iVOD / 16698

Field Value
IVOD_ID 16698
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16698
日期 2025-05-22
會議資料.會議代碼 委員會-11-3-19-14
會議資料.會議代碼:str 第11屆第3會期經濟委員會第14次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 14
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.標題 第11屆第3會期經濟委員會第14次全體委員會議
影片種類 Full
開始時間 2025-05-22T08:29:59+08:00
結束時間 2025-05-22T12:50:00+08:00
影片長度 04:20:01
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/16eb79f0bb3b77dbcd64100527991d8c9b5fa2f296a93534a12e9ca99aa835c0dcfc68a90f380a385ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2025-05-22T09:00:00+08:00
會議名稱 立法院第11屆第3會期經濟委員會第14次全體委員會議(事由:一、處理或審查114年度中央政府總預算有關經濟部及所屬主管預算凍結案等39案。 二、處理或審查114年度中央政府總預算有關國家發展委員會及所屬主管預算凍結案等21案。 三、繼續審查: (一)行政院函請審議「個人資料保護法部分條文修正草案」案。 (二)本院委員王美惠等18人擬具「個人資料保護法部分條文修正草案」案。 (三)本院委員羅廷瑋等17人擬具「個人資料保護法部分條文修正草案」案。 (四)本院委員李坤城等16人擬具「個人資料保護法部分條文修正草案」案。 (五)本院委員郭昱晴等19人擬具「個人資料保護法部分條文修正草案」案。 (六)本院委員陳亭妃等16人擬具「個人資料保護法第十二條、第二十七條及第四十八條條文修正草案」案。 (七)本院委員蔡易餘等18人擬具「個人資料保護法部分條文修正草案」案。 (第六案及第七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 08:29:59 - 12:50:00
transcript.pyannote[0].speaker SPEAKER_17
transcript.pyannote[0].start 1819.78034375
transcript.pyannote[0].end 1820.20221875
transcript.pyannote[1].speaker SPEAKER_16
transcript.pyannote[1].start 1825.23096875
transcript.pyannote[1].end 1827.13784375
transcript.pyannote[2].speaker SPEAKER_16
transcript.pyannote[2].start 1827.18846875
transcript.pyannote[2].end 1827.37409375
transcript.pyannote[3].speaker SPEAKER_16
transcript.pyannote[3].start 1828.65659375
transcript.pyannote[3].end 1828.99409375
transcript.pyannote[4].speaker SPEAKER_16
transcript.pyannote[4].start 1829.68596875
transcript.pyannote[4].end 1830.63096875
transcript.pyannote[5].speaker SPEAKER_16
transcript.pyannote[5].start 1836.01409375
transcript.pyannote[5].end 1836.41909375
transcript.pyannote[6].speaker SPEAKER_16
transcript.pyannote[6].start 1836.62159375
transcript.pyannote[6].end 1838.66346875
transcript.pyannote[7].speaker SPEAKER_16
transcript.pyannote[7].start 1839.47346875
transcript.pyannote[7].end 1840.40159375
transcript.pyannote[8].speaker SPEAKER_16
transcript.pyannote[8].start 1840.82346875
transcript.pyannote[8].end 1843.23659375
transcript.pyannote[9].speaker SPEAKER_16
transcript.pyannote[9].start 1843.82721875
transcript.pyannote[9].end 1845.10971875
transcript.pyannote[10].speaker SPEAKER_16
transcript.pyannote[10].start 1845.39659375
transcript.pyannote[10].end 1849.15971875
transcript.pyannote[11].speaker SPEAKER_16
transcript.pyannote[11].start 1849.31159375
transcript.pyannote[11].end 1854.52596875
transcript.pyannote[12].speaker SPEAKER_16
transcript.pyannote[12].start 1854.84659375
transcript.pyannote[12].end 1855.63971875
transcript.pyannote[13].speaker SPEAKER_30
transcript.pyannote[13].start 1855.80846875
transcript.pyannote[13].end 1872.24471875
transcript.pyannote[14].speaker SPEAKER_30
transcript.pyannote[14].start 1873.12221875
transcript.pyannote[14].end 1921.24971875
transcript.pyannote[15].speaker SPEAKER_30
transcript.pyannote[15].start 1921.63784375
transcript.pyannote[15].end 1936.57221875
transcript.pyannote[16].speaker SPEAKER_30
transcript.pyannote[16].start 1936.70721875
transcript.pyannote[16].end 1943.60909375
transcript.pyannote[17].speaker SPEAKER_30
transcript.pyannote[17].start 1943.76096875
transcript.pyannote[17].end 1946.00534375
transcript.pyannote[18].speaker SPEAKER_30
transcript.pyannote[18].start 1946.54534375
transcript.pyannote[18].end 1955.74221875
transcript.pyannote[19].speaker SPEAKER_30
transcript.pyannote[19].start 1956.11346875
transcript.pyannote[19].end 1972.26284375
transcript.pyannote[20].speaker SPEAKER_30
transcript.pyannote[20].start 1972.46534375
transcript.pyannote[20].end 1974.11909375
transcript.pyannote[21].speaker SPEAKER_30
transcript.pyannote[21].start 1974.15284375
transcript.pyannote[21].end 2042.34471875
transcript.pyannote[22].speaker SPEAKER_30
transcript.pyannote[22].start 2042.93534375
transcript.pyannote[22].end 2044.28534375
transcript.pyannote[23].speaker SPEAKER_30
transcript.pyannote[23].start 2044.55534375
transcript.pyannote[23].end 2044.90971875
transcript.pyannote[24].speaker SPEAKER_30
transcript.pyannote[24].start 2044.99409375
transcript.pyannote[24].end 2045.58471875
transcript.pyannote[25].speaker SPEAKER_30
transcript.pyannote[25].start 2046.31034375
transcript.pyannote[25].end 2049.39846875
transcript.pyannote[26].speaker SPEAKER_30
transcript.pyannote[26].start 2049.93846875
transcript.pyannote[26].end 2066.50971875
transcript.pyannote[27].speaker SPEAKER_30
transcript.pyannote[27].start 2066.76284375
transcript.pyannote[27].end 2069.95221875
transcript.pyannote[28].speaker SPEAKER_30
transcript.pyannote[28].start 2070.37409375
transcript.pyannote[28].end 2086.40534375
transcript.pyannote[29].speaker SPEAKER_30
transcript.pyannote[29].start 2086.84409375
transcript.pyannote[29].end 2089.17284375
transcript.pyannote[30].speaker SPEAKER_30
transcript.pyannote[30].start 2089.25721875
transcript.pyannote[30].end 2095.77096875
transcript.pyannote[31].speaker SPEAKER_30
transcript.pyannote[31].start 2096.90159375
transcript.pyannote[31].end 2099.09534375
transcript.pyannote[32].speaker SPEAKER_30
transcript.pyannote[32].start 2100.73221875
transcript.pyannote[32].end 2103.36471875
transcript.pyannote[33].speaker SPEAKER_30
transcript.pyannote[33].start 2103.41534375
transcript.pyannote[33].end 2105.55846875
transcript.pyannote[34].speaker SPEAKER_30
transcript.pyannote[34].start 2105.82846875
transcript.pyannote[34].end 2118.19784375
transcript.pyannote[35].speaker SPEAKER_30
transcript.pyannote[35].start 2118.29909375
transcript.pyannote[35].end 2144.99534375
transcript.pyannote[36].speaker SPEAKER_30
transcript.pyannote[36].start 2145.41721875
transcript.pyannote[36].end 2157.78659375
transcript.pyannote[37].speaker SPEAKER_30
transcript.pyannote[37].start 2158.05659375
transcript.pyannote[37].end 2166.71346875
transcript.pyannote[38].speaker SPEAKER_30
transcript.pyannote[38].start 2166.94971875
transcript.pyannote[38].end 2170.94909375
transcript.pyannote[39].speaker SPEAKER_30
transcript.pyannote[39].start 2171.21909375
transcript.pyannote[39].end 2171.75909375
transcript.pyannote[40].speaker SPEAKER_30
transcript.pyannote[40].start 2174.02034375
transcript.pyannote[40].end 2174.69534375
transcript.pyannote[41].speaker SPEAKER_30
transcript.pyannote[41].start 2176.29846875
transcript.pyannote[41].end 2178.52596875
transcript.pyannote[42].speaker SPEAKER_30
transcript.pyannote[42].start 2178.81284375
transcript.pyannote[42].end 2182.30596875
transcript.pyannote[43].speaker SPEAKER_30
transcript.pyannote[43].start 2182.67721875
transcript.pyannote[43].end 2183.53784375
transcript.pyannote[44].speaker SPEAKER_30
transcript.pyannote[44].start 2183.97659375
transcript.pyannote[44].end 2186.91284375
transcript.pyannote[45].speaker SPEAKER_30
transcript.pyannote[45].start 2187.62159375
transcript.pyannote[45].end 2190.54096875
transcript.pyannote[46].speaker SPEAKER_30
transcript.pyannote[46].start 2190.72659375
transcript.pyannote[46].end 2192.65034375
transcript.pyannote[47].speaker SPEAKER_30
transcript.pyannote[47].start 2192.93721875
transcript.pyannote[47].end 2196.05909375
transcript.pyannote[48].speaker SPEAKER_30
transcript.pyannote[48].start 2196.10971875
transcript.pyannote[48].end 2197.44284375
transcript.pyannote[49].speaker SPEAKER_30
transcript.pyannote[49].start 2197.93221875
transcript.pyannote[49].end 2208.39471875
transcript.pyannote[50].speaker SPEAKER_30
transcript.pyannote[50].start 2209.42409375
transcript.pyannote[50].end 2213.38971875
transcript.pyannote[51].speaker SPEAKER_30
transcript.pyannote[51].start 2213.67659375
transcript.pyannote[51].end 2215.06034375
transcript.pyannote[52].speaker SPEAKER_30
transcript.pyannote[52].start 2215.53284375
transcript.pyannote[52].end 2219.26221875
transcript.pyannote[53].speaker SPEAKER_30
transcript.pyannote[53].start 2219.76846875
transcript.pyannote[53].end 2225.03346875
transcript.pyannote[54].speaker SPEAKER_30
transcript.pyannote[54].start 2225.67471875
transcript.pyannote[54].end 2232.01971875
transcript.pyannote[55].speaker SPEAKER_30
transcript.pyannote[55].start 2244.30471875
transcript.pyannote[55].end 2245.68846875
transcript.pyannote[56].speaker SPEAKER_30
transcript.pyannote[56].start 2245.95846875
transcript.pyannote[56].end 2247.32534375
transcript.pyannote[57].speaker SPEAKER_30
transcript.pyannote[57].start 2247.67971875
transcript.pyannote[57].end 2248.82721875
transcript.pyannote[58].speaker SPEAKER_30
transcript.pyannote[58].start 2248.97909375
transcript.pyannote[58].end 2249.41784375
transcript.pyannote[59].speaker SPEAKER_30
transcript.pyannote[59].start 2250.05909375
transcript.pyannote[59].end 2266.02284375
transcript.pyannote[60].speaker SPEAKER_30
transcript.pyannote[60].start 2266.44471875
transcript.pyannote[60].end 2267.22096875
transcript.pyannote[61].speaker SPEAKER_30
transcript.pyannote[61].start 2267.52471875
transcript.pyannote[61].end 2279.16846875
transcript.pyannote[62].speaker SPEAKER_30
transcript.pyannote[62].start 2279.32034375
transcript.pyannote[62].end 2288.19659375
transcript.pyannote[63].speaker SPEAKER_30
transcript.pyannote[63].start 2288.61846875
transcript.pyannote[63].end 2295.48659375
transcript.pyannote[64].speaker SPEAKER_30
transcript.pyannote[64].start 2295.89159375
transcript.pyannote[64].end 2314.43721875
transcript.pyannote[65].speaker SPEAKER_30
transcript.pyannote[65].start 2314.55534375
transcript.pyannote[65].end 2315.04471875
transcript.pyannote[66].speaker SPEAKER_30
transcript.pyannote[66].start 2315.56784375
transcript.pyannote[66].end 2323.75221875
transcript.pyannote[67].speaker SPEAKER_30
transcript.pyannote[67].start 2324.02221875
transcript.pyannote[67].end 2333.08409375
transcript.pyannote[68].speaker SPEAKER_30
transcript.pyannote[68].start 2333.43846875
transcript.pyannote[68].end 2337.70784375
transcript.pyannote[69].speaker SPEAKER_30
transcript.pyannote[69].start 2338.02846875
transcript.pyannote[69].end 2348.69346875
transcript.pyannote[70].speaker SPEAKER_30
transcript.pyannote[70].start 2348.74409375
transcript.pyannote[70].end 2352.62534375
transcript.pyannote[71].speaker SPEAKER_30
transcript.pyannote[71].start 2352.84471875
transcript.pyannote[71].end 2364.03284375
transcript.pyannote[72].speaker SPEAKER_30
transcript.pyannote[72].start 2364.16784375
transcript.pyannote[72].end 2366.47971875
transcript.pyannote[73].speaker SPEAKER_30
transcript.pyannote[73].start 2366.59784375
transcript.pyannote[73].end 2370.54659375
transcript.pyannote[74].speaker SPEAKER_30
transcript.pyannote[74].start 2370.73221875
transcript.pyannote[74].end 2372.74034375
transcript.pyannote[75].speaker SPEAKER_30
transcript.pyannote[75].start 2373.53346875
transcript.pyannote[75].end 2374.20846875
transcript.pyannote[76].speaker SPEAKER_16
transcript.pyannote[76].start 2374.20846875
transcript.pyannote[76].end 2374.24221875
transcript.pyannote[77].speaker SPEAKER_16
transcript.pyannote[77].start 2375.30534375
transcript.pyannote[77].end 2377.70159375
transcript.pyannote[78].speaker SPEAKER_16
transcript.pyannote[78].start 2377.97159375
transcript.pyannote[78].end 2381.17784375
transcript.pyannote[79].speaker SPEAKER_16
transcript.pyannote[79].start 2382.93284375
transcript.pyannote[79].end 2383.99596875
transcript.pyannote[80].speaker SPEAKER_16
transcript.pyannote[80].start 2384.33346875
transcript.pyannote[80].end 2386.37534375
transcript.pyannote[81].speaker SPEAKER_16
transcript.pyannote[81].start 2386.83096875
transcript.pyannote[81].end 2387.70846875
transcript.pyannote[82].speaker SPEAKER_16
transcript.pyannote[82].start 2388.06284375
transcript.pyannote[82].end 2406.49034375
transcript.pyannote[83].speaker SPEAKER_16
transcript.pyannote[83].start 2406.72659375
transcript.pyannote[83].end 2408.49846875
transcript.pyannote[84].speaker SPEAKER_16
transcript.pyannote[84].start 2408.53221875
transcript.pyannote[84].end 2410.43909375
transcript.pyannote[85].speaker SPEAKER_16
transcript.pyannote[85].start 2411.28284375
transcript.pyannote[85].end 2412.66659375
transcript.pyannote[86].speaker SPEAKER_16
transcript.pyannote[86].start 2412.95346875
transcript.pyannote[86].end 2415.43409375
transcript.pyannote[87].speaker SPEAKER_16
transcript.pyannote[87].start 2415.85596875
transcript.pyannote[87].end 2416.76721875
transcript.pyannote[88].speaker SPEAKER_16
transcript.pyannote[88].start 2419.41659375
transcript.pyannote[88].end 2420.34471875
transcript.pyannote[89].speaker SPEAKER_16
transcript.pyannote[89].start 2421.89721875
transcript.pyannote[89].end 2424.02346875
transcript.pyannote[90].speaker SPEAKER_16
transcript.pyannote[90].start 2424.29346875
transcript.pyannote[90].end 2425.98096875
transcript.pyannote[91].speaker SPEAKER_16
transcript.pyannote[91].start 2426.21721875
transcript.pyannote[91].end 2429.15346875
transcript.pyannote[92].speaker SPEAKER_16
transcript.pyannote[92].start 2429.87909375
transcript.pyannote[92].end 2433.92909375
transcript.pyannote[93].speaker SPEAKER_26
transcript.pyannote[93].start 2433.92909375
transcript.pyannote[93].end 2434.87409375
transcript.pyannote[94].speaker SPEAKER_16
transcript.pyannote[94].start 2435.21159375
transcript.pyannote[94].end 2442.02909375
transcript.pyannote[95].speaker SPEAKER_16
transcript.pyannote[95].start 2442.29909375
transcript.pyannote[95].end 2443.12596875
transcript.pyannote[96].speaker SPEAKER_16
transcript.pyannote[96].start 2443.22721875
transcript.pyannote[96].end 2444.66159375
transcript.pyannote[97].speaker SPEAKER_30
transcript.pyannote[97].start 2445.48846875
transcript.pyannote[97].end 2446.19721875
transcript.pyannote[98].speaker SPEAKER_30
transcript.pyannote[98].start 2446.46721875
transcript.pyannote[98].end 2446.95659375
transcript.pyannote[99].speaker SPEAKER_30
transcript.pyannote[99].start 2447.59784375
transcript.pyannote[99].end 2456.50784375
transcript.pyannote[100].speaker SPEAKER_30
transcript.pyannote[100].start 2456.69346875
transcript.pyannote[100].end 2464.18596875
transcript.pyannote[101].speaker SPEAKER_30
transcript.pyannote[101].start 2464.65846875
transcript.pyannote[101].end 2465.56971875
transcript.pyannote[102].speaker SPEAKER_30
transcript.pyannote[102].start 2465.72159375
transcript.pyannote[102].end 2466.17721875
transcript.pyannote[103].speaker SPEAKER_30
transcript.pyannote[103].start 2466.36284375
transcript.pyannote[103].end 2475.91409375
transcript.pyannote[104].speaker SPEAKER_30
transcript.pyannote[104].start 2476.23471875
transcript.pyannote[104].end 2482.56284375
transcript.pyannote[105].speaker SPEAKER_30
transcript.pyannote[105].start 2483.20409375
transcript.pyannote[105].end 2498.50971875
transcript.pyannote[106].speaker SPEAKER_30
transcript.pyannote[106].start 2498.52659375
transcript.pyannote[106].end 2503.20096875
transcript.pyannote[107].speaker SPEAKER_30
transcript.pyannote[107].start 2503.33596875
transcript.pyannote[107].end 2505.41159375
transcript.pyannote[108].speaker SPEAKER_30
transcript.pyannote[108].start 2505.74909375
transcript.pyannote[108].end 2510.38971875
transcript.pyannote[109].speaker SPEAKER_30
transcript.pyannote[109].start 2510.49096875
transcript.pyannote[109].end 2511.01409375
transcript.pyannote[110].speaker SPEAKER_30
transcript.pyannote[110].start 2511.57096875
transcript.pyannote[110].end 2513.22471875
transcript.pyannote[111].speaker SPEAKER_30
transcript.pyannote[111].start 2513.46096875
transcript.pyannote[111].end 2523.41721875
transcript.pyannote[112].speaker SPEAKER_30
transcript.pyannote[112].start 2523.61971875
transcript.pyannote[112].end 2531.28096875
transcript.pyannote[113].speaker SPEAKER_30
transcript.pyannote[113].start 2531.61846875
transcript.pyannote[113].end 2544.74721875
transcript.pyannote[114].speaker SPEAKER_30
transcript.pyannote[114].start 2545.06784375
transcript.pyannote[114].end 2549.99534375
transcript.pyannote[115].speaker SPEAKER_30
transcript.pyannote[115].start 2551.05846875
transcript.pyannote[115].end 2552.03721875
transcript.pyannote[116].speaker SPEAKER_30
transcript.pyannote[116].start 2552.56034375
transcript.pyannote[116].end 2574.70034375
transcript.pyannote[117].speaker SPEAKER_30
transcript.pyannote[117].start 2574.90284375
transcript.pyannote[117].end 2579.30721875
transcript.pyannote[118].speaker SPEAKER_30
transcript.pyannote[118].start 2580.08346875
transcript.pyannote[118].end 2585.61846875
transcript.pyannote[119].speaker SPEAKER_30
transcript.pyannote[119].start 2586.47909375
transcript.pyannote[119].end 2593.48221875
transcript.pyannote[120].speaker SPEAKER_30
transcript.pyannote[120].start 2594.03909375
transcript.pyannote[120].end 2594.35971875
transcript.pyannote[121].speaker SPEAKER_30
transcript.pyannote[121].start 2595.20346875
transcript.pyannote[121].end 2596.26659375
transcript.pyannote[122].speaker SPEAKER_30
transcript.pyannote[122].start 2597.41409375
transcript.pyannote[122].end 2599.74284375
transcript.pyannote[123].speaker SPEAKER_30
transcript.pyannote[123].start 2600.23221875
transcript.pyannote[123].end 2601.68346875
transcript.pyannote[124].speaker SPEAKER_30
transcript.pyannote[124].start 2601.97034375
transcript.pyannote[124].end 2615.87534375
transcript.pyannote[125].speaker SPEAKER_30
transcript.pyannote[125].start 2616.26346875
transcript.pyannote[125].end 2619.87471875
transcript.pyannote[126].speaker SPEAKER_30
transcript.pyannote[126].start 2620.33034375
transcript.pyannote[126].end 2628.39659375
transcript.pyannote[127].speaker SPEAKER_30
transcript.pyannote[127].start 2628.58221875
transcript.pyannote[127].end 2633.12159375
transcript.pyannote[128].speaker SPEAKER_30
transcript.pyannote[128].start 2635.55159375
transcript.pyannote[128].end 2635.56846875
transcript.pyannote[129].speaker SPEAKER_16
transcript.pyannote[129].start 2635.56846875
transcript.pyannote[129].end 2638.48784375
transcript.pyannote[130].speaker SPEAKER_16
transcript.pyannote[130].start 2639.29784375
transcript.pyannote[130].end 2639.50034375
transcript.pyannote[131].speaker SPEAKER_16
transcript.pyannote[131].start 2641.96409375
transcript.pyannote[131].end 2642.14971875
transcript.pyannote[132].speaker SPEAKER_16
transcript.pyannote[132].start 2642.38596875
transcript.pyannote[132].end 2644.68096875
transcript.pyannote[133].speaker SPEAKER_16
transcript.pyannote[133].start 2645.13659375
transcript.pyannote[133].end 2663.93534375
transcript.pyannote[134].speaker SPEAKER_16
transcript.pyannote[134].start 2663.96909375
transcript.pyannote[134].end 2665.80846875
transcript.pyannote[135].speaker SPEAKER_10
transcript.pyannote[135].start 2674.38096875
transcript.pyannote[135].end 2674.88721875
transcript.pyannote[136].speaker SPEAKER_10
transcript.pyannote[136].start 2675.27534375
transcript.pyannote[136].end 2675.95034375
transcript.pyannote[137].speaker SPEAKER_10
transcript.pyannote[137].start 2676.23721875
transcript.pyannote[137].end 2676.79409375
transcript.pyannote[138].speaker SPEAKER_10
transcript.pyannote[138].start 2677.73909375
transcript.pyannote[138].end 2683.57784375
transcript.pyannote[139].speaker SPEAKER_10
transcript.pyannote[139].start 2684.10096875
transcript.pyannote[139].end 2699.45721875
transcript.pyannote[140].speaker SPEAKER_10
transcript.pyannote[140].start 2700.19971875
transcript.pyannote[140].end 2701.12784375
transcript.pyannote[141].speaker SPEAKER_10
transcript.pyannote[141].start 2701.81971875
transcript.pyannote[141].end 2704.75596875
transcript.pyannote[142].speaker SPEAKER_10
transcript.pyannote[142].start 2704.92471875
transcript.pyannote[142].end 2721.05721875
transcript.pyannote[143].speaker SPEAKER_10
transcript.pyannote[143].start 2721.32721875
transcript.pyannote[143].end 2733.32534375
transcript.pyannote[144].speaker SPEAKER_10
transcript.pyannote[144].start 2733.79784375
transcript.pyannote[144].end 2734.42221875
transcript.pyannote[145].speaker SPEAKER_10
transcript.pyannote[145].start 2734.97909375
transcript.pyannote[145].end 2739.95721875
transcript.pyannote[146].speaker SPEAKER_10
transcript.pyannote[146].start 2740.37909375
transcript.pyannote[146].end 2744.71596875
transcript.pyannote[147].speaker SPEAKER_10
transcript.pyannote[147].start 2745.37409375
transcript.pyannote[147].end 2748.51284375
transcript.pyannote[148].speaker SPEAKER_10
transcript.pyannote[148].start 2748.93471875
transcript.pyannote[148].end 2755.41471875
transcript.pyannote[149].speaker SPEAKER_10
transcript.pyannote[149].start 2755.54971875
transcript.pyannote[149].end 2758.82346875
transcript.pyannote[150].speaker SPEAKER_10
transcript.pyannote[150].start 2759.32971875
transcript.pyannote[150].end 2760.37596875
transcript.pyannote[151].speaker SPEAKER_10
transcript.pyannote[151].start 2760.62909375
transcript.pyannote[151].end 2761.64159375
transcript.pyannote[152].speaker SPEAKER_10
transcript.pyannote[152].start 2762.51909375
transcript.pyannote[152].end 2766.53534375
transcript.pyannote[153].speaker SPEAKER_10
transcript.pyannote[153].start 2767.07534375
transcript.pyannote[153].end 2769.01596875
transcript.pyannote[154].speaker SPEAKER_10
transcript.pyannote[154].start 2769.96096875
transcript.pyannote[154].end 2792.70846875
transcript.pyannote[155].speaker SPEAKER_10
transcript.pyannote[155].start 2793.16409375
transcript.pyannote[155].end 2799.35721875
transcript.pyannote[156].speaker SPEAKER_10
transcript.pyannote[156].start 2799.66096875
transcript.pyannote[156].end 2809.71846875
transcript.pyannote[157].speaker SPEAKER_10
transcript.pyannote[157].start 2811.06846875
transcript.pyannote[157].end 2817.76784375
transcript.pyannote[158].speaker SPEAKER_10
transcript.pyannote[158].start 2817.83534375
transcript.pyannote[158].end 2822.71221875
transcript.pyannote[159].speaker SPEAKER_10
transcript.pyannote[159].start 2823.06659375
transcript.pyannote[159].end 2824.75409375
transcript.pyannote[160].speaker SPEAKER_10
transcript.pyannote[160].start 2825.27721875
transcript.pyannote[160].end 2830.06971875
transcript.pyannote[161].speaker SPEAKER_10
transcript.pyannote[161].start 2830.69409375
transcript.pyannote[161].end 2832.98909375
transcript.pyannote[162].speaker SPEAKER_10
transcript.pyannote[162].start 2833.09034375
transcript.pyannote[162].end 2838.87846875
transcript.pyannote[163].speaker SPEAKER_10
transcript.pyannote[163].start 2839.51971875
transcript.pyannote[163].end 2842.64159375
transcript.pyannote[164].speaker SPEAKER_10
transcript.pyannote[164].start 2843.13096875
transcript.pyannote[164].end 2847.60284375
transcript.pyannote[165].speaker SPEAKER_10
transcript.pyannote[165].start 2848.10909375
transcript.pyannote[165].end 2850.01596875
transcript.pyannote[166].speaker SPEAKER_10
transcript.pyannote[166].start 2850.52221875
transcript.pyannote[166].end 2862.67221875
transcript.pyannote[167].speaker SPEAKER_10
transcript.pyannote[167].start 2863.54971875
transcript.pyannote[167].end 2866.60409375
transcript.pyannote[168].speaker SPEAKER_10
transcript.pyannote[168].start 2867.22846875
transcript.pyannote[168].end 2876.64471875
transcript.pyannote[169].speaker SPEAKER_10
transcript.pyannote[169].start 2877.67409375
transcript.pyannote[169].end 2878.04534375
transcript.pyannote[170].speaker SPEAKER_10
transcript.pyannote[170].start 2878.90596875
transcript.pyannote[170].end 2894.04284375
transcript.pyannote[171].speaker SPEAKER_10
transcript.pyannote[171].start 2894.26221875
transcript.pyannote[171].end 2899.61159375
transcript.pyannote[172].speaker SPEAKER_10
transcript.pyannote[172].start 2900.13471875
transcript.pyannote[172].end 2902.36221875
transcript.pyannote[173].speaker SPEAKER_10
transcript.pyannote[173].start 2902.64909375
transcript.pyannote[173].end 2921.61659375
transcript.pyannote[174].speaker SPEAKER_10
transcript.pyannote[174].start 2922.17346875
transcript.pyannote[174].end 2922.64596875
transcript.pyannote[175].speaker SPEAKER_10
transcript.pyannote[175].start 2923.28721875
transcript.pyannote[175].end 2927.35409375
transcript.pyannote[176].speaker SPEAKER_10
transcript.pyannote[176].start 2928.14721875
transcript.pyannote[176].end 2929.59846875
transcript.pyannote[177].speaker SPEAKER_10
transcript.pyannote[177].start 2929.96971875
transcript.pyannote[177].end 2940.70221875
transcript.pyannote[178].speaker SPEAKER_10
transcript.pyannote[178].start 2941.10721875
transcript.pyannote[178].end 2942.28846875
transcript.pyannote[179].speaker SPEAKER_10
transcript.pyannote[179].start 2943.26721875
transcript.pyannote[179].end 2944.83659375
transcript.pyannote[180].speaker SPEAKER_10
transcript.pyannote[180].start 2945.19096875
transcript.pyannote[180].end 2948.56596875
transcript.pyannote[181].speaker SPEAKER_10
transcript.pyannote[181].start 2948.68409375
transcript.pyannote[181].end 2950.40534375
transcript.pyannote[182].speaker SPEAKER_10
transcript.pyannote[182].start 2951.95784375
transcript.pyannote[182].end 2953.40909375
transcript.pyannote[183].speaker SPEAKER_10
transcript.pyannote[183].start 2953.56096875
transcript.pyannote[183].end 2957.52659375
transcript.pyannote[184].speaker SPEAKER_10
transcript.pyannote[184].start 2957.59409375
transcript.pyannote[184].end 2965.20471875
transcript.pyannote[185].speaker SPEAKER_10
transcript.pyannote[185].start 2966.03159375
transcript.pyannote[185].end 2967.46596875
transcript.pyannote[186].speaker SPEAKER_10
transcript.pyannote[186].start 2968.24221875
transcript.pyannote[186].end 2971.49909375
transcript.pyannote[187].speaker SPEAKER_10
transcript.pyannote[187].start 2971.95471875
transcript.pyannote[187].end 2972.61284375
transcript.pyannote[188].speaker SPEAKER_10
transcript.pyannote[188].start 2972.93346875
transcript.pyannote[188].end 2974.03034375
transcript.pyannote[189].speaker SPEAKER_10
transcript.pyannote[189].start 2974.48596875
transcript.pyannote[189].end 2977.32096875
transcript.pyannote[190].speaker SPEAKER_10
transcript.pyannote[190].start 2977.74284375
transcript.pyannote[190].end 2979.05909375
transcript.pyannote[191].speaker SPEAKER_10
transcript.pyannote[191].start 2979.51471875
transcript.pyannote[191].end 2979.85221875
transcript.pyannote[192].speaker SPEAKER_10
transcript.pyannote[192].start 2980.94909375
transcript.pyannote[192].end 2981.82659375
transcript.pyannote[193].speaker SPEAKER_10
transcript.pyannote[193].start 2982.43409375
transcript.pyannote[193].end 2999.73096875
transcript.pyannote[194].speaker SPEAKER_10
transcript.pyannote[194].start 3001.62096875
transcript.pyannote[194].end 3013.16346875
transcript.pyannote[195].speaker SPEAKER_10
transcript.pyannote[195].start 3013.19721875
transcript.pyannote[195].end 3036.24846875
transcript.pyannote[196].speaker SPEAKER_10
transcript.pyannote[196].start 3036.63659375
transcript.pyannote[196].end 3049.15784375
transcript.pyannote[197].speaker SPEAKER_10
transcript.pyannote[197].start 3049.49534375
transcript.pyannote[197].end 3066.20159375
transcript.pyannote[198].speaker SPEAKER_10
transcript.pyannote[198].start 3066.69096875
transcript.pyannote[198].end 3069.57659375
transcript.pyannote[199].speaker SPEAKER_10
transcript.pyannote[199].start 3070.18409375
transcript.pyannote[199].end 3070.53846875
transcript.pyannote[200].speaker SPEAKER_10
transcript.pyannote[200].start 3071.63534375
transcript.pyannote[200].end 3083.02596875
transcript.pyannote[201].speaker SPEAKER_10
transcript.pyannote[201].start 3083.92034375
transcript.pyannote[201].end 3088.08846875
transcript.pyannote[202].speaker SPEAKER_10
transcript.pyannote[202].start 3088.76346875
transcript.pyannote[202].end 3089.21909375
transcript.pyannote[203].speaker SPEAKER_10
transcript.pyannote[203].start 3089.55659375
transcript.pyannote[203].end 3100.27221875
transcript.pyannote[204].speaker SPEAKER_10
transcript.pyannote[204].start 3100.64346875
transcript.pyannote[204].end 3102.66846875
transcript.pyannote[205].speaker SPEAKER_10
transcript.pyannote[205].start 3103.14096875
transcript.pyannote[205].end 3112.27034375
transcript.pyannote[206].speaker SPEAKER_10
transcript.pyannote[206].start 3112.60784375
transcript.pyannote[206].end 3113.70471875
transcript.pyannote[207].speaker SPEAKER_10
transcript.pyannote[207].start 3114.93659375
transcript.pyannote[207].end 3115.47659375
transcript.pyannote[208].speaker SPEAKER_10
transcript.pyannote[208].start 3116.25284375
transcript.pyannote[208].end 3120.20159375
transcript.pyannote[209].speaker SPEAKER_10
transcript.pyannote[209].start 3120.96096875
transcript.pyannote[209].end 3125.95596875
transcript.pyannote[210].speaker SPEAKER_10
transcript.pyannote[210].start 3126.42846875
transcript.pyannote[210].end 3126.83346875
transcript.pyannote[211].speaker SPEAKER_10
transcript.pyannote[211].start 3127.35659375
transcript.pyannote[211].end 3130.41096875
transcript.pyannote[212].speaker SPEAKER_10
transcript.pyannote[212].start 3131.25471875
transcript.pyannote[212].end 3132.35159375
transcript.pyannote[213].speaker SPEAKER_10
transcript.pyannote[213].start 3132.77346875
transcript.pyannote[213].end 3143.86034375
transcript.pyannote[214].speaker SPEAKER_10
transcript.pyannote[214].start 3144.38346875
transcript.pyannote[214].end 3145.09221875
transcript.pyannote[215].speaker SPEAKER_10
transcript.pyannote[215].start 3145.69971875
transcript.pyannote[215].end 3146.79659375
transcript.pyannote[216].speaker SPEAKER_10
transcript.pyannote[216].start 3147.40409375
transcript.pyannote[216].end 3148.56846875
transcript.pyannote[217].speaker SPEAKER_10
transcript.pyannote[217].start 3149.71596875
transcript.pyannote[217].end 3155.97659375
transcript.pyannote[218].speaker SPEAKER_10
transcript.pyannote[218].start 3156.44909375
transcript.pyannote[218].end 3159.55409375
transcript.pyannote[219].speaker SPEAKER_10
transcript.pyannote[219].start 3159.95909375
transcript.pyannote[219].end 3161.79846875
transcript.pyannote[220].speaker SPEAKER_10
transcript.pyannote[220].start 3162.52409375
transcript.pyannote[220].end 3166.20284375
transcript.pyannote[221].speaker SPEAKER_10
transcript.pyannote[221].start 3166.84409375
transcript.pyannote[221].end 3168.43034375
transcript.pyannote[222].speaker SPEAKER_10
transcript.pyannote[222].start 3168.86909375
transcript.pyannote[222].end 3171.68721875
transcript.pyannote[223].speaker SPEAKER_10
transcript.pyannote[223].start 3171.82221875
transcript.pyannote[223].end 3176.32784375
transcript.pyannote[224].speaker SPEAKER_10
transcript.pyannote[224].start 3176.58096875
transcript.pyannote[224].end 3183.17909375
transcript.pyannote[225].speaker SPEAKER_10
transcript.pyannote[225].start 3183.60096875
transcript.pyannote[225].end 3190.58721875
transcript.pyannote[226].speaker SPEAKER_10
transcript.pyannote[226].start 3191.21159375
transcript.pyannote[226].end 3197.52284375
transcript.pyannote[227].speaker SPEAKER_10
transcript.pyannote[227].start 3197.86034375
transcript.pyannote[227].end 3198.72096875
transcript.pyannote[228].speaker SPEAKER_10
transcript.pyannote[228].start 3199.19346875
transcript.pyannote[228].end 3206.38221875
transcript.pyannote[229].speaker SPEAKER_10
transcript.pyannote[229].start 3206.65221875
transcript.pyannote[229].end 3212.23784375
transcript.pyannote[230].speaker SPEAKER_16
transcript.pyannote[230].start 3213.18284375
transcript.pyannote[230].end 3213.53721875
transcript.pyannote[231].speaker SPEAKER_16
transcript.pyannote[231].start 3213.94221875
transcript.pyannote[231].end 3217.41846875
transcript.pyannote[232].speaker SPEAKER_16
transcript.pyannote[232].start 3217.63784375
transcript.pyannote[232].end 3227.67846875
transcript.pyannote[233].speaker SPEAKER_06
transcript.pyannote[233].start 3231.39096875
transcript.pyannote[233].end 3234.19221875
transcript.pyannote[234].speaker SPEAKER_06
transcript.pyannote[234].start 3235.22159375
transcript.pyannote[234].end 3242.20784375
transcript.pyannote[235].speaker SPEAKER_06
transcript.pyannote[235].start 3242.47784375
transcript.pyannote[235].end 3251.52284375
transcript.pyannote[236].speaker SPEAKER_06
transcript.pyannote[236].start 3251.96159375
transcript.pyannote[236].end 3259.33596875
transcript.pyannote[237].speaker SPEAKER_06
transcript.pyannote[237].start 3259.99409375
transcript.pyannote[237].end 3270.54096875
transcript.pyannote[238].speaker SPEAKER_06
transcript.pyannote[238].start 3270.67596875
transcript.pyannote[238].end 3287.77034375
transcript.pyannote[239].speaker SPEAKER_06
transcript.pyannote[239].start 3288.17534375
transcript.pyannote[239].end 3303.22784375
transcript.pyannote[240].speaker SPEAKER_06
transcript.pyannote[240].start 3303.83534375
transcript.pyannote[240].end 3305.38784375
transcript.pyannote[241].speaker SPEAKER_06
transcript.pyannote[241].start 3305.86034375
transcript.pyannote[241].end 3312.20534375
transcript.pyannote[242].speaker SPEAKER_06
transcript.pyannote[242].start 3312.54284375
transcript.pyannote[242].end 3325.53659375
transcript.pyannote[243].speaker SPEAKER_06
transcript.pyannote[243].start 3326.11034375
transcript.pyannote[243].end 3329.14784375
transcript.pyannote[244].speaker SPEAKER_06
transcript.pyannote[244].start 3329.70471875
transcript.pyannote[244].end 3330.17721875
transcript.pyannote[245].speaker SPEAKER_06
transcript.pyannote[245].start 3330.58221875
transcript.pyannote[245].end 3351.86159375
transcript.pyannote[246].speaker SPEAKER_06
transcript.pyannote[246].start 3352.14846875
transcript.pyannote[246].end 3354.00471875
transcript.pyannote[247].speaker SPEAKER_06
transcript.pyannote[247].start 3355.48971875
transcript.pyannote[247].end 3391.65284375
transcript.pyannote[248].speaker SPEAKER_06
transcript.pyannote[248].start 3392.07471875
transcript.pyannote[248].end 3405.60846875
transcript.pyannote[249].speaker SPEAKER_06
transcript.pyannote[249].start 3406.57034375
transcript.pyannote[249].end 3412.25721875
transcript.pyannote[250].speaker SPEAKER_06
transcript.pyannote[250].start 3413.03346875
transcript.pyannote[250].end 3414.29909375
transcript.pyannote[251].speaker SPEAKER_06
transcript.pyannote[251].start 3414.56909375
transcript.pyannote[251].end 3420.13784375
transcript.pyannote[252].speaker SPEAKER_06
transcript.pyannote[252].start 3420.86346875
transcript.pyannote[252].end 3422.87159375
transcript.pyannote[253].speaker SPEAKER_06
transcript.pyannote[253].start 3422.97284375
transcript.pyannote[253].end 3427.00596875
transcript.pyannote[254].speaker SPEAKER_06
transcript.pyannote[254].start 3427.36034375
transcript.pyannote[254].end 3429.58784375
transcript.pyannote[255].speaker SPEAKER_06
transcript.pyannote[255].start 3429.82409375
transcript.pyannote[255].end 3431.66346875
transcript.pyannote[256].speaker SPEAKER_06
transcript.pyannote[256].start 3431.93346875
transcript.pyannote[256].end 3438.39659375
transcript.pyannote[257].speaker SPEAKER_06
transcript.pyannote[257].start 3438.63284375
transcript.pyannote[257].end 3441.56909375
transcript.pyannote[258].speaker SPEAKER_06
transcript.pyannote[258].start 3441.82221875
transcript.pyannote[258].end 3442.15971875
transcript.pyannote[259].speaker SPEAKER_06
transcript.pyannote[259].start 3442.53096875
transcript.pyannote[259].end 3464.78909375
transcript.pyannote[260].speaker SPEAKER_06
transcript.pyannote[260].start 3465.71721875
transcript.pyannote[260].end 3470.94846875
transcript.pyannote[261].speaker SPEAKER_06
transcript.pyannote[261].start 3471.35346875
transcript.pyannote[261].end 3481.41096875
transcript.pyannote[262].speaker SPEAKER_06
transcript.pyannote[262].start 3481.47846875
transcript.pyannote[262].end 3498.57284375
transcript.pyannote[263].speaker SPEAKER_06
transcript.pyannote[263].start 3498.72471875
transcript.pyannote[263].end 3501.52596875
transcript.pyannote[264].speaker SPEAKER_06
transcript.pyannote[264].start 3502.23471875
transcript.pyannote[264].end 3520.69596875
transcript.pyannote[265].speaker SPEAKER_06
transcript.pyannote[265].start 3520.96596875
transcript.pyannote[265].end 3527.56409375
transcript.pyannote[266].speaker SPEAKER_06
transcript.pyannote[266].start 3528.34034375
transcript.pyannote[266].end 3529.74096875
transcript.pyannote[267].speaker SPEAKER_16
transcript.pyannote[267].start 3532.00221875
transcript.pyannote[267].end 3532.22159375
transcript.pyannote[268].speaker SPEAKER_16
transcript.pyannote[268].start 3533.20034375
transcript.pyannote[268].end 3535.20846875
transcript.pyannote[269].speaker SPEAKER_16
transcript.pyannote[269].start 3535.79909375
transcript.pyannote[269].end 3539.84909375
transcript.pyannote[270].speaker SPEAKER_16
transcript.pyannote[270].start 3540.18659375
transcript.pyannote[270].end 3552.30284375
transcript.pyannote[271].speaker SPEAKER_16
transcript.pyannote[271].start 3552.57284375
transcript.pyannote[271].end 3557.90534375
transcript.pyannote[272].speaker SPEAKER_04
transcript.pyannote[272].start 3567.20346875
transcript.pyannote[272].end 3567.54096875
transcript.pyannote[273].speaker SPEAKER_04
transcript.pyannote[273].start 3568.13159375
transcript.pyannote[273].end 3571.03409375
transcript.pyannote[274].speaker SPEAKER_16
transcript.pyannote[274].start 3571.97909375
transcript.pyannote[274].end 3573.71721875
transcript.pyannote[275].speaker SPEAKER_04
transcript.pyannote[275].start 3576.38346875
transcript.pyannote[275].end 3577.39596875
transcript.pyannote[276].speaker SPEAKER_04
transcript.pyannote[276].start 3577.83471875
transcript.pyannote[276].end 3590.25471875
transcript.pyannote[277].speaker SPEAKER_04
transcript.pyannote[277].start 3590.64284375
transcript.pyannote[277].end 3593.17409375
transcript.pyannote[278].speaker SPEAKER_04
transcript.pyannote[278].start 3593.51159375
transcript.pyannote[278].end 3602.89409375
transcript.pyannote[279].speaker SPEAKER_04
transcript.pyannote[279].start 3603.09659375
transcript.pyannote[279].end 3610.63971875
transcript.pyannote[280].speaker SPEAKER_04
transcript.pyannote[280].start 3611.06159375
transcript.pyannote[280].end 3612.66471875
transcript.pyannote[281].speaker SPEAKER_04
transcript.pyannote[281].start 3613.54221875
transcript.pyannote[281].end 3617.44034375
transcript.pyannote[282].speaker SPEAKER_04
transcript.pyannote[282].start 3617.67659375
transcript.pyannote[282].end 3632.57721875
transcript.pyannote[283].speaker SPEAKER_04
transcript.pyannote[283].start 3632.69534375
transcript.pyannote[283].end 3634.46721875
transcript.pyannote[284].speaker SPEAKER_04
transcript.pyannote[284].start 3634.55159375
transcript.pyannote[284].end 3640.67721875
transcript.pyannote[285].speaker SPEAKER_04
transcript.pyannote[285].start 3641.65596875
transcript.pyannote[285].end 3647.59596875
transcript.pyannote[286].speaker SPEAKER_04
transcript.pyannote[286].start 3647.96721875
transcript.pyannote[286].end 3648.82784375
transcript.pyannote[287].speaker SPEAKER_04
transcript.pyannote[287].start 3649.36784375
transcript.pyannote[287].end 3659.91471875
transcript.pyannote[288].speaker SPEAKER_04
transcript.pyannote[288].start 3660.35346875
transcript.pyannote[288].end 3664.74096875
transcript.pyannote[289].speaker SPEAKER_04
transcript.pyannote[289].start 3665.12909375
transcript.pyannote[289].end 3665.93909375
transcript.pyannote[290].speaker SPEAKER_04
transcript.pyannote[290].start 3666.22596875
transcript.pyannote[290].end 3669.51659375
transcript.pyannote[291].speaker SPEAKER_04
transcript.pyannote[291].start 3669.75284375
transcript.pyannote[291].end 3672.11534375
transcript.pyannote[292].speaker SPEAKER_06
transcript.pyannote[292].start 3672.48659375
transcript.pyannote[292].end 3691.60596875
transcript.pyannote[293].speaker SPEAKER_04
transcript.pyannote[293].start 3691.60596875
transcript.pyannote[293].end 3694.62659375
transcript.pyannote[294].speaker SPEAKER_06
transcript.pyannote[294].start 3693.44534375
transcript.pyannote[294].end 3714.82596875
transcript.pyannote[295].speaker SPEAKER_04
transcript.pyannote[295].start 3713.15534375
transcript.pyannote[295].end 3721.96409375
transcript.pyannote[296].speaker SPEAKER_06
transcript.pyannote[296].start 3716.46284375
transcript.pyannote[296].end 3718.74096875
transcript.pyannote[297].speaker SPEAKER_06
transcript.pyannote[297].start 3720.52971875
transcript.pyannote[297].end 3721.42409375
transcript.pyannote[298].speaker SPEAKER_06
transcript.pyannote[298].start 3721.60971875
transcript.pyannote[298].end 3736.30784375
transcript.pyannote[299].speaker SPEAKER_04
transcript.pyannote[299].start 3728.44409375
transcript.pyannote[299].end 3728.88284375
transcript.pyannote[300].speaker SPEAKER_04
transcript.pyannote[300].start 3735.59909375
transcript.pyannote[300].end 3741.11721875
transcript.pyannote[301].speaker SPEAKER_06
transcript.pyannote[301].start 3737.67471875
transcript.pyannote[301].end 3738.83909375
transcript.pyannote[302].speaker SPEAKER_06
transcript.pyannote[302].start 3740.35784375
transcript.pyannote[302].end 3742.33221875
transcript.pyannote[303].speaker SPEAKER_04
transcript.pyannote[303].start 3742.33221875
transcript.pyannote[303].end 3747.39471875
transcript.pyannote[304].speaker SPEAKER_06
transcript.pyannote[304].start 3742.48409375
transcript.pyannote[304].end 3743.96909375
transcript.pyannote[305].speaker SPEAKER_06
transcript.pyannote[305].start 3744.05346875
transcript.pyannote[305].end 3744.45846875
transcript.pyannote[306].speaker SPEAKER_04
transcript.pyannote[306].start 3747.76596875
transcript.pyannote[306].end 3762.80159375
transcript.pyannote[307].speaker SPEAKER_31
transcript.pyannote[307].start 3760.47284375
transcript.pyannote[307].end 3760.67534375
transcript.pyannote[308].speaker SPEAKER_04
transcript.pyannote[308].start 3763.45971875
transcript.pyannote[308].end 3764.55659375
transcript.pyannote[309].speaker SPEAKER_04
transcript.pyannote[309].start 3765.33284375
transcript.pyannote[309].end 3771.94784375
transcript.pyannote[310].speaker SPEAKER_06
transcript.pyannote[310].start 3772.06596875
transcript.pyannote[310].end 3800.39909375
transcript.pyannote[311].speaker SPEAKER_03
transcript.pyannote[311].start 3782.14034375
transcript.pyannote[311].end 3782.35971875
transcript.pyannote[312].speaker SPEAKER_27
transcript.pyannote[312].start 3800.39909375
transcript.pyannote[312].end 3801.07409375
transcript.pyannote[313].speaker SPEAKER_06
transcript.pyannote[313].start 3800.63534375
transcript.pyannote[313].end 3825.98159375
transcript.pyannote[314].speaker SPEAKER_04
transcript.pyannote[314].start 3823.73721875
transcript.pyannote[314].end 3841.62471875
transcript.pyannote[315].speaker SPEAKER_06
transcript.pyannote[315].start 3828.74909375
transcript.pyannote[315].end 3829.32284375
transcript.pyannote[316].speaker SPEAKER_04
transcript.pyannote[316].start 3842.24909375
transcript.pyannote[316].end 3853.82534375
transcript.pyannote[317].speaker SPEAKER_04
transcript.pyannote[317].start 3854.16284375
transcript.pyannote[317].end 3856.47471875
transcript.pyannote[318].speaker SPEAKER_04
transcript.pyannote[318].start 3857.94284375
transcript.pyannote[318].end 3858.97221875
transcript.pyannote[319].speaker SPEAKER_06
transcript.pyannote[319].start 3858.97221875
transcript.pyannote[319].end 3859.63034375
transcript.pyannote[320].speaker SPEAKER_06
transcript.pyannote[320].start 3860.23784375
transcript.pyannote[320].end 3866.76846875
transcript.pyannote[321].speaker SPEAKER_06
transcript.pyannote[321].start 3867.07221875
transcript.pyannote[321].end 3868.35471875
transcript.pyannote[322].speaker SPEAKER_04
transcript.pyannote[322].start 3867.89909375
transcript.pyannote[322].end 3869.97471875
transcript.pyannote[323].speaker SPEAKER_06
transcript.pyannote[323].start 3869.97471875
transcript.pyannote[323].end 3870.04221875
transcript.pyannote[324].speaker SPEAKER_04
transcript.pyannote[324].start 3870.04221875
transcript.pyannote[324].end 3877.73721875
transcript.pyannote[325].speaker SPEAKER_06
transcript.pyannote[325].start 3870.27846875
transcript.pyannote[325].end 3870.85221875
transcript.pyannote[326].speaker SPEAKER_06
transcript.pyannote[326].start 3873.07971875
transcript.pyannote[326].end 3873.11346875
transcript.pyannote[327].speaker SPEAKER_06
transcript.pyannote[327].start 3873.13034375
transcript.pyannote[327].end 3873.21471875
transcript.pyannote[328].speaker SPEAKER_04
transcript.pyannote[328].start 3878.29409375
transcript.pyannote[328].end 3881.66909375
transcript.pyannote[329].speaker SPEAKER_04
transcript.pyannote[329].start 3882.05721875
transcript.pyannote[329].end 3886.96784375
transcript.pyannote[330].speaker SPEAKER_06
transcript.pyannote[330].start 3882.81659375
transcript.pyannote[330].end 3884.41971875
transcript.pyannote[331].speaker SPEAKER_06
transcript.pyannote[331].start 3886.96784375
transcript.pyannote[331].end 3893.81909375
transcript.pyannote[332].speaker SPEAKER_06
transcript.pyannote[332].start 3894.03846875
transcript.pyannote[332].end 3895.70909375
transcript.pyannote[333].speaker SPEAKER_04
transcript.pyannote[333].start 3895.70909375
transcript.pyannote[333].end 3895.72596875
transcript.pyannote[334].speaker SPEAKER_04
transcript.pyannote[334].start 3896.63721875
transcript.pyannote[334].end 3903.08346875
transcript.pyannote[335].speaker SPEAKER_04
transcript.pyannote[335].start 3903.21846875
transcript.pyannote[335].end 3907.33596875
transcript.pyannote[336].speaker SPEAKER_04
transcript.pyannote[336].start 3907.77471875
transcript.pyannote[336].end 3911.89221875
transcript.pyannote[337].speaker SPEAKER_04
transcript.pyannote[337].start 3912.16221875
transcript.pyannote[337].end 3926.01659375
transcript.pyannote[338].speaker SPEAKER_12
transcript.pyannote[338].start 3919.16534375
transcript.pyannote[338].end 3919.33409375
transcript.pyannote[339].speaker SPEAKER_00
transcript.pyannote[339].start 3921.81471875
transcript.pyannote[339].end 3923.18159375
transcript.pyannote[340].speaker SPEAKER_16
transcript.pyannote[340].start 3929.20596875
transcript.pyannote[340].end 3930.60659375
transcript.pyannote[341].speaker SPEAKER_16
transcript.pyannote[341].start 3931.07909375
transcript.pyannote[341].end 3932.51346875
transcript.pyannote[342].speaker SPEAKER_16
transcript.pyannote[342].start 3933.01971875
transcript.pyannote[342].end 3933.25596875
transcript.pyannote[343].speaker SPEAKER_16
transcript.pyannote[343].start 3934.62284375
transcript.pyannote[343].end 3936.04034375
transcript.pyannote[344].speaker SPEAKER_04
transcript.pyannote[344].start 3945.89534375
transcript.pyannote[344].end 3948.47721875
transcript.pyannote[345].speaker SPEAKER_20
transcript.pyannote[345].start 3975.62909375
transcript.pyannote[345].end 3977.45159375
transcript.pyannote[346].speaker SPEAKER_04
transcript.pyannote[346].start 3978.34596875
transcript.pyannote[346].end 3979.13909375
transcript.pyannote[347].speaker SPEAKER_20
transcript.pyannote[347].start 3988.52159375
transcript.pyannote[347].end 3989.02784375
transcript.pyannote[348].speaker SPEAKER_27
transcript.pyannote[348].start 3989.26409375
transcript.pyannote[348].end 3989.50034375
transcript.pyannote[349].speaker SPEAKER_20
transcript.pyannote[349].start 3989.50034375
transcript.pyannote[349].end 3990.27659375
transcript.pyannote[350].speaker SPEAKER_20
transcript.pyannote[350].start 3990.73221875
transcript.pyannote[350].end 3999.59159375
transcript.pyannote[351].speaker SPEAKER_20
transcript.pyannote[351].start 3999.92909375
transcript.pyannote[351].end 4003.11846875
transcript.pyannote[352].speaker SPEAKER_20
transcript.pyannote[352].start 4003.69221875
transcript.pyannote[352].end 4004.24909375
transcript.pyannote[353].speaker SPEAKER_20
transcript.pyannote[353].start 4005.27846875
transcript.pyannote[353].end 4006.15596875
transcript.pyannote[354].speaker SPEAKER_20
transcript.pyannote[354].start 4006.83096875
transcript.pyannote[354].end 4007.69159375
transcript.pyannote[355].speaker SPEAKER_20
transcript.pyannote[355].start 4008.68721875
transcript.pyannote[355].end 4010.25659375
transcript.pyannote[356].speaker SPEAKER_20
transcript.pyannote[356].start 4010.91471875
transcript.pyannote[356].end 4014.93096875
transcript.pyannote[357].speaker SPEAKER_20
transcript.pyannote[357].start 4015.45409375
transcript.pyannote[357].end 4017.24284375
transcript.pyannote[358].speaker SPEAKER_20
transcript.pyannote[358].start 4017.96846875
transcript.pyannote[358].end 4019.55471875
transcript.pyannote[359].speaker SPEAKER_20
transcript.pyannote[359].start 4021.61346875
transcript.pyannote[359].end 4027.24971875
transcript.pyannote[360].speaker SPEAKER_20
transcript.pyannote[360].start 4028.09346875
transcript.pyannote[360].end 4028.22846875
transcript.pyannote[361].speaker SPEAKER_20
transcript.pyannote[361].start 4028.41409375
transcript.pyannote[361].end 4029.62909375
transcript.pyannote[362].speaker SPEAKER_20
transcript.pyannote[362].start 4030.96221875
transcript.pyannote[362].end 4031.78909375
transcript.pyannote[363].speaker SPEAKER_20
transcript.pyannote[363].start 4032.70034375
transcript.pyannote[363].end 4034.03346875
transcript.pyannote[364].speaker SPEAKER_20
transcript.pyannote[364].start 4034.89409375
transcript.pyannote[364].end 4035.55221875
transcript.pyannote[365].speaker SPEAKER_20
transcript.pyannote[365].start 4036.39596875
transcript.pyannote[365].end 4038.72471875
transcript.pyannote[366].speaker SPEAKER_20
transcript.pyannote[366].start 4039.34909375
transcript.pyannote[366].end 4040.29409375
transcript.pyannote[367].speaker SPEAKER_20
transcript.pyannote[367].start 4041.05346875
transcript.pyannote[367].end 4044.22596875
transcript.pyannote[368].speaker SPEAKER_20
transcript.pyannote[368].start 4045.03596875
transcript.pyannote[368].end 4046.67284375
transcript.pyannote[369].speaker SPEAKER_20
transcript.pyannote[369].start 4047.19596875
transcript.pyannote[369].end 4050.53721875
transcript.pyannote[370].speaker SPEAKER_20
transcript.pyannote[370].start 4051.60034375
transcript.pyannote[370].end 4053.42284375
transcript.pyannote[371].speaker SPEAKER_20
transcript.pyannote[371].start 4054.53659375
transcript.pyannote[371].end 4055.19471875
transcript.pyannote[372].speaker SPEAKER_20
transcript.pyannote[372].start 4055.98784375
transcript.pyannote[372].end 4056.66284375
transcript.pyannote[373].speaker SPEAKER_20
transcript.pyannote[373].start 4057.16909375
transcript.pyannote[373].end 4058.63721875
transcript.pyannote[374].speaker SPEAKER_20
transcript.pyannote[374].start 4058.97471875
transcript.pyannote[374].end 4062.21471875
transcript.pyannote[375].speaker SPEAKER_20
transcript.pyannote[375].start 4062.68721875
transcript.pyannote[375].end 4063.90221875
transcript.pyannote[376].speaker SPEAKER_20
transcript.pyannote[376].start 4064.37471875
transcript.pyannote[376].end 4066.41659375
transcript.pyannote[377].speaker SPEAKER_20
transcript.pyannote[377].start 4066.68659375
transcript.pyannote[377].end 4068.76221875
transcript.pyannote[378].speaker SPEAKER_20
transcript.pyannote[378].start 4069.60596875
transcript.pyannote[378].end 4071.20909375
transcript.pyannote[379].speaker SPEAKER_20
transcript.pyannote[379].start 4072.49159375
transcript.pyannote[379].end 4073.18346875
transcript.pyannote[380].speaker SPEAKER_20
transcript.pyannote[380].start 4073.62221875
transcript.pyannote[380].end 4074.26346875
transcript.pyannote[381].speaker SPEAKER_20
transcript.pyannote[381].start 4074.51659375
transcript.pyannote[381].end 4075.03971875
transcript.pyannote[382].speaker SPEAKER_20
transcript.pyannote[382].start 4075.30971875
transcript.pyannote[382].end 4076.72721875
transcript.pyannote[383].speaker SPEAKER_20
transcript.pyannote[383].start 4076.96346875
transcript.pyannote[383].end 4077.87471875
transcript.pyannote[384].speaker SPEAKER_20
transcript.pyannote[384].start 4078.12784375
transcript.pyannote[384].end 4079.95034375
transcript.pyannote[385].speaker SPEAKER_20
transcript.pyannote[385].start 4080.50721875
transcript.pyannote[385].end 4082.19471875
transcript.pyannote[386].speaker SPEAKER_20
transcript.pyannote[386].start 4083.32534375
transcript.pyannote[386].end 4087.57784375
transcript.pyannote[387].speaker SPEAKER_20
transcript.pyannote[387].start 4088.15159375
transcript.pyannote[387].end 4088.64096875
transcript.pyannote[388].speaker SPEAKER_20
transcript.pyannote[388].start 4089.55221875
transcript.pyannote[388].end 4090.95284375
transcript.pyannote[389].speaker SPEAKER_20
transcript.pyannote[389].start 4092.42096875
transcript.pyannote[389].end 4094.85096875
transcript.pyannote[390].speaker SPEAKER_20
transcript.pyannote[390].start 4095.03659375
transcript.pyannote[390].end 4097.97284375
transcript.pyannote[391].speaker SPEAKER_20
transcript.pyannote[391].start 4098.20909375
transcript.pyannote[391].end 4103.54159375
transcript.pyannote[392].speaker SPEAKER_20
transcript.pyannote[392].start 4103.82846875
transcript.pyannote[392].end 4104.97596875
transcript.pyannote[393].speaker SPEAKER_20
transcript.pyannote[393].start 4105.61721875
transcript.pyannote[393].end 4106.76471875
transcript.pyannote[394].speaker SPEAKER_20
transcript.pyannote[394].start 4107.81096875
transcript.pyannote[394].end 4109.92034375
transcript.pyannote[395].speaker SPEAKER_20
transcript.pyannote[395].start 4110.08909375
transcript.pyannote[395].end 4110.83159375
transcript.pyannote[396].speaker SPEAKER_20
transcript.pyannote[396].start 4111.52346875
transcript.pyannote[396].end 4113.56534375
transcript.pyannote[397].speaker SPEAKER_20
transcript.pyannote[397].start 4114.03784375
transcript.pyannote[397].end 4115.69159375
transcript.pyannote[398].speaker SPEAKER_20
transcript.pyannote[398].start 4116.18096875
transcript.pyannote[398].end 4116.67034375
transcript.pyannote[399].speaker SPEAKER_20
transcript.pyannote[399].start 4117.04159375
transcript.pyannote[399].end 4119.04971875
transcript.pyannote[400].speaker SPEAKER_20
transcript.pyannote[400].start 4119.89346875
transcript.pyannote[400].end 4123.35284375
transcript.pyannote[401].speaker SPEAKER_20
transcript.pyannote[401].start 4123.62284375
transcript.pyannote[401].end 4126.17096875
transcript.pyannote[402].speaker SPEAKER_20
transcript.pyannote[402].start 4127.35221875
transcript.pyannote[402].end 4129.71471875
transcript.pyannote[403].speaker SPEAKER_20
transcript.pyannote[403].start 4130.10284375
transcript.pyannote[403].end 4131.09846875
transcript.pyannote[404].speaker SPEAKER_20
transcript.pyannote[404].start 4131.50346875
transcript.pyannote[404].end 4133.07284375
transcript.pyannote[405].speaker SPEAKER_20
transcript.pyannote[405].start 4133.86596875
transcript.pyannote[405].end 4135.73909375
transcript.pyannote[406].speaker SPEAKER_20
transcript.pyannote[406].start 4137.37596875
transcript.pyannote[406].end 4138.06784375
transcript.pyannote[407].speaker SPEAKER_20
transcript.pyannote[407].start 4139.45159375
transcript.pyannote[407].end 4140.63284375
transcript.pyannote[408].speaker SPEAKER_20
transcript.pyannote[408].start 4141.34159375
transcript.pyannote[408].end 4145.62784375
transcript.pyannote[409].speaker SPEAKER_20
transcript.pyannote[409].start 4146.37034375
transcript.pyannote[409].end 4149.22221875
transcript.pyannote[410].speaker SPEAKER_20
transcript.pyannote[410].start 4150.38659375
transcript.pyannote[410].end 4151.19659375
transcript.pyannote[411].speaker SPEAKER_20
transcript.pyannote[411].start 4152.79971875
transcript.pyannote[411].end 4154.20034375
transcript.pyannote[412].speaker SPEAKER_20
transcript.pyannote[412].start 4155.39846875
transcript.pyannote[412].end 4155.85409375
transcript.pyannote[413].speaker SPEAKER_20
transcript.pyannote[413].start 4156.44471875
transcript.pyannote[413].end 4157.72721875
transcript.pyannote[414].speaker SPEAKER_20
transcript.pyannote[414].start 4159.00971875
transcript.pyannote[414].end 4160.79846875
transcript.pyannote[415].speaker SPEAKER_20
transcript.pyannote[415].start 4161.96284375
transcript.pyannote[415].end 4163.56596875
transcript.pyannote[416].speaker SPEAKER_20
transcript.pyannote[416].start 4164.88221875
transcript.pyannote[416].end 4165.87784375
transcript.pyannote[417].speaker SPEAKER_20
transcript.pyannote[417].start 4166.73846875
transcript.pyannote[417].end 4169.11784375
transcript.pyannote[418].speaker SPEAKER_20
transcript.pyannote[418].start 4169.80971875
transcript.pyannote[418].end 4170.77159375
transcript.pyannote[419].speaker SPEAKER_20
transcript.pyannote[419].start 4171.31159375
transcript.pyannote[419].end 4172.27346875
transcript.pyannote[420].speaker SPEAKER_20
transcript.pyannote[420].start 4173.11721875
transcript.pyannote[420].end 4173.99471875
transcript.pyannote[421].speaker SPEAKER_20
transcript.pyannote[421].start 4175.07471875
transcript.pyannote[421].end 4176.57659375
transcript.pyannote[422].speaker SPEAKER_20
transcript.pyannote[422].start 4177.23471875
transcript.pyannote[422].end 4178.36534375
transcript.pyannote[423].speaker SPEAKER_20
transcript.pyannote[423].start 4180.20471875
transcript.pyannote[423].end 4181.28471875
transcript.pyannote[424].speaker SPEAKER_20
transcript.pyannote[424].start 4181.60534375
transcript.pyannote[424].end 4182.11159375
transcript.pyannote[425].speaker SPEAKER_20
transcript.pyannote[425].start 4183.14096875
transcript.pyannote[425].end 4184.52471875
transcript.pyannote[426].speaker SPEAKER_20
transcript.pyannote[426].start 4185.03096875
transcript.pyannote[426].end 4185.90846875
transcript.pyannote[427].speaker SPEAKER_20
transcript.pyannote[427].start 4186.36409375
transcript.pyannote[427].end 4188.47346875
transcript.pyannote[428].speaker SPEAKER_20
transcript.pyannote[428].start 4188.79409375
transcript.pyannote[428].end 4189.55346875
transcript.pyannote[429].speaker SPEAKER_20
transcript.pyannote[429].start 4190.95409375
transcript.pyannote[429].end 4191.32534375
transcript.pyannote[430].speaker SPEAKER_20
transcript.pyannote[430].start 4191.86534375
transcript.pyannote[430].end 4193.60346875
transcript.pyannote[431].speaker SPEAKER_20
transcript.pyannote[431].start 4195.02096875
transcript.pyannote[431].end 4195.64534375
transcript.pyannote[432].speaker SPEAKER_20
transcript.pyannote[432].start 4196.99534375
transcript.pyannote[432].end 4198.42971875
transcript.pyannote[433].speaker SPEAKER_20
transcript.pyannote[433].start 4198.71659375
transcript.pyannote[433].end 4201.38284375
transcript.pyannote[434].speaker SPEAKER_20
transcript.pyannote[434].start 4202.53034375
transcript.pyannote[434].end 4204.13346875
transcript.pyannote[435].speaker SPEAKER_20
