875 |
transcript.pyannote[1225].speaker |
SPEAKER_12 |
transcript.pyannote[1225].start |
12171.96846875 |
transcript.pyannote[1225].end |
12182.81909375 |
transcript.pyannote[1226].speaker |
SPEAKER_12 |
transcript.pyannote[1226].start |
12183.27471875 |
transcript.pyannote[1226].end |
12189.92346875 |
transcript.pyannote[1227].speaker |
SPEAKER_12 |
transcript.pyannote[1227].start |
12190.21034375 |
transcript.pyannote[1227].end |
12201.83721875 |
transcript.pyannote[1228].speaker |
SPEAKER_12 |
transcript.pyannote[1228].start |
12202.69784375 |
transcript.pyannote[1228].end |
12203.49096875 |
transcript.pyannote[1229].speaker |
SPEAKER_12 |
transcript.pyannote[1229].start |
12203.74409375 |
transcript.pyannote[1229].end |
12213.64971875 |
transcript.pyannote[1230].speaker |
SPEAKER_12 |
transcript.pyannote[1230].start |
12213.97034375 |
transcript.pyannote[1230].end |
12222.10409375 |
transcript.pyannote[1231].speaker |
SPEAKER_12 |
transcript.pyannote[1231].start |
12223.21784375 |
transcript.pyannote[1231].end |
12231.36846875 |
transcript.pyannote[1232].speaker |
SPEAKER_12 |
transcript.pyannote[1232].start |
12232.17846875 |
transcript.pyannote[1232].end |
12232.56659375 |
transcript.pyannote[1233].speaker |
SPEAKER_12 |
transcript.pyannote[1233].start |
12233.02221875 |
transcript.pyannote[1233].end |
12239.92409375 |
transcript.pyannote[1234].speaker |
SPEAKER_12 |
transcript.pyannote[1234].start |
12240.21096875 |
transcript.pyannote[1234].end |
12244.63221875 |
transcript.pyannote[1235].speaker |
SPEAKER_12 |
transcript.pyannote[1235].start |
12244.90221875 |
transcript.pyannote[1235].end |
12246.28596875 |
transcript.pyannote[1236].speaker |
SPEAKER_12 |
transcript.pyannote[1236].start |
12246.64034375 |
transcript.pyannote[1236].end |
12255.36471875 |
transcript.pyannote[1237].speaker |
SPEAKER_12 |
transcript.pyannote[1237].start |
12255.97221875 |
transcript.pyannote[1237].end |
12256.34346875 |
transcript.pyannote[1238].speaker |
SPEAKER_12 |
transcript.pyannote[1238].start |
12256.96784375 |
transcript.pyannote[1238].end |
12281.70659375 |
transcript.pyannote[1239].speaker |
SPEAKER_12 |
transcript.pyannote[1239].start |
12282.66846875 |
transcript.pyannote[1239].end |
12283.68096875 |
transcript.pyannote[1240].speaker |
SPEAKER_12 |
transcript.pyannote[1240].start |
12284.03534375 |
transcript.pyannote[1240].end |
12285.04784375 |
transcript.pyannote[1241].speaker |
SPEAKER_12 |
transcript.pyannote[1241].start |
12285.30096875 |
transcript.pyannote[1241].end |
12288.38909375 |
transcript.pyannote[1242].speaker |
SPEAKER_12 |
transcript.pyannote[1242].start |
12288.82784375 |
transcript.pyannote[1242].end |
12297.34971875 |
transcript.pyannote[1243].speaker |
SPEAKER_12 |
transcript.pyannote[1243].start |
12297.61971875 |
transcript.pyannote[1243].end |
12299.03721875 |
transcript.pyannote[1244].speaker |
SPEAKER_12 |
transcript.pyannote[1244].start |
12299.57721875 |
transcript.pyannote[1244].end |
12304.94346875 |
transcript.pyannote[1245].speaker |
SPEAKER_12 |
transcript.pyannote[1245].start |
12305.14596875 |
transcript.pyannote[1245].end |
12320.72159375 |
transcript.pyannote[1246].speaker |
SPEAKER_12 |
transcript.pyannote[1246].start |
12321.09284375 |
transcript.pyannote[1246].end |
12322.45971875 |
transcript.pyannote[1247].speaker |
SPEAKER_12 |
transcript.pyannote[1247].start |
12322.71284375 |
transcript.pyannote[1247].end |
12323.69159375 |
transcript.pyannote[1248].speaker |
SPEAKER_12 |
transcript.pyannote[1248].start |
12324.06284375 |
transcript.pyannote[1248].end |
12326.49284375 |
transcript.pyannote[1249].speaker |
SPEAKER_12 |
transcript.pyannote[1249].start |
12326.94846875 |
transcript.pyannote[1249].end |
12327.75846875 |
transcript.pyannote[1250].speaker |
SPEAKER_12 |
transcript.pyannote[1250].start |
12329.59784375 |
transcript.pyannote[1250].end |
12340.24596875 |
transcript.pyannote[1251].speaker |
SPEAKER_12 |
transcript.pyannote[1251].start |
12340.75221875 |
transcript.pyannote[1251].end |
12343.70534375 |
transcript.pyannote[1252].speaker |
SPEAKER_12 |
transcript.pyannote[1252].start |
12344.32971875 |
transcript.pyannote[1252].end |
12351.34971875 |
transcript.pyannote[1253].speaker |
SPEAKER_12 |
transcript.pyannote[1253].start |
12351.83909375 |
transcript.pyannote[1253].end |
12352.53096875 |
transcript.pyannote[1254].speaker |
SPEAKER_12 |
transcript.pyannote[1254].start |
12353.67846875 |
transcript.pyannote[1254].end |
12354.31971875 |
transcript.pyannote[1255].speaker |
SPEAKER_14 |
transcript.pyannote[1255].start |
12354.31971875 |
transcript.pyannote[1255].end |
12357.42471875 |
transcript.pyannote[1256].speaker |
SPEAKER_12 |
transcript.pyannote[1256].start |
12354.35346875 |
transcript.pyannote[1256].end |
12354.70784375 |
transcript.pyannote[1257].speaker |
SPEAKER_14 |
transcript.pyannote[1257].start |
12358.09971875 |
transcript.pyannote[1257].end |
12361.69409375 |
transcript.pyannote[1258].speaker |
SPEAKER_19 |
transcript.pyannote[1258].start |
12362.28471875 |
transcript.pyannote[1258].end |
12365.05221875 |
transcript.pyannote[1259].speaker |
SPEAKER_19 |
transcript.pyannote[1259].start |
12365.15346875 |
transcript.pyannote[1259].end |
12365.25471875 |
transcript.pyannote[1260].speaker |
SPEAKER_12 |
transcript.pyannote[1260].start |
12365.25471875 |
transcript.pyannote[1260].end |
12370.38471875 |
transcript.pyannote[1261].speaker |
SPEAKER_19 |
transcript.pyannote[1261].start |
12365.32221875 |
transcript.pyannote[1261].end |
12366.57096875 |
transcript.pyannote[1262].speaker |
SPEAKER_12 |
transcript.pyannote[1262].start |
12370.94159375 |
transcript.pyannote[1262].end |
12370.97534375 |
transcript.pyannote[1263].speaker |
SPEAKER_19 |
transcript.pyannote[1263].start |
12370.97534375 |
transcript.pyannote[1263].end |
12371.02596875 |
transcript.pyannote[1264].speaker |
SPEAKER_12 |
transcript.pyannote[1264].start |
12371.26221875 |
transcript.pyannote[1264].end |
12371.75159375 |
transcript.pyannote[1265].speaker |
SPEAKER_19 |
transcript.pyannote[1265].start |
12371.75159375 |
transcript.pyannote[1265].end |
12371.81909375 |
transcript.pyannote[1266].speaker |
SPEAKER_12 |
transcript.pyannote[1266].start |
12371.81909375 |
transcript.pyannote[1266].end |
12371.83596875 |
transcript.pyannote[1267].speaker |
SPEAKER_12 |
transcript.pyannote[1267].start |
12372.52784375 |
transcript.pyannote[1267].end |
12376.25721875 |
transcript.pyannote[1268].speaker |
SPEAKER_12 |
transcript.pyannote[1268].start |
12376.76346875 |
transcript.pyannote[1268].end |
12377.20221875 |
transcript.pyannote[1269].speaker |
SPEAKER_12 |
transcript.pyannote[1269].start |
12377.64096875 |
transcript.pyannote[1269].end |
12379.80096875 |
transcript.pyannote[1270].speaker |
SPEAKER_12 |
transcript.pyannote[1270].start |
12380.74596875 |
transcript.pyannote[1270].end |
12383.46284375 |
transcript.pyannote[1271].speaker |
SPEAKER_12 |
transcript.pyannote[1271].start |
12384.18846875 |
transcript.pyannote[1271].end |
12387.46221875 |
transcript.pyannote[1272].speaker |
SPEAKER_12 |
transcript.pyannote[1272].start |
12388.12034375 |
transcript.pyannote[1272].end |
12395.08971875 |
transcript.pyannote[1273].speaker |
SPEAKER_12 |
transcript.pyannote[1273].start |
12395.54534375 |
transcript.pyannote[1273].end |
12397.33409375 |
transcript.pyannote[1274].speaker |
SPEAKER_12 |
transcript.pyannote[1274].start |
12398.34659375 |
transcript.pyannote[1274].end |
12414.46221875 |
transcript.pyannote[1275].speaker |
SPEAKER_12 |
transcript.pyannote[1275].start |
12414.85034375 |
transcript.pyannote[1275].end |
12414.96846875 |
transcript.pyannote[1276].speaker |
SPEAKER_17 |
transcript.pyannote[1276].start |
12414.96846875 |
transcript.pyannote[1276].end |
12416.75721875 |
transcript.pyannote[1277].speaker |
SPEAKER_12 |
transcript.pyannote[1277].start |
12416.18346875 |
transcript.pyannote[1277].end |
12416.52096875 |
transcript.pyannote[1278].speaker |
SPEAKER_12 |
transcript.pyannote[1278].start |
12416.75721875 |
transcript.pyannote[1278].end |
12416.97659375 |
transcript.pyannote[1279].speaker |
SPEAKER_17 |
transcript.pyannote[1279].start |
12416.97659375 |
transcript.pyannote[1279].end |
12417.02721875 |
transcript.pyannote[1280].speaker |
SPEAKER_12 |
transcript.pyannote[1280].start |
12417.02721875 |
transcript.pyannote[1280].end |
12417.07784375 |
transcript.pyannote[1281].speaker |
SPEAKER_17 |
transcript.pyannote[1281].start |
12417.07784375 |
transcript.pyannote[1281].end |
12417.19596875 |
transcript.pyannote[1282].speaker |
SPEAKER_12 |
transcript.pyannote[1282].start |
12417.19596875 |
transcript.pyannote[1282].end |
12417.21284375 |
transcript.pyannote[1283].speaker |
SPEAKER_17 |
transcript.pyannote[1283].start |
12417.21284375 |
transcript.pyannote[1283].end |
12418.24221875 |
transcript.pyannote[1284].speaker |
SPEAKER_12 |
transcript.pyannote[1284].start |
12418.24221875 |
transcript.pyannote[1284].end |
12418.93409375 |
transcript.pyannote[1285].speaker |
SPEAKER_17 |
transcript.pyannote[1285].start |
12418.93409375 |
transcript.pyannote[1285].end |
12418.95096875 |
transcript.pyannote[1286].speaker |
SPEAKER_12 |
transcript.pyannote[1286].start |
12418.95096875 |
transcript.pyannote[1286].end |
12418.96784375 |
transcript.pyannote[1287].speaker |
SPEAKER_17 |
transcript.pyannote[1287].start |
12418.96784375 |
transcript.pyannote[1287].end |
12419.03534375 |
transcript.pyannote[1288].speaker |
SPEAKER_12 |
transcript.pyannote[1288].start |
12419.03534375 |
transcript.pyannote[1288].end |
12419.54159375 |
transcript.pyannote[1289].speaker |
SPEAKER_17 |
transcript.pyannote[1289].start |
12419.54159375 |
transcript.pyannote[1289].end |
12419.74409375 |
transcript.pyannote[1290].speaker |
SPEAKER_12 |
transcript.pyannote[1290].start |
12419.74409375 |
transcript.pyannote[1290].end |
12419.96346875 |
transcript.pyannote[1291].speaker |
SPEAKER_17 |
transcript.pyannote[1291].start |
12419.96346875 |
transcript.pyannote[1291].end |
12420.30096875 |
transcript.pyannote[1292].speaker |
SPEAKER_12 |
transcript.pyannote[1292].start |
12420.30096875 |
transcript.pyannote[1292].end |
12420.97596875 |
transcript.pyannote[1293].speaker |
SPEAKER_17 |
transcript.pyannote[1293].start |
12420.97596875 |
transcript.pyannote[1293].end |
12421.02659375 |
transcript.pyannote[1294].speaker |
SPEAKER_12 |
transcript.pyannote[1294].start |
12421.02659375 |
transcript.pyannote[1294].end |
12421.04346875 |
transcript.pyannote[1295].speaker |
SPEAKER_17 |
transcript.pyannote[1295].start |
12421.04346875 |
transcript.pyannote[1295].end |
12421.06034375 |
transcript.pyannote[1296].speaker |
SPEAKER_12 |
transcript.pyannote[1296].start |
12421.06034375 |
transcript.pyannote[1296].end |
12445.96784375 |
transcript.pyannote[1297].speaker |
SPEAKER_12 |
transcript.pyannote[1297].start |
12446.01846875 |
transcript.pyannote[1297].end |
12468.27659375 |
transcript.pyannote[1298].speaker |
SPEAKER_12 |
transcript.pyannote[1298].start |
12468.37784375 |
transcript.pyannote[1298].end |
12475.36409375 |
transcript.pyannote[1299].speaker |
SPEAKER_12 |
transcript.pyannote[1299].start |
12475.54971875 |
transcript.pyannote[1299].end |
12498.31409375 |
transcript.pyannote[1300].speaker |
SPEAKER_12 |
transcript.pyannote[1300].start |
12498.95534375 |
transcript.pyannote[1300].end |
12510.04221875 |
transcript.pyannote[1301].speaker |
SPEAKER_12 |
transcript.pyannote[1301].start |
12510.17721875 |
transcript.pyannote[1301].end |
12513.83909375 |
transcript.pyannote[1302].speaker |
SPEAKER_12 |
transcript.pyannote[1302].start |
12514.27784375 |
transcript.pyannote[1302].end |
12525.48284375 |
transcript.pyannote[1303].speaker |
SPEAKER_12 |
transcript.pyannote[1303].start |
12526.19159375 |
transcript.pyannote[1303].end |
12528.30096875 |
transcript.pyannote[1304].speaker |
SPEAKER_12 |
transcript.pyannote[1304].start |
12530.96721875 |
transcript.pyannote[1304].end |
12530.98409375 |
transcript.pyannote[1305].speaker |
SPEAKER_16 |
transcript.pyannote[1305].start |
12530.98409375 |
transcript.pyannote[1305].end |
12531.81096875 |
transcript.pyannote[1306].speaker |
SPEAKER_16 |
transcript.pyannote[1306].start |
12532.38471875 |
transcript.pyannote[1306].end |
12567.51846875 |
transcript.pyannote[1307].speaker |
SPEAKER_16 |
transcript.pyannote[1307].start |
12567.73784375 |
transcript.pyannote[1307].end |
12643.99596875 |
transcript.pyannote[1308].speaker |
SPEAKER_19 |
transcript.pyannote[1308].start |
12621.60284375 |
transcript.pyannote[1308].end |
12621.97409375 |
transcript.pyannote[1309].speaker |
SPEAKER_00 |
transcript.pyannote[1309].start |
12621.97409375 |
transcript.pyannote[1309].end |
12623.22284375 |
transcript.pyannote[1310].speaker |
SPEAKER_00 |
transcript.pyannote[1310].start |
12626.27721875 |
transcript.pyannote[1310].end |
12626.49659375 |
transcript.pyannote[1311].speaker |
SPEAKER_06 |
transcript.pyannote[1311].start |
12645.58221875 |
transcript.pyannote[1311].end |
12646.78034375 |
transcript.pyannote[1312].speaker |
SPEAKER_17 |
transcript.pyannote[1312].start |
12646.10534375 |
transcript.pyannote[1312].end |
12646.13909375 |
transcript.pyannote[1313].speaker |
SPEAKER_16 |
transcript.pyannote[1313].start |
12646.13909375 |
transcript.pyannote[1313].end |
12646.59471875 |
transcript.pyannote[1314].speaker |
SPEAKER_06 |
transcript.pyannote[1314].start |
12647.01659375 |
transcript.pyannote[1314].end |
12649.95284375 |
transcript.pyannote[1315].speaker |
SPEAKER_06 |
transcript.pyannote[1315].start |
12650.74596875 |
transcript.pyannote[1315].end |
12652.60221875 |
transcript.pyannote[1316].speaker |
SPEAKER_06 |
transcript.pyannote[1316].start |
12652.97346875 |
transcript.pyannote[1316].end |
12654.62721875 |
transcript.pyannote[1317].speaker |
SPEAKER_06 |
transcript.pyannote[1317].start |
12655.43721875 |
transcript.pyannote[1317].end |
12660.06096875 |
transcript.pyannote[1318].speaker |
SPEAKER_06 |
transcript.pyannote[1318].start |
12660.75284375 |
transcript.pyannote[1318].end |
12680.76659375 |
transcript.pyannote[1319].speaker |
SPEAKER_25 |
transcript.pyannote[1319].start |
12682.55534375 |
transcript.pyannote[1319].end |
12682.57221875 |
transcript.pyannote[1320].speaker |
SPEAKER_12 |
transcript.pyannote[1320].start |
12682.57221875 |
transcript.pyannote[1320].end |
12683.38221875 |
transcript.pyannote[1321].speaker |
SPEAKER_12 |
transcript.pyannote[1321].start |
12685.47471875 |
transcript.pyannote[1321].end |
12711.39471875 |
transcript.pyannote[1322].speaker |
SPEAKER_12 |
transcript.pyannote[1322].start |
12712.35659375 |
transcript.pyannote[1322].end |
12722.75159375 |
transcript.pyannote[1323].speaker |
SPEAKER_12 |
transcript.pyannote[1323].start |
12723.15659375 |
transcript.pyannote[1323].end |
12727.22346875 |
transcript.pyannote[1324].speaker |
SPEAKER_12 |
transcript.pyannote[1324].start |
12727.57784375 |
transcript.pyannote[1324].end |
12731.13846875 |
transcript.pyannote[1325].speaker |
SPEAKER_12 |
transcript.pyannote[1325].start |
12731.17221875 |
transcript.pyannote[1325].end |
12765.20909375 |
transcript.pyannote[1326].speaker |
SPEAKER_12 |
transcript.pyannote[1326].start |
12765.88409375 |
transcript.pyannote[1326].end |
12792.20909375 |
transcript.pyannote[1327].speaker |
SPEAKER_12 |
transcript.pyannote[1327].start |
12793.12034375 |
transcript.pyannote[1327].end |
12795.02721875 |
transcript.pyannote[1328].speaker |
SPEAKER_12 |
transcript.pyannote[1328].start |
12795.06096875 |
transcript.pyannote[1328].end |
12795.75284375 |
transcript.pyannote[1329].speaker |
SPEAKER_12 |
transcript.pyannote[1329].start |
12796.36034375 |
transcript.pyannote[1329].end |
12797.08596875 |
transcript.pyannote[1330].speaker |
SPEAKER_12 |
transcript.pyannote[1330].start |
12797.98034375 |
transcript.pyannote[1330].end |
12803.05971875 |
transcript.pyannote[1331].speaker |
SPEAKER_12 |
transcript.pyannote[1331].start |
12803.70096875 |
transcript.pyannote[1331].end |
12804.64596875 |
transcript.pyannote[1332].speaker |
SPEAKER_12 |
transcript.pyannote[1332].start |
12804.93284375 |
transcript.pyannote[1332].end |
12816.01971875 |
transcript.pyannote[1333].speaker |
SPEAKER_06 |
transcript.pyannote[1333].start |
12816.01971875 |
transcript.pyannote[1333].end |
12819.81659375 |
transcript.pyannote[1334].speaker |
SPEAKER_12 |
transcript.pyannote[1334].start |
12817.84221875 |
transcript.pyannote[1334].end |
12818.38221875 |
transcript.pyannote[1335].speaker |
SPEAKER_06 |
transcript.pyannote[1335].start |
12819.98534375 |
transcript.pyannote[1335].end |
12822.22971875 |
transcript.pyannote[1336].speaker |
SPEAKER_12 |
transcript.pyannote[1336].start |
12820.71096875 |
transcript.pyannote[1336].end |
12821.70659375 |
transcript.pyannote[1337].speaker |
SPEAKER_06 |
transcript.pyannote[1337].start |
12822.53346875 |
transcript.pyannote[1337].end |
12823.66409375 |
transcript.pyannote[1338].speaker |
SPEAKER_06 |
transcript.pyannote[1338].start |
12824.10284375 |
transcript.pyannote[1338].end |
12827.41034375 |
transcript.pyannote[1339].speaker |
SPEAKER_12 |
transcript.pyannote[1339].start |
12827.41034375 |
transcript.pyannote[1339].end |
12828.20346875 |
transcript.pyannote[1340].speaker |
SPEAKER_06 |
transcript.pyannote[1340].start |
12827.83221875 |
transcript.pyannote[1340].end |
12828.27096875 |
transcript.pyannote[1341].speaker |
SPEAKER_12 |
transcript.pyannote[1341].start |
12828.27096875 |
transcript.pyannote[1341].end |
12831.17346875 |
transcript.pyannote[1342].speaker |
SPEAKER_06 |
transcript.pyannote[1342].start |
12829.08096875 |
transcript.pyannote[1342].end |
12829.55346875 |
transcript.pyannote[1343].speaker |
SPEAKER_12 |
transcript.pyannote[1343].start |
12832.33784375 |
transcript.pyannote[1343].end |
12832.77659375 |
transcript.pyannote[1344].speaker |
SPEAKER_12 |
transcript.pyannote[1344].start |
12833.26596875 |
transcript.pyannote[1344].end |
12835.86471875 |
transcript.pyannote[1345].speaker |
SPEAKER_18 |
transcript.pyannote[1345].start |
12840.97784375 |
transcript.pyannote[1345].end |
12841.02846875 |
transcript.pyannote[1346].speaker |
SPEAKER_17 |
transcript.pyannote[1346].start |
13323.38346875 |
transcript.pyannote[1346].end |
13323.92346875 |
transcript.pyannote[1347].speaker |
SPEAKER_17 |
transcript.pyannote[1347].start |
13324.51409375 |
transcript.pyannote[1347].end |
13330.09971875 |
transcript.pyannote[1348].speaker |
SPEAKER_17 |
transcript.pyannote[1348].start |
13330.89284375 |
transcript.pyannote[1348].end |
13345.59096875 |
transcript.pyannote[1349].speaker |
SPEAKER_17 |
transcript.pyannote[1349].start |
13346.04659375 |
transcript.pyannote[1349].end |
13346.31659375 |
transcript.pyannote[1350].speaker |
SPEAKER_17 |
transcript.pyannote[1350].start |
13346.89034375 |
transcript.pyannote[1350].end |
13347.16034375 |
transcript.pyannote[1351].speaker |
SPEAKER_17 |
transcript.pyannote[1351].start |
13350.97409375 |
transcript.pyannote[1351].end |
13353.15096875 |
transcript.pyannote[1352].speaker |
SPEAKER_17 |
transcript.pyannote[1352].start |
13353.50534375 |
transcript.pyannote[1352].end |
13354.83846875 |
transcript.pyannote[1353].speaker |
SPEAKER_17 |
transcript.pyannote[1353].start |
13355.26034375 |
transcript.pyannote[1353].end |
13357.58909375 |
transcript.pyannote[1354].speaker |
SPEAKER_17 |
transcript.pyannote[1354].start |
13357.74096875 |
transcript.pyannote[1354].end |
13359.44534375 |
transcript.pyannote[1355].speaker |
SPEAKER_17 |
transcript.pyannote[1355].start |
13360.00221875 |
transcript.pyannote[1355].end |
13368.60846875 |
transcript.pyannote[1356].speaker |
SPEAKER_17 |
transcript.pyannote[1356].start |
13370.11034375 |
transcript.pyannote[1356].end |
13370.51534375 |
transcript.pyannote[1357].speaker |
SPEAKER_19 |
transcript.pyannote[1357].start |
13370.34659375 |
transcript.pyannote[1357].end |
13370.41409375 |
transcript.pyannote[1358].speaker |
SPEAKER_19 |
transcript.pyannote[1358].start |
13370.51534375 |
transcript.pyannote[1358].end |
13370.71784375 |
transcript.pyannote[1359].speaker |
SPEAKER_17 |
transcript.pyannote[1359].start |
13370.71784375 |
transcript.pyannote[1359].end |
13370.75159375 |
transcript.pyannote[1360].speaker |
SPEAKER_17 |
transcript.pyannote[1360].start |
13370.93721875 |
transcript.pyannote[1360].end |
13375.57784375 |
transcript.pyannote[1361].speaker |
SPEAKER_17 |
transcript.pyannote[1361].start |
13377.61971875 |
transcript.pyannote[1361].end |
13378.36221875 |
transcript.pyannote[1362].speaker |
SPEAKER_17 |
transcript.pyannote[1362].start |
13378.69971875 |
transcript.pyannote[1362].end |
13379.05409375 |
transcript.pyannote[1363].speaker |
SPEAKER_17 |
transcript.pyannote[1363].start |
13379.84721875 |
transcript.pyannote[1363].end |
13387.47471875 |
transcript.pyannote[1364].speaker |
SPEAKER_17 |
transcript.pyannote[1364].start |
13387.62659375 |
transcript.pyannote[1364].end |
13389.28034375 |
transcript.pyannote[1365].speaker |
SPEAKER_17 |
transcript.pyannote[1365].start |
13390.79909375 |
transcript.pyannote[1365].end |
13391.22096875 |
transcript.pyannote[1366].speaker |
SPEAKER_17 |
transcript.pyannote[1366].start |
13391.52471875 |
transcript.pyannote[1366].end |
13392.70596875 |
transcript.pyannote[1367].speaker |
SPEAKER_17 |
transcript.pyannote[1367].start |
13395.77721875 |
transcript.pyannote[1367].end |
13395.97971875 |
transcript.pyannote[1368].speaker |
SPEAKER_17 |
transcript.pyannote[1368].start |
13400.38409375 |
transcript.pyannote[1368].end |
13401.17721875 |
transcript.pyannote[1369].speaker |
SPEAKER_17 |
transcript.pyannote[1369].start |
13404.65346875 |
transcript.pyannote[1369].end |
13405.51409375 |
transcript.pyannote[1370].speaker |
SPEAKER_15 |
transcript.pyannote[1370].start |
13411.97721875 |
transcript.pyannote[1370].end |
13413.02346875 |
transcript.pyannote[1371].speaker |
SPEAKER_15 |
transcript.pyannote[1371].start |
13413.95159375 |
transcript.pyannote[1371].end |
13414.01909375 |
transcript.pyannote[1372].speaker |
SPEAKER_17 |
transcript.pyannote[1372].start |
13414.59284375 |
transcript.pyannote[1372].end |
13415.26784375 |
transcript.pyannote[1373].speaker |
SPEAKER_17 |
transcript.pyannote[1373].start |
13415.62221875 |
transcript.pyannote[1373].end |
13417.88346875 |
transcript.pyannote[1374].speaker |
SPEAKER_17 |
transcript.pyannote[1374].start |
13419.72284375 |
transcript.pyannote[1374].end |
13421.41034375 |
transcript.pyannote[1375].speaker |
SPEAKER_19 |
transcript.pyannote[1375].start |
13421.79846875 |
transcript.pyannote[1375].end |
13421.81534375 |
transcript.pyannote[1376].speaker |
SPEAKER_17 |
transcript.pyannote[1376].start |
13422.62534375 |
transcript.pyannote[1376].end |
13423.23284375 |
transcript.pyannote[1377].speaker |
SPEAKER_17 |
transcript.pyannote[1377].start |
13425.84846875 |
transcript.pyannote[1377].end |
13426.72596875 |
transcript.pyannote[1378].speaker |
SPEAKER_02 |
transcript.pyannote[1378].start |
13426.72596875 |
transcript.pyannote[1378].end |
13427.01284375 |
transcript.pyannote[1379].speaker |
SPEAKER_17 |
transcript.pyannote[1379].start |
13427.01284375 |
transcript.pyannote[1379].end |
13428.64971875 |
transcript.pyannote[1380].speaker |
SPEAKER_02 |
transcript.pyannote[1380].start |
13428.22784375 |
transcript.pyannote[1380].end |
13428.61596875 |
transcript.pyannote[1381].speaker |
SPEAKER_02 |
transcript.pyannote[1381].start |
13428.64971875 |
transcript.pyannote[1381].end |
13428.66659375 |
transcript.pyannote[1382].speaker |
SPEAKER_17 |
transcript.pyannote[1382].start |
13428.66659375 |
transcript.pyannote[1382].end |
13428.71721875 |
transcript.pyannote[1383].speaker |
SPEAKER_02 |
transcript.pyannote[1383].start |
13428.71721875 |
transcript.pyannote[1383].end |
13429.02096875 |
transcript.pyannote[1384].speaker |
SPEAKER_18 |
transcript.pyannote[1384].start |
13429.12221875 |
transcript.pyannote[1384].end |
13429.27409375 |
transcript.pyannote[1385].speaker |
SPEAKER_18 |
transcript.pyannote[1385].start |
13429.37534375 |
transcript.pyannote[1385].end |
13429.69596875 |
transcript.pyannote[1386].speaker |
SPEAKER_19 |
transcript.pyannote[1386].start |
13429.69596875 |
transcript.pyannote[1386].end |
13430.13471875 |
transcript.pyannote[1387].speaker |
SPEAKER_17 |
transcript.pyannote[1387].start |
13432.83471875 |
transcript.pyannote[1387].end |
13432.85159375 |
transcript.pyannote[1388].speaker |
SPEAKER_02 |
transcript.pyannote[1388].start |
13432.85159375 |
transcript.pyannote[1388].end |
13432.88534375 |
transcript.pyannote[1389].speaker |
SPEAKER_17 |
transcript.pyannote[1389].start |
13432.88534375 |
transcript.pyannote[1389].end |
13432.90221875 |
transcript.pyannote[1390].speaker |
SPEAKER_02 |
transcript.pyannote[1390].start |
13432.90221875 |
transcript.pyannote[1390].end |
13433.08784375 |
transcript.pyannote[1391].speaker |
SPEAKER_17 |
transcript.pyannote[1391].start |
13433.08784375 |
transcript.pyannote[1391].end |
13433.20596875 |
transcript.pyannote[1392].speaker |
SPEAKER_17 |
transcript.pyannote[1392].start |
13439.75346875 |
transcript.pyannote[1392].end |
13442.99346875 |
transcript.pyannote[1393].speaker |
SPEAKER_17 |
transcript.pyannote[1393].start |
13443.53346875 |
transcript.pyannote[1393].end |
13446.31784375 |
transcript.pyannote[1394].speaker |
SPEAKER_17 |
transcript.pyannote[1394].start |
13447.65096875 |
transcript.pyannote[1394].end |
13447.85346875 |
transcript.pyannote[1395].speaker |
SPEAKER_17 |
transcript.pyannote[1395].start |
13448.42721875 |
transcript.pyannote[1395].end |
13450.21596875 |
transcript.pyannote[1396].speaker |
SPEAKER_17 |
transcript.pyannote[1396].start |
13451.65034375 |
transcript.pyannote[1396].end |
13451.75159375 |
transcript.pyannote[1397].speaker |
SPEAKER_17 |
transcript.pyannote[1397].start |
13453.01721875 |
transcript.pyannote[1397].end |
13453.33784375 |
transcript.pyannote[1398].speaker |
SPEAKER_17 |
transcript.pyannote[1398].start |
13456.42596875 |
transcript.pyannote[1398].end |
13456.71284375 |
transcript.pyannote[1399].speaker |
SPEAKER_17 |
transcript.pyannote[1399].start |
13458.90659375 |
transcript.pyannote[1399].end |
13459.42971875 |
transcript.pyannote[1400].speaker |
SPEAKER_17 |
transcript.pyannote[1400].start |
13460.47596875 |
transcript.pyannote[1400].end |
13461.03284375 |
transcript.pyannote[1401].speaker |
SPEAKER_17 |
transcript.pyannote[1401].start |
13461.69096875 |
transcript.pyannote[1401].end |
13464.17159375 |
transcript.pyannote[1402].speaker |
SPEAKER_19 |
transcript.pyannote[1402].start |
13464.03659375 |
transcript.pyannote[1402].end |
13465.01534375 |
transcript.pyannote[1403].speaker |
SPEAKER_02 |
transcript.pyannote[1403].start |
13685.55471875 |
transcript.pyannote[1403].end |
13685.57159375 |
transcript.pyannote[1404].speaker |
SPEAKER_17 |
transcript.pyannote[1404].start |
13685.57159375 |
transcript.pyannote[1404].end |
13686.87096875 |
transcript.pyannote[1405].speaker |
SPEAKER_17 |
transcript.pyannote[1405].start |
13687.03971875 |
transcript.pyannote[1405].end |
13688.79471875 |
transcript.pyannote[1406].speaker |
SPEAKER_17 |
transcript.pyannote[1406].start |
16417.76909375 |
transcript.pyannote[1406].end |
16418.17409375 |
transcript.pyannote[1407].speaker |
SPEAKER_17 |
transcript.pyannote[1407].start |
16418.81534375 |
transcript.pyannote[1407].end |
16423.23659375 |
transcript.pyannote[1408].speaker |
SPEAKER_17 |
transcript.pyannote[1408].start |
16423.65846875 |
transcript.pyannote[1408].end |
16424.65409375 |
transcript.pyannote[1409].speaker |
SPEAKER_17 |
transcript.pyannote[1409].start |
16426.30784375 |
transcript.pyannote[1409].end |
16426.61159375 |
transcript.pyannote[1410].speaker |
SPEAKER_17 |
transcript.pyannote[1410].start |
16427.75909375 |
transcript.pyannote[1410].end |
16428.58596875 |
transcript.pyannote[1411].speaker |
SPEAKER_17 |
transcript.pyannote[1411].start |
16430.35784375 |
transcript.pyannote[1411].end |
16438.96409375 |
transcript.pyannote[1412].speaker |
SPEAKER_17 |
transcript.pyannote[1412].start |
16439.28471875 |
transcript.pyannote[1412].end |
16441.20846875 |
transcript.pyannote[1413].speaker |
SPEAKER_17 |
transcript.pyannote[1413].start |
16441.98471875 |
transcript.pyannote[1413].end |
16444.97159375 |
transcript.pyannote[1414].speaker |
SPEAKER_14 |
transcript.pyannote[1414].start |
16444.97159375 |
transcript.pyannote[1414].end |
16445.07284375 |
transcript.pyannote[1415].speaker |
SPEAKER_14 |
transcript.pyannote[1415].start |
16446.03471875 |
transcript.pyannote[1415].end |
16446.33846875 |
transcript.pyannote[1416].speaker |
SPEAKER_14 |
transcript.pyannote[1416].start |
16446.84471875 |
transcript.pyannote[1416].end |
16455.97409375 |
transcript.pyannote[1417].speaker |
SPEAKER_17 |
transcript.pyannote[1417].start |
16457.18909375 |
transcript.pyannote[1417].end |
16459.78784375 |
transcript.pyannote[1418].speaker |
SPEAKER_14 |
transcript.pyannote[1418].start |
16458.96096875 |
transcript.pyannote[1418].end |
16459.48409375 |
transcript.pyannote[1419].speaker |
SPEAKER_14 |
transcript.pyannote[1419].start |
16459.78784375 |
transcript.pyannote[1419].end |
16462.43721875 |
transcript.pyannote[1420].speaker |
SPEAKER_17 |
transcript.pyannote[1420].start |
16461.81284375 |
transcript.pyannote[1420].end |
16463.36534375 |
transcript.pyannote[1421].speaker |
SPEAKER_17 |
transcript.pyannote[1421].start |
16464.10784375 |
transcript.pyannote[1421].end |
16470.68909375 |
transcript.pyannote[1422].speaker |
SPEAKER_14 |
transcript.pyannote[1422].start |
16465.08659375 |
transcript.pyannote[1422].end |
16467.87096875 |
transcript.pyannote[1423].speaker |
SPEAKER_14 |
transcript.pyannote[1423].start |
16469.10284375 |
transcript.pyannote[1423].end |
16470.16596875 |
transcript.pyannote[1424].speaker |
SPEAKER_19 |
transcript.pyannote[1424].start |
16470.16596875 |
transcript.pyannote[1424].end |
16470.65534375 |
transcript.pyannote[1425].speaker |
SPEAKER_19 |
transcript.pyannote[1425].start |
16470.68909375 |
transcript.pyannote[1425].end |
16470.72284375 |
transcript.pyannote[1426].speaker |
SPEAKER_17 |
transcript.pyannote[1426].start |
16471.43159375 |
transcript.pyannote[1426].end |
16471.78596875 |
transcript.pyannote[1427].speaker |
SPEAKER_17 |
transcript.pyannote[1427].start |
16472.73096875 |
transcript.pyannote[1427].end |
16473.27096875 |
transcript.pyannote[1428].speaker |
SPEAKER_17 |
transcript.pyannote[1428].start |
16473.91221875 |
transcript.pyannote[1428].end |
16477.06784375 |
transcript.pyannote[1429].speaker |
SPEAKER_17 |
transcript.pyannote[1429].start |
16480.30784375 |
transcript.pyannote[1429].end |
16481.62409375 |
transcript.pyannote[1430].speaker |
SPEAKER_17 |
transcript.pyannote[1430].start |
16482.31596875 |
transcript.pyannote[1430].end |
16490.73659375 |
transcript.pyannote[1431].speaker |
SPEAKER_17 |
transcript.pyannote[1431].start |
16492.60971875 |
transcript.pyannote[1431].end |
16494.41534375 |
transcript.pyannote[1432].speaker |
SPEAKER_17 |
transcript.pyannote[1432].start |
16495.36034375 |
transcript.pyannote[1432].end |
16500.81096875 |
transcript.pyannote[1433].speaker |
SPEAKER_17 |
transcript.pyannote[1433].start |
16501.23284375 |
transcript.pyannote[1433].end |
16501.30034375 |
transcript.pyannote[1434].speaker |
SPEAKER_21 |
transcript.pyannote[1434].start |
16501.30034375 |
transcript.pyannote[1434].end |
16501.31721875 |
transcript.pyannote[1435].speaker |
SPEAKER_17 |
transcript.pyannote[1435].start |
16501.31721875 |
transcript.pyannote[1435].end |
16501.41846875 |
transcript.pyannote[1436].speaker |
SPEAKER_21 |
transcript.pyannote[1436].start |
16501.41846875 |
transcript.pyannote[1436].end |
16502.29596875 |
transcript.pyannote[1437].speaker |
SPEAKER_17 |
transcript.pyannote[1437].start |
16502.29596875 |
transcript.pyannote[1437].end |
16502.73471875 |
transcript.pyannote[1438].speaker |
SPEAKER_17 |
transcript.pyannote[1438].start |
16503.08909375 |
transcript.pyannote[1438].end |
16503.46034375 |
transcript.pyannote[1439].speaker |
SPEAKER_17 |
transcript.pyannote[1439].start |
16504.55721875 |
transcript.pyannote[1439].end |
16505.18159375 |
transcript.pyannote[1440].speaker |
SPEAKER_17 |
transcript.pyannote[1440].start |
16505.82284375 |
transcript.pyannote[1440].end |
16506.36284375 |
transcript.pyannote[1441].speaker |
SPEAKER_17 |
transcript.pyannote[1441].start |
16506.64971875 |
transcript.pyannote[1441].end |
16507.42596875 |
transcript.pyannote[1442].speaker |
SPEAKER_17 |
transcript.pyannote[1442].start |
16509.50159375 |
transcript.pyannote[1442].end |
16510.53096875 |
transcript.pyannote[1443].speaker |
SPEAKER_21 |
transcript.pyannote[1443].start |
16510.61534375 |
transcript.pyannote[1443].end |
16511.81346875 |
transcript.pyannote[1444].speaker |
SPEAKER_17 |
transcript.pyannote[1444].start |
16512.23534375 |
transcript.pyannote[1444].end |
16512.25221875 |
transcript.pyannote[1445].speaker |
SPEAKER_22 |
transcript.pyannote[1445].start |
16512.25221875 |
transcript.pyannote[1445].end |
16513.21409375 |
transcript.pyannote[1446].speaker |
SPEAKER_22 |
transcript.pyannote[1446].start |
16514.19284375 |
transcript.pyannote[1446].end |
16514.78346875 |
transcript.pyannote[1447].speaker |
SPEAKER_22 |
transcript.pyannote[1447].start |
16515.00284375 |
transcript.pyannote[1447].end |
16515.44159375 |
transcript.pyannote[1448].speaker |
SPEAKER_22 |
transcript.pyannote[1448].start |
16515.91409375 |
transcript.pyannote[1448].end |
16524.84096875 |
transcript.pyannote[1449].speaker |
SPEAKER_19 |
transcript.pyannote[1449].start |
16524.53721875 |
transcript.pyannote[1449].end |
16524.82409375 |
transcript.pyannote[1450].speaker |
SPEAKER_19 |
transcript.pyannote[1450].start |
16524.84096875 |
transcript.pyannote[1450].end |
16525.09409375 |
transcript.pyannote[1451].speaker |
SPEAKER_22 |
transcript.pyannote[1451].start |
16525.09409375 |
transcript.pyannote[1451].end |
16532.50221875 |
transcript.pyannote[1452].speaker |
SPEAKER_22 |
transcript.pyannote[1452].start |
16532.62034375 |
transcript.pyannote[1452].end |
16533.51471875 |
transcript.pyannote[1453].speaker |
SPEAKER_22 |
transcript.pyannote[1453].start |
16533.90284375 |
transcript.pyannote[1453].end |
16543.26846875 |
transcript.pyannote[1454].speaker |
SPEAKER_22 |
transcript.pyannote[1454].start |
16543.92659375 |
transcript.pyannote[1454].end |
16555.82346875 |
transcript.pyannote[1455].speaker |
SPEAKER_22 |
transcript.pyannote[1455].start |
16555.99221875 |
transcript.pyannote[1455].end |
16559.36721875 |
transcript.pyannote[1456].speaker |
SPEAKER_22 |
transcript.pyannote[1456].start |
16559.85659375 |
transcript.pyannote[1456].end |
16567.78784375 |
transcript.pyannote[1457].speaker |
SPEAKER_22 |
transcript.pyannote[1457].start |
16567.88909375 |
transcript.pyannote[1457].end |
16569.32346875 |
transcript.pyannote[1458].speaker |
SPEAKER_22 |
transcript.pyannote[1458].start |
16569.66096875 |
transcript.pyannote[1458].end |
16575.12846875 |
transcript.pyannote[1459].speaker |
SPEAKER_17 |
transcript.pyannote[1459].start |
16575.73596875 |
transcript.pyannote[1459].end |
16576.39409375 |
transcript.pyannote[1460].speaker |
SPEAKER_17 |
transcript.pyannote[1460].start |
16576.91721875 |
transcript.pyannote[1460].end |
16583.09346875 |
transcript.pyannote[1461].speaker |
SPEAKER_19 |
transcript.pyannote[1461].start |
16583.43096875 |
transcript.pyannote[1461].end |
16583.76846875 |
transcript.pyannote[1462].speaker |
SPEAKER_17 |
transcript.pyannote[1462].start |
16583.76846875 |
transcript.pyannote[1462].end |
16584.17346875 |
transcript.pyannote[1463].speaker |
SPEAKER_17 |
transcript.pyannote[1463].start |
16584.86534375 |
transcript.pyannote[1463].end |
16587.16034375 |
transcript.pyannote[1464].speaker |
SPEAKER_17 |
transcript.pyannote[1464].start |
16588.22346875 |
transcript.pyannote[1464].end |
16589.26971875 |
transcript.pyannote[1465].speaker |
SPEAKER_17 |
transcript.pyannote[1465].start |
16589.67471875 |
transcript.pyannote[1465].end |
16591.44659375 |
transcript.pyannote[1466].speaker |
SPEAKER_17 |
transcript.pyannote[1466].start |
16593.45471875 |
transcript.pyannote[1466].end |
16595.02409375 |
transcript.pyannote[1467].speaker |
SPEAKER_17 |
transcript.pyannote[1467].start |
16597.25159375 |
transcript.pyannote[1467].end |
16615.35846875 |
transcript.pyannote[1468].speaker |
SPEAKER_17 |
transcript.pyannote[1468].start |
16615.76346875 |
transcript.pyannote[1468].end |
16616.08409375 |
transcript.pyannote[1469].speaker |
SPEAKER_17 |
transcript.pyannote[1469].start |
16616.40471875 |
transcript.pyannote[1469].end |
16616.86034375 |
transcript.pyannote[1470].speaker |
SPEAKER_17 |
transcript.pyannote[1470].start |
16617.60284375 |
transcript.pyannote[1470].end |
16618.07534375 |
transcript.pyannote[1471].speaker |
SPEAKER_17 |
transcript.pyannote[1471].start |
16619.22284375 |
transcript.pyannote[1471].end |
16620.84284375 |
transcript.pyannote[1472].speaker |
SPEAKER_17 |
transcript.pyannote[1472].start |
16625.77034375 |
transcript.pyannote[1472].end |
16628.68971875 |
transcript.pyannote[1473].speaker |
SPEAKER_14 |
transcript.pyannote[1473].start |
16640.06346875 |
transcript.pyannote[1473].end |
16643.21909375 |
transcript.pyannote[1474].speaker |
SPEAKER_22 |
transcript.pyannote[1474].start |
16643.43846875 |
transcript.pyannote[1474].end |
16645.34534375 |
transcript.pyannote[1475].speaker |
SPEAKER_14 |
transcript.pyannote[1475].start |
16644.18096875 |
transcript.pyannote[1475].end |
16646.20596875 |
transcript.pyannote[1476].speaker |
SPEAKER_22 |
transcript.pyannote[1476].start |
16646.50971875 |
transcript.pyannote[1476].end |
16647.89346875 |
transcript.pyannote[1477].speaker |
SPEAKER_14 |
transcript.pyannote[1477].start |
16647.52221875 |
transcript.pyannote[1477].end |
16649.68221875 |
transcript.pyannote[1478].speaker |
SPEAKER_22 |
transcript.pyannote[1478].start |
16648.23096875 |
transcript.pyannote[1478].end |
16648.77096875 |
transcript.pyannote[1479].speaker |
SPEAKER_22 |
transcript.pyannote[1479].start |
16657.09034375 |
transcript.pyannote[1479].end |
16657.14096875 |
transcript.pyannote[1480].speaker |
SPEAKER_17 |
transcript.pyannote[1480].start |
16657.14096875 |
transcript.pyannote[1480].end |
16658.25471875 |
transcript.pyannote[1481].speaker |
SPEAKER_22 |
transcript.pyannote[1481].start |
16659.87471875 |
transcript.pyannote[1481].end |
16663.30034375 |
transcript.pyannote[1482].speaker |
SPEAKER_17 |
transcript.pyannote[1482].start |
16660.22909375 |
transcript.pyannote[1482].end |
16661.19096875 |
transcript.pyannote[1483].speaker |
SPEAKER_22 |
transcript.pyannote[1483].start |
16663.46909375 |
transcript.pyannote[1483].end |
16664.85284375 |
transcript.pyannote[1484].speaker |
SPEAKER_17 |
transcript.pyannote[1484].start |
16667.80596875 |
transcript.pyannote[1484].end |
16673.50971875 |
transcript.pyannote[1485].speaker |
SPEAKER_18 |
transcript.pyannote[1485].start |
16679.23034375 |
transcript.pyannote[1485].end |
16684.91721875 |
transcript.pyannote[1486].speaker |
SPEAKER_22 |
transcript.pyannote[1486].start |
16687.78596875 |
transcript.pyannote[1486].end |
16689.03471875 |
transcript.pyannote[1487].speaker |
SPEAKER_19 |
transcript.pyannote[1487].start |
16689.03471875 |
transcript.pyannote[1487].end |
16689.33846875 |
transcript.pyannote[1488].speaker |
SPEAKER_22 |
transcript.pyannote[1488].start |
16689.33846875 |
transcript.pyannote[1488].end |
16689.43971875 |
transcript.pyannote[1489].speaker |
SPEAKER_17 |
transcript.pyannote[1489].start |
16689.43971875 |
transcript.pyannote[1489].end |
16690.60409375 |
transcript.pyannote[1490].speaker |
SPEAKER_19 |
transcript.pyannote[1490].start |
16689.45659375 |
transcript.pyannote[1490].end |
16689.65909375 |
transcript.pyannote[1491].speaker |
SPEAKER_17 |
transcript.pyannote[1491].start |
16699.86846875 |
transcript.pyannote[1491].end |
16700.84721875 |
transcript.pyannote[1492].speaker |
SPEAKER_11 |
transcript.pyannote[1492].start |
16701.11721875 |
transcript.pyannote[1492].end |
16742.66346875 |
transcript.pyannote[1493].speaker |
SPEAKER_17 |
transcript.pyannote[1493].start |
16743.67596875 |
transcript.pyannote[1493].end |
16744.01346875 |
transcript.pyannote[1494].speaker |
SPEAKER_17 |
transcript.pyannote[1494].start |
16744.89096875 |
transcript.pyannote[1494].end |
16745.81909375 |
transcript.pyannote[1495].speaker |
SPEAKER_17 |
transcript.pyannote[1495].start |
16746.40971875 |
transcript.pyannote[1495].end |
16746.96659375 |
transcript.pyannote[1496].speaker |
SPEAKER_14 |
transcript.pyannote[1496].start |
16746.96659375 |
transcript.pyannote[1496].end |
16747.11846875 |
transcript.pyannote[1497].speaker |
SPEAKER_14 |
transcript.pyannote[1497].start |
16749.21096875 |
transcript.pyannote[1497].end |
16751.72534375 |
transcript.pyannote[1498].speaker |
SPEAKER_14 |
transcript.pyannote[1498].start |
16752.18096875 |
transcript.pyannote[1498].end |
16754.83034375 |
transcript.pyannote[1499].speaker |
SPEAKER_14 |
transcript.pyannote[1499].start |
16754.86409375 |
transcript.pyannote[1499].end |
16765.00596875 |
transcript.pyannote[1500].speaker |
SPEAKER_14 |
transcript.pyannote[1500].start |
16765.56284375 |
transcript.pyannote[1500].end |
16773.42659375 |
transcript.pyannote[1501].speaker |
SPEAKER_14 |
transcript.pyannote[1501].start |
16773.84846875 |
transcript.pyannote[1501].end |
16777.69596875 |
transcript.pyannote[1502].speaker |
SPEAKER_14 |
transcript.pyannote[1502].start |
16777.94909375 |
transcript.pyannote[1502].end |
16779.65346875 |
transcript.pyannote[1503].speaker |
SPEAKER_14 |
transcript.pyannote[1503].start |
16779.90659375 |
transcript.pyannote[1503].end |
16780.90221875 |
transcript.pyannote[1504].speaker |
SPEAKER_14 |
transcript.pyannote[1504].start |
16781.40846875 |
transcript.pyannote[1504].end |
16783.90596875 |
transcript.pyannote[1505].speaker |
SPEAKER_14 |
transcript.pyannote[1505].start |
16783.97346875 |
transcript.pyannote[1505].end |
16788.86721875 |
transcript.pyannote[1506].speaker |
SPEAKER_14 |
transcript.pyannote[1506].start |
16789.22159375 |
transcript.pyannote[1506].end |
16793.06909375 |
transcript.pyannote[1507].speaker |
SPEAKER_14 |
transcript.pyannote[1507].start |
16793.37284375 |
transcript.pyannote[1507].end |
16797.15284375 |
transcript.pyannote[1508].speaker |
SPEAKER_14 |
transcript.pyannote[1508].start |
16797.55784375 |
transcript.pyannote[1508].end |
16802.70471875 |
transcript.pyannote[1509].speaker |
SPEAKER_14 |
transcript.pyannote[1509].start |
16802.89034375 |
transcript.pyannote[1509].end |
16808.03721875 |
transcript.pyannote[1510].speaker |
SPEAKER_14 |
transcript.pyannote[1510].start |
16808.56034375 |
transcript.pyannote[1510].end |
16841.66909375 |
transcript.pyannote[1511].speaker |
SPEAKER_14 |
transcript.pyannote[1511].start |
16842.04034375 |
transcript.pyannote[1511].end |
16852.11471875 |
transcript.pyannote[1512].speaker |
SPEAKER_17 |
transcript.pyannote[1512].start |
16853.51534375 |
transcript.pyannote[1512].end |
16853.83596875 |
transcript.pyannote[1513].speaker |
SPEAKER_17 |
transcript.pyannote[1513].start |
16854.35909375 |
transcript.pyannote[1513].end |
16855.23659375 |
transcript.pyannote[1514].speaker |
SPEAKER_17 |
transcript.pyannote[1514].start |
16856.83971875 |
transcript.pyannote[1514].end |
16857.86909375 |
transcript.pyannote[1515].speaker |
SPEAKER_17 |
transcript.pyannote[1515].start |
16858.59471875 |
transcript.pyannote[1515].end |
16858.96596875 |
transcript.pyannote[1516].speaker |
SPEAKER_22 |
transcript.pyannote[1516].start |
16858.96596875 |
transcript.pyannote[1516].end |
16859.03346875 |
transcript.pyannote[1517].speaker |
SPEAKER_22 |
transcript.pyannote[1517].start |
16859.48909375 |
transcript.pyannote[1517].end |
16861.96971875 |
transcript.pyannote[1518].speaker |
SPEAKER_22 |
transcript.pyannote[1518].start |
16862.71221875 |
transcript.pyannote[1518].end |
16866.99846875 |
transcript.pyannote[1519].speaker |
SPEAKER_22 |
transcript.pyannote[1519].start |
16867.23471875 |
transcript.pyannote[1519].end |
16869.27659375 |
transcript.pyannote[1520].speaker |
SPEAKER_22 |
transcript.pyannote[1520].start |
16869.73221875 |
transcript.pyannote[1520].end |
16871.53784375 |
transcript.pyannote[1521].speaker |
SPEAKER_22 |
transcript.pyannote[1521].start |
16871.79096875 |
transcript.pyannote[1521].end |
16886.50596875 |
transcript.pyannote[1522].speaker |
SPEAKER_22 |
transcript.pyannote[1522].start |
16886.75909375 |
transcript.pyannote[1522].end |
16916.88096875 |
transcript.pyannote[1523].speaker |
SPEAKER_22 |
transcript.pyannote[1523].start |
16917.28596875 |
transcript.pyannote[1523].end |
16931.69721875 |
transcript.pyannote[1524].speaker |
SPEAKER_22 |
transcript.pyannote[1524].start |
16931.98409375 |
transcript.pyannote[1524].end |
16937.31659375 |
transcript.pyannote[1525].speaker |
SPEAKER_22 |
transcript.pyannote[1525].start |
16937.50221875 |
transcript.pyannote[1525].end |
16938.31221875 |
transcript.pyannote[1526].speaker |
SPEAKER_22 |
transcript.pyannote[1526].start |
16938.95346875 |
transcript.pyannote[1526].end |
16942.75034375 |
transcript.pyannote[1527].speaker |
SPEAKER_22 |
transcript.pyannote[1527].start |
16943.07096875 |
transcript.pyannote[1527].end |
16955.49096875 |
transcript.pyannote[1528].speaker |
SPEAKER_22 |
transcript.pyannote[1528].start |
16955.91284375 |
transcript.pyannote[1528].end |
16960.08096875 |
transcript.pyannote[1529].speaker |
SPEAKER_22 |
transcript.pyannote[1529].start |
16960.38471875 |
transcript.pyannote[1529].end |
16965.76784375 |
transcript.pyannote[1530].speaker |
SPEAKER_22 |
transcript.pyannote[1530].start |
16965.97034375 |
transcript.pyannote[1530].end |
16970.57721875 |
transcript.pyannote[1531].speaker |
SPEAKER_22 |
transcript.pyannote[1531].start |
16970.83034375 |
transcript.pyannote[1531].end |
16972.14659375 |
transcript.pyannote[1532].speaker |
SPEAKER_22 |
transcript.pyannote[1532].start |
16972.34909375 |
transcript.pyannote[1532].end |
16983.46971875 |
transcript.pyannote[1533].speaker |
SPEAKER_25 |
transcript.pyannote[1533].start |
16987.16534375 |
transcript.pyannote[1533].end |
16987.18221875 |
transcript.pyannote[1534].speaker |
SPEAKER_22 |
transcript.pyannote[1534].start |
16987.18221875 |
transcript.pyannote[1534].end |
16987.19909375 |
transcript.pyannote[1535].speaker |
SPEAKER_25 |
transcript.pyannote[1535].start |
16987.19909375 |
transcript.pyannote[1535].end |
16987.35096875 |
transcript.pyannote[1536].speaker |
SPEAKER_22 |
transcript.pyannote[1536].start |
16987.35096875 |
transcript.pyannote[1536].end |
16987.50284375 |
transcript.pyannote[1537].speaker |
SPEAKER_25 |
transcript.pyannote[1537].start |
16987.50284375 |
transcript.pyannote[1537].end |
16988.02596875 |
transcript.pyannote[1538].speaker |
SPEAKER_25 |
transcript.pyannote[1538].start |
16990.48971875 |
transcript.pyannote[1538].end |
16994.96159375 |
transcript.pyannote[1539].speaker |
SPEAKER_25 |
transcript.pyannote[1539].start |
16995.31596875 |
transcript.pyannote[1539].end |
16998.55596875 |
transcript.pyannote[1540].speaker |
SPEAKER_25 |
transcript.pyannote[1540].start |
16998.67409375 |
transcript.pyannote[1540].end |
17001.17159375 |
transcript.pyannote[1541].speaker |
SPEAKER_25 |
transcript.pyannote[1541].start |
17001.82971875 |
transcript.pyannote[1541].end |
17037.28409375 |
transcript.pyannote[1542].speaker |
SPEAKER_25 |
transcript.pyannote[1542].start |
17037.84096875 |
transcript.pyannote[1542].end |
17039.35971875 |
transcript.pyannote[1543].speaker |
SPEAKER_25 |
transcript.pyannote[1543].start |
17042.98784375 |
transcript.pyannote[1543].end |
17044.42221875 |
transcript.pyannote[1544].speaker |
SPEAKER_25 |
transcript.pyannote[1544].start |
17045.28284375 |
transcript.pyannote[1544].end |
17045.92409375 |
transcript.pyannote[1545].speaker |
SPEAKER_25 |
transcript.pyannote[1545].start |
17050.41284375 |
transcript.pyannote[1545].end |
17052.74159375 |
transcript.pyannote[1546].speaker |
SPEAKER_25 |
transcript.pyannote[1546].start |
17053.41659375 |
transcript.pyannote[1546].end |
17063.92971875 |
transcript.pyannote[1547].speaker |
SPEAKER_17 |
transcript.pyannote[1547].start |
17063.92971875 |
transcript.pyannote[1547].end |
