iVOD / 16433

Field Value
IVOD_ID 16433
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16433
日期 2024-12-30
會議資料.會議代碼 委員會-11-2-15-19
會議資料.會議代碼:str 第11屆第2會期內政委員會第19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 19
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19次全體委員會議
影片種類 Full
開始時間 2024-12-30T08:29:59+08:00
結束時間 2024-12-30T17:20:00+08:00
影片長度 08:50:01
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/eeffa975d6a1e3ea4f168390ff16a0109b5fa2f296a9353422ed645e3f9bcfe62695d3bafb209b5c5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-12-30T09:00:00+08:00
會議名稱 立法院第11屆第2會期內政委員會第19次全體委員會議(事由:一、審查114年度中央政府總預算案關於客家委員會及所屬部分。二、審查客家委員會函送財團法人客家公共傳播基金會114年度預算書案。三、繼續審查114年度中央政府總預算案關於中央選舉委員會及所屬單位預算。 【本次會議時間為上午9時至議程處理完竣。】)
委員名稱 完整會議
委員發言時間 08:29:59 - 17:20:00
transcript.pyannote[0].speaker SPEAKER_29
transcript.pyannote[0].start 1332.56534375
transcript.pyannote[0].end 1333.12221875
transcript.pyannote[1].speaker SPEAKER_29
transcript.pyannote[1].start 1346.16659375
transcript.pyannote[1].end 1346.65596875
transcript.pyannote[2].speaker SPEAKER_29
transcript.pyannote[2].start 1361.52284375
transcript.pyannote[2].end 1362.13034375
transcript.pyannote[3].speaker SPEAKER_14
transcript.pyannote[3].start 2476.42034375
transcript.pyannote[3].end 2479.77846875
transcript.pyannote[4].speaker SPEAKER_35
transcript.pyannote[4].start 2481.49971875
transcript.pyannote[4].end 2484.80721875
transcript.pyannote[5].speaker SPEAKER_14
transcript.pyannote[5].start 2485.92096875
transcript.pyannote[5].end 2487.30471875
transcript.pyannote[6].speaker SPEAKER_14
transcript.pyannote[6].start 2488.87409375
transcript.pyannote[6].end 2494.71284375
transcript.pyannote[7].speaker SPEAKER_15
transcript.pyannote[7].start 2495.92784375
transcript.pyannote[7].end 2513.12346875
transcript.pyannote[8].speaker SPEAKER_15
transcript.pyannote[8].start 2513.54534375
transcript.pyannote[8].end 2516.68409375
transcript.pyannote[9].speaker SPEAKER_15
transcript.pyannote[9].start 2517.02159375
transcript.pyannote[9].end 2523.85596875
transcript.pyannote[10].speaker SPEAKER_15
transcript.pyannote[10].start 2524.24409375
transcript.pyannote[10].end 2525.98221875
transcript.pyannote[11].speaker SPEAKER_15
transcript.pyannote[11].start 2526.35346875
transcript.pyannote[11].end 2539.63409375
transcript.pyannote[12].speaker SPEAKER_15
transcript.pyannote[12].start 2539.88721875
transcript.pyannote[12].end 2544.17346875
transcript.pyannote[13].speaker SPEAKER_15
transcript.pyannote[13].start 2544.19034375
transcript.pyannote[13].end 2547.43034375
transcript.pyannote[14].speaker SPEAKER_15
transcript.pyannote[14].start 2548.00409375
transcript.pyannote[14].end 2551.98659375
transcript.pyannote[15].speaker SPEAKER_15
transcript.pyannote[15].start 2552.18909375
transcript.pyannote[15].end 2552.79659375
transcript.pyannote[16].speaker SPEAKER_15
transcript.pyannote[16].start 2552.99909375
transcript.pyannote[16].end 2575.03784375
transcript.pyannote[17].speaker SPEAKER_15
transcript.pyannote[17].start 2579.25659375
transcript.pyannote[17].end 2617.68096875
transcript.pyannote[18].speaker SPEAKER_15
transcript.pyannote[18].start 2617.93409375
transcript.pyannote[18].end 2622.60846875
transcript.pyannote[19].speaker SPEAKER_15
transcript.pyannote[19].start 2622.96284375
transcript.pyannote[19].end 2631.26534375
transcript.pyannote[20].speaker SPEAKER_15
transcript.pyannote[20].start 2631.56909375
transcript.pyannote[20].end 2637.35721875
transcript.pyannote[21].speaker SPEAKER_15
transcript.pyannote[21].start 2637.69471875
transcript.pyannote[21].end 2644.64721875
transcript.pyannote[22].speaker SPEAKER_15
transcript.pyannote[22].start 2644.93409375
transcript.pyannote[22].end 2653.18596875
transcript.pyannote[23].speaker SPEAKER_15
transcript.pyannote[23].start 2653.74284375
transcript.pyannote[23].end 2663.37846875
transcript.pyannote[24].speaker SPEAKER_15
transcript.pyannote[24].start 2663.73284375
transcript.pyannote[24].end 2665.72409375
transcript.pyannote[25].speaker SPEAKER_15
transcript.pyannote[25].start 2666.14596875
transcript.pyannote[25].end 2668.55909375
transcript.pyannote[26].speaker SPEAKER_15
transcript.pyannote[26].start 2668.86284375
transcript.pyannote[26].end 2675.91659375
transcript.pyannote[27].speaker SPEAKER_15
transcript.pyannote[27].start 2675.95034375
transcript.pyannote[27].end 2678.58284375
transcript.pyannote[28].speaker SPEAKER_15
transcript.pyannote[28].start 2679.08909375
transcript.pyannote[28].end 2683.42596875
transcript.pyannote[29].speaker SPEAKER_15
transcript.pyannote[29].start 2683.64534375
transcript.pyannote[29].end 2685.07971875
transcript.pyannote[30].speaker SPEAKER_15
transcript.pyannote[30].start 2685.19784375
transcript.pyannote[30].end 2699.17034375
transcript.pyannote[31].speaker SPEAKER_15
transcript.pyannote[31].start 2699.57534375
transcript.pyannote[31].end 2703.33846875
transcript.pyannote[32].speaker SPEAKER_15
transcript.pyannote[32].start 2703.72659375
transcript.pyannote[32].end 2712.83909375
transcript.pyannote[33].speaker SPEAKER_15
transcript.pyannote[33].start 2713.36221875
transcript.pyannote[33].end 2719.89284375
transcript.pyannote[34].speaker SPEAKER_15
transcript.pyannote[34].start 2720.17971875
transcript.pyannote[34].end 2721.90096875
transcript.pyannote[35].speaker SPEAKER_15
transcript.pyannote[35].start 2722.15409375
transcript.pyannote[35].end 2727.85784375
transcript.pyannote[36].speaker SPEAKER_15
transcript.pyannote[36].start 2728.12784375
transcript.pyannote[36].end 2729.51159375
transcript.pyannote[37].speaker SPEAKER_15
transcript.pyannote[37].start 2730.52409375
transcript.pyannote[37].end 2732.32971875
transcript.pyannote[38].speaker SPEAKER_15
transcript.pyannote[38].start 2732.53221875
transcript.pyannote[38].end 2739.63659375
transcript.pyannote[39].speaker SPEAKER_15
transcript.pyannote[39].start 2739.83909375
transcript.pyannote[39].end 2759.46471875
transcript.pyannote[40].speaker SPEAKER_15
transcript.pyannote[40].start 2759.66721875
transcript.pyannote[40].end 2778.34784375
transcript.pyannote[41].speaker SPEAKER_15
transcript.pyannote[41].start 2778.75284375
transcript.pyannote[41].end 2786.24534375
transcript.pyannote[42].speaker SPEAKER_15
transcript.pyannote[42].start 2786.58284375
transcript.pyannote[42].end 2792.28659375
transcript.pyannote[43].speaker SPEAKER_15
transcript.pyannote[43].start 2792.70846875
transcript.pyannote[43].end 2794.66596875
transcript.pyannote[44].speaker SPEAKER_15
transcript.pyannote[44].start 2794.69971875
transcript.pyannote[44].end 2799.67784375
transcript.pyannote[45].speaker SPEAKER_15
transcript.pyannote[45].start 2799.72846875
transcript.pyannote[45].end 2802.17534375
transcript.pyannote[46].speaker SPEAKER_15
transcript.pyannote[46].start 2802.39471875
transcript.pyannote[46].end 2805.98909375
transcript.pyannote[47].speaker SPEAKER_15
transcript.pyannote[47].start 2806.52909375
transcript.pyannote[47].end 2812.57034375
transcript.pyannote[48].speaker SPEAKER_15
transcript.pyannote[48].start 2812.85721875
transcript.pyannote[48].end 2819.48909375
transcript.pyannote[49].speaker SPEAKER_15
transcript.pyannote[49].start 2819.80971875
transcript.pyannote[49].end 2822.10471875
transcript.pyannote[50].speaker SPEAKER_15
transcript.pyannote[50].start 2822.66159375
transcript.pyannote[50].end 2830.01909375
transcript.pyannote[51].speaker SPEAKER_15
transcript.pyannote[51].start 2830.35659375
transcript.pyannote[51].end 2841.03846875
transcript.pyannote[52].speaker SPEAKER_14
transcript.pyannote[52].start 2843.50221875
transcript.pyannote[52].end 2849.07096875
transcript.pyannote[53].speaker SPEAKER_14
transcript.pyannote[53].start 2851.72034375
transcript.pyannote[53].end 2852.07471875
transcript.pyannote[54].speaker SPEAKER_14
transcript.pyannote[54].start 2854.67346875
transcript.pyannote[54].end 2856.64784375
transcript.pyannote[55].speaker SPEAKER_25
transcript.pyannote[55].start 2872.59471875
transcript.pyannote[55].end 2873.11784375
transcript.pyannote[56].speaker SPEAKER_25
transcript.pyannote[56].start 2874.51846875
transcript.pyannote[56].end 2877.82596875
transcript.pyannote[57].speaker SPEAKER_25
transcript.pyannote[57].start 2878.68659375
transcript.pyannote[57].end 2879.83409375
transcript.pyannote[58].speaker SPEAKER_25
transcript.pyannote[58].start 2879.96909375
transcript.pyannote[58].end 2880.13784375
transcript.pyannote[59].speaker SPEAKER_25
transcript.pyannote[59].start 2880.17159375
transcript.pyannote[59].end 2889.84096875
transcript.pyannote[60].speaker SPEAKER_25
transcript.pyannote[60].start 2890.56659375
transcript.pyannote[60].end 2899.51034375
transcript.pyannote[61].speaker SPEAKER_25
transcript.pyannote[61].start 2900.53971875
transcript.pyannote[61].end 2905.56846875
transcript.pyannote[62].speaker SPEAKER_25
transcript.pyannote[62].start 2905.70346875
transcript.pyannote[62].end 2917.34721875
transcript.pyannote[63].speaker SPEAKER_25
transcript.pyannote[63].start 2917.93784375
transcript.pyannote[63].end 2919.40596875
transcript.pyannote[64].speaker SPEAKER_25
transcript.pyannote[64].start 2920.31721875
transcript.pyannote[64].end 2921.61659375
transcript.pyannote[65].speaker SPEAKER_25
transcript.pyannote[65].start 2921.97096875
transcript.pyannote[65].end 2924.45159375
transcript.pyannote[66].speaker SPEAKER_25
transcript.pyannote[66].start 2924.67096875
transcript.pyannote[66].end 2925.26159375
transcript.pyannote[67].speaker SPEAKER_25
transcript.pyannote[67].start 2925.63284375
transcript.pyannote[67].end 2930.83034375
transcript.pyannote[68].speaker SPEAKER_25
transcript.pyannote[68].start 2931.37034375
transcript.pyannote[68].end 2941.90034375
transcript.pyannote[69].speaker SPEAKER_25
transcript.pyannote[69].start 2942.20409375
transcript.pyannote[69].end 2942.59221875
transcript.pyannote[70].speaker SPEAKER_25
transcript.pyannote[70].start 2943.95909375
transcript.pyannote[70].end 2948.56596875
transcript.pyannote[71].speaker SPEAKER_25
transcript.pyannote[71].start 2948.61659375
transcript.pyannote[71].end 2951.75534375
transcript.pyannote[72].speaker SPEAKER_25
transcript.pyannote[72].start 2951.97471875
transcript.pyannote[72].end 2981.26971875
transcript.pyannote[73].speaker SPEAKER_25
transcript.pyannote[73].start 2982.06284375
transcript.pyannote[73].end 2988.64409375
transcript.pyannote[74].speaker SPEAKER_25
transcript.pyannote[74].start 2989.01534375
transcript.pyannote[74].end 2994.75284375
transcript.pyannote[75].speaker SPEAKER_25
transcript.pyannote[75].start 2995.17471875
transcript.pyannote[75].end 2999.07284375
transcript.pyannote[76].speaker SPEAKER_25
transcript.pyannote[76].start 2999.20784375
transcript.pyannote[76].end 3002.65034375
transcript.pyannote[77].speaker SPEAKER_25
transcript.pyannote[77].start 3002.97096875
transcript.pyannote[77].end 3003.84846875
transcript.pyannote[78].speaker SPEAKER_25
transcript.pyannote[78].start 3004.13534375
transcript.pyannote[78].end 3007.24034375
transcript.pyannote[79].speaker SPEAKER_25
transcript.pyannote[79].start 3007.45971875
transcript.pyannote[79].end 3024.41909375
transcript.pyannote[80].speaker SPEAKER_25
transcript.pyannote[80].start 3024.87471875
transcript.pyannote[80].end 3028.13159375
transcript.pyannote[81].speaker SPEAKER_25
transcript.pyannote[81].start 3028.38471875
transcript.pyannote[81].end 3045.20909375
transcript.pyannote[82].speaker SPEAKER_14
transcript.pyannote[82].start 3047.45346875
transcript.pyannote[82].end 3050.71034375
transcript.pyannote[83].speaker SPEAKER_14
transcript.pyannote[83].start 3051.23346875
transcript.pyannote[83].end 3052.21221875
transcript.pyannote[84].speaker SPEAKER_14
transcript.pyannote[84].start 3053.22471875
transcript.pyannote[84].end 3053.93346875
transcript.pyannote[85].speaker SPEAKER_14
transcript.pyannote[85].start 3054.49034375
transcript.pyannote[85].end 3055.23284375
transcript.pyannote[86].speaker SPEAKER_14
transcript.pyannote[86].start 3055.87409375
transcript.pyannote[86].end 3056.80221875
transcript.pyannote[87].speaker SPEAKER_14
transcript.pyannote[87].start 3057.22409375
transcript.pyannote[87].end 3058.38846875
transcript.pyannote[88].speaker SPEAKER_14
transcript.pyannote[88].start 3058.72596875
transcript.pyannote[88].end 3061.25721875
transcript.pyannote[89].speaker SPEAKER_14
transcript.pyannote[89].start 3061.42596875
transcript.pyannote[89].end 3073.55909375
transcript.pyannote[90].speaker SPEAKER_14
transcript.pyannote[90].start 3075.17909375
transcript.pyannote[90].end 3076.05659375
transcript.pyannote[91].speaker SPEAKER_14
transcript.pyannote[91].start 3076.91721875
transcript.pyannote[91].end 3101.52096875
transcript.pyannote[92].speaker SPEAKER_14
transcript.pyannote[92].start 3102.34784375
transcript.pyannote[92].end 3109.24971875
transcript.pyannote[93].speaker SPEAKER_14
transcript.pyannote[93].start 3109.53659375
transcript.pyannote[93].end 3109.62096875
transcript.pyannote[94].speaker SPEAKER_14
transcript.pyannote[94].start 3109.89096875
transcript.pyannote[94].end 3124.65659375
transcript.pyannote[95].speaker SPEAKER_14
transcript.pyannote[95].start 3124.90971875
transcript.pyannote[95].end 3126.19221875
transcript.pyannote[96].speaker SPEAKER_14
transcript.pyannote[96].start 3127.15409375
transcript.pyannote[96].end 3127.50846875
transcript.pyannote[97].speaker SPEAKER_14
transcript.pyannote[97].start 3127.98096875
transcript.pyannote[97].end 3133.73534375
transcript.pyannote[98].speaker SPEAKER_14
transcript.pyannote[98].start 3134.07284375
transcript.pyannote[98].end 3139.52346875
transcript.pyannote[99].speaker SPEAKER_14
transcript.pyannote[99].start 3140.33346875
transcript.pyannote[99].end 3141.39659375
transcript.pyannote[100].speaker SPEAKER_14
transcript.pyannote[100].start 3142.47659375
transcript.pyannote[100].end 3152.77034375
transcript.pyannote[101].speaker SPEAKER_14
transcript.pyannote[101].start 3153.79971875
transcript.pyannote[101].end 3173.59409375
transcript.pyannote[102].speaker SPEAKER_20
transcript.pyannote[102].start 3184.64721875
transcript.pyannote[102].end 3223.25721875
transcript.pyannote[103].speaker SPEAKER_20
transcript.pyannote[103].start 3223.29096875
transcript.pyannote[103].end 3224.72534375
transcript.pyannote[104].speaker SPEAKER_20
transcript.pyannote[104].start 3224.91096875
transcript.pyannote[104].end 3249.19409375
transcript.pyannote[105].speaker SPEAKER_20
transcript.pyannote[105].start 3250.10534375
transcript.pyannote[105].end 3252.14721875
transcript.pyannote[106].speaker SPEAKER_20
transcript.pyannote[106].start 3252.85596875
transcript.pyannote[106].end 3277.88159375
transcript.pyannote[107].speaker SPEAKER_20
transcript.pyannote[107].start 3278.87721875
transcript.pyannote[107].end 3282.77534375
transcript.pyannote[108].speaker SPEAKER_20
transcript.pyannote[108].start 3283.18034375
transcript.pyannote[108].end 3285.76221875
transcript.pyannote[109].speaker SPEAKER_20
transcript.pyannote[109].start 3287.07846875
transcript.pyannote[109].end 3306.68721875
transcript.pyannote[110].speaker SPEAKER_20
transcript.pyannote[110].start 3307.27784375
transcript.pyannote[110].end 3314.48346875
transcript.pyannote[111].speaker SPEAKER_20
transcript.pyannote[111].start 3315.69846875
transcript.pyannote[111].end 3324.01784375
transcript.pyannote[112].speaker SPEAKER_20
transcript.pyannote[112].start 3324.49034375
transcript.pyannote[112].end 3341.04471875
transcript.pyannote[113].speaker SPEAKER_20
transcript.pyannote[113].start 3341.36534375
transcript.pyannote[113].end 3348.68909375
transcript.pyannote[114].speaker SPEAKER_20
transcript.pyannote[114].start 3349.11096875
transcript.pyannote[114].end 3352.40159375
transcript.pyannote[115].speaker SPEAKER_20
transcript.pyannote[115].start 3353.02596875
transcript.pyannote[115].end 3353.66721875
transcript.pyannote[116].speaker SPEAKER_20
transcript.pyannote[116].start 3354.34221875
transcript.pyannote[116].end 3360.77159375
transcript.pyannote[117].speaker SPEAKER_20
transcript.pyannote[117].start 3361.34534375
transcript.pyannote[117].end 3366.74534375
transcript.pyannote[118].speaker SPEAKER_20
transcript.pyannote[118].start 3367.42034375
transcript.pyannote[118].end 3368.63534375
transcript.pyannote[119].speaker SPEAKER_20
transcript.pyannote[119].start 3369.32721875
transcript.pyannote[119].end 3372.22971875
transcript.pyannote[120].speaker SPEAKER_20
transcript.pyannote[120].start 3372.39846875
transcript.pyannote[120].end 3401.99721875
transcript.pyannote[121].speaker SPEAKER_20
transcript.pyannote[121].start 3402.63846875
transcript.pyannote[121].end 3417.38721875
transcript.pyannote[122].speaker SPEAKER_20
transcript.pyannote[122].start 3418.83846875
transcript.pyannote[122].end 3433.48596875
transcript.pyannote[123].speaker SPEAKER_20
transcript.pyannote[123].start 3433.90784375
transcript.pyannote[123].end 3439.47659375
transcript.pyannote[124].speaker SPEAKER_20
transcript.pyannote[124].start 3440.01659375
transcript.pyannote[124].end 3440.77596875
transcript.pyannote[125].speaker SPEAKER_20
transcript.pyannote[125].start 3441.75471875
transcript.pyannote[125].end 3443.02034375
transcript.pyannote[126].speaker SPEAKER_20
transcript.pyannote[126].start 3443.74596875
transcript.pyannote[126].end 3457.22909375
transcript.pyannote[127].speaker SPEAKER_20
transcript.pyannote[127].start 3457.54971875
transcript.pyannote[127].end 3460.87409375
transcript.pyannote[128].speaker SPEAKER_20
transcript.pyannote[128].start 3461.38034375
transcript.pyannote[128].end 3495.18096875
transcript.pyannote[129].speaker SPEAKER_20
transcript.pyannote[129].start 3495.29909375
transcript.pyannote[129].end 3501.13784375
transcript.pyannote[130].speaker SPEAKER_20
transcript.pyannote[130].start 3501.74534375
transcript.pyannote[130].end 3515.21159375
transcript.pyannote[131].speaker SPEAKER_20
transcript.pyannote[131].start 3515.80221875
transcript.pyannote[131].end 3528.55971875
transcript.pyannote[132].speaker SPEAKER_20
transcript.pyannote[132].start 3529.21784375
transcript.pyannote[132].end 3547.29096875
transcript.pyannote[133].speaker SPEAKER_20
transcript.pyannote[133].start 3547.84784375
transcript.pyannote[133].end 3549.85596875
transcript.pyannote[134].speaker SPEAKER_20
transcript.pyannote[134].start 3550.31159375
transcript.pyannote[134].end 3556.28534375
transcript.pyannote[135].speaker SPEAKER_14
transcript.pyannote[135].start 3557.44971875
transcript.pyannote[135].end 3565.48221875
transcript.pyannote[136].speaker SPEAKER_14
transcript.pyannote[136].start 3566.17409375
transcript.pyannote[136].end 3572.90721875
transcript.pyannote[137].speaker SPEAKER_14
transcript.pyannote[137].start 3573.56534375
transcript.pyannote[137].end 3581.69909375
transcript.pyannote[138].speaker SPEAKER_14
transcript.pyannote[138].start 3582.08721875
transcript.pyannote[138].end 3591.30096875
transcript.pyannote[139].speaker SPEAKER_14
transcript.pyannote[139].start 3591.97596875
transcript.pyannote[139].end 3596.36346875
transcript.pyannote[140].speaker SPEAKER_14
transcript.pyannote[140].start 3597.46034375
transcript.pyannote[140].end 3599.50221875
transcript.pyannote[141].speaker SPEAKER_14
transcript.pyannote[141].start 3600.26159375
transcript.pyannote[141].end 3600.80159375
transcript.pyannote[142].speaker SPEAKER_14
transcript.pyannote[142].start 3601.35846875
transcript.pyannote[142].end 3606.03284375
transcript.pyannote[143].speaker SPEAKER_14
transcript.pyannote[143].start 3606.57284375
transcript.pyannote[143].end 3616.73159375
transcript.pyannote[144].speaker SPEAKER_14
transcript.pyannote[144].start 3616.96784375
transcript.pyannote[144].end 3617.69346875
transcript.pyannote[145].speaker SPEAKER_14
transcript.pyannote[145].start 3618.45284375
transcript.pyannote[145].end 3622.51971875
transcript.pyannote[146].speaker SPEAKER_14
transcript.pyannote[146].start 3622.87409375
transcript.pyannote[146].end 3633.30284375
transcript.pyannote[147].speaker SPEAKER_14
transcript.pyannote[147].start 3633.67409375
transcript.pyannote[147].end 3644.86221875
transcript.pyannote[148].speaker SPEAKER_14
transcript.pyannote[148].start 3645.19971875
transcript.pyannote[148].end 3652.10159375
transcript.pyannote[149].speaker SPEAKER_14
transcript.pyannote[149].start 3653.38409375
transcript.pyannote[149].end 3655.71284375
transcript.pyannote[150].speaker SPEAKER_14
transcript.pyannote[150].start 3656.97846875
transcript.pyannote[150].end 3667.01909375
transcript.pyannote[151].speaker SPEAKER_14
transcript.pyannote[151].start 3667.33971875
transcript.pyannote[151].end 3668.13284375
transcript.pyannote[152].speaker SPEAKER_14
transcript.pyannote[152].start 3668.55471875
transcript.pyannote[152].end 3671.23784375
transcript.pyannote[153].speaker SPEAKER_14
transcript.pyannote[153].start 3672.25034375
transcript.pyannote[153].end 3674.59596875
transcript.pyannote[154].speaker SPEAKER_14
transcript.pyannote[154].start 3675.27096875
transcript.pyannote[154].end 3675.86159375
transcript.pyannote[155].speaker SPEAKER_14
transcript.pyannote[155].start 3677.00909375
transcript.pyannote[155].end 3684.67034375
transcript.pyannote[156].speaker SPEAKER_14
transcript.pyannote[156].start 3685.44659375
transcript.pyannote[156].end 3704.88659375
transcript.pyannote[157].speaker SPEAKER_14
transcript.pyannote[157].start 3705.39284375
transcript.pyannote[157].end 3731.19471875
transcript.pyannote[158].speaker SPEAKER_14
transcript.pyannote[158].start 3731.49846875
transcript.pyannote[158].end 3732.02159375
transcript.pyannote[159].speaker SPEAKER_14
transcript.pyannote[159].start 3733.11846875
transcript.pyannote[159].end 3738.26534375
transcript.pyannote[160].speaker SPEAKER_14
transcript.pyannote[160].start 3739.26096875
transcript.pyannote[160].end 3748.59284375
transcript.pyannote[161].speaker SPEAKER_36
transcript.pyannote[161].start 3752.96346875
transcript.pyannote[161].end 3792.99096875
transcript.pyannote[162].speaker SPEAKER_36
transcript.pyannote[162].start 3794.37471875
transcript.pyannote[162].end 3827.02784375
transcript.pyannote[163].speaker SPEAKER_36
transcript.pyannote[163].start 3827.56784375
transcript.pyannote[163].end 3830.25096875
transcript.pyannote[164].speaker SPEAKER_36
transcript.pyannote[164].start 3830.57159375
transcript.pyannote[164].end 3832.00596875
transcript.pyannote[165].speaker SPEAKER_36
transcript.pyannote[165].start 3832.46159375
transcript.pyannote[165].end 3833.28846875
transcript.pyannote[166].speaker SPEAKER_36
transcript.pyannote[166].start 3833.65971875
transcript.pyannote[166].end 3837.23721875
transcript.pyannote[167].speaker SPEAKER_36
transcript.pyannote[167].start 3837.55784375
transcript.pyannote[167].end 3861.63846875
transcript.pyannote[168].speaker SPEAKER_36
transcript.pyannote[168].start 3861.92534375
transcript.pyannote[168].end 3866.59971875
transcript.pyannote[169].speaker SPEAKER_36
transcript.pyannote[169].start 3866.73471875
transcript.pyannote[169].end 3869.28284375
transcript.pyannote[170].speaker SPEAKER_36
transcript.pyannote[170].start 3869.46846875
transcript.pyannote[170].end 3878.04096875
transcript.pyannote[171].speaker SPEAKER_36
transcript.pyannote[171].start 3878.39534375
transcript.pyannote[171].end 3895.74284375
transcript.pyannote[172].speaker SPEAKER_36
transcript.pyannote[172].start 3896.38409375
transcript.pyannote[172].end 3920.14409375
transcript.pyannote[173].speaker SPEAKER_36
transcript.pyannote[173].start 3920.43096875
transcript.pyannote[173].end 3927.09659375
transcript.pyannote[174].speaker SPEAKER_36
transcript.pyannote[174].start 3927.24846875
transcript.pyannote[174].end 3931.56846875
transcript.pyannote[175].speaker SPEAKER_36
transcript.pyannote[175].start 3931.82159375
transcript.pyannote[175].end 3980.64096875
transcript.pyannote[176].speaker SPEAKER_14
transcript.pyannote[176].start 3981.78846875
transcript.pyannote[176].end 3985.33221875
transcript.pyannote[177].speaker SPEAKER_14
transcript.pyannote[177].start 3985.61909375
transcript.pyannote[177].end 3988.43721875
transcript.pyannote[178].speaker SPEAKER_27
transcript.pyannote[178].start 3997.00971875
transcript.pyannote[178].end 3999.01784375
transcript.pyannote[179].speaker SPEAKER_27
transcript.pyannote[179].start 4000.23284375
transcript.pyannote[179].end 4003.32096875
transcript.pyannote[180].speaker SPEAKER_27
transcript.pyannote[180].start 4003.99596875
transcript.pyannote[180].end 4014.74534375
transcript.pyannote[181].speaker SPEAKER_27
transcript.pyannote[181].start 4015.04909375
transcript.pyannote[181].end 4023.31784375
transcript.pyannote[182].speaker SPEAKER_27
transcript.pyannote[182].start 4024.16159375
transcript.pyannote[182].end 4027.73909375
transcript.pyannote[183].speaker SPEAKER_27
transcript.pyannote[183].start 4028.14409375
transcript.pyannote[183].end 4035.63659375
transcript.pyannote[184].speaker SPEAKER_27
transcript.pyannote[184].start 4036.27784375
transcript.pyannote[184].end 4038.20159375
transcript.pyannote[185].speaker SPEAKER_27
transcript.pyannote[185].start 4038.65721875
transcript.pyannote[185].end 4064.22284375
transcript.pyannote[186].speaker SPEAKER_14
transcript.pyannote[186].start 4067.96909375
transcript.pyannote[186].end 4068.32346875
transcript.pyannote[187].speaker SPEAKER_14
transcript.pyannote[187].start 4068.89721875
transcript.pyannote[187].end 4069.69034375
transcript.pyannote[188].speaker SPEAKER_14
transcript.pyannote[188].start 4070.12909375
transcript.pyannote[188].end 4071.15846875
transcript.pyannote[189].speaker SPEAKER_14
transcript.pyannote[189].start 4071.61409375
transcript.pyannote[189].end 4075.44471875
transcript.pyannote[190].speaker SPEAKER_14
transcript.pyannote[190].start 4075.74846875
transcript.pyannote[190].end 4077.28409375
transcript.pyannote[191].speaker SPEAKER_14
transcript.pyannote[191].start 4080.01784375
transcript.pyannote[191].end 4083.00471875
transcript.pyannote[192].speaker SPEAKER_14
transcript.pyannote[192].start 4083.15659375
transcript.pyannote[192].end 4089.26534375
transcript.pyannote[193].speaker SPEAKER_14
transcript.pyannote[193].start 4089.90659375
transcript.pyannote[193].end 4104.53721875
transcript.pyannote[194].speaker SPEAKER_27
transcript.pyannote[194].start 4104.53721875
transcript.pyannote[194].end 4120.43346875
transcript.pyannote[195].speaker SPEAKER_14
transcript.pyannote[195].start 4105.92096875
transcript.pyannote[195].end 4106.37659375
transcript.pyannote[196].speaker SPEAKER_11
transcript.pyannote[196].start 4111.57409375
transcript.pyannote[196].end 4111.69221875
transcript.pyannote[197].speaker SPEAKER_27
transcript.pyannote[197].start 4120.80471875
transcript.pyannote[197].end 4129.30971875
transcript.pyannote[198].speaker SPEAKER_27
transcript.pyannote[198].start 4129.81596875
transcript.pyannote[198].end 4164.57846875
transcript.pyannote[199].speaker SPEAKER_14
transcript.pyannote[199].start 4168.40909375
transcript.pyannote[199].end 4168.71284375
transcript.pyannote[200].speaker SPEAKER_14
transcript.pyannote[200].start 4168.94909375
transcript.pyannote[200].end 4169.57346875
transcript.pyannote[201].speaker SPEAKER_14
transcript.pyannote[201].start 4170.02909375
transcript.pyannote[201].end 4170.65346875
transcript.pyannote[202].speaker SPEAKER_14
transcript.pyannote[202].start 4171.39596875
transcript.pyannote[202].end 4173.96096875
transcript.pyannote[203].speaker SPEAKER_14
transcript.pyannote[203].start 4174.26471875
transcript.pyannote[203].end 4180.33971875
transcript.pyannote[204].speaker SPEAKER_14
transcript.pyannote[204].start 4180.47471875
transcript.pyannote[204].end 4190.05971875
transcript.pyannote[205].speaker SPEAKER_19
transcript.pyannote[205].start 4194.41346875
transcript.pyannote[205].end 4202.14221875
transcript.pyannote[206].speaker SPEAKER_19
transcript.pyannote[206].start 4202.46284375
transcript.pyannote[206].end 4206.49596875
transcript.pyannote[207].speaker SPEAKER_19
transcript.pyannote[207].start 4206.83346875
transcript.pyannote[207].end 4210.32659375
transcript.pyannote[208].speaker SPEAKER_19
transcript.pyannote[208].start 4210.84971875
transcript.pyannote[208].end 4212.60471875
transcript.pyannote[209].speaker SPEAKER_19
transcript.pyannote[209].start 4212.82409375
transcript.pyannote[209].end 4222.34159375
transcript.pyannote[210].speaker SPEAKER_19
transcript.pyannote[210].start 4222.52721875
transcript.pyannote[210].end 4225.26096875
transcript.pyannote[211].speaker SPEAKER_19
transcript.pyannote[211].start 4225.80096875
transcript.pyannote[211].end 4230.57659375
transcript.pyannote[212].speaker SPEAKER_19
transcript.pyannote[212].start 4230.82971875
transcript.pyannote[212].end 4232.93909375
transcript.pyannote[213].speaker SPEAKER_19
transcript.pyannote[213].start 4233.27659375
transcript.pyannote[213].end 4236.98909375
transcript.pyannote[214].speaker SPEAKER_19
transcript.pyannote[214].start 4237.42784375
transcript.pyannote[214].end 4247.75534375
transcript.pyannote[215].speaker SPEAKER_19
transcript.pyannote[215].start 4247.87346875
transcript.pyannote[215].end 4281.08346875
transcript.pyannote[216].speaker SPEAKER_19
transcript.pyannote[216].start 4281.23534375
transcript.pyannote[216].end 4285.77471875
transcript.pyannote[217].speaker SPEAKER_14
transcript.pyannote[217].start 4286.51721875
transcript.pyannote[217].end 4288.71096875
transcript.pyannote[218].speaker SPEAKER_14
transcript.pyannote[218].start 4289.45346875
transcript.pyannote[218].end 4291.12409375
transcript.pyannote[219].speaker SPEAKER_27
transcript.pyannote[219].start 4297.68846875
transcript.pyannote[219].end 4316.41971875
transcript.pyannote[220].speaker SPEAKER_24
transcript.pyannote[220].start 4317.85409375
transcript.pyannote[220].end 4317.87096875
transcript.pyannote[221].speaker SPEAKER_14
transcript.pyannote[221].start 4317.87096875
transcript.pyannote[221].end 4331.99534375
transcript.pyannote[222].speaker SPEAKER_14
transcript.pyannote[222].start 4332.97409375
transcript.pyannote[222].end 4339.57221875
transcript.pyannote[223].speaker SPEAKER_15
transcript.pyannote[223].start 4341.88409375
transcript.pyannote[223].end 4348.24596875
transcript.pyannote[224].speaker SPEAKER_15
transcript.pyannote[224].start 4348.33034375
transcript.pyannote[224].end 4353.10596875
transcript.pyannote[225].speaker SPEAKER_15
transcript.pyannote[225].start 4353.44346875
transcript.pyannote[225].end 4358.32034375
transcript.pyannote[226].speaker SPEAKER_15
transcript.pyannote[226].start 4358.48909375
transcript.pyannote[226].end 4361.61096875
transcript.pyannote[227].speaker SPEAKER_15
transcript.pyannote[227].start 4361.88096875
transcript.pyannote[227].end 4369.17096875
transcript.pyannote[228].speaker SPEAKER_15
transcript.pyannote[228].start 4369.81221875
transcript.pyannote[228].end 4372.07346875
transcript.pyannote[229].speaker SPEAKER_15
transcript.pyannote[229].start 4372.20846875
transcript.pyannote[229].end 4384.29096875
transcript.pyannote[230].speaker SPEAKER_15
transcript.pyannote[230].start 4384.67909375
transcript.pyannote[230].end 4388.83034375
transcript.pyannote[231].speaker SPEAKER_15
transcript.pyannote[231].start 4389.10034375
transcript.pyannote[231].end 4392.30659375
transcript.pyannote[232].speaker SPEAKER_15
transcript.pyannote[232].start 4392.82971875
transcript.pyannote[232].end 4393.47096875
transcript.pyannote[233].speaker SPEAKER_14
transcript.pyannote[233].start 4394.02784375
transcript.pyannote[233].end 4394.04471875
transcript.pyannote[234].speaker SPEAKER_15
transcript.pyannote[234].start 4394.04471875
transcript.pyannote[234].end 4394.26409375
transcript.pyannote[235].speaker SPEAKER_14
transcript.pyannote[235].start 4394.26409375
transcript.pyannote[235].end 4397.67284375
transcript.pyannote[236].speaker SPEAKER_14
transcript.pyannote[236].start 4397.89221875
transcript.pyannote[236].end 4402.11096875
transcript.pyannote[237].speaker SPEAKER_14
transcript.pyannote[237].start 4403.44409375
transcript.pyannote[237].end 4404.30471875
transcript.pyannote[238].speaker SPEAKER_14
transcript.pyannote[238].start 4404.60846875
transcript.pyannote[238].end 4406.85284375
transcript.pyannote[239].speaker SPEAKER_14
transcript.pyannote[239].start 4409.08034375
transcript.pyannote[239].end 4414.21034375
transcript.pyannote[240].speaker SPEAKER_24
transcript.pyannote[240].start 4416.94409375
transcript.pyannote[240].end 4417.36596875
transcript.pyannote[241].speaker SPEAKER_24
transcript.pyannote[241].start 4417.73721875
transcript.pyannote[241].end 4417.99034375
transcript.pyannote[242].speaker SPEAKER_37
transcript.pyannote[242].start 4421.43284375
transcript.pyannote[242].end 4421.44971875
transcript.pyannote[243].speaker SPEAKER_14
transcript.pyannote[243].start 4421.44971875
transcript.pyannote[243].end 4433.48159375
transcript.pyannote[244].speaker SPEAKER_14
transcript.pyannote[244].start 4438.24034375
transcript.pyannote[244].end 4439.84346875
transcript.pyannote[245].speaker SPEAKER_14
transcript.pyannote[245].start 4439.91096875
transcript.pyannote[245].end 4452.04409375
transcript.pyannote[246].speaker SPEAKER_14
transcript.pyannote[246].start 4452.87096875
transcript.pyannote[246].end 4454.84534375
transcript.pyannote[247].speaker SPEAKER_14
transcript.pyannote[247].start 4455.60471875
transcript.pyannote[247].end 4458.00096875
transcript.pyannote[248].speaker SPEAKER_14
transcript.pyannote[248].start 4458.47346875
transcript.pyannote[248].end 4460.14409375
transcript.pyannote[249].speaker SPEAKER_14
transcript.pyannote[249].start 4460.31284375
transcript.pyannote[249].end 4479.02721875
transcript.pyannote[250].speaker SPEAKER_14
transcript.pyannote[250].start 4479.46596875
transcript.pyannote[250].end 4482.21659375
transcript.pyannote[251].speaker SPEAKER_14
transcript.pyannote[251].start 4483.70159375
transcript.pyannote[251].end 4484.56221875
transcript.pyannote[252].speaker SPEAKER_14
transcript.pyannote[252].start 4484.95034375
transcript.pyannote[252].end 4488.24096875
transcript.pyannote[253].speaker SPEAKER_15
transcript.pyannote[253].start 4489.92846875
transcript.pyannote[253].end 4495.31159375
transcript.pyannote[254].speaker SPEAKER_15
transcript.pyannote[254].start 4496.56034375
transcript.pyannote[254].end 4502.24721875
transcript.pyannote[255].speaker SPEAKER_15
transcript.pyannote[255].start 4502.66909375
transcript.pyannote[255].end 4509.23346875
transcript.pyannote[256].speaker SPEAKER_14
transcript.pyannote[256].start 4514.36346875
transcript.pyannote[256].end 4524.11721875
transcript.pyannote[257].speaker SPEAKER_14
transcript.pyannote[257].start 4524.53909375
transcript.pyannote[257].end 4535.91284375
transcript.pyannote[258].speaker SPEAKER_14
transcript.pyannote[258].start 4537.38096875
transcript.pyannote[258].end 4539.32159375
transcript.pyannote[259].speaker SPEAKER_06
transcript.pyannote[259].start 4539.91221875
transcript.pyannote[259].end 4540.19909375
transcript.pyannote[260].speaker SPEAKER_14
transcript.pyannote[260].start 4541.39721875
transcript.pyannote[260].end 4545.22784375
transcript.pyannote[261].speaker SPEAKER_14
transcript.pyannote[261].start 4545.34596875
transcript.pyannote[261].end 4552.19721875
transcript.pyannote[262].speaker SPEAKER_14
transcript.pyannote[262].start 4552.90596875
transcript.pyannote[262].end 4562.47409375
transcript.pyannote[263].speaker SPEAKER_14
transcript.pyannote[263].start 4564.39784375
transcript.pyannote[263].end 4575.68721875
transcript.pyannote[264].speaker SPEAKER_14
transcript.pyannote[264].start 4575.78846875
transcript.pyannote[264].end 4583.83784375
transcript.pyannote[265].speaker SPEAKER_14
transcript.pyannote[265].start 4584.02346875
transcript.pyannote[265].end 4584.41159375
transcript.pyannote[266].speaker SPEAKER_14
transcript.pyannote[266].start 4585.72784375
transcript.pyannote[266].end 4587.97221875
transcript.pyannote[267].speaker SPEAKER_14
transcript.pyannote[267].start 4588.39409375
transcript.pyannote[267].end 4592.05596875
transcript.pyannote[268].speaker SPEAKER_18
transcript.pyannote[268].start 4601.32034375
transcript.pyannote[268].end 4605.03284375
transcript.pyannote[269].speaker SPEAKER_18
transcript.pyannote[269].start 4605.13409375
transcript.pyannote[269].end 4606.72034375
transcript.pyannote[270].speaker SPEAKER_18
transcript.pyannote[270].start 4607.36159375
transcript.pyannote[270].end 4613.90909375
transcript.pyannote[271].speaker SPEAKER_18
transcript.pyannote[271].start 4614.29721875
transcript.pyannote[271].end 4617.28409375
transcript.pyannote[272].speaker SPEAKER_18
transcript.pyannote[272].start 4617.67221875
transcript.pyannote[272].end 4621.01346875
transcript.pyannote[273].speaker SPEAKER_18
transcript.pyannote[273].start 4621.45221875
transcript.pyannote[273].end 4624.47284375
transcript.pyannote[274].speaker SPEAKER_18
transcript.pyannote[274].start 4624.86096875
transcript.pyannote[274].end 4631.03721875
transcript.pyannote[275].speaker SPEAKER_18
transcript.pyannote[275].start 4631.91471875
transcript.pyannote[275].end 4635.84659375
transcript.pyannote[276].speaker SPEAKER_18
transcript.pyannote[276].start 4636.62284375
transcript.pyannote[276].end 4637.71971875
transcript.pyannote[277].speaker SPEAKER_18
transcript.pyannote[277].start 4638.04034375
transcript.pyannote[277].end 4642.39409375
transcript.pyannote[278].speaker SPEAKER_18
transcript.pyannote[278].start 4642.66409375
transcript.pyannote[278].end 4644.03096875
transcript.pyannote[279].speaker SPEAKER_18
transcript.pyannote[279].start 4644.36846875
transcript.pyannote[279].end 4647.76034375
transcript.pyannote[280].speaker SPEAKER_18
transcript.pyannote[280].start 4648.62096875
transcript.pyannote[280].end 4649.24534375
transcript.pyannote[281].speaker SPEAKER_18
transcript.pyannote[281].start 4649.39721875
transcript.pyannote[281].end 4650.57846875
transcript.pyannote[282].speaker SPEAKER_18
transcript.pyannote[282].start 4651.00034375
transcript.pyannote[282].end 4654.99971875
transcript.pyannote[283].speaker SPEAKER_18
transcript.pyannote[283].start 4655.57346875
transcript.pyannote[283].end 4657.24409375
transcript.pyannote[284].speaker SPEAKER_18
transcript.pyannote[284].start 4657.31159375
transcript.pyannote[284].end 4658.91471875
transcript.pyannote[285].speaker SPEAKER_18
transcript.pyannote[285].start 4659.10034375
transcript.pyannote[285].end 4660.85534375
transcript.pyannote[286].speaker SPEAKER_18
transcript.pyannote[286].start 4661.17596875
transcript.pyannote[286].end 4663.94346875
transcript.pyannote[287].speaker SPEAKER_18
transcript.pyannote[287].start 4664.66909375
transcript.pyannote[287].end 4668.38159375
transcript.pyannote[288].speaker SPEAKER_18
transcript.pyannote[288].start 4668.56721875
transcript.pyannote[288].end 4669.52909375
transcript.pyannote[289].speaker SPEAKER_18
transcript.pyannote[289].start 4669.96784375
transcript.pyannote[289].end 4673.00534375
transcript.pyannote[290].speaker SPEAKER_18
transcript.pyannote[290].start 4673.46096875
transcript.pyannote[290].end 4674.99659375
transcript.pyannote[291].speaker SPEAKER_18
transcript.pyannote[291].start 4676.97096875
transcript.pyannote[291].end 4678.30409375
transcript.pyannote[292].speaker SPEAKER_18
transcript.pyannote[292].start 4678.43909375
transcript.pyannote[292].end 4680.75096875
transcript.pyannote[293].speaker SPEAKER_18
transcript.pyannote[293].start 4681.37534375
transcript.pyannote[293].end 4683.23159375
transcript.pyannote[294].speaker SPEAKER_18
transcript.pyannote[294].start 4683.61971875
transcript.pyannote[294].end 4686.10034375
transcript.pyannote[295].speaker SPEAKER_18
transcript.pyannote[295].start 4686.28596875
transcript.pyannote[295].end 4690.11659375
transcript.pyannote[296].speaker SPEAKER_18
transcript.pyannote[296].start 4690.53846875
transcript.pyannote[296].end 4691.39909375
transcript.pyannote[297].speaker SPEAKER_18
transcript.pyannote[297].start 4692.14159375
transcript.pyannote[297].end 4695.02721875
transcript.pyannote[298].speaker SPEAKER_18
transcript.pyannote[298].start 4695.46596875
transcript.pyannote[298].end 4696.73159375
transcript.pyannote[299].speaker SPEAKER_18
transcript.pyannote[299].start 4697.62596875
transcript.pyannote[299].end 4698.75659375
transcript.pyannote[300].speaker SPEAKER_18
transcript.pyannote[300].start 4699.14471875
transcript.pyannote[300].end 4700.79846875
transcript.pyannote[301].speaker SPEAKER_18
transcript.pyannote[301].start 4701.92909375
transcript.pyannote[301].end 4702.60409375
transcript.pyannote[302].speaker SPEAKER_18
transcript.pyannote[302].start 4703.05971875
transcript.pyannote[302].end 4704.69659375
transcript.pyannote[303].speaker SPEAKER_18
transcript.pyannote[303].start 4705.05096875
transcript.pyannote[303].end 4706.53596875
transcript.pyannote[304].speaker SPEAKER_18
transcript.pyannote[304].start 4706.89034375
transcript.pyannote[304].end 4711.51409375
transcript.pyannote[305].speaker SPEAKER_18
transcript.pyannote[305].start 4711.73346875
transcript.pyannote[305].end 4715.37846875
transcript.pyannote[306].speaker SPEAKER_18
transcript.pyannote[306].start 4715.95221875
transcript.pyannote[306].end 4721.92596875
transcript.pyannote[307].speaker SPEAKER_18
transcript.pyannote[307].start 4722.75284375
transcript.pyannote[307].end 4723.63034375
transcript.pyannote[308].speaker SPEAKER_18
transcript.pyannote[308].start 4724.15346875
transcript.pyannote[308].end 4725.28409375
transcript.pyannote[309].speaker SPEAKER_18
transcript.pyannote[309].start 4726.46534375
transcript.pyannote[309].end 4727.32596875
transcript.pyannote[310].speaker SPEAKER_18
transcript.pyannote[310].start 4727.88284375
transcript.pyannote[310].end 4731.79784375
transcript.pyannote[311].speaker SPEAKER_18
transcript.pyannote[311].start 4732.27034375
transcript.pyannote[311].end 4735.02096875
transcript.pyannote[312].speaker SPEAKER_18
transcript.pyannote[312].start 4737.67034375
transcript.pyannote[312].end 4738.73346875
transcript.pyannote[313].speaker SPEAKER_18
transcript.pyannote[313].start 4740.23534375
transcript.pyannote[313].end 4746.88409375
transcript.pyannote[314].speaker SPEAKER_18
transcript.pyannote[314].start 4747.86284375
transcript.pyannote[314].end 4750.37721875
transcript.pyannote[315].speaker SPEAKER_18
transcript.pyannote[315].start 4750.91721875
transcript.pyannote[315].end 4757.58284375
transcript.pyannote[316].speaker SPEAKER_18
transcript.pyannote[316].start 4757.97096875
transcript.pyannote[316].end 4760.45159375
transcript.pyannote[317].speaker SPEAKER_18
transcript.pyannote[317].start 4760.92409375
transcript.pyannote[317].end 4762.18971875
transcript.pyannote[318].speaker SPEAKER_18
transcript.pyannote[318].start 4762.45971875
transcript.pyannote[318].end 4770.15471875
transcript.pyannote[319].speaker SPEAKER_18
transcript.pyannote[319].start 4770.54284375
transcript.pyannote[319].end 4775.03159375
transcript.pyannote[320].speaker SPEAKER_18
transcript.pyannote[320].start 4775.26784375
transcript.pyannote[320].end 4777.44471875
transcript.pyannote[321].speaker SPEAKER_18
transcript.pyannote[321].start 4777.69784375
transcript.pyannote[321].end 4782.23721875
transcript.pyannote[322].speaker SPEAKER_18
transcript.pyannote[322].start 4782.74346875
transcript.pyannote[322].end 4783.70534375
transcript.pyannote[323].speaker SPEAKER_18
transcript.pyannote[323].start 4784.14409375
transcript.pyannote[323].end 4785.44346875
transcript.pyannote[324].speaker SPEAKER_18
transcript.pyannote[324].start 4785.86534375
transcript.pyannote[324].end 4787.38409375
transcript.pyannote[325].speaker SPEAKER_18
transcript.pyannote[325].start 4787.75534375
transcript.pyannote[325].end 4789.51034375
transcript.pyannote[326].speaker SPEAKER_18
transcript.pyannote[326].start 4790.96159375
transcript.pyannote[326].end 4791.77159375
transcript.pyannote[327].speaker SPEAKER_18
transcript.pyannote[327].start 4792.24409375
transcript.pyannote[327].end 4792.98659375
transcript.pyannote[328].speaker SPEAKER_18
transcript.pyannote[328].start 4793.07096875
transcript.pyannote[328].end 4793.88096875
transcript.pyannote[329].speaker SPEAKER_18
transcript.pyannote[329].start 4794.21846875
transcript.pyannote[329].end 4797.61034375
transcript.pyannote[330].speaker SPEAKER_18
transcript.pyannote[330].start 4797.91409375
transcript.pyannote[330].end 4799.26409375
transcript.pyannote[331].speaker SPEAKER_18
transcript.pyannote[331].start 4799.70284375
transcript.pyannote[331].end 4803.61784375
transcript.pyannote[332].speaker SPEAKER_18
transcript.pyannote[332].start 4803.93846875
transcript.pyannote[332].end 4805.62596875
transcript.pyannote[333].speaker SPEAKER_18
transcript.pyannote[333].start 4805.87909375
transcript.pyannote[333].end 4809.06846875
transcript.pyannote[334].speaker SPEAKER_18
transcript.pyannote[334].start 4809.40596875
transcript.pyannote[334].end 4812.27471875
transcript.pyannote[335].speaker SPEAKER_18
transcript.pyannote[335].start 4812.83159375
transcript.pyannote[335].end 4814.51909375
transcript.pyannote[336].speaker SPEAKER_18
transcript.pyannote[336].start 4814.75534375
transcript.pyannote[336].end 4816.47659375
transcript.pyannote[337].speaker SPEAKER_18
transcript.pyannote[337].start 4816.78034375
transcript.pyannote[337].end 4821.72471875
transcript.pyannote[338].speaker SPEAKER_18
transcript.pyannote[338].start 4822.41659375
transcript.pyannote[338].end 4824.25596875
transcript.pyannote[339].speaker SPEAKER_18
transcript.pyannote[339].start 4824.79596875
transcript.pyannote[339].end 4829.58846875
transcript.pyannote[340].speaker SPEAKER_18
transcript.pyannote[340].start 4829.84159375
transcript.pyannote[340].end 4831.61346875
transcript.pyannote[341].speaker SPEAKER_18
transcript.pyannote[341].start 4832.27159375
transcript.pyannote[341].end 4832.84534375
transcript.pyannote[342].speaker SPEAKER_18
transcript.pyannote[342].start 4833.09846875
transcript.pyannote[342].end 4840.50659375
transcript.pyannote[343].speaker SPEAKER_18
transcript.pyannote[343].start 4841.06346875
transcript.pyannote[343].end 4846.22721875
transcript.pyannote[344].speaker SPEAKER_18
transcript.pyannote[344].start 4846.59846875
transcript.pyannote[344].end 4851.93096875
transcript.pyannote[345].speaker SPEAKER_18
transcript.pyannote[345].start 4852.31909375
transcript.pyannote[345].end 4854.54659375
transcript.pyannote[346].speaker SPEAKER_18
transcript.pyannote[346].start 4855.01909375
transcript.pyannote[346].end 4858.41096875
transcript.pyannote[347].speaker SPEAKER_18
transcript.pyannote[347].start 4858.84971875
transcript.pyannote[347].end 4865.12721875
transcript.pyannote[348].speaker SPEAKER_18
transcript.pyannote[348].start 4865.59971875
transcript.pyannote[348].end 4868.21534375
transcript.pyannote[349].speaker SPEAKER_18
transcript.pyannote[349].start 4868.68784375
transcript.pyannote[349].end 4871.03346875
transcript.pyannote[350].speaker SPEAKER_18
transcript.pyannote[350].start 4871.21909375
transcript.pyannote[350].end 4872.58596875
transcript.pyannote[351].speaker SPEAKER_18
transcript.pyannote[351].start 4873.15971875
transcript.pyannote[351].end 4876.77096875
transcript.pyannote[352].speaker SPEAKER_18
transcript.pyannote[352].start 4877.24346875
transcript.pyannote[352].end 4880.56784375
transcript.pyannote[353].speaker SPEAKER_18
transcript.pyannote[353].start 4881.41159375
transcript.pyannote[353].end 4881.95159375
transcript.pyannote[354].speaker SPEAKER_18
transcript.pyannote[354].start 4882.39034375
transcript.pyannote[354].end 4883.89221875
transcript.pyannote[355].speaker SPEAKER_18
transcript.pyannote[355].start 4884.66846875
transcript.pyannote[355].end 4893.22409375
transcript.pyannote[356].speaker SPEAKER_18
transcript.pyannote[356].start 4893.47721875
transcript.pyannote[356].end 4900.68284375
transcript.pyannote[357].speaker SPEAKER_18
transcript.pyannote[357].start 4901.10471875
transcript.pyannote[357].end 4903.58534375
transcript.pyannote[358].speaker SPEAKER_18
transcript.pyannote[358].start 4904.07471875
transcript.pyannote[358].end 4909.72784375
transcript.pyannote[359].speaker SPEAKER_18
transcript.pyannote[359].start 4910.25096875
transcript.pyannote[359].end 4912.93409375
transcript.pyannote[360].speaker SPEAKER_18
transcript.pyannote[360].start 4914.21659375
transcript.pyannote[360].end 4916.89971875
transcript.pyannote[361].speaker SPEAKER_18
transcript.pyannote[361].start 4917.25409375
transcript.pyannote[361].end 4920.29159375
transcript.pyannote[362].speaker SPEAKER_18
transcript.pyannote[362].start 4920.79784375
transcript.pyannote[362].end 4923.16034375
transcript.pyannote[363].speaker SPEAKER_18
transcript.pyannote[363].start 4923.86909375
transcript.pyannote[363].end 4927.61534375
transcript.pyannote[364].speaker SPEAKER_18
transcript.pyannote[364].start 4928.00346875
transcript.pyannote[364].end 4930.85534375
transcript.pyannote[365].speaker SPEAKER_18
transcript.pyannote[365].start 4931.20971875
transcript.pyannote[365].end 4935.81659375
transcript.pyannote[366].speaker SPEAKER_18
transcript.pyannote[366].start 4936.66034375
transcript.pyannote[366].end 4940.00159375
transcript.pyannote[367].speaker SPEAKER_18
transcript.pyannote[367].start 4941.41909375
transcript.pyannote[367].end 4942.49909375
transcript.pyannote[368].speaker SPEAKER_18
transcript.pyannote[368].start 4942.70159375
transcript.pyannote[368].end 4949.19846875
transcript.pyannote[369].speaker SPEAKER_18
transcript.pyannote[369].start 4949.72159375
transcript.pyannote[369].end 4951.29096875
transcript.pyannote[370].speaker SPEAKER_18
transcript.pyannote[370].start 4951.61159375
transcript.pyannote[370].end 4953.99096875
transcript.pyannote[371].speaker SPEAKER_18
transcript.pyannote[371].start 4954.37909375
transcript.pyannote[371].end 4955.07096875
transcript.pyannote[372].speaker SPEAKER_18
transcript.pyannote[372].start 4955.23971875
transcript.pyannote[372].end 4956.04971875
transcript.pyannote[373].speaker SPEAKER_18
transcript.pyannote[373].start 4956.47159375
transcript.pyannote[373].end 4959.57659375
transcript.pyannote[374].speaker SPEAKER_18
transcript.pyannote[374].start 4959.93096875
transcript.pyannote[374].end 4971.01784375
transcript.pyannote[375].speaker SPEAKER_18
transcript.pyannote[375].start 4971.99659375
transcript.pyannote[375].end 4972.58721875
transcript.pyannote[376].speaker SPEAKER_18
transcript.pyannote[376].start 4973.04284375
transcript.pyannote[376].end 4974.44346875
transcript.pyannote[377].speaker SPEAKER_18
transcript.pyannote[377].start 4974.84846875
transcript.pyannote[377].end 4978.74659375
transcript.pyannote[378].speaker SPEAKER_18
transcript.pyannote[378].start 4979.21909375
transcript.pyannote[378].end 4981.32846875
transcript.pyannote[379].speaker SPEAKER_18
transcript.pyannote[379].start 4981.78409375
transcript.pyannote[379].end 4986.08721875
transcript.pyannote[380].speaker SPEAKER_18
transcript.pyannote[380].start 4986.40784375
transcript.pyannote[380].end 4988.16284375
transcript.pyannote[381].speaker SPEAKER_18
transcript.pyannote[381].start 4988.55096875
transcript.pyannote[381].end 4994.00159375
transcript.pyannote[382].speaker SPEAKER_18
transcript.pyannote[382].start 4994.54159375
transcript.pyannote[382].end 4997.47784375
transcript.pyannote[383].speaker SPEAKER_18
transcript.pyannote[383].start 4998.03471875
transcript.pyannote[383].end 4999.68846875
transcript.pyannote[384].speaker SPEAKER_18
transcript.pyannote[384].start 5000.81909375
transcript.pyannote[384].end 5005.56096875
transcript.pyannote[385].speaker SPEAKER_18
transcript.pyannote[385].start 5005.93221875
transcript.pyannote[385].end 5009.44221875
transcript.pyannote[386].speaker SPEAKER_18
transcript.pyannote[386].start 5010.33659375
transcript.pyannote[386].end 5011.70346875
transcript.pyannote[387].speaker SPEAKER_18
transcript.pyannote[387].start 5012.26034375
transcript.pyannote[387].end 5017.84596875
transcript.pyannote[388].speaker SPEAKER_18
transcript.pyannote[388].start 5018.58846875
transcript.pyannote[388].end 5019.17909375
transcript.pyannote[389].speaker SPEAKER_18
transcript.pyannote[389].start 5019.78659375
transcript.pyannote[389].end 5022.92534375
transcript.pyannote[390].speaker SPEAKER_18
transcript.pyannote[390].start 5023.36409375
transcript.pyannote[390].end 5025.86159375
transcript.pyannote[391].speaker SPEAKER_18
transcript.pyannote[391].start 5026.31721875
transcript.pyannote[391].end 5028.34221875
transcript.pyannote[392].speaker SPEAKER_18
transcript.pyannote[392].start 5028.46034375
transcript.pyannote[392].end 5030.38409375
transcript.pyannote[393].speaker SPEAKER_18
transcript.pyannote[393].start 5031.17721875
transcript.pyannote[393].end 5034.21471875
transcript.pyannote[394].speaker SPEAKER_18
transcript.pyannote[394].start 5035.85159375
transcript.pyannote[394].end 5036.39159375
transcript.pyannote[395].speaker SPEAKER_18
transcript.pyannote[395].start 5036.61096875
transcript.pyannote[395].end 5037.84284375
transcript.pyannote[396].speaker SPEAKER_18
transcript.pyannote[396].start 5037.96096875
transcript.pyannote[396].end 5040.72846875
transcript.pyannote[397].speaker SPEAKER_18
transcript.pyannote[397].start 5041.06596875
transcript.pyannote[397].end 5048.03534375
transcript.pyannote[398].speaker SPEAKER_18
transcript.pyannote[398].start 5048.05221875
transcript.pyannote[398].end 5050.22909375
transcript.pyannote[399].speaker SPEAKER_18
transcript.pyannote[399].start 5050.58346875
transcript.pyannote[399].end 5056.40534375
transcript.pyannote[400].speaker SPEAKER_18
transcript.pyannote[400].start 5056.79346875
transcript.pyannote[400].end 5059.27409375
transcript.pyannote[401].speaker SPEAKER_18
transcript.pyannote[401].start 5059.71284375
transcript.pyannote[401].end 5060.82659375
transcript.pyannote[402].speaker SPEAKER_18
transcript.pyannote[402].start 5061.23159375
transcript.pyannote[402].end 5062.63221875
transcript.pyannote[403].speaker SPEAKER_18
transcript.pyannote[403].start 5063.17221875
transcript.pyannote[403].end 5064.20159375
transcript.pyannote[404].speaker SPEAKER_18
transcript.pyannote[404].start 5064.50534375
transcript.pyannote[404].end 5066.12534375
transcript.pyannote[405].speaker SPEAKER_18
transcript.pyannote[405].start 5066.68221875
transcript.pyannote[405].end 5067.27284375
transcript.pyannote[406].speaker SPEAKER_18
transcript.pyannote[406].start 5067.57659375
transcript.pyannote[406].end 5069.48346875
transcript.pyannote[407].speaker SPEAKER_18
transcript.pyannote[407].start 5070.07409375
transcript.pyannote[407].end 5073.17909375
transcript.pyannote[408].speaker SPEAKER_18
transcript.pyannote[408].start 5073.24659375
transcript.pyannote[408].end 5073.26346875
transcript.pyannote[409].speaker SPEAKER_18
transcript.pyannote[409].start 5073.33096875
transcript.pyannote[409].end 5077.51596875
transcript.pyannote[410].speaker SPEAKER_18
transcript.pyannote[410].start 5077.92096875
transcript.pyannote[410].end 5078.66346875
transcript.pyannote[411].speaker SPEAKER_18
transcript.pyannote[411].start 5079.32159375
transcript.pyannote[411].end 5081.14409375
transcript.pyannote[412].speaker SPEAKER_18
transcript.pyannote[412].start 5081.73471875
transcript.pyannote[412].end 5083.15221875
transcript.pyannote[413].speaker SPEAKER_18
transcript.pyannote[413].start 5084.21534375
transcript.pyannote[413].end 5087.69159375
transcript.pyannote[414].speaker SPEAKER_18
transcript.pyannote[414].start 5088.13034375
transcript.pyannote[414].end 5089.80096875
transcript.pyannote[415].speaker SPEAKER_18
transcript.pyannote[415].start 5090.27346875
transcript.pyannote[415].end 5115.85596875
transcript.pyannote[416].speaker SPEAKER_18
transcript.pyannote[416].start 5116.85159375
transcript.pyannote[416].end 5120.54721875
transcript.pyannote[417].speaker SPEAKER_18
transcript.pyannote[417].start 5120.83409375
transcript.pyannote[417].end 5122.74096875
transcript.pyannote[418].speaker SPEAKER_18
transcript.pyannote[418].start 5123.12909375
transcript.pyannote[418].end 5125.52534375
transcript.pyannote[419].speaker SPEAKER_18
transcript.pyannote[419].start 5126.36909375
transcript.pyannote[419].end 5126.82471875
transcript.pyannote[420].speaker SPEAKER_18
transcript.pyannote[420].start 5127.07784375
transcript.pyannote[420].end 5132.03909375
transcript.pyannote[421].speaker SPEAKER_18
transcript.pyannote[421].start 5132.44409375
transcript.pyannote[421].end 5139.21096875
transcript.pyannote[422].speaker SPEAKER_18
transcript.pyannote[422].start 5139.49784375
transcript.pyannote[422].end 5141.62409375
transcript.pyannote[423].speaker SPEAKER_18
transcript.pyannote[423].start 5141.84346875
transcript.pyannote[423].end 5142.51846875
transcript.pyannote[424].speaker SPEAKER_18
transcript.pyannote[424].start 5143.02471875
transcript.pyannote[424].end 5144.74596875
transcript.pyannote[425].speaker SPEAKER_18
transcript.pyannote[425].start 5145.37034375
transcript.pyannote[425].end 5147.73284375
transcript.pyannote[426].speaker SPEAKER_18
transcript.pyannote[426].start 5148.10409375
transcript.pyannote[426].end 5150.66909375
transcript.pyannote[427].speaker SPEAKER_18
transcript.pyannote[427].start 5151.14159375
transcript.pyannote[427].end 5153.89221875
transcript.pyannote[428].speaker SPEAKER_18
transcript.pyannote[428].start 5154.31409375
transcript.pyannote[428].end 5161.53659375
transcript.pyannote[429].speaker SPEAKER_18
transcript.pyannote[429].start 5161.87409375
transcript.pyannote[429].end 5163.84846875
transcript.pyannote[430].speaker SPEAKER_18
transcript.pyannote[430].start 5164.52346875
transcript.pyannote[430].end 5164.92846875
transcript.pyannote[431].speaker SPEAKER_18
transcript.pyannote[431].start 5165.56971875
transcript.pyannote[431].end 5166.22784375
transcript.pyannote[432].speaker SPEAKER_18
transcript.pyannote[432].start 5166.39659375
transcript.pyannote[432].end 5170.42971875
transcript.pyannote[433].speaker SPEAKER_18
transcript.pyannote[433].start 5170.91909375
transcript.pyannote[433].end 5172.03284375
transcript.pyannote[434].speaker SPEAKER_18
transcript.pyannote[434].start 5172.25221875
transcript.pyannote[434].end 5174.80034375
transcript.pyannote[435].speaker SPEAKER_18
transcript.pyannote[435].start 5175.34034375
transcript.pyannote[435].end 5175.89721875
transcript.pyannote[436].speaker SPEAKER_18
transcript.pyannote[436].start 5176.21784375
transcript.pyannote[436].end 5177.48346875
transcript.pyannote[437].speaker SPEAKER_18
transcript.pyannote[437].start 5178.10784375
transcript.pyannote[437].end 5184.06471875
transcript.pyannote[438].speaker SPEAKER_18
transcript.pyannote[438].start 5184.38534375
transcript.pyannote[438].end 5194.98284375
transcript.pyannote[439].speaker SPEAKER_18
transcript.pyannote[439].start 5195.30346875
transcript.pyannote[439].end 5198.15534375
transcript.pyannote[440].speaker SPEAKER_18
transcript.pyannote[440].start 5198.40846875
transcript.pyannote[440].end 5201.05784375
transcript.pyannote[441].speaker SPEAKER_18
transcript.pyannote[441].start 5201.26034375
transcript.pyannote[441].end 5203.09971875
transcript.pyannote[442].speaker SPEAKER_18
transcript.pyannote[442].start 5203.43721875
transcript.pyannote[442].end 5204.14596875
transcript.pyannote[443].speaker SPEAKER_18
transcript.pyannote[443].start 5204.43284375
transcript.pyannote[443].end 5214.42284375
transcript.pyannote[444].speaker SPEAKER_18
transcript.pyannote[444].start 5215.82346875
transcript.pyannote[444].end 5216.41409375
transcript.pyannote[445].speaker SPEAKER_18
transcript.pyannote[445].start 5216.93721875
transcript.pyannote[445].end 5217.62909375
transcript.pyannote[446].speaker SPEAKER_18
transcript.pyannote[446].start 5218.23659375
transcript.pyannote[446].end 5218.92846875
transcript.pyannote[447].speaker SPEAKER_18
transcript.pyannote[447].start 5218.96221875
transcript.pyannote[447].end 5238.09846875
transcript.pyannote[448].speaker SPEAKER_18
transcript.pyannote[448].start 5238.84096875
transcript.pyannote[448].end 5254.01159375
transcript.pyannote[449].speaker SPEAKER_18
transcript.pyannote[449].start 5255.05784375
transcript.pyannote[449].end 5258.63534375
transcript.pyannote[450].speaker SPEAKER_18
transcript.pyannote[450].start 5258.97284375
transcript.pyannote[450].end 5263.05659375
transcript.pyannote[451].speaker SPEAKER_18
transcript.pyannote[451].start 5263.37721875
transcript.pyannote[451].end 5266.65096875
transcript.pyannote[452].speaker SPEAKER_18
transcript.pyannote[452].start 5267.17409375
transcript.pyannote[452].end 5270.00909375
transcript.pyannote[453].speaker SPEAKER_18
transcript.pyannote[453].start 5270.24534375
transcript.pyannote[453].end 5273.83971875
transcript.pyannote[454].speaker SPEAKER_14
transcript.pyannote[454].start 5275.29096875
transcript.pyannote[454].end 5277.77159375
transcript.pyannote[455].speaker SPEAKER_14
transcript.pyannote[455].start 5277.94034375
transcript.pyannote[455].end 5295.86159375
transcript.pyannote[456].speaker SPEAKER_14
transcript.pyannote[456].start 5296.21596875
transcript.pyannote[456].end 5298.64596875
transcript.pyannote[457].speaker SPEAKER_14
transcript.pyannote[457].start 5299.10159375
transcript.pyannote[457].end 5300.58659375
transcript.pyannote[458].speaker SPEAKER_14
transcript.pyannote[458].start 5301.09284375
transcript.pyannote[458].end 5303.42159375
transcript.pyannote[459].speaker SPEAKER_14
transcript.pyannote[459].start 5303.65784375
transcript.pyannote[459].end 5309.61471875
transcript.pyannote[460].speaker SPEAKER_14
transcript.pyannote[460].start 5310.20534375
transcript.pyannote[460].end 5317.44471875
transcript.pyannote[461].speaker SPEAKER_14
transcript.pyannote[461].start 5327.97471875
transcript.pyannote[461].end 5329.76346875
transcript.pyannote[462].speaker SPEAKER_14
transcript.pyannote[462].start 5329.98284375
transcript.pyannote[462].end 5330.06721875
transcript.pyannote[463].speaker SPEAKER_18
transcript.pyannote[463].start 5330.06721875
transcript.pyannote[463].end 5330.97846875
transcript.pyannote[464].speaker SPEAKER_14
transcript.pyannote[464].start 5330.97846875
transcript.pyannote[464].end 5331.02909375
transcript.pyannote[465].speaker SPEAKER_18
transcript.pyannote[465].start 5331.02909375
transcript.pyannote[465].end 5331.34971875
transcript.pyannote[466].speaker SPEAKER_18
transcript.pyannote[466].start 5336.42909375
transcript.pyannote[466].end 5367.05721875
transcript.pyannote[467].speaker SPEAKER_18
transcript.pyannote[467].start 5367.20909375
transcript.pyannote[467].end 5390.85096875
transcript.pyannote[468].speaker SPEAKER_18
transcript.pyannote[468].start 5391.17159375
transcript.pyannote[468].end 5435.82284375
transcript.pyannote[469].speaker SPEAKER_30
transcript.pyannote[469].start 5422.12034375
transcript.pyannote[469].end 5422.30596875
transcript.pyannote[470].speaker SPEAKER_30
transcript.pyannote[470].start 5422.33971875
transcript.pyannote[470].end 5422.57596875
transcript.pyannote[471].speaker SPEAKER_07
transcript.pyannote[471].start 5422.57596875
transcript.pyannote[471].end 5422.96409375
transcript.pyannote[472].speaker SPEAKER_30
transcript.pyannote[472].start 5422.96409375
transcript.pyannote[472].end 5423.21721875
transcript.pyannote[473].speaker SPEAKER_18
transcript.pyannote[473].start 5436.05909375
transcript.pyannote[473].end 5473.28534375
transcript.pyannote[474].speaker SPEAKER_00
transcript.pyannote[474].start 5437.71284375
transcript.pyannote[474].end 5437.88159375
transcript.pyannote[475].speaker SPEAKER_30
transcript.pyannote[475].start 5437.88159375
transcript.pyannote[475].end 5438.35409375
transcript.pyannote[476].speaker SPEAKER_00
transcript.pyannote[476].start 5438.35409375
transcript.pyannote[476].end 5438.37096875
transcript.pyannote[477].speaker SPEAKER_19
transcript.pyannote[477].start 5470.90596875
transcript.pyannote[477].end 5471.19284375
transcript.pyannote[478].speaker SPEAKER_13
transcript.pyannote[478].start 5471.19284375
transcript.pyannote[478].end 5471.24346875
transcript.pyannote[479].speaker SPEAKER_19
transcript.pyannote[479].start 5471.24346875
transcript.pyannote[479].end 5471.31096875
transcript.pyannote[480].speaker SPEAKER_18
transcript.pyannote[480].start 5473.94346875
transcript.pyannote[480].end 5493.09659375
transcript.pyannote[481].speaker SPEAKER_19
transcript.pyannote[481].start 5488.06784375
transcript.pyannote[481].end 5488.52346875
transcript.pyannote[482].speaker SPEAKER_18
transcript.pyannote[482].start 5493.56909375
transcript.pyannote[482].end 5566.57034375
transcript.pyannote[483].speaker SPEAKER_00
transcript.pyannote[483].start 5520.14721875
transcript.pyannote[483].end 5520.19784375
transcript.pyannote[484].speaker SPEAKER_07
transcript.pyannote[484].start 5520.19784375
transcript.pyannote[484].end 5520.38346875
transcript.pyannote[485].speaker SPEAKER_00
transcript.pyannote[485].start 5520.38346875
transcript.pyannote[485].end 5520.55221875
transcript.pyannote[486].speaker SPEAKER_00
transcript.pyannote[486].start 5522.44221875
transcript.pyannote[486].end 5522.79659375
transcript.pyannote[487].speaker SPEAKER_00
transcript.pyannote[487].start 5523.60659375
transcript.pyannote[487].end 5524.02846875
transcript.pyannote[488].speaker SPEAKER_19
transcript.pyannote[488].start 5524.02846875
transcript.pyannote[488].end 5524.60221875
transcript.pyannote[489].speaker SPEAKER_00
transcript.pyannote[489].start 5524.60221875
transcript.pyannote[489].end 5524.88909375
transcript.pyannote[490].speaker SPEAKER_15
transcript.pyannote[490].start 5548.85159375
transcript.pyannote[490].end 5548.90221875
transcript.pyannote[491].speaker SPEAKER_30
transcript.pyannote[491].start 5548.90221875
transcript.pyannote[491].end 5549.61096875
transcript.pyannote[492].speaker SPEAKER_15
transcript.pyannote[492].start 5549.61096875
transcript.pyannote[492].end 5549.64471875
transcript.pyannote[493].speaker SPEAKER_19
transcript.pyannote[493].start 5563.78596875
transcript.pyannote[493].end 5565.16971875
transcript.pyannote[494].speaker SPEAKER_18
transcript.pyannote[494].start 5566.95846875
transcript.pyannote[494].end 5579.00721875
transcript.pyannote[495].speaker SPEAKER_20
transcript.pyannote[495].start 5579.00721875
transcript.pyannote[495].end 5579.66534375
transcript.pyannote[496].speaker SPEAKER_18
transcript.pyannote[496].start 5579.02409375
transcript.pyannote[496].end 5579.61471875
transcript.pyannote[497].speaker SPEAKER_18
transcript.pyannote[497].start 5579.66534375
transcript.pyannote[497].end 5579.96909375
transcript.pyannote[498].speaker SPEAKER_20
transcript.pyannote[498].start 5579.96909375
transcript.pyannote[498].end 5585.03159375
transcript.pyannote[499].speaker SPEAKER_18
transcript.pyannote[499].start 5585.03159375
transcript.pyannote[499].end 5585.97659375
transcript.pyannote[500].speaker SPEAKER_20
transcript.pyannote[500].start 5585.97659375
transcript.pyannote[500].end 5586.02721875
transcript.pyannote[501].speaker SPEAKER_18
transcript.pyannote[501].start 5586.02721875
transcript.pyannote[501].end 5662.28534375
transcript.pyannote[502].speaker SPEAKER_20
transcript.pyannote[502].start 5595.94971875
transcript.pyannote[502].end 5597.65409375
transcript.pyannote[503].speaker SPEAKER_18
transcript.pyannote[503].start 5662.87596875
transcript.pyannote[503].end 5669.87909375
transcript.pyannote[504].speaker SPEAKER_14
transcript.pyannote[504].start 5668.83284375
transcript.pyannote[504].end 5668.86659375
transcript.pyannote[505].speaker SPEAKER_19
transcript.pyannote[505].start 5668.86659375
transcript.pyannote[505].end 5669.44034375
transcript.pyannote[506].speaker SPEAKER_18
transcript.pyannote[506].start 5670.41909375
transcript.pyannote[506].end 5728.97534375
transcript.pyannote[507].speaker SPEAKER_15
transcript.pyannote[507].start 5687.61471875
transcript.pyannote[507].end 5689.13346875
transcript.pyannote[508].speaker SPEAKER_21
transcript.pyannote[508].start 5728.97534375
transcript.pyannote[508].end 5734.03784375
transcript.pyannote[509].speaker SPEAKER_18
transcript.pyannote[509].start 5734.03784375
transcript.pyannote[509].end 5734.96596875
transcript.pyannote[510].speaker SPEAKER_21
transcript.pyannote[510].start 5734.96596875
transcript.pyannote[510].end 5735.03346875
transcript.pyannote[511].speaker SPEAKER_18
transcript.pyannote[511].start 5735.03346875
transcript.pyannote[511].end 5769.93096875
transcript.pyannote[512].speaker SPEAKER_18
transcript.pyannote[512].start 5770.26846875
transcript.pyannote[512].end 5773.52534375
transcript.pyannote[513].speaker SPEAKER_20
transcript.pyannote[513].start 5773.52534375
transcript.pyannote[513].end 5773.77846875
transcript.pyannote[514].speaker SPEAKER_18
transcript.pyannote[514].start 5773.77846875
transcript.pyannote[514].end 5774.03159375
transcript.pyannote[515].speaker SPEAKER_20
transcript.pyannote[515].start 5774.03159375
transcript.pyannote[515].end 5780.03909375
transcript.pyannote[516].speaker SPEAKER_18
transcript.pyannote[516].start 5780.03909375
transcript.pyannote[516].end 5781.87846875
transcript.pyannote[517].speaker SPEAKER_18
transcript.pyannote[517].start 5782.13159375
transcript.pyannote[517].end 5790.02909375
transcript.pyannote[518].speaker SPEAKER_21
transcript.pyannote[518].start 5790.02909375
transcript.pyannote[518].end 5792.03721875
transcript.pyannote[519].speaker SPEAKER_18
transcript.pyannote[519].start 5792.03721875
transcript.pyannote[519].end 5792.96534375
transcript.pyannote[520].speaker SPEAKER_21
transcript.pyannote[520].start 5792.96534375
transcript.pyannote[520].end 5793.03284375
transcript.pyannote[521].speaker SPEAKER_18
transcript.pyannote[521].start 5793.03284375
transcript.pyannote[521].end 5793.97784375
transcript.pyannote[522].speaker SPEAKER_21
transcript.pyannote[522].start 5793.97784375
transcript.pyannote[522].end 5794.02846875
transcript.pyannote[523].speaker SPEAKER_18
transcript.pyannote[523].start 5794.02846875
transcript.pyannote[523].end 5822.81721875
transcript.pyannote[524].speaker SPEAKER_29
transcript.pyannote[524].start 5809.90784375
transcript.pyannote[524].end 5810.38034375
transcript.pyannote[525].speaker SPEAKER_18
transcript.pyannote[525].start 5823.25596875
transcript.pyannote[525].end 5823.30659375
transcript.pyannote[526].speaker SPEAKER_18
transcript.pyannote[526].start 5823.34034375
transcript.pyannote[526].end 5823.39096875
transcript.pyannote[527].speaker SPEAKER_18
transcript.pyannote[527].start 5823.67784375
transcript.pyannote[527].end 5824.23471875
transcript.pyannote[528].speaker SPEAKER_18
transcript.pyannote[528].start 5824.62284375
transcript.pyannote[528].end 5884.95096875
transcript.pyannote[529].speaker SPEAKER_18
transcript.pyannote[529].start 5885.00159375
transcript.pyannote[529].end 5891.92034375
transcript.pyannote[530].speaker SPEAKER_24
transcript.pyannote[530].start 5885.69346875
transcript.pyannote[530].end 5885.76096875
transcript.pyannote[531].speaker SPEAKER_33
transcript.pyannote[531].start 5885.76096875
transcript.pyannote[531].end 5885.77784375
transcript.pyannote[532].speaker SPEAKER_24
transcript.pyannote[532].start 5885.77784375
transcript.pyannote[532].end 5885.81159375
transcript.pyannote[533].speaker SPEAKER_33
transcript.pyannote[533].start 5885.81159375
transcript.pyannote[533].end 5885.82846875
transcript.pyannote[534].speaker SPEAKER_14
transcript.pyannote[534].start 5896.24034375
transcript.pyannote[534].end 5896.57784375
transcript.pyannote[535].speaker SPEAKER_14
transcript.pyannote[535].start 5897.06721875
transcript.pyannote[535].end 5900.23971875
transcript.pyannote[536].speaker SPEAKER_27
transcript.pyannote[536].start 5910.28034375
transcript.pyannote[536].end 5911.05659375
transcript.pyannote[537].speaker SPEAKER_27
transcript.pyannote[537].start 5912.08596875
transcript.pyannote[537].end 5912.38971875
transcript.pyannote[538].speaker SPEAKER_14
transcript.pyannote[538].start 5912.38971875
transcript.pyannote[538].end 5913.03096875
transcript.pyannote[539].speaker SPEAKER_18
transcript.pyannote[539].start 5917.40159375
transcript.pyannote[539].end 5918.80221875
transcript.pyannote[540].speaker SPEAKER_27
transcript.pyannote[540].start 5919.03846875
transcript.pyannote[540].end 5919.54471875
transcript.pyannote[541].speaker SPEAKER_27
transcript.pyannote[541].start 5919.94971875
transcript.pyannote[541].end 5920.35471875
transcript.pyannote[542].speaker SPEAKER_27
transcript.pyannote[542].start 5920.92846875
transcript.pyannote[542].end 5935.17096875
transcript.pyannote[543].speaker SPEAKER_18
transcript.pyannote[543].start 5935.72784375
transcript.pyannote[543].end 5958.23909375
transcript.pyannote[544].speaker SPEAKER_18
transcript.pyannote[544].start 5958.66096875
transcript.pyannote[544].end 5960.02784375
transcript.pyannote[545].speaker SPEAKER_18
transcript.pyannote[545].start 5960.21346875
transcript.pyannote[545].end 5968.93784375
transcript.pyannote[546].speaker SPEAKER_27
transcript.pyannote[546].start 5969.24159375
transcript.pyannote[546].end 5969.25846875
transcript.pyannote[547].speaker SPEAKER_18
transcript.pyannote[547].start 5969.25846875
transcript.pyannote[547].end 5969.27534375
transcript.pyannote[548].speaker SPEAKER_27
transcript.pyannote[548].start 5969.27534375
transcript.pyannote[548].end 5969.51159375
transcript.pyannote[549].speaker SPEAKER_27
transcript.pyannote[549].start 5970.03471875
transcript.pyannote[549].end 5973.96659375
transcript.pyannote[550].speaker SPEAKER_27
transcript.pyannote[550].start 5974.92846875
transcript.pyannote[550].end 5983.90596875
transcript.pyannote[551].speaker SPEAKER_18
transcript.pyannote[551].start 5984.49659375
transcript.pyannote[551].end 5994.43596875
transcript.pyannote[552].speaker SPEAKER_18
transcript.pyannote[552].start 5994.67221875
transcript.pyannote[552].end 5996.74784375
transcript.pyannote[553].speaker SPEAKER_18
transcript.pyannote[553].start 5997.01784375
transcript.pyannote[553].end 5998.51971875
transcript.pyannote[554].speaker SPEAKER_18
transcript.pyannote[554].start 5998.82346875
transcript.pyannote[554].end 6000.37596875
transcript.pyannote[555].speaker SPEAKER_18
transcript.pyannote[555].start 6000.67971875
transcript.pyannote[555].end 6002.21534375
transcript.pyannote[556].speaker SPEAKER_18
transcript.pyannote[556].start 6002.53596875
transcript.pyannote[556].end 6017.67284375
transcript.pyannote[557].speaker SPEAKER_18
transcript.pyannote[557].start 6017.75721875
transcript.pyannote[557].end 6018.95534375
transcript.pyannote[558].speaker SPEAKER_18
transcript.pyannote[558].start 6019.14096875
transcript.pyannote[558].end 6027.29159375
transcript.pyannote[559].speaker SPEAKER_27
transcript.pyannote[559].start 6029.73846875
transcript.pyannote[559].end 6031.22346875
transcript.pyannote[560].speaker SPEAKER_27
transcript.pyannote[560].start 6031.98284375
transcript.pyannote[560].end 6041.82096875
transcript.pyannote[561].speaker SPEAKER_30
transcript.pyannote[561].start 6038.74971875
transcript.pyannote[561].end 6038.90159375
transcript.pyannote[562].speaker SPEAKER_32
transcript.pyannote[562].start 6038.90159375
transcript.pyannote[562].end 6038.98596875
transcript.pyannote[563].speaker SPEAKER_00
transcript.pyannote[563].start 6038.98596875
transcript.pyannote[563].end 6039.03659375
transcript.pyannote[564].speaker SPEAKER_27
transcript.pyannote[564].start 6042.00659375
transcript.pyannote[564].end 6042.44534375
transcript.pyannote[565].speaker SPEAKER_27
transcript.pyannote[565].start 6042.93471875
transcript.pyannote[565].end 6044.68971875
transcript.pyannote[566].speaker SPEAKER_27
transcript.pyannote[566].start 6045.53346875
transcript.pyannote[566].end 6052.23284375
transcript.pyannote[567].speaker SPEAKER_27
transcript.pyannote[567].start 6052.31721875
transcript.pyannote[567].end 6052.89096875
transcript.pyannote[568].speaker SPEAKER_27
transcript.pyannote[568].start 6053.19471875
transcript.pyannote[568].end 6054.56159375
transcript.pyannote[569].speaker SPEAKER_27
transcript.pyannote[569].start 6055.20284375
transcript.pyannote[569].end 6060.19784375
transcript.pyannote[570].speaker SPEAKER_27
transcript.pyannote[570].start 6060.99096875
transcript.pyannote[570].end 6074.13659375
transcript.pyannote[571].speaker SPEAKER_27
transcript.pyannote[571].start 6074.92971875
transcript.pyannote[571].end 6078.30471875
transcript.pyannote[572].speaker SPEAKER_27
transcript.pyannote[572].start 6078.74346875
transcript.pyannote[572].end 6081.24096875
transcript.pyannote[573].speaker SPEAKER_18
transcript.pyannote[573].start 6081.56159375
transcript.pyannote[573].end 6081.79784375
transcript.pyannote[574].speaker SPEAKER_27
transcript.pyannote[574].start 6081.94971875
transcript.pyannote[574].end 6082.48971875
transcript.pyannote[575].speaker SPEAKER_18
transcript.pyannote[575].start 6082.48971875
transcript.pyannote[575].end 6083.97471875
transcript.pyannote[576].speaker SPEAKER_27
transcript.pyannote[576].start 6083.41784375
transcript.pyannote[576].end 6083.73846875
transcript.pyannote[577].speaker SPEAKER_27
transcript.pyannote[577].start 6083.97471875
transcript.pyannote[577].end 6084.00846875
transcript.pyannote[578].speaker SPEAKER_27
transcript.pyannote[578].start 6084.02534375
transcript.pyannote[578].end 6087.58596875
transcript.pyannote[579].speaker SPEAKER_27
transcript.pyannote[579].start 6087.99096875
transcript.pyannote[579].end 6101.38971875
transcript.pyannote[580].speaker SPEAKER_30
transcript.pyannote[580].start 6096.68159375
transcript.pyannote[580].end 6096.88409375
transcript.pyannote[581].speaker SPEAKER_27
transcript.pyannote[581].start 6102.14909375
transcript.pyannote[581].end 6104.10659375
transcript.pyannote[582].speaker SPEAKER_27
transcript.pyannote[582].start 6104.59596875
transcript.pyannote[582].end 6114.94034375
transcript.pyannote[583].speaker SPEAKER_27
transcript.pyannote[583].start 6115.34534375
transcript.pyannote[583].end 6116.47596875
transcript.pyannote[584].speaker SPEAKER_27
transcript.pyannote[584].start 6116.94846875
transcript.pyannote[584].end 6117.55596875
transcript.pyannote[585].speaker SPEAKER_18
transcript.pyannote[585].start 6118.01159375
transcript.pyannote[585].end 6125.67284375
transcript.pyannote[586].speaker SPEAKER_18
transcript.pyannote[586].start 6125.92596875
transcript.pyannote[586].end 6130.46534375
transcript.pyannote[587].speaker SPEAKER_18
transcript.pyannote[587].start 6130.63409375
transcript.pyannote[587].end 6136.81034375
transcript.pyannote[588].speaker SPEAKER_27
transcript.pyannote[588].start 6137.24909375
transcript.pyannote[588].end 6138.86909375
transcript.pyannote[589].speaker SPEAKER_27
transcript.pyannote[589].start 6139.51034375
transcript.pyannote[589].end 6146.31096875
transcript.pyannote[590].speaker SPEAKER_27
transcript.pyannote[590].start 6147.10409375
transcript.pyannote[590].end 6153.60096875
transcript.pyannote[591].speaker SPEAKER_27
transcript.pyannote[591].start 6153.98909375
transcript.pyannote[591].end 6155.10284375
transcript.pyannote[592].speaker SPEAKER_27
transcript.pyannote[592].start 6155.59221875
transcript.pyannote[592].end 6159.43971875
transcript.pyannote[593].speaker SPEAKER_27
transcript.pyannote[593].start 6159.91221875
transcript.pyannote[593].end 6161.93721875
transcript.pyannote[594].speaker SPEAKER_30
transcript.pyannote[594].start 6160.46909375
transcript.pyannote[594].end 6160.53659375
transcript.pyannote[595].speaker SPEAKER_30
transcript.pyannote[595].start 6160.55346875
transcript.pyannote[595].end 6160.68846875
transcript.pyannote[596].speaker SPEAKER_27
transcript.pyannote[596].start 6162.42659375
transcript.pyannote[596].end 6166.20659375
transcript.pyannote[597].speaker SPEAKER_27
transcript.pyannote[597].start 6166.89846875
transcript.pyannote[597].end 6169.07534375
transcript.pyannote[598].speaker SPEAKER_27
transcript.pyannote[598].start 6169.37909375
transcript.pyannote[598].end 6179.08221875
transcript.pyannote[599].speaker SPEAKER_18
transcript.pyannote[599].start 6179.41971875
transcript.pyannote[599].end 6202.15034375
transcript.pyannote[600].speaker SPEAKER_18
transcript.pyannote[600].start 6202.40346875
transcript.pyannote[600].end 6209.03534375
transcript.pyannote[601].speaker SPEAKER_27
transcript.pyannote[601].start 6209.03534375
transcript.pyannote[601].end 6221.74221875
transcript.pyannote[602].speaker SPEAKER_18
transcript.pyannote[602].start 6209.62596875
transcript.pyannote[602].end 6209.84534375
transcript.pyannote[603].speaker SPEAKER_27
transcript.pyannote[603].start 6221.99534375
transcript.pyannote[603].end 6243.46034375
transcript.pyannote[604].speaker SPEAKER_27
transcript.pyannote[604].start 6244.01721875
transcript.pyannote[604].end 6249.61971875
transcript.pyannote[605].speaker SPEAKER_30
transcript.pyannote[605].start 6249.61971875
transcript.pyannote[605].end 6250.09221875
transcript.pyannote[606].speaker SPEAKER_27
transcript.pyannote[606].start 6250.12596875
transcript.pyannote[606].end 6254.71596875
transcript.pyannote[607].speaker SPEAKER_30
transcript.pyannote[607].start 6250.44659375
transcript.pyannote[607].end 6250.51409375
transcript.pyannote[608].speaker SPEAKER_30
transcript.pyannote[608].start 6254.71596875
transcript.pyannote[608].end 6254.95221875
transcript.pyannote[609].speaker SPEAKER_27
transcript.pyannote[609].start 6254.95221875
transcript.pyannote[609].end 6254.96909375
transcript.pyannote[610].speaker SPEAKER_27
transcript.pyannote[610].start 6255.07034375
transcript.pyannote[610].end 6266.59596875
transcript.pyannote[611].speaker SPEAKER_27
transcript.pyannote[611].start 6267.20346875
transcript.pyannote[611].end 6267.54096875
transcript.pyannote[612].speaker SPEAKER_27
transcript.pyannote[612].start 6268.14846875
transcript.pyannote[612].end 6271.13534375
transcript.pyannote[613].speaker SPEAKER_27
transcript.pyannote[613].start 6271.28721875
transcript.pyannote[613].end 6276.87284375
transcript.pyannote[614].speaker SPEAKER_18
transcript.pyannote[614].start 6276.97409375
transcript.pyannote[614].end 6281.42909375
transcript.pyannote[615].speaker SPEAKER_18
transcript.pyannote[615].start 6281.66534375
transcript.pyannote[615].end 6285.02346875
transcript.pyannote[616].speaker SPEAKER_18
transcript.pyannote[616].start 6285.12471875
transcript.pyannote[616].end 6296.12721875
transcript.pyannote[617].speaker SPEAKER_27
transcript.pyannote[617].start 6296.66721875
transcript.pyannote[617].end 6302.23596875
transcript.pyannote[618].speaker SPEAKER_27
transcript.pyannote[618].start 6302.47221875
transcript.pyannote[618].end 6321.62534375
transcript.pyannote[619].speaker SPEAKER_30
transcript.pyannote[619].start 6306.55596875
transcript.pyannote[619].end 6306.65721875
transcript.pyannote[620].speaker SPEAKER_30
transcript.pyannote[620].start 6306.72471875
transcript.pyannote[620].end 6306.84284375
transcript.pyannote[621].speaker SPEAKER_18
transcript.pyannote[621].start 6321.62534375
transcript.pyannote[621].end 6323.05971875
transcript.pyannote[622].speaker SPEAKER_27
transcript.pyannote[622].start 6323.31284375
transcript.pyannote[622].end 6324.03846875
transcript.pyannote[623].speaker SPEAKER_18
transcript.pyannote[623].start 6326.80596875
transcript.pyannote[623].end 6326.83971875
transcript.pyannote[624].speaker SPEAKER_24
transcript.pyannote[624].start 6326.83971875
transcript.pyannote[624].end 6327.66659375
transcript.pyannote[625].speaker SPEAKER_24
transcript.pyannote[625].start 6329.42159375
transcript.pyannote[625].end 6331.90221875
transcript.pyannote[626].speaker SPEAKER_24
transcript.pyannote[626].start 6333.74159375
transcript.pyannote[626].end 6335.26034375
transcript.pyannote[627].speaker SPEAKER_14
transcript.pyannote[627].start 6345.06471875
transcript.pyannote[627].end 6348.64221875
transcript.pyannote[628].speaker SPEAKER_14
transcript.pyannote[628].start 6351.66284375
transcript.pyannote[628].end 6353.55284375
transcript.pyannote[629].speaker SPEAKER_37
transcript.pyannote[629].start 6353.55284375
transcript.pyannote[629].end 6355.49346875
transcript.pyannote[630].speaker SPEAKER_14
transcript.pyannote[630].start 6355.18971875
transcript.pyannote[630].end 6355.52721875
transcript.pyannote[631].speaker SPEAKER_07
transcript.pyannote[631].start 6355.52721875
transcript.pyannote[631].end 6355.83096875
transcript.pyannote[632].speaker SPEAKER_14
transcript.pyannote[632].start 6355.83096875
transcript.pyannote[632].end 6355.84784375
transcript.pyannote[633].speaker SPEAKER_37
transcript.pyannote[633].start 6355.84784375
transcript.pyannote[633].end 6357.53534375
transcript.pyannote[634].speaker SPEAKER_07
transcript.pyannote[634].start 6355.93221875
transcript.pyannote[634].end 6355.94909375
transcript.pyannote[635].speaker SPEAKER_14
transcript.pyannote[635].start 6355.94909375
transcript.pyannote[635].end 6355.96596875
transcript.pyannote[636].speaker SPEAKER_07
transcript.pyannote[636].start 6355.96596875
transcript.pyannote[636].end 6355.99971875
transcript.pyannote[637].speaker SPEAKER_14
transcript.pyannote[637].start 6355.99971875
transcript.pyannote[637].end 6356.32034375
transcript.pyannote[638].speaker SPEAKER_07
transcript.pyannote[638].start 6356.32034375
transcript.pyannote[638].end 6356.43846875
transcript.pyannote[639].speaker SPEAKER_14
transcript.pyannote[639].start 6356.43846875
transcript.pyannote[639].end 6356.52284375
transcript.pyannote[640].speaker SPEAKER_14
transcript.pyannote[640].start 6356.62409375
transcript.pyannote[640].end 6356.97846875
transcript.pyannote[641].speaker SPEAKER_37
transcript.pyannote[641].start 6357.58596875
transcript.pyannote[641].end 6361.66971875
transcript.pyannote[642].speaker SPEAKER_37
transcript.pyannote[642].start 6361.90596875
transcript.pyannote[642].end 6364.35284375
transcript.pyannote[643].speaker SPEAKER_37
transcript.pyannote[643].start 6364.79159375
transcript.pyannote[643].end 6366.32721875
transcript.pyannote[644].speaker SPEAKER_37
transcript.pyannote[644].start 6366.73221875
transcript.pyannote[644].end 6372.03096875
transcript.pyannote[645].speaker SPEAKER_37
transcript.pyannote[645].start 6372.38534375
transcript.pyannote[645].end 6377.63346875
transcript.pyannote[646].speaker SPEAKER_18
transcript.pyannote[646].start 6376.65471875
transcript.pyannote[646].end 6379.57409375
transcript.pyannote[647].speaker SPEAKER_37
transcript.pyannote[647].start 6379.15221875
transcript.pyannote[647].end 6379.48971875
transcript.pyannote[648].speaker SPEAKER_37
transcript.pyannote[648].start 6380.18159375
transcript.pyannote[648].end 6380.78909375
transcript.pyannote[649].speaker SPEAKER_37
transcript.pyannote[649].start 6381.31221875
transcript.pyannote[649].end 6383.35409375
transcript.pyannote[650].speaker SPEAKER_37
transcript.pyannote[650].start 6383.91096875
transcript.pyannote[650].end 6384.88971875
transcript.pyannote[651].speaker SPEAKER_33
transcript.pyannote[651].start 6386.18909375
transcript.pyannote[651].end 6386.20596875
transcript.pyannote[652].speaker SPEAKER_37
transcript.pyannote[652].start 6386.20596875
transcript.pyannote[652].end 6386.50971875
transcript.pyannote[653].speaker SPEAKER_37
transcript.pyannote[653].start 6388.83846875
transcript.pyannote[653].end 6389.56409375
transcript.pyannote[654].speaker SPEAKER_37
transcript.pyannote[654].start 6389.85096875
transcript.pyannote[654].end 6394.72784375
transcript.pyannote[655].speaker SPEAKER_37
transcript.pyannote[655].start 6394.77846875
transcript.pyannote[655].end 6404.56596875
transcript.pyannote[656].speaker SPEAKER_37
transcript.pyannote[656].start 6404.78534375
transcript.pyannote[656].end 6408.51471875
transcript.pyannote[657].speaker SPEAKER_37
transcript.pyannote[657].start 6408.81846875
transcript.pyannote[657].end 6411.53534375
transcript.pyannote[658].speaker SPEAKER_37
transcript.pyannote[658].start 6411.99096875
transcript.pyannote[658].end 6413.12159375
transcript.pyannote[659].speaker SPEAKER_37
transcript.pyannote[659].start 6414.10034375
transcript.pyannote[659].end 6419.34846875
transcript.pyannote[660].speaker SPEAKER_37
transcript.pyannote[660].start 6419.92221875
transcript.pyannote[660].end 6422.62221875
transcript.pyannote[661].speaker SPEAKER_37
transcript.pyannote[661].start 6423.11159375
transcript.pyannote[661].end 6426.18284375
transcript.pyannote[662].speaker SPEAKER_14
transcript.pyannote[662].start 6426.18284375
transcript.pyannote[662].end 6426.21659375
transcript.pyannote[663].speaker SPEAKER_37
transcript.pyannote[663].start 6426.67221875
transcript.pyannote[663].end 6426.97596875
transcript.pyannote[664].speaker SPEAKER_14
transcript.pyannote[664].start 6426.97596875
transcript.pyannote[664].end 6431.90346875
transcript.pyannote[665].speaker SPEAKER_14
transcript.pyannote[665].start 6432.24096875
transcript.pyannote[665].end 6434.02971875
transcript.pyannote[666].speaker SPEAKER_37
transcript.pyannote[666].start 6434.02971875
transcript.pyannote[666].end 6434.26596875
transcript.pyannote[667].speaker SPEAKER_14
transcript.pyannote[667].start 6434.60346875
transcript.pyannote[667].end 6434.63721875
transcript.pyannote[668].speaker SPEAKER_37
transcript.pyannote[668].start 6434.63721875
transcript.pyannote[668].end 6435.66659375
transcript.pyannote[669].speaker SPEAKER_37
transcript.pyannote[669].start 6435.90284375
transcript.pyannote[669].end 6440.64471875
transcript.pyannote[670].speaker SPEAKER_37
transcript.pyannote[670].start 6440.89784375
transcript.pyannote[670].end 6443.41221875
transcript.pyannote[671].speaker SPEAKER_37
transcript.pyannote[671].start 6443.88471875
transcript.pyannote[671].end 6447.32721875
transcript.pyannote[672].speaker SPEAKER_37
transcript.pyannote[672].start 6447.78284375
transcript.pyannote[672].end 6448.27221875
transcript.pyannote[673].speaker SPEAKER_37
transcript.pyannote[673].start 6448.50846875
transcript.pyannote[673].end 6449.70659375
transcript.pyannote[674].speaker SPEAKER_37
transcript.pyannote[674].start 6449.95971875
transcript.pyannote[674].end 6451.12409375
transcript.pyannote[675].speaker SPEAKER_37
transcript.pyannote[675].start 6451.30971875
transcript.pyannote[675].end 6452.38971875
transcript.pyannote[676].speaker SPEAKER_37
transcript.pyannote[676].start 6452.64284375
transcript.pyannote[676].end 6453.60471875
transcript.pyannote[677].speaker SPEAKER_37
transcript.pyannote[677].start 6453.95909375
transcript.pyannote[677].end 6455.96721875
transcript.pyannote[678].speaker SPEAKER_14
transcript.pyannote[678].start 6455.96721875
transcript.pyannote[678].end 6456.11909375
transcript.pyannote[679].speaker SPEAKER_14
transcript.pyannote[679].start 6456.22034375
transcript.pyannote[679].end 6461.02971875
transcript.pyannote[680].speaker SPEAKER_18
transcript.pyannote[680].start 6461.02971875
transcript.pyannote[680].end 6461.04659375
transcript.pyannote[681].speaker SPEAKER_18
transcript.pyannote[681].start 6461.70471875
transcript.pyannote[681].end 6465.28221875
transcript.pyannote[682].speaker SPEAKER_18
transcript.pyannote[682].start 6465.55221875
transcript.pyannote[682].end 6466.17659375
transcript.pyannote[683].speaker SPEAKER_18
transcript.pyannote[683].start 6466.42971875
transcript.pyannote[683].end 6471.18846875
transcript.pyannote[684].speaker SPEAKER_18
transcript.pyannote[684].start 6471.30659375
transcript.pyannote[684].end 6481.39784375
transcript.pyannote[685].speaker SPEAKER_18
transcript.pyannote[685].start 6481.51596875
transcript.pyannote[685].end 6500.97284375
transcript.pyannote[686].speaker SPEAKER_37
transcript.pyannote[686].start 6496.88909375
transcript.pyannote[686].end 6497.41221875
transcript.pyannote[687].speaker SPEAKER_14
transcript.pyannote[687].start 6500.97284375
transcript.pyannote[687].end 6504.97221875
transcript.pyannote[688].speaker SPEAKER_14
transcript.pyannote[688].start 6505.19159375
transcript.pyannote[688].end 6507.03096875
transcript.pyannote[689].speaker SPEAKER_18
transcript.pyannote[689].start 6507.03096875
transcript.pyannote[689].end 6507.16596875
transcript.pyannote[690].speaker SPEAKER_14
transcript.pyannote[690].start 6507.16596875
transcript.pyannote[690].end 6507.25034375
transcript.pyannote[691].speaker SPEAKER_18
transcript.pyannote[691].start 6507.25034375
transcript.pyannote[691].end 6507.33471875
transcript.pyannote[692].speaker SPEAKER_14
transcript.pyannote[692].start 6507.43596875
transcript.pyannote[692].end 6507.52034375
transcript.pyannote[693].speaker SPEAKER_18
transcript.pyannote[693].start 6507.52034375
transcript.pyannote[693].end 6509.05596875
transcript.pyannote[694].speaker SPEAKER_18
transcript.pyannote[694].start 6509.59596875
transcript.pyannote[694].end 6511.38471875
transcript.pyannote[695].speaker SPEAKER_18
transcript.pyannote[695].start 6512.61659375
transcript.pyannote[695].end 6513.74721875
transcript.pyannote[696].speaker SPEAKER_21
transcript.pyannote[696].start 6512.65034375
transcript.pyannote[696].end 6512.66721875
transcript.pyannote[697].speaker SPEAKER_14
transcript.pyannote[697].start 6512.66721875
transcript.pyannote[697].end 6513.66284375
transcript.pyannote[698].speaker SPEAKER_14
transcript.pyannote[698].start 6513.74721875
transcript.pyannote[698].end 6518.89409375
transcript.pyannote[699].speaker SPEAKER_14
transcript.pyannote[699].start 6518.94471875
transcript.pyannote[699].end 6523.72034375
transcript.pyannote[700].speaker SPEAKER_14
transcript.pyannote[700].start 6523.80471875
transcript.pyannote[700].end 6536.03909375
transcript.pyannote[701].speaker SPEAKER_18
transcript.pyannote[701].start 6527.28096875
transcript.pyannote[701].end 6528.81659375
transcript.pyannote[702].speaker SPEAKER_14
transcript.pyannote[702].start 6536.47784375
transcript.pyannote[702].end 6539.92034375
transcript.pyannote[703].speaker SPEAKER_14
transcript.pyannote[703].start 6540.24096875
transcript.pyannote[703].end 6541.37159375
transcript.pyannote[704].speaker SPEAKER_37
transcript.pyannote[704].start 6541.54034375
transcript.pyannote[704].end 6541.59096875
transcript.pyannote[705].speaker SPEAKER_14
transcript.pyannote[705].start 6541.59096875
transcript.pyannote[705].end 6543.68346875
transcript.pyannote[706].speaker SPEAKER_14
transcript.pyannote[706].start 6543.88596875
transcript.pyannote[706].end 6548.25659375
transcript.pyannote[707].speaker SPEAKER_14
transcript.pyannote[707].start 6548.83034375
transcript.pyannote[707].end 6550.31534375
transcript.pyannote[708].speaker SPEAKER_14
transcript.pyannote[708].start 6550.43346875
transcript.pyannote[708].end 6560.10284375
transcript.pyannote[709].speaker SPEAKER_14
transcript.pyannote[709].start 6560.76096875
transcript.pyannote[709].end 6562.12784375
transcript.pyannote[710].speaker SPEAKER_14
transcript.pyannote[710].start 6563.10659375
transcript.pyannote[710].end 6564.65909375
transcript.pyannote[711].speaker SPEAKER_14
transcript.pyannote[711].start 6565.36784375
transcript.pyannote[711].end 6567.73034375
transcript.pyannote[712].speaker SPEAKER_14
transcript.pyannote[712].start 6568.40534375
transcript.pyannote[712].end 6569.83971875
transcript.pyannote[713].speaker SPEAKER_14
transcript.pyannote[713].start 6569.85659375
transcript.pyannote[713].end 6571.57784375
transcript.pyannote[714].speaker SPEAKER_14
transcript.pyannote[714].start 6572.16846875
transcript.pyannote[714].end 6575.96534375
transcript.pyannote[715].speaker SPEAKER_37
transcript.pyannote[715].start 6575.96534375
transcript.pyannote[715].end 6576.52221875
transcript.pyannote[716].speaker SPEAKER_14
transcript.pyannote[716].start 6576.52221875
transcript.pyannote[716].end 6576.64034375
transcript.pyannote[717].speaker SPEAKER_14
transcript.pyannote[717].start 6576.67409375
transcript.pyannote[717].end 6576.75846875
transcript.pyannote[718].speaker SPEAKER_37
transcript.pyannote[718].start 6576.75846875
transcript.pyannote[718].end 6581.02784375
transcript.pyannote[719].speaker SPEAKER_14
transcript.pyannote[719].start 6581.02784375
transcript.pyannote[719].end 6581.19659375
transcript.pyannote[720].speaker SPEAKER_37
transcript.pyannote[720].start 6581.19659375
transcript.pyannote[720].end 6581.36534375
transcript.pyannote[721].speaker SPEAKER_14
transcript.pyannote[721].start 6581.36534375
transcript.pyannote[721].end 6585.44909375
transcript.pyannote[722].speaker SPEAKER_18
transcript.pyannote[722].start 6585.44909375
transcript.pyannote[722].end 6585.60096875
transcript.pyannote[723].speaker SPEAKER_14
transcript.pyannote[723].start 6585.60096875
transcript.pyannote[723].end 6585.65159375
transcript.pyannote[724].speaker SPEAKER_18
transcript.pyannote[724].start 6585.65159375
transcript.pyannote[724].end 6607.87596875
transcript.pyannote[725].speaker SPEAKER_30
transcript.pyannote[725].start 6596.45159375
transcript.pyannote[725].end 6596.95784375
transcript.pyannote[726].speaker SPEAKER_37
transcript.pyannote[726].start 6607.20096875
transcript.pyannote[726].end 6615.97596875
transcript.pyannote[727].speaker SPEAKER_18
transcript.pyannote[727].start 6608.02784375
transcript.pyannote[727].end 6609.02346875
transcript.pyannote[728].speaker SPEAKER_14
transcript.pyannote[728].start 6615.97596875
transcript.pyannote[728].end 6616.02659375
transcript.pyannote[729].speaker SPEAKER_37
transcript.pyannote[729].start 6616.02659375
transcript.pyannote[729].end 6616.97159375
transcript.pyannote[730].speaker SPEAKER_14
transcript.pyannote[730].start 6616.97159375
transcript.pyannote[730].end 6617.03909375
transcript.pyannote[731].speaker SPEAKER_37
transcript.pyannote[731].start 6617.03909375
transcript.pyannote[731].end 6617.96721875
transcript.pyannote[732].speaker SPEAKER_14
transcript.pyannote[732].start 6617.96721875
transcript.pyannote[732].end 6618.03471875
transcript.pyannote[733].speaker SPEAKER_37
transcript.pyannote[733].start 6618.03471875
transcript.pyannote[733].end 6618.11909375
transcript.pyannote[734].speaker SPEAKER_14
transcript.pyannote[734].start 6618.11909375
transcript.pyannote[734].end 6618.13596875
transcript.pyannote[735].speaker SPEAKER_37
transcript.pyannote[735].start 6618.13596875
transcript.pyannote[735].end 6618.15284375
transcript.pyannote[736].speaker SPEAKER_14
transcript.pyannote[736].start 6618.43971875
transcript.pyannote[736].end 6618.47346875
transcript.pyannote[737].speaker SPEAKER_37
transcript.pyannote[737].start 6618.47346875
transcript.pyannote[737].end 6618.49034375
transcript.pyannote[738].speaker SPEAKER_14
transcript.pyannote[738].start 6618.49034375
transcript.pyannote[738].end 6618.54096875
transcript.pyannote[739].speaker SPEAKER_37
transcript.pyannote[739].start 6618.54096875
transcript.pyannote[739].end 6618.96284375
transcript.pyannote[740].speaker SPEAKER_14
transcript.pyannote[740].start 6618.96284375
transcript.pyannote[740].end 6619.03034375
transcript.pyannote[741].speaker SPEAKER_37
transcript.pyannote[741].start 6619.03034375
transcript.pyannote[741].end 6620.81909375
transcript.pyannote[742].speaker SPEAKER_14
transcript.pyannote[742].start 6621.13971875
transcript.pyannote[742].end 6621.15659375
transcript.pyannote[743].speaker SPEAKER_37
transcript.pyannote[743].start 6621.15659375
transcript.pyannote[743].end 6628.19346875
transcript.pyannote[744].speaker SPEAKER_37
transcript.pyannote[744].start 6628.42971875
transcript.pyannote[744].end 6629.44221875
transcript.pyannote[745].speaker SPEAKER_37
transcript.pyannote[745].start 6629.52659375
transcript.pyannote[745].end 6631.02846875
transcript.pyannote[746].speaker SPEAKER_14
transcript.pyannote[746].start 6631.02846875
transcript.pyannote[746].end 6633.50909375
transcript.pyannote[747].speaker SPEAKER_14
transcript.pyannote[747].start 6633.77909375
transcript.pyannote[747].end 6635.29784375
transcript.pyannote[748].speaker SPEAKER_14
transcript.pyannote[748].start 6635.63534375
transcript.pyannote[748].end 6640.84971875
transcript.pyannote[749].speaker SPEAKER_14
transcript.pyannote[749].start 6641.25471875
transcript.pyannote[749].end 6644.57909375
transcript.pyannote[750].speaker SPEAKER_37
transcript.pyannote[750].start 6644.57909375
transcript.pyannote[750].end 6644.61284375
transcript.pyannote[751].speaker SPEAKER_14
transcript.pyannote[751].start 6644.61284375
transcript.pyannote[751].end 6645.03471875
transcript.pyannote[752].speaker SPEAKER_37
transcript.pyannote[752].start 6645.03471875
transcript.pyannote[752].end 6654.78846875
transcript.pyannote[753].speaker SPEAKER_37
transcript.pyannote[753].start 6654.99096875
transcript.pyannote[753].end 6663.44534375
transcript.pyannote[754].speaker SPEAKER_37
transcript.pyannote[754].start 6663.56346875
transcript.pyannote[754].end 6663.58034375
transcript.pyannote[755].speaker SPEAKER_18
transcript.pyannote[755].start 6663.58034375
transcript.pyannote[755].end 6697.83659375
transcript.pyannote[756].speaker SPEAKER_37
transcript.pyannote[756].start 6696.28409375
transcript.pyannote[756].end 6696.30096875
transcript.pyannote[757].speaker SPEAKER_14
transcript.pyannote[757].start 6696.30096875
transcript.pyannote[757].end 6703.15221875
transcript.pyannote[758].speaker SPEAKER_29
transcript.pyannote[758].start 6703.15221875
transcript.pyannote[758].end 6703.20284375
transcript.pyannote[759].speaker SPEAKER_14
transcript.pyannote[759].start 6703.20284375
transcript.pyannote[759].end 6705.36284375
transcript.pyannote[760].speaker SPEAKER_14
transcript.pyannote[760].start 6705.66659375
transcript.pyannote[760].end 6710.45909375
transcript.pyannote[761].speaker SPEAKER_29
transcript.pyannote[761].start 6705.85221875
transcript.pyannote[761].end 6705.86909375
transcript.pyannote[762].speaker SPEAKER_37
transcript.pyannote[762].start 6705.86909375
transcript.pyannote[762].end 6705.88596875
transcript.pyannote[763].speaker SPEAKER_29
transcript.pyannote[763].start 6705.88596875
transcript.pyannote[763].end 6706.35846875
transcript.pyannote[764].speaker SPEAKER_14
transcript.pyannote[764].start 6710.81346875
transcript.pyannote[764].end 6723.46971875
transcript.pyannote[765].speaker SPEAKER_14
transcript.pyannote[765].start 6723.60471875
transcript.pyannote[765].end 6725.79846875
transcript.pyannote[766].speaker SPEAKER_14
transcript.pyannote[766].start 6726.08534375
transcript.pyannote[766].end 6729.91596875
transcript.pyannote[767].speaker SPEAKER_14
transcript.pyannote[767].start 6730.33784375
transcript.pyannote[767].end 6735.78846875
transcript.pyannote[768].speaker SPEAKER_14
transcript.pyannote[768].start 6736.44659375
transcript.pyannote[768].end 6751.58346875
transcript.pyannote[769].speaker SPEAKER_14
transcript.pyannote[769].start 6751.80284375
transcript.pyannote[769].end 6752.78159375
transcript.pyannote[770].speaker SPEAKER_14
transcript.pyannote[770].start 6753.30471875
transcript.pyannote[770].end 6754.28346875
transcript.pyannote[771].speaker SPEAKER_14
transcript.pyannote[771].start 6755.04284375
transcript.pyannote[771].end 6763.26096875
transcript.pyannote[772].speaker SPEAKER_14
transcript.pyannote[772].start 6763.56471875
transcript.pyannote[772].end 6768.55971875
transcript.pyannote[773].speaker SPEAKER_14
transcript.pyannote[773].start 6768.71159375
transcript.pyannote[773].end 6769.28534375
transcript.pyannote[774].speaker SPEAKER_14
transcript.pyannote[774].start 6769.47096875
transcript.pyannote[774].end 6771.73221875
transcript.pyannote[775].speaker SPEAKER_14
transcript.pyannote[775].start 6772.15409375
transcript.pyannote[775].end 6774.51659375
transcript.pyannote[776].speaker SPEAKER_14
transcript.pyannote[776].start 6774.97221875
transcript.pyannote[776].end 6777.52034375
transcript.pyannote[777].speaker SPEAKER_14
transcript.pyannote[777].start 6777.75659375
transcript.pyannote[777].end 6779.83221875
transcript.pyannote[778].speaker SPEAKER_14
transcript.pyannote[778].start 6780.18659375
transcript.pyannote[778].end 6783.12284375
transcript.pyannote[779].speaker SPEAKER_14
transcript.pyannote[779].start 6783.94971875
transcript.pyannote[779].end 6790.15971875
transcript.pyannote[780].speaker SPEAKER_14
transcript.pyannote[780].start 6790.32846875
transcript.pyannote[780].end 6806.78159375
transcript.pyannote[781].speaker SPEAKER_14
transcript.pyannote[781].start 6807.23721875
transcript.pyannote[781].end 6811.21971875
transcript.pyannote[782].speaker SPEAKER_14
transcript.pyannote[782].start 6811.42221875
transcript.pyannote[782].end 6812.55284375
transcript.pyannote[783].speaker SPEAKER_14
transcript.pyannote[783].start 6812.95784375
transcript.pyannote[783].end 6817.75034375
transcript.pyannote[784].speaker SPEAKER_14
transcript.pyannote[784].start 6818.05409375
transcript.pyannote[784].end 6818.49284375
transcript.pyannote[785].speaker SPEAKER_14
transcript.pyannote[785].start 6819.26909375
transcript.pyannote[785].end 6848.22659375
transcript.pyannote[786].speaker SPEAKER_14
transcript.pyannote[786].start 6848.36159375
transcript.pyannote[786].end 6849.47534375
transcript.pyannote[787].speaker SPEAKER_14
transcript.pyannote[787].start 6849.64409375
transcript.pyannote[787].end 6851.61846875
transcript.pyannote[788].speaker SPEAKER_14
transcript.pyannote[788].start 6852.49596875
transcript.pyannote[788].end 6856.78221875
transcript.pyannote[789].speaker SPEAKER_14
transcript.pyannote[789].start 6857.03534375
transcript.pyannote[789].end 6864.73034375
transcript.pyannote[790].speaker SPEAKER_18
transcript.pyannote[790].start 6864.89909375
transcript.pyannote[790].end 6878.06159375
transcript.pyannote[791].speaker SPEAKER_37
transcript.pyannote[791].start 6878.51721875
transcript.pyannote[791].end 6878.53409375
transcript.pyannote[792].speaker SPEAKER_14
transcript.pyannote[792].start 6878.53409375
transcript.pyannote[792].end 6881.92596875
transcript.pyannote[793].speaker SPEAKER_18
transcript.pyannote[793].start 6879.09096875
transcript.pyannote[793].end 6879.96846875
transcript.pyannote[794].speaker SPEAKER_18
transcript.pyannote[794].start 6880.03596875
transcript.pyannote[794].end 6880.15409375
transcript.pyannote[795].speaker SPEAKER_14
transcript.pyannote[795].start 6882.19596875
transcript.pyannote[795].end 6885.94221875
transcript.pyannote[796].speaker SPEAKER_14
transcript.pyannote[796].start 6886.29659375
transcript.pyannote[796].end 6895.96596875
transcript.pyannote[797].speaker SPEAKER_37
transcript.pyannote[797].start 6895.96596875
transcript.pyannote[797].end 6898.22721875
transcript.pyannote[798].speaker SPEAKER_18
transcript.pyannote[798].start 6898.22721875
transcript.pyannote[798].end 6898.53096875
transcript.pyannote[799].speaker SPEAKER_37
transcript.pyannote[799].start 6898.53096875
transcript.pyannote[799].end 6899.61096875
transcript.pyannote[800].speaker SPEAKER_18
transcript.pyannote[800].start 6899.61096875
transcript.pyannote[800].end 6901.77096875
transcript.pyannote[801].speaker SPEAKER_33
transcript.pyannote[801].start 6902.88471875
transcript.pyannote[801].end 6904.38659375
transcript.pyannote[802].speaker SPEAKER_18
transcript.pyannote[802].start 6904.52159375
transcript.pyannote[802].end 6905.97284375
transcript.pyannote[803].speaker SPEAKER_24
transcript.pyannote[803].start 6905.97284375
transcript.pyannote[803].end 6906.37784375
transcript.pyannote[804].speaker SPEAKER_14
transcript.pyannote[804].start 6906.37784375
transcript.pyannote[804].end 6923.06721875
transcript.pyannote[805].speaker SPEAKER_13
transcript.pyannote[805].start 6923.13471875
transcript.pyannote[805].end 6923.43846875
transcript.pyannote[806].speaker SPEAKER_13
transcript.pyannote[806].start 6924.88971875
transcript.pyannote[806].end 6928.77096875
transcript.pyannote[807].speaker SPEAKER_13
transcript.pyannote[807].start 6928.99034375
transcript.pyannote[807].end 6929.46284375
transcript.pyannote[808].speaker SPEAKER_14
transcript.pyannote[808].start 6929.71596875
transcript.pyannote[808].end 6929.81721875
transcript.pyannote[809].speaker SPEAKER_13
transcript.pyannote[809].start 6929.81721875
transcript.pyannote[809].end 6929.96909375
transcript.pyannote[810].speaker SPEAKER_14
transcript.pyannote[810].start 6929.96909375
transcript.pyannote[810].end 6930.67784375
transcript.pyannote[811].speaker SPEAKER_18
transcript.pyannote[811].start 6935.50409375
transcript.pyannote[811].end 6936.44909375
transcript.pyannote[812].speaker SPEAKER_18
transcript.pyannote[812].start 6936.70221875
transcript.pyannote[812].end 6936.71909375
transcript.pyannote[813].speaker SPEAKER_13
transcript.pyannote[813].start 6936.71909375
transcript.pyannote[813].end 7006.86846875
transcript.pyannote[814].speaker SPEAKER_13
transcript.pyannote[814].start 7006.91909375
transcript.pyannote[814].end 7016.03159375
transcript.pyannote[815].speaker SPEAKER_18
transcript.pyannote[815].start 7016.53784375
transcript.pyannote[815].end 7016.68971875
transcript.pyannote[816].speaker SPEAKER_18
transcript.pyannote[816].start 7016.87534375
transcript.pyannote[816].end 7055.62034375
transcript.pyannote[817].speaker SPEAKER_13
transcript.pyannote[817].start 7054.08471875
transcript.pyannote[817].end 7092.71159375
transcript.pyannote[818].speaker SPEAKER_18
transcript.pyannote[818].start 7092.76221875
transcript.pyannote[818].end 7101.03096875
transcript.pyannote[819].speaker SPEAKER_13
transcript.pyannote[819].start 7101.57096875
transcript.pyannote[819].end 7112.84346875
transcript.pyannote[820].speaker SPEAKER_18
transcript.pyannote[820].start 7112.94471875
transcript.pyannote[820].end 7114.42971875
transcript.pyannote[821].speaker SPEAKER_13
transcript.pyannote[821].start 7114.00784375
transcript.pyannote[821].end 7129.58346875
transcript.pyannote[822].speaker SPEAKER_13
transcript.pyannote[822].start 7129.93784375
transcript.pyannote[822].end 7138.61159375
transcript.pyannote[823].speaker SPEAKER_18
transcript.pyannote[823].start 7138.84784375
transcript.pyannote[823].end 7145.27721875
transcript.pyannote[824].speaker SPEAKER_18
transcript.pyannote[824].start 7145.51346875
transcript.pyannote[824].end 7149.04034375
transcript.pyannote[825].speaker SPEAKER_13
transcript.pyannote[825].start 7148.78721875
transcript.pyannote[825].end 7148.98971875
transcript.pyannote[826].speaker SPEAKER_13
transcript.pyannote[826].start 7149.04034375
transcript.pyannote[826].end 7149.09096875
transcript.pyannote[827].speaker SPEAKER_13
transcript.pyannote[827].start 7149.12471875
transcript.pyannote[827].end 7160.59971875
transcript.pyannote[828].speaker SPEAKER_18
transcript.pyannote[828].start 7160.63346875
transcript.pyannote[828].end 7164.54846875
transcript.pyannote[829].speaker SPEAKER_13
transcript.pyannote[829].start 7164.32909375
transcript.pyannote[829].end 7167.13034375
transcript.pyannote[830].speaker SPEAKER_18
transcript.pyannote[830].start 7165.74659375
transcript.pyannote[830].end 7166.77596875
transcript.pyannote[831].speaker SPEAKER_18
transcript.pyannote[831].start 7167.40034375
transcript.pyannote[831].end 7175.06159375
transcript.pyannote[832].speaker SPEAKER_13
transcript.pyannote[832].start 7175.06159375
transcript.pyannote[832].end 7211.81534375
transcript.pyannote[833].speaker SPEAKER_18
transcript.pyannote[833].start 7175.07846875
transcript.pyannote[833].end 7176.31034375
transcript.pyannote[834].speaker SPEAKER_18
transcript.pyannote[834].start 7177.86284375
transcript.pyannote[834].end 7178.18346875
transcript.pyannote[835].speaker SPEAKER_15
transcript.pyannote[835].start 7178.18346875
transcript.pyannote[835].end 7178.21721875
transcript.pyannote[836].speaker SPEAKER_13
transcript.pyannote[836].start 7212.08534375
transcript.pyannote[836].end 7219.24034375
transcript.pyannote[837].speaker SPEAKER_13
transcript.pyannote[837].start 7219.61159375
transcript.pyannote[837].end 7222.88534375
transcript.pyannote[838].speaker SPEAKER_18
transcript.pyannote[838].start 7222.90221875
transcript.pyannote[838].end 7224.38721875
transcript.pyannote[839].speaker SPEAKER_13
transcript.pyannote[839].start 7223.84721875
transcript.pyannote[839].end 7227.15471875
transcript.pyannote[840].speaker SPEAKER_18
transcript.pyannote[840].start 7225.95659375
transcript.pyannote[840].end 7235.23784375
transcript.pyannote[841].speaker SPEAKER_13
transcript.pyannote[841].start 7234.90034375
transcript.pyannote[841].end 7239.38909375
transcript.pyannote[842].speaker SPEAKER_18
transcript.pyannote[842].start 7238.95034375
transcript.pyannote[842].end 7239.74346875
transcript.pyannote[843].speaker SPEAKER_13
transcript.pyannote[843].start 7239.57471875
transcript.pyannote[843].end 7251.70784375
transcript.pyannote[844].speaker SPEAKER_18
transcript.pyannote[844].start 7251.79221875
transcript.pyannote[844].end 7255.82534375
transcript.pyannote[845].speaker SPEAKER_13
transcript.pyannote[845].start 7254.54284375
transcript.pyannote[845].end 7258.06971875
transcript.pyannote[846].speaker SPEAKER_18
transcript.pyannote[846].start 7257.56346875
transcript.pyannote[846].end 7259.04846875
transcript.pyannote[847].speaker SPEAKER_13
transcript.pyannote[847].start 7258.60971875
transcript.pyannote[847].end 7265.05596875
transcript.pyannote[848].speaker SPEAKER_18
transcript.pyannote[848].start 7263.01409375
transcript.pyannote[848].end 7263.30096875
transcript.pyannote[849].speaker SPEAKER_18
transcript.pyannote[849].start 7265.19096875
transcript.pyannote[849].end 7276.34534375
transcript.pyannote[850].speaker SPEAKER_13
transcript.pyannote[850].start 7276.58159375
transcript.pyannote[850].end 7298.16471875
transcript.pyannote[851].speaker SPEAKER_13
transcript.pyannote[851].start 7298.33346875
transcript.pyannote[851].end 7351.57409375
transcript.pyannote[852].speaker SPEAKER_18
transcript.pyannote[852].start 7351.82721875
transcript.pyannote[852].end 7353.85221875
transcript.pyannote[853].speaker SPEAKER_13
transcript.pyannote[853].start 7353.85221875
transcript.pyannote[853].end 7355.43846875
transcript.pyannote[854].speaker SPEAKER_18
transcript.pyannote[854].start 7355.48909375
transcript.pyannote[854].end 7356.21471875
transcript.pyannote[855].speaker SPEAKER_18
transcript.pyannote[855].start 7356.55221875
transcript.pyannote[855].end 7372.56659375
transcript.pyannote[856].speaker SPEAKER_18
transcript.pyannote[856].start 7372.90409375
transcript.pyannote[856].end 7399.27971875
transcript.pyannote[857].speaker SPEAKER_13
transcript.pyannote[857].start 7400.17409375
transcript.pyannote[857].end 7409.48909375
transcript.pyannote[858].speaker SPEAKER_13
transcript.pyannote[858].start 7409.80971875
transcript.pyannote[858].end 7423.25909375
transcript.pyannote[859].speaker SPEAKER_13
transcript.pyannote[859].start 7423.84971875
transcript.pyannote[859].end 7428.97971875
transcript.pyannote[860].speaker SPEAKER_13
transcript.pyannote[860].start 7429.38471875
transcript.pyannote[860].end 7430.93721875
transcript.pyannote[861].speaker SPEAKER_13
transcript.pyannote[861].start 7431.79784375
transcript.pyannote[861].end 7436.52284375
transcript.pyannote[862].speaker SPEAKER_13
transcript.pyannote[862].start 7437.18096875
transcript.pyannote[862].end 7451.89596875
transcript.pyannote[863].speaker SPEAKER_18
transcript.pyannote[863].start 7452.90846875
transcript.pyannote[863].end 7456.84034375
transcript.pyannote[864].speaker SPEAKER_18
transcript.pyannote[864].start 7457.16096875
transcript.pyannote[864].end 7460.04659375
transcript.pyannote[865].speaker SPEAKER_13
transcript.pyannote[865].start 7457.21159375
transcript.pyannote[865].end 7458.62909375
transcript.pyannote[866].speaker SPEAKER_13
transcript.pyannote[866].start 7459.18596875
transcript.pyannote[866].end 7460.45159375
transcript.pyannote[867].speaker SPEAKER_18
transcript.pyannote[867].start 7460.55284375
transcript.pyannote[867].end 7461.26159375
transcript.pyannote[868].speaker SPEAKER_13
transcript.pyannote[868].start 7461.78471875
transcript.pyannote[868].end 7463.64096875
transcript.pyannote[869].speaker SPEAKER_18
transcript.pyannote[869].start 7463.40471875
transcript.pyannote[869].end 7463.75909375
transcript.pyannote[870].speaker SPEAKER_13
transcript.pyannote[870].start 7464.78846875
transcript.pyannote[870].end 7469.54721875
transcript.pyannote[871].speaker SPEAKER_18
transcript.pyannote[871].start 7470.15471875
transcript.pyannote[871].end 7474.30596875
transcript.pyannote[872].speaker SPEAKER_18
transcript.pyannote[872].start 7474.60971875
transcript.pyannote[872].end 7475.48721875
transcript.pyannote[873].speaker SPEAKER_13
transcript.pyannote[873].start 7476.65159375
transcript.pyannote[873].end 7478.44034375
transcript.pyannote[874].speaker SPEAKER_13
transcript.pyannote[874].start 7479.18284375
transcript.pyannote[874].end 7479.65534375
transcript.pyannote[875].speaker SPEAKER_18
transcript.pyannote[875].start 7480.26284375
transcript.pyannote[875].end 7481.24159375
transcript.pyannote[876].speaker SPEAKER_18
transcript.pyannote[876].start 7482.57471875
transcript.pyannote[876].end 7483.09784375
transcript.pyannote[877].speaker SPEAKER_18
transcript.pyannote[877].start 7483.31721875
transcript.pyannote[877].end 7485.74721875
transcript.pyannote[878].speaker SPEAKER_13
transcript.pyannote[878].start 7484.86971875
transcript.pyannote[878].end 7498.13346875
transcript.pyannote[879].speaker SPEAKER_13
transcript.pyannote[879].start 7498.65659375
transcript.pyannote[879].end 7499.73659375
transcript.pyannote[880].speaker SPEAKER_13
transcript.pyannote[880].start 7500.64784375
transcript.pyannote[880].end 7503.04409375
transcript.pyannote[881].speaker SPEAKER_18
transcript.pyannote[881].start 7503.34784375
transcript.pyannote[881].end 7514.19846875
transcript.pyannote[882].speaker SPEAKER_13
transcript.pyannote[882].start 7514.35034375
transcript.pyannote[882].end 7528.76159375
transcript.pyannote[883].speaker SPEAKER_13
transcript.pyannote[883].start 7529.55471875
transcript.pyannote[883].end 7538.83596875
transcript.pyannote[884].speaker SPEAKER_13
transcript.pyannote[884].start 7538.90346875
transcript.pyannote[884].end 7542.09284375
transcript.pyannote[885].speaker SPEAKER_13
transcript.pyannote[885].start 7542.46409375
transcript.pyannote[885].end 7543.34159375
transcript.pyannote[886].speaker SPEAKER_13
transcript.pyannote[886].start 7543.57784375
transcript.pyannote[886].end 7557.85409375
transcript.pyannote[887].speaker SPEAKER_18
transcript.pyannote[887].start 7558.12409375
transcript.pyannote[887].end 7569.73409375
transcript.pyannote[888].speaker SPEAKER_30
transcript.pyannote[888].start 7565.71784375
transcript.pyannote[888].end 7565.73471875
transcript.pyannote[889].speaker SPEAKER_13
transcript.pyannote[889].start 7565.73471875
transcript.pyannote[889].end 7566.81471875
transcript.pyannote[890].speaker SPEAKER_30
transcript.pyannote[890].start 7566.81471875
transcript.pyannote[890].end 7566.86534375
transcript.pyannote[891].speaker SPEAKER_13
transcript.pyannote[891].start 7569.73409375
transcript.pyannote[891].end 7576.26471875
transcript.pyannote[892].speaker SPEAKER_13
transcript.pyannote[892].start 7576.53471875
transcript.pyannote[892].end 7584.87096875
transcript.pyannote[893].speaker SPEAKER_13
transcript.pyannote[893].start 7585.46159375
transcript.pyannote[893].end 7598.25284375
transcript.pyannote[894].speaker SPEAKER_18
transcript.pyannote[894].start 7598.53971875
transcript.pyannote[894].end 7611.76971875
transcript.pyannote[895].speaker SPEAKER_13
transcript.pyannote[895].start 7612.46159375
transcript.pyannote[895].end 7615.39784375
transcript.pyannote[896].speaker SPEAKER_18
transcript.pyannote[896].start 7615.06034375
transcript.pyannote[896].end 7618.14846875
transcript.pyannote[897].speaker SPEAKER_18
transcript.pyannote[897].start 7618.33409375
