iVOD / 16764

Field Value
IVOD_ID 16764
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16764
日期 2025-06-18
會議資料.會議代碼 聯席會議-11-3-19,26,22-1
會議資料.會議代碼:str 第11屆第3會期經濟、社會福利及衛生環境、教育及文化三委員會第1次聯席會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 1
會議資料.種類 聯席會議
會議資料.委員會代碼[0] 19
會議資料.委員會代碼[1] 26
會議資料.委員會代碼[2] 22
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.委員會代碼:str[1] 社會福利及衛生環境委員會
會議資料.委員會代碼:str[2] 教育及文化委員會
會議資料.標題 第11屆第3會期經濟、社會福利及衛生環境、教育及文化三委員會第1次聯席會議
影片種類 Full
開始時間 2025-06-18T08:30:45+08:00
結束時間 2025-06-18T15:22:00+08:00
影片長度 06:51:15
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/16eb79f0bb3b77db7536b190c0b7f68c5e5a7d9476abbdb38b19dddded0b194f917efe8ea7ca998b5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2025-06-18T09:00:00+08:00
會議名稱 立法院第11屆第3會期經濟、社會福利及衛生環境、教育及文化三委員會第1次聯席會議(事由:審查: 一、行政院函請審議「外國專業人才延攬及僱用法修正草案」案。 二、本院委員何欣純等19人擬具「外國專業人才延攬及僱用法第十二條及第十四條條文修正草案」案。 三、本院委員陳亭妃等16人擬具「外國專業人才延攬及僱用法第四條、第六條及第十四條條文修正草案」案。 四、本院委員蔡易餘等17人擬具「外國專業人才延攬及僱用法修正草案」案。 五、本院委員羅美玲等16人擬具「外國專業人才延攬及僱用法修正草案」案。(詢答) (第一案如未接獲議事處來函則不予審查。))
委員名稱 完整會議
委員發言時間 08:30:45 - 15:22:00
transcript.pyannote[0].speaker SPEAKER_26
transcript.pyannote[0].start 2379.20346875
transcript.pyannote[0].end 2380.80659375
transcript.pyannote[1].speaker SPEAKER_26
transcript.pyannote[1].start 2381.43096875
transcript.pyannote[1].end 2383.67534375
transcript.pyannote[2].speaker SPEAKER_26
transcript.pyannote[2].start 2384.60346875
transcript.pyannote[2].end 2385.48096875
transcript.pyannote[3].speaker SPEAKER_26
transcript.pyannote[3].start 2385.66659375
transcript.pyannote[3].end 2387.91096875
transcript.pyannote[4].speaker SPEAKER_26
transcript.pyannote[4].start 2388.40034375
transcript.pyannote[4].end 2391.99471875
transcript.pyannote[5].speaker SPEAKER_12
transcript.pyannote[5].start 2391.99471875
transcript.pyannote[5].end 2392.01159375
transcript.pyannote[6].speaker SPEAKER_26
transcript.pyannote[6].start 2393.09159375
transcript.pyannote[6].end 2393.12534375
transcript.pyannote[7].speaker SPEAKER_12
transcript.pyannote[7].start 2393.12534375
transcript.pyannote[7].end 2406.37221875
transcript.pyannote[8].speaker SPEAKER_12
transcript.pyannote[8].start 2406.47346875
transcript.pyannote[8].end 2413.91534375
transcript.pyannote[9].speaker SPEAKER_12
transcript.pyannote[9].start 2414.06721875
transcript.pyannote[9].end 2424.93471875
transcript.pyannote[10].speaker SPEAKER_12
transcript.pyannote[10].start 2426.57159375
transcript.pyannote[10].end 2426.97659375
transcript.pyannote[11].speaker SPEAKER_26
transcript.pyannote[11].start 2426.97659375
transcript.pyannote[11].end 2430.13221875
transcript.pyannote[12].speaker SPEAKER_26
transcript.pyannote[12].start 2430.43596875
transcript.pyannote[12].end 2444.89784375
transcript.pyannote[13].speaker SPEAKER_26
transcript.pyannote[13].start 2445.85971875
transcript.pyannote[13].end 2446.61909375
transcript.pyannote[14].speaker SPEAKER_26
transcript.pyannote[14].start 2446.92284375
transcript.pyannote[14].end 2449.28534375
transcript.pyannote[15].speaker SPEAKER_26
transcript.pyannote[15].start 2451.12471875
transcript.pyannote[15].end 2452.91346875
transcript.pyannote[16].speaker SPEAKER_26
transcript.pyannote[16].start 2453.53784375
transcript.pyannote[16].end 2460.22034375
transcript.pyannote[17].speaker SPEAKER_26
transcript.pyannote[17].start 2462.65034375
transcript.pyannote[17].end 2465.70471875
transcript.pyannote[18].speaker SPEAKER_26
transcript.pyannote[18].start 2466.14346875
transcript.pyannote[18].end 2469.77159375
transcript.pyannote[19].speaker SPEAKER_26
transcript.pyannote[19].start 2469.95721875
transcript.pyannote[19].end 2470.76721875
transcript.pyannote[20].speaker SPEAKER_26
transcript.pyannote[20].start 2471.77971875
transcript.pyannote[20].end 2472.82596875
transcript.pyannote[21].speaker SPEAKER_26
transcript.pyannote[21].start 2473.33221875
transcript.pyannote[21].end 2474.44596875
transcript.pyannote[22].speaker SPEAKER_26
transcript.pyannote[22].start 2474.81721875
transcript.pyannote[22].end 2475.82971875
transcript.pyannote[23].speaker SPEAKER_26
transcript.pyannote[23].start 2476.20096875
transcript.pyannote[23].end 2478.49596875
transcript.pyannote[24].speaker SPEAKER_26
transcript.pyannote[24].start 2481.26346875
transcript.pyannote[24].end 2481.51659375
transcript.pyannote[25].speaker SPEAKER_26
transcript.pyannote[25].start 2482.12409375
transcript.pyannote[25].end 2483.00159375
transcript.pyannote[26].speaker SPEAKER_26
transcript.pyannote[26].start 2483.60909375
transcript.pyannote[26].end 2485.90409375
transcript.pyannote[27].speaker SPEAKER_26
transcript.pyannote[27].start 2486.25846875
transcript.pyannote[27].end 2486.96721875
transcript.pyannote[28].speaker SPEAKER_26
transcript.pyannote[28].start 2487.23721875
transcript.pyannote[28].end 2489.12721875
transcript.pyannote[29].speaker SPEAKER_26
transcript.pyannote[29].start 2490.40971875
transcript.pyannote[29].end 2490.61221875
transcript.pyannote[30].speaker SPEAKER_26
transcript.pyannote[30].start 2491.74284375
transcript.pyannote[30].end 2494.47659375
transcript.pyannote[31].speaker SPEAKER_26
transcript.pyannote[31].start 2495.03346875
transcript.pyannote[31].end 2498.17221875
transcript.pyannote[32].speaker SPEAKER_26
transcript.pyannote[32].start 2499.28596875
transcript.pyannote[32].end 2499.65721875
transcript.pyannote[33].speaker SPEAKER_26
transcript.pyannote[33].start 2500.88909375
transcript.pyannote[33].end 2502.49221875
transcript.pyannote[34].speaker SPEAKER_26
transcript.pyannote[34].start 2502.82971875
transcript.pyannote[34].end 2503.58909375
transcript.pyannote[35].speaker SPEAKER_26
transcript.pyannote[35].start 2504.06159375
transcript.pyannote[35].end 2505.81659375
transcript.pyannote[36].speaker SPEAKER_26
transcript.pyannote[36].start 2506.72784375
transcript.pyannote[36].end 2507.41971875
transcript.pyannote[37].speaker SPEAKER_26
transcript.pyannote[37].start 2508.49971875
transcript.pyannote[37].end 2512.02659375
transcript.pyannote[38].speaker SPEAKER_26
transcript.pyannote[38].start 2512.39784375
transcript.pyannote[38].end 2513.47784375
transcript.pyannote[39].speaker SPEAKER_26
transcript.pyannote[39].start 2514.79409375
transcript.pyannote[39].end 2515.06409375
transcript.pyannote[40].speaker SPEAKER_26
transcript.pyannote[40].start 2516.38034375
transcript.pyannote[40].end 2520.07596875
transcript.pyannote[41].speaker SPEAKER_26
transcript.pyannote[41].start 2521.69596875
transcript.pyannote[41].end 2522.38784375
transcript.pyannote[42].speaker SPEAKER_26
transcript.pyannote[42].start 2523.28221875
transcript.pyannote[42].end 2524.91909375
transcript.pyannote[43].speaker SPEAKER_26
transcript.pyannote[43].start 2525.20596875
transcript.pyannote[43].end 2527.73721875
transcript.pyannote[44].speaker SPEAKER_26
transcript.pyannote[44].start 2528.36159375
transcript.pyannote[44].end 2529.69471875
transcript.pyannote[45].speaker SPEAKER_26
transcript.pyannote[45].start 2530.84221875
transcript.pyannote[45].end 2531.06159375
transcript.pyannote[46].speaker SPEAKER_26
transcript.pyannote[46].start 2533.81221875
transcript.pyannote[46].end 2538.45284375
transcript.pyannote[47].speaker SPEAKER_26
transcript.pyannote[47].start 2539.92096875
transcript.pyannote[47].end 2543.83596875
transcript.pyannote[48].speaker SPEAKER_26
transcript.pyannote[48].start 2546.75534375
transcript.pyannote[48].end 2548.81409375
transcript.pyannote[49].speaker SPEAKER_26
transcript.pyannote[49].start 2548.96596875
transcript.pyannote[49].end 2550.99096875
transcript.pyannote[50].speaker SPEAKER_26
transcript.pyannote[50].start 2552.15534375
transcript.pyannote[50].end 2552.72909375
transcript.pyannote[51].speaker SPEAKER_26
transcript.pyannote[51].start 2553.40409375
transcript.pyannote[51].end 2559.73221875
transcript.pyannote[52].speaker SPEAKER_26
transcript.pyannote[52].start 2561.52096875
transcript.pyannote[52].end 2563.27596875
transcript.pyannote[53].speaker SPEAKER_26
transcript.pyannote[53].start 2564.18721875
transcript.pyannote[53].end 2568.10221875
transcript.pyannote[54].speaker SPEAKER_26
transcript.pyannote[54].start 2569.13159375
transcript.pyannote[54].end 2569.78971875
transcript.pyannote[55].speaker SPEAKER_26
transcript.pyannote[55].start 2570.48159375
transcript.pyannote[55].end 2573.51909375
transcript.pyannote[56].speaker SPEAKER_26
transcript.pyannote[56].start 2573.75534375
transcript.pyannote[56].end 2574.91971875
transcript.pyannote[57].speaker SPEAKER_26
transcript.pyannote[57].start 2576.13471875
transcript.pyannote[57].end 2576.87721875
transcript.pyannote[58].speaker SPEAKER_26
transcript.pyannote[58].start 2578.09221875
transcript.pyannote[58].end 2581.75409375
transcript.pyannote[59].speaker SPEAKER_26
transcript.pyannote[59].start 2581.88909375
transcript.pyannote[59].end 2582.86784375
transcript.pyannote[60].speaker SPEAKER_26
transcript.pyannote[60].start 2584.18409375
transcript.pyannote[60].end 2584.36971875
transcript.pyannote[61].speaker SPEAKER_26
transcript.pyannote[61].start 2584.89284375
transcript.pyannote[61].end 2586.41159375
transcript.pyannote[62].speaker SPEAKER_26
transcript.pyannote[62].start 2586.61409375
transcript.pyannote[62].end 2590.71471875
transcript.pyannote[63].speaker SPEAKER_26
transcript.pyannote[63].start 2591.20409375
transcript.pyannote[63].end 2593.12784375
transcript.pyannote[64].speaker SPEAKER_26
transcript.pyannote[64].start 2593.39784375
transcript.pyannote[64].end 2599.67534375
transcript.pyannote[65].speaker SPEAKER_22
transcript.pyannote[65].start 2609.10846875
transcript.pyannote[65].end 2723.72346875
transcript.pyannote[66].speaker SPEAKER_22
transcript.pyannote[66].start 2724.07784375
transcript.pyannote[66].end 2732.88659375
transcript.pyannote[67].speaker SPEAKER_22
transcript.pyannote[67].start 2733.19034375
transcript.pyannote[67].end 2734.72596875
transcript.pyannote[68].speaker SPEAKER_22
transcript.pyannote[68].start 2735.23221875
transcript.pyannote[68].end 2757.96284375
transcript.pyannote[69].speaker SPEAKER_11
transcript.pyannote[69].start 2757.96284375
transcript.pyannote[69].end 2765.03346875
transcript.pyannote[70].speaker SPEAKER_22
transcript.pyannote[70].start 2765.03346875
transcript.pyannote[70].end 2791.35846875
transcript.pyannote[71].speaker SPEAKER_26
transcript.pyannote[71].start 2795.32409375
transcript.pyannote[71].end 2797.16346875
transcript.pyannote[72].speaker SPEAKER_26
transcript.pyannote[72].start 2797.97346875
transcript.pyannote[72].end 2801.46659375
transcript.pyannote[73].speaker SPEAKER_26
transcript.pyannote[73].start 2801.58471875
transcript.pyannote[73].end 2805.39846875
transcript.pyannote[74].speaker SPEAKER_26
transcript.pyannote[74].start 2806.09034375
transcript.pyannote[74].end 2806.95096875
transcript.pyannote[75].speaker SPEAKER_05
transcript.pyannote[75].start 2816.26596875
transcript.pyannote[75].end 2819.92784375
transcript.pyannote[76].speaker SPEAKER_05
transcript.pyannote[76].start 2820.43409375
transcript.pyannote[76].end 2829.46221875
transcript.pyannote[77].speaker SPEAKER_05
transcript.pyannote[77].start 2829.52971875
transcript.pyannote[77].end 2829.54659375
transcript.pyannote[78].speaker SPEAKER_05
transcript.pyannote[78].start 2829.58034375
transcript.pyannote[78].end 2833.91721875
transcript.pyannote[79].speaker SPEAKER_05
transcript.pyannote[79].start 2834.30534375
transcript.pyannote[79].end 2853.76221875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 2842.45596875
transcript.pyannote[80].end 2842.77659375
transcript.pyannote[81].speaker SPEAKER_08
transcript.pyannote[81].start 2847.26534375
transcript.pyannote[81].end 2847.29909375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 2847.29909375
transcript.pyannote[82].end 2847.31596875
transcript.pyannote[83].speaker SPEAKER_08
transcript.pyannote[83].start 2847.31596875
transcript.pyannote[83].end 2847.33284375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 2847.33284375
transcript.pyannote[84].end 2847.34971875
transcript.pyannote[85].speaker SPEAKER_08
transcript.pyannote[85].start 2847.34971875
transcript.pyannote[85].end 2847.61971875
transcript.pyannote[86].speaker SPEAKER_08
transcript.pyannote[86].start 2853.76221875
transcript.pyannote[86].end 2854.26846875
transcript.pyannote[87].speaker SPEAKER_05
transcript.pyannote[87].start 2854.35284375
transcript.pyannote[87].end 2880.22221875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 2875.95284375
transcript.pyannote[88].end 2876.98221875
transcript.pyannote[89].speaker SPEAKER_05
transcript.pyannote[89].start 2880.32346875
transcript.pyannote[89].end 2880.82971875
transcript.pyannote[90].speaker SPEAKER_05
transcript.pyannote[90].start 2880.98159375
transcript.pyannote[90].end 2968.73159375
transcript.pyannote[91].speaker SPEAKER_05
transcript.pyannote[91].start 2968.95096875
transcript.pyannote[91].end 3113.82284375
transcript.pyannote[92].speaker SPEAKER_05
transcript.pyannote[92].start 3114.00846875
transcript.pyannote[92].end 3242.05596875
transcript.pyannote[93].speaker SPEAKER_05
transcript.pyannote[93].start 3242.68034375
transcript.pyannote[93].end 3279.56909375
transcript.pyannote[94].speaker SPEAKER_05
transcript.pyannote[94].start 3279.85596875
transcript.pyannote[94].end 3320.79471875
transcript.pyannote[95].speaker SPEAKER_05
transcript.pyannote[95].start 3321.55409375
transcript.pyannote[95].end 3330.07596875
transcript.pyannote[96].speaker SPEAKER_05
transcript.pyannote[96].start 3330.54846875
transcript.pyannote[96].end 3348.31784375
transcript.pyannote[97].speaker SPEAKER_05
transcript.pyannote[97].start 3348.84096875
transcript.pyannote[97].end 3353.32971875
transcript.pyannote[98].speaker SPEAKER_05
transcript.pyannote[98].start 3354.13971875
transcript.pyannote[98].end 3391.73721875
transcript.pyannote[99].speaker SPEAKER_26
transcript.pyannote[99].start 3393.62721875
transcript.pyannote[99].end 3395.50034375
transcript.pyannote[100].speaker SPEAKER_26
transcript.pyannote[100].start 3395.77034375
transcript.pyannote[100].end 3403.93784375
transcript.pyannote[101].speaker SPEAKER_26
transcript.pyannote[101].start 3404.12346875
transcript.pyannote[101].end 3414.92346875
transcript.pyannote[102].speaker SPEAKER_26
transcript.pyannote[102].start 3415.14284375
transcript.pyannote[102].end 3424.03596875
transcript.pyannote[103].speaker SPEAKER_22
transcript.pyannote[103].start 3431.76471875
transcript.pyannote[103].end 3435.29159375
transcript.pyannote[104].speaker SPEAKER_26
transcript.pyannote[104].start 3435.56159375
transcript.pyannote[104].end 3437.23221875
transcript.pyannote[105].speaker SPEAKER_26
transcript.pyannote[105].start 3443.76284375
transcript.pyannote[105].end 3443.79659375
transcript.pyannote[106].speaker SPEAKER_05
transcript.pyannote[106].start 3443.79659375
transcript.pyannote[106].end 3444.37034375
transcript.pyannote[107].speaker SPEAKER_22
transcript.pyannote[107].start 3444.37034375
transcript.pyannote[107].end 3449.38221875
transcript.pyannote[108].speaker SPEAKER_22
transcript.pyannote[108].start 3449.61846875
transcript.pyannote[108].end 3452.21721875
transcript.pyannote[109].speaker SPEAKER_22
transcript.pyannote[109].start 3452.40284375
transcript.pyannote[109].end 3452.94284375
transcript.pyannote[110].speaker SPEAKER_22
transcript.pyannote[110].start 3453.49971875
transcript.pyannote[110].end 3461.00909375
transcript.pyannote[111].speaker SPEAKER_22
transcript.pyannote[111].start 3461.39721875
transcript.pyannote[111].end 3465.73409375
transcript.pyannote[112].speaker SPEAKER_22
transcript.pyannote[112].start 3466.35846875
transcript.pyannote[112].end 3477.04034375
transcript.pyannote[113].speaker SPEAKER_22
transcript.pyannote[113].start 3477.34409375
transcript.pyannote[113].end 3483.46971875
transcript.pyannote[114].speaker SPEAKER_22
transcript.pyannote[114].start 3484.11096875
transcript.pyannote[114].end 3491.06346875
transcript.pyannote[115].speaker SPEAKER_22
transcript.pyannote[115].start 3491.70471875
transcript.pyannote[115].end 3492.68346875
transcript.pyannote[116].speaker SPEAKER_22
transcript.pyannote[116].start 3493.67909375
transcript.pyannote[116].end 3495.92346875
transcript.pyannote[117].speaker SPEAKER_22
transcript.pyannote[117].start 3497.05409375
transcript.pyannote[117].end 3501.28971875
transcript.pyannote[118].speaker SPEAKER_22
transcript.pyannote[118].start 3501.93096875
transcript.pyannote[118].end 3502.09971875
transcript.pyannote[119].speaker SPEAKER_05
transcript.pyannote[119].start 3502.09971875
transcript.pyannote[119].end 3502.31909375
transcript.pyannote[120].speaker SPEAKER_05
transcript.pyannote[120].start 3502.53846875
transcript.pyannote[120].end 3511.73534375
transcript.pyannote[121].speaker SPEAKER_05
transcript.pyannote[121].start 3512.02221875
transcript.pyannote[121].end 3513.91221875
transcript.pyannote[122].speaker SPEAKER_05
transcript.pyannote[122].start 3514.26659375
transcript.pyannote[122].end 3518.89034375
transcript.pyannote[123].speaker SPEAKER_22
transcript.pyannote[123].start 3518.29971875
transcript.pyannote[123].end 3519.80159375
transcript.pyannote[124].speaker SPEAKER_05
transcript.pyannote[124].start 3520.40909375
transcript.pyannote[124].end 3520.66221875
transcript.pyannote[125].speaker SPEAKER_05
transcript.pyannote[125].start 3521.74221875
transcript.pyannote[125].end 3523.56471875
transcript.pyannote[126].speaker SPEAKER_22
transcript.pyannote[126].start 3523.17659375
transcript.pyannote[126].end 3530.82096875
transcript.pyannote[127].speaker SPEAKER_22
transcript.pyannote[127].start 3531.04034375
transcript.pyannote[127].end 3532.15409375
transcript.pyannote[128].speaker SPEAKER_22
transcript.pyannote[128].start 3532.64346875
transcript.pyannote[128].end 3537.04784375
transcript.pyannote[129].speaker SPEAKER_07
transcript.pyannote[129].start 3535.66409375
transcript.pyannote[129].end 3535.68096875
transcript.pyannote[130].speaker SPEAKER_05
transcript.pyannote[130].start 3535.68096875
transcript.pyannote[130].end 3535.98471875
transcript.pyannote[131].speaker SPEAKER_07
transcript.pyannote[131].start 3535.98471875
transcript.pyannote[131].end 3536.00159375
transcript.pyannote[132].speaker SPEAKER_05
transcript.pyannote[132].start 3538.22909375
transcript.pyannote[132].end 3539.32596875
transcript.pyannote[133].speaker SPEAKER_22
transcript.pyannote[133].start 3538.81971875
transcript.pyannote[133].end 3541.21596875
transcript.pyannote[134].speaker SPEAKER_22
transcript.pyannote[134].start 3541.62096875
transcript.pyannote[134].end 3548.01659375
transcript.pyannote[135].speaker SPEAKER_05
transcript.pyannote[135].start 3543.98346875
transcript.pyannote[135].end 3544.03409375
transcript.pyannote[136].speaker SPEAKER_16
transcript.pyannote[136].start 3544.03409375
transcript.pyannote[136].end 3545.63721875
transcript.pyannote[137].speaker SPEAKER_22
transcript.pyannote[137].start 3548.55659375
transcript.pyannote[137].end 3549.92346875
transcript.pyannote[138].speaker SPEAKER_22
transcript.pyannote[138].start 3550.24409375
transcript.pyannote[138].end 3558.63096875
transcript.pyannote[139].speaker SPEAKER_22
transcript.pyannote[139].start 3559.42409375
transcript.pyannote[139].end 3561.53346875
transcript.pyannote[140].speaker SPEAKER_22
transcript.pyannote[140].start 3562.29284375
transcript.pyannote[140].end 3580.21409375
transcript.pyannote[141].speaker SPEAKER_22
transcript.pyannote[141].start 3580.38284375
transcript.pyannote[141].end 3585.96846875
transcript.pyannote[142].speaker SPEAKER_16
transcript.pyannote[142].start 3586.08659375
transcript.pyannote[142].end 3586.10346875
transcript.pyannote[143].speaker SPEAKER_27
transcript.pyannote[143].start 3586.10346875
transcript.pyannote[143].end 3586.35659375
transcript.pyannote[144].speaker SPEAKER_22
transcript.pyannote[144].start 3586.35659375
transcript.pyannote[144].end 3596.81909375
transcript.pyannote[145].speaker SPEAKER_27
transcript.pyannote[145].start 3586.39034375
transcript.pyannote[145].end 3586.40721875
transcript.pyannote[146].speaker SPEAKER_22
transcript.pyannote[146].start 3597.34221875
transcript.pyannote[146].end 3603.41721875
transcript.pyannote[147].speaker SPEAKER_22
transcript.pyannote[147].start 3603.87284375
transcript.pyannote[147].end 3606.40409375
transcript.pyannote[148].speaker SPEAKER_22
transcript.pyannote[148].start 3606.92721875
transcript.pyannote[148].end 3609.74534375
transcript.pyannote[149].speaker SPEAKER_05
transcript.pyannote[149].start 3606.97784375
transcript.pyannote[149].end 3607.31534375
transcript.pyannote[150].speaker SPEAKER_05
transcript.pyannote[150].start 3609.28971875
transcript.pyannote[150].end 3634.29846875
transcript.pyannote[151].speaker SPEAKER_22
transcript.pyannote[151].start 3634.12971875
transcript.pyannote[151].end 3638.04471875
transcript.pyannote[152].speaker SPEAKER_05
transcript.pyannote[152].start 3635.14221875
transcript.pyannote[152].end 3635.26034375
transcript.pyannote[153].speaker SPEAKER_05
transcript.pyannote[153].start 3638.04471875
transcript.pyannote[153].end 3639.73221875
transcript.pyannote[154].speaker SPEAKER_05
transcript.pyannote[154].start 3639.95159375
transcript.pyannote[154].end 3641.65596875
transcript.pyannote[155].speaker SPEAKER_05
transcript.pyannote[155].start 3641.97659375
transcript.pyannote[155].end 3642.28034375
transcript.pyannote[156].speaker SPEAKER_05
transcript.pyannote[156].start 3642.73596875
transcript.pyannote[156].end 3650.86971875
transcript.pyannote[157].speaker SPEAKER_18
transcript.pyannote[157].start 3650.76846875
transcript.pyannote[157].end 3650.78534375
transcript.pyannote[158].speaker SPEAKER_22
transcript.pyannote[158].start 3650.78534375
transcript.pyannote[158].end 3653.82284375
transcript.pyannote[159].speaker SPEAKER_05
transcript.pyannote[159].start 3651.49409375
transcript.pyannote[159].end 3651.86534375
transcript.pyannote[160].speaker SPEAKER_05
transcript.pyannote[160].start 3653.55284375
transcript.pyannote[160].end 3655.91534375
transcript.pyannote[161].speaker SPEAKER_22
transcript.pyannote[161].start 3655.61159375
transcript.pyannote[161].end 3684.63659375
transcript.pyannote[162].speaker SPEAKER_05
transcript.pyannote[162].start 3663.22221875
transcript.pyannote[162].end 3663.52596875
transcript.pyannote[163].speaker SPEAKER_07
transcript.pyannote[163].start 3663.52596875
transcript.pyannote[163].end 3663.57659375
transcript.pyannote[164].speaker SPEAKER_22
transcript.pyannote[164].start 3684.87284375
transcript.pyannote[164].end 3688.12971875
transcript.pyannote[165].speaker SPEAKER_22
transcript.pyannote[165].start 3688.34909375
transcript.pyannote[165].end 3698.50784375
transcript.pyannote[166].speaker SPEAKER_22
transcript.pyannote[166].start 3698.91284375
transcript.pyannote[166].end 3708.26159375
transcript.pyannote[167].speaker SPEAKER_22
transcript.pyannote[167].start 3709.25721875
transcript.pyannote[167].end 3712.95284375
transcript.pyannote[168].speaker SPEAKER_22
transcript.pyannote[168].start 3713.39159375
transcript.pyannote[168].end 3719.98971875
transcript.pyannote[169].speaker SPEAKER_22
transcript.pyannote[169].start 3720.32721875
transcript.pyannote[169].end 3724.15784375
transcript.pyannote[170].speaker SPEAKER_22
transcript.pyannote[170].start 3724.36034375
transcript.pyannote[170].end 3728.54534375
transcript.pyannote[171].speaker SPEAKER_22
transcript.pyannote[171].start 3728.84909375
transcript.pyannote[171].end 3732.98346875
transcript.pyannote[172].speaker SPEAKER_22
transcript.pyannote[172].start 3733.32096875
transcript.pyannote[172].end 3741.72471875
transcript.pyannote[173].speaker SPEAKER_22
transcript.pyannote[173].start 3742.12971875
transcript.pyannote[173].end 3751.56284375
transcript.pyannote[174].speaker SPEAKER_22
transcript.pyannote[174].start 3751.78221875
transcript.pyannote[174].end 3761.24909375
transcript.pyannote[175].speaker SPEAKER_22
transcript.pyannote[175].start 3761.77221875
transcript.pyannote[175].end 3765.51846875
transcript.pyannote[176].speaker SPEAKER_22
transcript.pyannote[176].start 3765.95721875
transcript.pyannote[176].end 3767.93159375
transcript.pyannote[177].speaker SPEAKER_22
transcript.pyannote[177].start 3768.08346875
transcript.pyannote[177].end 3770.04096875
transcript.pyannote[178].speaker SPEAKER_22
transcript.pyannote[178].start 3770.49659375
transcript.pyannote[178].end 3770.59784375
transcript.pyannote[179].speaker SPEAKER_22
transcript.pyannote[179].start 3770.96909375
transcript.pyannote[179].end 3773.75346875
transcript.pyannote[180].speaker SPEAKER_22
transcript.pyannote[180].start 3774.71534375
transcript.pyannote[180].end 3785.00909375
transcript.pyannote[181].speaker SPEAKER_22
transcript.pyannote[181].start 3785.43096875
transcript.pyannote[181].end 3787.27034375
transcript.pyannote[182].speaker SPEAKER_05
transcript.pyannote[182].start 3787.59096875
transcript.pyannote[182].end 3788.43471875
transcript.pyannote[183].speaker SPEAKER_22
transcript.pyannote[183].start 3787.69221875
transcript.pyannote[183].end 3788.29971875
transcript.pyannote[184].speaker SPEAKER_05
transcript.pyannote[184].start 3788.63721875
transcript.pyannote[184].end 3795.84284375
transcript.pyannote[185].speaker SPEAKER_05
transcript.pyannote[185].start 3795.87659375
transcript.pyannote[185].end 3803.11596875
transcript.pyannote[186].speaker SPEAKER_22
transcript.pyannote[186].start 3803.16659375
transcript.pyannote[186].end 3816.75096875
transcript.pyannote[187].speaker SPEAKER_22
transcript.pyannote[187].start 3817.42596875
transcript.pyannote[187].end 3818.80971875
transcript.pyannote[188].speaker SPEAKER_22
transcript.pyannote[188].start 3818.91096875
transcript.pyannote[188].end 3826.89284375
transcript.pyannote[189].speaker SPEAKER_22
transcript.pyannote[189].start 3827.66909375
transcript.pyannote[189].end 3833.64284375
transcript.pyannote[190].speaker SPEAKER_17
transcript.pyannote[190].start 3831.78659375
transcript.pyannote[190].end 3832.17471875
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 3832.17471875
transcript.pyannote[191].end 3832.19159375
transcript.pyannote[192].speaker SPEAKER_22
transcript.pyannote[192].start 3834.26721875
transcript.pyannote[192].end 3855.41159375
transcript.pyannote[193].speaker SPEAKER_12
transcript.pyannote[193].start 3834.28409375
transcript.pyannote[193].end 3834.55409375
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 3834.55409375
transcript.pyannote[194].end 3834.57096875
transcript.pyannote[195].speaker SPEAKER_22
transcript.pyannote[195].start 3855.76596875
transcript.pyannote[195].end 3858.83721875
transcript.pyannote[196].speaker SPEAKER_05
transcript.pyannote[196].start 3858.43221875
transcript.pyannote[196].end 3869.95784375
transcript.pyannote[197].speaker SPEAKER_22
transcript.pyannote[197].start 3870.24471875
transcript.pyannote[197].end 3878.98596875
transcript.pyannote[198].speaker SPEAKER_05
transcript.pyannote[198].start 3870.29534375
transcript.pyannote[198].end 3870.61596875
transcript.pyannote[199].speaker SPEAKER_05
transcript.pyannote[199].start 3872.48909375
transcript.pyannote[199].end 3873.75471875
transcript.pyannote[200].speaker SPEAKER_22
transcript.pyannote[200].start 3879.20534375
transcript.pyannote[200].end 3879.89721875
transcript.pyannote[201].speaker SPEAKER_05
transcript.pyannote[201].start 3879.25596875
transcript.pyannote[201].end 3879.93096875
transcript.pyannote[202].speaker SPEAKER_22
transcript.pyannote[202].start 3879.93096875
transcript.pyannote[202].end 3879.96471875
transcript.pyannote[203].speaker SPEAKER_05
transcript.pyannote[203].start 3879.96471875
transcript.pyannote[203].end 3888.21659375
transcript.pyannote[204].speaker SPEAKER_22
transcript.pyannote[204].start 3881.80409375
transcript.pyannote[204].end 3882.83346875
transcript.pyannote[205].speaker SPEAKER_05
transcript.pyannote[205].start 3888.50346875
transcript.pyannote[205].end 3891.00096875
transcript.pyannote[206].speaker SPEAKER_05
transcript.pyannote[206].start 3891.32159375
transcript.pyannote[206].end 3947.44784375
transcript.pyannote[207].speaker SPEAKER_05
transcript.pyannote[207].start 3947.46471875
transcript.pyannote[207].end 3947.48159375
transcript.pyannote[208].speaker SPEAKER_22
transcript.pyannote[208].start 3947.48159375
transcript.pyannote[208].end 3948.20721875
transcript.pyannote[209].speaker SPEAKER_22
transcript.pyannote[209].start 3948.34221875
transcript.pyannote[209].end 3959.04096875
transcript.pyannote[210].speaker SPEAKER_05
transcript.pyannote[210].start 3949.11846875
transcript.pyannote[210].end 3949.32096875
transcript.pyannote[211].speaker SPEAKER_22
transcript.pyannote[211].start 3959.20971875
transcript.pyannote[211].end 3978.63284375
transcript.pyannote[212].speaker SPEAKER_27
transcript.pyannote[212].start 3978.80159375
transcript.pyannote[212].end 3978.97034375
transcript.pyannote[213].speaker SPEAKER_22
transcript.pyannote[213].start 3978.97034375
transcript.pyannote[213].end 3991.33971875
transcript.pyannote[214].speaker SPEAKER_05
transcript.pyannote[214].start 3988.89284375
transcript.pyannote[214].end 3989.07846875
transcript.pyannote[215].speaker SPEAKER_05
transcript.pyannote[215].start 3991.27221875
transcript.pyannote[215].end 3994.20846875
transcript.pyannote[216].speaker SPEAKER_22
transcript.pyannote[216].start 3991.50846875
transcript.pyannote[216].end 3992.14971875
transcript.pyannote[217].speaker SPEAKER_22
transcript.pyannote[217].start 3993.17909375
transcript.pyannote[217].end 3995.57534375
transcript.pyannote[218].speaker SPEAKER_22
transcript.pyannote[218].start 3995.92971875
transcript.pyannote[218].end 3998.66346875
transcript.pyannote[219].speaker SPEAKER_22
transcript.pyannote[219].start 3999.20346875
transcript.pyannote[219].end 4000.92471875
transcript.pyannote[220].speaker SPEAKER_22
transcript.pyannote[220].start 4001.39721875
transcript.pyannote[220].end 4002.61221875
transcript.pyannote[221].speaker SPEAKER_22
transcript.pyannote[221].start 4002.93284375
transcript.pyannote[221].end 4009.31159375
transcript.pyannote[222].speaker SPEAKER_22
transcript.pyannote[222].start 4009.34534375
transcript.pyannote[222].end 4018.84596875
transcript.pyannote[223].speaker SPEAKER_05
transcript.pyannote[223].start 4018.01909375
transcript.pyannote[223].end 4018.40721875
transcript.pyannote[224].speaker SPEAKER_05
transcript.pyannote[224].start 4018.76159375
transcript.pyannote[224].end 4027.95846875
transcript.pyannote[225].speaker SPEAKER_05
transcript.pyannote[225].start 4028.58284375
transcript.pyannote[225].end 4030.59096875
transcript.pyannote[226].speaker SPEAKER_28
transcript.pyannote[226].start 4031.23221875
transcript.pyannote[226].end 4032.31221875
transcript.pyannote[227].speaker SPEAKER_05
transcript.pyannote[227].start 4033.64534375
transcript.pyannote[227].end 4033.96596875
transcript.pyannote[228].speaker SPEAKER_26
transcript.pyannote[228].start 4033.96596875
transcript.pyannote[228].end 4034.32034375
transcript.pyannote[229].speaker SPEAKER_05
transcript.pyannote[229].start 4034.74221875
transcript.pyannote[229].end 4034.77596875
transcript.pyannote[230].speaker SPEAKER_26
transcript.pyannote[230].start 4034.77596875
transcript.pyannote[230].end 4036.91909375
transcript.pyannote[231].speaker SPEAKER_26
transcript.pyannote[231].start 4037.57721875
transcript.pyannote[231].end 4040.53034375
transcript.pyannote[232].speaker SPEAKER_15
transcript.pyannote[232].start 4049.01846875
transcript.pyannote[232].end 4051.60034375
transcript.pyannote[233].speaker SPEAKER_26
transcript.pyannote[233].start 4051.97159375
transcript.pyannote[233].end 4053.11909375
transcript.pyannote[234].speaker SPEAKER_13
transcript.pyannote[234].start 4062.11346875
transcript.pyannote[234].end 4063.05846875
transcript.pyannote[235].speaker SPEAKER_05
transcript.pyannote[235].start 4063.05846875
transcript.pyannote[235].end 4063.31159375
transcript.pyannote[236].speaker SPEAKER_13
transcript.pyannote[236].start 4063.31159375
transcript.pyannote[236].end 4064.96534375
transcript.pyannote[237].speaker SPEAKER_05
transcript.pyannote[237].start 4064.96534375
transcript.pyannote[237].end 4071.56346875
transcript.pyannote[238].speaker SPEAKER_05
transcript.pyannote[238].start 4072.23846875
transcript.pyannote[238].end 4073.97659375
transcript.pyannote[239].speaker SPEAKER_22
transcript.pyannote[239].start 4073.97659375
transcript.pyannote[239].end 4118.81346875
transcript.pyannote[240].speaker SPEAKER_05
transcript.pyannote[240].start 4118.81346875
transcript.pyannote[240].end 4118.83034375
transcript.pyannote[241].speaker SPEAKER_05
transcript.pyannote[241].start 4119.74159375
transcript.pyannote[241].end 4125.44534375
transcript.pyannote[242].speaker SPEAKER_05
transcript.pyannote[242].start 4125.81659375
transcript.pyannote[242].end 4132.65096875
transcript.pyannote[243].speaker SPEAKER_22
transcript.pyannote[243].start 4132.26284375
transcript.pyannote[243].end 4135.40159375
transcript.pyannote[244].speaker SPEAKER_05
transcript.pyannote[244].start 4135.26659375
transcript.pyannote[244].end 4135.35096875
transcript.pyannote[245].speaker SPEAKER_05
transcript.pyannote[245].start 4135.40159375
transcript.pyannote[245].end 4135.43534375
transcript.pyannote[246].speaker SPEAKER_22
transcript.pyannote[246].start 4135.43534375
transcript.pyannote[246].end 4149.96471875
transcript.pyannote[247].speaker SPEAKER_07
transcript.pyannote[247].start 4149.96471875
transcript.pyannote[247].end 4151.31471875
transcript.pyannote[248].speaker SPEAKER_05
transcript.pyannote[248].start 4151.31471875
transcript.pyannote[248].end 4151.33159375
transcript.pyannote[249].speaker SPEAKER_05
transcript.pyannote[249].start 4152.83346875
transcript.pyannote[249].end 4163.07659375
transcript.pyannote[250].speaker SPEAKER_07
transcript.pyannote[250].start 4155.97221875
transcript.pyannote[250].end 4156.81596875
transcript.pyannote[251].speaker SPEAKER_07
transcript.pyannote[251].start 4161.86159375
transcript.pyannote[251].end 4170.63659375
transcript.pyannote[252].speaker SPEAKER_05
transcript.pyannote[252].start 4163.24534375
transcript.pyannote[252].end 4164.49409375
transcript.pyannote[253].speaker SPEAKER_22
transcript.pyannote[253].start 4169.37096875
transcript.pyannote[253].end 4169.96159375
transcript.pyannote[254].speaker SPEAKER_22
transcript.pyannote[254].start 4170.63659375
transcript.pyannote[254].end 4255.60221875
transcript.pyannote[255].speaker SPEAKER_07
transcript.pyannote[255].start 4170.65346875
transcript.pyannote[255].end 4171.90221875
transcript.pyannote[256].speaker SPEAKER_05
transcript.pyannote[256].start 4257.39096875
transcript.pyannote[256].end 4272.10596875
transcript.pyannote[257].speaker SPEAKER_22
transcript.pyannote[257].start 4272.05534375
transcript.pyannote[257].end 4295.02221875
transcript.pyannote[258].speaker SPEAKER_05
transcript.pyannote[258].start 4296.00096875
transcript.pyannote[258].end 4296.82784375
transcript.pyannote[259].speaker SPEAKER_22
transcript.pyannote[259].start 4296.54096875
transcript.pyannote[259].end 4362.52221875
transcript.pyannote[260].speaker SPEAKER_26
transcript.pyannote[260].start 4364.07471875
transcript.pyannote[260].end 4365.12096875
transcript.pyannote[261].speaker SPEAKER_22
transcript.pyannote[261].start 4365.84659375
transcript.pyannote[261].end 4456.85346875
transcript.pyannote[262].speaker SPEAKER_05
transcript.pyannote[262].start 4459.18221875
transcript.pyannote[262].end 4463.67096875
transcript.pyannote[263].speaker SPEAKER_13
transcript.pyannote[263].start 4460.12721875
transcript.pyannote[263].end 4460.54909375
transcript.pyannote[264].speaker SPEAKER_13
transcript.pyannote[264].start 4463.11409375
transcript.pyannote[264].end 4464.64971875
transcript.pyannote[265].speaker SPEAKER_05
transcript.pyannote[265].start 4464.86909375
transcript.pyannote[265].end 4468.12596875
transcript.pyannote[266].speaker SPEAKER_13
transcript.pyannote[266].start 4465.07159375
transcript.pyannote[266].end 4465.37534375
transcript.pyannote[267].speaker SPEAKER_13
transcript.pyannote[267].start 4467.68721875
transcript.pyannote[267].end 4468.09221875
transcript.pyannote[268].speaker SPEAKER_13
transcript.pyannote[268].start 4468.12596875
transcript.pyannote[268].end 4469.39159375
transcript.pyannote[269].speaker SPEAKER_05
transcript.pyannote[269].start 4469.03721875
transcript.pyannote[269].end 4469.39159375
transcript.pyannote[270].speaker SPEAKER_22
transcript.pyannote[270].start 4469.39159375
transcript.pyannote[270].end 4474.36971875
transcript.pyannote[271].speaker SPEAKER_05
transcript.pyannote[271].start 4470.72471875
transcript.pyannote[271].end 4488.34221875
transcript.pyannote[272].speaker SPEAKER_22
transcript.pyannote[272].start 4486.11471875
transcript.pyannote[272].end 4504.15409375
transcript.pyannote[273].speaker SPEAKER_05
transcript.pyannote[273].start 4489.28721875
transcript.pyannote[273].end 4489.55721875
transcript.pyannote[274].speaker SPEAKER_13
transcript.pyannote[274].start 4502.01096875
transcript.pyannote[274].end 4502.04471875
transcript.pyannote[275].speaker SPEAKER_05
transcript.pyannote[275].start 4502.04471875
transcript.pyannote[275].end 4503.04034375
transcript.pyannote[276].speaker SPEAKER_05
transcript.pyannote[276].start 4503.31034375
transcript.pyannote[276].end 4504.17096875
transcript.pyannote[277].speaker SPEAKER_22
transcript.pyannote[277].start 4504.17096875
transcript.pyannote[277].end 4504.62659375
transcript.pyannote[278].speaker SPEAKER_05
transcript.pyannote[278].start 4504.62659375
transcript.pyannote[278].end 4509.79034375
transcript.pyannote[279].speaker SPEAKER_22
transcript.pyannote[279].start 4508.79471875
transcript.pyannote[279].end 4513.33409375
transcript.pyannote[280].speaker SPEAKER_22
transcript.pyannote[280].start 4514.27909375
transcript.pyannote[280].end 4522.90221875
transcript.pyannote[281].speaker SPEAKER_09
transcript.pyannote[281].start 4523.40846875
transcript.pyannote[281].end 4532.99346875
transcript.pyannote[282].speaker SPEAKER_22
transcript.pyannote[282].start 4532.99346875
transcript.pyannote[282].end 4538.74784375
transcript.pyannote[283].speaker SPEAKER_09
transcript.pyannote[283].start 4539.03471875
transcript.pyannote[283].end 4541.48159375
transcript.pyannote[284].speaker SPEAKER_22
transcript.pyannote[284].start 4541.05971875
transcript.pyannote[284].end 4542.15659375
transcript.pyannote[285].speaker SPEAKER_09
transcript.pyannote[285].start 4543.43909375
transcript.pyannote[285].end 4545.48096875
transcript.pyannote[286].speaker SPEAKER_22
transcript.pyannote[286].start 4544.78909375
transcript.pyannote[286].end 4545.95346875
transcript.pyannote[287].speaker SPEAKER_09
transcript.pyannote[287].start 4546.54409375
transcript.pyannote[287].end 4547.52284375
transcript.pyannote[288].speaker SPEAKER_22
transcript.pyannote[288].start 4547.92784375
transcript.pyannote[288].end 4597.45596875
transcript.pyannote[289].speaker SPEAKER_27
transcript.pyannote[289].start 4597.65846875
transcript.pyannote[289].end 4598.02971875
transcript.pyannote[290].speaker SPEAKER_22
transcript.pyannote[290].start 4598.11409375
transcript.pyannote[290].end 4598.89034375
transcript.pyannote[291].speaker SPEAKER_26
transcript.pyannote[291].start 4603.00784375
transcript.pyannote[291].end 4605.23534375
transcript.pyannote[292].speaker SPEAKER_26
transcript.pyannote[292].start 4605.58971875
transcript.pyannote[292].end 4608.71159375
transcript.pyannote[293].speaker SPEAKER_10
transcript.pyannote[293].start 4621.45221875
transcript.pyannote[293].end 4624.35471875
transcript.pyannote[294].speaker SPEAKER_10
transcript.pyannote[294].start 4631.98221875
transcript.pyannote[294].end 4632.65721875
transcript.pyannote[295].speaker SPEAKER_10
transcript.pyannote[295].start 4633.12971875
transcript.pyannote[295].end 4667.26784375
transcript.pyannote[296].speaker SPEAKER_10
transcript.pyannote[296].start 4667.31846875
transcript.pyannote[296].end 4667.45346875
transcript.pyannote[297].speaker SPEAKER_05
transcript.pyannote[297].start 4667.45346875
transcript.pyannote[297].end 4667.92596875
transcript.pyannote[298].speaker SPEAKER_10
transcript.pyannote[298].start 4668.63471875
transcript.pyannote[298].end 4668.65159375
transcript.pyannote[299].speaker SPEAKER_05
transcript.pyannote[299].start 4668.65159375
transcript.pyannote[299].end 4681.66221875
transcript.pyannote[300].speaker SPEAKER_10
transcript.pyannote[300].start 4681.15596875
transcript.pyannote[300].end 4681.37534375
transcript.pyannote[301].speaker SPEAKER_05
transcript.pyannote[301].start 4681.67909375
transcript.pyannote[301].end 4684.04159375
transcript.pyannote[302].speaker SPEAKER_05
transcript.pyannote[302].start 4684.34534375
transcript.pyannote[302].end 4697.94659375
transcript.pyannote[303].speaker SPEAKER_10
transcript.pyannote[303].start 4684.83471875
transcript.pyannote[303].end 4688.04096875
transcript.pyannote[304].speaker SPEAKER_10
transcript.pyannote[304].start 4696.20846875
transcript.pyannote[304].end 4696.83284375
transcript.pyannote[305].speaker SPEAKER_10
transcript.pyannote[305].start 4697.94659375
transcript.pyannote[305].end 4698.13221875
transcript.pyannote[306].speaker SPEAKER_05
transcript.pyannote[306].start 4698.13221875
transcript.pyannote[306].end 4701.11909375
transcript.pyannote[307].speaker SPEAKER_10
transcript.pyannote[307].start 4700.54534375
transcript.pyannote[307].end 4708.54409375
transcript.pyannote[308].speaker SPEAKER_05
transcript.pyannote[308].start 4705.18596875
transcript.pyannote[308].end 4706.02971875
transcript.pyannote[309].speaker SPEAKER_08
transcript.pyannote[309].start 4706.02971875
transcript.pyannote[309].end 4708.52721875
transcript.pyannote[310].speaker SPEAKER_08
transcript.pyannote[310].start 4708.54409375
transcript.pyannote[310].end 4708.56096875
transcript.pyannote[311].speaker SPEAKER_10
transcript.pyannote[311].start 4708.56096875
transcript.pyannote[311].end 4708.61159375
transcript.pyannote[312].speaker SPEAKER_08
transcript.pyannote[312].start 4708.61159375
transcript.pyannote[312].end 4708.74659375
transcript.pyannote[313].speaker SPEAKER_10
transcript.pyannote[313].start 4708.74659375
transcript.pyannote[313].end 4708.83096875
transcript.pyannote[314].speaker SPEAKER_10
transcript.pyannote[314].start 4708.84784375
transcript.pyannote[314].end 4731.35909375
transcript.pyannote[315].speaker SPEAKER_05
transcript.pyannote[315].start 4729.89096875
transcript.pyannote[315].end 4734.36284375
transcript.pyannote[316].speaker SPEAKER_05
transcript.pyannote[316].start 4734.46409375
transcript.pyannote[316].end 4744.82534375
transcript.pyannote[317].speaker SPEAKER_10
transcript.pyannote[317].start 4744.75784375
transcript.pyannote[317].end 4758.37596875
transcript.pyannote[318].speaker SPEAKER_05
transcript.pyannote[318].start 4757.51534375
transcript.pyannote[318].end 4771.26846875
transcript.pyannote[319].speaker SPEAKER_10
transcript.pyannote[319].start 4761.95346875
transcript.pyannote[319].end 4764.78846875
transcript.pyannote[320].speaker SPEAKER_10
transcript.pyannote[320].start 4768.38284375
transcript.pyannote[320].end 4768.87221875
transcript.pyannote[321].speaker SPEAKER_10
transcript.pyannote[321].start 4769.63159375
transcript.pyannote[321].end 4770.47534375
transcript.pyannote[322].speaker SPEAKER_10
transcript.pyannote[322].start 4770.82971875
transcript.pyannote[322].end 4770.89721875
transcript.pyannote[323].speaker SPEAKER_10
transcript.pyannote[323].start 4771.18409375
transcript.pyannote[323].end 4802.62221875
transcript.pyannote[324].speaker SPEAKER_10
transcript.pyannote[324].start 4803.22971875
transcript.pyannote[324].end 4804.02284375
transcript.pyannote[325].speaker SPEAKER_05
transcript.pyannote[325].start 4804.02284375
transcript.pyannote[325].end 4804.05659375
transcript.pyannote[326].speaker SPEAKER_10
transcript.pyannote[326].start 4804.05659375
transcript.pyannote[326].end 4804.29284375
transcript.pyannote[327].speaker SPEAKER_05
transcript.pyannote[327].start 4804.29284375
transcript.pyannote[327].end 4804.52909375
transcript.pyannote[328].speaker SPEAKER_10
transcript.pyannote[328].start 4804.52909375
transcript.pyannote[328].end 4804.59659375
transcript.pyannote[329].speaker SPEAKER_05
transcript.pyannote[329].start 4804.59659375
transcript.pyannote[329].end 4805.55846875
transcript.pyannote[330].speaker SPEAKER_10
transcript.pyannote[330].start 4805.55846875
transcript.pyannote[330].end 4811.58284375
transcript.pyannote[331].speaker SPEAKER_05
transcript.pyannote[331].start 4809.62534375
transcript.pyannote[331].end 4814.28284375
transcript.pyannote[332].speaker SPEAKER_10
transcript.pyannote[332].start 4812.86534375
transcript.pyannote[332].end 4818.06284375
transcript.pyannote[333].speaker SPEAKER_05
transcript.pyannote[333].start 4816.15596875
transcript.pyannote[333].end 4818.04596875
transcript.pyannote[334].speaker SPEAKER_05
transcript.pyannote[334].start 4818.06284375
transcript.pyannote[334].end 4818.43409375
transcript.pyannote[335].speaker SPEAKER_10
transcript.pyannote[335].start 4818.43409375
transcript.pyannote[335].end 4818.46784375
transcript.pyannote[336].speaker SPEAKER_05
transcript.pyannote[336].start 4818.46784375
transcript.pyannote[336].end 4818.97409375
transcript.pyannote[337].speaker SPEAKER_10
transcript.pyannote[337].start 4818.97409375
transcript.pyannote[337].end 4824.89721875
transcript.pyannote[338].speaker SPEAKER_05
transcript.pyannote[338].start 4819.44659375
transcript.pyannote[338].end 4819.71659375
transcript.pyannote[339].speaker SPEAKER_10
transcript.pyannote[339].start 4825.45409375
transcript.pyannote[339].end 4872.29909375
transcript.pyannote[340].speaker SPEAKER_27
transcript.pyannote[340].start 4862.05596875
transcript.pyannote[340].end 4862.73096875
transcript.pyannote[341].speaker SPEAKER_05
transcript.pyannote[341].start 4870.24034375
transcript.pyannote[341].end 4880.09534375
transcript.pyannote[342].speaker SPEAKER_10
transcript.pyannote[342].start 4878.96471875
transcript.pyannote[342].end 4881.81659375
transcript.pyannote[343].speaker SPEAKER_05
transcript.pyannote[343].start 4880.85471875
transcript.pyannote[343].end 4883.30159375
transcript.pyannote[344].speaker SPEAKER_05
transcript.pyannote[344].start 4883.48721875
transcript.pyannote[344].end 4900.78409375
transcript.pyannote[345].speaker SPEAKER_10
transcript.pyannote[345].start 4900.68284375
transcript.pyannote[345].end 4904.39534375
transcript.pyannote[346].speaker SPEAKER_05
transcript.pyannote[346].start 4904.95221875
transcript.pyannote[346].end 4905.13784375
transcript.pyannote[347].speaker SPEAKER_05
transcript.pyannote[347].start 4905.35721875
transcript.pyannote[347].end 4905.37409375
transcript.pyannote[348].speaker SPEAKER_10
transcript.pyannote[348].start 4905.37409375
transcript.pyannote[348].end 4905.99846875
transcript.pyannote[349].speaker SPEAKER_05
transcript.pyannote[349].start 4905.47534375
transcript.pyannote[349].end 4905.84659375
transcript.pyannote[350].speaker SPEAKER_05
transcript.pyannote[350].start 4905.99846875
transcript.pyannote[350].end 4906.09971875
transcript.pyannote[351].speaker SPEAKER_10
transcript.pyannote[351].start 4906.09971875
transcript.pyannote[351].end 4906.15034375
transcript.pyannote[352].speaker SPEAKER_05
transcript.pyannote[352].start 4906.15034375
transcript.pyannote[352].end 4912.02284375
transcript.pyannote[353].speaker SPEAKER_10
transcript.pyannote[353].start 4912.02284375
transcript.pyannote[353].end 4912.07346875
transcript.pyannote[354].speaker SPEAKER_05
transcript.pyannote[354].start 4912.07346875
transcript.pyannote[354].end 4912.73159375
transcript.pyannote[355].speaker SPEAKER_05
transcript.pyannote[355].start 4913.91284375
transcript.pyannote[355].end 4916.71409375
transcript.pyannote[356].speaker SPEAKER_10
transcript.pyannote[356].start 4913.98034375
transcript.pyannote[356].end 4915.46534375
transcript.pyannote[357].speaker SPEAKER_10
transcript.pyannote[357].start 4916.22471875
transcript.pyannote[357].end 4916.68034375
transcript.pyannote[358].speaker SPEAKER_10
transcript.pyannote[358].start 4916.71409375
transcript.pyannote[358].end 4916.81534375
transcript.pyannote[359].speaker SPEAKER_05
transcript.pyannote[359].start 4916.81534375
transcript.pyannote[359].end 4916.88284375
transcript.pyannote[360].speaker SPEAKER_10
transcript.pyannote[360].start 4916.88284375
transcript.pyannote[360].end 4916.96721875
transcript.pyannote[361].speaker SPEAKER_05
transcript.pyannote[361].start 4916.96721875
transcript.pyannote[361].end 4917.03471875
transcript.pyannote[362].speaker SPEAKER_10
transcript.pyannote[362].start 4917.03471875
transcript.pyannote[362].end 4917.16971875
transcript.pyannote[363].speaker SPEAKER_05
transcript.pyannote[363].start 4917.16971875
transcript.pyannote[363].end 4917.28784375
transcript.pyannote[364].speaker SPEAKER_10
transcript.pyannote[364].start 4917.28784375
transcript.pyannote[364].end 4918.62096875
transcript.pyannote[365].speaker SPEAKER_05
transcript.pyannote[365].start 4917.43971875
transcript.pyannote[365].end 4920.02159375
transcript.pyannote[366].speaker SPEAKER_10
transcript.pyannote[366].start 4920.25784375
transcript.pyannote[366].end 4920.27471875
transcript.pyannote[367].speaker SPEAKER_05
transcript.pyannote[367].start 4920.27471875
transcript.pyannote[367].end 4921.47284375
transcript.pyannote[368].speaker SPEAKER_10
transcript.pyannote[368].start 4920.88221875
transcript.pyannote[368].end 4921.48971875
transcript.pyannote[369].speaker SPEAKER_05
transcript.pyannote[369].start 4921.48971875
transcript.pyannote[369].end 4921.96221875
transcript.pyannote[370].speaker SPEAKER_10
transcript.pyannote[370].start 4921.96221875
transcript.pyannote[370].end 4922.01284375
transcript.pyannote[371].speaker SPEAKER_05
transcript.pyannote[371].start 4922.01284375
transcript.pyannote[371].end 4922.09721875
transcript.pyannote[372].speaker SPEAKER_10
transcript.pyannote[372].start 4922.09721875
transcript.pyannote[372].end 4935.66471875
transcript.pyannote[373].speaker SPEAKER_05
transcript.pyannote[373].start 4922.33346875
transcript.pyannote[373].end 4923.32909375
transcript.pyannote[374].speaker SPEAKER_05
transcript.pyannote[374].start 4925.47221875
transcript.pyannote[374].end 4925.94471875
transcript.pyannote[375].speaker SPEAKER_10
transcript.pyannote[375].start 4936.06971875
transcript.pyannote[375].end 4942.29659375
transcript.pyannote[376].speaker SPEAKER_00
transcript.pyannote[376].start 4936.08659375
transcript.pyannote[376].end 4941.33471875
transcript.pyannote[377].speaker SPEAKER_10
transcript.pyannote[377].start 4943.24159375
transcript.pyannote[377].end 4946.26221875
transcript.pyannote[378].speaker SPEAKER_10
transcript.pyannote[378].start 4947.79784375
transcript.pyannote[378].end 4949.19846875
transcript.pyannote[379].speaker SPEAKER_05
transcript.pyannote[379].start 4949.19846875
transcript.pyannote[379].end 4949.23221875
transcript.pyannote[380].speaker SPEAKER_05
transcript.pyannote[380].start 4951.25721875
transcript.pyannote[380].end 4951.93221875
transcript.pyannote[381].speaker SPEAKER_05
transcript.pyannote[381].start 4953.77159375
transcript.pyannote[381].end 4954.61534375
transcript.pyannote[382].speaker SPEAKER_05
transcript.pyannote[382].start 4956.33659375
transcript.pyannote[382].end 4957.72034375
transcript.pyannote[383].speaker SPEAKER_05
transcript.pyannote[383].start 4958.09159375
transcript.pyannote[383].end 4959.40784375
transcript.pyannote[384].speaker SPEAKER_05
transcript.pyannote[384].start 4959.84659375
transcript.pyannote[384].end 4960.47096875
transcript.pyannote[385].speaker SPEAKER_05
transcript.pyannote[385].start 4960.79159375
transcript.pyannote[385].end 4961.75346875
transcript.pyannote[386].speaker SPEAKER_05
transcript.pyannote[386].start 4962.74909375
transcript.pyannote[386].end 4964.77409375
transcript.pyannote[387].speaker SPEAKER_05
transcript.pyannote[387].start 4965.83721875
transcript.pyannote[387].end 4967.01846875
transcript.pyannote[388].speaker SPEAKER_05
transcript.pyannote[388].start 4968.06471875
transcript.pyannote[388].end 4969.54971875
transcript.pyannote[389].speaker SPEAKER_10
transcript.pyannote[389].start 4969.54971875
transcript.pyannote[389].end 4969.60034375
transcript.pyannote[390].speaker SPEAKER_10
transcript.pyannote[390].start 4970.15721875
transcript.pyannote[390].end 4970.17409375
transcript.pyannote[391].speaker SPEAKER_05
transcript.pyannote[391].start 4970.17409375
transcript.pyannote[391].end 4970.96721875
transcript.pyannote[392].speaker SPEAKER_10
transcript.pyannote[392].start 4970.96721875
transcript.pyannote[392].end 4999.04721875
transcript.pyannote[393].speaker SPEAKER_05
transcript.pyannote[393].start 4999.04721875
transcript.pyannote[393].end 4999.11471875
transcript.pyannote[394].speaker SPEAKER_10
transcript.pyannote[394].start 4999.11471875
transcript.pyannote[394].end 4999.38471875
transcript.pyannote[395].speaker SPEAKER_05
transcript.pyannote[395].start 4999.38471875
transcript.pyannote[395].end 4999.41846875
transcript.pyannote[396].speaker SPEAKER_10
transcript.pyannote[396].start 4999.67159375
transcript.pyannote[396].end 5000.16096875
transcript.pyannote[397].speaker SPEAKER_05
transcript.pyannote[397].start 5000.16096875
transcript.pyannote[397].end 5000.24534375
transcript.pyannote[398].speaker SPEAKER_10
transcript.pyannote[398].start 5000.24534375
transcript.pyannote[398].end 5000.54909375
transcript.pyannote[399].speaker SPEAKER_05
transcript.pyannote[399].start 5000.54909375
transcript.pyannote[399].end 5000.56596875
transcript.pyannote[400].speaker SPEAKER_10
transcript.pyannote[400].start 5000.56596875
transcript.pyannote[400].end 5000.58284375
transcript.pyannote[401].speaker SPEAKER_05
transcript.pyannote[401].start 5000.58284375
transcript.pyannote[401].end 5000.65034375
transcript.pyannote[402].speaker SPEAKER_10
transcript.pyannote[402].start 5000.65034375
transcript.pyannote[402].end 5001.91596875
transcript.pyannote[403].speaker SPEAKER_05
transcript.pyannote[403].start 5000.70096875
transcript.pyannote[403].end 5008.49721875
transcript.pyannote[404].speaker SPEAKER_10
transcript.pyannote[404].start 5008.73346875
transcript.pyannote[404].end 5051.78159375
transcript.pyannote[405].speaker SPEAKER_05
transcript.pyannote[405].start 5050.36409375
transcript.pyannote[405].end 5050.80284375
transcript.pyannote[406].speaker SPEAKER_05
transcript.pyannote[406].start 5051.00534375
transcript.pyannote[406].end 5055.46034375
transcript.pyannote[407].speaker SPEAKER_05
transcript.pyannote[407].start 5055.83159375
transcript.pyannote[407].end 5058.48096875
transcript.pyannote[408].speaker SPEAKER_10
transcript.pyannote[408].start 5056.20284375
transcript.pyannote[408].end 5057.26596875
transcript.pyannote[409].speaker SPEAKER_05
transcript.pyannote[409].start 5058.73409375
transcript.pyannote[409].end 5065.83846875
transcript.pyannote[410].speaker SPEAKER_10
transcript.pyannote[410].start 5065.24784375
transcript.pyannote[410].end 5065.75409375
transcript.pyannote[411].speaker SPEAKER_10
transcript.pyannote[411].start 5065.83846875
transcript.pyannote[411].end 5066.49659375
transcript.pyannote[412].speaker SPEAKER_05
transcript.pyannote[412].start 5066.49659375
transcript.pyannote[412].end 5075.55846875
transcript.pyannote[413].speaker SPEAKER_10
transcript.pyannote[413].start 5069.14596875
transcript.pyannote[413].end 5069.58471875
transcript.pyannote[414].speaker SPEAKER_10
transcript.pyannote[414].start 5070.47909375
transcript.pyannote[414].end 5071.10346875
transcript.pyannote[415].speaker SPEAKER_10
transcript.pyannote[415].start 5075.10284375
transcript.pyannote[415].end 5120.09159375
transcript.pyannote[416].speaker SPEAKER_10
transcript.pyannote[416].start 5120.20971875
transcript.pyannote[416].end 5123.02784375
transcript.pyannote[417].speaker SPEAKER_05
transcript.pyannote[417].start 5123.02784375
transcript.pyannote[417].end 5128.63034375
transcript.pyannote[418].speaker SPEAKER_05
transcript.pyannote[418].start 5128.71471875
transcript.pyannote[418].end 5129.25471875
transcript.pyannote[419].speaker SPEAKER_05
transcript.pyannote[419].start 5129.79471875
transcript.pyannote[419].end 5131.97159375
transcript.pyannote[420].speaker SPEAKER_10
transcript.pyannote[420].start 5130.58784375
transcript.pyannote[420].end 5131.56659375
transcript.pyannote[421].speaker SPEAKER_10
transcript.pyannote[421].start 5131.97159375
transcript.pyannote[421].end 5163.27471875
transcript.pyannote[422].speaker SPEAKER_10
transcript.pyannote[422].start 5163.69659375
transcript.pyannote[422].end 5172.74159375
transcript.pyannote[423].speaker SPEAKER_10
transcript.pyannote[423].start 5173.24784375
transcript.pyannote[423].end 5174.02409375
transcript.pyannote[424].speaker SPEAKER_05
transcript.pyannote[424].start 5174.02409375
transcript.pyannote[424].end 5174.27721875
transcript.pyannote[425].speaker SPEAKER_10
transcript.pyannote[425].start 5174.27721875
transcript.pyannote[425].end 5174.29409375
transcript.pyannote[426].speaker SPEAKER_05
transcript.pyannote[426].start 5174.29409375
transcript.pyannote[426].end 5174.32784375
transcript.pyannote[427].speaker SPEAKER_05
transcript.pyannote[427].start 5174.63159375
transcript.pyannote[427].end 5174.64846875
transcript.pyannote[428].speaker SPEAKER_10
transcript.pyannote[428].start 5174.64846875
transcript.pyannote[428].end 5174.69909375
transcript.pyannote[429].speaker SPEAKER_05
transcript.pyannote[429].start 5174.69909375
transcript.pyannote[429].end 5174.74971875
transcript.pyannote[430].speaker SPEAKER_10
transcript.pyannote[430].start 5174.74971875
transcript.pyannote[430].end 5174.96909375
transcript.pyannote[431].speaker SPEAKER_05
transcript.pyannote[431].start 5174.96909375
transcript.pyannote[431].end 5175.00284375
transcript.pyannote[432].speaker SPEAKER_10
transcript.pyannote[432].start 5175.00284375
transcript.pyannote[432].end 5175.57659375
transcript.pyannote[433].speaker SPEAKER_05
transcript.pyannote[433].start 5175.03659375
transcript.pyannote[433].end 5175.49221875
transcript.pyannote[434].speaker SPEAKER_05
transcript.pyannote[434].start 5175.57659375
transcript.pyannote[434].end 5175.62721875
transcript.pyannote[435].speaker SPEAKER_05
transcript.pyannote[435].start 5176.60596875
transcript.pyannote[435].end 5180.30159375
transcript.pyannote[436].speaker SPEAKER_10
transcript.pyannote[436].start 5179.98096875
transcript.pyannote[436].end 5180.01471875
transcript.pyannote[437].speaker SPEAKER_10
transcript.pyannote[437].start 5180.03159375
transcript.pyannote[437].end 5180.26784375
transcript.pyannote[438].speaker SPEAKER_10
transcript.pyannote[438].start 5180.30159375
transcript.pyannote[438].end 5180.70659375
transcript.pyannote[439].speaker SPEAKER_05
transcript.pyannote[439].start 5180.70659375
transcript.pyannote[439].end 5183.22096875
transcript.pyannote[440].speaker SPEAKER_10
transcript.pyannote[440].start 5180.72346875
transcript.pyannote[440].end 5180.74034375
transcript.pyannote[441].speaker SPEAKER_10
transcript.pyannote[441].start 5181.02721875
transcript.pyannote[441].end 5184.23346875
transcript.pyannote[442].speaker SPEAKER_05
transcript.pyannote[442].start 5183.55846875
transcript.pyannote[442].end 5195.53971875
transcript.pyannote[443].speaker SPEAKER_10
transcript.pyannote[443].start 5184.62159375
transcript.pyannote[443].end 5185.90409375
transcript.pyannote[444].speaker SPEAKER_10
transcript.pyannote[444].start 5189.22846875
transcript.pyannote[444].end 5191.60784375
transcript.pyannote[445].speaker SPEAKER_06
transcript.pyannote[445].start 5193.14346875
transcript.pyannote[445].end 5193.16034375
transcript.pyannote[446].speaker SPEAKER_10
transcript.pyannote[446].start 5193.16034375
transcript.pyannote[446].end 5193.68346875
transcript.pyannote[447].speaker SPEAKER_06
transcript.pyannote[447].start 5194.13909375
transcript.pyannote[447].end 5194.24034375
transcript.pyannote[448].speaker SPEAKER_10
transcript.pyannote[448].start 5194.24034375
transcript.pyannote[448].end 5194.69596875
transcript.pyannote[449].speaker SPEAKER_06
transcript.pyannote[449].start 5194.69596875
transcript.pyannote[449].end 5194.74659375
transcript.pyannote[450].speaker SPEAKER_05
transcript.pyannote[450].start 5195.82659375
transcript.pyannote[450].end 5206.01909375
transcript.pyannote[451].speaker SPEAKER_05
transcript.pyannote[451].start 5206.69409375
transcript.pyannote[451].end 5210.81159375
transcript.pyannote[452].speaker SPEAKER_05
transcript.pyannote[452].start 5212.75221875
transcript.pyannote[452].end 5213.61284375
transcript.pyannote[453].speaker SPEAKER_05
transcript.pyannote[453].start 5214.08534375
transcript.pyannote[453].end 5214.97971875
transcript.pyannote[454].speaker SPEAKER_05
transcript.pyannote[454].start 5215.51971875
transcript.pyannote[454].end 5216.97096875
transcript.pyannote[455].speaker SPEAKER_05
transcript.pyannote[455].start 5217.30846875
transcript.pyannote[455].end 5219.97471875
transcript.pyannote[456].speaker SPEAKER_10
transcript.pyannote[456].start 5219.97471875
transcript.pyannote[456].end 5253.03284375
transcript.pyannote[457].speaker SPEAKER_10
transcript.pyannote[457].start 5253.35346875
transcript.pyannote[457].end 5271.03846875
transcript.pyannote[458].speaker SPEAKER_05
transcript.pyannote[458].start 5271.03846875
transcript.pyannote[458].end 5271.69659375
transcript.pyannote[459].speaker SPEAKER_10
transcript.pyannote[459].start 5272.21971875
transcript.pyannote[459].end 5272.23659375
transcript.pyannote[460].speaker SPEAKER_05
transcript.pyannote[460].start 5272.23659375
transcript.pyannote[460].end 5288.77409375
transcript.pyannote[461].speaker SPEAKER_10
transcript.pyannote[461].start 5287.76159375
transcript.pyannote[461].end 5299.23659375
transcript.pyannote[462].speaker SPEAKER_05
transcript.pyannote[462].start 5298.69659375
transcript.pyannote[462].end 5313.61409375
transcript.pyannote[463].speaker SPEAKER_10
transcript.pyannote[463].start 5312.44971875
transcript.pyannote[463].end 5312.85471875
transcript.pyannote[464].speaker SPEAKER_10
transcript.pyannote[464].start 5313.52971875
transcript.pyannote[464].end 5313.59721875
transcript.pyannote[465].speaker SPEAKER_10
transcript.pyannote[465].start 5313.61409375
transcript.pyannote[465].end 5324.21159375
transcript.pyannote[466].speaker SPEAKER_05
transcript.pyannote[466].start 5317.88346875
transcript.pyannote[466].end 5318.94659375
transcript.pyannote[467].speaker SPEAKER_26
transcript.pyannote[467].start 5323.87409375
transcript.pyannote[467].end 5323.97534375
transcript.pyannote[468].speaker SPEAKER_26
transcript.pyannote[468].start 5324.21159375
transcript.pyannote[468].end 5324.73471875
transcript.pyannote[469].speaker SPEAKER_26
transcript.pyannote[469].start 5327.21534375
transcript.pyannote[469].end 5328.76784375
transcript.pyannote[470].speaker SPEAKER_26
transcript.pyannote[470].start 5328.86909375
transcript.pyannote[470].end 5329.62846875
transcript.pyannote[471].speaker SPEAKER_26
transcript.pyannote[471].start 5329.93221875
transcript.pyannote[471].end 5330.96159375
transcript.pyannote[472].speaker SPEAKER_26
transcript.pyannote[472].start 5332.22721875
transcript.pyannote[472].end 5333.93159375
transcript.pyannote[473].speaker SPEAKER_26
transcript.pyannote[473].start 5335.38284375
transcript.pyannote[473].end 5338.18409375
transcript.pyannote[474].speaker SPEAKER_26
transcript.pyannote[474].start 5347.63409375
transcript.pyannote[474].end 5350.50284375
transcript.pyannote[475].speaker SPEAKER_07
transcript.pyannote[475].start 5357.50596875
transcript.pyannote[475].end 5357.99534375
transcript.pyannote[476].speaker SPEAKER_07
transcript.pyannote[476].start 5358.34971875
transcript.pyannote[476].end 5370.92159375
transcript.pyannote[477].speaker SPEAKER_07
transcript.pyannote[477].start 5370.97221875
transcript.pyannote[477].end 5373.75659375
transcript.pyannote[478].speaker SPEAKER_07
transcript.pyannote[478].start 5373.99284375
transcript.pyannote[478].end 5390.19284375
transcript.pyannote[479].speaker SPEAKER_07
transcript.pyannote[479].start 5390.73284375
transcript.pyannote[479].end 5400.87471875
transcript.pyannote[480].speaker SPEAKER_07
transcript.pyannote[480].start 5402.22471875
transcript.pyannote[480].end 5402.24159375
transcript.pyannote[481].speaker SPEAKER_05
transcript.pyannote[481].start 5402.24159375
transcript.pyannote[481].end 5403.01784375
transcript.pyannote[482].speaker SPEAKER_05
transcript.pyannote[482].start 5403.33846875
transcript.pyannote[482].end 5404.51971875
transcript.pyannote[483].speaker SPEAKER_05
transcript.pyannote[483].start 5405.21159375
transcript.pyannote[483].end 5405.48159375
transcript.pyannote[484].speaker SPEAKER_27
transcript.pyannote[484].start 5405.93721875
transcript.pyannote[484].end 5406.35909375
transcript.pyannote[485].speaker SPEAKER_05
transcript.pyannote[485].start 5406.86534375
transcript.pyannote[485].end 5407.08471875
transcript.pyannote[486].speaker SPEAKER_05
transcript.pyannote[486].start 5407.94534375
transcript.pyannote[486].end 5418.15471875
transcript.pyannote[487].speaker SPEAKER_07
transcript.pyannote[487].start 5418.62721875
transcript.pyannote[487].end 5422.03596875
transcript.pyannote[488].speaker SPEAKER_05
transcript.pyannote[488].start 5421.32721875
transcript.pyannote[488].end 5421.42846875
transcript.pyannote[489].speaker SPEAKER_05
transcript.pyannote[489].start 5422.03596875
transcript.pyannote[489].end 5423.33534375
transcript.pyannote[490].speaker SPEAKER_05
transcript.pyannote[490].start 5424.29721875
transcript.pyannote[490].end 5425.17471875
transcript.pyannote[491].speaker SPEAKER_07
transcript.pyannote[491].start 5425.17471875
transcript.pyannote[491].end 5427.03096875
transcript.pyannote[492].speaker SPEAKER_05
transcript.pyannote[492].start 5427.03096875
transcript.pyannote[492].end 5433.12284375
transcript.pyannote[493].speaker SPEAKER_07
transcript.pyannote[493].start 5432.26221875
transcript.pyannote[493].end 5444.14221875
transcript.pyannote[494].speaker SPEAKER_07
transcript.pyannote[494].start 5444.53034375
transcript.pyannote[494].end 5445.98159375
transcript.pyannote[495].speaker SPEAKER_07
transcript.pyannote[495].start 5446.33596875
transcript.pyannote[495].end 5447.97284375
transcript.pyannote[496].speaker SPEAKER_07
transcript.pyannote[496].start 5448.09096875
transcript.pyannote[496].end 5465.96159375
transcript.pyannote[497].speaker SPEAKER_07
transcript.pyannote[497].start 5466.09659375
transcript.pyannote[497].end 5473.03221875
transcript.pyannote[498].speaker SPEAKER_05
transcript.pyannote[498].start 5473.03221875
transcript.pyannote[498].end 5473.18409375
transcript.pyannote[499].speaker SPEAKER_07
transcript.pyannote[499].start 5473.18409375
transcript.pyannote[499].end 5473.30221875
transcript.pyannote[500].speaker SPEAKER_05
transcript.pyannote[500].start 5473.30221875
transcript.pyannote[500].end 5498.96909375
transcript.pyannote[501].speaker SPEAKER_07
transcript.pyannote[501].start 5498.26034375
transcript.pyannote[501].end 5503.98096875
transcript.pyannote[502].speaker SPEAKER_05
transcript.pyannote[502].start 5499.67784375
transcript.pyannote[502].end 5505.92159375
transcript.pyannote[503].speaker SPEAKER_07
transcript.pyannote[503].start 5504.28471875
transcript.pyannote[503].end 5504.45346875
transcript.pyannote[504].speaker SPEAKER_07
transcript.pyannote[504].start 5505.75284375
transcript.pyannote[504].end 5509.92096875
transcript.pyannote[505].speaker SPEAKER_05
transcript.pyannote[505].start 5511.55784375
transcript.pyannote[505].end 5511.59159375
transcript.pyannote[506].speaker SPEAKER_07
transcript.pyannote[506].start 5511.59159375
transcript.pyannote[506].end 5511.60846875
transcript.pyannote[507].speaker SPEAKER_05
transcript.pyannote[507].start 5511.60846875
transcript.pyannote[507].end 5511.77721875
transcript.pyannote[508].speaker SPEAKER_07
transcript.pyannote[508].start 5511.77721875
transcript.pyannote[508].end 5512.04721875
transcript.pyannote[509].speaker SPEAKER_05
transcript.pyannote[509].start 5512.04721875
transcript.pyannote[509].end 5512.53659375
transcript.pyannote[510].speaker SPEAKER_07
transcript.pyannote[510].start 5512.53659375
transcript.pyannote[510].end 5523.16784375
transcript.pyannote[511].speaker SPEAKER_07
transcript.pyannote[511].start 5524.12971875
transcript.pyannote[511].end 5533.37721875
transcript.pyannote[512].speaker SPEAKER_07
transcript.pyannote[512].start 5534.54159375
transcript.pyannote[512].end 5535.97596875
transcript.pyannote[513].speaker SPEAKER_07
transcript.pyannote[513].start 5536.41471875
transcript.pyannote[513].end 5561.65971875
transcript.pyannote[514].speaker SPEAKER_07
transcript.pyannote[514].start 5562.08159375
transcript.pyannote[514].end 5562.50346875
transcript.pyannote[515].speaker SPEAKER_07
transcript.pyannote[515].start 5563.02659375
transcript.pyannote[515].end 5569.23659375
transcript.pyannote[516].speaker SPEAKER_07
transcript.pyannote[516].start 5569.30409375
transcript.pyannote[516].end 5572.03784375
transcript.pyannote[517].speaker SPEAKER_07
transcript.pyannote[517].start 5572.32471875
transcript.pyannote[517].end 5579.98596875
transcript.pyannote[518].speaker SPEAKER_05
transcript.pyannote[518].start 5580.13784375
transcript.pyannote[518].end 5580.39096875
transcript.pyannote[519].speaker SPEAKER_05
transcript.pyannote[519].start 5580.67784375
transcript.pyannote[519].end 5585.14971875
transcript.pyannote[520].speaker SPEAKER_05
transcript.pyannote[520].start 5585.65596875
transcript.pyannote[520].end 5585.70659375
transcript.pyannote[521].speaker SPEAKER_18
transcript.pyannote[521].start 5587.64721875
transcript.pyannote[521].end 5620.01346875
transcript.pyannote[522].speaker SPEAKER_08
transcript.pyannote[522].start 5602.12596875
transcript.pyannote[522].end 5603.47596875
transcript.pyannote[523].speaker SPEAKER_07
transcript.pyannote[523].start 5618.02221875
transcript.pyannote[523].end 5619.96284375
transcript.pyannote[524].speaker SPEAKER_07
transcript.pyannote[524].start 5620.01346875
transcript.pyannote[524].end 5622.57846875
transcript.pyannote[525].speaker SPEAKER_18
transcript.pyannote[525].start 5620.38471875
transcript.pyannote[525].end 5626.29096875
transcript.pyannote[526].speaker SPEAKER_07
transcript.pyannote[526].start 5625.49784375
transcript.pyannote[526].end 5641.46159375
transcript.pyannote[527].speaker SPEAKER_18
transcript.pyannote[527].start 5630.32409375
transcript.pyannote[527].end 5630.84721875
transcript.pyannote[528].speaker SPEAKER_05
transcript.pyannote[528].start 5643.03096875
transcript.pyannote[528].end 5649.78096875
transcript.pyannote[529].speaker SPEAKER_05
transcript.pyannote[529].start 5649.84846875
transcript.pyannote[529].end 5649.86534375
transcript.pyannote[530].speaker SPEAKER_07
transcript.pyannote[530].start 5649.86534375
transcript.pyannote[530].end 5650.81034375
transcript.pyannote[531].speaker SPEAKER_05
transcript.pyannote[531].start 5650.15221875
transcript.pyannote[531].end 5650.84409375
transcript.pyannote[532].speaker SPEAKER_07
transcript.pyannote[532].start 5650.84409375
transcript.pyannote[532].end 5655.60284375
transcript.pyannote[533].speaker SPEAKER_05
transcript.pyannote[533].start 5655.60284375
transcript.pyannote[533].end 5655.83909375
transcript.pyannote[534].speaker SPEAKER_07
transcript.pyannote[534].start 5655.83909375
transcript.pyannote[534].end 5656.22721875
transcript.pyannote[535].speaker SPEAKER_05
transcript.pyannote[535].start 5656.22721875
transcript.pyannote[535].end 5656.27784375
transcript.pyannote[536].speaker SPEAKER_07
transcript.pyannote[536].start 5656.27784375
transcript.pyannote[536].end 5656.93596875
transcript.pyannote[537].speaker SPEAKER_05
transcript.pyannote[537].start 5656.48034375
transcript.pyannote[537].end 5661.64409375
transcript.pyannote[538].speaker SPEAKER_07
transcript.pyannote[538].start 5659.78784375
transcript.pyannote[538].end 5671.22909375
transcript.pyannote[539].speaker SPEAKER_07
transcript.pyannote[539].start 5671.29659375
transcript.pyannote[539].end 5671.90409375
transcript.pyannote[540].speaker SPEAKER_07
transcript.pyannote[540].start 5672.86596875
transcript.pyannote[540].end 5676.35909375
transcript.pyannote[541].speaker SPEAKER_07
transcript.pyannote[541].start 5676.83159375
transcript.pyannote[541].end 5678.92409375
transcript.pyannote[542].speaker SPEAKER_27
transcript.pyannote[542].start 5679.22784375
transcript.pyannote[542].end 5679.64971875
transcript.pyannote[543].speaker SPEAKER_07
transcript.pyannote[543].start 5679.36284375
transcript.pyannote[543].end 5692.74471875
transcript.pyannote[544].speaker SPEAKER_07
transcript.pyannote[544].start 5693.75721875
transcript.pyannote[544].end 5699.41034375
transcript.pyannote[545].speaker SPEAKER_07
transcript.pyannote[545].start 5700.37221875
transcript.pyannote[545].end 5705.60346875
transcript.pyannote[546].speaker SPEAKER_07
transcript.pyannote[546].start 5706.43034375
transcript.pyannote[546].end 5707.02096875
transcript.pyannote[547].speaker SPEAKER_07
transcript.pyannote[547].start 5708.21909375
transcript.pyannote[547].end 5713.02846875
transcript.pyannote[548].speaker SPEAKER_05
transcript.pyannote[548].start 5713.02846875
transcript.pyannote[548].end 5713.41659375
transcript.pyannote[549].speaker SPEAKER_07
transcript.pyannote[549].start 5714.05784375
transcript.pyannote[549].end 5714.07471875
transcript.pyannote[550].speaker SPEAKER_05
transcript.pyannote[550].start 5714.07471875
transcript.pyannote[550].end 5715.91409375
transcript.pyannote[551].speaker SPEAKER_05
transcript.pyannote[551].start 5716.42034375
transcript.pyannote[551].end 5727.49034375
transcript.pyannote[552].speaker SPEAKER_07
transcript.pyannote[552].start 5726.88284375
transcript.pyannote[552].end 5759.77221875
transcript.pyannote[553].speaker SPEAKER_32
transcript.pyannote[553].start 5741.54721875
transcript.pyannote[553].end 5741.56409375
transcript.pyannote[554].speaker SPEAKER_05
transcript.pyannote[554].start 5741.56409375
transcript.pyannote[554].end 5741.78346875
transcript.pyannote[555].speaker SPEAKER_32
transcript.pyannote[555].start 5741.78346875
transcript.pyannote[555].end 5741.86784375
transcript.pyannote[556].speaker SPEAKER_05
transcript.pyannote[556].start 5741.86784375
transcript.pyannote[556].end 5742.03659375
transcript.pyannote[557].speaker SPEAKER_07
transcript.pyannote[557].start 5759.87346875
transcript.pyannote[557].end 5772.96846875
transcript.pyannote[558].speaker SPEAKER_07
transcript.pyannote[558].start 5773.32284375
transcript.pyannote[558].end 5783.48159375
transcript.pyannote[559].speaker SPEAKER_07
transcript.pyannote[559].start 5783.95409375
transcript.pyannote[559].end 5791.98659375
transcript.pyannote[560].speaker SPEAKER_00
transcript.pyannote[560].start 5787.00846875
transcript.pyannote[560].end 5787.02534375
transcript.pyannote[561].speaker SPEAKER_27
transcript.pyannote[561].start 5787.02534375
transcript.pyannote[561].end 5787.41346875
transcript.pyannote[562].speaker SPEAKER_12
transcript.pyannote[562].start 5787.41346875
transcript.pyannote[562].end 5787.48096875
transcript.pyannote[563].speaker SPEAKER_00
transcript.pyannote[563].start 5787.48096875
transcript.pyannote[563].end 5787.49784375
transcript.pyannote[564].speaker SPEAKER_07
transcript.pyannote[564].start 5792.54346875
transcript.pyannote[564].end 5810.71784375
transcript.pyannote[565].speaker SPEAKER_07
transcript.pyannote[565].start 5811.89909375
transcript.pyannote[565].end 5812.84409375
transcript.pyannote[566].speaker SPEAKER_07
transcript.pyannote[566].start 5813.02971875
transcript.pyannote[566].end 5814.49784375
transcript.pyannote[567].speaker SPEAKER_07
transcript.pyannote[567].start 5814.90284375
transcript.pyannote[567].end 5821.46721875
transcript.pyannote[568].speaker SPEAKER_07
transcript.pyannote[568].start 5821.93971875
transcript.pyannote[568].end 5828.58846875
transcript.pyannote[569].speaker SPEAKER_07
transcript.pyannote[569].start 5828.79096875
transcript.pyannote[569].end 5830.57971875
transcript.pyannote[570].speaker SPEAKER_07
transcript.pyannote[570].start 5831.00159375
transcript.pyannote[570].end 5837.02596875
transcript.pyannote[571].speaker SPEAKER_05
transcript.pyannote[571].start 5837.02596875
transcript.pyannote[571].end 5838.84846875
transcript.pyannote[572].speaker SPEAKER_05
transcript.pyannote[572].start 5839.42221875
transcript.pyannote[572].end 5845.80096875
transcript.pyannote[573].speaker SPEAKER_05
transcript.pyannote[573].start 5845.98659375
transcript.pyannote[573].end 5850.15471875
transcript.pyannote[574].speaker SPEAKER_07
transcript.pyannote[574].start 5850.15471875
transcript.pyannote[574].end 5856.21284375
transcript.pyannote[575].speaker SPEAKER_07
transcript.pyannote[575].start 5856.38159375
transcript.pyannote[575].end 5863.30034375
transcript.pyannote[576].speaker SPEAKER_07
transcript.pyannote[576].start 5863.60409375
transcript.pyannote[576].end 5866.81034375
transcript.pyannote[577].speaker SPEAKER_07
transcript.pyannote[577].start 5867.38409375
transcript.pyannote[577].end 5879.06159375
transcript.pyannote[578].speaker SPEAKER_05
transcript.pyannote[578].start 5879.06159375
transcript.pyannote[578].end 5879.07846875
transcript.pyannote[579].speaker SPEAKER_07
transcript.pyannote[579].start 5879.60159375
transcript.pyannote[579].end 5880.02346875
transcript.pyannote[580].speaker SPEAKER_05
transcript.pyannote[580].start 5880.02346875
transcript.pyannote[580].end 5890.35096875
transcript.pyannote[581].speaker SPEAKER_07
transcript.pyannote[581].start 5886.38534375
transcript.pyannote[581].end 5889.52409375
transcript.pyannote[582].speaker SPEAKER_07
transcript.pyannote[582].start 5891.05971875
transcript.pyannote[582].end 5892.96659375
transcript.pyannote[583].speaker SPEAKER_05
transcript.pyannote[583].start 5892.96659375
transcript.pyannote[583].end 5893.62471875
transcript.pyannote[584].speaker SPEAKER_26
transcript.pyannote[584].start 5893.62471875
transcript.pyannote[584].end 5893.70909375
transcript.pyannote[585].speaker SPEAKER_05
transcript.pyannote[585].start 5893.70909375
transcript.pyannote[585].end 5893.74284375
transcript.pyannote[586].speaker SPEAKER_26
transcript.pyannote[586].start 5893.74284375
transcript.pyannote[586].end 5893.75971875
transcript.pyannote[587].speaker SPEAKER_05
transcript.pyannote[587].start 5895.68346875
transcript.pyannote[587].end 5895.70034375
transcript.pyannote[588].speaker SPEAKER_26
transcript.pyannote[588].start 5895.70034375
transcript.pyannote[588].end 5895.95346875
transcript.pyannote[589].speaker SPEAKER_26
transcript.pyannote[589].start 5896.67909375
transcript.pyannote[589].end 5899.36221875
transcript.pyannote[590].speaker SPEAKER_26
transcript.pyannote[590].start 5899.61534375
transcript.pyannote[590].end 5901.15096875
transcript.pyannote[591].speaker SPEAKER_21
transcript.pyannote[591].start 5906.07846875
transcript.pyannote[591].end 5909.08221875
transcript.pyannote[592].speaker SPEAKER_26
transcript.pyannote[592].start 5909.30159375
transcript.pyannote[592].end 5910.12846875
transcript.pyannote[593].speaker SPEAKER_05
transcript.pyannote[593].start 5917.46909375
transcript.pyannote[593].end 5918.07659375
transcript.pyannote[594].speaker SPEAKER_21
transcript.pyannote[594].start 5918.14409375
transcript.pyannote[594].end 5923.79721875
transcript.pyannote[595].speaker SPEAKER_21
transcript.pyannote[595].start 5924.06721875
transcript.pyannote[595].end 5929.06221875
transcript.pyannote[596].speaker SPEAKER_21
transcript.pyannote[596].start 5929.33221875
transcript.pyannote[596].end 5983.31534375
transcript.pyannote[597].speaker SPEAKER_21
transcript.pyannote[597].start 5983.63596875
transcript.pyannote[597].end 5985.55971875
transcript.pyannote[598].speaker SPEAKER_21
transcript.pyannote[598].start 5986.55534375
transcript.pyannote[598].end 5988.68159375
transcript.pyannote[599].speaker SPEAKER_21
transcript.pyannote[599].start 5988.86721875
transcript.pyannote[599].end 5991.46596875
transcript.pyannote[600].speaker SPEAKER_21
transcript.pyannote[600].start 5991.97221875
transcript.pyannote[600].end 5994.14909375
transcript.pyannote[601].speaker SPEAKER_21
transcript.pyannote[601].start 5994.87471875
transcript.pyannote[601].end 6001.92846875
transcript.pyannote[602].speaker SPEAKER_05
transcript.pyannote[602].start 6001.92846875
transcript.pyannote[602].end 6026.85284375
transcript.pyannote[603].speaker SPEAKER_21
transcript.pyannote[603].start 6023.22471875
transcript.pyannote[603].end 6028.38846875
transcript.pyannote[604].speaker SPEAKER_21
transcript.pyannote[604].start 6028.89471875
transcript.pyannote[604].end 6030.17721875
transcript.pyannote[605].speaker SPEAKER_21
transcript.pyannote[605].start 6030.90284375
transcript.pyannote[605].end 6032.74221875
transcript.pyannote[606].speaker SPEAKER_21
transcript.pyannote[606].start 6033.19784375
transcript.pyannote[606].end 6037.31534375
transcript.pyannote[607].speaker SPEAKER_05
transcript.pyannote[607].start 6037.31534375
transcript.pyannote[607].end 6037.51784375
transcript.pyannote[608].speaker SPEAKER_21
transcript.pyannote[608].start 6037.48409375
transcript.pyannote[608].end 6038.32784375
transcript.pyannote[609].speaker SPEAKER_05
transcript.pyannote[609].start 6038.32784375
transcript.pyannote[609].end 6053.75159375
transcript.pyannote[610].speaker SPEAKER_21
transcript.pyannote[610].start 6053.75159375
transcript.pyannote[610].end 6067.06596875
transcript.pyannote[611].speaker SPEAKER_05
transcript.pyannote[611].start 6054.25784375
transcript.pyannote[611].end 6055.43909375
transcript.pyannote[612].speaker SPEAKER_05
transcript.pyannote[612].start 6056.04659375
transcript.pyannote[612].end 6056.62034375
transcript.pyannote[613].speaker SPEAKER_21
transcript.pyannote[613].start 6068.48346875
transcript.pyannote[613].end 6070.15409375
transcript.pyannote[614].speaker SPEAKER_21
transcript.pyannote[614].start 6070.62659375
transcript.pyannote[614].end 6072.38159375
transcript.pyannote[615].speaker SPEAKER_21
transcript.pyannote[615].start 6073.15784375
transcript.pyannote[615].end 6086.18534375
transcript.pyannote[616].speaker SPEAKER_05
transcript.pyannote[616].start 6086.42159375
transcript.pyannote[616].end 6091.83846875
transcript.pyannote[617].speaker SPEAKER_05
transcript.pyannote[617].start 6092.22659375
transcript.pyannote[617].end 6120.17159375
transcript.pyannote[618].speaker SPEAKER_05
transcript.pyannote[618].start 6120.37409375
transcript.pyannote[618].end 6123.73221875
transcript.pyannote[619].speaker SPEAKER_05
transcript.pyannote[619].start 6124.05284375
transcript.pyannote[619].end 6128.30534375
transcript.pyannote[620].speaker SPEAKER_05
transcript.pyannote[620].start 6128.67659375
transcript.pyannote[620].end 6130.81971875
transcript.pyannote[621].speaker SPEAKER_21
transcript.pyannote[621].start 6129.13221875
transcript.pyannote[621].end 6129.92534375
transcript.pyannote[622].speaker SPEAKER_21
transcript.pyannote[622].start 6130.04346875
transcript.pyannote[622].end 6132.11909375
transcript.pyannote[623].speaker SPEAKER_05
transcript.pyannote[623].start 6131.19096875
transcript.pyannote[623].end 6133.46909375
transcript.pyannote[624].speaker SPEAKER_21
transcript.pyannote[624].start 6133.16534375
transcript.pyannote[624].end 6174.49221875
transcript.pyannote[625].speaker SPEAKER_27
transcript.pyannote[625].start 6146.34471875
transcript.pyannote[625].end 6146.63159375
transcript.pyannote[626].speaker SPEAKER_08
transcript.pyannote[626].start 6173.98596875
transcript.pyannote[626].end 6174.69471875
transcript.pyannote[627].speaker SPEAKER_21
transcript.pyannote[627].start 6174.54284375
transcript.pyannote[627].end 6237.89159375
transcript.pyannote[628].speaker SPEAKER_08
transcript.pyannote[628].start 6182.98034375
transcript.pyannote[628].end 6183.16596875
transcript.pyannote[629].speaker SPEAKER_00
transcript.pyannote[629].start 6186.28784375
transcript.pyannote[629].end 6186.67596875
transcript.pyannote[630].speaker SPEAKER_00
transcript.pyannote[630].start 6189.32534375
transcript.pyannote[630].end 6189.79784375
transcript.pyannote[631].speaker SPEAKER_00
transcript.pyannote[631].start 6191.26596875
transcript.pyannote[631].end 6191.58659375
transcript.pyannote[632].speaker SPEAKER_21
transcript.pyannote[632].start 6238.31346875
transcript.pyannote[632].end 6238.98846875
transcript.pyannote[633].speaker SPEAKER_21
transcript.pyannote[633].start 6239.46096875
transcript.pyannote[633].end 6240.01784375
transcript.pyannote[634].speaker SPEAKER_21
transcript.pyannote[634].start 6240.52409375
transcript.pyannote[634].end 6241.60409375
transcript.pyannote[635].speaker SPEAKER_21
transcript.pyannote[635].start 6241.70534375
transcript.pyannote[635].end 6242.44784375
transcript.pyannote[636].speaker SPEAKER_21
transcript.pyannote[636].start 6242.46471875
transcript.pyannote[636].end 6296.14409375
transcript.pyannote[637].speaker SPEAKER_05
transcript.pyannote[637].start 6296.51534375
transcript.pyannote[637].end 6302.48909375
transcript.pyannote[638].speaker SPEAKER_21
transcript.pyannote[638].start 6302.48909375
transcript.pyannote[638].end 6313.33971875
transcript.pyannote[639].speaker SPEAKER_21
transcript.pyannote[639].start 6313.86284375
transcript.pyannote[639].end 6314.28471875
transcript.pyannote[640].speaker SPEAKER_21
transcript.pyannote[640].start 6314.99346875
transcript.pyannote[640].end 6315.56721875
transcript.pyannote[641].speaker SPEAKER_21
transcript.pyannote[641].start 6316.03971875
transcript.pyannote[641].end 6316.69784375
transcript.pyannote[642].speaker SPEAKER_21
transcript.pyannote[642].start 6317.01846875
transcript.pyannote[642].end 6320.02221875
transcript.pyannote[643].speaker SPEAKER_05
transcript.pyannote[643].start 6320.56221875
transcript.pyannote[643].end 6325.54034375
transcript.pyannote[644].speaker SPEAKER_05
transcript.pyannote[644].start 6326.02971875
transcript.pyannote[644].end 6333.40409375
transcript.pyannote[645].speaker SPEAKER_21
transcript.pyannote[645].start 6333.04971875
transcript.pyannote[645].end 6335.31096875
transcript.pyannote[646].speaker SPEAKER_05
transcript.pyannote[646].start 6334.39971875
transcript.pyannote[646].end 6347.22471875
transcript.pyannote[647].speaker SPEAKER_21
transcript.pyannote[647].start 6345.95909375
transcript.pyannote[647].end 6348.65909375
transcript.pyannote[648].speaker SPEAKER_21
transcript.pyannote[648].start 6349.03034375
transcript.pyannote[648].end 6349.99221875
transcript.pyannote[649].speaker SPEAKER_05
transcript.pyannote[649].start 6350.63346875
transcript.pyannote[649].end 6351.67971875
transcript.pyannote[650].speaker SPEAKER_21
transcript.pyannote[650].start 6351.12284375
transcript.pyannote[650].end 6359.15534375
transcript.pyannote[651].speaker SPEAKER_05
transcript.pyannote[651].start 6354.58221875
transcript.pyannote[651].end 6356.15159375
transcript.pyannote[652].speaker SPEAKER_05
transcript.pyannote[652].start 6358.32846875
transcript.pyannote[652].end 6362.56409375
transcript.pyannote[653].speaker SPEAKER_21
transcript.pyannote[653].start 6362.78346875
transcript.pyannote[653].end 6365.16284375
transcript.pyannote[654].speaker SPEAKER_05
transcript.pyannote[654].start 6365.17971875
transcript.pyannote[654].end 6366.12471875
transcript.pyannote[655].speaker SPEAKER_21
transcript.pyannote[655].start 6366.22596875
transcript.pyannote[655].end 6369.93846875
transcript.pyannote[656].speaker SPEAKER_05
transcript.pyannote[656].start 6370.24221875
transcript.pyannote[656].end 6375.55784375
transcript.pyannote[657].speaker SPEAKER_21
transcript.pyannote[657].start 6374.59596875
transcript.pyannote[657].end 6378.00471875
transcript.pyannote[658].speaker SPEAKER_05
transcript.pyannote[658].start 6378.64596875
transcript.pyannote[658].end 6379.18596875
transcript.pyannote[659].speaker SPEAKER_21
transcript.pyannote[659].start 6378.88221875
transcript.pyannote[659].end 6380.95784375
transcript.pyannote[660].speaker SPEAKER_05
transcript.pyannote[660].start 6380.95784375
transcript.pyannote[660].end 6387.13409375
transcript.pyannote[661].speaker SPEAKER_21
transcript.pyannote[661].start 6386.91471875
transcript.pyannote[661].end 6388.50096875
transcript.pyannote[662].speaker SPEAKER_05
transcript.pyannote[662].start 6388.68659375
transcript.pyannote[662].end 6390.96471875
transcript.pyannote[663].speaker SPEAKER_21
transcript.pyannote[663].start 6390.91409375
transcript.pyannote[663].end 6395.60534375
transcript.pyannote[664].speaker SPEAKER_05
transcript.pyannote[664].start 6395.65596875
transcript.pyannote[664].end 6396.07784375
transcript.pyannote[665].speaker SPEAKER_21
transcript.pyannote[665].start 6396.33096875
transcript.pyannote[665].end 6398.10284375
transcript.pyannote[666].speaker SPEAKER_05
transcript.pyannote[666].start 6397.44471875
transcript.pyannote[666].end 6397.56284375
transcript.pyannote[667].speaker SPEAKER_05
transcript.pyannote[667].start 6398.10284375
transcript.pyannote[667].end 6399.41909375
transcript.pyannote[668].speaker SPEAKER_21
transcript.pyannote[668].start 6398.50784375
transcript.pyannote[668].end 6401.03909375
transcript.pyannote[669].speaker SPEAKER_05
transcript.pyannote[669].start 6401.03909375
transcript.pyannote[669].end 6406.13534375
transcript.pyannote[670].speaker SPEAKER_21
transcript.pyannote[670].start 6406.16909375
transcript.pyannote[670].end 6409.76346875
transcript.pyannote[671].speaker SPEAKER_05
transcript.pyannote[671].start 6409.20659375
transcript.pyannote[671].end 6410.16846875
transcript.pyannote[672].speaker SPEAKER_21
transcript.pyannote[672].start 6409.79721875
transcript.pyannote[672].end 6427.58346875
transcript.pyannote[673].speaker SPEAKER_05
transcript.pyannote[673].start 6427.71846875
transcript.pyannote[673].end 6428.51159375
transcript.pyannote[674].speaker SPEAKER_21
transcript.pyannote[674].start 6428.51159375
transcript.pyannote[674].end 6503.74034375
transcript.pyannote[675].speaker SPEAKER_05
transcript.pyannote[675].start 6430.46909375
transcript.pyannote[675].end 6431.26221875
transcript.pyannote[676].speaker SPEAKER_08
transcript.pyannote[676].start 6431.26221875
transcript.pyannote[676].end 6431.27909375
transcript.pyannote[677].speaker SPEAKER_21
transcript.pyannote[677].start 6503.92596875
transcript.pyannote[677].end 6503.95971875
transcript.pyannote[678].speaker SPEAKER_05
transcript.pyannote[678].start 6503.95971875
transcript.pyannote[678].end 6503.99346875
transcript.pyannote[679].speaker SPEAKER_21
transcript.pyannote[679].start 6503.99346875
transcript.pyannote[679].end 6504.02721875
transcript.pyannote[680].speaker SPEAKER_05
transcript.pyannote[680].start 6504.02721875
transcript.pyannote[680].end 6518.55659375
transcript.pyannote[681].speaker SPEAKER_05
transcript.pyannote[681].start 6519.07971875
transcript.pyannote[681].end 6519.56909375
transcript.pyannote[682].speaker SPEAKER_21
transcript.pyannote[682].start 6519.56909375
transcript.pyannote[682].end 6523.29846875
transcript.pyannote[683].speaker SPEAKER_05
transcript.pyannote[683].start 6521.86409375
transcript.pyannote[683].end 6528.59721875
transcript.pyannote[684].speaker SPEAKER_21
transcript.pyannote[684].start 6528.59721875
transcript.pyannote[684].end 6531.73596875
transcript.pyannote[685].speaker SPEAKER_05
transcript.pyannote[685].start 6529.33971875
transcript.pyannote[685].end 6531.14534375
transcript.pyannote[686].speaker SPEAKER_21
transcript.pyannote[686].start 6532.07346875
transcript.pyannote[686].end 6538.55346875
transcript.pyannote[687].speaker SPEAKER_21
transcript.pyannote[687].start 6539.17784375
transcript.pyannote[687].end 6544.51034375
transcript.pyannote[688].speaker SPEAKER_05
transcript.pyannote[688].start 6545.25284375
transcript.pyannote[688].end 6551.76659375
transcript.pyannote[689].speaker SPEAKER_21
transcript.pyannote[689].start 6551.47971875
transcript.pyannote[689].end 6556.10346875
transcript.pyannote[690].speaker SPEAKER_05
transcript.pyannote[690].start 6553.21784375
transcript.pyannote[690].end 6555.15846875
transcript.pyannote[691].speaker SPEAKER_21
transcript.pyannote[691].start 6556.42409375
transcript.pyannote[691].end 6557.23409375
transcript.pyannote[692].speaker SPEAKER_21
transcript.pyannote[692].start 6557.58846875
transcript.pyannote[692].end 6560.06909375
transcript.pyannote[693].speaker SPEAKER_05
transcript.pyannote[693].start 6560.06909375
transcript.pyannote[693].end 6566.17784375
transcript.pyannote[694].speaker SPEAKER_21
transcript.pyannote[694].start 6560.28846875
transcript.pyannote[694].end 6560.82846875
transcript.pyannote[695].speaker SPEAKER_21
transcript.pyannote[695].start 6566.38034375
transcript.pyannote[695].end 6570.10971875
transcript.pyannote[696].speaker SPEAKER_21
transcript.pyannote[696].start 6570.31221875
transcript.pyannote[696].end 6576.96096875
transcript.pyannote[697].speaker SPEAKER_05
transcript.pyannote[697].start 6576.96096875
transcript.pyannote[697].end 6577.01159375
transcript.pyannote[698].speaker SPEAKER_05
transcript.pyannote[698].start 6577.51784375
transcript.pyannote[698].end 6581.88846875
transcript.pyannote[699].speaker SPEAKER_21
transcript.pyannote[699].start 6581.39909375
transcript.pyannote[699].end 6581.61846875
transcript.pyannote[700].speaker SPEAKER_21
transcript.pyannote[700].start 6581.78721875
transcript.pyannote[700].end 6587.15346875
transcript.pyannote[701].speaker SPEAKER_21
transcript.pyannote[701].start 6587.55846875
transcript.pyannote[701].end 6596.11409375
transcript.pyannote[702].speaker SPEAKER_21
transcript.pyannote[702].start 6596.36721875
transcript.pyannote[702].end 6599.15159375
transcript.pyannote[703].speaker SPEAKER_21
transcript.pyannote[703].start 6599.53971875
transcript.pyannote[703].end 6600.24846875
transcript.pyannote[704].speaker SPEAKER_21
transcript.pyannote[704].start 6600.85596875
transcript.pyannote[704].end 6601.81784375
transcript.pyannote[705].speaker SPEAKER_21
transcript.pyannote[705].start 6602.10471875
transcript.pyannote[705].end 6609.85034375
transcript.pyannote[706].speaker SPEAKER_05
transcript.pyannote[706].start 6610.47471875
transcript.pyannote[706].end 6620.05971875
transcript.pyannote[707].speaker SPEAKER_05
transcript.pyannote[707].start 6620.63346875
transcript.pyannote[707].end 6632.74971875
transcript.pyannote[708].speaker SPEAKER_21
transcript.pyannote[708].start 6633.34034375
transcript.pyannote[708].end 6633.61034375
transcript.pyannote[709].speaker SPEAKER_21
transcript.pyannote[709].start 6633.94784375
transcript.pyannote[709].end 6636.02346875
transcript.pyannote[710].speaker SPEAKER_21
transcript.pyannote[710].start 6636.54659375
transcript.pyannote[710].end 6638.16659375
transcript.pyannote[711].speaker SPEAKER_21
transcript.pyannote[711].start 6638.85846875
transcript.pyannote[711].end 6644.24159375
transcript.pyannote[712].speaker SPEAKER_21
transcript.pyannote[712].start 6645.05159375
transcript.pyannote[712].end 6652.00409375
transcript.pyannote[713].speaker SPEAKER_21
transcript.pyannote[713].start 6652.79721875
transcript.pyannote[713].end 6654.51846875
transcript.pyannote[714].speaker SPEAKER_21
transcript.pyannote[714].start 6655.07534375
transcript.pyannote[714].end 6656.57721875
transcript.pyannote[715].speaker SPEAKER_21
transcript.pyannote[715].start 6656.93159375
transcript.pyannote[715].end 6671.15721875
transcript.pyannote[716].speaker SPEAKER_05
transcript.pyannote[716].start 6670.22909375
transcript.pyannote[716].end 6675.05534375
transcript.pyannote[717].speaker SPEAKER_21
transcript.pyannote[717].start 6673.87409375
transcript.pyannote[717].end 6675.07221875
transcript.pyannote[718].speaker SPEAKER_05
transcript.pyannote[718].start 6675.07221875
transcript.pyannote[718].end 6676.42221875
transcript.pyannote[719].speaker SPEAKER_26
transcript.pyannote[719].start 6678.44721875
transcript.pyannote[719].end 6680.38784375
transcript.pyannote[720].speaker SPEAKER_26
transcript.pyannote[720].start 6680.87721875
transcript.pyannote[720].end 6683.66159375
transcript.pyannote[721].speaker SPEAKER_22
transcript.pyannote[721].start 6692.99346875
transcript.pyannote[721].end 6696.21659375
transcript.pyannote[722].speaker SPEAKER_26
transcript.pyannote[722].start 6696.55409375
transcript.pyannote[722].end 6697.97159375
transcript.pyannote[723].speaker SPEAKER_05
transcript.pyannote[723].start 6705.51471875
transcript.pyannote[723].end 6705.98721875
transcript.pyannote[724].speaker SPEAKER_22
transcript.pyannote[724].start 6706.49346875
transcript.pyannote[724].end 6807.33846875
transcript.pyannote[725].speaker SPEAKER_22
transcript.pyannote[725].start 6808.36784375
transcript.pyannote[725].end 6869.42159375
transcript.pyannote[726].speaker SPEAKER_22
transcript.pyannote[726].start 6870.24846875
transcript.pyannote[726].end 6895.03784375
transcript.pyannote[727].speaker SPEAKER_22
transcript.pyannote[727].start 6895.37534375
transcript.pyannote[727].end 6900.28596875
transcript.pyannote[728].speaker SPEAKER_22
transcript.pyannote[728].start 6900.45471875
transcript.pyannote[728].end 6902.95221875
transcript.pyannote[729].speaker SPEAKER_22
transcript.pyannote[729].start 6904.18409375
transcript.pyannote[729].end 6917.26221875
transcript.pyannote[730].speaker SPEAKER_05
transcript.pyannote[730].start 6917.63346875
transcript.pyannote[730].end 6917.68409375
transcript.pyannote[731].speaker SPEAKER_05
transcript.pyannote[731].start 6917.95409375
transcript.pyannote[731].end 6929.05784375
transcript.pyannote[732].speaker SPEAKER_05
transcript.pyannote[732].start 6930.07034375
transcript.pyannote[732].end 6931.36971875
transcript.pyannote[733].speaker SPEAKER_11
transcript.pyannote[733].start 6932.19659375
transcript.pyannote[733].end 6974.55284375
transcript.pyannote[734].speaker SPEAKER_22
transcript.pyannote[734].start 6974.62034375
transcript.pyannote[734].end 6978.18096875
transcript.pyannote[735].speaker SPEAKER_11
transcript.pyannote[735].start 6978.28221875
transcript.pyannote[735].end 6978.75471875
transcript.pyannote[736].speaker SPEAKER_11
transcript.pyannote[736].start 6978.83909375
transcript.pyannote[736].end 6981.13409375
transcript.pyannote[737].speaker SPEAKER_11
transcript.pyannote[737].start 6981.52221875
transcript.pyannote[737].end 7017.17909375
transcript.pyannote[738].speaker SPEAKER_22
transcript.pyannote[738].start 7017.31409375
transcript.pyannote[738].end 7032.95721875
transcript.pyannote[739].speaker SPEAKER_05
transcript.pyannote[739].start 7032.26534375
transcript.pyannote[739].end 7037.85096875
transcript.pyannote[740].speaker SPEAKER_22
transcript.pyannote[740].start 7037.24346875
transcript.pyannote[740].end 7127.40659375
transcript.pyannote[741].speaker SPEAKER_22
transcript.pyannote[741].start 7127.84534375
transcript.pyannote[741].end 7131.40596875
transcript.pyannote[742].speaker SPEAKER_22
transcript.pyannote[742].start 7131.45659375
transcript.pyannote[742].end 7137.02534375
transcript.pyannote[743].speaker SPEAKER_05
transcript.pyannote[743].start 7137.02534375
transcript.pyannote[743].end 7138.51034375
transcript.pyannote[744].speaker SPEAKER_05
transcript.pyannote[744].start 7139.38784375
transcript.pyannote[744].end 7139.79284375
transcript.pyannote[745].speaker SPEAKER_05
transcript.pyannote[745].start 7140.34971875
transcript.pyannote[745].end 7146.30659375
transcript.pyannote[746].speaker SPEAKER_05
transcript.pyannote[746].start 7146.50909375
transcript.pyannote[746].end 7148.61846875
transcript.pyannote[747].speaker SPEAKER_05
transcript.pyannote[747].start 7148.97284375
transcript.pyannote[747].end 7192.39221875
transcript.pyannote[748].speaker SPEAKER_05
transcript.pyannote[748].start 7192.86471875
transcript.pyannote[748].end 7195.14284375
transcript.pyannote[749].speaker SPEAKER_05
transcript.pyannote[749].start 7195.53096875
transcript.pyannote[749].end 7203.02346875
transcript.pyannote[750].speaker SPEAKER_22
transcript.pyannote[750].start 7203.02346875
transcript.pyannote[750].end 7210.87034375
transcript.pyannote[751].speaker SPEAKER_06
transcript.pyannote[751].start 7207.59659375
transcript.pyannote[751].end 7208.59221875
transcript.pyannote[752].speaker SPEAKER_06
transcript.pyannote[752].start 7210.29659375
transcript.pyannote[752].end 7211.96721875
transcript.pyannote[753].speaker SPEAKER_26
transcript.pyannote[753].start 7211.96721875
transcript.pyannote[753].end 7212.42284375
transcript.pyannote[754].speaker SPEAKER_26
transcript.pyannote[754].start 7215.17346875
transcript.pyannote[754].end 7217.29971875
transcript.pyannote[755].speaker SPEAKER_26
transcript.pyannote[755].start 7217.82284375
transcript.pyannote[755].end 7220.97846875
transcript.pyannote[756].speaker SPEAKER_26
transcript.pyannote[756].start 7247.06721875
transcript.pyannote[756].end 7249.22721875
transcript.pyannote[757].speaker SPEAKER_26
transcript.pyannote[757].start 7253.69909375
transcript.pyannote[757].end 7253.76659375
transcript.pyannote[758].speaker SPEAKER_05
transcript.pyannote[758].start 7253.76659375
transcript.pyannote[758].end 7254.35721875
transcript.pyannote[759].speaker SPEAKER_02
transcript.pyannote[759].start 7264.06034375
transcript.pyannote[759].end 7266.54096875
transcript.pyannote[760].speaker SPEAKER_02
transcript.pyannote[760].start 7266.76034375
transcript.pyannote[760].end 7267.16534375
transcript.pyannote[761].speaker SPEAKER_02
transcript.pyannote[761].start 7267.63784375
transcript.pyannote[761].end 7268.70096875
transcript.pyannote[762].speaker SPEAKER_02
transcript.pyannote[762].start 7268.97096875
transcript.pyannote[762].end 7280.39534375
transcript.pyannote[763].speaker SPEAKER_02
transcript.pyannote[763].start 7280.83409375
transcript.pyannote[763].end 7284.07409375
transcript.pyannote[764].speaker SPEAKER_02
transcript.pyannote[764].start 7284.47909375
transcript.pyannote[764].end 7287.68534375
transcript.pyannote[765].speaker SPEAKER_02
transcript.pyannote[765].start 7288.24221875
transcript.pyannote[765].end 7289.08596875
transcript.pyannote[766].speaker SPEAKER_02
transcript.pyannote[766].start 7289.28846875
transcript.pyannote[766].end 7293.38909375
transcript.pyannote[767].speaker SPEAKER_02
transcript.pyannote[767].start 7294.09784375
transcript.pyannote[767].end 7294.45221875
transcript.pyannote[768].speaker SPEAKER_27
transcript.pyannote[768].start 7294.68846875
transcript.pyannote[768].end 7294.70534375
transcript.pyannote[769].speaker SPEAKER_00
transcript.pyannote[769].start 7294.70534375
transcript.pyannote[769].end 7295.00909375
transcript.pyannote[770].speaker SPEAKER_02
transcript.pyannote[770].start 7295.12721875
transcript.pyannote[770].end 7297.23659375
transcript.pyannote[771].speaker SPEAKER_02
transcript.pyannote[771].start 7297.64159375
transcript.pyannote[771].end 7298.50221875
transcript.pyannote[772].speaker SPEAKER_02
transcript.pyannote[772].start 7299.56534375
transcript.pyannote[772].end 7301.37096875
transcript.pyannote[773].speaker SPEAKER_02
transcript.pyannote[773].start 7301.75909375
transcript.pyannote[773].end 7303.37909375
transcript.pyannote[774].speaker SPEAKER_02
transcript.pyannote[774].start 7304.00346875
transcript.pyannote[774].end 7304.83034375
transcript.pyannote[775].speaker SPEAKER_02
transcript.pyannote[775].start 7305.11721875
transcript.pyannote[775].end 7306.29846875
transcript.pyannote[776].speaker SPEAKER_02
transcript.pyannote[776].start 7307.12534375
transcript.pyannote[776].end 7309.26846875
transcript.pyannote[777].speaker SPEAKER_02
transcript.pyannote[777].start 7310.01096875
transcript.pyannote[777].end 7311.76596875
transcript.pyannote[778].speaker SPEAKER_02
transcript.pyannote[778].start 7312.84596875
transcript.pyannote[778].end 7316.99721875
transcript.pyannote[779].speaker SPEAKER_02
transcript.pyannote[779].start 7317.52034375
transcript.pyannote[779].end 7318.76909375
transcript.pyannote[780].speaker SPEAKER_02
transcript.pyannote[780].start 7319.46096875
transcript.pyannote[780].end 7321.89096875
transcript.pyannote[781].speaker SPEAKER_02
transcript.pyannote[781].start 7322.34659375
transcript.pyannote[781].end 7324.70909375
transcript.pyannote[782].speaker SPEAKER_02
transcript.pyannote[782].start 7325.51909375
transcript.pyannote[782].end 7332.97784375
transcript.pyannote[783].speaker SPEAKER_02
transcript.pyannote[783].start 7333.68659375
transcript.pyannote[783].end 7335.37409375
transcript.pyannote[784].speaker SPEAKER_02
transcript.pyannote[784].start 7335.50909375
transcript.pyannote[784].end 7337.07846875
transcript.pyannote[785].speaker SPEAKER_02
transcript.pyannote[785].start 7337.24721875
transcript.pyannote[785].end 7337.98971875
transcript.pyannote[786].speaker SPEAKER_02
transcript.pyannote[786].start 7338.17534375
transcript.pyannote[786].end 7339.25534375
transcript.pyannote[787].speaker SPEAKER_02
transcript.pyannote[787].start 7339.91346875
transcript.pyannote[787].end 7342.51221875
transcript.pyannote[788].speaker SPEAKER_02
transcript.pyannote[788].start 7342.96784375
transcript.pyannote[788].end 7343.79471875
transcript.pyannote[789].speaker SPEAKER_02
transcript.pyannote[789].start 7344.70596875
transcript.pyannote[789].end 7347.33846875
transcript.pyannote[790].speaker SPEAKER_02
transcript.pyannote[790].start 7347.65909375
transcript.pyannote[790].end 7349.80221875
transcript.pyannote[791].speaker SPEAKER_02
transcript.pyannote[791].start 7350.29159375
transcript.pyannote[791].end 7353.19409375
transcript.pyannote[792].speaker SPEAKER_02
transcript.pyannote[792].start 7354.18971875
transcript.pyannote[792].end 7355.23596875
transcript.pyannote[793].speaker SPEAKER_02
transcript.pyannote[793].start 7355.30346875
transcript.pyannote[793].end 7357.02471875
transcript.pyannote[794].speaker SPEAKER_02
transcript.pyannote[794].start 7357.96971875
transcript.pyannote[794].end 7359.43784375
transcript.pyannote[795].speaker SPEAKER_02
transcript.pyannote[795].start 7359.84284375
transcript.pyannote[795].end 7360.19721875
transcript.pyannote[796].speaker SPEAKER_02
transcript.pyannote[796].start 7360.38284375
transcript.pyannote[796].end 7361.73284375
transcript.pyannote[797].speaker SPEAKER_02
transcript.pyannote[797].start 7362.52596875
transcript.pyannote[797].end 7370.18721875
transcript.pyannote[798].speaker SPEAKER_02
transcript.pyannote[798].start 7370.45721875
transcript.pyannote[798].end 7371.13221875
transcript.pyannote[799].speaker SPEAKER_02
transcript.pyannote[799].start 7371.82409375
transcript.pyannote[799].end 7372.87034375
transcript.pyannote[800].speaker SPEAKER_05
transcript.pyannote[800].start 7374.89534375
transcript.pyannote[800].end 7375.57034375