17066.37659375 |
transcript.pyannote[1548].speaker |
SPEAKER_25 |
transcript.pyannote[1548].start |
17063.98034375 |
transcript.pyannote[1548].end |
17065.95471875 |
transcript.pyannote[1549].speaker |
SPEAKER_17 |
transcript.pyannote[1549].start |
17066.68034375 |
transcript.pyannote[1549].end |
17067.72659375 |
transcript.pyannote[1550].speaker |
SPEAKER_17 |
transcript.pyannote[1550].start |
17068.13159375 |
transcript.pyannote[1550].end |
17069.16096875 |
transcript.pyannote[1551].speaker |
SPEAKER_08 |
transcript.pyannote[1551].start |
17073.21096875 |
transcript.pyannote[1551].end |
17087.52096875 |
transcript.pyannote[1552].speaker |
SPEAKER_22 |
transcript.pyannote[1552].start |
17088.34784375 |
transcript.pyannote[1552].end |
17088.71909375 |
transcript.pyannote[1553].speaker |
SPEAKER_08 |
transcript.pyannote[1553].start |
17088.71909375 |
transcript.pyannote[1553].end |
17088.76971875 |
transcript.pyannote[1554].speaker |
SPEAKER_22 |
transcript.pyannote[1554].start |
17088.76971875 |
transcript.pyannote[1554].end |
17088.82034375 |
transcript.pyannote[1555].speaker |
SPEAKER_08 |
transcript.pyannote[1555].start |
17088.82034375 |
transcript.pyannote[1555].end |
17092.48221875 |
transcript.pyannote[1556].speaker |
SPEAKER_22 |
transcript.pyannote[1556].start |
17089.00596875 |
transcript.pyannote[1556].end |
17089.74846875 |
transcript.pyannote[1557].speaker |
SPEAKER_22 |
transcript.pyannote[1557].start |
17092.97159375 |
transcript.pyannote[1557].end |
17094.52409375 |
transcript.pyannote[1558].speaker |
SPEAKER_08 |
transcript.pyannote[1558].start |
17094.52409375 |
transcript.pyannote[1558].end |
17094.54096875 |
transcript.pyannote[1559].speaker |
SPEAKER_08 |
transcript.pyannote[1559].start |
17094.77721875 |
transcript.pyannote[1559].end |
17096.34659375 |
transcript.pyannote[1560].speaker |
SPEAKER_22 |
transcript.pyannote[1560].start |
17096.46471875 |
transcript.pyannote[1560].end |
17096.48159375 |
transcript.pyannote[1561].speaker |
SPEAKER_15 |
transcript.pyannote[1561].start |
17096.48159375 |
transcript.pyannote[1561].end |
17101.37534375 |
transcript.pyannote[1562].speaker |
SPEAKER_22 |
transcript.pyannote[1562].start |
17098.64159375 |
transcript.pyannote[1562].end |
17098.70909375 |
transcript.pyannote[1563].speaker |
SPEAKER_22 |
transcript.pyannote[1563].start |
17098.75971875 |
transcript.pyannote[1563].end |
17098.77659375 |
transcript.pyannote[1564].speaker |
SPEAKER_08 |
transcript.pyannote[1564].start |
17099.80596875 |
transcript.pyannote[1564].end |
17102.64096875 |
transcript.pyannote[1565].speaker |
SPEAKER_19 |
transcript.pyannote[1565].start |
17101.37534375 |
transcript.pyannote[1565].end |
17101.47659375 |
transcript.pyannote[1566].speaker |
SPEAKER_15 |
transcript.pyannote[1566].start |
17101.47659375 |
transcript.pyannote[1566].end |
17101.59471875 |
transcript.pyannote[1567].speaker |
SPEAKER_19 |
transcript.pyannote[1567].start |
17101.59471875 |
transcript.pyannote[1567].end |
17101.93221875 |
transcript.pyannote[1568].speaker |
SPEAKER_15 |
transcript.pyannote[1568].start |
17101.93221875 |
transcript.pyannote[1568].end |
17102.38784375 |
transcript.pyannote[1569].speaker |
SPEAKER_17 |
transcript.pyannote[1569].start |
17102.38784375 |
transcript.pyannote[1569].end |
17102.47221875 |
transcript.pyannote[1570].speaker |
SPEAKER_15 |
transcript.pyannote[1570].start |
17102.47221875 |
transcript.pyannote[1570].end |
17102.57346875 |
transcript.pyannote[1571].speaker |
SPEAKER_17 |
transcript.pyannote[1571].start |
17102.57346875 |
transcript.pyannote[1571].end |
17102.70846875 |
transcript.pyannote[1572].speaker |
SPEAKER_15 |
transcript.pyannote[1572].start |
17102.64096875 |
transcript.pyannote[1572].end |
17102.65784375 |
transcript.pyannote[1573].speaker |
SPEAKER_19 |
transcript.pyannote[1573].start |
17102.65784375 |
transcript.pyannote[1573].end |
17102.84346875 |
transcript.pyannote[1574].speaker |
SPEAKER_15 |
transcript.pyannote[1574].start |
17102.70846875 |
transcript.pyannote[1574].end |
17102.72534375 |
transcript.pyannote[1575].speaker |
SPEAKER_15 |
transcript.pyannote[1575].start |
17102.84346875 |
transcript.pyannote[1575].end |
17102.97846875 |
transcript.pyannote[1576].speaker |
SPEAKER_19 |
transcript.pyannote[1576].start |
17102.97846875 |
transcript.pyannote[1576].end |
17103.06284375 |
transcript.pyannote[1577].speaker |
SPEAKER_15 |
transcript.pyannote[1577].start |
17103.06284375 |
transcript.pyannote[1577].end |
17103.38346875 |
transcript.pyannote[1578].speaker |
SPEAKER_15 |
transcript.pyannote[1578].start |
17103.41721875 |
transcript.pyannote[1578].end |
17103.48471875 |
transcript.pyannote[1579].speaker |
SPEAKER_15 |
transcript.pyannote[1579].start |
17103.61971875 |
transcript.pyannote[1579].end |
17103.80534375 |
transcript.pyannote[1580].speaker |
SPEAKER_19 |
transcript.pyannote[1580].start |
17103.80534375 |
transcript.pyannote[1580].end |
17103.94034375 |
transcript.pyannote[1581].speaker |
SPEAKER_15 |
transcript.pyannote[1581].start |
17103.94034375 |
transcript.pyannote[1581].end |
17104.07534375 |
transcript.pyannote[1582].speaker |
SPEAKER_17 |
transcript.pyannote[1582].start |
17104.78409375 |
transcript.pyannote[1582].end |
17106.03284375 |
transcript.pyannote[1583].speaker |
SPEAKER_08 |
transcript.pyannote[1583].start |
17106.03284375 |
transcript.pyannote[1583].end |
17109.35721875 |
transcript.pyannote[1584].speaker |
SPEAKER_17 |
transcript.pyannote[1584].start |
17107.92284375 |
transcript.pyannote[1584].end |
17108.26034375 |
transcript.pyannote[1585].speaker |
SPEAKER_17 |
transcript.pyannote[1585].start |
17109.42471875 |
transcript.pyannote[1585].end |
17110.57221875 |
transcript.pyannote[1586].speaker |
SPEAKER_08 |
transcript.pyannote[1586].start |
17110.58909375 |
transcript.pyannote[1586].end |
17113.44096875 |
transcript.pyannote[1587].speaker |
SPEAKER_17 |
transcript.pyannote[1587].start |
17113.76159375 |
transcript.pyannote[1587].end |
17116.74846875 |
transcript.pyannote[1588].speaker |
SPEAKER_08 |
transcript.pyannote[1588].start |
17115.63471875 |
transcript.pyannote[1588].end |
17116.20846875 |
transcript.pyannote[1589].speaker |
SPEAKER_08 |
transcript.pyannote[1589].start |
17116.56284375 |
transcript.pyannote[1589].end |
17116.63034375 |
transcript.pyannote[1590].speaker |
SPEAKER_08 |
transcript.pyannote[1590].start |
17116.74846875 |
transcript.pyannote[1590].end |
17119.73534375 |
transcript.pyannote[1591].speaker |
SPEAKER_22 |
transcript.pyannote[1591].start |
17120.44409375 |
transcript.pyannote[1591].end |
17120.51159375 |
transcript.pyannote[1592].speaker |
SPEAKER_08 |
transcript.pyannote[1592].start |
17120.51159375 |
transcript.pyannote[1592].end |
17122.33409375 |
transcript.pyannote[1593].speaker |
SPEAKER_19 |
transcript.pyannote[1593].start |
17120.57909375 |
transcript.pyannote[1593].end |
17123.24534375 |
transcript.pyannote[1594].speaker |
SPEAKER_08 |
transcript.pyannote[1594].start |
17122.99221875 |
transcript.pyannote[1594].end |
17197.10721875 |
transcript.pyannote[1595].speaker |
SPEAKER_08 |
transcript.pyannote[1595].start |
17197.88346875 |
transcript.pyannote[1595].end |
17198.35596875 |
transcript.pyannote[1596].speaker |
SPEAKER_08 |
transcript.pyannote[1596].start |
17199.14909375 |
transcript.pyannote[1596].end |
17200.02659375 |
transcript.pyannote[1597].speaker |
SPEAKER_17 |
transcript.pyannote[1597].start |
17200.02659375 |
transcript.pyannote[1597].end |
17200.22909375 |
transcript.pyannote[1598].speaker |
SPEAKER_08 |
transcript.pyannote[1598].start |
17200.22909375 |
transcript.pyannote[1598].end |
17200.24596875 |
transcript.pyannote[1599].speaker |
SPEAKER_07 |
transcript.pyannote[1599].start |
17204.31284375 |
transcript.pyannote[1599].end |
17228.03909375 |
transcript.pyannote[1600].speaker |
SPEAKER_07 |
transcript.pyannote[1600].start |
17228.24159375 |
transcript.pyannote[1600].end |
17230.43534375 |
transcript.pyannote[1601].speaker |
SPEAKER_07 |
transcript.pyannote[1601].start |
17230.48596875 |
transcript.pyannote[1601].end |
17234.83971875 |
transcript.pyannote[1602].speaker |
SPEAKER_07 |
transcript.pyannote[1602].start |
17235.05909375 |
transcript.pyannote[1602].end |
17243.14221875 |
transcript.pyannote[1603].speaker |
SPEAKER_17 |
transcript.pyannote[1603].start |
17242.87221875 |
transcript.pyannote[1603].end |
17243.69909375 |
transcript.pyannote[1604].speaker |
SPEAKER_17 |
transcript.pyannote[1604].start |
17243.96909375 |
transcript.pyannote[1604].end |
17245.23471875 |
transcript.pyannote[1605].speaker |
SPEAKER_17 |
transcript.pyannote[1605].start |
17246.46659375 |
transcript.pyannote[1605].end |
17247.68159375 |
transcript.pyannote[1606].speaker |
SPEAKER_22 |
transcript.pyannote[1606].start |
17249.50409375 |
transcript.pyannote[1606].end |
17249.85846875 |
transcript.pyannote[1607].speaker |
SPEAKER_22 |
transcript.pyannote[1607].start |
17250.63471875 |
transcript.pyannote[1607].end |
17262.26159375 |
transcript.pyannote[1608].speaker |
SPEAKER_22 |
transcript.pyannote[1608].start |
17262.56534375 |
transcript.pyannote[1608].end |
17263.93221875 |
transcript.pyannote[1609].speaker |
SPEAKER_22 |
transcript.pyannote[1609].start |
17264.15159375 |
transcript.pyannote[1609].end |
17267.49284375 |
transcript.pyannote[1610].speaker |
SPEAKER_22 |
transcript.pyannote[1610].start |
17267.79659375 |
transcript.pyannote[1610].end |
17270.46284375 |
transcript.pyannote[1611].speaker |
SPEAKER_22 |
transcript.pyannote[1611].start |
17270.66534375 |
transcript.pyannote[1611].end |
17311.70534375 |
transcript.pyannote[1612].speaker |
SPEAKER_22 |
transcript.pyannote[1612].start |
17312.29596875 |
transcript.pyannote[1612].end |
17320.64909375 |
transcript.pyannote[1613].speaker |
SPEAKER_22 |
transcript.pyannote[1613].start |
17321.08784375 |
transcript.pyannote[1613].end |
17321.83034375 |
transcript.pyannote[1614].speaker |
SPEAKER_22 |
transcript.pyannote[1614].start |
17322.82596875 |
transcript.pyannote[1614].end |
17343.16034375 |
transcript.pyannote[1615].speaker |
SPEAKER_14 |
transcript.pyannote[1615].start |
17344.13909375 |
transcript.pyannote[1615].end |
17344.64534375 |
transcript.pyannote[1616].speaker |
SPEAKER_14 |
transcript.pyannote[1616].start |
17345.97846875 |
transcript.pyannote[1616].end |
17346.63659375 |
transcript.pyannote[1617].speaker |
SPEAKER_14 |
transcript.pyannote[1617].start |
17347.54784375 |
transcript.pyannote[1617].end |
17348.57721875 |
transcript.pyannote[1618].speaker |
SPEAKER_22 |
transcript.pyannote[1618].start |
17348.66159375 |
transcript.pyannote[1618].end |
17354.23034375 |
transcript.pyannote[1619].speaker |
SPEAKER_22 |
transcript.pyannote[1619].start |
17354.83784375 |
transcript.pyannote[1619].end |
17355.78284375 |
transcript.pyannote[1620].speaker |
SPEAKER_22 |
transcript.pyannote[1620].start |
17359.86659375 |
transcript.pyannote[1620].end |
17360.32221875 |
transcript.pyannote[1621].speaker |
SPEAKER_22 |
transcript.pyannote[1621].start |
17360.37284375 |
transcript.pyannote[1621].end |
17361.60471875 |
transcript.pyannote[1622].speaker |
SPEAKER_22 |
transcript.pyannote[1622].start |
17363.15721875 |
transcript.pyannote[1622].end |
17364.20346875 |
transcript.pyannote[1623].speaker |
SPEAKER_17 |
transcript.pyannote[1623].start |
17364.20346875 |
transcript.pyannote[1623].end |
17364.22034375 |
transcript.pyannote[1624].speaker |
SPEAKER_22 |
transcript.pyannote[1624].start |
17365.38471875 |
transcript.pyannote[1624].end |
17365.97534375 |
transcript.pyannote[1625].speaker |
SPEAKER_17 |
transcript.pyannote[1625].start |
17365.97534375 |
transcript.pyannote[1625].end |
17366.73471875 |
transcript.pyannote[1626].speaker |
SPEAKER_17 |
transcript.pyannote[1626].start |
17367.37596875 |
transcript.pyannote[1626].end |
17368.59096875 |
transcript.pyannote[1627].speaker |
SPEAKER_17 |
transcript.pyannote[1627].start |
17369.21534375 |
transcript.pyannote[1627].end |
17374.71659375 |
transcript.pyannote[1628].speaker |
SPEAKER_15 |
transcript.pyannote[1628].start |
17376.26909375 |
transcript.pyannote[1628].end |
17376.28596875 |
transcript.pyannote[1629].speaker |
SPEAKER_17 |
transcript.pyannote[1629].start |
17376.28596875 |
transcript.pyannote[1629].end |
17381.50034375 |
transcript.pyannote[1630].speaker |
SPEAKER_15 |
transcript.pyannote[1630].start |
17377.16346875 |
transcript.pyannote[1630].end |
17377.90596875 |
transcript.pyannote[1631].speaker |
SPEAKER_15 |
transcript.pyannote[1631].start |
17380.63971875 |
transcript.pyannote[1631].end |
17386.73159375 |
transcript.pyannote[1632].speaker |
SPEAKER_17 |
transcript.pyannote[1632].start |
17387.06909375 |
transcript.pyannote[1632].end |
17387.98034375 |
transcript.pyannote[1633].speaker |
SPEAKER_17 |
transcript.pyannote[1633].start |
17391.86159375 |
transcript.pyannote[1633].end |
17391.91221875 |
transcript.pyannote[1634].speaker |
SPEAKER_08 |
transcript.pyannote[1634].start |
17391.91221875 |
transcript.pyannote[1634].end |
17391.92909375 |
transcript.pyannote[1635].speaker |
SPEAKER_17 |
transcript.pyannote[1635].start |
17391.92909375 |
transcript.pyannote[1635].end |
17392.28346875 |
transcript.pyannote[1636].speaker |
SPEAKER_08 |
transcript.pyannote[1636].start |
17392.28346875 |
transcript.pyannote[1636].end |
17392.72221875 |
transcript.pyannote[1637].speaker |
SPEAKER_17 |
transcript.pyannote[1637].start |
17392.72221875 |
transcript.pyannote[1637].end |
17392.89096875 |
transcript.pyannote[1638].speaker |
SPEAKER_08 |
transcript.pyannote[1638].start |
17392.89096875 |
transcript.pyannote[1638].end |
17401.88534375 |
transcript.pyannote[1639].speaker |
SPEAKER_08 |
transcript.pyannote[1639].start |
17402.17221875 |
transcript.pyannote[1639].end |
17407.60596875 |
transcript.pyannote[1640].speaker |
SPEAKER_00 |
transcript.pyannote[1640].start |
17406.44159375 |
transcript.pyannote[1640].end |
17406.49221875 |
transcript.pyannote[1641].speaker |
SPEAKER_07 |
transcript.pyannote[1641].start |
17406.49221875 |
transcript.pyannote[1641].end |
17407.08284375 |
transcript.pyannote[1642].speaker |
SPEAKER_00 |
transcript.pyannote[1642].start |
17407.08284375 |
transcript.pyannote[1642].end |
17407.13346875 |
transcript.pyannote[1643].speaker |
SPEAKER_08 |
transcript.pyannote[1643].start |
17407.96034375 |
transcript.pyannote[1643].end |
17413.17471875 |
transcript.pyannote[1644].speaker |
SPEAKER_17 |
transcript.pyannote[1644].start |
17414.55846875 |
transcript.pyannote[1644].end |
17417.02221875 |
transcript.pyannote[1645].speaker |
SPEAKER_22 |
transcript.pyannote[1645].start |
17417.29221875 |
transcript.pyannote[1645].end |
17418.33846875 |
transcript.pyannote[1646].speaker |
SPEAKER_17 |
transcript.pyannote[1646].start |
17419.18221875 |
transcript.pyannote[1646].end |
17423.80596875 |
transcript.pyannote[1647].speaker |
SPEAKER_08 |
transcript.pyannote[1647].start |
17423.53596875 |
transcript.pyannote[1647].end |
17423.60346875 |
transcript.pyannote[1648].speaker |
SPEAKER_08 |
transcript.pyannote[1648].start |
17424.58221875 |
transcript.pyannote[1648].end |
17430.38721875 |
transcript.pyannote[1649].speaker |
SPEAKER_22 |
transcript.pyannote[1649].start |
17430.38721875 |
transcript.pyannote[1649].end |
17433.42471875 |
transcript.pyannote[1650].speaker |
SPEAKER_08 |
transcript.pyannote[1650].start |
17431.56846875 |
transcript.pyannote[1650].end |
17432.44596875 |
transcript.pyannote[1651].speaker |
SPEAKER_08 |
transcript.pyannote[1651].start |
17434.08284375 |
transcript.pyannote[1651].end |
17442.26721875 |
transcript.pyannote[1652].speaker |
SPEAKER_08 |
transcript.pyannote[1652].start |
17442.62159375 |
transcript.pyannote[1652].end |
17450.29971875 |
transcript.pyannote[1653].speaker |
SPEAKER_08 |
transcript.pyannote[1653].start |
17450.48534375 |
transcript.pyannote[1653].end |
17462.12909375 |
transcript.pyannote[1654].speaker |
SPEAKER_19 |
transcript.pyannote[1654].start |
17462.53409375 |
transcript.pyannote[1654].end |
17462.68596875 |
transcript.pyannote[1655].speaker |
SPEAKER_19 |
transcript.pyannote[1655].start |
17462.97284375 |
transcript.pyannote[1655].end |
17463.02346875 |
transcript.pyannote[1656].speaker |
SPEAKER_19 |
transcript.pyannote[1656].start |
17463.96846875 |
transcript.pyannote[1656].end |
17464.03596875 |
transcript.pyannote[1657].speaker |
SPEAKER_19 |
transcript.pyannote[1657].start |
17464.66034375 |
transcript.pyannote[1657].end |
17465.52096875 |
transcript.pyannote[1658].speaker |
SPEAKER_25 |
transcript.pyannote[1658].start |
17468.11971875 |
transcript.pyannote[1658].end |
17468.82846875 |
transcript.pyannote[1659].speaker |
SPEAKER_25 |
transcript.pyannote[1659].start |
17470.51596875 |
transcript.pyannote[1659].end |
17473.50284375 |
transcript.pyannote[1660].speaker |
SPEAKER_25 |
transcript.pyannote[1660].start |
17474.26221875 |
transcript.pyannote[1660].end |
17481.85596875 |
transcript.pyannote[1661].speaker |
SPEAKER_25 |
transcript.pyannote[1661].start |
17481.99096875 |
transcript.pyannote[1661].end |
17484.79221875 |
transcript.pyannote[1662].speaker |
SPEAKER_25 |
transcript.pyannote[1662].start |
17485.95659375 |
transcript.pyannote[1662].end |
17491.69409375 |
transcript.pyannote[1663].speaker |
SPEAKER_25 |
transcript.pyannote[1663].start |
17493.36471875 |
transcript.pyannote[1663].end |
17498.15721875 |
transcript.pyannote[1664].speaker |
SPEAKER_25 |
transcript.pyannote[1664].start |
17498.46096875 |
transcript.pyannote[1664].end |
17500.06409375 |
transcript.pyannote[1665].speaker |
SPEAKER_25 |
transcript.pyannote[1665].start |
17500.50284375 |
transcript.pyannote[1665].end |
17504.92409375 |
transcript.pyannote[1666].speaker |
SPEAKER_25 |
transcript.pyannote[1666].start |
17505.75096875 |
transcript.pyannote[1666].end |
17526.08534375 |
transcript.pyannote[1667].speaker |
SPEAKER_25 |
transcript.pyannote[1667].start |
17526.42284375 |
transcript.pyannote[1667].end |
17529.07221875 |
transcript.pyannote[1668].speaker |
SPEAKER_25 |
transcript.pyannote[1668].start |
17529.52784375 |
transcript.pyannote[1668].end |
17529.88221875 |
transcript.pyannote[1669].speaker |
SPEAKER_25 |
transcript.pyannote[1669].start |
17531.04659375 |
transcript.pyannote[1669].end |
17564.40846875 |
transcript.pyannote[1670].speaker |
SPEAKER_25 |
transcript.pyannote[1670].start |
17564.81346875 |
transcript.pyannote[1670].end |
17568.23909375 |
transcript.pyannote[1671].speaker |
SPEAKER_25 |
transcript.pyannote[1671].start |
17568.74534375 |
transcript.pyannote[1671].end |
17571.24284375 |
transcript.pyannote[1672].speaker |
SPEAKER_25 |
transcript.pyannote[1672].start |
17571.85034375 |
transcript.pyannote[1672].end |
17578.51596875 |
transcript.pyannote[1673].speaker |
SPEAKER_25 |
transcript.pyannote[1673].start |
17578.58346875 |
transcript.pyannote[1673].end |
17584.69221875 |
transcript.pyannote[1674].speaker |
SPEAKER_25 |
transcript.pyannote[1674].start |
17584.94534375 |
transcript.pyannote[1674].end |
17586.09284375 |
transcript.pyannote[1675].speaker |
SPEAKER_25 |
transcript.pyannote[1675].start |
17586.16034375 |
transcript.pyannote[1675].end |
17588.38784375 |
transcript.pyannote[1676].speaker |
SPEAKER_25 |
transcript.pyannote[1676].start |
17588.53971875 |
transcript.pyannote[1676].end |
17588.60721875 |
transcript.pyannote[1677].speaker |
SPEAKER_25 |
transcript.pyannote[1677].start |
17588.64096875 |
transcript.pyannote[1677].end |
17594.10846875 |
transcript.pyannote[1678].speaker |
SPEAKER_25 |
transcript.pyannote[1678].start |
17594.12534375 |
transcript.pyannote[1678].end |
17595.74534375 |
transcript.pyannote[1679].speaker |
SPEAKER_25 |
transcript.pyannote[1679].start |
17596.25159375 |
transcript.pyannote[1679].end |
17603.20409375 |
transcript.pyannote[1680].speaker |
SPEAKER_25 |
transcript.pyannote[1680].start |
17606.41034375 |
transcript.pyannote[1680].end |
17606.96721875 |
transcript.pyannote[1681].speaker |
SPEAKER_14 |
transcript.pyannote[1681].start |
17606.96721875 |
transcript.pyannote[1681].end |
17607.22034375 |
transcript.pyannote[1682].speaker |
SPEAKER_14 |
transcript.pyannote[1682].start |
17610.47721875 |
transcript.pyannote[1682].end |
17613.70034375 |
transcript.pyannote[1683].speaker |
SPEAKER_14 |
transcript.pyannote[1683].start |
17613.98721875 |
transcript.pyannote[1683].end |
17615.79284375 |
transcript.pyannote[1684].speaker |
SPEAKER_14 |
transcript.pyannote[1684].start |
17616.19784375 |
transcript.pyannote[1684].end |
17621.10846875 |
transcript.pyannote[1685].speaker |
SPEAKER_14 |
transcript.pyannote[1685].start |
17621.71596875 |
transcript.pyannote[1685].end |
17631.06471875 |
transcript.pyannote[1686].speaker |
SPEAKER_14 |
transcript.pyannote[1686].start |
17631.79034375 |
transcript.pyannote[1686].end |
17633.66346875 |
transcript.pyannote[1687].speaker |
SPEAKER_14 |
transcript.pyannote[1687].start |
17633.88284375 |
transcript.pyannote[1687].end |
17636.78534375 |
transcript.pyannote[1688].speaker |
SPEAKER_14 |
transcript.pyannote[1688].start |
17637.05534375 |
transcript.pyannote[1688].end |
17639.55284375 |
transcript.pyannote[1689].speaker |
SPEAKER_14 |
transcript.pyannote[1689].start |
17640.37971875 |
transcript.pyannote[1689].end |
17641.35846875 |
transcript.pyannote[1690].speaker |
SPEAKER_14 |
transcript.pyannote[1690].start |
17641.93221875 |
transcript.pyannote[1690].end |
17643.19784375 |
transcript.pyannote[1691].speaker |
SPEAKER_14 |
transcript.pyannote[1691].start |
17643.94034375 |
transcript.pyannote[1691].end |
17648.78346875 |
transcript.pyannote[1692].speaker |
SPEAKER_14 |
transcript.pyannote[1692].start |
17649.25596875 |
transcript.pyannote[1692].end |
17672.64471875 |
transcript.pyannote[1693].speaker |
SPEAKER_14 |
transcript.pyannote[1693].start |
17673.11721875 |
transcript.pyannote[1693].end |
17690.17784375 |
transcript.pyannote[1694].speaker |
SPEAKER_14 |
transcript.pyannote[1694].start |
17691.12284375 |
transcript.pyannote[1694].end |
17691.13971875 |
transcript.pyannote[1695].speaker |
SPEAKER_14 |
transcript.pyannote[1695].start |
17691.25784375 |
transcript.pyannote[1695].end |
17701.53471875 |
transcript.pyannote[1696].speaker |
SPEAKER_14 |
transcript.pyannote[1696].start |
17702.05784375 |
transcript.pyannote[1696].end |
17716.62096875 |
transcript.pyannote[1697].speaker |
SPEAKER_17 |
transcript.pyannote[1697].start |
17719.00034375 |
transcript.pyannote[1697].end |
17720.16471875 |
transcript.pyannote[1698].speaker |
SPEAKER_22 |
transcript.pyannote[1698].start |
17720.16471875 |
transcript.pyannote[1698].end |
17720.26596875 |
transcript.pyannote[1699].speaker |
SPEAKER_17 |
transcript.pyannote[1699].start |
17720.72159375 |
transcript.pyannote[1699].end |
17721.02534375 |
transcript.pyannote[1700].speaker |
SPEAKER_22 |
transcript.pyannote[1700].start |
17721.02534375 |
transcript.pyannote[1700].end |
17722.10534375 |
transcript.pyannote[1701].speaker |
SPEAKER_17 |
transcript.pyannote[1701].start |
17722.54409375 |
transcript.pyannote[1701].end |
17722.57784375 |
transcript.pyannote[1702].speaker |
SPEAKER_22 |
transcript.pyannote[1702].start |
17722.57784375 |
transcript.pyannote[1702].end |
17773.97909375 |
transcript.pyannote[1703].speaker |
SPEAKER_22 |
transcript.pyannote[1703].start |
17774.46846875 |
transcript.pyannote[1703].end |
17777.72534375 |
transcript.pyannote[1704].speaker |
SPEAKER_22 |
transcript.pyannote[1704].start |
17778.14721875 |
transcript.pyannote[1704].end |
17781.97784375 |
transcript.pyannote[1705].speaker |
SPEAKER_14 |
transcript.pyannote[1705].start |
17781.97784375 |
transcript.pyannote[1705].end |
17790.87096875 |
transcript.pyannote[1706].speaker |
SPEAKER_22 |
transcript.pyannote[1706].start |
17788.10346875 |
transcript.pyannote[1706].end |
17789.77409375 |
transcript.pyannote[1707].speaker |
SPEAKER_22 |
transcript.pyannote[1707].start |
17790.51659375 |
transcript.pyannote[1707].end |
17793.63846875 |
transcript.pyannote[1708].speaker |
SPEAKER_14 |
transcript.pyannote[1708].start |
17793.23346875 |
transcript.pyannote[1708].end |
17793.35159375 |
transcript.pyannote[1709].speaker |
SPEAKER_22 |
transcript.pyannote[1709].start |
17794.14471875 |
transcript.pyannote[1709].end |
17794.44846875 |
transcript.pyannote[1710].speaker |
SPEAKER_22 |
transcript.pyannote[1710].start |
17795.10659375 |
transcript.pyannote[1710].end |
17796.54096875 |
transcript.pyannote[1711].speaker |
SPEAKER_14 |
transcript.pyannote[1711].start |
17796.54096875 |
transcript.pyannote[1711].end |
17803.13909375 |
transcript.pyannote[1712].speaker |
SPEAKER_22 |
transcript.pyannote[1712].start |
17796.96284375 |
transcript.pyannote[1712].end |
17797.01346875 |
transcript.pyannote[1713].speaker |
SPEAKER_22 |
transcript.pyannote[1713].start |
17797.03034375 |
transcript.pyannote[1713].end |
17798.38034375 |
transcript.pyannote[1714].speaker |
SPEAKER_22 |
transcript.pyannote[1714].start |
17799.10596875 |
transcript.pyannote[1714].end |
17800.86096875 |
transcript.pyannote[1715].speaker |
SPEAKER_22 |
transcript.pyannote[1715].start |
17801.26596875 |
transcript.pyannote[1715].end |
17802.31221875 |
transcript.pyannote[1716].speaker |
SPEAKER_14 |
transcript.pyannote[1716].start |
17803.49346875 |
transcript.pyannote[1716].end |
17810.69909375 |
transcript.pyannote[1717].speaker |
SPEAKER_22 |
transcript.pyannote[1717].start |
17805.51846875 |
transcript.pyannote[1717].end |
17806.64909375 |
transcript.pyannote[1718].speaker |
SPEAKER_22 |
transcript.pyannote[1718].start |
17806.76721875 |
transcript.pyannote[1718].end |
17806.91909375 |
transcript.pyannote[1719].speaker |
SPEAKER_22 |
transcript.pyannote[1719].start |
17808.25221875 |
transcript.pyannote[1719].end |
17808.85971875 |
transcript.pyannote[1720].speaker |
SPEAKER_14 |
transcript.pyannote[1720].start |
17811.28971875 |
transcript.pyannote[1720].end |
17815.59284375 |
transcript.pyannote[1721].speaker |
SPEAKER_22 |
transcript.pyannote[1721].start |
17812.82534375 |
transcript.pyannote[1721].end |
17814.02346875 |
transcript.pyannote[1722].speaker |
SPEAKER_17 |
transcript.pyannote[1722].start |
17814.02346875 |
transcript.pyannote[1722].end |
17815.18784375 |
transcript.pyannote[1723].speaker |
SPEAKER_17 |
transcript.pyannote[1723].start |
17817.65159375 |
transcript.pyannote[1723].end |
17817.90471875 |
transcript.pyannote[1724].speaker |
SPEAKER_17 |
transcript.pyannote[1724].start |
17818.52909375 |
transcript.pyannote[1724].end |
17821.06034375 |
transcript.pyannote[1725].speaker |
SPEAKER_17 |
transcript.pyannote[1725].start |
17821.48221875 |
transcript.pyannote[1725].end |
17822.96721875 |
transcript.pyannote[1726].speaker |
SPEAKER_17 |
transcript.pyannote[1726].start |
17823.55784375 |
transcript.pyannote[1726].end |
17824.19909375 |
transcript.pyannote[1727].speaker |
SPEAKER_17 |
transcript.pyannote[1727].start |
17825.75159375 |
transcript.pyannote[1727].end |
17828.26596875 |
transcript.pyannote[1728].speaker |
SPEAKER_17 |
transcript.pyannote[1728].start |
17828.40096875 |
transcript.pyannote[1728].end |
17829.37971875 |
transcript.pyannote[1729].speaker |
SPEAKER_19 |
transcript.pyannote[1729].start |
17854.43909375 |
transcript.pyannote[1729].end |
17854.87784375 |
transcript.pyannote[1730].speaker |
SPEAKER_19 |
transcript.pyannote[1730].start |
18127.00409375 |
transcript.pyannote[1730].end |
18127.17284375 |
transcript.pyannote[1731].speaker |
SPEAKER_19 |
transcript.pyannote[1731].start |
18127.45971875 |
transcript.pyannote[1731].end |
18128.10096875 |
transcript.pyannote[1732].speaker |
SPEAKER_11 |
transcript.pyannote[1732].start |
18128.10096875 |
transcript.pyannote[1732].end |
18128.67471875 |
transcript.pyannote[1733].speaker |
SPEAKER_11 |
transcript.pyannote[1733].start |
18129.21471875 |
transcript.pyannote[1733].end |
18130.32846875 |
transcript.pyannote[1734].speaker |
SPEAKER_11 |
transcript.pyannote[1734].start |
18130.75034375 |
transcript.pyannote[1734].end |
18134.78346875 |
transcript.pyannote[1735].speaker |
SPEAKER_17 |
transcript.pyannote[1735].start |
18135.57659375 |
transcript.pyannote[1735].end |
18135.86346875 |
transcript.pyannote[1736].speaker |
SPEAKER_17 |
transcript.pyannote[1736].start |
18139.23846875 |
transcript.pyannote[1736].end |
18139.67721875 |
transcript.pyannote[1737].speaker |
SPEAKER_17 |
transcript.pyannote[1737].start |
18141.56721875 |
transcript.pyannote[1737].end |
18153.36284375 |
transcript.pyannote[1738].speaker |
SPEAKER_17 |
transcript.pyannote[1738].start |
18154.30784375 |
transcript.pyannote[1738].end |
18155.55659375 |
transcript.pyannote[1739].speaker |
SPEAKER_17 |
transcript.pyannote[1739].start |
18163.50471875 |
transcript.pyannote[1739].end |
18164.78721875 |
transcript.pyannote[1740].speaker |
SPEAKER_17 |
transcript.pyannote[1740].start |
18165.39471875 |
transcript.pyannote[1740].end |
18167.43659375 |
transcript.pyannote[1741].speaker |
SPEAKER_17 |
transcript.pyannote[1741].start |
18167.65596875 |
transcript.pyannote[1741].end |
18175.73909375 |
transcript.pyannote[1742].speaker |
SPEAKER_21 |
transcript.pyannote[1742].start |
18177.73034375 |
transcript.pyannote[1742].end |
18177.94971875 |
transcript.pyannote[1743].speaker |
SPEAKER_21 |
transcript.pyannote[1743].start |
18179.06346875 |
transcript.pyannote[1743].end |
18180.58221875 |
transcript.pyannote[1744].speaker |
SPEAKER_17 |
transcript.pyannote[1744].start |
18180.66659375 |
transcript.pyannote[1744].end |
18182.69159375 |
transcript.pyannote[1745].speaker |
SPEAKER_17 |
transcript.pyannote[1745].start |
18184.63221875 |
transcript.pyannote[1745].end |
18186.97784375 |
transcript.pyannote[1746].speaker |
SPEAKER_17 |
transcript.pyannote[1746].start |
18188.71596875 |
transcript.pyannote[1746].end |
18189.03659375 |
transcript.pyannote[1747].speaker |
SPEAKER_22 |
transcript.pyannote[1747].start |
18189.03659375 |
transcript.pyannote[1747].end |
18189.13784375 |
transcript.pyannote[1748].speaker |
SPEAKER_17 |
transcript.pyannote[1748].start |
18189.98159375 |
transcript.pyannote[1748].end |
18190.01534375 |
transcript.pyannote[1749].speaker |
SPEAKER_22 |
transcript.pyannote[1749].start |
18190.01534375 |
transcript.pyannote[1749].end |
18195.41534375 |
transcript.pyannote[1750].speaker |
SPEAKER_22 |
transcript.pyannote[1750].start |
18196.32659375 |
transcript.pyannote[1750].end |
18196.34346875 |
transcript.pyannote[1751].speaker |
SPEAKER_17 |
transcript.pyannote[1751].start |
18196.34346875 |
transcript.pyannote[1751].end |
18196.74846875 |
transcript.pyannote[1752].speaker |
SPEAKER_22 |
transcript.pyannote[1752].start |
18197.05221875 |
transcript.pyannote[1752].end |
18197.49096875 |
transcript.pyannote[1753].speaker |
SPEAKER_22 |
transcript.pyannote[1753].start |
18198.11534375 |
transcript.pyannote[1753].end |
18208.17284375 |
transcript.pyannote[1754].speaker |
SPEAKER_22 |
transcript.pyannote[1754].start |
18208.45971875 |
transcript.pyannote[1754].end |
18212.96534375 |
transcript.pyannote[1755].speaker |
SPEAKER_22 |
transcript.pyannote[1755].start |
18213.26909375 |
transcript.pyannote[1755].end |
18216.42471875 |
transcript.pyannote[1756].speaker |
SPEAKER_22 |
transcript.pyannote[1756].start |
18216.79596875 |
transcript.pyannote[1756].end |
18216.82971875 |
transcript.pyannote[1757].speaker |
SPEAKER_17 |
transcript.pyannote[1757].start |
18216.82971875 |
transcript.pyannote[1757].end |
18217.03221875 |
transcript.pyannote[1758].speaker |
SPEAKER_22 |
transcript.pyannote[1758].start |
18217.03221875 |
transcript.pyannote[1758].end |
18217.06596875 |
transcript.pyannote[1759].speaker |
SPEAKER_17 |
transcript.pyannote[1759].start |
18217.06596875 |
transcript.pyannote[1759].end |
18217.08284375 |
transcript.pyannote[1760].speaker |
SPEAKER_22 |
transcript.pyannote[1760].start |
18217.84221875 |
transcript.pyannote[1760].end |
18217.87596875 |
transcript.pyannote[1761].speaker |
SPEAKER_17 |
transcript.pyannote[1761].start |
18217.87596875 |
transcript.pyannote[1761].end |
18218.29784375 |
transcript.pyannote[1762].speaker |
SPEAKER_17 |
transcript.pyannote[1762].start |
18218.97284375 |
transcript.pyannote[1762].end |
18222.01034375 |
transcript.pyannote[1763].speaker |
SPEAKER_17 |
transcript.pyannote[1763].start |
18222.90471875 |
transcript.pyannote[1763].end |
18223.30971875 |
transcript.pyannote[1764].speaker |
SPEAKER_17 |
transcript.pyannote[1764].start |
18223.42784375 |
transcript.pyannote[1764].end |
18223.88346875 |
transcript.pyannote[1765].speaker |
SPEAKER_17 |
transcript.pyannote[1765].start |
18224.11971875 |
transcript.pyannote[1765].end |
18225.92534375 |
transcript.pyannote[1766].speaker |
SPEAKER_17 |
transcript.pyannote[1766].start |
18226.34721875 |
transcript.pyannote[1766].end |
18227.34284375 |
transcript.pyannote[1767].speaker |
SPEAKER_17 |
transcript.pyannote[1767].start |
18230.27909375 |
transcript.pyannote[1767].end |
18231.66284375 |
transcript.pyannote[1768].speaker |
SPEAKER_21 |
transcript.pyannote[1768].start |
18232.08471875 |
transcript.pyannote[1768].end |
18233.29971875 |
transcript.pyannote[1769].speaker |
SPEAKER_17 |
transcript.pyannote[1769].start |
18233.58659375 |
transcript.pyannote[1769].end |
18233.82284375 |
transcript.pyannote[1770].speaker |
SPEAKER_17 |
transcript.pyannote[1770].start |
18235.07159375 |
transcript.pyannote[1770].end |
18236.03346875 |
transcript.pyannote[1771].speaker |
SPEAKER_17 |
transcript.pyannote[1771].start |
18236.89409375 |
transcript.pyannote[1771].end |
18245.58471875 |
transcript.pyannote[1772].speaker |
SPEAKER_17 |
transcript.pyannote[1772].start |
18247.30596875 |
transcript.pyannote[1772].end |
18248.23409375 |
transcript.pyannote[1773].speaker |
SPEAKER_17 |
transcript.pyannote[1773].start |
18248.87534375 |
transcript.pyannote[1773].end |
18253.26284375 |
transcript.pyannote[1774].speaker |
SPEAKER_17 |
transcript.pyannote[1774].start |
18253.95471875 |
transcript.pyannote[1774].end |
18258.10596875 |
transcript.pyannote[1775].speaker |
SPEAKER_21 |
transcript.pyannote[1775].start |
18261.07596875 |
transcript.pyannote[1775].end |
18262.86471875 |
transcript.pyannote[1776].speaker |
SPEAKER_17 |
transcript.pyannote[1776].start |
18262.34159375 |
transcript.pyannote[1776].end |
18262.71284375 |
transcript.pyannote[1777].speaker |
SPEAKER_21 |
transcript.pyannote[1777].start |
18262.96596875 |
transcript.pyannote[1777].end |
18263.03346875 |
transcript.pyannote[1778].speaker |
SPEAKER_17 |
transcript.pyannote[1778].start |
18263.75909375 |
transcript.pyannote[1778].end |
18266.62784375 |
transcript.pyannote[1779].speaker |
SPEAKER_18 |
transcript.pyannote[1779].start |
18267.70784375 |
transcript.pyannote[1779].end |
18270.76221875 |
transcript.pyannote[1780].speaker |
SPEAKER_22 |
transcript.pyannote[1780].start |
18271.65659375 |
transcript.pyannote[1780].end |
18275.03159375 |
transcript.pyannote[1781].speaker |
SPEAKER_19 |
transcript.pyannote[1781].start |
18274.66034375 |
transcript.pyannote[1781].end |
18274.71096875 |
transcript.pyannote[1782].speaker |
SPEAKER_18 |
transcript.pyannote[1782].start |
18274.71096875 |
transcript.pyannote[1782].end |
18274.77846875 |
transcript.pyannote[1783].speaker |
SPEAKER_19 |
transcript.pyannote[1783].start |
18274.77846875 |
transcript.pyannote[1783].end |
18274.79534375 |
transcript.pyannote[1784].speaker |
SPEAKER_15 |
transcript.pyannote[1784].start |
18274.79534375 |
transcript.pyannote[1784].end |
18274.86284375 |
transcript.pyannote[1785].speaker |
SPEAKER_19 |
transcript.pyannote[1785].start |
18274.86284375 |
transcript.pyannote[1785].end |
18274.87971875 |
transcript.pyannote[1786].speaker |
SPEAKER_19 |
transcript.pyannote[1786].start |
18275.03159375 |
transcript.pyannote[1786].end |
18277.52909375 |
transcript.pyannote[1787].speaker |
SPEAKER_17 |
transcript.pyannote[1787].start |
18278.22096875 |
transcript.pyannote[1787].end |
18280.19534375 |
transcript.pyannote[1788].speaker |
SPEAKER_17 |
transcript.pyannote[1788].start |
18280.53284375 |
transcript.pyannote[1788].end |
18283.95846875 |
transcript.pyannote[1789].speaker |
SPEAKER_17 |
transcript.pyannote[1789].start |
18284.29596875 |
transcript.pyannote[1789].end |
18284.73471875 |
transcript.pyannote[1790].speaker |
SPEAKER_17 |
transcript.pyannote[1790].start |
18285.96659375 |
transcript.pyannote[1790].end |
18286.81034375 |
transcript.pyannote[1791].speaker |
SPEAKER_22 |
transcript.pyannote[1791].start |
18286.81034375 |
transcript.pyannote[1791].end |
18286.84409375 |
transcript.pyannote[1792].speaker |
SPEAKER_22 |
transcript.pyannote[1792].start |
18287.62034375 |
transcript.pyannote[1792].end |
18288.36284375 |
transcript.pyannote[1793].speaker |
SPEAKER_22 |
transcript.pyannote[1793].start |
18289.30784375 |
transcript.pyannote[1793].end |
18291.63659375 |
transcript.pyannote[1794].speaker |
SPEAKER_22 |
transcript.pyannote[1794].start |
18291.97409375 |
transcript.pyannote[1794].end |
18291.99096875 |
transcript.pyannote[1795].speaker |
SPEAKER_22 |
transcript.pyannote[1795].start |
18292.09221875 |
transcript.pyannote[1795].end |
18292.22721875 |
transcript.pyannote[1796].speaker |
SPEAKER_22 |
transcript.pyannote[1796].start |
18292.46346875 |
transcript.pyannote[1796].end |
18292.48034375 |
transcript.pyannote[1797].speaker |
SPEAKER_22 |
transcript.pyannote[1797].start |
18292.69971875 |
transcript.pyannote[1797].end |
18300.96846875 |
transcript.pyannote[1798].speaker |
SPEAKER_17 |
transcript.pyannote[1798].start |
18299.19659375 |
transcript.pyannote[1798].end |
18300.83346875 |
transcript.pyannote[1799].speaker |
SPEAKER_17 |
transcript.pyannote[1799].start |
18300.96846875 |
transcript.pyannote[1799].end |
18302.26784375 |
transcript.pyannote[1800].speaker |
SPEAKER_22 |
transcript.pyannote[1800].start |
18303.53346875 |
transcript.pyannote[1800].end |
18306.85784375 |
transcript.pyannote[1801].speaker |
SPEAKER_19 |
transcript.pyannote[1801].start |
18303.76971875 |
transcript.pyannote[1801].end |
18303.85409375 |
transcript.pyannote[1802].speaker |
SPEAKER_17 |
transcript.pyannote[1802].start |
18303.85409375 |
transcript.pyannote[1802].end |
18304.20846875 |
transcript.pyannote[1803].speaker |
SPEAKER_19 |
transcript.pyannote[1803].start |
18304.20846875 |
transcript.pyannote[1803].end |
18304.81596875 |
transcript.pyannote[1804].speaker |
SPEAKER_17 |
transcript.pyannote[1804].start |
18304.81596875 |
transcript.pyannote[1804].end |
18304.93409375 |
transcript.pyannote[1805].speaker |
SPEAKER_19 |
transcript.pyannote[1805].start |
18304.93409375 |
transcript.pyannote[1805].end |
18305.47409375 |
transcript.pyannote[1806].speaker |
SPEAKER_15 |
transcript.pyannote[1806].start |
18306.31784375 |
transcript.pyannote[1806].end |
18306.40221875 |
transcript.pyannote[1807].speaker |
SPEAKER_19 |
transcript.pyannote[1807].start |
18306.40221875 |
transcript.pyannote[1807].end |
18306.41909375 |
transcript.pyannote[1808].speaker |
SPEAKER_15 |
transcript.pyannote[1808].start |
18306.41909375 |
transcript.pyannote[1808].end |
18306.82409375 |
transcript.pyannote[1809].speaker |
SPEAKER_15 |
transcript.pyannote[1809].start |
18306.85784375 |
transcript.pyannote[1809].end |
18309.00096875 |
transcript.pyannote[1810].speaker |
SPEAKER_21 |
transcript.pyannote[1810].start |
18309.00096875 |
transcript.pyannote[1810].end |
18312.54471875 |
transcript.pyannote[1811].speaker |
SPEAKER_15 |
transcript.pyannote[1811].start |
18312.54471875 |
transcript.pyannote[1811].end |
18312.69659375 |
transcript.pyannote[1812].speaker |
SPEAKER_18 |
transcript.pyannote[1812].start |
18312.69659375 |
transcript.pyannote[1812].end |
18316.51034375 |
transcript.pyannote[1813].speaker |
SPEAKER_21 |
transcript.pyannote[1813].start |
18316.51034375 |
transcript.pyannote[1813].end |
18316.86471875 |
transcript.pyannote[1814].speaker |
SPEAKER_18 |
transcript.pyannote[1814].start |
18316.86471875 |
transcript.pyannote[1814].end |
18317.79284375 |
transcript.pyannote[1815].speaker |
SPEAKER_19 |
transcript.pyannote[1815].start |
18317.79284375 |
transcript.pyannote[1815].end |
18318.01221875 |
transcript.pyannote[1816].speaker |
SPEAKER_21 |
transcript.pyannote[1816].start |
18318.01221875 |
transcript.pyannote[1816].end |
18318.29909375 |
transcript.pyannote[1817].speaker |
SPEAKER_18 |
transcript.pyannote[1817].start |
18318.29909375 |
transcript.pyannote[1817].end |
18318.34971875 |
transcript.pyannote[1818].speaker |
SPEAKER_18 |
transcript.pyannote[1818].start |
18318.53534375 |
transcript.pyannote[1818].end |
18320.03721875 |
transcript.pyannote[1819].speaker |
SPEAKER_22 |
transcript.pyannote[1819].start |
18320.47596875 |
transcript.pyannote[1819].end |
18323.90159375 |
transcript.pyannote[1820].speaker |
SPEAKER_17 |
transcript.pyannote[1820].start |
18325.01534375 |
transcript.pyannote[1820].end |
18325.16721875 |
transcript.pyannote[1821].speaker |
SPEAKER_22 |
transcript.pyannote[1821].start |
18325.16721875 |
transcript.pyannote[1821].end |
18325.33596875 |
transcript.pyannote[1822].speaker |
SPEAKER_17 |
transcript.pyannote[1822].start |
18325.33596875 |
transcript.pyannote[1822].end |
18325.35284375 |
transcript.pyannote[1823].speaker |
SPEAKER_17 |
transcript.pyannote[1823].start |
18327.07409375 |
transcript.pyannote[1823].end |
18329.41971875 |
transcript.pyannote[1824].speaker |
SPEAKER_19 |
transcript.pyannote[1824].start |
18331.91721875 |
transcript.pyannote[1824].end |
18332.23784375 |
transcript.pyannote[1825].speaker |
SPEAKER_19 |
transcript.pyannote[1825].start |
18332.40659375 |
transcript.pyannote[1825].end |
18332.47409375 |
transcript.pyannote[1826].speaker |
SPEAKER_17 |
transcript.pyannote[1826].start |
18332.47409375 |
transcript.pyannote[1826].end |
18337.43534375 |
transcript.pyannote[1827].speaker |
SPEAKER_19 |
transcript.pyannote[1827].start |
18335.29221875 |
transcript.pyannote[1827].end |
18335.34284375 |
transcript.pyannote[1828].speaker |
SPEAKER_17 |
transcript.pyannote[1828].start |
18339.91596875 |
transcript.pyannote[1828].end |
18342.39659375 |
transcript.pyannote[1829].speaker |
SPEAKER_17 |
transcript.pyannote[1829].start |
18343.15596875 |
transcript.pyannote[1829].end |
18346.02471875 |
transcript.pyannote[1830].speaker |
SPEAKER_22 |
transcript.pyannote[1830].start |
18346.02471875 |
transcript.pyannote[1830].end |
18347.15534375 |
transcript.pyannote[1831].speaker |
SPEAKER_22 |
transcript.pyannote[1831].start |
18347.88096875 |
transcript.pyannote[1831].end |
18368.33346875 |
transcript.pyannote[1832].speaker |
SPEAKER_22 |
transcript.pyannote[1832].start |
18368.83971875 |
transcript.pyannote[1832].end |
18369.16034375 |
transcript.pyannote[1833].speaker |
SPEAKER_17 |
transcript.pyannote[1833].start |
18369.16034375 |
transcript.pyannote[1833].end |
18369.36284375 |
transcript.pyannote[1834].speaker |
SPEAKER_17 |
transcript.pyannote[1834].start |
18369.41346875 |
transcript.pyannote[1834].end |
18369.49784375 |
transcript.pyannote[1835].speaker |
SPEAKER_22 |
transcript.pyannote[1835].start |
18369.49784375 |
transcript.pyannote[1835].end |
18369.97034375 |
transcript.pyannote[1836].speaker |
SPEAKER_17 |
transcript.pyannote[1836].start |
18369.97034375 |
transcript.pyannote[1836].end |
18373.98659375 |
transcript.pyannote[1837].speaker |
SPEAKER_19 |
transcript.pyannote[1837].start |
18372.60284375 |
transcript.pyannote[1837].end |
18373.02471875 |
transcript.pyannote[1838].speaker |
SPEAKER_19 |
transcript.pyannote[1838].start |
18374.08784375 |
transcript.pyannote[1838].end |
18374.62784375 |
transcript.pyannote[1839].speaker |
SPEAKER_17 |
transcript.pyannote[1839].start |
18374.32409375 |
transcript.pyannote[1839].end |
18380.14596875 |
transcript.pyannote[1840].speaker |
SPEAKER_19 |
transcript.pyannote[1840].start |
18376.60221875 |
transcript.pyannote[1840].end |
18376.85534375 |
transcript.pyannote[1841].speaker |
SPEAKER_19 |
transcript.pyannote[1841].start |
18380.14596875 |
transcript.pyannote[1841].end |
18380.51721875 |
transcript.pyannote[1842].speaker |
SPEAKER_17 |
transcript.pyannote[1842].start |
18380.46659375 |
transcript.pyannote[1842].end |
18382.01909375 |
transcript.pyannote[1843].speaker |
SPEAKER_17 |
transcript.pyannote[1843].start |
18382.40721875 |
transcript.pyannote[1843].end |
18383.43659375 |
transcript.pyannote[1844].speaker |
SPEAKER_17 |
transcript.pyannote[1844].start |
18385.12409375 |
transcript.pyannote[1844].end |
18386.76096875 |
transcript.pyannote[1845].speaker |
SPEAKER_17 |
transcript.pyannote[1845].start |
18388.07721875 |
transcript.pyannote[1845].end |
18389.79846875 |
transcript.pyannote[1846].speaker |
SPEAKER_21 |
transcript.pyannote[1846].start |
18389.89971875 |
transcript.pyannote[1846].end |
18391.18221875 |
transcript.pyannote[1847].speaker |
SPEAKER_17 |
transcript.pyannote[1847].start |
18391.33409375 |
transcript.pyannote[1847].end |
18393.32534375 |
transcript.pyannote[1848].speaker |
SPEAKER_17 |
transcript.pyannote[1848].start |
18393.62909375 |
transcript.pyannote[1848].end |
18406.72409375 |
transcript.pyannote[1849].speaker |
SPEAKER_17 |
transcript.pyannote[1849].start |
18406.74096875 |
transcript.pyannote[1849].end |
18418.24971875 |
transcript.pyannote[1850].speaker |
SPEAKER_17 |
transcript.pyannote[1850].start |
18418.63784375 |
transcript.pyannote[1850].end |
18422.14784375 |
transcript.pyannote[1851].speaker |
SPEAKER_11 |
transcript.pyannote[1851].start |
18421.45596875 |
transcript.pyannote[1851].end |
18421.50659375 |
transcript.pyannote[1852].speaker |
SPEAKER_17 |
transcript.pyannote[1852].start |
18422.26596875 |
transcript.pyannote[1852].end |
18422.50221875 |
transcript.pyannote[1853].speaker |
SPEAKER_17 |
transcript.pyannote[1853].start |
18423.31221875 |
transcript.pyannote[1853].end |
18424.39221875 |
transcript.pyannote[1854].speaker |
SPEAKER_11 |
transcript.pyannote[1854].start |
18425.25284375 |
transcript.pyannote[1854].end |
18426.18096875 |
transcript.pyannote[1855].speaker |
SPEAKER_17 |
transcript.pyannote[1855].start |
18425.33721875 |
transcript.pyannote[1855].end |
18426.36659375 |
transcript.pyannote[1856].speaker |
SPEAKER_11 |
transcript.pyannote[1856].start |
18426.75471875 |
transcript.pyannote[1856].end |
18431.64846875 |
transcript.pyannote[1857].speaker |
SPEAKER_09 |
transcript.pyannote[1857].start |
18432.34034375 |
transcript.pyannote[1857].end |
18436.82909375 |
transcript.pyannote[1858].speaker |
SPEAKER_11 |
transcript.pyannote[1858].start |
18434.01096875 |
transcript.pyannote[1858].end |
18440.13659375 |
transcript.pyannote[1859].speaker |
SPEAKER_11 |
transcript.pyannote[1859].start |
18440.28846875 |
transcript.pyannote[1859].end |
18492.41534375 |
transcript.pyannote[1860].speaker |
SPEAKER_11 |
transcript.pyannote[1860].start |
18493.19159375 |
transcript.pyannote[1860].end |
18493.78221875 |
transcript.pyannote[1861].speaker |
SPEAKER_11 |
transcript.pyannote[1861].start |
18494.54159375 |
transcript.pyannote[1861].end |
18525.10221875 |
transcript.pyannote[1862].speaker |
SPEAKER_17 |
transcript.pyannote[1862].start |
18526.50284375 |
transcript.pyannote[1862].end |
18527.19471875 |
transcript.pyannote[1863].speaker |
SPEAKER_08 |
transcript.pyannote[1863].start |
18531.37971875 |
transcript.pyannote[1863].end |
18579.45659375 |
transcript.pyannote[1864].speaker |
SPEAKER_08 |
transcript.pyannote[1864].start |
18579.49034375 |
transcript.pyannote[1864].end |
18583.23659375 |
transcript.pyannote[1865].speaker |
SPEAKER_08 |
transcript.pyannote[1865].start |
18583.35471875 |
transcript.pyannote[1865].end |
18689.41409375 |
transcript.pyannote[1866].speaker |
SPEAKER_17 |
transcript.pyannote[1866].start |
18690.29159375 |
transcript.pyannote[1866].end |
18691.00034375 |
transcript.pyannote[1867].speaker |
SPEAKER_14 |
transcript.pyannote[1867].start |
18694.81409375 |
transcript.pyannote[1867].end |
18707.50409375 |
transcript.pyannote[1868].speaker |
SPEAKER_14 |
transcript.pyannote[1868].start |
18707.85846875 |
transcript.pyannote[1868].end |
18734.84159375 |
transcript.pyannote[1869].speaker |
SPEAKER_14 |
transcript.pyannote[1869].start |
18735.24659375 |
transcript.pyannote[1869].end |
18754.95659375 |
transcript.pyannote[1870].speaker |
SPEAKER_14 |
transcript.pyannote[1870].start |
18755.56409375 |