transcript.pyannote[897].end 7618.62096875
transcript.pyannote[898].speaker SPEAKER_13
transcript.pyannote[898].start 7620.10596875
transcript.pyannote[898].end 7620.40971875
transcript.pyannote[899].speaker SPEAKER_13
transcript.pyannote[899].start 7620.71346875
transcript.pyannote[899].end 7623.26159375
transcript.pyannote[900].speaker SPEAKER_14
transcript.pyannote[900].start 7624.88159375
transcript.pyannote[900].end 7624.93221875
transcript.pyannote[901].speaker SPEAKER_13
transcript.pyannote[901].start 7624.93221875
transcript.pyannote[901].end 7625.03346875
transcript.pyannote[902].speaker SPEAKER_14
transcript.pyannote[902].start 7625.03346875
transcript.pyannote[902].end 7625.13471875
transcript.pyannote[903].speaker SPEAKER_14
transcript.pyannote[903].start 7625.47221875
transcript.pyannote[903].end 7627.32846875
transcript.pyannote[904].speaker SPEAKER_14
transcript.pyannote[904].start 7627.41284375
transcript.pyannote[904].end 7627.56471875
transcript.pyannote[905].speaker SPEAKER_14
transcript.pyannote[905].start 7628.37471875
transcript.pyannote[905].end 7631.64846875
transcript.pyannote[906].speaker SPEAKER_21
transcript.pyannote[906].start 7643.34284375
transcript.pyannote[906].end 7645.36784375
transcript.pyannote[907].speaker SPEAKER_14
transcript.pyannote[907].start 7645.55346875
transcript.pyannote[907].end 7646.58284375
transcript.pyannote[908].speaker SPEAKER_21
transcript.pyannote[908].start 7651.40909375
transcript.pyannote[908].end 7652.38784375
transcript.pyannote[909].speaker SPEAKER_21
transcript.pyannote[909].start 7653.60284375
transcript.pyannote[909].end 7654.73346875
transcript.pyannote[910].speaker SPEAKER_21
transcript.pyannote[910].start 7654.95284375
transcript.pyannote[910].end 7657.34909375
transcript.pyannote[911].speaker SPEAKER_21
transcript.pyannote[911].start 7657.73721875
transcript.pyannote[911].end 7684.85534375
transcript.pyannote[912].speaker SPEAKER_21
transcript.pyannote[912].start 7685.05784375
transcript.pyannote[912].end 7689.37784375
transcript.pyannote[913].speaker SPEAKER_21
transcript.pyannote[913].start 7689.54659375
transcript.pyannote[913].end 7702.94534375
transcript.pyannote[914].speaker SPEAKER_21
transcript.pyannote[914].start 7703.60346875
transcript.pyannote[914].end 7721.72721875
transcript.pyannote[915].speaker SPEAKER_18
transcript.pyannote[915].start 7722.63846875
transcript.pyannote[915].end 7737.16784375
transcript.pyannote[916].speaker SPEAKER_21
transcript.pyannote[916].start 7737.87659375
transcript.pyannote[916].end 7737.94409375
transcript.pyannote[917].speaker SPEAKER_18
transcript.pyannote[917].start 7737.94409375
transcript.pyannote[917].end 7737.97784375
transcript.pyannote[918].speaker SPEAKER_21
transcript.pyannote[918].start 7737.97784375
transcript.pyannote[918].end 7752.49034375
transcript.pyannote[919].speaker SPEAKER_18
transcript.pyannote[919].start 7738.66971875
transcript.pyannote[919].end 7738.68659375
transcript.pyannote[920].speaker SPEAKER_18
transcript.pyannote[920].start 7738.72034375
transcript.pyannote[920].end 7740.96471875
transcript.pyannote[921].speaker SPEAKER_18
transcript.pyannote[921].start 7742.61846875
transcript.pyannote[921].end 7743.59721875
transcript.pyannote[922].speaker SPEAKER_18
transcript.pyannote[922].start 7746.29721875
transcript.pyannote[922].end 7747.02284375
transcript.pyannote[923].speaker SPEAKER_14
transcript.pyannote[923].start 7747.02284375
transcript.pyannote[923].end 7747.03971875
transcript.pyannote[924].speaker SPEAKER_18
transcript.pyannote[924].start 7747.03971875
transcript.pyannote[924].end 7748.71034375
transcript.pyannote[925].speaker SPEAKER_20
transcript.pyannote[925].start 7748.71034375
transcript.pyannote[925].end 7748.74409375
transcript.pyannote[926].speaker SPEAKER_18
transcript.pyannote[926].start 7749.46971875
transcript.pyannote[926].end 7751.86596875
transcript.pyannote[927].speaker SPEAKER_18
transcript.pyannote[927].start 7752.49034375
transcript.pyannote[927].end 7762.96971875
transcript.pyannote[928].speaker SPEAKER_21
transcript.pyannote[928].start 7752.65909375
transcript.pyannote[928].end 7759.22346875
transcript.pyannote[929].speaker SPEAKER_21
transcript.pyannote[929].start 7761.06284375
transcript.pyannote[929].end 7762.41284375
transcript.pyannote[930].speaker SPEAKER_21
transcript.pyannote[930].start 7762.96971875
transcript.pyannote[930].end 7784.72159375
transcript.pyannote[931].speaker SPEAKER_18
transcript.pyannote[931].start 7765.31534375
transcript.pyannote[931].end 7767.96471875
transcript.pyannote[932].speaker SPEAKER_07
transcript.pyannote[932].start 7767.96471875
transcript.pyannote[932].end 7769.28096875
transcript.pyannote[933].speaker SPEAKER_30
transcript.pyannote[933].start 7769.28096875
transcript.pyannote[933].end 7769.29784375
transcript.pyannote[934].speaker SPEAKER_07
transcript.pyannote[934].start 7769.29784375
transcript.pyannote[934].end 7769.41596875
transcript.pyannote[935].speaker SPEAKER_30
transcript.pyannote[935].start 7769.70284375
transcript.pyannote[935].end 7769.71971875
transcript.pyannote[936].speaker SPEAKER_07
transcript.pyannote[936].start 7769.71971875
transcript.pyannote[936].end 7769.97284375
transcript.pyannote[937].speaker SPEAKER_30
transcript.pyannote[937].start 7769.97284375
transcript.pyannote[937].end 7770.52971875
transcript.pyannote[938].speaker SPEAKER_00
transcript.pyannote[938].start 7770.52971875
transcript.pyannote[938].end 7770.59721875
transcript.pyannote[939].speaker SPEAKER_30
transcript.pyannote[939].start 7772.21721875
transcript.pyannote[939].end 7774.02284375
transcript.pyannote[940].speaker SPEAKER_07
transcript.pyannote[940].start 7774.02284375
transcript.pyannote[940].end 7774.09034375
transcript.pyannote[941].speaker SPEAKER_30
transcript.pyannote[941].start 7774.09034375
transcript.pyannote[941].end 7774.17471875
transcript.pyannote[942].speaker SPEAKER_07
transcript.pyannote[942].start 7774.17471875
transcript.pyannote[942].end 7774.19159375
transcript.pyannote[943].speaker SPEAKER_30
transcript.pyannote[943].start 7774.19159375
transcript.pyannote[943].end 7774.22534375
transcript.pyannote[944].speaker SPEAKER_07
transcript.pyannote[944].start 7774.22534375
transcript.pyannote[944].end 7774.34346875
transcript.pyannote[945].speaker SPEAKER_30
transcript.pyannote[945].start 7774.34346875
transcript.pyannote[945].end 7774.51221875
transcript.pyannote[946].speaker SPEAKER_18
transcript.pyannote[946].start 7777.61721875
transcript.pyannote[946].end 7780.63784375
transcript.pyannote[947].speaker SPEAKER_18
transcript.pyannote[947].start 7781.92034375
transcript.pyannote[947].end 7792.97346875
transcript.pyannote[948].speaker SPEAKER_21
transcript.pyannote[948].start 7792.97346875
transcript.pyannote[948].end 7837.11846875
transcript.pyannote[949].speaker SPEAKER_21
transcript.pyannote[949].start 7837.67534375
transcript.pyannote[949].end 7840.72971875
transcript.pyannote[950].speaker SPEAKER_21
transcript.pyannote[950].start 7840.83096875
transcript.pyannote[950].end 7918.03409375
transcript.pyannote[951].speaker SPEAKER_18
transcript.pyannote[951].start 7918.03409375
transcript.pyannote[951].end 7927.23096875
transcript.pyannote[952].speaker SPEAKER_21
transcript.pyannote[952].start 7924.98659375
transcript.pyannote[952].end 7946.82284375
transcript.pyannote[953].speaker SPEAKER_18
transcript.pyannote[953].start 7931.09534375
transcript.pyannote[953].end 7931.43284375
transcript.pyannote[954].speaker SPEAKER_18
transcript.pyannote[954].start 7945.40534375
transcript.pyannote[954].end 7952.42534375
transcript.pyannote[955].speaker SPEAKER_21
transcript.pyannote[955].start 7951.53096875
transcript.pyannote[955].end 8006.86409375
transcript.pyannote[956].speaker SPEAKER_21
transcript.pyannote[956].start 8007.18471875
transcript.pyannote[956].end 8013.02346875
transcript.pyannote[957].speaker SPEAKER_18
transcript.pyannote[957].start 8013.02346875
transcript.pyannote[957].end 8029.00409375
transcript.pyannote[958].speaker SPEAKER_21
transcript.pyannote[958].start 8027.43471875
transcript.pyannote[958].end 8038.60596875
transcript.pyannote[959].speaker SPEAKER_18
transcript.pyannote[959].start 8030.60721875
transcript.pyannote[959].end 8033.96534375
transcript.pyannote[960].speaker SPEAKER_18
transcript.pyannote[960].start 8035.14659375
transcript.pyannote[960].end 8054.97471875
transcript.pyannote[961].speaker SPEAKER_21
transcript.pyannote[961].start 8040.32721875
transcript.pyannote[961].end 8043.83721875
transcript.pyannote[962].speaker SPEAKER_21
transcript.pyannote[962].start 8044.25909375
transcript.pyannote[962].end 8046.26721875
transcript.pyannote[963].speaker SPEAKER_21
transcript.pyannote[963].start 8052.02159375
transcript.pyannote[963].end 8090.02409375
transcript.pyannote[964].speaker SPEAKER_18
transcript.pyannote[964].start 8055.29534375
transcript.pyannote[964].end 8059.00784375
transcript.pyannote[965].speaker SPEAKER_18
transcript.pyannote[965].start 8090.02409375
transcript.pyannote[965].end 8104.35096875
transcript.pyannote[966].speaker SPEAKER_21
transcript.pyannote[966].start 8100.62159375
transcript.pyannote[966].end 8115.74159375
transcript.pyannote[967].speaker SPEAKER_07
transcript.pyannote[967].start 8104.35096875
transcript.pyannote[967].end 8104.43534375
transcript.pyannote[968].speaker SPEAKER_18
transcript.pyannote[968].start 8104.43534375
transcript.pyannote[968].end 8104.48596875
transcript.pyannote[969].speaker SPEAKER_07
transcript.pyannote[969].start 8104.48596875
transcript.pyannote[969].end 8104.51971875
transcript.pyannote[970].speaker SPEAKER_18
transcript.pyannote[970].start 8104.51971875
transcript.pyannote[970].end 8104.77284375
transcript.pyannote[971].speaker SPEAKER_07
transcript.pyannote[971].start 8104.77284375
transcript.pyannote[971].end 8104.78971875
transcript.pyannote[972].speaker SPEAKER_18
transcript.pyannote[972].start 8104.78971875
transcript.pyannote[972].end 8104.80659375
transcript.pyannote[973].speaker SPEAKER_07
transcript.pyannote[973].start 8106.88221875
transcript.pyannote[973].end 8108.99159375
transcript.pyannote[974].speaker SPEAKER_18
transcript.pyannote[974].start 8113.48034375
transcript.pyannote[974].end 8117.41221875
transcript.pyannote[975].speaker SPEAKER_21
transcript.pyannote[975].start 8117.04096875
transcript.pyannote[975].end 8149.12034375
transcript.pyannote[976].speaker SPEAKER_18
transcript.pyannote[976].start 8118.28971875
transcript.pyannote[976].end 8120.01096875
transcript.pyannote[977].speaker SPEAKER_18
transcript.pyannote[977].start 8147.92221875
transcript.pyannote[977].end 8174.14596875
transcript.pyannote[978].speaker SPEAKER_07
transcript.pyannote[978].start 8157.47346875
transcript.pyannote[978].end 8164.40909375
transcript.pyannote[979].speaker SPEAKER_21
transcript.pyannote[979].start 8172.07034375
transcript.pyannote[979].end 8207.03534375
transcript.pyannote[980].speaker SPEAKER_18
transcript.pyannote[980].start 8175.44534375
transcript.pyannote[980].end 8176.20471875
transcript.pyannote[981].speaker SPEAKER_18
transcript.pyannote[981].start 8177.45346875
transcript.pyannote[981].end 8178.26346875
transcript.pyannote[982].speaker SPEAKER_37
transcript.pyannote[982].start 8178.26346875
transcript.pyannote[982].end 8178.44909375
transcript.pyannote[983].speaker SPEAKER_18
transcript.pyannote[983].start 8178.44909375
transcript.pyannote[983].end 8178.46596875
transcript.pyannote[984].speaker SPEAKER_37
transcript.pyannote[984].start 8178.46596875
transcript.pyannote[984].end 8178.53346875
transcript.pyannote[985].speaker SPEAKER_18
transcript.pyannote[985].start 8178.53346875
transcript.pyannote[985].end 8178.97221875
transcript.pyannote[986].speaker SPEAKER_00
transcript.pyannote[986].start 8178.97221875
transcript.pyannote[986].end 8180.28846875
transcript.pyannote[987].speaker SPEAKER_00
transcript.pyannote[987].start 8181.75659375
transcript.pyannote[987].end 8181.79034375
transcript.pyannote[988].speaker SPEAKER_18
transcript.pyannote[988].start 8181.79034375
transcript.pyannote[988].end 8183.37659375
transcript.pyannote[989].speaker SPEAKER_00
transcript.pyannote[989].start 8184.59159375
transcript.pyannote[989].end 8184.60846875
transcript.pyannote[990].speaker SPEAKER_18
transcript.pyannote[990].start 8184.60846875
transcript.pyannote[990].end 8185.67159375
transcript.pyannote[991].speaker SPEAKER_18
transcript.pyannote[991].start 8189.70471875
transcript.pyannote[991].end 8190.97034375
transcript.pyannote[992].speaker SPEAKER_00
transcript.pyannote[992].start 8190.97034375
transcript.pyannote[992].end 8191.67909375
transcript.pyannote[993].speaker SPEAKER_30
transcript.pyannote[993].start 8191.67909375
transcript.pyannote[993].end 8191.69596875
transcript.pyannote[994].speaker SPEAKER_00
transcript.pyannote[994].start 8191.69596875
transcript.pyannote[994].end 8192.03346875
transcript.pyannote[995].speaker SPEAKER_00
transcript.pyannote[995].start 8193.02909375
transcript.pyannote[995].end 8194.83471875
transcript.pyannote[996].speaker SPEAKER_15
transcript.pyannote[996].start 8205.34784375
transcript.pyannote[996].end 8205.49971875
transcript.pyannote[997].speaker SPEAKER_18
transcript.pyannote[997].start 8207.03534375
transcript.pyannote[997].end 8237.96721875
transcript.pyannote[998].speaker SPEAKER_21
transcript.pyannote[998].start 8228.61846875
transcript.pyannote[998].end 8270.95784375
transcript.pyannote[999].speaker SPEAKER_21
transcript.pyannote[999].start 8270.97471875
transcript.pyannote[999].end 8313.85409375
transcript.pyannote[1000].speaker SPEAKER_18
transcript.pyannote[1000].start 8313.85409375
transcript.pyannote[1000].end 8317.09409375
transcript.pyannote[1001].speaker SPEAKER_18
transcript.pyannote[1001].start 8319.94596875
transcript.pyannote[1001].end 8319.96284375
transcript.pyannote[1002].speaker SPEAKER_24
transcript.pyannote[1002].start 8319.96284375
transcript.pyannote[1002].end 8322.29159375
transcript.pyannote[1003].speaker SPEAKER_24
transcript.pyannote[1003].start 8325.56534375
transcript.pyannote[1003].end 8329.39596875
transcript.pyannote[1004].speaker SPEAKER_14
transcript.pyannote[1004].start 8329.39596875
transcript.pyannote[1004].end 8329.41284375
transcript.pyannote[1005].speaker SPEAKER_10
transcript.pyannote[1005].start 8332.11284375
transcript.pyannote[1005].end 8334.12096875
transcript.pyannote[1006].speaker SPEAKER_24
transcript.pyannote[1006].start 8334.50909375
transcript.pyannote[1006].end 8335.70721875
transcript.pyannote[1007].speaker SPEAKER_18
transcript.pyannote[1007].start 8335.70721875
transcript.pyannote[1007].end 8335.72409375
transcript.pyannote[1008].speaker SPEAKER_18
transcript.pyannote[1008].start 8340.31409375
transcript.pyannote[1008].end 8341.73159375
transcript.pyannote[1009].speaker SPEAKER_10
transcript.pyannote[1009].start 8342.69346875
transcript.pyannote[1009].end 8360.00721875
transcript.pyannote[1010].speaker SPEAKER_10
transcript.pyannote[1010].start 8360.14221875
transcript.pyannote[1010].end 8361.57659375
transcript.pyannote[1011].speaker SPEAKER_10
transcript.pyannote[1011].start 8361.94784375
transcript.pyannote[1011].end 8374.13159375
transcript.pyannote[1012].speaker SPEAKER_10
transcript.pyannote[1012].start 8374.24971875
transcript.pyannote[1012].end 8375.51534375
transcript.pyannote[1013].speaker SPEAKER_10
transcript.pyannote[1013].start 8375.97096875
transcript.pyannote[1013].end 8378.48534375
transcript.pyannote[1014].speaker SPEAKER_10
transcript.pyannote[1014].start 8378.78909375
transcript.pyannote[1014].end 8380.10534375
transcript.pyannote[1015].speaker SPEAKER_10
transcript.pyannote[1015].start 8380.51034375
transcript.pyannote[1015].end 8382.07971875
transcript.pyannote[1016].speaker SPEAKER_10
transcript.pyannote[1016].start 8382.53534375
transcript.pyannote[1016].end 8387.47971875
transcript.pyannote[1017].speaker SPEAKER_10
transcript.pyannote[1017].start 8388.10409375
transcript.pyannote[1017].end 8396.33909375
transcript.pyannote[1018].speaker SPEAKER_10
transcript.pyannote[1018].start 8397.06471875
transcript.pyannote[1018].end 8399.73096875
transcript.pyannote[1019].speaker SPEAKER_10
transcript.pyannote[1019].start 8400.72659375
transcript.pyannote[1019].end 8409.18096875
transcript.pyannote[1020].speaker SPEAKER_10
transcript.pyannote[1020].start 8409.75471875
transcript.pyannote[1020].end 8411.15534375
transcript.pyannote[1021].speaker SPEAKER_10
transcript.pyannote[1021].start 8411.40846875
transcript.pyannote[1021].end 8411.99909375
transcript.pyannote[1022].speaker SPEAKER_10
transcript.pyannote[1022].start 8412.25221875
transcript.pyannote[1022].end 8414.20971875
transcript.pyannote[1023].speaker SPEAKER_10
transcript.pyannote[1023].start 8414.93534375
transcript.pyannote[1023].end 8418.22596875
transcript.pyannote[1024].speaker SPEAKER_10
transcript.pyannote[1024].start 8418.61409375
transcript.pyannote[1024].end 8419.01909375
transcript.pyannote[1025].speaker SPEAKER_10
transcript.pyannote[1025].start 8419.47471875
transcript.pyannote[1025].end 8421.98909375
transcript.pyannote[1026].speaker SPEAKER_10
transcript.pyannote[1026].start 8422.66409375
transcript.pyannote[1026].end 8423.77784375
transcript.pyannote[1027].speaker SPEAKER_10
transcript.pyannote[1027].start 8424.26721875
transcript.pyannote[1027].end 8430.12284375
transcript.pyannote[1028].speaker SPEAKER_10
transcript.pyannote[1028].start 8430.46034375
transcript.pyannote[1028].end 8435.77596875
transcript.pyannote[1029].speaker SPEAKER_10
transcript.pyannote[1029].start 8436.06284375
transcript.pyannote[1029].end 8437.22721875
transcript.pyannote[1030].speaker SPEAKER_10
transcript.pyannote[1030].start 8437.69971875
transcript.pyannote[1030].end 8438.47596875
transcript.pyannote[1031].speaker SPEAKER_10
transcript.pyannote[1031].start 8438.61096875
transcript.pyannote[1031].end 8440.12971875
transcript.pyannote[1032].speaker SPEAKER_10
transcript.pyannote[1032].start 8440.48409375
transcript.pyannote[1032].end 8443.96034375
transcript.pyannote[1033].speaker SPEAKER_10
transcript.pyannote[1033].start 8444.36534375
transcript.pyannote[1033].end 8446.67721875
transcript.pyannote[1034].speaker SPEAKER_10
transcript.pyannote[1034].start 8447.50409375
transcript.pyannote[1034].end 8449.17471875
transcript.pyannote[1035].speaker SPEAKER_10
transcript.pyannote[1035].start 8449.34346875
transcript.pyannote[1035].end 8450.28846875
transcript.pyannote[1036].speaker SPEAKER_10
transcript.pyannote[1036].start 8451.04784375
transcript.pyannote[1036].end 8453.61284375
transcript.pyannote[1037].speaker SPEAKER_10
transcript.pyannote[1037].start 8454.08534375
transcript.pyannote[1037].end 8454.50721875
transcript.pyannote[1038].speaker SPEAKER_10
transcript.pyannote[1038].start 8455.78971875
transcript.pyannote[1038].end 8470.30221875
transcript.pyannote[1039].speaker SPEAKER_10
transcript.pyannote[1039].start 8470.69034375
transcript.pyannote[1039].end 8471.19659375
transcript.pyannote[1040].speaker SPEAKER_10
transcript.pyannote[1040].start 8472.19221875
transcript.pyannote[1040].end 8480.79846875
transcript.pyannote[1041].speaker SPEAKER_10
transcript.pyannote[1041].start 8481.30471875
transcript.pyannote[1041].end 8483.46471875
transcript.pyannote[1042].speaker SPEAKER_10
transcript.pyannote[1042].start 8483.81909375
transcript.pyannote[1042].end 8490.53534375
transcript.pyannote[1043].speaker SPEAKER_10
transcript.pyannote[1043].start 8491.22721875
transcript.pyannote[1043].end 8492.18909375
transcript.pyannote[1044].speaker SPEAKER_10
transcript.pyannote[1044].start 8492.49284375
transcript.pyannote[1044].end 8493.53909375
transcript.pyannote[1045].speaker SPEAKER_10
transcript.pyannote[1045].start 8493.80909375
transcript.pyannote[1045].end 8504.79471875
transcript.pyannote[1046].speaker SPEAKER_10
transcript.pyannote[1046].start 8505.16596875
transcript.pyannote[1046].end 8508.10221875
transcript.pyannote[1047].speaker SPEAKER_10
transcript.pyannote[1047].start 8508.55784375
transcript.pyannote[1047].end 8509.03034375
transcript.pyannote[1048].speaker SPEAKER_10
transcript.pyannote[1048].start 8509.65471875
transcript.pyannote[1048].end 8511.74721875
transcript.pyannote[1049].speaker SPEAKER_10
transcript.pyannote[1049].start 8512.33784375
transcript.pyannote[1049].end 8538.25784375
transcript.pyannote[1050].speaker SPEAKER_10
transcript.pyannote[1050].start 8538.42659375
transcript.pyannote[1050].end 8543.26971875
transcript.pyannote[1051].speaker SPEAKER_10
transcript.pyannote[1051].start 8543.69159375
transcript.pyannote[1051].end 8548.70346875
transcript.pyannote[1052].speaker SPEAKER_10
transcript.pyannote[1052].start 8549.19284375
transcript.pyannote[1052].end 8549.78346875
transcript.pyannote[1053].speaker SPEAKER_10
transcript.pyannote[1053].start 8550.27284375
transcript.pyannote[1053].end 8558.94659375
transcript.pyannote[1054].speaker SPEAKER_10
transcript.pyannote[1054].start 8559.40221875
transcript.pyannote[1054].end 8563.11471875
transcript.pyannote[1055].speaker SPEAKER_10
transcript.pyannote[1055].start 8563.41846875
transcript.pyannote[1055].end 8571.06284375
transcript.pyannote[1056].speaker SPEAKER_10
transcript.pyannote[1056].start 8571.87284375
transcript.pyannote[1056].end 8582.18346875
transcript.pyannote[1057].speaker SPEAKER_10
transcript.pyannote[1057].start 8582.43659375
transcript.pyannote[1057].end 8609.60534375
transcript.pyannote[1058].speaker SPEAKER_10
transcript.pyannote[1058].start 8610.17909375
transcript.pyannote[1058].end 8618.41409375
transcript.pyannote[1059].speaker SPEAKER_10
transcript.pyannote[1059].start 8618.44784375
transcript.pyannote[1059].end 8618.46471875
transcript.pyannote[1060].speaker SPEAKER_10
transcript.pyannote[1060].start 8618.49846875
transcript.pyannote[1060].end 8626.88534375
transcript.pyannote[1061].speaker SPEAKER_10
transcript.pyannote[1061].start 8627.72909375
transcript.pyannote[1061].end 8629.26471875
transcript.pyannote[1062].speaker SPEAKER_10
transcript.pyannote[1062].start 8629.31534375
transcript.pyannote[1062].end 8630.34471875
transcript.pyannote[1063].speaker SPEAKER_10
transcript.pyannote[1063].start 8630.91846875
transcript.pyannote[1063].end 8631.96471875
transcript.pyannote[1064].speaker SPEAKER_10
transcript.pyannote[1064].start 8632.06596875
transcript.pyannote[1064].end 8636.95971875
transcript.pyannote[1065].speaker SPEAKER_10
transcript.pyannote[1065].start 8637.19596875
transcript.pyannote[1065].end 8639.01846875
transcript.pyannote[1066].speaker SPEAKER_10
transcript.pyannote[1066].start 8639.30534375
transcript.pyannote[1066].end 8641.22909375
transcript.pyannote[1067].speaker SPEAKER_10
transcript.pyannote[1067].start 8641.65096875
transcript.pyannote[1067].end 8646.30846875
transcript.pyannote[1068].speaker SPEAKER_10
transcript.pyannote[1068].start 8646.71346875
transcript.pyannote[1068].end 8658.39096875
transcript.pyannote[1069].speaker SPEAKER_10
transcript.pyannote[1069].start 8658.50909375
transcript.pyannote[1069].end 8661.02346875
transcript.pyannote[1070].speaker SPEAKER_10
transcript.pyannote[1070].start 8661.22596875
transcript.pyannote[1070].end 8663.30159375
transcript.pyannote[1071].speaker SPEAKER_10
transcript.pyannote[1071].start 8663.82471875
transcript.pyannote[1071].end 8668.24596875
transcript.pyannote[1072].speaker SPEAKER_10
transcript.pyannote[1072].start 8669.03909375
transcript.pyannote[1072].end 8669.56221875
transcript.pyannote[1073].speaker SPEAKER_10
transcript.pyannote[1073].start 8670.05159375
transcript.pyannote[1073].end 8713.45409375
transcript.pyannote[1074].speaker SPEAKER_10
transcript.pyannote[1074].start 8713.58909375
transcript.pyannote[1074].end 8717.11596875
transcript.pyannote[1075].speaker SPEAKER_24
transcript.pyannote[1075].start 8717.63909375
transcript.pyannote[1075].end 8718.75284375
transcript.pyannote[1076].speaker SPEAKER_24
transcript.pyannote[1076].start 8719.46159375
transcript.pyannote[1076].end 8722.87034375
transcript.pyannote[1077].speaker SPEAKER_31
transcript.pyannote[1077].start 8794.53846875
transcript.pyannote[1077].end 8795.16284375
transcript.pyannote[1078].speaker SPEAKER_31
transcript.pyannote[1078].start 8795.21346875
transcript.pyannote[1078].end 8795.24721875
transcript.pyannote[1079].speaker SPEAKER_22
transcript.pyannote[1079].start 8831.96721875
transcript.pyannote[1079].end 8834.68409375
transcript.pyannote[1080].speaker SPEAKER_22
transcript.pyannote[1080].start 8834.80221875
transcript.pyannote[1080].end 8837.62034375
transcript.pyannote[1081].speaker SPEAKER_29
transcript.pyannote[1081].start 8837.62034375
transcript.pyannote[1081].end 8837.63721875
transcript.pyannote[1082].speaker SPEAKER_22
transcript.pyannote[1082].start 8837.63721875
transcript.pyannote[1082].end 8837.70471875
transcript.pyannote[1083].speaker SPEAKER_29
transcript.pyannote[1083].start 8837.70471875
transcript.pyannote[1083].end 8837.97471875
transcript.pyannote[1084].speaker SPEAKER_22
transcript.pyannote[1084].start 8837.97471875
transcript.pyannote[1084].end 8838.04221875
transcript.pyannote[1085].speaker SPEAKER_22
transcript.pyannote[1085].start 8838.61596875
transcript.pyannote[1085].end 8840.42159375
transcript.pyannote[1086].speaker SPEAKER_22
transcript.pyannote[1086].start 8846.69909375
transcript.pyannote[1086].end 8847.52596875
transcript.pyannote[1087].speaker SPEAKER_22
transcript.pyannote[1087].start 8848.28534375
transcript.pyannote[1087].end 8848.53846875
transcript.pyannote[1088].speaker SPEAKER_22
transcript.pyannote[1088].start 8850.63096875
transcript.pyannote[1088].end 8852.53784375
transcript.pyannote[1089].speaker SPEAKER_22
transcript.pyannote[1089].start 8853.04409375
transcript.pyannote[1089].end 8855.82846875
transcript.pyannote[1090].speaker SPEAKER_22
transcript.pyannote[1090].start 8856.28409375
transcript.pyannote[1090].end 8857.97159375
transcript.pyannote[1091].speaker SPEAKER_22
transcript.pyannote[1091].start 8858.73096875
transcript.pyannote[1091].end 8858.79846875
transcript.pyannote[1092].speaker SPEAKER_38
transcript.pyannote[1092].start 8858.79846875
transcript.pyannote[1092].end 8861.53221875
transcript.pyannote[1093].speaker SPEAKER_22
transcript.pyannote[1093].start 8874.20534375
transcript.pyannote[1093].end 8874.94784375
transcript.pyannote[1094].speaker SPEAKER_22
transcript.pyannote[1094].start 8874.96471875
transcript.pyannote[1094].end 8875.01534375
transcript.pyannote[1095].speaker SPEAKER_22
transcript.pyannote[1095].start 8875.94346875
transcript.pyannote[1095].end 8876.71971875
transcript.pyannote[1096].speaker SPEAKER_22
transcript.pyannote[1096].start 8877.86721875
transcript.pyannote[1096].end 8880.28034375
transcript.pyannote[1097].speaker SPEAKER_22
transcript.pyannote[1097].start 8881.05659375
transcript.pyannote[1097].end 8882.03534375
transcript.pyannote[1098].speaker SPEAKER_22
transcript.pyannote[1098].start 8882.96346875
transcript.pyannote[1098].end 8883.03096875
transcript.pyannote[1099].speaker SPEAKER_22
transcript.pyannote[1099].start 8883.09846875
transcript.pyannote[1099].end 8883.40221875
transcript.pyannote[1100].speaker SPEAKER_22
transcript.pyannote[1100].start 8896.96971875
transcript.pyannote[1100].end 8903.21346875
transcript.pyannote[1101].speaker SPEAKER_22
transcript.pyannote[1101].start 8903.82096875
transcript.pyannote[1101].end 8903.87159375
transcript.pyannote[1102].speaker SPEAKER_22
transcript.pyannote[1102].start 8910.46971875
transcript.pyannote[1102].end 8911.02659375
transcript.pyannote[1103].speaker SPEAKER_05
transcript.pyannote[1103].start 8913.28784375
transcript.pyannote[1103].end 8922.02909375
transcript.pyannote[1104].speaker SPEAKER_38
transcript.pyannote[1104].start 8922.31596875
transcript.pyannote[1104].end 8926.29846875
transcript.pyannote[1105].speaker SPEAKER_05
transcript.pyannote[1105].start 8927.17596875
transcript.pyannote[1105].end 8930.17971875
transcript.pyannote[1106].speaker SPEAKER_38
transcript.pyannote[1106].start 8931.36096875
transcript.pyannote[1106].end 8933.67284375
transcript.pyannote[1107].speaker SPEAKER_05
transcript.pyannote[1107].start 8934.24659375
transcript.pyannote[1107].end 8937.25034375
transcript.pyannote[1108].speaker SPEAKER_05
transcript.pyannote[1108].start 8937.45284375
transcript.pyannote[1108].end 8939.56221875
transcript.pyannote[1109].speaker SPEAKER_05
transcript.pyannote[1109].start 8940.47346875
transcript.pyannote[1109].end 8944.54034375
transcript.pyannote[1110].speaker SPEAKER_38
transcript.pyannote[1110].start 8941.43534375
transcript.pyannote[1110].end 8942.17784375
transcript.pyannote[1111].speaker SPEAKER_38
transcript.pyannote[1111].start 8944.72596875
transcript.pyannote[1111].end 8945.67096875
transcript.pyannote[1112].speaker SPEAKER_05
transcript.pyannote[1112].start 8945.48534375
transcript.pyannote[1112].end 8946.22784375
transcript.pyannote[1113].speaker SPEAKER_05
transcript.pyannote[1113].start 8947.59471875
transcript.pyannote[1113].end 8949.46784375
transcript.pyannote[1114].speaker SPEAKER_05
transcript.pyannote[1114].start 8949.53534375
transcript.pyannote[1114].end 8950.69971875
transcript.pyannote[1115].speaker SPEAKER_05
transcript.pyannote[1115].start 8952.55596875
transcript.pyannote[1115].end 8956.33596875
transcript.pyannote[1116].speaker SPEAKER_05
transcript.pyannote[1116].start 8959.82909375
transcript.pyannote[1116].end 8963.50784375
transcript.pyannote[1117].speaker SPEAKER_18
transcript.pyannote[1117].start 8963.50784375
transcript.pyannote[1117].end 8963.65971875
transcript.pyannote[1118].speaker SPEAKER_18
transcript.pyannote[1118].start 8963.84534375
transcript.pyannote[1118].end 8965.53284375
transcript.pyannote[1119].speaker SPEAKER_18
transcript.pyannote[1119].start 8966.39346875
transcript.pyannote[1119].end 8967.92909375
transcript.pyannote[1120].speaker SPEAKER_38
transcript.pyannote[1120].start 8967.92909375
transcript.pyannote[1120].end 8973.97034375
transcript.pyannote[1121].speaker SPEAKER_18
transcript.pyannote[1121].start 8968.28346875
transcript.pyannote[1121].end 8968.31721875
transcript.pyannote[1122].speaker SPEAKER_05
transcript.pyannote[1122].start 8968.31721875
transcript.pyannote[1122].end 8968.33409375
transcript.pyannote[1123].speaker SPEAKER_05
transcript.pyannote[1123].start 8973.97034375
transcript.pyannote[1123].end 8974.35846875
transcript.pyannote[1124].speaker SPEAKER_05
transcript.pyannote[1124].start 8974.40909375
transcript.pyannote[1124].end 8979.57284375
transcript.pyannote[1125].speaker SPEAKER_38
transcript.pyannote[1125].start 8974.66221875
transcript.pyannote[1125].end 8976.14721875
transcript.pyannote[1126].speaker SPEAKER_38
transcript.pyannote[1126].start 8979.57284375
transcript.pyannote[1126].end 8981.59784375
transcript.pyannote[1127].speaker SPEAKER_05
transcript.pyannote[1127].start 8981.22659375
transcript.pyannote[1127].end 8982.00284375
transcript.pyannote[1128].speaker SPEAKER_38
transcript.pyannote[1128].start 8982.05346875
transcript.pyannote[1128].end 8983.35284375
transcript.pyannote[1129].speaker SPEAKER_05
transcript.pyannote[1129].start 8984.04471875
transcript.pyannote[1129].end 8985.47909375
transcript.pyannote[1130].speaker SPEAKER_05
transcript.pyannote[1130].start 8985.95159375
transcript.pyannote[1130].end 8986.76159375
transcript.pyannote[1131].speaker SPEAKER_38
transcript.pyannote[1131].start 8986.76159375
transcript.pyannote[1131].end 8987.50409375
transcript.pyannote[1132].speaker SPEAKER_30
transcript.pyannote[1132].start 8987.50409375
transcript.pyannote[1132].end 8987.62221875
transcript.pyannote[1133].speaker SPEAKER_05
transcript.pyannote[1133].start 8987.97659375
transcript.pyannote[1133].end 8988.39846875
transcript.pyannote[1134].speaker SPEAKER_30
transcript.pyannote[1134].start 8988.17909375
transcript.pyannote[1134].end 8988.22971875
transcript.pyannote[1135].speaker SPEAKER_38
transcript.pyannote[1135].start 8988.22971875
transcript.pyannote[1135].end 8988.33096875
transcript.pyannote[1136].speaker SPEAKER_38
transcript.pyannote[1136].start 8988.39846875
transcript.pyannote[1136].end 8988.53346875
transcript.pyannote[1137].speaker SPEAKER_30
transcript.pyannote[1137].start 8988.53346875
transcript.pyannote[1137].end 8988.82034375
transcript.pyannote[1138].speaker SPEAKER_05
transcript.pyannote[1138].start 8988.82034375
transcript.pyannote[1138].end 8996.97096875
transcript.pyannote[1139].speaker SPEAKER_22
transcript.pyannote[1139].start 8992.54971875
transcript.pyannote[1139].end 8992.71846875
transcript.pyannote[1140].speaker SPEAKER_22
transcript.pyannote[1140].start 8996.97096875
transcript.pyannote[1140].end 9009.27284375
transcript.pyannote[1141].speaker SPEAKER_22
transcript.pyannote[1141].start 9010.35284375
transcript.pyannote[1141].end 9015.66846875
transcript.pyannote[1142].speaker SPEAKER_38
transcript.pyannote[1142].start 9012.04034375
transcript.pyannote[1142].end 9012.37784375
transcript.pyannote[1143].speaker SPEAKER_22
transcript.pyannote[1143].start 9015.87096875
transcript.pyannote[1143].end 9017.40659375
transcript.pyannote[1144].speaker SPEAKER_38
transcript.pyannote[1144].start 9016.95096875
transcript.pyannote[1144].end 9022.80659375
transcript.pyannote[1145].speaker SPEAKER_22
transcript.pyannote[1145].start 9018.03096875
transcript.pyannote[1145].end 9018.97596875
transcript.pyannote[1146].speaker SPEAKER_29
transcript.pyannote[1146].start 9018.97596875
transcript.pyannote[1146].end 9019.09409375
transcript.pyannote[1147].speaker SPEAKER_22
transcript.pyannote[1147].start 9019.09409375
transcript.pyannote[1147].end 9019.12784375
transcript.pyannote[1148].speaker SPEAKER_29
transcript.pyannote[1148].start 9022.18221875
transcript.pyannote[1148].end 9022.77284375
transcript.pyannote[1149].speaker SPEAKER_29
transcript.pyannote[1149].start 9022.80659375
transcript.pyannote[1149].end 9026.73846875
transcript.pyannote[1150].speaker SPEAKER_38
transcript.pyannote[1150].start 9023.05971875
transcript.pyannote[1150].end 9039.44534375
transcript.pyannote[1151].speaker SPEAKER_37
transcript.pyannote[1151].start 9026.87346875
transcript.pyannote[1151].end 9027.02534375
transcript.pyannote[1152].speaker SPEAKER_29
transcript.pyannote[1152].start 9027.02534375
transcript.pyannote[1152].end 9027.76784375
transcript.pyannote[1153].speaker SPEAKER_22
transcript.pyannote[1153].start 9032.94846875
transcript.pyannote[1153].end 9034.23096875
transcript.pyannote[1154].speaker SPEAKER_22
transcript.pyannote[1154].start 9037.62284375
transcript.pyannote[1154].end 9038.98971875
transcript.pyannote[1155].speaker SPEAKER_22
transcript.pyannote[1155].start 9039.44534375
transcript.pyannote[1155].end 9039.66471875
transcript.pyannote[1156].speaker SPEAKER_38
transcript.pyannote[1156].start 9039.66471875
transcript.pyannote[1156].end 9039.71534375
transcript.pyannote[1157].speaker SPEAKER_22
transcript.pyannote[1157].start 9039.71534375
transcript.pyannote[1157].end 9039.81659375
transcript.pyannote[1158].speaker SPEAKER_38
transcript.pyannote[1158].start 9039.81659375
transcript.pyannote[1158].end 9039.83346875
transcript.pyannote[1159].speaker SPEAKER_22
transcript.pyannote[1159].start 9039.83346875
transcript.pyannote[1159].end 9039.90096875
transcript.pyannote[1160].speaker SPEAKER_38
transcript.pyannote[1160].start 9039.90096875
transcript.pyannote[1160].end 9039.95159375
transcript.pyannote[1161].speaker SPEAKER_38
transcript.pyannote[1161].start 9040.33971875
transcript.pyannote[1161].end 9042.61784375
transcript.pyannote[1162].speaker SPEAKER_22
transcript.pyannote[1162].start 9042.61784375
transcript.pyannote[1162].end 9049.84034375
transcript.pyannote[1163].speaker SPEAKER_31
transcript.pyannote[1163].start 9046.04346875
transcript.pyannote[1163].end 9046.06034375
transcript.pyannote[1164].speaker SPEAKER_22
transcript.pyannote[1164].start 9050.12721875
transcript.pyannote[1164].end 9050.31284375
transcript.pyannote[1165].speaker SPEAKER_22
transcript.pyannote[1165].start 9050.58284375
transcript.pyannote[1165].end 9056.25284375
transcript.pyannote[1166].speaker SPEAKER_38
transcript.pyannote[1166].start 9053.73846875
transcript.pyannote[1166].end 9056.92784375
transcript.pyannote[1167].speaker SPEAKER_22
transcript.pyannote[1167].start 9056.92784375
transcript.pyannote[1167].end 9061.65284375
transcript.pyannote[1168].speaker SPEAKER_38
transcript.pyannote[1168].start 9057.11346875
transcript.pyannote[1168].end 9057.19784375
transcript.pyannote[1169].speaker SPEAKER_22
transcript.pyannote[1169].start 9062.74971875
transcript.pyannote[1169].end 9062.95221875
transcript.pyannote[1170].speaker SPEAKER_22
transcript.pyannote[1170].start 9066.46221875
transcript.pyannote[1170].end 9067.23846875
transcript.pyannote[1171].speaker SPEAKER_22
transcript.pyannote[1171].start 9069.90471875
transcript.pyannote[1171].end 9073.92096875
transcript.pyannote[1172].speaker SPEAKER_29
transcript.pyannote[1172].start 9070.41096875
transcript.pyannote[1172].end 9073.66784375
transcript.pyannote[1173].speaker SPEAKER_29
transcript.pyannote[1173].start 9073.92096875
transcript.pyannote[1173].end 9074.03909375
transcript.pyannote[1174].speaker SPEAKER_22
transcript.pyannote[1174].start 9074.03909375
transcript.pyannote[1174].end 9076.35096875
transcript.pyannote[1175].speaker SPEAKER_29
transcript.pyannote[1175].start 9074.59596875
transcript.pyannote[1175].end 9075.67596875
transcript.pyannote[1176].speaker SPEAKER_22
transcript.pyannote[1176].start 9076.55346875
transcript.pyannote[1176].end 9082.17284375
transcript.pyannote[1177].speaker SPEAKER_22
transcript.pyannote[1177].start 9082.42596875
transcript.pyannote[1177].end 9082.56096875
transcript.pyannote[1178].speaker SPEAKER_22
transcript.pyannote[1178].start 9082.57784375
transcript.pyannote[1178].end 9082.62846875
transcript.pyannote[1179].speaker SPEAKER_22
transcript.pyannote[1179].start 9082.67909375
transcript.pyannote[1179].end 9082.69596875
transcript.pyannote[1180].speaker SPEAKER_22
transcript.pyannote[1180].start 9082.83096875
transcript.pyannote[1180].end 9082.93221875
transcript.pyannote[1181].speaker SPEAKER_22
transcript.pyannote[1181].start 9084.48471875
transcript.pyannote[1181].end 9084.83909375
transcript.pyannote[1182].speaker SPEAKER_22
transcript.pyannote[1182].start 9084.97409375
transcript.pyannote[1182].end 9085.02471875
transcript.pyannote[1183].speaker SPEAKER_22
transcript.pyannote[1183].start 9085.17659375
transcript.pyannote[1183].end 9086.30721875
transcript.pyannote[1184].speaker SPEAKER_22
transcript.pyannote[1184].start 9086.61096875
transcript.pyannote[1184].end 9086.67846875
transcript.pyannote[1185].speaker SPEAKER_22
transcript.pyannote[1185].start 9087.10034375
transcript.pyannote[1185].end 9087.11721875
transcript.pyannote[1186].speaker SPEAKER_22
transcript.pyannote[1186].start 9087.18471875
transcript.pyannote[1186].end 9087.30284375
transcript.pyannote[1187].speaker SPEAKER_22
transcript.pyannote[1187].start 9087.31971875
transcript.pyannote[1187].end 9088.24784375
transcript.pyannote[1188].speaker SPEAKER_18
transcript.pyannote[1188].start 9114.37034375
transcript.pyannote[1188].end 9114.70784375
transcript.pyannote[1189].speaker SPEAKER_18
transcript.pyannote[1189].start 9116.27721875
transcript.pyannote[1189].end 9117.55971875
transcript.pyannote[1190].speaker SPEAKER_18
transcript.pyannote[1190].start 9118.03221875
transcript.pyannote[1190].end 9118.80846875
transcript.pyannote[1191].speaker SPEAKER_05
transcript.pyannote[1191].start 9125.49096875
transcript.pyannote[1191].end 9132.03846875
transcript.pyannote[1192].speaker SPEAKER_38
transcript.pyannote[1192].start 9151.34346875
transcript.pyannote[1192].end 9152.30534375
transcript.pyannote[1193].speaker SPEAKER_38
transcript.pyannote[1193].start 9154.63409375
transcript.pyannote[1193].end 9154.81971875
transcript.pyannote[1194].speaker SPEAKER_38
transcript.pyannote[1194].start 9154.97159375
transcript.pyannote[1194].end 9156.91221875
transcript.pyannote[1195].speaker SPEAKER_38
transcript.pyannote[1195].start 9156.94596875
transcript.pyannote[1195].end 9156.97971875
transcript.pyannote[1196].speaker SPEAKER_38
transcript.pyannote[1196].start 9157.36784375
transcript.pyannote[1196].end 9157.55346875
transcript.pyannote[1197].speaker SPEAKER_05
transcript.pyannote[1197].start 9173.75346875
transcript.pyannote[1197].end 9179.15346875
transcript.pyannote[1198].speaker SPEAKER_05
transcript.pyannote[1198].start 9179.54159375
transcript.pyannote[1198].end 9179.59221875
transcript.pyannote[1199].speaker SPEAKER_24
transcript.pyannote[1199].start 9179.59221875
transcript.pyannote[1199].end 9185.21159375
transcript.pyannote[1200].speaker SPEAKER_23
transcript.pyannote[1200].start 9187.20284375
transcript.pyannote[1200].end 9187.23659375
transcript.pyannote[1201].speaker SPEAKER_23
transcript.pyannote[1201].start 9187.27034375
transcript.pyannote[1201].end 9187.42221875
transcript.pyannote[1202].speaker SPEAKER_38
transcript.pyannote[1202].start 9197.95221875
transcript.pyannote[1202].end 9199.70721875
transcript.pyannote[1203].speaker SPEAKER_38
transcript.pyannote[1203].start 9200.51721875
transcript.pyannote[1203].end 9200.80409375
transcript.pyannote[1204].speaker SPEAKER_38
transcript.pyannote[1204].start 9200.82096875
transcript.pyannote[1204].end 9202.20471875
transcript.pyannote[1205].speaker SPEAKER_38
transcript.pyannote[1205].start 9202.27221875
transcript.pyannote[1205].end 9205.19159375
transcript.pyannote[1206].speaker SPEAKER_26
transcript.pyannote[1206].start 9205.19159375
transcript.pyannote[1206].end 9205.25909375
transcript.pyannote[1207].speaker SPEAKER_38
transcript.pyannote[1207].start 9205.25909375
transcript.pyannote[1207].end 9205.96784375
transcript.pyannote[1208].speaker SPEAKER_26
transcript.pyannote[1208].start 9205.96784375
transcript.pyannote[1208].end 9206.03534375
transcript.pyannote[1209].speaker SPEAKER_24
transcript.pyannote[1209].start 9211.24971875
transcript.pyannote[1209].end 9215.38409375
transcript.pyannote[1210].speaker SPEAKER_18
transcript.pyannote[1210].start 9213.19034375
transcript.pyannote[1210].end 9213.79784375
transcript.pyannote[1211].speaker SPEAKER_18
transcript.pyannote[1211].start 9220.17659375
transcript.pyannote[1211].end 9303.18471875
transcript.pyannote[1212].speaker SPEAKER_07
transcript.pyannote[1212].start 9287.55846875
transcript.pyannote[1212].end 9287.96346875
transcript.pyannote[1213].speaker SPEAKER_18
transcript.pyannote[1213].start 9303.55596875
transcript.pyannote[1213].end 9318.15284375
transcript.pyannote[1214].speaker SPEAKER_00
transcript.pyannote[1214].start 9308.60159375
transcript.pyannote[1214].end 9309.02346875
transcript.pyannote[1215].speaker SPEAKER_30
transcript.pyannote[1215].start 9309.02346875
transcript.pyannote[1215].end 9310.13721875
transcript.pyannote[1216].speaker SPEAKER_18
transcript.pyannote[1216].start 9318.35534375
transcript.pyannote[1216].end 9330.15096875
transcript.pyannote[1217].speaker SPEAKER_18
transcript.pyannote[1217].start 9330.26909375
transcript.pyannote[1217].end 9380.28659375
transcript.pyannote[1218].speaker SPEAKER_35
transcript.pyannote[1218].start 9343.85346875
transcript.pyannote[1218].end 9346.03034375
transcript.pyannote[1219].speaker SPEAKER_24
transcript.pyannote[1219].start 9346.03034375
transcript.pyannote[1219].end 9346.13159375
transcript.pyannote[1220].speaker SPEAKER_18
transcript.pyannote[1220].start 9380.40471875
transcript.pyannote[1220].end 9463.44659375
transcript.pyannote[1221].speaker SPEAKER_15
transcript.pyannote[1221].start 9393.43221875
transcript.pyannote[1221].end 9393.44909375
transcript.pyannote[1222].speaker SPEAKER_15
transcript.pyannote[1222].start 9393.93846875
transcript.pyannote[1222].end 9395.35596875
transcript.pyannote[1223].speaker SPEAKER_07
transcript.pyannote[1223].start 9439.16346875
transcript.pyannote[1223].end 9440.78346875
transcript.pyannote[1224].speaker SPEAKER_14
transcript.pyannote[1224].start 9449.77784375
transcript.pyannote[1224].end 9450.21659375
transcript.pyannote[1225].speaker SPEAKER_14
transcript.pyannote[1225].start 9450.58784375
transcript.pyannote[1225].end 9451.46534375
transcript.pyannote[1226].speaker SPEAKER_14
transcript.pyannote[1226].start 9457.70909375
transcript.pyannote[1226].end 9458.43471875
transcript.pyannote[1227].speaker SPEAKER_18
transcript.pyannote[1227].start 9463.59846875
transcript.pyannote[1227].end 9494.10846875
transcript.pyannote[1228].speaker SPEAKER_09
transcript.pyannote[1228].start 9469.70721875
transcript.pyannote[1228].end 9472.25534375
transcript.pyannote[1229].speaker SPEAKER_00
transcript.pyannote[1229].start 9483.56159375
transcript.pyannote[1229].end 9484.75971875
transcript.pyannote[1230].speaker SPEAKER_18
transcript.pyannote[1230].start 9494.83409375
transcript.pyannote[1230].end 9527.25096875
transcript.pyannote[1231].speaker SPEAKER_18
transcript.pyannote[1231].start 9527.57159375
transcript.pyannote[1231].end 9538.27034375
transcript.pyannote[1232].speaker SPEAKER_14
transcript.pyannote[1232].start 9530.89596875
transcript.pyannote[1232].end 9530.98034375
transcript.pyannote[1233].speaker SPEAKER_18
transcript.pyannote[1233].start 9538.92846875
transcript.pyannote[1233].end 9539.97471875
transcript.pyannote[1234].speaker SPEAKER_15
transcript.pyannote[1234].start 9538.97909375
transcript.pyannote[1234].end 9545.47596875
transcript.pyannote[1235].speaker SPEAKER_15
transcript.pyannote[1235].start 9545.57721875
transcript.pyannote[1235].end 9546.03284375
transcript.pyannote[1236].speaker SPEAKER_18
transcript.pyannote[1236].start 9546.03284375
transcript.pyannote[1236].end 9564.00471875
transcript.pyannote[1237].speaker SPEAKER_30
transcript.pyannote[1237].start 9562.04721875
transcript.pyannote[1237].end 9563.90346875
transcript.pyannote[1238].speaker SPEAKER_30
transcript.pyannote[1238].start 9564.00471875
transcript.pyannote[1238].end 9564.32534375
transcript.pyannote[1239].speaker SPEAKER_18
transcript.pyannote[1239].start 9565.13534375
transcript.pyannote[1239].end 9618.00471875
transcript.pyannote[1240].speaker SPEAKER_18
transcript.pyannote[1240].start 9618.30846875
transcript.pyannote[1240].end 9624.33284375
transcript.pyannote[1241].speaker SPEAKER_21
transcript.pyannote[1241].start 9624.02909375
transcript.pyannote[1241].end 9625.75034375
transcript.pyannote[1242].speaker SPEAKER_18
transcript.pyannote[1242].start 9625.75034375
transcript.pyannote[1242].end 9625.76721875
transcript.pyannote[1243].speaker SPEAKER_21
transcript.pyannote[1243].start 9625.76721875
transcript.pyannote[1243].end 9625.98659375
transcript.pyannote[1244].speaker SPEAKER_18
transcript.pyannote[1244].start 9625.78409375
transcript.pyannote[1244].end 9635.26784375
transcript.pyannote[1245].speaker SPEAKER_21
transcript.pyannote[1245].start 9627.28596875
transcript.pyannote[1245].end 9627.82596875
transcript.pyannote[1246].speaker SPEAKER_17
transcript.pyannote[1246].start 9627.82596875
transcript.pyannote[1246].end 9627.85971875
transcript.pyannote[1247].speaker SPEAKER_00
transcript.pyannote[1247].start 9632.36534375
transcript.pyannote[1247].end 9632.38221875
transcript.pyannote[1248].speaker SPEAKER_26
transcript.pyannote[1248].start 9632.38221875
transcript.pyannote[1248].end 9632.39909375
transcript.pyannote[1249].speaker SPEAKER_17
transcript.pyannote[1249].start 9632.39909375
transcript.pyannote[1249].end 9633.07409375
transcript.pyannote[1250].speaker SPEAKER_18
transcript.pyannote[1250].start 9635.79096875
transcript.pyannote[1250].end 9706.10909375
transcript.pyannote[1251].speaker SPEAKER_13
transcript.pyannote[1251].start 9643.36784375
transcript.pyannote[1251].end 9644.92034375
transcript.pyannote[1252].speaker SPEAKER_21
transcript.pyannote[1252].start 9662.20034375
transcript.pyannote[1252].end 9663.38159375
transcript.pyannote[1253].speaker SPEAKER_00
transcript.pyannote[1253].start 9676.32471875
transcript.pyannote[1253].end 9677.15159375
transcript.pyannote[1254].speaker SPEAKER_30
transcript.pyannote[1254].start 9680.17221875
transcript.pyannote[1254].end 9681.03284375
transcript.pyannote[1255].speaker SPEAKER_24
transcript.pyannote[1255].start 9681.03284375
transcript.pyannote[1255].end 9681.97784375
transcript.pyannote[1256].speaker SPEAKER_30
transcript.pyannote[1256].start 9681.97784375
transcript.pyannote[1256].end 9682.01159375
transcript.pyannote[1257].speaker SPEAKER_00
transcript.pyannote[1257].start 9682.01159375
transcript.pyannote[1257].end 9682.04534375
transcript.pyannote[1258].speaker SPEAKER_15
transcript.pyannote[1258].start 9701.24909375
transcript.pyannote[1258].end 9702.31221875
transcript.pyannote[1259].speaker SPEAKER_17
transcript.pyannote[1259].start 9702.31221875
transcript.pyannote[1259].end 9702.32909375
transcript.pyannote[1260].speaker SPEAKER_18
transcript.pyannote[1260].start 9706.14284375
transcript.pyannote[1260].end 9708.53909375
transcript.pyannote[1261].speaker SPEAKER_24
transcript.pyannote[1261].start 9714.39471875
transcript.pyannote[1261].end 9717.21284375
transcript.pyannote[1262].speaker SPEAKER_36
transcript.pyannote[1262].start 9723.52409375
transcript.pyannote[1262].end 9724.40159375
transcript.pyannote[1263].speaker SPEAKER_36
transcript.pyannote[1263].start 9724.48596875
transcript.pyannote[1263].end 9724.77284375
transcript.pyannote[1264].speaker SPEAKER_36
transcript.pyannote[1264].start 9724.85721875
transcript.pyannote[1264].end 9725.73471875
transcript.pyannote[1265].speaker SPEAKER_24
transcript.pyannote[1265].start 9726.07221875
transcript.pyannote[1265].end 9726.08909375
transcript.pyannote[1266].speaker SPEAKER_14
transcript.pyannote[1266].start 9726.08909375
transcript.pyannote[1266].end 9727.10159375
transcript.pyannote[1267].speaker SPEAKER_14
transcript.pyannote[1267].start 9731.59034375
transcript.pyannote[1267].end 9731.60721875
transcript.pyannote[1268].speaker SPEAKER_18
transcript.pyannote[1268].start 9731.60721875
transcript.pyannote[1268].end 9732.51846875
transcript.pyannote[1269].speaker SPEAKER_36
transcript.pyannote[1269].start 9733.58159375
transcript.pyannote[1269].end 9735.57284375
transcript.pyannote[1270].speaker SPEAKER_36
transcript.pyannote[1270].start 9736.68659375
transcript.pyannote[1270].end 9746.01846875
transcript.pyannote[1271].speaker SPEAKER_36
transcript.pyannote[1271].start 9746.65971875
transcript.pyannote[1271].end 9780.47721875
transcript.pyannote[1272].speaker SPEAKER_18
transcript.pyannote[1272].start 9780.47721875
transcript.pyannote[1272].end 9781.08471875
transcript.pyannote[1273].speaker SPEAKER_36
transcript.pyannote[1273].start 9781.08471875
transcript.pyannote[1273].end 9781.10159375
transcript.pyannote[1274].speaker SPEAKER_36
transcript.pyannote[1274].start 9781.15221875
transcript.pyannote[1274].end 9781.62471875
transcript.pyannote[1275].speaker SPEAKER_18
transcript.pyannote[1275].start 9781.55721875
transcript.pyannote[1275].end 9782.68784375
transcript.pyannote[1276].speaker SPEAKER_36
transcript.pyannote[1276].start 9783.31221875
transcript.pyannote[1276].end 9787.41284375
transcript.pyannote[1277].speaker SPEAKER_36
transcript.pyannote[1277].start 9787.59846875
transcript.pyannote[1277].end 9788.45909375
transcript.pyannote[1278].speaker SPEAKER_36
transcript.pyannote[1278].start 9788.77971875
transcript.pyannote[1278].end 9805.70534375
transcript.pyannote[1279].speaker SPEAKER_36
transcript.pyannote[1279].start 9805.84034375
transcript.pyannote[1279].end 9807.05534375
transcript.pyannote[1280].speaker SPEAKER_18
transcript.pyannote[1280].start 9805.90784375
transcript.pyannote[1280].end 9817.95659375
transcript.pyannote[1281].speaker SPEAKER_36
transcript.pyannote[1281].start 9817.24784375
transcript.pyannote[1281].end 9825.04409375
transcript.pyannote[1282].speaker SPEAKER_18
transcript.pyannote[1282].start 9825.16221875
transcript.pyannote[1282].end 9836.53596875
transcript.pyannote[1283].speaker SPEAKER_36
transcript.pyannote[1283].start 9836.80596875
transcript.pyannote[1283].end 9839.40471875
transcript.pyannote[1284].speaker SPEAKER_18
transcript.pyannote[1284].start 9837.02534375
transcript.pyannote[1284].end 9837.43034375
transcript.pyannote[1285].speaker SPEAKER_18
transcript.pyannote[1285].start 9837.46409375
transcript.pyannote[1285].end 9837.95346875
transcript.pyannote[1286].speaker SPEAKER_36
transcript.pyannote[1286].start 9839.96159375
transcript.pyannote[1286].end 9844.87221875
transcript.pyannote[1287].speaker SPEAKER_36
transcript.pyannote[1287].start 9845.24346875
transcript.pyannote[1287].end 9846.55971875
transcript.pyannote[1288].speaker SPEAKER_36
transcript.pyannote[1288].start 9846.91409375
transcript.pyannote[1288].end 9848.70284375
transcript.pyannote[1289].speaker SPEAKER_36
transcript.pyannote[1289].start 9849.07409375
transcript.pyannote[1289].end 9855.40221875
transcript.pyannote[1290].speaker SPEAKER_36
transcript.pyannote[1290].start 9855.65534375
transcript.pyannote[1290].end 9857.64659375
transcript.pyannote[1291].speaker SPEAKER_36
transcript.pyannote[1291].start 9857.73096875
transcript.pyannote[1291].end 9861.46034375
transcript.pyannote[1292].speaker SPEAKER_18
transcript.pyannote[1292].start 9861.78096875
transcript.pyannote[1292].end 9869.25659375
transcript.pyannote[1293].speaker SPEAKER_36
transcript.pyannote[1293].start 9870.21846875
transcript.pyannote[1293].end 9874.63971875
transcript.pyannote[1294].speaker SPEAKER_18
transcript.pyannote[1294].start 9872.61471875
transcript.pyannote[1294].end 9875.12909375
transcript.pyannote[1295].speaker SPEAKER_36
transcript.pyannote[1295].start 9875.07846875
transcript.pyannote[1295].end 9876.85034375
transcript.pyannote[1296].speaker SPEAKER_18
transcript.pyannote[1296].start 9876.36096875
transcript.pyannote[1296].end 9877.23846875
transcript.pyannote[1297].speaker SPEAKER_36
transcript.pyannote[1297].start 9877.76159375
transcript.pyannote[1297].end 9890.58659375
transcript.pyannote[1298].speaker SPEAKER_36
transcript.pyannote[1298].start 9890.94096875
transcript.pyannote[1298].end 9893.77596875
transcript.pyannote[1299].speaker SPEAKER_36
transcript.pyannote[1299].start 9894.14721875
transcript.pyannote[1299].end 9900.28971875
transcript.pyannote[1300].speaker SPEAKER_36
transcript.pyannote[1300].start 9900.71159375
transcript.pyannote[1300].end 9901.15034375
transcript.pyannote[1301].speaker SPEAKER_36
transcript.pyannote[1301].start 9901.58909375
transcript.pyannote[1301].end 9903.73221875
transcript.pyannote[1302].speaker SPEAKER_36
transcript.pyannote[1302].start 9903.95159375
transcript.pyannote[1302].end 9904.35659375
transcript.pyannote[1303].speaker SPEAKER_36
transcript.pyannote[1303].start 9904.99784375
transcript.pyannote[1303].end 9917.09721875
transcript.pyannote[1304].speaker SPEAKER_18
transcript.pyannote[1304].start 9917.08034375
transcript.pyannote[1304].end 9927.55971875
transcript.pyannote[1305].speaker SPEAKER_36
transcript.pyannote[1305].start 9919.24034375
transcript.pyannote[1305].end 9920.38784375
transcript.pyannote[1306].speaker SPEAKER_36
transcript.pyannote[1306].start 9927.27284375
transcript.pyannote[1306].end 9935.76096875
transcript.pyannote[1307].speaker SPEAKER_36
transcript.pyannote[1307].start 9936.21659375
transcript.pyannote[1307].end 9943.69221875
transcript.pyannote[1308].speaker SPEAKER_36
transcript.pyannote[1308].start 9943.96221875
transcript.pyannote[1308].end 9951.85971875
transcript.pyannote[1309].speaker SPEAKER_18
transcript.pyannote[1309].start 9951.99471875
transcript.pyannote[1309].end 9975.01221875
transcript.pyannote[1310].speaker SPEAKER_30
transcript.pyannote[1310].start 9963.92534375
transcript.pyannote[1310].end 9964.87034375
transcript.pyannote[1311].speaker SPEAKER_30
transcript.pyannote[1311].start 9969.91596875
transcript.pyannote[1311].end 9970.50659375
transcript.pyannote[1312].speaker SPEAKER_36
transcript.pyannote[1312].start 9975.78846875
transcript.pyannote[1312].end 9985.35659375
transcript.pyannote[1313].speaker SPEAKER_18
transcript.pyannote[1313].start 9979.18034375
transcript.pyannote[1313].end 9980.80034375
transcript.pyannote[1314].speaker SPEAKER_03
transcript.pyannote[1314].start 9980.80034375
transcript.pyannote[1314].end 9982.03221875
transcript.pyannote[1315].speaker SPEAKER_30
transcript.pyannote[1315].start 9982.03221875
transcript.pyannote[1315].end 9982.50471875
transcript.pyannote[1316].speaker SPEAKER_18
transcript.pyannote[1316].start 9982.50471875
transcript.pyannote[1316].end 9982.52159375
transcript.pyannote[1317].speaker SPEAKER_36
transcript.pyannote[1317].start 9985.82909375
transcript.pyannote[1317].end 9999.98721875
transcript.pyannote[1318].speaker SPEAKER_36
transcript.pyannote[1318].start 10000.15596875
transcript.pyannote[1318].end 10001.99534375
transcript.pyannote[1319].speaker SPEAKER_36
transcript.pyannote[1319].start 10002.13034375
transcript.pyannote[1319].end 10002.63659375
transcript.pyannote[1320].speaker SPEAKER_36
transcript.pyannote[1320].start 10003.04159375
transcript.pyannote[1320].end 10003.41284375
transcript.pyannote[1321].speaker SPEAKER_36
transcript.pyannote[1321].start 10003.88534375
transcript.pyannote[1321].end 10009.48784375
transcript.pyannote[1322].speaker SPEAKER_18
transcript.pyannote[1322].start 10009.96034375
transcript.pyannote[1322].end 10028.26971875
transcript.pyannote[1323].speaker SPEAKER_18
transcript.pyannote[1323].start 10028.40471875
transcript.pyannote[1323].end 10028.60721875
transcript.pyannote[1324].speaker SPEAKER_36
transcript.pyannote[1324].start 10029.13034375
transcript.pyannote[1324].end 10041.88784375
transcript.pyannote[1325].speaker SPEAKER_18
transcript.pyannote[1325].start 10039.08659375
transcript.pyannote[1325].end 10039.99784375
transcript.pyannote[1326].speaker SPEAKER_18
transcript.pyannote[1326].start 10040.74034375
transcript.pyannote[1326].end 10049.80221875
transcript.pyannote[1327].speaker SPEAKER_18
transcript.pyannote[1327].start 10049.88659375
transcript.pyannote[1327].end 10052.36721875
transcript.pyannote[1328].speaker SPEAKER_36
transcript.pyannote[1328].start 10051.54034375
transcript.pyannote[1328].end 10053.19409375
transcript.pyannote[1329].speaker SPEAKER_36
transcript.pyannote[1329].start 10053.93659375
transcript.pyannote[1329].end 10058.91471875
transcript.pyannote[1330].speaker SPEAKER_36
transcript.pyannote[1330].start 10059.37034375
transcript.pyannote[1330].end 10067.55471875
transcript.pyannote[1331].speaker SPEAKER_07
transcript.pyannote[1331].start 10066.18784375
transcript.pyannote[1331].end 10068.02721875
transcript.pyannote[1332].speaker SPEAKER_36
transcript.pyannote[1332].start 10068.02721875
transcript.pyannote[1332].end 10076.21159375
transcript.pyannote[1333].speaker SPEAKER_18
transcript.pyannote[1333].start 10072.49909375
transcript.pyannote[1333].end 10085.91471875
transcript.pyannote[1334].speaker SPEAKER_36
transcript.pyannote[1334].start 10076.46471875
transcript.pyannote[1334].end 10076.81909375
transcript.pyannote[1335].speaker SPEAKER_36
transcript.pyannote[1335].start 10086.82596875
transcript.pyannote[1335].end 10095.71909375
transcript.pyannote[1336].speaker SPEAKER_07
transcript.pyannote[1336].start 10095.65159375
transcript.pyannote[1336].end 10095.70221875
transcript.pyannote[1337].speaker SPEAKER_07
transcript.pyannote[1337].start 10095.71909375
transcript.pyannote[1337].end 10096.00596875
transcript.pyannote[1338].speaker SPEAKER_36
transcript.pyannote[1338].start 10096.00596875
transcript.pyannote[1338].end 10100.73096875
transcript.pyannote[1339].speaker SPEAKER_07
transcript.pyannote[1339].start 10096.02284375
transcript.pyannote[1339].end 10096.61346875
transcript.pyannote[1340].speaker SPEAKER_18
transcript.pyannote[1340].start 10096.61346875
transcript.pyannote[1340].end 10096.64721875
transcript.pyannote[1341].speaker SPEAKER_07
transcript.pyannote[1341].start 10096.64721875
transcript.pyannote[1341].end 10096.66409375
transcript.pyannote[1342].speaker SPEAKER_18
transcript.pyannote[1342].start 10100.86596875
transcript.pyannote[1342].end 10114.18034375
transcript.pyannote[1343].speaker SPEAKER_36
transcript.pyannote[1343].start 10114.31534375
transcript.pyannote[1343].end 10124.76096875
transcript.pyannote[1344].speaker SPEAKER_36
transcript.pyannote[1344].start 10125.01409375
transcript.pyannote[1344].end 10135.49346875
transcript.pyannote[1345].speaker SPEAKER_36
transcript.pyannote[1345].start 10135.84784375
transcript.pyannote[1345].end 10139.13846875
transcript.pyannote[1346].speaker SPEAKER_36
transcript.pyannote[1346].start 10139.40846875
transcript.pyannote[1346].end 10148.33534375
transcript.pyannote[1347].speaker SPEAKER_18
transcript.pyannote[1347].start 10146.61409375
transcript.pyannote[1347].end 10151.06909375
transcript.pyannote[1348].speaker SPEAKER_36
transcript.pyannote[1348].start 10150.24221875
transcript.pyannote[1348].end 10152.57096875
transcript.pyannote[1349].speaker SPEAKER_18
transcript.pyannote[1349].start 10151.86221875
transcript.pyannote[1349].end 10154.83221875
transcript.pyannote[1350].speaker SPEAKER_36
transcript.pyannote[1350].start 10154.27534375
transcript.pyannote[1350].end 10161.64971875
transcript.pyannote[1351].speaker SPEAKER_18
transcript.pyannote[1351].start 10158.96659375
transcript.pyannote[1351].end 10160.14784375
transcript.pyannote[1352].speaker SPEAKER_18
transcript.pyannote[1352].start 10161.71721875
transcript.pyannote[1352].end 10165.02471875
transcript.pyannote[1353].speaker SPEAKER_36
transcript.pyannote[1353].start 10164.02909375
transcript.pyannote[1353].end 10165.07534375
transcript.pyannote[1354].speaker SPEAKER_30
transcript.pyannote[1354].start 10165.07534375
transcript.pyannote[1354].end 10165.10909375
transcript.pyannote[1355].speaker SPEAKER_18
transcript.pyannote[1355].start 10165.32846875
transcript.pyannote[1355].end 10173.17534375
transcript.pyannote[1356].speaker SPEAKER_36
transcript.pyannote[1356].start 10165.61534375
transcript.pyannote[1356].end 10166.15534375
transcript.pyannote[1357].speaker SPEAKER_30
transcript.pyannote[1357].start 10166.15534375
transcript.pyannote[1357].end 10166.17221875
transcript.pyannote[1358].speaker SPEAKER_36
transcript.pyannote[1358].start 10171.13346875
transcript.pyannote[1358].end 10171.53846875
transcript.pyannote[1359].speaker SPEAKER_36
transcript.pyannote[1359].start 10172.75346875
transcript.pyannote[1359].end 10173.22596875
transcript.pyannote[1360].speaker SPEAKER_36
transcript.pyannote[1360].start 10173.90096875
transcript.pyannote[1360].end 10207.39784375
transcript.pyannote[1361].speaker SPEAKER_11
transcript.pyannote[1361].start 10181.15721875
transcript.pyannote[1361].end 10182.03471875
transcript.pyannote[1362].speaker SPEAKER_12
transcript.pyannote[1362].start 10182.03471875
transcript.pyannote[1362].end 10182.28784375
transcript.pyannote[1363].speaker SPEAKER_11
transcript.pyannote[1363].start 10182.28784375
transcript.pyannote[1363].end 10182.76034375
transcript.pyannote[1364].speaker SPEAKER_12
transcript.pyannote[1364].start 10182.76034375
transcript.pyannote[1364].end 10182.84471875
transcript.pyannote[1365].speaker SPEAKER_11
transcript.pyannote[1365].start 10182.84471875
transcript.pyannote[1365].end 10182.87846875
transcript.pyannote[1366].speaker SPEAKER_22
transcript.pyannote[1366].start 10201.18784375
transcript.pyannote[1366].end 10202.25096875
transcript.pyannote[1367].speaker SPEAKER_36
transcript.pyannote[1367].start 10207.63409375
transcript.pyannote[1367].end 10215.34596875
transcript.pyannote[1368].speaker SPEAKER_36
transcript.pyannote[1368].start 10215.88596875
transcript.pyannote[1368].end 10224.86346875
transcript.pyannote[1369].speaker SPEAKER_18
transcript.pyannote[1369].start 10224.69471875
transcript.pyannote[1369].end 10228.27221875
transcript.pyannote[1370].speaker SPEAKER_14
transcript.pyannote[1370].start 10228.27221875
transcript.pyannote[1370].end 10228.39034375
transcript.pyannote[1371].speaker SPEAKER_14
transcript.pyannote[1371].start 10228.60971875
transcript.pyannote[1371].end 10235.71409375
transcript.pyannote[1372].speaker SPEAKER_14
transcript.pyannote[1372].start 10236.10221875
transcript.pyannote[1372].end 10253.48346875
transcript.pyannote[1373].speaker SPEAKER_14
transcript.pyannote[1373].start 10254.41159375
transcript.pyannote[1373].end 10259.35596875
transcript.pyannote[1374].speaker SPEAKER_14
transcript.pyannote[1374].start 10259.50784375
transcript.pyannote[1374].end 10261.95471875
transcript.pyannote[1375].speaker SPEAKER_14
transcript.pyannote[1375].start 10263.27096875
transcript.pyannote[1375].end 10274.03721875
transcript.pyannote[1376].speaker SPEAKER_14
transcript.pyannote[1376].start 10274.39159375
transcript.pyannote[1376].end 10285.07346875
transcript.pyannote[1377].speaker SPEAKER_14
transcript.pyannote[1377].start 10285.27596875
transcript.pyannote[1377].end 10285.79909375
transcript.pyannote[1378].speaker SPEAKER_14
transcript.pyannote[1378].start 10286.20409375
transcript.pyannote[1378].end 10286.44034375
transcript.pyannote[1379].speaker SPEAKER_14
transcript.pyannote[1379].start 10286.96346875
transcript.pyannote[1379].end 10288.49909375
transcript.pyannote[1380].speaker SPEAKER_14
transcript.pyannote[1380].start 10289.03909375
transcript.pyannote[1380].end 10289.49471875
transcript.pyannote[1381].speaker SPEAKER_14
transcript.pyannote[1381].start 10291.11471875
transcript.pyannote[1381].end 10293.56159375
transcript.pyannote[1382].speaker SPEAKER_14
transcript.pyannote[1382].start 10293.81471875
transcript.pyannote[1382].end 10295.87346875
transcript.pyannote[1383].speaker SPEAKER_26
transcript.pyannote[1383].start 10295.87346875
transcript.pyannote[1383].end 10295.89034375
transcript.pyannote[1384].speaker SPEAKER_25
transcript.pyannote[1384].start 10301.20596875
transcript.pyannote[1384].end 10302.21846875
transcript.pyannote[1385].speaker SPEAKER_14
transcript.pyannote[1385].start 10303.21409375
transcript.pyannote[1385].end 10304.27721875
transcript.pyannote[1386].speaker SPEAKER_25
transcript.pyannote[1386].start 10306.69034375
transcript.pyannote[1386].end 10307.71971875
transcript.pyannote[1387].speaker SPEAKER_25
transcript.pyannote[1387].start 10307.88846875
transcript.pyannote[1387].end 10328.22284375
transcript.pyannote[1388].speaker SPEAKER_25
transcript.pyannote[1388].start 10328.30721875
transcript.pyannote[1388].end 10332.03659375
transcript.pyannote[1389].speaker SPEAKER_25
transcript.pyannote[1389].start 10332.27284375
transcript.pyannote[1389].end 10335.71534375
transcript.pyannote[1390].speaker SPEAKER_25
transcript.pyannote[1390].start 10336.03596875
transcript.pyannote[1390].end 10342.68471875
transcript.pyannote[1391].speaker SPEAKER_25
transcript.pyannote[1391].start 10343.89971875
transcript.pyannote[1391].end 10349.51909375
transcript.pyannote[1392].speaker SPEAKER_25
transcript.pyannote[1392].start 10349.77221875
transcript.pyannote[1392].end 10350.98721875
transcript.pyannote[1393].speaker SPEAKER_25
transcript.pyannote[1393].start 10351.34159375
transcript.pyannote[1393].end 10356.75846875
transcript.pyannote[1394].speaker SPEAKER_25
transcript.pyannote[1394].start 10357.02846875
transcript.pyannote[1394].end 10364.13284375
transcript.pyannote[1395].speaker SPEAKER_25
transcript.pyannote[1395].start 10364.14971875
transcript.pyannote[1395].end 10365.16221875
transcript.pyannote[1396].speaker SPEAKER_25
transcript.pyannote[1396].start 10365.56721875
transcript.pyannote[1396].end 10369.02659375
transcript.pyannote[1397].speaker SPEAKER_25
transcript.pyannote[1397].start 10369.41471875
transcript.pyannote[1397].end 10380.06284375
transcript.pyannote[1398].speaker SPEAKER_25
transcript.pyannote[1398].start 10380.61971875
transcript.pyannote[1398].end 10382.91471875
transcript.pyannote[1399].speaker SPEAKER_25
transcript.pyannote[1399].start 10383.55596875
transcript.pyannote[1399].end 10385.22659375
transcript.pyannote[1400].speaker SPEAKER_25
transcript.pyannote[1400].start 10386.22221875
transcript.pyannote[1400].end 10386.94784375
transcript.pyannote[1401].speaker SPEAKER_25
transcript.pyannote[1401].start 10387.65659375
transcript.pyannote[1401].end 10389.07409375
transcript.pyannote[1402].speaker SPEAKER_25
transcript.pyannote[1402].start 10389.74909375
transcript.pyannote[1402].end 10391.60534375
transcript.pyannote[1403].speaker SPEAKER_25
transcript.pyannote[1403].start 10392.34784375
transcript.pyannote[1403].end 10398.87846875
transcript.pyannote[1404].speaker SPEAKER_25
transcript.pyannote[1404].start 10399.57034375
transcript.pyannote[1404].end 10402.38846875
transcript.pyannote[1405].speaker SPEAKER_25
transcript.pyannote[1405].start 10403.16471875
transcript.pyannote[1405].end 10407.04596875
transcript.pyannote[1406].speaker SPEAKER_25
transcript.pyannote[1406].start 10407.29909375
transcript.pyannote[1406].end 10409.69534375
transcript.pyannote[1407].speaker SPEAKER_25
transcript.pyannote[1407].start 10410.70784375
transcript.pyannote[1407].end 10412.09159375
transcript.pyannote[1408].speaker SPEAKER_25
transcript.pyannote[1408].start 10412.83409375
transcript.pyannote[1408].end 10418.90909375
transcript.pyannote[1409].speaker SPEAKER_25
transcript.pyannote[1409].start 10419.06096875
transcript.pyannote[1409].end 10425.50721875
transcript.pyannote[1410].speaker SPEAKER_18
transcript.pyannote[1410].start 10425.50721875
transcript.pyannote[1410].end 10428.05534375
transcript.pyannote[1411].speaker SPEAKER_25
transcript.pyannote[1411].start 10428.42659375
transcript.pyannote[1411].end 10429.30409375
transcript.pyannote[1412].speaker SPEAKER_18
transcript.pyannote[1412].start 10428.76409375
transcript.pyannote[1412].end 10430.29971875
transcript.pyannote[1413].speaker SPEAKER_25
transcript.pyannote[1413].start 10430.29971875
transcript.pyannote[1413].end 10437.11721875
transcript.pyannote[1414].speaker SPEAKER_25
transcript.pyannote[1414].start 10437.37034375
transcript.pyannote[1414].end 10443.22596875
transcript.pyannote[1415].speaker SPEAKER_25
transcript.pyannote[1415].start 10443.36096875
transcript.pyannote[1415].end 10453.51971875
transcript.pyannote[1416].speaker SPEAKER_14
transcript.pyannote[1416].start 10451.59596875
transcript.pyannote[1416].end 10457.50221875
transcript.pyannote[1417].speaker SPEAKER_25
transcript.pyannote[1417].start 10454.95409375
transcript.pyannote[1417].end 10458.59909375
transcript.pyannote[1418].speaker SPEAKER_25
transcript.pyannote[1418].start 10458.98721875
transcript.pyannote[1418].end 10460.18534375
transcript.pyannote[1419].speaker SPEAKER_14
transcript.pyannote[1419].start 10459.08846875
transcript.pyannote[1419].end 10465.43346875
transcript.pyannote[1420].speaker SPEAKER_25
transcript.pyannote[1420].start 10461.67034375
transcript.pyannote[1420].end 10462.96971875
transcript.pyannote[1421].speaker SPEAKER_26
transcript.pyannote[1421].start 10462.96971875
transcript.pyannote[1421].end 10480.72221875
transcript.pyannote[1422].speaker SPEAKER_14
transcript.pyannote[1422].start 10465.82159375
transcript.pyannote[1422].end 10466.14221875
transcript.pyannote[1423].speaker SPEAKER_14
transcript.pyannote[1423].start 10467.57659375
transcript.pyannote[1423].end 10468.25159375
transcript.pyannote[1424].speaker SPEAKER_14
transcript.pyannote[1424].start 10468.45409375
transcript.pyannote[1424].end 10468.97721875
transcript.pyannote[1425].speaker SPEAKER_00
transcript.pyannote[1425].start 10468.97721875
transcript.pyannote[1425].end 10472.35221875
transcript.pyannote[1426].speaker SPEAKER_37
transcript.pyannote[1426].start 10472.35221875
transcript.pyannote[1426].end 10472.68971875
transcript.pyannote[1427].speaker SPEAKER_00
transcript.pyannote[1427].start 10472.68971875
transcript.pyannote[1427].end 10473.02721875
transcript.pyannote[1428].speaker SPEAKER_14
transcript.pyannote[1428].start 10473.02721875
transcript.pyannote[1428].end 10474.03971875
transcript.pyannote[1429].speaker SPEAKER_00
transcript.pyannote[1429].start 10474.03971875
transcript.pyannote[1429].end 10474.05659375
transcript.pyannote[1430].speaker SPEAKER_25
transcript.pyannote[1430].start 10478.46096875
transcript.pyannote[1430].end 10478.49471875
transcript.pyannote[1431].speaker SPEAKER_14
transcript.pyannote[1431].start 10478.49471875
transcript.pyannote[1431].end 10478.81534375
transcript.pyannote[1432].speaker SPEAKER_14
transcript.pyannote[1432].start 10480.01346875
transcript.pyannote[1432].end 10487.16846875
transcript.pyannote[1433].speaker SPEAKER_26
transcript.pyannote[1433].start 10480.73909375
transcript.pyannote[1433].end 10480.78971875
transcript.pyannote[1434].speaker SPEAKER_25
transcript.pyannote[1434].start 10482.84846875
transcript.pyannote[1434].end 10482.86534375
transcript.pyannote[1435].speaker SPEAKER_26
transcript.pyannote[1435].start 10482.86534375
transcript.pyannote[1435].end 10483.96221875
transcript.pyannote[1436].speaker SPEAKER_25
transcript.pyannote[1436].start 10483.96221875
transcript.pyannote[1436].end 10485.24471875
transcript.pyannote[1437].speaker SPEAKER_14
transcript.pyannote[1437].start 10487.53971875
transcript.pyannote[1437].end 10491.55596875
transcript.pyannote[1438].speaker SPEAKER_14
transcript.pyannote[1438].start 10494.18846875
transcript.pyannote[1438].end 10494.20534375
transcript.pyannote[1439].speaker SPEAKER_25
transcript.pyannote[1439].start 10494.20534375
transcript.pyannote[1439].end 10494.57659375
transcript.pyannote[1440].speaker SPEAKER_14
transcript.pyannote[1440].start 10494.88034375
transcript.pyannote[1440].end 10494.89721875
transcript.pyannote[1441].speaker SPEAKER_25
transcript.pyannote[1441].start 10494.89721875
transcript.pyannote[1441].end 10495.40346875
transcript.pyannote[1442].speaker SPEAKER_25
transcript.pyannote[1442].start 10496.19659375
transcript.pyannote[1442].end 10498.03596875
transcript.pyannote[1443].speaker SPEAKER_25
transcript.pyannote[1443].start 10499.11596875
transcript.pyannote[1443].end 10501.02284375
transcript.pyannote[1444].speaker SPEAKER_25
transcript.pyannote[1444].start 10501.24221875
transcript.pyannote[1444].end 10501.49534375
transcript.pyannote[1445].speaker SPEAKER_25
transcript.pyannote[1445].start 10501.69784375
transcript.pyannote[1445].end 10502.54159375
transcript.pyannote[1446].speaker SPEAKER_25
transcript.pyannote[1446].start 10502.94659375
transcript.pyannote[1446].end 10508.31284375
transcript.pyannote[1447].speaker SPEAKER_25
transcript.pyannote[1447].start 10508.63346875
transcript.pyannote[1447].end 10515.09659375
transcript.pyannote[1448].speaker SPEAKER_25
transcript.pyannote[1448].start 10515.40034375
transcript.pyannote[1448].end 10519.01159375
transcript.pyannote[1449].speaker SPEAKER_25
transcript.pyannote[1449].start 10520.09159375
transcript.pyannote[1449].end 10520.26034375
transcript.pyannote[1450].speaker SPEAKER_25
transcript.pyannote[1450].start 10520.47971875
transcript.pyannote[1450].end 10526.62221875
transcript.pyannote[1451].speaker SPEAKER_25
transcript.pyannote[1451].start 10526.85846875
transcript.pyannote[1451].end 10536.64596875
transcript.pyannote[1452].speaker SPEAKER_25
transcript.pyannote[1452].start 10537.81034375
transcript.pyannote[1452].end 10539.95346875
transcript.pyannote[1453].speaker SPEAKER_25
transcript.pyannote[1453].start 10540.27409375
transcript.pyannote[1453].end 10542.50159375
transcript.pyannote[1454].speaker SPEAKER_25
transcript.pyannote[1454].start 10542.99096875
transcript.pyannote[1454].end 10545.47159375
transcript.pyannote[1455].speaker SPEAKER_25
transcript.pyannote[1455].start 10546.04534375
transcript.pyannote[1455].end 10550.31471875
transcript.pyannote[1456].speaker SPEAKER_25
transcript.pyannote[1456].start 10550.75346875
transcript.pyannote[1456].end 10551.31034375
transcript.pyannote[1457].speaker SPEAKER_25
transcript.pyannote[1457].start 10551.69846875
transcript.pyannote[1457].end 10554.73596875
transcript.pyannote[1458].speaker SPEAKER_25
transcript.pyannote[1458].start 10555.41096875
transcript.pyannote[1458].end 10560.01784375
transcript.pyannote[1459].speaker SPEAKER_25
transcript.pyannote[1459].start 10560.30471875
transcript.pyannote[1459].end 10564.45596875
transcript.pyannote[1460].speaker SPEAKER_25
transcript.pyannote[1460].start 10564.65846875
transcript.pyannote[1460].end 10567.15596875
transcript.pyannote[1461].speaker SPEAKER_25
transcript.pyannote[1461].start 10568.01659375
transcript.pyannote[1461].end 10572.43784375
transcript.pyannote[1462].speaker SPEAKER_25
transcript.pyannote[1462].start 10572.85971875
transcript.pyannote[1462].end 10573.41659375
transcript.pyannote[1463].speaker SPEAKER_25
transcript.pyannote[1463].start 10574.05784375
transcript.pyannote[1463].end 10577.21346875
transcript.pyannote[1464].speaker SPEAKER_25
transcript.pyannote[1464].start 10577.73659375
transcript.pyannote[1464].end 10578.95159375
transcript.pyannote[1465].speaker SPEAKER_25
transcript.pyannote[1465].start 10579.06971875
transcript.pyannote[1465].end 10582.27596875
transcript.pyannote[1466].speaker SPEAKER_25
transcript.pyannote[1466].start 10582.74846875
transcript.pyannote[1466].end 10584.65534375
transcript.pyannote[1467].speaker SPEAKER_25
transcript.pyannote[1467].start 10584.99284375
transcript.pyannote[1467].end 10588.68846875
transcript.pyannote[1468].speaker SPEAKER_25
transcript.pyannote[1468].start 10588.87409375
transcript.pyannote[1468].end 10589.81909375
transcript.pyannote[1469].speaker SPEAKER_25
transcript.pyannote[1469].start 10590.07221875
transcript.pyannote[1469].end 10599.13409375
transcript.pyannote[1470].speaker SPEAKER_25
transcript.pyannote[1470].start 10599.48846875
transcript.pyannote[1470].end 10600.43346875
transcript.pyannote[1471].speaker SPEAKER_25
transcript.pyannote[1471].start 10601.14221875
transcript.pyannote[1471].end 10603.38659375
transcript.pyannote[1472].speaker SPEAKER_25
transcript.pyannote[1472].start 10604.02784375
transcript.pyannote[1472].end 10606.87971875
transcript.pyannote[1473].speaker SPEAKER_25
transcript.pyannote[1473].start 10607.53784375
transcript.pyannote[1473].end 10618.45596875
transcript.pyannote[1474].speaker SPEAKER_25
transcript.pyannote[1474].start 10618.82721875
transcript.pyannote[1474].end 10628.64846875
transcript.pyannote[1475].speaker SPEAKER_18
transcript.pyannote[1475].start 10628.88471875
transcript.pyannote[1475].end 10643.09346875
transcript.pyannote[1476].speaker SPEAKER_25
transcript.pyannote[1476].start 10642.67159375
transcript.pyannote[1476].end 10645.40534375
transcript.pyannote[1477].speaker SPEAKER_18
transcript.pyannote[1477].start 10644.62909375
transcript.pyannote[1477].end 10663.15784375
transcript.pyannote[1478].speaker SPEAKER_25
transcript.pyannote[1478].start 10663.15784375
transcript.pyannote[1478].end 10670.59971875
transcript.pyannote[1479].speaker SPEAKER_25
transcript.pyannote[1479].start 10672.89471875
transcript.pyannote[1479].end 10702.66221875
transcript.pyannote[1480].speaker SPEAKER_25
transcript.pyannote[1480].start 10703.08409375
transcript.pyannote[1480].end 10706.83034375
transcript.pyannote[1481].speaker SPEAKER_18
transcript.pyannote[1481].start 10706.91471875
transcript.pyannote[1481].end 10708.33221875
transcript.pyannote[1482].speaker SPEAKER_28
transcript.pyannote[1482].start 10716.92159375
transcript.pyannote[1482].end 10716.93846875
transcript.pyannote[1483].speaker SPEAKER_30
transcript.pyannote[1483].start 10716.93846875
transcript.pyannote[1483].end 10717.02284375
transcript.pyannote[1484].speaker SPEAKER_28
transcript.pyannote[1484].start 10717.02284375
transcript.pyannote[1484].end 10717.15784375
transcript.pyannote[1485].speaker SPEAKER_30
transcript.pyannote[1485].start 10717.15784375
transcript.pyannote[1485].end 10717.17471875
transcript.pyannote[1486].speaker SPEAKER_24
transcript.pyannote[1486].start 10721.02221875
transcript.pyannote[1486].end 10723.94159375
transcript.pyannote[1487].speaker SPEAKER_08
transcript.pyannote[1487].start 10728.78471875
transcript.pyannote[1487].end 10729.67909375
transcript.pyannote[1488].speaker SPEAKER_08
transcript.pyannote[1488].start 10729.86471875
transcript.pyannote[1488].end 10733.99909375
transcript.pyannote[1489].speaker SPEAKER_08
transcript.pyannote[1489].start 10738.30221875
transcript.pyannote[1489].end 10752.29159375
transcript.pyannote[1490].speaker SPEAKER_08
transcript.pyannote[1490].start 10752.61221875
transcript.pyannote[1490].end 10754.26596875
transcript.pyannote[1491].speaker SPEAKER_18
transcript.pyannote[1491].start 10754.26596875
transcript.pyannote[1491].end 10757.23596875
transcript.pyannote[1492].speaker SPEAKER_08
transcript.pyannote[1492].start 10754.35034375
transcript.pyannote[1492].end 10754.87346875
transcript.pyannote[1493].speaker SPEAKER_08
transcript.pyannote[1493].start 10756.12221875
transcript.pyannote[1493].end 10756.83096875
transcript.pyannote[1494].speaker SPEAKER_08
transcript.pyannote[1494].start 10757.23596875
transcript.pyannote[1494].end 10757.25284375
transcript.pyannote[1495].speaker SPEAKER_08
transcript.pyannote[1495].start 10757.45534375
transcript.pyannote[1495].end 10762.92284375
transcript.pyannote[1496].speaker SPEAKER_08
transcript.pyannote[1496].start 10762.97346875
transcript.pyannote[1496].end 10763.93534375
transcript.pyannote[1497].speaker SPEAKER_18
transcript.pyannote[1497].start 10763.98596875
transcript.pyannote[1497].end 10772.35596875
transcript.pyannote[1498].speaker SPEAKER_08
transcript.pyannote[1498].start 10773.41909375
transcript.pyannote[1498].end 10774.09409375
transcript.pyannote[1499].speaker SPEAKER_08
transcript.pyannote[1499].start 10774.43159375
transcript.pyannote[1499].end 10785.19784375
transcript.pyannote[1500].speaker SPEAKER_08
transcript.pyannote[1500].start 10785.50159375
transcript.pyannote[1500].end 10786.53096875
transcript.pyannote[1501].speaker SPEAKER_18
transcript.pyannote[1501].start 10786.58159375
transcript.pyannote[1501].end 10792.60596875
transcript.pyannote[1502].speaker SPEAKER_18
transcript.pyannote[1502].start 10792.62284375
transcript.pyannote[1502].end 10795.93034375
transcript.pyannote[1503].speaker SPEAKER_18
transcript.pyannote[1503].start 10796.35221875
transcript.pyannote[1503].end 10800.55409375
transcript.pyannote[1504].speaker SPEAKER_08
transcript.pyannote[1504].start 10801.75221875
transcript.pyannote[1504].end 10804.70534375
transcript.pyannote[1505].speaker SPEAKER_18
transcript.pyannote[1505].start 10804.84034375
transcript.pyannote[1505].end 10810.81409375
transcript.pyannote[1506].speaker SPEAKER_18
transcript.pyannote[1506].start 10811.06721875
transcript.pyannote[1506].end 10821.34409375
transcript.pyannote[1507].speaker SPEAKER_08
transcript.pyannote[1507].start 10822.50846875
transcript.pyannote[1507].end 10826.28846875
transcript.pyannote[1508].speaker SPEAKER_08
transcript.pyannote[1508].start 10826.45721875
transcript.pyannote[1508].end 10829.02221875
transcript.pyannote[1509].speaker SPEAKER_08
transcript.pyannote[1509].start 10829.51159375
transcript.pyannote[1509].end 10832.46471875
transcript.pyannote[1510].speaker SPEAKER_08
transcript.pyannote[1510].start 10832.88659375
transcript.pyannote[1510].end 10837.18971875
transcript.pyannote[1511].speaker SPEAKER_08
transcript.pyannote[1511].start 10837.86471875
transcript.pyannote[1511].end 10843.36596875
transcript.pyannote[1512].speaker SPEAKER_08
transcript.pyannote[1512].start 10843.48409375
transcript.pyannote[1512].end 10850.57159375
transcript.pyannote[1513].speaker SPEAKER_08
transcript.pyannote[1513].start 10850.68971875
transcript.pyannote[1513].end 10851.88784375
transcript.pyannote[1514].speaker SPEAKER_08
transcript.pyannote[1514].start 10852.57971875
transcript.pyannote[1514].end 10853.01846875
transcript.pyannote[1515].speaker SPEAKER_08
transcript.pyannote[1515].start 10853.32221875
transcript.pyannote[1515].end 10865.11784375
transcript.pyannote[1516].speaker SPEAKER_08
transcript.pyannote[1516].start 10865.47221875
transcript.pyannote[1516].end 10871.56409375
transcript.pyannote[1517].speaker SPEAKER_08
transcript.pyannote[1517].start 10872.59346875
transcript.pyannote[1517].end 10884.65909375
transcript.pyannote[1518].speaker SPEAKER_08
transcript.pyannote[1518].start 10885.36784375
transcript.pyannote[1518].end 10887.32534375
transcript.pyannote[1519].speaker SPEAKER_18
transcript.pyannote[1519].start 10887.78096875
transcript.pyannote[1519].end 10910.30909375
transcript.pyannote[1520].speaker SPEAKER_08
transcript.pyannote[1520].start 10911.67596875
transcript.pyannote[1520].end 10916.24909375
transcript.pyannote[1521].speaker SPEAKER_18
transcript.pyannote[1521].start 10915.11846875
transcript.pyannote[1521].end 10917.43034375
transcript.pyannote[1522].speaker SPEAKER_18
transcript.pyannote[1522].start 10917.97034375
transcript.pyannote[1522].end 10920.01221875
transcript.pyannote[1523].speaker SPEAKER_08
transcript.pyannote[1523].start 10918.12221875
transcript.pyannote[1523].end 10919.74221875
transcript.pyannote[1524].speaker SPEAKER_08
transcript.pyannote[1524].start 10920.01221875
transcript.pyannote[1524].end 10924.26471875
transcript.pyannote[1525].speaker SPEAKER_08
transcript.pyannote[1525].start 10924.93971875
transcript.pyannote[1525].end 10927.18409375
transcript.pyannote[1526].speaker SPEAKER_08
transcript.pyannote[1526].start 10927.47096875
transcript.pyannote[1526].end 10931.03159375
transcript.pyannote[1527].speaker SPEAKER_08
transcript.pyannote[1527].start 10931.36909375
transcript.pyannote[1527].end 10934.08596875
transcript.pyannote[1528].speaker SPEAKER_08
transcript.pyannote[1528].start 10934.54159375
transcript.pyannote[1528].end 10936.60034375
transcript.pyannote[1529].speaker SPEAKER_08
transcript.pyannote[1529].start 10936.70159375
transcript.pyannote[1529].end 10937.98409375
transcript.pyannote[1530].speaker SPEAKER_08
transcript.pyannote[1530].start 10938.52409375
transcript.pyannote[1530].end 10939.82346875
transcript.pyannote[1531].speaker SPEAKER_08
transcript.pyannote[1531].start 10940.43096875
transcript.pyannote[1531].end 10944.75096875
transcript.pyannote[1532].speaker SPEAKER_08
transcript.pyannote[1532].start 10945.32471875
transcript.pyannote[1532].end 10950.31971875
transcript.pyannote[1533].speaker SPEAKER_08
transcript.pyannote[1533].start 10950.75846875
transcript.pyannote[1533].end 10952.02409375
transcript.pyannote[1534].speaker SPEAKER_08
transcript.pyannote[1534].start 10952.19284375
transcript.pyannote[1534].end 10953.20534375
transcript.pyannote[1535].speaker SPEAKER_08
transcript.pyannote[1535].start 10953.32346875
transcript.pyannote[1535].end 10954.62284375
transcript.pyannote[1536].speaker SPEAKER_08
transcript.pyannote[1536].start 10954.74096875
transcript.pyannote[1536].end 10956.07409375
transcript.pyannote[1537].speaker SPEAKER_08
transcript.pyannote[1537].start 10956.52971875
transcript.pyannote[1537].end 10957.99784375
transcript.pyannote[1538].speaker SPEAKER_08
transcript.pyannote[1538].start 10958.23409375
transcript.pyannote[1538].end 10958.75721875
transcript.pyannote[1539].speaker SPEAKER_08
transcript.pyannote[1539].start 10960.09034375
transcript.pyannote[1539].end 10965.08534375
transcript.pyannote[1540].speaker SPEAKER_18
transcript.pyannote[1540].start 10965.47346875
transcript.pyannote[1540].end 10978.11284375
transcript.pyannote[1541].speaker SPEAKER_08
transcript.pyannote[1541].start 10972.24034375
transcript.pyannote[1541].end 10975.71659375
transcript.pyannote[1542].speaker SPEAKER_08
transcript.pyannote[1542].start 10976.56034375
transcript.pyannote[1542].end 10977.30284375
transcript.pyannote[1543].speaker SPEAKER_08
transcript.pyannote[1543].start 10978.26471875
transcript.pyannote[1543].end 10981.63971875
transcript.pyannote[1544].speaker SPEAKER_08
transcript.pyannote[1544].start 10981.70721875
transcript.pyannote[1544].end 10981.74096875
transcript.pyannote[1545].speaker SPEAKER_18
transcript.pyannote[1545].start 10981.74096875
transcript.pyannote[1545].end 10982.28096875
transcript.pyannote[1546].speaker SPEAKER_08
transcript.pyannote[1546].start 10982.28096875
transcript.pyannote[1546].end 10984.54221875
transcript.pyannote[1547].speaker SPEAKER_18
transcript.pyannote[1547].start 10984.94721875
transcript.pyannote[1547].end 10984.96409375
transcript.pyannote[1548].speaker SPEAKER_08
transcript.pyannote[1548].start 10984.96409375
transcript.pyannote[1548].end 10988.45721875
transcript.pyannote[1549].speaker SPEAKER_08
transcript.pyannote[1549].start 10988.67659375
transcript.pyannote[1549].end 10991.71409375
transcript.pyannote[1550].speaker SPEAKER_08
transcript.pyannote[1550].start 10992.10221875
transcript.pyannote[1550].end 10993.41846875
transcript.pyannote[1551].speaker SPEAKER_08
transcript.pyannote[1551].start 10994.41409375
transcript.pyannote[1551].end 10996.45596875
transcript.pyannote[1552].speaker SPEAKER_08
transcript.pyannote[1552].start 10996.84409375
transcript.pyannote[1552].end 11008.62284375
transcript.pyannote[1553].speaker SPEAKER_08
transcript.pyannote[1553].start 11009.12909375
transcript.pyannote[1553].end 11012.31846875
transcript.pyannote[1554].speaker SPEAKER_18
transcript.pyannote[1554].start 11012.33534375
transcript.pyannote[1554].end 11022.44346875
transcript.pyannote[1555].speaker SPEAKER_08
transcript.pyannote[1555].start 11021.92034375
transcript.pyannote[1555].end 11026.05471875
transcript.pyannote[1556].speaker SPEAKER_08
transcript.pyannote[1556].start 11026.37534375
transcript.pyannote[1556].end 11031.53909375
transcript.pyannote[1557].speaker SPEAKER_18
transcript.pyannote[1557].start 11031.58971875
transcript.pyannote[1557].end 11040.58409375
transcript.pyannote[1558].speaker SPEAKER_08
transcript.pyannote[1558].start 11032.66971875
transcript.pyannote[1558].end 11032.78784375
transcript.pyannote[1559].speaker SPEAKER_08
transcript.pyannote[1559].start 11034.74534375
transcript.pyannote[1559].end 11036.41596875
transcript.pyannote[1560].speaker SPEAKER_08
transcript.pyannote[1560].start 11038.76159375
transcript.pyannote[1560].end 11050.50659375
transcript.pyannote[1561].speaker SPEAKER_18
transcript.pyannote[1561].start 11049.57846875
transcript.pyannote[1561].end 11061.72846875
transcript.pyannote[1562].speaker SPEAKER_08
transcript.pyannote[1562].start 11052.29534375
transcript.pyannote[1562].end 11052.80159375
transcript.pyannote[1563].speaker SPEAKER_08
transcript.pyannote[1563].start 11059.55159375
transcript.pyannote[1563].end 11067.44909375
transcript.pyannote[1564].speaker SPEAKER_18
transcript.pyannote[1564].start 11063.38221875
transcript.pyannote[1564].end 11063.71971875
transcript.pyannote[1565].speaker SPEAKER_18
transcript.pyannote[1565].start 11065.03596875
transcript.pyannote[1565].end 11070.94221875
transcript.pyannote[1566].speaker SPEAKER_08
transcript.pyannote[1566].start 11069.79471875
transcript.pyannote[1566].end 11075.41409375
transcript.pyannote[1567].speaker SPEAKER_08
transcript.pyannote[1567].start 11075.83596875
transcript.pyannote[1567].end 11076.46034375
transcript.pyannote[1568].speaker SPEAKER_08
transcript.pyannote[1568].start 11077.05096875
transcript.pyannote[1568].end 11079.41346875
transcript.pyannote[1569].speaker SPEAKER_08
transcript.pyannote[1569].start 11079.81846875
transcript.pyannote[1569].end 11092.12034375
transcript.pyannote[1570].speaker SPEAKER_08
transcript.pyannote[1570].start 11093.03159375
transcript.pyannote[1570].end 11093.89221875
transcript.pyannote[1571].speaker SPEAKER_08
transcript.pyannote[1571].start 11094.44909375
transcript.pyannote[1571].end 11096.38971875
transcript.pyannote[1572].speaker SPEAKER_18
transcript.pyannote[1572].start 11096.69346875
transcript.pyannote[1572].end 11118.32721875
transcript.pyannote[1573].speaker SPEAKER_08
transcript.pyannote[1573].start 11116.80846875
transcript.pyannote[1573].end 11118.54659375
transcript.pyannote[1574].speaker SPEAKER_08
transcript.pyannote[1574].start 11118.73221875
transcript.pyannote[1574].end 11127.40596875
transcript.pyannote[1575].speaker SPEAKER_08
transcript.pyannote[1575].start 11127.70971875
transcript.pyannote[1575].end 11130.59534375
transcript.pyannote[1576].speaker SPEAKER_08
transcript.pyannote[1576].start 11132.24909375
transcript.pyannote[1576].end 11134.24034375
transcript.pyannote[1577].speaker SPEAKER_18
transcript.pyannote[1577].start 11134.49346875
transcript.pyannote[1577].end 11138.54346875
transcript.pyannote[1578].speaker SPEAKER_18
transcript.pyannote[1578].start 11139.18471875
transcript.pyannote[1578].end 11141.88471875
transcript.pyannote[1579].speaker SPEAKER_18
transcript.pyannote[1579].start 11141.95221875
transcript.pyannote[1579].end 11143.60596875
transcript.pyannote[1580].speaker SPEAKER_08
transcript.pyannote[1580].start 11142.77909375
transcript.pyannote[1580].end 11145.49596875
transcript.pyannote[1581].speaker SPEAKER_18
transcript.pyannote[1581].start 11145.49596875
transcript.pyannote[1581].end 11155.31721875
transcript.pyannote[1582].speaker SPEAKER_08
transcript.pyannote[1582].start 11146.55909375
transcript.pyannote[1582].end 11146.66034375
transcript.pyannote[1583].speaker SPEAKER_07
transcript.pyannote[1583].start 11154.45659375
transcript.pyannote[1583].end 11154.96284375
transcript.pyannote[1584].speaker SPEAKER_08
transcript.pyannote[1584].start 11156.38034375
transcript.pyannote[1584].end 11161.40909375
transcript.pyannote[1585].speaker SPEAKER_08
transcript.pyannote[1585].start 11161.69596875
transcript.pyannote[1585].end 11163.11346875
transcript.pyannote[1586].speaker SPEAKER_18
transcript.pyannote[1586].start 11162.42159375
transcript.pyannote[1586].end 11166.28596875
transcript.pyannote[1587].speaker SPEAKER_08
transcript.pyannote[1587].start 11165.03721875
transcript.pyannote[1587].end 11171.60159375
transcript.pyannote[1588].speaker SPEAKER_08
transcript.pyannote[1588].start 11172.00659375
transcript.pyannote[1588].end 11174.06534375
transcript.pyannote[1589].speaker SPEAKER_08
transcript.pyannote[1589].start 11174.63909375
transcript.pyannote[1589].end 11176.07346875
transcript.pyannote[1590].speaker SPEAKER_08
transcript.pyannote[1590].start 11176.10721875
transcript.pyannote[1590].end 11178.36846875
transcript.pyannote[1591].speaker SPEAKER_08
transcript.pyannote[1591].start 11178.82409375
transcript.pyannote[1591].end 11179.68471875
transcript.pyannote[1592].speaker SPEAKER_18
transcript.pyannote[1592].start 11179.90409375
transcript.pyannote[1592].end 11181.91221875
transcript.pyannote[1593].speaker SPEAKER_18
transcript.pyannote[1593].start 11183.53221875
transcript.pyannote[1593].end 11184.10596875
transcript.pyannote[1594].speaker SPEAKER_18
transcript.pyannote[1594].start 11184.19034375
transcript.pyannote[1594].end 11189.99534375
transcript.pyannote[1595].speaker SPEAKER_08
transcript.pyannote[1595].start 11186.02971875
transcript.pyannote[1595].end 11188.78034375
transcript.pyannote[1596].speaker SPEAKER_08
transcript.pyannote[1596].start 11189.99534375
transcript.pyannote[1596].end 11202.14534375
transcript.pyannote[1597].speaker SPEAKER_18
transcript.pyannote[1597].start 11190.94034375
transcript.pyannote[1597].end 11191.51409375
transcript.pyannote[1598].speaker SPEAKER_08
transcript.pyannote[1598].start 11202.71909375
transcript.pyannote[1598].end 11210.12721875
transcript.pyannote[1599].speaker SPEAKER_18
transcript.pyannote[1599].start 11210.95409375
transcript.pyannote[1599].end 11219.57721875
transcript.pyannote[1600].speaker SPEAKER_08
transcript.pyannote[1600].start 11218.88534375
transcript.pyannote[1600].end 11219.10471875
transcript.pyannote[1601].speaker SPEAKER_08
transcript.pyannote[1601].start 11219.72909375
transcript.pyannote[1601].end 11222.15909375
transcript.pyannote[1602].speaker SPEAKER_18
transcript.pyannote[1602].start 11220.31971875
transcript.pyannote[1602].end 11220.37034375
transcript.pyannote[1603].speaker SPEAKER_18
transcript.pyannote[1603].start 11221.11284375
transcript.pyannote[1603].end 11222.46284375
transcript.pyannote[1604].speaker SPEAKER_14
transcript.pyannote[1604].start 11227.30596875
transcript.pyannote[1604].end 11229.44909375
transcript.pyannote[1605].speaker SPEAKER_20
transcript.pyannote[1605].start 11238.84846875
transcript.pyannote[1605].end 11241.93659375
transcript.pyannote[1606].speaker SPEAKER_20
transcript.pyannote[1606].start 11246.42534375
transcript.pyannote[1606].end 11247.48846875
transcript.pyannote[1607].speaker SPEAKER_20
transcript.pyannote[1607].start 11248.55159375
transcript.pyannote[1607].end 11270.20221875
transcript.pyannote[1608].speaker SPEAKER_20
transcript.pyannote[1608].start 11270.48909375
transcript.pyannote[1608].end 11274.03284375
transcript.pyannote[1609].speaker SPEAKER_18
transcript.pyannote[1609].start 11274.03284375
transcript.pyannote[1609].end 11313.11534375
transcript.pyannote[1610].speaker SPEAKER_18
transcript.pyannote[1610].start 11314.26284375
transcript.pyannote[1610].end 11314.27971875
transcript.pyannote[1611].speaker SPEAKER_20
transcript.pyannote[1611].start 11314.27971875
transcript.pyannote[1611].end 11314.29659375
transcript.pyannote[1612].speaker SPEAKER_18
transcript.pyannote[1612].start 11314.29659375
transcript.pyannote[1612].end 11314.39784375
transcript.pyannote[1613].speaker SPEAKER_20
transcript.pyannote[1613].start 11314.39784375
transcript.pyannote[1613].end 11365.95096875
transcript.pyannote[1614].speaker SPEAKER_20
transcript.pyannote[1614].start 11366.50784375
transcript.pyannote[1614].end 11397.50721875
transcript.pyannote[1615].speaker SPEAKER_20
transcript.pyannote[1615].start 11398.31721875
transcript.pyannote[1615].end 11451.79409375
transcript.pyannote[1616].speaker SPEAKER_20
transcript.pyannote[1616].start 11452.45221875
transcript.pyannote[1616].end 11458.61159375
transcript.pyannote[1617].speaker SPEAKER_20
transcript.pyannote[1617].start 11459.38784375
transcript.pyannote[1617].end 11470.03596875
transcript.pyannote[1618].speaker SPEAKER_20
transcript.pyannote[1618].start 11470.66034375
transcript.pyannote[1618].end 11471.92596875
transcript.pyannote[1619].speaker SPEAKER_20
transcript.pyannote[1619].start 11472.43221875
transcript.pyannote[1619].end 11475.08159375
transcript.pyannote[1620].speaker SPEAKER_18
transcript.pyannote[1620].start 11475.08159375
transcript.pyannote[1620].end 11494.21784375
transcript.pyannote[1621].speaker SPEAKER_20
transcript.pyannote[1621].start 11475.21659375
transcript.pyannote[1621].end 11475.45284375
transcript.pyannote[1622].speaker SPEAKER_18
transcript.pyannote[1622].start 11494.47096875
transcript.pyannote[1622].end 11512.03784375
transcript.pyannote[1623].speaker SPEAKER_18
transcript.pyannote[1623].start 11512.25721875
transcript.pyannote[1623].end 11515.26096875
transcript.pyannote[1624].speaker SPEAKER_18
transcript.pyannote[1624].start 11515.37909375
transcript.pyannote[1624].end 11516.59409375
transcript.pyannote[1625].speaker SPEAKER_18
transcript.pyannote[1625].start 11516.79659375
transcript.pyannote[1625].end 11532.11909375
transcript.pyannote[1626].speaker SPEAKER_18
transcript.pyannote[1626].start 11532.84471875
transcript.pyannote[1626].end 11533.97534375
transcript.pyannote[1627].speaker SPEAKER_20
transcript.pyannote[1627].start 11533.97534375
transcript.pyannote[1627].end 11548.65659375
transcript.pyannote[1628].speaker SPEAKER_20
transcript.pyannote[1628].start 11549.58471875
transcript.pyannote[1628].end 11593.03784375
transcript.pyannote[1629].speaker SPEAKER_18
transcript.pyannote[1629].start 11593.03784375
transcript.pyannote[1629].end 11599.02846875
transcript.pyannote[1630].speaker SPEAKER_18
transcript.pyannote[1630].start 11599.19721875
transcript.pyannote[1630].end 11620.44284375
transcript.pyannote[1631].speaker SPEAKER_20
transcript.pyannote[1631].start 11621.43846875
transcript.pyannote[1631].end 11653.24784375
transcript.pyannote[1632].speaker SPEAKER_20
transcript.pyannote[1632].start 11654.22659375
transcript.pyannote[1632].end 11655.12096875
transcript.pyannote[1633].speaker SPEAKER_24
transcript.pyannote[1633].start 11660.01471875
transcript.pyannote[1633].end 11662.36034375
transcript.pyannote[1634].speaker SPEAKER_06
transcript.pyannote[1634].start 11671.55721875
transcript.pyannote[1634].end 11676.55221875
transcript.pyannote[1635].speaker SPEAKER_24
transcript.pyannote[1635].start 11676.87284375
transcript.pyannote[1635].end 11678.12159375
transcript.pyannote[1636].speaker SPEAKER_06
transcript.pyannote[1636].start 11682.57659375
transcript.pyannote[1636].end 11704.49721875
transcript.pyannote[1637].speaker SPEAKER_06
transcript.pyannote[1637].start 11704.76721875
transcript.pyannote[1637].end 11707.61909375
transcript.pyannote[1638].speaker SPEAKER_06
transcript.pyannote[1638].start 11707.92284375
transcript.pyannote[1638].end 11726.78909375
transcript.pyannote[1639].speaker SPEAKER_06
transcript.pyannote[1639].start 11727.14346875
transcript.pyannote[1639].end 11728.74659375
transcript.pyannote[1640].speaker SPEAKER_06
transcript.pyannote[1640].start 11728.96596875
transcript.pyannote[1640].end 11729.33721875
transcript.pyannote[1641].speaker SPEAKER_06
transcript.pyannote[1641].start 11729.74221875
transcript.pyannote[1641].end 11731.27784375
transcript.pyannote[1642].speaker SPEAKER_06
transcript.pyannote[1642].start 11731.63221875
transcript.pyannote[1642].end 11735.29409375
transcript.pyannote[1643].speaker SPEAKER_06
transcript.pyannote[1643].start 11735.46284375
transcript.pyannote[1643].end 11736.89721875
transcript.pyannote[1644].speaker SPEAKER_06
transcript.pyannote[1644].start 11737.16721875
transcript.pyannote[1644].end 11757.73784375
transcript.pyannote[1645].speaker SPEAKER_06
transcript.pyannote[1645].start 11758.17659375
transcript.pyannote[1645].end 11773.92096875
transcript.pyannote[1646].speaker SPEAKER_06
transcript.pyannote[1646].start 11773.98846875
transcript.pyannote[1646].end 11775.70971875
transcript.pyannote[1647].speaker SPEAKER_06
transcript.pyannote[1647].start 11775.94596875
transcript.pyannote[1647].end 11779.13534375
transcript.pyannote[1648].speaker SPEAKER_06
transcript.pyannote[1648].start 11779.40534375
transcript.pyannote[1648].end 11784.33284375
transcript.pyannote[1649].speaker SPEAKER_06
transcript.pyannote[1649].start 11784.55221875
transcript.pyannote[1649].end 11789.04096875
transcript.pyannote[1650].speaker SPEAKER_18
transcript.pyannote[1650].start 11789.47971875
transcript.pyannote[1650].end 11809.94909375
transcript.pyannote[1651].speaker SPEAKER_18
transcript.pyannote[1651].start 11810.06721875
transcript.pyannote[1651].end 11811.19784375
transcript.pyannote[1652].speaker SPEAKER_18
transcript.pyannote[1652].start 11811.41721875
transcript.pyannote[1652].end 11818.69034375
transcript.pyannote[1653].speaker SPEAKER_06
transcript.pyannote[1653].start 11819.50034375
transcript.pyannote[1653].end 11825.84534375
transcript.pyannote[1654].speaker SPEAKER_18
transcript.pyannote[1654].start 11826.01409375
transcript.pyannote[1654].end 11829.03471875
transcript.pyannote[1655].speaker SPEAKER_18
transcript.pyannote[1655].start 11829.54096875
transcript.pyannote[1655].end 11830.31721875
transcript.pyannote[1656].speaker SPEAKER_18
transcript.pyannote[1656].start 11830.55346875
transcript.pyannote[1656].end 11830.57034375
transcript.pyannote[1657].speaker SPEAKER_06
transcript.pyannote[1657].start 11830.57034375
transcript.pyannote[1657].end 11830.84034375
transcript.pyannote[1658].speaker SPEAKER_06
transcript.pyannote[1658].start 11831.31284375
transcript.pyannote[1658].end 11832.57846875
transcript.pyannote[1659].speaker SPEAKER_18
transcript.pyannote[1659].start 11832.81471875
transcript.pyannote[1659].end 11833.70909375
transcript.pyannote[1660].speaker SPEAKER_18
transcript.pyannote[1660].start 11834.08034375
transcript.pyannote[1660].end 11836.44284375
transcript.pyannote[1661].speaker SPEAKER_06
transcript.pyannote[1661].start 11836.99971875
transcript.pyannote[1661].end 11837.65784375
transcript.pyannote[1662].speaker SPEAKER_06
transcript.pyannote[1662].start 11838.01221875
transcript.pyannote[1662].end 11844.69471875
transcript.pyannote[1663].speaker SPEAKER_06
transcript.pyannote[1663].start 11845.09971875
transcript.pyannote[1663].end 11887.52346875
transcript.pyannote[1664].speaker SPEAKER_18
transcript.pyannote[1664].start 11845.25159375
transcript.pyannote[1664].end 11845.47096875
transcript.pyannote[1665].speaker SPEAKER_06
transcript.pyannote[1665].start 11888.29971875
transcript.pyannote[1665].end 11901.79971875
transcript.pyannote[1666].speaker SPEAKER_18
transcript.pyannote[1666].start 11902.35659375
transcript.pyannote[1666].end 11916.85221875
transcript.pyannote[1667].speaker SPEAKER_18
transcript.pyannote[1667].start 11917.25721875
transcript.pyannote[1667].end 11927.85471875
transcript.pyannote[1668].speaker SPEAKER_06
transcript.pyannote[1668].start 11925.93096875
transcript.pyannote[1668].end 11926.33596875
transcript.pyannote[1669].speaker SPEAKER_06
transcript.pyannote[1669].start 11929.00221875
transcript.pyannote[1669].end 11937.18659375
transcript.pyannote[1670].speaker SPEAKER_06
transcript.pyannote[1670].start 11937.45659375
transcript.pyannote[1670].end 11938.16534375
transcript.pyannote[1671].speaker SPEAKER_06
transcript.pyannote[1671].start 11938.55346875
transcript.pyannote[1671].end 11939.51534375
transcript.pyannote[1672].speaker SPEAKER_14
transcript.pyannote[1672].start 11939.51534375
transcript.pyannote[1672].end 11939.53221875
transcript.pyannote[1673].speaker SPEAKER_06
transcript.pyannote[1673].start 11942.78909375
transcript.pyannote[1673].end 11942.80596875
transcript.pyannote[1674].speaker SPEAKER_24
transcript.pyannote[1674].start 11942.80596875
transcript.pyannote[1674].end 11946.04596875
transcript.pyannote[1675].speaker SPEAKER_14
transcript.pyannote[1675].start 11952.99846875
transcript.pyannote[1675].end 11955.37784375
transcript.pyannote[1676].speaker SPEAKER_14
transcript.pyannote[1676].start 11956.18784375
transcript.pyannote[1676].end 11957.75721875
transcript.pyannote[1677].speaker SPEAKER_20
transcript.pyannote[1677].start 11961.57096875
transcript.pyannote[1677].end 11979.03659375
transcript.pyannote[1678].speaker SPEAKER_18
transcript.pyannote[1678].start 11979.03659375
transcript.pyannote[1678].end 11979.10409375
transcript.pyannote[1679].speaker SPEAKER_20
transcript.pyannote[1679].start 11979.10409375
transcript.pyannote[1679].end 11979.13784375
transcript.pyannote[1680].speaker SPEAKER_18
transcript.pyannote[1680].start 11979.79596875
transcript.pyannote[1680].end 11985.11159375
transcript.pyannote[1681].speaker SPEAKER_18
transcript.pyannote[1681].start 11985.44909375
transcript.pyannote[1681].end 11986.32659375
transcript.pyannote[1682].speaker SPEAKER_20
transcript.pyannote[1682].start 11986.49534375
transcript.pyannote[1682].end 12009.02346875
transcript.pyannote[1683].speaker SPEAKER_18
transcript.pyannote[1683].start 12009.02346875
transcript.pyannote[1683].end 12016.85346875
transcript.pyannote[1684].speaker SPEAKER_18
transcript.pyannote[1684].start 12017.14034375
transcript.pyannote[1684].end 12036.96846875
transcript.pyannote[1685].speaker SPEAKER_20
transcript.pyannote[1685].start 12036.96846875
transcript.pyannote[1685].end 12051.02534375
transcript.pyannote[1686].speaker SPEAKER_18
transcript.pyannote[1686].start 12051.02534375
transcript.pyannote[1686].end 12051.97034375
transcript.pyannote[1687].speaker SPEAKER_18
transcript.pyannote[1687].start 12052.32471875
transcript.pyannote[1687].end 12053.82659375
transcript.pyannote[1688].speaker SPEAKER_18
transcript.pyannote[1688].start 12054.07971875
transcript.pyannote[1688].end 12059.12534375
transcript.pyannote[1689].speaker SPEAKER_20
transcript.pyannote[1689].start 12057.06659375
transcript.pyannote[1689].end 12059.17596875
transcript.pyannote[1690].speaker SPEAKER_18
transcript.pyannote[1690].start 12059.17596875
transcript.pyannote[1690].end 12060.64409375
transcript.pyannote[1691].speaker SPEAKER_20
transcript.pyannote[1691].start 12060.64409375
transcript.pyannote[1691].end 12060.72846875
transcript.pyannote[1692].speaker SPEAKER_18
transcript.pyannote[1692].start 12060.72846875
transcript.pyannote[1692].end 12060.96471875
transcript.pyannote[1693].speaker SPEAKER_20
transcript.pyannote[1693].start 12060.96471875
transcript.pyannote[1693].end 12062.65221875
transcript.pyannote[1694].speaker SPEAKER_20
transcript.pyannote[1694].start 12063.44534375
transcript.pyannote[1694].end 12070.22909375
transcript.pyannote[1695].speaker SPEAKER_18
transcript.pyannote[1695].start 12070.36409375
transcript.pyannote[1695].end 12112.02846875
transcript.pyannote[1696].speaker SPEAKER_20
transcript.pyannote[1696].start 12081.77159375
transcript.pyannote[1696].end 12081.83909375
transcript.pyannote[1697].speaker SPEAKER_20
transcript.pyannote[1697].start 12081.85596875
transcript.pyannote[1697].end 12081.87284375
transcript.pyannote[1698].speaker SPEAKER_20
transcript.pyannote[1698].start 12088.25159375
transcript.pyannote[1698].end 12090.27659375
transcript.pyannote[1699].speaker SPEAKER_20
transcript.pyannote[1699].start 12094.22534375
transcript.pyannote[1699].end 12094.93409375
transcript.pyannote[1700].speaker SPEAKER_20
transcript.pyannote[1700].start 12095.42346875
transcript.pyannote[1700].end 12095.74409375
transcript.pyannote[1701].speaker SPEAKER_20
transcript.pyannote[1701].start 12112.02846875
transcript.pyannote[1701].end 12113.83409375
transcript.pyannote[1702].speaker SPEAKER_18
transcript.pyannote[1702].start 12113.83409375
transcript.pyannote[1702].end 12113.95221875
transcript.pyannote[1703].speaker SPEAKER_20
transcript.pyannote[1703].start 12113.95221875
transcript.pyannote[1703].end 12114.05346875
transcript.pyannote[1704].speaker SPEAKER_18
transcript.pyannote[1704].start 12114.05346875
transcript.pyannote[1704].end 12114.08721875
transcript.pyannote[1705].speaker SPEAKER_20
transcript.pyannote[1705].start 12114.08721875
transcript.pyannote[1705].end 12132.02534375
transcript.pyannote[1706].speaker SPEAKER_18
transcript.pyannote[1706].start 12132.02534375
transcript.pyannote[1706].end 12134.80971875
transcript.pyannote[1707].speaker SPEAKER_18
transcript.pyannote[1707].start 12135.77159375
transcript.pyannote[1707].end 12157.35471875
transcript.pyannote[1708].speaker SPEAKER_20
transcript.pyannote[1708].start 12144.02346875
transcript.pyannote[1708].end 12145.03596875
transcript.pyannote[1709].speaker SPEAKER_20
transcript.pyannote[1709].start 12156.03846875
transcript.pyannote[1709].end 12157.99596875
transcript.pyannote[1710].speaker SPEAKER_18
transcript.pyannote[1710].start 12157.99596875
transcript.pyannote[1710].end 12158.02971875
transcript.pyannote[1711].speaker SPEAKER_20
transcript.pyannote[1711].start 12158.02971875
transcript.pyannote[1711].end 12158.48534375
transcript.pyannote[1712].speaker SPEAKER_18
transcript.pyannote[1712].start 12158.48534375
transcript.pyannote[1712].end 12159.97034375
transcript.pyannote[1713].speaker SPEAKER_20
transcript.pyannote[1713].start 12159.97034375
transcript.pyannote[1713].end 12167.39534375
transcript.pyannote[1714].speaker SPEAKER_20
transcript.pyannote[1714].start 12167.58096875
transcript.pyannote[1714].end 12170.02784375
transcript.pyannote[1715].speaker SPEAKER_18
transcript.pyannote[1715].start 12170.02784375
transcript.pyannote[1715].end 12170.93909375
transcript.pyannote[1716].speaker SPEAKER_18
transcript.pyannote[1716].start 12171.27659375
transcript.pyannote[1716].end 12175.93409375
transcript.pyannote[1717].speaker SPEAKER_20
transcript.pyannote[1717].start 12175.93409375
transcript.pyannote[1717].end 12180.32159375
transcript.pyannote[1718].speaker SPEAKER_20
transcript.pyannote[1718].start 12180.84471875
transcript.pyannote[1718].end 12183.76409375
transcript.pyannote[1719].speaker SPEAKER_20
transcript.pyannote[1719].start 12184.72596875
transcript.pyannote[1719].end 12185.87346875
transcript.pyannote[1720].speaker SPEAKER_20
transcript.pyannote[1720].start 12185.99159375
transcript.pyannote[1720].end 12188.70846875
transcript.pyannote[1721].speaker SPEAKER_20
transcript.pyannote[1721].start 12189.56909375
transcript.pyannote[1721].end 12193.06221875
transcript.pyannote[1722].speaker SPEAKER_18
transcript.pyannote[1722].start 12193.06221875
transcript.pyannote[1722].end 12195.37409375
transcript.pyannote[1723].speaker SPEAKER_07
transcript.pyannote[1723].start 12194.46284375
transcript.pyannote[1723].end 12195.13784375
transcript.pyannote[1724].speaker SPEAKER_18
transcript.pyannote[1724].start 12195.49221875
transcript.pyannote[1724].end 12206.08971875
transcript.pyannote[1725].speaker SPEAKER_20
transcript.pyannote[1725].start 12203.28846875
transcript.pyannote[1725].end 12205.33034375
transcript.pyannote[1726].speaker SPEAKER_20
transcript.pyannote[1726].start 12206.08971875
transcript.pyannote[1726].end 12206.12346875
transcript.pyannote[1727].speaker SPEAKER_18
transcript.pyannote[1727].start 12206.12346875
transcript.pyannote[1727].end 12206.15721875
transcript.pyannote[1728].speaker SPEAKER_20
transcript.pyannote[1728].start 12206.15721875
transcript.pyannote[1728].end 12206.27534375
transcript.pyannote[1729].speaker SPEAKER_18
transcript.pyannote[1729].start 12206.27534375
transcript.pyannote[1729].end 12207.03471875
transcript.pyannote[1730].speaker SPEAKER_20
transcript.pyannote[1730].start 12207.03471875
transcript.pyannote[1730].end 12219.97784375
transcript.pyannote[1731].speaker SPEAKER_18
transcript.pyannote[1731].start 12207.50721875
transcript.pyannote[1731].end 12208.09784375
transcript.pyannote[1732].speaker SPEAKER_18
transcript.pyannote[1732].start 12208.13159375
transcript.pyannote[1732].end 12208.31721875
transcript.pyannote[1733].speaker SPEAKER_18
transcript.pyannote[1733].start 12208.51971875
transcript.pyannote[1733].end 12209.32971875
transcript.pyannote[1734].speaker SPEAKER_18
transcript.pyannote[1734].start 12219.75846875
transcript.pyannote[1734].end 12219.91034375
transcript.pyannote[1735].speaker SPEAKER_18
transcript.pyannote[1735].start 12219.97784375
transcript.pyannote[1735].end 12220.06221875
transcript.pyannote[1736].speaker SPEAKER_20
transcript.pyannote[1736].start 12220.06221875
transcript.pyannote[1736].end 12220.31534375
transcript.pyannote[1737].speaker SPEAKER_18
transcript.pyannote[1737].start 12220.95659375
transcript.pyannote[1737].end 12221.71596875
transcript.pyannote[1738].speaker SPEAKER_18
transcript.pyannote[1738].start 12222.32346875
transcript.pyannote[1738].end 12224.65221875
transcript.pyannote[1739].speaker SPEAKER_18
transcript.pyannote[1739].start 12225.39471875
transcript.pyannote[1739].end 12227.97659375
transcript.pyannote[1740].speaker SPEAKER_20
transcript.pyannote[1740].start 12225.41159375
transcript.pyannote[1740].end 12226.74471875
transcript.pyannote[1741].speaker SPEAKER_20
transcript.pyannote[1741].start 12227.97659375
transcript.pyannote[1741].end 12248.12534375
transcript.pyannote[1742].speaker SPEAKER_10
transcript.pyannote[1742].start 12253.42409375
transcript.pyannote[1742].end 12259.09409375
transcript.pyannote[1743].speaker SPEAKER_24
transcript.pyannote[1743].start 12265.57409375
transcript.pyannote[1743].end 12267.86909375
transcript.pyannote[1744].speaker SPEAKER_10
transcript.pyannote[1744].start 12268.61159375
transcript.pyannote[1744].end 12269.70846875
transcript.pyannote[1745].speaker SPEAKER_24
transcript.pyannote[1745].start 12276.32346875
transcript.pyannote[1745].end 12276.69471875
transcript.pyannote[1746].speaker SPEAKER_14
transcript.pyannote[1746].start 12276.69471875
transcript.pyannote[1746].end 12278.31471875
transcript.pyannote[1747].speaker SPEAKER_24
transcript.pyannote[1747].start 12278.63534375
transcript.pyannote[1747].end 12278.68596875
transcript.pyannote[1748].speaker SPEAKER_14
transcript.pyannote[1748].start 12278.68596875
transcript.pyannote[1748].end 12284.86221875
transcript.pyannote[1749].speaker SPEAKER_14
transcript.pyannote[1749].start 12285.75659375
transcript.pyannote[1749].end 12287.76471875
transcript.pyannote[1750].speaker SPEAKER_14
transcript.pyannote[1750].start 12288.89534375
transcript.pyannote[1750].end 12291.05534375
transcript.pyannote[1751].speaker SPEAKER_14
transcript.pyannote[1751].start 12292.35471875
transcript.pyannote[1751].end 12298.27784375
transcript.pyannote[1752].speaker SPEAKER_14
transcript.pyannote[1752].start 12299.08784375
transcript.pyannote[1752].end 12306.02346875
transcript.pyannote[1753].speaker SPEAKER_18
transcript.pyannote[1753].start 12306.02346875
transcript.pyannote[1753].end 12319.42221875
transcript.pyannote[1754].speaker SPEAKER_14
transcript.pyannote[1754].start 12308.65596875
transcript.pyannote[1754].end 12312.23346875
transcript.pyannote[1755].speaker SPEAKER_14
transcript.pyannote[1755].start 12317.98784375
transcript.pyannote[1755].end 12329.32784375
transcript.pyannote[1756].speaker SPEAKER_38
transcript.pyannote[1756].start 12323.05034375
transcript.pyannote[1756].end 12323.08409375
transcript.pyannote[1757].speaker SPEAKER_18
transcript.pyannote[1757].start 12323.08409375
transcript.pyannote[1757].end 12323.40471875
transcript.pyannote[1758].speaker SPEAKER_18
transcript.pyannote[1758].start 12323.45534375
transcript.pyannote[1758].end 12323.52284375
transcript.pyannote[1759].speaker SPEAKER_18
transcript.pyannote[1759].start 12325.66596875
transcript.pyannote[1759].end 12326.96534375
transcript.pyannote[1760].speaker SPEAKER_38
transcript.pyannote[1760].start 12326.96534375
transcript.pyannote[1760].end 12327.70784375
transcript.pyannote[1761].speaker SPEAKER_18
transcript.pyannote[1761].start 12327.70784375
transcript.pyannote[1761].end 12327.72471875
transcript.pyannote[1762].speaker SPEAKER_14
transcript.pyannote[1762].start 12330.13784375
transcript.pyannote[1762].end 12330.66096875
transcript.pyannote[1763].speaker SPEAKER_14
transcript.pyannote[1763].start 12331.04909375
transcript.pyannote[1763].end 12335.06534375
transcript.pyannote[1764].speaker SPEAKER_14
transcript.pyannote[1764].start 12335.79096875
transcript.pyannote[1764].end 12340.19534375
transcript.pyannote[1765].speaker SPEAKER_14
transcript.pyannote[1765].start 12340.61721875
transcript.pyannote[1765].end 12341.19096875
transcript.pyannote[1766].speaker SPEAKER_14
transcript.pyannote[1766].start 12341.68034375
transcript.pyannote[1766].end 12351.04596875
transcript.pyannote[1767].speaker SPEAKER_14
transcript.pyannote[1767].start 12351.56909375
transcript.pyannote[1767].end 12355.38284375
transcript.pyannote[1768].speaker SPEAKER_14
transcript.pyannote[1768].start 12355.85534375
transcript.pyannote[1768].end 12358.36971875
transcript.pyannote[1769].speaker SPEAKER_14
transcript.pyannote[1769].start 12358.77471875
transcript.pyannote[1769].end 12362.28471875
transcript.pyannote[1770].speaker SPEAKER_14
transcript.pyannote[1770].start 12362.79096875
transcript.pyannote[1770].end 12367.22909375
transcript.pyannote[1771].speaker SPEAKER_14
transcript.pyannote[1771].start 12367.63409375
transcript.pyannote[1771].end 12381.84284375
transcript.pyannote[1772].speaker SPEAKER_14
transcript.pyannote[1772].start 12382.16346875
transcript.pyannote[1772].end 12382.80471875
transcript.pyannote[1773].speaker SPEAKER_14
transcript.pyannote[1773].start 12383.88471875
transcript.pyannote[1773].end 12385.87596875
transcript.pyannote[1774].speaker SPEAKER_14