transcript.pyannote[801].speaker SPEAKER_05
transcript.pyannote[801].start 7376.21159375
transcript.pyannote[801].end 7397.67659375
transcript.pyannote[802].speaker SPEAKER_05
transcript.pyannote[802].start 7397.99721875
transcript.pyannote[802].end 7441.38284375
transcript.pyannote[803].speaker SPEAKER_05
transcript.pyannote[803].start 7441.63596875
transcript.pyannote[803].end 7497.23909375
transcript.pyannote[804].speaker SPEAKER_05
transcript.pyannote[804].start 7497.37409375
transcript.pyannote[804].end 7508.30909375
transcript.pyannote[805].speaker SPEAKER_02
transcript.pyannote[805].start 7508.30909375
transcript.pyannote[805].end 7517.92784375
transcript.pyannote[806].speaker SPEAKER_05
transcript.pyannote[806].start 7508.51159375
transcript.pyannote[806].end 7508.91659375
transcript.pyannote[807].speaker SPEAKER_05
transcript.pyannote[807].start 7511.04284375
transcript.pyannote[807].end 7511.58284375
transcript.pyannote[808].speaker SPEAKER_02
transcript.pyannote[808].start 7518.43409375
transcript.pyannote[808].end 7527.05721875
transcript.pyannote[809].speaker SPEAKER_02
transcript.pyannote[809].start 7527.86721875
transcript.pyannote[809].end 7529.16659375
transcript.pyannote[810].speaker SPEAKER_02
transcript.pyannote[810].start 7529.58846875
transcript.pyannote[810].end 7534.56659375
transcript.pyannote[811].speaker SPEAKER_02
transcript.pyannote[811].start 7535.07284375
transcript.pyannote[811].end 7535.35971875
transcript.pyannote[812].speaker SPEAKER_02
transcript.pyannote[812].start 7535.71409375
transcript.pyannote[812].end 7539.40971875
transcript.pyannote[813].speaker SPEAKER_02
transcript.pyannote[813].start 7540.21971875
transcript.pyannote[813].end 7541.43471875
transcript.pyannote[814].speaker SPEAKER_02
transcript.pyannote[814].start 7542.02534375
transcript.pyannote[814].end 7543.30784375
transcript.pyannote[815].speaker SPEAKER_02
transcript.pyannote[815].start 7544.15159375
transcript.pyannote[815].end 7550.05784375
transcript.pyannote[816].speaker SPEAKER_02
transcript.pyannote[816].start 7550.58096875
transcript.pyannote[816].end 7551.49221875
transcript.pyannote[817].speaker SPEAKER_02
transcript.pyannote[817].start 7553.70284375
transcript.pyannote[817].end 7555.06971875
transcript.pyannote[818].speaker SPEAKER_09
transcript.pyannote[818].start 7555.06971875
transcript.pyannote[818].end 7555.37346875
transcript.pyannote[819].speaker SPEAKER_02
transcript.pyannote[819].start 7555.59284375
transcript.pyannote[819].end 7558.73159375
transcript.pyannote[820].speaker SPEAKER_09
transcript.pyannote[820].start 7557.65159375
transcript.pyannote[820].end 7558.19159375
transcript.pyannote[821].speaker SPEAKER_09
transcript.pyannote[821].start 7558.86659375
transcript.pyannote[821].end 7568.46846875
transcript.pyannote[822].speaker SPEAKER_09
transcript.pyannote[822].start 7568.60346875
transcript.pyannote[822].end 7572.02909375
transcript.pyannote[823].speaker SPEAKER_09
transcript.pyannote[823].start 7572.23159375
transcript.pyannote[823].end 7573.14284375
transcript.pyannote[824].speaker SPEAKER_09
transcript.pyannote[824].start 7573.49721875
transcript.pyannote[824].end 7574.07096875
transcript.pyannote[825].speaker SPEAKER_02
transcript.pyannote[825].start 7574.07096875
transcript.pyannote[825].end 7577.64846875
transcript.pyannote[826].speaker SPEAKER_09
transcript.pyannote[826].start 7575.42096875
transcript.pyannote[826].end 7577.80034375
transcript.pyannote[827].speaker SPEAKER_02
transcript.pyannote[827].start 7577.96909375
transcript.pyannote[827].end 7579.03221875
transcript.pyannote[828].speaker SPEAKER_02
transcript.pyannote[828].start 7579.25159375
transcript.pyannote[828].end 7580.83784375
transcript.pyannote[829].speaker SPEAKER_02
transcript.pyannote[829].start 7581.96846875
transcript.pyannote[829].end 7585.81596875
transcript.pyannote[830].speaker SPEAKER_02
transcript.pyannote[830].start 7586.33909375
transcript.pyannote[830].end 7587.28409375
transcript.pyannote[831].speaker SPEAKER_02
transcript.pyannote[831].start 7587.95909375
transcript.pyannote[831].end 7589.51159375
transcript.pyannote[832].speaker SPEAKER_02
transcript.pyannote[832].start 7590.15284375
transcript.pyannote[832].end 7592.56596875
transcript.pyannote[833].speaker SPEAKER_02
transcript.pyannote[833].start 7592.98784375
transcript.pyannote[833].end 7593.83159375
transcript.pyannote[834].speaker SPEAKER_02
transcript.pyannote[834].start 7594.00034375
transcript.pyannote[834].end 7595.29971875
transcript.pyannote[835].speaker SPEAKER_02
transcript.pyannote[835].start 7595.60346875
transcript.pyannote[835].end 7596.09284375
transcript.pyannote[836].speaker SPEAKER_02
transcript.pyannote[836].start 7597.02096875
transcript.pyannote[836].end 7601.66159375
transcript.pyannote[837].speaker SPEAKER_02
transcript.pyannote[837].start 7602.40409375
transcript.pyannote[837].end 7603.43346875
transcript.pyannote[838].speaker SPEAKER_02
transcript.pyannote[838].start 7603.51784375
transcript.pyannote[838].end 7605.47534375
transcript.pyannote[839].speaker SPEAKER_02
transcript.pyannote[839].start 7605.76221875
transcript.pyannote[839].end 7608.47909375
transcript.pyannote[840].speaker SPEAKER_02
transcript.pyannote[840].start 7608.93471875
transcript.pyannote[840].end 7611.28034375
transcript.pyannote[841].speaker SPEAKER_02
transcript.pyannote[841].start 7611.36471875
transcript.pyannote[841].end 7613.27159375
transcript.pyannote[842].speaker SPEAKER_02
transcript.pyannote[842].start 7613.67659375
transcript.pyannote[842].end 7620.30846875
transcript.pyannote[843].speaker SPEAKER_02
transcript.pyannote[843].start 7620.47721875
transcript.pyannote[843].end 7620.89909375
transcript.pyannote[844].speaker SPEAKER_02
transcript.pyannote[844].start 7621.25346875
transcript.pyannote[844].end 7622.01284375
transcript.pyannote[845].speaker SPEAKER_02
transcript.pyannote[845].start 7623.86909375
transcript.pyannote[845].end 7625.96159375
transcript.pyannote[846].speaker SPEAKER_02
transcript.pyannote[846].start 7626.83909375
transcript.pyannote[846].end 7629.40409375
transcript.pyannote[847].speaker SPEAKER_05
transcript.pyannote[847].start 7629.40409375
transcript.pyannote[847].end 7634.43284375
transcript.pyannote[848].speaker SPEAKER_05
transcript.pyannote[848].start 7634.73659375
transcript.pyannote[848].end 7639.19159375
transcript.pyannote[849].speaker SPEAKER_02
transcript.pyannote[849].start 7639.15784375
transcript.pyannote[849].end 7647.08909375
transcript.pyannote[850].speaker SPEAKER_05
transcript.pyannote[850].start 7639.69784375
transcript.pyannote[850].end 7639.91721875
transcript.pyannote[851].speaker SPEAKER_05
transcript.pyannote[851].start 7641.95909375
transcript.pyannote[851].end 7642.46534375
transcript.pyannote[852].speaker SPEAKER_05
transcript.pyannote[852].start 7644.87846875
transcript.pyannote[852].end 7646.14409375
transcript.pyannote[853].speaker SPEAKER_05
transcript.pyannote[853].start 7646.41409375
transcript.pyannote[853].end 7653.67034375
transcript.pyannote[854].speaker SPEAKER_05
transcript.pyannote[854].start 7653.77159375
transcript.pyannote[854].end 7655.50971875
transcript.pyannote[855].speaker SPEAKER_05
transcript.pyannote[855].start 7655.57721875
transcript.pyannote[855].end 7655.59409375
transcript.pyannote[856].speaker SPEAKER_08
transcript.pyannote[856].start 7655.59409375
transcript.pyannote[856].end 7655.84721875
transcript.pyannote[857].speaker SPEAKER_05
transcript.pyannote[857].start 7655.76284375
transcript.pyannote[857].end 7672.53659375
transcript.pyannote[858].speaker SPEAKER_05
transcript.pyannote[858].start 7672.82346875
transcript.pyannote[858].end 7681.88534375
transcript.pyannote[859].speaker SPEAKER_05
transcript.pyannote[859].start 7682.29034375
transcript.pyannote[859].end 7683.52221875
transcript.pyannote[860].speaker SPEAKER_02
transcript.pyannote[860].start 7683.94409375
transcript.pyannote[860].end 7684.09596875
transcript.pyannote[861].speaker SPEAKER_05
transcript.pyannote[861].start 7684.09596875
transcript.pyannote[861].end 7684.31534375
transcript.pyannote[862].speaker SPEAKER_02
transcript.pyannote[862].start 7684.31534375
transcript.pyannote[862].end 7684.33221875
transcript.pyannote[863].speaker SPEAKER_05
transcript.pyannote[863].start 7684.33221875
transcript.pyannote[863].end 7685.31096875
transcript.pyannote[864].speaker SPEAKER_05
transcript.pyannote[864].start 7686.35721875
transcript.pyannote[864].end 7686.96471875
transcript.pyannote[865].speaker SPEAKER_02
transcript.pyannote[865].start 7686.96471875
transcript.pyannote[865].end 7687.23471875
transcript.pyannote[866].speaker SPEAKER_02
transcript.pyannote[866].start 7687.70721875
transcript.pyannote[866].end 7692.66846875
transcript.pyannote[867].speaker SPEAKER_02
transcript.pyannote[867].start 7693.49534375
transcript.pyannote[867].end 7708.34534375
transcript.pyannote[868].speaker SPEAKER_02
transcript.pyannote[868].start 7708.37909375
transcript.pyannote[868].end 7708.39596875
transcript.pyannote[869].speaker SPEAKER_04
transcript.pyannote[869].start 7708.39596875
transcript.pyannote[869].end 7713.23909375
transcript.pyannote[870].speaker SPEAKER_02
transcript.pyannote[870].start 7711.75409375
transcript.pyannote[870].end 7716.17534375
transcript.pyannote[871].speaker SPEAKER_04
transcript.pyannote[871].start 7714.35284375
transcript.pyannote[871].end 7714.48784375
transcript.pyannote[872].speaker SPEAKER_02
transcript.pyannote[872].start 7716.42846875
transcript.pyannote[872].end 7717.50846875
transcript.pyannote[873].speaker SPEAKER_04
transcript.pyannote[873].start 7716.46221875
transcript.pyannote[873].end 7723.51596875
transcript.pyannote[874].speaker SPEAKER_02
transcript.pyannote[874].start 7720.39409375
transcript.pyannote[874].end 7720.41096875
transcript.pyannote[875].speaker SPEAKER_02
transcript.pyannote[875].start 7720.42784375
transcript.pyannote[875].end 7720.52909375
transcript.pyannote[876].speaker SPEAKER_02
transcript.pyannote[876].start 7721.55846875
transcript.pyannote[876].end 7722.53721875
transcript.pyannote[877].speaker SPEAKER_02
transcript.pyannote[877].start 7723.51596875
transcript.pyannote[877].end 7724.44409375
transcript.pyannote[878].speaker SPEAKER_04
transcript.pyannote[878].start 7723.53284375
transcript.pyannote[878].end 7723.58346875
transcript.pyannote[879].speaker SPEAKER_02
transcript.pyannote[879].start 7725.55784375
transcript.pyannote[879].end 7728.64596875
transcript.pyannote[880].speaker SPEAKER_02
transcript.pyannote[880].start 7729.13534375
transcript.pyannote[880].end 7730.19846875
transcript.pyannote[881].speaker SPEAKER_02
transcript.pyannote[881].start 7730.55284375
transcript.pyannote[881].end 7733.40471875
transcript.pyannote[882].speaker SPEAKER_05
transcript.pyannote[882].start 7733.40471875
transcript.pyannote[882].end 7748.22096875
transcript.pyannote[883].speaker SPEAKER_05
transcript.pyannote[883].start 7748.87909375
transcript.pyannote[883].end 7750.33034375
transcript.pyannote[884].speaker SPEAKER_02
transcript.pyannote[884].start 7749.97596875
transcript.pyannote[884].end 7751.44409375
transcript.pyannote[885].speaker SPEAKER_05
transcript.pyannote[885].start 7750.75221875
transcript.pyannote[885].end 7752.96284375
transcript.pyannote[886].speaker SPEAKER_02
transcript.pyannote[886].start 7752.96284375
transcript.pyannote[886].end 7765.02846875
transcript.pyannote[887].speaker SPEAKER_05
transcript.pyannote[887].start 7753.43534375
transcript.pyannote[887].end 7754.34659375
transcript.pyannote[888].speaker SPEAKER_05
transcript.pyannote[888].start 7763.54346875
transcript.pyannote[888].end 7764.35346875
transcript.pyannote[889].speaker SPEAKER_05
transcript.pyannote[889].start 7765.02846875
transcript.pyannote[889].end 7775.71034375
transcript.pyannote[890].speaker SPEAKER_05
transcript.pyannote[890].start 7775.82846875
transcript.pyannote[890].end 7778.20784375
transcript.pyannote[891].speaker SPEAKER_05
transcript.pyannote[891].start 7778.95034375
transcript.pyannote[891].end 7779.30471875
transcript.pyannote[892].speaker SPEAKER_05
transcript.pyannote[892].start 7779.77721875
transcript.pyannote[892].end 7782.02159375
transcript.pyannote[893].speaker SPEAKER_05
transcript.pyannote[893].start 7782.10596875
transcript.pyannote[893].end 7783.20284375
transcript.pyannote[894].speaker SPEAKER_05
transcript.pyannote[894].start 7783.79346875
transcript.pyannote[894].end 7784.11409375
transcript.pyannote[895].speaker SPEAKER_02
transcript.pyannote[895].start 7784.11409375
transcript.pyannote[895].end 7784.28284375
transcript.pyannote[896].speaker SPEAKER_05
transcript.pyannote[896].start 7784.28284375
transcript.pyannote[896].end 7786.56096875
transcript.pyannote[897].speaker SPEAKER_02
transcript.pyannote[897].start 7784.82284375
transcript.pyannote[897].end 7787.18534375
transcript.pyannote[898].speaker SPEAKER_05
transcript.pyannote[898].start 7787.18534375
transcript.pyannote[898].end 7787.26971875
transcript.pyannote[899].speaker SPEAKER_02
transcript.pyannote[899].start 7787.26971875
transcript.pyannote[899].end 7788.56909375
transcript.pyannote[900].speaker SPEAKER_05
transcript.pyannote[900].start 7787.30346875
transcript.pyannote[900].end 7787.52284375
transcript.pyannote[901].speaker SPEAKER_05
transcript.pyannote[901].start 7787.97846875
transcript.pyannote[901].end 7798.03596875
transcript.pyannote[902].speaker SPEAKER_02
transcript.pyannote[902].start 7790.03721875
transcript.pyannote[902].end 7790.08784375
transcript.pyannote[903].speaker SPEAKER_06
transcript.pyannote[903].start 7795.92659375
transcript.pyannote[903].end 7796.33159375
transcript.pyannote[904].speaker SPEAKER_05
transcript.pyannote[904].start 7798.32284375
transcript.pyannote[904].end 7808.98784375
transcript.pyannote[905].speaker SPEAKER_05
transcript.pyannote[905].start 7809.56159375
transcript.pyannote[905].end 7817.64471875
transcript.pyannote[906].speaker SPEAKER_05
transcript.pyannote[906].start 7817.98221875
transcript.pyannote[906].end 7834.09784375
transcript.pyannote[907].speaker SPEAKER_02
transcript.pyannote[907].start 7831.85346875
transcript.pyannote[907].end 7844.93159375
transcript.pyannote[908].speaker SPEAKER_26
transcript.pyannote[908].start 7839.29534375
transcript.pyannote[908].end 7842.50159375
transcript.pyannote[909].speaker SPEAKER_06
transcript.pyannote[909].start 7843.00784375
transcript.pyannote[909].end 7843.04159375
transcript.pyannote[910].speaker SPEAKER_26
transcript.pyannote[910].start 7843.04159375
transcript.pyannote[910].end 7844.22284375
transcript.pyannote[911].speaker SPEAKER_26
transcript.pyannote[911].start 7847.90159375
transcript.pyannote[911].end 7852.27221875
transcript.pyannote[912].speaker SPEAKER_26
transcript.pyannote[912].start 7852.44096875
transcript.pyannote[912].end 7854.28034375
transcript.pyannote[913].speaker SPEAKER_19
transcript.pyannote[913].start 7863.07221875
transcript.pyannote[913].end 7873.75409375
transcript.pyannote[914].speaker SPEAKER_26
transcript.pyannote[914].start 7874.27721875
transcript.pyannote[914].end 7875.89721875
transcript.pyannote[915].speaker SPEAKER_26
transcript.pyannote[915].start 7876.21784375
transcript.pyannote[915].end 7876.25159375
transcript.pyannote[916].speaker SPEAKER_26
transcript.pyannote[916].start 7876.94346875
transcript.pyannote[916].end 7876.96034375
transcript.pyannote[917].speaker SPEAKER_19
transcript.pyannote[917].start 7876.96034375
transcript.pyannote[917].end 7877.46659375
transcript.pyannote[918].speaker SPEAKER_19
transcript.pyannote[918].start 7878.56346875
transcript.pyannote[918].end 7878.95159375
transcript.pyannote[919].speaker SPEAKER_19
transcript.pyannote[919].start 7879.64346875
transcript.pyannote[919].end 7895.37096875
transcript.pyannote[920].speaker SPEAKER_19
transcript.pyannote[920].start 7895.75909375
transcript.pyannote[920].end 7924.49721875
transcript.pyannote[921].speaker SPEAKER_19
transcript.pyannote[921].start 7924.93596875
transcript.pyannote[921].end 7936.74846875
transcript.pyannote[922].speaker SPEAKER_19
transcript.pyannote[922].start 7937.32221875
transcript.pyannote[922].end 7958.60159375
transcript.pyannote[923].speaker SPEAKER_19
transcript.pyannote[923].start 7958.78721875
transcript.pyannote[923].end 7960.66034375
transcript.pyannote[924].speaker SPEAKER_05
transcript.pyannote[924].start 7961.40284375
transcript.pyannote[924].end 7961.58846875
transcript.pyannote[925].speaker SPEAKER_05
transcript.pyannote[925].start 7961.90909375
transcript.pyannote[925].end 7962.41534375
transcript.pyannote[926].speaker SPEAKER_05
transcript.pyannote[926].start 7962.58409375
transcript.pyannote[926].end 7973.26596875
transcript.pyannote[927].speaker SPEAKER_05
transcript.pyannote[927].start 7973.45159375
transcript.pyannote[927].end 7978.73346875
transcript.pyannote[928].speaker SPEAKER_05
transcript.pyannote[928].start 7978.93596875
transcript.pyannote[928].end 7982.49659375
transcript.pyannote[929].speaker SPEAKER_08
transcript.pyannote[929].start 7982.36159375
transcript.pyannote[929].end 7982.88471875
transcript.pyannote[930].speaker SPEAKER_05
transcript.pyannote[930].start 7982.66534375
transcript.pyannote[930].end 7988.06534375
transcript.pyannote[931].speaker SPEAKER_05
transcript.pyannote[931].start 7988.21721875
transcript.pyannote[931].end 7991.28846875
transcript.pyannote[932].speaker SPEAKER_05
transcript.pyannote[932].start 7991.45721875
transcript.pyannote[932].end 7991.62596875
transcript.pyannote[933].speaker SPEAKER_08
transcript.pyannote[933].start 7991.50784375
transcript.pyannote[933].end 7991.96346875
transcript.pyannote[934].speaker SPEAKER_05
transcript.pyannote[934].start 7991.96346875
transcript.pyannote[934].end 8002.20659375
transcript.pyannote[935].speaker SPEAKER_05
transcript.pyannote[935].start 8002.64534375
transcript.pyannote[935].end 8003.11784375
transcript.pyannote[936].speaker SPEAKER_05
transcript.pyannote[936].start 8003.52284375
transcript.pyannote[936].end 8010.72846875
transcript.pyannote[937].speaker SPEAKER_19
transcript.pyannote[937].start 8010.45846875
transcript.pyannote[937].end 8010.81284375
transcript.pyannote[938].speaker SPEAKER_19
transcript.pyannote[938].start 8011.04909375
transcript.pyannote[938].end 8017.57971875
transcript.pyannote[939].speaker SPEAKER_05
transcript.pyannote[939].start 8017.57971875
transcript.pyannote[939].end 8017.59659375
transcript.pyannote[940].speaker SPEAKER_05
transcript.pyannote[940].start 8017.78221875
transcript.pyannote[940].end 8029.71284375
transcript.pyannote[941].speaker SPEAKER_05
transcript.pyannote[941].start 8029.91534375
transcript.pyannote[941].end 8030.64096875
transcript.pyannote[942].speaker SPEAKER_19
transcript.pyannote[942].start 8030.47221875
transcript.pyannote[942].end 8049.10221875
transcript.pyannote[943].speaker SPEAKER_19
transcript.pyannote[943].start 8049.67596875
transcript.pyannote[943].end 8090.80034375
transcript.pyannote[944].speaker SPEAKER_15
transcript.pyannote[944].start 8092.69034375
transcript.pyannote[944].end 8093.11221875
transcript.pyannote[945].speaker SPEAKER_22
transcript.pyannote[945].start 8093.11221875
transcript.pyannote[945].end 8093.97284375
transcript.pyannote[946].speaker SPEAKER_15
transcript.pyannote[946].start 8093.14596875
transcript.pyannote[946].end 8093.19659375
transcript.pyannote[947].speaker SPEAKER_19
transcript.pyannote[947].start 8093.19659375
transcript.pyannote[947].end 8093.33159375
transcript.pyannote[948].speaker SPEAKER_15
transcript.pyannote[948].start 8093.33159375
transcript.pyannote[948].end 8093.38221875
transcript.pyannote[949].speaker SPEAKER_15
transcript.pyannote[949].start 8093.97284375
transcript.pyannote[949].end 8094.02346875
transcript.pyannote[950].speaker SPEAKER_22
transcript.pyannote[950].start 8094.02346875
transcript.pyannote[950].end 8094.96846875
transcript.pyannote[951].speaker SPEAKER_15
transcript.pyannote[951].start 8094.96846875
transcript.pyannote[951].end 8109.02534375
transcript.pyannote[952].speaker SPEAKER_22
transcript.pyannote[952].start 8095.69409375
transcript.pyannote[952].end 8096.06534375
transcript.pyannote[953].speaker SPEAKER_27
transcript.pyannote[953].start 8107.48971875
transcript.pyannote[953].end 8107.86096875
transcript.pyannote[954].speaker SPEAKER_22
transcript.pyannote[954].start 8109.02534375
transcript.pyannote[954].end 8122.96409375
transcript.pyannote[955].speaker SPEAKER_15
transcript.pyannote[955].start 8122.96409375
transcript.pyannote[955].end 8136.07596875
transcript.pyannote[956].speaker SPEAKER_19
transcript.pyannote[956].start 8134.35471875
transcript.pyannote[956].end 8134.92846875
transcript.pyannote[957].speaker SPEAKER_19
transcript.pyannote[957].start 8135.89034375
transcript.pyannote[957].end 8136.02534375
transcript.pyannote[958].speaker SPEAKER_19
transcript.pyannote[958].start 8136.07596875
transcript.pyannote[958].end 8136.36284375
transcript.pyannote[959].speaker SPEAKER_19
transcript.pyannote[959].start 8136.53159375
transcript.pyannote[959].end 8197.26471875
transcript.pyannote[960].speaker SPEAKER_05
transcript.pyannote[960].start 8198.24346875
transcript.pyannote[960].end 8198.51346875
transcript.pyannote[961].speaker SPEAKER_19
transcript.pyannote[961].start 8198.51346875
transcript.pyannote[961].end 8200.36971875
transcript.pyannote[962].speaker SPEAKER_05
transcript.pyannote[962].start 8198.53034375
transcript.pyannote[962].end 8207.65971875
transcript.pyannote[963].speaker SPEAKER_23
transcript.pyannote[963].start 8207.65971875
transcript.pyannote[963].end 8207.67659375
transcript.pyannote[964].speaker SPEAKER_19
transcript.pyannote[964].start 8207.69346875
transcript.pyannote[964].end 8210.29221875
transcript.pyannote[965].speaker SPEAKER_23
transcript.pyannote[965].start 8209.81971875
transcript.pyannote[965].end 8219.57346875
transcript.pyannote[966].speaker SPEAKER_23
transcript.pyannote[966].start 8219.79284375
transcript.pyannote[966].end 8245.15596875
transcript.pyannote[967].speaker SPEAKER_19
transcript.pyannote[967].start 8243.78909375
transcript.pyannote[967].end 8244.21096875
transcript.pyannote[968].speaker SPEAKER_19
transcript.pyannote[968].start 8245.02096875
transcript.pyannote[968].end 8246.03346875
transcript.pyannote[969].speaker SPEAKER_19
transcript.pyannote[969].start 8246.48909375
transcript.pyannote[969].end 8252.74971875
transcript.pyannote[970].speaker SPEAKER_19
transcript.pyannote[970].start 8253.13784375
transcript.pyannote[970].end 8280.99846875
transcript.pyannote[971].speaker SPEAKER_19
transcript.pyannote[971].start 8281.21784375
transcript.pyannote[971].end 8329.68284375
transcript.pyannote[972].speaker SPEAKER_19
transcript.pyannote[972].start 8330.34096875
transcript.pyannote[972].end 8333.49659375
transcript.pyannote[973].speaker SPEAKER_09
transcript.pyannote[973].start 8334.52596875
transcript.pyannote[973].end 8338.27221875
transcript.pyannote[974].speaker SPEAKER_09
transcript.pyannote[974].start 8338.55909375
transcript.pyannote[974].end 8352.00846875
transcript.pyannote[975].speaker SPEAKER_09
transcript.pyannote[975].start 8352.29534375
transcript.pyannote[975].end 8360.46284375
transcript.pyannote[976].speaker SPEAKER_09
transcript.pyannote[976].start 8360.73284375
transcript.pyannote[976].end 8371.38096875
transcript.pyannote[977].speaker SPEAKER_27
transcript.pyannote[977].start 8365.27221875
transcript.pyannote[977].end 8365.49159375
transcript.pyannote[978].speaker SPEAKER_09
transcript.pyannote[978].start 8371.61721875
transcript.pyannote[978].end 8372.00534375
transcript.pyannote[979].speaker SPEAKER_09
transcript.pyannote[979].start 8373.16971875
transcript.pyannote[979].end 8373.45659375
transcript.pyannote[980].speaker SPEAKER_19
transcript.pyannote[980].start 8373.45659375
transcript.pyannote[980].end 8373.60846875
transcript.pyannote[981].speaker SPEAKER_09
transcript.pyannote[981].start 8373.60846875
transcript.pyannote[981].end 8374.72221875
transcript.pyannote[982].speaker SPEAKER_19
transcript.pyannote[982].start 8374.72221875
transcript.pyannote[982].end 8374.78971875
transcript.pyannote[983].speaker SPEAKER_05
transcript.pyannote[983].start 8374.78971875
transcript.pyannote[983].end 8374.89096875
transcript.pyannote[984].speaker SPEAKER_19
transcript.pyannote[984].start 8374.89096875
transcript.pyannote[984].end 8374.95846875
transcript.pyannote[985].speaker SPEAKER_05
transcript.pyannote[985].start 8375.16096875
transcript.pyannote[985].end 8380.91534375
transcript.pyannote[986].speaker SPEAKER_05
transcript.pyannote[986].start 8380.96596875
transcript.pyannote[986].end 8384.17221875
transcript.pyannote[987].speaker SPEAKER_05
transcript.pyannote[987].start 8384.47596875
transcript.pyannote[987].end 8403.39284375
transcript.pyannote[988].speaker SPEAKER_05
transcript.pyannote[988].start 8403.98346875
transcript.pyannote[988].end 8405.24909375
transcript.pyannote[989].speaker SPEAKER_19
transcript.pyannote[989].start 8405.29971875
transcript.pyannote[989].end 8407.45971875
transcript.pyannote[990].speaker SPEAKER_05
transcript.pyannote[990].start 8407.45971875
transcript.pyannote[990].end 8407.76346875
transcript.pyannote[991].speaker SPEAKER_05
transcript.pyannote[991].start 8408.43846875
transcript.pyannote[991].end 8408.97846875
transcript.pyannote[992].speaker SPEAKER_26
transcript.pyannote[992].start 8408.97846875
transcript.pyannote[992].end 8409.23159375
transcript.pyannote[993].speaker SPEAKER_26
transcript.pyannote[993].start 8411.35784375
transcript.pyannote[993].end 8416.20096875
transcript.pyannote[994].speaker SPEAKER_22
transcript.pyannote[994].start 8425.68471875
transcript.pyannote[994].end 8426.86596875
transcript.pyannote[995].speaker SPEAKER_22
transcript.pyannote[995].start 8427.25409375
transcript.pyannote[995].end 8428.24971875
transcript.pyannote[996].speaker SPEAKER_22
transcript.pyannote[996].start 8428.45221875
transcript.pyannote[996].end 8430.17346875
transcript.pyannote[997].speaker SPEAKER_22
transcript.pyannote[997].start 8430.83159375
transcript.pyannote[997].end 8432.67096875
transcript.pyannote[998].speaker SPEAKER_22
transcript.pyannote[998].start 8434.67909375
transcript.pyannote[998].end 8440.72034375
transcript.pyannote[999].speaker SPEAKER_22
transcript.pyannote[999].start 8441.19284375
transcript.pyannote[999].end 8443.55534375
transcript.pyannote[1000].speaker SPEAKER_22
transcript.pyannote[1000].start 8443.92659375
transcript.pyannote[1000].end 8444.66909375
transcript.pyannote[1001].speaker SPEAKER_22
transcript.pyannote[1001].start 8444.98971875
transcript.pyannote[1001].end 8446.93034375
transcript.pyannote[1002].speaker SPEAKER_22
transcript.pyannote[1002].start 8447.31846875
transcript.pyannote[1002].end 8448.31409375
transcript.pyannote[1003].speaker SPEAKER_22
transcript.pyannote[1003].start 8448.78659375
transcript.pyannote[1003].end 8450.03534375
transcript.pyannote[1004].speaker SPEAKER_22
transcript.pyannote[1004].start 8450.44034375
transcript.pyannote[1004].end 8468.49659375
transcript.pyannote[1005].speaker SPEAKER_22
transcript.pyannote[1005].start 8468.96909375
transcript.pyannote[1005].end 8473.55909375
transcript.pyannote[1006].speaker SPEAKER_22
transcript.pyannote[1006].start 8473.69409375
transcript.pyannote[1006].end 8480.81534375
transcript.pyannote[1007].speaker SPEAKER_22
transcript.pyannote[1007].start 8480.98409375
transcript.pyannote[1007].end 8487.95346875
transcript.pyannote[1008].speaker SPEAKER_22
transcript.pyannote[1008].start 8488.22346875
transcript.pyannote[1008].end 8489.67471875
transcript.pyannote[1009].speaker SPEAKER_22
transcript.pyannote[1009].start 8489.89409375
transcript.pyannote[1009].end 8502.98909375
transcript.pyannote[1010].speaker SPEAKER_22
transcript.pyannote[1010].start 8503.39409375
transcript.pyannote[1010].end 8507.76471875
transcript.pyannote[1011].speaker SPEAKER_22
transcript.pyannote[1011].start 8507.93346875
transcript.pyannote[1011].end 8509.33409375
transcript.pyannote[1012].speaker SPEAKER_22
transcript.pyannote[1012].start 8509.60409375
transcript.pyannote[1012].end 8513.83971875
transcript.pyannote[1013].speaker SPEAKER_22
transcript.pyannote[1013].start 8514.17721875
transcript.pyannote[1013].end 8531.20409375
transcript.pyannote[1014].speaker SPEAKER_22
transcript.pyannote[1014].start 8531.27159375
transcript.pyannote[1014].end 8537.71784375
transcript.pyannote[1015].speaker SPEAKER_22
transcript.pyannote[1015].start 8538.34221875
transcript.pyannote[1015].end 8568.31221875
transcript.pyannote[1016].speaker SPEAKER_22
transcript.pyannote[1016].start 8568.63284375
transcript.pyannote[1016].end 8575.65284375
transcript.pyannote[1017].speaker SPEAKER_22
transcript.pyannote[1017].start 8575.83846875
transcript.pyannote[1017].end 8583.49971875
transcript.pyannote[1018].speaker SPEAKER_22
transcript.pyannote[1018].start 8583.76971875
transcript.pyannote[1018].end 8587.41471875
transcript.pyannote[1019].speaker SPEAKER_22
transcript.pyannote[1019].start 8587.73534375
transcript.pyannote[1019].end 8590.48596875
transcript.pyannote[1020].speaker SPEAKER_22
transcript.pyannote[1020].start 8590.90784375
transcript.pyannote[1020].end 8592.49409375
transcript.pyannote[1021].speaker SPEAKER_22
transcript.pyannote[1021].start 8593.00034375
transcript.pyannote[1021].end 8594.01284375
transcript.pyannote[1022].speaker SPEAKER_22
transcript.pyannote[1022].start 8595.09284375
transcript.pyannote[1022].end 8643.43971875
transcript.pyannote[1023].speaker SPEAKER_22
transcript.pyannote[1023].start 8643.79409375
transcript.pyannote[1023].end 8646.69659375
transcript.pyannote[1024].speaker SPEAKER_22
transcript.pyannote[1024].start 8647.72596875
transcript.pyannote[1024].end 8650.93221875
transcript.pyannote[1025].speaker SPEAKER_22
transcript.pyannote[1025].start 8651.55659375
transcript.pyannote[1025].end 8664.21284375
transcript.pyannote[1026].speaker SPEAKER_22
transcript.pyannote[1026].start 8664.88784375
transcript.pyannote[1026].end 8669.57909375
transcript.pyannote[1027].speaker SPEAKER_22
transcript.pyannote[1027].start 8670.32159375
transcript.pyannote[1027].end 8674.33784375
transcript.pyannote[1028].speaker SPEAKER_22
transcript.pyannote[1028].start 8675.53596875
transcript.pyannote[1028].end 8697.43971875
transcript.pyannote[1029].speaker SPEAKER_22
transcript.pyannote[1029].start 8698.57034375
transcript.pyannote[1029].end 8704.42596875
transcript.pyannote[1030].speaker SPEAKER_22
transcript.pyannote[1030].start 8704.71284375
transcript.pyannote[1030].end 8757.37971875
transcript.pyannote[1031].speaker SPEAKER_22
transcript.pyannote[1031].start 8757.75096875
transcript.pyannote[1031].end 8758.49346875
transcript.pyannote[1032].speaker SPEAKER_22
transcript.pyannote[1032].start 8758.71284375
transcript.pyannote[1032].end 8769.34409375
transcript.pyannote[1033].speaker SPEAKER_22
transcript.pyannote[1033].start 8769.71534375
transcript.pyannote[1033].end 8833.70534375
transcript.pyannote[1034].speaker SPEAKER_22
transcript.pyannote[1034].start 8834.12721875
transcript.pyannote[1034].end 8873.05784375
transcript.pyannote[1035].speaker SPEAKER_22
transcript.pyannote[1035].start 8873.44596875
transcript.pyannote[1035].end 8877.27659375
transcript.pyannote[1036].speaker SPEAKER_22
transcript.pyannote[1036].start 8877.66471875
transcript.pyannote[1036].end 8884.60034375
transcript.pyannote[1037].speaker SPEAKER_22
transcript.pyannote[1037].start 8885.30909375
transcript.pyannote[1037].end 8986.60971875
transcript.pyannote[1038].speaker SPEAKER_22
transcript.pyannote[1038].start 8987.30159375
transcript.pyannote[1038].end 8987.65596875
transcript.pyannote[1039].speaker SPEAKER_22
transcript.pyannote[1039].start 8988.11159375
transcript.pyannote[1039].end 8993.91659375
transcript.pyannote[1040].speaker SPEAKER_22
transcript.pyannote[1040].start 8994.45659375
transcript.pyannote[1040].end 9000.81846875
transcript.pyannote[1041].speaker SPEAKER_22
transcript.pyannote[1041].start 9000.90284375
transcript.pyannote[1041].end 9001.47659375
transcript.pyannote[1042].speaker SPEAKER_22
transcript.pyannote[1042].start 9001.99971875
transcript.pyannote[1042].end 9017.84534375
transcript.pyannote[1043].speaker SPEAKER_22
transcript.pyannote[1043].start 9018.08159375
transcript.pyannote[1043].end 9021.28784375
transcript.pyannote[1044].speaker SPEAKER_22
transcript.pyannote[1044].start 9021.92909375
transcript.pyannote[1044].end 9032.23971875
transcript.pyannote[1045].speaker SPEAKER_22
transcript.pyannote[1045].start 9033.21846875
transcript.pyannote[1045].end 9056.28659375
transcript.pyannote[1046].speaker SPEAKER_22
transcript.pyannote[1046].start 9056.64096875
transcript.pyannote[1046].end 9068.35221875
transcript.pyannote[1047].speaker SPEAKER_22
transcript.pyannote[1047].start 9068.65596875
transcript.pyannote[1047].end 9076.04721875
transcript.pyannote[1048].speaker SPEAKER_22
transcript.pyannote[1048].start 9076.77284375
transcript.pyannote[1048].end 9078.25784375
transcript.pyannote[1049].speaker SPEAKER_22
transcript.pyannote[1049].start 9078.57846875
transcript.pyannote[1049].end 9082.25721875
transcript.pyannote[1050].speaker SPEAKER_22
transcript.pyannote[1050].start 9082.76346875
transcript.pyannote[1050].end 9085.05846875
transcript.pyannote[1051].speaker SPEAKER_22
transcript.pyannote[1051].start 9085.76721875
transcript.pyannote[1051].end 9089.86784375
transcript.pyannote[1052].speaker SPEAKER_05
transcript.pyannote[1052].start 9090.64409375
transcript.pyannote[1052].end 9091.09971875
transcript.pyannote[1053].speaker SPEAKER_05
transcript.pyannote[1053].start 9091.35284375
transcript.pyannote[1053].end 9095.92596875
transcript.pyannote[1054].speaker SPEAKER_22
transcript.pyannote[1054].start 9094.98096875
transcript.pyannote[1054].end 9097.36034375
transcript.pyannote[1055].speaker SPEAKER_22
transcript.pyannote[1055].start 9097.84971875
transcript.pyannote[1055].end 9111.29909375
transcript.pyannote[1056].speaker SPEAKER_22
transcript.pyannote[1056].start 9111.77159375
transcript.pyannote[1056].end 9113.15534375
transcript.pyannote[1057].speaker SPEAKER_22
transcript.pyannote[1057].start 9113.37471875
transcript.pyannote[1057].end 9115.07909375
transcript.pyannote[1058].speaker SPEAKER_22
transcript.pyannote[1058].start 9115.51784375
transcript.pyannote[1058].end 9118.30221875
transcript.pyannote[1059].speaker SPEAKER_22
transcript.pyannote[1059].start 9118.80846875
transcript.pyannote[1059].end 9125.13659375
transcript.pyannote[1060].speaker SPEAKER_22
transcript.pyannote[1060].start 9125.74409375
transcript.pyannote[1060].end 9144.69471875
transcript.pyannote[1061].speaker SPEAKER_22
transcript.pyannote[1061].start 9145.75784375
transcript.pyannote[1061].end 9155.47784375
transcript.pyannote[1062].speaker SPEAKER_05
transcript.pyannote[1062].start 9155.56221875
transcript.pyannote[1062].end 9156.82784375
transcript.pyannote[1063].speaker SPEAKER_22
transcript.pyannote[1063].start 9156.67596875
transcript.pyannote[1063].end 9157.65471875
transcript.pyannote[1064].speaker SPEAKER_22
transcript.pyannote[1064].start 9158.11034375
transcript.pyannote[1064].end 9159.61221875
transcript.pyannote[1065].speaker SPEAKER_22
transcript.pyannote[1065].start 9160.35471875
transcript.pyannote[1065].end 9163.18971875
transcript.pyannote[1066].speaker SPEAKER_22
transcript.pyannote[1066].start 9163.20659375
transcript.pyannote[1066].end 9163.22346875
transcript.pyannote[1067].speaker SPEAKER_19
transcript.pyannote[1067].start 9163.22346875
transcript.pyannote[1067].end 9164.10096875
transcript.pyannote[1068].speaker SPEAKER_15
transcript.pyannote[1068].start 9164.10096875
transcript.pyannote[1068].end 9164.11784375
transcript.pyannote[1069].speaker SPEAKER_22
transcript.pyannote[1069].start 9164.11784375
transcript.pyannote[1069].end 9167.96534375
transcript.pyannote[1070].speaker SPEAKER_15
transcript.pyannote[1070].start 9167.96534375
transcript.pyannote[1070].end 9173.02784375
transcript.pyannote[1071].speaker SPEAKER_15
transcript.pyannote[1071].start 9173.46659375
transcript.pyannote[1071].end 9173.50034375
transcript.pyannote[1072].speaker SPEAKER_22
transcript.pyannote[1072].start 9173.50034375
transcript.pyannote[1072].end 9180.03096875
transcript.pyannote[1073].speaker SPEAKER_15
transcript.pyannote[1073].start 9176.14971875
transcript.pyannote[1073].end 9177.09471875
transcript.pyannote[1074].speaker SPEAKER_15
transcript.pyannote[1074].start 9179.89596875
transcript.pyannote[1074].end 9181.65096875
transcript.pyannote[1075].speaker SPEAKER_22
transcript.pyannote[1075].start 9181.26284375
transcript.pyannote[1075].end 9185.80221875
transcript.pyannote[1076].speaker SPEAKER_22
transcript.pyannote[1076].start 9186.35909375
transcript.pyannote[1076].end 9187.52346875
transcript.pyannote[1077].speaker SPEAKER_22
transcript.pyannote[1077].start 9189.26159375
transcript.pyannote[1077].end 9190.59471875
transcript.pyannote[1078].speaker SPEAKER_03
transcript.pyannote[1078].start 9190.59471875
transcript.pyannote[1078].end 9190.61159375
transcript.pyannote[1079].speaker SPEAKER_03
transcript.pyannote[1079].start 9190.84784375
transcript.pyannote[1079].end 9201.52971875
transcript.pyannote[1080].speaker SPEAKER_03
transcript.pyannote[1080].start 9202.01909375
transcript.pyannote[1080].end 9209.69721875
transcript.pyannote[1081].speaker SPEAKER_03
transcript.pyannote[1081].start 9209.95034375
transcript.pyannote[1081].end 9212.76846875
transcript.pyannote[1082].speaker SPEAKER_03
transcript.pyannote[1082].start 9213.19034375
transcript.pyannote[1082].end 9214.11846875
transcript.pyannote[1083].speaker SPEAKER_03
transcript.pyannote[1083].start 9214.16909375
transcript.pyannote[1083].end 9214.37159375
transcript.pyannote[1084].speaker SPEAKER_22
transcript.pyannote[1084].start 9214.37159375
transcript.pyannote[1084].end 9214.99596875
transcript.pyannote[1085].speaker SPEAKER_03
transcript.pyannote[1085].start 9215.48534375
transcript.pyannote[1085].end 9218.37096875
transcript.pyannote[1086].speaker SPEAKER_03
transcript.pyannote[1086].start 9218.69159375
transcript.pyannote[1086].end 9223.88909375
transcript.pyannote[1087].speaker SPEAKER_22
transcript.pyannote[1087].start 9224.42909375
transcript.pyannote[1087].end 9245.86034375
transcript.pyannote[1088].speaker SPEAKER_03
transcript.pyannote[1088].start 9227.93909375
transcript.pyannote[1088].end 9228.64784375
transcript.pyannote[1089].speaker SPEAKER_22
transcript.pyannote[1089].start 9246.33284375
transcript.pyannote[1089].end 9274.12596875
transcript.pyannote[1090].speaker SPEAKER_22
transcript.pyannote[1090].start 9274.41284375
transcript.pyannote[1090].end 9348.29159375
transcript.pyannote[1091].speaker SPEAKER_22
transcript.pyannote[1091].start 9348.39284375
transcript.pyannote[1091].end 9370.44846875
transcript.pyannote[1092].speaker SPEAKER_22
transcript.pyannote[1092].start 9370.75221875
transcript.pyannote[1092].end 9387.66096875
transcript.pyannote[1093].speaker SPEAKER_22
transcript.pyannote[1093].start 9388.01534375
transcript.pyannote[1093].end 9453.38909375
transcript.pyannote[1094].speaker SPEAKER_22
transcript.pyannote[1094].start 9453.84471875
transcript.pyannote[1094].end 9455.09346875
transcript.pyannote[1095].speaker SPEAKER_22
transcript.pyannote[1095].start 9455.32971875
transcript.pyannote[1095].end 9458.11409375
transcript.pyannote[1096].speaker SPEAKER_05
transcript.pyannote[1096].start 9458.92409375
transcript.pyannote[1096].end 9463.10909375
transcript.pyannote[1097].speaker SPEAKER_22
transcript.pyannote[1097].start 9463.02471875
transcript.pyannote[1097].end 9465.04971875
transcript.pyannote[1098].speaker SPEAKER_22
transcript.pyannote[1098].start 9467.73284375
transcript.pyannote[1098].end 9478.02659375
transcript.pyannote[1099].speaker SPEAKER_22
transcript.pyannote[1099].start 9478.34721875
transcript.pyannote[1099].end 9480.64221875
transcript.pyannote[1100].speaker SPEAKER_22
transcript.pyannote[1100].start 9481.58721875
transcript.pyannote[1100].end 9494.68221875
transcript.pyannote[1101].speaker SPEAKER_22
transcript.pyannote[1101].start 9495.72846875
transcript.pyannote[1101].end 9500.68971875
transcript.pyannote[1102].speaker SPEAKER_03
transcript.pyannote[1102].start 9501.36471875
transcript.pyannote[1102].end 9503.55846875
transcript.pyannote[1103].speaker SPEAKER_22
transcript.pyannote[1103].start 9503.76096875
transcript.pyannote[1103].end 9504.94221875
transcript.pyannote[1104].speaker SPEAKER_03
transcript.pyannote[1104].start 9505.44846875
transcript.pyannote[1104].end 9506.71409375
transcript.pyannote[1105].speaker SPEAKER_22
transcript.pyannote[1105].start 9506.37659375
transcript.pyannote[1105].end 9510.20721875
transcript.pyannote[1106].speaker SPEAKER_03
transcript.pyannote[1106].start 9510.37596875
transcript.pyannote[1106].end 9513.97034375
transcript.pyannote[1107].speaker SPEAKER_22
transcript.pyannote[1107].start 9513.29534375
transcript.pyannote[1107].end 9518.98221875
transcript.pyannote[1108].speaker SPEAKER_03
transcript.pyannote[1108].start 9519.67409375
transcript.pyannote[1108].end 9521.32784375
transcript.pyannote[1109].speaker SPEAKER_22
transcript.pyannote[1109].start 9520.70346875
transcript.pyannote[1109].end 9522.01971875
transcript.pyannote[1110].speaker SPEAKER_03
transcript.pyannote[1110].start 9522.67784375
transcript.pyannote[1110].end 9526.28909375
transcript.pyannote[1111].speaker SPEAKER_22
transcript.pyannote[1111].start 9524.07846875
transcript.pyannote[1111].end 9524.34846875
transcript.pyannote[1112].speaker SPEAKER_22
transcript.pyannote[1112].start 9526.67721875
transcript.pyannote[1112].end 9528.33096875
transcript.pyannote[1113].speaker SPEAKER_22
transcript.pyannote[1113].start 9528.83721875
transcript.pyannote[1113].end 9533.76471875
transcript.pyannote[1114].speaker SPEAKER_03
transcript.pyannote[1114].start 9534.37221875
transcript.pyannote[1114].end 9536.32971875
transcript.pyannote[1115].speaker SPEAKER_22
transcript.pyannote[1115].start 9537.05534375
transcript.pyannote[1115].end 9539.89034375
transcript.pyannote[1116].speaker SPEAKER_22
transcript.pyannote[1116].start 9541.40909375
transcript.pyannote[1116].end 9544.42971875
transcript.pyannote[1117].speaker SPEAKER_22
transcript.pyannote[1117].start 9545.27346875
transcript.pyannote[1117].end 9548.51346875
transcript.pyannote[1118].speaker SPEAKER_05
transcript.pyannote[1118].start 9548.41221875
transcript.pyannote[1118].end 9551.28096875
transcript.pyannote[1119].speaker SPEAKER_05
transcript.pyannote[1119].start 9551.80409375
transcript.pyannote[1119].end 9553.18784375
transcript.pyannote[1120].speaker SPEAKER_22
transcript.pyannote[1120].start 9553.64346875
transcript.pyannote[1120].end 9554.40284375
transcript.pyannote[1121].speaker SPEAKER_22
transcript.pyannote[1121].start 9554.99346875
transcript.pyannote[1121].end 9557.52471875
transcript.pyannote[1122].speaker SPEAKER_22
transcript.pyannote[1122].start 9557.86221875
transcript.pyannote[1122].end 9569.75909375
transcript.pyannote[1123].speaker SPEAKER_22
transcript.pyannote[1123].start 9569.97846875
transcript.pyannote[1123].end 9579.59721875
transcript.pyannote[1124].speaker SPEAKER_22
transcript.pyannote[1124].start 9580.67721875
transcript.pyannote[1124].end 9581.77409375
transcript.pyannote[1125].speaker SPEAKER_05
transcript.pyannote[1125].start 9581.89221875
transcript.pyannote[1125].end 9584.84534375
transcript.pyannote[1126].speaker SPEAKER_22
transcript.pyannote[1126].start 9584.65971875
transcript.pyannote[1126].end 9585.67221875
transcript.pyannote[1127].speaker SPEAKER_05
transcript.pyannote[1127].start 9586.22909375
transcript.pyannote[1127].end 9587.79846875
transcript.pyannote[1128].speaker SPEAKER_22
transcript.pyannote[1128].start 9588.15284375
transcript.pyannote[1128].end 9589.45221875
transcript.pyannote[1129].speaker SPEAKER_22
transcript.pyannote[1129].start 9589.99221875
transcript.pyannote[1129].end 9591.74721875
transcript.pyannote[1130].speaker SPEAKER_05
transcript.pyannote[1130].start 9591.74721875
transcript.pyannote[1130].end 9593.68784375
transcript.pyannote[1131].speaker SPEAKER_22
transcript.pyannote[1131].start 9593.23221875
transcript.pyannote[1131].end 9604.43721875
transcript.pyannote[1132].speaker SPEAKER_05
transcript.pyannote[1132].start 9602.02409375
transcript.pyannote[1132].end 9602.14221875
transcript.pyannote[1133].speaker SPEAKER_05
transcript.pyannote[1133].start 9603.71159375
transcript.pyannote[1133].end 9608.84159375
transcript.pyannote[1134].speaker SPEAKER_22
transcript.pyannote[1134].start 9607.98096875
transcript.pyannote[1134].end 9610.00596875
transcript.pyannote[1135].speaker SPEAKER_05
transcript.pyannote[1135].start 9610.00596875
transcript.pyannote[1135].end 9610.49534375
transcript.pyannote[1136].speaker SPEAKER_22
transcript.pyannote[1136].start 9610.22534375
transcript.pyannote[1136].end 9615.10221875
transcript.pyannote[1137].speaker SPEAKER_05
transcript.pyannote[1137].start 9613.98846875
transcript.pyannote[1137].end 9618.64596875
transcript.pyannote[1138].speaker SPEAKER_22
transcript.pyannote[1138].start 9618.86534375
transcript.pyannote[1138].end 9620.06346875
transcript.pyannote[1139].speaker SPEAKER_26
transcript.pyannote[1139].start 9620.06346875
transcript.pyannote[1139].end 9621.64971875
transcript.pyannote[1140].speaker SPEAKER_26
transcript.pyannote[1140].start 9622.10534375
transcript.pyannote[1140].end 9625.56471875
transcript.pyannote[1141].speaker SPEAKER_26
transcript.pyannote[1141].start 9626.40846875
transcript.pyannote[1141].end 9634.94721875
transcript.pyannote[1142].speaker SPEAKER_26
transcript.pyannote[1142].start 9635.23409375
transcript.pyannote[1142].end 9635.55471875
transcript.pyannote[1143].speaker SPEAKER_30
transcript.pyannote[1143].start 9639.62159375
transcript.pyannote[1143].end 9641.44409375
transcript.pyannote[1144].speaker SPEAKER_30
transcript.pyannote[1144].start 9642.59159375
transcript.pyannote[1144].end 9643.33409375
transcript.pyannote[1145].speaker SPEAKER_30
transcript.pyannote[1145].start 9648.53159375
transcript.pyannote[1145].end 9665.74409375
transcript.pyannote[1146].speaker SPEAKER_30
transcript.pyannote[1146].start 9666.18284375
transcript.pyannote[1146].end 9667.97159375
transcript.pyannote[1147].speaker SPEAKER_05
transcript.pyannote[1147].start 9667.97159375
transcript.pyannote[1147].end 9670.75596875
transcript.pyannote[1148].speaker SPEAKER_30
transcript.pyannote[1148].start 9669.49034375
transcript.pyannote[1148].end 9670.84034375
transcript.pyannote[1149].speaker SPEAKER_05
transcript.pyannote[1149].start 9670.84034375
transcript.pyannote[1149].end 9670.89096875
transcript.pyannote[1150].speaker SPEAKER_30
transcript.pyannote[1150].start 9670.89096875
transcript.pyannote[1150].end 9670.94159375
transcript.pyannote[1151].speaker SPEAKER_05
transcript.pyannote[1151].start 9670.94159375
transcript.pyannote[1151].end 9674.16471875
transcript.pyannote[1152].speaker SPEAKER_30
transcript.pyannote[1152].start 9671.02596875
transcript.pyannote[1152].end 9673.11846875
transcript.pyannote[1153].speaker SPEAKER_30
transcript.pyannote[1153].start 9674.16471875
transcript.pyannote[1153].end 9674.18159375
transcript.pyannote[1154].speaker SPEAKER_05
transcript.pyannote[1154].start 9674.18159375
transcript.pyannote[1154].end 9674.19846875
transcript.pyannote[1155].speaker SPEAKER_30
transcript.pyannote[1155].start 9674.19846875
transcript.pyannote[1155].end 9674.21534375
transcript.pyannote[1156].speaker SPEAKER_05
transcript.pyannote[1156].start 9674.21534375
transcript.pyannote[1156].end 9674.26596875
transcript.pyannote[1157].speaker SPEAKER_30
transcript.pyannote[1157].start 9674.26596875
transcript.pyannote[1157].end 9709.97346875
transcript.pyannote[1158].speaker SPEAKER_05
transcript.pyannote[1158].start 9677.47221875
transcript.pyannote[1158].end 9677.53971875
transcript.pyannote[1159].speaker SPEAKER_05
transcript.pyannote[1159].start 9709.97346875
transcript.pyannote[1159].end 9710.02409375
transcript.pyannote[1160].speaker SPEAKER_30
transcript.pyannote[1160].start 9710.02409375
transcript.pyannote[1160].end 9710.96909375
transcript.pyannote[1161].speaker SPEAKER_05
transcript.pyannote[1161].start 9710.96909375
transcript.pyannote[1161].end 9711.03659375
transcript.pyannote[1162].speaker SPEAKER_30
transcript.pyannote[1162].start 9711.03659375
transcript.pyannote[1162].end 9711.96471875
transcript.pyannote[1163].speaker SPEAKER_05
transcript.pyannote[1163].start 9711.96471875
transcript.pyannote[1163].end 9712.03221875
transcript.pyannote[1164].speaker SPEAKER_30
transcript.pyannote[1164].start 9712.03221875
transcript.pyannote[1164].end 9745.95096875
transcript.pyannote[1165].speaker SPEAKER_05
transcript.pyannote[1165].start 9712.16721875
transcript.pyannote[1165].end 9713.24721875
transcript.pyannote[1166].speaker SPEAKER_05
transcript.pyannote[1166].start 9713.66909375
transcript.pyannote[1166].end 9714.12471875
transcript.pyannote[1167].speaker SPEAKER_05
transcript.pyannote[1167].start 9716.16659375
transcript.pyannote[1167].end 9717.36471875
transcript.pyannote[1168].speaker SPEAKER_30
transcript.pyannote[1168].start 9746.71034375
transcript.pyannote[1168].end 9788.64471875
transcript.pyannote[1169].speaker SPEAKER_30
transcript.pyannote[1169].start 9789.04971875
transcript.pyannote[1169].end 9793.67346875
transcript.pyannote[1170].speaker SPEAKER_30
transcript.pyannote[1170].start 9794.19659375
transcript.pyannote[1170].end 9817.88909375
transcript.pyannote[1171].speaker SPEAKER_30
transcript.pyannote[1171].start 9818.05784375
transcript.pyannote[1171].end 9827.25471875
transcript.pyannote[1172].speaker SPEAKER_30
transcript.pyannote[1172].start 9827.69346875
transcript.pyannote[1172].end 9852.43221875
transcript.pyannote[1173].speaker SPEAKER_30
transcript.pyannote[1173].start 9852.88784375
transcript.pyannote[1173].end 9889.96221875
transcript.pyannote[1174].speaker SPEAKER_05
transcript.pyannote[1174].start 9889.96221875
transcript.pyannote[1174].end 9908.03534375
transcript.pyannote[1175].speaker SPEAKER_30
transcript.pyannote[1175].start 9908.03534375
transcript.pyannote[1175].end 9919.96596875
transcript.pyannote[1176].speaker SPEAKER_24
transcript.pyannote[1176].start 9916.69221875
transcript.pyannote[1176].end 9916.86096875
transcript.pyannote[1177].speaker SPEAKER_05
transcript.pyannote[1177].start 9916.86096875
transcript.pyannote[1177].end 9916.89471875
transcript.pyannote[1178].speaker SPEAKER_05
transcript.pyannote[1178].start 9919.96596875
transcript.pyannote[1178].end 9922.88534375
transcript.pyannote[1179].speaker SPEAKER_05
transcript.pyannote[1179].start 9923.72909375
transcript.pyannote[1179].end 9936.95909375
transcript.pyannote[1180].speaker SPEAKER_30
transcript.pyannote[1180].start 9936.58784375
transcript.pyannote[1180].end 9936.63846875
transcript.pyannote[1181].speaker SPEAKER_05
transcript.pyannote[1181].start 9937.44846875
transcript.pyannote[1181].end 9940.31721875
transcript.pyannote[1182].speaker SPEAKER_30
transcript.pyannote[1182].start 9937.51596875
transcript.pyannote[1182].end 9958.96409375
transcript.pyannote[1183].speaker SPEAKER_05
transcript.pyannote[1183].start 9957.71534375
transcript.pyannote[1183].end 9958.42409375
transcript.pyannote[1184].speaker SPEAKER_05
transcript.pyannote[1184].start 9958.96409375
transcript.pyannote[1184].end 9959.03159375
transcript.pyannote[1185].speaker SPEAKER_30
transcript.pyannote[1185].start 9959.03159375
transcript.pyannote[1185].end 9959.97659375
transcript.pyannote[1186].speaker SPEAKER_05
transcript.pyannote[1186].start 9959.97659375
transcript.pyannote[1186].end 9960.02721875
transcript.pyannote[1187].speaker SPEAKER_30
transcript.pyannote[1187].start 9960.02721875
transcript.pyannote[1187].end 9960.97221875
transcript.pyannote[1188].speaker SPEAKER_05
transcript.pyannote[1188].start 9960.97221875
transcript.pyannote[1188].end 9961.02284375
transcript.pyannote[1189].speaker SPEAKER_30
transcript.pyannote[1189].start 9961.02284375
transcript.pyannote[1189].end 9961.96784375
transcript.pyannote[1190].speaker SPEAKER_05
transcript.pyannote[1190].start 9961.96784375
transcript.pyannote[1190].end 9962.03534375
transcript.pyannote[1191].speaker SPEAKER_30
transcript.pyannote[1191].start 9962.03534375
transcript.pyannote[1191].end 9962.65971875
transcript.pyannote[1192].speaker SPEAKER_05
transcript.pyannote[1192].start 9962.65971875
transcript.pyannote[1192].end 9962.67659375
transcript.pyannote[1193].speaker SPEAKER_30
transcript.pyannote[1193].start 9962.67659375
transcript.pyannote[1193].end 9962.69346875
transcript.pyannote[1194].speaker SPEAKER_05
transcript.pyannote[1194].start 9962.94659375
transcript.pyannote[1194].end 9962.96346875
transcript.pyannote[1195].speaker SPEAKER_30
transcript.pyannote[1195].start 9962.96346875
transcript.pyannote[1195].end 9996.44346875
transcript.pyannote[1196].speaker SPEAKER_05
transcript.pyannote[1196].start 9963.03096875
transcript.pyannote[1196].end 9963.04784375
transcript.pyannote[1197].speaker SPEAKER_05
transcript.pyannote[1197].start 9963.08159375
transcript.pyannote[1197].end 9963.11534375
transcript.pyannote[1198].speaker SPEAKER_06
transcript.pyannote[1198].start 9963.11534375
transcript.pyannote[1198].end 9963.94221875
transcript.pyannote[1199].speaker SPEAKER_05
transcript.pyannote[1199].start 9963.94221875
transcript.pyannote[1199].end 9963.95909375
transcript.pyannote[1200].speaker SPEAKER_00
transcript.pyannote[1200].start 9983.60159375
transcript.pyannote[1200].end 9984.19221875
transcript.pyannote[1201].speaker SPEAKER_28
transcript.pyannote[1201].start 9984.19221875
transcript.pyannote[1201].end 9984.81659375
transcript.pyannote[1202].speaker SPEAKER_00
transcript.pyannote[1202].start 9985.57596875
transcript.pyannote[1202].end 9985.71096875
transcript.pyannote[1203].speaker SPEAKER_05
transcript.pyannote[1203].start 9996.44346875
transcript.pyannote[1203].end 10031.03721875
transcript.pyannote[1204].speaker SPEAKER_12
transcript.pyannote[1204].start 10006.51784375
transcript.pyannote[1204].end 10006.53471875
transcript.pyannote[1205].speaker SPEAKER_27
transcript.pyannote[1205].start 10006.53471875
transcript.pyannote[1205].end 10006.56846875
transcript.pyannote[1206].speaker SPEAKER_30
transcript.pyannote[1206].start 10006.56846875
transcript.pyannote[1206].end 10006.77096875
transcript.pyannote[1207].speaker SPEAKER_30
transcript.pyannote[1207].start 10031.03721875
transcript.pyannote[1207].end 10069.25909375
transcript.pyannote[1208].speaker SPEAKER_27
transcript.pyannote[1208].start 10038.73221875
transcript.pyannote[1208].end 10038.96846875
transcript.pyannote[1209].speaker SPEAKER_00
transcript.pyannote[1209].start 10038.96846875
transcript.pyannote[1209].end 10039.74471875
transcript.pyannote[1210].speaker SPEAKER_00
transcript.pyannote[1210].start 10040.63909375
transcript.pyannote[1210].end 10041.28034375
transcript.pyannote[1211].speaker SPEAKER_12
transcript.pyannote[1211].start 10067.14971875
transcript.pyannote[1211].end 10067.18346875
transcript.pyannote[1212].speaker SPEAKER_30
transcript.pyannote[1212].start 10069.34346875
transcript.pyannote[1212].end 10073.41034375
transcript.pyannote[1213].speaker SPEAKER_30
transcript.pyannote[1213].start 10074.11909375
transcript.pyannote[1213].end 10090.63971875
transcript.pyannote[1214].speaker SPEAKER_01
transcript.pyannote[1214].start 10078.48971875
transcript.pyannote[1214].end 10078.54034375
transcript.pyannote[1215].speaker SPEAKER_05
transcript.pyannote[1215].start 10089.12096875
transcript.pyannote[1215].end 10099.11096875
transcript.pyannote[1216].speaker SPEAKER_30
transcript.pyannote[1216].start 10096.93409375
transcript.pyannote[1216].end 10106.62034375
transcript.pyannote[1217].speaker SPEAKER_30
transcript.pyannote[1217].start 10107.29534375
transcript.pyannote[1217].end 10112.39159375
transcript.pyannote[1218].speaker SPEAKER_12
transcript.pyannote[1218].start 10110.46784375
transcript.pyannote[1218].end 10111.66596875
transcript.pyannote[1219].speaker SPEAKER_27
transcript.pyannote[1219].start 10111.66596875
transcript.pyannote[1219].end 10112.34096875
transcript.pyannote[1220].speaker SPEAKER_30
transcript.pyannote[1220].start 10112.81346875
transcript.pyannote[1220].end 10138.56471875
transcript.pyannote[1221].speaker SPEAKER_27
transcript.pyannote[1221].start 10112.89784375
transcript.pyannote[1221].end 10113.48846875
transcript.pyannote[1222].speaker SPEAKER_05
transcript.pyannote[1222].start 10113.48846875
transcript.pyannote[1222].end 10113.75846875
transcript.pyannote[1223].speaker SPEAKER_27
transcript.pyannote[1223].start 10113.75846875
transcript.pyannote[1223].end 10113.97784375
transcript.pyannote[1224].speaker SPEAKER_32
transcript.pyannote[1224].start 10113.97784375
transcript.pyannote[1224].end 10114.06221875
transcript.pyannote[1225].speaker SPEAKER_05
transcript.pyannote[1225].start 10114.06221875
transcript.pyannote[1225].end 10114.60221875
transcript.pyannote[1226].speaker SPEAKER_12
transcript.pyannote[1226].start 10137.34971875
transcript.pyannote[1226].end 10137.97409375
transcript.pyannote[1227].speaker SPEAKER_30
transcript.pyannote[1227].start 10138.63221875
transcript.pyannote[1227].end 10166.74596875
transcript.pyannote[1228].speaker SPEAKER_30
transcript.pyannote[1228].start 10167.18471875
transcript.pyannote[1228].end 10170.01971875
transcript.pyannote[1229].speaker SPEAKER_30
transcript.pyannote[1229].start 10170.32346875
transcript.pyannote[1229].end 10249.63596875
transcript.pyannote[1230].speaker SPEAKER_12
transcript.pyannote[1230].start 10187.72159375
transcript.pyannote[1230].end 10188.07596875
transcript.pyannote[1231].speaker SPEAKER_00
transcript.pyannote[1231].start 10219.51409375
transcript.pyannote[1231].end 10219.88534375
transcript.pyannote[1232].speaker SPEAKER_02
transcript.pyannote[1232].start 10237.84034375
transcript.pyannote[1232].end 10238.12721875
transcript.pyannote[1233].speaker SPEAKER_05
transcript.pyannote[1233].start 10247.96534375
transcript.pyannote[1233].end 10248.43784375
transcript.pyannote[1234].speaker SPEAKER_05
transcript.pyannote[1234].start 10249.16346875
transcript.pyannote[1234].end 10261.61721875
transcript.pyannote[1235].speaker SPEAKER_30
transcript.pyannote[1235].start 10260.04784375
transcript.pyannote[1235].end 10270.81409375
transcript.pyannote[1236].speaker SPEAKER_05
transcript.pyannote[1236].start 10270.20659375
transcript.pyannote[1236].end 10276.66971875
transcript.pyannote[1237].speaker SPEAKER_30
transcript.pyannote[1237].start 10276.31534375
transcript.pyannote[1237].end 10279.31909375
transcript.pyannote[1238].speaker SPEAKER_05
transcript.pyannote[1238].start 10279.31909375
transcript.pyannote[1238].end 10280.01096875
transcript.pyannote[1239].speaker SPEAKER_05
transcript.pyannote[1239].start 10280.16284375
transcript.pyannote[1239].end 10289.03909375
transcript.pyannote[1240].speaker SPEAKER_30
transcript.pyannote[1240].start 10282.64346875
transcript.pyannote[1240].end 10282.89659375
transcript.pyannote[1241].speaker SPEAKER_30
transcript.pyannote[1241].start 10289.03909375
transcript.pyannote[1241].end 10289.20784375
transcript.pyannote[1242].speaker SPEAKER_05
transcript.pyannote[1242].start 10289.20784375
transcript.pyannote[1242].end 10289.35971875
transcript.pyannote[1243].speaker SPEAKER_30
transcript.pyannote[1243].start 10289.35971875
transcript.pyannote[1243].end 10308.93471875
transcript.pyannote[1244].speaker SPEAKER_05
transcript.pyannote[1244].start 10290.28784375
transcript.pyannote[1244].end 10291.23284375
transcript.pyannote[1245].speaker SPEAKER_05
transcript.pyannote[1245].start 10291.28346875
transcript.pyannote[1245].end 10292.22846875
transcript.pyannote[1246].speaker SPEAKER_02
transcript.pyannote[1246].start 10292.22846875
transcript.pyannote[1246].end 10292.24534375
transcript.pyannote[1247].speaker SPEAKER_05
transcript.pyannote[1247].start 10293.69659375
transcript.pyannote[1247].end 10294.35471875
transcript.pyannote[1248].speaker SPEAKER_05
transcript.pyannote[1248].start 10295.94096875
transcript.pyannote[1248].end 10296.48096875
transcript.pyannote[1249].speaker SPEAKER_05
transcript.pyannote[1249].start 10299.11346875
transcript.pyannote[1249].end 10299.68721875
transcript.pyannote[1250].speaker SPEAKER_05
transcript.pyannote[1250].start 10300.88534375
transcript.pyannote[1250].end 10301.47596875
transcript.pyannote[1251].speaker SPEAKER_05
transcript.pyannote[1251].start 10305.34034375
transcript.pyannote[1251].end 10306.36971875
transcript.pyannote[1252].speaker SPEAKER_26
transcript.pyannote[1252].start 10306.36971875
transcript.pyannote[1252].end 10306.45409375
transcript.pyannote[1253].speaker SPEAKER_26
transcript.pyannote[1253].start 10311.09471875
transcript.pyannote[1253].end 10316.35971875
transcript.pyannote[1254].speaker SPEAKER_11
transcript.pyannote[1254].start 10324.47659375
transcript.pyannote[1254].end 10325.37096875
transcript.pyannote[1255].speaker SPEAKER_11
transcript.pyannote[1255].start 10325.50596875
transcript.pyannote[1255].end 10327.27784375
transcript.pyannote[1256].speaker SPEAKER_26
transcript.pyannote[1256].start 10327.69971875
transcript.pyannote[1256].end 10328.44221875
transcript.pyannote[1257].speaker SPEAKER_05
transcript.pyannote[1257].start 10336.25534375
transcript.pyannote[1257].end 10336.77846875
transcript.pyannote[1258].speaker SPEAKER_22
transcript.pyannote[1258].start 10336.98096875
transcript.pyannote[1258].end 10337.87534375
transcript.pyannote[1259].speaker SPEAKER_22
transcript.pyannote[1259].start 10338.41534375
transcript.pyannote[1259].end 10339.09034375
transcript.pyannote[1260].speaker SPEAKER_22
transcript.pyannote[1260].start 10339.73159375
transcript.pyannote[1260].end 10356.97784375
transcript.pyannote[1261].speaker SPEAKER_11
transcript.pyannote[1261].start 10347.30846875
transcript.pyannote[1261].end 10347.51096875
transcript.pyannote[1262].speaker SPEAKER_11
transcript.pyannote[1262].start 10356.97784375
transcript.pyannote[1262].end 10357.02846875
transcript.pyannote[1263].speaker SPEAKER_22
transcript.pyannote[1263].start 10357.02846875
transcript.pyannote[1263].end 10357.97346875
transcript.pyannote[1264].speaker SPEAKER_11
transcript.pyannote[1264].start 10357.97346875
transcript.pyannote[1264].end 10358.02409375
transcript.pyannote[1265].speaker SPEAKER_22
transcript.pyannote[1265].start 10358.02409375
transcript.pyannote[1265].end 10358.96909375
transcript.pyannote[1266].speaker SPEAKER_11
transcript.pyannote[1266].start 10358.96909375
transcript.pyannote[1266].end 10359.03659375
transcript.pyannote[1267].speaker SPEAKER_22
transcript.pyannote[1267].start 10359.03659375
transcript.pyannote[1267].end 10359.96471875
transcript.pyannote[1268].speaker SPEAKER_11
transcript.pyannote[1268].start 10359.96471875
transcript.pyannote[1268].end 10360.03221875
transcript.pyannote[1269].speaker SPEAKER_22
transcript.pyannote[1269].start 10360.03221875
transcript.pyannote[1269].end 10360.97721875
transcript.pyannote[1270].speaker SPEAKER_11
transcript.pyannote[1270].start 10360.97721875
transcript.pyannote[1270].end 10361.02784375
transcript.pyannote[1271].speaker SPEAKER_22
transcript.pyannote[1271].start 10361.02784375
transcript.pyannote[1271].end 10382.96534375
transcript.pyannote[1272].speaker SPEAKER_11
transcript.pyannote[1272].start 10382.96534375
transcript.pyannote[1272].end 10387.03221875
transcript.pyannote[1273].speaker SPEAKER_22
transcript.pyannote[1273].start 10387.03221875
transcript.pyannote[1273].end 10395.52034375
transcript.pyannote[1274].speaker SPEAKER_05
transcript.pyannote[1274].start 10395.92534375
transcript.pyannote[1274].end 10414.47096875
transcript.pyannote[1275].speaker SPEAKER_05
transcript.pyannote[1275].start 10414.69034375
transcript.pyannote[1275].end 10415.21346875
transcript.pyannote[1276].speaker SPEAKER_22
transcript.pyannote[1276].start 10414.72409375
transcript.pyannote[1276].end 10431.97034375
transcript.pyannote[1277].speaker SPEAKER_05
transcript.pyannote[1277].start 10418.72346875
transcript.pyannote[1277].end 10419.24659375
transcript.pyannote[1278].speaker SPEAKER_05
transcript.pyannote[1278].start 10419.83721875
transcript.pyannote[1278].end 10420.30971875
transcript.pyannote[1279].speaker SPEAKER_11
transcript.pyannote[1279].start 10431.97034375
transcript.pyannote[1279].end 10432.03784375
transcript.pyannote[1280].speaker SPEAKER_22
transcript.pyannote[1280].start 10432.03784375
transcript.pyannote[1280].end 10432.96596875
transcript.pyannote[1281].speaker SPEAKER_11
transcript.pyannote[1281].start 10432.96596875
transcript.pyannote[1281].end 10433.03346875
transcript.pyannote[1282].speaker SPEAKER_22
transcript.pyannote[1282].start 10433.03346875
transcript.pyannote[1282].end 10433.97846875
transcript.pyannote[1283].speaker SPEAKER_11
transcript.pyannote[1283].start 10433.97846875
transcript.pyannote[1283].end 10434.02909375
transcript.pyannote[1284].speaker SPEAKER_22
transcript.pyannote[1284].start 10434.02909375
transcript.pyannote[1284].end 10434.97409375
transcript.pyannote[1285].speaker SPEAKER_11
transcript.pyannote[1285].start 10434.97409375
transcript.pyannote[1285].end 10435.02471875
transcript.pyannote[1286].speaker SPEAKER_22
transcript.pyannote[1286].start 10435.02471875
transcript.pyannote[1286].end 10435.96971875
transcript.pyannote[1287].speaker SPEAKER_11
transcript.pyannote[1287].start 10435.96971875
transcript.pyannote[1287].end 10436.03721875
transcript.pyannote[1288].speaker SPEAKER_22
transcript.pyannote[1288].start 10436.03721875
transcript.pyannote[1288].end 10466.96909375
transcript.pyannote[1289].speaker SPEAKER_11
transcript.pyannote[1289].start 10466.96909375
transcript.pyannote[1289].end 10467.03659375
transcript.pyannote[1290].speaker SPEAKER_22
transcript.pyannote[1290].start 10467.03659375
transcript.pyannote[1290].end 10467.96471875
transcript.pyannote[1291].speaker SPEAKER_11
transcript.pyannote[1291].start 10467.96471875
transcript.pyannote[1291].end 10468.03221875
transcript.pyannote[1292].speaker SPEAKER_22
transcript.pyannote[1292].start 10468.03221875
transcript.pyannote[1292].end 10468.97721875
transcript.pyannote[1293].speaker SPEAKER_11
transcript.pyannote[1293].start 10468.97721875
transcript.pyannote[1293].end 10469.02784375
transcript.pyannote[1294].speaker SPEAKER_22
transcript.pyannote[1294].start 10469.02784375
transcript.pyannote[1294].end 10469.97284375
transcript.pyannote[1295].speaker SPEAKER_11
transcript.pyannote[1295].start 10469.97284375
transcript.pyannote[1295].end 10470.02346875
transcript.pyannote[1296].speaker SPEAKER_22
transcript.pyannote[1296].start 10470.02346875
transcript.pyannote[1296].end 10498.69409375
transcript.pyannote[1297].speaker SPEAKER_05
transcript.pyannote[1297].start 10501.17471875
transcript.pyannote[1297].end 10502.18721875
transcript.pyannote[1298].speaker SPEAKER_05
transcript.pyannote[1298].start 10502.49096875
transcript.pyannote[1298].end 10507.43534375
transcript.pyannote[1299].speaker SPEAKER_22
transcript.pyannote[1299].start 10507.03034375
transcript.pyannote[1299].end 10510.99596875
transcript.pyannote[1300].speaker SPEAKER_05
transcript.pyannote[1300].start 10507.70534375
transcript.pyannote[1300].end 10507.90784375
transcript.pyannote[1301].speaker SPEAKER_05
transcript.pyannote[1301].start 10511.31659375
transcript.pyannote[1301].end 10512.31221875
transcript.pyannote[1302].speaker SPEAKER_06
transcript.pyannote[1302].start 10512.31221875
transcript.pyannote[1302].end 10512.32909375
transcript.pyannote[1303].speaker SPEAKER_05
transcript.pyannote[1303].start 10512.88596875
transcript.pyannote[1303].end 10512.90284375
transcript.pyannote[1304].speaker SPEAKER_18
transcript.pyannote[1304].start 10512.90284375
transcript.pyannote[1304].end 10513.24034375
transcript.pyannote[1305].speaker SPEAKER_05
transcript.pyannote[1305].start 10513.24034375
transcript.pyannote[1305].end 10513.25721875
transcript.pyannote[1306].speaker SPEAKER_18
transcript.pyannote[1306].start 10513.96596875
transcript.pyannote[1306].end 10525.06971875
transcript.pyannote[1307].speaker SPEAKER_18
transcript.pyannote[1307].start 10525.60971875
transcript.pyannote[1307].end 10527.44909375
transcript.pyannote[1308].speaker SPEAKER_18
transcript.pyannote[1308].start 10528.25909375
transcript.pyannote[1308].end 10528.96784375
transcript.pyannote[1309].speaker SPEAKER_22
transcript.pyannote[1309].start 10528.96784375
transcript.pyannote[1309].end 10530.03096875
transcript.pyannote[1310].speaker SPEAKER_22
transcript.pyannote[1310].start 10530.62159375
transcript.pyannote[1310].end 10548.86346875
transcript.pyannote[1311].speaker SPEAKER_05
transcript.pyannote[1311].start 10548.72846875
transcript.pyannote[1311].end 10552.50846875
transcript.pyannote[1312].speaker SPEAKER_22
transcript.pyannote[1312].start 10550.92221875
transcript.pyannote[1312].end 10562.68409375
transcript.pyannote[1313].speaker SPEAKER_05
transcript.pyannote[1313].start 10556.62596875
transcript.pyannote[1313].end 10557.68909375
transcript.pyannote[1314].speaker SPEAKER_05
transcript.pyannote[1314].start 10561.41846875
transcript.pyannote[1314].end 10562.63346875
transcript.pyannote[1315].speaker SPEAKER_22
transcript.pyannote[1315].start 10562.93721875
transcript.pyannote[1315].end 10563.84846875
transcript.pyannote[1316].speaker SPEAKER_05
transcript.pyannote[1316].start 10564.96221875
transcript.pyannote[1316].end 10566.41346875
transcript.pyannote[1317].speaker SPEAKER_22
transcript.pyannote[1317].start 10566.17721875
transcript.pyannote[1317].end 10567.27409375
transcript.pyannote[1318].speaker SPEAKER_22
transcript.pyannote[1318].start 10567.54409375
transcript.pyannote[1318].end 10611.75659375
transcript.pyannote[1319].speaker SPEAKER_05
transcript.pyannote[1319].start 10612.70159375
transcript.pyannote[1319].end 10613.05596875
transcript.pyannote[1320].speaker SPEAKER_05
transcript.pyannote[1320].start 10613.19096875
transcript.pyannote[1320].end 10644.73034375
transcript.pyannote[1321].speaker SPEAKER_22
transcript.pyannote[1321].start 10643.34659375
transcript.pyannote[1321].end 10649.35409375
transcript.pyannote[1322].speaker SPEAKER_05
transcript.pyannote[1322].start 10648.39221875
transcript.pyannote[1322].end 10653.13409375
transcript.pyannote[1323].speaker SPEAKER_22
transcript.pyannote[1323].start 10653.13409375
transcript.pyannote[1323].end 10654.02846875
transcript.pyannote[1324].speaker SPEAKER_22
transcript.pyannote[1324].start 10654.24784375
transcript.pyannote[1324].end 10654.97346875
transcript.pyannote[1325].speaker SPEAKER_11
transcript.pyannote[1325].start 10654.97346875
transcript.pyannote[1325].end 10663.02284375
transcript.pyannote[1326].speaker SPEAKER_22
transcript.pyannote[1326].start 10663.02284375
transcript.pyannote[1326].end 10683.22221875
transcript.pyannote[1327].speaker SPEAKER_05
transcript.pyannote[1327].start 10683.96471875
transcript.pyannote[1327].end 10698.51096875
transcript.pyannote[1328].speaker SPEAKER_05
transcript.pyannote[1328].start 10698.89909375
transcript.pyannote[1328].end 10703.18534375
transcript.pyannote[1329].speaker SPEAKER_05
transcript.pyannote[1329].start 10703.60721875
transcript.pyannote[1329].end 10707.43784375
transcript.pyannote[1330].speaker SPEAKER_22
transcript.pyannote[1330].start 10703.62409375
transcript.pyannote[1330].end 10704.18096875
transcript.pyannote[1331].speaker SPEAKER_22
transcript.pyannote[1331].start 10706.52659375
transcript.pyannote[1331].end 10710.54284375
transcript.pyannote[1332].speaker SPEAKER_05
transcript.pyannote[1332].start 10709.32784375
transcript.pyannote[1332].end 10722.16971875
transcript.pyannote[1333].speaker SPEAKER_22
transcript.pyannote[1333].start 10722.16971875
transcript.pyannote[1333].end 10722.55784375
transcript.pyannote[1334].speaker SPEAKER_22
transcript.pyannote[1334].start 10722.89534375
transcript.pyannote[1334].end 10726.96221875
transcript.pyannote[1335].speaker SPEAKER_11
transcript.pyannote[1335].start 10726.96221875
transcript.pyannote[1335].end 10732.02471875
transcript.pyannote[1336].speaker SPEAKER_22
transcript.pyannote[1336].start 10732.02471875
transcript.pyannote[1336].end 10732.96971875
transcript.pyannote[1337].speaker SPEAKER_11
transcript.pyannote[1337].start 10732.96971875
transcript.pyannote[1337].end 10733.03721875
transcript.pyannote[1338].speaker SPEAKER_22
transcript.pyannote[1338].start 10733.03721875
transcript.pyannote[1338].end 10753.42221875
transcript.pyannote[1339].speaker SPEAKER_26
transcript.pyannote[1339].start 10753.89471875
transcript.pyannote[1339].end 10754.87346875
transcript.pyannote[1340].speaker SPEAKER_16
transcript.pyannote[1340].start 10767.19221875
transcript.pyannote[1340].end 10767.81659375
transcript.pyannote[1341].speaker SPEAKER_22
transcript.pyannote[1341].start 10767.93471875
transcript.pyannote[1341].end 10767.95159375
transcript.pyannote[1342].speaker SPEAKER_11
transcript.pyannote[1342].start 10767.95159375
transcript.pyannote[1342].end 10768.69409375
transcript.pyannote[1343].speaker SPEAKER_22
transcript.pyannote[1343].start 10768.69409375
transcript.pyannote[1343].end 10768.71096875
transcript.pyannote[1344].speaker SPEAKER_22
transcript.pyannote[1344].start 10769.23409375
transcript.pyannote[1344].end 10769.25096875
transcript.pyannote[1345].speaker SPEAKER_11
transcript.pyannote[1345].start 10769.25096875
transcript.pyannote[1345].end 10793.02784375
transcript.pyannote[1346].speaker SPEAKER_22
transcript.pyannote[1346].start 10793.02784375
transcript.pyannote[1346].end 10799.64284375
transcript.pyannote[1347].speaker SPEAKER_28
transcript.pyannote[1347].start 10800.06471875
transcript.pyannote[1347].end 10802.35971875
transcript.pyannote[1348].speaker SPEAKER_28
transcript.pyannote[1348].start 10802.74784375
transcript.pyannote[1348].end 10808.28284375
transcript.pyannote[1349].speaker SPEAKER_28
transcript.pyannote[1349].start 10808.31659375
transcript.pyannote[1349].end 10817.00721875
transcript.pyannote[1350].speaker SPEAKER_28
transcript.pyannote[1350].start 10817.27721875
transcript.pyannote[1350].end 10829.49471875
transcript.pyannote[1351].speaker SPEAKER_22
transcript.pyannote[1351].start 10828.68471875
transcript.pyannote[1351].end 10847.97284375
transcript.pyannote[1352].speaker SPEAKER_28
transcript.pyannote[1352].start 10832.39721875
transcript.pyannote[1352].end 10832.81909375
transcript.pyannote[1353].speaker SPEAKER_11
transcript.pyannote[1353].start 10836.16034375
transcript.pyannote[1353].end 10836.27846875
transcript.pyannote[1354].speaker SPEAKER_11
transcript.pyannote[1354].start 10837.10534375
transcript.pyannote[1354].end 10837.54409375
transcript.pyannote[1355].speaker SPEAKER_11
transcript.pyannote[1355].start 10847.97284375
transcript.pyannote[1355].end 10848.02346875
transcript.pyannote[1356].speaker SPEAKER_22
transcript.pyannote[1356].start 10848.02346875
transcript.pyannote[1356].end 10848.96846875
transcript.pyannote[1357].speaker SPEAKER_11
transcript.pyannote[1357].start 10848.96846875
transcript.pyannote[1357].end 10849.03596875
transcript.pyannote[1358].speaker SPEAKER_22
transcript.pyannote[1358].start 10849.03596875
transcript.pyannote[1358].end 10872.12096875
transcript.pyannote[1359].speaker SPEAKER_22
transcript.pyannote[1359].start 10872.67784375
transcript.pyannote[1359].end 10874.23034375
transcript.pyannote[1360].speaker SPEAKER_28
transcript.pyannote[1360].start 10874.23034375
transcript.pyannote[1360].end 10882.27971875
transcript.pyannote[1361].speaker SPEAKER_22
transcript.pyannote[1361].start 10882.34721875
transcript.pyannote[1361].end 10895.30721875
transcript.pyannote[1362].speaker SPEAKER_28
transcript.pyannote[1362].start 10895.44221875
transcript.pyannote[1362].end 10896.58971875
transcript.pyannote[1363].speaker SPEAKER_26
transcript.pyannote[1363].start 10899.93096875
transcript.pyannote[1363].end 10903.15409375
transcript.pyannote[1364].speaker SPEAKER_29
transcript.pyannote[1364].start 10928.60159375
transcript.pyannote[1364].end 10931.03159375
transcript.pyannote[1365].speaker SPEAKER_29
transcript.pyannote[1365].start 10933.15784375
transcript.pyannote[1365].end 10933.29284375
transcript.pyannote[1366].speaker SPEAKER_23
transcript.pyannote[1366].start 10933.29284375
transcript.pyannote[1366].end 10934.23784375
transcript.pyannote[1367].speaker SPEAKER_29
transcript.pyannote[1367].start 10934.23784375
transcript.pyannote[1367].end 10935.68909375
transcript.pyannote[1368].speaker SPEAKER_29
transcript.pyannote[1368].start 10935.97596875
transcript.pyannote[1368].end 10936.02659375
transcript.pyannote[1369].speaker SPEAKER_27
transcript.pyannote[1369].start 10941.08909375
transcript.pyannote[1369].end 10941.51096875
transcript.pyannote[1370].speaker SPEAKER_27
transcript.pyannote[1370].start 10941.89909375
transcript.pyannote[1370].end 10942.13534375
transcript.pyannote[1371].speaker SPEAKER_27
transcript.pyannote[1371].start 10942.65846875
transcript.pyannote[1371].end 10943.02971875
transcript.pyannote[1372].speaker SPEAKER_27
transcript.pyannote[1372].start 10943.67096875
transcript.pyannote[1372].end 10944.43034375
transcript.pyannote[1373].speaker SPEAKER_27
transcript.pyannote[1373].start 10945.44284375
transcript.pyannote[1373].end 10945.54409375
transcript.pyannote[1374].speaker SPEAKER_23
transcript.pyannote[1374].start 10945.54409375
transcript.pyannote[1374].end 10948.64909375
transcript.pyannote[1375].speaker SPEAKER_27
transcript.pyannote[1375].start 10948.64909375
transcript.pyannote[1375].end 10949.07096875
transcript.pyannote[1376].speaker SPEAKER_23
transcript.pyannote[1376].start 10952.54721875
transcript.pyannote[1376].end 10952.58096875
transcript.pyannote[1377].speaker SPEAKER_27
transcript.pyannote[1377].start 10952.58096875
transcript.pyannote[1377].end 10952.64846875
transcript.pyannote[1378].speaker SPEAKER_23
transcript.pyannote[1378].start 10952.64846875
transcript.pyannote[1378].end 10953.23909375
transcript.pyannote[1379].speaker SPEAKER_27
transcript.pyannote[1379].start 10953.23909375
transcript.pyannote[1379].end 10953.34034375
transcript.pyannote[1380].speaker SPEAKER_27
transcript.pyannote[1380].start 10953.96471875
transcript.pyannote[1380].end 10954.03221875
transcript.pyannote[1381].speaker SPEAKER_27
transcript.pyannote[1381].start 10954.96034375
transcript.pyannote[1381].end 10954.99409375
transcript.pyannote[1382].speaker SPEAKER_16
transcript.pyannote[1382].start 10983.98534375
transcript.pyannote[1382].end 10984.69409375
transcript.pyannote[1383].speaker SPEAKER_16
transcript.pyannote[1383].start 10985.74034375
transcript.pyannote[1383].end 10986.33096875
transcript.pyannote[1384].speaker SPEAKER_23
transcript.pyannote[1384].start 10986.66846875
transcript.pyannote[1384].end 10986.83721875
transcript.pyannote[1385].speaker SPEAKER_23
transcript.pyannote[1385].start 10990.90409375
transcript.pyannote[1385].end 11002.02471875
transcript.pyannote[1386].speaker SPEAKER_23
transcript.pyannote[1386].start 11002.78409375
transcript.pyannote[1386].end 11002.93596875
transcript.pyannote[1387].speaker SPEAKER_27
transcript.pyannote[1387].start 11007.82971875
transcript.pyannote[1387].end 11007.98159375
transcript.pyannote[1388].speaker SPEAKER_23
transcript.pyannote[1388].start 11007.98159375
transcript.pyannote[1388].end 11008.03221875
transcript.pyannote[1389].speaker SPEAKER_29
transcript.pyannote[1389].start 11007.98159375
transcript.pyannote[1389].end 11008.13346875
transcript.pyannote[1390].speaker SPEAKER_27
transcript.pyannote[1390].start 11008.13346875
transcript.pyannote[1390].end 11008.36971875
transcript.pyannote[1391].speaker SPEAKER_29
transcript.pyannote[1391].start 11008.36971875
transcript.pyannote[1391].end 11008.43721875
transcript.pyannote[1392].speaker SPEAKER_27
transcript.pyannote[1392].start 11008.43721875
transcript.pyannote[1392].end 11008.65659375
transcript.pyannote[1393].speaker SPEAKER_29
transcript.pyannote[1393].start 11008.65659375
transcript.pyannote[1393].end 11009.58471875
transcript.pyannote[1394].speaker SPEAKER_23
transcript.pyannote[1394].start 11008.97721875
transcript.pyannote[1394].end 11011.74471875
transcript.pyannote[1395].speaker SPEAKER_27
transcript.pyannote[1395].start 11011.96409375
transcript.pyannote[1395].end 11012.04846875
transcript.pyannote[1396].speaker SPEAKER_23
transcript.pyannote[1396].start 11012.06534375
transcript.pyannote[1396].end 11012.75721875
transcript.pyannote[1397].speaker SPEAKER_27
transcript.pyannote[1397].start 11012.75721875
transcript.pyannote[1397].end 11012.95971875
transcript.pyannote[1398].speaker SPEAKER_23
transcript.pyannote[1398].start 11012.95971875
transcript.pyannote[1398].end 11013.38159375
transcript.pyannote[1399].speaker SPEAKER_27
transcript.pyannote[1399].start 11013.38159375
transcript.pyannote[1399].end 11013.97221875
transcript.pyannote[1400].speaker SPEAKER_23
transcript.pyannote[1400].start 11013.97221875
transcript.pyannote[1400].end 11014.29284375
transcript.pyannote[1401].speaker SPEAKER_27
transcript.pyannote[1401].start 11014.29284375
transcript.pyannote[1401].end 11014.30971875
transcript.pyannote[1402].speaker SPEAKER_23
transcript.pyannote[1402].start 11018.84909375
transcript.pyannote[1402].end 11018.93346875
transcript.pyannote[1403].speaker SPEAKER_23
transcript.pyannote[1403].start 11018.96721875
transcript.pyannote[1403].end 11019.03471875
transcript.pyannote[1404].speaker SPEAKER_23
transcript.pyannote[1404].start 11019.05159375
transcript.pyannote[1404].end 11019.60846875
transcript.pyannote[1405].speaker SPEAKER_23
transcript.pyannote[1405].start 11019.79409375
transcript.pyannote[1405].end 11019.94596875
transcript.pyannote[1406].speaker SPEAKER_23
transcript.pyannote[1406].start 11020.23284375
transcript.pyannote[1406].end 11020.24971875
transcript.pyannote[1407].speaker SPEAKER_23
transcript.pyannote[1407].start 11020.26659375
transcript.pyannote[1407].end 11021.02596875
transcript.pyannote[1408].speaker SPEAKER_23
transcript.pyannote[1408].start 11021.19471875
transcript.pyannote[1408].end 11021.70096875
transcript.pyannote[1409].speaker SPEAKER_23
transcript.pyannote[1409].start 11021.73471875
transcript.pyannote[1409].end 11022.03846875
transcript.pyannote[1410].speaker SPEAKER_27
transcript.pyannote[1410].start 11041.95096875
transcript.pyannote[1410].end 11042.03534375
transcript.pyannote[1411].speaker SPEAKER_27
transcript.pyannote[1411].start 11042.25471875
transcript.pyannote[1411].end 11042.59221875
transcript.pyannote[1412].speaker SPEAKER_27
transcript.pyannote[1412].start 11042.96346875
transcript.pyannote[1412].end 11043.03096875
transcript.pyannote[1413].speaker SPEAKER_27
transcript.pyannote[1413].start 11043.28409375
transcript.pyannote[1413].end 11043.85784375
transcript.pyannote[1414].speaker SPEAKER_27
transcript.pyannote[1414].start 11043.97596875
transcript.pyannote[1414].end 11044.02659375
transcript.pyannote[1415].speaker SPEAKER_27
transcript.pyannote[1415].start 11044.92096875
transcript.pyannote[1415].end 11045.24159375
transcript.pyannote[1416].speaker SPEAKER_23
transcript.pyannote[1416].start 11082.41721875
transcript.pyannote[1416].end 11083.71659375
transcript.pyannote[1417].speaker SPEAKER_23
transcript.pyannote[1417].start 11085.31971875
transcript.pyannote[1417].end 11087.29409375
transcript.pyannote[1418].speaker SPEAKER_23
transcript.pyannote[1418].start 11087.90159375
transcript.pyannote[1418].end 11088.82971875
transcript.pyannote[1419].speaker SPEAKER_23
transcript.pyannote[1419].start 11121.29721875
transcript.pyannote[1419].end 11121.56721875
transcript.pyannote[1420].speaker SPEAKER_12
transcript.pyannote[1420].start 11154.82784375
transcript.pyannote[1420].end 11155.82346875
transcript.pyannote[1421].speaker SPEAKER_31
transcript.pyannote[1421].start 11191.98659375
transcript.pyannote[1421].end 11194.60221875
transcript.pyannote[1422].speaker SPEAKER_26
transcript.pyannote[1422].start 11227.35659375
transcript.pyannote[1422].end 11228.53784375
transcript.pyannote[1423].speaker SPEAKER_26
transcript.pyannote[1423].start 11229.39846875
transcript.pyannote[1423].end 11232.03096875
transcript.pyannote[1424].speaker SPEAKER_17
transcript.pyannote[1424].start 11245.68284375
transcript.pyannote[1424].end 11248.28159375
transcript.pyannote[1425].speaker SPEAKER_07
transcript.pyannote[1425].start 11255.84159375
transcript.pyannote[1425].end 11256.75284375
transcript.pyannote[1426].speaker SPEAKER_17
transcript.pyannote[1426].start 11256.75284375
transcript.pyannote[1426].end 11359.50471875
transcript.pyannote[1427].speaker SPEAKER_17
transcript.pyannote[1427].start 11360.61846875
transcript.pyannote[1427].end 11425.28346875
transcript.pyannote[1428].speaker SPEAKER_00
transcript.pyannote[1428].start 11360.83784375
transcript.pyannote[1428].end 11360.90534375
transcript.pyannote[1429].speaker SPEAKER_06
transcript.pyannote[1429].start 11360.90534375
transcript.pyannote[1429].end 11361.04034375
transcript.pyannote[1430].speaker SPEAKER_00
transcript.pyannote[1430].start 11361.04034375
transcript.pyannote[1430].end 11361.12471875
transcript.pyannote[1431].speaker SPEAKER_00
transcript.pyannote[1431].start 11361.90096875
transcript.pyannote[1431].end 11361.91784375
transcript.pyannote[1432].speaker SPEAKER_06
transcript.pyannote[1432].start 11361.91784375
transcript.pyannote[1432].end 11362.44096875
transcript.pyannote[1433].speaker SPEAKER_05
transcript.pyannote[1433].start 11425.28346875
transcript.pyannote[1433].end 11425.31721875
transcript.pyannote[1434].speaker SPEAKER_05
transcript.pyannote[1434].start 11425.43534375
transcript.pyannote[1434].end 11431.45971875
transcript.pyannote[1435].speaker SPEAKER_05
transcript.pyannote[1435].start 11431.96596875
transcript.pyannote[1435].end 11432.99534375
transcript.pyannote[1436].speaker SPEAKER_05
transcript.pyannote[1436].start 11433.41721875
transcript.pyannote[1436].end 11439.99846875
transcript.pyannote[1437].speaker SPEAKER_17
transcript.pyannote[1437].start 11440.13346875
transcript.pyannote[1437].end 11441.46659375
transcript.pyannote[1438].speaker SPEAKER_05
transcript.pyannote[1438].start 11441.46659375
transcript.pyannote[1438].end 11445.49971875
transcript.pyannote[1439].speaker SPEAKER_17
transcript.pyannote[1439].start 11442.46221875
transcript.pyannote[1439].end 11444.23409375
transcript.pyannote[1440].speaker SPEAKER_17
transcript.pyannote[1440].start 11445.04409375
transcript.pyannote[1440].end 11447.03534375
transcript.pyannote[1441].speaker SPEAKER_05
transcript.pyannote[1441].start 11446.68096875
transcript.pyannote[1441].end 11446.83284375
transcript.pyannote[1442].speaker SPEAKER_05
transcript.pyannote[1442].start 11447.32221875
transcript.pyannote[1442].end 11452.53659375
transcript.pyannote[1443].speaker SPEAKER_17
transcript.pyannote[1443].start 11452.09784375
transcript.pyannote[1443].end 11453.31284375
transcript.pyannote[1444].speaker SPEAKER_05
transcript.pyannote[1444].start 11453.31284375
transcript.pyannote[1444].end 11464.11284375
transcript.pyannote[1445].speaker SPEAKER_17
transcript.pyannote[1445].start 11455.87784375
transcript.pyannote[1445].end 11455.97909375
transcript.pyannote[1446].speaker SPEAKER_17
transcript.pyannote[1446].start 11463.33659375
transcript.pyannote[1446].end 11466.62721875
transcript.pyannote[1447].speaker SPEAKER_05
transcript.pyannote[1447].start 11465.00721875
transcript.pyannote[1447].end 11465.39534375
transcript.pyannote[1448].speaker SPEAKER_05
transcript.pyannote[1448].start 11465.85096875
transcript.pyannote[1448].end 11486.84346875
transcript.pyannote[1449].speaker SPEAKER_17
transcript.pyannote[1449].start 11468.66909375
transcript.pyannote[1449].end 11470.05284375
transcript.pyannote[1450].speaker SPEAKER_17
transcript.pyannote[1450].start 11476.09409375
transcript.pyannote[1450].end 11478.38909375
transcript.pyannote[1451].speaker SPEAKER_17
transcript.pyannote[1451].start 11483.51909375
transcript.pyannote[1451].end 11488.96971875
transcript.pyannote[1452].speaker SPEAKER_17
transcript.pyannote[1452].start 11490.01596875
transcript.pyannote[1452].end 11490.60659375
transcript.pyannote[1453].speaker SPEAKER_17
transcript.pyannote[1453].start 11490.72471875
transcript.pyannote[1453].end 11491.72034375
transcript.pyannote[1454].speaker SPEAKER_17
transcript.pyannote[1454].start 11491.88909375
transcript.pyannote[1454].end 11500.25909375
transcript.pyannote[1455].speaker SPEAKER_05
transcript.pyannote[1455].start 11499.95534375
transcript.pyannote[1455].end 11501.32221875
transcript.pyannote[1456].speaker SPEAKER_17
transcript.pyannote[1456].start 11501.20409375
transcript.pyannote[1456].end 11502.92534375
transcript.pyannote[1457].speaker SPEAKER_17
transcript.pyannote[1457].start 11503.26284375
transcript.pyannote[1457].end 11503.70159375
transcript.pyannote[1458].speaker SPEAKER_05
transcript.pyannote[1458].start 11503.70159375
transcript.pyannote[1458].end 11514.31596875
transcript.pyannote[1459].speaker SPEAKER_05
transcript.pyannote[1459].start 11514.63659375
transcript.pyannote[1459].end 11517.08346875
transcript.pyannote[1460].speaker SPEAKER_17
transcript.pyannote[1460].start 11515.42971875
transcript.pyannote[1460].end 11528.32221875
transcript.pyannote[1461].speaker SPEAKER_07
transcript.pyannote[1461].start 11517.33659375
transcript.pyannote[1461].end 11517.35346875
transcript.pyannote[1462].speaker SPEAKER_05
transcript.pyannote[1462].start 11517.35346875
transcript.pyannote[1462].end 11518.99034375
transcript.pyannote[1463].speaker SPEAKER_07
transcript.pyannote[1463].start 11522.88846875
transcript.pyannote[1463].end 11522.92221875
transcript.pyannote[1464].speaker SPEAKER_05
transcript.pyannote[1464].start 11522.92221875
transcript.pyannote[1464].end 11524.72784375
transcript.pyannote[1465].speaker SPEAKER_05
transcript.pyannote[1465].start 11524.82909375
transcript.pyannote[1465].end 11524.86284375
transcript.pyannote[1466].speaker SPEAKER_05
transcript.pyannote[1466].start 11524.89659375
transcript.pyannote[1466].end 11526.09471875
transcript.pyannote[1467].speaker SPEAKER_05
transcript.pyannote[1467].start 11527.93409375
transcript.pyannote[1467].end 11539.72971875
transcript.pyannote[1468].speaker SPEAKER_17
transcript.pyannote[1468].start 11538.43034375
transcript.pyannote[1468].end 11545.26471875
transcript.pyannote[1469].speaker SPEAKER_05
transcript.pyannote[1469].start 11540.37096875
transcript.pyannote[1469].end 11540.70846875
transcript.pyannote[1470].speaker SPEAKER_17
transcript.pyannote[1470].start 11545.43346875
transcript.pyannote[1470].end 11546.44596875
transcript.pyannote[1471].speaker SPEAKER_05
transcript.pyannote[1471].start 11545.68659375
transcript.pyannote[1471].end 11549.12909375
transcript.pyannote[1472].speaker SPEAKER_17
transcript.pyannote[1472].start 11548.47096875
transcript.pyannote[1472].end 11554.02284375
transcript.pyannote[1473].speaker SPEAKER_05
transcript.pyannote[1473].start 11550.90096875
transcript.pyannote[1473].end 11551.32284375
transcript.pyannote[1474].speaker SPEAKER_05
transcript.pyannote[1474].start 11554.02284375
transcript.pyannote[1474].end 11559.65909375
transcript.pyannote[1475].speaker SPEAKER_05
transcript.pyannote[1475].start 11559.84471875
transcript.pyannote[1475].end 11566.86471875
transcript.pyannote[1476].speaker SPEAKER_06
transcript.pyannote[1476].start 11559.91221875
transcript.pyannote[1476].end 11561.32971875
transcript.pyannote[1477].speaker SPEAKER_17
transcript.pyannote[1477].start 11564.63721875
transcript.pyannote[1477].end 11568.06284375
transcript.pyannote[1478].speaker SPEAKER_05
transcript.pyannote[1478].start 11568.06284375
transcript.pyannote[1478].end 11571.03284375
transcript.pyannote[1479].speaker SPEAKER_17
transcript.pyannote[1479].start 11570.83034375
transcript.pyannote[1479].end 11581.29284375
transcript.pyannote[1480].speaker SPEAKER_05
transcript.pyannote[1480].start 11573.29409375
transcript.pyannote[1480].end 11578.77846875
transcript.pyannote[1481].speaker SPEAKER_05
transcript.pyannote[1481].start 11579.30159375
transcript.pyannote[1481].end 11602.82534375
transcript.pyannote[1482].speaker SPEAKER_10
transcript.pyannote[1482].start 11598.18471875
transcript.pyannote[1482].end 11599.16346875
transcript.pyannote[1483].speaker SPEAKER_17
transcript.pyannote[1483].start 11602.82534375
transcript.pyannote[1483].end 11619.70034375
transcript.pyannote[1484].speaker SPEAKER_27
transcript.pyannote[1484].start 11612.93346875
transcript.pyannote[1484].end 11613.32159375
transcript.pyannote[1485].speaker SPEAKER_05
transcript.pyannote[1485].start 11613.32159375
transcript.pyannote[1485].end 11613.33846875
transcript.pyannote[1486].speaker SPEAKER_17
transcript.pyannote[1486].start 11620.05471875
transcript.pyannote[1486].end 11627.22659375
transcript.pyannote[1487].speaker SPEAKER_05
transcript.pyannote[1487].start 11620.42596875
transcript.pyannote[1487].end 11623.91909375
transcript.pyannote[1488].speaker SPEAKER_17
transcript.pyannote[1488].start 11628.28971875
transcript.pyannote[1488].end 11631.66471875
transcript.pyannote[1489].speaker SPEAKER_05
transcript.pyannote[1489].start 11632.44096875
transcript.pyannote[1489].end 11640.25409375
transcript.pyannote[1490].speaker SPEAKER_17
transcript.pyannote[1490].start 11634.75284375
transcript.pyannote[1490].end 11634.92159375
transcript.pyannote[1491].speaker SPEAKER_17
transcript.pyannote[1491].start 11637.30096875
transcript.pyannote[1491].end 11643.78096875
transcript.pyannote[1492].speaker SPEAKER_05
transcript.pyannote[1492].start 11643.00471875
transcript.pyannote[1492].end 11653.11284375
transcript.pyannote[1493].speaker SPEAKER_17
transcript.pyannote[1493].start 11647.69596875
transcript.pyannote[1493].end 11662.15784375
transcript.pyannote[1494].speaker SPEAKER_05
transcript.pyannote[1494].start 11659.27221875
transcript.pyannote[1494].end 11666.79846875
transcript.pyannote[1495].speaker SPEAKER_17
transcript.pyannote[1495].start 11666.79846875
transcript.pyannote[1495].end 11667.96284375
transcript.pyannote[1496].speaker SPEAKER_05
transcript.pyannote[1496].start 11667.16971875
transcript.pyannote[1496].end 11677.37909375
transcript.pyannote[1497].speaker SPEAKER_17
transcript.pyannote[1497].start 11668.72221875
transcript.pyannote[1497].end 11669.27909375
transcript.pyannote[1498].speaker SPEAKER_17
transcript.pyannote[1498].start 11672.24909375
transcript.pyannote[1498].end 11674.08846875
transcript.pyannote[1499].speaker SPEAKER_17
transcript.pyannote[1499].start 11674.74659375
transcript.pyannote[1499].end 11680.72034375
transcript.pyannote[1500].speaker SPEAKER_05
transcript.pyannote[1500].start 11679.87659375
transcript.pyannote[1500].end 11681.41221875
transcript.pyannote[1501].speaker SPEAKER_17
transcript.pyannote[1501].start 11681.41221875
transcript.pyannote[1501].end 11687.60534375
transcript.pyannote[1502].speaker SPEAKER_05
transcript.pyannote[1502].start 11681.42909375
transcript.pyannote[1502].end 11682.17159375
transcript.pyannote[1503].speaker SPEAKER_05
transcript.pyannote[1503].start 11682.54284375
transcript.pyannote[1503].end 11684.78721875
transcript.pyannote[1504].speaker SPEAKER_05
transcript.pyannote[1504].start 11687.08221875
transcript.pyannote[1504].end 11687.55471875
transcript.pyannote[1505].speaker SPEAKER_05
transcript.pyannote[1505].start 11687.60534375
transcript.pyannote[1505].end 11687.97659375
transcript.pyannote[1506].speaker SPEAKER_17
transcript.pyannote[1506].start 11687.97659375
transcript.pyannote[1506].end 11688.12846875
transcript.pyannote[1507].speaker SPEAKER_05
transcript.pyannote[1507].start 11688.12846875
transcript.pyannote[1507].end 11688.14534375
transcript.pyannote[1508].speaker SPEAKER_17
transcript.pyannote[1508].start 11688.14534375
transcript.pyannote[1508].end 11688.48284375
transcript.pyannote[1509].speaker SPEAKER_05
transcript.pyannote[1509].start 11688.48284375
transcript.pyannote[1509].end 11688.65159375
transcript.pyannote[1510].speaker SPEAKER_17
transcript.pyannote[1510].start 11688.55034375
transcript.pyannote[1510].end 11697.88221875
transcript.pyannote[1511].speaker SPEAKER_05
transcript.pyannote[1511].start 11690.87909375
transcript.pyannote[1511].end 11694.38909375
transcript.pyannote[1512].speaker SPEAKER_05
transcript.pyannote[1512].start 11697.54471875
transcript.pyannote[1512].end 11702.11784375
transcript.pyannote[1513].speaker SPEAKER_17
transcript.pyannote[1513].start 11700.44721875
transcript.pyannote[1513].end 11701.08846875
transcript.pyannote[1514].speaker SPEAKER_17
transcript.pyannote[1514].start 11701.69596875
transcript.pyannote[1514].end 11706.03284375
transcript.pyannote[1515].speaker SPEAKER_05
transcript.pyannote[1515].start 11702.48909375
transcript.pyannote[1515].end 11704.29471875
transcript.pyannote[1516].speaker SPEAKER_17
transcript.pyannote[1516].start 11707.04534375
transcript.pyannote[1516].end 11708.54721875
transcript.pyannote[1517].speaker SPEAKER_05
transcript.pyannote[1517].start 11707.70346875
transcript.pyannote[1517].end 11707.97346875
transcript.pyannote[1518].speaker SPEAKER_08
transcript.pyannote[1518].start 11707.97346875
transcript.pyannote[1518].end 11708.95221875
transcript.pyannote[1519].speaker SPEAKER_17
transcript.pyannote[1519].start 11708.88471875
transcript.pyannote[1519].end 11711.17971875
transcript.pyannote[1520].speaker SPEAKER_17
transcript.pyannote[1520].start 11711.53409375
transcript.pyannote[1520].end 11711.93909375
transcript.pyannote[1521].speaker SPEAKER_17
transcript.pyannote[1521].start 11712.47909375
transcript.pyannote[1521].end 11713.25534375
transcript.pyannote[1522].speaker SPEAKER_17
transcript.pyannote[1522].start 11713.40721875
transcript.pyannote[1522].end 11715.66846875
transcript.pyannote[1523].speaker SPEAKER_17
transcript.pyannote[1523].start 11716.41096875
transcript.pyannote[1523].end 11724.22409375
transcript.pyannote[1524].speaker SPEAKER_05
transcript.pyannote[1524].start 11719.81971875
transcript.pyannote[1524].end 11724.91596875
transcript.pyannote[1525].speaker SPEAKER_17
transcript.pyannote[1525].start 11724.91596875
transcript.pyannote[1525].end 11727.88596875
transcript.pyannote[1526].speaker SPEAKER_17
transcript.pyannote[1526].start 11727.97034375
transcript.pyannote[1526].end 11741.57159375
transcript.pyannote[1527].speaker SPEAKER_17
transcript.pyannote[1527].start 11742.41534375
transcript.pyannote[1527].end 11751.00471875
transcript.pyannote[1528].speaker SPEAKER_17
transcript.pyannote[1528].start 11751.44346875
transcript.pyannote[1528].end 11761.36596875
transcript.pyannote[1529].speaker SPEAKER_17
transcript.pyannote[1529].start 11761.95659375
transcript.pyannote[1529].end 11772.70596875
transcript.pyannote[1530].speaker SPEAKER_17
transcript.pyannote[1530].start 11772.97596875
transcript.pyannote[1530].end 11773.65096875
transcript.pyannote[1531].speaker SPEAKER_17
transcript.pyannote[1531].start 11774.15721875
transcript.pyannote[1531].end 11786.08784375
transcript.pyannote[1532].speaker SPEAKER_17
transcript.pyannote[1532].start 11786.44221875
transcript.pyannote[1532].end 11787.18471875
transcript.pyannote[1533].speaker SPEAKER_27
transcript.pyannote[1533].start 11786.49284375
transcript.pyannote[1533].end 11786.52659375
transcript.pyannote[1534].speaker SPEAKER_05
transcript.pyannote[1534].start 11786.52659375
transcript.pyannote[1534].end 11786.88096875
transcript.pyannote[1535].speaker SPEAKER_05
transcript.pyannote[1535].start 11787.04971875
transcript.pyannote[1535].end 11787.69096875
transcript.pyannote[1536].speaker SPEAKER_17
transcript.pyannote[1536].start 11787.30284375
transcript.pyannote[1536].end 11797.14096875
transcript.pyannote[1537].speaker SPEAKER_27
transcript.pyannote[1537].start 11788.87221875
transcript.pyannote[1537].end 11788.88909375
transcript.pyannote[1538].speaker SPEAKER_05
transcript.pyannote[1538].start 11788.88909375
transcript.pyannote[1538].end 11788.97346875
transcript.pyannote[1539].speaker SPEAKER_27
transcript.pyannote[1539].start 11788.97346875
transcript.pyannote[1539].end 11788.99034375
transcript.pyannote[1540].speaker SPEAKER_17
transcript.pyannote[1540].start 11797.59659375
transcript.pyannote[1540].end 11811.53534375
transcript.pyannote[1541].speaker SPEAKER_05
transcript.pyannote[1541].start 11811.70409375
transcript.pyannote[1541].end 11817.67784375
transcript.pyannote[1542].speaker SPEAKER_17
transcript.pyannote[1542].start 11814.96096875
transcript.pyannote[1542].end 11815.82159375
transcript.pyannote[1543].speaker SPEAKER_05
transcript.pyannote[1543].start 11817.88034375
transcript.pyannote[1543].end 11821.93034375
transcript.pyannote[1544].speaker SPEAKER_17
transcript.pyannote[1544].start 11821.27221875
transcript.pyannote[1544].end 11822.70659375
transcript.pyannote[1545].speaker SPEAKER_05
transcript.pyannote[1545].start 11822.70659375
transcript.pyannote[1545].end 11856.11909375
transcript.pyannote[1546].speaker SPEAKER_00
transcript.pyannote[1546].start 11844.54284375
transcript.pyannote[1546].end 11845.35284375
transcript.pyannote[1547].speaker SPEAKER_05
transcript.pyannote[1547].start 11856.27096875
transcript.pyannote[1547].end 11874.95159375
transcript.pyannote[1548].speaker SPEAKER_17
transcript.pyannote[1548].start 11871.15471875
transcript.pyannote[1548].end 11872.94346875
transcript.pyannote[1549].speaker SPEAKER_17
transcript.pyannote[1549].start 11874.02346875
transcript.pyannote[1549].end 11887.06784375
transcript.pyannote[1550].speaker SPEAKER_05
transcript.pyannote[1550].start 11875.66034375
transcript.pyannote[1550].end 11878.52909375
transcript.pyannote[1551].speaker SPEAKER_05
transcript.pyannote[1551].start 11882.74784375
transcript.pyannote[1551].end 11883.00096875
transcript.pyannote[1552].speaker SPEAKER_05
transcript.pyannote[1552].start 11885.27909375
transcript.pyannote[1552].end 11885.65034375
transcript.pyannote[1553].speaker SPEAKER_17
transcript.pyannote[1553].start 11887.59096875
transcript.pyannote[1553].end 11892.26534375
transcript.pyannote[1554].speaker SPEAKER_17
transcript.pyannote[1554].start 11892.70409375
transcript.pyannote[1554].end 11906.11971875
transcript.pyannote[1555].speaker SPEAKER_17
transcript.pyannote[1555].start 11906.20409375
transcript.pyannote[1555].end 11908.06034375
transcript.pyannote[1556].speaker SPEAKER_17
transcript.pyannote[1556].start 11908.11096875
transcript.pyannote[1556].end 11916.97034375
transcript.pyannote[1557].speaker SPEAKER_00
transcript.pyannote[1557].start 11914.11846875
transcript.pyannote[1557].end 11914.30409375
transcript.pyannote[1558].speaker SPEAKER_05
transcript.pyannote[1558].start 11914.30409375
transcript.pyannote[1558].end 11914.50659375
transcript.pyannote[1559].speaker SPEAKER_00
transcript.pyannote[1559].start 11914.50659375
transcript.pyannote[1559].end 11915.48534375
transcript.pyannote[1560].speaker SPEAKER_17
transcript.pyannote[1560].start 11917.12221875
transcript.pyannote[1560].end 11927.95596875
transcript.pyannote[1561].speaker SPEAKER_05
transcript.pyannote[1561].start 11927.95596875
transcript.pyannote[1561].end 11939.05971875
transcript.pyannote[1562].speaker SPEAKER_00
transcript.pyannote[1562].start 11931.92159375
transcript.pyannote[1562].end 11931.97221875
transcript.pyannote[1563].speaker SPEAKER_17
transcript.pyannote[1563].start 11931.97221875
transcript.pyannote[1563].end 11932.25909375
transcript.pyannote[1564].speaker SPEAKER_17
transcript.pyannote[1564].start 11933.81159375
transcript.pyannote[1564].end 11934.14909375
transcript.pyannote[1565].speaker SPEAKER_05
transcript.pyannote[1565].start 11939.43096875
transcript.pyannote[1565].end 11954.97284375
transcript.pyannote[1566].speaker SPEAKER_08
transcript.pyannote[1566].start 11944.51034375
transcript.pyannote[1566].end 11944.83096875
transcript.pyannote[1567].speaker SPEAKER_17
transcript.pyannote[1567].start 11951.26034375
transcript.pyannote[1567].end 11966.27909375
transcript.pyannote[1568].speaker SPEAKER_05
transcript.pyannote[1568].start 11964.74346875
transcript.pyannote[1568].end 11972.75909375
transcript.pyannote[1569].speaker SPEAKER_17
transcript.pyannote[1569].start 11966.31284375
transcript.pyannote[1569].end 11966.85284375
transcript.pyannote[1570].speaker SPEAKER_17
transcript.pyannote[1570].start 11968.59096875
transcript.pyannote[1570].end 11970.73409375
transcript.pyannote[1571].speaker SPEAKER_17
transcript.pyannote[1571].start 11973.21471875
transcript.pyannote[1571].end 11974.71659375
transcript.pyannote[1572].speaker SPEAKER_17
transcript.pyannote[1572].start 11974.78409375
transcript.pyannote[1572].end 11985.71909375
transcript.pyannote[1573].speaker SPEAKER_26
transcript.pyannote[1573].start 11989.04346875
transcript.pyannote[1573].end 11991.06846875
transcript.pyannote[1574].speaker SPEAKER_26
transcript.pyannote[1574].start 11991.11909375
transcript.pyannote[1574].end 12003.50534375
transcript.pyannote[1575].speaker SPEAKER_22
transcript.pyannote[1575].start 12009.37784375
transcript.pyannote[1575].end 12009.64784375
transcript.pyannote[1576].speaker SPEAKER_22
transcript.pyannote[1576].start 12010.62659375
transcript.pyannote[1576].end 12012.33096875
transcript.pyannote[1577].speaker SPEAKER_26
transcript.pyannote[1577].start 12012.80346875
transcript.pyannote[1577].end 12013.66409375
transcript.pyannote[1578].speaker SPEAKER_26
transcript.pyannote[1578].start 12018.79409375
transcript.pyannote[1578].end 12019.28346875
transcript.pyannote[1579].speaker SPEAKER_27
transcript.pyannote[1579].start 12019.28346875
transcript.pyannote[1579].end 12019.55346875
transcript.pyannote[1580].speaker SPEAKER_22
transcript.pyannote[1580].start 12019.68846875
transcript.pyannote[1580].end 12046.90784375
transcript.pyannote[1581].speaker SPEAKER_27
transcript.pyannote[1581].start 12021.05534375
transcript.pyannote[1581].end 12021.12284375
transcript.pyannote[1582].speaker SPEAKER_26
transcript.pyannote[1582].start 12021.12284375
transcript.pyannote[1582].end 12021.56159375
transcript.pyannote[1583].speaker SPEAKER_27
transcript.pyannote[1583].start 12021.56159375
transcript.pyannote[1583].end 12021.62909375
transcript.pyannote[1584].speaker SPEAKER_22
transcript.pyannote[1584].start 12046.95846875
transcript.pyannote[1584].end 12054.09659375
transcript.pyannote[1585].speaker SPEAKER_22
transcript.pyannote[1585].start 12054.99096875
transcript.pyannote[1585].end 12096.99284375
transcript.pyannote[1586].speaker SPEAKER_22
transcript.pyannote[1586].start 12097.46534375
transcript.pyannote[1586].end 12114.42471875
transcript.pyannote[1587].speaker SPEAKER_22