transcript.pyannote[435].start 4204.85909375
transcript.pyannote[435].end 4206.25971875
transcript.pyannote[436].speaker SPEAKER_20
transcript.pyannote[436].start 4208.16659375
transcript.pyannote[436].end 4208.72346875
transcript.pyannote[437].speaker SPEAKER_20
transcript.pyannote[437].start 4209.12846875
transcript.pyannote[437].end 4210.68096875
transcript.pyannote[438].speaker SPEAKER_20
transcript.pyannote[438].start 4211.03534375
transcript.pyannote[438].end 4214.07284375
transcript.pyannote[439].speaker SPEAKER_20
transcript.pyannote[439].start 4214.47784375
transcript.pyannote[439].end 4216.50284375
transcript.pyannote[440].speaker SPEAKER_20
transcript.pyannote[440].start 4217.54909375
transcript.pyannote[440].end 4218.56159375
transcript.pyannote[441].speaker SPEAKER_20
transcript.pyannote[441].start 4220.31659375
transcript.pyannote[441].end 4221.41346875
transcript.pyannote[442].speaker SPEAKER_20
transcript.pyannote[442].start 4221.95346875
transcript.pyannote[442].end 4222.88159375
transcript.pyannote[443].speaker SPEAKER_20
transcript.pyannote[443].start 4224.38346875
transcript.pyannote[443].end 4225.21034375
transcript.pyannote[444].speaker SPEAKER_20
transcript.pyannote[444].start 4226.07096875
transcript.pyannote[444].end 4227.13409375
transcript.pyannote[445].speaker SPEAKER_20
transcript.pyannote[445].start 4227.67409375
transcript.pyannote[445].end 4228.95659375
transcript.pyannote[446].speaker SPEAKER_20
transcript.pyannote[446].start 4229.83409375
transcript.pyannote[446].end 4231.72409375
transcript.pyannote[447].speaker SPEAKER_20
transcript.pyannote[447].start 4231.89284375
transcript.pyannote[447].end 4232.66909375
transcript.pyannote[448].speaker SPEAKER_20
transcript.pyannote[448].start 4233.58034375
transcript.pyannote[448].end 4234.79534375
transcript.pyannote[449].speaker SPEAKER_20
transcript.pyannote[449].start 4236.01034375
transcript.pyannote[449].end 4237.30971875
transcript.pyannote[450].speaker SPEAKER_20
transcript.pyannote[450].start 4237.98471875
transcript.pyannote[450].end 4239.53721875
transcript.pyannote[451].speaker SPEAKER_20
transcript.pyannote[451].start 4239.79034375
transcript.pyannote[451].end 4241.17409375
transcript.pyannote[452].speaker SPEAKER_20
transcript.pyannote[452].start 4242.03471875
transcript.pyannote[452].end 4242.79409375
transcript.pyannote[453].speaker SPEAKER_20
transcript.pyannote[453].start 4243.45221875
transcript.pyannote[453].end 4244.83596875
transcript.pyannote[454].speaker SPEAKER_20
transcript.pyannote[454].start 4246.65846875
transcript.pyannote[454].end 4247.68784375
transcript.pyannote[455].speaker SPEAKER_20
transcript.pyannote[455].start 4247.77221875
transcript.pyannote[455].end 4248.85221875
transcript.pyannote[456].speaker SPEAKER_20
transcript.pyannote[456].start 4249.81409375
transcript.pyannote[456].end 4252.26096875
transcript.pyannote[457].speaker SPEAKER_20
transcript.pyannote[457].start 4252.93596875
transcript.pyannote[457].end 4254.97784375
transcript.pyannote[458].speaker SPEAKER_20
transcript.pyannote[458].start 4256.02409375
transcript.pyannote[458].end 4256.71596875
transcript.pyannote[459].speaker SPEAKER_20
transcript.pyannote[459].start 4259.44971875
transcript.pyannote[459].end 4261.15409375
transcript.pyannote[460].speaker SPEAKER_20
transcript.pyannote[460].start 4261.37346875
transcript.pyannote[460].end 4261.93034375
transcript.pyannote[461].speaker SPEAKER_20
transcript.pyannote[461].start 4262.79096875
transcript.pyannote[461].end 4264.61346875
transcript.pyannote[462].speaker SPEAKER_20
transcript.pyannote[462].start 4265.22096875
transcript.pyannote[462].end 4266.33471875
transcript.pyannote[463].speaker SPEAKER_20
transcript.pyannote[463].start 4267.43159375
transcript.pyannote[463].end 4268.22471875
transcript.pyannote[464].speaker SPEAKER_20
transcript.pyannote[464].start 4268.66346875
transcript.pyannote[464].end 4270.04721875
transcript.pyannote[465].speaker SPEAKER_20
transcript.pyannote[465].start 4270.36784375
transcript.pyannote[465].end 4272.20721875
transcript.pyannote[466].speaker SPEAKER_20
transcript.pyannote[466].start 4273.67534375
transcript.pyannote[466].end 4276.27409375
transcript.pyannote[467].speaker SPEAKER_20
transcript.pyannote[467].start 4277.01659375
transcript.pyannote[467].end 4278.16409375
transcript.pyannote[468].speaker SPEAKER_20
transcript.pyannote[468].start 4278.56909375
transcript.pyannote[468].end 4279.48034375
transcript.pyannote[469].speaker SPEAKER_20
transcript.pyannote[469].start 4281.55596875
transcript.pyannote[469].end 4282.12971875
transcript.pyannote[470].speaker SPEAKER_20
transcript.pyannote[470].start 4284.32346875
transcript.pyannote[470].end 4285.38659375
transcript.pyannote[471].speaker SPEAKER_20
transcript.pyannote[471].start 4286.51721875
transcript.pyannote[471].end 4288.47471875
transcript.pyannote[472].speaker SPEAKER_20
transcript.pyannote[472].start 4288.86284375
transcript.pyannote[472].end 4289.85846875
transcript.pyannote[473].speaker SPEAKER_20
transcript.pyannote[473].start 4289.99346875
transcript.pyannote[473].end 4290.58409375
transcript.pyannote[474].speaker SPEAKER_20
transcript.pyannote[474].start 4292.60909375
transcript.pyannote[474].end 4293.77346875
transcript.pyannote[475].speaker SPEAKER_20
transcript.pyannote[475].start 4294.93784375
transcript.pyannote[475].end 4296.50721875
transcript.pyannote[476].speaker SPEAKER_20
transcript.pyannote[476].start 4296.84471875
transcript.pyannote[476].end 4297.80659375
transcript.pyannote[477].speaker SPEAKER_20
transcript.pyannote[477].start 4299.57846875
transcript.pyannote[477].end 4300.97909375
transcript.pyannote[478].speaker SPEAKER_20
transcript.pyannote[478].start 4301.55284375
transcript.pyannote[478].end 4302.36284375
transcript.pyannote[479].speaker SPEAKER_20
transcript.pyannote[479].start 4303.37534375
transcript.pyannote[479].end 4304.87721875
transcript.pyannote[480].speaker SPEAKER_20
transcript.pyannote[480].start 4305.04596875
transcript.pyannote[480].end 4306.85159375
transcript.pyannote[481].speaker SPEAKER_20
transcript.pyannote[481].start 4307.17221875
transcript.pyannote[481].end 4308.18471875
transcript.pyannote[482].speaker SPEAKER_20
transcript.pyannote[482].start 4308.65721875
transcript.pyannote[482].end 4310.00721875
transcript.pyannote[483].speaker SPEAKER_20
transcript.pyannote[483].start 4311.03659375
transcript.pyannote[483].end 4312.97721875
transcript.pyannote[484].speaker SPEAKER_20
transcript.pyannote[484].start 4313.34846875
transcript.pyannote[484].end 4315.71096875
transcript.pyannote[485].speaker SPEAKER_20
transcript.pyannote[485].start 4316.50409375
transcript.pyannote[485].end 4317.95534375
transcript.pyannote[486].speaker SPEAKER_20
transcript.pyannote[486].start 4319.79471875
transcript.pyannote[486].end 4321.04346875
transcript.pyannote[487].speaker SPEAKER_20
transcript.pyannote[487].start 4321.58346875
transcript.pyannote[487].end 4322.20784375
transcript.pyannote[488].speaker SPEAKER_20
transcript.pyannote[488].start 4322.98409375
transcript.pyannote[488].end 4323.96284375
transcript.pyannote[489].speaker SPEAKER_20
transcript.pyannote[489].start 4325.41409375
transcript.pyannote[489].end 4327.05096875
transcript.pyannote[490].speaker SPEAKER_20
transcript.pyannote[490].start 4327.77659375
transcript.pyannote[490].end 4329.22784375
transcript.pyannote[491].speaker SPEAKER_20
transcript.pyannote[491].start 4329.63284375
transcript.pyannote[491].end 4330.54409375
transcript.pyannote[492].speaker SPEAKER_20
transcript.pyannote[492].start 4331.18534375
transcript.pyannote[492].end 4332.02909375
transcript.pyannote[493].speaker SPEAKER_20
transcript.pyannote[493].start 4333.02471875
transcript.pyannote[493].end 4333.24409375
transcript.pyannote[494].speaker SPEAKER_20
transcript.pyannote[494].start 4334.00346875
transcript.pyannote[494].end 4337.00721875
transcript.pyannote[495].speaker SPEAKER_20
transcript.pyannote[495].start 4338.94784375
transcript.pyannote[495].end 4341.69846875
transcript.pyannote[496].speaker SPEAKER_20
transcript.pyannote[496].start 4343.13284375
transcript.pyannote[496].end 4343.89221875
transcript.pyannote[497].speaker SPEAKER_11
transcript.pyannote[497].start 4348.78596875
transcript.pyannote[497].end 4377.97971875
transcript.pyannote[498].speaker SPEAKER_20
transcript.pyannote[498].start 4376.71409375
transcript.pyannote[498].end 4378.85721875
transcript.pyannote[499].speaker SPEAKER_20
transcript.pyannote[499].start 4379.71784375
transcript.pyannote[499].end 4380.29159375
transcript.pyannote[500].speaker SPEAKER_20
transcript.pyannote[500].start 4380.46034375
transcript.pyannote[500].end 4380.56159375
transcript.pyannote[501].speaker SPEAKER_11
transcript.pyannote[501].start 4380.56159375
transcript.pyannote[501].end 4380.61221875
transcript.pyannote[502].speaker SPEAKER_20
transcript.pyannote[502].start 4380.61221875
transcript.pyannote[502].end 4389.03284375
transcript.pyannote[503].speaker SPEAKER_11
transcript.pyannote[503].start 4380.62909375
transcript.pyannote[503].end 4384.98284375
transcript.pyannote[504].speaker SPEAKER_10
transcript.pyannote[504].start 4384.98284375
transcript.pyannote[504].end 4385.05034375
transcript.pyannote[505].speaker SPEAKER_20
transcript.pyannote[505].start 4390.04534375
transcript.pyannote[505].end 4392.94784375
transcript.pyannote[506].speaker SPEAKER_20
transcript.pyannote[506].start 4393.18409375
transcript.pyannote[506].end 4394.80409375
transcript.pyannote[507].speaker SPEAKER_20
transcript.pyannote[507].start 4396.54221875
transcript.pyannote[507].end 4396.77846875
transcript.pyannote[508].speaker SPEAKER_11
transcript.pyannote[508].start 4397.43659375
transcript.pyannote[508].end 4400.18721875
transcript.pyannote[509].speaker SPEAKER_20
transcript.pyannote[509].start 4397.72346875
transcript.pyannote[509].end 4399.54596875
transcript.pyannote[510].speaker SPEAKER_20
transcript.pyannote[510].start 4400.18721875
transcript.pyannote[510].end 4402.22909375
transcript.pyannote[511].speaker SPEAKER_20
transcript.pyannote[511].start 4402.93784375
transcript.pyannote[511].end 4404.25409375
transcript.pyannote[512].speaker SPEAKER_20
transcript.pyannote[512].start 4405.13159375
transcript.pyannote[512].end 4407.93284375
transcript.pyannote[513].speaker SPEAKER_20
transcript.pyannote[513].start 4408.23659375
transcript.pyannote[513].end 4411.69596875
transcript.pyannote[514].speaker SPEAKER_20
transcript.pyannote[514].start 4412.50596875
transcript.pyannote[514].end 4416.77534375
transcript.pyannote[515].speaker SPEAKER_20
transcript.pyannote[515].start 4416.92721875
transcript.pyannote[515].end 4418.54721875
transcript.pyannote[516].speaker SPEAKER_11
transcript.pyannote[516].start 4416.97784375
transcript.pyannote[516].end 4417.83846875
transcript.pyannote[517].speaker SPEAKER_11
transcript.pyannote[517].start 4418.54721875
transcript.pyannote[517].end 4423.57596875
transcript.pyannote[518].speaker SPEAKER_20
transcript.pyannote[518].start 4421.53409375
transcript.pyannote[518].end 4422.71534375
transcript.pyannote[519].speaker SPEAKER_20
transcript.pyannote[519].start 4424.85846875
transcript.pyannote[519].end 4425.60096875
transcript.pyannote[520].speaker SPEAKER_20
transcript.pyannote[520].start 4425.98909375
transcript.pyannote[520].end 4427.50784375
transcript.pyannote[521].speaker SPEAKER_20
transcript.pyannote[521].start 4428.28409375
transcript.pyannote[521].end 4429.21221875
transcript.pyannote[522].speaker SPEAKER_20
transcript.pyannote[522].start 4430.46096875
transcript.pyannote[522].end 4430.74784375
transcript.pyannote[523].speaker SPEAKER_20
transcript.pyannote[523].start 4431.13596875
transcript.pyannote[523].end 4434.76409375
transcript.pyannote[524].speaker SPEAKER_20
transcript.pyannote[524].start 4435.16909375
transcript.pyannote[524].end 4435.84409375
transcript.pyannote[525].speaker SPEAKER_20
transcript.pyannote[525].start 4436.01284375
transcript.pyannote[525].end 4437.04221875
transcript.pyannote[526].speaker SPEAKER_20
transcript.pyannote[526].start 4438.61159375
transcript.pyannote[526].end 4439.40471875
transcript.pyannote[527].speaker SPEAKER_20
transcript.pyannote[527].start 4440.02909375
transcript.pyannote[527].end 4440.87284375
transcript.pyannote[528].speaker SPEAKER_20
transcript.pyannote[528].start 4441.32846875
transcript.pyannote[528].end 4443.35346875
transcript.pyannote[529].speaker SPEAKER_20
transcript.pyannote[529].start 4445.59784375
transcript.pyannote[529].end 4446.47534375
transcript.pyannote[530].speaker SPEAKER_20
transcript.pyannote[530].start 4446.86346875
transcript.pyannote[530].end 4447.87596875
transcript.pyannote[531].speaker SPEAKER_20
transcript.pyannote[531].start 4448.38221875
transcript.pyannote[531].end 4449.83346875
transcript.pyannote[532].speaker SPEAKER_20
transcript.pyannote[532].start 4450.12034375
transcript.pyannote[532].end 4453.52909375
transcript.pyannote[533].speaker SPEAKER_20
transcript.pyannote[533].start 4454.30534375
transcript.pyannote[533].end 4457.32596875
transcript.pyannote[534].speaker SPEAKER_20
transcript.pyannote[534].start 4458.70971875
transcript.pyannote[534].end 4460.34659375
transcript.pyannote[535].speaker SPEAKER_20
transcript.pyannote[535].start 4460.61659375
transcript.pyannote[535].end 4463.38409375
transcript.pyannote[536].speaker SPEAKER_20
transcript.pyannote[536].start 4464.04221875
transcript.pyannote[536].end 4465.20659375
transcript.pyannote[537].speaker SPEAKER_20
transcript.pyannote[537].start 4466.45534375
transcript.pyannote[537].end 4467.33284375
transcript.pyannote[538].speaker SPEAKER_20
transcript.pyannote[538].start 4467.90659375
transcript.pyannote[538].end 4469.08784375
transcript.pyannote[539].speaker SPEAKER_20
transcript.pyannote[539].start 4469.44221875
transcript.pyannote[539].end 4470.26909375
transcript.pyannote[540].speaker SPEAKER_11
transcript.pyannote[540].start 4470.87659375
transcript.pyannote[540].end 4472.96909375
transcript.pyannote[541].speaker SPEAKER_20
transcript.pyannote[541].start 4473.37409375
transcript.pyannote[541].end 4475.65221875
transcript.pyannote[542].speaker SPEAKER_20
transcript.pyannote[542].start 4486.38471875
transcript.pyannote[542].end 4487.05971875
transcript.pyannote[543].speaker SPEAKER_20
transcript.pyannote[543].start 4487.85284375
transcript.pyannote[543].end 4488.86534375
transcript.pyannote[544].speaker SPEAKER_20
transcript.pyannote[544].start 4490.92409375
transcript.pyannote[544].end 4491.80159375
transcript.pyannote[545].speaker SPEAKER_20
transcript.pyannote[545].start 4493.32034375
transcript.pyannote[545].end 4494.29909375
transcript.pyannote[546].speaker SPEAKER_20
transcript.pyannote[546].start 4494.77159375
transcript.pyannote[546].end 4495.24409375
transcript.pyannote[547].speaker SPEAKER_20
transcript.pyannote[547].start 4495.73346875
transcript.pyannote[547].end 4497.25221875
transcript.pyannote[548].speaker SPEAKER_20
transcript.pyannote[548].start 4497.77534375
transcript.pyannote[548].end 4498.29846875
transcript.pyannote[549].speaker SPEAKER_20
transcript.pyannote[549].start 4501.55534375
transcript.pyannote[549].end 4504.37346875
transcript.pyannote[550].speaker SPEAKER_20
transcript.pyannote[550].start 4504.87971875
transcript.pyannote[550].end 4505.55471875
transcript.pyannote[551].speaker SPEAKER_20
transcript.pyannote[551].start 4506.85409375
transcript.pyannote[551].end 4508.38971875
transcript.pyannote[552].speaker SPEAKER_20
transcript.pyannote[552].start 4511.10659375
transcript.pyannote[552].end 4512.27096875
transcript.pyannote[553].speaker SPEAKER_20
transcript.pyannote[553].start 4514.36346875
transcript.pyannote[553].end 4514.71784375
transcript.pyannote[554].speaker SPEAKER_20
transcript.pyannote[554].start 4515.46034375
transcript.pyannote[554].end 4517.14784375
transcript.pyannote[555].speaker SPEAKER_20
transcript.pyannote[555].start 4521.14721875
transcript.pyannote[555].end 4522.15971875
transcript.pyannote[556].speaker SPEAKER_20
transcript.pyannote[556].start 4523.52659375
transcript.pyannote[556].end 4523.96534375
transcript.pyannote[557].speaker SPEAKER_20
transcript.pyannote[557].start 4525.39971875
transcript.pyannote[557].end 4526.73284375
transcript.pyannote[558].speaker SPEAKER_20
transcript.pyannote[558].start 4527.23909375
transcript.pyannote[558].end 4528.18409375
transcript.pyannote[559].speaker SPEAKER_20
transcript.pyannote[559].start 4528.35284375
transcript.pyannote[559].end 4529.70284375
transcript.pyannote[560].speaker SPEAKER_20
transcript.pyannote[560].start 4530.44534375
transcript.pyannote[560].end 4531.66034375
transcript.pyannote[561].speaker SPEAKER_20
transcript.pyannote[561].start 4533.49971875
transcript.pyannote[561].end 4535.47409375
transcript.pyannote[562].speaker SPEAKER_20
transcript.pyannote[562].start 4535.71034375
transcript.pyannote[562].end 4537.11096875
transcript.pyannote[563].speaker SPEAKER_20
transcript.pyannote[563].start 4537.78596875
transcript.pyannote[563].end 4538.44409375
transcript.pyannote[564].speaker SPEAKER_20
transcript.pyannote[564].start 4538.98409375
transcript.pyannote[564].end 4540.75596875
transcript.pyannote[565].speaker SPEAKER_20
transcript.pyannote[565].start 4542.37596875
transcript.pyannote[565].end 4542.86534375
transcript.pyannote[566].speaker SPEAKER_20
transcript.pyannote[566].start 4543.59096875
transcript.pyannote[566].end 4547.38784375
transcript.pyannote[567].speaker SPEAKER_20
transcript.pyannote[567].start 4547.70846875
transcript.pyannote[567].end 4550.67846875
transcript.pyannote[568].speaker SPEAKER_04
transcript.pyannote[568].start 4551.77534375
transcript.pyannote[568].end 4552.77096875
transcript.pyannote[569].speaker SPEAKER_04
transcript.pyannote[569].start 4552.87221875
transcript.pyannote[569].end 4554.22221875
transcript.pyannote[570].speaker SPEAKER_04
transcript.pyannote[570].start 4555.11659375
transcript.pyannote[570].end 4557.22596875
transcript.pyannote[571].speaker SPEAKER_04
transcript.pyannote[571].start 4566.08534375
transcript.pyannote[571].end 4567.77284375
transcript.pyannote[572].speaker SPEAKER_00
transcript.pyannote[572].start 4567.51971875
transcript.pyannote[572].end 4567.57034375
transcript.pyannote[573].speaker SPEAKER_04
transcript.pyannote[573].start 4568.22846875
transcript.pyannote[573].end 4569.84846875
transcript.pyannote[574].speaker SPEAKER_06
transcript.pyannote[574].start 4572.71721875
transcript.pyannote[574].end 4573.29096875
transcript.pyannote[575].speaker SPEAKER_00
transcript.pyannote[575].start 4573.29096875
transcript.pyannote[575].end 4580.61471875
transcript.pyannote[576].speaker SPEAKER_00
transcript.pyannote[576].start 4580.93534375
transcript.pyannote[576].end 4599.61596875
transcript.pyannote[577].speaker SPEAKER_00
transcript.pyannote[577].start 4600.24034375
transcript.pyannote[577].end 4672.14471875
transcript.pyannote[578].speaker SPEAKER_00
transcript.pyannote[578].start 4672.34721875
transcript.pyannote[578].end 4678.97909375
transcript.pyannote[579].speaker SPEAKER_00
transcript.pyannote[579].start 4679.40096875
transcript.pyannote[579].end 4743.08721875
transcript.pyannote[580].speaker SPEAKER_00
transcript.pyannote[580].start 4743.15471875
transcript.pyannote[580].end 4776.83721875
transcript.pyannote[581].speaker SPEAKER_00
transcript.pyannote[581].start 4777.15784375
transcript.pyannote[581].end 4778.50784375
transcript.pyannote[582].speaker SPEAKER_00
transcript.pyannote[582].start 4778.79471875
transcript.pyannote[582].end 4800.49596875
transcript.pyannote[583].speaker SPEAKER_00
transcript.pyannote[583].start 4800.59721875
transcript.pyannote[583].end 5131.80284375
transcript.pyannote[584].speaker SPEAKER_01
transcript.pyannote[584].start 4842.81846875
transcript.pyannote[584].end 4843.12221875
transcript.pyannote[585].speaker SPEAKER_01
transcript.pyannote[585].start 5086.88159375
transcript.pyannote[585].end 5087.06721875
transcript.pyannote[586].speaker SPEAKER_00
transcript.pyannote[586].start 5131.92096875
transcript.pyannote[586].end 5141.97846875
transcript.pyannote[587].speaker SPEAKER_06
transcript.pyannote[587].start 5141.97846875
transcript.pyannote[587].end 5143.29471875
transcript.pyannote[588].speaker SPEAKER_00
transcript.pyannote[588].start 5143.29471875
transcript.pyannote[588].end 5143.31159375
transcript.pyannote[589].speaker SPEAKER_00
transcript.pyannote[589].start 5143.44659375
transcript.pyannote[589].end 5143.46346875
transcript.pyannote[590].speaker SPEAKER_06
transcript.pyannote[590].start 5143.46346875
transcript.pyannote[590].end 5153.60534375
transcript.pyannote[591].speaker SPEAKER_06
transcript.pyannote[591].start 5153.68971875
transcript.pyannote[591].end 5161.87409375
transcript.pyannote[592].speaker SPEAKER_00
transcript.pyannote[592].start 5159.37659375
transcript.pyannote[592].end 5159.49471875
transcript.pyannote[593].speaker SPEAKER_00
transcript.pyannote[593].start 5161.18221875
transcript.pyannote[593].end 5171.76284375
transcript.pyannote[594].speaker SPEAKER_04
transcript.pyannote[594].start 5170.96971875
transcript.pyannote[594].end 5171.40846875
transcript.pyannote[595].speaker SPEAKER_04
transcript.pyannote[595].start 5171.76284375
transcript.pyannote[595].end 5171.98221875
transcript.pyannote[596].speaker SPEAKER_00
transcript.pyannote[596].start 5171.98221875
transcript.pyannote[596].end 5172.03284375
transcript.pyannote[597].speaker SPEAKER_04
transcript.pyannote[597].start 5172.16784375
transcript.pyannote[597].end 5172.31971875
transcript.pyannote[598].speaker SPEAKER_04
transcript.pyannote[598].start 5172.40409375
transcript.pyannote[598].end 5175.94784375
transcript.pyannote[599].speaker SPEAKER_00
transcript.pyannote[599].start 5172.65721875
transcript.pyannote[599].end 5172.91034375
transcript.pyannote[600].speaker SPEAKER_02
transcript.pyannote[600].start 5185.22909375
transcript.pyannote[600].end 5189.85284375
transcript.pyannote[601].speaker SPEAKER_04
transcript.pyannote[601].start 5190.07221875
transcript.pyannote[601].end 5192.09721875
transcript.pyannote[602].speaker SPEAKER_02
transcript.pyannote[602].start 5194.57784375
transcript.pyannote[602].end 5198.62784375
transcript.pyannote[603].speaker SPEAKER_02
transcript.pyannote[603].start 5198.76284375
transcript.pyannote[603].end 5204.85471875
transcript.pyannote[604].speaker SPEAKER_02
transcript.pyannote[604].start 5205.49596875
transcript.pyannote[604].end 5209.30971875
transcript.pyannote[605].speaker SPEAKER_02
transcript.pyannote[605].start 5209.52909375
transcript.pyannote[605].end 5211.36846875
transcript.pyannote[606].speaker SPEAKER_02
transcript.pyannote[606].start 5213.78159375
transcript.pyannote[606].end 5214.77721875
transcript.pyannote[607].speaker SPEAKER_02
transcript.pyannote[607].start 5215.55346875
transcript.pyannote[607].end 5218.45596875
transcript.pyannote[608].speaker SPEAKER_02
transcript.pyannote[608].start 5218.47284375
transcript.pyannote[608].end 5222.05034375
transcript.pyannote[609].speaker SPEAKER_02
transcript.pyannote[609].start 5222.08409375
transcript.pyannote[609].end 5228.56409375
transcript.pyannote[610].speaker SPEAKER_02
transcript.pyannote[610].start 5228.63159375
transcript.pyannote[610].end 5233.99784375
transcript.pyannote[611].speaker SPEAKER_06
transcript.pyannote[611].start 5234.31846875
transcript.pyannote[611].end 5251.29471875
transcript.pyannote[612].speaker SPEAKER_02
transcript.pyannote[612].start 5251.12596875
transcript.pyannote[612].end 5256.20534375
transcript.pyannote[613].speaker SPEAKER_06
transcript.pyannote[613].start 5256.42471875
transcript.pyannote[613].end 5260.32284375
transcript.pyannote[614].speaker SPEAKER_02
transcript.pyannote[614].start 5260.32284375
transcript.pyannote[614].end 5278.53096875
transcript.pyannote[615].speaker SPEAKER_06
transcript.pyannote[615].start 5279.93159375
transcript.pyannote[615].end 5287.96409375
transcript.pyannote[616].speaker SPEAKER_02
transcript.pyannote[616].start 5286.37784375
transcript.pyannote[616].end 5286.73221875
transcript.pyannote[617].speaker SPEAKER_02
transcript.pyannote[617].start 5287.96409375
transcript.pyannote[617].end 5288.33534375
transcript.pyannote[618].speaker SPEAKER_06
transcript.pyannote[618].start 5288.33534375
transcript.pyannote[618].end 5288.52096875
transcript.pyannote[619].speaker SPEAKER_06
transcript.pyannote[619].start 5288.68971875
transcript.pyannote[619].end 5288.70659375
transcript.pyannote[620].speaker SPEAKER_02
transcript.pyannote[620].start 5288.70659375
transcript.pyannote[620].end 5292.48659375
transcript.pyannote[621].speaker SPEAKER_02
transcript.pyannote[621].start 5292.57096875
transcript.pyannote[621].end 5297.07659375
transcript.pyannote[622].speaker SPEAKER_06
transcript.pyannote[622].start 5295.50721875
transcript.pyannote[622].end 5298.86534375
transcript.pyannote[623].speaker SPEAKER_02
transcript.pyannote[623].start 5299.55721875
transcript.pyannote[623].end 5303.65784375
transcript.pyannote[624].speaker SPEAKER_06
transcript.pyannote[624].start 5300.21534375
transcript.pyannote[624].end 5302.00409375
transcript.pyannote[625].speaker SPEAKER_02
transcript.pyannote[625].start 5305.41284375
transcript.pyannote[625].end 5309.96909375
transcript.pyannote[626].speaker SPEAKER_02
transcript.pyannote[626].start 5310.71159375
transcript.pyannote[626].end 5311.52159375
transcript.pyannote[627].speaker SPEAKER_02
transcript.pyannote[627].start 5313.61409375
transcript.pyannote[627].end 5315.85846875
transcript.pyannote[628].speaker SPEAKER_02
transcript.pyannote[628].start 5316.07784375
transcript.pyannote[628].end 5328.14346875
transcript.pyannote[629].speaker SPEAKER_02
transcript.pyannote[629].start 5328.75096875
transcript.pyannote[629].end 5336.61471875
transcript.pyannote[630].speaker SPEAKER_02
transcript.pyannote[630].start 5336.95221875
transcript.pyannote[630].end 5337.77909375
transcript.pyannote[631].speaker SPEAKER_02
transcript.pyannote[631].start 5338.35284375
transcript.pyannote[631].end 5342.58846875
transcript.pyannote[632].speaker SPEAKER_02
transcript.pyannote[632].start 5343.26346875
transcript.pyannote[632].end 5372.65971875
transcript.pyannote[633].speaker SPEAKER_27
transcript.pyannote[633].start 5365.92659375
transcript.pyannote[633].end 5366.07846875
transcript.pyannote[634].speaker SPEAKER_27
transcript.pyannote[634].start 5369.79096875
transcript.pyannote[634].end 5370.53346875
transcript.pyannote[635].speaker SPEAKER_02
transcript.pyannote[635].start 5373.53721875
transcript.pyannote[635].end 5378.68409375
transcript.pyannote[636].speaker SPEAKER_02
transcript.pyannote[636].start 5378.73471875
transcript.pyannote[636].end 5378.76846875
transcript.pyannote[637].speaker SPEAKER_02
transcript.pyannote[637].start 5378.80221875
transcript.pyannote[637].end 5380.08471875
transcript.pyannote[638].speaker SPEAKER_02
transcript.pyannote[638].start 5380.55721875
transcript.pyannote[638].end 5383.08846875
transcript.pyannote[639].speaker SPEAKER_06
transcript.pyannote[639].start 5382.05909375
transcript.pyannote[639].end 5383.02096875
transcript.pyannote[640].speaker SPEAKER_06
transcript.pyannote[640].start 5383.08846875
transcript.pyannote[640].end 5383.13909375
transcript.pyannote[641].speaker SPEAKER_02
transcript.pyannote[641].start 5383.13909375
transcript.pyannote[641].end 5383.15596875
transcript.pyannote[642].speaker SPEAKER_06
transcript.pyannote[642].start 5383.15596875
transcript.pyannote[642].end 5402.02221875
transcript.pyannote[643].speaker SPEAKER_02
transcript.pyannote[643].start 5391.64409375
transcript.pyannote[643].end 5392.21784375
transcript.pyannote[644].speaker SPEAKER_02
transcript.pyannote[644].start 5393.21346875
transcript.pyannote[644].end 5393.48346875
transcript.pyannote[645].speaker SPEAKER_06
transcript.pyannote[645].start 5402.42721875
transcript.pyannote[645].end 5404.28346875
transcript.pyannote[646].speaker SPEAKER_06
transcript.pyannote[646].start 5404.73909375
transcript.pyannote[646].end 5412.55221875
transcript.pyannote[647].speaker SPEAKER_02
transcript.pyannote[647].start 5411.72534375
transcript.pyannote[647].end 5435.63721875
transcript.pyannote[648].speaker SPEAKER_06
transcript.pyannote[648].start 5412.87284375
transcript.pyannote[648].end 5415.04971875
transcript.pyannote[649].speaker SPEAKER_02
transcript.pyannote[649].start 5436.02534375
transcript.pyannote[649].end 5452.59659375
transcript.pyannote[650].speaker SPEAKER_06
transcript.pyannote[650].start 5453.67659375
transcript.pyannote[650].end 5479.15784375
transcript.pyannote[651].speaker SPEAKER_02
transcript.pyannote[651].start 5476.54221875
transcript.pyannote[651].end 5518.79721875
transcript.pyannote[652].speaker SPEAKER_06
transcript.pyannote[652].start 5479.49534375
transcript.pyannote[652].end 5480.96346875
transcript.pyannote[653].speaker SPEAKER_06
transcript.pyannote[653].start 5518.54409375
transcript.pyannote[653].end 5529.52971875
transcript.pyannote[654].speaker SPEAKER_02
transcript.pyannote[654].start 5525.20971875
transcript.pyannote[654].end 5532.58409375
transcript.pyannote[655].speaker SPEAKER_06
transcript.pyannote[655].start 5532.39846875
transcript.pyannote[655].end 5538.55784375
transcript.pyannote[656].speaker SPEAKER_02
transcript.pyannote[656].start 5537.47784375
transcript.pyannote[656].end 5551.55159375
transcript.pyannote[657].speaker SPEAKER_06
transcript.pyannote[657].start 5545.24034375
transcript.pyannote[657].end 5545.96596875
transcript.pyannote[658].speaker SPEAKER_06
transcript.pyannote[658].start 5550.55596875
transcript.pyannote[658].end 5554.08284375
transcript.pyannote[659].speaker SPEAKER_02
transcript.pyannote[659].start 5553.42471875
transcript.pyannote[659].end 5554.15034375
transcript.pyannote[660].speaker SPEAKER_06
transcript.pyannote[660].start 5554.15034375
transcript.pyannote[660].end 5555.14596875
transcript.pyannote[661].speaker SPEAKER_02
transcript.pyannote[661].start 5555.14596875
transcript.pyannote[661].end 5580.32346875
transcript.pyannote[662].speaker SPEAKER_06
transcript.pyannote[662].start 5555.19659375
transcript.pyannote[662].end 5555.43284375
transcript.pyannote[663].speaker SPEAKER_06
transcript.pyannote[663].start 5555.44971875
transcript.pyannote[663].end 5555.46659375
transcript.pyannote[664].speaker SPEAKER_02
transcript.pyannote[664].start 5580.35721875
transcript.pyannote[664].end 5585.60534375
transcript.pyannote[665].speaker SPEAKER_02
transcript.pyannote[665].start 5585.97659375
transcript.pyannote[665].end 5601.99096875
transcript.pyannote[666].speaker SPEAKER_02
transcript.pyannote[666].start 5602.32846875
transcript.pyannote[666].end 5607.13784375
transcript.pyannote[667].speaker SPEAKER_02
transcript.pyannote[667].start 5607.69471875
transcript.pyannote[667].end 5609.68596875
transcript.pyannote[668].speaker SPEAKER_10
transcript.pyannote[668].start 5610.27659375
transcript.pyannote[668].end 5612.43659375
transcript.pyannote[669].speaker SPEAKER_02
transcript.pyannote[669].start 5612.70659375
transcript.pyannote[669].end 5613.02721875
transcript.pyannote[670].speaker SPEAKER_10
transcript.pyannote[670].start 5614.29284375
transcript.pyannote[670].end 5614.37721875
transcript.pyannote[671].speaker SPEAKER_11
transcript.pyannote[671].start 5614.37721875
transcript.pyannote[671].end 5614.41096875
transcript.pyannote[672].speaker SPEAKER_10
transcript.pyannote[672].start 5614.41096875
transcript.pyannote[672].end 5614.44471875
transcript.pyannote[673].speaker SPEAKER_11
transcript.pyannote[673].start 5614.44471875
transcript.pyannote[673].end 5614.49534375
transcript.pyannote[674].speaker SPEAKER_10
transcript.pyannote[674].start 5614.49534375
transcript.pyannote[674].end 5614.63034375
transcript.pyannote[675].speaker SPEAKER_11
transcript.pyannote[675].start 5614.63034375
transcript.pyannote[675].end 5616.43596875
transcript.pyannote[676].speaker SPEAKER_02
transcript.pyannote[676].start 5616.38534375
transcript.pyannote[676].end 5619.52409375
transcript.pyannote[677].speaker SPEAKER_11
transcript.pyannote[677].start 5619.69284375
transcript.pyannote[677].end 5622.02159375
transcript.pyannote[678].speaker SPEAKER_02
transcript.pyannote[678].start 5621.85284375
transcript.pyannote[678].end 5633.61471875
transcript.pyannote[679].speaker SPEAKER_11
transcript.pyannote[679].start 5633.61471875
transcript.pyannote[679].end 5634.98159375
transcript.pyannote[680].speaker SPEAKER_02
transcript.pyannote[680].start 5634.28971875
transcript.pyannote[680].end 5648.71784375
transcript.pyannote[681].speaker SPEAKER_11
transcript.pyannote[681].start 5648.80221875
transcript.pyannote[681].end 5663.21346875
transcript.pyannote[682].speaker SPEAKER_02
transcript.pyannote[682].start 5663.21346875
transcript.pyannote[682].end 5673.40596875
transcript.pyannote[683].speaker SPEAKER_11
transcript.pyannote[683].start 5663.24721875
transcript.pyannote[683].end 5663.34846875
transcript.pyannote[684].speaker SPEAKER_02
transcript.pyannote[684].start 5673.55784375
transcript.pyannote[684].end 5688.57659375
transcript.pyannote[685].speaker SPEAKER_02
transcript.pyannote[685].start 5688.91409375
transcript.pyannote[685].end 5689.50471875
transcript.pyannote[686].speaker SPEAKER_02
transcript.pyannote[686].start 5690.26409375
transcript.pyannote[686].end 5698.09409375
transcript.pyannote[687].speaker SPEAKER_04
transcript.pyannote[687].start 5698.09409375
transcript.pyannote[687].end 5698.19534375
transcript.pyannote[688].speaker SPEAKER_02
transcript.pyannote[688].start 5698.19534375
transcript.pyannote[688].end 5698.22909375
transcript.pyannote[689].speaker SPEAKER_04
transcript.pyannote[689].start 5698.22909375
transcript.pyannote[689].end 5698.63409375
transcript.pyannote[690].speaker SPEAKER_02
transcript.pyannote[690].start 5698.93784375
transcript.pyannote[690].end 5701.04721875
transcript.pyannote[691].speaker SPEAKER_02
transcript.pyannote[691].start 5701.28346875
transcript.pyannote[691].end 5713.63596875
transcript.pyannote[692].speaker SPEAKER_02
transcript.pyannote[692].start 5714.14221875
transcript.pyannote[692].end 5721.16221875
transcript.pyannote[693].speaker SPEAKER_02
transcript.pyannote[693].start 5721.55034375
transcript.pyannote[693].end 5734.25721875
transcript.pyannote[694].speaker SPEAKER_02
transcript.pyannote[694].start 5734.64534375
transcript.pyannote[694].end 5735.59034375
transcript.pyannote[695].speaker SPEAKER_02
transcript.pyannote[695].start 5736.18096875
transcript.pyannote[695].end 5740.18034375
transcript.pyannote[696].speaker SPEAKER_02
transcript.pyannote[696].start 5741.31096875
transcript.pyannote[696].end 5746.64346875
transcript.pyannote[697].speaker SPEAKER_04
transcript.pyannote[697].start 5745.66471875
transcript.pyannote[697].end 5746.55909375
transcript.pyannote[698].speaker SPEAKER_04
transcript.pyannote[698].start 5746.64346875
transcript.pyannote[698].end 5746.96409375
transcript.pyannote[699].speaker SPEAKER_02
transcript.pyannote[699].start 5746.96409375
transcript.pyannote[699].end 5758.57409375
transcript.pyannote[700].speaker SPEAKER_04
transcript.pyannote[700].start 5759.60346875
transcript.pyannote[700].end 5760.07596875
transcript.pyannote[701].speaker SPEAKER_02
transcript.pyannote[701].start 5760.07596875
transcript.pyannote[701].end 5763.70409375
transcript.pyannote[702].speaker SPEAKER_33
transcript.pyannote[702].start 5761.17284375
transcript.pyannote[702].end 5761.18971875
transcript.pyannote[703].speaker SPEAKER_04
transcript.pyannote[703].start 5761.18971875
transcript.pyannote[703].end 5763.75471875
transcript.pyannote[704].speaker SPEAKER_02
transcript.pyannote[704].start 5763.75471875
transcript.pyannote[704].end 5763.77159375
transcript.pyannote[705].speaker SPEAKER_04
transcript.pyannote[705].start 5764.07534375
transcript.pyannote[705].end 5770.80846875
transcript.pyannote[706].speaker SPEAKER_04
transcript.pyannote[706].start 5772.24284375
transcript.pyannote[706].end 5777.05221875
transcript.pyannote[707].speaker SPEAKER_04
transcript.pyannote[707].start 5777.74409375
transcript.pyannote[707].end 5779.90409375
transcript.pyannote[708].speaker SPEAKER_04
transcript.pyannote[708].start 5781.13596875
transcript.pyannote[708].end 5782.51971875
transcript.pyannote[709].speaker SPEAKER_04
transcript.pyannote[709].start 5786.04659375
transcript.pyannote[709].end 5791.00784375
transcript.pyannote[710].speaker SPEAKER_06
transcript.pyannote[710].start 5788.96596875
transcript.pyannote[710].end 5789.01659375
transcript.pyannote[711].speaker SPEAKER_33
transcript.pyannote[711].start 5807.51159375
transcript.pyannote[711].end 5808.22034375
transcript.pyannote[712].speaker SPEAKER_33
transcript.pyannote[712].start 5808.54096875
transcript.pyannote[712].end 5809.58721875
transcript.pyannote[713].speaker SPEAKER_33
transcript.pyannote[713].start 5809.95846875
transcript.pyannote[713].end 5812.15221875
transcript.pyannote[714].speaker SPEAKER_04
transcript.pyannote[714].start 5812.28721875
transcript.pyannote[714].end 5813.35034375
transcript.pyannote[715].speaker SPEAKER_04
transcript.pyannote[715].start 5816.33721875
transcript.pyannote[715].end 5816.87721875
transcript.pyannote[716].speaker SPEAKER_33
transcript.pyannote[716].start 5817.09659375
transcript.pyannote[716].end 5818.14284375
transcript.pyannote[717].speaker SPEAKER_33
transcript.pyannote[717].start 5819.72909375
transcript.pyannote[717].end 5821.18034375
transcript.pyannote[718].speaker SPEAKER_33
transcript.pyannote[718].start 5821.39971875
transcript.pyannote[718].end 5821.99034375
transcript.pyannote[719].speaker SPEAKER_33
transcript.pyannote[719].start 5822.54721875
transcript.pyannote[719].end 5824.58909375
transcript.pyannote[720].speaker SPEAKER_33
transcript.pyannote[720].start 5825.83784375
transcript.pyannote[720].end 5826.78284375
transcript.pyannote[721].speaker SPEAKER_33
transcript.pyannote[721].start 5827.10346875
transcript.pyannote[721].end 5828.08221875
transcript.pyannote[722].speaker SPEAKER_33
transcript.pyannote[722].start 5828.33534375
transcript.pyannote[722].end 5828.87534375
transcript.pyannote[723].speaker SPEAKER_33
transcript.pyannote[723].start 5829.68534375
transcript.pyannote[723].end 5831.28846875
transcript.pyannote[724].speaker SPEAKER_33
transcript.pyannote[724].start 5832.11534375
transcript.pyannote[724].end 5833.06034375
transcript.pyannote[725].speaker SPEAKER_33
transcript.pyannote[725].start 5833.78596875
transcript.pyannote[725].end 5835.35534375
transcript.pyannote[726].speaker SPEAKER_33
transcript.pyannote[726].start 5835.81096875
transcript.pyannote[726].end 5836.50284375
transcript.pyannote[727].speaker SPEAKER_33
transcript.pyannote[727].start 5836.99221875
transcript.pyannote[727].end 5838.81471875
transcript.pyannote[728].speaker SPEAKER_33
transcript.pyannote[728].start 5841.31221875
transcript.pyannote[728].end 5841.90284375
transcript.pyannote[729].speaker SPEAKER_33
transcript.pyannote[729].start 5842.51034375
transcript.pyannote[729].end 5843.64096875
transcript.pyannote[730].speaker SPEAKER_33
transcript.pyannote[730].start 5844.60284375
transcript.pyannote[730].end 5845.59846875
transcript.pyannote[731].speaker SPEAKER_33
transcript.pyannote[731].start 5846.61096875
transcript.pyannote[731].end 5850.35721875
transcript.pyannote[732].speaker SPEAKER_33
transcript.pyannote[732].start 5851.77471875
transcript.pyannote[732].end 5852.63534375
transcript.pyannote[733].speaker SPEAKER_33
transcript.pyannote[733].start 5853.39471875
transcript.pyannote[733].end 5854.62659375
transcript.pyannote[734].speaker SPEAKER_33
transcript.pyannote[734].start 5854.81221875
transcript.pyannote[734].end 5856.46596875
transcript.pyannote[735].speaker SPEAKER_33
transcript.pyannote[735].start 5856.75284375
transcript.pyannote[735].end 5857.73159375
transcript.pyannote[736].speaker SPEAKER_33
transcript.pyannote[736].start 5859.36846875
transcript.pyannote[736].end 5860.76909375
transcript.pyannote[737].speaker SPEAKER_33
transcript.pyannote[737].start 5861.44409375
transcript.pyannote[737].end 5863.28346875
transcript.pyannote[738].speaker SPEAKER_33
transcript.pyannote[738].start 5864.17784375
transcript.pyannote[738].end 5865.42659375
transcript.pyannote[739].speaker SPEAKER_33
transcript.pyannote[739].start 5866.10159375
transcript.pyannote[739].end 5867.31659375
transcript.pyannote[740].speaker SPEAKER_33
transcript.pyannote[740].start 5867.73846875
transcript.pyannote[740].end 5869.89846875
transcript.pyannote[741].speaker SPEAKER_33
transcript.pyannote[741].start 5870.65784375
transcript.pyannote[741].end 5872.41284375
transcript.pyannote[742].speaker SPEAKER_33
transcript.pyannote[742].start 5873.17221875
transcript.pyannote[742].end 5874.26909375
transcript.pyannote[743].speaker SPEAKER_33
transcript.pyannote[743].start 5874.74159375
transcript.pyannote[743].end 5875.58534375
transcript.pyannote[744].speaker SPEAKER_33
transcript.pyannote[744].start 5876.74971875
transcript.pyannote[744].end 5877.61034375
transcript.pyannote[745].speaker SPEAKER_33
transcript.pyannote[745].start 5877.96471875
transcript.pyannote[745].end 5879.34846875
transcript.pyannote[746].speaker SPEAKER_33
transcript.pyannote[746].start 5880.34409375
transcript.pyannote[746].end 5881.81221875
transcript.pyannote[747].speaker SPEAKER_33
transcript.pyannote[747].start 5882.70659375
transcript.pyannote[747].end 5884.39409375
transcript.pyannote[748].speaker SPEAKER_33
transcript.pyannote[748].start 5885.67659375
transcript.pyannote[748].end 5888.46096875
transcript.pyannote[749].speaker SPEAKER_27
transcript.pyannote[749].start 5886.57096875
transcript.pyannote[749].end 5886.73971875
transcript.pyannote[750].speaker SPEAKER_33
transcript.pyannote[750].start 5889.40596875
transcript.pyannote[750].end 5891.51534375
transcript.pyannote[751].speaker SPEAKER_33
transcript.pyannote[751].start 5891.53221875
transcript.pyannote[751].end 5891.76846875
transcript.pyannote[752].speaker SPEAKER_33
transcript.pyannote[752].start 5892.47721875
transcript.pyannote[752].end 5894.24909375
transcript.pyannote[753].speaker SPEAKER_33
transcript.pyannote[753].start 5894.90721875
transcript.pyannote[753].end 5898.51846875
transcript.pyannote[754].speaker SPEAKER_33
transcript.pyannote[754].start 5899.31159375
transcript.pyannote[754].end 5899.54784375
transcript.pyannote[755].speaker SPEAKER_33
transcript.pyannote[755].start 5900.07096875
transcript.pyannote[755].end 5901.38721875
transcript.pyannote[756].speaker SPEAKER_33
transcript.pyannote[756].start 5902.07909375
transcript.pyannote[756].end 5903.27721875
transcript.pyannote[757].speaker SPEAKER_33
transcript.pyannote[757].start 5904.61034375
transcript.pyannote[757].end 5905.50471875
transcript.pyannote[758].speaker SPEAKER_33
transcript.pyannote[758].start 5907.17534375
transcript.pyannote[758].end 5907.91784375
transcript.pyannote[759].speaker SPEAKER_33
transcript.pyannote[759].start 5908.52534375
transcript.pyannote[759].end 5910.26346875
transcript.pyannote[760].speaker SPEAKER_33
transcript.pyannote[760].start 5910.80346875
transcript.pyannote[760].end 5911.56284375
transcript.pyannote[761].speaker SPEAKER_33
transcript.pyannote[761].start 5912.11971875
transcript.pyannote[761].end 5912.74409375
transcript.pyannote[762].speaker SPEAKER_33
transcript.pyannote[762].start 5913.60471875
transcript.pyannote[762].end 5914.17846875
transcript.pyannote[763].speaker SPEAKER_33
transcript.pyannote[763].start 5914.60034375
transcript.pyannote[763].end 5915.25846875
transcript.pyannote[764].speaker SPEAKER_33
transcript.pyannote[764].start 5916.22034375
transcript.pyannote[764].end 5916.43971875
transcript.pyannote[765].speaker SPEAKER_33
transcript.pyannote[765].start 5917.21596875
transcript.pyannote[765].end 5919.91596875
transcript.pyannote[766].speaker SPEAKER_33
transcript.pyannote[766].start 5920.94534375
transcript.pyannote[766].end 5922.21096875
transcript.pyannote[767].speaker SPEAKER_33
transcript.pyannote[767].start 5924.57346875
transcript.pyannote[767].end 5925.14721875
transcript.pyannote[768].speaker SPEAKER_33
transcript.pyannote[768].start 5925.83909375
transcript.pyannote[768].end 5927.12159375
transcript.pyannote[769].speaker SPEAKER_33
transcript.pyannote[769].start 5927.81346875
transcript.pyannote[769].end 5928.33659375
transcript.pyannote[770].speaker SPEAKER_33
transcript.pyannote[770].start 5929.58534375
transcript.pyannote[770].end 5934.58034375
transcript.pyannote[771].speaker SPEAKER_33
transcript.pyannote[771].start 5935.62659375
transcript.pyannote[771].end 5936.72346875
transcript.pyannote[772].speaker SPEAKER_33
transcript.pyannote[772].start 5937.68534375
transcript.pyannote[772].end 5940.67221875
transcript.pyannote[773].speaker SPEAKER_33
transcript.pyannote[773].start 5941.21221875
transcript.pyannote[773].end 5942.47784375
transcript.pyannote[774].speaker SPEAKER_33
transcript.pyannote[774].start 5943.35534375
transcript.pyannote[774].end 5943.60846875
transcript.pyannote[775].speaker SPEAKER_33
transcript.pyannote[775].start 5944.99221875
transcript.pyannote[775].end 5945.36346875
transcript.pyannote[776].speaker SPEAKER_33
transcript.pyannote[776].start 5945.70096875
transcript.pyannote[776].end 5946.27471875
transcript.pyannote[777].speaker SPEAKER_33
transcript.pyannote[777].start 5947.06784375
transcript.pyannote[777].end 5947.79346875
transcript.pyannote[778].speaker SPEAKER_33
transcript.pyannote[778].start 5948.13096875
transcript.pyannote[778].end 5948.80596875
transcript.pyannote[779].speaker SPEAKER_33
transcript.pyannote[779].start 5949.61596875
transcript.pyannote[779].end 5950.67909375
transcript.pyannote[780].speaker SPEAKER_33
transcript.pyannote[780].start 5951.28659375
transcript.pyannote[780].end 5952.02909375
transcript.pyannote[781].speaker SPEAKER_33
transcript.pyannote[781].start 5952.67034375
transcript.pyannote[781].end 5953.14284375
transcript.pyannote[782].speaker SPEAKER_33
transcript.pyannote[782].start 5953.66596875
transcript.pyannote[782].end 5955.57284375
transcript.pyannote[783].speaker SPEAKER_33
transcript.pyannote[783].start 5955.99471875
transcript.pyannote[783].end 5959.38659375
transcript.pyannote[784].speaker SPEAKER_33
transcript.pyannote[784].start 5960.92221875
transcript.pyannote[784].end 5961.24284375
transcript.pyannote[785].speaker SPEAKER_06
transcript.pyannote[785].start 5961.00659375
transcript.pyannote[785].end 5965.63034375
transcript.pyannote[786].speaker SPEAKER_33
transcript.pyannote[786].start 5962.84596875
transcript.pyannote[786].end 5963.60534375
transcript.pyannote[787].speaker SPEAKER_06
transcript.pyannote[787].start 5965.64721875
transcript.pyannote[787].end 5965.66409375
transcript.pyannote[788].speaker SPEAKER_33
transcript.pyannote[788].start 5965.66409375
transcript.pyannote[788].end 5966.13659375
transcript.pyannote[789].speaker SPEAKER_06
transcript.pyannote[789].start 5965.78221875
transcript.pyannote[789].end 5965.81596875
transcript.pyannote[790].speaker SPEAKER_06
transcript.pyannote[790].start 5965.83284375
transcript.pyannote[790].end 5965.96784375
transcript.pyannote[791].speaker SPEAKER_33
transcript.pyannote[791].start 5966.82846875
transcript.pyannote[791].end 5968.02659375
transcript.pyannote[792].speaker SPEAKER_06
transcript.pyannote[792].start 5968.21221875
transcript.pyannote[792].end 5971.08096875
transcript.pyannote[793].speaker SPEAKER_33
transcript.pyannote[793].start 5968.90409375
transcript.pyannote[793].end 5969.20784375
transcript.pyannote[794].speaker SPEAKER_33
transcript.pyannote[794].start 5970.30471875
transcript.pyannote[794].end 5971.94159375
transcript.pyannote[795].speaker SPEAKER_06
transcript.pyannote[795].start 5972.31284375
transcript.pyannote[795].end 5973.35909375
transcript.pyannote[796].speaker SPEAKER_33
transcript.pyannote[796].start 5973.24096875
transcript.pyannote[796].end 5981.88096875
transcript.pyannote[797].speaker SPEAKER_06
transcript.pyannote[797].start 5978.16846875
transcript.pyannote[797].end 5978.23596875
transcript.pyannote[798].speaker SPEAKER_33
transcript.pyannote[798].start 5983.09596875
transcript.pyannote[798].end 5984.71596875
transcript.pyannote[799].speaker SPEAKER_33
transcript.pyannote[799].start 5985.64409375
transcript.pyannote[799].end 5986.62284375
transcript.pyannote[800].speaker SPEAKER_33
transcript.pyannote[800].start 5987.43284375
transcript.pyannote[800].end 5992.32659375
transcript.pyannote[801].speaker SPEAKER_33
transcript.pyannote[801].start 5992.76534375
transcript.pyannote[801].end 5994.68909375
transcript.pyannote[802].speaker SPEAKER_33
transcript.pyannote[802].start 5994.97596875
transcript.pyannote[802].end 5996.14034375
transcript.pyannote[803].speaker SPEAKER_33
transcript.pyannote[803].start 5998.75596875
transcript.pyannote[803].end 5999.41409375
transcript.pyannote[804].speaker SPEAKER_33
transcript.pyannote[804].start 6000.34221875
transcript.pyannote[804].end 6000.61221875
transcript.pyannote[805].speaker SPEAKER_33
transcript.pyannote[805].start 6001.32096875
transcript.pyannote[805].end 6002.21534375
transcript.pyannote[806].speaker SPEAKER_33
transcript.pyannote[806].start 6003.48096875
transcript.pyannote[806].end 6004.64534375
transcript.pyannote[807].speaker SPEAKER_33
transcript.pyannote[807].start 6005.16846875
transcript.pyannote[807].end 6005.64096875
transcript.pyannote[808].speaker SPEAKER_33
transcript.pyannote[808].start 6005.97846875
transcript.pyannote[808].end 6007.02471875
transcript.pyannote[809].speaker SPEAKER_33
transcript.pyannote[809].start 6007.49721875
transcript.pyannote[809].end 6008.20596875
transcript.pyannote[810].speaker SPEAKER_33
transcript.pyannote[810].start 6008.50971875
transcript.pyannote[810].end 6009.35346875
transcript.pyannote[811].speaker SPEAKER_33
transcript.pyannote[811].start 6010.58534375
transcript.pyannote[811].end 6011.39534375
transcript.pyannote[812].speaker SPEAKER_33
transcript.pyannote[812].start 6012.55971875
transcript.pyannote[812].end 6015.39471875
transcript.pyannote[813].speaker SPEAKER_33
transcript.pyannote[813].start 6016.12034375
transcript.pyannote[813].end 6016.44096875
transcript.pyannote[814].speaker SPEAKER_33
transcript.pyannote[814].start 6016.96409375
transcript.pyannote[814].end 6018.56721875
transcript.pyannote[815].speaker SPEAKER_33
transcript.pyannote[815].start 6019.27596875
transcript.pyannote[815].end 6021.19971875
transcript.pyannote[816].speaker SPEAKER_33
transcript.pyannote[816].start 6021.77346875
transcript.pyannote[816].end 6022.87034375
transcript.pyannote[817].speaker SPEAKER_33
transcript.pyannote[817].start 6023.84909375
transcript.pyannote[817].end 6024.54096875
transcript.pyannote[818].speaker SPEAKER_33
transcript.pyannote[818].start 6025.77284375
transcript.pyannote[818].end 6027.64596875
transcript.pyannote[819].speaker SPEAKER_33
transcript.pyannote[819].start 6027.98346875
transcript.pyannote[819].end 6028.96221875
transcript.pyannote[820].speaker SPEAKER_33
transcript.pyannote[820].start 6029.45159375
transcript.pyannote[820].end 6031.22346875
transcript.pyannote[821].speaker SPEAKER_33
transcript.pyannote[821].start 6033.01221875
transcript.pyannote[821].end 6036.92721875
transcript.pyannote[822].speaker SPEAKER_33
transcript.pyannote[822].start 6038.07471875
transcript.pyannote[822].end 6038.32784375
transcript.pyannote[823].speaker SPEAKER_33
transcript.pyannote[823].start 6038.85096875
transcript.pyannote[823].end 6047.38971875
transcript.pyannote[824].speaker SPEAKER_27
transcript.pyannote[824].start 6041.04471875
transcript.pyannote[824].end 6041.09534375
transcript.pyannote[825].speaker SPEAKER_27
transcript.pyannote[825].start 6041.14596875
transcript.pyannote[825].end 6041.29784375
transcript.pyannote[826].speaker SPEAKER_33
transcript.pyannote[826].start 6047.49096875
transcript.pyannote[826].end 6048.97596875
transcript.pyannote[827].speaker SPEAKER_27
transcript.pyannote[827].start 6049.07721875
transcript.pyannote[827].end 6049.09409375
transcript.pyannote[828].speaker SPEAKER_33
transcript.pyannote[828].start 6049.09409375
transcript.pyannote[828].end 6049.21221875
transcript.pyannote[829].speaker SPEAKER_27
transcript.pyannote[829].start 6049.21221875
transcript.pyannote[829].end 6049.26284375
transcript.pyannote[830].speaker SPEAKER_33
transcript.pyannote[830].start 6049.98846875
transcript.pyannote[830].end 6050.62971875
transcript.pyannote[831].speaker SPEAKER_33
transcript.pyannote[831].start 6050.89971875
transcript.pyannote[831].end 6052.60409375
transcript.pyannote[832].speaker SPEAKER_33
transcript.pyannote[832].start 6054.40971875
transcript.pyannote[832].end 6054.71346875
transcript.pyannote[833].speaker SPEAKER_33
transcript.pyannote[833].start 6055.52346875
transcript.pyannote[833].end 6056.62034375
transcript.pyannote[834].speaker SPEAKER_33
transcript.pyannote[834].start 6057.61596875
transcript.pyannote[834].end 6059.86034375
transcript.pyannote[835].speaker SPEAKER_33
transcript.pyannote[835].start 6060.68721875
transcript.pyannote[835].end 6061.22721875
transcript.pyannote[836].speaker SPEAKER_33
transcript.pyannote[836].start 6061.54784375
transcript.pyannote[836].end 6061.81784375
transcript.pyannote[837].speaker SPEAKER_33
transcript.pyannote[837].start 6062.86409375
transcript.pyannote[837].end 6063.84284375
transcript.pyannote[838].speaker SPEAKER_06
transcript.pyannote[838].start 6064.19721875
transcript.pyannote[838].end 6068.29784375
transcript.pyannote[839].speaker SPEAKER_33
transcript.pyannote[839].start 6064.50096875
transcript.pyannote[839].end 6064.97346875
transcript.pyannote[840].speaker SPEAKER_33
transcript.pyannote[840].start 6067.11659375
transcript.pyannote[840].end 6067.33596875
transcript.pyannote[841].speaker SPEAKER_33
transcript.pyannote[841].start 6068.29784375
transcript.pyannote[841].end 6070.79534375
transcript.pyannote[842].speaker SPEAKER_06
transcript.pyannote[842].start 6068.65221875
transcript.pyannote[842].end 6069.15846875
transcript.pyannote[843].speaker SPEAKER_06
transcript.pyannote[843].start 6070.05284375
transcript.pyannote[843].end 6070.39034375
transcript.pyannote[844].speaker SPEAKER_33
transcript.pyannote[844].start 6072.09471875
transcript.pyannote[844].end 6072.87096875
transcript.pyannote[845].speaker SPEAKER_33
transcript.pyannote[845].start 6073.68096875
transcript.pyannote[845].end 6074.45721875
transcript.pyannote[846].speaker SPEAKER_33
transcript.pyannote[846].start 6075.46971875
transcript.pyannote[846].end 6076.78596875
transcript.pyannote[847].speaker SPEAKER_33
transcript.pyannote[847].start 6078.74346875
transcript.pyannote[847].end 6080.16096875
transcript.pyannote[848].speaker SPEAKER_33
transcript.pyannote[848].start 6081.52784375
transcript.pyannote[848].end 6082.21971875
transcript.pyannote[849].speaker SPEAKER_33
transcript.pyannote[849].start 6082.45596875
transcript.pyannote[849].end 6084.21096875
transcript.pyannote[850].speaker SPEAKER_33
transcript.pyannote[850].start 6085.08846875
transcript.pyannote[850].end 6085.89846875
transcript.pyannote[851].speaker SPEAKER_33
transcript.pyannote[851].start 6086.40471875
transcript.pyannote[851].end 6087.23159375
transcript.pyannote[852].speaker SPEAKER_33
transcript.pyannote[852].start 6087.67034375
transcript.pyannote[852].end 6088.00784375
transcript.pyannote[853].speaker SPEAKER_33
transcript.pyannote[853].start 6088.42971875
transcript.pyannote[853].end 6089.35784375
transcript.pyannote[854].speaker SPEAKER_33
transcript.pyannote[854].start 6090.84284375
transcript.pyannote[854].end 6091.82159375
transcript.pyannote[855].speaker SPEAKER_33
transcript.pyannote[855].start 6092.47971875
transcript.pyannote[855].end 6093.35721875
transcript.pyannote[856].speaker SPEAKER_33
transcript.pyannote[856].start 6094.03221875
transcript.pyannote[856].end 6096.02346875
transcript.pyannote[857].speaker SPEAKER_33
transcript.pyannote[857].start 6096.85034375
transcript.pyannote[857].end 6097.67721875
transcript.pyannote[858].speaker SPEAKER_06
transcript.pyannote[858].start 6097.76159375
transcript.pyannote[858].end 6098.06534375
transcript.pyannote[859].speaker SPEAKER_33
transcript.pyannote[859].start 6098.68971875
transcript.pyannote[859].end 6101.08596875
transcript.pyannote[860].speaker SPEAKER_33
transcript.pyannote[860].start 6102.11534375
transcript.pyannote[860].end 6104.24159375
transcript.pyannote[861].speaker SPEAKER_33
transcript.pyannote[861].start 6104.93346875
transcript.pyannote[861].end 6105.52409375
transcript.pyannote[862].speaker SPEAKER_06
transcript.pyannote[862].start 6105.70971875
transcript.pyannote[862].end 6106.43534375
transcript.pyannote[863].speaker SPEAKER_33
transcript.pyannote[863].start 6107.14409375
transcript.pyannote[863].end 6108.40971875
transcript.pyannote[864].speaker SPEAKER_33
transcript.pyannote[864].start 6109.81034375
transcript.pyannote[864].end 6110.26596875
transcript.pyannote[865].speaker SPEAKER_33
transcript.pyannote[865].start 6111.02534375
transcript.pyannote[865].end 6112.20659375
transcript.pyannote[866].speaker SPEAKER_33
transcript.pyannote[866].start 6113.26971875
transcript.pyannote[866].end 6116.23971875
transcript.pyannote[867].speaker SPEAKER_33
transcript.pyannote[867].start 6117.06659375
transcript.pyannote[867].end 6119.54721875
transcript.pyannote[868].speaker SPEAKER_33
transcript.pyannote[868].start 6120.07034375
transcript.pyannote[868].end 6121.77471875
transcript.pyannote[869].speaker SPEAKER_27
transcript.pyannote[869].start 6121.87596875
transcript.pyannote[869].end 6122.19659375
transcript.pyannote[870].speaker SPEAKER_33
transcript.pyannote[870].start 6122.31471875
transcript.pyannote[870].end 6123.29346875
transcript.pyannote[871].speaker SPEAKER_33
transcript.pyannote[871].start 6124.23846875
transcript.pyannote[871].end 6127.00596875
transcript.pyannote[872].speaker SPEAKER_33
transcript.pyannote[872].start 6127.98471875
transcript.pyannote[872].end 6128.28846875
transcript.pyannote[873].speaker SPEAKER_33
transcript.pyannote[873].start 6128.69346875
transcript.pyannote[873].end 6132.05159375
transcript.pyannote[874].speaker SPEAKER_33
transcript.pyannote[874].start 6132.38909375
transcript.pyannote[874].end 6136.97909375
transcript.pyannote[875].speaker SPEAKER_33
transcript.pyannote[875].start 6137.19846875
transcript.pyannote[875].end 6139.12221875
transcript.pyannote[876].speaker SPEAKER_33
transcript.pyannote[876].start 6139.71284375