transcript.pyannote[1774].start 12386.58471875
transcript.pyannote[1774].end 12391.25909375
transcript.pyannote[1775].speaker SPEAKER_14
transcript.pyannote[1775].start 12391.83284375
transcript.pyannote[1775].end 12395.54534375
transcript.pyannote[1776].speaker SPEAKER_14
transcript.pyannote[1776].start 12395.81534375
transcript.pyannote[1776].end 12398.16096875
transcript.pyannote[1777].speaker SPEAKER_14
transcript.pyannote[1777].start 12398.65034375
transcript.pyannote[1777].end 12405.36659375
transcript.pyannote[1778].speaker SPEAKER_14
transcript.pyannote[1778].start 12405.95721875
transcript.pyannote[1778].end 12409.78784375
transcript.pyannote[1779].speaker SPEAKER_14
transcript.pyannote[1779].start 12410.09159375
transcript.pyannote[1779].end 12426.40971875
transcript.pyannote[1780].speaker SPEAKER_29
transcript.pyannote[1780].start 12424.13159375
transcript.pyannote[1780].end 12425.09346875
transcript.pyannote[1781].speaker SPEAKER_14
transcript.pyannote[1781].start 12426.86534375
transcript.pyannote[1781].end 12427.40534375
transcript.pyannote[1782].speaker SPEAKER_14
transcript.pyannote[1782].start 12427.94534375
transcript.pyannote[1782].end 12430.71284375
transcript.pyannote[1783].speaker SPEAKER_14
transcript.pyannote[1783].start 12431.53971875
transcript.pyannote[1783].end 12443.26784375
transcript.pyannote[1784].speaker SPEAKER_14
transcript.pyannote[1784].start 12443.84159375
transcript.pyannote[1784].end 12444.16221875
transcript.pyannote[1785].speaker SPEAKER_14
transcript.pyannote[1785].start 12444.66846875
transcript.pyannote[1785].end 12445.29284375
transcript.pyannote[1786].speaker SPEAKER_14
transcript.pyannote[1786].start 12445.47846875
transcript.pyannote[1786].end 12461.13846875
transcript.pyannote[1787].speaker SPEAKER_14
transcript.pyannote[1787].start 12462.57284375
transcript.pyannote[1787].end 12463.04534375
transcript.pyannote[1788].speaker SPEAKER_14
transcript.pyannote[1788].start 12464.53034375
transcript.pyannote[1788].end 12465.89721875
transcript.pyannote[1789].speaker SPEAKER_14
transcript.pyannote[1789].start 12465.96471875
transcript.pyannote[1789].end 12471.97221875
transcript.pyannote[1790].speaker SPEAKER_18
transcript.pyannote[1790].start 12471.97221875
transcript.pyannote[1790].end 12472.03971875
transcript.pyannote[1791].speaker SPEAKER_18
transcript.pyannote[1791].start 12472.30971875
transcript.pyannote[1791].end 12472.32659375
transcript.pyannote[1792].speaker SPEAKER_14
transcript.pyannote[1792].start 12472.32659375
transcript.pyannote[1792].end 12472.34346875
transcript.pyannote[1793].speaker SPEAKER_18
transcript.pyannote[1793].start 12472.34346875
transcript.pyannote[1793].end 12476.66346875
transcript.pyannote[1794].speaker SPEAKER_14
transcript.pyannote[1794].start 12475.00971875
transcript.pyannote[1794].end 12476.64659375
transcript.pyannote[1795].speaker SPEAKER_14
transcript.pyannote[1795].start 12476.66346875
transcript.pyannote[1795].end 12477.08534375
transcript.pyannote[1796].speaker SPEAKER_18
transcript.pyannote[1796].start 12477.08534375
transcript.pyannote[1796].end 12477.18659375
transcript.pyannote[1797].speaker SPEAKER_14
transcript.pyannote[1797].start 12477.18659375
transcript.pyannote[1797].end 12477.20346875
transcript.pyannote[1798].speaker SPEAKER_18
transcript.pyannote[1798].start 12477.20346875
transcript.pyannote[1798].end 12480.25784375
transcript.pyannote[1799].speaker SPEAKER_14
transcript.pyannote[1799].start 12477.32159375
transcript.pyannote[1799].end 12478.60409375
transcript.pyannote[1800].speaker SPEAKER_14
transcript.pyannote[1800].start 12478.85721875
transcript.pyannote[1800].end 12486.02909375
transcript.pyannote[1801].speaker SPEAKER_14
transcript.pyannote[1801].start 12486.50159375
transcript.pyannote[1801].end 12486.90659375
transcript.pyannote[1802].speaker SPEAKER_14
transcript.pyannote[1802].start 12487.64909375
transcript.pyannote[1802].end 12495.52971875
transcript.pyannote[1803].speaker SPEAKER_18
transcript.pyannote[1803].start 12494.11221875
transcript.pyannote[1803].end 12494.26409375
transcript.pyannote[1804].speaker SPEAKER_18
transcript.pyannote[1804].start 12494.33159375
transcript.pyannote[1804].end 12494.68596875
transcript.pyannote[1805].speaker SPEAKER_14
transcript.pyannote[1805].start 12496.57596875
transcript.pyannote[1805].end 12497.11596875
transcript.pyannote[1806].speaker SPEAKER_14
transcript.pyannote[1806].start 12497.53784375
transcript.pyannote[1806].end 12500.76096875
transcript.pyannote[1807].speaker SPEAKER_18
transcript.pyannote[1807].start 12497.57159375
transcript.pyannote[1807].end 12501.16596875
transcript.pyannote[1808].speaker SPEAKER_14
transcript.pyannote[1808].start 12500.87909375
transcript.pyannote[1808].end 12504.15284375
transcript.pyannote[1809].speaker SPEAKER_18
transcript.pyannote[1809].start 12501.30096875
transcript.pyannote[1809].end 12503.07284375
transcript.pyannote[1810].speaker SPEAKER_14
transcript.pyannote[1810].start 12504.79409375
transcript.pyannote[1810].end 12507.96659375
transcript.pyannote[1811].speaker SPEAKER_14
transcript.pyannote[1811].start 12508.50659375
transcript.pyannote[1811].end 12514.73346875
transcript.pyannote[1812].speaker SPEAKER_14
transcript.pyannote[1812].start 12515.84721875
transcript.pyannote[1812].end 12519.79596875
transcript.pyannote[1813].speaker SPEAKER_14
transcript.pyannote[1813].start 12520.60596875
transcript.pyannote[1813].end 12524.30159375
transcript.pyannote[1814].speaker SPEAKER_14
transcript.pyannote[1814].start 12525.09471875
transcript.pyannote[1814].end 12528.72284375
transcript.pyannote[1815].speaker SPEAKER_14
transcript.pyannote[1815].start 12529.16159375
transcript.pyannote[1815].end 12532.62096875
transcript.pyannote[1816].speaker SPEAKER_14
transcript.pyannote[1816].start 12532.77284375
transcript.pyannote[1816].end 12542.71221875
transcript.pyannote[1817].speaker SPEAKER_18
transcript.pyannote[1817].start 12537.51471875
transcript.pyannote[1817].end 12538.79721875
transcript.pyannote[1818].speaker SPEAKER_14
transcript.pyannote[1818].start 12543.47159375
transcript.pyannote[1818].end 12551.01471875
transcript.pyannote[1819].speaker SPEAKER_14
transcript.pyannote[1819].start 12551.57159375
transcript.pyannote[1819].end 12554.03534375
transcript.pyannote[1820].speaker SPEAKER_14
transcript.pyannote[1820].start 12554.55846875
transcript.pyannote[1820].end 12574.96034375
transcript.pyannote[1821].speaker SPEAKER_14
transcript.pyannote[1821].start 12575.21346875
transcript.pyannote[1821].end 12580.69784375
transcript.pyannote[1822].speaker SPEAKER_14
transcript.pyannote[1822].start 12581.27159375
transcript.pyannote[1822].end 12582.68909375
transcript.pyannote[1823].speaker SPEAKER_14
transcript.pyannote[1823].start 12583.12784375
transcript.pyannote[1823].end 12585.23721875
transcript.pyannote[1824].speaker SPEAKER_14
transcript.pyannote[1824].start 12586.13159375
transcript.pyannote[1824].end 12589.97909375
transcript.pyannote[1825].speaker SPEAKER_14
transcript.pyannote[1825].start 12590.38409375
transcript.pyannote[1825].end 12590.43471875
transcript.pyannote[1826].speaker SPEAKER_18
transcript.pyannote[1826].start 12590.43471875
transcript.pyannote[1826].end 12607.42784375
transcript.pyannote[1827].speaker SPEAKER_14
transcript.pyannote[1827].start 12606.93846875
transcript.pyannote[1827].end 12613.65471875
transcript.pyannote[1828].speaker SPEAKER_18
transcript.pyannote[1828].start 12611.95034375
transcript.pyannote[1828].end 12615.71346875
transcript.pyannote[1829].speaker SPEAKER_14
transcript.pyannote[1829].start 12614.12721875
transcript.pyannote[1829].end 12621.07971875
transcript.pyannote[1830].speaker SPEAKER_18
transcript.pyannote[1830].start 12616.57409375
transcript.pyannote[1830].end 12619.35846875
transcript.pyannote[1831].speaker SPEAKER_18
transcript.pyannote[1831].start 12621.07971875
transcript.pyannote[1831].end 12621.31596875
transcript.pyannote[1832].speaker SPEAKER_14
transcript.pyannote[1832].start 12621.31596875
transcript.pyannote[1832].end 12644.02971875
transcript.pyannote[1833].speaker SPEAKER_18
transcript.pyannote[1833].start 12621.36659375
transcript.pyannote[1833].end 12621.82221875
transcript.pyannote[1834].speaker SPEAKER_18
transcript.pyannote[1834].start 12625.01159375
transcript.pyannote[1834].end 12625.06221875
transcript.pyannote[1835].speaker SPEAKER_18
transcript.pyannote[1835].start 12625.09596875
transcript.pyannote[1835].end 12625.11284375
transcript.pyannote[1836].speaker SPEAKER_18
transcript.pyannote[1836].start 12628.79159375
transcript.pyannote[1836].end 12629.71971875
transcript.pyannote[1837].speaker SPEAKER_18
transcript.pyannote[1837].start 12641.14409375
transcript.pyannote[1837].end 12643.18596875
transcript.pyannote[1838].speaker SPEAKER_18
transcript.pyannote[1838].start 12644.02971875
transcript.pyannote[1838].end 12644.28284375
transcript.pyannote[1839].speaker SPEAKER_14
transcript.pyannote[1839].start 12644.28284375
transcript.pyannote[1839].end 12644.43471875
transcript.pyannote[1840].speaker SPEAKER_18
transcript.pyannote[1840].start 12644.31659375
transcript.pyannote[1840].end 12644.36721875
transcript.pyannote[1841].speaker SPEAKER_18
transcript.pyannote[1841].start 12644.43471875
transcript.pyannote[1841].end 12646.18971875
transcript.pyannote[1842].speaker SPEAKER_14
transcript.pyannote[1842].start 12645.70034375
transcript.pyannote[1842].end 12648.40034375
transcript.pyannote[1843].speaker SPEAKER_14
transcript.pyannote[1843].start 12648.95721875
transcript.pyannote[1843].end 12654.03659375
transcript.pyannote[1844].speaker SPEAKER_18
transcript.pyannote[1844].start 12652.12971875
transcript.pyannote[1844].end 12652.63596875
transcript.pyannote[1845].speaker SPEAKER_18
transcript.pyannote[1845].start 12654.03659375
transcript.pyannote[1845].end 12662.96346875
transcript.pyannote[1846].speaker SPEAKER_14
transcript.pyannote[1846].start 12657.71534375
transcript.pyannote[1846].end 12657.96846875
transcript.pyannote[1847].speaker SPEAKER_24
transcript.pyannote[1847].start 12657.96846875
transcript.pyannote[1847].end 12658.35659375
transcript.pyannote[1848].speaker SPEAKER_14
transcript.pyannote[1848].start 12658.35659375
transcript.pyannote[1848].end 12658.71096875
transcript.pyannote[1849].speaker SPEAKER_14
transcript.pyannote[1849].start 12659.70659375
transcript.pyannote[1849].end 12659.74034375
transcript.pyannote[1850].speaker SPEAKER_24
transcript.pyannote[1850].start 12659.74034375
transcript.pyannote[1850].end 12660.02721875
transcript.pyannote[1851].speaker SPEAKER_14
transcript.pyannote[1851].start 12660.02721875
transcript.pyannote[1851].end 12660.06096875
transcript.pyannote[1852].speaker SPEAKER_24
transcript.pyannote[1852].start 12660.06096875
transcript.pyannote[1852].end 12660.21284375
transcript.pyannote[1853].speaker SPEAKER_14
transcript.pyannote[1853].start 12660.21284375
transcript.pyannote[1853].end 12660.63471875
transcript.pyannote[1854].speaker SPEAKER_24
transcript.pyannote[1854].start 12660.63471875
transcript.pyannote[1854].end 12660.66846875
transcript.pyannote[1855].speaker SPEAKER_14
transcript.pyannote[1855].start 12660.66846875
transcript.pyannote[1855].end 12661.54596875
transcript.pyannote[1856].speaker SPEAKER_14
transcript.pyannote[1856].start 12662.96346875
transcript.pyannote[1856].end 12666.62534375
transcript.pyannote[1857].speaker SPEAKER_14
transcript.pyannote[1857].start 12666.99659375
transcript.pyannote[1857].end 12668.00909375
transcript.pyannote[1858].speaker SPEAKER_14
transcript.pyannote[1858].start 12669.35909375
transcript.pyannote[1858].end 12672.29534375
transcript.pyannote[1859].speaker SPEAKER_14
transcript.pyannote[1859].start 12672.53159375
transcript.pyannote[1859].end 12675.01221875
transcript.pyannote[1860].speaker SPEAKER_18
transcript.pyannote[1860].start 12675.01221875
transcript.pyannote[1860].end 12675.09659375
transcript.pyannote[1861].speaker SPEAKER_14
transcript.pyannote[1861].start 12675.60284375
transcript.pyannote[1861].end 12675.61971875
transcript.pyannote[1862].speaker SPEAKER_18
transcript.pyannote[1862].start 12675.61971875
transcript.pyannote[1862].end 12678.48846875
transcript.pyannote[1863].speaker SPEAKER_14
transcript.pyannote[1863].start 12677.72909375
transcript.pyannote[1863].end 12683.07846875
transcript.pyannote[1864].speaker SPEAKER_18
transcript.pyannote[1864].start 12679.02846875
transcript.pyannote[1864].end 12681.12096875
transcript.pyannote[1865].speaker SPEAKER_14
transcript.pyannote[1865].start 12683.55096875
transcript.pyannote[1865].end 12685.32284375
transcript.pyannote[1866].speaker SPEAKER_14
transcript.pyannote[1866].start 12686.28471875
transcript.pyannote[1866].end 12713.03159375
transcript.pyannote[1867].speaker SPEAKER_07
transcript.pyannote[1867].start 12687.12846875
transcript.pyannote[1867].end 12688.96784375
transcript.pyannote[1868].speaker SPEAKER_30
transcript.pyannote[1868].start 12688.96784375
transcript.pyannote[1868].end 12689.69346875
transcript.pyannote[1869].speaker SPEAKER_30
transcript.pyannote[1869].start 12690.99284375
transcript.pyannote[1869].end 12691.02659375
transcript.pyannote[1870].speaker SPEAKER_21
transcript.pyannote[1870].start 12691.02659375
transcript.pyannote[1870].end 12692.03909375
transcript.pyannote[1871].speaker SPEAKER_15
transcript.pyannote[1871].start 12692.03909375
transcript.pyannote[1871].end 12692.41034375
transcript.pyannote[1872].speaker SPEAKER_21
transcript.pyannote[1872].start 12692.41034375
transcript.pyannote[1872].end 12692.47784375
transcript.pyannote[1873].speaker SPEAKER_15
transcript.pyannote[1873].start 12694.72221875
transcript.pyannote[1873].end 12695.09346875
transcript.pyannote[1874].speaker SPEAKER_15
transcript.pyannote[1874].start 12696.67971875
transcript.pyannote[1874].end 12697.03409375
transcript.pyannote[1875].speaker SPEAKER_24
transcript.pyannote[1875].start 12697.03409375
transcript.pyannote[1875].end 12698.24909375
transcript.pyannote[1876].speaker SPEAKER_15
transcript.pyannote[1876].start 12698.24909375
transcript.pyannote[1876].end 12698.26596875
transcript.pyannote[1877].speaker SPEAKER_24
transcript.pyannote[1877].start 12701.89409375
transcript.pyannote[1877].end 12703.12596875
transcript.pyannote[1878].speaker SPEAKER_18
transcript.pyannote[1878].start 12710.14596875
transcript.pyannote[1878].end 12711.10784375
transcript.pyannote[1879].speaker SPEAKER_18
transcript.pyannote[1879].start 12713.03159375
transcript.pyannote[1879].end 12718.48221875
transcript.pyannote[1880].speaker SPEAKER_14
transcript.pyannote[1880].start 12716.84534375
transcript.pyannote[1880].end 12717.85784375
transcript.pyannote[1881].speaker SPEAKER_14
transcript.pyannote[1881].start 12718.48221875
transcript.pyannote[1881].end 12718.53284375
transcript.pyannote[1882].speaker SPEAKER_18
transcript.pyannote[1882].start 12718.53284375
transcript.pyannote[1882].end 12718.54971875
transcript.pyannote[1883].speaker SPEAKER_14
transcript.pyannote[1883].start 12718.54971875
transcript.pyannote[1883].end 12718.56659375
transcript.pyannote[1884].speaker SPEAKER_18
transcript.pyannote[1884].start 12718.56659375
transcript.pyannote[1884].end 12718.58346875
transcript.pyannote[1885].speaker SPEAKER_14
transcript.pyannote[1885].start 12718.58346875
transcript.pyannote[1885].end 12718.66784375
transcript.pyannote[1886].speaker SPEAKER_18
transcript.pyannote[1886].start 12718.66784375
transcript.pyannote[1886].end 12718.97159375
transcript.pyannote[1887].speaker SPEAKER_14
transcript.pyannote[1887].start 12718.97159375
transcript.pyannote[1887].end 12719.12346875
transcript.pyannote[1888].speaker SPEAKER_18
transcript.pyannote[1888].start 12719.12346875
transcript.pyannote[1888].end 12722.66721875
transcript.pyannote[1889].speaker SPEAKER_14
transcript.pyannote[1889].start 12719.15721875
transcript.pyannote[1889].end 12723.03846875
transcript.pyannote[1890].speaker SPEAKER_18
transcript.pyannote[1890].start 12723.03846875
transcript.pyannote[1890].end 12723.27471875
transcript.pyannote[1891].speaker SPEAKER_14
transcript.pyannote[1891].start 12723.27471875
transcript.pyannote[1891].end 12723.29159375
transcript.pyannote[1892].speaker SPEAKER_18
transcript.pyannote[1892].start 12723.29159375
transcript.pyannote[1892].end 12723.32534375
transcript.pyannote[1893].speaker SPEAKER_14
transcript.pyannote[1893].start 12723.32534375
transcript.pyannote[1893].end 12723.46034375
transcript.pyannote[1894].speaker SPEAKER_18
transcript.pyannote[1894].start 12723.46034375
transcript.pyannote[1894].end 12723.51096875
transcript.pyannote[1895].speaker SPEAKER_14
transcript.pyannote[1895].start 12723.51096875
transcript.pyannote[1895].end 12723.86534375
transcript.pyannote[1896].speaker SPEAKER_18
transcript.pyannote[1896].start 12723.86534375
transcript.pyannote[1896].end 12726.88596875
transcript.pyannote[1897].speaker SPEAKER_14
transcript.pyannote[1897].start 12726.34596875
transcript.pyannote[1897].end 12726.48096875
transcript.pyannote[1898].speaker SPEAKER_18
transcript.pyannote[1898].start 12727.66221875
transcript.pyannote[1898].end 12730.24409375
transcript.pyannote[1899].speaker SPEAKER_14
transcript.pyannote[1899].start 12727.69596875
transcript.pyannote[1899].end 12729.58596875
transcript.pyannote[1900].speaker SPEAKER_14
transcript.pyannote[1900].start 12730.24409375
transcript.pyannote[1900].end 12734.37846875
transcript.pyannote[1901].speaker SPEAKER_14
transcript.pyannote[1901].start 12734.76659375
transcript.pyannote[1901].end 12735.84659375
transcript.pyannote[1902].speaker SPEAKER_14
transcript.pyannote[1902].start 12736.15034375
transcript.pyannote[1902].end 12741.92159375
transcript.pyannote[1903].speaker SPEAKER_14
transcript.pyannote[1903].start 12742.07346875
transcript.pyannote[1903].end 12747.77721875
transcript.pyannote[1904].speaker SPEAKER_14
transcript.pyannote[1904].start 12748.18221875
transcript.pyannote[1904].end 12751.54034375
transcript.pyannote[1905].speaker SPEAKER_14
transcript.pyannote[1905].start 12751.99596875
transcript.pyannote[1905].end 12759.74159375
transcript.pyannote[1906].speaker SPEAKER_14
transcript.pyannote[1906].start 12760.36596875
transcript.pyannote[1906].end 12762.59346875
transcript.pyannote[1907].speaker SPEAKER_14
transcript.pyannote[1907].start 12763.26846875
transcript.pyannote[1907].end 12764.41596875
transcript.pyannote[1908].speaker SPEAKER_14
transcript.pyannote[1908].start 12764.88846875
transcript.pyannote[1908].end 12774.08534375
transcript.pyannote[1909].speaker SPEAKER_14
transcript.pyannote[1909].start 12774.59159375
transcript.pyannote[1909].end 12775.58721875
transcript.pyannote[1910].speaker SPEAKER_14
transcript.pyannote[1910].start 12776.29596875
transcript.pyannote[1910].end 12782.05034375
transcript.pyannote[1911].speaker SPEAKER_14
transcript.pyannote[1911].start 12782.67471875
transcript.pyannote[1911].end 12803.54909375
transcript.pyannote[1912].speaker SPEAKER_18
transcript.pyannote[1912].start 12796.93409375
transcript.pyannote[1912].end 12800.98409375
transcript.pyannote[1913].speaker SPEAKER_14
transcript.pyannote[1913].start 12803.68409375
transcript.pyannote[1913].end 12807.36284375
transcript.pyannote[1914].speaker SPEAKER_10
transcript.pyannote[1914].start 12808.96596875
transcript.pyannote[1914].end 12812.81346875
transcript.pyannote[1915].speaker SPEAKER_10
transcript.pyannote[1915].start 12818.95596875
transcript.pyannote[1915].end 12819.04034375
transcript.pyannote[1916].speaker SPEAKER_10
transcript.pyannote[1916].start 12819.41159375
transcript.pyannote[1916].end 12821.25096875
transcript.pyannote[1917].speaker SPEAKER_10
transcript.pyannote[1917].start 12821.60534375
transcript.pyannote[1917].end 12823.59659375
transcript.pyannote[1918].speaker SPEAKER_10
transcript.pyannote[1918].start 12824.59221875
transcript.pyannote[1918].end 12826.90409375
transcript.pyannote[1919].speaker SPEAKER_10
transcript.pyannote[1919].start 12827.34284375
transcript.pyannote[1919].end 12829.13159375
transcript.pyannote[1920].speaker SPEAKER_10
transcript.pyannote[1920].start 12830.54909375
transcript.pyannote[1920].end 12837.67034375
transcript.pyannote[1921].speaker SPEAKER_11
transcript.pyannote[1921].start 12849.34784375
transcript.pyannote[1921].end 12850.96784375
transcript.pyannote[1922].speaker SPEAKER_14
transcript.pyannote[1922].start 12851.08596875
transcript.pyannote[1922].end 12852.41909375
transcript.pyannote[1923].speaker SPEAKER_18
transcript.pyannote[1923].start 12857.00909375
transcript.pyannote[1923].end 12857.86971875
transcript.pyannote[1924].speaker SPEAKER_11
transcript.pyannote[1924].start 12858.02159375
transcript.pyannote[1924].end 12863.42159375
transcript.pyannote[1925].speaker SPEAKER_18
transcript.pyannote[1925].start 12864.23159375
transcript.pyannote[1925].end 12867.28596875
transcript.pyannote[1926].speaker SPEAKER_18
transcript.pyannote[1926].start 12867.48846875
transcript.pyannote[1926].end 12867.84284375
transcript.pyannote[1927].speaker SPEAKER_11
transcript.pyannote[1927].start 12867.89346875
transcript.pyannote[1927].end 12870.40784375
transcript.pyannote[1928].speaker SPEAKER_18
transcript.pyannote[1928].start 12870.40784375
transcript.pyannote[1928].end 12872.65221875
transcript.pyannote[1929].speaker SPEAKER_11
transcript.pyannote[1929].start 12872.11221875
transcript.pyannote[1929].end 12874.71096875
transcript.pyannote[1930].speaker SPEAKER_18
transcript.pyannote[1930].start 12872.71971875
transcript.pyannote[1930].end 12872.85471875
transcript.pyannote[1931].speaker SPEAKER_18
transcript.pyannote[1931].start 12874.52534375
transcript.pyannote[1931].end 12875.67284375
transcript.pyannote[1932].speaker SPEAKER_11
transcript.pyannote[1932].start 12875.35221875
transcript.pyannote[1932].end 12890.67471875
transcript.pyannote[1933].speaker SPEAKER_18
transcript.pyannote[1933].start 12876.41534375
transcript.pyannote[1933].end 12876.85409375
transcript.pyannote[1934].speaker SPEAKER_07
transcript.pyannote[1934].start 12884.00909375
transcript.pyannote[1934].end 12884.97096875
transcript.pyannote[1935].speaker SPEAKER_00
transcript.pyannote[1935].start 12884.97096875
transcript.pyannote[1935].end 12885.00471875
transcript.pyannote[1936].speaker SPEAKER_11
transcript.pyannote[1936].start 12891.13034375
transcript.pyannote[1936].end 12892.91909375
transcript.pyannote[1937].speaker SPEAKER_11
transcript.pyannote[1937].start 12893.34096875
transcript.pyannote[1937].end 12895.28159375
transcript.pyannote[1938].speaker SPEAKER_11
transcript.pyannote[1938].start 12895.78784375
transcript.pyannote[1938].end 12899.56784375
transcript.pyannote[1939].speaker SPEAKER_11
transcript.pyannote[1939].start 12899.87159375
transcript.pyannote[1939].end 12901.15409375
transcript.pyannote[1940].speaker SPEAKER_11
transcript.pyannote[1940].start 12901.52534375
transcript.pyannote[1940].end 12905.35596875
transcript.pyannote[1941].speaker SPEAKER_11
transcript.pyannote[1941].start 12905.71034375
transcript.pyannote[1941].end 12907.68471875
transcript.pyannote[1942].speaker SPEAKER_11
transcript.pyannote[1942].start 12907.93784375
transcript.pyannote[1942].end 12916.29096875
transcript.pyannote[1943].speaker SPEAKER_11
transcript.pyannote[1943].start 12916.74659375
transcript.pyannote[1943].end 12917.52284375
transcript.pyannote[1944].speaker SPEAKER_11
transcript.pyannote[1944].start 12918.02909375
transcript.pyannote[1944].end 12920.99909375
transcript.pyannote[1945].speaker SPEAKER_11
transcript.pyannote[1945].start 12921.43784375
transcript.pyannote[1945].end 12922.77096875
transcript.pyannote[1946].speaker SPEAKER_11
transcript.pyannote[1946].start 12923.39534375
transcript.pyannote[1946].end 12937.19909375
transcript.pyannote[1947].speaker SPEAKER_11
transcript.pyannote[1947].start 12937.35096875
transcript.pyannote[1947].end 12941.29971875
transcript.pyannote[1948].speaker SPEAKER_11
transcript.pyannote[1948].start 12941.58659375
transcript.pyannote[1948].end 12944.52284375
transcript.pyannote[1949].speaker SPEAKER_11
transcript.pyannote[1949].start 12944.96159375
transcript.pyannote[1949].end 12955.22159375
transcript.pyannote[1950].speaker SPEAKER_11
transcript.pyannote[1950].start 12955.86284375
transcript.pyannote[1950].end 12956.72346875
transcript.pyannote[1951].speaker SPEAKER_18
transcript.pyannote[1951].start 12956.06534375
transcript.pyannote[1951].end 12956.09909375
transcript.pyannote[1952].speaker SPEAKER_18
transcript.pyannote[1952].start 12956.18346875
transcript.pyannote[1952].end 12956.35221875
transcript.pyannote[1953].speaker SPEAKER_18
transcript.pyannote[1953].start 12957.02721875
transcript.pyannote[1953].end 12987.79034375
transcript.pyannote[1954].speaker SPEAKER_11
transcript.pyannote[1954].start 12987.23346875
transcript.pyannote[1954].end 12991.24971875
transcript.pyannote[1955].speaker SPEAKER_18
transcript.pyannote[1955].start 12991.24971875
transcript.pyannote[1955].end 12991.36784375
transcript.pyannote[1956].speaker SPEAKER_11
transcript.pyannote[1956].start 12991.36784375
transcript.pyannote[1956].end 12991.40159375
transcript.pyannote[1957].speaker SPEAKER_11
transcript.pyannote[1957].start 12991.51971875
transcript.pyannote[1957].end 12997.15596875
transcript.pyannote[1958].speaker SPEAKER_11
transcript.pyannote[1958].start 12997.20659375
transcript.pyannote[1958].end 13013.77784375
transcript.pyannote[1959].speaker SPEAKER_26
transcript.pyannote[1959].start 12997.88159375
transcript.pyannote[1959].end 12998.23596875
transcript.pyannote[1960].speaker SPEAKER_39
transcript.pyannote[1960].start 12998.23596875
transcript.pyannote[1960].end 12998.72534375
transcript.pyannote[1961].speaker SPEAKER_11
transcript.pyannote[1961].start 13013.92971875
transcript.pyannote[1961].end 13016.41034375
transcript.pyannote[1962].speaker SPEAKER_11
transcript.pyannote[1962].start 13016.56221875
transcript.pyannote[1962].end 13030.46721875
transcript.pyannote[1963].speaker SPEAKER_11
transcript.pyannote[1963].start 13030.82159375
transcript.pyannote[1963].end 13034.02784375
transcript.pyannote[1964].speaker SPEAKER_11
transcript.pyannote[1964].start 13034.29784375
transcript.pyannote[1964].end 13035.25971875
transcript.pyannote[1965].speaker SPEAKER_18
transcript.pyannote[1965].start 13035.59721875
transcript.pyannote[1965].end 13035.76596875
transcript.pyannote[1966].speaker SPEAKER_18
transcript.pyannote[1966].start 13036.20471875
transcript.pyannote[1966].end 13038.19596875
transcript.pyannote[1967].speaker SPEAKER_11
transcript.pyannote[1967].start 13038.34784375
transcript.pyannote[1967].end 13039.32659375
transcript.pyannote[1968].speaker SPEAKER_18
transcript.pyannote[1968].start 13039.51221875
transcript.pyannote[1968].end 13042.24596875
transcript.pyannote[1969].speaker SPEAKER_11
transcript.pyannote[1969].start 13041.01409375
transcript.pyannote[1969].end 13048.50659375
transcript.pyannote[1970].speaker SPEAKER_18
transcript.pyannote[1970].start 13045.63784375
transcript.pyannote[1970].end 13055.77971875
transcript.pyannote[1971].speaker SPEAKER_11
transcript.pyannote[1971].start 13054.63221875
transcript.pyannote[1971].end 13058.46284375
transcript.pyannote[1972].speaker SPEAKER_18
transcript.pyannote[1972].start 13058.46284375
transcript.pyannote[1972].end 13069.65096875
transcript.pyannote[1973].speaker SPEAKER_30
transcript.pyannote[1973].start 13068.84096875
transcript.pyannote[1973].end 13069.73534375
transcript.pyannote[1974].speaker SPEAKER_18
transcript.pyannote[1974].start 13070.25846875
transcript.pyannote[1974].end 13076.02971875
transcript.pyannote[1975].speaker SPEAKER_11
transcript.pyannote[1975].start 13075.10159375
transcript.pyannote[1975].end 13076.38409375
transcript.pyannote[1976].speaker SPEAKER_18
transcript.pyannote[1976].start 13076.16471875
transcript.pyannote[1976].end 13077.97034375
transcript.pyannote[1977].speaker SPEAKER_11
transcript.pyannote[1977].start 13077.56534375
transcript.pyannote[1977].end 13079.28659375
transcript.pyannote[1978].speaker SPEAKER_11
transcript.pyannote[1978].start 13079.72534375
transcript.pyannote[1978].end 13100.53221875
transcript.pyannote[1979].speaker SPEAKER_18
transcript.pyannote[1979].start 13101.13971875
transcript.pyannote[1979].end 13113.94784375
transcript.pyannote[1980].speaker SPEAKER_11
transcript.pyannote[1980].start 13110.18471875
transcript.pyannote[1980].end 13110.21846875
transcript.pyannote[1981].speaker SPEAKER_11
transcript.pyannote[1981].start 13112.02409375
transcript.pyannote[1981].end 13119.85409375
transcript.pyannote[1982].speaker SPEAKER_18
transcript.pyannote[1982].start 13115.70284375
transcript.pyannote[1982].end 13118.58846875
transcript.pyannote[1983].speaker SPEAKER_18
transcript.pyannote[1983].start 13118.84159375
transcript.pyannote[1983].end 13118.97659375
transcript.pyannote[1984].speaker SPEAKER_18
transcript.pyannote[1984].start 13119.85409375
transcript.pyannote[1984].end 13121.98034375
transcript.pyannote[1985].speaker SPEAKER_11
transcript.pyannote[1985].start 13120.69784375
transcript.pyannote[1985].end 13122.46971875
transcript.pyannote[1986].speaker SPEAKER_18
transcript.pyannote[1986].start 13122.46971875
transcript.pyannote[1986].end 13123.04346875
transcript.pyannote[1987].speaker SPEAKER_11
transcript.pyannote[1987].start 13122.57096875
transcript.pyannote[1987].end 13122.73971875
transcript.pyannote[1988].speaker SPEAKER_11
transcript.pyannote[1988].start 13123.04346875
transcript.pyannote[1988].end 13123.09409375
transcript.pyannote[1989].speaker SPEAKER_18
transcript.pyannote[1989].start 13123.09409375
transcript.pyannote[1989].end 13123.17846875
transcript.pyannote[1990].speaker SPEAKER_11
transcript.pyannote[1990].start 13123.17846875
transcript.pyannote[1990].end 13123.27971875
transcript.pyannote[1991].speaker SPEAKER_18
transcript.pyannote[1991].start 13123.27971875
transcript.pyannote[1991].end 13124.32596875
transcript.pyannote[1992].speaker SPEAKER_11
transcript.pyannote[1992].start 13123.87034375
transcript.pyannote[1992].end 13124.37659375
transcript.pyannote[1993].speaker SPEAKER_18
transcript.pyannote[1993].start 13124.37659375
transcript.pyannote[1993].end 13124.96721875
transcript.pyannote[1994].speaker SPEAKER_11
transcript.pyannote[1994].start 13124.96721875
transcript.pyannote[1994].end 13125.03471875
transcript.pyannote[1995].speaker SPEAKER_18
transcript.pyannote[1995].start 13125.03471875
transcript.pyannote[1995].end 13126.55346875
transcript.pyannote[1996].speaker SPEAKER_11
transcript.pyannote[1996].start 13125.11909375
transcript.pyannote[1996].end 13126.60409375
transcript.pyannote[1997].speaker SPEAKER_18
transcript.pyannote[1997].start 13126.60409375
transcript.pyannote[1997].end 13126.75596875
transcript.pyannote[1998].speaker SPEAKER_18
transcript.pyannote[1998].start 13126.85721875
transcript.pyannote[1998].end 13127.26221875
transcript.pyannote[1999].speaker SPEAKER_18
transcript.pyannote[1999].start 13127.43096875
transcript.pyannote[1999].end 13127.76846875
transcript.pyannote[2000].speaker SPEAKER_18
transcript.pyannote[2000].start 13128.64596875
transcript.pyannote[2000].end 13129.43909375
transcript.pyannote[2001].speaker SPEAKER_18
transcript.pyannote[2001].start 13129.81034375
transcript.pyannote[2001].end 13130.92409375
transcript.pyannote[2002].speaker SPEAKER_18
transcript.pyannote[2002].start 13131.95346875
transcript.pyannote[2002].end 13133.52284375
transcript.pyannote[2003].speaker SPEAKER_18
transcript.pyannote[2003].start 13134.85596875
transcript.pyannote[2003].end 13136.23971875
transcript.pyannote[2004].speaker SPEAKER_11
transcript.pyannote[2004].start 13137.21846875
transcript.pyannote[2004].end 13140.47534375
transcript.pyannote[2005].speaker SPEAKER_18
transcript.pyannote[2005].start 13140.47534375
transcript.pyannote[2005].end 13142.04471875
transcript.pyannote[2006].speaker SPEAKER_11
transcript.pyannote[2006].start 13142.68596875
transcript.pyannote[2006].end 13162.91909375
transcript.pyannote[2007].speaker SPEAKER_18
transcript.pyannote[2007].start 13142.88846875
transcript.pyannote[2007].end 13144.89659375
transcript.pyannote[2008].speaker SPEAKER_18
transcript.pyannote[2008].start 13162.26096875
transcript.pyannote[2008].end 13162.75034375
transcript.pyannote[2009].speaker SPEAKER_18
transcript.pyannote[2009].start 13162.91909375
transcript.pyannote[2009].end 13163.17221875
transcript.pyannote[2010].speaker SPEAKER_11
transcript.pyannote[2010].start 13163.17221875
transcript.pyannote[2010].end 13164.35346875
transcript.pyannote[2011].speaker SPEAKER_18
transcript.pyannote[2011].start 13163.20596875
transcript.pyannote[2011].end 13170.73221875
transcript.pyannote[2012].speaker SPEAKER_11
transcript.pyannote[2012].start 13169.83784375
transcript.pyannote[2012].end 13174.79909375
transcript.pyannote[2013].speaker SPEAKER_18
transcript.pyannote[2013].start 13171.77846875
transcript.pyannote[2013].end 13174.30971875
transcript.pyannote[2014].speaker SPEAKER_11
transcript.pyannote[2014].start 13175.25471875
transcript.pyannote[2014].end 13190.84721875
transcript.pyannote[2015].speaker SPEAKER_29
transcript.pyannote[2015].start 13178.91659375
transcript.pyannote[2015].end 13180.67159375
transcript.pyannote[2016].speaker SPEAKER_18
transcript.pyannote[2016].start 13190.84721875
transcript.pyannote[2016].end 13197.59721875
transcript.pyannote[2017].speaker SPEAKER_11
transcript.pyannote[2017].start 13197.59721875
transcript.pyannote[2017].end 13202.96346875
transcript.pyannote[2018].speaker SPEAKER_18
transcript.pyannote[2018].start 13197.61409375
transcript.pyannote[2018].end 13198.91346875
transcript.pyannote[2019].speaker SPEAKER_11
transcript.pyannote[2019].start 13203.19971875
transcript.pyannote[2019].end 13203.92534375
transcript.pyannote[2020].speaker SPEAKER_11
transcript.pyannote[2020].start 13204.38096875
transcript.pyannote[2020].end 13233.79409375
transcript.pyannote[2021].speaker SPEAKER_00
transcript.pyannote[2021].start 13219.90596875
transcript.pyannote[2021].end 13221.25596875
transcript.pyannote[2022].speaker SPEAKER_18
transcript.pyannote[2022].start 13233.89534375
transcript.pyannote[2022].end 13236.44346875
transcript.pyannote[2023].speaker SPEAKER_18
transcript.pyannote[2023].start 13236.93284375
transcript.pyannote[2023].end 13238.43471875
transcript.pyannote[2024].speaker SPEAKER_18
transcript.pyannote[2024].start 13238.94096875
transcript.pyannote[2024].end 13241.82659375
transcript.pyannote[2025].speaker SPEAKER_18
transcript.pyannote[2025].start 13242.31596875
transcript.pyannote[2025].end 13244.66159375
transcript.pyannote[2026].speaker SPEAKER_18
transcript.pyannote[2026].start 13244.96534375
transcript.pyannote[2026].end 13249.53846875
transcript.pyannote[2027].speaker SPEAKER_11
transcript.pyannote[2027].start 13247.63159375
transcript.pyannote[2027].end 13251.51284375
transcript.pyannote[2028].speaker SPEAKER_18
transcript.pyannote[2028].start 13251.02346875
transcript.pyannote[2028].end 13252.64346875
transcript.pyannote[2029].speaker SPEAKER_11
transcript.pyannote[2029].start 13252.30596875
transcript.pyannote[2029].end 13258.78596875
transcript.pyannote[2030].speaker SPEAKER_18
transcript.pyannote[2030].start 13252.69409375
transcript.pyannote[2030].end 13253.08221875
transcript.pyannote[2031].speaker SPEAKER_18
transcript.pyannote[2031].start 13253.09909375
transcript.pyannote[2031].end 13253.13284375
transcript.pyannote[2032].speaker SPEAKER_18
transcript.pyannote[2032].start 13254.73596875
transcript.pyannote[2032].end 13254.97221875
transcript.pyannote[2033].speaker SPEAKER_18
transcript.pyannote[2033].start 13258.78596875
transcript.pyannote[2033].end 13262.16096875
transcript.pyannote[2034].speaker SPEAKER_11
transcript.pyannote[2034].start 13260.52409375
transcript.pyannote[2034].end 13285.22909375
transcript.pyannote[2035].speaker SPEAKER_29
transcript.pyannote[2035].start 13271.52659375
transcript.pyannote[2035].end 13272.97784375
transcript.pyannote[2036].speaker SPEAKER_07
transcript.pyannote[2036].start 13272.97784375
transcript.pyannote[2036].end 13273.36596875
transcript.pyannote[2037].speaker SPEAKER_29
transcript.pyannote[2037].start 13273.36596875
transcript.pyannote[2037].end 13273.41659375
transcript.pyannote[2038].speaker SPEAKER_07
transcript.pyannote[2038].start 13273.41659375
transcript.pyannote[2038].end 13274.00721875
transcript.pyannote[2039].speaker SPEAKER_30
transcript.pyannote[2039].start 13274.00721875
transcript.pyannote[2039].end 13274.51346875
transcript.pyannote[2040].speaker SPEAKER_07
transcript.pyannote[2040].start 13274.51346875
transcript.pyannote[2040].end 13275.01971875
transcript.pyannote[2041].speaker SPEAKER_07
transcript.pyannote[2041].start 13275.10409375
transcript.pyannote[2041].end 13275.20534375
transcript.pyannote[2042].speaker SPEAKER_07
transcript.pyannote[2042].start 13275.34034375
transcript.pyannote[2042].end 13275.59346875
transcript.pyannote[2043].speaker SPEAKER_18
transcript.pyannote[2043].start 13285.22909375
transcript.pyannote[2043].end 13289.93721875
transcript.pyannote[2044].speaker SPEAKER_11
transcript.pyannote[2044].start 13285.60034375
transcript.pyannote[2044].end 13286.10659375
transcript.pyannote[2045].speaker SPEAKER_11
transcript.pyannote[2045].start 13287.45659375
transcript.pyannote[2045].end 13288.06409375
transcript.pyannote[2046].speaker SPEAKER_11
transcript.pyannote[2046].start 13289.46471875
transcript.pyannote[2046].end 13302.84659375
transcript.pyannote[2047].speaker SPEAKER_18
transcript.pyannote[2047].start 13290.57846875
transcript.pyannote[2047].end 13292.24909375
transcript.pyannote[2048].speaker SPEAKER_17
transcript.pyannote[2048].start 13302.84659375
transcript.pyannote[2048].end 13303.16721875
transcript.pyannote[2049].speaker SPEAKER_11
transcript.pyannote[2049].start 13303.16721875
transcript.pyannote[2049].end 13310.89596875
transcript.pyannote[2050].speaker SPEAKER_18
transcript.pyannote[2050].start 13310.89596875
transcript.pyannote[2050].end 13312.36409375
transcript.pyannote[2051].speaker SPEAKER_18
transcript.pyannote[2051].start 13312.49909375
transcript.pyannote[2051].end 13316.92034375
transcript.pyannote[2052].speaker SPEAKER_18
transcript.pyannote[2052].start 13317.39284375
transcript.pyannote[2052].end 13322.01659375
transcript.pyannote[2053].speaker SPEAKER_11
transcript.pyannote[2053].start 13318.99596875
transcript.pyannote[2053].end 13331.95596875
transcript.pyannote[2054].speaker SPEAKER_30
transcript.pyannote[2054].start 13330.04909375
transcript.pyannote[2054].end 13331.90534375
transcript.pyannote[2055].speaker SPEAKER_30
transcript.pyannote[2055].start 13331.95596875
transcript.pyannote[2055].end 13331.97284375
transcript.pyannote[2056].speaker SPEAKER_18
transcript.pyannote[2056].start 13331.97284375
transcript.pyannote[2056].end 13332.05721875
transcript.pyannote[2057].speaker SPEAKER_11
transcript.pyannote[2057].start 13332.05721875
transcript.pyannote[2057].end 13343.38034375
transcript.pyannote[2058].speaker SPEAKER_18
transcript.pyannote[2058].start 13332.17534375
transcript.pyannote[2058].end 13332.96846875
transcript.pyannote[2059].speaker SPEAKER_30
transcript.pyannote[2059].start 13332.96846875
transcript.pyannote[2059].end 13333.00221875
transcript.pyannote[2060].speaker SPEAKER_21
transcript.pyannote[2060].start 13343.26221875
transcript.pyannote[2060].end 13345.42221875
transcript.pyannote[2061].speaker SPEAKER_11
transcript.pyannote[2061].start 13343.95409375
transcript.pyannote[2061].end 13361.87534375
transcript.pyannote[2062].speaker SPEAKER_26
transcript.pyannote[2062].start 13345.42221875
transcript.pyannote[2062].end 13345.50659375
transcript.pyannote[2063].speaker SPEAKER_21
transcript.pyannote[2063].start 13345.50659375
transcript.pyannote[2063].end 13345.52346875
transcript.pyannote[2064].speaker SPEAKER_26
transcript.pyannote[2064].start 13345.52346875
transcript.pyannote[2064].end 13345.55721875
transcript.pyannote[2065].speaker SPEAKER_07
transcript.pyannote[2065].start 13361.87534375
transcript.pyannote[2065].end 13364.03534375
transcript.pyannote[2066].speaker SPEAKER_11
transcript.pyannote[2066].start 13362.31409375
transcript.pyannote[2066].end 13362.46596875
transcript.pyannote[2067].speaker SPEAKER_18
transcript.pyannote[2067].start 13364.03534375
transcript.pyannote[2067].end 13366.56659375
transcript.pyannote[2068].speaker SPEAKER_11
transcript.pyannote[2068].start 13364.45721875
transcript.pyannote[2068].end 13369.53659375
transcript.pyannote[2069].speaker SPEAKER_18
transcript.pyannote[2069].start 13368.86159375
transcript.pyannote[2069].end 13369.50284375
transcript.pyannote[2070].speaker SPEAKER_18
transcript.pyannote[2070].start 13369.53659375
transcript.pyannote[2070].end 13369.97534375
transcript.pyannote[2071].speaker SPEAKER_11
transcript.pyannote[2071].start 13369.97534375
transcript.pyannote[2071].end 13373.80596875
transcript.pyannote[2072].speaker SPEAKER_18
transcript.pyannote[2072].start 13370.00909375
transcript.pyannote[2072].end 13370.24534375
transcript.pyannote[2073].speaker SPEAKER_18
transcript.pyannote[2073].start 13373.80596875
transcript.pyannote[2073].end 13376.91096875
transcript.pyannote[2074].speaker SPEAKER_11
transcript.pyannote[2074].start 13374.17721875
transcript.pyannote[2074].end 13392.67221875
transcript.pyannote[2075].speaker SPEAKER_30
transcript.pyannote[2075].start 13376.91096875
transcript.pyannote[2075].end 13376.92784375
transcript.pyannote[2076].speaker SPEAKER_18
transcript.pyannote[2076].start 13377.43409375
transcript.pyannote[2076].end 13380.20159375
transcript.pyannote[2077].speaker SPEAKER_30
transcript.pyannote[2077].start 13386.85034375
transcript.pyannote[2077].end 13387.01909375
transcript.pyannote[2078].speaker SPEAKER_29
transcript.pyannote[2078].start 13387.01909375
transcript.pyannote[2078].end 13387.81221875
transcript.pyannote[2079].speaker SPEAKER_29
transcript.pyannote[2079].start 13388.18346875
transcript.pyannote[2079].end 13389.24659375
transcript.pyannote[2080].speaker SPEAKER_30
transcript.pyannote[2080].start 13392.67221875
transcript.pyannote[2080].end 13393.83659375
transcript.pyannote[2081].speaker SPEAKER_11
transcript.pyannote[2081].start 13392.92534375
transcript.pyannote[2081].end 13411.04909375
transcript.pyannote[2082].speaker SPEAKER_30
transcript.pyannote[2082].start 13411.33596875
transcript.pyannote[2082].end 13412.28096875
transcript.pyannote[2083].speaker SPEAKER_11
transcript.pyannote[2083].start 13411.74096875
transcript.pyannote[2083].end 13422.97971875
transcript.pyannote[2084].speaker SPEAKER_11
transcript.pyannote[2084].start 13423.60409375
transcript.pyannote[2084].end 13429.39221875
transcript.pyannote[2085].speaker SPEAKER_11
transcript.pyannote[2085].start 13429.78034375
transcript.pyannote[2085].end 13433.40846875
transcript.pyannote[2086].speaker SPEAKER_11
transcript.pyannote[2086].start 13434.13409375
transcript.pyannote[2086].end 13439.95596875
transcript.pyannote[2087].speaker SPEAKER_18
transcript.pyannote[2087].start 13439.07846875
transcript.pyannote[2087].end 13448.49471875
transcript.pyannote[2088].speaker SPEAKER_11
transcript.pyannote[2088].start 13447.56659375
transcript.pyannote[2088].end 13451.70096875
transcript.pyannote[2089].speaker SPEAKER_18
transcript.pyannote[2089].start 13449.77721875
transcript.pyannote[2089].end 13451.32971875
transcript.pyannote[2090].speaker SPEAKER_18
transcript.pyannote[2090].start 13451.65034375
transcript.pyannote[2090].end 13451.66721875
transcript.pyannote[2091].speaker SPEAKER_18
transcript.pyannote[2091].start 13451.70096875
transcript.pyannote[2091].end 13452.02159375
transcript.pyannote[2092].speaker SPEAKER_11
transcript.pyannote[2092].start 13452.40971875
transcript.pyannote[2092].end 13454.36721875
transcript.pyannote[2093].speaker SPEAKER_18
transcript.pyannote[2093].start 13455.34596875
transcript.pyannote[2093].end 13462.53471875
transcript.pyannote[2094].speaker SPEAKER_11
transcript.pyannote[2094].start 13459.44659375
transcript.pyannote[2094].end 13460.23971875
transcript.pyannote[2095].speaker SPEAKER_11
transcript.pyannote[2095].start 13461.04971875
transcript.pyannote[2095].end 13461.47159375
transcript.pyannote[2096].speaker SPEAKER_11
transcript.pyannote[2096].start 13462.02846875
transcript.pyannote[2096].end 13465.84221875
transcript.pyannote[2097].speaker SPEAKER_11
transcript.pyannote[2097].start 13466.14596875
transcript.pyannote[2097].end 13467.61409375
transcript.pyannote[2098].speaker SPEAKER_11
transcript.pyannote[2098].start 13468.33971875
transcript.pyannote[2098].end 13472.44034375
transcript.pyannote[2099].speaker SPEAKER_18
transcript.pyannote[2099].start 13472.64284375
transcript.pyannote[2099].end 13477.33409375
transcript.pyannote[2100].speaker SPEAKER_11
transcript.pyannote[2100].start 13475.02221875
transcript.pyannote[2100].end 13481.65409375
transcript.pyannote[2101].speaker SPEAKER_18
transcript.pyannote[2101].start 13478.09346875
transcript.pyannote[2101].end 13479.71346875
transcript.pyannote[2102].speaker SPEAKER_18
transcript.pyannote[2102].start 13480.10159375
transcript.pyannote[2102].end 13480.25346875
transcript.pyannote[2103].speaker SPEAKER_18
transcript.pyannote[2103].start 13480.38846875
transcript.pyannote[2103].end 13480.50659375
transcript.pyannote[2104].speaker SPEAKER_18
transcript.pyannote[2104].start 13480.60784375
transcript.pyannote[2104].end 13480.62471875
transcript.pyannote[2105].speaker SPEAKER_18
transcript.pyannote[2105].start 13480.81034375
transcript.pyannote[2105].end 13481.62034375
transcript.pyannote[2106].speaker SPEAKER_18
transcript.pyannote[2106].start 13482.05909375
transcript.pyannote[2106].end 13492.31909375
transcript.pyannote[2107].speaker SPEAKER_11
transcript.pyannote[2107].start 13491.20534375
transcript.pyannote[2107].end 13495.94721875
transcript.pyannote[2108].speaker SPEAKER_30
transcript.pyannote[2108].start 13492.31909375
transcript.pyannote[2108].end 13492.80846875
transcript.pyannote[2109].speaker SPEAKER_14
transcript.pyannote[2109].start 13492.80846875
transcript.pyannote[2109].end 13493.38221875
transcript.pyannote[2110].speaker SPEAKER_18
transcript.pyannote[2110].start 13493.38221875
transcript.pyannote[2110].end 13493.39909375
transcript.pyannote[2111].speaker SPEAKER_14
transcript.pyannote[2111].start 13493.39909375
transcript.pyannote[2111].end 13493.60159375
transcript.pyannote[2112].speaker SPEAKER_14
transcript.pyannote[2112].start 13500.50346875
transcript.pyannote[2112].end 13502.88284375
transcript.pyannote[2113].speaker SPEAKER_14
transcript.pyannote[2113].start 13503.50721875
transcript.pyannote[2113].end 13507.23659375
transcript.pyannote[2114].speaker SPEAKER_14
transcript.pyannote[2114].start 13508.55284375
transcript.pyannote[2114].end 13511.96159375
transcript.pyannote[2115].speaker SPEAKER_14
transcript.pyannote[2115].start 13513.00784375
transcript.pyannote[2115].end 13519.11659375
transcript.pyannote[2116].speaker SPEAKER_14
transcript.pyannote[2116].start 13519.25159375
transcript.pyannote[2116].end 13531.58721875
transcript.pyannote[2117].speaker SPEAKER_24
transcript.pyannote[2117].start 13531.58721875
transcript.pyannote[2117].end 13531.60409375
transcript.pyannote[2118].speaker SPEAKER_14
transcript.pyannote[2118].start 13531.60409375
transcript.pyannote[2118].end 13531.63784375
transcript.pyannote[2119].speaker SPEAKER_24
transcript.pyannote[2119].start 13531.63784375
transcript.pyannote[2119].end 13531.68846875
transcript.pyannote[2120].speaker SPEAKER_14
transcript.pyannote[2120].start 13531.68846875
transcript.pyannote[2120].end 13532.02596875
transcript.pyannote[2121].speaker SPEAKER_24
transcript.pyannote[2121].start 13532.02596875
transcript.pyannote[2121].end 13532.90346875
transcript.pyannote[2122].speaker SPEAKER_14
transcript.pyannote[2122].start 17079.20159375
transcript.pyannote[2122].end 17104.96971875
transcript.pyannote[2123].speaker SPEAKER_02
transcript.pyannote[2123].start 17105.76284375
transcript.pyannote[2123].end 17109.00284375
transcript.pyannote[2124].speaker SPEAKER_02
transcript.pyannote[2124].start 17109.79596875
transcript.pyannote[2124].end 17111.75346875
transcript.pyannote[2125].speaker SPEAKER_02
transcript.pyannote[2125].start 17111.95596875
transcript.pyannote[2125].end 17114.94284375
transcript.pyannote[2126].speaker SPEAKER_02
transcript.pyannote[2126].start 17116.24221875
transcript.pyannote[2126].end 17120.62971875
transcript.pyannote[2127].speaker SPEAKER_02
transcript.pyannote[2127].start 17120.86596875
transcript.pyannote[2127].end 17123.54909375
transcript.pyannote[2128].speaker SPEAKER_02
transcript.pyannote[2128].start 17123.83596875
transcript.pyannote[2128].end 17126.83971875
transcript.pyannote[2129].speaker SPEAKER_02
transcript.pyannote[2129].start 17127.26159375
transcript.pyannote[2129].end 17132.23971875
transcript.pyannote[2130].speaker SPEAKER_02
transcript.pyannote[2130].start 17132.88096875
transcript.pyannote[2130].end 17133.60659375
transcript.pyannote[2131].speaker SPEAKER_02
transcript.pyannote[2131].start 17134.06221875
transcript.pyannote[2131].end 17137.97721875
transcript.pyannote[2132].speaker SPEAKER_02
transcript.pyannote[2132].start 17138.36534375
transcript.pyannote[2132].end 17148.20346875
transcript.pyannote[2133].speaker SPEAKER_02
transcript.pyannote[2133].start 17151.03846875
transcript.pyannote[2133].end 17155.37534375
transcript.pyannote[2134].speaker SPEAKER_02
transcript.pyannote[2134].start 17155.66221875
transcript.pyannote[2134].end 17158.24409375
transcript.pyannote[2135].speaker SPEAKER_02
transcript.pyannote[2135].start 17158.64909375
transcript.pyannote[2135].end 17160.30284375
transcript.pyannote[2136].speaker SPEAKER_02
transcript.pyannote[2136].start 17160.45471875
transcript.pyannote[2136].end 17167.22159375
transcript.pyannote[2137].speaker SPEAKER_02
transcript.pyannote[2137].start 17167.44096875
transcript.pyannote[2137].end 17172.26721875
transcript.pyannote[2138].speaker SPEAKER_02
transcript.pyannote[2138].start 17172.65534375
transcript.pyannote[2138].end 17176.62096875
transcript.pyannote[2139].speaker SPEAKER_02
transcript.pyannote[2139].start 17177.09346875
transcript.pyannote[2139].end 17181.70034375
transcript.pyannote[2140].speaker SPEAKER_02
transcript.pyannote[2140].start 17182.18971875
transcript.pyannote[2140].end 17185.34534375
transcript.pyannote[2141].speaker SPEAKER_02
transcript.pyannote[2141].start 17185.76721875
transcript.pyannote[2141].end 17187.87659375
transcript.pyannote[2142].speaker SPEAKER_02
transcript.pyannote[2142].start 17188.19721875
transcript.pyannote[2142].end 17191.75784375
transcript.pyannote[2143].speaker SPEAKER_02
transcript.pyannote[2143].start 17192.01096875
transcript.pyannote[2143].end 17194.59284375
transcript.pyannote[2144].speaker SPEAKER_02
transcript.pyannote[2144].start 17196.09471875
transcript.pyannote[2144].end 17198.11971875
transcript.pyannote[2145].speaker SPEAKER_02
transcript.pyannote[2145].start 17198.35596875
transcript.pyannote[2145].end 17201.30909375
transcript.pyannote[2146].speaker SPEAKER_02
transcript.pyannote[2146].start 17201.62971875
transcript.pyannote[2146].end 17218.16721875
transcript.pyannote[2147].speaker SPEAKER_02
transcript.pyannote[2147].start 17221.01909375
transcript.pyannote[2147].end 17225.40659375
transcript.pyannote[2148].speaker SPEAKER_02
transcript.pyannote[2148].start 17225.92971875
transcript.pyannote[2148].end 17227.56659375
transcript.pyannote[2149].speaker SPEAKER_02
transcript.pyannote[2149].start 17228.37659375
transcript.pyannote[2149].end 17229.13596875
transcript.pyannote[2150].speaker SPEAKER_02
transcript.pyannote[2150].start 17229.60846875
transcript.pyannote[2150].end 17232.52784375
transcript.pyannote[2151].speaker SPEAKER_02
transcript.pyannote[2151].start 17233.03409375
transcript.pyannote[2151].end 17235.39659375
transcript.pyannote[2152].speaker SPEAKER_02
transcript.pyannote[2152].start 17235.85221875
transcript.pyannote[2152].end 17239.59846875
transcript.pyannote[2153].speaker SPEAKER_02
transcript.pyannote[2153].start 17240.27346875
transcript.pyannote[2153].end 17240.79659375
transcript.pyannote[2154].speaker SPEAKER_02
transcript.pyannote[2154].start 17241.11721875
transcript.pyannote[2154].end 17244.74534375
transcript.pyannote[2155].speaker SPEAKER_02
transcript.pyannote[2155].start 17245.67346875
transcript.pyannote[2155].end 17250.92159375
transcript.pyannote[2156].speaker SPEAKER_02
transcript.pyannote[2156].start 17251.34346875
transcript.pyannote[2156].end 17253.08159375
transcript.pyannote[2157].speaker SPEAKER_02
transcript.pyannote[2157].start 17254.06034375
transcript.pyannote[2157].end 17257.89096875
transcript.pyannote[2158].speaker SPEAKER_02
transcript.pyannote[2158].start 17258.27909375
transcript.pyannote[2158].end 17260.08471875
transcript.pyannote[2159].speaker SPEAKER_02
transcript.pyannote[2159].start 17260.27034375
transcript.pyannote[2159].end 17264.11784375
transcript.pyannote[2160].speaker SPEAKER_02
transcript.pyannote[2160].start 17265.36659375
transcript.pyannote[2160].end 17268.62346875
transcript.pyannote[2161].speaker SPEAKER_02
transcript.pyannote[2161].start 17268.97784375
transcript.pyannote[2161].end 17271.61034375
transcript.pyannote[2162].speaker SPEAKER_02
transcript.pyannote[2162].start 17271.99846875
transcript.pyannote[2162].end 17272.99409375
transcript.pyannote[2163].speaker SPEAKER_02
transcript.pyannote[2163].start 17273.36534375
transcript.pyannote[2163].end 17273.78721875
transcript.pyannote[2164].speaker SPEAKER_02
transcript.pyannote[2164].start 17274.14159375
transcript.pyannote[2164].end 17275.25534375
transcript.pyannote[2165].speaker SPEAKER_02
transcript.pyannote[2165].start 17276.38596875
transcript.pyannote[2165].end 17277.09471875
transcript.pyannote[2166].speaker SPEAKER_02
transcript.pyannote[2166].start 17278.54596875
transcript.pyannote[2166].end 17283.05159375
transcript.pyannote[2167].speaker SPEAKER_02
transcript.pyannote[2167].start 17283.35534375
transcript.pyannote[2167].end 17285.59971875
transcript.pyannote[2168].speaker SPEAKER_02
transcript.pyannote[2168].start 17287.69221875
transcript.pyannote[2168].end 17291.11784375
transcript.pyannote[2169].speaker SPEAKER_02
transcript.pyannote[2169].start 17291.15159375
transcript.pyannote[2169].end 17292.67034375
transcript.pyannote[2170].speaker SPEAKER_02
transcript.pyannote[2170].start 17293.07534375
transcript.pyannote[2170].end 17295.92721875
transcript.pyannote[2171].speaker SPEAKER_02
transcript.pyannote[2171].start 17296.16346875
transcript.pyannote[2171].end 17298.76221875
transcript.pyannote[2172].speaker SPEAKER_02
transcript.pyannote[2172].start 17299.08284375
transcript.pyannote[2172].end 17300.97284375
transcript.pyannote[2173].speaker SPEAKER_02
transcript.pyannote[2173].start 17302.23846875
transcript.pyannote[2173].end 17303.11596875
transcript.pyannote[2174].speaker SPEAKER_02
transcript.pyannote[2174].start 17303.47034375
transcript.pyannote[2174].end 17305.68096875
transcript.pyannote[2175].speaker SPEAKER_14
transcript.pyannote[2175].start 17307.50346875
transcript.pyannote[2175].end 17310.94596875
transcript.pyannote[2176].speaker SPEAKER_14
transcript.pyannote[2176].start 17311.31721875
transcript.pyannote[2176].end 17312.31284375
transcript.pyannote[2177].speaker SPEAKER_14
transcript.pyannote[2177].start 17313.34221875
transcript.pyannote[2177].end 17317.47659375
transcript.pyannote[2178].speaker SPEAKER_14
transcript.pyannote[2178].start 17317.94909375
transcript.pyannote[2178].end 17326.20096875
transcript.pyannote[2179].speaker SPEAKER_14
transcript.pyannote[2179].start 17326.57221875
transcript.pyannote[2179].end 17362.97159375
transcript.pyannote[2180].speaker SPEAKER_14
transcript.pyannote[2180].start 17363.62971875
transcript.pyannote[2180].end 17367.81471875
transcript.pyannote[2181].speaker SPEAKER_14
transcript.pyannote[2181].start 17367.94971875
transcript.pyannote[2181].end 17388.90846875
transcript.pyannote[2182].speaker SPEAKER_14
transcript.pyannote[2182].start 17389.56659375
transcript.pyannote[2182].end 17399.69159375
transcript.pyannote[2183].speaker SPEAKER_14
transcript.pyannote[2183].start 17400.63659375
transcript.pyannote[2183].end 17417.07284375
transcript.pyannote[2184].speaker SPEAKER_14
transcript.pyannote[2184].start 17417.69721875
transcript.pyannote[2184].end 17438.03159375
transcript.pyannote[2185].speaker SPEAKER_14
transcript.pyannote[2185].start 17438.20034375
transcript.pyannote[2185].end 17442.40221875
transcript.pyannote[2186].speaker SPEAKER_14
transcript.pyannote[2186].start 17443.87034375
transcript.pyannote[2186].end 17445.43971875
transcript.pyannote[2187].speaker SPEAKER_14
transcript.pyannote[2187].start 17446.03034375
transcript.pyannote[2187].end 17446.35096875
transcript.pyannote[2188].speaker SPEAKER_14
transcript.pyannote[2188].start 17446.95846875
transcript.pyannote[2188].end 17447.68409375
transcript.pyannote[2189].speaker SPEAKER_14
transcript.pyannote[2189].start 17448.67971875
transcript.pyannote[2189].end 17463.27659375
transcript.pyannote[2190].speaker SPEAKER_14
transcript.pyannote[2190].start 17463.59721875
transcript.pyannote[2190].end 17466.33096875
transcript.pyannote[2191].speaker SPEAKER_14
transcript.pyannote[2191].start 17467.29284375
transcript.pyannote[2191].end 17476.94534375
transcript.pyannote[2192].speaker SPEAKER_14
transcript.pyannote[2192].start 17477.68784375
transcript.pyannote[2192].end 17489.21346875
transcript.pyannote[2193].speaker SPEAKER_14
transcript.pyannote[2193].start 17491.52534375
transcript.pyannote[2193].end 17496.03096875
transcript.pyannote[2194].speaker SPEAKER_20
transcript.pyannote[2194].start 17497.93784375
transcript.pyannote[2194].end 17497.95471875
transcript.pyannote[2195].speaker SPEAKER_14
transcript.pyannote[2195].start 17497.95471875
transcript.pyannote[2195].end 17503.01721875
transcript.pyannote[2196].speaker SPEAKER_20
transcript.pyannote[2196].start 17498.00534375
transcript.pyannote[2196].end 17503.06784375
transcript.pyannote[2197].speaker SPEAKER_20
transcript.pyannote[2197].start 17503.27034375
transcript.pyannote[2197].end 17554.43534375
transcript.pyannote[2198].speaker SPEAKER_14
transcript.pyannote[2198].start 17503.55721875
transcript.pyannote[2198].end 17504.97471875
transcript.pyannote[2199].speaker SPEAKER_20
transcript.pyannote[2199].start 17554.72221875
transcript.pyannote[2199].end 17578.51596875
transcript.pyannote[2200].speaker SPEAKER_14
transcript.pyannote[2200].start 17581.19909375
transcript.pyannote[2200].end 17584.55721875
transcript.pyannote[2201].speaker SPEAKER_14
transcript.pyannote[2201].start 17585.09721875
transcript.pyannote[2201].end 17585.60346875
transcript.pyannote[2202].speaker SPEAKER_14
transcript.pyannote[2202].start 17585.97471875
transcript.pyannote[2202].end 17588.37096875
transcript.pyannote[2203].speaker SPEAKER_14
transcript.pyannote[2203].start 17588.52284375
transcript.pyannote[2203].end 17588.59034375
transcript.pyannote[2204].speaker SPEAKER_14
transcript.pyannote[2204].start 17590.14284375
transcript.pyannote[2204].end 17591.07096875
transcript.pyannote[2205].speaker SPEAKER_14
transcript.pyannote[2205].start 17592.35346875
transcript.pyannote[2205].end 17593.24784375
transcript.pyannote[2206].speaker SPEAKER_14
transcript.pyannote[2206].start 17593.65284375
transcript.pyannote[2206].end 17602.42784375
transcript.pyannote[2207].speaker SPEAKER_14
transcript.pyannote[2207].start 17602.68096875
transcript.pyannote[2207].end 17604.53721875
transcript.pyannote[2208].speaker SPEAKER_14
transcript.pyannote[2208].start 17607.06846875
transcript.pyannote[2208].end 17610.02159375
transcript.pyannote[2209].speaker SPEAKER_37
transcript.pyannote[2209].start 17614.49346875
transcript.pyannote[2209].end 17616.56909375
transcript.pyannote[2210].speaker SPEAKER_37
transcript.pyannote[2210].start 17616.95721875
transcript.pyannote[2210].end 17622.96471875
transcript.pyannote[2211].speaker SPEAKER_14
transcript.pyannote[2211].start 17622.96471875
transcript.pyannote[2211].end 17624.63534375
transcript.pyannote[2212].speaker SPEAKER_37
transcript.pyannote[2212].start 17624.63534375
transcript.pyannote[2212].end 17624.65221875
transcript.pyannote[2213].speaker SPEAKER_14
transcript.pyannote[2213].start 17624.98971875
transcript.pyannote[2213].end 17638.03409375
transcript.pyannote[2214].speaker SPEAKER_14
transcript.pyannote[2214].start 17638.40534375
transcript.pyannote[2214].end 17640.02534375
transcript.pyannote[2215].speaker SPEAKER_37
transcript.pyannote[2215].start 17640.02534375
transcript.pyannote[2215].end 17640.22784375
transcript.pyannote[2216].speaker SPEAKER_14
transcript.pyannote[2216].start 17640.22784375
transcript.pyannote[2216].end 17640.51471875
transcript.pyannote[2217].speaker SPEAKER_37
transcript.pyannote[2217].start 17640.51471875
transcript.pyannote[2217].end 17640.97034375
transcript.pyannote[2218].speaker SPEAKER_14
transcript.pyannote[2218].start 17640.97034375
transcript.pyannote[2218].end 17641.03784375
transcript.pyannote[2219].speaker SPEAKER_37
transcript.pyannote[2219].start 17641.03784375
transcript.pyannote[2219].end 17641.96596875
transcript.pyannote[2220].speaker SPEAKER_14
transcript.pyannote[2220].start 17641.96596875
transcript.pyannote[2220].end 17643.02909375
transcript.pyannote[2221].speaker SPEAKER_37
transcript.pyannote[2221].start 17643.02909375
transcript.pyannote[2221].end 17643.72096875
transcript.pyannote[2222].speaker SPEAKER_14
transcript.pyannote[2222].start 17643.72096875
transcript.pyannote[2222].end 17643.73784375
transcript.pyannote[2223].speaker SPEAKER_37
transcript.pyannote[2223].start 17643.73784375
transcript.pyannote[2223].end 17643.75471875
transcript.pyannote[2224].speaker SPEAKER_37
transcript.pyannote[2224].start 17644.32846875
transcript.pyannote[2224].end 17644.34534375
transcript.pyannote[2225].speaker SPEAKER_14
transcript.pyannote[2225].start 17644.34534375
transcript.pyannote[2225].end 17644.36221875
transcript.pyannote[2226].speaker SPEAKER_37
transcript.pyannote[2226].start 17644.36221875
transcript.pyannote[2226].end 17648.81721875
transcript.pyannote[2227].speaker SPEAKER_37
transcript.pyannote[2227].start 17649.01971875
transcript.pyannote[2227].end 17653.28909375
transcript.pyannote[2228].speaker SPEAKER_37
transcript.pyannote[2228].start 17653.82909375
transcript.pyannote[2228].end 17655.80346875
transcript.pyannote[2229].speaker SPEAKER_14
transcript.pyannote[2229].start 17655.80346875
transcript.pyannote[2229].end 17655.82034375
transcript.pyannote[2230].speaker SPEAKER_37
transcript.pyannote[2230].start 17655.82034375
transcript.pyannote[2230].end 17655.83721875
transcript.pyannote[2231].speaker SPEAKER_37
transcript.pyannote[2231].start 17655.97221875
transcript.pyannote[2231].end 17657.59221875
transcript.pyannote[2232].speaker SPEAKER_37
transcript.pyannote[2232].start 17657.98034375
transcript.pyannote[2232].end 17658.92534375
transcript.pyannote[2233].speaker SPEAKER_14
transcript.pyannote[2233].start 17658.92534375
transcript.pyannote[2233].end 17658.94221875
transcript.pyannote[2234].speaker SPEAKER_14
transcript.pyannote[2234].start 17660.88284375
transcript.pyannote[2234].end 17661.32159375
transcript.pyannote[2235].speaker SPEAKER_14
transcript.pyannote[2235].start 17661.64221875
transcript.pyannote[2235].end 17663.05971875
transcript.pyannote[2236].speaker SPEAKER_17
transcript.pyannote[2236].start 17664.46034375
transcript.pyannote[2236].end 17672.83034375
transcript.pyannote[2237].speaker SPEAKER_17
transcript.pyannote[2237].start 17673.18471875
transcript.pyannote[2237].end 17677.03221875
transcript.pyannote[2238].speaker SPEAKER_17
transcript.pyannote[2238].start 17677.31909375
transcript.pyannote[2238].end 17680.50846875
transcript.pyannote[2239].speaker SPEAKER_17
transcript.pyannote[2239].start 17680.55909375
transcript.pyannote[2239].end 17684.15346875
transcript.pyannote[2240].speaker SPEAKER_17
transcript.pyannote[2240].start 17684.35596875
transcript.pyannote[2240].end 17688.10221875
transcript.pyannote[2241].speaker SPEAKER_17
transcript.pyannote[2241].start 17688.32159375
transcript.pyannote[2241].end 17689.97534375
transcript.pyannote[2242].speaker SPEAKER_17
transcript.pyannote[2242].start 17690.34659375
transcript.pyannote[2242].end 17707.67721875
transcript.pyannote[2243].speaker SPEAKER_17
transcript.pyannote[2243].start 17708.18346875
transcript.pyannote[2243].end 17715.30471875
transcript.pyannote[2244].speaker SPEAKER_17
transcript.pyannote[2244].start 17715.99659375
transcript.pyannote[2244].end 17718.54471875
transcript.pyannote[2245].speaker SPEAKER_17
transcript.pyannote[2245].start 17719.13534375
transcript.pyannote[2245].end 17720.06346875
transcript.pyannote[2246].speaker SPEAKER_17
transcript.pyannote[2246].start 17720.73846875
transcript.pyannote[2246].end 17737.09034375
transcript.pyannote[2247].speaker SPEAKER_33
transcript.pyannote[2247].start 17721.70034375
transcript.pyannote[2247].end 17721.98721875
transcript.pyannote[2248].speaker SPEAKER_17
transcript.pyannote[2248].start 17737.71471875
transcript.pyannote[2248].end 17739.25034375
transcript.pyannote[2249].speaker SPEAKER_17
transcript.pyannote[2249].start 17739.48659375
transcript.pyannote[2249].end 17750.92784375
transcript.pyannote[2250].speaker SPEAKER_17
transcript.pyannote[2250].start 17751.36659375
transcript.pyannote[2250].end 17753.59409375
transcript.pyannote[2251].speaker SPEAKER_17
transcript.pyannote[2251].start 17754.16784375
transcript.pyannote[2251].end 17767.63409375
transcript.pyannote[2252].speaker SPEAKER_17
transcript.pyannote[2252].start 17768.30909375
transcript.pyannote[2252].end 17781.84284375
transcript.pyannote[2253].speaker SPEAKER_17
transcript.pyannote[2253].start 17781.92721875
transcript.pyannote[2253].end 17800.27034375
transcript.pyannote[2254].speaker SPEAKER_17
transcript.pyannote[2254].start 17800.33784375
transcript.pyannote[2254].end 17801.06346875
transcript.pyannote[2255].speaker SPEAKER_17
transcript.pyannote[2255].start 17801.11409375
transcript.pyannote[2255].end 17803.61159375
transcript.pyannote[2256].speaker SPEAKER_17
transcript.pyannote[2256].start 17803.86471875
transcript.pyannote[2256].end 17814.14159375
transcript.pyannote[2257].speaker SPEAKER_17
transcript.pyannote[2257].start 17814.63096875
transcript.pyannote[2257].end 17828.01284375
transcript.pyannote[2258].speaker SPEAKER_17
transcript.pyannote[2258].start 17828.18159375
transcript.pyannote[2258].end 17831.45534375
transcript.pyannote[2259].speaker SPEAKER_17
transcript.pyannote[2259].start 17831.82659375
transcript.pyannote[2259].end 17840.60159375
transcript.pyannote[2260].speaker SPEAKER_17
transcript.pyannote[2260].start 17840.75346875
transcript.pyannote[2260].end 17841.15846875
transcript.pyannote[2261].speaker SPEAKER_17
transcript.pyannote[2261].start 17841.47909375
transcript.pyannote[2261].end 17844.16221875
transcript.pyannote[2262].speaker SPEAKER_17
transcript.pyannote[2262].start 17844.70221875
transcript.pyannote[2262].end 17851.40159375
transcript.pyannote[2263].speaker SPEAKER_17
transcript.pyannote[2263].start 17851.99221875
transcript.pyannote[2263].end 17875.90409375
transcript.pyannote[2264].speaker SPEAKER_17
transcript.pyannote[2264].start 17876.20784375
transcript.pyannote[2264].end 17879.92034375
transcript.pyannote[2265].speaker SPEAKER_17
transcript.pyannote[2265].start 17880.30846875
transcript.pyannote[2265].end 17890.14659375
transcript.pyannote[2266].speaker SPEAKER_17
transcript.pyannote[2266].start 17890.43346875
transcript.pyannote[2266].end 17891.63159375
transcript.pyannote[2267].speaker SPEAKER_17
transcript.pyannote[2267].start 17891.86784375
transcript.pyannote[2267].end 17892.69471875
transcript.pyannote[2268].speaker SPEAKER_17
transcript.pyannote[2268].start 17893.65659375
transcript.pyannote[2268].end 17897.43659375
transcript.pyannote[2269].speaker SPEAKER_17
transcript.pyannote[2269].start 17897.57159375
transcript.pyannote[2269].end 17905.72221875
transcript.pyannote[2270].speaker SPEAKER_17
transcript.pyannote[2270].start 17906.19471875
transcript.pyannote[2270].end 17913.33284375
transcript.pyannote[2271].speaker SPEAKER_17
transcript.pyannote[2271].start 17913.60284375
transcript.pyannote[2271].end 17915.35784375
transcript.pyannote[2272].speaker SPEAKER_17
transcript.pyannote[2272].start 17915.45909375
transcript.pyannote[2272].end 17918.22659375
transcript.pyannote[2273].speaker SPEAKER_17
transcript.pyannote[2273].start 17918.49659375
transcript.pyannote[2273].end 17925.43221875
transcript.pyannote[2274].speaker SPEAKER_14
transcript.pyannote[2274].start 17924.52096875
transcript.pyannote[2274].end 17925.85409375
transcript.pyannote[2275].speaker SPEAKER_14
transcript.pyannote[2275].start 17926.57971875
transcript.pyannote[2275].end 17926.61346875
transcript.pyannote[2276].speaker SPEAKER_17
transcript.pyannote[2276].start 17926.61346875
transcript.pyannote[2276].end 17926.63034375
transcript.pyannote[2277].speaker SPEAKER_14
transcript.pyannote[2277].start 17926.63034375
transcript.pyannote[2277].end 17927.35596875
transcript.pyannote[2278].speaker SPEAKER_17
transcript.pyannote[2278].start 17927.35596875
transcript.pyannote[2278].end 17927.38971875
transcript.pyannote[2279].speaker SPEAKER_14
transcript.pyannote[2279].start 17927.62596875
transcript.pyannote[2279].end 17927.64284375
transcript.pyannote[2280].speaker SPEAKER_17
transcript.pyannote[2280].start 17927.64284375
transcript.pyannote[2280].end 17936.14784375
transcript.pyannote[2281].speaker SPEAKER_14
transcript.pyannote[2281].start 17927.71034375
transcript.pyannote[2281].end 17929.31346875
transcript.pyannote[2282].speaker SPEAKER_37
transcript.pyannote[2282].start 17932.51971875
transcript.pyannote[2282].end 17933.04284375
transcript.pyannote[2283].speaker SPEAKER_37
transcript.pyannote[2283].start 17933.49846875
transcript.pyannote[2283].end 17940.51846875
transcript.pyannote[2284].speaker SPEAKER_37
transcript.pyannote[2284].start 17940.88971875
transcript.pyannote[2284].end 17942.57721875
transcript.pyannote[2285].speaker SPEAKER_37
transcript.pyannote[2285].start 17943.03284375
transcript.pyannote[2285].end 17950.10346875
transcript.pyannote[2286].speaker SPEAKER_37
transcript.pyannote[2286].start 17950.37346875
transcript.pyannote[2286].end 17951.31846875
transcript.pyannote[2287].speaker SPEAKER_37
transcript.pyannote[2287].start 17952.06096875
transcript.pyannote[2287].end 17953.20846875
transcript.pyannote[2288].speaker SPEAKER_37
transcript.pyannote[2288].start 17954.30534375
transcript.pyannote[2288].end 17955.28409375
transcript.pyannote[2289].speaker SPEAKER_37
transcript.pyannote[2289].start 17955.94221875
transcript.pyannote[2289].end 17956.70159375
transcript.pyannote[2290].speaker SPEAKER_37
transcript.pyannote[2290].start 17956.87034375
transcript.pyannote[2290].end 17957.69721875
transcript.pyannote[2291].speaker SPEAKER_37
transcript.pyannote[2291].start 17958.22034375
transcript.pyannote[2291].end 17959.75596875
transcript.pyannote[2292].speaker SPEAKER_14
transcript.pyannote[2292].start 17959.75596875
transcript.pyannote[2292].end 17959.84034375
transcript.pyannote[2293].speaker SPEAKER_37
transcript.pyannote[2293].start 17959.84034375
transcript.pyannote[2293].end 17959.97534375
transcript.pyannote[2294].speaker SPEAKER_14
transcript.pyannote[2294].start 17959.97534375
transcript.pyannote[2294].end 17961.91596875
transcript.pyannote[2295].speaker SPEAKER_14
transcript.pyannote[2295].start 17962.33784375
transcript.pyannote[2295].end 17971.55159375
transcript.pyannote[2296].speaker SPEAKER_14
transcript.pyannote[2296].start 17971.83846875
transcript.pyannote[2296].end 17978.65596875
transcript.pyannote[2297].speaker SPEAKER_14
transcript.pyannote[2297].start 17979.43221875
transcript.pyannote[2297].end 17980.39409375
transcript.pyannote[2298].speaker SPEAKER_14
transcript.pyannote[2298].start 17982.63846875
transcript.pyannote[2298].end 17982.67221875
transcript.pyannote[2299].speaker SPEAKER_27
transcript.pyannote[2299].start 17982.67221875
transcript.pyannote[2299].end 18016.77659375
transcript.pyannote[2300].speaker SPEAKER_14
transcript.pyannote[2300].start 17982.68909375
transcript.pyannote[2300].end 17984.54534375
transcript.pyannote[2301].speaker SPEAKER_37
transcript.pyannote[2301].start 17984.54534375
transcript.pyannote[2301].end 17984.64659375
transcript.pyannote[2302].speaker SPEAKER_27
transcript.pyannote[2302].start 18017.73846875
transcript.pyannote[2302].end 18019.34159375
transcript.pyannote[2303].speaker SPEAKER_18
transcript.pyannote[2303].start 18022.96971875
transcript.pyannote[2303].end 18030.96846875
transcript.pyannote[2304].speaker SPEAKER_18
transcript.pyannote[2304].start 18031.22159375
transcript.pyannote[2304].end 18095.80221875
transcript.pyannote[2305].speaker SPEAKER_14
transcript.pyannote[2305].start 18041.49846875
transcript.pyannote[2305].end 18042.37596875
transcript.pyannote[2306].speaker SPEAKER_18
transcript.pyannote[2306].start 18096.02159375
transcript.pyannote[2306].end 18107.36159375
transcript.pyannote[2307].speaker SPEAKER_18
transcript.pyannote[2307].start 18107.46284375
transcript.pyannote[2307].end 18159.13409375
transcript.pyannote[2308].speaker SPEAKER_14
transcript.pyannote[2308].start 18162.23909375
transcript.pyannote[2308].end 18163.15034375
transcript.pyannote[2309].speaker SPEAKER_17
transcript.pyannote[2309].start 18163.42034375
transcript.pyannote[2309].end 18170.86221875
transcript.pyannote[2310].speaker SPEAKER_17
transcript.pyannote[2310].start 18171.41909375
transcript.pyannote[2310].end 18185.89784375
transcript.pyannote[2311].speaker SPEAKER_17
transcript.pyannote[2311].start 18186.06659375
transcript.pyannote[2311].end 18187.18034375
transcript.pyannote[2312].speaker SPEAKER_17
transcript.pyannote[2312].start 18187.36596875
transcript.pyannote[2312].end 18192.56346875
transcript.pyannote[2313].speaker SPEAKER_18
transcript.pyannote[2313].start 18194.14971875
transcript.pyannote[2313].end 18198.97596875
transcript.pyannote[2314].speaker SPEAKER_24
transcript.pyannote[2314].start 18198.97596875
transcript.pyannote[2314].end 18205.89471875
transcript.pyannote[2315].speaker SPEAKER_16
transcript.pyannote[2315].start 18210.01221875
transcript.pyannote[2315].end 18213.18471875
transcript.pyannote[2316].speaker SPEAKER_16
transcript.pyannote[2316].start 18213.48846875
transcript.pyannote[2316].end 18214.43346875
transcript.pyannote[2317].speaker SPEAKER_14
transcript.pyannote[2317].start 18213.77534375
transcript.pyannote[2317].end 18216.37409375
transcript.pyannote[2318].speaker SPEAKER_16
transcript.pyannote[2318].start 18216.37409375
transcript.pyannote[2318].end 18217.03221875
transcript.pyannote[2319].speaker SPEAKER_14
transcript.pyannote[2319].start 18217.03221875
transcript.pyannote[2319].end 18217.77471875
transcript.pyannote[2320].speaker SPEAKER_16
transcript.pyannote[2320].start 18217.77471875
transcript.pyannote[2320].end 18240.03284375
transcript.pyannote[2321].speaker SPEAKER_16
transcript.pyannote[2321].start 18240.16784375
transcript.pyannote[2321].end 18240.18471875
transcript.pyannote[2322].speaker SPEAKER_16
transcript.pyannote[2322].start 18240.21846875
transcript.pyannote[2322].end 18251.89596875
transcript.pyannote[2323].speaker SPEAKER_16
transcript.pyannote[2323].start 18252.36846875
transcript.pyannote[2323].end 18259.42221875
transcript.pyannote[2324].speaker SPEAKER_16
transcript.pyannote[2324].start 18259.74284375
transcript.pyannote[2324].end 18324.13784375
transcript.pyannote[2325].speaker SPEAKER_14
transcript.pyannote[2325].start 18324.13784375
transcript.pyannote[2325].end 18324.15471875
transcript.pyannote[2326].speaker SPEAKER_14
transcript.pyannote[2326].start 18325.94346875
transcript.pyannote[2326].end 18327.22596875
transcript.pyannote[2327].speaker SPEAKER_14
transcript.pyannote[2327].start 18327.69846875
transcript.pyannote[2327].end 18330.26346875
transcript.pyannote[2328].speaker SPEAKER_14
transcript.pyannote[2328].start 18330.83721875
transcript.pyannote[2328].end 18342.93659375
transcript.pyannote[2329].speaker SPEAKER_14
transcript.pyannote[2329].start 18343.00409375
transcript.pyannote[2329].end 18352.28534375
transcript.pyannote[2330].speaker SPEAKER_14
transcript.pyannote[2330].start 18353.02784375
transcript.pyannote[2330].end 18360.97596875
transcript.pyannote[2331].speaker SPEAKER_14
transcript.pyannote[2331].start 18363.43971875
transcript.pyannote[2331].end 18365.51534375
transcript.pyannote[2332].speaker SPEAKER_14
transcript.pyannote[2332].start 18365.85284375
transcript.pyannote[2332].end 18366.89909375
transcript.pyannote[2333].speaker SPEAKER_16
transcript.pyannote[2333].start 18368.14784375
transcript.pyannote[2333].end 18391.03034375
transcript.pyannote[2334].speaker SPEAKER_14
transcript.pyannote[2334].start 18389.07284375
transcript.pyannote[2334].end 18389.54534375
transcript.pyannote[2335].speaker SPEAKER_14
transcript.pyannote[2335].start 18391.48596875
transcript.pyannote[2335].end 18398.86034375
transcript.pyannote[2336].speaker SPEAKER_16
transcript.pyannote[2336].start 18400.53096875
transcript.pyannote[2336].end 18405.84659375
transcript.pyannote[2337].speaker SPEAKER_14
transcript.pyannote[2337].start 18401.22284375
transcript.pyannote[2337].end 18402.79221875
transcript.pyannote[2338].speaker SPEAKER_14
transcript.pyannote[2338].start 18405.77909375
transcript.pyannote[2338].end 18410.13284375
transcript.pyannote[2339].speaker SPEAKER_14
transcript.pyannote[2339].start 18410.28471875
transcript.pyannote[2339].end 18421.35471875
transcript.pyannote[2340].speaker SPEAKER_18
transcript.pyannote[2340].start 18421.20284375
transcript.pyannote[2340].end 18426.80534375
transcript.pyannote[2341].speaker SPEAKER_14
transcript.pyannote[2341].start 18423.29534375
transcript.pyannote[2341].end 18423.36284375
transcript.pyannote[2342].speaker SPEAKER_14
transcript.pyannote[2342].start 18425.75909375
transcript.pyannote[2342].end 18462.42846875
transcript.pyannote[2343].speaker SPEAKER_14
transcript.pyannote[2343].start 18463.81221875
transcript.pyannote[2343].end 18475.43909375
transcript.pyannote[2344].speaker SPEAKER_03
transcript.pyannote[2344].start 18475.33784375
transcript.pyannote[2344].end 18475.42221875
transcript.pyannote[2345].speaker SPEAKER_03
transcript.pyannote[2345].start 18475.43909375
transcript.pyannote[2345].end 18475.48971875
transcript.pyannote[2346].speaker SPEAKER_03
transcript.pyannote[2346].start 18475.54034375
transcript.pyannote[2346].end 18479.11784375
transcript.pyannote[2347].speaker SPEAKER_03
transcript.pyannote[2347].start 18479.91096875
transcript.pyannote[2347].end 18481.02471875
transcript.pyannote[2348].speaker SPEAKER_14
transcript.pyannote[2348].start 18481.85159375
transcript.pyannote[2348].end 18484.06221875
transcript.pyannote[2349].speaker SPEAKER_14
transcript.pyannote[2349].start 18484.24784375
transcript.pyannote[2349].end 18486.42471875
transcript.pyannote[2350].speaker SPEAKER_14
transcript.pyannote[2350].start 18488.60159375
transcript.pyannote[2350].end 18491.03159375
transcript.pyannote[2351].speaker SPEAKER_14
transcript.pyannote[2351].start 18491.77409375
transcript.pyannote[2351].end 18493.30971875
transcript.pyannote[2352].speaker SPEAKER_14
transcript.pyannote[2352].start 18494.47409375
transcript.pyannote[2352].end 18498.05159375
transcript.pyannote[2353].speaker SPEAKER_14
transcript.pyannote[2353].start 18498.40596875
transcript.pyannote[2353].end 18498.96284375
transcript.pyannote[2354].speaker SPEAKER_14
transcript.pyannote[2354].start 18499.23284375
transcript.pyannote[2354].end 18499.78971875
transcript.pyannote[2355].speaker SPEAKER_14
transcript.pyannote[2355].start 18500.04284375
transcript.pyannote[2355].end 18501.08909375
transcript.pyannote[2356].speaker SPEAKER_14
transcript.pyannote[2356].start 18501.34221875
transcript.pyannote[2356].end 18502.52346875
transcript.pyannote[2357].speaker SPEAKER_14
transcript.pyannote[2357].start 18503.46846875
transcript.pyannote[2357].end 18503.70471875
transcript.pyannote[2358].speaker SPEAKER_14
transcript.pyannote[2358].start 18505.20659375
transcript.pyannote[2358].end 18508.53096875
transcript.pyannote[2359].speaker SPEAKER_14
transcript.pyannote[2359].start 18509.10471875
transcript.pyannote[2359].end 18512.83409375
transcript.pyannote[2360].speaker SPEAKER_14
transcript.pyannote[2360].start 18513.93096875
transcript.pyannote[2360].end 18517.23846875
transcript.pyannote[2361].speaker SPEAKER_14
transcript.pyannote[2361].start 18517.60971875
transcript.pyannote[2361].end 18518.52096875
transcript.pyannote[2362].speaker SPEAKER_14
transcript.pyannote[2362].start 18519.80346875
transcript.pyannote[2362].end 18523.09409375
transcript.pyannote[2363].speaker SPEAKER_14
transcript.pyannote[2363].start 18523.58346875
transcript.pyannote[2363].end 18530.13096875
transcript.pyannote[2364].speaker SPEAKER_14
transcript.pyannote[2364].start 18530.99159375
transcript.pyannote[2364].end 18535.12596875
transcript.pyannote[2365].speaker SPEAKER_10
transcript.pyannote[2365].start 18536.30721875
transcript.pyannote[2365].end 18541.11659375
transcript.pyannote[2366].speaker SPEAKER_10
transcript.pyannote[2366].start 18541.50471875
transcript.pyannote[2366].end 18544.37346875
transcript.pyannote[2367].speaker SPEAKER_10
transcript.pyannote[2367].start 18545.16659375
transcript.pyannote[2367].end 18548.79471875
transcript.pyannote[2368].speaker SPEAKER_10
transcript.pyannote[2368].start 18549.19971875
transcript.pyannote[2368].end 18572.58846875
transcript.pyannote[2369].speaker SPEAKER_10
transcript.pyannote[2369].start 18572.79096875
transcript.pyannote[2369].end 18573.22971875
transcript.pyannote[2370].speaker SPEAKER_10
transcript.pyannote[2370].start 18574.20846875
transcript.pyannote[2370].end 18582.29159375
transcript.pyannote[2371].speaker SPEAKER_10
transcript.pyannote[2371].start 18583.08471875
transcript.pyannote[2371].end 18584.68784375
transcript.pyannote[2372].speaker SPEAKER_10
transcript.pyannote[2372].start 18585.05909375
transcript.pyannote[2372].end 18591.18471875
transcript.pyannote[2373].speaker SPEAKER_10
transcript.pyannote[2373].start 18591.58971875
transcript.pyannote[2373].end 18592.09596875
transcript.pyannote[2374].speaker SPEAKER_10
transcript.pyannote[2374].start 18593.05784375
transcript.pyannote[2374].end 18595.52159375
transcript.pyannote[2375].speaker SPEAKER_10
transcript.pyannote[2375].start 18595.87596875
transcript.pyannote[2375].end 18596.17971875
transcript.pyannote[2376].speaker SPEAKER_10
transcript.pyannote[2376].start 18596.95596875
transcript.pyannote[2376].end 18601.54596875
transcript.pyannote[2377].speaker SPEAKER_10
transcript.pyannote[2377].start 18601.96784375
transcript.pyannote[2377].end 18606.54096875
transcript.pyannote[2378].speaker SPEAKER_10
transcript.pyannote[2378].start 18606.86159375
transcript.pyannote[2378].end 18610.96221875
transcript.pyannote[2379].speaker SPEAKER_10
transcript.pyannote[2379].start 18611.16471875
transcript.pyannote[2379].end 18611.92409375
transcript.pyannote[2380].speaker SPEAKER_14
transcript.pyannote[2380].start 18612.51471875
transcript.pyannote[2380].end 18618.01596875
transcript.pyannote[2381].speaker SPEAKER_14
transcript.pyannote[2381].start 18618.31971875
transcript.pyannote[2381].end 18635.83596875
transcript.pyannote[2382].speaker SPEAKER_00
transcript.pyannote[2382].start 18623.88846875
transcript.pyannote[2382].end 18625.55909375
transcript.pyannote[2383].speaker SPEAKER_10
transcript.pyannote[2383].start 18630.06471875
transcript.pyannote[2383].end 18630.43596875
transcript.pyannote[2384].speaker SPEAKER_10
transcript.pyannote[2384].start 18635.83596875
transcript.pyannote[2384].end 18642.14721875
transcript.pyannote[2385].speaker SPEAKER_14
transcript.pyannote[2385].start 18635.86971875
transcript.pyannote[2385].end 18636.22409375
transcript.pyannote[2386].speaker SPEAKER_14
transcript.pyannote[2386].start 18640.74659375
transcript.pyannote[2386].end 18641.52284375
transcript.pyannote[2387].speaker SPEAKER_10
transcript.pyannote[2387].start 18642.41721875
transcript.pyannote[2387].end 18645.35346875
transcript.pyannote[2388].speaker SPEAKER_18
transcript.pyannote[2388].start 18645.23534375
transcript.pyannote[2388].end 18648.23909375
transcript.pyannote[2389].speaker SPEAKER_18
transcript.pyannote[2389].start 18648.64409375
transcript.pyannote[2389].end 18671.10471875
transcript.pyannote[2390].speaker SPEAKER_14
transcript.pyannote[2390].start 18651.91784375
transcript.pyannote[2390].end 18651.95159375
transcript.pyannote[2391].speaker SPEAKER_29
transcript.pyannote[2391].start 18651.95159375
transcript.pyannote[2391].end 18652.50846875
transcript.pyannote[2392].speaker SPEAKER_14
transcript.pyannote[2392].start 18667.24034375
transcript.pyannote[2392].end 18668.48909375
transcript.pyannote[2393].speaker SPEAKER_14
transcript.pyannote[2393].start 18670.44659375
transcript.pyannote[2393].end 18699.62346875
transcript.pyannote[2394].speaker SPEAKER_00
transcript.pyannote[2394].start 18689.95409375
transcript.pyannote[2394].end 18690.62909375
transcript.pyannote[2395].speaker SPEAKER_14
transcript.pyannote[2395].start 18699.77534375
transcript.pyannote[2395].end 18701.88471875
transcript.pyannote[2396].speaker SPEAKER_14
transcript.pyannote[2396].start 18703.09971875
transcript.pyannote[2396].end 18703.28534375
transcript.pyannote[2397].speaker SPEAKER_30
transcript.pyannote[2397].start 18703.84221875
transcript.pyannote[2397].end 18703.94346875
transcript.pyannote[2398].speaker SPEAKER_29
transcript.pyannote[2398].start 18703.94346875
transcript.pyannote[2398].end 18704.01096875
transcript.pyannote[2399].speaker SPEAKER_14
transcript.pyannote[2399].start 18706.86284375
transcript.pyannote[2399].end 18711.65534375
transcript.pyannote[2400].speaker SPEAKER_14
transcript.pyannote[2400].start 18712.22909375
transcript.pyannote[2400].end 18730.94346875
transcript.pyannote[2401].speaker SPEAKER_14
transcript.pyannote[2401].start 18731.55096875
transcript.pyannote[2401].end 18733.60971875
transcript.pyannote[2402].speaker SPEAKER_14
transcript.pyannote[2402].start 18734.85846875
transcript.pyannote[2402].end 18735.88784375
transcript.pyannote[2403].speaker SPEAKER_29
transcript.pyannote[2403].start 18735.33096875
transcript.pyannote[2403].end 18736.52909375
transcript.pyannote[2404].speaker SPEAKER_14
transcript.pyannote[2404].start 18736.29284375
transcript.pyannote[2404].end 18738.95909375
transcript.pyannote[2405].speaker SPEAKER_14
transcript.pyannote[2405].start 18740.19096875
transcript.pyannote[2405].end 18753.67409375
transcript.pyannote[2406].speaker SPEAKER_14
transcript.pyannote[2406].start 18754.39971875
transcript.pyannote[2406].end 18757.72409375
transcript.pyannote[2407].speaker SPEAKER_14
transcript.pyannote[2407].start 18758.48346875
transcript.pyannote[2407].end 18759.00659375
transcript.pyannote[2408].speaker SPEAKER_33
transcript.pyannote[2408].start 18761.33534375
transcript.pyannote[2408].end 18762.39846875
transcript.pyannote[2409].speaker SPEAKER_14
transcript.pyannote[2409].start 18762.39846875
transcript.pyannote[2409].end 18763.47846875
transcript.pyannote[2410].speaker SPEAKER_33
transcript.pyannote[2410].start 18764.96346875
transcript.pyannote[2410].end 18765.03096875
transcript.pyannote[2411].speaker SPEAKER_33
transcript.pyannote[2411].start 18766.78596875
transcript.pyannote[2411].end 18766.87034375
transcript.pyannote[2412].speaker SPEAKER_33
transcript.pyannote[2412].start 18766.93784375
transcript.pyannote[2412].end 18767.57909375
transcript.pyannote[2413].speaker SPEAKER_33
transcript.pyannote[2413].start 18767.61284375
transcript.pyannote[2413].end 18767.62971875
transcript.pyannote[2414].speaker SPEAKER_33
transcript.pyannote[2414].start 18767.64659375
transcript.pyannote[2414].end 18767.88284375
transcript.pyannote[2415].speaker SPEAKER_38
transcript.pyannote[2415].start 18769.35096875
transcript.pyannote[2415].end 18770.66721875
transcript.pyannote[2416].speaker SPEAKER_38
transcript.pyannote[2416].start 18770.68409375
transcript.pyannote[2416].end 18770.71784375
transcript.pyannote[2417].speaker SPEAKER_39
transcript.pyannote[2417].start 18771.07221875
transcript.pyannote[2417].end 18773.13096875
transcript.pyannote[2418].speaker SPEAKER_38
transcript.pyannote[2418].start 18775.96596875
transcript.pyannote[2418].end 18776.08409375
transcript.pyannote[2419].speaker SPEAKER_38
transcript.pyannote[2419].start 18778.96971875
transcript.pyannote[2419].end 18779.03721875
transcript.pyannote[2420].speaker SPEAKER_38
transcript.pyannote[2420].start 18779.08784375
transcript.pyannote[2420].end 18779.89784375
transcript.pyannote[2421].speaker SPEAKER_38
transcript.pyannote[2421].start 18779.91471875
transcript.pyannote[2421].end 18779.93159375
transcript.pyannote[2422].speaker SPEAKER_39
transcript.pyannote[2422].start 18790.07346875
transcript.pyannote[2422].end 18790.51221875
transcript.pyannote[2423].speaker SPEAKER_39
transcript.pyannote[2423].start 18791.06909375
transcript.pyannote[2423].end 18791.13659375
transcript.pyannote[2424].speaker SPEAKER_39
transcript.pyannote[2424].start 18791.17034375
transcript.pyannote[2424].end 18792.45284375
transcript.pyannote[2425].speaker SPEAKER_38
transcript.pyannote[2425].start 18795.55784375
transcript.pyannote[2425].end 18795.77721875
transcript.pyannote[2426].speaker SPEAKER_38
transcript.pyannote[2426].start 18795.96284375
transcript.pyannote[2426].end 18796.03034375
transcript.pyannote[2427].speaker SPEAKER_38
transcript.pyannote[2427].start 18796.50284375
transcript.pyannote[2427].end 18796.51971875
transcript.pyannote[2428].speaker SPEAKER_39
transcript.pyannote[2428].start 18796.51971875
transcript.pyannote[2428].end 18799.16909375
transcript.pyannote[2429].speaker SPEAKER_38
transcript.pyannote[2429].start 18796.55346875
transcript.pyannote[2429].end 18796.84034375
transcript.pyannote[2430].speaker SPEAKER_38
transcript.pyannote[2430].start 18797.14409375
transcript.pyannote[2430].end 18797.34659375
transcript.pyannote[2431].speaker SPEAKER_38
transcript.pyannote[2431].start 18797.53221875
transcript.pyannote[2431].end 18797.61659375
transcript.pyannote[2432].speaker SPEAKER_38
transcript.pyannote[2432].start 18797.97096875
transcript.pyannote[2432].end 18798.27471875
transcript.pyannote[2433].speaker SPEAKER_38
transcript.pyannote[2433].start 18799.01721875
transcript.pyannote[2433].end 18799.03409375
transcript.pyannote[2434].speaker SPEAKER_38
transcript.pyannote[2434].start 18799.16909375
transcript.pyannote[2434].end 18799.23659375
transcript.pyannote[2435].speaker SPEAKER_38
transcript.pyannote[2435].start 18799.25346875
transcript.pyannote[2435].end 18800.11409375
transcript.pyannote[2436].speaker SPEAKER_33
transcript.pyannote[2436].start 18800.11409375
transcript.pyannote[2436].end 18800.38409375
transcript.pyannote[2437].speaker SPEAKER_38
transcript.pyannote[2437].start 18800.38409375
transcript.pyannote[2437].end 18801.24471875
transcript.pyannote[2438].speaker SPEAKER_33
transcript.pyannote[2438].start 18801.24471875
transcript.pyannote[2438].end 18801.48096875
transcript.pyannote[2439].speaker SPEAKER_38
transcript.pyannote[2439].start 18801.48096875
transcript.pyannote[2439].end 18801.59909375
transcript.pyannote[2440].speaker SPEAKER_39
transcript.pyannote[2440].start 18801.59909375
transcript.pyannote[2440].end 18802.96596875
transcript.pyannote[2441].speaker SPEAKER_38
transcript.pyannote[2441].start 18801.83534375
transcript.pyannote[2441].end 18802.03784375
transcript.pyannote[2442].speaker SPEAKER_09
transcript.pyannote[2442].start 18802.03784375
transcript.pyannote[2442].end 18802.40909375
transcript.pyannote[2443].speaker SPEAKER_38
transcript.pyannote[2443].start 18802.40909375
transcript.pyannote[2443].end 18802.54409375
transcript.pyannote[2444].speaker SPEAKER_38
transcript.pyannote[2444].start 18802.96596875
transcript.pyannote[2444].end 18803.03346875
transcript.pyannote[2445].speaker SPEAKER_38
transcript.pyannote[2445].start 18803.37096875
transcript.pyannote[2445].end 18803.57346875
transcript.pyannote[2446].speaker SPEAKER_38
transcript.pyannote[2446].start 18803.77596875
transcript.pyannote[2446].end 18803.80971875
transcript.pyannote[2447].speaker SPEAKER_38
transcript.pyannote[2447].start 18810.47534375
transcript.pyannote[2447].end 18811.15034375
transcript.pyannote[2448].speaker SPEAKER_39
transcript.pyannote[2448].start 18811.15034375
transcript.pyannote[2448].end 18811.57221875
transcript.pyannote[2449].speaker SPEAKER_29
transcript.pyannote[2449].start 18811.57221875
transcript.pyannote[2449].end 18812.14596875
transcript.pyannote[2450].speaker SPEAKER_38
transcript.pyannote[2450].start 18812.14596875
transcript.pyannote[2450].end 18813.96846875
transcript.pyannote[2451].speaker SPEAKER_05
transcript.pyannote[2451].start 18813.96846875
transcript.pyannote[2451].end 18818.45721875
transcript.pyannote[2452].speaker SPEAKER_00
transcript.pyannote[2452].start 18819.60471875
transcript.pyannote[2452].end 18819.62159375
transcript.pyannote[2453].speaker SPEAKER_05
transcript.pyannote[2453].start 18819.62159375
transcript.pyannote[2453].end 18820.88721875
transcript.pyannote[2454].speaker SPEAKER_00
transcript.pyannote[2454].start 18820.88721875
transcript.pyannote[2454].end 18820.95471875
transcript.pyannote[2455].speaker SPEAKER_05
transcript.pyannote[2455].start 18820.95471875
transcript.pyannote[2455].end 18820.97159375
transcript.pyannote[2456].speaker SPEAKER_00
transcript.pyannote[2456].start 18820.97159375
transcript.pyannote[2456].end 18821.02221875
transcript.pyannote[2457].speaker SPEAKER_05
transcript.pyannote[2457].start 18821.02221875
transcript.pyannote[2457].end 18821.10659375
transcript.pyannote[2458].speaker SPEAKER_00
transcript.pyannote[2458].start 18823.62096875
transcript.pyannote[2458].end 18825.62909375
transcript.pyannote[2459].speaker SPEAKER_00
transcript.pyannote[2459].start 18827.35034375
transcript.pyannote[2459].end 18827.82284375
transcript.pyannote[2460].speaker SPEAKER_34
transcript.pyannote[2460].start 18827.82284375
transcript.pyannote[2460].end 18828.56534375
transcript.pyannote[2461].speaker SPEAKER_38
transcript.pyannote[2461].start 18829.96596875
transcript.pyannote[2461].end 18831.45096875
transcript.pyannote[2462].speaker SPEAKER_05
transcript.pyannote[2462].start 18831.45096875
transcript.pyannote[2462].end 18831.48471875
transcript.pyannote[2463].speaker SPEAKER_05
transcript.pyannote[2463].start 18831.70409375
transcript.pyannote[2463].end 18832.86846875
transcript.pyannote[2464].speaker SPEAKER_38
transcript.pyannote[2464].start 18832.86846875
transcript.pyannote[2464].end 18834.04971875
transcript.pyannote[2465].speaker SPEAKER_05
transcript.pyannote[2465].start 18834.04971875
transcript.pyannote[2465].end 18835.21409375
transcript.pyannote[2466].speaker SPEAKER_39
transcript.pyannote[2466].start 18835.82159375
transcript.pyannote[2466].end 18836.91846875
transcript.pyannote[2467].speaker SPEAKER_38
transcript.pyannote[2467].start 18836.91846875
transcript.pyannote[2467].end 18837.93096875
transcript.pyannote[2468].speaker SPEAKER_39
transcript.pyannote[2468].start 18837.96471875
transcript.pyannote[2468].end 18838.01534375
transcript.pyannote[2469].speaker SPEAKER_38
transcript.pyannote[2469].start 18838.01534375
transcript.pyannote[2469].end 18838.06596875
transcript.pyannote[2470].speaker SPEAKER_33
transcript.pyannote[2470].start 18838.06596875
transcript.pyannote[2470].end 18840.63096875
transcript.pyannote[2471].speaker SPEAKER_38
transcript.pyannote[2471].start 18838.18409375
transcript.pyannote[2471].end 18838.99409375
transcript.pyannote[2472].speaker SPEAKER_38
transcript.pyannote[2472].start 18839.23034375
transcript.pyannote[2472].end 18839.53409375
transcript.pyannote[2473].speaker SPEAKER_39
transcript.pyannote[2473].start 18840.64784375
transcript.pyannote[2473].end 18843.19596875
transcript.pyannote[2474].speaker SPEAKER_33
transcript.pyannote[2474].start 18842.31846875
transcript.pyannote[2474].end 18844.57971875
transcript.pyannote[2475].speaker SPEAKER_39
transcript.pyannote[2475].start 18845.05221875
transcript.pyannote[2475].end 18846.89159375
transcript.pyannote[2476].speaker SPEAKER_38
transcript.pyannote[2476].start 18847.24596875
transcript.pyannote[2476].end 18848.78159375
transcript.pyannote[2477].speaker SPEAKER_38
transcript.pyannote[2477].start 18848.86596875
transcript.pyannote[2477].end 18849.81096875
transcript.pyannote[2478].speaker SPEAKER_39
transcript.pyannote[2478].start 18849.81096875
transcript.pyannote[2478].end 18849.89534375
transcript.pyannote[2479].speaker SPEAKER_38
transcript.pyannote[2479].start 18849.89534375
transcript.pyannote[2479].end 18851.34659375
transcript.pyannote[2480].speaker SPEAKER_05
transcript.pyannote[2480].start 18851.34659375
transcript.pyannote[2480].end 18851.36346875
transcript.pyannote[2481].speaker SPEAKER_38
transcript.pyannote[2481].start 18851.36346875
transcript.pyannote[2481].end 18851.97096875
transcript.pyannote[2482].speaker SPEAKER_05
transcript.pyannote[2482].start 18851.97096875
transcript.pyannote[2482].end 18852.32534375
transcript.pyannote[2483].speaker SPEAKER_38
transcript.pyannote[2483].start 18852.32534375
transcript.pyannote[2483].end 18852.34221875
transcript.pyannote[2484].speaker SPEAKER_05
transcript.pyannote[2484].start 18852.34221875
transcript.pyannote[2484].end 18852.35909375
transcript.pyannote[2485].speaker SPEAKER_38
transcript.pyannote[2485].start 18852.35909375
transcript.pyannote[2485].end 18852.42659375
transcript.pyannote[2486].speaker SPEAKER_05
transcript.pyannote[2486].start 18852.42659375
transcript.pyannote[2486].end 18852.81471875
transcript.pyannote[2487].speaker SPEAKER_38
transcript.pyannote[2487].start 18852.81471875
transcript.pyannote[2487].end 18854.95784375
transcript.pyannote[2488].speaker SPEAKER_05
transcript.pyannote[2488].start 18853.13534375
transcript.pyannote[2488].end 18853.27034375
transcript.pyannote[2489].speaker SPEAKER_33
transcript.pyannote[2489].start 18853.27034375
transcript.pyannote[2489].end 18854.09721875
transcript.pyannote[2490].speaker SPEAKER_05
transcript.pyannote[2490].start 18854.09721875
transcript.pyannote[2490].end 18854.21534375
transcript.pyannote[2491].speaker SPEAKER_05
transcript.pyannote[2491].start 18854.62034375
transcript.pyannote[2491].end 18854.65409375
transcript.pyannote[2492].speaker SPEAKER_33
transcript.pyannote[2492].start 18854.65409375
transcript.pyannote[2492].end 18860.45909375
transcript.pyannote[2493].speaker SPEAKER_38
transcript.pyannote[2493].start 18854.97471875
transcript.pyannote[2493].end 18855.12659375
transcript.pyannote[2494].speaker SPEAKER_33
transcript.pyannote[2494].start 18861.69096875
transcript.pyannote[2494].end 18861.75846875
transcript.pyannote[2495].speaker SPEAKER_37
transcript.pyannote[2495].start 18861.75846875
transcript.pyannote[2495].end 18863.02409375
transcript.pyannote[2496].speaker SPEAKER_00
transcript.pyannote[2496].start 18862.24784375
transcript.pyannote[2496].end 18862.33221875
transcript.pyannote[2497].speaker SPEAKER_33
transcript.pyannote[2497].start 18863.27721875
transcript.pyannote[2497].end 18863.64846875
transcript.pyannote[2498].speaker SPEAKER_00
transcript.pyannote[2498].start 18863.64846875
transcript.pyannote[2498].end 18863.76659375
transcript.pyannote[2499].speaker SPEAKER_33
transcript.pyannote[2499].start 18863.76659375
transcript.pyannote[2499].end 18863.96909375
transcript.pyannote[2500].speaker SPEAKER_00
transcript.pyannote[2500].start 18863.96909375
transcript.pyannote[2500].end 18864.12096875
transcript.pyannote[2501].speaker SPEAKER_37
transcript.pyannote[2501].start 18864.12096875
transcript.pyannote[2501].end 18864.67784375
transcript.pyannote[2502].speaker SPEAKER_00
transcript.pyannote[2502].start 18864.67784375
transcript.pyannote[2502].end 18865.90971875
transcript.pyannote[2503].speaker SPEAKER_00
transcript.pyannote[2503].start 18866.28096875
transcript.pyannote[2503].end 18866.29784375
transcript.pyannote[2504].speaker SPEAKER_00
transcript.pyannote[2504].start 18866.51721875
transcript.pyannote[2504].end 18866.65221875
transcript.pyannote[2505].speaker SPEAKER_00
transcript.pyannote[2505].start 18866.87159375
transcript.pyannote[2505].end 18868.71096875
transcript.pyannote[2506].speaker SPEAKER_00
transcript.pyannote[2506].start 18868.96409375
transcript.pyannote[2506].end 18869.82471875
transcript.pyannote[2507].speaker SPEAKER_00
transcript.pyannote[2507].start 18869.97659375
transcript.pyannote[2507].end 18870.02721875
transcript.pyannote[2508].speaker SPEAKER_00
transcript.pyannote[2508].start 18872.08596875
transcript.pyannote[2508].end 18873.13221875
transcript.pyannote[2509].speaker SPEAKER_39
transcript.pyannote[2509].start 18873.13221875
transcript.pyannote[2509].end 18874.44846875
transcript.pyannote[2510].speaker SPEAKER_00
transcript.pyannote[2510].start 18874.44846875
transcript.pyannote[2510].end 18874.60034375
transcript.pyannote[2511].speaker SPEAKER_00
transcript.pyannote[2511].start 18874.97159375
transcript.pyannote[2511].end 18875.05596875
transcript.pyannote[2512].speaker SPEAKER_00
transcript.pyannote[2512].start 18875.25846875
transcript.pyannote[2512].end 18875.27534375
transcript.pyannote[2513].speaker SPEAKER_14
transcript.pyannote[2513].start 18875.32596875
transcript.pyannote[2513].end 18877.90784375
transcript.pyannote[2514].speaker SPEAKER_14
transcript.pyannote[2514].start 18878.65034375
transcript.pyannote[2514].end 18887.69534375
transcript.pyannote[2515].speaker SPEAKER_14
transcript.pyannote[2515].start 18888.77534375
transcript.pyannote[2515].end 18889.70346875
transcript.pyannote[2516].speaker SPEAKER_39
transcript.pyannote[2516].start 18889.70346875
transcript.pyannote[2516].end 18889.80471875
transcript.pyannote[2517].speaker SPEAKER_39
transcript.pyannote[2517].start 18890.02409375
transcript.pyannote[2517].end 18890.44596875
transcript.pyannote[2518].speaker SPEAKER_39
transcript.pyannote[2518].start 18890.96909375
transcript.pyannote[2518].end 18893.58471875
transcript.pyannote[2519].speaker SPEAKER_39
transcript.pyannote[2519].start 18893.71971875
transcript.pyannote[2519].end 18898.36034375
transcript.pyannote[2520].speaker SPEAKER_39
transcript.pyannote[2520].start 18898.71471875
transcript.pyannote[2520].end 18901.71846875
transcript.pyannote[2521].speaker SPEAKER_39
transcript.pyannote[2521].start 18901.76909375
transcript.pyannote[2521].end 18904.08096875
transcript.pyannote[2522].speaker SPEAKER_30
transcript.pyannote[2522].start 18902.47784375
transcript.pyannote[2522].end 18902.69721875
transcript.pyannote[2523].speaker SPEAKER_20
transcript.pyannote[2523].start 18902.69721875
transcript.pyannote[2523].end 18902.71409375
transcript.pyannote[2524].speaker SPEAKER_30
transcript.pyannote[2524].start 18902.71409375
transcript.pyannote[2524].end 18902.86596875
transcript.pyannote[2525].speaker SPEAKER_20
transcript.pyannote[2525].start 18902.86596875
transcript.pyannote[2525].end 18903.00096875
transcript.pyannote[2526].speaker SPEAKER_39
transcript.pyannote[2526].start 18904.57034375
transcript.pyannote[2526].end 18904.97534375
transcript.pyannote[2527].speaker SPEAKER_20
transcript.pyannote[2527].start 18904.62096875
transcript.pyannote[2527].end 18906.96659375
transcript.pyannote[2528].speaker SPEAKER_39
transcript.pyannote[2528].start 18905.83596875
transcript.pyannote[2528].end 18908.16471875
transcript.pyannote[2529].speaker SPEAKER_14
transcript.pyannote[2529].start 18906.96659375
transcript.pyannote[2529].end 18907.86096875
transcript.pyannote[2530].speaker SPEAKER_20
transcript.pyannote[2530].start 18907.86096875
transcript.pyannote[2530].end 18907.89471875
transcript.pyannote[2531].speaker SPEAKER_39
transcript.pyannote[2531].start 18908.53596875
transcript.pyannote[2531].end 18912.06284375
transcript.pyannote[2532].speaker SPEAKER_39
transcript.pyannote[2532].start 18912.23159375
transcript.pyannote[2532].end 18913.90221875
transcript.pyannote[2533].speaker SPEAKER_14
transcript.pyannote[2533].start 18912.80534375
transcript.pyannote[2533].end 18915.77534375
transcript.pyannote[2534].speaker SPEAKER_14
transcript.pyannote[2534].start 18916.36596875
transcript.pyannote[2534].end 18917.32784375
transcript.pyannote[2535].speaker SPEAKER_14
transcript.pyannote[2535].start 18917.88471875
transcript.pyannote[2535].end 18921.14159375
transcript.pyannote[2536].speaker SPEAKER_14
transcript.pyannote[2536].start 18921.96846875
transcript.pyannote[2536].end 18925.49534375
transcript.pyannote[2537].speaker SPEAKER_14
transcript.pyannote[2537].start 18926.62596875
transcript.pyannote[2537].end 18928.24596875
transcript.pyannote[2538].speaker SPEAKER_33
transcript.pyannote[2538].start 18929.25846875
transcript.pyannote[2538].end 18931.14846875
transcript.pyannote[2539].speaker SPEAKER_14
transcript.pyannote[2539].start 18930.01784375
transcript.pyannote[2539].end 18932.07659375
transcript.pyannote[2540].speaker SPEAKER_33
transcript.pyannote[2540].start 18931.65471875
transcript.pyannote[2540].end 18932.00909375
transcript.pyannote[2541].speaker SPEAKER_33
transcript.pyannote[2541].start 18932.07659375
transcript.pyannote[2541].end 18932.16096875
transcript.pyannote[2542].speaker SPEAKER_33
transcript.pyannote[2542].start 18932.22846875
transcript.pyannote[2542].end 18933.86534375
transcript.pyannote[2543].speaker SPEAKER_29
transcript.pyannote[2543].start 18933.96659375
transcript.pyannote[2543].end 18934.77659375
transcript.pyannote[2544].speaker SPEAKER_14
transcript.pyannote[2544].start 18935.60346875
transcript.pyannote[2544].end 18937.88159375
transcript.pyannote[2545].speaker SPEAKER_14
transcript.pyannote[2545].start 18937.93221875
transcript.pyannote[2545].end 18938.67471875
transcript.pyannote[2546].speaker SPEAKER_29
transcript.pyannote[2546].start 18938.67471875
transcript.pyannote[2546].end 18939.01221875
transcript.pyannote[2547].speaker SPEAKER_37
transcript.pyannote[2547].start 18939.01221875
transcript.pyannote[2547].end 18939.11346875
transcript.pyannote[2548].speaker SPEAKER_29
transcript.pyannote[2548].start 18939.11346875
transcript.pyannote[2548].end 18939.14721875
transcript.pyannote[2549].speaker SPEAKER_14
transcript.pyannote[2549].start 18939.14721875
transcript.pyannote[2549].end 18942.52221875
transcript.pyannote[2550].speaker SPEAKER_29
transcript.pyannote[2550].start 18939.29909375
transcript.pyannote[2550].end 18939.67034375
transcript.pyannote[2551].speaker SPEAKER_14
transcript.pyannote[2551].start 18943.21409375
transcript.pyannote[2551].end 18955.16159375
transcript.pyannote[2552].speaker SPEAKER_37
transcript.pyannote[2552].start 18944.74971875
transcript.pyannote[2552].end 18945.44159375
transcript.pyannote[2553].speaker SPEAKER_37
transcript.pyannote[2553].start 18945.88034375
transcript.pyannote[2553].end 18947.34846875
transcript.pyannote[2554].speaker SPEAKER_14
transcript.pyannote[2554].start 18955.93784375
transcript.pyannote[2554].end 18956.98409375
transcript.pyannote[2555].speaker SPEAKER_14
transcript.pyannote[2555].start 18958.70534375
transcript.pyannote[2555].end 18967.36221875
transcript.pyannote[2556].speaker SPEAKER_14
transcript.pyannote[2556].start 18967.88534375
transcript.pyannote[2556].end 18971.12534375
transcript.pyannote[2557].speaker SPEAKER_13
transcript.pyannote[2557].start 18971.12534375
transcript.pyannote[2557].end 18971.19284375
transcript.pyannote[2558].speaker SPEAKER_14
transcript.pyannote[2558].start 18971.19284375
transcript.pyannote[2558].end 18971.27721875
transcript.pyannote[2559].speaker SPEAKER_13
transcript.pyannote[2559].start 18971.27721875
transcript.pyannote[2559].end 18971.41221875
transcript.pyannote[2560].speaker SPEAKER_14
transcript.pyannote[2560].start 18971.41221875
transcript.pyannote[2560].end 18971.46284375
transcript.pyannote[2561].speaker SPEAKER_13
transcript.pyannote[2561].start 18971.46284375
transcript.pyannote[2561].end 18971.47971875
transcript.pyannote[2562].speaker SPEAKER_14
transcript.pyannote[2562].start 18971.47971875
transcript.pyannote[2562].end 18971.53034375
transcript.pyannote[2563].speaker SPEAKER_13
transcript.pyannote[2563].start 18971.53034375
transcript.pyannote[2563].end 18996.35346875
transcript.pyannote[2564].speaker SPEAKER_14
transcript.pyannote[2564].start 18998.10846875
transcript.pyannote[2564].end 19001.06159375
transcript.pyannote[2565].speaker SPEAKER_18
transcript.pyannote[2565].start 19001.06159375
transcript.pyannote[2565].end 19031.47034375
transcript.pyannote[2566].speaker SPEAKER_18
transcript.pyannote[2566].start 19031.92596875
transcript.pyannote[2566].end 19038.96284375
transcript.pyannote[2567].speaker SPEAKER_14
transcript.pyannote[2567].start 19040.05971875
transcript.pyannote[2567].end 19046.91096875
transcript.pyannote[2568].speaker SPEAKER_04
transcript.pyannote[2568].start 19051.66971875
transcript.pyannote[2568].end 19057.18784375
transcript.pyannote[2569].speaker SPEAKER_04
transcript.pyannote[2569].start 19057.49159375
transcript.pyannote[2569].end 19058.21721875
transcript.pyannote[2570].speaker SPEAKER_04
transcript.pyannote[2570].start 19058.62221875
transcript.pyannote[2570].end 19059.63471875
transcript.pyannote[2571].speaker SPEAKER_04
transcript.pyannote[2571].start 19060.46159375
transcript.pyannote[2571].end 19061.42346875
transcript.pyannote[2572].speaker SPEAKER_04
transcript.pyannote[2572].start 19061.44034375
transcript.pyannote[2572].end 19064.02221875
transcript.pyannote[2573].speaker SPEAKER_04
transcript.pyannote[2573].start 19064.25846875
transcript.pyannote[2573].end 19066.99221875
transcript.pyannote[2574].speaker SPEAKER_04
transcript.pyannote[2574].start 19067.24534375
transcript.pyannote[2574].end 19068.34221875
transcript.pyannote[2575].speaker SPEAKER_04
transcript.pyannote[2575].start 19068.74721875
transcript.pyannote[2575].end 19073.08409375
transcript.pyannote[2576].speaker SPEAKER_04
transcript.pyannote[2576].start 19073.52284375
transcript.pyannote[2576].end 19076.29034375
transcript.pyannote[2577].speaker SPEAKER_04
transcript.pyannote[2577].start 19076.56034375
transcript.pyannote[2577].end 19080.96471875
transcript.pyannote[2578].speaker SPEAKER_04
transcript.pyannote[2578].start 19081.13346875
transcript.pyannote[2578].end 19082.33159375
transcript.pyannote[2579].speaker SPEAKER_04
transcript.pyannote[2579].start 19083.04034375
transcript.pyannote[2579].end 19090.26284375
transcript.pyannote[2580].speaker SPEAKER_04
transcript.pyannote[2580].start 19090.54971875
transcript.pyannote[2580].end 19094.39721875
transcript.pyannote[2581].speaker SPEAKER_04
transcript.pyannote[2581].start 19094.61659375
transcript.pyannote[2581].end 19099.24034375
transcript.pyannote[2582].speaker SPEAKER_04
transcript.pyannote[2582].start 19099.64534375
transcript.pyannote[2582].end 19101.53534375
transcript.pyannote[2583].speaker SPEAKER_04
transcript.pyannote[2583].start 19102.04159375
transcript.pyannote[2583].end 19111.99784375
transcript.pyannote[2584].speaker SPEAKER_04
transcript.pyannote[2584].start 19112.35221875
transcript.pyannote[2584].end 19113.85409375
transcript.pyannote[2585].speaker SPEAKER_04
transcript.pyannote[2585].start 19114.32659375
transcript.pyannote[2585].end 19118.83221875
transcript.pyannote[2586].speaker SPEAKER_04
transcript.pyannote[2586].start 19119.10221875
transcript.pyannote[2586].end 19124.67096875
transcript.pyannote[2587].speaker SPEAKER_04
transcript.pyannote[2587].start 19124.92409375
transcript.pyannote[2587].end 19125.90284375
transcript.pyannote[2588].speaker SPEAKER_04
transcript.pyannote[2588].start 19126.15596875
transcript.pyannote[2588].end 19132.45034375
transcript.pyannote[2589].speaker SPEAKER_04
transcript.pyannote[2589].start 19132.99034375
transcript.pyannote[2589].end 19136.58471875
transcript.pyannote[2590].speaker SPEAKER_04
transcript.pyannote[2590].start 19137.51284375
transcript.pyannote[2590].end 19138.37346875
transcript.pyannote[2591].speaker SPEAKER_04
transcript.pyannote[2591].start 19138.84596875
transcript.pyannote[2591].end 19147.97534375
transcript.pyannote[2592].speaker SPEAKER_04
transcript.pyannote[2592].start 19149.02159375
transcript.pyannote[2592].end 19152.93659375
transcript.pyannote[2593].speaker SPEAKER_04
transcript.pyannote[2593].start 19153.17284375
transcript.pyannote[2593].end 19154.40471875
transcript.pyannote[2594].speaker SPEAKER_04
transcript.pyannote[2594].start 19155.14721875
transcript.pyannote[2594].end 19159.19721875
transcript.pyannote[2595].speaker SPEAKER_09
transcript.pyannote[2595].start 19162.47096875
transcript.pyannote[2595].end 19225.78596875
transcript.pyannote[2596].speaker SPEAKER_09
transcript.pyannote[2596].start 19226.74784375
transcript.pyannote[2596].end 19226.86596875
transcript.pyannote[2597].speaker SPEAKER_14
transcript.pyannote[2597].start 19226.86596875
transcript.pyannote[2597].end 19226.89971875
transcript.pyannote[2598].speaker SPEAKER_33
transcript.pyannote[2598].start 19227.81096875
transcript.pyannote[2598].end 19228.80659375
transcript.pyannote[2599].speaker SPEAKER_09
transcript.pyannote[2599].start 19228.75596875
transcript.pyannote[2599].end 19228.78971875
transcript.pyannote[2600].speaker SPEAKER_14
transcript.pyannote[2600].start 19228.80659375
transcript.pyannote[2600].end 19231.38846875
transcript.pyannote[2601].speaker SPEAKER_33
transcript.pyannote[2601].start 19228.84034375
transcript.pyannote[2601].end 19230.86534375
transcript.pyannote[2602].speaker SPEAKER_14
transcript.pyannote[2602].start 19232.21534375
transcript.pyannote[2602].end 19241.32784375
transcript.pyannote[2603].speaker SPEAKER_14
transcript.pyannote[2603].start 19241.69909375
transcript.pyannote[2603].end 19248.41534375
transcript.pyannote[2604].speaker SPEAKER_14
transcript.pyannote[2604].start 19248.93846875
transcript.pyannote[2604].end 19249.34346875
transcript.pyannote[2605].speaker SPEAKER_13
transcript.pyannote[2605].start 19249.34346875
transcript.pyannote[2605].end 19249.36034375
transcript.pyannote[2606].speaker SPEAKER_14
transcript.pyannote[2606].start 19249.69784375
transcript.pyannote[2606].end 19250.00159375
transcript.pyannote[2607].speaker SPEAKER_13
transcript.pyannote[2607].start 19250.00159375
transcript.pyannote[2607].end 19250.03534375
transcript.pyannote[2608].speaker SPEAKER_13
transcript.pyannote[2608].start 19250.32221875
transcript.pyannote[2608].end 19250.33909375
transcript.pyannote[2609].speaker SPEAKER_14
transcript.pyannote[2609].start 19250.33909375
transcript.pyannote[2609].end 19250.37284375
transcript.pyannote[2610].speaker SPEAKER_13
transcript.pyannote[2610].start 19250.37284375
transcript.pyannote[2610].end 19250.79471875
transcript.pyannote[2611].speaker SPEAKER_13
transcript.pyannote[2611].start 19251.60471875
transcript.pyannote[2611].end 19252.97159375
transcript.pyannote[2612].speaker SPEAKER_13
transcript.pyannote[2612].start 19253.84909375
transcript.pyannote[2612].end 19260.93659375
transcript.pyannote[2613].speaker SPEAKER_13
transcript.pyannote[2613].start 19260.97034375
transcript.pyannote[2613].end 19261.03784375
transcript.pyannote[2614].speaker SPEAKER_13
transcript.pyannote[2614].start 19261.18971875
transcript.pyannote[2614].end 19272.52971875
transcript.pyannote[2615].speaker SPEAKER_13
transcript.pyannote[2615].start 19272.76596875
transcript.pyannote[2615].end 19273.44096875
transcript.pyannote[2616].speaker SPEAKER_13
transcript.pyannote[2616].start 19273.99784375
transcript.pyannote[2616].end 19285.86096875
transcript.pyannote[2617].speaker SPEAKER_13
transcript.pyannote[2617].start 19285.87784375
transcript.pyannote[2617].end 19285.91159375
transcript.pyannote[2618].speaker SPEAKER_14
transcript.pyannote[2618].start 19285.91159375
transcript.pyannote[2618].end 19287.27846875
transcript.pyannote[2619].speaker SPEAKER_13
transcript.pyannote[2619].start 19287.85221875
transcript.pyannote[2619].end 19288.83096875
transcript.pyannote[2620].speaker SPEAKER_14
transcript.pyannote[2620].start 19289.01659375
transcript.pyannote[2620].end 19290.97409375
transcript.pyannote[2621].speaker SPEAKER_13
transcript.pyannote[2621].start 19289.97846875
transcript.pyannote[2621].end 19290.88971875
transcript.pyannote[2622].speaker SPEAKER_14
transcript.pyannote[2622].start 19291.32846875
transcript.pyannote[2622].end 19297.89284375
transcript.pyannote[2623].speaker SPEAKER_13
transcript.pyannote[2623].start 19291.68284375
transcript.pyannote[2623].end 19293.13409375
transcript.pyannote[2624].speaker SPEAKER_14
transcript.pyannote[2624].start 19298.61846875
transcript.pyannote[2624].end 19299.02346875
transcript.pyannote[2625].speaker SPEAKER_37
transcript.pyannote[2625].start 19299.02346875
transcript.pyannote[2625].end 19299.47909375
transcript.pyannote[2626].speaker SPEAKER_37
transcript.pyannote[2626].start 19300.13721875
transcript.pyannote[2626].end 19301.77409375
transcript.pyannote[2627].speaker SPEAKER_37
transcript.pyannote[2627].start 19302.14534375
transcript.pyannote[2627].end 19304.18721875
transcript.pyannote[2628].speaker SPEAKER_14
transcript.pyannote[2628].start 19305.30096875
transcript.pyannote[2628].end 19313.18159375
transcript.pyannote[2629].speaker SPEAKER_37
transcript.pyannote[2629].start 19306.49909375
transcript.pyannote[2629].end 19307.03909375
transcript.pyannote[2630].speaker SPEAKER_08
transcript.pyannote[2630].start 19307.03909375
transcript.pyannote[2630].end 19307.08971875
transcript.pyannote[2631].speaker SPEAKER_37
transcript.pyannote[2631].start 19308.01784375
transcript.pyannote[2631].end 19308.05159375
transcript.pyannote[2632].speaker SPEAKER_08
transcript.pyannote[2632].start 19308.05159375
transcript.pyannote[2632].end 19308.06846875
transcript.pyannote[2633].speaker SPEAKER_37
transcript.pyannote[2633].start 19308.06846875
transcript.pyannote[2633].end 19308.62534375
transcript.pyannote[2634].speaker SPEAKER_37
transcript.pyannote[2634].start 19309.40159375
transcript.pyannote[2634].end 19309.53659375
transcript.pyannote[2635].speaker SPEAKER_08
transcript.pyannote[2635].start 19309.53659375
transcript.pyannote[2635].end 19311.86534375
transcript.pyannote[2636].speaker SPEAKER_00
transcript.pyannote[2636].start 19311.86534375
transcript.pyannote[2636].end 19311.88221875
transcript.pyannote[2637].speaker SPEAKER_14
transcript.pyannote[2637].start 19313.63721875
transcript.pyannote[2637].end 19319.96534375
transcript.pyannote[2638].speaker SPEAKER_14
transcript.pyannote[2638].start 19320.60659375
transcript.pyannote[2638].end 19325.12909375
transcript.pyannote[2639].speaker SPEAKER_37
transcript.pyannote[2639].start 19321.02846875
transcript.pyannote[2639].end 19322.20971875
transcript.pyannote[2640].speaker SPEAKER_37
transcript.pyannote[2640].start 19323.84659375
transcript.pyannote[2640].end 19325.98971875
transcript.pyannote[2641].speaker SPEAKER_37
transcript.pyannote[2641].start 19326.49596875
transcript.pyannote[2641].end 19327.00221875
transcript.pyannote[2642].speaker SPEAKER_37
transcript.pyannote[2642].start 19328.04846875