transcript.pyannote[1870].end |
18790.05659375 |
transcript.pyannote[1871].speaker |
SPEAKER_14 |
transcript.pyannote[1871].start |
18790.12409375 |
transcript.pyannote[1871].end |
18807.58971875 |
transcript.pyannote[1872].speaker |
SPEAKER_17 |
transcript.pyannote[1872].start |
18809.41221875 |
transcript.pyannote[1872].end |
18810.12096875 |
transcript.pyannote[1873].speaker |
SPEAKER_16 |
transcript.pyannote[1873].start |
18810.12096875 |
transcript.pyannote[1873].end |
18810.13784375 |
transcript.pyannote[1874].speaker |
SPEAKER_16 |
transcript.pyannote[1874].start |
18813.24284375 |
transcript.pyannote[1874].end |
18817.07346875 |
transcript.pyannote[1875].speaker |
SPEAKER_16 |
transcript.pyannote[1875].start |
18817.61346875 |
transcript.pyannote[1875].end |
18825.05534375 |
transcript.pyannote[1876].speaker |
SPEAKER_16 |
transcript.pyannote[1876].start |
18825.42659375 |
transcript.pyannote[1876].end |
18833.42534375 |
transcript.pyannote[1877].speaker |
SPEAKER_16 |
transcript.pyannote[1877].start |
18833.69534375 |
transcript.pyannote[1877].end |
18882.95346875 |
transcript.pyannote[1878].speaker |
SPEAKER_22 |
transcript.pyannote[1878].start |
18883.12221875 |
transcript.pyannote[1878].end |
18883.91534375 |
transcript.pyannote[1879].speaker |
SPEAKER_16 |
transcript.pyannote[1879].start |
18883.91534375 |
transcript.pyannote[1879].end |
18885.43409375 |
transcript.pyannote[1880].speaker |
SPEAKER_22 |
transcript.pyannote[1880].start |
18884.59034375 |
transcript.pyannote[1880].end |
18886.36221875 |
transcript.pyannote[1881].speaker |
SPEAKER_16 |
transcript.pyannote[1881].start |
18886.36221875 |
transcript.pyannote[1881].end |
18887.30721875 |
transcript.pyannote[1882].speaker |
SPEAKER_22 |
transcript.pyannote[1882].start |
18887.30721875 |
transcript.pyannote[1882].end |
18889.55159375 |
transcript.pyannote[1883].speaker |
SPEAKER_16 |
transcript.pyannote[1883].start |
18887.66159375 |
transcript.pyannote[1883].end |
18888.48846875 |
transcript.pyannote[1884].speaker |
SPEAKER_16 |
transcript.pyannote[1884].start |
18889.55159375 |
transcript.pyannote[1884].end |
18901.60034375 |
transcript.pyannote[1885].speaker |
SPEAKER_16 |
transcript.pyannote[1885].start |
18901.97159375 |
transcript.pyannote[1885].end |
18913.83471875 |
transcript.pyannote[1886].speaker |
SPEAKER_16 |
transcript.pyannote[1886].start |
18913.96971875 |
transcript.pyannote[1886].end |
18930.96284375 |
transcript.pyannote[1887].speaker |
SPEAKER_16 |
transcript.pyannote[1887].start |
18931.50284375 |
transcript.pyannote[1887].end |
18934.33784375 |
transcript.pyannote[1888].speaker |
SPEAKER_16 |
transcript.pyannote[1888].start |
18934.91159375 |
transcript.pyannote[1888].end |
18968.00346875 |
transcript.pyannote[1889].speaker |
SPEAKER_16 |
transcript.pyannote[1889].start |
18968.44221875 |
transcript.pyannote[1889].end |
18972.74534375 |
transcript.pyannote[1890].speaker |
SPEAKER_16 |
transcript.pyannote[1890].start |
18972.94784375 |
transcript.pyannote[1890].end |
18974.21346875 |
transcript.pyannote[1891].speaker |
SPEAKER_01 |
transcript.pyannote[1891].start |
18975.52971875 |
transcript.pyannote[1891].end |
18975.68159375 |
transcript.pyannote[1892].speaker |
SPEAKER_16 |
transcript.pyannote[1892].start |
18975.68159375 |
transcript.pyannote[1892].end |
18975.98534375 |
transcript.pyannote[1893].speaker |
SPEAKER_01 |
transcript.pyannote[1893].start |
18975.98534375 |
transcript.pyannote[1893].end |
18976.00221875 |
transcript.pyannote[1894].speaker |
SPEAKER_01 |
transcript.pyannote[1894].start |
18979.30971875 |
transcript.pyannote[1894].end |
18997.95659375 |
transcript.pyannote[1895].speaker |
SPEAKER_01 |
transcript.pyannote[1895].start |
18998.41221875 |
transcript.pyannote[1895].end |
19015.65846875 |
transcript.pyannote[1896].speaker |
SPEAKER_01 |
transcript.pyannote[1896].start |
19016.58659375 |
transcript.pyannote[1896].end |
19018.78034375 |
transcript.pyannote[1897].speaker |
SPEAKER_01 |
transcript.pyannote[1897].start |
19018.96596875 |
transcript.pyannote[1897].end |
19021.00784375 |
transcript.pyannote[1898].speaker |
SPEAKER_01 |
transcript.pyannote[1898].start |
19021.34534375 |
transcript.pyannote[1898].end |
19026.55971875 |
transcript.pyannote[1899].speaker |
SPEAKER_01 |
transcript.pyannote[1899].start |
19027.11659375 |
transcript.pyannote[1899].end |
19027.62284375 |
transcript.pyannote[1900].speaker |
SPEAKER_17 |
transcript.pyannote[1900].start |
19028.87159375 |
transcript.pyannote[1900].end |
19029.49596875 |
transcript.pyannote[1901].speaker |
SPEAKER_03 |
transcript.pyannote[1901].start |
19029.49596875 |
transcript.pyannote[1901].end |
19029.51284375 |
transcript.pyannote[1902].speaker |
SPEAKER_03 |
transcript.pyannote[1902].start |
19032.97221875 |
transcript.pyannote[1902].end |
19044.64971875 |
transcript.pyannote[1903].speaker |
SPEAKER_03 |
transcript.pyannote[1903].start |
19044.73409375 |
transcript.pyannote[1903].end |
19047.16409375 |
transcript.pyannote[1904].speaker |
SPEAKER_03 |
transcript.pyannote[1904].start |
19047.80534375 |
transcript.pyannote[1904].end |
19054.67346875 |
transcript.pyannote[1905].speaker |
SPEAKER_03 |
transcript.pyannote[1905].start |
19054.99409375 |
transcript.pyannote[1905].end |
19068.61221875 |
transcript.pyannote[1906].speaker |
SPEAKER_03 |
transcript.pyannote[1906].start |
19069.01721875 |
transcript.pyannote[1906].end |
19077.40409375 |
transcript.pyannote[1907].speaker |
SPEAKER_03 |
transcript.pyannote[1907].start |
19077.55596875 |
transcript.pyannote[1907].end |
19079.78346875 |
transcript.pyannote[1908].speaker |
SPEAKER_03 |
transcript.pyannote[1908].start |
19080.13784375 |
transcript.pyannote[1908].end |
19080.77909375 |
transcript.pyannote[1909].speaker |
SPEAKER_03 |
transcript.pyannote[1909].start |
19080.94784375 |
transcript.pyannote[1909].end |
19085.28471875 |
transcript.pyannote[1910].speaker |
SPEAKER_03 |
transcript.pyannote[1910].start |
19086.46596875 |
transcript.pyannote[1910].end |
19087.93409375 |
transcript.pyannote[1911].speaker |
SPEAKER_17 |
transcript.pyannote[1911].start |
19087.93409375 |
transcript.pyannote[1911].end |
19087.95096875 |
transcript.pyannote[1912].speaker |
SPEAKER_03 |
transcript.pyannote[1912].start |
19087.95096875 |
transcript.pyannote[1912].end |
19087.96784375 |
transcript.pyannote[1913].speaker |
SPEAKER_06 |
transcript.pyannote[1913].start |
19089.01409375 |
transcript.pyannote[1913].end |
19092.33846875 |
transcript.pyannote[1914].speaker |
SPEAKER_06 |
transcript.pyannote[1914].start |
19092.86159375 |
transcript.pyannote[1914].end |
19093.50284375 |
transcript.pyannote[1915].speaker |
SPEAKER_06 |
transcript.pyannote[1915].start |
19093.99221875 |
transcript.pyannote[1915].end |
19096.11846875 |
transcript.pyannote[1916].speaker |
SPEAKER_06 |
transcript.pyannote[1916].start |
19097.51909375 |
transcript.pyannote[1916].end |
19103.49284375 |
transcript.pyannote[1917].speaker |
SPEAKER_06 |
transcript.pyannote[1917].start |
19103.84721875 |
transcript.pyannote[1917].end |
19107.49221875 |
transcript.pyannote[1918].speaker |
SPEAKER_06 |
transcript.pyannote[1918].start |
19107.94784375 |
transcript.pyannote[1918].end |
19110.00659375 |
transcript.pyannote[1919].speaker |
SPEAKER_06 |
transcript.pyannote[1919].start |
19110.31034375 |
transcript.pyannote[1919].end |
19111.93034375 |
transcript.pyannote[1920].speaker |
SPEAKER_06 |
transcript.pyannote[1920].start |
19112.89221875 |
transcript.pyannote[1920].end |
19116.28409375 |
transcript.pyannote[1921].speaker |
SPEAKER_06 |
transcript.pyannote[1921].start |
19116.79034375 |
transcript.pyannote[1921].end |
19121.43096875 |
transcript.pyannote[1922].speaker |
SPEAKER_00 |
transcript.pyannote[1922].start |
19117.39784375 |
transcript.pyannote[1922].end |
19117.41471875 |
transcript.pyannote[1923].speaker |
SPEAKER_00 |
transcript.pyannote[1923].start |
19117.43159375 |
transcript.pyannote[1923].end |
19117.51596875 |
transcript.pyannote[1924].speaker |
SPEAKER_06 |
transcript.pyannote[1924].start |
19122.03846875 |
transcript.pyannote[1924].end |
19123.77659375 |
transcript.pyannote[1925].speaker |
SPEAKER_06 |
transcript.pyannote[1925].start |
19124.46846875 |
transcript.pyannote[1925].end |
19127.43846875 |
transcript.pyannote[1926].speaker |
SPEAKER_06 |
transcript.pyannote[1926].start |
19127.87721875 |
transcript.pyannote[1926].end |
19131.67409375 |
transcript.pyannote[1927].speaker |
SPEAKER_06 |
transcript.pyannote[1927].start |
19132.07909375 |
transcript.pyannote[1927].end |
19134.57659375 |
transcript.pyannote[1928].speaker |
SPEAKER_06 |
transcript.pyannote[1928].start |
19135.13346875 |
transcript.pyannote[1928].end |
19138.52534375 |
transcript.pyannote[1929].speaker |
SPEAKER_06 |
transcript.pyannote[1929].start |
19139.18346875 |
transcript.pyannote[1929].end |
19140.31409375 |
transcript.pyannote[1930].speaker |
SPEAKER_06 |
transcript.pyannote[1930].start |
19140.88784375 |
transcript.pyannote[1930].end |
19144.90409375 |
transcript.pyannote[1931].speaker |
SPEAKER_06 |
transcript.pyannote[1931].start |
19145.64659375 |
transcript.pyannote[1931].end |
19148.85284375 |
transcript.pyannote[1932].speaker |
SPEAKER_19 |
transcript.pyannote[1932].start |
19146.81096875 |
transcript.pyannote[1932].end |
19146.96284375 |
transcript.pyannote[1933].speaker |
SPEAKER_06 |
transcript.pyannote[1933].start |
19149.15659375 |
transcript.pyannote[1933].end |
19150.00034375 |
transcript.pyannote[1934].speaker |
SPEAKER_06 |
transcript.pyannote[1934].start |
19150.72596875 |
transcript.pyannote[1934].end |
19156.27784375 |
transcript.pyannote[1935].speaker |
SPEAKER_06 |
transcript.pyannote[1935].start |
19156.80096875 |
transcript.pyannote[1935].end |
19162.85909375 |
transcript.pyannote[1936].speaker |
SPEAKER_06 |
transcript.pyannote[1936].start |
19164.54659375 |
transcript.pyannote[1936].end |
19165.22159375 |
transcript.pyannote[1937].speaker |
SPEAKER_06 |
transcript.pyannote[1937].start |
19166.09909375 |
transcript.pyannote[1937].end |
19170.01409375 |
transcript.pyannote[1938].speaker |
SPEAKER_06 |
transcript.pyannote[1938].start |
19170.18284375 |
transcript.pyannote[1938].end |
19173.42284375 |
transcript.pyannote[1939].speaker |
SPEAKER_06 |
transcript.pyannote[1939].start |
19174.11471875 |
transcript.pyannote[1939].end |
19182.06284375 |
transcript.pyannote[1940].speaker |
SPEAKER_06 |
transcript.pyannote[1940].start |
19182.23159375 |
transcript.pyannote[1940].end |
19190.36534375 |
transcript.pyannote[1941].speaker |
SPEAKER_06 |
transcript.pyannote[1941].start |
19190.48346875 |
transcript.pyannote[1941].end |
19193.01471875 |
transcript.pyannote[1942].speaker |
SPEAKER_06 |
transcript.pyannote[1942].start |
19193.74034375 |
transcript.pyannote[1942].end |
19195.63034375 |
transcript.pyannote[1943].speaker |
SPEAKER_06 |
transcript.pyannote[1943].start |
19195.98471875 |
transcript.pyannote[1943].end |
19196.49096875 |
transcript.pyannote[1944].speaker |
SPEAKER_24 |
transcript.pyannote[1944].start |
19197.46971875 |
transcript.pyannote[1944].end |
19198.22909375 |
transcript.pyannote[1945].speaker |
SPEAKER_24 |
transcript.pyannote[1945].start |
19201.04721875 |
transcript.pyannote[1945].end |
19204.54034375 |
transcript.pyannote[1946].speaker |
SPEAKER_24 |
transcript.pyannote[1946].start |
19205.04659375 |
transcript.pyannote[1946].end |
19207.24034375 |
transcript.pyannote[1947].speaker |
SPEAKER_24 |
transcript.pyannote[1947].start |
19209.34971875 |
transcript.pyannote[1947].end |
19213.50096875 |
transcript.pyannote[1948].speaker |
SPEAKER_24 |
transcript.pyannote[1948].start |
19213.90596875 |
transcript.pyannote[1948].end |
19225.51596875 |
transcript.pyannote[1949].speaker |
SPEAKER_24 |
transcript.pyannote[1949].start |
19225.97159375 |
transcript.pyannote[1949].end |
19228.40159375 |
transcript.pyannote[1950].speaker |
SPEAKER_24 |
transcript.pyannote[1950].start |
19229.76846875 |
transcript.pyannote[1950].end |
19230.88221875 |
transcript.pyannote[1951].speaker |
SPEAKER_22 |
transcript.pyannote[1951].start |
19229.95409375 |
transcript.pyannote[1951].end |
19235.92784375 |
transcript.pyannote[1952].speaker |
SPEAKER_24 |
transcript.pyannote[1952].start |
19235.92784375 |
transcript.pyannote[1952].end |
19242.86346875 |
transcript.pyannote[1953].speaker |
SPEAKER_22 |
transcript.pyannote[1953].start |
19238.93159375 |
transcript.pyannote[1953].end |
19240.07909375 |
transcript.pyannote[1954].speaker |
SPEAKER_22 |
transcript.pyannote[1954].start |
19240.21409375 |
transcript.pyannote[1954].end |
19241.96909375 |
transcript.pyannote[1955].speaker |
SPEAKER_24 |
transcript.pyannote[1955].start |
19243.18409375 |
transcript.pyannote[1955].end |
19243.90971875 |
transcript.pyannote[1956].speaker |
SPEAKER_24 |
transcript.pyannote[1956].start |
19245.10784375 |
transcript.pyannote[1956].end |
19247.43659375 |
transcript.pyannote[1957].speaker |
SPEAKER_24 |
transcript.pyannote[1957].start |
19248.33096875 |
transcript.pyannote[1957].end |
19268.95221875 |
transcript.pyannote[1958].speaker |
SPEAKER_24 |
transcript.pyannote[1958].start |
19270.52159375 |
transcript.pyannote[1958].end |
19271.07846875 |
transcript.pyannote[1959].speaker |
SPEAKER_17 |
transcript.pyannote[1959].start |
19271.07846875 |
transcript.pyannote[1959].end |
19271.14596875 |
transcript.pyannote[1960].speaker |
SPEAKER_24 |
transcript.pyannote[1960].start |
19271.14596875 |
transcript.pyannote[1960].end |
19271.19659375 |
transcript.pyannote[1961].speaker |
SPEAKER_17 |
transcript.pyannote[1961].start |
19271.19659375 |
transcript.pyannote[1961].end |
19271.23034375 |
transcript.pyannote[1962].speaker |
SPEAKER_17 |
transcript.pyannote[1962].start |
19272.15846875 |
transcript.pyannote[1962].end |
19272.25971875 |
transcript.pyannote[1963].speaker |
SPEAKER_22 |
transcript.pyannote[1963].start |
19272.25971875 |
transcript.pyannote[1963].end |
19273.06971875 |
transcript.pyannote[1964].speaker |
SPEAKER_17 |
transcript.pyannote[1964].start |
19273.06971875 |
transcript.pyannote[1964].end |
19273.15409375 |
transcript.pyannote[1965].speaker |
SPEAKER_22 |
transcript.pyannote[1965].start |
19273.15409375 |
transcript.pyannote[1965].end |
19273.18784375 |
transcript.pyannote[1966].speaker |
SPEAKER_22 |
transcript.pyannote[1966].start |
19273.87971875 |
transcript.pyannote[1966].end |
19288.12221875 |
transcript.pyannote[1967].speaker |
SPEAKER_22 |
transcript.pyannote[1967].start |
19288.40909375 |
transcript.pyannote[1967].end |
19289.01659375 |
transcript.pyannote[1968].speaker |
SPEAKER_22 |
transcript.pyannote[1968].start |
19289.74221875 |
transcript.pyannote[1968].end |
19290.28221875 |
transcript.pyannote[1969].speaker |
SPEAKER_22 |
transcript.pyannote[1969].start |
19290.90659375 |
transcript.pyannote[1969].end |
19292.93159375 |
transcript.pyannote[1970].speaker |
SPEAKER_22 |
transcript.pyannote[1970].start |
19293.25221875 |
transcript.pyannote[1970].end |
19296.39096875 |
transcript.pyannote[1971].speaker |
SPEAKER_22 |
transcript.pyannote[1971].start |
19296.79596875 |
transcript.pyannote[1971].end |
19297.89284375 |
transcript.pyannote[1972].speaker |
SPEAKER_22 |
transcript.pyannote[1972].start |
19298.09534375 |
transcript.pyannote[1972].end |
19299.12471875 |
transcript.pyannote[1973].speaker |
SPEAKER_22 |
transcript.pyannote[1973].start |
19299.29346875 |
transcript.pyannote[1973].end |
19301.14971875 |
transcript.pyannote[1974].speaker |
SPEAKER_22 |
transcript.pyannote[1974].start |
19301.35221875 |
transcript.pyannote[1974].end |
19301.85846875 |
transcript.pyannote[1975].speaker |
SPEAKER_22 |
transcript.pyannote[1975].start |
19302.16221875 |
transcript.pyannote[1975].end |
19305.94221875 |
transcript.pyannote[1976].speaker |
SPEAKER_22 |
transcript.pyannote[1976].start |
19306.07721875 |
transcript.pyannote[1976].end |
19310.32971875 |
transcript.pyannote[1977].speaker |
SPEAKER_22 |
transcript.pyannote[1977].start |
19310.53221875 |
transcript.pyannote[1977].end |
19324.90971875 |
transcript.pyannote[1978].speaker |
SPEAKER_22 |
transcript.pyannote[1978].start |
19325.06159375 |
transcript.pyannote[1978].end |
19333.61721875 |
transcript.pyannote[1979].speaker |
SPEAKER_22 |
transcript.pyannote[1979].start |
19334.07284375 |
transcript.pyannote[1979].end |
19334.64659375 |
transcript.pyannote[1980].speaker |
SPEAKER_22 |
transcript.pyannote[1980].start |
19334.95034375 |
transcript.pyannote[1980].end |
19336.04721875 |
transcript.pyannote[1981].speaker |
SPEAKER_22 |
transcript.pyannote[1981].start |
19336.31721875 |
transcript.pyannote[1981].end |
19337.44784375 |
transcript.pyannote[1982].speaker |
SPEAKER_22 |
transcript.pyannote[1982].start |
19338.13971875 |
transcript.pyannote[1982].end |
19340.31659375 |
transcript.pyannote[1983].speaker |
SPEAKER_22 |
transcript.pyannote[1983].start |
19340.67096875 |
transcript.pyannote[1983].end |
19348.87221875 |
transcript.pyannote[1984].speaker |
SPEAKER_22 |
transcript.pyannote[1984].start |
19349.09159375 |
transcript.pyannote[1984].end |
19352.02784375 |
transcript.pyannote[1985].speaker |
SPEAKER_22 |
transcript.pyannote[1985].start |
19352.12909375 |
transcript.pyannote[1985].end |
19389.70971875 |
transcript.pyannote[1986].speaker |
SPEAKER_22 |
transcript.pyannote[1986].start |
19390.36784375 |
transcript.pyannote[1986].end |
19398.75471875 |
transcript.pyannote[1987].speaker |
SPEAKER_22 |
transcript.pyannote[1987].start |
19398.94034375 |
transcript.pyannote[1987].end |
19425.95721875 |
transcript.pyannote[1988].speaker |
SPEAKER_22 |
transcript.pyannote[1988].start |
19426.21034375 |
transcript.pyannote[1988].end |
19429.07909375 |
transcript.pyannote[1989].speaker |
SPEAKER_22 |
transcript.pyannote[1989].start |
19429.43346875 |
transcript.pyannote[1989].end |
19435.25534375 |
transcript.pyannote[1990].speaker |
SPEAKER_22 |
transcript.pyannote[1990].start |
19435.42409375 |
transcript.pyannote[1990].end |
19437.83721875 |
transcript.pyannote[1991].speaker |
SPEAKER_22 |
transcript.pyannote[1991].start |
19437.95534375 |
transcript.pyannote[1991].end |
19439.30534375 |
transcript.pyannote[1992].speaker |
SPEAKER_22 |
transcript.pyannote[1992].start |
19439.64284375 |
transcript.pyannote[1992].end |
19441.78596875 |
transcript.pyannote[1993].speaker |
SPEAKER_22 |
transcript.pyannote[1993].start |
19441.88721875 |
transcript.pyannote[1993].end |
19443.49034375 |
transcript.pyannote[1994].speaker |
SPEAKER_22 |
transcript.pyannote[1994].start |
19443.84471875 |
transcript.pyannote[1994].end |
19449.73409375 |
transcript.pyannote[1995].speaker |
SPEAKER_22 |
transcript.pyannote[1995].start |
19450.42596875 |
transcript.pyannote[1995].end |
19453.32846875 |
transcript.pyannote[1996].speaker |
SPEAKER_22 |
transcript.pyannote[1996].start |
19453.36221875 |
transcript.pyannote[1996].end |
19454.25659375 |
transcript.pyannote[1997].speaker |
SPEAKER_22 |
transcript.pyannote[1997].start |
19454.62784375 |
transcript.pyannote[1997].end |
19457.66534375 |
transcript.pyannote[1998].speaker |
SPEAKER_22 |
transcript.pyannote[1998].start |
19458.22221875 |
transcript.pyannote[1998].end |
19459.13346875 |
transcript.pyannote[1999].speaker |
SPEAKER_22 |
transcript.pyannote[1999].start |
19459.30221875 |
transcript.pyannote[1999].end |
19464.53346875 |
transcript.pyannote[2000].speaker |
SPEAKER_22 |
transcript.pyannote[2000].start |
19464.68534375 |
transcript.pyannote[2000].end |
19466.92971875 |
transcript.pyannote[2001].speaker |
SPEAKER_22 |
transcript.pyannote[2001].start |
19467.13221875 |
transcript.pyannote[2001].end |
19470.40596875 |
transcript.pyannote[2002].speaker |
SPEAKER_22 |
transcript.pyannote[2002].start |
19471.13159375 |
transcript.pyannote[2002].end |
19472.22846875 |
transcript.pyannote[2003].speaker |
SPEAKER_22 |
transcript.pyannote[2003].start |
19472.59971875 |
transcript.pyannote[2003].end |
19473.15659375 |
transcript.pyannote[2004].speaker |
SPEAKER_22 |
transcript.pyannote[2004].start |
19473.25784375 |
transcript.pyannote[2004].end |
19476.07596875 |
transcript.pyannote[2005].speaker |
SPEAKER_22 |
transcript.pyannote[2005].start |
19476.29534375 |
transcript.pyannote[2005].end |
19485.44159375 |
transcript.pyannote[2006].speaker |
SPEAKER_22 |
transcript.pyannote[2006].start |
19485.89721875 |
transcript.pyannote[2006].end |
19501.75971875 |
transcript.pyannote[2007].speaker |
SPEAKER_22 |
transcript.pyannote[2007].start |
19502.36721875 |
transcript.pyannote[2007].end |
19504.59471875 |
transcript.pyannote[2008].speaker |
SPEAKER_22 |
transcript.pyannote[2008].start |
19504.86471875 |
transcript.pyannote[2008].end |
19505.37096875 |
transcript.pyannote[2009].speaker |
SPEAKER_22 |
transcript.pyannote[2009].start |
19505.43846875 |
transcript.pyannote[2009].end |
19507.98659375 |
transcript.pyannote[2010].speaker |
SPEAKER_22 |
transcript.pyannote[2010].start |
19509.13409375 |
transcript.pyannote[2010].end |
19515.00659375 |
transcript.pyannote[2011].speaker |
SPEAKER_22 |
transcript.pyannote[2011].start |
19515.42846875 |
transcript.pyannote[2011].end |
19527.08909375 |
transcript.pyannote[2012].speaker |
SPEAKER_22 |
transcript.pyannote[2012].start |
19527.46034375 |
transcript.pyannote[2012].end |
19528.21971875 |
transcript.pyannote[2013].speaker |
SPEAKER_17 |
transcript.pyannote[2013].start |
19531.94909375 |
transcript.pyannote[2013].end |
19532.70846875 |
transcript.pyannote[2014].speaker |
SPEAKER_11 |
transcript.pyannote[2014].start |
19533.97409375 |
transcript.pyannote[2014].end |
19536.82596875 |
transcript.pyannote[2015].speaker |
SPEAKER_11 |
transcript.pyannote[2015].start |
19536.91034375 |
transcript.pyannote[2015].end |
19539.40784375 |
transcript.pyannote[2016].speaker |
SPEAKER_11 |
transcript.pyannote[2016].start |
19539.88034375 |
transcript.pyannote[2016].end |
19547.52471875 |
transcript.pyannote[2017].speaker |
SPEAKER_11 |
transcript.pyannote[2017].start |
19547.98034375 |
transcript.pyannote[2017].end |
19551.03471875 |
transcript.pyannote[2018].speaker |
SPEAKER_11 |
transcript.pyannote[2018].start |
19551.33846875 |
transcript.pyannote[2018].end |
19554.81471875 |
transcript.pyannote[2019].speaker |
SPEAKER_11 |
transcript.pyannote[2019].start |
19554.96659375 |
transcript.pyannote[2019].end |
19555.52346875 |
transcript.pyannote[2020].speaker |
SPEAKER_11 |
transcript.pyannote[2020].start |
19555.92846875 |
transcript.pyannote[2020].end |
19557.21096875 |
transcript.pyannote[2021].speaker |
SPEAKER_11 |
transcript.pyannote[2021].start |
19557.36284375 |
transcript.pyannote[2021].end |
19603.02659375 |
transcript.pyannote[2022].speaker |
SPEAKER_11 |
transcript.pyannote[2022].start |
19603.49909375 |
transcript.pyannote[2022].end |
19640.42159375 |
transcript.pyannote[2023].speaker |
SPEAKER_17 |
transcript.pyannote[2023].start |
19642.48034375 |
transcript.pyannote[2023].end |
19644.23534375 |
transcript.pyannote[2024].speaker |
SPEAKER_08 |
transcript.pyannote[2024].start |
19644.48846875 |
transcript.pyannote[2024].end |
19651.57596875 |
transcript.pyannote[2025].speaker |
SPEAKER_17 |
transcript.pyannote[2025].start |
19657.63409375 |
transcript.pyannote[2025].end |
19658.51159375 |
transcript.pyannote[2026].speaker |
SPEAKER_22 |
transcript.pyannote[2026].start |
19660.38471875 |
transcript.pyannote[2026].end |
19673.32784375 |
transcript.pyannote[2027].speaker |
SPEAKER_22 |
transcript.pyannote[2027].start |
19673.74971875 |
transcript.pyannote[2027].end |
19674.55971875 |
transcript.pyannote[2028].speaker |
SPEAKER_22 |
transcript.pyannote[2028].start |
19674.93096875 |
transcript.pyannote[2028].end |
19681.49534375 |
transcript.pyannote[2029].speaker |
SPEAKER_08 |
transcript.pyannote[2029].start |
19681.49534375 |
transcript.pyannote[2029].end |
19706.85846875 |
transcript.pyannote[2030].speaker |
SPEAKER_08 |
transcript.pyannote[2030].start |
19706.87534375 |
transcript.pyannote[2030].end |
19711.04346875 |
transcript.pyannote[2031].speaker |
SPEAKER_22 |
transcript.pyannote[2031].start |
19711.04346875 |
transcript.pyannote[2031].end |
19713.65909375 |
transcript.pyannote[2032].speaker |
SPEAKER_22 |
transcript.pyannote[2032].start |
19717.96221875 |
transcript.pyannote[2032].end |
19717.97909375 |
transcript.pyannote[2033].speaker |
SPEAKER_17 |
transcript.pyannote[2033].start |
19717.97909375 |
transcript.pyannote[2033].end |
19719.19409375 |
transcript.pyannote[2034].speaker |
SPEAKER_17 |
transcript.pyannote[2034].start |
19720.99971875 |
transcript.pyannote[2034].end |
19721.28659375 |
transcript.pyannote[2035].speaker |
SPEAKER_17 |
transcript.pyannote[2035].start |
19721.59034375 |
transcript.pyannote[2035].end |
19722.18096875 |
transcript.pyannote[2036].speaker |
SPEAKER_17 |
transcript.pyannote[2036].start |
19723.64909375 |
transcript.pyannote[2036].end |
19725.13409375 |
transcript.pyannote[2037].speaker |
SPEAKER_17 |
transcript.pyannote[2037].start |
19727.07471875 |
transcript.pyannote[2037].end |
19728.72846875 |
transcript.pyannote[2038].speaker |
SPEAKER_05 |
transcript.pyannote[2038].start |
19749.56909375 |
transcript.pyannote[2038].end |
19750.34534375 |
transcript.pyannote[2039].speaker |
SPEAKER_05 |
transcript.pyannote[2039].start |
19751.27346875 |
transcript.pyannote[2039].end |
19752.45471875 |
transcript.pyannote[2040].speaker |
SPEAKER_18 |
transcript.pyannote[2040].start |
19752.45471875 |
transcript.pyannote[2040].end |
19753.75409375 |
transcript.pyannote[2041].speaker |
SPEAKER_18 |
transcript.pyannote[2041].start |
19755.18846875 |
transcript.pyannote[2041].end |
19756.13346875 |
transcript.pyannote[2042].speaker |
SPEAKER_05 |
transcript.pyannote[2042].start |
19786.72784375 |
transcript.pyannote[2042].end |
19789.32659375 |
transcript.pyannote[2043].speaker |
SPEAKER_18 |
transcript.pyannote[2043].start |
19789.98471875 |
transcript.pyannote[2043].end |
19790.03534375 |
transcript.pyannote[2044].speaker |
SPEAKER_18 |
transcript.pyannote[2044].start |
19790.05221875 |
transcript.pyannote[2044].end |
19794.06846875 |
transcript.pyannote[2045].speaker |
SPEAKER_18 |
transcript.pyannote[2045].start |
19795.70534375 |
transcript.pyannote[2045].end |
19798.03409375 |
transcript.pyannote[2046].speaker |
SPEAKER_19 |
transcript.pyannote[2046].start |
19842.01034375 |
transcript.pyannote[2046].end |
19842.31409375 |
transcript.pyannote[2047].speaker |
SPEAKER_18 |
transcript.pyannote[2047].start |
19903.45221875 |
transcript.pyannote[2047].end |
19903.58721875 |
transcript.pyannote[2048].speaker |
SPEAKER_18 |
transcript.pyannote[2048].start |
19903.60409375 |
transcript.pyannote[2048].end |
19903.62096875 |
transcript.pyannote[2049].speaker |
SPEAKER_18 |
transcript.pyannote[2049].start |
19903.63784375 |
transcript.pyannote[2049].end |
19904.29596875 |
transcript.pyannote[2050].speaker |
SPEAKER_18 |
transcript.pyannote[2050].start |
19915.34909375 |
transcript.pyannote[2050].end |
19915.39971875 |
transcript.pyannote[2051].speaker |
SPEAKER_18 |
transcript.pyannote[2051].start |
19916.53034375 |
transcript.pyannote[2051].end |
19917.05346875 |
transcript.pyannote[2052].speaker |
SPEAKER_18 |
transcript.pyannote[2052].start |
19918.40346875 |
transcript.pyannote[2052].end |
19919.02784375 |
transcript.pyannote[2053].speaker |
SPEAKER_18 |
transcript.pyannote[2053].start |
19920.31034375 |
transcript.pyannote[2053].end |
19920.76596875 |
transcript.pyannote[2054].speaker |
SPEAKER_18 |
transcript.pyannote[2054].start |
19920.96846875 |
transcript.pyannote[2054].end |
19921.40721875 |
transcript.pyannote[2055].speaker |
SPEAKER_14 |
transcript.pyannote[2055].start |
20003.09909375 |
transcript.pyannote[2055].end |
20004.39846875 |
transcript.pyannote[2056].speaker |
SPEAKER_14 |
transcript.pyannote[2056].start |
20005.66409375 |
transcript.pyannote[2056].end |
20006.54159375 |
transcript.pyannote[2057].speaker |
SPEAKER_14 |
transcript.pyannote[2057].start |
20006.89596875 |
transcript.pyannote[2057].end |
20007.03096875 |
transcript.pyannote[2058].speaker |
SPEAKER_18 |
transcript.pyannote[2058].start |
20007.03096875 |
transcript.pyannote[2058].end |
20007.23346875 |
transcript.pyannote[2059].speaker |
SPEAKER_14 |
transcript.pyannote[2059].start |
20007.23346875 |
transcript.pyannote[2059].end |
20007.31784375 |
transcript.pyannote[2060].speaker |
SPEAKER_18 |
transcript.pyannote[2060].start |
20007.31784375 |
transcript.pyannote[2060].end |
20007.60471875 |
transcript.pyannote[2061].speaker |
SPEAKER_14 |
transcript.pyannote[2061].start |
20007.60471875 |
transcript.pyannote[2061].end |
20007.97596875 |
transcript.pyannote[2062].speaker |
SPEAKER_18 |
transcript.pyannote[2062].start |
20007.97596875 |
transcript.pyannote[2062].end |
20008.43159375 |
transcript.pyannote[2063].speaker |
SPEAKER_18 |
transcript.pyannote[2063].start |
20064.81096875 |
transcript.pyannote[2063].end |
20065.03034375 |
transcript.pyannote[2064].speaker |
SPEAKER_18 |
transcript.pyannote[2064].start |
20159.56409375 |
transcript.pyannote[2064].end |
20160.54284375 |
transcript.pyannote[2065].speaker |
SPEAKER_18 |
transcript.pyannote[2065].start |
20160.72846875 |
transcript.pyannote[2065].end |
20162.02784375 |
transcript.pyannote[2066].speaker |
SPEAKER_18 |
transcript.pyannote[2066].start |
20221.32659375 |
transcript.pyannote[2066].end |
20222.59221875 |
transcript.pyannote[2067].speaker |
SPEAKER_18 |
transcript.pyannote[2067].start |
20224.56659375 |
transcript.pyannote[2067].end |
20224.58346875 |
transcript.pyannote[2068].speaker |
SPEAKER_18 |
transcript.pyannote[2068].start |
20224.66784375 |
transcript.pyannote[2068].end |
20224.80284375 |
transcript.pyannote[2069].speaker |
SPEAKER_18 |
transcript.pyannote[2069].start |
20224.85346875 |
transcript.pyannote[2069].end |
20224.87034375 |
transcript.pyannote[2070].speaker |
SPEAKER_18 |
transcript.pyannote[2070].start |
20224.98846875 |
transcript.pyannote[2070].end |
20236.10909375 |
transcript.pyannote[2071].speaker |
SPEAKER_11 |
transcript.pyannote[2071].start |
20226.40596875 |
transcript.pyannote[2071].end |
20226.50721875 |
transcript.pyannote[2072].speaker |
SPEAKER_11 |
transcript.pyannote[2072].start |
20227.97534375 |
transcript.pyannote[2072].end |
20228.09346875 |
transcript.pyannote[2073].speaker |
SPEAKER_19 |
transcript.pyannote[2073].start |
20234.64096875 |
transcript.pyannote[2073].end |
20235.60284375 |
transcript.pyannote[2074].speaker |
SPEAKER_18 |
transcript.pyannote[2074].start |
20236.88534375 |
transcript.pyannote[2074].end |
20239.38284375 |
transcript.pyannote[2075].speaker |
SPEAKER_18 |
transcript.pyannote[2075].start |
20254.01346875 |
transcript.pyannote[2075].end |
20254.03034375 |
transcript.pyannote[2076].speaker |
SPEAKER_18 |
transcript.pyannote[2076].start |
20254.50284375 |
transcript.pyannote[2076].end |
20254.58721875 |
transcript.pyannote[2077].speaker |
SPEAKER_18 |
transcript.pyannote[2077].start |
20254.97534375 |
transcript.pyannote[2077].end |
20255.02596875 |
transcript.pyannote[2078].speaker |
SPEAKER_18 |
transcript.pyannote[2078].start |
20257.33784375 |
transcript.pyannote[2078].end |
20258.08034375 |
transcript.pyannote[2079].speaker |
SPEAKER_19 |
transcript.pyannote[2079].start |
20268.30659375 |
transcript.pyannote[2079].end |
20268.44159375 |
transcript.pyannote[2080].speaker |
SPEAKER_18 |
transcript.pyannote[2080].start |
20292.94409375 |
transcript.pyannote[2080].end |
20293.34909375 |
transcript.pyannote[2081].speaker |
SPEAKER_19 |
transcript.pyannote[2081].start |
20293.34909375 |
transcript.pyannote[2081].end |
20293.36596875 |
transcript.pyannote[2082].speaker |
SPEAKER_18 |
transcript.pyannote[2082].start |
20293.36596875 |
transcript.pyannote[2082].end |
20293.48409375 |
transcript.pyannote[2083].speaker |
SPEAKER_19 |
transcript.pyannote[2083].start |
20293.48409375 |
transcript.pyannote[2083].end |
20293.50096875 |
transcript.pyannote[2084].speaker |
SPEAKER_18 |
transcript.pyannote[2084].start |
20293.50096875 |
transcript.pyannote[2084].end |
20293.95659375 |
transcript.pyannote[2085].speaker |
SPEAKER_18 |
transcript.pyannote[2085].start |
20293.97346875 |
transcript.pyannote[2085].end |
20294.02409375 |
transcript.pyannote[2086].speaker |
SPEAKER_19 |
transcript.pyannote[2086].start |
20295.94784375 |
transcript.pyannote[2086].end |
20296.01534375 |
transcript.pyannote[2087].speaker |
SPEAKER_18 |
transcript.pyannote[2087].start |
20296.01534375 |
transcript.pyannote[2087].end |
20296.03221875 |
transcript.pyannote[2088].speaker |
SPEAKER_18 |
transcript.pyannote[2088].start |
20351.97284375 |
transcript.pyannote[2088].end |
20354.80784375 |
transcript.pyannote[2089].speaker |
SPEAKER_18 |
transcript.pyannote[2089].start |
20355.49971875 |
transcript.pyannote[2089].end |
20356.36034375 |
transcript.pyannote[2090].speaker |
SPEAKER_18 |
transcript.pyannote[2090].start |
20379.31034375 |
transcript.pyannote[2090].end |
20379.44534375 |
transcript.pyannote[2091].speaker |
SPEAKER_18 |
transcript.pyannote[2091].start |
20379.69846875 |
transcript.pyannote[2091].end |
20379.83346875 |
transcript.pyannote[2092].speaker |
SPEAKER_18 |
transcript.pyannote[2092].start |
20379.96846875 |
transcript.pyannote[2092].end |
20380.12034375 |
transcript.pyannote[2093].speaker |
SPEAKER_18 |
transcript.pyannote[2093].start |
20380.39034375 |
transcript.pyannote[2093].end |
20387.03909375 |
transcript.pyannote[2094].speaker |
SPEAKER_18 |
transcript.pyannote[2094].start |
20470.28346875 |
transcript.pyannote[2094].end |
20470.41846875 |
transcript.pyannote[2095].speaker |
SPEAKER_23 |
transcript.pyannote[2095].start |
20486.60159375 |
transcript.pyannote[2095].end |
20487.29346875 |
transcript.pyannote[2096].speaker |
SPEAKER_17 |
transcript.pyannote[2096].start |
20487.29346875 |
transcript.pyannote[2096].end |
20493.08159375 |
transcript.pyannote[2097].speaker |
SPEAKER_19 |
transcript.pyannote[2097].start |
20487.68159375 |
transcript.pyannote[2097].end |
20487.79971875 |
transcript.pyannote[2098].speaker |
SPEAKER_17 |
transcript.pyannote[2098].start |
20493.70596875 |
transcript.pyannote[2098].end |
20505.11346875 |
transcript.pyannote[2099].speaker |
SPEAKER_17 |
transcript.pyannote[2099].start |
20505.45096875 |
transcript.pyannote[2099].end |
20507.13846875 |
transcript.pyannote[2100].speaker |
SPEAKER_19 |
transcript.pyannote[2100].start |
20507.99909375 |
transcript.pyannote[2100].end |
20508.74159375 |
transcript.pyannote[2101].speaker |
SPEAKER_19 |
transcript.pyannote[2101].start |
20508.77534375 |
transcript.pyannote[2101].end |
20508.89346875 |
transcript.pyannote[2102].speaker |
SPEAKER_19 |
transcript.pyannote[2102].start |
20508.97784375 |
transcript.pyannote[2102].end |
20509.02846875 |
transcript.pyannote[2103].speaker |
SPEAKER_19 |
transcript.pyannote[2103].start |
20509.14659375 |
transcript.pyannote[2103].end |
20509.56846875 |
transcript.pyannote[2104].speaker |
SPEAKER_17 |
transcript.pyannote[2104].start |
20510.00721875 |
transcript.pyannote[2104].end |
20512.08284375 |
transcript.pyannote[2105].speaker |
SPEAKER_19 |
transcript.pyannote[2105].start |
20511.72846875 |
transcript.pyannote[2105].end |
20512.03221875 |
transcript.pyannote[2106].speaker |
SPEAKER_19 |
transcript.pyannote[2106].start |
20512.08284375 |
transcript.pyannote[2106].end |
20512.13346875 |
transcript.pyannote[2107].speaker |
SPEAKER_19 |
transcript.pyannote[2107].start |
20512.97721875 |
transcript.pyannote[2107].end |
20512.99409375 |
transcript.pyannote[2108].speaker |
SPEAKER_17 |
transcript.pyannote[2108].start |
20513.65221875 |
transcript.pyannote[2108].end |
20519.54159375 |
transcript.pyannote[2109].speaker |
SPEAKER_17 |
transcript.pyannote[2109].start |
20519.76096875 |
transcript.pyannote[2109].end |
20530.34159375 |
transcript.pyannote[2110].speaker |
SPEAKER_17 |
transcript.pyannote[2110].start |
20531.26971875 |
transcript.pyannote[2110].end |
20531.59034375 |
transcript.pyannote[2111].speaker |
SPEAKER_08 |
transcript.pyannote[2111].start |
20532.09659375 |
transcript.pyannote[2111].end |
20537.85096875 |
transcript.pyannote[2112].speaker |
SPEAKER_17 |
transcript.pyannote[2112].start |
20534.96534375 |
transcript.pyannote[2112].end |
20536.04534375 |
transcript.pyannote[2113].speaker |
SPEAKER_17 |
transcript.pyannote[2113].start |
20537.53034375 |
transcript.pyannote[2113].end |
20540.17971875 |
transcript.pyannote[2114].speaker |
SPEAKER_22 |
transcript.pyannote[2114].start |
20538.72846875 |
transcript.pyannote[2114].end |
20538.81284375 |
transcript.pyannote[2115].speaker |
SPEAKER_08 |
transcript.pyannote[2115].start |
20538.81284375 |
transcript.pyannote[2115].end |
20539.55534375 |
transcript.pyannote[2116].speaker |
SPEAKER_04 |
transcript.pyannote[2116].start |
20539.55534375 |
transcript.pyannote[2116].end |
20539.60596875 |
transcript.pyannote[2117].speaker |
SPEAKER_22 |
transcript.pyannote[2117].start |
20539.60596875 |
transcript.pyannote[2117].end |
20539.89284375 |
transcript.pyannote[2118].speaker |
SPEAKER_17 |
transcript.pyannote[2118].start |
20540.77034375 |
transcript.pyannote[2118].end |
20540.92221875 |
transcript.pyannote[2119].speaker |
SPEAKER_04 |
transcript.pyannote[2119].start |
20541.69846875 |
transcript.pyannote[2119].end |
20549.03909375 |
transcript.pyannote[2120].speaker |
SPEAKER_17 |
transcript.pyannote[2120].start |
20552.43096875 |
transcript.pyannote[2120].end |
20553.96659375 |
transcript.pyannote[2121].speaker |
SPEAKER_17 |
transcript.pyannote[2121].start |
20554.38846875 |
transcript.pyannote[2121].end |
20558.13471875 |
transcript.pyannote[2122].speaker |
SPEAKER_17 |
transcript.pyannote[2122].start |
20558.50596875 |
transcript.pyannote[2122].end |
20562.47159375 |
transcript.pyannote[2123].speaker |
SPEAKER_17 |
transcript.pyannote[2123].start |
20562.65721875 |
transcript.pyannote[2123].end |
20563.90596875 |
transcript.pyannote[2124].speaker |
SPEAKER_17 |
transcript.pyannote[2124].start |
20564.81721875 |
transcript.pyannote[2124].end |
20565.74534375 |
transcript.pyannote[2125].speaker |
SPEAKER_17 |
transcript.pyannote[2125].start |
20566.36971875 |
transcript.pyannote[2125].end |
20568.46221875 |
transcript.pyannote[2126].speaker |
SPEAKER_17 |
transcript.pyannote[2126].start |
20569.49159375 |
transcript.pyannote[2126].end |
20570.40284375 |
transcript.pyannote[2127].speaker |
SPEAKER_17 |
transcript.pyannote[2127].start |
20570.90909375 |
transcript.pyannote[2127].end |
20571.70221875 |
transcript.pyannote[2128].speaker |
SPEAKER_00 |
transcript.pyannote[2128].start |
20571.14534375 |
transcript.pyannote[2128].end |
20571.46596875 |
transcript.pyannote[2129].speaker |
SPEAKER_17 |
transcript.pyannote[2129].start |
20572.09034375 |
transcript.pyannote[2129].end |
20572.69784375 |
transcript.pyannote[2130].speaker |
SPEAKER_17 |
transcript.pyannote[2130].start |
20573.30534375 |
transcript.pyannote[2130].end |
20579.02596875 |
transcript.pyannote[2131].speaker |
SPEAKER_00 |
transcript.pyannote[2131].start |
20578.45221875 |
transcript.pyannote[2131].end |
20578.62096875 |
transcript.pyannote[2132].speaker |
SPEAKER_22 |
transcript.pyannote[2132].start |
20578.62096875 |
transcript.pyannote[2132].end |
20578.95846875 |
transcript.pyannote[2133].speaker |
SPEAKER_22 |
transcript.pyannote[2133].start |
20579.02596875 |
transcript.pyannote[2133].end |
20579.86971875 |
transcript.pyannote[2134].speaker |
SPEAKER_17 |
transcript.pyannote[2134].start |
20580.79784375 |
transcript.pyannote[2134].end |
20580.83159375 |
transcript.pyannote[2135].speaker |
SPEAKER_22 |
transcript.pyannote[2135].start |
20580.83159375 |
transcript.pyannote[2135].end |
20581.03409375 |
transcript.pyannote[2136].speaker |
SPEAKER_22 |
transcript.pyannote[2136].start |
20581.64159375 |
transcript.pyannote[2136].end |
20596.03596875 |
transcript.pyannote[2137].speaker |
SPEAKER_17 |
transcript.pyannote[2137].start |
20597.20034375 |
transcript.pyannote[2137].end |
20599.17471875 |
transcript.pyannote[2138].speaker |
SPEAKER_22 |
transcript.pyannote[2138].start |
20597.55471875 |
transcript.pyannote[2138].end |
20597.62221875 |
transcript.pyannote[2139].speaker |
SPEAKER_22 |
transcript.pyannote[2139].start |
20599.17471875 |
transcript.pyannote[2139].end |
20599.95096875 |
transcript.pyannote[2140].speaker |
SPEAKER_17 |
transcript.pyannote[2140].start |
20599.95096875 |
transcript.pyannote[2140].end |
20599.96784375 |
transcript.pyannote[2141].speaker |
SPEAKER_17 |
transcript.pyannote[2141].start |
20602.48221875 |
transcript.pyannote[2141].end |
20616.45471875 |
transcript.pyannote[2142].speaker |
SPEAKER_17 |
transcript.pyannote[2142].start |
20624.20034375 |
transcript.pyannote[2142].end |
20625.85409375 |
transcript.pyannote[2143].speaker |
SPEAKER_17 |
transcript.pyannote[2143].start |
20627.60909375 |
transcript.pyannote[2143].end |
20628.94221875 |
transcript.pyannote[2144].speaker |
SPEAKER_19 |
transcript.pyannote[2144].start |
20628.95909375 |
transcript.pyannote[2144].end |
20629.07721875 |
transcript.pyannote[2145].speaker |
SPEAKER_17 |
transcript.pyannote[2145].start |
20630.35971875 |
transcript.pyannote[2145].end |
20630.81534375 |
transcript.pyannote[2146].speaker |
SPEAKER_17 |
transcript.pyannote[2146].start |
20634.37596875 |
transcript.pyannote[2146].end |
20640.99096875 |
transcript.pyannote[2147].speaker |
SPEAKER_21 |
transcript.pyannote[2147].start |
20642.20596875 |
transcript.pyannote[2147].end |
20644.04534375 |
transcript.pyannote[2148].speaker |
SPEAKER_21 |
transcript.pyannote[2148].start |
20644.75409375 |
transcript.pyannote[2148].end |
20646.03659375 |
transcript.pyannote[2149].speaker |
SPEAKER_21 |
transcript.pyannote[2149].start |
20646.23909375 |
transcript.pyannote[2149].end |
20646.40784375 |
transcript.pyannote[2150].speaker |
SPEAKER_19 |
transcript.pyannote[2150].start |
20646.40784375 |
transcript.pyannote[2150].end |
20647.28534375 |
transcript.pyannote[2151].speaker |
SPEAKER_19 |
transcript.pyannote[2151].start |
20647.74096875 |
transcript.pyannote[2151].end |
20647.77471875 |
transcript.pyannote[2152].speaker |
SPEAKER_17 |
transcript.pyannote[2152].start |
20647.77471875 |
transcript.pyannote[2152].end |
20649.14159375 |
transcript.pyannote[2153].speaker |
SPEAKER_19 |
transcript.pyannote[2153].start |
20648.80409375 |
transcript.pyannote[2153].end |
20648.98971875 |
transcript.pyannote[2154].speaker |
SPEAKER_21 |
transcript.pyannote[2154].start |
20648.98971875 |
transcript.pyannote[2154].end |
20649.04034375 |
transcript.pyannote[2155].speaker |
SPEAKER_19 |
transcript.pyannote[2155].start |
20649.04034375 |
transcript.pyannote[2155].end |
20649.07409375 |
transcript.pyannote[2156].speaker |
SPEAKER_19 |
transcript.pyannote[2156].start |
20649.14159375 |
transcript.pyannote[2156].end |
20649.52971875 |
transcript.pyannote[2157].speaker |
SPEAKER_17 |
transcript.pyannote[2157].start |
20649.52971875 |
transcript.pyannote[2157].end |
20657.17409375 |
transcript.pyannote[2158].speaker |
SPEAKER_19 |
transcript.pyannote[2158].start |
20649.73221875 |
transcript.pyannote[2158].end |
20649.74909375 |
transcript.pyannote[2159].speaker |
SPEAKER_19 |
transcript.pyannote[2159].start |
20649.81659375 |
transcript.pyannote[2159].end |
20649.85034375 |
transcript.pyannote[2160].speaker |
SPEAKER_17 |
transcript.pyannote[2160].start |
20657.91659375 |
transcript.pyannote[2160].end |
20658.23721875 |
transcript.pyannote[2161].speaker |
SPEAKER_17 |
transcript.pyannote[2161].start |
20659.65471875 |
transcript.pyannote[2161].end |
20665.32471875 |
transcript.pyannote[2162].speaker |
SPEAKER_06 |
transcript.pyannote[2162].start |
20664.83534375 |
transcript.pyannote[2162].end |
20667.63659375 |
transcript.pyannote[2163].speaker |
SPEAKER_17 |
transcript.pyannote[2163].start |
20666.23596875 |
transcript.pyannote[2163].end |
20666.99534375 |
transcript.pyannote[2164].speaker |
SPEAKER_17 |
transcript.pyannote[2164].start |
20667.63659375 |
transcript.pyannote[2164].end |
20667.78846875 |
transcript.pyannote[2165].speaker |
SPEAKER_17 |
transcript.pyannote[2165].start |
20667.94034375 |
transcript.pyannote[2165].end |
20669.03721875 |
transcript.pyannote[2166].speaker |
SPEAKER_21 |
transcript.pyannote[2166].start |
20669.03721875 |
transcript.pyannote[2166].end |
20669.96534375 |
transcript.pyannote[2167].speaker |
SPEAKER_17 |
transcript.pyannote[2167].start |
20669.96534375 |
transcript.pyannote[2167].end |
20671.07909375 |
transcript.pyannote[2168].speaker |
SPEAKER_21 |
transcript.pyannote[2168].start |
20671.07909375 |
transcript.pyannote[2168].end |
20671.28159375 |
transcript.pyannote[2169].speaker |
SPEAKER_17 |
transcript.pyannote[2169].start |
20671.28159375 |
transcript.pyannote[2169].end |
20671.70346875 |
transcript.pyannote[2170].speaker |
SPEAKER_17 |
transcript.pyannote[2170].start |
20671.87221875 |
transcript.pyannote[2170].end |
20672.10846875 |
transcript.pyannote[2171].speaker |
SPEAKER_19 |
transcript.pyannote[2171].start |
20672.10846875 |
transcript.pyannote[2171].end |
20672.17596875 |
transcript.pyannote[2172].speaker |
SPEAKER_17 |
transcript.pyannote[2172].start |
20672.17596875 |
transcript.pyannote[2172].end |
20672.20971875 |
transcript.pyannote[2173].speaker |
SPEAKER_19 |
transcript.pyannote[2173].start |
20672.20971875 |
transcript.pyannote[2173].end |
20673.34034375 |
transcript.pyannote[2174].speaker |
SPEAKER_17 |
transcript.pyannote[2174].start |
20672.27721875 |
transcript.pyannote[2174].end |
20672.34471875 |
transcript.pyannote[2175].speaker |
SPEAKER_21 |
transcript.pyannote[2175].start |
20672.34471875 |
transcript.pyannote[2175].end |
20672.78346875 |
transcript.pyannote[2176].speaker |
SPEAKER_17 |
transcript.pyannote[2176].start |
20673.79596875 |
transcript.pyannote[2176].end |
20679.16221875 |
transcript.pyannote[2177].speaker |
SPEAKER_19 |
transcript.pyannote[2177].start |
20673.84659375 |
transcript.pyannote[2177].end |
20674.89284375 |
transcript.pyannote[2178].speaker |
SPEAKER_21 |
transcript.pyannote[2178].start |
20674.89284375 |
transcript.pyannote[2178].end |
20676.68159375 |
transcript.pyannote[2179].speaker |
SPEAKER_19 |
transcript.pyannote[2179].start |
20676.68159375 |
transcript.pyannote[2179].end |
20677.91346875 |
transcript.pyannote[2180].speaker |
SPEAKER_21 |
transcript.pyannote[2180].start |
20677.91346875 |
transcript.pyannote[2180].end |
20677.94721875 |
transcript.pyannote[2181].speaker |
SPEAKER_19 |
transcript.pyannote[2181].start |
20677.94721875 |
transcript.pyannote[2181].end |
20678.52096875 |
transcript.pyannote[2182].speaker |
SPEAKER_21 |
transcript.pyannote[2182].start |
20678.52096875 |
transcript.pyannote[2182].end |
20678.82471875 |
transcript.pyannote[2183].speaker |
SPEAKER_19 |
transcript.pyannote[2183].start |
20678.82471875 |
transcript.pyannote[2183].end |
20678.97659375 |
transcript.pyannote[2184].speaker |
SPEAKER_19 |
transcript.pyannote[2184].start |
20679.16221875 |
transcript.pyannote[2184].end |
20679.29721875 |
transcript.pyannote[2185].speaker |
SPEAKER_17 |
transcript.pyannote[2185].start |
20679.29721875 |
transcript.pyannote[2185].end |
20679.31409375 |
transcript.pyannote[2186].speaker |
SPEAKER_21 |
transcript.pyannote[2186].start |
20679.31409375 |
transcript.pyannote[2186].end |
20683.11096875 |
transcript.pyannote[2187].speaker |
SPEAKER_17 |
transcript.pyannote[2187].start |
20679.34784375 |
transcript.pyannote[2187].end |
20679.80346875 |
transcript.pyannote[2188].speaker |
SPEAKER_19 |
transcript.pyannote[2188].start |
20679.80346875 |
transcript.pyannote[2188].end |
20679.83721875 |
transcript.pyannote[2189].speaker |
SPEAKER_09 |
transcript.pyannote[2189].start |
20682.11534375 |
transcript.pyannote[2189].end |
20682.13221875 |
transcript.pyannote[2190].speaker |
SPEAKER_08 |
transcript.pyannote[2190].start |
20682.13221875 |
transcript.pyannote[2190].end |
20682.52034375 |
transcript.pyannote[2191].speaker |
SPEAKER_09 |
transcript.pyannote[2191].start |
20682.52034375 |
transcript.pyannote[2191].end |
20688.59534375 |
transcript.pyannote[2192].speaker |
SPEAKER_17 |
transcript.pyannote[2192].start |
20686.99221875 |
transcript.pyannote[2192].end |
20701.23471875 |
transcript.pyannote[2193].speaker |
SPEAKER_19 |
transcript.pyannote[2193].start |