transcript.pyannote[876].end 6141.65346875
transcript.pyannote[877].speaker SPEAKER_33
transcript.pyannote[877].start 6142.32846875
transcript.pyannote[877].end 6144.33659375
transcript.pyannote[878].speaker SPEAKER_33
transcript.pyannote[878].start 6145.02846875
transcript.pyannote[878].end 6145.72034375
transcript.pyannote[879].speaker SPEAKER_33
transcript.pyannote[879].start 6145.85534375
transcript.pyannote[879].end 6146.69909375
transcript.pyannote[880].speaker SPEAKER_33
transcript.pyannote[880].start 6147.18846875
transcript.pyannote[880].end 6147.52596875
transcript.pyannote[881].speaker SPEAKER_33
transcript.pyannote[881].start 6148.23471875
transcript.pyannote[881].end 6149.56784375
transcript.pyannote[882].speaker SPEAKER_33
transcript.pyannote[882].start 6150.25971875
transcript.pyannote[882].end 6151.03596875
transcript.pyannote[883].speaker SPEAKER_33
transcript.pyannote[883].start 6151.22159375
transcript.pyannote[883].end 6153.87096875
transcript.pyannote[884].speaker SPEAKER_33
transcript.pyannote[884].start 6154.34346875
transcript.pyannote[884].end 6156.79034375
transcript.pyannote[885].speaker SPEAKER_33
transcript.pyannote[885].start 6157.36409375
transcript.pyannote[885].end 6161.43096875
transcript.pyannote[886].speaker SPEAKER_33
transcript.pyannote[886].start 6161.58284375
transcript.pyannote[886].end 6164.35034375
transcript.pyannote[887].speaker SPEAKER_33
transcript.pyannote[887].start 6165.07596875
transcript.pyannote[887].end 6165.41346875
transcript.pyannote[888].speaker SPEAKER_33
transcript.pyannote[888].start 6165.81846875
transcript.pyannote[888].end 6167.37096875
transcript.pyannote[889].speaker SPEAKER_33
transcript.pyannote[889].start 6167.74221875
transcript.pyannote[889].end 6168.73784375
transcript.pyannote[890].speaker SPEAKER_33
transcript.pyannote[890].start 6168.87284375
transcript.pyannote[890].end 6174.66096875
transcript.pyannote[891].speaker SPEAKER_33
transcript.pyannote[891].start 6175.15034375
transcript.pyannote[891].end 6176.92221875
transcript.pyannote[892].speaker SPEAKER_27
transcript.pyannote[892].start 6177.10784375
transcript.pyannote[892].end 6177.47909375
transcript.pyannote[893].speaker SPEAKER_33
transcript.pyannote[893].start 6177.95159375
transcript.pyannote[893].end 6178.57596875
transcript.pyannote[894].speaker SPEAKER_33
transcript.pyannote[894].start 6179.57159375
transcript.pyannote[894].end 6183.82409375
transcript.pyannote[895].speaker SPEAKER_33
transcript.pyannote[895].start 6184.16159375
transcript.pyannote[895].end 6184.85346875
transcript.pyannote[896].speaker SPEAKER_33
transcript.pyannote[896].start 6185.22471875
transcript.pyannote[896].end 6189.89909375
transcript.pyannote[897].speaker SPEAKER_33
transcript.pyannote[897].start 6190.10159375
transcript.pyannote[897].end 6191.99159375
transcript.pyannote[898].speaker SPEAKER_33
transcript.pyannote[898].start 6192.51471875
transcript.pyannote[898].end 6194.15159375
transcript.pyannote[899].speaker SPEAKER_33
transcript.pyannote[899].start 6194.65784375
transcript.pyannote[899].end 6195.09659375
transcript.pyannote[900].speaker SPEAKER_33
transcript.pyannote[900].start 6195.21471875
transcript.pyannote[900].end 6198.67409375
transcript.pyannote[901].speaker SPEAKER_33
transcript.pyannote[901].start 6199.26471875
transcript.pyannote[901].end 6200.09159375
transcript.pyannote[902].speaker SPEAKER_33
transcript.pyannote[902].start 6200.58096875
transcript.pyannote[902].end 6201.18846875
transcript.pyannote[903].speaker SPEAKER_33
transcript.pyannote[903].start 6201.66096875
transcript.pyannote[903].end 6203.02784375
transcript.pyannote[904].speaker SPEAKER_33
transcript.pyannote[904].start 6203.88846875
transcript.pyannote[904].end 6204.17534375
transcript.pyannote[905].speaker SPEAKER_33
transcript.pyannote[905].start 6205.45784375
transcript.pyannote[905].end 6206.04846875
transcript.pyannote[906].speaker SPEAKER_33
transcript.pyannote[906].start 6206.45346875
transcript.pyannote[906].end 6207.49971875
transcript.pyannote[907].speaker SPEAKER_33
transcript.pyannote[907].start 6208.20846875
transcript.pyannote[907].end 6208.81596875
transcript.pyannote[908].speaker SPEAKER_06
transcript.pyannote[908].start 6208.27596875
transcript.pyannote[908].end 6208.52909375
transcript.pyannote[909].speaker SPEAKER_06
transcript.pyannote[909].start 6209.05221875
transcript.pyannote[909].end 6209.87909375
transcript.pyannote[910].speaker SPEAKER_33
transcript.pyannote[910].start 6209.72721875
transcript.pyannote[910].end 6212.88284375
transcript.pyannote[911].speaker SPEAKER_06
transcript.pyannote[911].start 6210.41909375
transcript.pyannote[911].end 6210.97596875
transcript.pyannote[912].speaker SPEAKER_06
transcript.pyannote[912].start 6212.42721875
transcript.pyannote[912].end 6213.59159375
transcript.pyannote[913].speaker SPEAKER_33
transcript.pyannote[913].start 6213.76034375
transcript.pyannote[913].end 6215.63346875
transcript.pyannote[914].speaker SPEAKER_06
transcript.pyannote[914].start 6215.63346875
transcript.pyannote[914].end 6216.12284375
transcript.pyannote[915].speaker SPEAKER_06
transcript.pyannote[915].start 6216.13971875
transcript.pyannote[915].end 6216.27471875
transcript.pyannote[916].speaker SPEAKER_33
transcript.pyannote[916].start 6216.22409375
transcript.pyannote[916].end 6217.70909375
transcript.pyannote[917].speaker SPEAKER_33
transcript.pyannote[917].start 6218.60346875
transcript.pyannote[917].end 6221.03346875
transcript.pyannote[918].speaker SPEAKER_33
transcript.pyannote[918].start 6221.62409375
transcript.pyannote[918].end 6224.84721875
transcript.pyannote[919].speaker SPEAKER_33
transcript.pyannote[919].start 6225.33659375
transcript.pyannote[919].end 6225.75846875
transcript.pyannote[920].speaker SPEAKER_06
transcript.pyannote[920].start 6225.67409375
transcript.pyannote[920].end 6228.40784375
transcript.pyannote[921].speaker SPEAKER_33
transcript.pyannote[921].start 6227.20971875
transcript.pyannote[921].end 6233.84159375
transcript.pyannote[922].speaker SPEAKER_06
transcript.pyannote[922].start 6229.26846875
transcript.pyannote[922].end 6230.12909375
transcript.pyannote[923].speaker SPEAKER_33
transcript.pyannote[923].start 6234.75284375
transcript.pyannote[923].end 6236.25471875
transcript.pyannote[924].speaker SPEAKER_33
transcript.pyannote[924].start 6237.16596875
transcript.pyannote[924].end 6238.21221875
transcript.pyannote[925].speaker SPEAKER_33
transcript.pyannote[925].start 6239.19096875
transcript.pyannote[925].end 6243.34221875
transcript.pyannote[926].speaker SPEAKER_33
transcript.pyannote[926].start 6244.15221875
transcript.pyannote[926].end 6245.53596875
transcript.pyannote[927].speaker SPEAKER_33
transcript.pyannote[927].start 6246.27846875
transcript.pyannote[927].end 6246.70034375
transcript.pyannote[928].speaker SPEAKER_33
transcript.pyannote[928].start 6247.35846875
transcript.pyannote[928].end 6248.69159375
transcript.pyannote[929].speaker SPEAKER_27
transcript.pyannote[929].start 6248.87721875
transcript.pyannote[929].end 6249.21471875
transcript.pyannote[930].speaker SPEAKER_33
transcript.pyannote[930].start 6249.21471875
transcript.pyannote[930].end 6250.31159375
transcript.pyannote[931].speaker SPEAKER_33
transcript.pyannote[931].start 6250.56471875
transcript.pyannote[931].end 6251.32409375
transcript.pyannote[932].speaker SPEAKER_33
transcript.pyannote[932].start 6251.72909375
transcript.pyannote[932].end 6253.63596875
transcript.pyannote[933].speaker SPEAKER_33
transcript.pyannote[933].start 6253.92284375
transcript.pyannote[933].end 6255.25596875
transcript.pyannote[934].speaker SPEAKER_33
transcript.pyannote[934].start 6255.76221875
transcript.pyannote[934].end 6256.42034375
transcript.pyannote[935].speaker SPEAKER_33
transcript.pyannote[935].start 6256.87596875
transcript.pyannote[935].end 6258.02346875
transcript.pyannote[936].speaker SPEAKER_05
transcript.pyannote[936].start 6258.02346875
transcript.pyannote[936].end 6258.51284375
transcript.pyannote[937].speaker SPEAKER_16
transcript.pyannote[937].start 6260.48721875
transcript.pyannote[937].end 6262.59659375
transcript.pyannote[938].speaker SPEAKER_16
transcript.pyannote[938].start 6263.10284375
transcript.pyannote[938].end 6265.66784375
transcript.pyannote[939].speaker SPEAKER_03
transcript.pyannote[939].start 6272.51909375
transcript.pyannote[939].end 6274.17284375
transcript.pyannote[940].speaker SPEAKER_03
transcript.pyannote[940].start 6274.40909375
transcript.pyannote[940].end 6275.23596875
transcript.pyannote[941].speaker SPEAKER_16
transcript.pyannote[941].start 6275.80971875
transcript.pyannote[941].end 6276.41721875
transcript.pyannote[942].speaker SPEAKER_21
transcript.pyannote[942].start 6284.97284375
transcript.pyannote[942].end 6285.04034375
transcript.pyannote[943].speaker SPEAKER_03
transcript.pyannote[943].start 6285.04034375
transcript.pyannote[943].end 6285.14159375
transcript.pyannote[944].speaker SPEAKER_10
transcript.pyannote[944].start 6288.66846875
transcript.pyannote[944].end 6288.70221875
transcript.pyannote[945].speaker SPEAKER_03
transcript.pyannote[945].start 6288.70221875
transcript.pyannote[945].end 6288.76971875
transcript.pyannote[946].speaker SPEAKER_10
transcript.pyannote[946].start 6288.76971875
transcript.pyannote[946].end 6289.10721875
transcript.pyannote[947].speaker SPEAKER_03
transcript.pyannote[947].start 6289.10721875
transcript.pyannote[947].end 6289.14096875
transcript.pyannote[948].speaker SPEAKER_03
transcript.pyannote[948].start 6289.34346875
transcript.pyannote[948].end 6289.79909375
transcript.pyannote[949].speaker SPEAKER_03
transcript.pyannote[949].start 6290.35596875
transcript.pyannote[949].end 6297.52784375
transcript.pyannote[950].speaker SPEAKER_03
transcript.pyannote[950].start 6297.76409375
transcript.pyannote[950].end 6299.31659375
transcript.pyannote[951].speaker SPEAKER_03
transcript.pyannote[951].start 6299.36721875
transcript.pyannote[951].end 6300.70034375
transcript.pyannote[952].speaker SPEAKER_03
transcript.pyannote[952].start 6301.37534375
transcript.pyannote[952].end 6302.50596875
transcript.pyannote[953].speaker SPEAKER_03
transcript.pyannote[953].start 6302.52284375
transcript.pyannote[953].end 6304.41284375
transcript.pyannote[954].speaker SPEAKER_03
transcript.pyannote[954].start 6304.76721875
transcript.pyannote[954].end 6306.52221875
transcript.pyannote[955].speaker SPEAKER_03
transcript.pyannote[955].start 6306.99471875
transcript.pyannote[955].end 6311.63534375
transcript.pyannote[956].speaker SPEAKER_03
transcript.pyannote[956].start 6312.20909375
transcript.pyannote[956].end 6315.14534375
transcript.pyannote[957].speaker SPEAKER_03
transcript.pyannote[957].start 6315.34784375
transcript.pyannote[957].end 6317.37284375
transcript.pyannote[958].speaker SPEAKER_03
transcript.pyannote[958].start 6318.06471875
transcript.pyannote[958].end 6321.99659375
transcript.pyannote[959].speaker SPEAKER_03
transcript.pyannote[959].start 6322.36784375
transcript.pyannote[959].end 6326.72159375
transcript.pyannote[960].speaker SPEAKER_03
transcript.pyannote[960].start 6326.89034375
transcript.pyannote[960].end 6327.63284375
transcript.pyannote[961].speaker SPEAKER_03
transcript.pyannote[961].start 6328.35846875
transcript.pyannote[961].end 6330.13034375
transcript.pyannote[962].speaker SPEAKER_03
transcript.pyannote[962].start 6330.28221875
transcript.pyannote[962].end 6332.15534375
transcript.pyannote[963].speaker SPEAKER_03
transcript.pyannote[963].start 6332.54346875
transcript.pyannote[963].end 6340.55909375
transcript.pyannote[964].speaker SPEAKER_03
transcript.pyannote[964].start 6340.99784375
transcript.pyannote[964].end 6343.44471875
transcript.pyannote[965].speaker SPEAKER_03
transcript.pyannote[965].start 6343.84971875
transcript.pyannote[965].end 6345.08159375
transcript.pyannote[966].speaker SPEAKER_03
transcript.pyannote[966].start 6345.43596875
transcript.pyannote[966].end 6348.05159375
transcript.pyannote[967].speaker SPEAKER_03
transcript.pyannote[967].start 6349.65471875
transcript.pyannote[967].end 6352.11846875
transcript.pyannote[968].speaker SPEAKER_03
transcript.pyannote[968].start 6352.72596875
transcript.pyannote[968].end 6354.22784375
transcript.pyannote[969].speaker SPEAKER_03
transcript.pyannote[969].start 6354.93659375
transcript.pyannote[969].end 6358.00784375
transcript.pyannote[970].speaker SPEAKER_03
transcript.pyannote[970].start 6358.44659375
transcript.pyannote[970].end 6362.10846875
transcript.pyannote[971].speaker SPEAKER_03
transcript.pyannote[971].start 6362.86784375
transcript.pyannote[971].end 6365.33159375
transcript.pyannote[972].speaker SPEAKER_03
transcript.pyannote[972].start 6365.75346875
transcript.pyannote[972].end 6367.93034375
transcript.pyannote[973].speaker SPEAKER_03
transcript.pyannote[973].start 6368.21721875
transcript.pyannote[973].end 6368.85846875
transcript.pyannote[974].speaker SPEAKER_03
transcript.pyannote[974].start 6368.99346875
transcript.pyannote[974].end 6372.60471875
transcript.pyannote[975].speaker SPEAKER_03
transcript.pyannote[975].start 6373.17846875
transcript.pyannote[975].end 6375.82784375
transcript.pyannote[976].speaker SPEAKER_03
transcript.pyannote[976].start 6375.99659375
transcript.pyannote[976].end 6377.95409375
transcript.pyannote[977].speaker SPEAKER_03
transcript.pyannote[977].start 6378.34221875
transcript.pyannote[977].end 6379.91159375
transcript.pyannote[978].speaker SPEAKER_03
transcript.pyannote[978].start 6380.38409375
transcript.pyannote[978].end 6381.76784375
transcript.pyannote[979].speaker SPEAKER_03
transcript.pyannote[979].start 6381.98721875
transcript.pyannote[979].end 6385.51409375
transcript.pyannote[980].speaker SPEAKER_03
transcript.pyannote[980].start 6386.12159375
transcript.pyannote[980].end 6390.13784375
transcript.pyannote[981].speaker SPEAKER_03
transcript.pyannote[981].start 6391.72409375
transcript.pyannote[981].end 6393.10784375
transcript.pyannote[982].speaker SPEAKER_03
transcript.pyannote[982].start 6394.15409375
transcript.pyannote[982].end 6395.33534375
transcript.pyannote[983].speaker SPEAKER_03
transcript.pyannote[983].start 6395.99346875
transcript.pyannote[983].end 6398.28846875
transcript.pyannote[984].speaker SPEAKER_03
transcript.pyannote[984].start 6398.86221875
transcript.pyannote[984].end 6400.51596875
transcript.pyannote[985].speaker SPEAKER_03
transcript.pyannote[985].start 6400.98846875
transcript.pyannote[985].end 6408.02534375
transcript.pyannote[986].speaker SPEAKER_03
transcript.pyannote[986].start 6408.66659375
transcript.pyannote[986].end 6409.07159375
transcript.pyannote[987].speaker SPEAKER_03
transcript.pyannote[987].start 6409.32471875
transcript.pyannote[987].end 6411.51846875
transcript.pyannote[988].speaker SPEAKER_03
transcript.pyannote[988].start 6412.31159375
transcript.pyannote[988].end 6418.30221875
transcript.pyannote[989].speaker SPEAKER_03
transcript.pyannote[989].start 6418.63971875
transcript.pyannote[989].end 6424.91721875
transcript.pyannote[990].speaker SPEAKER_01
transcript.pyannote[990].start 6418.94346875
transcript.pyannote[990].end 6419.38221875
transcript.pyannote[991].speaker SPEAKER_03
transcript.pyannote[991].start 6426.08159375
transcript.pyannote[991].end 6430.16534375
transcript.pyannote[992].speaker SPEAKER_03
transcript.pyannote[992].start 6430.95846875
transcript.pyannote[992].end 6432.24096875
transcript.pyannote[993].speaker SPEAKER_03
transcript.pyannote[993].start 6432.73034375
transcript.pyannote[993].end 6433.33784375
transcript.pyannote[994].speaker SPEAKER_03
transcript.pyannote[994].start 6433.67534375
transcript.pyannote[994].end 6436.12221875
transcript.pyannote[995].speaker SPEAKER_03
transcript.pyannote[995].start 6436.79721875
transcript.pyannote[995].end 6437.50596875
transcript.pyannote[996].speaker SPEAKER_03
transcript.pyannote[996].start 6437.64096875
transcript.pyannote[996].end 6445.87596875
transcript.pyannote[997].speaker SPEAKER_03
transcript.pyannote[997].start 6446.21346875
transcript.pyannote[997].end 6448.62659375
transcript.pyannote[998].speaker SPEAKER_03
transcript.pyannote[998].start 6449.11596875
transcript.pyannote[998].end 6450.39846875
transcript.pyannote[999].speaker SPEAKER_03
transcript.pyannote[999].start 6450.90471875
transcript.pyannote[999].end 6451.49534375
transcript.pyannote[1000].speaker SPEAKER_03
transcript.pyannote[1000].start 6451.93409375
transcript.pyannote[1000].end 6454.58346875
transcript.pyannote[1001].speaker SPEAKER_03
transcript.pyannote[1001].start 6455.71409375
transcript.pyannote[1001].end 6459.13971875
transcript.pyannote[1002].speaker SPEAKER_03
transcript.pyannote[1002].start 6459.84846875
transcript.pyannote[1002].end 6461.40096875
transcript.pyannote[1003].speaker SPEAKER_03
transcript.pyannote[1003].start 6461.50221875
transcript.pyannote[1003].end 6464.33721875
transcript.pyannote[1004].speaker SPEAKER_03
transcript.pyannote[1004].start 6464.94471875
transcript.pyannote[1004].end 6467.83034375
transcript.pyannote[1005].speaker SPEAKER_03
transcript.pyannote[1005].start 6468.21846875
transcript.pyannote[1005].end 6470.12534375
transcript.pyannote[1006].speaker SPEAKER_03
transcript.pyannote[1006].start 6470.58096875
transcript.pyannote[1006].end 6473.02784375
transcript.pyannote[1007].speaker SPEAKER_03
transcript.pyannote[1007].start 6473.46659375
transcript.pyannote[1007].end 6474.95159375
transcript.pyannote[1008].speaker SPEAKER_03
transcript.pyannote[1008].start 6475.86284375
transcript.pyannote[1008].end 6479.67659375
transcript.pyannote[1009].speaker SPEAKER_03
transcript.pyannote[1009].start 6480.43596875
transcript.pyannote[1009].end 6484.01346875
transcript.pyannote[1010].speaker SPEAKER_03
transcript.pyannote[1010].start 6484.65471875
transcript.pyannote[1010].end 6486.30846875
transcript.pyannote[1011].speaker SPEAKER_03
transcript.pyannote[1011].start 6486.67971875
transcript.pyannote[1011].end 6487.25346875
transcript.pyannote[1012].speaker SPEAKER_03
transcript.pyannote[1012].start 6487.94534375
transcript.pyannote[1012].end 6489.64971875
transcript.pyannote[1013].speaker SPEAKER_03
transcript.pyannote[1013].start 6490.57784375
transcript.pyannote[1013].end 6492.78846875
transcript.pyannote[1014].speaker SPEAKER_03
transcript.pyannote[1014].start 6492.83909375
transcript.pyannote[1014].end 6495.96096875
transcript.pyannote[1015].speaker SPEAKER_03
transcript.pyannote[1015].start 6497.05784375
transcript.pyannote[1015].end 6498.10409375
transcript.pyannote[1016].speaker SPEAKER_03
transcript.pyannote[1016].start 6498.96471875
transcript.pyannote[1016].end 6501.17534375
transcript.pyannote[1017].speaker SPEAKER_03
transcript.pyannote[1017].start 6502.18784375
transcript.pyannote[1017].end 6503.36909375
transcript.pyannote[1018].speaker SPEAKER_03
transcript.pyannote[1018].start 6503.62221875
transcript.pyannote[1018].end 6504.51659375
transcript.pyannote[1019].speaker SPEAKER_03
transcript.pyannote[1019].start 6505.14096875
transcript.pyannote[1019].end 6507.28409375
transcript.pyannote[1020].speaker SPEAKER_03
transcript.pyannote[1020].start 6507.95909375
transcript.pyannote[1020].end 6509.89971875
transcript.pyannote[1021].speaker SPEAKER_03
transcript.pyannote[1021].start 6510.15284375
transcript.pyannote[1021].end 6511.50284375
transcript.pyannote[1022].speaker SPEAKER_03
transcript.pyannote[1022].start 6511.94159375
transcript.pyannote[1022].end 6513.03846875
transcript.pyannote[1023].speaker SPEAKER_03
transcript.pyannote[1023].start 6513.27471875
transcript.pyannote[1023].end 6514.38846875
transcript.pyannote[1024].speaker SPEAKER_03
transcript.pyannote[1024].start 6514.97909375
transcript.pyannote[1024].end 6515.68784375
transcript.pyannote[1025].speaker SPEAKER_03
transcript.pyannote[1025].start 6515.94096875
transcript.pyannote[1025].end 6518.33721875
transcript.pyannote[1026].speaker SPEAKER_03
transcript.pyannote[1026].start 6519.14721875
transcript.pyannote[1026].end 6519.60284375
transcript.pyannote[1027].speaker SPEAKER_03
transcript.pyannote[1027].start 6520.12596875
transcript.pyannote[1027].end 6521.88096875
transcript.pyannote[1028].speaker SPEAKER_03
transcript.pyannote[1028].start 6522.18471875
transcript.pyannote[1028].end 6523.72034375
transcript.pyannote[1029].speaker SPEAKER_03
transcript.pyannote[1029].start 6524.81721875
transcript.pyannote[1029].end 6526.01534375
transcript.pyannote[1030].speaker SPEAKER_03
transcript.pyannote[1030].start 6526.63971875
transcript.pyannote[1030].end 6527.26409375
transcript.pyannote[1031].speaker SPEAKER_03
transcript.pyannote[1031].start 6527.80409375
transcript.pyannote[1031].end 6528.49596875
transcript.pyannote[1032].speaker SPEAKER_03
transcript.pyannote[1032].start 6529.44096875
transcript.pyannote[1032].end 6532.41096875
transcript.pyannote[1033].speaker SPEAKER_03
transcript.pyannote[1033].start 6532.52909375
transcript.pyannote[1033].end 6534.82409375
transcript.pyannote[1034].speaker SPEAKER_03
transcript.pyannote[1034].start 6535.48221875
transcript.pyannote[1034].end 6536.15721875
transcript.pyannote[1035].speaker SPEAKER_03
transcript.pyannote[1035].start 6536.69721875
transcript.pyannote[1035].end 6538.19909375
transcript.pyannote[1036].speaker SPEAKER_03
transcript.pyannote[1036].start 6538.45221875
transcript.pyannote[1036].end 6540.27471875
transcript.pyannote[1037].speaker SPEAKER_03
transcript.pyannote[1037].start 6540.52784375
transcript.pyannote[1037].end 6541.40534375
transcript.pyannote[1038].speaker SPEAKER_03
transcript.pyannote[1038].start 6541.77659375
transcript.pyannote[1038].end 6542.78909375
transcript.pyannote[1039].speaker SPEAKER_03
transcript.pyannote[1039].start 6543.29534375
transcript.pyannote[1039].end 6544.27409375
transcript.pyannote[1040].speaker SPEAKER_03
transcript.pyannote[1040].start 6544.47659375
transcript.pyannote[1040].end 6545.08409375
transcript.pyannote[1041].speaker SPEAKER_10
transcript.pyannote[1041].start 6545.64096875
transcript.pyannote[1041].end 6547.26096875
transcript.pyannote[1042].speaker SPEAKER_11
transcript.pyannote[1042].start 6549.37034375
transcript.pyannote[1042].end 6552.55971875
transcript.pyannote[1043].speaker SPEAKER_11
transcript.pyannote[1043].start 6553.13346875
transcript.pyannote[1043].end 6556.00221875
transcript.pyannote[1044].speaker SPEAKER_03
transcript.pyannote[1044].start 6555.58034375
transcript.pyannote[1044].end 6557.79096875
transcript.pyannote[1045].speaker SPEAKER_11
transcript.pyannote[1045].start 6557.79096875
transcript.pyannote[1045].end 6559.02284375
transcript.pyannote[1046].speaker SPEAKER_03
transcript.pyannote[1046].start 6557.99346875
transcript.pyannote[1046].end 6559.37721875
transcript.pyannote[1047].speaker SPEAKER_03
transcript.pyannote[1047].start 6559.98471875
transcript.pyannote[1047].end 6562.83659375
transcript.pyannote[1048].speaker SPEAKER_03
transcript.pyannote[1048].start 6563.17409375
transcript.pyannote[1048].end 6566.19471875
transcript.pyannote[1049].speaker SPEAKER_11
transcript.pyannote[1049].start 6566.29596875
transcript.pyannote[1049].end 6567.86534375
transcript.pyannote[1050].speaker SPEAKER_03
transcript.pyannote[1050].start 6568.00034375
transcript.pyannote[1050].end 6570.37971875
transcript.pyannote[1051].speaker SPEAKER_11
transcript.pyannote[1051].start 6570.78471875
transcript.pyannote[1051].end 6573.51846875
transcript.pyannote[1052].speaker SPEAKER_03
transcript.pyannote[1052].start 6572.74221875
transcript.pyannote[1052].end 6575.39159375
transcript.pyannote[1053].speaker SPEAKER_11
transcript.pyannote[1053].start 6575.79659375
transcript.pyannote[1053].end 6601.76721875
transcript.pyannote[1054].speaker SPEAKER_03
transcript.pyannote[1054].start 6601.32846875
transcript.pyannote[1054].end 6602.03721875
transcript.pyannote[1055].speaker SPEAKER_03
transcript.pyannote[1055].start 6602.39159375
transcript.pyannote[1055].end 6603.52221875
transcript.pyannote[1056].speaker SPEAKER_03
transcript.pyannote[1056].start 6604.06221875
transcript.pyannote[1056].end 6604.45034375
transcript.pyannote[1057].speaker SPEAKER_03
transcript.pyannote[1057].start 6605.04096875
transcript.pyannote[1057].end 6606.20534375
transcript.pyannote[1058].speaker SPEAKER_03
transcript.pyannote[1058].start 6606.69471875
transcript.pyannote[1058].end 6607.55534375
transcript.pyannote[1059].speaker SPEAKER_03
transcript.pyannote[1059].start 6608.04471875
transcript.pyannote[1059].end 6610.44096875
transcript.pyannote[1060].speaker SPEAKER_03
transcript.pyannote[1060].start 6611.06534375
transcript.pyannote[1060].end 6612.16221875
transcript.pyannote[1061].speaker SPEAKER_03
transcript.pyannote[1061].start 6612.63471875
transcript.pyannote[1061].end 6616.87034375
transcript.pyannote[1062].speaker SPEAKER_03
transcript.pyannote[1062].start 6617.22471875
transcript.pyannote[1062].end 6618.59159375
transcript.pyannote[1063].speaker SPEAKER_03
transcript.pyannote[1063].start 6619.60409375
transcript.pyannote[1063].end 6620.43096875
transcript.pyannote[1064].speaker SPEAKER_03
transcript.pyannote[1064].start 6621.03846875
transcript.pyannote[1064].end 6621.76409375
transcript.pyannote[1065].speaker SPEAKER_03
transcript.pyannote[1065].start 6622.50659375
transcript.pyannote[1065].end 6624.71721875
transcript.pyannote[1066].speaker SPEAKER_03
transcript.pyannote[1066].start 6625.20659375
transcript.pyannote[1066].end 6626.91096875
transcript.pyannote[1067].speaker SPEAKER_03
transcript.pyannote[1067].start 6627.26534375
transcript.pyannote[1067].end 6633.17159375
transcript.pyannote[1068].speaker SPEAKER_03
transcript.pyannote[1068].start 6633.61034375
transcript.pyannote[1068].end 6634.40346875
transcript.pyannote[1069].speaker SPEAKER_03
transcript.pyannote[1069].start 6634.75784375
transcript.pyannote[1069].end 6641.40659375
transcript.pyannote[1070].speaker SPEAKER_03
transcript.pyannote[1070].start 6641.67659375
transcript.pyannote[1070].end 6643.43159375
transcript.pyannote[1071].speaker SPEAKER_03
transcript.pyannote[1071].start 6644.61284375
transcript.pyannote[1071].end 6646.03034375
transcript.pyannote[1072].speaker SPEAKER_03
transcript.pyannote[1072].start 6646.08096875
transcript.pyannote[1072].end 6648.08909375
transcript.pyannote[1073].speaker SPEAKER_10
transcript.pyannote[1073].start 6649.01721875
transcript.pyannote[1073].end 6659.09159375
transcript.pyannote[1074].speaker SPEAKER_03
transcript.pyannote[1074].start 6659.09159375
transcript.pyannote[1074].end 6664.79534375
transcript.pyannote[1075].speaker SPEAKER_03
transcript.pyannote[1075].start 6665.30159375
transcript.pyannote[1075].end 6666.93846875
transcript.pyannote[1076].speaker SPEAKER_03
transcript.pyannote[1076].start 6667.25909375
transcript.pyannote[1076].end 6668.08596875
transcript.pyannote[1077].speaker SPEAKER_03
transcript.pyannote[1077].start 6669.01409375
transcript.pyannote[1077].end 6669.94221875
transcript.pyannote[1078].speaker SPEAKER_03
transcript.pyannote[1078].start 6670.31346875
transcript.pyannote[1078].end 6673.99221875
transcript.pyannote[1079].speaker SPEAKER_03
transcript.pyannote[1079].start 6674.56596875
transcript.pyannote[1079].end 6675.42659375
transcript.pyannote[1080].speaker SPEAKER_03
transcript.pyannote[1080].start 6675.71346875
transcript.pyannote[1080].end 6676.32096875
transcript.pyannote[1081].speaker SPEAKER_03
transcript.pyannote[1081].start 6676.77659375
transcript.pyannote[1081].end 6677.60346875
transcript.pyannote[1082].speaker SPEAKER_03
transcript.pyannote[1082].start 6678.05909375
transcript.pyannote[1082].end 6680.05034375
transcript.pyannote[1083].speaker SPEAKER_03
transcript.pyannote[1083].start 6680.75909375
transcript.pyannote[1083].end 6692.70659375
transcript.pyannote[1084].speaker SPEAKER_03
transcript.pyannote[1084].start 6692.79096875
transcript.pyannote[1084].end 6697.38096875
transcript.pyannote[1085].speaker SPEAKER_03
transcript.pyannote[1085].start 6697.78596875
transcript.pyannote[1085].end 6702.08909375
transcript.pyannote[1086].speaker SPEAKER_03
transcript.pyannote[1086].start 6702.15659375
transcript.pyannote[1086].end 6704.46846875
transcript.pyannote[1087].speaker SPEAKER_03
transcript.pyannote[1087].start 6705.10971875
transcript.pyannote[1087].end 6706.10534375
transcript.pyannote[1088].speaker SPEAKER_03
transcript.pyannote[1088].start 6706.29096875
transcript.pyannote[1088].end 6710.66159375
transcript.pyannote[1089].speaker SPEAKER_03
transcript.pyannote[1089].start 6711.31971875
transcript.pyannote[1089].end 6713.10846875
transcript.pyannote[1090].speaker SPEAKER_03
transcript.pyannote[1090].start 6713.91846875
transcript.pyannote[1090].end 6716.70284375
transcript.pyannote[1091].speaker SPEAKER_03
transcript.pyannote[1091].start 6717.00659375
transcript.pyannote[1091].end 6724.21221875
transcript.pyannote[1092].speaker SPEAKER_03
transcript.pyannote[1092].start 6725.12346875
transcript.pyannote[1092].end 6725.44409375
transcript.pyannote[1093].speaker SPEAKER_03
transcript.pyannote[1093].start 6726.28784375
transcript.pyannote[1093].end 6727.03034375
transcript.pyannote[1094].speaker SPEAKER_10
transcript.pyannote[1094].start 6728.41409375
transcript.pyannote[1094].end 6733.64534375
transcript.pyannote[1095].speaker SPEAKER_03
transcript.pyannote[1095].start 6733.94909375
transcript.pyannote[1095].end 6734.92784375
transcript.pyannote[1096].speaker SPEAKER_10
transcript.pyannote[1096].start 6733.99971875
transcript.pyannote[1096].end 6734.70846875
transcript.pyannote[1097].speaker SPEAKER_03
transcript.pyannote[1097].start 6735.21471875
transcript.pyannote[1097].end 6736.12596875
transcript.pyannote[1098].speaker SPEAKER_03
transcript.pyannote[1098].start 6736.54784375
transcript.pyannote[1098].end 6737.91471875
transcript.pyannote[1099].speaker SPEAKER_03
transcript.pyannote[1099].start 6738.43784375
transcript.pyannote[1099].end 6739.73721875
transcript.pyannote[1100].speaker SPEAKER_03
transcript.pyannote[1100].start 6740.34471875
transcript.pyannote[1100].end 6740.98596875
transcript.pyannote[1101].speaker SPEAKER_10
transcript.pyannote[1101].start 6741.61034375
transcript.pyannote[1101].end 6748.24221875
transcript.pyannote[1102].speaker SPEAKER_03
transcript.pyannote[1102].start 6746.30159375
transcript.pyannote[1102].end 6746.67284375
transcript.pyannote[1103].speaker SPEAKER_03
transcript.pyannote[1103].start 6748.24221875
transcript.pyannote[1103].end 6748.27596875
transcript.pyannote[1104].speaker SPEAKER_10
transcript.pyannote[1104].start 6748.27596875
transcript.pyannote[1104].end 6748.37721875
transcript.pyannote[1105].speaker SPEAKER_03
transcript.pyannote[1105].start 6748.37721875
transcript.pyannote[1105].end 6750.09846875
transcript.pyannote[1106].speaker SPEAKER_03
transcript.pyannote[1106].start 6750.62159375
transcript.pyannote[1106].end 6753.87846875
transcript.pyannote[1107].speaker SPEAKER_03
transcript.pyannote[1107].start 6754.50284375
transcript.pyannote[1107].end 6755.36346875
transcript.pyannote[1108].speaker SPEAKER_03
transcript.pyannote[1108].start 6756.47721875
transcript.pyannote[1108].end 6756.94971875
transcript.pyannote[1109].speaker SPEAKER_03
transcript.pyannote[1109].start 6757.70909375
transcript.pyannote[1109].end 6769.62284375
transcript.pyannote[1110].speaker SPEAKER_03
transcript.pyannote[1110].start 6770.02784375
transcript.pyannote[1110].end 6771.85034375
transcript.pyannote[1111].speaker SPEAKER_03
transcript.pyannote[1111].start 6771.96846875
transcript.pyannote[1111].end 6775.49534375
transcript.pyannote[1112].speaker SPEAKER_03
transcript.pyannote[1112].start 6775.66409375
transcript.pyannote[1112].end 6783.54471875
transcript.pyannote[1113].speaker SPEAKER_03
transcript.pyannote[1113].start 6783.79784375
transcript.pyannote[1113].end 6788.38784375
transcript.pyannote[1114].speaker SPEAKER_03
transcript.pyannote[1114].start 6788.74221875
transcript.pyannote[1114].end 6797.07846875
transcript.pyannote[1115].speaker SPEAKER_03
transcript.pyannote[1115].start 6797.43284375
transcript.pyannote[1115].end 6804.36846875
transcript.pyannote[1116].speaker SPEAKER_03
transcript.pyannote[1116].start 6804.80721875
transcript.pyannote[1116].end 6805.70159375
transcript.pyannote[1117].speaker SPEAKER_03
transcript.pyannote[1117].start 6806.12346875
transcript.pyannote[1117].end 6807.67596875
transcript.pyannote[1118].speaker SPEAKER_03
transcript.pyannote[1118].start 6808.58721875
transcript.pyannote[1118].end 6809.43096875
transcript.pyannote[1119].speaker SPEAKER_10
transcript.pyannote[1119].start 6808.68846875
transcript.pyannote[1119].end 6809.34659375
transcript.pyannote[1120].speaker SPEAKER_10
transcript.pyannote[1120].start 6809.43096875
transcript.pyannote[1120].end 6811.00034375
transcript.pyannote[1121].speaker SPEAKER_03
transcript.pyannote[1121].start 6811.54034375
transcript.pyannote[1121].end 6813.04221875
transcript.pyannote[1122].speaker SPEAKER_03
transcript.pyannote[1122].start 6813.19409375
transcript.pyannote[1122].end 6816.80534375
transcript.pyannote[1123].speaker SPEAKER_03
transcript.pyannote[1123].start 6817.17659375
transcript.pyannote[1123].end 6818.30721875
transcript.pyannote[1124].speaker SPEAKER_10
transcript.pyannote[1124].start 6817.80096875
transcript.pyannote[1124].end 6819.45471875
transcript.pyannote[1125].speaker SPEAKER_03
transcript.pyannote[1125].start 6818.81346875
transcript.pyannote[1125].end 6820.88909375
transcript.pyannote[1126].speaker SPEAKER_03
transcript.pyannote[1126].start 6821.93534375
transcript.pyannote[1126].end 6829.14096875
transcript.pyannote[1127].speaker SPEAKER_03
transcript.pyannote[1127].start 6830.11971875
transcript.pyannote[1127].end 6831.60471875
transcript.pyannote[1128].speaker SPEAKER_10
transcript.pyannote[1128].start 6831.82409375
transcript.pyannote[1128].end 6837.37596875
transcript.pyannote[1129].speaker SPEAKER_10
transcript.pyannote[1129].start 6837.76409375
transcript.pyannote[1129].end 6838.03409375
transcript.pyannote[1130].speaker SPEAKER_03
transcript.pyannote[1130].start 6838.03409375
transcript.pyannote[1130].end 6841.13909375
transcript.pyannote[1131].speaker SPEAKER_03
transcript.pyannote[1131].start 6841.81409375
transcript.pyannote[1131].end 6846.77534375
transcript.pyannote[1132].speaker SPEAKER_03
transcript.pyannote[1132].start 6846.80909375
transcript.pyannote[1132].end 6856.27596875
transcript.pyannote[1133].speaker SPEAKER_03
transcript.pyannote[1133].start 6857.27159375
transcript.pyannote[1133].end 6857.69346875
transcript.pyannote[1134].speaker SPEAKER_03
transcript.pyannote[1134].start 6858.43596875
transcript.pyannote[1134].end 6859.61721875
transcript.pyannote[1135].speaker SPEAKER_10
transcript.pyannote[1135].start 6860.07284375
transcript.pyannote[1135].end 6861.62534375
transcript.pyannote[1136].speaker SPEAKER_03
transcript.pyannote[1136].start 6861.37221875
transcript.pyannote[1136].end 6863.11034375
transcript.pyannote[1137].speaker SPEAKER_10
transcript.pyannote[1137].start 6863.27909375
transcript.pyannote[1137].end 6868.24034375
transcript.pyannote[1138].speaker SPEAKER_03
transcript.pyannote[1138].start 6865.89471875
transcript.pyannote[1138].end 6866.56971875
transcript.pyannote[1139].speaker SPEAKER_03
transcript.pyannote[1139].start 6867.17721875
transcript.pyannote[1139].end 6867.19409375
transcript.pyannote[1140].speaker SPEAKER_03
transcript.pyannote[1140].start 6867.24471875
transcript.pyannote[1140].end 6867.39659375
transcript.pyannote[1141].speaker SPEAKER_10
transcript.pyannote[1141].start 6868.76346875
transcript.pyannote[1141].end 6875.85096875
transcript.pyannote[1142].speaker SPEAKER_03
transcript.pyannote[1142].start 6870.77159375
transcript.pyannote[1142].end 6871.88534375
transcript.pyannote[1143].speaker SPEAKER_03
transcript.pyannote[1143].start 6875.85096875
transcript.pyannote[1143].end 6883.63034375
transcript.pyannote[1144].speaker SPEAKER_10
transcript.pyannote[1144].start 6880.10346875
transcript.pyannote[1144].end 6890.17784375
transcript.pyannote[1145].speaker SPEAKER_03
transcript.pyannote[1145].start 6884.76096875
transcript.pyannote[1145].end 6886.17846875
transcript.pyannote[1146].speaker SPEAKER_03
transcript.pyannote[1146].start 6886.92096875
transcript.pyannote[1146].end 6888.37221875
transcript.pyannote[1147].speaker SPEAKER_03
transcript.pyannote[1147].start 6889.31721875
transcript.pyannote[1147].end 6898.21034375
transcript.pyannote[1148].speaker SPEAKER_03
transcript.pyannote[1148].start 6898.44659375
transcript.pyannote[1148].end 6900.64034375
transcript.pyannote[1149].speaker SPEAKER_10
transcript.pyannote[1149].start 6903.08721875
transcript.pyannote[1149].end 6905.56784375
transcript.pyannote[1150].speaker SPEAKER_03
transcript.pyannote[1150].start 6903.13784375
transcript.pyannote[1150].end 6903.72846875
transcript.pyannote[1151].speaker SPEAKER_03
transcript.pyannote[1151].start 6905.56784375
transcript.pyannote[1151].end 6909.44909375
transcript.pyannote[1152].speaker SPEAKER_03
transcript.pyannote[1152].start 6909.76971875
transcript.pyannote[1152].end 6913.04346875
transcript.pyannote[1153].speaker SPEAKER_03
transcript.pyannote[1153].start 6914.00534375
transcript.pyannote[1153].end 6922.20659375
transcript.pyannote[1154].speaker SPEAKER_03
transcript.pyannote[1154].start 6922.54409375
transcript.pyannote[1154].end 6924.61971875
transcript.pyannote[1155].speaker SPEAKER_03
transcript.pyannote[1155].start 6925.22721875
transcript.pyannote[1155].end 6925.58159375
transcript.pyannote[1156].speaker SPEAKER_03
transcript.pyannote[1156].start 6926.17221875
transcript.pyannote[1156].end 6927.18471875
transcript.pyannote[1157].speaker SPEAKER_10
transcript.pyannote[1157].start 6928.11284375
transcript.pyannote[1157].end 6931.55534375
transcript.pyannote[1158].speaker SPEAKER_03
transcript.pyannote[1158].start 6931.55534375
transcript.pyannote[1158].end 6931.89284375
transcript.pyannote[1159].speaker SPEAKER_03
transcript.pyannote[1159].start 6932.60159375
transcript.pyannote[1159].end 6940.97159375
transcript.pyannote[1160].speaker SPEAKER_10
transcript.pyannote[1160].start 6937.57971875
transcript.pyannote[1160].end 6938.86221875
transcript.pyannote[1161].speaker SPEAKER_10
transcript.pyannote[1161].start 6939.41909375
transcript.pyannote[1161].end 6940.87034375
transcript.pyannote[1162].speaker SPEAKER_10
transcript.pyannote[1162].start 6940.97159375
transcript.pyannote[1162].end 6943.58721875
transcript.pyannote[1163].speaker SPEAKER_10
transcript.pyannote[1163].start 6944.34659375
transcript.pyannote[1163].end 6955.26471875
transcript.pyannote[1164].speaker SPEAKER_10
transcript.pyannote[1164].start 6955.29846875
transcript.pyannote[1164].end 6962.33534375
transcript.pyannote[1165].speaker SPEAKER_03
transcript.pyannote[1165].start 6956.54721875
transcript.pyannote[1165].end 6959.23034375
transcript.pyannote[1166].speaker SPEAKER_03
transcript.pyannote[1166].start 6959.85471875
transcript.pyannote[1166].end 6961.30596875
transcript.pyannote[1167].speaker SPEAKER_03
transcript.pyannote[1167].start 6961.57596875
transcript.pyannote[1167].end 6970.95846875
transcript.pyannote[1168].speaker SPEAKER_03
transcript.pyannote[1168].start 6971.26221875
transcript.pyannote[1168].end 6971.97096875
transcript.pyannote[1169].speaker SPEAKER_10
transcript.pyannote[1169].start 6973.15221875
transcript.pyannote[1169].end 6976.07159375
transcript.pyannote[1170].speaker SPEAKER_03
transcript.pyannote[1170].start 6975.39659375
transcript.pyannote[1170].end 6976.44284375
transcript.pyannote[1171].speaker SPEAKER_03
transcript.pyannote[1171].start 6976.64534375
transcript.pyannote[1171].end 6980.39159375
transcript.pyannote[1172].speaker SPEAKER_03
transcript.pyannote[1172].start 6980.64471875
transcript.pyannote[1172].end 7012.40346875
transcript.pyannote[1173].speaker SPEAKER_00
transcript.pyannote[1173].start 6985.38659375
transcript.pyannote[1173].end 6985.42034375
transcript.pyannote[1174].speaker SPEAKER_27
transcript.pyannote[1174].start 6985.42034375
transcript.pyannote[1174].end 6986.19659375
transcript.pyannote[1175].speaker SPEAKER_03
transcript.pyannote[1175].start 7012.58909375
transcript.pyannote[1175].end 7026.29159375
transcript.pyannote[1176].speaker SPEAKER_10
transcript.pyannote[1176].start 7027.72596875
transcript.pyannote[1176].end 7056.64971875
transcript.pyannote[1177].speaker SPEAKER_27
transcript.pyannote[1177].start 7040.09534375
transcript.pyannote[1177].end 7041.09096875
transcript.pyannote[1178].speaker SPEAKER_03
transcript.pyannote[1178].start 7054.43909375
transcript.pyannote[1178].end 7054.79346875
transcript.pyannote[1179].speaker SPEAKER_03
transcript.pyannote[1179].start 7055.09721875
transcript.pyannote[1179].end 7066.30221875
transcript.pyannote[1180].speaker SPEAKER_03
transcript.pyannote[1180].start 7068.83346875
transcript.pyannote[1180].end 7069.20471875
transcript.pyannote[1181].speaker SPEAKER_16
transcript.pyannote[1181].start 7069.44096875
transcript.pyannote[1181].end 7069.96409375
transcript.pyannote[1182].speaker SPEAKER_16
transcript.pyannote[1182].start 7070.09909375
transcript.pyannote[1182].end 7070.41971875
transcript.pyannote[1183].speaker SPEAKER_16
transcript.pyannote[1183].start 7072.17471875
transcript.pyannote[1183].end 7074.21659375
transcript.pyannote[1184].speaker SPEAKER_16
transcript.pyannote[1184].start 7074.85784375
transcript.pyannote[1184].end 7078.04721875
transcript.pyannote[1185].speaker SPEAKER_29
transcript.pyannote[1185].start 7087.21034375
transcript.pyannote[1185].end 7088.45909375
transcript.pyannote[1186].speaker SPEAKER_29
transcript.pyannote[1186].start 7088.98221875
transcript.pyannote[1186].end 7092.79596875
transcript.pyannote[1187].speaker SPEAKER_29
transcript.pyannote[1187].start 7093.13346875
transcript.pyannote[1187].end 7094.65221875
transcript.pyannote[1188].speaker SPEAKER_29
transcript.pyannote[1188].start 7095.10784375
transcript.pyannote[1188].end 7098.48284375
transcript.pyannote[1189].speaker SPEAKER_29
transcript.pyannote[1189].start 7103.54534375
transcript.pyannote[1189].end 7104.89534375
transcript.pyannote[1190].speaker SPEAKER_29
transcript.pyannote[1190].start 7105.51971875
transcript.pyannote[1190].end 7108.74284375
transcript.pyannote[1191].speaker SPEAKER_29
transcript.pyannote[1191].start 7108.96221875
transcript.pyannote[1191].end 7111.02096875
transcript.pyannote[1192].speaker SPEAKER_29
transcript.pyannote[1192].start 7111.84784375
transcript.pyannote[1192].end 7113.94034375
transcript.pyannote[1193].speaker SPEAKER_29
transcript.pyannote[1193].start 7114.07534375
transcript.pyannote[1193].end 7116.87659375
transcript.pyannote[1194].speaker SPEAKER_29
transcript.pyannote[1194].start 7117.39971875
transcript.pyannote[1194].end 7119.86346875
transcript.pyannote[1195].speaker SPEAKER_29
transcript.pyannote[1195].start 7121.17971875
transcript.pyannote[1195].end 7125.33096875
transcript.pyannote[1196].speaker SPEAKER_29
transcript.pyannote[1196].start 7126.12409375
transcript.pyannote[1196].end 7130.84909375
transcript.pyannote[1197].speaker SPEAKER_29
transcript.pyannote[1197].start 7131.38909375
transcript.pyannote[1197].end 7136.40096875
transcript.pyannote[1198].speaker SPEAKER_29
transcript.pyannote[1198].start 7136.56971875
transcript.pyannote[1198].end 7148.71971875
transcript.pyannote[1199].speaker SPEAKER_29
transcript.pyannote[1199].start 7149.24284375
transcript.pyannote[1199].end 7152.82034375
transcript.pyannote[1200].speaker SPEAKER_29
transcript.pyannote[1200].start 7152.85409375
transcript.pyannote[1200].end 7153.10721875
transcript.pyannote[1201].speaker SPEAKER_29
transcript.pyannote[1201].start 7153.91721875
transcript.pyannote[1201].end 7154.44034375
transcript.pyannote[1202].speaker SPEAKER_29
transcript.pyannote[1202].start 7154.91284375
transcript.pyannote[1202].end 7155.40221875
transcript.pyannote[1203].speaker SPEAKER_29
transcript.pyannote[1203].start 7156.09409375
transcript.pyannote[1203].end 7159.65471875
transcript.pyannote[1204].speaker SPEAKER_29
transcript.pyannote[1204].start 7160.59971875
transcript.pyannote[1204].end 7162.05096875
transcript.pyannote[1205].speaker SPEAKER_29
transcript.pyannote[1205].start 7162.62471875
transcript.pyannote[1205].end 7164.73409375
transcript.pyannote[1206].speaker SPEAKER_29
transcript.pyannote[1206].start 7165.13909375
transcript.pyannote[1206].end 7191.64971875
transcript.pyannote[1207].speaker SPEAKER_29
transcript.pyannote[1207].start 7193.23596875
transcript.pyannote[1207].end 7193.92784375
transcript.pyannote[1208].speaker SPEAKER_29
transcript.pyannote[1208].start 7194.09659375
transcript.pyannote[1208].end 7194.97409375
transcript.pyannote[1209].speaker SPEAKER_10
transcript.pyannote[1209].start 7194.97409375
transcript.pyannote[1209].end 7195.17659375
transcript.pyannote[1210].speaker SPEAKER_10
transcript.pyannote[1210].start 7195.48034375
transcript.pyannote[1210].end 7196.27346875
transcript.pyannote[1211].speaker SPEAKER_10
transcript.pyannote[1211].start 7197.01596875
transcript.pyannote[1211].end 7227.15471875
transcript.pyannote[1212].speaker SPEAKER_29
transcript.pyannote[1212].start 7219.18971875
transcript.pyannote[1212].end 7231.67721875
transcript.pyannote[1213].speaker SPEAKER_29
transcript.pyannote[1213].start 7232.16659375
transcript.pyannote[1213].end 7233.12846875
transcript.pyannote[1214].speaker SPEAKER_29
transcript.pyannote[1214].start 7234.09034375
transcript.pyannote[1214].end 7234.78221875
transcript.pyannote[1215].speaker SPEAKER_29
transcript.pyannote[1215].start 7235.18721875
transcript.pyannote[1215].end 7236.33471875
transcript.pyannote[1216].speaker SPEAKER_29
transcript.pyannote[1216].start 7236.50346875
transcript.pyannote[1216].end 7236.82409375
transcript.pyannote[1217].speaker SPEAKER_29
transcript.pyannote[1217].start 7237.16159375
transcript.pyannote[1217].end 7237.71846875
transcript.pyannote[1218].speaker SPEAKER_29
transcript.pyannote[1218].start 7238.37659375
transcript.pyannote[1218].end 7239.74346875
transcript.pyannote[1219].speaker SPEAKER_29
transcript.pyannote[1219].start 7240.53659375
transcript.pyannote[1219].end 7241.75159375
transcript.pyannote[1220].speaker SPEAKER_29
transcript.pyannote[1220].start 7241.88659375
transcript.pyannote[1220].end 7243.21971875
transcript.pyannote[1221].speaker SPEAKER_29
transcript.pyannote[1221].start 7244.21534375
transcript.pyannote[1221].end 7245.73409375
transcript.pyannote[1222].speaker SPEAKER_29
transcript.pyannote[1222].start 7246.00409375
transcript.pyannote[1222].end 7248.99096875
transcript.pyannote[1223].speaker SPEAKER_29
transcript.pyannote[1223].start 7249.29471875
transcript.pyannote[1223].end 7250.98221875
transcript.pyannote[1224].speaker SPEAKER_29
transcript.pyannote[1224].start 7252.21409375
transcript.pyannote[1224].end 7256.53409375
transcript.pyannote[1225].speaker SPEAKER_29
transcript.pyannote[1225].start 7257.12471875
transcript.pyannote[1225].end 7258.45784375
transcript.pyannote[1226].speaker SPEAKER_29
transcript.pyannote[1226].start 7258.55909375
transcript.pyannote[1226].end 7261.02284375
transcript.pyannote[1227].speaker SPEAKER_29
transcript.pyannote[1227].start 7261.56284375
transcript.pyannote[1227].end 7264.31346875
transcript.pyannote[1228].speaker SPEAKER_29
transcript.pyannote[1228].start 7265.20784375
transcript.pyannote[1228].end 7268.65034375
transcript.pyannote[1229].speaker SPEAKER_29
transcript.pyannote[1229].start 7269.32534375
transcript.pyannote[1229].end 7270.89471875
transcript.pyannote[1230].speaker SPEAKER_29
transcript.pyannote[1230].start 7271.67096875
transcript.pyannote[1230].end 7272.41346875
transcript.pyannote[1231].speaker SPEAKER_29
transcript.pyannote[1231].start 7272.76784375
transcript.pyannote[1231].end 7273.79721875
transcript.pyannote[1232].speaker SPEAKER_29
transcript.pyannote[1232].start 7274.37096875
transcript.pyannote[1232].end 7278.58971875
transcript.pyannote[1233].speaker SPEAKER_29
transcript.pyannote[1233].start 7279.18034375
transcript.pyannote[1233].end 7282.31909375
transcript.pyannote[1234].speaker SPEAKER_29
transcript.pyannote[1234].start 7282.89284375
transcript.pyannote[1234].end 7286.30159375
transcript.pyannote[1235].speaker SPEAKER_29
transcript.pyannote[1235].start 7286.79096875
transcript.pyannote[1235].end 7289.20409375
transcript.pyannote[1236].speaker SPEAKER_29
transcript.pyannote[1236].start 7289.84534375
transcript.pyannote[1236].end 7291.58346875
transcript.pyannote[1237].speaker SPEAKER_29
transcript.pyannote[1237].start 7292.15721875
transcript.pyannote[1237].end 7294.82346875
transcript.pyannote[1238].speaker SPEAKER_29
transcript.pyannote[1238].start 7295.26221875
transcript.pyannote[1238].end 7298.41784375
transcript.pyannote[1239].speaker SPEAKER_29
transcript.pyannote[1239].start 7298.99159375
transcript.pyannote[1239].end 7300.99971875
transcript.pyannote[1240].speaker SPEAKER_29
transcript.pyannote[1240].start 7301.64096875
transcript.pyannote[1240].end 7304.18909375
transcript.pyannote[1241].speaker SPEAKER_29
transcript.pyannote[1241].start 7304.45909375
transcript.pyannote[1241].end 7306.75409375
transcript.pyannote[1242].speaker SPEAKER_29
transcript.pyannote[1242].start 7307.24346875
transcript.pyannote[1242].end 7308.98159375
transcript.pyannote[1243].speaker SPEAKER_29
transcript.pyannote[1243].start 7309.38659375
transcript.pyannote[1243].end 7310.66909375
transcript.pyannote[1244].speaker SPEAKER_29
transcript.pyannote[1244].start 7312.37346875
transcript.pyannote[1244].end 7313.60534375
transcript.pyannote[1245].speaker SPEAKER_29
transcript.pyannote[1245].start 7314.38159375
transcript.pyannote[1245].end 7315.69784375
transcript.pyannote[1246].speaker SPEAKER_29
transcript.pyannote[1246].start 7316.22096875
transcript.pyannote[1246].end 7316.82846875
transcript.pyannote[1247].speaker SPEAKER_29
transcript.pyannote[1247].start 7317.13221875
transcript.pyannote[1247].end 7318.29659375
transcript.pyannote[1248].speaker SPEAKER_29
transcript.pyannote[1248].start 7318.61721875
transcript.pyannote[1248].end 7321.45221875
transcript.pyannote[1249].speaker SPEAKER_29
transcript.pyannote[1249].start 7322.09346875
transcript.pyannote[1249].end 7324.64159375
transcript.pyannote[1250].speaker SPEAKER_29
transcript.pyannote[1250].start 7325.13096875
transcript.pyannote[1250].end 7325.53596875
transcript.pyannote[1251].speaker SPEAKER_29
transcript.pyannote[1251].start 7326.80159375
transcript.pyannote[1251].end 7328.11784375
transcript.pyannote[1252].speaker SPEAKER_29
transcript.pyannote[1252].start 7329.04596875
transcript.pyannote[1252].end 7330.96971875
transcript.pyannote[1253].speaker SPEAKER_10
transcript.pyannote[1253].start 7330.96971875
transcript.pyannote[1253].end 7331.02034375
transcript.pyannote[1254].speaker SPEAKER_29
transcript.pyannote[1254].start 7332.89346875
transcript.pyannote[1254].end 7332.91034375
transcript.pyannote[1255].speaker SPEAKER_10
transcript.pyannote[1255].start 7332.91034375
transcript.pyannote[1255].end 7336.65659375
transcript.pyannote[1256].speaker SPEAKER_10
transcript.pyannote[1256].start 7337.28096875
transcript.pyannote[1256].end 7340.14971875
transcript.pyannote[1257].speaker SPEAKER_29
transcript.pyannote[1257].start 7337.50034375
transcript.pyannote[1257].end 7344.11534375
transcript.pyannote[1258].speaker SPEAKER_29
transcript.pyannote[1258].start 7344.40221875
transcript.pyannote[1258].end 7348.92471875
transcript.pyannote[1259].speaker SPEAKER_29
transcript.pyannote[1259].start 7349.31284375
transcript.pyannote[1259].end 7351.50659375
transcript.pyannote[1260].speaker SPEAKER_29
transcript.pyannote[1260].start 7352.02971875
transcript.pyannote[1260].end 7353.78471875
transcript.pyannote[1261].speaker SPEAKER_29
transcript.pyannote[1261].start 7354.61159375
transcript.pyannote[1261].end 7362.67784375
transcript.pyannote[1262].speaker SPEAKER_29
transcript.pyannote[1262].start 7363.33596875
transcript.pyannote[1262].end 7364.77034375
transcript.pyannote[1263].speaker SPEAKER_29
transcript.pyannote[1263].start 7365.31034375
transcript.pyannote[1263].end 7366.57596875
transcript.pyannote[1264].speaker SPEAKER_29
transcript.pyannote[1264].start 7367.21721875
transcript.pyannote[1264].end 7368.88784375
transcript.pyannote[1265].speaker SPEAKER_29
transcript.pyannote[1265].start 7369.63034375
transcript.pyannote[1265].end 7373.32596875
transcript.pyannote[1266].speaker SPEAKER_29
transcript.pyannote[1266].start 7373.89971875
transcript.pyannote[1266].end 7380.54846875
transcript.pyannote[1267].speaker SPEAKER_29
transcript.pyannote[1267].start 7381.32471875
transcript.pyannote[1267].end 7382.42159375
transcript.pyannote[1268].speaker SPEAKER_29
transcript.pyannote[1268].start 7382.57346875
transcript.pyannote[1268].end 7384.15971875
transcript.pyannote[1269].speaker SPEAKER_29
transcript.pyannote[1269].start 7384.32846875
transcript.pyannote[1269].end 7385.23971875
transcript.pyannote[1270].speaker SPEAKER_29
transcript.pyannote[1270].start 7385.69534375
transcript.pyannote[1270].end 7388.00721875
transcript.pyannote[1271].speaker SPEAKER_29
transcript.pyannote[1271].start 7388.36159375
transcript.pyannote[1271].end 7392.74909375
transcript.pyannote[1272].speaker SPEAKER_29
transcript.pyannote[1272].start 7393.47471875
transcript.pyannote[1272].end 7394.43659375
transcript.pyannote[1273].speaker SPEAKER_29
transcript.pyannote[1273].start 7395.55034375
transcript.pyannote[1273].end 7397.99721875
transcript.pyannote[1274].speaker SPEAKER_29
transcript.pyannote[1274].start 7398.70596875
transcript.pyannote[1274].end 7400.15721875
transcript.pyannote[1275].speaker SPEAKER_29
transcript.pyannote[1275].start 7400.88284375
transcript.pyannote[1275].end 7401.69284375
transcript.pyannote[1276].speaker SPEAKER_29
transcript.pyannote[1276].start 7402.53659375
transcript.pyannote[1276].end 7406.58659375
transcript.pyannote[1277].speaker SPEAKER_29
transcript.pyannote[1277].start 7406.89034375
transcript.pyannote[1277].end 7408.74659375
transcript.pyannote[1278].speaker SPEAKER_29
transcript.pyannote[1278].start 7409.43846875
transcript.pyannote[1278].end 7411.12596875
transcript.pyannote[1279].speaker SPEAKER_29
transcript.pyannote[1279].start 7411.63221875
transcript.pyannote[1279].end 7417.70721875
transcript.pyannote[1280].speaker SPEAKER_29
transcript.pyannote[1280].start 7417.87596875
transcript.pyannote[1280].end 7421.72346875
transcript.pyannote[1281].speaker SPEAKER_29
transcript.pyannote[1281].start 7422.11159375
transcript.pyannote[1281].end 7423.83284375
transcript.pyannote[1282].speaker SPEAKER_29
transcript.pyannote[1282].start 7423.91721875
transcript.pyannote[1282].end 7425.50346875
transcript.pyannote[1283].speaker SPEAKER_29
transcript.pyannote[1283].start 7426.34721875
transcript.pyannote[1283].end 7427.47784375
transcript.pyannote[1284].speaker SPEAKER_29
transcript.pyannote[1284].start 7428.23721875
transcript.pyannote[1284].end 7431.66284375
transcript.pyannote[1285].speaker SPEAKER_29
transcript.pyannote[1285].start 7432.15221875
transcript.pyannote[1285].end 7434.02534375
transcript.pyannote[1286].speaker SPEAKER_29
transcript.pyannote[1286].start 7434.39659375
transcript.pyannote[1286].end 7437.43409375
transcript.pyannote[1287].speaker SPEAKER_29
transcript.pyannote[1287].start 7437.99096875
transcript.pyannote[1287].end 7443.84659375
transcript.pyannote[1288].speaker SPEAKER_00
transcript.pyannote[1288].start 7438.44659375
transcript.pyannote[1288].end 7438.49721875
transcript.pyannote[1289].speaker SPEAKER_27
transcript.pyannote[1289].start 7438.49721875
transcript.pyannote[1289].end 7439.79659375
transcript.pyannote[1290].speaker SPEAKER_27
transcript.pyannote[1290].start 7442.69909375
transcript.pyannote[1290].end 7443.10409375
transcript.pyannote[1291].speaker SPEAKER_29
transcript.pyannote[1291].start 7444.16721875
transcript.pyannote[1291].end 7444.87596875
transcript.pyannote[1292].speaker SPEAKER_29
transcript.pyannote[1292].start 7445.36534375
transcript.pyannote[1292].end 7446.39471875
transcript.pyannote[1293].speaker SPEAKER_29
transcript.pyannote[1293].start 7447.59284375
transcript.pyannote[1293].end 7450.59659375
transcript.pyannote[1294].speaker SPEAKER_29
transcript.pyannote[1294].start 7451.33909375
transcript.pyannote[1294].end 7452.70596875
transcript.pyannote[1295].speaker SPEAKER_29
transcript.pyannote[1295].start 7453.63409375
transcript.pyannote[1295].end 7454.49471875
transcript.pyannote[1296].speaker SPEAKER_29
transcript.pyannote[1296].start 7455.10221875
transcript.pyannote[1296].end 7456.55346875
transcript.pyannote[1297].speaker SPEAKER_29
transcript.pyannote[1297].start 7457.16096875
transcript.pyannote[1297].end 7458.51096875
transcript.pyannote[1298].speaker SPEAKER_29
transcript.pyannote[1298].start 7459.55721875
transcript.pyannote[1298].end 7463.13471875
transcript.pyannote[1299].speaker SPEAKER_29
transcript.pyannote[1299].start 7463.92784375
transcript.pyannote[1299].end 7465.81784375
transcript.pyannote[1300].speaker SPEAKER_29
transcript.pyannote[1300].start 7466.40846875
transcript.pyannote[1300].end 7468.51784375
transcript.pyannote[1301].speaker SPEAKER_29
transcript.pyannote[1301].start 7469.80034375
transcript.pyannote[1301].end 7473.78284375
transcript.pyannote[1302].speaker SPEAKER_29
transcript.pyannote[1302].start 7474.64346875
transcript.pyannote[1302].end 7475.62221875
transcript.pyannote[1303].speaker SPEAKER_29
transcript.pyannote[1303].start 7476.02721875
transcript.pyannote[1303].end 7478.77784375
transcript.pyannote[1304].speaker SPEAKER_29
transcript.pyannote[1304].start 7479.14909375
transcript.pyannote[1304].end 7480.65096875
transcript.pyannote[1305].speaker SPEAKER_29
transcript.pyannote[1305].start 7480.78596875
transcript.pyannote[1305].end 7483.38471875
transcript.pyannote[1306].speaker SPEAKER_29
transcript.pyannote[1306].start 7484.00909375
transcript.pyannote[1306].end 7486.92846875
transcript.pyannote[1307].speaker SPEAKER_29
transcript.pyannote[1307].start 7487.13096875
transcript.pyannote[1307].end 7489.39221875
transcript.pyannote[1308].speaker SPEAKER_29
transcript.pyannote[1308].start 7490.30346875
transcript.pyannote[1308].end 7491.06284375
transcript.pyannote[1309].speaker SPEAKER_29
transcript.pyannote[1309].start 7491.18096875
transcript.pyannote[1309].end 7491.88971875
transcript.pyannote[1310].speaker SPEAKER_29
transcript.pyannote[1310].start 7492.51409375