transcript.pyannote[2642].end 19329.22971875
transcript.pyannote[2643].speaker SPEAKER_37
transcript.pyannote[2643].start 19330.17471875
transcript.pyannote[2643].end 19332.97596875
transcript.pyannote[2644].speaker SPEAKER_14
transcript.pyannote[2644].start 19332.97596875
transcript.pyannote[2644].end 19337.80221875
transcript.pyannote[2645].speaker SPEAKER_37
transcript.pyannote[2645].start 19334.47784375
transcript.pyannote[2645].end 19335.84471875
transcript.pyannote[2646].speaker SPEAKER_18
transcript.pyannote[2646].start 19335.84471875
transcript.pyannote[2646].end 19335.86159375
transcript.pyannote[2647].speaker SPEAKER_37
transcript.pyannote[2647].start 19335.86159375
transcript.pyannote[2647].end 19335.89534375
transcript.pyannote[2648].speaker SPEAKER_14
transcript.pyannote[2648].start 19338.29159375
transcript.pyannote[2648].end 19345.19346875
transcript.pyannote[2649].speaker SPEAKER_18
transcript.pyannote[2649].start 19342.17284375
transcript.pyannote[2649].end 19342.18971875
transcript.pyannote[2650].speaker SPEAKER_33
transcript.pyannote[2650].start 19342.18971875
transcript.pyannote[2650].end 19342.61159375
transcript.pyannote[2651].speaker SPEAKER_14
transcript.pyannote[2651].start 19345.41284375
transcript.pyannote[2651].end 19346.30721875
transcript.pyannote[2652].speaker SPEAKER_33
transcript.pyannote[2652].start 19345.91909375
transcript.pyannote[2652].end 19347.20159375
transcript.pyannote[2653].speaker SPEAKER_14
transcript.pyannote[2653].start 19348.36596875
transcript.pyannote[2653].end 19348.60221875
transcript.pyannote[2654].speaker SPEAKER_14
transcript.pyannote[2654].start 19349.05784375
transcript.pyannote[2654].end 19349.27721875
transcript.pyannote[2655].speaker SPEAKER_25
transcript.pyannote[2655].start 19349.27721875
transcript.pyannote[2655].end 19354.55909375
transcript.pyannote[2656].speaker SPEAKER_25
transcript.pyannote[2656].start 19354.89659375
transcript.pyannote[2656].end 19359.60471875
transcript.pyannote[2657].speaker SPEAKER_37
transcript.pyannote[2657].start 19359.33471875
transcript.pyannote[2657].end 19359.46971875
transcript.pyannote[2658].speaker SPEAKER_37
transcript.pyannote[2658].start 19359.60471875
transcript.pyannote[2658].end 19359.63846875
transcript.pyannote[2659].speaker SPEAKER_37
transcript.pyannote[2659].start 19361.59596875
transcript.pyannote[2659].end 19361.76471875
transcript.pyannote[2660].speaker SPEAKER_37
transcript.pyannote[2660].start 19362.94596875
transcript.pyannote[2660].end 19363.40159375
transcript.pyannote[2661].speaker SPEAKER_37
transcript.pyannote[2661].start 19364.61659375
transcript.pyannote[2661].end 19365.03846875
transcript.pyannote[2662].speaker SPEAKER_37
transcript.pyannote[2662].start 19368.04221875
transcript.pyannote[2662].end 19368.05909375
transcript.pyannote[2663].speaker SPEAKER_39
transcript.pyannote[2663].start 19368.05909375
transcript.pyannote[2663].end 19369.74659375
transcript.pyannote[2664].speaker SPEAKER_37
transcript.pyannote[2664].start 19368.48096875
transcript.pyannote[2664].end 19368.97034375
transcript.pyannote[2665].speaker SPEAKER_30
transcript.pyannote[2665].start 19368.97034375
transcript.pyannote[2665].end 19369.15596875
transcript.pyannote[2666].speaker SPEAKER_37
transcript.pyannote[2666].start 19369.74659375
transcript.pyannote[2666].end 19369.84784375
transcript.pyannote[2667].speaker SPEAKER_30
transcript.pyannote[2667].start 19370.01659375
transcript.pyannote[2667].end 19370.03346875
transcript.pyannote[2668].speaker SPEAKER_09
transcript.pyannote[2668].start 19370.03346875
transcript.pyannote[2668].end 19372.59846875
transcript.pyannote[2669].speaker SPEAKER_39
transcript.pyannote[2669].start 19371.94034375
transcript.pyannote[2669].end 19371.97409375
transcript.pyannote[2670].speaker SPEAKER_39
transcript.pyannote[2670].start 19372.61534375
transcript.pyannote[2670].end 19373.07096875
transcript.pyannote[2671].speaker SPEAKER_09
transcript.pyannote[2671].start 19373.07096875
transcript.pyannote[2671].end 19399.19346875
transcript.pyannote[2672].speaker SPEAKER_39
transcript.pyannote[2672].start 19373.12159375
transcript.pyannote[2672].end 19373.45909375
transcript.pyannote[2673].speaker SPEAKER_14
transcript.pyannote[2673].start 19397.97846875
transcript.pyannote[2673].end 19402.55159375
transcript.pyannote[2674].speaker SPEAKER_04
transcript.pyannote[2674].start 19401.47159375
transcript.pyannote[2674].end 19401.57284375
transcript.pyannote[2675].speaker SPEAKER_09
transcript.pyannote[2675].start 19401.57284375
transcript.pyannote[2675].end 19401.97784375
transcript.pyannote[2676].speaker SPEAKER_04
transcript.pyannote[2676].start 19401.97784375
transcript.pyannote[2676].end 19402.50096875
transcript.pyannote[2677].speaker SPEAKER_04
transcript.pyannote[2677].start 19402.55159375
transcript.pyannote[2677].end 19403.24346875
transcript.pyannote[2678].speaker SPEAKER_14
transcript.pyannote[2678].start 19403.78346875
transcript.pyannote[2678].end 19404.96471875
transcript.pyannote[2679].speaker SPEAKER_04
transcript.pyannote[2679].start 19403.81721875
transcript.pyannote[2679].end 19405.80846875
transcript.pyannote[2680].speaker SPEAKER_04
transcript.pyannote[2680].start 19406.04471875
transcript.pyannote[2680].end 19413.03096875
transcript.pyannote[2681].speaker SPEAKER_04
transcript.pyannote[2681].start 19413.62159375
transcript.pyannote[2681].end 19414.90409375
transcript.pyannote[2682].speaker SPEAKER_04
transcript.pyannote[2682].start 19415.19096875
transcript.pyannote[2682].end 19420.32096875
transcript.pyannote[2683].speaker SPEAKER_14
transcript.pyannote[2683].start 19420.32096875
transcript.pyannote[2683].end 19420.37159375
transcript.pyannote[2684].speaker SPEAKER_04
transcript.pyannote[2684].start 19420.97909375
transcript.pyannote[2684].end 19421.97471875
transcript.pyannote[2685].speaker SPEAKER_14
transcript.pyannote[2685].start 19421.97471875
transcript.pyannote[2685].end 19427.57721875
transcript.pyannote[2686].speaker SPEAKER_14
transcript.pyannote[2686].start 19427.84721875
transcript.pyannote[2686].end 19429.23096875
transcript.pyannote[2687].speaker SPEAKER_04
transcript.pyannote[2687].start 19429.23096875
transcript.pyannote[2687].end 19433.70284375
transcript.pyannote[2688].speaker SPEAKER_04
transcript.pyannote[2688].start 19433.85471875
transcript.pyannote[2688].end 19439.55846875
transcript.pyannote[2689].speaker SPEAKER_04
transcript.pyannote[2689].start 19439.71034375
transcript.pyannote[2689].end 19443.96284375
transcript.pyannote[2690].speaker SPEAKER_04
transcript.pyannote[2690].start 19444.16534375
transcript.pyannote[2690].end 19445.12721875
transcript.pyannote[2691].speaker SPEAKER_04
transcript.pyannote[2691].start 19445.59971875
transcript.pyannote[2691].end 19449.85221875
transcript.pyannote[2692].speaker SPEAKER_04
transcript.pyannote[2692].start 19449.97034375
transcript.pyannote[2692].end 19451.25284375
transcript.pyannote[2693].speaker SPEAKER_04
transcript.pyannote[2693].start 19451.74221875
transcript.pyannote[2693].end 19452.56909375
transcript.pyannote[2694].speaker SPEAKER_04
transcript.pyannote[2694].start 19453.02471875
transcript.pyannote[2694].end 19458.86346875
transcript.pyannote[2695].speaker SPEAKER_04
transcript.pyannote[2695].start 19459.25159375
transcript.pyannote[2695].end 19467.92534375
transcript.pyannote[2696].speaker SPEAKER_14
transcript.pyannote[2696].start 19462.13721875
transcript.pyannote[2696].end 19462.17096875
transcript.pyannote[2697].speaker SPEAKER_26
transcript.pyannote[2697].start 19462.17096875
transcript.pyannote[2697].end 19462.57596875
transcript.pyannote[2698].speaker SPEAKER_29
transcript.pyannote[2698].start 19467.92534375
transcript.pyannote[2698].end 19467.94221875
transcript.pyannote[2699].speaker SPEAKER_14
transcript.pyannote[2699].start 19468.75221875
transcript.pyannote[2699].end 19472.19471875
transcript.pyannote[2700].speaker SPEAKER_13
transcript.pyannote[2700].start 19474.82721875
transcript.pyannote[2700].end 19488.61409375
transcript.pyannote[2701].speaker SPEAKER_00
transcript.pyannote[2701].start 19478.11784375
transcript.pyannote[2701].end 19478.43846875
transcript.pyannote[2702].speaker SPEAKER_00
transcript.pyannote[2702].start 19478.70846875
transcript.pyannote[2702].end 19478.87721875
transcript.pyannote[2703].speaker SPEAKER_00
transcript.pyannote[2703].start 19479.31596875
transcript.pyannote[2703].end 19480.07534375
transcript.pyannote[2704].speaker SPEAKER_30
transcript.pyannote[2704].start 19480.07534375
transcript.pyannote[2704].end 19480.15971875
transcript.pyannote[2705].speaker SPEAKER_00
transcript.pyannote[2705].start 19480.15971875
transcript.pyannote[2705].end 19482.03284375
transcript.pyannote[2706].speaker SPEAKER_04
transcript.pyannote[2706].start 19482.03284375
transcript.pyannote[2706].end 19484.90159375
transcript.pyannote[2707].speaker SPEAKER_00
transcript.pyannote[2707].start 19484.90159375
transcript.pyannote[2707].end 19484.91846875
transcript.pyannote[2708].speaker SPEAKER_04
transcript.pyannote[2708].start 19488.61409375
transcript.pyannote[2708].end 19494.03096875
transcript.pyannote[2709].speaker SPEAKER_14
transcript.pyannote[2709].start 19494.03096875
transcript.pyannote[2709].end 19494.36846875
transcript.pyannote[2710].speaker SPEAKER_04
transcript.pyannote[2710].start 19494.36846875
transcript.pyannote[2710].end 19494.95909375
transcript.pyannote[2711].speaker SPEAKER_14
transcript.pyannote[2711].start 19494.95909375
transcript.pyannote[2711].end 19501.42221875
transcript.pyannote[2712].speaker SPEAKER_04
transcript.pyannote[2712].start 19495.02659375
transcript.pyannote[2712].end 19495.39784375
transcript.pyannote[2713].speaker SPEAKER_04
transcript.pyannote[2713].start 19497.57471875
transcript.pyannote[2713].end 19497.60846875
transcript.pyannote[2714].speaker SPEAKER_18
transcript.pyannote[2714].start 19497.60846875
transcript.pyannote[2714].end 19516.45784375
transcript.pyannote[2715].speaker SPEAKER_14
transcript.pyannote[2715].start 19515.29346875
transcript.pyannote[2715].end 19527.24096875
transcript.pyannote[2716].speaker SPEAKER_13
transcript.pyannote[2716].start 19525.18221875
transcript.pyannote[2716].end 19525.92471875
transcript.pyannote[2717].speaker SPEAKER_13
transcript.pyannote[2717].start 19526.39721875
transcript.pyannote[2717].end 19527.22409375
transcript.pyannote[2718].speaker SPEAKER_13
transcript.pyannote[2718].start 19527.24096875
transcript.pyannote[2718].end 19528.11846875
transcript.pyannote[2719].speaker SPEAKER_14
transcript.pyannote[2719].start 19527.51096875
transcript.pyannote[2719].end 19531.98284375
transcript.pyannote[2720].speaker SPEAKER_13
transcript.pyannote[2720].start 19530.44721875
transcript.pyannote[2720].end 19532.91096875
transcript.pyannote[2721].speaker SPEAKER_14
transcript.pyannote[2721].start 19532.62409375
transcript.pyannote[2721].end 19539.74534375
transcript.pyannote[2722].speaker SPEAKER_14
transcript.pyannote[2722].start 19540.15034375
transcript.pyannote[2722].end 19542.61409375
transcript.pyannote[2723].speaker SPEAKER_14
transcript.pyannote[2723].start 19542.96846875
transcript.pyannote[2723].end 19543.25534375
transcript.pyannote[2724].speaker SPEAKER_29
transcript.pyannote[2724].start 19548.26721875
transcript.pyannote[2724].end 19548.31784375
transcript.pyannote[2725].speaker SPEAKER_24
transcript.pyannote[2725].start 19548.31784375
transcript.pyannote[2725].end 19548.87471875
transcript.pyannote[2726].speaker SPEAKER_29
transcript.pyannote[2726].start 19549.34721875
transcript.pyannote[2726].end 19550.86596875
transcript.pyannote[2727].speaker SPEAKER_29
transcript.pyannote[2727].start 19550.88284375
transcript.pyannote[2727].end 19553.12721875
transcript.pyannote[2728].speaker SPEAKER_34
transcript.pyannote[2728].start 19551.59159375
transcript.pyannote[2728].end 19551.77721875
transcript.pyannote[2729].speaker SPEAKER_37
transcript.pyannote[2729].start 19551.77721875
transcript.pyannote[2729].end 19551.94596875
transcript.pyannote[2730].speaker SPEAKER_34
transcript.pyannote[2730].start 19551.94596875
transcript.pyannote[2730].end 19552.03034375
transcript.pyannote[2731].speaker SPEAKER_14
transcript.pyannote[2731].start 19552.03034375
transcript.pyannote[2731].end 19552.18221875
transcript.pyannote[2732].speaker SPEAKER_37
transcript.pyannote[2732].start 19553.12721875
transcript.pyannote[2732].end 19553.21159375
transcript.pyannote[2733].speaker SPEAKER_37
transcript.pyannote[2733].start 19553.65034375
transcript.pyannote[2733].end 19554.03846875
transcript.pyannote[2734].speaker SPEAKER_38
transcript.pyannote[2734].start 19554.03846875
transcript.pyannote[2734].end 19554.37596875
transcript.pyannote[2735].speaker SPEAKER_38
transcript.pyannote[2735].start 19556.70471875
transcript.pyannote[2735].end 19559.52284375
transcript.pyannote[2736].speaker SPEAKER_14
transcript.pyannote[2736].start 19560.23159375
transcript.pyannote[2736].end 19564.82159375
transcript.pyannote[2737].speaker SPEAKER_29
transcript.pyannote[2737].start 19563.94409375
transcript.pyannote[2737].end 19563.96096875
transcript.pyannote[2738].speaker SPEAKER_14
transcript.pyannote[2738].start 19564.92284375
transcript.pyannote[2738].end 19565.05784375
transcript.pyannote[2739].speaker SPEAKER_14
transcript.pyannote[2739].start 19565.46284375
transcript.pyannote[2739].end 19565.74971875
transcript.pyannote[2740].speaker SPEAKER_14
transcript.pyannote[2740].start 19565.81721875
transcript.pyannote[2740].end 19569.05721875
transcript.pyannote[2741].speaker SPEAKER_14
transcript.pyannote[2741].start 19570.37346875
transcript.pyannote[2741].end 19570.91346875
transcript.pyannote[2742].speaker SPEAKER_14
transcript.pyannote[2742].start 19571.36909375
transcript.pyannote[2742].end 19575.23346875
transcript.pyannote[2743].speaker SPEAKER_14
transcript.pyannote[2743].start 19575.79034375
transcript.pyannote[2743].end 19579.85721875
transcript.pyannote[2744].speaker SPEAKER_14
transcript.pyannote[2744].start 19580.58284375
transcript.pyannote[2744].end 19582.94534375
transcript.pyannote[2745].speaker SPEAKER_14
transcript.pyannote[2745].start 19583.31659375
transcript.pyannote[2745].end 19593.03659375
transcript.pyannote[2746].speaker SPEAKER_37
transcript.pyannote[2746].start 19593.03659375
transcript.pyannote[2746].end 19601.03534375
transcript.pyannote[2747].speaker SPEAKER_37
transcript.pyannote[2747].start 19601.37284375
transcript.pyannote[2747].end 19615.22721875
transcript.pyannote[2748].speaker SPEAKER_30
transcript.pyannote[2748].start 19604.61284375
transcript.pyannote[2748].end 19604.73096875
transcript.pyannote[2749].speaker SPEAKER_37
transcript.pyannote[2749].start 19615.54784375
transcript.pyannote[2749].end 19616.25659375
transcript.pyannote[2750].speaker SPEAKER_37
transcript.pyannote[2750].start 19616.62784375
transcript.pyannote[2750].end 19623.15846875
transcript.pyannote[2751].speaker SPEAKER_37
transcript.pyannote[2751].start 19623.44534375
transcript.pyannote[2751].end 19637.97471875
transcript.pyannote[2752].speaker SPEAKER_14
transcript.pyannote[2752].start 19637.97471875
transcript.pyannote[2752].end 19641.26534375
transcript.pyannote[2753].speaker SPEAKER_14
transcript.pyannote[2753].start 19642.36221875
transcript.pyannote[2753].end 19643.05409375
transcript.pyannote[2754].speaker SPEAKER_14
transcript.pyannote[2754].start 19643.84721875
transcript.pyannote[2754].end 19648.53846875
transcript.pyannote[2755].speaker SPEAKER_24
transcript.pyannote[2755].start 19649.19659375
transcript.pyannote[2755].end 19649.24721875
transcript.pyannote[2756].speaker SPEAKER_14
transcript.pyannote[2756].start 19649.24721875
transcript.pyannote[2756].end 19649.44971875
transcript.pyannote[2757].speaker SPEAKER_14
transcript.pyannote[2757].start 19650.02346875
transcript.pyannote[2757].end 19661.78534375
transcript.pyannote[2758].speaker SPEAKER_29
transcript.pyannote[2758].start 19659.76034375
transcript.pyannote[2758].end 19659.82784375
transcript.pyannote[2759].speaker SPEAKER_06
transcript.pyannote[2759].start 19659.82784375
transcript.pyannote[2759].end 19660.01346875
transcript.pyannote[2760].speaker SPEAKER_29
transcript.pyannote[2760].start 19660.01346875
transcript.pyannote[2760].end 19660.97534375
transcript.pyannote[2761].speaker SPEAKER_30
transcript.pyannote[2761].start 19660.97534375
transcript.pyannote[2761].end 19661.43096875
transcript.pyannote[2762].speaker SPEAKER_14
transcript.pyannote[2762].start 19662.69659375
transcript.pyannote[2762].end 19663.16909375
transcript.pyannote[2763].speaker SPEAKER_14
transcript.pyannote[2763].start 19663.50659375
transcript.pyannote[2763].end 19667.42159375
transcript.pyannote[2764].speaker SPEAKER_13
transcript.pyannote[2764].start 19670.77971875
transcript.pyannote[2764].end 19676.12909375
transcript.pyannote[2765].speaker SPEAKER_13
transcript.pyannote[2765].start 19676.65221875
transcript.pyannote[2765].end 19699.60221875
transcript.pyannote[2766].speaker SPEAKER_13
transcript.pyannote[2766].start 19699.92284375
transcript.pyannote[2766].end 19721.11784375
transcript.pyannote[2767].speaker SPEAKER_13
transcript.pyannote[2767].start 19721.28659375
transcript.pyannote[2767].end 19745.90721875
transcript.pyannote[2768].speaker SPEAKER_13
transcript.pyannote[2768].start 19746.04221875
transcript.pyannote[2768].end 19768.68846875
transcript.pyannote[2769].speaker SPEAKER_14
transcript.pyannote[2769].start 19763.62596875
transcript.pyannote[2769].end 19765.93784375
transcript.pyannote[2770].speaker SPEAKER_30
transcript.pyannote[2770].start 19765.93784375
transcript.pyannote[2770].end 19765.95471875
transcript.pyannote[2771].speaker SPEAKER_13
transcript.pyannote[2771].start 19768.97534375
transcript.pyannote[2771].end 19770.00471875
transcript.pyannote[2772].speaker SPEAKER_13
transcript.pyannote[2772].start 19770.74721875
transcript.pyannote[2772].end 19772.41784375
transcript.pyannote[2773].speaker SPEAKER_14
transcript.pyannote[2773].start 19772.68784375
transcript.pyannote[2773].end 19772.80596875
transcript.pyannote[2774].speaker SPEAKER_13
transcript.pyannote[2774].start 19772.80596875
transcript.pyannote[2774].end 19772.82284375
transcript.pyannote[2775].speaker SPEAKER_14
transcript.pyannote[2775].start 19772.82284375
transcript.pyannote[2775].end 19772.89034375
transcript.pyannote[2776].speaker SPEAKER_13
transcript.pyannote[2776].start 19772.89034375
transcript.pyannote[2776].end 19773.00846875
transcript.pyannote[2777].speaker SPEAKER_13
transcript.pyannote[2777].start 19773.14346875
transcript.pyannote[2777].end 19773.16034375
transcript.pyannote[2778].speaker SPEAKER_14
transcript.pyannote[2778].start 19773.16034375
transcript.pyannote[2778].end 19775.53971875
transcript.pyannote[2779].speaker SPEAKER_13
transcript.pyannote[2779].start 19777.32846875
transcript.pyannote[2779].end 19794.38909375
transcript.pyannote[2780].speaker SPEAKER_30
transcript.pyannote[2780].start 19784.88846875
transcript.pyannote[2780].end 19785.32721875
transcript.pyannote[2781].speaker SPEAKER_13
transcript.pyannote[2781].start 19794.92909375
transcript.pyannote[2781].end 19796.83596875
transcript.pyannote[2782].speaker SPEAKER_13
transcript.pyannote[2782].start 19797.02159375
transcript.pyannote[2782].end 19797.03846875
transcript.pyannote[2783].speaker SPEAKER_13
transcript.pyannote[2783].start 19797.05534375
transcript.pyannote[2783].end 19805.12159375
transcript.pyannote[2784].speaker SPEAKER_14
transcript.pyannote[2784].start 19805.91471875
transcript.pyannote[2784].end 19826.31659375
transcript.pyannote[2785].speaker SPEAKER_14
transcript.pyannote[2785].start 19827.97034375
transcript.pyannote[2785].end 19829.82659375
transcript.pyannote[2786].speaker SPEAKER_14
transcript.pyannote[2786].start 19830.11346875
transcript.pyannote[2786].end 19830.51846875
transcript.pyannote[2787].speaker SPEAKER_14
transcript.pyannote[2787].start 19830.97409375
transcript.pyannote[2787].end 19832.76284375
transcript.pyannote[2788].speaker SPEAKER_14
transcript.pyannote[2788].start 19833.96096875
transcript.pyannote[2788].end 19837.11659375
transcript.pyannote[2789].speaker SPEAKER_14
transcript.pyannote[2789].start 19837.45409375
transcript.pyannote[2789].end 19839.10784375
transcript.pyannote[2790].speaker SPEAKER_14
transcript.pyannote[2790].start 19839.88409375
transcript.pyannote[2790].end 19851.94971875
transcript.pyannote[2791].speaker SPEAKER_14
transcript.pyannote[2791].start 19851.98346875
transcript.pyannote[2791].end 19852.03409375
transcript.pyannote[2792].speaker SPEAKER_00
transcript.pyannote[2792].start 19852.52346875
transcript.pyannote[2792].end 19854.36284375
transcript.pyannote[2793].speaker SPEAKER_14
transcript.pyannote[2793].start 19853.18159375
transcript.pyannote[2793].end 19854.66659375
transcript.pyannote[2794].speaker SPEAKER_00
transcript.pyannote[2794].start 19854.66659375
transcript.pyannote[2794].end 19854.75096875
transcript.pyannote[2795].speaker SPEAKER_00
transcript.pyannote[2795].start 19854.91971875
transcript.pyannote[2795].end 19859.69534375
transcript.pyannote[2796].speaker SPEAKER_14
transcript.pyannote[2796].start 19857.77159375
transcript.pyannote[2796].end 19858.21034375
transcript.pyannote[2797].speaker SPEAKER_14
transcript.pyannote[2797].start 19860.79221875
transcript.pyannote[2797].end 19866.27659375
transcript.pyannote[2798].speaker SPEAKER_27
transcript.pyannote[2798].start 19866.27659375
transcript.pyannote[2798].end 19866.34409375
transcript.pyannote[2799].speaker SPEAKER_14
transcript.pyannote[2799].start 19867.08659375
transcript.pyannote[2799].end 19867.10346875
transcript.pyannote[2800].speaker SPEAKER_27
transcript.pyannote[2800].start 19867.10346875
transcript.pyannote[2800].end 19868.26784375
transcript.pyannote[2801].speaker SPEAKER_27
transcript.pyannote[2801].start 19870.14096875
transcript.pyannote[2801].end 19879.37159375
transcript.pyannote[2802].speaker SPEAKER_27
transcript.pyannote[2802].start 19880.21534375
transcript.pyannote[2802].end 19900.02659375
transcript.pyannote[2803].speaker SPEAKER_27
transcript.pyannote[2803].start 19903.58721875
transcript.pyannote[2803].end 19903.60409375
transcript.pyannote[2804].speaker SPEAKER_14
transcript.pyannote[2804].start 19903.60409375
transcript.pyannote[2804].end 19906.42221875
transcript.pyannote[2805].speaker SPEAKER_09
transcript.pyannote[2805].start 19906.91159375
transcript.pyannote[2805].end 19915.66971875
transcript.pyannote[2806].speaker SPEAKER_09
transcript.pyannote[2806].start 19915.85534375
transcript.pyannote[2806].end 19958.98784375
transcript.pyannote[2807].speaker SPEAKER_09
transcript.pyannote[2807].start 19959.25784375
transcript.pyannote[2807].end 19999.30221875
transcript.pyannote[2808].speaker SPEAKER_09
transcript.pyannote[2808].start 19999.38659375
transcript.pyannote[2808].end 19999.85909375
transcript.pyannote[2809].speaker SPEAKER_14
transcript.pyannote[2809].start 20000.93909375
transcript.pyannote[2809].end 20002.23846875
transcript.pyannote[2810].speaker SPEAKER_14
transcript.pyannote[2810].start 20002.47471875
transcript.pyannote[2810].end 20003.89221875
transcript.pyannote[2811].speaker SPEAKER_09
transcript.pyannote[2811].start 20002.71096875
transcript.pyannote[2811].end 20012.65034375
transcript.pyannote[2812].speaker SPEAKER_14
transcript.pyannote[2812].start 20012.95409375
transcript.pyannote[2812].end 20013.66284375
transcript.pyannote[2813].speaker SPEAKER_14
transcript.pyannote[2813].start 20013.89909375
transcript.pyannote[2813].end 20014.28721875
transcript.pyannote[2814].speaker SPEAKER_14
transcript.pyannote[2814].start 20014.81034375
transcript.pyannote[2814].end 20017.37534375
transcript.pyannote[2815].speaker SPEAKER_14
transcript.pyannote[2815].start 20018.55659375
transcript.pyannote[2815].end 20023.45034375
transcript.pyannote[2816].speaker SPEAKER_14
transcript.pyannote[2816].start 20024.76659375
transcript.pyannote[2816].end 20026.60596875
transcript.pyannote[2817].speaker SPEAKER_14
transcript.pyannote[2817].start 20027.31471875
transcript.pyannote[2817].end 20030.18346875
transcript.pyannote[2818].speaker SPEAKER_14
transcript.pyannote[2818].start 20030.92596875
transcript.pyannote[2818].end 20032.29284375
transcript.pyannote[2819].speaker SPEAKER_14
transcript.pyannote[2819].start 20032.73159375
transcript.pyannote[2819].end 20034.80721875
transcript.pyannote[2820].speaker SPEAKER_14
transcript.pyannote[2820].start 20036.30909375
transcript.pyannote[2820].end 20036.44409375
transcript.pyannote[2821].speaker SPEAKER_27
transcript.pyannote[2821].start 20036.44409375
transcript.pyannote[2821].end 20036.46096875
transcript.pyannote[2822].speaker SPEAKER_14
transcript.pyannote[2822].start 20036.91659375
transcript.pyannote[2822].end 20041.05096875
transcript.pyannote[2823].speaker SPEAKER_27
transcript.pyannote[2823].start 20037.18659375
transcript.pyannote[2823].end 20037.86159375
transcript.pyannote[2824].speaker SPEAKER_27
transcript.pyannote[2824].start 20038.63784375
transcript.pyannote[2824].end 20039.44784375
transcript.pyannote[2825].speaker SPEAKER_27
transcript.pyannote[2825].start 20039.75159375
transcript.pyannote[2825].end 20040.08909375
transcript.pyannote[2826].speaker SPEAKER_27
transcript.pyannote[2826].start 20041.62471875
transcript.pyannote[2826].end 20047.37909375
transcript.pyannote[2827].speaker SPEAKER_14
transcript.pyannote[2827].start 20048.29034375
transcript.pyannote[2827].end 20048.89784375
transcript.pyannote[2828].speaker SPEAKER_14
transcript.pyannote[2828].start 20048.96534375
transcript.pyannote[2828].end 20048.99909375
transcript.pyannote[2829].speaker SPEAKER_27
transcript.pyannote[2829].start 20048.99909375
transcript.pyannote[2829].end 20049.01596875
transcript.pyannote[2830].speaker SPEAKER_14
transcript.pyannote[2830].start 20049.01596875
transcript.pyannote[2830].end 20049.97784375
transcript.pyannote[2831].speaker SPEAKER_27
transcript.pyannote[2831].start 20049.97784375
transcript.pyannote[2831].end 20050.02846875
transcript.pyannote[2832].speaker SPEAKER_14
transcript.pyannote[2832].start 20050.02846875
transcript.pyannote[2832].end 20052.01971875
transcript.pyannote[2833].speaker SPEAKER_14
transcript.pyannote[2833].start 20052.23909375
transcript.pyannote[2833].end 20062.75221875
transcript.pyannote[2834].speaker SPEAKER_14
transcript.pyannote[2834].start 20063.39346875
transcript.pyannote[2834].end 20067.15659375
transcript.pyannote[2835].speaker SPEAKER_14
transcript.pyannote[2835].start 20067.71346875
transcript.pyannote[2835].end 20071.27409375
transcript.pyannote[2836].speaker SPEAKER_14
transcript.pyannote[2836].start 20071.45971875
transcript.pyannote[2836].end 20073.43409375
transcript.pyannote[2837].speaker SPEAKER_14
transcript.pyannote[2837].start 20076.01596875
transcript.pyannote[2837].end 20077.01159375
transcript.pyannote[2838].speaker SPEAKER_14
transcript.pyannote[2838].start 20079.22221875
transcript.pyannote[2838].end 20091.86159375
transcript.pyannote[2839].speaker SPEAKER_27
transcript.pyannote[2839].start 20084.90909375
transcript.pyannote[2839].end 20085.29721875
transcript.pyannote[2840].speaker SPEAKER_27
transcript.pyannote[2840].start 20088.67221875
transcript.pyannote[2840].end 20088.73971875
transcript.pyannote[2841].speaker SPEAKER_30
transcript.pyannote[2841].start 20088.73971875
transcript.pyannote[2841].end 20088.95909375
transcript.pyannote[2842].speaker SPEAKER_27
transcript.pyannote[2842].start 20088.95909375
transcript.pyannote[2842].end 20089.04346875
transcript.pyannote[2843].speaker SPEAKER_14
transcript.pyannote[2843].start 20091.96284375
transcript.pyannote[2843].end 20091.97971875
transcript.pyannote[2844].speaker SPEAKER_14
transcript.pyannote[2844].start 20092.13159375
transcript.pyannote[2844].end 20093.66721875
transcript.pyannote[2845].speaker SPEAKER_30
transcript.pyannote[2845].start 20093.66721875
transcript.pyannote[2845].end 20093.78534375
transcript.pyannote[2846].speaker SPEAKER_14
transcript.pyannote[2846].start 20094.66284375
transcript.pyannote[2846].end 20094.67971875
transcript.pyannote[2847].speaker SPEAKER_27
transcript.pyannote[2847].start 20094.67971875
transcript.pyannote[2847].end 20097.24471875
transcript.pyannote[2848].speaker SPEAKER_27
transcript.pyannote[2848].start 20098.29096875
transcript.pyannote[2848].end 20101.02471875
transcript.pyannote[2849].speaker SPEAKER_14
transcript.pyannote[2849].start 20101.02471875
transcript.pyannote[2849].end 20104.53471875
transcript.pyannote[2850].speaker SPEAKER_14
transcript.pyannote[2850].start 20105.10846875
transcript.pyannote[2850].end 20108.31471875
transcript.pyannote[2851].speaker SPEAKER_14
transcript.pyannote[2851].start 20109.52971875
transcript.pyannote[2851].end 20112.95534375
transcript.pyannote[2852].speaker SPEAKER_14
transcript.pyannote[2852].start 20113.37721875
transcript.pyannote[2852].end 20113.79909375
transcript.pyannote[2853].speaker SPEAKER_27
transcript.pyannote[2853].start 20116.33034375
transcript.pyannote[2853].end 20116.87034375
transcript.pyannote[2854].speaker SPEAKER_27
transcript.pyannote[2854].start 20117.15721875
transcript.pyannote[2854].end 20117.20784375
transcript.pyannote[2855].speaker SPEAKER_14
transcript.pyannote[2855].start 20117.20784375
transcript.pyannote[2855].end 20117.96721875
transcript.pyannote[2856].speaker SPEAKER_27
transcript.pyannote[2856].start 20117.96721875
transcript.pyannote[2856].end 20122.25346875
transcript.pyannote[2857].speaker SPEAKER_30
transcript.pyannote[2857].start 20118.35534375
transcript.pyannote[2857].end 20120.14409375
transcript.pyannote[2858].speaker SPEAKER_14
transcript.pyannote[2858].start 20122.25346875
transcript.pyannote[2858].end 20122.32096875
transcript.pyannote[2859].speaker SPEAKER_30
transcript.pyannote[2859].start 20122.50659375
transcript.pyannote[2859].end 20124.00846875
transcript.pyannote[2860].speaker SPEAKER_27
transcript.pyannote[2860].start 20124.00846875
transcript.pyannote[2860].end 20124.02534375
transcript.pyannote[2861].speaker SPEAKER_14
transcript.pyannote[2861].start 20124.02534375
transcript.pyannote[2861].end 20135.51721875
transcript.pyannote[2862].speaker SPEAKER_39
transcript.pyannote[2862].start 20136.00659375
transcript.pyannote[2862].end 20136.66471875
transcript.pyannote[2863].speaker SPEAKER_30
transcript.pyannote[2863].start 20136.66471875
transcript.pyannote[2863].end 20136.81659375
transcript.pyannote[2864].speaker SPEAKER_14
transcript.pyannote[2864].start 20136.71534375
transcript.pyannote[2864].end 20141.96346875
transcript.pyannote[2865].speaker SPEAKER_39
transcript.pyannote[2865].start 20136.81659375
transcript.pyannote[2865].end 20140.02284375
transcript.pyannote[2866].speaker SPEAKER_27
transcript.pyannote[2866].start 20140.02284375
transcript.pyannote[2866].end 20141.03534375
transcript.pyannote[2867].speaker SPEAKER_27
transcript.pyannote[2867].start 20141.96346875
transcript.pyannote[2867].end 20155.44659375
transcript.pyannote[2868].speaker SPEAKER_14
transcript.pyannote[2868].start 20146.99221875
transcript.pyannote[2868].end 20151.83534375
transcript.pyannote[2869].speaker SPEAKER_05
transcript.pyannote[2869].start 20151.83534375
transcript.pyannote[2869].end 20151.86909375
transcript.pyannote[2870].speaker SPEAKER_05
transcript.pyannote[2870].start 20152.54409375
transcript.pyannote[2870].end 20152.86471875
transcript.pyannote[2871].speaker SPEAKER_27
transcript.pyannote[2871].start 20156.08784375
transcript.pyannote[2871].end 20156.99909375
transcript.pyannote[2872].speaker SPEAKER_05
transcript.pyannote[2872].start 20157.38721875
transcript.pyannote[2872].end 20157.72471875
transcript.pyannote[2873].speaker SPEAKER_05
transcript.pyannote[2873].start 20159.85096875
transcript.pyannote[2873].end 20159.91846875
transcript.pyannote[2874].speaker SPEAKER_27
transcript.pyannote[2874].start 20159.91846875
transcript.pyannote[2874].end 20161.31909375
transcript.pyannote[2875].speaker SPEAKER_05
transcript.pyannote[2875].start 20159.98596875
transcript.pyannote[2875].end 20160.00284375
transcript.pyannote[2876].speaker SPEAKER_05
transcript.pyannote[2876].start 20160.01971875
transcript.pyannote[2876].end 20160.03659375
transcript.pyannote[2877].speaker SPEAKER_09
transcript.pyannote[2877].start 20160.03659375
transcript.pyannote[2877].end 20160.10409375
transcript.pyannote[2878].speaker SPEAKER_09
transcript.pyannote[2878].start 20160.64409375
transcript.pyannote[2878].end 20161.84221875
transcript.pyannote[2879].speaker SPEAKER_27
transcript.pyannote[2879].start 20162.80409375
transcript.pyannote[2879].end 20165.21721875
transcript.pyannote[2880].speaker SPEAKER_09
transcript.pyannote[2880].start 20164.28909375
transcript.pyannote[2880].end 20168.37284375
transcript.pyannote[2881].speaker SPEAKER_09
transcript.pyannote[2881].start 20169.13221875
transcript.pyannote[2881].end 20170.53284375
transcript.pyannote[2882].speaker SPEAKER_14
transcript.pyannote[2882].start 20170.48221875
transcript.pyannote[2882].end 20177.45159375
transcript.pyannote[2883].speaker SPEAKER_14
transcript.pyannote[2883].start 20177.63721875
transcript.pyannote[2883].end 20183.32409375
transcript.pyannote[2884].speaker SPEAKER_14
transcript.pyannote[2884].start 20183.54346875
transcript.pyannote[2884].end 20183.56034375
transcript.pyannote[2885].speaker SPEAKER_31
transcript.pyannote[2885].start 20183.56034375
transcript.pyannote[2885].end 20184.42096875
transcript.pyannote[2886].speaker SPEAKER_14
transcript.pyannote[2886].start 20184.55596875
transcript.pyannote[2886].end 20186.32784375
transcript.pyannote[2887].speaker SPEAKER_31
transcript.pyannote[2887].start 20185.99034375
transcript.pyannote[2887].end 20186.31096875
transcript.pyannote[2888].speaker SPEAKER_31
transcript.pyannote[2888].start 20186.32784375
transcript.pyannote[2888].end 20187.59346875
transcript.pyannote[2889].speaker SPEAKER_14
transcript.pyannote[2889].start 20187.96471875
transcript.pyannote[2889].end 20195.11971875
transcript.pyannote[2890].speaker SPEAKER_14
transcript.pyannote[2890].start 20195.71034375
transcript.pyannote[2890].end 20197.85346875
transcript.pyannote[2891].speaker SPEAKER_25
transcript.pyannote[2891].start 20197.85346875
transcript.pyannote[2891].end 20197.98846875
transcript.pyannote[2892].speaker SPEAKER_25
transcript.pyannote[2892].start 20198.14034375
transcript.pyannote[2892].end 20206.66221875
transcript.pyannote[2893].speaker SPEAKER_14
transcript.pyannote[2893].start 20200.87409375
transcript.pyannote[2893].end 20202.32534375
transcript.pyannote[2894].speaker SPEAKER_37
transcript.pyannote[2894].start 20202.32534375
transcript.pyannote[2894].end 20202.35909375
transcript.pyannote[2895].speaker SPEAKER_00
transcript.pyannote[2895].start 20203.03409375
transcript.pyannote[2895].end 20203.05096875
transcript.pyannote[2896].speaker SPEAKER_37
transcript.pyannote[2896].start 20203.05096875
transcript.pyannote[2896].end 20203.47284375
transcript.pyannote[2897].speaker SPEAKER_25
transcript.pyannote[2897].start 20206.81409375
transcript.pyannote[2897].end 20237.44221875
transcript.pyannote[2898].speaker SPEAKER_00
transcript.pyannote[2898].start 20210.17221875
transcript.pyannote[2898].end 20213.02409375
transcript.pyannote[2899].speaker SPEAKER_23
transcript.pyannote[2899].start 20213.02409375
transcript.pyannote[2899].end 20213.58096875
transcript.pyannote[2900].speaker SPEAKER_00
transcript.pyannote[2900].start 20213.58096875
transcript.pyannote[2900].end 20213.63159375
transcript.pyannote[2901].speaker SPEAKER_25
transcript.pyannote[2901].start 20237.57721875
transcript.pyannote[2901].end 20239.66971875
transcript.pyannote[2902].speaker SPEAKER_25
transcript.pyannote[2902].start 20239.78784375
transcript.pyannote[2902].end 20267.49659375
transcript.pyannote[2903].speaker SPEAKER_14
transcript.pyannote[2903].start 20271.00659375
transcript.pyannote[2903].end 20276.60909375
transcript.pyannote[2904].speaker SPEAKER_14
transcript.pyannote[2904].start 20277.60471875
transcript.pyannote[2904].end 20277.92534375
transcript.pyannote[2905].speaker SPEAKER_14
transcript.pyannote[2905].start 20278.39784375
transcript.pyannote[2905].end 20307.57471875
transcript.pyannote[2906].speaker SPEAKER_14
transcript.pyannote[2906].start 20309.12721875
transcript.pyannote[2906].end 20310.22409375
transcript.pyannote[2907].speaker SPEAKER_30
transcript.pyannote[2907].start 20309.86971875
transcript.pyannote[2907].end 20311.42221875
transcript.pyannote[2908].speaker SPEAKER_30
transcript.pyannote[2908].start 20311.89471875
transcript.pyannote[2908].end 20312.04659375
transcript.pyannote[2909].speaker SPEAKER_14
transcript.pyannote[2909].start 20312.04659375
transcript.pyannote[2909].end 20317.86846875
transcript.pyannote[2910].speaker SPEAKER_30
transcript.pyannote[2910].start 20312.06346875
transcript.pyannote[2910].end 20313.00846875
transcript.pyannote[2911].speaker SPEAKER_14
transcript.pyannote[2911].start 20318.59409375
transcript.pyannote[2911].end 20322.03659375
transcript.pyannote[2912].speaker SPEAKER_14
transcript.pyannote[2912].start 20322.82971875
transcript.pyannote[2912].end 20331.03096875
transcript.pyannote[2913].speaker SPEAKER_03
transcript.pyannote[2913].start 20326.76159375
transcript.pyannote[2913].end 20327.58846875
transcript.pyannote[2914].speaker SPEAKER_33
transcript.pyannote[2914].start 20327.58846875
transcript.pyannote[2914].end 20327.63909375
transcript.pyannote[2915].speaker SPEAKER_33
transcript.pyannote[2915].start 20328.41534375
transcript.pyannote[2915].end 20328.44909375
transcript.pyannote[2916].speaker SPEAKER_03
transcript.pyannote[2916].start 20328.44909375
transcript.pyannote[2916].end 20330.62596875
transcript.pyannote[2917].speaker SPEAKER_03
transcript.pyannote[2917].start 20330.64284375
transcript.pyannote[2917].end 20330.69346875
transcript.pyannote[2918].speaker SPEAKER_03
transcript.pyannote[2918].start 20331.03096875
transcript.pyannote[2918].end 20332.14471875
transcript.pyannote[2919].speaker SPEAKER_03
transcript.pyannote[2919].start 20332.24596875
transcript.pyannote[2919].end 20332.26284375
transcript.pyannote[2920].speaker SPEAKER_14
transcript.pyannote[2920].start 20332.26284375
transcript.pyannote[2920].end 20337.83159375
transcript.pyannote[2921].speaker SPEAKER_03
transcript.pyannote[2921].start 20332.34721875
transcript.pyannote[2921].end 20332.39784375
transcript.pyannote[2922].speaker SPEAKER_03
transcript.pyannote[2922].start 20332.73534375
transcript.pyannote[2922].end 20333.02221875
transcript.pyannote[2923].speaker SPEAKER_14
transcript.pyannote[2923].start 20338.43909375
transcript.pyannote[2923].end 20344.69971875
transcript.pyannote[2924].speaker SPEAKER_13
transcript.pyannote[2924].start 20346.64034375
transcript.pyannote[2924].end 20353.30596875
transcript.pyannote[2925].speaker SPEAKER_13
transcript.pyannote[2925].start 20353.91346875
transcript.pyannote[2925].end 20356.36034375
transcript.pyannote[2926].speaker SPEAKER_13
transcript.pyannote[2926].start 20356.76534375
transcript.pyannote[2926].end 20364.20721875
transcript.pyannote[2927].speaker SPEAKER_13
transcript.pyannote[2927].start 20364.37596875
transcript.pyannote[2927].end 20369.60721875
transcript.pyannote[2928].speaker SPEAKER_13
transcript.pyannote[2928].start 20369.99534375
transcript.pyannote[2928].end 20377.85909375
transcript.pyannote[2929].speaker SPEAKER_13
transcript.pyannote[2929].start 20378.14596875
transcript.pyannote[2929].end 20381.25096875
transcript.pyannote[2930].speaker SPEAKER_13
transcript.pyannote[2930].start 20381.63909375
transcript.pyannote[2930].end 20382.43221875
transcript.pyannote[2931].speaker SPEAKER_13
transcript.pyannote[2931].start 20383.09034375
transcript.pyannote[2931].end 20383.71471875
transcript.pyannote[2932].speaker SPEAKER_13
transcript.pyannote[2932].start 20384.32221875
transcript.pyannote[2932].end 20411.35596875
transcript.pyannote[2933].speaker SPEAKER_14
transcript.pyannote[2933].start 20412.72284375
transcript.pyannote[2933].end 20413.02659375
transcript.pyannote[2934].speaker SPEAKER_18
transcript.pyannote[2934].start 20413.02659375
transcript.pyannote[2934].end 20462.38596875
transcript.pyannote[2935].speaker SPEAKER_18
transcript.pyannote[2935].start 20462.67284375
transcript.pyannote[2935].end 20468.56221875
transcript.pyannote[2936].speaker SPEAKER_18
transcript.pyannote[2936].start 20469.08534375
transcript.pyannote[2936].end 20530.32471875
transcript.pyannote[2937].speaker SPEAKER_18
transcript.pyannote[2937].start 20531.45534375
transcript.pyannote[2937].end 20531.50596875
transcript.pyannote[2938].speaker SPEAKER_14
transcript.pyannote[2938].start 20531.50596875
transcript.pyannote[2938].end 20531.79284375
transcript.pyannote[2939].speaker SPEAKER_14
transcript.pyannote[2939].start 20534.84721875
transcript.pyannote[2939].end 20536.04534375
transcript.pyannote[2940].speaker SPEAKER_14
transcript.pyannote[2940].start 20536.48409375
transcript.pyannote[2940].end 20541.07409375
transcript.pyannote[2941].speaker SPEAKER_27
transcript.pyannote[2941].start 20540.50034375
transcript.pyannote[2941].end 20545.07346875
transcript.pyannote[2942].speaker SPEAKER_14
transcript.pyannote[2942].start 20543.04846875
transcript.pyannote[2942].end 20545.20846875
transcript.pyannote[2943].speaker SPEAKER_27
transcript.pyannote[2943].start 20545.20846875
transcript.pyannote[2943].end 20545.69784375
transcript.pyannote[2944].speaker SPEAKER_14
transcript.pyannote[2944].start 20545.57971875
transcript.pyannote[2944].end 20555.04659375
transcript.pyannote[2945].speaker SPEAKER_27
transcript.pyannote[2945].start 20551.31721875
transcript.pyannote[2945].end 20551.41846875
transcript.pyannote[2946].speaker SPEAKER_24
transcript.pyannote[2946].start 20551.41846875
transcript.pyannote[2946].end 20551.68846875
transcript.pyannote[2947].speaker SPEAKER_30
transcript.pyannote[2947].start 20551.68846875
transcript.pyannote[2947].end 20552.07659375
transcript.pyannote[2948].speaker SPEAKER_24
transcript.pyannote[2948].start 20552.07659375
transcript.pyannote[2948].end 20552.11034375
transcript.pyannote[2949].speaker SPEAKER_24
transcript.pyannote[2949].start 20555.60346875
transcript.pyannote[2949].end 20555.80596875
transcript.pyannote[2950].speaker SPEAKER_14
transcript.pyannote[2950].start 20555.80596875
transcript.pyannote[2950].end 20556.80159375
transcript.pyannote[2951].speaker SPEAKER_24
transcript.pyannote[2951].start 20556.80159375
transcript.pyannote[2951].end 20557.08846875
transcript.pyannote[2952].speaker SPEAKER_14
transcript.pyannote[2952].start 20558.08409375
transcript.pyannote[2952].end 20561.12159375
transcript.pyannote[2953].speaker SPEAKER_14
transcript.pyannote[2953].start 20561.37471875
transcript.pyannote[2953].end 20561.99909375
transcript.pyannote[2954].speaker SPEAKER_14
transcript.pyannote[2954].start 20562.31971875
transcript.pyannote[2954].end 20563.19721875
transcript.pyannote[2955].speaker SPEAKER_14
transcript.pyannote[2955].start 20563.78784375
transcript.pyannote[2955].end 20566.09971875
transcript.pyannote[2956].speaker SPEAKER_14
transcript.pyannote[2956].start 20566.63971875
transcript.pyannote[2956].end 20567.36534375
transcript.pyannote[2957].speaker SPEAKER_14
transcript.pyannote[2957].start 20569.20471875
transcript.pyannote[2957].end 20572.59659375
transcript.pyannote[2958].speaker SPEAKER_14
transcript.pyannote[2958].start 20573.54159375
transcript.pyannote[2958].end 20578.35096875
transcript.pyannote[2959].speaker SPEAKER_27
transcript.pyannote[2959].start 20575.44846875
transcript.pyannote[2959].end 20581.00034375
transcript.pyannote[2960].speaker SPEAKER_14
transcript.pyannote[2960].start 20580.74721875
transcript.pyannote[2960].end 20589.99471875
transcript.pyannote[2961].speaker SPEAKER_15
transcript.pyannote[2961].start 20587.31159375
transcript.pyannote[2961].end 20587.32846875
transcript.pyannote[2962].speaker SPEAKER_27
transcript.pyannote[2962].start 20587.32846875
transcript.pyannote[2962].end 20587.96971875
transcript.pyannote[2963].speaker SPEAKER_15
transcript.pyannote[2963].start 20587.96971875
transcript.pyannote[2963].end 20589.03284375
transcript.pyannote[2964].speaker SPEAKER_40
transcript.pyannote[2964].start 20592.13784375
transcript.pyannote[2964].end 20597.16659375
transcript.pyannote[2965].speaker SPEAKER_40
transcript.pyannote[2965].start 20597.18346875
transcript.pyannote[2965].end 20603.44409375
transcript.pyannote[2966].speaker SPEAKER_40
transcript.pyannote[2966].start 20604.49034375
transcript.pyannote[2966].end 20604.96284375
transcript.pyannote[2967].speaker SPEAKER_40
transcript.pyannote[2967].start 20607.20721875
transcript.pyannote[2967].end 20616.87659375
transcript.pyannote[2968].speaker SPEAKER_40
transcript.pyannote[2968].start 20616.91034375
transcript.pyannote[2968].end 20616.92721875
transcript.pyannote[2969].speaker SPEAKER_40
transcript.pyannote[2969].start 20617.11284375
transcript.pyannote[2969].end 20624.53784375
transcript.pyannote[2970].speaker SPEAKER_40
transcript.pyannote[2970].start 20624.92596875
transcript.pyannote[2970].end 20665.27409375
transcript.pyannote[2971].speaker SPEAKER_40
transcript.pyannote[2971].start 20665.57784375
transcript.pyannote[2971].end 20684.79846875
transcript.pyannote[2972].speaker SPEAKER_40
transcript.pyannote[2972].start 20685.05159375
transcript.pyannote[2972].end 20704.15409375
transcript.pyannote[2973].speaker SPEAKER_40
transcript.pyannote[2973].start 20704.77846875
transcript.pyannote[2973].end 20705.38596875
transcript.pyannote[2974].speaker SPEAKER_40
transcript.pyannote[2974].start 20705.70659375
transcript.pyannote[2974].end 20732.99346875
transcript.pyannote[2975].speaker SPEAKER_40
transcript.pyannote[2975].start 20733.38159375
transcript.pyannote[2975].end 20742.35909375
transcript.pyannote[2976].speaker SPEAKER_40
transcript.pyannote[2976].start 20742.94971875
transcript.pyannote[2976].end 20749.26096875
transcript.pyannote[2977].speaker SPEAKER_00
transcript.pyannote[2977].start 20743.67534375
transcript.pyannote[2977].end 20744.70471875
transcript.pyannote[2978].speaker SPEAKER_40
transcript.pyannote[2978].start 20749.49721875
transcript.pyannote[2978].end 20759.13284375
transcript.pyannote[2979].speaker SPEAKER_40
transcript.pyannote[2979].start 20759.77409375
transcript.pyannote[2979].end 20761.71471875
transcript.pyannote[2980].speaker SPEAKER_40
transcript.pyannote[2980].start 20762.30534375
transcript.pyannote[2980].end 20779.06221875
transcript.pyannote[2981].speaker SPEAKER_18
transcript.pyannote[2981].start 20777.56034375
transcript.pyannote[2981].end 20778.85971875
transcript.pyannote[2982].speaker SPEAKER_18
transcript.pyannote[2982].start 20779.06221875
transcript.pyannote[2982].end 20780.91846875
transcript.pyannote[2983].speaker SPEAKER_02
transcript.pyannote[2983].start 20780.91846875
transcript.pyannote[2983].end 20780.93534375
transcript.pyannote[2984].speaker SPEAKER_18
transcript.pyannote[2984].start 20780.93534375
transcript.pyannote[2984].end 20780.96909375
transcript.pyannote[2985].speaker SPEAKER_02
transcript.pyannote[2985].start 20780.96909375
transcript.pyannote[2985].end 20780.98596875
transcript.pyannote[2986].speaker SPEAKER_02
transcript.pyannote[2986].start 20781.49221875
transcript.pyannote[2986].end 20781.96471875
transcript.pyannote[2987].speaker SPEAKER_18
transcript.pyannote[2987].start 20781.96471875
transcript.pyannote[2987].end 20782.03221875
transcript.pyannote[2988].speaker SPEAKER_02
transcript.pyannote[2988].start 20782.03221875
transcript.pyannote[2988].end 20784.58034375
transcript.pyannote[2989].speaker SPEAKER_40
transcript.pyannote[2989].start 20785.33971875
transcript.pyannote[2989].end 20788.00596875
transcript.pyannote[2990].speaker SPEAKER_02
transcript.pyannote[2990].start 20787.31409375
transcript.pyannote[2990].end 20787.97221875
transcript.pyannote[2991].speaker SPEAKER_18
transcript.pyannote[2991].start 20787.97221875
transcript.pyannote[2991].end 20789.06909375
transcript.pyannote[2992].speaker SPEAKER_02
transcript.pyannote[2992].start 20789.06909375
transcript.pyannote[2992].end 20789.13659375
transcript.pyannote[2993].speaker SPEAKER_18
transcript.pyannote[2993].start 20789.28846875
transcript.pyannote[2993].end 20789.32221875
transcript.pyannote[2994].speaker SPEAKER_02
transcript.pyannote[2994].start 20789.32221875
transcript.pyannote[2994].end 20789.67659375
transcript.pyannote[2995].speaker SPEAKER_40
transcript.pyannote[2995].start 20791.09409375
transcript.pyannote[2995].end 20792.49471875
transcript.pyannote[2996].speaker SPEAKER_02
transcript.pyannote[2996].start 20792.49471875
transcript.pyannote[2996].end 20792.96721875
transcript.pyannote[2997].speaker SPEAKER_18
transcript.pyannote[2997].start 20792.96721875
transcript.pyannote[2997].end 20793.45659375
transcript.pyannote[2998].speaker SPEAKER_02
transcript.pyannote[2998].start 20793.45659375
transcript.pyannote[2998].end 20793.50721875
transcript.pyannote[2999].speaker SPEAKER_40
transcript.pyannote[2999].start 20793.50721875
transcript.pyannote[2999].end 20796.59534375
transcript.pyannote[3000].speaker SPEAKER_40
transcript.pyannote[3000].start 20797.91159375
transcript.pyannote[3000].end 20804.57721875
transcript.pyannote[3001].speaker SPEAKER_18
transcript.pyannote[3001].start 20801.52284375
transcript.pyannote[3001].end 20801.91096875
transcript.pyannote[3002].speaker SPEAKER_18
transcript.pyannote[3002].start 20802.73784375
transcript.pyannote[3002].end 20805.89346875
transcript.pyannote[3003].speaker SPEAKER_18
transcript.pyannote[3003].start 20806.01159375
transcript.pyannote[3003].end 20824.01721875
transcript.pyannote[3004].speaker SPEAKER_40
transcript.pyannote[3004].start 20824.01721875
transcript.pyannote[3004].end 20824.11846875
transcript.pyannote[3005].speaker SPEAKER_40
transcript.pyannote[3005].start 20825.45159375
transcript.pyannote[3005].end 20825.95784375
transcript.pyannote[3006].speaker SPEAKER_18
transcript.pyannote[3006].start 20827.34159375
transcript.pyannote[3006].end 20830.31159375
transcript.pyannote[3007].speaker SPEAKER_40
transcript.pyannote[3007].start 20830.54784375
transcript.pyannote[3007].end 20830.83471875
transcript.pyannote[3008].speaker SPEAKER_40
transcript.pyannote[3008].start 20833.02846875
transcript.pyannote[3008].end 20835.17159375
transcript.pyannote[3009].speaker SPEAKER_40
transcript.pyannote[3009].start 20835.86346875
transcript.pyannote[3009].end 20844.33471875
transcript.pyannote[3010].speaker SPEAKER_40
transcript.pyannote[3010].start 20845.00971875
transcript.pyannote[3010].end 20852.95784375
transcript.pyannote[3011].speaker SPEAKER_18
transcript.pyannote[3011].start 20852.21534375
transcript.pyannote[3011].end 20870.28846875
transcript.pyannote[3012].speaker SPEAKER_40
transcript.pyannote[3012].start 20870.28846875
transcript.pyannote[3012].end 20895.95534375
transcript.pyannote[3013].speaker SPEAKER_40
transcript.pyannote[3013].start 20896.56284375
transcript.pyannote[3013].end 20898.90846875
transcript.pyannote[3014].speaker SPEAKER_40
transcript.pyannote[3014].start 20899.31346875
transcript.pyannote[3014].end 20899.98846875
transcript.pyannote[3015].speaker SPEAKER_40
transcript.pyannote[3015].start 20900.24159375
transcript.pyannote[3015].end 20904.73034375
transcript.pyannote[3016].speaker SPEAKER_40
transcript.pyannote[3016].start 20905.27034375
transcript.pyannote[3016].end 20913.40409375
transcript.pyannote[3017].speaker SPEAKER_40
transcript.pyannote[3017].start 20913.84284375
transcript.pyannote[3017].end 20922.28034375
transcript.pyannote[3018].speaker SPEAKER_40
transcript.pyannote[3018].start 20922.87096875
transcript.pyannote[3018].end 20924.64284375
transcript.pyannote[3019].speaker SPEAKER_40
transcript.pyannote[3019].start 20925.63846875
transcript.pyannote[3019].end 20927.93346875
transcript.pyannote[3020].speaker SPEAKER_14
transcript.pyannote[3020].start 20930.31284375
transcript.pyannote[3020].end 20934.36284375
transcript.pyannote[3021].speaker SPEAKER_14
transcript.pyannote[3021].start 20935.86471875
transcript.pyannote[3021].end 20936.57346875
transcript.pyannote[3022].speaker SPEAKER_14
transcript.pyannote[3022].start 20937.73784375
transcript.pyannote[3022].end 20939.34096875
transcript.pyannote[3023].speaker SPEAKER_14
transcript.pyannote[3023].start 20941.09596875
transcript.pyannote[3023].end 20943.18846875
transcript.pyannote[3024].speaker SPEAKER_18
transcript.pyannote[3024].start 20942.96909375
transcript.pyannote[3024].end 20943.88034375
transcript.pyannote[3025].speaker SPEAKER_18
transcript.pyannote[3025].start 20945.24721875
transcript.pyannote[3025].end 20951.03534375
transcript.pyannote[3026].speaker SPEAKER_14
transcript.pyannote[3026].start 20951.03534375
transcript.pyannote[3026].end 20955.65909375
transcript.pyannote[3027].speaker SPEAKER_14
transcript.pyannote[3027].start 20959.01721875
transcript.pyannote[3027].end 20959.59096875
transcript.pyannote[3028].speaker SPEAKER_14
transcript.pyannote[3028].start 20960.13096875
transcript.pyannote[3028].end 20965.31159375
transcript.pyannote[3029].speaker SPEAKER_14
transcript.pyannote[3029].start 20966.23971875
transcript.pyannote[3029].end 20967.96096875
transcript.pyannote[3030].speaker SPEAKER_40
transcript.pyannote[3030].start 20966.88096875
transcript.pyannote[3030].end 20970.67784375
transcript.pyannote[3031].speaker SPEAKER_14
transcript.pyannote[3031].start 20970.07034375
transcript.pyannote[3031].end 20972.23034375
transcript.pyannote[3032].speaker SPEAKER_40
transcript.pyannote[3032].start 20971.21784375
transcript.pyannote[3032].end 20976.55034375
transcript.pyannote[3033].speaker SPEAKER_40
transcript.pyannote[3033].start 20976.90471875
transcript.pyannote[3033].end 20977.47846875
transcript.pyannote[3034].speaker SPEAKER_40
transcript.pyannote[3034].start 20978.10284375
transcript.pyannote[3034].end 21031.86659375
transcript.pyannote[3035].speaker SPEAKER_13
transcript.pyannote[3035].start 21031.00596875
transcript.pyannote[3035].end 21033.55409375
transcript.pyannote[3036].speaker SPEAKER_14
transcript.pyannote[3036].start 21036.01784375
transcript.pyannote[3036].end 21039.67971875
transcript.pyannote[3037].speaker SPEAKER_14
transcript.pyannote[3037].start 21041.99159375
transcript.pyannote[3037].end 21042.32909375
transcript.pyannote[3038].speaker SPEAKER_31
transcript.pyannote[3038].start 21043.42596875
transcript.pyannote[3038].end 21045.26534375
transcript.pyannote[3039].speaker SPEAKER_31
transcript.pyannote[3039].start 21048.21846875
transcript.pyannote[3039].end 21048.92721875
transcript.pyannote[3040].speaker SPEAKER_31
transcript.pyannote[3040].start 21048.97784375
transcript.pyannote[3040].end 21049.02846875
transcript.pyannote[3041].speaker SPEAKER_31
transcript.pyannote[3041].start 21050.00721875
transcript.pyannote[3041].end 21052.84221875
transcript.pyannote[3042].speaker SPEAKER_24
transcript.pyannote[3042].start 21054.09096875
transcript.pyannote[3042].end 21056.40284375
transcript.pyannote[3043].speaker SPEAKER_24
transcript.pyannote[3043].start 21060.35159375
transcript.pyannote[3043].end 21060.40221875
transcript.pyannote[3044].speaker SPEAKER_27
transcript.pyannote[3044].start 21060.40221875
transcript.pyannote[3044].end 21060.82409375
transcript.pyannote[3045].speaker SPEAKER_27
transcript.pyannote[3045].start 21062.52846875
transcript.pyannote[3045].end 21067.42221875
transcript.pyannote[3046].speaker SPEAKER_14
transcript.pyannote[3046].start 21066.62909375
transcript.pyannote[3046].end 21067.37159375
transcript.pyannote[3047].speaker SPEAKER_14
transcript.pyannote[3047].start 21067.42221875
transcript.pyannote[3047].end 21067.43909375
transcript.pyannote[3048].speaker SPEAKER_27
transcript.pyannote[3048].start 21067.43909375
transcript.pyannote[3048].end 21067.54034375
transcript.pyannote[3049].speaker SPEAKER_14
transcript.pyannote[3049].start 21067.54034375
transcript.pyannote[3049].end 21067.55721875
transcript.pyannote[3050].speaker SPEAKER_14
transcript.pyannote[3050].start 21068.18159375
transcript.pyannote[3050].end 21070.10534375
transcript.pyannote[3051].speaker SPEAKER_14
transcript.pyannote[3051].start 21070.96596875
transcript.pyannote[3051].end 21071.42159375
transcript.pyannote[3052].speaker SPEAKER_14
transcript.pyannote[3052].start 21072.70409375
transcript.pyannote[3052].end 21073.42971875
transcript.pyannote[3053].speaker SPEAKER_14
transcript.pyannote[3053].start 21074.27346875
transcript.pyannote[3053].end 21076.46721875
transcript.pyannote[3054].speaker SPEAKER_14
transcript.pyannote[3054].start 21078.13784375
transcript.pyannote[3054].end 21079.85909375
transcript.pyannote[3055].speaker SPEAKER_05
transcript.pyannote[3055].start 21080.11221875
transcript.pyannote[3055].end 21082.23846875
transcript.pyannote[3056].speaker SPEAKER_14
transcript.pyannote[3056].start 21080.68596875
transcript.pyannote[3056].end 21083.13284375
transcript.pyannote[3057].speaker SPEAKER_05
transcript.pyannote[3057].start 21083.84159375
transcript.pyannote[3057].end 21083.97659375
transcript.pyannote[3058].speaker SPEAKER_30
transcript.pyannote[3058].start 21083.97659375
transcript.pyannote[3058].end 21084.12846875
transcript.pyannote[3059].speaker SPEAKER_05
transcript.pyannote[3059].start 21084.12846875
transcript.pyannote[3059].end 21084.21284375
transcript.pyannote[3060].speaker SPEAKER_14
transcript.pyannote[3060].start 21084.51659375
transcript.pyannote[3060].end 21090.27096875
transcript.pyannote[3061].speaker SPEAKER_30
transcript.pyannote[3061].start 21091.31721875
transcript.pyannote[3061].end 21091.70534375
transcript.pyannote[3062].speaker SPEAKER_14
transcript.pyannote[3062].start 21091.70534375
transcript.pyannote[3062].end 21095.45159375
transcript.pyannote[3063].speaker SPEAKER_30
transcript.pyannote[3063].start 21091.72221875
transcript.pyannote[3063].end 21091.97534375
transcript.pyannote[3064].speaker SPEAKER_14
transcript.pyannote[3064].start 21095.60346875
transcript.pyannote[3064].end 21101.44221875
transcript.pyannote[3065].speaker SPEAKER_30
transcript.pyannote[3065].start 21096.91971875
transcript.pyannote[3065].end 21098.05034375
transcript.pyannote[3066].speaker SPEAKER_31
transcript.pyannote[3066].start 21098.05034375
transcript.pyannote[3066].end 21098.26971875
transcript.pyannote[3067].speaker SPEAKER_30
transcript.pyannote[3067].start 21098.26971875
transcript.pyannote[3067].end 21098.55659375
transcript.pyannote[3068].speaker SPEAKER_31
transcript.pyannote[3068].start 21098.55659375
transcript.pyannote[3068].end 21098.69159375
transcript.pyannote[3069].speaker SPEAKER_31
transcript.pyannote[3069].start 21101.66159375
transcript.pyannote[3069].end 21102.92721875
transcript.pyannote[3070].speaker SPEAKER_29
transcript.pyannote[3070].start 21102.92721875
transcript.pyannote[3070].end 21103.70346875
transcript.pyannote[3071].speaker SPEAKER_31
transcript.pyannote[3071].start 21103.70346875
transcript.pyannote[3071].end 21103.88909375
transcript.pyannote[3072].speaker SPEAKER_29
transcript.pyannote[3072].start 21103.88909375
transcript.pyannote[3072].end 21103.90596875
transcript.pyannote[3073].speaker SPEAKER_31
transcript.pyannote[3073].start 21103.90596875
transcript.pyannote[3073].end 21104.05784375
transcript.pyannote[3074].speaker SPEAKER_29
transcript.pyannote[3074].start 21104.05784375
transcript.pyannote[3074].end 21104.14221875
transcript.pyannote[3075].speaker SPEAKER_31
transcript.pyannote[3075].start 21104.14221875
transcript.pyannote[3075].end 21104.19284375
transcript.pyannote[3076].speaker SPEAKER_29
transcript.pyannote[3076].start 21104.19284375
transcript.pyannote[3076].end 21104.20971875
transcript.pyannote[3077].speaker SPEAKER_29
transcript.pyannote[3077].start 21104.54721875
transcript.pyannote[3077].end 21106.74096875
transcript.pyannote[3078].speaker SPEAKER_29
transcript.pyannote[3078].start 21106.84221875
transcript.pyannote[3078].end 21106.92659375
transcript.pyannote[3079].speaker SPEAKER_29
transcript.pyannote[3079].start 21106.97721875
transcript.pyannote[3079].end 21107.02784375
transcript.pyannote[3080].speaker SPEAKER_29
transcript.pyannote[3080].start 21107.09534375
transcript.pyannote[3080].end 21108.69846875
transcript.pyannote[3081].speaker SPEAKER_14
transcript.pyannote[3081].start 21108.34409375
transcript.pyannote[3081].end 21109.03596875
transcript.pyannote[3082].speaker SPEAKER_14
transcript.pyannote[3082].start 21109.32284375
transcript.pyannote[3082].end 21111.02721875
transcript.pyannote[3083].speaker SPEAKER_14
transcript.pyannote[3083].start 21111.44909375
transcript.pyannote[3083].end 21113.49096875
transcript.pyannote[3084].speaker SPEAKER_31
transcript.pyannote[3084].start 21117.82784375
transcript.pyannote[3084].end 21119.05971875
transcript.pyannote[3085].speaker SPEAKER_31
transcript.pyannote[3085].start 21119.54909375
transcript.pyannote[3085].end 21121.40534375
transcript.pyannote[3086].speaker SPEAKER_31
transcript.pyannote[3086].start 21121.87784375
transcript.pyannote[3086].end 21123.21096875
transcript.pyannote[3087].speaker SPEAKER_31
transcript.pyannote[3087].start 21124.98284375
transcript.pyannote[3087].end 21125.89409375
transcript.pyannote[3088].speaker SPEAKER_31
transcript.pyannote[3088].start 21128.71221875
transcript.pyannote[3088].end 21129.26909375
transcript.pyannote[3089].speaker SPEAKER_31
transcript.pyannote[3089].start 21130.48409375
transcript.pyannote[3089].end 21135.64784375
transcript.pyannote[3090].speaker SPEAKER_31
transcript.pyannote[3090].start 21136.42409375
transcript.pyannote[3090].end 21144.54096875
transcript.pyannote[3091].speaker SPEAKER_00
transcript.pyannote[3091].start 21136.54221875
transcript.pyannote[3091].end 21136.82909375
transcript.pyannote[3092].speaker SPEAKER_31
transcript.pyannote[3092].start 21145.65471875
transcript.pyannote[3092].end 21146.83596875
transcript.pyannote[3093].speaker SPEAKER_31
transcript.pyannote[3093].start 21147.27471875
transcript.pyannote[3093].end 21150.31221875
transcript.pyannote[3094].speaker SPEAKER_14
transcript.pyannote[3094].start 21151.74659375
transcript.pyannote[3094].end 21155.98221875
transcript.pyannote[3095].speaker SPEAKER_14
transcript.pyannote[3095].start 21157.60221875
transcript.pyannote[3095].end 21162.79971875
transcript.pyannote[3096].speaker SPEAKER_08
transcript.pyannote[3096].start 21166.22534375
transcript.pyannote[3096].end 21176.16471875
transcript.pyannote[3097].speaker SPEAKER_08
transcript.pyannote[3097].start 21176.75534375
transcript.pyannote[3097].end 21199.77284375
transcript.pyannote[3098].speaker SPEAKER_14
transcript.pyannote[3098].start 21204.29534375
transcript.pyannote[3098].end 21210.03284375
transcript.pyannote[3099].speaker SPEAKER_18
transcript.pyannote[3099].start 21210.03284375
transcript.pyannote[3099].end 21251.30909375
transcript.pyannote[3100].speaker SPEAKER_14
transcript.pyannote[3100].start 21253.63784375
transcript.pyannote[3100].end 21253.67159375
transcript.pyannote[3101].speaker SPEAKER_18
transcript.pyannote[3101].start 21253.67159375
transcript.pyannote[3101].end 21254.97096875
transcript.pyannote[3102].speaker SPEAKER_14
transcript.pyannote[3102].start 21254.97096875
transcript.pyannote[3102].end 21255.66284375
transcript.pyannote[3103].speaker SPEAKER_13
transcript.pyannote[3103].start 21257.48534375
transcript.pyannote[3103].end 21259.67909375
transcript.pyannote[3104].speaker SPEAKER_13
transcript.pyannote[3104].start 21260.11784375
transcript.pyannote[3104].end 21262.98659375
transcript.pyannote[3105].speaker SPEAKER_13
transcript.pyannote[3105].start 21263.72909375
transcript.pyannote[3105].end 21264.43784375
transcript.pyannote[3106].speaker SPEAKER_13
transcript.pyannote[3106].start 21266.12534375
transcript.pyannote[3106].end 21267.28971875
transcript.pyannote[3107].speaker SPEAKER_13
transcript.pyannote[3107].start 21268.74096875
transcript.pyannote[3107].end 21282.37596875
transcript.pyannote[3108].speaker SPEAKER_13
transcript.pyannote[3108].start 21282.88221875
transcript.pyannote[3108].end 21297.36096875
transcript.pyannote[3109].speaker SPEAKER_13
transcript.pyannote[3109].start 21297.69846875
transcript.pyannote[3109].end 21306.01784375
transcript.pyannote[3110].speaker SPEAKER_13
transcript.pyannote[3110].start 21306.82784375
transcript.pyannote[3110].end 21332.57909375
transcript.pyannote[3111].speaker SPEAKER_13
transcript.pyannote[3111].start 21333.16971875
transcript.pyannote[3111].end 21344.71221875
transcript.pyannote[3112].speaker SPEAKER_13
transcript.pyannote[3112].start 21345.20159375
transcript.pyannote[3112].end 21348.99846875
transcript.pyannote[3113].speaker SPEAKER_13
transcript.pyannote[3113].start 21349.90971875
transcript.pyannote[3113].end 21352.27221875
transcript.pyannote[3114].speaker SPEAKER_13
transcript.pyannote[3114].start 21352.54221875
transcript.pyannote[3114].end 21366.97034375
transcript.pyannote[3115].speaker SPEAKER_13
transcript.pyannote[3115].start 21367.42596875
transcript.pyannote[3115].end 21370.39596875
transcript.pyannote[3116].speaker SPEAKER_13
transcript.pyannote[3116].start 21370.73346875
transcript.pyannote[3116].end 21371.44221875
transcript.pyannote[3117].speaker SPEAKER_13
transcript.pyannote[3117].start 21371.67846875
transcript.pyannote[3117].end 21400.75409375
transcript.pyannote[3118].speaker SPEAKER_14
transcript.pyannote[3118].start 21402.34034375
transcript.pyannote[3118].end 21403.60596875
transcript.pyannote[3119].speaker SPEAKER_14
transcript.pyannote[3119].start 21404.24721875
transcript.pyannote[3119].end 21407.21721875
transcript.pyannote[3120].speaker SPEAKER_14
transcript.pyannote[3120].start 21410.30534375
transcript.pyannote[3120].end 21412.44846875
transcript.pyannote[3121].speaker SPEAKER_24
transcript.pyannote[3121].start 21412.44846875
transcript.pyannote[3121].end 21412.46534375
transcript.pyannote[3122].speaker SPEAKER_18
transcript.pyannote[3122].start 21413.24159375
transcript.pyannote[3122].end 21464.05221875
transcript.pyannote[3123].speaker SPEAKER_18
transcript.pyannote[3123].start 21464.65971875
transcript.pyannote[3123].end 21478.86846875
transcript.pyannote[3124].speaker SPEAKER_18
transcript.pyannote[3124].start 21479.30721875
transcript.pyannote[3124].end 21568.37346875
transcript.pyannote[3125].speaker SPEAKER_24
transcript.pyannote[3125].start 21571.00596875
transcript.pyannote[3125].end 21572.08596875
transcript.pyannote[3126].speaker SPEAKER_24
transcript.pyannote[3126].start 21572.55846875
transcript.pyannote[3126].end 21577.36784375
transcript.pyannote[3127].speaker SPEAKER_18
transcript.pyannote[3127].start 21579.24096875
transcript.pyannote[3127].end 21594.76596875
transcript.pyannote[3128].speaker SPEAKER_18
transcript.pyannote[3128].start 21594.91784375
transcript.pyannote[3128].end 21608.38409375
transcript.pyannote[3129].speaker SPEAKER_18
transcript.pyannote[3129].start 21608.50221875
transcript.pyannote[3129].end 21636.17721875
transcript.pyannote[3130].speaker SPEAKER_02
transcript.pyannote[3130].start 21608.73846875
transcript.pyannote[3130].end 21609.27846875
transcript.pyannote[3131].speaker SPEAKER_02
transcript.pyannote[3131].start 21610.27409375
transcript.pyannote[3131].end 21610.32471875
transcript.pyannote[3132].speaker SPEAKER_07
transcript.pyannote[3132].start 21610.32471875
transcript.pyannote[3132].end 21610.89846875
transcript.pyannote[3133].speaker SPEAKER_19
transcript.pyannote[3133].start 21632.78534375
transcript.pyannote[3133].end 21633.22409375
transcript.pyannote[3134].speaker SPEAKER_18
transcript.pyannote[3134].start 21636.32909375
transcript.pyannote[3134].end 21659.11034375
transcript.pyannote[3135].speaker SPEAKER_18
transcript.pyannote[3135].start 21659.44784375
transcript.pyannote[3135].end 21676.20471875
transcript.pyannote[3136].speaker SPEAKER_18
transcript.pyannote[3136].start 21676.35659375
transcript.pyannote[3136].end 21678.66846875
transcript.pyannote[3137].speaker SPEAKER_18
transcript.pyannote[3137].start 21679.03971875
transcript.pyannote[3137].end 21681.38534375
transcript.pyannote[3138].speaker SPEAKER_18
transcript.pyannote[3138].start 21681.53721875
transcript.pyannote[3138].end 21690.91971875
transcript.pyannote[3139].speaker SPEAKER_31
transcript.pyannote[3139].start 21689.40096875
transcript.pyannote[3139].end 21690.56534375
transcript.pyannote[3140].speaker SPEAKER_07
transcript.pyannote[3140].start 21690.56534375
transcript.pyannote[3140].end 21690.58221875
transcript.pyannote[3141].speaker SPEAKER_31
transcript.pyannote[3141].start 21693.75471875
transcript.pyannote[3141].end 21696.26909375
transcript.pyannote[3142].speaker SPEAKER_14
transcript.pyannote[3142].start 21694.26096875
transcript.pyannote[3142].end 21695.39159375
transcript.pyannote[3143].speaker SPEAKER_31
transcript.pyannote[3143].start 21696.84284375
transcript.pyannote[3143].end 21697.83846875
transcript.pyannote[3144].speaker SPEAKER_14
transcript.pyannote[3144].start 21699.93096875
transcript.pyannote[3144].end 21700.63971875
transcript.pyannote[3145].speaker SPEAKER_14
transcript.pyannote[3145].start 21703.44096875
transcript.pyannote[3145].end 21704.72346875
transcript.pyannote[3146].speaker SPEAKER_14
transcript.pyannote[3146].start 21705.39846875
transcript.pyannote[3146].end 21706.71471875
transcript.pyannote[3147].speaker SPEAKER_18
transcript.pyannote[3147].start 21707.74409375
transcript.pyannote[3147].end 21712.04721875
transcript.pyannote[3148].speaker SPEAKER_18
transcript.pyannote[3148].start 21712.35096875
transcript.pyannote[3148].end 21713.07659375
transcript.pyannote[3149].speaker SPEAKER_18
transcript.pyannote[3149].start 21713.70096875
transcript.pyannote[3149].end 21715.27034375
transcript.pyannote[3150].speaker SPEAKER_18
transcript.pyannote[3150].start 21718.76346875
transcript.pyannote[3150].end 21719.16846875
transcript.pyannote[3151].speaker SPEAKER_18
transcript.pyannote[3151].start 21719.28659375
transcript.pyannote[3151].end 21724.73721875
transcript.pyannote[3152].speaker SPEAKER_35
transcript.pyannote[3152].start 21719.69159375
transcript.pyannote[3152].end 21720.02909375
transcript.pyannote[3153].speaker SPEAKER_17
transcript.pyannote[3153].start 21720.02909375
transcript.pyannote[3153].end 21720.67034375
transcript.pyannote[3154].speaker SPEAKER_18
transcript.pyannote[3154].start 21726.10409375
transcript.pyannote[3154].end 21727.74096875
transcript.pyannote[3155].speaker SPEAKER_17
transcript.pyannote[3155].start 21727.74096875
transcript.pyannote[3155].end 21740.05971875
transcript.pyannote[3156].speaker SPEAKER_17
transcript.pyannote[3156].start 21740.26221875
transcript.pyannote[3156].end 21750.31971875
transcript.pyannote[3157].speaker SPEAKER_17
transcript.pyannote[3157].start 21750.53909375
transcript.pyannote[3157].end 21754.74096875
transcript.pyannote[3158].speaker SPEAKER_17
transcript.pyannote[3158].start 21754.92659375
transcript.pyannote[3158].end 21769.33784375
transcript.pyannote[3159].speaker SPEAKER_17
transcript.pyannote[3159].start 21769.59096875
transcript.pyannote[3159].end 21774.80534375
transcript.pyannote[3160].speaker SPEAKER_17
transcript.pyannote[3160].start 21775.05846875
transcript.pyannote[3160].end 21779.02409375
transcript.pyannote[3161].speaker SPEAKER_17
transcript.pyannote[3161].start 21779.07471875
transcript.pyannote[3161].end 21779.86784375
transcript.pyannote[3162].speaker SPEAKER_17
transcript.pyannote[3162].start 21780.30659375
transcript.pyannote[3162].end 21790.49909375
transcript.pyannote[3163].speaker SPEAKER_17
transcript.pyannote[3163].start 21790.97159375
transcript.pyannote[3163].end 21793.75596875
transcript.pyannote[3164].speaker SPEAKER_17
transcript.pyannote[3164].start 21793.95846875
transcript.pyannote[3164].end 21845.62971875
transcript.pyannote[3165].speaker SPEAKER_17
transcript.pyannote[3165].start 21846.27096875
transcript.pyannote[3165].end 21862.87596875
transcript.pyannote[3166].speaker SPEAKER_18
transcript.pyannote[3166].start 21861.74534375
transcript.pyannote[3166].end 21868.37721875
transcript.pyannote[3167].speaker SPEAKER_17
transcript.pyannote[3167].start 21869.01846875
transcript.pyannote[3167].end 21882.01221875
transcript.pyannote[3168].speaker SPEAKER_18
transcript.pyannote[3168].start 21880.69596875
transcript.pyannote[3168].end 21897.68909375
transcript.pyannote[3169].speaker SPEAKER_17
transcript.pyannote[3169].start 21897.97596875
transcript.pyannote[3169].end 21924.09846875
transcript.pyannote[3170].speaker SPEAKER_17
transcript.pyannote[3170].start 21924.16596875
transcript.pyannote[3170].end 21931.32096875
transcript.pyannote[3171].speaker SPEAKER_17
transcript.pyannote[3171].start 21931.69221875
transcript.pyannote[3171].end 21931.70909375
transcript.pyannote[3172].speaker SPEAKER_18
transcript.pyannote[3172].start 21931.70909375
transcript.pyannote[3172].end 21938.98221875
transcript.pyannote[3173].speaker SPEAKER_17
transcript.pyannote[3173].start 21939.35346875
transcript.pyannote[3173].end 21947.21721875
transcript.pyannote[3174].speaker SPEAKER_17
transcript.pyannote[3174].start 21948.11159375
transcript.pyannote[3174].end 21948.60096875
transcript.pyannote[3175].speaker SPEAKER_35
transcript.pyannote[3175].start 21948.19596875
transcript.pyannote[3175].end 21948.51659375
transcript.pyannote[3176].speaker SPEAKER_17
transcript.pyannote[3176].start 21949.69784375
transcript.pyannote[3176].end 21962.05034375
transcript.pyannote[3177].speaker SPEAKER_17
transcript.pyannote[3177].start 21962.18534375
transcript.pyannote[3177].end 21965.44221875
transcript.pyannote[3178].speaker SPEAKER_17
transcript.pyannote[3178].start 21965.69534375
transcript.pyannote[3178].end 21974.65596875
transcript.pyannote[3179].speaker SPEAKER_17
transcript.pyannote[3179].start 21974.89221875
transcript.pyannote[3179].end 21994.45034375
transcript.pyannote[3180].speaker SPEAKER_17
transcript.pyannote[3180].start 21994.80471875
transcript.pyannote[3180].end 21995.36159375
transcript.pyannote[3181].speaker SPEAKER_17
transcript.pyannote[3181].start 21995.53034375
transcript.pyannote[3181].end 22003.15784375
transcript.pyannote[3182].speaker SPEAKER_13
transcript.pyannote[3182].start 22004.08596875
transcript.pyannote[3182].end 22007.37659375
transcript.pyannote[3183].speaker SPEAKER_17
transcript.pyannote[3183].start 22006.90409375
transcript.pyannote[3183].end 22008.86159375
transcript.pyannote[3184].speaker SPEAKER_13
transcript.pyannote[3184].start 22008.45659375
transcript.pyannote[3184].end 22035.32159375
transcript.pyannote[3185].speaker SPEAKER_14
transcript.pyannote[3185].start 22036.78971875
transcript.pyannote[3185].end 22039.97909375
transcript.pyannote[3186].speaker SPEAKER_14
transcript.pyannote[3186].start 22040.24909375
transcript.pyannote[3186].end 22064.88659375
transcript.pyannote[3187].speaker SPEAKER_14
transcript.pyannote[3187].start 22065.15659375
transcript.pyannote[3187].end 22075.02846875
transcript.pyannote[3188].speaker SPEAKER_14
transcript.pyannote[3188].start 22075.26471875
transcript.pyannote[3188].end 22077.32346875
transcript.pyannote[3189].speaker SPEAKER_14
transcript.pyannote[3189].start 22077.66096875
transcript.pyannote[3189].end 22079.24721875
transcript.pyannote[3190].speaker SPEAKER_14
transcript.pyannote[3190].start 22079.73659375
transcript.pyannote[3190].end 22083.65159375
transcript.pyannote[3191].speaker SPEAKER_17
transcript.pyannote[3191].start 22083.65159375
transcript.pyannote[3191].end 22096.17284375
transcript.pyannote[3192].speaker SPEAKER_17
transcript.pyannote[3192].start 22096.37534375
transcript.pyannote[3192].end 22097.05034375
transcript.pyannote[3193].speaker SPEAKER_17
transcript.pyannote[3193].start 22097.47221875
transcript.pyannote[3193].end 22101.99471875
transcript.pyannote[3194].speaker SPEAKER_03
transcript.pyannote[3194].start 22100.79659375
transcript.pyannote[3194].end 22100.81346875
transcript.pyannote[3195].speaker SPEAKER_37
transcript.pyannote[3195].start 22100.81346875
transcript.pyannote[3195].end 22102.09596875
transcript.pyannote[3196].speaker SPEAKER_17
transcript.pyannote[3196].start 22102.04534375
transcript.pyannote[3196].end 22107.56346875
transcript.pyannote[3197].speaker SPEAKER_17
transcript.pyannote[3197].start 22107.63096875
transcript.pyannote[3197].end 22108.86284375
transcript.pyannote[3198].speaker SPEAKER_17
transcript.pyannote[3198].start 22109.35221875
transcript.pyannote[3198].end 22113.41909375
transcript.pyannote[3199].speaker SPEAKER_17
transcript.pyannote[3199].start 22114.21221875
transcript.pyannote[3199].end 22119.27471875
transcript.pyannote[3200].speaker SPEAKER_24
transcript.pyannote[3200].start 22118.32971875
transcript.pyannote[3200].end 22119.07221875
transcript.pyannote[3201].speaker SPEAKER_24
transcript.pyannote[3201].start 22119.27471875
transcript.pyannote[3201].end 22120.99596875
transcript.pyannote[3202].speaker SPEAKER_17
transcript.pyannote[3202].start 22121.70471875
transcript.pyannote[3202].end 22126.63221875
transcript.pyannote[3203].speaker SPEAKER_14
transcript.pyannote[3203].start 22124.45534375
transcript.pyannote[3203].end 22124.47221875
transcript.pyannote[3204].speaker SPEAKER_24
transcript.pyannote[3204].start 22124.47221875
transcript.pyannote[3204].end 22124.99534375
transcript.pyannote[3205].speaker SPEAKER_24
transcript.pyannote[3205].start 22125.63659375
transcript.pyannote[3205].end 22127.03721875
transcript.pyannote[3206].speaker SPEAKER_17
transcript.pyannote[3206].start 22127.07096875
transcript.pyannote[3206].end 22138.79909375
transcript.pyannote[3207].speaker SPEAKER_14
transcript.pyannote[3207].start 22130.71596875
transcript.pyannote[3207].end 22130.73284375
transcript.pyannote[3208].speaker SPEAKER_24
transcript.pyannote[3208].start 22130.73284375
transcript.pyannote[3208].end 22131.34034375
transcript.pyannote[3209].speaker SPEAKER_14
transcript.pyannote[3209].start 22131.34034375
transcript.pyannote[3209].end 22131.40784375
transcript.pyannote[3210].speaker SPEAKER_17
transcript.pyannote[3210].start 22138.98471875
transcript.pyannote[3210].end 22143.82784375
transcript.pyannote[3211].speaker SPEAKER_17
transcript.pyannote[3211].start 22144.26659375
transcript.pyannote[3211].end 22149.39659375
transcript.pyannote[3212].speaker SPEAKER_17
transcript.pyannote[3212].start 22149.66659375
transcript.pyannote[3212].end 22150.35846875
transcript.pyannote[3213].speaker SPEAKER_17
transcript.pyannote[3213].start 22150.67909375
transcript.pyannote[3213].end 22154.29034375
transcript.pyannote[3214].speaker SPEAKER_17
transcript.pyannote[3214].start 22154.67846875
transcript.pyannote[3214].end 22162.64346875
transcript.pyannote[3215].speaker SPEAKER_17
transcript.pyannote[3215].start 22163.01471875
transcript.pyannote[3215].end 22163.85846875
transcript.pyannote[3216].speaker SPEAKER_14
transcript.pyannote[3216].start 22163.13284375
transcript.pyannote[3216].end 22163.79096875
transcript.pyannote[3217].speaker SPEAKER_24
transcript.pyannote[3217].start 22163.85846875
transcript.pyannote[3217].end 22166.01846875
transcript.pyannote[3218].speaker SPEAKER_17
transcript.pyannote[3218].start 22166.01846875
transcript.pyannote[3218].end 22177.29096875
transcript.pyannote[3219].speaker SPEAKER_14
transcript.pyannote[3219].start 22170.15284375
transcript.pyannote[3219].end 22170.72659375
transcript.pyannote[3220].speaker SPEAKER_17
transcript.pyannote[3220].start 22177.42596875
transcript.pyannote[3220].end 22180.81784375
transcript.pyannote[3221].speaker SPEAKER_17
transcript.pyannote[3221].start 22180.96971875
transcript.pyannote[3221].end 22191.92159375
transcript.pyannote[3222].speaker SPEAKER_14
transcript.pyannote[3222].start 22191.87096875
transcript.pyannote[3222].end 22212.74534375
transcript.pyannote[3223].speaker SPEAKER_14
transcript.pyannote[3223].start 22213.25159375
transcript.pyannote[3223].end 22215.74909375
transcript.pyannote[3224].speaker SPEAKER_30
transcript.pyannote[3224].start 22215.74909375
transcript.pyannote[3224].end 22216.18784375
transcript.pyannote[3225].speaker SPEAKER_14
transcript.pyannote[3225].start 22216.18784375
transcript.pyannote[3225].end 22216.74471875
transcript.pyannote[3226].speaker SPEAKER_14
transcript.pyannote[3226].start 22216.81221875
transcript.pyannote[3226].end 22220.94659375
transcript.pyannote[3227].speaker SPEAKER_14
transcript.pyannote[3227].start 22221.35159375
transcript.pyannote[3227].end 22224.50721875
transcript.pyannote[3228].speaker SPEAKER_27
transcript.pyannote[3228].start 22223.64659375
transcript.pyannote[3228].end 22225.55346875
transcript.pyannote[3229].speaker SPEAKER_14
transcript.pyannote[3229].start 22225.24971875
transcript.pyannote[3229].end 22229.80596875
transcript.pyannote[3230].speaker SPEAKER_14
transcript.pyannote[3230].start 22229.95784375
transcript.pyannote[3230].end 22232.82659375
transcript.pyannote[3231].speaker SPEAKER_17
transcript.pyannote[3231].start 22231.08846875
transcript.pyannote[3231].end 22231.69596875
transcript.pyannote[3232].speaker SPEAKER_17
transcript.pyannote[3232].start 22232.38784375
transcript.pyannote[3232].end 22232.48909375
transcript.pyannote[3233].speaker SPEAKER_17
transcript.pyannote[3233].start 22232.82659375
transcript.pyannote[3233].end 22232.84346875
transcript.pyannote[3234].speaker SPEAKER_14
transcript.pyannote[3234].start 22232.84346875
transcript.pyannote[3234].end 22233.02909375
transcript.pyannote[3235].speaker SPEAKER_17
transcript.pyannote[3235].start 22233.02909375
transcript.pyannote[3235].end 22240.18409375
transcript.pyannote[3236].speaker SPEAKER_14
transcript.pyannote[3236].start 22233.92346875
transcript.pyannote[3236].end 22234.42971875
transcript.pyannote[3237].speaker SPEAKER_14
transcript.pyannote[3237].start 22238.49659375
transcript.pyannote[3237].end 22240.16721875
transcript.pyannote[3238].speaker SPEAKER_17
transcript.pyannote[3238].start 22240.69034375
transcript.pyannote[3238].end 22252.68846875
transcript.pyannote[3239].speaker SPEAKER_14
transcript.pyannote[3239].start 22241.12909375
transcript.pyannote[3239].end 22241.97284375
transcript.pyannote[3240].speaker SPEAKER_07
transcript.pyannote[3240].start 22241.97284375
transcript.pyannote[3240].end 22242.02346875
transcript.pyannote[3241].speaker SPEAKER_07
transcript.pyannote[3241].start 22249.71846875
transcript.pyannote[3241].end 22249.75221875
transcript.pyannote[3242].speaker SPEAKER_22
transcript.pyannote[3242].start 22249.75221875
transcript.pyannote[3242].end 22250.12346875
transcript.pyannote[3243].speaker SPEAKER_22
transcript.pyannote[3243].start 22254.54471875
transcript.pyannote[3243].end 22254.93284375
transcript.pyannote[3244].speaker SPEAKER_22
transcript.pyannote[3244].start 22254.96659375
transcript.pyannote[3244].end 22255.03409375
transcript.pyannote[3245].speaker SPEAKER_22
transcript.pyannote[3245].start 22255.96221875
transcript.pyannote[3245].end 22256.02971875
transcript.pyannote[3246].speaker SPEAKER_17
transcript.pyannote[3246].start 22257.59909375
transcript.pyannote[3246].end 22257.63284375
transcript.pyannote[3247].speaker SPEAKER_14
transcript.pyannote[3247].start 22257.63284375
transcript.pyannote[3247].end 22258.54409375
transcript.pyannote[3248].speaker SPEAKER_14
transcript.pyannote[3248].start 22260.04596875
transcript.pyannote[3248].end 22262.40846875
transcript.pyannote[3249].speaker SPEAKER_14
transcript.pyannote[3249].start 22263.35346875
transcript.pyannote[3249].end 22263.38721875
transcript.pyannote[3250].speaker SPEAKER_24
transcript.pyannote[3250].start 22263.38721875
transcript.pyannote[3250].end 22264.29846875
transcript.pyannote[3251].speaker SPEAKER_14
transcript.pyannote[3251].start 22264.29846875
transcript.pyannote[3251].end 22266.13784375
transcript.pyannote[3252].speaker SPEAKER_14
transcript.pyannote[3252].start 22267.70721875
transcript.pyannote[3252].end 22268.17971875
transcript.pyannote[3253].speaker SPEAKER_14
transcript.pyannote[3253].start 22269.59721875
transcript.pyannote[3253].end 22271.79096875
transcript.pyannote[3254].speaker SPEAKER_14
transcript.pyannote[3254].start 22273.03971875
transcript.pyannote[3254].end 22276.51596875
transcript.pyannote[3255].speaker SPEAKER_14
transcript.pyannote[3255].start 22276.97159375
transcript.pyannote[3255].end 22277.03909375
transcript.pyannote[3256].speaker SPEAKER_14
transcript.pyannote[3256].start 22277.14034375
transcript.pyannote[3256].end 22278.89534375
transcript.pyannote[3257].speaker SPEAKER_14
transcript.pyannote[3257].start 22278.96284375
transcript.pyannote[3257].end 22279.23284375
transcript.pyannote[3258].speaker SPEAKER_30
transcript.pyannote[3258].start 22279.23284375
transcript.pyannote[3258].end 22279.24971875
transcript.pyannote[3259].speaker SPEAKER_14
transcript.pyannote[3259].start 22279.24971875
transcript.pyannote[3259].end 22279.28346875
transcript.pyannote[3260].speaker SPEAKER_30
transcript.pyannote[3260].start 22279.28346875
transcript.pyannote[3260].end 22279.38471875
transcript.pyannote[3261].speaker SPEAKER_14
transcript.pyannote[3261].start 22279.38471875
transcript.pyannote[3261].end 22279.40159375
transcript.pyannote[3262].speaker SPEAKER_14
transcript.pyannote[3262].start 22280.61659375
transcript.pyannote[3262].end 22281.10596875
transcript.pyannote[3263].speaker SPEAKER_14
transcript.pyannote[3263].start 22283.80596875
transcript.pyannote[3263].end 22285.83096875
transcript.pyannote[3264].speaker SPEAKER_14
transcript.pyannote[3264].start 22286.01659375
transcript.pyannote[3264].end 22303.48221875
transcript.pyannote[3265].speaker SPEAKER_27
transcript.pyannote[3265].start 22300.19159375
transcript.pyannote[3265].end 22300.32659375
transcript.pyannote[3266].speaker SPEAKER_30
transcript.pyannote[3266].start 22300.32659375
transcript.pyannote[3266].end 22300.34346875
transcript.pyannote[3267].speaker SPEAKER_27
transcript.pyannote[3267].start 22303.48221875
transcript.pyannote[3267].end 22303.70159375
transcript.pyannote[3268].speaker SPEAKER_14
transcript.pyannote[3268].start 22304.49471875
transcript.pyannote[3268].end 22311.07596875
transcript.pyannote[3269].speaker SPEAKER_14
transcript.pyannote[3269].start 22311.78471875
transcript.pyannote[3269].end 22314.13034375
transcript.pyannote[3270].speaker SPEAKER_18
transcript.pyannote[3270].start 22316.52659375
transcript.pyannote[3270].end 22316.57721875
transcript.pyannote[3271].speaker SPEAKER_14
transcript.pyannote[3271].start 22316.57721875
transcript.pyannote[3271].end 22317.23534375
transcript.pyannote[3272].speaker SPEAKER_18
transcript.pyannote[3272].start 22316.79659375
transcript.pyannote[3272].end 22319.02409375
transcript.pyannote[3273].speaker SPEAKER_30
transcript.pyannote[3273].start 22317.23534375
transcript.pyannote[3273].end 22317.26909375
transcript.pyannote[3274].speaker SPEAKER_18
transcript.pyannote[3274].start 22321.28534375
transcript.pyannote[3274].end 22324.12034375
transcript.pyannote[3275].speaker SPEAKER_05
transcript.pyannote[3275].start 22324.69409375
transcript.pyannote[3275].end 22325.41971875
transcript.pyannote[3276].speaker SPEAKER_14
transcript.pyannote[3276].start 22326.49971875
transcript.pyannote[3276].end 22330.68471875
transcript.pyannote[3277].speaker SPEAKER_18
transcript.pyannote[3277].start 22328.03534375
transcript.pyannote[3277].end 22328.33909375
transcript.pyannote[3278].speaker SPEAKER_18
transcript.pyannote[3278].start 22331.51159375
transcript.pyannote[3278].end 22331.96721875
transcript.pyannote[3279].speaker SPEAKER_18
transcript.pyannote[3279].start 22332.08534375
transcript.pyannote[3279].end 22336.01721875
transcript.pyannote[3280].speaker SPEAKER_18
transcript.pyannote[3280].start 22336.59096875
transcript.pyannote[3280].end 22339.07159375
transcript.pyannote[3281].speaker SPEAKER_18
transcript.pyannote[3281].start 22339.52721875
transcript.pyannote[3281].end 22344.15096875
transcript.pyannote[3282].speaker SPEAKER_14
transcript.pyannote[3282].start 22343.45909375
transcript.pyannote[3282].end 22359.84471875
transcript.pyannote[3283].speaker SPEAKER_18
transcript.pyannote[3283].start 22351.40721875
transcript.pyannote[3283].end 22351.50846875
transcript.pyannote[3284].speaker SPEAKER_37
transcript.pyannote[3284].start 22351.50846875
transcript.pyannote[3284].end 22351.60971875
transcript.pyannote[3285].speaker SPEAKER_18
transcript.pyannote[3285].start 22351.60971875
transcript.pyannote[3285].end 22351.67721875
transcript.pyannote[3286].speaker SPEAKER_37
transcript.pyannote[3286].start 22351.67721875
transcript.pyannote[3286].end 22351.69409375
transcript.pyannote[3287].speaker SPEAKER_18
transcript.pyannote[3287].start 22351.69409375
transcript.pyannote[3287].end 22351.71096875
transcript.pyannote[3288].speaker SPEAKER_37
transcript.pyannote[3288].start 22351.71096875
transcript.pyannote[3288].end 22351.72784375
transcript.pyannote[3289].speaker SPEAKER_18
transcript.pyannote[3289].start 22351.72784375
transcript.pyannote[3289].end 22351.96409375
transcript.pyannote[3290].speaker SPEAKER_00
transcript.pyannote[3290].start 22351.96409375
transcript.pyannote[3290].end 22352.13284375
transcript.pyannote[3291].speaker SPEAKER_29
transcript.pyannote[3291].start 22353.68534375
transcript.pyannote[3291].end 22354.25909375
transcript.pyannote[3292].speaker SPEAKER_00
transcript.pyannote[3292].start 22354.25909375
transcript.pyannote[3292].end 22354.32659375
transcript.pyannote[3293].speaker SPEAKER_00
transcript.pyannote[3293].start 22356.60471875
transcript.pyannote[3293].end 22356.63846875
transcript.pyannote[3294].speaker SPEAKER_29
transcript.pyannote[3294].start 22356.63846875
transcript.pyannote[3294].end 22356.97596875
transcript.pyannote[3295].speaker SPEAKER_00
transcript.pyannote[3295].start 22356.97596875
transcript.pyannote[3295].end 22357.00971875
transcript.pyannote[3296].speaker SPEAKER_14
transcript.pyannote[3296].start 22361.73471875
transcript.pyannote[3296].end 22366.51034375
transcript.pyannote[3297].speaker SPEAKER_18
transcript.pyannote[3297].start 22366.74659375
transcript.pyannote[3297].end 22367.89409375
transcript.pyannote[3298].speaker SPEAKER_14
transcript.pyannote[3298].start 22367.43846875
transcript.pyannote[3298].end 22372.73721875
transcript.pyannote[3299].speaker SPEAKER_14
transcript.pyannote[3299].start 22372.99034375
transcript.pyannote[3299].end 22373.00721875
transcript.pyannote[3300].speaker SPEAKER_31
transcript.pyannote[3300].start 22373.00721875
transcript.pyannote[3300].end 22373.09159375
transcript.pyannote[3301].speaker SPEAKER_14
transcript.pyannote[3301].start 22373.09159375
transcript.pyannote[3301].end 22373.96909375
transcript.pyannote[3302].speaker SPEAKER_31
transcript.pyannote[3302].start 22373.96909375
transcript.pyannote[3302].end 22374.35721875
transcript.pyannote[3303].speaker SPEAKER_31
transcript.pyannote[3303].start 22374.74534375
transcript.pyannote[3303].end 22378.54221875
transcript.pyannote[3304].speaker SPEAKER_31
transcript.pyannote[3304].start 22379.14971875
transcript.pyannote[3304].end 22384.76909375
transcript.pyannote[3305].speaker SPEAKER_31
transcript.pyannote[3305].start 22384.98846875
transcript.pyannote[3305].end 22386.86159375
transcript.pyannote[3306].speaker SPEAKER_31
transcript.pyannote[3306].start 22388.83596875
transcript.pyannote[3306].end 22391.04659375
transcript.pyannote[3307].speaker SPEAKER_14
transcript.pyannote[3307].start 22391.04659375
transcript.pyannote[3307].end 22391.06346875
transcript.pyannote[3308].speaker SPEAKER_14
transcript.pyannote[3308].start 22397.71221875
transcript.pyannote[3308].end 22403.21346875
transcript.pyannote[3309].speaker SPEAKER_08
transcript.pyannote[3309].start 22405.18784375
transcript.pyannote[3309].end 22448.03346875
transcript.pyannote[3310].speaker SPEAKER_08
transcript.pyannote[3310].start 22448.48909375
transcript.pyannote[3310].end 22454.26034375
transcript.pyannote[3311].speaker SPEAKER_08
transcript.pyannote[3311].start 22454.69909375
transcript.pyannote[3311].end 22459.79534375
transcript.pyannote[3312].speaker SPEAKER_08
transcript.pyannote[3312].start 22460.53784375
transcript.pyannote[3312].end 22471.05096875
transcript.pyannote[3313].speaker SPEAKER_08
transcript.pyannote[3313].start 22471.33784375
transcript.pyannote[3313].end 22476.92346875
transcript.pyannote[3314].speaker SPEAKER_08
transcript.pyannote[3314].start 22478.22284375
transcript.pyannote[3314].end 22487.06534375
transcript.pyannote[3315].speaker SPEAKER_08
transcript.pyannote[3315].start 22489.95096875
transcript.pyannote[3315].end 22489.96784375
transcript.pyannote[3316].speaker SPEAKER_14
transcript.pyannote[3316].start 22489.96784375
transcript.pyannote[3316].end 22492.02659375
transcript.pyannote[3317].speaker SPEAKER_13
transcript.pyannote[3317].start 22492.93784375
transcript.pyannote[3317].end 22498.75971875
transcript.pyannote[3318].speaker SPEAKER_13
transcript.pyannote[3318].start 22499.38409375
transcript.pyannote[3318].end 22519.92096875
transcript.pyannote[3319].speaker SPEAKER_13
transcript.pyannote[3319].start 22520.42721875
transcript.pyannote[3319].end 22561.97346875
transcript.pyannote[3320].speaker SPEAKER_13
transcript.pyannote[3320].start 22562.26034375
transcript.pyannote[3320].end 22580.95784375
transcript.pyannote[3321].speaker SPEAKER_13
transcript.pyannote[3321].start 22581.36284375
transcript.pyannote[3321].end 22591.33596875
transcript.pyannote[3322].speaker SPEAKER_24
transcript.pyannote[3322].start 22597.17471875
transcript.pyannote[3322].end 22597.19159375
transcript.pyannote[3323].speaker SPEAKER_18
transcript.pyannote[3323].start 22597.19159375
transcript.pyannote[3323].end 22660.77659375
transcript.pyannote[3324].speaker SPEAKER_18
transcript.pyannote[3324].start 22660.92846875
transcript.pyannote[3324].end 22665.53534375
transcript.pyannote[3325].speaker SPEAKER_18
transcript.pyannote[3325].start 22666.14284375
transcript.pyannote[3325].end 22666.54784375
transcript.pyannote[3326].speaker SPEAKER_18
transcript.pyannote[3326].start 22670.83409375
transcript.pyannote[3326].end 22670.96909375
transcript.pyannote[3327].speaker SPEAKER_14
transcript.pyannote[3327].start 22670.96909375
transcript.pyannote[3327].end 22673.04471875
transcript.pyannote[3328].speaker SPEAKER_14
transcript.pyannote[3328].start 22677.21284375
transcript.pyannote[3328].end 22677.61784375
transcript.pyannote[3329].speaker SPEAKER_14
transcript.pyannote[3329].start 22677.97221875
transcript.pyannote[3329].end 22684.31721875
transcript.pyannote[3330].speaker SPEAKER_39
transcript.pyannote[3330].start 22683.47346875
transcript.pyannote[3330].end 22684.21596875
transcript.pyannote[3331].speaker SPEAKER_30
transcript.pyannote[3331].start 22684.21596875
transcript.pyannote[3331].end 22684.97534375
transcript.pyannote[3332].speaker SPEAKER_14
transcript.pyannote[3332].start 22684.80659375
transcript.pyannote[3332].end 22685.32971875
transcript.pyannote[3333].speaker SPEAKER_39
transcript.pyannote[3333].start 22684.97534375
transcript.pyannote[3333].end 22685.27909375
transcript.pyannote[3334].speaker SPEAKER_39
transcript.pyannote[3334].start 22685.32971875
transcript.pyannote[3334].end 22686.22409375
transcript.pyannote[3335].speaker SPEAKER_14
transcript.pyannote[3335].start 22686.22409375
transcript.pyannote[3335].end 22699.40346875
transcript.pyannote[3336].speaker SPEAKER_39
transcript.pyannote[3336].start 22686.25784375
transcript.pyannote[3336].end 22686.44346875
transcript.pyannote[3337].speaker SPEAKER_30
transcript.pyannote[3337].start 22699.67346875
transcript.pyannote[3337].end 22699.80846875
transcript.pyannote[3338].speaker SPEAKER_14
transcript.pyannote[3338].start 22700.34846875
transcript.pyannote[3338].end 22700.68596875
transcript.pyannote[3339].speaker SPEAKER_14
transcript.pyannote[3339].start 22700.92221875
transcript.pyannote[3339].end 22702.32284375
transcript.pyannote[3340].speaker SPEAKER_05
transcript.pyannote[3340].start 22706.65971875
transcript.pyannote[3340].end 22707.03096875
transcript.pyannote[3341].speaker SPEAKER_18
transcript.pyannote[3341].start 22707.03096875
transcript.pyannote[3341].end 22712.17784375
transcript.pyannote[3342].speaker SPEAKER_30
transcript.pyannote[3342].start 22712.17784375
transcript.pyannote[3342].end 22712.63346875
transcript.pyannote[3343].speaker SPEAKER_18
transcript.pyannote[3343].start 22712.58284375
transcript.pyannote[3343].end 22721.72909375
transcript.pyannote[3344].speaker SPEAKER_18
transcript.pyannote[3344].start 22722.15096875
transcript.pyannote[3344].end 22729.01909375
transcript.pyannote[3345].speaker SPEAKER_18
transcript.pyannote[3345].start 22729.39034375
transcript.pyannote[3345].end 22764.62534375
transcript.pyannote[3346].speaker SPEAKER_14
transcript.pyannote[3346].start 22773.73784375
transcript.pyannote[3346].end 22773.77159375
transcript.pyannote[3347].speaker SPEAKER_08
transcript.pyannote[3347].start 22773.77159375
transcript.pyannote[3347].end 22775.96534375
transcript.pyannote[3348].speaker SPEAKER_08
transcript.pyannote[3348].start 22776.20159375
transcript.pyannote[3348].end 22776.62346875
transcript.pyannote[3349].speaker SPEAKER_08
transcript.pyannote[3349].start 22777.12971875
transcript.pyannote[3349].end 22787.38971875
transcript.pyannote[3350].speaker SPEAKER_29
transcript.pyannote[3350].start 22778.27721875
transcript.pyannote[3350].end 22778.29409375
transcript.pyannote[3351].speaker SPEAKER_14
transcript.pyannote[3351].start 22778.29409375
transcript.pyannote[3351].end 22779.34034375
transcript.pyannote[3352].speaker SPEAKER_08
transcript.pyannote[3352].start 22790.46096875
transcript.pyannote[3352].end 22791.08534375
transcript.pyannote[3353].speaker SPEAKER_08
transcript.pyannote[3353].start 22793.70096875
transcript.pyannote[3353].end 22798.96596875
transcript.pyannote[3354].speaker SPEAKER_03
transcript.pyannote[3354].start 22796.89034375
transcript.pyannote[3354].end 22797.10971875
transcript.pyannote[3355].speaker SPEAKER_03
transcript.pyannote[3355].start 22804.50096875
transcript.pyannote[3355].end 22804.75409375
transcript.pyannote[3356].speaker SPEAKER_03
transcript.pyannote[3356].start 22804.77096875
transcript.pyannote[3356].end 22804.78784375
transcript.pyannote[3357].speaker SPEAKER_03
transcript.pyannote[3357].start 22805.09159375
transcript.pyannote[3357].end 22805.10846875
transcript.pyannote[3358].speaker SPEAKER_05
transcript.pyannote[3358].start 22805.56409375
transcript.pyannote[3358].end 22805.90159375
transcript.pyannote[3359].speaker SPEAKER_05
transcript.pyannote[3359].start 22805.95221875
transcript.pyannote[3359].end 22806.03659375
transcript.pyannote[3360].speaker SPEAKER_05
transcript.pyannote[3360].start 22807.97721875
transcript.pyannote[3360].end 22808.02784375
transcript.pyannote[3361].speaker SPEAKER_05
transcript.pyannote[3361].start 22808.33159375
transcript.pyannote[3361].end 22809.41159375
transcript.pyannote[3362].speaker SPEAKER_14
transcript.pyannote[3362].start 22810.66034375
transcript.pyannote[3362].end 22811.21721875
transcript.pyannote[3363].speaker SPEAKER_14
transcript.pyannote[3363].start 22812.22971875
transcript.pyannote[3363].end 22822.23659375
transcript.pyannote[3364].speaker SPEAKER_14
transcript.pyannote[3364].start 22822.81034375
transcript.pyannote[3364].end 22824.71721875
transcript.pyannote[3365].speaker SPEAKER_14
transcript.pyannote[3365].start 22825.74659375
transcript.pyannote[3365].end 22828.91909375
transcript.pyannote[3366].speaker SPEAKER_14
transcript.pyannote[3366].start 22829.22284375
transcript.pyannote[3366].end 22846.19909375
transcript.pyannote[3367].speaker SPEAKER_14
transcript.pyannote[3367].start 22846.48596875
transcript.pyannote[3367].end 22854.60284375
transcript.pyannote[3368].speaker SPEAKER_14
transcript.pyannote[3368].start 22854.99096875
transcript.pyannote[3368].end 22869.62159375
transcript.pyannote[3369].speaker SPEAKER_14
transcript.pyannote[3369].start 22869.94221875
transcript.pyannote[3369].end 22871.49471875
transcript.pyannote[3370].speaker SPEAKER_14
transcript.pyannote[3370].start 22872.22034375
transcript.pyannote[3370].end 22874.17784375
transcript.pyannote[3371].speaker SPEAKER_14
transcript.pyannote[3371].start 22874.44784375
transcript.pyannote[3371].end 22877.36721875
transcript.pyannote[3372].speaker SPEAKER_14
transcript.pyannote[3372].start 22877.75534375
transcript.pyannote[3372].end 22878.46409375
transcript.pyannote[3373].speaker SPEAKER_14
transcript.pyannote[3373].start 22880.16846875
transcript.pyannote[3373].end 22881.82221875
transcript.pyannote[3374].speaker SPEAKER_14
transcript.pyannote[3374].start 22882.14284375
transcript.pyannote[3374].end 22885.31534375
transcript.pyannote[3375].speaker SPEAKER_14
transcript.pyannote[3375].start 22886.73284375
transcript.pyannote[3375].end 22887.55971875
transcript.pyannote[3376].speaker SPEAKER_18
transcript.pyannote[3376].start 22887.55971875
transcript.pyannote[3376].end 22887.57659375
transcript.pyannote[3377].speaker SPEAKER_18
transcript.pyannote[3377].start 22893.01034375
transcript.pyannote[3377].end 22893.33096875
transcript.pyannote[3378].speaker SPEAKER_18
transcript.pyannote[3378].start 22893.66846875
transcript.pyannote[3378].end 22896.55409375
transcript.pyannote[3379].speaker SPEAKER_18
transcript.pyannote[3379].start 22896.97596875
transcript.pyannote[3379].end 22903.82721875
transcript.pyannote[3380].speaker SPEAKER_18
transcript.pyannote[3380].start 22904.24909375
transcript.pyannote[3380].end 22906.71284375
transcript.pyannote[3381].speaker SPEAKER_18
transcript.pyannote[3381].start 22907.13471875
transcript.pyannote[3381].end 22910.79659375
transcript.pyannote[3382].speaker SPEAKER_18
transcript.pyannote[3382].start 22911.28596875
transcript.pyannote[3382].end 22912.95659375
transcript.pyannote[3383].speaker SPEAKER_18
transcript.pyannote[3383].start 22913.12534375
transcript.pyannote[3383].end 22914.98159375
transcript.pyannote[3384].speaker SPEAKER_18
transcript.pyannote[3384].start 22915.75784375
transcript.pyannote[3384].end 22917.07409375
transcript.pyannote[3385].speaker SPEAKER_18
transcript.pyannote[3385].start 22917.41159375
transcript.pyannote[3385].end 22918.91346875
transcript.pyannote[3386].speaker SPEAKER_18
transcript.pyannote[3386].start 22919.25096875
transcript.pyannote[3386].end 22921.30971875
transcript.pyannote[3387].speaker SPEAKER_18
transcript.pyannote[3387].start 22921.56284375
transcript.pyannote[3387].end 22927.60409375
transcript.pyannote[3388].speaker SPEAKER_18
transcript.pyannote[3388].start 22927.68846875
transcript.pyannote[3388].end 22930.55721875
transcript.pyannote[3389].speaker SPEAKER_38
transcript.pyannote[3389].start 22929.54471875
transcript.pyannote[3389].end 22929.57846875
transcript.pyannote[3390].speaker SPEAKER_38
transcript.pyannote[3390].start 22929.59534375
transcript.pyannote[3390].end 22929.61221875
transcript.pyannote[3391].speaker SPEAKER_18
transcript.pyannote[3391].start 22930.97909375
transcript.pyannote[3391].end 22931.89034375
transcript.pyannote[3392].speaker SPEAKER_18
transcript.pyannote[3392].start 22932.43034375
transcript.pyannote[3392].end 22944.07409375
transcript.pyannote[3393].speaker SPEAKER_18
transcript.pyannote[3393].start 22944.39471875
transcript.pyannote[3393].end 22946.01471875
transcript.pyannote[3394].speaker SPEAKER_18
transcript.pyannote[3394].start 22946.31846875
transcript.pyannote[3394].end 22950.52034375
transcript.pyannote[3395].speaker SPEAKER_18
transcript.pyannote[3395].start 22950.87471875
transcript.pyannote[3395].end 22955.11034375
transcript.pyannote[3396].speaker SPEAKER_18
transcript.pyannote[3396].start 22955.78534375
transcript.pyannote[3396].end 22956.64596875
transcript.pyannote[3397].speaker SPEAKER_18
transcript.pyannote[3397].start 22956.84846875
transcript.pyannote[3397].end 22957.62471875
transcript.pyannote[3398].speaker SPEAKER_18
transcript.pyannote[3398].start 22958.28284375
transcript.pyannote[3398].end 22963.10909375
transcript.pyannote[3399].speaker SPEAKER_18
transcript.pyannote[3399].start 22963.88534375
transcript.pyannote[3399].end 22977.53721875
transcript.pyannote[3400].speaker SPEAKER_18
transcript.pyannote[3400].start 22977.58784375
transcript.pyannote[3400].end 22994.78346875
transcript.pyannote[3401].speaker SPEAKER_18
transcript.pyannote[3401].start 22994.86784375
transcript.pyannote[3401].end 23009.11034375
transcript.pyannote[3402].speaker SPEAKER_18
transcript.pyannote[3402].start 23011.67534375
transcript.pyannote[3402].end 23011.69221875
transcript.pyannote[3403].speaker SPEAKER_16
transcript.pyannote[3403].start 23011.69221875
transcript.pyannote[3403].end 23020.99034375
transcript.pyannote[3404].speaker SPEAKER_16
transcript.pyannote[3404].start 23021.37846875
transcript.pyannote[3404].end 23030.84534375
transcript.pyannote[3405].speaker SPEAKER_16
transcript.pyannote[3405].start 23030.87909375
transcript.pyannote[3405].end 23033.89971875
transcript.pyannote[3406].speaker SPEAKER_16
transcript.pyannote[3406].start 23033.93346875
transcript.pyannote[3406].end 23062.03034375
transcript.pyannote[3407].speaker SPEAKER_16
transcript.pyannote[3407].start 23062.24971875
transcript.pyannote[3407].end 23108.03159375
transcript.pyannote[3408].speaker SPEAKER_13
transcript.pyannote[3408].start 23108.03159375
transcript.pyannote[3408].end 23108.14971875
transcript.pyannote[3409].speaker SPEAKER_16
transcript.pyannote[3409].start 23108.08221875
transcript.pyannote[3409].end 23108.11596875
transcript.pyannote[3410].speaker SPEAKER_16
transcript.pyannote[3410].start 23108.14971875
transcript.pyannote[3410].end 23109.53346875
transcript.pyannote[3411].speaker SPEAKER_13
transcript.pyannote[3411].start 23108.20034375
transcript.pyannote[3411].end 23118.51096875
transcript.pyannote[3412].speaker SPEAKER_13
transcript.pyannote[3412].start 23119.28721875
transcript.pyannote[3412].end 23148.10971875
transcript.pyannote[3413].speaker SPEAKER_13
transcript.pyannote[3413].start 23148.32909375
transcript.pyannote[3413].end 23163.90471875
transcript.pyannote[3414].speaker SPEAKER_13
transcript.pyannote[3414].start 23163.97221875
transcript.pyannote[3414].end 23164.02284375
transcript.pyannote[3415].speaker SPEAKER_13
transcript.pyannote[3415].start 23164.10721875
transcript.pyannote[3415].end 23168.05596875
transcript.pyannote[3416].speaker SPEAKER_18
transcript.pyannote[3416].start 23167.98846875
transcript.pyannote[3416].end 23169.06846875
transcript.pyannote[3417].speaker SPEAKER_18
transcript.pyannote[3417].start 23169.22034375
transcript.pyannote[3417].end 23171.92034375
transcript.pyannote[3418].speaker SPEAKER_18
transcript.pyannote[3418].start 23172.05534375
transcript.pyannote[3418].end 23172.59534375
transcript.pyannote[3419].speaker SPEAKER_18
transcript.pyannote[3419].start 23172.94971875
transcript.pyannote[3419].end 23176.34159375
transcript.pyannote[3420].speaker SPEAKER_18
transcript.pyannote[3420].start 23176.64534375
transcript.pyannote[3420].end 23187.64784375
transcript.pyannote[3421].speaker SPEAKER_18
transcript.pyannote[3421].start 23187.91784375
transcript.pyannote[3421].end 23188.37346875
transcript.pyannote[3422].speaker SPEAKER_18
transcript.pyannote[3422].start 23188.57596875
transcript.pyannote[3422].end 23190.53346875
transcript.pyannote[3423].speaker SPEAKER_18
transcript.pyannote[3423].start 23190.56721875
transcript.pyannote[3423].end 23192.28846875
transcript.pyannote[3424].speaker SPEAKER_18
transcript.pyannote[3424].start 23192.35596875
transcript.pyannote[3424].end 23192.91284375
transcript.pyannote[3425].speaker SPEAKER_18
transcript.pyannote[3425].start 23193.21659375
transcript.pyannote[3425].end 23193.90846875
transcript.pyannote[3426].speaker SPEAKER_18
transcript.pyannote[3426].start 23194.38096875
transcript.pyannote[3426].end 23198.24534375
transcript.pyannote[3427].speaker SPEAKER_18
transcript.pyannote[3427].start 23198.68409375
transcript.pyannote[3427].end 23204.43846875
transcript.pyannote[3428].speaker SPEAKER_18
transcript.pyannote[3428].start 23204.82659375
transcript.pyannote[3428].end 23224.99221875
transcript.pyannote[3429].speaker SPEAKER_18
transcript.pyannote[3429].start 23225.39721875
transcript.pyannote[3429].end 23227.05096875
transcript.pyannote[3430].speaker SPEAKER_18
transcript.pyannote[3430].start 23227.37159375
transcript.pyannote[3430].end 23253.39284375
transcript.pyannote[3431].speaker SPEAKER_18
transcript.pyannote[3431].start 23253.78096875
transcript.pyannote[3431].end 23271.56721875
transcript.pyannote[3432].speaker SPEAKER_18
transcript.pyannote[3432].start 23271.70221875
transcript.pyannote[3432].end 23273.42346875
transcript.pyannote[3433].speaker SPEAKER_18
transcript.pyannote[3433].start 23275.73534375
transcript.pyannote[3433].end 23291.53034375
transcript.pyannote[3434].speaker SPEAKER_18
transcript.pyannote[3434].start 23291.91846875
transcript.pyannote[3434].end 23299.90034375
transcript.pyannote[3435].speaker SPEAKER_18
transcript.pyannote[3435].start 23300.49096875
transcript.pyannote[3435].end 23306.38034375
transcript.pyannote[3436].speaker SPEAKER_18
transcript.pyannote[3436].start 23306.73471875
transcript.pyannote[3436].end 23308.05096875
transcript.pyannote[3437].speaker SPEAKER_18
transcript.pyannote[3437].start 23308.23659375
transcript.pyannote[3437].end 23313.13034375
transcript.pyannote[3438].speaker SPEAKER_18
transcript.pyannote[3438].start 23313.40034375
transcript.pyannote[3438].end 23315.34096875
transcript.pyannote[3439].speaker SPEAKER_18
transcript.pyannote[3439].start 23315.57721875
transcript.pyannote[3439].end 23318.02409375
transcript.pyannote[3440].speaker SPEAKER_18
transcript.pyannote[3440].start 23318.56409375
transcript.pyannote[3440].end 23318.61471875
transcript.pyannote[3441].speaker SPEAKER_37
transcript.pyannote[3441].start 23318.61471875
transcript.pyannote[3441].end 23318.71596875
transcript.pyannote[3442].speaker SPEAKER_18
transcript.pyannote[3442].start 23321.82096875
transcript.pyannote[3442].end 23321.85471875
transcript.pyannote[3443].speaker SPEAKER_24
transcript.pyannote[3443].start 23321.85471875
transcript.pyannote[3443].end 23322.10784375
transcript.pyannote[3444].speaker SPEAKER_24
transcript.pyannote[3444].start 23322.54659375
transcript.pyannote[3444].end 23324.28471875
transcript.pyannote[3445].speaker SPEAKER_24
transcript.pyannote[3445].start 23324.80784375
transcript.pyannote[3445].end 23328.97596875
transcript.pyannote[3446].speaker SPEAKER_14
transcript.pyannote[3446].start 23328.97596875
transcript.pyannote[3446].end 23331.64221875
transcript.pyannote[3447].speaker SPEAKER_14
transcript.pyannote[3447].start 23331.96284375
transcript.pyannote[3447].end 23335.60784375
transcript.pyannote[3448].speaker SPEAKER_14
transcript.pyannote[3448].start 23335.97909375
transcript.pyannote[3448].end 23343.21846875
transcript.pyannote[3449].speaker SPEAKER_14
transcript.pyannote[3449].start 23343.92721875
transcript.pyannote[3449].end 23346.28971875
transcript.pyannote[3450].speaker SPEAKER_14
transcript.pyannote[3450].start 23346.61034375
transcript.pyannote[3450].end 23355.52034375
transcript.pyannote[3451].speaker SPEAKER_14
transcript.pyannote[3451].start 23355.85784375
transcript.pyannote[3451].end 23357.93346875
transcript.pyannote[3452].speaker SPEAKER_14
transcript.pyannote[3452].start 23357.95034375
transcript.pyannote[3452].end 23365.34159375
transcript.pyannote[3453].speaker SPEAKER_14
transcript.pyannote[3453].start 23365.35846875
transcript.pyannote[3453].end 23365.40909375
transcript.pyannote[3454].speaker SPEAKER_14
transcript.pyannote[3454].start 23365.62846875
transcript.pyannote[3454].end 23367.07971875
transcript.pyannote[3455].speaker SPEAKER_14
transcript.pyannote[3455].start 23367.50159375
transcript.pyannote[3455].end 23370.13409375
transcript.pyannote[3456].speaker SPEAKER_14
transcript.pyannote[3456].start 23370.43784375
transcript.pyannote[3456].end 23372.32784375
transcript.pyannote[3457].speaker SPEAKER_14
transcript.pyannote[3457].start 23372.76659375
transcript.pyannote[3457].end 23377.18784375
transcript.pyannote[3458].speaker SPEAKER_14
transcript.pyannote[3458].start 23377.49159375
transcript.pyannote[3458].end 23387.41409375
transcript.pyannote[3459].speaker SPEAKER_14
transcript.pyannote[3459].start 23387.49846875
transcript.pyannote[3459].end 23399.51346875
transcript.pyannote[3460].speaker SPEAKER_14
transcript.pyannote[3460].start 23399.80034375
transcript.pyannote[3460].end 23402.44971875
transcript.pyannote[3461].speaker SPEAKER_14
transcript.pyannote[3461].start 23402.83784375
transcript.pyannote[3461].end 23409.95909375
transcript.pyannote[3462].speaker SPEAKER_14
transcript.pyannote[3462].start 23410.26284375
transcript.pyannote[3462].end 23421.83909375
transcript.pyannote[3463].speaker SPEAKER_14
transcript.pyannote[3463].start 23421.87284375
transcript.pyannote[3463].end 23430.41159375
transcript.pyannote[3464].speaker SPEAKER_14
transcript.pyannote[3464].start 23430.68159375
transcript.pyannote[3464].end 23441.27909375
transcript.pyannote[3465].speaker SPEAKER_14
transcript.pyannote[3465].start 23441.41409375
transcript.pyannote[3465].end 23442.30846875
transcript.pyannote[3466].speaker SPEAKER_14
transcript.pyannote[3466].start 23442.56159375
transcript.pyannote[3466].end 23459.80784375
transcript.pyannote[3467].speaker SPEAKER_14
transcript.pyannote[3467].start 23460.33096875
transcript.pyannote[3467].end 23461.44471875
transcript.pyannote[3468].speaker SPEAKER_30
transcript.pyannote[3468].start 23461.64721875
transcript.pyannote[3468].end 23461.74846875
transcript.pyannote[3469].speaker SPEAKER_14
transcript.pyannote[3469].start 23462.11971875
transcript.pyannote[3469].end 23464.22909375
transcript.pyannote[3470].speaker SPEAKER_14
transcript.pyannote[3470].start 23465.00534375
transcript.pyannote[3470].end 23478.72471875
transcript.pyannote[3471].speaker SPEAKER_14
transcript.pyannote[3471].start 23479.11284375
transcript.pyannote[3471].end 23492.35971875
transcript.pyannote[3472].speaker SPEAKER_14
transcript.pyannote[3472].start 23492.47784375
transcript.pyannote[3472].end 23495.16096875
transcript.pyannote[3473].speaker SPEAKER_14
transcript.pyannote[3473].start 23496.61221875
transcript.pyannote[3473].end 23497.89471875
transcript.pyannote[3474].speaker SPEAKER_14
transcript.pyannote[3474].start 23497.94534375
transcript.pyannote[3474].end 23510.29784375
transcript.pyannote[3475].speaker SPEAKER_14
transcript.pyannote[3475].start 23510.71971875
transcript.pyannote[3475].end 23515.61346875
transcript.pyannote[3476].speaker SPEAKER_14
transcript.pyannote[3476].start 23516.22096875
transcript.pyannote[3476].end 23517.75659375
transcript.pyannote[3477].speaker SPEAKER_14
transcript.pyannote[3477].start 23518.76909375
transcript.pyannote[3477].end 23523.03846875
transcript.pyannote[3478].speaker SPEAKER_14
transcript.pyannote[3478].start 23527.54409375
transcript.pyannote[3478].end 23528.80971875
transcript.pyannote[3479].speaker SPEAKER_14
transcript.pyannote[3479].start 23529.28221875
transcript.pyannote[3479].end 23532.20159375
transcript.pyannote[3480].speaker SPEAKER_14
transcript.pyannote[3480].start 23532.75846875
transcript.pyannote[3480].end 23533.24784375
transcript.pyannote[3481].speaker SPEAKER_14
transcript.pyannote[3481].start 23533.38284375
transcript.pyannote[3481].end 23536.23471875
transcript.pyannote[3482].speaker SPEAKER_18
transcript.pyannote[3482].start 23538.14159375
transcript.pyannote[3482].end 23540.84159375
transcript.pyannote[3483].speaker SPEAKER_14
transcript.pyannote[3483].start 23538.56346875
transcript.pyannote[3483].end 23539.03596875
transcript.pyannote[3484].speaker SPEAKER_18
transcript.pyannote[3484].start 23541.26346875
transcript.pyannote[3484].end 23545.31346875
transcript.pyannote[3485].speaker SPEAKER_14
transcript.pyannote[3485].start 23544.25034375
transcript.pyannote[3485].end 23557.34534375
transcript.pyannote[3486].speaker SPEAKER_18
transcript.pyannote[3486].start 23546.46096875
transcript.pyannote[3486].end 23547.20346875
transcript.pyannote[3487].speaker SPEAKER_28
transcript.pyannote[3487].start 23557.34534375
transcript.pyannote[3487].end 23557.37909375
transcript.pyannote[3488].speaker SPEAKER_28
transcript.pyannote[3488].start 23560.04534375
transcript.pyannote[3488].end 23562.88034375
transcript.pyannote[3489].speaker SPEAKER_38
transcript.pyannote[3489].start 23602.13159375
transcript.pyannote[3489].end 23608.93221875
transcript.pyannote[3490].speaker SPEAKER_00
transcript.pyannote[3490].start 23603.34659375
transcript.pyannote[3490].end 23603.38034375
transcript.pyannote[3491].speaker SPEAKER_30
transcript.pyannote[3491].start 23603.38034375
transcript.pyannote[3491].end 23603.97096875
transcript.pyannote[3492].speaker SPEAKER_00
transcript.pyannote[3492].start 23603.97096875
transcript.pyannote[3492].end 23604.73034375
transcript.pyannote[3493].speaker SPEAKER_16
transcript.pyannote[3493].start 23604.73034375
transcript.pyannote[3493].end 23604.86534375
transcript.pyannote[3494].speaker SPEAKER_38
transcript.pyannote[3494].start 23615.96909375
transcript.pyannote[3494].end 23616.32346875
transcript.pyannote[3495].speaker SPEAKER_38
transcript.pyannote[3495].start 23616.96471875
transcript.pyannote[3495].end 23618.77034375
transcript.pyannote[3496].speaker SPEAKER_38
transcript.pyannote[3496].start 23618.97284375
transcript.pyannote[3496].end 23619.09096875
transcript.pyannote[3497].speaker SPEAKER_38
transcript.pyannote[3497].start 23619.19221875
transcript.pyannote[3497].end 23624.72721875
transcript.pyannote[3498].speaker SPEAKER_38
transcript.pyannote[3498].start 23635.37534375
transcript.pyannote[3498].end 23635.81409375
transcript.pyannote[3499].speaker SPEAKER_38
transcript.pyannote[3499].start 23635.96596875
transcript.pyannote[3499].end 23638.90221875
transcript.pyannote[3500].speaker SPEAKER_38
transcript.pyannote[3500].start 23641.01159375
transcript.pyannote[3500].end 23641.58534375
transcript.pyannote[3501].speaker SPEAKER_38
transcript.pyannote[3501].start 23641.95659375
transcript.pyannote[3501].end 23642.09159375
transcript.pyannote[3502].speaker SPEAKER_22
transcript.pyannote[3502].start 23645.02784375
transcript.pyannote[3502].end 23648.72346875
transcript.pyannote[3503].speaker SPEAKER_22
transcript.pyannote[3503].start 23651.62596875
transcript.pyannote[3503].end 23651.74409375
transcript.pyannote[3504].speaker SPEAKER_37
transcript.pyannote[3504].start 23665.86846875
transcript.pyannote[3504].end 23665.98659375
transcript.pyannote[3505].speaker SPEAKER_33
transcript.pyannote[3505].start 23665.98659375
transcript.pyannote[3505].end 23666.03721875
transcript.pyannote[3506].speaker SPEAKER_37
transcript.pyannote[3506].start 23666.03721875
transcript.pyannote[3506].end 23690.97846875
transcript.pyannote[3507].speaker SPEAKER_33
transcript.pyannote[3507].start 23690.97846875
transcript.pyannote[3507].end 23691.43409375
transcript.pyannote[3508].speaker SPEAKER_37
transcript.pyannote[3508].start 23691.43409375
transcript.pyannote[3508].end 23691.61971875
transcript.pyannote[3509].speaker SPEAKER_37
transcript.pyannote[3509].start 23691.90659375
transcript.pyannote[3509].end 23691.97409375
transcript.pyannote[3510].speaker SPEAKER_33
transcript.pyannote[3510].start 23691.97409375