transcript.pyannote[1587].start 12114.71159375
transcript.pyannote[1587].end 12115.21784375
transcript.pyannote[1588].speaker SPEAKER_22
transcript.pyannote[1588].start 12115.38659375
transcript.pyannote[1588].end 12149.03534375
transcript.pyannote[1589].speaker SPEAKER_05
transcript.pyannote[1589].start 12150.43596875
transcript.pyannote[1589].end 12155.68409375
transcript.pyannote[1590].speaker SPEAKER_05
transcript.pyannote[1590].start 12156.15659375
transcript.pyannote[1590].end 12160.44284375
transcript.pyannote[1591].speaker SPEAKER_05
transcript.pyannote[1591].start 12160.47659375
transcript.pyannote[1591].end 12166.09596875
transcript.pyannote[1592].speaker SPEAKER_08
transcript.pyannote[1592].start 12160.52721875
transcript.pyannote[1592].end 12160.84784375
transcript.pyannote[1593].speaker SPEAKER_05
transcript.pyannote[1593].start 12166.48409375
transcript.pyannote[1593].end 12167.74971875
transcript.pyannote[1594].speaker SPEAKER_05
transcript.pyannote[1594].start 12167.90159375
transcript.pyannote[1594].end 12175.41096875
transcript.pyannote[1595].speaker SPEAKER_05
transcript.pyannote[1595].start 12175.74846875
transcript.pyannote[1595].end 12176.67659375
transcript.pyannote[1596].speaker SPEAKER_05
transcript.pyannote[1596].start 12176.82846875
transcript.pyannote[1596].end 12186.80159375
transcript.pyannote[1597].speaker SPEAKER_22
transcript.pyannote[1597].start 12185.72159375
transcript.pyannote[1597].end 12186.22784375
transcript.pyannote[1598].speaker SPEAKER_22
transcript.pyannote[1598].start 12186.88596875
transcript.pyannote[1598].end 12242.18534375
transcript.pyannote[1599].speaker SPEAKER_22
transcript.pyannote[1599].start 12242.28659375
transcript.pyannote[1599].end 12261.77721875
transcript.pyannote[1600].speaker SPEAKER_22
transcript.pyannote[1600].start 12262.40159375
transcript.pyannote[1600].end 12279.39471875
transcript.pyannote[1601].speaker SPEAKER_05
transcript.pyannote[1601].start 12279.42846875
transcript.pyannote[1601].end 12280.37346875
transcript.pyannote[1602].speaker SPEAKER_05
transcript.pyannote[1602].start 12280.96409375
transcript.pyannote[1602].end 12284.87909375
transcript.pyannote[1603].speaker SPEAKER_08
transcript.pyannote[1603].start 12284.87909375
transcript.pyannote[1603].end 12285.18284375
transcript.pyannote[1604].speaker SPEAKER_05
transcript.pyannote[1604].start 12285.04784375
transcript.pyannote[1604].end 12315.59159375
transcript.pyannote[1605].speaker SPEAKER_08
transcript.pyannote[1605].start 12305.43284375
transcript.pyannote[1605].end 12305.97284375
transcript.pyannote[1606].speaker SPEAKER_00
transcript.pyannote[1606].start 12305.97284375
transcript.pyannote[1606].end 12306.02346875
transcript.pyannote[1607].speaker SPEAKER_21
transcript.pyannote[1607].start 12306.02346875
transcript.pyannote[1607].end 12306.19221875
transcript.pyannote[1608].speaker SPEAKER_00
transcript.pyannote[1608].start 12306.19221875
transcript.pyannote[1608].end 12306.34409375
transcript.pyannote[1609].speaker SPEAKER_22
transcript.pyannote[1609].start 12315.59159375
transcript.pyannote[1609].end 12321.83534375
transcript.pyannote[1610].speaker SPEAKER_08
transcript.pyannote[1610].start 12321.27846875
transcript.pyannote[1610].end 12321.31221875
transcript.pyannote[1611].speaker SPEAKER_05
transcript.pyannote[1611].start 12321.31221875
transcript.pyannote[1611].end 12321.32909375
transcript.pyannote[1612].speaker SPEAKER_08
transcript.pyannote[1612].start 12321.32909375
transcript.pyannote[1612].end 12322.29096875
transcript.pyannote[1613].speaker SPEAKER_22
transcript.pyannote[1613].start 12322.22346875
transcript.pyannote[1613].end 12322.99971875
transcript.pyannote[1614].speaker SPEAKER_05
transcript.pyannote[1614].start 12322.29096875
transcript.pyannote[1614].end 12322.30784375
transcript.pyannote[1615].speaker SPEAKER_08
transcript.pyannote[1615].start 12322.45971875
transcript.pyannote[1615].end 12322.96596875
transcript.pyannote[1616].speaker SPEAKER_22
transcript.pyannote[1616].start 12323.75909375
transcript.pyannote[1616].end 12331.70721875
transcript.pyannote[1617].speaker SPEAKER_22
transcript.pyannote[1617].start 12332.73659375
transcript.pyannote[1617].end 12338.81159375
transcript.pyannote[1618].speaker SPEAKER_08
transcript.pyannote[1618].start 12337.12409375
transcript.pyannote[1618].end 12337.47846875
transcript.pyannote[1619].speaker SPEAKER_08
transcript.pyannote[1619].start 12338.42346875
transcript.pyannote[1619].end 12339.23346875
transcript.pyannote[1620].speaker SPEAKER_22
transcript.pyannote[1620].start 12339.18284375
transcript.pyannote[1620].end 12339.55409375
transcript.pyannote[1621].speaker SPEAKER_22
transcript.pyannote[1621].start 12339.94221875
transcript.pyannote[1621].end 12349.98284375
transcript.pyannote[1622].speaker SPEAKER_22
transcript.pyannote[1622].start 12350.42159375
transcript.pyannote[1622].end 12371.17784375
transcript.pyannote[1623].speaker SPEAKER_22
transcript.pyannote[1623].start 12371.41409375
transcript.pyannote[1623].end 12383.95221875
transcript.pyannote[1624].speaker SPEAKER_22
transcript.pyannote[1624].start 12384.35721875
transcript.pyannote[1624].end 12392.59221875
transcript.pyannote[1625].speaker SPEAKER_22
transcript.pyannote[1625].start 12393.04784375
transcript.pyannote[1625].end 12393.89159375
transcript.pyannote[1626].speaker SPEAKER_05
transcript.pyannote[1626].start 12394.97159375
transcript.pyannote[1626].end 12395.39346875
transcript.pyannote[1627].speaker SPEAKER_05
transcript.pyannote[1627].start 12396.11909375
transcript.pyannote[1627].end 12410.56409375
transcript.pyannote[1628].speaker SPEAKER_05
transcript.pyannote[1628].start 12410.78346875
transcript.pyannote[1628].end 12413.43284375
transcript.pyannote[1629].speaker SPEAKER_08
transcript.pyannote[1629].start 12413.55096875
transcript.pyannote[1629].end 12413.97284375
transcript.pyannote[1630].speaker SPEAKER_05
transcript.pyannote[1630].start 12413.87159375
transcript.pyannote[1630].end 12415.82909375
transcript.pyannote[1631].speaker SPEAKER_05
transcript.pyannote[1631].start 12416.08221875
transcript.pyannote[1631].end 12417.87096875
transcript.pyannote[1632].speaker SPEAKER_05
transcript.pyannote[1632].start 12418.10721875
transcript.pyannote[1632].end 12419.35596875
transcript.pyannote[1633].speaker SPEAKER_05
transcript.pyannote[1633].start 12419.62596875
transcript.pyannote[1633].end 12421.95471875
transcript.pyannote[1634].speaker SPEAKER_05
transcript.pyannote[1634].start 12422.19096875
transcript.pyannote[1634].end 12424.94159375
transcript.pyannote[1635].speaker SPEAKER_05
transcript.pyannote[1635].start 12425.14409375
transcript.pyannote[1635].end 12428.94096875
transcript.pyannote[1636].speaker SPEAKER_05
transcript.pyannote[1636].start 12429.39659375
transcript.pyannote[1636].end 12433.26096875
transcript.pyannote[1637].speaker SPEAKER_05
transcript.pyannote[1637].start 12433.80096875
transcript.pyannote[1637].end 12435.20159375
transcript.pyannote[1638].speaker SPEAKER_22
transcript.pyannote[1638].start 12434.37471875
transcript.pyannote[1638].end 12437.17596875
transcript.pyannote[1639].speaker SPEAKER_05
transcript.pyannote[1639].start 12438.03659375
transcript.pyannote[1639].end 12440.55096875
transcript.pyannote[1640].speaker SPEAKER_05
transcript.pyannote[1640].start 12440.78721875
transcript.pyannote[1640].end 12441.63096875
transcript.pyannote[1641].speaker SPEAKER_22
transcript.pyannote[1641].start 12441.05721875
transcript.pyannote[1641].end 12442.39034375
transcript.pyannote[1642].speaker SPEAKER_05
transcript.pyannote[1642].start 12441.79971875
transcript.pyannote[1642].end 12445.25909375
transcript.pyannote[1643].speaker SPEAKER_22
transcript.pyannote[1643].start 12445.69784375
transcript.pyannote[1643].end 12447.33471875
transcript.pyannote[1644].speaker SPEAKER_22
transcript.pyannote[1644].start 12447.43596875
transcript.pyannote[1644].end 12453.22409375
transcript.pyannote[1645].speaker SPEAKER_22
transcript.pyannote[1645].start 12453.29159375
transcript.pyannote[1645].end 12453.30846875
transcript.pyannote[1646].speaker SPEAKER_16
transcript.pyannote[1646].start 12453.30846875
transcript.pyannote[1646].end 12453.64596875
transcript.pyannote[1647].speaker SPEAKER_22
transcript.pyannote[1647].start 12453.39284375
transcript.pyannote[1647].end 12461.98221875
transcript.pyannote[1648].speaker SPEAKER_16
transcript.pyannote[1648].start 12457.30784375
transcript.pyannote[1648].end 12457.69596875
transcript.pyannote[1649].speaker SPEAKER_27
transcript.pyannote[1649].start 12457.69596875
transcript.pyannote[1649].end 12457.72971875
transcript.pyannote[1650].speaker SPEAKER_16
transcript.pyannote[1650].start 12458.50596875
transcript.pyannote[1650].end 12459.02909375
transcript.pyannote[1651].speaker SPEAKER_27
transcript.pyannote[1651].start 12459.02909375
transcript.pyannote[1651].end 12459.24846875
transcript.pyannote[1652].speaker SPEAKER_16
transcript.pyannote[1652].start 12459.24846875
transcript.pyannote[1652].end 12459.28221875
transcript.pyannote[1653].speaker SPEAKER_27
transcript.pyannote[1653].start 12459.28221875
transcript.pyannote[1653].end 12459.33284375
transcript.pyannote[1654].speaker SPEAKER_27
transcript.pyannote[1654].start 12461.98221875
transcript.pyannote[1654].end 12462.26909375
transcript.pyannote[1655].speaker SPEAKER_22
transcript.pyannote[1655].start 12462.65721875
transcript.pyannote[1655].end 12469.15409375
transcript.pyannote[1656].speaker SPEAKER_22
transcript.pyannote[1656].start 12469.57596875
transcript.pyannote[1656].end 12479.46471875
transcript.pyannote[1657].speaker SPEAKER_22
transcript.pyannote[1657].start 12479.81909375
transcript.pyannote[1657].end 12482.29971875
transcript.pyannote[1658].speaker SPEAKER_22
transcript.pyannote[1658].start 12482.60346875
transcript.pyannote[1658].end 12490.19721875
transcript.pyannote[1659].speaker SPEAKER_22
transcript.pyannote[1659].start 12491.26034375
transcript.pyannote[1659].end 12492.93096875
transcript.pyannote[1660].speaker SPEAKER_05
transcript.pyannote[1660].start 12494.82096875
transcript.pyannote[1660].end 12503.08971875
transcript.pyannote[1661].speaker SPEAKER_05
transcript.pyannote[1661].start 12503.98409375
transcript.pyannote[1661].end 12506.17784375
transcript.pyannote[1662].speaker SPEAKER_22
transcript.pyannote[1662].start 12504.77721875
transcript.pyannote[1662].end 12509.21534375
transcript.pyannote[1663].speaker SPEAKER_05
transcript.pyannote[1663].start 12507.64596875
transcript.pyannote[1663].end 12515.67846875
transcript.pyannote[1664].speaker SPEAKER_22
transcript.pyannote[1664].start 12515.59409375
transcript.pyannote[1664].end 12522.78284375
transcript.pyannote[1665].speaker SPEAKER_05
transcript.pyannote[1665].start 12516.18471875
transcript.pyannote[1665].end 12516.40409375
transcript.pyannote[1666].speaker SPEAKER_22
transcript.pyannote[1666].start 12523.18784375
transcript.pyannote[1666].end 12529.41471875
transcript.pyannote[1667].speaker SPEAKER_22
transcript.pyannote[1667].start 12529.80284375
transcript.pyannote[1667].end 12535.30409375
transcript.pyannote[1668].speaker SPEAKER_26
transcript.pyannote[1668].start 12535.27034375
transcript.pyannote[1668].end 12535.28721875
transcript.pyannote[1669].speaker SPEAKER_06
transcript.pyannote[1669].start 12535.28721875
transcript.pyannote[1669].end 12537.53159375
transcript.pyannote[1670].speaker SPEAKER_22
transcript.pyannote[1670].start 12535.33784375
transcript.pyannote[1670].end 12536.85659375
transcript.pyannote[1671].speaker SPEAKER_26
transcript.pyannote[1671].start 12539.86034375
transcript.pyannote[1671].end 12542.05409375
transcript.pyannote[1672].speaker SPEAKER_26
transcript.pyannote[1672].start 12542.56034375
transcript.pyannote[1672].end 12545.47971875
transcript.pyannote[1673].speaker SPEAKER_00
transcript.pyannote[1673].start 12550.60971875
transcript.pyannote[1673].end 12551.50409375
transcript.pyannote[1674].speaker SPEAKER_00
transcript.pyannote[1674].start 12551.99346875
transcript.pyannote[1674].end 12553.07346875
transcript.pyannote[1675].speaker SPEAKER_00
transcript.pyannote[1675].start 12553.96784375
transcript.pyannote[1675].end 12554.91284375
transcript.pyannote[1676].speaker SPEAKER_00
transcript.pyannote[1676].start 12557.41034375
transcript.pyannote[1676].end 12558.62534375
transcript.pyannote[1677].speaker SPEAKER_00
transcript.pyannote[1677].start 12558.87846875
transcript.pyannote[1677].end 12563.87346875
transcript.pyannote[1678].speaker SPEAKER_00
transcript.pyannote[1678].start 12564.41346875
transcript.pyannote[1678].end 12569.12159375
transcript.pyannote[1679].speaker SPEAKER_00
transcript.pyannote[1679].start 12569.72909375
transcript.pyannote[1679].end 12575.31471875
transcript.pyannote[1680].speaker SPEAKER_00
transcript.pyannote[1680].start 12575.97284375
transcript.pyannote[1680].end 12577.08659375
transcript.pyannote[1681].speaker SPEAKER_00
transcript.pyannote[1681].start 12578.55471875
transcript.pyannote[1681].end 12588.52784375
transcript.pyannote[1682].speaker SPEAKER_30
transcript.pyannote[1682].start 12580.07346875
transcript.pyannote[1682].end 12581.15346875
transcript.pyannote[1683].speaker SPEAKER_30
transcript.pyannote[1683].start 12581.47409375
transcript.pyannote[1683].end 12581.91284375
transcript.pyannote[1684].speaker SPEAKER_00
transcript.pyannote[1684].start 12588.89909375
transcript.pyannote[1684].end 12600.10409375
transcript.pyannote[1685].speaker SPEAKER_00
transcript.pyannote[1685].start 12600.59346875
transcript.pyannote[1685].end 12603.41159375
transcript.pyannote[1686].speaker SPEAKER_00
transcript.pyannote[1686].start 12603.68159375
transcript.pyannote[1686].end 12605.04846875
transcript.pyannote[1687].speaker SPEAKER_00
transcript.pyannote[1687].start 12605.38596875
transcript.pyannote[1687].end 12606.83721875
transcript.pyannote[1688].speaker SPEAKER_05
transcript.pyannote[1688].start 12609.57096875
transcript.pyannote[1688].end 12612.64221875
transcript.pyannote[1689].speaker SPEAKER_00
transcript.pyannote[1689].start 12611.51159375
transcript.pyannote[1689].end 12619.86471875
transcript.pyannote[1690].speaker SPEAKER_05
transcript.pyannote[1690].start 12621.31596875
transcript.pyannote[1690].end 12623.03721875
transcript.pyannote[1691].speaker SPEAKER_05
transcript.pyannote[1691].start 12623.54346875
transcript.pyannote[1691].end 12624.20159375
transcript.pyannote[1692].speaker SPEAKER_00
transcript.pyannote[1692].start 12624.55596875
transcript.pyannote[1692].end 12627.15471875
transcript.pyannote[1693].speaker SPEAKER_00
transcript.pyannote[1693].start 12627.34034375
transcript.pyannote[1693].end 12627.88034375
transcript.pyannote[1694].speaker SPEAKER_00
transcript.pyannote[1694].start 12628.11659375
transcript.pyannote[1694].end 12628.87596875
transcript.pyannote[1695].speaker SPEAKER_00
transcript.pyannote[1695].start 12629.09534375
transcript.pyannote[1695].end 12629.71971875
transcript.pyannote[1696].speaker SPEAKER_00
transcript.pyannote[1696].start 12629.97284375
transcript.pyannote[1696].end 12631.98096875
transcript.pyannote[1697].speaker SPEAKER_00
transcript.pyannote[1697].start 12633.66846875
transcript.pyannote[1697].end 12635.54159375
transcript.pyannote[1698].speaker SPEAKER_00
transcript.pyannote[1698].start 12635.74409375
transcript.pyannote[1698].end 12639.89534375
transcript.pyannote[1699].speaker SPEAKER_00
transcript.pyannote[1699].start 12639.96284375
transcript.pyannote[1699].end 12640.13159375
transcript.pyannote[1700].speaker SPEAKER_27
transcript.pyannote[1700].start 12640.08096875
transcript.pyannote[1700].end 12640.09784375
transcript.pyannote[1701].speaker SPEAKER_27
transcript.pyannote[1701].start 12640.13159375
transcript.pyannote[1701].end 12640.14846875
transcript.pyannote[1702].speaker SPEAKER_00
transcript.pyannote[1702].start 12640.14846875
transcript.pyannote[1702].end 12642.47721875
transcript.pyannote[1703].speaker SPEAKER_27
transcript.pyannote[1703].start 12640.16534375
transcript.pyannote[1703].end 12640.46909375
transcript.pyannote[1704].speaker SPEAKER_00
transcript.pyannote[1704].start 12642.66284375
transcript.pyannote[1704].end 12645.54846875
transcript.pyannote[1705].speaker SPEAKER_00
transcript.pyannote[1705].start 12645.97034375
transcript.pyannote[1705].end 12648.34971875
transcript.pyannote[1706].speaker SPEAKER_00
transcript.pyannote[1706].start 12649.02471875
transcript.pyannote[1706].end 12650.32409375
transcript.pyannote[1707].speaker SPEAKER_00
transcript.pyannote[1707].start 12650.86409375
transcript.pyannote[1707].end 12652.77096875
transcript.pyannote[1708].speaker SPEAKER_00
transcript.pyannote[1708].start 12652.97346875
transcript.pyannote[1708].end 12653.88471875
transcript.pyannote[1709].speaker SPEAKER_00
transcript.pyannote[1709].start 12654.15471875
transcript.pyannote[1709].end 12656.23034375
transcript.pyannote[1710].speaker SPEAKER_00
transcript.pyannote[1710].start 12656.53409375
transcript.pyannote[1710].end 12661.42784375
transcript.pyannote[1711].speaker SPEAKER_00
transcript.pyannote[1711].start 12661.90034375
transcript.pyannote[1711].end 12670.18596875
transcript.pyannote[1712].speaker SPEAKER_00
transcript.pyannote[1712].start 12670.32096875
transcript.pyannote[1712].end 12670.87784375
transcript.pyannote[1713].speaker SPEAKER_00
transcript.pyannote[1713].start 12671.13096875
transcript.pyannote[1713].end 12675.94034375
transcript.pyannote[1714].speaker SPEAKER_00
transcript.pyannote[1714].start 12676.90221875
transcript.pyannote[1714].end 12679.14659375
transcript.pyannote[1715].speaker SPEAKER_00
transcript.pyannote[1715].start 12679.75409375
transcript.pyannote[1715].end 12685.00221875
transcript.pyannote[1716].speaker SPEAKER_00
transcript.pyannote[1716].start 12686.14971875
transcript.pyannote[1716].end 12690.67221875
transcript.pyannote[1717].speaker SPEAKER_00
transcript.pyannote[1717].start 12690.73971875
transcript.pyannote[1717].end 12694.23284375
transcript.pyannote[1718].speaker SPEAKER_00
transcript.pyannote[1718].start 12694.70534375
transcript.pyannote[1718].end 12694.90784375
transcript.pyannote[1719].speaker SPEAKER_00
transcript.pyannote[1719].start 12695.43096875
transcript.pyannote[1719].end 12699.36284375
transcript.pyannote[1720].speaker SPEAKER_00
transcript.pyannote[1720].start 12699.46409375
transcript.pyannote[1720].end 12706.23096875
transcript.pyannote[1721].speaker SPEAKER_05
transcript.pyannote[1721].start 12706.41659375
transcript.pyannote[1721].end 12727.18971875
transcript.pyannote[1722].speaker SPEAKER_00
transcript.pyannote[1722].start 12726.88596875
transcript.pyannote[1722].end 12746.14034375
transcript.pyannote[1723].speaker SPEAKER_00
transcript.pyannote[1723].start 12746.51159375
transcript.pyannote[1723].end 12753.29534375
transcript.pyannote[1724].speaker SPEAKER_05
transcript.pyannote[1724].start 12753.29534375
transcript.pyannote[1724].end 12753.63284375
transcript.pyannote[1725].speaker SPEAKER_05
transcript.pyannote[1725].start 12753.88596875
transcript.pyannote[1725].end 12762.12096875
transcript.pyannote[1726].speaker SPEAKER_00
transcript.pyannote[1726].start 12762.44159375
transcript.pyannote[1726].end 12776.27909375
transcript.pyannote[1727].speaker SPEAKER_00
transcript.pyannote[1727].start 12776.73471875
transcript.pyannote[1727].end 12777.62909375
transcript.pyannote[1728].speaker SPEAKER_00
transcript.pyannote[1728].start 12778.52346875
transcript.pyannote[1728].end 12780.83534375
transcript.pyannote[1729].speaker SPEAKER_00
transcript.pyannote[1729].start 12780.91971875
transcript.pyannote[1729].end 12783.11346875
transcript.pyannote[1730].speaker SPEAKER_00
transcript.pyannote[1730].start 12783.24846875
transcript.pyannote[1730].end 12786.31971875
transcript.pyannote[1731].speaker SPEAKER_00
transcript.pyannote[1731].start 12786.58971875
transcript.pyannote[1731].end 12790.42034375
transcript.pyannote[1732].speaker SPEAKER_00
transcript.pyannote[1732].start 12790.84221875
transcript.pyannote[1732].end 12791.55096875
transcript.pyannote[1733].speaker SPEAKER_00
transcript.pyannote[1733].start 12792.10784375
transcript.pyannote[1733].end 12792.86721875
transcript.pyannote[1734].speaker SPEAKER_00
transcript.pyannote[1734].start 12793.25534375
transcript.pyannote[1734].end 12794.03159375
transcript.pyannote[1735].speaker SPEAKER_00
transcript.pyannote[1735].start 12794.97659375
transcript.pyannote[1735].end 12795.66846875
transcript.pyannote[1736].speaker SPEAKER_00
transcript.pyannote[1736].start 12796.20846875
transcript.pyannote[1736].end 12797.72721875
transcript.pyannote[1737].speaker SPEAKER_00
transcript.pyannote[1737].start 12799.44846875
transcript.pyannote[1737].end 12800.71409375
transcript.pyannote[1738].speaker SPEAKER_00
transcript.pyannote[1738].start 12801.76034375
transcript.pyannote[1738].end 12802.03034375
transcript.pyannote[1739].speaker SPEAKER_00
transcript.pyannote[1739].start 12802.19909375
transcript.pyannote[1739].end 12804.08909375
transcript.pyannote[1740].speaker SPEAKER_00
transcript.pyannote[1740].start 12804.34221875
transcript.pyannote[1740].end 12807.91971875
transcript.pyannote[1741].speaker SPEAKER_00
transcript.pyannote[1741].start 12808.20659375
transcript.pyannote[1741].end 12813.96096875
transcript.pyannote[1742].speaker SPEAKER_00
transcript.pyannote[1742].start 12814.41659375
transcript.pyannote[1742].end 12815.05784375
transcript.pyannote[1743].speaker SPEAKER_00
transcript.pyannote[1743].start 12816.45846875
transcript.pyannote[1743].end 12817.79159375
transcript.pyannote[1744].speaker SPEAKER_00
transcript.pyannote[1744].start 12818.28096875
transcript.pyannote[1744].end 12819.27659375
transcript.pyannote[1745].speaker SPEAKER_00
transcript.pyannote[1745].start 12819.73221875
transcript.pyannote[1745].end 12821.40284375
transcript.pyannote[1746].speaker SPEAKER_00
transcript.pyannote[1746].start 12821.63909375
transcript.pyannote[1746].end 12824.52471875
transcript.pyannote[1747].speaker SPEAKER_00
transcript.pyannote[1747].start 12825.04784375
transcript.pyannote[1747].end 12825.95909375
transcript.pyannote[1748].speaker SPEAKER_00
transcript.pyannote[1748].start 12826.34721875
transcript.pyannote[1748].end 12828.69284375
transcript.pyannote[1749].speaker SPEAKER_05
transcript.pyannote[1749].start 12828.69284375
transcript.pyannote[1749].end 12829.06409375
transcript.pyannote[1750].speaker SPEAKER_00
transcript.pyannote[1750].start 12829.06409375
transcript.pyannote[1750].end 12829.48596875
transcript.pyannote[1751].speaker SPEAKER_05
transcript.pyannote[1751].start 12829.48596875
transcript.pyannote[1751].end 12830.56596875
transcript.pyannote[1752].speaker SPEAKER_05
transcript.pyannote[1752].start 12830.86971875
transcript.pyannote[1752].end 12836.23596875
transcript.pyannote[1753].speaker SPEAKER_00
transcript.pyannote[1753].start 12833.68784375
transcript.pyannote[1753].end 12835.30784375
transcript.pyannote[1754].speaker SPEAKER_00
transcript.pyannote[1754].start 12836.23596875
transcript.pyannote[1754].end 12836.38784375
transcript.pyannote[1755].speaker SPEAKER_00
transcript.pyannote[1755].start 12836.70846875
transcript.pyannote[1755].end 12845.92221875
transcript.pyannote[1756].speaker SPEAKER_27
transcript.pyannote[1756].start 12845.92221875
transcript.pyannote[1756].end 12846.20909375
transcript.pyannote[1757].speaker SPEAKER_00
transcript.pyannote[1757].start 12846.61409375
transcript.pyannote[1757].end 12871.90971875
transcript.pyannote[1758].speaker SPEAKER_05
transcript.pyannote[1758].start 12857.85284375
transcript.pyannote[1758].end 12860.26596875
transcript.pyannote[1759].speaker SPEAKER_06
transcript.pyannote[1759].start 12870.57659375
transcript.pyannote[1759].end 12870.86346875
transcript.pyannote[1760].speaker SPEAKER_00
transcript.pyannote[1760].start 12872.26409375
transcript.pyannote[1760].end 12873.17534375
transcript.pyannote[1761].speaker SPEAKER_00
transcript.pyannote[1761].start 12873.25971875
transcript.pyannote[1761].end 12874.45784375
transcript.pyannote[1762].speaker SPEAKER_06
transcript.pyannote[1762].start 12874.45784375
transcript.pyannote[1762].end 12874.72784375
transcript.pyannote[1763].speaker SPEAKER_00
transcript.pyannote[1763].start 12875.08221875
transcript.pyannote[1763].end 12876.31409375
transcript.pyannote[1764].speaker SPEAKER_06
transcript.pyannote[1764].start 12875.11596875
transcript.pyannote[1764].end 12877.66409375
transcript.pyannote[1765].speaker SPEAKER_00
transcript.pyannote[1765].start 12876.93846875
transcript.pyannote[1765].end 12882.06846875
transcript.pyannote[1766].speaker SPEAKER_00
transcript.pyannote[1766].start 12882.10221875
transcript.pyannote[1766].end 12883.51971875
transcript.pyannote[1767].speaker SPEAKER_06
transcript.pyannote[1767].start 12882.27096875
transcript.pyannote[1767].end 12882.60846875
transcript.pyannote[1768].speaker SPEAKER_30
transcript.pyannote[1768].start 12882.60846875
transcript.pyannote[1768].end 12883.03034375
transcript.pyannote[1769].speaker SPEAKER_26
transcript.pyannote[1769].start 12883.03034375
transcript.pyannote[1769].end 12883.31721875
transcript.pyannote[1770].speaker SPEAKER_00
transcript.pyannote[1770].start 12883.85721875
transcript.pyannote[1770].end 12884.75159375
transcript.pyannote[1771].speaker SPEAKER_26
transcript.pyannote[1771].start 12885.12284375
transcript.pyannote[1771].end 12885.35909375
transcript.pyannote[1772].speaker SPEAKER_26
transcript.pyannote[1772].start 12887.29971875
transcript.pyannote[1772].end 12892.00784375
transcript.pyannote[1773].speaker SPEAKER_25
transcript.pyannote[1773].start 12903.95534375
transcript.pyannote[1773].end 12906.25034375
transcript.pyannote[1774].speaker SPEAKER_25
transcript.pyannote[1774].start 12907.88721875
transcript.pyannote[1774].end 12908.71409375
transcript.pyannote[1775].speaker SPEAKER_25
transcript.pyannote[1775].start 12913.32096875
transcript.pyannote[1775].end 12913.86096875
transcript.pyannote[1776].speaker SPEAKER_25
transcript.pyannote[1776].start 12914.19846875
transcript.pyannote[1776].end 12916.78034375
transcript.pyannote[1777].speaker SPEAKER_25
transcript.pyannote[1777].start 12917.20221875
transcript.pyannote[1777].end 12921.62346875
transcript.pyannote[1778].speaker SPEAKER_25
transcript.pyannote[1778].start 12921.87659375
transcript.pyannote[1778].end 12924.42471875
transcript.pyannote[1779].speaker SPEAKER_25
transcript.pyannote[1779].start 12924.72846875
transcript.pyannote[1779].end 12932.05221875
transcript.pyannote[1780].speaker SPEAKER_25
transcript.pyannote[1780].start 12932.20409375
transcript.pyannote[1780].end 12936.35534375
transcript.pyannote[1781].speaker SPEAKER_25
transcript.pyannote[1781].start 12936.69284375
transcript.pyannote[1781].end 12937.80659375
transcript.pyannote[1782].speaker SPEAKER_25
transcript.pyannote[1782].start 12937.97534375
transcript.pyannote[1782].end 12942.07596875
transcript.pyannote[1783].speaker SPEAKER_25
transcript.pyannote[1783].start 12942.58221875
transcript.pyannote[1783].end 12950.15909375
transcript.pyannote[1784].speaker SPEAKER_00
transcript.pyannote[1784].start 12944.40471875
transcript.pyannote[1784].end 12944.69159375
transcript.pyannote[1785].speaker SPEAKER_25
transcript.pyannote[1785].start 12950.76659375
transcript.pyannote[1785].end 12952.50471875
transcript.pyannote[1786].speaker SPEAKER_25
transcript.pyannote[1786].start 12952.92659375
transcript.pyannote[1786].end 12954.69846875
transcript.pyannote[1787].speaker SPEAKER_25
transcript.pyannote[1787].start 12954.85034375
transcript.pyannote[1787].end 12958.27596875
transcript.pyannote[1788].speaker SPEAKER_25
transcript.pyannote[1788].start 12958.84971875
transcript.pyannote[1788].end 12959.94659375
transcript.pyannote[1789].speaker SPEAKER_25
transcript.pyannote[1789].start 12960.18284375
transcript.pyannote[1789].end 12967.37159375
transcript.pyannote[1790].speaker SPEAKER_25
transcript.pyannote[1790].start 12967.69221875
transcript.pyannote[1790].end 12969.24471875
transcript.pyannote[1791].speaker SPEAKER_25
transcript.pyannote[1791].start 12969.66659375
transcript.pyannote[1791].end 12975.37034375
transcript.pyannote[1792].speaker SPEAKER_25
transcript.pyannote[1792].start 12975.87659375
transcript.pyannote[1792].end 12981.22596875
transcript.pyannote[1793].speaker SPEAKER_05
transcript.pyannote[1793].start 12981.22596875
transcript.pyannote[1793].end 12992.93721875
transcript.pyannote[1794].speaker SPEAKER_05
transcript.pyannote[1794].start 12993.34221875
transcript.pyannote[1794].end 13002.85971875
transcript.pyannote[1795].speaker SPEAKER_02
transcript.pyannote[1795].start 12994.89471875
transcript.pyannote[1795].end 12995.14784375
transcript.pyannote[1796].speaker SPEAKER_25
transcript.pyannote[1796].start 13002.04971875
transcript.pyannote[1796].end 13004.26034375
transcript.pyannote[1797].speaker SPEAKER_05
transcript.pyannote[1797].start 13004.26034375
transcript.pyannote[1797].end 13004.81721875
transcript.pyannote[1798].speaker SPEAKER_25
transcript.pyannote[1798].start 13004.81721875
transcript.pyannote[1798].end 13004.83409375
transcript.pyannote[1799].speaker SPEAKER_05
transcript.pyannote[1799].start 13004.83409375
transcript.pyannote[1799].end 13004.85096875
transcript.pyannote[1800].speaker SPEAKER_25
transcript.pyannote[1800].start 13004.85096875
transcript.pyannote[1800].end 13004.86784375
transcript.pyannote[1801].speaker SPEAKER_05
transcript.pyannote[1801].start 13004.86784375
transcript.pyannote[1801].end 13004.88471875
transcript.pyannote[1802].speaker SPEAKER_25
transcript.pyannote[1802].start 13004.88471875
transcript.pyannote[1802].end 13005.03659375
transcript.pyannote[1803].speaker SPEAKER_05
transcript.pyannote[1803].start 13005.03659375
transcript.pyannote[1803].end 13005.28971875
transcript.pyannote[1804].speaker SPEAKER_25
transcript.pyannote[1804].start 13005.28971875
transcript.pyannote[1804].end 13005.30659375
transcript.pyannote[1805].speaker SPEAKER_05
transcript.pyannote[1805].start 13005.30659375
transcript.pyannote[1805].end 13005.35721875
transcript.pyannote[1806].speaker SPEAKER_25
transcript.pyannote[1806].start 13005.35721875
transcript.pyannote[1806].end 13005.42471875
transcript.pyannote[1807].speaker SPEAKER_05
transcript.pyannote[1807].start 13005.42471875
transcript.pyannote[1807].end 13005.47534375
transcript.pyannote[1808].speaker SPEAKER_25
transcript.pyannote[1808].start 13005.47534375
transcript.pyannote[1808].end 13006.03221875
transcript.pyannote[1809].speaker SPEAKER_05
transcript.pyannote[1809].start 13006.03221875
transcript.pyannote[1809].end 13023.51471875
transcript.pyannote[1810].speaker SPEAKER_05
transcript.pyannote[1810].start 13024.03784375
transcript.pyannote[1810].end 13027.19346875
transcript.pyannote[1811].speaker SPEAKER_05
transcript.pyannote[1811].start 13027.39596875
transcript.pyannote[1811].end 13029.96096875
transcript.pyannote[1812].speaker SPEAKER_05
transcript.pyannote[1812].start 13030.50096875
transcript.pyannote[1812].end 13033.97721875
transcript.pyannote[1813].speaker SPEAKER_25
transcript.pyannote[1813].start 13033.97721875
transcript.pyannote[1813].end 13034.93909375
transcript.pyannote[1814].speaker SPEAKER_05
transcript.pyannote[1814].start 13034.93909375
transcript.pyannote[1814].end 13034.95596875
transcript.pyannote[1815].speaker SPEAKER_25
transcript.pyannote[1815].start 13034.95596875
transcript.pyannote[1815].end 13038.66846875
transcript.pyannote[1816].speaker SPEAKER_25
transcript.pyannote[1816].start 13038.78659375
transcript.pyannote[1816].end 13041.25034375
transcript.pyannote[1817].speaker SPEAKER_05
transcript.pyannote[1817].start 13040.49096875
transcript.pyannote[1817].end 13048.03409375
transcript.pyannote[1818].speaker SPEAKER_25
transcript.pyannote[1818].start 13041.46971875
transcript.pyannote[1818].end 13041.89159375
transcript.pyannote[1819].speaker SPEAKER_25
transcript.pyannote[1819].start 13043.64659375
transcript.pyannote[1819].end 13044.35534375
transcript.pyannote[1820].speaker SPEAKER_25
transcript.pyannote[1820].start 13046.12721875
transcript.pyannote[1820].end 13046.81909375
transcript.pyannote[1821].speaker SPEAKER_25
transcript.pyannote[1821].start 13047.46034375
transcript.pyannote[1821].end 13047.54471875
transcript.pyannote[1822].speaker SPEAKER_25
transcript.pyannote[1822].start 13048.03409375
transcript.pyannote[1822].end 13048.70909375
transcript.pyannote[1823].speaker SPEAKER_05
transcript.pyannote[1823].start 13048.10159375
transcript.pyannote[1823].end 13048.96221875
transcript.pyannote[1824].speaker SPEAKER_25
transcript.pyannote[1824].start 13048.96221875
transcript.pyannote[1824].end 13061.48346875
transcript.pyannote[1825].speaker SPEAKER_05
transcript.pyannote[1825].start 13049.43471875
transcript.pyannote[1825].end 13051.83096875
transcript.pyannote[1826].speaker SPEAKER_00
transcript.pyannote[1826].start 13054.80096875
transcript.pyannote[1826].end 13054.83471875
transcript.pyannote[1827].speaker SPEAKER_05
transcript.pyannote[1827].start 13054.83471875
transcript.pyannote[1827].end 13054.96971875
transcript.pyannote[1828].speaker SPEAKER_00
transcript.pyannote[1828].start 13054.96971875
transcript.pyannote[1828].end 13055.27346875
transcript.pyannote[1829].speaker SPEAKER_25
transcript.pyannote[1829].start 13061.68596875
transcript.pyannote[1829].end 13070.76471875
transcript.pyannote[1830].speaker SPEAKER_05
transcript.pyannote[1830].start 13061.85471875
transcript.pyannote[1830].end 13062.24284375
transcript.pyannote[1831].speaker SPEAKER_05
transcript.pyannote[1831].start 13064.13284375
transcript.pyannote[1831].end 13064.84159375
transcript.pyannote[1832].speaker SPEAKER_05
transcript.pyannote[1832].start 13065.76971875
transcript.pyannote[1832].end 13066.71471875
transcript.pyannote[1833].speaker SPEAKER_25
transcript.pyannote[1833].start 13071.40596875
transcript.pyannote[1833].end 13076.28284375
transcript.pyannote[1834].speaker SPEAKER_05
transcript.pyannote[1834].start 13074.89909375
transcript.pyannote[1834].end 13094.44034375
transcript.pyannote[1835].speaker SPEAKER_27
transcript.pyannote[1835].start 13086.59346875
transcript.pyannote[1835].end 13086.61034375
transcript.pyannote[1836].speaker SPEAKER_29
transcript.pyannote[1836].start 13086.61034375
transcript.pyannote[1836].end 13086.77909375
transcript.pyannote[1837].speaker SPEAKER_27
transcript.pyannote[1837].start 13086.77909375
transcript.pyannote[1837].end 13086.79596875
transcript.pyannote[1838].speaker SPEAKER_29
transcript.pyannote[1838].start 13086.79596875
transcript.pyannote[1838].end 13086.81284375
transcript.pyannote[1839].speaker SPEAKER_27
transcript.pyannote[1839].start 13086.81284375
transcript.pyannote[1839].end 13086.82971875
transcript.pyannote[1840].speaker SPEAKER_27
transcript.pyannote[1840].start 13086.84659375
transcript.pyannote[1840].end 13086.88034375
transcript.pyannote[1841].speaker SPEAKER_29
transcript.pyannote[1841].start 13086.88034375
transcript.pyannote[1841].end 13086.94784375
transcript.pyannote[1842].speaker SPEAKER_25
transcript.pyannote[1842].start 13089.64784375
transcript.pyannote[1842].end 13089.98534375
transcript.pyannote[1843].speaker SPEAKER_25
transcript.pyannote[1843].start 13093.44471875
transcript.pyannote[1843].end 13099.03034375
transcript.pyannote[1844].speaker SPEAKER_05
transcript.pyannote[1844].start 13094.49096875
transcript.pyannote[1844].end 13094.81159375
transcript.pyannote[1845].speaker SPEAKER_25
transcript.pyannote[1845].start 13099.41846875
transcript.pyannote[1845].end 13103.58659375
transcript.pyannote[1846].speaker SPEAKER_25
transcript.pyannote[1846].start 13104.31221875
transcript.pyannote[1846].end 13109.15534375
transcript.pyannote[1847].speaker SPEAKER_25
transcript.pyannote[1847].start 13109.47596875
transcript.pyannote[1847].end 13110.70784375
transcript.pyannote[1848].speaker SPEAKER_25
transcript.pyannote[1848].start 13111.23096875
transcript.pyannote[1848].end 13113.13784375
transcript.pyannote[1849].speaker SPEAKER_25
transcript.pyannote[1849].start 13113.69471875
transcript.pyannote[1849].end 13119.26346875
transcript.pyannote[1850].speaker SPEAKER_25
transcript.pyannote[1850].start 13119.49971875
transcript.pyannote[1850].end 13121.03534375
transcript.pyannote[1851].speaker SPEAKER_05
transcript.pyannote[1851].start 13121.03534375
transcript.pyannote[1851].end 13121.84534375
transcript.pyannote[1852].speaker SPEAKER_25
transcript.pyannote[1852].start 13122.31784375
transcript.pyannote[1852].end 13122.33471875
transcript.pyannote[1853].speaker SPEAKER_05
transcript.pyannote[1853].start 13122.33471875
transcript.pyannote[1853].end 13135.63221875
transcript.pyannote[1854].speaker SPEAKER_25
transcript.pyannote[1854].start 13122.77346875
transcript.pyannote[1854].end 13122.87471875
transcript.pyannote[1855].speaker SPEAKER_06
transcript.pyannote[1855].start 13122.87471875
transcript.pyannote[1855].end 13122.92534375
transcript.pyannote[1856].speaker SPEAKER_25
transcript.pyannote[1856].start 13122.92534375
transcript.pyannote[1856].end 13122.97596875
transcript.pyannote[1857].speaker SPEAKER_25
transcript.pyannote[1857].start 13122.99284375
transcript.pyannote[1857].end 13123.02659375
transcript.pyannote[1858].speaker SPEAKER_25
transcript.pyannote[1858].start 13135.17659375
transcript.pyannote[1858].end 13135.37909375
transcript.pyannote[1859].speaker SPEAKER_05
transcript.pyannote[1859].start 13136.07096875
transcript.pyannote[1859].end 13147.19159375
transcript.pyannote[1860].speaker SPEAKER_05
transcript.pyannote[1860].start 13147.46159375
transcript.pyannote[1860].end 13152.08534375
transcript.pyannote[1861].speaker SPEAKER_05
transcript.pyannote[1861].start 13152.49034375
transcript.pyannote[1861].end 13155.84846875
transcript.pyannote[1862].speaker SPEAKER_05
transcript.pyannote[1862].start 13156.21971875
transcript.pyannote[1862].end 13175.98034375
transcript.pyannote[1863].speaker SPEAKER_05
transcript.pyannote[1863].start 13176.08159375
transcript.pyannote[1863].end 13179.52409375
transcript.pyannote[1864].speaker SPEAKER_05
transcript.pyannote[1864].start 13179.87846875
transcript.pyannote[1864].end 13182.96659375
transcript.pyannote[1865].speaker SPEAKER_25
transcript.pyannote[1865].start 13182.96659375
transcript.pyannote[1865].end 13184.08034375
transcript.pyannote[1866].speaker SPEAKER_25
transcript.pyannote[1866].start 13184.70471875
transcript.pyannote[1866].end 13190.91471875
transcript.pyannote[1867].speaker SPEAKER_05
transcript.pyannote[1867].start 13190.91471875
transcript.pyannote[1867].end 13192.66971875
transcript.pyannote[1868].speaker SPEAKER_25
transcript.pyannote[1868].start 13191.89346875
transcript.pyannote[1868].end 13192.07909375
transcript.pyannote[1869].speaker SPEAKER_25
transcript.pyannote[1869].start 13192.66971875
transcript.pyannote[1869].end 13205.56221875
transcript.pyannote[1870].speaker SPEAKER_05
transcript.pyannote[1870].start 13194.12096875
transcript.pyannote[1870].end 13195.62284375
transcript.pyannote[1871].speaker SPEAKER_05
transcript.pyannote[1871].start 13198.40721875
transcript.pyannote[1871].end 13199.21721875
transcript.pyannote[1872].speaker SPEAKER_25
transcript.pyannote[1872].start 13205.91659375
transcript.pyannote[1872].end 13210.18596875
transcript.pyannote[1873].speaker SPEAKER_25
transcript.pyannote[1873].start 13210.72596875
transcript.pyannote[1873].end 13213.88159375
transcript.pyannote[1874].speaker SPEAKER_25
transcript.pyannote[1874].start 13214.52284375
transcript.pyannote[1874].end 13218.47159375
transcript.pyannote[1875].speaker SPEAKER_25
transcript.pyannote[1875].start 13218.84284375
transcript.pyannote[1875].end 13222.55534375
transcript.pyannote[1876].speaker SPEAKER_25
transcript.pyannote[1876].start 13223.19659375
transcript.pyannote[1876].end 13225.74471875
transcript.pyannote[1877].speaker SPEAKER_25
transcript.pyannote[1877].start 13226.14971875
transcript.pyannote[1877].end 13234.21596875
transcript.pyannote[1878].speaker SPEAKER_05
transcript.pyannote[1878].start 13234.43534375
transcript.pyannote[1878].end 13242.73784375
transcript.pyannote[1879].speaker SPEAKER_25
transcript.pyannote[1879].start 13235.32971875
transcript.pyannote[1879].end 13235.46471875
transcript.pyannote[1880].speaker SPEAKER_05
transcript.pyannote[1880].start 13243.14284375
transcript.pyannote[1880].end 13244.05409375
transcript.pyannote[1881].speaker SPEAKER_05
transcript.pyannote[1881].start 13244.35784375
transcript.pyannote[1881].end 13288.24971875
transcript.pyannote[1882].speaker SPEAKER_08
transcript.pyannote[1882].start 13246.73721875
transcript.pyannote[1882].end 13246.77096875
transcript.pyannote[1883].speaker SPEAKER_27
transcript.pyannote[1883].start 13246.77096875
transcript.pyannote[1883].end 13246.95659375
transcript.pyannote[1884].speaker SPEAKER_08
transcript.pyannote[1884].start 13246.95659375
transcript.pyannote[1884].end 13246.97346875
transcript.pyannote[1885].speaker SPEAKER_07
transcript.pyannote[1885].start 13273.51784375
transcript.pyannote[1885].end 13274.02409375
transcript.pyannote[1886].speaker SPEAKER_25
transcript.pyannote[1886].start 13274.02409375
transcript.pyannote[1886].end 13274.96909375
transcript.pyannote[1887].speaker SPEAKER_07
transcript.pyannote[1887].start 13274.96909375
transcript.pyannote[1887].end 13275.03659375
transcript.pyannote[1888].speaker SPEAKER_06
transcript.pyannote[1888].start 13275.03659375
transcript.pyannote[1888].end 13275.89721875
transcript.pyannote[1889].speaker SPEAKER_07
transcript.pyannote[1889].start 13275.89721875
transcript.pyannote[1889].end 13275.96471875
transcript.pyannote[1890].speaker SPEAKER_25
transcript.pyannote[1890].start 13286.89971875
transcript.pyannote[1890].end 13296.65346875
transcript.pyannote[1891].speaker SPEAKER_25
transcript.pyannote[1891].start 13297.04159375
transcript.pyannote[1891].end 13298.99909375
transcript.pyannote[1892].speaker SPEAKER_25
transcript.pyannote[1892].start 13299.50534375
transcript.pyannote[1892].end 13300.99034375
transcript.pyannote[1893].speaker SPEAKER_25
transcript.pyannote[1893].start 13301.49659375
transcript.pyannote[1893].end 13302.61034375
transcript.pyannote[1894].speaker SPEAKER_25
transcript.pyannote[1894].start 13302.91409375
transcript.pyannote[1894].end 13305.71534375
transcript.pyannote[1895].speaker SPEAKER_25
transcript.pyannote[1895].start 13306.03596875
transcript.pyannote[1895].end 13309.15784375
transcript.pyannote[1896].speaker SPEAKER_25
transcript.pyannote[1896].start 13309.42784375
transcript.pyannote[1896].end 13320.93659375
transcript.pyannote[1897].speaker SPEAKER_27
transcript.pyannote[1897].start 13317.46034375
transcript.pyannote[1897].end 13317.47721875
transcript.pyannote[1898].speaker SPEAKER_25
transcript.pyannote[1898].start 13321.25721875
transcript.pyannote[1898].end 13328.09159375
transcript.pyannote[1899].speaker SPEAKER_25
transcript.pyannote[1899].start 13328.69909375
transcript.pyannote[1899].end 13329.39096875
transcript.pyannote[1900].speaker SPEAKER_25
transcript.pyannote[1900].start 13330.04909375
transcript.pyannote[1900].end 13331.31471875
transcript.pyannote[1901].speaker SPEAKER_25
transcript.pyannote[1901].start 13331.58471875
transcript.pyannote[1901].end 13332.46221875
transcript.pyannote[1902].speaker SPEAKER_25
transcript.pyannote[1902].start 13332.81659375
transcript.pyannote[1902].end 13338.18284375
transcript.pyannote[1903].speaker SPEAKER_05
transcript.pyannote[1903].start 13337.82846875
transcript.pyannote[1903].end 13362.97221875
transcript.pyannote[1904].speaker SPEAKER_25
transcript.pyannote[1904].start 13338.90846875
transcript.pyannote[1904].end 13339.31346875
transcript.pyannote[1905].speaker SPEAKER_25
transcript.pyannote[1905].start 13344.67971875
transcript.pyannote[1905].end 13347.97034375
transcript.pyannote[1906].speaker SPEAKER_25
transcript.pyannote[1906].start 13362.29721875
transcript.pyannote[1906].end 13368.79409375
transcript.pyannote[1907].speaker SPEAKER_05
transcript.pyannote[1907].start 13364.00159375
transcript.pyannote[1907].end 13364.77784375
transcript.pyannote[1908].speaker SPEAKER_05
transcript.pyannote[1908].start 13368.03471875
transcript.pyannote[1908].end 13401.59909375
transcript.pyannote[1909].speaker SPEAKER_25
transcript.pyannote[1909].start 13368.97971875
transcript.pyannote[1909].end 13369.33409375
transcript.pyannote[1910].speaker SPEAKER_25
transcript.pyannote[1910].start 13371.42659375
transcript.pyannote[1910].end 13371.81471875
transcript.pyannote[1911].speaker SPEAKER_25
transcript.pyannote[1911].start 13390.95096875
transcript.pyannote[1911].end 13392.48659375
transcript.pyannote[1912].speaker SPEAKER_00
transcript.pyannote[1912].start 13392.48659375
transcript.pyannote[1912].end 13392.55409375
transcript.pyannote[1913].speaker SPEAKER_08
transcript.pyannote[1913].start 13401.73409375
transcript.pyannote[1913].end 13402.08846875
transcript.pyannote[1914].speaker SPEAKER_05
transcript.pyannote[1914].start 13401.98721875
transcript.pyannote[1914].end 13403.60721875
transcript.pyannote[1915].speaker SPEAKER_05
transcript.pyannote[1915].start 13403.80971875
transcript.pyannote[1915].end 13407.48846875
transcript.pyannote[1916].speaker SPEAKER_05
transcript.pyannote[1916].start 13407.85971875
transcript.pyannote[1916].end 13411.26846875
transcript.pyannote[1917].speaker SPEAKER_08
transcript.pyannote[1917].start 13407.99471875
transcript.pyannote[1917].end 13408.23096875
transcript.pyannote[1918].speaker SPEAKER_05
transcript.pyannote[1918].start 13411.57221875
transcript.pyannote[1918].end 13415.09909375
transcript.pyannote[1919].speaker SPEAKER_05
transcript.pyannote[1919].start 13417.63034375
transcript.pyannote[1919].end 13417.64721875
transcript.pyannote[1920].speaker SPEAKER_26
transcript.pyannote[1920].start 13417.64721875
transcript.pyannote[1920].end 13421.05596875
transcript.pyannote[1921].speaker SPEAKER_05
transcript.pyannote[1921].start 13418.25471875
transcript.pyannote[1921].end 13419.03096875
transcript.pyannote[1922].speaker SPEAKER_27
transcript.pyannote[1922].start 13419.03096875
transcript.pyannote[1922].end 13419.06471875
transcript.pyannote[1923].speaker SPEAKER_26
transcript.pyannote[1923].start 13421.54534375
transcript.pyannote[1923].end 13424.22846875
transcript.pyannote[1924].speaker SPEAKER_16
transcript.pyannote[1924].start 13444.22534375
transcript.pyannote[1924].end 13446.03096875
transcript.pyannote[1925].speaker SPEAKER_26
transcript.pyannote[1925].start 13446.18284375
transcript.pyannote[1925].end 13446.80721875
transcript.pyannote[1926].speaker SPEAKER_06
transcript.pyannote[1926].start 13454.62034375
transcript.pyannote[1926].end 13454.65409375
transcript.pyannote[1927].speaker SPEAKER_05
transcript.pyannote[1927].start 13454.65409375
transcript.pyannote[1927].end 13455.24471875
transcript.pyannote[1928].speaker SPEAKER_05
transcript.pyannote[1928].start 13455.26159375
transcript.pyannote[1928].end 13455.27846875
transcript.pyannote[1929].speaker SPEAKER_14
transcript.pyannote[1929].start 13455.27846875
transcript.pyannote[1929].end 13455.93659375
transcript.pyannote[1930].speaker SPEAKER_22
transcript.pyannote[1930].start 13455.93659375
transcript.pyannote[1930].end 13455.97034375
transcript.pyannote[1931].speaker SPEAKER_14
transcript.pyannote[1931].start 13456.57784375
transcript.pyannote[1931].end 13456.59471875
transcript.pyannote[1932].speaker SPEAKER_22
transcript.pyannote[1932].start 13456.59471875
transcript.pyannote[1932].end 13457.15159375
transcript.pyannote[1933].speaker SPEAKER_22
transcript.pyannote[1933].start 13458.36659375
transcript.pyannote[1933].end 13459.75034375
transcript.pyannote[1934].speaker SPEAKER_22
transcript.pyannote[1934].start 13460.15534375
transcript.pyannote[1934].end 13462.41659375
transcript.pyannote[1935].speaker SPEAKER_22
transcript.pyannote[1935].start 13462.77096875
transcript.pyannote[1935].end 13468.08659375
transcript.pyannote[1936].speaker SPEAKER_22
transcript.pyannote[1936].start 13468.44096875
transcript.pyannote[1936].end 13470.76971875
transcript.pyannote[1937].speaker SPEAKER_22
transcript.pyannote[1937].start 13471.02284375
transcript.pyannote[1937].end 13473.97596875
transcript.pyannote[1938].speaker SPEAKER_22
transcript.pyannote[1938].start 13474.41471875
transcript.pyannote[1938].end 13476.03471875
transcript.pyannote[1939].speaker SPEAKER_14
transcript.pyannote[1939].start 13476.03471875
transcript.pyannote[1939].end 13476.25409375
transcript.pyannote[1940].speaker SPEAKER_22
transcript.pyannote[1940].start 13476.25409375
transcript.pyannote[1940].end 13476.96284375
transcript.pyannote[1941].speaker SPEAKER_14
transcript.pyannote[1941].start 13476.96284375
transcript.pyannote[1941].end 13493.02784375
transcript.pyannote[1942].speaker SPEAKER_22
transcript.pyannote[1942].start 13493.02784375
transcript.pyannote[1942].end 13512.97409375
transcript.pyannote[1943].speaker SPEAKER_14
transcript.pyannote[1943].start 13512.97409375
transcript.pyannote[1943].end 13513.02471875
transcript.pyannote[1944].speaker SPEAKER_22
transcript.pyannote[1944].start 13513.02471875
transcript.pyannote[1944].end 13513.96971875
transcript.pyannote[1945].speaker SPEAKER_14
transcript.pyannote[1945].start 13513.96971875
transcript.pyannote[1945].end 13514.03721875
transcript.pyannote[1946].speaker SPEAKER_22
transcript.pyannote[1946].start 13514.03721875
transcript.pyannote[1946].end 13514.25659375
transcript.pyannote[1947].speaker SPEAKER_14
transcript.pyannote[1947].start 13514.25659375
transcript.pyannote[1947].end 13514.42534375
transcript.pyannote[1948].speaker SPEAKER_22
transcript.pyannote[1948].start 13514.42534375
transcript.pyannote[1948].end 13514.96534375
transcript.pyannote[1949].speaker SPEAKER_14
transcript.pyannote[1949].start 13514.96534375
transcript.pyannote[1949].end 13515.03284375
transcript.pyannote[1950].speaker SPEAKER_22
transcript.pyannote[1950].start 13515.03284375
transcript.pyannote[1950].end 13515.11721875
transcript.pyannote[1951].speaker SPEAKER_14
transcript.pyannote[1951].start 13515.11721875
transcript.pyannote[1951].end 13515.13409375
transcript.pyannote[1952].speaker SPEAKER_22
transcript.pyannote[1952].start 13515.13409375
transcript.pyannote[1952].end 13515.15096875
transcript.pyannote[1953].speaker SPEAKER_14
transcript.pyannote[1953].start 13515.15096875
transcript.pyannote[1953].end 13515.50534375
transcript.pyannote[1954].speaker SPEAKER_22
transcript.pyannote[1954].start 13515.50534375
transcript.pyannote[1954].end 13515.97784375
transcript.pyannote[1955].speaker SPEAKER_14
transcript.pyannote[1955].start 13515.97784375
transcript.pyannote[1955].end 13516.02846875
transcript.pyannote[1956].speaker SPEAKER_22
transcript.pyannote[1956].start 13516.02846875
transcript.pyannote[1956].end 13542.20159375
transcript.pyannote[1957].speaker SPEAKER_05
transcript.pyannote[1957].start 13543.09596875
transcript.pyannote[1957].end 13547.39909375
transcript.pyannote[1958].speaker SPEAKER_05
transcript.pyannote[1958].start 13547.83784375
transcript.pyannote[1958].end 13548.91784375
transcript.pyannote[1959].speaker SPEAKER_05
transcript.pyannote[1959].start 13549.10346875
transcript.pyannote[1959].end 13555.02659375
transcript.pyannote[1960].speaker SPEAKER_05
transcript.pyannote[1960].start 13555.33034375
transcript.pyannote[1960].end 13569.77534375
transcript.pyannote[1961].speaker SPEAKER_05
transcript.pyannote[1961].start 13569.80909375
transcript.pyannote[1961].end 13572.49221875
transcript.pyannote[1962].speaker SPEAKER_22
transcript.pyannote[1962].start 13571.46284375
transcript.pyannote[1962].end 13665.47346875
transcript.pyannote[1963].speaker SPEAKER_05
transcript.pyannote[1963].start 13667.56596875
transcript.pyannote[1963].end 13668.05534375
transcript.pyannote[1964].speaker SPEAKER_05
transcript.pyannote[1964].start 13668.49409375
transcript.pyannote[1964].end 13671.05909375
transcript.pyannote[1965].speaker SPEAKER_22
transcript.pyannote[1965].start 13668.62909375
transcript.pyannote[1965].end 13669.75971875
transcript.pyannote[1966].speaker SPEAKER_22
transcript.pyannote[1966].start 13670.55284375
transcript.pyannote[1966].end 13675.95284375
transcript.pyannote[1967].speaker SPEAKER_05
transcript.pyannote[1967].start 13671.91971875
transcript.pyannote[1967].end 13672.25721875
transcript.pyannote[1968].speaker SPEAKER_05
transcript.pyannote[1968].start 13674.67034375
transcript.pyannote[1968].end 13680.77909375
transcript.pyannote[1969].speaker SPEAKER_22
transcript.pyannote[1969].start 13678.99034375
transcript.pyannote[1969].end 13679.02409375
transcript.pyannote[1970].speaker SPEAKER_16
transcript.pyannote[1970].start 13679.02409375
transcript.pyannote[1970].end 13679.04096875
transcript.pyannote[1971].speaker SPEAKER_22
transcript.pyannote[1971].start 13679.04096875
transcript.pyannote[1971].end 13679.05784375
transcript.pyannote[1972].speaker SPEAKER_16
transcript.pyannote[1972].start 13679.05784375
transcript.pyannote[1972].end 13679.54721875
transcript.pyannote[1973].speaker SPEAKER_22
transcript.pyannote[1973].start 13679.56409375
transcript.pyannote[1973].end 13679.83409375
transcript.pyannote[1974].speaker SPEAKER_16
transcript.pyannote[1974].start 13679.83409375
transcript.pyannote[1974].end 13680.05346875
transcript.pyannote[1975].speaker SPEAKER_22
transcript.pyannote[1975].start 13680.82971875
transcript.pyannote[1975].end 13684.77846875
transcript.pyannote[1976].speaker SPEAKER_05
transcript.pyannote[1976].start 13685.53784375
transcript.pyannote[1976].end 13698.73409375
transcript.pyannote[1977].speaker SPEAKER_22
transcript.pyannote[1977].start 13688.71034375
transcript.pyannote[1977].end 13688.94659375
transcript.pyannote[1978].speaker SPEAKER_06
transcript.pyannote[1978].start 13688.94659375
transcript.pyannote[1978].end 13689.14909375
transcript.pyannote[1979].speaker SPEAKER_16
transcript.pyannote[1979].start 13689.14909375
transcript.pyannote[1979].end 13689.16596875
transcript.pyannote[1980].speaker SPEAKER_00
transcript.pyannote[1980].start 13689.16596875
transcript.pyannote[1980].end 13689.48659375
transcript.pyannote[1981].speaker SPEAKER_16
transcript.pyannote[1981].start 13689.48659375
transcript.pyannote[1981].end 13689.53721875
transcript.pyannote[1982].speaker SPEAKER_22
transcript.pyannote[1982].start 13689.70596875
transcript.pyannote[1982].end 13690.02659375
transcript.pyannote[1983].speaker SPEAKER_14
transcript.pyannote[1983].start 13690.02659375
transcript.pyannote[1983].end 13690.36409375
transcript.pyannote[1984].speaker SPEAKER_14
transcript.pyannote[1984].start 13695.05534375
transcript.pyannote[1984].end 13695.47721875
transcript.pyannote[1985].speaker SPEAKER_14
transcript.pyannote[1985].start 13697.58659375
transcript.pyannote[1985].end 13697.87346875
transcript.pyannote[1986].speaker SPEAKER_14
transcript.pyannote[1986].start 13698.34596875
transcript.pyannote[1986].end 13699.03784375
transcript.pyannote[1987].speaker SPEAKER_22
transcript.pyannote[1987].start 13699.03784375
transcript.pyannote[1987].end 13701.75471875
transcript.pyannote[1988].speaker SPEAKER_05
transcript.pyannote[1988].start 13701.61971875
transcript.pyannote[1988].end 13701.72096875
transcript.pyannote[1989].speaker SPEAKER_05
transcript.pyannote[1989].start 13701.75471875
transcript.pyannote[1989].end 13711.77846875
transcript.pyannote[1990].speaker SPEAKER_22
transcript.pyannote[1990].start 13702.09221875
transcript.pyannote[1990].end 13702.29471875
transcript.pyannote[1991].speaker SPEAKER_22
transcript.pyannote[1991].start 13702.44659375
transcript.pyannote[1991].end 13702.66596875
transcript.pyannote[1992].speaker SPEAKER_22
transcript.pyannote[1992].start 13708.65659375
transcript.pyannote[1992].end 13709.28096875
transcript.pyannote[1993].speaker SPEAKER_22
transcript.pyannote[1993].start 13711.05284375
transcript.pyannote[1993].end 13711.23846875
transcript.pyannote[1994].speaker SPEAKER_08
transcript.pyannote[1994].start 13711.23846875
transcript.pyannote[1994].end 13711.35659375
transcript.pyannote[1995].speaker SPEAKER_22
transcript.pyannote[1995].start 13711.35659375
transcript.pyannote[1995].end 13711.47471875
transcript.pyannote[1996].speaker SPEAKER_22
transcript.pyannote[1996].start 13711.71096875
transcript.pyannote[1996].end 13711.76159375
transcript.pyannote[1997].speaker SPEAKER_22
transcript.pyannote[1997].start 13711.77846875
transcript.pyannote[1997].end 13719.67596875
transcript.pyannote[1998].speaker SPEAKER_16
transcript.pyannote[1998].start 13719.64221875
transcript.pyannote[1998].end 13719.65909375
transcript.pyannote[1999].speaker SPEAKER_16
transcript.pyannote[1999].start 13719.67596875
transcript.pyannote[1999].end 13719.96284375
transcript.pyannote[2000].speaker SPEAKER_22
transcript.pyannote[2000].start 13719.87846875
transcript.pyannote[2000].end 13721.65034375
transcript.pyannote[2001].speaker SPEAKER_22
transcript.pyannote[2001].start 13721.93721875
transcript.pyannote[2001].end 13723.54034375
transcript.pyannote[2002].speaker SPEAKER_22
transcript.pyannote[2002].start 13724.31659375
transcript.pyannote[2002].end 13791.68159375
transcript.pyannote[2003].speaker SPEAKER_22
transcript.pyannote[2003].start 13792.39034375
transcript.pyannote[2003].end 13816.75784375
transcript.pyannote[2004].speaker SPEAKER_05
transcript.pyannote[2004].start 13817.01096875
transcript.pyannote[2004].end 13824.06471875
transcript.pyannote[2005].speaker SPEAKER_16
transcript.pyannote[2005].start 13824.06471875
transcript.pyannote[2005].end 13825.34721875
transcript.pyannote[2006].speaker SPEAKER_05
transcript.pyannote[2006].start 13824.99284375
transcript.pyannote[2006].end 13839.42096875
transcript.pyannote[2007].speaker SPEAKER_08
transcript.pyannote[2007].start 13828.33409375
transcript.pyannote[2007].end 13828.46909375
transcript.pyannote[2008].speaker SPEAKER_16
transcript.pyannote[2008].start 13828.46909375
transcript.pyannote[2008].end 13828.82346875
transcript.pyannote[2009].speaker SPEAKER_08
transcript.pyannote[2009].start 13828.82346875
transcript.pyannote[2009].end 13828.84034375
transcript.pyannote[2010].speaker SPEAKER_14
transcript.pyannote[2010].start 13839.53909375
transcript.pyannote[2010].end 13845.74909375
transcript.pyannote[2011].speaker SPEAKER_05
transcript.pyannote[2011].start 13839.92721875
transcript.pyannote[2011].end 13840.36596875
transcript.pyannote[2012].speaker SPEAKER_22
transcript.pyannote[2012].start 13845.74909375
transcript.pyannote[2012].end 13845.76596875
transcript.pyannote[2013].speaker SPEAKER_14
transcript.pyannote[2013].start 13846.62659375
transcript.pyannote[2013].end 13846.66034375
transcript.pyannote[2014].speaker SPEAKER_22
transcript.pyannote[2014].start 13846.66034375
transcript.pyannote[2014].end 13848.83721875
transcript.pyannote[2015].speaker SPEAKER_22
transcript.pyannote[2015].start 13849.39409375
transcript.pyannote[2015].end 13851.03096875
transcript.pyannote[2016].speaker SPEAKER_22
transcript.pyannote[2016].start 13851.95909375
transcript.pyannote[2016].end 13855.77284375
transcript.pyannote[2017].speaker SPEAKER_05
transcript.pyannote[2017].start 13856.12721875
transcript.pyannote[2017].end 13861.66221875
transcript.pyannote[2018].speaker SPEAKER_22
transcript.pyannote[2018].start 13860.86909375
transcript.pyannote[2018].end 13863.51846875
transcript.pyannote[2019].speaker SPEAKER_22
transcript.pyannote[2019].start 13863.88971875
transcript.pyannote[2019].end 13865.76284375
transcript.pyannote[2020].speaker SPEAKER_22
transcript.pyannote[2020].start 13866.43784375
transcript.pyannote[2020].end 13868.09159375
transcript.pyannote[2021].speaker SPEAKER_22
transcript.pyannote[2021].start 13868.53034375
transcript.pyannote[2021].end 13872.41159375
transcript.pyannote[2022].speaker SPEAKER_22
transcript.pyannote[2022].start 13872.93471875
transcript.pyannote[2022].end 13888.78034375
transcript.pyannote[2023].speaker SPEAKER_22
transcript.pyannote[2023].start 13889.16846875
transcript.pyannote[2023].end 13892.44221875
transcript.pyannote[2024].speaker SPEAKER_22
transcript.pyannote[2024].start 13892.76284375
transcript.pyannote[2024].end 13899.44534375
transcript.pyannote[2025].speaker SPEAKER_22
transcript.pyannote[2025].start 13900.18784375
transcript.pyannote[2025].end 13901.16659375
transcript.pyannote[2026].speaker SPEAKER_22
transcript.pyannote[2026].start 13901.25096875
transcript.pyannote[2026].end 13901.31846875
transcript.pyannote[2027].speaker SPEAKER_05
transcript.pyannote[2027].start 13901.31846875
transcript.pyannote[2027].end 13926.05721875
transcript.pyannote[2028].speaker SPEAKER_31
transcript.pyannote[2028].start 13914.86909375
transcript.pyannote[2028].end 13914.88596875
transcript.pyannote[2029].speaker SPEAKER_07
transcript.pyannote[2029].start 13914.88596875
transcript.pyannote[2029].end 13915.35846875
transcript.pyannote[2030].speaker SPEAKER_07
transcript.pyannote[2030].start 13918.21034375
transcript.pyannote[2030].end 13919.69534375
transcript.pyannote[2031].speaker SPEAKER_16
transcript.pyannote[2031].start 13925.93909375
transcript.pyannote[2031].end 13928.03159375
transcript.pyannote[2032].speaker SPEAKER_22
transcript.pyannote[2032].start 13928.03159375
transcript.pyannote[2032].end 13928.04846875
transcript.pyannote[2033].speaker SPEAKER_16
transcript.pyannote[2033].start 13928.04846875
transcript.pyannote[2033].end 13928.08221875
transcript.pyannote[2034].speaker SPEAKER_16
transcript.pyannote[2034].start 13928.33534375
transcript.pyannote[2034].end 13929.02721875
transcript.pyannote[2035].speaker SPEAKER_22
transcript.pyannote[2035].start 13929.02721875
transcript.pyannote[2035].end 13929.88784375
transcript.pyannote[2036].speaker SPEAKER_05
transcript.pyannote[2036].start 13929.82034375
transcript.pyannote[2036].end 13933.16159375
transcript.pyannote[2037].speaker SPEAKER_22
transcript.pyannote[2037].start 13933.04346875
transcript.pyannote[2037].end 13945.21034375
transcript.pyannote[2038].speaker SPEAKER_22
transcript.pyannote[2038].start 13945.34534375
transcript.pyannote[2038].end 13946.89784375
transcript.pyannote[2039].speaker SPEAKER_22
transcript.pyannote[2039].start 13947.72471875
transcript.pyannote[2039].end 13952.66909375
transcript.pyannote[2040].speaker SPEAKER_22
transcript.pyannote[2040].start 13953.27659375
transcript.pyannote[2040].end 13959.58784375
transcript.pyannote[2041].speaker SPEAKER_22
transcript.pyannote[2041].start 13959.99284375
transcript.pyannote[2041].end 13973.39159375
transcript.pyannote[2042].speaker SPEAKER_22
transcript.pyannote[2042].start 13974.16784375
transcript.pyannote[2042].end 13975.63596875
transcript.pyannote[2043].speaker SPEAKER_22
transcript.pyannote[2043].start 13976.17596875
transcript.pyannote[2043].end 13977.77909375
transcript.pyannote[2044].speaker SPEAKER_22
transcript.pyannote[2044].start 13978.55534375
transcript.pyannote[2044].end 13981.37346875
transcript.pyannote[2045].speaker SPEAKER_22
transcript.pyannote[2045].start 13982.20034375
transcript.pyannote[2045].end 13988.59596875
transcript.pyannote[2046].speaker SPEAKER_22
transcript.pyannote[2046].start 13988.91659375
transcript.pyannote[2046].end 13990.18221875
transcript.pyannote[2047].speaker SPEAKER_22
transcript.pyannote[2047].start 13990.75596875
transcript.pyannote[2047].end 13996.52721875
transcript.pyannote[2048].speaker SPEAKER_08
transcript.pyannote[2048].start 13996.59471875
transcript.pyannote[2048].end 13996.79721875
transcript.pyannote[2049].speaker SPEAKER_22
transcript.pyannote[2049].start 13997.06721875
transcript.pyannote[2049].end 14015.00534375
transcript.pyannote[2050].speaker SPEAKER_22
transcript.pyannote[2050].start 14015.02221875
transcript.pyannote[2050].end 14022.12659375
transcript.pyannote[2051].speaker SPEAKER_22
transcript.pyannote[2051].start 14022.48096875
transcript.pyannote[2051].end 14024.52284375
transcript.pyannote[2052].speaker SPEAKER_22
transcript.pyannote[2052].start 14024.86034375
transcript.pyannote[2052].end 14025.95721875
transcript.pyannote[2053].speaker SPEAKER_22
transcript.pyannote[2053].start 14026.24409375
transcript.pyannote[2053].end 14028.28596875
transcript.pyannote[2054].speaker SPEAKER_22
transcript.pyannote[2054].start 14029.39971875
transcript.pyannote[2054].end 14043.79409375
transcript.pyannote[2055].speaker SPEAKER_05
transcript.pyannote[2055].start 14043.94596875
transcript.pyannote[2055].end 14049.83534375
transcript.pyannote[2056].speaker SPEAKER_22
transcript.pyannote[2056].start 14047.37159375
transcript.pyannote[2056].end 14047.94534375
transcript.pyannote[2057].speaker SPEAKER_05
transcript.pyannote[2057].start 14050.30784375
transcript.pyannote[2057].end 14056.07909375
transcript.pyannote[2058].speaker SPEAKER_22
transcript.pyannote[2058].start 14055.08346875
transcript.pyannote[2058].end 14069.39346875
transcript.pyannote[2059].speaker SPEAKER_05
transcript.pyannote[2059].start 14069.59596875
transcript.pyannote[2059].end 14069.62971875
transcript.pyannote[2060].speaker SPEAKER_26
transcript.pyannote[2060].start 14069.62971875
transcript.pyannote[2060].end 14072.31284375
transcript.pyannote[2061].speaker SPEAKER_22
transcript.pyannote[2061].start 14072.31284375
transcript.pyannote[2061].end 14072.97096875
transcript.pyannote[2062].speaker SPEAKER_26
transcript.pyannote[2062].start 14072.97096875
transcript.pyannote[2062].end 14075.75534375
transcript.pyannote[2063].speaker SPEAKER_26
transcript.pyannote[2063].start 14076.36284375
transcript.pyannote[2063].end 14079.82221875
transcript.pyannote[2064].speaker SPEAKER_01
transcript.pyannote[2064].start 14093.96346875
transcript.pyannote[2064].end 14095.07721875
transcript.pyannote[2065].speaker SPEAKER_26
transcript.pyannote[2065].start 14099.29596875
transcript.pyannote[2065].end 14100.40971875
transcript.pyannote[2066].speaker SPEAKER_05
transcript.pyannote[2066].start 14107.37909375
transcript.pyannote[2066].end 14108.12159375
transcript.pyannote[2067].speaker SPEAKER_05
transcript.pyannote[2067].start 14110.23096875
transcript.pyannote[2067].end 14110.78784375
transcript.pyannote[2068].speaker SPEAKER_01
transcript.pyannote[2068].start 14110.78784375
transcript.pyannote[2068].end 14110.80471875
transcript.pyannote[2069].speaker SPEAKER_05
transcript.pyannote[2069].start 14111.54721875
transcript.pyannote[2069].end 14112.10409375
transcript.pyannote[2070].speaker SPEAKER_01
transcript.pyannote[2070].start 14112.52596875
transcript.pyannote[2070].end 14115.19221875
transcript.pyannote[2071].speaker SPEAKER_05
transcript.pyannote[2071].start 14115.51284375
transcript.pyannote[2071].end 14116.18784375
transcript.pyannote[2072].speaker SPEAKER_05
transcript.pyannote[2072].start 14116.57596875
transcript.pyannote[2072].end 14118.48284375
transcript.pyannote[2073].speaker SPEAKER_01
transcript.pyannote[2073].start 14116.67721875
transcript.pyannote[2073].end 14119.00596875
transcript.pyannote[2074].speaker SPEAKER_01
transcript.pyannote[2074].start 14119.49534375
transcript.pyannote[2074].end 14123.22471875
transcript.pyannote[2075].speaker SPEAKER_01
transcript.pyannote[2075].start 14124.01784375
transcript.pyannote[2075].end 14125.30034375
transcript.pyannote[2076].speaker SPEAKER_01
transcript.pyannote[2076].start 14125.99221875
transcript.pyannote[2076].end 14128.99596875
transcript.pyannote[2077].speaker SPEAKER_01
transcript.pyannote[2077].start 14130.00846875
transcript.pyannote[2077].end 14135.12159375
transcript.pyannote[2078].speaker SPEAKER_01
transcript.pyannote[2078].start 14135.18909375
transcript.pyannote[2078].end 14141.95596875
transcript.pyannote[2079].speaker SPEAKER_01
transcript.pyannote[2079].start 14142.37784375
transcript.pyannote[2079].end 14144.74034375
transcript.pyannote[2080].speaker SPEAKER_01
transcript.pyannote[2080].start 14146.05659375
transcript.pyannote[2080].end 14148.58784375
transcript.pyannote[2081].speaker SPEAKER_01
transcript.pyannote[2081].start 14149.02659375
transcript.pyannote[2081].end 14152.18221875
transcript.pyannote[2082].speaker SPEAKER_01
transcript.pyannote[2082].start 14152.90784375
transcript.pyannote[2082].end 14154.54471875
transcript.pyannote[2083].speaker SPEAKER_01
transcript.pyannote[2083].start 14154.81471875
transcript.pyannote[2083].end 14163.03284375
transcript.pyannote[2084].speaker SPEAKER_01
transcript.pyannote[2084].start 14163.91034375
transcript.pyannote[2084].end 14166.22221875
transcript.pyannote[2085].speaker SPEAKER_01
transcript.pyannote[2085].start 14166.57659375
transcript.pyannote[2085].end 14167.62284375
transcript.pyannote[2086].speaker SPEAKER_01
transcript.pyannote[2086].start 14168.68596875
transcript.pyannote[2086].end 14170.81221875
transcript.pyannote[2087].speaker SPEAKER_01
transcript.pyannote[2087].start 14170.96409375
transcript.pyannote[2087].end 14180.71784375
transcript.pyannote[2088].speaker SPEAKER_01
transcript.pyannote[2088].start 14181.19034375
transcript.pyannote[2088].end 14183.19846875
transcript.pyannote[2089].speaker SPEAKER_01
transcript.pyannote[2089].start 14184.04221875
transcript.pyannote[2089].end 14186.42159375
transcript.pyannote[2090].speaker SPEAKER_01
transcript.pyannote[2090].start 14186.89409375
transcript.pyannote[2090].end 14188.07534375
transcript.pyannote[2091].speaker SPEAKER_01
transcript.pyannote[2091].start 14188.53096875
transcript.pyannote[2091].end 14195.11221875
transcript.pyannote[2092].speaker SPEAKER_01
transcript.pyannote[2092].start 14195.28096875
transcript.pyannote[2092].end 14197.76159375
transcript.pyannote[2093].speaker SPEAKER_01
transcript.pyannote[2093].start 14198.20034375
transcript.pyannote[2093].end 14204.83221875
transcript.pyannote[2094].speaker SPEAKER_01
transcript.pyannote[2094].start 14205.52409375
transcript.pyannote[2094].end 14208.86534375
transcript.pyannote[2095].speaker SPEAKER_01
transcript.pyannote[2095].start 14209.48971875
transcript.pyannote[2095].end 14211.00846875
transcript.pyannote[2096].speaker SPEAKER_01
transcript.pyannote[2096].start 14211.26159375
transcript.pyannote[2096].end 14212.18971875
transcript.pyannote[2097].speaker SPEAKER_01
transcript.pyannote[2097].start 14213.05034375
transcript.pyannote[2097].end 14213.69159375
transcript.pyannote[2098].speaker SPEAKER_01
transcript.pyannote[2098].start 14214.01221875
transcript.pyannote[2098].end 14217.26909375
transcript.pyannote[2099].speaker SPEAKER_01
transcript.pyannote[2099].start 14218.14659375
transcript.pyannote[2099].end 14223.41159375
transcript.pyannote[2100].speaker SPEAKER_01
transcript.pyannote[2100].start 14224.05284375
transcript.pyannote[2100].end 14226.33096875
transcript.pyannote[2101].speaker SPEAKER_01
transcript.pyannote[2101].start 14226.90471875
transcript.pyannote[2101].end 14231.27534375
transcript.pyannote[2102].speaker SPEAKER_01
transcript.pyannote[2102].start 14231.79846875
transcript.pyannote[2102].end 14235.37596875
transcript.pyannote[2103].speaker SPEAKER_01
transcript.pyannote[2103].start 14236.21971875
transcript.pyannote[2103].end 14240.30346875
transcript.pyannote[2104].speaker SPEAKER_01
transcript.pyannote[2104].start 14240.75909375
transcript.pyannote[2104].end 14243.99909375
transcript.pyannote[2105].speaker SPEAKER_01
transcript.pyannote[2105].start 14244.48846875
transcript.pyannote[2105].end 14245.58534375
transcript.pyannote[2106].speaker SPEAKER_01
transcript.pyannote[2106].start 14245.88909375
transcript.pyannote[2106].end 14248.70721875
transcript.pyannote[2107].speaker SPEAKER_01
transcript.pyannote[2107].start 14249.14596875
transcript.pyannote[2107].end 14253.09471875
transcript.pyannote[2108].speaker SPEAKER_01
transcript.pyannote[2108].start 14253.46596875
transcript.pyannote[2108].end 14255.22096875
transcript.pyannote[2109].speaker SPEAKER_01
transcript.pyannote[2109].start 14255.82846875
transcript.pyannote[2109].end 14257.61721875
transcript.pyannote[2110].speaker SPEAKER_01
transcript.pyannote[2110].start 14258.22471875
transcript.pyannote[2110].end 14260.09784375
transcript.pyannote[2111].speaker SPEAKER_01
transcript.pyannote[2111].start 14260.63784375
transcript.pyannote[2111].end 14263.92846875
transcript.pyannote[2112].speaker SPEAKER_01
transcript.pyannote[2112].start 14263.96221875
transcript.pyannote[2112].end 14265.59909375
transcript.pyannote[2113].speaker SPEAKER_01
transcript.pyannote[2113].start 14265.85221875
transcript.pyannote[2113].end 14279.36909375
transcript.pyannote[2114].speaker SPEAKER_23
transcript.pyannote[2114].start 14279.36909375
transcript.pyannote[2114].end 14280.07784375
transcript.pyannote[2115].speaker SPEAKER_01
transcript.pyannote[2115].start 14279.62221875
transcript.pyannote[2115].end 14282.17034375
transcript.pyannote[2116].speaker SPEAKER_01
transcript.pyannote[2116].start 14282.32221875
transcript.pyannote[2116].end 14284.04346875
transcript.pyannote[2117].speaker SPEAKER_01
transcript.pyannote[2117].start 14284.24596875
transcript.pyannote[2117].end 14286.82784375
transcript.pyannote[2118].speaker SPEAKER_01
transcript.pyannote[2118].start 14287.11471875
transcript.pyannote[2118].end 14288.97096875
transcript.pyannote[2119].speaker SPEAKER_05
transcript.pyannote[2119].start 14288.97096875
transcript.pyannote[2119].end 14292.63284375
transcript.pyannote[2120].speaker SPEAKER_05
transcript.pyannote[2120].start 14293.02096875
transcript.pyannote[2120].end 14295.23159375
transcript.pyannote[2121].speaker SPEAKER_05
transcript.pyannote[2121].start 14295.68721875
transcript.pyannote[2121].end 14297.96534375
transcript.pyannote[2122].speaker SPEAKER_01
transcript.pyannote[2122].start 14296.10909375
transcript.pyannote[2122].end 14296.26096875
transcript.pyannote[2123].speaker SPEAKER_01
transcript.pyannote[2123].start 14297.96534375
transcript.pyannote[2123].end 14301.01971875
transcript.pyannote[2124].speaker SPEAKER_05
transcript.pyannote[2124].start 14298.10034375
transcript.pyannote[2124].end 14300.02409375
transcript.pyannote[2125].speaker SPEAKER_01
transcript.pyannote[2125].start 14301.39096875
transcript.pyannote[2125].end 14310.30096875
transcript.pyannote[2126].speaker SPEAKER_01
transcript.pyannote[2126].start 14311.49909375
transcript.pyannote[2126].end 14315.49846875
transcript.pyannote[2127].speaker SPEAKER_01
transcript.pyannote[2127].start 14315.95409375
transcript.pyannote[2127].end 14317.57409375
transcript.pyannote[2128].speaker SPEAKER_01
transcript.pyannote[2128].start 14318.23221875
transcript.pyannote[2128].end 14320.00409375
transcript.pyannote[2129].speaker SPEAKER_01
transcript.pyannote[2129].start 14320.69596875
transcript.pyannote[2129].end 14322.61971875
transcript.pyannote[2130].speaker SPEAKER_01
transcript.pyannote[2130].start 14323.12596875
transcript.pyannote[2130].end 14324.61096875
transcript.pyannote[2131].speaker SPEAKER_01
transcript.pyannote[2131].start 14324.79659375
transcript.pyannote[2131].end 14325.94409375
transcript.pyannote[2132].speaker SPEAKER_01
transcript.pyannote[2132].start 14326.55159375
transcript.pyannote[2132].end 14327.96909375
transcript.pyannote[2133].speaker SPEAKER_05
transcript.pyannote[2133].start 14328.34034375
transcript.pyannote[2133].end 14333.60534375
transcript.pyannote[2134].speaker SPEAKER_01
transcript.pyannote[2134].start 14331.19221875
transcript.pyannote[2134].end 14335.30971875
transcript.pyannote[2135].speaker SPEAKER_01
transcript.pyannote[2135].start 14335.66409375
transcript.pyannote[2135].end 14338.49909375
transcript.pyannote[2136].speaker SPEAKER_01
transcript.pyannote[2136].start 14338.73534375
transcript.pyannote[2136].end 14346.17721875
transcript.pyannote[2137].speaker SPEAKER_12
transcript.pyannote[2137].start 14342.24534375
transcript.pyannote[2137].end 14343.59534375
transcript.pyannote[2138].speaker SPEAKER_01
transcript.pyannote[2138].start 14346.58221875
transcript.pyannote[2138].end 14347.45971875
transcript.pyannote[2139].speaker SPEAKER_01
transcript.pyannote[2139].start 14348.33721875
transcript.pyannote[2139].end 14351.03721875
transcript.pyannote[2140].speaker SPEAKER_01
transcript.pyannote[2140].start 14351.56034375
transcript.pyannote[2140].end 14353.14659375
transcript.pyannote[2141].speaker SPEAKER_27
transcript.pyannote[2141].start 14353.45034375
transcript.pyannote[2141].end 14353.77096875
transcript.pyannote[2142].speaker SPEAKER_01
transcript.pyannote[2142].start 14353.72034375
transcript.pyannote[2142].end 14357.16284375
transcript.pyannote[2143].speaker SPEAKER_01
transcript.pyannote[2143].start 14357.78721875
transcript.pyannote[2143].end 14362.90034375
transcript.pyannote[2144].speaker SPEAKER_01
transcript.pyannote[2144].start 14363.20409375
transcript.pyannote[2144].end 14363.47409375
transcript.pyannote[2145].speaker SPEAKER_01
transcript.pyannote[2145].start 14364.63846875
transcript.pyannote[2145].end 14365.24596875
transcript.pyannote[2146].speaker SPEAKER_01
transcript.pyannote[2146].start 14365.48221875
transcript.pyannote[2146].end 14367.05159375
transcript.pyannote[2147].speaker SPEAKER_05
transcript.pyannote[2147].start 14367.15284375
transcript.pyannote[2147].end 14367.16971875
transcript.pyannote[2148].speaker SPEAKER_01
transcript.pyannote[2148].start 14367.16971875
transcript.pyannote[2148].end 14368.77284375
transcript.pyannote[2149].speaker SPEAKER_05
transcript.pyannote[2149].start 14369.75159375
transcript.pyannote[2149].end 14369.76846875
transcript.pyannote[2150].speaker SPEAKER_01
transcript.pyannote[2150].start 14369.76846875
transcript.pyannote[2150].end 14371.40534375
transcript.pyannote[2151].speaker SPEAKER_01
transcript.pyannote[2151].start 14371.99596875
transcript.pyannote[2151].end 14374.37534375
transcript.pyannote[2152].speaker SPEAKER_01
transcript.pyannote[2152].start 14374.78034375
transcript.pyannote[2152].end 14384.77034375
transcript.pyannote[2153].speaker SPEAKER_06
transcript.pyannote[2153].start 14383.28534375
transcript.pyannote[2153].end 14384.68596875
transcript.pyannote[2154].speaker SPEAKER_06
transcript.pyannote[2154].start 14384.77034375
transcript.pyannote[2154].end 14384.82096875
transcript.pyannote[2155].speaker SPEAKER_01
transcript.pyannote[2155].start 14385.41159375
transcript.pyannote[2155].end 14385.58034375
transcript.pyannote[2156].speaker SPEAKER_01
transcript.pyannote[2156].start 14386.25534375
transcript.pyannote[2156].end 14388.14534375
transcript.pyannote[2157].speaker SPEAKER_06
transcript.pyannote[2157].start 14388.46596875
transcript.pyannote[2157].end 14388.61784375
transcript.pyannote[2158].speaker SPEAKER_01
transcript.pyannote[2158].start 14388.61784375
transcript.pyannote[2158].end 14389.47846875
transcript.pyannote[2159].speaker SPEAKER_01
transcript.pyannote[2159].start 14390.45721875
transcript.pyannote[2159].end 14391.62159375
transcript.pyannote[2160].speaker SPEAKER_01
transcript.pyannote[2160].start 14391.85784375
transcript.pyannote[2160].end 14392.19534375
transcript.pyannote[2161].speaker SPEAKER_01
transcript.pyannote[2161].start 14392.33034375
transcript.pyannote[2161].end 14393.27534375
transcript.pyannote[2162].speaker SPEAKER_01
transcript.pyannote[2162].start 14393.81534375
transcript.pyannote[2162].end 14395.16534375
transcript.pyannote[2163].speaker SPEAKER_01
transcript.pyannote[2163].start 14395.62096875
transcript.pyannote[2163].end 14396.65034375
transcript.pyannote[2164].speaker SPEAKER_01
transcript.pyannote[2164].start 14397.89909375
transcript.pyannote[2164].end 14399.50221875
transcript.pyannote[2165].speaker SPEAKER_01
transcript.pyannote[2165].start 14399.94096875
transcript.pyannote[2165].end 14402.62409375
transcript.pyannote[2166].speaker SPEAKER_01
transcript.pyannote[2166].start 14403.23159375
transcript.pyannote[2166].end 14405.18909375
transcript.pyannote[2167].speaker SPEAKER_01
transcript.pyannote[2167].start 14405.47596875
transcript.pyannote[2167].end 14416.39409375
transcript.pyannote[2168].speaker SPEAKER_01
transcript.pyannote[2168].start 14416.56284375
transcript.pyannote[2168].end 14421.18659375
transcript.pyannote[2169].speaker SPEAKER_01
transcript.pyannote[2169].start 14421.22034375
transcript.pyannote[2169].end 14424.05534375
transcript.pyannote[2170].speaker SPEAKER_01
transcript.pyannote[2170].start 14424.44346875
transcript.pyannote[2170].end 14427.43034375
transcript.pyannote[2171].speaker SPEAKER_01
transcript.pyannote[2171].start 14428.81409375
transcript.pyannote[2171].end 14428.96596875
transcript.pyannote[2172].speaker SPEAKER_05
transcript.pyannote[2172].start 14428.96596875
transcript.pyannote[2172].end 14429.60721875
transcript.pyannote[2173].speaker SPEAKER_05
transcript.pyannote[2173].start 14430.21471875
transcript.pyannote[2173].end 14430.72096875
transcript.pyannote[2174].speaker SPEAKER_05
transcript.pyannote[2174].start 14431.05846875
transcript.pyannote[2174].end 14435.59784375
transcript.pyannote[2175].speaker SPEAKER_05
transcript.pyannote[2175].start 14435.61471875
transcript.pyannote[2175].end 14435.63159375
transcript.pyannote[2176].speaker SPEAKER_01
transcript.pyannote[2176].start 14435.63159375
transcript.pyannote[2176].end 14435.66534375
transcript.pyannote[2177].speaker SPEAKER_05
transcript.pyannote[2177].start 14435.66534375
transcript.pyannote[2177].end 14435.68221875
transcript.pyannote[2178].speaker SPEAKER_01
transcript.pyannote[2178].start 14435.68221875
transcript.pyannote[2178].end 14437.04909375
transcript.pyannote[2179].speaker SPEAKER_05
transcript.pyannote[2179].start 14436.01971875
transcript.pyannote[2179].end 14437.25159375
transcript.pyannote[2180].speaker SPEAKER_01
transcript.pyannote[2180].start 14437.25159375
transcript.pyannote[2180].end 14443.81596875
transcript.pyannote[2181].speaker SPEAKER_01
transcript.pyannote[2181].start 14444.20409375
transcript.pyannote[2181].end 14448.89534375
transcript.pyannote[2182].speaker SPEAKER_01
transcript.pyannote[2182].start 14449.09784375
transcript.pyannote[2182].end 14451.52784375
transcript.pyannote[2183].speaker SPEAKER_01
transcript.pyannote[2183].start 14451.67971875
transcript.pyannote[2183].end 14452.30409375
transcript.pyannote[2184].speaker SPEAKER_01
transcript.pyannote[2184].start 14452.99596875
transcript.pyannote[2184].end 14455.84784375
transcript.pyannote[2185].speaker SPEAKER_01
transcript.pyannote[2185].start 14456.60721875
transcript.pyannote[2185].end 14458.12596875
transcript.pyannote[2186].speaker SPEAKER_01
transcript.pyannote[2186].start 14458.83471875
transcript.pyannote[2186].end 14461.48409375
transcript.pyannote[2187].speaker SPEAKER_01
transcript.pyannote[2187].start 14462.22659375
transcript.pyannote[2187].end 14466.12471875
transcript.pyannote[2188].speaker SPEAKER_01
transcript.pyannote[2188].start 14466.61409375
transcript.pyannote[2188].end 14467.79534375
transcript.pyannote[2189].speaker SPEAKER_01
transcript.pyannote[2189].start 14468.28471875
transcript.pyannote[2189].end 14470.79909375
transcript.pyannote[2190].speaker SPEAKER_01
transcript.pyannote[2190].start 14471.38971875
transcript.pyannote[2190].end 14473.26284375
transcript.pyannote[2191].speaker SPEAKER_01
transcript.pyannote[2191].start 14473.81971875
transcript.pyannote[2191].end 14476.26659375
transcript.pyannote[2192].speaker SPEAKER_01
transcript.pyannote[2192].start 14476.97534375
transcript.pyannote[2192].end 14493.02346875
transcript.pyannote[2193].speaker SPEAKER_01
transcript.pyannote[2193].start 14494.05284375
transcript.pyannote[2193].end 14495.01471875
transcript.pyannote[2194].speaker SPEAKER_01
transcript.pyannote[2194].start 14495.38596875
transcript.pyannote[2194].end 14501.03909375
transcript.pyannote[2195].speaker SPEAKER_01
transcript.pyannote[2195].start 14501.46096875
transcript.pyannote[2195].end 14502.22034375
transcript.pyannote[2196].speaker SPEAKER_01
transcript.pyannote[2196].start 14503.11471875
transcript.pyannote[2196].end 14538.18096875
transcript.pyannote[2197].speaker SPEAKER_01
transcript.pyannote[2197].start 14538.95721875
transcript.pyannote[2197].end 14549.58846875
transcript.pyannote[2198].speaker SPEAKER_01
transcript.pyannote[2198].start 14550.41534375
transcript.pyannote[2198].end 14562.02534375
transcript.pyannote[2199].speaker SPEAKER_01
transcript.pyannote[2199].start 14562.24471875
transcript.pyannote[2199].end 14566.46346875
transcript.pyannote[2200].speaker SPEAKER_01
transcript.pyannote[2200].start 14567.07096875
transcript.pyannote[2200].end 14569.88909375
transcript.pyannote[2201].speaker SPEAKER_01
transcript.pyannote[2201].start 14569.97346875
transcript.pyannote[2201].end 14570.09159375
transcript.pyannote[2202].speaker SPEAKER_01
transcript.pyannote[2202].start 14570.29409375
transcript.pyannote[2202].end 14577.60096875
transcript.pyannote[2203].speaker SPEAKER_06
transcript.pyannote[2203].start 14572.79159375
transcript.pyannote[2203].end 14574.96846875
transcript.pyannote[2204].speaker SPEAKER_01
transcript.pyannote[2204].start 14578.32659375
transcript.pyannote[2204].end 14582.71409375
transcript.pyannote[2205].speaker SPEAKER_01
transcript.pyannote[2205].start 14583.28784375
transcript.pyannote[2205].end 14584.08096875
transcript.pyannote[2206].speaker SPEAKER_01
transcript.pyannote[2206].start 14584.57034375
transcript.pyannote[2206].end 14586.02159375
transcript.pyannote[2207].speaker SPEAKER_01
transcript.pyannote[2207].start 14586.57846875
transcript.pyannote[2207].end 14589.02534375
transcript.pyannote[2208].speaker SPEAKER_01
transcript.pyannote[2208].start 14589.31221875
transcript.pyannote[2208].end 14593.78409375
transcript.pyannote[2209].speaker SPEAKER_01
transcript.pyannote[2209].start 14594.25659375
transcript.pyannote[2209].end 14595.87659375
transcript.pyannote[2210].speaker SPEAKER_01
transcript.pyannote[2210].start 14596.24784375
transcript.pyannote[2210].end 14597.19284375
transcript.pyannote[2211].speaker SPEAKER_01
transcript.pyannote[2211].start 14597.86784375
transcript.pyannote[2211].end 14598.44159375
transcript.pyannote[2212].speaker SPEAKER_01
transcript.pyannote[2212].start 14599.36971875
transcript.pyannote[2212].end 14600.44971875
transcript.pyannote[2213].speaker SPEAKER_01
transcript.pyannote[2213].start 14600.51721875
transcript.pyannote[2213].end 14600.53409375
transcript.pyannote[2214].speaker SPEAKER_01
transcript.pyannote[2214].start 14601.27659375
transcript.pyannote[2214].end 14603.09909375
transcript.pyannote[2215].speaker SPEAKER_01
transcript.pyannote[2215].start 14603.50409375
transcript.pyannote[2215].end 14607.06471875
transcript.pyannote[2216].speaker SPEAKER_01
transcript.pyannote[2216].start 14607.70596875
transcript.pyannote[2216].end 14614.10159375
transcript.pyannote[2217].speaker SPEAKER_01
transcript.pyannote[2217].start 14614.59096875
transcript.pyannote[2217].end 14616.86909375
transcript.pyannote[2218].speaker SPEAKER_01
transcript.pyannote[2218].start 14617.40909375
transcript.pyannote[2218].end 14624.73284375
transcript.pyannote[2219].speaker SPEAKER_06
transcript.pyannote[2219].start 14625.37409375
transcript.pyannote[2219].end 14625.76221875
transcript.pyannote[2220].speaker SPEAKER_26
transcript.pyannote[2220].start 14625.76221875
transcript.pyannote[2220].end 14625.88034375
transcript.pyannote[2221].speaker SPEAKER_06
transcript.pyannote[2221].start 14625.88034375
transcript.pyannote[2221].end 14626.97721875
transcript.pyannote[2222].speaker SPEAKER_26
transcript.pyannote[2222].start 14626.97721875
transcript.pyannote[2222].end 14627.17971875
transcript.pyannote[2223].speaker SPEAKER_26
transcript.pyannote[2223].start 14627.55096875
transcript.pyannote[2223].end 14629.99784375
transcript.pyannote[2224].speaker SPEAKER_26
transcript.pyannote[2224].start 14631.21284375
transcript.pyannote[2224].end 14631.48284375
transcript.pyannote[2225].speaker SPEAKER_26
transcript.pyannote[2225].start 14634.55409375
transcript.pyannote[2225].end 14636.19096875
transcript.pyannote[2226].speaker SPEAKER_26
transcript.pyannote[2226].start 14636.44409375
transcript.pyannote[2226].end 14636.86596875
transcript.pyannote[2227].speaker SPEAKER_26
transcript.pyannote[2227].start 14636.96721875
transcript.pyannote[2227].end 14638.11471875
transcript.pyannote[2228].speaker SPEAKER_26
transcript.pyannote[2228].start 14638.41846875
transcript.pyannote[2228].end 14639.90346875
transcript.pyannote[2229].speaker SPEAKER_26
transcript.pyannote[2229].start 14641.10159375
transcript.pyannote[2229].end 14641.37159375
transcript.pyannote[2230].speaker SPEAKER_26
transcript.pyannote[2230].start 14641.74284375
transcript.pyannote[2230].end 14644.66221875
transcript.pyannote[2231].speaker SPEAKER_26
transcript.pyannote[2231].start 14645.06721875
transcript.pyannote[2231].end 14647.04159375
transcript.pyannote[2232].speaker SPEAKER_26
transcript.pyannote[2232].start 14647.37909375
transcript.pyannote[2232].end 14649.04971875
transcript.pyannote[2233].speaker SPEAKER_26
transcript.pyannote[2233].start 14649.25221875
transcript.pyannote[2233].end 14650.51784375
transcript.pyannote[2234].speaker SPEAKER_13
transcript.pyannote[2234].start 14655.52971875
transcript.pyannote[2234].end 14657.70659375
transcript.pyannote[2235].speaker SPEAKER_26
transcript.pyannote[2235].start 14659.20846875
transcript.pyannote[2235].end 14659.84971875
transcript.pyannote[2236].speaker SPEAKER_27
transcript.pyannote[2236].start 14666.85284375
transcript.pyannote[2236].end 14667.32534375
transcript.pyannote[2237].speaker SPEAKER_13
transcript.pyannote[2237].start 14666.90346875
transcript.pyannote[2237].end 14756.20596875
transcript.pyannote[2238].speaker SPEAKER_00
transcript.pyannote[2238].start 14717.74784375
transcript.pyannote[2238].end 14717.81534375
transcript.pyannote[2239].speaker SPEAKER_27
transcript.pyannote[2239].start 14717.81534375
transcript.pyannote[2239].end 14717.83221875
transcript.pyannote[2240].speaker SPEAKER_00
transcript.pyannote[2240].start 14717.83221875
transcript.pyannote[2240].end 14717.93346875
transcript.pyannote[2241].speaker SPEAKER_05
transcript.pyannote[2241].start 14756.20596875
transcript.pyannote[2241].end 14756.22284375
transcript.pyannote[2242].speaker SPEAKER_13
transcript.pyannote[2242].start 14756.34096875
transcript.pyannote[2242].end 14756.35784375
transcript.pyannote[2243].speaker SPEAKER_05
transcript.pyannote[2243].start 14756.35784375
transcript.pyannote[2243].end 14771.49471875
transcript.pyannote[2244].speaker SPEAKER_05
transcript.pyannote[2244].start 14771.76471875
transcript.pyannote[2244].end 14776.77659375
transcript.pyannote[2245].speaker SPEAKER_27
transcript.pyannote[2245].start 14776.96221875
transcript.pyannote[2245].end 14777.24909375
transcript.pyannote[2246].speaker SPEAKER_05
transcript.pyannote[2246].start 14777.13096875
transcript.pyannote[2246].end 14777.92409375
transcript.pyannote[2247].speaker SPEAKER_05
transcript.pyannote[2247].start 14778.56534375
transcript.pyannote[2247].end 14779.52721875
transcript.pyannote[2248].speaker SPEAKER_05
transcript.pyannote[2248].start 14779.79721875
transcript.pyannote[2248].end 14798.83221875
transcript.pyannote[2249].speaker SPEAKER_27
transcript.pyannote[2249].start 14785.68659375
transcript.pyannote[2249].end 14786.09159375
transcript.pyannote[2250].speaker SPEAKER_06
transcript.pyannote[2250].start 14786.09159375
transcript.pyannote[2250].end 14786.12534375
transcript.pyannote[2251].speaker SPEAKER_07
transcript.pyannote[2251].start 14786.12534375
transcript.pyannote[2251].end 14786.14221875
transcript.pyannote[2252].speaker SPEAKER_06
transcript.pyannote[2252].start 14787.35721875
transcript.pyannote[2252].end 14787.71159375
transcript.pyannote[2253].speaker SPEAKER_05
transcript.pyannote[2253].start 14799.23721875
transcript.pyannote[2253].end 14815.31909375
transcript.pyannote[2254].speaker SPEAKER_00
transcript.pyannote[2254].start 14802.59534375
transcript.pyannote[2254].end 14802.74721875
transcript.pyannote[2255].speaker SPEAKER_06
transcript.pyannote[2255].start 14811.70784375
transcript.pyannote[2255].end 14812.14659375
transcript.pyannote[2256].speaker SPEAKER_05
transcript.pyannote[2256].start 14815.60596875
transcript.pyannote[2256].end 14826.57471875
transcript.pyannote[2257].speaker SPEAKER_08
transcript.pyannote[2257].start 14820.90471875
transcript.pyannote[2257].end 14821.37721875
transcript.pyannote[2258].speaker SPEAKER_05
transcript.pyannote[2258].start 14826.91221875
transcript.pyannote[2258].end 14831.40096875
transcript.pyannote[2259].speaker SPEAKER_05
transcript.pyannote[2259].start 14831.72159375
transcript.pyannote[2259].end 14843.97284375
transcript.pyannote[2260].speaker SPEAKER_08
transcript.pyannote[2260].start 14843.85471875
transcript.pyannote[2260].end 14843.93909375
transcript.pyannote[2261].speaker SPEAKER_08
transcript.pyannote[2261].start 14843.97284375
transcript.pyannote[2261].end 14844.00659375
transcript.pyannote[2262].speaker SPEAKER_05
transcript.pyannote[2262].start 14844.00659375
transcript.pyannote[2262].end 14851.06034375
transcript.pyannote[2263].speaker SPEAKER_08
transcript.pyannote[2263].start 14844.02346875
transcript.pyannote[2263].end 14844.12471875
transcript.pyannote[2264].speaker SPEAKER_08
transcript.pyannote[2264].start 14847.19596875
transcript.pyannote[2264].end 14847.49971875
transcript.pyannote[2265].speaker SPEAKER_08
transcript.pyannote[2265].start 14848.86659375
transcript.pyannote[2265].end 14849.18721875
transcript.pyannote[2266].speaker SPEAKER_08
transcript.pyannote[2266].start 14850.92534375
transcript.pyannote[2266].end 14851.29659375
transcript.pyannote[2267].speaker SPEAKER_05
transcript.pyannote[2267].start 14851.29659375
transcript.pyannote[2267].end 14865.77534375
transcript.pyannote[2268].speaker SPEAKER_08
transcript.pyannote[2268].start 14861.74221875
transcript.pyannote[2268].end 14862.19784375
transcript.pyannote[2269].speaker SPEAKER_08
transcript.pyannote[2269].start 14865.60659375
transcript.pyannote[2269].end 14865.94409375
transcript.pyannote[2270].speaker SPEAKER_05
transcript.pyannote[2270].start 14865.89346875
transcript.pyannote[2270].end 14869.82534375
transcript.pyannote[2271].speaker SPEAKER_05
transcript.pyannote[2271].start 14870.26409375
transcript.pyannote[2271].end 14874.19596875
transcript.pyannote[2272].speaker SPEAKER_24
transcript.pyannote[2272].start 14874.07784375
transcript.pyannote[2272].end 14874.60096875
transcript.pyannote[2273].speaker SPEAKER_05
transcript.pyannote[2273].start 14874.55034375
transcript.pyannote[2273].end 14880.42284375
transcript.pyannote[2274].speaker SPEAKER_13
transcript.pyannote[2274].start 14874.60096875
transcript.pyannote[2274].end 14874.63471875
transcript.pyannote[2275].speaker SPEAKER_13
transcript.pyannote[2275].start 14880.32159375
transcript.pyannote[2275].end 14936.81909375
transcript.pyannote[2276].speaker SPEAKER_05
transcript.pyannote[2276].start 14886.24471875
transcript.pyannote[2276].end 14886.48096875
transcript.pyannote[2277].speaker SPEAKER_14
transcript.pyannote[2277].start 14888.13471875
transcript.pyannote[2277].end 14888.15159375
transcript.pyannote[2278].speaker SPEAKER_27
transcript.pyannote[2278].start 14888.15159375
transcript.pyannote[2278].end 14888.37096875
transcript.pyannote[2279].speaker SPEAKER_00
transcript.pyannote[2279].start 14903.18721875
transcript.pyannote[2279].end 14903.99721875
transcript.pyannote[2280].speaker SPEAKER_05
transcript.pyannote[2280].start 14936.65034375
transcript.pyannote[2280].end 14936.70096875
transcript.pyannote[2281].speaker SPEAKER_05
transcript.pyannote[2281].start 14936.81909375
transcript.pyannote[2281].end 14938.11846875
transcript.pyannote[2282].speaker SPEAKER_05
transcript.pyannote[2282].start 14938.65846875
transcript.pyannote[2282].end 14947.88909375
transcript.pyannote[2283].speaker SPEAKER_05
transcript.pyannote[2283].start 14948.15909375
transcript.pyannote[2283].end 14952.66471875
transcript.pyannote[2284].speaker SPEAKER_05
transcript.pyannote[2284].start 14952.85034375
transcript.pyannote[2284].end 14968.12221875
transcript.pyannote[2285].speaker SPEAKER_06
transcript.pyannote[2285].start 14954.68971875
transcript.pyannote[2285].end 14955.34784375
transcript.pyannote[2286].speaker SPEAKER_08
transcript.pyannote[2286].start 14955.56721875
transcript.pyannote[2286].end 14955.61784375
transcript.pyannote[2287].speaker SPEAKER_06
transcript.pyannote[2287].start 14955.61784375
transcript.pyannote[2287].end 14956.22534375
transcript.pyannote[2288].speaker SPEAKER_06
transcript.pyannote[2288].start 14957.64284375
transcript.pyannote[2288].end 14957.94659375
transcript.pyannote[2289].speaker SPEAKER_06
transcript.pyannote[2289].start 14958.99284375
transcript.pyannote[2289].end 14959.49909375
transcript.pyannote[2290].speaker SPEAKER_00
transcript.pyannote[2290].start 14959.49909375
transcript.pyannote[2290].end 14959.51596875
transcript.pyannote[2291].speaker SPEAKER_05
transcript.pyannote[2291].start 14968.42596875
transcript.pyannote[2291].end 14972.30721875
transcript.pyannote[2292].speaker SPEAKER_08
transcript.pyannote[2292].start 14972.03721875
transcript.pyannote[2292].end 14972.49284375
transcript.pyannote[2293].speaker SPEAKER_05
transcript.pyannote[2293].start 14972.49284375
transcript.pyannote[2293].end 14996.52284375
transcript.pyannote[2294].speaker SPEAKER_08
transcript.pyannote[2294].start 14977.04909375
transcript.pyannote[2294].end 14977.42034375
transcript.pyannote[2295].speaker SPEAKER_08
transcript.pyannote[2295].start 14982.93846875
transcript.pyannote[2295].end 14983.59659375
transcript.pyannote[2296].speaker SPEAKER_08
transcript.pyannote[2296].start 14988.89534375
transcript.pyannote[2296].end 14989.50284375
transcript.pyannote[2297].speaker SPEAKER_08
transcript.pyannote[2297].start 14992.13534375
transcript.pyannote[2297].end 14992.94534375
transcript.pyannote[2298].speaker SPEAKER_05
transcript.pyannote[2298].start 14996.55659375
transcript.pyannote[2298].end 15008.33534375
transcript.pyannote[2299].speaker SPEAKER_00
transcript.pyannote[2299].start 14999.08784375
transcript.pyannote[2299].end 14999.30721875
transcript.pyannote[2300].speaker SPEAKER_08
transcript.pyannote[2300].start 15001.28159375
transcript.pyannote[2300].end 15001.46721875
transcript.pyannote[2301].speaker SPEAKER_05
transcript.pyannote[2301].start 15008.53784375
transcript.pyannote[2301].end 15015.87846875
transcript.pyannote[2302].speaker SPEAKER_08
transcript.pyannote[2302].start 15013.39784375
transcript.pyannote[2302].end 15013.76909375
transcript.pyannote[2303].speaker SPEAKER_05
transcript.pyannote[2303].start 15015.96284375
transcript.pyannote[2303].end 15023.26971875
transcript.pyannote[2304].speaker SPEAKER_08
transcript.pyannote[2304].start 15022.88159375
transcript.pyannote[2304].end 15023.35409375
transcript.pyannote[2305].speaker SPEAKER_05
transcript.pyannote[2305].start 15023.35409375
transcript.pyannote[2305].end 15034.37346875
transcript.pyannote[2306].speaker SPEAKER_13
transcript.pyannote[2306].start 15034.12034375
transcript.pyannote[2306].end 15056.22659375
transcript.pyannote[2307].speaker SPEAKER_27
transcript.pyannote[2307].start 15056.09159375
transcript.pyannote[2307].end 15056.10846875
transcript.pyannote[2308].speaker SPEAKER_08
transcript.pyannote[2308].start 15056.10846875
transcript.pyannote[2308].end 15056.20971875
transcript.pyannote[2309].speaker SPEAKER_08
transcript.pyannote[2309].start 15056.22659375
transcript.pyannote[2309].end 15056.24346875
transcript.pyannote[2310].speaker SPEAKER_13
transcript.pyannote[2310].start 15056.24346875
transcript.pyannote[2310].end 15093.62159375
transcript.pyannote[2311].speaker SPEAKER_08
transcript.pyannote[2311].start 15056.26034375
transcript.pyannote[2311].end 15056.34471875
transcript.pyannote[2312].speaker SPEAKER_00
transcript.pyannote[2312].start 15077.84346875
transcript.pyannote[2312].end 15077.87721875
transcript.pyannote[2313].speaker SPEAKER_06
transcript.pyannote[2313].start 15077.87721875
transcript.pyannote[2313].end 15078.97409375
transcript.pyannote[2314].speaker SPEAKER_10
transcript.pyannote[2314].start 15078.97409375
transcript.pyannote[2314].end 15079.37909375
transcript.pyannote[2315].speaker SPEAKER_00
transcript.pyannote[2315].start 15079.37909375
transcript.pyannote[2315].end 15079.42971875
transcript.pyannote[2316].speaker SPEAKER_00
transcript.pyannote[2316].start 15080.42534375
transcript.pyannote[2316].end 15080.74596875
transcript.pyannote[2317].speaker SPEAKER_13
transcript.pyannote[2317].start 15094.26284375
transcript.pyannote[2317].end 15133.56471875
transcript.pyannote[2318].speaker SPEAKER_13
transcript.pyannote[2318].start 15133.63221875
transcript.pyannote[2318].end 15146.47409375
transcript.pyannote[2319].speaker SPEAKER_05
transcript.pyannote[2319].start 15139.15034375
transcript.pyannote[2319].end 15139.47096875
transcript.pyannote[2320].speaker SPEAKER_05
transcript.pyannote[2320].start 15146.76096875
transcript.pyannote[2320].end 15146.82846875
transcript.pyannote[2321].speaker SPEAKER_05
transcript.pyannote[2321].start 15146.99721875
transcript.pyannote[2321].end 15154.94534375
transcript.pyannote[2322].speaker SPEAKER_08
transcript.pyannote[2322].start 15153.51096875
transcript.pyannote[2322].end 15153.93284375
transcript.pyannote[2323].speaker SPEAKER_05
transcript.pyannote[2323].start 15155.36721875
transcript.pyannote[2323].end 15170.90909375
transcript.pyannote[2324].speaker SPEAKER_08
transcript.pyannote[2324].start 15158.55659375
transcript.pyannote[2324].end 15158.89409375
transcript.pyannote[2325].speaker SPEAKER_08
transcript.pyannote[2325].start 15167.19659375
transcript.pyannote[2325].end 15167.33159375
transcript.pyannote[2326].speaker SPEAKER_00
transcript.pyannote[2326].start 15167.33159375
transcript.pyannote[2326].end 15167.34846875
transcript.pyannote[2327].speaker SPEAKER_08
transcript.pyannote[2327].start 15170.47034375
transcript.pyannote[2327].end 15171.02721875
transcript.pyannote[2328].speaker SPEAKER_05
transcript.pyannote[2328].start 15170.92596875
transcript.pyannote[2328].end 15182.38409375
transcript.pyannote[2329].speaker SPEAKER_24
transcript.pyannote[2329].start 15176.88284375
transcript.pyannote[2329].end 15177.37221875
transcript.pyannote[2330].speaker SPEAKER_05
transcript.pyannote[2330].start 15182.75534375
transcript.pyannote[2330].end 15185.59034375
transcript.pyannote[2331].speaker SPEAKER_05
transcript.pyannote[2331].start 15185.89409375
transcript.pyannote[2331].end 15194.48346875
transcript.pyannote[2332].speaker SPEAKER_13
transcript.pyannote[2332].start 15187.21034375
transcript.pyannote[2332].end 15187.68284375
transcript.pyannote[2333].speaker SPEAKER_13
transcript.pyannote[2333].start 15190.77096875
transcript.pyannote[2333].end 15191.81721875
transcript.pyannote[2334].speaker SPEAKER_13
transcript.pyannote[2334].start 15194.48346875
transcript.pyannote[2334].end 15203.41034375
transcript.pyannote[2335].speaker SPEAKER_05
transcript.pyannote[2335].start 15199.22534375
transcript.pyannote[2335].end 15200.08596875
transcript.pyannote[2336].speaker SPEAKER_05
transcript.pyannote[2336].start 15202.56659375
transcript.pyannote[2336].end 15203.35971875
transcript.pyannote[2337].speaker SPEAKER_05
transcript.pyannote[2337].start 15203.41034375
transcript.pyannote[2337].end 15203.46096875
transcript.pyannote[2338].speaker SPEAKER_05
transcript.pyannote[2338].start 15203.69721875
transcript.pyannote[2338].end 15204.03471875
transcript.pyannote[2339].speaker SPEAKER_13
transcript.pyannote[2339].start 15204.00096875
transcript.pyannote[2339].end 15204.01784375
transcript.pyannote[2340].speaker SPEAKER_13
transcript.pyannote[2340].start 15204.03471875
transcript.pyannote[2340].end 15205.26659375
transcript.pyannote[2341].speaker SPEAKER_05
transcript.pyannote[2341].start 15204.57471875
transcript.pyannote[2341].end 15205.92471875
transcript.pyannote[2342].speaker SPEAKER_13
transcript.pyannote[2342].start 15205.92471875
transcript.pyannote[2342].end 15206.63346875
transcript.pyannote[2343].speaker SPEAKER_05
transcript.pyannote[2343].start 15207.10596875
transcript.pyannote[2343].end 15207.94971875
transcript.pyannote[2344].speaker SPEAKER_26
transcript.pyannote[2344].start 15211.71284375
transcript.pyannote[2344].end 15213.90659375
transcript.pyannote[2345].speaker SPEAKER_26
transcript.pyannote[2345].start 15214.10909375
transcript.pyannote[2345].end 15221.14596875
transcript.pyannote[2346].speaker SPEAKER_26
transcript.pyannote[2346].start 15221.80409375
transcript.pyannote[2346].end 15222.59721875
transcript.pyannote[2347].speaker SPEAKER_28
transcript.pyannote[2347].start 15307.30971875
transcript.pyannote[2347].end 15308.03534375
transcript.pyannote[2348].speaker SPEAKER_31
transcript.pyannote[2348].start 15396.22409375
transcript.pyannote[2348].end 15400.54409375
transcript.pyannote[2349].speaker SPEAKER_09
transcript.pyannote[2349].start 15400.54409375
transcript.pyannote[2349].end 15400.66221875
transcript.pyannote[2350].speaker SPEAKER_09
transcript.pyannote[2350].start 15402.31596875
transcript.pyannote[2350].end 15403.41284375
transcript.pyannote[2351].speaker SPEAKER_09
transcript.pyannote[2351].start 15404.83034375
transcript.pyannote[2351].end 15406.28159375
transcript.pyannote[2352].speaker SPEAKER_08
transcript.pyannote[2352].start 15411.96846875
transcript.pyannote[2352].end 15412.03596875
transcript.pyannote[2353].speaker SPEAKER_09
transcript.pyannote[2353].start 15424.54034375
transcript.pyannote[2353].end 15424.92846875
transcript.pyannote[2354].speaker SPEAKER_09
transcript.pyannote[2354].start 15424.94534375
transcript.pyannote[2354].end 15425.02971875
transcript.pyannote[2355].speaker SPEAKER_23
transcript.pyannote[2355].start 15425.94096875
transcript.pyannote[2355].end 15426.93659375
transcript.pyannote[2356].speaker SPEAKER_23
transcript.pyannote[2356].start 15427.94909375
transcript.pyannote[2356].end 15428.84346875
transcript.pyannote[2357].speaker SPEAKER_20
transcript.pyannote[2357].start 15547.60971875
transcript.pyannote[2357].end 15549.21284375
transcript.pyannote[2358].speaker SPEAKER_20
transcript.pyannote[2358].start 15549.48284375
transcript.pyannote[2358].end 15549.95534375
transcript.pyannote[2359].speaker SPEAKER_23
transcript.pyannote[2359].start 15549.95534375
transcript.pyannote[2359].end 15550.03971875
transcript.pyannote[2360].speaker SPEAKER_23
transcript.pyannote[2360].start 15550.95096875
transcript.pyannote[2360].end 15550.96784375
transcript.pyannote[2361].speaker SPEAKER_23
transcript.pyannote[2361].start 15578.96346875
transcript.pyannote[2361].end 15579.18284375
transcript.pyannote[2362].speaker SPEAKER_27
transcript.pyannote[2362].start 15603.17909375
transcript.pyannote[2362].end 15603.43221875
transcript.pyannote[2363].speaker SPEAKER_26
transcript.pyannote[2363].start 17613.88596875