20723.08784375 |
transcript.pyannote[2193].end |
20723.61096875 |
transcript.pyannote[2194].speaker |
SPEAKER_17 |
transcript.pyannote[2194].start |
20723.61096875 |
transcript.pyannote[2194].end |
20723.74596875 |
transcript.pyannote[2195].speaker |
SPEAKER_17 |
transcript.pyannote[2195].start |
20725.26471875 |
transcript.pyannote[2195].end |
20725.48409375 |
transcript.pyannote[2196].speaker |
SPEAKER_14 |
transcript.pyannote[2196].start |
20726.78346875 |
transcript.pyannote[2196].end |
20728.62284375 |
transcript.pyannote[2197].speaker |
SPEAKER_21 |
transcript.pyannote[2197].start |
20728.62284375 |
transcript.pyannote[2197].end |
20730.49596875 |
transcript.pyannote[2198].speaker |
SPEAKER_19 |
transcript.pyannote[2198].start |
20745.24471875 |
transcript.pyannote[2198].end |
20745.29534375 |
transcript.pyannote[2199].speaker |
SPEAKER_06 |
transcript.pyannote[2199].start |
20745.29534375 |
transcript.pyannote[2199].end |
20745.34596875 |
transcript.pyannote[2200].speaker |
SPEAKER_19 |
transcript.pyannote[2200].start |
20745.34596875 |
transcript.pyannote[2200].end |
20745.64971875 |
transcript.pyannote[2201].speaker |
SPEAKER_06 |
transcript.pyannote[2201].start |
20745.64971875 |
transcript.pyannote[2201].end |
20746.71284375 |
transcript.pyannote[2202].speaker |
SPEAKER_19 |
transcript.pyannote[2202].start |
20746.00409375 |
transcript.pyannote[2202].end |
20746.67909375 |
transcript.pyannote[2203].speaker |
SPEAKER_18 |
transcript.pyannote[2203].start |
20752.58534375 |
transcript.pyannote[2203].end |
20752.95659375 |
transcript.pyannote[2204].speaker |
SPEAKER_18 |
transcript.pyannote[2204].start |
20769.88221875 |
transcript.pyannote[2204].end |
20773.13909375 |
transcript.pyannote[2205].speaker |
SPEAKER_24 |
transcript.pyannote[2205].start |
20856.73784375 |
transcript.pyannote[2205].end |
20859.23534375 |
transcript.pyannote[2206].speaker |
SPEAKER_18 |
transcript.pyannote[2206].start |
20862.12096875 |
transcript.pyannote[2206].end |
20862.17159375 |
transcript.pyannote[2207].speaker |
SPEAKER_18 |
transcript.pyannote[2207].start |
20862.49221875 |
transcript.pyannote[2207].end |
20863.92659375 |
transcript.pyannote[2208].speaker |
SPEAKER_18 |
transcript.pyannote[2208].start |
20864.14596875 |
transcript.pyannote[2208].end |
20865.25971875 |
transcript.pyannote[2209].speaker |
SPEAKER_04 |
transcript.pyannote[2209].start |
20868.88784375 |
transcript.pyannote[2209].end |
20871.57096875 |
transcript.pyannote[2210].speaker |
SPEAKER_04 |
transcript.pyannote[2210].start |
20871.60471875 |
transcript.pyannote[2210].end |
20871.67221875 |
transcript.pyannote[2211].speaker |
SPEAKER_06 |
transcript.pyannote[2211].start |
20871.67221875 |
transcript.pyannote[2211].end |
20872.63409375 |
transcript.pyannote[2212].speaker |
SPEAKER_15 |
transcript.pyannote[2212].start |
20873.44409375 |
transcript.pyannote[2212].end |
20874.50721875 |
transcript.pyannote[2213].speaker |
SPEAKER_08 |
transcript.pyannote[2213].start |
20874.74346875 |
transcript.pyannote[2213].end |
20877.05534375 |
transcript.pyannote[2214].speaker |
SPEAKER_10 |
transcript.pyannote[2214].start |
20875.62096875 |
transcript.pyannote[2214].end |
20875.97534375 |
transcript.pyannote[2215].speaker |
SPEAKER_10 |
transcript.pyannote[2215].start |
20877.05534375 |
transcript.pyannote[2215].end |
20877.66284375 |
transcript.pyannote[2216].speaker |
SPEAKER_08 |
transcript.pyannote[2216].start |
20877.07221875 |
transcript.pyannote[2216].end |
20877.59534375 |
transcript.pyannote[2217].speaker |
SPEAKER_08 |
transcript.pyannote[2217].start |
20877.66284375 |
transcript.pyannote[2217].end |
20879.02971875 |
transcript.pyannote[2218].speaker |
SPEAKER_10 |
transcript.pyannote[2218].start |
20879.02971875 |
transcript.pyannote[2218].end |
20887.41659375 |
transcript.pyannote[2219].speaker |
SPEAKER_08 |
transcript.pyannote[2219].start |
20879.16471875 |
transcript.pyannote[2219].end |
20879.68784375 |
transcript.pyannote[2220].speaker |
SPEAKER_08 |
transcript.pyannote[2220].start |
20884.24409375 |
transcript.pyannote[2220].end |
20884.44659375 |
transcript.pyannote[2221].speaker |
SPEAKER_08 |
transcript.pyannote[2221].start |
20887.41659375 |
transcript.pyannote[2221].end |
20887.55159375 |
transcript.pyannote[2222].speaker |
SPEAKER_10 |
transcript.pyannote[2222].start |
20887.68659375 |
transcript.pyannote[2222].end |
20888.74971875 |
transcript.pyannote[2223].speaker |
SPEAKER_04 |
transcript.pyannote[2223].start |
20894.48721875 |
transcript.pyannote[2223].end |
20897.01846875 |
transcript.pyannote[2224].speaker |
SPEAKER_19 |
transcript.pyannote[2224].start |
20895.46596875 |
transcript.pyannote[2224].end |
20896.02284375 |
transcript.pyannote[2225].speaker |
SPEAKER_19 |
transcript.pyannote[2225].start |
20896.37721875 |
transcript.pyannote[2225].end |
20896.66409375 |
transcript.pyannote[2226].speaker |
SPEAKER_04 |
transcript.pyannote[2226].start |
20897.32221875 |
transcript.pyannote[2226].end |
20899.21221875 |
transcript.pyannote[2227].speaker |
SPEAKER_04 |
transcript.pyannote[2227].start |
20900.62971875 |
transcript.pyannote[2227].end |
20900.96721875 |
transcript.pyannote[2228].speaker |
SPEAKER_18 |
transcript.pyannote[2228].start |
20900.96721875 |
transcript.pyannote[2228].end |
20901.01784375 |
transcript.pyannote[2229].speaker |
SPEAKER_04 |
transcript.pyannote[2229].start |
20901.96284375 |
transcript.pyannote[2229].end |
20901.99659375 |
transcript.pyannote[2230].speaker |
SPEAKER_18 |
transcript.pyannote[2230].start |
20901.99659375 |
transcript.pyannote[2230].end |
20902.01346875 |
transcript.pyannote[2231].speaker |
SPEAKER_04 |
transcript.pyannote[2231].start |
20902.01346875 |
transcript.pyannote[2231].end |
20902.06409375 |
transcript.pyannote[2232].speaker |
SPEAKER_19 |
transcript.pyannote[2232].start |
20902.06409375 |
transcript.pyannote[2232].end |
20902.16534375 |
transcript.pyannote[2233].speaker |
SPEAKER_04 |
transcript.pyannote[2233].start |
20902.16534375 |
transcript.pyannote[2233].end |
20902.80659375 |
transcript.pyannote[2234].speaker |
SPEAKER_19 |
transcript.pyannote[2234].start |
20916.10409375 |
transcript.pyannote[2234].end |
20916.18846875 |
transcript.pyannote[2235].speaker |
SPEAKER_06 |
transcript.pyannote[2235].start |
20916.18846875 |
transcript.pyannote[2235].end |
20916.23909375 |
transcript.pyannote[2236].speaker |
SPEAKER_19 |
transcript.pyannote[2236].start |
20916.23909375 |
transcript.pyannote[2236].end |
20916.59346875 |
transcript.pyannote[2237].speaker |
SPEAKER_19 |
transcript.pyannote[2237].start |
20918.71971875 |
transcript.pyannote[2237].end |
20920.49159375 |
transcript.pyannote[2238].speaker |
SPEAKER_19 |
transcript.pyannote[2238].start |
20920.60971875 |
transcript.pyannote[2238].end |
20920.64346875 |
transcript.pyannote[2239].speaker |
SPEAKER_06 |
transcript.pyannote[2239].start |
20920.64346875 |
transcript.pyannote[2239].end |
20923.93409375 |
transcript.pyannote[2240].speaker |
SPEAKER_19 |
transcript.pyannote[2240].start |
20920.66034375 |
transcript.pyannote[2240].end |
20920.67721875 |
transcript.pyannote[2241].speaker |
SPEAKER_06 |
transcript.pyannote[2241].start |
20923.95096875 |
transcript.pyannote[2241].end |
20924.03534375 |
transcript.pyannote[2242].speaker |
SPEAKER_06 |
transcript.pyannote[2242].start |
20924.64284375 |
transcript.pyannote[2242].end |
20925.43596875 |
transcript.pyannote[2243].speaker |
SPEAKER_06 |
transcript.pyannote[2243].start |
20926.75221875 |
transcript.pyannote[2243].end |
20927.68034375 |
transcript.pyannote[2244].speaker |
SPEAKER_18 |
transcript.pyannote[2244].start |
20927.68034375 |
transcript.pyannote[2244].end |
20928.03471875 |
transcript.pyannote[2245].speaker |
SPEAKER_18 |
transcript.pyannote[2245].start |
20928.35534375 |
transcript.pyannote[2245].end |
20929.03034375 |
transcript.pyannote[2246].speaker |
SPEAKER_06 |
transcript.pyannote[2246].start |
20937.77159375 |
transcript.pyannote[2246].end |
20939.79659375 |
transcript.pyannote[2247].speaker |
SPEAKER_06 |
transcript.pyannote[2247].start |
20939.91471875 |
transcript.pyannote[2247].end |
20941.80471875 |
transcript.pyannote[2248].speaker |
SPEAKER_06 |
transcript.pyannote[2248].start |
20944.79159375 |
transcript.pyannote[2248].end |
20948.09909375 |
transcript.pyannote[2249].speaker |
SPEAKER_18 |
transcript.pyannote[2249].start |
20948.97659375 |
transcript.pyannote[2249].end |
20949.88784375 |
transcript.pyannote[2250].speaker |
SPEAKER_18 |
transcript.pyannote[2250].start |
20949.97221875 |
transcript.pyannote[2250].end |
20950.02284375 |
transcript.pyannote[2251].speaker |
SPEAKER_18 |
transcript.pyannote[2251].start |
20952.13221875 |
transcript.pyannote[2251].end |
20958.67971875 |
transcript.pyannote[2252].speaker |
SPEAKER_20 |
transcript.pyannote[2252].start |
20952.57096875 |
transcript.pyannote[2252].end |
20954.96721875 |
transcript.pyannote[2253].speaker |
SPEAKER_21 |
transcript.pyannote[2253].start |
20954.96721875 |
transcript.pyannote[2253].end |
20955.89534375 |
transcript.pyannote[2254].speaker |
SPEAKER_18 |
transcript.pyannote[2254].start |
20958.71346875 |
transcript.pyannote[2254].end |
20964.24846875 |
transcript.pyannote[2255].speaker |
SPEAKER_05 |
transcript.pyannote[2255].start |
20964.55221875 |
transcript.pyannote[2255].end |
20965.93596875 |
transcript.pyannote[2256].speaker |
SPEAKER_18 |
transcript.pyannote[2256].start |
20968.16346875 |
transcript.pyannote[2256].end |
20970.71159375 |
transcript.pyannote[2257].speaker |
SPEAKER_06 |
transcript.pyannote[2257].start |
20973.64784375 |
transcript.pyannote[2257].end |
20974.57596875 |
transcript.pyannote[2258].speaker |
SPEAKER_18 |
transcript.pyannote[2258].start |
20974.57596875 |
transcript.pyannote[2258].end |
20975.20034375 |
transcript.pyannote[2259].speaker |
SPEAKER_06 |
transcript.pyannote[2259].start |
20976.04409375 |
transcript.pyannote[2259].end |
20980.63409375 |
transcript.pyannote[2260].speaker |
SPEAKER_18 |
transcript.pyannote[2260].start |
20980.63409375 |
transcript.pyannote[2260].end |
20982.43971875 |
transcript.pyannote[2261].speaker |
SPEAKER_05 |
transcript.pyannote[2261].start |
20983.80659375 |
transcript.pyannote[2261].end |
20983.84034375 |
transcript.pyannote[2262].speaker |
SPEAKER_18 |
transcript.pyannote[2262].start |
20983.84034375 |
transcript.pyannote[2262].end |
20986.03409375 |
transcript.pyannote[2263].speaker |
SPEAKER_23 |
transcript.pyannote[2263].start |
20986.03409375 |
transcript.pyannote[2263].end |
20987.11409375 |
transcript.pyannote[2264].speaker |
SPEAKER_05 |
transcript.pyannote[2264].start |
20987.24909375 |
transcript.pyannote[2264].end |
20988.48096875 |
transcript.pyannote[2265].speaker |
SPEAKER_05 |
transcript.pyannote[2265].start |
20988.61596875 |
transcript.pyannote[2265].end |
20989.20659375 |
transcript.pyannote[2266].speaker |
SPEAKER_07 |
transcript.pyannote[2266].start |
21198.18659375 |
transcript.pyannote[2266].end |
21198.38909375 |
transcript.pyannote[2267].speaker |
SPEAKER_07 |
transcript.pyannote[2267].start |
21198.42284375 |
transcript.pyannote[2267].end |
21198.43971875 |
transcript.pyannote[2268].speaker |
SPEAKER_07 |
transcript.pyannote[2268].start |
21198.45659375 |
transcript.pyannote[2268].end |
21198.54096875 |
transcript.pyannote[2269].speaker |
SPEAKER_17 |
transcript.pyannote[2269].start |
21247.25909375 |
transcript.pyannote[2269].end |
21249.63846875 |
transcript.pyannote[2270].speaker |
SPEAKER_17 |
transcript.pyannote[2270].start |
21250.46534375 |
transcript.pyannote[2270].end |
21250.93784375 |
transcript.pyannote[2271].speaker |
SPEAKER_17 |
transcript.pyannote[2271].start |
21250.98846875 |
transcript.pyannote[2271].end |
21251.03909375 |
transcript.pyannote[2272].speaker |
SPEAKER_17 |
transcript.pyannote[2272].start |
21253.67159375 |
transcript.pyannote[2272].end |
21258.59909375 |
transcript.pyannote[2273].speaker |
SPEAKER_17 |
transcript.pyannote[2273].start |
21259.42596875 |
transcript.pyannote[2273].end |
21271.52534375 |
transcript.pyannote[2274].speaker |
SPEAKER_21 |
transcript.pyannote[2274].start |
21281.66721875 |
transcript.pyannote[2274].end |
21284.14784375 |
transcript.pyannote[2275].speaker |
SPEAKER_19 |
transcript.pyannote[2275].start |
21281.92034375 |
transcript.pyannote[2275].end |
21282.81471875 |
transcript.pyannote[2276].speaker |
SPEAKER_19 |
transcript.pyannote[2276].start |
21283.11846875 |
transcript.pyannote[2276].end |
21284.11409375 |
transcript.pyannote[2277].speaker |
SPEAKER_19 |
transcript.pyannote[2277].start |
21284.14784375 |
transcript.pyannote[2277].end |
21284.35034375 |
transcript.pyannote[2278].speaker |
SPEAKER_02 |
transcript.pyannote[2278].start |
21294.94784375 |
transcript.pyannote[2278].end |
21295.97721875 |
transcript.pyannote[2279].speaker |
SPEAKER_17 |
transcript.pyannote[2279].start |
21295.97721875 |
transcript.pyannote[2279].end |
21296.70284375 |
transcript.pyannote[2280].speaker |
SPEAKER_02 |
transcript.pyannote[2280].start |
21296.70284375 |
transcript.pyannote[2280].end |
21296.71971875 |
transcript.pyannote[2281].speaker |
SPEAKER_18 |
transcript.pyannote[2281].start |
21313.96596875 |
transcript.pyannote[2281].end |
21314.03346875 |
transcript.pyannote[2282].speaker |
SPEAKER_17 |
transcript.pyannote[2282].start |
21316.88534375 |
transcript.pyannote[2282].end |
21317.18909375 |
transcript.pyannote[2283].speaker |
SPEAKER_17 |
transcript.pyannote[2283].start |
21317.67846875 |
transcript.pyannote[2283].end |
21319.97346875 |
transcript.pyannote[2284].speaker |
SPEAKER_18 |
transcript.pyannote[2284].start |
21318.60659375 |
transcript.pyannote[2284].end |
21318.80909375 |
transcript.pyannote[2285].speaker |
SPEAKER_17 |
transcript.pyannote[2285].start |
21325.00221875 |
transcript.pyannote[2285].end |
21325.55909375 |
transcript.pyannote[2286].speaker |
SPEAKER_17 |
transcript.pyannote[2286].start |
21326.03159375 |
transcript.pyannote[2286].end |
21326.99346875 |
transcript.pyannote[2287].speaker |
SPEAKER_17 |
transcript.pyannote[2287].start |
21327.46596875 |
transcript.pyannote[2287].end |
21328.64721875 |
transcript.pyannote[2288].speaker |
SPEAKER_17 |
transcript.pyannote[2288].start |
21332.25846875 |
transcript.pyannote[2288].end |
21332.29221875 |
transcript.pyannote[2289].speaker |
SPEAKER_14 |
transcript.pyannote[2289].start |
21332.29221875 |
transcript.pyannote[2289].end |
21332.56221875 |
transcript.pyannote[2290].speaker |
SPEAKER_14 |
transcript.pyannote[2290].start |
21333.77721875 |
transcript.pyannote[2290].end |
21347.41221875 |
transcript.pyannote[2291].speaker |
SPEAKER_14 |
transcript.pyannote[2291].start |
21348.01971875 |
transcript.pyannote[2291].end |
21372.72471875 |
transcript.pyannote[2292].speaker |
SPEAKER_14 |
transcript.pyannote[2292].start |
21373.63596875 |
transcript.pyannote[2292].end |
21375.98159375 |
transcript.pyannote[2293].speaker |
SPEAKER_14 |
transcript.pyannote[2293].start |
21376.47096875 |
transcript.pyannote[2293].end |
21378.54659375 |
transcript.pyannote[2294].speaker |
SPEAKER_14 |
transcript.pyannote[2294].start |
21378.86721875 |
transcript.pyannote[2294].end |
21388.97534375 |
transcript.pyannote[2295].speaker |
SPEAKER_14 |
transcript.pyannote[2295].start |
21389.46471875 |
transcript.pyannote[2295].end |
21411.58784375 |
transcript.pyannote[2296].speaker |
SPEAKER_14 |
transcript.pyannote[2296].start |
21412.04346875 |
transcript.pyannote[2296].end |
21428.44596875 |
transcript.pyannote[2297].speaker |
SPEAKER_14 |
transcript.pyannote[2297].start |
21428.68221875 |
transcript.pyannote[2297].end |
21431.53409375 |
transcript.pyannote[2298].speaker |
SPEAKER_14 |
transcript.pyannote[2298].start |
21432.05721875 |
transcript.pyannote[2298].end |
21433.62659375 |
transcript.pyannote[2299].speaker |
SPEAKER_14 |
transcript.pyannote[2299].start |
21435.88784375 |
transcript.pyannote[2299].end |
21436.78221875 |
transcript.pyannote[2300].speaker |
SPEAKER_14 |
transcript.pyannote[2300].start |
21437.64284375 |
transcript.pyannote[2300].end |
21438.26721875 |
transcript.pyannote[2301].speaker |
SPEAKER_17 |
transcript.pyannote[2301].start |
21438.26721875 |
transcript.pyannote[2301].end |
21438.28409375 |
transcript.pyannote[2302].speaker |
SPEAKER_04 |
transcript.pyannote[2302].start |
21438.87471875 |
transcript.pyannote[2302].end |
21457.28534375 |
transcript.pyannote[2303].speaker |
SPEAKER_04 |
transcript.pyannote[2303].start |
21458.70284375 |
transcript.pyannote[2303].end |
21459.32721875 |
transcript.pyannote[2304].speaker |
SPEAKER_04 |
transcript.pyannote[2304].start |
21460.67721875 |
transcript.pyannote[2304].end |
21462.14534375 |
transcript.pyannote[2305].speaker |
SPEAKER_04 |
transcript.pyannote[2305].start |
21464.71034375 |
transcript.pyannote[2305].end |
21469.89096875 |
transcript.pyannote[2306].speaker |
SPEAKER_04 |
transcript.pyannote[2306].start |
21470.26221875 |
transcript.pyannote[2306].end |
21471.02159375 |
transcript.pyannote[2307].speaker |
SPEAKER_04 |
transcript.pyannote[2307].start |
21471.61221875 |
transcript.pyannote[2307].end |
21477.13034375 |
transcript.pyannote[2308].speaker |
SPEAKER_17 |
transcript.pyannote[2308].start |
21479.23971875 |
transcript.pyannote[2308].end |
21480.21846875 |
transcript.pyannote[2309].speaker |
SPEAKER_17 |
transcript.pyannote[2309].start |
21481.73721875 |
transcript.pyannote[2309].end |
21482.04096875 |
transcript.pyannote[2310].speaker |
SPEAKER_23 |
transcript.pyannote[2310].start |
21482.04096875 |
transcript.pyannote[2310].end |
21482.15909375 |
transcript.pyannote[2311].speaker |
SPEAKER_17 |
transcript.pyannote[2311].start |
21482.15909375 |
transcript.pyannote[2311].end |
21482.78346875 |
transcript.pyannote[2312].speaker |
SPEAKER_23 |
transcript.pyannote[2312].start |
21483.42471875 |
transcript.pyannote[2312].end |
21523.11471875 |
transcript.pyannote[2313].speaker |
SPEAKER_04 |
transcript.pyannote[2313].start |
21524.21159375 |
transcript.pyannote[2313].end |
21525.79784375 |
transcript.pyannote[2314].speaker |
SPEAKER_23 |
transcript.pyannote[2314].start |
21525.42659375 |
transcript.pyannote[2314].end |
21527.16471875 |
transcript.pyannote[2315].speaker |
SPEAKER_23 |
transcript.pyannote[2315].start |
21527.18159375 |
transcript.pyannote[2315].end |
21527.19846875 |
transcript.pyannote[2316].speaker |
SPEAKER_04 |
transcript.pyannote[2316].start |
21527.19846875 |
transcript.pyannote[2316].end |
21527.53596875 |
transcript.pyannote[2317].speaker |
SPEAKER_23 |
transcript.pyannote[2317].start |
21527.53596875 |
transcript.pyannote[2317].end |
21528.49784375 |
transcript.pyannote[2318].speaker |
SPEAKER_04 |
transcript.pyannote[2318].start |
21528.14346875 |
transcript.pyannote[2318].end |
21528.19409375 |
transcript.pyannote[2319].speaker |
SPEAKER_04 |
transcript.pyannote[2319].start |
21528.59909375 |
transcript.pyannote[2319].end |
21529.71284375 |
transcript.pyannote[2320].speaker |
SPEAKER_04 |
transcript.pyannote[2320].start |
21531.02909375 |
transcript.pyannote[2320].end |
21541.82909375 |
transcript.pyannote[2321].speaker |
SPEAKER_04 |
transcript.pyannote[2321].start |
21542.35221875 |
transcript.pyannote[2321].end |
21547.41471875 |
transcript.pyannote[2322].speaker |
SPEAKER_04 |
transcript.pyannote[2322].start |
21547.63409375 |
transcript.pyannote[2322].end |
21555.46409375 |
transcript.pyannote[2323].speaker |
SPEAKER_04 |
transcript.pyannote[2323].start |
21556.02096875 |
transcript.pyannote[2323].end |
21569.33534375 |
transcript.pyannote[2324].speaker |
SPEAKER_04 |
transcript.pyannote[2324].start |
21570.14534375 |
transcript.pyannote[2324].end |
21585.19784375 |
transcript.pyannote[2325].speaker |
SPEAKER_04 |
transcript.pyannote[2325].start |
21585.45096875 |
transcript.pyannote[2325].end |
21589.88909375 |
transcript.pyannote[2326].speaker |
SPEAKER_04 |
transcript.pyannote[2326].start |
21590.24346875 |
transcript.pyannote[2326].end |
21593.82096875 |
transcript.pyannote[2327].speaker |
SPEAKER_04 |
transcript.pyannote[2327].start |
21594.25971875 |
transcript.pyannote[2327].end |
21612.46784375 |
transcript.pyannote[2328].speaker |
SPEAKER_04 |
transcript.pyannote[2328].start |
21612.94034375 |
transcript.pyannote[2328].end |
21622.89659375 |
transcript.pyannote[2329].speaker |
SPEAKER_04 |
transcript.pyannote[2329].start |
21623.40284375 |
transcript.pyannote[2329].end |
21624.48284375 |
transcript.pyannote[2330].speaker |
SPEAKER_04 |
transcript.pyannote[2330].start |
21624.65159375 |
transcript.pyannote[2330].end |
21633.03846875 |
transcript.pyannote[2331].speaker |
SPEAKER_04 |
transcript.pyannote[2331].start |
21633.30846875 |
transcript.pyannote[2331].end |
21643.66971875 |
transcript.pyannote[2332].speaker |
SPEAKER_17 |
transcript.pyannote[2332].start |
21645.17159375 |
transcript.pyannote[2332].end |
21645.96471875 |
transcript.pyannote[2333].speaker |
SPEAKER_14 |
transcript.pyannote[2333].start |
21645.96471875 |
transcript.pyannote[2333].end |
21646.18409375 |
transcript.pyannote[2334].speaker |
SPEAKER_14 |
transcript.pyannote[2334].start |
21649.13721875 |
transcript.pyannote[2334].end |
21659.53221875 |
transcript.pyannote[2335].speaker |
SPEAKER_14 |
transcript.pyannote[2335].start |
21660.20721875 |
transcript.pyannote[2335].end |
21679.76534375 |
transcript.pyannote[2336].speaker |
SPEAKER_14 |
transcript.pyannote[2336].start |
21679.95096875 |
transcript.pyannote[2336].end |
21704.99346875 |
transcript.pyannote[2337].speaker |
SPEAKER_14 |
transcript.pyannote[2337].start |
21705.66846875 |
transcript.pyannote[2337].end |
21707.55846875 |
transcript.pyannote[2338].speaker |
SPEAKER_14 |
transcript.pyannote[2338].start |
21707.99721875 |
transcript.pyannote[2338].end |
21714.13971875 |
transcript.pyannote[2339].speaker |
SPEAKER_14 |
transcript.pyannote[2339].start |
21714.57846875 |
transcript.pyannote[2339].end |
21719.72534375 |
transcript.pyannote[2340].speaker |
SPEAKER_14 |
transcript.pyannote[2340].start |
21722.18909375 |
transcript.pyannote[2340].end |
21722.96534375 |
transcript.pyannote[2341].speaker |
SPEAKER_14 |
transcript.pyannote[2341].start |
21723.35346875 |
transcript.pyannote[2341].end |
21724.02846875 |
transcript.pyannote[2342].speaker |
SPEAKER_23 |
transcript.pyannote[2342].start |
21724.02846875 |
transcript.pyannote[2342].end |
21724.16346875 |
transcript.pyannote[2343].speaker |
SPEAKER_14 |
transcript.pyannote[2343].start |
21725.39534375 |
transcript.pyannote[2343].end |
21725.41221875 |
transcript.pyannote[2344].speaker |
SPEAKER_23 |
transcript.pyannote[2344].start |
21725.41221875 |
transcript.pyannote[2344].end |
21726.35721875 |
transcript.pyannote[2345].speaker |
SPEAKER_23 |
transcript.pyannote[2345].start |
21727.03221875 |
transcript.pyannote[2345].end |
21728.73659375 |
transcript.pyannote[2346].speaker |
SPEAKER_23 |
transcript.pyannote[2346].start |
21728.88846875 |
transcript.pyannote[2346].end |
21819.77721875 |
transcript.pyannote[2347].speaker |
SPEAKER_23 |
transcript.pyannote[2347].start |
21820.57034375 |
transcript.pyannote[2347].end |
21831.97784375 |
transcript.pyannote[2348].speaker |
SPEAKER_15 |
transcript.pyannote[2348].start |
21834.91409375 |
transcript.pyannote[2348].end |
21835.08284375 |
transcript.pyannote[2349].speaker |
SPEAKER_14 |
transcript.pyannote[2349].start |
21835.21784375 |
transcript.pyannote[2349].end |
21840.29721875 |
transcript.pyannote[2350].speaker |
SPEAKER_23 |
transcript.pyannote[2350].start |
21840.55034375 |
transcript.pyannote[2350].end |
21850.20284375 |
transcript.pyannote[2351].speaker |
SPEAKER_14 |
transcript.pyannote[2351].start |
21843.87471875 |
transcript.pyannote[2351].end |
21844.61721875 |
transcript.pyannote[2352].speaker |
SPEAKER_14 |
transcript.pyannote[2352].start |
21850.65846875 |
transcript.pyannote[2352].end |
21855.88971875 |
transcript.pyannote[2353].speaker |
SPEAKER_23 |
transcript.pyannote[2353].start |
21855.88971875 |
transcript.pyannote[2353].end |
21861.66096875 |
transcript.pyannote[2354].speaker |
SPEAKER_14 |
transcript.pyannote[2354].start |
21862.36971875 |
transcript.pyannote[2354].end |
21864.61409375 |
transcript.pyannote[2355].speaker |
SPEAKER_23 |
transcript.pyannote[2355].start |
21863.34846875 |
transcript.pyannote[2355].end |
21868.32659375 |
transcript.pyannote[2356].speaker |
SPEAKER_23 |
transcript.pyannote[2356].start |
21868.98471875 |
transcript.pyannote[2356].end |
21874.30034375 |
transcript.pyannote[2357].speaker |
SPEAKER_14 |
transcript.pyannote[2357].start |
21870.03096875 |
transcript.pyannote[2357].end |
21872.46096875 |
transcript.pyannote[2358].speaker |
SPEAKER_19 |
transcript.pyannote[2358].start |
21872.83221875 |
transcript.pyannote[2358].end |
21872.86596875 |
transcript.pyannote[2359].speaker |
SPEAKER_14 |
transcript.pyannote[2359].start |
21872.86596875 |
transcript.pyannote[2359].end |
21874.08096875 |
transcript.pyannote[2360].speaker |
SPEAKER_23 |
transcript.pyannote[2360].start |
21874.67159375 |
transcript.pyannote[2360].end |
21885.92721875 |
transcript.pyannote[2361].speaker |
SPEAKER_14 |
transcript.pyannote[2361].start |
21885.11721875 |
transcript.pyannote[2361].end |
21887.98596875 |
transcript.pyannote[2362].speaker |
SPEAKER_23 |
transcript.pyannote[2362].start |
21888.17159375 |
transcript.pyannote[2362].end |
21891.85034375 |
transcript.pyannote[2363].speaker |
SPEAKER_23 |
transcript.pyannote[2363].start |
21892.52534375 |
transcript.pyannote[2363].end |
21892.86284375 |
transcript.pyannote[2364].speaker |
SPEAKER_23 |
transcript.pyannote[2364].start |
21892.93034375 |
transcript.pyannote[2364].end |
21892.94721875 |
transcript.pyannote[2365].speaker |
SPEAKER_14 |
transcript.pyannote[2365].start |
21892.94721875 |
transcript.pyannote[2365].end |
21893.80784375 |
transcript.pyannote[2366].speaker |
SPEAKER_17 |
transcript.pyannote[2366].start |
21895.61346875 |
transcript.pyannote[2366].end |
21896.72721875 |
transcript.pyannote[2367].speaker |
SPEAKER_17 |
transcript.pyannote[2367].start |
21898.00971875 |
transcript.pyannote[2367].end |
21899.05596875 |
transcript.pyannote[2368].speaker |
SPEAKER_17 |
transcript.pyannote[2368].start |
22069.81409375 |
transcript.pyannote[2368].end |
22071.58596875 |
transcript.pyannote[2369].speaker |
SPEAKER_19 |
transcript.pyannote[2369].start |
22136.97659375 |
transcript.pyannote[2369].end |
22137.02721875 |
transcript.pyannote[2370].speaker |
SPEAKER_19 |
transcript.pyannote[2370].start |
22138.27596875 |
transcript.pyannote[2370].end |
22138.29284375 |
transcript.pyannote[2371].speaker |
SPEAKER_19 |
transcript.pyannote[2371].start |
22138.39409375 |
transcript.pyannote[2371].end |
22139.62596875 |
transcript.pyannote[2372].speaker |
SPEAKER_19 |
transcript.pyannote[2372].start |
22161.05721875 |
transcript.pyannote[2372].end |
22161.07409375 |
transcript.pyannote[2373].speaker |
SPEAKER_18 |
transcript.pyannote[2373].start |
22196.96721875 |
transcript.pyannote[2373].end |
22197.03471875 |
transcript.pyannote[2374].speaker |
SPEAKER_18 |
transcript.pyannote[2374].start |
22197.96284375 |
transcript.pyannote[2374].end |
22198.03034375 |
transcript.pyannote[2375].speaker |
SPEAKER_18 |
transcript.pyannote[2375].start |
22199.34659375 |
transcript.pyannote[2375].end |
22200.94971875 |
transcript.pyannote[2376].speaker |
SPEAKER_19 |
transcript.pyannote[2376].start |
22200.94971875 |
transcript.pyannote[2376].end |
22200.96659375 |
transcript.pyannote[2377].speaker |
SPEAKER_18 |
transcript.pyannote[2377].start |
22200.96659375 |
transcript.pyannote[2377].end |
22205.48909375 |
transcript.pyannote[2378].speaker |
SPEAKER_18 |
transcript.pyannote[2378].start |
22206.19784375 |
transcript.pyannote[2378].end |
22206.68721875 |
transcript.pyannote[2379].speaker |
SPEAKER_19 |
transcript.pyannote[2379].start |
22235.40846875 |
transcript.pyannote[2379].end |
22236.01596875 |
transcript.pyannote[2380].speaker |
SPEAKER_17 |
transcript.pyannote[2380].start |
22243.20471875 |
transcript.pyannote[2380].end |
22247.03534375 |
transcript.pyannote[2381].speaker |
SPEAKER_17 |
transcript.pyannote[2381].start |
22247.45721875 |
transcript.pyannote[2381].end |
22254.30846875 |
transcript.pyannote[2382].speaker |
SPEAKER_21 |
transcript.pyannote[2382].start |
22256.99159375 |
transcript.pyannote[2382].end |
22261.02471875 |
transcript.pyannote[2383].speaker |
SPEAKER_17 |
transcript.pyannote[2383].start |
22258.13909375 |
transcript.pyannote[2383].end |
22259.21909375 |
transcript.pyannote[2384].speaker |
SPEAKER_17 |
transcript.pyannote[2384].start |
22260.68721875 |
transcript.pyannote[2384].end |
22264.02846875 |
transcript.pyannote[2385].speaker |
SPEAKER_17 |
transcript.pyannote[2385].start |
22264.63596875 |
transcript.pyannote[2385].end |
22293.72846875 |
transcript.pyannote[2386].speaker |
SPEAKER_17 |
transcript.pyannote[2386].start |
22294.65659375 |
transcript.pyannote[2386].end |
22295.41596875 |
transcript.pyannote[2387].speaker |
SPEAKER_17 |
transcript.pyannote[2387].start |
22297.86284375 |
transcript.pyannote[2387].end |
22298.57159375 |
transcript.pyannote[2388].speaker |
SPEAKER_21 |
transcript.pyannote[2388].start |
22300.29284375 |
transcript.pyannote[2388].end |
22302.62159375 |
transcript.pyannote[2389].speaker |
SPEAKER_16 |
transcript.pyannote[2389].start |
22304.41034375 |
transcript.pyannote[2389].end |
22305.52409375 |
transcript.pyannote[2390].speaker |
SPEAKER_16 |
transcript.pyannote[2390].start |
22306.78971875 |
transcript.pyannote[2390].end |
22316.56034375 |
transcript.pyannote[2391].speaker |
SPEAKER_16 |
transcript.pyannote[2391].start |
22317.11721875 |
transcript.pyannote[2391].end |
22336.03409375 |
transcript.pyannote[2392].speaker |
SPEAKER_23 |
transcript.pyannote[2392].start |
22336.03409375 |
transcript.pyannote[2392].end |
22337.09721875 |
transcript.pyannote[2393].speaker |
SPEAKER_23 |
transcript.pyannote[2393].start |
22337.35034375 |
transcript.pyannote[2393].end |
22344.64034375 |
transcript.pyannote[2394].speaker |
SPEAKER_16 |
transcript.pyannote[2394].start |
22344.55596875 |
transcript.pyannote[2394].end |
22347.30659375 |
transcript.pyannote[2395].speaker |
SPEAKER_23 |
transcript.pyannote[2395].start |
22345.01159375 |
transcript.pyannote[2395].end |
22345.29846875 |
transcript.pyannote[2396].speaker |
SPEAKER_23 |
transcript.pyannote[2396].start |
22346.73284375 |
transcript.pyannote[2396].end |
22347.25596875 |
transcript.pyannote[2397].speaker |
SPEAKER_23 |
transcript.pyannote[2397].start |
22347.30659375 |
transcript.pyannote[2397].end |
22347.76221875 |
transcript.pyannote[2398].speaker |
SPEAKER_16 |
transcript.pyannote[2398].start |
22347.76221875 |
transcript.pyannote[2398].end |
22351.49159375 |
transcript.pyannote[2399].speaker |
SPEAKER_23 |
transcript.pyannote[2399].start |
22352.03159375 |
transcript.pyannote[2399].end |
22386.65909375 |
transcript.pyannote[2400].speaker |
SPEAKER_16 |
transcript.pyannote[2400].start |
22385.35971875 |
transcript.pyannote[2400].end |
22392.58221875 |
transcript.pyannote[2401].speaker |
SPEAKER_23 |
transcript.pyannote[2401].start |
22390.57409375 |
transcript.pyannote[2401].end |
22397.69534375 |
transcript.pyannote[2402].speaker |
SPEAKER_23 |
transcript.pyannote[2402].start |
22397.99909375 |
transcript.pyannote[2402].end |
22399.61909375 |
transcript.pyannote[2403].speaker |
SPEAKER_23 |
transcript.pyannote[2403].start |
22400.15909375 |
transcript.pyannote[2403].end |
22404.56346875 |
transcript.pyannote[2404].speaker |
SPEAKER_16 |
transcript.pyannote[2404].start |
22405.20471875 |
transcript.pyannote[2404].end |
22405.76159375 |
transcript.pyannote[2405].speaker |
SPEAKER_16 |
transcript.pyannote[2405].start |
22406.45346875 |
transcript.pyannote[2405].end |
22435.02284375 |
transcript.pyannote[2406].speaker |
SPEAKER_23 |
transcript.pyannote[2406].start |
22435.02284375 |
transcript.pyannote[2406].end |
22463.23784375 |
transcript.pyannote[2407].speaker |
SPEAKER_16 |
transcript.pyannote[2407].start |
22463.23784375 |
transcript.pyannote[2407].end |
22506.67409375 |
transcript.pyannote[2408].speaker |
SPEAKER_00 |
transcript.pyannote[2408].start |
22473.31221875 |
transcript.pyannote[2408].end |
22473.32909375 |
transcript.pyannote[2409].speaker |
SPEAKER_23 |
transcript.pyannote[2409].start |
22473.32909375 |
transcript.pyannote[2409].end |
22474.96596875 |
transcript.pyannote[2410].speaker |
SPEAKER_19 |
transcript.pyannote[2410].start |
22474.96596875 |
transcript.pyannote[2410].end |
22475.15159375 |
transcript.pyannote[2411].speaker |
SPEAKER_00 |
transcript.pyannote[2411].start |
22475.15159375 |
transcript.pyannote[2411].end |
22475.48909375 |
transcript.pyannote[2412].speaker |
SPEAKER_19 |
transcript.pyannote[2412].start |
22475.48909375 |
transcript.pyannote[2412].end |
22475.53971875 |
transcript.pyannote[2413].speaker |
SPEAKER_00 |
transcript.pyannote[2413].start |
22475.53971875 |
transcript.pyannote[2413].end |
22476.02909375 |
transcript.pyannote[2414].speaker |
SPEAKER_16 |
transcript.pyannote[2414].start |
22507.29846875 |
transcript.pyannote[2414].end |
22511.51721875 |
transcript.pyannote[2415].speaker |
SPEAKER_16 |
transcript.pyannote[2415].start |
22511.95596875 |
transcript.pyannote[2415].end |
22513.10346875 |
transcript.pyannote[2416].speaker |
SPEAKER_16 |
transcript.pyannote[2416].start |
22513.39034375 |
transcript.pyannote[2416].end |
22514.77409375 |
transcript.pyannote[2417].speaker |
SPEAKER_23 |
transcript.pyannote[2417].start |
22517.08596875 |
transcript.pyannote[2417].end |
22520.10659375 |
transcript.pyannote[2418].speaker |
SPEAKER_23 |
transcript.pyannote[2418].start |
22520.95034375 |
transcript.pyannote[2418].end |
22565.16284375 |
transcript.pyannote[2419].speaker |
SPEAKER_16 |
transcript.pyannote[2419].start |
22565.55096875 |
transcript.pyannote[2419].end |
22659.35909375 |
transcript.pyannote[2420].speaker |
SPEAKER_16 |
transcript.pyannote[2420].start |
22659.78096875 |
transcript.pyannote[2420].end |
22661.56971875 |
transcript.pyannote[2421].speaker |
SPEAKER_17 |
transcript.pyannote[2421].start |
22660.74284375 |
transcript.pyannote[2421].end |
22660.99596875 |
transcript.pyannote[2422].speaker |
SPEAKER_16 |
transcript.pyannote[2422].start |
22661.58659375 |
transcript.pyannote[2422].end |
22662.34596875 |
transcript.pyannote[2423].speaker |
SPEAKER_17 |
transcript.pyannote[2423].start |
22661.85659375 |
transcript.pyannote[2423].end |
22662.29534375 |
transcript.pyannote[2424].speaker |
SPEAKER_17 |
transcript.pyannote[2424].start |
22662.97034375 |
transcript.pyannote[2424].end |
22666.26096875 |
transcript.pyannote[2425].speaker |
SPEAKER_16 |
transcript.pyannote[2425].start |
22663.05471875 |
transcript.pyannote[2425].end |
22664.67471875 |
transcript.pyannote[2426].speaker |
SPEAKER_16 |
transcript.pyannote[2426].start |
22665.88971875 |
transcript.pyannote[2426].end |
22670.34471875 |
transcript.pyannote[2427].speaker |
SPEAKER_16 |
transcript.pyannote[2427].start |
22670.54721875 |
transcript.pyannote[2427].end |
22672.96034375 |
transcript.pyannote[2428].speaker |
SPEAKER_16 |
transcript.pyannote[2428].start |
22673.53409375 |
transcript.pyannote[2428].end |
22713.24096875 |
transcript.pyannote[2429].speaker |
SPEAKER_17 |
transcript.pyannote[2429].start |
22713.46034375 |
transcript.pyannote[2429].end |
22714.69221875 |
transcript.pyannote[2430].speaker |
SPEAKER_07 |
transcript.pyannote[2430].start |
22714.99596875 |
transcript.pyannote[2430].end |
22775.72909375 |
transcript.pyannote[2431].speaker |
SPEAKER_08 |
transcript.pyannote[2431].start |
22775.72909375 |
transcript.pyannote[2431].end |
22775.74596875 |
transcript.pyannote[2432].speaker |
SPEAKER_17 |
transcript.pyannote[2432].start |
22776.20159375 |
transcript.pyannote[2432].end |
22777.02846875 |
transcript.pyannote[2433].speaker |
SPEAKER_08 |
transcript.pyannote[2433].start |
22777.02846875 |
transcript.pyannote[2433].end |
22777.09596875 |
transcript.pyannote[2434].speaker |
SPEAKER_08 |
transcript.pyannote[2434].start |
22777.26471875 |
transcript.pyannote[2434].end |
22802.67846875 |
transcript.pyannote[2435].speaker |
SPEAKER_08 |
transcript.pyannote[2435].start |
22805.61471875 |
transcript.pyannote[2435].end |
22807.52159375 |
transcript.pyannote[2436].speaker |
SPEAKER_08 |
transcript.pyannote[2436].start |
22807.97721875 |
transcript.pyannote[2436].end |
22856.99909375 |
transcript.pyannote[2437].speaker |
SPEAKER_08 |
transcript.pyannote[2437].start |
22857.30284375 |
transcript.pyannote[2437].end |
22872.82784375 |
transcript.pyannote[2438].speaker |
SPEAKER_08 |
transcript.pyannote[2438].start |
22873.03034375 |
transcript.pyannote[2438].end |
22886.85096875 |
transcript.pyannote[2439].speaker |
SPEAKER_08 |
transcript.pyannote[2439].start |
22887.23909375 |
transcript.pyannote[2439].end |
22945.62659375 |
transcript.pyannote[2440].speaker |
SPEAKER_08 |
transcript.pyannote[2440].start |
22946.04846875 |
transcript.pyannote[2440].end |
22946.41971875 |
transcript.pyannote[2441].speaker |
SPEAKER_17 |
transcript.pyannote[2441].start |
22950.41909375 |
transcript.pyannote[2441].end |
22951.54971875 |
transcript.pyannote[2442].speaker |
SPEAKER_04 |
transcript.pyannote[2442].start |
22952.44409375 |
transcript.pyannote[2442].end |
22953.42284375 |
transcript.pyannote[2443].speaker |
SPEAKER_04 |
transcript.pyannote[2443].start |
22954.06409375 |
transcript.pyannote[2443].end |
22958.60346875 |
transcript.pyannote[2444].speaker |
SPEAKER_04 |
transcript.pyannote[2444].start |
22958.99159375 |
transcript.pyannote[2444].end |
22962.01221875 |
transcript.pyannote[2445].speaker |
SPEAKER_04 |
transcript.pyannote[2445].start |
22962.04596875 |
transcript.pyannote[2445].end |
22963.14284375 |
transcript.pyannote[2446].speaker |
SPEAKER_04 |
transcript.pyannote[2446].start |
22964.64471875 |
transcript.pyannote[2446].end |
22966.68659375 |
transcript.pyannote[2447].speaker |
SPEAKER_04 |
transcript.pyannote[2447].start |
22966.80471875 |
transcript.pyannote[2447].end |
22969.96034375 |
transcript.pyannote[2448].speaker |
SPEAKER_04 |
transcript.pyannote[2448].start |
22970.75346875 |
transcript.pyannote[2448].end |
22974.88784375 |
transcript.pyannote[2449].speaker |
SPEAKER_04 |
transcript.pyannote[2449].start |
22975.02284375 |
transcript.pyannote[2449].end |
22982.34659375 |
transcript.pyannote[2450].speaker |
SPEAKER_04 |
transcript.pyannote[2450].start |
22982.70096875 |
transcript.pyannote[2450].end |
22983.05534375 |
transcript.pyannote[2451].speaker |
SPEAKER_04 |
transcript.pyannote[2451].start |
22983.71346875 |
transcript.pyannote[2451].end |
22987.57784375 |
transcript.pyannote[2452].speaker |
SPEAKER_04 |
transcript.pyannote[2452].start |
22987.84784375 |
transcript.pyannote[2452].end |
22989.78846875 |
transcript.pyannote[2453].speaker |
SPEAKER_04 |
transcript.pyannote[2453].start |
22990.14284375 |
transcript.pyannote[2453].end |
22990.68284375 |
transcript.pyannote[2454].speaker |
SPEAKER_04 |
transcript.pyannote[2454].start |
22991.32409375 |
transcript.pyannote[2454].end |
22992.47159375 |
transcript.pyannote[2455].speaker |
SPEAKER_04 |
transcript.pyannote[2455].start |
22992.70784375 |
transcript.pyannote[2455].end |
22995.05346875 |
transcript.pyannote[2456].speaker |
SPEAKER_04 |
transcript.pyannote[2456].start |
22995.54284375 |
transcript.pyannote[2456].end |
22995.84659375 |
transcript.pyannote[2457].speaker |
SPEAKER_04 |
transcript.pyannote[2457].start |
22996.03221875 |
transcript.pyannote[2457].end |
23000.26784375 |
transcript.pyannote[2458].speaker |
SPEAKER_04 |
transcript.pyannote[2458].start |
23000.68971875 |
transcript.pyannote[2458].end |
23007.64221875 |
transcript.pyannote[2459].speaker |
SPEAKER_04 |
transcript.pyannote[2459].start |
23008.24971875 |
transcript.pyannote[2459].end |
23012.23221875 |
transcript.pyannote[2460].speaker |
SPEAKER_04 |
transcript.pyannote[2460].start |
23012.82284375 |
transcript.pyannote[2460].end |
23015.03346875 |
transcript.pyannote[2461].speaker |
SPEAKER_04 |
transcript.pyannote[2461].start |
23015.13471875 |
transcript.pyannote[2461].end |
23022.84659375 |
transcript.pyannote[2462].speaker |
SPEAKER_04 |
transcript.pyannote[2462].start |
23023.23471875 |
transcript.pyannote[2462].end |
23024.19659375 |
transcript.pyannote[2463].speaker |
SPEAKER_04 |
transcript.pyannote[2463].start |
23024.46659375 |
transcript.pyannote[2463].end |
23030.25471875 |
transcript.pyannote[2464].speaker |
SPEAKER_04 |
transcript.pyannote[2464].start |
23030.45721875 |
transcript.pyannote[2464].end |
23034.06846875 |
transcript.pyannote[2465].speaker |
SPEAKER_04 |
transcript.pyannote[2465].start |
23034.15284375 |
transcript.pyannote[2465].end |
23038.35471875 |
transcript.pyannote[2466].speaker |
SPEAKER_04 |
transcript.pyannote[2466].start |
23038.67534375 |
transcript.pyannote[2466].end |
23047.65284375 |
transcript.pyannote[2467].speaker |
SPEAKER_17 |
transcript.pyannote[2467].start |
23049.81284375 |
transcript.pyannote[2467].end |
23051.65221875 |
transcript.pyannote[2468].speaker |
SPEAKER_14 |
transcript.pyannote[2468].start |
23055.38159375 |
transcript.pyannote[2468].end |
23065.62471875 |
transcript.pyannote[2469].speaker |
SPEAKER_14 |
transcript.pyannote[2469].start |
23065.92846875 |
transcript.pyannote[2469].end |
23082.31409375 |
transcript.pyannote[2470].speaker |
SPEAKER_14 |
transcript.pyannote[2470].start |
23082.65159375 |
transcript.pyannote[2470].end |
23086.12784375 |
transcript.pyannote[2471].speaker |
SPEAKER_14 |
transcript.pyannote[2471].start |
23086.68471875 |
transcript.pyannote[2471].end |
23092.45596875 |
transcript.pyannote[2472].speaker |
SPEAKER_14 |
transcript.pyannote[2472].start |
23092.89471875 |
transcript.pyannote[2472].end |
23121.54846875 |
transcript.pyannote[2473].speaker |
SPEAKER_14 |
transcript.pyannote[2473].start |
23121.63284375 |
transcript.pyannote[2473].end |
23131.65659375 |
transcript.pyannote[2474].speaker |
SPEAKER_14 |
transcript.pyannote[2474].start |
23131.99409375 |
transcript.pyannote[2474].end |
23134.99784375 |
transcript.pyannote[2475].speaker |
SPEAKER_14 |
transcript.pyannote[2475].start |
23135.41971875 |
transcript.pyannote[2475].end |
23141.88284375 |
transcript.pyannote[2476].speaker |
SPEAKER_14 |
transcript.pyannote[2476].start |
23142.37221875 |
transcript.pyannote[2476].end |
23152.78409375 |
transcript.pyannote[2477].speaker |
SPEAKER_14 |
transcript.pyannote[2477].start |
23153.30721875 |
transcript.pyannote[2477].end |
23172.40971875 |
transcript.pyannote[2478].speaker |
SPEAKER_14 |
transcript.pyannote[2478].start |
23172.71346875 |
transcript.pyannote[2478].end |
23176.59471875 |
transcript.pyannote[2479].speaker |
SPEAKER_14 |
transcript.pyannote[2479].start |
23177.01659375 |
transcript.pyannote[2479].end |
23181.35346875 |
transcript.pyannote[2480].speaker |
SPEAKER_14 |
transcript.pyannote[2480].start |
23181.58971875 |
transcript.pyannote[2480].end |
23196.86159375 |
transcript.pyannote[2481].speaker |
SPEAKER_14 |
transcript.pyannote[2481].start |
23196.99659375 |
transcript.pyannote[2481].end |
23207.03721875 |
transcript.pyannote[2482].speaker |
SPEAKER_17 |
transcript.pyannote[2482].start |
23207.77971875 |
transcript.pyannote[2482].end |
23208.50534375 |
transcript.pyannote[2483].speaker |
SPEAKER_03 |
transcript.pyannote[2483].start |
23213.19659375 |
transcript.pyannote[2483].end |
23248.97159375 |
transcript.pyannote[2484].speaker |
SPEAKER_03 |
transcript.pyannote[2484].start |
23249.27534375 |
transcript.pyannote[2484].end |
23273.08596875 |
transcript.pyannote[2485].speaker |
SPEAKER_03 |
transcript.pyannote[2485].start |
23273.79471875 |
transcript.pyannote[2485].end |
23278.78971875 |
transcript.pyannote[2486].speaker |
SPEAKER_03 |
transcript.pyannote[2486].start |
23278.92471875 |
transcript.pyannote[2486].end |
23281.91159375 |
transcript.pyannote[2487].speaker |
SPEAKER_03 |
transcript.pyannote[2487].start |
23282.18159375 |
transcript.pyannote[2487].end |
23283.73409375 |
transcript.pyannote[2488].speaker |
SPEAKER_03 |
transcript.pyannote[2488].start |
23284.07159375 |
transcript.pyannote[2488].end |
23284.72971875 |
transcript.pyannote[2489].speaker |
SPEAKER_03 |
transcript.pyannote[2489].start |
23286.82221875 |
transcript.pyannote[2489].end |
23287.83471875 |
transcript.pyannote[2490].speaker |
SPEAKER_23 |
transcript.pyannote[2490].start |
23287.83471875 |
transcript.pyannote[2490].end |
23287.85159375 |
transcript.pyannote[2491].speaker |
SPEAKER_03 |
transcript.pyannote[2491].start |
23288.72909375 |
transcript.pyannote[2491].end |
23288.83034375 |
transcript.pyannote[2492].speaker |
SPEAKER_23 |
transcript.pyannote[2492].start |
23288.83034375 |
transcript.pyannote[2492].end |
23289.62346875 |
transcript.pyannote[2493].speaker |
SPEAKER_23 |
transcript.pyannote[2493].start |
23290.48409375 |
transcript.pyannote[2493].end |
23430.66471875 |
transcript.pyannote[2494].speaker |
SPEAKER_23 |
transcript.pyannote[2494].start |
23431.23846875 |
transcript.pyannote[2494].end |
23432.99346875 |
transcript.pyannote[2495].speaker |
SPEAKER_23 |
transcript.pyannote[2495].start |
23434.69784375 |
transcript.pyannote[2495].end |
23586.48846875 |
transcript.pyannote[2496].speaker |
SPEAKER_14 |
transcript.pyannote[2496].start |
23588.26034375 |
transcript.pyannote[2496].end |
23597.25471875 |
transcript.pyannote[2497].speaker |
SPEAKER_14 |
transcript.pyannote[2497].start |
23597.40659375 |
transcript.pyannote[2497].end |
23602.90784375 |
transcript.pyannote[2498].speaker |
SPEAKER_14 |
transcript.pyannote[2498].start |
23603.27909375 |
transcript.pyannote[2498].end |
23642.22659375 |
transcript.pyannote[2499].speaker |
SPEAKER_14 |
transcript.pyannote[2499].start |
23642.71596875 |
transcript.pyannote[2499].end |
23651.94659375 |
transcript.pyannote[2500].speaker |
SPEAKER_14 |
transcript.pyannote[2500].start |
23652.35159375 |
transcript.pyannote[2500].end |
23657.02596875 |
transcript.pyannote[2501].speaker |
SPEAKER_23 |
transcript.pyannote[2501].start |
23657.02596875 |
transcript.pyannote[2501].end |
23657.14409375 |
transcript.pyannote[2502].speaker |
SPEAKER_23 |
transcript.pyannote[2502].start |
23658.35909375 |
transcript.pyannote[2502].end |
23670.98159375 |
transcript.pyannote[2503].speaker |
SPEAKER_14 |
transcript.pyannote[2503].start |
23670.37409375 |
transcript.pyannote[2503].end |
23671.69034375 |
transcript.pyannote[2504].speaker |
SPEAKER_23 |
transcript.pyannote[2504].start |
23671.69034375 |
transcript.pyannote[2504].end |
23703.97221875 |
transcript.pyannote[2505].speaker |
SPEAKER_14 |
transcript.pyannote[2505].start |
23703.19596875 |
transcript.pyannote[2505].end |
23719.93596875 |
transcript.pyannote[2506].speaker |
SPEAKER_14 |
transcript.pyannote[2506].start |
23720.07096875 |
transcript.pyannote[2506].end |
23720.86409375 |
transcript.pyannote[2507].speaker |
SPEAKER_17 |
transcript.pyannote[2507].start |
23724.03659375 |
transcript.pyannote[2507].end |
23724.96471875 |
transcript.pyannote[2508].speaker |
SPEAKER_17 |
transcript.pyannote[2508].start |
23726.11221875 |
transcript.pyannote[2508].end |
23727.85034375 |
transcript.pyannote[2509].speaker |
SPEAKER_08 |
transcript.pyannote[2509].start |
23728.23846875 |
transcript.pyannote[2509].end |
23729.16659375 |
transcript.pyannote[2510].speaker |
SPEAKER_17 |
transcript.pyannote[2510].start |
23729.84159375 |
transcript.pyannote[2510].end |
23731.32659375 |
transcript.pyannote[2511].speaker |
SPEAKER_17 |
transcript.pyannote[2511].start |
23732.00159375 |
transcript.pyannote[2511].end |
23732.72721875 |
transcript.pyannote[2512].speaker |
SPEAKER_08 |
transcript.pyannote[2512].start |
23733.87471875 |
transcript.pyannote[2512].end |
23737.36784375 |
transcript.pyannote[2513].speaker |
SPEAKER_08 |
transcript.pyannote[2513].start |
23737.89096875 |
transcript.pyannote[2513].end |
23741.78909375 |
transcript.pyannote[2514].speaker |
SPEAKER_23 |
transcript.pyannote[2514].start |
23741.78909375 |
transcript.pyannote[2514].end |
23741.83971875 |
transcript.pyannote[2515].speaker |
SPEAKER_08 |
transcript.pyannote[2515].start |
23741.83971875 |
transcript.pyannote[2515].end |
23741.85659375 |
transcript.pyannote[2516].speaker |
SPEAKER_23 |