transcript.pyannote[3510].end 23694.57284375
transcript.pyannote[3511].speaker SPEAKER_37
transcript.pyannote[3511].start 23692.26096875
transcript.pyannote[3511].end 23692.96971875
transcript.pyannote[3512].speaker SPEAKER_33
transcript.pyannote[3512].start 23695.26471875
transcript.pyannote[3512].end 23701.37346875
transcript.pyannote[3513].speaker SPEAKER_34
transcript.pyannote[3513].start 23699.50034375
transcript.pyannote[3513].end 23699.51721875
transcript.pyannote[3514].speaker SPEAKER_34
transcript.pyannote[3514].start 23699.93909375
transcript.pyannote[3514].end 23700.95159375
transcript.pyannote[3515].speaker SPEAKER_34
transcript.pyannote[3515].start 23701.37346875
transcript.pyannote[3515].end 23702.06534375
transcript.pyannote[3516].speaker SPEAKER_33
transcript.pyannote[3516].start 23701.91346875
transcript.pyannote[3516].end 23704.25909375
transcript.pyannote[3517].speaker SPEAKER_33
transcript.pyannote[3517].start 23706.94221875
transcript.pyannote[3517].end 23708.15721875
transcript.pyannote[3518].speaker SPEAKER_38
transcript.pyannote[3518].start 23708.47784375
transcript.pyannote[3518].end 23709.15284375
transcript.pyannote[3519].speaker SPEAKER_38
transcript.pyannote[3519].start 23710.90784375
transcript.pyannote[3519].end 23711.92034375
transcript.pyannote[3520].speaker SPEAKER_38
transcript.pyannote[3520].start 23711.97096875
transcript.pyannote[3520].end 23712.00471875
transcript.pyannote[3521].speaker SPEAKER_38
transcript.pyannote[3521].start 23712.46034375
transcript.pyannote[3521].end 23716.78034375
transcript.pyannote[3522].speaker SPEAKER_38
transcript.pyannote[3522].start 23716.79721875
transcript.pyannote[3522].end 23718.41721875
transcript.pyannote[3523].speaker SPEAKER_29
transcript.pyannote[3523].start 23718.41721875
transcript.pyannote[3523].end 23718.43409375
transcript.pyannote[3524].speaker SPEAKER_38
transcript.pyannote[3524].start 23718.43409375
transcript.pyannote[3524].end 23719.34534375
transcript.pyannote[3525].speaker SPEAKER_29
transcript.pyannote[3525].start 23719.34534375
transcript.pyannote[3525].end 23720.27346875
transcript.pyannote[3526].speaker SPEAKER_38
transcript.pyannote[3526].start 23719.39596875
transcript.pyannote[3526].end 23720.02034375
transcript.pyannote[3527].speaker SPEAKER_38
transcript.pyannote[3527].start 23720.27346875
transcript.pyannote[3527].end 23722.02846875
transcript.pyannote[3528].speaker SPEAKER_38
transcript.pyannote[3528].start 23722.39971875
transcript.pyannote[3528].end 23722.48409375
transcript.pyannote[3529].speaker SPEAKER_29
transcript.pyannote[3529].start 23722.48409375
transcript.pyannote[3529].end 23722.83846875
transcript.pyannote[3530].speaker SPEAKER_38
transcript.pyannote[3530].start 23722.83846875
transcript.pyannote[3530].end 23722.97346875
transcript.pyannote[3531].speaker SPEAKER_19
transcript.pyannote[3531].start 23723.95221875
transcript.pyannote[3531].end 23724.03659375
transcript.pyannote[3532].speaker SPEAKER_37
transcript.pyannote[3532].start 23733.19971875
transcript.pyannote[3532].end 23735.51159375
transcript.pyannote[3533].speaker SPEAKER_37
transcript.pyannote[3533].start 23736.96284375
transcript.pyannote[3533].end 23737.80659375
transcript.pyannote[3534].speaker SPEAKER_29
transcript.pyannote[3534].start 23739.59534375
transcript.pyannote[3534].end 23739.61221875
transcript.pyannote[3535].speaker SPEAKER_29
transcript.pyannote[3535].start 23739.76409375
transcript.pyannote[3535].end 23739.91596875
transcript.pyannote[3536].speaker SPEAKER_22
transcript.pyannote[3536].start 23747.32409375
transcript.pyannote[3536].end 23747.39159375
transcript.pyannote[3537].speaker SPEAKER_28
transcript.pyannote[3537].start 23749.04534375
transcript.pyannote[3537].end 23750.05784375
transcript.pyannote[3538].speaker SPEAKER_22
transcript.pyannote[3538].start 23751.30659375
transcript.pyannote[3538].end 23751.32346875
transcript.pyannote[3539].speaker SPEAKER_29
transcript.pyannote[3539].start 23751.32346875
transcript.pyannote[3539].end 23751.54284375
transcript.pyannote[3540].speaker SPEAKER_22
transcript.pyannote[3540].start 23751.54284375
transcript.pyannote[3540].end 23751.74534375
transcript.pyannote[3541].speaker SPEAKER_29
transcript.pyannote[3541].start 23751.74534375
transcript.pyannote[3541].end 23752.70721875
transcript.pyannote[3542].speaker SPEAKER_29
transcript.pyannote[3542].start 23752.74096875
transcript.pyannote[3542].end 23752.77471875
transcript.pyannote[3543].speaker SPEAKER_29
transcript.pyannote[3543].start 23752.85909375
transcript.pyannote[3543].end 23752.89284375
transcript.pyannote[3544].speaker SPEAKER_29
transcript.pyannote[3544].start 23752.97721875
transcript.pyannote[3544].end 23753.41596875
transcript.pyannote[3545].speaker SPEAKER_29
transcript.pyannote[3545].start 23753.92221875
transcript.pyannote[3545].end 23753.93909375
transcript.pyannote[3546].speaker SPEAKER_29
transcript.pyannote[3546].start 23753.97284375
transcript.pyannote[3546].end 23754.02346875
transcript.pyannote[3547].speaker SPEAKER_29
transcript.pyannote[3547].start 23754.05721875
transcript.pyannote[3547].end 23754.19221875
transcript.pyannote[3548].speaker SPEAKER_29
transcript.pyannote[3548].start 23754.96846875
transcript.pyannote[3548].end 23756.03159375
transcript.pyannote[3549].speaker SPEAKER_33
transcript.pyannote[3549].start 23756.99346875
transcript.pyannote[3549].end 23759.35596875
transcript.pyannote[3550].speaker SPEAKER_33
transcript.pyannote[3550].start 23759.77784375
transcript.pyannote[3550].end 23759.89596875
transcript.pyannote[3551].speaker SPEAKER_33
transcript.pyannote[3551].start 23759.96346875
transcript.pyannote[3551].end 23760.03096875
transcript.pyannote[3552].speaker SPEAKER_33
transcript.pyannote[3552].start 23761.33034375
transcript.pyannote[3552].end 23763.65909375
transcript.pyannote[3553].speaker SPEAKER_33
transcript.pyannote[3553].start 23764.97534375
transcript.pyannote[3553].end 23765.02596875
transcript.pyannote[3554].speaker SPEAKER_33
transcript.pyannote[3554].start 23765.17784375
transcript.pyannote[3554].end 23766.81471875
transcript.pyannote[3555].speaker SPEAKER_30
transcript.pyannote[3555].start 23765.97096875
transcript.pyannote[3555].end 23766.05534375
transcript.pyannote[3556].speaker SPEAKER_29
transcript.pyannote[3556].start 23766.05534375
transcript.pyannote[3556].end 23766.20721875
transcript.pyannote[3557].speaker SPEAKER_33
transcript.pyannote[3557].start 23766.88221875
transcript.pyannote[3557].end 23767.03409375
transcript.pyannote[3558].speaker SPEAKER_38
transcript.pyannote[3558].start 23767.03409375
transcript.pyannote[3558].end 23768.02971875
transcript.pyannote[3559].speaker SPEAKER_34
transcript.pyannote[3559].start 23768.02971875
transcript.pyannote[3559].end 23768.65409375
transcript.pyannote[3560].speaker SPEAKER_38
transcript.pyannote[3560].start 23768.65409375
transcript.pyannote[3560].end 23768.90721875
transcript.pyannote[3561].speaker SPEAKER_34
transcript.pyannote[3561].start 23768.90721875
transcript.pyannote[3561].end 23769.54846875
transcript.pyannote[3562].speaker SPEAKER_38
transcript.pyannote[3562].start 23769.54846875
transcript.pyannote[3562].end 23769.61596875
transcript.pyannote[3563].speaker SPEAKER_34
transcript.pyannote[3563].start 23769.61596875
transcript.pyannote[3563].end 23771.94471875
transcript.pyannote[3564].speaker SPEAKER_38
transcript.pyannote[3564].start 23770.37534375
transcript.pyannote[3564].end 23770.44284375
transcript.pyannote[3565].speaker SPEAKER_22
transcript.pyannote[3565].start 23770.51034375
transcript.pyannote[3565].end 23771.38784375
transcript.pyannote[3566].speaker SPEAKER_34
transcript.pyannote[3566].start 23772.97409375
transcript.pyannote[3566].end 23773.02471875
transcript.pyannote[3567].speaker SPEAKER_34
transcript.pyannote[3567].start 23773.17659375
transcript.pyannote[3567].end 23773.44659375
transcript.pyannote[3568].speaker SPEAKER_34
transcript.pyannote[3568].start 23773.54784375
transcript.pyannote[3568].end 23773.61534375
transcript.pyannote[3569].speaker SPEAKER_34
transcript.pyannote[3569].start 23773.71659375
transcript.pyannote[3569].end 23773.75034375
transcript.pyannote[3570].speaker SPEAKER_34
transcript.pyannote[3570].start 23773.83471875
transcript.pyannote[3570].end 23773.86846875
transcript.pyannote[3571].speaker SPEAKER_34
transcript.pyannote[3571].start 23773.96971875
transcript.pyannote[3571].end 23774.03721875
transcript.pyannote[3572].speaker SPEAKER_34
transcript.pyannote[3572].start 23774.96534375
transcript.pyannote[3572].end 23775.03284375
transcript.pyannote[3573].speaker SPEAKER_34
transcript.pyannote[3573].start 23775.28596875
transcript.pyannote[3573].end 23775.40409375
transcript.pyannote[3574].speaker SPEAKER_30
transcript.pyannote[3574].start 23780.97284375
transcript.pyannote[3574].end 23781.05721875
transcript.pyannote[3575].speaker SPEAKER_30
transcript.pyannote[3575].start 23781.07409375
transcript.pyannote[3575].end 23781.14159375
transcript.pyannote[3576].speaker SPEAKER_34
transcript.pyannote[3576].start 23793.52784375
transcript.pyannote[3576].end 23795.08034375
transcript.pyannote[3577].speaker SPEAKER_38
transcript.pyannote[3577].start 23795.50221875
transcript.pyannote[3577].end 23795.85659375
transcript.pyannote[3578].speaker SPEAKER_34
transcript.pyannote[3578].start 23806.84221875
transcript.pyannote[3578].end 23807.88846875
transcript.pyannote[3579].speaker SPEAKER_38
transcript.pyannote[3579].start 23807.24721875
transcript.pyannote[3579].end 23807.41596875
transcript.pyannote[3580].speaker SPEAKER_34
transcript.pyannote[3580].start 23809.06971875
transcript.pyannote[3580].end 23809.89659375
transcript.pyannote[3581].speaker SPEAKER_38
transcript.pyannote[3581].start 23809.89659375
transcript.pyannote[3581].end 23810.03159375
transcript.pyannote[3582].speaker SPEAKER_38
transcript.pyannote[3582].start 23810.97659375
transcript.pyannote[3582].end 23812.98471875
transcript.pyannote[3583].speaker SPEAKER_38
transcript.pyannote[3583].start 23813.59221875
transcript.pyannote[3583].end 23814.26721875
transcript.pyannote[3584].speaker SPEAKER_38
transcript.pyannote[3584].start 23814.97596875
transcript.pyannote[3584].end 23815.51596875
transcript.pyannote[3585].speaker SPEAKER_38
transcript.pyannote[3585].start 23824.07159375
transcript.pyannote[3585].end 23824.10534375
transcript.pyannote[3586].speaker SPEAKER_14
transcript.pyannote[3586].start 23824.10534375
transcript.pyannote[3586].end 23826.41721875
transcript.pyannote[3587].speaker SPEAKER_33
transcript.pyannote[3587].start 23826.41721875
transcript.pyannote[3587].end 23827.83471875
transcript.pyannote[3588].speaker SPEAKER_33
transcript.pyannote[3588].start 23828.50971875
transcript.pyannote[3588].end 23831.15909375
transcript.pyannote[3589].speaker SPEAKER_33
transcript.pyannote[3589].start 23832.12096875
transcript.pyannote[3589].end 23836.03596875
transcript.pyannote[3590].speaker SPEAKER_33
transcript.pyannote[3590].start 23836.40721875
transcript.pyannote[3590].end 23838.02721875
transcript.pyannote[3591].speaker SPEAKER_38
transcript.pyannote[3591].start 23838.02721875
transcript.pyannote[3591].end 23840.25471875
transcript.pyannote[3592].speaker SPEAKER_29
transcript.pyannote[3592].start 23840.25471875
transcript.pyannote[3592].end 23841.03096875
transcript.pyannote[3593].speaker SPEAKER_38
transcript.pyannote[3593].start 23840.37284375
transcript.pyannote[3593].end 23840.76096875
transcript.pyannote[3594].speaker SPEAKER_38
transcript.pyannote[3594].start 23840.94659375
transcript.pyannote[3594].end 23840.96346875
transcript.pyannote[3595].speaker SPEAKER_38
transcript.pyannote[3595].start 23840.98034375
transcript.pyannote[3595].end 23841.04784375
transcript.pyannote[3596].speaker SPEAKER_29
transcript.pyannote[3596].start 23841.04784375
transcript.pyannote[3596].end 23841.08159375
transcript.pyannote[3597].speaker SPEAKER_38
transcript.pyannote[3597].start 23841.08159375
transcript.pyannote[3597].end 23841.53721875
transcript.pyannote[3598].speaker SPEAKER_38
transcript.pyannote[3598].start 23842.39784375
transcript.pyannote[3598].end 23842.54971875
transcript.pyannote[3599].speaker SPEAKER_38
transcript.pyannote[3599].start 23842.56659375
transcript.pyannote[3599].end 23842.70159375
transcript.pyannote[3600].speaker SPEAKER_38
transcript.pyannote[3600].start 23858.42909375
transcript.pyannote[3600].end 23859.72846875
transcript.pyannote[3601].speaker SPEAKER_30
transcript.pyannote[3601].start 23863.99784375
transcript.pyannote[3601].end 23864.03159375
transcript.pyannote[3602].speaker SPEAKER_38
transcript.pyannote[3602].start 23864.03159375
transcript.pyannote[3602].end 23864.06534375
transcript.pyannote[3603].speaker SPEAKER_38
transcript.pyannote[3603].start 23866.29284375
transcript.pyannote[3603].end 23869.97159375
transcript.pyannote[3604].speaker SPEAKER_33
transcript.pyannote[3604].start 23867.87909375
transcript.pyannote[3604].end 23868.23346875
transcript.pyannote[3605].speaker SPEAKER_33
transcript.pyannote[3605].start 23869.97159375
transcript.pyannote[3605].end 23871.37221875
transcript.pyannote[3606].speaker SPEAKER_33
transcript.pyannote[3606].start 23871.99659375
transcript.pyannote[3606].end 23886.03659375
transcript.pyannote[3607].speaker SPEAKER_38
transcript.pyannote[3607].start 23886.03659375
transcript.pyannote[3607].end 23894.84534375
transcript.pyannote[3608].speaker SPEAKER_37
transcript.pyannote[3608].start 23890.55909375
transcript.pyannote[3608].end 23891.11596875
transcript.pyannote[3609].speaker SPEAKER_00
transcript.pyannote[3609].start 23891.72346875
transcript.pyannote[3609].end 23891.79096875
transcript.pyannote[3610].speaker SPEAKER_00
transcript.pyannote[3610].start 23891.97659375
transcript.pyannote[3610].end 23892.36471875
transcript.pyannote[3611].speaker SPEAKER_29
transcript.pyannote[3611].start 23892.36471875
transcript.pyannote[3611].end 23892.44909375
transcript.pyannote[3612].speaker SPEAKER_00
transcript.pyannote[3612].start 23892.44909375
transcript.pyannote[3612].end 23892.87096875
transcript.pyannote[3613].speaker SPEAKER_35
transcript.pyannote[3613].start 23892.87096875
transcript.pyannote[3613].end 23892.98909375
transcript.pyannote[3614].speaker SPEAKER_00
transcript.pyannote[3614].start 23894.96346875
transcript.pyannote[3614].end 23897.46096875
transcript.pyannote[3615].speaker SPEAKER_38
transcript.pyannote[3615].start 23897.46096875
transcript.pyannote[3615].end 23898.49034375
transcript.pyannote[3616].speaker SPEAKER_38
transcript.pyannote[3616].start 23898.96284375
transcript.pyannote[3616].end 23902.18596875
transcript.pyannote[3617].speaker SPEAKER_38
transcript.pyannote[3617].start 23905.72971875
transcript.pyannote[3617].end 23905.91534375
transcript.pyannote[3618].speaker SPEAKER_38
transcript.pyannote[3618].start 23905.94909375
transcript.pyannote[3618].end 23905.96596875
transcript.pyannote[3619].speaker SPEAKER_29
transcript.pyannote[3619].start 23905.96596875
transcript.pyannote[3619].end 23906.16846875
transcript.pyannote[3620].speaker SPEAKER_29
transcript.pyannote[3620].start 23906.92784375
transcript.pyannote[3620].end 23907.11346875
transcript.pyannote[3621].speaker SPEAKER_28
transcript.pyannote[3621].start 23907.11346875
transcript.pyannote[3621].end 23917.33971875
transcript.pyannote[3622].speaker SPEAKER_29
transcript.pyannote[3622].start 23907.19784375
transcript.pyannote[3622].end 23907.50159375
transcript.pyannote[3623].speaker SPEAKER_29
transcript.pyannote[3623].start 23908.05846875
transcript.pyannote[3623].end 23909.35784375
transcript.pyannote[3624].speaker SPEAKER_29
transcript.pyannote[3624].start 23913.17159375
transcript.pyannote[3624].end 23913.96471875
transcript.pyannote[3625].speaker SPEAKER_38
transcript.pyannote[3625].start 23913.96471875
transcript.pyannote[3625].end 23914.03221875
transcript.pyannote[3626].speaker SPEAKER_29
transcript.pyannote[3626].start 23914.03221875
transcript.pyannote[3626].end 23915.44971875
transcript.pyannote[3627].speaker SPEAKER_38
transcript.pyannote[3627].start 23915.44971875
transcript.pyannote[3627].end 23916.02346875
transcript.pyannote[3628].speaker SPEAKER_38
transcript.pyannote[3628].start 23917.33971875
transcript.pyannote[3628].end 23917.40721875
transcript.pyannote[3629].speaker SPEAKER_38
transcript.pyannote[3629].start 23917.62659375
transcript.pyannote[3629].end 23917.96409375
transcript.pyannote[3630].speaker SPEAKER_35
transcript.pyannote[3630].start 23927.63346875
transcript.pyannote[3630].end 23929.99596875
transcript.pyannote[3631].speaker SPEAKER_30
transcript.pyannote[3631].start 23927.92034375
transcript.pyannote[3631].end 23928.03846875
transcript.pyannote[3632].speaker SPEAKER_29
transcript.pyannote[3632].start 23928.03846875
transcript.pyannote[3632].end 23929.03409375
transcript.pyannote[3633].speaker SPEAKER_38
transcript.pyannote[3633].start 23948.71034375
transcript.pyannote[3633].end 23952.38909375
transcript.pyannote[3634].speaker SPEAKER_39
transcript.pyannote[3634].start 23952.38909375
transcript.pyannote[3634].end 23955.15659375
transcript.pyannote[3635].speaker SPEAKER_39
transcript.pyannote[3635].start 23969.78721875
transcript.pyannote[3635].end 23969.80409375
transcript.pyannote[3636].speaker SPEAKER_39
transcript.pyannote[3636].start 23969.83784375
transcript.pyannote[3636].end 23969.88846875
transcript.pyannote[3637].speaker SPEAKER_39
transcript.pyannote[3637].start 23969.90534375
transcript.pyannote[3637].end 23969.95596875
transcript.pyannote[3638].speaker SPEAKER_39
transcript.pyannote[3638].start 23969.97284375
transcript.pyannote[3638].end 23970.27659375
transcript.pyannote[3639].speaker SPEAKER_39
transcript.pyannote[3639].start 23971.42409375
transcript.pyannote[3639].end 23973.97221875
transcript.pyannote[3640].speaker SPEAKER_22
transcript.pyannote[3640].start 23973.97221875
transcript.pyannote[3640].end 23984.97471875
transcript.pyannote[3641].speaker SPEAKER_39
transcript.pyannote[3641].start 23975.03534375
transcript.pyannote[3641].end 23975.05221875
transcript.pyannote[3642].speaker SPEAKER_00
transcript.pyannote[3642].start 23975.05221875
transcript.pyannote[3642].end 23975.44034375
transcript.pyannote[3643].speaker SPEAKER_39
transcript.pyannote[3643].start 23975.44034375
transcript.pyannote[3643].end 23975.62596875
transcript.pyannote[3644].speaker SPEAKER_25
transcript.pyannote[3644].start 23976.50346875
transcript.pyannote[3644].end 23976.55409375
transcript.pyannote[3645].speaker SPEAKER_00
transcript.pyannote[3645].start 23976.55409375
transcript.pyannote[3645].end 23976.97596875
transcript.pyannote[3646].speaker SPEAKER_25
transcript.pyannote[3646].start 23976.97596875
transcript.pyannote[3646].end 23979.28784375
transcript.pyannote[3647].speaker SPEAKER_25
transcript.pyannote[3647].start 23980.04721875
transcript.pyannote[3647].end 23980.57034375
transcript.pyannote[3648].speaker SPEAKER_25
transcript.pyannote[3648].start 23981.81909375
transcript.pyannote[3648].end 23983.96221875
transcript.pyannote[3649].speaker SPEAKER_28
transcript.pyannote[3649].start 23983.96221875
transcript.pyannote[3649].end 23986.40909375
transcript.pyannote[3650].speaker SPEAKER_38
transcript.pyannote[3650].start 23984.97471875
transcript.pyannote[3650].end 23986.03784375
transcript.pyannote[3651].speaker SPEAKER_38
transcript.pyannote[3651].start 23986.40909375
transcript.pyannote[3651].end 23988.02909375
transcript.pyannote[3652].speaker SPEAKER_29
transcript.pyannote[3652].start 23995.84221875
transcript.pyannote[3652].end 24000.16221875
transcript.pyannote[3653].speaker SPEAKER_28
transcript.pyannote[3653].start 23996.11221875
transcript.pyannote[3653].end 23997.12471875
transcript.pyannote[3654].speaker SPEAKER_38
transcript.pyannote[3654].start 23998.45784375
transcript.pyannote[3654].end 23998.47471875
transcript.pyannote[3655].speaker SPEAKER_28
transcript.pyannote[3655].start 23998.47471875
transcript.pyannote[3655].end 23998.86284375
transcript.pyannote[3656].speaker SPEAKER_28
transcript.pyannote[3656].start 23998.96409375
transcript.pyannote[3656].end 24001.00596875
transcript.pyannote[3657].speaker SPEAKER_29
transcript.pyannote[3657].start 24000.21284375
transcript.pyannote[3657].end 24000.29721875
transcript.pyannote[3658].speaker SPEAKER_29
transcript.pyannote[3658].start 24001.00596875
transcript.pyannote[3658].end 24001.22534375
transcript.pyannote[3659].speaker SPEAKER_29
transcript.pyannote[3659].start 24004.58346875
transcript.pyannote[3659].end 24006.03471875
transcript.pyannote[3660].speaker SPEAKER_28
transcript.pyannote[3660].start 24006.42284375
transcript.pyannote[3660].end 24007.84034375
transcript.pyannote[3661].speaker SPEAKER_28
transcript.pyannote[3661].start 24016.04159375
transcript.pyannote[3661].end 24017.02034375
transcript.pyannote[3662].speaker SPEAKER_39
transcript.pyannote[3662].start 24025.96409375
transcript.pyannote[3662].end 24026.26784375
transcript.pyannote[3663].speaker SPEAKER_39
transcript.pyannote[3663].start 24026.57159375
transcript.pyannote[3663].end 24029.35596875
transcript.pyannote[3664].speaker SPEAKER_34
transcript.pyannote[3664].start 24029.60909375
transcript.pyannote[3664].end 24030.21659375
transcript.pyannote[3665].speaker SPEAKER_28
transcript.pyannote[3665].start 24036.47721875
transcript.pyannote[3665].end 24037.25346875
transcript.pyannote[3666].speaker SPEAKER_28
transcript.pyannote[3666].start 24044.79659375
transcript.pyannote[3666].end 24045.50534375
transcript.pyannote[3667].speaker SPEAKER_30
transcript.pyannote[3667].start 24045.50534375
transcript.pyannote[3667].end 24046.18034375
transcript.pyannote[3668].speaker SPEAKER_35
transcript.pyannote[3668].start 24056.28846875
transcript.pyannote[3668].end 24059.12346875
transcript.pyannote[3669].speaker SPEAKER_22
transcript.pyannote[3669].start 24059.12346875
transcript.pyannote[3669].end 24059.30909375
transcript.pyannote[3670].speaker SPEAKER_22
transcript.pyannote[3670].start 24059.69721875
transcript.pyannote[3670].end 24059.76471875
transcript.pyannote[3671].speaker SPEAKER_22
transcript.pyannote[3671].start 24059.79846875
transcript.pyannote[3671].end 24059.81534375
transcript.pyannote[3672].speaker SPEAKER_28
transcript.pyannote[3672].start 24060.47346875
transcript.pyannote[3672].end 24062.49846875
transcript.pyannote[3673].speaker SPEAKER_39
transcript.pyannote[3673].start 24062.65034375
transcript.pyannote[3673].end 24070.42971875
transcript.pyannote[3674].speaker SPEAKER_00
transcript.pyannote[3674].start 24070.81784375
transcript.pyannote[3674].end 24076.57221875
transcript.pyannote[3675].speaker SPEAKER_29
transcript.pyannote[3675].start 24076.04909375
transcript.pyannote[3675].end 24076.18409375
transcript.pyannote[3676].speaker SPEAKER_28
transcript.pyannote[3676].start 24076.18409375
transcript.pyannote[3676].end 24076.48784375
transcript.pyannote[3677].speaker SPEAKER_29
transcript.pyannote[3677].start 24078.02346875
transcript.pyannote[3677].end 24078.04034375
transcript.pyannote[3678].speaker SPEAKER_00
transcript.pyannote[3678].start 24078.04034375
transcript.pyannote[3678].end 24080.40284375
transcript.pyannote[3679].speaker SPEAKER_28
transcript.pyannote[3679].start 24078.05721875
transcript.pyannote[3679].end 24078.81659375
transcript.pyannote[3680].speaker SPEAKER_38
transcript.pyannote[3680].start 24078.81659375
transcript.pyannote[3680].end 24078.86721875
transcript.pyannote[3681].speaker SPEAKER_28
transcript.pyannote[3681].start 24078.86721875
transcript.pyannote[3681].end 24078.88409375
transcript.pyannote[3682].speaker SPEAKER_38
transcript.pyannote[3682].start 24078.88409375
transcript.pyannote[3682].end 24078.91784375
transcript.pyannote[3683].speaker SPEAKER_28
transcript.pyannote[3683].start 24078.91784375
transcript.pyannote[3683].end 24080.52096875
transcript.pyannote[3684].speaker SPEAKER_38
transcript.pyannote[3684].start 24080.40284375
transcript.pyannote[3684].end 24085.88721875
transcript.pyannote[3685].speaker SPEAKER_28
transcript.pyannote[3685].start 24085.88721875
transcript.pyannote[3685].end 24088.33409375
transcript.pyannote[3686].speaker SPEAKER_38
transcript.pyannote[3686].start 24085.90409375
transcript.pyannote[3686].end 24085.93784375
transcript.pyannote[3687].speaker SPEAKER_38
transcript.pyannote[3687].start 24085.97159375
transcript.pyannote[3687].end 24086.02221875
transcript.pyannote[3688].speaker SPEAKER_17
transcript.pyannote[3688].start 24092.62034375
transcript.pyannote[3688].end 24093.02534375
transcript.pyannote[3689].speaker SPEAKER_38
transcript.pyannote[3689].start 24093.02534375
transcript.pyannote[3689].end 24093.71721875
transcript.pyannote[3690].speaker SPEAKER_17
transcript.pyannote[3690].start 24093.71721875
transcript.pyannote[3690].end 24094.03784375
transcript.pyannote[3691].speaker SPEAKER_35
transcript.pyannote[3691].start 24094.54409375
transcript.pyannote[3691].end 24094.56096875
transcript.pyannote[3692].speaker SPEAKER_38
transcript.pyannote[3692].start 24094.56096875
transcript.pyannote[3692].end 24094.59471875
transcript.pyannote[3693].speaker SPEAKER_35
transcript.pyannote[3693].start 24094.59471875
transcript.pyannote[3693].end 24094.72971875
transcript.pyannote[3694].speaker SPEAKER_38
transcript.pyannote[3694].start 24098.76284375
transcript.pyannote[3694].end 24105.46221875
transcript.pyannote[3695].speaker SPEAKER_38
transcript.pyannote[3695].start 24105.58034375
transcript.pyannote[3695].end 24108.17909375
transcript.pyannote[3696].speaker SPEAKER_38
transcript.pyannote[3696].start 24108.49971875
transcript.pyannote[3696].end 24109.96784375
transcript.pyannote[3697].speaker SPEAKER_00
transcript.pyannote[3697].start 24121.10534375
transcript.pyannote[3697].end 24122.91096875
transcript.pyannote[3698].speaker SPEAKER_37
transcript.pyannote[3698].start 24121.88159375
transcript.pyannote[3698].end 24122.86034375
transcript.pyannote[3699].speaker SPEAKER_37
transcript.pyannote[3699].start 24122.87721875
transcript.pyannote[3699].end 24122.89409375
transcript.pyannote[3700].speaker SPEAKER_37
transcript.pyannote[3700].start 24122.91096875
transcript.pyannote[3700].end 24123.19784375
transcript.pyannote[3701].speaker SPEAKER_00
transcript.pyannote[3701].start 24122.92784375
transcript.pyannote[3701].end 24122.94471875
transcript.pyannote[3702].speaker SPEAKER_23
transcript.pyannote[3702].start 24142.48596875
transcript.pyannote[3702].end 24144.89909375
transcript.pyannote[3703].speaker SPEAKER_29
transcript.pyannote[3703].start 24144.89909375
transcript.pyannote[3703].end 24145.43909375
transcript.pyannote[3704].speaker SPEAKER_29
transcript.pyannote[3704].start 24145.96221875
transcript.pyannote[3704].end 24145.99596875
transcript.pyannote[3705].speaker SPEAKER_29
transcript.pyannote[3705].start 24146.97471875
transcript.pyannote[3705].end 24147.02534375
transcript.pyannote[3706].speaker SPEAKER_29
transcript.pyannote[3706].start 24147.32909375
transcript.pyannote[3706].end 24147.75096875
transcript.pyannote[3707].speaker SPEAKER_29
transcript.pyannote[3707].start 24147.97034375
transcript.pyannote[3707].end 24148.03784375
transcript.pyannote[3708].speaker SPEAKER_29
transcript.pyannote[3708].start 24148.59471875
transcript.pyannote[3708].end 24148.61159375
transcript.pyannote[3709].speaker SPEAKER_28
transcript.pyannote[3709].start 24161.92596875
transcript.pyannote[3709].end 24162.31409375
transcript.pyannote[3710].speaker SPEAKER_33
transcript.pyannote[3710].start 24163.07346875
transcript.pyannote[3710].end 24166.24596875
transcript.pyannote[3711].speaker SPEAKER_28
transcript.pyannote[3711].start 24166.70159375
transcript.pyannote[3711].end 24168.27096875
transcript.pyannote[3712].speaker SPEAKER_33
transcript.pyannote[3712].start 24168.27096875
transcript.pyannote[3712].end 24169.14846875
transcript.pyannote[3713].speaker SPEAKER_33
transcript.pyannote[3713].start 24169.65471875
transcript.pyannote[3713].end 24176.97846875
transcript.pyannote[3714].speaker SPEAKER_38
transcript.pyannote[3714].start 24176.97846875
transcript.pyannote[3714].end 24178.83471875
transcript.pyannote[3715].speaker SPEAKER_33
transcript.pyannote[3715].start 24178.83471875
transcript.pyannote[3715].end 24178.96971875
transcript.pyannote[3716].speaker SPEAKER_38
transcript.pyannote[3716].start 24178.96971875
transcript.pyannote[3716].end 24179.02034375
transcript.pyannote[3717].speaker SPEAKER_00
transcript.pyannote[3717].start 24179.02034375
transcript.pyannote[3717].end 24185.12909375
transcript.pyannote[3718].speaker SPEAKER_38
transcript.pyannote[3718].start 24179.07096875
transcript.pyannote[3718].end 24179.76284375
transcript.pyannote[3719].speaker SPEAKER_00
transcript.pyannote[3719].start 24186.98534375
transcript.pyannote[3719].end 24193.76909375
transcript.pyannote[3720].speaker SPEAKER_29
transcript.pyannote[3720].start 24193.76909375
transcript.pyannote[3720].end 24193.81971875
transcript.pyannote[3721].speaker SPEAKER_29
transcript.pyannote[3721].start 24197.95409375
transcript.pyannote[3721].end 24198.03846875
transcript.pyannote[3722].speaker SPEAKER_33
transcript.pyannote[3722].start 24198.03846875
transcript.pyannote[3722].end 24205.66596875
transcript.pyannote[3723].speaker SPEAKER_00
transcript.pyannote[3723].start 24206.13846875
transcript.pyannote[3723].end 24211.45409375
transcript.pyannote[3724].speaker SPEAKER_34
transcript.pyannote[3724].start 24209.37846875
transcript.pyannote[3724].end 24209.41221875
transcript.pyannote[3725].speaker SPEAKER_38
transcript.pyannote[3725].start 24209.41221875
transcript.pyannote[3725].end 24209.96909375
transcript.pyannote[3726].speaker SPEAKER_38
transcript.pyannote[3726].start 24211.20096875
transcript.pyannote[3726].end 24220.97159375
transcript.pyannote[3727].speaker SPEAKER_37
transcript.pyannote[3727].start 24220.97159375
transcript.pyannote[3727].end 24221.32596875
transcript.pyannote[3728].speaker SPEAKER_38
transcript.pyannote[3728].start 24221.32596875
transcript.pyannote[3728].end 24221.83221875
transcript.pyannote[3729].speaker SPEAKER_37
transcript.pyannote[3729].start 24221.83221875
transcript.pyannote[3729].end 24223.51971875
transcript.pyannote[3730].speaker SPEAKER_22
transcript.pyannote[3730].start 24224.70096875
transcript.pyannote[3730].end 24227.19846875
transcript.pyannote[3731].speaker SPEAKER_37
transcript.pyannote[3731].start 24227.19846875
transcript.pyannote[3731].end 24228.17721875
transcript.pyannote[3732].speaker SPEAKER_22
transcript.pyannote[3732].start 24227.21534375
transcript.pyannote[3732].end 24227.89034375
transcript.pyannote[3733].speaker SPEAKER_37
transcript.pyannote[3733].start 24228.73409375
transcript.pyannote[3733].end 24229.13909375
transcript.pyannote[3734].speaker SPEAKER_37
transcript.pyannote[3734].start 24229.94909375
transcript.pyannote[3734].end 24230.03346875
transcript.pyannote[3735].speaker SPEAKER_37
transcript.pyannote[3735].start 24230.32034375
transcript.pyannote[3735].end 24231.75471875
transcript.pyannote[3736].speaker SPEAKER_39
transcript.pyannote[3736].start 24236.47971875
transcript.pyannote[3736].end 24237.20534375
transcript.pyannote[3737].speaker SPEAKER_00
transcript.pyannote[3737].start 24245.84534375
transcript.pyannote[3737].end 24246.52034375
transcript.pyannote[3738].speaker SPEAKER_00
transcript.pyannote[3738].start 24250.01346875
transcript.pyannote[3738].end 24250.35096875
transcript.pyannote[3739].speaker SPEAKER_28
transcript.pyannote[3739].start 24254.23221875
transcript.pyannote[3739].end 24255.10971875
transcript.pyannote[3740].speaker SPEAKER_33
transcript.pyannote[3740].start 24258.23159375
transcript.pyannote[3740].end 24259.21034375
transcript.pyannote[3741].speaker SPEAKER_28
transcript.pyannote[3741].start 24259.39596875
transcript.pyannote[3741].end 24259.98659375
transcript.pyannote[3742].speaker SPEAKER_28
transcript.pyannote[3742].start 24260.00346875
transcript.pyannote[3742].end 24260.03721875
transcript.pyannote[3743].speaker SPEAKER_38
transcript.pyannote[3743].start 24263.83409375
transcript.pyannote[3743].end 24265.16721875
transcript.pyannote[3744].speaker SPEAKER_34
transcript.pyannote[3744].start 24266.63534375
transcript.pyannote[3744].end 24266.65221875
transcript.pyannote[3745].speaker SPEAKER_25
transcript.pyannote[3745].start 24266.65221875
transcript.pyannote[3745].end 24268.89659375
transcript.pyannote[3746].speaker SPEAKER_38
transcript.pyannote[3746].start 24268.81221875
transcript.pyannote[3746].end 24270.02721875
transcript.pyannote[3747].speaker SPEAKER_25
transcript.pyannote[3747].start 24275.12346875
transcript.pyannote[3747].end 24278.04284375
transcript.pyannote[3748].speaker SPEAKER_28
transcript.pyannote[3748].start 24277.08096875
transcript.pyannote[3748].end 24277.28346875
transcript.pyannote[3749].speaker SPEAKER_38
transcript.pyannote[3749].start 24277.28346875
transcript.pyannote[3749].end 24277.31721875
transcript.pyannote[3750].speaker SPEAKER_28
transcript.pyannote[3750].start 24277.31721875
transcript.pyannote[3750].end 24277.35096875
transcript.pyannote[3751].speaker SPEAKER_38
transcript.pyannote[3751].start 24277.35096875
transcript.pyannote[3751].end 24277.38471875
transcript.pyannote[3752].speaker SPEAKER_26
transcript.pyannote[3752].start 24278.98784375
transcript.pyannote[3752].end 24279.03846875
transcript.pyannote[3753].speaker SPEAKER_26
transcript.pyannote[3753].start 24279.27471875
transcript.pyannote[3753].end 24279.29159375
transcript.pyannote[3754].speaker SPEAKER_25
transcript.pyannote[3754].start 24279.47721875
transcript.pyannote[3754].end 24280.33784375
transcript.pyannote[3755].speaker SPEAKER_29
transcript.pyannote[3755].start 24315.94409375
transcript.pyannote[3755].end 24316.19721875
transcript.pyannote[3756].speaker SPEAKER_30
transcript.pyannote[3756].start 24316.19721875
transcript.pyannote[3756].end 24316.28159375
transcript.pyannote[3757].speaker SPEAKER_29
transcript.pyannote[3757].start 24316.28159375
transcript.pyannote[3757].end 24316.90596875
transcript.pyannote[3758].speaker SPEAKER_30
transcript.pyannote[3758].start 24316.90596875
transcript.pyannote[3758].end 24317.39534375
transcript.pyannote[3759].speaker SPEAKER_29
transcript.pyannote[3759].start 24317.39534375
transcript.pyannote[3759].end 24317.41221875
transcript.pyannote[3760].speaker SPEAKER_30
transcript.pyannote[3760].start 24317.41221875
transcript.pyannote[3760].end 24317.51346875
transcript.pyannote[3761].speaker SPEAKER_29
transcript.pyannote[3761].start 24317.51346875
transcript.pyannote[3761].end 24317.54721875
transcript.pyannote[3762].speaker SPEAKER_30
transcript.pyannote[3762].start 24317.54721875
transcript.pyannote[3762].end 24317.64846875
transcript.pyannote[3763].speaker SPEAKER_33
transcript.pyannote[3763].start 24317.64846875
transcript.pyannote[3763].end 24319.13346875
transcript.pyannote[3764].speaker SPEAKER_30
transcript.pyannote[3764].start 24318.55971875
transcript.pyannote[3764].end 24321.54659375
transcript.pyannote[3765].speaker SPEAKER_33
transcript.pyannote[3765].start 24319.55534375
transcript.pyannote[3765].end 24331.85721875
transcript.pyannote[3766].speaker SPEAKER_30
transcript.pyannote[3766].start 24322.37346875
transcript.pyannote[3766].end 24327.89159375
transcript.pyannote[3767].speaker SPEAKER_29
transcript.pyannote[3767].start 24327.89159375
transcript.pyannote[3767].end 24332.00909375
transcript.pyannote[3768].speaker SPEAKER_30
transcript.pyannote[3768].start 24331.85721875
transcript.pyannote[3768].end 24331.97534375
transcript.pyannote[3769].speaker SPEAKER_30
transcript.pyannote[3769].start 24332.00909375
transcript.pyannote[3769].end 24332.02596875
transcript.pyannote[3770].speaker SPEAKER_29
transcript.pyannote[3770].start 24332.02596875
transcript.pyannote[3770].end 24332.04284375
transcript.pyannote[3771].speaker SPEAKER_30
transcript.pyannote[3771].start 24332.04284375
transcript.pyannote[3771].end 24332.09346875
transcript.pyannote[3772].speaker SPEAKER_29
transcript.pyannote[3772].start 24332.09346875
transcript.pyannote[3772].end 24332.48159375
transcript.pyannote[3773].speaker SPEAKER_29
transcript.pyannote[3773].start 24332.95409375
transcript.pyannote[3773].end 24333.03846875
transcript.pyannote[3774].speaker SPEAKER_29
transcript.pyannote[3774].start 24333.24096875
transcript.pyannote[3774].end 24333.32534375
transcript.pyannote[3775].speaker SPEAKER_29
transcript.pyannote[3775].start 24367.02471875
transcript.pyannote[3775].end 24369.11721875
transcript.pyannote[3776].speaker SPEAKER_23
transcript.pyannote[3776].start 24450.15096875
transcript.pyannote[3776].end 24451.38284375
transcript.pyannote[3777].speaker SPEAKER_30
transcript.pyannote[3777].start 24458.18346875
transcript.pyannote[3777].end 24458.79096875
transcript.pyannote[3778].speaker SPEAKER_19
transcript.pyannote[3778].start 24459.60096875
transcript.pyannote[3778].end 24459.66846875
transcript.pyannote[3779].speaker SPEAKER_37
transcript.pyannote[3779].start 24459.66846875
transcript.pyannote[3779].end 24459.75284375
transcript.pyannote[3780].speaker SPEAKER_19
transcript.pyannote[3780].start 24459.75284375
transcript.pyannote[3780].end 24460.86659375
transcript.pyannote[3781].speaker SPEAKER_07
transcript.pyannote[3781].start 24467.11034375
transcript.pyannote[3781].end 24468.66284375
transcript.pyannote[3782].speaker SPEAKER_07
transcript.pyannote[3782].start 24468.67971875
transcript.pyannote[3782].end 24469.05096875
transcript.pyannote[3783].speaker SPEAKER_07
transcript.pyannote[3783].start 24469.64159375
transcript.pyannote[3783].end 24470.50221875
transcript.pyannote[3784].speaker SPEAKER_37
transcript.pyannote[3784].start 24472.86471875
transcript.pyannote[3784].end 24473.08409375
transcript.pyannote[3785].speaker SPEAKER_33
transcript.pyannote[3785].start 24480.27284375
transcript.pyannote[3785].end 24481.20096875
transcript.pyannote[3786].speaker SPEAKER_37
transcript.pyannote[3786].start 24499.88159375
transcript.pyannote[3786].end 24500.05034375
transcript.pyannote[3787].speaker SPEAKER_05
transcript.pyannote[3787].start 24503.30721875
transcript.pyannote[3787].end 24503.93159375
transcript.pyannote[3788].speaker SPEAKER_05
transcript.pyannote[3788].start 24503.96534375
transcript.pyannote[3788].end 24504.03284375
transcript.pyannote[3789].speaker SPEAKER_05
transcript.pyannote[3789].start 24504.26909375
transcript.pyannote[3789].end 24505.01159375
transcript.pyannote[3790].speaker SPEAKER_29
transcript.pyannote[3790].start 24516.18284375
transcript.pyannote[3790].end 24519.70971875
transcript.pyannote[3791].speaker SPEAKER_28
transcript.pyannote[3791].start 24518.22471875
transcript.pyannote[3791].end 24520.95846875
transcript.pyannote[3792].speaker SPEAKER_12
transcript.pyannote[3792].start 24646.35659375
transcript.pyannote[3792].end 24647.28471875
transcript.pyannote[3793].speaker SPEAKER_29
transcript.pyannote[3793].start 24657.96659375
transcript.pyannote[3793].end 24666.58971875
transcript.pyannote[3794].speaker SPEAKER_28
transcript.pyannote[3794].start 24660.66659375
transcript.pyannote[3794].end 24661.52721875
transcript.pyannote[3795].speaker SPEAKER_29
transcript.pyannote[3795].start 24666.70784375
transcript.pyannote[3795].end 24668.14221875
transcript.pyannote[3796].speaker SPEAKER_00
transcript.pyannote[3796].start 24681.22034375
transcript.pyannote[3796].end 24682.28346875
transcript.pyannote[3797].speaker SPEAKER_28
transcript.pyannote[3797].start 24691.96971875
transcript.pyannote[3797].end 24694.88909375
transcript.pyannote[3798].speaker SPEAKER_12
transcript.pyannote[3798].start 24692.22284375
transcript.pyannote[3798].end 24692.83034375
transcript.pyannote[3799].speaker SPEAKER_00
transcript.pyannote[3799].start 24696.03659375
transcript.pyannote[3799].end 24696.05346875
transcript.pyannote[3800].speaker SPEAKER_29
transcript.pyannote[3800].start 24696.05346875
transcript.pyannote[3800].end 24696.07034375
transcript.pyannote[3801].speaker SPEAKER_00
transcript.pyannote[3801].start 24696.07034375
transcript.pyannote[3801].end 24696.20534375
transcript.pyannote[3802].speaker SPEAKER_00
transcript.pyannote[3802].start 24696.25596875
transcript.pyannote[3802].end 24696.49221875
transcript.pyannote[3803].speaker SPEAKER_00
transcript.pyannote[3803].start 24696.55971875
transcript.pyannote[3803].end 24696.57659375
transcript.pyannote[3804].speaker SPEAKER_28
transcript.pyannote[3804].start 24696.57659375
transcript.pyannote[3804].end 24697.92659375
transcript.pyannote[3805].speaker SPEAKER_38
transcript.pyannote[3805].start 24700.45784375
transcript.pyannote[3805].end 24700.47471875
transcript.pyannote[3806].speaker SPEAKER_04
transcript.pyannote[3806].start 24700.47471875
transcript.pyannote[3806].end 24700.49159375
transcript.pyannote[3807].speaker SPEAKER_38
transcript.pyannote[3807].start 24700.49159375
transcript.pyannote[3807].end 24701.97659375
transcript.pyannote[3808].speaker SPEAKER_04
transcript.pyannote[3808].start 24701.97659375
transcript.pyannote[3808].end 24702.02721875
transcript.pyannote[3809].speaker SPEAKER_38
transcript.pyannote[3809].start 24702.02721875
transcript.pyannote[3809].end 24702.58409375
transcript.pyannote[3810].speaker SPEAKER_04
transcript.pyannote[3810].start 24702.58409375
transcript.pyannote[3810].end 24702.80346875
transcript.pyannote[3811].speaker SPEAKER_38
transcript.pyannote[3811].start 24702.80346875
transcript.pyannote[3811].end 24702.92159375
transcript.pyannote[3812].speaker SPEAKER_38
transcript.pyannote[3812].start 24704.50784375
transcript.pyannote[3812].end 24705.80721875
transcript.pyannote[3813].speaker SPEAKER_29
transcript.pyannote[3813].start 24718.96971875
transcript.pyannote[3813].end 24719.03721875
transcript.pyannote[3814].speaker SPEAKER_29
transcript.pyannote[3814].start 24719.05409375
transcript.pyannote[3814].end 24719.50971875
transcript.pyannote[3815].speaker SPEAKER_29
transcript.pyannote[3815].start 24719.76284375
transcript.pyannote[3815].end 24720.03284375
transcript.pyannote[3816].speaker SPEAKER_29
transcript.pyannote[3816].start 24721.97346875
transcript.pyannote[3816].end 24722.02409375
transcript.pyannote[3817].speaker SPEAKER_29
transcript.pyannote[3817].start 24722.04096875
transcript.pyannote[3817].end 24722.51346875
transcript.pyannote[3818].speaker SPEAKER_23
transcript.pyannote[3818].start 24727.67721875
transcript.pyannote[3818].end 24728.35221875
transcript.pyannote[3819].speaker SPEAKER_14
transcript.pyannote[3819].start 24733.02659375
transcript.pyannote[3819].end 24758.30534375
transcript.pyannote[3820].speaker SPEAKER_14
transcript.pyannote[3820].start 24758.77784375
transcript.pyannote[3820].end 24769.59471875
transcript.pyannote[3821].speaker SPEAKER_30
transcript.pyannote[3821].start 24769.59471875
transcript.pyannote[3821].end 24769.84784375
transcript.pyannote[3822].speaker SPEAKER_14
transcript.pyannote[3822].start 24770.35409375
transcript.pyannote[3822].end 24773.98221875
transcript.pyannote[3823].speaker SPEAKER_14
transcript.pyannote[3823].start 24774.50534375
transcript.pyannote[3823].end 24775.78784375
transcript.pyannote[3824].speaker SPEAKER_14
transcript.pyannote[3824].start 24778.57221875
transcript.pyannote[3824].end 24780.39471875
transcript.pyannote[3825].speaker SPEAKER_29
transcript.pyannote[3825].start 24780.39471875
transcript.pyannote[3825].end 24782.36909375
transcript.pyannote[3826].speaker SPEAKER_29
transcript.pyannote[3826].start 24783.58409375
transcript.pyannote[3826].end 24783.75284375
transcript.pyannote[3827].speaker SPEAKER_14
transcript.pyannote[3827].start 24884.61471875
transcript.pyannote[3827].end 24884.95221875
transcript.pyannote[3828].speaker SPEAKER_14
transcript.pyannote[3828].start 24886.57221875
transcript.pyannote[3828].end 24887.70284375
transcript.pyannote[3829].speaker SPEAKER_14
transcript.pyannote[3829].start 24889.40721875
transcript.pyannote[3829].end 24893.32221875
transcript.pyannote[3830].speaker SPEAKER_14
transcript.pyannote[3830].start 24898.41846875
transcript.pyannote[3830].end 24903.66659375
transcript.pyannote[3831].speaker SPEAKER_14
transcript.pyannote[3831].start 24904.30784375
transcript.pyannote[3831].end 24907.86846875
transcript.pyannote[3832].speaker SPEAKER_24
transcript.pyannote[3832].start 24904.37534375
transcript.pyannote[3832].end 24905.06721875
transcript.pyannote[3833].speaker SPEAKER_23
transcript.pyannote[3833].start 24914.48346875
transcript.pyannote[3833].end 24920.64284375
transcript.pyannote[3834].speaker SPEAKER_23
transcript.pyannote[3834].start 24920.91284375
transcript.pyannote[3834].end 24926.53221875
transcript.pyannote[3835].speaker SPEAKER_23
transcript.pyannote[3835].start 24926.59971875
transcript.pyannote[3835].end 24931.84784375
transcript.pyannote[3836].speaker SPEAKER_23
transcript.pyannote[3836].start 24931.98284375
transcript.pyannote[3836].end 24934.00784375
transcript.pyannote[3837].speaker SPEAKER_23
transcript.pyannote[3837].start 24934.15971875
transcript.pyannote[3837].end 24937.55159375
transcript.pyannote[3838].speaker SPEAKER_23
transcript.pyannote[3838].start 24937.83846875
transcript.pyannote[3838].end 24951.64221875
transcript.pyannote[3839].speaker SPEAKER_23
transcript.pyannote[3839].start 24952.14846875
transcript.pyannote[3839].end 24974.33909375
transcript.pyannote[3840].speaker SPEAKER_28
transcript.pyannote[3840].start 24984.86909375
transcript.pyannote[3840].end 24985.62846875
transcript.pyannote[3841].speaker SPEAKER_28
transcript.pyannote[3841].start 24986.55659375
transcript.pyannote[3841].end 24987.41721875
transcript.pyannote[3842].speaker SPEAKER_28
transcript.pyannote[3842].start 25015.46346875
transcript.pyannote[3842].end 25020.03659375
transcript.pyannote[3843].speaker SPEAKER_28
transcript.pyannote[3843].start 25021.21784375
transcript.pyannote[3843].end 25023.41159375
transcript.pyannote[3844].speaker SPEAKER_29
transcript.pyannote[3844].start 25024.96409375
transcript.pyannote[3844].end 25025.08221875
transcript.pyannote[3845].speaker SPEAKER_28
transcript.pyannote[3845].start 25035.13971875
transcript.pyannote[3845].end 25039.35846875
transcript.pyannote[3846].speaker SPEAKER_28
transcript.pyannote[3846].start 25048.38659375
transcript.pyannote[3846].end 25052.33534375
transcript.pyannote[3847].speaker SPEAKER_34
transcript.pyannote[3847].start 25058.32596875
transcript.pyannote[3847].end 25060.14846875
transcript.pyannote[3848].speaker SPEAKER_05
transcript.pyannote[3848].start 25066.96596875
transcript.pyannote[3848].end 25067.16846875
transcript.pyannote[3849].speaker SPEAKER_34
transcript.pyannote[3849].start 25067.16846875
transcript.pyannote[3849].end 25067.32034375
transcript.pyannote[3850].speaker SPEAKER_34
transcript.pyannote[3850].start 25067.50596875
transcript.pyannote[3850].end 25067.82659375
transcript.pyannote[3851].speaker SPEAKER_34
transcript.pyannote[3851].start 25067.89409375
transcript.pyannote[3851].end 25067.97846875
transcript.pyannote[3852].speaker SPEAKER_05
transcript.pyannote[3852].start 25067.97846875
transcript.pyannote[3852].end 25068.02909375
transcript.pyannote[3853].speaker SPEAKER_05
transcript.pyannote[3853].start 25068.48471875
transcript.pyannote[3853].end 25068.53534375
transcript.pyannote[3854].speaker SPEAKER_39
transcript.pyannote[3854].start 25068.55221875
transcript.pyannote[3854].end 25068.72096875
transcript.pyannote[3855].speaker SPEAKER_05
transcript.pyannote[3855].start 25068.75471875
transcript.pyannote[3855].end 25068.82221875
transcript.pyannote[3856].speaker SPEAKER_39
transcript.pyannote[3856].start 25068.82221875
transcript.pyannote[3856].end 25068.85596875
transcript.pyannote[3857].speaker SPEAKER_05
transcript.pyannote[3857].start 25068.85596875
transcript.pyannote[3857].end 25068.88971875
transcript.pyannote[3858].speaker SPEAKER_39
transcript.pyannote[3858].start 25068.88971875
transcript.pyannote[3858].end 25069.26096875
transcript.pyannote[3859].speaker SPEAKER_39
transcript.pyannote[3859].start 25073.58096875
transcript.pyannote[3859].end 25074.07034375
transcript.pyannote[3860].speaker SPEAKER_37
transcript.pyannote[3860].start 25094.67471875
transcript.pyannote[3860].end 25095.97409375
transcript.pyannote[3861].speaker SPEAKER_38
transcript.pyannote[3861].start 25095.97409375
transcript.pyannote[3861].end 25115.32971875
transcript.pyannote[3862].speaker SPEAKER_29
transcript.pyannote[3862].start 25103.98971875
transcript.pyannote[3862].end 25104.29346875
transcript.pyannote[3863].speaker SPEAKER_29
transcript.pyannote[3863].start 25105.44096875
transcript.pyannote[3863].end 25106.97659375
transcript.pyannote[3864].speaker SPEAKER_29
transcript.pyannote[3864].start 25108.03971875
transcript.pyannote[3864].end 25108.36034375
transcript.pyannote[3865].speaker SPEAKER_14
transcript.pyannote[3865].start 25108.36034375
transcript.pyannote[3865].end 25109.47409375
transcript.pyannote[3866].speaker SPEAKER_14
transcript.pyannote[3866].start 25114.82346875
transcript.pyannote[3866].end 25114.97534375
transcript.pyannote[3867].speaker SPEAKER_35
transcript.pyannote[3867].start 25114.97534375
transcript.pyannote[3867].end 25115.19471875
transcript.pyannote[3868].speaker SPEAKER_38
transcript.pyannote[3868].start 25116.12284375
transcript.pyannote[3868].end 25116.81471875
transcript.pyannote[3869].speaker SPEAKER_38
transcript.pyannote[3869].start 25117.13534375
transcript.pyannote[3869].end 25117.35471875
transcript.pyannote[3870].speaker SPEAKER_35
transcript.pyannote[3870].start 25118.09721875
transcript.pyannote[3870].end 25121.08409375
transcript.pyannote[3871].speaker SPEAKER_35
transcript.pyannote[3871].start 25121.50596875
transcript.pyannote[3871].end 25122.36659375
transcript.pyannote[3872].speaker SPEAKER_38
transcript.pyannote[3872].start 25122.36659375
transcript.pyannote[3872].end 25122.41721875
transcript.pyannote[3873].speaker SPEAKER_35
transcript.pyannote[3873].start 25122.41721875
transcript.pyannote[3873].end 25122.48471875
transcript.pyannote[3874].speaker SPEAKER_38
transcript.pyannote[3874].start 25122.48471875
transcript.pyannote[3874].end 25123.75034375
transcript.pyannote[3875].speaker SPEAKER_00
transcript.pyannote[3875].start 25123.75034375
transcript.pyannote[3875].end 25124.72909375
transcript.pyannote[3876].speaker SPEAKER_38
transcript.pyannote[3876].start 25123.76721875
transcript.pyannote[3876].end 25123.83471875
transcript.pyannote[3877].speaker SPEAKER_38
transcript.pyannote[3877].start 25123.85159375
transcript.pyannote[3877].end 25123.93596875
transcript.pyannote[3878].speaker SPEAKER_30
transcript.pyannote[3878].start 25123.95284375
transcript.pyannote[3878].end 25124.00346875
transcript.pyannote[3879].speaker SPEAKER_28
transcript.pyannote[3879].start 25124.00346875
transcript.pyannote[3879].end 25124.02034375
transcript.pyannote[3880].speaker SPEAKER_30
transcript.pyannote[3880].start 25124.02034375
transcript.pyannote[3880].end 25124.03721875
transcript.pyannote[3881].speaker SPEAKER_28
transcript.pyannote[3881].start 25124.03721875
transcript.pyannote[3881].end 25126.16346875
transcript.pyannote[3882].speaker SPEAKER_38
transcript.pyannote[3882].start 25126.18034375
transcript.pyannote[3882].end 25133.85846875
transcript.pyannote[3883].speaker SPEAKER_28
transcript.pyannote[3883].start 25128.71159375
transcript.pyannote[3883].end 25128.88034375
transcript.pyannote[3884].speaker SPEAKER_28
transcript.pyannote[3884].start 25133.28471875
transcript.pyannote[3884].end 25135.02284375
transcript.pyannote[3885].speaker SPEAKER_38
transcript.pyannote[3885].start 25135.52909375
transcript.pyannote[3885].end 25135.59659375
transcript.pyannote[3886].speaker SPEAKER_07
transcript.pyannote[3886].start 25135.59659375
transcript.pyannote[3886].end 25136.86221875
transcript.pyannote[3887].speaker SPEAKER_24
transcript.pyannote[3887].start 25142.86971875
transcript.pyannote[3887].end 25142.88659375
transcript.pyannote[3888].speaker SPEAKER_14
transcript.pyannote[3888].start 25142.88659375
transcript.pyannote[3888].end 25147.39221875
transcript.pyannote[3889].speaker SPEAKER_14
transcript.pyannote[3889].start 25147.61159375
transcript.pyannote[3889].end 25150.27784375
transcript.pyannote[3890].speaker SPEAKER_14
transcript.pyannote[3890].start 25150.95284375
transcript.pyannote[3890].end 25161.36471875
transcript.pyannote[3891].speaker SPEAKER_14
transcript.pyannote[3891].start 25161.78659375
transcript.pyannote[3891].end 25162.39409375
transcript.pyannote[3892].speaker SPEAKER_14
transcript.pyannote[3892].start 25163.52471875
transcript.pyannote[3892].end 25167.38909375
transcript.pyannote[3893].speaker SPEAKER_14
transcript.pyannote[3893].start 25169.75159375
transcript.pyannote[3893].end 25172.94096875
transcript.pyannote[3894].speaker SPEAKER_14
transcript.pyannote[3894].start 25174.81409375
transcript.pyannote[3894].end 25175.82659375
transcript.pyannote[3895].speaker SPEAKER_14
transcript.pyannote[3895].start 25176.70409375
transcript.pyannote[3895].end 25181.09159375
transcript.pyannote[3896].speaker SPEAKER_14
transcript.pyannote[3896].start 25181.66534375
transcript.pyannote[3896].end 25185.46221875
transcript.pyannote[3897].speaker SPEAKER_28
transcript.pyannote[3897].start 25191.97596875
transcript.pyannote[3897].end 25192.02659375
transcript.pyannote[3898].speaker SPEAKER_28
transcript.pyannote[3898].start 25192.24596875
transcript.pyannote[3898].end 25192.29659375
transcript.pyannote[3899].speaker SPEAKER_28
transcript.pyannote[3899].start 25192.43159375
transcript.pyannote[3899].end 25192.44846875
transcript.pyannote[3900].speaker SPEAKER_13
transcript.pyannote[3900].start 25195.94159375
transcript.pyannote[3900].end 25223.41409375
transcript.pyannote[3901].speaker SPEAKER_13
transcript.pyannote[3901].start 25223.70096875
transcript.pyannote[3901].end 25228.35846875
transcript.pyannote[3902].speaker SPEAKER_13
transcript.pyannote[3902].start 25228.83096875
transcript.pyannote[3902].end 25232.12159375
transcript.pyannote[3903].speaker SPEAKER_13
transcript.pyannote[3903].start 25232.44221875
transcript.pyannote[3903].end 25235.27721875
transcript.pyannote[3904].speaker SPEAKER_14
transcript.pyannote[3904].start 25237.72409375
transcript.pyannote[3904].end 25238.48346875
transcript.pyannote[3905].speaker SPEAKER_14
transcript.pyannote[3905].start 25240.42409375
transcript.pyannote[3905].end 25241.97659375
transcript.pyannote[3906].speaker SPEAKER_14
transcript.pyannote[3906].start 25242.44909375
transcript.pyannote[3906].end 25243.10721875
transcript.pyannote[3907].speaker SPEAKER_14
transcript.pyannote[3907].start 25243.54596875
transcript.pyannote[3907].end 25246.02659375
transcript.pyannote[3908].speaker SPEAKER_37
transcript.pyannote[3908].start 25246.02659375
transcript.pyannote[3908].end 25247.78159375
transcript.pyannote[3909].speaker SPEAKER_37
transcript.pyannote[3909].start 25248.27096875
transcript.pyannote[3909].end 25251.78096875
transcript.pyannote[3910].speaker SPEAKER_37
transcript.pyannote[3910].start 25252.45596875
transcript.pyannote[3910].end 25254.37971875
transcript.pyannote[3911].speaker SPEAKER_37
transcript.pyannote[3911].start 25255.76346875
transcript.pyannote[3911].end 25257.99096875
transcript.pyannote[3912].speaker SPEAKER_37
transcript.pyannote[3912].start 25258.64909375
transcript.pyannote[3912].end 25260.08346875
transcript.pyannote[3913].speaker SPEAKER_37
transcript.pyannote[3913].start 25260.62346875
transcript.pyannote[3913].end 25261.41659375
transcript.pyannote[3914].speaker SPEAKER_37
transcript.pyannote[3914].start 25261.87221875
transcript.pyannote[3914].end 25263.76221875
transcript.pyannote[3915].speaker SPEAKER_37
transcript.pyannote[3915].start 25264.15034375
transcript.pyannote[3915].end 25264.96034375
transcript.pyannote[3916].speaker SPEAKER_37
transcript.pyannote[3916].start 25266.07409375
transcript.pyannote[3916].end 25266.90096875
transcript.pyannote[3917].speaker SPEAKER_37
transcript.pyannote[3917].start 25267.67721875
transcript.pyannote[3917].end 25269.55034375
transcript.pyannote[3918].speaker SPEAKER_14
transcript.pyannote[3918].start 25269.55034375
transcript.pyannote[3918].end 25269.56721875
transcript.pyannote[3919].speaker SPEAKER_37
transcript.pyannote[3919].start 25269.95534375
transcript.pyannote[3919].end 25270.96784375
transcript.pyannote[3920].speaker SPEAKER_14
transcript.pyannote[3920].start 25270.96784375
transcript.pyannote[3920].end 25274.54534375
transcript.pyannote[3921].speaker SPEAKER_14
transcript.pyannote[3921].start 25274.81534375
transcript.pyannote[3921].end 25282.03784375
transcript.pyannote[3922].speaker SPEAKER_14
transcript.pyannote[3922].start 25282.32471875
transcript.pyannote[3922].end 25282.84784375
transcript.pyannote[3923].speaker SPEAKER_14
transcript.pyannote[3923].start 25283.38784375
transcript.pyannote[3923].end 25286.20596875
transcript.pyannote[3924].speaker SPEAKER_37
transcript.pyannote[3924].start 25286.20596875
transcript.pyannote[3924].end 25286.23971875
transcript.pyannote[3925].speaker SPEAKER_14
transcript.pyannote[3925].start 25286.23971875
transcript.pyannote[3925].end 25286.27346875
transcript.pyannote[3926].speaker SPEAKER_14
transcript.pyannote[3926].start 25286.49284375
transcript.pyannote[3926].end 25286.52659375
transcript.pyannote[3927].speaker SPEAKER_37
transcript.pyannote[3927].start 25286.52659375
transcript.pyannote[3927].end 25286.54346875
transcript.pyannote[3928].speaker SPEAKER_14
transcript.pyannote[3928].start 25286.54346875
transcript.pyannote[3928].end 25286.56034375
transcript.pyannote[3929].speaker SPEAKER_37
transcript.pyannote[3929].start 25286.56034375
transcript.pyannote[3929].end 25286.59409375
transcript.pyannote[3930].speaker SPEAKER_14
transcript.pyannote[3930].start 25286.59409375
transcript.pyannote[3930].end 25286.79659375
transcript.pyannote[3931].speaker SPEAKER_37
transcript.pyannote[3931].start 25286.79659375
transcript.pyannote[3931].end 25286.86409375
transcript.pyannote[3932].speaker SPEAKER_14
transcript.pyannote[3932].start 25286.86409375
transcript.pyannote[3932].end 25286.89784375
transcript.pyannote[3933].speaker SPEAKER_37
transcript.pyannote[3933].start 25286.89784375
transcript.pyannote[3933].end 25286.99909375
transcript.pyannote[3934].speaker SPEAKER_14
transcript.pyannote[3934].start 25286.99909375
transcript.pyannote[3934].end 25287.08346875
transcript.pyannote[3935].speaker SPEAKER_24
transcript.pyannote[3935].start 25288.46721875
transcript.pyannote[3935].end 25288.70346875
transcript.pyannote[3936].speaker SPEAKER_14
transcript.pyannote[3936].start 25288.70346875
transcript.pyannote[3936].end 25288.73721875
transcript.pyannote[3937].speaker SPEAKER_14
transcript.pyannote[3937].start 25289.41221875
transcript.pyannote[3937].end 25296.55034375
transcript.pyannote[3938].speaker SPEAKER_14
transcript.pyannote[3938].start 25296.97221875
transcript.pyannote[3938].end 25298.89596875
transcript.pyannote[3939].speaker SPEAKER_14
transcript.pyannote[3939].start 25299.36846875
transcript.pyannote[3939].end 25314.16784375
transcript.pyannote[3940].speaker SPEAKER_14
transcript.pyannote[3940].start 25315.02846875
transcript.pyannote[3940].end 25316.37846875
transcript.pyannote[3941].speaker SPEAKER_14
transcript.pyannote[3941].start 25316.91846875
transcript.pyannote[3941].end 25320.12471875
transcript.pyannote[3942].speaker SPEAKER_37
transcript.pyannote[3942].start 25321.08659375
transcript.pyannote[3942].end 25321.17096875
transcript.pyannote[3943].speaker SPEAKER_37
transcript.pyannote[3943].start 25322.72346875
transcript.pyannote[3943].end 25322.75721875
transcript.pyannote[3944].speaker SPEAKER_14
transcript.pyannote[3944].start 25322.75721875
transcript.pyannote[3944].end 25322.97659375
transcript.pyannote[3945].speaker SPEAKER_37
transcript.pyannote[3945].start 25322.97659375
transcript.pyannote[3945].end 25323.06096875
transcript.pyannote[3946].speaker SPEAKER_14
transcript.pyannote[3946].start 25323.06096875
transcript.pyannote[3946].end 25323.48284375
transcript.pyannote[3947].speaker SPEAKER_14
transcript.pyannote[3947].start 25324.32659375
transcript.pyannote[3947].end 25331.38034375
transcript.pyannote[3948].speaker SPEAKER_14
transcript.pyannote[3948].start 25331.63346875
transcript.pyannote[3948].end 25332.15659375
transcript.pyannote[3949].speaker SPEAKER_27
transcript.pyannote[3949].start 25332.61221875
transcript.pyannote[3949].end 25332.91596875
transcript.pyannote[3950].speaker SPEAKER_27
transcript.pyannote[3950].start 25333.92846875
transcript.pyannote[3950].end 25346.21346875
transcript.pyannote[3951].speaker SPEAKER_14
transcript.pyannote[3951].start 25334.09721875
transcript.pyannote[3951].end 25334.38409375
transcript.pyannote[3952].speaker SPEAKER_14
transcript.pyannote[3952].start 25335.91971875
transcript.pyannote[3952].end 25336.45971875
transcript.pyannote[3953].speaker SPEAKER_30
transcript.pyannote[3953].start 25336.45971875
transcript.pyannote[3953].end 25336.54409375
transcript.pyannote[3954].speaker SPEAKER_14
transcript.pyannote[3954].start 25336.54409375
transcript.pyannote[3954].end 25336.62846875
transcript.pyannote[3955].speaker SPEAKER_30
transcript.pyannote[3955].start 25346.21346875
transcript.pyannote[3955].end 25346.68596875
transcript.pyannote[3956].speaker SPEAKER_30
transcript.pyannote[3956].start 25348.42409375
transcript.pyannote[3956].end 25348.47471875
transcript.pyannote[3957].speaker SPEAKER_27
transcript.pyannote[3957].start 25349.06534375
transcript.pyannote[3957].end 25355.19096875
transcript.pyannote[3958].speaker SPEAKER_27
transcript.pyannote[3958].start 25355.61284375
transcript.pyannote[3958].end 25357.11471875
transcript.pyannote[3959].speaker SPEAKER_27
transcript.pyannote[3959].start 25357.57034375
transcript.pyannote[3959].end 25360.50659375
transcript.pyannote[3960].speaker SPEAKER_27
transcript.pyannote[3960].start 25361.14784375
transcript.pyannote[3960].end 25363.35846875
transcript.pyannote[3961].speaker SPEAKER_27
transcript.pyannote[3961].start 25364.57346875
transcript.pyannote[3961].end 25366.26096875
transcript.pyannote[3962].speaker SPEAKER_14
transcript.pyannote[3962].start 25366.26096875
transcript.pyannote[3962].end 25373.98971875
transcript.pyannote[3963].speaker SPEAKER_27
transcript.pyannote[3963].start 25367.30721875
transcript.pyannote[3963].end 25367.64471875
transcript.pyannote[3964].speaker SPEAKER_31
transcript.pyannote[3964].start 25374.07409375
transcript.pyannote[3964].end 25374.58034375
transcript.pyannote[3965].speaker SPEAKER_37
transcript.pyannote[3965].start 25384.70534375
transcript.pyannote[3965].end 25385.26221875
transcript.pyannote[3966].speaker SPEAKER_06
transcript.pyannote[3966].start 25385.26221875
transcript.pyannote[3966].end 25385.27909375
transcript.pyannote[3967].speaker SPEAKER_06
transcript.pyannote[3967].start 25386.76409375
transcript.pyannote[3967].end 25388.55284375
transcript.pyannote[3968].speaker SPEAKER_06
transcript.pyannote[3968].start 25388.60346875
transcript.pyannote[3968].end 25388.85659375
transcript.pyannote[3969].speaker SPEAKER_29
transcript.pyannote[3969].start 25388.85659375
transcript.pyannote[3969].end 25389.44721875
transcript.pyannote[3970].speaker SPEAKER_06
transcript.pyannote[3970].start 25388.89034375
transcript.pyannote[3970].end 25389.04221875
transcript.pyannote[3971].speaker SPEAKER_06
transcript.pyannote[3971].start 25389.44721875
transcript.pyannote[3971].end 25389.85221875
transcript.pyannote[3972].speaker SPEAKER_29
transcript.pyannote[3972].start 25389.85221875
transcript.pyannote[3972].end 25390.99971875
transcript.pyannote[3973].speaker SPEAKER_23
transcript.pyannote[3973].start 25389.97034375
transcript.pyannote[3973].end 25392.34971875
transcript.pyannote[3974].speaker SPEAKER_14
transcript.pyannote[3974].start 25406.06909375
transcript.pyannote[3974].end 25410.49034375
transcript.pyannote[3975].speaker SPEAKER_37
transcript.pyannote[3975].start 25413.78096875
transcript.pyannote[3975].end 25414.21971875
transcript.pyannote[3976].speaker SPEAKER_13
transcript.pyannote[3976].start 25416.02534375
transcript.pyannote[3976].end 25423.93971875
transcript.pyannote[3977].speaker SPEAKER_13
transcript.pyannote[3977].start 25424.27721875
transcript.pyannote[3977].end 25426.94346875
transcript.pyannote[3978].speaker SPEAKER_13
transcript.pyannote[3978].start 25427.16284375
transcript.pyannote[3978].end 25434.57096875
transcript.pyannote[3979].speaker SPEAKER_14
transcript.pyannote[3979].start 25434.80721875
transcript.pyannote[3979].end 25445.50596875
transcript.pyannote[3980].speaker SPEAKER_14
transcript.pyannote[3980].start 25446.29909375
transcript.pyannote[3980].end 25449.50534375
transcript.pyannote[3981].speaker SPEAKER_31
transcript.pyannote[3981].start 25449.50534375
transcript.pyannote[3981].end 25449.52221875
transcript.pyannote[3982].speaker SPEAKER_14
transcript.pyannote[3982].start 25451.29409375
transcript.pyannote[3982].end 25451.31096875
transcript.pyannote[3983].speaker SPEAKER_31
transcript.pyannote[3983].start 25451.31096875
transcript.pyannote[3983].end 25459.00596875
transcript.pyannote[3984].speaker SPEAKER_31
transcript.pyannote[3984].start 25459.84971875
transcript.pyannote[3984].end 25460.37284375
transcript.pyannote[3985].speaker SPEAKER_14
transcript.pyannote[3985].start 25460.37284375
transcript.pyannote[3985].end 25460.57534375
transcript.pyannote[3986].speaker SPEAKER_31
transcript.pyannote[3986].start 25460.57534375
transcript.pyannote[3986].end 25460.59221875
transcript.pyannote[3987].speaker SPEAKER_14
transcript.pyannote[3987].start 25460.59221875
transcript.pyannote[3987].end 25460.65971875
transcript.pyannote[3988].speaker SPEAKER_31
transcript.pyannote[3988].start 25460.65971875
transcript.pyannote[3988].end 25461.03096875
transcript.pyannote[3989].speaker SPEAKER_14
transcript.pyannote[3989].start 25461.03096875
transcript.pyannote[3989].end 25462.16159375
transcript.pyannote[3990].speaker SPEAKER_14
transcript.pyannote[3990].start 25462.76909375
transcript.pyannote[3990].end 25465.45221875
transcript.pyannote[3991].speaker SPEAKER_31
transcript.pyannote[3991].start 25465.92471875
transcript.pyannote[3991].end 25466.75159375
transcript.pyannote[3992].speaker SPEAKER_14
transcript.pyannote[3992].start 25466.75159375
transcript.pyannote[3992].end 25471.76346875
transcript.pyannote[3993].speaker SPEAKER_27
transcript.pyannote[3993].start 25471.76346875
transcript.pyannote[3993].end 25471.79721875
transcript.pyannote[3994].speaker SPEAKER_27
transcript.pyannote[3994].start 25472.37096875
transcript.pyannote[3994].end 25474.09221875
transcript.pyannote[3995].speaker SPEAKER_27
transcript.pyannote[3995].start 25475.89784375
transcript.pyannote[3995].end 25477.55159375
transcript.pyannote[3996].speaker SPEAKER_03
transcript.pyannote[3996].start 25477.55159375
transcript.pyannote[3996].end 25477.56846875
transcript.pyannote[3997].speaker SPEAKER_03
transcript.pyannote[3997].start 25479.15471875
transcript.pyannote[3997].end 25490.98409375
transcript.pyannote[3998].speaker SPEAKER_03
transcript.pyannote[3998].start 25491.15284375
transcript.pyannote[3998].end 25491.94596875
transcript.pyannote[3999].speaker SPEAKER_03
transcript.pyannote[3999].start 25492.23284375
transcript.pyannote[3999].end 25511.48721875
transcript.pyannote[4000].speaker SPEAKER_14
transcript.pyannote[4000].start 25506.01971875
transcript.pyannote[4000].end 25513.81596875
transcript.pyannote[4001].speaker SPEAKER_14
transcript.pyannote[4001].start 25514.84534375
transcript.pyannote[4001].end 25521.47721875
transcript.pyannote[4002].speaker SPEAKER_14
transcript.pyannote[4002].start 25522.11846875
transcript.pyannote[4002].end 25523.08034375
transcript.pyannote[4003].speaker SPEAKER_14
transcript.pyannote[4003].start 25523.45159375
transcript.pyannote[4003].end 25525.17284375
transcript.pyannote[4004].speaker SPEAKER_14
transcript.pyannote[4004].start 25525.54409375
transcript.pyannote[4004].end 25525.61159375
transcript.pyannote[4005].speaker SPEAKER_14
transcript.pyannote[4005].start 25527.13034375
transcript.pyannote[4005].end 25527.97409375
transcript.pyannote[4006].speaker SPEAKER_31
transcript.pyannote[4006].start 25527.97409375
transcript.pyannote[4006].end 25528.02471875
transcript.pyannote[4007].speaker SPEAKER_14
transcript.pyannote[4007].start 25528.02471875
transcript.pyannote[4007].end 25528.31159375
transcript.pyannote[4008].speaker SPEAKER_31
transcript.pyannote[4008].start 25528.31159375
transcript.pyannote[4008].end 25528.95284375
transcript.pyannote[4009].speaker SPEAKER_14
transcript.pyannote[4009].start 25528.95284375
transcript.pyannote[4009].end 25529.30721875
transcript.pyannote[4010].speaker SPEAKER_14
transcript.pyannote[4010].start 25529.59409375
transcript.pyannote[4010].end 25534.79159375
transcript.pyannote[4011].speaker SPEAKER_14
transcript.pyannote[4011].start 25538.77409375
transcript.pyannote[4011].end 25539.48284375
transcript.pyannote[4012].speaker SPEAKER_30
transcript.pyannote[4012].start 25539.02721875
transcript.pyannote[4012].end 25539.44909375
transcript.pyannote[4013].speaker SPEAKER_30
transcript.pyannote[4013].start 25539.48284375
transcript.pyannote[4013].end 25540.00596875
transcript.pyannote[4014].speaker SPEAKER_14
transcript.pyannote[4014].start 25540.59659375
transcript.pyannote[4014].end 25541.15346875
transcript.pyannote[4015].speaker SPEAKER_14
transcript.pyannote[4015].start 25542.52034375
transcript.pyannote[4015].end 25548.96659375
transcript.pyannote[4016].speaker SPEAKER_37
transcript.pyannote[4016].start 25548.96659375
transcript.pyannote[4016].end 25549.27034375
transcript.pyannote[4017].speaker SPEAKER_14
transcript.pyannote[4017].start 25549.27034375
transcript.pyannote[4017].end 25549.28721875
transcript.pyannote[4018].speaker SPEAKER_37
transcript.pyannote[4018].start 25549.28721875
transcript.pyannote[4018].end 25549.30409375
transcript.pyannote[4019].speaker SPEAKER_14
transcript.pyannote[4019].start 25549.30409375
transcript.pyannote[4019].end 25549.37159375
transcript.pyannote[4020].speaker SPEAKER_37
transcript.pyannote[4020].start 25549.37159375
transcript.pyannote[4020].end 25553.32034375
transcript.pyannote[4021].speaker SPEAKER_37
transcript.pyannote[4021].start 25554.07971875
transcript.pyannote[4021].end 25558.55159375
transcript.pyannote[4022].speaker SPEAKER_37
transcript.pyannote[4022].start 25559.24346875
transcript.pyannote[4022].end 25560.23909375
transcript.pyannote[4023].speaker SPEAKER_14
transcript.pyannote[4023].start 25560.23909375
transcript.pyannote[4023].end 25560.27284375
transcript.pyannote[4024].speaker SPEAKER_14
transcript.pyannote[4024].start 25560.76221875
transcript.pyannote[4024].end 25560.77909375
transcript.pyannote[4025].speaker SPEAKER_37
transcript.pyannote[4025].start 25560.77909375
transcript.pyannote[4025].end 25560.96471875
transcript.pyannote[4026].speaker SPEAKER_14
transcript.pyannote[4026].start 25560.96471875
transcript.pyannote[4026].end 25561.97721875
transcript.pyannote[4027].speaker SPEAKER_14
transcript.pyannote[4027].start 25565.85846875
transcript.pyannote[4027].end 25567.00596875
transcript.pyannote[4028].speaker SPEAKER_14
transcript.pyannote[4028].start 25567.73159375
transcript.pyannote[4028].end 25573.67159375
transcript.pyannote[4029].speaker SPEAKER_14
transcript.pyannote[4029].start 25577.02971875
transcript.pyannote[4029].end 25578.75096875
transcript.pyannote[4030].speaker SPEAKER_14
transcript.pyannote[4030].start 25579.15596875
transcript.pyannote[4030].end 25580.77596875
transcript.pyannote[4031].speaker SPEAKER_27
transcript.pyannote[4031].start 25584.99471875
transcript.pyannote[4031].end 25588.40346875
transcript.pyannote[4032].speaker SPEAKER_14
transcript.pyannote[4032].start 25587.30659375
transcript.pyannote[4032].end 25588.69034375
transcript.pyannote[4033].speaker SPEAKER_37
transcript.pyannote[4033].start 25588.40346875
transcript.pyannote[4033].end 25588.42034375
transcript.pyannote[4034].speaker SPEAKER_37
transcript.pyannote[4034].start 25588.87596875
transcript.pyannote[4034].end 25588.90971875
transcript.pyannote[4035].speaker SPEAKER_27
transcript.pyannote[4035].start 25588.90971875
transcript.pyannote[4035].end 25589.02784375
transcript.pyannote[4036].speaker SPEAKER_37
transcript.pyannote[4036].start 25589.02784375
transcript.pyannote[4036].end 25598.25846875
transcript.pyannote[4037].speaker SPEAKER_37
transcript.pyannote[4037].start 25598.68034375
transcript.pyannote[4037].end 25600.80659375
transcript.pyannote[4038].speaker SPEAKER_37
transcript.pyannote[4038].start 25601.43096875
transcript.pyannote[4038].end 25602.96659375
transcript.pyannote[4039].speaker SPEAKER_14
transcript.pyannote[4039].start 25602.96659375
transcript.pyannote[4039].end 25606.91534375
transcript.pyannote[4040].speaker SPEAKER_14
transcript.pyannote[4040].start 25607.03346875
transcript.pyannote[4040].end 25609.17659375
transcript.pyannote[4041].speaker SPEAKER_14
transcript.pyannote[4041].start 25609.61534375
transcript.pyannote[4041].end 25624.02659375
transcript.pyannote[4042].speaker SPEAKER_37
transcript.pyannote[4042].start 25624.02659375
transcript.pyannote[4042].end 25625.59596875
transcript.pyannote[4043].speaker SPEAKER_37
transcript.pyannote[4043].start 25626.13596875
transcript.pyannote[4043].end 25630.82721875
transcript.pyannote[4044].speaker SPEAKER_37
transcript.pyannote[4044].start 25631.62034375
transcript.pyannote[4044].end 25632.64971875
transcript.pyannote[4045].speaker SPEAKER_37
transcript.pyannote[4045].start 25633.12221875
transcript.pyannote[4045].end 25635.50159375
transcript.pyannote[4046].speaker SPEAKER_37
transcript.pyannote[4046].start 25636.29471875
transcript.pyannote[4046].end 25638.69096875
transcript.pyannote[4047].speaker SPEAKER_37
transcript.pyannote[4047].start 25639.02846875
transcript.pyannote[4047].end 25640.39534375
transcript.pyannote[4048].speaker SPEAKER_37
transcript.pyannote[4048].start 25640.61471875
transcript.pyannote[4048].end 25644.96846875
transcript.pyannote[4049].speaker SPEAKER_30
transcript.pyannote[4049].start 25644.81659375
transcript.pyannote[4049].end 25645.00221875
transcript.pyannote[4050].speaker SPEAKER_37
transcript.pyannote[4050].start 25645.00221875
transcript.pyannote[4050].end 25645.15409375
transcript.pyannote[4051].speaker SPEAKER_30
transcript.pyannote[4051].start 25645.15409375
transcript.pyannote[4051].end 25645.40721875
transcript.pyannote[4052].speaker SPEAKER_37
transcript.pyannote[4052].start 25645.40721875
transcript.pyannote[4052].end 25660.05471875
transcript.pyannote[4053].speaker SPEAKER_37
transcript.pyannote[4053].start 25660.61159375
transcript.pyannote[4053].end 25663.96971875
transcript.pyannote[4054].speaker SPEAKER_14
transcript.pyannote[4054].start 25663.96971875
transcript.pyannote[4054].end 25665.28596875
transcript.pyannote[4055].speaker SPEAKER_14
transcript.pyannote[4055].start 25665.94409375
transcript.pyannote[4055].end 25675.98471875
transcript.pyannote[4056].speaker SPEAKER_14
transcript.pyannote[4056].start 25676.77784375
transcript.pyannote[4056].end 25677.16596875
transcript.pyannote[4057].speaker SPEAKER_14
transcript.pyannote[4057].start 25677.50346875
transcript.pyannote[4057].end 25679.25846875
transcript.pyannote[4058].speaker SPEAKER_14
transcript.pyannote[4058].start 25680.47346875
transcript.pyannote[4058].end 25684.03409375
transcript.pyannote[4059].speaker SPEAKER_14
transcript.pyannote[4059].start 25684.70909375
transcript.pyannote[4059].end 25686.78471875
transcript.pyannote[4060].speaker SPEAKER_14
transcript.pyannote[4060].start 25687.66221875
transcript.pyannote[4060].end 25688.20221875
transcript.pyannote[4061].speaker SPEAKER_14
transcript.pyannote[4061].start 25689.45096875
transcript.pyannote[4061].end 25691.64471875
transcript.pyannote[4062].speaker SPEAKER_14
transcript.pyannote[4062].start 25694.53034375
transcript.pyannote[4062].end 25695.71159375
transcript.pyannote[4063].speaker SPEAKER_14
transcript.pyannote[4063].start 25696.52159375
transcript.pyannote[4063].end 25698.12471875
transcript.pyannote[4064].speaker SPEAKER_14
transcript.pyannote[4064].start 25698.31034375
transcript.pyannote[4064].end 25701.61784375
transcript.pyannote[4065].speaker SPEAKER_14
transcript.pyannote[4065].start 25703.03534375
transcript.pyannote[4065].end 25703.52471875
transcript.pyannote[4066].speaker SPEAKER_14
transcript.pyannote[4066].start 25703.91284375
transcript.pyannote[4066].end 25704.73971875
transcript.pyannote[4067].speaker SPEAKER_14
transcript.pyannote[4067].start 25705.41471875
transcript.pyannote[4067].end 25706.71409375
transcript.pyannote[4068].speaker SPEAKER_30
transcript.pyannote[4068].start 25706.71409375
transcript.pyannote[4068].end 25706.74784375
transcript.pyannote[4069].speaker SPEAKER_30
transcript.pyannote[4069].start 25706.83221875
transcript.pyannote[4069].end 25707.59159375
transcript.pyannote[4070].speaker SPEAKER_30
transcript.pyannote[4070].start 25707.79409375
transcript.pyannote[4070].end 25707.81096875
transcript.pyannote[4071].speaker SPEAKER_14
transcript.pyannote[4071].start 25707.81096875
transcript.pyannote[4071].end 25708.14846875
transcript.pyannote[4072].speaker SPEAKER_30
transcript.pyannote[4072].start 25708.14846875
transcript.pyannote[4072].end 25709.16096875
transcript.pyannote[4073].speaker SPEAKER_14
transcript.pyannote[4073].start 25709.16096875
transcript.pyannote[4073].end 25713.86909375
transcript.pyannote[4074].speaker SPEAKER_30
transcript.pyannote[4074].start 25709.17784375
transcript.pyannote[4074].end 25709.46471875
transcript.pyannote[4075].speaker SPEAKER_14
transcript.pyannote[4075].start 25714.30784375
transcript.pyannote[4075].end 25715.86034375
transcript.pyannote[4076].speaker SPEAKER_14
transcript.pyannote[4076].start 25716.56909375
transcript.pyannote[4076].end 25717.88534375
transcript.pyannote[4077].speaker SPEAKER_14
transcript.pyannote[4077].start 25718.61096875
transcript.pyannote[4077].end 25718.94846875
transcript.pyannote[4078].speaker SPEAKER_14
transcript.pyannote[4078].start 25719.15096875
transcript.pyannote[4078].end 25720.24784375
transcript.pyannote[4079].speaker SPEAKER_14
transcript.pyannote[4079].start 25720.82159375
transcript.pyannote[4079].end 25722.37409375
transcript.pyannote[4080].speaker SPEAKER_14
transcript.pyannote[4080].start 25723.23471875
transcript.pyannote[4080].end 25724.77034375
transcript.pyannote[4081].speaker SPEAKER_14
transcript.pyannote[4081].start 25725.64784375
transcript.pyannote[4081].end 25728.51659375
transcript.pyannote[4082].speaker SPEAKER_14
transcript.pyannote[4082].start 25731.60471875
transcript.pyannote[4082].end 25731.89159375
transcript.pyannote[4083].speaker SPEAKER_14
transcript.pyannote[4083].start 25733.74784375
transcript.pyannote[4083].end 25736.12721875
transcript.pyannote[4084].speaker SPEAKER_35
transcript.pyannote[4084].start 25734.82784375
transcript.pyannote[4084].end 25739.38409375
transcript.pyannote[4085].speaker SPEAKER_35
transcript.pyannote[4085].start 25739.82284375
transcript.pyannote[4085].end 25739.85659375
transcript.pyannote[4086].speaker SPEAKER_14
transcript.pyannote[4086].start 25739.85659375
transcript.pyannote[4086].end 25742.16846875
transcript.pyannote[4087].speaker SPEAKER_35
transcript.pyannote[4087].start 25739.89034375
transcript.pyannote[4087].end 25739.90721875
transcript.pyannote[4088].speaker SPEAKER_35
transcript.pyannote[4088].start 25739.94096875
transcript.pyannote[4088].end 25740.12659375
transcript.pyannote[4089].speaker SPEAKER_14
transcript.pyannote[4089].start 25744.86846875
transcript.pyannote[4089].end 25749.82971875
transcript.pyannote[4090].speaker SPEAKER_30
transcript.pyannote[4090].start 25748.54721875
transcript.pyannote[4090].end 25748.56409375
transcript.pyannote[4091].speaker SPEAKER_30
transcript.pyannote[4091].start 25749.91409375
transcript.pyannote[4091].end 25750.36971875
transcript.pyannote[4092].speaker SPEAKER_30
transcript.pyannote[4092].start 25751.26409375
transcript.pyannote[4092].end 25751.28096875
transcript.pyannote[4093].speaker SPEAKER_14
transcript.pyannote[4093].start 25751.28096875
transcript.pyannote[4093].end 25751.63534375
transcript.pyannote[4094].speaker SPEAKER_30
transcript.pyannote[4094].start 25751.63534375
transcript.pyannote[4094].end 25752.52971875
transcript.pyannote[4095].speaker SPEAKER_14
transcript.pyannote[4095].start 25752.22596875
transcript.pyannote[4095].end 25755.87096875
transcript.pyannote[4096].speaker SPEAKER_30
transcript.pyannote[4096].start 25755.87096875
transcript.pyannote[4096].end 25756.78221875
transcript.pyannote[4097].speaker SPEAKER_14
transcript.pyannote[4097].start 25756.15784375
transcript.pyannote[4097].end 25763.39721875
transcript.pyannote[4098].speaker SPEAKER_30
transcript.pyannote[4098].start 25759.58346875
transcript.pyannote[4098].end 25759.61721875
transcript.pyannote[4099].speaker SPEAKER_29
transcript.pyannote[4099].start 25759.61721875
transcript.pyannote[4099].end 25759.70159375
transcript.pyannote[4100].speaker SPEAKER_30
transcript.pyannote[4100].start 25759.70159375
transcript.pyannote[4100].end 25759.88721875
transcript.pyannote[4101].speaker SPEAKER_14
transcript.pyannote[4101].start 25765.25346875
transcript.pyannote[4101].end 25772.37471875
transcript.pyannote[4102].speaker SPEAKER_31
transcript.pyannote[4102].start 25774.46721875
transcript.pyannote[4102].end 25778.33159375
transcript.pyannote[4103].speaker SPEAKER_31
transcript.pyannote[4103].start 25778.98971875
transcript.pyannote[4103].end 25781.13284375
transcript.pyannote[4104].speaker SPEAKER_31
transcript.pyannote[4104].start 25781.68971875
transcript.pyannote[4104].end 25783.30971875
transcript.pyannote[4105].speaker SPEAKER_31
transcript.pyannote[4105].start 25784.54159375
transcript.pyannote[4105].end 25787.32596875
transcript.pyannote[4106].speaker SPEAKER_31
transcript.pyannote[4106].start 25787.88284375
transcript.pyannote[4106].end 25789.01346875
transcript.pyannote[4107].speaker SPEAKER_31
transcript.pyannote[4107].start 25789.57034375
transcript.pyannote[4107].end 25790.17784375
transcript.pyannote[4108].speaker SPEAKER_31
transcript.pyannote[4108].start 25790.78534375
transcript.pyannote[4108].end 25791.44346875
transcript.pyannote[4109].speaker SPEAKER_31
transcript.pyannote[4109].start 25792.89471875
transcript.pyannote[4109].end 25794.07596875
transcript.pyannote[4110].speaker SPEAKER_31
transcript.pyannote[4110].start 25794.34596875
transcript.pyannote[4110].end 25797.04596875
transcript.pyannote[4111].speaker SPEAKER_31
transcript.pyannote[4111].start 25797.41721875
transcript.pyannote[4111].end 25798.22721875
transcript.pyannote[4112].speaker SPEAKER_31
transcript.pyannote[4112].start 25798.48034375
transcript.pyannote[4112].end 25800.11721875
transcript.pyannote[4113].speaker SPEAKER_31
transcript.pyannote[4113].start 25800.48846875
transcript.pyannote[4113].end 25802.53034375
transcript.pyannote[4114].speaker SPEAKER_31
transcript.pyannote[4114].start 25805.19659375
transcript.pyannote[4114].end 25805.87159375
transcript.pyannote[4115].speaker SPEAKER_31
transcript.pyannote[4115].start 25806.36096875
transcript.pyannote[4115].end 25807.77846875
transcript.pyannote[4116].speaker SPEAKER_31
transcript.pyannote[4116].start 25808.47034375
transcript.pyannote[4116].end 25809.11159375
transcript.pyannote[4117].speaker SPEAKER_31
transcript.pyannote[4117].start 25809.71909375
transcript.pyannote[4117].end 25810.83284375
transcript.pyannote[4118].speaker SPEAKER_31
transcript.pyannote[4118].start 25811.25471875
transcript.pyannote[4118].end 25813.21221875
transcript.pyannote[4119].speaker SPEAKER_31
transcript.pyannote[4119].start 25814.24159375
transcript.pyannote[4119].end 25815.86159375
transcript.pyannote[4120].speaker SPEAKER_31
transcript.pyannote[4120].start 25816.48596875
transcript.pyannote[4120].end 25819.45596875
transcript.pyannote[4121].speaker SPEAKER_31
transcript.pyannote[4121].start 25819.82721875
transcript.pyannote[4121].end 25820.78909375
transcript.pyannote[4122].speaker SPEAKER_31
transcript.pyannote[4122].start 25821.61596875
transcript.pyannote[4122].end 25823.57346875
transcript.pyannote[4123].speaker SPEAKER_31
transcript.pyannote[4123].start 25825.29471875
transcript.pyannote[4123].end 25827.62346875
transcript.pyannote[4124].speaker SPEAKER_31
transcript.pyannote[4124].start 25828.61909375
transcript.pyannote[4124].end 25830.00284375
transcript.pyannote[4125].speaker SPEAKER_31
transcript.pyannote[4125].start 25830.20534375
transcript.pyannote[4125].end 25832.12909375
transcript.pyannote[4126].speaker SPEAKER_31
transcript.pyannote[4126].start 25832.82096875
transcript.pyannote[4126].end 25835.48721875
transcript.pyannote[4127].speaker SPEAKER_31
transcript.pyannote[4127].start 25836.22971875
transcript.pyannote[4127].end 25838.37284375
transcript.pyannote[4128].speaker SPEAKER_31
transcript.pyannote[4128].start 25838.57534375
transcript.pyannote[4128].end 25843.94159375
transcript.pyannote[4129].speaker SPEAKER_31
transcript.pyannote[4129].start 25845.47721875
transcript.pyannote[4129].end 25846.27034375
transcript.pyannote[4130].speaker SPEAKER_31
transcript.pyannote[4130].start 25846.74284375
transcript.pyannote[4130].end 25847.77221875
transcript.pyannote[4131].speaker SPEAKER_31
transcript.pyannote[4131].start 25849.47659375
transcript.pyannote[4131].end 25853.10471875
transcript.pyannote[4132].speaker SPEAKER_31
transcript.pyannote[4132].start 25854.85971875
transcript.pyannote[4132].end 25858.48784375
transcript.pyannote[4133].speaker SPEAKER_31
transcript.pyannote[4133].start 25859.06159375
transcript.pyannote[4133].end 25861.74471875
transcript.pyannote[4134].speaker SPEAKER_31
transcript.pyannote[4134].start 25862.33534375
transcript.pyannote[4134].end 25864.74846875
transcript.pyannote[4135].speaker SPEAKER_31
transcript.pyannote[4135].start 25865.99721875
transcript.pyannote[4135].end 25867.75221875
transcript.pyannote[4136].speaker SPEAKER_31
transcript.pyannote[4136].start 25868.25846875
transcript.pyannote[4136].end 25870.04721875
transcript.pyannote[4137].speaker SPEAKER_31
transcript.pyannote[4137].start 25870.63784375
transcript.pyannote[4137].end 25871.44784375
transcript.pyannote[4138].speaker SPEAKER_31
transcript.pyannote[4138].start 25871.88659375
transcript.pyannote[4138].end 25872.27471875
transcript.pyannote[4139].speaker SPEAKER_31
transcript.pyannote[4139].start 25873.43909375
transcript.pyannote[4139].end 25873.94534375
transcript.pyannote[4140].speaker SPEAKER_31
transcript.pyannote[4140].start 25874.35034375
transcript.pyannote[4140].end 25875.12659375
transcript.pyannote[4141].speaker SPEAKER_31
transcript.pyannote[4141].start 25875.97034375
transcript.pyannote[4141].end 25881.80909375
transcript.pyannote[4142].speaker SPEAKER_31
transcript.pyannote[4142].start 25884.57659375
transcript.pyannote[4142].end 25889.11596875
transcript.pyannote[4143].speaker SPEAKER_31
transcript.pyannote[4143].start 25889.48721875
transcript.pyannote[4143].end 25890.93846875
transcript.pyannote[4144].speaker SPEAKER_31
transcript.pyannote[4144].start 25891.19159375
transcript.pyannote[4144].end 25894.75221875
transcript.pyannote[4145].speaker SPEAKER_31
transcript.pyannote[4145].start 25895.30909375
transcript.pyannote[4145].end 25898.61659375
transcript.pyannote[4146].speaker SPEAKER_31
transcript.pyannote[4146].start 25899.94971875
transcript.pyannote[4146].end 25901.83971875
transcript.pyannote[4147].speaker SPEAKER_31
transcript.pyannote[4147].start 25901.94096875
transcript.pyannote[4147].end 25902.61596875
transcript.pyannote[4148].speaker SPEAKER_31
transcript.pyannote[4148].start 25903.13909375
transcript.pyannote[4148].end 25906.10909375
transcript.pyannote[4149].speaker SPEAKER_31
transcript.pyannote[4149].start 25906.75034375
transcript.pyannote[4149].end 25907.93159375
transcript.pyannote[4150].speaker SPEAKER_31
transcript.pyannote[4150].start 25908.23534375
transcript.pyannote[4150].end 25912.21784375
transcript.pyannote[4151].speaker SPEAKER_31
transcript.pyannote[4151].start 25913.28096875
transcript.pyannote[4151].end 25913.29784375
transcript.pyannote[4152].speaker SPEAKER_14
transcript.pyannote[4152].start 25913.29784375
transcript.pyannote[4152].end 25925.19471875
transcript.pyannote[4153].speaker SPEAKER_24
transcript.pyannote[4153].start 25925.29596875
transcript.pyannote[4153].end 25925.36346875
transcript.pyannote[4154].speaker SPEAKER_14
transcript.pyannote[4154].start 25925.36346875
transcript.pyannote[4154].end 25926.66284375
transcript.pyannote[4155].speaker SPEAKER_24
transcript.pyannote[4155].start 25926.66284375
transcript.pyannote[4155].end 25927.96221875
transcript.pyannote[4156].speaker SPEAKER_14
transcript.pyannote[4156].start 25926.69659375
transcript.pyannote[4156].end 25927.59096875
transcript.pyannote[4157].speaker SPEAKER_14
transcript.pyannote[4157].start 25927.96221875
transcript.pyannote[4157].end 25931.55659375
transcript.pyannote[4158].speaker SPEAKER_24
transcript.pyannote[4158].start 25929.43034375
transcript.pyannote[4158].end 25929.46409375
transcript.pyannote[4159].speaker SPEAKER_24
transcript.pyannote[4159].start 25929.75096875
transcript.pyannote[4159].end 25929.76784375
transcript.pyannote[4160].speaker SPEAKER_27
transcript.pyannote[4160].start 25930.99971875
transcript.pyannote[4160].end 25932.83909375
transcript.pyannote[4161].speaker SPEAKER_27
transcript.pyannote[4161].start 25933.21034375
transcript.pyannote[4161].end 25939.52159375
transcript.pyannote[4162].speaker SPEAKER_27
transcript.pyannote[4162].start 25940.43284375
transcript.pyannote[4162].end 25940.56784375
transcript.pyannote[4163].speaker SPEAKER_30
transcript.pyannote[4163].start 25940.56784375
transcript.pyannote[4163].end 25940.80409375
transcript.pyannote[4164].speaker SPEAKER_27
transcript.pyannote[4164].start 25940.80409375
transcript.pyannote[4164].end 25943.87534375
transcript.pyannote[4165].speaker SPEAKER_14
transcript.pyannote[4165].start 25942.60971875
transcript.pyannote[4165].end 25942.91346875
transcript.pyannote[4166].speaker SPEAKER_14
transcript.pyannote[4166].start 25943.08221875
transcript.pyannote[4166].end 25943.74034375
transcript.pyannote[4167].speaker SPEAKER_14
transcript.pyannote[4167].start 25943.87534375
transcript.pyannote[4167].end 25959.90659375
transcript.pyannote[4168].speaker SPEAKER_27
transcript.pyannote[4168].start 25946.28846875
transcript.pyannote[4168].end 25946.92971875
transcript.pyannote[4169].speaker SPEAKER_29
transcript.pyannote[4169].start 25952.66721875
transcript.pyannote[4169].end 25953.22409375
transcript.pyannote[4170].speaker SPEAKER_14
transcript.pyannote[4170].start 25961.88096875
transcript.pyannote[4170].end 25967.33159375
transcript.pyannote[4171].speaker SPEAKER_14
transcript.pyannote[4171].start 25969.12034375
transcript.pyannote[4171].end 25970.03159375
transcript.pyannote[4172].speaker SPEAKER_24
transcript.pyannote[4172].start 25970.03159375
transcript.pyannote[4172].end 25973.89596875
transcript.pyannote[4173].speaker SPEAKER_33
transcript.pyannote[4173].start 25974.08159375
transcript.pyannote[4173].end 25977.18659375
transcript.pyannote[4174].speaker SPEAKER_33
transcript.pyannote[4174].start 25978.01346875
transcript.pyannote[4174].end 25978.03034375
transcript.pyannote[4175].speaker SPEAKER_33
transcript.pyannote[4175].start 25978.04721875
transcript.pyannote[4175].end 25978.45221875
transcript.pyannote[4176].speaker SPEAKER_33
transcript.pyannote[4176].start 25979.49846875
transcript.pyannote[4176].end 25981.43909375
transcript.pyannote[4177].speaker SPEAKER_24
transcript.pyannote[4177].start 25979.59971875
transcript.pyannote[4177].end 25980.03846875
transcript.pyannote[4178].speaker SPEAKER_14
transcript.pyannote[4178].start 25980.03846875
transcript.pyannote[4178].end 25980.49409375
transcript.pyannote[4179].speaker SPEAKER_37
transcript.pyannote[4179].start 25980.49409375
transcript.pyannote[4179].end 25983.19409375
transcript.pyannote[4180].speaker SPEAKER_14
transcript.pyannote[4180].start 25981.43909375
transcript.pyannote[4180].end 25981.62471875
transcript.pyannote[4181].speaker SPEAKER_33
transcript.pyannote[4181].start 25981.62471875
transcript.pyannote[4181].end 25981.67534375
transcript.pyannote[4182].speaker SPEAKER_14
transcript.pyannote[4182].start 25981.67534375
transcript.pyannote[4182].end 25983.02534375
transcript.pyannote[4183].speaker SPEAKER_30
transcript.pyannote[4183].start 25983.19409375
transcript.pyannote[4183].end 25983.22784375
transcript.pyannote[4184].speaker SPEAKER_14
transcript.pyannote[4184].start 25983.34596875
transcript.pyannote[4184].end 25983.43034375
transcript.pyannote[4185].speaker SPEAKER_37
transcript.pyannote[4185].start 25983.43034375
transcript.pyannote[4185].end 25983.44721875
transcript.pyannote[4186].speaker SPEAKER_37
transcript.pyannote[4186].start 25983.64971875
transcript.pyannote[4186].end 25984.32471875
transcript.pyannote[4187].speaker SPEAKER_37
transcript.pyannote[4187].start 25985.77596875
transcript.pyannote[4187].end 25988.39159375
transcript.pyannote[4188].speaker SPEAKER_14
transcript.pyannote[4188].start 25986.28221875
transcript.pyannote[4188].end 25990.65284375
transcript.pyannote[4189].speaker SPEAKER_31
transcript.pyannote[4189].start 25993.52159375
transcript.pyannote[4189].end 25994.93909375
transcript.pyannote[4190].speaker SPEAKER_14
transcript.pyannote[4190].start 25994.93909375
transcript.pyannote[4190].end 26013.85596875
transcript.pyannote[4191].speaker SPEAKER_31
transcript.pyannote[4191].start 26001.87471875
transcript.pyannote[4191].end 26001.90846875
transcript.pyannote[4192].speaker SPEAKER_37
transcript.pyannote[4192].start 26007.44346875
transcript.pyannote[4192].end 26007.52784375
transcript.pyannote[4193].speaker SPEAKER_16
transcript.pyannote[4193].start 26011.54409375
transcript.pyannote[4193].end 26012.15159375
transcript.pyannote[4194].speaker SPEAKER_16
transcript.pyannote[4194].start 26012.79284375
transcript.pyannote[4194].end 26013.83909375
transcript.pyannote[4195].speaker SPEAKER_16
transcript.pyannote[4195].start 26013.85596875
transcript.pyannote[4195].end 26015.91471875
transcript.pyannote[4196].speaker SPEAKER_14
transcript.pyannote[4196].start 26015.91471875
transcript.pyannote[4196].end 26017.77096875
transcript.pyannote[4197].speaker SPEAKER_16
transcript.pyannote[4197].start 26015.94846875
transcript.pyannote[4197].end 26015.96534375
transcript.pyannote[4198].speaker SPEAKER_16
transcript.pyannote[4198].start 26015.99909375
transcript.pyannote[4198].end 26016.06659375
transcript.pyannote[4199].speaker SPEAKER_16
transcript.pyannote[4199].start 26016.57284375
transcript.pyannote[4199].end 26016.58971875
transcript.pyannote[4200].speaker SPEAKER_16
transcript.pyannote[4200].start 26016.69096875
transcript.pyannote[4200].end 26017.41659375
transcript.pyannote[4201].speaker SPEAKER_16
transcript.pyannote[4201].start 26017.66971875
transcript.pyannote[4201].end 26017.75409375
transcript.pyannote[4202].speaker SPEAKER_16
transcript.pyannote[4202].start 26017.77096875
transcript.pyannote[4202].end 26018.61471875
transcript.pyannote[4203].speaker SPEAKER_16
transcript.pyannote[4203].start 26018.71596875
transcript.pyannote[4203].end 26018.78346875
transcript.pyannote[4204].speaker SPEAKER_14
transcript.pyannote[4204].start 26018.83409375
transcript.pyannote[4204].end 26019.17159375
transcript.pyannote[4205].speaker SPEAKER_14
transcript.pyannote[4205].start 26019.86346875
transcript.pyannote[4205].end 26021.14596875
transcript.pyannote[4206].speaker SPEAKER_14
transcript.pyannote[4206].start 26021.38221875
transcript.pyannote[4206].end 26031.16971875
transcript.pyannote[4207].speaker SPEAKER_14
transcript.pyannote[4207].start 26031.92909375
transcript.pyannote[4207].end 26034.29159375
transcript.pyannote[4208].speaker SPEAKER_14
transcript.pyannote[4208].start 26035.74284375
transcript.pyannote[4208].end 26075.63534375
transcript.pyannote[4209].speaker SPEAKER_14
transcript.pyannote[4209].start 26076.68159375
transcript.pyannote[4209].end 26080.20846875
transcript.pyannote[4210].speaker SPEAKER_14
transcript.pyannote[4210].start 26080.59659375
transcript.pyannote[4210].end 26084.47784375
transcript.pyannote[4211].speaker SPEAKER_13
transcript.pyannote[4211].start 26084.66346875
transcript.pyannote[4211].end 26112.38909375
transcript.pyannote[4212].speaker SPEAKER_13
transcript.pyannote[4212].start 26112.87846875
transcript.pyannote[4212].end 26115.30846875
transcript.pyannote[4213].speaker SPEAKER_13
transcript.pyannote[4213].start 26115.96659375
transcript.pyannote[4213].end 26117.75534375
transcript.pyannote[4214].speaker SPEAKER_13
transcript.pyannote[4214].start 26118.46409375
transcript.pyannote[4214].end 26118.81846875
transcript.pyannote[4215].speaker SPEAKER_13
transcript.pyannote[4215].start 26119.18971875
transcript.pyannote[4215].end 26134.79909375
transcript.pyannote[4216].speaker SPEAKER_13
transcript.pyannote[4216].start 26135.44034375
transcript.pyannote[4216].end 26139.06846875
transcript.pyannote[4217].speaker SPEAKER_13
transcript.pyannote[4217].start 26139.49034375
transcript.pyannote[4217].end 26142.79784375
transcript.pyannote[4218].speaker SPEAKER_13
transcript.pyannote[4218].start 26143.79346875
transcript.pyannote[4218].end 26146.49346875
transcript.pyannote[4219].speaker SPEAKER_13
transcript.pyannote[4219].start 26146.76346875
transcript.pyannote[4219].end 26147.52284375
transcript.pyannote[4220].speaker SPEAKER_14
transcript.pyannote[4220].start 26148.92346875
transcript.pyannote[4220].end 26151.52221875
transcript.pyannote[4221].speaker SPEAKER_04
transcript.pyannote[4221].start 26152.66971875
transcript.pyannote[4221].end 26153.26034375
transcript.pyannote[4222].speaker SPEAKER_04
transcript.pyannote[4222].start 26153.85096875
transcript.pyannote[4222].end 26154.13784375
transcript.pyannote[4223].speaker SPEAKER_29
transcript.pyannote[4223].start 26154.13784375
transcript.pyannote[4223].end 26154.17159375
transcript.pyannote[4224].speaker SPEAKER_04
transcript.pyannote[4224].start 26154.17159375
transcript.pyannote[4224].end 26154.25596875
transcript.pyannote[4225].speaker SPEAKER_29
transcript.pyannote[4225].start 26154.25596875
transcript.pyannote[4225].end 26154.71159375
transcript.pyannote[4226].speaker SPEAKER_04
transcript.pyannote[4226].start 26154.71159375
transcript.pyannote[4226].end 26154.94784375
transcript.pyannote[4227].speaker SPEAKER_29
transcript.pyannote[4227].start 26154.94784375
transcript.pyannote[4227].end 26155.38659375
transcript.pyannote[4228].speaker SPEAKER_29
transcript.pyannote[4228].start 26155.85909375
transcript.pyannote[4228].end 26157.52971875
transcript.pyannote[4229].speaker SPEAKER_29
transcript.pyannote[4229].start 26157.76596875
transcript.pyannote[4229].end 26158.25534375
transcript.pyannote[4230].speaker SPEAKER_14
transcript.pyannote[4230].start 26162.60909375
transcript.pyannote[4230].end 26162.64284375
transcript.pyannote[4231].speaker SPEAKER_01
transcript.pyannote[4231].start 26162.64284375
transcript.pyannote[4231].end 26162.65971875
transcript.pyannote[4232].speaker SPEAKER_14
transcript.pyannote[4232].start 26162.65971875
transcript.pyannote[4232].end 26164.56659375
transcript.pyannote[4233].speaker SPEAKER_01
transcript.pyannote[4233].start 26164.56659375
transcript.pyannote[4233].end 26164.61721875
transcript.pyannote[4234].speaker SPEAKER_14
transcript.pyannote[4234].start 26164.61721875
transcript.pyannote[4234].end 26164.68471875
transcript.pyannote[4235].speaker SPEAKER_01
transcript.pyannote[4235].start 26165.39346875
transcript.pyannote[4235].end 26166.30471875
transcript.pyannote[4236].speaker SPEAKER_01
transcript.pyannote[4236].start 26166.84471875
transcript.pyannote[4236].end 26171.60346875
transcript.pyannote[4237].speaker SPEAKER_01
transcript.pyannote[4237].start 26172.26159375
transcript.pyannote[4237].end 26173.22346875
transcript.pyannote[4238].speaker SPEAKER_01
transcript.pyannote[4238].start 26173.47659375
transcript.pyannote[4238].end 26175.46784375
transcript.pyannote[4239].speaker SPEAKER_01
transcript.pyannote[4239].start 26176.00784375
transcript.pyannote[4239].end 26180.49659375
transcript.pyannote[4240].speaker SPEAKER_01
transcript.pyannote[4240].start 26181.12096875
transcript.pyannote[4240].end 26181.64409375
transcript.pyannote[4241].speaker SPEAKER_01
transcript.pyannote[4241].start 26182.03221875
transcript.pyannote[4241].end 26184.37784375
transcript.pyannote[4242].speaker SPEAKER_01
transcript.pyannote[4242].start 26184.95159375
transcript.pyannote[4242].end 26188.46159375
transcript.pyannote[4243].speaker SPEAKER_01
transcript.pyannote[4243].start 26188.88346875
transcript.pyannote[4243].end 26190.63846875
transcript.pyannote[4244].speaker SPEAKER_01
transcript.pyannote[4244].start 26190.89159375
transcript.pyannote[4244].end 26191.85346875
transcript.pyannote[4245].speaker SPEAKER_01
transcript.pyannote[4245].start 26192.07284375
transcript.pyannote[4245].end 26192.22471875
transcript.pyannote[4246].speaker SPEAKER_01
transcript.pyannote[4246].start 26192.49471875
transcript.pyannote[4246].end 26193.67596875
transcript.pyannote[4247].speaker SPEAKER_01
transcript.pyannote[4247].start 26194.09784375
transcript.pyannote[4247].end 26203.81784375
transcript.pyannote[4248].speaker SPEAKER_01
transcript.pyannote[4248].start 26204.03721875
transcript.pyannote[4248].end 26208.74534375
transcript.pyannote[4249].speaker SPEAKER_01
transcript.pyannote[4249].start 26209.21784375
transcript.pyannote[4249].end 26210.41596875
transcript.pyannote[4250].speaker SPEAKER_01
transcript.pyannote[4250].start 26210.78721875
transcript.pyannote[4250].end 26213.94284375
transcript.pyannote[4251].speaker SPEAKER_01
transcript.pyannote[4251].start 26214.04409375
transcript.pyannote[4251].end 26217.26721875
transcript.pyannote[4252].speaker SPEAKER_01
transcript.pyannote[4252].start 26217.52034375
transcript.pyannote[4252].end 26222.41409375
transcript.pyannote[4253].speaker SPEAKER_13
transcript.pyannote[4253].start 26222.66721875
transcript.pyannote[4253].end 26228.72534375
transcript.pyannote[4254].speaker SPEAKER_13
transcript.pyannote[4254].start 26229.43409375
transcript.pyannote[4254].end 26235.98159375
transcript.pyannote[4255].speaker SPEAKER_13
transcript.pyannote[4255].start 26236.31909375
transcript.pyannote[4255].end 26245.93784375
transcript.pyannote[4256].speaker SPEAKER_01
transcript.pyannote[4256].start 26246.83221875
transcript.pyannote[4256].end 26246.86596875
transcript.pyannote[4257].speaker SPEAKER_13
transcript.pyannote[4257].start 26246.86596875
transcript.pyannote[4257].end 26246.89971875
transcript.pyannote[4258].speaker SPEAKER_01
transcript.pyannote[4258].start 26246.89971875
transcript.pyannote[4258].end 26247.64221875
transcript.pyannote[4259].speaker SPEAKER_13
transcript.pyannote[4259].start 26247.64221875
transcript.pyannote[4259].end 26256.75471875
transcript.pyannote[4260].speaker SPEAKER_13
transcript.pyannote[4260].start 26257.66596875
transcript.pyannote[4260].end 26262.64409375
transcript.pyannote[4261].speaker SPEAKER_01
transcript.pyannote[4261].start 26262.64409375
transcript.pyannote[4261].end 26263.58909375
transcript.pyannote[4262].speaker SPEAKER_13
transcript.pyannote[4262].start 26263.11659375
transcript.pyannote[4262].end 26263.42034375
transcript.pyannote[4263].speaker SPEAKER_13
transcript.pyannote[4263].start 26263.58909375
transcript.pyannote[4263].end 26263.82534375
transcript.pyannote[4264].speaker SPEAKER_37
transcript.pyannote[4264].start 26268.97221875
transcript.pyannote[4264].end 26269.88346875
transcript.pyannote[4265].speaker SPEAKER_37
transcript.pyannote[4265].start 26269.96784375
transcript.pyannote[4265].end 26270.03534375
transcript.pyannote[4266].speaker SPEAKER_37
transcript.pyannote[4266].start 26270.81159375
transcript.pyannote[4266].end 26272.09409375
transcript.pyannote[4267].speaker SPEAKER_37
transcript.pyannote[4267].start 26272.33034375
transcript.pyannote[4267].end 26274.22034375
transcript.pyannote[4268].speaker SPEAKER_37
transcript.pyannote[4268].start 26274.59159375
transcript.pyannote[4268].end 26274.62534375
transcript.pyannote[4269].speaker SPEAKER_37
transcript.pyannote[4269].start 26274.69284375
transcript.pyannote[4269].end 26275.03034375
transcript.pyannote[4270].speaker SPEAKER_13
transcript.pyannote[4270].start 26279.97471875
transcript.pyannote[4270].end 26290.60596875
transcript.pyannote[4271].speaker SPEAKER_24
transcript.pyannote[4271].start 26293.72784375
transcript.pyannote[4271].end 26296.42784375
transcript.pyannote[4272].speaker SPEAKER_24
transcript.pyannote[4272].start 26296.66409375
transcript.pyannote[4272].end 26298.06471875
transcript.pyannote[4273].speaker SPEAKER_24
transcript.pyannote[4273].start 26298.48659375
transcript.pyannote[4273].end 26300.41034375
transcript.pyannote[4274].speaker SPEAKER_24
transcript.pyannote[4274].start 26301.01784375
transcript.pyannote[4274].end 26301.06846875
transcript.pyannote[4275].speaker SPEAKER_14
transcript.pyannote[4275].start 26301.06846875
transcript.pyannote[4275].end 26301.27096875
transcript.pyannote[4276].speaker SPEAKER_14
transcript.pyannote[4276].start 26304.51096875
transcript.pyannote[4276].end 26305.20284375
transcript.pyannote[4277].speaker SPEAKER_14
transcript.pyannote[4277].start 26306.01284375
transcript.pyannote[4277].end 26313.35346875
transcript.pyannote[4278].speaker SPEAKER_14
transcript.pyannote[4278].start 26314.09596875
transcript.pyannote[4278].end 26314.51784375
transcript.pyannote[4279].speaker SPEAKER_14
transcript.pyannote[4279].start 26315.00721875
transcript.pyannote[4279].end 26317.50471875
transcript.pyannote[4280].speaker SPEAKER_14
transcript.pyannote[4280].start 26318.41596875
transcript.pyannote[4280].end 26318.73659375
transcript.pyannote[4281].speaker SPEAKER_14
transcript.pyannote[4281].start 26321.18346875
transcript.pyannote[4281].end 26336.89409375
transcript.pyannote[4282].speaker SPEAKER_14
transcript.pyannote[4282].start 26337.29909375
transcript.pyannote[4282].end 26339.29034375
transcript.pyannote[4283].speaker SPEAKER_14
transcript.pyannote[4283].start 26339.96534375
transcript.pyannote[4283].end 26340.50534375
transcript.pyannote[4284].speaker SPEAKER_14
transcript.pyannote[4284].start 26340.99471875
transcript.pyannote[4284].end 26341.61909375
transcript.pyannote[4285].speaker SPEAKER_14
transcript.pyannote[4285].start 26343.00284375
transcript.pyannote[4285].end 26348.20034375
transcript.pyannote[4286].speaker SPEAKER_14
transcript.pyannote[4286].start 26348.33534375
transcript.pyannote[4286].end 26361.46409375
transcript.pyannote[4287].speaker SPEAKER_14
transcript.pyannote[4287].start 26362.59471875
transcript.pyannote[4287].end 26362.79721875
transcript.pyannote[4288].speaker SPEAKER_14
transcript.pyannote[4288].start 26364.73784375
transcript.pyannote[4288].end 26365.78409375
transcript.pyannote[4289].speaker SPEAKER_14
transcript.pyannote[4289].start 26366.12159375
transcript.pyannote[4289].end 26366.54346875
transcript.pyannote[4290].speaker SPEAKER_14
transcript.pyannote[4290].start 26367.10034375
transcript.pyannote[4290].end 26368.75409375
transcript.pyannote[4291].speaker SPEAKER_14
transcript.pyannote[4291].start 26369.20971875
transcript.pyannote[4291].end 26372.85471875
transcript.pyannote[4292].speaker SPEAKER_14
transcript.pyannote[4292].start 26374.15409375
transcript.pyannote[4292].end 26390.16846875
transcript.pyannote[4293].speaker SPEAKER_14
transcript.pyannote[4293].start 26391.36659375
transcript.pyannote[4293].end 26396.91846875
transcript.pyannote[4294].speaker SPEAKER_14
transcript.pyannote[4294].start 26397.23909375
transcript.pyannote[4294].end 26405.03534375
transcript.pyannote[4295].speaker SPEAKER_38
transcript.pyannote[4295].start 26416.07159375
transcript.pyannote[4295].end 26417.11784375
transcript.pyannote[4296].speaker SPEAKER_01
transcript.pyannote[4296].start 26426.82096875
transcript.pyannote[4296].end 26427.27659375
transcript.pyannote[4297].speaker SPEAKER_29
transcript.pyannote[4297].start 26428.10346875
transcript.pyannote[4297].end 26428.25534375
transcript.pyannote[4298].speaker SPEAKER_01
transcript.pyannote[4298].start 26428.25534375
transcript.pyannote[4298].end 26430.82034375
transcript.pyannote[4299].speaker SPEAKER_29
transcript.pyannote[4299].start 26428.27221875
transcript.pyannote[4299].end 26428.86284375
transcript.pyannote[4300].speaker SPEAKER_29
transcript.pyannote[4300].start 26428.96409375
transcript.pyannote[4300].end 26429.65596875
transcript.pyannote[4301].speaker SPEAKER_29
transcript.pyannote[4301].start 26429.67284375
transcript.pyannote[4301].end 26429.72346875
transcript.pyannote[4302].speaker SPEAKER_29
transcript.pyannote[4302].start 26430.82034375
transcript.pyannote[4302].end 26435.02221875
transcript.pyannote[4303].speaker SPEAKER_01
transcript.pyannote[4303].start 26430.88784375
transcript.pyannote[4303].end 26430.97221875
transcript.pyannote[4304].speaker SPEAKER_38
transcript.pyannote[4304].start 26430.97221875
transcript.pyannote[4304].end 26439.03846875
transcript.pyannote[4305].speaker SPEAKER_38
transcript.pyannote[4305].start 26440.01721875
transcript.pyannote[4305].end 26440.03409375
transcript.pyannote[4306].speaker SPEAKER_33
transcript.pyannote[4306].start 26454.83346875
transcript.pyannote[4306].end 26455.62659375
transcript.pyannote[4307].speaker SPEAKER_33
transcript.pyannote[4307].start 26456.14971875
transcript.pyannote[4307].end 26457.28034375
transcript.pyannote[4308].speaker SPEAKER_00
transcript.pyannote[4308].start 26456.85846875
transcript.pyannote[4308].end 26457.02721875
transcript.pyannote[4309].speaker SPEAKER_00
transcript.pyannote[4309].start 26457.04409375
transcript.pyannote[4309].end 26457.11159375
transcript.pyannote[4310].speaker SPEAKER_34
transcript.pyannote[4310].start 26486.03534375
transcript.pyannote[4310].end 26486.11971875
transcript.pyannote[4311].speaker SPEAKER_34
transcript.pyannote[4311].start 26486.20409375
transcript.pyannote[4311].end 26486.28846875
transcript.pyannote[4312].speaker SPEAKER_29
transcript.pyannote[4312].start 26506.20096875
transcript.pyannote[4312].end 26506.85909375
transcript.pyannote[4313].speaker SPEAKER_30
transcript.pyannote[4313].start 26507.11221875
transcript.pyannote[4313].end 26507.17971875
transcript.pyannote[4314].speaker SPEAKER_29
transcript.pyannote[4314].start 26507.17971875
transcript.pyannote[4314].end 26507.82096875
transcript.pyannote[4315].speaker SPEAKER_29
transcript.pyannote[4315].start 26507.97284375
transcript.pyannote[4315].end 26509.74471875
transcript.pyannote[4316].speaker SPEAKER_33
transcript.pyannote[4316].start 26515.36409375
transcript.pyannote[4316].end 26516.03909375
transcript.pyannote[4317].speaker SPEAKER_33
transcript.pyannote[4317].start 26516.07284375
transcript.pyannote[4317].end 26518.09784375
transcript.pyannote[4318].speaker SPEAKER_19
transcript.pyannote[4318].start 26542.95471875
transcript.pyannote[4318].end 26544.99659375
transcript.pyannote[4319].speaker SPEAKER_19
transcript.pyannote[4319].start 26545.16534375
transcript.pyannote[4319].end 26545.21596875
transcript.pyannote[4320].speaker SPEAKER_06
transcript.pyannote[4320].start 26545.21596875
transcript.pyannote[4320].end 26548.03409375
transcript.pyannote[4321].speaker SPEAKER_06
transcript.pyannote[4321].start 26549.01284375
transcript.pyannote[4321].end 26549.02971875
transcript.pyannote[4322].speaker SPEAKER_06
transcript.pyannote[4322].start 26549.09721875
transcript.pyannote[4322].end 26550.07596875
transcript.pyannote[4323].speaker SPEAKER_30
transcript.pyannote[4323].start 26549.23221875
transcript.pyannote[4323].end 26549.26596875
transcript.pyannote[4324].speaker SPEAKER_30
transcript.pyannote[4324].start 26549.29971875
transcript.pyannote[4324].end 26549.35034375
transcript.pyannote[4325].speaker SPEAKER_35
transcript.pyannote[4325].start 26549.35034375
transcript.pyannote[4325].end 26549.92409375
transcript.pyannote[4326].speaker SPEAKER_35
transcript.pyannote[4326].start 26549.94096875
transcript.pyannote[4326].end 26549.97471875
transcript.pyannote[4327].speaker SPEAKER_35
transcript.pyannote[4327].start 26550.07596875
transcript.pyannote[4327].end 26550.14346875
transcript.pyannote[4328].speaker SPEAKER_37
transcript.pyannote[4328].start 26550.14346875
transcript.pyannote[4328].end 26550.59909375
transcript.pyannote[4329].speaker SPEAKER_37
transcript.pyannote[4329].start 26552.52284375
transcript.pyannote[4329].end 26552.91096875
transcript.pyannote[4330].speaker SPEAKER_37
transcript.pyannote[4330].start 26554.05846875
transcript.pyannote[4330].end 26554.83471875
transcript.pyannote[4331].speaker SPEAKER_37
transcript.pyannote[4331].start 26556.08346875
transcript.pyannote[4331].end 26557.02846875
transcript.pyannote[4332].speaker SPEAKER_37
transcript.pyannote[4332].start 26557.29846875
transcript.pyannote[4332].end 26558.63159375
transcript.pyannote[4333].speaker SPEAKER_38
transcript.pyannote[4333].start 26558.04096875
transcript.pyannote[4333].end 26561.02784375
transcript.pyannote[4334].speaker SPEAKER_33
transcript.pyannote[4334].start 26568.04784375
transcript.pyannote[4334].end 26568.21659375
transcript.pyannote[4335].speaker SPEAKER_30
transcript.pyannote[4335].start 26568.79034375
transcript.pyannote[4335].end 26569.97159375
transcript.pyannote[4336].speaker SPEAKER_33
transcript.pyannote[4336].start 26569.97159375
transcript.pyannote[4336].end 26569.98846875
transcript.pyannote[4337].speaker SPEAKER_33
transcript.pyannote[4337].start 26570.02221875
transcript.pyannote[4337].end 26570.05596875
transcript.pyannote[4338].speaker SPEAKER_33
transcript.pyannote[4338].start 26570.42721875
transcript.pyannote[4338].end 26571.84471875
transcript.pyannote[4339].speaker SPEAKER_38
transcript.pyannote[4339].start 26579.99534375
transcript.pyannote[4339].end 26580.02909375
transcript.pyannote[4340].speaker SPEAKER_06
transcript.pyannote[4340].start 26582.69534375
transcript.pyannote[4340].end 26582.71221875
transcript.pyannote[4341].speaker SPEAKER_06
transcript.pyannote[4341].start 26582.72909375
transcript.pyannote[4341].end 26583.08346875
transcript.pyannote[4342].speaker SPEAKER_38
transcript.pyannote[4342].start 26583.08346875
transcript.pyannote[4342].end 26583.13409375
transcript.pyannote[4343].speaker SPEAKER_06
transcript.pyannote[4343].start 26583.13409375
transcript.pyannote[4343].end 26583.31971875
transcript.pyannote[4344].speaker SPEAKER_38
transcript.pyannote[4344].start 26583.31971875
transcript.pyannote[4344].end 26583.33659375
transcript.pyannote[4345].speaker SPEAKER_06
transcript.pyannote[4345].start 26583.33659375
transcript.pyannote[4345].end 26583.52221875
transcript.pyannote[4346].speaker SPEAKER_38
transcript.pyannote[4346].start 26584.90596875
transcript.pyannote[4346].end 26585.02409375
transcript.pyannote[4347].speaker SPEAKER_33
transcript.pyannote[4347].start 26585.02409375
transcript.pyannote[4347].end 26586.03659375
transcript.pyannote[4348].speaker SPEAKER_33
transcript.pyannote[4348].start 26591.01471875
transcript.pyannote[4348].end 26591.04846875
transcript.pyannote[4349].speaker SPEAKER_33
transcript.pyannote[4349].start 26592.71909375
transcript.pyannote[4349].end 26594.25471875
transcript.pyannote[4350].speaker SPEAKER_37
transcript.pyannote[4350].start 26594.25471875
transcript.pyannote[4350].end 26594.30534375
transcript.pyannote[4351].speaker SPEAKER_33
transcript.pyannote[4351].start 26594.30534375
transcript.pyannote[4351].end 26594.37284375
transcript.pyannote[4352].speaker SPEAKER_37
transcript.pyannote[4352].start 26594.37284375
transcript.pyannote[4352].end 26594.38971875
transcript.pyannote[4353].speaker SPEAKER_33
transcript.pyannote[4353].start 26594.38971875
transcript.pyannote[4353].end 26594.40659375
transcript.pyannote[4354].speaker SPEAKER_22
transcript.pyannote[4354].start 26606.97846875
transcript.pyannote[4354].end 26607.02909375
transcript.pyannote[4355].speaker SPEAKER_22
transcript.pyannote[4355].start 26607.04596875
transcript.pyannote[4355].end 26607.43409375
transcript.pyannote[4356].speaker SPEAKER_22
transcript.pyannote[4356].start 26612.90159375
transcript.pyannote[4356].end 26612.91846875
transcript.pyannote[4357].speaker SPEAKER_37
transcript.pyannote[4357].start 26612.91846875
transcript.pyannote[4357].end 26612.98596875
transcript.pyannote[4358].speaker SPEAKER_33
transcript.pyannote[4358].start 26612.98596875
transcript.pyannote[4358].end 26613.03659375
transcript.pyannote[4359].speaker SPEAKER_37
transcript.pyannote[4359].start 26613.03659375
transcript.pyannote[4359].end 26613.34034375
transcript.pyannote[4360].speaker SPEAKER_33
transcript.pyannote[4360].start 26613.34034375
transcript.pyannote[4360].end 26613.45846875
transcript.pyannote[4361].speaker SPEAKER_37
transcript.pyannote[4361].start 26613.45846875
transcript.pyannote[4361].end 26615.80409375
transcript.pyannote[4362].speaker SPEAKER_37
transcript.pyannote[4362].start 26615.97284375
transcript.pyannote[4362].end 26616.00659375
transcript.pyannote[4363].speaker SPEAKER_37
transcript.pyannote[4363].start 26616.88409375
transcript.pyannote[4363].end 26622.03096875
transcript.pyannote[4364].speaker SPEAKER_29
transcript.pyannote[4364].start 26622.03096875
transcript.pyannote[4364].end 26623.02659375
transcript.pyannote[4365].speaker SPEAKER_37
transcript.pyannote[4365].start 26623.02659375
transcript.pyannote[4365].end 26623.83659375
transcript.pyannote[4366].speaker SPEAKER_29
transcript.pyannote[4366].start 26623.11096875
transcript.pyannote[4366].end 26623.36409375
transcript.pyannote[4367].speaker SPEAKER_14
transcript.pyannote[4367].start 27479.02784375
transcript.pyannote[4367].end 27481.69409375
transcript.pyannote[4368].speaker SPEAKER_14
transcript.pyannote[4368].start 27481.96409375
transcript.pyannote[4368].end 27486.23346875
transcript.pyannote[4369].speaker SPEAKER_14
transcript.pyannote[4369].start 27486.38534375
transcript.pyannote[4369].end 27500.66159375
transcript.pyannote[4370].speaker SPEAKER_02
transcript.pyannote[4370].start 27500.66159375
transcript.pyannote[4370].end 27500.69534375
transcript.pyannote[4371].speaker SPEAKER_02
transcript.pyannote[4371].start 27501.40409375
transcript.pyannote[4371].end 27505.26846875
transcript.pyannote[4372].speaker SPEAKER_02
transcript.pyannote[4372].start 27506.87159375
transcript.pyannote[4372].end 27509.16659375
transcript.pyannote[4373].speaker SPEAKER_02
transcript.pyannote[4373].start 27509.28471875
transcript.pyannote[4373].end 27513.03096875
transcript.pyannote[4374].speaker SPEAKER_02
transcript.pyannote[4374].start 27513.21659375
transcript.pyannote[4374].end 27514.39784375
transcript.pyannote[4375].speaker SPEAKER_02
transcript.pyannote[4375].start 27515.05596875
transcript.pyannote[4375].end 27516.59159375
transcript.pyannote[4376].speaker SPEAKER_02
transcript.pyannote[4376].start 27516.89534375
transcript.pyannote[4376].end 27520.42221875
transcript.pyannote[4377].speaker SPEAKER_02
transcript.pyannote[4377].start 27520.97909375
transcript.pyannote[4377].end 27527.20596875
transcript.pyannote[4378].speaker SPEAKER_02
transcript.pyannote[4378].start 27529.09596875
transcript.pyannote[4378].end 27533.07846875