transcript.pyannote[1310].end 7493.17221875
transcript.pyannote[1311].speaker SPEAKER_29
transcript.pyannote[1311].start 7493.40846875
transcript.pyannote[1311].end 7494.99471875
transcript.pyannote[1312].speaker SPEAKER_29
transcript.pyannote[1312].start 7495.75409375
transcript.pyannote[1312].end 7500.04034375
transcript.pyannote[1313].speaker SPEAKER_29
transcript.pyannote[1313].start 7501.08659375
transcript.pyannote[1313].end 7503.92159375
transcript.pyannote[1314].speaker SPEAKER_29
transcript.pyannote[1314].start 7505.30534375
transcript.pyannote[1314].end 7509.62534375
transcript.pyannote[1315].speaker SPEAKER_29
transcript.pyannote[1315].start 7510.90784375
transcript.pyannote[1315].end 7512.12284375
transcript.pyannote[1316].speaker SPEAKER_29
transcript.pyannote[1316].start 7513.00034375
transcript.pyannote[1316].end 7515.44721875
transcript.pyannote[1317].speaker SPEAKER_29
transcript.pyannote[1317].start 7515.64971875
transcript.pyannote[1317].end 7520.27346875
transcript.pyannote[1318].speaker SPEAKER_29
transcript.pyannote[1318].start 7520.81346875
transcript.pyannote[1318].end 7523.86784375
transcript.pyannote[1319].speaker SPEAKER_29
transcript.pyannote[1319].start 7524.61034375
transcript.pyannote[1319].end 7526.85471875
transcript.pyannote[1320].speaker SPEAKER_29
transcript.pyannote[1320].start 7527.24284375
transcript.pyannote[1320].end 7528.03596875
transcript.pyannote[1321].speaker SPEAKER_29
transcript.pyannote[1321].start 7529.06534375
transcript.pyannote[1321].end 7531.51221875
transcript.pyannote[1322].speaker SPEAKER_29
transcript.pyannote[1322].start 7532.37284375
transcript.pyannote[1322].end 7533.53721875
transcript.pyannote[1323].speaker SPEAKER_29
transcript.pyannote[1323].start 7534.75221875
transcript.pyannote[1323].end 7537.62096875
transcript.pyannote[1324].speaker SPEAKER_29
transcript.pyannote[1324].start 7538.07659375
transcript.pyannote[1324].end 7538.68409375
transcript.pyannote[1325].speaker SPEAKER_29
transcript.pyannote[1325].start 7539.15659375
transcript.pyannote[1325].end 7540.87784375
transcript.pyannote[1326].speaker SPEAKER_29
transcript.pyannote[1326].start 7541.60346875
transcript.pyannote[1326].end 7556.65596875
transcript.pyannote[1327].speaker SPEAKER_29
transcript.pyannote[1327].start 7557.76971875
transcript.pyannote[1327].end 7559.67659375
transcript.pyannote[1328].speaker SPEAKER_29
transcript.pyannote[1328].start 7560.18284375
transcript.pyannote[1328].end 7562.84909375
transcript.pyannote[1329].speaker SPEAKER_29
transcript.pyannote[1329].start 7563.37221875
transcript.pyannote[1329].end 7563.82784375
transcript.pyannote[1330].speaker SPEAKER_29
transcript.pyannote[1330].start 7563.94596875
transcript.pyannote[1330].end 7564.40159375
transcript.pyannote[1331].speaker SPEAKER_29
transcript.pyannote[1331].start 7565.19471875
transcript.pyannote[1331].end 7566.35909375
transcript.pyannote[1332].speaker SPEAKER_29
transcript.pyannote[1332].start 7566.61221875
transcript.pyannote[1332].end 7568.19846875
transcript.pyannote[1333].speaker SPEAKER_29
transcript.pyannote[1333].start 7568.58659375
transcript.pyannote[1333].end 7571.57346875
transcript.pyannote[1334].speaker SPEAKER_29
transcript.pyannote[1334].start 7571.96159375
transcript.pyannote[1334].end 7573.58159375
transcript.pyannote[1335].speaker SPEAKER_29
transcript.pyannote[1335].start 7573.71659375
transcript.pyannote[1335].end 7583.03159375
transcript.pyannote[1336].speaker SPEAKER_29
transcript.pyannote[1336].start 7583.70659375
transcript.pyannote[1336].end 7589.44409375
transcript.pyannote[1337].speaker SPEAKER_29
transcript.pyannote[1337].start 7590.08534375
transcript.pyannote[1337].end 7591.28346875
transcript.pyannote[1338].speaker SPEAKER_29
transcript.pyannote[1338].start 7592.34659375
transcript.pyannote[1338].end 7593.89909375
transcript.pyannote[1339].speaker SPEAKER_29
transcript.pyannote[1339].start 7594.72596875
transcript.pyannote[1339].end 7600.63221875
transcript.pyannote[1340].speaker SPEAKER_29
transcript.pyannote[1340].start 7600.93596875
transcript.pyannote[1340].end 7605.82971875
transcript.pyannote[1341].speaker SPEAKER_29
transcript.pyannote[1341].start 7606.52159375
transcript.pyannote[1341].end 7618.53659375
transcript.pyannote[1342].speaker SPEAKER_29
transcript.pyannote[1342].start 7619.12721875
transcript.pyannote[1342].end 7621.40534375
transcript.pyannote[1343].speaker SPEAKER_29
transcript.pyannote[1343].start 7621.54034375
transcript.pyannote[1343].end 7625.16846875
transcript.pyannote[1344].speaker SPEAKER_29
transcript.pyannote[1344].start 7625.70846875
transcript.pyannote[1344].end 7628.59409375
transcript.pyannote[1345].speaker SPEAKER_29
transcript.pyannote[1345].start 7629.28596875
transcript.pyannote[1345].end 7630.53471875
transcript.pyannote[1346].speaker SPEAKER_29
transcript.pyannote[1346].start 7631.22659375
transcript.pyannote[1346].end 7636.44096875
transcript.pyannote[1347].speaker SPEAKER_29
transcript.pyannote[1347].start 7636.81221875
transcript.pyannote[1347].end 7639.30971875
transcript.pyannote[1348].speaker SPEAKER_29
transcript.pyannote[1348].start 7639.61346875
transcript.pyannote[1348].end 7640.65971875
transcript.pyannote[1349].speaker SPEAKER_29
transcript.pyannote[1349].start 7641.43596875
transcript.pyannote[1349].end 7642.19534375
transcript.pyannote[1350].speaker SPEAKER_29
transcript.pyannote[1350].start 7642.43159375
transcript.pyannote[1350].end 7643.39346875
transcript.pyannote[1351].speaker SPEAKER_29
transcript.pyannote[1351].start 7643.86596875
transcript.pyannote[1351].end 7645.06409375
transcript.pyannote[1352].speaker SPEAKER_29
transcript.pyannote[1352].start 7645.19909375
transcript.pyannote[1352].end 7652.50596875
transcript.pyannote[1353].speaker SPEAKER_29
transcript.pyannote[1353].start 7652.91096875
transcript.pyannote[1353].end 7654.05846875
transcript.pyannote[1354].speaker SPEAKER_29
transcript.pyannote[1354].start 7654.78409375
transcript.pyannote[1354].end 7658.44596875
transcript.pyannote[1355].speaker SPEAKER_29
transcript.pyannote[1355].start 7658.90159375
transcript.pyannote[1355].end 7661.53409375
transcript.pyannote[1356].speaker SPEAKER_29
transcript.pyannote[1356].start 7662.25971875
transcript.pyannote[1356].end 7663.74471875
transcript.pyannote[1357].speaker SPEAKER_29
transcript.pyannote[1357].start 7664.06534375
transcript.pyannote[1357].end 7665.48284375
transcript.pyannote[1358].speaker SPEAKER_29
transcript.pyannote[1358].start 7666.17471875
transcript.pyannote[1358].end 7667.57534375
transcript.pyannote[1359].speaker SPEAKER_29
transcript.pyannote[1359].start 7668.25034375
transcript.pyannote[1359].end 7669.44846875
transcript.pyannote[1360].speaker SPEAKER_29
transcript.pyannote[1360].start 7669.95471875
transcript.pyannote[1360].end 7674.12284375
transcript.pyannote[1361].speaker SPEAKER_29
transcript.pyannote[1361].start 7674.46034375
transcript.pyannote[1361].end 7680.88971875
transcript.pyannote[1362].speaker SPEAKER_10
transcript.pyannote[1362].start 7676.80596875
transcript.pyannote[1362].end 7683.60659375
transcript.pyannote[1363].speaker SPEAKER_10
transcript.pyannote[1363].start 7683.89346875
transcript.pyannote[1363].end 7705.08846875
transcript.pyannote[1364].speaker SPEAKER_29
transcript.pyannote[1364].start 7704.63284375
transcript.pyannote[1364].end 7714.75784375
transcript.pyannote[1365].speaker SPEAKER_29
transcript.pyannote[1365].start 7715.70284375
transcript.pyannote[1365].end 7717.10346875
transcript.pyannote[1366].speaker SPEAKER_29
transcript.pyannote[1366].start 7717.98096875
transcript.pyannote[1366].end 7719.80346875
transcript.pyannote[1367].speaker SPEAKER_29
transcript.pyannote[1367].start 7719.97221875
transcript.pyannote[1367].end 7721.82846875
transcript.pyannote[1368].speaker SPEAKER_29
transcript.pyannote[1368].start 7722.53721875
transcript.pyannote[1368].end 7724.19096875
transcript.pyannote[1369].speaker SPEAKER_29
transcript.pyannote[1369].start 7725.22034375
transcript.pyannote[1369].end 7734.21471875
transcript.pyannote[1370].speaker SPEAKER_10
transcript.pyannote[1370].start 7727.07659375
transcript.pyannote[1370].end 7730.67096875
transcript.pyannote[1371].speaker SPEAKER_29
transcript.pyannote[1371].start 7734.63659375
transcript.pyannote[1371].end 7737.28596875
transcript.pyannote[1372].speaker SPEAKER_29
transcript.pyannote[1372].start 7737.85971875
transcript.pyannote[1372].end 7741.15034375
transcript.pyannote[1373].speaker SPEAKER_29
transcript.pyannote[1373].start 7741.45409375
transcript.pyannote[1373].end 7747.14096875
transcript.pyannote[1374].speaker SPEAKER_29
transcript.pyannote[1374].start 7747.44471875
transcript.pyannote[1374].end 7752.38909375
transcript.pyannote[1375].speaker SPEAKER_29
transcript.pyannote[1375].start 7752.76034375
transcript.pyannote[1375].end 7755.88221875
transcript.pyannote[1376].speaker SPEAKER_29
transcript.pyannote[1376].start 7756.20284375
transcript.pyannote[1376].end 7756.27034375
transcript.pyannote[1377].speaker SPEAKER_16
transcript.pyannote[1377].start 7756.27034375
transcript.pyannote[1377].end 7756.32096875
transcript.pyannote[1378].speaker SPEAKER_29
transcript.pyannote[1378].start 7756.32096875
transcript.pyannote[1378].end 7756.50659375
transcript.pyannote[1379].speaker SPEAKER_16
transcript.pyannote[1379].start 7758.53159375
transcript.pyannote[1379].end 7760.82659375
transcript.pyannote[1380].speaker SPEAKER_16
transcript.pyannote[1380].start 7762.09221875
transcript.pyannote[1380].end 7763.94846875
transcript.pyannote[1381].speaker SPEAKER_16
transcript.pyannote[1381].start 7764.57284375
transcript.pyannote[1381].end 7766.64846875
transcript.pyannote[1382].speaker SPEAKER_16
transcript.pyannote[1382].start 7769.28096875
transcript.pyannote[1382].end 7769.65221875
transcript.pyannote[1383].speaker SPEAKER_16
transcript.pyannote[1383].start 7770.04034375
transcript.pyannote[1383].end 7775.94659375
transcript.pyannote[1384].speaker SPEAKER_05
transcript.pyannote[1384].start 7786.39221875
transcript.pyannote[1384].end 7791.85971875
transcript.pyannote[1385].speaker SPEAKER_16
transcript.pyannote[1385].start 7792.41659375
transcript.pyannote[1385].end 7794.39096875
transcript.pyannote[1386].speaker SPEAKER_05
transcript.pyannote[1386].start 7795.74096875
transcript.pyannote[1386].end 7797.10784375
transcript.pyannote[1387].speaker SPEAKER_05
transcript.pyannote[1387].start 7797.25971875
transcript.pyannote[1387].end 7798.25534375
transcript.pyannote[1388].speaker SPEAKER_05
transcript.pyannote[1388].start 7798.86284375
transcript.pyannote[1388].end 7802.87909375
transcript.pyannote[1389].speaker SPEAKER_05
transcript.pyannote[1389].start 7803.31784375
transcript.pyannote[1389].end 7805.95034375
transcript.pyannote[1390].speaker SPEAKER_05
transcript.pyannote[1390].start 7806.82784375
transcript.pyannote[1390].end 7809.08909375
transcript.pyannote[1391].speaker SPEAKER_05
transcript.pyannote[1391].start 7809.62909375
transcript.pyannote[1391].end 7812.73409375
transcript.pyannote[1392].speaker SPEAKER_05
transcript.pyannote[1392].start 7813.20659375
transcript.pyannote[1392].end 7817.42534375
transcript.pyannote[1393].speaker SPEAKER_06
transcript.pyannote[1393].start 7817.94846875
transcript.pyannote[1393].end 7823.34846875
transcript.pyannote[1394].speaker SPEAKER_06
transcript.pyannote[1394].start 7823.61846875
transcript.pyannote[1394].end 7829.18721875
transcript.pyannote[1395].speaker SPEAKER_05
transcript.pyannote[1395].start 7829.18721875
transcript.pyannote[1395].end 7829.81159375
transcript.pyannote[1396].speaker SPEAKER_05
transcript.pyannote[1396].start 7830.11534375
transcript.pyannote[1396].end 7833.25409375
transcript.pyannote[1397].speaker SPEAKER_06
transcript.pyannote[1397].start 7832.25846875
transcript.pyannote[1397].end 7833.10221875
transcript.pyannote[1398].speaker SPEAKER_06
transcript.pyannote[1398].start 7833.25409375
transcript.pyannote[1398].end 7833.55784375
transcript.pyannote[1399].speaker SPEAKER_05
transcript.pyannote[1399].start 7833.55784375
transcript.pyannote[1399].end 7833.84471875
transcript.pyannote[1400].speaker SPEAKER_06
transcript.pyannote[1400].start 7833.84471875
transcript.pyannote[1400].end 7844.18909375
transcript.pyannote[1401].speaker SPEAKER_06
transcript.pyannote[1401].start 7844.98221875
transcript.pyannote[1401].end 7849.53846875
transcript.pyannote[1402].speaker SPEAKER_06
transcript.pyannote[1402].start 7849.63971875
transcript.pyannote[1402].end 7853.38596875
transcript.pyannote[1403].speaker SPEAKER_06
transcript.pyannote[1403].start 7853.70659375
transcript.pyannote[1403].end 7857.53721875
transcript.pyannote[1404].speaker SPEAKER_06
transcript.pyannote[1404].start 7857.87471875
transcript.pyannote[1404].end 7880.25096875
transcript.pyannote[1405].speaker SPEAKER_05
transcript.pyannote[1405].start 7880.25096875
transcript.pyannote[1405].end 7880.94284375
transcript.pyannote[1406].speaker SPEAKER_05
transcript.pyannote[1406].start 7881.49971875
transcript.pyannote[1406].end 7882.17471875
transcript.pyannote[1407].speaker SPEAKER_05
transcript.pyannote[1407].start 7882.49534375
transcript.pyannote[1407].end 7896.67034375
transcript.pyannote[1408].speaker SPEAKER_05
transcript.pyannote[1408].start 7896.85596875
transcript.pyannote[1408].end 7898.96534375
transcript.pyannote[1409].speaker SPEAKER_06
transcript.pyannote[1409].start 7898.96534375
transcript.pyannote[1409].end 7900.21409375
transcript.pyannote[1410].speaker SPEAKER_05
transcript.pyannote[1410].start 7900.21409375
transcript.pyannote[1410].end 7900.23096875
transcript.pyannote[1411].speaker SPEAKER_06
transcript.pyannote[1411].start 7900.46721875
transcript.pyannote[1411].end 7907.45346875
transcript.pyannote[1412].speaker SPEAKER_06
transcript.pyannote[1412].start 7907.67284375
transcript.pyannote[1412].end 7913.03909375
transcript.pyannote[1413].speaker SPEAKER_05
transcript.pyannote[1413].start 7913.03909375
transcript.pyannote[1413].end 7913.64659375
transcript.pyannote[1414].speaker SPEAKER_06
transcript.pyannote[1414].start 7913.64659375
transcript.pyannote[1414].end 7913.83221875
transcript.pyannote[1415].speaker SPEAKER_05
transcript.pyannote[1415].start 7913.83221875
transcript.pyannote[1415].end 7917.64596875
transcript.pyannote[1416].speaker SPEAKER_05
transcript.pyannote[1416].start 7918.01721875
transcript.pyannote[1416].end 7918.38846875
transcript.pyannote[1417].speaker SPEAKER_10
transcript.pyannote[1417].start 7919.13096875
transcript.pyannote[1417].end 7922.72534375
transcript.pyannote[1418].speaker SPEAKER_10
transcript.pyannote[1418].start 7922.97846875
transcript.pyannote[1418].end 7930.40346875
transcript.pyannote[1419].speaker SPEAKER_10
transcript.pyannote[1419].start 7931.24721875
transcript.pyannote[1419].end 7934.74034375
transcript.pyannote[1420].speaker SPEAKER_11
transcript.pyannote[1420].start 7934.99346875
transcript.pyannote[1420].end 7935.22971875
transcript.pyannote[1421].speaker SPEAKER_10
transcript.pyannote[1421].start 7935.22971875
transcript.pyannote[1421].end 7939.51596875
transcript.pyannote[1422].speaker SPEAKER_11
transcript.pyannote[1422].start 7935.24659375
transcript.pyannote[1422].end 7935.33096875
transcript.pyannote[1423].speaker SPEAKER_10
transcript.pyannote[1423].start 7939.87034375
transcript.pyannote[1423].end 7944.32534375
transcript.pyannote[1424].speaker SPEAKER_10
transcript.pyannote[1424].start 7944.74721875
transcript.pyannote[1424].end 7949.55659375
transcript.pyannote[1425].speaker SPEAKER_10
transcript.pyannote[1425].start 7949.67471875
transcript.pyannote[1425].end 7953.53909375
transcript.pyannote[1426].speaker SPEAKER_27
transcript.pyannote[1426].start 7953.80909375
transcript.pyannote[1426].end 7953.84284375
transcript.pyannote[1427].speaker SPEAKER_10
transcript.pyannote[1427].start 7953.84284375
transcript.pyannote[1427].end 7990.36034375
transcript.pyannote[1428].speaker SPEAKER_27
transcript.pyannote[1428].start 7971.98346875
transcript.pyannote[1428].end 7974.81846875
transcript.pyannote[1429].speaker SPEAKER_05
transcript.pyannote[1429].start 7981.09596875
transcript.pyannote[1429].end 7981.11284375
transcript.pyannote[1430].speaker SPEAKER_27
transcript.pyannote[1430].start 7981.11284375
transcript.pyannote[1430].end 7981.55159375
transcript.pyannote[1431].speaker SPEAKER_10
transcript.pyannote[1431].start 7990.41096875
transcript.pyannote[1431].end 7995.62534375
transcript.pyannote[1432].speaker SPEAKER_17
transcript.pyannote[1432].start 7995.50721875
transcript.pyannote[1432].end 7995.57471875
transcript.pyannote[1433].speaker SPEAKER_17
transcript.pyannote[1433].start 7995.62534375
transcript.pyannote[1433].end 7995.70971875
transcript.pyannote[1434].speaker SPEAKER_10
transcript.pyannote[1434].start 7995.70971875
transcript.pyannote[1434].end 8006.22284375
transcript.pyannote[1435].speaker SPEAKER_17
transcript.pyannote[1435].start 7995.74346875
transcript.pyannote[1435].end 7995.84471875
transcript.pyannote[1436].speaker SPEAKER_17
transcript.pyannote[1436].start 8001.75096875
transcript.pyannote[1436].end 8002.05471875
transcript.pyannote[1437].speaker SPEAKER_00
transcript.pyannote[1437].start 8002.05471875
transcript.pyannote[1437].end 8002.15596875
transcript.pyannote[1438].speaker SPEAKER_10
transcript.pyannote[1438].start 8006.57721875
transcript.pyannote[1438].end 8012.71971875
transcript.pyannote[1439].speaker SPEAKER_10
transcript.pyannote[1439].start 8013.46221875
transcript.pyannote[1439].end 8022.23721875
transcript.pyannote[1440].speaker SPEAKER_05
transcript.pyannote[1440].start 8019.18284375
transcript.pyannote[1440].end 8019.68909375
transcript.pyannote[1441].speaker SPEAKER_05
transcript.pyannote[1441].start 8022.52409375
transcript.pyannote[1441].end 8023.21596875
transcript.pyannote[1442].speaker SPEAKER_05
transcript.pyannote[1442].start 8023.51971875
transcript.pyannote[1442].end 8024.90346875
transcript.pyannote[1443].speaker SPEAKER_05
transcript.pyannote[1443].start 8025.27471875
transcript.pyannote[1443].end 8032.22721875
transcript.pyannote[1444].speaker SPEAKER_05
transcript.pyannote[1444].start 8032.76721875
transcript.pyannote[1444].end 8042.90909375
transcript.pyannote[1445].speaker SPEAKER_05
transcript.pyannote[1445].start 8042.94284375
transcript.pyannote[1445].end 8044.47846875
transcript.pyannote[1446].speaker SPEAKER_05
transcript.pyannote[1446].start 8044.88346875
transcript.pyannote[1446].end 8069.55471875
transcript.pyannote[1447].speaker SPEAKER_05
transcript.pyannote[1447].start 8070.36471875
transcript.pyannote[1447].end 8075.14034375
transcript.pyannote[1448].speaker SPEAKER_10
transcript.pyannote[1448].start 8071.10721875
transcript.pyannote[1448].end 8071.66409375
transcript.pyannote[1449].speaker SPEAKER_10
transcript.pyannote[1449].start 8075.24159375
transcript.pyannote[1449].end 8121.91784375
transcript.pyannote[1450].speaker SPEAKER_27
transcript.pyannote[1450].start 8089.48409375
transcript.pyannote[1450].end 8089.51784375
transcript.pyannote[1451].speaker SPEAKER_05
transcript.pyannote[1451].start 8122.45784375
transcript.pyannote[1451].end 8123.08221875
transcript.pyannote[1452].speaker SPEAKER_05
transcript.pyannote[1452].start 8123.40284375
transcript.pyannote[1452].end 8125.29284375
transcript.pyannote[1453].speaker SPEAKER_05
transcript.pyannote[1453].start 8125.69784375
transcript.pyannote[1453].end 8126.87909375
transcript.pyannote[1454].speaker SPEAKER_05
transcript.pyannote[1454].start 8128.41471875
transcript.pyannote[1454].end 8130.08534375
transcript.pyannote[1455].speaker SPEAKER_05
transcript.pyannote[1455].start 8130.62534375
transcript.pyannote[1455].end 8135.11409375
transcript.pyannote[1456].speaker SPEAKER_05
transcript.pyannote[1456].start 8135.29971875
transcript.pyannote[1456].end 8147.78721875
transcript.pyannote[1457].speaker SPEAKER_06
transcript.pyannote[1457].start 8144.76659375
transcript.pyannote[1457].end 8144.78346875
transcript.pyannote[1458].speaker SPEAKER_27
transcript.pyannote[1458].start 8144.78346875
transcript.pyannote[1458].end 8145.47534375
transcript.pyannote[1459].speaker SPEAKER_27
transcript.pyannote[1459].start 8147.90534375
transcript.pyannote[1459].end 8148.04034375
transcript.pyannote[1460].speaker SPEAKER_05
transcript.pyannote[1460].start 8148.37784375
transcript.pyannote[1460].end 8151.17909375
transcript.pyannote[1461].speaker SPEAKER_05
transcript.pyannote[1461].start 8152.30971875
transcript.pyannote[1461].end 8154.92534375
transcript.pyannote[1462].speaker SPEAKER_05
transcript.pyannote[1462].start 8155.21221875
transcript.pyannote[1462].end 8157.28784375
transcript.pyannote[1463].speaker SPEAKER_05
transcript.pyannote[1463].start 8157.45659375
transcript.pyannote[1463].end 8160.78096875
transcript.pyannote[1464].speaker SPEAKER_05
transcript.pyannote[1464].start 8161.21971875
transcript.pyannote[1464].end 8166.55221875
transcript.pyannote[1465].speaker SPEAKER_03
transcript.pyannote[1465].start 8163.43034375
transcript.pyannote[1465].end 8164.10534375
transcript.pyannote[1466].speaker SPEAKER_06
transcript.pyannote[1466].start 8164.10534375
transcript.pyannote[1466].end 8164.12221875
transcript.pyannote[1467].speaker SPEAKER_06
transcript.pyannote[1467].start 8166.55221875
transcript.pyannote[1467].end 8166.72096875
transcript.pyannote[1468].speaker SPEAKER_05
transcript.pyannote[1468].start 8166.72096875
transcript.pyannote[1468].end 8166.92346875
transcript.pyannote[1469].speaker SPEAKER_06
transcript.pyannote[1469].start 8166.92346875
transcript.pyannote[1469].end 8174.92221875
transcript.pyannote[1470].speaker SPEAKER_06
transcript.pyannote[1470].start 8175.12471875
transcript.pyannote[1470].end 8177.97659375
transcript.pyannote[1471].speaker SPEAKER_06
transcript.pyannote[1471].start 8178.53346875
transcript.pyannote[1471].end 8180.03534375
transcript.pyannote[1472].speaker SPEAKER_05
transcript.pyannote[1472].start 8180.03534375
transcript.pyannote[1472].end 8180.22096875
transcript.pyannote[1473].speaker SPEAKER_06
transcript.pyannote[1473].start 8180.76096875
transcript.pyannote[1473].end 8180.77784375
transcript.pyannote[1474].speaker SPEAKER_05
transcript.pyannote[1474].start 8180.77784375
transcript.pyannote[1474].end 8181.97596875
transcript.pyannote[1475].speaker SPEAKER_05
transcript.pyannote[1475].start 8182.34721875
transcript.pyannote[1475].end 8183.64659375
transcript.pyannote[1476].speaker SPEAKER_06
transcript.pyannote[1476].start 8183.64659375
transcript.pyannote[1476].end 8217.37971875
transcript.pyannote[1477].speaker SPEAKER_05
transcript.pyannote[1477].start 8183.68034375
transcript.pyannote[1477].end 8184.92909375
transcript.pyannote[1478].speaker SPEAKER_05
transcript.pyannote[1478].start 8204.99346875
transcript.pyannote[1478].end 8205.70221875
transcript.pyannote[1479].speaker SPEAKER_05
transcript.pyannote[1479].start 8209.65096875
transcript.pyannote[1479].end 8210.22471875
transcript.pyannote[1480].speaker SPEAKER_27
transcript.pyannote[1480].start 8211.08534375
transcript.pyannote[1480].end 8211.13596875
transcript.pyannote[1481].speaker SPEAKER_05
transcript.pyannote[1481].start 8211.15284375
transcript.pyannote[1481].end 8211.45659375
transcript.pyannote[1482].speaker SPEAKER_27
transcript.pyannote[1482].start 8217.63284375
transcript.pyannote[1482].end 8217.64971875
transcript.pyannote[1483].speaker SPEAKER_06
transcript.pyannote[1483].start 8217.64971875
transcript.pyannote[1483].end 8217.78471875
transcript.pyannote[1484].speaker SPEAKER_27
transcript.pyannote[1484].start 8217.78471875
transcript.pyannote[1484].end 8217.88596875
transcript.pyannote[1485].speaker SPEAKER_05
transcript.pyannote[1485].start 8217.88596875
transcript.pyannote[1485].end 8217.90284375
transcript.pyannote[1486].speaker SPEAKER_27
transcript.pyannote[1486].start 8217.90284375
transcript.pyannote[1486].end 8217.91971875
transcript.pyannote[1487].speaker SPEAKER_06
transcript.pyannote[1487].start 8218.74659375
transcript.pyannote[1487].end 8220.09659375
transcript.pyannote[1488].speaker SPEAKER_06
transcript.pyannote[1488].start 8220.88971875
transcript.pyannote[1488].end 8222.44221875
transcript.pyannote[1489].speaker SPEAKER_05
transcript.pyannote[1489].start 8222.44221875
transcript.pyannote[1489].end 8222.45909375
transcript.pyannote[1490].speaker SPEAKER_05
transcript.pyannote[1490].start 8222.50971875
transcript.pyannote[1490].end 8241.22409375
transcript.pyannote[1491].speaker SPEAKER_06
transcript.pyannote[1491].start 8232.29721875
transcript.pyannote[1491].end 8232.70221875
transcript.pyannote[1492].speaker SPEAKER_06
transcript.pyannote[1492].start 8234.42346875
transcript.pyannote[1492].end 8235.92534375
transcript.pyannote[1493].speaker SPEAKER_06
transcript.pyannote[1493].start 8238.30471875
transcript.pyannote[1493].end 8238.89534375
transcript.pyannote[1494].speaker SPEAKER_05
transcript.pyannote[1494].start 8241.78096875
transcript.pyannote[1494].end 8242.67534375
transcript.pyannote[1495].speaker SPEAKER_05
transcript.pyannote[1495].start 8243.77221875
transcript.pyannote[1495].end 8245.81409375
transcript.pyannote[1496].speaker SPEAKER_05
transcript.pyannote[1496].start 8246.33721875
transcript.pyannote[1496].end 8263.02659375
transcript.pyannote[1497].speaker SPEAKER_05
transcript.pyannote[1497].start 8263.34721875
transcript.pyannote[1497].end 8270.60346875
transcript.pyannote[1498].speaker SPEAKER_05
transcript.pyannote[1498].start 8271.64971875
transcript.pyannote[1498].end 8275.68284375
transcript.pyannote[1499].speaker SPEAKER_05
transcript.pyannote[1499].start 8277.33659375
transcript.pyannote[1499].end 8279.63159375
transcript.pyannote[1500].speaker SPEAKER_10
transcript.pyannote[1500].start 8279.95221875
transcript.pyannote[1500].end 8288.28846875
transcript.pyannote[1501].speaker SPEAKER_10
transcript.pyannote[1501].start 8288.55846875
transcript.pyannote[1501].end 8289.75659375
transcript.pyannote[1502].speaker SPEAKER_10
transcript.pyannote[1502].start 8290.09409375
transcript.pyannote[1502].end 8292.37221875
transcript.pyannote[1503].speaker SPEAKER_10
transcript.pyannote[1503].start 8292.99659375
transcript.pyannote[1503].end 8294.80221875
transcript.pyannote[1504].speaker SPEAKER_05
transcript.pyannote[1504].start 8295.02159375
transcript.pyannote[1504].end 8298.71721875
transcript.pyannote[1505].speaker SPEAKER_10
transcript.pyannote[1505].start 8296.81034375
transcript.pyannote[1505].end 8300.48909375
transcript.pyannote[1506].speaker SPEAKER_05
transcript.pyannote[1506].start 8300.72534375
transcript.pyannote[1506].end 8305.26471875
transcript.pyannote[1507].speaker SPEAKER_10
transcript.pyannote[1507].start 8304.30284375
transcript.pyannote[1507].end 8307.72846875
transcript.pyannote[1508].speaker SPEAKER_10
transcript.pyannote[1508].start 8308.13346875
transcript.pyannote[1508].end 8315.33909375
transcript.pyannote[1509].speaker SPEAKER_05
transcript.pyannote[1509].start 8315.33909375
transcript.pyannote[1509].end 8317.29659375
transcript.pyannote[1510].speaker SPEAKER_05
transcript.pyannote[1510].start 8317.85346875
transcript.pyannote[1510].end 8321.98784375
transcript.pyannote[1511].speaker SPEAKER_10
transcript.pyannote[1511].start 8320.63784375
transcript.pyannote[1511].end 8323.55721875
transcript.pyannote[1512].speaker SPEAKER_05
transcript.pyannote[1512].start 8323.28721875
transcript.pyannote[1512].end 8324.36721875
transcript.pyannote[1513].speaker SPEAKER_10
transcript.pyannote[1513].start 8324.29971875
transcript.pyannote[1513].end 8324.60346875
transcript.pyannote[1514].speaker SPEAKER_05
transcript.pyannote[1514].start 8324.51909375
transcript.pyannote[1514].end 8325.73409375
transcript.pyannote[1515].speaker SPEAKER_10
transcript.pyannote[1515].start 8325.73409375
transcript.pyannote[1515].end 8330.27346875
transcript.pyannote[1516].speaker SPEAKER_05
transcript.pyannote[1516].start 8330.86409375
transcript.pyannote[1516].end 8331.77534375
transcript.pyannote[1517].speaker SPEAKER_10
transcript.pyannote[1517].start 8331.92721875
transcript.pyannote[1517].end 8332.38284375
transcript.pyannote[1518].speaker SPEAKER_16
transcript.pyannote[1518].start 8332.38284375
transcript.pyannote[1518].end 8332.39971875
transcript.pyannote[1519].speaker SPEAKER_16
transcript.pyannote[1519].start 8335.55534375
transcript.pyannote[1519].end 8337.34409375
transcript.pyannote[1520].speaker SPEAKER_16
transcript.pyannote[1520].start 8337.69846875
transcript.pyannote[1520].end 8340.31409375
transcript.pyannote[1521].speaker SPEAKER_16
transcript.pyannote[1521].start 8340.63471875
transcript.pyannote[1521].end 8340.97221875
transcript.pyannote[1522].speaker SPEAKER_16
transcript.pyannote[1522].start 8341.96784375
transcript.pyannote[1522].end 8342.89596875
transcript.pyannote[1523].speaker SPEAKER_17
transcript.pyannote[1523].start 8342.89596875
transcript.pyannote[1523].end 8342.91284375
transcript.pyannote[1524].speaker SPEAKER_11
transcript.pyannote[1524].start 8353.86471875
transcript.pyannote[1524].end 8354.11784375
transcript.pyannote[1525].speaker SPEAKER_07
transcript.pyannote[1525].start 8373.15284375
transcript.pyannote[1525].end 8381.05034375
transcript.pyannote[1526].speaker SPEAKER_07
transcript.pyannote[1526].start 8381.08409375
transcript.pyannote[1526].end 8387.44596875
transcript.pyannote[1527].speaker SPEAKER_27
transcript.pyannote[1527].start 8381.21909375
transcript.pyannote[1527].end 8385.62346875
transcript.pyannote[1528].speaker SPEAKER_00
transcript.pyannote[1528].start 8386.24784375
transcript.pyannote[1528].end 8386.29846875
transcript.pyannote[1529].speaker SPEAKER_06
transcript.pyannote[1529].start 8386.29846875
transcript.pyannote[1529].end 8387.24346875
transcript.pyannote[1530].speaker SPEAKER_00
transcript.pyannote[1530].start 8387.24346875
transcript.pyannote[1530].end 8387.34471875
transcript.pyannote[1531].speaker SPEAKER_07
transcript.pyannote[1531].start 8387.58096875
transcript.pyannote[1531].end 8397.01409375
transcript.pyannote[1532].speaker SPEAKER_00
transcript.pyannote[1532].start 8388.47534375
transcript.pyannote[1532].end 8388.82971875
transcript.pyannote[1533].speaker SPEAKER_06
transcript.pyannote[1533].start 8388.98159375
transcript.pyannote[1533].end 8390.58471875
transcript.pyannote[1534].speaker SPEAKER_00
transcript.pyannote[1534].start 8390.58471875
transcript.pyannote[1534].end 8390.73659375
transcript.pyannote[1535].speaker SPEAKER_06
transcript.pyannote[1535].start 8397.01409375
transcript.pyannote[1535].end 8397.03096875
transcript.pyannote[1536].speaker SPEAKER_07
transcript.pyannote[1536].start 8397.03096875
transcript.pyannote[1536].end 8399.71409375
transcript.pyannote[1537].speaker SPEAKER_06
transcript.pyannote[1537].start 8398.70159375
transcript.pyannote[1537].end 8399.27534375
transcript.pyannote[1538].speaker SPEAKER_07
transcript.pyannote[1538].start 8400.01784375
transcript.pyannote[1538].end 8400.03471875
transcript.pyannote[1539].speaker SPEAKER_07
transcript.pyannote[1539].start 8400.06846875
transcript.pyannote[1539].end 8417.65221875
transcript.pyannote[1540].speaker SPEAKER_06
transcript.pyannote[1540].start 8400.18659375
transcript.pyannote[1540].end 8402.04284375
transcript.pyannote[1541].speaker SPEAKER_07
transcript.pyannote[1541].start 8417.97284375
transcript.pyannote[1541].end 8418.22596875
transcript.pyannote[1542].speaker SPEAKER_07
transcript.pyannote[1542].start 8419.47471875
transcript.pyannote[1542].end 8422.37721875
transcript.pyannote[1543].speaker SPEAKER_07
transcript.pyannote[1543].start 8422.63034375
transcript.pyannote[1543].end 8426.95034375
transcript.pyannote[1544].speaker SPEAKER_07
transcript.pyannote[1544].start 8427.28784375
transcript.pyannote[1544].end 8480.96721875
transcript.pyannote[1545].speaker SPEAKER_00
transcript.pyannote[1545].start 8438.18909375
transcript.pyannote[1545].end 8438.66159375
transcript.pyannote[1546].speaker SPEAKER_00
transcript.pyannote[1546].start 8438.88096875
transcript.pyannote[1546].end 8440.02846875
transcript.pyannote[1547].speaker SPEAKER_06
transcript.pyannote[1547].start 8440.02846875
transcript.pyannote[1547].end 8440.80471875
transcript.pyannote[1548].speaker SPEAKER_00
transcript.pyannote[1548].start 8442.49221875
transcript.pyannote[1548].end 8442.50909375
transcript.pyannote[1549].speaker SPEAKER_27
transcript.pyannote[1549].start 8442.50909375
transcript.pyannote[1549].end 8442.59346875
transcript.pyannote[1550].speaker SPEAKER_06
transcript.pyannote[1550].start 8442.59346875
transcript.pyannote[1550].end 8442.72846875
transcript.pyannote[1551].speaker SPEAKER_00
transcript.pyannote[1551].start 8442.72846875
transcript.pyannote[1551].end 8442.77909375
transcript.pyannote[1552].speaker SPEAKER_06
transcript.pyannote[1552].start 8443.92659375
transcript.pyannote[1552].end 8444.77034375
transcript.pyannote[1553].speaker SPEAKER_00
transcript.pyannote[1553].start 8444.77034375
transcript.pyannote[1553].end 8444.85471875
transcript.pyannote[1554].speaker SPEAKER_06
transcript.pyannote[1554].start 8445.05721875
transcript.pyannote[1554].end 8445.41159375
transcript.pyannote[1555].speaker SPEAKER_06
transcript.pyannote[1555].start 8446.55909375
transcript.pyannote[1555].end 8446.59284375
transcript.pyannote[1556].speaker SPEAKER_06
transcript.pyannote[1556].start 8447.58846875
transcript.pyannote[1556].end 8447.75721875
transcript.pyannote[1557].speaker SPEAKER_06
transcript.pyannote[1557].start 8448.60096875
transcript.pyannote[1557].end 8449.19159375
transcript.pyannote[1558].speaker SPEAKER_06
transcript.pyannote[1558].start 8449.46159375
transcript.pyannote[1558].end 8449.59659375
transcript.pyannote[1559].speaker SPEAKER_06
transcript.pyannote[1559].start 8453.41034375
transcript.pyannote[1559].end 8454.01784375
transcript.pyannote[1560].speaker SPEAKER_06
transcript.pyannote[1560].start 8457.94971875
transcript.pyannote[1560].end 8457.96659375
transcript.pyannote[1561].speaker SPEAKER_27
transcript.pyannote[1561].start 8457.96659375
transcript.pyannote[1561].end 8458.45596875
transcript.pyannote[1562].speaker SPEAKER_06
transcript.pyannote[1562].start 8467.61909375
transcript.pyannote[1562].end 8468.29409375
transcript.pyannote[1563].speaker SPEAKER_06
transcript.pyannote[1563].start 8468.37846875
transcript.pyannote[1563].end 8469.07034375
transcript.pyannote[1564].speaker SPEAKER_27
transcript.pyannote[1564].start 8478.48659375
transcript.pyannote[1564].end 8478.53721875
transcript.pyannote[1565].speaker SPEAKER_27
transcript.pyannote[1565].start 8478.67221875
transcript.pyannote[1565].end 8478.73971875
transcript.pyannote[1566].speaker SPEAKER_06
transcript.pyannote[1566].start 8478.73971875
transcript.pyannote[1566].end 8480.03909375
transcript.pyannote[1567].speaker SPEAKER_06
transcript.pyannote[1567].start 8480.96721875
transcript.pyannote[1567].end 8481.03471875
transcript.pyannote[1568].speaker SPEAKER_07
transcript.pyannote[1568].start 8481.03471875
transcript.pyannote[1568].end 8482.97534375
transcript.pyannote[1569].speaker SPEAKER_06
transcript.pyannote[1569].start 8482.97534375
transcript.pyannote[1569].end 8483.02596875
transcript.pyannote[1570].speaker SPEAKER_07
transcript.pyannote[1570].start 8483.02596875
transcript.pyannote[1570].end 8498.51721875
transcript.pyannote[1571].speaker SPEAKER_07
transcript.pyannote[1571].start 8498.87159375
transcript.pyannote[1571].end 8511.94971875
transcript.pyannote[1572].speaker SPEAKER_27
transcript.pyannote[1572].start 8501.41971875
transcript.pyannote[1572].end 8501.97659375
transcript.pyannote[1573].speaker SPEAKER_00
transcript.pyannote[1573].start 8501.97659375
transcript.pyannote[1573].end 8503.90034375
transcript.pyannote[1574].speaker SPEAKER_00
transcript.pyannote[1574].start 8504.76096875
transcript.pyannote[1574].end 8504.96346875
transcript.pyannote[1575].speaker SPEAKER_27
transcript.pyannote[1575].start 8505.21659375
transcript.pyannote[1575].end 8505.41909375
transcript.pyannote[1576].speaker SPEAKER_07
transcript.pyannote[1576].start 8512.27034375
transcript.pyannote[1576].end 8515.45971875
transcript.pyannote[1577].speaker SPEAKER_07
transcript.pyannote[1577].start 8515.62846875
transcript.pyannote[1577].end 8523.35721875
transcript.pyannote[1578].speaker SPEAKER_27
transcript.pyannote[1578].start 8517.33284375
transcript.pyannote[1578].end 8517.56909375
transcript.pyannote[1579].speaker SPEAKER_00
transcript.pyannote[1579].start 8518.14284375
transcript.pyannote[1579].end 8518.24409375
transcript.pyannote[1580].speaker SPEAKER_27
transcript.pyannote[1580].start 8518.24409375
transcript.pyannote[1580].end 8518.49721875
transcript.pyannote[1581].speaker SPEAKER_00
transcript.pyannote[1581].start 8518.49721875
transcript.pyannote[1581].end 8518.61534375
transcript.pyannote[1582].speaker SPEAKER_07
transcript.pyannote[1582].start 8523.71159375
transcript.pyannote[1582].end 8547.52221875
transcript.pyannote[1583].speaker SPEAKER_04
transcript.pyannote[1583].start 8527.37346875
transcript.pyannote[1583].end 8528.21721875
transcript.pyannote[1584].speaker SPEAKER_04
transcript.pyannote[1584].start 8529.98909375
transcript.pyannote[1584].end 8531.57534375
transcript.pyannote[1585].speaker SPEAKER_23
transcript.pyannote[1585].start 8531.57534375
transcript.pyannote[1585].end 8531.67659375
transcript.pyannote[1586].speaker SPEAKER_04
transcript.pyannote[1586].start 8536.06409375
transcript.pyannote[1586].end 8537.58284375
transcript.pyannote[1587].speaker SPEAKER_06
transcript.pyannote[1587].start 8537.58284375
transcript.pyannote[1587].end 8538.29159375
transcript.pyannote[1588].speaker SPEAKER_06
transcript.pyannote[1588].start 8538.98346875
transcript.pyannote[1588].end 8539.30409375
transcript.pyannote[1589].speaker SPEAKER_06
transcript.pyannote[1589].start 8539.50659375
transcript.pyannote[1589].end 8539.72596875
transcript.pyannote[1590].speaker SPEAKER_07
transcript.pyannote[1590].start 8548.04534375
transcript.pyannote[1590].end 8555.99346875
transcript.pyannote[1591].speaker SPEAKER_05
transcript.pyannote[1591].start 8565.10596875
transcript.pyannote[1591].end 8566.23659375
transcript.pyannote[1592].speaker SPEAKER_06
transcript.pyannote[1592].start 8568.02534375
transcript.pyannote[1592].end 8572.02471875
transcript.pyannote[1593].speaker SPEAKER_07
transcript.pyannote[1593].start 8572.02471875
transcript.pyannote[1593].end 8575.70346875
transcript.pyannote[1594].speaker SPEAKER_07
transcript.pyannote[1594].start 8575.92284375
transcript.pyannote[1594].end 8584.02284375
transcript.pyannote[1595].speaker SPEAKER_32
transcript.pyannote[1595].start 8584.88346875
transcript.pyannote[1595].end 8586.26721875
transcript.pyannote[1596].speaker SPEAKER_07
transcript.pyannote[1596].start 8586.67221875
transcript.pyannote[1596].end 8586.97596875
transcript.pyannote[1597].speaker SPEAKER_04
transcript.pyannote[1597].start 8586.97596875
transcript.pyannote[1597].end 8588.64659375
transcript.pyannote[1598].speaker SPEAKER_24
transcript.pyannote[1598].start 8594.04659375
transcript.pyannote[1598].end 8595.78471875
transcript.pyannote[1599].speaker SPEAKER_24
transcript.pyannote[1599].start 8595.97034375
transcript.pyannote[1599].end 8596.03784375
transcript.pyannote[1600].speaker SPEAKER_07
transcript.pyannote[1600].start 8596.05471875
transcript.pyannote[1600].end 8596.08846875
transcript.pyannote[1601].speaker SPEAKER_07
transcript.pyannote[1601].start 8598.46784375
transcript.pyannote[1601].end 8605.82534375
transcript.pyannote[1602].speaker SPEAKER_27
transcript.pyannote[1602].start 8601.45471875
transcript.pyannote[1602].end 8601.64034375
transcript.pyannote[1603].speaker SPEAKER_17
transcript.pyannote[1603].start 8601.64034375
transcript.pyannote[1603].end 8601.80909375
transcript.pyannote[1604].speaker SPEAKER_27
transcript.pyannote[1604].start 8601.80909375
transcript.pyannote[1604].end 8601.89346875
transcript.pyannote[1605].speaker SPEAKER_24
transcript.pyannote[1605].start 8646.71346875
transcript.pyannote[1605].end 8660.24721875
transcript.pyannote[1606].speaker SPEAKER_17
transcript.pyannote[1606].start 8650.37534375
transcript.pyannote[1606].end 8651.97846875
transcript.pyannote[1607].speaker SPEAKER_17
transcript.pyannote[1607].start 8653.22721875
transcript.pyannote[1607].end 8653.42971875
transcript.pyannote[1608].speaker SPEAKER_17
transcript.pyannote[1608].start 8656.04534375
transcript.pyannote[1608].end 8656.24784375
transcript.pyannote[1609].speaker SPEAKER_17
transcript.pyannote[1609].start 8659.82534375
transcript.pyannote[1609].end 8660.58471875
transcript.pyannote[1610].speaker SPEAKER_17
transcript.pyannote[1610].start 8660.87159375
transcript.pyannote[1610].end 8660.88846875
transcript.pyannote[1611].speaker SPEAKER_17
transcript.pyannote[1611].start 8660.93909375
transcript.pyannote[1611].end 8661.05721875
transcript.pyannote[1612].speaker SPEAKER_17
transcript.pyannote[1612].start 8661.07409375
transcript.pyannote[1612].end 8661.10784375
transcript.pyannote[1613].speaker SPEAKER_17
transcript.pyannote[1613].start 8661.14159375
transcript.pyannote[1613].end 8661.24284375
transcript.pyannote[1614].speaker SPEAKER_17
transcript.pyannote[1614].start 8661.37784375
transcript.pyannote[1614].end 8665.61346875
transcript.pyannote[1615].speaker SPEAKER_24
transcript.pyannote[1615].start 8665.14096875
transcript.pyannote[1615].end 8678.16846875
transcript.pyannote[1616].speaker SPEAKER_17
transcript.pyannote[1616].start 8667.48659375
transcript.pyannote[1616].end 8670.30471875
transcript.pyannote[1617].speaker SPEAKER_16
transcript.pyannote[1617].start 8674.18596875
transcript.pyannote[1617].end 8675.70471875
transcript.pyannote[1618].speaker SPEAKER_32
transcript.pyannote[1618].start 8675.70471875
transcript.pyannote[1618].end 8675.73846875
transcript.pyannote[1619].speaker SPEAKER_16
transcript.pyannote[1619].start 8677.69596875
transcript.pyannote[1619].end 8677.96596875
transcript.pyannote[1620].speaker SPEAKER_17
transcript.pyannote[1620].start 8677.96596875
transcript.pyannote[1620].end 8678.01659375
transcript.pyannote[1621].speaker SPEAKER_17
transcript.pyannote[1621].start 8681.96534375
transcript.pyannote[1621].end 8683.70346875
transcript.pyannote[1622].speaker SPEAKER_17
transcript.pyannote[1622].start 8684.68221875
transcript.pyannote[1622].end 8686.03221875
transcript.pyannote[1623].speaker SPEAKER_17
transcript.pyannote[1623].start 8686.04909375
transcript.pyannote[1623].end 8686.06596875
transcript.pyannote[1624].speaker SPEAKER_24
transcript.pyannote[1624].start 8686.06596875
transcript.pyannote[1624].end 8686.79159375
transcript.pyannote[1625].speaker SPEAKER_17
transcript.pyannote[1625].start 8686.79159375
transcript.pyannote[1625].end 8693.28846875
transcript.pyannote[1626].speaker SPEAKER_17
transcript.pyannote[1626].start 8694.70596875
transcript.pyannote[1626].end 8696.03909375
transcript.pyannote[1627].speaker SPEAKER_16
transcript.pyannote[1627].start 8701.69221875
transcript.pyannote[1627].end 8703.39659375
transcript.pyannote[1628].speaker SPEAKER_16
transcript.pyannote[1628].start 8760.77159375
transcript.pyannote[1628].end 8762.20596875
transcript.pyannote[1629].speaker SPEAKER_16
transcript.pyannote[1629].start 8762.74596875
transcript.pyannote[1629].end 8765.90159375
transcript.pyannote[1630].speaker SPEAKER_15
transcript.pyannote[1630].start 8772.36471875
transcript.pyannote[1630].end 8775.38534375
transcript.pyannote[1631].speaker SPEAKER_15
transcript.pyannote[1631].start 8775.85784375
transcript.pyannote[1631].end 8778.10221875
transcript.pyannote[1632].speaker SPEAKER_15
transcript.pyannote[1632].start 8781.54471875
transcript.pyannote[1632].end 8781.56159375
transcript.pyannote[1633].speaker SPEAKER_19
transcript.pyannote[1633].start 8781.56159375
transcript.pyannote[1633].end 8781.76409375
transcript.pyannote[1634].speaker SPEAKER_15
transcript.pyannote[1634].start 8782.77659375
transcript.pyannote[1634].end 8782.79346875
transcript.pyannote[1635].speaker SPEAKER_19
transcript.pyannote[1635].start 8782.79346875
transcript.pyannote[1635].end 8813.18534375
transcript.pyannote[1636].speaker SPEAKER_19
transcript.pyannote[1636].start 8813.82659375
transcript.pyannote[1636].end 8815.58159375
transcript.pyannote[1637].speaker SPEAKER_10
transcript.pyannote[1637].start 8817.20159375
transcript.pyannote[1637].end 8826.43221875
transcript.pyannote[1638].speaker SPEAKER_10
transcript.pyannote[1638].start 8827.14096875
transcript.pyannote[1638].end 8829.04784375
transcript.pyannote[1639].speaker SPEAKER_10
transcript.pyannote[1639].start 8829.14909375
transcript.pyannote[1639].end 8834.11034375
transcript.pyannote[1640].speaker SPEAKER_10
transcript.pyannote[1640].start 8834.43096875
transcript.pyannote[1640].end 8835.35909375
transcript.pyannote[1641].speaker SPEAKER_10
transcript.pyannote[1641].start 8836.05096875
transcript.pyannote[1641].end 8836.87784375
transcript.pyannote[1642].speaker SPEAKER_10
transcript.pyannote[1642].start 8837.53596875
transcript.pyannote[1642].end 8837.83971875
transcript.pyannote[1643].speaker SPEAKER_10
transcript.pyannote[1643].start 8839.13909375
transcript.pyannote[1643].end 8842.14284375
transcript.pyannote[1644].speaker SPEAKER_10
transcript.pyannote[1644].start 8842.39596875
transcript.pyannote[1644].end 8844.33659375
transcript.pyannote[1645].speaker SPEAKER_10
transcript.pyannote[1645].start 8845.16346875
transcript.pyannote[1645].end 8852.77409375
transcript.pyannote[1646].speaker SPEAKER_10
transcript.pyannote[1646].start 8853.16221875
transcript.pyannote[1646].end 8860.04721875
transcript.pyannote[1647].speaker SPEAKER_10
transcript.pyannote[1647].start 8860.43534375
transcript.pyannote[1647].end 8867.11784375
transcript.pyannote[1648].speaker SPEAKER_27
transcript.pyannote[1648].start 8867.13471875
transcript.pyannote[1648].end 8867.50596875
transcript.pyannote[1649].speaker SPEAKER_10
transcript.pyannote[1649].start 8867.69159375
transcript.pyannote[1649].end 8879.35221875
transcript.pyannote[1650].speaker SPEAKER_10
transcript.pyannote[1650].start 8879.85846875
transcript.pyannote[1650].end 8883.23346875
transcript.pyannote[1651].speaker SPEAKER_10
transcript.pyannote[1651].start 8883.70596875
transcript.pyannote[1651].end 8886.37221875
transcript.pyannote[1652].speaker SPEAKER_10
transcript.pyannote[1652].start 8887.08096875
transcript.pyannote[1652].end 8890.03409375
transcript.pyannote[1653].speaker SPEAKER_19
transcript.pyannote[1653].start 8890.03409375
transcript.pyannote[1653].end 8890.28721875
transcript.pyannote[1654].speaker SPEAKER_10
transcript.pyannote[1654].start 8890.67534375
transcript.pyannote[1654].end 8890.82721875
transcript.pyannote[1655].speaker SPEAKER_19
transcript.pyannote[1655].start 8890.82721875
transcript.pyannote[1655].end 8896.80096875
transcript.pyannote[1656].speaker SPEAKER_27
transcript.pyannote[1656].start 8896.71659375
transcript.pyannote[1656].end 8897.10471875
transcript.pyannote[1657].speaker SPEAKER_19
transcript.pyannote[1657].start 8897.00346875
transcript.pyannote[1657].end 8908.96784375
transcript.pyannote[1658].speaker SPEAKER_10
transcript.pyannote[1658].start 8908.96784375
transcript.pyannote[1658].end 8915.04284375
transcript.pyannote[1659].speaker SPEAKER_10
transcript.pyannote[1659].start 8915.68409375
transcript.pyannote[1659].end 8918.46846875
transcript.pyannote[1660].speaker SPEAKER_10
transcript.pyannote[1660].start 8918.72159375
transcript.pyannote[1660].end 8918.78909375
transcript.pyannote[1661].speaker SPEAKER_10
transcript.pyannote[1661].start 8919.22784375
transcript.pyannote[1661].end 8920.69596875
transcript.pyannote[1662].speaker SPEAKER_10
transcript.pyannote[1662].start 8921.35409375
transcript.pyannote[1662].end 8925.30284375
transcript.pyannote[1663].speaker SPEAKER_10
transcript.pyannote[1663].start 8925.65721875
transcript.pyannote[1663].end 8928.71159375
transcript.pyannote[1664].speaker SPEAKER_10
transcript.pyannote[1664].start 8928.99846875
transcript.pyannote[1664].end 8933.79096875
transcript.pyannote[1665].speaker SPEAKER_10
transcript.pyannote[1665].start 8934.11159375
transcript.pyannote[1665].end 8940.96284375
transcript.pyannote[1666].speaker SPEAKER_19
transcript.pyannote[1666].start 8940.96284375
transcript.pyannote[1666].end 8977.75034375
transcript.pyannote[1667].speaker SPEAKER_10
transcript.pyannote[1667].start 8975.53971875
transcript.pyannote[1667].end 8976.63659375
transcript.pyannote[1668].speaker SPEAKER_10
transcript.pyannote[1668].start 8977.63221875
transcript.pyannote[1668].end 8989.27596875
transcript.pyannote[1669].speaker SPEAKER_10
transcript.pyannote[1669].start 8990.20409375
transcript.pyannote[1669].end 8994.82784375
transcript.pyannote[1670].speaker SPEAKER_10
transcript.pyannote[1670].start 8995.38471875
transcript.pyannote[1670].end 9007.46721875
transcript.pyannote[1671].speaker SPEAKER_10
transcript.pyannote[1671].start 9007.97346875
transcript.pyannote[1671].end 9010.69034375
transcript.pyannote[1672].speaker SPEAKER_10
transcript.pyannote[1672].start 9011.61846875
transcript.pyannote[1672].end 9013.69409375
transcript.pyannote[1673].speaker SPEAKER_10
transcript.pyannote[1673].start 9013.96409375
transcript.pyannote[1673].end 9016.02284375
transcript.pyannote[1674].speaker SPEAKER_19
transcript.pyannote[1674].start 9016.02284375
transcript.pyannote[1674].end 9021.59159375
transcript.pyannote[1675].speaker SPEAKER_10
transcript.pyannote[1675].start 9018.79034375
transcript.pyannote[1675].end 9018.95909375
transcript.pyannote[1676].speaker SPEAKER_19
transcript.pyannote[1676].start 9021.79409375
transcript.pyannote[1676].end 9027.66659375
transcript.pyannote[1677].speaker SPEAKER_10
transcript.pyannote[1677].start 9027.19409375
transcript.pyannote[1677].end 9042.11159375
transcript.pyannote[1678].speaker SPEAKER_10
transcript.pyannote[1678].start 9042.66846875
transcript.pyannote[1678].end 9045.55409375
transcript.pyannote[1679].speaker SPEAKER_19
transcript.pyannote[1679].start 9045.55409375
transcript.pyannote[1679].end 9045.57096875
transcript.pyannote[1680].speaker SPEAKER_10
transcript.pyannote[1680].start 9045.90846875
transcript.pyannote[1680].end 9047.03909375
transcript.pyannote[1681].speaker SPEAKER_19
transcript.pyannote[1681].start 9047.03909375
transcript.pyannote[1681].end 9047.84909375
transcript.pyannote[1682].speaker SPEAKER_19
transcript.pyannote[1682].start 9047.91659375
transcript.pyannote[1682].end 9059.59409375
transcript.pyannote[1683].speaker SPEAKER_10
transcript.pyannote[1683].start 9047.98409375
transcript.pyannote[1683].end 9049.43534375
transcript.pyannote[1684].speaker SPEAKER_10
transcript.pyannote[1684].start 9057.92346875
transcript.pyannote[1684].end 9059.96534375
transcript.pyannote[1685].speaker SPEAKER_19
transcript.pyannote[1685].start 9059.96534375
transcript.pyannote[1685].end 9074.42721875
transcript.pyannote[1686].speaker SPEAKER_19
transcript.pyannote[1686].start 9074.74784375
transcript.pyannote[1686].end 9087.64034375
transcript.pyannote[1687].speaker SPEAKER_10
transcript.pyannote[1687].start 9086.03721875
transcript.pyannote[1687].end 9098.03534375
transcript.pyannote[1688].speaker SPEAKER_19
transcript.pyannote[1688].start 9098.03534375
transcript.pyannote[1688].end 9103.18221875
transcript.pyannote[1689].speaker SPEAKER_13
transcript.pyannote[1689].start 9103.18221875
transcript.pyannote[1689].end 9103.51971875
transcript.pyannote[1690].speaker SPEAKER_19
transcript.pyannote[1690].start 9103.51971875
transcript.pyannote[1690].end 9116.12534375
transcript.pyannote[1691].speaker SPEAKER_06
transcript.pyannote[1691].start 9116.74971875
transcript.pyannote[1691].end 9118.01534375
transcript.pyannote[1692].speaker SPEAKER_19
transcript.pyannote[1692].start 9118.01534375
transcript.pyannote[1692].end 9119.43284375
transcript.pyannote[1693].speaker SPEAKER_06
transcript.pyannote[1693].start 9119.78721875
transcript.pyannote[1693].end 9132.74721875
transcript.pyannote[1694].speaker SPEAKER_19
transcript.pyannote[1694].start 9132.74721875
transcript.pyannote[1694].end 9135.76784375
transcript.pyannote[1695].speaker SPEAKER_06
transcript.pyannote[1695].start 9134.51909375
transcript.pyannote[1695].end 9144.13784375
transcript.pyannote[1696].speaker SPEAKER_19
transcript.pyannote[1696].start 9140.61096875
transcript.pyannote[1696].end 9140.93159375
transcript.pyannote[1697].speaker SPEAKER_19
transcript.pyannote[1697].start 9143.73284375
transcript.pyannote[1697].end 9157.31721875
transcript.pyannote[1698].speaker SPEAKER_06
transcript.pyannote[1698].start 9147.44534375
transcript.pyannote[1698].end 9147.66471875
transcript.pyannote[1699].speaker SPEAKER_00
transcript.pyannote[1699].start 9154.87034375
transcript.pyannote[1699].end 9155.25846875
transcript.pyannote[1700].speaker SPEAKER_19
transcript.pyannote[1700].start 9157.80659375
transcript.pyannote[1700].end 9167.59409375
transcript.pyannote[1701].speaker SPEAKER_06
transcript.pyannote[1701].start 9159.91596875
transcript.pyannote[1701].end 9160.32096875
transcript.pyannote[1702].speaker SPEAKER_06
transcript.pyannote[1702].start 9166.88534375
transcript.pyannote[1702].end 9169.99034375
transcript.pyannote[1703].speaker SPEAKER_19
transcript.pyannote[1703].start 9168.84284375
transcript.pyannote[1703].end 9169.77096875
transcript.pyannote[1704].speaker SPEAKER_19
transcript.pyannote[1704].start 9170.54721875
transcript.pyannote[1704].end 9175.05284375
transcript.pyannote[1705].speaker SPEAKER_06
transcript.pyannote[1705].start 9174.39471875
transcript.pyannote[1705].end 9177.66846875
transcript.pyannote[1706].speaker SPEAKER_06
transcript.pyannote[1706].start 9177.98909375
transcript.pyannote[1706].end 9181.27971875
transcript.pyannote[1707].speaker SPEAKER_19
transcript.pyannote[1707].start 9181.27971875
transcript.pyannote[1707].end 9182.10659375
transcript.pyannote[1708].speaker SPEAKER_06
transcript.pyannote[1708].start 9181.31346875
transcript.pyannote[1708].end 9184.04721875
transcript.pyannote[1709].speaker SPEAKER_19
transcript.pyannote[1709].start 9183.67596875
transcript.pyannote[1709].end 9188.14784375
transcript.pyannote[1710].speaker SPEAKER_06
transcript.pyannote[1710].start 9188.14784375
transcript.pyannote[1710].end 9190.47659375
transcript.pyannote[1711].speaker SPEAKER_06
transcript.pyannote[1711].start 9190.66221875
transcript.pyannote[1711].end 9195.94409375
transcript.pyannote[1712].speaker SPEAKER_06
transcript.pyannote[1712].start 9196.50096875
transcript.pyannote[1712].end 9202.79534375
transcript.pyannote[1713].speaker SPEAKER_19
transcript.pyannote[1713].start 9199.33596875
transcript.pyannote[1713].end 9199.58909375
transcript.pyannote[1714].speaker SPEAKER_19
transcript.pyannote[1714].start 9202.42409375
transcript.pyannote[1714].end 9206.50784375
transcript.pyannote[1715].speaker SPEAKER_06
transcript.pyannote[1715].start 9205.25909375
transcript.pyannote[1715].end 9205.27596875
transcript.pyannote[1716].speaker SPEAKER_06
transcript.pyannote[1716].start 9205.91721875
transcript.pyannote[1716].end 9208.80284375
transcript.pyannote[1717].speaker SPEAKER_06
transcript.pyannote[1717].start 9209.19096875
transcript.pyannote[1717].end 9211.16534375
transcript.pyannote[1718].speaker SPEAKER_19
transcript.pyannote[1718].start 9211.60409375
transcript.pyannote[1718].end 9219.61971875
transcript.pyannote[1719].speaker SPEAKER_06
transcript.pyannote[1719].start 9219.55221875
transcript.pyannote[1719].end 9219.95721875
transcript.pyannote[1720].speaker SPEAKER_19
transcript.pyannote[1720].start 9219.95721875
transcript.pyannote[1720].end 9223.73721875
transcript.pyannote[1721].speaker SPEAKER_06
transcript.pyannote[1721].start 9224.09159375
transcript.pyannote[1721].end 9231.71909375
transcript.pyannote[1722].speaker SPEAKER_19
transcript.pyannote[1722].start 9230.60534375
transcript.pyannote[1722].end 9236.19096875
transcript.pyannote[1723].speaker SPEAKER_06
transcript.pyannote[1723].start 9233.86221875
transcript.pyannote[1723].end 9241.48971875
transcript.pyannote[1724].speaker SPEAKER_06
transcript.pyannote[1724].start 9241.50659375
transcript.pyannote[1724].end 9241.52346875
transcript.pyannote[1725].speaker SPEAKER_19
transcript.pyannote[1725].start 9241.52346875
transcript.pyannote[1725].end 9256.72784375
transcript.pyannote[1726].speaker SPEAKER_27
transcript.pyannote[1726].start 9254.48346875
transcript.pyannote[1726].end 9254.63534375
transcript.pyannote[1727].speaker SPEAKER_27
transcript.pyannote[1727].start 9254.85471875
transcript.pyannote[1727].end 9256.35659375
transcript.pyannote[1728].speaker SPEAKER_16
transcript.pyannote[1728].start 9262.38096875
transcript.pyannote[1728].end 9263.37659375
transcript.pyannote[1729].speaker SPEAKER_16
transcript.pyannote[1729].start 9263.44409375
transcript.pyannote[1729].end 9264.60846875
transcript.pyannote[1730].speaker SPEAKER_16
transcript.pyannote[1730].start 9264.62534375
transcript.pyannote[1730].end 9267.10596875
transcript.pyannote[1731].speaker SPEAKER_01
transcript.pyannote[1731].start 9273.90659375
transcript.pyannote[1731].end 9278.02409375
transcript.pyannote[1732].speaker SPEAKER_16
transcript.pyannote[1732].start 9278.86784375
transcript.pyannote[1732].end 9280.80846875
transcript.pyannote[1733].speaker SPEAKER_16
transcript.pyannote[1733].start 9281.75346875
transcript.pyannote[1733].end 9282.17534375
transcript.pyannote[1734].speaker SPEAKER_16
transcript.pyannote[1734].start 9288.16596875
transcript.pyannote[1734].end 9288.18284375
transcript.pyannote[1735].speaker SPEAKER_17
transcript.pyannote[1735].start 9288.18284375
transcript.pyannote[1735].end 9288.38534375
transcript.pyannote[1736].speaker SPEAKER_01
transcript.pyannote[1736].start 9288.38534375
transcript.pyannote[1736].end 9289.75221875
transcript.pyannote[1737].speaker SPEAKER_17
transcript.pyannote[1737].start 9288.40221875
transcript.pyannote[1737].end 9288.57096875
transcript.pyannote[1738].speaker SPEAKER_01
transcript.pyannote[1738].start 9289.98846875
transcript.pyannote[1738].end 9292.31721875
transcript.pyannote[1739].speaker SPEAKER_01
transcript.pyannote[1739].start 9292.55346875
transcript.pyannote[1739].end 9294.71346875
transcript.pyannote[1740].speaker SPEAKER_01
transcript.pyannote[1740].start 9294.98346875
transcript.pyannote[1740].end 9297.51471875
transcript.pyannote[1741].speaker SPEAKER_01
transcript.pyannote[1741].start 9298.00409375
transcript.pyannote[1741].end 9301.15971875