transcript.pyannote[2516].start |
23743.98284375 |
transcript.pyannote[2516].end |
23758.41096875 |
transcript.pyannote[2517].speaker |
SPEAKER_23 |
transcript.pyannote[2517].start |
23759.15346875 |
transcript.pyannote[2517].end |
23761.95471875 |
transcript.pyannote[2518].speaker |
SPEAKER_03 |
transcript.pyannote[2518].start |
23759.52471875 |
transcript.pyannote[2518].end |
23759.74409375 |
transcript.pyannote[2519].speaker |
SPEAKER_23 |
transcript.pyannote[2519].start |
23762.83221875 |
transcript.pyannote[2519].end |
23766.03846875 |
transcript.pyannote[2520].speaker |
SPEAKER_23 |
transcript.pyannote[2520].start |
23767.47284375 |
transcript.pyannote[2520].end |
23772.01221875 |
transcript.pyannote[2521].speaker |
SPEAKER_23 |
transcript.pyannote[2521].start |
23772.73784375 |
transcript.pyannote[2521].end |
23777.76659375 |
transcript.pyannote[2522].speaker |
SPEAKER_23 |
transcript.pyannote[2522].start |
23784.70221875 |
transcript.pyannote[2522].end |
23786.25471875 |
transcript.pyannote[2523].speaker |
SPEAKER_17 |
transcript.pyannote[2523].start |
23790.77721875 |
transcript.pyannote[2523].end |
23790.79409375 |
transcript.pyannote[2524].speaker |
SPEAKER_19 |
transcript.pyannote[2524].start |
23790.79409375 |
transcript.pyannote[2524].end |
23797.12221875 |
transcript.pyannote[2525].speaker |
SPEAKER_04 |
transcript.pyannote[2525].start |
23791.95846875 |
transcript.pyannote[2525].end |
23796.58221875 |
transcript.pyannote[2526].speaker |
SPEAKER_23 |
transcript.pyannote[2526].start |
23796.58221875 |
transcript.pyannote[2526].end |
23796.61596875 |
transcript.pyannote[2527].speaker |
SPEAKER_23 |
transcript.pyannote[2527].start |
23801.84721875 |
transcript.pyannote[2527].end |
23803.82159375 |
transcript.pyannote[2528].speaker |
SPEAKER_23 |
transcript.pyannote[2528].start |
23805.76221875 |
transcript.pyannote[2528].end |
23806.57221875 |
transcript.pyannote[2529].speaker |
SPEAKER_23 |
transcript.pyannote[2529].start |
23806.77471875 |
transcript.pyannote[2529].end |
23807.31471875 |
transcript.pyannote[2530].speaker |
SPEAKER_23 |
transcript.pyannote[2530].start |
23807.87159375 |
transcript.pyannote[2530].end |
23809.62659375 |
transcript.pyannote[2531].speaker |
SPEAKER_23 |
transcript.pyannote[2531].start |
23809.96409375 |
transcript.pyannote[2531].end |
23810.65596875 |
transcript.pyannote[2532].speaker |
SPEAKER_23 |
transcript.pyannote[2532].start |
23811.39846875 |
transcript.pyannote[2532].end |
23812.03971875 |
transcript.pyannote[2533].speaker |
SPEAKER_23 |
transcript.pyannote[2533].start |
23816.00534375 |
transcript.pyannote[2533].end |
23824.15596875 |
transcript.pyannote[2534].speaker |
SPEAKER_04 |
transcript.pyannote[2534].start |
23826.50159375 |
transcript.pyannote[2534].end |
23828.69534375 |
transcript.pyannote[2535].speaker |
SPEAKER_23 |
transcript.pyannote[2535].start |
23829.30284375 |
transcript.pyannote[2535].end |
23837.25096875 |
transcript.pyannote[2536].speaker |
SPEAKER_23 |
transcript.pyannote[2536].start |
23837.89221875 |
transcript.pyannote[2536].end |
23838.29721875 |
transcript.pyannote[2537].speaker |
SPEAKER_23 |
transcript.pyannote[2537].start |
23839.66409375 |
transcript.pyannote[2537].end |
23840.50784375 |
transcript.pyannote[2538].speaker |
SPEAKER_04 |
transcript.pyannote[2538].start |
23840.50784375 |
transcript.pyannote[2538].end |
23843.52846875 |
transcript.pyannote[2539].speaker |
SPEAKER_23 |
transcript.pyannote[2539].start |
23841.36846875 |
transcript.pyannote[2539].end |
23841.45284375 |
transcript.pyannote[2540].speaker |
SPEAKER_23 |
transcript.pyannote[2540].start |
23842.97159375 |
transcript.pyannote[2540].end |
23859.96471875 |
transcript.pyannote[2541].speaker |
SPEAKER_04 |
transcript.pyannote[2541].start |
23859.37409375 |
transcript.pyannote[2541].end |
23862.00659375 |
transcript.pyannote[2542].speaker |
SPEAKER_23 |
transcript.pyannote[2542].start |
23862.09096875 |
transcript.pyannote[2542].end |
23862.66471875 |
transcript.pyannote[2543].speaker |
SPEAKER_23 |
transcript.pyannote[2543].start |
23862.79971875 |
transcript.pyannote[2543].end |
23875.42221875 |
transcript.pyannote[2544].speaker |
SPEAKER_17 |
transcript.pyannote[2544].start |
23879.96159375 |
transcript.pyannote[2544].end |
23881.19346875 |
transcript.pyannote[2545].speaker |
SPEAKER_17 |
transcript.pyannote[2545].start |
23882.67846875 |
transcript.pyannote[2545].end |
23883.75846875 |
transcript.pyannote[2546].speaker |
SPEAKER_23 |
transcript.pyannote[2546].start |
23889.76596875 |
transcript.pyannote[2546].end |
23890.62659375 |
transcript.pyannote[2547].speaker |
SPEAKER_10 |
transcript.pyannote[2547].start |
23890.23846875 |
transcript.pyannote[2547].end |
23890.59284375 |
transcript.pyannote[2548].speaker |
SPEAKER_10 |
transcript.pyannote[2548].start |
23890.62659375 |
transcript.pyannote[2548].end |
23892.51659375 |
transcript.pyannote[2549].speaker |
SPEAKER_10 |
transcript.pyannote[2549].start |
23892.73596875 |
transcript.pyannote[2549].end |
23892.82034375 |
transcript.pyannote[2550].speaker |
SPEAKER_23 |
transcript.pyannote[2550].start |
23892.82034375 |
transcript.pyannote[2550].end |
23892.95534375 |
transcript.pyannote[2551].speaker |
SPEAKER_10 |
transcript.pyannote[2551].start |
23892.95534375 |
transcript.pyannote[2551].end |
23894.49096875 |
transcript.pyannote[2552].speaker |
SPEAKER_09 |
transcript.pyannote[2552].start |
23894.72721875 |
transcript.pyannote[2552].end |
23897.25846875 |
transcript.pyannote[2553].speaker |
SPEAKER_17 |
transcript.pyannote[2553].start |
24739.69221875 |
transcript.pyannote[2553].end |
24739.75971875 |
transcript.pyannote[2554].speaker |
SPEAKER_19 |
transcript.pyannote[2554].start |
24739.75971875 |
transcript.pyannote[2554].end |
24739.94534375 |
transcript.pyannote[2555].speaker |
SPEAKER_17 |
transcript.pyannote[2555].start |
24739.94534375 |
transcript.pyannote[2555].end |
24740.19846875 |
transcript.pyannote[2556].speaker |
SPEAKER_19 |
transcript.pyannote[2556].start |
24740.19846875 |
transcript.pyannote[2556].end |
24740.26596875 |
transcript.pyannote[2557].speaker |
SPEAKER_17 |
transcript.pyannote[2557].start |
24741.00846875 |
transcript.pyannote[2557].end |
24741.02534375 |
transcript.pyannote[2558].speaker |
SPEAKER_17 |
transcript.pyannote[2558].start |
24742.18971875 |
transcript.pyannote[2558].end |
24742.35846875 |
transcript.pyannote[2559].speaker |
SPEAKER_17 |
transcript.pyannote[2559].start |
24742.49346875 |
transcript.pyannote[2559].end |
24764.70096875 |
transcript.pyannote[2560].speaker |
SPEAKER_17 |
transcript.pyannote[2560].start |
24765.17346875 |
transcript.pyannote[2560].end |
24766.48971875 |
transcript.pyannote[2561].speaker |
SPEAKER_17 |
transcript.pyannote[2561].start |
24766.96221875 |
transcript.pyannote[2561].end |
24767.26596875 |
transcript.pyannote[2562].speaker |
SPEAKER_17 |
transcript.pyannote[2562].start |
24768.19409375 |
transcript.pyannote[2562].end |
24768.46409375 |
transcript.pyannote[2563].speaker |
SPEAKER_17 |
transcript.pyannote[2563].start |
24770.06721875 |
transcript.pyannote[2563].end |
24770.82659375 |
transcript.pyannote[2564].speaker |
SPEAKER_21 |
transcript.pyannote[2564].start |
24771.04596875 |
transcript.pyannote[2564].end |
24772.53096875 |
transcript.pyannote[2565].speaker |
SPEAKER_17 |
transcript.pyannote[2565].start |
24772.53096875 |
transcript.pyannote[2565].end |
24773.86409375 |
transcript.pyannote[2566].speaker |
SPEAKER_21 |
transcript.pyannote[2566].start |
24772.54784375 |
transcript.pyannote[2566].end |
24772.80096875 |
transcript.pyannote[2567].speaker |
SPEAKER_21 |
transcript.pyannote[2567].start |
24773.18909375 |
transcript.pyannote[2567].end |
24775.19721875 |
transcript.pyannote[2568].speaker |
SPEAKER_17 |
transcript.pyannote[2568].start |
24775.80471875 |
transcript.pyannote[2568].end |
24776.12534375 |
transcript.pyannote[2569].speaker |
SPEAKER_21 |
transcript.pyannote[2569].start |
24775.99034375 |
transcript.pyannote[2569].end |
24777.35721875 |
transcript.pyannote[2570].speaker |
SPEAKER_17 |
transcript.pyannote[2570].start |
24777.10409375 |
transcript.pyannote[2570].end |
24793.03409375 |
transcript.pyannote[2571].speaker |
SPEAKER_21 |
transcript.pyannote[2571].start |
24793.03409375 |
transcript.pyannote[2571].end |
24794.08034375 |
transcript.pyannote[2572].speaker |
SPEAKER_17 |
transcript.pyannote[2572].start |
24794.62034375 |
transcript.pyannote[2572].end |
24798.61971875 |
transcript.pyannote[2573].speaker |
SPEAKER_17 |
transcript.pyannote[2573].start |
24799.10909375 |
transcript.pyannote[2573].end |
24805.36971875 |
transcript.pyannote[2574].speaker |
SPEAKER_21 |
transcript.pyannote[2574].start |
24804.64409375 |
transcript.pyannote[2574].end |
24804.71159375 |
transcript.pyannote[2575].speaker |
SPEAKER_19 |
transcript.pyannote[2575].start |
24804.96471875 |
transcript.pyannote[2575].end |
24805.06596875 |
transcript.pyannote[2576].speaker |
SPEAKER_17 |
transcript.pyannote[2576].start |
24805.48784375 |
transcript.pyannote[2576].end |
24806.93909375 |
transcript.pyannote[2577].speaker |
SPEAKER_19 |
transcript.pyannote[2577].start |
24810.97221875 |
transcript.pyannote[2577].end |
24811.93409375 |
transcript.pyannote[2578].speaker |
SPEAKER_08 |
transcript.pyannote[2578].start |
24811.09034375 |
transcript.pyannote[2578].end |
24897.59159375 |
transcript.pyannote[2579].speaker |
SPEAKER_00 |
transcript.pyannote[2579].start |
24828.26909375 |
transcript.pyannote[2579].end |
24828.47159375 |
transcript.pyannote[2580].speaker |
SPEAKER_23 |
transcript.pyannote[2580].start |
24899.36346875 |
transcript.pyannote[2580].end |
24900.22409375 |
transcript.pyannote[2581].speaker |
SPEAKER_23 |
transcript.pyannote[2581].start |
24900.88221875 |
transcript.pyannote[2581].end |
24961.58159375 |
transcript.pyannote[2582].speaker |
SPEAKER_08 |
transcript.pyannote[2582].start |
24961.85159375 |
transcript.pyannote[2582].end |
24969.98534375 |
transcript.pyannote[2583].speaker |
SPEAKER_23 |
transcript.pyannote[2583].start |
24969.98534375 |
transcript.pyannote[2583].end |
24983.11409375 |
transcript.pyannote[2584].speaker |
SPEAKER_08 |
transcript.pyannote[2584].start |
24971.77409375 |
transcript.pyannote[2584].end |
24974.35596875 |
transcript.pyannote[2585].speaker |
SPEAKER_17 |
transcript.pyannote[2585].start |
24985.17284375 |
transcript.pyannote[2585].end |
24985.18971875 |
transcript.pyannote[2586].speaker |
SPEAKER_23 |
transcript.pyannote[2586].start |
24985.18971875 |
transcript.pyannote[2586].end |
24985.27409375 |
transcript.pyannote[2587].speaker |
SPEAKER_17 |
transcript.pyannote[2587].start |
24985.27409375 |
transcript.pyannote[2587].end |
24985.30784375 |
transcript.pyannote[2588].speaker |
SPEAKER_23 |
transcript.pyannote[2588].start |
24985.30784375 |
transcript.pyannote[2588].end |
24985.32471875 |
transcript.pyannote[2589].speaker |
SPEAKER_17 |
transcript.pyannote[2589].start |
24985.32471875 |
transcript.pyannote[2589].end |
24991.95659375 |
transcript.pyannote[2590].speaker |
SPEAKER_23 |
transcript.pyannote[2590].start |
24985.44284375 |
transcript.pyannote[2590].end |
24987.56909375 |
transcript.pyannote[2591].speaker |
SPEAKER_17 |
transcript.pyannote[2591].start |
24991.97346875 |
transcript.pyannote[2591].end |
24992.02409375 |
transcript.pyannote[2592].speaker |
SPEAKER_17 |
transcript.pyannote[2592].start |
24994.47096875 |
transcript.pyannote[2592].end |
24996.47909375 |
transcript.pyannote[2593].speaker |
SPEAKER_19 |
transcript.pyannote[2593].start |
24995.66909375 |
transcript.pyannote[2593].end |
24996.24284375 |
transcript.pyannote[2594].speaker |
SPEAKER_19 |
transcript.pyannote[2594].start |
24996.47909375 |
transcript.pyannote[2594].end |
24997.12034375 |
transcript.pyannote[2595].speaker |
SPEAKER_17 |
transcript.pyannote[2595].start |
25151.00346875 |
transcript.pyannote[2595].end |
25151.50971875 |
transcript.pyannote[2596].speaker |
SPEAKER_02 |
transcript.pyannote[2596].start |
25151.50971875 |
transcript.pyannote[2596].end |
25151.83034375 |
transcript.pyannote[2597].speaker |
SPEAKER_17 |
transcript.pyannote[2597].start |
25151.83034375 |
transcript.pyannote[2597].end |
25156.67346875 |
transcript.pyannote[2598].speaker |
SPEAKER_17 |
transcript.pyannote[2598].start |
25157.31471875 |
transcript.pyannote[2598].end |
25159.69409375 |
transcript.pyannote[2599].speaker |
SPEAKER_17 |
transcript.pyannote[2599].start |
25160.21721875 |
transcript.pyannote[2599].end |
25160.63909375 |
transcript.pyannote[2600].speaker |
SPEAKER_17 |
transcript.pyannote[2600].start |
25161.34784375 |
transcript.pyannote[2600].end |
25172.87346875 |
transcript.pyannote[2601].speaker |
SPEAKER_21 |
transcript.pyannote[2601].start |
25174.74659375 |
transcript.pyannote[2601].end |
25175.40471875 |
transcript.pyannote[2602].speaker |
SPEAKER_21 |
transcript.pyannote[2602].start |
25176.51846875 |
transcript.pyannote[2602].end |
25177.22721875 |
transcript.pyannote[2603].speaker |
SPEAKER_21 |
transcript.pyannote[2603].start |
25177.26096875 |
transcript.pyannote[2603].end |
25177.69971875 |
transcript.pyannote[2604].speaker |
SPEAKER_21 |
transcript.pyannote[2604].start |
25178.52659375 |
transcript.pyannote[2604].end |
25180.04534375 |
transcript.pyannote[2605].speaker |
SPEAKER_17 |
transcript.pyannote[2605].start |
25180.95659375 |
transcript.pyannote[2605].end |
25181.27721875 |
transcript.pyannote[2606].speaker |
SPEAKER_21 |
transcript.pyannote[2606].start |
25181.61471875 |
transcript.pyannote[2606].end |
25182.25596875 |
transcript.pyannote[2607].speaker |
SPEAKER_17 |
transcript.pyannote[2607].start |
25182.25596875 |
transcript.pyannote[2607].end |
25184.12909375 |
transcript.pyannote[2608].speaker |
SPEAKER_17 |
transcript.pyannote[2608].start |
25184.85471875 |
transcript.pyannote[2608].end |
25185.79971875 |
transcript.pyannote[2609].speaker |
SPEAKER_17 |
transcript.pyannote[2609].start |
25187.89221875 |
transcript.pyannote[2609].end |
25189.02284375 |
transcript.pyannote[2610].speaker |
SPEAKER_23 |
transcript.pyannote[2610].start |
25189.02284375 |
transcript.pyannote[2610].end |
25190.81159375 |
transcript.pyannote[2611].speaker |
SPEAKER_23 |
transcript.pyannote[2611].start |
25191.28409375 |
transcript.pyannote[2611].end |
25198.96221875 |
transcript.pyannote[2612].speaker |
SPEAKER_17 |
transcript.pyannote[2612].start |
25198.96221875 |
transcript.pyannote[2612].end |
25199.02971875 |
transcript.pyannote[2613].speaker |
SPEAKER_23 |
transcript.pyannote[2613].start |
25199.02971875 |
transcript.pyannote[2613].end |
25199.97471875 |
transcript.pyannote[2614].speaker |
SPEAKER_17 |
transcript.pyannote[2614].start |
25199.97471875 |
transcript.pyannote[2614].end |
25200.02534375 |
transcript.pyannote[2615].speaker |
SPEAKER_23 |
transcript.pyannote[2615].start |
25200.02534375 |
transcript.pyannote[2615].end |
25200.97034375 |
transcript.pyannote[2616].speaker |
SPEAKER_17 |
transcript.pyannote[2616].start |
25200.97034375 |
transcript.pyannote[2616].end |
25201.03784375 |
transcript.pyannote[2617].speaker |
SPEAKER_23 |
transcript.pyannote[2617].start |
25201.03784375 |
transcript.pyannote[2617].end |
25201.96596875 |
transcript.pyannote[2618].speaker |
SPEAKER_17 |
transcript.pyannote[2618].start |
25201.96596875 |
transcript.pyannote[2618].end |
25202.03346875 |
transcript.pyannote[2619].speaker |
SPEAKER_23 |
transcript.pyannote[2619].start |
25202.03346875 |
transcript.pyannote[2619].end |
25202.97846875 |
transcript.pyannote[2620].speaker |
SPEAKER_17 |
transcript.pyannote[2620].start |
25202.97846875 |
transcript.pyannote[2620].end |
25203.02909375 |
transcript.pyannote[2621].speaker |
SPEAKER_23 |
transcript.pyannote[2621].start |
25203.02909375 |
transcript.pyannote[2621].end |
25204.98659375 |
transcript.pyannote[2622].speaker |
SPEAKER_23 |
transcript.pyannote[2622].start |
25205.30721875 |
transcript.pyannote[2622].end |
25226.40096875 |
transcript.pyannote[2623].speaker |
SPEAKER_17 |
transcript.pyannote[2623].start |
25226.16471875 |
transcript.pyannote[2623].end |
25228.03784375 |
transcript.pyannote[2624].speaker |
SPEAKER_23 |
transcript.pyannote[2624].start |
25228.03784375 |
transcript.pyannote[2624].end |
25240.64346875 |
transcript.pyannote[2625].speaker |
SPEAKER_17 |
transcript.pyannote[2625].start |
25228.07159375 |
transcript.pyannote[2625].end |
25228.93221875 |
transcript.pyannote[2626].speaker |
SPEAKER_04 |
transcript.pyannote[2626].start |
25240.99784375 |
transcript.pyannote[2626].end |
25242.06096875 |
transcript.pyannote[2627].speaker |
SPEAKER_23 |
transcript.pyannote[2627].start |
25242.06096875 |
transcript.pyannote[2627].end |
25244.03534375 |
transcript.pyannote[2628].speaker |
SPEAKER_04 |
transcript.pyannote[2628].start |
25242.07784375 |
transcript.pyannote[2628].end |
25242.48284375 |
transcript.pyannote[2629].speaker |
SPEAKER_17 |
transcript.pyannote[2629].start |
25242.61784375 |
transcript.pyannote[2629].end |
25243.69784375 |
transcript.pyannote[2630].speaker |
SPEAKER_17 |
transcript.pyannote[2630].start |
25244.03534375 |
transcript.pyannote[2630].end |
25245.79034375 |
transcript.pyannote[2631].speaker |
SPEAKER_17 |
transcript.pyannote[2631].start |
25245.92534375 |
transcript.pyannote[2631].end |
25245.97596875 |
transcript.pyannote[2632].speaker |
SPEAKER_23 |
transcript.pyannote[2632].start |
25245.97596875 |
transcript.pyannote[2632].end |
25262.39534375 |
transcript.pyannote[2633].speaker |
SPEAKER_17 |
transcript.pyannote[2633].start |
25246.38096875 |
transcript.pyannote[2633].end |
25247.19096875 |
transcript.pyannote[2634].speaker |
SPEAKER_23 |
transcript.pyannote[2634].start |
25264.15034375 |
transcript.pyannote[2634].end |
25266.04034375 |
transcript.pyannote[2635].speaker |
SPEAKER_23 |
transcript.pyannote[2635].start |
25266.95159375 |
transcript.pyannote[2635].end |
25269.21284375 |
transcript.pyannote[2636].speaker |
SPEAKER_19 |
transcript.pyannote[2636].start |
25267.12034375 |
transcript.pyannote[2636].end |
25267.66034375 |
transcript.pyannote[2637].speaker |
SPEAKER_23 |
transcript.pyannote[2637].start |
25269.78659375 |
transcript.pyannote[2637].end |
25273.39784375 |
transcript.pyannote[2638].speaker |
SPEAKER_17 |
transcript.pyannote[2638].start |
25281.24471875 |
transcript.pyannote[2638].end |
25282.81409375 |
transcript.pyannote[2639].speaker |
SPEAKER_21 |
transcript.pyannote[2639].start |
25283.32034375 |
transcript.pyannote[2639].end |
25284.75471875 |
transcript.pyannote[2640].speaker |
SPEAKER_21 |
transcript.pyannote[2640].start |
25286.94846875 |
transcript.pyannote[2640].end |
25286.99909375 |
transcript.pyannote[2641].speaker |
SPEAKER_23 |
transcript.pyannote[2641].start |
25286.99909375 |
transcript.pyannote[2641].end |
25289.00721875 |
transcript.pyannote[2642].speaker |
SPEAKER_23 |
transcript.pyannote[2642].start |
25289.47971875 |
transcript.pyannote[2642].end |
25294.57596875 |
transcript.pyannote[2643].speaker |
SPEAKER_17 |
transcript.pyannote[2643].start |
25294.57596875 |
transcript.pyannote[2643].end |
25294.59284375 |
transcript.pyannote[2644].speaker |
SPEAKER_23 |
transcript.pyannote[2644].start |
25295.82471875 |
transcript.pyannote[2644].end |
25295.97659375 |
transcript.pyannote[2645].speaker |
SPEAKER_17 |
transcript.pyannote[2645].start |
25295.97659375 |
transcript.pyannote[2645].end |
25299.80721875 |
transcript.pyannote[2646].speaker |
SPEAKER_17 |
transcript.pyannote[2646].start |
25301.74784375 |
transcript.pyannote[2646].end |
25308.59909375 |
transcript.pyannote[2647].speaker |
SPEAKER_17 |
transcript.pyannote[2647].start |
25309.02096875 |
transcript.pyannote[2647].end |
25312.90221875 |
transcript.pyannote[2648].speaker |
SPEAKER_19 |
transcript.pyannote[2648].start |
25310.75909375 |
transcript.pyannote[2648].end |
25311.16409375 |
transcript.pyannote[2649].speaker |
SPEAKER_21 |
transcript.pyannote[2649].start |
25311.16409375 |
transcript.pyannote[2649].end |
25311.19784375 |
transcript.pyannote[2650].speaker |
SPEAKER_21 |
transcript.pyannote[2650].start |
25312.90221875 |
transcript.pyannote[2650].end |
25312.95284375 |
transcript.pyannote[2651].speaker |
SPEAKER_21 |
transcript.pyannote[2651].start |
25314.43784375 |
transcript.pyannote[2651].end |
25314.50534375 |
transcript.pyannote[2652].speaker |
SPEAKER_17 |
transcript.pyannote[2652].start |
25314.50534375 |
transcript.pyannote[2652].end |
25314.96096875 |
transcript.pyannote[2653].speaker |
SPEAKER_21 |
transcript.pyannote[2653].start |
25314.96096875 |
transcript.pyannote[2653].end |
25316.31096875 |
transcript.pyannote[2654].speaker |
SPEAKER_17 |
transcript.pyannote[2654].start |
25316.49659375 |
transcript.pyannote[2654].end |
25318.57221875 |
transcript.pyannote[2655].speaker |
SPEAKER_17 |
transcript.pyannote[2655].start |
25319.63534375 |
transcript.pyannote[2655].end |
25320.12471875 |
transcript.pyannote[2656].speaker |
SPEAKER_21 |
transcript.pyannote[2656].start |
25320.52971875 |
transcript.pyannote[2656].end |
25320.88409375 |
transcript.pyannote[2657].speaker |
SPEAKER_17 |
transcript.pyannote[2657].start |
25320.88409375 |
transcript.pyannote[2657].end |
25321.96409375 |
transcript.pyannote[2658].speaker |
SPEAKER_17 |
transcript.pyannote[2658].start |
25323.06096875 |
transcript.pyannote[2658].end |
25323.39846875 |
transcript.pyannote[2659].speaker |
SPEAKER_17 |
transcript.pyannote[2659].start |
25324.34346875 |
transcript.pyannote[2659].end |
25328.00534375 |
transcript.pyannote[2660].speaker |
SPEAKER_21 |
transcript.pyannote[2660].start |
25334.83971875 |
transcript.pyannote[2660].end |
25338.99096875 |
transcript.pyannote[2661].speaker |
SPEAKER_21 |
transcript.pyannote[2661].start |
25340.50971875 |
transcript.pyannote[2661].end |
25342.39971875 |
transcript.pyannote[2662].speaker |
SPEAKER_21 |
transcript.pyannote[2662].start |
25342.72034375 |
transcript.pyannote[2662].end |
25345.92659375 |
transcript.pyannote[2663].speaker |
SPEAKER_21 |
transcript.pyannote[2663].start |
25346.56784375 |
transcript.pyannote[2663].end |
25347.51284375 |
transcript.pyannote[2664].speaker |
SPEAKER_21 |
transcript.pyannote[2664].start |
25347.86721875 |
transcript.pyannote[2664].end |
25349.67284375 |
transcript.pyannote[2665].speaker |
SPEAKER_21 |
transcript.pyannote[2665].start |
25350.60096875 |
transcript.pyannote[2665].end |
25350.88784375 |
transcript.pyannote[2666].speaker |
SPEAKER_21 |
transcript.pyannote[2666].start |
25351.54596875 |
transcript.pyannote[2666].end |
25352.99721875 |
transcript.pyannote[2667].speaker |
SPEAKER_21 |
transcript.pyannote[2667].start |
25354.22909375 |
transcript.pyannote[2667].end |
25354.78596875 |
transcript.pyannote[2668].speaker |
SPEAKER_21 |
transcript.pyannote[2668].start |
25355.12346875 |
transcript.pyannote[2668].end |
25356.45659375 |
transcript.pyannote[2669].speaker |
SPEAKER_21 |
transcript.pyannote[2669].start |
25357.43534375 |
transcript.pyannote[2669].end |
25359.00471875 |
transcript.pyannote[2670].speaker |
SPEAKER_21 |
transcript.pyannote[2670].start |
25359.46034375 |
transcript.pyannote[2670].end |
25360.23659375 |
transcript.pyannote[2671].speaker |
SPEAKER_21 |
transcript.pyannote[2671].start |
25360.70909375 |
transcript.pyannote[2671].end |
25362.48096875 |
transcript.pyannote[2672].speaker |
SPEAKER_21 |
transcript.pyannote[2672].start |
25365.68721875 |
transcript.pyannote[2672].end |
25367.47596875 |
transcript.pyannote[2673].speaker |
SPEAKER_21 |
transcript.pyannote[2673].start |
25368.62346875 |
transcript.pyannote[2673].end |
25370.59784375 |
transcript.pyannote[2674].speaker |
SPEAKER_21 |
transcript.pyannote[2674].start |
25371.47534375 |
transcript.pyannote[2674].end |
25376.38596875 |
transcript.pyannote[2675].speaker |
SPEAKER_21 |
transcript.pyannote[2675].start |
25377.70221875 |
transcript.pyannote[2675].end |
25380.25034375 |
transcript.pyannote[2676].speaker |
SPEAKER_21 |
transcript.pyannote[2676].start |
25381.19534375 |
transcript.pyannote[2676].end |
25384.11471875 |
transcript.pyannote[2677].speaker |
SPEAKER_21 |
transcript.pyannote[2677].start |
25384.65471875 |
transcript.pyannote[2677].end |
25386.03846875 |
transcript.pyannote[2678].speaker |
SPEAKER_21 |
transcript.pyannote[2678].start |
25386.47721875 |
transcript.pyannote[2678].end |
25387.35471875 |
transcript.pyannote[2679].speaker |
SPEAKER_21 |
transcript.pyannote[2679].start |
25389.83534375 |
transcript.pyannote[2679].end |
25390.47659375 |
transcript.pyannote[2680].speaker |
SPEAKER_21 |
transcript.pyannote[2680].start |
25392.82221875 |
transcript.pyannote[2680].end |
25396.06221875 |
transcript.pyannote[2681].speaker |
SPEAKER_21 |
transcript.pyannote[2681].start |
25396.99034375 |
transcript.pyannote[2681].end |
25397.47971875 |
transcript.pyannote[2682].speaker |
SPEAKER_21 |
transcript.pyannote[2682].start |
25398.12096875 |
transcript.pyannote[2682].end |
25398.49221875 |
transcript.pyannote[2683].speaker |
SPEAKER_21 |
transcript.pyannote[2683].start |
25399.84221875 |
transcript.pyannote[2683].end |
25406.03534375 |
transcript.pyannote[2684].speaker |
SPEAKER_21 |
transcript.pyannote[2684].start |
25406.18721875 |
transcript.pyannote[2684].end |
25406.67659375 |
transcript.pyannote[2685].speaker |
SPEAKER_21 |
transcript.pyannote[2685].start |
25407.82409375 |
transcript.pyannote[2685].end |
25408.73534375 |
transcript.pyannote[2686].speaker |
SPEAKER_21 |
transcript.pyannote[2686].start |
25410.00096875 |
transcript.pyannote[2686].end |
25410.43971875 |
transcript.pyannote[2687].speaker |
SPEAKER_21 |
transcript.pyannote[2687].start |
25410.91221875 |
transcript.pyannote[2687].end |
25411.41846875 |
transcript.pyannote[2688].speaker |
SPEAKER_21 |
transcript.pyannote[2688].start |
25411.72221875 |
transcript.pyannote[2688].end |
25414.11846875 |
transcript.pyannote[2689].speaker |
SPEAKER_21 |
transcript.pyannote[2689].start |
25414.37159375 |
transcript.pyannote[2689].end |
25414.86096875 |
transcript.pyannote[2690].speaker |
SPEAKER_21 |
transcript.pyannote[2690].start |
25414.99596875 |
transcript.pyannote[2690].end |
25417.51034375 |
transcript.pyannote[2691].speaker |
SPEAKER_21 |
transcript.pyannote[2691].start |
25418.75909375 |
transcript.pyannote[2691].end |
25419.50159375 |
transcript.pyannote[2692].speaker |
SPEAKER_21 |
transcript.pyannote[2692].start |
25420.75034375 |
transcript.pyannote[2692].end |
25423.07909375 |
transcript.pyannote[2693].speaker |
SPEAKER_21 |
transcript.pyannote[2693].start |
25424.59784375 |
transcript.pyannote[2693].end |
25426.35284375 |
transcript.pyannote[2694].speaker |
SPEAKER_21 |
transcript.pyannote[2694].start |
25426.50471875 |
transcript.pyannote[2694].end |
25427.24721875 |
transcript.pyannote[2695].speaker |
SPEAKER_21 |
transcript.pyannote[2695].start |
25428.36096875 |
transcript.pyannote[2695].end |
25431.41534375 |
transcript.pyannote[2696].speaker |
SPEAKER_21 |
transcript.pyannote[2696].start |
25432.17471875 |
transcript.pyannote[2696].end |
25433.86221875 |
transcript.pyannote[2697].speaker |
SPEAKER_21 |
transcript.pyannote[2697].start |
25435.00971875 |
transcript.pyannote[2697].end |
25436.41034375 |
transcript.pyannote[2698].speaker |
SPEAKER_21 |
transcript.pyannote[2698].start |
25436.74784375 |
transcript.pyannote[2698].end |
25437.65909375 |
transcript.pyannote[2699].speaker |
SPEAKER_21 |
transcript.pyannote[2699].start |
25437.84471875 |
transcript.pyannote[2699].end |
25440.13971875 |
transcript.pyannote[2700].speaker |
SPEAKER_21 |
transcript.pyannote[2700].start |
25441.11846875 |
transcript.pyannote[2700].end |
25441.86096875 |
transcript.pyannote[2701].speaker |
SPEAKER_21 |
transcript.pyannote[2701].start |
25442.80596875 |
transcript.pyannote[2701].end |
25447.96971875 |
transcript.pyannote[2702].speaker |
SPEAKER_21 |
transcript.pyannote[2702].start |
25448.29034375 |
transcript.pyannote[2702].end |
25450.43346875 |
transcript.pyannote[2703].speaker |
SPEAKER_21 |
transcript.pyannote[2703].start |
25452.67784375 |
transcript.pyannote[2703].end |
25453.30221875 |
transcript.pyannote[2704].speaker |
SPEAKER_21 |
transcript.pyannote[2704].start |
25454.34846875 |
transcript.pyannote[2704].end |
25459.39409375 |
transcript.pyannote[2705].speaker |
SPEAKER_21 |
transcript.pyannote[2705].start |
25463.14034375 |
transcript.pyannote[2705].end |
25466.48159375 |
transcript.pyannote[2706].speaker |
SPEAKER_21 |
transcript.pyannote[2706].start |
25467.57846875 |
transcript.pyannote[2706].end |
25469.60346875 |
transcript.pyannote[2707].speaker |
SPEAKER_21 |
transcript.pyannote[2707].start |
25470.66659375 |
transcript.pyannote[2707].end |
25471.57784375 |
transcript.pyannote[2708].speaker |
SPEAKER_21 |
transcript.pyannote[2708].start |
25471.78034375 |
transcript.pyannote[2708].end |
25473.06284375 |
transcript.pyannote[2709].speaker |
SPEAKER_21 |
transcript.pyannote[2709].start |
25474.00784375 |
transcript.pyannote[2709].end |
25475.25659375 |
transcript.pyannote[2710].speaker |
SPEAKER_21 |
transcript.pyannote[2710].start |
25476.11721875 |
transcript.pyannote[2710].end |
25480.52159375 |
transcript.pyannote[2711].speaker |
SPEAKER_21 |
transcript.pyannote[2711].start |
25483.40721875 |
transcript.pyannote[2711].end |
25483.94721875 |
transcript.pyannote[2712].speaker |
SPEAKER_21 |
transcript.pyannote[2712].start |
25484.75721875 |
transcript.pyannote[2712].end |
25489.66784375 |
transcript.pyannote[2713].speaker |
SPEAKER_21 |
transcript.pyannote[2713].start |
25490.66346875 |
transcript.pyannote[2713].end |
25495.79346875 |
transcript.pyannote[2714].speaker |
SPEAKER_21 |
transcript.pyannote[2714].start |
25497.70034375 |
transcript.pyannote[2714].end |
25510.67721875 |
transcript.pyannote[2715].speaker |
SPEAKER_21 |
transcript.pyannote[2715].start |
25511.80784375 |
transcript.pyannote[2715].end |
25513.37721875 |
transcript.pyannote[2716].speaker |
SPEAKER_21 |
transcript.pyannote[2716].start |
25513.96784375 |
transcript.pyannote[2716].end |
25515.16596875 |
transcript.pyannote[2717].speaker |
SPEAKER_21 |
transcript.pyannote[2717].start |
25515.53721875 |
transcript.pyannote[2717].end |
25518.60846875 |
transcript.pyannote[2718].speaker |
SPEAKER_21 |
transcript.pyannote[2718].start |
25520.04284375 |
transcript.pyannote[2718].end |
25520.98784375 |
transcript.pyannote[2719].speaker |
SPEAKER_21 |
transcript.pyannote[2719].start |
25521.17346875 |
transcript.pyannote[2719].end |
25522.03409375 |
transcript.pyannote[2720].speaker |
SPEAKER_21 |
transcript.pyannote[2720].start |
25522.87784375 |
transcript.pyannote[2720].end |
25524.31221875 |
transcript.pyannote[2721].speaker |
SPEAKER_21 |
transcript.pyannote[2721].start |
25525.29096875 |
transcript.pyannote[2721].end |
25529.32409375 |
transcript.pyannote[2722].speaker |
SPEAKER_21 |
transcript.pyannote[2722].start |
25529.59409375 |
transcript.pyannote[2722].end |
25533.22221875 |
transcript.pyannote[2723].speaker |
SPEAKER_21 |
transcript.pyannote[2723].start |
25534.84221875 |
transcript.pyannote[2723].end |
25536.51284375 |
transcript.pyannote[2724].speaker |
SPEAKER_21 |
transcript.pyannote[2724].start |
25537.22159375 |
transcript.pyannote[2724].end |
25541.74409375 |
transcript.pyannote[2725].speaker |
SPEAKER_21 |
transcript.pyannote[2725].start |
25542.97596875 |
transcript.pyannote[2725].end |
25546.99221875 |
transcript.pyannote[2726].speaker |
SPEAKER_21 |
transcript.pyannote[2726].start |
25549.05096875 |
transcript.pyannote[2726].end |
25549.65846875 |
transcript.pyannote[2727].speaker |
SPEAKER_21 |
transcript.pyannote[2727].start |
25550.28284375 |
transcript.pyannote[2727].end |
25551.48096875 |
transcript.pyannote[2728].speaker |
SPEAKER_21 |
transcript.pyannote[2728].start |
25551.95346875 |
transcript.pyannote[2728].end |
25553.67471875 |
transcript.pyannote[2729].speaker |
SPEAKER_21 |
transcript.pyannote[2729].start |
25553.92784375 |
transcript.pyannote[2729].end |
25554.73784375 |
transcript.pyannote[2730].speaker |
SPEAKER_21 |
transcript.pyannote[2730].start |
25554.94034375 |
transcript.pyannote[2730].end |
25555.73346875 |
transcript.pyannote[2731].speaker |
SPEAKER_21 |
transcript.pyannote[2731].start |
25558.48409375 |
transcript.pyannote[2731].end |
25560.23909375 |
transcript.pyannote[2732].speaker |
SPEAKER_21 |
transcript.pyannote[2732].start |
25561.50471875 |
transcript.pyannote[2732].end |
25561.84221875 |
transcript.pyannote[2733].speaker |
SPEAKER_21 |
transcript.pyannote[2733].start |
25562.51721875 |
transcript.pyannote[2733].end |
25572.82784375 |
transcript.pyannote[2734].speaker |
SPEAKER_21 |
transcript.pyannote[2734].start |
25574.14409375 |
transcript.pyannote[2734].end |
25584.38721875 |
transcript.pyannote[2735].speaker |
SPEAKER_21 |
transcript.pyannote[2735].start |
25586.29409375 |
transcript.pyannote[2735].end |
25587.42471875 |
transcript.pyannote[2736].speaker |
SPEAKER_21 |
transcript.pyannote[2736].start |
25588.20096875 |
transcript.pyannote[2736].end |
25588.45409375 |
transcript.pyannote[2737].speaker |
SPEAKER_21 |
transcript.pyannote[2737].start |
25588.92659375 |
transcript.pyannote[2737].end |
25591.50846875 |
transcript.pyannote[2738].speaker |
SPEAKER_21 |
transcript.pyannote[2738].start |
25592.21721875 |
transcript.pyannote[2738].end |
25594.37721875 |
transcript.pyannote[2739].speaker |
SPEAKER_21 |
transcript.pyannote[2739].start |
25595.81159375 |
transcript.pyannote[2739].end |
25601.32971875 |
transcript.pyannote[2740].speaker |
SPEAKER_21 |
transcript.pyannote[2740].start |
25602.86534375 |
transcript.pyannote[2740].end |
25604.56971875 |
transcript.pyannote[2741].speaker |
SPEAKER_21 |
transcript.pyannote[2741].start |
25604.83971875 |
transcript.pyannote[2741].end |
25605.31221875 |
transcript.pyannote[2742].speaker |
SPEAKER_21 |
transcript.pyannote[2742].start |
25606.45971875 |
transcript.pyannote[2742].end |
25607.65784375 |
transcript.pyannote[2743].speaker |
SPEAKER_21 |
transcript.pyannote[2743].start |
25608.24846875 |
transcript.pyannote[2743].end |
25611.91034375 |
transcript.pyannote[2744].speaker |
SPEAKER_21 |
transcript.pyannote[2744].start |
25613.63159375 |
transcript.pyannote[2744].end |
25615.57221875 |
transcript.pyannote[2745].speaker |
SPEAKER_21 |
transcript.pyannote[2745].start |
25616.48346875 |
transcript.pyannote[2745].end |
25618.81221875 |
transcript.pyannote[2746].speaker |
SPEAKER_21 |
transcript.pyannote[2746].start |
25619.36909375 |
transcript.pyannote[2746].end |
25623.30096875 |
transcript.pyannote[2747].speaker |
SPEAKER_21 |
transcript.pyannote[2747].start |
25623.77346875 |
transcript.pyannote[2747].end |
25625.19096875 |
transcript.pyannote[2748].speaker |
SPEAKER_21 |
transcript.pyannote[2748].start |
25626.15284375 |
transcript.pyannote[2748].end |
25628.04284375 |
transcript.pyannote[2749].speaker |
SPEAKER_21 |
transcript.pyannote[2749].start |
25628.43096875 |
transcript.pyannote[2749].end |
25629.05534375 |
transcript.pyannote[2750].speaker |
SPEAKER_21 |
transcript.pyannote[2750].start |
25629.30846875 |
transcript.pyannote[2750].end |
25630.40534375 |
transcript.pyannote[2751].speaker |
SPEAKER_21 |
transcript.pyannote[2751].start |
25630.45596875 |
transcript.pyannote[2751].end |
25633.30784375 |
transcript.pyannote[2752].speaker |
SPEAKER_21 |
transcript.pyannote[2752].start |
25640.04096875 |
transcript.pyannote[2752].end |
25643.21346875 |
transcript.pyannote[2753].speaker |
SPEAKER_21 |
transcript.pyannote[2753].start |
25643.66909375 |
transcript.pyannote[2753].end |
25644.81659375 |
transcript.pyannote[2754].speaker |
SPEAKER_21 |
transcript.pyannote[2754].start |
25645.25534375 |
transcript.pyannote[2754].end |
25646.36909375 |
transcript.pyannote[2755].speaker |
SPEAKER_21 |
transcript.pyannote[2755].start |
25647.14534375 |
transcript.pyannote[2755].end |
25648.81596875 |
transcript.pyannote[2756].speaker |
SPEAKER_21 |
transcript.pyannote[2756].start |
25649.55846875 |
transcript.pyannote[2756].end |
25652.57909375 |
transcript.pyannote[2757].speaker |
SPEAKER_21 |
transcript.pyannote[2757].start |
25653.89534375 |
transcript.pyannote[2757].end |
25659.97034375 |
transcript.pyannote[2758].speaker |
SPEAKER_21 |
transcript.pyannote[2758].start |
25662.13034375 |
transcript.pyannote[2758].end |
25663.80096875 |
transcript.pyannote[2759].speaker |
SPEAKER_21 |
transcript.pyannote[2759].start |
25664.52659375 |
transcript.pyannote[2759].end |
25665.85971875 |
transcript.pyannote[2760].speaker |
SPEAKER_21 |
transcript.pyannote[2760].start |
25666.39971875 |
transcript.pyannote[2760].end |
25669.94346875 |
transcript.pyannote[2761].speaker |
SPEAKER_21 |
transcript.pyannote[2761].start |
25671.09096875 |
transcript.pyannote[2761].end |
25680.42284375 |
transcript.pyannote[2762].speaker |
SPEAKER_21 |
transcript.pyannote[2762].start |
25681.13159375 |
transcript.pyannote[2762].end |
25689.09659375 |
transcript.pyannote[2763].speaker |
SPEAKER_21 |
transcript.pyannote[2763].start |
25689.58596875 |
transcript.pyannote[2763].end |
25699.52534375 |
transcript.pyannote[2764].speaker |
SPEAKER_21 |
transcript.pyannote[2764].start |
25700.47034375 |
transcript.pyannote[2764].end |
25703.42346875 |
transcript.pyannote[2765].speaker |
SPEAKER_21 |
transcript.pyannote[2765].start |
25704.13221875 |
transcript.pyannote[2765].end |
25704.79034375 |
transcript.pyannote[2766].speaker |
SPEAKER_21 |
transcript.pyannote[2766].start |
25705.09409375 |
transcript.pyannote[2766].end |
25706.22471875 |
transcript.pyannote[2767].speaker |
SPEAKER_21 |
transcript.pyannote[2767].start |
25706.39346875 |
transcript.pyannote[2767].end |
25708.06409375 |
transcript.pyannote[2768].speaker |
SPEAKER_21 |
transcript.pyannote[2768].start |
25709.29596875 |
transcript.pyannote[2768].end |
25711.42221875 |
transcript.pyannote[2769].speaker |
SPEAKER_21 |
transcript.pyannote[2769].start |
25711.81034375 |
transcript.pyannote[2769].end |
25713.21096875 |
transcript.pyannote[2770].speaker |
SPEAKER_21 |
transcript.pyannote[2770].start |
25713.64971875 |
transcript.pyannote[2770].end |
25715.79284375 |
transcript.pyannote[2771].speaker |
SPEAKER_21 |
transcript.pyannote[2771].start |
25715.96159375 |
transcript.pyannote[2771].end |
25717.59846875 |
transcript.pyannote[2772].speaker |
SPEAKER_21 |
transcript.pyannote[2772].start |
25718.88096875 |
transcript.pyannote[2772].end |
25722.54284375 |
transcript.pyannote[2773].speaker |
SPEAKER_21 |
transcript.pyannote[2773].start |
25723.63971875 |
transcript.pyannote[2773].end |
25724.82096875 |
transcript.pyannote[2774].speaker |
SPEAKER_21 |
transcript.pyannote[2774].start |
25724.90534375 |
transcript.pyannote[2774].end |
25729.46159375 |
transcript.pyannote[2775].speaker |
SPEAKER_21 |
transcript.pyannote[2775].start |
25731.09846875 |
transcript.pyannote[2775].end |
25734.47346875 |
transcript.pyannote[2776].speaker |
SPEAKER_21 |
transcript.pyannote[2776].start |
25734.89534375 |
transcript.pyannote[2776].end |
25735.55346875 |
transcript.pyannote[2777].speaker |
SPEAKER_21 |
transcript.pyannote[2777].start |
25736.27909375 |
transcript.pyannote[2777].end |
25739.72159375 |
transcript.pyannote[2778].speaker |
SPEAKER_21 |
transcript.pyannote[2778].start |
25740.34596875 |
transcript.pyannote[2778].end |
25740.73409375 |
transcript.pyannote[2779].speaker |
SPEAKER_21 |
transcript.pyannote[2779].start |
25741.00409375 |
transcript.pyannote[2779].end |
25742.28659375 |
transcript.pyannote[2780].speaker |
SPEAKER_21 |
transcript.pyannote[2780].start |
25746.91034375 |
transcript.pyannote[2780].end |
25751.34846875 |
transcript.pyannote[2781].speaker |
SPEAKER_21 |
transcript.pyannote[2781].start |
25751.80409375 |
transcript.pyannote[2781].end |
25754.40284375 |
transcript.pyannote[2782].speaker |
SPEAKER_21 |
transcript.pyannote[2782].start |
25755.71909375 |
transcript.pyannote[2782].end |
25758.62159375 |
transcript.pyannote[2783].speaker |
SPEAKER_21 |
transcript.pyannote[2783].start |
25759.11096875 |
transcript.pyannote[2783].end |
25760.41034375 |
transcript.pyannote[2784].speaker |
SPEAKER_21 |
transcript.pyannote[2784].start |
25761.11909375 |
transcript.pyannote[2784].end |
25770.16409375 |
transcript.pyannote[2785].speaker |
SPEAKER_21 |
transcript.pyannote[2785].start |
25770.46784375 |
transcript.pyannote[2785].end |
25774.14659375 |
transcript.pyannote[2786].speaker |
SPEAKER_21 |
transcript.pyannote[2786].start |
25774.97346875 |
transcript.pyannote[2786].end |
25775.98596875 |
transcript.pyannote[2787].speaker |
SPEAKER_21 |
transcript.pyannote[2787].start |
25776.47534375 |
transcript.pyannote[2787].end |
25777.16721875 |
transcript.pyannote[2788].speaker |
SPEAKER_21 |
transcript.pyannote[2788].start |
25777.60596875 |
transcript.pyannote[2788].end |
25779.17534375 |
transcript.pyannote[2789].speaker |
SPEAKER_21 |
transcript.pyannote[2789].start |
25779.68159375 |
transcript.pyannote[2789].end |
25783.83284375 |
transcript.pyannote[2790].speaker |
SPEAKER_21 |
transcript.pyannote[2790].start |
25784.47409375 |
transcript.pyannote[2790].end |
25788.72659375 |
transcript.pyannote[2791].speaker |
SPEAKER_21 |
transcript.pyannote[2791].start |
25789.14846875 |
transcript.pyannote[2791].end |
25789.80659375 |
transcript.pyannote[2792].speaker |
SPEAKER_21 |
transcript.pyannote[2792].start |
25792.86096875 |
transcript.pyannote[2792].end |
25794.98721875 |
transcript.pyannote[2793].speaker |
SPEAKER_21 |
transcript.pyannote[2793].start |
25797.70409375 |
transcript.pyannote[2793].end |
25802.68221875 |
transcript.pyannote[2794].speaker |
SPEAKER_21 |
transcript.pyannote[2794].start |
25803.47534375 |
transcript.pyannote[2794].end |
25807.20471875 |
transcript.pyannote[2795].speaker |
SPEAKER_21 |
transcript.pyannote[2795].start |
25807.59284375 |
transcript.pyannote[2795].end |
25810.73159375 |
transcript.pyannote[2796].speaker |
SPEAKER_21 |
transcript.pyannote[2796].start |
25811.67659375 |
transcript.pyannote[2796].end |
25813.39784375 |
transcript.pyannote[2797].speaker |
SPEAKER_21 |
transcript.pyannote[2797].start |
25814.51159375 |
transcript.pyannote[2797].end |
25818.15659375 |
transcript.pyannote[2798].speaker |
SPEAKER_21 |
transcript.pyannote[2798].start |
25820.04659375 |
transcript.pyannote[2798].end |
25820.65409375 |
transcript.pyannote[2799].speaker |
SPEAKER_21 |
transcript.pyannote[2799].start |
25821.41346875 |
transcript.pyannote[2799].end |
25824.29909375 |
transcript.pyannote[2800].speaker |
SPEAKER_21 |
transcript.pyannote[2800].start |
25824.85596875 |
transcript.pyannote[2800].end |
25827.45471875 |
transcript.pyannote[2801].speaker |
SPEAKER_21 |
transcript.pyannote[2801].start |
25832.78721875 |
transcript.pyannote[2801].end |
25836.63471875 |
transcript.pyannote[2802].speaker |
SPEAKER_21 |
transcript.pyannote[2802].start |
25837.12409375 |
transcript.pyannote[2802].end |
25837.91721875 |
transcript.pyannote[2803].speaker |
SPEAKER_21 |
transcript.pyannote[2803].start |
25838.11971875 |
transcript.pyannote[2803].end |
25838.91284375 |
transcript.pyannote[2804].speaker |
SPEAKER_21 |
transcript.pyannote[2804].start |
25839.82409375 |
transcript.pyannote[2804].end |
25842.92909375 |
transcript.pyannote[2805].speaker |
SPEAKER_21 |
transcript.pyannote[2805].start |
25843.11471875 |
transcript.pyannote[2805].end |
25844.16096875 |
transcript.pyannote[2806].speaker |
SPEAKER_21 |
transcript.pyannote[2806].start |
25844.78534375 |
transcript.pyannote[2806].end |
25845.66284375 |
transcript.pyannote[2807].speaker |
SPEAKER_21 |
transcript.pyannote[2807].start |
25845.79784375 |
transcript.pyannote[2807].end |
25846.67534375 |
transcript.pyannote[2808].speaker |
SPEAKER_21 |
transcript.pyannote[2808].start |
25847.55284375 |
transcript.pyannote[2808].end |
25850.15159375 |
transcript.pyannote[2809].speaker |
SPEAKER_21 |
transcript.pyannote[2809].start |
25850.21909375 |
transcript.pyannote[2809].end |
25852.26096875 |
transcript.pyannote[2810].speaker |
SPEAKER_21 |
transcript.pyannote[2810].start |
25852.96971875 |
transcript.pyannote[2810].end |
25853.77971875 |
transcript.pyannote[2811].speaker |
SPEAKER_21 |
transcript.pyannote[2811].start |
25854.16784375 |
transcript.pyannote[2811].end |
25856.22659375 |
transcript.pyannote[2812].speaker |
SPEAKER_21 |
transcript.pyannote[2812].start |
25857.88034375 |
transcript.pyannote[2812].end |
25858.53846875 |
transcript.pyannote[2813].speaker |
SPEAKER_21 |
transcript.pyannote[2813].start |
25861.76159375 |
transcript.pyannote[2813].end |
25861.81221875 |
transcript.pyannote[2814].speaker |
SPEAKER_17 |
transcript.pyannote[2814].start |
25861.81221875 |
transcript.pyannote[2814].end |
25862.13284375 |
transcript.pyannote[2815].speaker |
SPEAKER_17 |
transcript.pyannote[2815].start |
25863.85409375 |
transcript.pyannote[2815].end |
25871.07659375 |
transcript.pyannote[2816].speaker |
SPEAKER_17 |
transcript.pyannote[2816].start |
25872.44346875 |
transcript.pyannote[2816].end |
25877.18534375 |
transcript.pyannote[2817].speaker |
SPEAKER_17 |
transcript.pyannote[2817].start |
25877.42159375 |
transcript.pyannote[2817].end |
25883.63159375 |
transcript.pyannote[2818].speaker |
SPEAKER_17 |
transcript.pyannote[2818].start |
25884.25596875 |
transcript.pyannote[2818].end |
25892.99721875 |
transcript.pyannote[2819].speaker |
SPEAKER_17 |
transcript.pyannote[2819].start |
25893.75659375 |
transcript.pyannote[2819].end |
25900.99596875 |
transcript.pyannote[2820].speaker |
SPEAKER_17 |
transcript.pyannote[2820].start |
25901.46846875 |
transcript.pyannote[2820].end |
25911.23909375 |
transcript.pyannote[2821].speaker |
SPEAKER_17 |
transcript.pyannote[2821].start |
25911.54284375 |
transcript.pyannote[2821].end |
25916.11596875 |
transcript.pyannote[2822].speaker |
SPEAKER_17 |
transcript.pyannote[2822].start |
25916.95971875 |
transcript.pyannote[2822].end |
25931.18534375 |
transcript.pyannote[2823].speaker |
SPEAKER_17 |
transcript.pyannote[2823].start |
25931.87721875 |
transcript.pyannote[2823].end |
25932.99096875 |
transcript.pyannote[2824].speaker |
SPEAKER_17 |
transcript.pyannote[2824].start |
25933.54784375 |
transcript.pyannote[2824].end |
25943.28471875 |
transcript.pyannote[2825].speaker |
SPEAKER_17 |
transcript.pyannote[2825].start |
25944.55034375 |
transcript.pyannote[2825].end |
25944.76971875 |
transcript.pyannote[2826].speaker |
SPEAKER_17 |
transcript.pyannote[2826].start |
25945.20846875 |
transcript.pyannote[2826].end |
25949.64659375 |
transcript.pyannote[2827].speaker |
SPEAKER_17 |
transcript.pyannote[2827].start |
25951.58721875 |
transcript.pyannote[2827].end |
25953.37596875 |
transcript.pyannote[2828].speaker |
SPEAKER_17 |
transcript.pyannote[2828].start |
25953.74721875 |
transcript.pyannote[2828].end |
25954.28721875 |
transcript.whisperx[0].start |
2837.9 |
transcript.whisperx[0].end |
2862.795 |
transcript.whisperx[0].text |
好,請主任秘書報告出席人數。報告委員會出席委員12人以主法定人數。好,我們現在開始開會。跟委員報告,我們第17次的議事錄,我們暫不確定。請問大家有沒有意見?沒有。好,那我們繼續進行討論事項,請宣讀。 |
transcript.whisperx[1].start |
2866.785 |
transcript.whisperx[1].end |
2871.327 |
transcript.whisperx[1].text |
政府總預算案附屬單位預算非營業部分關於內政部主管特別收入基金、新住民發展基金、國土永續發展基金。宣讀完畢。 |
transcript.whisperx[2].start |
2900.34 |
transcript.whisperx[2].end |
2923.659 |
transcript.whisperx[2].text |
本日議程所列討論事項 月經本會期第9次全體委員會報告及詢答結束並以15次會議開始進行預算審查本次會議繼續進行為省郡單位之預算審查首先我們介紹在場委員及列席官員我們在場委員有高金素美委員 |
transcript.whisperx[3].start |
2928.383 |
transcript.whisperx[3].end |
2956.485 |
transcript.whisperx[3].text |
劉許廷委員丁學忠委員張志倫委員徐宇貞委員黃建斌委員麥益臻委員王美惠委員蘇巧惠委員黃潔委員李博義委員 |
transcript.whisperx[4].start |
2959.003 |
transcript.whisperx[4].end |
2984.93 |
transcript.whisperx[4].text |
有內政部長劉世芳、國土署署長吳興修、警政署署長張榮鑫、消防署署長蕭煥章、移民署署長鍾景坤、政務次長董建宏、行政院主計總署公務預算處總務員廖玉琳 |
transcript.whisperx[5].start |
2999.898 |
transcript.whisperx[5].end |
3000.56 |
transcript.whisperx[5].text |
我發的是 |
transcript.whisperx[6].start |
3029.838 |
transcript.whisperx[6].end |
3054.991 |
transcript.whisperx[6].text |
我們今天要審查的是國土署及所屬預算、營建建設基金、國土永續發展基金、警政署所屬、消防署所屬、移民署新住民發展基金。我們現在繼續審查114年度中央政府總預算案關於國土署及所屬預算。 |
transcript.whisperx[7].start |
3059.977 |
transcript.whisperx[7].end |
3079.169 |
transcript.whisperx[7].text |
好那我們現在開始審查來我們那個國土署的好我們現在開始審查那我們就隨時協商了好不好就不要再每次講到協商了好不好來 |
transcript.whisperx[8].start |
3090.325 |
transcript.whisperx[8].end |
3097.452 |
transcript.whisperx[8].text |