transcript.pyannote[2363].end 17615.13471875
transcript.pyannote[2364].speaker SPEAKER_26
transcript.pyannote[2364].start 17616.70409375
transcript.pyannote[2364].end 17618.67846875
transcript.pyannote[2365].speaker SPEAKER_26
transcript.pyannote[2365].start 17619.50534375
transcript.pyannote[2365].end 17623.28534375
transcript.pyannote[2366].speaker SPEAKER_32
transcript.pyannote[2366].start 17642.03346875
transcript.pyannote[2366].end 17644.27784375
transcript.pyannote[2367].speaker SPEAKER_32
transcript.pyannote[2367].start 17645.05409375
transcript.pyannote[2367].end 17645.81346875
transcript.pyannote[2368].speaker SPEAKER_32
transcript.pyannote[2368].start 17653.47471875
transcript.pyannote[2368].end 17654.35221875
transcript.pyannote[2369].speaker SPEAKER_12
transcript.pyannote[2369].start 17653.64346875
transcript.pyannote[2369].end 17653.66034375
transcript.pyannote[2370].speaker SPEAKER_12
transcript.pyannote[2370].start 17653.72784375
transcript.pyannote[2370].end 17653.76159375
transcript.pyannote[2371].speaker SPEAKER_32
transcript.pyannote[2371].start 17654.43659375
transcript.pyannote[2371].end 17654.48721875
transcript.pyannote[2372].speaker SPEAKER_31
transcript.pyannote[2372].start 17654.48721875
transcript.pyannote[2372].end 17654.68971875
transcript.pyannote[2373].speaker SPEAKER_32
transcript.pyannote[2373].start 17657.50784375
transcript.pyannote[2373].end 17659.73534375
transcript.pyannote[2374].speaker SPEAKER_32
transcript.pyannote[2374].start 17660.56221875
transcript.pyannote[2374].end 17662.14846875
transcript.pyannote[2375].speaker SPEAKER_32
transcript.pyannote[2375].start 17663.11034375
transcript.pyannote[2375].end 17664.08909375
transcript.pyannote[2376].speaker SPEAKER_32
transcript.pyannote[2376].start 17664.52784375
transcript.pyannote[2376].end 17665.99596875
transcript.pyannote[2377].speaker SPEAKER_32
transcript.pyannote[2377].start 17666.83971875
transcript.pyannote[2377].end 17668.72971875
transcript.pyannote[2378].speaker SPEAKER_32
transcript.pyannote[2378].start 17669.33721875
transcript.pyannote[2378].end 17672.61096875
transcript.pyannote[2379].speaker SPEAKER_32
transcript.pyannote[2379].start 17675.09159375
transcript.pyannote[2379].end 17675.66534375
transcript.pyannote[2380].speaker SPEAKER_32
transcript.pyannote[2380].start 17676.12096875
transcript.pyannote[2380].end 17678.51721875
transcript.pyannote[2381].speaker SPEAKER_32
transcript.pyannote[2381].start 17679.07409375
transcript.pyannote[2381].end 17681.58846875
transcript.pyannote[2382].speaker SPEAKER_32
transcript.pyannote[2382].start 17682.14534375
transcript.pyannote[2382].end 17684.47409375
transcript.pyannote[2383].speaker SPEAKER_32
transcript.pyannote[2383].start 17685.25034375
transcript.pyannote[2383].end 17686.71846875
transcript.pyannote[2384].speaker SPEAKER_32
transcript.pyannote[2384].start 17686.95471875
transcript.pyannote[2384].end 17687.19096875
transcript.pyannote[2385].speaker SPEAKER_32
transcript.pyannote[2385].start 17687.51159375
transcript.pyannote[2385].end 17689.50284375
transcript.pyannote[2386].speaker SPEAKER_32
transcript.pyannote[2386].start 17690.61659375
transcript.pyannote[2386].end 17693.70471875
transcript.pyannote[2387].speaker SPEAKER_32
transcript.pyannote[2387].start 17695.03784375
transcript.pyannote[2387].end 17695.52721875
transcript.pyannote[2388].speaker SPEAKER_32
transcript.pyannote[2388].start 17696.57346875
transcript.pyannote[2388].end 17698.56471875
transcript.pyannote[2389].speaker SPEAKER_23
transcript.pyannote[2389].start 17701.55159375
transcript.pyannote[2389].end 17701.61909375
transcript.pyannote[2390].speaker SPEAKER_05
transcript.pyannote[2390].start 17703.07034375
transcript.pyannote[2390].end 17704.65659375
transcript.pyannote[2391].speaker SPEAKER_05
transcript.pyannote[2391].start 17705.36534375
transcript.pyannote[2391].end 17707.66034375
transcript.pyannote[2392].speaker SPEAKER_32
transcript.pyannote[2392].start 17706.52971875
transcript.pyannote[2392].end 17709.55034375
transcript.pyannote[2393].speaker SPEAKER_05
transcript.pyannote[2393].start 17708.14971875
transcript.pyannote[2393].end 17708.48721875
transcript.pyannote[2394].speaker SPEAKER_32
transcript.pyannote[2394].start 17710.79909375
transcript.pyannote[2394].end 17711.79471875
transcript.pyannote[2395].speaker SPEAKER_32
transcript.pyannote[2395].start 17712.33471875
transcript.pyannote[2395].end 17715.97971875
transcript.pyannote[2396].speaker SPEAKER_32
transcript.pyannote[2396].start 17716.62096875
transcript.pyannote[2396].end 17720.58659375
transcript.pyannote[2397].speaker SPEAKER_32
transcript.pyannote[2397].start 17720.92409375
transcript.pyannote[2397].end 17721.49784375
transcript.pyannote[2398].speaker SPEAKER_32
transcript.pyannote[2398].start 17722.27409375
transcript.pyannote[2398].end 17723.03346875
transcript.pyannote[2399].speaker SPEAKER_32
transcript.pyannote[2399].start 17723.48909375
transcript.pyannote[2399].end 17726.15534375
transcript.pyannote[2400].speaker SPEAKER_32
transcript.pyannote[2400].start 17727.53909375
transcript.pyannote[2400].end 17731.96034375
transcript.pyannote[2401].speaker SPEAKER_32
transcript.pyannote[2401].start 17732.51721875
transcript.pyannote[2401].end 17733.46221875
transcript.pyannote[2402].speaker SPEAKER_32
transcript.pyannote[2402].start 17733.83346875
transcript.pyannote[2402].end 17736.97221875
transcript.pyannote[2403].speaker SPEAKER_32
transcript.pyannote[2403].start 17737.32659375
transcript.pyannote[2403].end 17739.11534375
transcript.pyannote[2404].speaker SPEAKER_32
transcript.pyannote[2404].start 17739.36846875
transcript.pyannote[2404].end 17742.72659375
transcript.pyannote[2405].speaker SPEAKER_32
transcript.pyannote[2405].start 17743.84034375
transcript.pyannote[2405].end 17744.81909375
transcript.pyannote[2406].speaker SPEAKER_32
transcript.pyannote[2406].start 17745.81471875
transcript.pyannote[2406].end 17746.57409375
transcript.pyannote[2407].speaker SPEAKER_32
transcript.pyannote[2407].start 17747.53596875
transcript.pyannote[2407].end 17748.80159375
transcript.pyannote[2408].speaker SPEAKER_32
transcript.pyannote[2408].start 17749.91534375
transcript.pyannote[2408].end 17751.21471875
transcript.pyannote[2409].speaker SPEAKER_32
transcript.pyannote[2409].start 17751.28221875
transcript.pyannote[2409].end 17751.94034375
transcript.pyannote[2410].speaker SPEAKER_32
transcript.pyannote[2410].start 17752.76721875
transcript.pyannote[2410].end 17753.99909375
transcript.pyannote[2411].speaker SPEAKER_32
transcript.pyannote[2411].start 17754.80909375
transcript.pyannote[2411].end 17755.82159375
transcript.pyannote[2412].speaker SPEAKER_32
transcript.pyannote[2412].start 17756.15909375
transcript.pyannote[2412].end 17758.53846875
transcript.pyannote[2413].speaker SPEAKER_32
transcript.pyannote[2413].start 17759.77034375
transcript.pyannote[2413].end 17760.49596875
transcript.pyannote[2414].speaker SPEAKER_32
transcript.pyannote[2414].start 17760.91784375
transcript.pyannote[2414].end 17771.86971875
transcript.pyannote[2415].speaker SPEAKER_32
transcript.pyannote[2415].start 17772.73034375
transcript.pyannote[2415].end 17773.50659375
transcript.pyannote[2416].speaker SPEAKER_32
transcript.pyannote[2416].start 17773.92846875
transcript.pyannote[2416].end 17774.85659375
transcript.pyannote[2417].speaker SPEAKER_32
transcript.pyannote[2417].start 17775.53159375
transcript.pyannote[2417].end 17779.41284375
transcript.pyannote[2418].speaker SPEAKER_32
transcript.pyannote[2418].start 17779.98659375
transcript.pyannote[2418].end 17783.59784375
transcript.pyannote[2419].speaker SPEAKER_32
transcript.pyannote[2419].start 17784.20534375
transcript.pyannote[2419].end 17785.60596875
transcript.pyannote[2420].speaker SPEAKER_32
transcript.pyannote[2420].start 17785.63971875
transcript.pyannote[2420].end 17787.58034375
transcript.pyannote[2421].speaker SPEAKER_32
transcript.pyannote[2421].start 17787.90096875
transcript.pyannote[2421].end 17789.40284375
transcript.pyannote[2422].speaker SPEAKER_32
transcript.pyannote[2422].start 17790.12846875
transcript.pyannote[2422].end 17794.44846875
transcript.pyannote[2423].speaker SPEAKER_32
transcript.pyannote[2423].start 17795.42721875
transcript.pyannote[2423].end 17798.44784375
transcript.pyannote[2424].speaker SPEAKER_32
transcript.pyannote[2424].start 17799.00471875
transcript.pyannote[2424].end 17800.92846875
transcript.pyannote[2425].speaker SPEAKER_32
transcript.pyannote[2425].start 17801.73846875
transcript.pyannote[2425].end 17802.31221875
transcript.pyannote[2426].speaker SPEAKER_32
transcript.pyannote[2426].start 17803.96596875
transcript.pyannote[2426].end 17808.31971875
transcript.pyannote[2427].speaker SPEAKER_32
transcript.pyannote[2427].start 17809.26471875
transcript.pyannote[2427].end 17810.02409375
transcript.pyannote[2428].speaker SPEAKER_32
transcript.pyannote[2428].start 17810.71596875
transcript.pyannote[2428].end 17811.84659375
transcript.pyannote[2429].speaker SPEAKER_32
transcript.pyannote[2429].start 17812.72409375
transcript.pyannote[2429].end 17813.65221875
transcript.pyannote[2430].speaker SPEAKER_32
transcript.pyannote[2430].start 17813.83784375
transcript.pyannote[2430].end 17815.25534375
transcript.pyannote[2431].speaker SPEAKER_32
transcript.pyannote[2431].start 17816.28471875
transcript.pyannote[2431].end 17816.87534375
transcript.pyannote[2432].speaker SPEAKER_32
transcript.pyannote[2432].start 17817.93846875
transcript.pyannote[2432].end 17819.33909375
transcript.pyannote[2433].speaker SPEAKER_32
transcript.pyannote[2433].start 17820.06471875
transcript.pyannote[2433].end 17821.39784375
transcript.pyannote[2434].speaker SPEAKER_32
transcript.pyannote[2434].start 17822.05596875
transcript.pyannote[2434].end 17822.98409375
transcript.pyannote[2435].speaker SPEAKER_32
transcript.pyannote[2435].start 17824.19909375
transcript.pyannote[2435].end 17825.39721875
transcript.pyannote[2436].speaker SPEAKER_32
transcript.pyannote[2436].start 17826.47721875
transcript.pyannote[2436].end 17827.64159375
transcript.pyannote[2437].speaker SPEAKER_32
transcript.pyannote[2437].start 17827.82721875
transcript.pyannote[2437].end 17829.39659375
transcript.pyannote[2438].speaker SPEAKER_32
transcript.pyannote[2438].start 17829.76784375
transcript.pyannote[2438].end 17831.84346875
transcript.pyannote[2439].speaker SPEAKER_32
transcript.pyannote[2439].start 17832.68721875
transcript.pyannote[2439].end 17833.42971875
transcript.pyannote[2440].speaker SPEAKER_32
transcript.pyannote[2440].start 17834.45909375
transcript.pyannote[2440].end 17836.09596875
transcript.pyannote[2441].speaker SPEAKER_32
transcript.pyannote[2441].start 17836.65284375
transcript.pyannote[2441].end 17837.29409375
transcript.pyannote[2442].speaker SPEAKER_32
transcript.pyannote[2442].start 17838.08721875
transcript.pyannote[2442].end 17840.44971875
transcript.pyannote[2443].speaker SPEAKER_32
transcript.pyannote[2443].start 17841.36096875
transcript.pyannote[2443].end 17844.60096875
transcript.pyannote[2444].speaker SPEAKER_32
transcript.pyannote[2444].start 17845.54596875
transcript.pyannote[2444].end 17846.55846875
transcript.pyannote[2445].speaker SPEAKER_32
transcript.pyannote[2445].start 17847.46971875
transcript.pyannote[2445].end 17848.85346875
transcript.pyannote[2446].speaker SPEAKER_32
transcript.pyannote[2446].start 17849.30909375
transcript.pyannote[2446].end 17852.14409375
transcript.pyannote[2447].speaker SPEAKER_05
transcript.pyannote[2447].start 17852.14409375
transcript.pyannote[2447].end 17852.24534375
transcript.pyannote[2448].speaker SPEAKER_32
transcript.pyannote[2448].start 17852.80221875
transcript.pyannote[2448].end 17853.03846875
transcript.pyannote[2449].speaker SPEAKER_05
transcript.pyannote[2449].start 17853.03846875
transcript.pyannote[2449].end 17862.99471875
transcript.pyannote[2450].speaker SPEAKER_05
transcript.pyannote[2450].start 17863.36596875
transcript.pyannote[2450].end 17869.62659375
transcript.pyannote[2451].speaker SPEAKER_05
transcript.pyannote[2451].start 17869.93034375
transcript.pyannote[2451].end 17882.62034375
transcript.pyannote[2452].speaker SPEAKER_05
transcript.pyannote[2452].start 17883.09284375
transcript.pyannote[2452].end 17888.88096875
transcript.pyannote[2453].speaker SPEAKER_32
transcript.pyannote[2453].start 17889.26909375
transcript.pyannote[2453].end 17890.73721875
transcript.pyannote[2454].speaker SPEAKER_32
transcript.pyannote[2454].start 17891.66534375
transcript.pyannote[2454].end 17893.75784375
transcript.pyannote[2455].speaker SPEAKER_32
transcript.pyannote[2455].start 17894.97284375
transcript.pyannote[2455].end 17896.54221875
transcript.pyannote[2456].speaker SPEAKER_32
transcript.pyannote[2456].start 17897.31846875
transcript.pyannote[2456].end 17898.63471875
transcript.pyannote[2457].speaker SPEAKER_32
transcript.pyannote[2457].start 17899.73159375
transcript.pyannote[2457].end 17900.45721875
transcript.pyannote[2458].speaker SPEAKER_32
transcript.pyannote[2458].start 17900.62596875
transcript.pyannote[2458].end 17901.48659375
transcript.pyannote[2459].speaker SPEAKER_32
transcript.pyannote[2459].start 17902.51596875
transcript.pyannote[2459].end 17903.84909375
transcript.pyannote[2460].speaker SPEAKER_32
transcript.pyannote[2460].start 17904.47346875
transcript.pyannote[2460].end 17906.29596875
transcript.pyannote[2461].speaker SPEAKER_32
transcript.pyannote[2461].start 17906.65034375
transcript.pyannote[2461].end 17909.08034375
transcript.pyannote[2462].speaker SPEAKER_32
transcript.pyannote[2462].start 17909.73846875
transcript.pyannote[2462].end 17910.44721875
transcript.pyannote[2463].speaker SPEAKER_32
transcript.pyannote[2463].start 17911.07159375
transcript.pyannote[2463].end 17914.49721875
transcript.pyannote[2464].speaker SPEAKER_32
transcript.pyannote[2464].start 17914.58159375
transcript.pyannote[2464].end 17915.71221875
transcript.pyannote[2465].speaker SPEAKER_32
transcript.pyannote[2465].start 17916.18471875
transcript.pyannote[2465].end 17917.18034375
transcript.pyannote[2466].speaker SPEAKER_32
transcript.pyannote[2466].start 17917.41659375
transcript.pyannote[2466].end 17922.37784375
transcript.pyannote[2467].speaker SPEAKER_32
transcript.pyannote[2467].start 17922.83346875
transcript.pyannote[2467].end 17924.87534375
transcript.pyannote[2468].speaker SPEAKER_32
transcript.pyannote[2468].start 17925.38159375
transcript.pyannote[2468].end 17927.65971875
transcript.pyannote[2469].speaker SPEAKER_32
transcript.pyannote[2469].start 17928.21659375
transcript.pyannote[2469].end 17929.04346875
transcript.pyannote[2470].speaker SPEAKER_32
transcript.pyannote[2470].start 17929.43159375
transcript.pyannote[2470].end 17929.58346875
transcript.pyannote[2471].speaker SPEAKER_32
transcript.pyannote[2471].start 17929.78596875
transcript.pyannote[2471].end 17933.44784375
transcript.pyannote[2472].speaker SPEAKER_32
transcript.pyannote[2472].start 17934.07221875
transcript.pyannote[2472].end 17935.75971875
transcript.pyannote[2473].speaker SPEAKER_32
transcript.pyannote[2473].start 17936.14784375
transcript.pyannote[2473].end 17936.80596875
transcript.pyannote[2474].speaker SPEAKER_32
transcript.pyannote[2474].start 17937.73409375
transcript.pyannote[2474].end 17939.86034375
transcript.pyannote[2475].speaker SPEAKER_32
transcript.pyannote[2475].start 17940.63659375
transcript.pyannote[2475].end 17942.15534375
transcript.pyannote[2476].speaker SPEAKER_32
transcript.pyannote[2476].start 17942.47596875
transcript.pyannote[2476].end 17943.06659375
transcript.pyannote[2477].speaker SPEAKER_32
transcript.pyannote[2477].start 17943.60659375
transcript.pyannote[2477].end 17945.37846875
transcript.pyannote[2478].speaker SPEAKER_32
transcript.pyannote[2478].start 17946.66096875
transcript.pyannote[2478].end 17947.40346875
transcript.pyannote[2479].speaker SPEAKER_32
transcript.pyannote[2479].start 17947.74096875
transcript.pyannote[2479].end 17950.33971875
transcript.pyannote[2480].speaker SPEAKER_32
transcript.pyannote[2480].start 17951.74034375
transcript.pyannote[2480].end 17952.66846875
transcript.pyannote[2481].speaker SPEAKER_32
transcript.pyannote[2481].start 17953.12409375
transcript.pyannote[2481].end 17953.71471875
transcript.pyannote[2482].speaker SPEAKER_32
transcript.pyannote[2482].start 17954.64284375
transcript.pyannote[2482].end 17955.68909375
transcript.pyannote[2483].speaker SPEAKER_32
transcript.pyannote[2483].start 17955.80721875
transcript.pyannote[2483].end 17958.94596875
transcript.pyannote[2484].speaker SPEAKER_32
transcript.pyannote[2484].start 17959.06409375
transcript.pyannote[2484].end 17962.69221875
transcript.pyannote[2485].speaker SPEAKER_32
transcript.pyannote[2485].start 17963.97471875
transcript.pyannote[2485].end 17966.89409375
transcript.pyannote[2486].speaker SPEAKER_32
transcript.pyannote[2486].start 17967.55221875
transcript.pyannote[2486].end 17969.44221875
transcript.pyannote[2487].speaker SPEAKER_32
transcript.pyannote[2487].start 17970.01596875
transcript.pyannote[2487].end 17972.95221875
transcript.pyannote[2488].speaker SPEAKER_32
transcript.pyannote[2488].start 17973.62721875
transcript.pyannote[2488].end 17978.35221875
transcript.pyannote[2489].speaker SPEAKER_32
transcript.pyannote[2489].start 17979.12846875
transcript.pyannote[2489].end 17979.36471875
transcript.pyannote[2490].speaker SPEAKER_32
transcript.pyannote[2490].start 17980.37721875
transcript.pyannote[2490].end 17988.52784375
transcript.pyannote[2491].speaker SPEAKER_32
transcript.pyannote[2491].start 17989.11846875
transcript.pyannote[2491].end 17990.53596875
transcript.pyannote[2492].speaker SPEAKER_32
transcript.pyannote[2492].start 17991.43034375
transcript.pyannote[2492].end 17992.89846875
transcript.pyannote[2493].speaker SPEAKER_32
transcript.pyannote[2493].start 17993.43846875
transcript.pyannote[2493].end 17997.03284375
transcript.pyannote[2494].speaker SPEAKER_32
transcript.pyannote[2494].start 17998.24784375
transcript.pyannote[2494].end 17998.48409375
transcript.pyannote[2495].speaker SPEAKER_32
transcript.pyannote[2495].start 17999.02409375
transcript.pyannote[2495].end 18003.19221875
transcript.pyannote[2496].speaker SPEAKER_32
transcript.pyannote[2496].start 18003.46221875
transcript.pyannote[2496].end 18004.99784375
transcript.pyannote[2497].speaker SPEAKER_32
transcript.pyannote[2497].start 18005.45346875
transcript.pyannote[2497].end 18007.90034375
transcript.pyannote[2498].speaker SPEAKER_32
transcript.pyannote[2498].start 18008.91284375
transcript.pyannote[2498].end 18010.63409375
transcript.pyannote[2499].speaker SPEAKER_32
transcript.pyannote[2499].start 18012.00096875
transcript.pyannote[2499].end 18013.18221875
transcript.pyannote[2500].speaker SPEAKER_32
transcript.pyannote[2500].start 18014.56596875
transcript.pyannote[2500].end 18015.66284375
transcript.pyannote[2501].speaker SPEAKER_32
transcript.pyannote[2501].start 18015.76409375
transcript.pyannote[2501].end 18017.18159375
transcript.pyannote[2502].speaker SPEAKER_32
transcript.pyannote[2502].start 18017.75534375
transcript.pyannote[2502].end 18020.37096875
transcript.pyannote[2503].speaker SPEAKER_32
transcript.pyannote[2503].start 18022.59846875
transcript.pyannote[2503].end 18023.03721875
transcript.pyannote[2504].speaker SPEAKER_05
transcript.pyannote[2504].start 18023.03721875
transcript.pyannote[2504].end 18027.01971875
transcript.pyannote[2505].speaker SPEAKER_05
transcript.pyannote[2505].start 18027.25596875
transcript.pyannote[2505].end 18028.48784375
transcript.pyannote[2506].speaker SPEAKER_05
transcript.pyannote[2506].start 18029.01096875
transcript.pyannote[2506].end 18030.88409375
transcript.pyannote[2507].speaker SPEAKER_05
transcript.pyannote[2507].start 18031.10346875
transcript.pyannote[2507].end 18033.04409375
transcript.pyannote[2508].speaker SPEAKER_05
transcript.pyannote[2508].start 18033.48284375
transcript.pyannote[2508].end 18035.38971875
transcript.pyannote[2509].speaker SPEAKER_05
transcript.pyannote[2509].start 18035.59221875
transcript.pyannote[2509].end 18035.96346875
transcript.pyannote[2510].speaker SPEAKER_05
transcript.pyannote[2510].start 18036.11534375
transcript.pyannote[2510].end 18040.80659375
transcript.pyannote[2511].speaker SPEAKER_05
transcript.pyannote[2511].start 18041.14409375
transcript.pyannote[2511].end 18050.15534375
transcript.pyannote[2512].speaker SPEAKER_32
transcript.pyannote[2512].start 18047.37096875
transcript.pyannote[2512].end 18052.41659375
transcript.pyannote[2513].speaker SPEAKER_32
transcript.pyannote[2513].start 18053.24346875
transcript.pyannote[2513].end 18054.54284375
transcript.pyannote[2514].speaker SPEAKER_32
transcript.pyannote[2514].start 18055.06596875
transcript.pyannote[2514].end 18056.97284375
transcript.pyannote[2515].speaker SPEAKER_32
transcript.pyannote[2515].start 18057.32721875
transcript.pyannote[2515].end 18059.45346875
transcript.pyannote[2516].speaker SPEAKER_32
transcript.pyannote[2516].start 18060.01034375
transcript.pyannote[2516].end 18062.22096875
transcript.pyannote[2517].speaker SPEAKER_05
transcript.pyannote[2517].start 18062.22096875
transcript.pyannote[2517].end 18069.94971875
transcript.pyannote[2518].speaker SPEAKER_05
transcript.pyannote[2518].start 18070.33784375
transcript.pyannote[2518].end 18076.46346875
transcript.pyannote[2519].speaker SPEAKER_32
transcript.pyannote[2519].start 18070.35471875
transcript.pyannote[2519].end 18070.72596875
transcript.pyannote[2520].speaker SPEAKER_32
transcript.pyannote[2520].start 18075.77159375
transcript.pyannote[2520].end 18084.68159375
transcript.pyannote[2521].speaker SPEAKER_32
transcript.pyannote[2521].start 18084.81659375
transcript.pyannote[2521].end 18088.96784375
transcript.pyannote[2522].speaker SPEAKER_05
transcript.pyannote[2522].start 18086.16659375
transcript.pyannote[2522].end 18088.25909375
transcript.pyannote[2523].speaker SPEAKER_05
transcript.pyannote[2523].start 18089.13659375
transcript.pyannote[2523].end 18089.38971875
transcript.pyannote[2524].speaker SPEAKER_32
transcript.pyannote[2524].start 18089.59221875
transcript.pyannote[2524].end 18090.70596875
transcript.pyannote[2525].speaker SPEAKER_32
transcript.pyannote[2525].start 18091.80284375
transcript.pyannote[2525].end 18095.51534375
transcript.pyannote[2526].speaker SPEAKER_32
transcript.pyannote[2526].start 18098.31659375
transcript.pyannote[2526].end 18099.54846875
transcript.pyannote[2527].speaker SPEAKER_32
transcript.pyannote[2527].start 18100.51034375
transcript.pyannote[2527].end 18101.20221875
transcript.pyannote[2528].speaker SPEAKER_32
transcript.pyannote[2528].start 18101.48909375
transcript.pyannote[2528].end 18102.45096875
transcript.pyannote[2529].speaker SPEAKER_32
transcript.pyannote[2529].start 18103.12596875
transcript.pyannote[2529].end 18103.37909375
transcript.pyannote[2530].speaker SPEAKER_32
transcript.pyannote[2530].start 18104.15534375
transcript.pyannote[2530].end 18105.91034375
transcript.pyannote[2531].speaker SPEAKER_32
transcript.pyannote[2531].start 18106.56846875
transcript.pyannote[2531].end 18107.51346875
transcript.pyannote[2532].speaker SPEAKER_32
transcript.pyannote[2532].start 18108.50909375
transcript.pyannote[2532].end 18109.43721875
transcript.pyannote[2533].speaker SPEAKER_32
transcript.pyannote[2533].start 18109.94346875
transcript.pyannote[2533].end 18110.17971875
transcript.pyannote[2534].speaker SPEAKER_32
transcript.pyannote[2534].start 18110.51721875
transcript.pyannote[2534].end 18111.44534375
transcript.pyannote[2535].speaker SPEAKER_32
transcript.pyannote[2535].start 18112.06971875
transcript.pyannote[2535].end 18113.11596875
transcript.pyannote[2536].speaker SPEAKER_32
transcript.pyannote[2536].start 18114.07784375
transcript.pyannote[2536].end 18114.98909375
transcript.pyannote[2537].speaker SPEAKER_32
transcript.pyannote[2537].start 18115.44471875
transcript.pyannote[2537].end 18116.44034375
transcript.pyannote[2538].speaker SPEAKER_32
transcript.pyannote[2538].start 18117.40221875
transcript.pyannote[2538].end 18118.43159375
transcript.pyannote[2539].speaker SPEAKER_32
transcript.pyannote[2539].start 18119.20784375
transcript.pyannote[2539].end 18120.01784375
transcript.pyannote[2540].speaker SPEAKER_32
transcript.pyannote[2540].start 18120.69284375
transcript.pyannote[2540].end 18121.03034375
transcript.pyannote[2541].speaker SPEAKER_32
transcript.pyannote[2541].start 18121.14846875
transcript.pyannote[2541].end 18122.86971875
transcript.pyannote[2542].speaker SPEAKER_32
transcript.pyannote[2542].start 18125.43471875
transcript.pyannote[2542].end 18126.07596875
transcript.pyannote[2543].speaker SPEAKER_32
transcript.pyannote[2543].start 18126.78471875
transcript.pyannote[2543].end 18128.91096875
transcript.pyannote[2544].speaker SPEAKER_32
transcript.pyannote[2544].start 18129.43409375
transcript.pyannote[2544].end 18130.44659375
transcript.pyannote[2545].speaker SPEAKER_32
transcript.pyannote[2545].start 18130.95284375
transcript.pyannote[2545].end 18134.83409375
transcript.pyannote[2546].speaker SPEAKER_32
transcript.pyannote[2546].start 18135.07034375
transcript.pyannote[2546].end 18136.26846875
transcript.pyannote[2547].speaker SPEAKER_32
transcript.pyannote[2547].start 18137.02784375
transcript.pyannote[2547].end 18137.29784375
transcript.pyannote[2548].speaker SPEAKER_32
transcript.pyannote[2548].start 18137.71971875
transcript.pyannote[2548].end 18140.18346875
transcript.pyannote[2549].speaker SPEAKER_32
transcript.pyannote[2549].start 18140.82471875
transcript.pyannote[2549].end 18141.87096875
transcript.pyannote[2550].speaker SPEAKER_32
transcript.pyannote[2550].start 18142.22534375
transcript.pyannote[2550].end 18142.90034375
transcript.pyannote[2551].speaker SPEAKER_32
transcript.pyannote[2551].start 18143.45721875
transcript.pyannote[2551].end 18144.72284375
transcript.pyannote[2552].speaker SPEAKER_32
transcript.pyannote[2552].start 18145.27971875
transcript.pyannote[2552].end 18146.91659375
transcript.pyannote[2553].speaker SPEAKER_32
transcript.pyannote[2553].start 18147.92909375
transcript.pyannote[2553].end 18148.21596875
transcript.pyannote[2554].speaker SPEAKER_32
transcript.pyannote[2554].start 18148.78971875
transcript.pyannote[2554].end 18149.71784375
transcript.pyannote[2555].speaker SPEAKER_32
transcript.pyannote[2555].start 18149.88659375
transcript.pyannote[2555].end 18150.81471875
transcript.pyannote[2556].speaker SPEAKER_32
transcript.pyannote[2556].start 18150.96659375
transcript.pyannote[2556].end 18160.36596875
transcript.pyannote[2557].speaker SPEAKER_32
transcript.pyannote[2557].start 18160.72034375
transcript.pyannote[2557].end 18165.58034375
transcript.pyannote[2558].speaker SPEAKER_32
transcript.pyannote[2558].start 18165.73221875
transcript.pyannote[2558].end 18167.21721875
transcript.pyannote[2559].speaker SPEAKER_32
transcript.pyannote[2559].start 18167.92596875
transcript.pyannote[2559].end 18169.71471875
transcript.pyannote[2560].speaker SPEAKER_32
transcript.pyannote[2560].start 18169.95096875
transcript.pyannote[2560].end 18171.36846875
transcript.pyannote[2561].speaker SPEAKER_32
transcript.pyannote[2561].start 18172.48221875
transcript.pyannote[2561].end 18173.42721875
transcript.pyannote[2562].speaker SPEAKER_32
transcript.pyannote[2562].start 18174.01784375
transcript.pyannote[2562].end 18175.95846875
transcript.pyannote[2563].speaker SPEAKER_32
transcript.pyannote[2563].start 18176.85284375
transcript.pyannote[2563].end 18178.91159375
transcript.pyannote[2564].speaker SPEAKER_32
transcript.pyannote[2564].start 18179.63721875
transcript.pyannote[2564].end 18183.99096875
transcript.pyannote[2565].speaker SPEAKER_32
transcript.pyannote[2565].start 18184.96971875
transcript.pyannote[2565].end 18186.52221875
transcript.pyannote[2566].speaker SPEAKER_32
transcript.pyannote[2566].start 18187.72034375
transcript.pyannote[2566].end 18187.95659375
transcript.pyannote[2567].speaker SPEAKER_32
transcript.pyannote[2567].start 18188.39534375
transcript.pyannote[2567].end 18191.77034375
transcript.pyannote[2568].speaker SPEAKER_32
transcript.pyannote[2568].start 18192.85034375
transcript.pyannote[2568].end 18194.13284375
transcript.pyannote[2569].speaker SPEAKER_32
transcript.pyannote[2569].start 18195.07784375
transcript.pyannote[2569].end 18197.28846875
transcript.pyannote[2570].speaker SPEAKER_32
transcript.pyannote[2570].start 18198.03096875
transcript.pyannote[2570].end 18199.80284375
transcript.pyannote[2571].speaker SPEAKER_32
transcript.pyannote[2571].start 18201.10221875
transcript.pyannote[2571].end 18202.63784375
transcript.pyannote[2572].speaker SPEAKER_32
transcript.pyannote[2572].start 18203.12721875
transcript.pyannote[2572].end 18206.99159375
transcript.pyannote[2573].speaker SPEAKER_32
transcript.pyannote[2573].start 18207.58221875
transcript.pyannote[2573].end 18209.55659375
transcript.pyannote[2574].speaker SPEAKER_32
transcript.pyannote[2574].start 18210.92346875
transcript.pyannote[2574].end 18212.34096875
transcript.pyannote[2575].speaker SPEAKER_32
transcript.pyannote[2575].start 18214.12971875
transcript.pyannote[2575].end 18215.76659375
transcript.pyannote[2576].speaker SPEAKER_32
transcript.pyannote[2576].start 18216.62721875
transcript.pyannote[2576].end 18218.82096875
transcript.pyannote[2577].speaker SPEAKER_32
transcript.pyannote[2577].start 18219.56346875
transcript.pyannote[2577].end 18221.28471875
transcript.pyannote[2578].speaker SPEAKER_32
transcript.pyannote[2578].start 18221.52096875
transcript.pyannote[2578].end 18225.55409375
transcript.pyannote[2579].speaker SPEAKER_05
transcript.pyannote[2579].start 18224.96346875
transcript.pyannote[2579].end 18231.91596875
transcript.pyannote[2580].speaker SPEAKER_05
transcript.pyannote[2580].start 18232.69221875
transcript.pyannote[2580].end 18234.68346875
transcript.pyannote[2581].speaker SPEAKER_32
transcript.pyannote[2581].start 18233.72159375
transcript.pyannote[2581].end 18234.63284375
transcript.pyannote[2582].speaker SPEAKER_32
transcript.pyannote[2582].start 18234.68346875
transcript.pyannote[2582].end 18235.47659375
transcript.pyannote[2583].speaker SPEAKER_32
transcript.pyannote[2583].start 18235.89846875
transcript.pyannote[2583].end 18238.61534375
transcript.pyannote[2584].speaker SPEAKER_32
transcript.pyannote[2584].start 18238.96971875
transcript.pyannote[2584].end 18239.45909375
transcript.pyannote[2585].speaker SPEAKER_32
transcript.pyannote[2585].start 18239.71221875
transcript.pyannote[2585].end 18241.43346875
transcript.pyannote[2586].speaker SPEAKER_32
transcript.pyannote[2586].start 18241.75409375
transcript.pyannote[2586].end 18245.02784375
transcript.pyannote[2587].speaker SPEAKER_06
transcript.pyannote[2587].start 18246.29346875
transcript.pyannote[2587].end 18246.76596875
transcript.pyannote[2588].speaker SPEAKER_26
transcript.pyannote[2588].start 18246.76596875
transcript.pyannote[2588].end 18246.81659375
transcript.pyannote[2589].speaker SPEAKER_32
transcript.pyannote[2589].start 18246.81659375
transcript.pyannote[2589].end 18247.03596875
transcript.pyannote[2590].speaker SPEAKER_26
transcript.pyannote[2590].start 18248.65596875
transcript.pyannote[2590].end 18251.01846875
transcript.pyannote[2591].speaker SPEAKER_26
transcript.pyannote[2591].start 18251.47409375
transcript.pyannote[2591].end 18254.17409375
transcript.pyannote[2592].speaker SPEAKER_33
transcript.pyannote[2592].start 18263.64096875
transcript.pyannote[2592].end 18264.31596875
transcript.pyannote[2593].speaker SPEAKER_33
transcript.pyannote[2593].start 18264.46784375
transcript.pyannote[2593].end 18265.61534375
transcript.pyannote[2594].speaker SPEAKER_33
transcript.pyannote[2594].start 18265.96971875
transcript.pyannote[2594].end 18266.77971875
transcript.pyannote[2595].speaker SPEAKER_33
transcript.pyannote[2595].start 18274.93034375
transcript.pyannote[2595].end 18275.41971875
transcript.pyannote[2596].speaker SPEAKER_33
transcript.pyannote[2596].start 18275.72346875
transcript.pyannote[2596].end 18284.17784375
transcript.pyannote[2597].speaker SPEAKER_33
transcript.pyannote[2597].start 18284.51534375
transcript.pyannote[2597].end 18292.29471875
transcript.pyannote[2598].speaker SPEAKER_33
transcript.pyannote[2598].start 18292.71659375
transcript.pyannote[2598].end 18296.90159375
transcript.pyannote[2599].speaker SPEAKER_05
transcript.pyannote[2599].start 18297.54284375
transcript.pyannote[2599].end 18307.68471875
transcript.pyannote[2600].speaker SPEAKER_33
transcript.pyannote[2600].start 18308.30909375
transcript.pyannote[2600].end 18308.66346875
transcript.pyannote[2601].speaker SPEAKER_33
transcript.pyannote[2601].start 18309.00096875
transcript.pyannote[2601].end 18316.27409375
transcript.pyannote[2602].speaker SPEAKER_33
transcript.pyannote[2602].start 18316.40909375
transcript.pyannote[2602].end 18319.81784375
transcript.pyannote[2603].speaker SPEAKER_05
transcript.pyannote[2603].start 18321.64034375
transcript.pyannote[2603].end 18324.81284375
transcript.pyannote[2604].speaker SPEAKER_33
transcript.pyannote[2604].start 18324.07034375
transcript.pyannote[2604].end 18324.98159375
transcript.pyannote[2605].speaker SPEAKER_05
transcript.pyannote[2605].start 18326.33159375
transcript.pyannote[2605].end 18327.49596875
transcript.pyannote[2606].speaker SPEAKER_05
transcript.pyannote[2606].start 18328.17096875
transcript.pyannote[2606].end 18328.45784375
transcript.pyannote[2607].speaker SPEAKER_05
transcript.pyannote[2607].start 18328.94721875
transcript.pyannote[2607].end 18330.06096875
transcript.pyannote[2608].speaker SPEAKER_05
transcript.pyannote[2608].start 18331.73159375
transcript.pyannote[2608].end 18332.50784375
transcript.pyannote[2609].speaker SPEAKER_05
transcript.pyannote[2609].start 18332.96346875
transcript.pyannote[2609].end 18333.92534375
transcript.pyannote[2610].speaker SPEAKER_33
transcript.pyannote[2610].start 18334.34721875
transcript.pyannote[2610].end 18335.79846875
transcript.pyannote[2611].speaker SPEAKER_05
transcript.pyannote[2611].start 18334.54971875
transcript.pyannote[2611].end 18335.78159375
transcript.pyannote[2612].speaker SPEAKER_05
transcript.pyannote[2612].start 18335.79846875
transcript.pyannote[2612].end 18335.84909375
transcript.pyannote[2613].speaker SPEAKER_33
transcript.pyannote[2613].start 18335.84909375
transcript.pyannote[2613].end 18336.38909375
transcript.pyannote[2614].speaker SPEAKER_05
transcript.pyannote[2614].start 18336.38909375
transcript.pyannote[2614].end 18336.64221875
transcript.pyannote[2615].speaker SPEAKER_33
transcript.pyannote[2615].start 18336.64221875
transcript.pyannote[2615].end 18339.42659375
transcript.pyannote[2616].speaker SPEAKER_33
transcript.pyannote[2616].start 18340.18596875
transcript.pyannote[2616].end 18345.02909375
transcript.pyannote[2617].speaker SPEAKER_33
transcript.pyannote[2617].start 18345.34971875
transcript.pyannote[2617].end 18347.30721875
transcript.pyannote[2618].speaker SPEAKER_33
transcript.pyannote[2618].start 18347.83034375
transcript.pyannote[2618].end 18357.58409375
transcript.pyannote[2619].speaker SPEAKER_33
transcript.pyannote[2619].start 18357.65159375
transcript.pyannote[2619].end 18367.10159375
transcript.pyannote[2620].speaker SPEAKER_33
transcript.pyannote[2620].start 18367.35471875
transcript.pyannote[2620].end 18371.03346875
transcript.pyannote[2621].speaker SPEAKER_05
transcript.pyannote[2621].start 18371.03346875
transcript.pyannote[2621].end 18380.55096875
transcript.pyannote[2622].speaker SPEAKER_33
transcript.pyannote[2622].start 18379.97721875
transcript.pyannote[2622].end 18380.95596875
transcript.pyannote[2623].speaker SPEAKER_05
transcript.pyannote[2623].start 18380.95596875
transcript.pyannote[2623].end 18382.66034375
transcript.pyannote[2624].speaker SPEAKER_33
transcript.pyannote[2624].start 18381.61409375
transcript.pyannote[2624].end 18384.58409375
transcript.pyannote[2625].speaker SPEAKER_05
transcript.pyannote[2625].start 18383.25096875
transcript.pyannote[2625].end 18383.55471875
transcript.pyannote[2626].speaker SPEAKER_05
transcript.pyannote[2626].start 18384.58409375
transcript.pyannote[2626].end 18398.82659375
transcript.pyannote[2627].speaker SPEAKER_33
transcript.pyannote[2627].start 18384.61784375
transcript.pyannote[2627].end 18385.12409375
transcript.pyannote[2628].speaker SPEAKER_33
transcript.pyannote[2628].start 18397.89846875
transcript.pyannote[2628].end 18400.10909375
transcript.pyannote[2629].speaker SPEAKER_05
transcript.pyannote[2629].start 18400.10909375
transcript.pyannote[2629].end 18400.15971875
transcript.pyannote[2630].speaker SPEAKER_05
transcript.pyannote[2630].start 18400.39596875
transcript.pyannote[2630].end 18409.40721875
transcript.pyannote[2631].speaker SPEAKER_24
transcript.pyannote[2631].start 18409.35659375
transcript.pyannote[2631].end 18409.72784375
transcript.pyannote[2632].speaker SPEAKER_05
transcript.pyannote[2632].start 18409.44096875
transcript.pyannote[2632].end 18428.99909375
transcript.pyannote[2633].speaker SPEAKER_33
transcript.pyannote[2633].start 18419.83596875
transcript.pyannote[2633].end 18421.32096875
transcript.pyannote[2634].speaker SPEAKER_33
transcript.pyannote[2634].start 18423.44721875
transcript.pyannote[2634].end 18425.26971875
transcript.pyannote[2635].speaker SPEAKER_05
transcript.pyannote[2635].start 18429.96096875
transcript.pyannote[2635].end 18445.89096875
transcript.pyannote[2636].speaker SPEAKER_33
transcript.pyannote[2636].start 18438.24659375
transcript.pyannote[2636].end 18438.82034375
transcript.pyannote[2637].speaker SPEAKER_33
transcript.pyannote[2637].start 18445.89096875
transcript.pyannote[2637].end 18446.07659375
transcript.pyannote[2638].speaker SPEAKER_05
transcript.pyannote[2638].start 18446.07659375
transcript.pyannote[2638].end 18446.14409375
transcript.pyannote[2639].speaker SPEAKER_33
transcript.pyannote[2639].start 18446.14409375
transcript.pyannote[2639].end 18447.03846875
transcript.pyannote[2640].speaker SPEAKER_05
transcript.pyannote[2640].start 18447.03846875
transcript.pyannote[2640].end 18447.22409375
transcript.pyannote[2641].speaker SPEAKER_33
transcript.pyannote[2641].start 18447.22409375
transcript.pyannote[2641].end 18447.25784375
transcript.pyannote[2642].speaker SPEAKER_05
transcript.pyannote[2642].start 18448.25346875
transcript.pyannote[2642].end 18452.40471875
transcript.pyannote[2643].speaker SPEAKER_05
transcript.pyannote[2643].start 18452.79284375
transcript.pyannote[2643].end 18454.86846875
transcript.pyannote[2644].speaker SPEAKER_33
transcript.pyannote[2644].start 18452.91096875
transcript.pyannote[2644].end 18453.56909375
transcript.pyannote[2645].speaker SPEAKER_05
transcript.pyannote[2645].start 18454.93596875
transcript.pyannote[2645].end 18457.21409375
transcript.pyannote[2646].speaker SPEAKER_33
transcript.pyannote[2646].start 18455.10471875
transcript.pyannote[2646].end 18456.04971875
transcript.pyannote[2647].speaker SPEAKER_33
transcript.pyannote[2647].start 18456.84284375
transcript.pyannote[2647].end 18463.74471875
transcript.pyannote[2648].speaker SPEAKER_05
transcript.pyannote[2648].start 18460.55534375
transcript.pyannote[2648].end 18460.60596875
transcript.pyannote[2649].speaker SPEAKER_33
transcript.pyannote[2649].start 18464.50409375
transcript.pyannote[2649].end 18468.33471875
transcript.pyannote[2650].speaker SPEAKER_33
transcript.pyannote[2650].start 18468.89159375
transcript.pyannote[2650].end 18470.32596875
transcript.pyannote[2651].speaker SPEAKER_33
transcript.pyannote[2651].start 18470.76471875
transcript.pyannote[2651].end 18474.83159375
transcript.pyannote[2652].speaker SPEAKER_05
transcript.pyannote[2652].start 18474.83159375
transcript.pyannote[2652].end 18480.01221875
transcript.pyannote[2653].speaker SPEAKER_05
transcript.pyannote[2653].start 18480.33284375
transcript.pyannote[2653].end 18494.77784375
transcript.pyannote[2654].speaker SPEAKER_33
transcript.pyannote[2654].start 18482.03721875
transcript.pyannote[2654].end 18483.99471875
transcript.pyannote[2655].speaker SPEAKER_33
transcript.pyannote[2655].start 18484.26471875
transcript.pyannote[2655].end 18484.65284375
transcript.pyannote[2656].speaker SPEAKER_05
transcript.pyannote[2656].start 18494.86221875
transcript.pyannote[2656].end 18501.49409375
transcript.pyannote[2657].speaker SPEAKER_05
transcript.pyannote[2657].start 18501.71346875
transcript.pyannote[2657].end 18505.42596875
transcript.pyannote[2658].speaker SPEAKER_33
transcript.pyannote[2658].start 18505.17284375
transcript.pyannote[2658].end 18509.22284375
transcript.pyannote[2659].speaker SPEAKER_33
transcript.pyannote[2659].start 18509.79659375
transcript.pyannote[2659].end 18513.13784375
transcript.pyannote[2660].speaker SPEAKER_33
transcript.pyannote[2660].start 18513.37409375
transcript.pyannote[2660].end 18524.95034375
transcript.pyannote[2661].speaker SPEAKER_05
transcript.pyannote[2661].start 18524.95034375
transcript.pyannote[2661].end 18533.40471875
transcript.pyannote[2662].speaker SPEAKER_05
transcript.pyannote[2662].start 18533.74221875
transcript.pyannote[2662].end 18538.28159375
transcript.pyannote[2663].speaker SPEAKER_33
transcript.pyannote[2663].start 18536.49284375
transcript.pyannote[2663].end 18538.60221875
transcript.pyannote[2664].speaker SPEAKER_05
transcript.pyannote[2664].start 18538.60221875
transcript.pyannote[2664].end 18540.57659375
transcript.pyannote[2665].speaker SPEAKER_33
transcript.pyannote[2665].start 18540.57659375
transcript.pyannote[2665].end 18547.22534375
transcript.pyannote[2666].speaker SPEAKER_28
transcript.pyannote[2666].start 18547.79909375
transcript.pyannote[2666].end 18547.81596875
transcript.pyannote[2667].speaker SPEAKER_33
transcript.pyannote[2667].start 18547.81596875
transcript.pyannote[2667].end 18559.72971875
transcript.pyannote[2668].speaker SPEAKER_28
transcript.pyannote[2668].start 18548.15346875
transcript.pyannote[2668].end 18548.17034375
transcript.pyannote[2669].speaker SPEAKER_05
transcript.pyannote[2669].start 18548.17034375
transcript.pyannote[2669].end 18548.92971875
transcript.pyannote[2670].speaker SPEAKER_33
transcript.pyannote[2670].start 18560.16846875
transcript.pyannote[2670].end 18568.28534375
transcript.pyannote[2671].speaker SPEAKER_05
transcript.pyannote[2671].start 18568.28534375
transcript.pyannote[2671].end 18580.03034375
transcript.pyannote[2672].speaker SPEAKER_33
transcript.pyannote[2672].start 18573.36471875
transcript.pyannote[2672].end 18573.93846875
transcript.pyannote[2673].speaker SPEAKER_33
transcript.pyannote[2673].start 18574.41096875
transcript.pyannote[2673].end 18575.60909375
transcript.pyannote[2674].speaker SPEAKER_05
transcript.pyannote[2674].start 18580.35096875
transcript.pyannote[2674].end 18581.51534375
transcript.pyannote[2675].speaker SPEAKER_33
transcript.pyannote[2675].start 18580.38471875
transcript.pyannote[2675].end 18585.05909375
transcript.pyannote[2676].speaker SPEAKER_05
transcript.pyannote[2676].start 18585.48096875
transcript.pyannote[2676].end 18596.68596875
transcript.pyannote[2677].speaker SPEAKER_33
transcript.pyannote[2677].start 18587.16846875
transcript.pyannote[2677].end 18587.99534375
transcript.pyannote[2678].speaker SPEAKER_33
transcript.pyannote[2678].start 18594.91409375
transcript.pyannote[2678].end 18597.27659375
transcript.pyannote[2679].speaker SPEAKER_05
transcript.pyannote[2679].start 18597.27659375
transcript.pyannote[2679].end 18598.55909375
transcript.pyannote[2680].speaker SPEAKER_33
transcript.pyannote[2680].start 18597.31034375
transcript.pyannote[2680].end 18597.52971875
transcript.pyannote[2681].speaker SPEAKER_05
transcript.pyannote[2681].start 18598.87971875
transcript.pyannote[2681].end 18602.23784375
transcript.pyannote[2682].speaker SPEAKER_05
transcript.pyannote[2682].start 18602.52471875
transcript.pyannote[2682].end 18605.19096875
transcript.pyannote[2683].speaker SPEAKER_33
transcript.pyannote[2683].start 18604.76909375
transcript.pyannote[2683].end 18605.98409375
transcript.pyannote[2684].speaker SPEAKER_05
transcript.pyannote[2684].start 18605.98409375
transcript.pyannote[2684].end 18607.11471875
transcript.pyannote[2685].speaker SPEAKER_05
transcript.pyannote[2685].start 18607.97534375
transcript.pyannote[2685].end 18608.39721875
transcript.pyannote[2686].speaker SPEAKER_05
transcript.pyannote[2686].start 18608.92034375
transcript.pyannote[2686].end 18614.77596875
transcript.pyannote[2687].speaker SPEAKER_05
transcript.pyannote[2687].start 18615.33284375
transcript.pyannote[2687].end 18617.10471875
transcript.pyannote[2688].speaker SPEAKER_05
transcript.pyannote[2688].start 18618.13409375
transcript.pyannote[2688].end 18618.91034375
transcript.pyannote[2689].speaker SPEAKER_33
transcript.pyannote[2689].start 18618.91034375
transcript.pyannote[2689].end 18618.92721875
transcript.pyannote[2690].speaker SPEAKER_05
transcript.pyannote[2690].start 18618.92721875
transcript.pyannote[2690].end 18619.01159375
transcript.pyannote[2691].speaker SPEAKER_33
transcript.pyannote[2691].start 18619.26471875
transcript.pyannote[2691].end 18621.23909375
transcript.pyannote[2692].speaker SPEAKER_05
transcript.pyannote[2692].start 18620.04096875
transcript.pyannote[2692].end 18636.30846875
transcript.pyannote[2693].speaker SPEAKER_33
transcript.pyannote[2693].start 18635.68409375
transcript.pyannote[2693].end 18655.52909375
transcript.pyannote[2694].speaker SPEAKER_05
transcript.pyannote[2694].start 18636.84846875
transcript.pyannote[2694].end 18639.73409375
transcript.pyannote[2695].speaker SPEAKER_05
transcript.pyannote[2695].start 18640.93221875
transcript.pyannote[2695].end 18642.56909375
transcript.pyannote[2696].speaker SPEAKER_05
transcript.pyannote[2696].start 18646.02846875
transcript.pyannote[2696].end 18647.00721875
transcript.pyannote[2697].speaker SPEAKER_00
transcript.pyannote[2697].start 18647.00721875
transcript.pyannote[2697].end 18647.05784375
transcript.pyannote[2698].speaker SPEAKER_00
transcript.pyannote[2698].start 18650.87159375
transcript.pyannote[2698].end 18650.92221875
transcript.pyannote[2699].speaker SPEAKER_32
transcript.pyannote[2699].start 18650.92221875
transcript.pyannote[2699].end 18651.20909375
transcript.pyannote[2700].speaker SPEAKER_00
transcript.pyannote[2700].start 18651.20909375
transcript.pyannote[2700].end 18651.32721875
transcript.pyannote[2701].speaker SPEAKER_33
transcript.pyannote[2701].start 18656.10284375
transcript.pyannote[2701].end 18688.28346875
transcript.pyannote[2702].speaker SPEAKER_08
transcript.pyannote[2702].start 18672.96096875
transcript.pyannote[2702].end 18673.02846875
transcript.pyannote[2703].speaker SPEAKER_08
transcript.pyannote[2703].start 18673.73721875
transcript.pyannote[2703].end 18674.27721875
transcript.pyannote[2704].speaker SPEAKER_33
transcript.pyannote[2704].start 18688.51971875
transcript.pyannote[2704].end 18691.30409375
transcript.pyannote[2705].speaker SPEAKER_33
transcript.pyannote[2705].start 18691.79346875
transcript.pyannote[2705].end 18696.56909375
transcript.pyannote[2706].speaker SPEAKER_33
transcript.pyannote[2706].start 18697.22721875
transcript.pyannote[2706].end 18705.17534375
transcript.pyannote[2707].speaker SPEAKER_33
transcript.pyannote[2707].start 18705.61409375
transcript.pyannote[2707].end 18718.70909375
transcript.pyannote[2708].speaker SPEAKER_33
transcript.pyannote[2708].start 18719.19846875
transcript.pyannote[2708].end 18720.22784375
transcript.pyannote[2709].speaker SPEAKER_33
transcript.pyannote[2709].start 18720.78471875
transcript.pyannote[2709].end 18731.78721875
transcript.pyannote[2710].speaker SPEAKER_33
transcript.pyannote[2710].start 18732.46221875
transcript.pyannote[2710].end 18733.54221875
transcript.pyannote[2711].speaker SPEAKER_33
transcript.pyannote[2711].start 18734.26784375
transcript.pyannote[2711].end 18735.87096875
transcript.pyannote[2712].speaker SPEAKER_33
transcript.pyannote[2712].start 18736.71471875
transcript.pyannote[2712].end 18738.57096875
transcript.pyannote[2713].speaker SPEAKER_05
transcript.pyannote[2713].start 18738.57096875
transcript.pyannote[2713].end 18738.60471875
transcript.pyannote[2714].speaker SPEAKER_05
transcript.pyannote[2714].start 18738.90846875
transcript.pyannote[2714].end 18738.92534375
transcript.pyannote[2715].speaker SPEAKER_33
transcript.pyannote[2715].start 18738.92534375
transcript.pyannote[2715].end 18739.78596875
transcript.pyannote[2716].speaker SPEAKER_05
transcript.pyannote[2716].start 18739.78596875
transcript.pyannote[2716].end 18739.85346875
transcript.pyannote[2717].speaker SPEAKER_05
transcript.pyannote[2717].start 18740.05596875
transcript.pyannote[2717].end 18741.38909375
transcript.pyannote[2718].speaker SPEAKER_05
transcript.pyannote[2718].start 18742.21596875
transcript.pyannote[2718].end 18750.68721875
transcript.pyannote[2719].speaker SPEAKER_05
transcript.pyannote[2719].start 18751.00784375
transcript.pyannote[2719].end 18755.47971875
transcript.pyannote[2720].speaker SPEAKER_05
transcript.pyannote[2720].start 18756.00284375
transcript.pyannote[2720].end 18760.23846875
transcript.pyannote[2721].speaker SPEAKER_05
transcript.pyannote[2721].start 18760.59284375
transcript.pyannote[2721].end 18762.53346875
transcript.pyannote[2722].speaker SPEAKER_05
transcript.pyannote[2722].start 18762.76971875
transcript.pyannote[2722].end 18765.63846875
transcript.pyannote[2723].speaker SPEAKER_05
transcript.pyannote[2723].start 18766.00971875
transcript.pyannote[2723].end 18766.29659375
transcript.pyannote[2724].speaker SPEAKER_05
transcript.pyannote[2724].start 18766.63409375
transcript.pyannote[2724].end 18767.95034375
transcript.pyannote[2725].speaker SPEAKER_05
transcript.pyannote[2725].start 18768.50721875
transcript.pyannote[2725].end 18788.26784375
transcript.pyannote[2726].speaker SPEAKER_33
transcript.pyannote[2726].start 18783.93096875
transcript.pyannote[2726].end 18784.30221875
transcript.pyannote[2727].speaker SPEAKER_33
transcript.pyannote[2727].start 18785.80409375
transcript.pyannote[2727].end 18786.17534375
transcript.pyannote[2728].speaker SPEAKER_33
transcript.pyannote[2728].start 18786.34409375
transcript.pyannote[2728].end 18786.85034375
transcript.pyannote[2729].speaker SPEAKER_33
transcript.pyannote[2729].start 18788.11596875
transcript.pyannote[2729].end 18788.35221875
transcript.pyannote[2730].speaker SPEAKER_05
transcript.pyannote[2730].start 18788.35221875
transcript.pyannote[2730].end 18788.38596875
transcript.pyannote[2731].speaker SPEAKER_33
transcript.pyannote[2731].start 18788.38596875
transcript.pyannote[2731].end 18788.41971875
transcript.pyannote[2732].speaker SPEAKER_05
transcript.pyannote[2732].start 18788.41971875
transcript.pyannote[2732].end 18788.52096875
transcript.pyannote[2733].speaker SPEAKER_33
transcript.pyannote[2733].start 18788.52096875
transcript.pyannote[2733].end 18788.65596875
transcript.pyannote[2734].speaker SPEAKER_05
transcript.pyannote[2734].start 18788.65596875
transcript.pyannote[2734].end 18788.72346875
transcript.pyannote[2735].speaker SPEAKER_33
transcript.pyannote[2735].start 18788.72346875
transcript.pyannote[2735].end 18788.75721875
transcript.pyannote[2736].speaker SPEAKER_05
transcript.pyannote[2736].start 18788.75721875
transcript.pyannote[2736].end 18788.77409375
transcript.pyannote[2737].speaker SPEAKER_33
transcript.pyannote[2737].start 18788.77409375
transcript.pyannote[2737].end 18789.17909375
transcript.pyannote[2738].speaker SPEAKER_05
transcript.pyannote[2738].start 18788.79096875
transcript.pyannote[2738].end 18790.83284375
transcript.pyannote[2739].speaker SPEAKER_33
transcript.pyannote[2739].start 18789.92159375
transcript.pyannote[2739].end 18790.91721875
transcript.pyannote[2740].speaker SPEAKER_05
transcript.pyannote[2740].start 18790.91721875
transcript.pyannote[2740].end 18791.03534375
transcript.pyannote[2741].speaker SPEAKER_33
transcript.pyannote[2741].start 18791.03534375
transcript.pyannote[2741].end 18791.10284375
transcript.pyannote[2742].speaker SPEAKER_05
transcript.pyannote[2742].start 18791.10284375
transcript.pyannote[2742].end 18791.13659375
transcript.pyannote[2743].speaker SPEAKER_33
transcript.pyannote[2743].start 18791.13659375
transcript.pyannote[2743].end 18793.68471875
transcript.pyannote[2744].speaker SPEAKER_33
transcript.pyannote[2744].start 18794.24159375
transcript.pyannote[2744].end 18796.24971875
transcript.pyannote[2745].speaker SPEAKER_33
transcript.pyannote[2745].start 18796.48596875
transcript.pyannote[2745].end 18797.19471875
transcript.pyannote[2746].speaker SPEAKER_33
transcript.pyannote[2746].start 18797.98784375
transcript.pyannote[2746].end 18805.85159375
transcript.pyannote[2747].speaker SPEAKER_33
transcript.pyannote[2747].start 18806.47596875
transcript.pyannote[2747].end 18817.73159375
transcript.pyannote[2748].speaker SPEAKER_33
transcript.pyannote[2748].start 18818.15346875
transcript.pyannote[2748].end 18823.19909375
transcript.pyannote[2749].speaker SPEAKER_33
transcript.pyannote[2749].start 18823.58721875
transcript.pyannote[2749].end 18826.01721875
transcript.pyannote[2750].speaker SPEAKER_33
transcript.pyannote[2750].start 18826.33784375
transcript.pyannote[2750].end 18827.58659375
transcript.pyannote[2751].speaker SPEAKER_33
transcript.pyannote[2751].start 18828.09284375
transcript.pyannote[2751].end 18829.42596875
transcript.pyannote[2752].speaker SPEAKER_05
transcript.pyannote[2752].start 18829.37534375
transcript.pyannote[2752].end 18840.71534375
transcript.pyannote[2753].speaker SPEAKER_05
transcript.pyannote[2753].start 18840.96846875
transcript.pyannote[2753].end 18845.84534375
transcript.pyannote[2754].speaker SPEAKER_05
transcript.pyannote[2754].start 18845.92971875
transcript.pyannote[2754].end 18854.04659375
transcript.pyannote[2755].speaker SPEAKER_33
transcript.pyannote[2755].start 18853.60784375
transcript.pyannote[2755].end 18854.97471875
transcript.pyannote[2756].speaker SPEAKER_05
transcript.pyannote[2756].start 18854.83971875
transcript.pyannote[2756].end 18854.85659375
transcript.pyannote[2757].speaker SPEAKER_05
transcript.pyannote[2757].start 18854.97471875
transcript.pyannote[2757].end 18860.25659375
transcript.pyannote[2758].speaker SPEAKER_33
transcript.pyannote[2758].start 18854.99159375
transcript.pyannote[2758].end 18855.16034375
transcript.pyannote[2759].speaker SPEAKER_05
transcript.pyannote[2759].start 18860.39159375
transcript.pyannote[2759].end 18866.90534375
transcript.pyannote[2760].speaker SPEAKER_33
transcript.pyannote[2760].start 18866.90534375
transcript.pyannote[2760].end 18879.46034375
transcript.pyannote[2761].speaker SPEAKER_05
transcript.pyannote[2761].start 18870.21284375
transcript.pyannote[2761].end 18870.60096875
transcript.pyannote[2762].speaker SPEAKER_33
transcript.pyannote[2762].start 18880.06784375
transcript.pyannote[2762].end 18912.60284375
transcript.pyannote[2763].speaker SPEAKER_05
transcript.pyannote[2763].start 18912.02909375
transcript.pyannote[2763].end 18939.97409375
transcript.pyannote[2764].speaker SPEAKER_06
transcript.pyannote[2764].start 18931.40159375
transcript.pyannote[2764].end 18932.04284375
transcript.pyannote[2765].speaker SPEAKER_00
transcript.pyannote[2765].start 18932.04284375
transcript.pyannote[2765].end 18932.07659375
transcript.pyannote[2766].speaker SPEAKER_33
transcript.pyannote[2766].start 18939.97409375
transcript.pyannote[2766].end 18954.75659375
transcript.pyannote[2767].speaker SPEAKER_05
transcript.pyannote[2767].start 18941.50971875
transcript.pyannote[2767].end 18942.28596875
transcript.pyannote[2768].speaker SPEAKER_00
transcript.pyannote[2768].start 18944.22659375
transcript.pyannote[2768].end 18944.73284375
transcript.pyannote[2769].speaker SPEAKER_26
transcript.pyannote[2769].start 18959.24534375
transcript.pyannote[2769].end 18961.55721875
transcript.pyannote[2770].speaker SPEAKER_26
transcript.pyannote[2770].start 18961.72596875
transcript.pyannote[2770].end 18964.42596875
transcript.pyannote[2771].speaker SPEAKER_14
transcript.pyannote[2771].start 18968.42534375
transcript.pyannote[2771].end 18970.58534375
transcript.pyannote[2772].speaker SPEAKER_26
transcript.pyannote[2772].start 18972.32346875
transcript.pyannote[2772].end 18972.98159375
transcript.pyannote[2773].speaker SPEAKER_14
transcript.pyannote[2773].start 18978.82034375
transcript.pyannote[2773].end 19012.04721875
transcript.pyannote[2774].speaker SPEAKER_00
transcript.pyannote[2774].start 18992.40471875
transcript.pyannote[2774].end 18992.45534375
transcript.pyannote[2775].speaker SPEAKER_22
transcript.pyannote[2775].start 18992.45534375
transcript.pyannote[2775].end 18992.69159375
transcript.pyannote[2776].speaker SPEAKER_00
transcript.pyannote[2776].start 18992.69159375
transcript.pyannote[2776].end 18992.74221875
transcript.pyannote[2777].speaker SPEAKER_14
transcript.pyannote[2777].start 19012.19909375
transcript.pyannote[2777].end 19018.12221875
transcript.pyannote[2778].speaker SPEAKER_05
transcript.pyannote[2778].start 19018.81409375
transcript.pyannote[2778].end 19020.78846875
transcript.pyannote[2779].speaker SPEAKER_05
transcript.pyannote[2779].start 19020.92346875
transcript.pyannote[2779].end 19021.98659375
transcript.pyannote[2780].speaker SPEAKER_14
transcript.pyannote[2780].start 19021.46346875
transcript.pyannote[2780].end 19021.83471875
transcript.pyannote[2781].speaker SPEAKER_05
transcript.pyannote[2781].start 19022.17221875
transcript.pyannote[2781].end 19026.27284375
transcript.pyannote[2782].speaker SPEAKER_05
transcript.pyannote[2782].start 19026.66096875
transcript.pyannote[2782].end 19029.73221875
transcript.pyannote[2783].speaker SPEAKER_05
transcript.pyannote[2783].start 19029.86721875
transcript.pyannote[2783].end 19031.62221875
transcript.pyannote[2784].speaker SPEAKER_05
transcript.pyannote[2784].start 19031.89221875
transcript.pyannote[2784].end 19037.91659375
transcript.pyannote[2785].speaker SPEAKER_14
transcript.pyannote[2785].start 19037.98409375
transcript.pyannote[2785].end 19046.16846875
transcript.pyannote[2786].speaker SPEAKER_05
transcript.pyannote[2786].start 19042.70909375
transcript.pyannote[2786].end 19043.01284375
transcript.pyannote[2787].speaker SPEAKER_05
transcript.pyannote[2787].start 19046.16846875
transcript.pyannote[2787].end 19054.67346875
transcript.pyannote[2788].speaker SPEAKER_14
transcript.pyannote[2788].start 19053.22221875
transcript.pyannote[2788].end 19056.66471875
transcript.pyannote[2789].speaker SPEAKER_05
transcript.pyannote[2789].start 19054.97721875
transcript.pyannote[2789].end 19055.36534375
transcript.pyannote[2790].speaker SPEAKER_05
transcript.pyannote[2790].start 19056.10784375
transcript.pyannote[2790].end 19066.11471875
transcript.pyannote[2791].speaker SPEAKER_14
transcript.pyannote[2791].start 19060.00596875
transcript.pyannote[2791].end 19060.25909375
transcript.pyannote[2792].speaker SPEAKER_14
transcript.pyannote[2792].start 19062.75659375
transcript.pyannote[2792].end 19064.22471875
transcript.pyannote[2793].speaker SPEAKER_14
transcript.pyannote[2793].start 19064.93346875
transcript.pyannote[2793].end 19074.82221875
transcript.pyannote[2794].speaker SPEAKER_05
transcript.pyannote[2794].start 19066.84034375
transcript.pyannote[2794].end 19068.44346875
transcript.pyannote[2795].speaker SPEAKER_06
transcript.pyannote[2795].start 19074.82221875
transcript.pyannote[2795].end 19075.32846875
transcript.pyannote[2796].speaker SPEAKER_14
transcript.pyannote[2796].start 19075.21034375
transcript.pyannote[2796].end 19085.97659375
transcript.pyannote[2797].speaker SPEAKER_06
transcript.pyannote[2797].start 19079.91846875
transcript.pyannote[2797].end 19080.40784375
transcript.pyannote[2798].speaker SPEAKER_14
transcript.pyannote[2798].start 19086.60096875
transcript.pyannote[2798].end 19113.75284375
transcript.pyannote[2799].speaker SPEAKER_05
transcript.pyannote[2799].start 19113.75284375
transcript.pyannote[2799].end 19119.55784375
transcript.pyannote[2800].speaker SPEAKER_05
transcript.pyannote[2800].start 19119.72659375
transcript.pyannote[2800].end 19123.15221875
transcript.pyannote[2801].speaker SPEAKER_05
transcript.pyannote[2801].start 19123.25346875
transcript.pyannote[2801].end 19126.62846875
transcript.pyannote[2802].speaker SPEAKER_05
transcript.pyannote[2802].start 19126.71284375
transcript.pyannote[2802].end 19133.68221875
transcript.pyannote[2803].speaker SPEAKER_14
transcript.pyannote[2803].start 19133.88471875
transcript.pyannote[2803].end 19138.96409375
transcript.pyannote[2804].speaker SPEAKER_14
transcript.pyannote[2804].start 19139.09909375
transcript.pyannote[2804].end 19142.08596875
transcript.pyannote[2805].speaker SPEAKER_05
transcript.pyannote[2805].start 19142.10284375
transcript.pyannote[2805].end 19147.51971875
transcript.pyannote[2806].speaker SPEAKER_14
transcript.pyannote[2806].start 19147.16534375
transcript.pyannote[2806].end 19159.90596875
transcript.pyannote[2807].speaker SPEAKER_05
transcript.pyannote[2807].start 19150.20284375
transcript.pyannote[2807].end 19150.67534375
transcript.pyannote[2808].speaker SPEAKER_05
transcript.pyannote[2808].start 19159.85534375
transcript.pyannote[2808].end 19160.36159375
transcript.pyannote[2809].speaker SPEAKER_14
transcript.pyannote[2809].start 19160.36159375
transcript.pyannote[2809].end 19162.20096875
transcript.pyannote[2810].speaker SPEAKER_05
transcript.pyannote[2810].start 19161.77909375
transcript.pyannote[2810].end 19163.73659375
transcript.pyannote[2811].speaker SPEAKER_14
transcript.pyannote[2811].start 19163.24721875
transcript.pyannote[2811].end 19179.98721875
transcript.pyannote[2812].speaker SPEAKER_05
transcript.pyannote[2812].start 19164.02346875
transcript.pyannote[2812].end 19164.19221875
transcript.pyannote[2813].speaker SPEAKER_05
transcript.pyannote[2813].start 19164.58034375
transcript.pyannote[2813].end 19166.57159375
transcript.pyannote[2814].speaker SPEAKER_05
transcript.pyannote[2814].start 19180.35846875
transcript.pyannote[2814].end 19180.76346875
transcript.pyannote[2815].speaker SPEAKER_14
transcript.pyannote[2815].start 19181.10096875
transcript.pyannote[2815].end 19182.29909375
transcript.pyannote[2816].speaker SPEAKER_14
transcript.pyannote[2816].start 19182.85596875
transcript.pyannote[2816].end 19185.25221875
transcript.pyannote[2817].speaker SPEAKER_14
transcript.pyannote[2817].start 19185.37034375
transcript.pyannote[2817].end 19188.96471875
transcript.pyannote[2818].speaker SPEAKER_05
transcript.pyannote[2818].start 19188.66096875
transcript.pyannote[2818].end 19188.67784375
transcript.pyannote[2819].speaker SPEAKER_06
transcript.pyannote[2819].start 19188.67784375
transcript.pyannote[2819].end 19188.84659375
transcript.pyannote[2820].speaker SPEAKER_06
transcript.pyannote[2820].start 19188.96471875
transcript.pyannote[2820].end 19190.23034375
transcript.pyannote[2821].speaker SPEAKER_14
transcript.pyannote[2821].start 19188.99846875
transcript.pyannote[2821].end 19189.03221875
transcript.pyannote[2822].speaker SPEAKER_14
transcript.pyannote[2822].start 19189.20096875
transcript.pyannote[2822].end 19209.50159375
transcript.pyannote[2823].speaker SPEAKER_05
transcript.pyannote[2823].start 19190.23034375
transcript.pyannote[2823].end 19190.24721875
transcript.pyannote[2824].speaker SPEAKER_00
transcript.pyannote[2824].start 19193.31846875
transcript.pyannote[2824].end 19193.33534375
transcript.pyannote[2825].speaker SPEAKER_06
transcript.pyannote[2825].start 19193.33534375
transcript.pyannote[2825].end 19193.53784375
transcript.pyannote[2826].speaker SPEAKER_05
transcript.pyannote[2826].start 19193.53784375
transcript.pyannote[2826].end 19193.57159375
transcript.pyannote[2827].speaker SPEAKER_27
transcript.pyannote[2827].start 19199.00534375
transcript.pyannote[2827].end 19199.41034375
transcript.pyannote[2828].speaker SPEAKER_14
transcript.pyannote[2828].start 19209.87284375
transcript.pyannote[2828].end 19210.58159375
transcript.pyannote[2829].speaker SPEAKER_14
transcript.pyannote[2829].start 19210.98659375
transcript.pyannote[2829].end 19211.91471875
transcript.pyannote[2830].speaker SPEAKER_27
transcript.pyannote[2830].start 19212.18471875
transcript.pyannote[2830].end 19214.17596875
transcript.pyannote[2831].speaker SPEAKER_14
transcript.pyannote[2831].start 19212.28596875
transcript.pyannote[2831].end 19225.78596875
transcript.pyannote[2832].speaker SPEAKER_27
transcript.pyannote[2832].start 19225.78596875
transcript.pyannote[2832].end 19226.51159375
transcript.pyannote[2833].speaker SPEAKER_14
transcript.pyannote[2833].start 19226.15721875
transcript.pyannote[2833].end 19239.77534375
transcript.pyannote[2834].speaker SPEAKER_14
transcript.pyannote[2834].start 19239.96096875
transcript.pyannote[2834].end 19250.99721875
transcript.pyannote[2835].speaker SPEAKER_14
transcript.pyannote[2835].start 19251.36846875
transcript.pyannote[2835].end 19253.86596875
transcript.pyannote[2836].speaker SPEAKER_06
transcript.pyannote[2836].start 19254.05159375
transcript.pyannote[2836].end 19254.54096875
transcript.pyannote[2837].speaker SPEAKER_14
transcript.pyannote[2837].start 19254.06846875
transcript.pyannote[2837].end 19256.22846875
transcript.pyannote[2838].speaker SPEAKER_14
transcript.pyannote[2838].start 19257.32534375
transcript.pyannote[2838].end 19259.67096875
transcript.pyannote[2839].speaker SPEAKER_14
transcript.pyannote[2839].start 19260.00846875
transcript.pyannote[2839].end 19267.02846875
transcript.pyannote[2840].speaker SPEAKER_14
transcript.pyannote[2840].start 19267.16346875
transcript.pyannote[2840].end 19272.71534375
transcript.pyannote[2841].speaker SPEAKER_14
transcript.pyannote[2841].start 19273.01909375
transcript.pyannote[2841].end 19290.07971875
transcript.pyannote[2842].speaker SPEAKER_27
transcript.pyannote[2842].start 19273.59284375
transcript.pyannote[2842].end 19273.94721875
transcript.pyannote[2843].speaker SPEAKER_00
transcript.pyannote[2843].start 19289.18534375
transcript.pyannote[2843].end 19289.20221875
transcript.pyannote[2844].speaker SPEAKER_27
transcript.pyannote[2844].start 19289.20221875
transcript.pyannote[2844].end 19289.32034375
transcript.pyannote[2845].speaker SPEAKER_00
transcript.pyannote[2845].start 19289.32034375
transcript.pyannote[2845].end 19289.48909375
transcript.pyannote[2846].speaker SPEAKER_14
transcript.pyannote[2846].start 19290.75471875
transcript.pyannote[2846].end 19295.78346875
transcript.pyannote[2847].speaker SPEAKER_14
transcript.pyannote[2847].start 19295.96909375
transcript.pyannote[2847].end 19301.13284375
transcript.pyannote[2848].speaker SPEAKER_30
transcript.pyannote[2848].start 19302.02721875
transcript.pyannote[2848].end 19302.31409375
transcript.pyannote[2849].speaker SPEAKER_14
transcript.pyannote[2849].start 19302.07784375
transcript.pyannote[2849].end 19302.53346875
transcript.pyannote[2850].speaker SPEAKER_30
transcript.pyannote[2850].start 19302.70221875
transcript.pyannote[2850].end 19302.95534375
transcript.pyannote[2851].speaker SPEAKER_14
transcript.pyannote[2851].start 19303.64721875
transcript.pyannote[2851].end 19305.58784375
transcript.pyannote[2852].speaker SPEAKER_14
transcript.pyannote[2852].start 19305.85784375
transcript.pyannote[2852].end 19308.74346875
transcript.pyannote[2853].speaker SPEAKER_14
transcript.pyannote[2853].start 19309.24971875
transcript.pyannote[2853].end 19311.02159375
transcript.pyannote[2854].speaker SPEAKER_05
transcript.pyannote[2854].start 19311.46034375
transcript.pyannote[2854].end 19317.21471875
transcript.pyannote[2855].speaker SPEAKER_14
transcript.pyannote[2855].start 19316.65784375
transcript.pyannote[2855].end 19318.58159375
transcript.pyannote[2856].speaker SPEAKER_05
transcript.pyannote[2856].start 19318.42971875
transcript.pyannote[2856].end 19324.40346875
transcript.pyannote[2857].speaker SPEAKER_05
transcript.pyannote[2857].start 19324.69034375
transcript.pyannote[2857].end 19326.09096875
transcript.pyannote[2858].speaker SPEAKER_05
transcript.pyannote[2858].start 19326.47909375
transcript.pyannote[2858].end 19329.90471875
transcript.pyannote[2859].speaker SPEAKER_05
transcript.pyannote[2859].start 19330.15784375
transcript.pyannote[2859].end 19333.17846875
transcript.pyannote[2860].speaker SPEAKER_05
transcript.pyannote[2860].start 19333.21221875
transcript.pyannote[2860].end 19337.44784375
transcript.pyannote[2861].speaker SPEAKER_14
transcript.pyannote[2861].start 19337.27909375
transcript.pyannote[2861].end 19342.12221875
transcript.pyannote[2862].speaker SPEAKER_05
transcript.pyannote[2862].start 19338.76409375
transcript.pyannote[2862].end 19339.70909375
transcript.pyannote[2863].speaker SPEAKER_05
transcript.pyannote[2863].start 19341.48096875
transcript.pyannote[2863].end 19349.17596875
transcript.pyannote[2864].speaker SPEAKER_05
transcript.pyannote[2864].start 19349.34471875
transcript.pyannote[2864].end 19352.51721875
transcript.pyannote[2865].speaker SPEAKER_14
transcript.pyannote[2865].start 19352.55096875
transcript.pyannote[2865].end 19357.34346875
transcript.pyannote[2866].speaker SPEAKER_14
transcript.pyannote[2866].start 19357.79909375
transcript.pyannote[2866].end 19367.01284375
transcript.pyannote[2867].speaker SPEAKER_00
transcript.pyannote[2867].start 19362.28784375
transcript.pyannote[2867].end 19362.30471875
transcript.pyannote[2868].speaker SPEAKER_08
transcript.pyannote[2868].start 19362.30471875
transcript.pyannote[2868].end 19362.82784375
transcript.pyannote[2869].speaker SPEAKER_08
transcript.pyannote[2869].start 19367.01284375
transcript.pyannote[2869].end 19367.36721875
transcript.pyannote[2870].speaker SPEAKER_14
transcript.pyannote[2870].start 19367.36721875
transcript.pyannote[2870].end 19375.16346875
transcript.pyannote[2871].speaker SPEAKER_14
transcript.pyannote[2871].start 19375.90596875
transcript.pyannote[2871].end 19376.44596875
transcript.pyannote[2872].speaker SPEAKER_14
transcript.pyannote[2872].start 19376.46284375
transcript.pyannote[2872].end 19376.49659375
transcript.pyannote[2873].speaker SPEAKER_27
transcript.pyannote[2873].start 19376.49659375
transcript.pyannote[2873].end 19378.43721875
transcript.pyannote[2874].speaker SPEAKER_14
transcript.pyannote[2874].start 19376.71596875
transcript.pyannote[2874].end 19396.88159375
transcript.pyannote[2875].speaker SPEAKER_27
transcript.pyannote[2875].start 19384.34346875
transcript.pyannote[2875].end 19384.63034375
transcript.pyannote[2876].speaker SPEAKER_27
transcript.pyannote[2876].start 19384.86659375
transcript.pyannote[2876].end 19385.20409375
transcript.pyannote[2877].speaker SPEAKER_08
transcript.pyannote[2877].start 19385.20409375
transcript.pyannote[2877].end 19385.22096875
transcript.pyannote[2878].speaker SPEAKER_06
transcript.pyannote[2878].start 19396.98284375
transcript.pyannote[2878].end 19397.74221875
transcript.pyannote[2879].speaker SPEAKER_14
transcript.pyannote[2879].start 19397.62409375
transcript.pyannote[2879].end 19402.48409375
transcript.pyannote[2880].speaker SPEAKER_06
transcript.pyannote[2880].start 19402.60221875
transcript.pyannote[2880].end 19403.49659375
transcript.pyannote[2881].speaker SPEAKER_14
transcript.pyannote[2881].start 19402.83846875
transcript.pyannote[2881].end 19403.41221875
transcript.pyannote[2882].speaker SPEAKER_14
transcript.pyannote[2882].start 19403.46284375
transcript.pyannote[2882].end 19423.17284375
transcript.pyannote[2883].speaker SPEAKER_14
transcript.pyannote[2883].start 19423.44284375
transcript.pyannote[2883].end 19428.33659375
transcript.pyannote[2884].speaker SPEAKER_27
transcript.pyannote[2884].start 19427.79659375
transcript.pyannote[2884].end 19428.15096875
transcript.pyannote[2885].speaker SPEAKER_14
transcript.pyannote[2885].start 19428.94409375
transcript.pyannote[2885].end 19432.65659375
transcript.pyannote[2886].speaker SPEAKER_14
transcript.pyannote[2886].start 19433.14596875
transcript.pyannote[2886].end 19436.52096875
transcript.pyannote[2887].speaker SPEAKER_14
transcript.pyannote[2887].start 19436.70659375
transcript.pyannote[2887].end 19449.56534375
transcript.pyannote[2888].speaker SPEAKER_14
transcript.pyannote[2888].start 19449.68346875
transcript.pyannote[2888].end 19449.70034375
transcript.pyannote[2889].speaker SPEAKER_06
transcript.pyannote[2889].start 19449.70034375
transcript.pyannote[2889].end 19450.25721875
transcript.pyannote[2890].speaker SPEAKER_14
transcript.pyannote[2890].start 19449.91971875
transcript.pyannote[2890].end 19451.37096875
transcript.pyannote[2891].speaker SPEAKER_06
transcript.pyannote[2891].start 19451.53971875
transcript.pyannote[2891].end 19453.22721875
transcript.pyannote[2892].speaker SPEAKER_14
transcript.pyannote[2892].start 19451.67471875
transcript.pyannote[2892].end 19452.60284375
transcript.pyannote[2893].speaker SPEAKER_26
transcript.pyannote[2893].start 19457.24346875
transcript.pyannote[2893].end 19461.98534375
transcript.pyannote[2894].speaker SPEAKER_13
transcript.pyannote[2894].start 19473.27471875
transcript.pyannote[2894].end 19473.32534375
transcript.pyannote[2895].speaker SPEAKER_13
transcript.pyannote[2895].start 19474.13534375
transcript.pyannote[2895].end 19477.52721875
transcript.pyannote[2896].speaker SPEAKER_16
transcript.pyannote[2896].start 19477.84784375
transcript.pyannote[2896].end 19478.70846875
transcript.pyannote[2897].speaker SPEAKER_16
transcript.pyannote[2897].start 19480.22721875
transcript.pyannote[2897].end 19480.51409375
transcript.pyannote[2898].speaker SPEAKER_16
transcript.pyannote[2898].start 19483.78784375
transcript.pyannote[2898].end 19485.62721875
transcript.pyannote[2899].speaker SPEAKER_26
transcript.pyannote[2899].start 19486.04909375
transcript.pyannote[2899].end 19486.87596875
transcript.pyannote[2900].speaker SPEAKER_16
transcript.pyannote[2900].start 19487.82096875
transcript.pyannote[2900].end 19488.27659375
transcript.pyannote[2901].speaker SPEAKER_05
transcript.pyannote[2901].start 19494.63846875
transcript.pyannote[2901].end 19495.22909375
transcript.pyannote[2902].speaker SPEAKER_20
transcript.pyannote[2902].start 19495.22909375
transcript.pyannote[2902].end 19496.96721875
transcript.pyannote[2903].speaker SPEAKER_22
transcript.pyannote[2903].start 19496.96721875
transcript.pyannote[2903].end 19506.97409375
transcript.pyannote[2904].speaker SPEAKER_16
transcript.pyannote[2904].start 19506.97409375
transcript.pyannote[2904].end 19508.76284375
transcript.pyannote[2905].speaker SPEAKER_22
transcript.pyannote[2905].start 19509.06659375
transcript.pyannote[2905].end 19509.08346875
transcript.pyannote[2906].speaker SPEAKER_16
transcript.pyannote[2906].start 19509.08346875
transcript.pyannote[2906].end 19512.28971875
transcript.pyannote[2907].speaker SPEAKER_22
transcript.pyannote[2907].start 19512.28971875
transcript.pyannote[2907].end 19512.32346875
transcript.pyannote[2908].speaker SPEAKER_16
transcript.pyannote[2908].start 19513.21784375
transcript.pyannote[2908].end 19513.25159375
transcript.pyannote[2909].speaker SPEAKER_22
transcript.pyannote[2909].start 19513.25159375
transcript.pyannote[2909].end 19514.41596875
transcript.pyannote[2910].speaker SPEAKER_22
transcript.pyannote[2910].start 19514.63534375
transcript.pyannote[2910].end 19526.24534375
transcript.pyannote[2911].speaker SPEAKER_22
transcript.pyannote[2911].start 19526.49846875
transcript.pyannote[2911].end 19534.69971875
transcript.pyannote[2912].speaker SPEAKER_05
transcript.pyannote[2912].start 19535.10471875
transcript.pyannote[2912].end 19536.85971875
transcript.pyannote[2913].speaker SPEAKER_05
transcript.pyannote[2913].start 19537.24784375
transcript.pyannote[2913].end 19548.77346875
transcript.pyannote[2914].speaker SPEAKER_22
transcript.pyannote[2914].start 19540.35284375
transcript.pyannote[2914].end 19540.55534375
transcript.pyannote[2915].speaker SPEAKER_32
transcript.pyannote[2915].start 19540.55534375
transcript.pyannote[2915].end 19540.58909375
transcript.pyannote[2916].speaker SPEAKER_05
transcript.pyannote[2916].start 19549.07721875
transcript.pyannote[2916].end 19559.32034375
transcript.pyannote[2917].speaker SPEAKER_16
transcript.pyannote[2917].start 19554.25784375
transcript.pyannote[2917].end 19554.67971875
transcript.pyannote[2918].speaker SPEAKER_16
transcript.pyannote[2918].start 19559.92784375
transcript.pyannote[2918].end 19562.39159375
transcript.pyannote[2919].speaker SPEAKER_05
transcript.pyannote[2919].start 19560.36659375
transcript.pyannote[2919].end 19560.61971875
transcript.pyannote[2920].speaker SPEAKER_05
transcript.pyannote[2920].start 19562.77971875
transcript.pyannote[2920].end 19568.50034375
transcript.pyannote[2921].speaker SPEAKER_16
transcript.pyannote[2921].start 19562.79659375
transcript.pyannote[2921].end 19563.97784375
transcript.pyannote[2922].speaker SPEAKER_05
transcript.pyannote[2922].start 19568.73659375
transcript.pyannote[2922].end 19570.82909375
transcript.pyannote[2923].speaker SPEAKER_16
transcript.pyannote[2923].start 19570.47471875
transcript.pyannote[2923].end 19573.00596875
transcript.pyannote[2924].speaker SPEAKER_05
transcript.pyannote[2924].start 19571.57159375
transcript.pyannote[2924].end 19575.30096875
transcript.pyannote[2925].speaker SPEAKER_16
transcript.pyannote[2925].start 19575.09846875
transcript.pyannote[2925].end 19575.40221875
transcript.pyannote[2926].speaker SPEAKER_05
transcript.pyannote[2926].start 19575.40221875
transcript.pyannote[2926].end 19575.41909375
transcript.pyannote[2927].speaker SPEAKER_05
transcript.pyannote[2927].start 19575.57096875
transcript.pyannote[2927].end 19579.31721875
transcript.pyannote[2928].speaker SPEAKER_16
transcript.pyannote[2928].start 19578.00096875
transcript.pyannote[2928].end 19578.72659375
transcript.pyannote[2929].speaker SPEAKER_16
transcript.pyannote[2929].start 19579.28346875
transcript.pyannote[2929].end 19579.30034375
transcript.pyannote[2930].speaker SPEAKER_16
transcript.pyannote[2930].start 19579.31721875
transcript.pyannote[2930].end 19579.58721875
transcript.pyannote[2931].speaker SPEAKER_05
transcript.pyannote[2931].start 19579.43534375
transcript.pyannote[2931].end 19581.05534375
transcript.pyannote[2932].speaker SPEAKER_16
transcript.pyannote[2932].start 19581.12284375
transcript.pyannote[2932].end 19581.51096875
transcript.pyannote[2933].speaker SPEAKER_05
transcript.pyannote[2933].start 19581.52784375
transcript.pyannote[2933].end 19584.58221875
transcript.pyannote[2934].speaker SPEAKER_16
transcript.pyannote[2934].start 19584.98721875
transcript.pyannote[2934].end 19588.02471875
transcript.pyannote[2935].speaker SPEAKER_05
transcript.pyannote[2935].start 19585.27409375
transcript.pyannote[2935].end 19586.79284375
transcript.pyannote[2936].speaker SPEAKER_22
transcript.pyannote[2936].start 19588.02471875
transcript.pyannote[2936].end 19588.68284375
transcript.pyannote[2937].speaker SPEAKER_16
transcript.pyannote[2937].start 19588.68284375
transcript.pyannote[2937].end 19588.95284375
transcript.pyannote[2938].speaker SPEAKER_22
transcript.pyannote[2938].start 19588.69971875
transcript.pyannote[2938].end 19588.76721875
transcript.pyannote[2939].speaker SPEAKER_05
transcript.pyannote[2939].start 19588.76721875
transcript.pyannote[2939].end 19588.93596875
transcript.pyannote[2940].speaker SPEAKER_22
transcript.pyannote[2940].start 19588.93596875
transcript.pyannote[2940].end 19592.10846875
transcript.pyannote[2941].speaker SPEAKER_22
transcript.pyannote[2941].start 19592.78346875
transcript.pyannote[2941].end 19597.44096875
transcript.pyannote[2942].speaker SPEAKER_05
transcript.pyannote[2942].start 19594.23471875
transcript.pyannote[2942].end 19594.63971875
transcript.pyannote[2943].speaker SPEAKER_05
transcript.pyannote[2943].start 19596.31034375
transcript.pyannote[2943].end 19596.68159375
transcript.pyannote[2944].speaker SPEAKER_05
transcript.pyannote[2944].start 19597.44096875
transcript.pyannote[2944].end 19598.79096875
transcript.pyannote[2945].speaker SPEAKER_22
transcript.pyannote[2945].start 19597.93034375
transcript.pyannote[2945].end 19598.63909375
transcript.pyannote[2946].speaker SPEAKER_22
transcript.pyannote[2946].start 19598.97659375
transcript.pyannote[2946].end 19600.22534375
transcript.pyannote[2947].speaker SPEAKER_05
transcript.pyannote[2947].start 19599.26346875
transcript.pyannote[2947].end 19601.72721875
transcript.pyannote[2948].speaker SPEAKER_05
transcript.pyannote[2948].start 19602.01409375
transcript.pyannote[2948].end 19602.48659375
transcript.pyannote[2949].speaker SPEAKER_22
transcript.pyannote[2949].start 19602.19971875
transcript.pyannote[2949].end 19604.34284375
transcript.pyannote[2950].speaker SPEAKER_05
transcript.pyannote[2950].start 19603.07721875
transcript.pyannote[2950].end 19603.38096875
transcript.pyannote[2951].speaker SPEAKER_05
transcript.pyannote[2951].start 19604.34284375
transcript.pyannote[2951].end 19604.64659375
transcript.pyannote[2952].speaker SPEAKER_16
transcript.pyannote[2952].start 19604.34284375
transcript.pyannote[2952].end 19604.64659375
transcript.pyannote[2953].speaker SPEAKER_22
transcript.pyannote[2953].start 19604.64659375
transcript.pyannote[2953].end 19604.96721875
transcript.pyannote[2954].speaker SPEAKER_16
transcript.pyannote[2954].start 19604.96721875
transcript.pyannote[2954].end 19606.04721875
transcript.pyannote[2955].speaker SPEAKER_05
transcript.pyannote[2955].start 19605.22034375
transcript.pyannote[2955].end 19612.24034375
transcript.pyannote[2956].speaker SPEAKER_05
transcript.pyannote[2956].start 19612.32471875
transcript.pyannote[2956].end 19615.05846875
transcript.pyannote[2957].speaker SPEAKER_16
transcript.pyannote[2957].start 19612.61159375
transcript.pyannote[2957].end 19612.69596875
transcript.pyannote[2958].speaker SPEAKER_22
transcript.pyannote[2958].start 19615.27784375
transcript.pyannote[2958].end 19629.26721875
transcript.pyannote[2959].speaker SPEAKER_05
transcript.pyannote[2959].start 19620.37409375
transcript.pyannote[2959].end 19620.77909375
transcript.pyannote[2960].speaker SPEAKER_05
transcript.pyannote[2960].start 19623.27659375
transcript.pyannote[2960].end 19623.56346875
transcript.pyannote[2961].speaker SPEAKER_05
transcript.pyannote[2961].start 19624.74471875
transcript.pyannote[2961].end 19626.63471875
transcript.pyannote[2962].speaker SPEAKER_05
transcript.pyannote[2962].start 19628.72721875
transcript.pyannote[2962].end 19631.37659375
transcript.pyannote[2963].speaker SPEAKER_22
transcript.pyannote[2963].start 19631.59596875
transcript.pyannote[2963].end 19640.87721875
transcript.pyannote[2964].speaker SPEAKER_08
transcript.pyannote[2964].start 19640.82659375
transcript.pyannote[2964].end 19641.11346875
transcript.pyannote[2965].speaker SPEAKER_22
transcript.pyannote[2965].start 19641.11346875
transcript.pyannote[2965].end 19643.17221875
transcript.pyannote[2966].speaker SPEAKER_16
transcript.pyannote[2966].start 19643.17221875
transcript.pyannote[2966].end 19643.32409375
transcript.pyannote[2967].speaker SPEAKER_08
transcript.pyannote[2967].start 19643.17221875
transcript.pyannote[2967].end 19643.52659375
transcript.pyannote[2968].speaker SPEAKER_22
transcript.pyannote[2968].start 19643.32409375
transcript.pyannote[2968].end 19643.34096875
transcript.pyannote[2969].speaker SPEAKER_16
transcript.pyannote[2969].start 19643.34096875
transcript.pyannote[2969].end 19643.35784375
transcript.pyannote[2970].speaker SPEAKER_22
transcript.pyannote[2970].start 19643.35784375
transcript.pyannote[2970].end 19643.37471875
transcript.pyannote[2971].speaker SPEAKER_22
transcript.pyannote[2971].start 19643.49284375
transcript.pyannote[2971].end 19646.96909375
transcript.pyannote[2972].speaker SPEAKER_16
transcript.pyannote[2972].start 19643.52659375
transcript.pyannote[2972].end 19643.54346875
transcript.pyannote[2973].speaker SPEAKER_16
transcript.pyannote[2973].start 19646.96909375
transcript.pyannote[2973].end 19647.03659375
transcript.pyannote[2974].speaker SPEAKER_22
transcript.pyannote[2974].start 19647.03659375
transcript.pyannote[2974].end 19647.96471875
transcript.pyannote[2975].speaker SPEAKER_16
transcript.pyannote[2975].start 19647.96471875
transcript.pyannote[2975].end 19648.03221875
transcript.pyannote[2976].speaker SPEAKER_22
transcript.pyannote[2976].start 19648.03221875
transcript.pyannote[2976].end 19656.03096875
transcript.pyannote[2977].speaker SPEAKER_22
transcript.pyannote[2977].start 19656.26721875
transcript.pyannote[2977].end 19674.47534375
transcript.pyannote[2978].speaker SPEAKER_22
transcript.pyannote[2978].start 19674.99846875
transcript.pyannote[2978].end 19689.15659375
transcript.pyannote[2979].speaker SPEAKER_22
transcript.pyannote[2979].start 19689.47721875
transcript.pyannote[2979].end 19701.18846875
transcript.pyannote[2980].speaker SPEAKER_22
transcript.pyannote[2980].start 19701.93096875
transcript.pyannote[2980].end 19707.28034375
transcript.pyannote[2981].speaker SPEAKER_05
transcript.pyannote[2981].start 19706.60534375
transcript.pyannote[2981].end 19706.99346875
transcript.pyannote[2982].speaker SPEAKER_05
transcript.pyannote[2982].start 19707.28034375
transcript.pyannote[2982].end 19714.94159375
transcript.pyannote[2983].speaker SPEAKER_05
transcript.pyannote[2983].start 19715.19471875
transcript.pyannote[2983].end 19716.93284375
transcript.pyannote[2984].speaker SPEAKER_05
transcript.pyannote[2984].start 19717.05096875
transcript.pyannote[2984].end 19723.17659375
transcript.pyannote[2985].speaker SPEAKER_27
transcript.pyannote[2985].start 19723.27784375
transcript.pyannote[2985].end 19723.64909375
transcript.pyannote[2986].speaker SPEAKER_05
transcript.pyannote[2986].start 19723.34534375
transcript.pyannote[2986].end 19729.03221875
transcript.pyannote[2987].speaker SPEAKER_22
transcript.pyannote[2987].start 19728.79596875
transcript.pyannote[2987].end 19728.81284375
transcript.pyannote[2988].speaker SPEAKER_16
transcript.pyannote[2988].start 19728.81284375
transcript.pyannote[2988].end 19729.03221875
transcript.pyannote[2989].speaker SPEAKER_22
transcript.pyannote[2989].start 19729.03221875
transcript.pyannote[2989].end 19732.60971875
transcript.pyannote[2990].speaker SPEAKER_05
transcript.pyannote[2990].start 19729.79159375
transcript.pyannote[2990].end 19730.09534375
transcript.pyannote[2991].speaker SPEAKER_05
transcript.pyannote[2991].start 19730.60159375
transcript.pyannote[2991].end 19731.44534375
transcript.pyannote[2992].speaker SPEAKER_05
transcript.pyannote[2992].start 19732.60971875
transcript.pyannote[2992].end 19735.59659375
transcript.pyannote[2993].speaker SPEAKER_05
transcript.pyannote[2993].start 19735.78221875
transcript.pyannote[2993].end 19737.87471875
transcript.pyannote[2994].speaker SPEAKER_22
transcript.pyannote[2994].start 19735.84971875
transcript.pyannote[2994].end 19736.25471875
transcript.pyannote[2995].speaker SPEAKER_22
transcript.pyannote[2995].start 19737.97596875
transcript.pyannote[2995].end 19751.40846875
transcript.pyannote[2996].speaker SPEAKER_05
transcript.pyannote[2996].start 19745.19846875
transcript.pyannote[2996].end 19745.28284375
transcript.pyannote[2997].speaker SPEAKER_06
transcript.pyannote[2997].start 19745.28284375
transcript.pyannote[2997].end 19745.62034375
transcript.pyannote[2998].speaker SPEAKER_05
transcript.pyannote[2998].start 19745.62034375
transcript.pyannote[2998].end 19745.63721875
transcript.pyannote[2999].speaker SPEAKER_06
transcript.pyannote[2999].start 19751.15534375
transcript.pyannote[2999].end 19751.83034375
transcript.pyannote[3000].speaker SPEAKER_22
transcript.pyannote[3000].start 19751.47596875
transcript.pyannote[3000].end 19755.57659375
transcript.pyannote[3001].speaker SPEAKER_22
transcript.pyannote[3001].start 19756.35284375
transcript.pyannote[3001].end 19763.30534375
transcript.pyannote[3002].speaker SPEAKER_22
transcript.pyannote[3002].start 19763.37284375
transcript.pyannote[3002].end 19796.73471875
transcript.pyannote[3003].speaker SPEAKER_22
transcript.pyannote[3003].start 19796.86971875
transcript.pyannote[3003].end 19798.99596875
transcript.pyannote[3004].speaker SPEAKER_22
transcript.pyannote[3004].start 19799.28284375
transcript.pyannote[3004].end 19822.58721875
transcript.pyannote[3005].speaker SPEAKER_05
transcript.pyannote[3005].start 19822.48596875
transcript.pyannote[3005].end 19827.29534375
transcript.pyannote[3006].speaker SPEAKER_22
transcript.pyannote[3006].start 19822.60409375
transcript.pyannote[3006].end 19823.92034375
transcript.pyannote[3007].speaker SPEAKER_05
transcript.pyannote[3007].start 19827.61596875
transcript.pyannote[3007].end 19830.51846875
transcript.pyannote[3008].speaker SPEAKER_05
transcript.pyannote[3008].start 19830.78846875
transcript.pyannote[3008].end 19834.99034375
transcript.pyannote[3009].speaker SPEAKER_22
transcript.pyannote[3009].start 19835.12534375
transcript.pyannote[3009].end 19840.62659375
transcript.pyannote[3010].speaker SPEAKER_05
transcript.pyannote[3010].start 19840.57596875
transcript.pyannote[3010].end 19842.80346875
transcript.pyannote[3011].speaker SPEAKER_22
transcript.pyannote[3011].start 19842.65159375
transcript.pyannote[3011].end 19848.47346875
transcript.pyannote[3012].speaker SPEAKER_05
transcript.pyannote[3012].start 19843.07346875
transcript.pyannote[3012].end 19843.57971875
transcript.pyannote[3013].speaker SPEAKER_05
transcript.pyannote[3013].start 19847.64659375
transcript.pyannote[3013].end 19849.03034375
transcript.pyannote[3014].speaker SPEAKER_05
transcript.pyannote[3014].start 19849.51971875
transcript.pyannote[3014].end 19850.31284375
transcript.pyannote[3015].speaker SPEAKER_22
transcript.pyannote[3015].start 19852.03409375
transcript.pyannote[3015].end 19852.05096875
transcript.pyannote[3016].speaker SPEAKER_16
transcript.pyannote[3016].start 19852.05096875
transcript.pyannote[3016].end 19853.51909375
transcript.pyannote[3017].speaker SPEAKER_05
transcript.pyannote[3017].start 19852.70909375
transcript.pyannote[3017].end 19852.96221875
transcript.pyannote[3018].speaker SPEAKER_05
transcript.pyannote[3018].start 19853.51909375
transcript.pyannote[3018].end 19853.65409375
transcript.pyannote[3019].speaker SPEAKER_16
transcript.pyannote[3019].start 19853.99159375
transcript.pyannote[3019].end 19854.70034375
transcript.pyannote[3020].speaker SPEAKER_05
transcript.pyannote[3020].start 19857.11346875
transcript.pyannote[3020].end 19857.46784375
transcript.pyannote[3021].speaker SPEAKER_05
transcript.pyannote[3021].start 19857.50159375
transcript.pyannote[3021].end 19858.75034375
transcript.pyannote[3022].speaker SPEAKER_05
transcript.pyannote[3022].start 19859.42534375
transcript.pyannote[3022].end 19859.64471875
transcript.pyannote[3023].speaker SPEAKER_05
transcript.pyannote[3023].start 19859.69534375
transcript.pyannote[3023].end 19863.77909375
transcript.pyannote[3024].speaker SPEAKER_05
transcript.pyannote[3024].start 19864.01534375
transcript.pyannote[3024].end 19864.87596875
transcript.pyannote[3025].speaker SPEAKER_22
transcript.pyannote[3025].start 19864.11659375
transcript.pyannote[3025].end 19873.87034375
transcript.pyannote[3026].speaker SPEAKER_05
transcript.pyannote[3026].start 19867.13721875
transcript.pyannote[3026].end 19867.44096875
transcript.pyannote[3027].speaker SPEAKER_05
transcript.pyannote[3027].start 19868.57159375
transcript.pyannote[3027].end 19868.65596875
transcript.pyannote[3028].speaker SPEAKER_05
transcript.pyannote[3028].start 19872.57096875
transcript.pyannote[3028].end 19878.37596875
transcript.pyannote[3029].speaker SPEAKER_05
transcript.pyannote[3029].start 19878.74721875
transcript.pyannote[3029].end 19880.01284375
transcript.pyannote[3030].speaker SPEAKER_05
transcript.pyannote[3030].start 19880.16471875
transcript.pyannote[3030].end 19881.83534375
transcript.pyannote[3031].speaker SPEAKER_08
transcript.pyannote[3031].start 19881.83534375
transcript.pyannote[3031].end 19882.20659375
transcript.pyannote[3032].speaker SPEAKER_05
transcript.pyannote[3032].start 19882.13909375
transcript.pyannote[3032].end 19886.03721875
transcript.pyannote[3033].speaker SPEAKER_16
transcript.pyannote[3033].start 19882.20659375
transcript.pyannote[3033].end 19882.93221875
transcript.pyannote[3034].speaker SPEAKER_05
transcript.pyannote[3034].start 19886.22284375
transcript.pyannote[3034].end 19887.30284375
transcript.pyannote[3035].speaker SPEAKER_16
transcript.pyannote[3035].start 19887.84284375
transcript.pyannote[3035].end 19891.03221875
transcript.pyannote[3036].speaker SPEAKER_22
transcript.pyannote[3036].start 19891.03221875
transcript.pyannote[3036].end 19899.31784375
transcript.pyannote[3037].speaker SPEAKER_22
transcript.pyannote[3037].start 19899.62159375
transcript.pyannote[3037].end 19905.29159375
transcript.pyannote[3038].speaker SPEAKER_05
transcript.pyannote[3038].start 19904.85284375
transcript.pyannote[3038].end 19905.22409375
transcript.pyannote[3039].speaker SPEAKER_05
transcript.pyannote[3039].start 19905.29159375
transcript.pyannote[3039].end 19905.30846875
transcript.pyannote[3040].speaker SPEAKER_05
transcript.pyannote[3040].start 19905.61221875
transcript.pyannote[3040].end 19906.67534375
transcript.pyannote[3041].speaker SPEAKER_22
transcript.pyannote[3041].start 19905.62909375
transcript.pyannote[3041].end 19906.00034375
transcript.pyannote[3042].speaker SPEAKER_22
transcript.pyannote[3042].start 19907.14784375
transcript.pyannote[3042].end 19910.99534375
transcript.pyannote[3043].speaker SPEAKER_05
transcript.pyannote[3043].start 19908.05909375
transcript.pyannote[3043].end 19909.59471875
transcript.pyannote[3044].speaker SPEAKER_22
transcript.pyannote[3044].start 19911.46784375
transcript.pyannote[3044].end 19926.16596875
transcript.pyannote[3045].speaker SPEAKER_05
transcript.pyannote[3045].start 19915.09596875
transcript.pyannote[3045].end 19915.11284375
transcript.pyannote[3046].speaker SPEAKER_20
transcript.pyannote[3046].start 19915.11284375
transcript.pyannote[3046].end 19915.12971875
transcript.pyannote[3047].speaker SPEAKER_16
transcript.pyannote[3047].start 19915.12971875
transcript.pyannote[3047].end 19915.51784375
transcript.pyannote[3048].speaker SPEAKER_22
transcript.pyannote[3048].start 19926.46971875
transcript.pyannote[3048].end 19937.82659375
transcript.pyannote[3049].speaker SPEAKER_06
transcript.pyannote[3049].start 19931.56596875
transcript.pyannote[3049].end 19932.20721875
transcript.pyannote[3050].speaker SPEAKER_06
transcript.pyannote[3050].start 19937.50596875
transcript.pyannote[3050].end 19937.80971875
transcript.pyannote[3051].speaker SPEAKER_06
transcript.pyannote[3051].start 19937.82659375
transcript.pyannote[3051].end 19937.87721875
transcript.pyannote[3052].speaker SPEAKER_06
transcript.pyannote[3052].start 19938.23159375
transcript.pyannote[3052].end 19938.82221875
transcript.pyannote[3053].speaker SPEAKER_26
transcript.pyannote[3053].start 19942.68659375
transcript.pyannote[3053].end 19943.36159375
transcript.pyannote[3054].speaker SPEAKER_26
transcript.pyannote[3054].start 19944.72846875
transcript.pyannote[3054].end 19947.86721875
transcript.pyannote[3055].speaker SPEAKER_26
transcript.pyannote[3055].start 19948.64346875
transcript.pyannote[3055].end 19954.54971875
transcript.pyannote[3056].speaker SPEAKER_20
transcript.pyannote[3056].start 19959.79784375
transcript.pyannote[3056].end 19971.99846875
transcript.pyannote[3057].speaker SPEAKER_26
transcript.pyannote[3057].start 19974.74909375
transcript.pyannote[3057].end 19975.62659375
transcript.pyannote[3058].speaker SPEAKER_20
transcript.pyannote[3058].start 19989.61596875
transcript.pyannote[3058].end 19995.25221875
transcript.pyannote[3059].speaker SPEAKER_20
transcript.pyannote[3059].start 19997.10846875
transcript.pyannote[3059].end 20022.42096875
transcript.pyannote[3060].speaker SPEAKER_20
transcript.pyannote[3060].start 20023.33221875
transcript.pyannote[3060].end 20075.17221875
transcript.pyannote[3061].speaker SPEAKER_20
transcript.pyannote[3061].start 20075.50971875
transcript.pyannote[3061].end 20100.02909375
transcript.pyannote[3062].speaker SPEAKER_20
transcript.pyannote[3062].start 20100.45096875
transcript.pyannote[3062].end 20160.03659375
transcript.pyannote[3063].speaker SPEAKER_20
transcript.pyannote[3063].start 20160.44159375
transcript.pyannote[3063].end 20224.78596875
transcript.pyannote[3064].speaker SPEAKER_22
transcript.pyannote[3064].start 20225.66346875
transcript.pyannote[3064].end 20231.75534375
transcript.pyannote[3065].speaker SPEAKER_22
transcript.pyannote[3065].start 20231.94096875
transcript.pyannote[3065].end 20237.40846875
transcript.pyannote[3066].speaker SPEAKER_22
transcript.pyannote[3066].start 20237.61096875
transcript.pyannote[3066].end 20240.83409375
transcript.pyannote[3067].speaker SPEAKER_22
transcript.pyannote[3067].start 20241.25596875
transcript.pyannote[3067].end 20247.71909375
transcript.pyannote[3068].speaker SPEAKER_22
transcript.pyannote[3068].start 20248.05659375
transcript.pyannote[3068].end 20250.16596875
transcript.pyannote[3069].speaker SPEAKER_20
transcript.pyannote[3069].start 20250.16596875
transcript.pyannote[3069].end 20250.21659375
transcript.pyannote[3070].speaker SPEAKER_22
transcript.pyannote[3070].start 20250.65534375
transcript.pyannote[3070].end 20251.02659375
transcript.pyannote[3071].speaker SPEAKER_20
transcript.pyannote[3071].start 20251.02659375
transcript.pyannote[3071].end 20259.24471875
transcript.pyannote[3072].speaker SPEAKER_22
transcript.pyannote[3072].start 20257.59096875
transcript.pyannote[3072].end 20257.89471875
transcript.pyannote[3073].speaker SPEAKER_20
transcript.pyannote[3073].start 20259.93659375
transcript.pyannote[3073].end 20266.97346875
transcript.pyannote[3074].speaker SPEAKER_22
transcript.pyannote[3074].start 20266.97346875
transcript.pyannote[3074].end 20286.14346875
transcript.pyannote[3075].speaker SPEAKER_22
transcript.pyannote[3075].start 20286.31221875
transcript.pyannote[3075].end 20289.02909375
transcript.pyannote[3076].speaker SPEAKER_22
transcript.pyannote[3076].start 20289.26534375
transcript.pyannote[3076].end 20299.98096875
transcript.pyannote[3077].speaker SPEAKER_20
transcript.pyannote[3077].start 20298.98534375
transcript.pyannote[3077].end 20301.26346875
transcript.pyannote[3078].speaker SPEAKER_20
transcript.pyannote[3078].start 20301.34784375
transcript.pyannote[3078].end 20323.60596875
transcript.pyannote[3079].speaker SPEAKER_22
transcript.pyannote[3079].start 20301.48284375
transcript.pyannote[3079].end 20301.93846875
transcript.pyannote[3080].speaker SPEAKER_31
transcript.pyannote[3080].start 20323.89284375
transcript.pyannote[3080].end 20349.44159375
transcript.pyannote[3081].speaker SPEAKER_20
transcript.pyannote[3081].start 20325.25971875
transcript.pyannote[3081].end 20325.31034375
transcript.pyannote[3082].speaker SPEAKER_20
transcript.pyannote[3082].start 20345.76284375
transcript.pyannote[3082].end 20350.45409375
transcript.pyannote[3083].speaker SPEAKER_31
transcript.pyannote[3083].start 20349.88034375
transcript.pyannote[3083].end 20355.75284375
transcript.pyannote[3084].speaker SPEAKER_20
transcript.pyannote[3084].start 20351.28096875
transcript.pyannote[3084].end 20351.38221875
transcript.pyannote[3085].speaker SPEAKER_20
transcript.pyannote[3085].start 20355.46596875
transcript.pyannote[3085].end 20359.04346875
transcript.pyannote[3086].speaker SPEAKER_31
transcript.pyannote[3086].start 20359.04346875
transcript.pyannote[3086].end 20363.27909375
transcript.pyannote[3087].speaker SPEAKER_20
transcript.pyannote[3087].start 20362.67159375
transcript.pyannote[3087].end 20364.13971875
transcript.pyannote[3088].speaker SPEAKER_31
transcript.pyannote[3088].start 20364.13971875
transcript.pyannote[3088].end 20367.56534375
transcript.pyannote[3089].speaker SPEAKER_20
transcript.pyannote[3089].start 20367.05909375
transcript.pyannote[3089].end 20371.39596875
transcript.pyannote[3090].speaker SPEAKER_31
transcript.pyannote[3090].start 20371.64909375
transcript.pyannote[3090].end 20376.66096875
transcript.pyannote[3091].speaker SPEAKER_20
transcript.pyannote[3091].start 20374.70346875
transcript.pyannote[3091].end 20375.68221875
transcript.pyannote[3092].speaker SPEAKER_20
transcript.pyannote[3092].start 20376.39096875
transcript.pyannote[3092].end 20381.40284375
transcript.pyannote[3093].speaker SPEAKER_31
transcript.pyannote[3093].start 20382.22971875
transcript.pyannote[3093].end 20390.98784375
transcript.pyannote[3094].speaker SPEAKER_20
transcript.pyannote[3094].start 20390.80221875
transcript.pyannote[3094].end 20401.85534375
transcript.pyannote[3095].speaker SPEAKER_20
transcript.pyannote[3095].start 20403.59346875
transcript.pyannote[3095].end 20411.94659375
transcript.pyannote[3096].speaker SPEAKER_22
transcript.pyannote[3096].start 20412.03096875
transcript.pyannote[3096].end 20412.04784375
transcript.pyannote[3097].speaker SPEAKER_20
transcript.pyannote[3097].start 20412.04784375
transcript.pyannote[3097].end 20412.06471875
transcript.pyannote[3098].speaker SPEAKER_15
transcript.pyannote[3098].start 20412.06471875
transcript.pyannote[3098].end 20412.89159375
transcript.pyannote[3099].speaker SPEAKER_20
transcript.pyannote[3099].start 20412.28409375
transcript.pyannote[3099].end 20413.43159375
transcript.pyannote[3100].speaker SPEAKER_22
transcript.pyannote[3100].start 20413.43159375
transcript.pyannote[3100].end 20435.38596875
transcript.pyannote[3101].speaker SPEAKER_15
transcript.pyannote[3101].start 20414.96721875
transcript.pyannote[3101].end 20415.43971875
transcript.pyannote[3102].speaker SPEAKER_22
transcript.pyannote[3102].start 20435.72346875
transcript.pyannote[3102].end 20439.72284375
transcript.pyannote[3103].speaker SPEAKER_15
transcript.pyannote[3103].start 20436.33096875
transcript.pyannote[3103].end 20437.24221875
transcript.pyannote[3104].speaker SPEAKER_22
transcript.pyannote[3104].start 20439.90846875
transcript.pyannote[3104].end 20442.03471875
transcript.pyannote[3105].speaker SPEAKER_15
transcript.pyannote[3105].start 20442.03471875
transcript.pyannote[3105].end 20442.96284375
transcript.pyannote[3106].speaker SPEAKER_22
transcript.pyannote[3106].start 20442.96284375
transcript.pyannote[3106].end 20445.56159375
transcript.pyannote[3107].speaker SPEAKER_15
transcript.pyannote[3107].start 20444.26221875
transcript.pyannote[3107].end 20445.27471875
transcript.pyannote[3108].speaker SPEAKER_20
transcript.pyannote[3108].start 20445.27471875
transcript.pyannote[3108].end 20445.30846875
transcript.pyannote[3109].speaker SPEAKER_20
transcript.pyannote[3109].start 20445.56159375
transcript.pyannote[3109].end 20445.62909375
transcript.pyannote[3110].speaker SPEAKER_22
transcript.pyannote[3110].start 20445.62909375
transcript.pyannote[3110].end 20445.64596875
transcript.pyannote[3111].speaker SPEAKER_20
transcript.pyannote[3111].start 20445.64596875
transcript.pyannote[3111].end 20445.66284375
transcript.pyannote[3112].speaker SPEAKER_22
transcript.pyannote[3112].start 20445.66284375
transcript.pyannote[3112].end 20445.67971875
transcript.pyannote[3113].speaker SPEAKER_20
transcript.pyannote[3113].start 20445.67971875
transcript.pyannote[3113].end 20445.73034375
transcript.pyannote[3114].speaker SPEAKER_22
transcript.pyannote[3114].start 20445.73034375
transcript.pyannote[3114].end 20445.76409375
transcript.pyannote[3115].speaker SPEAKER_20
transcript.pyannote[3115].start 20445.76409375
transcript.pyannote[3115].end 20446.08471875
transcript.pyannote[3116].speaker SPEAKER_22
transcript.pyannote[3116].start 20446.08471875
transcript.pyannote[3116].end 20446.97909375
transcript.pyannote[3117].speaker SPEAKER_20
transcript.pyannote[3117].start 20446.10159375
transcript.pyannote[3117].end 20446.16909375
transcript.pyannote[3118].speaker SPEAKER_15
transcript.pyannote[3118].start 20446.16909375
transcript.pyannote[3118].end 20446.81034375
transcript.pyannote[3119].speaker SPEAKER_20
transcript.pyannote[3119].start 20446.81034375
transcript.pyannote[3119].end 20446.96221875
transcript.pyannote[3120].speaker SPEAKER_15
transcript.pyannote[3120].start 20446.96221875
transcript.pyannote[3120].end 20446.97909375
transcript.pyannote[3121].speaker SPEAKER_20
transcript.pyannote[3121].start 20446.97909375
transcript.pyannote[3121].end 20447.02971875
transcript.pyannote[3122].speaker SPEAKER_22
transcript.pyannote[3122].start 20447.02971875
transcript.pyannote[3122].end 20477.03346875
transcript.pyannote[3123].speaker SPEAKER_20
transcript.pyannote[3123].start 20447.83971875
transcript.pyannote[3123].end 20447.97471875
transcript.pyannote[3124].speaker SPEAKER_20
transcript.pyannote[3124].start 20477.03346875
transcript.pyannote[3124].end 20480.79659375
transcript.pyannote[3125].speaker SPEAKER_22
transcript.pyannote[3125].start 20478.87284375
transcript.pyannote[3125].end 20482.70346875
transcript.pyannote[3126].speaker SPEAKER_20
transcript.pyannote[3126].start 20482.21409375
transcript.pyannote[3126].end 20482.66971875
transcript.pyannote[3127].speaker SPEAKER_20
transcript.pyannote[3127].start 20482.70346875
transcript.pyannote[3127].end 20482.97346875
transcript.pyannote[3128].speaker SPEAKER_22
transcript.pyannote[3128].start 20482.97346875
transcript.pyannote[3128].end 20483.02409375
transcript.pyannote[3129].speaker SPEAKER_20
transcript.pyannote[3129].start 20483.02409375
transcript.pyannote[3129].end 20483.81721875
transcript.pyannote[3130].speaker SPEAKER_27
transcript.pyannote[3130].start 20483.98596875
transcript.pyannote[3130].end 20484.08721875
transcript.pyannote[3131].speaker SPEAKER_20
transcript.pyannote[3131].start 20484.22221875
transcript.pyannote[3131].end 20523.20346875
transcript.pyannote[3132].speaker SPEAKER_20
transcript.pyannote[3132].start 20523.57471875
transcript.pyannote[3132].end 20525.93721875
transcript.pyannote[3133].speaker SPEAKER_31
transcript.pyannote[3133].start 20527.33784375
transcript.pyannote[3133].end 20528.95784375
transcript.pyannote[3134].speaker SPEAKER_20
transcript.pyannote[3134].start 20529.78471875
transcript.pyannote[3134].end 20533.58159375
transcript.pyannote[3135].speaker SPEAKER_31
transcript.pyannote[3135].start 20532.40034375
transcript.pyannote[3135].end 20550.22034375
transcript.pyannote[3136].speaker SPEAKER_20
transcript.pyannote[3136].start 20534.25659375
transcript.pyannote[3136].end 20534.56034375
transcript.pyannote[3137].speaker SPEAKER_20
transcript.pyannote[3137].start 20539.13346875
transcript.pyannote[3137].end 20539.67346875
transcript.pyannote[3138].speaker SPEAKER_20
transcript.pyannote[3138].start 20546.52471875
transcript.pyannote[3138].end 20546.91284375
transcript.pyannote[3139].speaker SPEAKER_20
transcript.pyannote[3139].start 20549.86596875