transcript.pyannote[1742].speaker SPEAKER_01
transcript.pyannote[1742].start 9301.48034375
transcript.pyannote[1742].end 9303.91034375
transcript.pyannote[1743].speaker SPEAKER_01
transcript.pyannote[1743].start 9304.26471875
transcript.pyannote[1743].end 9318.89534375
transcript.pyannote[1744].speaker SPEAKER_01
transcript.pyannote[1744].start 9319.60409375
transcript.pyannote[1744].end 9320.51534375
transcript.pyannote[1745].speaker SPEAKER_01
transcript.pyannote[1745].start 9321.15659375
transcript.pyannote[1745].end 9323.68784375
transcript.pyannote[1746].speaker SPEAKER_01
transcript.pyannote[1746].start 9324.46409375
transcript.pyannote[1746].end 9324.93659375
transcript.pyannote[1747].speaker SPEAKER_01
transcript.pyannote[1747].start 9325.83096875
transcript.pyannote[1747].end 9335.87159375
transcript.pyannote[1748].speaker SPEAKER_01
transcript.pyannote[1748].start 9336.64784375
transcript.pyannote[1748].end 9343.66784375
transcript.pyannote[1749].speaker SPEAKER_01
transcript.pyannote[1749].start 9343.95471875
transcript.pyannote[1749].end 9345.99659375
transcript.pyannote[1750].speaker SPEAKER_01
transcript.pyannote[1750].start 9346.38471875
transcript.pyannote[1750].end 9352.66221875
transcript.pyannote[1751].speaker SPEAKER_01
transcript.pyannote[1751].start 9353.15159375
transcript.pyannote[1751].end 9367.59659375
transcript.pyannote[1752].speaker SPEAKER_01
transcript.pyannote[1752].start 9368.06909375
transcript.pyannote[1752].end 9368.99721875
transcript.pyannote[1753].speaker SPEAKER_01
transcript.pyannote[1753].start 9369.52034375
transcript.pyannote[1753].end 9374.92034375
transcript.pyannote[1754].speaker SPEAKER_01
transcript.pyannote[1754].start 9375.57846875
transcript.pyannote[1754].end 9376.16909375
transcript.pyannote[1755].speaker SPEAKER_01
transcript.pyannote[1755].start 9377.21534375
transcript.pyannote[1755].end 9378.37971875
transcript.pyannote[1756].speaker SPEAKER_01
transcript.pyannote[1756].start 9378.49784375
transcript.pyannote[1756].end 9379.59471875
transcript.pyannote[1757].speaker SPEAKER_01
transcript.pyannote[1757].start 9380.28659375
transcript.pyannote[1757].end 9416.53409375
transcript.pyannote[1758].speaker SPEAKER_01
transcript.pyannote[1758].start 9416.97284375
transcript.pyannote[1758].end 9418.28909375
transcript.pyannote[1759].speaker SPEAKER_01
transcript.pyannote[1759].start 9419.35221875
transcript.pyannote[1759].end 9419.97659375
transcript.pyannote[1760].speaker SPEAKER_01
transcript.pyannote[1760].start 9420.70221875
transcript.pyannote[1760].end 9422.11971875
transcript.pyannote[1761].speaker SPEAKER_10
transcript.pyannote[1761].start 9422.86221875
transcript.pyannote[1761].end 9425.51159375
transcript.pyannote[1762].speaker SPEAKER_01
transcript.pyannote[1762].start 9425.34284375
transcript.pyannote[1762].end 9425.69721875
transcript.pyannote[1763].speaker SPEAKER_13
transcript.pyannote[1763].start 9427.18221875
transcript.pyannote[1763].end 9476.86221875
transcript.pyannote[1764].speaker SPEAKER_01
transcript.pyannote[1764].start 9476.28846875
transcript.pyannote[1764].end 9476.94659375
transcript.pyannote[1765].speaker SPEAKER_01
transcript.pyannote[1765].start 9477.43596875
transcript.pyannote[1765].end 9478.78596875
transcript.pyannote[1766].speaker SPEAKER_13
transcript.pyannote[1766].start 9477.48659375
transcript.pyannote[1766].end 9477.72284375
transcript.pyannote[1767].speaker SPEAKER_01
transcript.pyannote[1767].start 9480.11909375
transcript.pyannote[1767].end 9483.03846875
transcript.pyannote[1768].speaker SPEAKER_13
transcript.pyannote[1768].start 9482.34659375
transcript.pyannote[1768].end 9482.36346875
transcript.pyannote[1769].speaker SPEAKER_27
transcript.pyannote[1769].start 9482.36346875
transcript.pyannote[1769].end 9482.70096875
transcript.pyannote[1770].speaker SPEAKER_13
transcript.pyannote[1770].start 9482.70096875
transcript.pyannote[1770].end 9482.73471875
transcript.pyannote[1771].speaker SPEAKER_01
transcript.pyannote[1771].start 9483.32534375
transcript.pyannote[1771].end 9486.27846875
transcript.pyannote[1772].speaker SPEAKER_27
transcript.pyannote[1772].start 9486.27846875
transcript.pyannote[1772].end 9486.46409375
transcript.pyannote[1773].speaker SPEAKER_01
transcript.pyannote[1773].start 9486.46409375
transcript.pyannote[1773].end 9488.50596875
transcript.pyannote[1774].speaker SPEAKER_01
transcript.pyannote[1774].start 9488.96159375
transcript.pyannote[1774].end 9494.69909375
transcript.pyannote[1775].speaker SPEAKER_13
transcript.pyannote[1775].start 9492.21846875
transcript.pyannote[1775].end 9494.10846875
transcript.pyannote[1776].speaker SPEAKER_01
transcript.pyannote[1776].start 9494.96909375
transcript.pyannote[1776].end 9496.13346875
transcript.pyannote[1777].speaker SPEAKER_13
transcript.pyannote[1777].start 9494.98596875
transcript.pyannote[1777].end 9495.54284375
transcript.pyannote[1778].speaker SPEAKER_13
transcript.pyannote[1778].start 9495.98159375
transcript.pyannote[1778].end 9496.69034375
transcript.pyannote[1779].speaker SPEAKER_01
transcript.pyannote[1779].start 9496.63971875
transcript.pyannote[1779].end 9502.68096875
transcript.pyannote[1780].speaker SPEAKER_13
transcript.pyannote[1780].start 9501.34784375
transcript.pyannote[1780].end 9504.33471875
transcript.pyannote[1781].speaker SPEAKER_01
transcript.pyannote[1781].start 9503.11971875
transcript.pyannote[1781].end 9504.87471875
transcript.pyannote[1782].speaker SPEAKER_01
transcript.pyannote[1782].start 9505.29659375
transcript.pyannote[1782].end 9507.99659375
transcript.pyannote[1783].speaker SPEAKER_13
transcript.pyannote[1783].start 9508.43534375
transcript.pyannote[1783].end 9509.51534375
transcript.pyannote[1784].speaker SPEAKER_01
transcript.pyannote[1784].start 9509.05971875
transcript.pyannote[1784].end 9510.69659375
transcript.pyannote[1785].speaker SPEAKER_13
transcript.pyannote[1785].start 9511.03409375
transcript.pyannote[1785].end 9511.47284375
transcript.pyannote[1786].speaker SPEAKER_01
transcript.pyannote[1786].start 9511.47284375
transcript.pyannote[1786].end 9513.59909375
transcript.pyannote[1787].speaker SPEAKER_01
transcript.pyannote[1787].start 9513.85221875
transcript.pyannote[1787].end 9520.41659375
transcript.pyannote[1788].speaker SPEAKER_01
transcript.pyannote[1788].start 9520.58534375
transcript.pyannote[1788].end 9527.99346875
transcript.pyannote[1789].speaker SPEAKER_13
transcript.pyannote[1789].start 9528.31409375
transcript.pyannote[1789].end 9529.86659375
transcript.pyannote[1790].speaker SPEAKER_01
transcript.pyannote[1790].start 9528.97221875
transcript.pyannote[1790].end 9534.62534375
transcript.pyannote[1791].speaker SPEAKER_13
transcript.pyannote[1791].start 9533.42721875
transcript.pyannote[1791].end 9533.88284375
transcript.pyannote[1792].speaker SPEAKER_13
transcript.pyannote[1792].start 9534.86159375
transcript.pyannote[1792].end 9535.30034375
transcript.pyannote[1793].speaker SPEAKER_01
transcript.pyannote[1793].start 9535.23284375
transcript.pyannote[1793].end 9536.83596875
transcript.pyannote[1794].speaker SPEAKER_13
transcript.pyannote[1794].start 9536.98784375
transcript.pyannote[1794].end 9538.10159375
transcript.pyannote[1795].speaker SPEAKER_01
transcript.pyannote[1795].start 9537.35909375
transcript.pyannote[1795].end 9538.92846875
transcript.pyannote[1796].speaker SPEAKER_01
transcript.pyannote[1796].start 9539.19846875
transcript.pyannote[1796].end 9543.75471875
transcript.pyannote[1797].speaker SPEAKER_01
transcript.pyannote[1797].start 9544.48034375
transcript.pyannote[1797].end 9550.45409375
transcript.pyannote[1798].speaker SPEAKER_01
transcript.pyannote[1798].start 9551.70284375
transcript.pyannote[1798].end 9553.35659375
transcript.pyannote[1799].speaker SPEAKER_01
transcript.pyannote[1799].start 9554.82471875
transcript.pyannote[1799].end 9556.17471875
transcript.pyannote[1800].speaker SPEAKER_01
transcript.pyannote[1800].start 9556.79909375
transcript.pyannote[1800].end 9560.95034375
transcript.pyannote[1801].speaker SPEAKER_01
transcript.pyannote[1801].start 9561.49034375
transcript.pyannote[1801].end 9561.87846875
transcript.pyannote[1802].speaker SPEAKER_01
transcript.pyannote[1802].start 9562.94159375
transcript.pyannote[1802].end 9572.30721875
transcript.pyannote[1803].speaker SPEAKER_01
transcript.pyannote[1803].start 9572.66159375
transcript.pyannote[1803].end 9586.92096875
transcript.pyannote[1804].speaker SPEAKER_01
transcript.pyannote[1804].start 9587.22471875
transcript.pyannote[1804].end 9599.52659375
transcript.pyannote[1805].speaker SPEAKER_13
transcript.pyannote[1805].start 9600.37034375
transcript.pyannote[1805].end 9601.12971875
transcript.pyannote[1806].speaker SPEAKER_01
transcript.pyannote[1806].start 9600.80909375
transcript.pyannote[1806].end 9602.05784375
transcript.pyannote[1807].speaker SPEAKER_13
transcript.pyannote[1807].start 9602.68221875
transcript.pyannote[1807].end 9614.22471875
transcript.pyannote[1808].speaker SPEAKER_01
transcript.pyannote[1808].start 9612.28409375
transcript.pyannote[1808].end 9615.05159375
transcript.pyannote[1809].speaker SPEAKER_13
transcript.pyannote[1809].start 9615.08534375
transcript.pyannote[1809].end 9629.09159375
transcript.pyannote[1810].speaker SPEAKER_01
transcript.pyannote[1810].start 9627.55596875
transcript.pyannote[1810].end 9641.86596875
transcript.pyannote[1811].speaker SPEAKER_13
transcript.pyannote[1811].start 9629.31096875
transcript.pyannote[1811].end 9631.25159375
transcript.pyannote[1812].speaker SPEAKER_27
transcript.pyannote[1812].start 9634.08659375
transcript.pyannote[1812].end 9634.44096875
transcript.pyannote[1813].speaker SPEAKER_27
transcript.pyannote[1813].start 9637.61346875
transcript.pyannote[1813].end 9638.69346875
transcript.pyannote[1814].speaker SPEAKER_27
transcript.pyannote[1814].start 9640.63409375
transcript.pyannote[1814].end 9640.66784375
transcript.pyannote[1815].speaker SPEAKER_13
transcript.pyannote[1815].start 9640.66784375
transcript.pyannote[1815].end 9640.98846875
transcript.pyannote[1816].speaker SPEAKER_13
transcript.pyannote[1816].start 9642.22034375
transcript.pyannote[1816].end 9642.52409375
transcript.pyannote[1817].speaker SPEAKER_01
transcript.pyannote[1817].start 9642.38909375
transcript.pyannote[1817].end 9644.22846875
transcript.pyannote[1818].speaker SPEAKER_13
transcript.pyannote[1818].start 9644.53221875
transcript.pyannote[1818].end 9648.00846875
transcript.pyannote[1819].speaker SPEAKER_01
transcript.pyannote[1819].start 9646.32096875
transcript.pyannote[1819].end 9649.25721875
transcript.pyannote[1820].speaker SPEAKER_13
transcript.pyannote[1820].start 9649.93221875
transcript.pyannote[1820].end 9649.98284375
transcript.pyannote[1821].speaker SPEAKER_01
transcript.pyannote[1821].start 9649.98284375
transcript.pyannote[1821].end 9651.45096875
transcript.pyannote[1822].speaker SPEAKER_13
transcript.pyannote[1822].start 9649.99971875
transcript.pyannote[1822].end 9650.08409375
transcript.pyannote[1823].speaker SPEAKER_01
transcript.pyannote[1823].start 9651.77159375
transcript.pyannote[1823].end 9652.88534375
transcript.pyannote[1824].speaker SPEAKER_01
transcript.pyannote[1824].start 9653.10471875
transcript.pyannote[1824].end 9654.18471875
transcript.pyannote[1825].speaker SPEAKER_13
transcript.pyannote[1825].start 9654.99471875
transcript.pyannote[1825].end 9655.33221875
transcript.pyannote[1826].speaker SPEAKER_01
transcript.pyannote[1826].start 9655.38284375
transcript.pyannote[1826].end 9658.79159375
transcript.pyannote[1827].speaker SPEAKER_01
transcript.pyannote[1827].start 9658.99409375
transcript.pyannote[1827].end 9672.35909375
transcript.pyannote[1828].speaker SPEAKER_01
transcript.pyannote[1828].start 9672.57846875
transcript.pyannote[1828].end 9676.27409375
transcript.pyannote[1829].speaker SPEAKER_13
transcript.pyannote[1829].start 9676.61159375
transcript.pyannote[1829].end 9688.57596875
transcript.pyannote[1830].speaker SPEAKER_01
transcript.pyannote[1830].start 9687.79971875
transcript.pyannote[1830].end 9700.11846875
transcript.pyannote[1831].speaker SPEAKER_13
transcript.pyannote[1831].start 9690.97221875
transcript.pyannote[1831].end 9692.05221875
transcript.pyannote[1832].speaker SPEAKER_13
transcript.pyannote[1832].start 9694.07721875
transcript.pyannote[1832].end 9694.14471875
transcript.pyannote[1833].speaker SPEAKER_27
transcript.pyannote[1833].start 9694.14471875
transcript.pyannote[1833].end 9694.16159375
transcript.pyannote[1834].speaker SPEAKER_27
transcript.pyannote[1834].start 9698.32971875
transcript.pyannote[1834].end 9698.71784375
transcript.pyannote[1835].speaker SPEAKER_13
transcript.pyannote[1835].start 9698.71784375
transcript.pyannote[1835].end 9698.73471875
transcript.pyannote[1836].speaker SPEAKER_13
transcript.pyannote[1836].start 9700.42221875
transcript.pyannote[1836].end 9700.43909375
transcript.pyannote[1837].speaker SPEAKER_01
transcript.pyannote[1837].start 9700.43909375
transcript.pyannote[1837].end 9703.54409375
transcript.pyannote[1838].speaker SPEAKER_13
transcript.pyannote[1838].start 9700.48971875
transcript.pyannote[1838].end 9700.94534375
transcript.pyannote[1839].speaker SPEAKER_01
transcript.pyannote[1839].start 9704.15159375
transcript.pyannote[1839].end 9706.63221875
transcript.pyannote[1840].speaker SPEAKER_01
transcript.pyannote[1840].start 9707.05409375
transcript.pyannote[1840].end 9713.75346875
transcript.pyannote[1841].speaker SPEAKER_13
transcript.pyannote[1841].start 9714.09096875
transcript.pyannote[1841].end 9714.49596875
transcript.pyannote[1842].speaker SPEAKER_01
transcript.pyannote[1842].start 9714.86721875
transcript.pyannote[1842].end 9720.68909375
transcript.pyannote[1843].speaker SPEAKER_13
transcript.pyannote[1843].start 9720.82409375
transcript.pyannote[1843].end 9726.64596875
transcript.pyannote[1844].speaker SPEAKER_01
transcript.pyannote[1844].start 9725.68409375
transcript.pyannote[1844].end 9729.95346875
transcript.pyannote[1845].speaker SPEAKER_13
transcript.pyannote[1845].start 9727.70909375
transcript.pyannote[1845].end 9728.33346875
transcript.pyannote[1846].speaker SPEAKER_13
transcript.pyannote[1846].start 9729.71721875
transcript.pyannote[1846].end 9730.13909375
transcript.pyannote[1847].speaker SPEAKER_01
transcript.pyannote[1847].start 9730.00409375
transcript.pyannote[1847].end 9733.76721875
transcript.pyannote[1848].speaker SPEAKER_13
transcript.pyannote[1848].start 9731.35409375
transcript.pyannote[1848].end 9732.02909375
transcript.pyannote[1849].speaker SPEAKER_13
transcript.pyannote[1849].start 9733.76721875
transcript.pyannote[1849].end 9734.29034375
transcript.pyannote[1850].speaker SPEAKER_01
transcript.pyannote[1850].start 9733.96971875
transcript.pyannote[1850].end 9737.17596875
transcript.pyannote[1851].speaker SPEAKER_13
transcript.pyannote[1851].start 9737.17596875
transcript.pyannote[1851].end 9741.22596875
transcript.pyannote[1852].speaker SPEAKER_01
transcript.pyannote[1852].start 9738.79596875
transcript.pyannote[1852].end 9743.09909375
transcript.pyannote[1853].speaker SPEAKER_13
transcript.pyannote[1853].start 9741.41159375
transcript.pyannote[1853].end 9742.96409375
transcript.pyannote[1854].speaker SPEAKER_13
transcript.pyannote[1854].start 9743.36909375
transcript.pyannote[1854].end 9746.72721875
transcript.pyannote[1855].speaker SPEAKER_01
transcript.pyannote[1855].start 9743.70659375
transcript.pyannote[1855].end 9745.30971875
transcript.pyannote[1856].speaker SPEAKER_01
transcript.pyannote[1856].start 9746.22096875
transcript.pyannote[1856].end 9747.43596875
transcript.pyannote[1857].speaker SPEAKER_01
transcript.pyannote[1857].start 9747.53721875
transcript.pyannote[1857].end 9758.74221875
transcript.pyannote[1858].speaker SPEAKER_13
transcript.pyannote[1858].start 9750.86159375
transcript.pyannote[1858].end 9751.16534375
transcript.pyannote[1859].speaker SPEAKER_13
transcript.pyannote[1859].start 9753.29159375
transcript.pyannote[1859].end 9753.67971875
transcript.pyannote[1860].speaker SPEAKER_27
transcript.pyannote[1860].start 9756.26159375
transcript.pyannote[1860].end 9756.68346875
transcript.pyannote[1861].speaker SPEAKER_01
transcript.pyannote[1861].start 9758.94471875
transcript.pyannote[1861].end 9769.49159375
transcript.pyannote[1862].speaker SPEAKER_27
transcript.pyannote[1862].start 9759.53534375
transcript.pyannote[1862].end 9759.90659375
transcript.pyannote[1863].speaker SPEAKER_13
transcript.pyannote[1863].start 9762.75846875
transcript.pyannote[1863].end 9762.77534375
transcript.pyannote[1864].speaker SPEAKER_27
transcript.pyannote[1864].start 9762.77534375
transcript.pyannote[1864].end 9762.79221875
transcript.pyannote[1865].speaker SPEAKER_13
transcript.pyannote[1865].start 9762.79221875
transcript.pyannote[1865].end 9762.99471875
transcript.pyannote[1866].speaker SPEAKER_27
transcript.pyannote[1866].start 9762.99471875
transcript.pyannote[1866].end 9763.04534375
transcript.pyannote[1867].speaker SPEAKER_27
transcript.pyannote[1867].start 9769.49159375
transcript.pyannote[1867].end 9769.96409375
transcript.pyannote[1868].speaker SPEAKER_01
transcript.pyannote[1868].start 9770.06534375
transcript.pyannote[1868].end 9776.17409375
transcript.pyannote[1869].speaker SPEAKER_27
transcript.pyannote[1869].start 9771.61784375
transcript.pyannote[1869].end 9772.14096875
transcript.pyannote[1870].speaker SPEAKER_01
transcript.pyannote[1870].start 9776.57909375
transcript.pyannote[1870].end 9781.15221875
transcript.pyannote[1871].speaker SPEAKER_13
transcript.pyannote[1871].start 9781.43909375
transcript.pyannote[1871].end 9791.90159375
transcript.pyannote[1872].speaker SPEAKER_01
transcript.pyannote[1872].start 9781.52346875
transcript.pyannote[1872].end 9782.14784375
transcript.pyannote[1873].speaker SPEAKER_01
transcript.pyannote[1873].start 9785.08409375
transcript.pyannote[1873].end 9785.91096875
transcript.pyannote[1874].speaker SPEAKER_01
transcript.pyannote[1874].start 9790.90596875
transcript.pyannote[1874].end 9792.00284375
transcript.pyannote[1875].speaker SPEAKER_13
transcript.pyannote[1875].start 9792.86346875
transcript.pyannote[1875].end 9793.03221875
transcript.pyannote[1876].speaker SPEAKER_01
transcript.pyannote[1876].start 9793.03221875
transcript.pyannote[1876].end 9794.31471875
transcript.pyannote[1877].speaker SPEAKER_13
transcript.pyannote[1877].start 9794.78721875
transcript.pyannote[1877].end 9795.10784375
transcript.pyannote[1878].speaker SPEAKER_01
transcript.pyannote[1878].start 9795.22596875
transcript.pyannote[1878].end 9796.62659375
transcript.pyannote[1879].speaker SPEAKER_13
transcript.pyannote[1879].start 9796.62659375
transcript.pyannote[1879].end 9798.31409375
transcript.pyannote[1880].speaker SPEAKER_01
transcript.pyannote[1880].start 9797.04846875
transcript.pyannote[1880].end 9800.10284375
transcript.pyannote[1881].speaker SPEAKER_01
transcript.pyannote[1881].start 9800.49096875
transcript.pyannote[1881].end 9805.87409375
transcript.pyannote[1882].speaker SPEAKER_13
transcript.pyannote[1882].start 9805.92471875
transcript.pyannote[1882].end 9809.51909375
transcript.pyannote[1883].speaker SPEAKER_01
transcript.pyannote[1883].start 9808.32096875
transcript.pyannote[1883].end 9815.88096875
transcript.pyannote[1884].speaker SPEAKER_13
transcript.pyannote[1884].start 9810.10971875
transcript.pyannote[1884].end 9810.64971875
transcript.pyannote[1885].speaker SPEAKER_13
transcript.pyannote[1885].start 9815.96534375
transcript.pyannote[1885].end 9816.50534375
transcript.pyannote[1886].speaker SPEAKER_13
transcript.pyannote[1886].start 9816.74159375
transcript.pyannote[1886].end 9834.69659375
transcript.pyannote[1887].speaker SPEAKER_01
transcript.pyannote[1887].start 9817.38284375
transcript.pyannote[1887].end 9817.90596875
transcript.pyannote[1888].speaker SPEAKER_01
transcript.pyannote[1888].start 9821.44971875
transcript.pyannote[1888].end 9822.54659375
transcript.pyannote[1889].speaker SPEAKER_01
transcript.pyannote[1889].start 9832.04721875
transcript.pyannote[1889].end 9833.09346875
transcript.pyannote[1890].speaker SPEAKER_01
transcript.pyannote[1890].start 9835.16909375
transcript.pyannote[1890].end 9839.82659375
transcript.pyannote[1891].speaker SPEAKER_13
transcript.pyannote[1891].start 9835.25346875
transcript.pyannote[1891].end 9836.31659375
transcript.pyannote[1892].speaker SPEAKER_13
transcript.pyannote[1892].start 9839.82659375
transcript.pyannote[1892].end 9840.56909375
transcript.pyannote[1893].speaker SPEAKER_01
transcript.pyannote[1893].start 9840.56909375
transcript.pyannote[1893].end 9846.76221875
transcript.pyannote[1894].speaker SPEAKER_13
transcript.pyannote[1894].start 9843.64034375
transcript.pyannote[1894].end 9844.21409375
transcript.pyannote[1895].speaker SPEAKER_13
transcript.pyannote[1895].start 9845.05784375
transcript.pyannote[1895].end 9845.66534375
transcript.pyannote[1896].speaker SPEAKER_13
transcript.pyannote[1896].start 9846.57659375
transcript.pyannote[1896].end 9846.84659375
transcript.pyannote[1897].speaker SPEAKER_01
transcript.pyannote[1897].start 9846.77909375
transcript.pyannote[1897].end 9849.61409375
transcript.pyannote[1898].speaker SPEAKER_13
transcript.pyannote[1898].start 9849.81659375
transcript.pyannote[1898].end 9850.25534375
transcript.pyannote[1899].speaker SPEAKER_01
transcript.pyannote[1899].start 9850.25534375
transcript.pyannote[1899].end 9853.41096875
transcript.pyannote[1900].speaker SPEAKER_01
transcript.pyannote[1900].start 9853.90034375
transcript.pyannote[1900].end 9855.23346875
transcript.pyannote[1901].speaker SPEAKER_13
transcript.pyannote[1901].start 9854.03534375
transcript.pyannote[1901].end 9857.83221875
transcript.pyannote[1902].speaker SPEAKER_01
transcript.pyannote[1902].start 9856.61721875
transcript.pyannote[1902].end 9860.16096875
transcript.pyannote[1903].speaker SPEAKER_13
transcript.pyannote[1903].start 9860.16096875
transcript.pyannote[1903].end 9860.58284375
transcript.pyannote[1904].speaker SPEAKER_01
transcript.pyannote[1904].start 9860.58284375
transcript.pyannote[1904].end 9862.01721875
transcript.pyannote[1905].speaker SPEAKER_01
transcript.pyannote[1905].start 9862.23659375
transcript.pyannote[1905].end 9865.32471875
transcript.pyannote[1906].speaker SPEAKER_01
transcript.pyannote[1906].start 9865.61159375
transcript.pyannote[1906].end 9868.32846875
transcript.pyannote[1907].speaker SPEAKER_32
transcript.pyannote[1907].start 9868.80096875
transcript.pyannote[1907].end 9868.90221875
transcript.pyannote[1908].speaker SPEAKER_13
transcript.pyannote[1908].start 9868.90221875
transcript.pyannote[1908].end 9868.95284375
transcript.pyannote[1909].speaker SPEAKER_01
transcript.pyannote[1909].start 9868.96971875
transcript.pyannote[1909].end 9869.03721875
transcript.pyannote[1910].speaker SPEAKER_01
transcript.pyannote[1910].start 9869.05409375
transcript.pyannote[1910].end 9872.58096875
transcript.pyannote[1911].speaker SPEAKER_29
transcript.pyannote[1911].start 9869.67846875
transcript.pyannote[1911].end 9869.71221875
transcript.pyannote[1912].speaker SPEAKER_32
transcript.pyannote[1912].start 9869.71221875
transcript.pyannote[1912].end 9869.96534375
transcript.pyannote[1913].speaker SPEAKER_29
transcript.pyannote[1913].start 9869.96534375
transcript.pyannote[1913].end 9870.01596875
transcript.pyannote[1914].speaker SPEAKER_32
transcript.pyannote[1914].start 9871.38284375
transcript.pyannote[1914].end 9871.63596875
transcript.pyannote[1915].speaker SPEAKER_13
transcript.pyannote[1915].start 9871.63596875
transcript.pyannote[1915].end 9871.66971875
transcript.pyannote[1916].speaker SPEAKER_01
transcript.pyannote[1916].start 9872.59784375
transcript.pyannote[1916].end 9875.29784375
transcript.pyannote[1917].speaker SPEAKER_23
transcript.pyannote[1917].start 9872.95221875
transcript.pyannote[1917].end 9872.96909375
transcript.pyannote[1918].speaker SPEAKER_32
transcript.pyannote[1918].start 9872.96909375
transcript.pyannote[1918].end 9873.15471875
transcript.pyannote[1919].speaker SPEAKER_13
transcript.pyannote[1919].start 9873.15471875
transcript.pyannote[1919].end 9873.20534375
transcript.pyannote[1920].speaker SPEAKER_01
transcript.pyannote[1920].start 9875.92221875
transcript.pyannote[1920].end 9877.45784375
transcript.pyannote[1921].speaker SPEAKER_01
transcript.pyannote[1921].start 9877.81221875
transcript.pyannote[1921].end 9879.49971875
transcript.pyannote[1922].speaker SPEAKER_13
transcript.pyannote[1922].start 9880.19159375
transcript.pyannote[1922].end 9883.97159375
transcript.pyannote[1923].speaker SPEAKER_01
transcript.pyannote[1923].start 9880.41096875
transcript.pyannote[1923].end 9881.92971875
transcript.pyannote[1924].speaker SPEAKER_01
transcript.pyannote[1924].start 9883.65096875
transcript.pyannote[1924].end 9884.20784375
transcript.pyannote[1925].speaker SPEAKER_01
transcript.pyannote[1925].start 9884.25846875
transcript.pyannote[1925].end 9884.96721875
transcript.pyannote[1926].speaker SPEAKER_01
transcript.pyannote[1926].start 9885.96284375
transcript.pyannote[1926].end 9889.20284375
transcript.pyannote[1927].speaker SPEAKER_01
transcript.pyannote[1927].start 9890.08034375
transcript.pyannote[1927].end 9890.95784375
transcript.pyannote[1928].speaker SPEAKER_01
transcript.pyannote[1928].start 9891.56534375
transcript.pyannote[1928].end 9895.46346875
transcript.pyannote[1929].speaker SPEAKER_01
transcript.pyannote[1929].start 9896.27346875
transcript.pyannote[1929].end 9897.40409375
transcript.pyannote[1930].speaker SPEAKER_27
transcript.pyannote[1930].start 9897.57284375
transcript.pyannote[1930].end 9897.74159375
transcript.pyannote[1931].speaker SPEAKER_01
transcript.pyannote[1931].start 9898.12971875
transcript.pyannote[1931].end 9899.07471875
transcript.pyannote[1932].speaker SPEAKER_01
transcript.pyannote[1932].start 9899.32784375
transcript.pyannote[1932].end 9907.57971875
transcript.pyannote[1933].speaker SPEAKER_01
transcript.pyannote[1933].start 9907.69784375
transcript.pyannote[1933].end 9916.81034375
transcript.pyannote[1934].speaker SPEAKER_31
transcript.pyannote[1934].start 9909.84096875
transcript.pyannote[1934].end 9909.85784375
transcript.pyannote[1935].speaker SPEAKER_01
transcript.pyannote[1935].start 9917.72159375
transcript.pyannote[1935].end 9919.13909375
transcript.pyannote[1936].speaker SPEAKER_01
transcript.pyannote[1936].start 9919.51034375
transcript.pyannote[1936].end 9920.64096875
transcript.pyannote[1937].speaker SPEAKER_01
transcript.pyannote[1937].start 9921.82221875
transcript.pyannote[1937].end 9938.98409375
transcript.pyannote[1938].speaker SPEAKER_01
transcript.pyannote[1938].start 9939.43971875
transcript.pyannote[1938].end 9941.63346875
transcript.pyannote[1939].speaker SPEAKER_01
transcript.pyannote[1939].start 9941.85284375
transcript.pyannote[1939].end 9943.33784375
transcript.pyannote[1940].speaker SPEAKER_03
transcript.pyannote[1940].start 9943.82721875
transcript.pyannote[1940].end 9944.13096875
transcript.pyannote[1941].speaker SPEAKER_01
transcript.pyannote[1941].start 9944.31659375
transcript.pyannote[1941].end 9947.38784375
transcript.pyannote[1942].speaker SPEAKER_01
transcript.pyannote[1942].start 9948.09659375
transcript.pyannote[1942].end 9948.65346875
transcript.pyannote[1943].speaker SPEAKER_01
transcript.pyannote[1943].start 9950.03721875
transcript.pyannote[1943].end 9962.74409375
transcript.pyannote[1944].speaker SPEAKER_06
transcript.pyannote[1944].start 9962.74409375
transcript.pyannote[1944].end 9962.99721875
transcript.pyannote[1945].speaker SPEAKER_01
transcript.pyannote[1945].start 9963.41909375
transcript.pyannote[1945].end 9963.43596875
transcript.pyannote[1946].speaker SPEAKER_06
transcript.pyannote[1946].start 9963.43596875
transcript.pyannote[1946].end 9973.61159375
transcript.pyannote[1947].speaker SPEAKER_01
transcript.pyannote[1947].start 9972.75096875
transcript.pyannote[1947].end 9973.78034375
transcript.pyannote[1948].speaker SPEAKER_01
transcript.pyannote[1948].start 9974.18534375
transcript.pyannote[1948].end 9974.26971875
transcript.pyannote[1949].speaker SPEAKER_01
transcript.pyannote[1949].start 9974.59034375
transcript.pyannote[1949].end 10002.07971875
transcript.pyannote[1950].speaker SPEAKER_05
transcript.pyannote[1950].start 9982.80846875
transcript.pyannote[1950].end 9983.09534375
transcript.pyannote[1951].speaker SPEAKER_01
transcript.pyannote[1951].start 10003.22721875
transcript.pyannote[1951].end 10012.47471875
transcript.pyannote[1952].speaker SPEAKER_01
transcript.pyannote[1952].start 10012.62659375
transcript.pyannote[1952].end 10017.41909375
transcript.pyannote[1953].speaker SPEAKER_01
transcript.pyannote[1953].start 10017.99284375
transcript.pyannote[1953].end 10022.02596875
transcript.pyannote[1954].speaker SPEAKER_06
transcript.pyannote[1954].start 10022.02596875
transcript.pyannote[1954].end 10028.38784375
transcript.pyannote[1955].speaker SPEAKER_01
transcript.pyannote[1955].start 10024.21971875
transcript.pyannote[1955].end 10027.45971875
transcript.pyannote[1956].speaker SPEAKER_16
transcript.pyannote[1956].start 10033.83846875
transcript.pyannote[1956].end 10035.69471875
transcript.pyannote[1957].speaker SPEAKER_16
transcript.pyannote[1957].start 10036.60596875
transcript.pyannote[1957].end 10039.35659375
transcript.pyannote[1958].speaker SPEAKER_14
transcript.pyannote[1958].start 10053.32909375
transcript.pyannote[1958].end 10058.34096875
transcript.pyannote[1959].speaker SPEAKER_14
transcript.pyannote[1959].start 10059.16784375
transcript.pyannote[1959].end 10061.34471875
transcript.pyannote[1960].speaker SPEAKER_14
transcript.pyannote[1960].start 10061.66534375
transcript.pyannote[1960].end 10064.06159375
transcript.pyannote[1961].speaker SPEAKER_14
transcript.pyannote[1961].start 10064.48346875
transcript.pyannote[1961].end 10070.81159375
transcript.pyannote[1962].speaker SPEAKER_24
transcript.pyannote[1962].start 10070.67659375
transcript.pyannote[1962].end 10071.40221875
transcript.pyannote[1963].speaker SPEAKER_14
transcript.pyannote[1963].start 10071.48659375
transcript.pyannote[1963].end 10076.02596875
transcript.pyannote[1964].speaker SPEAKER_14
transcript.pyannote[1964].start 10076.12721875
transcript.pyannote[1964].end 10076.59971875
transcript.pyannote[1965].speaker SPEAKER_14
transcript.pyannote[1965].start 10077.74721875
transcript.pyannote[1965].end 10080.36284375
transcript.pyannote[1966].speaker SPEAKER_14
transcript.pyannote[1966].start 10080.85221875
transcript.pyannote[1966].end 10084.24409375
transcript.pyannote[1967].speaker SPEAKER_14
transcript.pyannote[1967].start 10084.78409375
transcript.pyannote[1967].end 10085.71221875
transcript.pyannote[1968].speaker SPEAKER_14
transcript.pyannote[1968].start 10086.42096875
transcript.pyannote[1968].end 10088.20971875
transcript.pyannote[1969].speaker SPEAKER_14
transcript.pyannote[1969].start 10089.45846875
transcript.pyannote[1969].end 10090.20096875
transcript.pyannote[1970].speaker SPEAKER_14
transcript.pyannote[1970].start 10090.97721875
transcript.pyannote[1970].end 10091.51721875
transcript.pyannote[1971].speaker SPEAKER_14
transcript.pyannote[1971].start 10091.61846875
transcript.pyannote[1971].end 10092.34409375
transcript.pyannote[1972].speaker SPEAKER_14
transcript.pyannote[1972].start 10093.77846875
transcript.pyannote[1972].end 10094.70659375
transcript.pyannote[1973].speaker SPEAKER_14
transcript.pyannote[1973].start 10095.85409375
transcript.pyannote[1973].end 10097.64284375
transcript.pyannote[1974].speaker SPEAKER_14
transcript.pyannote[1974].start 10098.18284375
transcript.pyannote[1974].end 10100.52846875
transcript.pyannote[1975].speaker SPEAKER_14
transcript.pyannote[1975].start 10101.08534375
transcript.pyannote[1975].end 10102.55346875
transcript.pyannote[1976].speaker SPEAKER_14
transcript.pyannote[1976].start 10103.29596875
transcript.pyannote[1976].end 10103.90346875
transcript.pyannote[1977].speaker SPEAKER_14
transcript.pyannote[1977].start 10105.21971875
transcript.pyannote[1977].end 10107.64971875
transcript.pyannote[1978].speaker SPEAKER_14
transcript.pyannote[1978].start 10108.17284375
transcript.pyannote[1978].end 10110.70409375
transcript.pyannote[1979].speaker SPEAKER_14
transcript.pyannote[1979].start 10111.15971875
transcript.pyannote[1979].end 10112.07096875
transcript.pyannote[1980].speaker SPEAKER_14
transcript.pyannote[1980].start 10112.17221875
transcript.pyannote[1980].end 10114.28159375
transcript.pyannote[1981].speaker SPEAKER_14
transcript.pyannote[1981].start 10114.45034375
transcript.pyannote[1981].end 10115.39534375
transcript.pyannote[1982].speaker SPEAKER_14
transcript.pyannote[1982].start 10116.57659375
transcript.pyannote[1982].end 10116.99846875
transcript.pyannote[1983].speaker SPEAKER_14
transcript.pyannote[1983].start 10117.31909375
transcript.pyannote[1983].end 10118.80409375
transcript.pyannote[1984].speaker SPEAKER_14
transcript.pyannote[1984].start 10118.97284375
transcript.pyannote[1984].end 10120.49159375
transcript.pyannote[1985].speaker SPEAKER_06
transcript.pyannote[1985].start 10121.68971875
transcript.pyannote[1985].end 10129.31721875
transcript.pyannote[1986].speaker SPEAKER_14
transcript.pyannote[1986].start 10127.29221875
transcript.pyannote[1986].end 10129.30034375
transcript.pyannote[1987].speaker SPEAKER_14
transcript.pyannote[1987].start 10129.31721875
transcript.pyannote[1987].end 10129.63784375
transcript.pyannote[1988].speaker SPEAKER_06
transcript.pyannote[1988].start 10129.63784375
transcript.pyannote[1988].end 10143.69471875
transcript.pyannote[1989].speaker SPEAKER_14
transcript.pyannote[1989].start 10138.73346875
transcript.pyannote[1989].end 10147.12034375
transcript.pyannote[1990].speaker SPEAKER_06
transcript.pyannote[1990].start 10144.74096875
transcript.pyannote[1990].end 10144.92659375
transcript.pyannote[1991].speaker SPEAKER_06
transcript.pyannote[1991].start 10146.88409375
transcript.pyannote[1991].end 10147.64346875
transcript.pyannote[1992].speaker SPEAKER_14
transcript.pyannote[1992].start 10147.60971875
transcript.pyannote[1992].end 10151.91284375
transcript.pyannote[1993].speaker SPEAKER_06
transcript.pyannote[1993].start 10148.68971875
transcript.pyannote[1993].end 10148.84159375
transcript.pyannote[1994].speaker SPEAKER_06
transcript.pyannote[1994].start 10151.91284375
transcript.pyannote[1994].end 10152.85784375
transcript.pyannote[1995].speaker SPEAKER_14
transcript.pyannote[1995].start 10152.57096875
transcript.pyannote[1995].end 10159.05096875
transcript.pyannote[1996].speaker SPEAKER_06
transcript.pyannote[1996].start 10159.05096875
transcript.pyannote[1996].end 10161.88596875
transcript.pyannote[1997].speaker SPEAKER_14
transcript.pyannote[1997].start 10159.06784375
transcript.pyannote[1997].end 10159.42221875
transcript.pyannote[1998].speaker SPEAKER_14
transcript.pyannote[1998].start 10161.88596875
transcript.pyannote[1998].end 10161.97034375
transcript.pyannote[1999].speaker SPEAKER_06
transcript.pyannote[1999].start 10161.97034375
transcript.pyannote[1999].end 10162.03784375
transcript.pyannote[2000].speaker SPEAKER_14
transcript.pyannote[2000].start 10162.03784375
transcript.pyannote[2000].end 10162.40909375
transcript.pyannote[2001].speaker SPEAKER_06
transcript.pyannote[2001].start 10162.40909375
transcript.pyannote[2001].end 10167.10034375
transcript.pyannote[2002].speaker SPEAKER_14
transcript.pyannote[2002].start 10162.45971875
transcript.pyannote[2002].end 10163.33721875
transcript.pyannote[2003].speaker SPEAKER_14
transcript.pyannote[2003].start 10165.64909375
transcript.pyannote[2003].end 10169.96909375
transcript.pyannote[2004].speaker SPEAKER_06
transcript.pyannote[2004].start 10168.41659375
transcript.pyannote[2004].end 10169.15909375
transcript.pyannote[2005].speaker SPEAKER_06
transcript.pyannote[2005].start 10169.49659375
transcript.pyannote[2005].end 10173.98534375
transcript.pyannote[2006].speaker SPEAKER_14
transcript.pyannote[2006].start 10172.85471875
transcript.pyannote[2006].end 10176.97221875
transcript.pyannote[2007].speaker SPEAKER_14
transcript.pyannote[2007].start 10177.32659375
transcript.pyannote[2007].end 10184.86971875
transcript.pyannote[2008].speaker SPEAKER_06
transcript.pyannote[2008].start 10185.07221875
transcript.pyannote[2008].end 10188.61596875
transcript.pyannote[2009].speaker SPEAKER_14
transcript.pyannote[2009].start 10186.47284375
transcript.pyannote[2009].end 10188.31221875
transcript.pyannote[2010].speaker SPEAKER_14
transcript.pyannote[2010].start 10188.61596875
transcript.pyannote[2010].end 10190.20221875
transcript.pyannote[2011].speaker SPEAKER_14
transcript.pyannote[2011].start 10190.60721875
transcript.pyannote[2011].end 10194.77534375
transcript.pyannote[2012].speaker SPEAKER_14
transcript.pyannote[2012].start 10195.12971875
transcript.pyannote[2012].end 10197.34034375
transcript.pyannote[2013].speaker SPEAKER_06
transcript.pyannote[2013].start 10197.34034375
transcript.pyannote[2013].end 10197.74534375
transcript.pyannote[2014].speaker SPEAKER_14
transcript.pyannote[2014].start 10197.57659375
transcript.pyannote[2014].end 10205.25471875
transcript.pyannote[2015].speaker SPEAKER_06
transcript.pyannote[2015].start 10199.82096875
transcript.pyannote[2015].end 10200.07409375
transcript.pyannote[2016].speaker SPEAKER_14
transcript.pyannote[2016].start 10206.14909375
transcript.pyannote[2016].end 10207.78596875
transcript.pyannote[2017].speaker SPEAKER_14
transcript.pyannote[2017].start 10209.25409375
transcript.pyannote[2017].end 10212.27471875
transcript.pyannote[2018].speaker SPEAKER_14
transcript.pyannote[2018].start 10213.59096875
transcript.pyannote[2018].end 10215.39659375
transcript.pyannote[2019].speaker SPEAKER_14
transcript.pyannote[2019].start 10216.24034375
transcript.pyannote[2019].end 10217.38784375
transcript.pyannote[2020].speaker SPEAKER_14
transcript.pyannote[2020].start 10217.89409375
transcript.pyannote[2020].end 10218.75471875
transcript.pyannote[2021].speaker SPEAKER_14
transcript.pyannote[2021].start 10218.97409375
transcript.pyannote[2021].end 10220.57721875
transcript.pyannote[2022].speaker SPEAKER_06
transcript.pyannote[2022].start 10221.65721875
transcript.pyannote[2022].end 10227.47909375
transcript.pyannote[2023].speaker SPEAKER_14
transcript.pyannote[2023].start 10225.72409375
transcript.pyannote[2023].end 10233.38534375
transcript.pyannote[2024].speaker SPEAKER_06
transcript.pyannote[2024].start 10228.40721875
transcript.pyannote[2024].end 10229.08221875
transcript.pyannote[2025].speaker SPEAKER_06
transcript.pyannote[2025].start 10230.07784375
transcript.pyannote[2025].end 10238.75159375
transcript.pyannote[2026].speaker SPEAKER_06
transcript.pyannote[2026].start 10239.12284375
transcript.pyannote[2026].end 10240.65846875
transcript.pyannote[2027].speaker SPEAKER_14
transcript.pyannote[2027].start 10240.45596875
transcript.pyannote[2027].end 10247.23971875
transcript.pyannote[2028].speaker SPEAKER_06
transcript.pyannote[2028].start 10245.31596875
transcript.pyannote[2028].end 10245.82221875
transcript.pyannote[2029].speaker SPEAKER_14
transcript.pyannote[2029].start 10247.98221875
transcript.pyannote[2029].end 10248.89346875
transcript.pyannote[2030].speaker SPEAKER_14
transcript.pyannote[2030].start 10249.19721875
transcript.pyannote[2030].end 10254.52971875
transcript.pyannote[2031].speaker SPEAKER_14
transcript.pyannote[2031].start 10254.81659375
transcript.pyannote[2031].end 10258.34346875
transcript.pyannote[2032].speaker SPEAKER_14
transcript.pyannote[2032].start 10258.44471875
transcript.pyannote[2032].end 10261.24596875
transcript.pyannote[2033].speaker SPEAKER_14
transcript.pyannote[2033].start 10262.71409375
transcript.pyannote[2033].end 10263.59159375
transcript.pyannote[2034].speaker SPEAKER_14
transcript.pyannote[2034].start 10264.09784375
transcript.pyannote[2034].end 10269.54846875
transcript.pyannote[2035].speaker SPEAKER_14
transcript.pyannote[2035].start 10270.86471875
transcript.pyannote[2035].end 10274.29034375
transcript.pyannote[2036].speaker SPEAKER_06
transcript.pyannote[2036].start 10273.53096875
transcript.pyannote[2036].end 10278.15471875
transcript.pyannote[2037].speaker SPEAKER_14
transcript.pyannote[2037].start 10277.59784375
transcript.pyannote[2037].end 10281.12471875
transcript.pyannote[2038].speaker SPEAKER_06
transcript.pyannote[2038].start 10279.97721875
transcript.pyannote[2038].end 10280.44971875
transcript.pyannote[2039].speaker SPEAKER_06
transcript.pyannote[2039].start 10281.12471875
transcript.pyannote[2039].end 10282.81221875
transcript.pyannote[2040].speaker SPEAKER_14
transcript.pyannote[2040].start 10282.35659375
transcript.pyannote[2040].end 10284.24659375
transcript.pyannote[2041].speaker SPEAKER_14
transcript.pyannote[2041].start 10284.46596875
transcript.pyannote[2041].end 10285.02284375
transcript.pyannote[2042].speaker SPEAKER_14
transcript.pyannote[2042].start 10286.60909375
transcript.pyannote[2042].end 10287.45284375
transcript.pyannote[2043].speaker SPEAKER_06
transcript.pyannote[2043].start 10287.45284375
transcript.pyannote[2043].end 10287.46971875
transcript.pyannote[2044].speaker SPEAKER_06
transcript.pyannote[2044].start 10287.48659375
transcript.pyannote[2044].end 10287.73971875
transcript.pyannote[2045].speaker SPEAKER_14
transcript.pyannote[2045].start 10288.14471875
transcript.pyannote[2045].end 10289.03909375
transcript.pyannote[2046].speaker SPEAKER_14
transcript.pyannote[2046].start 10289.52846875
transcript.pyannote[2046].end 10295.56971875
transcript.pyannote[2047].speaker SPEAKER_00
transcript.pyannote[2047].start 10294.67534375
transcript.pyannote[2047].end 10294.82721875
transcript.pyannote[2048].speaker SPEAKER_14
transcript.pyannote[2048].start 10296.29534375
transcript.pyannote[2048].end 10299.18096875
transcript.pyannote[2049].speaker SPEAKER_14
transcript.pyannote[2049].start 10300.42971875
transcript.pyannote[2049].end 10304.09159375
transcript.pyannote[2050].speaker SPEAKER_14
transcript.pyannote[2050].start 10304.39534375
transcript.pyannote[2050].end 10308.37784375
transcript.pyannote[2051].speaker SPEAKER_14
transcript.pyannote[2051].start 10308.85034375
transcript.pyannote[2051].end 10314.75659375
transcript.pyannote[2052].speaker SPEAKER_14
transcript.pyannote[2052].start 10314.90846875
transcript.pyannote[2052].end 10315.68471875
transcript.pyannote[2053].speaker SPEAKER_14
transcript.pyannote[2053].start 10315.98846875
transcript.pyannote[2053].end 10320.22409375
transcript.pyannote[2054].speaker SPEAKER_14
transcript.pyannote[2054].start 10320.51096875
transcript.pyannote[2054].end 10324.30784375
transcript.pyannote[2055].speaker SPEAKER_14
transcript.pyannote[2055].start 10324.51034375
transcript.pyannote[2055].end 10328.72909375
transcript.pyannote[2056].speaker SPEAKER_06
transcript.pyannote[2056].start 10329.06659375
transcript.pyannote[2056].end 10336.30596875
transcript.pyannote[2057].speaker SPEAKER_14
transcript.pyannote[2057].start 10335.91784375
transcript.pyannote[2057].end 10336.35659375
transcript.pyannote[2058].speaker SPEAKER_06
transcript.pyannote[2058].start 10336.35659375
transcript.pyannote[2058].end 10336.96409375
transcript.pyannote[2059].speaker SPEAKER_14
transcript.pyannote[2059].start 10336.96409375
transcript.pyannote[2059].end 10337.08221875
transcript.pyannote[2060].speaker SPEAKER_06
transcript.pyannote[2060].start 10337.38596875
transcript.pyannote[2060].end 10337.43659375
transcript.pyannote[2061].speaker SPEAKER_14
transcript.pyannote[2061].start 10337.43659375
transcript.pyannote[2061].end 10341.40221875
transcript.pyannote[2062].speaker SPEAKER_06
transcript.pyannote[2062].start 10338.76971875
transcript.pyannote[2062].end 10338.97221875
transcript.pyannote[2063].speaker SPEAKER_06
transcript.pyannote[2063].start 10339.02284375
transcript.pyannote[2063].end 10339.27596875
transcript.pyannote[2064].speaker SPEAKER_32
transcript.pyannote[2064].start 10339.27596875
transcript.pyannote[2064].end 10339.30971875
transcript.pyannote[2065].speaker SPEAKER_32
transcript.pyannote[2065].start 10341.40221875
transcript.pyannote[2065].end 10341.84096875
transcript.pyannote[2066].speaker SPEAKER_14
transcript.pyannote[2066].start 10342.17846875
transcript.pyannote[2066].end 10347.35909375
transcript.pyannote[2067].speaker SPEAKER_07
transcript.pyannote[2067].start 10347.49409375
transcript.pyannote[2067].end 10348.89471875
transcript.pyannote[2068].speaker SPEAKER_14
transcript.pyannote[2068].start 10348.15221875
transcript.pyannote[2068].end 10352.47221875
transcript.pyannote[2069].speaker SPEAKER_14
transcript.pyannote[2069].start 10352.87721875
transcript.pyannote[2069].end 10355.98221875
transcript.pyannote[2070].speaker SPEAKER_14
transcript.pyannote[2070].start 10356.25221875
transcript.pyannote[2070].end 10358.47971875
transcript.pyannote[2071].speaker SPEAKER_14
transcript.pyannote[2071].start 10358.80034375
transcript.pyannote[2071].end 10360.11659375
transcript.pyannote[2072].speaker SPEAKER_14
transcript.pyannote[2072].start 10362.44534375
transcript.pyannote[2072].end 10362.91784375
transcript.pyannote[2073].speaker SPEAKER_14
transcript.pyannote[2073].start 10363.10346875
transcript.pyannote[2073].end 10363.42409375
transcript.pyannote[2074].speaker SPEAKER_14
transcript.pyannote[2074].start 10364.38596875
transcript.pyannote[2074].end 10378.13909375
transcript.pyannote[2075].speaker SPEAKER_14
transcript.pyannote[2075].start 10378.25721875
transcript.pyannote[2075].end 10380.78846875
transcript.pyannote[2076].speaker SPEAKER_14
transcript.pyannote[2076].start 10381.96971875
transcript.pyannote[2076].end 10382.40846875
transcript.pyannote[2077].speaker SPEAKER_14
transcript.pyannote[2077].start 10382.67846875
transcript.pyannote[2077].end 10383.74159375
transcript.pyannote[2078].speaker SPEAKER_14
transcript.pyannote[2078].start 10384.38284375
transcript.pyannote[2078].end 10385.19284375
transcript.pyannote[2079].speaker SPEAKER_14
transcript.pyannote[2079].start 10387.18409375
transcript.pyannote[2079].end 10387.63971875
transcript.pyannote[2080].speaker SPEAKER_14
transcript.pyannote[2080].start 10388.97284375
transcript.pyannote[2080].end 10389.51284375
transcript.pyannote[2081].speaker SPEAKER_14
transcript.pyannote[2081].start 10390.13721875
transcript.pyannote[2081].end 10391.38596875
transcript.pyannote[2082].speaker SPEAKER_14
transcript.pyannote[2082].start 10392.98909375
transcript.pyannote[2082].end 10393.73159375
transcript.pyannote[2083].speaker SPEAKER_14
transcript.pyannote[2083].start 10394.99721875
transcript.pyannote[2083].end 10397.86596875
transcript.pyannote[2084].speaker SPEAKER_14
transcript.pyannote[2084].start 10397.96721875
transcript.pyannote[2084].end 10404.02534375
transcript.pyannote[2085].speaker SPEAKER_14
transcript.pyannote[2085].start 10404.51471875
transcript.pyannote[2085].end 10405.34159375
transcript.pyannote[2086].speaker SPEAKER_14
transcript.pyannote[2086].start 10405.79721875
transcript.pyannote[2086].end 10406.57346875
transcript.pyannote[2087].speaker SPEAKER_14
transcript.pyannote[2087].start 10407.23159375
transcript.pyannote[2087].end 10407.90659375
transcript.pyannote[2088].speaker SPEAKER_14
transcript.pyannote[2088].start 10408.41284375
transcript.pyannote[2088].end 10410.10034375
transcript.pyannote[2089].speaker SPEAKER_14
transcript.pyannote[2089].start 10410.89346875
transcript.pyannote[2089].end 10415.19659375
transcript.pyannote[2090].speaker SPEAKER_14
transcript.pyannote[2090].start 10415.36534375
transcript.pyannote[2090].end 10416.73221875
transcript.pyannote[2091].speaker SPEAKER_14
transcript.pyannote[2091].start 10417.30596875
transcript.pyannote[2091].end 10419.53346875
transcript.pyannote[2092].speaker SPEAKER_14
transcript.pyannote[2092].start 10420.57971875
transcript.pyannote[2092].end 10422.57096875
transcript.pyannote[2093].speaker SPEAKER_14
transcript.pyannote[2093].start 10424.07284375
transcript.pyannote[2093].end 10426.60409375
transcript.pyannote[2094].speaker SPEAKER_14
transcript.pyannote[2094].start 10427.58284375
transcript.pyannote[2094].end 10428.25784375
transcript.pyannote[2095].speaker SPEAKER_14
transcript.pyannote[2095].start 10428.93284375
transcript.pyannote[2095].end 10432.05471875
transcript.pyannote[2096].speaker SPEAKER_14
transcript.pyannote[2096].start 10432.84784375
transcript.pyannote[2096].end 10434.43409375
transcript.pyannote[2097].speaker SPEAKER_14
transcript.pyannote[2097].start 10434.94034375
transcript.pyannote[2097].end 10435.15971875
transcript.pyannote[2098].speaker SPEAKER_14
transcript.pyannote[2098].start 10435.66596875
transcript.pyannote[2098].end 10440.71159375
transcript.pyannote[2099].speaker SPEAKER_14
transcript.pyannote[2099].start 10441.69034375
transcript.pyannote[2099].end 10442.73659375
transcript.pyannote[2100].speaker SPEAKER_14
transcript.pyannote[2100].start 10443.41159375
transcript.pyannote[2100].end 10444.87971875
transcript.pyannote[2101].speaker SPEAKER_14
transcript.pyannote[2101].start 10445.06534375
transcript.pyannote[2101].end 10447.03971875
transcript.pyannote[2102].speaker SPEAKER_14
transcript.pyannote[2102].start 10447.51221875
transcript.pyannote[2102].end 10448.32221875
transcript.pyannote[2103].speaker SPEAKER_14
transcript.pyannote[2103].start 10448.99721875
transcript.pyannote[2103].end 10451.66346875
transcript.pyannote[2104].speaker SPEAKER_14
transcript.pyannote[2104].start 10452.49034375
transcript.pyannote[2104].end 10456.15221875
transcript.pyannote[2105].speaker SPEAKER_14
transcript.pyannote[2105].start 10456.45596875
transcript.pyannote[2105].end 10459.69596875
transcript.pyannote[2106].speaker SPEAKER_14
transcript.pyannote[2106].start 10459.89846875
transcript.pyannote[2106].end 10462.19346875
transcript.pyannote[2107].speaker SPEAKER_14
transcript.pyannote[2107].start 10462.69971875
transcript.pyannote[2107].end 10469.58471875
transcript.pyannote[2108].speaker SPEAKER_14
transcript.pyannote[2108].start 10470.12471875
transcript.pyannote[2108].end 10472.03159375
transcript.pyannote[2109].speaker SPEAKER_14
transcript.pyannote[2109].start 10473.73596875
transcript.pyannote[2109].end 10475.06909375
transcript.pyannote[2110].speaker SPEAKER_14
transcript.pyannote[2110].start 10475.47409375
transcript.pyannote[2110].end 10478.20784375
transcript.pyannote[2111].speaker SPEAKER_14
transcript.pyannote[2111].start 10478.59596875
transcript.pyannote[2111].end 10484.26596875
transcript.pyannote[2112].speaker SPEAKER_14
transcript.pyannote[2112].start 10485.21096875
transcript.pyannote[2112].end 10487.55659375
transcript.pyannote[2113].speaker SPEAKER_14
transcript.pyannote[2113].start 10487.97846875
transcript.pyannote[2113].end 10489.24409375
transcript.pyannote[2114].speaker SPEAKER_14
transcript.pyannote[2114].start 10489.75034375
transcript.pyannote[2114].end 10491.72471875
transcript.pyannote[2115].speaker SPEAKER_14
transcript.pyannote[2115].start 10492.16346875
transcript.pyannote[2115].end 10493.47971875
transcript.pyannote[2116].speaker SPEAKER_14
transcript.pyannote[2116].start 10494.37409375
transcript.pyannote[2116].end 10496.16284375
transcript.pyannote[2117].speaker SPEAKER_14
transcript.pyannote[2117].start 10496.90534375
transcript.pyannote[2117].end 10497.64784375
transcript.pyannote[2118].speaker SPEAKER_14
transcript.pyannote[2118].start 10498.35659375
transcript.pyannote[2118].end 10499.03159375
transcript.pyannote[2119].speaker SPEAKER_14
transcript.pyannote[2119].start 10500.01034375
transcript.pyannote[2119].end 10505.37659375
transcript.pyannote[2120].speaker SPEAKER_14
transcript.pyannote[2120].start 10506.05159375
transcript.pyannote[2120].end 10509.88221875
transcript.pyannote[2121].speaker SPEAKER_14
transcript.pyannote[2121].start 10510.89471875
transcript.pyannote[2121].end 10513.00409375
transcript.pyannote[2122].speaker SPEAKER_14
transcript.pyannote[2122].start 10514.50596875
transcript.pyannote[2122].end 10515.95721875
transcript.pyannote[2123].speaker SPEAKER_14
transcript.pyannote[2123].start 10516.88534375
transcript.pyannote[2123].end 10518.01596875
transcript.pyannote[2124].speaker SPEAKER_14
transcript.pyannote[2124].start 10519.28159375
transcript.pyannote[2124].end 10522.80846875
transcript.pyannote[2125].speaker SPEAKER_14
transcript.pyannote[2125].start 10523.82096875
transcript.pyannote[2125].end 10525.39034375
transcript.pyannote[2126].speaker SPEAKER_14
transcript.pyannote[2126].start 10526.28471875
transcript.pyannote[2126].end 10527.92159375
transcript.pyannote[2127].speaker SPEAKER_14
transcript.pyannote[2127].start 10528.63034375
transcript.pyannote[2127].end 10531.48221875
transcript.pyannote[2128].speaker SPEAKER_14
transcript.pyannote[2128].start 10532.24159375
transcript.pyannote[2128].end 10532.61284375
transcript.pyannote[2129].speaker SPEAKER_14
transcript.pyannote[2129].start 10533.01784375
transcript.pyannote[2129].end 10534.04721875
transcript.pyannote[2130].speaker SPEAKER_14
transcript.pyannote[2130].start 10535.61659375
transcript.pyannote[2130].end 10543.59846875
transcript.pyannote[2131].speaker SPEAKER_10
transcript.pyannote[2131].start 10545.20159375
transcript.pyannote[2131].end 10545.21846875
transcript.pyannote[2132].speaker SPEAKER_14
transcript.pyannote[2132].start 10545.21846875
transcript.pyannote[2132].end 10547.09159375
transcript.pyannote[2133].speaker SPEAKER_10
transcript.pyannote[2133].start 10545.23534375
transcript.pyannote[2133].end 10545.91034375
transcript.pyannote[2134].speaker SPEAKER_10
transcript.pyannote[2134].start 10547.09159375
transcript.pyannote[2134].end 10548.15471875
transcript.pyannote[2135].speaker SPEAKER_14
transcript.pyannote[2135].start 10547.73284375
transcript.pyannote[2135].end 10550.44971875
transcript.pyannote[2136].speaker SPEAKER_14
transcript.pyannote[2136].start 10550.78721875
transcript.pyannote[2136].end 10552.05284375
transcript.pyannote[2137].speaker SPEAKER_14
transcript.pyannote[2137].start 10552.06971875
transcript.pyannote[2137].end 10552.77846875
transcript.pyannote[2138].speaker SPEAKER_14
transcript.pyannote[2138].start 10553.04846875
transcript.pyannote[2138].end 10554.76971875
transcript.pyannote[2139].speaker SPEAKER_14
transcript.pyannote[2139].start 10555.47846875
transcript.pyannote[2139].end 10556.54159375
transcript.pyannote[2140].speaker SPEAKER_14
transcript.pyannote[2140].start 10558.14471875
transcript.pyannote[2140].end 10561.26659375
transcript.pyannote[2141].speaker SPEAKER_19
transcript.pyannote[2141].start 10561.73909375
transcript.pyannote[2141].end 10562.05971875
transcript.pyannote[2142].speaker SPEAKER_14
transcript.pyannote[2142].start 10562.05971875
transcript.pyannote[2142].end 10562.07659375
transcript.pyannote[2143].speaker SPEAKER_14
transcript.pyannote[2143].start 10562.11034375
transcript.pyannote[2143].end 10565.04659375
transcript.pyannote[2144].speaker SPEAKER_14
transcript.pyannote[2144].start 10567.12221875
transcript.pyannote[2144].end 10568.10096875
transcript.pyannote[2145].speaker SPEAKER_14
transcript.pyannote[2145].start 10568.99534375
transcript.pyannote[2145].end 10569.23159375
transcript.pyannote[2146].speaker SPEAKER_14
transcript.pyannote[2146].start 10569.90659375
transcript.pyannote[2146].end 10571.54346875
transcript.pyannote[2147].speaker SPEAKER_14
transcript.pyannote[2147].start 10571.91471875
transcript.pyannote[2147].end 10573.29846875
transcript.pyannote[2148].speaker SPEAKER_14
transcript.pyannote[2148].start 10575.15471875
transcript.pyannote[2148].end 10577.16284375
transcript.pyannote[2149].speaker SPEAKER_14
transcript.pyannote[2149].start 10579.13721875
transcript.pyannote[2149].end 10581.43221875
transcript.pyannote[2150].speaker SPEAKER_14
transcript.pyannote[2150].start 10581.95534375
transcript.pyannote[2150].end 10584.48659375
transcript.pyannote[2151].speaker SPEAKER_14
transcript.pyannote[2151].start 10585.06034375
transcript.pyannote[2151].end 10585.44846875
transcript.pyannote[2152].speaker SPEAKER_14
transcript.pyannote[2152].start 10586.15721875
transcript.pyannote[2152].end 10589.58284375
transcript.pyannote[2153].speaker SPEAKER_14
transcript.pyannote[2153].start 10589.73471875
transcript.pyannote[2153].end 10590.59534375
transcript.pyannote[2154].speaker SPEAKER_14
transcript.pyannote[2154].start 10591.40534375
transcript.pyannote[2154].end 10591.99596875
transcript.pyannote[2155].speaker SPEAKER_14
transcript.pyannote[2155].start 10592.19846875
transcript.pyannote[2155].end 10593.78471875
transcript.pyannote[2156].speaker SPEAKER_14
transcript.pyannote[2156].start 10598.18909375
transcript.pyannote[2156].end 10599.70784375
transcript.pyannote[2157].speaker SPEAKER_14
transcript.pyannote[2157].start 10600.48409375
transcript.pyannote[2157].end 10609.25909375
transcript.pyannote[2158].speaker SPEAKER_14
transcript.pyannote[2158].start 10609.74846875
transcript.pyannote[2158].end 10611.80721875
transcript.pyannote[2159].speaker SPEAKER_14
transcript.pyannote[2159].start 10612.65096875
transcript.pyannote[2159].end 10613.00534375
transcript.pyannote[2160].speaker SPEAKER_14
transcript.pyannote[2160].start 10613.71409375
transcript.pyannote[2160].end 10616.75159375
transcript.pyannote[2161].speaker SPEAKER_14
transcript.pyannote[2161].start 10617.52784375
transcript.pyannote[2161].end 10619.97471875
transcript.pyannote[2162].speaker SPEAKER_14
transcript.pyannote[2162].start 10620.07596875
transcript.pyannote[2162].end 10621.05471875
transcript.pyannote[2163].speaker SPEAKER_14
transcript.pyannote[2163].start 10621.32471875
transcript.pyannote[2163].end 10625.35784375
transcript.pyannote[2164].speaker SPEAKER_14
transcript.pyannote[2164].start 10625.76284375
transcript.pyannote[2164].end 10626.82596875
transcript.pyannote[2165].speaker SPEAKER_14
transcript.pyannote[2165].start 10627.51784375
transcript.pyannote[2165].end 10640.39346875
transcript.pyannote[2166].speaker SPEAKER_14
transcript.pyannote[2166].start 10641.05159375
transcript.pyannote[2166].end 10642.06409375
transcript.pyannote[2167].speaker SPEAKER_10
transcript.pyannote[2167].start 10642.24971875
transcript.pyannote[2167].end 10651.12596875
transcript.pyannote[2168].speaker SPEAKER_10
transcript.pyannote[2168].start 10651.46346875
transcript.pyannote[2168].end 10667.25846875
transcript.pyannote[2169].speaker SPEAKER_10
transcript.pyannote[2169].start 10667.57909375
transcript.pyannote[2169].end 10668.03471875