transcript.pyannote[4379].speaker SPEAKER_02
transcript.pyannote[4379].start 27533.60159375
transcript.pyannote[4379].end 27541.56659375
transcript.pyannote[4380].speaker SPEAKER_02
transcript.pyannote[4380].start 27541.80284375
transcript.pyannote[4380].end 27543.86159375
transcript.pyannote[4381].speaker SPEAKER_02
transcript.pyannote[4381].start 27543.96284375
transcript.pyannote[4381].end 27547.21971875
transcript.pyannote[4382].speaker SPEAKER_02
transcript.pyannote[4382].start 27547.55721875
transcript.pyannote[4382].end 27552.58596875
transcript.pyannote[4383].speaker SPEAKER_02
transcript.pyannote[4383].start 27552.82221875
transcript.pyannote[4383].end 27559.65659375
transcript.pyannote[4384].speaker SPEAKER_02
transcript.pyannote[4384].start 27563.14971875
transcript.pyannote[4384].end 27564.17909375
transcript.pyannote[4385].speaker SPEAKER_02
transcript.pyannote[4385].start 27568.04346875
transcript.pyannote[4385].end 27568.60034375
transcript.pyannote[4386].speaker SPEAKER_02
transcript.pyannote[4386].start 27569.30909375
transcript.pyannote[4386].end 27578.13471875
transcript.pyannote[4387].speaker SPEAKER_02
transcript.pyannote[4387].start 27580.71659375
transcript.pyannote[4387].end 27587.04471875
transcript.pyannote[4388].speaker SPEAKER_02
transcript.pyannote[4388].start 27587.36534375
transcript.pyannote[4388].end 27588.25971875
transcript.pyannote[4389].speaker SPEAKER_24
transcript.pyannote[4389].start 27590.80784375
transcript.pyannote[4389].end 27594.99284375
transcript.pyannote[4390].speaker SPEAKER_24
transcript.pyannote[4390].start 27595.87034375
transcript.pyannote[4390].end 27597.94596875
transcript.pyannote[4391].speaker SPEAKER_24
transcript.pyannote[4391].start 27599.24534375
transcript.pyannote[4391].end 27600.44346875
transcript.pyannote[4392].speaker SPEAKER_24
transcript.pyannote[4392].start 27601.08471875
transcript.pyannote[4392].end 27605.97846875
transcript.pyannote[4393].speaker SPEAKER_14
transcript.pyannote[4393].start 27605.97846875
transcript.pyannote[4393].end 27608.81346875
transcript.pyannote[4394].speaker SPEAKER_14
transcript.pyannote[4394].start 27609.35346875
transcript.pyannote[4394].end 27615.52971875
transcript.pyannote[4395].speaker SPEAKER_14
transcript.pyannote[4395].start 27616.98096875
transcript.pyannote[4395].end 27619.05659375
transcript.pyannote[4396].speaker SPEAKER_14
transcript.pyannote[4396].start 27619.96784375
transcript.pyannote[4396].end 27619.98471875
transcript.pyannote[4397].speaker SPEAKER_14
transcript.pyannote[4397].start 27622.63409375
transcript.pyannote[4397].end 27633.14721875
transcript.pyannote[4398].speaker SPEAKER_14
transcript.pyannote[4398].start 27633.72096875
transcript.pyannote[4398].end 27648.70596875
transcript.pyannote[4399].speaker SPEAKER_14
transcript.pyannote[4399].start 27649.46534375
transcript.pyannote[4399].end 27653.22846875
transcript.pyannote[4400].speaker SPEAKER_14
transcript.pyannote[4400].start 27653.36346875
transcript.pyannote[4400].end 27656.89034375
transcript.pyannote[4401].speaker SPEAKER_14
transcript.pyannote[4401].start 27657.19409375
transcript.pyannote[4401].end 27672.12846875
transcript.pyannote[4402].speaker SPEAKER_14
transcript.pyannote[4402].start 27672.29721875
transcript.pyannote[4402].end 27679.70534375
transcript.pyannote[4403].speaker SPEAKER_14
transcript.pyannote[4403].start 27681.02159375
transcript.pyannote[4403].end 27681.73034375
transcript.pyannote[4404].speaker SPEAKER_14
transcript.pyannote[4404].start 27682.64159375
transcript.pyannote[4404].end 27694.92659375
transcript.pyannote[4405].speaker SPEAKER_14
transcript.pyannote[4405].start 27695.41596875
transcript.pyannote[4405].end 27701.65971875
transcript.pyannote[4406].speaker SPEAKER_14
transcript.pyannote[4406].start 27702.57096875
transcript.pyannote[4406].end 27708.78096875
transcript.pyannote[4407].speaker SPEAKER_14
transcript.pyannote[4407].start 27710.50221875
transcript.pyannote[4407].end 27711.98721875
transcript.pyannote[4408].speaker SPEAKER_24
transcript.pyannote[4408].start 27711.98721875
transcript.pyannote[4408].end 27712.02096875
transcript.pyannote[4409].speaker SPEAKER_24
transcript.pyannote[4409].start 27712.57784375
transcript.pyannote[4409].end 27714.21471875
transcript.pyannote[4410].speaker SPEAKER_12
transcript.pyannote[4410].start 27717.21846875
transcript.pyannote[4410].end 27722.56784375
transcript.pyannote[4411].speaker SPEAKER_12
transcript.pyannote[4411].start 27722.98971875
transcript.pyannote[4411].end 27732.91221875
transcript.pyannote[4412].speaker SPEAKER_12
transcript.pyannote[4412].start 27733.35096875
transcript.pyannote[4412].end 27740.84346875
transcript.pyannote[4413].speaker SPEAKER_12
transcript.pyannote[4413].start 27741.28221875
transcript.pyannote[4413].end 27751.69409375
transcript.pyannote[4414].speaker SPEAKER_12
transcript.pyannote[4414].start 27752.28471875
transcript.pyannote[4414].end 27756.19971875
transcript.pyannote[4415].speaker SPEAKER_12
transcript.pyannote[4415].start 27757.22909375
transcript.pyannote[4415].end 27758.51159375
transcript.pyannote[4416].speaker SPEAKER_12
transcript.pyannote[4416].start 27758.81534375
transcript.pyannote[4416].end 27759.82784375
transcript.pyannote[4417].speaker SPEAKER_12
transcript.pyannote[4417].start 27760.41846875
transcript.pyannote[4417].end 27766.91534375
transcript.pyannote[4418].speaker SPEAKER_12
transcript.pyannote[4418].start 27767.33721875
transcript.pyannote[4418].end 27777.49596875
transcript.pyannote[4419].speaker SPEAKER_12
transcript.pyannote[4419].start 27778.03596875
transcript.pyannote[4419].end 27791.53596875
transcript.pyannote[4420].speaker SPEAKER_14
transcript.pyannote[4420].start 27792.53159375
transcript.pyannote[4420].end 27797.84721875
transcript.pyannote[4421].speaker SPEAKER_14
transcript.pyannote[4421].start 27798.31971875
transcript.pyannote[4421].end 27807.16221875
transcript.pyannote[4422].speaker SPEAKER_14
transcript.pyannote[4422].start 27808.46159375
transcript.pyannote[4422].end 27810.01409375
transcript.pyannote[4423].speaker SPEAKER_14
transcript.pyannote[4423].start 27813.20346875
transcript.pyannote[4423].end 27821.06721875
transcript.pyannote[4424].speaker SPEAKER_14
transcript.pyannote[4424].start 27821.62409375
transcript.pyannote[4424].end 27836.20409375
transcript.pyannote[4425].speaker SPEAKER_14
transcript.pyannote[4425].start 27839.02221875
transcript.pyannote[4425].end 27840.32159375
transcript.pyannote[4426].speaker SPEAKER_14
transcript.pyannote[4426].start 27842.97096875
transcript.pyannote[4426].end 27844.72596875
transcript.pyannote[4427].speaker SPEAKER_14
transcript.pyannote[4427].start 27845.02971875
transcript.pyannote[4427].end 27846.48096875
transcript.pyannote[4428].speaker SPEAKER_32
transcript.pyannote[4428].start 27849.97409375
transcript.pyannote[4428].end 27897.30846875
transcript.pyannote[4429].speaker SPEAKER_29
transcript.pyannote[4429].start 27896.31284375
transcript.pyannote[4429].end 27896.32971875
transcript.pyannote[4430].speaker SPEAKER_30
transcript.pyannote[4430].start 27896.32971875
transcript.pyannote[4430].end 27896.41409375
transcript.pyannote[4431].speaker SPEAKER_29
transcript.pyannote[4431].start 27896.41409375
transcript.pyannote[4431].end 27896.43096875
transcript.pyannote[4432].speaker SPEAKER_29
transcript.pyannote[4432].start 27896.48159375
transcript.pyannote[4432].end 27896.53221875
transcript.pyannote[4433].speaker SPEAKER_32
transcript.pyannote[4433].start 27897.54471875
transcript.pyannote[4433].end 27900.56534375
transcript.pyannote[4434].speaker SPEAKER_32
transcript.pyannote[4434].start 27900.88596875
transcript.pyannote[4434].end 27908.42909375
transcript.pyannote[4435].speaker SPEAKER_32
transcript.pyannote[4435].start 27908.64846875
transcript.pyannote[4435].end 27909.12096875
transcript.pyannote[4436].speaker SPEAKER_32
transcript.pyannote[4436].start 27909.50909375
transcript.pyannote[4436].end 27918.21659375
transcript.pyannote[4437].speaker SPEAKER_32
transcript.pyannote[4437].start 27918.41909375
transcript.pyannote[4437].end 27918.43596875
transcript.pyannote[4438].speaker SPEAKER_14
transcript.pyannote[4438].start 27918.43596875
transcript.pyannote[4438].end 27919.97159375
transcript.pyannote[4439].speaker SPEAKER_32
transcript.pyannote[4439].start 27919.97159375
transcript.pyannote[4439].end 27920.35971875
transcript.pyannote[4440].speaker SPEAKER_14
transcript.pyannote[4440].start 27920.35971875
transcript.pyannote[4440].end 27920.46096875
transcript.pyannote[4441].speaker SPEAKER_32
transcript.pyannote[4441].start 27920.46096875
transcript.pyannote[4441].end 27927.29534375
transcript.pyannote[4442].speaker SPEAKER_24
transcript.pyannote[4442].start 27923.07659375
transcript.pyannote[4442].end 27923.22846875
transcript.pyannote[4443].speaker SPEAKER_14
transcript.pyannote[4443].start 27924.49409375
transcript.pyannote[4443].end 27925.16909375
transcript.pyannote[4444].speaker SPEAKER_32
transcript.pyannote[4444].start 27927.88596875
transcript.pyannote[4444].end 27934.11284375
transcript.pyannote[4445].speaker SPEAKER_14
transcript.pyannote[4445].start 27930.88971875
transcript.pyannote[4445].end 27932.02034375
transcript.pyannote[4446].speaker SPEAKER_32
transcript.pyannote[4446].start 27934.14659375
transcript.pyannote[4446].end 27956.70846875
transcript.pyannote[4447].speaker SPEAKER_26
transcript.pyannote[4447].start 27935.12534375
transcript.pyannote[4447].end 27935.54721875
transcript.pyannote[4448].speaker SPEAKER_26
transcript.pyannote[4448].start 27936.45846875
transcript.pyannote[4448].end 27936.67784375
transcript.pyannote[4449].speaker SPEAKER_26
transcript.pyannote[4449].start 27940.47471875
transcript.pyannote[4449].end 27940.91346875
transcript.pyannote[4450].speaker SPEAKER_30
transcript.pyannote[4450].start 27956.70846875
transcript.pyannote[4450].end 27957.33284375
transcript.pyannote[4451].speaker SPEAKER_32
transcript.pyannote[4451].start 27956.96159375
transcript.pyannote[4451].end 27971.57534375
transcript.pyannote[4452].speaker SPEAKER_14
transcript.pyannote[4452].start 27972.33471875
transcript.pyannote[4452].end 27974.41034375
transcript.pyannote[4453].speaker SPEAKER_32
transcript.pyannote[4453].start 27974.91659375
transcript.pyannote[4453].end 27977.46471875
transcript.pyannote[4454].speaker SPEAKER_32
transcript.pyannote[4454].start 27978.13971875
transcript.pyannote[4454].end 27987.85971875
transcript.pyannote[4455].speaker SPEAKER_14
transcript.pyannote[4455].start 27978.29159375
transcript.pyannote[4455].end 27978.74721875
transcript.pyannote[4456].speaker SPEAKER_14
transcript.pyannote[4456].start 27983.89409375
transcript.pyannote[4456].end 27985.12596875
transcript.pyannote[4457].speaker SPEAKER_14
transcript.pyannote[4457].start 27987.13409375
transcript.pyannote[4457].end 27987.55596875
transcript.pyannote[4458].speaker SPEAKER_14
transcript.pyannote[4458].start 27987.85971875
transcript.pyannote[4458].end 27989.96909375
transcript.pyannote[4459].speaker SPEAKER_32
transcript.pyannote[4459].start 27989.96909375
transcript.pyannote[4459].end 27992.34846875
transcript.pyannote[4460].speaker SPEAKER_32
transcript.pyannote[4460].start 27992.90534375
transcript.pyannote[4460].end 28001.47784375
transcript.pyannote[4461].speaker SPEAKER_14
transcript.pyannote[4461].start 27993.68159375
transcript.pyannote[4461].end 27993.96846875
transcript.pyannote[4462].speaker SPEAKER_30
transcript.pyannote[4462].start 27993.96846875
transcript.pyannote[4462].end 27994.72784375
transcript.pyannote[4463].speaker SPEAKER_30
transcript.pyannote[4463].start 28001.47784375
transcript.pyannote[4463].end 28001.69721875
transcript.pyannote[4464].speaker SPEAKER_32
transcript.pyannote[4464].start 28001.69721875
transcript.pyannote[4464].end 28023.75284375
transcript.pyannote[4465].speaker SPEAKER_30
transcript.pyannote[4465].start 28001.74784375
transcript.pyannote[4465].end 28001.78159375
transcript.pyannote[4466].speaker SPEAKER_32
transcript.pyannote[4466].start 28025.65971875
transcript.pyannote[4466].end 28029.43971875
transcript.pyannote[4467].speaker SPEAKER_27
transcript.pyannote[4467].start 28025.84534375
transcript.pyannote[4467].end 28039.54784375
transcript.pyannote[4468].speaker SPEAKER_30
transcript.pyannote[4468].start 28029.43971875
transcript.pyannote[4468].end 28029.49034375
transcript.pyannote[4469].speaker SPEAKER_30
transcript.pyannote[4469].start 28029.60846875
transcript.pyannote[4469].end 28029.76034375
transcript.pyannote[4470].speaker SPEAKER_32
transcript.pyannote[4470].start 28029.76034375
transcript.pyannote[4470].end 28029.96284375
transcript.pyannote[4471].speaker SPEAKER_30
transcript.pyannote[4471].start 28029.96284375
transcript.pyannote[4471].end 28030.43534375
transcript.pyannote[4472].speaker SPEAKER_32
transcript.pyannote[4472].start 28030.43534375
transcript.pyannote[4472].end 28030.97534375
transcript.pyannote[4473].speaker SPEAKER_30
transcript.pyannote[4473].start 28030.97534375
transcript.pyannote[4473].end 28031.80221875
transcript.pyannote[4474].speaker SPEAKER_27
transcript.pyannote[4474].start 28039.91909375
transcript.pyannote[4474].end 28041.96096875
transcript.pyannote[4475].speaker SPEAKER_27
transcript.pyannote[4475].start 28042.23096875
transcript.pyannote[4475].end 28042.55159375
transcript.pyannote[4476].speaker SPEAKER_14
transcript.pyannote[4476].start 28043.26034375
transcript.pyannote[4476].end 28048.89659375
transcript.pyannote[4477].speaker SPEAKER_14
transcript.pyannote[4477].start 28049.79096875
transcript.pyannote[4477].end 28057.01346875
transcript.pyannote[4478].speaker SPEAKER_30
transcript.pyannote[4478].start 28057.53659375
transcript.pyannote[4478].end 28057.63784375
transcript.pyannote[4479].speaker SPEAKER_14
transcript.pyannote[4479].start 28063.18971875
transcript.pyannote[4479].end 28067.32409375
transcript.pyannote[4480].speaker SPEAKER_14
transcript.pyannote[4480].start 28067.94846875
transcript.pyannote[4480].end 28068.26909375
transcript.pyannote[4481].speaker SPEAKER_14
transcript.pyannote[4481].start 28068.67409375
transcript.pyannote[4481].end 28070.37846875
transcript.pyannote[4482].speaker SPEAKER_14
transcript.pyannote[4482].start 28070.56409375
transcript.pyannote[4482].end 28073.28096875
transcript.pyannote[4483].speaker SPEAKER_14
transcript.pyannote[4483].start 28073.93909375
transcript.pyannote[4483].end 28075.89659375
transcript.pyannote[4484].speaker SPEAKER_14
transcript.pyannote[4484].start 28078.25909375
transcript.pyannote[4484].end 28080.65534375
transcript.pyannote[4485].speaker SPEAKER_14
transcript.pyannote[4485].start 28082.57909375
transcript.pyannote[4485].end 28086.32534375
transcript.pyannote[4486].speaker SPEAKER_14
transcript.pyannote[4486].start 28086.81471875
transcript.pyannote[4486].end 28087.94534375
transcript.pyannote[4487].speaker SPEAKER_13
transcript.pyannote[4487].start 28088.97471875
transcript.pyannote[4487].end 28109.05596875
transcript.pyannote[4488].speaker SPEAKER_13
transcript.pyannote[4488].start 28109.17409375
transcript.pyannote[4488].end 28163.81534375
transcript.pyannote[4489].speaker SPEAKER_13
transcript.pyannote[4489].start 28164.28784375
transcript.pyannote[4489].end 28175.62784375
transcript.pyannote[4490].speaker SPEAKER_13
transcript.pyannote[4490].start 28175.94846875
transcript.pyannote[4490].end 28181.77034375
transcript.pyannote[4491].speaker SPEAKER_13
transcript.pyannote[4491].start 28182.25971875
transcript.pyannote[4491].end 28187.15346875
transcript.pyannote[4492].speaker SPEAKER_13
transcript.pyannote[4492].start 28187.89596875
transcript.pyannote[4492].end 28191.16971875
transcript.pyannote[4493].speaker SPEAKER_13
transcript.pyannote[4493].start 28191.79409375
transcript.pyannote[4493].end 28200.43409375
transcript.pyannote[4494].speaker SPEAKER_13
transcript.pyannote[4494].start 28201.12596875
transcript.pyannote[4494].end 28210.55909375
transcript.pyannote[4495].speaker SPEAKER_13
transcript.pyannote[4495].start 28210.86284375
transcript.pyannote[4495].end 28216.85346875
transcript.pyannote[4496].speaker SPEAKER_13
transcript.pyannote[4496].start 28217.34284375
transcript.pyannote[4496].end 28225.81409375
transcript.pyannote[4497].speaker SPEAKER_13
transcript.pyannote[4497].start 28226.05034375
transcript.pyannote[4497].end 28233.23909375
transcript.pyannote[4498].speaker SPEAKER_13
transcript.pyannote[4498].start 28234.04909375
transcript.pyannote[4498].end 28235.90534375
transcript.pyannote[4499].speaker SPEAKER_13
transcript.pyannote[4499].start 28236.64784375
transcript.pyannote[4499].end 28243.19534375
transcript.pyannote[4500].speaker SPEAKER_13
transcript.pyannote[4500].start 28243.60034375
transcript.pyannote[4500].end 28259.02409375
transcript.pyannote[4501].speaker SPEAKER_13
transcript.pyannote[4501].start 28259.22659375
transcript.pyannote[4501].end 28261.47096875
transcript.pyannote[4502].speaker SPEAKER_13
transcript.pyannote[4502].start 28261.74096875
transcript.pyannote[4502].end 28264.27221875
transcript.pyannote[4503].speaker SPEAKER_13
transcript.pyannote[4503].start 28264.96409375
transcript.pyannote[4503].end 28273.60409375
transcript.pyannote[4504].speaker SPEAKER_13
transcript.pyannote[4504].start 28274.00909375
transcript.pyannote[4504].end 28276.05096875
transcript.pyannote[4505].speaker SPEAKER_13
transcript.pyannote[4505].start 28276.30409375
transcript.pyannote[4505].end 28293.49971875
transcript.pyannote[4506].speaker SPEAKER_13
transcript.pyannote[4506].start 28294.30971875
transcript.pyannote[4506].end 28300.16534375
transcript.pyannote[4507].speaker SPEAKER_13
transcript.pyannote[4507].start 28300.55346875
transcript.pyannote[4507].end 28303.92846875
transcript.pyannote[4508].speaker SPEAKER_13
transcript.pyannote[4508].start 28304.24909375
transcript.pyannote[4508].end 28306.52721875
transcript.pyannote[4509].speaker SPEAKER_13
transcript.pyannote[4509].start 28306.89846875
transcript.pyannote[4509].end 28308.38346875
transcript.pyannote[4510].speaker SPEAKER_13
transcript.pyannote[4510].start 28308.60284375
transcript.pyannote[4510].end 28312.55159375
transcript.pyannote[4511].speaker SPEAKER_13
transcript.pyannote[4511].start 28313.24346875
transcript.pyannote[4511].end 28313.90159375
transcript.pyannote[4512].speaker SPEAKER_13
transcript.pyannote[4512].start 28314.62721875
transcript.pyannote[4512].end 28325.27534375
transcript.pyannote[4513].speaker SPEAKER_13
transcript.pyannote[4513].start 28325.37659375
transcript.pyannote[4513].end 28332.58221875
transcript.pyannote[4514].speaker SPEAKER_24
transcript.pyannote[4514].start 28335.04596875
transcript.pyannote[4514].end 28337.07096875
transcript.pyannote[4515].speaker SPEAKER_32
transcript.pyannote[4515].start 28346.28471875
transcript.pyannote[4515].end 28353.20346875
transcript.pyannote[4516].speaker SPEAKER_32
transcript.pyannote[4516].start 28353.82784375
transcript.pyannote[4516].end 28358.28284375
transcript.pyannote[4517].speaker SPEAKER_32
transcript.pyannote[4517].start 28358.35034375
transcript.pyannote[4517].end 28360.78034375
transcript.pyannote[4518].speaker SPEAKER_32
transcript.pyannote[4518].start 28361.20221875
transcript.pyannote[4518].end 28364.25659375
transcript.pyannote[4519].speaker SPEAKER_32
transcript.pyannote[4519].start 28364.59409375
transcript.pyannote[4519].end 28371.63096875
transcript.pyannote[4520].speaker SPEAKER_32
transcript.pyannote[4520].start 28372.06971875
transcript.pyannote[4520].end 28381.08096875
transcript.pyannote[4521].speaker SPEAKER_32
transcript.pyannote[4521].start 28381.89096875
transcript.pyannote[4521].end 28383.30846875
transcript.pyannote[4522].speaker SPEAKER_32
transcript.pyannote[4522].start 28383.81471875
transcript.pyannote[4522].end 28384.62471875
transcript.pyannote[4523].speaker SPEAKER_32
transcript.pyannote[4523].start 28385.01284375
transcript.pyannote[4523].end 28394.64846875
transcript.pyannote[4524].speaker SPEAKER_32
transcript.pyannote[4524].start 28394.88471875
transcript.pyannote[4524].end 28400.11596875
transcript.pyannote[4525].speaker SPEAKER_32
transcript.pyannote[4525].start 28400.33534375
transcript.pyannote[4525].end 28420.43346875
transcript.pyannote[4526].speaker SPEAKER_32
transcript.pyannote[4526].start 28421.02409375
transcript.pyannote[4526].end 28453.94721875
transcript.pyannote[4527].speaker SPEAKER_32
transcript.pyannote[4527].start 28454.82471875
transcript.pyannote[4527].end 28456.49534375
transcript.pyannote[4528].speaker SPEAKER_32
transcript.pyannote[4528].start 28456.83284375
transcript.pyannote[4528].end 28459.12784375
transcript.pyannote[4529].speaker SPEAKER_32
transcript.pyannote[4529].start 28459.56659375
transcript.pyannote[4529].end 28462.06409375
transcript.pyannote[4530].speaker SPEAKER_32
transcript.pyannote[4530].start 28462.40159375
transcript.pyannote[4530].end 28465.64159375
transcript.pyannote[4531].speaker SPEAKER_32
transcript.pyannote[4531].start 28465.89471875
transcript.pyannote[4531].end 28480.59284375
transcript.pyannote[4532].speaker SPEAKER_32
transcript.pyannote[4532].start 28481.13284375
transcript.pyannote[4532].end 28504.89284375
transcript.pyannote[4533].speaker SPEAKER_32
transcript.pyannote[4533].start 28505.06159375
transcript.pyannote[4533].end 28511.77784375
transcript.pyannote[4534].speaker SPEAKER_32
transcript.pyannote[4534].start 28513.66784375
transcript.pyannote[4534].end 28514.59596875
transcript.pyannote[4535].speaker SPEAKER_13
transcript.pyannote[4535].start 28520.08034375
transcript.pyannote[4535].end 28532.73659375
transcript.pyannote[4536].speaker SPEAKER_13
transcript.pyannote[4536].start 28532.77034375
transcript.pyannote[4536].end 28532.80409375
transcript.pyannote[4537].speaker SPEAKER_32
transcript.pyannote[4537].start 28532.80409375
transcript.pyannote[4537].end 28533.41159375
transcript.pyannote[4538].speaker SPEAKER_32
transcript.pyannote[4538].start 28533.88409375
transcript.pyannote[4538].end 28542.47346875
transcript.pyannote[4539].speaker SPEAKER_13
transcript.pyannote[4539].start 28542.65909375
transcript.pyannote[4539].end 28549.54409375
transcript.pyannote[4540].speaker SPEAKER_32
transcript.pyannote[4540].start 28549.10534375
transcript.pyannote[4540].end 28553.42534375
transcript.pyannote[4541].speaker SPEAKER_13
transcript.pyannote[4541].start 28552.95284375
transcript.pyannote[4541].end 28553.13846875
transcript.pyannote[4542].speaker SPEAKER_13
transcript.pyannote[4542].start 28553.17221875
transcript.pyannote[4542].end 28561.05284375
transcript.pyannote[4543].speaker SPEAKER_32
transcript.pyannote[4543].start 28556.12534375
transcript.pyannote[4543].end 28559.43284375
transcript.pyannote[4544].speaker SPEAKER_32
transcript.pyannote[4544].start 28562.82471875
transcript.pyannote[4544].end 28568.95034375
transcript.pyannote[4545].speaker SPEAKER_13
transcript.pyannote[4545].start 28564.39409375
transcript.pyannote[4545].end 28564.41096875
transcript.pyannote[4546].speaker SPEAKER_13
transcript.pyannote[4546].start 28566.11534375
transcript.pyannote[4546].end 28576.39221875
transcript.pyannote[4547].speaker SPEAKER_13
transcript.pyannote[4547].start 28576.74659375
transcript.pyannote[4547].end 28589.53784375
transcript.pyannote[4548].speaker SPEAKER_13
transcript.pyannote[4548].start 28590.09471875
transcript.pyannote[4548].end 28592.38971875
transcript.pyannote[4549].speaker SPEAKER_32
transcript.pyannote[4549].start 28592.38971875
transcript.pyannote[4549].end 28594.63409375
transcript.pyannote[4550].speaker SPEAKER_32
transcript.pyannote[4550].start 28595.02221875
transcript.pyannote[4550].end 28613.53409375
transcript.pyannote[4551].speaker SPEAKER_13
transcript.pyannote[4551].start 28595.79846875
transcript.pyannote[4551].end 28597.85721875
transcript.pyannote[4552].speaker SPEAKER_13
transcript.pyannote[4552].start 28613.70284375
transcript.pyannote[4552].end 28622.12346875
transcript.pyannote[4553].speaker SPEAKER_13
transcript.pyannote[4553].start 28622.51159375
transcript.pyannote[4553].end 28624.78971875
transcript.pyannote[4554].speaker SPEAKER_13
transcript.pyannote[4554].start 28624.97534375
transcript.pyannote[4554].end 28627.86096875
transcript.pyannote[4555].speaker SPEAKER_13
transcript.pyannote[4555].start 28628.23221875
transcript.pyannote[4555].end 28633.48034375
transcript.pyannote[4556].speaker SPEAKER_32
transcript.pyannote[4556].start 28633.48034375
transcript.pyannote[4556].end 28639.69034375
transcript.pyannote[4557].speaker SPEAKER_32
transcript.pyannote[4557].start 28640.28096875
transcript.pyannote[4557].end 28648.06034375
transcript.pyannote[4558].speaker SPEAKER_30
transcript.pyannote[4558].start 28648.21221875
transcript.pyannote[4558].end 28648.43159375
transcript.pyannote[4559].speaker SPEAKER_32
transcript.pyannote[4559].start 28650.54096875
transcript.pyannote[4559].end 28650.57471875
transcript.pyannote[4560].speaker SPEAKER_13
transcript.pyannote[4560].start 28650.57471875
transcript.pyannote[4560].end 28652.54909375
transcript.pyannote[4561].speaker SPEAKER_13
transcript.pyannote[4561].start 28655.13096875
transcript.pyannote[4561].end 28655.14784375
transcript.pyannote[4562].speaker SPEAKER_21
transcript.pyannote[4562].start 28655.14784375
transcript.pyannote[4562].end 28656.95346875
transcript.pyannote[4563].speaker SPEAKER_21
transcript.pyannote[4563].start 28656.97034375
transcript.pyannote[4563].end 28657.05471875
transcript.pyannote[4564].speaker SPEAKER_21
transcript.pyannote[4564].start 28657.13909375
transcript.pyannote[4564].end 28671.22971875
transcript.pyannote[4565].speaker SPEAKER_21
transcript.pyannote[4565].start 28671.56721875
transcript.pyannote[4565].end 28699.25909375
transcript.pyannote[4566].speaker SPEAKER_24
transcript.pyannote[4566].start 28700.22096875
transcript.pyannote[4566].end 28702.49909375
transcript.pyannote[4567].speaker SPEAKER_18
transcript.pyannote[4567].start 28702.66784375
transcript.pyannote[4567].end 28744.55159375
transcript.pyannote[4568].speaker SPEAKER_18
transcript.pyannote[4568].start 28744.61909375
transcript.pyannote[4568].end 28756.76909375
transcript.pyannote[4569].speaker SPEAKER_18
transcript.pyannote[4569].start 28757.37659375
transcript.pyannote[4569].end 28819.00409375
transcript.pyannote[4570].speaker SPEAKER_27
transcript.pyannote[4570].start 28824.45471875
transcript.pyannote[4570].end 28827.40784375
transcript.pyannote[4571].speaker SPEAKER_27
transcript.pyannote[4571].start 28827.74534375
transcript.pyannote[4571].end 28829.02784375
transcript.pyannote[4572].speaker SPEAKER_14
transcript.pyannote[4572].start 28829.02784375
transcript.pyannote[4572].end 28830.37784375
transcript.pyannote[4573].speaker SPEAKER_12
transcript.pyannote[4573].start 28833.33096875
transcript.pyannote[4573].end 28840.01346875
transcript.pyannote[4574].speaker SPEAKER_12
transcript.pyannote[4574].start 28840.26659375
transcript.pyannote[4574].end 28863.40221875
transcript.pyannote[4575].speaker SPEAKER_12
transcript.pyannote[4575].start 28863.58784375
transcript.pyannote[4575].end 28881.05346875
transcript.pyannote[4576].speaker SPEAKER_12
transcript.pyannote[4576].start 28887.43221875
transcript.pyannote[4576].end 28887.44909375
transcript.pyannote[4577].speaker SPEAKER_14
transcript.pyannote[4577].start 28887.44909375
transcript.pyannote[4577].end 28889.32221875
transcript.pyannote[4578].speaker SPEAKER_14
transcript.pyannote[4578].start 28889.74409375
transcript.pyannote[4578].end 28890.41909375
transcript.pyannote[4579].speaker SPEAKER_14
transcript.pyannote[4579].start 28890.57096875
transcript.pyannote[4579].end 28893.84471875
transcript.pyannote[4580].speaker SPEAKER_30
transcript.pyannote[4580].start 28894.50284375
transcript.pyannote[4580].end 28894.77284375
transcript.pyannote[4581].speaker SPEAKER_14
transcript.pyannote[4581].start 28895.31284375
transcript.pyannote[4581].end 28896.71346875
transcript.pyannote[4582].speaker SPEAKER_14
transcript.pyannote[4582].start 28897.57409375
transcript.pyannote[4582].end 28898.02971875
transcript.pyannote[4583].speaker SPEAKER_21
transcript.pyannote[4583].start 28906.66971875
transcript.pyannote[4583].end 28967.75721875
transcript.pyannote[4584].speaker SPEAKER_32
transcript.pyannote[4584].start 28910.75346875
transcript.pyannote[4584].end 28910.93909375
transcript.pyannote[4585].speaker SPEAKER_29
transcript.pyannote[4585].start 28910.93909375
transcript.pyannote[4585].end 28911.05721875
transcript.pyannote[4586].speaker SPEAKER_30
transcript.pyannote[4586].start 28911.05721875
transcript.pyannote[4586].end 28911.63096875
transcript.pyannote[4587].speaker SPEAKER_32
transcript.pyannote[4587].start 28911.63096875
transcript.pyannote[4587].end 28911.68159375
transcript.pyannote[4588].speaker SPEAKER_24
transcript.pyannote[4588].start 28968.26346875
transcript.pyannote[4588].end 28968.49971875
transcript.pyannote[4589].speaker SPEAKER_24
transcript.pyannote[4589].start 28970.08596875
transcript.pyannote[4589].end 28971.31784375
transcript.pyannote[4590].speaker SPEAKER_24
transcript.pyannote[4590].start 28971.65534375
transcript.pyannote[4590].end 28972.58346875
transcript.pyannote[4591].speaker SPEAKER_32
transcript.pyannote[4591].start 28975.60409375
transcript.pyannote[4591].end 28983.28221875
transcript.pyannote[4592].speaker SPEAKER_32
transcript.pyannote[4592].start 28983.67034375
transcript.pyannote[4592].end 28984.56471875
transcript.pyannote[4593].speaker SPEAKER_32
transcript.pyannote[4593].start 28985.03721875
transcript.pyannote[4593].end 28986.33659375
transcript.pyannote[4594].speaker SPEAKER_32
transcript.pyannote[4594].start 28986.96096875
transcript.pyannote[4594].end 28987.41659375
transcript.pyannote[4595].speaker SPEAKER_32
transcript.pyannote[4595].start 28989.18846875
transcript.pyannote[4595].end 28989.45846875
transcript.pyannote[4596].speaker SPEAKER_32
transcript.pyannote[4596].start 28989.72846875
transcript.pyannote[4596].end 28989.94784375
transcript.pyannote[4597].speaker SPEAKER_32
transcript.pyannote[4597].start 28990.30221875
transcript.pyannote[4597].end 28994.47034375
transcript.pyannote[4598].speaker SPEAKER_32
transcript.pyannote[4598].start 28994.74034375
transcript.pyannote[4598].end 29016.93096875
transcript.pyannote[4599].speaker SPEAKER_32
transcript.pyannote[4599].start 29017.26846875
transcript.pyannote[4599].end 29017.67346875
transcript.pyannote[4600].speaker SPEAKER_38
transcript.pyannote[4600].start 29027.37659375
transcript.pyannote[4600].end 29027.41034375
transcript.pyannote[4601].speaker SPEAKER_27
transcript.pyannote[4601].start 29030.93721875
transcript.pyannote[4601].end 29031.52784375
transcript.pyannote[4602].speaker SPEAKER_24
transcript.pyannote[4602].start 29031.52784375
transcript.pyannote[4602].end 29031.62909375
transcript.pyannote[4603].speaker SPEAKER_24
transcript.pyannote[4603].start 29031.69659375
transcript.pyannote[4603].end 29031.76409375
transcript.pyannote[4604].speaker SPEAKER_27
transcript.pyannote[4604].start 29031.76409375
transcript.pyannote[4604].end 29054.10659375
transcript.pyannote[4605].speaker SPEAKER_27
transcript.pyannote[4605].start 29054.71409375
transcript.pyannote[4605].end 29055.08534375
transcript.pyannote[4606].speaker SPEAKER_14
transcript.pyannote[4606].start 29059.82721875
transcript.pyannote[4606].end 29061.12659375
transcript.pyannote[4607].speaker SPEAKER_14
transcript.pyannote[4607].start 29061.61596875
transcript.pyannote[4607].end 29062.99971875
transcript.pyannote[4608].speaker SPEAKER_14
transcript.pyannote[4608].start 29063.53971875
transcript.pyannote[4608].end 29064.06284375
transcript.pyannote[4609].speaker SPEAKER_24
transcript.pyannote[4609].start 29064.06284375
transcript.pyannote[4609].end 29064.09659375
transcript.pyannote[4610].speaker SPEAKER_24
transcript.pyannote[4610].start 29064.65346875
transcript.pyannote[4610].end 29064.67034375
transcript.pyannote[4611].speaker SPEAKER_14
transcript.pyannote[4611].start 29064.67034375
transcript.pyannote[4611].end 29065.02471875
transcript.pyannote[4612].speaker SPEAKER_24
transcript.pyannote[4612].start 29065.02471875
transcript.pyannote[4612].end 29066.93159375
transcript.pyannote[4613].speaker SPEAKER_30
transcript.pyannote[4613].start 29068.26471875
transcript.pyannote[4613].end 29068.31534375
transcript.pyannote[4614].speaker SPEAKER_22
transcript.pyannote[4614].start 29088.48096875
transcript.pyannote[4614].end 29088.71721875
transcript.pyannote[4615].speaker SPEAKER_22
transcript.pyannote[4615].start 29088.81846875
transcript.pyannote[4615].end 29088.88596875
transcript.pyannote[4616].speaker SPEAKER_13
transcript.pyannote[4616].start 29104.76534375
transcript.pyannote[4616].end 29130.93846875
transcript.pyannote[4617].speaker SPEAKER_13
transcript.pyannote[4617].start 29131.30971875
transcript.pyannote[4617].end 29132.05221875
transcript.pyannote[4618].speaker SPEAKER_13
transcript.pyannote[4618].start 29132.18721875
transcript.pyannote[4618].end 29138.29596875
transcript.pyannote[4619].speaker SPEAKER_13
transcript.pyannote[4619].start 29138.63346875
transcript.pyannote[4619].end 29147.00346875
transcript.pyannote[4620].speaker SPEAKER_13
transcript.pyannote[4620].start 29147.61096875
transcript.pyannote[4620].end 29154.63096875
transcript.pyannote[4621].speaker SPEAKER_13
transcript.pyannote[4621].start 29154.88409375
transcript.pyannote[4621].end 29182.13721875
transcript.pyannote[4622].speaker SPEAKER_24
transcript.pyannote[4622].start 29185.15784375
transcript.pyannote[4622].end 29185.19159375
transcript.pyannote[4623].speaker SPEAKER_19
transcript.pyannote[4623].start 29185.19159375
transcript.pyannote[4623].end 29187.11534375
transcript.pyannote[4624].speaker SPEAKER_19
transcript.pyannote[4624].start 29188.04346875
transcript.pyannote[4624].end 29190.38909375
transcript.pyannote[4625].speaker SPEAKER_19
transcript.pyannote[4625].start 29190.82784375
transcript.pyannote[4625].end 29199.53534375
transcript.pyannote[4626].speaker SPEAKER_19
transcript.pyannote[4626].start 29200.21034375
transcript.pyannote[4626].end 29205.05346875
transcript.pyannote[4627].speaker SPEAKER_19
transcript.pyannote[4627].start 29205.64409375
transcript.pyannote[4627].end 29208.29346875
transcript.pyannote[4628].speaker SPEAKER_19
transcript.pyannote[4628].start 29208.32721875
transcript.pyannote[4628].end 29209.79534375
transcript.pyannote[4629].speaker SPEAKER_19
transcript.pyannote[4629].start 29209.99784375
transcript.pyannote[4629].end 29211.82034375
transcript.pyannote[4630].speaker SPEAKER_19
transcript.pyannote[4630].start 29212.02284375
transcript.pyannote[4630].end 29224.83096875
transcript.pyannote[4631].speaker SPEAKER_19
transcript.pyannote[4631].start 29225.28659375
transcript.pyannote[4631].end 29230.39971875
transcript.pyannote[4632].speaker SPEAKER_19
transcript.pyannote[4632].start 29231.34471875
transcript.pyannote[4632].end 29240.71034375
transcript.pyannote[4633].speaker SPEAKER_19
transcript.pyannote[4633].start 29240.92971875
transcript.pyannote[4633].end 29243.02221875
transcript.pyannote[4634].speaker SPEAKER_19
transcript.pyannote[4634].start 29243.49471875
transcript.pyannote[4634].end 29246.12721875
transcript.pyannote[4635].speaker SPEAKER_19
transcript.pyannote[4635].start 29246.39721875
transcript.pyannote[4635].end 29254.95284375
transcript.pyannote[4636].speaker SPEAKER_19
transcript.pyannote[4636].start 29255.77971875
transcript.pyannote[4636].end 29295.80721875
transcript.pyannote[4637].speaker SPEAKER_19
transcript.pyannote[4637].start 29296.11096875
transcript.pyannote[4637].end 29307.53534375
transcript.pyannote[4638].speaker SPEAKER_19
transcript.pyannote[4638].start 29308.90221875
transcript.pyannote[4638].end 29325.27096875
transcript.pyannote[4639].speaker SPEAKER_19
transcript.pyannote[4639].start 29325.92909375
transcript.pyannote[4639].end 29329.23659375
transcript.pyannote[4640].speaker SPEAKER_19
transcript.pyannote[4640].start 29329.94534375
transcript.pyannote[4640].end 29331.93659375
transcript.pyannote[4641].speaker SPEAKER_19
transcript.pyannote[4641].start 29332.40909375
transcript.pyannote[4641].end 29337.75846875
transcript.pyannote[4642].speaker SPEAKER_19
transcript.pyannote[4642].start 29338.39971875
transcript.pyannote[4642].end 29342.63534375
transcript.pyannote[4643].speaker SPEAKER_19
transcript.pyannote[4643].start 29343.15846875
transcript.pyannote[4643].end 29385.43034375
transcript.pyannote[4644].speaker SPEAKER_19
transcript.pyannote[4644].start 29386.20659375
transcript.pyannote[4644].end 29387.62409375
transcript.pyannote[4645].speaker SPEAKER_19
transcript.pyannote[4645].start 29388.46784375
transcript.pyannote[4645].end 29399.89221875
transcript.pyannote[4646].speaker SPEAKER_19
transcript.pyannote[4646].start 29400.58409375
transcript.pyannote[4646].end 29404.61721875
transcript.pyannote[4647].speaker SPEAKER_14
transcript.pyannote[4647].start 29406.30471875
transcript.pyannote[4647].end 29412.97034375
transcript.pyannote[4648].speaker SPEAKER_14
transcript.pyannote[4648].start 29413.17284375
transcript.pyannote[4648].end 29418.21846875
transcript.pyannote[4649].speaker SPEAKER_24
transcript.pyannote[4649].start 29418.21846875
transcript.pyannote[4649].end 29418.30284375
transcript.pyannote[4650].speaker SPEAKER_30
transcript.pyannote[4650].start 29418.30284375
transcript.pyannote[4650].end 29418.31971875
transcript.pyannote[4651].speaker SPEAKER_14
transcript.pyannote[4651].start 29419.07909375
transcript.pyannote[4651].end 29419.34909375
transcript.pyannote[4652].speaker SPEAKER_14
transcript.pyannote[4652].start 29419.85534375
transcript.pyannote[4652].end 29420.02409375
transcript.pyannote[4653].speaker SPEAKER_24
transcript.pyannote[4653].start 29420.02409375
transcript.pyannote[4653].end 29421.39096875
transcript.pyannote[4654].speaker SPEAKER_32
transcript.pyannote[4654].start 29427.85409375
transcript.pyannote[4654].end 29434.48596875
transcript.pyannote[4655].speaker SPEAKER_32
transcript.pyannote[4655].start 29434.90784375
transcript.pyannote[4655].end 29442.26534375
transcript.pyannote[4656].speaker SPEAKER_32
transcript.pyannote[4656].start 29442.73784375
transcript.pyannote[4656].end 29452.35659375
transcript.pyannote[4657].speaker SPEAKER_32
transcript.pyannote[4657].start 29453.09909375
transcript.pyannote[4657].end 29454.56721875
transcript.pyannote[4658].speaker SPEAKER_32
transcript.pyannote[4658].start 29454.97221875
transcript.pyannote[4658].end 29458.21221875
transcript.pyannote[4659].speaker SPEAKER_32
transcript.pyannote[4659].start 29458.87034375
transcript.pyannote[4659].end 29460.40596875
transcript.pyannote[4660].speaker SPEAKER_32
transcript.pyannote[4660].start 29460.81096875
transcript.pyannote[4660].end 29466.95346875
transcript.pyannote[4661].speaker SPEAKER_32
transcript.pyannote[4661].start 29467.72971875
transcript.pyannote[4661].end 29475.07034375
transcript.pyannote[4662].speaker SPEAKER_32
transcript.pyannote[4662].start 29475.94784375
transcript.pyannote[4662].end 29479.06971875
transcript.pyannote[4663].speaker SPEAKER_32
transcript.pyannote[4663].start 29479.49159375
transcript.pyannote[4663].end 29492.18159375
transcript.pyannote[4664].speaker SPEAKER_32
transcript.pyannote[4664].start 29492.51909375
transcript.pyannote[4664].end 29494.12221875
transcript.pyannote[4665].speaker SPEAKER_32
transcript.pyannote[4665].start 29494.44284375
transcript.pyannote[4665].end 29495.30346875
transcript.pyannote[4666].speaker SPEAKER_32
transcript.pyannote[4666].start 29495.79284375
transcript.pyannote[4666].end 29507.30159375
transcript.pyannote[4667].speaker SPEAKER_32
transcript.pyannote[4667].start 29507.35221875
transcript.pyannote[4667].end 29526.38721875
transcript.pyannote[4668].speaker SPEAKER_32
transcript.pyannote[4668].start 29527.01159375
transcript.pyannote[4668].end 29529.98159375
transcript.pyannote[4669].speaker SPEAKER_32
transcript.pyannote[4669].start 29530.87596875
transcript.pyannote[4669].end 29531.31471875
transcript.pyannote[4670].speaker SPEAKER_32
transcript.pyannote[4670].start 29532.15846875
transcript.pyannote[4670].end 29533.20471875
transcript.pyannote[4671].speaker SPEAKER_32
transcript.pyannote[4671].start 29533.66034375
transcript.pyannote[4671].end 29537.44034375
transcript.pyannote[4672].speaker SPEAKER_32
transcript.pyannote[4672].start 29537.89596875
transcript.pyannote[4672].end 29539.07721875
transcript.pyannote[4673].speaker SPEAKER_32
transcript.pyannote[4673].start 29539.44846875
transcript.pyannote[4673].end 29540.29221875
transcript.pyannote[4674].speaker SPEAKER_32
transcript.pyannote[4674].start 29540.57909375
transcript.pyannote[4674].end 29541.25409375
transcript.pyannote[4675].speaker SPEAKER_32
transcript.pyannote[4675].start 29541.67596875
transcript.pyannote[4675].end 29542.51971875
transcript.pyannote[4676].speaker SPEAKER_32
transcript.pyannote[4676].start 29543.07659375
transcript.pyannote[4676].end 29546.38409375
transcript.pyannote[4677].speaker SPEAKER_32
transcript.pyannote[4677].start 29547.21096875
transcript.pyannote[4677].end 29549.91096875
transcript.pyannote[4678].speaker SPEAKER_32
transcript.pyannote[4678].start 29550.36659375
transcript.pyannote[4678].end 29551.27784375
transcript.pyannote[4679].speaker SPEAKER_32
transcript.pyannote[4679].start 29551.39596875
transcript.pyannote[4679].end 29562.11159375
transcript.pyannote[4680].speaker SPEAKER_32
transcript.pyannote[4680].start 29562.38159375
transcript.pyannote[4680].end 29566.06034375
transcript.pyannote[4681].speaker SPEAKER_32
transcript.pyannote[4681].start 29566.41471875
transcript.pyannote[4681].end 29568.01784375
transcript.pyannote[4682].speaker SPEAKER_32
transcript.pyannote[4682].start 29568.77721875
transcript.pyannote[4682].end 29578.49721875
transcript.pyannote[4683].speaker SPEAKER_32
transcript.pyannote[4683].start 29578.98659375
transcript.pyannote[4683].end 29581.93971875
transcript.pyannote[4684].speaker SPEAKER_32
transcript.pyannote[4684].start 29582.44596875
transcript.pyannote[4684].end 29584.55534375
transcript.pyannote[4685].speaker SPEAKER_32
transcript.pyannote[4685].start 29584.92659375
transcript.pyannote[4685].end 29587.30596875
transcript.pyannote[4686].speaker SPEAKER_32
transcript.pyannote[4686].start 29587.60971875
transcript.pyannote[4686].end 29594.52846875
transcript.pyannote[4687].speaker SPEAKER_32
transcript.pyannote[4687].start 29594.73096875
transcript.pyannote[4687].end 29599.30409375
transcript.pyannote[4688].speaker SPEAKER_32
transcript.pyannote[4688].start 29600.23221875
transcript.pyannote[4688].end 29608.97346875
transcript.pyannote[4689].speaker SPEAKER_32
transcript.pyannote[4689].start 29609.61471875
transcript.pyannote[4689].end 29611.40346875
transcript.pyannote[4690].speaker SPEAKER_32
transcript.pyannote[4690].start 29611.85909375
transcript.pyannote[4690].end 29613.09096875
transcript.pyannote[4691].speaker SPEAKER_32
transcript.pyannote[4691].start 29613.58034375
transcript.pyannote[4691].end 29614.79534375
transcript.pyannote[4692].speaker SPEAKER_32
transcript.pyannote[4692].start 29615.26784375
transcript.pyannote[4692].end 29616.98909375
transcript.pyannote[4693].speaker SPEAKER_32
transcript.pyannote[4693].start 29617.34346875
transcript.pyannote[4693].end 29620.76909375
transcript.pyannote[4694].speaker SPEAKER_32
transcript.pyannote[4694].start 29620.97159375
transcript.pyannote[4694].end 29630.23596875
transcript.pyannote[4695].speaker SPEAKER_32
transcript.pyannote[4695].start 29630.45534375
transcript.pyannote[4695].end 29633.79659375
transcript.pyannote[4696].speaker SPEAKER_32
transcript.pyannote[4696].start 29634.21846875
transcript.pyannote[4696].end 29635.88909375
transcript.pyannote[4697].speaker SPEAKER_32
transcript.pyannote[4697].start 29636.31096875
transcript.pyannote[4697].end 29637.93096875
transcript.pyannote[4698].speaker SPEAKER_32
transcript.pyannote[4698].start 29638.20096875
transcript.pyannote[4698].end 29643.26346875
transcript.pyannote[4699].speaker SPEAKER_32
transcript.pyannote[4699].start 29643.65159375
transcript.pyannote[4699].end 29645.79471875
transcript.pyannote[4700].speaker SPEAKER_32
transcript.pyannote[4700].start 29646.21659375
transcript.pyannote[4700].end 29654.56971875
transcript.pyannote[4701].speaker SPEAKER_32
transcript.pyannote[4701].start 29655.00846875
transcript.pyannote[4701].end 29660.59409375
transcript.pyannote[4702].speaker SPEAKER_19
transcript.pyannote[4702].start 29664.81284375
transcript.pyannote[4702].end 29674.49909375
transcript.pyannote[4703].speaker SPEAKER_14
transcript.pyannote[4703].start 29670.80346875
transcript.pyannote[4703].end 29671.00596875
transcript.pyannote[4704].speaker SPEAKER_14
transcript.pyannote[4704].start 29672.42346875
transcript.pyannote[4704].end 29679.96659375
transcript.pyannote[4705].speaker SPEAKER_19
transcript.pyannote[4705].start 29676.28784375
transcript.pyannote[4705].end 29677.30034375
transcript.pyannote[4706].speaker SPEAKER_14
transcript.pyannote[4706].start 29680.37159375
transcript.pyannote[4706].end 29680.94534375
transcript.pyannote[4707].speaker SPEAKER_14
transcript.pyannote[4707].start 29682.36284375
transcript.pyannote[4707].end 29695.35659375
transcript.pyannote[4708].speaker SPEAKER_14
transcript.pyannote[4708].start 29699.72721875
transcript.pyannote[4708].end 29704.06409375
transcript.pyannote[4709].speaker SPEAKER_14
transcript.pyannote[4709].start 29710.49346875
transcript.pyannote[4709].end 29711.87721875
transcript.pyannote[4710].speaker SPEAKER_14
transcript.pyannote[4710].start 29713.39596875
transcript.pyannote[4710].end 29714.29034375
transcript.pyannote[4711].speaker SPEAKER_14
transcript.pyannote[4711].start 29714.83034375
transcript.pyannote[4711].end 29728.49909375
transcript.pyannote[4712].speaker SPEAKER_14
transcript.pyannote[4712].start 29732.73471875
transcript.pyannote[4712].end 29733.03846875
transcript.pyannote[4713].speaker SPEAKER_14
transcript.pyannote[4713].start 29733.32534375
transcript.pyannote[4713].end 29735.48534375
transcript.pyannote[4714].speaker SPEAKER_14
transcript.pyannote[4714].start 29737.07159375
transcript.pyannote[4714].end 29739.26534375
transcript.pyannote[4715].speaker SPEAKER_14
transcript.pyannote[4715].start 29739.70409375
transcript.pyannote[4715].end 29746.47096875
transcript.pyannote[4716].speaker SPEAKER_19
transcript.pyannote[4716].start 29747.61846875
transcript.pyannote[4716].end 29752.86659375
transcript.pyannote[4717].speaker SPEAKER_14
transcript.pyannote[4717].start 29753.27159375
transcript.pyannote[4717].end 29755.11096875
transcript.pyannote[4718].speaker SPEAKER_24
transcript.pyannote[4718].start 29755.11096875
transcript.pyannote[4718].end 29755.88721875
transcript.pyannote[4719].speaker SPEAKER_14
transcript.pyannote[4719].start 29755.88721875
transcript.pyannote[4719].end 29755.90409375
transcript.pyannote[4720].speaker SPEAKER_24
transcript.pyannote[4720].start 29755.90409375
transcript.pyannote[4720].end 29755.93784375
transcript.pyannote[4721].speaker SPEAKER_19
transcript.pyannote[4721].start 29756.66346875
transcript.pyannote[4721].end 29759.07659375
transcript.pyannote[4722].speaker SPEAKER_24
transcript.pyannote[4722].start 29759.07659375
transcript.pyannote[4722].end 29761.00034375
transcript.pyannote[4723].speaker SPEAKER_19
transcript.pyannote[4723].start 29759.12721875
transcript.pyannote[4723].end 29759.16096875
transcript.pyannote[4724].speaker SPEAKER_19
transcript.pyannote[4724].start 29759.36346875
transcript.pyannote[4724].end 29759.85284375
transcript.pyannote[4725].speaker SPEAKER_19
transcript.pyannote[4725].start 29760.47721875
transcript.pyannote[4725].end 29769.30284375
transcript.pyannote[4726].speaker SPEAKER_29
transcript.pyannote[4726].start 29769.48846875
transcript.pyannote[4726].end 29770.11284375
transcript.pyannote[4727].speaker SPEAKER_19
transcript.pyannote[4727].start 29770.19721875
transcript.pyannote[4727].end 29772.20534375
transcript.pyannote[4728].speaker SPEAKER_19
transcript.pyannote[4728].start 29772.64409375
transcript.pyannote[4728].end 29774.07846875
transcript.pyannote[4729].speaker SPEAKER_19
transcript.pyannote[4729].start 29774.36534375
transcript.pyannote[4729].end 29775.98534375
transcript.pyannote[4730].speaker SPEAKER_14
transcript.pyannote[4730].start 29776.57596875
transcript.pyannote[4730].end 29799.59346875
transcript.pyannote[4731].speaker SPEAKER_37
transcript.pyannote[4731].start 29791.29096875
transcript.pyannote[4731].end 29791.96596875
transcript.pyannote[4732].speaker SPEAKER_37
transcript.pyannote[4732].start 29792.08409375
transcript.pyannote[4732].end 29792.59034375
transcript.pyannote[4733].speaker SPEAKER_26
transcript.pyannote[4733].start 29792.59034375
transcript.pyannote[4733].end 29792.94471875
transcript.pyannote[4734].speaker SPEAKER_24
transcript.pyannote[4734].start 29795.49284375
transcript.pyannote[4734].end 29795.91471875
transcript.pyannote[4735].speaker SPEAKER_24
transcript.pyannote[4735].start 29798.81721875
transcript.pyannote[4735].end 29801.01096875
transcript.pyannote[4736].speaker SPEAKER_14
transcript.pyannote[4736].start 29800.84221875
transcript.pyannote[4736].end 29806.93409375
transcript.pyannote[4737].speaker SPEAKER_24
transcript.pyannote[4737].start 29802.85034375
transcript.pyannote[4737].end 29803.74471875
transcript.pyannote[4738].speaker SPEAKER_14
transcript.pyannote[4738].start 29810.88284375
transcript.pyannote[4738].end 29810.93346875
transcript.pyannote[4739].speaker SPEAKER_26
transcript.pyannote[4739].start 29810.93346875
transcript.pyannote[4739].end 29811.76034375
transcript.pyannote[4740].speaker SPEAKER_26
transcript.pyannote[4740].start 29814.66284375
transcript.pyannote[4740].end 29814.67971875
transcript.pyannote[4741].speaker SPEAKER_32
transcript.pyannote[4741].start 29814.67971875
transcript.pyannote[4741].end 29828.34846875
transcript.pyannote[4742].speaker SPEAKER_14
transcript.pyannote[4742].start 29816.41784375
transcript.pyannote[4742].end 29817.29534375
transcript.pyannote[4743].speaker SPEAKER_32
transcript.pyannote[4743].start 29828.85471875
transcript.pyannote[4743].end 29832.76971875
transcript.pyannote[4744].speaker SPEAKER_32
transcript.pyannote[4744].start 29833.25909375
transcript.pyannote[4744].end 29847.70409375
transcript.pyannote[4745].speaker SPEAKER_19
transcript.pyannote[4745].start 29845.44284375
transcript.pyannote[4745].end 29847.73784375
transcript.pyannote[4746].speaker SPEAKER_32
transcript.pyannote[4746].start 29848.42971875
transcript.pyannote[4746].end 29850.65721875
transcript.pyannote[4747].speaker SPEAKER_19
transcript.pyannote[4747].start 29848.68284375
transcript.pyannote[4747].end 29849.69534375
transcript.pyannote[4748].speaker SPEAKER_19
transcript.pyannote[4748].start 29850.65721875
transcript.pyannote[4748].end 29856.00659375
transcript.pyannote[4749].speaker SPEAKER_32
transcript.pyannote[4749].start 29851.24784375
transcript.pyannote[4749].end 29852.83409375
transcript.pyannote[4750].speaker SPEAKER_32
transcript.pyannote[4750].start 29854.11659375
transcript.pyannote[4750].end 29855.06159375
transcript.pyannote[4751].speaker SPEAKER_32
transcript.pyannote[4751].start 29855.56784375
transcript.pyannote[4751].end 29868.64596875
transcript.pyannote[4752].speaker SPEAKER_19
transcript.pyannote[4752].start 29858.50409375
transcript.pyannote[4752].end 29861.37284375
transcript.pyannote[4753].speaker SPEAKER_19
transcript.pyannote[4753].start 29866.30034375
transcript.pyannote[4753].end 29871.76784375
transcript.pyannote[4754].speaker SPEAKER_32
transcript.pyannote[4754].start 29871.95346875
transcript.pyannote[4754].end 29872.27409375
transcript.pyannote[4755].speaker SPEAKER_19
transcript.pyannote[4755].start 29872.27409375
transcript.pyannote[4755].end 29876.45909375
transcript.pyannote[4756].speaker SPEAKER_32
transcript.pyannote[4756].start 29872.30784375
transcript.pyannote[4756].end 29872.66221875
transcript.pyannote[4757].speaker SPEAKER_32
transcript.pyannote[4757].start 29874.29909375
transcript.pyannote[4757].end 29875.90221875
transcript.pyannote[4758].speaker SPEAKER_32
transcript.pyannote[4758].start 29876.17221875
transcript.pyannote[4758].end 29884.33971875
transcript.pyannote[4759].speaker SPEAKER_19
transcript.pyannote[4759].start 29877.74159375
transcript.pyannote[4759].end 29880.25596875
transcript.pyannote[4760].speaker SPEAKER_19
transcript.pyannote[4760].start 29881.90971875
transcript.pyannote[4760].end 29881.94346875
transcript.pyannote[4761].speaker SPEAKER_14
transcript.pyannote[4761].start 29881.94346875
transcript.pyannote[4761].end 29884.42409375
transcript.pyannote[4762].speaker SPEAKER_19
transcript.pyannote[4762].start 29884.33971875
transcript.pyannote[4762].end 29884.35659375
transcript.pyannote[4763].speaker SPEAKER_19
transcript.pyannote[4763].start 29884.42409375
transcript.pyannote[4763].end 29884.59284375
transcript.pyannote[4764].speaker SPEAKER_14
transcript.pyannote[4764].start 29884.59284375
transcript.pyannote[4764].end 29895.79784375
transcript.pyannote[4765].speaker SPEAKER_14
transcript.pyannote[4765].start 29896.45596875
transcript.pyannote[4765].end 29897.78909375
transcript.pyannote[4766].speaker SPEAKER_14
transcript.pyannote[4766].start 29898.71721875
transcript.pyannote[4766].end 29899.42596875
transcript.pyannote[4767].speaker SPEAKER_14
transcript.pyannote[4767].start 29900.06721875
transcript.pyannote[4767].end 29900.99534375
transcript.pyannote[4768].speaker SPEAKER_14
transcript.pyannote[4768].start 29901.58596875
transcript.pyannote[4768].end 29913.55034375
transcript.pyannote[4769].speaker SPEAKER_06
transcript.pyannote[4769].start 29912.41971875
transcript.pyannote[4769].end 29912.62221875
transcript.pyannote[4770].speaker SPEAKER_30
transcript.pyannote[4770].start 29912.62221875
transcript.pyannote[4770].end 29912.97659375
transcript.pyannote[4771].speaker SPEAKER_06
transcript.pyannote[4771].start 29912.97659375
transcript.pyannote[4771].end 29923.16909375
transcript.pyannote[4772].speaker SPEAKER_06
transcript.pyannote[4772].start 29923.77659375
transcript.pyannote[4772].end 29924.58659375
transcript.pyannote[4773].speaker SPEAKER_14
transcript.pyannote[4773].start 29925.98721875
transcript.pyannote[4773].end 29929.04159375
transcript.pyannote[4774].speaker SPEAKER_13
transcript.pyannote[4774].start 29929.86846875
transcript.pyannote[4774].end 29941.74846875
transcript.pyannote[4775].speaker SPEAKER_13
transcript.pyannote[4775].start 29942.00159375
transcript.pyannote[4775].end 29969.87909375
transcript.pyannote[4776].speaker SPEAKER_13
transcript.pyannote[4776].start 29971.56659375
transcript.pyannote[4776].end 29979.19409375
transcript.pyannote[4777].speaker SPEAKER_13
transcript.pyannote[4777].start 29979.73409375
transcript.pyannote[4777].end 29992.64346875
transcript.pyannote[4778].speaker SPEAKER_13
transcript.pyannote[4778].start 29993.16659375
transcript.pyannote[4778].end 30018.22596875
transcript.pyannote[4779].speaker SPEAKER_13
transcript.pyannote[4779].start 30018.78284375
transcript.pyannote[4779].end 30020.67284375
transcript.pyannote[4780].speaker SPEAKER_13
transcript.pyannote[4780].start 30021.48284375
transcript.pyannote[4780].end 30025.31346875
transcript.pyannote[4781].speaker SPEAKER_13
transcript.pyannote[4781].start 30027.06846875
transcript.pyannote[4781].end 30030.86534375
transcript.pyannote[4782].speaker SPEAKER_13
transcript.pyannote[4782].start 30031.42221875
transcript.pyannote[4782].end 30036.13034375
transcript.pyannote[4783].speaker SPEAKER_13
transcript.pyannote[4783].start 30036.46784375
transcript.pyannote[4783].end 30053.03909375
transcript.pyannote[4784].speaker SPEAKER_13
transcript.pyannote[4784].start 30053.96721875
transcript.pyannote[4784].end 30063.51846875
transcript.pyannote[4785].speaker SPEAKER_13
transcript.pyannote[4785].start 30064.07534375
transcript.pyannote[4785].end 30085.10159375
transcript.pyannote[4786].speaker SPEAKER_14
transcript.pyannote[4786].start 30087.07596875
transcript.pyannote[4786].end 30091.96971875
transcript.pyannote[4787].speaker SPEAKER_21
transcript.pyannote[4787].start 30091.96971875
transcript.pyannote[4787].end 30092.00346875
transcript.pyannote[4788].speaker SPEAKER_21
transcript.pyannote[4788].start 30094.18034375
transcript.pyannote[4788].end 30118.31159375
transcript.pyannote[4789].speaker SPEAKER_21
transcript.pyannote[4789].start 30118.56471875
transcript.pyannote[4789].end 30123.13784375
transcript.pyannote[4790].speaker SPEAKER_21
transcript.pyannote[4790].start 30123.76221875
transcript.pyannote[4790].end 30183.16221875
transcript.pyannote[4791].speaker SPEAKER_21
transcript.pyannote[4791].start 30183.75284375
transcript.pyannote[4791].end 30184.25909375
transcript.pyannote[4792].speaker SPEAKER_21
transcript.pyannote[4792].start 30185.00159375
transcript.pyannote[4792].end 30208.96409375
transcript.pyannote[4793].speaker SPEAKER_21
transcript.pyannote[4793].start 30209.68971875
transcript.pyannote[4793].end 30211.41096875
transcript.pyannote[4794].speaker SPEAKER_14
transcript.pyannote[4794].start 30211.41096875
transcript.pyannote[4794].end 30211.44471875
transcript.pyannote[4795].speaker SPEAKER_19
transcript.pyannote[4795].start 30212.52471875
transcript.pyannote[4795].end 30340.96034375
transcript.pyannote[4796].speaker SPEAKER_19
transcript.pyannote[4796].start 30341.66909375
transcript.pyannote[4796].end 30348.03096875
transcript.pyannote[4797].speaker SPEAKER_19
transcript.pyannote[4797].start 30349.02659375
transcript.pyannote[4797].end 30447.07034375
transcript.pyannote[4798].speaker SPEAKER_19
transcript.pyannote[4798].start 30448.03221875
transcript.pyannote[4798].end 30449.16284375
transcript.pyannote[4799].speaker SPEAKER_19
transcript.pyannote[4799].start 30450.10784375
transcript.pyannote[4799].end 30459.91221875
transcript.pyannote[4800].speaker SPEAKER_19
transcript.pyannote[4800].start 30460.04721875
transcript.pyannote[4800].end 30461.53221875
transcript.pyannote[4801].speaker SPEAKER_19
transcript.pyannote[4801].start 30461.61659375
transcript.pyannote[4801].end 30465.04221875
transcript.pyannote[4802].speaker SPEAKER_19
transcript.pyannote[4802].start 30465.14346875
transcript.pyannote[4802].end 30465.81846875
transcript.pyannote[4803].speaker SPEAKER_19
transcript.pyannote[4803].start 30466.56096875
transcript.pyannote[4803].end 30466.72971875
transcript.pyannote[4804].speaker SPEAKER_19
transcript.pyannote[4804].start 30466.91534375
transcript.pyannote[4804].end 30468.50159375
transcript.pyannote[4805].speaker SPEAKER_24
transcript.pyannote[4805].start 30468.50159375
transcript.pyannote[4805].end 30468.61971875
transcript.pyannote[4806].speaker SPEAKER_20
transcript.pyannote[4806].start 30471.20159375
transcript.pyannote[4806].end 30529.08284375
transcript.pyannote[4807].speaker SPEAKER_14
transcript.pyannote[4807].start 30530.65221875
transcript.pyannote[4807].end 30532.91346875
transcript.pyannote[4808].speaker SPEAKER_14
transcript.pyannote[4808].start 30533.26784375
transcript.pyannote[4808].end 30533.97659375
transcript.pyannote[4809].speaker SPEAKER_36
transcript.pyannote[4809].start 30533.97659375
transcript.pyannote[4809].end 30536.32221875
transcript.pyannote[4810].speaker SPEAKER_36
transcript.pyannote[4810].start 30536.86221875
transcript.pyannote[4810].end 30540.16971875
transcript.pyannote[4811].speaker SPEAKER_36
transcript.pyannote[4811].start 30540.65909375
transcript.pyannote[4811].end 30543.46034375
transcript.pyannote[4812].speaker SPEAKER_36
transcript.pyannote[4812].start 30543.84846875
transcript.pyannote[4812].end 30545.58659375
transcript.pyannote[4813].speaker SPEAKER_36
transcript.pyannote[4813].start 30546.00846875
transcript.pyannote[4813].end 30550.83471875
transcript.pyannote[4814].speaker SPEAKER_36
transcript.pyannote[4814].start 30551.49284375
transcript.pyannote[4814].end 30555.27284375
transcript.pyannote[4815].speaker SPEAKER_36
transcript.pyannote[4815].start 30555.76221875
transcript.pyannote[4815].end 30558.64784375
transcript.pyannote[4816].speaker SPEAKER_36
transcript.pyannote[4816].start 30559.50846875
transcript.pyannote[4816].end 30568.60409375
transcript.pyannote[4817].speaker SPEAKER_36
transcript.pyannote[4817].start 30568.78971875
transcript.pyannote[4817].end 30570.20721875
transcript.pyannote[4818].speaker SPEAKER_11
transcript.pyannote[4818].start 30570.20721875
transcript.pyannote[4818].end 30570.27471875
transcript.pyannote[4819].speaker SPEAKER_36
transcript.pyannote[4819].start 30570.83159375
transcript.pyannote[4819].end 30570.96659375
transcript.pyannote[4820].speaker SPEAKER_11
transcript.pyannote[4820].start 30570.96659375
transcript.pyannote[4820].end 30577.02471875
transcript.pyannote[4821].speaker SPEAKER_36
transcript.pyannote[4821].start 30577.02471875
transcript.pyannote[4821].end 30586.42409375
transcript.pyannote[4822].speaker SPEAKER_36
transcript.pyannote[4822].start 30586.49159375
transcript.pyannote[4822].end 30596.21159375
transcript.pyannote[4823].speaker SPEAKER_36
transcript.pyannote[4823].start 30596.34659375
transcript.pyannote[4823].end 30598.50659375
transcript.pyannote[4824].speaker SPEAKER_36
transcript.pyannote[4824].start 30598.97909375
transcript.pyannote[4824].end 30599.75534375
transcript.pyannote[4825].speaker SPEAKER_36
transcript.pyannote[4825].start 30600.31221875
transcript.pyannote[4825].end 30602.89409375
transcript.pyannote[4826].speaker SPEAKER_36
transcript.pyannote[4826].start 30602.96159375
transcript.pyannote[4826].end 30604.19346875
transcript.pyannote[4827].speaker SPEAKER_36
transcript.pyannote[4827].start 30604.49721875
transcript.pyannote[4827].end 30622.89096875
transcript.pyannote[4828].speaker SPEAKER_14
transcript.pyannote[4828].start 30624.10596875
transcript.pyannote[4828].end 30627.12659375
transcript.pyannote[4829].speaker SPEAKER_19
transcript.pyannote[4829].start 30625.69221875
transcript.pyannote[4829].end 30626.75534375
transcript.pyannote[4830].speaker SPEAKER_19
transcript.pyannote[4830].start 30627.12659375
transcript.pyannote[4830].end 30666.02346875
transcript.pyannote[4831].speaker SPEAKER_14
transcript.pyannote[4831].start 30627.46409375
transcript.pyannote[4831].end 30627.76784375
transcript.pyannote[4832].speaker SPEAKER_19
transcript.pyannote[4832].start 30666.42846875
transcript.pyannote[4832].end 30677.80221875
transcript.pyannote[4833].speaker SPEAKER_19
transcript.pyannote[4833].start 30678.34221875
transcript.pyannote[4833].end 30684.34971875
transcript.pyannote[4834].speaker SPEAKER_14
transcript.pyannote[4834].start 30684.97409375
transcript.pyannote[4834].end 30685.88534375
transcript.pyannote[4835].speaker SPEAKER_14
transcript.pyannote[4835].start 30686.64471875
transcript.pyannote[4835].end 30690.99846875
transcript.pyannote[4836].speaker SPEAKER_14
transcript.pyannote[4836].start 30691.57221875
transcript.pyannote[4836].end 30695.94284375
transcript.pyannote[4837].speaker SPEAKER_14
transcript.pyannote[4837].start 30696.07784375
transcript.pyannote[4837].end 30698.03534375
transcript.pyannote[4838].speaker SPEAKER_14
transcript.pyannote[4838].start 30698.60909375
transcript.pyannote[4838].end 30699.21659375
transcript.pyannote[4839].speaker SPEAKER_14
transcript.pyannote[4839].start 30700.22909375
transcript.pyannote[4839].end 30705.44346875
transcript.pyannote[4840].speaker SPEAKER_14
transcript.pyannote[4840].start 30705.89909375
transcript.pyannote[4840].end 30707.02971875
transcript.pyannote[4841].speaker SPEAKER_14
transcript.pyannote[4841].start 30707.08034375
transcript.pyannote[4841].end 30718.35284375
transcript.pyannote[4842].speaker SPEAKER_14
transcript.pyannote[4842].start 30718.63971875
transcript.pyannote[4842].end 30724.91721875
transcript.pyannote[4843].speaker SPEAKER_14
transcript.pyannote[4843].start 30725.67659375
transcript.pyannote[4843].end 30746.02784375
transcript.pyannote[4844].speaker SPEAKER_14
transcript.pyannote[4844].start 30746.41596875
transcript.pyannote[4844].end 30759.13971875
transcript.pyannote[4845].speaker SPEAKER_14
transcript.pyannote[4845].start 30759.19034375
transcript.pyannote[4845].end 30795.92721875
transcript.pyannote[4846].speaker SPEAKER_14
transcript.pyannote[4846].start 30796.23096875
transcript.pyannote[4846].end 30799.80846875
transcript.pyannote[4847].speaker SPEAKER_14
transcript.pyannote[4847].start 30800.04471875
transcript.pyannote[4847].end 30803.30159375
transcript.pyannote[4848].speaker SPEAKER_14
transcript.pyannote[4848].start 30803.53784375
transcript.pyannote[4848].end 30807.09846875
transcript.pyannote[4849].speaker SPEAKER_14
transcript.pyannote[4849].start 30807.62159375
transcript.pyannote[4849].end 30819.31596875
transcript.pyannote[4850].speaker SPEAKER_14
transcript.pyannote[4850].start 30819.77159375
transcript.pyannote[4850].end 30822.70784375
transcript.pyannote[4851].speaker SPEAKER_14
transcript.pyannote[4851].start 30822.97784375
transcript.pyannote[4851].end 30854.31471875
transcript.pyannote[4852].speaker SPEAKER_14
transcript.pyannote[4852].start 30855.00659375
transcript.pyannote[4852].end 30858.93846875
transcript.pyannote[4853].speaker SPEAKER_14
transcript.pyannote[4853].start 30859.59659375
transcript.pyannote[4853].end 30871.15596875
transcript.pyannote[4854].speaker SPEAKER_12
transcript.pyannote[4854].start 30875.10471875
transcript.pyannote[4854].end 30880.97721875
transcript.pyannote[4855].speaker SPEAKER_12
transcript.pyannote[4855].start 30881.29784375
transcript.pyannote[4855].end 30883.76159375
transcript.pyannote[4856].speaker SPEAKER_12
transcript.pyannote[4856].start 30884.08221875
transcript.pyannote[4856].end 30886.86659375
transcript.pyannote[4857].speaker SPEAKER_12
transcript.pyannote[4857].start 30887.13659375
transcript.pyannote[4857].end 30928.29471875
transcript.pyannote[4858].speaker SPEAKER_12
transcript.pyannote[4858].start 30928.39596875
transcript.pyannote[4858].end 30938.01471875
transcript.pyannote[4859].speaker SPEAKER_12
transcript.pyannote[4859].start 30938.25096875
transcript.pyannote[4859].end 30945.89534375
transcript.pyannote[4860].speaker SPEAKER_12
transcript.pyannote[4860].start 30945.96284375
transcript.pyannote[4860].end 30953.48909375
transcript.pyannote[4861].speaker SPEAKER_12
transcript.pyannote[4861].start 30953.94471875
transcript.pyannote[4861].end 30959.58096875
transcript.pyannote[4862].speaker SPEAKER_12
transcript.pyannote[4862].start 30959.80034375
transcript.pyannote[4862].end 30961.99409375
transcript.pyannote[4863].speaker SPEAKER_12
transcript.pyannote[4863].start 30962.23034375
transcript.pyannote[4863].end 30964.72784375
transcript.pyannote[4864].speaker SPEAKER_12
transcript.pyannote[4864].start 30965.11596875
transcript.pyannote[4864].end 30966.04409375
transcript.pyannote[4865].speaker SPEAKER_12
transcript.pyannote[4865].start 30966.98909375
transcript.pyannote[4865].end 30969.23346875
transcript.pyannote[4866].speaker SPEAKER_12
transcript.pyannote[4866].start 30969.63846875
transcript.pyannote[4866].end 30973.40159375
transcript.pyannote[4867].speaker SPEAKER_12
transcript.pyannote[4867].start 30973.73909375
transcript.pyannote[4867].end 30978.26159375
transcript.pyannote[4868].speaker SPEAKER_12
transcript.pyannote[4868].start 30978.63284375
transcript.pyannote[4868].end 30993.55034375
transcript.pyannote[4869].speaker SPEAKER_12
transcript.pyannote[4869].start 30993.63471875
transcript.pyannote[4869].end 31003.84409375
transcript.pyannote[4870].speaker SPEAKER_12
transcript.pyannote[4870].start 31003.92846875
transcript.pyannote[4870].end 31009.93596875
transcript.pyannote[4871].speaker SPEAKER_12
transcript.pyannote[4871].start 31010.20596875
transcript.pyannote[4871].end 31023.03096875
transcript.pyannote[4872].speaker SPEAKER_19
transcript.pyannote[4872].start 31025.46096875
transcript.pyannote[4872].end 31029.03846875
transcript.pyannote[4873].speaker SPEAKER_19
transcript.pyannote[4873].start 31029.12284375
transcript.pyannote[4873].end 31032.21096875
transcript.pyannote[4874].speaker SPEAKER_19
transcript.pyannote[4874].start 31032.76784375
transcript.pyannote[4874].end 31033.74659375
transcript.pyannote[4875].speaker SPEAKER_12
transcript.pyannote[4875].start 31034.67471875
transcript.pyannote[4875].end 31042.58909375
transcript.pyannote[4876].speaker SPEAKER_19
transcript.pyannote[4876].start 31042.74096875
transcript.pyannote[4876].end 31044.54659375
transcript.pyannote[4877].speaker SPEAKER_12
transcript.pyannote[4877].start 31043.04471875
transcript.pyannote[4877].end 31047.06096875
transcript.pyannote[4878].speaker SPEAKER_12
transcript.pyannote[4878].start 31047.17909375
transcript.pyannote[4878].end 31050.35159375
transcript.pyannote[4879].speaker SPEAKER_12
transcript.pyannote[4879].start 31050.70596875
transcript.pyannote[4879].end 31067.73284375
transcript.pyannote[4880].speaker SPEAKER_19
transcript.pyannote[4880].start 31067.24346875
transcript.pyannote[4880].end 31069.16721875
transcript.pyannote[4881].speaker SPEAKER_19
transcript.pyannote[4881].start 31069.58909375
transcript.pyannote[4881].end 31070.36534375
transcript.pyannote[4882].speaker SPEAKER_14
transcript.pyannote[4882].start 31076.23784375
transcript.pyannote[4882].end 31077.38534375
transcript.pyannote[4883].speaker SPEAKER_14
transcript.pyannote[4883].start 31077.50346875
transcript.pyannote[4883].end 31078.46534375
transcript.pyannote[4884].speaker SPEAKER_14
transcript.pyannote[4884].start 31078.76909375
transcript.pyannote[4884].end 31079.22471875
transcript.pyannote[4885].speaker SPEAKER_14
transcript.pyannote[4885].start 31079.69721875
transcript.pyannote[4885].end 31080.22034375
transcript.pyannote[4886].speaker SPEAKER_14
transcript.pyannote[4886].start 31080.62534375
transcript.pyannote[4886].end 31081.01346875
transcript.pyannote[4887].speaker SPEAKER_14
transcript.pyannote[4887].start 31082.56596875
transcript.pyannote[4887].end 31088.64096875
transcript.pyannote[4888].speaker SPEAKER_31
transcript.pyannote[4888].start 31091.64471875
transcript.pyannote[4888].end 31092.06659375
transcript.pyannote[4889].speaker SPEAKER_31
transcript.pyannote[4889].start 31092.31971875
transcript.pyannote[4889].end 31092.35346875
transcript.pyannote[4890].speaker SPEAKER_31
transcript.pyannote[4890].start 31092.38721875
transcript.pyannote[4890].end 31094.42909375
transcript.pyannote[4891].speaker SPEAKER_14
transcript.pyannote[4891].start 31096.28534375
transcript.pyannote[4891].end 31098.04034375
transcript.pyannote[4892].speaker SPEAKER_31
transcript.pyannote[4892].start 31098.42846875
transcript.pyannote[4892].end 31098.61409375
transcript.pyannote[4893].speaker SPEAKER_29
transcript.pyannote[4893].start 31098.61409375
transcript.pyannote[4893].end 31099.39034375
transcript.pyannote[4894].speaker SPEAKER_14
transcript.pyannote[4894].start 31099.39034375
transcript.pyannote[4894].end 31102.20846875
transcript.pyannote[4895].speaker SPEAKER_29
transcript.pyannote[4895].start 31099.45784375
transcript.pyannote[4895].end 31099.50846875
transcript.pyannote[4896].speaker SPEAKER_31
transcript.pyannote[4896].start 31099.50846875
transcript.pyannote[4896].end 31099.66034375
transcript.pyannote[4897].speaker SPEAKER_29
transcript.pyannote[4897].start 31100.16659375
transcript.pyannote[4897].end 31100.55471875
transcript.pyannote[4898].speaker SPEAKER_14
transcript.pyannote[4898].start 31103.87909375
transcript.pyannote[4898].end 31104.60471875
transcript.pyannote[4899].speaker SPEAKER_14
transcript.pyannote[4899].start 31106.64659375
transcript.pyannote[4899].end 31108.92471875
transcript.pyannote[4900].speaker SPEAKER_14
transcript.pyannote[4900].start 31109.41409375
transcript.pyannote[4900].end 31112.19846875
transcript.pyannote[4901].speaker SPEAKER_19
transcript.pyannote[4901].start 31110.27471875
transcript.pyannote[4901].end 31110.57846875
transcript.pyannote[4902].speaker SPEAKER_19
transcript.pyannote[4902].start 31112.19846875
transcript.pyannote[4902].end 31118.91471875
transcript.pyannote[4903].speaker SPEAKER_14
transcript.pyannote[4903].start 31112.21534375
transcript.pyannote[4903].end 31112.97471875
transcript.pyannote[4904].speaker SPEAKER_14
transcript.pyannote[4904].start 31116.51846875
transcript.pyannote[4904].end 31117.07534375
transcript.pyannote[4905].speaker SPEAKER_14
transcript.pyannote[4905].start 31118.15534375
transcript.pyannote[4905].end 31118.45909375
transcript.pyannote[4906].speaker SPEAKER_19
transcript.pyannote[4906].start 31118.98221875
transcript.pyannote[4906].end 31118.99909375
transcript.pyannote[4907].speaker SPEAKER_14
transcript.pyannote[4907].start 31118.99909375
transcript.pyannote[4907].end 31119.25221875
transcript.pyannote[4908].speaker SPEAKER_14
transcript.pyannote[4908].start 31119.62346875
transcript.pyannote[4908].end 31124.61846875
transcript.pyannote[4909].speaker SPEAKER_14
transcript.pyannote[4909].start 31124.68596875
transcript.pyannote[4909].end 31124.97284375
transcript.pyannote[4910].speaker SPEAKER_27
transcript.pyannote[4910].start 31124.97284375
transcript.pyannote[4910].end 31142.32034375
transcript.pyannote[4911].speaker SPEAKER_27
transcript.pyannote[4911].start 31142.89409375
transcript.pyannote[4911].end 31147.09596875
transcript.pyannote[4912].speaker SPEAKER_14
transcript.pyannote[4912].start 31146.75846875
transcript.pyannote[4912].end 31151.70284375
transcript.pyannote[4913].speaker SPEAKER_27
transcript.pyannote[4913].start 31147.90596875
transcript.pyannote[4913].end 31148.91846875
transcript.pyannote[4914].speaker SPEAKER_14
transcript.pyannote[4914].start 31152.14159375
transcript.pyannote[4914].end 31158.87471875
transcript.pyannote[4915].speaker SPEAKER_21
transcript.pyannote[4915].start 31158.87471875
transcript.pyannote[4915].end 31159.02659375
transcript.pyannote[4916].speaker SPEAKER_21
transcript.pyannote[4916].start 31159.44846875
transcript.pyannote[4916].end 31159.83659375
transcript.pyannote[4917].speaker SPEAKER_21
transcript.pyannote[4917].start 31161.43971875
transcript.pyannote[4917].end 31166.97471875
transcript.pyannote[4918].speaker SPEAKER_21
transcript.pyannote[4918].start 31167.73409375
transcript.pyannote[4918].end 31176.61034375
transcript.pyannote[4919].speaker SPEAKER_21
transcript.pyannote[4919].start 31177.48784375
transcript.pyannote[4919].end 31202.12534375
transcript.pyannote[4920].speaker SPEAKER_21
transcript.pyannote[4920].start 31202.71596875
transcript.pyannote[4920].end 31205.43284375
transcript.pyannote[4921].speaker SPEAKER_21
transcript.pyannote[4921].start 31207.28909375
transcript.pyannote[4921].end 31218.73034375
transcript.pyannote[4922].speaker SPEAKER_21
transcript.pyannote[4922].start 31219.18596875
transcript.pyannote[4922].end 31225.10909375
transcript.pyannote[4923].speaker SPEAKER_21
transcript.pyannote[4923].start 31225.34534375
transcript.pyannote[4923].end 31232.51721875
transcript.pyannote[4924].speaker SPEAKER_21
transcript.pyannote[4924].start 31233.07409375
transcript.pyannote[4924].end 31234.96409375
transcript.pyannote[4925].speaker SPEAKER_24
transcript.pyannote[4925].start 31233.29346875
transcript.pyannote[4925].end 31235.13284375
transcript.pyannote[4926].speaker SPEAKER_24
transcript.pyannote[4926].start 31235.41971875
transcript.pyannote[4926].end 31235.45346875
transcript.pyannote[4927].speaker SPEAKER_21
transcript.pyannote[4927].start 31235.45346875
transcript.pyannote[4927].end 31238.98034375
transcript.pyannote[4928].speaker SPEAKER_24
transcript.pyannote[4928].start 31235.50409375
transcript.pyannote[4928].end 31237.10721875
transcript.pyannote[4929].speaker SPEAKER_24
transcript.pyannote[4929].start 31237.49534375
transcript.pyannote[4929].end 31237.71471875
transcript.pyannote[4930].speaker SPEAKER_14
transcript.pyannote[4930].start 31242.22034375
transcript.pyannote[4930].end 31244.14409375
transcript.pyannote[4931].speaker SPEAKER_14
transcript.pyannote[4931].start 31246.21971875
transcript.pyannote[4931].end 31247.73846875
transcript.pyannote[4932].speaker SPEAKER_14
transcript.pyannote[4932].start 31248.19409375
transcript.pyannote[4932].end 31250.57346875
transcript.pyannote[4933].speaker SPEAKER_14
transcript.pyannote[4933].start 31251.29909375
transcript.pyannote[4933].end 31253.94846875
transcript.pyannote[4934].speaker SPEAKER_14
transcript.pyannote[4934].start 31254.48846875
transcript.pyannote[4934].end 31256.22659375
transcript.pyannote[4935].speaker SPEAKER_27
transcript.pyannote[4935].start 31254.64034375
transcript.pyannote[4935].end 31255.36596875
transcript.pyannote[4936].speaker SPEAKER_27
transcript.pyannote[4936].start 31255.97346875
transcript.pyannote[4936].end 31258.99409375
transcript.pyannote[4937].speaker SPEAKER_19
transcript.pyannote[4937].start 31256.22659375
transcript.pyannote[4937].end 31256.73284375
transcript.pyannote[4938].speaker SPEAKER_14
transcript.pyannote[4938].start 31256.73284375
transcript.pyannote[4938].end 31256.74971875
transcript.pyannote[4939].speaker SPEAKER_19
transcript.pyannote[4939].start 31256.74971875
transcript.pyannote[4939].end 31256.76659375
transcript.pyannote[4940].speaker SPEAKER_14
transcript.pyannote[4940].start 31256.76659375
transcript.pyannote[4940].end 31256.78346875
transcript.pyannote[4941].speaker SPEAKER_19
transcript.pyannote[4941].start 31259.12909375
transcript.pyannote[4941].end 31274.21534375
transcript.pyannote[4942].speaker SPEAKER_19
transcript.pyannote[4942].start 31274.48534375
transcript.pyannote[4942].end 31292.03534375
transcript.pyannote[4943].speaker SPEAKER_19
transcript.pyannote[4943].start 31292.11971875
transcript.pyannote[4943].end 31295.34284375
transcript.pyannote[4944].speaker SPEAKER_19
transcript.pyannote[4944].start 31295.49471875
transcript.pyannote[4944].end 31301.09721875
transcript.pyannote[4945].speaker SPEAKER_14
transcript.pyannote[4945].start 31301.48534375
transcript.pyannote[4945].end 31309.65284375
transcript.pyannote[4946].speaker SPEAKER_14
transcript.pyannote[4946].start 31309.83846875
transcript.pyannote[4946].end 31320.62159375
transcript.pyannote[4947].speaker SPEAKER_33
transcript.pyannote[4947].start 31315.40721875
transcript.pyannote[4947].end 31316.36909375
transcript.pyannote[4948].speaker SPEAKER_14
transcript.pyannote[4948].start 31320.99284375
transcript.pyannote[4948].end 31325.97096875
transcript.pyannote[4949].speaker SPEAKER_27
transcript.pyannote[4949].start 31325.97096875
transcript.pyannote[4949].end 31332.58596875
transcript.pyannote[4950].speaker SPEAKER_14
transcript.pyannote[4950].start 31328.19846875
transcript.pyannote[4950].end 31328.23221875
transcript.pyannote[4951].speaker SPEAKER_32
transcript.pyannote[4951].start 31340.17971875
transcript.pyannote[4951].end 31355.28284375
transcript.pyannote[4952].speaker SPEAKER_32
transcript.pyannote[4952].start 31355.73846875
transcript.pyannote[4952].end 31358.80971875
transcript.pyannote[4953].speaker SPEAKER_32
transcript.pyannote[4953].start 31359.11346875
transcript.pyannote[4953].end 31409.28284375
transcript.pyannote[4954].speaker SPEAKER_14
transcript.pyannote[4954].start 31409.28284375
transcript.pyannote[4954].end 31409.29971875
transcript.pyannote[4955].speaker SPEAKER_32
transcript.pyannote[4955].start 31410.86909375
transcript.pyannote[4955].end 31410.90284375
transcript.pyannote[4956].speaker SPEAKER_14
transcript.pyannote[4956].start 31410.90284375
transcript.pyannote[4956].end 31412.70846875
transcript.pyannote[4957].speaker SPEAKER_14
transcript.pyannote[4957].start 31413.33284375
transcript.pyannote[4957].end 31421.75346875
transcript.pyannote[4958].speaker SPEAKER_14
transcript.pyannote[4958].start 31422.52971875
transcript.pyannote[4958].end 31428.79034375
transcript.pyannote[4959].speaker SPEAKER_14
transcript.pyannote[4959].start 31429.16159375
transcript.pyannote[4959].end 31431.82784375
transcript.pyannote[4960].speaker SPEAKER_14
transcript.pyannote[4960].start 31432.19909375
transcript.pyannote[4960].end 31434.35909375
transcript.pyannote[4961].speaker SPEAKER_14
transcript.pyannote[4961].start 31435.38846875
transcript.pyannote[4961].end 31442.05409375
transcript.pyannote[4962].speaker SPEAKER_14
transcript.pyannote[4962].start 31442.57721875
transcript.pyannote[4962].end 31443.15096875
transcript.pyannote[4963].speaker SPEAKER_14
transcript.pyannote[4963].start 31443.64034375
transcript.pyannote[4963].end 31444.24784375
transcript.pyannote[4964].speaker SPEAKER_14
transcript.pyannote[4964].start 31444.72034375
transcript.pyannote[4964].end 31445.20971875
transcript.pyannote[4965].speaker SPEAKER_14
transcript.pyannote[4965].start 31445.69909375
transcript.pyannote[4965].end 31447.43721875
transcript.pyannote[4966].speaker SPEAKER_14
transcript.pyannote[4966].start 31449.66471875
transcript.pyannote[4966].end 31450.25534375
transcript.pyannote[4967].speaker SPEAKER_14
transcript.pyannote[4967].start 31451.18346875
transcript.pyannote[4967].end 31452.41534375
transcript.pyannote[4968].speaker SPEAKER_14
transcript.pyannote[4968].start 31454.62596875
transcript.pyannote[4968].end 31456.66784375
transcript.pyannote[4969].speaker SPEAKER_14
transcript.pyannote[4969].start 31457.14034375
transcript.pyannote[4969].end 31458.33846875
transcript.pyannote[4970].speaker SPEAKER_14
transcript.pyannote[4970].start 31458.84471875
transcript.pyannote[4970].end 31459.33409375
transcript.pyannote[4971].speaker SPEAKER_14
transcript.pyannote[4971].start 31460.98784375
transcript.pyannote[4971].end 31461.25784375
transcript.pyannote[4972].speaker SPEAKER_14
transcript.pyannote[4972].start 31462.67534375
transcript.pyannote[4972].end 31463.06346875
transcript.pyannote[4973].speaker SPEAKER_14
transcript.pyannote[4973].start 31466.91096875
transcript.pyannote[4973].end 31467.29909375
transcript.pyannote[4974].speaker SPEAKER_14
transcript.pyannote[4974].start 31467.83909375
transcript.pyannote[4974].end 31471.18034375
transcript.pyannote[4975].speaker SPEAKER_14
transcript.pyannote[4975].start 31471.50096875
transcript.pyannote[4975].end 31483.26284375
transcript.pyannote[4976].speaker SPEAKER_19
transcript.pyannote[4976].start 31483.26284375
transcript.pyannote[4976].end 31484.44409375
transcript.pyannote[4977].speaker SPEAKER_19
transcript.pyannote[4977].start 31484.91659375
transcript.pyannote[4977].end 31500.54284375
transcript.pyannote[4978].speaker SPEAKER_14
transcript.pyannote[4978].start 31500.54284375
transcript.pyannote[4978].end 31506.70221875
transcript.pyannote[4979].speaker SPEAKER_30
transcript.pyannote[4979].start 31505.97659375
transcript.pyannote[4979].end 31507.79909375
transcript.pyannote[4980].speaker SPEAKER_14
transcript.pyannote[4980].start 31508.92971875
transcript.pyannote[4980].end 31512.30471875
transcript.pyannote[4981].speaker SPEAKER_30
transcript.pyannote[4981].start 31510.39784375
transcript.pyannote[4981].end 31510.41471875
transcript.pyannote[4982].speaker SPEAKER_30
transcript.pyannote[4982].start 31510.46534375
transcript.pyannote[4982].end 31511.00534375
transcript.pyannote[4983].speaker SPEAKER_14
transcript.pyannote[4983].start 31512.32159375
transcript.pyannote[4983].end 31512.35534375
transcript.pyannote[4984].speaker SPEAKER_14
transcript.pyannote[4984].start 31512.40596875
transcript.pyannote[4984].end 31515.15659375
transcript.pyannote[4985].speaker SPEAKER_30
transcript.pyannote[4985].start 31513.35096875
transcript.pyannote[4985].end 31513.40159375
transcript.pyannote[4986].speaker SPEAKER_31
transcript.pyannote[4986].start 31513.40159375
transcript.pyannote[4986].end 31513.72221875
transcript.pyannote[4987].speaker SPEAKER_31
transcript.pyannote[4987].start 31515.15659375
transcript.pyannote[4987].end 31515.17346875
transcript.pyannote[4988].speaker SPEAKER_31
transcript.pyannote[4988].start 31515.74721875
transcript.pyannote[4988].end 31516.96221875
transcript.pyannote[4989].speaker SPEAKER_31
transcript.pyannote[4989].start 31517.58659375
transcript.pyannote[4989].end 31521.94034375
transcript.pyannote[4990].speaker SPEAKER_31
transcript.pyannote[4990].start 31522.54784375
transcript.pyannote[4990].end 31526.68221875
transcript.pyannote[4991].speaker SPEAKER_31
transcript.pyannote[4991].start 31527.34034375
transcript.pyannote[4991].end 31529.97284375
transcript.pyannote[4992].speaker SPEAKER_31
transcript.pyannote[4992].start 31531.55909375
transcript.pyannote[4992].end 31531.57596875
transcript.pyannote[4993].speaker SPEAKER_14
transcript.pyannote[4993].start 31531.57596875
transcript.pyannote[4993].end 31538.89971875
transcript.pyannote[4994].speaker SPEAKER_14
transcript.pyannote[4994].start 31539.52409375
transcript.pyannote[4994].end 31539.96284375
transcript.pyannote[4995].speaker SPEAKER_30
transcript.pyannote[4995].start 31541.29596875
transcript.pyannote[4995].end 31541.92034375
transcript.pyannote[4996].speaker SPEAKER_14
transcript.pyannote[4996].start 31542.74721875
transcript.pyannote[4996].end 31545.68346875
transcript.pyannote[4997].speaker SPEAKER_14
transcript.pyannote[4997].start 31546.45971875
transcript.pyannote[4997].end 31547.03346875
transcript.pyannote[4998].speaker SPEAKER_19
transcript.pyannote[4998].start 31547.03346875
transcript.pyannote[4998].end 31547.42159375
transcript.pyannote[4999].speaker SPEAKER_14
transcript.pyannote[4999].start 31547.42159375
transcript.pyannote[4999].end 31550.37471875
transcript.pyannote[5000].speaker SPEAKER_19
transcript.pyannote[5000].start 31547.53971875
transcript.pyannote[5000].end 31548.01221875
transcript.pyannote[5001].speaker SPEAKER_19
transcript.pyannote[5001].start 31549.81784375
transcript.pyannote[5001].end 31553.24346875
transcript.pyannote[5002].speaker SPEAKER_19
transcript.pyannote[5002].start 31553.96909375
transcript.pyannote[5002].end 31562.82846875
transcript.pyannote[5003].speaker SPEAKER_19
transcript.pyannote[5003].start 31563.25034375
transcript.pyannote[5003].end 31622.29596875
transcript.pyannote[5004].speaker SPEAKER_19
transcript.pyannote[5004].start 31622.65034375
transcript.pyannote[5004].end 31625.89034375
transcript.pyannote[5005].speaker SPEAKER_14
transcript.pyannote[5005].start 31627.79721875
transcript.pyannote[5005].end 31628.65784375
transcript.pyannote[5006].speaker SPEAKER_14
transcript.pyannote[5006].start 31629.26534375
transcript.pyannote[5006].end 31630.58159375
transcript.pyannote[5007].speaker SPEAKER_14
transcript.pyannote[5007].start 31631.18909375
transcript.pyannote[5007].end 31631.74596875
transcript.pyannote[5008].speaker SPEAKER_14
transcript.pyannote[5008].start 31632.75846875
transcript.pyannote[5008].end 31633.26471875
transcript.pyannote[5009].speaker SPEAKER_14
transcript.pyannote[5009].start 31635.62721875
transcript.pyannote[5009].end 31636.50471875
transcript.pyannote[5010].speaker SPEAKER_19
transcript.pyannote[5010].start 31638.73221875
transcript.pyannote[5010].end 31643.30534375
transcript.pyannote[5011].speaker SPEAKER_14
transcript.pyannote[5011].start 31644.45284375
transcript.pyannote[5011].end 31646.32596875
transcript.pyannote[5012].speaker SPEAKER_19
transcript.pyannote[5012].start 31646.32596875
transcript.pyannote[5012].end 31646.37659375
transcript.pyannote[5013].speaker SPEAKER_14
transcript.pyannote[5013].start 31646.37659375
transcript.pyannote[5013].end 31646.46096875
transcript.pyannote[5014].speaker SPEAKER_19
transcript.pyannote[5014].start 31646.46096875
transcript.pyannote[5014].end 31646.47784375
transcript.pyannote[5015].speaker SPEAKER_14
transcript.pyannote[5015].start 31646.47784375
transcript.pyannote[5015].end 31646.51159375
transcript.pyannote[5016].speaker SPEAKER_19
transcript.pyannote[5016].start 31646.51159375
transcript.pyannote[5016].end 31646.52846875
transcript.pyannote[5017].speaker SPEAKER_14
transcript.pyannote[5017].start 31646.52846875
transcript.pyannote[5017].end 31646.59596875
transcript.pyannote[5018].speaker SPEAKER_19
transcript.pyannote[5018].start 31646.59596875
transcript.pyannote[5018].end 31646.79846875
transcript.pyannote[5019].speaker SPEAKER_14
transcript.pyannote[5019].start 31646.79846875
transcript.pyannote[5019].end 31659.30284375
transcript.pyannote[5020].speaker SPEAKER_31
transcript.pyannote[5020].start 31661.10846875
transcript.pyannote[5020].end 31665.73221875
transcript.pyannote[5021].speaker SPEAKER_31
transcript.pyannote[5021].start 31666.22159375
transcript.pyannote[5021].end 31667.62221875
transcript.pyannote[5022].speaker SPEAKER_31
transcript.pyannote[5022].start 31668.02721875
transcript.pyannote[5022].end 31669.32659375
transcript.pyannote[5023].speaker SPEAKER_31
transcript.pyannote[5023].start 31670.01846875
transcript.pyannote[5023].end 31675.19909375
transcript.pyannote[5024].speaker SPEAKER_31
transcript.pyannote[5024].start 31676.02596875
transcript.pyannote[5024].end 31677.30846875
transcript.pyannote[5025].speaker SPEAKER_31
transcript.pyannote[5025].start 31677.74721875
transcript.pyannote[5025].end 31679.40096875
transcript.pyannote[5026].speaker SPEAKER_31
transcript.pyannote[5026].start 31679.95784375
transcript.pyannote[5026].end 31680.54846875
transcript.pyannote[5027].speaker SPEAKER_31
transcript.pyannote[5027].start 31680.78471875
transcript.pyannote[5027].end 31681.42596875
transcript.pyannote[5028].speaker SPEAKER_31
transcript.pyannote[5028].start 31682.43846875
transcript.pyannote[5028].end 31685.00346875
transcript.pyannote[5029].speaker SPEAKER_31
transcript.pyannote[5029].start 31685.37471875
transcript.pyannote[5029].end 31687.16346875
transcript.pyannote[5030].speaker SPEAKER_31
transcript.pyannote[5030].start 31687.60221875
transcript.pyannote[5030].end 31689.15471875
transcript.pyannote[5031].speaker SPEAKER_31
transcript.pyannote[5031].start 31690.18409375
transcript.pyannote[5031].end 31692.41159375
transcript.pyannote[5032].speaker SPEAKER_31
transcript.pyannote[5032].start 31694.40284375
transcript.pyannote[5032].end 31695.78659375
transcript.pyannote[5033].speaker SPEAKER_31
transcript.pyannote[5033].start 31696.32659375
transcript.pyannote[5033].end 31701.13596875
transcript.pyannote[5034].speaker SPEAKER_31
transcript.pyannote[5034].start 31701.57471875
transcript.pyannote[5034].end 31705.96221875
transcript.pyannote[5035].speaker SPEAKER_31
transcript.pyannote[5035].start 31706.33346875
transcript.pyannote[5035].end 31709.33721875
transcript.pyannote[5036].speaker SPEAKER_31
transcript.pyannote[5036].start 31709.84346875
transcript.pyannote[5036].end 31712.34096875
transcript.pyannote[5037].speaker SPEAKER_31
transcript.pyannote[5037].start 31712.84721875
transcript.pyannote[5037].end 31713.45471875
transcript.pyannote[5038].speaker SPEAKER_31
transcript.pyannote[5038].start 31713.84284375
transcript.pyannote[5038].end 31714.80471875
transcript.pyannote[5039].speaker SPEAKER_31
transcript.pyannote[5039].start 31715.46284375
transcript.pyannote[5039].end 31717.35284375
transcript.pyannote[5040].speaker SPEAKER_31
transcript.pyannote[5040].start 31717.43721875
transcript.pyannote[5040].end 31720.22159375
transcript.pyannote[5041].speaker SPEAKER_14
transcript.pyannote[5041].start 31720.22159375
transcript.pyannote[5041].end 31720.27221875
transcript.pyannote[5042].speaker SPEAKER_31
transcript.pyannote[5042].start 31721.41971875
transcript.pyannote[5042].end 31721.45346875
transcript.pyannote[5043].speaker SPEAKER_14
transcript.pyannote[5043].start 31721.45346875
transcript.pyannote[5043].end 31730.97096875
transcript.pyannote[5044].speaker SPEAKER_14
transcript.pyannote[5044].start 31731.19034375
transcript.pyannote[5044].end 31746.71534375
transcript.pyannote[5045].speaker SPEAKER_14
transcript.pyannote[5045].start 31747.30596875
transcript.pyannote[5045].end 31759.75971875
transcript.pyannote[5046].speaker SPEAKER_14
transcript.pyannote[5046].start 31759.91159375
transcript.pyannote[5046].end 31764.83909375
transcript.pyannote[5047].speaker SPEAKER_33
transcript.pyannote[5047].start 31766.40846875
transcript.pyannote[5047].end 31766.52659375
transcript.pyannote[5048].speaker SPEAKER_33
transcript.pyannote[5048].start 31766.96534375
transcript.pyannote[5048].end 31769.76659375
transcript.pyannote[5049].speaker SPEAKER_33
transcript.pyannote[5049].start 31770.32346875
transcript.pyannote[5049].end 31771.47096875
transcript.pyannote[5050].speaker SPEAKER_30
transcript.pyannote[5050].start 31771.38659375
transcript.pyannote[5050].end 31776.02721875
transcript.whisperx[0].start 1332.5
transcript.whisperx[0].end 1362.056
transcript.whisperx[0].text 二、審查客家委員會及所屬部分。三、繼續審查客家委員會及所屬部分。二、審查客家委員會及所屬部分。三、繼續審查客家委員會及所屬部分。二、審查客家委員會及所屬部分。二、審查客家委員會及所屬部分。二、審查客家委員會及所屬部分。二、審查客家委員會及所屬部分。二、審查客家委員會及所屬部分。二、審查客家委員會及所屬部分。二、審查客家委員會及所屬部分。二、審查客家委員會及所屬部分。二、審查客家委員會及所屬部分。二、審查客家委員會及所屬
transcript.whisperx[1].start 2476.476
transcript.whisperx[1].end 2491.847
transcript.whisperx[1].text 好請主秘報告出席人數報告委員會出席委員12人以主法定人數好現在開會進行報告事項請宣讀第17第18次會議議事錄
transcript.whisperx[2].start 2495.936
transcript.whisperx[2].end 2500.719
transcript.whisperx[2].text 立法院第11屆第2會期內政委員會第17次全體委員會議一事錄時間113年12月18日星期三13時48分至18時17分地點紅龍202會議室出席委員蘇巧慧委員等14人列席委員王逸川委員等44人
transcript.whisperx[3].start 2513.627
transcript.whisperx[3].end 2531.221
transcript.whisperx[3].text 列席人員、行政院秘書長、公民心機相關人員。未向主席報告並未經主席同意擅自離開會議室、備訓時不在場,直至會議結束未回會議室。主席徐昭吉委員新寧報告事項宣讀本會第15次及第16次全體委員會議一事錄,決定確定
transcript.whisperx[4].start 2532.522
transcript.whisperx[4].end 2546.687
transcript.whisperx[4].text 討論事項、審查114年度中央政府總預算案關於行政院部分委員張志倫等11人提出質詢。列席人員未向主席報告並未經主席同意三次離開會議室,被詢時不在場,直至會議結束未回會議室。
transcript.whisperx[5].start 2548.467
transcript.whisperx[5].end 2574.545
transcript.whisperx[5].text 決議一登基發言委員除不在場者外其餘均已發言完畢。二、委員徐新銘、高金素梅、丁學忠、黃建斌所提書面質詢列入記錄刊登公報。三、書面質詢部分請相關機關於一周內以書面答覆並複製本會。四、討論事項所列之預算審查。相關預算提案請於113年12月27日星期五中午10時前送至立法院內政委員會通過譴責案等二案。宣讀完畢。
transcript.whisperx[6].start 2579.318
transcript.whisperx[6].end 2581.259
transcript.whisperx[6].text 立法院第11屆第2會期內政委員會第18次全體委員會議一事錄。時間113年12月23日星期一9時17分至15時42分。113年12月25日星期三9時7分至11時37分。
transcript.whisperx[7].start 2594.867
transcript.whisperx[7].end 2620.743
transcript.whisperx[7].text 地點紅樓202會議室出席委員王美惠委員等14人。內席委員鄭振淺委員等13人。內席官員12月23日內政部部長劉思芳及相關人員。行政院主計總處公務預算處專門委員廖玉琳及相關人員。12月25日內政部部長劉思芳及相關人員。行政院主計總處公務預算處專門委員廖玉琳。主席張昭吉委員洪璐。12月23日報告事項宣讀上次會議議事錄決定暫不確定。
transcript.whisperx[8].start 2623.184
transcript.whisperx[8].end 2652.924
transcript.whisperx[8].text 討論事項一、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。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。決議一、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。
transcript.whisperx[9].start 2653.004
transcript.whisperx[9].end 2658.006
transcript.whisperx[9].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[10].start 2679.136
transcript.whisperx[10].end 2686.379
transcript.whisperx[10].text 第五項消防署及所屬本項通過決議72項請參與。第七項移民署55億4334萬7千元照列本項通過決議23項請參與。二、審查114年度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[11].start 2700.165
transcript.whisperx[11].end 2728.404
transcript.whisperx[11].text 業務總收入業務總支出本期剩餘結繳公庫金額轉投資計劃固定資產建設改良擴充公庫增播基金額補辦預算儲物列數外其餘均照列通過決議17項請參閱。三、審查114年度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依新住民發展基金基金來源基金用途本期剩餘結繳公庫補辦預算儲物列數外其餘均照列通過決議二項
transcript.whisperx[12].start 2729.565
transcript.whisperx[12].end 2729.811
transcript.whisperx[12].text 午10時至午10時至午10時至午10時至午。
transcript.whisperx[13].start 2730.56
transcript.whisperx[13].end 2758.172
transcript.whisperx[13].text 二、國土永續發展基金基金來源基金用途本期短促結繳公庫不辦預算除列書外其餘均照列通過決議三項。四、114年度中央政府總預算案關於國土管理署及所屬移民署審查完略拟據審查報告函送財政委員會提報院會。五、114年度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審查完略拟據審查報告函送財政委員會提報院會。
transcript.whisperx[14].start 2759.853
transcript.whisperx[14].end 2778.08
transcript.whisperx[14].text 六、114年度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審查完略。倪俊審查報告函送財政委員會提報院會。七、本會負責審查之114年度中央政府總預算案附屬單位非營業部分
transcript.whisperx[15].start 2778.82
transcript.whisperx[15].end 2779
transcript.whisperx[15].text 11時30分進行祕密會議。
transcript.whisperx[16].start 2806.77
transcript.whisperx[16].end 2820.518
transcript.whisperx[16].text 決議一、審查114年度中央政府總預算案關於內政部警政署及所屬消防署及所屬稅出部分第三項警政署及所屬三百二十八億九千四百六十七萬三千元照列本項通過決議三項請參院
transcript.whisperx[17].start 2822.699
transcript.whisperx[17].end 2840.614
transcript.whisperx[17].text 第五項消防署及所屬57億2146萬9千元照列本項通過決議一項請參與。二、114年度中央政府總預算案關於內政部警政署及所屬消防署及所屬審查完略拟據審查報告函送財政委員會提報院會宣讀完畢。好,請問各位同仁第17、第18次會議議事錄有無錯誤?
transcript.whisperx[18].start 2854.741
transcript.whisperx[18].end 2856.382
transcript.whisperx[18].text 好那請李博義委員主席很高興看到你今天精神很好準備來開會
transcript.whisperx[19].start 2879.076
transcript.whisperx[19].end 2889.445
transcript.whisperx[19].text 今天是客委會的預算詢答其實客委會應該是排在12月19號上個禮拜四的預算詢答但是上個禮拜發生的一些狀況必須要在這邊重複說明一下12月16號
transcript.whisperx[20].start 2900.578
transcript.whisperx[20].end 2915.051
transcript.whisperx[20].text 的議事錄裡面沒有民進黨所有的委員12月16號民進黨所有的委員被左邊這個門關住了後面被國民黨其他委員會的委員門擋住了進不來進不來開會不給我們進來開會12月18號
transcript.whisperx[21].start 2920.756
transcript.whisperx[21].end 2941.395
transcript.whisperx[21].text 12月19日也都沒有辦法開成會的原因包含還是排列選罷法包含還是排列還是由19號主席說身體不適那由國民黨黃建斌委員直接要坐上主席台但是我們根據
transcript.whisperx[22].start 2943.971
transcript.whisperx[22].end 2964.537
transcript.whisperx[22].text 我們的召委的輪值辦法第4條輪值召委不客出席的時候得商請另一名召集委員對到代理當天張宏祿委員張宏祿召委願意代理之後再交由黃建斌委員主持但是也沒有辦法得到同意所以連續兩天的會議包含今天的會議議事錄裡面
transcript.whisperx[23].start 2967.358
transcript.whisperx[23].end 2980.206
transcript.whisperx[23].text 行政院秘書長龔明新等人擅自離開會議室其實這個也是不對的當天的狀況是這樣子當天狀況是等到我們從一早來8點多就來等到下午2點的時候
transcript.whisperx[24].start 2982.513
transcript.whisperx[24].end 3005.357
transcript.whisperx[24].text 會議的狀況你看這個螢幕現在還是程序發言當天的會議的狀況是會議尚未開始那會議尚未開始韓院長又要召開這個黨團協商所以內政委員會的委員們必須再到韓院長的黨團協商那這個時候我們誰知道會議偷偷開始了禮拜一不給我們進來開會禮拜三會議偷偷開始開會
transcript.whisperx[25].start 3010.658
transcript.whisperx[25].end 3025.329
transcript.whisperx[25].text 然後今天要確認這個議事錄所以我們沒有辦法確認這個會議議事錄有兩天沒有辦法確認第一個就是民進黨委員完全沒有辦法簽名開會的一天第二個就是這個民進黨委員參加這個黨團協商之後
transcript.whisperx[26].start 3028.792
transcript.whisperx[26].end 3045.187
transcript.whisperx[26].text 會議偷偷開始我們也不得而知會議開始要去譴責行政院秘書長這兩個會議議事錄我們覺得沒有辦法確認所以我們在這邊也必須要來提案針對12月16號的提案我們民進黨團有一個提案等一下一起來提出謝謝好謝謝李博義委員本席先回應首先第一個
transcript.whisperx[27].start 3053.291
transcript.whisperx[27].end 3053.571
transcript.whisperx[27].text 2月12日
transcript.whisperx[28].start 3079.459
transcript.whisperx[28].end 3098.317
transcript.whisperx[28].text 12月19日召委的代理辦法。這個在我們選召委的時候都定義的非常清楚。我們議事人員也都非常清楚知道這個召委的代理是沒有問題的。民進黨又再次顯示干擾議事不讓會議進行。這個
transcript.whisperx[29].start 3102.403
transcript.whisperx[29].end 3125.815
transcript.whisperx[29].text 我們也要在這邊特別說明清楚包括其他委員會包括民進黨的召委如果不能主持會議也是指定代理就可以來主持那我們很遺憾那一次本席確實是因為身體稍有不適所以請黃建斌委員代為主持但是很
transcript.whisperx[30].start 3127.176
transcript.whisperx[30].end 3131.557
transcript.whisperx[30].text 12月18日沒有偷偷開會。本期在13點48分當天會議結束前有在議場宣告延長會議,所以我們後來
transcript.whisperx[31].start 3154.334
transcript.whisperx[31].end 3172.765
transcript.whisperx[31].text 這個看到欸可以開會了沒有主席台沒被霸佔了但是不在的離開的是民進黨的委員所以這個會議並沒有偷偷這個是公開而且也是有錄影轉播都非常的清楚好接下來好像黃婕委員要發言是吧好請黃婕委員
transcript.whisperx[32].start 3184.69
transcript.whisperx[32].end 3192.992
transcript.whisperx[32].text 好主席在座所有的同仁各位媒體朋友大家早安我還是要針對12月16號跟12月18以及12月19這三天的會議來還原一下這個事實因為我們認為這三天都屬無效會議無效會議違法會議為什麼呢
transcript.whisperx[33].start 3206.335
transcript.whisperx[33].end 3220.286
transcript.whisperx[33].text 回顧一下12月16早上發生什麼事情。剛剛張偉說是因為民進黨委員杯葛所以我們沒有辦法正常開會。大家別忘了當天早上我們民進黨的委員是連進都進不來。進都進不來。不只我們。官員也進不來。
transcript.whisperx[34].start 3225.009
transcript.whisperx[34].end 3225.629
transcript.whisperx[34].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[35].start 3250.171
transcript.whisperx[35].end 3273.161
transcript.whisperx[35].text 我們連會議室都進不來何來杯葛之說呢?我們連簽到都沒有辦法簽到又何來阻擋之說呢?所以我再次要強調16月16號當天屬於無效的違法會議這也是立法院史上破天荒第一次沒有辦法讓委員進到會議室來連簽到都沒辦法簽到就說這樣的開會算數
transcript.whisperx[36].start 3279.402
transcript.whisperx[36].end 3306.374
transcript.whisperx[36].text 請問這是什麼極權國家才會出現的會議狀況自導自演的假開會所以拜託12月16號這種封鎖國會的現象不要在立法院再次上演也希望大家認同我相信所有的民眾在看也都認為說當天的會議怎麼會算數呢甚至我看很多網友都還說他們連開班會都還比我們有秩序
transcript.whisperx[37].start 3307.352
transcript.whisperx[37].end 3308.334
transcript.whisperx[37].text 連開學生的會議、開區選會都比我們了解議事規則就因為國民黨的委員
transcript.whisperx[38].start 3315.748
transcript.whisperx[38].end 3339.719
transcript.whisperx[38].text 不了解議事規則,把立法院應該是大家的典範的一個會議現場搞到如此這般的田地,其實也蠻丟臉的。所以希望大家必須要知道12月16號這樣的惡例絕對不能讓它發生。萬一這樣子的例子一開,未來是不是我們只要一群人手牽手躲在角落告訴大家我們來開始開會了。
transcript.whisperx[39].start 3341.42
transcript.whisperx[39].end 3342.441
transcript.whisperx[39].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[40].start 3361.734
transcript.whisperx[40].end 3382.028
transcript.whisperx[40].text 讓我們內政委員會變成是八個委員會裡面進度最慢直到現在都還沒有進行客委會的詢答怎麼會進度這麼慢?大家有問說我們交委不是也是客家鄉親出身嗎?不是客家立委的代表嗎?怎麼讓客委會的預算省得這麼慢?
transcript.whisperx[41].start 3383.169
transcript.whisperx[41].end 3401.49
transcript.whisperx[41].text 就是因為在前面多次的排程裡面召委都只排了選罷法都只排了選罷法代表說國民黨始終把政治的議程放在民生的議程之前始終認為這一些為了保護自己的這種選罷法修二
transcript.whisperx[42].start 3402.651
transcript.whisperx[42].end 3403.753
transcript.whisperx[42].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[43].start 3419.085
transcript.whisperx[43].end 3439.101
transcript.whisperx[43].text 讓大家看到這會期選罷法休二卻都還沒有看到客委會的預算被好好審查這就是現在內政委員會的現況我必須要把這些真實的情況讓所有的全國民眾都知道那除了12月16號12月18號大家也不要忘記當天是什麼情況當天
transcript.whisperx[44].start 3442.129
transcript.whisperx[44].end 3459.664
transcript.whisperx[44].text 1時多,距離散會只剩下12分鐘,然後交委帶著一群國民黨的委員進到會議室,吵吵鬧鬧,然後甚至連會議狀態都寫著會議尚未開始,他們又出去了。到了2點,在場的官員跟我們都理應認為
transcript.whisperx[45].start 3461.465
transcript.whisperx[45].end 3478.089
transcript.whisperx[45].text 午10時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至午11時至
transcript.whisperx[46].start 3480.51
transcript.whisperx[46].end 3485.234
transcript.whisperx[46].text 過了兩點,張偉又帶著國民黨的委員偷偷的進到會議室說要開會。這難道不是假開會嗎?為什麼開會需要偷偷摸摸的?在兩點之後會議都已經散會了,才進到會議室來開會。那還怪說,官員怎麼沒有來備詢?因為兩點都散會啦!
transcript.whisperx[47].start 3501.887
transcript.whisperx[47].end 3527.895
transcript.whisperx[47].text 三會之後你才叫官員來備詢你難道是在霸凌公務員嗎要求大家要配合你們加班叫你幾點開會來你就來開會不連開會通知上面寫的都不算數難道是這樣嗎所以12月18號我也主張這是一個無效的違法會議所以拜託大家我們在這邊民進黨委員有一個共同的提案希望等一下可以照這樣的
transcript.whisperx[48].start 3529.295
transcript.whisperx[48].end 3553.311
transcript.whisperx[48].text 提案來通過讓大家知道說12月16號跟12月18號這樣子的惡例包括封鎖國會包括偷偷開會這種情況都不應該在立法院發生絕對不能讓立法院變成史上最丟臉開下最多惡例的一個民主程序好所以希望等一下就可以大家來認同這樣的議事錄不予確認謝謝
transcript.whisperx[49].start 3558.601
transcript.whisperx[49].end 3572.589
transcript.whisperx[49].text 好謝謝黃捷委員本席也要在這邊回應很多事情凡事都有前因跟後果黃捷委員講的全部是講那個結果他沒有講這個前因什麼是前因
transcript.whisperx[50].start 3573.65
transcript.whisperx[50].end 3599.155
transcript.whisperx[50].text 我們的會議一再的被干擾選罷法只要有召委牌民進黨就是杯葛所以不要忽略這點不要忽略這點這個選罷法上個會期兩次完全沒有開成那這個會期從第一次也就被杯葛沒有辦法開成嘛所以這個意識要往前
transcript.whisperx[51].start 3600.322
transcript.whisperx[51].end 3601.683
transcript.whisperx[51].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[52].start 3619.493
transcript.whisperx[52].end 3644.502
transcript.whisperx[52].text 這個會期本席一定要再次強調前面是因為行政院的預算還沒有附委所以我們開了一些法案各方面的審查那行政院的這個預算附委之後是剛好輪到張宏祿召委輪值所以他先排接著每一周本席都有排預算審查
transcript.whisperx[53].start 3645.302
transcript.whisperx[53].end 3673.325
transcript.whisperx[53].text 我排預算審查但是我們都被干擾被霸佔主席台沒有辦法順利開會所以我們也是想盡辦法本席也覺得很好奇現在立法院立法委員要開會我們還要想盡各種辦法才能開會因為有太多的阻撓跟干擾再來12月18日行政院業務報告預算報告的
transcript.whisperx[54].start 3675.319
transcript.whisperx[54].end 3704.078
transcript.whisperx[54].text 那天我們來到這裡因為前面就是整個會場被霸佔那我們覺得這個確實預算審查各方面尋答我們覺得能開會我們還是要想辦法開會原本定在2點是因為我們覺得順利進行2點以前應該可以結束但是沒想到前面主席台也被霸佔所以我們在一點多回來我們一宣告開始開會
transcript.whisperx[55].start 3706.222
transcript.whisperx[55].end 3731.698
transcript.whisperx[55].text 在場的民進黨委員就開始吵鬧但是錄音都有錄到本席宣告開會然後宣告會議延長所以議事人員他們都是合乎議事規則我們在進行所有我們都合乎議事規則我們也希望民主的程序少數服從多數多數尊重少數不要因為不合自己的意就
transcript.whisperx[56].start 3733.131
transcript.whisperx[56].end 3736.376
transcript.whisperx[56].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[57].start 3753.478
transcript.whisperx[57].end 3777.013
transcript.whisperx[57].text 好謝謝主席今天我們現在在討論是針對第二會期內政委員會第17次的這個議事錄要不要確定所以第17次也就是狀況比較混亂早上主席台北公站然後後來開到延長開會時間那一場那我們就先從這一場會議的本質來做還原那早上這剛我們黃捷委員講說這個班會都比這個立法院有秩序
transcript.whisperx[58].start 3777.393
transcript.whisperx[58].end 3791.394
transcript.whisperx[58].text 這我們倒是不能否認但是我們也必須要強調辦會也沒有政黨政治恐怕也沒有朝野惡鬥辦會的小朋友比較純真應該也不會霸占主席台所以他當然比較有秩序對不對那我們回到回到這場會議的本質
transcript.whisperx[59].start 3794.434
transcript.whisperx[59].end 3813
transcript.whisperx[59].text 早上的時候當然因為霸佔的關係沒有辦法開會其實我們早上的時候我們都非常清楚今天就是來開會的只要民進黨願意讓出主席台任何時間我們都會回來開會這是我們一早就講的那當然嘛這個僵局協調也未果這個霸佔的狀況一直持續那當然一點多因為我們希望無論如何這個會議可以順利的進行嘛
transcript.whisperx[60].start 3815.921
transcript.whisperx[60].end 3829.488
transcript.whisperx[60].text 1點48分左右,快要離法定快要散會的前12分鐘。我們做好了決定,我們就要來進行延長開會時間。那場面當然是非常混亂,但是召委在台上的後方,拿著內政委員會的麥克風,1點48分
transcript.whisperx[61].start 3834.59
transcript.whisperx[61].end 3859.444
transcript.whisperx[61].text 17秒應該1點48分13秒這個進來宣布開會那這個東西其實是有在整個的意識系統裡面被清楚的收音現場很多委員可能不見得有聽到但是大家過去以來處理這種爭議的方式基本上就是看看到底有沒有收進這個意識系統的這個聲音裡面這是大家行之有年的規矩那有收到那收到之後當然這個會議就是合法的開始合法的開始之後就是處理所謂的延長開會時間動議當然
transcript.whisperx[62].start 3862.065
transcript.whisperx[62].end 3874.349
transcript.whisperx[62].text 我們在講延長開會時間因為那天場面很混亂我們今天就很客觀來談這件事情場上到處都是噪音可是第一個我們在旁邊我們都非常清楚有聽到趙偉有提出了這樣子因為國民黨團有提了這個動議延長開會時間動議趙偉有提了這個動議進行處理
transcript.whisperx[63].start 3878.49
transcript.whisperx[63].end 3879.431
transcript.whisperx[63].text 午10時至午11時至
transcript.whisperx[64].start 3896.463
transcript.whisperx[64].end 3916.095
transcript.whisperx[64].text 通過之後趙偉才喊了休息這件事情就通通在這個議事系統裡面通通都有非常清楚的錄音那議事人員沒有第一時間做確認的原因我們後面來做確認我也可以在這邊做一個還原當然就是因為會場的狀況非常吵鬧所以他到了隔壁安靜的會議室去重新聽了這樣子的一個聲音之後確定有收到之後所以大概在2點15分左右這個會議就變更變成通過了延長開會動議到法定時間的這個12點
transcript.whisperx[65].start 3921.138
transcript.whisperx[65].end 3944.167
transcript.whisperx[65].text 這個事情我想不管是當天的這個議事系統或者是這個議事委員都可以作證那我想包括民進黨委員在內他們自己都可以作證因為大概到了3點多的時候這個我們在外面守議場黃介委員還打開窗戶要我趕快回來開會對不對我當初有大聲的回應我說只要你們讓出主席的話我一定回來開會這件事情我們都說到做到啊因為大概到了4點鐘的時候當然也許你們去參加協商或什麼的
transcript.whisperx[66].start 3945.327
transcript.whisperx[66].end 3966.815
transcript.whisperx[66].text 有的時候大家會議撞期的時候本來就可以自己決定要參加哪一場這個是立法院的常態但是如果你們既然離開了你們只要離開主席台我們也不能失信於人所以在4點的時候我們就回來繼續進行這場法定會議的程序今天為了趕快不要耽誤客委會預算的審查我們就先不追究行政院秘書長為什麼可以擅自離席或者是自己離開這個我們後面再說但是我想
transcript.whisperx[67].start 3968.016
transcript.whisperx[67].end 3980.509
transcript.whisperx[67].text 從議事紀錄還有當天狀況的一些還原包含委員彼此之間的一些互動都可以再再的證明17次的會議因素有效所以我們希望這個會議錄可以合法的來進行確認以上謝謝好謝謝那我們是不是就確認議事錄請張宏祿委員 張昭偉
transcript.whisperx[68].start 3997.028
transcript.whisperx[68].end 4022.206
transcript.whisperx[68].text 啊,召委各位委員,其實啊我們也不是像小學生啦那我們啊齁我覺得我們也可以跟小學生學習啦齁我只有一個就是說啊齁在上次的這個會議當中啊我們很多的委員都有來但是沒有辦法簽到在會議這個議事錄裡面上面登記的是沒有來開會
transcript.whisperx[69].start 4024.207
transcript.whisperx[69].end 4034.751
transcript.whisperx[69].text 但這一點如果我們在學校這是要被激況課欸但我們確實有要進教室沒有辦法進去欸我覺得不管醫事工房或怎麼樣我覺得這一點
transcript.whisperx[70].start 4036.348
transcript.whisperx[70].end 4043.691
transcript.whisperx[70].text 我們還是必須要處理啊你可能在議事錄上或什麼應該要寫明一下這個這個至少要留下記錄不能說我們的民進黨所有委員那天就是沒有來這邊開會我覺得這一點我們必須要把它處理啦所以這一點我想啊齁這個可能趙偉啊你要確定議事錄之前啊這一點我覺得我們應該把它處理一下
transcript.whisperx[71].start 4068.021
transcript.whisperx[71].end 4070.404
transcript.whisperx[71].text 5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至
transcript.whisperx[72].start 4080.043
transcript.whisperx[72].end 4103.826
transcript.whisperx[72].text 因為張昭偉因為我也都一直有排預算案結果一直不讓我開會不讓我審查我們也是吞下去啊然後還不斷的一直在媒體還包括剛剛黃姐委員都說我不排預算其實我都排排了我都幾次不能審啊我一次又一次不能審查昭偉昭偉
transcript.whisperx[73].start 4105.988
transcript.whisperx[73].end 4128.093
transcript.whisperx[73].text 我覺得啦我覺得啦吼這一個我剛已經說了吼各有立場吼好不好但我覺得這一個大家有來吼我們就像去學校啊我有來上課你被寄的礦課那個這個你的抄信你的什麼成績就就不對了啊啊但是事實是有來啊沒有辦法進來這個也是事實
transcript.whisperx[74].start 4129.913
transcript.whisperx[74].end 4143.597
transcript.whisperx[74].text 我們要在那個議事錄裡面是不是也要把他這個寫一下看怎麼委員或是要怎麼寫至少要留下一個紀錄才不會對有來開會的委員這點有點不公平我覺得這個是我們內政委員會
transcript.whisperx[75].start 4147.939
transcript.whisperx[75].end 4163.489
transcript.whisperx[75].text 應該也要替所有內政的委員這個他的權利我覺得我們應該也要去兼顧我覺得我如果是召委如果遇到這種事情我也會兼顧其他的委員的一個權利不能讓他留下一輩子的紀錄就變這樣
transcript.whisperx[76].start 4168.442
transcript.whisperx[76].end 4189.036
transcript.whisperx[76].text 好呃我想不管是當天的轉播或公報都有一些記錄了那立法院各式各樣的政治攻防這個對的不是不是所以我的意思就是說這個立法院的政治攻防本席這個不是本席的權責我接著請高金素梅委員來發言
transcript.whisperx[77].start 4194.614
transcript.whisperx[77].end 4209.227
transcript.whisperx[77].text 實際上我本來不太想發言的但是呢我認為就是說在立法院這麼長久以來如果大家記得上個會期我排法案的時候兩次都不讓我們上去主持會議你們還把大門關起來
transcript.whisperx[78].start 4211.048
transcript.whisperx[78].end 4232.791
transcript.whisperx[78].text 這也是都有的事情啊那剛剛那個張昭偉說你擔心這個議事錄上面沒有你的名字簽到其實呢我們都清楚知道內政委員會就在紅樓的幾樓如果你早上沒有辦法開會的話你5點以前只要去簽到那邊就有您的名字存在了
transcript.whisperx[79].start 4233.411
transcript.whisperx[79].end 4262.083
transcript.whisperx[79].text 所以我覺得這個張宏祿委員張召委我們都是比較資深一點的委員你應該都知道嘛有一些如果是早上沒有辦法來開會的話我們還是可以到內政委員會裡面去拿那張單子來簽名表示你已經有報到了第二是當天的情況透過全國的媒體大家都清楚知道議場裡面發生了什麼事情有沒有人在推擠有沒有人在幹嘛我相信媒體都看得一清二楚
transcript.whisperx[80].start 4262.563
transcript.whisperx[80].end 4264.023
transcript.whisperx[80].text 上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至
transcript.whisperx[81].start 4297.971
transcript.whisperx[81].end 4314.681
transcript.whisperx[81].text 這個大家都知道議事的程序啦,高金委講的也是沒有錯,但那一天我們如果要去補簽到的話,那一天他的會議已經是結束了,他是會議結束了,所以你會議結束我們去,那一天的情況是比較特殊啦,所以我才會這樣講,謝謝。
transcript.whisperx[82].start 4318.416
transcript.whisperx[82].end 4329.808
transcript.whisperx[82].text 對對那天真的很特殊只要碰到選罷法我們內政委員會都很特殊所以我們現在是不是就來確認議事錄這邊當然我們也可以先確認一下民進黨委員有一個動議那我們是不是請議事人員先宣讀
transcript.whisperx[83].start 4342.649
transcript.whisperx[83].end 4357.636
transcript.whisperx[83].text 針對12月16日中國國民黨立法委員為剝奪人民罷免權之公職人員選舉罷免法修正,竟違法阻止其他立法委員列席行政官員及大眾傳播媒體進入會議室,違反公開舉行會議規定,剝奪其他立法委員就審查議案進行大體討論,
transcript.whisperx[84].start 4358.55
transcript.whisperx[84].end 4385.759
transcript.whisperx[84].text 主條討論等表達意見提出異議或附議之權利違反立法院職權行使法立法院各委員會組織法及立法院議事規則第4章至第7章所定之開會法定程序。會議無效並應予嚴厲譴責復本院第11屆第2會期內政委員會第17次全體委員會議違反立法院議事規則第27條規定之法定延長會議程序。預議是日程排定時間之會議時為違法無效。然此本次會議議事錄顯有錯誤應不予確定。
transcript.whisperx[85].start 4388.26
transcript.whisperx[85].end 4406.032
transcript.whisperx[85].text 提案人張宏祿、李博毅、王美惠、黃潔、蘇巧、惠吳、齊銘。宣讀完畢。好,請問在座的委員有關民進黨委員的這個提案有沒有意見是否要通過?反對。那我們是不是就不予通過呢?表決。提議表決。那我們就採用舉手表決。採用舉手表。
transcript.whisperx[86].start 4416.834
transcript.whisperx[86].end 4417.855
transcript.whisperx[86].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11
transcript.whisperx[87].start 4438.986
transcript.whisperx[87].end 4454.617
transcript.whisperx[87].text 本席丁學中委員反對、徐宇貞委員反對、張志倫委員反對、牛許廷委員反對、黃建斌委員反對、麥義貞委員反對、高金素美委員反對。贊成者請舉手。
transcript.whisperx[88].start 4456.263
transcript.whisperx[88].end 4475.478
transcript.whisperx[88].text 張宏祿召委贊成黃潔委員贊成王美惠委員贊成蘇巧惠委員贊成李柏毅委員贊成吳祁銘委員贊成反對者多數此案不通過本席想再次確認我們第17、第18次會議議事錄有無錯誤無錯誤我們就議事錄確定
transcript.whisperx[89].start 4483.729
transcript.whisperx[89].end 4508.869
transcript.whisperx[89].text 好接著我們繼續進行討論事項請宣讀一、審查114年度中央政府總預算案關於客家委員會及所屬部分。二、審查客家委員會函送財團法人客家公共傳播基金會114年度預算書案。三、繼續審查114年度中央政府總預算案關於中央選舉委員會及所屬單位預算。宣讀完畢。
transcript.whisperx[90].start 4514.394
transcript.whisperx[90].end 4538.745
transcript.whisperx[90].text 好,那我們首先來介紹在場的委員以及列席的官員。在場有徐宇貞委員、張志倫委員、劉許廷委員、黃建斌委員、麥玉貞委員、高金四美委員、張宏祿昭委、黃婕委員、王美惠委員、蘇巧惠委員、
transcript.whisperx[91].start 4541.51
transcript.whisperx[91].end 4562.07
transcript.whisperx[91].text 好,我們在場列席的官員有客委會的主委谷秀飛主委還有副主委范佐明副主委還有我們各單位的主管本席就不一一介紹那接著還有財團法人客家公共傳播基金會董事長
transcript.whisperx[92].start 4564.794
transcript.whisperx[92].end 4579.898
transcript.whisperx[92].text 陳邦枕董事長以及財團法人公共電視文化事業基金會客家電視台台長向聖岩台長。接著還有行政院主計總處公務預算處的專門委員李易柔專委。現在進行報告請客家委員會股主任委員秀飛報告。
transcript.whisperx[93].start 4601.625
transcript.whisperx[93].end 4623.28
transcript.whisperx[93].text 主席、各位委員、各位朋友、大家安座、大家好。今天我用心收到邀請來列席各位委員會報告114年度本會及所屬客家事務、施政、計劃和預算。希望主席和各位委員的自告和支持,本會任務將做得順利來推動。第二,希望主席及各位委員來表達您們的建議和請求。
transcript.whisperx[94].start 4631.946
transcript.whisperx[94].end 4635.591
transcript.whisperx[94].text 本次會議要落實內政總統的客家六項公共客家、國際客家、飲食客家、餐飲客家、沖繩客家、企業客家政見希望提供、規格、希望工廠的推進
transcript.whisperx[95].start 4648.666
transcript.whisperx[95].end 4674.822
transcript.whisperx[95].text 緊急客家基本法及二年發財法的精神和出權主流發言者。四、繼續複製行業、存用客家文化、推動客家企業發展、強化客家強硬公共參議。五、實施批資政府執念提供運用效益。一、一百二十四年度預算書本以及六十年度預算的精神。
transcript.whisperx[96].start 4677.011
transcript.whisperx[96].end 4685.318
transcript.whisperx[96].text 緊急檢察事理檢討現有的業務:來省監非必要的非正式效益的工作項目:同時來同盤檢討現下實證計劃執行程序。四、國庫醫生執念有效整合發揮最高的效益。114年醫生的辨知前嫌
transcript.whisperx[97].start 4701.977
transcript.whisperx[97].end 4707.699
transcript.whisperx[97].text 緊急時針目標以及預算儲備認證。本會議及所屬114年度稅儲預算中窮變略。市市審議7000均364000元。上告113年度增加市議22278000元。太陽10.7%。
transcript.whisperx[98].start 4726.496
transcript.whisperx[98].end 4733.699
transcript.whisperx[98].text 以下就114年度預算編列情形進行兼容報告請國會委員執政。項目部分114年度編列6,734萬包括批從項目50萬
transcript.whisperx[99].start 4747.915
transcript.whisperx[99].end 4754.619
transcript.whisperx[99].text 考試報名費350萬、重提實施費用230萬、租金數額1300萬及雜控數額8804萬。稅出部分一百二十四年度稅出預算經濟本費市政目標及行政院協定的總長程計劃。
transcript.whisperx[100].start 4770.629
transcript.whisperx[100].end 4789.068
transcript.whisperx[100].text 中央編列73一七千空三十六萬四千元,上告一百一十三年度比告增加十一兩千兩百一十七萬八千元,太陽時的百分之四點七。主要的內容跟增加感受的情況。
transcript.whisperx[101].start 4791.164
transcript.whisperx[101].end 4806.548
transcript.whisperx[101].text 二、建議總統客家政策行政院規格希望工廠及客家基本法鼓勵客家強硬投入沙非服務工作。一、一二三千七百一十一萬八千元攀離客家出權主流化發展計劃。
transcript.whisperx[102].start 4812.87
transcript.whisperx[102].end 4830.468
transcript.whisperx[102].text 正財主流法通指示主流法金幣最高113年度增加6,688萬7千元,它又是增加百分之二十。主要會判理白宮政府贊強勇、空窮勇以及貴既強硬資金富裕。
transcript.whisperx[103].start 4833.208
transcript.whisperx[103].end 4840.19
transcript.whisperx[103].text 四、為了增添客家創新發展基礎,促進客家生涯和公共發展,誘發客家生涯及公共環境,迅速採取文化體制。一、審查新年度編列1119,361萬8千元判例。
transcript.whisperx[104].start 4855.034
transcript.whisperx[104].end 4867.759
transcript.whisperx[104].text 客家重申及返金揚酬計劃。最高113年度增加617,657.8萬元,同時增加30.2%。主要在推動客家審判交流中心政策,部署提供政府經濟客家機密需求,提升公共設施空間品質及機能。第三,經濟行政院客廳
transcript.whisperx[105].start 4884.925
transcript.whisperx[105].end 4905.314
transcript.whisperx[105].text 貴家委員政體發展方案,繼續提升客家使用衣食及六色衣繩法,擴大同行客家使用床位,鼓勵提供政府同民間單位,以客家提供公共服務。114年度編列713,751萬8千元,判例客家委員審測計劃。
transcript.whisperx[106].start 4914.304
transcript.whisperx[106].end 4939.17
transcript.whisperx[106].text 上午113年度增加2,595萬4千元,還有是增加3.6%。主要提升行為與同行為以及行為服務普及法相關措施,協助提供政府累積行為服務能量,強化民主共和意識等相關計劃。
transcript.whisperx[107].start 4941.651
transcript.whisperx[107].end 4964.245
transcript.whisperx[107].text 為了推動賴總統客家6件之公共客家除了增加正式行為高層外延續從事行為醫療同行為營養治療庫同時進行合法屬於對應技術以及行為體育醫療及教學現場的應用內容開發鼓勵國際的條件行為的數位運用
transcript.whisperx[108].start 4972.042
transcript.whisperx[108].end 4984.613
transcript.whisperx[108].text 四、為了年期客家委員會以及提升客家委員會年齡114年度編列31,835萬3千元。三、在客家委員會發展計劃最高113年度增加2,493萬9千元。還有是增加7.9%。主要是因爲條件
transcript.whisperx[109].start 5000.828
transcript.whisperx[109].end 5002.511
transcript.whisperx[109].text 總統的客家政見以及規格、客家發展計劃、鼓勵、強硬、投入、客家存益、傳承。
transcript.whisperx[110].start 5010.687
transcript.whisperx[110].end 5034
transcript.whisperx[110].text 2月11日客家演藝術新力量攀起客家效盛推廣。十、及其代表性的編劇、導演及傑出的客家演藝術工作者,共同來批出代表客家文化的客家客套,推動客家創意用戶的發展。五、肥料特徵
transcript.whisperx[111].start 5038.1
transcript.whisperx[111].end 5047.028
transcript.whisperx[111].text 客家傳播經驗主流私從114年度編列審議一七千四百五十一萬四千元判理客家傳播行事計劃。上個113年度增加一億九千九百九十九萬三千元。
transcript.whisperx[112].start 5056.836
transcript.whisperx[112].end 5064.858
transcript.whisperx[112].text 太陽市增加18.6%。主要是因為內總統的政見國際客家提供導演、議員、導演出權的價值,繼續推動客家社會媒體發展,獎勵部署客家導演、養殖員、女勇參資,協助客家文化、女勇力的再提升,
transcript.whisperx[113].start 5084.226
transcript.whisperx[113].end 5089.59
transcript.whisperx[113].text 即合送一平坦直播客家內容生意提示的樣應節目。建立跨普遍支持體內強化客家文化內容生意發展。建立自創作、製作、審算、行銷等集團的樣式發展體內合作區分客家內容IP。
transcript.whisperx[114].start 5108.022
transcript.whisperx[114].end 5124.921
transcript.whisperx[114].text 之不由則讓私營作品打出國際客流品牌文化現象,讓令客家文化行業注入傳播思想,批示國際客流風潮,提升客家文化能見度。
transcript.whisperx[115].start 5126.554
transcript.whisperx[115].end 5134.257
transcript.whisperx[115].text 六、為了強化客家文化延期財體連結與國際交流114年度編列315798萬6千元攀離客家文化生產接歸
transcript.whisperx[116].start 5143.061
transcript.whisperx[116].end 5147.324
transcript.whisperx[116].text 月期2點幾分,最高113年度增加6.2%。主要判例南北延期建物,實施因應生命主義及公共安全,進行推翻、更新。
transcript.whisperx[117].start 5164.571
transcript.whisperx[117].end 5171.253
transcript.whisperx[117].text 以及託贊客家委員會函送的措施,研究調查、暫時交流以及關機合作。七、為了達到當後的實證目標,協助客家事務推展114年度
transcript.whisperx[118].start 5184.477
transcript.whisperx[118].end 5192.863
transcript.whisperx[118].text 其他基本行政的工作位置、交通運輸設備以及公共建設經費編列31,318,257,000元。最高113年度函收1,030,100,000元。
transcript.whisperx[119].start 5215.918
transcript.whisperx[119].end 5226.363
transcript.whisperx[119].text 最後,本次會議中行政委員會提供各個議員整體發展方案,持續議中各個客家發展計劃、合作的機制,整合各部分職員、分工合作,內同心推動行業創新、復振和發展。
transcript.whisperx[120].start 5238.889
transcript.whisperx[120].end 5243.235
transcript.whisperx[120].text 全面提升國家對客家的認識和審訊,讓出共客有身份金,打出以及獲准負起空用的消費。
transcript.whisperx[121].start 5255.12
transcript.whisperx[121].end 5261.427
transcript.whisperx[121].text 牽扯拜託主席及國會委員現金對本費114年度預算全力支持,預算報告增強國會委員職高並增強繼續支持本費。神門太監暗自私羅勒感謝。
transcript.whisperx[122].start 5275.336
transcript.whisperx[122].end 5290.709
transcript.whisperx[122].text 上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時
transcript.whisperx[123].start 5301.598
transcript.whisperx[123].end 5317.045
transcript.whisperx[123].text 30分截止發言登記。因為今天預算處理本次會議就不處理臨時提案請問各位委員有沒有意見?沒有的話我們接下來就進行詢答請登記第一位的蘇巧慧委員
transcript.whisperx[124].start 5327.998
transcript.whisperx[124].end 5330.919
transcript.whisperx[124].text 好謝謝主席我們請鼓主委好請主委主委好主委好那我想我們這次在研究客委會114年度的年度施政目標的時候看到許多的計畫都跟青年是有相關的那首先我是表示支持我想主委我們在的
transcript.whisperx[125].start 5353.467
transcript.whisperx[125].end 5365.662
transcript.whisperx[125].text 地方很多時候很多場合都看到您親自出席這個客家社團所以我也在地方的時候就直接跟您表示那也很高興獲得你正面同意我認為現在其實最能夠傳承地方客家
transcript.whisperx[126].start 5370.928
transcript.whisperx[126].end 5390.498
transcript.whisperx[126].text 最能夠傳承客家文化的其實是在地的社團而在地的社團當中如果能夠跟青年事務有關係甚至是跟兒童兒少有關係的這種計畫我們都應該要大力支持主委你在現場的時候都表示肯定那今天在備訓台這邊的話你可以再簡單闡述一下你的看法嗎
transcript.whisperx[127].start 5392.178
transcript.whisperx[127].end 5393.239
transcript.whisperx[127].text 感謝委員,沒錯,因為我們一直說客家、客家文化要純純,有純就有純,純一定是年紀是太重皮,純一定是我們年輕人的聲音,所以我們在時政計劃底部
transcript.whisperx[128].start 5411.727
transcript.whisperx[128].end 5417.873
transcript.whisperx[128].text 為針對強硬、按著力的提防也要按捐贈人、兼容的、情緒的部分也要按捐贈。那主委你可不可以具體跟我們說明一下舉例舉例在你的計畫當中在你的編列的預算當中有哪幾項就可以直接跟青年有關係甚至是鼓勵各個社團針對這些來提出方案的
transcript.whisperx[129].start 5436.475
transcript.whisperx[129].end 5439.037
transcript.whisperx[129].text 我們在強言的部分,我們為來潘莉重返客座,就是鼓勵候選的多幾多次的客座提案,安慰候選人都可以,沒有限制他們的內容。
transcript.whisperx[130].start 5456.867
transcript.whisperx[130].end 5458.207
transcript.whisperx[130].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[131].start 5474.333
transcript.whisperx[131].end 5492.409
transcript.whisperx[131].text 上午9時至下午9時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時
transcript.whisperx[132].start 5493.93
transcript.whisperx[132].end 5515.144
transcript.whisperx[132].text 這樣子講下來已經有非常非常多的計劃我也非常的樂見所以第一你把這個計劃看是公告在哪裡因為我是等於是提出一個方向喔我說的是在我們的社團當中以客家社團了因為你也同意最能夠延續這個我們客家文化的其實是地方的熱心社團所以我們同意要給客家社團大力的補助這你同意嘛對不對這第一個目前已經整堆全團了沒錯
transcript.whisperx[133].start 5523.41
transcript.whisperx[133].end 5529.616
transcript.whisperx[133].text 對,您已經這樣說了。很好。而且再進一步而言對於社團裡面願意做青年的你還願意更大力的補助同時又對青年也開了這樣的計畫這些都沒有問題嘛對不對所以第一個麻煩您告訴我們這個正確的資料也告訴我們在客委會這邊哪裡可以比如客委會的網頁上面可以直接看出來這個是我本席對你的第一個要求啦沒有問題吧好主委
transcript.whisperx[134].start 5548.854
transcript.whisperx[134].end 5563.421
transcript.whisperx[134].text 目前會供考的資訊這是第一個沒有問題但第二個我就請教您所以這些計劃都是客委會來製作來編列來把這個計劃構想出來的是客委會沒有錯嘛地方政府有這個
transcript.whisperx[135].start 5567.063
transcript.whisperx[135].end 5571.045
transcript.whisperx[135].text 如果是叫每一個地方政府來做的話這你認為適合嗎?他應該是共同來做但是重點是我們的青年應該是不分全國哪一個縣市他都應該能夠有同樣的資源同樣的機會在同樣的方向之下去得到這些資源我這個概念應該也沒有錯吧
transcript.whisperx[136].start 5595.956
transcript.whisperx[136].end 5598.498
transcript.whisperx[136].text 對全台灣的青年公平的狀態。對全台灣的客庄青年公平。這問題也沒有問題嘛對不對?也沒問題。好那接下來那我就請教主委了。主委你知道我們上個禮拜上上個禮拜剛通過新的財政收支劃分法對不對?好
transcript.whisperx[137].start 5625.48
transcript.whisperx[137].end 5644.47
transcript.whisperx[137].text 財政收支劃分法我們現在如果新法通過執行之後一次會從中央拿走將近3700多億的預算3700多億的預算是一個什麼樣的概念呢以中央部會來講的話最多的其實是國防部4700億那再來就是衛福部跟教育部大概是3700和3600
transcript.whisperx[138].start 5647.432
transcript.whisperx[138].end 5648.734
transcript.whisperx[138].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[139].start 5663.156
transcript.whisperx[139].end 5669.119
transcript.whisperx[139].text 消失的預算,這也沒有問題嗎?對不對?所以主委我的問題是那你客委會受到多少影響?你估算過了沒有?20%喔?