有沒有我們稅出的部分第二項 |
transcript.whisperx[9].start |
3117.242 |
transcript.whisperx[9].end |
3145.555 |
transcript.whisperx[9].text |
如果沒有我們是不是直接進行第二幕一般行政來第二幕一般行政我們看第二幕一般行政第三五六改組決議只剩第四案第四案 |
transcript.whisperx[10].start |
3147.986 |
transcript.whisperx[10].end |
3157.619 |
transcript.whisperx[10].text |
委員都沒有在啦齁?那我們是不是就照...可以問啦 |
transcript.whisperx[11].start |
3174.238 |
transcript.whisperx[11].end |
3179.301 |
transcript.whisperx[11].text |
誰要問?誰要問?這個我剛一直問都沒有人有意見啦進第二幕啦太快了 |
transcript.whisperx[12].start |
3193.648 |
transcript.whisperx[12].end |
3213.943 |
transcript.whisperx[12].text |
我們說真的,就不在就不主委啦,你可以問高金,你們要問可以問,我就不主委好啦好啦,我的意思是說可以問啦,因為我剛一直講都沒有,我覺得就是問啦,問一問但是...問一下回答一下就好對啦,回答一下就好,因為這個情況就是你不在就不主委,但是可以問 |
transcript.whisperx[13].start |
3219.607 |
transcript.whisperx[13].end |
3246.82 |
transcript.whisperx[13].text |
郭陸柱說明一下主要說明的一些強度跟什麼好不好先說明一下就好就這樣你就問他好就這個嘛現在是這個嘛可以啦可以啦我可以回來我可以回來主席你做到這樣齁你真實下台來解散那要不要直接做兩排就好了今天是在解碼今天是在解碼好可以 |
transcript.whisperx[14].start |
3259.748 |
transcript.whisperx[14].end |
3261.01 |
transcript.whisperx[14].text |
因為上次是有人說這樣空氣不好 |
transcript.whisperx[15].start |
3265.544 |
transcript.whisperx[15].end |
3267.385 |
transcript.whisperx[15].text |
第一案是黃建斌有問題,他特別請我問一下說 |
transcript.whisperx[16].start |
3284.011 |
transcript.whisperx[16].end |
3289.933 |
transcript.whisperx[16].text |
國土署及所屬預算案內政部主管的沒宣費在114年編列800萬,較113年去年度的法定預算495萬,增加幅度到達61%。 |
transcript.whisperx[17].start |
3305.136 |
transcript.whisperx[17].end |
3324.542 |
transcript.whisperx[17].text |
這個增加的部分超過50%增加到61%所以我們會認為這樣有沒有腐爛編列預算的部分所以當時我們建兵委員是有說提議要減列200萬那我們是說你們先解釋一下好不好為什麼增加那麼多以上謝謝好感謝委員那其實我還沒叫你回答你就回答 |
transcript.whisperx[18].start |
3325.822 |
transcript.whisperx[18].end |
3347.61 |
transcript.whisperx[18].text |
請回答,請回答。感謝委員,因為其實我們這幾年,大概為了交通的部分,尤其是行人安全的部分,那其實外界的壓力很大,所以我們從今年開始有比較加強到各個學校去,那我們在年底會簽了全台灣有21所大學, |
transcript.whisperx[19].start |
3348.83 |
transcript.whisperx[19].end |
3369.999 |
transcript.whisperx[19].text |
的集體的MOU那他們都希望我們協助來禁校園那所以我們明年開始會以拍片還有禁校園跟這些大學合作那希望能夠把這些宣傳能夠深入到大學生來降低大學生的一個車禍的一個比例所以這一點我們明年增加的部分最主要重點是放在這裡所以跟委員報告 |
transcript.whisperx[20].start |
3376.858 |
transcript.whisperx[20].end |
3404.351 |
transcript.whisperx[20].text |
署長對不起這個交通安全跟國土署有什麼關係?跟委員報告齁那個在市區道路的部分都是屬於國土署的那跟交通部應該比較有關聯吧?跟交通部比較有關聯吧?因為我們在做工程改善我們順道都要因為我們現在重點是所有的大學現在就是大學生的機車的比例齁其實出事的比例最高那所以我們一邊做改善一邊在 |
transcript.whisperx[21].start |
3404.631 |
transcript.whisperx[21].end |
3425.707 |
transcript.whisperx[21].text |
我覺得我雖然沒有提案但是我聽起來我是沒有辦法接受啦我會說提案委員是怎麼接受因為有很多的你們國土署的最重要的相關業務應該是在這個這個國土計畫上面還有一些規劃上面我覺得這不應該是是你們的業務啊你要宣傳這些東西這硬是有點莫名其妙 |
transcript.whisperx[22].start |
3426.747 |
transcript.whisperx[22].end |
3426.908 |
transcript.whisperx[22].text |
主席 |
transcript.whisperx[23].start |
3461.437 |
transcript.whisperx[23].end |
3475.745 |
transcript.whisperx[23].text |
我的建議若真有一件我們就先保留好不好?這個請問提案委員這有點怪今天跟委員報告因為國土署的業務真的很雜所以才會說我們是每年都會有一些重點項目要調 |
transcript.whisperx[24].start |
3476.545 |
transcript.whisperx[24].end |
3476.825 |
transcript.whisperx[24].text |
委員會委員會委員會 |
transcript.whisperx[25].start |
3495.621 |
transcript.whisperx[25].end |
3518.496 |
transcript.whisperx[25].text |
我想你指的是像我也支持高興文這個說法專心在右上那這部分嘛我是預計要三列兩百萬那剛才有說明的嘛對不對因為行人交通設施安全條例是我們屬的我覺得這條先保留 |
transcript.whisperx[26].start |
3521.997 |
transcript.whisperx[26].end |
3542.245 |
transcript.whisperx[26].text |
來,王委員主席,在這,我問署長,署長,在隔離期現在所作的,在百分之多的營業路,可以連行到您所作的,有的一定完成,有的最近這幾個月要完成的時候,您要如何,因為隔離的溝通,在我們警政署溝通的,公開是隔離的溝通, |
transcript.whisperx[27].start |
3551.243 |
transcript.whisperx[27].end |
3554.466 |
transcript.whisperx[27].text |
不太好,你要怎麼去選擇?因為我覺得錢比較少,在我這樣騎摩托車去順勢,我覺得是做得很好。但是做得很好,要有那個成效,可以讓行人安全,騎車開, |
transcript.whisperx[28].start |
3572.705 |
transcript.whisperx[28].end |
3573.125 |
transcript.whisperx[28].text |
三、繼續審查114年度中央 |
transcript.whisperx[29].start |
3598.417 |
transcript.whisperx[29].end |
3601.88 |
transcript.whisperx[29].text |
三、繼續審查114年度中央政府主管作業基金.營建建設基金.營建設基金 |
transcript.whisperx[30].start |
3619.416 |
transcript.whisperx[30].end |
3643.018 |
transcript.whisperx[30].text |
交通安全就是一種這只是一個舉例而已而且是大家一聽就不會覺得說媒體宣傳好像是什麼為自己擦脂抹粉沒有是任何跟你相關的直接的細項如果有變動或需要被窒息其實就是利用這一條預算下去做執行那大家可以看到其實以交通規則繼續舉例的話不管是城市或鄉村 |
transcript.whisperx[31].start |
3645.64 |
transcript.whisperx[31].end |
3646.221 |
transcript.whisperx[31].text |
三、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[32].start |
3661.934 |
transcript.whisperx[32].end |
3687.139 |
transcript.whisperx[32].text |
所以我是建議說各委員我們是不是也可以比如說我們做出一個決議然後看看是我們認為應該朝哪個方向要多哪個方向要少哪個方向怎麼做大家可以共同決議但是不要一次簡略到四分之一我是覺得這個比較多了一點那看看提案委員能不能夠參考一下因為鄉村城市等等大家都有需要知道更多的政策細節李委員 |
transcript.whisperx[33].start |
3691.727 |
transcript.whisperx[33].end |
3716.697 |
transcript.whisperx[33].text |
在這邊提醒一下其實署長你講的我覺得太過簡單了啦他有點忘記我們上個會期才剛通過行人交通安全設施條例這個部分是不是要大量的宣導他會牽涉到很多包括人行道上面的設施你不宣導人家怎麼知道這個地方要不要動那民眾怎麼來配合那怎麼會有行人設施安全的問題 |
transcript.whisperx[34].start |
3718.927 |
transcript.whisperx[34].end |
3733.255 |
transcript.whisperx[34].text |
這個不要忘記了這個是我們上會期才剛通過的所以也拜託啦拜託各位我們自己通過的行人交通安全設施條例那我們希望可以來宣導讓民眾可以更加的配合也是為了行人安全嘛以上那個黃婕瑋剛先的好不好來黃委員 |
transcript.whisperx[35].start |
3742.396 |
transcript.whisperx[35].end |
3742.597 |
transcript.whisperx[35].text |
主席主席 |
transcript.whisperx[36].start |
3757.276 |
transcript.whisperx[36].end |
3774.302 |
transcript.whisperx[36].text |
你們在這個媒體宣傳的業務上面跟地方做了哪些溝通那以我的選區來說就是有一些很多是新的人行道然後有一些新的交通設施這些其實很重要是因為像是在做一些行人庇護島啊或者是你們在做轉角的在這種轉角擴大或者是說你們人行道的設計變更了 |
transcript.whisperx[37].start |
3781.525 |
transcript.whisperx[37].end |
3797.365 |
transcript.whisperx[37].text |
這其實都要讓地方知道說為什麼新的設計是比較安全的那一些特別的行人專區這些其實也都是在這上個會期通過的業務裡面那我覺得這都是溝通最重要的地方這也是讓大家知道說因為我們非常重視行人安全 |
transcript.whisperx[38].start |
3798.166 |
transcript.whisperx[38].end |
3811.904 |
transcript.whisperx[38].text |
所以才會通過這個條例那這個其實就應該要在這筆業務裡面如果是的話那是不是請署長跟大家說明你們會利用這筆預算來跟大家做什麼樣的社會溝通呢?謝謝來 高軍委員 |
transcript.whisperx[39].start |
3815.456 |
transcript.whisperx[39].end |
3824.879 |
transcript.whisperx[39].text |
我還是,雖然在場的委員有提出那麼多的看法,但是我還是要再說一遍,媒體政策和業務宣導費你今年編了800萬,113年的時候你只有編495萬,你高達了61%耶! |
transcript.whisperx[40].start |
3834.062 |
transcript.whisperx[40].end |
3843.589 |
transcript.whisperx[40].text |
三、繼續審查114年度中央政府總預算案附屬單位預算。四、繼續審查114年度中央政府總預算案附屬單位預算。五、繼續審查114年度中央政府總預算案附屬單位預算。六、繼續審查114年度中央政府總預算案附屬單位預算。七、繼續審查114年度中央政府總預算案附屬單位預算。八、繼續審查114年度中央政府總預算案附屬單位預算。 |
transcript.whisperx[41].start |
3860.512 |
transcript.whisperx[41].end |
3865.821 |
transcript.whisperx[41].text |
清清楚楚明明白白,這樣子才能跟國人交代啊。好嗎?以上,謝謝。請回答。 |
transcript.whisperx[42].start |
3873.078 |
transcript.whisperx[42].end |
3901.978 |
transcript.whisperx[42].text |
我跟各位委員先說明一下第一個就是因為我們立法院有通過新的人行安全的部分這是一個延續性的計畫有關人行安全的部分的話行政跟立法單位還有各縣市地方政府都非常的重視各位的選區裡面譬如說你現在看到在學校的周邊或者是人行比較多的地方很多是屬於硬體改善設備的工程 |
transcript.whisperx[43].start |
3902.638 |
transcript.whisperx[43].end |
3911.762 |
transcript.whisperx[43].text |
總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所 |
transcript.whisperx[44].start |
3931.429 |
transcript.whisperx[44].end |
3947.707 |
transcript.whisperx[44].text |
其他的單位告訴我們說那你們做了這些新的工程有些住車彎或是有些停住的部分到底是指什麼意思是不是也要一起來做溝通那所以我們再把這個預算加上去也就是有新增的政策出來的時候呢我們就要新增這個媒體的溝通或是社會的溝通 |
transcript.whisperx[45].start |
3950.43 |
transcript.whisperx[45].end |
3967.918 |
transcript.whisperx[45].text |
那委員如果擔心說我們未來是不是會有因人設事特別委託給特定的媒體的話我在這個地方跟大家保證只要是符合我們公共工程需要採購的部分的話我們一律是公開來執行沒有其他的特定的部分那詳細的細節我再請我們署長跟各位再解釋一下 |
transcript.whisperx[46].start |
3973.536 |
transcript.whisperx[46].end |
3995.927 |
transcript.whisperx[46].text |
來等一下那個所有人說一句我補充一句讓大家看看你是不是的欸 處長其實包括剛剛大家都在講交通政策其實住宅政策也是包含在這裡面嗎是對不對因為住宅政策比如說現在高齡化要協助這個我們的住宅要設置無障礙設施那協助我們的長者要能夠換去你換去有電梯的房子房子留給這個 |
transcript.whisperx[47].start |
3996.988 |
transcript.whisperx[47].end |
4011.973 |
transcript.whisperx[47].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部 |
transcript.whisperx[48].start |
4023.338 |
transcript.whisperx[48].end |
4046.195 |
transcript.whisperx[48].text |
請你講再說我剛剛其實我一直想講你剛剛那個講你說這個讓人家聽起來感覺好像是交通政策在選不對啦你們應該講是你們是心思做的一些人行道一些什麼改善跟以前不一樣你要讓人知道如何去使用這些而不是教人家 |
transcript.whisperx[49].start |
4047.276 |
transcript.whisperx[49].end |
4050.198 |
transcript.whisperx[49].text |
總預算案附屬單位預算非營業部分關於內政部主管作業基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。 |
transcript.whisperx[50].start |
4066.527 |
transcript.whisperx[50].end |
4066.847 |
transcript.whisperx[50].text |
三、繼續審查114年度中央 |
transcript.whisperx[51].start |
4082.709 |
transcript.whisperx[51].end |
4091.117 |
transcript.whisperx[51].text |
三、繼續審查114年度中央政府總預算案附屬單位預算基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金.營建基金。五、繼續審查114年度中央政府總預算案附屬單位預算基金.營建基金。六、繼續審查114年度中央政府總預算案附屬單位預算基金.營建基金。 |
transcript.whisperx[52].start |
4107.814 |
transcript.whisperx[52].end |
4135.834 |
transcript.whisperx[52].text |
第三個就是說那其實國土署本身的業務真的非常的雜但是我們各自各樣在每一年的這個重點上都會有一些調整那我們接下來呢在不管是住宅、污水、下水道、再生水其實通通都有涉獵這一些的預算那所以這整個800萬是放在所有的項目裡面只是在明年新增的部分大概主要是針對交通設施安全的部分來特別做加強的一個宣傳 |
transcript.whisperx[53].start |
4136.514 |
transcript.whisperx[53].end |
4163.51 |
transcript.whisperx[53].text |
那最近其實我們有一個廣告也已經上線那我們是希望多多透過各式各樣的管道那我們也走進校園去主動去做溝通那也到各縣市政府去辦理輔導團跟相關的說明就是希望各縣市跟我們一起動起來能夠協助民眾更早習慣這一些交通安全設施的一個改善那真正能夠把這個交通的事故造勢率呢逐年降低所以說以上的報告 |
transcript.whisperx[54].start |
4173.388 |
transcript.whisperx[54].end |
4188.14 |
transcript.whisperx[54].text |
來,還有沒有委員?來,高軍委員。嗯,既然剛剛這樣講齁,剛剛那個國會聯絡人大概跟我談了一下啦,就是說113年度你們編了495萬嘛齁,我們可不可以知道你113年度495萬是花在哪裡? |
transcript.whisperx[55].start |
4196.144 |
transcript.whisperx[55].end |
4199.729 |
transcript.whisperx[55].text |
二、繼續審查114年度中央政府總預算案附屬單位預算基金。三、繼續審查114年度中央政府總預算案附屬單位預算基金。 |
transcript.whisperx[56].start |
4212.285 |
transcript.whisperx[56].end |
4220.509 |
transcript.whisperx[56].text |
因為我們看不到西部啊而且呢我發現114年的這個預算裡面我們在很多部會的小細項裡面都看到媒體宣傳這一塊很顯然就是說我們的執政黨好像把很多的媒體宣傳費分散打在每一幕每一項裡面雖然看起來都不多可是整合起來就蠻大筆的一筆預算 |
transcript.whisperx[57].start |
4238.118 |
transcript.whisperx[57].end |
4253.485 |
transcript.whisperx[57].text |
所以我認為我們在內政委員會如果不請你們具體提出來的話我會覺得你的增加幅度是達61%耶如果按照卓院長講的這個不要浪費公帑我覺得這個實在是有一點 |
transcript.whisperx[58].start |
4254.565 |
transcript.whisperx[58].end |
4260.812 |
transcript.whisperx[58].text |
及所屬:立法院第11屆第2會期內政部國土管理署及所屬、警政署及所屬:營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬:營建建設基金。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬:營建設基金。 |
transcript.whisperx[59].start |
4272.691 |
transcript.whisperx[59].end |
4280.242 |
transcript.whisperx[59].text |
好多喔!所以我建議這場的委員們大家可能要仔細看一下就是對於媒體宣傳的業務宣傳媒體政治的部分其實是在非常部會的小細項裡面 |
transcript.whisperx[60].start |
4288.975 |
transcript.whisperx[60].end |
4303.603 |
transcript.whisperx[60].text |
為什麼我們會看到總加起來是那麼大筆預算但是呢我們在各個委員會裡面分別來看的時候都是小數目但是實際上加起來真是一筆可觀的數目以上補充發言謝謝 |
transcript.whisperx[61].start |
4308.098 |
transcript.whisperx[61].end |
4312.999 |
transcript.whisperx[61].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金.營建設基金 |
transcript.whisperx[62].start |
4338.612 |
transcript.whisperx[62].end |
4341.975 |
transcript.whisperx[62].text |
你拿這樣,跟你說要減一百?減不可以,這交通價這麼多單位說得這麼清楚是不是?你讓他凍結啦!因為說實在的,這...召委,真的安全問題再給法院知道算多少? |
transcript.whisperx[63].start |
4367.649 |
transcript.whisperx[63].end |
4378.156 |
transcript.whisperx[63].text |
三、繼續審查114年度中央政府總預算案附屬單位預算。三、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[64].start |
4397.912 |
transcript.whisperx[64].end |
4414.541 |
transcript.whisperx[64].text |
好,召委。來,召委。好,不要說了。不要再說了。不要再說了。不要再說了。不要再說了。 |
transcript.whisperx[65].start |
4423.581 |
transcript.whisperx[65].end |
4443.706 |
transcript.whisperx[65].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[66].start |
4451.219 |
transcript.whisperx[66].end |
4458.884 |
transcript.whisperx[66].text |
蘇英報告要同意之後才可以動之?剛剛我們協商就是說這一個就是我們凍結200萬蘇英報告後時可動之其實這個是文字遊戲這無所謂 |
transcript.whisperx[67].start |
4473.84 |
transcript.whisperx[67].end |
4479.022 |
transcript.whisperx[67].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金.營建設基金 |
transcript.whisperx[68].start |
4496.561 |
transcript.whisperx[68].end |
4499.142 |
transcript.whisperx[68].text |
我剛有問阿沒有人要講話阿 |
transcript.whisperx[69].start |
4529.659 |
transcript.whisperx[69].end |
4544.463 |
transcript.whisperx[69].text |
我想這一次還是在針對這個水面飛趟大家比較多的疑慮了阿本市這邊是提要刪減預算的134萬2千了好 謝謝好 報告結啦好 因為好 報告結啦 因為是賣完還要 |
transcript.whisperx[70].start |
4560.189 |
transcript.whisperx[70].end |
4588.419 |
transcript.whisperx[70].text |
不一樣項目啦OK好我報告一下因為這幾年跟各位報告因為這幾年我們社宅開工的速度很快啦那那個公務所還有代辦的項目也變多所以我們公務所開立的增設的速度非常快我們光中工就多了三個南工多了六個那過去因為速度太快來不及相關的預算都是吃管理費啦可是吃管理費大概對同仁他們在外面 |
transcript.whisperx[71].start |
4589.179 |
transcript.whisperx[71].end |
4596.743 |
transcript.whisperx[71].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金。 |
transcript.whisperx[72].start |
4614.551 |
transcript.whisperx[72].end |
4639.183 |
transcript.whisperx[72].text |
所以跟委員報告最主要是增列這個部分那因為在外面租金也要幫忙分攤那水電費也要去做分攤所以看委員那另外當然就是因為臺電也都把我們的優惠都已經都取消所以我們現在都變成全部都要自付 |
transcript.whisperx[73].start |
4643.74 |
transcript.whisperx[73].end |
4653.851 |
transcript.whisperx[73].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、移民署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、移民署部分。 |
transcript.whisperx[74].start |
4665.888 |
transcript.whisperx[74].end |
4681.472 |
transcript.whisperx[74].text |
主任說明後,我相信當然您有您的人出席,但是我認為我們也是要國會政府要節省能源這塊,所以這份本席是可以減略為34萬2千,好不好?什麼啦? |
transcript.whisperx[75].start |
4681.472 |
transcript.whisperx[75].end |
4691.094 |
transcript.whisperx[75].text |
凍結啦,好不好?參詳一下,這是不時消,因為我們沒有花到也不能,我們也是不能用啦。 |
transcript.whisperx[76].start |
4693.976 |
transcript.whisperx[76].end |
4719.58 |
transcript.whisperx[76].text |
我們是怕說又因為超過還是要回頭又吃那個管理費我們交報告好啦主席那個署長也說很清楚那個要凍結的好不好凍結多少?一半三十萬台幣才凍這樣好不好好不好 |
transcript.whisperx[77].start |
4725.063 |
transcript.whisperx[77].end |
4725.423 |
transcript.whisperx[77].text |
三、繼續審查114年度中央 |
transcript.whisperx[78].start |
4758.942 |
transcript.whisperx[78].end |
4776.175 |
transcript.whisperx[78].text |
二、繼續審查114年度中央政府總預算案附屬單位預算基金。三、繼續審查114年度中央政府總預算案附屬單位預算基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金。五、繼續審查114年度中央政府總預算案附屬單位預算基金。 |
transcript.whisperx[79].start |
4794.078 |
transcript.whisperx[79].end |
4810.106 |
transcript.whisperx[79].text |
第4案的部分,其實基本上不管是在一般行政向下的業務費,或者是進到實際業務的討論,大家都對於社宅的分級收入的一個制度,其實大部分人都是非常關心的。 |
transcript.whisperx[80].start |
4810.586 |
transcript.whisperx[80].end |
4813.368 |
transcript.whisperx[80].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[81].start |
4838.727 |
transcript.whisperx[81].end |
4853.356 |
transcript.whisperx[81].text |
提出專案報告、金銅鑰匙的動資以上,謝謝來李委員我請教一下署長也請署長說明一下那剛針對國民黨委員劉許廷他幫徐欣穎委員的這一個發言就是說署長 |
transcript.whisperx[82].start |
4866.468 |
transcript.whisperx[82].end |
4892.467 |
transcript.whisperx[82].text |
署長明年度開始大家關心的這個分級收費是還有開始有多少住戶進去包含到底住三年住六年等等的這一些它是持續型的工作那現在我們好啦我們也同意明年度還會有專案報告那我相信這個專案報告也不是明年度的上個會期而已連預算會期還是大家持續關心的那你可不可以說明一下 |
transcript.whisperx[83].start |
4894.609 |
transcript.whisperx[83].end |
4921.342 |
transcript.whisperx[83].text |
從明年度開始預計完工預計要進入這個社會住宅預計要開始分級受惠等等的這些機制的狀況說明給委員會聽當然明年度我們還是會有這些狀況報告當然你如果說明的非常清楚的話我們也期待可以把凍結的這樣算起來這個凍結的部分已經20%了這個對於我們在做這些基本行政工作的工作人員 |
transcript.whisperx[84].start |
4922.262 |
transcript.whisperx[84].end |
4945.396 |
transcript.whisperx[84].text |
還有這些的士氣是有影響的,我們也可以降低這個凍結的層數,請署長可以盡量清楚的說明,謝謝。好,感謝委員,因為其實在我們租宅基金租宅的預算裡面,大概我想第一個租金補貼大概都清楚,我們在今年就已經可以往75萬戶的這個目標來邁進,那這裡面就佔了300億, |
transcript.whisperx[85].start |
4950.599 |
transcript.whisperx[85].end |
4974.021 |
transcript.whisperx[85].text |
包租代管的部分主要是提供給業者的相關的服務費還有一些托管的費用所以這兩塊是大概隨著業務的成長都是很穩定直接興建設宅的部分在因為過去最早的做法是中央來提供非自償性的補助協助地方能夠蓋設宅地方主力來興建 |
transcript.whisperx[86].start |
4975.362 |
transcript.whisperx[86].end |
4994.08 |
transcript.whisperx[86].text |
後來在108年以後發現在地方政府的可能人力上有一些吃緊所以在109年才決定由住都中心這邊跟國土署合作來加入所以我們陸陸續續要完工會大量會從明年開始明年大概會有5000多戶完工後年會有7000多戶完工 |
transcript.whisperx[87].start |
4995.001 |
transcript.whisperx[87].end |
5015.457 |
transcript.whisperx[87].text |
所以接下來的這幾年會是中央信辦社宅大量完工的時間點當然委員所關心的後續的管理制度還有郵寄租金的分期制度跟委員報告管理制度的部分我們也有參採了相關輪候的概念都逐步融入到我們社宅的 |
transcript.whisperx[88].start |
5017.158 |
transcript.whisperx[88].end |
5041.849 |
transcript.whisperx[88].text |
的牌租裡面。第二個就是說分級制度我們跟地方政府都陸陸續續都已經有達成共識那在今年10月有開會地方政府普遍都支持那我們剩下跟衛福部最後的協調就可以把租金分級制來完成那所以我想專案報告的部分明年當然沒有問題我們也會跟委員清楚的交代那只是說像這個項目是不是因為行政業務行政工作是 |
transcript.whisperx[89].start |
5042.99 |
transcript.whisperx[89].end |
5054.981 |
transcript.whisperx[89].text |
我是建議是不要動在行政業務我們是統一動在後面的這個項目裡面因為行政業務會是比較吃緊的這個項目裡面所以這個報告看看好了 這樣說明我可以接受 |
transcript.whisperx[90].start |
5056.069 |
transcript.whisperx[90].end |
5074.435 |
transcript.whisperx[90].text |
好各位委員我們齁這一個啊齁因為我們這個委員不在我們照管理還是不處理啦齁那我們等一下像這一個的部分我們進去業務部分有相關的我們再處理好不好好來謝謝齁那我們現在進入第三幕國土管理業務 |
transcript.whisperx[91].start |
5078.073 |
transcript.whisperx[91].end |
5095.57 |
transcript.whisperx[91].text |
來,王委員主席,在第3幕裡面本席有24條跟29條在這裡我要跟署長說一下在國土設計當中的住宅政策 |
transcript.whisperx[92].start |
5097.272 |
transcript.whisperx[92].end |
5118.417 |
transcript.whisperx[92].text |
的幾位一百四億來賓,有在自己企業,我感覺新建的進度非常緩慢。現在兩個所在已經企業也在一百十五年要完成,要不然也要慢一點點。 |
transcript.whisperx[93].start |
5120.492 |
transcript.whisperx[93].end |
5147.982 |
transcript.whisperx[93].text |
中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。六、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警 |
transcript.whisperx[94].start |
5150.383 |
transcript.whisperx[94].end |
5159.092 |
transcript.whisperx[94].text |
國土管理業務來賓,要為住宅政策及住宅計劃推動的獎勵來賓,有一個法律輔助來賓及單位的判律 |
transcript.whisperx[95].start |
5170.915 |
transcript.whisperx[95].end |
5191.404 |
transcript.whisperx[95].text |
諮詢。我感覺看不出來你到底做到多大位為這些人做出什麼,是不是待會申請一下,因為你跟我說不去調解代理訴訟這些項目,但是看過你的資料就是電話看你諮詢而已,是不是待會 |
transcript.whisperx[96].start |
5195.936 |
transcript.whisperx[96].end |
5196.878 |
transcript.whisperx[96].text |
說得很清楚,可以說是所屬的人的發揮最大的功能以上。 |
transcript.whisperx[97].start |
5209.922 |
transcript.whisperx[97].end |
5220.445 |
transcript.whisperx[97].text |
第7案、第9案、第8案、第10案、第11案、第12案、第13案、第14案、第18案、第19案、第21案、第25案、第30案、第31案、第34案、第35案、第36案 |
transcript.whisperx[98].start |
5231.388 |
transcript.whisperx[98].end |
5236.274 |
transcript.whisperx[98].text |
跟37並成一案。然後39、40、41、42、43、44、45、49案改組決議。二十案 |
transcript.whisperx[99].start |
5252.361 |
transcript.whisperx[99].end |
5272.676 |
transcript.whisperx[99].text |
非督土地使用辨定管制跟國土計劃土地使用管制研討業務跟講習的費用。這個你們大概是打算怎麼做?因為這個國土計劃法等等這些說明確實是有其必要啦。但是我看這個額度好像也不是很高。你們打算是怎麼做?是不是先做一個簡單的說明,讓我們了解一下狀況?好,謝謝。好來,蘇委員。 |
transcript.whisperx[100].start |
5277.591 |
transcript.whisperx[100].end |
5297.531 |
transcript.whisperx[100].text |
主席,我的案子是第28和第30。其實我還是一樣持續關心租屋市場的部分。我們認為租屋補貼、包租代管、實價登錄這些政策當然是已經開始有讓租屋市場的透明化是有點成效。 |
transcript.whisperx[101].start |
5298.112 |
transcript.whisperx[101].end |
5324.111 |
transcript.whisperx[101].text |
但是對於臺北市和新北市的引導就差很多低於其他直轄市甚至是低於全國平均但這才是最需要知道的地方那我們在質詢的時候其實也有問說那還有沒有其他可以檢討的空間你現在是胡蘿蔔有了那還有沒有其他呢這個其實我們都講過非常多次了所以我們是提出了這一項凍結案500萬元不過 |
transcript.whisperx[102].start |
5327.193 |
transcript.whisperx[102].end |
5349.529 |
transcript.whisperx[102].text |
我看這個國土署這邊也是很認真一直跟我們提出很多的說法那我們是不是建議是把這些說法都列為至少是書面報告讓我可以供未來的佐證那我們持續追蹤所以這個地方28案我是有同意改書面報告或使得動之 |
transcript.whisperx[103].start |
5350.35 |
transcript.whisperx[103].end |
5358.776 |
transcript.whisperx[103].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。 |
transcript.whisperx[104].start |
5372.705 |
transcript.whisperx[104].end |
5380.478 |
transcript.whisperx[104].text |
拜託都還是把你們目前跟我們口頭報告的用書面報告記錄下來文字記錄大家好追蹤這樣兩個案子謝謝來還有沒有那個麥委員 |
transcript.whisperx[105].start |
5390.148 |
transcript.whisperx[105].end |
5406.259 |
transcript.whisperx[105].text |
總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。六、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金� |
transcript.whisperx[106].start |
5417.697 |
transcript.whisperx[106].end |
5426.44 |
transcript.whisperx[106].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。 |
transcript.whisperx[107].start |
5435.163 |
transcript.whisperx[107].end |
5441.427 |
transcript.whisperx[107].text |
第十案內政部社會租宅需求調查的數據不精準不足,動了兩千萬。第十一案社會租宅不完善動了兩千萬。第十二案內政部在租宅法 |
transcript.whisperx[108].start |
5462.98 |
transcript.whisperx[108].end |
5482.616 |
transcript.whisperx[108].text |
規定社會住宅的收費原則這個部分也是沒有統一所以也影響也不公平這個部分我也動了兩千萬還有就是租金統計資訊專區這個部分也是資訊減弱所以也導致這樣子的一個資訊不足所以我也動了兩千萬還有就是第14案 |
transcript.whisperx[109].start |
5492.824 |
transcript.whisperx[109].end |
5509.408 |
transcript.whisperx[109].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。 |
transcript.whisperx[110].start |
5519.206 |
transcript.whisperx[110].end |
5542.634 |
transcript.whisperx[110].text |
所以跟你說明一下因為這個是我是跟國土署的同仁一起來去協商的但是我現在看到我的資料怎麼全部都改組決議剛才他們的主任來跟我說明說因為我們討論的結果他拿來給我簽的是建議 |
transcript.whisperx[111].start |
5544.249 |
transcript.whisperx[111].end |
5567.656 |
transcript.whisperx[111].text |
我請教一下我們學商來跟我們辦公室討論的結果你應該拿結果來給我簽啊怎麼會拿說你的建議來給我簽我們相信的是你拿來的是我們討論後的結果我們才要簽嘛但是我看到的是怎麼是說他剛才跟我解釋說他拿來的是建議給我簽怎麼會建議給我這樣我們討論幹嘛的啊所以說這個部分我堅持以上報告謝謝 |
transcript.whisperx[112].start |
5573.929 |
transcript.whisperx[112].end |
5600.263 |
transcript.whisperx[112].text |
那你們要說清楚我們手頭上的資料是有,你們要跟委員說清楚?說不清,因為他來跟我協商的時候我已經跟他說我堅持要動,就是全部全部414億6千多萬,我全部這個案的話,我全部我就跟他討論每一個案我是凍結10%的 |
transcript.whisperx[113].start |
5601.644 |
transcript.whisperx[113].end |
5602.344 |
transcript.whisperx[113].text |
三、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[114].start |
5619.994 |
transcript.whisperx[114].end |
5628.416 |
transcript.whisperx[114].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。 |
transcript.whisperx[115].start |
5651.138 |
transcript.whisperx[115].end |
5675.79 |
transcript.whisperx[115].text |
好謝謝主席那我幫我們徐宇貞委員請教這個第26案有關於這個國土署在114年度預算案國土管理業務旗下這個社會住宅政策及住宅計畫之推動編列獎補助費就是有關特種基金補助400億的部分主要就是社會住宅的興建數 |
transcript.whisperx[116].start |
5676.79 |
transcript.whisperx[116].end |
5682.555 |
transcript.whisperx[116].text |
那從113年的9月30號的社會住宅的達成數現在的社會住宅才6208戶新完工是25857戶新建中是44957戶待絕標開工數是32574戶規劃中是13387戶顧名思義就是說過去政府這個2016年執政以來只有蓋好兩萬 |
transcript.whisperx[117].start |
5705.333 |
transcript.whisperx[117].end |
5722.338 |
transcript.whisperx[117].text |
三萬兩千戶的社會住宅還有九萬多戶的社宅沒有辦法讓人民來使用進度嚴重落後所以我們這個這個宇貞委員有提議要凍結五千萬希望說國土署在三個月內來提出檢討的專案報告 |
transcript.whisperx[118].start |
5723.999 |
transcript.whisperx[118].end |
5728.24 |
transcript.whisperx[118].text |
二、繼續審查114年度中央政府主管作業基金.營建建設基金。三、繼續審查114年度中央政府主管作業基金.營建基金。 |
transcript.whisperx[119].start |
5748.035 |
transcript.whisperx[119].end |
5748.235 |
transcript.whisperx[119].text |
來,林委員 |
transcript.whisperx[120].start |
5779.079 |
transcript.whisperx[120].end |
5783.185 |
transcript.whisperx[120].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金.營建設基金 |
transcript.whisperx[121].start |
5794.419 |
transcript.whisperx[121].end |
5816.293 |
transcript.whisperx[121].text |
國土管理業務裏面的波普住宅基金、西曼社會住宅相關經費本期的主張是要凍結1%然後經專案報告同意後使得凍資原因是這樣當然就是因為大家普遍關注社會住宅推動業務除了剛剛我講的建設進度之外就是租金分級原則到底身分別、市價打折這件事情到底推動到什麼樣的程度那其實我私底下了解當然國土署 |
transcript.whisperx[122].start |
5816.693 |
transcript.whisperx[122].end |
5832.923 |
transcript.whisperx[122].text |
在經過努力開會之後是有一定的進度沒有錯但我想這樣子的一個進度是需要在立法院做一個清楚而且完整的說明並且接受立法委員的質詢提問讓這個政策更真完備啦所以說這部分我是覺得還是要有所處理所以這一條本期是比較堅持啦 |
transcript.whisperx[123].start |
5833.843 |
transcript.whisperx[123].end |
5854.748 |
transcript.whisperx[123].text |
四百億元一趴雖然很大了但它其實只是一趴而且只是凍結我們並沒有講說要減劣因為我們不會去為難社會住宅的預算跟基金這一點我也希望內政部放心但無論如何這個專案報告是非做不可所以我是覺得這一部分我們要特別來做個處理因為其實大部分委員針對這一條其實都有提案這一部分是不是可以優先來做一個處理其他部分我們再來統一來處理以上來那個吳委員 |
transcript.whisperx[124].start |
5861.04 |
transcript.whisperx[124].end |
5880.495 |
transcript.whisperx[124].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、 |
transcript.whisperx[125].start |
5882.768 |
transcript.whisperx[125].end |
5905.403 |
transcript.whisperx[125].text |
這針對我們的災禍危險建築物的緊急評估系統透過登錄通報案件並有線上回報的評估結果的功能所以現在只有台北市跟新北市基隆運用處系統其他各縣市還沒有普及化這針對我們是地層帶 |
transcript.whisperx[126].start |
5908.665 |
transcript.whisperx[126].end |
5912.728 |
transcript.whisperx[126].text |
這個地方,所以我本席在這邊凍結兩百萬。來,王委員主席,在這裡我還要補充一下剛才的租金補貼的問題。在這時候我也提起說,你們現在叫村里長去證明說這個人有住在這裡。 |
transcript.whisperx[127].start |
5934.619 |
transcript.whisperx[127].end |
5956.574 |
transcript.whisperx[127].text |
立法院總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營業部分關於內政部主管作業 |
transcript.whisperx[128].start |
5965.66 |
transcript.whisperx[128].end |
5968.142 |
transcript.whisperx[128].text |
還有沒有委員?還有理委? |
transcript.whisperx[129].start |
5992.15 |
transcript.whisperx[129].end |
5999.358 |
transcript.whisperx[129].text |
一樣是針對這個住宅租金補貼的這一部分我這邊提出一個問題 |
transcript.whisperx[130].start |
6000.99 |
transcript.whisperx[130].end |
6016.673 |
transcript.whisperx[130].text |
如果凍結,比如說1%感覺很少,但是4億那對來申請的人,申請租金補貼的人來講他是申請整年度,他的合約可能是一年度來的那會不會我們專案報告會來不及來處理,比如說這樣會因為少了4億 |
transcript.whisperx[131].start |
6024.815 |
transcript.whisperx[131].end |
6034.926 |
transcript.whisperx[131].text |
沒有辦法沒有辦法支應的話那這4億會不會造成我們跟地方政府授權的部分讓民眾來申請這個租金補貼可能會因為礙於這4億我們還沒有這個專案報告的時候可能民眾沒有辦法申請到 |
transcript.whisperx[132].start |
6041.412 |
transcript.whisperx[132].end |
6057.298 |
transcript.whisperx[132].text |
例如說他可能是原本要地方政府通常可能是5月31以前或6月31以前那地方政府可能會提早收件或者是往後延那會趕不上我們需要租金補貼的市民 |
transcript.whisperx[133].start |
6060.731 |
transcript.whisperx[133].end |
6083.686 |
transcript.whisperx[133].text |
跟地方政府的這個跟他的房東之間的合約會有來不及的現象所以在這邊如果有這個問題的話我們也希望可以降低凍結的這個大家很關心這個政策所以必須要做專案報告這個我們同意但是降低凍結的這個比例來講的話最不會影響到所有人要申請租金補貼的這個 |
transcript.whisperx[134].start |
6087.17 |
transcript.whisperx[134].end |
6092.697 |
transcript.whisperx[134].text |
跟地方政府的時程。署長可以做一個清楚的說明。好,還有 |
transcript.whisperx[135].start |
6098.291 |
transcript.whisperx[135].end |
6114.224 |
transcript.whisperx[135].text |
我補充這個是涉宅的經費啦涉宅啦不是租補吧對不對我如果對剛剛那個411%了啦那個是涉宅的不是租補的我補充一下啦所以應該相對來講還好但沒關係我們可以商量著辦那另外是主席你還是要這一幕來一起處理嗎那我就要把剩下講完嗎 |
transcript.whisperx[136].start |
6114.864 |
transcript.whisperx[136].end |
6120.106 |
transcript.whisperx[136].text |
三十八案還蠻有趣的是一個案例每年我們都有辦理這個建築許可等等傑出建築師都有一個評選然後都有一個獎盃這雖然額度很小但是我覺得內容還蠻奇怪的就是說在 |
transcript.whisperx[137].start |
6143.803 |
transcript.whisperx[137].end |
6156.666 |
transcript.whisperx[137].text |
一段時間以前85年民國85年的時候就訂定用這個知名的雕塑家楊英峰設計的獎盃那這一座獎盃是10萬塊錢但是10萬塊錢我們去了解一下基本上大部分好像都是 |
transcript.whisperx[138].start |
6158.052 |
transcript.whisperx[138].end |
6173.598 |
transcript.whisperx[138].text |
就是它的內容我是覺得有很多重複的一個字語啊比如說脫蠟鑄造講座開模銅料手工技術就要七萬兩千五啊然後盒子跟運送費用要五千五這個我覺得倒還好但 |
transcript.whisperx[139].start |
6174.922 |
transcript.whisperx[139].end |
6198.785 |
transcript.whisperx[139].text |
問題就是說一座獎盃要10萬塊然後我們之前問的時候大部分還講說說大部分是因為是著作權所以我要付授權費用可是你在細目裡面你也沒有寫說我要付多少的授權費用而且一顆獎盃10萬塊如果他講說他有些貴金屬或什麼的話來講那也就算了但是如果只是因為這樣的關係是不是有一些節省的方式那當然我們尊重雕刻大師 |
transcript.whisperx[140].start |
6199.426 |
transcript.whisperx[140].end |
6200.887 |
transcript.whisperx[140].text |
三、繼續審查114年度中央政府總預算案附屬單位預算。四、繼續審查114年度中央政府總預算案附屬單位預算。五、繼續審查114年度中央政府總預算案附屬單位預算。 |
transcript.whisperx[141].start |
6225.609 |
transcript.whisperx[141].end |
6237.084 |
transcript.whisperx[141].text |
然後你又講有著作非用 這樣是蠻奇怪的一件事雖然額度不大 但我們還是希望可以提供一些的這個說明然後看第三幕還有這一幕真的很大 |
transcript.whisperx[142].start |
6239.163 |
transcript.whisperx[142].end |
6262.866 |
transcript.whisperx[142].text |
這個47案這個城鎮風暴跟創生環境的營造計畫這個部分我們希望了解一下相關的一些細節因為我想這跟地方很多的建設是有關係的我們想請國土署說明的部分是這個城鎮風暴跟創生環境的營造計畫是不是只要跟社區地方的認同提升有關相關的一些案例都可以來做這些經費的一些申請還是說它有哪一些若干的一些條件 |
transcript.whisperx[143].start |
6263.326 |
transcript.whisperx[143].end |
6275.666 |
transcript.whisperx[143].text |
好 這一部分我們希望得到國土署清楚的說明所以希望是用書面報告的方式來做處理那國土署待會有機會的話也可以來私底下跟本席來做說明好 第三幕大概就這些辛苦主席了 謝謝 |
transcript.whisperx[144].start |
6281.259 |
transcript.whisperx[144].end |
6306.645 |
transcript.whisperx[144].text |
我們請署長回答那我就逐個委員的部分大概做說明啦剛剛王美王委員的部分嘉義市的這一個三個社宅大概西區的兩個會在115年陸陸續續完工那東區的中寮好市是117年他現在在設計跟遣招的階段大概117年會完工那至於另外一個就是說 |
transcript.whisperx[145].start |
6307.405 |
transcript.whisperx[145].end |
6333.401 |
transcript.whisperx[145].text |
我們要村里長證明不是證明那個人是證明那一間房子這個這間房子這個主計是不是屬實啦尤其一間房子因為我們過去會看到有些是那個地址有但是事實上那個房子可能是他分割了分割了沒有那一間所以主要是要證明這不是要證明那個人啦我這樣你中間又過位是是我剛才說明那是證明那間房子 |
transcript.whisperx[146].start |
6342.212 |
transcript.whisperx[146].end |
6351.725 |
transcript.whisperx[146].text |
所以我們延伸過來就是張志永、張偉人所提到就是說在過去所調查出來那所謂一億兩千多萬那個是億領也就是說 |
transcript.whisperx[147].start |
6352.305 |
transcript.whisperx[147].end |
6369.385 |
transcript.whisperx[147].text |
在租補的過程當中他可能因為所得的提高或是身份的轉換他變成不合那我們電腦構計會對出來那有一些其實也有不少部分是申請人主動來詢問說我這樣是不是身份不行了那我們主動通知他說那你這個會有議領要把議領費 |
transcript.whisperx[148].start |
6370.806 |
transcript.whisperx[148].end |
6393.146 |
transcript.whisperx[148].text |
檢回來,所以這個部分是準,但是炸零的部分到目前為止大概是接近200件,大概是200件,那我們大概在目前已經處理了大概160幾件,那現在還有30幾件還在查核當中,就是確認他的身份,是不是確定這樣他是不是屬於炸零,那這只要有都是移送移送這個地檢署地檢署去 |
transcript.whisperx[149].start |
6399.114 |
transcript.whisperx[149].end |
6421.004 |
transcript.whisperx[149].text |
好謝謝主席喔因為剛剛署長有回應所以署長您的意思是說乍領的部分是只有200多件那些都已經送那個只要查證清楚全部都是送地檢署送地檢署對那你講那個是義領就是他的身份改變或是所得對那義領的部分又有1.2億了嘛所以現在您的意思是說國土署這邊已經那都會追繳回來已經追繳那未來怎麼防止他再發生 |
transcript.whisperx[150].start |
6421.804 |
transcript.whisperx[150].end |
6438.234 |
transcript.whisperx[150].text |
因為它是過程當中發生的所以我們會透過電腦的資料勾結去比對它的狀況是不是有改變了所以比如說每年的五月五月就是報稅的時候嘛那大致上在報稅的狀況也看得出來它的部分所以報稅後我們還會再做一個比對 |
transcript.whisperx[151].start |
6440.515 |
transcript.whisperx[151].end |
6441.755 |
transcript.whisperx[151].text |
三、繼續審查114年度中央政府總預算案附屬單位預算基金.營建建設基金.營建設基金 |
transcript.whisperx[152].start |
6465.481 |
transcript.whisperx[152].end |
6467.842 |
transcript.whisperx[152].text |
主席主席主席主席主席主席 |
transcript.whisperx[153].start |
6488.087 |
transcript.whisperx[153].end |
6506.074 |
transcript.whisperx[153].text |
這部分我們有主動提供法律輔助,當然是由我們地政司會來主動提供法律輔助的協助,那這部分都有在也補助,也就是說地方如果有反應上來,我們也會通知這個屋主,呃,城租戶來進行相關的法律輔助,這個部分有持續在進行。 |
transcript.whisperx[154].start |
6511.189 |
transcript.whisperx[154].end |
6527.925 |
transcript.whisperx[154].text |
主要是剩下當然我們未來的宣傳,要夠盡量宣傳,說你如果遇到這個不公平的對待的時候,大家要主動。那當然我們這個還會再跟地方加強宣導,就是說只要有成都人提出這些問題,那我們就做這樣的一個說明。 |
transcript.whisperx[155].start |
6530.881 |
transcript.whisperx[155].end |
6554.962 |
transcript.whisperx[155].text |
好那牛尾的部分比較差那個區域計畫的部分區域計畫的部分它是最主要是我們要銜接國路計畫所以有一些區域計畫舊有的這個業務它怎麼轉到在國路計畫後怎麼執行這個部分都還持續跟地方開座談會因為尤其在地用那一塊規則比較雜所以都還要持續開所以這是每年都固定一定要開 |
transcript.whisperx[156].start |
6557.765 |
transcript.whisperx[156].end |
6581.945 |
transcript.whisperx[156].text |
到目前來講是還夠就是持續開然後持續跟他們宣導一些觀念那這樣我們希望未來還是可以無縫接軌一些項目那城鄉問貿的部分其實他過去都延續在說協助地方的這個環境總顧問他任務有兩個一個第一個協助地方尤其是鄉鎮公所的提案內容希望他們提出來的內容能夠符合 |
transcript.whisperx[157].start |
6583.326 |
transcript.whisperx[157].end |
6611.245 |
transcript.whisperx[157].text |
內政部的這邊的一個要求這是一個。第二個就是說輔導地方尤其有一些因為走地方創生或社區他有需要一些社區規劃師他希望能夠輔助起來那這些也會在環境總顧問檢管總顧問裡面的工作項目那總之就是希望能夠協助地方不管是鄉鎮公所的提案或是社區要發展自己的一些小型的一個規劃跟建設案的話他們都能夠提供一些建議我想這是在這個部分 |
transcript.whisperx[158].start |
6612.185 |
transcript.whisperx[158].end |
6628.323 |
transcript.whisperx[158].text |
那的確那個獎項的部分這個是因為過去從85年大概就已經陸陸續續都延續這樣的一個做法那當然這幾年是因為這個疫情以後有一些工項還有一些授權費用都有陸陸續續調高但是我想委員提的這個建議 |
transcript.whisperx[159].start |
6629.504 |
transcript.whisperx[159].end |
6632.467 |
transcript.whisperx[159].text |
三、繼續審查114年度中央政府總預算案附屬單位預算基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金.營建建設基金。 |
transcript.whisperx[160].start |
6652.387 |
transcript.whisperx[160].end |
6669.386 |
transcript.whisperx[160].text |
就說不要去凍結它,但是我們來交書面報告或什麼樣的方式,我們來協助做這件事,因為的確這個還要跟公司那邊還要再溝通,雖然金額不大,但我想委員有關心我們就會去做一些相關的溝通,看能不能有再精進的一個做法。 |
transcript.whisperx[161].start |
6670.427 |
transcript.whisperx[161].end |
6683.396 |
transcript.whisperx[161].text |
二、繼續審查114年度中央政府總預算案附屬單位預算基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金.營建建設基金。五、繼續審查114年度中央政府總預算案附屬單位預算基金.營建建設基金。六、繼續審查114年度中央政府總預算案附屬單位預算基金.營建建設基金。 |
transcript.whisperx[162].start |
6697.605 |
transcript.whisperx[162].end |
6724.591 |
transcript.whisperx[162].text |
所得志的這部分也有參採地方政府的部分的一個建議有變成市級那身份別的部分也尊重地方他能夠統一納入所以在這個部分我們都在這個部分其實會越來越穩定那在社宅的這一個非自強性補助的部分我都也建議對地方來講非自強性補助是一個很重要的項目因為他們願意多花一些錢來興建社宅 |
transcript.whisperx[163].start |
6725.211 |
transcript.whisperx[163].end |
6728.813 |
transcript.whisperx[163].text |
三、繼續審查114年度中央政府總預算案附屬單位預算基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金。 |
transcript.whisperx[164].start |
6743.843 |
transcript.whisperx[164].end |
6772.683 |
transcript.whisperx[164].text |
在整個社宅的進度來講我們明年就會有大量的完工開始大量明年有5000多後年有7000多大概在後面會甚至有到1萬多的這樣每年的完工數那這些都會讓我們社宅的一個完工的數量大幅的邁進那當然我們也會積極協助地方政府在社宅的興建上能夠得到中央比較好的這個資源那能夠協助他們把社宅順利的興建完成跟營運讓我大概多做這樣的一個補充 |
transcript.whisperx[165].start |
6787.885 |
transcript.whisperx[165].end |
6805.672 |
transcript.whisperx[165].text |
的確啦我們的那個公益大廈的管理上其實這一塊委員也一直認為說我們在後面的這個出產品還有一些補助的一個查證上那這個的確因為我們都其實看地方政府的量能跟執行 |
transcript.whisperx[166].start |
6818.321 |
transcript.whisperx[166].end |
6825.043 |
transcript.whisperx[166].text |
對,所以我跟委員報告,因為其實你也知道地方建管不是很好做,這大概都是地方的建管、建辦 |
transcript.whisperx[167].start |
6829.781 |
transcript.whisperx[167].end |
6851.189 |
transcript.whisperx[167].text |
是 這個我跟委員報告我一定會再加強宣導因為我們明年開始整個的那個六樓以上都是屬於這個強制要報的喂 你要全國性 你要建制完成你才有辦法去掌握啊 |
transcript.whisperx[168].start |
6852.342 |
transcript.whisperx[168].end |
6858.786 |
transcript.whisperx[168].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。四、繼續審查114年度中央 |
transcript.whisperx[169].start |
6881.698 |
transcript.whisperx[169].end |
6904.587 |
transcript.whisperx[169].text |
既然說掌握我們的主管單位,你一定要去確實掌握全國的任何的災情。這建國真的是非常重要。是。好,謝謝。好,這部分我也跟委員承諾我們會再加強宣傳,尤其這些新來的這個同仁,我們會列為首波,宣導了一個重點,教育訓練的重點。 |
transcript.whisperx[170].start |
6906.94 |
transcript.whisperx[170].end |
6908.922 |
transcript.whisperx[170].text |
還有沒有委員的問題沒回答到? |
transcript.whisperx[171].start |
6923.026 |
transcript.whisperx[171].end |
6936.177 |
transcript.whisperx[171].text |
來黃委員在第三幕裡面我是提到第三次案就是我們這個國土管理業務裡面的這個建築許可建築師輔導及公寓大廈等工作業務管理費裡面的五萬塊那這個部分本席是提凍結凍結起來 |
transcript.whisperx[172].start |
6938.078 |
transcript.whisperx[172].end |
6949.305 |
transcript.whisperx[172].text |
因為我們最近地震發生很多,04、03之後其實整個餘震不斷那其實我們在審計室在114年也提到說像桃園、台南、苗栗、雲林、花蓮、台東、連江7個縣市這個平均能源在114年的動源的演練率不到5成 |
transcript.whisperx[173].start |
6955.629 |
transcript.whisperx[173].end |
6955.99 |
transcript.whisperx[173].text |
三、繼續審查114年度中央政府總預算案附屬 |
transcript.whisperx[174].start |
6973.789 |
transcript.whisperx[174].end |
6973.969 |
transcript.whisperx[174].text |
來 請回答 |
transcript.whisperx[175].start |
6992.338 |
transcript.whisperx[175].end |
7019.918 |
transcript.whisperx[175].text |
因為最主要是我們現在都改線上系統所以就是說我們的花比較多錢在系統建設上但是要他們來申報當然就像剛剛所講就有些承辦人可能新來或是剛轉換他不曉得去做這些但是我們後來有查核他的書面申報就他都有報到他都有來所以這一點我們還是會持續加強也感謝委員的建議還有沒有委員的問題沒有回答到 |
transcript.whisperx[176].start |
7021.209 |
transcript.whisperx[176].end |
7023.306 |
transcript.whisperx[176].text |
沒有齁?那我們協商一下 |
transcript.whisperx[177].start |
7355.453 |
transcript.whisperx[177].end |
7365.359 |
transcript.whisperx[177].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。 |
transcript.whisperx[178].start |
7385.251 |
transcript.whisperx[178].end |
7410.359 |
transcript.whisperx[178].text |
啊?為什麼?等我一下,我宣告完啦!我還沒宣告完,你沒得講!賣玉珍委員的權利你都不顧喔!包括賣玉珍委員的他改組決議的部分,我們也是都一起併案處理。好,那大家要休息是不是?好,那休息10分鐘好不好? |
transcript.whisperx[179].start |
8348.888 |
transcript.whisperx[179].end |
8372.37 |
transcript.whisperx[179].text |
好,那我們繼續開會我們現在第四幕好第四幕齁,那個提案委員不在齁那我們就循慣例不宜處理那我們來第七幕阿來,麥委員 |
transcript.whisperx[180].start |
8374.963 |
transcript.whisperx[180].end |
8379.95 |
transcript.whisperx[180].text |
第二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分。 |
transcript.whisperx[181].start |
8392.807 |
transcript.whisperx[181].end |
8398.511 |
transcript.whisperx[181].text |
中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬 |
transcript.whisperx[182].start |
8420.752 |
transcript.whisperx[182].end |
8422.413 |
transcript.whisperx[182].text |
我們先宣告一下第54、55、56、57案改組決議來那個黃委員 |
transcript.whisperx[183].start |
8429.497 |
transcript.whisperx[183].end |
8453.587 |
transcript.whisperx[183].text |
好那我講一下我跟美惠委員我是64他是65但是內容是差不多的因為我們都認為說現在人行道的普及率其實都還不夠高包括美惠在嘉義市那我自己在高雄的市區其實都有非常大的需求都是非常多行人的地方尤其是像在我的選區有很多是商業區然後商圈 |
transcript.whisperx[184].start |
8454.087 |
transcript.whisperx[184].end |
8466.501 |
transcript.whisperx[184].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、 |
transcript.whisperx[185].start |
8475.29 |
transcript.whisperx[185].end |
8492.902 |
transcript.whisperx[185].text |
好謝謝主席那我有我幫那個提案仁旭政委員請教第59案就是這個有關於都市基礎工程業務生活圈道路交通系統這個建設計畫的部分那個資訊服務費在114年的時候編列3627萬叫上去年度113年的1766萬增加了1861萬增幅高達100%增加了一倍 |
transcript.whisperx[186].start |
8505.69 |
transcript.whisperx[186].end |
8511.654 |
transcript.whisperx[186].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分關於內政部主管作業基金.營建建設基金.營建設基金.營建設基金. |
transcript.whisperx[187].start |
8526.527 |
transcript.whisperx[187].end |
8550.592 |
transcript.whisperx[187].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、 |
transcript.whisperx[188].start |
8558.379 |
transcript.whisperx[188].end |
8573.765 |
transcript.whisperx[188].text |
在第7部份我是在提58案這部分就是關於我們這個國土署補助各縣市政府辦理這個校園周邊機行車安全道路改善計劃那在這一塊裡面因為部分的縣市性申請解除的地點 |
transcript.whisperx[189].start |
8574.925 |
transcript.whisperx[189].end |
8601.133 |
transcript.whisperx[189].text |
還是有一些交通事故跟傷害人數在持續增加所以本席這邊是凍結該預算的十分之一那不過經過討論之後因為考量我們整個執行的預算的執行是為了提升我們國人這個生活圈道路安全那也想要督促我們這個國土署辦理校園周邊還有行車安全道路改善的成效那這邊提出原本提出的這個凍結十分之一改為凍結兩百萬那也現在提出 |
transcript.whisperx[190].start |
8602.214 |
transcript.whisperx[190].end |
8608.566 |
transcript.whisperx[190].text |
希望我們提出這個降低校園周邊那個高風險路段的這個維安因子的順便報告書之後開始動之以上李委員 |
transcript.whisperx[191].start |
8613.633 |
transcript.whisperx[191].end |
8637.668 |
transcript.whisperx[191].text |
來我針對這個都市基礎工程生活圈道路在上上週劉士端部長來到高雄針對新台17線那目前第三段南段的第三階段目前國土署給予這個建造給予設計費用但是對於工程費用還沒有給但第三段因為牽涉到有挖到遺跡 |
transcript.whisperx[192].start |
8638.829 |
transcript.whisperx[192].end |
8661.816 |
transcript.whisperx[192].text |
有挖到遺跡的部分我們必須要墊高來處理所以跟高雄市政府提出來跟原本國土署給的這個經費預算可能會有一些落差所以在這邊也除了對預算表達支持那以外呢也希望國土署盡速跟高雄市政府來做這個預算落差的這個協處讓南段第三段跟第二段可以同步來開工來謝謝 |
transcript.whisperx[193].start |
8672.527 |
transcript.whisperx[193].end |
8675.818 |
transcript.whisperx[193].text |
還有沒有委員?沒有委員的話請先回答。 |
transcript.whisperx[194].start |
8678.73 |
transcript.whisperx[194].end |
8707.589 |
transcript.whisperx[194].text |
感謝各位委員的一些指正那其實永續的部分其實的確現在能夠努力在進行的都有督促各縣市政府在加速提案那當然我們都希望每年至少有一趴的成長但事實上各縣市政府現在的增量來講可能都會遇到有其樓的問題或是有一些阻礙物他需要長一點時間去溝通所以看起來進度會稍微緩慢對於是我們一直講開始進入到技術性上 |
transcript.whisperx[195].start |
8708.45 |
transcript.whisperx[195].end |
8731.02 |
transcript.whisperx[195].text |
比較難處理的這個部分但是我們還是會持續的強化跟地方的溝通那其實這也是透過經費的這個補助協助來地方那這裡面就會牽涉到我們在因為主改以後我們的相關的資運系統都必須要因為因為我們變一個獨立機關那各分水是獨立機關那系統上都要做一些改版 |
transcript.whisperx[196].start |
8731.6 |
transcript.whisperx[196].end |
8749.964 |
transcript.whisperx[196].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、 |
transcript.whisperx[197].start |
8759.766 |
transcript.whisperx[197].end |
8773.777 |
transcript.whisperx[197].text |
專家學者來做一些研究。希望這些部分能夠逐步來提升我們以後道路的相關的品質。至於在高雄的這個部分,我想我們一定會跟市府這邊 |
transcript.whisperx[198].start |
8774.737 |
transcript.whisperx[198].end |
8797.842 |
transcript.whisperx[198].text |
持續來溝通因為它畢竟在過程當中遇到移植的問題要重新調整那這部分我們在設計階段就會跟他們進行溝通來確認他們可以未來的預算的項目這邊我們會來進行那所以我們在這過程當中的一些費用基本上都是核實來進行也希望各位能夠支持把我們的這個凍結的數量能夠少一點就這樣報告 |
transcript.whisperx[199].start |
8805.063 |
transcript.whisperx[199].end |
8806.369 |
transcript.whisperx[199].text |
好,那我們協商一下好不好。 |
transcript.whisperx[200].start |
8963.188 |
transcript.whisperx[200].end |
8984.448 |
transcript.whisperx[200].text |
各位委員那我們第七幕啊齁我們整幕凍結一千萬那所有委員的提案併案處理然後呢經書面報告後時可動之要經同意啊經書面報告同意後時可動之書面報告後 |
transcript.whisperx[201].start |
8995.989 |
transcript.whisperx[201].end |
8997.25 |
transcript.whisperx[201].text |
第8目第77、78、79、80、81、82 |
transcript.whisperx[202].start |
9019.264 |
transcript.whisperx[202].end |
9020.986 |
transcript.whisperx[202].text |
八、三都改組決議只剩76案。 |
transcript.whisperx[203].start |
9031.447 |
transcript.whisperx[203].end |
9032.328 |
transcript.whisperx[203].text |
三、繼續審查114年度中央政府總預算案 |
transcript.whisperx[204].start |
9058.399 |
transcript.whisperx[204].end |
9061.122 |
transcript.whisperx[204].text |
主決議85、86、87、88、89案修正文字通過。84案照案通過。 |
transcript.whisperx[205].start |
9083.452 |
transcript.whisperx[205].end |
9111.415 |
transcript.whisperx[205].text |
85到89案就是我的提案那主要是針對包含國土管理業務、國土管理、國土計劃法的這些說明要必須清除落實還有86案的這個永續提升人行安全計劃這個也要確實務必讓落實跟地方政府做好相關的這些配套以及落實這些行人的安全的部分的這些工程 |
transcript.whisperx[206].start |
9112.035 |
transcript.whisperx[206].end |
9128.081 |
transcript.whisperx[206].text |
另外,代替張雅琳委員提案的部分,就是針對住都中心有一些空間的部分來提出一些建議,包含兒童遊戲場,包含這些托兒育兒等空間。以上,同意這些文字修正跟處決議。謝謝。 |
transcript.whisperx[207].start |
9132.029 |
transcript.whisperx[207].end |
9154.37 |
transcript.whisperx[207].text |
蔡主席,我是有提77案第8目,希望改組結議,但是希望說有書面報告關於現在的排水系統不足,導致很多地方的淹水,所以這個部分我有邀請提出書面報告給我。以上,謝謝。 |
transcript.whisperx[208].start |
9158.766 |
transcript.whisperx[208].end |
9180.914 |
transcript.whisperx[208].text |
好,那這樣好,謝謝。那我們現在開始來處理這個國土署他們的基金預算來,我們先來處理營建建設基金預算業務收入委員無提案然後業務成本與費用也沒有那我們直接進入住宅基金來,各位委員 |
transcript.whisperx[209].start |
9185.984 |
transcript.whisperx[209].end |
9187.866 |
transcript.whisperx[209].text |
第三案、第四案、第六案改組決議 |
transcript.whisperx[210].start |
9194.284 |
transcript.whisperx[210].end |
9204.511 |
transcript.whisperx[210].text |
一、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署及所屬、消防署及所屬、消防署及所屬、消防署及所屬、消防署及所屬、消防署及所屬、消防署及所屬、消防署及所屬、 |
transcript.whisperx[211].start |
9223.484 |
transcript.whisperx[211].end |
9240.321 |
transcript.whisperx[211].text |
第一個是現在設宅包租代管的計畫裡面包租跟代管的計畫的目標互數目標都是定50%對不對但因為包租一直都缺乏足夠的誘因但其實我覺得包租才是比較有效可以讓讓不管你的這個相關的這個住宅供給量增加比較好的一個方法那這個為了 |
transcript.whisperx[212].start |
9243.227 |
transcript.whisperx[212].end |
9268.792 |
transcript.whisperx[212].text |
這個地方上的一些觀察是這樣為了符合這個政策的KPI就我們剛剛講的50%的這樣一個標準然後包租跟貸款的經費還可以進為流用然後其實計畫實際上在執行的時候其實貸款的數量是比包租多很多那我覺得這確實是一個問題那對計畫目標當中的這個維持租客關係穩定其實是有所減損的要盡快來做平衡所以我們來做這個部分我們是有提說要做個凍結並且經過專案報告 |
transcript.whisperx[213].start |
9270.472 |
transcript.whisperx[213].end |
9295.987 |
transcript.whisperx[213].text |
那其實專案報告大家剛剛都已經講過了嘛就是併在這個社會住宅配套政策的一個專案報告裡面來做處理那我們就把每一案每一案的這些狀況先講我們先聽這個國土署相關的一些回應之後這個凍結的金額大家再來做討論那第五案一樣這個是分級收費原則剛剛講過了我們節省大家時間我們就不再贅述一樣我們需要更多的一個清楚的一個說明第七案裡面這個就是 |
transcript.whisperx[214].start |
9297.088 |
transcript.whisperx[214].end |
9325.51 |
transcript.whisperx[214].text |
租金補貼的部分租金補貼的推動一定要搭配這個市場透明化要不然這個花這麼多錢如果只是補貼選民的話那我認為成效是不夠的所以說相關的這個黑市的改善計畫報告在哪邊這個我們會希望看到具體的期程租金補貼的物件什麼時候我講因為你平常先從區塊性來做但終有一天大家要全數納入我們都希望這個市場趕快的正常化 |
transcript.whisperx[215].start |
9326.19 |
transcript.whisperx[215].end |
9355.47 |
transcript.whisperx[215].text |
所以說什麼時候然後如何讓他全數可以納入所謂的租金資訊統計專區還有物件形態就是到底因為這個實際上我們在溝通的事情很清楚嘛有的是華夏對不對有的是公寓有的是套房有的是雅房這部分怎麼來做精進這部分我們也希望可以看到這個內政部做一個具體的清楚的說明包含時間表在內的一個說明所以這部分我們也希望要有專案報告跟跟這個跟這個部分的預算的凍結來做處理第八案的部分 |
transcript.whisperx[216].start |
9357.851 |
transcript.whisperx[216].end |
9370.581 |
transcript.whisperx[216].text |
租金補貼模式已考量弱勢家庭,但擴大協助部分會否跑到非住宅用途?或未能達到居住品質? |
transcript.whisperx[217].start |
9383.066 |
transcript.whisperx[217].end |
9408.211 |
transcript.whisperx[217].text |
第9案的部分則是在講說這個租金補貼合約期間這個補貼者如果有出現比如說生故或者說他購置房屋也就是說他的狀態改變那你的這個審查的機制是什麼你有沒有辦法及時來做審查去避免有易領的一個狀況這部分也要來做說明所以要盡速清理然後有沒有易發款項的部分這部分本席也是非常關心的 |
transcript.whisperx[218].start |
9409.231 |
transcript.whisperx[218].end |
9428.525 |
transcript.whisperx[218].text |
11案是剛剛講過了跟第一案意思是一樣的包租貸款的留用的問題這部分也希望做個說明然後12案12案我覺得需要特別講一下這是上一次質詢的時候有講這個所謂的這個青年安心成家的優惠貸款利息他放在住宅基金裡面我們那個科目是有問題的 |
transcript.whisperx[219].start |
9430.226 |
transcript.whisperx[219].end |
9455.655 |
transcript.whisperx[219].text |
當然雖然馬上明年就要落日了上次署長也有清楚說明但是我是覺得未來有相關或是類似的這樣一個狀況的時候不可以再變在住宅基金裡面不要讓這樣子的一個支出去排擠到住宅基金住宅基金要好好來做社會住宅也好租金補貼也好這種可以真正把有需要的人去落實居住正義的工作我不要被這種貸款還變相造成房價上漲的部分來做提升這案部分本期是可以改組決議12案的部分可以改 |
transcript.whisperx[220].start |
9456.355 |
transcript.whisperx[220].end |
9483.351 |
transcript.whisperx[220].text |
10案跟13案可以並按一起改組決議。就是說這個要求這個115年以後這個要另詢正當預算單位跟科目不得在編列在住宅基金以內以上做出一些說明我覺得這個專報跟涉宅的又不太一樣是不是也租、租樸跟透明化部分也要另外來做專報啦這我們商量一下好不好以上謝謝我們等一下一起說啦好不好韓文委員好 那 那說明一下 |
transcript.whisperx[221].start |
9485.607 |
transcript.whisperx[221].end |
9508.446 |
transcript.whisperx[221].text |
主席跟委員謝謝委員的垂詢那我想我們針對整個租金市場的部分包括包租代管的增加我們最近公布的那個相關的空屋之後那我們也在跟許多的團體在包租代管團體在這邊溝通我們希望說將這些空屋能夠進取作為包租的一些業務所以我們一方面在量的上面 |
transcript.whisperx[222].start |
9508.626 |
transcript.whisperx[222].end |
9513.228 |
transcript.whisperx[222].text |
政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分 |
transcript.whisperx[223].start |
9524.834 |
transcript.whisperx[223].end |
9542.991 |
transcript.whisperx[223].text |
大學周邊以及各地區的相關的租金我們利用我們的租金補貼的資訊我們已經做了一定程度的公布包括一些物件的狀態我們也做了一些公布那未來我們當然會持續跟各個團體做溝通那繼續相關的整個租金透明化的一個政策那接下來我們也會在後續的 |
transcript.whisperx[224].start |
9545.413 |
transcript.whisperx[224].end |
9552.804 |
transcript.whisperx[224].text |
中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。 |
transcript.whisperx[225].start |
9561.357 |
transcript.whisperx[225].end |
9578.087 |
transcript.whisperx[225].text |
那些狀況有改變的人我們也會透過相關的資訊的追蹤那讓他們能夠知道說自己身份的狀況的改變那可能就不克領取這些租金的部分大概以上也就是說在未來我們的相關的租金的政策的說明上面我們會再做完整的一些報告那我們協商一下好不好 |
transcript.whisperx[226].start |
9686.908 |
transcript.whisperx[226].end |
9692.834 |
transcript.whisperx[226].text |
住宅基金的部分,我們就全部凍結9900萬,然後這個要專案報告,厚實可動之。我們這一個 |
transcript.whisperx[227].start |
9702.048 |
transcript.whisperx[227].end |
9730.283 |
transcript.whisperx[227].text |
租屋補貼政策與租屋市場透明化專報我們就是跟剛剛的社會住宅我們就是兩個中央報告我們一起排好不好我們兩個中央報告一起排那我們再補宣大概十二十三案改組決議那我們繼續下來都更基金中央都更基金 |
transcript.whisperx[228].start |
9731.56 |
transcript.whisperx[228].end |
9743.663 |
transcript.whisperx[228].text |
已經全部改組決議了14、15、16、17已經全部改組決議了那我們就不處理來那我們來組決議主決議212223212324案修正文字通過19、22、22漁軍詐案通過 |
transcript.whisperx[229].start |
9760.717 |
transcript.whisperx[229].end |
9763.498 |
transcript.whisperx[229].text |
那18案說明一下好,那發問委員那針對那個相關的提案我們會在6個月內向內政委會做出說明我們做一些相關的涉財的政策的評估好,18案照案通過 |
transcript.whisperx[230].start |
9796.585 |
transcript.whisperx[230].end |
9803.51 |
transcript.whisperx[230].text |
國土永續基金基金來源吳委員相關提案基金用途 |
transcript.whisperx[231].start |
9806.673 |
transcript.whisperx[231].end |
9835.026 |
transcript.whisperx[231].text |
一、二改組決議也都改組決議了一、二案改組決議第三案組決議我們文字修正通過好那這樣子好謝謝所以我們這個國土署的都處理好了好那各位委員那我們現在下來我們是不是先來審移民署的 |
transcript.whisperx[232].start |
9837.177 |
transcript.whisperx[232].end |
9865.458 |
transcript.whisperx[232].text |
審移民署好不好來 稅出部分好 那個審完的部分我們國土署的相關的有要相關的繼續留下沒有的我們就先回去了好不好可以啦 讓他們先回去了 |
transcript.whisperx[233].start |
9888.971 |
transcript.whisperx[233].end |
9910.428 |
transcript.whisperx[233].text |
好來公委員這個移民署的有拿到了嗎好那我們開始第一項說出部分一般行政第二案已經改組決議了那第一案說明一下 |
transcript.whisperx[234].start |
9916.398 |
transcript.whisperx[234].end |
9937.674 |
transcript.whisperx[234].text |
主席跟各位委員報告有關新住民事務中央三級機關的籌備30秒那我們現在已經設置了籌備作業小組也定期召開會議那由本部的吳長士擔任主席那有關工作小組由本人來召集那新機關的組織 |
transcript.whisperx[235].start |
9939.275 |
transcript.whisperx[235].end |
9958.473 |
transcript.whisperx[235].text |
架構方面我們也初步也做一些主設的規劃也盤點新機關相關的業務也召開跨部會的會議來盤點有哪些業務是新增有哪些是要移播那另外也自播廣播節目新住民新力量在10月18號來開播 |
transcript.whisperx[236].start |
9959.754 |
transcript.whisperx[236].end |
9984.292 |
transcript.whisperx[236].text |
那最後就是有關新機關的組織法規還有我們涉及到我們移民署的組織法還有部的組織法我們會在下會期來提出草案報告完畢好那我改組決議啦好來我們第二幕第二幕齁 |
transcript.whisperx[237].start |
9987.342 |
transcript.whisperx[237].end |
9994.625 |
transcript.whisperx[237].text |
來我先我先宣告一下吼第12案測案吼第4、第6、第16、第18、19、22、24、25、28、29、32、34、35、36、40、49、50、51、52、54改組決議好來各位委員好麥委員 |
transcript.whisperx[238].start |
10009.821 |
transcript.whisperx[238].end |
10013.885 |
transcript.whisperx[238].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業 |
transcript.whisperx[239].start |
10030.763 |
transcript.whisperx[239].end |
10032.626 |
transcript.whisperx[239].text |
沒有應變的機制不足。希望這個部分的話要提出就是即時的效應其他14、18、19這個部分的話還有 |
transcript.whisperx[240].start |
10046.943 |
transcript.whisperx[240].end |
10056.569 |
transcript.whisperx[240].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。 |
transcript.whisperx[241].start |
10066.596 |
transcript.whisperx[241].end |
10081.548 |
transcript.whisperx[241].text |
總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。六、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金� |
transcript.whisperx[242].start |
10095.72 |
transcript.whisperx[242].end |
10104.091 |
transcript.whisperx[242].text |
就比較沒有達成說我們的要這個費用的用意以上 謝謝好 還有沒有委員還沒有委員 沒有齁 那說明一下 |
transcript.whisperx[243].start |
10110.538 |
transcript.whisperx[243].end |
10126.71 |
transcript.whisperx[243].text |
二、繼續審查114年度中央政府總預算案附屬單位預算基金。三、繼續審查114年度中央政府總預算案附屬單位預算基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金。五、繼續審查114年度中央政府總預算案附屬單位預算基金。六、繼續審查114年度中央政府總預算案附屬單位預算基金。 |
transcript.whisperx[244].start |
10137.998 |
transcript.whisperx[244].end |
10160.973 |
transcript.whisperx[244].text |
叫這個119馬上來送1發生這個事情我們也覺得很遺憾但後續我們會來加強這方面的一些管控跟照顧至於委員剛剛所要求有果關基金的這個使用的部分我們就照委員的這個提示那盡量的 |
transcript.whisperx[245].start |
10161.753 |
transcript.whisperx[245].end |
10177.902 |
transcript.whisperx[245].text |
讓這個NGO團體他們來使用,同時我們也會做一些加強教育訓練,來提醒他們怎麼樣來申請這個基金,怎麼樣來做核銷,這些我們會繼續持續來辦理。好,來,蔣委員。 |
transcript.whisperx[246].start |
10189.008 |
transcript.whisperx[246].end |
10216.566 |
transcript.whisperx[246].text |
好 謝謝主席我幫徐新穎委員請問一下我們移民署第9案就是這個移民署預算案第2幕有個入出國籍移民管理業務就是要貫徹有關執行入出國籍移民政策編列預算2億左右的金額那當然我們現在都清楚移民署有修正這個出國籍移民法在今年3月有上路就是說針對預期停留或拘留 |
transcript.whisperx[247].start |
10217.988 |
transcript.whisperx[247].end |
10221.259 |
transcript.whisperx[247].text |
的行政罰款從原本2000塊增加到1萬塊提高了5倍 |
transcript.whisperx[248].start |
10225.131 |
transcript.whisperx[248].end |
10237.298 |
transcript.whisperx[248].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金。 |
transcript.whisperx[249].start |
10249.045 |
transcript.whisperx[249].end |
10250.808 |
transcript.whisperx[249].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業 |