transcript.pyannote[3139].end 20584.56096875
transcript.pyannote[3140].speaker SPEAKER_31
transcript.pyannote[3140].start 20585.05034375
transcript.pyannote[3140].end 20586.50159375
transcript.pyannote[3141].speaker SPEAKER_20
transcript.pyannote[3141].start 20586.50159375
transcript.pyannote[3141].end 20590.33221875
transcript.pyannote[3142].speaker SPEAKER_20
transcript.pyannote[3142].start 20591.09159375
transcript.pyannote[3142].end 20593.03221875
transcript.pyannote[3143].speaker SPEAKER_26
transcript.pyannote[3143].start 20596.42409375
transcript.pyannote[3143].end 20598.65159375
transcript.pyannote[3144].speaker SPEAKER_26
transcript.pyannote[3144].start 20599.44471875
transcript.pyannote[3144].end 20602.19534375
transcript.pyannote[3145].speaker SPEAKER_22
transcript.pyannote[3145].start 20610.32909375
transcript.pyannote[3145].end 20615.52659375
transcript.pyannote[3146].speaker SPEAKER_26
transcript.pyannote[3146].start 20613.55221875
transcript.pyannote[3146].end 20614.54784375
transcript.pyannote[3147].speaker SPEAKER_26
transcript.pyannote[3147].start 20616.01596875
transcript.pyannote[3147].end 20617.80471875
transcript.pyannote[3148].speaker SPEAKER_05
transcript.pyannote[3148].start 20623.69409375
transcript.pyannote[3148].end 20624.25096875
transcript.pyannote[3149].speaker SPEAKER_22
transcript.pyannote[3149].start 20624.70659375
transcript.pyannote[3149].end 20646.55971875
transcript.pyannote[3150].speaker SPEAKER_22
transcript.pyannote[3150].start 20646.77909375
transcript.pyannote[3150].end 20688.98346875
transcript.pyannote[3151].speaker SPEAKER_29
transcript.pyannote[3151].start 20692.34159375
transcript.pyannote[3151].end 20721.70409375
transcript.pyannote[3152].speaker SPEAKER_22
transcript.pyannote[3152].start 20722.48034375
transcript.pyannote[3152].end 20806.65284375
transcript.pyannote[3153].speaker SPEAKER_22
transcript.pyannote[3153].start 20806.80471875
transcript.pyannote[3153].end 20866.59284375
transcript.pyannote[3154].speaker SPEAKER_23
transcript.pyannote[3154].start 20868.97221875
transcript.pyannote[3154].end 20869.20846875
transcript.pyannote[3155].speaker SPEAKER_29
transcript.pyannote[3155].start 20870.57534375
transcript.pyannote[3155].end 20911.24409375
transcript.pyannote[3156].speaker SPEAKER_22
transcript.pyannote[3156].start 20911.24409375
transcript.pyannote[3156].end 20917.80846875
transcript.pyannote[3157].speaker SPEAKER_29
transcript.pyannote[3157].start 20919.25971875
transcript.pyannote[3157].end 20923.47846875
transcript.pyannote[3158].speaker SPEAKER_22
transcript.pyannote[3158].start 20923.78221875
transcript.pyannote[3158].end 20935.61159375
transcript.pyannote[3159].speaker SPEAKER_29
transcript.pyannote[3159].start 20924.98034375
transcript.pyannote[3159].end 20926.07721875
transcript.pyannote[3160].speaker SPEAKER_22
transcript.pyannote[3160].start 20936.05034375
transcript.pyannote[3160].end 20936.52284375
transcript.pyannote[3161].speaker SPEAKER_22
transcript.pyannote[3161].start 20936.79284375
transcript.pyannote[3161].end 20961.49784375
transcript.pyannote[3162].speaker SPEAKER_22
transcript.pyannote[3162].start 20961.73409375
transcript.pyannote[3162].end 21013.79346875
transcript.pyannote[3163].speaker SPEAKER_05
transcript.pyannote[3163].start 21014.77221875
transcript.pyannote[3163].end 21022.56846875
transcript.pyannote[3164].speaker SPEAKER_05
transcript.pyannote[3164].start 21022.78784375
transcript.pyannote[3164].end 21027.66471875
transcript.pyannote[3165].speaker SPEAKER_05
transcript.pyannote[3165].start 21027.90096875
transcript.pyannote[3165].end 21030.71909375
transcript.pyannote[3166].speaker SPEAKER_05
transcript.pyannote[3166].start 21031.03971875
transcript.pyannote[3166].end 21049.58534375
transcript.pyannote[3167].speaker SPEAKER_05
transcript.pyannote[3167].start 21049.88909375
transcript.pyannote[3167].end 21052.82534375
transcript.pyannote[3168].speaker SPEAKER_05
transcript.pyannote[3168].start 21053.16284375
transcript.pyannote[3168].end 21058.39409375
transcript.pyannote[3169].speaker SPEAKER_05
transcript.pyannote[3169].start 21058.79909375
transcript.pyannote[3169].end 21062.44409375
transcript.pyannote[3170].speaker SPEAKER_05
transcript.pyannote[3170].start 21062.86596875
transcript.pyannote[3170].end 21063.94596875
transcript.pyannote[3171].speaker SPEAKER_22
transcript.pyannote[3171].start 21064.26659375
transcript.pyannote[3171].end 21078.57659375
transcript.pyannote[3172].speaker SPEAKER_08
transcript.pyannote[3172].start 21078.57659375
transcript.pyannote[3172].end 21078.59346875
transcript.pyannote[3173].speaker SPEAKER_05
transcript.pyannote[3173].start 21078.59346875
transcript.pyannote[3173].end 21083.16659375
transcript.pyannote[3174].speaker SPEAKER_05
transcript.pyannote[3174].start 21083.26784375
transcript.pyannote[3174].end 21085.59659375
transcript.pyannote[3175].speaker SPEAKER_05
transcript.pyannote[3175].start 21086.06909375
transcript.pyannote[3175].end 21086.84534375
transcript.pyannote[3176].speaker SPEAKER_05
transcript.pyannote[3176].start 21087.21659375
transcript.pyannote[3176].end 21089.66346875
transcript.pyannote[3177].speaker SPEAKER_22
transcript.pyannote[3177].start 21089.56221875
transcript.pyannote[3177].end 21093.19034375
transcript.pyannote[3178].speaker SPEAKER_05
transcript.pyannote[3178].start 21092.58284375
transcript.pyannote[3178].end 21093.30846875
transcript.pyannote[3179].speaker SPEAKER_05
transcript.pyannote[3179].start 21093.57846875
transcript.pyannote[3179].end 21094.47284375
transcript.pyannote[3180].speaker SPEAKER_05
transcript.pyannote[3180].start 21094.86096875
transcript.pyannote[3180].end 21105.98159375
transcript.pyannote[3181].speaker SPEAKER_22
transcript.pyannote[3181].start 21104.27721875
transcript.pyannote[3181].end 21112.68096875
transcript.pyannote[3182].speaker SPEAKER_08
transcript.pyannote[3182].start 21112.57971875
transcript.pyannote[3182].end 21112.91721875
transcript.pyannote[3183].speaker SPEAKER_22
transcript.pyannote[3183].start 21112.76534375
transcript.pyannote[3183].end 21112.79909375
transcript.pyannote[3184].speaker SPEAKER_22
transcript.pyannote[3184].start 21112.83284375
transcript.pyannote[3184].end 21123.80159375
transcript.pyannote[3185].speaker SPEAKER_05
transcript.pyannote[3185].start 21123.91971875
transcript.pyannote[3185].end 21137.16659375
transcript.pyannote[3186].speaker SPEAKER_22
transcript.pyannote[3186].start 21137.16659375
transcript.pyannote[3186].end 21140.69346875
transcript.pyannote[3187].speaker SPEAKER_05
transcript.pyannote[3187].start 21140.01846875
transcript.pyannote[3187].end 21141.08159375
transcript.pyannote[3188].speaker SPEAKER_22
transcript.pyannote[3188].start 21141.08159375
transcript.pyannote[3188].end 21141.09846875
transcript.pyannote[3189].speaker SPEAKER_05
transcript.pyannote[3189].start 21141.09846875
transcript.pyannote[3189].end 21141.46971875
transcript.pyannote[3190].speaker SPEAKER_22
transcript.pyannote[3190].start 21141.46971875
transcript.pyannote[3190].end 21141.90846875
transcript.pyannote[3191].speaker SPEAKER_22
transcript.pyannote[3191].start 21142.16159375
transcript.pyannote[3191].end 21142.81971875
transcript.pyannote[3192].speaker SPEAKER_26
transcript.pyannote[3192].start 21144.13596875
transcript.pyannote[3192].end 21144.47346875
transcript.pyannote[3193].speaker SPEAKER_26
transcript.pyannote[3193].start 21145.62096875
transcript.pyannote[3193].end 21147.35909375
transcript.pyannote[3194].speaker SPEAKER_26
transcript.pyannote[3194].start 21148.08471875
transcript.pyannote[3194].end 21151.32471875
transcript.pyannote[3195].speaker SPEAKER_26
transcript.pyannote[3195].start 21151.52721875
transcript.pyannote[3195].end 21153.14721875
transcript.pyannote[3196].speaker SPEAKER_26
transcript.pyannote[3196].start 21153.48471875
transcript.pyannote[3196].end 21156.33659375
transcript.pyannote[3197].speaker SPEAKER_04
transcript.pyannote[3197].start 21166.22534375
transcript.pyannote[3197].end 21167.38971875
transcript.pyannote[3198].speaker SPEAKER_04
transcript.pyannote[3198].start 21167.91284375
transcript.pyannote[3198].end 21169.93784375
transcript.pyannote[3199].speaker SPEAKER_04
transcript.pyannote[3199].start 21169.97159375
transcript.pyannote[3199].end 21170.73096875
transcript.pyannote[3200].speaker SPEAKER_04
transcript.pyannote[3200].start 21178.10534375
transcript.pyannote[3200].end 21178.15596875
transcript.pyannote[3201].speaker SPEAKER_04
transcript.pyannote[3201].start 21178.30784375
transcript.pyannote[3201].end 21180.28221875
transcript.pyannote[3202].speaker SPEAKER_04
transcript.pyannote[3202].start 21180.61971875
transcript.pyannote[3202].end 21186.99846875
transcript.pyannote[3203].speaker SPEAKER_04
transcript.pyannote[3203].start 21187.31909375
transcript.pyannote[3203].end 21193.96784375
transcript.pyannote[3204].speaker SPEAKER_04
transcript.pyannote[3204].start 21194.22096875
transcript.pyannote[3204].end 21202.57409375
transcript.pyannote[3205].speaker SPEAKER_27
transcript.pyannote[3205].start 21202.99596875
transcript.pyannote[3205].end 21203.19846875
transcript.pyannote[3206].speaker SPEAKER_04
transcript.pyannote[3206].start 21203.19846875
transcript.pyannote[3206].end 21206.06721875
transcript.pyannote[3207].speaker SPEAKER_04
transcript.pyannote[3207].start 21206.47221875
transcript.pyannote[3207].end 21209.57721875
transcript.pyannote[3208].speaker SPEAKER_04
transcript.pyannote[3208].start 21209.64471875
transcript.pyannote[3208].end 21211.70346875
transcript.pyannote[3209].speaker SPEAKER_04
transcript.pyannote[3209].start 21212.05784375
transcript.pyannote[3209].end 21215.43284375
transcript.pyannote[3210].speaker SPEAKER_04
transcript.pyannote[3210].start 21215.80409375
transcript.pyannote[3210].end 21222.79034375
transcript.pyannote[3211].speaker SPEAKER_04
transcript.pyannote[3211].start 21223.11096875
transcript.pyannote[3211].end 21226.33409375
transcript.pyannote[3212].speaker SPEAKER_04
transcript.pyannote[3212].start 21226.50284375
transcript.pyannote[3212].end 21231.05909375
transcript.pyannote[3213].speaker SPEAKER_04
transcript.pyannote[3213].start 21231.44721875
transcript.pyannote[3213].end 21232.00409375
transcript.pyannote[3214].speaker SPEAKER_04
transcript.pyannote[3214].start 21232.29096875
transcript.pyannote[3214].end 21233.55659375
transcript.pyannote[3215].speaker SPEAKER_04
transcript.pyannote[3215].start 21234.78846875
transcript.pyannote[3215].end 21237.72471875
transcript.pyannote[3216].speaker SPEAKER_04
transcript.pyannote[3216].start 21238.28159375
transcript.pyannote[3216].end 21238.51784375
transcript.pyannote[3217].speaker SPEAKER_04
transcript.pyannote[3217].start 21238.95659375
transcript.pyannote[3217].end 21263.45909375
transcript.pyannote[3218].speaker SPEAKER_04
transcript.pyannote[3218].start 21263.94846875
transcript.pyannote[3218].end 21267.42471875
transcript.pyannote[3219].speaker SPEAKER_04
transcript.pyannote[3219].start 21268.28534375
transcript.pyannote[3219].end 21272.14971875
transcript.pyannote[3220].speaker SPEAKER_04
transcript.pyannote[3220].start 21272.40284375
transcript.pyannote[3220].end 21277.83659375
transcript.pyannote[3221].speaker SPEAKER_04
transcript.pyannote[3221].start 21278.10659375
transcript.pyannote[3221].end 21281.80221875
transcript.pyannote[3222].speaker SPEAKER_04
transcript.pyannote[3222].start 21282.15659375
transcript.pyannote[3222].end 21292.58534375
transcript.pyannote[3223].speaker SPEAKER_04
transcript.pyannote[3223].start 21292.95659375
transcript.pyannote[3223].end 21295.23471875
transcript.pyannote[3224].speaker SPEAKER_04
transcript.pyannote[3224].start 21295.50471875
transcript.pyannote[3224].end 21315.95721875
transcript.pyannote[3225].speaker SPEAKER_04
transcript.pyannote[3225].start 21316.19346875
transcript.pyannote[3225].end 21324.04034375
transcript.pyannote[3226].speaker SPEAKER_04
transcript.pyannote[3226].start 21324.34409375
transcript.pyannote[3226].end 21329.17034375
transcript.pyannote[3227].speaker SPEAKER_04
transcript.pyannote[3227].start 21329.62596875
transcript.pyannote[3227].end 21339.76784375
transcript.pyannote[3228].speaker SPEAKER_04
transcript.pyannote[3228].start 21340.25721875
transcript.pyannote[3228].end 21342.72096875
transcript.pyannote[3229].speaker SPEAKER_04
transcript.pyannote[3229].start 21342.92346875
transcript.pyannote[3229].end 21343.31159375
transcript.pyannote[3230].speaker SPEAKER_04
transcript.pyannote[3230].start 21343.93596875
transcript.pyannote[3230].end 21348.50909375
transcript.pyannote[3231].speaker SPEAKER_04
transcript.pyannote[3231].start 21348.54284375
transcript.pyannote[3231].end 21356.27159375
transcript.pyannote[3232].speaker SPEAKER_04
transcript.pyannote[3232].start 21356.59221875
transcript.pyannote[3232].end 21361.48596875
transcript.pyannote[3233].speaker SPEAKER_04
transcript.pyannote[3233].start 21361.89096875
transcript.pyannote[3233].end 21364.21971875
transcript.pyannote[3234].speaker SPEAKER_04
transcript.pyannote[3234].start 21364.57409375
transcript.pyannote[3234].end 21365.55284375
transcript.pyannote[3235].speaker SPEAKER_04
transcript.pyannote[3235].start 21365.72159375
transcript.pyannote[3235].end 21368.25284375
transcript.pyannote[3236].speaker SPEAKER_04
transcript.pyannote[3236].start 21368.80971875
transcript.pyannote[3236].end 21371.39159375
transcript.pyannote[3237].speaker SPEAKER_04
transcript.pyannote[3237].start 21372.01596875
transcript.pyannote[3237].end 21373.46721875
transcript.pyannote[3238].speaker SPEAKER_04
transcript.pyannote[3238].start 21374.41221875
transcript.pyannote[3238].end 21375.35721875
transcript.pyannote[3239].speaker SPEAKER_04
transcript.pyannote[3239].start 21375.69471875
transcript.pyannote[3239].end 21381.46596875
transcript.pyannote[3240].speaker SPEAKER_04
transcript.pyannote[3240].start 21381.63471875
transcript.pyannote[3240].end 21387.25409375
transcript.pyannote[3241].speaker SPEAKER_04
transcript.pyannote[3241].start 21387.72659375
transcript.pyannote[3241].end 21401.71596875
transcript.pyannote[3242].speaker SPEAKER_04
transcript.pyannote[3242].start 21402.00284375
transcript.pyannote[3242].end 21404.71971875
transcript.pyannote[3243].speaker SPEAKER_04
transcript.pyannote[3243].start 21404.92221875
transcript.pyannote[3243].end 21406.52534375
transcript.pyannote[3244].speaker SPEAKER_04
transcript.pyannote[3244].start 21406.60971875
transcript.pyannote[3244].end 21408.65159375
transcript.pyannote[3245].speaker SPEAKER_04
transcript.pyannote[3245].start 21408.76971875
transcript.pyannote[3245].end 21417.39284375
transcript.pyannote[3246].speaker SPEAKER_04
transcript.pyannote[3246].start 21417.54471875
transcript.pyannote[3246].end 21419.21534375
transcript.pyannote[3247].speaker SPEAKER_04
transcript.pyannote[3247].start 21419.50221875
transcript.pyannote[3247].end 21420.75096875
transcript.pyannote[3248].speaker SPEAKER_04
transcript.pyannote[3248].start 21421.12221875
transcript.pyannote[3248].end 21426.03284375
transcript.pyannote[3249].speaker SPEAKER_04
transcript.pyannote[3249].start 21426.53909375
transcript.pyannote[3249].end 21442.03034375
transcript.pyannote[3250].speaker SPEAKER_04
transcript.pyannote[3250].start 21442.45221875
transcript.pyannote[3250].end 21450.34971875
transcript.pyannote[3251].speaker SPEAKER_04
transcript.pyannote[3251].start 21450.65346875
transcript.pyannote[3251].end 21461.63909375
transcript.pyannote[3252].speaker SPEAKER_05
transcript.pyannote[3252].start 21462.07784375
transcript.pyannote[3252].end 21462.12846875
transcript.pyannote[3253].speaker SPEAKER_04
transcript.pyannote[3253].start 21462.12846875
transcript.pyannote[3253].end 21462.19596875
transcript.pyannote[3254].speaker SPEAKER_05
transcript.pyannote[3254].start 21462.19596875
transcript.pyannote[3254].end 21462.28034375
transcript.pyannote[3255].speaker SPEAKER_05
transcript.pyannote[3255].start 21462.60096875
transcript.pyannote[3255].end 21474.66659375
transcript.pyannote[3256].speaker SPEAKER_05
transcript.pyannote[3256].start 21475.12221875
transcript.pyannote[3256].end 21476.84346875
transcript.pyannote[3257].speaker SPEAKER_05
transcript.pyannote[3257].start 21476.97846875
transcript.pyannote[3257].end 21499.40534375
transcript.pyannote[3258].speaker SPEAKER_05
transcript.pyannote[3258].start 21499.84409375
transcript.pyannote[3258].end 21508.78784375
transcript.pyannote[3259].speaker SPEAKER_05
transcript.pyannote[3259].start 21509.22659375
transcript.pyannote[3259].end 21514.18784375
transcript.pyannote[3260].speaker SPEAKER_05
transcript.pyannote[3260].start 21514.47471875
transcript.pyannote[3260].end 21528.02534375
transcript.pyannote[3261].speaker SPEAKER_05
transcript.pyannote[3261].start 21528.56534375
transcript.pyannote[3261].end 21564.55971875
transcript.pyannote[3262].speaker SPEAKER_05
transcript.pyannote[3262].start 21564.82971875
transcript.pyannote[3262].end 21576.42284375
transcript.pyannote[3263].speaker SPEAKER_05
transcript.pyannote[3263].start 21576.74346875
transcript.pyannote[3263].end 21580.81034375
transcript.pyannote[3264].speaker SPEAKER_05
transcript.pyannote[3264].start 21581.09721875
transcript.pyannote[3264].end 21616.78784375
transcript.pyannote[3265].speaker SPEAKER_05
transcript.pyannote[3265].start 21616.99034375
transcript.pyannote[3265].end 21621.58034375
transcript.pyannote[3266].speaker SPEAKER_05
transcript.pyannote[3266].start 21621.59721875
transcript.pyannote[3266].end 21622.82909375
transcript.pyannote[3267].speaker SPEAKER_05
transcript.pyannote[3267].start 21623.18346875
transcript.pyannote[3267].end 21626.65971875
transcript.pyannote[3268].speaker SPEAKER_05
transcript.pyannote[3268].start 21627.13221875
transcript.pyannote[3268].end 21630.67596875
transcript.pyannote[3269].speaker SPEAKER_05
transcript.pyannote[3269].start 21631.03034375
transcript.pyannote[3269].end 21632.34659375
transcript.pyannote[3270].speaker SPEAKER_04
transcript.pyannote[3270].start 21632.70096875
transcript.pyannote[3270].end 21648.20909375
transcript.pyannote[3271].speaker SPEAKER_05
transcript.pyannote[3271].start 21633.40971875
transcript.pyannote[3271].end 21633.76409375
transcript.pyannote[3272].speaker SPEAKER_05
transcript.pyannote[3272].start 21648.20909375
transcript.pyannote[3272].end 21648.42846875
transcript.pyannote[3273].speaker SPEAKER_04
transcript.pyannote[3273].start 21648.42846875
transcript.pyannote[3273].end 21648.47909375
transcript.pyannote[3274].speaker SPEAKER_05
transcript.pyannote[3274].start 21648.47909375
transcript.pyannote[3274].end 21648.51284375
transcript.pyannote[3275].speaker SPEAKER_04
transcript.pyannote[3275].start 21648.51284375
transcript.pyannote[3275].end 21648.66471875
transcript.pyannote[3276].speaker SPEAKER_05
transcript.pyannote[3276].start 21648.96846875
transcript.pyannote[3276].end 21651.88784375
transcript.pyannote[3277].speaker SPEAKER_05
transcript.pyannote[3277].start 21652.02284375
transcript.pyannote[3277].end 21655.31346875
transcript.pyannote[3278].speaker SPEAKER_05
transcript.pyannote[3278].start 21655.85346875
transcript.pyannote[3278].end 21656.34284375
transcript.pyannote[3279].speaker SPEAKER_05
transcript.pyannote[3279].start 21656.74784375
transcript.pyannote[3279].end 21665.01659375
transcript.pyannote[3280].speaker SPEAKER_05
transcript.pyannote[3280].start 21665.11784375
transcript.pyannote[3280].end 21666.33284375
transcript.pyannote[3281].speaker SPEAKER_05
transcript.pyannote[3281].start 21666.58596875
transcript.pyannote[3281].end 21670.70346875
transcript.pyannote[3282].speaker SPEAKER_04
transcript.pyannote[3282].start 21670.70346875
transcript.pyannote[3282].end 21674.14596875
transcript.pyannote[3283].speaker SPEAKER_05
transcript.pyannote[3283].start 21671.19284375
transcript.pyannote[3283].end 21671.31096875
transcript.pyannote[3284].speaker SPEAKER_05
transcript.pyannote[3284].start 21671.90159375
transcript.pyannote[3284].end 21672.77909375
transcript.pyannote[3285].speaker SPEAKER_05
transcript.pyannote[3285].start 21673.50471875
transcript.pyannote[3285].end 21673.69034375
transcript.pyannote[3286].speaker SPEAKER_26
transcript.pyannote[3286].start 21678.41534375
transcript.pyannote[3286].end 21686.85284375
transcript.pyannote[3287].speaker SPEAKER_04
transcript.pyannote[3287].start 21698.51346875
transcript.pyannote[3287].end 21701.21346875
transcript.pyannote[3288].speaker SPEAKER_26
transcript.pyannote[3288].start 21710.78159375
transcript.pyannote[3288].end 21713.98784375
transcript.pyannote[3289].speaker SPEAKER_26
transcript.pyannote[3289].start 21714.20721875
transcript.pyannote[3289].end 21718.00409375
transcript.pyannote[3290].speaker SPEAKER_26
transcript.pyannote[3290].start 21718.98284375
transcript.pyannote[3290].end 21721.24409375
transcript.pyannote[3291].speaker SPEAKER_26
transcript.pyannote[3291].start 21722.40846875
transcript.pyannote[3291].end 21723.16784375
transcript.pyannote[3292].speaker SPEAKER_26
transcript.pyannote[3292].start 21723.65721875
transcript.pyannote[3292].end 21725.36159375
transcript.pyannote[3293].speaker SPEAKER_26
transcript.pyannote[3293].start 21727.13346875
transcript.pyannote[3293].end 21728.11221875
transcript.pyannote[3294].speaker SPEAKER_04
transcript.pyannote[3294].start 21729.02346875
transcript.pyannote[3294].end 21731.67284375
transcript.pyannote[3295].speaker SPEAKER_04
transcript.pyannote[3295].start 21732.12846875
transcript.pyannote[3295].end 21733.03971875
transcript.pyannote[3296].speaker SPEAKER_04
transcript.pyannote[3296].start 21733.73159375
transcript.pyannote[3296].end 21733.74846875
transcript.pyannote[3297].speaker SPEAKER_05
transcript.pyannote[3297].start 21733.74846875
transcript.pyannote[3297].end 21733.76534375
transcript.pyannote[3298].speaker SPEAKER_26
transcript.pyannote[3298].start 21733.76534375
transcript.pyannote[3298].end 21734.08596875
transcript.pyannote[3299].speaker SPEAKER_04
transcript.pyannote[3299].start 21734.08596875
transcript.pyannote[3299].end 21734.72721875
transcript.pyannote[3300].speaker SPEAKER_26
transcript.pyannote[3300].start 21734.15346875
transcript.pyannote[3300].end 21734.35596875
transcript.pyannote[3301].speaker SPEAKER_04
transcript.pyannote[3301].start 21734.89596875
transcript.pyannote[3301].end 21734.92971875
transcript.pyannote[3302].speaker SPEAKER_26
transcript.pyannote[3302].start 21734.92971875
transcript.pyannote[3302].end 21735.21659375
transcript.pyannote[3303].speaker SPEAKER_26
transcript.pyannote[3303].start 21736.34721875
transcript.pyannote[3303].end 21739.08096875
transcript.pyannote[3304].speaker SPEAKER_26
transcript.pyannote[3304].start 21740.29596875
transcript.pyannote[3304].end 21745.24034375
transcript.pyannote[3305].speaker SPEAKER_26
transcript.pyannote[3305].start 21745.25721875
transcript.pyannote[3305].end 21747.26534375
transcript.pyannote[3306].speaker SPEAKER_26
transcript.pyannote[3306].start 21747.56909375
transcript.pyannote[3306].end 21753.57659375
transcript.pyannote[3307].speaker SPEAKER_05
transcript.pyannote[3307].start 21753.01971875
transcript.pyannote[3307].end 21753.05346875
transcript.pyannote[3308].speaker SPEAKER_06
transcript.pyannote[3308].start 21753.05346875
transcript.pyannote[3308].end 21754.23471875
transcript.pyannote[3309].speaker SPEAKER_26
transcript.pyannote[3309].start 21753.81284375
transcript.pyannote[3309].end 21769.30409375
transcript.pyannote[3310].speaker SPEAKER_05
transcript.pyannote[3310].start 21754.23471875
transcript.pyannote[3310].end 21754.25159375
transcript.pyannote[3311].speaker SPEAKER_06
transcript.pyannote[3311].start 21757.08659375
transcript.pyannote[3311].end 21757.30596875
transcript.pyannote[3312].speaker SPEAKER_00
transcript.pyannote[3312].start 21763.51596875
transcript.pyannote[3312].end 21763.81971875
transcript.pyannote[3313].speaker SPEAKER_00
transcript.pyannote[3313].start 21765.57471875
transcript.pyannote[3313].end 21766.13159375
transcript.pyannote[3314].speaker SPEAKER_26
transcript.pyannote[3314].start 21769.69221875
transcript.pyannote[3314].end 21772.20659375
transcript.pyannote[3315].speaker SPEAKER_26
transcript.pyannote[3315].start 21772.39221875
transcript.pyannote[3315].end 21776.59409375
transcript.pyannote[3316].speaker SPEAKER_06
transcript.pyannote[3316].start 21776.59409375
transcript.pyannote[3316].end 21776.96534375
transcript.pyannote[3317].speaker SPEAKER_26
transcript.pyannote[3317].start 21776.96534375
transcript.pyannote[3317].end 21789.33471875
transcript.pyannote[3318].speaker SPEAKER_26
transcript.pyannote[3318].start 21789.73971875
transcript.pyannote[3318].end 21791.34284375
transcript.pyannote[3319].speaker SPEAKER_26
transcript.pyannote[3319].start 21791.68034375
transcript.pyannote[3319].end 21804.70784375
transcript.pyannote[3320].speaker SPEAKER_05
transcript.pyannote[3320].start 21806.37846875
transcript.pyannote[3320].end 21813.83721875
transcript.pyannote[3321].speaker SPEAKER_05
transcript.pyannote[3321].start 21814.10721875
transcript.pyannote[3321].end 21815.60909375
transcript.pyannote[3322].speaker SPEAKER_05
transcript.pyannote[3322].start 21815.82846875
transcript.pyannote[3322].end 21817.26284375
transcript.pyannote[3323].speaker SPEAKER_05
transcript.pyannote[3323].start 21817.61721875
transcript.pyannote[3323].end 21818.89971875
transcript.pyannote[3324].speaker SPEAKER_05
transcript.pyannote[3324].start 21819.38909375
transcript.pyannote[3324].end 21819.86159375
transcript.pyannote[3325].speaker SPEAKER_26
transcript.pyannote[3325].start 21819.42284375
transcript.pyannote[3325].end 21821.00909375
transcript.pyannote[3326].speaker SPEAKER_05
transcript.pyannote[3326].start 21820.35096875
transcript.pyannote[3326].end 21827.70846875
transcript.pyannote[3327].speaker SPEAKER_26
transcript.pyannote[3327].start 21827.70846875
transcript.pyannote[3327].end 21829.85159375
transcript.pyannote[3328].speaker SPEAKER_05
transcript.pyannote[3328].start 21827.75909375
transcript.pyannote[3328].end 21827.79284375
transcript.pyannote[3329].speaker SPEAKER_27
transcript.pyannote[3329].start 21827.79284375
transcript.pyannote[3329].end 21830.17221875
transcript.pyannote[3330].speaker SPEAKER_26
transcript.pyannote[3330].start 21830.17221875
transcript.pyannote[3330].end 21840.02721875
transcript.pyannote[3331].speaker SPEAKER_27
transcript.pyannote[3331].start 21832.34909375
transcript.pyannote[3331].end 21832.36596875
transcript.pyannote[3332].speaker SPEAKER_26
transcript.pyannote[3332].start 21840.44909375
transcript.pyannote[3332].end 21845.51159375
transcript.pyannote[3333].speaker SPEAKER_27
transcript.pyannote[3333].start 21845.51159375
transcript.pyannote[3333].end 21845.95034375
transcript.pyannote[3334].speaker SPEAKER_26
transcript.pyannote[3334].start 21845.74784375
transcript.pyannote[3334].end 21848.17784375
transcript.pyannote[3335].speaker SPEAKER_26
transcript.pyannote[3335].start 21848.81909375
transcript.pyannote[3335].end 21853.29096875
transcript.pyannote[3336].speaker SPEAKER_05
transcript.pyannote[3336].start 21853.29096875
transcript.pyannote[3336].end 21853.56096875
transcript.pyannote[3337].speaker SPEAKER_26
transcript.pyannote[3337].start 21853.86471875
transcript.pyannote[3337].end 21861.27284375
transcript.pyannote[3338].speaker SPEAKER_26
transcript.pyannote[3338].start 21861.69471875
transcript.pyannote[3338].end 21869.18721875
transcript.pyannote[3339].speaker SPEAKER_26
transcript.pyannote[3339].start 21869.69346875
transcript.pyannote[3339].end 21873.18659375
transcript.pyannote[3340].speaker SPEAKER_26
transcript.pyannote[3340].start 21873.49034375
transcript.pyannote[3340].end 21876.56159375
transcript.pyannote[3341].speaker SPEAKER_05
transcript.pyannote[3341].start 21877.54034375
transcript.pyannote[3341].end 21882.04596875
transcript.pyannote[3342].speaker SPEAKER_05
transcript.pyannote[3342].start 21882.63659375
transcript.pyannote[3342].end 21887.29409375
transcript.pyannote[3343].speaker SPEAKER_05
transcript.pyannote[3343].start 21888.15471875
transcript.pyannote[3343].end 21891.10784375
transcript.pyannote[3344].speaker SPEAKER_05
transcript.pyannote[3344].start 21891.42846875
transcript.pyannote[3344].end 21895.74846875
transcript.pyannote[3345].speaker SPEAKER_05
transcript.pyannote[3345].start 21896.47409375
transcript.pyannote[3345].end 21899.39346875
transcript.pyannote[3346].speaker SPEAKER_05
transcript.pyannote[3346].start 21901.45221875
transcript.pyannote[3346].end 21901.97534375
transcript.pyannote[3347].speaker SPEAKER_26
transcript.pyannote[3347].start 21901.97534375
transcript.pyannote[3347].end 21904.79346875
transcript.pyannote[3348].speaker SPEAKER_26
transcript.pyannote[3348].start 21905.13096875
transcript.pyannote[3348].end 21906.05909375
transcript.pyannote[3349].speaker SPEAKER_26
transcript.pyannote[3349].start 21906.64971875
transcript.pyannote[3349].end 21910.04159375
transcript.pyannote[3350].speaker SPEAKER_26
transcript.pyannote[3350].start 21910.48034375
transcript.pyannote[3350].end 21911.79659375
transcript.pyannote[3351].speaker SPEAKER_26
transcript.pyannote[3351].start 21912.38721875
transcript.pyannote[3351].end 21914.36159375
transcript.pyannote[3352].speaker SPEAKER_05
transcript.pyannote[3352].start 21914.36159375
transcript.pyannote[3352].end 21914.44596875
transcript.pyannote[3353].speaker SPEAKER_05
transcript.pyannote[3353].start 21915.08721875
transcript.pyannote[3353].end 21919.54221875
transcript.pyannote[3354].speaker SPEAKER_05
transcript.pyannote[3354].start 21919.67721875
transcript.pyannote[3354].end 21921.83721875
transcript.pyannote[3355].speaker SPEAKER_05
transcript.pyannote[3355].start 21922.39409375
transcript.pyannote[3355].end 21930.94971875
transcript.pyannote[3356].speaker SPEAKER_05
transcript.pyannote[3356].start 21931.40534375
transcript.pyannote[3356].end 21932.19846875
transcript.pyannote[3357].speaker SPEAKER_05
transcript.pyannote[3357].start 21932.33346875
transcript.pyannote[3357].end 21940.02846875
transcript.pyannote[3358].speaker SPEAKER_00
transcript.pyannote[3358].start 21937.48034375
transcript.pyannote[3358].end 21937.53096875
transcript.pyannote[3359].speaker SPEAKER_26
transcript.pyannote[3359].start 21937.53096875
transcript.pyannote[3359].end 21937.96971875
transcript.pyannote[3360].speaker SPEAKER_00
transcript.pyannote[3360].start 21937.96971875
transcript.pyannote[3360].end 21938.05409375
transcript.pyannote[3361].speaker SPEAKER_00
transcript.pyannote[3361].start 21938.96534375
transcript.pyannote[3361].end 21939.03284375
transcript.pyannote[3362].speaker SPEAKER_26
transcript.pyannote[3362].start 21939.03284375
transcript.pyannote[3362].end 21939.74159375
transcript.pyannote[3363].speaker SPEAKER_05
transcript.pyannote[3363].start 21940.82159375
transcript.pyannote[3363].end 21945.52971875
transcript.pyannote[3364].speaker SPEAKER_26
transcript.pyannote[3364].start 21944.04471875
transcript.pyannote[3364].end 21944.50034375
transcript.pyannote[3365].speaker SPEAKER_26
transcript.pyannote[3365].start 21945.52971875
transcript.pyannote[3365].end 21945.61409375
transcript.pyannote[3366].speaker SPEAKER_26
transcript.pyannote[3366].start 21945.71534375
transcript.pyannote[3366].end 21947.23409375
transcript.pyannote[3367].speaker SPEAKER_26
transcript.pyannote[3367].start 21947.65596875
transcript.pyannote[3367].end 21950.22096875
transcript.pyannote[3368].speaker SPEAKER_26
transcript.pyannote[3368].start 21950.69346875
transcript.pyannote[3368].end 21951.41909375
transcript.pyannote[3369].speaker SPEAKER_26
transcript.pyannote[3369].start 21952.12784375
transcript.pyannote[3369].end 21957.66284375
transcript.pyannote[3370].speaker SPEAKER_26
transcript.pyannote[3370].start 21958.64159375
transcript.pyannote[3370].end 21961.61159375
transcript.pyannote[3371].speaker SPEAKER_26
transcript.pyannote[3371].start 21961.88159375
transcript.pyannote[3371].end 21966.26909375
transcript.pyannote[3372].speaker SPEAKER_26
transcript.pyannote[3372].start 21966.57284375
transcript.pyannote[3372].end 21971.87159375
transcript.pyannote[3373].speaker SPEAKER_26
transcript.pyannote[3373].start 21972.25971875
transcript.pyannote[3373].end 21973.77846875
transcript.pyannote[3374].speaker SPEAKER_26
transcript.pyannote[3374].start 21974.26784375
transcript.pyannote[3374].end 21976.76534375
transcript.pyannote[3375].speaker SPEAKER_26
transcript.pyannote[3375].start 21976.98471875
transcript.pyannote[3375].end 21980.89971875
transcript.pyannote[3376].speaker SPEAKER_05
transcript.pyannote[3376].start 21981.37221875
transcript.pyannote[3376].end 22001.99346875
transcript.pyannote[3377].speaker SPEAKER_05
transcript.pyannote[3377].start 22002.16221875
transcript.pyannote[3377].end 22007.12346875
transcript.pyannote[3378].speaker SPEAKER_05
transcript.pyannote[3378].start 22007.91659375
transcript.pyannote[3378].end 22016.03346875
transcript.pyannote[3379].speaker SPEAKER_29
transcript.pyannote[3379].start 22008.01784375
transcript.pyannote[3379].end 22008.22034375
transcript.pyannote[3380].speaker SPEAKER_05
transcript.pyannote[3380].start 22016.50596875
transcript.pyannote[3380].end 22020.80909375
transcript.pyannote[3381].speaker SPEAKER_05
transcript.pyannote[3381].start 22021.24784375
transcript.pyannote[3381].end 22026.64784375
transcript.pyannote[3382].speaker SPEAKER_05
transcript.pyannote[3382].start 22026.98534375
transcript.pyannote[3382].end 22031.94659375
transcript.pyannote[3383].speaker SPEAKER_05
transcript.pyannote[3383].start 22032.31784375
transcript.pyannote[3383].end 22036.84034375
transcript.pyannote[3384].speaker SPEAKER_05
transcript.pyannote[3384].start 22037.31284375
transcript.pyannote[3384].end 22039.65846875
transcript.pyannote[3385].speaker SPEAKER_26
transcript.pyannote[3385].start 22040.33346875
transcript.pyannote[3385].end 22040.36721875
transcript.pyannote[3386].speaker SPEAKER_26
transcript.pyannote[3386].start 22041.00846875
transcript.pyannote[3386].end 22043.60721875
transcript.pyannote[3387].speaker SPEAKER_26
transcript.pyannote[3387].start 22044.36659375
transcript.pyannote[3387].end 22045.07534375
transcript.pyannote[3388].speaker SPEAKER_26
transcript.pyannote[3388].start 22045.34534375
transcript.pyannote[3388].end 22047.75846875
transcript.pyannote[3389].speaker SPEAKER_26
transcript.pyannote[3389].start 22048.02846875
transcript.pyannote[3389].end 22049.46284375
transcript.pyannote[3390].speaker SPEAKER_26
transcript.pyannote[3390].start 22050.17159375
transcript.pyannote[3390].end 22053.51284375
transcript.pyannote[3391].speaker SPEAKER_26
transcript.pyannote[3391].start 22053.88409375
transcript.pyannote[3391].end 22056.07784375
transcript.pyannote[3392].speaker SPEAKER_26
transcript.pyannote[3392].start 22056.56721875
transcript.pyannote[3392].end 22064.16096875
transcript.pyannote[3393].speaker SPEAKER_26
transcript.pyannote[3393].start 22065.19034375
transcript.pyannote[3393].end 22066.06784375
transcript.pyannote[3394].speaker SPEAKER_26
transcript.pyannote[3394].start 22066.45596875
transcript.pyannote[3394].end 22069.12221875
transcript.pyannote[3395].speaker SPEAKER_26
transcript.pyannote[3395].start 22069.86471875
transcript.pyannote[3395].end 22072.59846875
transcript.pyannote[3396].speaker SPEAKER_26
transcript.pyannote[3396].start 22073.83034375
transcript.pyannote[3396].end 22076.93534375
transcript.pyannote[3397].speaker SPEAKER_26
transcript.pyannote[3397].start 22077.57659375
transcript.pyannote[3397].end 22079.78721875
transcript.pyannote[3398].speaker SPEAKER_26
transcript.pyannote[3398].start 22080.17534375
transcript.pyannote[3398].end 22082.43659375
transcript.pyannote[3399].speaker SPEAKER_26
transcript.pyannote[3399].start 22082.57159375
transcript.pyannote[3399].end 22085.52471875
transcript.pyannote[3400].speaker SPEAKER_26
transcript.pyannote[3400].start 22086.45284375
transcript.pyannote[3400].end 22096.79721875
transcript.pyannote[3401].speaker SPEAKER_26
transcript.pyannote[3401].start 22097.35409375
transcript.pyannote[3401].end 22098.92346875
transcript.pyannote[3402].speaker SPEAKER_26
transcript.pyannote[3402].start 22099.15971875
transcript.pyannote[3402].end 22103.98596875
transcript.pyannote[3403].speaker SPEAKER_26
transcript.pyannote[3403].start 22105.15034375
transcript.pyannote[3403].end 22112.25471875
transcript.pyannote[3404].speaker SPEAKER_26
transcript.pyannote[3404].start 22112.59221875
transcript.pyannote[3404].end 22114.48221875
transcript.pyannote[3405].speaker SPEAKER_26
transcript.pyannote[3405].start 22114.66784375
transcript.pyannote[3405].end 22116.59159375
transcript.pyannote[3406].speaker SPEAKER_26
transcript.pyannote[3406].start 22116.64221875
transcript.pyannote[3406].end 22119.91596875
transcript.pyannote[3407].speaker SPEAKER_26
transcript.pyannote[3407].start 22120.28721875
transcript.pyannote[3407].end 22122.26159375
transcript.pyannote[3408].speaker SPEAKER_26
transcript.pyannote[3408].start 22123.12221875
transcript.pyannote[3408].end 22132.89284375
transcript.pyannote[3409].speaker SPEAKER_26
transcript.pyannote[3409].start 22133.36534375
transcript.pyannote[3409].end 22134.83346875
transcript.pyannote[3410].speaker SPEAKER_26
transcript.pyannote[3410].start 22135.25534375
transcript.pyannote[3410].end 22137.16221875
transcript.pyannote[3411].speaker SPEAKER_26
transcript.pyannote[3411].start 22137.63471875
transcript.pyannote[3411].end 22139.13659375
transcript.pyannote[3412].speaker SPEAKER_26
transcript.pyannote[3412].start 22139.42346875
transcript.pyannote[3412].end 22142.10659375
transcript.pyannote[3413].speaker SPEAKER_26
transcript.pyannote[3413].start 22142.56221875
transcript.pyannote[3413].end 22145.97096875
transcript.pyannote[3414].speaker SPEAKER_26
transcript.pyannote[3414].start 22146.71346875
transcript.pyannote[3414].end 22159.77471875
transcript.pyannote[3415].speaker SPEAKER_29
transcript.pyannote[3415].start 22162.33971875
transcript.pyannote[3415].end 22199.95409375
transcript.pyannote[3416].speaker SPEAKER_29
transcript.pyannote[3416].start 22200.34221875
transcript.pyannote[3416].end 22201.18596875
transcript.pyannote[3417].speaker SPEAKER_29
transcript.pyannote[3417].start 22201.64159375
transcript.pyannote[3417].end 22210.78784375
transcript.pyannote[3418].speaker SPEAKER_26
transcript.pyannote[3418].start 22211.26034375
transcript.pyannote[3418].end 22216.03596875
transcript.pyannote[3419].speaker SPEAKER_26
transcript.pyannote[3419].start 22216.69409375
transcript.pyannote[3419].end 22219.57971875
transcript.pyannote[3420].speaker SPEAKER_26
transcript.pyannote[3420].start 22219.63034375
transcript.pyannote[3420].end 22220.74409375
transcript.pyannote[3421].speaker SPEAKER_26
transcript.pyannote[3421].start 22221.48659375
transcript.pyannote[3421].end 22222.98846875
transcript.pyannote[3422].speaker SPEAKER_26
transcript.pyannote[3422].start 22224.22034375
transcript.pyannote[3422].end 22225.35096875
transcript.pyannote[3423].speaker SPEAKER_26
transcript.pyannote[3423].start 22226.05971875
transcript.pyannote[3423].end 22228.84409375
transcript.pyannote[3424].speaker SPEAKER_26
transcript.pyannote[3424].start 22229.35034375
transcript.pyannote[3424].end 22229.77221875
transcript.pyannote[3425].speaker SPEAKER_26
transcript.pyannote[3425].start 22230.48096875
transcript.pyannote[3425].end 22234.54784375
transcript.pyannote[3426].speaker SPEAKER_26
transcript.pyannote[3426].start 22234.88534375
transcript.pyannote[3426].end 22244.62221875
transcript.pyannote[3427].speaker SPEAKER_26
transcript.pyannote[3427].start 22245.06096875
transcript.pyannote[3427].end 22248.68909375
transcript.pyannote[3428].speaker SPEAKER_26
transcript.pyannote[3428].start 22249.41471875
transcript.pyannote[3428].end 22253.24534375
transcript.pyannote[3429].speaker SPEAKER_26
transcript.pyannote[3429].start 22253.51534375
transcript.pyannote[3429].end 22256.31659375
transcript.pyannote[3430].speaker SPEAKER_26
transcript.pyannote[3430].start 22256.55284375
transcript.pyannote[3430].end 22260.94034375
transcript.pyannote[3431].speaker SPEAKER_26
transcript.pyannote[3431].start 22261.14284375
transcript.pyannote[3431].end 22262.10471875
transcript.pyannote[3432].speaker SPEAKER_26
transcript.pyannote[3432].start 22262.25659375
transcript.pyannote[3432].end 22262.72909375
transcript.pyannote[3433].speaker SPEAKER_26
transcript.pyannote[3433].start 22262.96534375
transcript.pyannote[3433].end 22265.15909375
transcript.pyannote[3434].speaker SPEAKER_04
transcript.pyannote[3434].start 22265.15909375
transcript.pyannote[3434].end 22265.19284375
transcript.pyannote[3435].speaker SPEAKER_04
transcript.pyannote[3435].start 22267.55534375
transcript.pyannote[3435].end 22271.57159375
transcript.pyannote[3436].speaker SPEAKER_28
transcript.pyannote[3436].start 22274.65971875
transcript.pyannote[3436].end 22276.07721875
transcript.pyannote[3437].speaker SPEAKER_26
transcript.pyannote[3437].start 22279.94159375
transcript.pyannote[3437].end 22282.82721875
transcript.pyannote[3438].speaker SPEAKER_18
transcript.pyannote[3438].start 22292.15909375
transcript.pyannote[3438].end 22293.66096875
transcript.pyannote[3439].speaker SPEAKER_18
transcript.pyannote[3439].start 22294.04909375
transcript.pyannote[3439].end 22295.11221875
transcript.pyannote[3440].speaker SPEAKER_26
transcript.pyannote[3440].start 22295.65221875
transcript.pyannote[3440].end 22296.46221875
transcript.pyannote[3441].speaker SPEAKER_06
transcript.pyannote[3441].start 22303.66784375
transcript.pyannote[3441].end 22303.97159375
transcript.pyannote[3442].speaker SPEAKER_22
transcript.pyannote[3442].start 22303.97159375
transcript.pyannote[3442].end 22304.22471875
transcript.pyannote[3443].speaker SPEAKER_06
transcript.pyannote[3443].start 22304.22471875
transcript.pyannote[3443].end 22304.25846875
transcript.pyannote[3444].speaker SPEAKER_22
transcript.pyannote[3444].start 22304.25846875
transcript.pyannote[3444].end 22304.34284375
transcript.pyannote[3445].speaker SPEAKER_22
transcript.pyannote[3445].start 22304.73096875
transcript.pyannote[3445].end 22306.84034375
transcript.pyannote[3446].speaker SPEAKER_22
transcript.pyannote[3446].start 22307.12721875
transcript.pyannote[3446].end 22313.43846875
transcript.pyannote[3447].speaker SPEAKER_18
transcript.pyannote[3447].start 22313.43846875
transcript.pyannote[3447].end 22313.45534375
transcript.pyannote[3448].speaker SPEAKER_22
transcript.pyannote[3448].start 22313.91096875
transcript.pyannote[3448].end 22313.92784375
transcript.pyannote[3449].speaker SPEAKER_18
transcript.pyannote[3449].start 22313.92784375
transcript.pyannote[3449].end 22313.94471875
transcript.pyannote[3450].speaker SPEAKER_22
transcript.pyannote[3450].start 22313.94471875
transcript.pyannote[3450].end 22314.02909375
transcript.pyannote[3451].speaker SPEAKER_18
transcript.pyannote[3451].start 22314.02909375
transcript.pyannote[3451].end 22314.99096875
transcript.pyannote[3452].speaker SPEAKER_18
transcript.pyannote[3452].start 22315.37909375
transcript.pyannote[3452].end 22316.00346875
transcript.pyannote[3453].speaker SPEAKER_18
transcript.pyannote[3453].start 22316.77971875
transcript.pyannote[3453].end 22317.97784375
transcript.pyannote[3454].speaker SPEAKER_22
transcript.pyannote[3454].start 22317.97784375
transcript.pyannote[3454].end 22319.17596875
transcript.pyannote[3455].speaker SPEAKER_18
transcript.pyannote[3455].start 22319.59784375
transcript.pyannote[3455].end 22319.61471875
transcript.pyannote[3456].speaker SPEAKER_22
transcript.pyannote[3456].start 22319.61471875
transcript.pyannote[3456].end 22320.66096875
transcript.pyannote[3457].speaker SPEAKER_22
transcript.pyannote[3457].start 22320.79596875
transcript.pyannote[3457].end 22346.56409375
transcript.pyannote[3458].speaker SPEAKER_22
transcript.pyannote[3458].start 22346.91846875
transcript.pyannote[3458].end 22355.89596875
transcript.pyannote[3459].speaker SPEAKER_21
transcript.pyannote[3459].start 22355.89596875
transcript.pyannote[3459].end 22355.91284375
transcript.pyannote[3460].speaker SPEAKER_05
transcript.pyannote[3460].start 22356.41909375
transcript.pyannote[3460].end 22361.71784375
transcript.pyannote[3461].speaker SPEAKER_05
transcript.pyannote[3461].start 22362.00471875
transcript.pyannote[3461].end 22370.25659375
transcript.pyannote[3462].speaker SPEAKER_08
transcript.pyannote[3462].start 22370.13846875
transcript.pyannote[3462].end 22370.64471875
transcript.pyannote[3463].speaker SPEAKER_05
transcript.pyannote[3463].start 22370.49284375
transcript.pyannote[3463].end 22382.71034375
transcript.pyannote[3464].speaker SPEAKER_05
transcript.pyannote[3464].start 22383.53721875
transcript.pyannote[3464].end 22392.63284375
transcript.pyannote[3465].speaker SPEAKER_05
transcript.pyannote[3465].start 22392.80159375
transcript.pyannote[3465].end 22396.64909375
transcript.pyannote[3466].speaker SPEAKER_05
transcript.pyannote[3466].start 22396.78409375
transcript.pyannote[3466].end 22400.74971875
transcript.pyannote[3467].speaker SPEAKER_27
transcript.pyannote[3467].start 22400.83409375
transcript.pyannote[3467].end 22401.59346875
transcript.pyannote[3468].speaker SPEAKER_05
transcript.pyannote[3468].start 22401.25596875
transcript.pyannote[3468].end 22410.92534375
transcript.pyannote[3469].speaker SPEAKER_05
transcript.pyannote[3469].start 22411.21221875
transcript.pyannote[3469].end 22411.88721875
transcript.pyannote[3470].speaker SPEAKER_18
transcript.pyannote[3470].start 22411.22909375
transcript.pyannote[3470].end 22431.74909375
transcript.pyannote[3471].speaker SPEAKER_05
transcript.pyannote[3471].start 22412.84909375
transcript.pyannote[3471].end 22413.28784375
transcript.pyannote[3472].speaker SPEAKER_22
transcript.pyannote[3472].start 22431.74909375
transcript.pyannote[3472].end 22431.78284375
transcript.pyannote[3473].speaker SPEAKER_05
transcript.pyannote[3473].start 22431.96846875
transcript.pyannote[3473].end 22436.49096875
transcript.pyannote[3474].speaker SPEAKER_22
transcript.pyannote[3474].start 22436.25471875
transcript.pyannote[3474].end 22436.27159375
transcript.pyannote[3475].speaker SPEAKER_08
transcript.pyannote[3475].start 22436.27159375
transcript.pyannote[3475].end 22436.65971875
transcript.pyannote[3476].speaker SPEAKER_05
transcript.pyannote[3476].start 22436.65971875
transcript.pyannote[3476].end 22445.09721875
transcript.pyannote[3477].speaker SPEAKER_05
transcript.pyannote[3477].start 22445.24909375
transcript.pyannote[3477].end 22446.66659375
transcript.pyannote[3478].speaker SPEAKER_05
transcript.pyannote[3478].start 22447.05471875
transcript.pyannote[3478].end 22458.02346875
transcript.pyannote[3479].speaker SPEAKER_08
transcript.pyannote[3479].start 22458.00659375
transcript.pyannote[3479].end 22458.42846875
transcript.pyannote[3480].speaker SPEAKER_05
transcript.pyannote[3480].start 22458.29346875
transcript.pyannote[3480].end 22468.33409375
transcript.pyannote[3481].speaker SPEAKER_05
transcript.pyannote[3481].start 22468.36784375
transcript.pyannote[3481].end 22491.38534375
transcript.pyannote[3482].speaker SPEAKER_22
transcript.pyannote[3482].start 22489.34346875
transcript.pyannote[3482].end 22490.44034375
transcript.pyannote[3483].speaker SPEAKER_22
transcript.pyannote[3483].start 22490.91284375
transcript.pyannote[3483].end 22492.92096875
transcript.pyannote[3484].speaker SPEAKER_22
transcript.pyannote[3484].start 22493.46096875
transcript.pyannote[3484].end 22494.47346875
transcript.pyannote[3485].speaker SPEAKER_22
transcript.pyannote[3485].start 22494.52409375
transcript.pyannote[3485].end 22500.07596875
transcript.pyannote[3486].speaker SPEAKER_27
transcript.pyannote[3486].start 22498.89471875
transcript.pyannote[3486].end 22499.31659375
transcript.pyannote[3487].speaker SPEAKER_27
transcript.pyannote[3487].start 22500.04221875
transcript.pyannote[3487].end 22500.16034375
transcript.pyannote[3488].speaker SPEAKER_22
transcript.pyannote[3488].start 22500.16034375
transcript.pyannote[3488].end 22504.02471875
transcript.pyannote[3489].speaker SPEAKER_27
transcript.pyannote[3489].start 22500.17721875
transcript.pyannote[3489].end 22500.19409375
transcript.pyannote[3490].speaker SPEAKER_18
transcript.pyannote[3490].start 22504.02471875
transcript.pyannote[3490].end 22507.97346875
transcript.pyannote[3491].speaker SPEAKER_22
transcript.pyannote[3491].start 22507.97346875
transcript.pyannote[3491].end 22513.06971875
transcript.pyannote[3492].speaker SPEAKER_18
transcript.pyannote[3492].start 22513.06971875
transcript.pyannote[3492].end 22513.08659375
transcript.pyannote[3493].speaker SPEAKER_05
transcript.pyannote[3493].start 22513.15409375
transcript.pyannote[3493].end 22519.21221875
transcript.pyannote[3494].speaker SPEAKER_05
transcript.pyannote[3494].start 22519.60034375
transcript.pyannote[3494].end 22521.16971875
transcript.pyannote[3495].speaker SPEAKER_05
transcript.pyannote[3495].start 22521.30471875
transcript.pyannote[3495].end 22524.51096875
transcript.pyannote[3496].speaker SPEAKER_22
transcript.pyannote[3496].start 22521.32159375
transcript.pyannote[3496].end 22521.77721875
transcript.pyannote[3497].speaker SPEAKER_22
transcript.pyannote[3497].start 22522.77284375
transcript.pyannote[3497].end 22524.44346875
transcript.pyannote[3498].speaker SPEAKER_22
transcript.pyannote[3498].start 22524.51096875
transcript.pyannote[3498].end 22524.76409375
transcript.pyannote[3499].speaker SPEAKER_05
transcript.pyannote[3499].start 22524.76409375
transcript.pyannote[3499].end 22528.72971875
transcript.pyannote[3500].speaker SPEAKER_22
transcript.pyannote[3500].start 22524.81471875
transcript.pyannote[3500].end 22525.18596875
transcript.pyannote[3501].speaker SPEAKER_13
transcript.pyannote[3501].start 22528.71284375
transcript.pyannote[3501].end 22529.03346875
transcript.pyannote[3502].speaker SPEAKER_18
transcript.pyannote[3502].start 22529.03346875
transcript.pyannote[3502].end 22529.06721875
transcript.pyannote[3503].speaker SPEAKER_05
transcript.pyannote[3503].start 22529.06721875
transcript.pyannote[3503].end 22529.42159375
transcript.pyannote[3504].speaker SPEAKER_13
transcript.pyannote[3504].start 22529.06721875
transcript.pyannote[3504].end 22529.43846875
transcript.pyannote[3505].speaker SPEAKER_18
transcript.pyannote[3505].start 22529.42159375
transcript.pyannote[3505].end 22529.97846875
transcript.pyannote[3506].speaker SPEAKER_13
transcript.pyannote[3506].start 22529.97846875
transcript.pyannote[3506].end 22530.02909375
transcript.pyannote[3507].speaker SPEAKER_18
transcript.pyannote[3507].start 22530.02909375
transcript.pyannote[3507].end 22530.94034375
transcript.pyannote[3508].speaker SPEAKER_13
transcript.pyannote[3508].start 22530.94034375
transcript.pyannote[3508].end 22530.97409375
transcript.pyannote[3509].speaker SPEAKER_05
transcript.pyannote[3509].start 22530.94034375
transcript.pyannote[3509].end 22531.42971875
transcript.pyannote[3510].speaker SPEAKER_18
transcript.pyannote[3510].start 22530.97409375
transcript.pyannote[3510].end 22534.33221875
transcript.pyannote[3511].speaker SPEAKER_05
transcript.pyannote[3511].start 22533.67409375
transcript.pyannote[3511].end 22533.94409375
transcript.pyannote[3512].speaker SPEAKER_19
transcript.pyannote[3512].start 22533.94409375
transcript.pyannote[3512].end 22533.97784375
transcript.pyannote[3513].speaker SPEAKER_19
transcript.pyannote[3513].start 22534.33221875
transcript.pyannote[3513].end 22534.36596875
transcript.pyannote[3514].speaker SPEAKER_18
transcript.pyannote[3514].start 22534.58534375
transcript.pyannote[3514].end 22536.96471875
transcript.pyannote[3515].speaker SPEAKER_19
transcript.pyannote[3515].start 22536.96471875
transcript.pyannote[3515].end 22546.02659375
transcript.pyannote[3516].speaker SPEAKER_18
transcript.pyannote[3516].start 22546.02659375
transcript.pyannote[3516].end 22553.97471875
transcript.pyannote[3517].speaker SPEAKER_22
transcript.pyannote[3517].start 22553.97471875
transcript.pyannote[3517].end 22558.48034375
transcript.pyannote[3518].speaker SPEAKER_19
transcript.pyannote[3518].start 22558.48034375
transcript.pyannote[3518].end 22566.96846875
transcript.pyannote[3519].speaker SPEAKER_22
transcript.pyannote[3519].start 22566.96846875
transcript.pyannote[3519].end 22567.03596875
transcript.pyannote[3520].speaker SPEAKER_18
transcript.pyannote[3520].start 22567.03596875
transcript.pyannote[3520].end 22568.62221875
transcript.pyannote[3521].speaker SPEAKER_05
transcript.pyannote[3521].start 22568.62221875
transcript.pyannote[3521].end 22576.82346875
transcript.pyannote[3522].speaker SPEAKER_18
transcript.pyannote[3522].start 22568.63909375
transcript.pyannote[3522].end 22570.25909375
transcript.pyannote[3523].speaker SPEAKER_05
transcript.pyannote[3523].start 22576.97534375
transcript.pyannote[3523].end 22579.05096875
transcript.pyannote[3524].speaker SPEAKER_22
transcript.pyannote[3524].start 22579.25346875
transcript.pyannote[3524].end 22579.67534375
transcript.pyannote[3525].speaker SPEAKER_05
transcript.pyannote[3525].start 22579.55721875
transcript.pyannote[3525].end 22582.30784375
transcript.pyannote[3526].speaker SPEAKER_22
transcript.pyannote[3526].start 22581.34596875
transcript.pyannote[3526].end 22583.79284375
transcript.pyannote[3527].speaker SPEAKER_05
transcript.pyannote[3527].start 22583.79284375
transcript.pyannote[3527].end 22586.13846875
transcript.pyannote[3528].speaker SPEAKER_05
transcript.pyannote[3528].start 22586.47596875
transcript.pyannote[3528].end 22589.64846875
transcript.pyannote[3529].speaker SPEAKER_22
transcript.pyannote[3529].start 22588.36596875
transcript.pyannote[3529].end 22588.75409375
transcript.pyannote[3530].speaker SPEAKER_13
transcript.pyannote[3530].start 22588.75409375
transcript.pyannote[3530].end 22588.78784375
transcript.pyannote[3531].speaker SPEAKER_05
transcript.pyannote[3531].start 22590.13784375
transcript.pyannote[3531].end 22593.59721875
transcript.pyannote[3532].speaker SPEAKER_05
transcript.pyannote[3532].start 22593.63096875
transcript.pyannote[3532].end 22593.64784375
transcript.pyannote[3533].speaker SPEAKER_22
transcript.pyannote[3533].start 22593.64784375
transcript.pyannote[3533].end 22600.97159375
transcript.pyannote[3534].speaker SPEAKER_15
transcript.pyannote[3534].start 22599.26721875
transcript.pyannote[3534].end 22599.77346875
transcript.pyannote[3535].speaker SPEAKER_05
transcript.pyannote[3535].start 22599.77346875
transcript.pyannote[3535].end 22599.94221875
transcript.pyannote[3536].speaker SPEAKER_15
transcript.pyannote[3536].start 22599.94221875
transcript.pyannote[3536].end 22600.02659375
transcript.pyannote[3537].speaker SPEAKER_05
transcript.pyannote[3537].start 22600.02659375
transcript.pyannote[3537].end 22602.08534375
transcript.pyannote[3538].speaker SPEAKER_18
transcript.pyannote[3538].start 22600.97159375
transcript.pyannote[3538].end 22603.50284375
transcript.pyannote[3539].speaker SPEAKER_05
transcript.pyannote[3539].start 22602.99659375
transcript.pyannote[3539].end 22607.21534375
transcript.pyannote[3540].speaker SPEAKER_05
transcript.pyannote[3540].start 22607.58659375
transcript.pyannote[3540].end 22608.56534375
transcript.pyannote[3541].speaker SPEAKER_27
transcript.pyannote[3541].start 22608.54846875
transcript.pyannote[3541].end 22609.05471875
transcript.pyannote[3542].speaker SPEAKER_05
transcript.pyannote[3542].start 22608.58221875
transcript.pyannote[3542].end 22608.59909375
transcript.pyannote[3543].speaker SPEAKER_05
transcript.pyannote[3543].start 22608.81846875
transcript.pyannote[3543].end 22617.86346875
transcript.pyannote[3544].speaker SPEAKER_27
transcript.pyannote[3544].start 22612.44659375
transcript.pyannote[3544].end 22612.56471875
transcript.pyannote[3545].speaker SPEAKER_08
transcript.pyannote[3545].start 22612.56471875
transcript.pyannote[3545].end 22612.73346875
transcript.pyannote[3546].speaker SPEAKER_08
transcript.pyannote[3546].start 22617.76221875
transcript.pyannote[3546].end 22617.84659375
transcript.pyannote[3547].speaker SPEAKER_08
transcript.pyannote[3547].start 22617.86346875
transcript.pyannote[3547].end 22618.03221875
transcript.pyannote[3548].speaker SPEAKER_05
transcript.pyannote[3548].start 22618.03221875
transcript.pyannote[3548].end 22619.83784375
transcript.pyannote[3549].speaker SPEAKER_05
transcript.pyannote[3549].start 22619.98971875
transcript.pyannote[3549].end 22631.51534375
transcript.pyannote[3550].speaker SPEAKER_18
transcript.pyannote[3550].start 22630.21596875
transcript.pyannote[3550].end 22630.72221875
transcript.pyannote[3551].speaker SPEAKER_18
transcript.pyannote[3551].start 22631.51534375
transcript.pyannote[3551].end 22641.58971875
transcript.pyannote[3552].speaker SPEAKER_05
transcript.pyannote[3552].start 22636.22346875
transcript.pyannote[3552].end 22639.02471875
transcript.pyannote[3553].speaker SPEAKER_22
transcript.pyannote[3553].start 22639.02471875
transcript.pyannote[3553].end 22639.78409375
transcript.pyannote[3554].speaker SPEAKER_19
transcript.pyannote[3554].start 22641.58971875
transcript.pyannote[3554].end 22641.69096875
transcript.pyannote[3555].speaker SPEAKER_18
transcript.pyannote[3555].start 22641.69096875
transcript.pyannote[3555].end 22642.02846875
transcript.pyannote[3556].speaker SPEAKER_19
transcript.pyannote[3556].start 22642.02846875
transcript.pyannote[3556].end 22650.97221875
transcript.pyannote[3557].speaker SPEAKER_22
transcript.pyannote[3557].start 22650.97221875
transcript.pyannote[3557].end 22652.99721875
transcript.pyannote[3558].speaker SPEAKER_22
transcript.pyannote[3558].start 22653.25034375
transcript.pyannote[3558].end 22654.02659375
transcript.pyannote[3559].speaker SPEAKER_18
transcript.pyannote[3559].start 22654.02659375
transcript.pyannote[3559].end 22655.15721875
transcript.pyannote[3560].speaker SPEAKER_18
transcript.pyannote[3560].start 22655.44409375
transcript.pyannote[3560].end 22661.97471875
transcript.pyannote[3561].speaker SPEAKER_22
transcript.pyannote[3561].start 22661.97471875
transcript.pyannote[3561].end 22674.02346875
transcript.pyannote[3562].speaker SPEAKER_18
transcript.pyannote[3562].start 22674.02346875
transcript.pyannote[3562].end 22674.12471875
transcript.pyannote[3563].speaker SPEAKER_22
transcript.pyannote[3563].start 22674.12471875
transcript.pyannote[3563].end 22674.36096875
transcript.pyannote[3564].speaker SPEAKER_18
transcript.pyannote[3564].start 22674.36096875
transcript.pyannote[3564].end 22676.92596875
transcript.pyannote[3565].speaker SPEAKER_08
transcript.pyannote[3565].start 22676.92596875
transcript.pyannote[3565].end 22677.58409375
transcript.pyannote[3566].speaker SPEAKER_18
transcript.pyannote[3566].start 22677.24659375
transcript.pyannote[3566].end 22680.97596875
transcript.pyannote[3567].speaker SPEAKER_22
transcript.pyannote[3567].start 22677.58409375
transcript.pyannote[3567].end 22677.63471875
transcript.pyannote[3568].speaker SPEAKER_22
transcript.pyannote[3568].start 22680.97596875
transcript.pyannote[3568].end 22690.03784375
transcript.pyannote[3569].speaker SPEAKER_18
transcript.pyannote[3569].start 22690.03784375
transcript.pyannote[3569].end 22702.10346875
transcript.pyannote[3570].speaker SPEAKER_18
transcript.pyannote[3570].start 22702.99784375
transcript.pyannote[3570].end 22711.51971875
transcript.pyannote[3571].speaker SPEAKER_18
transcript.pyannote[3571].start 22712.27909375
transcript.pyannote[3571].end 22714.08471875
transcript.pyannote[3572].speaker SPEAKER_05
transcript.pyannote[3572].start 22714.38846875
transcript.pyannote[3572].end 22714.54034375
transcript.pyannote[3573].speaker SPEAKER_18
transcript.pyannote[3573].start 22714.91159375
transcript.pyannote[3573].end 22716.71721875
transcript.pyannote[3574].speaker SPEAKER_22
transcript.pyannote[3574].start 22716.71721875
transcript.pyannote[3574].end 22716.75096875
transcript.pyannote[3575].speaker SPEAKER_05
transcript.pyannote[3575].start 22716.91971875
transcript.pyannote[3575].end 22720.66596875
transcript.pyannote[3576].speaker SPEAKER_05
transcript.pyannote[3576].start 22721.03721875
transcript.pyannote[3576].end 22722.20159375
transcript.pyannote[3577].speaker SPEAKER_05
transcript.pyannote[3577].start 22722.42096875
transcript.pyannote[3577].end 22741.52346875
transcript.pyannote[3578].speaker SPEAKER_00
transcript.pyannote[3578].start 22732.61346875
transcript.pyannote[3578].end 22733.10284375
transcript.pyannote[3579].speaker SPEAKER_15
transcript.pyannote[3579].start 22741.30409375
transcript.pyannote[3579].end 22742.80596875
transcript.pyannote[3580].speaker SPEAKER_05
transcript.pyannote[3580].start 22741.81034375
transcript.pyannote[3580].end 22742.06346875
transcript.pyannote[3581].speaker SPEAKER_05
transcript.pyannote[3581].start 22742.46846875
transcript.pyannote[3581].end 22745.59034375
transcript.pyannote[3582].speaker SPEAKER_05
transcript.pyannote[3582].start 22745.97846875
transcript.pyannote[3582].end 22750.82159375
transcript.pyannote[3583].speaker SPEAKER_22
transcript.pyannote[3583].start 22749.72471875
transcript.pyannote[3583].end 22755.02346875
transcript.pyannote[3584].speaker SPEAKER_05
transcript.pyannote[3584].start 22751.83409375
transcript.pyannote[3584].end 22752.12096875
transcript.pyannote[3585].speaker SPEAKER_05
transcript.pyannote[3585].start 22752.81284375
transcript.pyannote[3585].end 22753.40346875
transcript.pyannote[3586].speaker SPEAKER_05
transcript.pyannote[3586].start 22754.23034375
transcript.pyannote[3586].end 22757.38596875
transcript.pyannote[3587].speaker SPEAKER_22
transcript.pyannote[3587].start 22757.11596875
transcript.pyannote[3587].end 22757.89221875
transcript.pyannote[3588].speaker SPEAKER_05
transcript.pyannote[3588].start 22757.82471875
transcript.pyannote[3588].end 22761.21659375
transcript.pyannote[3589].speaker SPEAKER_05
transcript.pyannote[3589].start 22761.31784375
transcript.pyannote[3589].end 22762.12784375
transcript.pyannote[3590].speaker SPEAKER_05
transcript.pyannote[3590].start 22762.41471875
transcript.pyannote[3590].end 22763.00534375
transcript.pyannote[3591].speaker SPEAKER_27
transcript.pyannote[3591].start 22767.10596875
transcript.pyannote[3591].end 22767.57846875
transcript.pyannote[3592].speaker SPEAKER_26
transcript.pyannote[3592].start 22768.45596875
transcript.pyannote[3592].end 22770.09284375
transcript.pyannote[3593].speaker SPEAKER_26
transcript.pyannote[3593].start 22770.61596875
transcript.pyannote[3593].end 22772.67471875
transcript.pyannote[3594].speaker SPEAKER_22
transcript.pyannote[3594].start 22778.71596875
transcript.pyannote[3594].end 22780.96034375
transcript.pyannote[3595].speaker SPEAKER_26
transcript.pyannote[3595].start 22781.24721875
transcript.pyannote[3595].end 22781.80409375
transcript.pyannote[3596].speaker SPEAKER_22
transcript.pyannote[3596].start 22781.80409375
transcript.pyannote[3596].end 22781.83784375
transcript.pyannote[3597].speaker SPEAKER_26
transcript.pyannote[3597].start 22781.83784375
transcript.pyannote[3597].end 22781.85471875
transcript.pyannote[3598].speaker SPEAKER_05
transcript.pyannote[3598].start 22790.05596875
transcript.pyannote[3598].end 22790.52846875
transcript.pyannote[3599].speaker SPEAKER_22
transcript.pyannote[3599].start 22791.11909375
transcript.pyannote[3599].end 22791.86159375
transcript.pyannote[3600].speaker SPEAKER_22
transcript.pyannote[3600].start 22792.38471875
transcript.pyannote[3600].end 22794.93284375
transcript.pyannote[3601].speaker SPEAKER_22
transcript.pyannote[3601].start 22795.32096875
transcript.pyannote[3601].end 22845.57471875
transcript.pyannote[3602].speaker SPEAKER_05
transcript.pyannote[3602].start 22845.91221875
transcript.pyannote[3602].end 22861.25159375
transcript.pyannote[3603].speaker SPEAKER_05
transcript.pyannote[3603].start 22861.48784375
transcript.pyannote[3603].end 22865.74034375
transcript.pyannote[3604].speaker SPEAKER_05
transcript.pyannote[3604].start 22866.04409375
transcript.pyannote[3604].end 22866.41534375
transcript.pyannote[3605].speaker SPEAKER_05
transcript.pyannote[3605].start 22866.63471875
transcript.pyannote[3605].end 22873.50284375
transcript.pyannote[3606].speaker SPEAKER_05
transcript.pyannote[3606].start 22873.75596875
transcript.pyannote[3606].end 22874.68409375
transcript.pyannote[3607].speaker SPEAKER_22
transcript.pyannote[3607].start 22874.22846875
transcript.pyannote[3607].end 22904.35034375
transcript.pyannote[3608].speaker SPEAKER_05
transcript.pyannote[3608].start 22903.33784375
transcript.pyannote[3608].end 22909.31159375
transcript.pyannote[3609].speaker SPEAKER_18
transcript.pyannote[3609].start 22909.86846875
transcript.pyannote[3609].end 22910.40846875
transcript.pyannote[3610].speaker SPEAKER_18
transcript.pyannote[3610].start 22910.64471875
transcript.pyannote[3610].end 22928.04284375
transcript.pyannote[3611].speaker SPEAKER_18
transcript.pyannote[3611].start 22928.31284375
transcript.pyannote[3611].end 22949.28846875
transcript.pyannote[3612].speaker SPEAKER_27
transcript.pyannote[3612].start 22934.75909375
transcript.pyannote[3612].end 22934.97846875
transcript.pyannote[3613].speaker SPEAKER_00
transcript.pyannote[3613].start 22934.97846875
transcript.pyannote[3613].end 22935.18096875
transcript.pyannote[3614].speaker SPEAKER_22
transcript.pyannote[3614].start 22949.28846875
transcript.pyannote[3614].end 22968.88034375
transcript.pyannote[3615].speaker SPEAKER_05
transcript.pyannote[3615].start 22968.76221875
transcript.pyannote[3615].end 22969.40346875
transcript.pyannote[3616].speaker SPEAKER_22
transcript.pyannote[3616].start 22969.21784375
transcript.pyannote[3616].end 23025.22596875
transcript.pyannote[3617].speaker SPEAKER_18
transcript.pyannote[3617].start 23026.25534375
transcript.pyannote[3617].end 23039.97471875
transcript.pyannote[3618].speaker SPEAKER_12
transcript.pyannote[3618].start 23031.36846875
transcript.pyannote[3618].end 23031.57096875
transcript.pyannote[3619].speaker SPEAKER_15
transcript.pyannote[3619].start 23039.78909375
transcript.pyannote[3619].end 23039.90721875
transcript.pyannote[3620].speaker SPEAKER_15
transcript.pyannote[3620].start 23039.97471875
transcript.pyannote[3620].end 23042.01659375
transcript.pyannote[3621].speaker SPEAKER_18
transcript.pyannote[3621].start 23041.00409375
transcript.pyannote[3621].end 23060.86596875
transcript.pyannote[3622].speaker SPEAKER_22
transcript.pyannote[3622].start 23059.88721875
transcript.pyannote[3622].end 23065.40534375
transcript.pyannote[3623].speaker SPEAKER_18
transcript.pyannote[3623].start 23060.95034375
transcript.pyannote[3623].end 23061.15284375
transcript.pyannote[3624].speaker SPEAKER_18
transcript.pyannote[3624].start 23063.80221875
transcript.pyannote[3624].end 23084.96346875
transcript.pyannote[3625].speaker SPEAKER_22
transcript.pyannote[3625].start 23084.96346875
transcript.pyannote[3625].end 23129.85096875
transcript.pyannote[3626].speaker SPEAKER_22
transcript.pyannote[3626].start 23129.93534375
transcript.pyannote[3626].end 23173.47284375
transcript.pyannote[3627].speaker SPEAKER_22
transcript.pyannote[3627].start 23173.96221875
transcript.pyannote[3627].end 23210.44596875
transcript.pyannote[3628].speaker SPEAKER_22
transcript.pyannote[3628].start 23210.78346875
transcript.pyannote[3628].end 23212.40346875
transcript.pyannote[3629].speaker SPEAKER_22
transcript.pyannote[3629].start 23212.84221875
transcript.pyannote[3629].end 23238.67784375
transcript.pyannote[3630].speaker SPEAKER_05
transcript.pyannote[3630].start 23237.93534375
transcript.pyannote[3630].end 23243.01471875
transcript.pyannote[3631].speaker SPEAKER_22
transcript.pyannote[3631].start 23239.16721875
transcript.pyannote[3631].end 23239.45409375
transcript.pyannote[3632].speaker SPEAKER_22
transcript.pyannote[3632].start 23240.75346875
transcript.pyannote[3632].end 23241.19221875
transcript.pyannote[3633].speaker SPEAKER_22
transcript.pyannote[3633].start 23243.21721875
transcript.pyannote[3633].end 23257.13909375
transcript.pyannote[3634].speaker SPEAKER_05
transcript.pyannote[3634].start 23243.55471875
transcript.pyannote[3634].end 23244.65159375
transcript.pyannote[3635].speaker SPEAKER_22
transcript.pyannote[3635].start 23257.20659375
transcript.pyannote[3635].end 23258.32034375
transcript.pyannote[3636].speaker SPEAKER_22
transcript.pyannote[3636].start 23258.53971875
transcript.pyannote[3636].end 23302.36409375
transcript.pyannote[3637].speaker SPEAKER_19
transcript.pyannote[3637].start 23291.49659375
transcript.pyannote[3637].end 23291.88471875
transcript.pyannote[3638].speaker SPEAKER_26
transcript.pyannote[3638].start 23306.80221875
transcript.pyannote[3638].end 23309.04659375
transcript.pyannote[3639].speaker SPEAKER_26
transcript.pyannote[3639].start 23310.00846875
transcript.pyannote[3639].end 23312.91096875
transcript.pyannote[3640].speaker SPEAKER_24
transcript.pyannote[3640].start 23323.71096875
transcript.pyannote[3640].end 23324.65596875
transcript.pyannote[3641].speaker SPEAKER_24
transcript.pyannote[3641].start 23324.95971875
transcript.pyannote[3641].end 23329.36409375
transcript.pyannote[3642].speaker SPEAKER_24
transcript.pyannote[3642].start 23330.17409375
transcript.pyannote[3642].end 23332.08096875
transcript.pyannote[3643].speaker SPEAKER_26
transcript.pyannote[3643].start 23332.65471875
transcript.pyannote[3643].end 23335.55721875
transcript.pyannote[3644].speaker SPEAKER_24
transcript.pyannote[3644].start 23335.16909375
transcript.pyannote[3644].end 23337.39659375
transcript.pyannote[3645].speaker SPEAKER_26
transcript.pyannote[3645].start 23336.45159375
transcript.pyannote[3645].end 23337.44721875
transcript.pyannote[3646].speaker SPEAKER_24
transcript.pyannote[3646].start 23338.18971875
transcript.pyannote[3646].end 23339.03346875
transcript.pyannote[3647].speaker SPEAKER_24
transcript.pyannote[3647].start 23339.82659375
transcript.pyannote[3647].end 23341.39596875
transcript.pyannote[3648].speaker SPEAKER_26
transcript.pyannote[3648].start 23340.40034375
transcript.pyannote[3648].end 23343.26909375
transcript.pyannote[3649].speaker SPEAKER_24
transcript.pyannote[3649].start 23343.67409375
transcript.pyannote[3649].end 23344.28159375
transcript.pyannote[3650].speaker SPEAKER_26
transcript.pyannote[3650].start 23343.70784375
transcript.pyannote[3650].end 23345.74971875
transcript.pyannote[3651].speaker SPEAKER_26
transcript.pyannote[3651].start 23345.96909375
transcript.pyannote[3651].end 23346.54284375
transcript.pyannote[3652].speaker SPEAKER_26
transcript.pyannote[3652].start 23346.74534375
transcript.pyannote[3652].end 23347.38659375
transcript.pyannote[3653].speaker SPEAKER_24
transcript.pyannote[3653].start 23347.38659375
transcript.pyannote[3653].end 23347.72409375
transcript.pyannote[3654].speaker SPEAKER_24
transcript.pyannote[3654].start 23347.99409375
transcript.pyannote[3654].end 23350.52534375
transcript.pyannote[3655].speaker SPEAKER_26
transcript.pyannote[3655].start 23348.16284375
transcript.pyannote[3655].end 23348.68596875
transcript.pyannote[3656].speaker SPEAKER_24
transcript.pyannote[3656].start 23352.11159375
transcript.pyannote[3656].end 23352.31409375
transcript.pyannote[3657].speaker SPEAKER_24
transcript.pyannote[3657].start 23352.95534375
transcript.pyannote[3657].end 23353.24221875
transcript.pyannote[3658].speaker SPEAKER_24
transcript.pyannote[3658].start 23354.27159375
transcript.pyannote[3658].end 23355.87471875
transcript.pyannote[3659].speaker SPEAKER_24
transcript.pyannote[3659].start 23356.07721875
transcript.pyannote[3659].end 23357.78159375
transcript.pyannote[3660].speaker SPEAKER_24
transcript.pyannote[3660].start 23358.70971875
transcript.pyannote[3660].end 23369.34096875
transcript.pyannote[3661].speaker SPEAKER_26
transcript.pyannote[3661].start 23362.15221875
transcript.pyannote[3661].end 23362.65846875
transcript.pyannote[3662].speaker SPEAKER_24
transcript.pyannote[3662].start 23369.62784375
transcript.pyannote[3662].end 23380.02284375
transcript.pyannote[3663].speaker SPEAKER_24
transcript.pyannote[3663].start 23381.99721875
transcript.pyannote[3663].end 23383.85346875
transcript.pyannote[3664].speaker SPEAKER_24
transcript.pyannote[3664].start 23384.61284375
transcript.pyannote[3664].end 23385.43971875
transcript.pyannote[3665].speaker SPEAKER_24
transcript.pyannote[3665].start 23386.85721875
transcript.pyannote[3665].end 23391.48096875
transcript.pyannote[3666].speaker SPEAKER_12
transcript.pyannote[3666].start 23387.26221875
transcript.pyannote[3666].end 23387.53221875
transcript.pyannote[3667].speaker SPEAKER_00
transcript.pyannote[3667].start 23389.87784375
transcript.pyannote[3667].end 23390.70471875
transcript.pyannote[3668].speaker SPEAKER_24
transcript.pyannote[3668].start 23391.86909375
transcript.pyannote[3668].end 23393.33721875
transcript.pyannote[3669].speaker SPEAKER_24
transcript.pyannote[3669].start 23393.89409375
transcript.pyannote[3669].end 23400.82971875
transcript.pyannote[3670].speaker SPEAKER_00
transcript.pyannote[3670].start 23396.52659375
transcript.pyannote[3670].end 23396.54346875
transcript.pyannote[3671].speaker SPEAKER_24
transcript.pyannote[3671].start 23401.43721875
transcript.pyannote[3671].end 23403.86721875
transcript.pyannote[3672].speaker SPEAKER_24
transcript.pyannote[3672].start 23405.31846875
transcript.pyannote[3672].end 23406.44909375
transcript.pyannote[3673].speaker SPEAKER_24
transcript.pyannote[3673].start 23407.54596875
transcript.pyannote[3673].end 23408.59221875
transcript.pyannote[3674].speaker SPEAKER_24
transcript.pyannote[3674].start 23409.62159375
transcript.pyannote[3674].end 23413.50284375
transcript.pyannote[3675].speaker SPEAKER_24
transcript.pyannote[3675].start 23413.95846875
transcript.pyannote[3675].end 23416.43909375
transcript.pyannote[3676].speaker SPEAKER_27
transcript.pyannote[3676].start 23416.43909375
transcript.pyannote[3676].end 23416.69221875
transcript.pyannote[3677].speaker SPEAKER_24
transcript.pyannote[3677].start 23417.09721875
transcript.pyannote[3677].end 23421.04596875
transcript.pyannote[3678].speaker SPEAKER_24
transcript.pyannote[3678].start 23421.34971875
transcript.pyannote[3678].end 23422.31159375
transcript.pyannote[3679].speaker SPEAKER_24
transcript.pyannote[3679].start 23423.69534375
transcript.pyannote[3679].end 23424.89346875
transcript.pyannote[3680].speaker SPEAKER_24
transcript.pyannote[3680].start 23425.48409375
transcript.pyannote[3680].end 23426.04096875
transcript.pyannote[3681].speaker SPEAKER_24
transcript.pyannote[3681].start 23426.47971875
transcript.pyannote[3681].end 23429.70284375
transcript.pyannote[3682].speaker SPEAKER_24
transcript.pyannote[3682].start 23431.20471875
transcript.pyannote[3682].end 23431.77846875
transcript.pyannote[3683].speaker SPEAKER_24
transcript.pyannote[3683].start 23432.47034375
transcript.pyannote[3683].end 23433.14534375
transcript.pyannote[3684].speaker SPEAKER_24
transcript.pyannote[3684].start 23433.55034375
transcript.pyannote[3684].end 23434.73159375
transcript.pyannote[3685].speaker SPEAKER_24
transcript.pyannote[3685].start 23437.27971875
transcript.pyannote[3685].end 23440.73909375
transcript.pyannote[3686].speaker SPEAKER_24
transcript.pyannote[3686].start 23441.16096875
transcript.pyannote[3686].end 23443.13534375
transcript.pyannote[3687].speaker SPEAKER_24
transcript.pyannote[3687].start 23444.38409375
transcript.pyannote[3687].end 23450.56034375
transcript.pyannote[3688].speaker SPEAKER_26
transcript.pyannote[3688].start 23450.56034375
transcript.pyannote[3688].end 23450.57721875
transcript.pyannote[3689].speaker SPEAKER_27
transcript.pyannote[3689].start 23450.88096875
transcript.pyannote[3689].end 23451.23534375
transcript.pyannote[3690].speaker SPEAKER_27
transcript.pyannote[3690].start 23451.69096875
transcript.pyannote[3690].end 23455.06596875
transcript.pyannote[3691].speaker SPEAKER_24
transcript.pyannote[3691].start 23451.70784375
transcript.pyannote[3691].end 23455.09971875
transcript.pyannote[3692].speaker SPEAKER_24
transcript.pyannote[3692].start 23455.87596875
transcript.pyannote[3692].end 23464.12784375
transcript.pyannote[3693].speaker SPEAKER_24
transcript.pyannote[3693].start 23464.26284375
transcript.pyannote[3693].end 23464.63409375
transcript.pyannote[3694].speaker SPEAKER_24
transcript.pyannote[3694].start 23465.03909375
transcript.pyannote[3694].end 23469.32534375
transcript.pyannote[3695].speaker SPEAKER_24
transcript.pyannote[3695].start 23469.74721875
transcript.pyannote[3695].end 23471.33346875
transcript.pyannote[3696].speaker SPEAKER_24
transcript.pyannote[3696].start 23471.70471875
transcript.pyannote[3696].end 23474.06721875
transcript.pyannote[3697].speaker SPEAKER_24
transcript.pyannote[3697].start 23474.59034375
transcript.pyannote[3697].end 23479.50096875
transcript.pyannote[3698].speaker SPEAKER_24
transcript.pyannote[3698].start 23479.97346875
transcript.pyannote[3698].end 23481.71159375
transcript.pyannote[3699].speaker SPEAKER_24
transcript.pyannote[3699].start 23482.13346875
transcript.pyannote[3699].end 23486.43659375
transcript.pyannote[3700].speaker SPEAKER_05
transcript.pyannote[3700].start 23486.43659375
transcript.pyannote[3700].end 23486.48721875
transcript.pyannote[3701].speaker SPEAKER_05
transcript.pyannote[3701].start 23487.11159375
transcript.pyannote[3701].end 23493.96284375
transcript.pyannote[3702].speaker SPEAKER_24
transcript.pyannote[3702].start 23493.96284375
transcript.pyannote[3702].end 23494.78971875
transcript.pyannote[3703].speaker SPEAKER_24
transcript.pyannote[3703].start 23494.95846875
transcript.pyannote[3703].end 23495.41409375
transcript.pyannote[3704].speaker SPEAKER_24
transcript.pyannote[3704].start 23495.65034375
transcript.pyannote[3704].end 23502.01221875
transcript.pyannote[3705].speaker SPEAKER_24
transcript.pyannote[3705].start 23502.34971875
transcript.pyannote[3705].end 23506.60221875
transcript.pyannote[3706].speaker SPEAKER_24
transcript.pyannote[3706].start 23507.39534375
transcript.pyannote[3706].end 23510.07846875
transcript.pyannote[3707].speaker SPEAKER_24
transcript.pyannote[3707].start 23510.66909375
transcript.pyannote[3707].end 23512.47471875
transcript.pyannote[3708].speaker SPEAKER_24
transcript.pyannote[3708].start 23512.93034375
transcript.pyannote[3708].end 23514.33096875
transcript.pyannote[3709].speaker SPEAKER_24
transcript.pyannote[3709].start 23514.55034375
transcript.pyannote[3709].end 23521.31721875
transcript.pyannote[3710].speaker SPEAKER_24
transcript.pyannote[3710].start 23522.17784375
transcript.pyannote[3710].end 23523.67971875
transcript.pyannote[3711].speaker SPEAKER_24
transcript.pyannote[3711].start 23524.38846875
transcript.pyannote[3711].end 23524.67534375
transcript.pyannote[3712].speaker SPEAKER_24
transcript.pyannote[3712].start 23524.84409375
transcript.pyannote[3712].end 23527.93221875
transcript.pyannote[3713].speaker SPEAKER_24
transcript.pyannote[3713].start 23528.70846875
transcript.pyannote[3713].end 23530.93596875
transcript.pyannote[3714].speaker SPEAKER_24
transcript.pyannote[3714].start 23531.54346875
transcript.pyannote[3714].end 23532.55596875
transcript.pyannote[3715].speaker SPEAKER_24
transcript.pyannote[3715].start 23533.28159375
transcript.pyannote[3715].end 23534.98596875
transcript.pyannote[3716].speaker SPEAKER_24
transcript.pyannote[3716].start 23535.96471875
transcript.pyannote[3716].end 23539.82909375
transcript.pyannote[3717].speaker SPEAKER_24
transcript.pyannote[3717].start 23541.26346875
transcript.pyannote[3717].end 23545.76909375
transcript.pyannote[3718].speaker SPEAKER_24
transcript.pyannote[3718].start 23546.08971875
transcript.pyannote[3718].end 23547.94596875
transcript.pyannote[3719].speaker SPEAKER_24
transcript.pyannote[3719].start 23548.24971875
transcript.pyannote[3719].end 23549.95409375
transcript.pyannote[3720].speaker SPEAKER_24
transcript.pyannote[3720].start 23550.78096875
transcript.pyannote[3720].end 23559.99471875
transcript.pyannote[3721].speaker SPEAKER_24
transcript.pyannote[3721].start 23560.95659375
transcript.pyannote[3721].end 23560.97346875
transcript.pyannote[3722].speaker SPEAKER_05
transcript.pyannote[3722].start 23560.97346875
transcript.pyannote[3722].end 23565.86721875
transcript.pyannote[3723].speaker SPEAKER_05
transcript.pyannote[3723].start 23566.08659375
transcript.pyannote[3723].end 23572.02659375
transcript.pyannote[3724].speaker SPEAKER_05
transcript.pyannote[3724].start 23572.17846875
transcript.pyannote[3724].end 23574.27096875
transcript.pyannote[3725].speaker SPEAKER_05
transcript.pyannote[3725].start 23574.42284375
transcript.pyannote[3725].end 23577.73034375
transcript.pyannote[3726].speaker SPEAKER_05
transcript.pyannote[3726].start 23578.00034375
transcript.pyannote[3726].end 23580.21096875
transcript.pyannote[3727].speaker SPEAKER_05
transcript.pyannote[3727].start 23580.63284375
transcript.pyannote[3727].end 23588.39534375
transcript.pyannote[3728].speaker SPEAKER_24
transcript.pyannote[3728].start 23588.39534375
transcript.pyannote[3728].end 23591.75346875
transcript.pyannote[3729].speaker SPEAKER_24
transcript.pyannote[3729].start 23592.10784375
transcript.pyannote[3729].end 23600.17409375
transcript.pyannote[3730].speaker SPEAKER_24
transcript.pyannote[3730].start 23600.86596875
transcript.pyannote[3730].end 23603.02596875
transcript.pyannote[3731].speaker SPEAKER_24
transcript.pyannote[3731].start 23603.46471875
transcript.pyannote[3731].end 23605.65846875
transcript.pyannote[3732].speaker SPEAKER_24
transcript.pyannote[3732].start 23606.38409375
transcript.pyannote[3732].end 23609.97846875
transcript.pyannote[3733].speaker SPEAKER_24
transcript.pyannote[3733].start 23610.53534375
transcript.pyannote[3733].end 23611.32846875
transcript.pyannote[3734].speaker SPEAKER_24
transcript.pyannote[3734].start 23611.93596875
transcript.pyannote[3734].end 23614.66971875
transcript.pyannote[3735].speaker SPEAKER_24
transcript.pyannote[3735].start 23615.14221875
transcript.pyannote[3735].end 23624.15346875
transcript.pyannote[3736].speaker SPEAKER_24
transcript.pyannote[3736].start 23624.77784375
transcript.pyannote[3736].end 23626.21221875
transcript.pyannote[3737].speaker SPEAKER_24
transcript.pyannote[3737].start 23626.65096875
transcript.pyannote[3737].end 23627.49471875
transcript.pyannote[3738].speaker SPEAKER_24
transcript.pyannote[3738].start 23627.93346875
transcript.pyannote[3738].end 23631.19034375
transcript.pyannote[3739].speaker SPEAKER_24
transcript.pyannote[3739].start 23631.56159375
transcript.pyannote[3739].end 23633.82284375
transcript.pyannote[3740].speaker SPEAKER_24
transcript.pyannote[3740].start 23633.92409375
transcript.pyannote[3740].end 23634.98721875
transcript.pyannote[3741].speaker SPEAKER_24
transcript.pyannote[3741].start 23635.25721875
transcript.pyannote[3741].end 23635.76346875
transcript.pyannote[3742].speaker SPEAKER_24
transcript.pyannote[3742].start 23635.99971875
transcript.pyannote[3742].end 23638.85159375
transcript.pyannote[3743].speaker SPEAKER_24
transcript.pyannote[3743].start 23639.07096875
transcript.pyannote[3743].end 23641.02846875
transcript.pyannote[3744].speaker SPEAKER_05
transcript.pyannote[3744].start 23641.02846875
transcript.pyannote[3744].end 23671.06596875
transcript.pyannote[3745].speaker SPEAKER_24
transcript.pyannote[3745].start 23669.22659375
transcript.pyannote[3745].end 23683.24971875
transcript.pyannote[3746].speaker SPEAKER_24
transcript.pyannote[3746].start 23683.75596875
transcript.pyannote[3746].end 23685.94971875
transcript.pyannote[3747].speaker SPEAKER_24
transcript.pyannote[3747].start 23686.06784375
transcript.pyannote[3747].end 23692.86846875
transcript.pyannote[3748].speaker SPEAKER_24
transcript.pyannote[3748].start 23693.27346875
transcript.pyannote[3748].end 23696.47971875
transcript.pyannote[3749].speaker SPEAKER_24
transcript.pyannote[3749].start 23696.63159375
transcript.pyannote[3749].end 23700.47909375
transcript.pyannote[3750].speaker SPEAKER_24
transcript.pyannote[3750].start 23701.81221875
transcript.pyannote[3750].end 23701.82909375
transcript.pyannote[3751].speaker SPEAKER_05
transcript.pyannote[3751].start 23701.82909375
transcript.pyannote[3751].end 23724.39096875
transcript.pyannote[3752].speaker SPEAKER_05
transcript.pyannote[3752].start 23724.50909375
transcript.pyannote[3752].end 23726.33159375
transcript.pyannote[3753].speaker SPEAKER_05
transcript.pyannote[3753].start 23726.44971875
transcript.pyannote[3753].end 23726.80409375
transcript.pyannote[3754].speaker SPEAKER_05
transcript.pyannote[3754].start 23727.12471875
transcript.pyannote[3754].end 23728.96409375
transcript.pyannote[3755].speaker SPEAKER_05
transcript.pyannote[3755].start 23729.40284375
transcript.pyannote[3755].end 23732.01846875
transcript.pyannote[3756].speaker SPEAKER_05
transcript.pyannote[3756].start 23732.45721875
transcript.pyannote[3756].end 23735.76471875
transcript.pyannote[3757].speaker SPEAKER_05
transcript.pyannote[3757].start 23736.05159375
transcript.pyannote[3757].end 23741.58659375
transcript.pyannote[3758].speaker SPEAKER_24
transcript.pyannote[3758].start 23737.14846875
transcript.pyannote[3758].end 23741.70471875
transcript.pyannote[3759].speaker SPEAKER_24
transcript.pyannote[3759].start 23741.90721875
transcript.pyannote[3759].end 23746.48034375
transcript.pyannote[3760].speaker SPEAKER_27
transcript.pyannote[3760].start 23746.68284375
transcript.pyannote[3760].end 23747.05409375
transcript.pyannote[3761].speaker SPEAKER_24
transcript.pyannote[3761].start 23747.08784375
transcript.pyannote[3761].end 23756.77409375
transcript.pyannote[3762].speaker SPEAKER_24
transcript.pyannote[3762].start 23757.36471875
transcript.pyannote[3762].end 23767.72596875
transcript.pyannote[3763].speaker SPEAKER_24
transcript.pyannote[3763].start 23768.70471875
transcript.pyannote[3763].end 23769.76784375
transcript.pyannote[3764].speaker SPEAKER_24
transcript.pyannote[3764].start 23769.90284375
transcript.pyannote[3764].end 23770.24034375
transcript.pyannote[3765].speaker SPEAKER_24
transcript.pyannote[3765].start 23771.06721875
transcript.pyannote[3765].end 23771.87721875
transcript.pyannote[3766].speaker SPEAKER_24
transcript.pyannote[3766].start 23775.16784375
transcript.pyannote[3766].end 23775.77534375
transcript.pyannote[3767].speaker SPEAKER_24
transcript.pyannote[3767].start 23776.66971875
transcript.pyannote[3767].end 23785.12409375
transcript.pyannote[3768].speaker SPEAKER_24
transcript.pyannote[3768].start 23785.68096875
transcript.pyannote[3768].end 23790.18659375
transcript.pyannote[3769].speaker SPEAKER_24
transcript.pyannote[3769].start 23790.45659375
transcript.pyannote[3769].end 23791.75596875
transcript.pyannote[3770].speaker SPEAKER_24
transcript.pyannote[3770].start 23792.19471875
transcript.pyannote[3770].end 23792.76846875
transcript.pyannote[3771].speaker SPEAKER_24
transcript.pyannote[3771].start 23793.13971875
transcript.pyannote[3771].end 23794.92846875
transcript.pyannote[3772].speaker SPEAKER_24
transcript.pyannote[3772].start 23795.80596875
transcript.pyannote[3772].end 23796.37971875
transcript.pyannote[3773].speaker SPEAKER_24
transcript.pyannote[3773].start 23796.73409375
transcript.pyannote[3773].end 23800.19346875
transcript.pyannote[3774].speaker SPEAKER_24
transcript.pyannote[3774].start 23800.96971875
transcript.pyannote[3774].end 23810.63909375
transcript.pyannote[3775].speaker SPEAKER_24
transcript.pyannote[3775].start 23810.79096875
transcript.pyannote[3775].end 23811.85409375
transcript.pyannote[3776].speaker SPEAKER_24
transcript.pyannote[3776].start 23812.56284375
transcript.pyannote[3776].end 23817.97971875
transcript.pyannote[3777].speaker SPEAKER_24
transcript.pyannote[3777].start 23818.40159375
transcript.pyannote[3777].end 23820.22409375
transcript.pyannote[3778].speaker SPEAKER_24
transcript.pyannote[3778].start 23820.61221875
transcript.pyannote[3778].end 23821.20284375
transcript.pyannote[3779].speaker SPEAKER_24
transcript.pyannote[3779].start 23821.96221875
transcript.pyannote[3779].end 23827.86846875
transcript.pyannote[3780].speaker SPEAKER_24
transcript.pyannote[3780].start 23828.18909375
transcript.pyannote[3780].end 23835.61409375
transcript.pyannote[3781].speaker SPEAKER_24
transcript.pyannote[3781].start 23835.88409375
transcript.pyannote[3781].end 23841.36846875
transcript.pyannote[3782].speaker SPEAKER_24
transcript.pyannote[3782].start 23842.04346875
transcript.pyannote[3782].end 23843.52846875
transcript.pyannote[3783].speaker SPEAKER_24
transcript.pyannote[3783].start 23844.27096875
transcript.pyannote[3783].end 23845.08096875
transcript.pyannote[3784].speaker SPEAKER_24
transcript.pyannote[3784].start 23845.16534375
transcript.pyannote[3784].end 23848.52346875
transcript.pyannote[3785].speaker SPEAKER_24
transcript.pyannote[3785].start 23848.92846875
transcript.pyannote[3785].end 23849.51909375
transcript.pyannote[3786].speaker SPEAKER_24
transcript.pyannote[3786].start 23849.85659375
transcript.pyannote[3786].end 23850.46409375
transcript.pyannote[3787].speaker SPEAKER_24
transcript.pyannote[3787].start 23850.68346875
transcript.pyannote[3787].end 23858.04096875
transcript.pyannote[3788].speaker SPEAKER_24
transcript.pyannote[3788].start 23858.19284375
transcript.pyannote[3788].end 23860.60596875
transcript.pyannote[3789].speaker SPEAKER_24
transcript.pyannote[3789].start 23860.85909375
transcript.pyannote[3789].end 23866.32659375
transcript.pyannote[3790].speaker SPEAKER_24
transcript.pyannote[3790].start 23866.88346875
transcript.pyannote[3790].end 23875.18596875
transcript.pyannote[3791].speaker SPEAKER_24
transcript.pyannote[3791].start 23875.30409375
transcript.pyannote[3791].end 23880.87284375
transcript.pyannote[3792].speaker SPEAKER_24
transcript.pyannote[3792].start 23880.97409375
transcript.pyannote[3792].end 23885.15909375
transcript.pyannote[3793].speaker SPEAKER_24
transcript.pyannote[3793].start 23885.64846875
transcript.pyannote[3793].end 23890.82909375
transcript.pyannote[3794].speaker SPEAKER_24
transcript.pyannote[3794].start 23891.95971875
transcript.pyannote[3794].end 23892.02721875
transcript.pyannote[3795].speaker SPEAKER_05
transcript.pyannote[3795].start 23892.02721875
transcript.pyannote[3795].end 23892.49971875
transcript.pyannote[3796].speaker SPEAKER_24
transcript.pyannote[3796].start 23893.56284375
transcript.pyannote[3796].end 23893.57971875
transcript.pyannote[3797].speaker SPEAKER_05
transcript.pyannote[3797].start 23893.57971875
transcript.pyannote[3797].end 23900.04284375
transcript.pyannote[3798].speaker SPEAKER_05
transcript.pyannote[3798].start 23900.58284375
transcript.pyannote[3798].end 23903.77221875
transcript.pyannote[3799].speaker SPEAKER_05
transcript.pyannote[3799].start 23904.09284375
transcript.pyannote[3799].end 23906.92784375
transcript.pyannote[3800].speaker SPEAKER_23
transcript.pyannote[3800].start 23906.92784375
transcript.pyannote[3800].end 23908.61534375
transcript.pyannote[3801].speaker SPEAKER_05
transcript.pyannote[3801].start 23907.02909375
transcript.pyannote[3801].end 23907.38346875
transcript.pyannote[3802].speaker SPEAKER_23
transcript.pyannote[3802].start 23908.95284375
transcript.pyannote[3802].end 23925.37221875
transcript.pyannote[3803].speaker SPEAKER_24
transcript.pyannote[3803].start 23923.97159375
transcript.pyannote[3803].end 23934.33284375
transcript.pyannote[3804].speaker SPEAKER_24
transcript.pyannote[3804].start 23934.85596875
transcript.pyannote[3804].end 23950.39784375
transcript.pyannote[3805].speaker SPEAKER_23
transcript.pyannote[3805].start 23953.08096875
transcript.pyannote[3805].end 23962.93596875
transcript.pyannote[3806].speaker SPEAKER_24
transcript.pyannote[3806].start 23963.22284375
transcript.pyannote[3806].end 23963.50971875
transcript.pyannote[3807].speaker SPEAKER_24
transcript.pyannote[3807].start 23963.71221875
transcript.pyannote[3807].end 23968.26846875
transcript.pyannote[3808].speaker SPEAKER_26
transcript.pyannote[3808].start 23968.26846875
transcript.pyannote[3808].end 23968.28534375
transcript.pyannote[3809].speaker SPEAKER_24
transcript.pyannote[3809].start 23969.53409375
transcript.pyannote[3809].end 23969.97284375
transcript.pyannote[3810].speaker SPEAKER_26
transcript.pyannote[3810].start 23969.97284375
transcript.pyannote[3810].end 23971.76159375
transcript.pyannote[3811].speaker SPEAKER_26
transcript.pyannote[3811].start 23972.90909375
transcript.pyannote[3811].end 23977.00971875
transcript.pyannote[3812].speaker SPEAKER_26
transcript.pyannote[3812].start 23977.66784375
transcript.pyannote[3812].end 23981.95409375
transcript.pyannote[3813].speaker SPEAKER_26
transcript.pyannote[3813].start 23982.17346875
transcript.pyannote[3813].end 23986.47659375
transcript.pyannote[3814].speaker SPEAKER_26
transcript.pyannote[3814].start 23986.74659375
transcript.pyannote[3814].end 23989.34534375
transcript.pyannote[3815].speaker SPEAKER_15
transcript.pyannote[3815].start 24005.17409375
transcript.pyannote[3815].end 24009.52784375
transcript.pyannote[3816].speaker SPEAKER_26
transcript.pyannote[3816].start 24010.62471875
transcript.pyannote[3816].end 24014.10096875
transcript.pyannote[3817].speaker SPEAKER_15
transcript.pyannote[3817].start 24011.01284375
transcript.pyannote[3817].end 24011.60346875
transcript.pyannote[3818].speaker SPEAKER_26
transcript.pyannote[3818].start 24014.15159375
transcript.pyannote[3818].end 24014.87721875
transcript.pyannote[3819].speaker SPEAKER_15
transcript.pyannote[3819].start 24014.82659375
transcript.pyannote[3819].end 24014.84346875
transcript.pyannote[3820].speaker SPEAKER_07
transcript.pyannote[3820].start 24014.84346875
transcript.pyannote[3820].end 24016.21034375
transcript.pyannote[3821].speaker SPEAKER_26
transcript.pyannote[3821].start 24015.18096875
transcript.pyannote[3821].end 24016.83471875
transcript.pyannote[3822].speaker SPEAKER_26
transcript.pyannote[3822].start 24017.40846875
transcript.pyannote[3822].end 24021.74534375
transcript.pyannote[3823].speaker SPEAKER_26
transcript.pyannote[3823].start 24028.03971875
transcript.pyannote[3823].end 24028.19159375
transcript.pyannote[3824].speaker SPEAKER_26
transcript.pyannote[3824].start 24028.20846875
transcript.pyannote[3824].end 24028.36034375
transcript.pyannote[3825].speaker SPEAKER_15
transcript.pyannote[3825].start 24029.18721875
transcript.pyannote[3825].end 24029.87909375
transcript.pyannote[3826].speaker SPEAKER_26
transcript.pyannote[3826].start 24030.16596875
transcript.pyannote[3826].end 24030.52034375
transcript.pyannote[3827].speaker SPEAKER_15
transcript.pyannote[3827].start 24032.35971875
transcript.pyannote[3827].end 24033.82784375
transcript.pyannote[3828].speaker SPEAKER_15
transcript.pyannote[3828].start 24034.57034375
transcript.pyannote[3828].end 24039.16034375
transcript.pyannote[3829].speaker SPEAKER_15
transcript.pyannote[3829].start 24040.13909375
transcript.pyannote[3829].end 24041.69159375
transcript.pyannote[3830].speaker SPEAKER_15
transcript.pyannote[3830].start 24042.01221875
transcript.pyannote[3830].end 24043.10909375
transcript.pyannote[3831].speaker SPEAKER_15
transcript.pyannote[3831].start 24047.80034375
transcript.pyannote[3831].end 24049.42034375
transcript.pyannote[3832].speaker SPEAKER_26
transcript.pyannote[3832].start 24049.63971875
transcript.pyannote[3832].end 24051.09096875
transcript.pyannote[3833].speaker SPEAKER_26
transcript.pyannote[3833].start 24052.40721875
transcript.pyannote[3833].end 24053.40284375
transcript.pyannote[3834].speaker SPEAKER_15
transcript.pyannote[3834].start 24056.50784375
transcript.pyannote[3834].end 24057.35159375
transcript.pyannote[3835].speaker SPEAKER_15
transcript.pyannote[3835].start 24062.05971875
transcript.pyannote[3835].end 24072.47159375
transcript.pyannote[3836].speaker SPEAKER_15
transcript.pyannote[3836].start 24072.96096875
transcript.pyannote[3836].end 24079.96409375
transcript.pyannote[3837].speaker SPEAKER_15
transcript.pyannote[3837].start 24080.30159375
transcript.pyannote[3837].end 24100.16346875
transcript.pyannote[3838].speaker SPEAKER_15
transcript.pyannote[3838].start 24100.31534375
transcript.pyannote[3838].end 24103.26846875
transcript.pyannote[3839].speaker SPEAKER_15
transcript.pyannote[3839].start 24103.52159375
transcript.pyannote[3839].end 24112.43159375
transcript.pyannote[3840].speaker SPEAKER_15
transcript.pyannote[3840].start 24112.76909375
transcript.pyannote[3840].end 24116.97096875
transcript.pyannote[3841].speaker SPEAKER_15
transcript.pyannote[3841].start 24117.56159375
transcript.pyannote[3841].end 24123.04596875
transcript.pyannote[3842].speaker SPEAKER_23
transcript.pyannote[3842].start 24125.12159375
transcript.pyannote[3842].end 24143.04284375
transcript.pyannote[3843].speaker SPEAKER_12
transcript.pyannote[3843].start 24133.77846875
transcript.pyannote[3843].end 24133.96409375
transcript.pyannote[3844].speaker SPEAKER_08
transcript.pyannote[3844].start 24133.96409375
transcript.pyannote[3844].end 24134.92596875
transcript.pyannote[3845].speaker SPEAKER_23
transcript.pyannote[3845].start 24143.39721875
transcript.pyannote[3845].end 24154.09596875
transcript.pyannote[3846].speaker SPEAKER_15
transcript.pyannote[3846].start 24152.34096875
transcript.pyannote[3846].end 24190.07346875
transcript.pyannote[3847].speaker SPEAKER_15
transcript.pyannote[3847].start 24190.32659375
transcript.pyannote[3847].end 24191.99721875
transcript.pyannote[3848].speaker SPEAKER_15
transcript.pyannote[3848].start 24192.16596875
transcript.pyannote[3848].end 24199.81034375
transcript.pyannote[3849].speaker SPEAKER_15
transcript.pyannote[3849].start 24199.82721875
transcript.pyannote[3849].end 24199.84409375
transcript.pyannote[3850].speaker SPEAKER_15
transcript.pyannote[3850].start 24200.02971875
transcript.pyannote[3850].end 24202.94909375
transcript.pyannote[3851].speaker SPEAKER_15
transcript.pyannote[3851].start 24203.26971875
transcript.pyannote[3851].end 24236.14221875
transcript.pyannote[3852].speaker SPEAKER_23
transcript.pyannote[3852].start 24237.52596875
transcript.pyannote[3852].end 24244.44471875
transcript.pyannote[3853].speaker SPEAKER_23
transcript.pyannote[3853].start 24244.59659375
transcript.pyannote[3853].end 24247.09409375
transcript.pyannote[3854].speaker SPEAKER_23
transcript.pyannote[3854].start 24247.53284375
transcript.pyannote[3854].end 24249.74346875
transcript.pyannote[3855].speaker SPEAKER_23
transcript.pyannote[3855].start 24250.31721875
transcript.pyannote[3855].end 24256.05471875
transcript.pyannote[3856].speaker SPEAKER_23
transcript.pyannote[3856].start 24256.13909375
transcript.pyannote[3856].end 24260.07096875
transcript.pyannote[3857].speaker SPEAKER_15
transcript.pyannote[3857].start 24259.80096875
transcript.pyannote[3857].end 24263.49659375
transcript.pyannote[3858].speaker SPEAKER_23
transcript.pyannote[3858].start 24262.39971875
transcript.pyannote[3858].end 24267.36096875
transcript.pyannote[3859].speaker SPEAKER_23
transcript.pyannote[3859].start 24267.58034375
transcript.pyannote[3859].end 24283.29096875
transcript.pyannote[3860].speaker SPEAKER_23
transcript.pyannote[3860].start 24283.44284375
transcript.pyannote[3860].end 24290.83409375
transcript.pyannote[3861].speaker SPEAKER_15
transcript.pyannote[3861].start 24290.26034375
transcript.pyannote[3861].end 24295.57596875
transcript.pyannote[3862].speaker SPEAKER_23
transcript.pyannote[3862].start 24296.08221875
transcript.pyannote[3862].end 24304.38471875
transcript.pyannote[3863].speaker SPEAKER_23
transcript.pyannote[3863].start 24304.51971875
transcript.pyannote[3863].end 24309.04221875
transcript.pyannote[3864].speaker SPEAKER_23
transcript.pyannote[3864].start 24309.37971875
transcript.pyannote[3864].end 24311.45534375
transcript.pyannote[3865].speaker SPEAKER_15
transcript.pyannote[3865].start 24310.39221875
transcript.pyannote[3865].end 24312.04596875
transcript.pyannote[3866].speaker SPEAKER_15
transcript.pyannote[3866].start 24313.31159375
transcript.pyannote[3866].end 24330.97971875
transcript.pyannote[3867].speaker SPEAKER_15
transcript.pyannote[3867].start 24331.46909375
transcript.pyannote[3867].end 24337.64534375
transcript.pyannote[3868].speaker SPEAKER_15
transcript.pyannote[3868].start 24337.69596875
transcript.pyannote[3868].end 24352.12409375
transcript.pyannote[3869].speaker SPEAKER_15
transcript.pyannote[3869].start 24352.61346875
transcript.pyannote[3869].end 24355.33034375
transcript.pyannote[3870].speaker SPEAKER_23
transcript.pyannote[3870].start 24357.69284375
transcript.pyannote[3870].end 24371.76659375
transcript.pyannote[3871].speaker SPEAKER_23
transcript.pyannote[3871].start 24371.98596875
transcript.pyannote[3871].end 24375.20909375
transcript.pyannote[3872].speaker SPEAKER_23
transcript.pyannote[3872].start 24375.54659375
transcript.pyannote[3872].end 24381.55409375
transcript.pyannote[3873].speaker SPEAKER_15
transcript.pyannote[3873].start 24381.03096875
transcript.pyannote[3873].end 24383.27534375
transcript.pyannote[3874].speaker SPEAKER_23
transcript.pyannote[3874].start 24382.70159375
transcript.pyannote[3874].end 24386.32971875
transcript.pyannote[3875].speaker SPEAKER_15
transcript.pyannote[3875].start 24386.32971875
transcript.pyannote[3875].end 24386.34659375
transcript.pyannote[3876].speaker SPEAKER_15
transcript.pyannote[3876].start 24386.66721875
transcript.pyannote[3876].end 24404.89221875
transcript.pyannote[3877].speaker SPEAKER_16
transcript.pyannote[3877].start 24408.67221875
transcript.pyannote[3877].end 24424.48409375
transcript.pyannote[3878].speaker SPEAKER_15
transcript.pyannote[3878].start 24424.68659375
transcript.pyannote[3878].end 24424.75409375
transcript.pyannote[3879].speaker SPEAKER_16
transcript.pyannote[3879].start 24424.75409375
transcript.pyannote[3879].end 24424.77096875
transcript.pyannote[3880].speaker SPEAKER_15
transcript.pyannote[3880].start 24424.77096875
transcript.pyannote[3880].end 24424.85534375
transcript.pyannote[3881].speaker SPEAKER_15
transcript.pyannote[3881].start 24424.99034375
transcript.pyannote[3881].end 24426.93096875
transcript.pyannote[3882].speaker SPEAKER_23
transcript.pyannote[3882].start 24428.77034375
transcript.pyannote[3882].end 24450.25221875
transcript.pyannote[3883].speaker SPEAKER_06
transcript.pyannote[3883].start 24444.63284375
transcript.pyannote[3883].end 24444.66659375
transcript.pyannote[3884].speaker SPEAKER_15
transcript.pyannote[3884].start 24444.66659375
transcript.pyannote[3884].end 24445.20659375
transcript.pyannote[3885].speaker SPEAKER_15
transcript.pyannote[3885].start 24449.76284375
transcript.pyannote[3885].end 24454.80846875
transcript.pyannote[3886].speaker SPEAKER_15
transcript.pyannote[3886].start 24455.23034375
transcript.pyannote[3886].end 24459.12846875
transcript.pyannote[3887].speaker SPEAKER_23
transcript.pyannote[3887].start 24460.95096875
transcript.pyannote[3887].end 24461.59221875
transcript.pyannote[3888].speaker SPEAKER_15
transcript.pyannote[3888].start 24463.97159375
transcript.pyannote[3888].end 24484.82909375
transcript.pyannote[3889].speaker SPEAKER_15
transcript.pyannote[3889].start 24484.99784375
transcript.pyannote[3889].end 24509.51721875
transcript.pyannote[3890].speaker SPEAKER_23
transcript.pyannote[3890].start 24510.29346875
transcript.pyannote[3890].end 24524.83971875
transcript.pyannote[3891].speaker SPEAKER_15
transcript.pyannote[3891].start 24523.60784375
transcript.pyannote[3891].end 24523.77659375
transcript.pyannote[3892].speaker SPEAKER_15
transcript.pyannote[3892].start 24523.84409375
transcript.pyannote[3892].end 24525.27846875
transcript.pyannote[3893].speaker SPEAKER_23
transcript.pyannote[3893].start 24525.27846875
transcript.pyannote[3893].end 24535.53846875
transcript.pyannote[3894].speaker SPEAKER_23
transcript.pyannote[3894].start 24535.77471875
transcript.pyannote[3894].end 24552.43034375
transcript.pyannote[3895].speaker SPEAKER_15
transcript.pyannote[3895].start 24552.80159375
transcript.pyannote[3895].end 24563.92221875
transcript.pyannote[3896].speaker SPEAKER_23
transcript.pyannote[3896].start 24566.95971875
transcript.pyannote[3896].end 24567.17909375
transcript.pyannote[3897].speaker SPEAKER_23
transcript.pyannote[3897].start 24569.01846875
transcript.pyannote[3897].end 24573.42284375
transcript.pyannote[3898].speaker SPEAKER_15
transcript.pyannote[3898].start 24572.47784375
transcript.pyannote[3898].end 24588.52596875
transcript.pyannote[3899].speaker SPEAKER_23
transcript.pyannote[3899].start 24574.18221875
transcript.pyannote[3899].end 24575.46471875
transcript.pyannote[3900].speaker SPEAKER_23
transcript.pyannote[3900].start 24575.98784375
transcript.pyannote[3900].end 24576.35909375
transcript.pyannote[3901].speaker SPEAKER_16
transcript.pyannote[3901].start 24589.94346875
transcript.pyannote[3901].end 24602.04284375
transcript.pyannote[3902].speaker SPEAKER_16
transcript.pyannote[3902].start 24602.05971875
transcript.pyannote[3902].end 24605.13096875
transcript.pyannote[3903].speaker SPEAKER_16
transcript.pyannote[3903].start 24605.40096875
transcript.pyannote[3903].end 24624.30096875
transcript.pyannote[3904].speaker SPEAKER_15
transcript.pyannote[3904].start 24624.43596875
transcript.pyannote[3904].end 24628.38471875
transcript.pyannote[3905].speaker SPEAKER_26
transcript.pyannote[3905].start 24631.13534375
transcript.pyannote[3905].end 24639.21846875
transcript.pyannote[3906].speaker SPEAKER_26
transcript.pyannote[3906].start 24639.91034375
transcript.pyannote[3906].end 24652.11096875
transcript.pyannote[3907].speaker SPEAKER_26
transcript.pyannote[3907].start 24652.31346875
transcript.pyannote[3907].end 24654.15284375
transcript.pyannote[3908].speaker SPEAKER_26
transcript.pyannote[3908].start 24654.89534375
transcript.pyannote[3908].end 24663.50159375
transcript.pyannote[3909].speaker SPEAKER_26
transcript.pyannote[3909].start 24663.88971875
transcript.pyannote[3909].end 24667.41659375
transcript.whisperx[0].start 790.674
transcript.whisperx[0].end 791.544
transcript.whisperx[0].text 谢谢观看 欢迎订阅我的频道
transcript.whisperx[1].start 948.49
transcript.whisperx[1].end 952.142
transcript.whisperx[1].text 谢谢观看 欢迎订阅
transcript.whisperx[2].start 1117.995
transcript.whisperx[2].end 1118.916
transcript.whisperx[2].text MING PAO CANADA MANGA
transcript.whisperx[3].start 1272.472
transcript.whisperx[3].end 1272.812
transcript.whisperx[3].text 谢谢观看
transcript.whisperx[4].start 1449.36
transcript.whisperx[4].end 1450.691
transcript.whisperx[4].text MING PAO CANADA MANGA
transcript.whisperx[5].start 1493.382
transcript.whisperx[5].end 1496.527
transcript.whisperx[5].text MING PAO CANADA MANGA
transcript.whisperx[6].start 1540.357
transcript.whisperx[6].end 1541.012
transcript.whisperx[6].text 谢谢观看,下次见!