transcript.pyannote[2170].speaker SPEAKER_14
transcript.pyannote[2170].start 10668.03471875
transcript.pyannote[2170].end 10684.01534375
transcript.pyannote[2171].speaker SPEAKER_32
transcript.pyannote[2171].start 10684.01534375
transcript.pyannote[2171].end 10684.33596875
transcript.pyannote[2172].speaker SPEAKER_14
transcript.pyannote[2172].start 10684.33596875
transcript.pyannote[2172].end 10696.08096875
transcript.pyannote[2173].speaker SPEAKER_14
transcript.pyannote[2173].start 10697.53221875
transcript.pyannote[2173].end 10701.95346875
transcript.pyannote[2174].speaker SPEAKER_14
transcript.pyannote[2174].start 10702.45971875
transcript.pyannote[2174].end 10705.37909375
transcript.pyannote[2175].speaker SPEAKER_14
transcript.pyannote[2175].start 10705.80096875
transcript.pyannote[2175].end 10706.96534375
transcript.pyannote[2176].speaker SPEAKER_23
transcript.pyannote[2176].start 10706.96534375
transcript.pyannote[2176].end 10706.98221875
transcript.pyannote[2177].speaker SPEAKER_06
transcript.pyannote[2177].start 10706.98221875
transcript.pyannote[2177].end 10707.20159375
transcript.pyannote[2178].speaker SPEAKER_23
transcript.pyannote[2178].start 10707.20159375
transcript.pyannote[2178].end 10707.43784375
transcript.pyannote[2179].speaker SPEAKER_06
transcript.pyannote[2179].start 10707.43784375
transcript.pyannote[2179].end 10707.45471875
transcript.pyannote[2180].speaker SPEAKER_14
transcript.pyannote[2180].start 10707.45471875
transcript.pyannote[2180].end 10708.09596875
transcript.pyannote[2181].speaker SPEAKER_23
transcript.pyannote[2181].start 10709.39534375
transcript.pyannote[2181].end 10721.76471875
transcript.pyannote[2182].speaker SPEAKER_16
transcript.pyannote[2182].start 10721.15721875
transcript.pyannote[2182].end 10722.42284375
transcript.pyannote[2183].speaker SPEAKER_23
transcript.pyannote[2183].start 10722.57471875
transcript.pyannote[2183].end 10734.47159375
transcript.pyannote[2184].speaker SPEAKER_14
transcript.pyannote[2184].start 10734.55596875
transcript.pyannote[2184].end 10738.01534375
transcript.pyannote[2185].speaker SPEAKER_23
transcript.pyannote[2185].start 10737.59346875
transcript.pyannote[2185].end 10745.49096875
transcript.pyannote[2186].speaker SPEAKER_14
transcript.pyannote[2186].start 10738.97721875
transcript.pyannote[2186].end 10741.01909375
transcript.pyannote[2187].speaker SPEAKER_14
transcript.pyannote[2187].start 10743.41534375
transcript.pyannote[2187].end 10749.77721875
transcript.pyannote[2188].speaker SPEAKER_23
transcript.pyannote[2188].start 10749.15284375
transcript.pyannote[2188].end 10750.01346875
transcript.pyannote[2189].speaker SPEAKER_14
transcript.pyannote[2189].start 10750.01346875
transcript.pyannote[2189].end 10759.58159375
transcript.pyannote[2190].speaker SPEAKER_23
transcript.pyannote[2190].start 10756.47659375
transcript.pyannote[2190].end 10757.47221875
transcript.pyannote[2191].speaker SPEAKER_23
transcript.pyannote[2191].start 10758.67034375
transcript.pyannote[2191].end 10760.20596875
transcript.pyannote[2192].speaker SPEAKER_14
transcript.pyannote[2192].start 10759.93596875
transcript.pyannote[2192].end 10760.61096875
transcript.pyannote[2193].speaker SPEAKER_14
transcript.pyannote[2193].start 10761.18471875
transcript.pyannote[2193].end 10761.21846875
transcript.pyannote[2194].speaker SPEAKER_16
transcript.pyannote[2194].start 10761.21846875
transcript.pyannote[2194].end 10761.33659375
transcript.pyannote[2195].speaker SPEAKER_14
transcript.pyannote[2195].start 10761.33659375
transcript.pyannote[2195].end 10761.38721875
transcript.pyannote[2196].speaker SPEAKER_16
transcript.pyannote[2196].start 10761.38721875
transcript.pyannote[2196].end 10761.40409375
transcript.pyannote[2197].speaker SPEAKER_16
transcript.pyannote[2197].start 10765.72409375
transcript.pyannote[2197].end 10767.02346875
transcript.pyannote[2198].speaker SPEAKER_16
transcript.pyannote[2198].start 10767.32721875
transcript.pyannote[2198].end 10768.50846875
transcript.pyannote[2199].speaker SPEAKER_16
transcript.pyannote[2199].start 10769.70659375
transcript.pyannote[2199].end 10771.37721875
transcript.pyannote[2200].speaker SPEAKER_16
transcript.pyannote[2200].start 10771.69784375
transcript.pyannote[2200].end 10773.84096875
transcript.pyannote[2201].speaker SPEAKER_28
transcript.pyannote[2201].start 10779.19034375
transcript.pyannote[2201].end 10784.84346875
transcript.pyannote[2202].speaker SPEAKER_28
transcript.pyannote[2202].start 10788.47159375
transcript.pyannote[2202].end 10790.56409375
transcript.pyannote[2203].speaker SPEAKER_28
transcript.pyannote[2203].start 10791.23909375
transcript.pyannote[2203].end 10821.27659375
transcript.pyannote[2204].speaker SPEAKER_10
transcript.pyannote[2204].start 10821.91784375
transcript.pyannote[2204].end 10833.27471875
transcript.pyannote[2205].speaker SPEAKER_28
transcript.pyannote[2205].start 10833.42659375
transcript.pyannote[2205].end 10864.12221875
transcript.pyannote[2206].speaker SPEAKER_00
transcript.pyannote[2206].start 10845.23909375
transcript.pyannote[2206].end 10845.25596875
transcript.pyannote[2207].speaker SPEAKER_27
transcript.pyannote[2207].start 10845.25596875
transcript.pyannote[2207].end 10845.86346875
transcript.pyannote[2208].speaker SPEAKER_00
transcript.pyannote[2208].start 10845.86346875
transcript.pyannote[2208].end 10846.20096875
transcript.pyannote[2209].speaker SPEAKER_10
transcript.pyannote[2209].start 10864.34159375
transcript.pyannote[2209].end 10868.17221875
transcript.pyannote[2210].speaker SPEAKER_10
transcript.pyannote[2210].start 10868.47596875
transcript.pyannote[2210].end 10871.58096875
transcript.pyannote[2211].speaker SPEAKER_28
transcript.pyannote[2211].start 10868.61096875
transcript.pyannote[2211].end 10868.86409375
transcript.pyannote[2212].speaker SPEAKER_28
transcript.pyannote[2212].start 10870.88909375
transcript.pyannote[2212].end 10874.63534375
transcript.pyannote[2213].speaker SPEAKER_10
transcript.pyannote[2213].start 10872.82971875
transcript.pyannote[2213].end 10882.48221875
transcript.pyannote[2214].speaker SPEAKER_28
transcript.pyannote[2214].start 10874.65221875
transcript.pyannote[2214].end 10876.18784375
transcript.pyannote[2215].speaker SPEAKER_28
transcript.pyannote[2215].start 10882.46534375
transcript.pyannote[2215].end 10885.87409375
transcript.pyannote[2216].speaker SPEAKER_10
transcript.pyannote[2216].start 10885.11471875
transcript.pyannote[2216].end 10891.08846875
transcript.pyannote[2217].speaker SPEAKER_28
transcript.pyannote[2217].start 10886.29596875
transcript.pyannote[2217].end 10887.47721875
transcript.pyannote[2218].speaker SPEAKER_28
transcript.pyannote[2218].start 10890.61596875
transcript.pyannote[2218].end 10895.71221875
transcript.pyannote[2219].speaker SPEAKER_10
transcript.pyannote[2219].start 10894.73346875
transcript.pyannote[2219].end 10898.80034375
transcript.pyannote[2220].speaker SPEAKER_28
transcript.pyannote[2220].start 10897.38284375
transcript.pyannote[2220].end 10899.96471875
transcript.pyannote[2221].speaker SPEAKER_10
transcript.pyannote[2221].start 10899.12096875
transcript.pyannote[2221].end 10910.02221875
transcript.pyannote[2222].speaker SPEAKER_28
transcript.pyannote[2222].start 10906.05659375
transcript.pyannote[2222].end 10906.64721875
transcript.pyannote[2223].speaker SPEAKER_28
transcript.pyannote[2223].start 10910.02221875
transcript.pyannote[2223].end 10962.40221875
transcript.pyannote[2224].speaker SPEAKER_10
transcript.pyannote[2224].start 10962.40221875
transcript.pyannote[2224].end 10984.40721875
transcript.pyannote[2225].speaker SPEAKER_00
transcript.pyannote[2225].start 10976.89784375
transcript.pyannote[2225].end 10976.91471875
transcript.pyannote[2226].speaker SPEAKER_28
transcript.pyannote[2226].start 10976.91471875
transcript.pyannote[2226].end 10977.58971875
transcript.pyannote[2227].speaker SPEAKER_28
transcript.pyannote[2227].start 10984.40721875
transcript.pyannote[2227].end 10986.85409375
transcript.pyannote[2228].speaker SPEAKER_28
transcript.pyannote[2228].start 10987.07346875
transcript.pyannote[2228].end 11018.05596875
transcript.pyannote[2229].speaker SPEAKER_10
transcript.pyannote[2229].start 11018.05596875
transcript.pyannote[2229].end 11020.53659375
transcript.pyannote[2230].speaker SPEAKER_28
transcript.pyannote[2230].start 11020.85721875
transcript.pyannote[2230].end 11021.07659375
transcript.pyannote[2231].speaker SPEAKER_11
transcript.pyannote[2231].start 11022.13971875
transcript.pyannote[2231].end 11039.08221875
transcript.pyannote[2232].speaker SPEAKER_28
transcript.pyannote[2232].start 11032.50096875
transcript.pyannote[2232].end 11032.60221875
transcript.pyannote[2233].speaker SPEAKER_28
transcript.pyannote[2233].start 11037.91784375
transcript.pyannote[2233].end 11038.27221875
transcript.pyannote[2234].speaker SPEAKER_28
transcript.pyannote[2234].start 11039.13284375
transcript.pyannote[2234].end 11041.20846875
transcript.pyannote[2235].speaker SPEAKER_11
transcript.pyannote[2235].start 11041.20846875
transcript.pyannote[2235].end 11051.14784375
transcript.pyannote[2236].speaker SPEAKER_28
transcript.pyannote[2236].start 11051.51909375
transcript.pyannote[2236].end 11090.11221875
transcript.pyannote[2237].speaker SPEAKER_10
transcript.pyannote[2237].start 11090.38221875
transcript.pyannote[2237].end 11096.00159375
transcript.pyannote[2238].speaker SPEAKER_28
transcript.pyannote[2238].start 11092.30596875
transcript.pyannote[2238].end 11092.96409375
transcript.pyannote[2239].speaker SPEAKER_28
transcript.pyannote[2239].start 11095.93409375
transcript.pyannote[2239].end 11125.56659375
transcript.pyannote[2240].speaker SPEAKER_10
transcript.pyannote[2240].start 11126.07284375
transcript.pyannote[2240].end 11127.69284375
transcript.pyannote[2241].speaker SPEAKER_28
transcript.pyannote[2241].start 11127.69284375
transcript.pyannote[2241].end 11142.82971875
transcript.pyannote[2242].speaker SPEAKER_28
transcript.pyannote[2242].start 11142.98159375
transcript.pyannote[2242].end 11143.15034375
transcript.pyannote[2243].speaker SPEAKER_06
transcript.pyannote[2243].start 11143.15034375
transcript.pyannote[2243].end 11143.30221875
transcript.pyannote[2244].speaker SPEAKER_28
transcript.pyannote[2244].start 11143.30221875
transcript.pyannote[2244].end 11145.69846875
transcript.pyannote[2245].speaker SPEAKER_28
transcript.pyannote[2245].start 11146.84596875
transcript.pyannote[2245].end 11147.31846875
transcript.pyannote[2246].speaker SPEAKER_28
transcript.pyannote[2246].start 11148.04409375
transcript.pyannote[2246].end 11170.92659375
transcript.pyannote[2247].speaker SPEAKER_28
transcript.pyannote[2247].start 11171.61846875
transcript.pyannote[2247].end 11171.63534375
transcript.pyannote[2248].speaker SPEAKER_06
transcript.pyannote[2248].start 11171.63534375
transcript.pyannote[2248].end 11171.65221875
transcript.pyannote[2249].speaker SPEAKER_28
transcript.pyannote[2249].start 11171.65221875
transcript.pyannote[2249].end 11171.66909375
transcript.pyannote[2250].speaker SPEAKER_06
transcript.pyannote[2250].start 11171.66909375
transcript.pyannote[2250].end 11171.71971875
transcript.pyannote[2251].speaker SPEAKER_28
transcript.pyannote[2251].start 11171.71971875
transcript.pyannote[2251].end 11171.97284375
transcript.pyannote[2252].speaker SPEAKER_06
transcript.pyannote[2252].start 11171.97284375
transcript.pyannote[2252].end 11173.06971875
transcript.pyannote[2253].speaker SPEAKER_06
transcript.pyannote[2253].start 11173.50846875
transcript.pyannote[2253].end 11180.42721875
transcript.pyannote[2254].speaker SPEAKER_06
transcript.pyannote[2254].start 11180.49471875
transcript.pyannote[2254].end 11197.03221875
transcript.pyannote[2255].speaker SPEAKER_28
transcript.pyannote[2255].start 11197.03221875
transcript.pyannote[2255].end 11201.40284375
transcript.pyannote[2256].speaker SPEAKER_06
transcript.pyannote[2256].start 11201.40284375
transcript.pyannote[2256].end 11201.41971875
transcript.pyannote[2257].speaker SPEAKER_28
transcript.pyannote[2257].start 11202.06096875
transcript.pyannote[2257].end 11202.97221875
transcript.pyannote[2258].speaker SPEAKER_06
transcript.pyannote[2258].start 11202.97221875
transcript.pyannote[2258].end 11204.69346875
transcript.pyannote[2259].speaker SPEAKER_06
transcript.pyannote[2259].start 11204.89596875
transcript.pyannote[2259].end 11210.70096875
transcript.pyannote[2260].speaker SPEAKER_28
transcript.pyannote[2260].start 11210.70096875
transcript.pyannote[2260].end 11210.71784375
transcript.pyannote[2261].speaker SPEAKER_06
transcript.pyannote[2261].start 11211.10596875
transcript.pyannote[2261].end 11213.06346875
transcript.pyannote[2262].speaker SPEAKER_28
transcript.pyannote[2262].start 11213.06346875
transcript.pyannote[2262].end 11226.09096875
transcript.pyannote[2263].speaker SPEAKER_06
transcript.pyannote[2263].start 11215.56096875
transcript.pyannote[2263].end 11215.88159375
transcript.pyannote[2264].speaker SPEAKER_06
transcript.pyannote[2264].start 11226.09096875
transcript.pyannote[2264].end 11226.20909375
transcript.pyannote[2265].speaker SPEAKER_28
transcript.pyannote[2265].start 11226.20909375
transcript.pyannote[2265].end 11226.96846875
transcript.pyannote[2266].speaker SPEAKER_06
transcript.pyannote[2266].start 11226.96846875
transcript.pyannote[2266].end 11232.45284375
transcript.pyannote[2267].speaker SPEAKER_06
transcript.pyannote[2267].start 11232.77346875
transcript.pyannote[2267].end 11256.26346875
transcript.pyannote[2268].speaker SPEAKER_06
transcript.pyannote[2268].start 11256.58409375
transcript.pyannote[2268].end 11260.97159375
transcript.pyannote[2269].speaker SPEAKER_28
transcript.pyannote[2269].start 11260.97159375
transcript.pyannote[2269].end 11326.19346875
transcript.pyannote[2270].speaker SPEAKER_06
transcript.pyannote[2270].start 11324.52284375
transcript.pyannote[2270].end 11326.75034375
transcript.pyannote[2271].speaker SPEAKER_01
transcript.pyannote[2271].start 11326.75034375
transcript.pyannote[2271].end 11326.91909375
transcript.pyannote[2272].speaker SPEAKER_06
transcript.pyannote[2272].start 11326.91909375
transcript.pyannote[2272].end 11332.09971875
transcript.pyannote[2273].speaker SPEAKER_01
transcript.pyannote[2273].start 11326.93596875
transcript.pyannote[2273].end 11327.39159375
transcript.pyannote[2274].speaker SPEAKER_01
transcript.pyannote[2274].start 11328.97784375
transcript.pyannote[2274].end 11329.50096875
transcript.pyannote[2275].speaker SPEAKER_01
transcript.pyannote[2275].start 11331.50909375
transcript.pyannote[2275].end 11338.34346875
transcript.pyannote[2276].speaker SPEAKER_16
transcript.pyannote[2276].start 11346.79784375
transcript.pyannote[2276].end 11349.66659375
transcript.pyannote[2277].speaker SPEAKER_16
transcript.pyannote[2277].start 11349.93659375
transcript.pyannote[2277].end 11352.09659375
transcript.pyannote[2278].speaker SPEAKER_16
transcript.pyannote[2278].start 11352.33284375
transcript.pyannote[2278].end 11353.02471875
transcript.pyannote[2279].speaker SPEAKER_01
transcript.pyannote[2279].start 11353.98659375
transcript.pyannote[2279].end 11356.33221875
transcript.pyannote[2280].speaker SPEAKER_16
transcript.pyannote[2280].start 11360.44971875
transcript.pyannote[2280].end 11360.95596875
transcript.pyannote[2281].speaker SPEAKER_16
transcript.pyannote[2281].start 11361.54659375
transcript.pyannote[2281].end 11361.90096875
transcript.pyannote[2282].speaker SPEAKER_16
transcript.pyannote[2282].start 11362.55909375
transcript.pyannote[2282].end 11370.67596875
transcript.pyannote[2283].speaker SPEAKER_16
transcript.pyannote[2283].start 11371.06409375
transcript.pyannote[2283].end 11372.24534375
transcript.pyannote[2284].speaker SPEAKER_16
transcript.pyannote[2284].start 11372.43096875
transcript.pyannote[2284].end 11374.05096875
transcript.pyannote[2285].speaker SPEAKER_16
transcript.pyannote[2285].start 11374.48971875
transcript.pyannote[2285].end 11392.56284375
transcript.pyannote[2286].speaker SPEAKER_16
transcript.pyannote[2286].start 11392.79909375
transcript.pyannote[2286].end 11421.60471875
transcript.pyannote[2287].speaker SPEAKER_16
transcript.pyannote[2287].start 11422.09409375
transcript.pyannote[2287].end 11425.58721875
transcript.pyannote[2288].speaker SPEAKER_16
transcript.pyannote[2288].start 11425.73909375
transcript.pyannote[2288].end 11428.20284375
transcript.pyannote[2289].speaker SPEAKER_16
transcript.pyannote[2289].start 11429.11409375
transcript.pyannote[2289].end 11439.28971875
transcript.pyannote[2290].speaker SPEAKER_16
transcript.pyannote[2290].start 11439.67784375
transcript.pyannote[2290].end 11466.96471875
transcript.pyannote[2291].speaker SPEAKER_10
transcript.pyannote[2291].start 11466.96471875
transcript.pyannote[2291].end 11486.52284375
transcript.pyannote[2292].speaker SPEAKER_10
transcript.pyannote[2292].start 11486.59034375
transcript.pyannote[2292].end 11508.98346875
transcript.pyannote[2293].speaker SPEAKER_10
transcript.pyannote[2293].start 11510.45159375
transcript.pyannote[2293].end 11512.54409375
transcript.pyannote[2294].speaker SPEAKER_16
transcript.pyannote[2294].start 11512.54409375
transcript.pyannote[2294].end 11524.35659375
transcript.pyannote[2295].speaker SPEAKER_10
transcript.pyannote[2295].start 11518.80471875
transcript.pyannote[2295].end 11519.20971875
transcript.pyannote[2296].speaker SPEAKER_10
transcript.pyannote[2296].start 11519.22659375
transcript.pyannote[2296].end 11519.24346875
transcript.pyannote[2297].speaker SPEAKER_10
transcript.pyannote[2297].start 11521.82534375
transcript.pyannote[2297].end 11522.95596875
transcript.pyannote[2298].speaker SPEAKER_10
transcript.pyannote[2298].start 11524.35659375
transcript.pyannote[2298].end 11528.11971875
transcript.pyannote[2299].speaker SPEAKER_10
transcript.pyannote[2299].start 11528.38971875
transcript.pyannote[2299].end 11532.42284375
transcript.pyannote[2300].speaker SPEAKER_16
transcript.pyannote[2300].start 11531.83221875
transcript.pyannote[2300].end 11540.28659375
transcript.pyannote[2301].speaker SPEAKER_16
transcript.pyannote[2301].start 11540.74221875
transcript.pyannote[2301].end 11548.20096875
transcript.pyannote[2302].speaker SPEAKER_10
transcript.pyannote[2302].start 11547.89721875
transcript.pyannote[2302].end 11555.25471875
transcript.pyannote[2303].speaker SPEAKER_10
transcript.pyannote[2303].start 11555.60909375
transcript.pyannote[2303].end 11591.18159375
transcript.pyannote[2304].speaker SPEAKER_16
transcript.pyannote[2304].start 11556.03096875
transcript.pyannote[2304].end 11556.14909375
transcript.pyannote[2305].speaker SPEAKER_16
transcript.pyannote[2305].start 11591.18159375
transcript.pyannote[2305].end 11618.01284375
transcript.pyannote[2306].speaker SPEAKER_10
transcript.pyannote[2306].start 11591.23221875
transcript.pyannote[2306].end 11591.35034375
transcript.pyannote[2307].speaker SPEAKER_10
transcript.pyannote[2307].start 11591.36721875
transcript.pyannote[2307].end 11591.41784375
transcript.pyannote[2308].speaker SPEAKER_10
transcript.pyannote[2308].start 11596.71659375
transcript.pyannote[2308].end 11597.49284375
transcript.pyannote[2309].speaker SPEAKER_00
transcript.pyannote[2309].start 11597.49284375
transcript.pyannote[2309].end 11597.52659375
transcript.pyannote[2310].speaker SPEAKER_16
transcript.pyannote[2310].start 11618.16471875
transcript.pyannote[2310].end 11624.89784375
transcript.pyannote[2311].speaker SPEAKER_16
transcript.pyannote[2311].start 11625.16784375
transcript.pyannote[2311].end 11633.03159375
transcript.pyannote[2312].speaker SPEAKER_16
transcript.pyannote[2312].start 11633.33534375
transcript.pyannote[2312].end 11651.61096875
transcript.pyannote[2313].speaker SPEAKER_10
transcript.pyannote[2313].start 11652.16784375
transcript.pyannote[2313].end 11653.33221875
transcript.pyannote[2314].speaker SPEAKER_16
transcript.pyannote[2314].start 11652.62346875
transcript.pyannote[2314].end 11653.39971875
transcript.pyannote[2315].speaker SPEAKER_10
transcript.pyannote[2315].start 11653.39971875
transcript.pyannote[2315].end 11653.53471875
transcript.pyannote[2316].speaker SPEAKER_16
transcript.pyannote[2316].start 11653.53471875
transcript.pyannote[2316].end 11653.72034375
transcript.pyannote[2317].speaker SPEAKER_10
transcript.pyannote[2317].start 11653.72034375
transcript.pyannote[2317].end 11653.82159375
transcript.pyannote[2318].speaker SPEAKER_16
transcript.pyannote[2318].start 11653.82159375
transcript.pyannote[2318].end 11654.63159375
transcript.pyannote[2319].speaker SPEAKER_10
transcript.pyannote[2319].start 11653.83846875
transcript.pyannote[2319].end 11655.99846875
transcript.pyannote[2320].speaker SPEAKER_16
transcript.pyannote[2320].start 11655.13784375
transcript.pyannote[2320].end 11661.65159375
transcript.pyannote[2321].speaker SPEAKER_13
transcript.pyannote[2321].start 11661.65159375
transcript.pyannote[2321].end 11661.82034375
transcript.pyannote[2322].speaker SPEAKER_16
transcript.pyannote[2322].start 11661.82034375
transcript.pyannote[2322].end 11668.36784375
transcript.pyannote[2323].speaker SPEAKER_13
transcript.pyannote[2323].start 11661.85409375
transcript.pyannote[2323].end 11661.90471875
transcript.pyannote[2324].speaker SPEAKER_16
transcript.pyannote[2324].start 11668.92471875
transcript.pyannote[2324].end 11719.93784375
transcript.pyannote[2325].speaker SPEAKER_16
transcript.pyannote[2325].start 11720.05596875
transcript.pyannote[2325].end 11738.92221875
transcript.pyannote[2326].speaker SPEAKER_16
transcript.pyannote[2326].start 11739.31034375
transcript.pyannote[2326].end 11742.14534375
transcript.pyannote[2327].speaker SPEAKER_16
transcript.pyannote[2327].start 11742.87096875
transcript.pyannote[2327].end 11743.42784375
transcript.pyannote[2328].speaker SPEAKER_16
transcript.pyannote[2328].start 11743.93409375
transcript.pyannote[2328].end 11751.05534375
transcript.pyannote[2329].speaker SPEAKER_16
transcript.pyannote[2329].start 11752.00034375
transcript.pyannote[2329].end 11754.88596875
transcript.pyannote[2330].speaker SPEAKER_16
transcript.pyannote[2330].start 11755.47659375
transcript.pyannote[2330].end 11757.78846875
transcript.pyannote[2331].speaker SPEAKER_16
transcript.pyannote[2331].start 11758.83471875
transcript.pyannote[2331].end 11760.57284375
transcript.pyannote[2332].speaker SPEAKER_16
transcript.pyannote[2332].start 11760.87659375
transcript.pyannote[2332].end 11770.22534375
transcript.pyannote[2333].speaker SPEAKER_16
transcript.pyannote[2333].start 11771.33909375
transcript.pyannote[2333].end 11774.07284375
transcript.pyannote[2334].speaker SPEAKER_16
transcript.pyannote[2334].start 11774.27534375
transcript.pyannote[2334].end 11777.86971875
transcript.pyannote[2335].speaker SPEAKER_16
transcript.pyannote[2335].start 11778.56159375
transcript.pyannote[2335].end 11784.51846875
transcript.pyannote[2336].speaker SPEAKER_16
transcript.pyannote[2336].start 11785.71659375
transcript.pyannote[2336].end 11794.59284375
transcript.pyannote[2337].speaker SPEAKER_16
transcript.pyannote[2337].start 11795.20034375
transcript.pyannote[2337].end 11807.70471875
transcript.pyannote[2338].speaker SPEAKER_16
transcript.pyannote[2338].start 11808.02534375
transcript.pyannote[2338].end 11813.79659375
transcript.pyannote[2339].speaker SPEAKER_16
transcript.pyannote[2339].start 11814.37034375
transcript.pyannote[2339].end 11816.20971875
transcript.pyannote[2340].speaker SPEAKER_16
transcript.pyannote[2340].start 11816.58096875
transcript.pyannote[2340].end 11817.22221875
transcript.pyannote[2341].speaker SPEAKER_10
transcript.pyannote[2341].start 11817.22221875
transcript.pyannote[2341].end 11820.68159375
transcript.pyannote[2342].speaker SPEAKER_16
transcript.pyannote[2342].start 11817.25596875
transcript.pyannote[2342].end 11817.47534375
transcript.pyannote[2343].speaker SPEAKER_16
transcript.pyannote[2343].start 11821.27221875
transcript.pyannote[2343].end 11823.68534375
transcript.pyannote[2344].speaker SPEAKER_10
transcript.pyannote[2344].start 11822.77409375
transcript.pyannote[2344].end 11828.81534375
transcript.pyannote[2345].speaker SPEAKER_16
transcript.pyannote[2345].start 11825.91284375
transcript.pyannote[2345].end 11849.60534375
transcript.pyannote[2346].speaker SPEAKER_16
transcript.pyannote[2346].start 11849.84159375
transcript.pyannote[2346].end 11868.60659375
transcript.pyannote[2347].speaker SPEAKER_16
transcript.pyannote[2347].start 11868.62346875
transcript.pyannote[2347].end 11872.55534375
transcript.pyannote[2348].speaker SPEAKER_10
transcript.pyannote[2348].start 11872.55534375
transcript.pyannote[2348].end 11873.39909375
transcript.pyannote[2349].speaker SPEAKER_16
transcript.pyannote[2349].start 11873.39909375
transcript.pyannote[2349].end 11874.20909375
transcript.pyannote[2350].speaker SPEAKER_01
transcript.pyannote[2350].start 11875.18784375
transcript.pyannote[2350].end 11876.63909375
transcript.pyannote[2351].speaker SPEAKER_01
transcript.pyannote[2351].start 11877.31409375
transcript.pyannote[2351].end 11882.19096875
transcript.pyannote[2352].speaker SPEAKER_16
transcript.pyannote[2352].start 11893.36221875
transcript.pyannote[2352].end 11893.90221875
transcript.pyannote[2353].speaker SPEAKER_08
transcript.pyannote[2353].start 11901.22596875
transcript.pyannote[2353].end 11903.60534375
transcript.pyannote[2354].speaker SPEAKER_08
transcript.pyannote[2354].start 11904.17909375
transcript.pyannote[2354].end 11905.19159375
transcript.pyannote[2355].speaker SPEAKER_08
transcript.pyannote[2355].start 11908.87034375
transcript.pyannote[2355].end 11909.59596875
transcript.pyannote[2356].speaker SPEAKER_08
transcript.pyannote[2356].start 11913.51096875
transcript.pyannote[2356].end 11919.61971875
transcript.pyannote[2357].speaker SPEAKER_08
transcript.pyannote[2357].start 11919.77159375
transcript.pyannote[2357].end 11932.46159375
transcript.pyannote[2358].speaker SPEAKER_08
transcript.pyannote[2358].start 11932.96784375
transcript.pyannote[2358].end 11933.32221875
transcript.pyannote[2359].speaker SPEAKER_10
transcript.pyannote[2359].start 11934.95909375
transcript.pyannote[2359].end 11936.07284375
transcript.pyannote[2360].speaker SPEAKER_08
transcript.pyannote[2360].start 11936.07284375
transcript.pyannote[2360].end 11937.76034375
transcript.pyannote[2361].speaker SPEAKER_10
transcript.pyannote[2361].start 11936.08971875
transcript.pyannote[2361].end 11936.56221875
transcript.pyannote[2362].speaker SPEAKER_11
transcript.pyannote[2362].start 11938.26659375
transcript.pyannote[2362].end 11941.13534375
transcript.pyannote[2363].speaker SPEAKER_08
transcript.pyannote[2363].start 11940.91596875
transcript.pyannote[2363].end 11951.05784375
transcript.pyannote[2364].speaker SPEAKER_16
transcript.pyannote[2364].start 11951.14221875
transcript.pyannote[2364].end 11951.53034375
transcript.pyannote[2365].speaker SPEAKER_08
transcript.pyannote[2365].start 11951.66534375
transcript.pyannote[2365].end 11962.29659375
transcript.pyannote[2366].speaker SPEAKER_08
transcript.pyannote[2366].start 11964.03471875
transcript.pyannote[2366].end 11964.38909375
transcript.pyannote[2367].speaker SPEAKER_08
transcript.pyannote[2367].start 11964.87846875
transcript.pyannote[2367].end 11966.92034375
transcript.pyannote[2368].speaker SPEAKER_08
transcript.pyannote[2368].start 11967.15659375
transcript.pyannote[2368].end 11969.97471875
transcript.pyannote[2369].speaker SPEAKER_08
transcript.pyannote[2369].start 11970.37971875
transcript.pyannote[2369].end 11973.04596875
transcript.pyannote[2370].speaker SPEAKER_08
transcript.pyannote[2370].start 11973.53534375
transcript.pyannote[2370].end 11977.46721875
transcript.pyannote[2371].speaker SPEAKER_08
transcript.pyannote[2371].start 11977.83846875
transcript.pyannote[2371].end 11987.37284375
transcript.pyannote[2372].speaker SPEAKER_08
transcript.pyannote[2372].start 11987.72721875
transcript.pyannote[2372].end 11990.03909375
transcript.pyannote[2373].speaker SPEAKER_08
transcript.pyannote[2373].start 11990.59596875
transcript.pyannote[2373].end 11992.99221875
transcript.pyannote[2374].speaker SPEAKER_08
transcript.pyannote[2374].start 11993.04284375
transcript.pyannote[2374].end 11995.38846875
transcript.pyannote[2375].speaker SPEAKER_08
transcript.pyannote[2375].start 11996.01284375
transcript.pyannote[2375].end 12010.50846875
transcript.pyannote[2376].speaker SPEAKER_10
transcript.pyannote[2376].start 12013.25909375
transcript.pyannote[2376].end 12015.77346875
transcript.pyannote[2377].speaker SPEAKER_10
transcript.pyannote[2377].start 12016.21221875
transcript.pyannote[2377].end 12017.03909375
transcript.pyannote[2378].speaker SPEAKER_10
transcript.pyannote[2378].start 12017.30909375
transcript.pyannote[2378].end 12020.68409375
transcript.pyannote[2379].speaker SPEAKER_10
transcript.pyannote[2379].start 12020.88659375
transcript.pyannote[2379].end 12021.84846875
transcript.pyannote[2380].speaker SPEAKER_10
transcript.pyannote[2380].start 12022.30409375
transcript.pyannote[2380].end 12023.04659375
transcript.pyannote[2381].speaker SPEAKER_10
transcript.pyannote[2381].start 12023.68784375
transcript.pyannote[2381].end 12023.97471875
transcript.pyannote[2382].speaker SPEAKER_08
transcript.pyannote[2382].start 12023.97471875
transcript.pyannote[2382].end 12025.96596875
transcript.pyannote[2383].speaker SPEAKER_08
transcript.pyannote[2383].start 12026.50596875
transcript.pyannote[2383].end 12029.08784375
transcript.pyannote[2384].speaker SPEAKER_10
transcript.pyannote[2384].start 12026.67471875
transcript.pyannote[2384].end 12027.97409375
transcript.pyannote[2385].speaker SPEAKER_00
transcript.pyannote[2385].start 12027.97409375
transcript.pyannote[2385].end 12028.36221875
transcript.pyannote[2386].speaker SPEAKER_08
transcript.pyannote[2386].start 12029.54346875
transcript.pyannote[2386].end 12031.85534375
transcript.pyannote[2387].speaker SPEAKER_08
transcript.pyannote[2387].start 12032.19284375
transcript.pyannote[2387].end 12047.53221875
transcript.pyannote[2388].speaker SPEAKER_08
transcript.pyannote[2388].start 12048.17346875
transcript.pyannote[2388].end 12049.79346875
transcript.pyannote[2389].speaker SPEAKER_08
transcript.pyannote[2389].start 12050.50221875
transcript.pyannote[2389].end 12053.30346875
transcript.pyannote[2390].speaker SPEAKER_08
transcript.pyannote[2390].start 12053.91096875
transcript.pyannote[2390].end 12055.88534375
transcript.pyannote[2391].speaker SPEAKER_08
transcript.pyannote[2391].start 12056.61096875
transcript.pyannote[2391].end 12061.85909375
transcript.pyannote[2392].speaker SPEAKER_08
transcript.pyannote[2392].start 12061.97721875
transcript.pyannote[2392].end 12066.55034375
transcript.pyannote[2393].speaker SPEAKER_08
transcript.pyannote[2393].start 12067.25909375
transcript.pyannote[2393].end 12075.12284375
transcript.pyannote[2394].speaker SPEAKER_08
transcript.pyannote[2394].start 12075.52784375
transcript.pyannote[2394].end 12082.66596875
transcript.pyannote[2395].speaker SPEAKER_08
transcript.pyannote[2395].start 12082.95284375
transcript.pyannote[2395].end 12084.94409375
transcript.pyannote[2396].speaker SPEAKER_08
transcript.pyannote[2396].start 12085.38284375
transcript.pyannote[2396].end 12090.00659375
transcript.pyannote[2397].speaker SPEAKER_08
transcript.pyannote[2397].start 12090.66471875
transcript.pyannote[2397].end 12091.64346875
transcript.pyannote[2398].speaker SPEAKER_08
transcript.pyannote[2398].start 12092.26784375
transcript.pyannote[2398].end 12093.39846875
transcript.pyannote[2399].speaker SPEAKER_08
transcript.pyannote[2399].start 12093.88784375
transcript.pyannote[2399].end 12095.13659375
transcript.pyannote[2400].speaker SPEAKER_08
transcript.pyannote[2400].start 12095.77784375
transcript.pyannote[2400].end 12096.03096875
transcript.pyannote[2401].speaker SPEAKER_08
transcript.pyannote[2401].start 12097.00971875
transcript.pyannote[2401].end 12099.49034375
transcript.pyannote[2402].speaker SPEAKER_08
transcript.pyannote[2402].start 12100.40159375
transcript.pyannote[2402].end 12102.10596875
transcript.pyannote[2403].speaker SPEAKER_08
transcript.pyannote[2403].start 12102.62909375
transcript.pyannote[2403].end 12103.81034375
transcript.pyannote[2404].speaker SPEAKER_08
transcript.pyannote[2404].start 12104.75534375
transcript.pyannote[2404].end 12106.13909375
transcript.pyannote[2405].speaker SPEAKER_08
transcript.pyannote[2405].start 12106.96596875
transcript.pyannote[2405].end 12108.46784375
transcript.pyannote[2406].speaker SPEAKER_08
transcript.pyannote[2406].start 12108.88971875
transcript.pyannote[2406].end 12111.96096875
transcript.pyannote[2407].speaker SPEAKER_08
transcript.pyannote[2407].start 12112.28159375
transcript.pyannote[2407].end 12114.12096875
transcript.pyannote[2408].speaker SPEAKER_08
transcript.pyannote[2408].start 12114.72846875
transcript.pyannote[2408].end 12116.23034375
transcript.pyannote[2409].speaker SPEAKER_08
transcript.pyannote[2409].start 12116.36534375
transcript.pyannote[2409].end 12118.44096875
transcript.pyannote[2410].speaker SPEAKER_08
transcript.pyannote[2410].start 12119.04846875
transcript.pyannote[2410].end 12122.03534375
transcript.pyannote[2411].speaker SPEAKER_10
transcript.pyannote[2411].start 12122.03534375
transcript.pyannote[2411].end 12123.85784375
transcript.pyannote[2412].speaker SPEAKER_10
transcript.pyannote[2412].start 12124.11096875
transcript.pyannote[2412].end 12129.05534375
transcript.pyannote[2413].speaker SPEAKER_08
transcript.pyannote[2413].start 12127.35096875
transcript.pyannote[2413].end 12133.34159375
transcript.pyannote[2414].speaker SPEAKER_08
transcript.pyannote[2414].start 12133.96596875
transcript.pyannote[2414].end 12145.99784375
transcript.pyannote[2415].speaker SPEAKER_10
transcript.pyannote[2415].start 12134.75909375
transcript.pyannote[2415].end 12135.56909375
transcript.pyannote[2416].speaker SPEAKER_30
transcript.pyannote[2416].start 12135.56909375
transcript.pyannote[2416].end 12135.58596875
transcript.pyannote[2417].speaker SPEAKER_10
transcript.pyannote[2417].start 12135.58596875
transcript.pyannote[2417].end 12136.02471875
transcript.pyannote[2418].speaker SPEAKER_00
transcript.pyannote[2418].start 12136.02471875
transcript.pyannote[2418].end 12136.09221875
transcript.pyannote[2419].speaker SPEAKER_10
transcript.pyannote[2419].start 12136.09221875
transcript.pyannote[2419].end 12136.59846875
transcript.pyannote[2420].speaker SPEAKER_00
transcript.pyannote[2420].start 12136.59846875
transcript.pyannote[2420].end 12139.39971875
transcript.pyannote[2421].speaker SPEAKER_16
transcript.pyannote[2421].start 12139.39971875
transcript.pyannote[2421].end 12139.43346875
transcript.pyannote[2422].speaker SPEAKER_00
transcript.pyannote[2422].start 12139.43346875
transcript.pyannote[2422].end 12139.80471875
transcript.pyannote[2423].speaker SPEAKER_16
transcript.pyannote[2423].start 12139.80471875
transcript.pyannote[2423].end 12140.04096875
transcript.pyannote[2424].speaker SPEAKER_00
transcript.pyannote[2424].start 12140.04096875
transcript.pyannote[2424].end 12141.30659375
transcript.pyannote[2425].speaker SPEAKER_08
transcript.pyannote[2425].start 12146.92596875
transcript.pyannote[2425].end 12150.90846875
transcript.pyannote[2426].speaker SPEAKER_08
transcript.pyannote[2426].start 12151.14471875
transcript.pyannote[2426].end 12152.22471875
transcript.pyannote[2427].speaker SPEAKER_08
transcript.pyannote[2427].start 12153.00096875
transcript.pyannote[2427].end 12155.63346875
transcript.pyannote[2428].speaker SPEAKER_08
transcript.pyannote[2428].start 12156.78096875
transcript.pyannote[2428].end 12165.87659375
transcript.pyannote[2429].speaker SPEAKER_10
transcript.pyannote[2429].start 12161.33721875
transcript.pyannote[2429].end 12161.47221875
transcript.pyannote[2430].speaker SPEAKER_10
transcript.pyannote[2430].start 12164.10471875
transcript.pyannote[2430].end 12164.13846875
transcript.pyannote[2431].speaker SPEAKER_10
transcript.pyannote[2431].start 12164.15534375
transcript.pyannote[2431].end 12169.18409375
transcript.pyannote[2432].speaker SPEAKER_08
transcript.pyannote[2432].start 12167.19284375
transcript.pyannote[2432].end 12180.08534375
transcript.pyannote[2433].speaker SPEAKER_10
transcript.pyannote[2433].start 12169.67346875
transcript.pyannote[2433].end 12169.85909375
transcript.pyannote[2434].speaker SPEAKER_10
transcript.pyannote[2434].start 12177.04784375
transcript.pyannote[2434].end 12187.83096875
transcript.pyannote[2435].speaker SPEAKER_08
transcript.pyannote[2435].start 12181.40159375
transcript.pyannote[2435].end 12182.68409375
transcript.pyannote[2436].speaker SPEAKER_08
transcript.pyannote[2436].start 12182.70096875
transcript.pyannote[2436].end 12184.69221875
transcript.pyannote[2437].speaker SPEAKER_08
transcript.pyannote[2437].start 12186.48096875
transcript.pyannote[2437].end 12201.34784375
transcript.pyannote[2438].speaker SPEAKER_08
transcript.pyannote[2438].start 12201.88784375
transcript.pyannote[2438].end 12208.94159375
transcript.pyannote[2439].speaker SPEAKER_08
transcript.pyannote[2439].start 12209.43096875
transcript.pyannote[2439].end 12211.37159375
transcript.pyannote[2440].speaker SPEAKER_08
transcript.pyannote[2440].start 12213.41346875
transcript.pyannote[2440].end 12218.69534375
transcript.pyannote[2441].speaker SPEAKER_08
transcript.pyannote[2441].start 12218.88096875
transcript.pyannote[2441].end 12220.19721875
transcript.pyannote[2442].speaker SPEAKER_08
transcript.pyannote[2442].start 12220.93971875
transcript.pyannote[2442].end 12223.60596875
transcript.pyannote[2443].speaker SPEAKER_08
transcript.pyannote[2443].start 12223.87596875
transcript.pyannote[2443].end 12228.63471875
transcript.pyannote[2444].speaker SPEAKER_08
transcript.pyannote[2444].start 12229.41096875
transcript.pyannote[2444].end 12233.03909375
transcript.pyannote[2445].speaker SPEAKER_08
transcript.pyannote[2445].start 12233.93346875
transcript.pyannote[2445].end 12240.95346875
transcript.pyannote[2446].speaker SPEAKER_08
transcript.pyannote[2446].start 12241.34159375
transcript.pyannote[2446].end 12255.39846875
transcript.pyannote[2447].speaker SPEAKER_08
transcript.pyannote[2447].start 12255.65159375
transcript.pyannote[2447].end 12262.87409375
transcript.pyannote[2448].speaker SPEAKER_08
transcript.pyannote[2448].start 12263.17784375
transcript.pyannote[2448].end 12266.35034375
transcript.pyannote[2449].speaker SPEAKER_08
transcript.pyannote[2449].start 12267.31221875
transcript.pyannote[2449].end 12269.65784375
transcript.pyannote[2450].speaker SPEAKER_08
transcript.pyannote[2450].start 12269.72534375
transcript.pyannote[2450].end 12270.72096875
transcript.pyannote[2451].speaker SPEAKER_08
transcript.pyannote[2451].start 12271.64909375
transcript.pyannote[2451].end 12272.77971875
transcript.pyannote[2452].speaker SPEAKER_08
transcript.pyannote[2452].start 12273.04971875
transcript.pyannote[2452].end 12275.09159375
transcript.pyannote[2453].speaker SPEAKER_08
transcript.pyannote[2453].start 12275.80034375
transcript.pyannote[2453].end 12277.80846875
transcript.pyannote[2454].speaker SPEAKER_08
transcript.pyannote[2454].start 12278.50034375
transcript.pyannote[2454].end 12279.64784375
transcript.pyannote[2455].speaker SPEAKER_08
transcript.pyannote[2455].start 12279.74909375
transcript.pyannote[2455].end 12282.06096875
transcript.pyannote[2456].speaker SPEAKER_08
transcript.pyannote[2456].start 12282.58409375
transcript.pyannote[2456].end 12300.10034375
transcript.pyannote[2457].speaker SPEAKER_08
transcript.pyannote[2457].start 12300.38721875
transcript.pyannote[2457].end 12312.09846875
transcript.pyannote[2458].speaker SPEAKER_08
transcript.pyannote[2458].start 12312.68909375
transcript.pyannote[2458].end 12314.05596875
transcript.pyannote[2459].speaker SPEAKER_08
transcript.pyannote[2459].start 12314.57909375
transcript.pyannote[2459].end 12315.74346875
transcript.pyannote[2460].speaker SPEAKER_08
transcript.pyannote[2460].start 12316.70534375
transcript.pyannote[2460].end 12317.02596875
transcript.pyannote[2461].speaker SPEAKER_08
transcript.pyannote[2461].start 12317.95409375
transcript.pyannote[2461].end 12320.13096875
transcript.pyannote[2462].speaker SPEAKER_08
transcript.pyannote[2462].start 12321.70034375
transcript.pyannote[2462].end 12323.53971875
transcript.pyannote[2463].speaker SPEAKER_08
transcript.pyannote[2463].start 12324.92346875
transcript.pyannote[2463].end 12325.93596875
transcript.pyannote[2464].speaker SPEAKER_08
transcript.pyannote[2464].start 12327.11721875
transcript.pyannote[2464].end 12328.11284375
transcript.pyannote[2465].speaker SPEAKER_08
transcript.pyannote[2465].start 12329.26034375
transcript.pyannote[2465].end 12329.61471875
transcript.pyannote[2466].speaker SPEAKER_10
transcript.pyannote[2466].start 12329.61471875
transcript.pyannote[2466].end 12329.68221875
transcript.pyannote[2467].speaker SPEAKER_08
transcript.pyannote[2467].start 12329.68221875
transcript.pyannote[2467].end 12330.76221875
transcript.pyannote[2468].speaker SPEAKER_10
transcript.pyannote[2468].start 12330.76221875
transcript.pyannote[2468].end 12330.94784375
transcript.pyannote[2469].speaker SPEAKER_08
transcript.pyannote[2469].start 12330.94784375
transcript.pyannote[2469].end 12331.03221875
transcript.pyannote[2470].speaker SPEAKER_10
transcript.pyannote[2470].start 12331.03221875
transcript.pyannote[2470].end 12333.34409375
transcript.pyannote[2471].speaker SPEAKER_10
transcript.pyannote[2471].start 12333.85034375
transcript.pyannote[2471].end 12336.26346875
transcript.pyannote[2472].speaker SPEAKER_10
transcript.pyannote[2472].start 12337.14096875
transcript.pyannote[2472].end 12340.14471875
transcript.pyannote[2473].speaker SPEAKER_10
transcript.pyannote[2473].start 12340.41471875
transcript.pyannote[2473].end 12341.32596875
transcript.pyannote[2474].speaker SPEAKER_10
transcript.pyannote[2474].start 12341.88284375
transcript.pyannote[2474].end 12343.65471875
transcript.pyannote[2475].speaker SPEAKER_10
transcript.pyannote[2475].start 12345.71346875
transcript.pyannote[2475].end 12346.87784375
transcript.pyannote[2476].speaker SPEAKER_08
transcript.pyannote[2476].start 12346.87784375
transcript.pyannote[2476].end 12346.91159375
transcript.pyannote[2477].speaker SPEAKER_08
transcript.pyannote[2477].start 12347.41784375
transcript.pyannote[2477].end 12350.86034375
transcript.pyannote[2478].speaker SPEAKER_08
transcript.pyannote[2478].start 12351.31596875
transcript.pyannote[2478].end 12358.01534375
transcript.pyannote[2479].speaker SPEAKER_00
transcript.pyannote[2479].start 12351.65346875
transcript.pyannote[2479].end 12351.67034375
transcript.pyannote[2480].speaker SPEAKER_10
transcript.pyannote[2480].start 12351.67034375
transcript.pyannote[2480].end 12353.72909375
transcript.pyannote[2481].speaker SPEAKER_10
transcript.pyannote[2481].start 12354.16784375
transcript.pyannote[2481].end 12356.07471875
transcript.pyannote[2482].speaker SPEAKER_08
transcript.pyannote[2482].start 12358.43721875
transcript.pyannote[2482].end 12363.06096875
transcript.pyannote[2483].speaker SPEAKER_00
transcript.pyannote[2483].start 12358.87596875
transcript.pyannote[2483].end 12358.97721875
transcript.pyannote[2484].speaker SPEAKER_08
transcript.pyannote[2484].start 12363.43221875
transcript.pyannote[2484].end 12367.97159375
transcript.pyannote[2485].speaker SPEAKER_08
transcript.pyannote[2485].start 12368.66346875
transcript.pyannote[2485].end 12373.20284375
transcript.pyannote[2486].speaker SPEAKER_10
transcript.pyannote[2486].start 12371.56596875
transcript.pyannote[2486].end 12375.39659375
transcript.pyannote[2487].speaker SPEAKER_10
transcript.pyannote[2487].start 12375.80159375
transcript.pyannote[2487].end 12375.97034375
transcript.pyannote[2488].speaker SPEAKER_08
transcript.pyannote[2488].start 12375.97034375
transcript.pyannote[2488].end 12394.66784375
transcript.pyannote[2489].speaker SPEAKER_10
transcript.pyannote[2489].start 12376.25721875
transcript.pyannote[2489].end 12377.87721875
transcript.pyannote[2490].speaker SPEAKER_16
transcript.pyannote[2490].start 12391.56284375
transcript.pyannote[2490].end 12393.50346875
transcript.pyannote[2491].speaker SPEAKER_08
transcript.pyannote[2491].start 12394.98846875
transcript.pyannote[2491].end 12427.75971875
transcript.pyannote[2492].speaker SPEAKER_10
transcript.pyannote[2492].start 12401.67096875
transcript.pyannote[2492].end 12402.90284375
transcript.pyannote[2493].speaker SPEAKER_10
transcript.pyannote[2493].start 12403.10534375
transcript.pyannote[2493].end 12403.32471875
transcript.pyannote[2494].speaker SPEAKER_10
transcript.pyannote[2494].start 12403.42596875
transcript.pyannote[2494].end 12408.06659375
transcript.pyannote[2495].speaker SPEAKER_08
transcript.pyannote[2495].start 12428.14784375
transcript.pyannote[2495].end 12428.19846875
transcript.pyannote[2496].speaker SPEAKER_10
transcript.pyannote[2496].start 12428.19846875
transcript.pyannote[2496].end 12428.45159375
transcript.pyannote[2497].speaker SPEAKER_08
transcript.pyannote[2497].start 12428.45159375
transcript.pyannote[2497].end 12428.46846875
transcript.pyannote[2498].speaker SPEAKER_10
transcript.pyannote[2498].start 12428.46846875
transcript.pyannote[2498].end 12428.48534375
transcript.pyannote[2499].speaker SPEAKER_10
transcript.pyannote[2499].start 12428.92409375
transcript.pyannote[2499].end 12429.41346875
transcript.pyannote[2500].speaker SPEAKER_10
transcript.pyannote[2500].start 12429.59909375
transcript.pyannote[2500].end 12433.95284375
transcript.pyannote[2501].speaker SPEAKER_10
transcript.pyannote[2501].start 12434.22284375
transcript.pyannote[2501].end 12434.96534375
transcript.pyannote[2502].speaker SPEAKER_08
transcript.pyannote[2502].start 12434.96534375
transcript.pyannote[2502].end 12435.80909375
transcript.pyannote[2503].speaker SPEAKER_10
transcript.pyannote[2503].start 12435.80909375
transcript.pyannote[2503].end 12440.02784375
transcript.pyannote[2504].speaker SPEAKER_08
transcript.pyannote[2504].start 12436.97346875
transcript.pyannote[2504].end 12446.84534375
transcript.pyannote[2505].speaker SPEAKER_16
transcript.pyannote[2505].start 12440.02784375
transcript.pyannote[2505].end 12440.50034375
transcript.pyannote[2506].speaker SPEAKER_30
transcript.pyannote[2506].start 12441.12471875
transcript.pyannote[2506].end 12441.24284375
transcript.pyannote[2507].speaker SPEAKER_16
transcript.pyannote[2507].start 12441.24284375
transcript.pyannote[2507].end 12441.32721875
transcript.pyannote[2508].speaker SPEAKER_30
transcript.pyannote[2508].start 12441.32721875
transcript.pyannote[2508].end 12441.36096875
transcript.pyannote[2509].speaker SPEAKER_16
transcript.pyannote[2509].start 12441.36096875
transcript.pyannote[2509].end 12441.42846875
transcript.pyannote[2510].speaker SPEAKER_16
transcript.pyannote[2510].start 12448.14471875
transcript.pyannote[2510].end 12449.27534375
transcript.pyannote[2511].speaker SPEAKER_16
transcript.pyannote[2511].start 12449.96721875
transcript.pyannote[2511].end 12450.57471875
transcript.pyannote[2512].speaker SPEAKER_16
transcript.pyannote[2512].start 12450.65909375
transcript.pyannote[2512].end 12451.41846875
transcript.pyannote[2513].speaker SPEAKER_16
transcript.pyannote[2513].start 12451.77284375
transcript.pyannote[2513].end 12453.20721875
transcript.pyannote[2514].speaker SPEAKER_16
transcript.pyannote[2514].start 12453.94971875
transcript.pyannote[2514].end 12454.65846875
transcript.pyannote[2515].speaker SPEAKER_17
transcript.pyannote[2515].start 12455.06346875
transcript.pyannote[2515].end 12455.28284375
transcript.pyannote[2516].speaker SPEAKER_16
transcript.pyannote[2516].start 12458.11784375
transcript.pyannote[2516].end 12462.50534375
transcript.pyannote[2517].speaker SPEAKER_16
transcript.pyannote[2517].start 12462.87659375
transcript.pyannote[2517].end 12472.36034375
transcript.pyannote[2518].speaker SPEAKER_09
transcript.pyannote[2518].start 12481.15221875
transcript.pyannote[2518].end 12488.76284375
transcript.pyannote[2519].speaker SPEAKER_09
transcript.pyannote[2519].start 12493.36971875
transcript.pyannote[2519].end 12494.60159375
transcript.pyannote[2520].speaker SPEAKER_09
transcript.pyannote[2520].start 12495.49596875
transcript.pyannote[2520].end 12499.00596875
transcript.pyannote[2521].speaker SPEAKER_09
transcript.pyannote[2521].start 12499.25909375
transcript.pyannote[2521].end 12499.88346875
transcript.pyannote[2522].speaker SPEAKER_09
transcript.pyannote[2522].start 12500.44034375
transcript.pyannote[2522].end 12501.09846875
transcript.pyannote[2523].speaker SPEAKER_09
transcript.pyannote[2523].start 12501.80721875
transcript.pyannote[2523].end 12502.31346875
transcript.pyannote[2524].speaker SPEAKER_09
transcript.pyannote[2524].start 12502.97159375
transcript.pyannote[2524].end 12505.23284375
transcript.pyannote[2525].speaker SPEAKER_09
transcript.pyannote[2525].start 12505.48596875
transcript.pyannote[2525].end 12506.54909375
transcript.pyannote[2526].speaker SPEAKER_09
transcript.pyannote[2526].start 12507.03846875
transcript.pyannote[2526].end 12515.03721875
transcript.pyannote[2527].speaker SPEAKER_09
transcript.pyannote[2527].start 12515.13846875
transcript.pyannote[2527].end 12516.20159375
transcript.pyannote[2528].speaker SPEAKER_09
transcript.pyannote[2528].start 12516.55596875
transcript.pyannote[2528].end 12516.97784375
transcript.pyannote[2529].speaker SPEAKER_09
transcript.pyannote[2529].start 12517.01159375
transcript.pyannote[2529].end 12517.02846875
transcript.pyannote[2530].speaker SPEAKER_09
transcript.pyannote[2530].start 12517.09596875
transcript.pyannote[2530].end 12518.20971875
transcript.pyannote[2531].speaker SPEAKER_10
transcript.pyannote[2531].start 12523.27221875
transcript.pyannote[2531].end 12525.70221875
transcript.pyannote[2532].speaker SPEAKER_10
transcript.pyannote[2532].start 12525.78659375
transcript.pyannote[2532].end 12526.71471875
transcript.pyannote[2533].speaker SPEAKER_10
transcript.pyannote[2533].start 12527.32221875
transcript.pyannote[2533].end 12528.60471875
transcript.pyannote[2534].speaker SPEAKER_10
transcript.pyannote[2534].start 12528.87471875
transcript.pyannote[2534].end 12531.13596875
transcript.pyannote[2535].speaker SPEAKER_09
transcript.pyannote[2535].start 12531.13596875
transcript.pyannote[2535].end 12531.16971875
transcript.pyannote[2536].speaker SPEAKER_10
transcript.pyannote[2536].start 12532.30034375
transcript.pyannote[2536].end 12532.33409375
transcript.pyannote[2537].speaker SPEAKER_09
transcript.pyannote[2537].start 12532.33409375
transcript.pyannote[2537].end 12535.62471875
transcript.pyannote[2538].speaker SPEAKER_09
transcript.pyannote[2538].start 12535.79346875
transcript.pyannote[2538].end 12553.96784375
transcript.pyannote[2539].speaker SPEAKER_09
transcript.pyannote[2539].start 12554.25471875
transcript.pyannote[2539].end 12561.76409375
transcript.pyannote[2540].speaker SPEAKER_09
transcript.pyannote[2540].start 12561.86534375
transcript.pyannote[2540].end 12564.41346875
transcript.pyannote[2541].speaker SPEAKER_09
transcript.pyannote[2541].start 12564.88596875
transcript.pyannote[2541].end 12565.29096875
transcript.pyannote[2542].speaker SPEAKER_09
transcript.pyannote[2542].start 12565.96596875
transcript.pyannote[2542].end 12567.67034375
transcript.pyannote[2543].speaker SPEAKER_09
transcript.pyannote[2543].start 12567.83909375
transcript.pyannote[2543].end 12569.71221875
transcript.pyannote[2544].speaker SPEAKER_09
transcript.pyannote[2544].start 12569.93159375
transcript.pyannote[2544].end 12574.03221875
transcript.pyannote[2545].speaker SPEAKER_09
transcript.pyannote[2545].start 12574.26846875
transcript.pyannote[2545].end 12576.76596875
transcript.pyannote[2546].speaker SPEAKER_09
transcript.pyannote[2546].start 12577.35659375
transcript.pyannote[2546].end 12580.00596875
transcript.pyannote[2547].speaker SPEAKER_09
transcript.pyannote[2547].start 12580.29284375
transcript.pyannote[2547].end 12580.78221875
transcript.pyannote[2548].speaker SPEAKER_09
transcript.pyannote[2548].start 12581.11971875
transcript.pyannote[2548].end 12585.86159375
transcript.pyannote[2549].speaker SPEAKER_09
transcript.pyannote[2549].start 12586.24971875
transcript.pyannote[2549].end 12588.44346875
transcript.pyannote[2550].speaker SPEAKER_09
transcript.pyannote[2550].start 12588.62909375
transcript.pyannote[2550].end 12591.51471875
transcript.pyannote[2551].speaker SPEAKER_09
transcript.pyannote[2551].start 12592.00409375
transcript.pyannote[2551].end 12592.34159375
transcript.pyannote[2552].speaker SPEAKER_09
transcript.pyannote[2552].start 12592.72971875
transcript.pyannote[2552].end 12593.10096875
transcript.pyannote[2553].speaker SPEAKER_09
transcript.pyannote[2553].start 12593.59034375
transcript.pyannote[2553].end 12594.77159375
transcript.pyannote[2554].speaker SPEAKER_09
transcript.pyannote[2554].start 12594.99096875
transcript.pyannote[2554].end 12598.87221875
transcript.pyannote[2555].speaker SPEAKER_09
transcript.pyannote[2555].start 12599.29409375
transcript.pyannote[2555].end 12602.23034375
transcript.pyannote[2556].speaker SPEAKER_09
transcript.pyannote[2556].start 12602.39909375
transcript.pyannote[2556].end 12603.04034375
transcript.pyannote[2557].speaker SPEAKER_09
transcript.pyannote[2557].start 12603.47909375
transcript.pyannote[2557].end 12606.66846875
transcript.pyannote[2558].speaker SPEAKER_09
transcript.pyannote[2558].start 12606.82034375
transcript.pyannote[2558].end 12608.40659375
transcript.pyannote[2559].speaker SPEAKER_09
transcript.pyannote[2559].start 12608.84534375
transcript.pyannote[2559].end 12609.80721875
transcript.pyannote[2560].speaker SPEAKER_09
transcript.pyannote[2560].start 12610.11096875
transcript.pyannote[2560].end 12611.66346875
transcript.pyannote[2561].speaker SPEAKER_11
transcript.pyannote[2561].start 12613.58721875
transcript.pyannote[2561].end 12627.47534375
transcript.pyannote[2562].speaker SPEAKER_09
transcript.pyannote[2562].start 12622.83471875
transcript.pyannote[2562].end 12623.56034375
transcript.pyannote[2563].speaker SPEAKER_11
transcript.pyannote[2563].start 12627.71159375
transcript.pyannote[2563].end 12637.70159375
transcript.pyannote[2564].speaker SPEAKER_09
transcript.pyannote[2564].start 12637.83659375
transcript.pyannote[2564].end 12640.16534375
transcript.pyannote[2565].speaker SPEAKER_09
transcript.pyannote[2565].start 12640.38471875
transcript.pyannote[2565].end 12652.14659375
transcript.pyannote[2566].speaker SPEAKER_09
transcript.pyannote[2566].start 12652.48409375
transcript.pyannote[2566].end 12653.22659375
transcript.pyannote[2567].speaker SPEAKER_09
transcript.pyannote[2567].start 12653.64846875
transcript.pyannote[2567].end 12658.84596875
transcript.pyannote[2568].speaker SPEAKER_09
transcript.pyannote[2568].start 12659.41971875
transcript.pyannote[2568].end 12664.56659375
transcript.pyannote[2569].speaker SPEAKER_09
transcript.pyannote[2569].start 12665.02221875
transcript.pyannote[2569].end 12672.70034375
transcript.pyannote[2570].speaker SPEAKER_09
transcript.pyannote[2570].start 12673.44284375
transcript.pyannote[2570].end 12689.03534375
transcript.pyannote[2571].speaker SPEAKER_10
transcript.pyannote[2571].start 12689.03534375
transcript.pyannote[2571].end 12701.70846875
transcript.pyannote[2572].speaker SPEAKER_10
transcript.pyannote[2572].start 12701.96159375
transcript.pyannote[2572].end 12704.96534375
transcript.pyannote[2573].speaker SPEAKER_18
transcript.pyannote[2573].start 12702.90659375
transcript.pyannote[2573].end 12703.64909375
transcript.pyannote[2574].speaker SPEAKER_09
transcript.pyannote[2574].start 12703.64909375
transcript.pyannote[2574].end 12703.66596875
transcript.pyannote[2575].speaker SPEAKER_09
transcript.pyannote[2575].start 12704.96534375
transcript.pyannote[2575].end 12705.04971875
transcript.pyannote[2576].speaker SPEAKER_10
transcript.pyannote[2576].start 12705.79221875
transcript.pyannote[2576].end 12705.82596875
transcript.pyannote[2577].speaker SPEAKER_09
transcript.pyannote[2577].start 12705.82596875
transcript.pyannote[2577].end 12707.66534375
transcript.pyannote[2578].speaker SPEAKER_09
transcript.pyannote[2578].start 12708.01971875
transcript.pyannote[2578].end 12717.90846875
transcript.pyannote[2579].speaker SPEAKER_09
transcript.pyannote[2579].start 12718.17846875
transcript.pyannote[2579].end 12726.29534375
transcript.pyannote[2580].speaker SPEAKER_09
transcript.pyannote[2580].start 12726.71721875
transcript.pyannote[2580].end 12729.53534375
transcript.pyannote[2581].speaker SPEAKER_10
transcript.pyannote[2581].start 12729.48471875
transcript.pyannote[2581].end 12751.87784375
transcript.pyannote[2582].speaker SPEAKER_09
transcript.pyannote[2582].start 12750.81471875
transcript.pyannote[2582].end 12752.33346875
transcript.pyannote[2583].speaker SPEAKER_10
transcript.pyannote[2583].start 12752.33346875
transcript.pyannote[2583].end 12752.36721875
transcript.pyannote[2584].speaker SPEAKER_10
transcript.pyannote[2584].start 12752.45159375
transcript.pyannote[2584].end 12758.96534375
transcript.pyannote[2585].speaker SPEAKER_09
transcript.pyannote[2585].start 12758.96534375
transcript.pyannote[2585].end 12774.70971875
transcript.pyannote[2586].speaker SPEAKER_10
transcript.pyannote[2586].start 12774.13596875
transcript.pyannote[2586].end 12779.97471875
transcript.pyannote[2587].speaker SPEAKER_09
transcript.pyannote[2587].start 12779.97471875
transcript.pyannote[2587].end 12789.35721875
transcript.pyannote[2588].speaker SPEAKER_09
transcript.pyannote[2588].start 12789.55971875
transcript.pyannote[2588].end 12791.70284375
transcript.pyannote[2589].speaker SPEAKER_09
transcript.pyannote[2589].start 12791.92221875
transcript.pyannote[2589].end 12796.27596875
transcript.pyannote[2590].speaker SPEAKER_09
transcript.pyannote[2590].start 12796.96784375
transcript.pyannote[2590].end 12798.58784375
transcript.pyannote[2591].speaker SPEAKER_09
transcript.pyannote[2591].start 12799.16159375
transcript.pyannote[2591].end 12800.47784375
transcript.pyannote[2592].speaker SPEAKER_09
transcript.pyannote[2592].start 12800.91659375
transcript.pyannote[2592].end 12801.33846875
transcript.pyannote[2593].speaker SPEAKER_09
transcript.pyannote[2593].start 12801.84471875
transcript.pyannote[2593].end 12805.01721875
transcript.pyannote[2594].speaker SPEAKER_10
transcript.pyannote[2594].start 12805.01721875
transcript.pyannote[2594].end 12805.03409375