transcript.whisperx[250].start |
10272.09 |
transcript.whisperx[250].end |
10296.699 |
transcript.whisperx[250].text |
針對第二目第五案就是我們的失聯移工人數的逐年上升因為我們都只能增加那本期在這邊凍結了500萬就是我們要如何來做解決才能遏止我們這失聯的移工不要再一直上升是不是請等一下我們署長來做說明 |
transcript.whisperx[251].start |
10298.2 |
transcript.whisperx[251].end |
10302.244 |
transcript.whisperx[251].text |
二、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[252].start |
10316.949 |
transcript.whisperx[252].end |
10335.82 |
transcript.whisperx[252].text |
沒有委員的話,署長說明。主席、各位委員。有關委員剛剛催省有關提高滑船會讓很多移工無力繳滑船。這個部分跟委員報告。移工失聯的這個問題因為涉及最主要到勞動政策的一個規劃。 |
transcript.whisperx[253].start |
10338.001 |
transcript.whisperx[253].end |
10363.576 |
transcript.whisperx[253].text |
事實上我們修法也不是針對移工來提高是整體對於預期的外來人口的一個加強管理移工失源最主要是涉及勞動力市場的需求勞動條件、僱主跟仲介管理等等面向我們移民署也事實上也 |
transcript.whisperx[254].start |
10364.616 |
transcript.whisperx[254].end |
10375.285 |
transcript.whisperx[254].text |
從查處的這個經驗裡面也提供這些改善的一些建議給勞動部那希望勞動部他能夠召集相關的目的失業主管機關來開會研議因為這個事實上失業移工的問題 |
transcript.whisperx[255].start |
10379.648 |
transcript.whisperx[255].end |
10408.709 |
transcript.whisperx[255].text |
除了下游的查處移民署跟協同國安機關的這個查處以外最主要就是源頭的部分能夠從政策面要做一些改善要不的話移民署其實我們一年查處的試驗移工都超過2萬人如果再加上預期的話大概都達到3萬多將近4萬人其實是這個查處的這個人數是非常多那不能單靠移民署 |
transcript.whisperx[256].start |
10409.349 |
transcript.whisperx[256].end |
10425.224 |
transcript.whisperx[256].text |
的這個查處就能夠完全解決這個問題一定要跨部會來合作所以這個部分事實上也不是說加重划緩然後就導致增加這樣子的話我想這個是並沒有說一個 |
transcript.whisperx[257].start |
10426.585 |
transcript.whisperx[257].end |
10444.075 |
transcript.whisperx[257].text |
中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營業部分關於內政部主管作 |
transcript.whisperx[258].start |
10455.942 |
transcript.whisperx[258].end |
10475.189 |
transcript.whisperx[258].text |
一到九月份已經是比去年是少6000人那這個部分是跟各位委員報告了那有關吳啓明委員剛剛提到的這個新住民數位資訊醫網的這個部分那這個計劃最主要是要提升這個新住民的 |
transcript.whisperx[259].start |
10476.569 |
transcript.whisperx[259].end |
10501.641 |
transcript.whisperx[259].text |
中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、警政署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署部分。六、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署部分。七、繼續審查114年度中央 |
transcript.whisperx[260].start |
10505.023 |
transcript.whisperx[260].end |
10513.948 |
transcript.whisperx[260].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營建基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營建基金。三、繼續審查114年度中央政府總預算案附屬單位預算。四、繼續審查114年度中央政府總預算案附屬單位預算。 |
transcript.whisperx[261].start |
10527.615 |
transcript.whisperx[261].end |
10545.552 |
transcript.whisperx[261].text |
未來如何增加新住民的參與?除了在各地舉辦課程說明會或推廣活動以外,我們也結合教育部與移民署各地的服務站或地方政府 |
transcript.whisperx[262].start |
10546.152 |
transcript.whisperx[262].end |
10550.977 |
transcript.whisperx[262].text |
二、繼續審查114年度中央政府總預算案附屬單位預算。三、繼續審查114年度中央政府總預算案附屬單位預算。四、繼續審查114年度中央政府總預算案附屬單位預算。 |
transcript.whisperx[263].start |
10571.208 |
transcript.whisperx[263].end |
10576.611 |
transcript.whisperx[263].text |
二、繼續審查114年度中央政府總預算案附屬單位預算基金。三、繼續審查114年度中央政府總預算案附屬單位預算基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金。五、繼續審查114年度中央政府總預算案附屬單位預算基金。 |
transcript.whisperx[264].start |
10594.462 |
transcript.whisperx[264].end |
10597.886 |
transcript.whisperx[264].text |
主管作業基金關於內政部主管作業基金關於內政部主管作業基金關於內政部主管作業基金關於內政部主管作業基金 |
transcript.whisperx[265].start |
10611.684 |
transcript.whisperx[265].end |
10615.888 |
transcript.whisperx[265].text |
要不要說我們這個基金也是要落實給移工要來去怎麼樣去照顧才不會導致說移工的醫療費還有其他費用還有說我們的收容所是後面就是要來給我們移民署的但是移民署要負責很 |
transcript.whisperx[266].start |
10631.581 |
transcript.whisperx[266].end |
10636.722 |
transcript.whisperx[266].text |
最大的責任就是要買機票給他們回去醫療什麼的移民署我覺得這個部分我們要去怎麼樣去協助讓我們移民署這邊才不會說沒有這個預算要去找這個預算來去花本來移工跟雇主就要找這個安定基金這個安定基金是不是要用在落實還有真的花在刀口上 |
transcript.whisperx[267].start |
10655.507 |
transcript.whisperx[267].end |
10658.99 |
transcript.whisperx[267].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。 |
transcript.whisperx[268].start |
10677.463 |
transcript.whisperx[268].end |
10679.724 |
transcript.whisperx[268].text |
在地方建立我們勞動部要移工來到台灣6年後他們有這個技術的能力的時候他們改了中階基層所以有這樣的目標有這樣子的未來的發展 |
transcript.whisperx[269].start |
10694.974 |
transcript.whisperx[269].end |
10696.215 |
transcript.whisperx[269].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[270].start |
10725.094 |
transcript.whisperx[270].end |
10730.376 |
transcript.whisperx[270].text |
中央政府總預算案附屬單位預算基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金.營建基金。五、繼續審查114年度中央政府總預算案附屬單位預算基金.營建基金。六、繼續審查114年度中央政府總預算案附屬單位預算基金.營建基金。七、繼續審查114年度中央政府總預算案附屬單位預算基金.營建基金。八、繼續審查114年度中央政府總預算案附屬單位預算基金.營建基金。 |
transcript.whisperx[271].start |
10754.727 |
transcript.whisperx[271].end |
10755.868 |
transcript.whisperx[271].text |
中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金。四、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[272].start |
10773.523 |
transcript.whisperx[272].end |
10794.049 |
transcript.whisperx[272].text |
栽培人才的臺灣但是人才又流失在其他國家去所以這個部分我們希望說我們移民署要加強跟勞動部跟各個部會如何來去做一個合作費用怎麼去應用才不會導致後面就變成落實在移民署的身上但是也沒辦法解決問題以上建議 謝謝那個牛委員我也沒有幾條 |
transcript.whisperx[273].start |
10801.821 |
transcript.whisperx[273].end |
10811.068 |
transcript.whisperx[273].text |
謝謝主席啊這個6個案子啊1、2、3、4、1、2、3、5個而已啦沒事20案的部分齁這個 |
transcript.whisperx[274].start |
10813.103 |
transcript.whisperx[274].end |
10837.632 |
transcript.whisperx[274].text |
有關於建立整體入出國籍移民管理的資訊系統這個部分因為預算的數量有增加113年的時候是860萬左右今年編了超過1000萬我們就關心這個事情的時候是在出入國的部分要辦理資安監控防護及個資保護管理 |
transcript.whisperx[275].start |
10838.274 |
transcript.whisperx[275].end |
10862.063 |
transcript.whisperx[275].text |
那你們在說明的時候其實有講其實速發部可以協助但後來好像速發部也是沒有協助我實在越來越搞不清楚這個部可以做什麼好第二次說明的時候講到這個移民署的這個資安專業人員其實量能是有點不太夠的啦你要執行核心業務壓力有點大所以你才會有委外嘛才會有這筆經費的存在可是問題是我們就問嘛就如果是要做資安監控防護跟個資保護管理 |
transcript.whisperx[276].start |
10863.384 |
transcript.whisperx[276].end |
10881.266 |
transcript.whisperx[276].text |
這種高度機敏性的資料委外是不是真的適合?所以你們在第二次說明的時候又講說委外單位也不會去碰到這個核心的問題只會做這個基本的一些通案的一些管理的一個措施那既然你又要委外你又沒有觸碰到核心的資訊 |
transcript.whisperx[277].start |
10882.767 |
transcript.whisperx[277].end |
10902.381 |
transcript.whisperx[277].text |
預算還增加我覺得這些說法彼此之間是相互矛盾的所以我希望這個有一個清楚的說明要不然就要拙於簡略嘛就是去年編多少今年就編多少這樣這是第20案的部分等一下我們給營運署一個說明的機會23案的部分是有關於新住民的部分叫做數位共融跟賠利計畫那這個計畫在114年的時候是編列2600萬元 |
transcript.whisperx[278].start |
10905.983 |
transcript.whisperx[278].end |
10922.258 |
transcript.whisperx[278].text |
這個計畫的利益是非常好的就是希望說新住民朋友可以多融入台灣用資訊科技讓融入台灣社會但是這個參與率其實是非常低的當然就有一定的數位落差也好或是實際上設計地位的落差也好雖然有點殘酷但使用率大概只有1.39% |
transcript.whisperx[279].start |
10923.499 |
transcript.whisperx[279].end |
10940.583 |
transcript.whisperx[279].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分關於內政部國土管理署及所屬、警政署部分關於內政部國土管理署部分關於內政部國土管理署部分關於內政部國土管理署部分關於內政部國土管理署部分關於內政部國土管理署部分關於內政部國土管理署部分關於內政部國土管理署部分關於內政部國土管理署部分關於內政部國土管理署部分關於內政部國土管理署部分關於內政部國土管理署部分關於內政部國土管理� |
transcript.whisperx[280].start |
10950.385 |
transcript.whisperx[280].end |
10951.065 |
transcript.whisperx[280].text |
三十一案是這個 |
transcript.whisperx[281].start |
10969.881 |
transcript.whisperx[281].end |
10992.915 |
transcript.whisperx[281].text |
新住民基本法通過之後為了要保障新住民的權益我們當然要成立專門機關這是立法的一個結論但是我們在幾次的說明裡面我們並不是很了解新住民未來這個署到底成立的業務量能的規劃在哪裡預計其整到目前為止我們都還沒有一個明確的答案這一點希望移民署做一定的說明第三十九案這個是入出國跟移民管理的規劃 |
transcript.whisperx[282].start |
10993.935 |
transcript.whisperx[282].end |
11010.51 |
transcript.whisperx[282].text |
這個問題就比較深入了但我還是希望可以聽到比較誠實的回答這我們講的就是敏感的問題啦就是很多人跳機嘛就是搭飛機來然後就滯留在機場那當然就聲稱要尋求政治庇護好那既然要談到政治庇護這樣子敏感的問題的時候那當然要有所謂的法源依據嘛 |
transcript.whisperx[283].start |
11011.19 |
transcript.whisperx[283].end |
11025.555 |
transcript.whisperx[283].text |
但是我國並沒有所謂的難民法所以說現在實務上的狀況就是說跳機的人士他就在管制區裡面你也沒有專屬安置空間你也沒有專門的安置經費深圳很多時候相關的這個單位這還要自掏腰包去滿足其基本的生活需求 |
transcript.whisperx[284].start |
11026.255 |
transcript.whisperx[284].end |
11054.33 |
transcript.whisperx[284].text |
那在管制區裡面要走來走去好像也許這個國安上面或多或少都會有一定的疑慮啦那麼基層執行人員的負擔這本席非常關心啦就是你沒有法沒有明確的這個法源依據然後實務上出現問題的時候那很難處理那既然沒有法源依據的情況下很多時候是政治處理嘛你就等待高層指示嘛這該是要遣返還是說另做安排所以它整個是在高度不確定的狀況下面來做處理的法令不完備的問題要怎麼樣來做處理啊 |
transcript.whisperx[285].start |
11054.99 |
transcript.whisperx[285].end |
11069.347 |
transcript.whisperx[285].text |
這我覺得移民署總要做一個規劃那內政部的部分要做一個說明最後一個是53案這個是無國籍人民跟外國人的預期停留那最近調高了罰款那這個雖然有點 |
transcript.whisperx[286].start |
11070.248 |
transcript.whisperx[286].end |
11071.589 |
transcript.whisperx[286].text |
三、繼續審查114年度中央政府總預算案附屬 |
transcript.whisperx[287].start |
11085.746 |
transcript.whisperx[287].end |
11108.672 |
transcript.whisperx[287].text |
剛好我們在實務上的觀察就是自行投案人數降低了因為罰則提高了可是自行投案人數降低的時候相對來講它其實就影響了事業移工的管控跟掌握跟遣返等等的一個狀況自行投案率的降低跟罰款提高目前看起來是有一定的關聯性那這個部分是不是也要做一些說明那剛剛有其他委員有提到救安基金要去補罰款這也是都是 |
transcript.whisperx[288].start |
11110.532 |
transcript.whisperx[288].end |
11122.663 |
transcript.whisperx[288].text |
不太正確的事情。針對私人移工的管控、預期居留的管控如何做得更加的來精進。這部分我們希望移民署來做出一些說明。以上是本集題五個案子,謝謝。剛剛那個張委員。好,謝謝主席。我要請教第47案,也是徐姓委員的提案,我有連署。 |
transcript.whisperx[289].start |
11135.38 |
transcript.whisperx[289].end |
11140.091 |
transcript.whisperx[289].text |
針對這個114年度移民署預算案第二幕入出國籍移民管理業務向下主要就是針對 |
transcript.whisperx[290].start |
11142.066 |
transcript.whisperx[290].end |
11167.289 |
transcript.whisperx[290].text |
執行外來人口管理服務及違法調查處理業務。編列預算114年是編列8698萬。那大家可以瞭解到說因為移民署為了鼓勵民眾檢舉失聯移工特別設立獎勵辦法只要有人發現失聯移工並向相關單位通報成功有機會可以領的五千那新聞報導是寫是五千到七萬塊不等獎金 |
transcript.whisperx[291].start |
11168.25 |
transcript.whisperx[291].end |
11183.36 |
transcript.whisperx[291].text |
不料該機制被移民署內部人士尤其有些內部高層用來榨零獎金我們想要請教署長的是說那現在這個機制未來為什麼會他的獎金是5000到7萬不等的獎金 |
transcript.whisperx[292].start |
11185.16 |
transcript.whisperx[292].end |
11213.339 |
transcript.whisperx[292].text |
過去有人濫用這樣的獎金我想請教我們移民署到底是編列多少的獎金在這個預算單位裡面去那未來要如何去做改善的精進部分所以這個學信委員是有提議要凍結一千萬那就請移民署就涉嫌偽造檢舉勢力的移工詐領獎金的問題提出具體改善計畫後提出專案報告後始經同意才可以凍結以上謝謝 |
transcript.whisperx[293].start |
11215.84 |
transcript.whisperx[293].end |
11233.445 |
transcript.whisperx[293].text |
來那個方位謝主席所以本期在這DM有提出幾個案子第一個就是在第10萬部分那個水電費因為水電費增加比較多大概高達19%那本來其實這一項是要減驗350萬不過經過署長的說明其實真的確實那個移民署 |
transcript.whisperx[294].start |
11239.927 |
transcript.whisperx[294].end |
11240.768 |
transcript.whisperx[294].text |
二、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[295].start |
11260.911 |
transcript.whisperx[295].end |
11269.253 |
transcript.whisperx[295].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。 |
transcript.whisperx[296].start |
11288.439 |
transcript.whisperx[296].end |
11292.383 |
transcript.whisperx[296].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[297].start |
11309.321 |
transcript.whisperx[297].end |
11323.841 |
transcript.whisperx[297].text |
我們知道其實這幾年移民署真的很認真在做這個部分不過數據上還是可以告訴大家確實它的移工是越來越多那當然我們知道移民署認真可是問題還是沒有解決 |
transcript.whisperx[298].start |
11325.868 |
transcript.whisperx[298].end |
11327.389 |
transcript.whisperx[298].text |
二、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[299].start |
11351.784 |
transcript.whisperx[299].end |
11376.56 |
transcript.whisperx[299].text |
還是需要其他部會來協助所以我們要強化的就是在源頭的審查還有管理機制那這邊要請書面提出書面報告強烈的要求要提出書面報告那包括內容要包括跟各部會的分工跟合作的成果也讓其他部會能夠來協助整個移工的問題來解決所以這部分我們本席這邊提出凍結100萬那要求書面報告之後來使用凍結 |
transcript.whisperx[300].start |
11378.782 |
transcript.whisperx[300].end |
11384.237 |
transcript.whisperx[300].text |
金融衛生社動資以上就是本席提的幾個案子請說明 |
transcript.whisperx[301].start |
11391.423 |
transcript.whisperx[301].end |
11411.47 |
transcript.whisperx[301].text |
喂,好,署長,針對齁,我們的失聯移工齁,你看齁,每年現在已經提升到八萬八千多齁,但是齁,你說法管提升齁,但是你要從源頭,你所有移工進來都是仲介,仲介公司,那你仲介公司,你那麼多仲介公司,你要做一個 |
transcript.whisperx[302].start |
11412.27 |
transcript.whisperx[302].end |
11414.332 |
transcript.whisperx[302].text |
三、繼續審查114年度中央政府總預算 |
transcript.whisperx[303].start |
11431.812 |
transcript.whisperx[303].end |
11445.118 |
transcript.whisperx[303].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土 |
transcript.whisperx[304].start |
11456.443 |
transcript.whisperx[304].end |
11456.923 |
transcript.whisperx[304].text |
二、繼續審查114年度中央 |
transcript.whisperx[305].start |
11482.658 |
transcript.whisperx[305].end |
11508.548 |
transcript.whisperx[305].text |
我這邊提兩個問題也希望可以得到署長的回應第一個就是說失聯移工目前有沒有統計他是當初進來台灣的時候他的的種類是哪一種比如說營建移工或者是照護移工這是第一個第二個就是有沒有所謂的黑戶寶寶就是失聯移工他們當然如果真的有辦法生出小孩了那這個小孩 |
transcript.whisperx[306].start |
11509.773 |
transcript.whisperx[306].end |
11526.463 |
transcript.whisperx[306].text |
我們現在怎麼處理那有沒有可能讓失聯移工他可以把這個小孩既然生出來了那我們對這個小孩的政策到底是怎樣以上這兩點也希望做一個回應好那請說明好 |
transcript.whisperx[307].start |
11531.887 |
transcript.whisperx[307].end |
11557.311 |
transcript.whisperx[307].text |
主席各位委員請就各位委員所追詢的我來逐項的報告有關剛剛麥委員所提的移工跟我們雇主都有繳交救安基金那救安基金怎麼樣來支援本屬的尤其是消防署 |
transcript.whisperx[308].start |
11558.251 |
transcript.whisperx[308].end |
11584.853 |
transcript.whisperx[308].text |
總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。六、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金� |
transcript.whisperx[309].start |
11586.554 |
transcript.whisperx[309].end |
11599.708 |
transcript.whisperx[309].text |
總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。 |
transcript.whisperx[310].start |
11609.438 |
transcript.whisperx[310].end |
11635.86 |
transcript.whisperx[310].text |
收容所衍生的這些費用盡量的我們都有請這個救安基金這邊來支應那這個部分我們也透過每一年我們都透過製作這個計劃來跟他們做申請那過去我記得大概10年前大概我們大概用了大概三四千萬那到現在大概我們一年也要跟他申請到 |
transcript.whisperx[311].start |
11636.36 |
transcript.whisperx[311].end |
11647.348 |
transcript.whisperx[311].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[312].start |
11655.615 |
transcript.whisperx[312].end |
11669.476 |
transcript.whisperx[312].text |
這個移工類的我們還是會請這個救安基金要用在我們這個地方能夠支援我們這個部分我們會持續來辦理至於中階技術人力說這個部分就是說 |
transcript.whisperx[313].start |
11670.658 |
transcript.whisperx[313].end |
11693.79 |
transcript.whisperx[313].text |
移工在這邊工作滿六年以後可以他這個申請進入到中階技術人力的這個部分最主要還是在勞動部他來來主政他有一個這個流財久用的一個方案那至於說會不會有很多的關卡這個所謂剛剛的看得到吃不到等等這些我想我們移民署是 |
transcript.whisperx[314].start |
11694.85 |
transcript.whisperx[314].end |
11708.649 |
transcript.whisperx[314].text |
後面的一個查處單位那怎麼樣的流財這個部分我們會來跟勞動部這個這個來進一步的商量看看目前我所知道的這個 |
transcript.whisperx[315].start |
11710.692 |
transcript.whisperx[315].end |
11732.947 |
transcript.whisperx[315].text |
就是說中階技術人力好像在廠工方面是申請的是比較多照護方面的還比較少未來怎麼樣把這些有經營的這些人才持續的留下來我們會跟勞動部來跟他們做一些建議這個是我想照委員的意見來辦 |
transcript.whisperx[316].start |
11734.128 |
transcript.whisperx[316].end |
11735.489 |
transcript.whisperx[316].text |
民務委員提到資訊委外監控服務部分 |
transcript.whisperx[317].start |
11744.889 |
transcript.whisperx[317].end |
11758.715 |
transcript.whisperx[317].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業 |
transcript.whisperx[318].start |
11765.538 |
transcript.whisperx[318].end |
11780.473 |
transcript.whisperx[318].text |
因為像移民署我們的資訊來講系統非常的多啦多達大概有40幾個系統46個系統其實非常的規模非常的龐大我們除了入住境查驗系統 |
transcript.whisperx[319].start |
11781.614 |
transcript.whisperx[319].end |
11782.555 |
transcript.whisperx[319].text |
三、繼續審查114年度中央政府總預算 |
transcript.whisperx[320].start |
11800.206 |
transcript.whisperx[320].end |
11815.376 |
transcript.whisperx[320].text |
三、繼續審查114年度中央政府總預算案附屬單位預算基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金。五、繼續審查114年度中央政府總預算案附屬單位預算基金。六、繼續審查114年度中央政府總預算案附屬單位預算基金。七、繼續審查114年度中央政府總預算案附屬單位預算基金。八、繼續審查114年度中央政府總預算案附屬單位預算基金。 |
transcript.whisperx[321].start |
11828.484 |
transcript.whisperx[321].end |
11842.012 |
transcript.whisperx[321].text |
這個積合除了我剛剛講的這樣子的所謂的上級的積合、自辦內控跟內積的積合等等之外我們還是需要這個委外廠商來跟我們做協助 |
transcript.whisperx[322].start |
11844.093 |
transcript.whisperx[322].end |
11873.063 |
transcript.whisperx[322].text |
其實這個經常性的工作除了你做集合之外經常性的一個監控除了我們自己的人以外我們也希望這個廠商也需要廠商他們的專業來協助我們因為這個資安的工作是與時俱進的這個經常也是會發布所謂的資安的警戒這個警告等等這些資訊那這個時候就要加強要去注意所以我想這個部分 |
transcript.whisperx[323].start |
11873.943 |
transcript.whisperx[323].end |
11888.701 |
transcript.whisperx[323].text |
是不是委員也容許我們除了我們剛剛所報告的以外這個外部的一個委外其實也是相對的非常的一個重要那至於說那個新住民資訊的數位的 |
transcript.whisperx[324].start |
11889.321 |
transcript.whisperx[324].end |
11894.625 |
transcript.whisperx[324].text |
中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業 |
transcript.whisperx[325].start |
11907.154 |
transcript.whisperx[325].end |
11909.055 |
transcript.whisperx[325].text |
三、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[326].start |
11928.242 |
transcript.whisperx[326].end |
11940.607 |
transcript.whisperx[326].text |
這個移工的這個引進的這個這個部分這個因為最主要涉及的還是在勞動部那至於說有沒有這個他這個這個過程這個31案是什麼給我看一下31案 |
transcript.whisperx[327].start |
11953.578 |
transcript.whisperx[327].end |
11955.621 |
transcript.whisperx[327].text |
我還是要看了一下對不起 |
transcript.whisperx[328].start |
11963.425 |
transcript.whisperx[328].end |
11980.336 |
transcript.whisperx[328].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、 |
transcript.whisperx[329].start |
11985.179 |
transcript.whisperx[329].end |
11996.865 |
transcript.whisperx[329].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[330].start |
12008.811 |
transcript.whisperx[330].end |
12036.429 |
transcript.whisperx[330].text |
主設的部分我們也盤點新機關未來是4個組或3個組我們做不同方案的一些評估那到明年的話我也跟委員報告我們會在下個會期會把我們的這個組織法的一個草案還有移民法因為那如果是這個新住民的這個三級機關出去那我們自己的組織法也要做修 |
transcript.whisperx[331].start |
12037.149 |
transcript.whisperx[331].end |
12040.794 |
transcript.whisperx[331].text |
三、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[332].start |
12053.826 |
transcript.whisperx[332].end |
12062.129 |
transcript.whisperx[332].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金.營建設基金 |
transcript.whisperx[333].start |
12069.511 |
transcript.whisperx[333].end |
12095.235 |
transcript.whisperx[333].text |
沒有說讓他在管制區裡面趴趴走事實上我們在管制區裡面是有照護室就照護室有這個設置那那個經費的話也不會說讓同仁自己負擔因為如果這個航空公司搭載的來的這個乘客沒有按照這個他的轉機到往下一層的目的地走 |
transcript.whisperx[334].start |
12095.675 |
transcript.whisperx[334].end |
12116.51 |
transcript.whisperx[334].text |
然後又未具備進入我國的這些簽證或是許可的話事實上這些相關的費用還是航空司要做一些負擔那這些我們都妥適的處理相關的案件我們會做身份的清查然後也會會同相關的機關做一些認定 |
transcript.whisperx[335].start |
12120.052 |
transcript.whisperx[335].end |
12122.474 |
transcript.whisperx[335].text |
三、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[336].start |
12135.223 |
transcript.whisperx[336].end |
12161.178 |
transcript.whisperx[336].text |
大陸地區人民事實上在難民法的一個之前的一個設計事實上也不包括大陸地區的人民不過我們目前也有一個就是說有既有的一個機制在處理的也不至於說說這個像委員剛所提的好像來了我們就是會這個沒有一定的 |
transcript.whisperx[337].start |
12161.818 |
transcript.whisperx[337].end |
12162.899 |
transcript.whisperx[337].text |
三、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[338].start |
12171.971 |
transcript.whisperx[338].end |
12176.254 |
transcript.whisperx[338].text |
二、繼續審查114年度中央政府總預算案附屬單位預算基金。三、繼續審查114年度中央政府總預算案附屬單位預算基金。 |
transcript.whisperx[339].start |
12202.034 |
transcript.whisperx[339].end |
12202.076 |
transcript.whisperx[339].text |
總預算案 |
transcript.whisperx[340].start |
12202.765 |
transcript.whisperx[340].end |
12217.788 |
transcript.whisperx[340].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。 |
transcript.whisperx[341].start |
12233.251 |
transcript.whisperx[341].end |
12242.857 |
transcript.whisperx[341].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、移民署部分。四、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[342].start |
12257.886 |
transcript.whisperx[342].end |
12267.331 |
transcript.whisperx[342].text |
三、繼續審查114年度中央政府總預算案附屬單位預算。四、繼續審查114年度中央政府總預算案附屬單位預算。五、繼續審查114年度中央政府總預算案附屬單位預算。六、繼續審查114年度中央政府總預算案附屬單位預算。 |
transcript.whisperx[343].start |
12282.931 |
transcript.whisperx[343].end |
12304.449 |
transcript.whisperx[343].text |
轉完了以後我們也要划算也要把它降低讓它好像不必付出任何的代價就出去我想這個有一個平衡點所以跟委員報告我們這個做這樣子的一個這個調升還是有它的意義存在這跟委員做報告 |
transcript.whisperx[344].start |
12305.229 |
transcript.whisperx[344].end |
12316.138 |
transcript.whisperx[344].text |
三、繼續審查114年度中央政府總預算案附屬單位預算基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金。五、繼續審查114年度中央政府總預算案附屬單位預算基金。六、繼續審查114年度中央政府總預算案附屬單位預算基金。 |
transcript.whisperx[345].start |
12329.622 |
transcript.whisperx[345].end |
12343.43 |
transcript.whisperx[345].text |
中央政府總預算案附屬單位預算基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金。五、繼續審查114年度中央政府總預算案附屬單位預算基金。六、繼續審查114年度中央政府總預算案附屬單位預算基金。 |
transcript.whisperx[346].start |
12358.154 |
transcript.whisperx[346].end |
12386.964 |
transcript.whisperx[346].text |
大概一年支付多少錢?一年支付多少錢?大概是達到兩千多萬,是不是?但是去年有一個擴大專案。對,我想那個檢舉獎金呢,幹委員所要提的是,如果說是檢舉獎金是給民眾的,我想應該用不到兩萬。 |
transcript.whisperx[347].start |
12388.137 |
transcript.whisperx[347].end |
12402.344 |
transcript.whisperx[347].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[348].start |
12414.97 |
transcript.whisperx[348].end |
12429.099 |
transcript.whisperx[348].text |
是麻煩署長講重點好不好好那最後就是黃委員有提到水電費啦這些我就不再回個人電腦台灣我們都照辦我就不再回復了 |
transcript.whisperx[349].start |
12430.601 |
transcript.whisperx[349].end |
12436.689 |
transcript.whisperx[349].text |
五、繼續審查114年度中央政府總預算案附屬單位預算。四、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[350].start |
12445.521 |
transcript.whisperx[350].end |
12452.366 |
transcript.whisperx[350].text |
二、繼續審查114年度中央政府總預算案附屬單位預算基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算基金.營建基金。 |
transcript.whisperx[351].start |
12475.741 |
transcript.whisperx[351].end |
12484.47 |
transcript.whisperx[351].text |
政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。 |
transcript.whisperx[352].start |
12499.385 |
transcript.whisperx[352].end |
12521.222 |
transcript.whisperx[352].text |
政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。六、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。七、繼續審查114年度中央政府總預算案附屬單位預 |
transcript.whisperx[353].start |
12531.307 |
transcript.whisperx[353].end |
12554.733 |
transcript.whisperx[353].text |
來 牛尾謝謝主席我覺得詳細說明還不錯有解答一部分的問題不過我們還是要稍微注意一下比如說剛剛這個資訊服務費的系統我們大概要理解你的分工概念但是還要解關鍵的問題其實是那為什麼會增加嘛從800多萬到1000多萬它是增加了哪些業務量還是新的項目這一部分請移民署要提供資料沒關係我們待會就進入那個額度的協商那個時候再來補充是OK的 |
transcript.whisperx[354].start |
12555.653 |
transcript.whisperx[354].end |
12560.154 |
transcript.whisperx[354].text |
二、繼續審查114年度中央政府總預算案附屬單位預算基金。三、繼續審查114年度中央政府總預算案附屬單位預算基金。三、繼續審查114年度中央政府總預算案附屬單位預算基金。三、繼續審查114年度中央政府總預算案附屬單位預算基金。 |
transcript.whisperx[355].start |
12584.001 |
transcript.whisperx[355].end |
12611.801 |
transcript.whisperx[355].text |
這個出入國移民管理規劃的部分就是所謂的挑機人士現在法務依據但是你講有一個SOP那是不是到時候你提供書面報告的時候用書面報告的方式把這個SOP跟管理的機制來做清楚的說明跟補充那本集要特別提醒因為我們當然是跟第一線的執法人員有做過一些瞭解跟訪談才會知道有這樣一個反應換言之你的SOP如果可以跟基層的執法人員做好的會商讓他們可以好辦事減輕基層的負擔我想他就是有意義的好不好 |
transcript.whisperx[356].start |
12612.601 |
transcript.whisperx[356].end |
12622.044 |
transcript.whisperx[356].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署及所屬、消防署及所屬、消防署及所屬、消防署及所屬、消防署及所屬、消防署及所屬、消防署及所屬、 |
transcript.whisperx[357].start |
12636.429 |
transcript.whisperx[357].end |
12659.374 |
transcript.whisperx[357].text |
來讓這個失聯移工的問題可以做﹐可以得到進一步的解決而不是把專情隊累得半死嘛對不對所以這部分也請做一下補充說明以上謝謝主席我講一下主席在這我有提案在第二幕提到這樣在這個專情隊裡面的能力改善的措施裡面我感覺說 |
transcript.whisperx[358].start |
12660.819 |
transcript.whisperx[358].end |
12676.569 |
transcript.whisperx[358].text |
這個營收負擔的太大應該要增加人力啦在這裏面你們要好好去處理一下因為我認為你要叫他做工作人員的營收不夠說出來要怎麼做才有好的成績出來以上好請說明 |
transcript.whisperx[359].start |
12685.752 |
transcript.whisperx[359].end |
12708.877 |
transcript.whisperx[359].text |
主席、各位委員有關這個資訊的部分今年我初步了解我們因為對於相關跟我們借接機關也增加不少包括比如說打造我們就增加金管會、通傳會等等相關機關跟我們借接那像這些我們也都要做資安的一些集合 |
transcript.whisperx[360].start |
12712.438 |
transcript.whisperx[360].end |
12732.559 |
transcript.whisperx[360].text |
可能還有其他的一些項目我想我們執行組組長等一下會再做說明那有關新機關的那個期程我們盡量這個部分我想在下會期我們把這個草案我們希望能夠行政院能夠通過然後送到我們 |
transcript.whisperx[361].start |
12733.26 |
transcript.whisperx[361].end |
12749.565 |
transcript.whisperx[361].text |
總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民 |
transcript.whisperx[362].start |
12762.569 |
transcript.whisperx[362].end |
12769.374 |
transcript.whisperx[362].text |
三、繼續審查114年度中央政府總預算案附屬單位預算基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金.營建基金。 |
transcript.whisperx[363].start |
12794.069 |
transcript.whisperx[363].end |
12814.635 |
transcript.whisperx[363].text |
111年因為那個就是說就是那個邊境解封以後我們為了因應那個那個機場那個人流的部分所以優先是在那個地方後續我想這個部分我們會來跟上級來爭取 |
transcript.whisperx[364].start |
12816.055 |
transcript.whisperx[364].end |
12835.149 |
transcript.whisperx[364].text |
要去清除、要去處理,否則真的他們的負擔也很重。你要叫他們去做,如果他們不夠、人不夠,要怎麼去做多少工作?好不好?好,這個我們持續來爭取。好,做以上的一個答覆。好,我們寫這樣。 |
transcript.whisperx[365].start |
13323.51 |
transcript.whisperx[365].end |
13341.421 |
transcript.whisperx[365].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。 |
transcript.whisperx[366].start |
13351.021 |
transcript.whisperx[366].end |
13374.358 |
transcript.whisperx[366].text |
阿對啊中央就是不用再說啦對啊齁好來那我們第三幕齁欸沒有沒有嘿就就照列齁預算照列那組決議也沒有好不好那我們啦新住民發展基金啦只有兩案我們處理一下好不好齁好我還是要宣告一下好不好齁一、二案改組決議齁 |
transcript.whisperx[367].start |
13380.496 |
transcript.whisperx[367].end |
13404.832 |
transcript.whisperx[367].text |
那我們現在移民署的預算我們全部都處理完了那移民署的也可以先回去那各位有要休息嗎我看大家聖錦霄 |
transcript.whisperx[368].start |
13414.636 |
transcript.whisperx[368].end |
13427.822 |
transcript.whisperx[368].text |
好啊!那先休息一下好不好?好!那先休息一下!好好!我跟你講齁! |
transcript.whisperx[369].start |
13439.804 |
transcript.whisperx[369].end |
13444.447 |
transcript.whisperx[369].text |
沒有啦沒有啦沒有啦這個是我們委員會這個是我們委員會決定不是部長決定對啦這個是我們委員會決定來我跟你講我們先休息兩分鐘討論一下 |
transcript.whisperx[370].start |
13685.609 |
transcript.whisperx[370].end |
13687.717 |
transcript.whisperx[370].text |
好我們休息30分鐘吃飯吼 |
transcript.whisperx[371].start |
16417.79 |
transcript.whisperx[371].end |
16444.809 |
transcript.whisperx[371].text |
好來那我們現在開始審齁這個警政署的預算齁那我們那個有涉及機密的那個部分我們先不處理好不好那我們其他的先來處理齁好來那個警政署的稅出部分 |
transcript.whisperx[372].start |
16447.029 |
transcript.whisperx[372].end |
16467.046 |
transcript.whisperx[372].text |
主席有關會議詢問就是說很感謝主席剛剛特別提說這個有類為密件的部分暫不處理那是不是要討論一下要什麼時候處理禮拜三早上啊剛剛不是這樣好了沒有要宣告一下拜託拜託主席宣告一下那個是我們這個今天審完我們結束之後會宣告當然啦不是現在啦我們照程序來好不好 |
transcript.whisperx[373].start |
16472.776 |
transcript.whisperx[373].end |
16494.27 |
transcript.whisperx[373].text |
好來那我們來警政署及所屬稅出的部分這個通案的部分這個委員都不在啦那我們是我們等一下到裡面我們再來處理好不好好來第一幕一般行政來我先宣告一下好不好 |
transcript.whisperx[374].start |
16496.465 |
transcript.whisperx[374].end |
16499.906 |
transcript.whisperx[374].text |
第四、五、六、七、八、九、十改組決議 |
transcript.whisperx[375].start |
16514.189 |
transcript.whisperx[375].end |
16528.617 |
transcript.whisperx[375].text |
立法院第11屆第2會期內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所 |
transcript.whisperx[376].start |
16543.985 |
transcript.whisperx[376].end |
16559.14 |
transcript.whisperx[376].text |
提高全面的防詐意識提高防詐意識會做這個這個未來對於網路跟這個電視的這個部分都在做加強那這部分我們會一起來做努力使得詐欺的案件能夠降低 |
transcript.whisperx[377].start |
16560.281 |
transcript.whisperx[377].end |
16586.841 |
transcript.whisperx[377].text |
降低詐欺的犯罪以及詐欺受騙的金額。這個問題我們會做每個禮拜每個月多做來做一個檢討,做以上的一個補充。這個你們回答的時候,我只給30秒就不要超過,好不好?你做到署長了應該可以啦。 |
transcript.whisperx[378].start |
16588.251 |
transcript.whisperx[378].end |
16590.374 |
transcript.whisperx[378].text |
二、繼續審查114年度中央 |
transcript.whisperx[379].start |
16597.761 |
transcript.whisperx[379].end |
16602.202 |
transcript.whisperx[379].text |
我先宣告一下好不好47、49、51、57、58、59、60、61測案12、14、16、17、19、20、22、23、24、26、28、29、31、37、39、41、46、50、52、53、55改組決議各位委員有沒有什麼意見 |
transcript.whisperx[380].start |
16625.816 |
transcript.whisperx[380].end |
16644.641 |
transcript.whisperx[380].text |
都沒有齁好謝謝主席喔主席我們15案是賺機密嘛齁對啊對啊18案呢18案也是機密18案也是機密齁對好謝謝 |
transcript.whisperx[381].start |
16657.311 |
transcript.whisperx[381].end |
16662.354 |
transcript.whisperx[381].text |
因為這一幕啊大家有那個的幾乎都是我們禮拜三要審的啦 |
transcript.whisperx[382].start |
16689.694 |
transcript.whisperx[382].end |
16690.375 |
transcript.whisperx[382].text |
對阿都是阿 |
transcript.whisperx[383].start |
16699.932 |
transcript.whisperx[383].end |
16717.515 |
transcript.whisperx[383].text |
二、繼續審查114年度中央政府總預算案附屬單位預算基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算基金.營建建設基金。二、繼續審查114年度中央政府總預算案附屬單位預算基金.營建建設基金。二、繼續審查114年度中央政府總預算案附屬單位預算基金.營建建設基金。二、繼續審查114年度中央政府總預算案附屬單位預算基金.營建建設基金。二、繼續審查114年度中央政府總預算案附屬單位預算基金� |
transcript.whisperx[384].start |
16728.138 |
transcript.whisperx[384].end |
16742.135 |
transcript.whisperx[384].text |
重新整理警政單位的就是讓人民重新信任警察這個部分所以我有動10%就是警政業務的部分以上報告其他都改主結議 |
transcript.whisperx[385].start |
16749.266 |
transcript.whisperx[385].end |
16764.342 |
transcript.whisperx[385].text |
好,謝謝主席。我幫徐欣委員要請教署長關於第33案,就是有關於近年近期來警察封記跟貪賭問題時有所聞,以及是不是警員有過去有跟這個犯罪集團勾結的 |
transcript.whisperx[386].start |
16765.543 |
transcript.whisperx[386].end |
16766.143 |
transcript.whisperx[386].text |
三、繼續審查114年度中央政府總預算 |
transcript.whisperx[387].start |
16781.611 |
transcript.whisperx[387].end |
16807.79 |
transcript.whisperx[387].text |
賭博網站,新北行大也有查到偵查組被控侵佔毒品遭生壓。今年的11月7日,臺南警察在查緝地下賭場時,也有查到臺南市交通警察大隊的員警與民眾聚賭。我們想請教署長的是,最近這一系列警察風紀案件持續連續爆發,造成社會對警察的信心不足。 |
transcript.whisperx[388].start |
16808.61 |
transcript.whisperx[388].end |
16829.46 |
transcript.whisperx[388].text |
那尤其針對這個濫用職權、非法取得個資提供詐欺集團使用那大家最近都在這個打詐還發現有這樣的情況覺得非常不能接受所以是不是請這個署長提供說是否有哪一些內部集合的措施、追索機制在我們每位辛苦的員警在辦案的時候可以調用哪一些資料 |
transcript.whisperx[389].start |
16830.08 |
transcript.whisperx[389].end |
16855.039 |
transcript.whisperx[389].text |
要來集合勾基,能防弊,並有效查緝、控制警政情勢外洩的情形。學信委員提出應該要凍結預算10%,請警政署重新檢討,並提出更有效對應的方案。也要對內政委員會提出專案報告,經同意獲實的動質。以上,謝謝。好,還有沒有其他委員? |
transcript.whisperx[390].start |
16856.857 |
transcript.whisperx[390].end |
16864.728 |
transcript.whisperx[390].text |
二、繼續審查114年度中央政府總預算案附屬單位預算。三、繼續審查114年度中央政府總預算案附屬單位預算。 |
transcript.whisperx[391].start |
16872.057 |
transcript.whisperx[391].end |
16875.541 |
transcript.whisperx[391].text |
三、繼續審查114年度中央政府作業基金.營建建設基金。四、繼續審查114年度中央政府作業基金.營建基金。 |
transcript.whisperx[392].start |
16887.795 |
transcript.whisperx[392].end |
16904.907 |
transcript.whisperx[392].text |
對於這個風機的整治應該是要從我們的主觀來做一個有這個整治風機的這個決心那當然有一些這個措施包括這個張文所提的就是遠景對於泄密的這個部分我們是有遠景的一個考的一個機制那這個機制裡面對於 |
transcript.whisperx[393].start |
16906.668 |
transcript.whisperx[393].end |
16910.672 |
transcript.whisperx[393].text |
政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金.營建設基金 |
transcript.whisperx[394].start |
16925.385 |
transcript.whisperx[394].end |
16942.262 |
transcript.whisperx[394].text |
有異樣或有異狀的這個這個狀況來做一個來做一個查核那我們這方面的績效也也非常的也非常就是有發現到這個狀況那這個資訊如果是他只是一個好奇當然屬於行政的部分我們都給你重層那如果有外洩 |
transcript.whisperx[395].start |
16943.143 |
transcript.whisperx[395].end |
16949.63 |
transcript.whisperx[395].text |
二、繼續審查114年度中央政府總預算案附屬單位預算基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金.營建建設基金。 |
transcript.whisperx[396].start |
16966.227 |
transcript.whisperx[396].end |
16972.849 |
transcript.whisperx[396].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。 |
transcript.whisperx[397].start |
16990.689 |
transcript.whisperx[397].end |
17011.428 |
transcript.whisperx[397].text |
謝謝主席主席這個本席在警政署裡面有提幾個案子那這邊先提出來大家討論第一個就是在那個41案的部分就是我們在辦理這個競賽擬軍向新力那因為整個競賽的那個內容並沒有詳細的說明過於籠統所以這個案子本席是提議要凍結10% |
transcript.whisperx[398].start |
17013.47 |
transcript.whisperx[398].end |
17023.655 |
transcript.whisperx[398].text |
三、繼續審查114年度中央政府主管作業基金.營建建設基金。四、繼續審查114年度中央政府主管作業基金.營建建設基金。五、繼續審查114年度中央政府主管作業基金.營建建設基金。六、繼續審查114年度中央政府主管作業基金.營建建設基金。七、繼續審查114年度中央政府主管作業基金.營建建設基金。 |
transcript.whisperx[399].start |
17044.019 |
transcript.whisperx[399].end |
17068.852 |
transcript.whisperx[399].text |
116的部分116部分這個是我們的刑事警察事務費呃刑事警察業務費裡面辦刑事偵防中的業務裡面業務費的物品那個那個洪委員洪委員我們現在第二部分不好意思不好意思不好意思先這樣先這樣謝謝好那個那個徐委員 |
transcript.whisperx[400].start |
17073.64 |
transcript.whisperx[400].end |
17083.928 |
transcript.whisperx[400].text |
謝謝主席。針對第二幕的部分,就是我的提案是有針對40、43、44案。這三個案子都是辦理經濟、民利、任務、隊的編組訓練。44、34、44是禮拜三嗎?是24吧? |
transcript.whisperx[401].start |
17094.92 |
transcript.whisperx[401].end |
17098.783 |
transcript.whisperx[401].text |
二、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[402].start |
17110.643 |
transcript.whisperx[402].end |
17112.325 |
transcript.whisperx[402].text |
二、繼續審查114年度中央政府總預算案附屬單位預算基金.營建設基金.營建設基金 |
transcript.whisperx[403].start |
17129.481 |
transcript.whisperx[403].end |
17154.958 |
transcript.whisperx[403].text |
因為我們看到這些項目是有講說要增強地方民力的裝備辦理民力技能競賽跟強化相關訓練那這些項目目前看起來是為了提升基層民力的能力跟效率但實際的內容執行我們並沒有看到清楚的規劃跟具體的說明那我想這個民力的提升有效運用是地方治安這個穩定的一個重要基礎 |
transcript.whisperx[404].start |
17155.839 |
transcript.whisperx[404].end |
17160.443 |
transcript.whisperx[404].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[405].start |
17179.201 |
transcript.whisperx[405].end |
17199.656 |
transcript.whisperx[405].text |
那要求警政署於一個月內向立法院內政委員會提交書面報告新同意後才能夠動用那當然報告的內容要清楚的說明計劃內容實施方式跟預期效益讓我們可以更具體的瞭解這些支出的必要性跟合理性謝謝好 那個蘇委員 |
transcript.whisperx[406].start |
17204.346 |
transcript.whisperx[406].end |
17217.953 |
transcript.whisperx[406].text |
好 謝謝主席也謝謝署長那我們在這裡其實因為警政署的溝通相當的多所以在會議之前幾乎我看各位委員幾乎都已經改成主決議了那我們為什麼還是要特別發言幾句呢因為其實在這裡強調大家關心的項目 |
transcript.whisperx[407].start |
17221.195 |
transcript.whisperx[407].end |
17244.869 |
transcript.whisperx[407].text |
所以我想我在這邊也就特別在我所有案件當中的16、17特別再強調一次警察的離職率還有這個自殺率的這個部分呢也希望警政署這邊可以依循這個我們在做討論的時候那有什麼改進方式的這個部分留下書面報告大概這是我們主決議的方式那其他我就不再多談謝謝好 謝謝文好 還有沒有委員 |
transcript.whisperx[408].start |
17246.602 |
transcript.whisperx[408].end |
17254.891 |
transcript.whisperx[408].text |
沒有的話說明一下主政委員剛剛學院所提的這個40案是屬於密件我們在密會再來處理那43跟44案對於這個對於這個 |
transcript.whisperx[409].start |
17264.361 |
transcript.whisperx[409].end |
17266.304 |
transcript.whisperx[409].text |
內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算。 |
transcript.whisperx[410].start |
17279.445 |
transcript.whisperx[410].end |
17287.012 |
transcript.whisperx[410].text |
第二、繼續審查114年度中央政府總預算案附屬單位預算基金。三、繼續審查114年度中央政府總預算案附屬單位預算基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金。五、繼續審查114年度中央政府總預算案附屬單位預算基金。 |
transcript.whisperx[411].start |
17303.047 |
transcript.whisperx[411].end |
17307.77 |
transcript.whisperx[411].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業 |
transcript.whisperx[412].start |
17322.824 |
transcript.whisperx[412].end |
17328.85 |
transcript.whisperx[412].text |
二、繼續審查114年度中央政府總預算案附屬單位預算基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算基金.營建基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金.營建基金。 |
transcript.whisperx[413].start |
17348.718 |
transcript.whisperx[413].end |
17363.589 |
transcript.whisperx[413].text |
三、繼續審查114年度中央建設基金。三、繼續審查114年度中央建設基金。三、繼續審查114年度中央建設基金。三、繼續審查114年度中央建設基金。三、繼續審查114年度中央建設基金。三、繼續審查114年度中央建設基金。 |
transcript.whisperx[414].start |
17376.305 |
transcript.whisperx[414].end |
17388.063 |
transcript.whisperx[414].text |
15、18、27、40、42、63 |
transcript.whisperx[415].start |
17391.909 |
transcript.whisperx[415].end |
17398.897 |
transcript.whisperx[415].text |
四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建基金。 |
transcript.whisperx[416].start |
17414.593 |
transcript.whisperx[416].end |
17417.435 |
transcript.whisperx[416].text |
這個分兩年執行114年度為第一年編列金額是5106萬 |
transcript.whisperx[417].start |
17434.347 |
transcript.whisperx[417].end |
17452.882 |
transcript.whisperx[417].text |
包含業務費、設備投資及獎補助費。但是因為這個部分是屬於新興的重大支出,我們必須根據財政紀律法與預算籌編的原則進行嚴格的審查。請警政署可不可以在針對這個部分能夠有書面報告來給我們內政委員會,來瞭解詳細計劃、財源規劃與選擇與替代方案的成本效益分析。 |
transcript.whisperx[418].start |
17468.427 |
transcript.whisperx[418].end |
17486.998 |
transcript.whisperx[418].text |
黃委員謝謝主席本期再次發言就是針對第二幕這個第48案是發案這個部分是針對我們新增強化空襲警報發放及警察機關指揮通訊通訊備援中程計劃這個裡面的預算裡面 |
transcript.whisperx[419].start |
17493.41 |
transcript.whisperx[419].end |
17504.723 |
transcript.whisperx[419].text |
因為這個基金會主要是建設我們整個警政署還有各地方警察局還有這個所屬的這個警察機關這勤務中心的第一個那個援助所嘛是不是 |
transcript.whisperx[420].start |
17506.322 |
transcript.whisperx[420].end |
17528.691 |
transcript.whisperx[420].text |
因為你建置的部分你實際草原作業到今年7月底還有10個縣市的防空疏散避難設施的收容倍數會打1.2倍你這個計劃辦理的目的主要是要強化我們空襲警報的這個設備爭取防空避難的實效然後讓民眾有更多時間來確保來避難然後確保人民的生命安全 |
transcript.whisperx[421].start |
17531.052 |
transcript.whisperx[421].end |
17551.865 |
transcript.whisperx[421].text |
考量到整個都市人口的密集程度跟活動人口變化的幅度,除了直轄市、基中市、新竹市還有嘉義市供需比例不得低於2倍以外,其他縣市供需比例不能低於1.2倍。可以看到這個計劃上有改善的空間,所以這邊本席是提要凍結20%,讓警政署還有所屬機關在一個月內向立法院內政委員提報告。 |
transcript.whisperx[422].start |
17555.447 |
transcript.whisperx[422].end |
17556.968 |
transcript.whisperx[422].text |
三、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[423].start |
17571.9 |
transcript.whisperx[423].end |
17593.14 |
transcript.whisperx[423].text |
也要提升我們警察的通訊還有警報發放的應變的韌性。爭取到最好的時間來防空避難的時效,這樣也可以確保我們民眾安全。確實這個在跟署議院討論過有起必要性。在這一個部分本席這邊也有原本提要凍結20%改做凍結10% |
transcript.whisperx[424].start |
17596.303 |
transcript.whisperx[424].end |
17597.804 |
transcript.whisperx[424].text |
三、繼續審查114年度中央政府總預算案 |
transcript.whisperx[425].start |
17610.489 |
transcript.whisperx[425].end |
17637.554 |
transcript.whisperx[425].text |
好,我想要請教就是有關於徐新委員提出的第54案就是有關於這個114年度警政署及所屬預算案在警政業務下面有編列加強警察效益訓練業務裡面主要就是要配合內政部警政署保二總隊的過邊轉型計畫然後主要就是要做就是關鍵基礎設施的保安警力的這個基礎的訓練費編列了2300 |
transcript.whisperx[426].start |
17642.265 |
transcript.whisperx[426].end |
17663.274 |
transcript.whisperx[426].text |
主要原因就是因為臺灣政府因應中共軍事威脅要加強保護關鍵設施的緣故。我們的劉部長也在今年5月內政委員會報告表定要在114年前就今年要派駐1811的精英、警力、防衛、油、水、電、通訊等民生及產業基礎設施 |
transcript.whisperx[427].start |
17664.955 |
transcript.whisperx[427].end |
17688.043 |
transcript.whisperx[427].text |
可是我們要跟署長部長報告的是因為現在我們基層的警力不足國內最重要的治安問題打炸掃黑氣毒的問題原本都是基層刑警還有警力的重要的工作之一面臨人口短缺的問題那很多而且很多基層警察認為你要要調很多人去幫忙這個保二總隊來去這個 |
transcript.whisperx[428].start |
17691.584 |
transcript.whisperx[428].end |
17715.514 |
transcript.whisperx[428].text |
保護關鍵器物設施本末倒置,以及保1、保4、保5要分發到各縣市資源的人手,也是非常不夠。是不是可以請警政署署長跟署長提出解決方案?徐欣穎委員有希望凍結該預算的50%,請警政署提出相關方案,以及向立法院內政委員會提出專案報告,經同意後,使得凍值。 |
transcript.whisperx[429].start |
17724.29 |
transcript.whisperx[429].end |
17739.505 |
transcript.whisperx[429].text |
主持人、委員張委員所提的這個對於這個保二的警力的一個擴編警力的這個來源當然有一些是從學校畢業的然後有一些地方的一個來做增調那不過增調的部分我們會做地方的警力也會做派補 |
transcript.whisperx[430].start |
17740.446 |
transcript.whisperx[430].end |
17759.302 |
transcript.whisperx[430].text |
今年113年我們已經有增派有1800人的這個警力到這個各縣市的這個警察局去那每年110年我們預計在派補2700人所以這個警力的數的派補我們不會讓地方警力減少這邊跟委員做一個報告那其他的部分對於保 |
transcript.whisperx[431].start |
17760.163 |
transcript.whisperx[431].end |
17765.388 |
transcript.whisperx[431].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金.營建設基金 |
transcript.whisperx[432].start |
17782.924 |
transcript.whisperx[432].end |
17810.042 |
transcript.whisperx[432].text |
好所以我再請教一下就署長您的意思是說113年底已經1811位的都已經派駐到關鍵設施去了不是派駐到各縣市警察局不是關鍵設施地方的警局是派駐到地方的警局有多派駐人手到不是保衛的那這些人就是只是挹注在地方的挹注在地方的警力那他們還沒有派駐到關鍵設施還沒還沒那明年會增加到2700 |
transcript.whisperx[433].start |
17811.583 |
transcript.whisperx[433].end |
17829.177 |
transcript.whisperx[433].text |
這個警力處我們在內會裡面再跟委員有做報告。好,好,好,謝謝,謝謝。好,沒有的話那我們...委員是不是不要凍結?好了,好了,好了,沒有了。不是,對,還有沒有?沒有我們就協商喔。好,協商一下。 |
transcript.whisperx[434].start |
17852.554 |
transcript.whisperx[434].end |
17854.178 |
transcript.whisperx[434].text |
中央政府總預算案附屬單位預算 |
transcript.whisperx[435].start |
18128.163 |
transcript.whisperx[435].end |
18155.385 |
transcript.whisperx[435].text |
那個主席我們是書面要同意後才使得動之謝謝來這個區委員所有的案子並案處理然後整我們扣掉機密的部分整目凍結500萬然後書面報告同意後是可動之好來再來下一幕 |
transcript.whisperx[436].start |
18163.987 |
transcript.whisperx[436].end |
18186.266 |
transcript.whisperx[436].text |
三、繼續審查114年度中央政府總預算案附屬單位預算部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算部分關於內政部主管作業基金.營建設基金 |
transcript.whisperx[437].start |
18190.049 |
transcript.whisperx[437].end |
18211.281 |
transcript.whisperx[437].text |
三、繼續審查114年度中央政府總預算案附屬單位預算基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金.營建基金。五、繼續審查114年度中央政府總預算案附屬單位預算基金.營建基金。六、繼續審查114年度中央政府總預算案附屬單位預算基金.營建基金。七、繼續審查114年度中央政府總預算案附屬單位預算基金.營建基金。八、繼續審查114年度中央政府總預算案附屬單位預算基金.營建基金。 |
transcript.whisperx[438].start |
18218.018 |
transcript.whisperx[438].end |
18219.719 |
transcript.whisperx[438].text |
77、81、83、84、85是我們禮拜三要處理的 |
transcript.whisperx[439].start |
18247.366 |
transcript.whisperx[439].end |
18251.968 |
transcript.whisperx[439].text |
對那79、80改組決議剩78、82、85之一剩三個案剩78跟85之一 |
transcript.whisperx[440].start |
18271.85 |
transcript.whisperx[440].end |
18282.764 |
transcript.whisperx[440].text |
這是關鍵基礎設施呢?這關鍵基礎設施呢?他們可能是排順序排錯對啦應該是編碼編錯啦好不好來說明一下78案 |
transcript.whisperx[441].start |
18289.386 |
transcript.whisperx[441].end |
18306.91 |
transcript.whisperx[441].text |
那78案對於這個﹐有關於那個﹐保安﹐保安的一個﹐誒這個也是關鍵基金設施的呢?也是啊。包委員﹐78是不是也是關鍵設施?78不是啦﹐他只是說我們開業是怎樣﹐結合民意這樣子。 |
transcript.whisperx[442].start |
18320.523 |
transcript.whisperx[442].end |
18322.143 |
transcript.whisperx[442].text |
五、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[443].start |
18343.166 |
transcript.whisperx[443].end |
18359.06 |
transcript.whisperx[443].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[444].start |
18368.865 |
transcript.whisperx[444].end |
18386.282 |
transcript.whisperx[444].text |
好這個是我上上屆我極力要求的才做的為了同仁的安全為了行車的安全所以你們要做好了好那我改組決議來第6幕來我宣告一下 |
transcript.whisperx[445].start |
18391.565 |
transcript.whisperx[445].end |
18392.305 |
transcript.whisperx[445].text |
這全部都是測案來98案、114案、117、118、125、126、127、128、129、130、131、132、133、134測案 |
transcript.whisperx[446].start |
18407.253 |
transcript.whisperx[446].end |
18407.273 |
transcript.whisperx[446].text |
93、94、95、96、97、103、106、110、1213、1215、1212、123、135改組決議 |
transcript.whisperx[447].start |
18423.773 |
transcript.whisperx[447].end |
18436.925 |
transcript.whisperx[447].text |
來 有沒有委員來 老麥委員謝謝主席好像在開坦克車一樣衝衝衝沒有紅燈沒有紅燈沒有紅燈大家都沒有在這個費用變得怎麼樣就怎麼花這樣子 感覺 |
transcript.whisperx[448].start |
18445.973 |
transcript.whisperx[448].end |
18449.857 |
transcript.whisperx[448].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業 |
transcript.whisperx[449].start |
18464.192 |
transcript.whisperx[449].end |
18468.195 |
transcript.whisperx[449].text |
中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業 |
transcript.whisperx[450].start |
18493.257 |
transcript.whisperx[450].end |
18504.94 |
transcript.whisperx[450].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[451].start |
18511.042 |
transcript.whisperx[451].end |
18514.606 |
transcript.whisperx[451].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業 |
transcript.whisperx[452].start |
18533.598 |
transcript.whisperx[452].end |
18559.589 |
transcript.whisperx[452].text |
針對124案這個是網路科技運用經濟計劃的一個部分那這個計劃今年的經費高達50多億那其中竟然有40多億的這個經費是要支付給三大電信業者用於建置網路流量的記錄保存供政府進行打炸使用因為這個部分呢其實我不是針對警政署我最主要是針對三大電信業者因為 |
transcript.whisperx[453].start |
18560.269 |
transcript.whisperx[453].end |
18581.911 |
transcript.whisperx[453].text |
當然我知道根據通保法的規定建置費用要由政府來負擔但這三家電信業者毫無顧忌的開出了40多億的天價然後而且把這個巨額的成本是轉嫁給納稅人那請問一下臺灣的詐騙集團日漸猖獗這些電信業者沒有責任嗎尤其是很多詐騙集團都是跟這些電信業者買廣告 |
transcript.whisperx[454].start |
18583.553 |
transcript.whisperx[454].end |
18585.354 |
transcript.whisperx[454].text |
三、繼續審查114年度中央三、繼續審查114年度中央三、繼續審查114年度中央三、繼續審查114年度中央三、繼續審查114年度中央 |
transcript.whisperx[455].start |
18610.723 |
transcript.whisperx[455].end |
18613.265 |
transcript.whisperx[455].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營建建設基金。 |
transcript.whisperx[456].start |
18640.583 |
transcript.whisperx[456].end |
18643.967 |
transcript.whisperx[456].text |
政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金.營建設基金 |
transcript.whisperx[457].start |
18663.266 |
transcript.whisperx[457].end |
18672.168 |
transcript.whisperx[457].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營建建設基金。 |
transcript.whisperx[458].start |
18694.844 |
transcript.whisperx[458].end |
18720.206 |
transcript.whisperx[458].text |
好謝謝主席那我這邊提的是第107案我們這個低學中委員所提案我有連署其實詐騙真的是現在人民所深惡痛絕尤其詐騙金額屢屢創新高那本席在這一個會期其實有開過公聽會其實我非常肯定這個警政署的做法因為我認為執行單位跟司法單位他們算後勤單位其實行政單位比如說NCC速發部 |
transcript.whisperx[459].start |
18721.047 |
transcript.whisperx[459].end |
18735.936 |
transcript.whisperx[459].text |
或金管會他們還是第一線要去處理要去協助打詐的第一手可是我現在不能接受的是因為我們第一學端委員有提到可是警政署怎麼會在114年在刑事警察業務的部分在編列的這個媒體宣傳費高達2億3491萬 |
transcript.whisperx[460].start |
18742.08 |
transcript.whisperx[460].end |
18750.824 |
transcript.whisperx[460].text |
不是說不能媒體宣傳,可是113年的時候也有該經費的編列,因為內容都是一模一樣,可是只編了1068萬,114年編了2億3千4百萬,真的有這樣的效果嗎? |
transcript.whisperx[461].start |
18764.029 |
transcript.whisperx[461].end |
18778.398 |
transcript.whisperx[461].text |
預算是增加2億2423萬增加了20倍我想要請教這個署長跟部長真的這樣子宣傳費大增20倍就可以這個防止詐騙嗎還是只是把錢又又人民納稅錢又又 |
transcript.whisperx[462].start |
18779.378 |
transcript.whisperx[462].end |
18786.564 |
transcript.whisperx[462].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金. |
transcript.whisperx[463].start |
18809.488 |
transcript.whisperx[463].end |
18809.968 |
transcript.whisperx[463].text |
一、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[464].start |
18833.989 |
transcript.whisperx[464].end |
18855.136 |
transcript.whisperx[464].text |
我認為爭議不小啦第一個它膨脹跟增加的幅度實在太驚人了去年大概是1500萬那你當然有說明嘛說因為大家要積極打詐所以說1500萬很快就用完了但你從1500萬一下變2億4千萬也太誇張了那另外你的用途別的細項裡面第一個你要在網路平台進行大量的廣告投放這個我們那時候在審打詐的法案的時候其實就有討論到啦 |
transcript.whisperx[465].start |
18855.936 |
transcript.whisperx[465].end |
18882.534 |
transcript.whisperx[465].text |
就是你如果真的要處理的話應該是要刻意這些平台業者監管的責任嘛就是你要讓他們源頭去處理這件事情結果這件事情當初就是做不到嘛你沒有辦法約束這些人然後你沒有辦法約束這些人你反過來還要花很多錢在上面然後跟詐騙集團搞軍備競賽我是覺得不太划算這個是我是覺得有容加檢討是必要那另外一部分一億多大概是做所謂的電視節目的設計啊你們打算要做什麼電視節目你們要拍Netflix的劇嗎還是說要拍電影 |
transcript.whisperx[466].start |
18883.214 |
transcript.whisperx[466].end |
18883.855 |
transcript.whisperx[466].text |
大陸電影《孤注一擲》 |
transcript.whisperx[467].start |
18902.091 |
transcript.whisperx[467].end |
18903.453 |
transcript.whisperx[467].text |
二、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[468].start |
18919.733 |
transcript.whisperx[468].end |
18924.496 |
transcript.whisperx[468].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金.營建設基金 |
transcript.whisperx[469].start |
18934.98 |
transcript.whisperx[469].end |
18958.2 |
transcript.whisperx[469].text |
我們政府歷次以來針對打炸的各種影片投放的KPI或是什麼你有沒有辦法跟這支影片來做相比我認為其實落差會非常巨大還是說你警政署有辦法打包票就是說我花這1億多我可以拍出一個跟那個有類似效果的影片或劇如果是這樣那我覺得這個預算我不會反對但是你過去政府在這種媒體拍影片、投放等等的成效其實恐怕大部分的結果是慘不忍睹 |
transcript.whisperx[470].start |
18958.86 |
transcript.whisperx[470].end |
18959.26 |
transcript.whisperx[470].text |
另外一位 |
transcript.whisperx[471].start |
18979.689 |
transcript.whisperx[471].end |
18997.732 |
transcript.whisperx[471].text |
這個第2目的預算下我提議針對媒體宣傳經費提案主要是因為這項經費是要宣傳反詐業務明年度預算相較今年大幅提升2億多元是今年的20倍打詐的經費相信大家都很支持 |
transcript.whisperx[472].start |
18998.473 |
transcript.whisperx[472].end |
19014.252 |
transcript.whisperx[472].text |
例如其他經費有購買設備社長設備只要合理大家都會支持但要防止詐騙媒體宣傳不是最急需經費更何況增加20倍的媒體採購更是不合理所以我提案凍結這項 |
transcript.whisperx[473].start |
19017.078 |
transcript.whisperx[473].end |
19025.985 |
transcript.whisperx[473].text |
這個項目經費5000萬,請內政部向內政委員會提出專案報告,並經同意後,使得動之。 |
transcript.whisperx[474].start |
19033.035 |
transcript.whisperx[474].end |
19036.717 |
transcript.whisperx[474].text |
委員會主席委員會主席委員會主席委員會主席 |
transcript.whisperx[475].start |
19047.884 |
transcript.whisperx[475].end |
19063.593 |
transcript.whisperx[475].text |
在112年3萬7千多件那今年又增加了8千多件那尤其就是投資詐欺的案件增加了5千多件所以本期在這邊就90案凍結了500萬那 |
transcript.whisperx[476].start |
19069.877 |
transcript.whisperx[476].end |
19095.512 |
transcript.whisperx[476].text |
120案凍結300萬最主要是我們要如何來打詐將這個案件把它降低那本席所提出的那提出素面資料本席同意動之,謝謝主席,在這九十一案的這個網路科技運用的 |
transcript.whisperx[477].start |
19097.557 |
transcript.whisperx[477].end |
19123.519 |
transcript.whisperx[477].text |
第二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、移民署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、移民署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、移民署部分。六、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、移民署部分 |
transcript.whisperx[478].start |
19124.522 |
transcript.whisperx[478].end |
19142.222 |
transcript.whisperx[478].text |
因為都沒有定期去追蹤醫療防詐騙的系統平台後續要如何辦理要如何處理的情形我認為都沒有特地去了解在18日之後,對我們的檢察單位 |
transcript.whisperx[479].start |
19145.877 |
transcript.whisperx[479].end |
19155.747 |
transcript.whisperx[479].text |
我就去配合警政署提供詐騙的體管的熱點進行申請,因為說實在,他們每天的申請已經很辛苦了,應該是不是要怎麼來處理? |
transcript.whisperx[480].start |
19164.565 |
transcript.whisperx[480].end |
19191.127 |
transcript.whisperx[480].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營 |
transcript.whisperx[481].start |
19194.149 |
transcript.whisperx[481].end |
19212.835 |
transcript.whisperx[481].text |
這個成效要出來,以上。阿賴立委員。署長還有局長,我為難你們一下啦。我要問一個你們答不出來的問題。大家都在關心打詐,大家都在關心反詐。 |
transcript.whisperx[482].start |
19215.072 |
transcript.whisperx[482].end |
19228.101 |
transcript.whisperx[482].text |
現在編列出來的打詐或者是宣導詐騙的這個宣傳的費用是兩億多,你有辦法跟我說詐騙集團它的廣告費用是多少嗎? |
transcript.whisperx[483].start |
19230.021 |
transcript.whisperx[483].end |
19231.943 |
transcript.whisperx[483].text |
二、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[484].start |
19248.376 |
transcript.whisperx[484].end |
19268.008 |
transcript.whisperx[484].text |
那摸高好幾丈你這個少少的這些經費裡面怎麼樣去說服我們委員會說你們用極少的經費還是要想辦法讓全國的民眾知道這一些這類型的行為可能是詐騙這個是你們要說服我們來讓同意這一筆預算的謝謝還有沒有話要說明一下 |
transcript.whisperx[485].start |
19274.426 |
transcript.whisperx[485].end |
19289.861 |
transcript.whisperx[485].text |
主持人、各位委員,我想各位最關心的目前就是對於打仗裡面的一個宣傳。我們做了一個民調,我沒有做民調,就是打仗的過程當中哪一樣最重要?其實民眾 |
transcript.whisperx[486].start |
19290.942 |
transcript.whisperx[486].end |
19299.728 |
transcript.whisperx[486].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金. |
transcript.whisperx[487].start |
19310.635 |
transcript.whisperx[487].end |
19317.497 |
transcript.whisperx[487].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。 |
transcript.whisperx[488].start |
19338.114 |
transcript.whisperx[488].end |
19344.395 |
transcript.whisperx[488].text |
政府總預算案附屬單位預算基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金.營建基金。五、繼續審查114年度中央政府總預算案附屬單位預算基金.營建基金。六、繼續審查114年度中央政府總預算案附屬單位預算基金.營建基金。 |
transcript.whisperx[489].start |
19367.92 |
transcript.whisperx[489].end |
19378.751 |
transcript.whisperx[489].text |
第二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。 |
transcript.whisperx[490].start |
19390.482 |
transcript.whisperx[490].end |
19410.143 |
transcript.whisperx[490].text |