transcript.whisperx[7].start 1580.503
transcript.whisperx[7].end 1581.578
transcript.whisperx[7].text MING PAO CANADA MANGA
transcript.whisperx[8].start 1849.497
transcript.whisperx[8].end 1867.848
transcript.whisperx[8].text 感谢观看
transcript.whisperx[9].start 1903.063
transcript.whisperx[9].end 1927.585
transcript.whisperx[9].text 響鐘
transcript.whisperx[10].start 1975.7
transcript.whisperx[10].end 1979.212
transcript.whisperx[10].text 谢谢观看
transcript.whisperx[11].start 2013.669
transcript.whisperx[11].end 2013.75
transcript.whisperx[11].text 谢谢大家
transcript.whisperx[12].start 2237.927
transcript.whisperx[12].end 2239.989
transcript.whisperx[12].text 由 Amara.org 社群提供的字幕
transcript.whisperx[13].start 2275.998
transcript.whisperx[13].end 2276.627
transcript.whisperx[13].text 谢谢观看 欢迎订阅我的频道
transcript.whisperx[14].start 2379.246
transcript.whisperx[14].end 2388.47
transcript.whisperx[14].text 好我們現在開會請組密報告出席人數報告聯席會出席委員30人已足法定人數現在開會進行討論事項請宣讀
transcript.whisperx[15].start 2393.374
transcript.whisperx[15].end 2413.659
transcript.whisperx[15].text 討論事項 審查一 行政案行情審議 外國專業人才延攬及雇用法修正草案二 本用人何欣淳等19人擬據外國專業人才延攬及雇用法第12條及第14條調研修正草案三 本用人陳金飛等16人擬據外國專業人才延攬及雇用法第4條第6條及第14條調研修正草案
transcript.whisperx[16].start 2414.42
transcript.whisperx[16].end 2419.391
transcript.whisperx[16].text 4.本院委員蔡依儀等17人拟據《外國專業人才延攬及雇用法修正查案》5.
transcript.whisperx[17].start 2419.391
transcript.whisperx[17].end 2424.602
transcript.whisperx[17].text 本院委員羅美玲等16人拟據《外國專業人才延攬及雇用法修正查案》宣布完畢
transcript.whisperx[18].start 2426.616
transcript.whisperx[18].end 2448.496
transcript.whisperx[18].text 本日議程所列討論事項外國專業人才廉覽及僱用法修正草案行政院及委員提案版本共計有五個版本那我們首先介紹在場的委員跟列席的機關首長那首先有我們邱毅寅邱委員好 謝謝還有我們羅美玲羅委員
transcript.whisperx[19].start 2451.169
transcript.whisperx[19].end 2478.169
transcript.whisperx[19].text 好那我們今天的與會的機關首長由我們國家發展委員會主任委員劉靜清劉竹偉行政院國家發展基金管理會代理執行秘書葉淑芳葉秘書執行秘書葉子密好我們經濟部政務次長江文洛江次長
transcript.whisperx[20].start 2482.165
transcript.whisperx[20].end 2497.971
transcript.whisperx[20].text 好內政部合作及人民團體司副司長陳嘉隆陳副司長好外交部領事事務局副組長蕭福股蕭副組長謝謝財政部稅副署副署長倪立新倪副署長好謝謝
transcript.whisperx[21].start 2508.567
transcript.whisperx[21].end 2523.592
transcript.whisperx[21].text 教育部國際教育師代理副司長藍仙茜法務部法制司檢察官楊時宇謝謝勞動部勞動福祉退休師專門委員楊梅盈好
transcript.whisperx[22].start 2534.074
transcript.whisperx[22].end 2563.123
transcript.whisperx[22].text 衛生福利部長期照顧師師長祝劍芳祖師長文化部綜合規劃師專門委員王瑞文數位發展部數位產業署檢任計政邱季賢謝謝國家科學及技術委員會中部科學園區管理局主任秘書江曾三江曾斌 不好意思
transcript.whisperx[23].start 2564.666
transcript.whisperx[23].end 2578.352
transcript.whisperx[23].text 大陸委員會文教處副處長陳威豪金融監督管理委員會專門委員葛應濤橋屋委員會橋深處檢任視察李美芝
transcript.whisperx[24].start 2584.943
transcript.whisperx[24].end 2599.504
transcript.whisperx[24].text 好那我們以上的各機關列席人員請參閱名單那我們現在進行提案委員的說明提案要旨那首先先請我們羅美玲委員說明提案要旨
transcript.whisperx[25].start 2609.484
transcript.whisperx[25].end 2627.784
transcript.whisperx[25].text 謝謝主席大家早安為了因應科技跟產業快速的發展以及台灣日益嚴峻的人口結構的轉變還有人力的缺口所以本期提案修正外國專業人才延攬及僱用法期望透過更有台性的制度吸引更多優質的國際人才來到台灣
transcript.whisperx[26].start 2629.446
transcript.whisperx[26].end 2655.607
transcript.whisperx[26].text 提升本国的这个产业的整体竞争力那首先呢我们建议修正第四条删除现行条文中对特定专业领域的具体列举那过去这些固定的列举方式呢会造成制度呢无法及时回应新兴产业或跨领域人才的需求甚至造成引财受阻因此呢我们期盼未来呢改以主管机关依实际需求弹性认定
transcript.whisperx[27].start 2655.987
transcript.whisperx[27].end 2677.219
transcript.whisperx[27].text 以建立一套更有效率符合需求的制度那第二呢為了因應國際高等教育的多元發展也避免我們錯失優秀青年才俊來台工作的契機所以本席呢您修正這個條文的第六條學歷的這個限制未來凡取得世界大學一定排名之大學
transcript.whisperx[28].start 2677.699
transcript.whisperx[28].end 2698.369
transcript.whisperx[28].text 及有特殊專業優勢之學院的學士以上學位者皆可申請來臺從事專業工作那第三呢針對實務上部分申請申請人的選取的就業金卡可是那是因為其他的原因呢被限制入境導致這個申請失效那我們為了避免這個資源的浪費
transcript.whisperx[29].start 2700.05
transcript.whisperx[29].end 2722.699
transcript.whisperx[29].text 所以我們在第九條有明定主管機關應於核發前主動查核限制入境的情形那這樣呢就可以強化審查程序的一致性也兼顧申請人的權益跟台灣國安的需求那第四呢我們進一步放寬外國特定專業人才本人及其一親親屬申請永居的條件包括了擴大
transcript.whisperx[30].start 2724.319
transcript.whisperx[30].end 2746.897
transcript.whisperx[30].text 居留期间的折抵范围明定在我国就读副学士以上学位者就学期间可列入申请永居所需的居留年限以其鼓励外国人才来台长期的投入那最后呢本席也提出凡在台居住满十年并取得永居的外国专业人才特定专业人才高阶专业人才及其亲属
transcript.whisperx[31].start 2747.577
transcript.whisperx[31].end 2764.753
transcript.whisperx[31].text 得適用部分身心障礙照顧與長照等社會福利的資源那這些外專人才不只是專業技術的提供者更是在台灣落地生根組織家庭撫養子女參與社區的新住民那他們的背景為台灣社會帶來了更多元的風貌
transcript.whisperx[32].start 2765.293
transcript.whisperx[32].end 2789.981
transcript.whisperx[32].text 也讓我們的社會更加的開放跟有韌性因此我們不應該只看他們的勞動的貢獻更應該提供合理的社會支持跟權益的保障讓他們真正感受到台灣不只是工作的場所更是可以安身立命的家所以在這裡可能請各位委員支持讓我們攜手打造一個不僅具備國際競爭力更具包容心跟人情味的台灣好 以上謝謝
transcript.whisperx[33].start 2795.336
transcript.whisperx[33].end 2806.78
transcript.whisperx[33].text 好 謝謝羅美玲委員那接下來我們請國家發展委員會劉靜卿主任委員就提案進行報告請主委
transcript.whisperx[34].start 2816.674
transcript.whisperx[34].end 2833.045
transcript.whisperx[34].text 主席各位委員先進大家早首先感謝各位委員先進對我國延攬流財專用法的議題重視與關心那今天我們就針對本院這個行政院提出的外國專業人才
transcript.whisperx[35].start 2834.606
transcript.whisperx[35].end 2853.545
transcript.whisperx[35].text 延攬及僱傭法修正案提出說明同時也針對大院何新成委員等19人陳委員亭飛等16人蔡委員易宇等17人羅委員美玲等16人分別凝聚之修正案我們進行以下的說明
transcript.whisperx[36].start 2854.846
transcript.whisperx[36].end 2879.54
transcript.whisperx[36].text 行政院在我們國家這幾年面臨的就是人口的短缺加上國際的競爭激烈全球都在進行人才的競爭我們也基於這樣的一個競爭越來越激烈的狀態下加上我們鄰近的日本已經修法兩次韓國也修法所以我們也特別修法希望能增加我國原來人才的競爭力
transcript.whisperx[37].start 2881.721
transcript.whisperx[37].end 2908.108
transcript.whisperx[37].text 這個修法的內容我們本次修法的幾個重點第一個重點是第一開放自由工作對象提升企業聘僱意願及來台誘因我們過去要來台灣的話必須要有兩年工作經驗才能申請來台灣我們這次是參考了英國的做法我們放寬全球前1000大大學畢業生來台工作免兩年工作經驗
transcript.whisperx[38].start 2909.008
transcript.whisperx[38].end 2930.677
transcript.whisperx[38].text 那其實台灣目前來講全世界有三個針對這個大學排名的這個一千大排名的這個ranking的資料那我們是透過教育部針對這三個中整出來一個教育部認定的一千大那這個是參考了有一個公正的標準可做參考那目前呢
transcript.whisperx[39].start 2931.917
transcript.whisperx[39].end 2948.878
transcript.whisperx[39].text 我們也會開放前200大的大學來申請個人工作許可那這些是比較更加優秀因為我國目前在200大裡面只有一所或兩所的學校那所以這些都是國際比較基優的人才我們希望吸引他們過來工作
transcript.whisperx[40].start 2950.7
transcript.whisperx[40].end 2971.837
transcript.whisperx[40].text 那另外我們也針對這些人才我們也放寬起配偶可以在這個過程中一清那這個一清過程中也可以工作那增加我國的就業人口數原因是我們推估在2030年我們人口的缺口我們工作人口的缺口數是48萬那本國畢業生只能提供到12萬
transcript.whisperx[41].start 2972.938
transcript.whisperx[41].end 2996.515
transcript.whisperx[41].text 那我們整理缺口是30萬那白領的部分缺口是12萬所以我們必須盡快來解決這樣的一個數字那再來我們是延長數位牧民的簽證停留期間我們希望積極延攬數位牧民來到台灣那全球目前有3000多萬的數位牧民那普遍屬於高所得有能力在家的數位工作者那目前台灣目前按照數位牧民網站來講目前有將近3000人在台灣
transcript.whisperx[42].start 3002.719
transcript.whisperx[42].end 3014.043
transcript.whisperx[42].text 那這些人都是用短期簽證就是我國現在的自由簽證最多可以六個月那再來第二個事情是他申請簽證一次三個月所以目前是用這樣的方式進來那這樣的方式並不具備競爭力相較我們整個東南亞國家
transcript.whisperx[43].start 3020.865
transcript.whisperx[43].end 3042.15
transcript.whisperx[43].text 整個比較下來我們建議延長至兩年增加誘因讓他們可以來久一點同時我們也希望他們可以長期的留下來再來是我們放寬永久居留規定提高留台居留的意願我們這是參考日本跟新加坡等地的做法我們希望提高更高的誘因
transcript.whisperx[44].start 3043.39
transcript.whisperx[44].end 3069.878
transcript.whisperx[44].text 讓這些專業特定專業人士呢可以盡快取得永久居留那我們的標準也是參考了日本我們目前訂定是以600萬的所得為基準那另外我們建議我們也希望能夠放寬這個學歷低減那尤其是對於副學士我們考量到專業技術人才也是非常重要的一個一環所以我們也特別建議把這個地方納入進來
transcript.whisperx[45].start 3072.239
transcript.whisperx[45].end 3088.218
transcript.whisperx[45].text 再來是我們提高勞動及社會權益保障優化我國攬財環境那我們考慮我們整個整體的這個這個國家吸引力裡面我們的社會保險跟我們的這個健保是一個很好的
transcript.whisperx[46].start 3089.119
transcript.whisperx[46].end 3103.977
transcript.whisperx[46].text 機會我們也希望利用這些方式讓他們留下來那尤其是過去這些來工作的這些專業人士他的他的勞退只能使用救治就是由雇主負擔但是呢當這個人換了工作他無法帶走他所累積的
transcript.whisperx[47].start 3105.478
transcript.whisperx[47].end 3125.197
transcript.whisperx[47].text 這個自己存的錢那我們希望他變到勞退心智的話就可以帶走他的退出帳戶那可以增加他們久留台灣的誘因那另外我們希望提供滿10年的人能夠得到一定的照顧因為他對台灣有一定的貢獻那對於委員的提案我做簡易的報告與說明
transcript.whisperx[48].start 3125.877
transcript.whisperx[48].end 3148.32
transcript.whisperx[48].text 在何委員心存等19人提出的部分第一條修正條文第12條跟行政院的版本相同我們建議建請支持行政院的提案那對於這個學歷折抵的部分考量到副學士也是我國培育人才跟我們需要的人才那他過去是橋接到這個
transcript.whisperx[49].start 3150.001
transcript.whisperx[49].end 3169.119
transcript.whisperx[49].text 高職到大學中間很重要的橋樑我們建議能夠支持行政院的版本也給予一年的折抵那對於陳庭園委員等16人的這個延攬的專案裡面修正條文第4條第4條的部分是希望增加彈性那這個彈性在我們原來
transcript.whisperx[50].start 3170.6
transcript.whisperx[50].end 3192.231
transcript.whisperx[50].text 我們自己我們的法案裡面也有一個其他喔所以呢我們建議可以支持那個行政院的版本喔那對於這個修正條文第6條對於世界頂尖大學修正委的排名1000大跟本院跟行政院的版本一樣我們建議也請支持我們的版本那修正條文第14條對學歷的折抵喔那目前也是
transcript.whisperx[51].start 3196.853
transcript.whisperx[51].end 3205.083
transcript.whisperx[51].text 跟本院一樣我們就建議支持行政院的版本那對於蔡委員易宇等17人提出外國專業人才的修正案裡面那全案修正裡面有第22條的租稅優惠那我們尊重委員的提案原因是其實我們目前是年輕300萬的門檻
transcript.whisperx[52].start 3217.357
transcript.whisperx[52].end 3241.736
transcript.whisperx[52].text 委員建議到200萬我們的看法是這些人沒有進來我們一毛錢也收不到那進來的反而我們有機會收到他的稅那第二個部分是考慮到跟新加坡香港的所得稅率比的話可以增加我國的競爭力但是呢這個決策單位還是在財政部所以我們還是我們建議會同財政部去研議是否有更好的方案那
transcript.whisperx[53].start 3242.757
transcript.whisperx[53].end 3271.649
transcript.whisperx[53].text 也謝謝委員那再來是羅委員美林16人等提出的這個修正案那我們這個部分基本上第一條其中第一項是在希望是在我國領域特殊專長那也是提供我們未來決策的彈性那因為這個彈性在我們原條文就有其他領域那其他領域本身就具彈性所以我們也是建議支持行政院的版本那對於這個一千大的部分
transcript.whisperx[54].start 3272.549
transcript.whisperx[54].end 3300.57
transcript.whisperx[54].text 那針對這個獨立學院的部分因為獨立學院並沒有一個全球公正的一個排行那可能會有很多的認定爭議跟不確定性他不像全球大學有三個三個排行可以拿來做參考跟認定所以我們是建議從長計議這件事情那再來就業金卡出現不符資格者的部分我們的查核原來其實
transcript.whisperx[55].start 3301.471
transcript.whisperx[55].end 3320.602
transcript.whisperx[55].text 我們在電腦系統就有這個拒絕入境的部分那針對以樂樂法例這個案子來講當時在移民署的承辦人員在看到這個註記先知入境的時候他自己沒有自己疏忽了然後就造成了這個核發這個金卡額沒有
transcript.whisperx[56].start 3323.242
transcript.whisperx[56].end 3336.01
transcript.whisperx[56].text 這個對這個已經限制入境的人核發金卡那現在電腦系統已經改成防呆的部分就是當已被注記他就沒有辦法去核發金卡也就是說系統上已經自動
transcript.whisperx[57].start 3336.97
transcript.whisperx[57].end 3347.545
transcript.whisperx[57].text 擋掉了就不會再有人為的疏失所以我們可以建議是否就以行政院的版本作為提案那對於修正條文第14條第第20條的部分那這個保險理賠的部分呢
transcript.whisperx[58].start 3354.792
transcript.whisperx[58].end 3372.963
transcript.whisperx[58].text 這個部分呢因為過去我自己也外派在國外過其實我們都會考慮到醫療我們大部分都從台灣去保險那有病我們就回到台灣來那尤其就我了解到中國對岸去的特別喜歡在台灣保險然後回來那這個就是因為大家都有語言跟信任的問題
transcript.whisperx[59].start 3373.903
transcript.whisperx[59].end 3389.758
transcript.whisperx[59].text 那我們是建議就是說如果他在該國已經有保險的我們還是尊重他的保險但是沒有保險的部分我們就會依照委員的建議要求他們在台灣保險這是我們的看法那以上報告謝謝各位委員的聆聽謝謝好謝謝劉主委
transcript.whisperx[60].start 3395.888
transcript.whisperx[60].end 3422.905
transcript.whisperx[60].text 那其他單位的書面報告請委員自行參閱並列入公報記錄我們現在進行詢答委員詢答前原理做以下宣告每位委員發言時間聯席委員會委員5分鐘必要時的延長2分鐘非聯席會委員4分鐘上午11點截止發言登記我們現在首先請邱益穎委員發言
transcript.whisperx[61].start 3432.267
transcript.whisperx[61].end 3434.551
transcript.whisperx[61].text 謝主席我請一下這個劉主委國發會好請國發會劉主委
transcript.whisperx[62].start 3443.86
transcript.whisperx[62].end 3465.371
transcript.whisperx[62].text 主委很早主委早主委我想我們今天在討論這個國外專業人才纜財的這個延攬跟僱用的修正草案那這個草案其實我們經過很多各種不同的版本各種不同的討論所以你們有沒有稍微去做過一下盤整包括做過一些整理到底從這個法案
transcript.whisperx[63].start 3466.411
transcript.whisperx[63].end 3495.692
transcript.whisperx[63].text 第一次三讀通過一直到現在它的成效到底如何它的KPI是怎樣那我們現在要提出來的這一些修法我想每一個人都希望能夠多延攬一些外國人才我們都希望能夠放寬那到底你們有沒有去做過整理現行的規定對於國外人才到台灣來的誘因甚至方便度到底足不足我們如果這樣子修了之後
transcript.whisperx[64].start 3497.093
transcript.whisperx[64].end 3519.595
transcript.whisperx[64].text 你覺得會增加他們來台灣的機會會增加多少謝謝委員我們有做過統計我們到2025年的4月底外國專業人才得到有效許可的有55,677人那外國特定專業人才也累積了18,430人那留在台灣有多少
transcript.whisperx[65].start 3521.772
transcript.whisperx[65].end 3536.866
transcript.whisperx[65].text 留在台灣的能夠真的留下來的他可能申請來了一段時間就走還是說他來了之後他可以一直留在這裡跟公司在做互動比如說有可能從A公司到B公司這也是有可能啊留下來的會有多少
transcript.whisperx[66].start 3538.894
transcript.whisperx[66].end 3561.266
transcript.whisperx[66].text 你可能現在沒有數字啦這個主委您可以再回去稍微整理一下我其實比較想要知道就是說我們讓法令通過擴大我們放寬那真正能夠延攬到他們真的能夠把他們留在台灣的機率的這個數字是會有多少
transcript.whisperx[67].start 3562.592
transcript.whisperx[67].end 3585.36
transcript.whisperx[67].text 這些我不曉得你們有沒有算過包括就業金卡我們也一直在講就業金卡的申請過去就業金卡的申請也是手續繁複那我們現在也一再的在放寬這些限制那就業金卡申請到了之後這些申請就業金卡的人他有沒有辦法真的很安心的留在台灣工作就業
transcript.whisperx[68].start 3587.02
transcript.whisperx[68].end 3606.012
transcript.whisperx[68].text 這些數字你們到底有沒有那有沒有跟這些人做過比如說座談會啦或者是了解他們的需求或者是了解他們的困難度那作為我們未來在提案修正上面的一個很重要的參考指標所以我相信我這樣問您看起來
transcript.whisperx[69].start 3607.771
transcript.whisperx[69].end 3629.841
transcript.whisperx[69].text 好像並不是很清楚有有有 我跟您報告一下就業金卡的部分其實我們有做過統計我目前是13000多張的就業金卡那其中有48%目前是留在台灣那另外其中有將近3000多張是6個月沒有進出 剩下的都還會有
transcript.whisperx[70].start 3631.281
transcript.whisperx[70].end 3647.468
transcript.whisperx[70].text 進出的部分那我們特別檢討幾件事情所以你說留下來48%那還是不到那就沒有五成那是常駐留台那有一部分是travel base那六個月沒有往來就是六個月沒有再進出台灣的那大概有3600多位
transcript.whisperx[71].start 3649.309
transcript.whisperx[71].end 3675.456
transcript.whisperx[71].text 他是六個月沒有進出那這個有沒有辦法去了解到底為什麼我們其實有他是覺得台灣其實不太適合他的不太適合他的生存不太這整個工作環境他並不適應啦還是法條太多太繁雜其實我真的覺得我們很多的規定實在是太多太繁雜那搞到這一些這些申請就業金卡的人很多都是在美國長大或者是在其他歐美地區長大的
transcript.whisperx[72].start 3676.516
transcript.whisperx[72].end 3695.777
transcript.whisperx[72].text 他會覺得我都不知道要去找哪一條法條才能真正幫助到他我覺得這是我們在法令制定上面的一個困境我們總是希望能夠嚴格管理結果那個管理那個法條已經多如牛毛多到可能搞不好連你們自己都不知道要去依照哪一個法條去做申請
transcript.whisperx[73].start 3696.818
transcript.whisperx[73].end 3711.872
transcript.whisperx[73].text 所以我其實是比較建議我們在做放寬我當然支持所謂的專業人才的這個放寬但是在很多法條放寬的部分其實你們應該要去修正一些不要把那個法令的東西搞得太複雜
transcript.whisperx[74].start 3714.154
transcript.whisperx[74].end 3728.023
transcript.whisperx[74].text 這個是我期待國發會能夠去做一些統整真的能夠把好的人才帶進來台灣而且讓他願意留在台灣發展第二個主委要跟您談到人工智慧島
transcript.whisperx[75].start 3728.903
transcript.whisperx[75].end 3750.854
transcript.whisperx[75].text 的這個大政策 這個是未來國家的願景那這個過去國發會也講過說我們未來要在設定在2040年要達到15兆的產值人工智慧島跟剛剛我們提到的纜財其實它有一點異曲同步就是說它需要很多的人才庫
transcript.whisperx[76].start 3752.034
transcript.whisperx[76].end 3773.517
transcript.whisperx[76].text 對不對那人才的養成不是我今天推出這一個政策明天就會產出一頭拉股的AI人才出來那要人才的養成要從什麼時候開始培養要從什麼時候開始做要跟哪一些單位合作那我看到蕭副總統在今年的一月份
transcript.whisperx[77].start 3774.735
transcript.whisperx[77].end 3794.71
transcript.whisperx[77].text 他去參加這個AI人才高峰會他也特別提到這所謂的這些國發會提出了AI治理框架是不是我們應該要有一些跨部會的協同我覺得教育部是一個很重要的部會是的在我們的AI十大建設裡面有其中有人才是我們的數位基盤之一
transcript.whisperx[78].start 3796.011
transcript.whisperx[78].end 3814.569
transcript.whisperx[78].text 那這個部分會結合到國家人才競爭力跟教育部整合還有跟速發部經濟部在社會教育上的整合對好那所以在這一個部分到底國發會是主導的單位呢還是是教育部是主導的單位由誰來統整主導我昨天看到這一個新聞這個揮打
transcript.whisperx[79].start 3817.472
transcript.whisperx[79].end 3842.86
transcript.whisperx[79].text 要進駐北市科但是呢大家現在統整起來根據人力銀行的調查統整起來我們的AI人才是供不應求那所謂的AI人才供不應求那這個很可能你要從外面攬才進來那就牽涉到我們今天的修法夠不夠誘因讓這些人進來第二個就剛剛我跟您提到的AI人工智慧島我們自己去育成我們需要的人才
transcript.whisperx[80].start 3843.44
transcript.whisperx[80].end 3869.679
transcript.whisperx[80].text 把这些人才从台湾从高中国中国小大家开始培养起来那这一些整体的整个大的政策范围整个教育范围整个涵盖面是国发会会主导吗还是谁会来主导目前这整体的AI十大建设是由国发会提出所以由国发会来主导是已经确定了那这个人才的部分也会我们会来整合各部会的做法
transcript.whisperx[81].start 3870.659
transcript.whisperx[81].end 3899.162
transcript.whisperx[81].text 你們大概會從什麼時候開始做跟教育部的溝通協調比如說要如何往下扎根把這些整個AI的教育往下扎根那是什麼時候會開始 著手進行我們從去年其實就開始我們成立了一個12個部會的國家論財競爭力的這個會議那教育部長都會到那另外其實還有一塊剛剛委員特別提到的就是我們也發現一件事外國人進來以後我們沒有足夠的友善生活環境
transcript.whisperx[82].start 3899.722
transcript.whisperx[82].end 3921.847
transcript.whisperx[82].text 是所以我們也融合在雙語政策的部分我們跟外教育部我們兩邊合作我們是偏社會舉個例子我們會將來會讓55688有英文的讓外國人叫車比較方便那我們也會補助各個夜市我們跟地方政府合作去補助那我們會有各項活動包括醫院我們現在都已經有雙語那我們希望2030年有70%的地方
transcript.whisperx[83].start 3924.687
transcript.whisperx[83].end 3946.932
transcript.whisperx[83].text 像區公所之類的可以有英文服務所以我們都有一個計畫在把這個友善環境給打開那另外外國人有一個抱怨就是說他來到台灣他找不到一個community能夠去問東問西的所以我們也會建這個community在我們的Talent Taiwan的辦公室裡面所以我們希望把這個都做整體性的把它整理出來
transcript.whisperx[84].start 3947.58
transcript.whisperx[84].end 3974.193
transcript.whisperx[84].text 所以這個主委這個非常好啊這就我剛剛跟您提到就是說這些人來了之後到底政府有沒有去關心過他們我所謂的關心就是說你有沒有實際跟他們對談過了解他的生活需求是什麼他的困難點是什麼他覺得有哪一些東西是他可以在台灣貢獻或者是有哪一些東西他認為台灣其實在配套制度面上是可以在更精進可以做得更好
transcript.whisperx[85].start 3974.733
transcript.whisperx[85].end 3998.148
transcript.whisperx[85].text 然後讓這些人來到了台灣之後他是願意留在台灣願意生活在這裡的我們要把他當成是一家人所以您剛剛講的這個就是大概比較生活面的部分讓雙語讓英文進入到他的生活還有他們子女的就學也是比較繁殖的所以如果這些東西我大概比較期待就是說你們能夠
transcript.whisperx[86].start 3999.669
transcript.whisperx[86].end 4027.841
transcript.whisperx[86].text 儘早儘速把整體的AI人工智慧島的這一些整體的計畫包括向下扎根的教育的部分這個可能要教育部提出來但是我不知道教育部什麼時候會把這個部分完成但是我們期待這個部分應該是要開始趕快著手去進行這個已經其實我們在兩週前已經找教育部在談怎麼樣去去扎根我們的學校的AI跟文化教育
transcript.whisperx[87].start 4028.621
transcript.whisperx[87].end 4052.951
transcript.whisperx[87].text 我們就希望把這個部分做強化OK 好 謝謝謝謝委員好 謝謝邱映霖邱委員那我們下一位請萬美玲委員質詢好 謝謝主席 我們有請劉主委好 有請主委
transcript.whisperx[88].start 4062.342
transcript.whisperx[88].end 4087.01
transcript.whisperx[88].text 好 劉卓長 主委您知不知道我們現在全球生育率最低的全球生育率最低在哪裡嗎就我了解是韓國再來是我們韓國再來是我們 好但是我們根據美國中央情報局世界開曠2024年全球生育率統計每位台灣女性平均只生1.1個小孩有時候生育率1.1再度纏連了全球最低
transcript.whisperx[89].start 4087.85
transcript.whisperx[89].end 4097.095
transcript.whisperx[89].text 那麼我想我們政府其實在107年的7月我們有推出一個少死化對策的一個計畫那麼從107年到113年這個總預算經費高達了5026億喔要來改善少死化的問題那麼去年8月呢我們有再度修正計畫這個延後一年到114年並增加了1254億喔所以來到6280億喔那
transcript.whisperx[90].start 4112.262
transcript.whisperx[90].end 4118.615
transcript.whisperx[90].text 我們投入這麼多的這個這個經費預算進來計劃在走那為什麼我們的生育率還是全球倒數第一
transcript.whisperx[91].start 4120.013
transcript.whisperx[91].end 4142.552
transcript.whisperx[91].text 這個我們這個國會會有做過統計那三十歲以下沒有結婚對象的比例是非常高的那我們也透過教育部我想主委應該是這樣講啦這原因一定很多啦但是我們要去掌握嘛不管這個原因所佔的比例是多少但每一個原因我想應該要掌握我想會後這個主委去了解一下
transcript.whisperx[92].start 4143.413
transcript.whisperx[92].end 4163.852
transcript.whisperx[92].text 那但是我想投入這麼多的預算經費再下來了那今年2025年主委認為我們的生育率會不會再繼續纏連倒數第一目前就我了解少子化是我們陳時中委員現在正在訂114年到117年的四年計畫主委我只是問你說你覺得會還是不會繼續纏連這個倒數第一
transcript.whisperx[93].start 4168.496
transcript.whisperx[93].end 4172.119
transcript.whisperx[93].text 好我來告訴你好了我想要脫離這個倒數第一看起來其實並不樂觀啦因為我們來看到用數據說話我們內政部最新的統計今年的新生兒這個數量1月份的時候來到9495人
transcript.whisperx[94].start 4185.249
transcript.whisperx[94].end 4212.912
transcript.whisperx[94].text 2月1400人好 我們再看到到了5月呢來到了8433人這個是歷年單月新低歷年單月的新低而且這個整個出生人數曾下降的一個趨勢是非常明顯的那麼在過去這段時間當中我們甚至有兩個月低於9000人跟去年平均每個月都破萬人比較它是很顯著的其實就是很大的落差一直在往下所以我們看到
transcript.whisperx[95].start 4214.133
transcript.whisperx[95].end 4235.847
transcript.whisperx[95].text 如果现在来谈提高生育率短时间应该是没有办法解决我相信组委应该也认同所以现实的状况是我们在疫情过后这几年缺工非常非常的严重所以世界各国都已经开始进行人才争夺战了那么去年5月22号一样是在经济的联席的会议在这里那么我们寻答讨论过
transcript.whisperx[96].start 4236.607
transcript.whisperx[96].end 4255.376
transcript.whisperx[96].text 外國這個專業人才延攬及僱用法的修正草案在當時我們朝野一致認為政府應該是要更積極的向海外來延攬專業人才並增加人才留台的誘因嘛這點諸位認同沒有錯嘛對不對好那為什麼啊政院版的草案要延宕一年之久
transcript.whisperx[97].start 4258.419
transcript.whisperx[97].end 4277.956
transcript.whisperx[97].text 這個內部因為有很多的溝通跟協調因為牽扯的部會比較多啦那所以具體的原因您了解嗎那上一次過的時候是委員會過了但是在院裡面並沒有被討論所以我們這次在捐土好 主委總之啊這麼急迫的問題我們延宕了這樣一年的時間其實真的不應該啦好
transcript.whisperx[98].start 4278.737
transcript.whisperx[98].end 4294.782
transcript.whisperx[98].text 我们再来看到那媒体都有报道说在这一波人才竞逐当中其实我们是远远的在世界各国看起来我们都是落后的那主委有没有看过在瑞士洛桑管理学院发布2024年人才竞争力的排名你看过这份资料吗
transcript.whisperx[99].start 4296.175
transcript.whisperx[99].end 4308.549
transcript.whisperx[99].text 我沒有看過沒有 好我想台灣現在排名是第18名第18名略有進步一點點但是呢其實跟很多的國家比起來尤其跟我們自己亞洲看新加坡 香港其實我們都輸他所以我想我們現在
transcript.whisperx[100].start 4312.153
transcript.whisperx[100].end 4340.464
transcript.whisperx[100].text 其实在这些问题上面恐怕有很多的这些原因那当然包括我们在这些为什么会比较弱呢我们公共教育支出占GDP的比例其实也低劳动力成长率也低对外籍技术人才的吸引力也低生活成本等等很多的因素在所以我们今天来修外国人才延揽及雇佣办法我们现在是针对外籍技术人才的吸引力这个指标来看整体我想
transcript.whisperx[101].start 4341.204
transcript.whisperx[101].end 4362.248
transcript.whisperx[101].text 這個是只能提升人才的競爭力但是在攬財流財這個部分我們如果真的想要去提升人才競爭力的話恐怕還要整個政府跨部會來做所以我們也希望主委要再繼續加油更加的積極那麼同時我想等一下是不是能夠再請一下我們經濟部次長江次長主席
transcript.whisperx[102].start 4364.508
transcript.whisperx[102].end 4378.686
transcript.whisperx[102].text 來請江市長那麼去年我想我們吸引這個我們一直以來都有這個計畫我們還是請主委我們先稍等一下這個市長我想我們吸引外籍人士來台跟留才之外我們還有一個
transcript.whisperx[103].start 4379.127
transcript.whisperx[103].end 4396.498
transcript.whisperx[103].text 重要的重點是我們要防止台灣人才外流但是我們根據去年12月主計處發布的統計國人在2023年赴海外工作的人數高達62.1萬其中大專以上將近50萬人佔八成之多然後我們看到在疫情前
transcript.whisperx[104].start 4397.338
transcript.whisperx[104].end 4423.392
transcript.whisperx[104].text 其實陸續我們的人數大概都有70萬人其實在這個國外 海外的發展那我們要來防止我們人才外流其實我覺得國防會要再繼續努力好 我們來討論一件事情我們看到台積電現在宣布要到美國投資1650億美元那新建三座新晶園場然後兩座先進封裝設施還有一間是主要的研發中心
transcript.whisperx[105].start 4424.772
transcript.whisperx[105].end 4439.6
transcript.whisperx[105].text 我们来看了在2022年的时候我想我们这个次长一起台积电当时到这个美国凤凰城去设厂那当时我们的经济部长王美华说我们那个时候要外派将近500名的工程师三年的合约
transcript.whisperx[106].start 4440.62
transcript.whisperx[106].end 4456.318
transcript.whisperx[106].text 我來請教一下那個主委或者是次長都可以回答我們台積電現在要到美國看起來陸續要設置六個廠如果按照這樣很粗略的去算它那是不是代表我們要派可能陸續三千名的工程師到美國去會不會有這樣的狀況
transcript.whisperx[107].start 4460.351
transcript.whisperx[107].end 4485.231
transcript.whisperx[107].text 誰可以回答我從產業的角度來回答就這件事情來看會不會其實他也是他不會喔所以我們不會像之前這個台積電去鳳凰的設廠一項我們派了三百名公司五百名公司去第一個場的時候美國人是沒有經驗的他必須把有經驗的人派過去教導那坦白講我去過他裡面現場的我遇到的工程師大概都是有美國籍的有印度籍的有
transcript.whisperx[108].start 4485.691
transcript.whisperx[108].end 4512.989
transcript.whisperx[108].text 印尼幾個我今天提的是我們我今天提的倒不是世界各國去到那裡有多少人我提的是我們這邊的人才過去有沒有可能啊像上次我們一座廠我們就五百個人嘛那這一次有沒有可能因為六座廠陸續我們可不可能就是按照這個比例派了三千名公司去不會按照這個比例會不會這樣還是請次長回答一下任何公司一去一定是先把台灣懂的人去教教會了就會回來好那我接下來既然教會就回來我來請教一下那次長
transcript.whisperx[109].start 4514.332
transcript.whisperx[109].end 4541.784
transcript.whisperx[109].text 我們現在派去這500名工程師合約三年嘛那現在三年也要到了今年就要到了我們現在外派這些工程師都會回來嗎公司會做相關的調派但是其實在台灣台積電自己就有7萬名員工所以這個主要的人才還都是在台灣那這500名會回來嗎那你有沒有掌握說有多少名會回來這個必須要繼續跟問公司經濟部有掌握嗎
transcript.whisperx[110].start 4543.51
transcript.whisperx[110].end 4544.373
transcript.whisperx[110].text 國防會有掌握嗎這個我們不會掌握
transcript.whisperx[111].start 4548.567
transcript.whisperx[111].end 4562.616
transcript.whisperx[111].text 我們不會掌握嘛好 我想喔這個台積電到底有多少人我們這樣派出去會不會回來其實是很重要的我希望不管我們經濟部像之前問國科會也不知道國發會我覺得我們是要掌握的我們既不能保證我們到台會不會陸續外派我們又不能保證外派以後他們會不會回來那這無形當中就是我們重要人才的一個流失所以我們今天在討論國內人才這個問題我們要持續吸引國際人才來台
transcript.whisperx[112].start 4577.685
transcript.whisperx[112].end 4595.444
transcript.whisperx[112].text 怎麼留下來怎麼去培育他那我們的人出去以後怎麼樣會不會回來我覺得這是一個整體性的問題所以今天呢我們把這個問題點出來我們也希望各部會在我們人才流台以及會不會回來等等我們能夠做跨部會更精緻更詳細跨部會的來聯繫來討論好不好是好 謝謝
transcript.whisperx[113].start 4603.032
transcript.whisperx[113].end 4622.987
transcript.whisperx[113].text 好 謝謝萬美玲萬委員那下一位請葛如君委員詢答好 謝謝主席 有請國發會劉靜卿主委
transcript.whisperx[114].start 4633.483
transcript.whisperx[114].end 4651.076
transcript.whisperx[114].text 主委早我想您最近是當紅榨子雞不只有主權基金還有新時大建設又有我們現在這個人才的重任我想台灣未來50年的發展可能都在您的手上當然還是要透過合作但是我想先請教一下主委
transcript.whisperx[115].start 4651.496
transcript.whisperx[115].end 4666.61
transcript.whisperx[115].text 主權基金的設置跟管理條例目前研議的進度怎麼樣因為我們現在有研會嘛所以我們距離休會還有兩個多月也許我們就可以多加把勁我們有很多的充裕的時間可以來審法案有沒有可能這個會期來送進立法院審查
transcript.whisperx[116].start 4668.72
transcript.whisperx[116].end 4683.406
transcript.whisperx[116].text 我們組員基金我們目前還在收集拜訪各單位收集第一手的消息那所以呢我們還在廣納意見包括各種民間的意見中所以就是這個會期不會送進來
transcript.whisperx[117].start 4684.706
transcript.whisperx[117].end 4688.007
transcript.whisperx[117].text 對 因為我們必須先拜訪到幾個我們認為比較可以參考的基金了解他們當時設計上的想法思路做法跟營運上遇到什麼困難那條例要不要送到立法院 要吧如果有條例一定會送到立法院那都還沒有溝通 現在就開始在喊好 那沒有關係 我們現在看到現在大家對於這個組織基金要動用的資源
transcript.whisperx[118].start 4709.274
transcript.whisperx[118].end 4729.743
transcript.whisperx[118].text 但是現在社會有非常大的能量在討論嘛那我想請問一下未來的這個主權基金現在主委其實有正式的表示不會動用央行的外匯成底大家就好奇啊錢哪裡來啊那有媒體報導可能是由財政部來參考南韓或其他地方的案例來發行公債請問是不是如同媒體報導這樣我們現在是在參考各個國家的做法中
transcript.whisperx[119].start 4734.565
transcript.whisperx[119].end 4761.377
transcript.whisperx[119].text 所以發不發公債也還在收集意見我們已經拜訪了一個國家我們現在會再積極聯絡我們已經把虧損率給第二個國家了所以時間不確定財源也不確定那我來問一下方向 請問一下主委主權基金成立了以後我們現在看到因為主權基金各國可能都是投資風險稍微較高因為外匯成底可能是風險低不一定 它主權基金有三種一種是以政策為主
transcript.whisperx[120].start 4762.017
transcript.whisperx[120].end 4790.647
transcript.whisperx[120].text 好沒有關係有的是財務危險較高啦也有的是兩個合幣是那以新加坡有兩個主權基金好謝謝但馬奇是高風險謝謝主委謝謝不好意思因為我時間有限啦我理解您的意思那像您剛剛提到的但馬奇或者是挪威的主權基金那尤其挪威的主權基金呢甚至近來呢也非常積極地投入這個美國非常關注的所謂的虛擬資產的產業他們甚至透過第三方的基金來間接持有少量的比特幣我想請教一下主委
transcript.whisperx[121].start 4791.007
transcript.whisperx[121].end 4802.196
transcript.whisperx[121].text 未來主權基金成立了以後有沒有考慮要直接或間接的方式來列為把比特幣或虛擬貨幣 虛擬資產作為主權基金的投資標的有沒有這樣的討論啊這個應該太早了我們不會去討論這種事情現在不討論是不是所以其他國家有我們現在先不討論您剛剛不是說參加其他國家的意見嗎這是執行與運作的時候的做法所以時間不確定財源不確定執行運作的方式也不確定我們現在在瞭解這些過程中好 謝謝主委
transcript.whisperx[122].start 4821.07
transcript.whisperx[122].end 4842.24
transcript.whisperx[122].text 那我想關心另外一個議題新十大建設您也把它拋出來了那本席也非常關心我們國家的AI發展那結果呢針對這個計畫本席辦公室向國發會來索取資料希望了解具體的內容結果我們得到的回應是計畫尚未報行政院無法提供計畫內容
transcript.whisperx[123].start 4843.681
transcript.whisperx[123].end 4865.519
transcript.whisperx[123].text 又來一個不清不楚了那我想請教一下主委AI新十大建設的目標是在2040年要帶動15兆的產值啊哇這不是壞事還要帶動50萬個高新就業機會注意喔您提的是高新喔請教一下主委您的這個目標計畫目標是如何算出來的
transcript.whisperx[124].start 4866.019
transcript.whisperx[124].end 4872.246
transcript.whisperx[124].text 可不可以在這裡因為我們要不到資料可不可以簡要的向全國民眾說明不然又一個計畫喊出來這個我們計畫抱怨我們等核定下來我們會有一個記者會的說明所以記者會會說明15兆怎麼計算的在抱怨過程中
transcript.whisperx[125].start 4883.658
transcript.whisperx[125].end 4912.527
transcript.whisperx[125].text 另外一個事情就是說整個國家未來的發展我們必須找到下一個成長的引擎那以全球的發展來講AI很明顯是具備很重要的一個定位那它也可以帶動很多科技產業的發展跟我們生活的應用好 謝謝那我再問那這個十大建設要投入多少資源 多少人還不確定嘛 對不對我們都有算出來在越沒有核定之前我們沒有辦法去公告也沒有辦法提供
transcript.whisperx[126].start 4913.956
transcript.whisperx[126].end 4939.352
transcript.whisperx[126].text 因為我們所知你不提供啊院合訂之後不需要先大家來討論一下嗎院合訂之後我們就會提供喔因為這個合訂過程中所以等院嘛剛剛在另外一個地方太空計畫也在等院合訂這個AI計畫也在等院合訂您剛剛提到AI非常重要那我們就來問啊我們現在人工智慧基本法也在等院合訂啊陳柏惠院長現在去哪裡了我想請問您認為台灣目前是不是
transcript.whisperx[127].start 4943.308
transcript.whisperx[127].end 4966.716
transcript.whisperx[127].text AI基本法現在行政院院版還沒出來喔您知道嗎這個AI的基本法不是速發部已經送前陣子有院討論嗎院版還沒有出來現在還在行政院那抱歉可能我
transcript.whisperx[128].start 4968.283
transcript.whisperx[128].end 4990.953
transcript.whisperx[128].text 我有誤解吧我想這個可能不是沒有關係可以解決的我想您要提出AI新十大建設喊出15兆的產值結果您現在不知道我們現在AI發展的尚未法規行政院院版到現在還沒出來AI那個資金已經多少那沒有關係因為這個業務你可以說是行政院卡住了或者行政院還在研議
transcript.whisperx[129].start 4991.593
transcript.whisperx[129].end 5008.221
transcript.whisperx[129].text 那我想請教你,台灣現在是不是制定人工智慧基本法需要的時機?看您的反應,你應該認為很需要嘛,對吧?對好,謝謝那我就想請教我想委員也很清楚,我們很多的法令都有卡住AI的發展,尤其是GenAI的發展
transcript.whisperx[130].start 5009.121
transcript.whisperx[130].end 5032.392
transcript.whisperx[130].text 謝謝您的這個直白的說法我也非常支持您的說法所以是不是可以跟行政院溝通一下我們應該院版要趕快出來因為這個真的是非常重要但是您也看一下您為什麼會不了解AI基本法的發展其實我們知道原因因為本席對不起我來說明一下您再回應本席查看了一下人工智慧基本法審查的時候的列席名單很遺憾的國發會並沒有列席參與法案的審查
transcript.whisperx[131].start 5035.774
transcript.whisperx[131].end 5058.156
transcript.whisperx[131].text 也沒有去做更多的這些參與結果現在您跳出來我先講AI建設是很好的但您現在跳出來說有一個新十大建設對於AI基本法的理解跟過程是缺席的這個您可不可以說明一下我給你時間說明一下為什麼會這樣呢我沒有缺席我是用政務委員的身份列行我說立法院立法院的審查
transcript.whisperx[132].start 5058.817
transcript.whisperx[132].end 5074.877
transcript.whisperx[132].text 因為立法院那個是由速發部跟國會在負責當然是以權責來講是以他們來負責但是您要做新十大建設因為我們審查的時候是上禮拜三您的新十大建設已經出來了新十大建設我們是納入各部會的東西進來不代表我每一個都一定要參與到
transcript.whisperx[133].start 5075.538
transcript.whisperx[133].end 5097.458
transcript.whisperx[133].text 沒有關係我想我們還是有共識的我們需要有一個上位的法規接下來教文委員會也會持續排審AI基本法我們也希望國發會務必派人列席參與審查我們一起來提供意見那同時呢我想我們再快速的回到我們今天這個主題啦其實人才的出口跟進口非常非常的重要我們看到其實之前有就業金卡
transcript.whisperx[134].start 5097.978
transcript.whisperx[134].end 5125.16
transcript.whisperx[134].text 但是這個數字我請國發會主委您看一下科技那一欄其實科技那一欄呢您可以看到其實近五年取得就業金卡在科技這個類別的只有400多人平均起來一年那人才赤字已經被各國統計說台灣是負1.5%那請教一下那您現在這個修法三讀施行通過以後一年以後可以為台灣帶進多少新的外國人才比現況又要增加多少
transcript.whisperx[135].start 5125.74
transcript.whisperx[135].end 5144.054
transcript.whisperx[135].text 我們的預估是希望增加六千六百多人一年一千六百多人一年六千六百多人好 那我想要問其實我們發現現在我們有得到一些陳情其實有一些非常優異的青年或者未來的人才其實遇到了一些挑戰
transcript.whisperx[136].start 5144.975
transcript.whisperx[136].end 5172.063
transcript.whisperx[136].text 因為我們現在第六條的要求是外國專家畢業以後要有兩年的工作經驗這一次提出修法你說把前500大這個畢業生免兩年工作經驗的規定換為前1000大但是主委您看一下這些人依據我們現在的人才條例全部是沒有辦法進來台灣的因為為什麼因為這些是中錯生沒有辦法被排入這500大 1000大
transcript.whisperx[137].start 5173.304
transcript.whisperx[137].end 5175.434
transcript.whisperx[137].text 那這個要怎麼解決啊
transcript.whisperx[138].start 5177.113
transcript.whisperx[138].end 5205.675
transcript.whisperx[138].text 我們就業金卡並沒有這樣的限定但一年只有平均四百人一年平均四百二十六人因為月薪達到四十六萬那你讓六千多人這些人進不來啊因為我們就業金卡給的是比較頂尖我現在講的是這一次的修法第六條這一次的修法其實在要兩年工作經驗我們借過很多陳情他也可以透過我們的特專就是特定專業人才的特殊成就認定好的那我想請教一下您知道這個特殊成就認定一年核定多少件嗎
transcript.whisperx[139].start 5206.704
transcript.whisperx[139].end 5231.736
transcript.whisperx[139].text 我們目前累積的已經有1萬8千多間了一年多少人?去年有3千多位我想主委你要掌握清楚啦齁因為這個各種條款我們都希望能夠有競爭力其實我們也幫您問了啦齁這個到今年5月底大概許可人次大概3千2百多人
transcript.whisperx[140].start 5232.156
transcript.whisperx[140].end 5252.687
transcript.whisperx[140].text 那也有一些人是進不來的但是總而言之我們看了新加坡有ONE PASS日本有J SKIP其實我們也看到我們在人才的匯聚上面一定要有競爭力我非常認同您剛剛提到的幾點做法包含Community但是我也跟您提出一點也有非常多高階人才來反映
transcript.whisperx[141].start 5253.707
transcript.whisperx[141].end 5271.444
transcript.whisperx[141].text 銀行開帳戶遇到很多的困擾子女就學也遇到很多的困擾很多很多這種日常生活上的不便造成這些人來了以後體驗非常差甚至有外國的代表跟我這樣反應想請教一下主委這一點整個配套的措施後端的配套措施能不能也一起跟上
transcript.whisperx[142].start 5272.507
transcript.whisperx[142].end 5288.521
transcript.whisperx[142].text 這個我們有在規劃尤其是就學的部分是有些人甚至來以後拿到金卡又回去因為他必須小孩子就學擠不進這個外語學校所以我們有在積極協調一些實驗學校的做法金融的服務聽說是銀行賬戶我們本國人去開都快要開不成了
transcript.whisperx[143].start 5292.484
transcript.whisperx[143].end 5313.415
transcript.whisperx[143].text 現在這些外國人去很可能很容易被懷疑這些能不能這個相關的計畫配套說是一起來進行研究這個目前我們在我們的Talent Taiwan裡面事實上有在協助他們解決這個兩件事一個是不是只有銀行帳戶還有一個就是電話卡那這兩個部分我們現在都有在協助 一起在進行中了
transcript.whisperx[144].start 5313.595
transcript.whisperx[144].end 5337.567
transcript.whisperx[144].text 我想在審查的過程裡面希望主席可以參採本席的部分意見提出更有亮點的版本那也謝謝主席給予相關的時間我們攬財一起來努力謝謝剛剛忽然講我要提版本我嚇一跳好謝謝葛禄君委員好我們下一位請鄭正前委員發言
transcript.whisperx[145].start 5348.127
transcript.whisperx[145].end 5349.271
transcript.whisperx[145].text 謝謝主席,我想請一下劉主委來,請主委
transcript.whisperx[146].start 5357.56
transcript.whisperx[146].end 5382.049
transcript.whisperx[146].text 曾委員早主委好 主委平安那我想說今天我們是針對那個外國人專業人才的延攬及僱用法的一個修法的一個部分那我想特別針對這個部分來就教於主委一下因為我們針對那個就是就業金卡這個部分那我們其實就是有成立一個那個Taren Taiwan這樣子的一個機構
transcript.whisperx[147].start 5383.59
transcript.whisperx[147].end 5404.469
transcript.whisperx[147].text 那這個Talent Taiwan這個國際人才服務及演覽中心它其實是個委外的一個經營的一個方式對不對是的那我想請教一下從我們開始在做這樣的委外動作到目前為止總共的委外金額大概是多少錢委外金額可能這邊大概
transcript.whisperx[148].start 5408.021
transcript.whisperx[148].end 5412.065
transcript.whisperx[148].text 這幾年?這幾年114年是5350萬113年是3760萬112年是4940萬所以總共加起來大概多少?我加起來大概1.5億多
transcript.whisperx[149].start 5425.87
transcript.whisperx[149].end 5436.317
transcript.whisperx[149].text 1.5億多那總共有多少的就業金卡人次目前是13603張大概1.3萬人次左右那這樣除起來就發現說就是我們在委外金額當中大概1.54億那麼發出1.3萬就平均一張的成本
transcript.whisperx[150].start 5444.582
transcript.whisperx[150].end 5467.557
transcript.whisperx[150].text 就是大概是要1.2萬要1.2萬那本席是覺得比較有趣的狀態是說我們在這樣子的一個Talent Taiwan的一個網站上面他特別講到說所有的申請程序都可在網路上自行完成不需要外部顧問私人機構或公司來代辦那以這樣的一個情況之下所以你覺得說一個
transcript.whisperx[151].start 5468.477
transcript.whisperx[151].end 5489.19
transcript.whisperx[151].text 就業金卡人士1.2萬的一個成本你覺得高不高這個我們曾經檢討過跟委員也報告其實這個就業金卡這個Talent Taiwan的單位它還有好多功能包括對外宣傳的功能它還有去解決旅居台灣外國人士的各種問題
transcript.whisperx[152].start 5490.431
transcript.whisperx[152].end 5508.787
transcript.whisperx[152].text 包括前一陣子我們被要求在別的縣市設服務中心原因是很多人要跑到台北來那他們有些稅務的問題所以它不只是一個攬財狀況它還有做一些後續服務的一些動作嘛對不對還有海外宣傳的部分那我想問一下Tayland Taiwan這它算是一個公務組織嗎
transcript.whisperx[153].start 5511.598
transcript.whisperx[153].end 5532.479
transcript.whisperx[153].text 他是一個委辦單位委辦單位他不是一個公務組織嘛對不對那我想因為我在看了一下這部分的時候我就把從109年開始委外到112年成立到目前為止的時候我就發現都是同樣的一家公司在做他資本也不高可是他一開始橫空出世的時候他是
transcript.whisperx[154].start 5534.585
transcript.whisperx[154].end 5555.938
transcript.whisperx[154].text 就是打敗了台灣經濟研究院的一個競爭的關係然後這段時間來大概持續拿到了我們國發會至少10次的一個標案那也許用變更設計或用什麼樣變更的一個合約的方式或怎麼樣的方式那總共有10次的一個標案
transcript.whisperx[155].start 5557.719
transcript.whisperx[155].end 5584.909
transcript.whisperx[155].text 那我特別為什麼會特別提到這個狀態呢是因為我比較好奇是這家公司他有什麼過人之處因為他是用限制性招標上來的那感覺好像是國發會特定的御用的一個單位那可不可以請主委稍微講一下說這家公司他的一個情況然後目前的表現如何因為五年前的事我可能請我們處長來回答OK
transcript.whisperx[156].start 5587.717
transcript.whisperx[156].end 5590.841
transcript.whisperx[156].text 謝謝委員的一個關心那有關於我們委辦團隊這個背景那其實跟委員報告一開始是我們委辦團隊他們原本是這個方舟福太公司他是在做有共享辦公室的就是共享辦公室嗎
transcript.whisperx[157].start 5603.675
transcript.whisperx[157].end 5619.421
transcript.whisperx[157].text 有接觸一些外國人 也協助外國人他們在取得金卡的一些問題那後來我們接觸之後 也覺得他很適合來提供就金卡的服務所以我們有先進行一些前期的研究之後 我們公開招標這過程之中有邀請 可是我們還是公開的招標
transcript.whisperx[158].start 5626.844
transcript.whisperx[158].end 5641.19
transcript.whisperx[158].text 那我想特別請教你是那個人力發展處處長嗎我想請教一下主委我們國發會裡頭的預算原額總共有520人嘛對不對我們在整個人力發展處整個原額有多少人
transcript.whisperx[159].start 5643.049
transcript.whisperx[159].end 5671.53
transcript.whisperx[159].text 我們40位但是我們預算原額跟實際原額我們實際原額只有490位左右那實際的原額是490位嗎那人力發展處這邊實際的原額有多少人40位因為我們很大的比例在國家檔案局也佔了200那我想特別就教一下主委因為我看了一下我們的預算書當中的時候就是我們的人力發展處就是他
transcript.whisperx[160].start 5672.895
transcript.whisperx[160].end 5695.745
transcript.whisperx[160].text 的一年的預算大概是九千一百八十三九千一百八十一萬應該沒有錯然後我就發現他用八千九百萬在推動人口及移民政策延展國際人才其中裡面有八百八千八百五十萬都是委辦費用他的委辦費用高達整個這個處的預算的96.39%
transcript.whisperx[161].start 5700.404
transcript.whisperx[161].end 5713.238
transcript.whisperx[161].text 那本席比較疑惑的是如果說全部的預算都用在尾辦這個部分的時候那原本這些編制裡面的人他們最主要在做什麼部分
transcript.whisperx[162].start 5714.41
transcript.whisperx[162].end 5738.109
transcript.whisperx[162].text 我們我們主要是這個委辦部分主要是在Talent台灣去服務這些外國人士的費用以外剩下的都是在我們內部做各種研究跟其實因為在這個這個像這個處的當中的時候因為他96%都是委辦費那我想說針對這部分我想請主委就是幫我了解一下這整個的一個狀態再給本席一個
transcript.whisperx[163].start 5740.711
transcript.whisperx[163].end 5761.997
transcript.whisperx[163].text 給你一個書面報告再跟本席做一個說明那另外一個部分因為現在我們不只是要攬財的一個問題因為現在台灣其實一般的缺工的情況非常非常的普遍所以我這邊會特別提到一個狀態就是以目前來說的時候我們營造產業大概是15個職缺搶一個人
transcript.whisperx[164].start 5764.257
transcript.whisperx[164].end 5791.683
transcript.whisperx[164].text 我們看到這邊就是產業供需比例倒數五名的時候包括營造建築位15個職缺只有一個搶一個人那住宿餐飲也非常的缺人批發零售也非常的缺人醫療保健也缺人一般服務業都缺人那麼在職缺人數當中的時候批發零售缺最多可是我們看到一個情況就是說我們要從國際攬財沒有問題我們本席也支持可是我們看到
transcript.whisperx[165].start 5793.424
transcript.whisperx[165].end 5806.695
transcript.whisperx[165].text 113年大學畢業生就是很多人其實都沒有找工作或者是不想找工作我們看到113年他的未投保率就大學畢業生未投保率有高達32.9%32.9%
transcript.whisperx[166].start 5812.461
transcript.whisperx[166].end 5830.4
transcript.whisperx[166].text 那麼比例非常的高啊那我想說請教一下主委針對大學畢業生他們沒有投入職場情況是什麼那因為他們很可能情況他們可能也沒有出國也沒有就學那可能就躺平了
transcript.whisperx[167].start 5831.081
transcript.whisperx[167].end 5850.054
transcript.whisperx[167].text 那是什麼樣的情況發生這樣的情況可以請主委做一個簡單的一個回應這個部分我想我們會是不是讓我們會同勞動部這個數據來自勞動部我們來了解一下然後給您一個書面報告因為這個看起來有很多各種可能的原因
transcript.whisperx[168].start 5850.194
transcript.whisperx[168].end 5878.525
transcript.whisperx[168].text 是因為我們要國際攬財可是因為我們本國的勞工其實也沒有出來工作那我覺得這是一個我們必須要雙管家來解決台灣的一個勞動市場當中一個很重要的問題那我特別也提到狀態113年畢業的這個數字裡面還有一個數字是有高達將近15%的人都採取部分工時的一個情況他們並沒有真正全職的投入職場當中那我想說請主委這邊再給本席一個很清楚的相關資料
transcript.whisperx[169].start 5879.645
transcript.whisperx[169].end 5900.418
transcript.whisperx[169].text 好的因為這個坦白講在疫情之後零工經濟形成就變成這種趴帶制變成全球的趨勢再給本席一個更完整一點的說明給您一個說明好謝謝主委主委平安謝謝好謝謝鄭正前委員那下一位請楊瓊英委員發言謝謝主席楊瓊英發言邀請主委
transcript.whisperx[170].start 5909.346
transcript.whisperx[170].end 5937.482
transcript.whisperx[170].text 好請主委楊委員早主委好我們今天針對於全球人才競爭的白樂化那麼國防會呢你們也提出了流財攬財的這個修法那希望透過放寬整個外國留學生畢業後的自由工作權利跟簡化高薪人才永居的門檻
transcript.whisperx[171].start 5938.342
transcript.whisperx[171].end 5963.064
transcript.whisperx[171].text 放寬外國專業人才配偶就業的限制以及怎麼樣延長數位遊牧民族停留的這個時間打造整個國際競爭力的一個人才體制但是我們看到當然我們全力支持這樣的一個方向但是我們看到目前國發會你所提出的這個措施呢似乎
transcript.whisperx[172].start 5963.684
transcript.whisperx[172].end 5980.642
transcript.whisperx[172].text 多偏重於放寬居留跟工作許可那麼恐怕會淪為空有其表的法規鬆綁所以在這樣的一個情況之下本席要請教沒有看到明確如何能夠解決本地產業的結構問題跟人才
transcript.whisperx[173].start 5986.628
transcript.whisperx[173].end 5993.414
transcript.whisperx[173].text 留下來之後呢 你的培訓還有你的這個職場整合那在這樣的情況之下 本席要請教你要如何的去整合整個產業的結構跟人才留下來之後的這個培訓 請做說明
transcript.whisperx[174].start 6002.981
transcript.whisperx[174].end 6026.712
transcript.whisperx[174].text 謝謝委員 委員的考慮是很周延的那我們從兩個部分第一個在我們國家人才競爭力方案裡面我們除了吸引外國人進來之外我們也有一個計畫是要降低對人力的需求那我們是希望透過AI所以我們這次在AI十大建設裡面我們也希望產業能夠推動一個大幅度的AI也就是你針對於你攬財留財的時候那你要怎麼樣
transcript.whisperx[175].start 6030.934
transcript.whisperx[175].end 6053.335
transcript.whisperx[175].text 他留下來你怎麼做培訓以及我們國內產業的結構你怎麼樣去整合這非常重要這個人才的部分也在我們新十大建設裡面我們也有包括經濟部然後速發部我們都會對於這些人才予以協助跟幫助另外我們也培育自己的人才
transcript.whisperx[176].start 6053.795
transcript.whisperx[176].end 6063.045
transcript.whisperx[176].text 你的重點方案是什麼呢因為你既然提出這個修法那所以本席要提問也就是留下來可以為台灣我們的產業可以創造什麼樣的
transcript.whisperx[177].start 6068.547
transcript.whisperx[177].end 6085.041
transcript.whisperx[177].text 目標出來這第一個第二個我們也要將所有的這些細項你能夠好好的提出方案才不會淪為稅基流失以及跟我們本地勞工的一個衝突隱憂
transcript.whisperx[178].start 6086.702
transcript.whisperx[178].end 6113.844
transcript.whisperx[178].text 請做說明這個部分我很快跟委員報告我們這個稅基它基本上它比較難如果人不進來才會流失那現在進來的人一定會繳稅那它會增加的那跟本國之間的衝突是很低的我們現在失業率是3.3%那是達到幾乎是摩擦性失業就幾乎是零失業那第二個狀況是我們的人才缺口很大
transcript.whisperx[179].start 6114.364
transcript.whisperx[179].end 6122.012
transcript.whisperx[179].text 我們到2030年白領缺12萬就是把本國勞工本國畢業生只有18萬那我們總共需求是48萬那白領是缺12萬藍領跟灰領缺18萬
transcript.whisperx[180].start 6128.789
transcript.whisperx[180].end 6133.732
transcript.whisperx[180].text 所以剛剛本席也特別跟你提出也就是攬財跟流財這個方向我們是全力支持但是在細目方面我們看不到你的政策實際的一個路徑到底是怎麼樣這第一個
transcript.whisperx[181].start 6148.883
transcript.whisperx[181].end 6152.966
transcript.whisperx[181].text 第二個我們說怕會成為稅基的流失您的回答是進來就會繳稅但是我們要看的是更深一層的也就是要怎麼樣將台灣經濟帶來注意這個才是最重要的一個點所以我也希望將你們預計要怎麼做的方向然後書面資料給本席
transcript.whisperx[182].start 6174.719
transcript.whisperx[182].end 6178.303
transcript.whisperx[182].text 因為我們也不希望它淪為是一個空談更不希望會衝擊到本國的勞工的一個權利應該要承諾你所說的它是一個互補的一個作用請將你們的入境目標方向方法
transcript.whisperx[183].start 6190.916
transcript.whisperx[183].end 6214.967
transcript.whisperx[183].text 詳細資料給本席接下來本席要跟你討論的是內政部有一個顯示本席上一次也跟你討論過2024年我們的新生兒人口是13.4萬人退縮到1920年的一個水準2025年我們預估可能會跌破到12萬人在創下了新低的時候呢政府你為了要改善少子化所以推動了輝瑞宅
transcript.whisperx[184].start 6215.867
transcript.whisperx[184].end 6238.768
transcript.whisperx[184].text 那透過了租屋的補助希望能夠提升結婚的意願希望挽救少子化的這個生育率但是年輕人的不婚跟不育呢他不是只有一個我住得起這麼簡單的一個問題因為我們真正的問題看到了結構性的壓力低薪高房價月額
transcript.whisperx[185].start 6240.589
transcript.whisperx[185].end 6252.14
transcript.whisperx[185].text 教育的成本脫裕以及職場缺乏彈性還有他對於未來的一個失望跟無力感這些是年輕人非常大的一個衝擊那我也拿到參考了這個韓國他們在20年來耗盡了將近10兆元的台幣他為了要改善少子化
transcript.whisperx[186].start 6261.989
transcript.whisperx[186].end 6290.864
transcript.whisperx[186].text 但是他的答案告訴我們他的生育率卻是一路下滑也就證明了你只單靠補貼是沒有辦法去解決根本的問題所以本席要請教這個議題本席跟你討論過了幾次但是看到的數字我們還是憂心忡忡也是年輕人非常大的壓力所以本席要請教國發會你認知到現行會議政策如果只聚焦在補助
transcript.whisperx[187].start 6291.664
transcript.whisperx[187].end 6319.79
transcript.whisperx[187].text 跟這個居住它是不夠的是不是啊單純這個部分是有有幫助但是的確它還有再加強的空間有加強的空間所以面對少子化的情況越來越惡劣那你們有沒有去整合跨部會的一個整合計畫從薪資托育工時以及教育方面整體性的一個著手啊
transcript.whisperx[188].start 6321.223
transcript.whisperx[188].end 6346.362
transcript.whisperx[188].text 跟委員報告是有的那個陳時中委員最近進行了一個跨部會的一個四年計畫就114年到117年的少子化的政策114到117年對那他整合了各部會來做這件事情因為是他主政嘛那這個資料應該很快就會抱怨核定請問你們預計什麼時候方案會出來
transcript.whisperx[189].start 6351.701
transcript.whisperx[189].end 6377.76
transcript.whisperx[189].text 因為這個壓力對我們年輕人來講是壓力非常的大我們要全力來支持而且從根源來解決之那委員是不是我去請問他之後跟您報告這個時間你應該有參與吧你是國防會啊政委主持你們國防會一定要有參與啊我們是有國防會有沒有參與我們有設法處有參與在這有嘛那應該會知道啊什麼時候會提出呢
transcript.whisperx[190].start 6378.841
transcript.whisperx[190].end 6382.403
transcript.whisperx[190].text 114到117啊我有看到是因為他他給到各相關部會來做修正提案現在是114啊對 他是連續4年的政策對啊 那方案呢現在已經是114年的6月份了欸那怎麼可能我們主席單位 政委主持你們都通通什麼時候抱歉我可惡 原來我們的計畫到114年結束他是115到118了
transcript.whisperx[191].start 6406.759
transcript.whisperx[191].end 6426.418
transcript.whisperx[191].text 115到118正確的時間是如此嗎是嗎因為這個我們一定要好好地協助年輕人請你盡速也給政委說這個議題對我們年輕人來講壓力非常的大一定要盡速提出來協助我們所有年輕人也救我們的少子化因為人口學政策等於是國安議題你認同嗎
transcript.whisperx[192].start 6428.799
transcript.whisperx[192].end 6441.424
transcript.whisperx[192].text 認同所以一起加油接下來最後一個議題本期要請教也就是你為了落實賴清德總統的人工智慧島的國家願景那國防會你提出的AI新十大建設的這個藍圖你預計規劃要投入2000億到3000億元那這個預算要打造一個智慧應用
transcript.whisperx[193].start 6450.407
transcript.whisperx[193].end 6458.97
transcript.whisperx[193].text 以及關鍵技術以及數位基礎建設的長期國家戰略那預計在2040年的時候要創造15兆的一個產值提供50萬50萬高薪的就業機會那這個願景非常好所以本期要請教你這個計畫重點包括在扶植兆元平台軟體產業還要
transcript.whisperx[194].start 6474.274
transcript.whisperx[194].end 6500.292
transcript.whisperx[194].text 這個推動百萬家的企業AI轉型的一個升級那你結合了大南方桃竹苗中部地區台北等六大區域來推動均衡的發展所以本期要請教到目前為止國分會你的具體機制要怎麼樣確保AI十大建設在預算人才的培育以及區域的資源分配上的都能夠發揮最大的一個效能
transcript.whisperx[195].start 6504.134
transcript.whisperx[195].end 6518.305
transcript.whisperx[195].text 請做說明我們各項細節都對院長已經報告過了包括副院長秘書長我們都報告過了然後我們的計劃送院核定之後它就會變成各部會大家一致的執行方向
transcript.whisperx[196].start 6519.605
transcript.whisperx[196].end 6544.355
transcript.whisperx[196].text 你講的是流程沒有回答本席剛才的提問所以從各種預算包括年度計畫方案全部都會落實下來會落實下來 是面對跨部會的合作以及法規調整的需求國防會你採取怎麼樣的一個措施以避免政策的碎片化 請做說明
transcript.whisperx[197].start 6545.305
transcript.whisperx[197].end 6555.428
transcript.whisperx[197].text 我們現在這個都是每一個方塊都有一個主政的部會跟協助的部會每一個方塊都有一個主政換句話說也就是有監督計劃進度跟成效的一個控管整個監督跟成效控管有國安會的這個管考單位在負責
transcript.whisperx[198].start 6566.571
transcript.whisperx[198].end 6576.781
transcript.whisperx[198].text 好 你有管考單位在負責本席要告訴你台灣你們說的希望在2040年前達成全球AI前五強的目標 是不是
transcript.whisperx[199].start 6577.714
transcript.whisperx[199].end 6600.013
transcript.whisperx[199].text 對的 我們希望是變成我們是全球的AI核心好 這個非常的重要 我們要全力來推動但是本席要告訴你重點也就是你們到目前為止 計畫都已經給院報告你也有歸管單位 那請問你的算力能源 你的AI能源的最佳值
transcript.whisperx[200].start 6600.894
transcript.whisperx[200].end 6608.907
transcript.whisperx[200].text 到底是多少你的AI新創你的科技目標你的企業接軌你的目標跟你的路徑是如何呢請做說明
transcript.whisperx[201].start 6610.823
transcript.whisperx[201].end 6632.577
transcript.whisperx[201].text 這些都有規劃,國會也公告他在2028年要達到的算例值那加上我們把民間的加進來尤其是我們在NVIDIA在高雄的那個點甚至是比我們國家原來預估的會增加一倍所以台灣的順利將會很快的進到我們進到亞洲領先群
transcript.whisperx[202].start 6634.071
transcript.whisperx[202].end 6651.707
transcript.whisperx[202].text 對 所以這個也就是大家看我們要怎麼樣達到您所說的2040年我們是在全球這一個AI的前五強所以根據剛剛本席所提問的不管是算力能源
transcript.whisperx[203].start 6652.848
transcript.whisperx[203].end 6674.797
transcript.whisperx[203].text AI能源的最優化AI的新創科技目標企業接軌你的目標以及你的路徑要怎麼做以及你的監管督管的方式究竟是如何請你也詳細的書面資料給本席那委員是不是行政院核定之後我就送過來好 我們一起加油謝謝
transcript.whisperx[204].start 6678.473
transcript.whisperx[204].end 6697.763
transcript.whisperx[204].text 好 謝謝楊瓊英委員那下一位請吳佩奕委員發言謝謝署席 我請國發會移民署入委會來 請相關部會委員長
transcript.whisperx[205].start 6706.807
transcript.whisperx[205].end 6721.957
transcript.whisperx[205].text 主委好今天我們要審議的是外國專業人才延濫及僱用法的修正草案在行政院提出來的修法當中我們新增了兩項的規定一個是第六條本來現行法規是規定事件頂大
transcript.whisperx[206].start 6723.038
transcript.whisperx[206].end 6742.087
transcript.whisperx[206].text 的畢業生來台工作可以不用兩年工作經驗我們現在新增的是修改為世界前1000名大學畢業生來台工作不用兩年工作經驗再來第二項是第11條就是外國人他最近五年內只要有取得教育部公告世界大學排名前200大的
transcript.whisperx[207].start 6743.928
transcript.whisperx[207].end 6757.753
transcript.whisperx[207].text 這個學士畢業者可以自行的向勞動部來申請工作許可那整個方向就是朝向放寬這個修法其實涉及的很重大所以今天我們是有三個委員會的聯席審查那有關於這個細節部分我等會跟主委來討論很多個人會關心說外國專業人才的懶才大家都贊成支持
transcript.whisperx[208].start 6768.516
transcript.whisperx[208].end 6782.606
transcript.whisperx[208].text 但是呢會不會成為中國政府派人來台灣工作滲透的一個紅色的管道按照我們現行的法規有中國大陸籍的人士他是不適用我們的這個就業金卡對不對這一點是沒有問題的那
transcript.whisperx[209].start 6786.729
transcript.whisperx[209].end 6806.947
transcript.whisperx[209].text 但是呢在這個勞動部有一個說明當中有提到他有一個但書啦就是說就是如果他是在這個台灣與大陸地區人民關係條例這個規定當中這個但是他是第一個旅居國外四年以上
transcript.whisperx[210].start 6808.37
transcript.whisperx[210].end 6821.528
transcript.whisperx[210].text 好的 之下列的民眾第一個他要取得當地國籍者第二個取得當地永久居留權並領有有效護照者其實簡單來說基本上就是指海外出生的中國人會雙重國籍
transcript.whisperx[211].start 6823.43
transcript.whisperx[211].end 6840.262
transcript.whisperx[211].text 在這個我們剛講的排除之內就它是有一個段數存在所以我們現在為什麼大家會開始關心呢前一陣子我們看到哈佛大學它的這個畢業生代表致詞就是中國的學生將禦絨引起很多的討論
transcript.whisperx[212].start 6843.044
transcript.whisperx[212].end 6867.739
transcript.whisperx[212].text 那可以看到就我們舉手邊的資料近年來有非常多中國的高官子女都是前往送往這個哈佛大學來讀書甚至有一說說哈佛是不是中國的海外黨校那所以中國政府其實是有計畫的在安排人士到前往這個世界的頂尖大學來讀書
transcript.whisperx[213].start 6870.325
transcript.whisperx[213].end 6888.824
transcript.whisperx[213].text 我們就擔心說會不會呢就是有可能他是中國我現在講的是可能假設性的情況不是說已經有具體案例他會不會是在持有中國以外國家護照的中國人有可能是雙重國籍的狀況
transcript.whisperx[214].start 6890.826
transcript.whisperx[214].end 6915.507
transcript.whisperx[214].text 或者是他是在海外出生的中國紅二代那他因為有世界名校這樣子的身份有可能會因此更容易來台進行這個滲透的工作按照我們現在先要修的這個法規像我剛剛講的類這樣子情況的人要來台灣工作的話他會經過什麼樣的審查呢
transcript.whisperx[215].start 6918.643
transcript.whisperx[215].end 6931.002
transcript.whisperx[215].text 謝謝委員委員關心的其實也是我們之前很在意的事情所以我們也有請陸委會參與整個修法的過程是不是請陸委會來回答這個問題他會比較精準好
transcript.whisperx[216].start 6932.67
transcript.whisperx[216].end 6950.458
transcript.whisperx[216].text 非常謝謝委員的提問以及提醒那其實在修法的過程中我們就有留意到就是中國大陸人是可能會藉由轉換身份成外國籍或者是港澳籍來到台灣的這樣的問題所以我們在修法的過程之中就有建議必須要強化整個審查作業
transcript.whisperx[217].start 6951.238
transcript.whisperx[217].end 6955.282
transcript.whisperx[217].text 那其實我們現在針對這樣的案件我們就已經有在強化審查在過程之中我們都會去確定的釐清他的身份人別然後也會確認他有沒有安全的疑慮有沒有符合我們整體的產業需求跟國家利益只要有疑義的話我們就會不予許可那我們後續也會持續的去完善整個SOP確保我們的國家安全
transcript.whisperx[218].start 6975.219
transcript.whisperx[218].end 6995.854
transcript.whisperx[218].text 這個審查的單位第一個把關的是在什麼單位就是相關就是在我們的那個系統收案了以後如果說主管機關針對有異議或者是類似的案件的話他就會去會詳相關機關例如說像是國安相關單位還有我們的陸委會移民署以及產業的主管機關
transcript.whisperx[219].start 6996.815
transcript.whisperx[219].end 7016.958
transcript.whisperx[219].text 那相關機關會去進行一些相關的清搜然後檢索一些過往的一些相關的資料還有去檢索他們的資料庫如果有需要的話也會去請當事人去做說明提出佐證資料那相關機關再會綜合所有資訊來進行審查如果說有疑慮的話就會不予許可
transcript.whisperx[220].start 7017.358
transcript.whisperx[220].end 7025.105
transcript.whisperx[220].text 好所以我們是有考量這個因素我們未來會逐案的來嚴格的把關審查所以我要特別提醒國發會要避免我們海外的攬查制度攬查制度成為紅色滲透的管道這個要特別提醒你們注意委員補充我們對港澳也有相關的規範
transcript.whisperx[221].start 7037.335
transcript.whisperx[221].end 7049.986
transcript.whisperx[221].text 是就包含了社會因素還有國安疑慮我們都要主案嚴格來審查好那請移民署會可以請回我也請教這個主委剛提到的我們新增的第6條第11條嘛那我想要討論因為我看到這個我們這個制度它應該是參照英國的這個高潛力人才簽證HPI Visa
transcript.whisperx[222].start 7056.912
transcript.whisperx[222].end 7073.1
transcript.whisperx[222].text 也是開放英國是開放給全球前50大那日本也仿效了英國也建立了J-Find未來創造人才制度他開放是全球前100大那我們看到日本在第一年這個制度上路之後他的這個來申請的簽證數人數是353人
transcript.whisperx[223].start 7077.802
transcript.whisperx[223].end 7082.723
transcript.whisperx[223].text 那英國呢第一年他所開放之後的簽證數是1342人所以這個成效這個數字不大一樣那日本的狀況其中有他的申請的人75%是中國人所以其實有一些相關的討論就是除了你的法規的開放方寬以外
transcript.whisperx[224].start 7100.947
transcript.whisperx[224].end 7102.168
transcript.whisperx[224].text 你相關的這個外國人才就業的環境是不是友善那有相關的誘因哪一些的這些職業特別的吸引這些外國的人才我們有沒有去做相關的
transcript.whisperx[225].start 7116.474
transcript.whisperx[225].end 7120.739
transcript.whisperx[225].text 這個評估針對英國跟日本這些已經開放上路的國家他們施行的成效我們有沒有做相關的這些討論跟檢討就是說未來台灣會不會我們修法通過了支持你們但是呢實際上面有成效因此而申請的人數會不會不多會不會有這樣的問題
transcript.whisperx[226].start 7140.618
transcript.whisperx[226].end 7166.989
transcript.whisperx[226].text 這個因為它是我們初次開放但是過去如果我們把它用特定專業人士跟專業人士來看把200大設為特定專業人士的話我們其實過去因為台灣有經濟跟科技的進步也吸引到一萬八千多這樣的人那效果不會比較差那只是我們現在條件在放到跟日本一樣我們認為在某些領域上面科技這些經濟領域上面我們會吸引到比較多的人
transcript.whisperx[227].start 7167.549
transcript.whisperx[227].end 7190.222
transcript.whisperx[227].text 那我們在整個法令我們現在是佔顧是6670位的增加那我估計這裡面應該可以增加600到1000位至少可以增加這樣的人數但是你委員剛剛提到一個很大的關鍵就是我們的生態系統不夠完整就是外國人進來以後我們各地的環境不夠友善譬如說他到比較郊區要去叫個計程車我們的55688只有中文
transcript.whisperx[228].start 7192.904
transcript.whisperx[228].end 7212.239
transcript.whisperx[228].text 那Uber在比較偏鄉就沒有那我們現在就嘗試再改善這些地方然後做配套的改善好 那就是提醒你們 支持這個修法但是除了法律 法規調適以外我們的環境 我們的行政的作為也要一起來提升是的 是的好 謝謝好 謝謝委員好 謝謝吳佩奕委員下一位請張祺凱委員發言
transcript.whisperx[229].start 7247.087
transcript.whisperx[229].end 7254.231
transcript.whisperx[229].text 好 請劉主委和姜市長委員早喔
transcript.whisperx[230].start 7268.174
transcript.whisperx[230].end 7293.16
transcript.whisperx[230].text 這個要延攬跟僱用外國專業人士這個台灣民眾黨明確表示是支持的在草野協商的時候我們也明確的支持了國發會提這個案子那可是就是剛剛主委在講的我們的這個環境還是不夠友善有太多太多的這個問題我們趕快來撲破那個我們現在用的最有效的方法看起來是就業金卡
transcript.whisperx[231].start 7294.224
transcript.whisperx[231].end 7311.277
transcript.whisperx[231].text 對不對 究竟我去做統計發現兩個很嚴重的問題第一個就是留下來的人 竟然有4成都跑掉了這是一個問題 第二個他的產業分配非常的不平均非常的不平均 大家看一下這個圖
transcript.whisperx[232].start 7313.232
transcript.whisperx[232].end 7330.845
transcript.whisperx[232].text 經濟部經濟部有提出5加2創新產業嘛那個江市長國發會跟這個經濟部都希望啊這個包括綠能科技亞洲矩股國防產業智慧機械生技醫藥勤繁經濟新農業
transcript.whisperx[233].start 7333.877
transcript.whisperx[233].end 7349.685
transcript.whisperx[233].text 5加2可是你發現我們現在發給這個就業金融就業金卡的你看接近一半都是製造業跟一般的這個商業科技業我們一直在推的科技業那麼少18.6%數位才6.2%文化藝術6.2%金融也很少6.2%所以 注意現在碰到兩個大問題嘛40%的人離開了對不對你給他這麼大的誘因了
transcript.whisperx[234].start 7362.554
transcript.whisperx[234].end 7372.697
transcript.whisperx[234].text 那顯然就是一定這個環境還是有問題 要怎麼去改善 等一下怎麼這個產業別這麼樣不平均你要強化的那些5加2為什麼沒辦法再多一點
transcript.whisperx[235].start 7377.787
transcript.whisperx[235].end 7398.953
transcript.whisperx[235].text 兩件事情 第一個他們為什麼離開我們現在看到最多的還是在於子女的就業因為這些人如果在30多歲他的小孩就學的時候台灣他可能擠不進美國學校之後那我們後來協助辦了一個加拿大學校是英語系的在林口之外就還是很難
transcript.whisperx[236].start 7399.893
transcript.whisperx[236].end 7422.329
transcript.whisperx[236].text 那所以我們一直在協調這個教育部我們希望能夠在就學環境上面能夠給這些外國人的小孩子能夠有一個比較雙魚的環境來就學這第一個那第二個是生活環境我們遇到有很多人來以後包括他的配合只會講英文他走到菜市場走到超市走到
transcript.whisperx[237].start 7423.309
transcript.whisperx[237].end 7441.149
transcript.whisperx[237].text 或是叫個計程車他都沒有英文環境所以我們現在會強化在這一個部分的整個環境的變化在我們今年的政策裡面希望把生態系統建立起來那另外還有老外是說他們到了譬如說到新加坡他有一個community然後進去問什麼事情都有
transcript.whisperx[238].start 7441.73
transcript.whisperx[238].end 7471.33
transcript.whisperx[238].text 那我們現在要透過Talent Taiwan建這樣的一個Community讓大家進到這個社群來他可以去問我要辦電話卡我要辦這個怎麼去做那我可能要找房子怎麼找那我們希望有一個一整的整體的一個生態系統來協助那再來就是在於Joy金卡的部分因為這是一個吸引條件那我們也會去跟企業再多合作去吸引更多但是如果就我們製造跟商務科技跟數位這幾個角度來講的話基本上
transcript.whisperx[239].start 7473.251
transcript.whisperx[239].end 7496.751
transcript.whisperx[239].text 應該是有吻合到各方面因為我們很多的製造業它也許是生技製造業也許是智慧機械的製造業但是我們現在會做更積極的來協助企業來做這個事情另外我們也打算再增加一個部分就是協助企業去攬財主動攬財的部分像我舉個例子其實中國的量子是靠維也納一位
transcript.whisperx[240].start 7498.993
transcript.whisperx[240].end 7517.602
transcript.whisperx[240].text 諾貝爾獎得主去協助的我們將來也希望做更大的力量來利用這些專業人才來主動吸引讓他進來協助台灣產業的升級主委你剛剛提到那些問題要積極去處理那我看了很多研究至少歸納出來有三個大的問題第一就是薪資跟生活的成本不匹配
transcript.whisperx[241].start 7518.942
transcript.whisperx[241].end 7543.001
transcript.whisperx[241].text 確實我們的薪資還是低的怎麼樣去延攬這個外國專業人才的時候這是第一個點第二就是包括我們的住屋的成本或者不方便,剛剛說的這一塊可能要怎麼幫忙,你剛剛說的是孩子的教學嘛對不對其實大也很不方便住屋這個也是一個另外他們對於那個金融這一塊還有他們那個賦稅好像很多人也都有意見
transcript.whisperx[242].start 7544.629
transcript.whisperx[242].end 7573.017
transcript.whisperx[242].text 這是三個 這是很多調查報告裡面他們去研究出來的三個大問題我們去解決我問一下姜市長這個那剛剛講這個你們5加2對不對是那麼多5加2的人都沒有進來這要怎麼去強化報告委員我們是經濟部的部分5加2的都歸類在製造業的部分您剛剛表上面所說的科技是國科會他有關於科技前瞻研發上說明
transcript.whisperx[243].start 7573.744
transcript.whisperx[243].end 7594.568
transcript.whisperx[243].text 就是五家裡面要盡量再 要不然的話 嚴重的失禁那裡面還有 我去看了一些那個到我們這邊來的外國專業人士 他們有一些建議第一 入籍障礙 這個是一個很大問題你剛才說的 其實入籍啦我們看一下這一張 上一張有關入籍的這個障礙都是一個很大的問題 拘留簽證
transcript.whisperx[244].start 7602.675
transcript.whisperx[244].end 7620.581
transcript.whisperx[244].text 連有時候那個家人要來申請這個探親有時候都是有困難的然後有時候要把媽媽接來住那小孩子的這個探親都是看起來我們這一塊真的很不友善但這次在這個部分有強化有強化了那另外他們說什麼連銀行在開戶都有問題喔
transcript.whisperx[245].start 7626.874
transcript.whisperx[245].end 7646.673
transcript.whisperx[245].text 不只是語言上,連銀行開戶為什麼有狀況?對,開戶主要是因為全球有一個防治洗錢法啦所以造成外國人的開戶會包括還有那個申請電話卡都會有一定的困難他說他去新加坡,去其他國家都沒有這個問題啊為什麼台灣的開戶啦,還有一些金融管理就掐得這麼緊一般國家是這樣齁,在日本來講,你只要
transcript.whisperx[246].start 7650.737
transcript.whisperx[246].end 7671.764
transcript.whisperx[246].text 有了工作就可以申請銀行帳戶跟電話卡為了這個我們在Talent Taiwan我們現在是有一個單一窗口不只協助到他們在電話跟帳戶還有包括他將來報稅等等的我們都有在整體的協助我想
transcript.whisperx[247].start 7673.324
transcript.whisperx[247].end 7692.495
transcript.whisperx[247].text 也許我們應該再更強化宣傳那我們希望把我們將來外國人社群建立起來之後讓他們都能夠在這裡把問題找到答案今天金管會有來嗎金管會有有沒有可能金融機構設立一個外籍人才服務的窗口
transcript.whisperx[248].start 7694.064
transcript.whisperx[248].end 7722.703
transcript.whisperx[248].text 剛剛諸位共也那個是一個整體的窗口嘛那現在大家都認為說這個我們的銀行問題太那個整個那個聯絡上很不方便有沒有可能設立一個外籍人才服務窗口統一提供身份驗證啊外移這個服務啊還有一些申訴的這個處理是跟文包現在各銀行其實都已經有提供這樣的服務了都有做的所以就是跟他們講找到這兩個銀行不是只有這所有銀行都銀行其實成度是一直在強化當中各銀行都有提供
transcript.whisperx[249].start 7723.584
transcript.whisperx[249].end 7747.079
transcript.whisperx[249].text 那另外那個 剛剛在講那個房子的那個問題那怎麼樣幫他們在租屋 怎麼去做一個溝通這方面我們可能可以去幫忙這個我們回去研議 跟委員 給委員一個報告啦因為這個的確 您提到這一點因為我們的這個居住成本是那個我們可以回來一次來 我們來做一個規劃來給你報告
transcript.whisperx[250].start 7748.956
transcript.whisperx[250].end 7773.208
transcript.whisperx[250].text 好不好 這個這是一個議題蠻值得我們去探討的我們現在就業金卡我看那個最新統計是到2023年的年底發了6000現在有再增加嗎我們現在是13800多張我們現在一年增加3000多張那現在留的那個離開的比例是多少離開的比例目前呢離開的是6900位那六個月沒有來的就是
transcript.whisperx[251].start 7779.896
transcript.whisperx[251].end 7780.82
transcript.whisperx[251].text 六個月沒有來的
transcript.whisperx[252].start 7784.14
transcript.whisperx[252].end 7808.691
transcript.whisperx[252].text 所以16000人大概6000人是3900多位是6個月就離開6個月沒有再進來的那有些本來就是商務往來像日本特別多那有大概3900多位是6個月沒有再進出了那這裡面我們調查裡面有很多兩幾個就是我剛剛跟您報告的為了小孩子他小孩子
transcript.whisperx[253].start 7809.651
transcript.whisperx[253].end 7832.687
transcript.whisperx[253].text 沒辦法讀書那他他得回去那尤其是特別多的是那個在美國的二代特別多那再來就是他的生活是我們的那個生活環境的的不適應那我們還有再來是他找不到一進來很無助所以我們就這幾個我們都會打包一起一起把它處理建立一個好的生態系統讓他們留下來
transcript.whisperx[254].start 7834.568
transcript.whisperx[254].end 7844.697
transcript.whisperx[254].text 本來在2023年的時候有4成離開 現在看起來比例也是接近了所以要不要再加強 好不好人才留下來 要把人才留下來 加油謝謝委員好 謝謝張祺凱 張委員下一位請林依謹委員質詢
transcript.whisperx[255].start 7863.32
transcript.whisperx[255].end 7869.988
transcript.whisperx[255].text 謝主席喔 有請國發會 劉主委 教育部國際司 藍代理副司長勞動部 勞發署 蘇組長經濟部 江次長好 來 請先換部會委員早
transcript.whisperx[256].start 7879.713
transcript.whisperx[256].end 7892.903
transcript.whisperx[256].text 我想台灣的缺工問題越來越受關注那國發會之前有推估2030年台灣勞動力的缺口大概是在48萬左右那不只台灣我想許多國家也面臨相同的問題那現在
transcript.whisperx[257].start 7896.526
transcript.whisperx[257].end 7924.165
transcript.whisperx[257].text 國際間相互競逐人才的這個時刻喔我想台灣勢必要這個增加誘因才能提供更完善的這個延攬外國人才流用喬外申的策略來填補我們台灣的勞動力的空缺好 那今天本席要針對畢業喬外申留台的部分來討論之前勞動部有調查就是近年來喬外申畢業後留在台灣的意願大概有七成以上
transcript.whisperx[258].start 7925.026
transcript.whisperx[258].end 7944.573
transcript.whisperx[258].text 那可是實際上大約只有一半左右留在台灣那這次的修法我們會開放僑外生在畢業後找工作期間可以不用工作許可那可以取得我國那如果取得我國副學士以上的學位的僑外生那申請永居可以折抵一至二年
transcript.whisperx[259].start 7945.373
transcript.whisperx[259].end 7960.485
transcript.whisperx[259].text 那我想要請教的是國防會預估這樣的放寬措施可以增加幾成的僑外生留台工作那預估可以填補多少人力那這次如果修法通過後預計最快是哪個學年的畢業的僑外生可以適用
transcript.whisperx[260].start 7962.718
transcript.whisperx[260].end 7990.796
transcript.whisperx[260].text 我們在僑外生的部分我們希望逐年增加目標到70%想留下來的都留下來甚至我們希望到80%過去僑外生最困難的兩個點就是他在找工作的期間非常短第二個聘用的僱主有嚴格的限制我們希望把這個打通因為他們有很多是僑生他會講中文而且有的甚至高中畢業就來到台灣
transcript.whisperx[261].start 7992.017
transcript.whisperx[261].end 8010.231
transcript.whisperx[261].text 那我們希望這些孩子都能夠留下來那所以我們才做這樣的放寬我們希望達到這樣的一個目標讓他們在找工作的壓力沒有那麼大然後不需要說很短的時間就得回到自己的國家去然後有時候就回不來了所以我們想我們這次修法就是希望解決這個問題
transcript.whisperx[262].start 8011.372
transcript.whisperx[262].end 8029.42
transcript.whisperx[262].text 那如果說修法通過那預計最快是哪個學年的橋外生可以試用修法通過只要經過公告以後就可以就立即可以試用那我們希望能夠在明年畢業的橋生就能夠這些七成想留下來就七成可以
transcript.whisperx[263].start 8030.02
transcript.whisperx[263].end 8032.583
transcript.whisperx[263].text 留下來OK那接著我想之前天下雜誌有一個人才永續頻道的在台喬萬生就業大調查的這個裡面有提及說有學生表達他不大清楚留台就業的相關規則
transcript.whisperx[264].start 8050.94
transcript.whisperx[264].end 8066.669
transcript.whisperx[264].text 這裡面的調查裡面就有超過三成的學生表示學校沒有提供任何的協助比較多僑生在台灣的像馬來西亞他們就有學長姐可以傳送一些經驗給學弟們傳送經驗可是近年來比較多的國家來台的像泰國 菲律賓他們就比較少所謂的學長姐可以幫忙
transcript.whisperx[265].start 8074.893
transcript.whisperx[265].end 8089.903
transcript.whisperx[265].text 那他們就不曉得要去哪裡找就業的相關資訊所以這部分想請教教育部國際司你有沒有注意到相關的現象那怎麼精進那來幫助僑外生確實能了解就業跟申請永居的這種相關資訊
transcript.whisperx[266].start 8092.828
transcript.whisperx[266].end 8114.313
transcript.whisperx[266].text 蓝副市长谢谢委员关心这个议题那的确我们也注意到所以我们从去年开始已经补助有70几所学校成立了就业辅导专业化的这样一个专案办公室希望就是在他们就学期间尽量让他们了解到我们台湾
transcript.whisperx[267].start 8114.853
transcript.whisperx[267].end 8133.462
transcript.whisperx[267].text 就是希望他們留下來的一些便利的條件那以及也跟企業合作開設一些課程讓他們更了解我們企業需求的方向那希望來加強這方面的輔導讓更多有意願留下來的僑愛生都可以充分得到訊息
transcript.whisperx[268].start 8134.226
transcript.whisperx[268].end 8154.016
transcript.whisperx[268].text 然後決定可以留下來那另外喬外申如果願意留台也要企業願意來聘僱嘛那才能填補這個人力的效果那我想很多企業想要聘僱喬外申但法令規定就如同主委剛剛講的就也很多的嚴苛那其中一項就是他資本額要500萬
transcript.whisperx[269].start 8155.137
transcript.whisperx[269].end 8178.033
transcript.whisperx[269].text 或者營業額要1000萬以上的這個企業才能僱用僑生那很多的新創公司跟中小企業是很難達標那之前本企業有關心過 那勞動部是跟我回說像是服務業之類的中小企業可以透過個案的申請來進行可是這樣程序其實是很繁瑣的那如果真的想要解決這個缺工的藍莓之急 我看是
transcript.whisperx[270].start 8178.553
transcript.whisperx[270].end 8196.997
transcript.whisperx[270].text 很難處理那我們理解我們是為了要保護本國勞工所以也怕變成人頭公司啦之類的那所以資本額沒有達標的中小企業他真的就是缺乏人力的狀況之下有沒有可能有一些但書的狀況之下可以放寬資本額的限制
transcript.whisperx[271].start 8198.858
transcript.whisperx[271].end 8221.186
transcript.whisperx[271].text 這個可能要請教勞發署這個可能要勞動部來回答委員提的這個是我們有接到非常多的反應我們也協調過好 勞發署蘇組長謝謝委員提問那我想這個具有新創事業的資格條件我們現在已經把它列為可以通案會商跟個案會商
transcript.whisperx[272].start 8222.126
transcript.whisperx[272].end 8245.779
transcript.whisperx[272].text 那目前已经核准在新创事业的外国技术人员的话也有2400人那这个委员的建议我们都可以在现有的法规里面在跟我们经济部或者是国客会相关的这些产业部会如果有需要的话我们都可以在就个别行业通案跟个人来会上来好谢谢
transcript.whisperx[273].start 8246.559
transcript.whisperx[273].end 8270.976
transcript.whisperx[273].text 那接著本席想要再請教經濟部跟國發會就是說低軌衛星的部件之前之於我國真的有很重要的這個戰略意義那這個題目因為本席今天我們在教文會我們的題目就是這個太空那今天我有跟太空中心來質詢那國科會今年是有正式要啟動通訊衛星製造產業化平台的計畫
transcript.whisperx[274].start 8271.917
transcript.whisperx[274].end 8293.023
transcript.whisperx[274].text 那經濟部也要透過鼓勵廠商來投入研發那來補助衛星通訊產業的預算又匡列了8.9億那本席認為說打造低軌衛星的這個護國星群相當的重要那畢竟作為台灣基礎通訊設施的這個備援那有關這個低軌衛星
transcript.whisperx[275].start 8295.064
transcript.whisperx[275].end 8310.103
transcript.whisperx[275].text 系統性的部件除了我們輔導廠商來投入製造我想也可能要跟國外來採購一些製造的關鍵的元件所以我認為在中國蓄意破壞我國的海底電纜然後意圖透過各種的形式來影響我們通訊穩定的狀況之下
transcript.whisperx[276].start 8312.566
transcript.whisperx[276].end 8333.255
transcript.whisperx[276].text 低軌衛星的這個戰略佈局相當重要所以想要請教我們在這方面到底有沒有什麼規劃或者是說因應中國日益的威脅那有沒有辦法來加速這樣的一個戰略佈局來強化台灣的這個全球通訊網路的韌性是不是先請經濟部回答再請國發會謝謝委員的關心我想我們很重要的就是
transcript.whisperx[277].start 8338.815
transcript.whisperx[277].end 8360.163
transcript.whisperx[277].text 要鼓勵我們的業者打入國際的供應鏈那這個部分我們做法的話有兩種一個就是用鼓勵研發的方式我們技術是有相關的計畫鼓勵業者做地面端的這些衛星的研發另外我們也主動的帶領我們的廠商跟
transcript.whisperx[278].start 8361.446
transcript.whisperx[278].end 8370.436
transcript.whisperx[278].text 國際間的主要的這個低軌衛星的業者有做互動例如像歐洲有很多的大廠這些我們都有協助做相關的媒合
transcript.whisperx[279].start 8373.775
transcript.whisperx[279].end 8403.175
transcript.whisperx[279].text 主委有话补充的这个是我们总统在提出的这个新代物产业里面很重要的次世代通讯主要是要打造国家一个更安全更稳更可靠的一个通讯系统那让我们在国家任性上面会更好那目前这个计划也提报就我了解提报到院然后也得到了支持那我们会持续强化在这个部分的国产化的制造跟发展
transcript.whisperx[280].start 8404.035
transcript.whisperx[280].end 8432.467
transcript.whisperx[280].text 目前的政策是這樣好謝謝謝謝主席好謝謝委員好謝謝伊金委員那我們下一位請林黛華委員發言來有請國發會主委跟教育部好請國發會跟教育部
transcript.whisperx[281].start 8434.704
transcript.whisperx[281].end 8449.663
transcript.whisperx[281].text 好 我們這一部外國專業人才延攬及僱用條例說在本席看了之後我覺得就兩句話第二個就是開放不足誘因匱乏如果比照
transcript.whisperx[282].start 8451.385
transcript.whisperx[282].end 8467.741
transcript.whisperx[282].text 這個當然我們都會說新加坡是一個完全百分百國際的城市他們在攬財留財甚至他們會是用一個更高層次的用移民的一個角度來做他們國內人才的補充來講
transcript.whisperx[283].start 8469.022
transcript.whisperx[283].end 8482.356
transcript.whisperx[283].text 他們在25年前就一個私城計畫 私執的私城市的城那其實就是他們的移民的一個法規如果就我現在本國現在提出來的行政院版本外國纜財對照他25年前我還是剛才講的那句話就是又因為這個開放不足
transcript.whisperx[284].start 8490.224
transcript.whisperx[284].end 8509.033
transcript.whisperx[284].text 又因匱乏但總是我們還是進了一小步那還是進步那剛才您的質詢當中您的對答說這個專業人才外國專業人留下來市城這麼少的原因是因為我們國內沒有雙語教育的環境
transcript.whisperx[285].start 8509.753
transcript.whisperx[285].end 8537.533
transcript.whisperx[285].text 好 那本席就針對國內雙語授教權的公平性跟你外國專業人才延攬及僱用這個條例如何兼顧國內雙語授教權的公平性我想了這個公平性什麼叫做雙語的環境它不是只有學校你們現在只開放這些專業人才的孩子只有到私立實驗學校私立
transcript.whisperx[286].start 8538.735
transcript.whisperx[286].end 8543.68
transcript.whisperx[286].text 那現在稍微再開放一點叫做科學園區內的實驗學校所以科學園區內的是誰管不是教育部管是國科會管雖然它的課程還是會受教育部所管這就是你所謂的這個只是它的授教你除了這些學校之外我們有沒有雙語環境
transcript.whisperx[287].start 8559.458
transcript.whisperx[287].end 8583.157
transcript.whisperx[287].text 同才之間 我這個所謂的外籍人士住在這個社區當中他要不要跟本國的小孩子接觸啊總是要吧 那我們的小孩子有沒有雙語能力啊沒有啊 因為我們的公立學校的外籍師資只限於教英文課 裡面教英文
transcript.whisperx[288].start 8583.897
transcript.whisperx[288].end 8591.934
transcript.whisperx[288].text 我們不允許他在英文課之外去教非學科的課程什麼叫非學科要聽好喔不是國語
transcript.whisperx[289].start 8595.835
transcript.whisperx[289].end 8605.482
transcript.whisperx[289].text 歷史 地理喔 不是這個 是數科所以我才叫非學科及數科其他的這些外籍的 你們現在都用前瞻計畫的預算來支持我們這些外籍師資的聘用可是外籍師資的聘用現在進到了私立學校 私立實驗學校或者進到現在的科學園區他們這些老師是可以在
transcript.whisperx[290].start 8623.276
transcript.whisperx[290].end 8642.408
transcript.whisperx[290].text 數科裡面甚至他要如果大膽一點在一些學科當中去教雙語是可以的可是你現在同樣用國家資源前瞻計畫拼的外籍師資到了我公立學校 不好意思他只能教什麼 他只能在英語課教英文其他在體育課在美術課 在家政課
transcript.whisperx[291].start 8647.773
transcript.whisperx[291].end 8668.131
transcript.whisperx[291].text 都不可以耶 音樂課都不可以教耶所以這些本行 那你覺得說你的為什麼你的專業人士的小孩沒有在雙語的環境裡面他根本活不下去啊因為他只限於私立學校全台灣有幾所私立的實驗學校可以教雙語沒幾所耶科學園區的這個實驗學校幾所 全台灣六所
transcript.whisperx[292].start 8675.615
transcript.whisperx[292].end 8697.294
transcript.whisperx[292].text 所以其實大部分公立學校的學生是不具雙語能力的你怎麼讓一個在本國的這個外籍人士的子女只有在哪裡可以受雙語學校內除了學校外之後整個我們跟他同儕之間的小朋友玩在一塊的時候是不具英文能力的
transcript.whisperx[293].start 8698.672
transcript.whisperx[293].end 8701.614
transcript.whisperx[293].text 所以這重點就是在於我本期要講的是你的開放還不足那我們就來看好這邊呢也針對一些人口結構這都你們講的這個為什麼要有這個法令啊的修改啊因為是國內缺財危機啦以及國際的淨財誘因啊國際淨財喔
transcript.whisperx[294].start 8718.388
transcript.whisperx[294].end 8722.493
transcript.whisperx[294].text 那產業全球佈局我們必須因應我們的產業來招攬人才那我國人口結構於2020年的時候死亡人數是大於出生人數的2020年也就是在大概這個五年前
transcript.whisperx[295].start 8733.485
transcript.whisperx[295].end 8740.591
transcript.whisperx[295].text 死亡人數大於出生人數再加上燒死化高齡化預計2070年這是你們講的也就是現在是2025年45年後我的人口的都會減少到百分還會再減少40%所以呢我們的產業怎麼承受這樣的國際競爭力我們的產業如何在國際高級專業勞動力的引進也就勢在必行了可是現在成效如何不好啊
transcript.whisperx[296].start 8758.846
transcript.whisperx[296].end 8761.488
transcript.whisperx[296].text 留下來的不高啊就是你的法律的開放根本就是激放觀不足然後誘因匱乏所以呢這個都是你們講的好那這個包括了我們未來的產業的重點就是說我們專業人力的引進是要契合國家發展的政策及國內產業的需求
transcript.whisperx[297].start 8779.72
transcript.whisperx[297].end 8782.061
transcript.whisperx[297].text 那針對未來產業的重點應該引領該領域的專業人士你們認為要高科技AI本行認為觀光旅宿會展影視文化產業國際貿易這些人才都需要都是需要這都應該要相對的來引進
transcript.whisperx[298].start 8796.449
transcript.whisperx[298].end 8813.609
transcript.whisperx[298].text 你們對於外籍教育人才其實你們只講兩個第一個放寬什麼放寬他的退休在你們修法的第27條說准用這些外籍人士只要在科學園區內的不好意思你只有倩語明定科學園區內的公立實驗高級中學
transcript.whisperx[299].start 8816.792
transcript.whisperx[299].end 8833.126
transcript.whisperx[299].text 六所 全台灣六所雙語的老師啊 准用公立學校所以私立的實驗學校的師資啊是不行的 是不能准用的這也是你所謂的專業人才所以呢 再來
transcript.whisperx[300].start 8834.627
transcript.whisperx[300].end 8852.293
transcript.whisperx[300].text 對於你為什麼讓本就優勢教師資源的園區的實驗中學拉大與非實驗中學甚至偏鄉學校的師資差距請藉機教育是翻轉偏鄉弱勢的最佳工具這是本席非常認為非常不公平的
transcript.whisperx[301].start 8854.574
transcript.whisperx[301].end 8877.091
transcript.whisperx[301].text 都是國家資源引進的私資他們的費用都是我國家出的為什麼只有在科學園區內的只有私立實驗學校的老師可以享有這樣的資源只有在這個退休 你這個退休不能只限於園區喔私立的外籍實在不行喔 我認為不公平
transcript.whisperx[302].start 8878.271
transcript.whisperx[302].end 8905.403
transcript.whisperx[302].text 好 再來你的教學資源應該不分公司力應開放專業人士可以一起專長任教2030年的雙語國家也不過剩5年向下仗跟培養產業儲備人才我們為什麼要推雙語教育就是為了替產業儲備人才我們看奪落2018年7年前的國教署的諮詢會議你們的專家就講了喔他建議說應該要開放高中職以下
transcript.whisperx[303].start 8906.824
transcript.whisperx[303].end 8926.871
transcript.whisperx[303].text 即使是非雙語的學校 你看你們的學者專家這樣的建議高中職以下的外籍師士的朋友不應限定在語言教學 就是在英語課教學為了因應高中職以下的英語實驗教學 譬如說沉浸式的英語教學或者是專業教育的國際化 高中職以下
transcript.whisperx[304].start 8927.951
transcript.whisperx[304].end 8954.68
transcript.whisperx[304].text 由各級學校依照實際的教學需求聘任該科目你們的專家學者還正面表列像音樂、藝術、餐飲、城市設計、設計等非學科的專業外籍人士來符合這些人都應該可以讓他們來教專業的科目而不是要求這些人只能教在英語課教英文才符合台灣學校的國際化我也讓
transcript.whisperx[305].start 8956.18
transcript.whisperx[305].end 8982.905
transcript.whisperx[305].text 這個主委我想教育部很清楚我們聘用的外資有一個條件一定要擁有這個教師證但是不要忽略了這些聘來的外籍老師合格外籍老師全部都是什麼大部分百分之八九十他都有專業學科的能力我是地理的合格的英文老師我是自然的英文老師我是美術的英文老師大有人在占了百分之八九十
transcript.whisperx[306].start 8983.886
transcript.whisperx[306].end 8986.452
transcript.whisperx[306].text 專門指示我是English as teacher的
transcript.whisperx[307].start 8988.196
transcript.whisperx[307].end 9012.65
transcript.whisperx[307].text 就是說我是純粹叫英語教學的老師其實是少部分的這個是你沒有善用你引進外資的優勢那教育資源不分公私立 我的本席主張我認為有四個不公平第一個 為什麼只偏立私立實驗學校及科學園區的實驗中學
transcript.whisperx[308].start 9014.011
transcript.whisperx[308].end 9032.063
transcript.whisperx[308].text 公立學校的外籍師資一樣是你公司員引進的為什麼不能開放他去教其他非學科的 也就是所謂的數科的課程呢 為什麼為什麼只有私立實驗學校的外籍老師可以在英語課以外的課程進行雙語教學而公立學校卻不行
transcript.whisperx[309].start 9033.288
transcript.whisperx[309].end 9056.144
transcript.whisperx[309].text 那公立學校的外籍老師在英語課之外也只也能教也希望能夠教非學科例如藝術跟體育課這個才叫做你善用你的資源啊第二個你說前瞻計畫所聘用的外籍師資僅有在英文課教英文這根本就不前瞻啊你們幹嘛放在前瞻你就放在你們的你們的這個經常門就好了啊
transcript.whisperx[310].start 9056.724
transcript.whisperx[310].end 9073.209
transcript.whisperx[310].text 把預算編多一點就好 根本還放在前瞻預算你們忽略了這些外籍師 也有其專業領域可以傳授這個根本就是一種浪費根本就不前瞻 沒有突破性 直接侷限第三個 外籍老師會強國本國老師的工作這一點我覺得這是錯誤的訊息 也是假議題
transcript.whisperx[311].start 9076.843
transcript.whisperx[311].end 9089.659
transcript.whisperx[311].text 主委教育部回答我外籍師資的名額是外加還是內涵第二個他會不會占到本國的缺第三個他是獨立教學還是協同教學來說明一下
transcript.whisperx[312].start 9092.349
transcript.whisperx[312].end 9108.843
transcript.whisperx[312].text 這個 謝謝委員喔 我能不能先針對國安會能回答的我不要 我先針對這一題 這一題才是重點教育部這邊會有一些團體跟他說你不能讓我的外籍 引進來的外籍師師到這個其他 來教其他的課喔因為他會奪走了本國的老師的權益結果這是假議題啊因為第一個外籍師師是外聘的
transcript.whisperx[313].start 9118.892
transcript.whisperx[313].end 9122.533
transcript.whisperx[313].text 第二個 他是外聘 他沒有用到勞基法他不可以使用勞基法所以他也不會占到本國老師的缺而且是外加名額 因為是聘用第三個 他不能單獨教學 他要協同教學所以一個課 你知道我們花了多大的成本你要做一個英文課 是兩個老師一個本國老師 一個外國老師在裡面教
transcript.whisperx[314].start 9146.079
transcript.whisperx[314].end 9162.951
transcript.whisperx[314].text 這樣的成本你竟然還不讓協同教學你不善用他你也讓本國老師跟外國老師一起學習啊所以這是你要回答嗎這一題這個可能要請教育部來教育部回答會不會政告本有國的缺會不會是不是外加名額是不是外加名額請回答
transcript.whisperx[315].start 9163.491
transcript.whisperx[315].end 9182.557
transcript.whisperx[315].text 是 謝謝委員的關切那這個名額部分我們了解是外加但是今天我們出席的是國際司跟人事處沒有國教署的同仁在場因為這個相當的國教署有啊 國教署專門委員王華盈那是不是請他王華盈 這邊你們寫的啊這個你們給我們經委 我們本委員會的
transcript.whisperx[316].start 9189.352
transcript.whisperx[316].end 9214.437
transcript.whisperx[316].text 出席的名單跟委員報告依照我們的各級學校申請偶爾教室聘任的一個僱用跟管理辦法他其實他的原則數其實在規範的第5條他會應該是受到外國語文總結束的限制所以他的原則雖然說是不是在我們的編制原則裡面但是因為學校總結束的限制他可能會有一些排擠的效用排擠誰
transcript.whisperx[317].start 9215.693
transcript.whisperx[317].end 9223.731
transcript.whisperx[317].text 就是因为外国语文的结束是固定的那如果说要有外籍教师跟本国教师一起去分摊的话它有一个总结束的限制
transcript.whisperx[318].start 9224.525
transcript.whisperx[318].end 9244.333
transcript.whisperx[318].text 那是時數的問題啊他有沒有他勞工權益的問題沒有啊第一個外退啊所以這是假議題嘛你自己你的授課時數那個是你們可以調整的啊你要增加他授課時數也可以啊那個都是你行政命令可以處理啦重點是他會不會占掉本國老師的缺不會嘛你講的不會對吧你搖頭了嘛
transcript.whisperx[319].start 9246.594
transcript.whisperx[319].end 9270.469
transcript.whisperx[319].text 對啊 所以你們不要被騙了教育部要堅持你國發會主委你聽清楚了嗎所以今天修法的時候不會佔外籍老師你來教非學科的部分是不會佔到本國老師的缺這是假議題而且是外加 而且我們還明定要協同教學本期也主張要協同教學不是本國老師也要學
transcript.whisperx[320].start 9271.509
transcript.whisperx[320].end 9289.654
transcript.whisperx[320].text 外籍老師也要學習 怎麼跟我們融入啊再來第四個 你就要看看現在各縣市在高雄我力推這個雙語教學我已經力退快將近十年了有時是EMI教學的學校的招生績效顯著啊家長反應正向且熱烈
transcript.whisperx[321].start 9290.754
transcript.whisperx[321].end 9308.292
transcript.whisperx[321].text 好 所以本席要看 主委你要講一下的話教育部要講一下我直接講 我這邊講的重點這個具體建議要邁向2030年的雙語國家本席主張高中職以下的外籍老師即使是非雙語學校不應限定在教語言課
transcript.whisperx[322].start 9308.973
transcript.whisperx[322].end 9325.646
transcript.whisperx[322].text 而且所以未來因應高中子以下的英語實驗教學如曾經式的英語教學或專業教育國際化來講那由各級學校依照實際的教學需求聘任該科目如音樂藝術餐飲程式設計或者設計等非學科講好
transcript.whisperx[323].start 9329.249
transcript.whisperx[323].end 9349.441
transcript.whisperx[323].text 不要給我亂做文章喔說要連英文歷史歷史地理自然都要教英文我不主張這件事情喔那個叫學科我說非學科也就是數科的專業學科以符合台灣國際教育法而且有這兩個要求第一個國發會這邊教育部這邊以約聘形式第二個共同備課協同教學
transcript.whisperx[324].start 9350.942
transcript.whisperx[324].end 9369.886
transcript.whisperx[324].text 所以根本就沒有佔用本國的錢而且我也善用你中公資源所引進的外籍實資然後呢你們我還給你們一個權利跟各部會去協調一下你到底如果說真的是公私立學校要評估特定領域如非學科美術啦體育啊你們可以來審查讓你們審查你們評估一下要不要去審查那甚至剛才評估的也
transcript.whisperx[325].start 9376.809
transcript.whisperx[325].end 9392.369
transcript.whisperx[325].text 對喬外申既然你們喬外申都願意讓他做永久居留的這樣的放寬的那評估讓他以英語為通用語或官方語言的喬外申聽好這句話遵守合法取得教師證的條件之下我不破壞教師證的條件
transcript.whisperx[326].start 9393.871
transcript.whisperx[326].end 9409.838
transcript.whisperx[326].text 那喬外申怎麼樣適度的開放參與國內雙語教學的工作機會你讓他留才啊 既然他的母語是啊 譬如說讓他可以上一些學程 教學還是不一樣你教一些學程 但是不好意思 你還是要依現有制度真的要合法老師 你就必須考我們的制度
transcript.whisperx[327].start 9415.501
transcript.whisperx[327].end 9423.329
transcript.whisperx[327].text 但是為了善用你的能力你有英語跟通用語或官方語言我如果善用它也留住這個外籍生的一個目標再來所以我提供我這邊主張你的修法第四條本條
transcript.whisperx[328].start 9431.357
transcript.whisperx[328].end 9457.754
transcript.whisperx[328].text 本法條的第四條第四項當中的專業工作當中的第五款修改文字改為公私立高中職以下學校進行雙語實驗教育聘請外師可以依其專長任教語言及語言以外之學科語言以外之學科並協助相關教學及教師研習培訓的工作他也可以參與啊所以我不曉得主委你怎麼看這樣本席的建議
transcript.whisperx[329].start 9459.159
transcript.whisperx[329].end 9464.804
transcript.whisperx[329].text 這個我們會 因為這個這個全程還是在教育部 我們會找教育部來演繹來教育部表達一下 知不知恥你知道 教育部要回答時候 你要知道你如果再不支持 我們再繼續好剛才我講的是七年前你們的專家學者會議已經提出來了本席111年
transcript.whisperx[330].start 9481.653
transcript.whisperx[330].end 9500.536
transcript.whisperx[330].text 也就是現在的四年前我就已經找你們來談這件事情了你們都還有時期的思路喔七年前也講 四年前本席在講今天四年後的2025年你再不開放沒有勞工權益的問題我說教育部你支持不支持本席這樣的提案呢
transcript.whisperx[331].start 9501.96
transcript.whisperx[331].end 9521.525
transcript.whisperx[331].text 協議委員建議我們會待會去研議所以是不支持是嗎我們會研議研議是不支持是嗎研議不支持還是研議支持講清楚應該說您的建議我們會幫到後續的一個你是因為來的層次太低嗎專委而已所以不敢講部長沒有來不敢講市長沒有來不敢講因為設計是研議反對
transcript.whisperx[332].start 9524.066
transcript.whisperx[332].end 9539.537
transcript.whisperx[332].text 我們是開放的意見我們是開放的意見延逸支持嘛來講清楚你是延逸支持本席的意見還是延逸反對本席的意見我們是開放態度來看這件事開放喔這是你講的莊委好那國發會來因為你還是主管機關啊他說他延逸開放啊
transcript.whisperx[333].start 9545.362
transcript.whisperx[333].end 9552.589
transcript.whisperx[333].text 所以本席會提修正動議我雖然沒有提要我提修正動議我們這一點還是會尊重教育部啦因為我們不是教育的專業
transcript.whisperx[334].start 9553.76
transcript.whisperx[334].end 9579.423
transcript.whisperx[334].text 是 是 是您這個答案我不支持 我不認同啊如果身為國發會的主委你都知道你的專業人才不能久留是因為他的他沒有在雙語的環境當中讓他的孩子受教育這是你的主因所以你既然說你還尊重教育部如果教育部跟你說NO你就不會去講到說你國際展財的一個盲點在哪裡你要去突破
transcript.whisperx[335].start 9580.714
transcript.whisperx[335].end 9587.238
transcript.whisperx[335].text 那你主委在做什麼?我們會去找教育部討論吧所以你是支持嗎?我們會朝這個方向來討論支持本席嗎?支持本席的開放的條件嗎?基本上方向你要延逸反對我也沒意見喔你延逸支持開放本席的這個建議那我就覺得沒關係只要有助於這個攬財我們都會站在那你覺得本席的意見有沒有攬財?