transcript.pyannote[2595].speaker SPEAKER_10
transcript.pyannote[2595].start 12807.56534375
transcript.pyannote[2595].end 12808.98284375
transcript.pyannote[2596].speaker SPEAKER_09
transcript.pyannote[2596].start 12808.98284375
transcript.pyannote[2596].end 12809.03346875
transcript.pyannote[2597].speaker SPEAKER_10
transcript.pyannote[2597].start 12809.03346875
transcript.pyannote[2597].end 12809.16846875
transcript.pyannote[2598].speaker SPEAKER_09
transcript.pyannote[2598].start 12809.16846875
transcript.pyannote[2598].end 12810.02909375
transcript.pyannote[2599].speaker SPEAKER_10
transcript.pyannote[2599].start 12810.02909375
transcript.pyannote[2599].end 12818.01096875
transcript.pyannote[2600].speaker SPEAKER_27
transcript.pyannote[2600].start 12818.09534375
transcript.pyannote[2600].end 12818.41596875
transcript.pyannote[2601].speaker SPEAKER_10
transcript.pyannote[2601].start 12818.46659375
transcript.pyannote[2601].end 12826.70159375
transcript.pyannote[2602].speaker SPEAKER_09
transcript.pyannote[2602].start 12826.70159375
transcript.pyannote[2602].end 12828.67596875
transcript.pyannote[2603].speaker SPEAKER_09
transcript.pyannote[2603].start 12828.87846875
transcript.pyannote[2603].end 12836.62409375
transcript.pyannote[2604].speaker SPEAKER_09
transcript.pyannote[2604].start 12836.84346875
transcript.pyannote[2604].end 12845.71971875
transcript.pyannote[2605].speaker SPEAKER_09
transcript.pyannote[2605].start 12846.17534375
transcript.pyannote[2605].end 12854.88284375
transcript.pyannote[2606].speaker SPEAKER_10
transcript.pyannote[2606].start 12849.21284375
transcript.pyannote[2606].end 12849.93846875
transcript.pyannote[2607].speaker SPEAKER_00
transcript.pyannote[2607].start 12849.93846875
transcript.pyannote[2607].end 12849.97221875
transcript.pyannote[2608].speaker SPEAKER_10
transcript.pyannote[2608].start 12854.37659375
transcript.pyannote[2608].end 12859.72596875
transcript.pyannote[2609].speaker SPEAKER_10
transcript.pyannote[2609].start 12860.18159375
transcript.pyannote[2609].end 12862.00409375
transcript.pyannote[2610].speaker SPEAKER_16
transcript.pyannote[2610].start 12863.11784375
transcript.pyannote[2610].end 12865.48034375
transcript.pyannote[2611].speaker SPEAKER_16
transcript.pyannote[2611].start 12866.27346875
transcript.pyannote[2611].end 12869.27721875
transcript.pyannote[2612].speaker SPEAKER_31
transcript.pyannote[2612].start 12878.84534375
transcript.pyannote[2612].end 12881.25846875
transcript.pyannote[2613].speaker SPEAKER_16
transcript.pyannote[2613].start 12881.66346875
transcript.pyannote[2613].end 12882.38909375
transcript.pyannote[2614].speaker SPEAKER_31
transcript.pyannote[2614].start 12890.03346875
transcript.pyannote[2614].end 12891.43409375
transcript.pyannote[2615].speaker SPEAKER_26
transcript.pyannote[2615].start 12890.10096875
transcript.pyannote[2615].end 12890.42159375
transcript.pyannote[2616].speaker SPEAKER_31
transcript.pyannote[2616].start 12891.75471875
transcript.pyannote[2616].end 12895.95659375
transcript.pyannote[2617].speaker SPEAKER_31
transcript.pyannote[2617].start 12896.37846875
transcript.pyannote[2617].end 12908.15721875
transcript.pyannote[2618].speaker SPEAKER_31
transcript.pyannote[2618].start 12908.30909375
transcript.pyannote[2618].end 12916.24034375
transcript.pyannote[2619].speaker SPEAKER_31
transcript.pyannote[2619].start 12916.47659375
transcript.pyannote[2619].end 12925.47096875
transcript.pyannote[2620].speaker SPEAKER_31
transcript.pyannote[2620].start 12925.57221875
transcript.pyannote[2620].end 12935.07284375
transcript.pyannote[2621].speaker SPEAKER_31
transcript.pyannote[2621].start 12935.10659375
transcript.pyannote[2621].end 12938.59971875
transcript.pyannote[2622].speaker SPEAKER_31
transcript.pyannote[2622].start 12938.78534375
transcript.pyannote[2622].end 12949.56846875
transcript.pyannote[2623].speaker SPEAKER_31
transcript.pyannote[2623].start 12950.04096875
transcript.pyannote[2623].end 12950.05784375
transcript.pyannote[2624].speaker SPEAKER_10
transcript.pyannote[2624].start 12950.05784375
transcript.pyannote[2624].end 12962.51159375
transcript.pyannote[2625].speaker SPEAKER_31
transcript.pyannote[2625].start 12962.89971875
transcript.pyannote[2625].end 12969.39659375
transcript.pyannote[2626].speaker SPEAKER_10
transcript.pyannote[2626].start 12969.39659375
transcript.pyannote[2626].end 12969.41346875
transcript.pyannote[2627].speaker SPEAKER_31
transcript.pyannote[2627].start 12969.41346875
transcript.pyannote[2627].end 12969.97034375
transcript.pyannote[2628].speaker SPEAKER_10
transcript.pyannote[2628].start 12969.97034375
transcript.pyannote[2628].end 12971.13471875
transcript.pyannote[2629].speaker SPEAKER_10
transcript.pyannote[2629].start 12972.21471875
transcript.pyannote[2629].end 12988.98846875
transcript.pyannote[2630].speaker SPEAKER_00
transcript.pyannote[2630].start 12978.71159375
transcript.pyannote[2630].end 12979.62284375
transcript.pyannote[2631].speaker SPEAKER_31
transcript.pyannote[2631].start 12988.02659375
transcript.pyannote[2631].end 12994.37159375
transcript.pyannote[2632].speaker SPEAKER_31
transcript.pyannote[2632].start 12994.64159375
transcript.pyannote[2632].end 12996.93659375
transcript.pyannote[2633].speaker SPEAKER_10
transcript.pyannote[2633].start 12994.69221875
transcript.pyannote[2633].end 13003.77096875
transcript.pyannote[2634].speaker SPEAKER_31
transcript.pyannote[2634].start 13000.91909375
transcript.pyannote[2634].end 13001.32409375
transcript.pyannote[2635].speaker SPEAKER_31
transcript.pyannote[2635].start 13003.18034375
transcript.pyannote[2635].end 13004.12534375
transcript.pyannote[2636].speaker SPEAKER_10
transcript.pyannote[2636].start 13005.52596875
transcript.pyannote[2636].end 13012.81596875
transcript.pyannote[2637].speaker SPEAKER_31
transcript.pyannote[2637].start 13006.08284375
transcript.pyannote[2637].end 13006.47096875
transcript.pyannote[2638].speaker SPEAKER_10
transcript.pyannote[2638].start 13013.62596875
transcript.pyannote[2638].end 13021.03409375
transcript.pyannote[2639].speaker SPEAKER_27
transcript.pyannote[2639].start 13014.99284375
transcript.pyannote[2639].end 13015.39784375
transcript.pyannote[2640].speaker SPEAKER_31
transcript.pyannote[2640].start 13021.03409375
transcript.pyannote[2640].end 13024.03784375
transcript.pyannote[2641].speaker SPEAKER_31
transcript.pyannote[2641].start 13024.44284375
transcript.pyannote[2641].end 13040.03534375
transcript.pyannote[2642].speaker SPEAKER_27
transcript.pyannote[2642].start 13026.72096875
transcript.pyannote[2642].end 13026.97409375
transcript.pyannote[2643].speaker SPEAKER_00
transcript.pyannote[2643].start 13026.97409375
transcript.pyannote[2643].end 13027.29471875
transcript.pyannote[2644].speaker SPEAKER_27
transcript.pyannote[2644].start 13037.25096875
transcript.pyannote[2644].end 13037.26784375
transcript.pyannote[2645].speaker SPEAKER_09
transcript.pyannote[2645].start 13037.26784375
transcript.pyannote[2645].end 13037.97659375
transcript.pyannote[2646].speaker SPEAKER_27
transcript.pyannote[2646].start 13037.97659375
transcript.pyannote[2646].end 13038.61784375
transcript.pyannote[2647].speaker SPEAKER_31
transcript.pyannote[2647].start 13040.40659375
transcript.pyannote[2647].end 13048.11846875
transcript.pyannote[2648].speaker SPEAKER_10
transcript.pyannote[2648].start 13050.48096875
transcript.pyannote[2648].end 13062.09096875
transcript.pyannote[2649].speaker SPEAKER_10
transcript.pyannote[2649].start 13062.24284375
transcript.pyannote[2649].end 13064.58846875
transcript.pyannote[2650].speaker SPEAKER_10
transcript.pyannote[2650].start 13064.67284375
transcript.pyannote[2650].end 13073.39721875
transcript.pyannote[2651].speaker SPEAKER_27
transcript.pyannote[2651].start 13073.31284375
transcript.pyannote[2651].end 13073.92034375
transcript.pyannote[2652].speaker SPEAKER_10
transcript.pyannote[2652].start 13073.59971875
transcript.pyannote[2652].end 13079.70846875
transcript.pyannote[2653].speaker SPEAKER_10
transcript.pyannote[2653].start 13079.82659375
transcript.pyannote[2653].end 13099.03034375
transcript.pyannote[2654].speaker SPEAKER_32
transcript.pyannote[2654].start 13086.00284375
transcript.pyannote[2654].end 13086.01971875
transcript.pyannote[2655].speaker SPEAKER_27
transcript.pyannote[2655].start 13086.01971875
transcript.pyannote[2655].end 13086.15471875
transcript.pyannote[2656].speaker SPEAKER_32
transcript.pyannote[2656].start 13086.15471875
transcript.pyannote[2656].end 13086.35721875
transcript.pyannote[2657].speaker SPEAKER_31
transcript.pyannote[2657].start 13099.03034375
transcript.pyannote[2657].end 13137.30284375
transcript.pyannote[2658].speaker SPEAKER_11
transcript.pyannote[2658].start 13111.46721875
transcript.pyannote[2658].end 13112.02409375
transcript.pyannote[2659].speaker SPEAKER_16
transcript.pyannote[2659].start 13135.83471875
transcript.pyannote[2659].end 13136.18909375
transcript.pyannote[2660].speaker SPEAKER_16
transcript.pyannote[2660].start 13136.94846875
transcript.pyannote[2660].end 13136.96534375
transcript.pyannote[2661].speaker SPEAKER_09
transcript.pyannote[2661].start 13136.96534375
transcript.pyannote[2661].end 13136.99909375
transcript.pyannote[2662].speaker SPEAKER_16
transcript.pyannote[2662].start 13136.99909375
transcript.pyannote[2662].end 13137.25221875
transcript.pyannote[2663].speaker SPEAKER_09
transcript.pyannote[2663].start 13137.25221875
transcript.pyannote[2663].end 13137.28596875
transcript.pyannote[2664].speaker SPEAKER_09
transcript.pyannote[2664].start 13137.30284375
transcript.pyannote[2664].end 13137.94409375
transcript.pyannote[2665].speaker SPEAKER_31
transcript.pyannote[2665].start 13137.94409375
transcript.pyannote[2665].end 13139.39534375
transcript.pyannote[2666].speaker SPEAKER_16
transcript.pyannote[2666].start 13139.54721875
transcript.pyannote[2666].end 13141.69034375
transcript.pyannote[2667].speaker SPEAKER_16
transcript.pyannote[2667].start 13141.89284375
transcript.pyannote[2667].end 13146.26346875
transcript.pyannote[2668].speaker SPEAKER_16
transcript.pyannote[2668].start 13146.61784375
transcript.pyannote[2668].end 13149.82409375
transcript.pyannote[2669].speaker SPEAKER_25
transcript.pyannote[2669].start 13155.46034375
transcript.pyannote[2669].end 13162.64909375
transcript.pyannote[2670].speaker SPEAKER_25
transcript.pyannote[2670].start 13163.12159375
transcript.pyannote[2670].end 13163.15534375
transcript.pyannote[2671].speaker SPEAKER_16
transcript.pyannote[2671].start 13163.15534375
transcript.pyannote[2671].end 13164.35346875
transcript.pyannote[2672].speaker SPEAKER_16
transcript.pyannote[2672].start 13167.49221875
transcript.pyannote[2672].end 13168.06596875
transcript.pyannote[2673].speaker SPEAKER_22
transcript.pyannote[2673].start 13181.66721875
transcript.pyannote[2673].end 13187.16846875
transcript.pyannote[2674].speaker SPEAKER_22
transcript.pyannote[2674].start 13187.64096875
transcript.pyannote[2674].end 13192.33221875
transcript.pyannote[2675].speaker SPEAKER_21
transcript.pyannote[2675].start 13192.33221875
transcript.pyannote[2675].end 13192.34909375
transcript.pyannote[2676].speaker SPEAKER_21
transcript.pyannote[2676].start 13193.41221875
transcript.pyannote[2676].end 13196.51721875
transcript.pyannote[2677].speaker SPEAKER_21
transcript.pyannote[2677].start 13197.10784375
transcript.pyannote[2677].end 13200.65159375
transcript.pyannote[2678].speaker SPEAKER_21
transcript.pyannote[2678].start 13201.17471875
transcript.pyannote[2678].end 13204.24596875
transcript.pyannote[2679].speaker SPEAKER_21
transcript.pyannote[2679].start 13204.88721875
transcript.pyannote[2679].end 13205.71409375
transcript.pyannote[2680].speaker SPEAKER_21
transcript.pyannote[2680].start 13206.05159375
transcript.pyannote[2680].end 13206.89534375
transcript.pyannote[2681].speaker SPEAKER_21
transcript.pyannote[2681].start 13208.19471875
transcript.pyannote[2681].end 13208.90346875
transcript.pyannote[2682].speaker SPEAKER_21
transcript.pyannote[2682].start 13209.57846875
transcript.pyannote[2682].end 13211.35034375
transcript.pyannote[2683].speaker SPEAKER_21
transcript.pyannote[2683].start 13211.82284375
transcript.pyannote[2683].end 13213.12221875
transcript.pyannote[2684].speaker SPEAKER_21
transcript.pyannote[2684].start 13214.37096875
transcript.pyannote[2684].end 13216.07534375
transcript.pyannote[2685].speaker SPEAKER_21
transcript.pyannote[2685].start 13217.05409375
transcript.pyannote[2685].end 13217.86409375
transcript.pyannote[2686].speaker SPEAKER_21
transcript.pyannote[2686].start 13218.57284375
transcript.pyannote[2686].end 13219.56846875
transcript.pyannote[2687].speaker SPEAKER_21
transcript.pyannote[2687].start 13220.09159375
transcript.pyannote[2687].end 13221.10409375
transcript.pyannote[2688].speaker SPEAKER_21
transcript.pyannote[2688].start 13221.98159375
transcript.pyannote[2688].end 13223.28096875
transcript.pyannote[2689].speaker SPEAKER_21
transcript.pyannote[2689].start 13224.78284375
transcript.pyannote[2689].end 13225.54221875
transcript.pyannote[2690].speaker SPEAKER_21
transcript.pyannote[2690].start 13225.93034375
transcript.pyannote[2690].end 13227.90471875
transcript.pyannote[2691].speaker SPEAKER_21
transcript.pyannote[2691].start 13228.68096875
transcript.pyannote[2691].end 13230.82409375
transcript.pyannote[2692].speaker SPEAKER_21
transcript.pyannote[2692].start 13232.30909375
transcript.pyannote[2692].end 13236.12284375
transcript.pyannote[2693].speaker SPEAKER_21
transcript.pyannote[2693].start 13237.10159375
transcript.pyannote[2693].end 13238.29971875
transcript.pyannote[2694].speaker SPEAKER_21
transcript.pyannote[2694].start 13239.44721875
transcript.pyannote[2694].end 13241.84346875
transcript.pyannote[2695].speaker SPEAKER_21
transcript.pyannote[2695].start 13242.83909375
transcript.pyannote[2695].end 13245.06659375
transcript.pyannote[2696].speaker SPEAKER_21
transcript.pyannote[2696].start 13245.84284375
transcript.pyannote[2696].end 13246.95659375
transcript.pyannote[2697].speaker SPEAKER_21
transcript.pyannote[2697].start 13247.86784375
transcript.pyannote[2697].end 13250.63534375
transcript.pyannote[2698].speaker SPEAKER_21
transcript.pyannote[2698].start 13250.90534375
transcript.pyannote[2698].end 13252.42409375
transcript.pyannote[2699].speaker SPEAKER_21
transcript.pyannote[2699].start 13253.03159375
transcript.pyannote[2699].end 13253.89221875
transcript.pyannote[2700].speaker SPEAKER_21
transcript.pyannote[2700].start 13254.76971875
transcript.pyannote[2700].end 13255.83284375
transcript.pyannote[2701].speaker SPEAKER_21
transcript.pyannote[2701].start 13256.92971875
transcript.pyannote[2701].end 13258.16159375
transcript.pyannote[2702].speaker SPEAKER_21
transcript.pyannote[2702].start 13261.57034375
transcript.pyannote[2702].end 13262.83596875
transcript.pyannote[2703].speaker SPEAKER_21
transcript.pyannote[2703].start 13264.42221875
transcript.pyannote[2703].end 13266.09284375
transcript.pyannote[2704].speaker SPEAKER_21
transcript.pyannote[2704].start 13267.29096875
transcript.pyannote[2704].end 13268.99534375
transcript.pyannote[2705].speaker SPEAKER_21
transcript.pyannote[2705].start 13270.19346875
transcript.pyannote[2705].end 13272.23534375
transcript.pyannote[2706].speaker SPEAKER_21
transcript.pyannote[2706].start 13273.26471875
transcript.pyannote[2706].end 13274.76659375
transcript.pyannote[2707].speaker SPEAKER_21
transcript.pyannote[2707].start 13276.55534375
transcript.pyannote[2707].end 13277.34846875
transcript.pyannote[2708].speaker SPEAKER_21
transcript.pyannote[2708].start 13277.56784375
transcript.pyannote[2708].end 13278.41159375
transcript.pyannote[2709].speaker SPEAKER_21
transcript.pyannote[2709].start 13278.83346875
transcript.pyannote[2709].end 13281.19596875
transcript.pyannote[2710].speaker SPEAKER_21
transcript.pyannote[2710].start 13281.98909375
transcript.pyannote[2710].end 13282.88346875
transcript.pyannote[2711].speaker SPEAKER_21
transcript.pyannote[2711].start 13283.98034375
transcript.pyannote[2711].end 13285.34721875
transcript.pyannote[2712].speaker SPEAKER_21
transcript.pyannote[2712].start 13285.56659375
transcript.pyannote[2712].end 13286.83221875
transcript.pyannote[2713].speaker SPEAKER_21
transcript.pyannote[2713].start 13287.76034375
transcript.pyannote[2713].end 13289.29596875
transcript.pyannote[2714].speaker SPEAKER_21
transcript.pyannote[2714].start 13289.71784375
transcript.pyannote[2714].end 13290.49409375
transcript.pyannote[2715].speaker SPEAKER_21
transcript.pyannote[2715].start 13291.08471875
transcript.pyannote[2715].end 13292.82284375
transcript.pyannote[2716].speaker SPEAKER_21
transcript.pyannote[2716].start 13294.02096875
transcript.pyannote[2716].end 13296.28221875
transcript.pyannote[2717].speaker SPEAKER_21
transcript.pyannote[2717].start 13296.85596875
transcript.pyannote[2717].end 13298.13846875
transcript.pyannote[2718].speaker SPEAKER_18
transcript.pyannote[2718].start 13298.13846875
transcript.pyannote[2718].end 13298.20596875
transcript.pyannote[2719].speaker SPEAKER_21
transcript.pyannote[2719].start 13298.20596875
transcript.pyannote[2719].end 13298.22284375
transcript.pyannote[2720].speaker SPEAKER_18
transcript.pyannote[2720].start 13298.22284375
transcript.pyannote[2720].end 13298.29034375
transcript.pyannote[2721].speaker SPEAKER_21
transcript.pyannote[2721].start 13298.29034375
transcript.pyannote[2721].end 13298.54346875
transcript.pyannote[2722].speaker SPEAKER_18
transcript.pyannote[2722].start 13298.96534375
transcript.pyannote[2722].end 13299.96096875
transcript.pyannote[2723].speaker SPEAKER_18
transcript.pyannote[2723].start 13301.47971875
transcript.pyannote[2723].end 13307.72346875
transcript.pyannote[2724].speaker SPEAKER_18
transcript.pyannote[2724].start 13308.01034375
transcript.pyannote[2724].end 13310.23784375
transcript.pyannote[2725].speaker SPEAKER_21
transcript.pyannote[2725].start 13308.76971875
transcript.pyannote[2725].end 13310.25471875
transcript.pyannote[2726].speaker SPEAKER_18
transcript.pyannote[2726].start 13310.25471875
transcript.pyannote[2726].end 13310.96346875
transcript.pyannote[2727].speaker SPEAKER_21
transcript.pyannote[2727].start 13310.96346875
transcript.pyannote[2727].end 13312.68471875
transcript.pyannote[2728].speaker SPEAKER_21
transcript.pyannote[2728].start 13313.25846875
transcript.pyannote[2728].end 13314.42284375
transcript.pyannote[2729].speaker SPEAKER_21
transcript.pyannote[2729].start 13314.92909375
transcript.pyannote[2729].end 13318.01721875
transcript.pyannote[2730].speaker SPEAKER_21
transcript.pyannote[2730].start 13319.18159375
transcript.pyannote[2730].end 13321.29096875
transcript.pyannote[2731].speaker SPEAKER_21
transcript.pyannote[2731].start 13321.89846875
transcript.pyannote[2731].end 13322.86034375
transcript.pyannote[2732].speaker SPEAKER_21
transcript.pyannote[2732].start 13324.15971875
transcript.pyannote[2732].end 13325.79659375
transcript.pyannote[2733].speaker SPEAKER_21
transcript.pyannote[2733].start 13327.21409375
transcript.pyannote[2733].end 13330.45409375
transcript.pyannote[2734].speaker SPEAKER_21
transcript.pyannote[2734].start 13331.21346875
transcript.pyannote[2734].end 13334.40284375
transcript.pyannote[2735].speaker SPEAKER_21
transcript.pyannote[2735].start 13335.95534375
transcript.pyannote[2735].end 13338.14909375
transcript.pyannote[2736].speaker SPEAKER_21
transcript.pyannote[2736].start 13338.62159375
transcript.pyannote[2736].end 13339.22909375
transcript.pyannote[2737].speaker SPEAKER_21
transcript.pyannote[2737].start 13340.35971875
transcript.pyannote[2737].end 13344.12284375
transcript.pyannote[2738].speaker SPEAKER_21
transcript.pyannote[2738].start 13344.56159375
transcript.pyannote[2738].end 13345.27034375
transcript.pyannote[2739].speaker SPEAKER_21
transcript.pyannote[2739].start 13345.75971875
transcript.pyannote[2739].end 13347.80159375
transcript.pyannote[2740].speaker SPEAKER_21
transcript.pyannote[2740].start 13348.71284375
transcript.pyannote[2740].end 13354.93971875
transcript.pyannote[2741].speaker SPEAKER_21
transcript.pyannote[2741].start 13355.46284375
transcript.pyannote[2741].end 13356.71159375
transcript.pyannote[2742].speaker SPEAKER_32
transcript.pyannote[2742].start 13359.46221875
transcript.pyannote[2742].end 13363.96784375
transcript.pyannote[2743].speaker SPEAKER_21
transcript.pyannote[2743].start 13363.96784375
transcript.pyannote[2743].end 13364.57534375
transcript.pyannote[2744].speaker SPEAKER_21
transcript.pyannote[2744].start 13365.16596875
transcript.pyannote[2744].end 13368.62534375
transcript.pyannote[2745].speaker SPEAKER_32
transcript.pyannote[2745].start 13368.79409375
transcript.pyannote[2745].end 13369.14846875
transcript.pyannote[2746].speaker SPEAKER_32
transcript.pyannote[2746].start 13369.33409375
transcript.pyannote[2746].end 13369.35096875
transcript.pyannote[2747].speaker SPEAKER_21
transcript.pyannote[2747].start 13369.35096875
transcript.pyannote[2747].end 13369.87409375
transcript.pyannote[2748].speaker SPEAKER_21
transcript.pyannote[2748].start 13370.83596875
transcript.pyannote[2748].end 13372.45596875
transcript.pyannote[2749].speaker SPEAKER_21
transcript.pyannote[2749].start 13373.21534375
transcript.pyannote[2749].end 13376.28659375
transcript.pyannote[2750].speaker SPEAKER_21
transcript.pyannote[2750].start 13377.04596875
transcript.pyannote[2750].end 13379.12159375
transcript.pyannote[2751].speaker SPEAKER_21
transcript.pyannote[2751].start 13381.26471875
transcript.pyannote[2751].end 13387.03596875
transcript.pyannote[2752].speaker SPEAKER_18
transcript.pyannote[2752].start 13387.03596875
transcript.pyannote[2752].end 13387.98096875
transcript.pyannote[2753].speaker SPEAKER_18
transcript.pyannote[2753].start 13389.49971875
transcript.pyannote[2753].end 13413.51284375
transcript.pyannote[2754].speaker SPEAKER_18
transcript.pyannote[2754].start 13414.42409375
transcript.pyannote[2754].end 13416.48284375
transcript.pyannote[2755].speaker SPEAKER_18
transcript.pyannote[2755].start 13416.49971875
transcript.pyannote[2755].end 13416.80346875
transcript.pyannote[2756].speaker SPEAKER_18
transcript.pyannote[2756].start 13416.92159375
transcript.pyannote[2756].end 13416.95534375
transcript.pyannote[2757].speaker SPEAKER_21
transcript.pyannote[2757].start 13416.95534375
transcript.pyannote[2757].end 13418.27159375
transcript.pyannote[2758].speaker SPEAKER_18
transcript.pyannote[2758].start 13417.66409375
transcript.pyannote[2758].end 13419.21659375
transcript.pyannote[2759].speaker SPEAKER_21
transcript.pyannote[2759].start 13419.40221875
transcript.pyannote[2759].end 13422.42284375
transcript.pyannote[2760].speaker SPEAKER_21
transcript.pyannote[2760].start 13423.78971875
transcript.pyannote[2760].end 13425.88221875
transcript.pyannote[2761].speaker SPEAKER_21
transcript.pyannote[2761].start 13426.52346875
transcript.pyannote[2761].end 13428.24471875
transcript.pyannote[2762].speaker SPEAKER_18
transcript.pyannote[2762].start 13429.15596875
transcript.pyannote[2762].end 13430.26971875
transcript.pyannote[2763].speaker SPEAKER_21
transcript.pyannote[2763].start 13430.26971875
transcript.pyannote[2763].end 13431.94034375
transcript.pyannote[2764].speaker SPEAKER_18
transcript.pyannote[2764].start 13430.32034375
transcript.pyannote[2764].end 13431.38346875
transcript.pyannote[2765].speaker SPEAKER_21
transcript.pyannote[2765].start 13432.49721875
transcript.pyannote[2765].end 13434.96096875
transcript.pyannote[2766].speaker SPEAKER_21
transcript.pyannote[2766].start 13435.36596875
transcript.pyannote[2766].end 13435.99034375
transcript.pyannote[2767].speaker SPEAKER_21
transcript.pyannote[2767].start 13436.36159375
transcript.pyannote[2767].end 13437.72846875
transcript.pyannote[2768].speaker SPEAKER_21
transcript.pyannote[2768].start 13440.04034375
transcript.pyannote[2768].end 13440.81659375
transcript.pyannote[2769].speaker SPEAKER_21
transcript.pyannote[2769].start 13441.67721875
transcript.pyannote[2769].end 13443.48284375
transcript.pyannote[2770].speaker SPEAKER_21
transcript.pyannote[2770].start 13446.16596875
transcript.pyannote[2770].end 13450.75596875
transcript.pyannote[2771].speaker SPEAKER_32
transcript.pyannote[2771].start 13450.75596875
transcript.pyannote[2771].end 13450.77284375
transcript.pyannote[2772].speaker SPEAKER_21
transcript.pyannote[2772].start 13450.77284375
transcript.pyannote[2772].end 13453.59096875
transcript.pyannote[2773].speaker SPEAKER_32
transcript.pyannote[2773].start 13453.40534375
transcript.pyannote[2773].end 13454.14784375
transcript.pyannote[2774].speaker SPEAKER_21
transcript.pyannote[2774].start 13454.18159375
transcript.pyannote[2774].end 13456.76346875
transcript.pyannote[2775].speaker SPEAKER_21
transcript.pyannote[2775].start 13457.59034375
transcript.pyannote[2775].end 13458.31596875
transcript.pyannote[2776].speaker SPEAKER_21
transcript.pyannote[2776].start 13458.80534375
transcript.pyannote[2776].end 13460.76284375
transcript.pyannote[2777].speaker SPEAKER_26
transcript.pyannote[2777].start 13461.03284375
transcript.pyannote[2777].end 13461.33659375
transcript.pyannote[2778].speaker SPEAKER_21
transcript.pyannote[2778].start 13461.50534375
transcript.pyannote[2778].end 13463.02409375
transcript.pyannote[2779].speaker SPEAKER_21
transcript.pyannote[2779].start 13463.68221875
transcript.pyannote[2779].end 13464.91409375
transcript.pyannote[2780].speaker SPEAKER_21
transcript.pyannote[2780].start 13465.40346875
transcript.pyannote[2780].end 13469.74034375
transcript.pyannote[2781].speaker SPEAKER_32
transcript.pyannote[2781].start 13470.17909375
transcript.pyannote[2781].end 13476.45659375
transcript.pyannote[2782].speaker SPEAKER_32
transcript.pyannote[2782].start 13476.59159375
transcript.pyannote[2782].end 13478.17784375
transcript.pyannote[2783].speaker SPEAKER_32
transcript.pyannote[2783].start 13478.70096875
transcript.pyannote[2783].end 13479.69659375
transcript.pyannote[2784].speaker SPEAKER_32
transcript.pyannote[2784].start 13480.59096875
transcript.pyannote[2784].end 13481.55284375
transcript.pyannote[2785].speaker SPEAKER_32
transcript.pyannote[2785].start 13481.90721875
transcript.pyannote[2785].end 13483.22346875
transcript.pyannote[2786].speaker SPEAKER_21
transcript.pyannote[2786].start 13482.93659375
transcript.pyannote[2786].end 13486.39596875
transcript.pyannote[2787].speaker SPEAKER_32
transcript.pyannote[2787].start 13483.96596875
transcript.pyannote[2787].end 13484.18534375
transcript.pyannote[2788].speaker SPEAKER_32
transcript.pyannote[2788].start 13485.53534375
transcript.pyannote[2788].end 13485.92346875
transcript.pyannote[2789].speaker SPEAKER_21
transcript.pyannote[2789].start 13486.59846875
transcript.pyannote[2789].end 13488.01596875
transcript.pyannote[2790].speaker SPEAKER_21
transcript.pyannote[2790].start 13488.30284375
transcript.pyannote[2790].end 13489.41659375
transcript.pyannote[2791].speaker SPEAKER_32
transcript.pyannote[2791].start 13489.43346875
transcript.pyannote[2791].end 13489.45034375
transcript.pyannote[2792].speaker SPEAKER_32
transcript.pyannote[2792].start 13489.46721875
transcript.pyannote[2792].end 13489.73721875
transcript.pyannote[2793].speaker SPEAKER_21
transcript.pyannote[2793].start 13489.87221875
transcript.pyannote[2793].end 13490.34471875
transcript.pyannote[2794].speaker SPEAKER_21
transcript.pyannote[2794].start 13490.64846875
transcript.pyannote[2794].end 13491.45846875
transcript.pyannote[2795].speaker SPEAKER_21
transcript.pyannote[2795].start 13491.91409375
transcript.pyannote[2795].end 13493.55096875
transcript.pyannote[2796].speaker SPEAKER_21
transcript.pyannote[2796].start 13494.37784375
transcript.pyannote[2796].end 13495.47471875
transcript.pyannote[2797].speaker SPEAKER_21
transcript.pyannote[2797].start 13496.58846875
transcript.pyannote[2797].end 13497.87096875
transcript.pyannote[2798].speaker SPEAKER_21
transcript.pyannote[2798].start 13498.32659375
transcript.pyannote[2798].end 13499.65971875
transcript.pyannote[2799].speaker SPEAKER_21
transcript.pyannote[2799].start 13500.11534375
transcript.pyannote[2799].end 13501.48221875
transcript.pyannote[2800].speaker SPEAKER_21
transcript.pyannote[2800].start 13502.15721875
transcript.pyannote[2800].end 13509.22784375
transcript.pyannote[2801].speaker SPEAKER_21
transcript.pyannote[2801].start 13509.31221875
transcript.pyannote[2801].end 13511.11784375
transcript.pyannote[2802].speaker SPEAKER_32
transcript.pyannote[2802].start 13511.60721875
transcript.pyannote[2802].end 13511.65784375
transcript.pyannote[2803].speaker SPEAKER_21
transcript.pyannote[2803].start 13511.65784375
transcript.pyannote[2803].end 13512.16409375
transcript.pyannote[2804].speaker SPEAKER_32
transcript.pyannote[2804].start 13512.16409375
transcript.pyannote[2804].end 13512.24846875
transcript.pyannote[2805].speaker SPEAKER_32
transcript.pyannote[2805].start 13512.28221875
transcript.pyannote[2805].end 13512.58596875
transcript.pyannote[2806].speaker SPEAKER_21
transcript.pyannote[2806].start 13512.72096875
transcript.pyannote[2806].end 13512.97409375
transcript.pyannote[2807].speaker SPEAKER_16
transcript.pyannote[2807].start 13512.97409375
transcript.pyannote[2807].end 13513.48034375
transcript.pyannote[2808].speaker SPEAKER_16
transcript.pyannote[2808].start 13516.45034375
transcript.pyannote[2808].end 13519.36971875
transcript.pyannote[2809].speaker SPEAKER_16
transcript.pyannote[2809].start 13521.31034375
transcript.pyannote[2809].end 13526.71034375
transcript.pyannote[2810].speaker SPEAKER_16
transcript.pyannote[2810].start 13527.01409375
transcript.pyannote[2810].end 13529.64659375
transcript.pyannote[2811].speaker SPEAKER_16
transcript.pyannote[2811].start 13529.79846875
transcript.pyannote[2811].end 13530.77721875
transcript.pyannote[2812].speaker SPEAKER_16
transcript.pyannote[2812].start 13530.99659375
transcript.pyannote[2812].end 13536.64971875
transcript.pyannote[2813].speaker SPEAKER_16
transcript.pyannote[2813].start 13537.15596875
transcript.pyannote[2813].end 13538.11784375
transcript.pyannote[2814].speaker SPEAKER_16
transcript.pyannote[2814].start 13538.92784375
transcript.pyannote[2814].end 13539.90659375
transcript.pyannote[2815].speaker SPEAKER_16
transcript.pyannote[2815].start 13540.51409375
transcript.pyannote[2815].end 13541.83034375
transcript.pyannote[2816].speaker SPEAKER_16
transcript.pyannote[2816].start 13542.28596875
transcript.pyannote[2816].end 13548.56346875
transcript.pyannote[2817].speaker SPEAKER_16
transcript.pyannote[2817].start 13548.93471875
transcript.pyannote[2817].end 13550.04846875
transcript.pyannote[2818].speaker SPEAKER_16
transcript.pyannote[2818].start 13550.79096875
transcript.pyannote[2818].end 13555.31346875
transcript.pyannote[2819].speaker SPEAKER_16
transcript.pyannote[2819].start 13555.87034375
transcript.pyannote[2819].end 13557.06846875
transcript.pyannote[2820].speaker SPEAKER_16
transcript.pyannote[2820].start 13557.28784375
transcript.pyannote[2820].end 13561.06784375
transcript.pyannote[2821].speaker SPEAKER_26
transcript.pyannote[2821].start 13561.06784375
transcript.pyannote[2821].end 13561.47284375
transcript.pyannote[2822].speaker SPEAKER_16
transcript.pyannote[2822].start 13561.47284375
transcript.pyannote[2822].end 13561.48971875
transcript.pyannote[2823].speaker SPEAKER_16
transcript.pyannote[2823].start 13561.57409375
transcript.pyannote[2823].end 13567.44659375
transcript.pyannote[2824].speaker SPEAKER_16
transcript.pyannote[2824].start 13567.78409375
transcript.pyannote[2824].end 13582.22909375
transcript.pyannote[2825].speaker SPEAKER_16
transcript.pyannote[2825].start 13582.24596875
transcript.pyannote[2825].end 13589.94096875
transcript.pyannote[2826].speaker SPEAKER_26
transcript.pyannote[2826].start 13589.94096875
transcript.pyannote[2826].end 13589.95784375
transcript.pyannote[2827].speaker SPEAKER_16
transcript.pyannote[2827].start 13590.22784375
transcript.pyannote[2827].end 13591.18971875
transcript.pyannote[2828].speaker SPEAKER_16
transcript.pyannote[2828].start 13591.57784375
transcript.pyannote[2828].end 13595.66159375
transcript.pyannote[2829].speaker SPEAKER_26
transcript.pyannote[2829].start 13595.66159375
transcript.pyannote[2829].end 13596.18471875
transcript.pyannote[2830].speaker SPEAKER_16
transcript.pyannote[2830].start 13596.18471875
transcript.pyannote[2830].end 13596.20159375
transcript.pyannote[2831].speaker SPEAKER_16
transcript.pyannote[2831].start 13596.21846875
transcript.pyannote[2831].end 13600.89284375
transcript.pyannote[2832].speaker SPEAKER_26
transcript.pyannote[2832].start 13600.72409375
transcript.pyannote[2832].end 13600.75784375
transcript.pyannote[2833].speaker SPEAKER_26
transcript.pyannote[2833].start 13600.89284375
transcript.pyannote[2833].end 13601.46659375
transcript.pyannote[2834].speaker SPEAKER_16
transcript.pyannote[2834].start 13601.50034375
transcript.pyannote[2834].end 13606.95096875
transcript.pyannote[2835].speaker SPEAKER_26
transcript.pyannote[2835].start 13606.91721875
transcript.pyannote[2835].end 13607.38971875
transcript.pyannote[2836].speaker SPEAKER_16
transcript.pyannote[2836].start 13607.38971875
transcript.pyannote[2836].end 13618.47659375
transcript.pyannote[2837].speaker SPEAKER_26
transcript.pyannote[2837].start 13618.47659375
transcript.pyannote[2837].end 13618.86471875
transcript.pyannote[2838].speaker SPEAKER_16
transcript.pyannote[2838].start 13618.86471875
transcript.pyannote[2838].end 13621.78409375
transcript.pyannote[2839].speaker SPEAKER_16
transcript.pyannote[2839].start 13622.17221875
transcript.pyannote[2839].end 13629.96846875
transcript.pyannote[2840].speaker SPEAKER_24
transcript.pyannote[2840].start 13629.96846875
transcript.pyannote[2840].end 13630.03596875
transcript.pyannote[2841].speaker SPEAKER_16
transcript.pyannote[2841].start 13630.03596875
transcript.pyannote[2841].end 13635.45284375
transcript.pyannote[2842].speaker SPEAKER_16
transcript.pyannote[2842].start 13635.68909375
transcript.pyannote[2842].end 13641.15659375
transcript.pyannote[2843].speaker SPEAKER_04
transcript.pyannote[2843].start 13641.46034375
transcript.pyannote[2843].end 13641.96659375
transcript.pyannote[2844].speaker SPEAKER_15
transcript.pyannote[2844].start 13641.96659375
transcript.pyannote[2844].end 13642.00034375
transcript.pyannote[2845].speaker SPEAKER_16
transcript.pyannote[2845].start 13642.00034375
transcript.pyannote[2845].end 13663.81971875
transcript.pyannote[2846].speaker SPEAKER_04
transcript.pyannote[2846].start 13663.81971875
transcript.pyannote[2846].end 13664.37659375
transcript.pyannote[2847].speaker SPEAKER_16
transcript.pyannote[2847].start 13664.37659375
transcript.pyannote[2847].end 13664.39346875
transcript.pyannote[2848].speaker SPEAKER_16
transcript.pyannote[2848].start 13664.52846875
transcript.pyannote[2848].end 13685.68971875
transcript.pyannote[2849].speaker SPEAKER_15
transcript.pyannote[2849].start 13685.68971875
transcript.pyannote[2849].end 13686.38159375
transcript.pyannote[2850].speaker SPEAKER_16
transcript.pyannote[2850].start 13686.38159375
transcript.pyannote[2850].end 13687.36034375
transcript.pyannote[2851].speaker SPEAKER_16
transcript.pyannote[2851].start 13687.73159375
transcript.pyannote[2851].end 13689.97596875
transcript.pyannote[2852].speaker SPEAKER_16
transcript.pyannote[2852].start 13690.22909375
transcript.pyannote[2852].end 13698.31221875
transcript.pyannote[2853].speaker SPEAKER_16
transcript.pyannote[2853].start 13698.86909375
transcript.pyannote[2853].end 13700.37096875
transcript.pyannote[2854].speaker SPEAKER_16
transcript.pyannote[2854].start 13700.70846875
transcript.pyannote[2854].end 13708.62284375
transcript.pyannote[2855].speaker SPEAKER_16
transcript.pyannote[2855].start 13708.90971875
transcript.pyannote[2855].end 13739.43659375
transcript.pyannote[2856].speaker SPEAKER_26
transcript.pyannote[2856].start 13712.23409375
transcript.pyannote[2856].end 13712.72346875
transcript.pyannote[2857].speaker SPEAKER_26
transcript.pyannote[2857].start 13728.58596875
transcript.pyannote[2857].end 13728.88971875
transcript.pyannote[2858].speaker SPEAKER_26
transcript.pyannote[2858].start 13739.43659375
transcript.pyannote[2858].end 13739.99346875
transcript.pyannote[2859].speaker SPEAKER_16
transcript.pyannote[2859].start 13739.99346875
transcript.pyannote[2859].end 13755.99096875
transcript.pyannote[2860].speaker SPEAKER_16
transcript.pyannote[2860].start 13756.68284375
transcript.pyannote[2860].end 13760.91846875
transcript.pyannote[2861].speaker SPEAKER_16
transcript.pyannote[2861].start 13761.32346875
transcript.pyannote[2861].end 13766.18346875
transcript.pyannote[2862].speaker SPEAKER_16
transcript.pyannote[2862].start 13768.37721875
transcript.pyannote[2862].end 13771.02659375
transcript.pyannote[2863].speaker SPEAKER_16
transcript.pyannote[2863].start 13771.21221875
transcript.pyannote[2863].end 13772.44409375
transcript.pyannote[2864].speaker SPEAKER_30
transcript.pyannote[2864].start 13773.16971875
transcript.pyannote[2864].end 13776.54471875
transcript.pyannote[2865].speaker SPEAKER_27
transcript.pyannote[2865].start 13776.74721875
transcript.pyannote[2865].end 13776.94971875
transcript.pyannote[2866].speaker SPEAKER_16
transcript.pyannote[2866].start 13776.94971875
transcript.pyannote[2866].end 13776.96659375
transcript.pyannote[2867].speaker SPEAKER_30
transcript.pyannote[2867].start 13777.13534375
transcript.pyannote[2867].end 13811.23971875
transcript.pyannote[2868].speaker SPEAKER_27
transcript.pyannote[2868].start 13805.62034375
transcript.pyannote[2868].end 13806.17721875
transcript.pyannote[2869].speaker SPEAKER_16
transcript.pyannote[2869].start 13810.21034375
transcript.pyannote[2869].end 13812.64034375
transcript.pyannote[2870].speaker SPEAKER_27
transcript.pyannote[2870].start 13812.64034375
transcript.pyannote[2870].end 13812.70784375
transcript.pyannote[2871].speaker SPEAKER_16
transcript.pyannote[2871].start 13812.70784375
transcript.pyannote[2871].end 13812.74159375
transcript.pyannote[2872].speaker SPEAKER_27
transcript.pyannote[2872].start 13812.74159375
transcript.pyannote[2872].end 13813.04534375
transcript.pyannote[2873].speaker SPEAKER_16
transcript.pyannote[2873].start 13814.02409375
transcript.pyannote[2873].end 13814.98596875
transcript.pyannote[2874].speaker SPEAKER_16
transcript.pyannote[2874].start 13815.72846875
transcript.pyannote[2874].end 13832.80596875
transcript.pyannote[2875].speaker SPEAKER_16
transcript.pyannote[2875].start 13833.75096875
transcript.pyannote[2875].end 13834.66221875
transcript.pyannote[2876].speaker SPEAKER_16
transcript.pyannote[2876].start 13835.45534375
transcript.pyannote[2876].end 13836.78846875
transcript.pyannote[2877].speaker SPEAKER_16
transcript.pyannote[2877].start 13837.78409375
transcript.pyannote[2877].end 13854.05159375
transcript.pyannote[2878].speaker SPEAKER_16
transcript.pyannote[2878].start 13854.33846875
transcript.pyannote[2878].end 13862.16846875
transcript.pyannote[2879].speaker SPEAKER_16
transcript.pyannote[2879].start 13862.52284375
transcript.pyannote[2879].end 13863.77159375
transcript.pyannote[2880].speaker SPEAKER_16
transcript.pyannote[2880].start 13864.19346875
transcript.pyannote[2880].end 13864.83471875
transcript.pyannote[2881].speaker SPEAKER_16
transcript.pyannote[2881].start 13865.10471875
transcript.pyannote[2881].end 13866.79221875
transcript.pyannote[2882].speaker SPEAKER_26
transcript.pyannote[2882].start 13866.25221875
transcript.pyannote[2882].end 13866.65721875
transcript.pyannote[2883].speaker SPEAKER_16
transcript.pyannote[2883].start 13866.80909375
transcript.pyannote[2883].end 13876.39409375
transcript.pyannote[2884].speaker SPEAKER_12
transcript.pyannote[2884].start 13873.33971875
transcript.pyannote[2884].end 13873.62659375
transcript.pyannote[2885].speaker SPEAKER_12
transcript.pyannote[2885].start 13876.93409375
transcript.pyannote[2885].end 13899.25971875
transcript.pyannote[2886].speaker SPEAKER_12
transcript.pyannote[2886].start 13899.56346875
transcript.pyannote[2886].end 13905.04784375
transcript.pyannote[2887].speaker SPEAKER_12
transcript.pyannote[2887].start 13905.48659375
transcript.pyannote[2887].end 13911.84846875
transcript.pyannote[2888].speaker SPEAKER_12
transcript.pyannote[2888].start 13912.15221875
transcript.pyannote[2888].end 13915.27409375
transcript.pyannote[2889].speaker SPEAKER_12
transcript.pyannote[2889].start 13915.42596875
transcript.pyannote[2889].end 13916.91096875
transcript.pyannote[2890].speaker SPEAKER_12
transcript.pyannote[2890].start 13917.19784375
transcript.pyannote[2890].end 13925.36534375
transcript.pyannote[2891].speaker SPEAKER_12
transcript.pyannote[2891].start 13925.73659375
transcript.pyannote[2891].end 13928.60534375
transcript.pyannote[2892].speaker SPEAKER_12
transcript.pyannote[2892].start 13928.79096875
transcript.pyannote[2892].end 13941.64971875
transcript.pyannote[2893].speaker SPEAKER_12
transcript.pyannote[2893].start 13941.86909375
transcript.pyannote[2893].end 13945.00784375
transcript.pyannote[2894].speaker SPEAKER_12
transcript.pyannote[2894].start 13945.27784375
transcript.pyannote[2894].end 13959.68909375
transcript.pyannote[2895].speaker SPEAKER_12
transcript.pyannote[2895].start 13960.83659375
transcript.pyannote[2895].end 13962.42284375
transcript.pyannote[2896].speaker SPEAKER_12
transcript.pyannote[2896].start 13962.87846875
transcript.pyannote[2896].end 13967.35034375
transcript.pyannote[2897].speaker SPEAKER_12
transcript.pyannote[2897].start 13967.56971875
transcript.pyannote[2897].end 13977.62721875
transcript.pyannote[2898].speaker SPEAKER_12
transcript.pyannote[2898].start 13977.81284375
transcript.pyannote[2898].end 13982.53784375
transcript.pyannote[2899].speaker SPEAKER_12
transcript.pyannote[2899].start 13982.77409375
transcript.pyannote[2899].end 13983.80346875
transcript.pyannote[2900].speaker SPEAKER_12
transcript.pyannote[2900].start 13983.95534375
transcript.pyannote[2900].end 13989.54096875
transcript.pyannote[2901].speaker SPEAKER_12
transcript.pyannote[2901].start 13989.82784375
transcript.pyannote[2901].end 13992.15659375
transcript.pyannote[2902].speaker SPEAKER_12
transcript.pyannote[2902].start 13992.46034375
transcript.pyannote[2902].end 13996.02096875
transcript.pyannote[2903].speaker SPEAKER_12
transcript.pyannote[2903].start 13996.08846875
transcript.pyannote[2903].end 14000.98221875
transcript.pyannote[2904].speaker SPEAKER_12
transcript.pyannote[2904].start 14001.79221875
transcript.pyannote[2904].end 14018.98784375
transcript.pyannote[2905].speaker SPEAKER_12
transcript.pyannote[2905].start 14019.24096875
transcript.pyannote[2905].end 14033.06159375
transcript.pyannote[2906].speaker SPEAKER_12
transcript.pyannote[2906].start 14033.73659375
transcript.pyannote[2906].end 14036.48721875
transcript.pyannote[2907].speaker SPEAKER_12
transcript.pyannote[2907].start 14036.70659375
transcript.pyannote[2907].end 14039.33909375
transcript.pyannote[2908].speaker SPEAKER_12
transcript.pyannote[2908].start 14039.82846875
transcript.pyannote[2908].end 14044.95846875
transcript.pyannote[2909].speaker SPEAKER_12
transcript.pyannote[2909].start 14045.44784375
transcript.pyannote[2909].end 14046.78096875
transcript.pyannote[2910].speaker SPEAKER_12
transcript.pyannote[2910].start 14047.42221875
transcript.pyannote[2910].end 14056.01159375
transcript.pyannote[2911].speaker SPEAKER_12
transcript.pyannote[2911].start 14056.46721875
transcript.pyannote[2911].end 14061.34409375
transcript.pyannote[2912].speaker SPEAKER_12
transcript.pyannote[2912].start 14061.64784375
transcript.pyannote[2912].end 14065.57971875
transcript.pyannote[2913].speaker SPEAKER_12
transcript.pyannote[2913].start 14065.61346875
transcript.pyannote[2913].end 14067.36846875
transcript.pyannote[2914].speaker SPEAKER_12
transcript.pyannote[2914].start 14067.90846875
transcript.pyannote[2914].end 14069.02221875
transcript.pyannote[2915].speaker SPEAKER_12
transcript.pyannote[2915].start 14069.27534375
transcript.pyannote[2915].end 14076.41346875
transcript.pyannote[2916].speaker SPEAKER_12
transcript.pyannote[2916].start 14076.88596875
transcript.pyannote[2916].end 14080.15971875
transcript.pyannote[2917].speaker SPEAKER_12
transcript.pyannote[2917].start 14080.53096875
transcript.pyannote[2917].end 14096.51159375
transcript.pyannote[2918].speaker SPEAKER_12
transcript.pyannote[2918].start 14097.49034375
transcript.pyannote[2918].end 14102.65409375
transcript.pyannote[2919].speaker SPEAKER_12
transcript.pyannote[2919].start 14102.68784375
transcript.pyannote[2919].end 14110.97346875
transcript.pyannote[2920].speaker SPEAKER_12
transcript.pyannote[2920].start 14111.31096875
transcript.pyannote[2920].end 14113.63971875
transcript.pyannote[2921].speaker SPEAKER_12
transcript.pyannote[2921].start 14113.87596875
transcript.pyannote[2921].end 14115.85034375
transcript.pyannote[2922].speaker SPEAKER_12
transcript.pyannote[2922].start 14116.12034375
transcript.pyannote[2922].end 14120.94659375
transcript.pyannote[2923].speaker SPEAKER_12
transcript.pyannote[2923].start 14121.06471875
transcript.pyannote[2923].end 14129.01284375
transcript.pyannote[2924].speaker SPEAKER_12
transcript.pyannote[2924].start 14129.26596875
transcript.pyannote[2924].end 14144.31846875
transcript.pyannote[2925].speaker SPEAKER_12
transcript.pyannote[2925].start 14144.63909375
transcript.pyannote[2925].end 14146.29284375
transcript.pyannote[2926].speaker SPEAKER_12
transcript.pyannote[2926].start 14146.46159375
transcript.pyannote[2926].end 14147.13659375
transcript.pyannote[2927].speaker SPEAKER_12
transcript.pyannote[2927].start 14147.35596875
transcript.pyannote[2927].end 14148.63846875
transcript.pyannote[2928].speaker SPEAKER_12
transcript.pyannote[2928].start 14148.72284375
transcript.pyannote[2928].end 14151.50721875
transcript.pyannote[2929].speaker SPEAKER_12
transcript.pyannote[2929].start 14151.52409375
transcript.pyannote[2929].end 14153.66721875
transcript.pyannote[2930].speaker SPEAKER_12
transcript.pyannote[2930].start 14153.86971875
transcript.pyannote[2930].end 14160.46784375
transcript.pyannote[2931].speaker SPEAKER_12
transcript.pyannote[2931].start 14160.85596875
transcript.pyannote[2931].end 14167.15034375
transcript.pyannote[2932].speaker SPEAKER_12
transcript.pyannote[2932].start 14167.35284375
transcript.pyannote[2932].end 14169.05721875
transcript.pyannote[2933].speaker SPEAKER_12
transcript.pyannote[2933].start 14169.09096875
transcript.pyannote[2933].end 14171.31846875
transcript.pyannote[2934].speaker SPEAKER_12
transcript.pyannote[2934].start 14171.52096875
transcript.pyannote[2934].end 14173.71471875
transcript.pyannote[2935].speaker SPEAKER_12
transcript.pyannote[2935].start 14174.00159375
transcript.pyannote[2935].end 14177.02221875
transcript.pyannote[2936].speaker SPEAKER_12
transcript.pyannote[2936].start 14177.25846875
transcript.pyannote[2936].end 14180.31284375
transcript.pyannote[2937].speaker SPEAKER_12
transcript.pyannote[2937].start 14180.32971875
transcript.pyannote[2937].end 14183.53596875
transcript.pyannote[2938].speaker SPEAKER_12
transcript.pyannote[2938].start 14183.83971875
transcript.pyannote[2938].end 14186.37096875
transcript.pyannote[2939].speaker SPEAKER_12
transcript.pyannote[2939].start 14186.89409375
transcript.pyannote[2939].end 14189.03721875
transcript.pyannote[2940].speaker SPEAKER_12
transcript.pyannote[2940].start 14189.27346875
transcript.pyannote[2940].end 14194.03221875
transcript.pyannote[2941].speaker SPEAKER_12
transcript.pyannote[2941].start 14194.30221875
transcript.pyannote[2941].end 14195.78721875
transcript.pyannote[2942].speaker SPEAKER_12
transcript.pyannote[2942].start 14196.22596875
transcript.pyannote[2942].end 14197.39034375
transcript.pyannote[2943].speaker SPEAKER_12
transcript.pyannote[2943].start 14197.59284375
transcript.pyannote[2943].end 14204.66346875
transcript.pyannote[2944].speaker SPEAKER_12
transcript.pyannote[2944].start 14205.03471875
transcript.pyannote[2944].end 14208.83159375
transcript.pyannote[2945].speaker SPEAKER_12
transcript.pyannote[2945].start 14209.13534375
transcript.pyannote[2945].end 14210.75534375
transcript.pyannote[2946].speaker SPEAKER_12
transcript.pyannote[2946].start 14211.12659375
transcript.pyannote[2946].end 14215.26096875
transcript.pyannote[2947].speaker SPEAKER_12
transcript.pyannote[2947].start 14215.53096875
transcript.pyannote[2947].end 14218.02846875
transcript.pyannote[2948].speaker SPEAKER_12
transcript.pyannote[2948].start 14218.97346875
transcript.pyannote[2948].end 14224.28909375
transcript.pyannote[2949].speaker SPEAKER_12
transcript.pyannote[2949].start 14224.67721875
transcript.pyannote[2949].end 14226.21284375
transcript.pyannote[2950].speaker SPEAKER_12
transcript.pyannote[2950].start 14226.61784375
transcript.pyannote[2950].end 14228.17034375
transcript.pyannote[2951].speaker SPEAKER_12
transcript.pyannote[2951].start 14228.32221875
transcript.pyannote[2951].end 14228.98034375
transcript.pyannote[2952].speaker SPEAKER_12
transcript.pyannote[2952].start 14229.11534375
transcript.pyannote[2952].end 14232.25409375
transcript.pyannote[2953].speaker SPEAKER_12
transcript.pyannote[2953].start 14232.47346875
transcript.pyannote[2953].end 14237.75534375
transcript.pyannote[2954].speaker SPEAKER_12
transcript.pyannote[2954].start 14237.78909375
transcript.pyannote[2954].end 14242.59846875
transcript.pyannote[2955].speaker SPEAKER_12
transcript.pyannote[2955].start 14242.75034375
transcript.pyannote[2955].end 14244.30284375
transcript.pyannote[2956].speaker SPEAKER_12
transcript.pyannote[2956].start 14244.55596875
transcript.pyannote[2956].end 14247.28971875
transcript.pyannote[2957].speaker SPEAKER_12
transcript.pyannote[2957].start 14247.59346875
transcript.pyannote[2957].end 14248.40346875
transcript.pyannote[2958].speaker SPEAKER_12
transcript.pyannote[2958].start 14248.70721875
transcript.pyannote[2958].end 14254.20846875
transcript.pyannote[2959].speaker SPEAKER_12
transcript.pyannote[2959].start 14254.41096875
transcript.pyannote[2959].end 14256.03096875
transcript.pyannote[2960].speaker SPEAKER_12
transcript.pyannote[2960].start 14256.11534375
transcript.pyannote[2960].end 14262.37596875
transcript.pyannote[2961].speaker SPEAKER_12
transcript.pyannote[2961].start 14262.71346875
transcript.pyannote[2961].end 14265.58221875
transcript.pyannote[2962].speaker SPEAKER_12
transcript.pyannote[2962].start 14265.81846875
transcript.pyannote[2962].end 14267.25284375
transcript.pyannote[2963].speaker SPEAKER_12
transcript.pyannote[2963].start 14267.62409375
transcript.pyannote[2963].end 14274.64409375
transcript.pyannote[2964].speaker SPEAKER_12
transcript.pyannote[2964].start 14274.81284375
transcript.pyannote[2964].end 14277.68159375
transcript.pyannote[2965].speaker SPEAKER_12
transcript.pyannote[2965].start 14278.05284375
transcript.pyannote[2965].end 14281.69784375
transcript.pyannote[2966].speaker SPEAKER_12
transcript.pyannote[2966].start 14281.79909375
transcript.pyannote[2966].end 14283.99284375
transcript.pyannote[2967].speaker SPEAKER_12
transcript.pyannote[2967].start 14284.53284375
transcript.pyannote[2967].end 14297.57721875
transcript.pyannote[2968].speaker SPEAKER_12
transcript.pyannote[2968].start 14297.88096875
transcript.pyannote[2968].end 14301.39096875
transcript.pyannote[2969].speaker SPEAKER_12
transcript.pyannote[2969].start 14301.72846875
transcript.pyannote[2969].end 14307.92159375
transcript.pyannote[2970].speaker SPEAKER_12
transcript.pyannote[2970].start 14308.14096875
transcript.pyannote[2970].end 14311.60034375
transcript.pyannote[2971].speaker SPEAKER_12
transcript.pyannote[2971].start 14312.07284375
transcript.pyannote[2971].end 14316.27471875
transcript.pyannote[2972].speaker SPEAKER_12
transcript.pyannote[2972].start 14316.81471875
transcript.pyannote[2972].end 14320.12221875
transcript.pyannote[2973].speaker SPEAKER_12
transcript.pyannote[2973].start 14320.52721875
transcript.pyannote[2973].end 14323.37909375
transcript.pyannote[2974].speaker SPEAKER_12
transcript.pyannote[2974].start 14324.45909375
transcript.pyannote[2974].end 14325.64034375
transcript.pyannote[2975].speaker SPEAKER_12
transcript.pyannote[2975].start 14326.04534375
transcript.pyannote[2975].end 14329.25159375
transcript.pyannote[2976].speaker SPEAKER_12
transcript.pyannote[2976].start 14329.45409375
transcript.pyannote[2976].end 14332.15409375
transcript.pyannote[2977].speaker SPEAKER_12
transcript.pyannote[2977].start 14332.47471875
transcript.pyannote[2977].end 14337.65534375
transcript.pyannote[2978].speaker SPEAKER_12
transcript.pyannote[2978].start 14337.89159375
transcript.pyannote[2978].end 14342.00909375
transcript.pyannote[2979].speaker SPEAKER_12
transcript.pyannote[2979].start 14342.56596875
transcript.pyannote[2979].end 14344.99596875
transcript.pyannote[2980].speaker SPEAKER_12
transcript.pyannote[2980].start 14345.23221875
transcript.pyannote[2980].end 14349.21471875
transcript.pyannote[2981].speaker SPEAKER_12
transcript.pyannote[2981].start 14349.48471875
transcript.pyannote[2981].end 14357.34846875
transcript.pyannote[2982].speaker SPEAKER_12
transcript.pyannote[2982].start 14357.92221875
transcript.pyannote[2982].end 14361.61784375
transcript.pyannote[2983].speaker SPEAKER_12
transcript.pyannote[2983].start 14361.93846875
transcript.pyannote[2983].end 14368.68846875
transcript.pyannote[2984].speaker SPEAKER_12
transcript.pyannote[2984].start 14368.95846875
transcript.pyannote[2984].end 14371.70909375
transcript.pyannote[2985].speaker SPEAKER_12
transcript.pyannote[2985].start 14372.02971875
transcript.pyannote[2985].end 14374.96596875
transcript.pyannote[2986].speaker SPEAKER_12
transcript.pyannote[2986].start 14375.06721875
transcript.pyannote[2986].end 14379.97784375
transcript.pyannote[2987].speaker SPEAKER_27
transcript.pyannote[2987].start 14379.97784375
transcript.pyannote[2987].end 14380.02846875
transcript.pyannote[2988].speaker SPEAKER_12
transcript.pyannote[2988].start 14380.02846875
transcript.pyannote[2988].end 14380.07909375
transcript.pyannote[2989].speaker SPEAKER_27
transcript.pyannote[2989].start 14380.07909375
transcript.pyannote[2989].end 14380.12971875
transcript.pyannote[2990].speaker SPEAKER_12
transcript.pyannote[2990].start 14380.66971875
transcript.pyannote[2990].end 14388.51659375
transcript.pyannote[2991].speaker SPEAKER_12
transcript.pyannote[2991].start 14389.20846875
transcript.pyannote[2991].end 14392.80284375
transcript.pyannote[2992].speaker SPEAKER_12
transcript.pyannote[2992].start 14393.51159375
transcript.pyannote[2992].end 14396.09346875
transcript.pyannote[2993].speaker SPEAKER_12
transcript.pyannote[2993].start 14396.54909375
transcript.pyannote[2993].end 14414.95971875
transcript.pyannote[2994].speaker SPEAKER_12
transcript.pyannote[2994].start 14415.16221875
transcript.pyannote[2994].end 14421.55784375
transcript.pyannote[2995].speaker SPEAKER_12
transcript.pyannote[2995].start 14422.03034375
transcript.pyannote[2995].end 14426.75534375
transcript.pyannote[2996].speaker SPEAKER_12
transcript.pyannote[2996].start 14427.02534375
transcript.pyannote[2996].end 14429.53971875
transcript.pyannote[2997].speaker SPEAKER_12
transcript.pyannote[2997].start 14429.67471875
transcript.pyannote[2997].end 14432.52659375
transcript.pyannote[2998].speaker SPEAKER_12
transcript.pyannote[2998].start 14432.83034375
transcript.pyannote[2998].end 14436.05346875
transcript.pyannote[2999].speaker SPEAKER_12
transcript.pyannote[2999].start 14436.40784375
transcript.pyannote[2999].end 14441.30159375
transcript.pyannote[3000].speaker SPEAKER_12
transcript.pyannote[3000].start 14441.55471875
transcript.pyannote[3000].end 14443.07346875
transcript.pyannote[3001].speaker SPEAKER_12
transcript.pyannote[3001].start 14443.37721875
transcript.pyannote[3001].end 14448.77721875
transcript.pyannote[3002].speaker SPEAKER_12
transcript.pyannote[3002].start 14448.97971875
transcript.pyannote[3002].end 14450.05971875
transcript.pyannote[3003].speaker SPEAKER_12
transcript.pyannote[3003].start 14450.29596875
transcript.pyannote[3003].end 14452.72596875
transcript.pyannote[3004].speaker SPEAKER_12
transcript.pyannote[3004].start 14453.16471875
transcript.pyannote[3004].end 14459.10471875
transcript.pyannote[3005].speaker SPEAKER_12
transcript.pyannote[3005].start 14459.50971875
transcript.pyannote[3005].end 14462.69909375
transcript.pyannote[3006].speaker SPEAKER_12
transcript.pyannote[3006].start 14463.00284375
transcript.pyannote[3006].end 14464.85909375
transcript.pyannote[3007].speaker SPEAKER_12
transcript.pyannote[3007].start 14465.04471875
transcript.pyannote[3007].end 14466.31034375
transcript.pyannote[3008].speaker SPEAKER_12
transcript.pyannote[3008].start 14466.61409375
transcript.pyannote[3008].end 14470.83284375
transcript.pyannote[3009].speaker SPEAKER_12
transcript.pyannote[3009].start 14471.22096875
transcript.pyannote[3009].end 14473.90409375
transcript.pyannote[3010].speaker SPEAKER_12
transcript.pyannote[3010].start 14474.34284375
transcript.pyannote[3010].end 14478.78096875
transcript.pyannote[3011].speaker SPEAKER_12
transcript.pyannote[3011].start 14478.84846875
transcript.pyannote[3011].end 14479.84409375
transcript.pyannote[3012].speaker SPEAKER_12
transcript.pyannote[3012].start 14479.96221875
transcript.pyannote[3012].end 14484.88971875
transcript.pyannote[3013].speaker SPEAKER_12
transcript.pyannote[3013].start 14484.99096875
transcript.pyannote[3013].end 14503.95846875
transcript.pyannote[3014].speaker SPEAKER_12
transcript.pyannote[3014].start 14504.32971875
transcript.pyannote[3014].end 14508.63284375
transcript.pyannote[3015].speaker SPEAKER_12
transcript.pyannote[3015].start 14509.13909375
transcript.pyannote[3015].end 14511.06284375
transcript.pyannote[3016].speaker SPEAKER_12
transcript.pyannote[3016].start 14511.36659375
transcript.pyannote[3016].end 14514.94409375
transcript.pyannote[3017].speaker SPEAKER_12
transcript.pyannote[3017].start 14515.28159375
transcript.pyannote[3017].end 14517.55971875
transcript.pyannote[3018].speaker SPEAKER_12
transcript.pyannote[3018].start 14517.88034375
transcript.pyannote[3018].end 14520.14159375
transcript.pyannote[3019].speaker SPEAKER_12
transcript.pyannote[3019].start 14520.74909375
transcript.pyannote[3019].end 14524.79909375