transcript.whisperx[140].start 5684.646
transcript.whisperx[140].end 5686.428
transcript.whisperx[140].text 主委你沒有講我們還不知道影響這麼多那可是我再繼續看下去因為我們自己看
transcript.whisperx[141].start 5701.224
transcript.whisperx[141].end 5722.272
transcript.whisperx[141].text 我們現在新通過的法律還說呢那如果我們的計劃裡面分成一般型計劃一般型的預算跟一般性的預算跟計劃型的預算那一般性的他還說不能夠比前一年少所以看起來能夠影響的就是計劃型的經費囉好那你回到地方政府來看我覺得這有一點可怕
transcript.whisperx[142].start 5724.733
transcript.whisperx[142].end 5737.043
transcript.whisperx[142].text 因為客家委員會所有的計劃型補助都是跟地方型相關的而且我回去看我們新北市政府客家事務局的預算我們114年舉例來講我們的稅務預算是4160萬元可是我們從中央拿到的補助及協助收入是多少是3817萬通通都是來自中央型的補助及協助收入你細看下去
transcript.whisperx[143].start 5754.016
transcript.whisperx[143].end 5769.632
transcript.whisperx[143].text 其實就是全部都是計劃型的預算啊計劃型的補助所以等於114年如果我們按照現在通過的財化法新的財化法來講的話我們九成的預算有可能會受到影響啊主委
transcript.whisperx[144].start 5770.293
transcript.whisperx[144].end 5785.439
transcript.whisperx[144].text 那不要說我們剛剛一開始講的所有全國的青年不應該因為他所在的縣市不同未來得到的補助方式不一樣甚至是連地方政府的預算
transcript.whisperx[145].start 5786.019
transcript.whisperx[145].end 5805.431
transcript.whisperx[145].text 其實看起來都會受到大大的影響我們未來好像看起來多了新北市370億但我們從光是從客委會得到的計畫型補助很有可能就少了很多你剛剛說少三成嘛平均每個縣市如果都公平的少三成那我們不得了我們要怎麼運作啊
transcript.whisperx[146].start 5806.351
transcript.whisperx[146].end 5822.262
transcript.whisperx[146].text 這個是很大的問題,請問你們跟地方政府有討論過了嗎?未來怎麼因應?目前很忙討論,不過人家的百分之一是擺在感受,會感受到同樣的期間,要有的推動,不出提防政府跟沙團都會影響那個全面性的
transcript.whisperx[147].start 5823.743
transcript.whisperx[147].end 5850.821
transcript.whisperx[147].text 各位我覺得這是一個很嚴肅的問題法律通過當然現在立法院就是我們尊重少數服從了多數服從多數通過的法律到底會產生什麼樣的後續影響其實現在正要開始所以我想這個問題既然我們這個上週這個才化法已經這樣通過了現在到底有沒有要附屬有沒有要附議等等那當然還不知道可是
transcript.whisperx[148].start 5851.741
transcript.whisperx[148].end 5852.522
transcript.whisperx[148].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[149].start 5871.755
transcript.whisperx[149].end 5891.551
transcript.whisperx[149].text 配套能夠進行的好。主委,這部分可以吧?你們應該要立即開始進行討論吧?我們要等待行政院有民國的指示以後,我們就要下去跟提防政府下去。主委,加油啦。這是一個很大很大的問題。希望你們要好好討論。好,感謝委員。謝謝。好,謝謝蘇喬惠委員。接下來請張宏祿召委。
transcript.whisperx[150].start 5910.322
transcript.whisperx[150].end 5912.824
transcript.whisperx[150].text 來請主委好請主委總召委主委我們有一個計劃客庄地方創生移居計劃這個也已經施行了兩三年了你個人這一段時間你認為他執行的效果如何
transcript.whisperx[151].start 5935.799
transcript.whisperx[151].end 5939.121
transcript.whisperx[151].text 二、審查客家委員會及所屬部分。三、繼續審查客家委員會及所屬單位預算書案
transcript.whisperx[152].start 5958.695
transcript.whisperx[152].end 5975.674
transcript.whisperx[152].text 議員會議員會議員會議員會議員會議
transcript.whisperx[153].start 5976.092
transcript.whisperx[153].end 5990.279
transcript.whisperx[153].text 它這個有一點暫停有一點這個到底是成效不好還是看不出來希望呢?主要是因為演藝書不流行,所以帶出來的好意其實也有限啦因為全國這樣分散在二、三人的目的所以我們明年要開100個100個名額來本州省的整個都提供
transcript.whisperx[154].start 6004.986
transcript.whisperx[154].end 6005.807
transcript.whisperx[154].text 我個人認為啦吼
transcript.whisperx[155].start 6032.266
transcript.whisperx[155].end 6059.204
transcript.whisperx[155].text 這一個會有這種的感覺是因為都是一個點一個點然後都是獨立的我不知道主委你知不知道其實客家莊啊比如說我們一舉一個台山縣好了上面客家莊也蠻多的對不對我們這個計畫就不能說有一個面一個縣再來一個點嗎
transcript.whisperx[156].start 6061.021
transcript.whisperx[156].end 6062.143
transcript.whisperx[156].text 中央政府總預算案關於客家委員會及所屬部分。
transcript.whisperx[157].start 6075
transcript.whisperx[157].end 6101.121
transcript.whisperx[157].text 主委你知道像國外有那種朝聖者之路有沒有西班牙西班牙西班牙法國這個朝聖者之路吸引全世界很多人去對對那你覺得我們客家莊我們之前也有這個張之繫道什麼等等的我們用這樣子我們也不要一次太多
transcript.whisperx[158].start 6102.219
transcript.whisperx[158].end 6117.455
transcript.whisperx[158].text 我們以台山縣這樣子做一個整體的規劃然後來配合你們這個專案計畫你覺得這樣子會不會比一個點一個點然後沒有聚焦會比較好
transcript.whisperx[159].start 6118.012
transcript.whisperx[159].end 6140.094
transcript.whisperx[159].text 議員會議員會議員會議員會議
transcript.whisperx[160].start 6141.673
transcript.whisperx[160].end 6168.706
transcript.whisperx[160].text 這個朝聖者之路他是去看廟去看教堂但我們也可以用這個概念我們整個這樣下來我們客家莊也有一些廟然後我們客家莊也有我們客家的生活體驗對不對然後也有美食你把宗教生活體驗美食把它全部放在一起
transcript.whisperx[161].start 6170.418
transcript.whisperx[161].end 6178.485
transcript.whisperx[161].text 你覺得會不會有吸引我們先不要說國外的人你會不會覺得台灣的人如果你有把他這樣子會不會有人想要去體驗
transcript.whisperx[162].start 6179.908
transcript.whisperx[162].end 6182.949
transcript.whisperx[162].text 三、繼續審查114年度中央政府總預算案關於客家委員會及所屬部分。三、繼續審查114年度中央政府總預算案關於客家委員會及所屬單位預算書案。
transcript.whisperx[163].start 6209.077
transcript.whisperx[163].end 6212.378
transcript.whisperx[163].text 中央政府總預算案關於中央政府總預算案關於中央政府總預算案
transcript.whisperx[164].start 6230.502
transcript.whisperx[164].end 6231.002
transcript.whisperx[164].text 午10時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[165].start 6250.208
transcript.whisperx[165].end 6251.349
transcript.whisperx[165].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至
transcript.whisperx[166].start 6268.225
transcript.whisperx[166].end 6277.832
transcript.whisperx[166].text 在海裏有一個小石頭在這邊休息,這樣子才有那個讓他成長茁壯的機會啊?主委你認為呢?我再回應一下,現在我們可以在今晚的客庄小旅行,在旅行,就是大家都,剛剛議員說的,我們在本地所有的幾個點,還有目前在合宗的七十個點,全部都要整個包裝起來。
transcript.whisperx[167].start 6296.721
transcript.whisperx[167].end 6322.577
transcript.whisperx[167].text 好我為什麼要講這個計畫我認為很好但是他就是一百萬而已一百萬能撐多久如果你沒有整體的規劃下去我跟你講你這個阿會浪費掉啦阿但我覺得非常好可以讓年輕人返鄉去創業然後去做很多事情我覺得主委思考一下啦看我說的這樣子可不可行阿可行的話從這個方面去處理阿好不好嗯好感謝委員OK好
transcript.whisperx[168].start 6327.174
transcript.whisperx[168].end 6330.336
transcript.whisperx[168].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[169].start 6351.69
transcript.whisperx[169].end 6362.016
transcript.whisperx[169].text 主委在這我要收集一個意見給您這可能我看這個時間也很久了跟這個頻道因為可能我中午不平衡我每次看這個都會暈暈的不舒服那個好像是頻道因為我尊重你的意見你尊重我的意見好不好感謝你意見
transcript.whisperx[170].start 6381.382
transcript.whisperx[170].end 6384.128
transcript.whisperx[170].text 謝謝主委在這本社的時間。
transcript.whisperx[171].start 6388.851
transcript.whisperx[171].end 6393.334
transcript.whisperx[171].text 因為主委在這我要向您請教我們客家園區有兩個地方在這個過程當中我也很關心我們這個園區是要如何讓它可以好一點因為在我在關心的當中也有您給我的意見就是說我們可以
transcript.whisperx[172].start 6414.942
transcript.whisperx[172].end 6418.527
transcript.whisperx[172].text 因為疫情差不多190年至181年。但是在這個規定當中今年已經183年的月了。但是我們都沒辦法
transcript.whisperx[173].start 6429.141
transcript.whisperx[173].end 6431.784
transcript.whisperx[173].text 二、審查公共傳播基金會及所屬單位預算書案。三、繼續審查公共傳播基金會及所屬單位預算書案。
transcript.whisperx[174].start 6447.822
transcript.whisperx[174].end 6449.004
transcript.whisperx[174].text 可以如何保證、收益及鼓勵我們客家的人、帶四大人或帶孩子去參觀也好,你有什麼機會來。
transcript.whisperx[175].start 6461.827
transcript.whisperx[175].end 6467.43
transcript.whisperx[175].text 感謝委員我們兩位議員在美麗與平等我認為我們最主要還是要我們兩位議員所判的任務包括法庭、政難要有提示要有提示、要本、提訪人要有齊描、要有意義做得來
transcript.whisperx[176].start 6487.838
transcript.whisperx[176].end 6494.38
transcript.whisperx[176].text 最主要的人。再來聽到要提防合作人,特別是我們講生態博物館,我們一定要...主委你知道我現在問這個問題,目前為止183年,這間有多少人去參觀嗎?目前那137...
transcript.whisperx[177].start 6512.811
transcript.whisperx[177].end 6513.171
transcript.whisperx[177].text 午9時至午10時至午10時至午。
transcript.whisperx[178].start 6529.264
transcript.whisperx[178].end 6533.107
transcript.whisperx[178].text 主委,我向您請教我們一件議事。第一,剛才財委也有說,客庄創生及環境營造的計劃當中,這是變到最後一年,最後一年你要變12億,第83年,
transcript.whisperx[179].start 6548.9
transcript.whisperx[179].end 6550.801
transcript.whisperx[179].text 中央政府總預算案關於中央政府總預算案關於中央政府總預算案關於
transcript.whisperx[180].start 6563.154
transcript.whisperx[180].end 6567.417
transcript.whisperx[180].text 中央政府總預算案關於客家委員會及所屬部分。四、審查客家委員會及所屬部分。五、審查客家委員會及所屬部分。
transcript.whisperx[181].start 6586.713
transcript.whisperx[181].end 6591.414
transcript.whisperx[181].text 委員報告,所有的案都遭工廠侵吐行,目前只有香山的工廠案有控落,我聽說有工区的建設的推動費補來加強因為我認為這已經太慢了,我們這個工廠要加強
transcript.whisperx[182].start 6613.7
transcript.whisperx[182].end 6618.005
transcript.whisperx[182].text 主委,在這客家議員發展計劃裡面,我委員會為自己說,待會兒,等會兒,明天、明天、明天、明天、明天、明天、明天、明天、明天、明天、明天、明天、
transcript.whisperx[183].start 6629.377
transcript.whisperx[183].end 6633.359
transcript.whisperx[183].text 每年1月70至10日要在9月7日來表演。因為在這兩天我要跟主委探討的就是說在9月7日不要看過這個表演。非常的高興也感謝主委及所有的委員會到三天可以在9月7日來表演。
transcript.whisperx[184].start 6655.149
transcript.whisperx[184].end 6656.97
transcript.whisperx[184].text 嚴告未來我們的議員是不是還要有家鄉的空間來請主委你回答一下感謝委員,我們委員會開行的法庭都被一個菸絲輪流判了當然像新北市有判過
transcript.whisperx[185].start 6675.104
transcript.whisperx[185].end 6683.89
transcript.whisperx[185].text 法連、電電都判過。不管在行人過渡的素材,也在渡市的素材,我們很會討論,也拜託各位。未來我們也希望會培養客家的藝術團體,也在他們的訓練,訓練的功效做得到全台灣。因為主委,我是覺得說,議員這個區塊,你如果給他那麼多的資源,
transcript.whisperx[186].start 6703.723
transcript.whisperx[186].end 6709.407
transcript.whisperx[186].text 無未來,我認為我們的客家的單位,這些年輕的客家的主管會越來越久。我認為這你要非常去了解一下,還有我們客家的時候的補助、的客製當中,你有看到越多費,口越好,要不然我們要補償國家的基金的時候,
transcript.whisperx[187].start 6730.402
transcript.whisperx[187].end 6732.885
transcript.whisperx[187].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至
transcript.whisperx[188].start 6755.606
transcript.whisperx[188].end 6762.987
transcript.whisperx[188].text 差不多75%至80%所以在這個問題要如何讓高齡年輕人去參加這個議案這是最重要的在這裡最後主席再給我一個時間我要跟主委說不說照顧戰在所有我們自己的長照
transcript.whisperx[189].start 6784.011
transcript.whisperx[189].end 6792.415
transcript.whisperx[189].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至
transcript.whisperx[190].start 6812.985
transcript.whisperx[190].end 6816.966
transcript.whisperx[190].text 第11屆第2會期內政委員會及所屬部分。三、繼續審查114年度中央政府總預算案關於中央政府公共傳播基金會及所屬部分。
transcript.whisperx[191].start 6833.251
transcript.whisperx[191].end 6833.811
transcript.whisperx[191].text 午10時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11
transcript.whisperx[192].start 6852.518
transcript.whisperx[192].end 6859.521
transcript.whisperx[192].text 拜訪長照這個所在心事你會如何對客家委員會及這位客家委員來照顧來,你會回答這個問題。我們經常在跟提訪聯絡,因為要提訪就審查,經常我們不出判法就提出審查,要我們好好地聯絡。
transcript.whisperx[193].start 6878.561
transcript.whisperx[193].end 6901.578
transcript.whisperx[193].text 沒有啦,主委我知道我們一個會議不是我們所有在這裡的委員去會議啦我知道是地方政府會議及他們沒有會議是不是你們可以拜託我們的審判人員在當地好不好,以上好,好,好,感謝委員謝謝,不好意思
transcript.whisperx[194].start 6904.585
transcript.whisperx[194].end 6923.399
transcript.whisperx[194].text 每每每可以多講好接下來我們請張志倫委員那同時跟委員會報告我們等一下黃建斌委員尋答完之後休息5分鐘我們讓大家可以用用一下洗手間好好謝謝主席各位委員各位官員大家早有請谷主委好強主委
transcript.whisperx[195].start 6935.867
transcript.whisperx[195].end 6935.987
transcript.whisperx[195].text 總委員吼。
transcript.whisperx[196].start 6953.01
transcript.whisperx[196].end 6972.664
transcript.whisperx[196].text 部會需刪減預算,以致來為客委會無法繼續支持全臺客庄的興建工程活動,包含已特別提出來臺中東勢客家文化園區修建及興建案以及苗栗明德水庫自行車道二期工程以及補助地方
transcript.whisperx[197].start 6974.145
transcript.whisperx[197].end 6991.539
transcript.whisperx[197].text 附贈客語的獎助規劃以及地方藝人活動及團體的獎助補助經費。那你也特別提出你的客委會的預算會減少28%我想要請教主委這個12月20號財化法才通過禮拜五晚上凌晨
transcript.whisperx[198].start 6992.099
transcript.whisperx[198].end 7011.811
transcript.whisperx[198].text 21日、22日、6日、23日只有一天的工作時間。結果你在24日馬上就算出來說你會減少28%的預算。讓我不禁覺得您非常的厲害。我都有點懷疑你未來有可能當這個主計長。所以是不是想要請教你,你如何算出來你是這個部會是減少28%?你有跟主計長討論過嗎?還是你容身主計長了?
transcript.whisperx[199].start 7016.973
transcript.whisperx[199].end 7018.674
transcript.whisperx[199].text 今朝總委員會議宣判在客家委員會發展支出過後,經濟財閥法通過約3,000萬億,推估國庫費可能下降。
transcript.whisperx[200].start 7033.3
transcript.whisperx[200].end 7034.001
transcript.whisperx[200].text 百分之二十八案項項項項項項項項項項項項項
transcript.whisperx[201].start 7056.698
transcript.whisperx[201].end 7082.199
transcript.whisperx[201].text 不過我要跟主委報告今年還是我們政府有超收稅收5000多億所以我本席是認為其實這個財化法修法後中央其實還有9000億可以運用而且還不包含超收稅收5000多億所以我認為這客委會應該要平衡中央跟地方的財政不要去影響中央對地方的補貼請主委再瞭解
transcript.whisperx[202].start 7082.739
transcript.whisperx[202].end 7091.626
transcript.whisperx[202].text 那我想要請教我剛剛請教主委的部分,我剛剛所提到這些三檢客庄的新建工程的部分是這個客庄369的計劃嗎?是嗎?那這樣客家創生繁殖養殖基物以及那支部門的部分
transcript.whisperx[203].start 7101.678
transcript.whisperx[203].end 7128.992
transcript.whisperx[203].text 好那本席在這邊提醒主委齁其實這個客家36客庄369的計劃其實不只只有補助苗栗跟台中也有補助屏東跟高雄那我希望本席希望說你到屏東跟高雄的時候也要像照這個苗栗跟台中的部分去跟他們講一下他們到底會減少多少預算那本席也希望你在這邊承諾不只減少預算不能只挑台中跟苗栗應該各個部會
transcript.whisperx[204].start 7129.972
transcript.whisperx[204].end 7142.908
transcript.whisperx[204].text 部會要去統整喔各個地區喔全台各個地區應該要對等的平均的減少相關的預算不能只減台中跟苗栗可以接受嗎?呃呃跟委員部重播過齁我會講藥糧的額內那個營費藥糧的額內呃經費一等台齁超過上億元齁
transcript.whisperx[205].start 7149.315
transcript.whisperx[205].end 7162.343
transcript.whisperx[205].text 主委我了解您意思這經費比較大那你可以同意說全台各個你要補助客庄369的要均衡的去減少不能只減少台中跟苗栗的可以嗎所以你全台灣會等比例減少
transcript.whisperx[206].start 7167.466
transcript.whisperx[206].end 7168.507
transcript.whisperx[206].text 本期要特別提出來這個你臉書的發文
transcript.whisperx[207].start 7184.053
transcript.whisperx[207].end 7207.3
transcript.whisperx[207].text 最偏文章還特別請小編下來廣告那我知道你今天已經撤掉了所以現在已經撤掉我就不提了好OK那第二個本期要請教你有關於客家族群主流發展計畫的期程是109年到114年那我們可以看到這一張我們臺灣其實客語發展有個非常重要叫做國家客家發展計畫
transcript.whisperx[208].start 7208.3
transcript.whisperx[208].end 7222.06
transcript.whisperx[208].text 最新的報告只有到110年到112年然後上次110年到112年的核定本是110年的6月15號讓本席很好奇的是我們現在台灣難道沒有國家客家發展計劃嗎?
transcript.whisperx[209].start 7224.543
transcript.whisperx[209].end 7231.987
transcript.whisperx[209].text 113年的發展計畫在哪裡?來請主委解釋一下。我要請教主委,現在是113年的12月了。上次是在110年的6月15號就通過,你已經晚了,近6個月。那我要請教賴總統,難道113年,你新出的報告是要從113年開始,還是114年來開始?
transcript.whisperx[210].start 7251.8
transcript.whisperx[210].end 7257.983
transcript.whisperx[210].text 我們已經完成了我請問你要回答我是從113年開始還是114年?114年那113年難道全台灣沒有國家客家發展計劃嗎?113年是空窗期嗎?應該是說113年以後有一個平台是369的發展平台故事一兩的我考慮改善合法來強化各界的發展
transcript.whisperx[211].start 7276.89
transcript.whisperx[211].end 7297.319
transcript.whisperx[211].text 我為什麼要跟主委特別報告這件事國家客家發展計畫對全台灣的在客家發展非常重要因為裡面有編的很詳細的預算以及計畫以及執行情形可是我們現在看到的是在賴清德主政底下主委113年的計畫居然是空白繳了這個空白的成績單
transcript.whisperx[212].start 7298.419
transcript.whisperx[212].end 7324.984
transcript.whisperx[212].text 所以我希望主委這一點要好好來檢討不然我們也不排除說這個您這邊要來推動客家發展計劃作此客家基本法的預算在研究的預算我們不排除來凍結甚至刪除這拜託主委好在接下來在持續的關係我再請教這個剛剛很多人提到這個博工114年的博工照護站的部分我要為所有我們所有客家鄉親來請益為什麼博工照護站的這個
transcript.whisperx[213].start 7326.164
transcript.whisperx[213].end 7351.223
transcript.whisperx[213].text 能申請的比例調整了原本用客語溝通人數只要佔常住人口30%就可以了可是為什麼114年你們要改成這個比例要高達50%那這樣子我們經費大概有增加了快要300萬那這樣子申請門檻變高可是預算卻增加那我知道說你們一定會提說未來要改進加入什麼青年嘛對不對
transcript.whisperx[214].start 7351.883
transcript.whisperx[214].end 7357.065
transcript.whisperx[214].text 二、審查客家委員會及所屬部分。二、審查客家委員會及所屬部分。
transcript.whisperx[215].start 7373.052
transcript.whisperx[215].end 7378.313
transcript.whisperx[215].text 審查114年度中央政府總預算案關於客家委員會及所屬部分。四、繼續審查114年度中央政府總預算案關於客家委員會及所屬部分。
transcript.whisperx[216].start 7400.219
transcript.whisperx[216].end 7422.993
transcript.whisperx[216].text 好那沒關係我們本期會繼續來監督看說這樣子話整個比例希望不要下降太多能申請的人不要太少那最後時間的關係我再請教客委會我覺得最大的問題之一除了剛剛我們講的國家計劃法以外我認為沒宣費問題很大114年的客委會編的沒宣費是一億三千兩百一億三百二十九萬元
transcript.whisperx[217].start 7424.134
transcript.whisperx[217].end 7451.493
transcript.whisperx[217].text 那比113年度的預算增加2300多萬元,比112年度的這個預算增加增加了3000多萬元,增加的比例非常的高。那本席跟主委報告,112年月客委會有辦這個世界客家博覽會,所以我沒宣費可以增加我可以理解,可是113年度我們總共的經費是6900多萬,主委你知道到11月的時候沒宣費花了多少錢嗎?
transcript.whisperx[218].start 7455.191
transcript.whisperx[218].end 7460.254
transcript.whisperx[218].text 到113年11月的時候預算書是6900多萬請問到113年的11月就上個月讓你結帳花了多少錢你知道嗎目前6200萬左右我說到113年的11月底知道嗎
transcript.whisperx[219].start 7485.245
transcript.whisperx[219].end 7502.374
transcript.whisperx[219].text 我要跟主委報告也跟所有委員報告的是你知道113年11月只花了3471萬你總共的預算是6900多萬你知道11月的時候11月底還花不到一半那我請教這沒宣費到底是什麼編出來的
transcript.whisperx[220].start 7503.833
transcript.whisperx[220].end 7526.289
transcript.whisperx[220].text 因為因為有排程,有媒體的宣傳有排程,都是你的結案,結案的要由法律全部支付為款本送送。所以我要跟主委報告,沒宣費,尤其是我們所有委員非常重視,都是人民的納稅錢,到底有沒有浮標,所以你12月份的時候要花,我們沒宣費花將近3339萬。
transcript.whisperx[221].start 7530.225
transcript.whisperx[221].end 7557.586
transcript.whisperx[221].text 當然一定有包含驗收可是我要請問政府的預算人民的納稅錢可以這樣花嗎全部預算一整年11個月份都不請款都不執行到12個月份的時候再大筆的沒宣費這樣去執行這樣去請款所以我要拜託主委的是我跟您報告你114年的預算是9000多萬要增加2000多萬我不希望說還有像113年這樣的執行跟運用跟請款情形可以嗎
transcript.whisperx[222].start 7558.414
transcript.whisperx[222].end 7581.713
transcript.whisperx[222].text 昨天晚上我檢討他的付款啦。付款的期程、特兵、他的金額啦。英國的那幾年圖。幾年圖都最年代。對阿我們台灣有紅花季有非常多的節育阿。怎麼會到11月底的時候才花50%的錢。到12月份直接請款把最後人民納稅錢53000多萬一次給請款一次給花掉。
transcript.whisperx[223].start 7585.683
transcript.whisperx[223].end 7602.708
transcript.whisperx[223].text 我光是作業期程也不會花那麼久的時間所以我要拜託主委114年度還增加更多增加到9200多萬所以本期不希望發生113年度我照最後一個月再消化預算的情形這樣可以嗎?因為那個財務人員要儲息行財務人員要付款的儲息行當然我們不可以跟所有的律師都在那邊我看他的財務人員的情況要付款
transcript.whisperx[224].start 7612.506
transcript.whisperx[224].end 7622.569
transcript.whisperx[224].text 所以每個的執行平均都到12月才執行完畢嗎?所有的法庭都要到12月才執行完畢。好,謝謝主委,拜託以後不要再這樣子了,謝謝。好,謝謝張志倫委員。我們接下來請麥玉娟委員。
transcript.whisperx[225].start 7643.342
transcript.whisperx[225].end 7646.346
transcript.whisperx[225].text 下午11時至下午11時至下午11時至下午11時至下午11時至下午11時至下午11時至下午11時至下午11時至下午11時至下午11時至下午11時至下午11時
transcript.whisperx[226].start 7653.946
transcript.whisperx[226].end 7664.43
transcript.whisperx[226].text 主委好我要請教主委一下你知道在民進黨2012年民進黨主席蘇貞昌還有台南市長賴清德立法院黨團總召柯建民還有幹事長潘蒙安呼籲財政收支劃分法列為優先
transcript.whisperx[227].start 7683.177
transcript.whisperx[227].end 7687.881
transcript.whisperx[227].text 審查法案。在2024年我們為了幫民進黨執行這個法案也是幫他們為民眾承諾已經承諾的法案我們是幫他們
transcript.whisperx[228].start 7703.683
transcript.whisperx[228].end 7706.284
transcript.whisperx[228].text 法案通過。所以他說有效縮短城鄉貧富的差距這個就是當時在2012年的就民進黨說的他們的目標你是否認同?
transcript.whisperx[229].start 7722.619
transcript.whisperx[229].end 7737.312
transcript.whisperx[229].text 議員會議員會議員會議員會議員會議
transcript.whisperx[230].start 7737.898
transcript.whisperx[230].end 7740.02
transcript.whisperx[230].text 二、審查財政委員會及所屬部分。三、繼續審查財政委員會及所屬部分。
transcript.whisperx[231].start 7761.135
transcript.whisperx[231].end 7763.637
transcript.whisperx[231].text 所以你不認同你就是打臉他們他們當初就浪費時間來推這個法了所以當初我們國民黨不同意這個法通過是對的是嗎?所以他們就是要去用這樣子的法尊重尊重的也不是你才能來提評論的嘛
transcript.whisperx[232].start 7791.355
transcript.whisperx[232].end 7795.358
transcript.whisperx[232].text 所以他們當初他們要去修這個法是為什麼當初客委會沒有覺得這個法不好呢他們也是大力的為我們的人民去承諾當時我們覺得他們這個會期我們覺得他們的法是很好所以我們就是幫忙他們就是把這個法通過但是我看你在2020
transcript.whisperx[233].start 7818.615
transcript.whisperx[233].end 7836.55
transcript.whisperx[233].text 二十二月二十四在臺中在我們的旺子學校函修復工程的時候以及在苗栗參加客家文化文學花園的移轉儀式時公開表示
transcript.whisperx[234].start 7837.711
transcript.whisperx[234].end 7839.672
transcript.whisperx[234].text 財化法通過,就是減少預算28到30%,並稱說未來中央無法再照顧地方政府,還有說這番言論具體含義是什麼?
transcript.whisperx[235].start 7853.197
transcript.whisperx[235].end 7856.442
transcript.whisperx[235].text 如果客家委員會真的關心客家文化為何不提具體解決的方案而是選擇製造分支所以我覺得這個部分請客委會在中央
transcript.whisperx[236].start 7868.798
transcript.whisperx[236].end 7873.263
transcript.whisperx[236].text 因具備高度的格級尊重地方的政府的要求財化法修正式讓地方的資源分別應用還有客家委員會要攜手地方推動文化的建設
transcript.whisperx[237].start 7886.737
transcript.whisperx[237].end 7890.118
transcript.whisperx[237].text 現在我們要呼籲我們的客家委員會這一邊和政府不要干預我們的法案剛才你說你尊重但是你已經干預了所以將客家的族群不要把族群變成政黨的籌碼這個是會影響到我們的族群成為我們
transcript.whisperx[238].start 7912.083
transcript.whisperx[238].end 7915.284
transcript.whisperx[238].text 政黨的鬥爭的工具。所以好,第二個,我要想請教你一下,我要想請教你一下,我要想請教你一下,對,但是你在去地方你要講的是客家的文化,客家委員會怎麼樣推動這些文化,不是要把財
transcript.whisperx[239].start 7936.192
transcript.whisperx[239].end 7938.015
transcript.whisperx[239].text 財劃法在地方來變成你的演講的宣傳,這樣子的話會造成我們的族群的奮鬥。但是要去思思啦,因為我們都提防,要利用提防去做
transcript.whisperx[240].start 7951.556
transcript.whisperx[240].end 7953.777
transcript.whisperx[240].text 所以剛才你說你不干涉你就還要提這個所以我想要問你現在你的專業的啦你現在應該要做的事情就是在我們114年度客家傳播行銷行動裡面你編列了
transcript.whisperx[241].start 7967.605
transcript.whisperx[241].end 7974.169
transcript.whisperx[241].text 12億7千多但是在113年度只有10億7千多增加1億9千多但是我看這一筆錢增加有必要嗎?效果如何?有沒有達成你編列之前做得不好現在還增加那麼多這樣的效果又如何?如何提升客家文化在國際上的能見度?
transcript.whisperx[242].start 7996.244
transcript.whisperx[242].end 7999.647
transcript.whisperx[242].text 還有我們如何將這個獎勵補助我們客家的影視音樂還有製作請問我們的主委你覺得你如何評估補助這個案子的效力才不會浪費我們的經費
transcript.whisperx[243].start 8016.424
transcript.whisperx[243].end 8034.755
transcript.whisperx[243].text 跟貓咪嚴報告,我們客家出權那些看不到的,那些隱形的,因為對外表、對銀行的看,都是這樣。如果你覺得這個是隱形的話,客家傳播行銷計劃,這個是宣傳的,叫做隱形。如果你說隱形的話,貓咪嚴誤批我意思。這樣子的,我要問你,
transcript.whisperx[244].start 8044.241
transcript.whisperx[244].end 8045.842
transcript.whisperx[244].text 在我們的…好,你講這樣子嘛,你講到我在問你第二題嘛,好,你先問,我要因為時間有限,你說隱形的看不到,或者其他,但是我要問你,客家委員會每年要投3億來推動學校科語學習計畫,
transcript.whisperx[245].start 8071.232
transcript.whisperx[245].end 8073.373
transcript.whisperx[245].text 主委覺得這個執行的效果如何?學習的意願高嗎?還有我們客家人或者是一般學生對客家語聽說能力有多少?你覺得這個有效嗎?有多少?你有再去一方?
transcript.whisperx[246].start 8089.321
transcript.whisperx[246].end 8090.622
transcript.whisperx[246].text 所以這個才是你要做的工作,不是要去干預說財化法怎麼樣怎麼樣,這個事情要解討,要怎麼樣去把這件事情去改善,你才要變一變一算。
transcript.whisperx[247].start 8114.901
transcript.whisperx[247].end 8115.121
transcript.whisperx[247].text 本次會議時間為上午9時至
transcript.whisperx[248].start 8137.556
transcript.whisperx[248].end 8141.777
transcript.whisperx[248].text 你該的工作你要跟人家說明你該的工作要去在地方先宣傳讓更多人去學習我們的客家語還有推廣文化還有新語言對所以困難你要解決這個困難啊如果困難你要不要做你解決這個困難要不要做
transcript.whisperx[249].start 8163.783
transcript.whisperx[249].end 8165.565
transcript.whisperx[249].text 當然,所以我拜託委員會支持我們的醫生,因為醫生分歸到的項目一直都在推動我們就是因為很多的項目,但是這個項目你也做不好嘛,你要困難的要去在地方跟地方溝通的時候,
transcript.whisperx[250].start 8184.706
transcript.whisperx[250].end 8191.072
transcript.whisperx[250].text 發言的時候應該要聽聽我們的地方如何去把這件事情做好。不只是學習的學習沒有達到我們的目標還有預算還有許多我們的學生還有老師還有我們的客家語的老師你覺得現在資源足嗎?
transcript.whisperx[251].start 8207.765
transcript.whisperx[251].end 8211.307
transcript.whisperx[251].text 我相信貓委員剛才說過,幕後也要我們募銀團,因為居多地方,包括地方政府、鄉鎮公所也在說,我們的客家都在兼顧努力在推動,所以貓委員說幕後我們是服募募銀團,客家該努力,還有我們行商市都該努力跟我們的營業文化去共存。所以我才說你這個是主要的工作,我是要求說你主要的工作要你做。
transcript.whisperx[252].start 8235.123
transcript.whisperx[252].end 8237.704
transcript.whisperx[252].text 主要的工作你要去報告說你們的預算你要主要的工作怎麼樣地方去合作還有我們的師資我們的師資如何讓大家來去有師資的足夠來配合各個學校來去推廣這樣的語言師資又不足大家學習意願也不足
transcript.whisperx[253].start 8260.734
transcript.whisperx[253].end 8260.954
transcript.whisperx[253].text 本次會議時間為上午9時至
transcript.whisperx[254].start 8280.37
transcript.whisperx[254].end 8281.01
transcript.whisperx[254].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[255].start 8305.661
transcript.whisperx[255].end 8315.869
transcript.whisperx[255].text 帶風向還是要去跟著政黨的宣傳來去做你該做的職務。以上報告先。接下來請黃建斌委員。黃建斌委員質詢完之後我們就休息五分鐘。
transcript.whisperx[256].start 8332.253
transcript.whisperx[256].end 8335.554
transcript.whisperx[256].text 謝謝主席,現在我們請谷主委。好,請主委。好,來,王明彥吼。主委好。主委,本席首先要針對我們12月19號我們內政委員會的狀況來表達本席的想法吼。因為一定在上上個禮拜我們內政委員會就可以針對我們客人會來進行這個預算的答詢吼。那接著就趕快把預算審完,那趕快來推動我們客家族群
transcript.whisperx[257].start 8360.283
transcript.whisperx[257].end 8386.809
transcript.whisperx[257].text 委員會的一些政策。不過因為當天我們民進黨也霸佔了我們整個主席台,那原本應該要進行的會議沒有辦法來持續,讓諸位您本人以及許多在場的主管在這邊苦等一整天,造成我們議事的空轉,我想也造成客會還有行政觀點的時間的浪費。不過本席在這邊要肯定你,因為當天議事雖然被癱瘓,不過你還是很盡責的堅守在崗位上,等待立委的質詢。
transcript.whisperx[258].start 8388.149
transcript.whisperx[258].end 8398.779
transcript.whisperx[258].text 我想這是身為部委員首長應該要有的一個態度我想不論我們立法院的公訪正常公訪是如何身為中央的行政長官你在預算的審查期間本來就應該要監守崗位
transcript.whisperx[259].start 8400.762
transcript.whisperx[259].end 8421.571
transcript.whisperx[259].text 那做好準備,針對每項預算向我們立法院還有全國人民來說清楚到底我們人民的納稅錢要怎麼用,要用到哪裡去。那本期在這邊也要強調行政權要接受立法權的監督。部會首長接受質詢這是最基本最基本的憲政原則也是行政跟立法之間最基本的互動倫理。
transcript.whisperx[260].start 8422.714
transcript.whisperx[260].end 8445.563
transcript.whisperx[260].text 不過我們行政院拱秘書長那天也做了一個非常非常不好的示範就當著大家委員會面就這樣子離開非常的傲慢所以這件我想除了要對股主委監督官會表達肯定以外我想也要譴責我們拱秘書長這個是待乎職守那兩位比較起來高下立判股主委的表現才是一個部會書長應該要有的一個態度
transcript.whisperx[261].start 8447.554
transcript.whisperx[261].end 8460.742
transcript.whisperx[261].text 好接下來我想回到我們整個課會預算部分本期有幾點想要跟谷主委來就講齁那在114年之後課會的稅出高達43億7036萬那相較在113年我們預算增加了4億2217萬我們整個增加高達10.69%齁所以增加比例可以說是不少啦齁那
transcript.whisperx[262].start 8472.253
transcript.whisperx[262].end 8486.545
transcript.whisperx[262].text 在客庄創生及環境營造計劃這個部分總計劃我們基本是6年高達53億元這是一個非常龐大的一個項目那114年剛好是計劃的最後一年那總共編列了12億元那裡面包括是業務費1億2461萬獎補助費10億
transcript.whisperx[263].start 8491.469
transcript.whisperx[263].end 8507.023
transcript.whisperx[263].text 6千9百萬。本席認為計畫的最後一年應該是要仔細來盤點我們整個預算的執行成效的時刻,絕對不要為了要消化而亂花,因為這都是人民的納稅錢。那這邊本席要替我們台東來請命。
transcript.whisperx[264].start 8509.745
transcript.whisperx[264].end 8537.556
transcript.whisperx[264].text 主委知道臺東的客家鄉親有4萬多人,占了整個臺東縣人口的五分之一,算是一個很大的族群。那我們在池上鄉,臺東縣池上鄉有一個臺東縣客家文化園區,這是由當時客會跟臺東縣政府共同投資興建。那我們縣政府現在目前積極地在招商來作業,希望透過這個委託管理的方式,結合我們客家的文化,不管是深入旅遊、特色露營或是文創聚落的體驗,
transcript.whisperx[265].start 8538.816
transcript.whisperx[265].end 8558.243
transcript.whisperx[265].text 讓客家文化園區能夠真正能夠成為一個兼具文化教育確認功能的特色空間。讓我們整個園區的功能能夠更完善、更完備、更具有觀光魅力。在這邊我們根據客人會這個客庄創生環境營造計畫補助要點裡面我們的核心精神就是要振興客家文化特產業。
transcript.whisperx[266].start 8559.483
transcript.whisperx[266].end 8561.104
transcript.whisperx[266].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[267].start 8571.949
transcript.whisperx[267].end 8591.789
transcript.whisperx[267].text 在外面的年輕人能夠返鄉那本期這邊也希望說中央能夠看到偏鄉地區的資源的不足那挹注更多的經費來支持台東那也希望客人會能夠向相關的活動移居到時尚客家委員區來舉辦我想這真的可以是促進我們客庄創生環境這個營造
transcript.whisperx[268].start 8593.35
transcript.whisperx[268].end 8600.975
transcript.whisperx[268].text 我們在客會114年預算裏面有一個叫議文傳播推廣的部分總共編列媒體政策及業務修正費高達9204萬相較在113年是增加2301萬增加高達33.3%
transcript.whisperx[269].start 8610.376
transcript.whisperx[269].end 8626.437
transcript.whisperx[269].text 根據我們客會的說法是說因為這個增加預算主要是因為推動這個提升客家語言文化及聲望運用客語討論公共議題的計畫讓更多人可以聽見客語支持客家文化來傳承跟延續
transcript.whisperx[270].start 8627.759
transcript.whisperx[270].end 8634.384
transcript.whisperx[270].text 本席絕對是支持這項的美意但你這個媒體政策宣傳費用在114年 112年的時候你計算數是5644萬那預算執行只有84.64%但是你在112年的時候你的預算就增加
transcript.whisperx[271].start 8647.312
transcript.whisperx[271].end 8667.907
transcript.whisperx[271].text 6時3點8這是一件很奇怪的事情剛剛張志偉也提到你在去年的錢還沒有執行完的情況你明年又編更多的錢要花這讓人家會去懷疑說你預算到底有沒有浮邊的情況嘛我想人民的納稅錢不是這樣花啦那到底可以問我們的媒體的這個政策跟業務宣傳是用在哪裡
transcript.whisperx[272].start 8669.088
transcript.whisperx[272].end 8688.953
transcript.whisperx[272].text 真的要宣傳我們客家文化嗎還是我們變成在支出特定的媒體的小金庫我想這個是很多委員都會質疑的地方那也希望各位接下來在我們預算的討論上能夠好好來說明那像我們委員會來說這個具體的成效會有大概相關的成效會到哪邊
transcript.whisperx[273].start 8689.793
transcript.whisperx[273].end 8718.491
transcript.whisperx[273].text 我相信內政委一定會很理性針對這部分來好好檢討那這邊也要再次的拜託我們的谷主委就是從剛剛職選部分講到的臺東縣的資源相對是較少那我們客家族群其實是佔一個不小的人數我們也希望各位能夠多多益助、經費甚至活動的舉辦能夠在臺東縣讓花東地區的客家鄉親也能夠有機會來感受自己的這個文化以上謝謝主委感謝王委員
transcript.whisperx[274].start 8719.977
transcript.whisperx[274].end 8722.352
transcript.whisperx[274].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[275].start 8796.608
transcript.whisperx[275].end 8798.409
transcript.whisperx[275].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[276].start 8823.411
transcript.whisperx[276].end 8833.156
transcript.whisperx[276].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[277].start 8845.598
transcript.whisperx[277].end 8851.46
transcript.whisperx[277].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至
transcript.whisperx[278].start 8868.359
transcript.whisperx[278].end 8871.461
transcript.whisperx[278].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11
transcript.whisperx[279].start 8885.7
transcript.whisperx[279].end 8889.902
transcript.whisperx[279].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[280].start 8908.152
transcript.whisperx[280].end 8916.357
transcript.whisperx[280].text 三、繼續審查114年度中央政府總預算案關於客家委員會及所屬部分。三、繼續審查114年度中央政府總預算案關於客家委員會及所屬單位預算書案。
transcript.whisperx[281].start 8931.691
transcript.whisperx[281].end 8942.416
transcript.whisperx[281].text 三、繼續審查114年度中央政府總預算案關於客家委員會及所屬部分。四、繼續審查114年度中央政府總預算案關於客家委員會及所屬單位預算書案。
transcript.whisperx[282].start 8959.898
transcript.whisperx[282].end 8963.161
transcript.whisperx[282].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至
transcript.whisperx[283].start 8983.968
transcript.whisperx[283].end 8991.535
transcript.whisperx[283].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[284].start 9011.042
transcript.whisperx[284].end 9017.148
transcript.whisperx[284].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[285].start 9032.501
transcript.whisperx[285].end 9037.284
transcript.whisperx[285].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[286].start 9051.012
transcript.whisperx[286].end 9053.353
transcript.whisperx[286].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11
transcript.whisperx[287].start 9080.151
transcript.whisperx[287].end 9090.694
transcript.whisperx[287].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[288].start 9114.212
transcript.whisperx[288].end 9119.016
transcript.whisperx[288].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11
transcript.whisperx[289].start 9137.652
transcript.whisperx[289].end 9156.725
transcript.whisperx[289].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[290].start 9173.848
transcript.whisperx[290].end 9184.753
transcript.whisperx[290].text 上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時
transcript.whisperx[291].start 9205.596
transcript.whisperx[291].end 9215.48
transcript.whisperx[291].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至
transcript.whisperx[292].start 9220.399
transcript.whisperx[292].end 9241.41
transcript.whisperx[292].text 市長你好我想在上次的本來要審這個客家委員會的預算之後因為議事被杯葛所以今天算是正式的第一次審查那我想在雖然今天看到很多委員的提案有刪減或凍結客委會的預算但是等一下才會審查嗎所以並沒有目前還沒有這樣子的一個決議
transcript.whisperx[293].start 9243.371
transcript.whisperx[293].end 9262.389
transcript.whisperx[293].text 相信客家委員會會積極地爭取所有這個委員的預算希望不要被凍結或者被刪除但是我想財化法通過之後谷主委對著媒體說中央接下來幾年都沒有辦法照顧地方尤其是那天不管到苗栗或到台中市政府的時候
transcript.whisperx[294].start 9263.03
transcript.whisperx[294].end 9279.08
transcript.whisperx[294].text 希望爭取東勢客家園區的修建跟興建案。谷主委本人說口頭上已經答應了,那審查後也通過1.5億的預算。請問一下谷主委這筆預算會不會升變?那中央政府已經有下令要重編預算了嗎?要不然為什麼谷主委說會減少30%的預算?那如果沒有重編的問題,那為什麼要對媒體說這筆預算無法補助了?
transcript.whisperx[295].start 9287.526
transcript.whisperx[295].end 9287.746
transcript.whisperx[295].text 請國際回答
transcript.whisperx[296].start 9303.847
transcript.whisperx[296].end 9329.91
transcript.whisperx[296].text 主委,這個行政院有跟你們說要重編了嗎?目前還忙,也要先這樣整理。有告訴你喔,剛剛主席長陳淑芝已經在內政委員會有對媒體講沒有要重編預算的計畫,沒有。所以為什麼您在還沒有,中央都還沒有告訴你,行政院都還沒有告訴你,您就在地方上散播這樣的言論呢?那是主委您自己的意見,還是是行政院給你的?
transcript.whisperx[297].start 9330.65
transcript.whisperx[297].end 9332.751
transcript.whisperx[297].text 我相信我們在議會上的財務法通過三千兩一的依算本提供,即使這樣通過,我們真實是會受到影響的陷阱。我想你可能知道
transcript.whisperx[298].start 9347.137
transcript.whisperx[298].end 9356.427
transcript.whisperx[298].text 雖然說您是今年才上任可是您應該很清楚光過去3年我們的這個超徵的這個稅收就已經超過1兆3400億光今年我們講今年預估會超徵就5100億
transcript.whisperx[299].start 9363.394
transcript.whisperx[299].end 9379.718
transcript.whisperx[299].text 所以拿來用這個財政稅務法通過之後的會增加的3753億回歸給地方其實這個金額就綽綽有餘根本不會影響到你中央的總預算那為什麼您當時就在地方上就講這樣的言論造成客家鄉親的一個恐慌嗎
transcript.whisperx[300].start 9382.199
transcript.whisperx[300].end 9385.021
transcript.whisperx[300].text 二、審查客家委員會及所屬單位預算書案。三、繼續審查客家委員會及所屬單位預算書案。
transcript.whisperx[301].start 9403.012
transcript.whisperx[301].end 9404.553
transcript.whisperx[301].text 午10時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[302].start 9425.774
transcript.whisperx[302].end 9427.376
transcript.whisperx[302].text 跟我們所有的客家鄉親道歉剛剛主席長已經講了
transcript.whisperx[303].start 9442.532
transcript.whisperx[303].end 9452.198
transcript.whisperx[303].text 今年的預算不會重編,所以絕對也不會去影響到客委會的預算。所以您是不是該為這件事情不當言論,對我們客家鄉親道歉呢?希望以後還沒有定案的話,也希望谷主委在地方上不要去講這樣的言論好嗎?
transcript.whisperx[304].start 9468.487
transcript.whisperx[304].end 9485.98
transcript.whisperx[304].text 立法院都預金。那以後就不用行政院啊,因為其實國主委就可以做決定,然後就不用行政院的要求。所以我覺得以後行政院還沒有通過還是希望國主委到地方上不要這樣子的不斷的聯論來引起客家鄉親的恐慌。接下來我還要問您下一題,就是我們客委會今年編列的預算,月進主流計畫有3億3844萬2千元。
transcript.whisperx[305].start 9494.895
transcript.whisperx[305].end 9497.018
transcript.whisperx[305].text 比較113年度的預算數9025萬元增加1億1475萬6千增加的幅度高達127%那我們有查過111年度這個獎補助費的執行率才16.67
transcript.whisperx[306].start 9511.917
transcript.whisperx[306].end 9537.251
transcript.whisperx[306].text 113年到8月底執行率也不過33.2%光執行率這麼低光今年的預算都花不完為什麼客委會還要在114年度還編列多增加了1億多政府高達百分之127的預算執行率這麼低要怎麼推廣客家的這個語言跟文化委員也要舒適這樣辦的到目前為止我們這行列已經超過9成了
transcript.whisperx[307].start 9539.331
transcript.whisperx[307].end 9563.048
transcript.whisperx[307].text 你現在已經超過九成了但是你明年度你看光到現在執行9025萬到現在你說好到九成了那明年你還要增加1億1476萬所以針對這個部分請谷主委一定要去徹底的檢討執行率其實是相對偏低未來要怎麼推廣客家語言跟文化再麻煩谷主委能夠好好來去檢討這個部分
transcript.whisperx[308].start 9565.519
transcript.whisperx[308].end 9573.442
transcript.whisperx[308].text 另外就是我們在114年度的議文傳播推轉的預算編列了16億1286萬7千其中對媒體政策跟業務宣導的是9204萬5千那我查了一下客委會主委可以看一下這個部分
transcript.whisperx[309].start 9583.885
transcript.whisperx[309].end 9602.214
transcript.whisperx[309].text 過去從109年到113年的三季我們可以看到民視得標了12次八大五次三立一次年代四次其中一個貝利德股份生公司更是高達1億4688萬我們可以看到就是特定的媒體好像都能夠標到我們客委會的這個標案
transcript.whisperx[310].start 9604.855
transcript.whisperx[310].end 9617.7
transcript.whisperx[310].text 那也會讓社會造成國家好像在養媒體的一個印象請問一下主委針對114年度這個部分客家委員會在執行年度的預算的時候是不是能夠改善
transcript.whisperx[311].start 9619.5
transcript.whisperx[311].end 9625.403
transcript.whisperx[311].text 議員報告,我們的議案一定都會公開招標。是限制性招標嗎?但是有限制性招標嗎?對不對?
transcript.whisperx[312].start 9635.954
transcript.whisperx[312].end 9637.295
transcript.whisperx[312].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[313].start 9653.063
transcript.whisperx[313].end 9655.185
transcript.whisperx[313].text 114年度的標案一定要立即檢討不要讓大家覺得說所有媒體好像只有少數的媒體能夠標到客委會的預算應該是要讓所有的媒體有公開競爭的一個機會那我想政府在
transcript.whisperx[314].start 9669.081
transcript.whisperx[314].end 9697.186
transcript.whisperx[314].text 補助跟標案的分配時也可以應該要考慮到如何促進媒體多元性才能夠提升多元媒體的生產好嗎?但是呢我們從目前看到確實有這樣的一個狀況那我們還是覺得你們應該在真正在做這樣的標案的時候應該要去注意到一個媒體多元性的狀況比如說現在看到很多都是民事的很多都是背利的那背利的公司到底是什麼樣子的一個來頭他幾乎都
transcript.whisperx[315].start 9697.506
transcript.whisperx[315].end 9708.375
transcript.whisperx[315].text 客家委員會的表演幾乎都要飆到。這個部分麻煩主委一定要好好的在114年度我們在執行預算的時候一定要好好嚴格來執行。要一天合法。謝謝。好,謝謝。接下來請牛許廷委員。謝謝主席。客家委員會主委有請。好,請主委。
transcript.whisperx[316].start 9737.02
transcript.whisperx[316].end 9758.388
transcript.whisperx[316].text 12月24日,您到苗栗縣公館客家文學花園移轉營運儀式上,針對財化法的修法發表聲明。我把它逐字來念。財化法修正通過之後,所有的預算要減掉28%。客委會補助全台的經費都會受到影響。新的案子沒有辦法補助。舊的案子,像客家花園這個案子的工程部分,有可能會延遲付款。
transcript.whisperx[317].start 9759.088
transcript.whisperx[317].end 9780.279
transcript.whisperx[317].text 全臺灣的案子不只是客家花園,這個有超過200個客語班會無法開班。另外每一個縣市鄉鎮的活動獎勵金,像苗栗厚龍的補助都會減少。還有苗栗縣政府所提的民德水庫景觀以及自行車道建置等大型案子都無法支持。財劃法造成立即性的影響很大,希望苗栗縣政府自行補足案子的經費缺口。你是這樣說的對不對?是,是這樣說的。
transcript.whisperx[318].start 9783.52
transcript.whisperx[318].end 9805.419
transcript.whisperx[318].text 我們就從這個你剛剛說的說法來延伸我們的一些問題第一個從剛剛你講的這個12月24號你講的這些話裡面可以得到幾個狀況第一個財務法通過你知道所有的預算都要減少28%因為你說所有的預算要減28%這個數字非常精準這個是你自己算出來得到的結論還是你收到行政院的命令
transcript.whisperx[319].start 9805.959
transcript.whisperx[319].end 9824.942
transcript.whisperx[319].text 所以才百分之二十八因為有三千人以客家委員會及法庭的依選客家委員會以客家委員會經濟的三千人以內開案的部分差不多就有百分之二十八我的問題是你剛剛講說這是因為三千多億等等算出來的結果我的問題是這是你自己算的還是行政院命令你算的
transcript.whisperx[320].start 9825.222
transcript.whisperx[320].end 9831.085
transcript.whisperx[320].text 我還想問問這問題的原因是因為到底你要節省出3000多億的經費轉給地方這是個事實但是怎麼樣移轉不一定是說通通用有一種方法是大家一起減少
transcript.whisperx[321].start 9849.153
transcript.whisperx[321].end 9876.434
transcript.whisperx[321].text 一定的比例這是一種方法有一種是有一些部會相對來講業務可能沒有那麼重要他刪多一點也許客家的預算根本不會被動對不對請問行政院現在有決定用哪一種方法嗎目前正在合盲聽我們在用我們退股的方式來算我們的輸入影響的比例所以是你自己算的沒有行政院的指揮嘛對不對也還沒有決定嘛對不對沒錯沒錯你們是自己算的嗎沒錯沒錯
transcript.whisperx[322].start 9877.81
transcript.whisperx[322].end 9904.091
transcript.whisperx[322].text 好第二個從你剛剛講的這裡面可以得到就新的案子沒辦法補助表示計劃型補助的預算會大大幅刪減嘛然後你甚至包含舊的已經核定的案子你都有可能會刪減而導致延宕然後你還有講說這個200個客家班會沒辦法開班所以編載這次預算第4幕客家語言發展的經費7億多其中2億多是要全部刪掉嘛對不對然後再來你從你這個裡面講看起來苗栗很慘嘛因為
transcript.whisperx[323].start 9904.972
transcript.whisperx[323].end 9905.192
transcript.whisperx[323].text 最後一個喔?
transcript.whisperx[324].start 9928.511
transcript.whisperx[324].end 9951.571
transcript.whisperx[324].text 從你剛剛這一段言論裡面可以得知的就是說這個減劣的計畫也就是說3減28%的這個計畫在114年就會執行可是剛剛我們講的這幾個問題就是從你那天講的話裡面延伸出來的可是跟現實上好像有很大的落差我現在先問你第一個問題如果按照你自己算的要減劣28%那我們是不是下午審預算的時候我們就直接把它減劣掉你贊成這樣的做法嗎
transcript.whisperx[325].start 9952.051
transcript.whisperx[325].end 9955.312
transcript.whisperx[325].text 三、繼續審查114年度中央政府總預算案關於客家委員會及所屬部分。四、繼續審查114年度中央政府總預算案關於客家委員會及所屬單位預算。
transcript.whisperx[326].start 9975.979
transcript.whisperx[326].end 9994.948
transcript.whisperx[326].text 還是要為客委員會預算來捍衛所以你還是希望可以盡量來通過對不對我們不要去影響客家的補助跟建設嘛拜託嘛你現在又拜託我好那這樣就很奇怪嘛你如果今天又希望說大家這個預算不要剪裂事實上剛剛很多委員也提到了不管是行政院、主計總署、財政部他們現在財政委員會質詢他們都講114年總預算要趕快來通過換言之行政院已經講得很清楚沒有要從編的計畫嘛也沒有要剪裂的一個狀況嘛對不對
transcript.whisperx[327].start 10003.132
transcript.whisperx[327].end 10018.261
transcript.whisperx[327].text 那不簡略對不對是大的原則希望預算通過是你今天講的那你在苗栗那天的說法是不是造謠?呃不是因爲你採訪法立法院已經通過了啊通過了就會招人也要嘗試行那價值我們都都會前提齁那價值真是這樣會發會輸到的影響那個賣的我們就要先講先幹要選出來要本他自己了解要都會試試啦
transcript.whisperx[328].start 10029.195
transcript.whisperx[328].end 10052.943
transcript.whisperx[328].text 主委阿你講的話是會被媒體報導的是會引起鄉親恐慌的為什麼我們可以在地方行程的時候講一套阿今天你在這邊答詢的時候你又變出另外一套為什麼兩套說法沒有同時存在阿我沒有兩套喔我那一套喔主委說他要出的麻煩因為立法院已經通過了他要施設阿那個價值針對他要三千兩億不好意思喔主委
transcript.whisperx[329].start 10054.003
transcript.whisperx[329].end 10066.932
transcript.whisperx[329].text 你如果是一套說法的話那你是不是在那邊就講說程序上會發生這樣的事情你如果是這樣講那大家沒有意見但我們還是希望預算過關然後你在苗栗的時候你這樣講你今天回答質詢的時候你也這樣講大家會不會有問題啊可是問題是
transcript.whisperx[330].start 10069.113
transcript.whisperx[330].end 10076.041
transcript.whisperx[330].text 你在這邊就講說,現在還有一些程序上的問題所以還要等結果,所以希望我們不要去見諫。在前面有講,在前面有講,客家是要通過,要這樣執行的法,在前面有講,客家是要執行的法,要影響到我們的那些油,我們都在窮擁一套的說法。
transcript.whisperx[331].start 10086.874
transcript.whisperx[331].end 10102.906
transcript.whisperx[331].text 在所有的新聞媒體的揭露上面可不會幫你寫這麼多前提條件啊那你今天要不要在今天的質詢結束之後趕快發一個正式的澄清跟說明啊還是按照預算的正常編列程序跟法規的執行之後再做定奪是不是要這樣講我現在還是要做詳細論但是我們立法院通過財發法也會實施啦所以我們建基案呢我會去提供我們首度的影響然後通客家去報告
transcript.whisperx[332].start 10114.595
transcript.whisperx[332].end 10135.308
transcript.whisperx[332].text 我現在要提醒你的就是說如果你明明知道這個有一定的行政程序預算的追加追減也有一定的程序那你就應該在公開的場合講一樣的程序如果你真的已經收到行政院的命令或者是你自己要自我尊潔你已經做好這樣的準備那你今天來這裡備詢的時候你就要講我們哪些計畫要處理今天我們就把它簡列
transcript.whisperx[333].start 10135.928
transcript.whisperx[333].end 10146.892
transcript.whisperx[333].text 那也是一種做法但至少不管是這兩種的哪一種對外對內都是一致的可是你不能對外講的一副很恐怖的樣子對內又講我們要尋程序預算還要照編這就是雙標這就是造謠你對外沒有講一樣的話啊你對外的說法就是要刪減28%你對外的說法是200多個客餘班沒辦法開那是不是預算要刪掉
transcript.whisperx[334].start 10161.778
transcript.whisperx[334].end 10166.159
transcript.whisperx[334].text 財劃法通過之後事權一定要調整我想你那天講的也是希望說如果真的有缺口希望縣市政府用多的統籌分配款來處理沒錯嘛但是你為什麼要為什麼前後要不一致呢
transcript.whisperx[335].start 10185.925
transcript.whisperx[335].end 10213.866
transcript.whisperx[335].text 如果還沒有確定的是不能亂講欸你現在是主委欸現在是主委講出來的話大家都很關心欸是會造成客庄鄉親的恐慌啦本席強烈的建議啦今天在答詢結束之後趕快去媒體那邊把話重新的講清楚要按照程序按照等等經過審慎的討論之後再行調整把你前面的話收回來要不然我們下午預算我也不知道要怎麼審啦因為你一下說要刪一下又說不要刪那到底要不要刪都會遇到這個問題嘛對不對
transcript.whisperx[336].start 10215.948
transcript.whisperx[336].end 10224.752
transcript.whisperx[336].text 希望主委審慎為之啦在對外講的話不要有其他政治帶風向的意圖我提醒你到這裏啦剩下我們下午預算再講謝謝感謝委員來上午兩位周電堂
transcript.whisperx[337].start 10227.709
transcript.whisperx[337].end 10251.987
transcript.whisperx[337].text 欸谷主委你今天打選的時候一直講說假屎怎麼樣假屎怎麼樣我不知道那個翻譯的有沒有讓所有委員聽到你這個假設性假屎如何如何你根本不用不用講所以你之前在台中苗栗那個都是假設性的話那我們假設如果地震來怎麼樣講這些幹嘛根本還沒發生的嘛所以我不知道剛剛所有委員聽聽這個
transcript.whisperx[338].start 10254.872
transcript.whisperx[338].end 10260.382
transcript.whisperx[338].text 上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午
transcript.whisperx[339].start 10263.325
transcript.whisperx[339].end 10289.262
transcript.whisperx[339].text 沒有沒有本席因為聽太多我本來早就要提了所以主委這一塊那個請你尊重會議主席所以主委你這個假屎假屎你從頭到尾都講假屎所以本席就在這裡特別也跟你講你這樣假屎可是寫出來都沒有假屎嘛對不對好那請你回座
transcript.whisperx[340].start 10291.295
transcript.whisperx[340].end 10295.24
transcript.whisperx[340].text 請你尊重主席。接下來請李博義委員。請鼓主委。請鼓主委。
transcript.whisperx[341].start 10306.818
transcript.whisperx[341].end 10327.868
transcript.whisperx[341].text 很巧齁我今天今天其實也為了才化法的問題也是也是要請教你一些才化法的這些之後的這個預算然後包含補助齁然後有客委會有一些預算包含這個我們客家文化產業發展我們要補助客家莊的產業聚落我們要
transcript.whisperx[342].start 10329.08
transcript.whisperx[342].end 10340.696
transcript.whisperx[342].text 補助客家文化的產業設施我們要補助客家莊的地方創生相關產業計畫然後裡面包含資本門、經常門分別有補助大概編列了9億多的預算
transcript.whisperx[343].start 10343.939
transcript.whisperx[343].end 10368.482
transcript.whisperx[343].text 那這個其實主委當然你提出這個擔心跟疑慮也不是沒有道理啦因為我看一下齁在我們立法院上個禮拜通過這個財化法的三讀裡面齁好我們來講客家的客家呃客家鄉親人口最多的這些縣市來講的話齁好我舉個桃園市新竹縣跟苗栗縣
transcript.whisperx[344].start 10369.503
transcript.whisperx[344].end 10397.645
transcript.whisperx[344].text 各在明年度會增加的預算有多少?主委你聽了會不會流淚?我說的流淚是說你總預算多少你要補助人家總預算多少啊?桃園市總預算明年度增加617億新竹縣總預算明年度增加185億啊對不起桃園市我剛剛有一點口誤齁我看到的是整體預算桃園市增加259億
transcript.whisperx[345].start 10399.696
transcript.whisperx[345].end 10400.939
transcript.whisperx[345].text 新竹縣增加185億苗栗縣增加137億主席新竹縣增加185億啦
transcript.whisperx[346].start 10410.782
transcript.whisperx[346].end 10433.416
transcript.whisperx[346].text 那你客委會總年度編列客家文化產業發展的預算是9.38億好你客與客家委員發展總年度編列的預算來主委你總年度編列預算多少?客與總年度是43億人家一個新竹縣一個苗栗縣
transcript.whisperx[347].start 10434.477
transcript.whisperx[347].end 10457.645
transcript.whisperx[347].text 所增加現在還不知道要做什麼事情喔我其實今天是想要來跟主委來討論說好那接下來的事權大家理性來討論吼包含這個主席剛剛雖然對我站在他面前不高興但是我們還是要來理性討論那新主線我不是不高興是你違反議事規則主席還沒請你你不要上台你時間給我暫停
transcript.whisperx[348].start 10459.045
transcript.whisperx[348].end 10461.927
transcript.whisperx[348].text 主席沒有請你上台的時候其實你可以還不用上台你剛剛也不是你的時間啊
transcript.whisperx[349].start 10488.124
transcript.whisperx[349].end 10491.11
transcript.whisperx[349].text 我是主席所以現在可以繼續開始謝謝主席我也很想討論主席
transcript.whisperx[350].start 10499.241
transcript.whisperx[350].end 10518.234
transcript.whisperx[350].text 新竹增加了185億那各位會要補助的這些事權上我們是不是應該做一些理性的討論這個才是我們要的那如果真的國民黨萬一
transcript.whisperx[351].start 10520.097
transcript.whisperx[351].end 10535.01
transcript.whisperx[351].text 的主張是說其實我們當過局處長當過這個部會首長我們知道其實我們都希望可以做很多事情可以跟行政院爭取爭取很多的預算這一本客委的會的預算其實就是這樣爭取來的當
transcript.whisperx[352].start 10538.668
transcript.whisperx[352].end 10566.949
transcript.whisperx[352].text 當整個行政院的預算少了3000多億難免一定會少到可能各部會的預算一定會那客友會必須要做什麼樣的準備要不要來討論這些事權怎麼處理比如說你怎麼去補助比你還有錢的縣市啊這一些資本門的這些補助我們是不是應該坐下來討論啊你現在總預算就比我高這麼多我怎麼補助你啊主委你有沒有大概大概是不是這一套想法另外
transcript.whisperx[353].start 10568.029
transcript.whisperx[353].end 10568.672
transcript.whisperx[353].text 本次會議時間為上午9時至
transcript.whisperx[354].start 10574.11
transcript.whisperx[354].end 10596.944
transcript.whisperx[354].text 我現在也想要推動現在有ChatGPT那ChatGPT裡面也開發出我可以學習英文的ChatGPT那我也希望客委會可以來投資來開發讓國人可以下載免費的ChatGPT可以學習客語的GPT這個各縣市可以拿去做嗎?這還是要找統規事權讓這個客委會這邊來做嗎?那舉例
transcript.whisperx[355].start 10601.347
transcript.whisperx[355].end 10628.532
transcript.whisperx[355].text 客委會其實有到日本那跟客家社團的互動我覺得這個也必須要強烈的鼓勵搞不好以後這些地方政府、客委會出國的預算都會比你還多了啦所以這一些相關的事全會希望主委可以做一個說明來主委你可不可以先回應我面對比你有錢的縣市接下來的補助你有沒有什麼想法
transcript.whisperx[356].start 10629.239
transcript.whisperx[356].end 10635.742
transcript.whisperx[356].text 感謝委員,因為我們的依選其實沒有按到,國研室增加的同屬分配稅款已經比我們合理的依選更多所以我們會提出我們對於事權應該要有一些討論
transcript.whisperx[357].start 10645.467
transcript.whisperx[357].end 10653.37
transcript.whisperx[357].text 當時我想要拜託地方政府將客家的部分依算付入年營主體,所以要將各縣市由客家種的縣市進行。其實這樣分下去我也很擔心,我們想推動這個比如說學客語的APP,搞不好每個縣市都有錢來做一個APP。
transcript.whisperx[358].start 10672.935
transcript.whisperx[358].end 10702.535
transcript.whisperx[358].text 所以這個客家委員會還是要對於這個相關縣市的這些我們還是要具體的趕快來討論事權雖然這個是一個很畸形的立法先把錢拿走沒有討論事權但是確實真的要做事的這些部會就遇到了事權該怎麼樣來處理尤其客家委員會你是預算算很少很少的一個部會那很少很少的部會要來補助縣市政府非常非常非常有錢的這些縣市政府這是前所未有我們希望我們可以
transcript.whisperx[359].start 10703.155
transcript.whisperx[359].end 10708.16
transcript.whisperx[359].text 坐下來好好的討論這些事權要怎麼樣來分配謝謝感謝李委員好接下來請丁學中委員
transcript.whisperx[360].start 10728.803
transcript.whisperx[360].end 10733.564
transcript.whisperx[360].text 感謝主委我欸感謝主席啊我請主委好請主委好在明天吼欸主委吼剛剛大家都在說這個財劃法通過以後吼啊你馬上跳出來說我們整個總預算會少了兩成半欸兩成半到三成左右嗎
transcript.whisperx[361].start 10754.649
transcript.whisperx[361].end 10772.059
transcript.whisperx[361].text 平均平均用平均來算我想請問主委那今年我們的預算有沒有少了兩兩成瓜目前我們在那EV主委選各州都提出來所以目前我們在州的年變的預算來送出來
transcript.whisperx[362].start 10773.576
transcript.whisperx[362].end 10779.4
transcript.whisperx[362].text 那中央政府有沒有要說要重編預算?目前還沒有講還沒有嗎?所以這兩成瓜的預算你是怎麼算的?因為用財發法通過的3000兩億來算,加上法定的支出以後,平均的比率就是28%這樣來算
transcript.whisperx[363].start 10801.846
transcript.whisperx[363].end 10818.492
transcript.whisperx[363].text 所以明年還沒有要執行這個財法法?因爲法院立法院三途通過目前行政院有數度有政策出來很恐怖所以很忙實行很忙正式審核實行
transcript.whisperx[364].start 10822.537
transcript.whisperx[364].end 10847.987
transcript.whisperx[364].text 我是感覺我們政府我們的執政團隊我們的一言一舉是受國家以及全世界的一個矚目包括我們各位執政團隊你們所發言的是不是會造成地方上民眾的一個恐慌我們可能要以這個問題為優先才好法規我們是要讓我們每一個官員都可以平均
transcript.whisperx[365].start 10852.625
transcript.whisperx[365].end 10859.292
transcript.whisperx[365].text 來懇求我們這個統籌分配款的獎項,可以來替代我們的社福,要是建設,可以來獎項更加落實,並不是說要把金融衝向那一層。這個過分,如果要給我們注意水平一個。還有一項,就是說
transcript.whisperx[366].start 10872.657
transcript.whisperx[366].end 10887.043
transcript.whisperx[366].text 我們客家委員會這幾年增加了很多我們這個客家行銷傳播的經費我們有看那個拍一些國際大片來做宣傳請問我們那些拍的影片的內容是什麼
transcript.whisperx[367].start 10887.813
transcript.whisperx[367].end 10888.213
transcript.whisperx[367].text 本次會議時間為上午9時至本次會議時間為上午9時至
transcript.whisperx[368].start 10911.732
transcript.whisperx[368].end 10917.174
transcript.whisperx[368].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[369].start 10925.243
transcript.whisperx[369].end 10932.81
transcript.whisperx[369].text 明顯分裂群組的一個過去發生的一個慘劇。但是我會把主委過過的就是說,空氣剛好而已,已經過去了。我們現在還要用政府主權來把那個過去又給空給流廢。
transcript.whisperx[370].start 10945.382
transcript.whisperx[370].end 10953.531
transcript.whisperx[370].text 對嗎?所以我們這個,如果經過這個程序,同樣是這樣的這個做法,我們國家,我們人民,那個融合,大家和氣之氣,永遠都不會,永遠不會產生大家都有那個和氣之那個狀況。
transcript.whisperx[371].start 10965.626
transcript.whisperx[371].end 10968.848
transcript.whisperx[371].text 主委應該我們也有宣導那個照片的嘛有我們也有宣導酒駕的嘛有對啊啊那個照片的那個是警政署的我們也幫他宣導那個那個酒駕的
transcript.whisperx[372].start 10994.468
transcript.whisperx[372].end 10995.569
transcript.whisperx[372].text 午9時至上午9時至上午9時至上午9時至
transcript.whisperx[373].start 11012.398
transcript.whisperx[373].end 11015.481
transcript.whisperx[373].text 所以我的意思是說我們國家要帶人民走向正向,我們不要再政治化了好不好?
transcript.whisperx[374].start 11031.596
transcript.whisperx[374].end 11032.917
transcript.whisperx[374].text 我們客人會應該把我們客家的優美優美的傳統把我們客家優美的特色我們呈現出來這樣是
transcript.whisperx[375].start 11047.022
transcript.whisperx[375].end 11047.582
transcript.whisperx[375].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[376].start 11077.478
transcript.whisperx[376].end 11096.007
transcript.whisperx[376].text 首先是學習客語我們學習語言將要從小開始學習起。客委會有這個客語沉浸式教學計畫在客家文化重點發展推動全客語幼兒園這個部分我們最近發展的怎樣?
transcript.whisperx[377].start 11096.932
transcript.whisperx[377].end 11098.673
transcript.whisperx[377].text 現在我們在全台灣都有推動一位議員曾經是教學,現在提供一位議員,我們不出本意,曾經是教學差不多52%都用合法來講,應該是800人辦
transcript.whisperx[378].start 11119.063
transcript.whisperx[378].end 11130.509
transcript.whisperx[378].text 報告主席我再一點點時間就好我跟那個主委再探討一下我知道我們第一個這個第一個學年的成果是怎樣推動這個這個沉浸式秀兒園的
transcript.whisperx[379].start 11143.791
transcript.whisperx[379].end 11168.745
transcript.whisperx[379].text 我們執行第一個學年目前全行業的幼兒園在他們的院室有8個院所是不是有77個幼兒園的3000多個小朋友獲得補助?有有有,有那些成金社這其中有幾家是全課以教學的
transcript.whisperx[380].start 11169.09
transcript.whisperx[380].end 11171.013
transcript.whisperx[380].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[381].start 11185.349
transcript.whisperx[381].end 11188.772
transcript.whisperx[381].text 一年兩屆,目前是八屆嗎?目前是八屆,我希望我們客語真的是一個我們台灣的一個很美妙的一個語言,希望如果我們落實,向下扎根,讓我們小朋友能確實的學習到我們客語的一些精華,我期待我們主委可以繼續來推動。
transcript.whisperx[382].start 11211.707
transcript.whisperx[382].end 11222.093
transcript.whisperx[382].text 我們一天會給審問內用力以為要以學校發起最好的一個結團,學行業最好的結團。好,感謝主委,感謝主席。接下來請黃婕委員。
transcript.whisperx[383].start 11238.868
transcript.whisperx[383].end 11241.756
transcript.whisperx[383].text 下午9時至上午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午
transcript.whisperx[384].start 11248.621
transcript.whisperx[384].end 11274.919
transcript.whisperx[384].text 主委先跟你請教一下因為財化法三讀通過已是繼承的事實我相信全國人民也都看到了那您在地方上講的這些事情我覺得現在也有必要讓大家知道說這個財化法三讀通過之後到底對客委會會有什麼直接的影響可不可以告訴我說這樣對於客委會的預算來說到底會少幾成然後可能會影響什麼項目
transcript.whisperx[385].start 11276.161
transcript.whisperx[385].end 11278.984
transcript.whisperx[385].text 跟議員報告,也要採訪法院的三前兩議。因為目前行盲作出確定的政策,但是我們在前提,即使只有案例,分批替各部份全部會減少28%。
transcript.whisperx[386].start 11295.423
transcript.whisperx[386].end 11303.605
transcript.whisperx[386].text 在我們客家委員會的議室內,社會的部分,因為我們所擁有的基疫若性的輔助,所以我們對提防政府的輔助,對沙團的輔助,還有我們其他推動的,全部、全面會鑑賞金費。
transcript.whisperx[387].start 11314.295
transcript.whisperx[387].end 11329.98
transcript.whisperx[387].text 好,我這邊想要誠摯的建議你你不只應該要講而且要講得更大聲而且你應該要更明確的告訴大家接下來到底什麼項目會受到影響那剛剛其實有很多委員提到說
transcript.whisperx[388].start 11330.76
transcript.whisperx[388].end 11335.844
transcript.whisperx[388].text 這個說他們砍了3700億中央部會的預算然後又地方的補助還不能少那什麼意思代表說你們中央接下來沒錢但你們還是要做事那地方拿了錢卻可以不做事這個理論我聽了是覺得非常荒謬啊其實大家知道編預算是先有事才有錢
transcript.whisperx[389].start 11353.92
transcript.whisperx[389].end 11379.481
transcript.whisperx[389].text 你要知道要做什麼你才來編預算啊怎麼會地方拿了這三成之後不知道要做什麼但是告訴你說中央的錢不能少你們要做的事情還是得繼續做有這種道理嗎那剛剛我聽到幾個更荒謬的啊他們非常敢做不敢當就是說你在地方上不准你講不准我們主委在地方告訴大家客委會的預算會減少
transcript.whisperx[390].start 11381.703
transcript.whisperx[390].end 11397.2
transcript.whisperx[390].text 這個財化法三讀通過不是已經是既定的事實嗎?全台灣人民也都一清二楚為什麼不准我們部會在地方張揚呢?什麼意思?這等於是說跟你喜結一空但是還不准你張揚,不准你呼救
transcript.whisperx[391].start 11398.556
transcript.whisperx[391].end 11423.335
transcript.whisperx[391].text 這完全是土匪的行徑我在這邊非常嚴厲的譴責那我也必須要拜託主委的是其實這些事情的討論就是到底要多少預算做多少事被砍了多少錢多少事情不能做這個都是應該在財化法討論的時候在委員會在院會就應該要清楚的討論而不是到現在先非常慌亂的這種強硬通過之後三讀了
transcript.whisperx[392].start 11427.158
transcript.whisperx[392].end 11451.46
transcript.whisperx[392].text 現在我們才在討論可能會影響什麼項目都太慢了都太遲了所以我要拜託主委的是客委會到底哪一些預算項目會明確的受到影響你們應該要清楚的告訴大眾而這些事權是不是應該跟地方政府趕快的來做討論告訴地方政府說這個錢回歸地方那事情也應該回歸地方啊
transcript.whisperx[393].start 11452.581
transcript.whisperx[393].end 11474.222
transcript.whisperx[393].text 所以我要拜託主委也是客會其實今天回應的還是不夠清楚到底哪一些項目受到影響其實我們到現在也都還不知道因為你們還在決定嘛是這個意思嘛告訴大家說對真的會減少三成但是哪一些項目被刪了被砍了你們不知道是這樣子嗎
transcript.whisperx[394].start 11475.103
transcript.whisperx[394].end 11481.889
transcript.whisperx[394].text 可不可以請主委回覆?我同意委員報告,就客家市增設案內的情況之下,28%為所要用的全部合理費的預算,包括資本門及金錢體的新的檢查案都會停下
transcript.whisperx[395].start 11496.601
transcript.whisperx[395].end 11498.003
transcript.whisperx[395].text 二、審查客家委員會及所屬部分。三、繼續審查客家委員會及所屬部分。
transcript.whisperx[396].start 11512.644
transcript.whisperx[396].end 11514.907
transcript.whisperx[396].text 財政委員會提到強硬、支持強硬、貴賭契及家鄉部份的認輸及金費也會受到影響。因應合理費的預算及全部基金的預算,貴賭契及金費都會受到影響。
transcript.whisperx[397].start 11532.918
transcript.whisperx[397].end 11548.415
transcript.whisperx[397].text 好謝謝主委的說明剛剛說的這些項目也請拜託主委就是讓大家知道因為你們這些錢被砍了所以這些事情就是應該要回歸地方那不然這些計劃型的補助到底要怎麼來施做呢
transcript.whisperx[398].start 11549.619
transcript.whisperx[398].end 11579.254
transcript.whisperx[398].text 好那再來還有點時間我跟主委請教一下這個最近有收到很多這個客家統戰團的消息我想要問主委有沒有手上有沒有相關的資訊那你有沒有掌握這種交流團那就我手上知道的資訊包括說全國的臺聯主辦的2024年臺灣青年客家文化演習然後中國國台辦統戰部他們也有辦一個臺灣客籍子弟原鄉文化尋根之旅
transcript.whisperx[399].start 11579.834
transcript.whisperx[399].end 11594.5
transcript.whisperx[399].text 這些很明確都是他們的統戰單位邀請台灣的客家子弟來做以假文化交流之名行統戰之實的內容。我不知道主委這邊有沒有掌握有的話你們有什麼因應的措施?
transcript.whisperx[400].start 11595.38
transcript.whisperx[400].end 11602.505
transcript.whisperx[400].text 我認為在一個平坦準確的年責之下,我們可以錄一段考慮,但是那是違反了年責,我想我們也沒有同意。在學費方面來說,目前不會去支持這樣的考慮的預算的補儲,所以目前我們先不做這樣的補儲。
transcript.whisperx[401].start 11621.445
transcript.whisperx[401].end 11649.711
transcript.whisperx[401].text 好這個要拜託我因為這個其實是陸委會主管的業務但是我也希望說既然他都是特別針對客家的子弟而且大家也知道說中國現在特別喜歡針對台灣年輕人的首來族就是讓你在不知情的情況下邀請台灣的年輕人去交流把你當成統戰的樣板這個都是現在新聞都已經揭露的非常清楚的事實所以我也希望說客人會這邊也要有所掌握並且跟陸委會合作來協助管控這樣的風險好嗎
transcript.whisperx[402].start 11650.731
transcript.whisperx[402].end 11654.993
transcript.whisperx[402].text 好,沒問題感謝王委員好,謝謝主委好,接下來請吳祈明委員好,主席我們與會同仁請我們客委會我們的股主委好,要請主委
transcript.whisperx[403].start 11685.224
transcript.whisperx[403].end 11707.338
transcript.whisperx[403].text 主委早上我看很多委員大家都關心的我們的財務法通過三讀通過那對我們未來我們客委會的預算的執行的情形應該會是會大大受影響那這邊因為我們現在大家都在注重的就是推廣我們客家的語言
transcript.whisperx[404].start 11707.958
transcript.whisperx[404].end 11709.74
transcript.whisperx[404].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[405].start 11729.761
transcript.whisperx[405].end 11734.725
transcript.whisperx[405].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[406].start 11758.303
transcript.whisperx[406].end 11760.844
transcript.whisperx[406].text 5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至
transcript.whisperx[407].start 11784.651
transcript.whisperx[407].end 11788.544
transcript.whisperx[407].text 那未來我想請問一下主委未來會不會受影響
transcript.whisperx[408].start 11789.762
transcript.whisperx[408].end 11794.125
transcript.whisperx[408].text 客家市財發法行政院最后的廳辦會審國府費的遺申,不過比例的一度,度度小小會影響,目前我們擁有的三千人以來退估國府費,我會審的遺申在2028的情況之下影響,一定我會影響,我的影響當然是自己要判理的,要我影響要補儲提供政府的遺申。
transcript.whisperx[409].start 11819.975
transcript.whisperx[409].end 11824.861
transcript.whisperx[409].text 二、審查客家委員會及所屬部分。三、繼續審查客家委員會及所屬部分。二、審查客家委員會及所屬部分。二、審查客家委員會及所屬部分。
transcript.whisperx[410].start 11837.011
transcript.whisperx[410].end 11839.752
transcript.whisperx[410].text 午10時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[411].start 11854.158
transcript.whisperx[411].end 11875.383
transcript.whisperx[411].text 算是說東西說東西也是做了滿成功的還有我們那個童話本席因為我還是關心我們新北市這邊你過去所推動的我們還是要繼續的來推動我認為這是應該民眾最能接受的最能讓我們年輕人最能接觸我們的客家的
transcript.whisperx[412].start 11875.883
transcript.whisperx[412].end 11878.224
transcript.whisperx[412].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[413].start 11904.067
transcript.whisperx[413].end 11909.171
transcript.whisperx[413].text 那是說我們的依存作為平時年內當然年內的顧慮我們都會做得好那是說有三個顧慮一定會變更小也會變更小也一定會受到影響當然我還希望作為一來一退一來一倒作為持續下去判
transcript.whisperx[414].start 11929.019
transcript.whisperx[414].end 11939.186
transcript.whisperx[414].text 好的,因為也要拜託我們趙偉,趙偉是客家人,又是新竹人,趙偉這你一定要幫忙客,客委會。好,謝謝。好,感謝。好,接下來請徐巧欣委員。謝謝主席,我們請谷主委。好,要請谷主委。
transcript.whisperx[415].start 11961.981
transcript.whisperx[415].end 11984.701
transcript.whisperx[415].text 主委好。您今天一直在講說在財化法通過之後我們客委會的預算會變少。可是我在上一次本席在這裡問你的時候,包含疫名記的補助來說全台灣就已經變少了。那個時候沒有財化法。跟委員報告全台灣的客家的法律一路引渡。
transcript.whisperx[416].start 11987.002
transcript.whisperx[416].end 12005.658
transcript.whisperx[416].text 國委院的是最重要的,我們召委也知道嘛,最重要的節日就是義民祭嘛。當時沒有財化法的情況之下,義民祭的全台灣補助包含台北市的補助都變少了。那時候我還說你為什麼不去幫忙爭取更多的預算,然後你只說你會努力。所以代表什麼?
transcript.whisperx[417].start 12006.138
transcript.whisperx[417].end 12011.322
transcript.whisperx[417].text 代表在財劃法通過之前,我們客人會向中央爭取的補助就已經減少了,不是嗎?但為什麼議民際的預算會全國都減少?
transcript.whisperx[418].start 12031.357
transcript.whisperx[418].end 12046.072
transcript.whisperx[418].text 所以按多個情況待下可以撫貼子眼就姑聽今天很多人也問到你在台中跟在苗栗不斷的去講說以後沒有辦法有能力照顧地方了但我想請問一下您所說的經費裡面來說的話有多少是中央核定的預算不是輔助型的預算
transcript.whisperx[419].start 12054.861
transcript.whisperx[419].end 12062.084
transcript.whisperx[419].text 全部都是計劃型預算?全部都是計劃型預算。那我問你齁,我來問你一下。我們在這個預算書裡面,在預算書裡面,所謂的客家議員發展進化的總經費有沒有編列?編列了多少錢?有,我拿一下預算書。議員發展有兩項,兩項項目,一個是31年,一個是11年。請問選了沒有?
transcript.whisperx[420].start 12080.092
transcript.whisperx[420].end 12082.635
transcript.whisperx[420].text 目前很忙。那請問財政相關部門有要重編預算嗎?目前很忙。沒有的話為什麼你會認為預算會減少?因為財務法已經提出
transcript.whisperx[421].start 12094.969
transcript.whisperx[421].end 12095.329
transcript.whisperx[421].text 因為我問的是明年嘛
transcript.whisperx[422].start 12111.943
transcript.whisperx[422].end 12134.626
transcript.whisperx[422].text 明年呢你預算根本還沒審啊明年你預算書編在這裡你在還沒審的情況下你就告訴地方說中央接下來沒有能力照顧地方這是錯假訊息啊我再問你國家客家發展計劃客家地方發展計劃的統籌相關國家委員整體發展方案多少錢?目前編期一呢
transcript.whisperx[423].start 12135.819
transcript.whisperx[423].end 12139.522
transcript.whisperx[423].text 會影響嗎?明年會變少嗎?目前目前照案的詳細來講,客家是通過採訪法,採訪法,問的是明年度我們審查預算都還沒有出來的情況下,明年會變少嗎?你的預算書會改嗎?目前還沒要重新變預算的,那個,沒有改變嗎?
transcript.whisperx[424].start 12157.475
transcript.whisperx[424].end 12162.699
transcript.whisperx[424].text 最後40秒我們看一下你們說沒有錢結果你們在做什麼登廣告啊我問一下客委會去登你這個廣告花了多少錢這一篇這一篇你花了多少錢上面寫是贊助哦你不要跟我說我沒有自己長眼睛看一下贊助兩個字是什麼意思
transcript.whisperx[425].start 12184.773
transcript.whisperx[425].end 12186.417
transcript.whisperx[425].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[426].start 12189.625
transcript.whisperx[426].end 12195.247
transcript.whisperx[426].text 你呢為了要在財劃法之後到處的造謠跟抹黑製片我敢理應報告我敢理應報告他會喊那個我能去提訪通託電力inviti汪子國小幹然後你在汪子國小裡面講說你們沒有辦法再協助地方了然後你去做了一個你去做了一個臉書的天文就在講這件事情我問你贊助這一篇臉書的文章花了多少經費只要回答我這件事情就好了
transcript.whisperx[427].start 12219.133
transcript.whisperx[427].end 12246.266
transcript.whisperx[427].text 我只問這麼一天兩萬多塊錢用這個東西在造謠告訴地方說以後沒有辦法擺不住我剛剛已經為了明年度的預算根本還沒有審查根本還沒有審查預算也沒有要重編怎麼會影響到地方呢在這種情況之下你們花兩萬塊告訴全國的人民一個不對的事實拜託請客委會不要再做這樣的事情了謝謝
transcript.whisperx[428].start 12253.45
transcript.whisperx[428].end 12256.131
transcript.whisperx[428].text 謝謝徐小新委員的質詢謝謝我們谷主委接下來請徐欣盈委員質詢謝謝主席請谷主委請谷主委
transcript.whisperx[429].start 12276.723
transcript.whisperx[429].end 12280.346
transcript.whisperx[429].text 財政收支劃分法一通過之後你就在地方這樣發言
transcript.whisperx[430].start 12299.71
transcript.whisperx[430].end 12300.771
transcript.whisperx[430].text 二、審查客家委員會及所屬部分。
transcript.whisperx[431].start 12317.961
transcript.whisperx[431].end 12328.885
transcript.whisperx[431].text 下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時至下午10時
transcript.whisperx[432].start 12336.151
transcript.whisperx[432].end 12349.548
transcript.whisperx[432].text 這個客委會的主委一定要是客家人他代表客家鄉親但是讓客家鄉親覺得主委你好像是行政院的發言人耶你好像是主記長耶你更像是民進黨黨團的發言人
transcript.whisperx[433].start 12351.63
transcript.whisperx[433].end 12366.984
transcript.whisperx[433].text 客家客家客委會的主委你應該看到這樣的情況第一個反應你應該是要替客家鄉親爭取更多的經費讓我們客家文化可以保存
transcript.whisperx[434].start 12367.705
transcript.whisperx[434].end 12381.559
transcript.whisperx[434].text 更不要講說今天那麼多委員在質詢很多你我等一下也會講你客家特別重要的經費你一直遞減然後非客家區你的錢一直增加這就是最大的問題所以財政收支劃分法通過
transcript.whisperx[435].start 12386.713
transcript.whisperx[435].end 12405.179
transcript.whisperx[435].text 行政院都還沒有給你們指示也都還沒有跟大家有共識也還沒有要你們去調整結果你的膝蓋就反應了你怎麼可以這樣客家人非常非常的反彈還有客家鄉親也對您非常非常的失望
transcript.whisperx[436].start 12405.999
transcript.whisperx[436].end 12425.072
transcript.whisperx[436].text 我希望您從今天開始你一定要改變你是客委會的主委你是幫客家鄉親爭取權益你是要保存客家文化的你不是民進黨的發言人你更不是行政院的發言人所以我還沒有請你講好不好所以我要請主委接下來
transcript.whisperx[437].start 12431.781
transcript.whisperx[437].end 12460.588
transcript.whisperx[437].text 不論如何我們要請你要持續的來爭取我們客家鄉親應該有的各種活動各種文化保存各種的經費那這個我想您應該也知道本來你客人會的經費比大部分的縣市都少但是你就是針對有些活動你在協助嘛還有有些客家相關的建設你這邊協助嘛好接著我要很快的趕快來講
transcript.whisperx[438].start 12464.603
transcript.whisperx[438].end 12483.668
transcript.whisperx[438].text 我們六都啊,六都裡面本席請教你,六都裡面客家人口占比最高的是哪一都?呃,占比,呃,新竹,新竹沒有沒有,六都啦,欸,六個直轄市啊,欸,桃園市,桃園市,桃園市客家人占比39.9,40%的客家人,那
transcript.whisperx[439].start 12487.709
transcript.whisperx[439].end 12513.632
transcript.whisperx[439].text 六都裡面客家人口最高的總數,不是比例,是總數最高的是哪一個?沒有啦,桃園還是最高,現在還有90萬,對,桃園還是90萬。第二高的就是你說的新北市,但是本席看到我們客委會歷年補助直轄市的經費統計,
transcript.whisperx[440].start 12515.902
transcript.whisperx[440].end 12542.436
transcript.whisperx[440].text 都沒有按照客家人的比例在在給啊臺北市不是排第客家比例站第三名也也佔了17.4他的人口數總數也在這個六都裡面也是第四名結果你臺北市給的最少最少最少等一下還沒請你講結果高雄市台南市
transcript.whisperx[441].start 12543.836
transcript.whisperx[441].end 12557.421
transcript.whisperx[441].text 這個客家佔比就是六都裡面最後兩名結果你的經費給的特多特多不斷的多特別我覺得很好笑是台南台南市為什麼這個經費給這麼高所以本席要再次強調呼應我剛剛講的你是客委會主委
transcript.whisperx[442].start 12564.284
transcript.whisperx[442].end 12564.584
transcript.whisperx[442].text 本次會議時間為上午9時至本次會議時間為上午9時至
transcript.whisperx[443].start 12586.192
transcript.whisperx[443].end 12590.895
transcript.whisperx[443].text 我們的政務副主委為什麼遲遲未上任?原因是什麼?
transcript.whisperx[444].start 12605.623
transcript.whisperx[444].end 12607.765
transcript.whisperx[444].text 主委,我們客家人是不是人才濟濟?你認不認為客家人人才濟濟?所以找不到人啊?到這麼久都還沒有上任?
transcript.whisperx[445].start 12621.379
transcript.whisperx[445].end 12639.97
transcript.whisperx[445].text 所以是怎麼樣?所以人事預算可以刪囉?因為你都沒有上任嘛?那是到底什麼原因?你就是只鎖定一個我們客家人既然人才濟濟為什麼你就是鎖定一個然後他沒有辦法放下他的工作?那你詢問的每一個,你問了幾個?幾個嘛,你問了幾個?那
transcript.whisperx[446].start 12649.296
transcript.whisperx[446].end 12661.741
transcript.whisperx[446].text 問了那麼多都沒有一個可以來就任他要不要我們推薦一下可以馬上就任優秀的客家人所以你看再來再來客委會我們的委員27人你有看一下你們的網站嗎網站現在放的是2020年的
transcript.whisperx[447].start 12675.749
transcript.whisperx[447].end 12677.111
transcript.whisperx[447].text 5時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[448].start 12687.337
transcript.whisperx[448].end 12710.873
transcript.whisperx[448].text 我剛剛才看我剛剛才上網看什麼原因為什麼現在客委會這27個都沒有沒有跟你是有更新網站沒更新還是你這27個人其實這個都是客家鄉親跟本席反映的為什麼我們客客家人才基金你副主委行政副主委找不到好政務副主委找不到然後呢我們客委會的委員
transcript.whisperx[449].start 12711.693
transcript.whisperx[449].end 12716.097
transcript.whisperx[449].text 足足一年不用聘任嗎?已經聘了。已經聘了。網頁沒有更新。網頁是沒有編金費?還是編太多都不用改?我們會更新。
transcript.whisperx[450].start 12727.734
transcript.whisperx[450].end 12746.179
transcript.whisperx[450].text 所以這個會議很多啊還有啊剛剛大家講的啊疫名祭的相關活動啊確實啊這個我們這個疫名祭是這麼重要的客家的活動竟然新北市的疫名祭你就從480萬給它降到100萬新竹縣的也從400萬降到200萬
transcript.whisperx[451].start 12752.04
transcript.whisperx[451].end 12762.283
transcript.whisperx[451].text 但是呢,屏東6堆春節季薄公生的活動315萬增加到362萬6堆的秋收季又從154萬提高到349萬所以主委
transcript.whisperx[452].start 12776.345
transcript.whisperx[452].end 12778.547
transcript.whisperx[452].text 二、審查客家委員會及所屬部分。
transcript.whisperx[453].start 12795.362
transcript.whisperx[453].end 12812.447
transcript.whisperx[453].text 下午9時至上午9時至下午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時
transcript.whisperx[454].start 12819.943
transcript.whisperx[454].end 12835.843
transcript.whisperx[454].text 正正全委員、正正全委員、正正全委員不在。楊瓊英委員、楊瓊英委員不在。高金樹梅委員、高金樹梅委員、高金樹梅委員不在。請一人職委員質詢。
transcript.whisperx[455].start 12849.383
transcript.whisperx[455].end 12851.786
transcript.whisperx[455].text 主委你知道我們板橋區多少客家人嗎?
transcript.whisperx[456].start 12864.278
transcript.whisperx[456].end 12883.29
transcript.whisperx[456].text 上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時
transcript.whisperx[457].start 12893.376
transcript.whisperx[457].end 12915.613
transcript.whisperx[457].text 但是沒有提出一個對都會客家一個比較完整的政策然後甚至於補助我認為都對我們雙北就是都會客家補助其實都不夠啦剛剛徐慶偉也有提到藝名祭本來110年的時候藝名祭是補助我們新北市400萬那113年剩100萬桐花祭110年的時候是補助250萬那現在是剩140萬
transcript.whisperx[458].start 12924.46
transcript.whisperx[458].end 12940.58
transcript.whisperx[458].text 為什麼會這樣子啊就是說好像對於我們客家都會客家的部分補助越來越少在舉辦活動方面因為我們新北市移民祭是傳統各家非常大的活動我每年都有去那個在內活動裡面所有的客家社團一起參與
transcript.whisperx[459].start 12941.681
transcript.whisperx[459].end 12956.053
transcript.whisperx[459].text 然後各我們新北的各界的客家的一些前輩也都會來大家非常開心這是一個很大盛會結果感覺好像客會不是那麼支持啊現在的預算只剩下以前的四分之一這為什麼會這樣啊
transcript.whisperx[460].start 12958.515
transcript.whisperx[460].end 12963.357
transcript.whisperx[460].text 議員報告兩部份,一部份是因為合約費推薦案導引,一來導引了解客家文化、氣氛客家文化及參議客家文化。故所謂一來要討團體、團、法同、各體、各縣市政府
transcript.whisperx[461].start 12975.603
transcript.whisperx[461].end 12982.873
transcript.whisperx[461].text 昨天的部署一定會停署,所以按照情況,因為我們的醫生很悠閒,所以分批下來也緊批很悠閒。沒有,主委不好意思,我不能接受這樣的說法。
transcript.whisperx[462].start 12991.664
transcript.whisperx[462].end 13012.624
transcript.whisperx[462].text 因為你的講法是說因為太多人辦活動經費有限所以我就把這些旗艦型的活動把它減少沒有人是這樣子搞的啦工廠客家活動大的活動旗艦型活動都要維持嘛你寧可把餅分給大家隨便讓大家去弄反而不讓說有一個旗艦型的活動讓大家真正可以參與客家文化我非常不贊同你這樣做法第二個
transcript.whisperx[463].start 13014.085
transcript.whisperx[463].end 13037.559
transcript.whisperx[463].text 我們都會客家其實面對到客語的推廣更重要為什麼因為像傳統客庄他們有那個比較好的客語環境嘛但我們比如說以我們板橋來講他是都市比較都會區的大家分散在各個地方所以客語會在今年今年有一個預算500多萬給新北市是做客語家庭嘛為什麼明年沒有了還忙審查還忙審查會補助多少還忙
transcript.whisperx[464].start 13042.662
transcript.whisperx[464].end 13057.247
transcript.whisperx[464].text 審查我知道嘛但是審查你是要先提提你要變多少預算要幫他審查?你要變多少?先不提客家行業家庭的部分我會用力我會慶賓新北很用力我知道我現在說客人會不用力多少?因為我們行業家庭跟行業層間幾乎並窮下位所以他沒有另外一端套起來什麼並列?
transcript.whisperx[465].start 13070.562
transcript.whisperx[465].end 13085.179
transcript.whisperx[465].text 下午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時至上午11時
transcript.whisperx[466].start 13085.499
transcript.whisperx[466].end 13099.841
transcript.whisperx[466].text 明年變390萬至增加78萬但是我們今年113年的客與家庭計畫是564萬所以你把我們的564萬取消了增加78萬到客與深耕計畫
transcript.whisperx[467].start 13101.192
transcript.whisperx[467].end 13112.861
transcript.whisperx[467].text 你覺得那個比例會不會差太多?因為新北市不知道你把客語家庭計畫把它取消了嘛新北市客語家庭找了一千多個不是你沒有經費補助嘛多少嘛多少嘛你現在就講嘛
transcript.whisperx[468].start 13128.686
transcript.whisperx[468].end 13130.649
transcript.whisperx[468].text 三百九十幾萬,三百九十幾萬是克里申根計劃嘛!
transcript.whisperx[469].start 13143.311
transcript.whisperx[469].end 13161.901
transcript.whisperx[469].text 你是主委,你的資料還沒有我詳細喔?你現在是客語生根計畫,我知道啊,390萬啊。但是今年本來就有312萬的客語生根計畫啊。所以實際上今年,明年只比今年多78萬嘛。可是今年有編一個客語家庭計畫。
transcript.whisperx[470].start 13162.921
transcript.whisperx[470].end 13163.541
transcript.whisperx[470].text 五百六十四萬。
transcript.whisperx[471].start 13175.799
transcript.whisperx[471].end 13189.828
transcript.whisperx[471].text 就少500多萬嘛我現在是拿數字跟你講嘛那500多萬去哪裡了我們的移民記憶也被減少了我們的童話記憶也被減少了我們今年的客語家庭計畫500多萬沒有了然後客語深耕計畫多78萬那個是深耕計畫我講的是客語家庭計畫不要給我在那邊
transcript.whisperx[472].start 13205.217
transcript.whisperx[472].end 13231.073
transcript.whisperx[472].text 我講是客與家庭計劃客與家庭成立了一千多個很多家庭報名參加然後新北市政府也配套鼓勵他們多講母語然後讓他們參加活動然後弄了很多有關的配套方案結果忽然間客委會把這500多萬取消了然後再升任計劃多了78萬然後就說這個是客家家庭計劃然後主委講半天你就是沒有告訴我這多個500多萬為什麼新北市客家人
transcript.whisperx[473].start 13231.693
transcript.whisperx[473].end 13236.355
transcript.whisperx[473].text 六十幾萬,不是客家人嗎?我跟委員報告齁,我從頭講,今年以前行業家庭跟尋經基金會那兩位基金會明年以後兩位合共合共同來申請基金會。我知道,對方申請就是390萬嘛,就是390萬嘛,不要再鬼打牆了,錢就是少很多,你現在是講說新北市政府沒有來申請是不是?
transcript.whisperx[474].start 13258.883
transcript.whisperx[474].end 13276.418
transcript.whisperx[474].text 還沒有審查到其他計劃嗎?還是說其實實際上你們跟他們講說沒有那個母語計劃你們不知道他們不知道說客語家庭計劃並到生根計劃有確定?我得到的消息不是這樣喔那如果說今天你透過這樣的一個質詢過程你講說喔還有錢金美智可不可以繼續來申請
transcript.whisperx[475].start 13285.305
transcript.whisperx[475].end 13290.827
transcript.whisperx[475].text 五百六十四加三百一十二是八百七十六萬。是八百七十六萬。那你現在只有三百九嘛。所以他還有五百多萬的空間可以申請是這樣嗎?你的意思是這樣嗎?
transcript.whisperx[476].start 13311.113
transcript.whisperx[476].end 13322.857
transcript.whisperx[476].text 因為主委因為新北市政府的人現在不在這邊但是沒關係就我跟你的對答你的講法是說是他們沒有來申請所以給的這麼少嘛但是我得到消息不是這樣我得到消息是說客委會你把那個計畫取消那沒有關係啦
transcript.whisperx[477].start 13336.921
transcript.whisperx[477].end 13355.274
transcript.whisperx[477].text 那你已經承諾了嘛今天只要新北市政府認為有需要比如說客與家庭他還可以來申請嗎是不是這個意思嗎有需求就可以申請嘛那今年跟明年比其實是客委會目前是少補助500多萬嘛所以他還有很大空間可以申請嗎這主委你直接承諾就可以了嘛
transcript.whisperx[478].start 13355.734
transcript.whisperx[478].end 13376.808
transcript.whisperx[478].text 因為我來自於地方我們要幫地方爭取預算你如果願意承諾我我覺得就OK啦就沒什麼要跟你吵的啊是不是沒有錯沒有錯我們會跟新北市講說對跟新北市講說可能你們你們中央地方政府溝通之間有問題啦應該是有問題啦應該是應該是有問題啦應該是有問題啦因為我得到的消息不是這樣不過沒有關係我們不用去吵這些我們把事情做好就好
transcript.whisperx[479].start 13384.133
transcript.whisperx[479].end 13410.788
transcript.whisperx[479].text 那基本上你願意再多給我們五百多萬我覺得謝謝你啊我代替我們新北市的對就這個地方如果願意申請你願意給嗎就是這樣子嘛然後另外就是藝名祭跟童話祭啦我希望說你可以維持我們旗艦行的活動啊四百萬的活動你只補助一百萬這是最大的活動這個是讓客家文化大家一起在一起嘉年華式的活動結果你只給一百萬好像很看不起這個活動我非常不能接受啦
transcript.whisperx[480].start 13411.948
transcript.whisperx[480].end 13432.84
transcript.whisperx[480].text 我根本不能接受啦你可能坐在冷氣房裡面啦不了解地方啦所以就隨便給100萬100萬給你們你們能辦就能辦不能辦就算了但是這個對我們來說很重要希望你改變你的思維這是旗艦行活動每一個機關每一個縣政府都有一個大型的活動地方的節慶那以客家來講在我們新北市就是藝名節
transcript.whisperx[481].start 13434.475
transcript.whisperx[481].end 13453.947
transcript.whisperx[481].text 他的重要性不是像你講的啦,我們錢就這樣隨便給一給,我覺得我不太能接受這樣的講法。每個地方,每個地方,由他的接近的法律,或是針對接近法律,投射的位分都投一些的啦。多少給一?以前是400萬嘛,你上任之後就剩100萬嘛。你跟其他的主委都不一樣啦。
transcript.whisperx[482].start 13455.427
transcript.whisperx[482].end 13455.587
transcript.whisperx[482].text 前4百萬現在1百萬
transcript.whisperx[483].start 13468.419
transcript.whisperx[483].end 13494.904
transcript.whisperx[483].text 就是在主委的任內啦,把我們砍到剩這麼少啦。你砍到成這樣,我們新北市被你這樣子欺負,實在是我覺得很誇張啦,謝謝。也沒有啦,因為在新北市發動的全體委員,一來一到,但是可以看到我們在家庭、泥沿、鳳眠,貴重事,所以一來一到。反正結果就是這樣嘛,你就聽不進別人講的嘛,謝謝。
transcript.whisperx[484].start 13501.668
transcript.whisperx[484].end 13510.605
transcript.whisperx[484].text 好,謝謝葉元芝委員。我們登記發言的委員除不在場者,其餘均已發言完畢,詢答結束。
transcript.whisperx[485].start 13513.055
transcript.whisperx[485].end 13522.264
transcript.whisperx[485].text 未及答覆部分,請相關單位於一周內以書面答覆並複製本會。我們現在休息用餐50分鐘。我們下午1點05分繼續開會。
transcript.whisperx[486].start 14441.388
transcript.whisperx[486].end 14441.429
transcript.whisperx[486].text 午10時至9時。
transcript.whisperx[487].start 14497.602
transcript.whisperx[487].end 14499.306
transcript.whisperx[487].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[488].start 15241.096
transcript.whisperx[488].end 15241.137
transcript.whisperx[488].text 午10時至9時。
transcript.whisperx[489].start 16198.729
transcript.whisperx[489].end 16200.282
transcript.whisperx[489].text 下午10時至上午10時至下午10時至上午10時至上午10時至下午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時
transcript.whisperx[490].start 17079.209
transcript.whisperx[490].end 17104.489
transcript.whisperx[490].text 好我們繼續開會現在開始審查114年度中央政府總預算案關於客家委員會及所屬部分及財團法人客家公共傳播基金會114年預算書案請宣讀預算書及委員提案宣讀完畢後再進行協商請宣讀
transcript.whisperx[491].start 17106.499
transcript.whisperx[491].end 17130.749
transcript.whisperx[491].text 114年度客家委員會及所屬稅務預算。第二款罰款及賠償收入第14項客家委員會及所屬50萬元。第三款歸備收入第9項客家委員會及所屬580萬元。第一幕行政歸備收入350萬元。第二幕使用歸備收入230萬元。第四款財產收入第15項客家委員會及所屬1300萬元。
transcript.whisperx[492].start 17132.91
transcript.whisperx[492].end 17146.623
transcript.whisperx[492].text 第7款其他收入第15項客家委員會及所屬804萬元。第一幕雜項收入804萬元。第一節收回以前年度稅出50萬元。第二節其他雜項收入754萬元。
transcript.whisperx[493].start 17151.315
transcript.whisperx[493].end 17158.002
transcript.whisperx[493].text 稅出部分第二款行政院主管第10項客家委員會及所屬4370364000元第一幕一般行政270345000元第二幕綜合規劃發展137118000元第三幕客家文化產業發展1203618000元
transcript.whisperx[494].start 17172.897
transcript.whisperx[494].end 17181.445
transcript.whisperx[494].text 四、客家語言發展7億3751萬8千元。五、藝文傳播推展16億1286萬7千元。六、客家文化發展中心規劃與營運4億6876萬1千元。七、一般建築及設備113萬7千元。八、第一預備金200萬元。
transcript.whisperx[495].start 17196.141
transcript.whisperx[495].end 17210.249
transcript.whisperx[495].text 客家委員會主管財團法人客家公共傳播基金會114年度預算一、工作計劃部分因依據收入與支出審查結果隨同調整。二、總收入支出及預出部分收入2億2730萬元支出2億3641萬3千元本期短處911萬3千元。繼續宣讀提案
transcript.whisperx[496].start 17221.035
transcript.whisperx[496].end 17239.25
transcript.whisperx[496].text 客家委員會及所屬稅入部分第三款歸備收入一案第四款財產收入提案一案稅出部分第十項客家委員會及所屬為第三到第四案共計兩案第一幕一般行政為第五至第七案共計三案
transcript.whisperx[497].start 17240.302
transcript.whisperx[497].end 17250.247
transcript.whisperx[497].text 二、綜合規劃發展第8至第17案共計10案。三、客家文化產業發展第18至第27案共計10案。四、客家語言發展第28至第41案共計14案。五、英文傳播推展第42至第59案共計18案。
transcript.whisperx[498].start 17265.39
transcript.whisperx[498].end 17284.66
transcript.whisperx[498].text 第六目,客家文化發展中心規劃與營運為60至67案共計8案。第七目,第一班建築及設備為1案。主決議部分為69到第79案共計11案。提案內容請委員參閱。
transcript.whisperx[499].start 17288.085
transcript.whisperx[499].end 17304.494
transcript.whisperx[499].text 財團法人客家公共傳播基金會預算委員提案會整表。收入部分委員會相關提案。支出部分業務支出為第一至第四案共計四案。業務外支出第五案共計一案。提案內容請委員參閱。宣讀完畢。好,我們現在進行協商。
transcript.whisperx[500].start 17313.39
transcript.whisperx[500].end 17338.822
transcript.whisperx[500].text 我想在我們開始進行協商那這個行政單位好像比較沒有時間跟我們委員好像針對提案做有溝通過了嗎好像還沒好好沒關係那本期在這裡也站在是客家客家人所以我也希望所有委員多支持客家的預算多協助客家的預算那比較
transcript.whisperx[501].start 17339.522
transcript.whisperx[501].end 17340.183
transcript.whisperx[501].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[502].start 17363.701
transcript.whisperx[502].end 17385.098
transcript.whisperx[502].text 就您的提案如果你覺得說我們這個行政單位的說明你OK那你就直接表達比如說照主決意或者是直接測案都可以但是需要行政單位說明跟溝通的我們也請這個行政單位務必好好的說明跟溝通
transcript.whisperx[503].start 17386.681
transcript.whisperx[503].end 17388.363
transcript.whisperx[503].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[504].start 17401.569
transcript.whisperx[504].end 17407.612
transcript.whisperx[504].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[505].start 17418.139
transcript.whisperx[505].end 17442.279
transcript.whisperx[505].text 第二輪的時候大概也還會檢列我更多所以我第7案第8案我也維持其他其他我請行政單位給我好的主決意我全部保留只要你主決意OK我所謂保留是我保留上去你主決意OK我全部就會照你們的我的12案我都講完了好不好你有聽懂
transcript.whisperx[506].start 17447.168
transcript.whisperx[506].end 17451.731
transcript.whisperx[506].text 第一案第二案然後我是45跟49對45跟49案我維持其他請行政單位還有第62這三案維持
transcript.whisperx[507].start 17467.912
transcript.whisperx[507].end 17488.798
transcript.whisperx[507].text 對其他我們就看行政單位你只要給我的主決意寫的OK我全部我支持我們客家客家的所有預算好OK那接下來我們是不是請在座的委員可以來表達跟發言那我們請行政單位務必嚴正以待請黃婕委員如果你覺得你的OK你就全部寫我的我就講完了
transcript.whisperx[508].start 17497.984
transcript.whisperx[508].end 17502.788
transcript.whisperx[508].text 實施辦法這件事情因為其實之前在那個客家語言升職計畫裡面就有一直提到說要讓在地的客家人口比例通過認證的
transcript.whisperx[509].start 17527.048
transcript.whisperx[509].end 17537.673
transcript.whisperx[509].text 上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時
transcript.whisperx[510].start 17554.841
transcript.whisperx[510].end 17578.289
transcript.whisperx[510].text 那沒有沒有公家或是沒有一些額外的讓他就是鼓勵他們的措施導致說願意去考可以認證的公務員的比例一直拉不上來是不是有這樣的情況如果有的話我覺得這個真的是要趕快協助他們然後讓他們有更多的誘因像是說給他們一些獎勵啊或者是讓他們至少說至少不用擔心要請假這件事情
transcript.whisperx[511].start 17581.237
transcript.whisperx[511].end 17588.262
transcript.whisperx[511].text 好那等一下有沒有要行政單位回應好好那行政單位要回應的到這邊來來請說明應該這樣那個因為黃姐委員只談一案有沒有相關的有要也要一併就是一樣的然後一併問的他們可以一併回答沒有沒有那請你回答是一樣的嗎好那請王美惠委員
transcript.whisperx[512].start 17614.522
transcript.whisperx[512].end 17620.305
transcript.whisperx[512].text 主委,在這,我現在要解釋,審判另外,我認為這次是怎麼用那麼多人可以去客家,因為你的誘因都沒有出來,因為年輕人也認為,跟我客家有什麼幫助,有什麼獎勵嗎?也是完全沒到位,所以說你看客家的人,過去的人的年紀,
transcript.whisperx[513].start 17644.395
transcript.whisperx[513].end 17645.436
transcript.whisperx[513].text 好 那請回答
transcript.whisperx[514].start 17664.98
transcript.whisperx[514].end 17666.601
transcript.whisperx[514].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[515].start 17688.39
transcript.whisperx[515].end 17689.111
transcript.whisperx[515].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[516].start 17708.211
transcript.whisperx[516].end 17727.386
transcript.whisperx[516].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至
transcript.whisperx[517].start 17737.754
transcript.whisperx[517].end 17740.935
transcript.whisperx[517].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[518].start 17754.241
transcript.whisperx[518].end 17754.902
transcript.whisperx[518].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11
transcript.whisperx[519].start 17781.041
transcript.whisperx[519].end 17796.469
transcript.whisperx[519].text 下午10時至上午10時至下午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時
transcript.whisperx[520].start 17810.316
transcript.whisperx[520].end 17820.485
transcript.whisperx[520].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至
transcript.whisperx[521].start 17831.894
transcript.whisperx[521].end 17835.776
transcript.whisperx[521].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[522].start 17852.026
transcript.whisperx[522].end 17853.287
transcript.whisperx[522].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11
transcript.whisperx[523].start 17876.3
transcript.whisperx[523].end 17888.216
transcript.whisperx[523].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至
transcript.whisperx[524].start 17893.757
transcript.whisperx[524].end 17895.898
transcript.whisperx[524].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[525].start 17923.548
transcript.whisperx[525].end 17932.875
transcript.whisperx[525].text 高雄平台發表都已經納進去了這個超額比序的小分項目希望是用這樣的一個方式補充一下你剛才說40個小孩可以到校啦比如說我家裡是那個家道副校本來他們就有個家人他們一般怎麼學怎麼學就不可能40個
transcript.whisperx[526].start 17952.171
transcript.whisperx[526].end 17978.502
transcript.whisperx[526].text 是不是那個標準可以低一點?因為他怎麼搞到他就不可能40個有嘛。是不是他那班老公跟他們幾班個有了後,要靠的時間,你們可以有這個合遇。這是重要啦。不然你怎麼去找,怎麼可能一班40個。所以你們這個研議一下好不好。好,議長。
transcript.whisperx[527].start 17985.247
transcript.whisperx[527].end 18001.94
transcript.whisperx[527].text 你們聊學校有很多什麼課與認證的老師或什麼的你們要跟教育部去配合要課與認證的老師就可以在學校直接就去辦這個認證這個不就很簡單的事情嗎為什麼你們還要再拎我
transcript.whisperx[528].start 18003.381
transcript.whisperx[528].end 18004.062
transcript.whisperx[528].text 來蘇巧慧委員
transcript.whisperx[529].start 18024.382
transcript.whisperx[529].end 18041.896
transcript.whisperx[529].text 這個齁雖然主席說要讓我們可以快問快答的方式不過因為一答了之後齁就開始大家就不然我本來也是在說相關的這個考試語言的這一案啊我本來想說啊那就有回應了就不用特別說了不過聽完回答以後我也想要說兩句啊說一下說一下對
transcript.whisperx[530].start 18043.217
transcript.whisperx[530].end 18046.179
transcript.whisperx[530].text 我想這不外乎是大家為了要讓客語文化可以保存嘛那就兩種一個是增加誘因嘛講這個話能夠有實際坦白講比較那個公益上公立上的這樣的目的一個是這個另外一個就是增加興趣
transcript.whisperx[531].start 18059.787
transcript.whisperx[531].end 18067.277
transcript.whisperx[531].text 所以增加興趣跟增加誘因是為二的方式因為年輕人坦白講不會一開始的時候不可能會有什麼文化跟歷史的包袱你沒有先給他有文化和歷史的認識他將來就不可能因為是因為這個東西回去傳
transcript.whisperx[532].start 18076.59
transcript.whisperx[532].end 18077.21
transcript.whisperx[532].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[533].start 18100.321
transcript.whisperx[533].end 18115.912
transcript.whisperx[533].text 二、如何增加興趣?增加興趣的話其實最簡單的一種方式就是跟流行文化產生關聯性啦也只有這個是最夯的你看大家就是要嘛就去學韓語學泰語對不對然後我們部落這邊有號稱學美語阿美語啦所以我們也都是講美語的啊
transcript.whisperx[534].start 18122.717
transcript.whisperx[534].end 18124.259
transcript.whisperx[534].text 所以就是你讓那個歌手紅了歌星紅了偶像紅了自然而然就帶動每個人都會講兩句話所以客委會有沒有跟金曲獎的或者是其他有rap的或者是這個
transcript.whisperx[535].start 18138.312
transcript.whisperx[535].end 18158.824
transcript.whisperx[535].text 這一些的相關的流行文化產業的人有辦法能夠連結去校園去青年學子我其實一直想看的是類似這樣子的計畫嘛那我覺得這可能跟客台啊跟其他的是有相關聯繫有聯動的部分所以我的建議是就這兩個部分你們到底做了什麼成效多少請具體回答請回答
transcript.whisperx[536].start 18164.122
transcript.whisperx[536].end 18190.658
transcript.whisperx[536].text 剛張委員所提出來的我們後續會跟教育部會跟他們提出來用這樣的一個方式那蘇委員所提出的列入照的筆序之後這邊比較明顯就是近年列進去的包括臺南屏東這個報考人數是有很明顯的一個增長那至於說流行文化的部分因為這是我們另外一個處的業務是不是請另外一處針對這個部分說明謝謝
transcript.whisperx[537].start 18194.178
transcript.whisperx[537].end 18205.012
transcript.whisperx[537].text 那個既然有明顯的趨勢的話麻煩那個資料可不可以送我們辦公室謝謝你謝謝麻煩你們說明的時候說一下是什麼單位然後哪一位謝謝
transcript.whisperx[538].start 18210.034
transcript.whisperx[538].end 18229.174
transcript.whisperx[538].text 客家委員會議文傳播處感謝不是客家委員會你們都是客家委員會是說你那個第二你的一級單位喔好議文傳播處亮美玲在這裡剛剛舒喬委員關心到利用流行的這個趨勢流行文化來結合推廣客家語言
transcript.whisperx[539].start 18229.674
transcript.whisperx[539].end 18258.937
transcript.whisperx[539].text 目前在客家委員會透過流行音樂走入校園我們每一年進入到校園裡面中小學包含高中大學來進行透過音樂融入在教學教育的現場裡面讓大家透過音樂來接觸客語這是一個部分另外我們也透過演唱會也包括結合了重要的這個大型的音樂節包含大崗
transcript.whisperx[540].start 18260.198
transcript.whisperx[540].end 18261.138
transcript.whisperx[540].text 11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[541].start 18279.873
transcript.whisperx[541].end 18280.614
transcript.whisperx[541].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[542].start 18303.43
transcript.whisperx[542].end 18316.96
transcript.whisperx[542].text 上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時
transcript.whisperx[543].start 18325.984
transcript.whisperx[543].end 18352.059
transcript.whisperx[543].text 好欸那等一下等一下剛好你講了我我我剛好想到齁我記得好像你們有有有預算給客家歌手然後他可以到小學對不對去跟就在禮堂跟小朋友這樣唱各家客家歌嗎我記得那時候好像他們要找學校的時候你們還設定一定要什麼樣的客家小學其實你既然要推廣那個那個地方
transcript.whisperx[544].start 18353.069
transcript.whisperx[544].end 18366.685
transcript.whisperx[544].text 假設同樣在一個鄉鎮那有些學校他沒有場地但另一個有你不是你推廣是針對好像限制太多了你那樣不普及啊
transcript.whisperx[545].start 18368.855
transcript.whisperx[545].end 18389.412
transcript.whisperx[545].text 謝謝主席的關心當然客家歌手到校園去我們其實沒有太嚴格的限制我們當然鼓勵他能夠深入到客家莊去因為孩子能夠接觸客家流行歌手機會也才會有這個機會第一類接觸包含學習音樂聽客家歌同時可能激發他們在藝術的學養跟素養
transcript.whisperx[546].start 18391.496
transcript.whisperx[546].end 18392.997
transcript.whisperx[546].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11
transcript.whisperx[547].start 18416.926
transcript.whisperx[547].end 18417.266
transcript.whisperx[547].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[548].start 18441.897
transcript.whisperx[548].end 18443.418
transcript.whisperx[548].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至
transcript.whisperx[549].start 18464.357
transcript.whisperx[549].end 18485.933
transcript.whisperx[549].text 應該是吧?對啊。對對對。第一案、第二案嘛。所以沒有意見就麻煩就照我的通過啦。那接著稅出部分第十項。不用說明。不用說明。你說貿易第三款、第四款。對啊。
transcript.whisperx[550].start 18488.635
transcript.whisperx[550].end 18492.898
transcript.whisperx[550].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[551].start 18520.161
transcript.whisperx[551].end 18543.833
transcript.whisperx[551].text 對針列220對針列220來接著我們進入第10項客家委員會所屬的只有兩岸來來建兵委員謝謝主席主席這邊本席在第10項提出兩個那個一個就是針對我們那個客會的那個
transcript.whisperx[552].start 18545.302
transcript.whisperx[552].end 18567.29
transcript.whisperx[552].text 在第三個案就是在媒體宣傳這部分那其實我們有我記得在上回期有比較過客戶會跟園民會兩個委員會在做這個宣導上確實客戶會在做影片都比較精緻那也很用心不過他的數據還是不夠我覺得他數據不夠是要請我們我們要請這個那個客戶要檢討一下未來是不是要滾動式去檢討說你怎樣讓你的宣傳效果能夠達到那
transcript.whisperx[553].start 18574.246
transcript.whisperx[553].end 18575.407
transcript.whisperx[553].text 5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至
transcript.whisperx[554].start 18593.103
transcript.whisperx[554].end 18611.732
transcript.whisperx[554].text 要減掉預算31萬9千元這兩個部分因為剛好主席特別在開始的時候說我們希望能夠來支持客委會那臺東其實客家族群也佔了五分之一那我就配合主席的意見我這邊沒有太多堅持按照主席的意識以上就先
transcript.whisperx[555].start 18612.572
transcript.whisperx[555].end 18614.113
transcript.whisperx[555].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11
transcript.whisperx[556].start 18642.492
transcript.whisperx[556].end 18649.077
transcript.whisperx[556].text 禮拜五我們才收到啦那我有請同事要去跟委員們說明啦那書面出來以後有給辦公室但是禮拜六禮拜天就沒有沒有上班啊那所以所以這個部分
transcript.whisperx[557].start 18668.612
transcript.whisperx[557].end 18690.166
transcript.whisperx[557].text 我請同仁現在跟我講我徵求各位委員因為這一個確實啦我們那個那時候本來這個是排禮拜四結果後來陰錯陽差我們排禮拜一嘛我們是不是現在先開放時間你們全案跟全部的委員先溝通溝通完我們尊重委員他們最後的決議這樣好不好
transcript.whisperx[558].start 18690.726
transcript.whisperx[558].end 18701.298
transcript.whisperx[558].text 我先開放時間啦我要徵求在座的委員可不可以欸你們先等一下啦我徵求一下也要委員點頭啊可以嗎你們有沒有不同意見還是怎麼樣
transcript.whisperx[559].start 18707.286
transcript.whisperx[559].end 18733.38
transcript.whisperx[559].text 欸你們等一下啦我先詢問一下我們這邊委員都OK我們先溝通一段時間再開始給委員發言你們覺得這樣會比較好好不好這樣然後就你們就有些案要堅持還是要主決議要撤至少還有一點時間等一下我還是尊重一下我要所有委員OK我們才進行我想請問一下丁委員可以嗎
transcript.whisperx[560].start 18735.066
transcript.whisperx[560].end 18736.387
transcript.whisperx[560].text 我現在來講吧
transcript.whisperx[561].start 18769.222
transcript.whisperx[561].end 18774.729
transcript.whisperx[561].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[562].start 18789.547
transcript.whisperx[562].end 18792.488
transcript.whisperx[562].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[563].start 18807.853
transcript.whisperx[563].end 18811.355
transcript.whisperx[563].text 我一幕就提一個案啊一幕一幕一幕
transcript.whisperx[564].start 18835.743
transcript.whisperx[564].end 18840.728
transcript.whisperx[564].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至
transcript.whisperx[565].start 18878.705
transcript.whisperx[565].end 18883.587
transcript.whisperx[565].text 5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時
transcript.whisperx[566].start 18895.801
transcript.whisperx[566].end 18895.821
transcript.whisperx[566].text 第10項
transcript.whisperx[567].start 18922.045
transcript.whisperx[567].end 18924.346
transcript.whisperx[567].text 5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至
transcript.whisperx[568].start 18947.215
transcript.whisperx[568].end 18967.074
transcript.whisperx[568].text 第10項就是第3案第4案改組決議那我們黃建斌委員說一定要專案報告是不是是書面還是好書面報告組決議書面報告好第3案第4案就這樣那我們接著來進行第一幕來第一幕
transcript.whisperx[569].start 18968.047
transcript.whisperx[569].end 18994.36
transcript.whisperx[569].text 有那個要發言的委員好那我們請張志龍委員接著徐宇貞委員好謝謝主席齁那我針對這個第一幕提出第五案喔我不要就快速啦因為今天大家時間寶貴我想要請教一般行政部分文書客服管理檔案喔為什麼會委外340萬那這些東西應該不需要委外那另外有些資訊服務費跟軟硬體支出防火牆這些有重複編列喔所以我提出簡列500萬齁請行政單位趕快解釋齁謝謝
transcript.whisperx[570].start 18998.772
transcript.whisperx[570].end 19012.863
transcript.whisperx[570].text 來請徐宇貞委員等一下你們一併回答我提出的是第7案針對這個這次的客家委員會的一般行政的政府特別首長費就四萬五千元主要是因為在之前
transcript.whisperx[571].start 19013.844
transcript.whisperx[571].end 19038.053
transcript.whisperx[571].text 客家委員會主委針對財政收支劃分法修正之後與公開的活動跟媒體前頻頻發表不當的言論影響民眾的情緒也造成民眾的誤解。會釐清並避免誤解擴大,所以先凍結該預算等客家委員會及所屬在一個月內向本月內政委員會提出專案報告並經同意後時的動之。
transcript.whisperx[572].start 19040.094
transcript.whisperx[572].end 19068.112
transcript.whisperx[572].text 好那這樣只有張志倫委員的要說明請請說明就只針對張志倫委員的說明請好我我是客會秘書室的雷耀龍主任那針對張張委員的這種提案那有關於這個這個文書客服及檔案管理的這個委外事務因為這個因為本會的編制時代很小
transcript.whisperx[573].start 19068.832
transcript.whisperx[573].end 19088.885
transcript.whisperx[573].text 我們文書科跟事務科律書室總共只有9位編制內的同仁那我們的文書檔案是每年不斷在增加不斷當然預算增加人員增加了業務也又增加了文書檔案自然也就增加了那以現有的人力很難去負荷這麼大的一些數目性的工作而且還要辦一些客服接電話的服務這客服的服務我們有聘請專門的客語的人員來做電話的服務
transcript.whisperx[574].start 19096.33
transcript.whisperx[574].end 19118.318
transcript.whisperx[574].text 至於大堆事實上這些事物它並非本會的核心業務而且我們人事行政總局每年都很希望說對於各業務它非核心的業務它盡量希望能夠委外去辦理而不要去增加編制內的人員那基於這種種的考量所以我們才會在幾年前我們把這個相關的業務把它委外去處理
transcript.whisperx[575].start 19119.238
transcript.whisperx[575].end 19147.768
transcript.whisperx[575].text 那因為因應著明年的基本工資會調高嘛那還有軍公教人員也調薪所以相對的我們對這種委外人員的這種他薪資的結構我們也相應提高所以在這個部分我們我們114年叫113年增加了13萬元所以這個部分這個部分也是因為業務業務上的需要需要處理這麼龐大的業務都都都屬於事務性的工作他並非本會的核心業務的工作
transcript.whisperx[576].start 19149.056
transcript.whisperx[576].end 19159.058
transcript.whisperx[576].text 那所以說相應的會調整他的薪資結構然後把它調稍微增加13萬這個是有關於文書客服的部分那另外資訊的部分
transcript.whisperx[577].start 19162.492
transcript.whisperx[577].end 19178.731
transcript.whisperx[577].text 委員你好我是中華國務大處的陳瑞榮處長那委員所垂詢的在一般行政費用資訊服務費跟資訊軟硬體的費用有重複那我在這邊跟委員做一下報告資訊服務費其實是業務費我們大概編列1900萬
transcript.whisperx[578].start 19180.393
transcript.whisperx[578].end 19207.344
transcript.whisperx[578].text 主要是針對包含我們配合行政院的整個資安雲端資料中心的主機我們要去租賃他另外現在速發部對於資安要求的很嚴格所以這個部分我們其實經費並沒有增加另外有一個500萬的部分就是資訊設備費那個是屬於設備費就全會的同仁他可能明年度有一些個人的電腦、主機、印表機或者個人的伺服器到期
transcript.whisperx[579].start 19207.944
transcript.whisperx[579].end 19225.334
transcript.whisperx[579].text 所以這個是一定要汰換否則會影響到這個我們的公務同仁在服務民眾的一些公務的品質所以這個部分兩個的使用的用途方向跟編列的這個內容其實是完全不一樣的以上說這樣的說明謝謝委員好那這樣說明
transcript.whisperx[580].start 19232.761
transcript.whisperx[580].end 19247.886
transcript.whisperx[580].text 現在第一幕剛好刪案那因為那個徐宜臻委員這邊就凍結了那請未來報告之後再解凍那志倫委員是維持還是您最後做個決議決定
transcript.whisperx[581].start 19249.767
transcript.whisperx[581].end 19252.79
transcript.whisperx[581].text 5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至
transcript.whisperx[582].start 19274.068
transcript.whisperx[582].end 19286.086
transcript.whisperx[582].text 接電話的人還要委外是發生什麼事情那第二個我剛還是有看到預算書裡面有防火牆這三個字有重複編列不過我可以簡略少一點大家可以討論一下謝謝你直接講了
transcript.whisperx[583].start 19287.881
transcript.whisperx[583].end 19292.205
transcript.whisperx[583].text 114年度中央政府總預算案關於客家委員會及所屬部分。
transcript.whisperx[584].start 19305.516
transcript.whisperx[584].end 19307.297
transcript.whisperx[584].text 午9時至午9時至午9時至午9時至午9時至午9時至午9時至
transcript.whisperx[585].start 19330.419
transcript.whisperx[585].end 19335.563
transcript.whisperx[585].text 主委趕快找徐委員再溝通一下好不好現在凍結50%我們再努力一下好不好謝謝
transcript.whisperx[586].start 19361.291
transcript.whisperx[586].end 19366.628
transcript.whisperx[586].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[587].start 19370.173
transcript.whisperx[587].end 19393.223
transcript.whisperx[587].text 就是那個剪裂100那個剪裂100真的影響太大因為現在治安真的太重要了所以我們在這個1900萬剪裂100的話那設備費是大家同仁都一定要用的電腦這些如果主機已經壞掉等等我們沒辦法太萬真的會影響公務的推行是不是可以都都
transcript.whisperx[588].start 19393.763
transcript.whisperx[588].end 19419.936
transcript.whisperx[588].text 多達的建議就是說是不是用凍結一百萬讓我們提出書面的報告?他剛剛說我們接電話的要委外的原因是什麼?這個說明一下那個因為是名稱叫客服嘛當然就是我們是把它放在我們的服務櫃台我們的窗口那邊所以它不單只是接聽電話它同時也包括直接第一線的在櫃台的為民服務
transcript.whisperx[589].start 19421.056
transcript.whisperx[589].end 19438.401
transcript.whisperx[589].text 有任何異常資訊﹖ 重點不是說明這個,他是說一定要委外,我們自己沒有人是不是﹖ 剛剛張委員的意思啊﹖ 因為其他同仁都有辦起一些,就是這些比較屬於對外服務的,需要門面櫃台的,需要有人接待訪客的
transcript.whisperx[590].start 19439.701
transcript.whisperx[590].end 19440.361
transcript.whisperx[590].text 5時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11
transcript.whisperx[591].start 19469.243
transcript.whisperx[591].end 19493.788
transcript.whisperx[591].text 那張委員您看檢列100還是什麼?好,我是因為支持我們張委學習委員所以改動100好不好?我們都很支持客家,動100就是把這個未來真的要多請一些這個公務人員是會講客語的啦,不要說其實他們會講客語,只不過說我們會特別會要求會民服務要客的好啦
transcript.whisperx[592].start 19494.988
transcript.whisperx[592].end 19498.11
transcript.whisperx[592].text 中央政府總預算案關於客家委員會及所屬部分。
transcript.whisperx[593].start 19526.73
transcript.whisperx[593].end 19541.284
transcript.whisperx[593].text 我們新北的要多支持新北的客會會的預算書面報告經同意書面但是要經同意好不好那我們特別費的最後結論怎麼樣
transcript.whisperx[594].start 19560.346
transcript.whisperx[594].end 19562.347
transcript.whisperx[594].text 本次會議時間為上午9時至本次會議時間為上午9時至
transcript.whisperx[595].start 19580.806
transcript.whisperx[595].end 19609.152
transcript.whisperx[595].text 第二案不予處理。第二案不予處理。那我們接著我們進入第二幕第二幕第二幕有要表達的請王美惠委員主席,第一,在我們這次選舉的時候我有說過不公正負責客家委員會裡面我認為他們要去改善因為要進行不定期的檢查啦跟你們的整個委員會裡面你們要掌握什麼
transcript.whisperx[596].start 19610.192
transcript.whisperx[596].end 19635.923
transcript.whisperx[596].text 尤其在第12屆要多協助啦我雖然不是客家人可是我做支持客家人客家人是一個在我們台灣核心的族群他又謙虚又固執又如果族群社區都處理得很好所以說你看他們的醫生都很謙虚的幾位
transcript.whisperx[597].start 19643.988
transcript.whisperx[597].end 19666.945
transcript.whisperx[597].text 所以王美惠委員的這個博工招呼站是誰?不是要你回答你要在那邊等於是接受我們王委員的指導然後再來就是我們嘉義市這裡要多支持好不好?客委會接下來我們請張志倫委員接下來徐宇貞委員
transcript.whisperx[598].start 19670.799
transcript.whisperx[598].end 19687.006
transcript.whisperx[598].text 好謝謝主席喔那我提的是這個第二幕的第九案喔當我執行的時候也特別跟請那個谷主委說明齁就是我還是針對這個我們客委會每年都會有一個每三年四年都有一個國家客家發展計畫
transcript.whisperx[599].start 19688.927
transcript.whisperx[599].end 19710.8
transcript.whisperx[599].text 這個真的之前上次的計畫是110年6月合定從110年到112年所以113年整個空白那剛有問過主委說現在最新的國家客家發展計畫是114年度才正式開始所以113年度整個就是國家的客家發展計畫整個是空白
transcript.whisperx[600].start 19711.22
transcript.whisperx[600].end 19716.564
transcript.whisperx[600].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[601].start 19730.154
transcript.whisperx[601].end 19739.28
transcript.whisperx[601].text 還沒有國家開展計畫還沒有公布實行之前我會先凍結這個該預算只有凍結1542萬8千元希望說這個計畫出來了以後讓用全臺灣用所有客家人了解到底凍結凍結凍結到底是什麼樣的計畫
transcript.whisperx[602].start 19750.527
transcript.whisperx[602].end 19771.667
transcript.whisperx[602].text 不然沒有計畫的話已經延了一整年了再沒有出來的話我相信很多人都不能接受那我也請這個客委員會是不是在一個月內向內政委員會提出書面報告跟新一期的國家客家發展計畫提供給我們所有內政委員會的委員並經同意後始的動之以上謝謝你動多少1542萬8千就堅持是不是就維持這樣子
transcript.whisperx[603].start 19777.349
transcript.whisperx[603].end 19804.251
transcript.whisperx[603].text 我想這個應該是我們因為這個東西沒有跟我們內政委員會所有委員報告我覺得是對我們來說內政委員會的委員不尊重啊因為113年整個空白了那114年的之前111年的事6月份就要公告現在113年沒有公告沒有計劃還要等到114年才有所以如果這個東西沒有出來的話沒有計劃的一個國家客家發展我不知道是什麼是國家客家發展謝謝
transcript.whisperx[604].start 19805.964
transcript.whisperx[604].end 19832.432
transcript.whisperx[604].text 好那剛好喔剛好我們第8案到第13案喔第8案到第13案就是這整個喔是一樣的所以你們好好說明喔那那本本席這裡因為我我我這邊我剛已經這個部分我不堅持我們就按章志倫委員等一下喔所以你們先好好說明好不好那那因為因為沒有沒有你是同一個案嗎李博義委員
transcript.whisperx[605].start 19834.645
transcript.whisperx[605].end 19854.313
transcript.whisperx[605].text 我們現在因為剛好志倫問到到第13嘛對8到13所以是8到13剛好這一整個而且這經費一億多就乾脆整體你報告完我們最後到13這邊做一個結論然後接著後面的再給你們說明同一幕同一幕同一幕同一幕
transcript.whisperx[606].start 19861.428
transcript.whisperx[606].end 19867.993
transcript.whisperx[606].text 對你有啊你有你有只是你很少了10萬人家1000多你請說不是不是啦吼我是覺得吼這個吼不是說吼不支持你們只是吼我覺得吼這一個吼你們吼
transcript.whisperx[607].start 19880.565
transcript.whisperx[607].end 19881.546
transcript.whisperx[607].text 來請說明好嗎行政單位
transcript.whisperx[608].start 19906.966
transcript.whisperx[608].end 19933.106
transcript.whisperx[608].text 是,剛剛委員所垂詢的部分確實在客家基本法有規定每4年要嚴定國家客家發展計畫但今年比較是最特別的就是說113年的5月20號新政府上任之後那我們在上一個計畫是在去年的年底到期但原則上應該是從今年的開始在起期不過現在碰到一個問題就是行政院同步在
transcript.whisperx[609].start 19934.226
transcript.whisperx[609].end 19958.739
transcript.whisperx[609].text 指導全國的行政機關有研定一個國家發展計畫他是4年期114年到117年所以當時在我們內部研議的時候才為了整個行政一體的統一我們參考了行政院在8月15號抱怨核定的國家發展計畫的整個綱要的架構然後再納入賴總統的六支箭以及國家希望工程的內容
transcript.whisperx[610].start 19959.339
transcript.whisperx[610].end 19985.695
transcript.whisperx[610].text 然後在9月份我們會請各部位表示意見之後10、11月完成人內部的草案修正在12月目前已經報院來審議中所以這個部分是不是懇請大院因為我們確實有積極在進行那我們也必須要基於這個新政府上任的時候有一些新的客家措施跟新的公佈的政見在年期的部分因為是4年所以我們把它跟行政院整個這個國家發展計畫是一致的
transcript.whisperx[611].start 19988.857
transcript.whisperx[611].end 20016.086
transcript.whisperx[611].text 所以這個部分目前計畫都已經出來那至於剛剛張委員所提示需要能夠看到全貌跟說明的部分我想客會這邊可以全力來配合這個是沒有問題的以上可以全力來配合什麼就是提書面報告提書面一個月提書面報告跟提出整個國家計畫發展的這個向內委會的部分提出整個我們的計畫內容以上哦好那張委員就這樣囉好動
transcript.whisperx[612].start 20018.938
transcript.whisperx[612].end 20047.234
transcript.whisperx[612].text 最後決議對他說他可以在一個月內提出書面報告好那最後動動多少我們就一到八到十十三八到十三案總共就動一張委員說的你剛剛你請說你要我們是要八到十三還是我們等一下整幕來處理啦就比較快好不好
transcript.whisperx[613].start 20048.336
transcript.whisperx[613].end 20073.348
transcript.whisperx[613].text 沒有啦。我們現在就是每個委員我們都尊重嘛。那只是因為8到13剛好就只有張委員。對啊,最大比張委員啦。其實我也很大比,但我就支持我們客委會啦。所以就看張志倫了。然後等一下我馬上你們14到17可以給你們說啦。那志倫委員怎麼樣?對,你動多少?