transcript.whisperx[336].start 9610.374
transcript.whisperx[336].end 9635.314
transcript.whisperx[336].text 這奇怪,你要讓我在這裡錄這麼久,你就不敢說我就是支持你的專業在哪裡你的方向是支持染財,我們基本上也會朝這個方向去溝通好,謝謝,以上好,謝謝大法委員我們未來修法的時候可以再仔細討論好,來下一位請賴瑞榮委員發言那我們是不是在陳秀寶委員發言後休息五分鐘,好
transcript.whisperx[337].start 9639.65
transcript.whisperx[337].end 9643.092
transcript.whisperx[337].text 好 謝謝昭緯 請劉主委請主委主委 那個全世界都在搶人才人才相當重要那我們在2017年開始通過這個外國人才專法之後也積極在搶人才那經過這八年我先問一下主委啦你對這樣我們爭取人才這樣的進度跟效果滿意嗎
transcript.whisperx[338].start 9666.769
transcript.whisperx[338].end 9681.721
transcript.whisperx[338].text 我們覺得有改善的空間所以我們這次再提修法所以還不夠啦還必須要再努力新教靈國最近的修法的動作來看我們應該要再強化要再強化啦 再做強化啦事實上我的看法也跟你一樣啦我們來看一下整個數字啦2017年到2024年幾乎都有在成長
transcript.whisperx[339].start 9685.043
transcript.whisperx[339].end 9707.93
transcript.whisperx[339].text 但是有時候成長2000有段時間好一點成長到6000甚至到9000但是這四年這兩三年幾乎都趨緩了甚至於可能受到疫情的影響等等的趨緩了那我先問一下在這個外國專業人才部分如果我們通過了行政院版的修法之後那可以達到什麼樣政策的目標會達到怎麼樣的效益我們目前疫情增加多少
transcript.whisperx[340].start 9708.47
transcript.whisperx[340].end 9724.64
transcript.whisperx[340].text 我們預期希望增加6670位在每年增加6670位就是如果依現在行政院版通過的話會預估會增加我們希望能夠再增加這麼多那就業金卡的部分其實在2018年開始之後也是有顯著的成長一樣每年大概1500、2000、2500、3000大概這樣速度增長
transcript.whisperx[341].start 9729.163
transcript.whisperx[341].end 9745.458
transcript.whisperx[341].text 去年大概是增加3000人我看一下去年數字去年2024年到12082人到今年4月13191人那預估這兩三年大概都是3000這樣增長的速度但是這樣的速度 主委滿意嗎
transcript.whisperx[342].start 9747.295
transcript.whisperx[342].end 9770.795
transcript.whisperx[342].text 我們現在是不滿意的對 應該還要再就國際在搶人才的速度我覺得台灣在這一塊還要再更積極一點那所以我的看法其實我是認同整個的我也覺得整個太慢了一點就是搶人才特別是我們少此話之後我們必須要想辦法在國內的這一塊的速度不一定有辦法如我們所願的順利增加但是國外這一塊
transcript.whisperx[343].start 9771.335
transcript.whisperx[343].end 9793.077
transcript.whisperx[343].text 我們是有一些競爭力應該要強化那但是我們自己設限的部分多了啦包括我們來看一下這次修的兩個第六條其實包括原來是從500現在增加到1000大嘛那第11條的部分是到前200名那主委我想要先再往下跳
transcript.whisperx[344].start 9794.378
transcript.whisperx[344].end 9816.724
transcript.whisperx[344].text 我們來看一下現在整個這個排名狀況 照我們講的這三個標準來看的話大概如果要到前200名的的話 大家可能台灣只有台灣大學這個等級的才能進來台灣大學等級的那這些還是只是就是開放他可以整個進來那如果是照第六條的部分你要到1000大 1000大的部分的話
transcript.whisperx[345].start 9817.324
transcript.whisperx[345].end 9844.796
transcript.whisperx[345].text 那甚至於他都已經可能有工作有人要請他囉但是如果照你限定一千大的標準的話我看連政大的連中山的甚至連一些台灣頂級私校這樣的水準的還進不了台灣這個標準主委這樣的會不會還是限制多了一點我的意思是說我們如果要真正要去攬財的話國際上很多很優秀的人才那如果我們設限這麼多有些是已經他都已經
transcript.whisperx[346].start 9846.076
transcript.whisperx[346].end 9874.905
transcript.whisperx[346].text 你要國外是台大等級的人那如果國外台大等級的恐怕他可能是去美國或者去新加坡找就挖光了對不對就是說我的意思是說你要有更好的纜財的那個的話我建議那個策略上要再做更多的放寬一點這樣才能夠把國際上的優秀人才來特別是有些是在第六條裡面已經都已經找到了機會舉個例子啦像世新比如台灣的世新他在新聞上可能相當專業但是他綜合性不見得是強的
transcript.whisperx[347].start 9875.865
transcript.whisperx[347].end 9892.731
transcript.whisperx[347].text 那你這個一排除掉的話國外的那種四星等級的學校大概都沒有機會來到台灣來那我的意思是說有可能台灣的廠商台灣的業者因為請這個等級的人來那就會受到限制主委你的看法呢各位您報告這兩個只是誘因之一不是全部就是
transcript.whisperx[348].start 9893.211
transcript.whisperx[348].end 9921.69
transcript.whisperx[348].text 他即使是在排名兩千名的他一樣可以申請過來即使他沒有大學畢業也可以申請過來只要符合我們的條件只是我們針對這最頂尖的部分增加誘因吸引讓他可以更快速的進來那以照現在來看那我先問一下如果照現在的院版的話那你們認為剛剛前面談的這兩個會增加的數會到多少我們估計是六千六百多位啦那金卡的部分會到多少
transcript.whisperx[349].start 9923.791
transcript.whisperx[349].end 9942.638
transcript.whisperx[349].text 金卡的部分我們現在金卡我們也在考慮要調整金卡有一個很大的門檻是月薪16萬這個門檻相當高我們有在考慮把它調降到即使到了專業人才的時候6600我認為還是有以現在需求人才的速度我認為還有更放寬的空間
transcript.whisperx[350].start 9949.8
transcript.whisperx[350].end 9971.607
transcript.whisperx[350].text 我覺得台灣在這一塊應該更思考美國、新加坡等大家其實都是靠優秀人才而去壯大國家的競爭力這兩個是特別優惠的部分那並沒有因為這樣而排擠其他的學校這兩個是一個指標的條文我的意思是說如果我們在整個裡面來看的話如果在第六條我們能夠放寬到比如說到
transcript.whisperx[351].start 9972.327
transcript.whisperx[351].end 9996.302
transcript.whisperx[351].text 前一千五百名這三個我看很多的數字有計算到了一千五前一千五百名的話就等同於我們類似於我們的國立大學的水準甚至我們頂級的私校的水準的都有機會進來那他在台灣都已經找到有人願意僱用他的他在其他國家也是等同我們這樣的水準的我認為讓他進來其實是是很好的攬財的這個啊那為什麼不考慮再做這個我們
transcript.whisperx[352].start 9997.563
transcript.whisperx[352].end 10023.483
transcript.whisperx[352].text 的確有在思考過這個問題喔因為譬如說您剛提到中山大學可能就中山就沒有欸就不在1000以內喔但在台灣也是頂級大學啦是啊那我們現在是這樣子喔就我們所知教育部在認定這個部分是採用QSTIME時報這種的連集US NEWS的連集那這個連集部分其實是會有1370家左右的57家左右的學校以去年來看的話那
transcript.whisperx[353].start 10024.964
transcript.whisperx[353].end 10041.4
transcript.whisperx[353].text 所以其實會帳面上是1000但事實上可以到1357所以我還是希望在這一塊因為我也會提出這個修法我希望再做一些方案就是即使是6000多人還是不夠我認為還是保守了一點我們可以再更
transcript.whisperx[354].start 10042.02
transcript.whisperx[354].end 10066.477
transcript.whisperx[354].text 如果連我們自己我們自己想像中啦如果連我們自己我們覺得很優秀的從輔大到東吳到東海甚至於到這個國立的幾個中山甚至於到成果如果連這些都不能符合到這些標準的話那我們在國外看待是怎麼在看待這件事情就我覺得我們的企圖心跟我們想要爭取那個力量是不夠更何況人家已經有願意聘請的原則在
transcript.whisperx[355].start 10067.017
transcript.whisperx[355].end 10093.195
transcript.whisperx[355].text 那包括甚至於你的第十一條的部分你要求前兩百大那我問一下主委前兩百大台灣幾間目前是一間就只有台大一間那我們的標準是定這麼高耶只有台大就是等於全世界其他國家等同我們台大水準等於是全以台灣算是相當強的我們競爭力都很強的我們的最高的最強的首府只有這個等級是我們要的這個部分我們有參考因為我們是參考英國跟日本
transcript.whisperx[356].start 10094.016
transcript.whisperx[356].end 10111.152
transcript.whisperx[356].text 那我們訂的比英國跟日本又再放寬一些我認為這個台灣可以再更大膽一點因為如果是專業的人才的話我認為其實到了前500大前500大的話大概都中山很多還不見得完全能夠就是中山這個等級的水準都不見得夠
transcript.whisperx[357].start 10113.113
transcript.whisperx[357].end 10138.056
transcript.whisperx[357].text 中山在五百大至少像中山、成大、清大、交大這些人在台灣的標準我們不會認為這是國外一定想搶嘛國外想搶台大、中山、這個清交的或者是成大這些人才他一定想搶啊那我們難道不要這樣等級的人才嗎所以我希望這個部分再做一些的放寬好不好我會提案進來我也希望國發會主委回去再思考一下我希望做放寬
transcript.whisperx[358].start 10138.877
transcript.whisperx[358].end 10166.375
transcript.whisperx[358].text 我們再看一下還不講到那邊還有裡面有些的像輔大到淡江那都一千多名的東海 逢甲都一千多名的都排到那邊去的難道這些人如果他有人願意聘請他的台灣的業者都願意聘請他第六條都願意聘請他的難道我們不要嗎我認為不要去設限住這麼多的一些條件我希望回去主委再思考因為還會有時間再來排審我覺得有時間會再思考要做就把那個
transcript.whisperx[359].start 10167.376
transcript.whisperx[359].end 10188.744
transcript.whisperx[359].text 盡量把人才我們希望是人才我們只要壞的把他有堵住就是不好的一些弊端我們把他擋住不要利用這個漏洞進來就好但是如果真的是人才真的是我們需求的人才應該要再想辦法放寬讓他進來這樣子才有辦法吸引更多優秀人才來到台灣讓我們的競爭力更加的強化好不好這請諸位再思考那最後我再問一個
transcript.whisperx[360].start 10190.305
transcript.whisperx[360].end 10213.726
transcript.whisperx[360].text 我看到整個在AI新十大建設我非常的認同這也是現在很重要趨勢過去的我們半導體產業各方面能夠成功其實就是我們不斷的政府有好的遠見方向來帶動起來那AI這一塊確實包括像高雄在九年前的時候也開始都在推這件事情了那現在也陸續看到了一些成果出來那我只提醒一點而已因為裡面有很多的
transcript.whisperx[361].start 10214.266
transcript.whisperx[361].end 10231.611
transcript.whisperx[361].text 包括以大代小包括智慧的一些中心包括超級電腦超級電腦現在也在高雄包括甚至於雙矽谷的一些計畫我希望主委還是要去注意到南北上的一些均衡上的發展不要只偏重在北部而已這件事情上面我希望還是要思考
transcript.whisperx[362].start 10232.031
transcript.whisperx[362].end 10253.773
transcript.whisperx[362].text 南部其實從嘉義台南到高雄到屏東其實有一個帶狀型已經逐漸在拉成了那如果能夠拉起來其實跟北部的台北、新北、桃園、新竹這個拉起來的動線其實能量上是會相當強大我希望能夠重視兩大軸心的一個發展我們就是希望這個年輕人要找這樣的工作不需要北漂啦
transcript.whisperx[363].start 10254.553
transcript.whisperx[363].end 10282.202
transcript.whisperx[363].text 讓我們在南部中部都有這樣的工作機會所以均衡發展會放在均衡AI的發展好不好這個一定要重視政府的力量用在哪邊其實那個不要讓南部只負責在提供電力提供這些的基礎而是他能夠真正得到更多的發展南部會是我們在暖體在包括AI發展的新核心單位尤其是最大的算力中心所以雙核心裡面雙矽谷裡面其中一個就是南部雙矽谷一個是大南方新矽谷
transcript.whisperx[364].start 10282.642
transcript.whisperx[364].end 10307.414
transcript.whisperx[364].text 那另外一個是在我們的暖體產業的發展會以這個高雄會辦的所以大南方新矽谷是在雙矽谷的範圍內對 雙矽谷就是請主委持續的來推動不要關注到區域均衡上的推動這個很重要因為對年輕人的薪資的平衡辦演很重要的角色而且對區域的發展會很重要而且不要讓過度於集中在某一些區域對 我們就不希望這樣所以我們特別希望這也是國家發展很重要的一塊好 謝謝好 謝謝
transcript.whisperx[365].start 10311.438
transcript.whisperx[365].end 10336.683
transcript.whisperx[365].text 好 謝謝賴瑞榮委員 那下一位請陳秀寶委員質詢謝主席 請國防會留主委請留主委委員早安
transcript.whisperx[366].start 10337.028
transcript.whisperx[366].end 10338.949
transcript.whisperx[366].text 主委好主委
transcript.whisperx[367].start 10367.128
transcript.whisperx[367].end 10393.518
transcript.whisperx[367].text 但是要如何維持競爭力這也是相關部會應該要謹慎面對的尤其如今因為川普政府的關稅政策我們經貿辦公室正在談判中同時輝達也宣布將落腳在本事科相對的對產業來說是有衝擊也有期待主委我想請教您在這樣的情況之下國發會目前有沒有評估明眼競爭力我們是不是可以依舊維持在前六的名次哪些是我們國發會認為應該要加強的
transcript.whisperx[368].start 10396.599
transcript.whisperx[368].end 10413.784
transcript.whisperx[368].text 我們現在要比較加強的是在我們延攬人才的這個領域那所以我們也希望委員們能支持我們這次修法讓我們在攬才人才的部分能夠再更加的強化那這塊是我們目前的首要目標
transcript.whisperx[369].start 10414.804
transcript.whisperx[369].end 10436.599
transcript.whisperx[369].text 是增加我們攬財的誘因留住好人才 吸引好人才這個是我們大家努力的方向但是除了國家競爭力的部分我們國發會要留意之外我也希望我們國發會這邊把基本功要做好你們要留意你們相關網站提供的民眾訊息是不是正確以下這個畫面你們看一下這是就業金卡的網站本期發現上面有缺字及
transcript.whisperx[370].start 10437.719
transcript.whisperx[370].end 10464.331
transcript.whisperx[370].text 原引的法條是有物質的情況你看一下紅框的部分外國特定專業人才那個才就不見了有缺字的狀況那紅線裡面所列的就是外國一般人才及外國特定專業人才申請永久居留的要件分別是依據外國專業人才延攬及雇用法的第十四條第一項及第十六條第一項但是經過本席的確認外國專業人才延攬及雇用法關於外國人一般的專業人才及外國特定的專業人才
transcript.whisperx[371].start 10467.313
transcript.whisperx[371].end 10483.468
transcript.whisperx[371].text 申請永久居留的要件呢是規定在第十四條第一項及第三項本席也去查閱過去修法的記錄外國特地專業人才申請永久居留要件從沒有規定在第十六條過第十六條規範的是獲得永久
transcript.whisperx[372].start 10484.289
transcript.whisperx[372].end 10508.708
transcript.whisperx[372].text 居留的許可之後他的配偶未成年子女以及身心障礙無法治理的相關的未成年子女的這個條件所以這個是我們的法院有誤指的這個我想請教一下就業金卡網站我們國發會多久會維護一次這個對我們隨時會更新但是謝謝委員的指正我們也會全盤檢討隨時會更新但是這個明顯的錯誤沒有發現嗎一直都沒有發現嗎你說明一下吧
transcript.whisperx[373].start 10514.629
transcript.whisperx[373].end 10526.478
transcript.whisperx[373].text 謝謝委員關心喔就有關第14條這個部分是本人的一個居留的規定那第16條是眷屬的規定所以是分開的規定的
transcript.whisperx[374].start 10528.325
transcript.whisperx[374].end 10548.686
transcript.whisperx[374].text 但是你要把它分開一些因為有一些相關的就是他需要這些相關的法律的這些依據的人他去看的時候就是會誤解那因為我們推動這個就業金卡是我們很重要的業務就是我們台灣要在招攬優秀國際人才重要的管道所以這些相關的任務我希望是標示清楚的
transcript.whisperx[375].start 10549.267
transcript.whisperx[375].end 10560.859
transcript.whisperx[375].text 謝謝韋文我們會全面來檢討關於他本人適用的跟他的眷屬適用的這個部分你要標示清楚了那所以你們這個去相關的內容再去盤點過修正過你們大概需要多少時間需要多少時間
transcript.whisperx[376].start 10565.217
transcript.whisperx[376].end 10577.203
transcript.whisperx[376].text 應該一週內就可以解決好那接下來要就我們全球都在搶AI人才我們台灣如何吸引人才來台這個部分來請教主委根據國發會發布的重要統計資料手冊顯示統計到今年的3月就業金卡總共發了12,941張
transcript.whisperx[377].start 10586.527
transcript.whisperx[377].end 10611.497
transcript.whisperx[377].text 但是一半的都合法在經濟領域科技領域大概只有發出2376張換句話說我們在吸引科技領域的人才來台我們國發會這邊還是要繼續努力那我們台灣正值AI產業的這個發展的關鍵時刻國發會跟國客會有沒有針對如何吸引國際高科技人才來台發展的相關事業來進行討論或者說要如何密切的合作
transcript.whisperx[378].start 10613.6
transcript.whisperx[378].end 10627.978
transcript.whisperx[378].text 這個部分我們定期有在做溝通那也跟委員報告在這個科技領域是針對國科會的特定領域那如果是進到科技製造比如說在ICT產業半導體產業的話它是歸在經濟領域裡面
transcript.whisperx[379].start 10631.943
transcript.whisperx[379].end 10644.466
transcript.whisperx[379].text 所以它這裡面就會有就造成經濟裡面會有數位跟科技那也許我們回去檢討看怎麼樣把它在細分類能夠細得清楚一點你們跟相關的部會還是都會持續的密切的來討論尤其在AI人才上面我們是跨部會四個部會有在溝通
transcript.whisperx[380].start 10654.729
transcript.whisperx[380].end 10664.453
transcript.whisperx[380].text 最近中國的百度宣布進行頂尖技術人才招募計畫它聚焦在大模型的演算法及大模型基礎架構這些相關的AI領域該計畫的職位招募將擴增到60%薪資更是沒有上限
transcript.whisperx[381].start 10672.137
transcript.whisperx[381].end 10682.938
transcript.whisperx[381].text 所以在面臨中國企業以無上限的薪資條件之下我們台灣要招募相關AI的科技人才也是會增加困難那我們國發會這邊有沒有什麼因應的措施
transcript.whisperx[382].start 10684.168
transcript.whisperx[382].end 10702.895
transcript.whisperx[382].text 我們目前有一個措施就是希望透過支持做補助支持然後讓最頂級的人士就等於是我們譬如說以國科會或者是經濟部要主動要求過來的人才那我們就以他薪資的支持
transcript.whisperx[383].start 10703.755
transcript.whisperx[383].end 10721.058
transcript.whisperx[383].text 那這種主動挖角的部分我們會朝這個方向去做在薪資上會有更優渥的待遇這樣的一個誘因讓可以有國際級的競爭因為我們看到很多國家都有利用這樣的方式去把諾貝爾獎得主等等的吸引過來來做這個事情的讓產業能夠發展所以我們也希望強化在這個領域
transcript.whisperx[384].start 10723.5
transcript.whisperx[384].end 10746.357
transcript.whisperx[384].text 其實我們在吸引國際人才的時候說薪資這樣子一個很重要的一個項目之外我們其實還是可以提供一些額外的誘因來吸引這些人才例如說自由的民主這個還是世界競爭力聯報認證的台灣的自由是第一的然後獨特的文化還有便捷生活以及我們很有人情或者是相關的溫暖都可以是我們台灣的優勢所以這邊也希望說國發會這邊我們更積極的來辦理
transcript.whisperx[385].start 10749.16
transcript.whisperx[385].end 10754.71
transcript.whisperx[385].text 好 那主委您請回我想請中科管理局的江祖密來 請江祖密
transcript.whisperx[386].start 10767.976
transcript.whisperx[386].end 10789.21
transcript.whisperx[386].text 主委好主委好這次我們外國專業人才延攬及僱用法第27條增訂了實驗中學外籍教師准用公立學校教職員退休之前撫恤條例可以擇一來支領一次退休金或是月退休金提升實驗中學外籍教師的保障這個本席的熱鍵期程我是支持的
transcript.whisperx[387].start 10789.75
transcript.whisperx[387].end 10799.211
transcript.whisperx[387].text 但未來各科學園區遇見還要持續增設雙語班的部分目前我們在招聘外籍教師有沒有遇到什麼困難
transcript.whisperx[388].start 10800.457
transcript.whisperx[388].end 10820.569
transcript.whisperx[388].text 其實我們現在在正聘這些老師的時候因為沒有這27條的相當相關保障嘛那所以就會造成老師流動率比較高那我們的實驗中學每年暑假大概都要到國外再去領選甄選這些老師所以希望我們是透過這樣的保障措施讓園區的這個雙語
transcript.whisperx[389].start 10823.243
transcript.whisperx[389].end 10842.353
transcript.whisperx[389].text 部的這些教育還有發展能夠更加的完整然後發展能夠更加的主面的意思是說我們透過這樣的修法我們增加它的保障所以對我們延攬人才教師就會比較有利那本席這邊也向國科會確認未來外籍教師的公題退輔金額將由國科會這邊負擔
transcript.whisperx[390].start 10844.494
transcript.whisperx[390].end 10871.256
transcript.whisperx[390].text 那除了高科時鐘現在還沒有外籍教師之外目前大概年增700多萬的預算但是在全數聘滿的情況下像加科時鐘還要再增加10元平科時鐘要增加10元加科時鐘增加11元還有高科時鐘有12元還沒有聘進來如果我們是滿額的話預算會更多那我們相關的預算是不是也要去能夠相關
transcript.whisperx[391].start 10872.977
transcript.whisperx[391].end 10894.971
transcript.whisperx[391].text 可以足夠來支應是的 相關的部分我們到時候會看各個學年度所增加的人數然後再來同籌一些相關經費的需求好 那除了外籍教師的薪資保障之外本期這邊也希望各管理局我們要留意實驗中學的這些相關的教學環境希望師生的權益我們都能夠兼顧都能夠保障以上 謝謝謝謝 謝謝委員
transcript.whisperx[392].start 10899.923
transcript.whisperx[392].end 10902.565
transcript.whisperx[392].text 好謝謝秀巴委員那我們先休息5分鐘
transcript.whisperx[393].start 10922.403
transcript.whisperx[393].end 10922.543
transcript.whisperx[393].text 現在製造業
transcript.whisperx[394].start 10977.005
transcript.whisperx[394].end 10978.447
transcript.whisperx[394].text 他就說 工他就說 工他就說 工他就說
transcript.whisperx[395].start 10996.449
transcript.whisperx[395].end 11001.59
transcript.whisperx[395].text 然後再來就是說,它的選擇的櫃子都是可以用的一個是都用的,一個是需求的,超貴的
transcript.whisperx[396].start 11024.673
transcript.whisperx[396].end 11042.497
transcript.whisperx[396].text 因為這樣子是需求的,一定要先注意的我看我還沒按好沒有用不會啦,就來給你機會了對啊,不錯三次三次,所以我們要再更多的
transcript.whisperx[397].start 11057.757
transcript.whisperx[397].end 11060.659
transcript.whisperx[397].text 中文字幕志愿者 李宗盛
transcript.whisperx[398].start 11074.391
transcript.whisperx[398].end 11077.273
transcript.whisperx[398].text 一切一切加加一切一切加加一
transcript.whisperx[399].start 11102.517
transcript.whisperx[399].end 11104.338
transcript.whisperx[399].text 這個很小的,因為想要維修
transcript.whisperx[400].start 11125.913
transcript.whisperx[400].end 11128.354
transcript.whisperx[400].text 这边都好细腻,不败啊
transcript.whisperx[401].start 11151.241
transcript.whisperx[401].end 11157.971
transcript.whisperx[401].text 來,還是不要坐在那邊,所以主要是要用麥克風上,所以站起來,一跳就站起來
transcript.whisperx[402].start 11169.218
transcript.whisperx[402].end 11169.538
transcript.whisperx[402].text 這個很好用
transcript.whisperx[403].start 11198.758
transcript.whisperx[403].end 11200.699
transcript.whisperx[403].text 對他來講,他應該是一個很積極的教授
transcript.whisperx[404].start 11227.366
transcript.whisperx[404].end 11246.286
transcript.whisperx[404].text 好 我們繼續開會那下一位請呂玉玲委員質詢謝謝主席 請劉主委請主委
transcript.whisperx[405].start 11256.124
transcript.whisperx[405].end 11272.019
transcript.whisperx[405].text 主委我們今天特別排審要外國專業人才的延攬跟雇用法的修正那尤其是因為面對著少子化跟高齡化的趨勢所以人才有短缺的情形非常的嚴重
transcript.whisperx[406].start 11273.12
transcript.whisperx[406].end 11278.585
transcript.whisperx[406].text 那所以我們希望我們在整體國家的經濟方面跟人才的人工智慧方面的發展我們還有半導體等等這些的研發的量能我們需要很多的外國人才進來我們這邊所以我們對人才的協助跟產業的轉型
transcript.whisperx[407].start 11291.715
transcript.whisperx[407].end 11312.306
transcript.whisperx[407].text 這就是我們這次針對修法看如何去放寬或者是能夠鬆綁讓人才可以進來的方式不管是他的工作限制啦或者永久的居留或者是社會的保障等等這些層面都是我們努力的方向那尤其是讓他們能夠留在台灣生根這還最重要的所以我們很多的計畫都要
transcript.whisperx[408].start 11314.167
transcript.whisperx[408].end 11334.98
transcript.whisperx[408].text 趕快的來做一個規劃讓他們有些誘因可以引導他們能夠進來我們的台灣那可是因為之前有這個新冠疫情的關係讓很多的工作都情態上都有改變那尤其是遠端工作也變成一個常態那我今天要提的這個人才部分的話是針對於
transcript.whisperx[409].start 11336.2
transcript.whisperx[409].end 11355.691
transcript.whisperx[409].text 數位這個游牧的這個風氣現在慢慢的在全世界全球都已經興起了沒有固定的工作室或者辦公室就是提了一台電腦就可以在世界各地來做一個工作那針對這一方面的話大概全球上有這樣子工作性質的大概有3500萬人在數位牧民
transcript.whisperx[410].start 11360.677
transcript.whisperx[410].end 11367.539
transcript.whisperx[410].text 主委你知道數位牧民嗎我知道那尤其是在這個1月份的時候你們有提出來這個數位遊民來這個簽證的話遊牧的簽證有半年的時間那現在我們要提的就是說這個半年要提高到兩年的時間能夠吸引他們能夠留在台灣時間會能夠更久能夠幫助我們產業的轉型或者是我們地方的創生等等這些方面
transcript.whisperx[411].start 11388.024
transcript.whisperx[411].end 11411.631
transcript.whisperx[411].text 我們看到這個數位游牧的這個簽證這個方式也是我們延攬人才最快速的一個方法但是在這個人才的延攬跟這個僱用法的第14條裡面特別有提到這個游牧簽證這個數位牧民的這個造訪台灣的一個方式但是我想請問一下因為你一月份就公布了
transcript.whisperx[412].start 11412.031
transcript.whisperx[412].end 11439.511
transcript.whisperx[412].text 我快先請問一些數據喔這個1月份到現在6月囉有半年囉如果說1月份就簽證的話到現在半年時間也到了請問主委現在有多少人來辦這個申請這個遊牧簽證的我先跟委員報告我們在國際上有一個網站是讓數位牧民去去公告他分享他現在人在哪個地方是 擔任數位牧民那目前這個網站上面大概有3000人在台灣
transcript.whisperx[413].start 11440.811
transcript.whisperx[413].end 11456.701
transcript.whisperx[413].text 來臺灣申請的嗎?不是,他註記他...我是請問來臺灣申請的?我跟委員說明...錢就很多啊,錢就三千五百萬啊那委員我跟您報告因為當時我們公告的時候法令被沒有修改所以我們現在...法令是六個月是嗎?我們的六個月是跟一般的簽證是一樣的你1月1號公告是六個月嗎?
transcript.whisperx[414].start 11457.441
transcript.whisperx[414].end 11477.08
transcript.whisperx[414].text 那有一些國家的人進來的時候呢這個六個月是利用現有的法令所以有些人過來的時候所以我請問你一月份到現在有多少人申請了對 我跟您說明喔他現在過來的時候他本身你沒有數據是不是啊他不用簽他不用申請數位移民簽證就可以有六十天的國家也不算少數這是六十天 六個月 我講六個月對
transcript.whisperx[415].start 11479.122
transcript.whisperx[415].end 11484.856
transcript.whisperx[415].text 就六個月一樣 它造成它並沒有太好的誘因那所以我們才希望比照 比照鄰近的國家那你有數據嗎 有人來申請嗎 優木簽證
transcript.whisperx[416].start 11490.066
transcript.whisperx[416].end 11513.882
transcript.whisperx[416].text 主委 我一直問你我的辦公室也跟你們要資料你們一直都沒有提供資料是因為這個成效不好還是你們數字很難看你一直不肯提供出來的因為我們在推動的過程中有沒有 有人申請嗎問你有沒有人申請因為在推動的過程中有不同的方式可以進來都是達到現在的六個月所以它沒有辦法有一個準確的數據但是等我們這個法令如果過
transcript.whisperx[417].start 11514.682
transcript.whisperx[417].end 11527.026
transcript.whisperx[417].text 那數位牧民就會透過這個來申請各種方式過來都有申請我現在是請問你1月1號公布的遊牧簽證有人來申請嗎有沒有人 主委針對我的問題有沒有人來申請委員你應該看有多少人待在台灣那網站上公告出來的是3000人
transcript.whisperx[418].start 11532.984
transcript.whisperx[418].end 11559.129
transcript.whisperx[418].text 所以我剛剛問你嘛 是三千人來台灣嗎 你說不是三千人目前在台灣擔任數位牧民是在數位牧民網站上的我就要這個數據嘛 三千人所以他們三千人雖然到台灣但是沒有申請游牧簽證你的意思是這樣子嗎他未必會申請那個游牧簽證通過別的方式 但是就沒有游牧簽證所以你這樣好 你這樣政策沒有人去跟你申請因為我們並沒有 我們當時是一個過渡型的方案
transcript.whisperx[419].start 11559.989
transcript.whisperx[419].end 11567.292
transcript.whisperx[419].text 所以我們在決定做的時候還沒有進行這個修法那我們利用這次的修法就會有游牧簽證我們就開始招攬數位牧民進來我們公告就是我們推動數位牧民我們希望吸引數位牧民也跟委員報告
transcript.whisperx[420].start 11581.617
transcript.whisperx[420].end 11602.064
transcript.whisperx[420].text 我們在台南台東我們都有正式的活動然後跟縣市合作我們也辦超過十場我們在上個禮拜我們也辦了我們在亞洲的一個數位牧民那我們也跟日本跟韓國都簽了一個互相介紹數位牧民的活動所以這一切都在努力的進行中剛剛在你的口中有說到那我希望委員也要能夠支持這樣的活動
transcript.whisperx[421].start 11602.844
transcript.whisperx[421].end 11623.841
transcript.whisperx[421].text 我非常支持 所以我今天才針對這個問題我們擔心著我們國內的人才不足的問題所以我今天請教主委你剛才說郵募簽證郵募簽證我再問你旁邊的人也可以提供給主委資料有沒有人來申請郵募簽證現在各國郵募簽證都是一年到兩年我們台灣申請郵募簽證主委 有沒有提供資料給主委嗎有沒有提供資料給主委主委沒有人來申請 一個都沒有
transcript.whisperx[422].start 11632.475
transcript.whisperx[422].end 11640.163
transcript.whisperx[422].text 我們有來申請 但是我們需要再去統計多少人我們需要再去統計 可是這個統計數字我跟您有資料可以高手了 你到今天還不知道我們會問你這個問題嗎你資料都被我提供給我們辦公室我們只是要告訴委員 這個數字目前是不精準的因為它有不同的管道進來
transcript.whisperx[423].start 11647.751
transcript.whisperx[423].end 11651.813
transcript.whisperx[423].text 但是我們將來數位牧民的核准之後他要擔任的就只有這條路可以進來您可以上網去查目前有3000人呆在台灣3000個數位牧民呆在台灣您可以上網去查
transcript.whisperx[424].start 11667.18
transcript.whisperx[424].end 11683.404
transcript.whisperx[424].text 那委員請問一下申請簽證比較重要還是待在台灣比較重要?當然待在台灣比較重要啊所以我們應該重視這三簽證怎麼樣讓它可以做得更好所以他們沒有跟你申請遊牧簽證但是它是數位牧民它叫做數位牧民啊你們有給它個名稱叫數位牧民嘛對不對這不是我們給的這是規矩通用的
transcript.whisperx[425].start 11689.145
transcript.whisperx[425].end 11703.432
transcript.whisperx[425].text 沒有人來申請游牧簽證但是載到台灣數位牧民有三千人是這樣子的意思我們已經在招攬我們辦了十場活動在吸引這些人進來主委不要再跟我辯解了你會後提供我數據
transcript.whisperx[426].start 11707.15
transcript.whisperx[426].end 11721.216
transcript.whisperx[426].text 會後提供數據好不好你提供給我數據來申請遊牧簽證的人有多少人現在單單你剛才講說有3000名叫數位牧民OK這些數據你都明確給我那我接下來
transcript.whisperx[427].start 11725.017
transcript.whisperx[427].end 11741.368
transcript.whisperx[427].text 我們跟主委要討論的是我非常重視這個數位這個牧民來到台灣可以協助我們產業的轉型可以協助地方的創生但是我們怎麼樣讓他留下來不要說六個月六十天完畢之後就走人了
transcript.whisperx[428].start 11742.455
transcript.whisperx[428].end 11758.644
transcript.whisperx[428].text 目前有三千人留在台灣還是他們也可以回到他們的國家也可以去到國外去 別的國家去做這個牧民 數位牧民在留在台灣目前你怎麼 他沒有跟你申請你怎麼知道他就是數位牧民留在台灣有三千人這個數據非常精準
transcript.whisperx[429].start 11762.026
transcript.whisperx[429].end 11785.614
transcript.whisperx[429].text 然後接下來我要請問主委就是說那你怎麼樣的誘因讓他能夠留在台灣因為他們來到我這邊你看就三千人就好了他們的十一住行能夠幫助台灣的經濟還有幫助台灣的觀光體驗台灣的生活你體驗台灣生活怎麼讓他能夠留下來喜歡台灣留下來幫助我們的產業這才是我們最重要的訴求對不對
transcript.whisperx[430].start 11786.594
transcript.whisperx[430].end 11811.221
transcript.whisperx[430].text 是不是那現在他們的環境上來到台灣你看他一待就要兩個月60天不是60天就是6個月未來我們修法可能提高提高到兩年的時間他們這些時間留在台灣的人不可能都住到大飯店裡面去對不對那他們的旅宿的問題跟他們居住的問題就是很重要的在這點上你們有沒有特別優惠跟協助他們的
transcript.whisperx[431].start 11811.781
transcript.whisperx[431].end 11826.252
transcript.whisperx[431].text 有的我們現在目前已經跟兩個縣市已經在合作就是台南跟台東那台南提供他們共享辦公室那我們在台東共享辦公室住的問題呢除了共享辦公室以外也會有住宿的優惠那
transcript.whisperx[432].start 11827.172
transcript.whisperx[432].end 11854.984
transcript.whisperx[432].text 這個之外我們現在提供會建立一個一站式服務的網站那協助他們在串聯地方的資源然後呢建立一個生態環境那另外同時我們也會鼓勵他們跟本地的青年一起合作然後呢成立公司成立公司也可以來申請我們國發基金的天使投資但是我們投資的是本國人所以他必須要跟本國人一起我們希望讓外國人帶動本國人
transcript.whisperx[433].start 11856.385
transcript.whisperx[433].end 11871.996
transcript.whisperx[433].text 日前我也跟台東縣的縣長我們有碰面參加我們吸引全球數位牧民的活動他親自來台北那我們也討論到怎麼樣協助利用這群人協助台東建立未來的數位產業因為這些都是數位人士能夠協助花東建立一個新綠色產業所以我們也有一些採討你也規劃在創新創業100計畫裡面嘛這個部分裡面就可以協助他們除非說這個
transcript.whisperx[434].start 11884.184
transcript.whisperx[434].end 11907.689
transcript.whisperx[434].text 百萬投資創業的問題但是 主委還有一個問題就是說一般你剛剛提到兩個省市嘛台南跟哪裡跟台東台東喔那我們現在是說他們來台灣我們要給他很多的誘因不只是說他們台灣的治安很好或者我們高速的網路覆蓋率也很高還有便捷的交通等等這些都大概都在六都裡面
transcript.whisperx[435].start 11908.329
transcript.whisperx[435].end 11933.628
transcript.whisperx[435].text 都是在都會區裡面那偏鄉的話怕他們不願意到偏鄉去偏鄉不容易有發展那地方創生的話大部分大部分也都在比較靠近偏鄉的方面所以我們怎麼樣去引導他們可以往我們這個比較地方創生幫助我們年輕人可以來做更好的計畫台灣最大的優勢就是我們的網路遍及全島都是非常
transcript.whisperx[436].start 11935.129
transcript.whisperx[436].end 11950.22
transcript.whisperx[436].text 我們相較其他幾個國家包括新加坡我們的網速都比較快那所以第一個他們就業環境所需要的網路我們是比較容易便捷的再來我們的生活性價比跟我們的環境跟我們的醫療體系都非常具備吸引力
transcript.whisperx[437].start 11950.68
transcript.whisperx[437].end 11972.179
transcript.whisperx[437].text 所以在國外的 主委你剛剛講的沒有錯我剛剛提醒你的六都都沒有問題偏鄉方面你要怎麼樣去加強所以很多的政策我們不是一廂情願的沒有辦法提供它更完善的不管是居住環境還是郊都的配套台東就不是六都喔我們跟台東也很積極在合作它就不是六都它現在也有一百多位蘇文明在台東
transcript.whisperx[438].start 11973.291
transcript.whisperx[438].end 11984.186
transcript.whisperx[438].text 是 所以我們希望 主委在我們數位牧民的這個推動之下我們希望地方創生可以給他們實質的貢獻這樣才真正能幫助我們的年輕人 好不好好的 謝謝好 謝謝謝謝薇婭
transcript.whisperx[439].start 11989.877
transcript.whisperx[439].end 12002.589
transcript.whisperx[439].text 謝謝李玉玲委員那我們中午我們就是先開會到12點30分休息然後再繼續開會好那我們下一位請陳清輝委員發言主席謝謝我也想請主委來有請主委
transcript.whisperx[440].start 12019.766
transcript.whisperx[440].end 12046.639
transcript.whisperx[440].text 主任我们现在要开始推动这个外国人才修法这个是非常好的因为我们现在很缺工所以我们更需要去锁定外国这些高端还有尖端的人才但这个是实际上许多案例会遇到的问题您可能也略知一二了就是说我们必须先符合劳动部主管所规定的救福法第46条中的内容那再来符合国发会认定的九大领域
transcript.whisperx[441].start 12047.219
transcript.whisperx[441].end 12073.876
transcript.whisperx[441].text 但并不是所有的业别都可以同时符合这样子的两个需求所以我先举个例子给你们看第一个就是我们会限制他在救福法的第46条我圈起来的地方12356等等那就是刚很多人所提到的不管是老师啊主管啊专业技术的工作运动人员艺术人员演艺工作等等那
transcript.whisperx[442].start 12075.177
transcript.whisperx[442].end 12096.031
transcript.whisperx[442].text 第一項又細分成A01到A15可是現在有很多新興的產業比如說台灣的酒吧文化就很盛行我們甚至有許多酒吧是亞洲前50名的所以假使我們要讓很有名的調酒師來表演或是工作或是授課薪水超過15萬
transcript.whisperx[443].start 12097.572
transcript.whisperx[443].end 12100.596
transcript.whisperx[443].text 目前我們遇到實際的陳情難就是被卡被卡了好幾個月因為他沒有辦法同時被勞動部認定又被你認定我知道國發會主委您的利益非常的良好那你也特別把你的九大項目
transcript.whisperx[444].start 12115.514
transcript.whisperx[444].end 12131.271
transcript.whisperx[444].text 弄得非常的有彈性可是你第一關就是卡在勞動部的時候就沒有辦法這個就是上次我們處理的案例最後他必須要用列舉的方法才可以讓他符合專門性或者是技術的工作因為當時勞動部的主管
transcript.whisperx[445].start 12133.453
transcript.whisperx[445].end 12148.804
transcript.whisperx[445].text 他就他的工作內容他沒有辦法實際去判定他到底算不算是他的主管機關因為他可能有教學也有表演是歸文化部還是歸衛福部等等這一點您未來會遇到越來越多不知道您現在是不是有解決的方案
transcript.whisperx[446].start 12151.236
transcript.whisperx[446].end 12165.074
transcript.whisperx[446].text 我們目前是在我們的第四條的第二款裡面我們有認定這些領域之外有一個極其他領域的特殊專才那這個極其他就具備一個可檢討的彈性
transcript.whisperx[447].start 12167.196
transcript.whisperx[447].end 12186.229
transcript.whisperx[447].text 我認為也許可以善用這一點來解決委員所提到的未來會有很多新興產業的產生那這個產生的確會跑出來非常多尤其是大數據產生很多新的職業我們都希望能夠利用這個來做一個彈性的解釋讓他可以盡早的適應
transcript.whisperx[448].start 12186.929
transcript.whisperx[448].end 12197.337
transcript.whisperx[448].text 好 我只是想跟主委報告您這邊保持彈性但是前面的救福法那邊假使沒有保持彈性還是會遇到很多問題等一下我舉他們後來是用怎麼樣的方法來處理可是這個處理的方法行不通你只會一直重複在做同樣的事情
transcript.whisperx[449].start 12205.644
transcript.whisperx[449].end 12226.538
transcript.whisperx[449].text 這是另外一個案例 這個案例是國外很優秀的主廚級老師來台要開班授課結果也是因為舊輔法卡住了 這個框架卡住了我們沒有相對應的專業工作類別因此他先開了課 結果他卻沒有辦法依照他原本所開課的時間來做教學
transcript.whisperx[450].start 12230.2
transcript.whisperx[450].end 12259.039
transcript.whisperx[450].text 我覺得你要做的是當然你也同意有很多的新興業別但是他就找不到他的主管機關去快速審核讓勞動部來放寬所以你看最後這些案例最後都是得靠幾個月這樣子磨磨磨跟勞動部磨然後他們必須要含釋那再把它一一列入這個是不是有專門技術性所以我剛講他就列了一二三四
transcript.whisperx[451].start 12260.26
transcript.whisperx[451].end 12279.196
transcript.whisperx[451].text 但未來呢數位轉型新型態的產業企業發展發展模式都會不斷的推陳出新這些產業出來的速度比不上我們修法的速度所以你是不是要怎麼樣來跟勞動部來做協調才會更有效率呢對這個
transcript.whisperx[452].start 12281.355
transcript.whisperx[452].end 12300.195
transcript.whisperx[452].text 這個部分我想我們來跟勞動部做一個協調然後來看看有沒有什麼比較更快速的方法因為照原來就我的認知我們現在已經有授權勞動部可以直接彈性的認定但是看起來在認定過程中會產生委員所提的這些耗時間的事情
transcript.whisperx[453].start 12300.856
transcript.whisperx[453].end 12322.813
transcript.whisperx[453].text 那我们是不是让我们来找劳动部在大家一起来看一下怎么样将来再制定一个方式让未来在认定新兴工作的时候能够有一个比较比较具效率的一个方案好谢谢主委可以在一个月内跟您要这个您跟劳动部讨论出来的报告吗可以可以好谢谢
transcript.whisperx[454].start 12323.853
transcript.whisperx[454].end 12339.278
transcript.whisperx[454].text 下一個也是我很關注的一題你也知道上次總質詢我問了行政院院長還有國發會當天好像是副主委今年呢一到五月每一個月都是八千九千這個您知道嗎我知道但
transcript.whisperx[455].start 12340.598
transcript.whisperx[455].end 12349.041
transcript.whisperx[455].text 卻在去年的人口推估系統你每隔龍年就是一個高峰每隔龍年就是一個高峰後來破功所以這是你們重畫出來的圖可是你們重畫的圖是很難說服許多婦產科小兒科醫師的
transcript.whisperx[456].start 12355.763
transcript.whisperx[456].end 12370.726
transcript.whisperx[456].text 你後來重畫的圖是每隔幾年就加一個生育率0.01最後一路加到1一路延伸到2070年這個東西假使我們學生拿來做報告的話一定會相當的失真
transcript.whisperx[457].start 12371.787
transcript.whisperx[457].end 12393.683
transcript.whisperx[457].text 當天國發會副主委還有行政院院長說你們知道1到5月的生育率很低所以你們現在要推出一個13萬新生兒保衛戰但沒有講到策略那我問說為什麼他說因為依照往年來看6到12月都會出生的嬰兒數比較高您覺得呢
transcript.whisperx[458].start 12396.429
transcript.whisperx[458].end 12417.001
transcript.whisperx[458].text 現在是就我了解我們現在是陳時中陳政委有找跨部會在訂定一個115年到118年的4年少子化的策略那重新研議希望能夠刺激這個新生兒的比率那目前這個草案在會各部會回饋意見中
transcript.whisperx[459].start 12420.483
transcript.whisperx[459].end 12436.231
transcript.whisperx[459].text 那我們也有參與到裡面的意見所以我們也有提到一些建議出來那我們希望能夠更加的刺激這個生育的但是你覺得你有信心今年到13萬嗎
transcript.whisperx[460].start 12438.086
transcript.whisperx[460].end 12460.583
transcript.whisperx[460].text 今年會有一點辛苦啦 但是總得來努力沒有說不會到 但是總要來努力上次你們是說因為往年下半年出生率會比較高我告訴你一個實際的做法 真的非常簡單其實你只要去查目前正在懷孕的人多少你很快就可以算出你今年可不可以到13萬保衛戰
transcript.whisperx[461].start 12463.165
transcript.whisperx[461].end 12488.602
transcript.whisperx[461].text 這非常的簡單怎麼還會用感覺的或者是用往年的數據下一張這個是你們所做的人口推估未來生育趨勢專家調查你找了10位專家然後去做了一個模型但是怎麼看我們都覺得現在生育率一直是0.8 0.7你卻把自己的高推估設在1.3不覺得非常的
transcript.whisperx[462].start 12491.294
transcript.whisperx[462].end 12502.607
transcript.whisperx[462].text 不符合我們的常理嗎這個本來就是一般來講是中推估高推估低推估那如果您看我們的低推估0.8其實是
transcript.whisperx[463].start 12504.816
transcript.whisperx[463].end 12522.543
transcript.whisperx[463].text 低退估0.8已經是我們這幾年來的平均數據也是有抓到整個的趨勢那它本來所有的退估一定會有樂觀跟不樂觀狀態主委如果你有興趣的話我可以推薦你一些做AI的人才其實有許多人從我們過去的人口分析
transcript.whisperx[464].start 12523.263
transcript.whisperx[464].end 12537.206
transcript.whisperx[464].text 已經可以分析未來那這些人是跟我們富有相關產業的一些業界的人士比你們做出來的精準很多如果你有興趣的話我再幫你串聯起來好嗎好啊謝謝主席謝謝好謝謝好謝謝陳慶輝委員那下一位請劉建國委員發言
transcript.whisperx[465].start 12550.863
transcript.whisperx[465].end 12576.803
transcript.whisperx[465].text 好 謝謝主席有請劉主委來 請劉主委主委今天金融會來審查這個外國專業人才延攬及僱用法的這個修正草案這對目前生不如死的台灣是非常重要的然後大家都很清楚嘛台灣就邁入到超高齡的社會那剛剛陳委員也特別提到生育的問題你知道五月初生
transcript.whisperx[466].start 12578.615
transcript.whisperx[466].end 12606.548
transcript.whisperx[466].text 已經又破了最新的出生率你知道你有掌握嘛所以要吸引這個國外的優秀的專業人才進到台灣服務甚至喜歡台灣最後定居台灣那是一個非常正確的一個政策所以我們要趕快推嘛那透過這樣的一個修法但是我現在提出了一個疑問就是說我們是真的要招攬這個外國的優秀人才嗎我們是真的要招攬外國的優秀人才嗎
transcript.whisperx[467].start 12609.656
transcript.whisperx[467].end 12624.665
transcript.whisperx[467].text 我們是真的有這個打...是真的假的嗎?是真的假的嗎?是真的對不對?是你覺得我們招募現在的外國專業財最低的薪資是多少?47900多47971嘛對這個從以前定格到現在多久時間?
transcript.whisperx[468].start 12633.715
transcript.whisperx[468].end 12651.287
transcript.whisperx[468].text 我想職場不外乎要友善那職場友善有一個重中之重就是所謂的薪資嘛對不對如果47971我們從頭到尾都定格到現在這個階段那你可以簡單的對照台灣的基本工資從106年2109元一直到現在28590元從小英執政到賴清德政府執政已經調了9次了
transcript.whisperx[469].start 12661.974
transcript.whisperx[469].end 12684.85
transcript.whisperx[469].text 那今天我們真的是今天我們要招募外國的專業人才來到台灣喜歡台灣甚至定居在台灣那他們的最低基本的薪資還定格在47971你覺得這樣合理嗎這樣的台灣的職場對外國的專業人士會覺得他是一個吸引
transcript.whisperx[470].start 12686.172
transcript.whisperx[470].end 12705.763
transcript.whisperx[470].text 的一個地方嗎不管我們的自由民主制度不管我們的居住環境不管我們所有的很多的這樣的一個友善都可以達到他們的期待但是如果薪資維持在這個地方你覺得吸引力足夠嗎是真的要招募外國的專業人才來台灣大家一起努力打拚嗎
transcript.whisperx[471].start 12706.905
transcript.whisperx[471].end 12721.972
transcript.whisperx[471].text 其實這個數字對企業來講是一個參考值那當然這個調整是有調整的空間因為我們現在經常性薪資平均已經到6萬3是可以調整的那只是說在這個薪資裡面他有工作零年經驗有一年經驗兩年經驗三年經驗
transcript.whisperx[472].start 12723.833
transcript.whisperx[472].end 12744.654
transcript.whisperx[472].text 那這是給企業一個參考,不得低於這個數字不得低於嘛,對,這個不得低於,台灣有具體基本工資嘛,也是不得低於嘛但是我們從小英執政一直到現在,台灣以前被稱作低薪島,中國人應該知道嘛,對不對那還有民進黨執政之後,前八年一直到賴清德政府執政,調了九次,才來到28590嘛
transcript.whisperx[473].start 12746.816
transcript.whisperx[473].end 12755.028
transcript.whisperx[473].text 這個就是最低壓這個也是讓我們所有的台灣的企業去做參考聘用本勞的一個參考依據嘛對啊那我們是不是讓我們來協調勞動部來進行這個來看看怎麼樣來做一個調整
transcript.whisperx[474].start 12763.099
transcript.whisperx[474].end 12770.126
transcript.whisperx[474].text 這個要趕快來討論了吧 好不好 主委真的啦 因為我們要面對這個事情嘛然後你看 當時為什麼會規定設定這個47,971元這是有歷史背景的嘛就是不要讓
transcript.whisperx[475].start 12778.598
transcript.whisperx[475].end 12796.562
transcript.whisperx[475].text 我們要這些外國專業人才變成外國的廉價勞力嘛所以我們才去訂這樣嘛但是不可能通通不動啊桃園現在在應 桃園市政府現在在應徵清潔隊員4000多人入企435不到10%一個月薪資4萬5一個月薪資4萬5
transcript.whisperx[476].start 12801.766
transcript.whisperx[476].end 12803.727
transcript.whisperx[476].text 好 那剛剛我們特別講當時這個外國禁用的專業人士最低47多對照我們當時的21多是差了2萬6嘛現在已經拉到1.9萬
transcript.whisperx[477].start 12816.496
transcript.whisperx[477].end 12845.602
transcript.whisperx[477].text 對不對 什麼時候會拉到齊平 我不曉得但是看起來從物價從每年做這樣的調整從小一直到現在那個速度會會慢慢的加快的接近中嘛對好 所以我們盡快盡快找勞動部來討論這個事情一個月一個月內可不可以一個月內 沒問題因為我再提供一個訊息給你就是我們組織署已經有公布四月份台灣的平均薪資是來到四萬七千八百零七元
transcript.whisperx[478].start 12848.208
transcript.whisperx[478].end 12867.205
transcript.whisperx[478].text 47807元所以這個如果再不去調整會不會導致雇主在用年選上也會壓縮到這個本國白領勞工的這樣的一個機會是有這個可能的因為當時我們是不希望說它是也有雇主應用這個禁用外國的專業人士的時候是用假白領的這樣的名義來引進藍領的外國人力所以我們去設定這樣
transcript.whisperx[479].start 12872.33
transcript.whisperx[479].end 12891.352
transcript.whisperx[479].text 但是時間已經這麼久了對真的有其必要調整我們盡快來解決好不好 主委所以希望一個月內把相關的一些演繹可以提供出來好的 好不好好 謝謝好 謝謝主席好好 謝謝劉建國委員那下一位請岳元之委員發言
transcript.whisperx[480].start 12904.518
transcript.whisperx[480].end 12905.301
transcript.whisperx[480].text 麻煩請國發會主委謝謝請劉主委
transcript.whisperx[481].start 12913.502
transcript.whisperx[481].end 12941.714
transcript.whisperx[481].text 主委好 今天我們在討論其實人才的問題啦那我想先講一個我知道國發會現在很積極在發展AIAI人才也非常重要那我跟很多AI的 懂AI的人他們要新創他們一直覺得說沒有很重視政府沒有很重視的AI對他們而言啦那有幾件事情第一個要發展AI 算力很重要嘛那現在我們的GPU大致上還是過度非常高度的依賴三大雲
transcript.whisperx[482].start 12942.614
transcript.whisperx[482].end 12958.16
transcript.whisperx[482].text 就像Amazon Google還有微軟三大雲那像這種比較小型的新創公司實際上要取得算力有其難度那我知道速發部是有推一個要給他們一些免費資源那速發部有購買一些算力要提供給他但是有限制
transcript.whisperx[483].start 12959.165
transcript.whisperx[483].end 12975.127
transcript.whisperx[483].text 而且對於比較大的AI公司它也許可以透過集團力量取得一些算力可是那就是近期未來可能也不確定所以業界一直在呼喊說我們台灣能不能夠成立我們自己的算力的一個中心
transcript.whisperx[484].start 12975.936
transcript.whisperx[484].end 12988.873
transcript.whisperx[484].text 那這個國發,不知道這個主委我們現在這個計畫大概定定的狀況如何?就我了解喔,國科會有一個計畫喔我說算力喔,算力算力算力,那他的目標是在我如果沒記錯應該在2028年會達到480PF
transcript.whisperx[485].start 12994.819
transcript.whisperx[485].end 13019.307
transcript.whisperx[485].text 他會達到480PF當然現在國際算法開始要改成Megawatt所以到時候算力的問題可以解決嗎就是不要讓大家過度依賴這三大原因可以解決我們現在除了這個部分以外我們也有一些民間企業投資的這個算力那也有一些我們在投資兆元台灣的時候計畫裡面也有一些保險業者來請問我們可不可以投資算力
transcript.whisperx[486].start 13019.907
transcript.whisperx[486].end 13047.14
transcript.whisperx[486].text 那接下來事實上在NVIDIA在高雄的那個算力中心是會是應該是亞洲最大的算力那所以這整個算力加起來會讓我們的算力變成這個亞洲很頂尖的是好謝謝第二個問題就是國發會說也有一個100億的預算嘛對不對國發基金我們希望扶持AI相關的新創那是委由這個速發部來做這個其實講很久了
transcript.whisperx[487].start 13048.761
transcript.whisperx[487].end 13070.382
transcript.whisperx[487].text 已經公告了 而且有記者會宣傳再加強一下好不好因為我跟幾個AI的新創公司聊到這東西他們說是喔 聽說有這個啦 但是不知道怎麼申請我覺得要加強宣傳力道因為我也有去查 除了有一些新聞而已 那個新聞都是網路新聞
transcript.whisperx[488].start 13071.443
transcript.whisperx[488].end 13088.696
transcript.whisperx[488].text 可能我覺得國發會是不是在透過什麼系統可以直接讓我們做接觸我們會請再跟蘇發部看看怎麼樣來調整因為當時他建立了兩個系統一個是偵案系統一個是Venture Capital的VC的系統當時在記者會我有去參加在蘇發部舉行這兩個系統都在推那看起來宣傳還有待加強對 再加強一下
transcript.whisperx[489].start 13094.66
transcript.whisperx[489].end 13118.619
transcript.whisperx[489].text 然後再來就是那個AI的人才因為就我的了解現在台灣比較在研發的一些比較好的團隊他們的科學家都是來自於國外然後都是帶過大公司的像帶過什麼Yahoo啊 Google啊或者是阿里巴巴的就比較有經驗那台灣這一塊有沒有一些比較大型的招攬的計畫就至少有比較多有經驗的AI人才可以來到台灣來
transcript.whisperx[490].start 13119.585
transcript.whisperx[490].end 13132.41
transcript.whisperx[490].text 不知道政府能不能夠打造這樣的環境我們現在因為的確就像委員講的AI最頂尖的人才其實是在美國我們很希望我們在今年的年初其實我們到美國去攬財過效果怎麼樣
transcript.whisperx[491].start 13136.272
transcript.whisperx[491].end 13155.703
transcript.whisperx[491].text 其實有一些人是有願意再考慮回來的過程當然也有人會考慮到兵役的問題那我們招募的人數一場比一場多那原因是也跟委員報告我們當時也帶著NVIDIA跟Google的職缺過去那因為他們要進入Google、NVIDIA在台灣更容易
transcript.whisperx[492].start 13156.343
transcript.whisperx[492].end 13183.684
transcript.whisperx[492].text 所以台灣現在提供的就業機會是比較高的那我們希望在這次的攬柴專法能夠有更大的誘因讓他們回來然後能夠一起帶動那另外同時我們也會將來也會利用這個新創的機會吸引這些人更回來所以我們現在已經建立一個窗口在在那個矽谷那我們希望可以做媒介能夠讓讓更多這個部分我們再加強力道再來現在很多台廠
transcript.whisperx[493].start 13184.724
transcript.whisperx[493].end 13213.704
transcript.whisperx[493].text 都外移了啦那台廠外移可能會造成就是我們有一些人才也外移應該不是外移啦是全球化的建廠啦對啦 總部都好了全球化建廠啦那人才就會移到其他國外去而且很多是大型的投資喔我看到有很多上市公司在國外是大型的投資那他們本來培養出來的人才很有可能就隨著這樣的佈局策略就到國外去了嘛我想要建議啦就是國外有沒有可能啊
transcript.whisperx[494].start 13214.565
transcript.whisperx[494].end 13233.271
transcript.whisperx[494].text 研究一下譬如說像這種在全球都在搶人才的狀況底下如果有這種大的台廠外流的話能不能也提出一個人力資源的評估報告啦然後就針對說有沒有可能造成人才這方面的流失然後或者是相關因應的策略就是我們可以來討論
transcript.whisperx[495].start 13234.651
transcript.whisperx[495].end 13256.861
transcript.whisperx[495].text 各位報告一個企業到海外設廠他一定希望導入他在本國的制度經驗可以讓快速的讓海外能夠崛起這個過程一定會派出幹部到海外去就像日商在台灣都會有日本的幹部過來我們過去台商到了
transcript.whisperx[496].start 13257.901
transcript.whisperx[496].end 13280.948
transcript.whisperx[496].text 中國也會有台幹在那裡的原因都是希望都是讓跟本國的連結比較好那讓本國對於海外的公司的控制能力跟這個績效管理的比較好這個是一個自然現象我們可能難以限制我們現在比較要限制的是說我們現在有很多高科技的半導體人才跑到了對岸
transcript.whisperx[497].start 13281.508
transcript.whisperx[497].end 13298.965
transcript.whisperx[497].text 然後去壯大對岸來打擊我們那個我們覺得可能這個才是我們目前國家比較高的問題主委你是從國安的角度談這個問題那這個部分我們都沒有意見也都支持我現在是從產業的角度因為現在全球都在搶人才嘛
transcript.whisperx[498].start 13299.765
transcript.whisperx[498].end 13327.182
transcript.whisperx[498].text 而且都搶得非常兇那我們這邊假設現在有兩個部分一個是我們的台廠可能會帶著我們優秀人才可能到其他國家去那當然另外一個就是剛剛那個主委你提到像輝達啊他們也要來台灣設立中心嘛我們也會需要很多本地的人才那就是大家現在就是擔心說人才要怎麼樣讓他更充足所以才會討論這個議題嘛就是問說有沒有一個比較具體的評估報告是說比如說針對台廠
transcript.whisperx[499].start 13328.743
transcript.whisperx[499].end 13349.62
transcript.whisperx[499].text 海外布局以及就是我們不斷的有一些我們招商有成果也需要人才那這一塊我們有沒有做過評估因為我們是一個民主自由國家如果企業要把他的幹部調到海外不需要得到政府的許可我知道我是說就人才的評估啦所以這種外調的部分我們目前是不會有資訊的那
transcript.whisperx[500].start 13351.902
transcript.whisperx[500].end 13370.876
transcript.whisperx[500].text 但是我們定期會有統計海外的工作人數但是這個在全球化過程中我們還是傾向支持廠商但是跟委員報告主委你不要一直誤會我的意思沒有說要你們去阻止他們我們現在講的是國內人才的部分國內人才我們現在有經過多元管道在培養
transcript.whisperx[501].start 13371.696
transcript.whisperx[501].end 13385.712
transcript.whisperx[501].text 那尤其在AI人才上面像經濟部有一個20萬AI人才的培育計畫那像速發部也有AI人才的培育教育部有STEM就是科技數位人才的培育那我們現在一年這樣下來我們會有將近10萬
transcript.whisperx[502].start 13387.975
transcript.whisperx[502].end 13414.278
transcript.whisperx[502].text 左右的AI人才會產生我們Stan一年大概有6萬多人就是學校屬於Stan的人才就有6萬多那大概社會上我們現在有很多協助青年轉職然後轉職進到數位領域那這些都在發生中那經濟部會有一個比較大的計畫是20萬AI人才的培育計畫那也積極的在佈建中好 謝謝
transcript.whisperx[503].start 13417.657
transcript.whisperx[503].end 13423.5
transcript.whisperx[503].text 好謝謝葉元之委員那下一位請伍麗華委員發言謝謝主席有請主委請主委
transcript.whisperx[504].start 13455.334
transcript.whisperx[504].end 13472.193
transcript.whisperx[504].text 主委好我們特別就是正在一個什麼樣的時代就是推動永續綠色產業發展那國家的經濟呢也正在轉型所以呢我們也特別關心原住民的一個經濟轉型
transcript.whisperx[505].start 13474.475
transcript.whisperx[505].end 13500.663
transcript.whisperx[505].text 那我自己在過去有辦過原鄉碳會的公聽會也關心過地熱也辦過公聽會那甚至是在5月26號那一天呢也特別在立法院去成立一個氣候韌性與能源永續發展促進會那我個人在太空發展法一直到現在的一個太空產業甚至是國家發射場域已經決定落腳在
transcript.whisperx[506].start 13502.623
transcript.whisperx[506].end 13518.2
transcript.whisperx[506].text 屏東的滿洲鄉那它附近的牡丹鄉到台東的達人鄉呢它是一個太空的共榮的一個生活圈那在在就是希望說要有國外國內的一個人才的培育
transcript.whisperx[507].start 13518.8
transcript.whisperx[507].end 13539.64
transcript.whisperx[507].text 那剛好今天我們也特別看到我們有一個外國專業人才延攬及僱用法的一個修法修正的規定當中特別看到放寬工作然後延長數位遊牧簽證期間我想這個部分主委是不是都對我剛才提到的那些產業他們都會用得到嗎 都對他們有幫助嗎
transcript.whisperx[508].start 13543.497
transcript.whisperx[508].end 13571.153
transcript.whisperx[508].text 這些產業事實上也都會有所幫助那尤其是您很關心的在永續上面我們其實跟環境部有推動這個綠色產業跟綠領人才的培育那我們也基於這樣呢我們也跟他共同設立了一個百億基金去協助綠色青年進行創業跟發展像原鄉青年也是可以來這個地方
transcript.whisperx[509].start 13572.454
transcript.whisperx[509].end 13587.495
transcript.whisperx[509].text 主要我接下來要講的就是說除了國外人才的部分延攬國內人才的培育特別我希望的就是說原住民不要發生那種產業是在自己的土地上然後成為別人的故宮
transcript.whisperx[510].start 13588.656
transcript.whisperx[510].end 13617.708
transcript.whisperx[510].text 這是很悲哀的一種情形所以我也特別特別希望說能夠重視在地人才的一個綠林人才的培育那這個在我們的憲法也好有提到要扶植原住民經濟發展原基法呢也特別提到要促進原住民的經濟產業那總統呢在去年的原住民族日那一天也特別提到要培育原住民各樣的人才也要完善原鄉的基礎建設才有可能去提升
transcript.whisperx[511].start 13618.208
transcript.whisperx[511].end 13636.887
transcript.whisperx[511].text 部落的經濟跟產業的發展所以行政院您剛剛也有提國家發展計畫114到117那特別也有提到要促進原鄉的一個永續發展那甚至是我們剛修的這個氣候變遷因應法它的公正轉型還有這個當中的自然碳會
transcript.whisperx[512].start 13637.828
transcript.whisperx[512].end 13664.108
transcript.whisperx[512].text 那我自己呢也在多次的質詢不管是綠領人才或地熱等等這些議題我都會提到說人才的培育還有一件事就是部落開發的第一桶金也許這個就是您剛剛所提到的因為做這些都需要錢那我也知道說目前各部會你們正在審中長城計畫那請教一下主委各部會有沒有去提報這樣的一個計畫
transcript.whisperx[513].start 13668.592
transcript.whisperx[513].end 13681.649
transcript.whisperx[513].text 你指的計畫是指到原住民的經濟發展產業發展綠色經濟目前我是有看到原民會有幾個計畫送過來原民會有嗎那報的這種計畫內容有沒有我剛才關切的那些內容
transcript.whisperx[514].start 13685.898
transcript.whisperx[514].end 13701.213
transcript.whisperx[514].text 我們目前是有這個計畫是原住民原住民族經濟永續發展計畫我們現在是訂的四年計畫115年到128年所以他有報那也有關切到這些面向
transcript.whisperx[515].start 13702.274
transcript.whisperx[515].end 13723.301
transcript.whisperx[515].text 您關切的議題也在我們永續委員會裡面 工作人員委員會裡面都有考慮到尤其在您特別關心的地樂等等我們都有主委 因為推動原住民經濟發展其實對我們來講建設是一個基礎那您看一下這個圖片 其實各地
transcript.whisperx[516].start 13724.349
transcript.whisperx[516].end 13749.684
transcript.whisperx[516].text 都有所謂廢棄的校舍廢棄的派出所廢棄的衛生所那現在這些年我們推動幼兒的照顧或者是長者的照顧都會去用這些已經五六十年的老舊建築用安全結構去替代我們所謂的史建造那我現在是說像這一些我們未來要推動的都需要有所謂的空間
transcript.whisperx[517].start 13750.845
transcript.whisperx[517].end 13767.828
transcript.whisperx[517].text 但是呢我們也看到有時候如果各部會一起幫忙也有活化成功的例子像我在復興區的西口派出所他們就合作跟地方要做一個多功能的聚會所辦公廳設我想這是一個很好的例子
transcript.whisperx[518].start 13768.268
transcript.whisperx[518].end 13790.997
transcript.whisperx[518].text 但是呢我們現在發展托育啊旅遊中心啊地方創生啊產業基地長照他都會面臨用地要合法建造始造法規限制的問題所以呢都非常的需要錢來做這些事情那我也是提到像現在你們在省這些各部會的中長城計畫那這些長遠的這個投資在在都需要錢我不曉得說
transcript.whisperx[519].start 13792.458
transcript.whisperx[519].end 13811.442
transcript.whisperx[519].text 主委 您有沒有看到 這些各部會有沒有這樣長短的計畫我舉個例子 像衛福部他在推長照 園民會推長照他們到底有沒有想到 我們這一些已經五六十年的老舊建物再過個十年就變六七十年的老舊建物其實應該要有一個長遠的規劃 可以開始拆除去重建他們有沒有這樣的想法
transcript.whisperx[520].start 13817.208
transcript.whisperx[520].end 13844.908
transcript.whisperx[520].text 其實我們陸陸續續都一直有老舊的建築物的更新到我們會裡面來審但是我們現在比較擔心的是說在財化法之後我們中央少掉了3750億那整個中央能夠幫助地方的力道就會大幅的下降那我們現在比較擔心的是在這個部分那我也是希望說要有政策的引導那舉個例子假設園民會提報計畫
transcript.whisperx[521].start 13846.687
transcript.whisperx[521].end 13872.195
transcript.whisperx[521].text 或者是衛福部提報計畫內政部提報計畫那他們有沒有提報這樣的計畫各部會來分攤有些是有喔但是有的話基本上我們會各部會以後大部分都是會支持因為主委我要跟你說現在部落撐不住了沒有任何的建物可以使用全部都是老舊建築然後政府要推動的這一些所謂的永續的想法
transcript.whisperx[522].start 13872.975
transcript.whisperx[522].end 13898.58
transcript.whisperx[522].text 或者長者照顧的想法部落已經撐不住了沒有辦法配合政府的政策所以我特別在這邊提那我也關心的就是像我舉個例子像現在已經有獵槍專法大家也都去受訓囉那重點是沒有靶場可以用那教育部有靶場但是體育署說跟他們的使用目的不符合那這個怎麼辦呢
transcript.whisperx[523].start 13900.436
transcript.whisperx[523].end 13916.627
transcript.whisperx[523].text 這個怎麼辦這個也謝謝委員在3月21號你有找本會去了解之後我們也找了園民會以後那園民會現在會有一個原住民自治獵槍安全使用訓練的中長程計畫是115年到18年的中長程計畫所以他們會去蓋靶場嗎會考慮到會有這個有部分會有那會考慮到您當時那國發會你們也會幫忙去做部會協調嗎
transcript.whisperx[524].start 13930.456
transcript.whisperx[524].end 13946.554
transcript.whisperx[524].text 他提出計畫之後我們會與你協助啦好 謝謝齁那最後一個就是我也關心殯葬量能提升計畫因為超高齡社會來到殯葬的需求只會逐年增加那它的高峰期會落到30年後那在我們原鄉部落
transcript.whisperx[525].start 13947.762
transcript.whisperx[525].end 13973.164
transcript.whisperx[525].text 主委你看一下有一張圖片其實我們在國土計畫法的時候就讓我們的部會去驚訝因為不是所有的族群都習慣成為一個聚落他們有的族群像泰雅族他們喜歡一戶一戶獨立隔一個山頭可是這個是過去我們政府他想像不到的其實公墓也一樣啊您看一下這張圖這是我親自去的
transcript.whisperx[526].start 13974.205
transcript.whisperx[526].end 14002.301
transcript.whisperx[526].text 他們的墳墓 八十五度傾斜他們是要用繩子拉棺材上去所以舊墓更新 多少年來他們申請不到因為舊墓更新一定要原地的公墓他們就沒辦法那有的是呢 是陡坡那個棺材有的是拉上去 有的棺材是用吊下去可能我們坐在辦公室很難想像因為每一個民族 他有不同的文化慣俗
transcript.whisperx[527].start 14003.321
transcript.whisperx[527].end 14028.069
transcript.whisperx[527].text 所以現在如果說他們區公所願意找到一塊地可是他可能有一些法規不符合的地方或者跟你們的實施辦法不符合的地方主委您覺得是不是這個冰葬量能計畫的提升這個中長城計畫是不是為了原住民因為我們原住民從室內葬好不容易接受土葬現在又要火化
transcript.whisperx[528].start 14029.474
transcript.whisperx[528].end 14042.986
transcript.whisperx[528].text 所以我們原住民早期都不太想參加這個殯葬量能提升計畫但是現在大家慢慢慢慢因為滿帳開始濫帳所以大家也有這個需求所以這個殯葬量能提升計畫國發會是否繼續支持這個內政部有提一個計畫出來啦也就是對整體的殯葬
transcript.whisperx[529].start 14050.413
transcript.whisperx[529].end 14078.843
transcript.whisperx[529].text 能量的提升好那我們在審議中嘛是在審議中好因為國發會都在審議所以我講這些狀況就是希望我們在審查的時候可能要考量到原住民他有一些不同的習慣那希望在審查的時候能夠盡量的來符合我們的需求好的好的謝謝主委好謝謝主委好謝謝吳立華委員那下一位請陳超明委員發言
transcript.whisperx[530].start 14094.471
transcript.whisperx[530].end 14107.797
transcript.whisperx[530].text 主席請主委陳委員好
transcript.whisperx[531].start 14112.592
transcript.whisperx[531].end 14114.513
transcript.whisperx[531].text 這是6月16號《經濟日報》所寫的國科會規劃涉科學研究首選國有定
transcript.whisperx[532].start 14130.246
transcript.whisperx[532].end 14151.863
transcript.whisperx[532].text 裡面說因應國際政策派適變化為耕留台灣在2050年前國科會議席開發2000公頃科學園區2000公頃的科學園區那科學園區每個地方都要搶新設的科學園區會落腳在哪裡
transcript.whisperx[533].start 14153.201
transcript.whisperx[533].end 14162.473
transcript.whisperx[533].text 根據國科會的規劃說優先評估水與國營水的土地加以活化利用你有沒有這個規劃?這可能要問國科會
transcript.whisperx[534].start 14171.879
transcript.whisperx[534].end 14182.774
transcript.whisperx[534].text 要說國營四月臺堂是全臺最大的地址但是要認真講清楚也要國务法會的同意跟認可一樣因為大街尾都在那裡
transcript.whisperx[535].start 14184.127
transcript.whisperx[535].end 14211.866
transcript.whisperx[535].text 他說台塘規劃產業專區專業用區土地都在引領嘉義屏東所以陳安之秀他就很好康的,我們的社會婚姻也有,家業也有,屏東也有所以說第二次會提出修正我重點是說他要能請廣場國科會我今天一直跟你們合調一直跟你們拜託那個大四股計畫在苗栗縣
transcript.whisperx[536].start 14213.086
transcript.whisperx[536].end 14216.29
transcript.whisperx[536].text 有一個植染科學研究第二期的擴編計畫
transcript.whisperx[537].start 14218.446
transcript.whisperx[537].end 14243.244
transcript.whisperx[537].text 還有一個投入的科學研區,它是在都市計畫內,這個沒有問題還有一個貨農產業專區但是我們現在都要發動了,大家要做事了,要怎麼去做但是你看我們的政府我可憐,我擔心我要看我,就讓你們大溪谷計畫行政院合併我要找一個目的事業主管機關
transcript.whisperx[538].start 14244.545
transcript.whisperx[538].end 14254.01
transcript.whisperx[538].text 我找不到,我來拜託你國安會幫我協調我拜託行政院長、國民司長、國安處理,都到那裡你們沒有人要理,只要發一個公文請依照法令去找,那個目的是指管機關我想不到,國科會要205年要兩千公頃
transcript.whisperx[539].start 14270.058
transcript.whisperx[539].end 14289.733
transcript.whisperx[539].text 我這樣把它開發起來大概38公頃我已經在動 已經合定 你們沒有人要插是不是顏色不被採用這樣的問題我是很不相信你的喔因為你真的做事情但是我一直跟你們拜託 你們都沒有人要插有 有現在喔 教委員報告齁我們現在後龍產業園區齁那個我知道
transcript.whisperx[540].start 14293.376
transcript.whisperx[540].end 14299.242
transcript.whisperx[540].text 已經合併就是經濟部做合併了 已經合併很恐慌啊 怕把這個計畫取消掉再來質問科學研究第二期你合併這個目的社會主管機關要誰
transcript.whisperx[541].start 14311.547
transcript.whisperx[541].end 14320.941
transcript.whisperx[541].text 科學園區一定是國科會啦他就不在這裡啊要拿那兩千公頃還要幫我們綁條所以你看你會不會拜託的幫我做一個公職的我會很感謝你要不要幫我們協調
transcript.whisperx[542].start 14329.292
transcript.whisperx[542].end 14344.264
transcript.whisperx[542].text 我們去協調看看啦 不能看看啦 要完成啦行政院核定的計畫哪裡有看看的你先給我跟國會會議先談一下好 你先講一下 因為我很信任你
transcript.whisperx[543].start 14348.98
transcript.whisperx[543].end 14362.654
transcript.whisperx[543].text 會計師走出來都是很有能力的人這個搞不好很丟臉的事不然你沒人要做不然你收錢給我們苗栗縣政府我們來開發不然這樣嘛這樣一直拖著我們前進不得後退也不得
transcript.whisperx[544].start 14364.793
transcript.whisperx[544].end 14372.758
transcript.whisperx[544].text 我先跟國會會討論一下你帶我跟國會會一邊討論你先給我兩禮拜我先講好我相信你喔要給我辦完先看你這個國會會主委有夠了沒夠了就看你一條關於今天我們討論的那個
transcript.whisperx[545].start 14390.529
transcript.whisperx[545].end 14396.584
transcript.whisperx[545].text 招攬人才男才专华我是非常支持我非常赞成
transcript.whisperx[546].start 14397.952
transcript.whisperx[546].end 14425.37
transcript.whisperx[546].text 但是你只要招攬人才,除了你講下條件,我相信大家都知道,但是你這個如何啊,這個租稅優惠調整,來他的稅,你要求多少要安裝,因為你一點沒有列在裡面,你的效果應該會差了很多,尤其你們會計事務所,你們是國際會計事務所,你們裡面都有列人頭的公司在,你們有優稅條例,我覺得功效會減低,
transcript.whisperx[547].start 14428.893
transcript.whisperx[547].end 14450.924
transcript.whisperx[547].text 是的確就這個部分我們是在租稅上面我們會輸給新加坡跟香港你以後人家的租稅還是所得收入都減這麼多你這樣如果變成國家級的劣財的計畫我感覺要再去加強不要只做到一半這問題可以提到財政部看看好 劣財計畫我現在改變什麼劣財項目
transcript.whisperx[548].start 14456.667
transcript.whisperx[548].end 14476.019
transcript.whisperx[548].text 我們的劣材計畫會變成我們是職業訓練中心,我們是職業介紹所,我們台灣不一定的處境是這樣,你會記得往高次爬,誰往低次流,你應該很了解台灣現在所有的科技人才,
transcript.whisperx[549].start 14477.04
transcript.whisperx[549].end 14502.163
transcript.whisperx[549].text 美國公司來台灣做的,好,那心水特別管管到把台積電人才拉走,台積電會提高損失台積電要抓人才,從聯發科那邊全部來抓人才,又到那一邊一些人才回去之後,聯發科開始找每一個科技公司你現在人才出來,你要了解
transcript.whisperx[550].start 14503.237
transcript.whisperx[550].end 14529.692
transcript.whisperx[550].text 所以你現在這樣來,跟台積電買到美國社群、買到日本社群、買到法國社群、買到德國社群,我們台灣變成訓練所,那邊的薪水高到那邊,我們台灣培養訓練所。你現在這個外來的人才,你怎麼會留在台灣?大概兩年、三年他覺得邪惡有成,外國公司又來挖角,
transcript.whisperx[551].start 14530.512
transcript.whisperx[551].end 14548.851
transcript.whisperx[551].text 我們台灣的省市也不是說我管雖然台積電是高但是跟國外比起來仍然是差了一大截你現在要怎麼去撈這些人才因為企業界所碰到的就是這樣的情形我們的計畫很宏偉我也希望找最優秀的人才拉過來
transcript.whisperx[552].start 14550.612
transcript.whisperx[552].end 14573.946
transcript.whisperx[552].text 我不知道這些人才 現在怎麼好人才都在後面那邊因為他們薪水太高 各種環境比較好我們要再去新加坡 新加坡又有優惠條件我們要去那邊 你知道新百貨現在薪水高得不得了 那隻大會去啊他我們能吃的 除了你大餐廳的人會去那邊大所以我覺得你這個計畫我們台灣很可憐 主委
transcript.whisperx[553].start 14578.708
transcript.whisperx[553].end 14606.83
transcript.whisperx[553].text 執行站起來了他陪人講話就不站起來我講的時間到了我告訴你農兵是信念手希望你這個地方再加強注意你從外國招來的人才希望人才留在台灣不然你覺得一場空我們變成我講的職業信念手不然就是職業介紹手世界的人頭要找科技找AI都在台灣至少
transcript.whisperx[554].start 14609.86
transcript.whisperx[554].end 14626.248
transcript.whisperx[554].text 汗柴取用啊 柴柴什麼用就會變成這樣的情形我跟你們講 這個情形一定會發生所以你們染柴計畫 國家集合應該要好好的考慮這一塊謝謝 子晴你站得很久 謝謝好 謝謝委員 謝謝好 謝謝陳超明委員
transcript.whisperx[555].start 14634.588
transcript.whisperx[555].end 14656.003
transcript.whisperx[555].text 不不不 我都一樣喔都是公平的大家都是公平處理來我們等一下黃秀芳委員質詢後我們休息30分鐘我們現在先請黃秀芳委員質詢謝謝主席我們請劉主委請主委
transcript.whisperx[556].start 14666.783
transcript.whisperx[556].end 14669.665
transcript.whisperx[556].text 主委今天討論這個外國專業人才延攬跟僱傭的這個法案那我想請教主委因為其實我們的這個AI或半導體的這個產業好像是在北部或者是南部
transcript.whisperx[557].start 14684.876
transcript.whisperx[557].end 14703.239
transcript.whisperx[557].text 那我也看到就是说我们在前几年就是在南部也有设立一个国际人才服务及演览中心那我想请教就是说其实应该是要均衡去发展不论是我们的半导体或者是AI产业或者其他的产业
transcript.whisperx[558].start 14703.98
transcript.whisperx[558].end 14719.476
transcript.whisperx[558].text 應該是在北中南應該是要均衡的發展要不然如果是縱北或者是縱南那輕忽中部的話那一方面會忽略到整個中部的區域發展另外一個可能就是所有的
transcript.whisperx[559].start 14720.116
transcript.whisperx[559].end 14744.407
transcript.whisperx[559].text 人才可能就往北部或往南部那我想请教就是说主委我们目前就是说从目前看起来好像是就是北部跟南部那以国发会你们的这个执掌我们希望就是说应该是均衡的发展所有的产业应该是要均衡的发展不论是半导体AI产业而不是说
transcript.whisperx[560].start 14745.067
transcript.whisperx[560].end 14755.276
transcript.whisperx[560].text 一些傳統產業是留在中部那其他的比較高科技的產業是在北部或南部我想請教主委針對這部分你有什麼樣的說明
transcript.whisperx[561].start 14756.394
transcript.whisperx[561].end 14777.229
transcript.whisperx[561].text 各位報告我們現在規劃了中部智慧新核心產業的發展那裡面呢利用中部最強的這個精密機械把它AI化產品的AI化然後製程的AI化那增強它的競爭力那另外我們在中部呢事實上在半導體來講最先進的製程4奈米會在
transcript.whisperx[562].start 14778.63
transcript.whisperx[562].end 14795.909
transcript.whisperx[562].text 中部那就新農那塊地會蓋出14奈米那會是台灣最先進的製程也是全球最先進的製程所以中部在不論在半導體在AI的產業發展我們都有規劃因為我們希望均衡台灣那另外我們也針對農業大線我們有智慧農業的發展
transcript.whisperx[563].start 14799.312
transcript.whisperx[563].end 14826.383
transcript.whisperx[563].text 那我們前陣子在探討就是說中部四縣市如果我們沒有協調好的話會人口過度傾向台中所以我們也會在雲林在彰化這些地方我們會開始有那個屬於商業區shopping mall等等的地方的規劃跟發展我們希望在整個台灣是一個均衡的產業發展那尤其在農業的部分如果我們看到美國的農業那它是非常科技化的
transcript.whisperx[564].start 14826.983
transcript.whisperx[564].end 14850.74
transcript.whisperx[564].text 那我們也希望在科技化的農業在這邊那所以在我們的新的計畫裡面農業部也參與到這個裡面那大家一起在規劃這個中部的所以中部將來也不只這個中部在我們在封裝、光產業都會有一些發展另外台積電的零廢中心就零廢器物中心設在台中然後利用台中為核心發散道圈
transcript.whisperx[565].start 14851.86
transcript.whisperx[565].end 14880.201
transcript.whisperx[565].text 台湾另外我们为了这个部分我们也将来在绿能的维修各种维修的基地在台中包括外面的风车等等另外还有台中很强的是移动产业就自行车产业这些产业我们现在也在协助他们进行数位化所以现在有些德国的Bosch里面有些零件已经是台厂而且是自行车厂提供的所以这些产业我们现在都在积极的协助部件中部的发展
transcript.whisperx[566].start 14880.421
transcript.whisperx[566].end 14909.133
transcript.whisperx[566].text 主委我想請教就是說你剛剛講了很多就是說針對中部四縣市的這個未來的發展那剛剛也有特別提到就是像彰化部分彰化是工農都是同步在發展的只是我們看到彰化的傳統產業應該是傳統中小企業會多於一些比較高科技的一些產業那我想請教就是說主委針對我們中部地區或者是彰化地區
transcript.whisperx[567].start 14909.913
transcript.whisperx[567].end 14937.729
transcript.whisperx[567].text 你剛剛有特別提到就是說未來可能會有一些什麼shopping mall或者是高科就是這個針對農業方面就是說高科技的這個農業或者是什麼樣的產業那我想請教就是說主委針對彰化的部分未來我們這邊會有什麼樣的未來的產業或者是什麼樣的比較大的一個科技高科技的產業會座落在彰化這邊我先跟
transcript.whisperx[568].start 14938.749
transcript.whisperx[568].end 14956.677
transcript.whisperx[568].text 委員報告我們現在中部智慧新核心的計劃我們是委由經濟部來主導這裡面搭配了10個配套措施就是我在產業園區跟科學園區的設置之後就會需要帶動人口就會需要教育的環境醫療的環境水電包括
transcript.whisperx[569].start 14960.939
transcript.whisperx[569].end 14973.449
transcript.whisperx[569].text 交通還有旅遊住宿還有那個商業shopping的環境那包括那個社宅等等這些我們現在有十個都規劃在這裡面那之後會上位計畫訂完以後我們會邀請各縣市一起來我們會請各縣市包括彰化他們會基於這個上位計畫進行細部計畫那如果就我個人來看
transcript.whisperx[570].start 14985.379
transcript.whisperx[570].end 14999.332
transcript.whisperx[570].text 我們全世界全台灣最大的輪胎廠在振興輪胎加上我們的健大都在園林那第二大的腳踏車梅利達在園林所以這個地方是有一些大型的企業可以帶動產業的發展
transcript.whisperx[571].start 15001.374
transcript.whisperx[571].end 15016.151
transcript.whisperx[571].text 那我们属于自行车的中产企业是散落在核心啊这些地方那到鹿港这一带那这一带也很强那我们也会我们也有跟这边的业者进行过沟通我们希望带动产业的发展那
transcript.whisperx[572].start 15016.491
transcript.whisperx[572].end 15034.112
transcript.whisperx[572].text 至于走到二水这些地方或者是二林这些地方我们现在二林现在也有一些产业聚落了那剩下的部分我们可能会透过地方创生的方式来拉动大概我们初步现在是概要是这样但细部还是要跟县市政府来一起合作
transcript.whisperx[573].start 15034.512
transcript.whisperx[573].end 15055.803
transcript.whisperx[573].text 主委我要强调就是说中部地区不论是交通都非常的方便而且中部地区彰化位在整个台湾的中部那不论是这个铁路公路或者是这个高速公路二高什么都非常的方便甚至港口台中港也就是中部地区
transcript.whisperx[574].start 15056.403
transcript.whisperx[574].end 15082.126
transcript.whisperx[574].text 所以我覺得說未來應該除了北部南部之外中部應該是一個非常重要的一個聚落可能也許是高科技的聚落或者是剛剛主委有特別提到就地方的一些比較特殊的一個產業譬如說輪胎啊或者是彰化的這個水五金彰化的水五金也是非常重要的一個產業所以我希望就是說
transcript.whisperx[575].start 15083.627
transcript.whisperx[575].end 15109.748
transcript.whisperx[575].text 政府在扶植或者是在延攬這樣的一個人才到台灣那當然就是說希望把這個人才留在台灣不是進來台灣之後我們也希望他能夠愛台灣然後繼續留在台灣居住在台灣嘛那我們看到這個服務中心是在南部當然他可以服務到全台灣的需要的這個國外的人才都可以服務到可是我
transcript.whisperx[576].start 15110.188
transcript.whisperx[576].end 15133.103
transcript.whisperx[576].text 我想到就是說如果這個服務中心是在南部的話也許他就會以當地的這個產業下去媒合第一個可能去媒合工作第二個可能是媒合他住的地方或是孩子子女的一個教育的這個場所或環境所以我們未來也希望就是說如果說針對這部分的話除了北
transcript.whisperx[577].start 15134.103
transcript.whisperx[577].end 15160.735
transcript.whisperx[577].text 跟南的話中部是不是也需要有一個這樣的一個服務中心來服務中部地區這些業者他們延攬這個外國人才的一站式的一個服務這是可以的我們會朝這個方向來看因為我去參加過一些自行車行業他們的全球會議那這些中小企業其實他們也延攬了很多外國人才在海外作為他們的員工所以
transcript.whisperx[578].start 15161.155
transcript.whisperx[578].end 15181.965
transcript.whisperx[578].text 都已經非常國際化了那我們會考慮在中部設我們最近有在考慮兩個一個除了Talent Taiwan服務外國人才以外我們也希望我們國發基金的新創辦公室會在中部也會設一個可以讓中部的推動中部精密智慧性核心的發展
transcript.whisperx[579].start 15182.945
transcript.whisperx[579].end 15206.176
transcript.whisperx[579].text 因為這個是卓院長非常重視的一個專案跟政策所以我們會很努力的把它執行所以這兩個部分我們都會來規劃好 謝謝主委我們希望就是說全台灣各個地區都能夠均衡的發展而且是照各個地區它的一個特色產業然後去發展再拜託主委是的 這個是我們的目標好 謝謝好 謝謝委員
transcript.whisperx[580].start 15211.749
transcript.whisperx[580].end 15220.366
transcript.whisperx[580].text 好 謝謝黃秀芳委員那我們就是中午給大家先吃個午餐休息30分鐘後再繼續開會好 謝謝
transcript.whisperx[581].start 15239.401
transcript.whisperx[581].end 15240.482
transcript.whisperx[581].text 吃饭了吗吃饭了
transcript.whisperx[582].start 15271.179
transcript.whisperx[582].end 15271.219
transcript.whisperx[582].text 一圈
transcript.whisperx[583].start 15298.724
transcript.whisperx[583].end 15299.284
transcript.whisperx[583].text 有筷子嗎?有筷子嗎?