每週裡面大概可以看到30秒鐘的這個這個這個投放的一個我們反照片的一個狀況那剛剛張文有提到說還有那個劉偉有都提到就是這些的內容要怎麼來做一個呈現嗎也就是說這個拍了這個品質要怎麼來呈現我覺得這個未來是我們努力的標這個是最重要的 |
transcript.whisperx[491].start |
19410.503 |
transcript.whisperx[491].end |
19419.714 |
transcript.whisperx[491].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[492].start |
19426.301 |
transcript.whisperx[492].end |
19449.118 |
transcript.whisperx[492].text |
這一些的詐欺的一個訊息這個第一點就有關這個有關這個行銷的這個部分那部委員特別提到對於這個包括這個吳衛所提的就是現在詐欺裡面的部分現在最多大概是投資詐騙大概佔百分之六成以上他詐騙的賤數跟金額都居多那這個部分大概就是在投放的源頭的一個狀況 |
transcript.whisperx[493].start |
19450.698 |
transcript.whisperx[493].end |
19467.572 |
transcript.whisperx[493].text |
另外就是網友所提的就是這個網路的一個一個詐欺這個部分我們剛剛也有提到就是就是宣導的部分要讓讓大家知道就是在電視跟網路能夠比較直接來讓人們對於這個這個詐騙的訊息的一個宣導 |
transcript.whisperx[494].start |
19471.599 |
transcript.whisperx[494].end |
19479.328 |
transcript.whisperx[494].text |
總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業 |
transcript.whisperx[495].start |
19488.74 |
transcript.whisperx[495].end |
19492.844 |
transcript.whisperx[495].text |
第二、繼續審查114年度中央政府總預算案附屬單位預算。三、繼續審查114年度中央政府總預算案附屬單位預算。四、繼續審查114年度中央政府總預算案附屬單位預算。 |
transcript.whisperx[496].start |
19509.921 |
transcript.whisperx[496].end |
19528.047 |
transcript.whisperx[496].text |
114年度的詐欺的2.0的總預算只有9.1億那含那個含那個網路流量那個徐遠所提的網路流量大概總共才只有70幾億那網路流量的部分我們會遵照委員的這個這個建議來做一個辦理做以上的補充來 蔓偉遠 |
transcript.whisperx[497].start |
19534.311 |
transcript.whisperx[497].end |
19550.002 |
transcript.whisperx[497].text |
謝謝主席謝謝署長我們希望的是有效不是數據數據是冷冰冰的有效的是說別人你說詐騙集團花2億達到一天人民被騙5億 |
transcript.whisperx[498].start |
19551.423 |
transcript.whisperx[498].end |
19552.584 |
transcript.whisperx[498].text |
三、繼續審查114年度中央三、繼續審查114年度中央三、繼續審查114年度中央三、繼續審查114年度中央 |
transcript.whisperx[499].start |
19579.847 |
transcript.whisperx[499].end |
19580.227 |
transcript.whisperx[499].text |
二、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[500].start |
19603.729 |
transcript.whisperx[500].end |
19605.61 |
transcript.whisperx[500].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[501].start |
19626.924 |
transcript.whisperx[501].end |
19630.306 |
transcript.whisperx[501].text |
三大電信業者希望你們要去溝通那目前不曉得溝通的狀況怎麼樣 |
transcript.whisperx[502].start |
19657.899 |
transcript.whisperx[502].end |
19680.631 |
transcript.whisperx[502].text |
你先回答那這個部分就是說這個三大業者提出來的這個前端的這個設置的這個費用目前我們仍然還在溝通我們其實溝通不是只有我們溝通我們行政院的層級也會去做溝通就是說對於這些費用是不是能夠在在有這些評估的空間能夠在做這樣的一個空間 |
transcript.whisperx[503].start |
19681.511 |
transcript.whisperx[503].end |
19710.867 |
transcript.whisperx[503].text |
因為我想一般民眾大家也都沒辦法接受就是說這三大電線人去年其實他們已經賺了五千多億所以現在真的要他們善盡社會責任然後來針對這個部分對提出他們的這個應該是要對詐騙集團的防詐的業務對政府提供一些協助的時候然後他們又用這麼高的金額兩年加起來已經大概可能要九十幾億九十幾億的經費來建置這樣的設備我覺得這個太不合理了 |
transcript.whisperx[504].start |
19711.507 |
transcript.whisperx[504].end |
19728.502 |
transcript.whisperx[504].text |
對,這個部分我們會再加強來做一個溝通。來,李委員。好,那這樣,還有沒有?還有沒有委員?沒有,那我們協商。 |
transcript.whisperx[505].start |
19739.684 |
transcript.whisperx[505].end |
19762.466 |
transcript.whisperx[505].text |
第二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[506].start |
19765.094 |
transcript.whisperx[506].end |
19783.003 |
transcript.whisperx[506].text |
第二、繼續審查114年度中央政府總預算案附屬單位預算基金。三、繼續審查114年度中央政府總預算案附屬單位預算基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金。五、繼續審查114年度中央政府總預算案附屬單位預算基金。六、繼續審查114年度中央政府總預算案附屬單位預算基金。 |
transcript.whisperx[507].start |
19786.946 |
transcript.whisperx[507].end |
19805.672 |
transcript.whisperx[507].text |
政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[508].start |
19813.979 |
transcript.whisperx[508].end |
19826.306 |
transcript.whisperx[508].text |
第二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[509].start |
19842.722 |
transcript.whisperx[509].end |
19857.258 |
transcript.whisperx[509].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[510].start |
19863.275 |
transcript.whisperx[510].end |
19888.124 |
transcript.whisperx[510].text |
中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署部分。六、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署部分。 |
transcript.whisperx[511].start |
19893.336 |
transcript.whisperx[511].end |
19901.768 |
transcript.whisperx[511].text |
中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[512].start |
19903.426 |
transcript.whisperx[512].end |
19923.136 |
transcript.whisperx[512].text |
第二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[513].start |
19926.118 |
transcript.whisperx[513].end |
19938.08 |
transcript.whisperx[513].text |
中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[514].start |
19940.246 |
transcript.whisperx[514].end |
19955.291 |
transcript.whisperx[514].text |
總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[515].start |
19956.451 |
transcript.whisperx[515].end |
19973.611 |
transcript.whisperx[515].text |
總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[516].start |
19979.683 |
transcript.whisperx[516].end |
20008.262 |
transcript.whisperx[516].text |
第二、繼續審查114年度中央政府總預算案附屬單位預算。三、繼續審查114年度中央政府總預算案附屬單位預算。四、繼續審查114年度中央政府總預算案附屬單位預算。五、繼續審查114年度中央政府總預算案附屬單位預算。六、繼續審查114年度中央政府總預算案附屬單位預算。七、繼續審查114年度中央政府總預算案附屬單位預算。 |
transcript.whisperx[517].start |
20009.343 |
transcript.whisperx[517].end |
20025.521 |
transcript.whisperx[517].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[518].start |
20043.234 |
transcript.whisperx[518].end |
20058.27 |
transcript.whisperx[518].text |
總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[519].start |
20059.571 |
transcript.whisperx[519].end |
20087.307 |
transcript.whisperx[519].text |
總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分 |
transcript.whisperx[520].start |
20089.673 |
transcript.whisperx[520].end |
20114.661 |
transcript.whisperx[520].text |
中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。六、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[521].start |
20116.728 |
transcript.whisperx[521].end |
20144.298 |
transcript.whisperx[521].text |
第二、繼續審查114年度中央政府總預算案附屬單位預算。三、繼續審查114年度中央政府總預算案附屬單位預算。四、繼續審查114年度中央政府總預算案附屬單位預算。五、繼續審查114年度中央政府總預算案附屬單位預算。六、繼續審查114年度中央政府總預算案附屬單位預算。七、繼續審查114年度中央政府總預算案附屬單位預算。八、繼續審查114年度中央政府總預算案附屬單位預算。 |
transcript.whisperx[522].start |
20145.878 |
transcript.whisperx[522].end |
20161.397 |
transcript.whisperx[522].text |
第二、繼續審查114年度中央政府總預算案附屬單位預算。三、繼續審查114年度中央政府總預算案附屬單位預算。四、繼續審查114年度中央政府總預算案附屬單位預算。 |
transcript.whisperx[523].start |
20163.559 |
transcript.whisperx[523].end |
20190.232 |
transcript.whisperx[523].text |
中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。六、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[524].start |
20191.612 |
transcript.whisperx[524].end |
20216.607 |
transcript.whisperx[524].text |
第二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。六、繼續審查114年度中央政府總預算案附屬單位預算。 |
transcript.whisperx[525].start |
20217.887 |
transcript.whisperx[525].end |
20235.838 |
transcript.whisperx[525].text |
第二、繼續審查114年度中央政府總預算案附屬單位預算。三、繼續審查114年度中央政府總預算案附屬單位預算。四、繼續審查114年度中央政府總預算案附屬單位預算。五、繼續審查114年度中央政府總預算案附屬單位預算。六、繼續審查114年度中央政府總預算案附屬單位預算。 |
transcript.whisperx[526].start |
20236.758 |
transcript.whisperx[526].end |
20252.499 |
transcript.whisperx[526].text |
第二、繼續審查114年度中央政府總預算案附屬單位預算。三、繼續審查114年度中央政府總預算案附屬單位預算。四、繼續審查114年度中央政府總預算案附屬單位預算。五、繼續審查114年度中央政府總預算案附屬單位預算。 |
transcript.whisperx[527].start |
20254.497 |
transcript.whisperx[527].end |
20282.092 |
transcript.whisperx[527].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[528].start |
20284.263 |
transcript.whisperx[528].end |
20307.318 |
transcript.whisperx[528].text |
政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。六、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[529].start |
20307.878 |
transcript.whisperx[529].end |
20331.035 |
transcript.whisperx[529].text |
第二、繼續審查114年度中央政府總預算案附屬單位預算。三、繼續審查114年度中央政府總預算案附屬單位預算。四、繼續審查114年度中央政府總預算案附屬單位預算。五、繼續審查114年度中央政府總預算案附屬單位預算。六、繼續審查114年度中央政府總預算案附屬單位預算。七、繼續審查114年度中央政府總預算案附屬單位預算。八、繼續審查114年度中央政府總預算案附屬單位預算。八、繼續審查114年度中央政府總預算案附屬單位預算。 |
transcript.whisperx[530].start |
20339.78 |
transcript.whisperx[530].end |
20361.489 |
transcript.whisperx[530].text |
第二、繼續審查114年度中央政府總預算案附屬單位預算。三、繼續審查114年度中央政府總預算案附屬單位預算。四、繼續審查114年度中央政府總預算案附屬單位預算。五、繼續審查114年度中央政府總預算案附屬單位預算。六、繼續審查114年度中央政府總預算案附屬單位預算。 |
transcript.whisperx[531].start |
20363.631 |
transcript.whisperx[531].end |
20378.442 |
transcript.whisperx[531].text |
二、繼續審查114年度中央政府總預算案附屬單位預算基金。三、繼續審查114年度中央政府總預算案附屬單位預算基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金。五、繼續審查114年度中央政府總預算案附屬單位預算基金。六、繼續審查114年度中央政府總預算案附屬單位預算基金。 |
transcript.whisperx[532].start |
20379.182 |
transcript.whisperx[532].end |
20403.367 |
transcript.whisperx[532].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[533].start |
20405.628 |
transcript.whisperx[533].end |
20428.741 |
transcript.whisperx[533].text |
第二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。六、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[534].start |
20429.562 |
transcript.whisperx[534].end |
20437.699 |
transcript.whisperx[534].text |
中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[535].start |
20442.964 |
transcript.whisperx[535].end |
20464.251 |
transcript.whisperx[535].text |
第二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[536].start |
20464.531 |
transcript.whisperx[536].end |
20483.569 |
transcript.whisperx[536].text |
中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。六、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[537].start |
20487.371 |
transcript.whisperx[537].end |
20491.794 |
transcript.whisperx[537].text |
第6目整目凍結一千萬所有委員案子並案處理經書面報告同意後可動之第105案 |
transcript.whisperx[538].start |
20513.703 |
transcript.whisperx[538].end |
20519.028 |
transcript.whisperx[538].text |
跟107、108、109案這幾個案我們就是特別處理我們凍結2億然後送協商凍結2億啊對啊凍結2億嘛對啊 |
transcript.whisperx[539].start |
20552.475 |
transcript.whisperx[539].end |
20563.338 |
transcript.whisperx[539].text |
好了就這樣啦可以啦齁可以啦技術上可行啦技術上可行啦好技術上可以好OK我們就這樣好不好好謝謝那我們再來 |
transcript.whisperx[540].start |
20564.875 |
transcript.whisperx[540].end |
20566.456 |
transcript.whisperx[540].text |
第7目137、138、139、140改組決議136 |
transcript.whisperx[541].start |
20581.916 |
transcript.whisperx[541].end |
20598.081 |
transcript.whisperx[541].text |
來,說明一下,包括對於警專的這個冷氣的一個裝飾,目前警專的一個宿舍的英才樓跟三民樓都已經發包開工,預計在明年的114年的3月會完工。這以上的報告。好,那我改組決議。來,第8幕。 |
transcript.whisperx[542].start |
20602.857 |
transcript.whisperx[542].end |
20608.682 |
transcript.whisperx[542].text |
來第八目我跟你講我先告一下142、147齁這我們就是禮拜三處理齁然後141、144、145改組決議剩143、146143就牛委員啦喔你改組決議齁好 |
transcript.whisperx[543].start |
20634.414 |
transcript.whisperx[543].end |
20657.985 |
transcript.whisperx[543].text |
二、繼續審查114年度中央政府總預算案附屬單位預算基金。三、繼續審查114年度中央政府總預算案附屬單位預算基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金。五、繼續審查114年度中央政府總預算案附屬單位預算基金。六、繼續審查114年度中央政府總預算案附屬單位預算基金。七、繼續審查114年度中央政府總預算案附屬單位預算基金。八、繼續審查114年度中央政府總預算案附屬單位預算基金。 |
transcript.whisperx[544].start |
20659.79 |
transcript.whisperx[544].end |
20664.219 |
transcript.whisperx[544].text |
所以警政署他們有沒有基金?沒有齁?好什麼東西? |
transcript.whisperx[545].start |
20673.899 |
transcript.whisperx[545].end |
20678.042 |
transcript.whisperx[545].text |
警政署就這樣子我們剛剛說在業務裡面處理我們就不再處理了我們現在消防署 |
transcript.whisperx[546].start |
20723.312 |
transcript.whisperx[546].end |
20728.056 |
transcript.whisperx[546].text |
好 我們休息五分鐘 |
transcript.whisperx[547].start |
20737.5 |
transcript.whisperx[547].end |
20761.369 |
transcript.whisperx[547].text |
政府總預算案附屬單位預算非營業部分關於內政部主管作業基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金。 |
transcript.whisperx[548].start |
20762.449 |
transcript.whisperx[548].end |
20777.704 |
transcript.whisperx[548].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[549].start |
20780.346 |
transcript.whisperx[549].end |
20802.024 |
transcript.whisperx[549].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[550].start |
20804.546 |
transcript.whisperx[550].end |
20815.851 |
transcript.whisperx[550].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[551].start |
20832.941 |
transcript.whisperx[551].end |
20839.49 |
transcript.whisperx[551].text |
中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[552].start |
20846.929 |
transcript.whisperx[552].end |
20871.45 |
transcript.whisperx[552].text |
中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分關於內政部國土管理署部分關於內政部國土管理署部分關於內政部國土管理署部分關於內政部國土管理署部分關於內政部國土管理署部分關於內政部國土管理署部分關於內政部國土管理署部分關於內政部國土管理署部分關於內政部國土管理署部分關於內政部國土管理署部分關於內政部國土管 |
transcript.whisperx[553].start |
20874.165 |
transcript.whisperx[553].end |
20877.586 |
transcript.whisperx[553].text |
二、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[554].start |
20892.083 |
transcript.whisperx[554].end |
20919.179 |
transcript.whisperx[554].text |
第二、繼續審查114年度中央政府總預算案附屬單位預算。三、繼續審查114年度中央政府總預算案附屬單位預算。四、繼續審查114年度中央政府總預算案附屬單位預算。五、繼續審查114年度中央政府總預算案附屬單位預算。六、繼續審查114年度中央政府總預算案附屬單位預算。七、繼續審查114年度中央政府總預算案附屬單位預算。八、繼續審查114年度中央政府總預算案附屬單位預算。 |
transcript.whisperx[555].start |
20920.52 |
transcript.whisperx[555].end |
20938.37 |
transcript.whisperx[555].text |
一、繼續審查114年度中央政府總預算案附屬單位預算。二、繼續審查114年度中央政府總預算案附屬單位預算。 |
transcript.whisperx[556].start |
20944.77 |
transcript.whisperx[556].end |
20971.257 |
transcript.whisperx[556].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、警政署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署部分。二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署部分。二、繼續 |
transcript.whisperx[557].start |
20973.703 |
transcript.whisperx[557].end |
21002.928 |
transcript.whisperx[557].text |
政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、移民署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、移民署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、移民署部分。六、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、移民署部分。 |
transcript.whisperx[558].start |
21003.712 |
transcript.whisperx[558].end |
21030.602 |
transcript.whisperx[558].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。六、繼續 |
transcript.whisperx[559].start |
21036.681 |
transcript.whisperx[559].end |
21057.588 |
transcript.whisperx[559].text |
政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[560].start |
21068.88 |
transcript.whisperx[560].end |
21083.231 |
transcript.whisperx[560].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、移民署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、移民署部分。 |
transcript.whisperx[561].start |
21084.972 |
transcript.whisperx[561].end |
21106.586 |
transcript.whisperx[561].text |
第二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、移民署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、移民署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、移民署部分。 |
transcript.whisperx[562].start |
21108.217 |
transcript.whisperx[562].end |
21119.171 |
transcript.whisperx[562].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[563].start |
21123.268 |
transcript.whisperx[563].end |
21137.103 |
transcript.whisperx[563].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[564].start |
21140.15 |
transcript.whisperx[564].end |
21161.32 |
transcript.whisperx[564].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[565].start |
21168.115 |
transcript.whisperx[565].end |
21189.968 |
transcript.whisperx[565].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[566].start |
21191.409 |
transcript.whisperx[566].end |
21214.92 |
transcript.whisperx[566].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[567].start |
21215.52 |
transcript.whisperx[567].end |
21243.063 |
transcript.whisperx[567].text |
第二、繼續審查114年度中央政府總預算案附屬單位預算基金。三、繼續審查114年度中央政府總預算案附屬單位預算基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金。五、繼續審查114年度中央政府總預算案附屬單位預算基金。六、繼續審查114年度中央政府總預算案附屬單位預算基金。七、繼續審查114年度中央政府總預算案附屬單位預算基金。 |
transcript.whisperx[568].start |
21248.706 |
transcript.whisperx[568].end |
21271.201 |
transcript.whisperx[568].text |
我們開始開會消防稅數部分沒有提案我們直接進入第一幕第三案、第九案、測案然後16、80、11改組決議我們剩下2、4、5、7、11之一各位委員有沒有意見 |
transcript.whisperx[569].start |
21281.584 |
transcript.whisperx[569].end |
21282.124 |
transcript.whisperx[569].text |
來,各位有沒有意見? |
transcript.whisperx[570].start |
21317.767 |
transcript.whisperx[570].end |
21328.494 |
transcript.whisperx[570].text |
沒有人要講沒有意見喔不是啦有沒有人要講啊我會議要進行啊 |
transcript.whisperx[571].start |
21334.083 |
transcript.whisperx[571].end |
21336.566 |
transcript.whisperx[571].text |
五、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[572].start |
21349.799 |
transcript.whisperx[572].end |
21372.354 |
transcript.whisperx[572].text |
消防署及所屬預算案第一幕一般行政基本行政工作維持的業務費今年編列4062萬有一個新聞是113年11月13號桃園市消防局第四大隊龍潭義消分隊有一位40歲的范姓義消小隊長他在平政執勤的時候有遇到這個蜜蜂把他折 |
transcript.whisperx[573].start |
21373.695 |
transcript.whisperx[573].end |
21382.884 |
transcript.whisperx[573].text |
第1屆第2會期內政委員會第1屆第2會期內政委員會第1屆第2會期內政委員會第1屆第2會期內政委員會第1屆第2會期內政委員會第1屆第2會期內政委員會第1屆第2會期內政委員會第1屆第2會期內政委員會 |
transcript.whisperx[574].start |
21389.731 |
transcript.whisperx[574].end |
21403.278 |
transcript.whisperx[574].text |
7年已經過去而還是有發生異消偶惑警消因為捕蜂來殉職所以請消防署會同農業部針對這種捕蜂捉蛇的業務職責的歸屬人員訓練跟設備器材應該提出檢討所以徐新英委員我是連署的我們有提議是不是凍結預算 |
transcript.whisperx[575].start |
21412.242 |
transcript.whisperx[575].end |
21433.408 |
transcript.whisperx[575].text |
50%因為每一個消防或疫消的訊值對我們來講都是沉痛非常沉痛的就請消防署提出相應的業務的提出檢討改善方案而且要公布在官方網站及臉書後以及對內政委員會提出專案報告後同意使得動之以上 |
transcript.whisperx[576].start |
21436.276 |
transcript.whisperx[576].end |
21456.18 |
transcript.whisperx[576].text |
來 漢邦委員來 徐委員我想本席3、4、5那3好像已經撤案那4跟5的話第4個反正上面也有說明剛剛張委員也講了我特別補充第5點第5點我想消防署應該很清楚就是說對於這個是這個案 |
transcript.whisperx[577].start |
21464.775 |
transcript.whisperx[577].end |
21465.475 |
transcript.whisperx[577].text |
韓某委員沒有了說明一下 |
transcript.whisperx[578].start |
21484.539 |
transcript.whisperx[578].end |
21500.486 |
transcript.whisperx[578].text |
感謝委員吹詢。捕風捉蛇事實上現在都由農業單位在招標。桃園這個事件是農業局招標給民眾,逸銷去承接。那我們也跟桃園縣還是,如果現在既然已經編預算還是回歸到 |
transcript.whisperx[579].start |
21502.227 |
transcript.whisperx[579].end |
21508.113 |
transcript.whisperx[579].text |
中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。 |
transcript.whisperx[580].start |
21524.595 |
transcript.whisperx[580].end |
21526.598 |
transcript.whisperx[580].text |
二、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[581].start |
21543.055 |
transcript.whisperx[581].end |
21569.021 |
transcript.whisperx[581].text |
就是特別是第4案第4案我想署長很清楚就是在消防機關隊員定期請調作業規定中有特別規定就是說在消防人員裡面有子女重大傷亡重大傷病身心障礙還有子女就讀特殊學校需就近照顧者或者是夫妻離異或配偶 |
transcript.whisperx[582].start |
21570.182 |
transcript.whisperx[582].end |
21593.336 |
transcript.whisperx[582].text |
配偶亡故需照顧國中學齡以下子女,欲有三個以上國中學齡以下子女需就近照顧等情勢。就說在你們的消防人員裡面有這些情況的可以優先請掉戶籍所在地的規定但是好像漏掉了,漏掉了如果是 |
transcript.whisperx[583].start |
21594.463 |
transcript.whisperx[583].end |
21607.426 |
transcript.whisperx[583].text |
總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。六、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金� |
transcript.whisperx[584].start |
21623.37 |
transcript.whisperx[584].end |
21623.51 |
transcript.whisperx[584].text |
阿賴章偉 |
transcript.whisperx[585].start |
21649.178 |
transcript.whisperx[585].end |
21665.109 |
transcript.whisperx[585].text |
好那我不好意思謝謝主席那我提出第7案跟第9案那第7案就是水電費的部分水電費的部分有這個111年到113年的時候都只兼列這個大概 |
transcript.whisperx[586].start |
21667.07 |
transcript.whisperx[586].end |
21691.288 |
transcript.whisperx[586].text |
7百多萬114年增加到900多萬增加幅度高達15%稍微說明一下就好我們比較想要討論的是第9案第9案就是說一般行政費用的部分在112年一般行政有一些基本行政費用比如說一般公務的運刷、環境佈置、清潔、健康檢查跟新聞聯絡等雜項支出 |
transcript.whisperx[587].start |
21693.529 |
transcript.whisperx[587].end |
21700.351 |
transcript.whisperx[587].text |
在112年跟113年的時候都只有別1300多萬左右可是為什麼114年要增加50%的預算增加到2013萬我們覺得這個是有一點增加幅度過大所以我們提出應該凍結該預算20萬請一個月內提出書面報告後經同意時的動之以上 |
transcript.whisperx[588].start |
21722.733 |
transcript.whisperx[588].end |
21730.056 |
transcript.whisperx[588].text |
五、繼續審查114年度中央政府總預算案附屬單位預算。六、繼續審查114年度中央政府總預算案附屬單位預算。七、繼續審查114年度中央政府總預算案附屬單位預算。 |
transcript.whisperx[589].start |
21744.062 |
transcript.whisperx[589].end |
21756.374 |
transcript.whisperx[589].text |
內政部國土管理署及所屬、警政署及所屬.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬.營建建設基金。四、繼續審查114年度中央政府總預算案附屬.營建設基金。 |
transcript.whisperx[590].start |
21765.542 |
transcript.whisperx[590].end |
21771.043 |
transcript.whisperx[590].text |
111年水電費3.16元112年3.99元113年4.56元總經費111年227萬112年202萬今年208萬即便我們遇到冬天有四個颱風但還是在目前這個狀況預期明年的水電費還是會再提升 |
transcript.whisperx[591].start |
21793.228 |
transcript.whisperx[591].end |
21819.457 |
transcript.whisperx[591].text |
目前我們今年的額度我們已經不夠了就目前編列額度是不夠所以我們把需求狀況跟委員做一個報告跟處理跟回報那至於整個業務費這個部分會增加事實上就是配合整個政策我們在司機公有退休以後我們就沒有再臨用我們用月評估的方式來做這方面的執行那另外另外就是還有還有一個 |
transcript.whisperx[592].start |
21820.87 |
transcript.whisperx[592].end |
21831.469 |
transcript.whisperx[592].text |
還有我們正在新建的規劃當中的滑光特新的聽色的建築這個規劃費用那這個部分是我們在這方面規劃裡面所需要的費用。謝謝 |
transcript.whisperx[593].start |
21835.406 |
transcript.whisperx[593].end |
21860.388 |
transcript.whisperx[593].text |
不好意思請你再解釋一下我聽不太清楚第一個您說什麼人員增加因為我們人員駕駛退休以後駕駛退休以後我們就沒辦法再補人所以用聘僱的方式來擔任我們的司機的一個任務駕駛退休原本的駕駛不就在這個應班行政的費用為什麼會增加是有多聘駕駛駛的人事費用我們就不編的就是用約聘僱的方式來處理這個區塊 |
transcript.whisperx[594].start |
21862.329 |
transcript.whisperx[594].end |
21866.11 |
transcript.whisperx[594].text |
二、繼續審查114年度中央政府總預算案附屬單位預算基金。三、繼續審查114年度中央政府總預算案附屬單位預算基金。二、繼續審查114年度中央政府總預算案附屬單位預算基金。 |
transcript.whisperx[595].start |
21892.638 |
transcript.whisperx[595].end |
21898.6 |
transcript.whisperx[595].text |
是,好,好,謝謝。來,還有沒有委員?那沒有我們協商。 |
transcript.whisperx[596].start |
21926.561 |
transcript.whisperx[596].end |
21955.498 |
transcript.whisperx[596].text |
中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。六、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[597].start |
21959.633 |
transcript.whisperx[597].end |
21979.896 |
transcript.whisperx[597].text |
中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[598].start |
22000.333 |
transcript.whisperx[598].end |
22020.616 |
transcript.whisperx[598].text |
中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分 |
transcript.whisperx[599].start |
22022.108 |
transcript.whisperx[599].end |
22049.542 |
transcript.whisperx[599].text |
中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。六、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[600].start |
22057.5 |
transcript.whisperx[600].end |
22086.136 |
transcript.whisperx[600].text |
中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。六、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[601].start |
22091.015 |
transcript.whisperx[601].end |
22119.201 |
transcript.whisperx[601].text |
中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分 |
transcript.whisperx[602].start |
22122.21 |
transcript.whisperx[602].end |
22149.945 |
transcript.whisperx[602].text |
政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分關於內政部國土管理署及所屬、消防署部分 |
transcript.whisperx[603].start |
22152.398 |
transcript.whisperx[603].end |
22165.81 |
transcript.whisperx[603].text |
中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[604].start |
22168.438 |
transcript.whisperx[604].end |
22187.771 |
transcript.whisperx[604].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[605].start |
22190.52 |
transcript.whisperx[605].end |
22215.445 |
transcript.whisperx[605].text |
第二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。六、繼續 |
transcript.whisperx[606].start |
22216.802 |
transcript.whisperx[606].end |
22236.834 |
transcript.whisperx[606].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署及所屬、消防署部分。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、消防署部分。 |
transcript.whisperx[607].start |
22243.22 |
transcript.whisperx[607].end |
22254.087 |
transcript.whisperx[607].text |
好,我們第一幕整幕凍結兩百萬所有人案子並案處理,然後經書面報告同意後四個通知。好,來再來第二幕。 |
transcript.whisperx[608].start |
22257.359 |
transcript.whisperx[608].end |
22259.58 |
transcript.whisperx[608].text |
12案不處理3、2、3、5、3、7、5、8、測案13、14、15、18、20、24、26、27、28、29、33、34、38、41、42、43、44、45、46、47 |
transcript.whisperx[609].start |
22288.033 |
transcript.whisperx[609].end |
22305.263 |
transcript.whisperx[609].text |
4849、50、52、53、55、56、57、60、63、64、65、66、67、68改組決議。但其他還是有很多案我就不一一說了。來,各位委員有沒有什麼意見?好,你有沒有人?謝謝主席喔 |
transcript.whisperx[610].start |
22307.28 |
transcript.whisperx[610].end |
22333.55 |
transcript.whisperx[610].text |
這個首先是第21案雖然是相關的一些法令研討不過我要藉這個機會跟消防署請教一下這個我國消防的人事制度一直都是所謂的雙軌制那雙軌制其實這個當然又好又壞當然可能更一地制宜一些但同時當然從中央的指揮調度的角度來講也造成一些若干的困擾那麼我希望這件事情可以有一個更合理的討論希望消防署針對人事制度改進提一些相關的一些辦法 |
transcript.whisperx[611].start |
22334.55 |
transcript.whisperx[611].end |
22337.952 |
transcript.whisperx[611].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金.營建設基金 |
transcript.whisperx[612].start |
22352.419 |
transcript.whisperx[612].end |
22369.534 |
transcript.whisperx[612].text |
我們也跟考學院在討論就是怎麼讓權力保障優先擺在前面不能因為制度的改變然後影響到他的收入保障福利這方面的區塊那目前我們會用警消的制度大概警消分立的時候考學院特別建議這個作業 |
transcript.whisperx[613].start |
22370.695 |
transcript.whisperx[613].end |
22392.063 |
transcript.whisperx[613].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分關於內政部國土管 |
transcript.whisperx[614].start |
22401.121 |
transcript.whisperx[614].end |
22402.984 |
transcript.whisperx[614].text |
這個影響層面蠻大的影響層面蠻大的跟委員回報這個 |
transcript.whisperx[615].start |
22406.676 |
transcript.whisperx[615].end |
22435.601 |
transcript.whisperx[615].text |
這個我們待會商量一下看怎麼處理但我希望可以看到說這個部裡面也好或者是消防署裡面對於這樣的人事制度的一些改變有一些比較積極的一些主張或者是想法好不好這部分我們待會協商的時候我們來做一下討論第二十二案媒體宣導費的部分這比起剛剛的警察你們這個額度屬於非常合理但是這個本席還是要特別講一下比如說我們這個前一段時間我們才剛剛修正通過消防法請問你們的媒體宣導裡面有沒有包含一些新法上路一些規則的差異的一些說明這部分是不是請署長現在先回答一下 |
transcript.whisperx[616].start |
22436.141 |
transcript.whisperx[616].end |
22462.923 |
transcript.whisperx[616].text |
是 感謝委員新法修正以後我們特別透過我們的宣導會議到工業區這方面配合主管部會來做這個宣導那這個經費是針對委員會這邊上個委員有特別提到訓練中心的招生的一個招生的需求因為我們現在在接下來年度特考班我們1000位那正期班會有400位所以我們特別針對招生的區塊來做這方面的一個提列 |
transcript.whisperx[617].start |
22463.363 |
transcript.whisperx[617].end |
22486.155 |
transcript.whisperx[617].text |
對阿除了招生之外我也要講因為前一陣子就有出現到底消防法要幾年後上路這個問題嘛對不對這顯然是沒有說清楚啦你們應該是你們總會真的是五年後才要執行吧應該不是這樣對不對但是應該要說清楚我的意思是說竟然都有一定的媒體宣導的這個業務消防法新修正之後的一些新的概念新的觀念什麼時候上路這些東西要有一個清楚明白的說明好這一部分我們把它併在 |
transcript.whisperx[618].start |
22486.975 |
transcript.whisperx[618].end |
22514.46 |
transcript.whisperx[618].text |
並在這個組決議的內容裡面好不好22我們就改組決議希望你在內容上面要針對新舊法的這個差異要做清楚的宣導避免人民的這個誤會23案的部分是這個消防安全衛生講習這個也是因應新法上路那我想要請問一下這個現在署長現在哪一些消防人員的職安問題是優先要解決的你有沒有心裡有沒有數要不要跟大家說明一下 |
transcript.whisperx[619].start |
22517.113 |
transcript.whisperx[619].end |
22542.451 |
transcript.whisperx[619].text |
好,感謝委員垂詢。報告召委,我們是不是要繼續發言?是,那個職安的部分,我們今年消防法修正過以後,我們有中程計畫。所以明年1月份開始,會用PMO的團隊,來每一個縣市搭配的團隊,來針對消防員執勤、扶勤跟危險的工作場所這方面的情形。那也列入我們身體檢查的費用,我們列了1500萬的經費,讓縣市消防人員可以做這方面的身體檢查。 |
transcript.whisperx[620].start |
22546.514 |
transcript.whisperx[620].end |
22551.618 |
transcript.whisperx[620].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、消防署部分關於內政部主管作業基金.營建建設基金.營建設基金 |
transcript.whisperx[621].start |
22565.729 |
transcript.whisperx[621].end |
22592.371 |
transcript.whisperx[621].text |
因為我們要知道大概哪一些治安問題是要優先處理的嘛我們才會這個政策執行的方向才會比較清楚因為你現在這個我們現在新的消防法規定要設立安全衛生的專責單位還有所謂的專責人員這些東西的一些進度還有地方的組織調整跟人力徵取去成立專責單位的部分我們希望有一個非常清楚的期程的說明當我們商量一個主要的期程有明確之後我們這邊我們也可以開組決議就算我都不會太為難這個消防弟兄的預算 |
transcript.whisperx[622].start |
22593.172 |
transcript.whisperx[622].end |
22614.499 |
transcript.whisperx[622].text |
三十一案,但我們每一案都有一些問題想要做一些釐清。三十一案是有關於民間自主緊急應變中隊。這樣子一個中隊本來是希望民間自主有防災的觀念,所以在災害的第一時間發生之後可以反應。這個概念當然是非常正確的,但是我想要問,我們花了非常多的錢去協助這件事情,然後去做這件事情,那我想問,真正當這個 |
transcript.whisperx[623].start |
22616.52 |
transcript.whisperx[623].end |
22635.748 |
transcript.whisperx[623].text |
災害發生的時候這個TCERT這樣的計畫是只有純粹訓練讓民間就去提升然後他們自己想辦法處理還是說因為我政府有投入了一定的預算去培訓去訓練以及等等在救災的時候他可以提供具體的資源他如果可以的話那請問他的這個指揮的SOP是什麼 |
transcript.whisperx[624].start |
22636.388 |
transcript.whisperx[624].end |
22661.97 |
transcript.whisperx[624].text |
因為現在看起來沒有相關的一個法令是說比如說你消防署可以去指揮指揮這樣子的這樣子的一群人去做處理那是不是既然我們都花錢去培養這一群人去訓練這一群人那是不是相關來講說在救災的時候我也要有一套所謂的指揮系統讓他可以來協助這個災害的搶救那麼這一套的系統什麼時候才可以明確的建立出來這我們希望可以聽到消防署一定的說明是不是請署長說明一下好感謝委員在聽等一下 |
transcript.whisperx[625].start |
22666.034 |
transcript.whisperx[625].end |
22688.994 |
transcript.whisperx[625].text |
那我把最後一個問題問完最後一個是36案因為我這個完了就結束了這個是火災預防的管理工作因為我們有收到這個吹哨者有指控這個消防安全中心的基金會他違反了火警探測器的任何基準也就是說他並沒有按照SOP去做審查然後造成變相幫廠商放水然後甚至有試驗記錄被篡改這樣子一個指控那 |
transcript.whisperx[626].start |
22689.835 |
transcript.whisperx[626].end |
22712.65 |
transcript.whisperx[626].text |
而且很難過的是吹哨子還被免職在消安會裡面看不過去竟然被免職蠻奇怪的消防署有來說明也承認檢測方法未依程序執行那消安會暫時也被停權那麼這件事情的調查結果出來之前那我想可能這個預算要做部分的凍結這個待會之後大家再做一下說明大家再做一下討論不好意思耽誤大家時間謝謝那個蘇委員 |
transcript.whisperx[627].start |
22715.226 |
transcript.whisperx[627].end |
22729.786 |
transcript.whisperx[627].text |
我的比較簡單因為其他都溝通過了我們就第30案這邊等一下還是請署長稍微說明一下目前的進度到哪裡以至於未來提書面報告的時候我可以做個比較我的這個案子其實就是 |
transcript.whisperx[628].start |
22730.246 |
transcript.whisperx[628].end |
22754.975 |
transcript.whisperx[628].text |
在這個直轄市縣市消防車輛裝備及人力配置標準的這個部分我們在質詢的時候也認為說消防車和救災車不一樣那每一個縣市直轄市非直轄市也又不一樣那在這樣的狀況下有沒有認為是什麼樣的狀況會比較精準適合應該有一個標準而不是只有現在當然現在已經進步了現在有補助縣市去採採購 |
transcript.whisperx[629].start |
22756.516 |
transcript.whisperx[629].end |
22762.361 |
transcript.whisperx[629].text |
中央政府總預算案附屬單位預算基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金。五、繼續審查114年度中央政府總預算案附屬單位預算基金。 |
transcript.whisperx[630].start |
22776.512 |
transcript.whisperx[630].end |
22797.799 |
transcript.whisperx[630].text |
徐委員謝謝主席本席大概針對提案的部分消防署都有來做過溝通所以大部分都是測案或是改成主決議那現在就只剩幾個案子要跟消防署這邊來請教一下就是說第54案因為這個有關加強救災救護工作的分支計劃那針對這個部分的話我們編列的這個經費呢54案是 |
transcript.whisperx[631].start |
22805.643 |
transcript.whisperx[631].end |
22826.477 |
transcript.whisperx[631].text |
一千三百四十二萬三千元那較這個113年度大概增加了2.5倍那消防署那時候的說明是這個是依據任性國家醫療整備計畫這是配合這個衛福部那既然是衛福部的計畫為什麼我們還要編列一千三百多萬那到底這筆錢是怎麼用 |
transcript.whisperx[632].start |
22826.997 |
transcript.whisperx[632].end |
22828.458 |
transcript.whisperx[632].text |
三、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[633].start |
22857.417 |
transcript.whisperx[633].end |
22866.383 |
transcript.whisperx[633].text |
中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金. |
transcript.whisperx[634].start |
22887.337 |
transcript.whisperx[634].end |
22908.718 |
transcript.whisperx[634].text |
的中程計劃。那因為這個採購的項目的非常多那我們這邊也缺乏了細部的說明到底要採購哪些設備採購的必要性是什麼要怎麼使用買了能夠達成什麼樣的效果這個部分我想這都要請這個我們的這個消防署能夠做充分的說明那尤其是今年度只要談到韌性 |
transcript.whisperx[635].start |
22910.319 |
transcript.whisperx[635].end |
22934.227 |
transcript.whisperx[635].text |
預算都比去年多很多那在消防署的部分都說是要強化救災能量那當然這個部分以前臺灣也有很難道就沒有災難嗎為什麼今年預知明年的災難會特別多那尤其是發生了這個現在是超過2.5倍的經費所以到底消防署針對這部分多變成這麼多的經費要救災到底是要用在什麼地方 |
transcript.whisperx[636].start |
22934.907 |
transcript.whisperx[636].end |
22946.11 |
transcript.whisperx[636].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。六、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營 |
transcript.whisperx[637].start |
22964.69 |
transcript.whisperx[637].end |
22981.919 |
transcript.whisperx[637].text |
原鄉部落救災怎麼樣可以改善不要說消防車水線無法步達讓火勢蔓延那像新竹縣就發生過29小時的燃燒才能合力撲滅所以這個部分本席 |
transcript.whisperx[638].start |
22983.78 |
transcript.whisperx[638].end |
22999.255 |
transcript.whisperx[638].text |
一、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。六、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營 |
transcript.whisperx[639].start |
23008.503 |
transcript.whisperx[639].end |
23021.495 |
transcript.whisperx[639].text |
消防署有提報智慧科技消防全民救災整備研發計劃我們看不到明確的計劃內容還有預期效益評估以及預估訓練人次 |
transcript.whisperx[640].start |
23023.337 |
transcript.whisperx[640].end |
23042.613 |
transcript.whisperx[640].text |
三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金� |
transcript.whisperx[641].start |
23055.684 |
transcript.whisperx[641].end |
23079.595 |
transcript.whisperx[641].text |
好謝謝主席部長署長那我要提的是這個第17案因為今天剛好消防署有一個新聞稿指出在這10年來有國內有28個消防人員殉職那尤其九層大概25名消防員都是葬身火場那我們第一線的消防人員非常的辛苦所以人力不足預算不足裝備不足是我們常常討論的議題所以我們 |
transcript.whisperx[642].start |
23081.096 |
transcript.whisperx[642].end |
23094.932 |
transcript.whisperx[642].text |
基本上我們都支持消防署的所有的預算可是我們這邊要提的是說在第17案的時候是麥玉珍委員的提案他針對114年消防署第二幕的消防救災作業業務的這個一年編列了3億7千9百77萬 |
transcript.whisperx[643].start |
23099.998 |
transcript.whisperx[643].end |
23120.531 |
transcript.whisperx[643].text |
主要是要建構消防人員工作安全衛生作業中程計劃等等這些東西可是我們現在消防工作全域促進會有特別在反映是不是因為人力不足的關係救災的加班時數因為人力不足沒有辦法實際補休而且它的有效的時間 |
transcript.whisperx[644].start |
23121.812 |
transcript.whisperx[644].end |
23145.8 |
transcript.whisperx[644].text |
只有兩年兩年沒有修完就歸零的限制所以第一個加班時間是不是都可以報那如果報加班時間沒有辦法補修的話兩年內就沒有未修完歸零然後加班費如果要換成加班費也有上限的金額必要就變成我們所有基層的消防人員那麼辛苦的加班沒有辦法領到錢或是沒有辦法修完會歸零的一個狀況 |
transcript.whisperx[645].start |
23148.021 |
transcript.whisperx[645].end |
23167.751 |
transcript.whisperx[645].text |
部分縣市消防人員的訓練採用自己請假的方式訓練是消防的必要工作自己請假沒有當成加班是否增加消防人員過勞的實質風險真的是有疑問所以我們都很關心消防人員的問題針對消防人員的設備構置長期身體身體身心靈 |
transcript.whisperx[646].start |
23172.814 |
transcript.whisperx[646].end |
23194.504 |
transcript.whisperx[646].text |
的一些狀況,我們覺得有檢討的空間。所以請消防署定定短、中、長期的措施,以及針對消防能力不足要理定輔導方案,而且要對自己自駕消防訓練明定明確的標準及限制,來建構完整的消防人員身心靈的健康。所以,剛剛脈力政委員有跟我討論,本來他要凍結10%,改成凍結 |
transcript.whisperx[647].start |
23198.206 |
transcript.whisperx[647].end |
23205.73 |
transcript.whisperx[647].text |
500萬,請消防署及所屬單位在一個月內向立法院內政委員會提出書面報告經同意後,使得動之。 |
transcript.whisperx[648].start |
23213.683 |
transcript.whisperx[648].end |
23236.828 |
transcript.whisperx[648].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分關於內政部國土管 |
transcript.whisperx[649].start |
23242.409 |
transcript.whisperx[649].end |
23261.581 |
transcript.whisperx[649].text |
一、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所屬、移民署及所� |
transcript.whisperx[650].start |
23272.068 |
transcript.whisperx[650].end |
23279.56 |
transcript.whisperx[650].text |
中央政府總預算案附屬單位預算非營業部分關於內政部國土管理署及所屬、警政署及所屬、移民署部分關於內政部國土管理署及所屬、移民署部分 |
transcript.whisperx[651].start |
23287.423 |
transcript.whisperx[651].end |
23314.963 |
transcript.whisperx[651].text |
來,漢茂委員,沒了話請說明。好,感謝趙委員跟各位委員垂詢。對於剛才第一案提出,就是我們指揮系統,T-SERV指揮系統,事實上在訓練過程當中,這個是重要的項目。包括後勤怎麼應用,包括怎麼救災基本能量,主要是自保自救、互救這個能量。所以目前的能量大概有達到這個程度,那明年甚至還會再進一階做訓練,這個是我們中心計畫的一個精神。 |
transcript.whisperx[652].start |
23315.803 |
transcript.whisperx[652].end |
23342.234 |
transcript.whisperx[652].text |
期待的是主要的場所包括CI的這些場所都是我們所著重重點期待委員能夠支持目前已經在執行那今年已經有90對那明年會繼續再擴大這樣的一個訓練能量那剛才委員垂詢的那個基金會這個案子我們已經送到聯證署所以我想這個就不要我們就在公開場所就不要特別來做一個報告已經送到聯證署來做 |
transcript.whisperx[653].start |
23343.574 |
transcript.whisperx[653].end |
23365.379 |
transcript.whisperx[653].text |
進一步的一個調查。那委員隨選的車輛裝備器材這個部分已經納入我們整體的一個規劃所以今年的計劃裡面有個高科技廠房的救災的一個裝備器材也是基於這樣的一個場所就是這些場所有特殊性所以它的裝備器材有它的特殊需求那期待委員能夠支持我們的科學園區的這個計劃還有化學工業 |
transcript.whisperx[654].start |
23367.919 |
transcript.whisperx[654].end |
23372.38 |
transcript.whisperx[654].text |
建設基金.營建建設基金.營建建設基金.營建建設基金.營建建設基金.營建建設基金.營建建設基金.營建建設基金.營建建設基金. |
transcript.whisperx[655].start |
23394.627 |
transcript.whisperx[655].end |
23396.469 |
transcript.whisperx[655].text |
政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[656].start |
23411.847 |
transcript.whisperx[656].end |
23431.695 |
transcript.whisperx[656].text |
是不是容許我們在我們在12案、第69案、第70案明天的報告裡面我們會詳細把我們的通訊的需求、備用的需求備份的需求這個部分明天禮拜三的專案匯報匯報裡面我們會跟委員會來做一個提報那另外在 |
transcript.whisperx[657].start |
23434.744 |
transcript.whisperx[657].end |
23454.966 |
transcript.whisperx[657].text |
我們在委員關心的那個計畫沒有上傳我們在今年8月30號已經報到大院裡面來做審查那如果說委員需要的話我們等一下會後馬上呈給委員來做這方計畫內容的評估內容的一個參考指教這個我們都依照程序來做這方面的一個處理 |
transcript.whisperx[658].start |
23456.587 |
transcript.whisperx[658].end |
23475.682 |
transcript.whisperx[658].text |
至於我們在短中長期針對於人力的部署、裝備器材的部署、身心靈、勤務的部分跟委員報告我們這個禮拜25號會召開全國的一個工作的一個檢討會議就是縣市執行完以後當然勤務狀況到底有哪些問題包括 |
transcript.whisperx[659].start |
23477.043 |
transcript.whisperx[659].end |
23479.126 |
transcript.whisperx[659].text |
三、繼續審查114年度中央政府作業基金.營建建設基金.營建設基金 |
transcript.whisperx[660].start |
23492.505 |
transcript.whisperx[660].end |
23515.313 |
transcript.whisperx[660].text |
這是我們在整個我們現在禽秀狀況的處理狀況那前面有報告就是我們消防人力的補充今年很順利的我們有940位通過今年的特考明年1月份會進來受訓那後年的1月份會畢業那目前一測通過以後二測再進來目前是還有820位所以在後年的1月我們會有820位預計啦 |
transcript.whisperx[661].start |
23517.074 |
transcript.whisperx[661].end |
23520.336 |
transcript.whisperx[661].text |
三、繼續審查114年度中央政府總預算案附屬單位預算。四、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[662].start |
23537.465 |
transcript.whisperx[662].end |
23556.178 |
transcript.whisperx[662].text |
會進步到縣市執行當中。所以部長特別關心我們應該在116年、117年以後這個人力量會逐步到位那剛才跟委員報告就是信中對招生這方面的宣傳跟說明我們期待說兩個部分的一個搭配 |
transcript.whisperx[663].start |
23556.858 |
transcript.whisperx[663].end |
23560.181 |
transcript.whisperx[663].text |
三、繼續審查114年度中央政府總預算案附屬單位預算。四、繼續審查114年度中央政府總預算案附屬單位預算。五、繼續審查114年度中央政府總預算案附屬單位預算。 |
transcript.whisperx[664].start |
23588.872 |
transcript.whisperx[664].end |
23600.342 |
transcript.whisperx[664].text |
好 謝謝所以剛剛署長很感謝署長的這個這個說明那我請教一下就是因為現在目前是因為這個很多消防員因為人力不足沒有實際補沒有辦法實際補修所以 |
transcript.whisperx[665].start |
23603.625 |
transcript.whisperx[665].end |
23629.454 |
transcript.whisperx[665].text |
這個署長意思是說因為未來人人員會慢慢充沛嗎所以這個點會慢慢減少那我想要請教的是是不是有這些沒有辦法補修的時效有兩年沒有修完要歸零的情況有現在有這樣的情況嗎那如果要歸零的話呢一般來講的話是不是說應該要改成加班費可是加班費又有上限所以變成說到最後這些消防同仁是不是就沒辦法修完的又沒辦法領錢又有 |
transcript.whisperx[666].start |
23630.194 |
transcript.whisperx[666].end |
23656.654 |
transcript.whisperx[666].text |
有這個上限的問題以及還有一個問題說就我知道你們你署長剛有提說未來會檢討嗎那這兩個問題是不是存在另外一個就是說消防人員現在是不是有採自駕的方自己自駕式的方式就是說自己訓練沒有辦法報報加班的方式是否有這樣的情形那未來有沒有有沒有一個一個輔導方案輔助方案我這三這三點可不可以再幫我稍微解釋一下謝謝 |
transcript.whisperx[667].start |
23658.407 |
transcript.whisperx[667].end |
23675.564 |
transcript.whisperx[667].text |
好,感謝委員垂詢規定的部分跟自駕受訓的部分應該這個是少數的狀況我們在這次檢討會議裡面會列出來然後會正式列入會議的決議讓縣市在執行上面加班費有上限嗎?加班費我們是19000目前是每個月的加班費上限 |
transcript.whisperx[668].start |
23676.044 |
transcript.whisperx[668].end |
23696.217 |
transcript.whisperx[668].text |
那如果說是因為剛才有報告過就是超過19000跟加班時間這兩條路一個是補休一個是給超勤的費用那目前有的縣市在檢討說是不是要給超勤的費用目前這個還沒有定案那有的縣市是已經列入他的年度預算我想這個部分就是我們會持續滾動檢討這也為什麼我們最近會召開會議來針對於超勤的問題時數的問題做整個來做檢討 |
transcript.whisperx[669].start |
23703.342 |
transcript.whisperx[669].end |
23732.421 |
transcript.whisperx[669].text |
好 謝謝署長謝謝署長的說明非常清楚那是不是說你們下因為這個問題我想很多委員都很關心了那既然預算我相信我們一定會給你們足夠的預算那是不是說你們下次檢討報告完了以後書面報告可以提供我們每位委員一份讓我們了解大概整個情況好不好感謝委員好 謝謝還有沒有委員沒有的話我們欸 你要欸 剛剛署長爸爸還好我知道我知道許委員還好 |
transcript.whisperx[670].start |
23733.888 |
transcript.whisperx[670].end |
23757.076 |
transcript.whisperx[670].text |
五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建基金。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營業部分關於內政部主管作業基金.營業部分關於內政 |
transcript.whisperx[671].start |
23763.401 |
transcript.whisperx[671].end |
23777.727 |
transcript.whisperx[671].text |
還有59案59案是針對於通訊備援備份這個部分跟委員報告就是委員後庭會召開那個機密會議的部分這部分我們再做一個說明跟提報委員不好意思 |
transcript.whisperx[672].start |
23790.779 |
transcript.whisperx[672].end |
23812.54 |
transcript.whisperx[672].text |
徐議員,您有沒有要回答?徐議員,您有沒有要回答?徐議員,您有沒有要回答?徐議員,您有沒有要回答?徐議員,您有沒有要回答?徐議員,您有沒有要回答?徐議員,您有沒有要回答?徐議員,您有沒有要回答?徐議員,您有沒有要回答?徐議員,您有沒有要回答?徐議員,您有沒有要回答?徐議員,您有沒有要回答?徐議員,您有沒有要回答?徐議員,您有沒有要回答?徐議員,您有沒有要回答?徐議員,您有沒有要回答?徐議員,您有沒有要回答?徐議員,您有沒有要回答?徐議員,您有沒有要回答?徐議員,您有沒有要回答?徐議員 |
transcript.whisperx[673].start |
23816.055 |
transcript.whisperx[673].end |
23823.939 |
transcript.whisperx[673].text |
提供資料的部分我們在8月30號已經有函報給立法院我會等一下馬上給委員來做一個審閱是19案跟61案是61案這個剛才就是我們等一下馬上提給委員我們8月30號提到我們大會裡面來處理 |
transcript.whisperx[674].start |
23840.875 |
transcript.whisperx[674].end |
23861.953 |
transcript.whisperx[674].text |
19案是偏鄉19案我們在原住民地區我們執行一個整備的指導計畫目前都一直在執行當中而且每一年的訓練還有宣導還有我們裝備器材的輔助這個都有逐年那些執行狀況我們可以提給委員來做一個審閱就問題回答就好了 |
transcript.whisperx[675].start |
23863.133 |
transcript.whisperx[675].end |
23874.957 |
transcript.whisperx[675].text |
四、繼續審查114年度中央政府總預算案關於內政部國土管理署及所屬、警政署及所屬、警政署部分關於內政部主管作業基金.營建建設基金。五、繼續審查114年度中央政府總預算案關於內政部主管作業基金.營建建設基金。六、繼續審查114年度中央政府總預算案關於內政部主管作業基金.營建建設基金。 |
transcript.whisperx[676].start |
23889.147 |
transcript.whisperx[676].end |
23889.888 |
transcript.whisperx[676].text |
那61案這個是直接給委員嗎? |
transcript.whisperx[677].start |
24739.278 |
transcript.whisperx[677].end |
24741.153 |
transcript.whisperx[677].text |
立法院第11屆第2會期內政委員會第11屆第2會期內政委員會 |
transcript.whisperx[678].start |
24742.714 |
transcript.whisperx[678].end |
24767.019 |
transcript.whisperx[678].text |
那跟大家報告一下我先那個還有21、23、25、36、39改組決議那我們整目凍結700所有委員的案子並按處理然後呢在校會期這個業務報告的時候並專案報告一起處理好 |
transcript.whisperx[679].start |
24770.14 |
transcript.whisperx[679].end |
24793.847 |
transcript.whisperx[679].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。五、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。六、繼續審查114年度中� |
transcript.whisperx[680].start |
24795.31 |
transcript.whisperx[680].end |
24797.972 |
transcript.whisperx[680].text |
73案一樣是禮拜三處理。然後,74、75、76、77、78、79、80、81、83改組決議。好,剩82案。 |
transcript.whisperx[681].start |
24812.813 |
transcript.whisperx[681].end |
24825.909 |
transcript.whisperx[681].text |
對,針對這一個82部分是強化特種搜救任務的分支計劃那一般的事務費是編列1957萬比今年度985萬大概多了一倍 |
transcript.whisperx[682].start |
24826.61 |
transcript.whisperx[682].end |
24843.021 |
transcript.whisperx[682].text |
那消防署的說明是說這個費用是新編列是要聘請國際通過聯合國重型搜救隊的認證的隊伍或者是美國的搜救隊的專業教官來台所以美國教育的專業的教官來台的話培訓費用大概是872萬6千 |
transcript.whisperx[683].start |
24845.302 |
transcript.whisperx[683].end |
24849.405 |
transcript.whisperx[683].text |
二、繼續審查114年度中央政府總預算案附屬單位預算。三、繼續審查114年度中央政府總預算案附屬單位預算。二、繼續審查114年度中央政府總預算案附屬單位預算。 |
transcript.whisperx[684].start |
24867.537 |
transcript.whisperx[684].end |
24869.318 |
transcript.whisperx[684].text |
三、繼續審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[685].start |
24904.943 |
transcript.whisperx[685].end |
24925.94 |
transcript.whisperx[685].text |
這個科目事實上有幾筆經費跟委員報告一下就是我們現在正在進行北中南東的重型備援參觀的建設包括在花蓮、新北、薰陵中心還有屏東這個案子是逐步在執行當中那另外還有特授隊的職安這個部分也是包括在這個科目裡面 |
transcript.whisperx[686].start |
24926.52 |
transcript.whisperx[686].end |
24948.389 |
transcript.whisperx[686].text |
當然剛才委員垂詢就是說特收隊的國際能量事實上目前我們還是還不是國際認證的特收隊所以我們本國自認為是夠但事實上需要國際上認證過的隊伍來幫我們做協助處理那目前我們比較缺的就是後勤指揮管理這個區塊我們還是有不足的地方 |
transcript.whisperx[687].start |
24949.009 |
transcript.whisperx[687].end |
24977.806 |
transcript.whisperx[687].text |
所以不斷地要國際隊伍來事實上不是只有針對消防署事實上縣市也一起來學習是有三個部份的經會才會有這個增加的一個情形跟我們報告那剛剛請教您的就是臺北、新北、高雄、臺南這些經過聯合國的認證的這個搜救隊伍是不是就是所謂的國際合格的教官呢?這就是台灣NAP認證的所以臺北是國際合格的教官就對了所以這個部分是我們接下來要努力的地方好 |
transcript.whisperx[688].start |
24978.346 |
transcript.whisperx[688].end |
24996.395 |
transcript.whisperx[688].text |
瞭解是,謝謝委員所以,師父委員可以不要請你只剩,只剩徐岳維你這一案還是改組決議來,我們協商一下趕快去跟徐岳維拜託 |
transcript.whisperx[689].start |
25152.014 |
transcript.whisperx[689].end |
25169.262 |
transcript.whisperx[689].text |
二、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。三、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。四、繼續審查114年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金.營建建設基金。 |
transcript.whisperx[690].start |
25183.426 |
transcript.whisperx[690].end |
25204.058 |
transcript.whisperx[690].text |
來,96案是徐昭偉你的。我不知道,來你們說明一下,剩兩案。感謝委員的垂詢,那91案的部分,目前防火站,你是不是要照案處理,或是要文字修正,你直接說。好,91案我們建議說, |
transcript.whisperx[691].start |
25206.219 |
transcript.whisperx[691].end |
25228.827 |
transcript.whisperx[691].text |
現在你處理96案是不是容許因為我們現在已經在3月中旬計劃正在執行是不是容許這些書面報告的資料我們在3月裡面來提報我們針對3月救援目前好幾個區塊同步在執行今年已經有很大的突破明年應該有更大的突破的空間是不是容許不是嘛你就要召喚通過你就召喚通過就好了 |
transcript.whisperx[692].start |
25229.927 |
transcript.whisperx[692].end |
25240.238 |
transcript.whisperx[692].text |
文字修正你修正哪裡就是最後一段宣導、教育、救護等事項於三個月內提送書面包括資料予內政委員會 |
transcript.whisperx[693].start |
25242.336 |
transcript.whisperx[693].end |
25261.996 |
transcript.whisperx[693].text |
九十一案是不是最後一段就是並維持各地防台訓練?這個部分是不是容許刪掉?因為我們在網站上的宣導跟災管的一點通這些宣導資料都同步在進行那防台訓練是不是容許不要列進去? |
transcript.whisperx[694].start |
25264.195 |
transcript.whisperx[694].end |
25284.321 |
transcript.whisperx[694].text |
不是啦,所以你有修正是不是?文字三處建立文字三處就是並維持各地方台訓練我看一下,你等我我看並維持各地方台訓練 |
transcript.whisperx[695].start |
25287.574 |
transcript.whisperx[695].end |
25288.415 |
transcript.whisperx[695].text |
並維持各地防台訓練這幾個字。 |
transcript.whisperx[696].start |
25317.516 |
transcript.whisperx[696].end |
25321.618 |
transcript.whisperx[696].text |
114年度內政部國土署及所屬預算協商結論 |
transcript.whisperx[697].start |
25340.74 |
transcript.whisperx[697].end |
25366.878 |
transcript.whisperx[697].text |
稅出部分第二項第一案凍結兩百萬元書面報告經同意後使得通知第二案凍結一百三十四萬兩千元經書面報告後使得通知第一幕預算照列第二幕第三五六案改組決議第四案不予處理預算照列第三幕國土管理業務 |
transcript.whisperx[698].start |
25368.666 |
transcript.whisperx[698].end |
25398.224 |
transcript.whisperx[698].text |
第七案、第九案、測案。第二十一、二十五、三十、三十一、三十四、三十五、三十三十六、三十七並三十五案。三十九、四十、四十二、四十三、四十四、四十五案改組決議。其議委員提案合併處理凍結九千九百萬元其中第 |
transcript.whisperx[699].start |
25400.055 |
transcript.whisperx[699].end |
25427.058 |
transcript.whisperx[699].text |
實案11、12、15、23、24、26、27與社會住宅配套政策相關提案經專案報告經同意後始的動之其餘採取其餘從書面報告後始的動之。第四目第50、51案不予處理預算照列。第五目、第六目預算照列。第七目 |
transcript.whisperx[700].start |
25428.396 |
transcript.whisperx[700].end |
25445.069 |
transcript.whisperx[700].text |
第54、55、56、57改組決議其餘委員提案合併處理凍結1000萬元向本會提出書面報告經同意厚實的動之。第8目下水道管理業務第76、77、78、79、80、81、82、83改組決議預算照列。主決議 |
transcript.whisperx[701].start |
25456.344 |
transcript.whisperx[701].end |
25480.311 |
transcript.whisperx[701].text |
85、86、87、88、89案修正文字通過。84案照案通過。114年度內政部警政署及所屬預算協商結論稅務部分預算照列稅務部分第三項第一、二案不予處理第一目一般行政第三、四、五、六、七、八、九、十案改組決議預算照列 |
transcript.whisperx[702].start |
25483.444 |
transcript.whisperx[702].end |
25485.285 |
transcript.whisperx[702].text |
第二、第15、18、27、40、42、63案保留。第47、49、51、57、58、59、60、61案測案。第12、14、16、17、19、20、22、23、24、26、28、29、31、37、39、41、46、50、52、53、55案改組決議。 |
transcript.whisperx[703].start |
25512.037 |
transcript.whisperx[703].end |
25524.008 |
transcript.whisperx[703].text |
7月委員提案合併處理凍結500萬元向本會提出書面報告經同意後使得凍資。第三目警務管理第71案測案第65、66、67、68、69、70、72、73、74、75、76改組決議預算照列 |
transcript.whisperx[704].start |
25534.875 |
transcript.whisperx[704].end |
25540.656 |
transcript.whisperx[704].text |
第4目保安警察業務第77、81、83、84、85案保留第78、79、80、85至1改組決議第5目國道警察業務第86、87、88改組決議預算照列第6目刑事警察業務 |
transcript.whisperx[705].start |
25561.567 |
transcript.whisperx[705].end |
25562.608 |
transcript.whisperx[705].text |
第98、114、117、118、125、126、127、128、129、130、131、132、133、134策案。第93、94、95、96、97、103、106、110、1213、115、121、122、123、135改組決議。 |
transcript.whisperx[706].start |
25586.368 |
transcript.whisperx[706].end |
25608.822 |
transcript.whisperx[706].text |
其餘委員提案105、107、108、109並按凍結兩億保留協商。其餘委員提案合併處理凍結一千萬元向本會提出書面報告經同意後使者動之。第七目初級警察教育第136、137、138、139、140改組決議預算照列。第八目一般建築及設備 |
transcript.whisperx[707].start |
25616.516 |
transcript.whisperx[707].end |
25632.97 |
transcript.whisperx[707].text |
第一百四十二、一百四十七案保留。第一百四十一、一百四十三、一百四十四、一百四十五案改組決議。一百四十六案不予處理。第九目第一備軍預算照列。組決議第一百四十八案修正文字通過。第一百四十九案照案通過。 |
transcript.whisperx[708].start |
25640.443 |
transcript.whisperx[708].end |
25659.322 |
transcript.whisperx[708].text |
114年度內政部消防署及所屬預算寫章結論稅務部分預算照列稅務部分第一幕第三、第九案測案第一、六、八、十、十一案改組決議企業委員提案合併處理凍結兩百萬元向本會提出書面報告經同意後使得凍資 |
transcript.whisperx[709].start |
25662.162 |
transcript.whisperx[709].end |
25665.304 |
transcript.whisperx[709].text |
第二幕消防救災業務第12案保留第32、35、37、58案測案第13、14、15、18、20、21、22、23、24、25、26、27、28、29 |
transcript.whisperx[710].start |
25681.269 |
transcript.whisperx[710].end |
25685.591 |
transcript.whisperx[710].text |
33、34、36、38、39、41、42、43、44、45、46、47、48、49、50、52、53、55、56、57、60、63、64、65、66、67、68改組決議。區議員提案合併處理,凍結700萬元。向本會提出專案報告,經同意後,使得凍資。 |
transcript.whisperx[711].start |
25709.349 |
transcript.whisperx[711].end |
25726.224 |
transcript.whisperx[711].text |
第三目港務消防業務第69案保留第71、72案撤案第70案改組決議第四目特種搜救業務第73案保留74、75、76、77、78、79、80、81、82、83改組決議第五目一般建築及設備第六目第一倍計預算照列組決議 |
transcript.whisperx[712].start |
25736.311 |
transcript.whisperx[712].end |
25753.793 |
transcript.whisperx[712].text |
第88、91、95、96修正文字通過其提案照案通過。14年度內政部引述預算協商結論稅務部分預算照列稅務部分第一幕預算照列第一、二案改組決議 |
transcript.whisperx[713].start |
25755.745 |
transcript.whisperx[713].end |
25773.975 |
transcript.whisperx[713].text |
二、繼續審查114年度中央政府總預算案附屬單位預算基金。三、繼續審查114年度中央政府總預算案附屬單位預算基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金。三、繼續審查114年度中央政府總預算案附屬單位預算基金。四、繼續審查114年度中央政府總預算案附屬單位預算基金。三、繼續審查114年度中央政府總預算案附屬單位預算基金。 |
transcript.whisperx[714].start |
25775.217 |
transcript.whisperx[714].end |
25801.949 |
transcript.whisperx[714].text |
區域委員提案合併處理冰岸凍結1000萬元向本會提出專案報告,均同意厚實的凍資。第三目,一般建築及設備。第四目,第一備金預算照列。五組決議。營建建設基金預算。住宅基金第三、第四、第六、十二、十三案改組決議。 |
transcript.whisperx[715].start |
25803.756 |
transcript.whisperx[715].end |
25816.524 |
transcript.whisperx[715].text |
區委員提案合併處理,並按凍結9900萬元向本位提出專案報告,經同意後,使得凍資。中央都市更新基金第14、15、16、17案改組決議,預算照列。組決議第21、23、24案修正文字通過,第18、19、20、22照案通過。 |
transcript.whisperx[716].start |
25832.83 |
transcript.whisperx[716].end |
25858.358 |
transcript.whisperx[716].text |
特別收入基金部分國土永續發展基金附屬單位預算基金來源預算照列基金用途第一二案改組決議預算照列第三案修正文字通過主決議第三案修正文字通過新住民發展基金附屬單位預算基金來源預算照列基金用途第一二案改組決議預算照列宣讀完畢好 |
transcript.whisperx[717].start |
25864.322 |
transcript.whisperx[717].end |
25883.135 |
transcript.whisperx[717].text |
請問各位委員,有委員提案的部分照剛才宣讀的寫章結論通過,沒有提案的部分預算均照列,請問有異議?好,沒有異議。本次通過是決議,文字授權主席及議事人員整理。然後,審查114年度中央政府總預算案關於國土管理署 |
transcript.whisperx[718].start |
25884.486 |
transcript.whisperx[718].end |
25900.404 |
transcript.whisperx[718].text |
及所屬、移民署部分審查完略、領據審查報告含附財政委員會提報院會。四、114年度中央政府總預算案附屬單位預算非營業部分 |
transcript.whisperx[719].start |
25901.505 |
transcript.whisperx[719].end |
25915.161 |
transcript.whisperx[719].text |
部分關於內政部主管作業基金.營建建設基金審查文件.領遵審查報告含附財政委員會提報院會。114年度中央政府總預算案附屬單位 |
transcript.whisperx[720].start |
25917.383 |
transcript.whisperx[720].end |
25939.522 |
transcript.whisperx[720].text |
預算非營業部分關於內政部主管特別收入基金.新住民發展基金.國土永續發展基金以審查完均.擬均審查報告含附財政委員會提報院會。有關警政署消防署114年度涉及機密部分.113年12月25號星期三上午9點到11點審查。 |
transcript.whisperx[721].start |
25945.329 |
transcript.whisperx[721].end |
25953.18 |
transcript.whisperx[721].text |
好 那我們本日議程處理至此 現在休息 我們星期三繼續開會我剛講涉及機密部分 |