transcript.whisperx[614].start 20079.244
transcript.whisperx[614].end 20080.685
transcript.whisperx[614].text 8到13就用一個啊接下來講接下來講接下來講
transcript.whisperx[615].start 20109.765
transcript.whisperx[615].end 20134.645
transcript.whisperx[615].text 沒有啦我們現在就一個一個就往下了好不好沒啦好來接下來越不一樣的8到13並按處理是不是8到13最後我們只就是以張志倫委員而且他就寫1500就寫1500就好其他其他都不予處理
transcript.whisperx[616].start 20136.787
transcript.whisperx[616].end 20137.707
transcript.whisperx[616].text 建議只要一千就好了
transcript.whisperx[617].start 20162.773
transcript.whisperx[617].end 20187.073
transcript.whisperx[617].text 14、15、16、17
transcript.whisperx[618].start 20188.423
transcript.whisperx[618].end 20201.818
transcript.whisperx[618].text 十六、十七剛好委員不在所以十四、十五、十六、十七剛好不在喔那你要講嗎?不然就過去囉第十七案我是有連署我是針對這個博工造戶的這一筆經費那希望
transcript.whisperx[619].start 20207.003
transcript.whisperx[619].end 20221.996
transcript.whisperx[619].text 客家委員會這邊可以跟衛福部這邊做比較密切的聯繫因為我在地方推動這個長照西據點其實以高雄市為例長照西據點一開始推案量非常多接下來就是管理的問題
transcript.whisperx[620].start 20222.837
transcript.whisperx[620].end 20239.553
transcript.whisperx[620].text 那我想客委會這邊一樣有碰到這個問題齁那其實我們希望把量做大但我們希望還是鼓勵展備出門而不是去管理說這個站有幾個展備出來把這個特色做出來才是我希望可以鼓勵客委會的所以
transcript.whisperx[621].start 20239.973
transcript.whisperx[621].end 20266.656
transcript.whisperx[621].text 在這個第17案以及我在之後的73案的這個主決議那希望客委會可以把這個博工照護站的這個計畫跟衛福部好好的來做聯繫把特色做出來那這一筆預算那就給予支持那也希望剛剛主席雖然是才是到13案那我們也希望到17案齁就維持那個1000萬的凍結就好了14到17就不要再凍了謝謝
transcript.whisperx[622].start 20273.493
transcript.whisperx[622].end 20297.902
transcript.whisperx[622].text 凍結1500到13張委員是說1500對好那14到17那本席剛剛已經有宣稱我不堅持的都是保留保留就是給你們寫主決意來只要主決意來那個保留的就會就會支持你們但是這所以我保留我並不是撤我就是保留然後等你們的主決意來
transcript.whisperx[623].start 20299.062
transcript.whisperx[623].end 20302.145
transcript.whisperx[623].text 5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至
transcript.whisperx[624].start 20322.878
transcript.whisperx[624].end 20344.347
transcript.whisperx[624].text 他支持所以不處理,我說就不用處理。對,對,對,不要變嘛,就不處理。對,不處理,好好好。好,那就這樣,好。那我們進入第三幕,第三幕。18到27,來,現在有沒有委員,好,來,那張志文委員然後接著徐宇貞委員。
transcript.whisperx[625].start 20346.723
transcript.whisperx[625].end 20364.774
transcript.whisperx[625].text 好謝謝主席吼那我們現在討論到第三幕吼我有提出第24案吼就有關於第三幕客家文化發展客家文化產業發展的部分吼我們一幕邊的這個12億的經費吼那裡面其中有這個辦理客庄特色產業及國際觀光行銷推展事業邊的6100萬吼較去年5300萬增加了751萬左右
transcript.whisperx[626].start 20370.097
transcript.whisperx[626].end 20371.679
transcript.whisperx[626].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[627].start 20393.399
transcript.whisperx[627].end 20410.817
transcript.whisperx[627].text 如果是同樣的浪漫台三線站的活動其實對國際觀光沒有太大的增幅那剛剛你們有過來溝通說你們等一下可以再解釋一下你們還要增加哪一個站那以及針對國際觀光旅客是否可以未來增加有提出目標如果可以的話我就願意改成主決議以上謝謝
transcript.whisperx[628].start 20412.807
transcript.whisperx[628].end 20425.892
transcript.whisperx[628].text 好那接著請徐議長委員謝謝主席本席在這一幕提出的是第20案跟第26案那第20案的部分主要是針對這個客庄創生及環境營造計畫這個部分因為其實我們
transcript.whisperx[629].start 20430.814
transcript.whisperx[629].end 20446.764
transcript.whisperx[629].text 了解就是客委會補助地方的辦理客庄創生跟環境營造計畫的相關工程到113年12月25號為止還有7項的工程沒有完工那各位可以看一下這個計畫的時程其實大部分都應該要在
transcript.whisperx[630].start 20448.625
transcript.whisperx[630].end 20450.226
transcript.whisperx[630].text 114年度的補助預算甚至不減反增還增加了25.23%那如果在
transcript.whisperx[631].start 20469.353
transcript.whisperx[631].end 20486.389
transcript.whisperx[631].text 這個部分的話我覺得看起來是目前這針對這些工程都有我覺得客委會都應該有這個督導不周的狀況那也請客會說明為什麼管考不立那尤其是又單位應該自己追蹤並督促地方政府要求廠商加速辦理
transcript.whisperx[632].start 20486.849
transcript.whisperx[632].end 20490.052
transcript.whisperx[632].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[633].start 20504.927
transcript.whisperx[633].end 20530.022
transcript.whisperx[633].text 國外的旅費因為這個部分是指說我們要在英國這個考察社區推動模式與發展計畫那針對這個部分我是覺得就是說英國的社區考察的經濟發展模式要怎麼樣能夠導入客庄社區的經濟發展那目前我看不出來兩個的關聯性那是不是能夠說明一下以上
transcript.whisperx[634].start 20535.294
transcript.whisperx[634].end 20562.729
transcript.whisperx[634].text 還有沒有委員針對我們第三目18到27案?其實只剩趙偉跟我而已啊。那你來。我看你呢。我的我已經講過我的就是保留他只要主決一來我我這樣我保留送協商但是你主決一來在協商的時候我就就不處理。保留送協商沒關係送協商的時候第一個我如果說
transcript.whisperx[635].start 20563.837
transcript.whisperx[635].end 20589.694
transcript.whisperx[635].text 下午9時至上午9時至上午9時至下午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時
transcript.whisperx[636].start 20592.722
transcript.whisperx[636].end 20596.004
transcript.whisperx[636].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[637].start 20607.573
transcript.whisperx[637].end 20623.862
transcript.whisperx[637].text 我先從最後面來說明一下就是有關我們出國經費的這個部分因為那個社區營造的部分事實上全世界最先這個開始社區營造的國家就是英國事實上後來才是日本去英國學習然後我們來
transcript.whisperx[638].start 20625.063
transcript.whisperx[638].end 20650.218
transcript.whisperx[638].text 去跟日本學習的那因為日本就是英國就是整個社區營造一直到創生發展的最先驅的一個國家那事實上我們從社區總體營造一直到現在目前整個創生社區創生的這樣子的一個過程裡面那事實上現在社區碰到的問題事實上是整個經濟要怎麼樣留在社區就是不要讓社區的發展
transcript.whisperx[639].start 20651.579
transcript.whisperx[639].end 20653.381
transcript.whisperx[639].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[640].start 20675.46
transcript.whisperx[640].end 20677.022
transcript.whisperx[640].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[641].start 20705.825
transcript.whisperx[641].end 20732.466
transcript.whisperx[641].text 做這個城市農場的一個社區去做一個觀摩之後希望將來在客庄的發展上面我們也能夠把這種經驗帶回到我們的這個客庄裡面把這種比較先進還有比較有創意的一個這個創生的一個發展能夠將來能夠引到我們的客庄裡面把將來在政府的資源投出的時候也能夠把這個經濟留在我們的客庄的一個社區裡面
transcript.whisperx[642].start 20733.764
transcript.whisperx[642].end 20758.8
transcript.whisperx[642].text 這次有關這個出國計劃的一個部分那另外在徐委員垂詢到就是有關工程那個部分那事實上因為我們這個當那時候統計當然早上主委有說過就是說因為事實上工程的進度都是由地方政府來報過來的那我們就依照他們的進度來做列管那目前
transcript.whisperx[643].start 20760.381
transcript.whisperx[643].end 20784.193
transcript.whisperx[643].text 這些提案裡面會跨到明年的部分現在只有新竹市的香山新竹市的香山他因為建造的關係所以他必須要到明年的4月他才能夠完工那其他的案子的話目前他在12月底以前他們都會來跟我們報結案像屏東的那個什麼啊林洛商工所不是說還在招標作業中嗎
transcript.whisperx[644].start 20785.61
transcript.whisperx[644].end 20805.432
transcript.whisperx[644].text 那個我們會測案林若相公所就109林若相公所那個他們他們有有那是只有設計他們設計案今年會完成沒有問題因為他不是全部都有工程110年嘛對不對
transcript.whisperx[645].start 20806.509
transcript.whisperx[645].end 20823.434
transcript.whisperx[645].text 對所以我的意思就是說這個部分的話大概看起來很多工程都有延宕而且像事實上目前的看起來就是說有些計劃應該不知道是因為督導不周還是怎麼樣狀況所以我覺得應該是針對這個部分我是建議還是要凍結26項我同意改組決議
transcript.whisperx[646].start 20833.029
transcript.whisperx[646].end 20848.029
transcript.whisperx[646].text 議員會議員會議員會議員會議
transcript.whisperx[647].start 20848.049
transcript.whisperx[647].end 20849.209
transcript.whisperx[647].text 本次會議時間為上午9時至本次會議時間為上午9時至
transcript.whisperx[648].start 20870.796
transcript.whisperx[648].end 20895.447
transcript.whisperx[648].text 委員報告,事實上這個我們執行那麼多年以來的經驗,那這個部分省紀部也有跟我們提醒過,所以我們這個部分在管控的部分,我們現在是對地方政府的管控從他們的提案一直到這個設計規劃一直到工程的執行,甚至到營運管理,我們現在事實上在研考的部分,我們都每一個關卡事實上都有比較
transcript.whisperx[649].start 20896.707
transcript.whisperx[649].end 20923.978
transcript.whisperx[649].text 延期的一個管控這個問題是不能說完全不會發生因為有些地方政府他還是會因為他們部分特別的因素會產生但是大部分現在我們大概整個工程的進度針對他提案之後兩三年的進度我們大概都還能夠算能夠比較精準的一個掌握所以這個部分我們請委員放心如果能夠讓我們提書面說明的話再做一個解凍的話
transcript.whisperx[650].start 20925.76
transcript.whisperx[650].end 20941.159
transcript.whisperx[650].text 是不是可以用這樣子的一個方式來做一個處理?好,請問徐委員怎麼樣?他剛剛有詢問是不是是書面還是專案?那個26是已經主決議了嗎?對,他主決了。
transcript.whisperx[651].start 20945.287
transcript.whisperx[651].end 20945.927
transcript.whisperx[651].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[652].start 20959.122
transcript.whisperx[652].end 20961.804
transcript.whisperx[652].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[653].start 20978.411
transcript.whisperx[653].end 20992.112
transcript.whisperx[653].text 自行車賽一直以來我們都是在辦在浪漫台山線當然浪漫台山線這個路線現在已經變成這個自由車國際賽裡面很重要的一條路線那我們因為
transcript.whisperx[654].start 20993.394
transcript.whisperx[654].end 20995.336
transcript.whisperx[654].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[655].start 21011.834
transcript.whisperx[655].end 21012.294
transcript.whisperx[655].text 二十四案改組決議是不是?
transcript.whisperx[656].start 21050.111
transcript.whisperx[656].end 21074.416
transcript.whisperx[656].text 2、3、2、3跟2、7不一處的那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個那個
transcript.whisperx[657].start 21078.208
transcript.whisperx[657].end 21081.149
transcript.whisperx[657].text 9時至9時至9時至9時至9時至9時至9時至9時至9時至9時至9時至9時
transcript.whisperx[658].start 21108.389
transcript.whisperx[658].end 21125.568
transcript.whisperx[658].text 二十九二十二十二三好那現在宣告一下好了請專委宣告一下第三目部分第十八案不予處理第十九二十二三
transcript.whisperx[659].start 21128.752
transcript.whisperx[659].end 21143.76
transcript.whisperx[659].text 跟二期併案凍結10%出名包合金同意後死者凍資。然後第21案保留。對。第22案改組決議。第24案改組決議。第26案改組決議。25萬有沒有那個?25萬不予處理。對。25萬不予處理。好。OK。那我們現在進入第4幕。第4幕。
transcript.whisperx[660].start 21157.679
transcript.whisperx[660].end 21162.444
transcript.whisperx[660].text 是從28到41案請各位委員請丁薛忠委員
transcript.whisperx[661].start 21166.666
transcript.whisperx[661].end 21187.705
transcript.whisperx[661].text 第4目我是針對35案是針對客家委員生殖計劃這個是希望推動客家委員普及從小學從小學習課以後執行4年來已經給你20幾億但參加的幼兒園數量跟血統成長數都很有限這些小朋友通過
transcript.whisperx[662].start 21188.726
transcript.whisperx[662].end 21199.465
transcript.whisperx[662].text 客委會自己幹的認證比例也很低所以提案凍結一千萬希望能提出改建專案高告讓客宇推動人家更有效。
transcript.whisperx[663].start 21205.433
transcript.whisperx[663].end 21224.731
transcript.whisperx[663].text 來請徐宇貞委員然後接著張志倫委員接著蘇巧慧委員謝謝主席本席在這一幕當中提出的是第39案也是有關國外旅費的部分這邊是指在客家語言發展的部分希望今年要編列42萬到芬蘭去考察
transcript.whisperx[664].start 21225.511
transcript.whisperx[664].end 21236.218
transcript.whisperx[664].text 雙語教育及少數語言保存計劃。雙語教育及少數語言保存計劃。雙語教育及少數語言保存計劃。雙語教育及少數語言保存計劃。雙語教育及少數語言保存計劃。雙語教育及少數語言保存計劃。雙語教育及少數語言保存計劃。雙語教育及少數語言保存計劃。雙語教育及少數語言保存計劃。雙語教育及少數語言保存計劃。雙語教育及少數語言保存計劃。雙語教育及少數語言保存計劃。雙語教育及少數語言保存計劃。雙語
transcript.whisperx[665].start 21253.66
transcript.whisperx[665].end 21266.519
transcript.whisperx[665].text 好接下來請張志倫委員好謝謝主席齁那如果提出第第24案齁其實剛剛很多委員都有提欸不是對不起有提出29案
transcript.whisperx[666].start 21269.366
transcript.whisperx[666].end 21296.853
transcript.whisperx[666].text 剛剛很多委員都有提到就是針對我們臺灣的客語發展業務每年編列7億多的預算那主要就推動客語通行警獎勵那有編的業務費2300萬獎補助費7400萬總共9700多萬可是現在大家剛剛有很多委員在講這個客語能力認證應符合在地比例在地客家人人口比例而且然後另外一個是行政院會各部會
transcript.whisperx[667].start 21297.853
transcript.whisperx[667].end 21305.58
transcript.whisperx[667].text 就是有說客以為通行與及地區公務人員通過客語能力認證比例是很低的所以顧名思義就是說其實
transcript.whisperx[668].start 21306.897
transcript.whisperx[668].end 21310.019
transcript.whisperx[668].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[669].start 21333.131
transcript.whisperx[669].end 21340.236
transcript.whisperx[669].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[670].start 21349.962
transcript.whisperx[670].end 21356.108
transcript.whisperx[670].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[671].start 21367.478
transcript.whisperx[671].end 21369.219
transcript.whisperx[671].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[672].start 21396.181
transcript.whisperx[672].end 21400.545
transcript.whisperx[672].text 提出白寫書面或改成專案報告後。就這樣,謝謝。所以是書面,改成專案,從書面改專案。好,接著請蘇巧慧委員。
transcript.whisperx[673].start 21413.271
transcript.whisperx[673].end 21433.601
transcript.whisperx[673].text 好謝謝那我這裡提出的案子呢其實是有33跟34那其實33剛剛也是已經有做了討論那所以針對這個學習客語的部分那是不是能夠用政策引導客家語言的學習然後去考試的這部分剛剛已經有說了
transcript.whisperx[674].start 21435.102
transcript.whisperx[674].end 21435.302
transcript.whisperx[674].text 三十三已經確定改組決議。
transcript.whisperx[675].start 21464.761
transcript.whisperx[675].end 21466.543
transcript.whisperx[675].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[676].start 21479.355
transcript.whisperx[676].end 21508.069
transcript.whisperx[676].text 那以新北市來講因為我們沒有客庄所以我們所能夠對應的都是非客庄的計畫好那這樣非客庄計畫下來了以後我們才會覺得說那最能夠還聚合大家來做客家一起做客家文化事務的就是社團這個邏輯是這樣拖延下來的嘛我們沒有客庄所以我們最重要的是客家社團可以凝聚最多人所以我認為應該要把資源放在客家社團
transcript.whisperx[677].start 21508.809
transcript.whisperx[677].end 21536.769
transcript.whisperx[677].text 那能夠去推動青年和兒少事務的客家社團應該得到更多的補助這是我整套的邏輯所以我想要請主委甚至請客委會這邊能夠回應我的是客委會現在有的相關計劃不管是一般型的或者是這種計劃型的補助相關的業務哪一些到底能夠回應我這一個訴求
transcript.whisperx[678].start 21538.57
transcript.whisperx[678].end 21567.449
transcript.whisperx[678].text 我想要的是這樣的資料那今天早上主委也已經回應了部分那可是我因為我相信您能夠知道的是相當的多所以是不是能夠用書面回應給我我要有留存那如果主委您這邊等一下能回應一下說欸確定我們彼此了解的東西是一樣的那我這個案子我同意改組決議直接就是不再做凍結這樣子的部分那但是我希望你主委的高度客委會的全面性給我一個完整的說明謝謝
transcript.whisperx[679].start 21571.018
transcript.whisperx[679].end 21577.134
transcript.whisperx[679].text 好那是不是主委先回覆因為剛剛有的不用好那請主委回覆
transcript.whisperx[680].start 21580.267
transcript.whisperx[680].end 21607.426
transcript.whisperx[680].text 謝謝委員確實那個都市的客家是不容易因為它是分散的那特別又是在青年跟兒少又更不容易那整個都是個別化了那我們要把它那個整個要群體化需要有方法那那個方法會分散在我們每一個計畫因為客會的幾乎是每一個計畫它不是一般性
transcript.whisperx[681].start 21608.787
transcript.whisperx[681].end 21622.718
transcript.whisperx[681].text 對那因為對不起主委我再打查一下等於是補充一下因為像這次能夠給我們的這個6個回應裡面6項計畫其實有4項是在學校推動的一項是由地方政府推動的所以只有第6項推動客與社區營造計畫才有機會是跟社團有關係
transcript.whisperx[682].start 21627.401
transcript.whisperx[682].end 21628.201
transcript.whisperx[682].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[683].start 21654.514
transcript.whisperx[683].end 21654.934
transcript.whisperx[683].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11
transcript.whisperx[684].start 21681.476
transcript.whisperx[684].end 21682.196
transcript.whisperx[684].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[685].start 21707.908
transcript.whisperx[685].end 21709.45
transcript.whisperx[685].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[686].start 21728.435
transcript.whisperx[686].end 21736.021
transcript.whisperx[686].text 我首先剛剛委員所提到的幼兒園的沉浸式的這個教學的部分其實我們從106學年度開始開辦這個計畫從當時的61個園所到到113年是已經新增到
transcript.whisperx[687].start 21744.767
transcript.whisperx[687].end 21749.25
transcript.whisperx[687].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至
transcript.whisperx[688].start 21761.818
transcript.whisperx[688].end 21763.919
transcript.whisperx[688].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[689].start 21791.033
transcript.whisperx[689].end 21794.415
transcript.whisperx[689].text 11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[690].start 21815.964
transcript.whisperx[690].end 21816.624
transcript.whisperx[690].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[691].start 21846.324
transcript.whisperx[691].end 21848.985
transcript.whisperx[691].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11
transcript.whisperx[692].start 21869.676
transcript.whisperx[692].end 21896.85
transcript.whisperx[692].text 這個部分就是會有就是他們一個就是他們的整個制度上面的一個規範另外還有就是他們教學的一個模式他如何讓這個雙語一點點雷同的話我覺得學習可能也會有限吧是不是可以就是到改到其他事實上是有有跟針對這個雙語的部分或他們針對這個主語的保存是有比較有經驗甚至跟我們比較相似的地方這樣會不會比較適當
transcript.whisperx[693].start 21898.126
transcript.whisperx[693].end 21898.726
transcript.whisperx[693].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[694].start 21924.658
transcript.whisperx[694].end 21945.956
transcript.whisperx[694].text 到世界的各地看更多的國家他們如何去推動他們的這樣的一個雙語的一個教學的一個模式原則上我是可以改組決議但是就是我覺得還是針對到什麼地方我覺得還是一定要有效果好不好這部分我們一定會讓他的這個效果是讓是可以符合我們這樣的一個計劃的目的
transcript.whisperx[695].start 21952.81
transcript.whisperx[695].end 21959.872
transcript.whisperx[695].text 提到的這個公教人員的通過客語能力認證那因為其實我們從109年開始推動通行語的這樣的一個辦法在
transcript.whisperx[696].start 21965.874
transcript.whisperx[696].end 21989.485
transcript.whisperx[696].text 全國的公教人員的這個符合度是從當年度的13%到目前有17.4%。客庄的公教人員的符合度從109年的29%到112年有到45%。那其實每年都一直在進步當中。那所以這個部分因為
transcript.whisperx[697].start 21990.485
transcript.whisperx[697].end 22002.9
transcript.whisperx[697].text 我們也會持續的一個就是像包括就是各縣市還有客庄地區請他們加強這一部分的一個提升
transcript.whisperx[698].start 22006.795
transcript.whisperx[698].end 22024.587
transcript.whisperx[698].text 好,謝謝,這個是處長。是原發展署處長。處長,這您回答的回應我不能接受,因為這我剛剛有跟您特別報告,這預算中心的這個報告就寫說執行狀況不好。那很多的解讀都不一樣,你用別的方式去解讀,可是跟預算中心提出來的內容就大相徑庭。
transcript.whisperx[699].start 22025.647
transcript.whisperx[699].end 22034.717
transcript.whisperx[699].text 本期是希望說當然我希望你們好好改善才能有改善計劃我覺得是比這個冷冰冰的數字來得更有幫助謝謝
transcript.whisperx[700].start 22036.854
transcript.whisperx[700].end 22055.927
transcript.whisperx[700].text 好那本席這邊可能也要提一下好我有我是第38案我本來保留我看我可能可以跟張志倫併案因為他那邊動7000萬嘛好那專案報告因為本席特別提出來就說哎你們你們要發展客家語言而且希望推廣
transcript.whisperx[701].start 22057.088
transcript.whisperx[701].end 22082.76
transcript.whisperx[701].text 你獎補助費為什麼114年就明年比今年減少了3000萬你的獎補助費減少3000萬直轄市少掉1000萬其他非直轄市少掉2000萬可是你這3000萬增加在業務費為什麼你那業務費3000萬做什麼然後獎補助變少剛剛大家都覺得要多鼓勵啊多鼓勵啊是不是處長說一下
transcript.whisperx[702].start 22084
transcript.whisperx[702].end 22111.358
transcript.whisperx[702].text 好跟委員報告主要會有兩個部分第一個部分目前我們對學校的補助是以學年度補助所以等於就是113學年就是補助了之後會一直到114年的7月的那這個部分會做保留但是我們通常會遇到一個狀況到了114學年會有很多的學校地方政府將錢還回來客委會
transcript.whisperx[703].start 22114.24
transcript.whisperx[703].end 22115.201
transcript.whisperx[703].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[704].start 22140.759
transcript.whisperx[704].end 22141.899
transcript.whisperx[704].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[705].start 22166.127
transcript.whisperx[705].end 22167.928
transcript.whisperx[705].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至
transcript.whisperx[706].start 22193.197
transcript.whisperx[706].end 22214.046
transcript.whisperx[706].text 因為今天時間的關係因為我們張委員有一個專案你在專案的時候可能再詳細的把學校他們的困難還有你們的業務費怎麼樣把它變成一個推動費用詳細的你在專案報告的時候來讓我們了解好不好我就併案了我就不保留我直接併案到張委員這裡
transcript.whisperx[707].start 22216.411
transcript.whisperx[707].end 22219.434
transcript.whisperx[707].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[708].start 22240.752
transcript.whisperx[708].end 22241.713
transcript.whisperx[708].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[709].start 22269.65
transcript.whisperx[709].end 22270.671
transcript.whisperx[709].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[710].start 22283.871
transcript.whisperx[710].end 22287.352
transcript.whisperx[710].text 中央政府總預算案關於客家委員會及所屬單位預算。
transcript.whisperx[711].start 22311.823
transcript.whisperx[711].end 22335.359
transcript.whisperx[711].text 上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時
transcript.whisperx[712].start 22336.727
transcript.whisperx[712].end 22351.658
transcript.whisperx[712].text 我們預算本來就少了本來50萬其實都多了啦從3500降到一半再減一點1000一半是1750啦我再把750砍掉剩1000張委員好不好同意啦7000到1000欸這真的是
transcript.whisperx[713].start 22361.866
transcript.whisperx[713].end 22379.471
transcript.whisperx[713].text 剩下十來趴而已。就原本期間的十,十趴多一點。好不好?好,謝謝委員。好,專案。好,那我們請專委宣告一下。第四幕。好,第四幕的部分。第33、34、39、40、41改組決議。第28、29、30、31、32、35、36、37、38並案。凍結一千萬元。提專案報告經同意後,使得凍結。好,那我們進入第五幕。
transcript.whisperx[714].start 22398.203
transcript.whisperx[714].end 22402.889
transcript.whisperx[714].text 來第5幕請丁學臻委員然後張志倫委員徐宇臻委員
transcript.whisperx[715].start 22405.219
transcript.whisperx[715].end 22433.396
transcript.whisperx[715].text 感謝主席。第五目是客家藝文傳播推展。我提出在51和54案這項目是近年來成長最多的預算科目。最主要是新增了開設影視作品來推廣客家形象和語言。在客委會預算比例越來越高。像是越進主流文化要開旗艦級影視作品。
transcript.whisperx[716].start 22434.096
transcript.whisperx[716].end 22446.501
transcript.whisperx[716].text 明年預算增加了快一倍像這麼高的預算作品的效益有多少讓人家感到懷疑應該請客委會提出說明所以這個項目凍結一億請客委會提出專案告告另外57案也有一個計畫是增加族群行銷社會議題實驗經費3000多萬
transcript.whisperx[717].start 22460.652
transcript.whisperx[717].end 22486.659
transcript.whisperx[717].text 相比明年度新增了2000多萬內容是推動線上行銷專案要提升客家能見度只有2000萬應該要去全台各地做更有效的實地推廣這一點經費在網路通路買廣告一下子就沒有了這裡也提案凍結1000萬希望客委會提出專案報告
transcript.whisperx[718].start 22489.977
transcript.whisperx[718].end 22490.64
transcript.whisperx[718].text 好接著請張志倫委員
transcript.whisperx[719].start 22493.452
transcript.whisperx[719].end 22513.984
transcript.whisperx[719].text 好謝謝主席我要跟主委跟大哥委員報告就是這個現在在討論的第46案第5幕就是藝文傳播推展編列了16億的經費那我這本席提議點列2300萬原因剛剛有特別在質詢的時候提到其中媒體政策宣導費在114年編列了9200多萬相較113年的
transcript.whisperx[720].start 22522.189
transcript.whisperx[720].end 22547.15
transcript.whisperx[720].text 690000增加了2300多萬以及我剛剛在質詢的時候才發現我們113年到11月執行的這個媒體業務及宣導費執行到3000多萬在12月在113年12月要再執行3000多萬剛剛也特別跟主委講這樣子的預算編列跟使用執行的狀況非常的奇怪那114年還要再增加2300多萬
transcript.whisperx[721].start 22549.071
transcript.whisperx[721].end 22574.834
transcript.whisperx[721].text 我剛也拜託主委不能在這樣子的做法從1月到11月花預算花不到50%最後一個月馬上大筆一揮什麼都簽什麼都過什麼都花這都是人民的納稅錢所以我才會提議說114年所增列的這些媒體宣傳費不能再增加因為代表過去一直以來都沒有好好的去做使用去做核准人民的納稅錢所以我提議
transcript.whisperx[722].start 22576.315
transcript.whisperx[722].end 22589.183
transcript.whisperx[722].text 這個而且客家人數使用一來一直下降所以沒宣費沒有達到效果那114年也沒有世界世界客家博覽或者大型活動的媒體需求所以因蹲劫政府支出提議減列2300萬元以上
transcript.whisperx[723].start 22597.676
transcript.whisperx[723].end 22610.761
transcript.whisperx[723].text 我們接著請徐宇貞委員謝謝主席本席在這一幕提出的是有關藝文傳播推展的部分那這個其中它經典編列預算是16億12867千然後作為媒體政策跟業務宣導費的是92045千元
transcript.whisperx[724].start 22617.324
transcript.whisperx[724].end 22619.286
transcript.whisperx[724].text 上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至
transcript.whisperx[725].start 22638.624
transcript.whisperx[725].end 22664.5
transcript.whisperx[725].text 那所以從媒體宣導的得票場案來看我覺得有過度集中在特定媒體的問題那我們也希望宣導的受眾的對象希望能夠全部都能夠涵蓋到而不要受到限制那所以說本席提出來凍結該項預算的10%那請客委會及所屬一個院內向立法院內政委員會求出專案報告並經同意後時的凍結謝謝
transcript.whisperx[726].start 22670.885
transcript.whisperx[726].end 22672.746
transcript.whisperx[726].text 好,那請問還有沒有其他委員。好,那本席在這個第5幕也是有幾個案,我看一下。45跟49,還有52。對,所以我本席的是45跟49這個是要保留,這個保留,這兩案保留,對對對。
transcript.whisperx[727].start 22701.038
transcript.whisperx[727].end 22726.698
transcript.whisperx[727].text 那請徐議長委員謝謝主席本期還有提出59案就是有關這個客家越境主流文化多元內容產業合作拓展計畫今年度總共編列3億3844萬照113年增加大概八成其中獎補助費大概編列2億501萬也比
transcript.whisperx[728].start 22729.5
transcript.whisperx[728].end 22748.456
transcript.whisperx[728].text 去今年度113年度的預算數9025萬增加了1億1476萬增幅高達百分之127.16那因為其實早上我諮詢我也特別提到就是說以現在這個客委會的執行率明年編列更這個多了一
transcript.whisperx[729].start 22748.976
transcript.whisperx[729].end 22763.646
transcript.whisperx[729].text 一百二十七趴的預算可能會加重該計劃執行率低落的問題所以提出該項目算數凍結百分之十也是等客委會一個月內將內政委員提出專案報告之後使得動之謝謝
transcript.whisperx[730].start 22774.991
transcript.whisperx[730].end 22787.543
transcript.whisperx[730].text 好來請張志仁委員有議案那個55案你有說到55案這個議論傳播推廣客家傳播行銷的這個客家要進3億因為這就一樣啦這韓國也是一樣的這樣OK講過了
transcript.whisperx[731].start 22813.068
transcript.whisperx[731].end 22820.975
transcript.whisperx[731].text 本期在這邊可能在說明前我可能也提一下就是說我們客家這邊傳播行銷喔就是第45萬這裡這邊講說
transcript.whisperx[732].start 22825.836
transcript.whisperx[732].end 22844.591
transcript.whisperx[732].text 提升客與聲望相關政策宣導費用好像重複編略所以我們對客家的所有的活動還有各種推廣我們都非常的支持但是呢有關這個大內宣的費用
transcript.whisperx[733].start 22845.632
transcript.whisperx[733].end 22847.573
transcript.whisperx[733].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[734].start 22872.27
transcript.whisperx[734].end 22875.011
transcript.whisperx[734].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[735].start 22893.932
transcript.whisperx[735].end 22910.36
transcript.whisperx[735].text 我先跟主席還有委員說明其實那個客會會有這個預算我來了之後有很深的感觸那個感觸是說在中央還沒有成立客會之前確實客家族群的自卑感非常的重
transcript.whisperx[736].start 22911.32
transcript.whisperx[736].end 22940.641
transcript.whisperx[736].text 那客會成立之後花了很多的預算在重建這個族群的信心那也是因為透過這樣子的藝文活動或者媒體的宣傳不斷的在講客家的好跟美所以讓這個族群他恢復了自信那也比較敢走出來敢講我是客家人不然真的20幾年前不敢講的大家是躲起來所以我早上有說客家比較隱形就是這樣
transcript.whisperx[737].start 22941.722
transcript.whisperx[737].end 22962.563
transcript.whisperx[737].text 一方面客家族群是比較能夠自我認同了能夠有信心了那非客家族群因為看到原來客家也有這個美跟好所以非客家族群也開始會認識跟欣賞這個客家的文化否則那是很安靜的一個社會
transcript.whisperx[738].start 22963.982
transcript.whisperx[738].end 22989.974
transcript.whisperx[738].text 所以我為什麼現在先來這裡說這個的原因是這樣那我過去在地方完全是沒有宣傳經費的完全是沒有那來到中央看那個這中央這20幾年來花的預算在這裡是有這個效益所以才會才會有這樣的計劃下來那我比較能夠理解那同時我接了之後也是肯定這樣的做法會延續
transcript.whisperx[739].start 22991.175
transcript.whisperx[739].end 22992.956
transcript.whisperx[739].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[740].start 23013.205
transcript.whisperx[740].end 23038.357
transcript.whisperx[740].text 針對宣傳的費用的增加的部分特別在這裡跟委員做一個說明客委會所做的宣傳剛剛有提到語言聲望那語言聲望比如我們今年有特別結合星光三月全聯跟加勒虎有六大通路的賣場透過他們的商場可以讓客人在商場進入到生活
transcript.whisperx[741].start 23038.677
transcript.whisperx[741].end 23039.297
transcript.whisperx[741].text 11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至
transcript.whisperx[742].start 23056.148
transcript.whisperx[742].end 23064.377
transcript.whisperx[742].text 3時至4時至5時至6時至7時至8時至9時至11時至12時至13時至14時至14時至15時至16時至17時至18時至19時至20時至21時至22時至23時至24時至24時至25時至25時至26時至26時至27時至28時至29時至30時至30時至31時至31時至32時至31時至32時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時至31時
transcript.whisperx[743].start 23079.312
transcript.whisperx[743].end 23080.573
transcript.whisperx[743].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[744].start 23108.547
transcript.whisperx[744].end 23118.029
transcript.whisperx[744].text 下午9時至上午9時至下午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時
transcript.whisperx[745].start 23119.506
transcript.whisperx[745].end 23147.453
transcript.whisperx[745].text 我們都非常支持可是你完全沒有回答到我們委員的問題第一個是為什麼今年到11月花了3000多萬到12月再花50%然後你明年還要再加2000萬的原因完全沒有回答到第二個徐宇貞委員提出來的這個從因為我跟主委跟各位處長報告要調這些資料非常不簡單也非常辛苦那我們都支持客家的預算可是針對獨厚特定媒體的部分完全沒有回應
transcript.whisperx[746].start 23148.453
transcript.whisperx[746].end 23166.642
transcript.whisperx[746].text 所以我的意思是說是不是主委只要能同意未來這樣的做法能做改善其實我相信每個委員大家都同意你不能主委只講我沒有大內宣可是只是這些出來得標的情形讓人家很難不覺得大內宣阿好不好就是針對問題回答不然大家時間都寶貴謝謝
transcript.whisperx[747].start 23168.063
transcript.whisperx[747].end 23169.663
transcript.whisperx[747].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11
transcript.whisperx[748].start 23194.449
transcript.whisperx[748].end 23196.371
transcript.whisperx[748].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[749].start 23213.166
transcript.whisperx[749].end 23215.667
transcript.whisperx[749].text 11月之前用了50%到12月這個問題是因為我們的活動就是依照活動那廠商執行做宣傳所以活動會比方說像12月28最後一場
transcript.whisperx[750].start 23236.917
transcript.whisperx[750].end 23265.409
transcript.whisperx[750].text 12月28日前一場是在11月我們青年因為我們要推出青年政策11月底才再推出所以像這兩個大型的那執行完之後他才會來請款所以會因為這樣子而把預算留在後面的後面為款來支付是因為跟著項目而走所以我們看到童話記如果4月當然他就可以請一些款
transcript.whisperx[751].start 23266.169
transcript.whisperx[751].end 23272.82
transcript.whisperx[751].text 上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午
transcript.whisperx[752].start 23276.108
transcript.whisperx[752].end 23299.14
transcript.whisperx[752].text 因為剛剛主委有特別提到我們絕對相信程序是沒有問題的公開招標也沒問題可是因為這是限制性招標所以就會有很多的空間可以去運作成為給特定媒體的所以這個部分我們希望說是不是能夠針對這個部分在新的年度114年度能夠給予比較公開公正公平的方式讓大家都能夠來招標
transcript.whisperx[753].start 23300.606
transcript.whisperx[753].end 23311.99
transcript.whisperx[753].text 上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午
transcript.whisperx[754].start 23321.874
transcript.whisperx[754].end 23349.641
transcript.whisperx[754].text 好,那本席補充一下就是本席在49案是凍結10%大概是1800萬左右那為什麼這樣提呢?是因為本席發現在非直轄市的各縣市我們的這個客家藝文發展計畫中的經費逐年的減少我相信主委一定知道我們很多客家重點區
transcript.whisperx[755].start 23351.081
transcript.whisperx[755].end 23356.645
transcript.whisperx[755].text 本期動輒的原因是,我們希望也是專案報告後才能動之。再來就是有一個動輒特別多的,動了4億的,這個是有關拍電影的。
transcript.whisperx[756].start 23373.436
transcript.whisperx[756].end 23399.061
transcript.whisperx[756].text 喔對剛剛那個本席要講一下等一下是不是請客會請你們準備一下你們最新發表的那個客家形象影片好像才兩三分鐘你等一下播給大家看看大家看不看得懂剛剛一直講齁要把我們客家推廣然後我們過去很自卑然後現在要讓大家哇我看了我都看不懂所以我建議等一下三分鐘播出來給大家看一下齁
transcript.whisperx[757].start 23399.821
transcript.whisperx[757].end 23409.564
transcript.whisperx[757].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至
transcript.whisperx[758].start 23421.988
transcript.whisperx[758].end 23422.468
transcript.whisperx[758].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[759].start 23441.647
transcript.whisperx[759].end 23455.735
transcript.whisperx[759].text 5時至6時至7時至8時至9時至11時至12時至13時至14時至15時至16時至17時至18時至19時至20時至21時至22時至23時至24時至24時至25時至26時至27時至28時至29時至30時至30時至31時至31時至32時至32時至33時至34時至34時至34時至35時至35時至35時至36時至36時至36時至37時至37時至38時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時
transcript.whisperx[760].start 23462.279
transcript.whisperx[760].end 23466.181
transcript.whisperx[760].text 二、審查客家委員會及所屬部分。三、繼續審查客家委員會及所屬部分。二、審查客家委員會及所屬部分。
transcript.whisperx[761].start 23479.187
transcript.whisperx[761].end 23488.839
transcript.whisperx[761].text 好那因為這個第5幕呢我們發現好像凍結案都很多吼包含丁學中委員有凍結1億5000萬吼然後還有呃這個徐宇峥委員吼
transcript.whisperx[762].start 23499.716
transcript.whisperx[762].end 23522.717
transcript.whisperx[762].text 10%也有1.6億那包含張志倫委員的所以現在看各個委員的意見怎麼樣本席的在這邊的我們就保留就保留除非有一樣的有要動的我才併案我就先保留其他你們看三位還有我們這邊民進黨的委員也看最後決定怎麼樣
transcript.whisperx[763].start 23527.534
transcript.whisperx[763].end 23527.714
transcript.whisperx[763].text 3時15分再回來。
transcript.whisperx[764].start 23559.977
transcript.whisperx[764].end 23560.557
transcript.whisperx[764].text 市議會、市議會都要檢視。
transcript.whisperx[765].start 23585.51
transcript.whisperx[765].end 23590.952
transcript.whisperx[765].text 9時至9時至9時至9時至9時至9時至9時至9時至9時至9時至9時至9時至9時至9時至9時
transcript.whisperx[766].start 23613.587
transcript.whisperx[766].end 23617.37
transcript.whisperx[766].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[767].start 23640.799
transcript.whisperx[767].end 23643.48
transcript.whisperx[767].text 5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至
transcript.whisperx[768].start 23669.23
transcript.whisperx[768].end 23676.837
transcript.whisperx[768].text 三、繼續審查114年度中央政府總預算案關於客家委員會及所屬部分。四、繼續審查114年度中央政府總預算案關於客家委員會及所屬單位預算。
transcript.whisperx[769].start 23692.129
transcript.whisperx[769].end 23695.35
transcript.whisperx[769].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11
transcript.whisperx[770].start 23710.274
transcript.whisperx[770].end 23715.036
transcript.whisperx[770].text 5時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[771].start 23739.045
transcript.whisperx[771].end 23750.689
transcript.whisperx[771].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[772].start 23756.771
transcript.whisperx[772].end 23760.134
transcript.whisperx[772].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[773].start 23780.503
transcript.whisperx[773].end 23786.46
transcript.whisperx[773].text 9時至9時至10時至11時至12時至13時至14時至15時至16時至17時至18時至19時至20時至21時至22時至23時至24時至24時至25時至26時至27時至28時至29時至30時至31時至32時至33時至34時至35時至35時至36時至36時至36時至37時至37時至38時至40時至40時至40時至40時至40時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45
transcript.whisperx[774].start 23793.607
transcript.whisperx[774].end 23793.787
transcript.whisperx[774].text 五點半應該是這個點
transcript.whisperx[775].start 23823.807
transcript.whisperx[775].end 23845.222
transcript.whisperx[775].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至
transcript.whisperx[776].start 23846.603
transcript.whisperx[776].end 23853.971
transcript.whisperx[776].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11
transcript.whisperx[777].start 23865.684
transcript.whisperx[777].end 23868.746
transcript.whisperx[777].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11
transcript.whisperx[778].start 23882.876
transcript.whisperx[778].end 23892.279
transcript.whisperx[778].text 臺灣情報臺灣民感恩拍中很高興臺灣民感恩拍中很高興臺灣民感恩拍中很高興
transcript.whisperx[779].start 23908.305
transcript.whisperx[779].end 23912.726
transcript.whisperx[779].text 我最希望我的三政府是跟啦啦隊跳但是我是跟資深啦啦隊
transcript.whisperx[780].start 23932.655
transcript.whisperx[780].end 23942.887
transcript.whisperx[780].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[781].start 23948.786
transcript.whisperx[781].end 23970.016
transcript.whisperx[781].text 6時至9時至11時至12時至13時至14時至15時至16時至17時至18時至19時至20時至22時至23時至24時至25時至26時至27時至28時至29時至30時至31時至32時至33時至34時至35時至36時至36時至37時至38時至40時至40時至41時至42時至42時至43時至44時至44時至45時至45時至46時至46時至47時至47時至48時至49時至50時至50時至50時至50時至50時至50時至50時至50時至50時至50時至50時至50時至50時至50時至50時至50時至50時至50時至50時至50時至50時至50時至50時至50時至50時至50時至50時至50時至50時
transcript.whisperx[782].start 23971.417
transcript.whisperx[782].end 23999.373
transcript.whisperx[782].text 我主要要給民視當二房東休息一個月我主要給民視當二房東休息一個月我主要給民視當二房東休息一個月我主要給民視當二房東休息一個月我主要給民視當二房東休息一個月我主要給民視當二房東休息一個月我主要給民視當二房東休息一個月我主要給民視當二房東休息一個月我主要給民視當二房東休息一個月我主要給民視當二房東休息一個月我主要給民視當二房東休息一個月我主要給民視當二房東休息一個月我主要給民視當二房東休息一個月我主要給民視當二房東休息一個月我主要給民視當二房東休息一個月我主要給民視當二房東休息一個
transcript.whisperx[783].start 23999.973
transcript.whisperx[783].end 24001.114
transcript.whisperx[783].text 8號或9號都不用審查?會時間拿出來?
transcript.whisperx[784].start 24027.532
transcript.whisperx[784].end 24027.692
transcript.whisperx[784].text 海巡艦8號9號
transcript.whisperx[785].start 24050.994
transcript.whisperx[785].end 24059.04
transcript.whisperx[785].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至
transcript.whisperx[786].start 24069.042
transcript.whisperx[786].end 24072.585
transcript.whisperx[786].text 阿伯阿伯阿伯阿伯阿伯
transcript.whisperx[787].start 24092.517
transcript.whisperx[787].end 24095.398
transcript.whisperx[787].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至
transcript.whisperx[788].start 24119.908
transcript.whisperx[788].end 24130.837
transcript.whisperx[788].text 二、審查客家委員會及所屬部分。三、繼續審查客家委員會及所屬單位預算書案。四、繼續審查客家委員會及所屬單位預算書案。五、繼續審查客家委員會及所屬單位預算書案。
transcript.whisperx[789].start 24142.5
transcript.whisperx[789].end 24145.802
transcript.whisperx[789].text 沒有,你先講這一幕啦,先講這一幕我明天在哪呢?我還要講保簽
transcript.whisperx[790].start 24166.838
transcript.whisperx[790].end 24183.868
transcript.whisperx[790].text 你白天有什麼要講?不是這樣,要期間,要期間會申請,都只見春雨啊、春秋啊、七點半會跳舞。我不要去會申請,我不要去參加會申請,我不要去參加會申請。因為我覺得跨年齁,申請是一個二十幾人的事,我們是有這個跨年,那幾個還要我做嗎?
transcript.whisperx[791].start 24197.938
transcript.whisperx[791].end 24198.76
transcript.whisperx[791].text 本次會議時間為上午9時至
transcript.whisperx[792].start 24206.317
transcript.whisperx[792].end 24206.877
transcript.whisperx[792].text 本次會議時間為上午9時至
transcript.whisperx[793].start 24236.637
transcript.whisperx[793].end 24245.387
transcript.whisperx[793].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[794].start 24254.256
transcript.whisperx[794].end 24266.739
transcript.whisperx[794].text 7時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[795].start 24282.404
transcript.whisperx[795].end 24297.676
transcript.whisperx[795].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[796].start 24301.738
transcript.whisperx[796].end 24314.384
transcript.whisperx[796].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11
transcript.whisperx[797].start 24329.131
transcript.whisperx[797].end 24333.215
transcript.whisperx[797].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至
transcript.whisperx[798].start 24351.792
transcript.whisperx[798].end 24379.341
transcript.whisperx[798].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至
transcript.whisperx[799].start 24380.501
transcript.whisperx[799].end 24400.775
transcript.whisperx[799].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[800].start 24403.677
transcript.whisperx[800].end 24428.245
transcript.whisperx[800].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[801].start 24450.235
transcript.whisperx[801].end 24469.881
transcript.whisperx[801].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11
transcript.whisperx[802].start 24477.739
transcript.whisperx[802].end 24496.244
transcript.whisperx[802].text 午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至
transcript.whisperx[803].start 24503.387
transcript.whisperx[803].end 24519.814
transcript.whisperx[803].text 中央政府總預算案關於客家委員會及所屬部分。二、審查客家委員會及所屬部分
transcript.whisperx[804].start 24545.201
transcript.whisperx[804].end 24552.948
transcript.whisperx[804].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[805].start 24562.143
transcript.whisperx[805].end 24582.119
transcript.whisperx[805].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[806].start 24588.865
transcript.whisperx[806].end 24609.004
transcript.whisperx[806].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[807].start 24612.775
transcript.whisperx[807].end 24620.9
transcript.whisperx[807].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[808].start 24628.141
transcript.whisperx[808].end 24635.286
transcript.whisperx[808].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時去歷史化
transcript.whisperx[809].start 24656.813
transcript.whisperx[809].end 24662.414
transcript.whisperx[809].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至
transcript.whisperx[810].start 24681.546
transcript.whisperx[810].end 24682.026
transcript.whisperx[810].text 審查內容。
transcript.whisperx[811].start 24704.507
transcript.whisperx[811].end 24704.607
transcript.whisperx[811].text 午10時至。
transcript.whisperx[812].start 24738.629
transcript.whisperx[812].end 24757.579
transcript.whisperx[812].text 12月28日是重要的客家日。我們客委會推出的客家形象影片給我們張志倫委員、丁薛忠委員、徐宇貞委員、黃婕委員、王美惠委員、蘇曉慧委員。就你們來看一下我們這個說台語的看一下這個
transcript.whisperx[813].start 24758.92
transcript.whisperx[813].end 24760.881
transcript.whisperx[813].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[814].start 24889.428
transcript.whisperx[814].end 24890.068
transcript.whisperx[814].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[815].start 24915.14
transcript.whisperx[815].end 24937.193
transcript.whisperx[815].text 大家好各位委員這支影片其實是那個我們要主打的是那個主流化下面一個全客語的概念就是說我們現在習慣用華語來溝通那我們想用它點醒說有沒有可能思考說如果你掉進他這個人就忽然掉進一個全客語的話他進教室發現哎呦他怎麼自己會講客語然後竟然用客語教英文
transcript.whisperx[816].start 24937.953
transcript.whisperx[816].end 24961.415
transcript.whisperx[816].text 然後連手機的那個Siri也講客語然後他驚覺這件事情他發現連國際新聞都用客語在講然後他很驚訝自己在這個狀況下的時候然後出現了一個外星人然後外星人一開始講外星話後來是翻譯成客語嘛然後告訴說認識這個語言的世界我準備好了你準備好了嗎
transcript.whisperx[817].start 24961.755
transcript.whisperx[817].end 24987.073
transcript.whisperx[817].text 其實我們只是一個形象要講12284全國客家日但其實我們想要賣的點就是說大家有沒有可能意味思考用客語來想想看我們現在習慣的語言模式以上意向很好概念很好
transcript.whisperx[818].start 24996.152
transcript.whisperx[818].end 25023.78
transcript.whisperx[818].text 議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員會議員
transcript.whisperx[819].start 25025.451
transcript.whisperx[819].end 25026.813
transcript.whisperx[819].text 本次會議時間為上午9時至
transcript.whisperx[820].start 25041.498
transcript.whisperx[820].end 25042.299
transcript.whisperx[820].text 本次會議時間為上午9時至
transcript.whisperx[821].start 25077.551
transcript.whisperx[821].end 25088.819
transcript.whisperx[821].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[822].start 25091.799
transcript.whisperx[822].end 25115.077
transcript.whisperx[822].text 三、繼續審查114年度中央政府總預算案關於中央財政委員會及所屬部分。四、繼續審查114年度中央政府總預算案關於中央財政委員會及所屬單位預算。五、繼續審查114年度中央政府總預算案關於中央財政委員會及所屬單位預算。
transcript.whisperx[823].start 25118.327
transcript.whisperx[823].end 25131.81
transcript.whisperx[823].text 市長,請問一下,我們這個地方叫什麼?我們叫做巢仔巢仔巢仔我講巢仔就一直有人說,我們都很關心你講叫做巢仔,你怎麼講巢仔?你剛才說巢仔你怎麼講巢仔?
transcript.whisperx[824].start 25142.961
transcript.whisperx[824].end 25157.913
transcript.whisperx[824].text 好現在繼續開會那我們剛剛溝通的結果我們這個第5幕除了個別保留的之外45、52保留其他併案53改組決議那其他就併案凍結3000萬那是專案還是書面
transcript.whisperx[825].start 25170.05
transcript.whisperx[825].end 25184.999
transcript.whisperx[825].text 書面報告經同意後使得解凍。好,使得凍之。好,OK,我們這是第5幕,接著第6幕,那請各位委員表達。
transcript.whisperx[826].start 25196.31
transcript.whisperx[826].end 25197.431
transcript.whisperx[826].text 5時至5時至5時至5時至5時至5時至5時至5時至5時至
transcript.whisperx[827].start 25211.985
transcript.whisperx[827].end 25235.122
transcript.whisperx[827].text 這個從今年度一月到九月入園的人數吼越來越有有比較少才100多萬人次跟疫情前的180多萬人次相去甚遠那所以我希望說這個客人會要加油打成全球客家博覽客家博物館跟生態博物館的目標所以我提議减呃動之百分之五以上謝謝好還有沒有
transcript.whisperx[828].start 25241.014
transcript.whisperx[828].end 25250.94
transcript.whisperx[828].text 請王美蕙委員。主席,在此我會跟主委說的資料就是,這次的事件就是說,我們全台灣的客家文化園,
transcript.whisperx[829].start 25255.779
transcript.whisperx[829].end 25273.84
transcript.whisperx[829].text 疫情進程至今,您要如何可以帶動到疫情進程人去的人數?您是不是內部要有什麼改變,有什麼好處理?不過我覺得
transcript.whisperx[830].start 25274.941
transcript.whisperx[830].end 25275.742
transcript.whisperx[830].text 二、審查客家委員會及所屬單位預算書案
transcript.whisperx[831].start 25289.464
transcript.whisperx[831].end 25292.866
transcript.whisperx[831].text 中央政府總預算案關於客家委員會及所屬部分。二、審查客家委員會及所屬部分。
transcript.whisperx[832].start 25315.1
transcript.whisperx[832].end 25330.546
transcript.whisperx[832].text 6時至9時至11時至12時至13時至14時至15時至16時至17時至18時至19時至20時至21時至22時至23時至24時至25時至26時至27時至28時至29時至30時至31時至32時至33時至34時至34時至35時至35時至35時至36時至36時至36時至36時至36時至37時至37時至38時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時至40時
transcript.whisperx[833].start 25333.991
transcript.whisperx[833].end 25363.156
transcript.whisperx[833].text 沒有就全部併案啦好全部併案大家都為了他們好啦這個客家齁文化是還存在的你們那些博物館那些不要把他當成歷史博物館在經營對啊這個好像是在講過去的事情我覺得這是不應該的我們是活生生的講過很多次了啦我是覺得如果這樣大家都併案我看第六幕看這個大家稍微動一下好了啦
transcript.whisperx[834].start 25364.602
transcript.whisperx[834].end 25371.306
transcript.whisperx[834].text 下午9時至上午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午9時至下午
transcript.whisperx[835].start 25406.307
transcript.whisperx[835].end 25407.369
transcript.whisperx[835].text 本次會議時間為上午9時至。
transcript.whisperx[836].start 25416.052
transcript.whisperx[836].end 25444.06
transcript.whisperx[836].text 好,因為我覺得這是我們這個委員會的委員都非常關心的事情,那我本來本席提議凍結5%,其實我也這個支持我們各位委員對客家事務的客家文化的這個支持,所以我提議凍結400萬就好。好,謝謝。好,那我們就照張志龍,那是解訟條件是專案還是書面?書面要同意嗎?好,書面報告經同意後時的凍結,好。
transcript.whisperx[837].start 25447.043
transcript.whisperx[837].end 25473.938
transcript.whisperx[837].text 我們請專委宣告一下第6幕第6幕第6是案保留第7委員提案合併處理凍結400萬元向本會提出書面報告均同意核實的通知好最後我們進入第7幕都是主決議沒有沒有第7幕有第7幕只有1案那請張召委來來第7幕說明一下
transcript.whisperx[838].start 25476.339
transcript.whisperx[838].end 25504.493
transcript.whisperx[838].text 簡單啦簡單啦謝謝各位委員跟主席第7幕是這樣我們是10年的三級機關但是我們沒有我們只有一台公務車那公務車已經27萬7千多公里了那按照程序我們跟行政院申請就可以再購買一台然後這次因為是首長的三級機關可以有首長車我們是用首長坐車的名義職業購買然後另外一部在當作一般公用以上簡單報告
transcript.whisperx[839].start 25505.713
transcript.whisperx[839].end 25512.916
transcript.whisperx[839].text 暫時替客人會說27年的車了。我改組決議啦。對,組決議啦。改組決議啦。好,趕快買,27年了,趕快買。27萬公里。是走27萬公里。10年,10年,10年。我聽錯了。好,OK,OK。那第7幕請宣告。第7幕第68案改組決議。好,那最後,最後組決議的部分行政單位怎麼樣?是不是都照案通過?
transcript.whisperx[840].start 25538.841
transcript.whisperx[840].end 25542.765
transcript.whisperx[840].text 主席。主席。主席。改三個月。
transcript.whisperx[841].start 25565.899
transcript.whisperx[841].end 25580.6
transcript.whisperx[841].text 好其他委員或者是行政單位是不是我們主決議就照案通過除了69、70、71一個月改三個月之外
transcript.whisperx[842].start 25585.154
transcript.whisperx[842].end 25587.117
transcript.whisperx[842].text 本次會議時間為上午9時至本次會議時間為上午9時至
transcript.whisperx[843].start 25602.077
transcript.whisperx[843].end 25630.046
transcript.whisperx[843].text 同學,因為我們最主要的就是剛才張志倫委員說是要讓他們再做好,不是說要來他們山,要來他們百花百秋,是可以再做好,沒說實在,各位,我感覺說市民的意思,我感覺很辛苦,因為他們的錢很少,聽到主委,我真的感受到說,同學以前的同學以前真的他從來不要表態說,
transcript.whisperx[844].start 25631.687
transcript.whisperx[844].end 25635.308
transcript.whisperx[844].text 二、審查客家委員會及所屬部分。三、繼續審查客家委員會及所屬單位預算書案
transcript.whisperx[845].start 25660.695
transcript.whisperx[845].end 25688.014
transcript.whisperx[845].text 全世界、全台灣看到客家委員會的努力。以上。好,那剛剛網美會委員提的,那不在場的委員﹖李博裕委員有在,是不是您的要不要改三個月呢,還是就一個月?OK,可以,好,改三個月,好。好,73757,那其他的有沒有要﹖其他的不在的,我們可能也
transcript.whisperx[846].start 25689.525
transcript.whisperx[846].end 25690.886
transcript.whisperx[846].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[847].start 25719.466
transcript.whisperx[847].end 25735.55
transcript.whisperx[847].text 對,主委,是吧?徐宇堅委員,他有跟我講那個你的特別費的30%嘛,對,他跟你溝通好了差不多啦,差不多,他說30%比較少30萬是吧,好,那就30萬,好
transcript.whisperx[848].start 25744.892
transcript.whisperx[848].end 25745.492
transcript.whisperx[848].text 現在我們請宣讀協商結論
transcript.whisperx[849].start 25774.882
transcript.whisperx[849].end 25798.859
transcript.whisperx[849].text 114年度中央政府總預算案客家委員會及所屬預算協商結論稅數部分第一案增列20萬第二案增列200萬稅數部分第10項第三次案改組決議第一幕第6案不予處理第5案凍結100萬元向本會提出書面報告經同意厚實的動之第7案凍結30%書面向本會提書面報告厚實的動之
transcript.whisperx[850].start 25805.216
transcript.whisperx[850].end 25826.833
transcript.whisperx[850].text 第二幕綜合規劃發展第14案保留第15、16、17不予處理。第8到13案合併處理凍結1500萬元向本會提出書面包括經同意厚實的凍資。第三幕客家文化產業發展
transcript.whisperx[851].start 25828.649
transcript.whisperx[851].end 25852.374
transcript.whisperx[851].text 第二十一案保留。第十八二十五案不予處理。第二十二、二十四、二十六案改組決議。第十九、二十、二三、二七委員提案合併處理。凍結10%向本會提出書面報告金同意厚實的凍資。第四目客家委員發展。第三十三、三十四、三十九、四十四、一案改組決議。
transcript.whisperx[852].start 25854.892
transcript.whisperx[852].end 25881.572
transcript.whisperx[852].text 第二十八二九三十三一三二三五三六三七三八案委員提案合併處理凍結一千萬元向本會提出專案報告均同誘使的動之。第五目議文傳播推展第四十五五十二案保留第五十三案改組決議企業委員提案合併處理凍結三千萬元向本會提出書面報告均同誘使的動之。
transcript.whisperx[853].start 25884.622
transcript.whisperx[853].end 25903.836
transcript.whisperx[853].text 第六目,客家文化發展中心規劃與運。第六十二案保留。其五委員提案合併處理。凍結400萬元,向本會提出書運報告金銅鑰匙的凍資。第七目,一般建築及設備。第六十八案改組決議。第八目,第一備金預算照列。組決議69、70、71、73、75、76修正文字通過。第72、74、77、78、79詐案通過。宣讀完畢。
transcript.whisperx[854].start 25913.339
transcript.whisperx[854].end 25938.015
transcript.whisperx[854].text 好請問各位委員討論事項所列有關114年度中央政府總預算案關於客家委員會及其所屬部分及財團法人客家公共還沒審那個那個稍微那個稅務部分第三款第四款啊剛剛是是整個一起處理220萬還是
transcript.whisperx[855].start 25941.634
transcript.whisperx[855].end 25967.195
transcript.whisperx[855].text 應該是一起吧沒有沒有沒有他本來是說3、4合起來220萬但是3、4沒辦法他們說沒辦法要到第7款所以那我就個別好了我就個別了他沒辦法3、4對對對所以就個別了本來你3、4可以我是認同的但是他說要改到第7那就不要那就還是照原列第3款第4款
transcript.whisperx[856].start 25969.141
transcript.whisperx[856].end 25970.842
transcript.whisperx[856].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11
transcript.whisperx[857].start 25994.106
transcript.whisperx[857].end 26015.039
transcript.whisperx[857].text 7款第7款你是到第7款對啊去跟主席趕快講一下好啦好啦好啦給你們方便來支持一下好啦就到第7款第7款好不好好啦第7款一起增加220萬那我們還沒審喔這個不然你就先念公務預算的部分這個等一下再念
transcript.whisperx[858].start 26019.982
transcript.whisperx[858].end 26023.704
transcript.whisperx[858].text 5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至
transcript.whisperx[859].start 26035.799
transcript.whisperx[859].end 26055.264
transcript.whisperx[859].text 有委員提案的部分就照剛才我們專委宣讀的協商結論通過沒有提案的部分預算均照列請問有無異議無異議通過本次通過之決議文字授權主席以及議事人員整理
transcript.whisperx[860].start 26057.886
transcript.whisperx[860].end 26074.821
transcript.whisperx[860].text 114年度中央政府總預算案關於客家委員會及所屬部分審查完略。拟據審查報告函付財政委員會提報院會。接下來我們就審財團法人客家公共傳播基金會預算。
transcript.whisperx[861].start 26078.299
transcript.whisperx[861].end 26093.284
transcript.whisperx[861].text 來這邊好像只有不多嗎在場的好來只剩志倫志倫來你表達一下我稍微講一下好謝謝主席不要耽誤太多時間我針對這個客家公共傳播基金會他這個114年度的籌自籌預算是這個1500萬自籌支出1300萬
transcript.whisperx[862].start 26098.174
transcript.whisperx[862].end 26118.551
transcript.whisperx[862].text 那可是我對過去112年的決算數我自籌的收入還低於有自籌的支出495萬那接下來我要跟請各位委員看一下這個客家傳播基金會有最近這幾年啊稅率稅出啊支出跟收入跟支出的部分的每一年都虧錢了每一年都虧錢了虧很大哦
transcript.whisperx[863].start 26119.598
transcript.whisperx[863].end 26145.357
transcript.whisperx[863].text 前年亏1900萬,去年亏1600萬,今年亏900萬。所以有兩個問題,第一個,這個自籌支出,我們大家籌錢的時候怎麼會自籌的支出比自籌收入還大,那不要自籌比較快啊,越籌越沒錢。那第二個問題是為什麼我們基金會這三年連續都虧損,是不是有人應該出來解釋一下。基金會是用來虧錢的嗎?以上謝謝。
transcript.whisperx[864].start 26149.574
transcript.whisperx[864].end 26163.911
transcript.whisperx[864].text 來是不是出來說明一下好這是陳董事長
transcript.whisperx[865].start 26165.844
transcript.whisperx[865].end 26180.198
transcript.whisperx[865].text 主席還有委員我是基金會董事長陳邦正剛剛委員所指導的數字恐怕有一點點落差了
transcript.whisperx[866].start 26182.115
transcript.whisperx[866].end 26206.861
transcript.whisperx[866].text 我們的這個自籌114年編列是1500自籌支出呢是1300我們現在這個這邊所列出來是這個112年這個自籌其實是有到720萬其實是事實上是比我們的這個租出多了很多了到113年的時候呢我們的自籌提高到1381萬
transcript.whisperx[867].start 26209.221
transcript.whisperx[867].end 26209.241
transcript.whisperx[867].text 490萬元。
transcript.whisperx[868].start 26229.503
transcript.whisperx[868].end 26255.628
transcript.whisperx[868].text 自籌支出495萬自籌支出是大於自籌收入所以請您再幫我看一下那第二個為什麼三年連續虧損那我其實有看到你自籌收入計畫裡面在第30頁裡面你有什麼國際合作業務我想請教你們真的有在執行嗎有啊有有那請會後我不是沒有什麼意見就是說你為什麼三年虧損你會後還是提一個書面報告給我們本委會的委員到底為什麼連續三年虧損
transcript.whisperx[869].start 26257.874
transcript.whisperx[869].end 26262.295
transcript.whisperx[869].text 按自籌支出的部分明明就大於自籌收入。拜託你們再努力一下。
transcript.whisperx[870].start 26280.011
transcript.whisperx[870].end 26304.9
transcript.whisperx[870].text 好那因為時間的關係我們是不是說本來要凍結一百一千三百萬我凍結一百萬提出書面報告後使得通知好不好好陳董事長加油啦好不好好我們凍結一百萬書面報告後使得通知好那
transcript.whisperx[871].start 26306.055
transcript.whisperx[871].end 26316.812
transcript.whisperx[871].text 我們一到四案賣委員沒有在場那連署的委員也沒有在場所以我們就沒有處理好那我們這個算審查完畢來好
transcript.whisperx[872].start 26321.226
transcript.whisperx[872].end 26341.358
transcript.whisperx[872].text 我們財團法人客家公共傳播基金會114年預算書案有委員提案的部分照剛才宣讀的協商結論通過沒有提案的部分預算均照列請問有無異議無異議通過那本次
transcript.whisperx[873].start 26343.015
transcript.whisperx[873].end 26353.957
transcript.whisperx[873].text 本次通過的決議,文字授權主席以及議事人員整理。那財團法人客家公共傳播基金會114年預算書案已審查完略,擬據審查報告,提報院會公決,不須交由黨團協商並推請本席於院會討論時做補充說明。
transcript.whisperx[874].start 26374.195
transcript.whisperx[874].end 26385.287
transcript.whisperx[874].text 那客家委員會及所屬預算已審訊相關人員可以離席跟委員會報告現在我們休息15分鐘後繼續處理中央選舉委員會及所屬單位預算
transcript.whisperx[875].start 26391.462
transcript.whisperx[875].end 26398.008
transcript.whisperx[875].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[876].start 26424.796
transcript.whisperx[876].end 26428.48
transcript.whisperx[876].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11
transcript.whisperx[877].start 26454.704
transcript.whisperx[877].end 26478.701
transcript.whisperx[877].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至
transcript.whisperx[878].start 26483.721
transcript.whisperx[878].end 26485.922
transcript.whisperx[878].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[879].start 26515.636
transcript.whisperx[879].end 26515.836
transcript.whisperx[879].text 來一樓中選會。議員會議員會議員會議員會議員會議員會議員會議員會
transcript.whisperx[880].start 26543.067
transcript.whisperx[880].end 26546.169
transcript.whisperx[880].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11
transcript.whisperx[881].start 26583.635
transcript.whisperx[881].end 26610.335
transcript.whisperx[881].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至
transcript.whisperx[882].start 26617.093
transcript.whisperx[882].end 26623.605
transcript.whisperx[882].text 8時至9時至10時至11時至12時至13時至14時至14時至15時至16時至17時至18時至19時至20時至21時至22時至23時至24時至24時至25時至26時至27時至28時至29時至30時至31時至32時至33時至34時至34時至35時至35時至36時至36時至36時至37時至37時至38時至40時至40時至40時至40時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時至45時
transcript.whisperx[883].start 27479.416
transcript.whisperx[883].end 27504.696
transcript.whisperx[883].text 好,現在繼續開會那我們現在要來審查114年度中央政府總預算案關於中央選舉委員會及所屬的部分請宣讀預算書及委員提案宣讀完畢之後再進行協商好,請宣讀114年度中央選舉委員會及所屬
transcript.whisperx[884].start 27507.274
transcript.whisperx[884].end 27524.29
transcript.whisperx[884].text 稅入預算。第二款法款及賠償收入第15項中央選舉委員會及所屬70萬5千元。第四款成產收入第16項中央選舉委員會及所屬7千元。第七款其他收入第16項中央選舉委員會及所屬39萬9千元。
transcript.whisperx[885].start 27529.107
transcript.whisperx[885].end 27537.709
transcript.whisperx[885].text 中央選舉委員會及所屬稅出預算第二款行政院主管第11項中央選舉委員會及所屬486663000元第一幕一般行政103681000元第二幕選舉業務30141000元
transcript.whisperx[886].start 27547.692
transcript.whisperx[886].end 27557.322
transcript.whisperx[886].text 第三目地方選舉委員會行政業務3億5169萬1千元。第四目一般建築及設備15萬元。第五目第一預備金100萬元。繼續宣讀提案。第11項
transcript.whisperx[887].start 27568.069
transcript.whisperx[887].end 27578.017
transcript.whisperx[887].text 一案。第一幕一般行政為第二至第四案共計三案。第二幕選舉業務為第五案至第49案共計45案。主決議部分為五十至五十七案共計八案。內容請委員參閱。宣讀完畢。好那我們現在來進行協商
transcript.whisperx[888].start 27595.936
transcript.whisperx[888].end 27615.372
transcript.whisperx[888].text 那是不是我們也是照這個我們內政委員會替我們整理出來的我們首先就是進入稅出部分第11項第11項只有一個本席的一個提案好這個部分
transcript.whisperx[889].start 27622.691
transcript.whisperx[889].end 27624.732
transcript.whisperx[889].text 5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至
transcript.whisperx[890].start 27649.837
transcript.whisperx[890].end 27671.117
transcript.whisperx[890].text 這個部分的預算129萬8千元請中選會就如何參與出國提升選務工作效益及實體參與會議的必要性向我們內政委員會提出專案報告後並且有經過同意後使得動之本期在這邊特別說一下我們查了一下你們出國
transcript.whisperx[891].start 27673.278
transcript.whisperx[891].end 27701.749
transcript.whisperx[891].text 參訪過的國家參訪過的國家很多他們的國會議員都沒有罷免制度你們知道嗎?誰要回答?就是你這個之前一些詢答你們有很多的回覆的意見但是我覺得你出國了之後你都沒有發現世界上先進民主國家他們很多他們地方議員有罷免可是國會議員要嘛門檻很高要嘛是沒有罷免的
transcript.whisperx[892].start 27702.866
transcript.whisperx[892].end 27704.248
transcript.whisperx[892].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[893].start 27717.216
transcript.whisperx[893].end 27734.774
transcript.whisperx[893].text 那稍為各位委員大家午安,稍為這個所問的這個問題大約有二第一個部分是有關出國的相關費用出的這個進行相關的一個考察之外那因為我們在外交上這個是屬於弱勢的這個地位
transcript.whisperx[894].start 27735.502
transcript.whisperx[894].end 27755.485
transcript.whisperx[894].text 中選會肩負兩個國家主體參加的一個國際組織包括AWEB也就是世界選舉機關協會還有AAEA也就是亞洲選舉官署所以這個相關的一個費用還是有它的一個必要第二個這個主席剛剛這個所關心的一個問題
transcript.whisperx[895].start 27757.344
transcript.whisperx[895].end 27760.665
transcript.whisperx[895].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[896].start 27784.7
transcript.whisperx[896].end 27807.24
transcript.whisperx[896].text 這個各國的這個情形略有這個不同那上午法這個一概而論以上這個補充很好啊我沒有要一概而論我只是說欸我們的了解而且我們在台灣罷免制度是OK的沒有不OK所以不要誤解好說明完畢了好那我們這個案是不是就照照案是不是就照我們這個案嘛
transcript.whisperx[897].start 27815.559
transcript.whisperx[897].end 27835.856
transcript.whisperx[897].text 副主委是有講低一點本席可以參酌略減一點你說有參與的組織好像是跟選舉有關的那這樣是不是有兩個那是不是可以跟因為這既然附有外交的任務那是不是跟外交部拿經費就好了外交部沒有補助嗎
transcript.whisperx[898].start 27843.035
transcript.whisperx[898].end 27843.957
transcript.whisperx[898].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至
transcript.whisperx[899].start 27850.22
transcript.whisperx[899].end 27873.163
transcript.whisperx[899].text 主席各位委員因為我們臺灣的國際外交的處境的確是非常的困難那非常珍貴的就是中選會竟然可以以臺灣以中華民國的名義參加兩個國際性的選舉組織一個就是世界性的Aweb另外一個是亞洲的AAEA
transcript.whisperx[900].start 27874.404
transcript.whisperx[900].end 27892.174
transcript.whisperx[900].text 我們雖然主要是辦選務但是對於能夠為國家以選務的外交來跟各國往來我們非常珍惜我們也認為這是我們的責任所以這幾年以來我們都非常積極的參與兩個國際組織以及相關的國際選務機構所辦理的各項的活動
transcript.whisperx[901].start 27900.979
transcript.whisperx[901].end 27902.76
transcript.whisperx[901].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[902].start 27909.934
transcript.whisperx[902].end 27931.567
transcript.whisperx[902].text 請問一下你那個Aweb大概有幾個國家參加Aweb有一百多個國家一百三十幾個國家那亞洲那個什麼AAEA啊AAEA有20個國家有20個國家是的是的我們今年每年一次是我們今年是主席國是AAEA的主席國來台灣啊今年9月在台灣辦大會
transcript.whisperx[903].start 27934.309
transcript.whisperx[903].end 27938.733
transcript.whisperx[903].text 今年我也到哥倫比亞去參加世界年會。在這個年會上,我們成功的保住了可能對我們會籍產生影響的一個提案。
transcript.whisperx[904].start 27957.552
transcript.whisperx[904].end 27975.948
transcript.whisperx[904].text 我們發言得到與會各國的支持所以我們的會期今年是保住的我們是碰到挑戰但是我們如果不去積極的參與的話很可能就會被邊緣那明年到哪裡參加他大會是兩年舉辦一次
transcript.whisperx[905].start 27978.188
transcript.whisperx[905].end 27982.01
transcript.whisperx[905].text 二、審查客家委員會及所屬單位預算書案。
transcript.whisperx[906].start 27993.187
transcript.whisperx[906].end 28016.018
transcript.whisperx[906].text 執行委員會是每年都要辦。還有一些專案性的會議,因為這幾年包括錯假訊息包括這個身為影音還有包括資安的公期這個是全世界各國選務機關共同面對的挑戰所以國際性的這個研討會也相當的多我們自己也辦了
transcript.whisperx[907].start 28016.698
transcript.whisperx[907].end 28041.59
transcript.whisperx[907].text 我們今年也到新加坡也到馬來西亞去參加別的國際組織所舉辦的會議所以這個經費請主席那這樣好了我覺得這個部分要給他們啦有一些會費啦那個什麼都要的那一些不然到時候如果被除名的話就不好了
transcript.whisperx[908].start 28043.648
transcript.whisperx[908].end 28056.431
transcript.whisperx[908].text 我不是刪除嘛我是凍結那不然這樣好了我凍20萬然後你們專案報告專案報告之後凍支這20萬那你還有100萬可以用100多萬專案啦反正你來你總是要來業務報告的時候就一起嘛好不好
transcript.whisperx[909].start 28067.981
transcript.whisperx[909].end 28075.688
transcript.whisperx[909].text 好專案報告好好啦那我就這一個案動20然後專案報告後時得動之好那我們接著進入第一幕234三個案子那請在場的張志倫委員
transcript.whisperx[910].start 28088.971
transcript.whisperx[910].end 28118.311
transcript.whisperx[910].text 好,謝謝主席。那現在討論的是中選會第一幕一般行政的部分。那我先提一下第二案。第二案是這個徐宇宗委員特別提我提出來。有關於一般行政向下的這個基本行政工作維持費。經費是759萬4千元。包含這個維護費、辦公大的維護費、印刷費、清潔費、環境教育等費用258萬。那我們這邊提案的部分是說
transcript.whisperx[911].start 28119.331
transcript.whisperx[911].end 28135.538
transcript.whisperx[911].text 因為這個114年跟113年差了就是這個總統副總統跟立法委員選舉所以我們看到這個預算不減反增所以請序名爭列的理由避免無盡的浪費消化預算那請這邊請這個提出說明
transcript.whisperx[912].start 28137.779
transcript.whisperx[912].end 28163.191
transcript.whisperx[912].text 那所以這邊徐宇貞委員是提出要檢列100萬跟凍結10%那請中選會在一個月內向立法院立法院內政委員會提出書面報告後持的凍值那接下來是我提了第三案那第三案的部分是我本席之前對李敬永主委在質詢的部分針對現在這個我們都很尊重罷免團體的權益可是對於有一年內
transcript.whisperx[913].start 28164.372
transcript.whisperx[913].end 28190.448
transcript.whisperx[913].text 可不可以連罷免團體可不可以請我們一般的民眾來連署罷免書的這個部分李靜永主委之前回應我的非常的不確定所以第一個重點我想要請教的主委的是說現在選罷法三讀通過以後您認為現在選罷法三讀通過要附身份證正版面影本附身份證正版面影本就像之前這個
transcript.whisperx[914].start 28194.752
transcript.whisperx[914].end 28216.611
transcript.whisperx[914].text 總統選舉連署及很多公投連署這部分你認同嗎?你有要提復議嗎?第二個現在很多罷免團體現在已經在各處去連署了那我請教一下現在選罷法三度已經通過了現在這些在收罷免書的部分有沒有需要附身分證銀本?您的看法是什麼?
transcript.whisperx[915].start 28217.512
transcript.whisperx[915].end 28235.715
transcript.whisperx[915].text 第3個我要請教這個主委的部分就是說現在罷免團體如果在一年在在還沒有滿一年就簽這個罷免書的部分的時候如果這些罷免書都沒有填日期的時候那會有罷免團體這些人去連署日期這樣子算是這些罷免
transcript.whisperx[916].start 28237.007
transcript.whisperx[916].end 28263.898
transcript.whisperx[916].text 約翼罷免的人他們的自由意識嗎?這樣的做法是否可以?那到底有沒有需要收徵跟證影本?所以我希望說中選會我們都希望它是一個獨立機關而且主委我之前一直在問你說這一年內到底能不能罷免的時候你說這個哪裡有罷免團體我沒有看到啊沒有哪裡有罷免團體我沒有看到啊然後第二個我就說那一年內到底有沒有人在後來我請教你說那到底有沒有人在罷免
transcript.whisperx[917].start 28265.017
transcript.whisperx[917].end 28292.504
transcript.whisperx[917].text 你看新聞看很多雜誌以及現在這個罷免團體還對本黨的委員說已經第一階段聯署都通過了還在上新聞那結果你主委你跟我講說因為沒有人跟我檢舉啊你這樣的回應本席非常不能認同我不需要你成為歷史上的罪人不想你成為這個影子主委那我這邊本席要提醒你過去其實有慣例當時反萊豬罷免的時候那些罷免團體其實
transcript.whisperx[918].start 28294.504
transcript.whisperx[918].end 28295.625
transcript.whisperx[918].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[919].start 28314.924
transcript.whisperx[919].end 28332.636
transcript.whisperx[919].text 議員、里長都會聞罷免。如果你沒有一個明確的態度的話明年烽火連天你只會成為歷史罪人所以我希望你不要成為影子主委那我這邊喔因為我有針對你的特別費71萬元全數減劣代表本席對你的抗議以及對你的不信任以上請問行政單位有沒有要說明
transcript.whisperx[920].start 28347.768
transcript.whisperx[920].end 28371.333
transcript.whisperx[920].text 謝謝張委員的指教那第一點我要特別呼應張委員的一個論點就是說就是說今天你罷免我明天換我罷免你所以所以我們選務機關或者是貴院大院你們在訂定這個選務的相關的法令
transcript.whisperx[921].start 28372.153
transcript.whisperx[921].end 28396.823
transcript.whisperx[921].text 或者我們選務機關在辦理相關的這個選務如果不是秉持中立的立場的話今天去傷到你明天也會去傷到另外一方就是會傷來傷去彼此傷來傷去中選會作為一個獨立機關依法行政我們對於選務的這個主張絕對是站在中立的立場
transcript.whisperx[922].start 28400.444
transcript.whisperx[922].end 28420.144
transcript.whisperx[922].text 因為我沒有辦法即便是有人想去單獨的偏袒任何一方是做不到的因為同一套法律同一個遊戲規則兩邊都會適用所以我呼應委員的這個論點我也是這樣子的一個看法這是第一點
transcript.whisperx[923].start 28421.272
transcript.whisperx[923].end 28438.361
transcript.whisperx[923].text 第二點要跟委員報告就是有關於大院所通過的選罷法的修正案子這個案子歸大院已經三度通過了那如果完成整個的法制程序依法公佈施行的話
transcript.whisperx[924].start 28439.562
transcript.whisperx[924].end 28457.202
transcript.whisperx[924].text 我們當然就是按照通過的生肖的法律來執行生肖的法律該附什麼文件我們就會要求要附什麼文件依照這樣子的規定來進行審查第三點就是說因為現在的這個
transcript.whisperx[925].start 28459.95
transcript.whisperx[925].end 28479.583
transcript.whisperx[925].text 現在的現行的這個選罷法只是規定說有關於罷免是必須在任期滿一年以後才提出所以我們審查的時間就罷免案的審查時間點我們是以罷免提出時為準
transcript.whisperx[926].start 28481.244
transcript.whisperx[926].end 28497.511
transcript.whisperx[926].text 至於在任職滿一年之前有一些人採取一些動作不管是宣傳的動作不管是實際上去收取怎麼樣的文件
transcript.whisperx[927].start 28498.792
transcript.whisperx[927].end 28511.279
transcript.whisperx[927].text 在選罷法沒有做規範我們也沒有法律的根據可以去執行所以這點務必請委員你能夠諒解我們就這部分並沒有辦法去執行審查以上三點
transcript.whisperx[928].start 28520.557
transcript.whisperx[928].end 28541.402
transcript.whisperx[928].text 主委您的意思我簡單幫你統整一下所以你支持這個就是說你當任主委來講你尊重選辦法三讀後要收集身份證銀本你覺得這沒有你不會提出復議法律我沒有權利提出復議這個是行政院的事情法律生肖的法律怎麼規定我們就按照那個規定來執行
transcript.whisperx[929].start 28542.722
transcript.whisperx[929].end 28557.977
transcript.whisperx[929].text 那請問您針對一年內沒有可不可以簽署簽署連署書你認為法無明文規定法無明文我們無法執行我們無法執行那請問主委您擔任了將近快8年的中選會主委快6年快6年的中選會主委這個問題你有要處理嗎
transcript.whisperx[930].start 28563.189
transcript.whisperx[930].end 28589.291
transcript.whisperx[930].text 這個法律規定我就照法律規定來執行沒有法律的話其實法律照法律規定來執行可以提出相關的法律規定因為為什麼本席會提出這個問題當一個人當選以後隔天馬上就可以連署罷免這個中選會如果不處理的話這個未來風火連篇我不是說針對哪一個政黨是中選會主委你聽到我們的建議以後你完全沒有作為就像本席現在在跟你討論你也說無法
transcript.whisperx[931].start 28590.134
transcript.whisperx[931].end 28613.3
transcript.whisperx[931].text 沒有法令,那中選會不應該處理嗎?我認為在這個...在第三個...一年之前這個是屬於個人的自由啦。他要去怎麼說,言論自由,他要去做怎麼樣子的一個動作,只要不要要求送到選委會來,那選委會是無權去加以干涉。
transcript.whisperx[932].start 28614.049
transcript.whisperx[932].end 28639.516
transcript.whisperx[932].text 主委我尊重您的講法因為您是中選會主委那最後一個要問你的點就是說當這些聯署書日期是填空白的時候那等到一般人在填的時候不會先填日期嗎那如果在後來這些罷免團體幫這些聯署人填日期的時候這份聯署書聯署書上面格式上面沒有日期是提出的時候這個領銜人必須要押日期
transcript.whisperx[933].start 28640.637
transcript.whisperx[933].end 28648.288
transcript.whisperx[933].text 領銜人幫所有聯署人提押日期領銜人自己押他提出的日期所以聯署書上不用填日期聯署書上沒有日期好以上謝謝好謝謝
transcript.whisperx[934].start 28655.162
transcript.whisperx[934].end 28656.583
transcript.whisperx[934].text 二、審查客家委員會及所屬部分。三、繼續審查客家委員會及所屬部分。
transcript.whisperx[935].start 28671.733
transcript.whisperx[935].end 28676.936
transcript.whisperx[935].text 委員會關於電子聯署系統長期延宕為例,顯示執行效能及中立性不完善,所以這個部分我就把它動100%。在三個月後書面提出說明的話就解凍。來溝通的時候我也是要求是這樣。以上謝謝。
transcript.whisperx[936].start 28700.265
transcript.whisperx[936].end 28721.825
transcript.whisperx[936].text 好那請蘇巧慧委員好謝謝主席那我想我們在立法院就是都就事論事然後一碼歸一碼那雖然我也不贊成國民黨提出的選罷法那不過上上個禮拜確實這個法律目前他的程序上面是經過了三讀這樣的狀況當然我們對這個過程有相當的質疑不過程序上面他現在到這裡
transcript.whisperx[937].start 28726.889
transcript.whisperx[937].end 28756.069
transcript.whisperx[937].text 我們今天在做的是中選會的預算審查這樣的工作那剛剛其實張委員也提出了相當多的意見那現在麥委員也有提出了要凍結百分之百的意見不過我想根據剛剛聽到我們主委的回答主委也很清楚的表示就是說如果法律經過立法院三讀通過之後他就是會遵守這個法律他已經在這裡公開的承諾表達
transcript.whisperx[938].start 28757.45
transcript.whisperx[938].end 28763.217
transcript.whisperx[938].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[939].start 28772.409
transcript.whisperx[939].end 28773.27
transcript.whisperx[939].text 午10時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[940].start 28788.8
transcript.whisperx[940].end 28792.324
transcript.whisperx[940].text 上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午
transcript.whisperx[941].start 28806.761
transcript.whisperx[941].end 28818.63
transcript.whisperx[941].text 主要是主委剛剛有表示他會遵守通過的三讀的法律因為台灣就是一個法治的社會你不滿意但是還是必須接受結果那是不是可以請國民黨委員考慮一下是不是請他們說明市民說明一下行政單位有想說明那就請說明
transcript.whisperx[942].start 28833.98
transcript.whisperx[942].end 28854.88
transcript.whisperx[942].text 謝謝召委各位委員那有關麥委員這個所提的一個問題做幾點這個補充第一點是因為中央選舉委員會的委員會議他每個月至少要開會一次這是法律這個鎖定那所以如果權數凍結會導致選舉的一個業務自然難行那更何況大大小小的一些選舉的一個業務
transcript.whisperx[943].start 28856.383
transcript.whisperx[943].end 28880.094
transcript.whisperx[943].text 其實是隨時會這個存在的包括這個地補啊包括這個補選等等等那第二個呢這個委員提到有關電子連署的這個部分我們在今年的這個4月1號4月這個10號公投這個電子連署這個已經這個上線了那委員這個所這個提的這個部分也做一個這個釐清
transcript.whisperx[944].start 28887.503
transcript.whisperx[944].end 28897.682
transcript.whisperx[944].text 好那我們就請張志榮委員麥義正委員可以做個決定我們就依據你們的意見
transcript.whisperx[945].start 28911.366
transcript.whisperx[945].end 28921.16
transcript.whisperx[945].text 因為剛才補充的是說要選舉要用要開會現在又沒有選舉啊對不對我只有動三個月後就是解動嘛
transcript.whisperx[946].start 28921.741
transcript.whisperx[946].end 28934.03
transcript.whisperx[946].text 所以說你可以就是書面我沒有叫說專案報告你書面給我就就是同意後就解凍了所以沒有選舉啊所以不是影響說你要選舉還有因為上次我在質詢的時候也問到就是電子連署系統
transcript.whisperx[947].start 28941.515
transcript.whisperx[947].end 28949.28
transcript.whisperx[947].text 也是沒有再進行,現在也還沒有再進行應用所以也是覺得這個一直在延宕嘛所以我們也希望說你要你講的你就書面說明嘛你就解凍喔,沒有減弱你的費用啊 對不對所以這個是沒有影響的因為現在也沒有選舉啊三個月你覺得三個月太久你就一個月嘛 對不對一個月也不會影響到你的作業啊
transcript.whisperx[948].start 28970.134
transcript.whisperx[948].end 28972.396
transcript.whisperx[948].text 主委有要說明嗎?好請主委報告委員好各位委員其實我們的選務不是不是選舉年才有選舉像現在各種各種補選
transcript.whisperx[949].start 28991.17
transcript.whisperx[949].end 29015.862
transcript.whisperx[949].text 對,補選,我們現在還在辦補選有很多地方還在辦補選所以選務,大大小小的選務平常都會辦理那如果沒有一些經費來支持的話那根本辦不下去而且這個選舉辦理的期限都是法定的期限都是法定的期限所以你全部都凍結的話那我們真的是選務就凍不了了這點請委員能夠諒解謝謝
transcript.whisperx[950].start 29020.316
transcript.whisperx[950].end 29031.556
transcript.whisperx[950].text 上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時
transcript.whisperx[951].start 29032.337
transcript.whisperx[951].end 29032.357
transcript.whisperx[951].text 張昭偉議員
transcript.whisperx[952].start 29059.861
transcript.whisperx[952].end 29066.526
transcript.whisperx[952].text 午9時至午10時至午11時至午12時至午13時至午14時至午15時至午16時至午16時至午17時至午18時至午19時至午20時至午21時至午22時至午23時至午24時至午25時至午26時至午27時至午28時至午29時至午30時至午30時至午30時至午30時至午30時至午30時至午30時至午30時至午30時至午30時至午30時至午30時至午30時至午30時至午30時至午30時至
transcript.whisperx[953].start 29083.986
transcript.whisperx[953].end 29089.67
transcript.whisperx[953].text 午10時至午10時至午10時至午10時至午10時至午10時至午。
transcript.whisperx[954].start 29104.79
transcript.whisperx[954].end 29126.73
transcript.whisperx[954].text 好主席我還是要請教主委主委剛剛的解釋其實我大概有一半能聽得進去其實主委是很辛苦可是我針對您剛剛最後提到說這個這個還沒還沒任職還沒一年可以這個就是可以罷免的連署這是個人個人的自由意願這句話我覺得中選會還是沒有講得很清楚
transcript.whisperx[955].start 29127.19
transcript.whisperx[955].end 29146.623
transcript.whisperx[955].text 那我這邊其實我的提案裡面有提到特別一點就是有關於這個過去不管是金融的罷免案這個有1億的聯署書資料填錯或沒有本人簽名的話應該以雙掛號來由本人來回覆那金融是當時選委會有認為說如果當事人據領未有回覆或查無此人
transcript.whisperx[956].start 29148.219
transcript.whisperx[956].end 29164.69
transcript.whisperx[956].text 後會沒有回覆也沒有簽名等的話應該是認定為無效的聯署書可是你當時這個應該沒有無效聯署書應該要淘汰認為是偽造或代簽的情事可是當時中選會卻要求如果沒有回覆即認定為合格
transcript.whisperx[957].start 29165.33
transcript.whisperx[957].end 29181.134
transcript.whisperx[957].text 所以當時其實你已經有主委親自到場來指揮猜量行動所以有違中選會的地位所以本席還是針對這裡我沒有要減那麼多特別費我就減大概一半35萬的特別費以上好那請高金委員
transcript.whisperx[958].start 29188.283
transcript.whisperx[958].end 29197.475
transcript.whisperx[958].text 報告主席在場的委員們我對於徐宇貞委員的提案我覺得我是支持他的就是在整個元劣數的1140萬6千減劣100萬凍絕10%為什麼是這樣子呢?我記得我在這個
transcript.whisperx[959].start 29205.726
transcript.whisperx[959].end 29230.217
transcript.whisperx[959].text 基隆罷免案的時候本席辦公室我先講我是無黨籍的本席辦公室接到非常多的投訴就是連署的部分有非常多的瑕疵然後我們有請中選會到我的辦公室來做說明那他們的說明是說的確有一些法他們要修可是到目前為止都還沒有修啊
transcript.whisperx[960].start 29231.42
transcript.whisperx[960].end 29253.838
transcript.whisperx[960].text 所以我覺得這個中選會有違你們的職責尤其這個主委你已經你剛說已經6年多了快7年了在這裡擔任這7年多來難道你都沒有看到這些問題嗎這不是黨政的問題而是浪費公堂的問題你們這一次光是一個罷免基隆市就花了多少錢這可是人民的納稅錢欸
transcript.whisperx[961].start 29255.836
transcript.whisperx[961].end 29282.965
transcript.whisperx[961].text 你們在審查的時候不好好審查你們也清楚知道有一些東西是有漏洞的但是這將近7年來你們都沒有試圖要去解決這個問題所以呢我認為徐以貞委員的提案我非常支持就是檢列100萬凍結10%然後請你們提出專案報告以後才可以解凍請告訴我們有哪些法是漏洞的
transcript.whisperx[962].start 29283.365
transcript.whisperx[962].end 29306.411
transcript.whisperx[962].text 有哪一些這個雖然我們選辦法已經通過了啦現在也沒有說嘉音徐宇珍的那個版本立法院都打成這樣子了然後民進黨立委還破窗進去那只不過是跟民進黨委員以前提案包括吳秉瑞委員所提案的部分是相同的就是要提出身份證遺孕本
transcript.whisperx[963].start 29309.236
transcript.whisperx[963].end 29337.425
transcript.whisperx[963].text 這個部分我覺得中選會你們的確是應該站在中立的角度雖然剛剛你有表態你說依法你絕對但是呢你站在中立的角度你就應該清楚知道這已經是在立法院完成三讀通過了所以你必須要提議跟行政院提議千萬不可以再提復議案否則的話大家未來對中選會會有什麼樣的態度跟看法
transcript.whisperx[964].start 29338.285
transcript.whisperx[964].end 29340.988
transcript.whisperx[964].text 二、審查114年度中央政府總預算案關於客家委員會及所屬部分。
transcript.whisperx[965].start 29353.763
transcript.whisperx[965].end 29357.365
transcript.whisperx[965].text 現在那是兩年選一次立法委員跟總統一起選縣市首長跟民代一起選已經改了兩次了好不容易那現在動不動就罷免動不動罷免你認為這不是浪費公帑嗎你認為這不是造成社會的動盪不安嗎不管是哪一黨執政這個都不是非常好的例子啊
transcript.whisperx[966].start 29376.056
transcript.whisperx[966].end 29403.549
transcript.whisperx[966].text 而且剛剛還說你們出國你去參加了這麼多的歐盟會議、亞洲會議全世界有哪幾個國家是拜美國立法委員的你們應該很清楚啊為什麼你們參加了這麼多的國際會議你們難道連這些資訊都沒有嗎?你剛剛說是憲法那7年來你為什麼不建議我們的總統或者是建議在野黨休一下你有中立嗎?我們毫無看到你的中立謝謝
transcript.whisperx[967].start 29406.997
transcript.whisperx[967].end 29416.321
transcript.whisperx[967].text 本期有發現徐宇貞委員的提案聯署人是高金委員跟張志倫委員所以我想看第二個案是不是按照高金委員的提議
transcript.whisperx[968].start 29428.024
transcript.whisperx[968].end 29450.889
transcript.whisperx[968].text 主席各位委員我們對於委員對中選會的指教是非常非常在乎的尤其如果是指教說中選會辦選務不中立有偏袒那對我們來講是打擊非常的大那這樣子的打擊我們用什麼態度來面對呢一個如果有誤會的話我們要說明第二個我們真的有錯的話我們要檢討我們要改進
transcript.whisperx[969].start 29453.149
transcript.whisperx[969].end 29474.255
transcript.whisperx[969].text 那針對罷免尤其是基隆市市長罷免的這個案子其實在這個選務的初期階段鬧的是風風雨雨我知道這個案子被提出來之後一定是引起雙方陣營非常尖銳的對抗
transcript.whisperx[970].start 29475.99
transcript.whisperx[970].end 29478.011
transcript.whisperx[970].text 午10時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[971].start 29495.879
transcript.whisperx[971].end 29512.389
transcript.whisperx[971].text 在還沒有開始進行連署之前我就已經邀集基隆市選委會到中選會來大家要開個選前的協調會這個選前的協調會就是要把一些相關的選務法令的規定
transcript.whisperx[972].start 29515.152
transcript.whisperx[972].end 29529.707
transcript.whisperx[972].text 選務實際運作的這個程序要跟金融式選委會大家一致才能夠採取共同的一個立場才不會引發外界的質疑但是這個案子這樣一走下來在
transcript.whisperx[973].start 29532.239
transcript.whisperx[973].end 29541.127
transcript.whisperx[973].text 查對的階段在提議跟連署查對的階段遭驚起出了一些狀況這個是我們選委會內部應該要檢討的
transcript.whisperx[974].start 29547.267
transcript.whisperx[974].end 29547.727
transcript.whisperx[974].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[975].start 29568.82
transcript.whisperx[975].end 29583.461
transcript.whisperx[975].text 以及過去我們對於查對相關的解釋、會籍、層冊都跟基隆市選委會講得清清楚楚還好最後把它導正過來了我光舉一個最簡單的例子
transcript.whisperx[976].start 29585.484
transcript.whisperx[976].end 29599.06
transcript.whisperx[976].text 為什麼為什麼基隆市選委會向基隆市政府提出的查對費用的件數竟然會達到兩萬五千份
transcript.whisperx[977].start 29600.585
transcript.whisperx[977].end 29629.945
transcript.whisperx[977].text 總共連署的案子也不過是三、四萬份為什麼呢?即發查詢函要發兩萬五千份我不講他什麼背景我光講一點對選委會來講就是讓外界看笑話你們完全是沒有選務的專業一個專業的選務單位根據過去大大小小的罷免案件查詢的件數一定可以知道
transcript.whisperx[978].start 29630.545
transcript.whisperx[978].end 29645.645
transcript.whisperx[978].text 你不必編到兩萬五千份嗎?為什麼要這樣子編呢?基中必有援助。所以我提這麼一個簡單的例子你就可以知道我裡面有很多的問題。這些問題我把它公開了。
transcript.whisperx[979].start 29646.286
transcript.whisperx[979].end 29658.978
transcript.whisperx[979].text 我有調查報告,我在我們的網站公開了,歡迎各位委員能夠去給我們指教。對不起,因為牽涉到中選會務必嚴守中立的立場,所以我說幾句話,請大家了解,謝謝。
transcript.whisperx[980].start 29664.83
transcript.whisperx[980].end 29670.414
transcript.whisperx[980].text 二、審查客家委員會及所屬部分。三、繼續審查客家委員會及所屬單位預算。二、審查客家委員會及所屬單位預算。
transcript.whisperx[981].start 29682.701
transcript.whisperx[981].end 29702.313
transcript.whisperx[981].text 特別費,第三案直接減劣10%本來71萬改成減劣10%那麥議政委員您的案沒有沒有,你第四案你的意見好,凍結50%
transcript.whisperx[982].start 29713.424
transcript.whisperx[982].end 29717.688
transcript.whisperx[982].text 5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至5時至
transcript.whisperx[983].start 29737.13
transcript.whisperx[983].end 29746.066
transcript.whisperx[983].text 到這邊那接著接著我們進入第二幕主要是第二幕所以我們現在請各位委員可以表達意見
transcript.whisperx[984].start 29747.779
transcript.whisperx[984].end 29769.793
transcript.whisperx[984].text 對不起剛剛那個是書面報告竟同意時的通知對不對他原本是寫書面你要改專案嗎我認為應該是要改個專案吧好那就那就剛剛剛剛那個主委也說的確有非常多的疏失啊然後他中選會就直接介入了選委會啊嗯哼哼
transcript.whisperx[985].start 29770.253
transcript.whisperx[985].end 29789.868
transcript.whisperx[985].text 很顯然中選會主委的權責很大他可以決定一切所以我們第二案檢列100萬凍結10%那請提出專案報告主席剛才主委說的不是這樣的意思吧會有專案報告
transcript.whisperx[986].start 29793.411
transcript.whisperx[986].end 29794.131
transcript.whisperx[986].text 主委說一下
transcript.whisperx[987].start 29815.147
transcript.whisperx[987].end 29832.517
transcript.whisperx[987].text 這也是外界甚至於包括基隆市選委會辦理這個罷免案市府派來的兼任人員錯誤的觀念他以為中選會是第三者其實不是
transcript.whisperx[988].start 29834.038
transcript.whisperx[988].end 29841.589
transcript.whisperx[988].text 這個罷免案根據選罷法的規定是由中央選舉委員會指揮監督地方選舉委員會來辦理所以是一體
transcript.whisperx[989].start 29848.579
transcript.whisperx[989].end 29855.042
transcript.whisperx[989].text 我們跟地方選委會是一體。外界刻意的把它解釋為說中選會介入。這本來就是我的事情,我當然可以介入了。本來就是我的事情。
transcript.whisperx[990].start 29872.349
transcript.whisperx[990].end 29884.894
transcript.whisperx[990].text 你記得你剛剛講的這個中央跟地方是一體的講道理中央跟地方中央跟地方是一體的阿你剛是這樣說我們的選委會是整體的一個單位對阿整體的一個單位嘛對不對沒有啦他現在講的議事選報法裡面會中央選舉委員會及地方要發表那個委員會兩個做法做法的講話啦是不是這樣議長好再來我把這個
transcript.whisperx[991].start 29902.296
transcript.whisperx[991].end 29921.76
transcript.whisperx[991].text 我們第一幕已經確定了嘛所以現在進入第二幕所以現在第二幕可以請各位委員發言首先請吳啟明委員好主席我第二幕第二幕第18案還有第二幕第39案因為我們中選會有來溝通我都列入我們的主決議好謝謝好接著請張志倫委員後面請蔓逸臻委員
transcript.whisperx[992].start 29929.875
transcript.whisperx[992].end 29950.731
transcript.whisperx[992].text 好謝謝主席我今天有提三個案主要是第22案就是這個有關於選舉業務綜合規劃及選務資訊化資訊服務費部分凍結50萬就是中選會現在有一個罷免及公投電子連署系統從107年建制完成建制經費罷免跟公投電子連署兩個
transcript.whisperx[993].start 29951.631
transcript.whisperx[993].end 29969.125
transcript.whisperx[993].text 電子經費是403萬跟250萬可是還有很多的系統沒有上線所以從107年到現在我建議凍結50萬的經費這比較少第二個案子是我之前有在質詢的時候特別請教主委的就是第24案
transcript.whisperx[994].start 29971.598
transcript.whisperx[994].end 29989.106
transcript.whisperx[994].text 就是選舉業務綜合規劃及選務資訊化的一個部分這個部分我也是針對這個公投案及這個連署的名冊查兌費505萬因為大家都知道從100最後一次公投的連署是110年111、112、113年都沒有公投的連署
transcript.whisperx[995].start 29993.268
transcript.whisperx[995].end 30015.824
transcript.whisperx[995].text 也沒有查對,可是每年都編好編滿,都編五六百萬的經費,通通花光光,都不知道雲芝到哪裡去了。上次我問過李敬友主委,沒有公投綁大選,所以公投案都不能成案,結果公投的查對費用還編好編滿,而且花五六百萬都這樣花光光。這個部分我建議要減劣505萬,以及最後
transcript.whisperx[996].start 30022.435
transcript.whisperx[996].end 30024.942
transcript.whisperx[996].text 這個國外旅費的部分在第46案的部分
transcript.whisperx[997].start 30027.393
transcript.whisperx[997].end 30052.115
transcript.whisperx[997].text 剛剛我們很多委員都提出這個中選會現在沒有選舉還一直出國去考察那比如說最近要提國外的旅費到加拿大聯邦考察大選時務那到底考察出來什麼東西剛剛我們很多委員也提出來其實這個中選會主委我們認為他對政黨政治公平性的核心價值是鮮有不足而且這個
transcript.whisperx[998].start 30055.129
transcript.whisperx[998].end 30071.364
transcript.whisperx[998].text 中選會對選務遭遇非常閒熟只是缺乏革新以及缺乏提出新的法令的勇氣所以還花大筆預算出國考察當然中選會說因為其他國國情不足而不足採納
transcript.whisperx[999].start 30072.365
transcript.whisperx[999].end 30084.188
transcript.whisperx[999].text 所以一直出國去旅遊可是回到台灣來都說國情不同而不予採納這些國外的一些建議所以我們認為這些出國考察費用大可不要所以提議簡列這個國外旅費50萬以上好接著請麥義正委員然後高金委員接著黃捷委員
transcript.whisperx[1000].start 30094.226
transcript.whisperx[1000].end 30122.812
transcript.whisperx[1000].text 好謝謝主席我這邊第17案就是因為媒體宣傳就是感覺這就是不足來溝通了還是講了就是不清楚所以這個部分的話我是簡略了就是全部啦在第19案的部分呢就是關於不再急投票因為我們在不再急投票就
transcript.whisperx[1001].start 30124.14
transcript.whisperx[1001].end 30134.812
transcript.whisperx[1001].text 一百二十七個國家的全球有一百二十七個國家都有不在一起投票但是我們這邊到現在還是沒辦法去去這個投票的範圍還沒辦法去改善19還有第30案呢我也是簡略了就是
transcript.whisperx[1002].start 30144.522
transcript.whisperx[1002].end 30153.707
transcript.whisperx[1002].text 百分之百因為多國語言的公報是沒有的所以有很多人都沒辦法是說要了解我們的選舉方法還有裡面的公報的內容還有第12案還有選務人員的督導責任這個部分也是看起來就是姆薩薩所以這個我也是全檢
transcript.whisperx[1003].start 30168.556
transcript.whisperx[1003].end 30170.078
transcript.whisperx[1003].text 第45案是有來溝通說這個是要出國的本來是全檢但是後來現在就改組結議還有第48案因為在
transcript.whisperx[1004].start 30185.887
transcript.whisperx[1004].end 30198.455
transcript.whisperx[1004].text 這邊很多人在講我們的中選會的時候呢就是要去檢舉又要高到最後呢就是都濫用司法所以這個部分我們也是我也是檢列還有第49案也是一樣宅法選民這樣就變成是不具體這個我也是全檢以上報告好接著請高金委員
transcript.whisperx[1005].start 30213.278
transcript.whisperx[1005].end 30226.308
transcript.whisperx[1005].text 我在第二幕裡面的第6案、第7案、第31案就是分別對於這個選舉業務3014萬1000元我原來是凍結1000萬啦那現在他們來溝通之後我是同意這個凍結500萬那我要講一下我為什麼要凍結他的預算也就是說原住民的選舉的權益長期以來遭受侵害如主委剛剛講的他在任已經快要7年了
transcript.whisperx[1006].start 30242.76
transcript.whisperx[1006].end 30255.896
transcript.whisperx[1006].text 我們回顧8年的預算審查的過程都有立法委員提出秘密投票不再急投票還有原住民投票率過低原住民投票選入疏失的問題我們要要求中選會你來要求改善你剛剛講中選
transcript.whisperx[1007].start 30259.94
transcript.whisperx[1007].end 30279.926
transcript.whisperx[1007].text 中央跟地方是一體的為什麼我們原住民在投票的時候還是碰到非常多的問題更何況監察院早就在108年7月9號有正式的公告要糾正中央選舉委員會然後糾正案是說你們沒有督促各地方選舉委員會確實依照所定的標準設置投開票所
transcript.whisperx[1008].start 30284.967
transcript.whisperx[1008].end 30305.465
transcript.whisperx[1008].text 所以我們會看到113年度平地跟3D原住民立法委員的選舉僅一人的投票所分別是966還有1069家戶仍然是偏多的那113年度平地3D原住民立法選舉人僅三人的投票所
transcript.whisperx[1009].start 30306.266
transcript.whisperx[1009].end 30307.487
transcript.whisperx[1009].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[1010].start 30324.179
transcript.whisperx[1010].end 30325.32
transcript.whisperx[1010].text 5時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11
transcript.whisperx[1011].start 30349.376
transcript.whisperx[1011].end 30372.015
transcript.whisperx[1011].text 尤其是以原住民的立法委員更是明顯如果是縣市的議員如果是鄉長因為那是短兵相接所以大家都會回去但是總統跟立法委員的選舉你會看歷年來的數據都非常的低這個也都跟這有關係所以我們在說連菲律賓
transcript.whisperx[1012].start 30372.856
transcript.whisperx[1012].end 30374.317
transcript.whisperx[1012].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[1013].start 30395.467
transcript.whisperx[1013].end 30396.849
transcript.whisperx[1013].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[1014].start 30414.63
transcript.whisperx[1014].end 30436.698
transcript.whisperx[1014].text 選舉選舉是說我如果沒有告訴他我們原住民的選票是根本沒有放在桌子上的是放在抽屜裡面的如果我們選舉人沒有說我是原住民的話他就不拿選票出來那有一些人就是因為這樣子生氣不投票我們辦公室收到非常多的投訴所以呢我在第6案第7案第31案
transcript.whisperx[1015].start 30438.439
transcript.whisperx[1015].end 30464.724
transcript.whisperx[1015].text 我同意凍結500萬然後請你們在3個月內提出具體的這個解決方案解決方案第一秘密投票第二公投法脫鉤原住民不在籍第三原住民投票率過低的問題第四原住民投票選務疏失的改進所以以上是我在做跟大家做這樣的說明謝謝
transcript.whisperx[1016].start 30467.082
transcript.whisperx[1016].end 30488.834
transcript.whisperx[1016].text 接著請黃潔委員好謝謝那我講一下我的提案是關於身心障礙的部分因為我有接到一些身心障礙的呃民眾來跟我反映說現在我們投開票所的身心障礙的環境並沒有那麼友善那我有看了一下目前其實我們全台灣所有一百呃
transcript.whisperx[1017].start 30489.835
transcript.whisperx[1017].end 30510.997
transcript.whisperx[1017].text 一萬六千六百五十三個所裏面符合無障礙設施規定大概是93%就是還沒有完全百分之百那可能有一些民眾他就是使用到沒有那麼完善的包括說有一些沒有在一樓那有的是雖然在一樓但是他並沒有無障礙坡道
transcript.whisperx[1018].start 30511.637
transcript.whisperx[1018].end 30527.774
transcript.whisperx[1018].text 導致他們要去投票的時候造成非常大的不便所以這個是希望我們中選會再跟地方的選委會再把這一些投開票所布置的時候要一併考慮進去最好是可以達到百分之百這個我一定要替身心障礙者來請命謝謝
transcript.whisperx[1019].start 30530.691
transcript.whisperx[1019].end 30558.465
transcript.whisperx[1019].text 好接著請牛許庭委員好謝謝主席23案的部分是罷免案跟公投的這個電子連署啦那之前有講嘛現在執行的進度到底是怎麼樣公投的已經可以使用了是不是那罷免是因為要用一樣的系統嗎還是要用不一樣的系統因為一個是人一個是事有沒有一些差異現在打算怎麼處理是不是請中選會做一下說明這個第一個是這個我一次問啦待會一次回答
transcript.whisperx[1020].start 30559.534
transcript.whisperx[1020].end 30577.559
transcript.whisperx[1020].text 二十七案的部分剛剛應該那個大家都有談到啦就是說到底查對的那個估的估值的標準是什麼因為你估然後前幾年最多也只有用到352萬那你編500多萬是不是有寬裂的嫌疑這要怎麼來處理大家一起討論
transcript.whisperx[1021].start 30578.459
transcript.whisperx[1021].end 30597.166
transcript.whisperx[1021].text 二十八案跟三十四案這個前面有來過說明所以我們可以改組決議最後三十五跟三十六案雖然談的是原住民但是這個是老問題就是說一個票箱只有一張票兩張票就違背了這個所謂的無記名投票這樣的一個原則但是老問題也不太好處理那本期的建議是這樣其實這些東西
transcript.whisperx[1022].start 30600.367
transcript.whisperx[1022].end 30621.868
transcript.whisperx[1022].text 不在即投票或許可以解決一大部分的問題啦那其實我們在這個第一會期剛開始的時候沒有花一點時間去討論不在即投票那我們現在想了解中選會後來繼續做研究跟一些方案的一些研擬有沒有一些特別的進展所以說凍結一部分希望換到一個清楚的說明跟報告我提的幾個案子以上做說明謝謝這個請中選會回答一下我們剛剛一些問題謝謝
transcript.whisperx[1023].start 30624.178
transcript.whisperx[1023].end 30643.335
transcript.whisperx[1023].text 那等一下一併回答,接著請高金委員我剛剛講到的是第2個案,就是要有4個,然後第7個案的話是原住民立委缺額立即補選的問題因為原住民的委員,我們總共3屆原住民3席,平地原住民3席,如果缺額的話你們就不補
transcript.whisperx[1024].start 30643.996
transcript.whisperx[1024].end 30647.758
transcript.whisperx[1024].text 三、繼續審查114年度中央政府總預算案關於客家委員會及所屬部分。四、繼續審查114年度中央政府總預算案關於客家委員會及所屬單位預算。
transcript.whisperx[1025].start 30666.485
transcript.whisperx[1025].end 30667.906
transcript.whisperx[1025].text 6時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[1026].start 30689.443
transcript.whisperx[1026].end 30695.053
transcript.whisperx[1026].text 二十案。二十案是本席發現最近兩次公投選舉,選務滿意度調查中還有
transcript.whisperx[1027].start 30700.313
transcript.whisperx[1027].end 30722.728
transcript.whisperx[1027].text 三十九趴一百一十年是三十九趴一百一十一年是五十一趴的民眾表示呢這個都沒有聽過公投案也沒有看過公投案所以表示中選會對於公投案宣傳工作有非常大的努力空間所以本期這一個案這個凍結五百萬那希望能夠專報專案報告之後再來解凍
transcript.whisperx[1028].start 30725.734
transcript.whisperx[1028].end 30744.447
transcript.whisperx[1028].text 那再來專案報告然後經過同意後再解凍再來第26案這剛剛大家也有講等一下您也好好說明一下就是提案人聯署人名冊的查對費那本席覺得有扶編預算之餘所以簡列300萬元
transcript.whisperx[1029].start 30746.528
transcript.whisperx[1029].end 30767.416
transcript.whisperx[1029].text 那再來第29案29案就是我們有開過專案會議開過那個預算法案審查有關這個公投綁大選那主委一直的說難如登天公投綁大選難如登天所以本席凍結這項預算這個58萬1000元希望中選會就公投綁大選如何合併執行提出專案
transcript.whisperx[1030].start 30776.48
transcript.whisperx[1030].end 30800.521
transcript.whisperx[1030].text 改進方案後在專案報告後同意使得動之。接著第43案43案是針對中選會對候選人的一些假訊息沒有積極的查核以及沒有協助澄清不實的訊息對監察還有維護選舉公正性有失職之處所以凍結這項預算300萬元
transcript.whisperx[1031].start 30803.704
transcript.whisperx[1031].end 30825.298
transcript.whisperx[1031].text 那也是專案報告後經同意再動之。那最後44案,44案是有關這個一個議題大家在討論就是到底選舉前多久不可以發布民調那這個也牽扯到你們也常出國嘛剛剛也很多人提到那我們就發現啊
transcript.whisperx[1032].start 30826.559
transcript.whisperx[1032].end 30852.044
transcript.whisperx[1032].text 美國對於這個民調的部分沒有限制。丹麥沒有限制。荷蘭沒有限制。奧地利沒有限制。愛爾蘭沒有限制。南韓是投票前6天不得發布。德國的話是投票當日不能夠做出口民調。加拿大就是只有投票日當天不行。法國是投票前一天不行。西班牙前5天。所以呢這個針對這一個
transcript.whisperx[1033].start 30855.283
transcript.whisperx[1033].end 30871.076
transcript.whisperx[1033].text 預算本席凍結150萬也是專案報告後經同意使得凍支以上請行政單位就剛剛所有委員的這個提案詢問來做陸續的說明謝謝召委各位委員大家午安那針對剛剛各位委員這個所提的一個問題那一一的這個說明如下
transcript.whisperx[1034].start 30884.161
transcript.whisperx[1034].end 30901.43
transcript.whisperx[1034].text 第一個有關選舉業務費的這個部分如果這個是採檢列而且是全部檢列的話會導致業務無法這個推動那這個請這個務必這個審慎來這個處理那第二個呢是有這個委員提到
transcript.whisperx[1035].start 30902.371
transcript.whisperx[1035].end 30927.92
transcript.whisperx[1035].text 這個尊重原住民的這個投票秘密還有尊重原住民投票意願的這個部分我們都有在做一些細部的一個設計跟調整我們也會這個來把選務的這個部分持續來加以這個完備那至於委員這個所關心的有關原住民這個委員出缺補選的這個部分我們中選會原則上是支持
transcript.whisperx[1036].start 30928.641
transcript.whisperx[1036].end 30950.435
transcript.whisperx[1036].text 是採贊成的這個立場我們也會把相關的一個意見轉給這個選票法的一個主管機關內政部這個來參佐那委員這個提到有關身心障礙者這個投票檢核的這個部分我們是有循序漸進讓這個選舉年的這個部分能夠提高這個檢核率
transcript.whisperx[1037].start 30951.32
transcript.whisperx[1037].end 30965.798
transcript.whisperx[1037].text 這個部分我們依序來處理。那委員這個還有提到各式各樣的一個問題雖然沒有辦法一一的一個來回答但是在剛剛的這個說明中也有一些有跟大家這個做過報告第一個就是
transcript.whisperx[1038].start 30967.028
transcript.whisperx[1038].end 30992.87
transcript.whisperx[1038].text 有關不在籍投票的一個問題那選務機關的一個立場是先公投不在籍那等到公投不在籍成熟之後再來辦理這個選舉不在籍那至於全國性公民投票不在籍的投票法案中選會是有這個送過來給這個立法院這個審議過那後來因為這個戒期不連續的一個原則沒有這個續審那這個也跟大家這個來做一個報告
transcript.whisperx[1039].start 30994.741
transcript.whisperx[1039].end 31022.857
transcript.whisperx[1039].text 那其他各式各樣的一個問題包括這一個民調的這一個禁制期的一個問題各國的一個規範制度是略有這一個不同那考量到我國的一個這個國情跟選舉的這個競爭的這個激烈這個程度保留現在的這個10天的一個冷卻期禁制期還是有它的一個必要那這個相關的一個問題沒有辦法一一的這個回答的這個部分也請各位委員這個能夠了解
transcript.whisperx[1040].start 31025.629
transcript.whisperx[1040].end 31054.831
transcript.whisperx[1040].text 對不起喔,可不可以請問一下為什麼不在籍投票要公投先行,然後取得部分的一併呢?你講個理由那跟委員報告一下,不在籍這個投票它的一個制度因為涉及到社會信任的一個問題公投就沒有社會信任我們現在的這個投票這個制度它是有高度的一個社會信任的一個基礎那社會信任的一個共識的一個取得可以藉由先公投
transcript.whisperx[1041].start 31055.387
transcript.whisperx[1041].end 31070.574
transcript.whisperx[1041].text 公投這個施行這個事行之後如果大家的這個社會信任度這個提高之後在這個擴大到這個選舉而不適合一次就進入這個選舉的一個我不同意你的說法很抱歉我不接受還有沒有要說明的都說明完了好那
transcript.whisperx[1042].start 31082.865
transcript.whisperx[1042].end 31108.097
transcript.whisperx[1042].text 現在這樣選舉業務的部分從第5案到第15案選舉業務喔喔3000萬欸整目沒有那但是這裡面那現在整個
transcript.whisperx[1043].start 31109.502
transcript.whisperx[1043].end 31133.652
transcript.whisperx[1043].text 每個委員,他也包括國外旅遊啦,像黃建斌委員的126萬國外旅遊,還有那個趙偉明的也是。對,還有那個剛剛麥毓貞委員也有提到,麥毓貞委員也有。那個趙偉,其實大家都有按,整幕啊,其實整幕的預算也3000萬而已啦。
transcript.whisperx[1044].start 31135.092
transcript.whisperx[1044].end 31150.601
transcript.whisperx[1044].text 我是覺得我們看是不是整目凍結500他們要簡列我覺得簡列個100萬或150這樣子整目來處理所有病案我們要聽聽張昭偉有提案我們聽聽其他委員的意見張昭偉提案凍結500簡列150那其他人有其他意見的請說嗨
transcript.whisperx[1045].start 31161.465
transcript.whisperx[1045].end 31166.367
transcript.whisperx[1045].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[1046].start 31177.557
transcript.whisperx[1046].end 31205.212
transcript.whisperx[1046].text 民眾送以辦案這個是是在我們的法政業務這邊現在沒有在選舉啊所以法政這個部分這個工作也不用編列200多萬的預算啊就兩個就200多萬的預算所以我覺得有一些現在目前今明年沒有在用到的預算這就是不必要去編列啊
transcript.whisperx[1047].start 31207.298
transcript.whisperx[1047].end 31209.319
transcript.whisperx[1047].text 午10時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[1048].start 31233.352
transcript.whisperx[1048].end 31238.374
transcript.whisperx[1048].text 整幕一起就減列500你建議減列500沒有阿他現在是整個講阿
transcript.whisperx[1049].start 31246.257
transcript.whisperx[1049].end 31247.298
transcript.whisperx[1049].text 三個案子是具體可行改善的狀案報告
transcript.whisperx[1050].start 31267.361
transcript.whisperx[1050].end 31291.421
transcript.whisperx[1050].text 不要到時候給我們的專案報告又是剛剛那個副主委講的這個公投先行然後什麼人民信任案這個原住民的不在籍其實是很重要的我剛剛說了我們的投票率非常的低然後秘密投票的問題等等你如果可以先行跟公投一起先行的話或者是你就一的就整個不在籍投票整個都施行
transcript.whisperx[1051].start 31292.282
transcript.whisperx[1051].end 31319.34
transcript.whisperx[1051].text 所以你要把這幾個可具體的改善的專案報告提過來而不是又是你剛剛這樣一番的說法謝謝好那我們高金委員說的具體改善的方案要專案報告我們這邊即便統棟跟統山那我們要有專案報告那剛剛高金委員是棟500嘛我記得對所以麥委員是統山500高金委員統棟500有沒有意見
transcript.whisperx[1052].start 31321.101
transcript.whisperx[1052].end 31323.583
transcript.whisperx[1052].text 沒有意見我們這一幕我們這一幕是不是就這樣
transcript.whisperx[1053].start 31340.662
transcript.whisperx[1053].end 31352.271
transcript.whisperx[1053].text 報告主席跟各位委員其實中選會是一個很小的部會我們整個稅出預算也不過是4億8千多扣掉法定的支出
transcript.whisperx[1054].start 31355.814
transcript.whisperx[1054].end 31375.411
transcript.whisperx[1054].text 一役出逃案的並不是說明年明年其實是一個公投年雖然到目前為止還沒有公投案的成立但是難保什麼時候他突然一下子進來了我們還有很多選務必須要大大小小的選務必須要去進行
transcript.whisperx[1055].start 31376.412
transcript.whisperx[1055].end 31378.273
transcript.whisperx[1055].text 中央政府總預算案關於客家委員會及所屬部分。
transcript.whisperx[1056].start 31391.661
transcript.whisperx[1056].end 31394.363
transcript.whisperx[1056].text 中央政府總預算案關於客家委員會及所屬部分。
transcript.whisperx[1057].start 31410.919
transcript.whisperx[1057].end 31432.839
transcript.whisperx[1057].text 本席在這邊先說明這個所有委員其實是希望拿錢就是說預算是OK但是中選會常常很多事情不夠努力譬如像主委這個答詢的時候人家做得到的對你來說難如登天那能力不夠那就要加緊努力啊所以我們這個預算
transcript.whisperx[1058].start 31435.401
transcript.whisperx[1058].end 31435.741
transcript.whisperx[1058].text 9時至11時至11時至11時至11時至11時至11時至11時至11時至11時
transcript.whisperx[1059].start 31467.039
transcript.whisperx[1059].end 31483.732
transcript.whisperx[1059].text 上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時至上午9時
transcript.whisperx[1060].start 31485.754
transcript.whisperx[1060].end 31489.597
transcript.whisperx[1060].text 二、審查客家委員會及所屬部分。三、繼續審查客家委員會及所屬部分。
transcript.whisperx[1061].start 31502.187
transcript.whisperx[1061].end 31509.51
transcript.whisperx[1061].text 第二幕第二幕選舉約務第18、28、34、39、40、41、45案改組決議。區議員提案合併處理。檢列300萬元。凍結500萬元。向本會提出專案報告經同又使的通知。
transcript.whisperx[1062].start 31531.776
transcript.whisperx[1062].end 31532.917
transcript.whisperx[1062].text 午10至午11時文字修正。
transcript.whisperx[1063].start 31547.116
transcript.whisperx[1063].end 31550.398
transcript.whisperx[1063].text 我上面寫的是為了各年度的預算審查中央選舉委員會他有凝聚各所屬的細部計劃說明表
transcript.whisperx[1064].start 31563.326
transcript.whisperx[1064].end 31589.272
transcript.whisperx[1064].text 就各個分支細部計劃的計劃目標主要工作項目預期效益以及往年度相同或類似委辦獎補助或者是補助計劃的具體成效提供相關書面資料作為立法委員審查預算的時候的參考那麼當然我也考量中央選舉委員會預算所轄的工作是非常廣泛的而預算書僅僅概括說明
transcript.whisperx[1065].start 31591.613
transcript.whisperx[1065].end 31618.331
transcript.whisperx[1065].text 沒有辦法細究個別系部計劃執行情況所以我在這邊提案是不是要求中央選舉委員會你們去跟農業部討論一下農業部就是這樣他是擬具相類似的各年度預算的系部計劃的說明表然後並隨著年度預算書一併送到各立法院還有各立法院還有內政委員會的辦公室
transcript.whisperx[1066].start 31619.171
transcript.whisperx[1066].end 31642.461
transcript.whisperx[1066].text 以方便我們來審你們相關預算的審議所以我不知道你們對這個組決議有沒有什麼意見謝謝沒有意見齁我看你們沒有要表達有沒有意見快點有沒有問題你們到了辦公室來說已經是沒有問題啊現在又有什麼問題嗎
transcript.whisperx[1067].start 31644.949
transcript.whisperx[1067].end 31657.653
transcript.whisperx[1067].text 主委說沒問題所以整個組決議行政單位都沒問題委員們也沒問題了那我們就都照案通過囉好那現在我們請宣讀協商結論
transcript.whisperx[1068].start 31661.164
transcript.whisperx[1068].end 31686.816
transcript.whisperx[1068].text 一、市民入中央政府總預算案中央選舉委員會及所屬預算協商結論稅入部分預算照列稅出部分第11項動結第一案動結20萬元向本會提出專案報告經同意後使得動之第一幕一般行政第二案檢列100萬元動結10%向本會提出專案報告經同意後使得動之第三案檢列10%第四案動結50%
transcript.whisperx[1069].start 31690.24
transcript.whisperx[1069].end 31691.873
transcript.whisperx[1069].text 向本會提出書面報告後時的動之。
transcript.whisperx[1070].start 31694.451
transcript.whisperx[1070].end 31702.856
transcript.whisperx[1070].text 第二幕選舉業務第18、28、34、39、40、41、45案改組決議。其委員提案合併處理。檢列300萬元。凍結500萬元。向本會提出專案報告經同意後使得凍資。第三幕、第四幕、第五幕預算照列。組決議50、51兩案修正文字通過。52至57案照案通過。宣讀完畢。
transcript.whisperx[1071].start 31722.019
transcript.whisperx[1071].end 31746.467
transcript.whisperx[1071].text 好請問各位委員討論事項所列有關114年度中央政府總預算案關於中央選舉委員會及所屬部分有委員提案的部分照剛才宣讀的協商結論通過沒有提案的部分預算均照列請問有無異議無異議通過本次通過之決議文字授權主席及議事人員整理
transcript.whisperx[1072].start 31747.387
transcript.whisperx[1072].end 31764.192
transcript.whisperx[1072].text 那114年度中央政府總預算案關於中央選舉委員會及所屬部分。審查完均。擬據審查報告含附財政委員會提報院會。本日議程處理完畢。好,現在散會。好,感謝大家。謝謝。
transcript.whisperx[1073].start 31785.108
transcript.whisperx[1073].end 31792.691
transcript.whisperx[1073].text 午10時至午10時至午10時至午10時至午10時至午10時至午10時至午10時至午
transcript.whisperx[1074].start 31811.442
transcript.whisperx[1074].end 31814.368
transcript.whisperx[1074].text 下午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時至上午10時