transcript.whisperx[584].start 15322.79
transcript.whisperx[584].end 15325.612
transcript.whisperx[584].text 你沒有變單啊他沒有變單我沒有變單我沒有變單我沒有變單我沒有變單我沒有變單
transcript.whisperx[585].start 15361.068
transcript.whisperx[585].end 15362.049
transcript.whisperx[585].text 这一步我们就要
transcript.whisperx[586].start 15390.017
transcript.whisperx[586].end 15391.398
transcript.whisperx[586].text 我還是有學習
transcript.whisperx[587].start 15416.377
transcript.whisperx[587].end 15416.597
transcript.whisperx[587].text 司機有賬
transcript.whisperx[588].start 15445.059
transcript.whisperx[588].end 15445.099
transcript.whisperx[588].text 鸡蛋
transcript.whisperx[589].start 15454.747
transcript.whisperx[589].end 15454.907
transcript.whisperx[589].text 這間餐廳的餐廳
transcript.whisperx[590].start 15491.665
transcript.whisperx[590].end 15491.705
transcript.whisperx[590].text 蜂蜜
transcript.whisperx[591].start 15517.27
transcript.whisperx[591].end 15517.29
transcript.whisperx[591].text 鞭筍
transcript.whisperx[592].start 15533.5
transcript.whisperx[592].end 15534.661
transcript.whisperx[592].text 這間餐廳的餐廳是一間餐廳
transcript.whisperx[593].start 15573.964
transcript.whisperx[593].end 15576.49
transcript.whisperx[593].text 這間餐廳的餐廳有很多不同的食物
transcript.whisperx[594].start 15586.155
transcript.whisperx[594].end 15590.357
transcript.whisperx[594].text 這間餐廳的餐廳主要是為了提供餐廳的餐廳餐廳的餐廳餐廳
transcript.whisperx[595].start 15613.827
transcript.whisperx[595].end 15615.269
transcript.whisperx[595].text 這裏有個大廈,這裏有個大廈
transcript.whisperx[596].start 15629.459
transcript.whisperx[596].end 15632.44
transcript.whisperx[596].text 對,他只會要回去關心身體然後放屋要怎麼做
transcript.whisperx[597].start 15659.557
transcript.whisperx[597].end 15660.362
transcript.whisperx[597].text 我先吃一口
transcript.whisperx[598].start 15986.493
transcript.whisperx[598].end 15987.449
transcript.whisperx[598].text 谢谢观看 欢迎订阅我的频道
transcript.whisperx[599].start 16123.524
transcript.whisperx[599].end 16123.665
transcript.whisperx[599].text 谢谢大家
transcript.whisperx[600].start 16353.008
transcript.whisperx[600].end 16353.089
transcript.whisperx[600].text 谢谢观看
transcript.whisperx[601].start 16433.626
transcript.whisperx[601].end 16434.272
transcript.whisperx[601].text 谢谢观看 欢迎订阅我的频道
transcript.whisperx[602].start 16659.872
transcript.whisperx[602].end 16664.932
transcript.whisperx[602].text 谢谢观看
transcript.whisperx[603].start 16714.506
transcript.whisperx[603].end 16716.388
transcript.whisperx[603].text 谢谢观看
transcript.whisperx[604].start 16773.097
transcript.whisperx[604].end 16773.278
transcript.whisperx[604].text 谢谢观看,下次见!
transcript.whisperx[605].start 16820.391
transcript.whisperx[605].end 16820.492
transcript.whisperx[605].text 谢谢观看
transcript.whisperx[606].start 16930.384
transcript.whisperx[606].end 16930.831
transcript.whisperx[606].text 谢谢观看,下次见!
transcript.whisperx[607].start 17048.097
transcript.whisperx[607].end 17054.424
transcript.whisperx[607].text 感谢观看
transcript.whisperx[608].start 17121.22
transcript.whisperx[608].end 17123.524
transcript.whisperx[608].text 谢谢观看
transcript.whisperx[609].start 17195.862
transcript.whisperx[609].end 17196.183
transcript.whisperx[609].text 谢谢观看
transcript.whisperx[610].start 17348.359
transcript.whisperx[610].end 17349.63
transcript.whisperx[610].text 谢谢观看,下次见!
transcript.whisperx[611].start 17508.602
transcript.whisperx[611].end 17508.683
transcript.whisperx[611].text 谢谢观看
transcript.whisperx[612].start 17613.885
transcript.whisperx[612].end 17617.388
transcript.whisperx[612].text 好 我們繼續開會來 那我們繼續尋答下一位請鄭天才委員尋答
transcript.whisperx[613].start 17642.242
transcript.whisperx[613].end 17668.476
transcript.whisperx[613].text 主席有請主委有請主委主委好這個我們去年也有這個討論這個今天的法案的修正那我們先看這個去年
transcript.whisperx[614].start 17669.963
transcript.whisperx[614].end 17698.246
transcript.whisperx[614].text 5月22號國發會的報告裡面特別提到截至到113年3月底子外國專業人才有效期可56,427人比106年底本法施行前的3927人增加了超過八成這個以今年的話有沒有新的數字
transcript.whisperx[615].start 17703.131
transcript.whisperx[615].end 17726
transcript.whisperx[615].text 今年有一個數字但是我可能還要再去查清沒關係再書面提供書面提供這個外國專業人才延攬及僱用法從民國106年11月22號制定到現在也曾經有兩次的修正
transcript.whisperx[616].start 17727.571
transcript.whisperx[616].end 17753.762
transcript.whisperx[616].text 那對於這個106年11月22號公布施行到現在應該也要做一些檢討但是目前的檢討的方向是還要擴大我就就很納悶了好我們看這個這次的行政院版本第六條這個行政院版本
transcript.whisperx[617].start 17756.242
transcript.whisperx[617].end 17771.174
transcript.whisperx[617].text 將原來的現行條文第六條外國人取得國內外大學之受試以上協會或教育部公告世界頂尖大學之學士以上協會
transcript.whisperx[618].start 17774.122
transcript.whisperx[618].end 17801.832
transcript.whisperx[618].text 這個修正為排名前一千名世界大寫排名前一千名也就是世界頂尖大寫本來是五百五百五百名擴大增加一倍變成一千名然後這個無息積備一定期間的工作經驗這個當然你們的立法理由也寫了但是我們要考量的是我們
transcript.whisperx[619].start 17804.065
transcript.whisperx[619].end 17830.836
transcript.whisperx[619].text 如果我們從剛才講的106年制定這個法顯然教育部真的是要負最大的責任為什麼呢我們的大學生我們的壽司生非常的多然後竟然現在要106之後到現在我不知道國發會
transcript.whisperx[620].start 17835.145
transcript.whisperx[620].end 17861.998
transcript.whisperx[620].text 國發會當然主委你不知道國發會過去在跟教育部有沒有討論過我們台灣需要怎麼樣的專業人才相關的學校能不能培育這方面的專業人才有嗎有討論過嗎這個是有討論的喔那我們目前這方面如果以科技來講我們STEM的人才我們一年有6萬多人
transcript.whisperx[621].start 17863.419
transcript.whisperx[621].end 17888.025
transcript.whisperx[621].text 現在最主要是說我們到2028年我們的勞動需求量是要48萬但是我們自己的畢業生只有18萬也就是說有30萬的缺口其中12萬是我們預估是在白領18萬在藍領我們有12萬的缺口所以我們希望擴大吸引更多的人進來補這個缺口主委
transcript.whisperx[622].start 17892.058
transcript.whisperx[622].end 17908.894
transcript.whisperx[622].text 這個教育部因為今天來的我覺得來的都不對來的沉嚴啊國教署來這邊幹嘛這個跟高教高教師有關係啊怎麼是國教署來我就不懂啊這個好
transcript.whisperx[623].start 17911.324
transcript.whisperx[623].end 17935.999
transcript.whisperx[623].text 國教署是高中以下的學生的那個我是不懂不是不懂我很納悶應該說我很納悶怎麼會是國教署的人來了所以其實我很想跟他們討論但是是不是請這個國發會還有教育部提供到底從106年到現在事實上應該是106年之前
transcript.whisperx[624].start 17940.7
transcript.whisperx[624].end 17962.358
transcript.whisperx[624].text 就應該要跟教育部講說國內的人才的需求是哪些希望能夠增加這方面的學生的需求學生才會你要告訴學生高中生要告訴他我們有這方面的需求未來的收入會很好
transcript.whisperx[625].start 17964.013
transcript.whisperx[625].end 17987.841
transcript.whisperx[625].text 需要這方面的學生就會往那邊去報考這個都是有連帶關係的好我們看這個第11條的修正新增的世界大學排名前200名大學之學士以上學位在我國從事專業工作這個部分這是新增的這個到底是怎麼樣我們都是需要再討論的我們看這個第12條
transcript.whisperx[626].start 17991.699
transcript.whisperx[626].end 18020.189
transcript.whisperx[626].text 這個也是新增的條文外國人取得我國副學士以上協會者以應屆畢業生之身份取得內政部移民署席可延期居留期間在我國從事工作沒有寫專業工作從事工作這個到底是要禁用怎麼樣的人禁用從事怎麼樣的工作
transcript.whisperx[627].start 18022.639
transcript.whisperx[627].end 18051.561
transcript.whisperx[627].text 可以說出來這個是針對已經來台灣念書的僑外生那我們在台灣念書的僑外生他取得這個他們畢業之後可以給他一個比較寬裕的找工作的時間那我們過去時間過短那造成我們有70%的僑外生願意留在台灣但是只有48%的人有留下來這邊從條文裡面看是看不出來是僑外生
transcript.whisperx[628].start 18053.748
transcript.whisperx[628].end 18069.641
transcript.whisperx[628].text 在你們的說明都是講喬惠森但是從這個文字條文從條文的文字是看不出來因為他在我國取得取得我國就是在我國學校就學才會取得我國的副學士學位
transcript.whisperx[629].start 18070.422
transcript.whisperx[629].end 18091.328
transcript.whisperx[629].text 以上者嘛包括大學研究所博士都是符合這個這句話的這個沒有寫說因為你剛剛主委特別講僑外生嘛是不是這個是只限於僑外生要不要做比較明確的規範好那我們來研究好不好謝謝委員好我們來看這個剛才的條文這個你們的一個簡報裡面2011年
transcript.whisperx[630].start 18101.563
transcript.whisperx[630].end 18107.084
transcript.whisperx[630].text 這個博士畢業61982碩士畢業69萬學士畢業300多萬專科畢業200多萬2022年增加博士畢業的增加了4萬人
transcript.whisperx[631].start 18127.103
transcript.whisperx[631].end 18131.448
transcript.whisperx[631].text 受試畢業的增加了51萬,從2011到2022年總數51萬多,協試畢業171萬,所以這個部分其實我就會很疑惑,
transcript.whisperx[632].start 18148.868
transcript.whisperx[632].end 18175.811
transcript.whisperx[632].text 表示我们的招生是随便任大学随便开班没有特别针对我们需要的专业人才来特别去鼓励我们的高中职的学生去考或者是我们的学士毕业的人专科毕业的人去考产生这样的一个问题而事实上如果我们看受试学士就业率
transcript.whisperx[633].start 18176.949
transcript.whisperx[633].end 18199.28
transcript.whisperx[633].text 有110年來看我們斜市的就業率只有59.02%我們現在還要大量的進壽市就業率67.26%所以這樣的一個情形為什麼上次去年審查會沒有沒有完成就是因為我們
transcript.whisperx[634].start 18201.141
transcript.whisperx[634].end 18218.349
transcript.whisperx[634].text 更擔心我們的現在的學生現在的已經畢業的這些學士碩士會不會造成到時候而且所得更低平均3萬塊也有平均薪資
transcript.whisperx[635].start 18219.628
transcript.whisperx[635].end 18244.602
transcript.whisperx[635].text 所以這個部分都是我們必須要去思考的部分我們在審查的時候再好好的這個我們會找勞動部做進一步的分析讓委員知道大概有多少人出國多少人的怎麼樣我建議稍微這個下次審查的時候教育部的這個最起碼高教師以上最好是次長能夠來了以上就建議 謝謝好 謝謝委員
transcript.whisperx[636].start 18248.697
transcript.whisperx[636].end 18253.299
transcript.whisperx[636].text 好謝謝鄭天才政委員那下一位請羅廷偉委員質詢謝謝主席有請國發會主委請主委
transcript.whisperx[637].start 18274.994
transcript.whisperx[637].end 18296.468
transcript.whisperx[637].text 委員好好 主委好今天我們在審外國專業人才延攬的僱用法修正草案幾個大方向先跟主委請教一下那主委這個外國專業人才的延攬跟僱用的相關辦法它的目標是增加外國專業人才來台從2018年上路以來目前吸引多少人來到台灣
transcript.whisperx[638].start 18297.734
transcript.whisperx[638].end 18307.162
transcript.whisperx[638].text 我們目前吸引外國專業人才吸引的55,677然後特定專業人才吸引的18,403好那我這邊有一個數據想跟你請問那原本預計這個2025年的吸引外國專業人數有達到目標嗎2025年因為還沒有結束對不起2024
transcript.whisperx[639].start 18326.363
transcript.whisperx[639].end 18326.564
transcript.whisperx[639].text 20242024我們大概
transcript.whisperx[640].start 18331.772
transcript.whisperx[640].end 18357.334
transcript.whisperx[640].text 你有達到目標?我們並沒有定出那個目標啦那你有沒有覺得應該訂定一個目標呢?您認為這個辦法?因為我想不管是未來今年度的2025、2026、2027我們有沒有想說要怎麼樣精進這些辦法、方案然後來延攬更多的人?有,我們當然都希望越來越多人才來到台灣嘛
transcript.whisperx[641].start 18357.714
transcript.whisperx[641].end 18378.39
transcript.whisperx[641].text 那抓一個預計的一個目標數然後來看到底實際上修法對於這些目標數能夠大為提升能不能有一些精進的方案我想這個部分您有估計嗎有的 關於針對本法的部分我們是希望透過這個法律讓我們每一年再增加6600多位
transcript.whisperx[642].start 18380.632
transcript.whisperx[642].end 18399.907
transcript.whisperx[642].text 6600多位所以你就希望2025年能夠吸引大概6600多位比去年度還多那第二個事情是我們也訂定了一個國家人才競爭力方案我們也希望提升本國人在職場的競爭力多數是哪些國籍的外國人士呢
transcript.whisperx[643].start 18400.638
transcript.whisperx[643].end 18424.375
transcript.whisperx[643].text 目前來到台灣目前我們現在有比較明確的是在就業金卡上面目前比例最高的是美國來的最高啦那美國佔了相當高的比例那第二高的是香港再來是日本再來是印度那新加坡、加拿大大概這幾個我們前十大大概就是再來馬來西亞、韓國跟德國對,經濟領域在目前科技
transcript.whisperx[644].start 18430.074
transcript.whisperx[644].end 18446.931
transcript.whisperx[644].text 再來科技對 可是這裡面的統計跟委員報告經濟裡面的部分是它經濟跟製造是合併統計OK 沒關係那這個製造部分就會也含到了包括半能力製造等等那科技領域是從國科會他們在科技人才的領域有去了解大概薪資待遇多少嗎
transcript.whisperx[645].start 18448.331
transcript.whisperx[645].end 18463.614
transcript.whisperx[645].text 薪資待遇我們當時有定一個4700多萬的一個基準金卡的部分是16萬金卡是要月薪16萬那雖然就業金卡以經濟領域發放的最多啦那最多但是很多的雇主都還是說找不到人
transcript.whisperx[646].start 18465.171
transcript.whisperx[646].end 18479.456
transcript.whisperx[646].text 2024年台灣還被列為全球人才短缺最高的國家之一這顯示政策和實際產業的需求我認為有需要加強這個我跟委員解釋一下景氣也會帶動人潮的缺席
transcript.whisperx[647].start 18480.876
transcript.whisperx[647].end 18508.993
transcript.whisperx[647].text 但是景氣應該也是全國因為各國都因為我們經濟活路我們其實GDP成長高過這附近的很多國家甚至我們在上半年應該是亞洲第一去年大概也是亞洲第一所以景氣也會帶動那的確台灣這幾年科技業的發展造成我們在科技人才的壓力會比較大那我們當然就積極在希望去吸引更多人才進來所以整體而言我就說現在產業缺人才很嚴重
transcript.whisperx[648].start 18509.853
transcript.whisperx[648].end 18533.009
transcript.whisperx[648].text 那政府怎麼確保吸引他們能夠過來人才真的是產業需要的嗎有沒有跟產業界合作針對特定的領域來制定人才所謂的更精準的延攬的計畫這部分有嗎是的跟委員報告我們現在的做法是放寬來的資格然後讓企業可以去徵選他所需要的人才
transcript.whisperx[649].start 18533.989
transcript.whisperx[649].end 18542.882
transcript.whisperx[649].text 因為政府很難去幫每一家企業去找人當然所以就是要跟產業多溝通嘛讓他有機會找到他要的人那你覺得針對國際人才的競爭激烈現在都是一個趨勢各國都在搶人台灣的趨勢是什麼
transcript.whisperx[650].start 18548.484
transcript.whisperx[650].end 18566.712
transcript.whisperx[650].text 川普有喊出五百萬美金可以購買金卡取得美國的永久居留權當然我不是要說台灣要跟川普比我只是舉一個案例我們跟鄰近的國家比如說日本韓國這兩個國家他們怎麼做我們現行辦法有沒有辦法跟日韓一起競爭來搶國際人才
transcript.whisperx[651].start 18568.353
transcript.whisperx[651].end 18582.611
transcript.whisperx[651].text 是的 我們現在新的辦法就參考了日本的J-SKI 日本的J-FUN我們也參考了韓國 我們參考了英國 包括澳洲等等我們參考了他們就定定的所以你覺得修法之後對於全球攬財的市場會有優勢
transcript.whisperx[652].start 18585.955
transcript.whisperx[652].end 18606.381
transcript.whisperx[652].text 會有一定的競爭力在新疆這幾個國家那我們你說優勢我們當然我們有很多的優勢包括我們的生活條件沒有說修法後修法後的優勢對修法後我們修法後就是我們的條件放寬然後呢可以比較讓企業可以找到人會更有吸引度嗎會放寬以後
transcript.whisperx[653].start 18609.219
transcript.whisperx[653].end 18616.708
transcript.whisperx[653].text 這個多少會有那這個因為我們的條件放寬了企業可以找到的人才會更多那他的面向會更廣
transcript.whisperx[654].start 18618.368
transcript.whisperx[654].end 18637.901
transcript.whisperx[654].text 我覺得今天會提到這個另外我們提供的永久居留參考了日本這些國家的做法那也提供一定的吸引條件那台灣還有一個那我們也善用台灣既有的條件我們既有條件像我們在醫療保險的能力包括我們在那個是台灣我們先天一些政策
transcript.whisperx[655].start 18638.741
transcript.whisperx[655].end 18654.894
transcript.whisperx[655].text 然後我們生活的便利性這是我們的特殊的優勢嘛但今天我要講的是說第一當然就是產業多溝通啦符合產業需求那產業目前還是一直在缺工這是不可否認的一個事實第二跟鄰近國家相比因為我們的對手
transcript.whisperx[656].start 18656.335
transcript.whisperx[656].end 18673.629
transcript.whisperx[656].text 這些競爭國家一定要先去了如指掌他們的戰術戰略策略還有他們的法那來做一個修法我覺得才會更加精準不是我們修我們自己的我們放寬我們只跟過去一年的台灣來比而是我們要跟鄰近國家要去比較這是我要提醒的啦
transcript.whisperx[657].start 18674.069
transcript.whisperx[657].end 18695.936
transcript.whisperx[657].text 那跟主委談一下外籍數位的專業人才數位領域人才當然是希望越多越好但是這是趨勢但是外籍數位專業人士也可能會接觸到國人的相關個資那這個個資要如何能夠確保新版的這個院版草案納入數位遊牧的簽證
transcript.whisperx[658].start 18697.296
transcript.whisperx[658].end 18717.954
transcript.whisperx[658].text 停留的期間最長六個月延長至兩年主委先前也表示過根據估算全球約有3500萬名的數位遊牧若能放寬相關規定就能夠把他拉進台灣在家工作第一步達到觀光消費如果愛上台灣就會留下來希望進來可以有10萬人
transcript.whisperx[659].start 18719.275
transcript.whisperx[659].end 18734.409
transcript.whisperx[659].text 可以留下一萬人那十萬人可以留下一萬人這就是政策目標我想請問主委數位遊牧的簽證2025一月上市已經上路了十四半年來實際核發的簽證人數
transcript.whisperx[660].start 18736.755
transcript.whisperx[660].end 18754.941
transcript.whisperx[660].text 停留人數、國籍分佈可不可以分享一下各位我們報告停留人數在這個數位牧民的網站裡面有一個網站它可以讓大家填報現在在哪裡做數位牧民那我們從那個網站我們在兩週前看到的是三千人在台灣
transcript.whisperx[661].start 18756.081
transcript.whisperx[661].end 18770.787
transcript.whisperx[661].text 那第二個部分是我們去年我們在推動這個數位牧民的時候我們並沒有改變法令所以我們是利用現有的簽證條件來吸引那這些人他可以有不同的管道進來因為結局是一樣的
transcript.whisperx[662].start 18771.647
transcript.whisperx[662].end 18796.969
transcript.whisperx[662].text 那我們希望透過這次的修法讓他可以比較到東南亞的國家延長到一年甚至到兩年去就會具備吸引力條件那就會有比較多的人利用數位牧民簽證進來否則在有些國家他是免簽的他會免簽就直接進來了目前有三千在系統上面那主委剛剛講了十萬留一萬台灣的觀光對數位牧民
transcript.whisperx[663].start 18798.15
transcript.whisperx[663].end 18827.39
transcript.whisperx[663].text 有什麼樣留下來的誘因我想這個你我大概都知道啦那可是我還是要講就是說數位遊牧的這些人才在台生活稅務金融住宿等實際需求政府有沒有什麼配套有沒有跨部會去做如何防止政策流於短期的觀光而真正非流財那我們有沒有對於這樣的部分去做一個盤點台灣對韓國有何的優勢因為韓國也在推所謂的類似政策
transcript.whisperx[664].start 18828.37
transcript.whisperx[664].end 18850.8
transcript.whisperx[664].text 這個部分你也有研究嗎?有的,我們現在是做了幾件事,也跟委員報告,第一個我們有一個一站式的服務,在我們的Talent Taiwan的網站,那吸引數位牧民,那第二個部分是我們跟韓國跟日本也變成策略聯盟,就是我們三個國家會互相介紹,在那邊呆滿,在日本呆滿的會介紹到我們這裡來,韓國呆滿的會介紹到這裡來,
transcript.whisperx[665].start 18853.841
transcript.whisperx[665].end 18879.234
transcript.whisperx[665].text 類似轉機就對了我們在兩週前我們有一個宣誓大會那另外我們在台南跟台東都已經各縣市政府合作開始一起共同經營數位牧民的發展數位牧民這個你剛說一戰四大我覺得那是基本需求那就不再說了但是我要講是說短期觀光我們常常在講台灣的住宿很貴國人都不留在台灣玩都寧願跑去日本
transcript.whisperx[666].start 18880.134
transcript.whisperx[666].end 18907.451
transcript.whisperx[666].text 根據台灣金卡辦公室2023外國人才的調查摘要銀行議題語言障礙分別為專業的人士外國的這些專業人士認為在台灣生活最大的困難處這些是我剛剛在這個辦公室所拿到的這些資料調查的摘要那您提到了一戰事然後還有韓國日本相互介紹但我要講的是說我們還是要注意這些語言障礙銀行議題
transcript.whisperx[667].start 18908.692
transcript.whisperx[667].end 18930.705
transcript.whisperx[667].text 他們也有可能會成為他短期觀光的時候有一些遇到的困難沒錯 這些我們都調查了解我們其實會透過我們的雙語政策同時在協助譬如說我們最近在協調55688因為外國人做Uber只有大都市才有他坐計程車是很困難的那我們希望55688會有英文版本提供外國人比較便利的生活
transcript.whisperx[668].start 18931.365
transcript.whisperx[668].end 18953.556
transcript.whisperx[668].text 那我們現在有一連串的政策在建立這樣的生態系統都是針對我們對外國人士調查的結果啦主席已經站起來了那我想就是提醒你在這個部分上多溝通那多了解那實際上還是要記得亞洲的競爭日韓是我們最主要的是的一定要先了解競爭對手才可以知道我們修法怎麼樣更實際可以運用好嗎謝謝
transcript.whisperx[669].start 18959.261
transcript.whisperx[669].end 18963.625
transcript.whisperx[669].text 好 謝謝羅廷緯委員 那下一位請陳廷飛委員發言謝謝主席 我們請主委請主委
transcript.whisperx[670].start 18979.131
transcript.whisperx[670].end 19004.359
transcript.whisperx[670].text 主委辛苦了我想我們賴總統有說要成立主權基金來打造國家級的投資平台我們要放眼全球投資國際市場打造國家級的投資平台這個是我們總統然後做了一個宣示那當然也希望說運用我們台灣產業的優勢由政府主導來協同我們民間的力量
transcript.whisperx[671].start 19004.899
transcript.whisperx[671].end 19017.941
transcript.whisperx[671].text 民间企业的力量来布局全球连接AI时代作为我们主要目标市场那这个部分把这个重责大任好像现在是归于国发会来协助这样相关的规划是不是
transcript.whisperx[672].start 19019.378
transcript.whisperx[672].end 19037.715
transcript.whisperx[672].text 我們有協助一部分協助一部分對的那我們現在在積極的也在拜訪各個主權基金然後我們希望從他們身上得到很多經驗包括從設立包括籌資包括經營管理他們遇到的困難我們都希望把第一手資料通通收集
transcript.whisperx[673].start 19038.055
transcript.whisperx[673].end 19062.248
transcript.whisperx[673].text 因為現在有90個國家然後大概有成立了180黨的主權基金所以我們現在在蒐集這相關的資料我們蒐集幾個主要的國家尤其是亞洲跟我們鄰近的像韓國、新加坡那像管理上透明所以我們主要現在是蒐集亞洲國家的部分包括像挪威的主權基金是透明度最高我們也希望參考他的透明度管理
transcript.whisperx[674].start 19062.828
transcript.whisperx[674].end 19085.383
transcript.whisperx[674].text 所以我覺得應該是要分別不一樣的它的特色我們針對每一個國家它的主權基金的一個特色然後符合我們國家台灣推動的方向這才是比較重要我們才能做盤整這個很重要因為我們未來規劃主權基金我們的目標
transcript.whisperx[675].start 19086.644
transcript.whisperx[675].end 19113.537
transcript.whisperx[675].text 我們要朝哪一個目標其實很重要我們如果說要強化跟全球佈局資本的能量還是產業的轉型與升級或是對抗外部的經濟壓力或是要引進國際技術跟資源其實它有不一樣的所以它有可能是追求報酬型的或是扶持產業型的所以我覺得這個所有的架構要非常清楚
transcript.whisperx[676].start 19114.297
transcript.whisperx[676].end 19133.408
transcript.whisperx[676].text 對 這個我們都有考慮到 甚至還有一種是兩者合在一起的 就策略家那像新加坡是拆成兩個主權基金 GIC是保守型的 那淡馬錫是財務型的所以我們都會一起參考下來 然後變成一個政府的共識跟方向
transcript.whisperx[677].start 19133.948
transcript.whisperx[677].end 19159.882
transcript.whisperx[677].text 因為其實當賴總統丟出這個主權基金其實大家都在看我們政府怎麼規劃對 尤其是我們現在國家看起來在目前這個局勢下我們很需要這樣的力量沒錯 因為整個國際情勢的一個改變所以我們到底未來要定專法還是我們的組織機關是誰組織架構要怎麼定其實這還有很多的路要走沒錯
transcript.whisperx[678].start 19161.503
transcript.whisperx[678].end 19179.761
transcript.whisperx[678].text 包括怎麼管理等等對怎麼管理然後怎麼籌措相關的財源到底我們是要用這個有償給付的動用外匯存底或是稅計剩餘或是由我們政府來發行一個公債的籌資這個其實很多
transcript.whisperx[679].start 19181.362
transcript.whisperx[679].end 19209.275
transcript.whisperx[679].text 很多其实规模会有多大也是要我们整个讨论出来之后才能去定定所以这个主权基金还有一段路要走所以辛苦了我觉得我们面对国际的情势我们一定要准备好各种的状态我们都要准备好包括主权基金未来的规模组织或是由谁来做一个相关的推动
transcript.whisperx[680].start 19209.975
transcript.whisperx[680].end 19239.135
transcript.whisperx[680].text 哇 這個知識體大辛苦 我覺得我們國防會必須把所有的資料做一個很完整的提供這樣子才能給我們總統或是相關單位做一個很好的判斷這個部分再拜託那另外一個區塊就是我們國家人才競爭力的部分也就是我們在這一次我們外國專業人才延攬及僱用法這個部分其實主委你記不記得
transcript.whisperx[681].start 19240.155
transcript.whisperx[681].end 19256.145
transcript.whisperx[681].text 我在第一時間您就任的時候我曾經跟您討論過說這個外國專業人才的研覽跟雇用這個是目前非常重要的區塊因為很多所有的國家都在求人才可是我們的動作實在是太慢了
transcript.whisperx[682].start 19257.575
transcript.whisperx[682].end 19272.411
transcript.whisperx[682].text 對不對 我們動作實在是太慢了我們現在才提出這個外國專業人才延攬及雇用法人已經都早在前面了但是呢 我們一直期待的是我們既然要修 就一次把它修好
transcript.whisperx[683].start 19273.912
transcript.whisperx[683].end 19300.978
transcript.whisperx[683].text 收集所有全世界各國的資訊到底他們在人才的培育人才的吸引跟人才的一個招攬的部分到底他們有什麼誘因我們希望給予更多的資訊所以呢我們希望這一次的修法是可以真正幫我們的企業而且是能夠讓他們真正延攬到真正的人才
transcript.whisperx[684].start 19303.728
transcript.whisperx[684].end 19323.873
transcript.whisperx[684].text 所以我們希望說這個誘因你認為這一次修法誘因這個部分有到位了嗎這個誘因還需要其他的輔助性的協助啦所謂輔助性的協助是什麼譬如說我們現在在AI實際建設裡面我們有一個協助產業透過AI升級
transcript.whisperx[685].start 19326.534
transcript.whisperx[685].end 19352.152
transcript.whisperx[685].text 以工具機產業來講它可能需要產品的數位化它需要管理上透過數位化也同時降低對人力的需求等等我們這些都會有一個配套措施一起所以這個配套是要跟經濟部整個把它合併在一起的包括我們現在研議一個到2030年擴大內需方案那我們已經進行了第一次的報告那我們正在修正這裡面都會把它配套整在一起
transcript.whisperx[686].start 19352.691
transcript.whisperx[686].end 19374.989
transcript.whisperx[686].text 所以除了我們有這個延攬人才的這樣的一個法規的修正以外我們重點還有這些配套尤其我們現在面臨的是AI數位科技近鄰轉型這些你都要把它拿出來如果說今天我們的產業沒有轉型就算這些人才來到台灣也沒有用
transcript.whisperx[687].start 19376.734
transcript.whisperx[687].end 19393.89
transcript.whisperx[687].text 他必須要面臨轉型讓他有辦法讓我們這些人才能夠來協助讓他們能夠到位是不是所以我認為這個部分我們一定要趕快因為現在全世界整個經濟的動態還有他的調整脈絡實在是太快了是的
transcript.whisperx[688].start 19398.114
transcript.whisperx[688].end 19422.549
transcript.whisperx[688].text 這種快是我們有時候我們稍微停一下那就對不對了所以我們認為說包括2030年我們所提的這個大計畫然後我們如何讓我們的整個傳統產業也好中小企業也好相關的科技產業也好他們怎麼面臨我們數位科技AI產業進行轉型來做一個非常好的一個配套調整
transcript.whisperx[689].start 19423.55
transcript.whisperx[689].end 19452.246
transcript.whisperx[689].text 那跟我們後續整個攬財是有直接關係的所以那個主委麻煩一下我覺得這個停不了我們現在開始走就要一路走一路走而且你要讓我們企業有感除了我們修了這個讓他們有一些誘因讓他們可以進到台灣來可是轉型配套還是最關鍵的是的所以再拜託主委好 謝謝謝謝委員
transcript.whisperx[690].start 19457.261
transcript.whisperx[690].end 19485.483
transcript.whisperx[690].text 好 謝謝陳廷飛委員 那下一位請張雅玲委員質詢我的投影片是我的投影片好那我們有請部長 有請那個主委
transcript.whisperx[691].start 19486.492
transcript.whisperx[691].end 19510.757
transcript.whisperx[691].text 來 請主委好 主委好我想先請教一個問題就是說我知道在那個國發會這一次在做這個攬財條例的時候其實參考了日本的JSKIP的這個制度來去做一些修正相較於原本的三年明顯縮短維生那個縮短申請永居的門檻就是
transcript.whisperx[692].start 19513.257
transcript.whisperx[692].end 19534.506
transcript.whisperx[692].text 看起来好像是有比较好但我想请教一个问题就是说到底你们认为因为我看这个日本分两阶它有分专业人才跟经营管理人才但我们现在只有一个600万那这样的600万您觉得为什么当时不去做设计两阶只设计一阶呢这会不会造成未来我们找不到相关的高阶管理人才呢您认为
transcript.whisperx[693].start 19535.826
transcript.whisperx[693].end 19553.41
transcript.whisperx[693].text 日本的經營人才主要是以投資為主我們這次的修法還是以找專業人士為主因為在投資的部分本來就有一些他可以金卡等等不同的方向所以我們當時有參考因為日本兩個一個是我們取中間值600萬我們認為應該這樣可以找到應該相應的技術人才
transcript.whisperx[694].start 19559.997
transcript.whisperx[694].end 19583.748
transcript.whisperx[694].text 技術人才 但是管理人才呢?管理人才其實也是在這次裡面存在的我們就是所謂的經濟我們在分類裡面經濟的人才分經濟領域就對了我們認為一個應該就夠因為日本把投資專業人才拉得很高到800萬的收入這個是比較高了一點那我們想增加我們的誘因
transcript.whisperx[695].start 19585.029
transcript.whisperx[695].end 19601.274
transcript.whisperx[695].text 所以這個是你們跟業界評估一下了解一下大概這個薪資的Range大概可能是在600萬的時候是可以招募到高階的專業人才跟管理人才都一起試用就對了對 我們希望是這樣這個是最頂尖的人才
transcript.whisperx[696].start 19602.274
transcript.whisperx[696].end 19629.71
transcript.whisperx[696].text 最頂尖嗎?600萬有辦法嗎?這個我是蠻質疑的600萬對我們來講是這個特專就外國特定專業人才對至於專業人才就沒有那麼高的標準對所以我只是想確定這個因為看起來如果要找到那種非常高階類似像CEO的可能這個薪水是非常困難的但是如果想要找到那種專業人才或是director的等級可能是勉強可以啦對不對這個是比較偏這個層級
transcript.whisperx[697].start 19631.647
transcript.whisperx[697].end 19654.466
transcript.whisperx[697].text 好那這個部分的話我想這個可能我們之後上路之後我們也要持續的來去追蹤到底是不是真的有達到這個成效是好我希望我們也要有相關的一些是評估的機制那接下來我想要來針對去年我們其實有個非常紅的案例就是樂樂法例跟直播主氣而昧在拿到救援機卡之後反而無法入境
transcript.whisperx[698].start 19654.986
transcript.whisperx[698].end 19673.994
transcript.whisperx[698].text 那當時呢他們是當時是因為說移民署因為入出國籍移民法第18條所進行的處分因為他們之前有非法打工的關係所以禁止他們入境可是他們在申請的時候呢我們申請是依據外國人特定專業人才申請就業金卡需求辦法第5條只要違反只有違反入出國
transcript.whisperx[699].start 19675.094
transcript.whisperx[699].end 19700.931
transcript.whisperx[699].text 及移民法的第24條所以這個是完全沒有管到18條當時是這樣子的狀況那當時呢這些像那個法律就對於一些外國的人才他可能就想說我已經把我的外國的家其他的地方處理好了我就準備舉家搬來台灣結果卻最後變成兩頭空因為這邊也進不來可是那邊可能就處理掉了所以為了避免這樣子的狀況我不曉得說我們到底在現在
transcript.whisperx[700].start 19701.997
transcript.whisperx[700].end 19721.787
transcript.whisperx[700].text 有沒有去針對於禁止入境的情形先行勾擊呢有沒有做一個改善這個我們做過檢討當時其實電腦系統有註記它被限制入境但是在當時移民署的承辦同仁疏忽了那我們經過這個案子檢討以後移民署現在是修改系統那系統會自動勾擊
transcript.whisperx[701].start 19723.368
transcript.whisperx[701].end 19737.164
transcript.whisperx[701].text 所以他一旦是被認定以後呢就是人就沒辦法介入他就得一定要停下來所以基本上他應該也不會申請到就業金卡嘛對不對不會造成這樣子的誤解嘛對以後這個情形就不會發生了那目前大概是這樣的一個狀態好
transcript.whisperx[702].start 19738.305
transcript.whisperx[702].end 19755.276
transcript.whisperx[702].text 那我希望就是说在未来我们修法通过之后呢我们对于整个相关的作业流程也要实时的保持一个滚动式检讨的方式才能避免可能会不会还有什么其他我们目前目前还没有看到的一个状况发生这样子那接下来我也想要询问一下就是有关于说
transcript.whisperx[703].start 19756.437
transcript.whisperx[703].end 19782.789
transcript.whisperx[703].text 我們現在就在金卡持有的領域裡面當然經濟 科技或是教育的師資其實都非常相對來說是多的可是在體育的領域相對來說是比較少的但是因為接下來我們要成立運動部然後整個國家在備戰未來的2028年洛杉磯奧運等等等等我們可能會有相關的需求那因為今天教育體育署沒有人來那我想請問一下針對於國科
transcript.whisperx[704].start 19784.51
transcript.whisperx[704].end 19810.566
transcript.whisperx[704].text 跟針對於之前其實在你們的書面報告裡面有提到說未來會將運科中心也可以進行申請就業金卡但是目前我們在你們的網站上面也沒有看到這個部分所以我想了解目前的這個進度是什麼因為其實運科中心也非常需要我們的一些更引用國外的一些不管是國際的專家學者來
transcript.whisperx[705].start 19812.067
transcript.whisperx[705].end 19833.957
transcript.whisperx[705].text 協助我們台灣的運動的這個科學領域可以發展也可以協助我們教練用更運動科學的方式來訓練所以我想知道因為目前你們之前你們有寫可是現在我都沒有看到任何的進度所以可不可以簡單說明一下現在的制度是由運科中心進行推薦那他推薦的人就我們就會核定就是來審核來核定他的金卡資格
transcript.whisperx[706].start 19835.168
transcript.whisperx[706].end 19849.737
transcript.whisperx[706].text 我想先確定一件事情是說他到底我們現在有沒有開放給運科中心這個就業金卡目前是有 由他們來推薦因為你們是有申請單位的限制他已經是可以申請的單位了嗎確定他可以確定嗎 我想旁邊看起來有點猶豫運動部沒有來
transcript.whisperx[707].start 19859.834
transcript.whisperx[707].end 19883.924
transcript.whisperx[707].text 運動部沒有來就我們了解是這樣要不然我們委員我們再去確認一次給你報告因為這個是你們之前書面報告寫的啦所以我就想要了解一下因為這個應該相關的進度也會是由你們這邊來去追蹤嘛對不對到底哪些單位配合運動部我想我們在這個領域也會去放寬各種相關的相關的那個條件那包括甚至包括連將來會在國發基金也會在這個領域會會也以協助
transcript.whisperx[708].start 19888.127
transcript.whisperx[708].end 19906.507
transcript.whisperx[708].text 所以我想确认一下所以接下来我们我想了解一下那个作业流程就是说因为接下来运动部会成立那我们会主动的来去跟运动部征询说你的可能你的运产中心你的那个国训中心其实都可以来申请我们会主动来征询他们因为现在没有人对我们会主动
transcript.whisperx[709].start 19907.208
transcript.whisperx[709].end 19920.606
transcript.whisperx[709].text 你們會主動而來去徵詢他們然後讓他們來去讓他們來做這個也是就業金卡的一個申請單位那我也非常期待就是說未來就是國發會跟運動部未來的運動部一起來合作讓我們的運動產業
transcript.whisperx[710].start 19922.608
transcript.whisperx[710].end 19938.635
transcript.whisperx[710].text 因為運動產業其實也非常非常仰賴國際的一些不管是管理管理者或是教練等等都非常的仰賴他們來協助台灣的運動科學領域的運動的發展那未來我也非常期待兩個部會的一起合作這樣謝謝好謝謝好謝謝謝謝張雅琳委員那下一位請
transcript.whisperx[711].start 19949.003
transcript.whisperx[711].end 19968.756
transcript.whisperx[711].text 蘇清泉委員蘇清泉委員蘇清泉委員不在請范雲委員質詢好謝謝易瑜召委有請教育部陸委會跟內政部的代表就是我們藍副司長然後陳副處長跟陳嘉榮副司長相關部會
transcript.whisperx[712].start 19989.582
transcript.whisperx[712].end 19993.906
transcript.whisperx[712].text 這個不好意思 這個投影片
transcript.whisperx[713].start 19997.272
transcript.whisperx[713].end 20021.597
transcript.whisperx[713].text 那我想也請三位可以看一下這個投影片上面這個照片是上個月我跟在場的郭益勤委員也有一起參與我們跟民間組織精明聯揭露昆蓬會統戰團記者會要求陸委會教育部內政部合作落實兩岸條例的規定往下
transcript.whisperx[714].start 20023.807
transcript.whisperx[714].end 20042.864
transcript.whisperx[714].text 我們看一下後來這裡面有相關的規定兩岸性的合作如果沒有經各主管機關許可就違法可開罰但是現在我們遇到的問題因為我們一直在追教育部跟內政部只有要求目前的制度上只有要求報備
transcript.whisperx[715].start 20044.365
transcript.whisperx[715].end 20064.88
transcript.whisperx[715].text 所以目前你在制度上會有一個無法處理相關的問題那記者會當後其實也謝謝三個部會的長官都積極回應如果會說是否違法會查處應該是你們的梁副主委說的那教育部我們張廖次長也說會跨部會嚴敏因應
transcript.whisperx[716].start 20066.04
transcript.whisperx[716].end 20086.487
transcript.whisperx[716].text 那内政部另外也有回应说昆蓬会会有违反人团法的状况将要求限期改善是否解散那后来我去追问了陆委会陆委会5月19号正式回复我就是会会同相关主管机关针对个案进行商讨与处理
transcript.whisperx[717].start 20087.287
transcript.whisperx[717].end 20106.195
transcript.whisperx[717].text 因為陸委會這樣回覆所以我就把我這半年來收到的四個案子檢舉都給陸委會陸委會認為這個跟學生有關就交給了教育部處理所以現在我先談這兩個案子中的昆蓬會我們可以看到在記者會兩週後
transcript.whisperx[718].start 20108.416
transcript.whisperx[718].end 20134.91
transcript.whisperx[718].text 跟我們核開的金明聯再度批評說沒有處理昆蓬會現在還持續在宣傳這個統戰團後來陸委會的確有處理一件事就是限制了昆蓬會的網站跟臉書現在已經無法查看那內政部因為昆蓬會未依人團法召開禮監事級會員大會限期未改善所以依法解散了昆蓬會那我是不知道
transcript.whisperx[719].start 20136.07
transcript.whisperx[719].end 20159.761
transcript.whisperx[719].text 內政部還有沒有在追蹤後來可是呢我到現在還收到學生的檢舉這個昆蓬會解散後還可以繼續辦活動他還在還繼續寄簡訊然後什麼繳費成功這邊以上是就是學生提供的LINE的公開社群昆蓬會小夥伴訊息他們還說只是被解散但是並沒有違法
transcript.whisperx[720].start 20160.681
transcript.whisperx[720].end 20178.736
transcript.whisperx[720].text 好像没有违反并没有昭告他们是统战团体违反两岸人民相关的规定然后呢下周一马上就要带学生去上海了而且还请大家减少分享避免再被检举现在都用简讯或电话联系
transcript.whisperx[721].start 20179.537
transcript.whisperx[721].end 20195.998
transcript.whisperx[721].text 所以我們發現說結果內政部用人團法我不知道人團法是不是一個比較簡便的方法人團法解散變成斷尾求生他只是沒有依照程序開會等等我想問內政部的事情是他被解散
transcript.whisperx[722].start 20196.559
transcript.whisperx[722].end 20224.457
transcript.whisperx[722].text 那可是這些事情是解散前發生的難道不用查處他解散前是不是違反兩岸條例那因為如果沒有這樣的話導致民眾誤解那變成這個統戰團就是在網路上繼續招生招學生的一個續命的大漏洞那另外呢也想請問陸委會昆蓬會如果照樣出團的話那請問現在陸委會怎麼處理是不是先請那個內政部回應
transcript.whisperx[723].start 20225.88
transcript.whisperx[723].end 20247.582
transcript.whisperx[723].text 是謝謝委員的吹噓那內政部最主要主管的法令是人民團體法那人民團體法最主要呢他是在對於這個團體的設立這個會務的設立的輔導監督做管理那所以我們依據人團法呢也就針對他的會務健全的地方依據人團法給予
transcript.whisperx[724].start 20249.001
transcript.whisperx[724].end 20270.715
transcript.whisperx[724].text 這個解散的一個處分可是兩岸人民關係條例說主管機關應該要看他有沒有違反可是這個團體的主管機關是你們不就是應該你們跟陸委會討論要不然陸委會不就工作量龐大到就要一部主管的事他也要處理不就是應該是內政部嗎我們曾經發函問過這個其他的案件問過這個陸委會就是說有關相關兩岸違反兩岸關係條例的這個
transcript.whisperx[725].start 20276.298
transcript.whisperx[725].end 20277.719
transcript.whisperx[725].text 主管机关是谁
transcript.whisperx[726].start 20307.379
transcript.whisperx[726].end 20318.249
transcript.whisperx[726].text 陸委會代表那當時梁副主委我很欣賞他就講得很清楚啦這個團體一直存在 存在不代表沒有違法所以依照這個部分就是應該是你們來處理他有沒有違反兩岸條例還是應該哪個單位
transcript.whisperx[727].start 20325.195
transcript.whisperx[727].end 20347.008
transcript.whisperx[727].text 那我這邊說明一下因為依照兩岸條例33條之一非金主管機關許可不可以跟大陸黨政軍或是去政治性的團體機關構來進行合作行為那這所謂的主管機關依照我們施行細則裡面的規定說是依所涉事項性質來做判斷我們就直接講結論所以這個應該是哪個團體來教育部這邊來所以是教育部
transcript.whisperx[728].start 20352.491
transcript.whisperx[728].end 20366.262
transcript.whisperx[728].text 所以你們有沒有追教育部還是就看教育部什麼時候來處理所以現在是教育部的問題我想請問您喔那如果教育部都不處理的話怎麼辦就這個個案的部分我們知道說他們一直有在處理中一直有在處理好那如果沒有處理的話你們會不會監督還是要靠立委了
transcript.whisperx[729].start 20382.301
transcript.whisperx[729].end 20401.613
transcript.whisperx[729].text 因為不是說監督因為我們是一個平行單位之間的立場那我們基本上政府一體啦我們還是用協助協同的方式包括做有些法律的解釋協同判斷嘛那等一下教育部如果說需要你們協同判斷你們要跟他協同判斷喔不要他們又回來說叫不多你們因為今天看到三個部會都在這所以我就覺得要來問這個那教育部的代表
transcript.whisperx[730].start 20405.534
transcript.whisperx[730].end 20424.048
transcript.whisperx[730].text 請問剛剛陸委會代表跟內政部很明顯說這是教育部的責任所以這個昆蓬會你們有沒有在處理因為公文他們已經都給你們了相關的資料那我就跟委員報告就是有關昆蓬會的這個事情因為牽涉到就是第一個是他在學校借用場地那第二個就是說他的招募學生的部分
transcript.whisperx[731].start 20425.389
transcript.whisperx[731].end 20444.869
transcript.whisperx[731].text 我們已經在五月下旬的時候就已經函詢而且不是現在的學校而是過去我們知道有參與的學校都請他們來說明然後來了解那你們後來認定上它有沒有違反兩岸條例因為還有涉及到那個場地包括107年的結論那結論有沒有違反兩岸條例因為我的時間有限
transcript.whisperx[732].start 20448.493
transcript.whisperx[732].end 20474.417
transcript.whisperx[732].text 目前還沒有全部收到學校的回應那因為有些年代他們需要去查證不用有些了現在就在進行他們下週就要出團了那針對昆蓬會呢因為我們後來也接到內政部的來函我們也有去函去函詢問他們說在從事這些行為是不是有經主管機關許可但我們今天同仁告訴我說那個去信被退回說查無此地址
transcript.whisperx[733].start 20474.977
transcript.whisperx[733].end 20498.15
transcript.whisperx[733].text 不曉得是因為人家已經解散了當然查無詞地址啊你沒有看新聞嗎我們在六月初的時候就去函了這個教育部這樣子真的是太消極了那因為時間有限我在講另外一個結親會那相關的部分就是你們都有了那我一月五月我都要求調查結果教育部給我們的調查居然請這個結親會你看公文回的
transcript.whisperx[734].start 20501.932
transcript.whisperx[734].end 20525.72
transcript.whisperx[734].text 自己說然後自己說沒合作結果各種資料都是他直接跟統戰中國統戰單位下面的團體的合作結果你們居然讓對方自己說明然後這裡就說沒有合作所以就沒事欸所以這裡面各位可以看到我們這三單位陸委會代表再來您怎麼看待教育部這樣子的回應然後人家已經解散了說去韓被退回說節慶會還說
transcript.whisperx[735].start 20530.03
transcript.whisperx[735].end 20544.198
transcript.whisperx[735].text 就是這兩個案子 昆蓬慧跟傑慶慧目前教育部都還在處理中我有跟教育部的同仁討論過傑慶慧這個案子因為我們有收到她的回函基本上是說 目前的狀況是這樣應該還不是說最後的結果所以他們應該還是會繼續處理
transcript.whisperx[736].start 20550.162
transcript.whisperx[736].end 20564.178
transcript.whisperx[736].text 那我現在請你們就是立委會可不可以跟教育部一起嚴寧跨部會的方案那能夠就這兩個個案調查結果還有機制如何改善那今天如果沒有立委要追的話
transcript.whisperx[737].start 20565.199
transcript.whisperx[737].end 20592.202
transcript.whisperx[737].text 那是不是就不了了之了他表面上解散就繼續在網路上叫大家不要去檢舉繼續辦這個統戰活動影響我們的大專學生好不好那一個月內可以給我們個案這兩個個案的調查結果跟如何改善相關目前的讓民眾感覺互推皮球的機制這我們會跟教育部一起來處理好那你答應了齁那教育部代表也可以齁是好一個月內喔好謝謝
transcript.whisperx[738].start 20596.442
transcript.whisperx[738].end 20624.058
transcript.whisperx[738].text 好謝謝范雲委員那下一位請郭玉琴郭委員質詢好謝謝主席我們先請主委然後還有這個勞發署請主委和勞發署郭委員好
transcript.whisperx[739].start 20624.755
transcript.whisperx[739].end 20645.99
transcript.whisperx[739].text 好今天因為時間其實還蠻短的那我們就這個人才的部分我們就是來討論一下那我想根據這個教育部他們的數據112年這個每年平均大概是有1萬名的這個僑外生他們會來到台灣同時在台灣畢業那每年也大概會新增將近有1萬人
transcript.whisperx[740].start 20647.39
transcript.whisperx[740].end 20662.536
transcript.whisperx[740].text 就是具备这样子的一个工作的资格那相对来讲但是根据这个劳动部的一个统计台湾目前从事兼职或打工的本地劳动人口大概是41万人占整体的这个劳动力有4.8%左右
transcript.whisperx[741].start 20665.157
transcript.whisperx[741].end 20687.775
transcript.whisperx[741].text 那我想呢其實像這樣子的一個數據就是會不會對於我們自己本地的一個青年跟學生他們在就業的時候會造成一些衝擊啦那會不會有一些排擠的一個效應那我想這個勞動部有沒有針對這樣子的一個衝擊或有沒有做這樣子的一個配套來平衡整個所有的這個就業的市場針對這些僑外生
transcript.whisperx[742].start 20692.372
transcript.whisperx[742].end 20721.437
transcript.whisperx[742].text 包委員我們目前對於這一次開放的員額預估因為他每年畢業的僑外生大概有1.2萬名那其實佔我們國內的這個就業人口200萬其實他比例不到0.6%那另外勞動部其實對於出任的這個本國的青年我們有推出了各項的這個就業促進的方案以及各項津貼那我們未來也會配合國發會在這新方案推動之後我們會強化國內國人就業的這個方案以上
transcript.whisperx[743].start 20723.309
transcript.whisperx[743].end 20744.828
transcript.whisperx[743].text 接下來我想要問一下這次攬財的專法是不是能夠真正的留住人才這其實也是大家都非常關注的一個問題我們從整個所有的制度設計面還有整個所有的就業市場的衝擊開始來談起為了提升我們國家對於所謂的國際人才的一個吸引力當然我們政府也推出這樣子一個攬財專法的修法
transcript.whisperx[744].start 20746.71
transcript.whisperx[744].end 20762.734
transcript.whisperx[744].text 那也試圖是針對現行的一個制度的瓶頸來做一些調整那根據這個教育部的一個統計這個新南向的專班開辦以來這個累積大概有七屆那畢業生大概是5492人那其中呢就是在這些人畢業之後選擇留在台灣繼續就業的大概將近有3569人
transcript.whisperx[745].start 20773.436
transcript.whisperx[745].end 20799.757
transcript.whisperx[745].text 那這個比例其實算是高的就是大概將近有73%左右那可是我就想問當然這次的修法我們是針對所謂的這個畢業的這個僑外生他們可以有兩年內的申請就是免申請這個工作的許可兩年內那讓他們可以自由的在台灣來尋找他們的這個喜歡的職業啦然後或者受雇的一些跟他學習相關的一些領域啦
transcript.whisperx[746].start 20800.277
transcript.whisperx[746].end 20824.787
transcript.whisperx[746].text 那提升就是他們願意留在台灣來貢獻這樣子的一個勞動力這樣子的一個機會但是問題在於喔這個雖然在短期之內這個兩年內不用申請這個工作許可可是可以減少一些所謂的行政的一些門檻沒有錯但兩年之後他們必須又要開始就是回歸到所謂的現行的這個評點制那這個評點制度呢可能就在
transcript.whisperx[747].start 20825.567
transcript.whisperx[747].end 20853.983
transcript.whisperx[747].text 整個所有的這個行業的類別還有他的標準還有申請的一個流程可能就是會有一點繁複啦那根據這個老大署你們自己也統計了從103年到現在喔截至到113年年底那從原本的29000多人到後來只剩下實際有效聘僱的人數只剩下17500多人那等於說這個留任的比例喔這個是不到六成
transcript.whisperx[748].start 20854.743
transcript.whisperx[748].end 20866.395
transcript.whisperx[748].text 也未必能夠真正的能夠留住人才那這個部分有沒有什麼其他的一些配套的措施還是說這樣子的一個配套措施目前為止我們還沒有做一個滾動式或彈性的一個調整
transcript.whisperx[749].start 20870.612
transcript.whisperx[749].end 20891.452
transcript.whisperx[749].text 包括委員考慮到畢業的僑外生是我們國內教育體系培育的人才勞動部其實在這一兩年我們在僑外生的流動上面鬆綁了很多措施比方說我們在去年我們把僑外生攬財的這個上限過去每年大概都是6000名7000名這樣的上限我們去年把它打開了接下來沒有
transcript.whisperx[750].start 20892.413
transcript.whisperx[750].end 20915.594
transcript.whisperx[750].text 這個延攬的這個人數上限那去年我們也修改了這個評點表的這個分數從原本的190分我們把它往上調那我們也增加了他可以加分的項目那這些措施其實都是在減輕甚至是鼓勵這個在台的畢業僑業生來留用在台繼續工作所以去年已經有開始做一些調整那目前為止有見到成效嗎還是說目前還沒有統計出來這些數字
transcript.whisperx[751].start 20919.298
transcript.whisperx[751].end 20935.33
transcript.whisperx[751].text 而我們持續流用的這個喬艾森人數其實每年都在增加目前都有在增加那今年最快的一些數據因為其實即將堅持下來可能就是畢業季了啦那我想這些部分是不是可以很快的有一些統計的數據可以提供給我們
transcript.whisperx[752].start 20936.107
transcript.whisperx[752].end 20961
transcript.whisperx[752].text 沒問題好那再來就是我剛剛聽到很多的委員其實也都提到了就是說因應整個所有的這個就業市場的多變性然後再來就是現在的AI的一些人才那我想要吸引全球優秀的人才來到台灣來做發展其實也是非常非常重要那我想這個懶財專法是目前是配合這個國發會在推動的這個高潛力人才來台的一個工作的名單
transcript.whisperx[753].start 20961.9
transcript.whisperx[753].end 20976.568
transcript.whisperx[753].text 那目前設計是用全球排名前200大的大學來作為主要的一個門檻那但是像這樣子的一個評選的一個制度我認為是不是過度的單一
transcript.whisperx[754].start 20977.489
transcript.whisperx[754].end 20991.696
transcript.whisperx[754].text 就是說在實務上其實光是用學校的排名那有一些學校他也許沒有排在這個200大之內但是問題是他的學校的科系他某一些科系他是特別的特別的強比方說像科技 工程 設計 農業 醫學等等
transcript.whisperx[755].start 20994.237
transcript.whisperx[755].end 21013.062
transcript.whisperx[755].text 雖然沒有學校整體沒有在排名當中但是問題是其他在排名200以外的學校他們的科系其實是反而非常的卓越那這個部分我們的選材的條件有沒有一些做法可以讓它更精緻可以讓它更細緻一點
transcript.whisperx[756].start 21014.847
transcript.whisperx[756].end 21043.567
transcript.whisperx[756].text 这个我们可能还要再跟教育部研议但是目前来讲我们之前也有一些委员跟我们反映有些学院就很有名但是它是一个学院我们现在的主要是说我们在处理这个事情希望有一个标准那目前在世界大学排行全世界有三个排行标准都是像泰晤士报也好到那个World News或者是到QS都是已经公认的标准
transcript.whisperx[757].start 21044.167
transcript.whisperx[757].end 21063.561
transcript.whisperx[757].text 那教育部過去的做法我們在之前是用500大的時候教育部是依據這三個標準來做一個衡量的標準就比較不具爭議性但是對於學院目前並沒有這樣的一個可參考之標準那很可能就會造成這中間有很多難以判斷的執行上的困難
transcript.whisperx[758].start 21064.315
transcript.whisperx[758].end 21093.064
transcript.whisperx[758].text 因為尤其我剛剛在講因為AI的關係其實有很多人其實在不一樣的學院當中其實他有非常卓越的一個傑出的表現那等於是要用科系來做選擇而不是用名校來做選擇所以我們大概我們可能會再跟教育部研議看看他有沒有能力做到去看科系因為這個複雜度跟標準就會比較困難取得所以有一些初步的想法嗎還是目前都還沒有討論到這個部分
transcript.whisperx[759].start 21093.704
transcript.whisperx[759].end 21110.336
transcript.whisperx[759].text 其實在之前因為我們一直找不到一個標準那這次因為有些委員有提出來那我們就希望來再研議看看有沒有機會有這個標準因為我想這個世界都在滾動那科技也都是不同的在滾動那各個產業其實他們的這個變動性其實也蠻大的
transcript.whisperx[760].start 21112.938
transcript.whisperx[760].end 21140.516
transcript.whisperx[760].text 那有一些學院他們是注重在某一些科系他們是特別的強項其實如果沒有把這些人也也有一些吸引力能夠讓他們來到台灣來做發展的其實還蠻可惜的啦基本上他們都可以過來只是他在呃申請永久居留的時候他比較沒有優惠而已啊好那但是呃但是所有的事情還是在執行的標準上大家有共識所以我們還在討論一下好那我們期待如果有新的一些精神再麻煩提供給我們好嗎好的好的謝謝好謝謝主席
transcript.whisperx[761].start 21144.179
transcript.whisperx[761].end 21155.325
transcript.whisperx[761].text 好謝謝郭益勤委員那下一位請邱政軍委員邱政軍委員邱政軍委員不在下一位請王正訓委員質詢謝謝主席我們請國安會劉主委請主委
transcript.whisperx[762].start 21179.39
transcript.whisperx[762].end 21202.317
transcript.whisperx[762].text 主委好 好久不見 謝謝以前的幫忙今天有關於相關的這個議程我們希望從這個精準延攬到有效流採來跟主委來這邊做個討論其實我國近年來積極的推動外國專業人才的這個延攬設計了像有包括就業金卡這些制度工具
transcript.whisperx[763].start 21203.337
transcript.whisperx[763].end 21225.549
transcript.whisperx[763].text 期待就是能夠發揮相關的作用也希望能夠進一步的在這個修法的過程裡面能夠進一步來放寬條件延長年限讓台灣在全球競爭裡面更具有競爭吸引力那我等一下這些討論裡面等我全部都說明完畢以後再麻煩諸位給一些意見
transcript.whisperx[764].start 21226.59
transcript.whisperx[764].end 21233.339
transcript.whisperx[764].text 不過我們是不是朝向這個精準年染的方向來前進還是目前的制度
transcript.whisperx[765].start 21234.847
transcript.whisperx[765].end 21262.512
transcript.whisperx[765].text 只是會存在一些程度上形式的開放還會造成一個實質上的落差我們是蠻擔心的那我們從這個圖可以看到在2021年有關於全球人才的白皮書裡面就列舉了46個國家裡面的確我們看到非常擔心的部分就是台灣是在所有的國家裡面預測為全球人口缺口最嚴重的國家
transcript.whisperx[766].start 21263.972
transcript.whisperx[766].end 21291.838
transcript.whisperx[766].text 比日本還嚴重所以這個評比清楚的告訴我們說我們正處在這個高齡化的社會跟青年出走的雙重挑戰裡面所以非常的嚴峻的一種狀況那我們想要了解的是後面的這個結構性的問題如何能夠透過修法來做有效的處置這個就是我們今天希望能夠做後續討論的地方就包括精準的這個延攬
transcript.whisperx[767].start 21293.739
transcript.whisperx[767].end 21306.754
transcript.whisperx[767].text 其實我們從這個畫面也可以知道目前國家籍的人才的需求裡面國科會這邊也列出了三個重要的人才的需求包括AI應用人才半導體的還有
transcript.whisperx[768].start 21308.215
transcript.whisperx[768].end 21325.434
transcript.whisperx[768].text 淨零 綠零的人才所以告訴我們說事實上政府已經有好的對應的方向跟產業的藍圖我們想要進一步問的就是這次的修法是不是真正能夠與這些國家級的人才政策做接軌是否有針對這些產業明確的規劃誘因與配套
transcript.whisperx[769].start 21329.839
transcript.whisperx[769].end 21355.327
transcript.whisperx[769].text 還是只是做形式上的鬆綁卻沒有辦法精準的導向這個產業缺口的人才來引進因為之前審計部也有相關檢討報告告訴我們說委託廠商在持續擴增海外人才庫的資料庫裡面沒有積極的去掌握到資料庫的這個有關人才就業金卡取得跟哪一台就業狀況
transcript.whisperx[770].start 21356.667
transcript.whisperx[770].end 21360.78
transcript.whisperx[770].text 或者是就業金卡申請的意願 這個是曾經提出的一個檢討
transcript.whisperx[771].start 21361.943
transcript.whisperx[771].end 21385.913
transcript.whisperx[771].text 那有關於這個有效人才的部分我們也看到到目前2025年的5月底目前這個金卡已經累計核發了13487次的人次可是有效的狀況是7769人次意思就是說只有曾經來過台灣或者是申請這個金卡的人有57.6%
transcript.whisperx[772].start 21387.894
transcript.whisperx[772].end 21404.311
transcript.whisperx[772].text 還在台灣這告訴我們說似乎相關的這些問題是需要持續檢討的所以政府是否有進行過分析了解曾經持有金卡但是沒有繼續留在台灣的這些人主要離開的原因是什麼
transcript.whisperx[773].start 21405.031
transcript.whisperx[773].end 21425.516
transcript.whisperx[773].text 那除了核發制度以外我們是曾經針對於外籍的這個專才的後續的留台的生活還有長期居留的規劃等等進行這個政策支持的設計那之前的審計部的這個檢查報告裡面告訴我們說這個Taiwan的這個中心所接獲的質詢或者是遭遇問題
transcript.whisperx[774].start 21426.616
transcript.whisperx[774].end 21440.426
transcript.whisperx[774].text 繁瑣複雜而且多數是涉及到其他不同的相關的部門的職責所以需要有待持續的強化跟各機關之間的溝通連結機制希望能夠協力積極的處理改善轉介的問題所以
transcript.whisperx[775].start 21443.388
transcript.whisperx[775].end 21458.602
transcript.whisperx[775].text 從精準廉染到有效人才其實我們很期待的就是能夠透過修法來改善的同時我們希望它不只是一個目標是要希望能夠轉化讓國家陣陣的長期競爭力可以持續的維持那針對這兩點請問諸位不曉得您的觀點
transcript.whisperx[776].start 21462.966
transcript.whisperx[776].end 21481.122
transcript.whisperx[776].text 跟委員報告 第一個關於第一頁台灣人才的缺口跟壓力我有一個比較正向的看這件事一般來講企業生意好才會需要人生意不好他不需要人那這代表台灣景氣跟GDP的成長是成正比的
transcript.whisperx[777].start 21481.542
transcript.whisperx[777].end 21508.558
transcript.whisperx[777].text 反映到臺灣這幾年政府施政上面造成的景氣是好的所以造成人才的缺乏也跟著增加那第二個部分是您提到這個精準延攬的部分那我們目前的政府的做法是先把法令打開讓企業可以更容易找到人但是在培育的部分培育的部分我們跟各部會都有一個會診跟教育部都有合作我們希望在培育人才上面更精準
transcript.whisperx[778].start 21509.298
transcript.whisperx[778].end 21527.624
transcript.whisperx[778].text 那我們其實有嘗試希望以半導體為例那下一步是希望大家能夠給到更精準的內容因為半導體可能有從封裝測試封裝測試可能又分成先進封裝、傳統封裝又可能裡面的材料等等、設備所以它大概會有上百種
transcript.whisperx[779].start 21528.644
transcript.whisperx[779].end 21544.723
transcript.whisperx[779].text 那我們現在就發現半導體的燃材需求大家可以有概括的統計跟從企業問卷可以拿到但是要細到這麼細的部分就有一點小困難所以我們現在是盡量的精準但是沒辦法做到完全的精準這個是我們的確有努力過的
transcript.whisperx[780].start 21545.544
transcript.whisperx[780].end 21563.784
transcript.whisperx[780].text 那再來就是在有效流財部分我們其實有針對金卡的人去做大幅的調查了解他們為什麼留下來有困難那我們現在有一個完整的配套性在改變那這裡面除了我們在Talent台灣的改變之外
transcript.whisperx[781].start 21564.945
transcript.whisperx[781].end 21584.15
transcript.whisperx[781].text 建立生態系統從更完整的生態系統譬如說他們進來以後需要一個社群來協助他們能夠待久一點再來他需要更強的友善營運環境舉個例子他叫計程車他沒辦法叫有一次我在路上也是一個德國女生拜託我幫他叫車因為他沒辦法溝通所以我們也在積極的跟這個55688談合作
transcript.whisperx[782].start 21586.551
transcript.whisperx[782].end 21610.591
transcript.whisperx[782].text 希望台湾最大的这个平台能够有英文的环境那现在我们现在预算下来之后我们就有钱来协助去尽量提供这样的友善环境那我们整体的友善环境会包括医院现在我们医院可以用英文那我们预计30年70%的区公所都可以用到英文那让他们可以有一个比较好的生活环境让他们可以留下来
transcript.whisperx[783].start 21610.831
transcript.whisperx[783].end 21632.153
transcript.whisperx[783].text 所以我们这些都逐步在尝试来修改,然后还有一个比较大的麻烦是他们的教育,他们很多人反映到,尤其是那个二代,美国二代,反映到他小孩的教育,他必须双语,那这个情况下我们其实也积极的在沟通协助解决,所以这些整套我们其实都有在做试调跟做及时的回应。
transcript.whisperx[784].start 21633.014
transcript.whisperx[784].end 21654.599
transcript.whisperx[784].text 所以我們期待透過這些修法能夠實質的去提升這些百分比有沒有預估的百分比可以從現在57.6%可以有效提升讓那些人才能夠留在台灣我們現在金卡是另外有一個金卡的標準要去重新討論包括金卡很嚴格它要月薪16萬
transcript.whisperx[785].start 21655.939
transcript.whisperx[785].end 21672.664
transcript.whisperx[785].text 那但是對於這次修法外國專業人才跟特定專業人才我們倒有定希望每一年能夠增加六千七百位左右的人才出來那我們希望當然希望更長遠的目標能夠每一年多一萬人進來好那就麻煩律師會這邊繼續努力好謝謝委員謝謝
transcript.whisperx[786].start 21678.459
transcript.whisperx[786].end 21700.595
transcript.whisperx[786].text 好 謝謝王正旭委員那下一位請林德福委員 林德福委員 林德福委員不在好 那可能要拜託王委員好 那下一位麻煩蔡議員發言
transcript.whisperx[787].start 21710.796
transcript.whisperx[787].end 21738.672
transcript.whisperx[787].text 好謝謝主席我們是不是有請國發會我們主委跟我們勞動部勞動部的這個跨國勞動力管理組組長好那就請劉委員還有組長發主委好那上午大概也是都
transcript.whisperx[788].start 21740.339
transcript.whisperx[788].end 21757.562
transcript.whisperx[788].text 在聽美國委員的詢答那也有講到了很多金卡的問題那我想要請教主委那相關於這樣的就業金卡目前差不多有一萬兩千多一萬三千多那去年增加了三千那看起來
transcript.whisperx[789].start 21758.223
transcript.whisperx[789].end 21776.428
transcript.whisperx[789].text 人數最多是美國然後後來是香港然後日本也是很多那我們再來看另外一個數據另外一個數據就是離開的人數離開的人數對應的當然美國也是最多那香港也是多的
transcript.whisperx[790].start 21777.888
transcript.whisperx[790].end 21804.538
transcript.whisperx[790].text 但是我其中觀察到幾個數字第一個就是說看起來東南亞國家包括印度他們來的人數雖然不多但是他離開的人數是相對就比較多所以是不是變得說以台灣現在的環境對於這些東南亞的人士這一些專業的人才東南亞來的反而他在台灣是留不住的那是不是環境的因素讓他們不會想留在台灣呢
transcript.whisperx[791].start 21806.571
transcript.whisperx[791].end 21831.397
transcript.whisperx[791].text 我們有進行過普查那大概還是在生活環境上面還有待加強讓就是他需要更方便的英語環境因為他有語言的問題一個是語言上的障礙所以造成他包括小孩的就學也好包括生活變異對 這早上我都有聽到不過我比較好奇的是你看像美國啦
transcript.whisperx[792].start 21831.997
transcript.whisperx[792].end 21847.111
transcript.whisperx[792].text 美國大概來的人數跟離開的人數我看起來就差不多在三分之一來了三千多人然後來離開了一千多人相對比例比較低的是日本日本大概是在五分之一左右可是日本留下來的機會比較高
transcript.whisperx[793].start 21849.068
transcript.whisperx[793].end 21876.252
transcript.whisperx[793].text 所以我覺得這個因素應該不是只有英語環境喔還有他們可能國情上的一些差異他們可能會覺得說來台灣後覺得比較適應像美國來甚至東南亞來他可能覺得環境上的落差就比較多所以後來就變得留不住人才主委我覺得因素就會只有英語的環境需要被營造然後這個就業金卡人才會留住嗎
transcript.whisperx[794].start 21878.209
transcript.whisperx[794].end 21899.19
transcript.whisperx[794].text 這個是其中一項如果以美國、印度這些國家來看的話這幾個我們調查下來是這個方向那日本因為它的文化跟我們比較接近我們在調查上面移動的人離開的人也比較少一點那我們大概得到訊息就比較有限
transcript.whisperx[795].start 21902.374
transcript.whisperx[795].end 21913.426
transcript.whisperx[795].text 所以我要再進一步問那我們現在國發會針對這一些來的人才他們大概的居住的地點會選擇哪邊
transcript.whisperx[796].start 21915.314
transcript.whisperx[796].end 21939.545
transcript.whisperx[796].text 目前來講47%在台北那新北的只有14%那如果是金卡的部分那如果特專來講也是在台北58%台中占13.8%新竹占13.4%那大概那非六都之外的呢非六都我們現在手上比較沒有手上沒有
transcript.whisperx[797].start 21941.185
transcript.whisperx[797].end 21955.919
transcript.whisperx[797].text 應該低於我們同仁認為是低於10%低於10%我猜也是這樣那所以會不會變得說這些就業金卡然後他們來但是相對是可能在六都尤其是在台北光台北就47%所以變得說
transcript.whisperx[798].start 21958.86
transcript.whisperx[798].end 21980.385
transcript.whisperx[798].text 這部分還是會有城鄉落差就是說因為如果以缺工來看每個企業都會有缺工的狀況但是看起來要引進這樣的專業人才他們卻沒有辦法把他留在台北以外的都市那這個也是會有產生城鄉差距所以主委你怎麼樣去看這部分的問題要來做一個彌補
transcript.whisperx[799].start 21981.625
transcript.whisperx[799].end 22006.681
transcript.whisperx[799].text 這個部分有兩件事要做第一個是我們可能可以再多做一點宣導讓六都以外的企業知道第二個部分是我們有跟經濟部在溝通在未來人才越來越缺乏的情況下企業可能會有越來越多的外籍專業人士進來這家公司在管理上面就會出現有多語言的問題
transcript.whisperx[800].start 22007.97
transcript.whisperx[800].end 22026.45
transcript.whisperx[800].text 那我们现在也希望透过双语政策去协助这些企业培训他们内部的语言的管理能力那这个会越来越多那像我在彰化就遇到几个自行车产业他们现在内部就开始有很多外国专业人士从美国过来的或者从欧洲过来的
transcript.whisperx[801].start 22027.091
transcript.whisperx[801].end 22043.046
transcript.whisperx[801].text 那他們現在在慢慢也開始形成了中小企業也具備多餘的能力那我們也希望能夠盡快的協助到更多的中小企業具備這樣的能力讓他們更有信心去招募這樣的人才好那我再問一個就是說
transcript.whisperx[802].start 22045.458
transcript.whisperx[802].end 22072.396
transcript.whisperx[802].text 除了這個專業人才啦事實上企業的缺工他在於一些傳統的一些需要的移工他也是有高度的需求但是我們台灣現在有一個很大的問題這部分我也希望勞動部等下回答就是說台灣在於審查一些企業然後一些領域上他們是否要開放移工審查得很慢
transcript.whisperx[803].start 22073.868
transcript.whisperx[803].end 22084.723
transcript.whisperx[803].text 比方說我之前在講說一樣是在這個加工廠的一個上班如果你是在續產的加工廠
transcript.whisperx[804].start 22086.479
transcript.whisperx[804].end 22103.752
transcript.whisperx[804].text 可以請的移工的這個比重就比在水產的加工廠還要多所以對於請水產的加工廠他所可以申請移工的比例就比較吃虧所以這部分他在做當時在做申請的時候 哇 審查了快三年耶
transcript.whisperx[805].start 22105.579
transcript.whisperx[805].end 22121.957
transcript.whisperx[805].text 這樣就審查了三年就是單就這一件事讓蓄產跟水產可以一致的這件事就省了三年那最近事實上有很多產業像我也有跟勞動部去談過像台灣的高峰煙火高峰煙火的產業事實上也是
transcript.whisperx[806].start 22123.699
transcript.whisperx[806].end 22140.335
transcript.whisperx[806].text 講白的他也是很雖然是傳統但是他也是危險性風險性比較高的一個產業事實上你要應徵到人才也是很困難結果也是審查了好久從我反應到現在大概也已經經過近兩年了
transcript.whisperx[807].start 22142.742
transcript.whisperx[807].end 22159.651
transcript.whisperx[807].text 已經兩年了所以這個審查的速度效率不彰變得說我們台灣很多產業需要移工的時候結果就卡在我們整個勞動部你們在做這些評估的時候花了好久的時間這到底是為什麼啊
transcript.whisperx[808].start 22162.566
transcript.whisperx[808].end 22185.784
transcript.whisperx[808].text 報導委員目前移工開放其實我們是全面線上申辦的那委員所提的應該是說如果開放一個新的業別或者是他現有的合併比例要去調整那他的這比例調整的部分那這評估的程序可能可以在這個調可以再做縮短那事實上是因為要評估一個新的業別的調整
transcript.whisperx[809].start 22186.164
transcript.whisperx[809].end 22210.627
transcript.whisperx[809].text 那勞動部會去跟主管機關比方說像剛剛提到的如果是爆裂物的話那就跟經濟部就工廠的部分來進行評估那另外環保部也會跟這個環境部這邊來做協商那整體的考量規劃會在這個不影響國人就業以及在促進國人加薪的這種前提之下再來評估這個可以引進的人數以上
transcript.whisperx[810].start 22211.751
transcript.whisperx[810].end 22225.239
transcript.whisperx[810].text 組長你給我的這些都是自私的答案啦我也相信你們會跟其他部會去做評估會跟經濟部會跟環境部啊但是咧就是慢啦速度就是慢啦
transcript.whisperx[811].start 22226.507
transcript.whisperx[811].end 22248.518
transcript.whisperx[811].text 這個才是問題啊所以我覺得這件事你們要檢討啦好不好國發會這邊應該也是要督促勞動部很多產業事實上我們除了這一些專業的人才要讓他進來之外對於很多移工這個很多勞動力不足需要移工的這件事我們確實非常的溫吞非常的慢
transcript.whisperx[812].start 22249.691
transcript.whisperx[812].end 22269.104
transcript.whisperx[812].text 這個才是現在台灣整個企業遇到的大危機這部分我覺得國發會我們也想要督促相關部會說該削的時候手腳要快一點就要快一點怎麼這樣一直拖呢好不好是的好 那就麻煩主委好 謝謝好 謝謝蔡議員的發言也謝謝主委跟組長的答詢
transcript.whisperx[813].start 22279.977
transcript.whisperx[813].end 22295.927
transcript.whisperx[813].text 好來下一位請謝依鳳委員詢答謝謝主席我想要請我們的劉主委請主委謝委員好
transcript.whisperx[814].start 22304.775
transcript.whisperx[814].end 22315.687
transcript.whisperx[814].text 主委好我想请问就是国发会未来你每年要投入多少钱去培养AI的人才以及
transcript.whisperx[815].start 22316.84
transcript.whisperx[815].end 22346.18
transcript.whisperx[815].text 我們現在雖然說是AI的人才可是在很多的方面例如我們那天在審查的這個個資保護那很多的企業甚至是公部門都需要相關的人才未來國發會要怎麼樣子去規劃現在大家都面臨到這個相關的資訊人才也好在
transcript.whisperx[816].start 22347.02
transcript.whisperx[816].end 22355.497
transcript.whisperx[816].text 某部分可能偏鄉或者是中小企業都面臨到無法取材的這樣子的窘境怎麼樣解決
transcript.whisperx[817].start 22356.725
transcript.whisperx[817].end 22382.794
transcript.whisperx[817].text 就AI人才我们在之前有做过统计那我们相关的数位科技人才从学校来讲STEM的部分可以有六万七千人左右的毕业生那另外我们会加上速发部经济部跟国科会的在那个转职上面的社会教育的部分那那个时候我们统计下来有将近十万人一年
transcript.whisperx[818].start 22383.595
transcript.whisperx[818].end 22410.426
transcript.whisperx[818].text 那現在那是在既有預算下那最近經濟部又提出來他們有一個20萬人的AI人才培育計畫那他們希望是在環球科大這有一個計畫所以我們現在積極的在這個部分去佈建更多的人才那我們在新的AI實像計畫裡面我們在人才上面我們也重新定調在未來到40年之前我們會增加50萬以上的人才出來
transcript.whisperx[819].start 22411.446
transcript.whisperx[819].end 22428.955
transcript.whisperx[819].text 你確定有50萬嗎那為什麼到現在為止最基礎的資訊人才甚至在企業裡面要防各資要保護各資的相關的人才以及在政府部門我們都還有匱乏的這樣子的情況那怎麼樣達成這個目標
transcript.whisperx[820].start 22432.597
transcript.whisperx[820].end 22457.548
transcript.whisperx[820].text 這個因為這幾乎大概是我過去十幾年的生涯當數位產業在蓬勃發展的時候跟需求大量增加的時候其實人才的培育一定會跟不上企業需求的變化那我們過去就只能做能做的事情就是盡量第一個我們盡量培育內部的人才第二個我們吸引外部的人才進來協助所以這幾條路線都在進行中
transcript.whisperx[821].start 22458.448
transcript.whisperx[821].end 22474.906
transcript.whisperx[821].text 所以包括現在有一些外資進來的時候經濟部也會要求他們也能夠帶進一半的人才那有的就先答應了20%那答應的人才之後呢也是要從各國找進來因為不容易像我們最近協助一家企業他從七個國家找進人來
transcript.whisperx[822].start 22477.489
transcript.whisperx[822].end 22492.666
transcript.whisperx[822].text 那我們就協助他們辦到他們的薪資如果能達到金卡的16萬的標準那我們也會協助他用金卡來做所以我們最近都在做那但是如果這次的修法能夠更開放的話會更容易讓大家知道這是高階的那
transcript.whisperx[823].start 22493.947
transcript.whisperx[823].end 22512.374
transcript.whisperx[823].text 問題是在某一些中小企業的部分還是沒有辦法對這些人才不管是AI的也好甚至是比較資訊的或者是在資訊設備上面的這樣子的人才都有缺乏的情況
transcript.whisperx[824].start 22513.655
transcript.whisperx[824].end 22528.609
transcript.whisperx[824].text 現在我們在我們其實有很多這個數位教育就是協助非數位科系的可以轉那目前也蠻多那有多少人這數量我們可能跟各部位收集之後跟委員報告了
transcript.whisperx[825].start 22529.229
transcript.whisperx[825].end 22553.862
transcript.whisperx[825].text 是不是能夠盡快因為要讓所有部會了解而且即便是有這樣子的人才我們有沒有辦法能夠就是幫他們媒合到適合的企業因為現在中小企業甚至比較偏鄉的企業都沒有辦法來獲取他們所需要的資訊人員我現在只是說資訊人員更何況未來如果是高階的AI人員
transcript.whisperx[826].start 22558.584
transcript.whisperx[826].end 22578.947
transcript.whisperx[826].text 那你的AI人才我看到你的AI新十大建设的草案里面你说一年要花1500亿是吗去培训人才吗这个是结合到我们在创新创业投资在总统的这个政见里面他希望能够带动国内投资量人嗯
transcript.whisperx[827].start 22579.608
transcript.whisperx[827].end 22606.909
transcript.whisperx[827].text 达到一年1500亿所以不是单指人才的培训不是人才的培训我们我们有另外一个计划我们是在额外增加50万人的AI人才的计划所以1500亿这个部分是指创业创新而不是培养人才因为我要知道说如果1500亿是培养人才到底能多少出来比如说举例我们现在有100亿放进在这个AI的
transcript.whisperx[828].start 22607.689
transcript.whisperx[828].end 22628.682
transcript.whisperx[828].text 新創上面那我們在100億在創新在綠領這個綠色創新的部分那我們最近也會有100億放進到機器人創新部分大概屬於像這樣的一個計畫那包括我們最近會有創新創業這個創業競賽那這些都是在希望能夠帶動跟協助這個產業的發展還有新創的發展
transcript.whisperx[829].start 22631.624
transcript.whisperx[829].end 22652.591
transcript.whisperx[829].text 未來我有看到你們要推動智慧交通智慧城市等等我們希望大家可以在全民智慧車路圈裡面發展你們到底規劃的如何因為我們知道說未來一定是高齡化的一個現象像美國已經有WEMO有Robotex等等的這樣子的情況對於中南部的
transcript.whisperx[830].start 22653.351
transcript.whisperx[830].end 22673.603
transcript.whisperx[830].text 一個民眾來說他的就是說他的交通系統沒有辦法像六都有這樣子比較便捷的這樣公共運輸那你到了中南部當現在有產生了高齡化的駕駛的問題的時候你說請他們去做公共運輸
transcript.whisperx[831].start 22674.423
transcript.whisperx[831].end 22701.491
transcript.whisperx[831].text 可是你往中南部走嘛是不是你知道說中南部怎麼會有辦法有便捷的大眾運輸那未來如何解決這個問題當你在說智慧交通的時候我想要請問我們的現在的路況有沒有辦法符合智慧交通的情況以及未來我們怎麼樣子解決這樣子一個
transcript.whisperx[832].start 22703.055
transcript.whisperx[832].end 22713.929
transcript.whisperx[832].text 大家如果不要大家沒有辦法開車高齡的長者沒有辦法開車你怎麼樣給予他們便捷的大眾運輸系統在中南部
transcript.whisperx[833].start 22715.02
transcript.whisperx[833].end 22736.912
transcript.whisperx[833].text 這樣子的情況這怎麼改善我想委員提的是一個非常好的議題那的確在農村大家會有交通不便性的問題我們會把這個問題反映到負責整個智慧生活圈的國科會然後他會搭在我們數位國家2.0的方案裡面
transcript.whisperx[834].start 22737.512
transcript.whisperx[834].end 22762.728
transcript.whisperx[834].text 去实施这个数位交通的智慧交通的部分所以那是国会负责对但是我会把这个讯息跟国会分享一下因为这个的确在如果我们待过乡下都知道这真的是在中南部非常困难非常困难也带需要解决的问题因为很多的村庄连大众交通工具都没有根本都没有没有连公车都没有所以我们得重视这样的问题好谢谢好谢谢
transcript.whisperx[835].start 22768.936
transcript.whisperx[835].end 22790.308
transcript.whisperx[835].text 好 謝謝 謝宜鳳委員來 下一位請蔓玉珍委員諮詢是主席 有請國防會主委請主委委員好
transcript.whisperx[836].start 22793.721
transcript.whisperx[836].end 22808.38
transcript.whisperx[836].text 我們一直都很支持吸引更多的國際專業人才來台灣發展也希望他們願意留下來除了工作條件好以外能不能照顧好他們的家庭
transcript.whisperx[837].start 22808.76
transcript.whisperx[837].end 22814.907
transcript.whisperx[837].text 也很重要這個是我們大家都關心的但實際上要落實這些政策我們部會之間有沒有協調的關鍵所以我們想要請教說國發會目前是不是已經和勞動部
transcript.whisperx[838].start 22825.439
transcript.whisperx[838].end 22844.853
transcript.whisperx[838].text 或者內政部有建立一個常設性的行政協調的機制來確保像說配偶居留或者工作許可會不會遭到太多的行政障礙目前有哪一些具體的協助這樣子可以說明一下嗎
transcript.whisperx[839].start 22846.133
transcript.whisperx[839].end 22873.149
transcript.whisperx[839].text 我們在這次的修法那對於像取得永居的都可以有配偶眷屬來到台灣那這個部分是我們確定是有開放那這個部分也經過部會的協調也應該障礙是應該是我們認為應該是沒有什麼太大的障礙那所以在這個部分我們有一定的開放
transcript.whisperx[840].start 22874.386
transcript.whisperx[840].end 22902.722
transcript.whisperx[840].text 所以說有開放但是說這樣子的效率或者是說有沒有像說單一窗口啊或者是怎麼樣去協助因為家庭來這邊是不是可以就一次完成或者申請就是跑很多的部門就像移民署啊外交部啊就是跑來跑去這樣子的所以我們希望說在這個部分是不是有比較便利或者宣傳的部分有沒有是更落實的部分
transcript.whisperx[841].start 22903.703
transcript.whisperx[841].end 22927.806
transcript.whisperx[841].text 那委員是不是請我們同仁對這個比較細節的部分說明那如果有需要改善我們再來謝謝委員的關心那有關於協助我們外籍人士他的一個家庭團聚的這個部分呢除了我們Talent Taiwan本來就有在做相關的一個協助包括他依親的申請然後來台定居他的子女
transcript.whisperx[842].start 22928.426
transcript.whisperx[842].end 22946.62
transcript.whisperx[842].text 子女教育甚至我們這次修法也處理了特專以上的配偶的一個工作權那除此之外其實內政部移民署那邊也有針對新住民這個部分來做一些協助我想我們相關部會都是共同的來提供這個
transcript.whisperx[843].start 22947.381
transcript.whisperx[843].end 22968.158
transcript.whisperx[843].text 我晚上的服務 以上所以是說橫向的合作或者討論所以這個都有去完整的一套措施讓大家就是說來這邊想要願意留下來家人來這邊的話也方便所以他的工作時可這個部分都有再去做協助就對了
transcript.whisperx[844].start 22969.119
transcript.whisperx[844].end 22982.975
transcript.whisperx[844].text 是的好谢谢所以我们希望说就是在停留的时间啊啊到底够不够我们国发会有没有评估过说我们可能要考考虑或者是呃参考就像说呃
transcript.whisperx[845].start 22983.936
transcript.whisperx[845].end 22996.28
transcript.whisperx[845].text 歐洲就是一年多次入境因為現在入境的話的時間都是辦來入境三個月要回去又再來就是說有一次就是說他們的簽證是不是說一年入境後簽證就是隨時都是回去再來又不用辦但是這個簽證就像我們越南的我們就是一本簽證這本簽證我們就可以用五年來來去去都不用再辦這樣子的一個
transcript.whisperx[846].start 23011.565
transcript.whisperx[846].end 23013.326
transcript.whisperx[846].text 一個方便 就像香港也是彈性的停留的機制所以我們家人是在我們的攬財這個部分有沒有這樣子的一個規定或政策這樣
transcript.whisperx[847].start 23026.714
transcript.whisperx[847].end 23050.575
transcript.whisperx[847].text 回應委員的一個推詢那有關這個部分我們要分兩個部分那如果說是配偶跟未成年子女是屬於一親那一親就是隨同居留那這個部分是沒有問題的那另外 父母呢 父母的部分那針對直系遵親屬這個部分我們是放寬就是特定專業人才及高級專業人才他的直系遵親屬他來台的停留可以
transcript.whisperx[848].start 23053.938
transcript.whisperx[848].end 23081.407
transcript.whisperx[848].text 就是直接延期不用出境這個部分是可以一直延期停留的所以它是一直延期是來三個月再延期六個月還是延期一年應該我們都是6加6然後之後再持續的一個延期那這個都是可以不用出境在我們這次修法之後它超過一年的部分要再延期的話它也可以不用出境只是我們會要求說要提供它醫療保險的一個證明這樣子
transcript.whisperx[849].start 23083.608
transcript.whisperx[849].end 23090.951
transcript.whisperx[849].text 很好所以我們希望這個部分有放寬有這樣的所以有很多人去問所以今天聽你們講就是你們是有的但是有很多人是你們宣傳就是可能不夠希望這一塊的話跟做一個懶人包讓這個企業或者是說這些人才他們要留下來他們關於他們的家庭也安心
transcript.whisperx[850].start 23106.798
transcript.whisperx[850].end 23129.326
transcript.whisperx[850].text 父母來台探親也是安心這樣的話讓更多的人留下來我們希望的是這樣所以我也知道說我們現在全球都在搶人像我們我去越南的時候辦事處的大使也希望說我們越南就是要來台灣的人數要超越
transcript.whisperx[851].start 23130.406
transcript.whisperx[851].end 23156.317
transcript.whisperx[851].text 就是印尼要去攬柴所以我們希望這一塊呢就是在我們國發會也有一些說希望說免費全部就是免費來台灣就是來學習就是科技業的就是人才留在台灣但是問題在這一塊我們有沒有考慮說我們台灣現在有八十就是八萬吧
transcript.whisperx[852].start 23156.937
transcript.whisperx[852].end 23173.095
transcript.whisperx[852].text 八十万的移工八十一万的移工在台湾他们也是有中阶基层可以留财这个部分对不对如果是这个放宽还有加上我们国发会有这样子揽财的政策我们要去找
transcript.whisperx[853].start 23174.036
transcript.whisperx[853].end 23192.166
transcript.whisperx[853].text 外國人雙移來台灣我們要栽培他也不一定留下來就剛才我們其他委員問的很多我們人才就是留下來的距離很少對不對但是移工來這邊也不見得不是人才如果他們有這樣子的合法又合我們的國發會的規定
transcript.whisperx[854].start 23193.807
transcript.whisperx[854].end 23198.252
transcript.whisperx[854].text 是不是從中來去把這群就是漁工他們成為就是人才這樣子的話是不是馬上就解決企業切工的又馬上就可以有這些人才可以因為適應的他們自己已經適應了關於專業
transcript.whisperx[855].start 23212.907
transcript.whisperx[855].end 23216.69
transcript.whisperx[855].text 他們再來栽培這樣是不是就會減少很多我們政府的資源這個部分請我們國發會這邊來做參考還有關於說剛才你講這些的話資料可以給我們一份讓我們是可以幫你們廣宣因為你們宣傳不夠所以很多人跟我們反映所以就希望國發會
transcript.whisperx[856].start 23234.464
transcript.whisperx[856].end 23246.867
transcript.whisperx[856].text 這兩個部分是不是可以給我一個相關的資料因為這內容是這次修法才有的所以可能法令過了我們才能廣宣好沒問題我希望說就是關於剛才說你說的那個就是家人來台怎麼樣去照顧怎麼樣讓他有工作許可還有父母他們來台他們怎麼樣的簽證
transcript.whisperx[857].start 23258.649
transcript.whisperx[857].end 23263.976
transcript.whisperx[857].text 可以再延這個部分你們一定是已經在做有這樣子的政策所以我們希望就比較完整了剛才我建議的這個部分因為國發會為了要栽培人才要去攬財國外來這邊栽培我們要
transcript.whisperx[858].start 23274.95
transcript.whisperx[858].end 23300.356
transcript.whisperx[858].text 全額補助但是問題我們現在有八十幾萬這些移工都是有很多人才的我們要怎麼樣在這邊來去讓他們變成我們企業的專業人才這個也是很好的一個方式啦希望是拿來做參考如果未來有這樣子開放的話我希望真真的是解決缺工的問題也是留住人才的方案這樣以上謝謝
transcript.whisperx[859].start 23306.837
transcript.whisperx[859].end 23326.046
transcript.whisperx[859].text 好謝謝蔓玉珍委員那下一位請邱志偉委員質詢好謝謝主席請國防部的劉書偉然後經濟部江市長陀省市的蘇市長
transcript.whisperx[860].start 23333.798
transcript.whisperx[860].end 23357.775
transcript.whisperx[860].text 請以上的觀眾投審師的蘇師長蘇師長不是投訴那個次長下午不在市長在投審師好投審師也不在在投審師在 只有次長不在投訴不用了 投審就好了
transcript.whisperx[861].start 23359.906
transcript.whisperx[861].end 23380.233
transcript.whisperx[861].text 最主要是第一個問題請教一下主委跟這個市長因為今天市長不在就是我們把華為跟中興列出口的管制的名單就是說對這個戰略性高科技的這個出口管制我們一下列601好幾個國家其中包括這個中興跟華為這個市長您知道嗎市長您知道嗎
transcript.whisperx[862].start 23387.129
transcript.whisperx[862].end 23408.343
transcript.whisperx[862].text 跟委員報告這個是那個出口管制的問題那是國貿署但是今天沒有經濟部代表是誰市長沒來總算有個代表跟委員報告貿易署貿易安全管理辦公室代表是啊但是我今天要請教市長市長也不在也沒有代理人
transcript.whisperx[863].start 23410.133
transcript.whisperx[863].end 23434.621
transcript.whisperx[863].text 這個我為什麼提出這個問題啊 我要請問主委 這個當然兩岸關係這個高科技戰很重要我們對於他們的這個出口管制早就該做了 但是是單向的進口管制有沒有 比方說我們的半導體廠商跟這個中興華為去投片去投單 這個有沒有管制 或者有沒有必要管制
transcript.whisperx[864].start 23437.338
transcript.whisperx[864].end 23463.832
transcript.whisperx[864].text 現在是單項嘛現在國貿署公布是單項現在雙項是不是也應該去考慮跟委員報告目前各國的出口管制制度原則上都是管制出口進口是比較特殊的狀況才會管中國是特殊的國家啦你如果跟他們投片買他們東西他裡面如果有什麼做什麼手腳這個有可能啊
transcript.whisperx[865].start 23465.157
transcript.whisperx[865].end 23485.926
transcript.whisperx[865].text 所以也對本土的企業會造成影響同樣在國內有生產當然他們會用他們的低價策略或者是國家補助造成他的競爭優勢但是我們要做適度的管制主委您贊成嗎
transcript.whisperx[866].start 23488.042
transcript.whisperx[866].end 23512.291
transcript.whisperx[866].text 這個我是贊成的,我想我會把委員的意見反映到經濟部實化面板,他們是複製台灣經驗然後用國家補貼,然後再加上這個低價競爭他就是用這個量來衝到他的這個市場戰略率接著下一步就是伸手製程這時候是也面臨很大的危機啊
transcript.whisperx[867].start 23513.127
transcript.whisperx[867].end 23539.703
transcript.whisperx[867].text 沒錯所以這個我覺得應該對國內廠商對中國的比如說中興華為的頭片應該有所管制或者有點限制好那因為經濟部很多問題都沒有沒有一個經濟部的主委可以回答金木今天只有只有投審室跟投訴室好我先問一下主委第一個問題請教就是說Talent Taiwan
transcript.whisperx[868].start 23542.552
transcript.whisperx[868].end 23559.61
transcript.whisperx[868].text 這個國際人才的研覽中心你要有一定的資料而且要精準就是說對海外的人才這個資料庫一定要很精準所以目前您對這個目前這個相關資料庫您的看法怎麼樣
transcript.whisperx[869].start 23561.221
transcript.whisperx[869].end 23579.969
transcript.whisperx[869].text 我們現在的確過去我們對這個資料的掌握度是精準度是不足的所以我們在這次修法裡面我們就放進來就是希望我們能夠有比較能夠掌握到這些人員相關的資料包括去向那等等資料的取得
transcript.whisperx[870].start 23580.689
transcript.whisperx[870].end 23607.801
transcript.whisperx[870].text 那我們如果能夠得到大院的同意之後我們就會可以依法來取得這些資料來來做分析跟管理因為資料庫的目的是要完整而且要精確才能發揮它的功能嘛那第一個不夠完整第二個不夠精確所以這部分我想請國安會繼續再加強這一部分那第二個問題請教主委就是說當然我們這個攬財專法我覺得只解決部分的問題那這個
transcript.whisperx[871].start 23610.558
transcript.whisperx[871].end 23626.831
transcript.whisperx[871].text 我上一屆我有提案這個《新經濟移民法》神經行政委員會把它列為優先法案我覺得《新經濟移民法》是比較全面的我也跟你請教過好幾次為什麼不把《新經濟移民法》一個完整的法律配套能夠來推動
transcript.whisperx[872].start 23628.613
transcript.whisperx[872].end 23641.769
transcript.whisperx[872].text 這個一方面可以解決人才專法的問題二方面其他的相關產業也會有解決缺工的問題所以這部分主委您的看法怎麼樣這個我們是有討論過因為現在
transcript.whisperx[873].start 23646.114
transcript.whisperx[873].end 23670.489
transcript.whisperx[873].text 當時在早年在經濟營運法之後就分開來處理了那對於這個中階勞工的部分勞動部現在有救福法那最近他們也在做一些優化了所以就從中階人才到一般勞工到白領就這三個地方是完整的分部就兩個部會合作就可以達到
transcript.whisperx[874].start 23671.829
transcript.whisperx[874].end 23700.266
transcript.whisperx[874].text 這個不同部會去組成就沒有一個統合機關那你的績效考核也沒有辦法去做到位所以我當初為什麼主張要新基民法就是由國發會來做統籌來做這個相關的進度或者是執行狀況的考核那現在分散到各部會各部會執行狀況也沒有很完整也沒有很一致所以未來有沒有可能再繼續推動新基民法
transcript.whisperx[875].start 23703.097
transcript.whisperx[875].end 23725.946
transcript.whisperx[875].text 這件事是我們這個當然要看後面的滾動式的調整所以這個事情是還是在開放的態度中但是回過來講現在我們原來的想法是說這樣速度很快因為我們負責白領的部分然後勞動部負責藍領跟灰領的部分
transcript.whisperx[876].start 23727.186
transcript.whisperx[876].end 23745.887
transcript.whisperx[876].text 阻擇清楚那大家動作就可以減少一層溝通與協調避免在跨部會協調中的力道不足但是您所提的部分我們現在是我們持開放意見來看這件事不同的部會負責不同的業務它分散不同委員會
transcript.whisperx[877].start 23747.228
transcript.whisperx[877].end 23767.476
transcript.whisperx[877].text 如果集中在新進民法就是在國會主管 國會應該是從宏觀的角度去看這個這個國際移工或者勞動力缺乏的問題而不是由各部會來 我想這個部分找時間再來討論其實除了除了主委之外其他其他請回那是不是我請勞動部勞動部代表來勞動部這個
transcript.whisperx[878].start 23776.764
transcript.whisperx[878].end 23794.143
transcript.whisperx[878].text 缺工的問題我覺得百工百業都面對的缺工也說是一個勞動力不足是一個國家安全的問題所以這部分特別是傳統製造業傳統製造業就是3K的部分中南部都是傳統製造業
transcript.whisperx[879].start 23796.831
transcript.whisperx[879].end 23814.198
transcript.whisperx[879].text 這個真的是找不到這個勞動力年輕人平時的想法我不要去那種相對比較不好的工作環境比較辛苦的工作環境他選擇比較薪水低但是工作環境比較好選擇服務業所以這個低薪問題沒辦法解決第二個勞動力傳統產業的勞動力永遠是缺乏所以這個製造業這個
transcript.whisperx[880].start 23822.011
transcript.whisperx[880].end 23843.06
transcript.whisperx[880].text 百工百業都是缺工所以這種情況之下當然會影響到這個傳送產業競爭力有一個規定就是說3K5級表那是幾年前十幾年前制定3K5級表所以有分5級的部分就按照不同產業類別它有移工合配的比例那我也曾經
transcript.whisperx[881].start 23844.555
transcript.whisperx[881].end 23863.274
transcript.whisperx[881].text 跟行政院長說明過這部分是不是有檢討的必要比如說行業的類別可以可以升級或者是可以不像說從B級到A級或者是全部這五級的比例足以增加比如說Aplus我們從35到40
transcript.whisperx[882].start 23867.638
transcript.whisperx[882].end 23890.255
transcript.whisperx[882].text A從25到30這個當然比例可以去調整可以去計算這個不要影響到國內的勞動力市場所以這個部分我想我也跟很多產業都有討論過他們都希望說能夠在整個3K5級表這部分可以做一些調整從國安會角度或者勞動部的立場各位的看法呢這個主委
transcript.whisperx[883].start 23893.815
transcript.whisperx[883].end 23908.405
transcript.whisperx[883].text 就我們的看法能夠讓台灣的勞動率能夠充足是很重要的事情那這個其實我們也一直有在溝通勞動部我想勞動部也有一些作為好 勞動部的看法呢
transcript.whisperx[884].start 23910.046
transcript.whisperx[884].end 23934.026
transcript.whisperx[884].text 是 謝謝委員 那目前製造業已經有3K5集市再加一個附加就安定費可以提高比例的制度那我想這個制度也實施一段期間我們會再跟經濟部跟國發會我們會持續的再來檢討說是不是有一些地方可以再加一段附加是解決部分的問題啦你要全面解決你所說的所有傳統製造業的問題你就是從比例上去做增加
transcript.whisperx[885].start 23935.228
transcript.whisperx[885].end 23945.782
transcript.whisperx[885].text 這個可以精算沒有你增加一趴兩趴會對國內勞動力市場形成什麼影響對移工增加會多少數量能不能解決這個勞動力缺乏的問題我覺得這個應該及時去啟動檢討這個3K5機制
transcript.whisperx[886].start 23953.44
transcript.whisperx[886].end 23968.006
transcript.whisperx[886].text 好 謝謝委員的建議那我們會再跟經濟部來整體的來思考就包括本國勞工也要照顧那在合備比例上面是不是也可以做一些檢討好 謝謝因為我時間也到了大家辛苦了謝謝 謝謝周委好 謝謝委員好 謝謝 謝謝邱志偉委員
transcript.whisperx[887].start 23972.95
transcript.whisperx[887].end 23988.637
transcript.whisperx[887].text 那下一位請鍾嘉斌 鍾嘉斌 鍾嘉斌委員不在那下一位請陳昭芝 陳昭芝委員 陳昭芝委員不在請羅美玲委員 羅美玲委員 羅美玲委員不在好下一位請林月琴委員發言
transcript.whisperx[888].start 24005.659
transcript.whisperx[888].end 24021.447
transcript.whisperx[888].text 主席 麻煩我們的經濟部的江次長江次長下午不在喔 不好意思他跟我請假 我准假經濟部是投入省司跟投資促進司那我請那個
transcript.whisperx[889].start 24034.608
transcript.whisperx[889].end 24052.44
transcript.whisperx[889].text 老發老發署的那個蘇玉國好請老發署還有衛福部的長照師的市長在嗎來衛福部長照師長照師市長在好
transcript.whisperx[890].start 24062.073
transcript.whisperx[890].end 24070.559
transcript.whisperx[890].text 所以我們首先來看到整體的勞動力的長期趨勢根據國安會去推估2070年代台灣的工作
transcript.whisperx[891].start 24071.092
transcript.whisperx[891].end 24089.097
transcript.whisperx[891].text 人口 大家只剩下696萬人 單年平均減少18萬人這樣表示什麼 就是我們的可以運用的勞動的人力快速的萎縮這不是所謂的短期的經濟波動 而是結構性的挑戰所以這樣的趨勢 勢必會對產業發生人力的補充的一個
transcript.whisperx[892].start 24094.166
transcript.whisperx[892].end 24122.837
transcript.whisperx[892].text 的確勞動部在這幾年用了一些政策比如說除了針對本國人的雇用就業獎勵等促進就業措施那對青年跟女性的穩定就業措施以及對中高齡跟高齡者的持續就業 延緩退休跟退休後的再就業措施以外所以想問說針對勞動部這邊對於非勞動人口的開發是不是你們現在主要的政策
transcript.whisperx[893].start 24125.531
transcript.whisperx[893].end 24145.302
transcript.whisperx[893].text 回答委員 我們的確現在目前對於我們的這個中高齡跟二度就業婦女也是認為是可以再開發的所以在本部勞動運營發展署也是有在持續的提出一些措施是不是還可以再提升這個我們中高齡跟婦女的勞動參與率
transcript.whisperx[894].start 24146.904
transcript.whisperx[894].end 24157.772
transcript.whisperx[894].text 特別是在照顧離職這一塊現在部裡面也在思考怎麼樣來協助他們我們現在看到數據來看雖然我們的失業率不是這麼高只有3.33%可是20到24歲的青年的大概是11.3%是最高的
transcript.whisperx[895].start 24168.18
transcript.whisperx[895].end 24189.116
transcript.whisperx[895].text 那中高零跟二度就業的話也是一個可運用的人力所以我覺得勞動部應該要去考量到說那這些人力的開發有沒有去做耕耘那盡最大努力我們當然希望本國的勞動人口能夠進入到市場來可是還是沒有辦法緩解缺工的問題
transcript.whisperx[896].start 24189.776
transcript.whisperx[896].end 24217.337
transcript.whisperx[896].text 所以比较务实的就要引进到外来的那个劳动力所以110年起因应我们的以后的缺工状况陆续松绑产业跟制造农业跟看护工的一些规定从疫情最低的110年的3月起大概65.9万人到114年3月底的话再来一共大概83万人增加17.1万成长约26%想问劳动部就近来你对于
transcript.whisperx[897].start 24217.797
transcript.whisperx[897].end 24235.829
transcript.whisperx[897].text 你們對於運輸業有沒有考量開放聘僱移工擔任隨車助理和理貨員因為這個呼聲我們在問產業界他們覺得這事實上是需要的所以勞動部有沒有一個朝向同意開放的方向做規劃進度是什麼好 那向委員報告就是我們其實已經在最近也跟我們交通部
transcript.whisperx[898].start 24244.69
transcript.whisperx[898].end 24262.881
transcript.whisperx[898].text 也在討論這個有關運輸業要引進外國人力的問題那在要延攬的對象我們也討論認為是優先先以僑外學生這樣的一個優質人力作為一個延攬的對象先講的是隨車助理跟理貨員還不是司機
transcript.whisperx[899].start 24264.122
transcript.whisperx[899].end 24289.644
transcript.whisperx[899].text 隨車助理跟理貨員的這塊我們在前兩個月也有預告蘭嶺的審查標準也把這個橋外學生可以從事包括貨車司機跟理貨員的這樣的工作也納進來不過因為現在預告之後社會各界還是有一些政策上面以及配套措施有一些不同的意見所以目前也在跟交通部持續的在收集社會上的意見
transcript.whisperx[900].start 24290.325
transcript.whisperx[900].end 24311.058
transcript.whisperx[900].text 那再進一步想問是說你們有在規劃中的還有哪些產業?在上一次的法規預告裡面還有包括了我們的醫院裡面的護理護主那也有包括客運司機駕駛員以及安全管理人員那這幾個都是你剛才的預告
transcript.whisperx[901].start 24313.599
transcript.whisperx[901].end 24330.781
transcript.whisperx[901].text 業者的駕駛 所以2022年大四月30號 我們開放外國人從事中階技術的工作的話他還包含製造營造跟農業屠宰那漁撈與看護那2024年還新增了旅宿業的僑外生納入到中階的技術工作 這顯示政府有
transcript.whisperx[902].start 24331.539
transcript.whisperx[902].end 24354.989
transcript.whisperx[902].text 逐步去回應人力不足的地方所以也想問就是說勞動部這邊運輸業有開放中階擔任駕駛的呼聲可是台灣道路交通狀況複雜違規駕駛所造成的事故事實上是頻繁的面對實際狀況跟產業的訴求那我不知道勞動部你們的態度是什麼
transcript.whisperx[903].start 24358.008
transcript.whisperx[903].end 24385.709
transcript.whisperx[903].text 那我想的確如委員所說的交通安全這個是最重要的那再怎麼樣缺工透過我們不管是補充橋外生或者是外國人都應該要以這個為重所以我們現在也跟交通部有保持的如果那請交通部這邊也要再提出完整的一個政策評估跟配套措施特別是在交通安全的部分這現在持續在討論當中是由交通部持續的在評估跟規劃中
transcript.whisperx[904].start 24386.758
transcript.whisperx[904].end 24403.643
transcript.whisperx[904].text 那一樣的就問勞動部跟衛福部的市長這邊長期照顧產業因為人力缺乏導致業間照顧服務項目沒有辦法開辦因為開放中中階的那個聘僱人力的訴求那請問一下兩位你各自同意這項開放嗎
transcript.whisperx[905].start 24408.946
transcript.whisperx[905].end 24426.782
transcript.whisperx[905].text 跟委员说明事实上我们也因应国人比较不喜欢从事的一些时段工作我们其实在我们相关的法规也同步在做修正那我们也提了修法案给了劳动部那劳动部也纳在研议当中那劳动部研议的进度呢
transcript.whisperx[906].start 24429.529
transcript.whisperx[906].end 24453.962
transcript.whisperx[906].text 向委員報告就是除了我們剛剛也有講到像在長照機構的這個評估人力我們先前跟衛福部檢討過後有做法規鬆綁之外那目前跟衛福部討論的就是在醫院裡面的照顧附著所以這一塊我們目前在跟衛福部還在進一步的評估所以接續你剛剛講的就是醫院現在你也要開放中階的那個人力單位
transcript.whisperx[907].start 24455.563
transcript.whisperx[907].end 24484.378
transcript.whisperx[907].text 護理佐的訴求所以這個你們目前也在規劃當中最後就是想問的是目前政府推動的移工的留才久用的方案比較是希望有經驗的移工留下來做中階技術工作可是也設下了很多限制因為中階人力不能超過移工的配額的25%可是所有移工當中中階人力跟外國的專業人才總和又不能超過
transcript.whisperx[908].start 24485.919
transcript.whisperx[908].end 24509.233
transcript.whisperx[908].text 總額員工的50%對很多中小企業來說這些上限都會讓他們即使願意用人但也受限於一個比例的關卡形成制度上的瓶頸所以問勞動部對中介人力不能超過移工配額的25%以及所有移工中介人力跟外國專業人才總額不能超過50%勞動部有沒有意願或有沒有已經規劃要提高額度
transcript.whisperx[909].start 24510.652
transcript.whisperx[909].end 24535.303
transcript.whisperx[909].text 那首先在這個外國人力不可以超過員工50%的這個部分因為基於還是要保障以國人就業為優先那我想這個部分應該還是建議是要維持而且要審慎另外在產業類的部分現行是不能超過移工的合併比例25%也就是四個移工可以留一個資深的移工那我想這個部分
transcript.whisperx[910].start 24535.823
transcript.whisperx[910].end 24563.645
transcript.whisperx[910].text 我們也會再跟經部來共同的檢討看在這一塊是不是可以多留一些我們資深的移工那讓他們可以留下來繼續貢獻而不是轉到其他的這個國家那我們這個人力資源有點是培訓資源上的浪費最後想問勞動部你們有沒有精算這一批移工所繳納的勞保的保費跟未來領取勞保年金給付收支是否得以平衡計算的結果是什麼
transcript.whisperx[911].start 24569.627
transcript.whisperx[911].end 24587.455
transcript.whisperx[911].text 很抱歉委員我是這個勞動力發展組沒有負責勞保人員好 那就事後請你們再回去把資料給我最後就問師長就台灣幾年後大概將有一批取得永久居留的外國人在台灣邁入到高齡他們勢必有使用長照資源的需求的話你們的規劃是什麼
transcript.whisperx[912].start 24590.377
transcript.whisperx[912].end 24609.918
transcript.whisperx[912].text 目前因應專法 事實上我們也有推估了相關永居的外國人才的人數因為28條跟29條分別是針對他的家屬或子女有這些身障者或者是有失能的狀況
transcript.whisperx[913].start 24611.56
transcript.whisperx[913].end 24627.91
transcript.whisperx[913].text 那我们按照这些相关的失能率跟身障的这个肾型率推估出来的人数现在人数是有掌握因为必须还要居留满十年所以这个部分相关数据都有掌握好那在会后再麻烦把这些相关数据给我们这边好谢谢
transcript.whisperx[914].start 24631.189
transcript.whisperx[914].end 24653.747
transcript.whisperx[914].text 好謝謝林月琴林委員那下一位請何新淳委員何新淳委員何新淳委員不在好我們登記發言委員除不在場者外其餘均已發言完畢詢答結束委員張家俊陳昭之蘇清泉柯志恩林淑芬王育敏邱振軍所提書面質詢列入紀錄刊登公報
transcript.whisperx[915].start 24655.106
transcript.whisperx[915].end 24664.83
transcript.whisperx[915].text 書面質詢及未及答覆部分請相關單位於一週內以書面答覆並複製本會好我們本日議程詢答完畢另則其繼續審查謝謝大家現在散會