transcript.pyannote[3020].speaker SPEAKER_12
transcript.pyannote[3020].start 14524.98471875
transcript.pyannote[3020].end 14526.68909375
transcript.pyannote[3021].speaker SPEAKER_12
transcript.pyannote[3021].start 14526.89159375
transcript.pyannote[3021].end 14529.60846875
transcript.pyannote[3022].speaker SPEAKER_12
transcript.pyannote[3022].start 14529.97971875
transcript.pyannote[3022].end 14530.35096875
transcript.pyannote[3023].speaker SPEAKER_12
transcript.pyannote[3023].start 14530.67159375
transcript.pyannote[3023].end 14532.79784375
transcript.pyannote[3024].speaker SPEAKER_12
transcript.pyannote[3024].start 14533.67534375
transcript.pyannote[3024].end 14536.51034375
transcript.pyannote[3025].speaker SPEAKER_12
transcript.pyannote[3025].start 14537.01659375
transcript.pyannote[3025].end 14541.13409375
transcript.pyannote[3026].speaker SPEAKER_12
transcript.pyannote[3026].start 14541.47159375
transcript.pyannote[3026].end 14546.09534375
transcript.pyannote[3027].speaker SPEAKER_12
transcript.pyannote[3027].start 14546.75346875
transcript.pyannote[3027].end 14547.36096875
transcript.pyannote[3028].speaker SPEAKER_12
transcript.pyannote[3028].start 14547.91784375
transcript.pyannote[3028].end 14552.01846875
transcript.pyannote[3029].speaker SPEAKER_12
transcript.pyannote[3029].start 14552.17034375
transcript.pyannote[3029].end 14555.74784375
transcript.pyannote[3030].speaker SPEAKER_12
transcript.pyannote[3030].start 14556.43971875
transcript.pyannote[3030].end 14558.31284375
transcript.pyannote[3031].speaker SPEAKER_12
transcript.pyannote[3031].start 14558.59971875
transcript.pyannote[3031].end 14562.64971875
transcript.pyannote[3032].speaker SPEAKER_12
transcript.pyannote[3032].start 14562.75096875
transcript.pyannote[3032].end 14566.21034375
transcript.pyannote[3033].speaker SPEAKER_12
transcript.pyannote[3033].start 14566.49721875
transcript.pyannote[3033].end 14574.86721875
transcript.pyannote[3034].speaker SPEAKER_12
transcript.pyannote[3034].start 14575.10346875
transcript.pyannote[3034].end 14577.22971875
transcript.pyannote[3035].speaker SPEAKER_12
transcript.pyannote[3035].start 14577.46596875
transcript.pyannote[3035].end 14581.56659375
transcript.pyannote[3036].speaker SPEAKER_12
transcript.pyannote[3036].start 14581.80284375
transcript.pyannote[3036].end 14586.69659375
transcript.pyannote[3037].speaker SPEAKER_12
transcript.pyannote[3037].start 14587.81034375
transcript.pyannote[3037].end 14589.78471875
transcript.pyannote[3038].speaker SPEAKER_12
transcript.pyannote[3038].start 14589.97034375
transcript.pyannote[3038].end 14592.99096875
transcript.pyannote[3039].speaker SPEAKER_12
transcript.pyannote[3039].start 14593.22721875
transcript.pyannote[3039].end 14595.40409375
transcript.pyannote[3040].speaker SPEAKER_12
transcript.pyannote[3040].start 14595.64034375
transcript.pyannote[3040].end 14599.47096875
transcript.pyannote[3041].speaker SPEAKER_12
transcript.pyannote[3041].start 14599.87596875
transcript.pyannote[3041].end 14601.52971875
transcript.pyannote[3042].speaker SPEAKER_12
transcript.pyannote[3042].start 14601.83346875
transcript.pyannote[3042].end 14606.47409375
transcript.pyannote[3043].speaker SPEAKER_12
transcript.pyannote[3043].start 14606.60909375
transcript.pyannote[3043].end 14614.38846875
transcript.pyannote[3044].speaker SPEAKER_12
transcript.pyannote[3044].start 14614.75971875
transcript.pyannote[3044].end 14616.02534375
transcript.pyannote[3045].speaker SPEAKER_12
transcript.pyannote[3045].start 14616.22784375
transcript.pyannote[3045].end 14618.87721875
transcript.pyannote[3046].speaker SPEAKER_12
transcript.pyannote[3046].start 14619.28221875
transcript.pyannote[3046].end 14619.90659375
transcript.pyannote[3047].speaker SPEAKER_12
transcript.pyannote[3047].start 14620.32846875
transcript.pyannote[3047].end 14621.69534375
transcript.pyannote[3048].speaker SPEAKER_12
transcript.pyannote[3048].start 14621.86409375
transcript.pyannote[3048].end 14625.94784375
transcript.pyannote[3049].speaker SPEAKER_12
transcript.pyannote[3049].start 14626.69034375
transcript.pyannote[3049].end 14627.60159375
transcript.pyannote[3050].speaker SPEAKER_12
transcript.pyannote[3050].start 14628.14159375
transcript.pyannote[3050].end 14629.28909375
transcript.pyannote[3051].speaker SPEAKER_12
transcript.pyannote[3051].start 14629.77846875
transcript.pyannote[3051].end 14632.68096875
transcript.pyannote[3052].speaker SPEAKER_12
transcript.pyannote[3052].start 14633.00159375
transcript.pyannote[3052].end 14635.85346875
transcript.pyannote[3053].speaker SPEAKER_12
transcript.pyannote[3053].start 14636.20784375
transcript.pyannote[3053].end 14642.60346875
transcript.pyannote[3054].speaker SPEAKER_12
transcript.pyannote[3054].start 14642.89034375
transcript.pyannote[3054].end 14645.01659375
transcript.pyannote[3055].speaker SPEAKER_12
transcript.pyannote[3055].start 14645.26971875
transcript.pyannote[3055].end 14645.55659375
transcript.pyannote[3056].speaker SPEAKER_12
transcript.pyannote[3056].start 14645.87721875
transcript.pyannote[3056].end 14649.80909375
transcript.pyannote[3057].speaker SPEAKER_12
transcript.pyannote[3057].start 14650.01159375
transcript.pyannote[3057].end 14655.47909375
transcript.pyannote[3058].speaker SPEAKER_12
transcript.pyannote[3058].start 14655.83346875
transcript.pyannote[3058].end 14656.96409375
transcript.pyannote[3059].speaker SPEAKER_12
transcript.pyannote[3059].start 14657.31846875
transcript.pyannote[3059].end 14658.78659375
transcript.pyannote[3060].speaker SPEAKER_12
transcript.pyannote[3060].start 14659.15784375
transcript.pyannote[3060].end 14660.28846875
transcript.pyannote[3061].speaker SPEAKER_12
transcript.pyannote[3061].start 14660.54159375
transcript.pyannote[3061].end 14662.80284375
transcript.pyannote[3062].speaker SPEAKER_12
transcript.pyannote[3062].start 14663.00534375
transcript.pyannote[3062].end 14668.65846875
transcript.pyannote[3063].speaker SPEAKER_12
transcript.pyannote[3063].start 14668.96221875
transcript.pyannote[3063].end 14671.32471875
transcript.pyannote[3064].speaker SPEAKER_12
transcript.pyannote[3064].start 14671.51034375
transcript.pyannote[3064].end 14674.14284375
transcript.pyannote[3065].speaker SPEAKER_12
transcript.pyannote[3065].start 14674.42971875
transcript.pyannote[3065].end 14675.62784375
transcript.pyannote[3066].speaker SPEAKER_12
transcript.pyannote[3066].start 14676.08346875
transcript.pyannote[3066].end 14680.23471875
transcript.pyannote[3067].speaker SPEAKER_12
transcript.pyannote[3067].start 14680.47096875
transcript.pyannote[3067].end 14683.84596875
transcript.pyannote[3068].speaker SPEAKER_12
transcript.pyannote[3068].start 14684.20034375
transcript.pyannote[3068].end 14684.58846875
transcript.pyannote[3069].speaker SPEAKER_12
transcript.pyannote[3069].start 14684.85846875
transcript.pyannote[3069].end 14687.86221875
transcript.pyannote[3070].speaker SPEAKER_12
transcript.pyannote[3070].start 14688.19971875
transcript.pyannote[3070].end 14694.05534375
transcript.pyannote[3071].speaker SPEAKER_12
transcript.pyannote[3071].start 14694.30846875
transcript.pyannote[3071].end 14695.84409375
transcript.pyannote[3072].speaker SPEAKER_12
transcript.pyannote[3072].start 14696.28284375
transcript.pyannote[3072].end 14698.47659375
transcript.pyannote[3073].speaker SPEAKER_12
transcript.pyannote[3073].start 14698.71284375
transcript.pyannote[3073].end 14701.19346875
transcript.pyannote[3074].speaker SPEAKER_12
transcript.pyannote[3074].start 14702.30721875
transcript.pyannote[3074].end 14706.54284375
transcript.pyannote[3075].speaker SPEAKER_12
transcript.pyannote[3075].start 14706.86346875
transcript.pyannote[3075].end 14708.75346875
transcript.pyannote[3076].speaker SPEAKER_12
transcript.pyannote[3076].start 14709.12471875
transcript.pyannote[3076].end 14711.35221875
transcript.pyannote[3077].speaker SPEAKER_12
transcript.pyannote[3077].start 14711.55471875
transcript.pyannote[3077].end 14714.03534375
transcript.pyannote[3078].speaker SPEAKER_12
transcript.pyannote[3078].start 14714.27159375
transcript.pyannote[3078].end 14716.09409375
transcript.pyannote[3079].speaker SPEAKER_12
transcript.pyannote[3079].start 14716.31346875
transcript.pyannote[3079].end 14720.34659375
transcript.pyannote[3080].speaker SPEAKER_12
transcript.pyannote[3080].start 14720.54909375
transcript.pyannote[3080].end 14726.47221875
transcript.pyannote[3081].speaker SPEAKER_12
transcript.pyannote[3081].start 14726.80971875
transcript.pyannote[3081].end 14729.91471875
transcript.pyannote[3082].speaker SPEAKER_12
transcript.pyannote[3082].start 14730.31971875
transcript.pyannote[3082].end 14734.11659375
transcript.pyannote[3083].speaker SPEAKER_12
transcript.pyannote[3083].start 14734.45409375
transcript.pyannote[3083].end 14737.33971875
transcript.pyannote[3084].speaker SPEAKER_12
transcript.pyannote[3084].start 14737.57596875
transcript.pyannote[3084].end 14738.47034375
transcript.pyannote[3085].speaker SPEAKER_12
transcript.pyannote[3085].start 14738.70659375
transcript.pyannote[3085].end 14740.56284375
transcript.pyannote[3086].speaker SPEAKER_12
transcript.pyannote[3086].start 14740.84971875
transcript.pyannote[3086].end 14744.56221875
transcript.pyannote[3087].speaker SPEAKER_12
transcript.pyannote[3087].start 14744.91659375
transcript.pyannote[3087].end 14747.48159375
transcript.pyannote[3088].speaker SPEAKER_12
transcript.pyannote[3088].start 14747.83596875
transcript.pyannote[3088].end 14751.22784375
transcript.pyannote[3089].speaker SPEAKER_12
transcript.pyannote[3089].start 14751.56534375
transcript.pyannote[3089].end 14754.26534375
transcript.pyannote[3090].speaker SPEAKER_12
transcript.pyannote[3090].start 14754.73784375
transcript.pyannote[3090].end 14759.07471875
transcript.pyannote[3091].speaker SPEAKER_12
transcript.pyannote[3091].start 14759.53034375
transcript.pyannote[3091].end 14761.94346875
transcript.pyannote[3092].speaker SPEAKER_12
transcript.pyannote[3092].start 14762.34846875
transcript.pyannote[3092].end 14765.13284375
transcript.pyannote[3093].speaker SPEAKER_12
transcript.pyannote[3093].start 14765.41971875
transcript.pyannote[3093].end 14769.79034375
transcript.pyannote[3094].speaker SPEAKER_12
transcript.pyannote[3094].start 14770.11096875
transcript.pyannote[3094].end 14773.62096875
transcript.pyannote[3095].speaker SPEAKER_12
transcript.pyannote[3095].start 14773.94159375
transcript.pyannote[3095].end 14776.23659375
transcript.pyannote[3096].speaker SPEAKER_12
transcript.pyannote[3096].start 14776.57409375
transcript.pyannote[3096].end 14777.70471875
transcript.pyannote[3097].speaker SPEAKER_12
transcript.pyannote[3097].start 14778.12659375
transcript.pyannote[3097].end 14781.77159375
transcript.pyannote[3098].speaker SPEAKER_12
transcript.pyannote[3098].start 14782.05846875
transcript.pyannote[3098].end 14786.32784375
transcript.pyannote[3099].speaker SPEAKER_12
transcript.pyannote[3099].start 14786.73284375
transcript.pyannote[3099].end 14787.91409375
transcript.pyannote[3100].speaker SPEAKER_12
transcript.pyannote[3100].start 14788.23471875
transcript.pyannote[3100].end 14793.82034375
transcript.pyannote[3101].speaker SPEAKER_12
transcript.pyannote[3101].start 14794.05659375
transcript.pyannote[3101].end 14796.35159375
transcript.pyannote[3102].speaker SPEAKER_12
transcript.pyannote[3102].start 14796.65534375
transcript.pyannote[3102].end 14799.89534375
transcript.pyannote[3103].speaker SPEAKER_12
transcript.pyannote[3103].start 14799.91221875
transcript.pyannote[3103].end 14802.22409375
transcript.pyannote[3104].speaker SPEAKER_12
transcript.pyannote[3104].start 14802.54471875
transcript.pyannote[3104].end 14803.32096875
transcript.pyannote[3105].speaker SPEAKER_12
transcript.pyannote[3105].start 14803.72596875
transcript.pyannote[3105].end 14808.85596875
transcript.pyannote[3106].speaker SPEAKER_12
transcript.pyannote[3106].start 14809.42971875
transcript.pyannote[3106].end 14814.35721875
transcript.pyannote[3107].speaker SPEAKER_12
transcript.pyannote[3107].start 14814.72846875
transcript.pyannote[3107].end 14818.00221875
transcript.pyannote[3108].speaker SPEAKER_12
transcript.pyannote[3108].start 14818.52534375
transcript.pyannote[3108].end 14822.69346875
transcript.pyannote[3109].speaker SPEAKER_12
transcript.pyannote[3109].start 14823.21659375
transcript.pyannote[3109].end 14824.75221875
transcript.pyannote[3110].speaker SPEAKER_12
transcript.pyannote[3110].start 14825.19096875
transcript.pyannote[3110].end 14831.63721875
transcript.pyannote[3111].speaker SPEAKER_12
transcript.pyannote[3111].start 14832.14346875
transcript.pyannote[3111].end 14837.96534375
transcript.pyannote[3112].speaker SPEAKER_12
transcript.pyannote[3112].start 14838.38721875
transcript.pyannote[3112].end 14841.42471875
transcript.pyannote[3113].speaker SPEAKER_12
transcript.pyannote[3113].start 14842.13346875
transcript.pyannote[3113].end 14843.21346875
transcript.pyannote[3114].speaker SPEAKER_12
transcript.pyannote[3114].start 14843.48346875
transcript.pyannote[3114].end 14846.23409375
transcript.pyannote[3115].speaker SPEAKER_12
transcript.pyannote[3115].start 14846.43659375
transcript.pyannote[3115].end 14850.06471875
transcript.pyannote[3116].speaker SPEAKER_12
transcript.pyannote[3116].start 14850.41909375
transcript.pyannote[3116].end 14853.79409375
transcript.pyannote[3117].speaker SPEAKER_12
transcript.pyannote[3117].start 14854.03034375
transcript.pyannote[3117].end 14856.03846875
transcript.pyannote[3118].speaker SPEAKER_12
transcript.pyannote[3118].start 14856.46034375
transcript.pyannote[3118].end 14857.67534375
transcript.pyannote[3119].speaker SPEAKER_12
transcript.pyannote[3119].start 14858.80596875
transcript.pyannote[3119].end 14863.80096875
transcript.pyannote[3120].speaker SPEAKER_12
transcript.pyannote[3120].start 14864.18909375
transcript.pyannote[3120].end 14866.92284375
transcript.pyannote[3121].speaker SPEAKER_12
transcript.pyannote[3121].start 14867.31096875
transcript.pyannote[3121].end 14871.96846875
transcript.pyannote[3122].speaker SPEAKER_12
transcript.pyannote[3122].start 14872.17096875
transcript.pyannote[3122].end 14873.26784375
transcript.pyannote[3123].speaker SPEAKER_12
transcript.pyannote[3123].start 14873.45346875
transcript.pyannote[3123].end 14875.81596875
transcript.pyannote[3124].speaker SPEAKER_12
transcript.pyannote[3124].start 14876.32221875
transcript.pyannote[3124].end 14879.95034375
transcript.pyannote[3125].speaker SPEAKER_12
transcript.pyannote[3125].start 14880.28784375
transcript.pyannote[3125].end 14883.88221875
transcript.pyannote[3126].speaker SPEAKER_12
transcript.pyannote[3126].start 14884.42221875
transcript.pyannote[3126].end 14888.53971875
transcript.pyannote[3127].speaker SPEAKER_12
transcript.pyannote[3127].start 14888.82659375
transcript.pyannote[3127].end 14892.47159375
transcript.pyannote[3128].speaker SPEAKER_12
transcript.pyannote[3128].start 14892.85971875
transcript.pyannote[3128].end 14894.54721875
transcript.pyannote[3129].speaker SPEAKER_12
transcript.pyannote[3129].start 14894.59784375
transcript.pyannote[3129].end 14900.30159375
transcript.pyannote[3130].speaker SPEAKER_12
transcript.pyannote[3130].start 14901.02721875
transcript.pyannote[3130].end 14904.45284375
transcript.pyannote[3131].speaker SPEAKER_12
transcript.pyannote[3131].start 14904.67221875
transcript.pyannote[3131].end 14907.22034375
transcript.pyannote[3132].speaker SPEAKER_12
transcript.pyannote[3132].start 14907.67596875
transcript.pyannote[3132].end 14910.10596875
transcript.pyannote[3133].speaker SPEAKER_12
transcript.pyannote[3133].start 14910.32534375
transcript.pyannote[3133].end 14911.27034375
transcript.pyannote[3134].speaker SPEAKER_12
transcript.pyannote[3134].start 14911.64159375
transcript.pyannote[3134].end 14914.88159375
transcript.pyannote[3135].speaker SPEAKER_12
transcript.pyannote[3135].start 14915.15159375
transcript.pyannote[3135].end 14916.92346875
transcript.pyannote[3136].speaker SPEAKER_12
transcript.pyannote[3136].start 14917.22721875
transcript.pyannote[3136].end 14920.21409375
transcript.pyannote[3137].speaker SPEAKER_12
transcript.pyannote[3137].start 14920.72034375
transcript.pyannote[3137].end 14923.87596875
transcript.pyannote[3138].speaker SPEAKER_12
transcript.pyannote[3138].start 14924.34846875
transcript.pyannote[3138].end 14925.39471875
transcript.pyannote[3139].speaker SPEAKER_12
transcript.pyannote[3139].start 14925.66471875
transcript.pyannote[3139].end 14929.98471875
transcript.pyannote[3140].speaker SPEAKER_12
transcript.pyannote[3140].start 14930.22096875
transcript.pyannote[3140].end 14933.59596875
transcript.pyannote[3141].speaker SPEAKER_12
transcript.pyannote[3141].start 14934.03471875
transcript.pyannote[3141].end 14935.46909375
transcript.pyannote[3142].speaker SPEAKER_12
transcript.pyannote[3142].start 14935.84034375
transcript.pyannote[3142].end 14939.92409375
transcript.pyannote[3143].speaker SPEAKER_12
transcript.pyannote[3143].start 14940.32909375
transcript.pyannote[3143].end 14942.82659375
transcript.pyannote[3144].speaker SPEAKER_12
transcript.pyannote[3144].start 14943.29909375
transcript.pyannote[3144].end 14948.24346875
transcript.pyannote[3145].speaker SPEAKER_12
transcript.pyannote[3145].start 14948.58096875
transcript.pyannote[3145].end 14952.47909375
transcript.pyannote[3146].speaker SPEAKER_12
transcript.pyannote[3146].start 14952.91784375
transcript.pyannote[3146].end 14955.70221875
transcript.pyannote[3147].speaker SPEAKER_12
transcript.pyannote[3147].start 14955.97221875
transcript.pyannote[3147].end 14957.94659375
transcript.pyannote[3148].speaker SPEAKER_12
transcript.pyannote[3148].start 14958.28409375
transcript.pyannote[3148].end 14960.24159375
transcript.pyannote[3149].speaker SPEAKER_12
transcript.pyannote[3149].start 14960.61284375
transcript.pyannote[3149].end 14961.67596875
transcript.pyannote[3150].speaker SPEAKER_12
transcript.pyannote[3150].start 14961.81096875
transcript.pyannote[3150].end 14965.43909375
transcript.pyannote[3151].speaker SPEAKER_12
transcript.pyannote[3151].start 14965.79346875
transcript.pyannote[3151].end 14968.32471875
transcript.pyannote[3152].speaker SPEAKER_12
transcript.pyannote[3152].start 14968.91534375
transcript.pyannote[3152].end 14972.93159375
transcript.pyannote[3153].speaker SPEAKER_12
transcript.pyannote[3153].start 14973.25221875
transcript.pyannote[3153].end 14975.32784375
transcript.pyannote[3154].speaker SPEAKER_12
transcript.pyannote[3154].start 14975.85096875
transcript.pyannote[3154].end 14977.77471875
transcript.pyannote[3155].speaker SPEAKER_12
transcript.pyannote[3155].start 14978.09534375
transcript.pyannote[3155].end 14983.07346875
transcript.pyannote[3156].speaker SPEAKER_12
transcript.pyannote[3156].start 14983.54596875
transcript.pyannote[3156].end 14992.16909375
transcript.pyannote[3157].speaker SPEAKER_12
transcript.pyannote[3157].start 14992.54034375
transcript.pyannote[3157].end 14992.86096875
transcript.pyannote[3158].speaker SPEAKER_12
transcript.pyannote[3158].start 14993.29971875
transcript.pyannote[3158].end 14994.78471875
transcript.pyannote[3159].speaker SPEAKER_12
transcript.pyannote[3159].start 14995.32471875
transcript.pyannote[3159].end 14999.89784375
transcript.pyannote[3160].speaker SPEAKER_12
transcript.pyannote[3160].start 15000.26909375
transcript.pyannote[3160].end 15004.33596875
transcript.pyannote[3161].speaker SPEAKER_12
transcript.pyannote[3161].start 15006.44534375
transcript.pyannote[3161].end 15008.43659375
transcript.pyannote[3162].speaker SPEAKER_12
transcript.pyannote[3162].start 15009.02721875
transcript.pyannote[3162].end 15013.53284375
transcript.pyannote[3163].speaker SPEAKER_12
transcript.pyannote[3163].start 15013.65096875
transcript.pyannote[3163].end 15032.51721875
transcript.pyannote[3164].speaker SPEAKER_12
transcript.pyannote[3164].start 15032.95596875
transcript.pyannote[3164].end 15034.42409375
transcript.pyannote[3165].speaker SPEAKER_12
transcript.pyannote[3165].start 15034.77846875
transcript.pyannote[3165].end 15036.90471875
transcript.pyannote[3166].speaker SPEAKER_12
transcript.pyannote[3166].start 15037.24221875
transcript.pyannote[3166].end 15039.43596875
transcript.pyannote[3167].speaker SPEAKER_12
transcript.pyannote[3167].start 15040.34721875
transcript.pyannote[3167].end 15042.33846875
transcript.pyannote[3168].speaker SPEAKER_12
transcript.pyannote[3168].start 15042.65909375
transcript.pyannote[3168].end 15047.51909375
transcript.pyannote[3169].speaker SPEAKER_12
transcript.pyannote[3169].start 15047.87346875
transcript.pyannote[3169].end 15050.72534375
transcript.pyannote[3170].speaker SPEAKER_12
transcript.pyannote[3170].start 15050.96159375
transcript.pyannote[3170].end 15055.06221875
transcript.pyannote[3171].speaker SPEAKER_12
transcript.pyannote[3171].start 15055.33221875
transcript.pyannote[3171].end 15056.56409375
transcript.pyannote[3172].speaker SPEAKER_12
transcript.pyannote[3172].start 15056.63159375
transcript.pyannote[3172].end 15059.93909375
transcript.pyannote[3173].speaker SPEAKER_12
transcript.pyannote[3173].start 15060.15846875
transcript.pyannote[3173].end 15061.25534375
transcript.pyannote[3174].speaker SPEAKER_12
transcript.pyannote[3174].start 15061.77846875
transcript.pyannote[3174].end 15064.96784375
transcript.pyannote[3175].speaker SPEAKER_12
transcript.pyannote[3175].start 15065.27159375
transcript.pyannote[3175].end 15071.90346875
transcript.pyannote[3176].speaker SPEAKER_12
transcript.pyannote[3176].start 15072.34221875
transcript.pyannote[3176].end 15074.70471875
transcript.pyannote[3177].speaker SPEAKER_12
transcript.pyannote[3177].start 15075.12659375
transcript.pyannote[3177].end 15077.35409375
transcript.pyannote[3178].speaker SPEAKER_12
transcript.pyannote[3178].start 15077.69159375
transcript.pyannote[3178].end 15080.27346875
transcript.pyannote[3179].speaker SPEAKER_12
transcript.pyannote[3179].start 15080.66159375
transcript.pyannote[3179].end 15083.74971875
transcript.pyannote[3180].speaker SPEAKER_12
transcript.pyannote[3180].start 15084.54284375
transcript.pyannote[3180].end 15086.33159375
transcript.pyannote[3181].speaker SPEAKER_12
transcript.pyannote[3181].start 15086.63534375
transcript.pyannote[3181].end 15088.60971875
transcript.pyannote[3182].speaker SPEAKER_12
transcript.pyannote[3182].start 15089.14971875
transcript.pyannote[3182].end 15093.25034375
transcript.pyannote[3183].speaker SPEAKER_12
transcript.pyannote[3183].start 15093.52034375
transcript.pyannote[3183].end 15098.61659375
transcript.pyannote[3184].speaker SPEAKER_12
transcript.pyannote[3184].start 15098.66721875
transcript.pyannote[3184].end 15099.73034375
transcript.pyannote[3185].speaker SPEAKER_12
transcript.pyannote[3185].start 15100.28721875
transcript.pyannote[3185].end 15102.27846875
transcript.pyannote[3186].speaker SPEAKER_12
transcript.pyannote[3186].start 15102.58221875
transcript.pyannote[3186].end 15103.91534375
transcript.pyannote[3187].speaker SPEAKER_12
transcript.pyannote[3187].start 15104.23596875
transcript.pyannote[3187].end 15108.58971875
transcript.pyannote[3188].speaker SPEAKER_12
transcript.pyannote[3188].start 15108.92721875
transcript.pyannote[3188].end 15112.08284375
transcript.pyannote[3189].speaker SPEAKER_12
transcript.pyannote[3189].start 15112.50471875
transcript.pyannote[3189].end 15114.88409375
transcript.pyannote[3190].speaker SPEAKER_12
transcript.pyannote[3190].start 15115.23846875
transcript.pyannote[3190].end 15118.24221875
transcript.pyannote[3191].speaker SPEAKER_12
transcript.pyannote[3191].start 15118.57971875
transcript.pyannote[3191].end 15120.77346875
transcript.pyannote[3192].speaker SPEAKER_12
transcript.pyannote[3192].start 15121.09409375
transcript.pyannote[3192].end 15122.39346875
transcript.pyannote[3193].speaker SPEAKER_12
transcript.pyannote[3193].start 15122.59596875
transcript.pyannote[3193].end 15124.70534375
transcript.pyannote[3194].speaker SPEAKER_12
transcript.pyannote[3194].start 15125.04284375
transcript.pyannote[3194].end 15128.04659375
transcript.pyannote[3195].speaker SPEAKER_12
transcript.pyannote[3195].start 15128.41784375
transcript.pyannote[3195].end 15130.10534375
transcript.pyannote[3196].speaker SPEAKER_12
transcript.pyannote[3196].start 15130.40909375
transcript.pyannote[3196].end 15132.29909375
transcript.pyannote[3197].speaker SPEAKER_12
transcript.pyannote[3197].start 15132.85596875
transcript.pyannote[3197].end 15136.39971875
transcript.pyannote[3198].speaker SPEAKER_12
transcript.pyannote[3198].start 15136.61909375
transcript.pyannote[3198].end 15139.47096875
transcript.pyannote[3199].speaker SPEAKER_12
transcript.pyannote[3199].start 15139.65659375
transcript.pyannote[3199].end 15145.79909375
transcript.pyannote[3200].speaker SPEAKER_12
transcript.pyannote[3200].start 15146.03534375
transcript.pyannote[3200].end 15147.95909375
transcript.pyannote[3201].speaker SPEAKER_12
transcript.pyannote[3201].start 15149.03909375
transcript.pyannote[3201].end 15155.60346875
transcript.pyannote[3202].speaker SPEAKER_12
transcript.pyannote[3202].start 15156.39659375
transcript.pyannote[3202].end 15164.51346875
transcript.pyannote[3203].speaker SPEAKER_12
transcript.pyannote[3203].start 15164.91846875
transcript.pyannote[3203].end 15169.01909375
transcript.pyannote[3204].speaker SPEAKER_12
transcript.pyannote[3204].start 15169.35659375
transcript.pyannote[3204].end 15171.44909375
transcript.pyannote[3205].speaker SPEAKER_12
transcript.pyannote[3205].start 15171.80346875
transcript.pyannote[3205].end 15173.17034375
transcript.pyannote[3206].speaker SPEAKER_12
transcript.pyannote[3206].start 15173.42346875
transcript.pyannote[3206].end 15174.97596875
transcript.pyannote[3207].speaker SPEAKER_12
transcript.pyannote[3207].start 15175.26284375
transcript.pyannote[3207].end 15177.42284375
transcript.pyannote[3208].speaker SPEAKER_12
transcript.pyannote[3208].start 15177.70971875
transcript.pyannote[3208].end 15182.50221875
transcript.pyannote[3209].speaker SPEAKER_12
transcript.pyannote[3209].start 15182.92409375
transcript.pyannote[3209].end 15184.32471875
transcript.pyannote[3210].speaker SPEAKER_12
transcript.pyannote[3210].start 15184.49346875
transcript.pyannote[3210].end 15187.96971875
transcript.pyannote[3211].speaker SPEAKER_12
transcript.pyannote[3211].start 15188.34096875
transcript.pyannote[3211].end 15189.42096875
transcript.pyannote[3212].speaker SPEAKER_12
transcript.pyannote[3212].start 15189.79221875
transcript.pyannote[3212].end 15190.87221875
transcript.pyannote[3213].speaker SPEAKER_12
transcript.pyannote[3213].start 15191.17596875
transcript.pyannote[3213].end 15193.63971875
transcript.pyannote[3214].speaker SPEAKER_12
transcript.pyannote[3214].start 15194.01096875
transcript.pyannote[3214].end 15200.13659375
transcript.pyannote[3215].speaker SPEAKER_12
transcript.pyannote[3215].start 15200.52471875
transcript.pyannote[3215].end 15205.92471875
transcript.pyannote[3216].speaker SPEAKER_12
transcript.pyannote[3216].start 15206.32971875
transcript.pyannote[3216].end 15208.35471875
transcript.pyannote[3217].speaker SPEAKER_12
transcript.pyannote[3217].start 15208.69221875
transcript.pyannote[3217].end 15211.51034375
transcript.pyannote[3218].speaker SPEAKER_12
transcript.pyannote[3218].start 15211.72971875
transcript.pyannote[3218].end 15216.08346875
transcript.pyannote[3219].speaker SPEAKER_12
transcript.pyannote[3219].start 15216.60659375
transcript.pyannote[3219].end 15217.78784375
transcript.pyannote[3220].speaker SPEAKER_12
transcript.pyannote[3220].start 15218.10846875
transcript.pyannote[3220].end 15220.04909375
transcript.pyannote[3221].speaker SPEAKER_12
transcript.pyannote[3221].start 15220.36971875
transcript.pyannote[3221].end 15223.15409375
transcript.pyannote[3222].speaker SPEAKER_12
transcript.pyannote[3222].start 15223.52534375
transcript.pyannote[3222].end 15229.34721875
transcript.pyannote[3223].speaker SPEAKER_12
transcript.pyannote[3223].start 15229.76909375
transcript.pyannote[3223].end 15234.00471875
transcript.pyannote[3224].speaker SPEAKER_12
transcript.pyannote[3224].start 15235.20284375
transcript.pyannote[3224].end 15240.97409375
transcript.pyannote[3225].speaker SPEAKER_12
transcript.pyannote[3225].start 15241.27784375
transcript.pyannote[3225].end 15245.10846875
transcript.pyannote[3226].speaker SPEAKER_12
transcript.pyannote[3226].start 15245.46284375
transcript.pyannote[3226].end 15247.55534375
transcript.pyannote[3227].speaker SPEAKER_12
transcript.pyannote[3227].start 15247.80846875
transcript.pyannote[3227].end 15249.85034375
transcript.pyannote[3228].speaker SPEAKER_12
transcript.pyannote[3228].start 15250.05284375
transcript.pyannote[3228].end 15255.36846875
transcript.pyannote[3229].speaker SPEAKER_12
transcript.pyannote[3229].start 15255.63846875
transcript.pyannote[3229].end 15257.89971875
transcript.pyannote[3230].speaker SPEAKER_12
transcript.pyannote[3230].start 15258.11909375
transcript.pyannote[3230].end 15260.51534375
transcript.pyannote[3231].speaker SPEAKER_12
transcript.pyannote[3231].start 15260.92034375
transcript.pyannote[3231].end 15263.95784375
transcript.pyannote[3232].speaker SPEAKER_12
transcript.pyannote[3232].start 15264.39659375
transcript.pyannote[3232].end 15269.08784375
transcript.pyannote[3233].speaker SPEAKER_12
transcript.pyannote[3233].start 15269.44221875
transcript.pyannote[3233].end 15275.09534375
transcript.pyannote[3234].speaker SPEAKER_12
transcript.pyannote[3234].start 15275.55096875
transcript.pyannote[3234].end 15277.17096875
transcript.pyannote[3235].speaker SPEAKER_12
transcript.pyannote[3235].start 15278.18346875
transcript.pyannote[3235].end 15282.95909375
transcript.pyannote[3236].speaker SPEAKER_12
transcript.pyannote[3236].start 15283.71846875
transcript.pyannote[3236].end 15287.90346875
transcript.pyannote[3237].speaker SPEAKER_12
transcript.pyannote[3237].start 15288.22409375
transcript.pyannote[3237].end 15294.06284375
transcript.pyannote[3238].speaker SPEAKER_12
transcript.pyannote[3238].start 15294.58596875
transcript.pyannote[3238].end 15298.36596875
transcript.pyannote[3239].speaker SPEAKER_12
transcript.pyannote[3239].start 15298.73721875
transcript.pyannote[3239].end 15300.64409375
transcript.pyannote[3240].speaker SPEAKER_12
transcript.pyannote[3240].start 15300.96471875
transcript.pyannote[3240].end 15305.33534375
transcript.pyannote[3241].speaker SPEAKER_12
transcript.pyannote[3241].start 15305.67284375
transcript.pyannote[3241].end 15307.84971875
transcript.pyannote[3242].speaker SPEAKER_12
transcript.pyannote[3242].start 15308.11971875
transcript.pyannote[3242].end 15310.29659375
transcript.pyannote[3243].speaker SPEAKER_12
transcript.pyannote[3243].start 15310.61721875
transcript.pyannote[3243].end 15313.01346875
transcript.pyannote[3244].speaker SPEAKER_12
transcript.pyannote[3244].start 15313.38471875
transcript.pyannote[3244].end 15317.43471875
transcript.pyannote[3245].speaker SPEAKER_12
transcript.pyannote[3245].start 15317.85659375
transcript.pyannote[3245].end 15320.21909375
transcript.pyannote[3246].speaker SPEAKER_12
transcript.pyannote[3246].start 15320.47221875
transcript.pyannote[3246].end 15322.44659375
transcript.pyannote[3247].speaker SPEAKER_12
transcript.pyannote[3247].start 15323.07096875
transcript.pyannote[3247].end 15327.18846875
transcript.pyannote[3248].speaker SPEAKER_12
transcript.pyannote[3248].start 15327.49221875
transcript.pyannote[3248].end 15329.41596875
transcript.pyannote[3249].speaker SPEAKER_12
transcript.pyannote[3249].start 15329.85471875
transcript.pyannote[3249].end 15330.74909375
transcript.pyannote[3250].speaker SPEAKER_12
transcript.pyannote[3250].start 15331.18784375
transcript.pyannote[3250].end 15338.69721875
transcript.pyannote[3251].speaker SPEAKER_12
transcript.pyannote[3251].start 15338.98409375
transcript.pyannote[3251].end 15340.50284375
transcript.pyannote[3252].speaker SPEAKER_12
transcript.pyannote[3252].start 15340.80659375
transcript.pyannote[3252].end 15342.71346875
transcript.pyannote[3253].speaker SPEAKER_12
transcript.pyannote[3253].start 15342.96659375
transcript.pyannote[3253].end 15345.02534375
transcript.pyannote[3254].speaker SPEAKER_12
transcript.pyannote[3254].start 15345.22784375
transcript.pyannote[3254].end 15347.26971875
transcript.pyannote[3255].speaker SPEAKER_12
transcript.pyannote[3255].start 15347.37096875
transcript.pyannote[3255].end 15352.50096875
transcript.pyannote[3256].speaker SPEAKER_12
transcript.pyannote[3256].start 15352.78784375
transcript.pyannote[3256].end 15354.94784375
transcript.pyannote[3257].speaker SPEAKER_12
transcript.pyannote[3257].start 15355.26846875
transcript.pyannote[3257].end 15357.46221875
transcript.pyannote[3258].speaker SPEAKER_12
transcript.pyannote[3258].start 15357.74909375
transcript.pyannote[3258].end 15360.16221875
transcript.pyannote[3259].speaker SPEAKER_12
transcript.pyannote[3259].start 15360.38159375
transcript.pyannote[3259].end 15362.77784375
transcript.pyannote[3260].speaker SPEAKER_12
transcript.pyannote[3260].start 15363.04784375
transcript.pyannote[3260].end 15365.22471875
transcript.pyannote[3261].speaker SPEAKER_12
transcript.pyannote[3261].start 15365.51159375
transcript.pyannote[3261].end 15367.48596875
transcript.pyannote[3262].speaker SPEAKER_12
transcript.pyannote[3262].start 15367.78971875
transcript.pyannote[3262].end 15371.62034375
transcript.pyannote[3263].speaker SPEAKER_12
transcript.pyannote[3263].start 15371.94096875
transcript.pyannote[3263].end 15375.87284375
transcript.pyannote[3264].speaker SPEAKER_12
transcript.pyannote[3264].start 15376.21034375
transcript.pyannote[3264].end 15378.11721875
transcript.pyannote[3265].speaker SPEAKER_12
transcript.pyannote[3265].start 15378.45471875
transcript.pyannote[3265].end 15379.95659375
transcript.pyannote[3266].speaker SPEAKER_12
transcript.pyannote[3266].start 15380.46284375
transcript.pyannote[3266].end 15385.01909375
transcript.pyannote[3267].speaker SPEAKER_12
transcript.pyannote[3267].start 15385.40721875
transcript.pyannote[3267].end 15387.46596875
transcript.pyannote[3268].speaker SPEAKER_12
transcript.pyannote[3268].start 15387.75284375
transcript.pyannote[3268].end 15389.79471875
transcript.pyannote[3269].speaker SPEAKER_12
transcript.pyannote[3269].start 15390.13221875
transcript.pyannote[3269].end 15392.32596875
transcript.pyannote[3270].speaker SPEAKER_12
transcript.pyannote[3270].start 15392.69721875
transcript.pyannote[3270].end 15394.95846875
transcript.pyannote[3271].speaker SPEAKER_12
transcript.pyannote[3271].start 15395.26221875
transcript.pyannote[3271].end 15397.28721875
transcript.pyannote[3272].speaker SPEAKER_12
transcript.pyannote[3272].start 15397.60784375
transcript.pyannote[3272].end 15400.05471875
transcript.pyannote[3273].speaker SPEAKER_12
transcript.pyannote[3273].start 15400.54409375
transcript.pyannote[3273].end 15402.01221875
transcript.pyannote[3274].speaker SPEAKER_12
transcript.pyannote[3274].start 15402.23159375
transcript.pyannote[3274].end 15406.19721875
transcript.pyannote[3275].speaker SPEAKER_12
transcript.pyannote[3275].start 15406.45034375
transcript.pyannote[3275].end 15410.85471875
transcript.pyannote[3276].speaker SPEAKER_12
transcript.pyannote[3276].start 15411.17534375
transcript.pyannote[3276].end 15414.11159375
transcript.pyannote[3277].speaker SPEAKER_12
transcript.pyannote[3277].start 15414.38159375
transcript.pyannote[3277].end 15416.18721875
transcript.pyannote[3278].speaker SPEAKER_12
transcript.pyannote[3278].start 15416.52471875
transcript.pyannote[3278].end 15416.96346875
transcript.pyannote[3279].speaker SPEAKER_12
transcript.pyannote[3279].start 15417.50346875
transcript.pyannote[3279].end 15418.49909375
transcript.pyannote[3280].speaker SPEAKER_12
transcript.pyannote[3280].start 15418.80284375
transcript.pyannote[3280].end 15422.24534375
transcript.pyannote[3281].speaker SPEAKER_12
transcript.pyannote[3281].start 15422.49846875
transcript.pyannote[3281].end 15424.55721875
transcript.pyannote[3282].speaker SPEAKER_12
transcript.pyannote[3282].start 15425.83971875
transcript.pyannote[3282].end 15427.93221875
transcript.pyannote[3283].speaker SPEAKER_12
transcript.pyannote[3283].start 15428.57346875
transcript.pyannote[3283].end 15432.28596875
transcript.pyannote[3284].speaker SPEAKER_12
transcript.pyannote[3284].start 15433.04534375
transcript.pyannote[3284].end 15436.43721875
transcript.pyannote[3285].speaker SPEAKER_12
transcript.pyannote[3285].start 15436.63971875
transcript.pyannote[3285].end 15438.04034375
transcript.pyannote[3286].speaker SPEAKER_12
transcript.pyannote[3286].start 15438.44534375
transcript.pyannote[3286].end 15443.87909375
transcript.pyannote[3287].speaker SPEAKER_12
transcript.pyannote[3287].start 15444.23346875
transcript.pyannote[3287].end 15447.59159375
transcript.pyannote[3288].speaker SPEAKER_12
transcript.pyannote[3288].start 15448.55346875
transcript.pyannote[3288].end 15450.40971875
transcript.pyannote[3289].speaker SPEAKER_12
transcript.pyannote[3289].start 15450.73034375
transcript.pyannote[3289].end 15454.74659375
transcript.pyannote[3290].speaker SPEAKER_12
transcript.pyannote[3290].start 15455.21909375
transcript.pyannote[3290].end 15459.18471875
transcript.pyannote[3291].speaker SPEAKER_12
transcript.pyannote[3291].start 15459.50534375
transcript.pyannote[3291].end 15463.55534375
transcript.pyannote[3292].speaker SPEAKER_12
transcript.pyannote[3292].start 15463.87596875
transcript.pyannote[3292].end 15466.37346875
transcript.pyannote[3293].speaker SPEAKER_12
transcript.pyannote[3293].start 15466.60971875
transcript.pyannote[3293].end 15468.65159375
transcript.pyannote[3294].speaker SPEAKER_12
transcript.pyannote[3294].start 15468.92159375
transcript.pyannote[3294].end 15471.11534375
transcript.pyannote[3295].speaker SPEAKER_12
transcript.pyannote[3295].start 15471.30096875
transcript.pyannote[3295].end 15473.41034375
transcript.pyannote[3296].speaker SPEAKER_12
transcript.pyannote[3296].start 15473.66346875
transcript.pyannote[3296].end 15476.05971875
transcript.pyannote[3297].speaker SPEAKER_12
transcript.pyannote[3297].start 15476.27909375
transcript.pyannote[3297].end 15478.75971875
transcript.pyannote[3298].speaker SPEAKER_12
transcript.pyannote[3298].start 15478.92846875
transcript.pyannote[3298].end 15481.24034375
transcript.pyannote[3299].speaker SPEAKER_12
transcript.pyannote[3299].start 15481.42596875
transcript.pyannote[3299].end 15483.60284375
transcript.pyannote[3300].speaker SPEAKER_12
transcript.pyannote[3300].start 15483.88971875
transcript.pyannote[3300].end 15487.77096875
transcript.pyannote[3301].speaker SPEAKER_12
transcript.pyannote[3301].start 15488.12534375
transcript.pyannote[3301].end 15492.07409375
transcript.pyannote[3302].speaker SPEAKER_12
transcript.pyannote[3302].start 15492.44534375
transcript.pyannote[3302].end 15494.30159375
transcript.pyannote[3303].speaker SPEAKER_12
transcript.pyannote[3303].start 15494.50409375
transcript.pyannote[3303].end 15495.41534375
transcript.pyannote[3304].speaker SPEAKER_12
transcript.pyannote[3304].start 15495.70221875
transcript.pyannote[3304].end 15498.46971875
transcript.pyannote[3305].speaker SPEAKER_12
transcript.pyannote[3305].start 15499.02659375
transcript.pyannote[3305].end 15503.16096875
transcript.pyannote[3306].speaker SPEAKER_12
transcript.pyannote[3306].start 15503.49846875
transcript.pyannote[3306].end 15507.81846875
transcript.pyannote[3307].speaker SPEAKER_12
transcript.pyannote[3307].start 15508.17284375
transcript.pyannote[3307].end 15511.85159375
transcript.pyannote[3308].speaker SPEAKER_12
transcript.pyannote[3308].start 15512.20596875
transcript.pyannote[3308].end 15513.65721875
transcript.pyannote[3309].speaker SPEAKER_12
transcript.pyannote[3309].start 15513.97784375
transcript.pyannote[3309].end 15514.88909375
transcript.pyannote[3310].speaker SPEAKER_12
transcript.pyannote[3310].start 15515.14221875
transcript.pyannote[3310].end 15518.17971875
transcript.pyannote[3311].speaker SPEAKER_16
transcript.pyannote[3311].start 15522.44909375
transcript.pyannote[3311].end 15523.52909375
transcript.pyannote[3312].speaker SPEAKER_16
transcript.pyannote[3312].start 15524.57534375
transcript.pyannote[3312].end 15534.07596875
transcript.pyannote[3313].speaker SPEAKER_16
transcript.pyannote[3313].start 15534.44721875
transcript.pyannote[3313].end 15544.35284375
transcript.pyannote[3314].speaker SPEAKER_16
transcript.pyannote[3314].start 15544.52159375
transcript.pyannote[3314].end 15546.46221875
transcript.pyannote[3315].speaker SPEAKER_16
transcript.pyannote[3315].start 15551.96346875
transcript.pyannote[3315].end 15552.03096875
transcript.pyannote[3316].speaker SPEAKER_24
transcript.pyannote[3316].start 15574.25534375
transcript.pyannote[3316].end 15574.27221875
transcript.pyannote[3317].speaker SPEAKER_14
transcript.pyannote[3317].start 15574.27221875
transcript.pyannote[3317].end 15574.30596875
transcript.pyannote[3318].speaker SPEAKER_14
transcript.pyannote[3318].start 15574.33971875
transcript.pyannote[3318].end 15574.69409375
transcript.pyannote[3319].speaker SPEAKER_14
transcript.pyannote[3319].start 15574.79534375
transcript.pyannote[3319].end 15574.98096875
transcript.pyannote[3320].speaker SPEAKER_27
transcript.pyannote[3320].start 15575.87534375
transcript.pyannote[3320].end 15575.92596875
transcript.pyannote[3321].speaker SPEAKER_27
transcript.pyannote[3321].start 15575.99346875
transcript.pyannote[3321].end 15576.28034375
transcript.pyannote[3322].speaker SPEAKER_27
transcript.pyannote[3322].start 15576.31409375
transcript.pyannote[3322].end 15578.82846875
transcript.whisperx[0].start 308.076
transcript.whisperx[0].end 308.177
transcript.whisperx[0].text 谢谢大家
transcript.whisperx[1].start 382.705
transcript.whisperx[1].end 401.101
transcript.whisperx[1].text 響鐘
transcript.whisperx[2].start 469.94
transcript.whisperx[2].end 470.081
transcript.whisperx[2].text 谢谢观看
transcript.whisperx[3].start 504.224
transcript.whisperx[3].end 517.09
transcript.whisperx[3].text 感谢观看
transcript.whisperx[4].start 587.654
transcript.whisperx[4].end 588.137
transcript.whisperx[4].text 谢谢观看
transcript.whisperx[5].start 743.524
transcript.whisperx[5].end 744.858
transcript.whisperx[5].text 谢谢大家
transcript.whisperx[6].start 818.148
transcript.whisperx[6].end 820.876
transcript.whisperx[6].text 谢谢观看
transcript.whisperx[7].start 1089.582
transcript.whisperx[7].end 1091.186
transcript.whisperx[7].text 谢谢观看 欢迎订阅
transcript.whisperx[8].start 1206.561
transcript.whisperx[8].end 1207.312
transcript.whisperx[8].text 谢谢观看 欢迎订阅我的频道
transcript.whisperx[9].start 1782.842
transcript.whisperx[9].end 1785.06
transcript.whisperx[9].text MING PAO CANADA MANGA
transcript.whisperx[10].start 1819.807
transcript.whisperx[10].end 1825.611
transcript.whisperx[10].text 來要開會囉要開會囉
transcript.whisperx[11].start 1837.122
transcript.whisperx[11].end 1853.594
transcript.whisperx[11].text 來請組密報告出席人數報告全體會出席委員13人已足法定人數現在開會進行報告事項請宣讀上次會議意思錄及報告事項第二案及第三案預算解凍共計29案請宣讀
transcript.whisperx[12].start 1856.256
transcript.whisperx[12].end 1870.463
transcript.whisperx[12].text 第11屆第三會期經濟委員會第13次全體委員會議事錄時間114年5月19日星期一九十四分至十二十二十二分地點紅龍101會議室初學人林大亂等14人列席委員郭玉琴等9人列席人員農業部部長陳俊記
transcript.whisperx[13].start 1873.188
transcript.whisperx[13].end 1893.479
transcript.whisperx[13].text 公平交易委員會大理主任委員陳志明等主席蔡昭舉委員予以報告事項一 宣讀上次會議事錄決定 確定二 處理114年度中央政府總預算有關農業部及所屬主管預算凍結案等18案一 農業部函位114年度中央政府總預算決議減重該部一般事務費預算凍結200萬元書面報告案二 減重農業部一般行政預算凍結1000萬元書面報告案三 減重農業部農業管理預算凍結2億元書面報告案四
transcript.whisperx[14].start 1902.103
transcript.whisperx[14].end 1913.369
transcript.whisperx[14].text 減送農業部社會保險業務預算凍結100萬元輸命報告案5減送農業部農民服務業務預算凍結100萬元輸命報告案6減送林業及自然保育署及所屬違犯費預算凍結200萬元輸命報告案7減送林業及自然保育署及所屬林業發展預算凍結2000萬元輸命報告案8減送
transcript.whisperx[15].start 1921.873
transcript.whisperx[15].end 1940.946
transcript.whisperx[15].text 農村發展及水土保持署 水土保持發展預算凍結1000萬元書面報告案9 減送茶及飲料作物改良廠 農場南遷之環評等先期規劃預算凍結500萬元書面報告案10 減送漁業署及所屬漁業科技研究發展預算凍結300萬元書面報告案11 減送漁業署及所屬漁業管理預算凍結500萬元書面報告案12 減送漁業署及所屬漁業發展
transcript.whisperx[16].start 1946.71
transcript.whisperx[16].end 1970.5
transcript.whisperx[16].text 預算凍結一千萬元輸入報告案 十三 減送動植物防疫檢疫署及所署動植物防疫檢疫管理預算凍結五百萬元輸入報告案 十四減送農業金融署農業金融機構管理預算凍結兩百萬元輸入報告案 十五減送農糧署農糧管理預算凍結三千萬元輸入報告案 十六減送農田水利署農田水利發展預算凍結五百萬元輸入報告案 十七減送農業部綜合規劃預算
transcript.whisperx[17].start 1972.782
transcript.whisperx[17].end 1992.28
transcript.whisperx[17].text 動結1000萬元書面報告案18 減送農業部業務費預算動結450萬元書面報告案決定第1案至第18案書面報告均已送達預算均得以動之擬拒報告提報院會3 處理2014年度中央政府總預算有關公民交易委員會主管預算動結案等6案1 公民交易委員會函
transcript.whisperx[18].start 1993.622
transcript.whisperx[18].end 2006.615
transcript.whisperx[18].text 為114年度中央政府總預算決議減送第二幕第三節法務及行政救濟業務預算凍結50萬元書面報告案二減送第二幕第四節綜合規劃及宣導業務預算凍結50萬元書面報告案三減送資訊業務及經濟發展產業資料管理預算凍結80萬元書面報告案四減送第二幕第一節
transcript.whisperx[19].start 2013.602
transcript.whisperx[19].end 2042.13
transcript.whisperx[19].text 公平交易業務限制競爭行為調查處理預算凍結100萬元書面報告案5.減充第二幕第二節不公平競爭行為調查處理及多層次傳銷管理預算凍結50萬元書面報告案6.減充第二幕第五節針對擬定及國際交易業務預算凍結100萬元書面報告案決定第一案至第六案書面報告經與送達預算均得以動之理據報告提報院會討論事項一審查114年度中央政府總預算有關農業部及所屬主管
transcript.whisperx[20].start 2043.131
transcript.whisperx[20].end 2044.64
transcript.whisperx[20].text 預算凍結案等12案1 農業部
transcript.whisperx[21].start 2046.34
transcript.whisperx[21].end 2075.478
transcript.whisperx[21].text 函為114年度中央政府總預算決議減重該部業務費預算凍結30%專案報告案談判事項合併詢答農業部部長陳俊濟及公民教育委員會代理主任委員陳志明報告後委員林大化等16人提出質詢均由農業部部長陳俊濟及公民教育委員會代理主任委員陳志明等積極答覆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林玉玲林大化及邱志偉所提書面質詢列入紀錄刊登公報
transcript.whisperx[22].start 2076.278
transcript.whisperx[22].end 2094.227
transcript.whisperx[22].text 書面質詢和問及答覆部分請相關單位於一週內書面答覆並複製本位二 農業部函為114年度中央政府總預算決議減送該部農業科技研究發展預算凍結2000萬元專案報告案三 減送農業部建置我國寵物管理及產業健全發展計畫預算凍結10%書面報告案四 減送農業部補助農業特
transcript.whisperx[23].start 2100.779
transcript.whisperx[23].end 2121.853
transcript.whisperx[23].text 特别收入基金预算冻结5亿元专案报告案5.减送农业部农民保险业务预算冻结1000万元专案报告案6.减送林业及自然保育署及所属业务费预算冻结30%专案报告案7.减送农村发展及水土保质署业务费预算冻结10%专案报告案8.减送渔业署及所属业务费预算冻结30%专案报告案
transcript.whisperx[24].start 2122.734
transcript.whisperx[24].end 2127.818
transcript.whisperx[24].text 9.減送動植物防疫檢疫署及所署 優惠預算凍結30%中案報告案10.
transcript.whisperx[25].start 2127.818
transcript.whisperx[25].end 2131.761
transcript.whisperx[25].text 減送農糧署及所署 優惠預算凍結30%中案報告案11.
transcript.whisperx[26].start 2131.761
transcript.whisperx[26].end 2135.684
transcript.whisperx[26].text 減送農田水利署 優惠預算凍結30%中案報告案12.
transcript.whisperx[27].start 2135.684
transcript.whisperx[27].end 2144.471
transcript.whisperx[27].text 減送農田水利署 農田水利快遇整合永續發展計劃預算凍結10%中案報告案決議第一案至第十二案均同意動之 拟據報告提報院會
transcript.whisperx[28].start 2145.932
transcript.whisperx[28].end 2161.097
transcript.whisperx[28].text 2.檢查114年度中央政府總預算有關公平教育委員會主管預算凍結案等二案依公平教育委員會函為114年度中央政府總預算決議檢証業務費預算凍結30%專案報告案2.檢証第二幕第一節第1、3級產業獨佔結合及聯合行為之調查處理預算凍結100萬元專案報告案決議第一案及第二案均同意動之擬拘報告提報院會散會報告事項
transcript.whisperx[29].start 2176.345
transcript.whisperx[29].end 2185.502
transcript.whisperx[29].text 二處理114年度中央政府總預算有關經濟部及所屬主管預算凍結案等事務案一經濟部罕為114年度中央政府總預算決議檢証
transcript.whisperx[30].start 2187.839
transcript.whisperx[30].end 2195.287
transcript.whisperx[30].text 該部水電費預算凍結200萬元書面報告案二檢送產業技術師政策研究與推動計劃預算凍結5%書面報告案三檢送投資促進師延攬外國專業人才預算凍結200萬元書面報告案四檢送資訊處數位應用與資安韌性預算凍結60萬元書面報告案五檢送
transcript.whisperx[31].start 2209.728
transcript.whisperx[31].end 2222.154
transcript.whisperx[31].text 經濟部一般行政預算凍結100萬元書面報告案6.檢送投資促進師促進投資預算凍結500萬元書面報告案7.檢送產業技術師研發測試場域整建計作業預算凍結1000萬元書面報告案8.檢送產業發展署工業技術升級輔導預算凍結3000萬元書面報告案9.檢送產業發展署
transcript.whisperx[32].start 2244.729
transcript.whisperx[32].end 2263.986
transcript.whisperx[32].text 9.減送產業發展署公益管理預算凍結100萬人書面報告案10.減送標準檢驗局及所屬標準檢驗及度證管理預算凍結100萬人書面報告案11.減送資格財產局推動保護資格財產權預算凍結500萬人書面報告案12.減送水利署及所屬水利建設及保育管理預算凍結500萬人書面報告案13.
transcript.whisperx[33].start 2266.508
transcript.whisperx[33].end 2294.781
transcript.whisperx[33].text 减送商业发展署促进商业科技发展预算冻结200万元书面报告案14减送能源署能源规划与国际交流预算冻结100万元书面报告案15减送智慧财产局智慧财产权科技发展预算冻结2000万元书面报告案3处理114年度中央政府总预算有关国家发展委员会及所属主管预算冻结案等14案1国家发展委员会含为114年度中央政府总预算决议减送水电费预算冻结100万元书面报告案2
transcript.whisperx[34].start 2296.162
transcript.whisperx[34].end 2304.172
transcript.whisperx[34].text 減送第二幕規劃及推動國家發展計畫綜合業務預算凍結50萬元書面報告案減送第三幕研擬經濟政策協調推動財經措施預算凍結100萬元書面報告案減送第四幕促進社會發展及計畫審議協調預算凍結60萬元書面報告案
transcript.whisperx[35].start 2315.826
transcript.whisperx[35].end 2336.467
transcript.whisperx[35].text 減送第四目建制以資料科學為基礎之社會政策治理機制計畫預算凍結200萬元書面報告案6減送第五目促進產業發展預算凍結1000萬元書面報告案7減送第六目促進人力資源發展預算凍結500萬元書面報告案8減送第七目健全國土規劃及經營管理預算凍結1000萬元書面報告案9
transcript.whisperx[36].start 2338.309
transcript.whisperx[36].end 2362.682
transcript.whisperx[36].text 減送第7目地方創生之協調推動預算凍結20%書面報告案10.減送第7目永續發展計畫之協調推動預算凍結200萬元書面報告案11.減送第8目績效管理預算凍結100萬元書面報告案12.減送檔案管理局第2目檔案管理應用預算凍結100萬元書面報告案13.減送檔案管理局第4目國家記憶深化推廣預算凍結1000萬元書面報告案
transcript.whisperx[37].start 2365.083
transcript.whisperx[37].end 2379.868
transcript.whisperx[37].text 14 減重第6目 研議與協調推動人力資源相關政策及計畫預算凍結150萬元書面報告案宣讀完畢好那我們就來處理報告事項請問各位同仁上次會議議事錄有無錯誤
transcript.whisperx[38].start 2384.348
transcript.whisperx[38].end 2409.985
transcript.whisperx[38].text 沒有齁好那依職務確定那第二個報告事項第二案及第三案分別為經濟部及所屬預算解凍案第一案至第十五案及國家發展委員會預算解凍案第一案至第十四案當時的決議是提出書面報告後使得動之現在書面報告已經送達預算得與動之請問各位委員有無異議
transcript.whisperx[39].start 2411.286
transcript.whisperx[39].end 2420.062
transcript.whisperx[39].text 好沒有異議的話通過那並擬據報告提報院會那我們現在剛剛有收音到嗎
transcript.whisperx[40].start 2421.926
transcript.whisperx[40].end 2444.371
transcript.whisperx[40].text 那我再確定一次就是這個書面報告這個解凍案請問各位委員預算得以凍資有無意義沒有好沒有意義的話就通過那你去報告事項提報院會繼續進行討論事項請宣讀討論事項第一案及第二案
transcript.whisperx[41].start 2445.766
transcript.whisperx[41].end 2457.878
transcript.whisperx[41].text 討論事項 第一案審查114年度中央政府總預算有關經濟部及所屬主管預算凍結案等二次案一 經濟部罕為114年度中央政府總預算決議檢送該部業務費預算凍結30%中央報告案二 檢送經濟部媒體政策及業務宣導費預算凍結60萬元
transcript.whisperx[42].start 2464.905
transcript.whisperx[42].end 2470.05
transcript.whisperx[42].text 書面報告案3.檢送產業技術師科技專案預算凍結10%專案報告案4.檢送產業技術師科技專案預算凍結2億元專案報告案5.檢送經濟部建置橋外來台投資全程線上化計畫預算凍結50%專案報告案
transcript.whisperx[43].start 2483.283
transcript.whisperx[43].end 2491.304
transcript.whisperx[43].text 6.減重經濟部業務費預算凍結28%專案報告案7.減重經濟部業務費預算凍結1000萬人專案報告案8.減重國營事業管理師國營事業管理預算凍結30億人專案報告案9.減重國營事業管理師基本行政工作維持預算凍結500萬人專案報告案10.減重國營事業管理師基本行政工作維持預算凍結15%專案調查及究責檢討報告案11.
transcript.whisperx[44].start 2511.808
transcript.whisperx[44].end 2518.252
transcript.whisperx[44].text 減送經濟部經濟部辦公廳設新建計劃預算凍結50%專案報告案12減送產業發展署業務費預算凍結30%專案報告案13減送國際貿易署業務費預算凍結30%專案報告案14減送標準檢驗局及所署
transcript.whisperx[45].start 2529.359
transcript.whisperx[45].end 2536.704
transcript.whisperx[45].text 業務費預算凍結30%中央報告案15.減送智慧財產局業務費預算凍結30%中央報告案16.減送水利署及所屬業務費預算凍結10%中央報告案17.減送水利署業務費預算凍結10%中央報告案18.減送商業發展署業務費預算凍結30%中央報告案19.減送中小及輕創產業署
transcript.whisperx[46].start 2551.178
transcript.whisperx[46].end 2560.201
transcript.whisperx[46].text 新創企業署業務費預算凍結30%專案報告案20 減送產業園區管理局業務費預算凍結30%專案報告案21 減送地質調查及礦業管理中心業務費預算凍結30%專案報告案22 減送能源署業務費預算凍結50%專案報告案23 減送能源署業務費預算凍結1000萬元專案報告案24 減送能源署經濟特別收入基金預算凍結20%專案報告案
transcript.whisperx[47].start 2580.114
transcript.whisperx[47].end 2591.225
transcript.whisperx[47].text 第二 審查114年度中央政府總預算有關國家發展委員會及所屬主管預算凍結案等7案一 國家發展委員會為114年度中央政府總預算決議減送業務費預算凍結30%專案報告案二 國家發展委員會
transcript.whisperx[48].start 2597.475
transcript.whisperx[48].end 2604.48
transcript.whisperx[48].text 減送業務費預算凍結1500萬元書面報告案減送第二幕規劃及推動國家發展計劃綜合業務預算凍結28%專案報告案減送第二幕向下規劃國家發展計劃預算凍結30%書面報告案減送第三幕財經新策略規劃研究預算凍結20%書面報告案
transcript.whisperx[49].start 2620.59
transcript.whisperx[49].end 2629.637
transcript.whisperx[49].text 減送第四幕建構完善淨零公正轉型及區域治理推動機制預算凍結500萬元專案報告案7減送檔案管理局業務費預算凍結30%專案報告案宣讀完畢好那我們現在先請經濟部
transcript.whisperx[50].start 2642.472
transcript.whisperx[50].end 2664.683
transcript.whisperx[50].text 本日議程所列討論事項有114年度中央政府總預算有關經濟部及所屬主管預算凍結共計24案及國家發展委員會主管預算凍結共計7案我們合併報告及詢答那我們現在先請經濟部郭智輝部長就預算解凍等24案合併報告
transcript.whisperx[51].start 2674.417
transcript.whisperx[51].end 2696.25
transcript.whisperx[51].text 主席 各位委員 大家早大院審議本部主管114年度預算所作預算凍結決議計39案本部以分別研擬書面報告送達大院本次會議列有報告事項14案以及討論事項25案以下僅就討論事項之報告內容簡要說明 進行指教
transcript.whisperx[52].start 2701.874
transcript.whisperx[52].end 2725.994
transcript.whisperx[52].text 业务费预算冻结30%本项预算主要系办理智库研究科技专案计划管考及绩效考评国际科技合作及奖项评选推动资讯政策计划与资讯业务相关服务办理吸引桥外商来台及台商回台投资
transcript.whisperx[53].start 2726.754
transcript.whisperx[53].end 2744.486
transcript.whisperx[53].text 协助厂商全球布局等业务以及基本行政工作维持的经费二、科技专案预算冻结10%与冻结2亿本两项预算主要系整合法人研究机构
transcript.whisperx[54].start 2745.844
transcript.whisperx[54].end 2766.056
transcript.whisperx[54].text 產業界 學術界之研發能量推動法人業界學界科技專案計畫研發具前瞻業應用潛力之技術三 推動投資審議智慧發展建制橋外來台投資全程線上化計畫預算被統計50%
transcript.whisperx[55].start 2770.031
transcript.whisperx[55].end 2791.985
transcript.whisperx[55].text 本項預算主要是建置便捷的線上申辦系統及具有資安防護之審議系統等以簡化業務申辦程序及全面發展橋外來台投資線上申辦審議業務是一般行政業務費預算凍結28%與一般行政基本行政工作維持業務費
transcript.whisperx[56].start 2793.226
transcript.whisperx[56].end 2808.893
transcript.whisperx[56].text 预算冻结1000万本两项预算主要系本部基本行政工作维护所需费用以支援本部主管业务推动5.国营事业管理基本行政工作维持业务费预算冻结500万与冻结15%
transcript.whisperx[57].start 2811.107
transcript.whisperx[57].end 2838.682
transcript.whisperx[57].text 本兩項預算主要系本部國營事業管理司基本行政工作維持所需經費以支援該司業務推動六 一般建築及設備營建工程經濟部辦公廳設興建計畫預算凍結50%本部辦公廳設限制各棟建物老舊維護費用逐年攀升亦不符合智慧及綠建築特性
transcript.whisperx[58].start 2839.582
transcript.whisperx[58].end 2861.891
transcript.whisperx[58].text 又所屬部分單位在外租借辦公廳設需訂支付租金原有新建辦公廳設置迫切需求七媒體政策及業務宣傳費預算凍結60萬元本項預算主要是為確保民眾可透過多元管道了解國家重要經濟政策保障其相關權益
transcript.whisperx[59].start 2863.615
transcript.whisperx[59].end 2876.149
transcript.whisperx[59].text 八 國營事業管理預算凍結30億本項預算為本部國營事業管理師統籌督導本部所屬事業之經營管理業務及基本行政工作維持等所需經費二
transcript.whisperx[60].start 2879.513
transcript.whisperx[60].end 2896.565
transcript.whisperx[60].text 產業發展署議案業務費凍結30%本項預算主要系配合政府產業政策辦理協助產業低碳化智慧化高質化及發展半導體AI軍工等重要業務所需輔導及行政工作擴大半導體生態系與競爭優勢強化國內半導體材料與設備供應鏈
transcript.whisperx[61].start 2900.228
transcript.whisperx[61].end 2926.863
transcript.whisperx[61].text 引领产业升级转型3.国际贸易署议案业务费预算冻结30%本项预算主要推动我国参加2025大阪世界博览会经会以办理展馆及新建工程及营运等工作目前已如期完成展馆新建并于114年4月13日开幕4.标准检验局所属议案业务费冻结30%
transcript.whisperx[62].start 2928.366
transcript.whisperx[62].end 2948.391
transcript.whisperx[62].text 預算凍結30%本項預算主要辦理國家標準制定檢驗業務規範商品檢驗行政與管理發展再生能源檢測能量度量衡管理及檢定以推動商品安全業務及計量管理制度確保產業良性發展及維護消費者權益
transcript.whisperx[63].start 2952.031
transcript.whisperx[63].end 2979.597
transcript.whisperx[63].text 智慧財產局兩岸業務費凍結30%本項預算主要系提升專利審查效能辦理專利商標及著作權保護完善數位環境之建構與營運並提供創新發明推廣服務協助企業優化佈局策略綿合優秀人才以促進產業創新及提升制裁保護能量二
transcript.whisperx[64].start 2981.027
transcript.whisperx[64].end 2996.973
transcript.whisperx[64].text 智慧財產權科技發展制預算凍結2000萬元本項預算主要系為建置完善的檢索及審查資訊系統以確保專利與商標檢索及審查之效能提供更健全之智慧財產權保護數位環境
transcript.whisperx[65].start 3002.01
transcript.whisperx[65].end 3018.225
transcript.whisperx[65].text 6.水利署所屬兩岸業務費預算凍結10%本項預算主要辦理強化區域供水安全與穩定降低淹水機率提高防洪韌性及完備智慧防災應變機制等水利建設計畫之行政經費
transcript.whisperx[66].start 3020.066
transcript.whisperx[66].end 3039.45
transcript.whisperx[66].text 二水資源開發局維護自來水工程業務費預算凍結10%本項預算主要系自來水工程管理業務所需費用以資源推動偏遠地區供水改善等工程第七商業發展署一案業務費凍結30%本項預算主要系協助商業服務業發展
transcript.whisperx[67].start 3045.231
transcript.whisperx[67].end 3068.449
transcript.whisperx[67].text 以穩定經營並協助企業提高獲利能力創造額外的附加價值強化員工生產力促使員工薪資成長第八中小及新創企業署一案業務費凍結30%本項預算主要是以協助我國中小微企業數位轉型淨零轉型及部件通路以強化中小微企業的經營韌性就
transcript.whisperx[68].start 3071.724
transcript.whisperx[68].end 3087.91
transcript.whisperx[68].text 产业园区管理局所属一案业务费预算冻结30%本项预算主要是维持园区基本运作园区开发及管理及营造优质营运环境以促进产业及经济发展
transcript.whisperx[69].start 3089.66
transcript.whisperx[69].end 3108.804
transcript.whisperx[69].text 10 地質調查及礦業中心一案 業務費預算凍結30%本項預算主要是辦理地質及礦業科技發展 地質調查及礦業管理業務所需11 能源署三案 業務費預算凍結50%本項預算主要是辦理高雄海洋科技產業創新園區沙崙智慧綠能科技廠維運培訓
transcript.whisperx[70].start 3116.277
transcript.whisperx[70].end 3130.317
transcript.whisperx[70].text 离岸风电人才国际能源双边合作电价及费率审议行政作业基本行政工作与资讯管理等业务二能源科技计划再生能源环境健康
transcript.whisperx[71].start 3131.348
transcript.whisperx[71].end 3147.808
transcript.whisperx[71].text 建構業務費預算凍結1000萬元本項預算主要是辦理高雄海洋科技產業創新專業營運沙崙智慧綠能科技城委託專業服務等案等計畫提供各場域的運維
transcript.whisperx[72].start 3149.835
transcript.whisperx[72].end 3176.03
transcript.whisperx[72].text 协助链接各计划研发成果打造绿能产业高质化推动平台及培训离岸风电各项人才等三非营业特种基金经济特别收入基金预算冻结20%本项预算主要办理住宅家电效率升级计划家户屋顶设置太阳光电加速计划等
transcript.whisperx[73].start 3176.75
transcript.whisperx[73].end 3197.017
transcript.whisperx[73].text 用於輔助住宅、汰換老舊家電推動設置加護屋頂太陽光電設備以加速推動住宅部門節能減碳及提升太陽光電設置普及率由於本部各項施政計畫預算均系配合國家發展編列
transcript.whisperx[74].start 3200.138
transcript.whisperx[74].end 3226.445
transcript.whisperx[74].text 業務實際需求 懇請各位委員會與支持並同意相關經費之動之必利各項業務推動 以上報告祝各位委員生理健康 處事順利好謝謝我們郭部長的報告那我們下一位請國家發展委員會高仙貴副主任委員就預算解凍等七案合併報告那請報告
transcript.whisperx[75].start 3231.734
transcript.whisperx[75].end 3258.876
transcript.whisperx[75].text 主席各位委員親近 大家好大院審查本會及所屬檔案局的114年預算的解凍案 總共有21案我們已經把研擬的報告送到大院我們緊究討論的四項的七項其中有兩項是合併為一幕來說明第一個是有關大院關切我國進行推動進展以及部分永續目標
transcript.whisperx[76].start 3260.037
transcript.whisperx[76].end 3282.768
transcript.whisperx[76].text 的進程然後凍結我們的業務費百分之三十我們簡要說明事實上我們已經在一百一四年一月提出了新的台灣的國家制定減碳的目標然後將二零三零年的目標建為二十八加減二比上次的二十四加減一來得更有企圖心而且擬定了台灣總體減碳行動計畫那務實達成二零五年的進營目標
transcript.whisperx[77].start 3288.311
transcript.whisperx[77].end 3301.424
transcript.whisperx[77].text 那其實我們本會114年編列的業務費是為了推動國家發展的及機關基本的運作所需那所以這些執行情況良好所以恳請這個
transcript.whisperx[78].start 3303.866
transcript.whisperx[78].end 3324.646
transcript.whisperx[78].text 大院的進行解凍那第二呢是有關大院關切我們國發基金投資聯合再生的相關事宜那事實上國發基金投資聯合再生以後除了要求公司定期的提供財務報告並控告董事會的運作強化公司治理外那另有關
transcript.whisperx[79].start 3326.507
transcript.whisperx[79].end 3353.786
transcript.whisperx[79].text 經濟部的光電標案還有國防部的光電標注案我們已經函請主管機關釐清公司作為是否有符合契約的規定那至於本會的114年一般行政跟基本行政工作的業務會是為了維持本會基本運作所需都為本會共用的共同性的經費所以卻有必要
transcript.whisperx[80].start 3355.523
transcript.whisperx[80].end 3383.818
transcript.whisperx[80].text 那第三是有關於大院決議請本會因應財化法就應移轉回歸地方自治的市權項目進行說明那事實上本會的指導主要是做國家發展之規劃協調審議跟資源分配等業務沒有涉及地方的自治項目那另有關遣隨市權移轉的原則中央承接的省府業務應該回歸各地方政府辦理一案
transcript.whisperx[81].start 3384.298
transcript.whisperx[81].end 3411.755
transcript.whisperx[81].text 那本會承接的中央的青春的核心的業務也未涉及地方的相關的事務那第四呢是有關於呢大院決議呢對本會有關於壯世代我們擔任壯世代的主管機關應積極協調目的事業主管機關來解決高齡的問題那事實上衛福部已經修正高齡社會的白筆書也提出了因應高齡社會
transcript.whisperx[82].start 3413.052
transcript.whisperx[82].end 3437.437
transcript.whisperx[82].text 的對策方案 這些方案的內容可由各相關部會積極推動中 那我們也請這個大院可以就我們重協的案件 重協的預算進行解凍那第五是有關於大院關切我們編業的促進社會發展及計畫裡面的公正轉型的進程 那本會作為
transcript.whisperx[83].start 3438.777
transcript.whisperx[83].end 3462.564
transcript.whisperx[83].text 推動進行公正轉型的業務我們的專責單位其實我們已經成立了跨部會推動小組跟公正轉型委員會等機制協調各部會解決政策推動的課題那112年起我們已經召開五次會議我們規劃安排在114年7月11月分別再召開第六跟第四會議而且我們已經辦理了43場的公眾協商那
transcript.whisperx[84].start 3465.768
transcript.whisperx[84].end 3480.76
transcript.whisperx[84].text 其實面臨行政院改組我們已經依照國家希望工程的經營轉型的願景我們已經初步規劃了國家公正轉型的架構我們預計在今年年底會提出公正轉型的行動計畫跟成果報告
transcript.whisperx[85].start 3481.901
transcript.whisperx[85].end 3501.196
transcript.whisperx[85].text 第六有關大院關切檔案局部分計畫跟工程效率的事宜我們的國家檔案館其實已經在113年12月30日完工然後在114年2月7號取得使用執照在今年第四季會啟用其實檔案局預算的
transcript.whisperx[86].start 3502.444
transcript.whisperx[86].end 3528.72
transcript.whisperx[86].text 編列的業務費呢它主要是推動國家檔案館的整備還有國家檔案徵集跟開放的事宜那相關的預算金何時編列卻有其必要那以上說明呢敬請各位委員先進呢支持那有關解凍案部分呢懇請同意解凍然後碧麗本會及所屬的檔案局相關的施政業務可以順利的推動以上報告謝謝
transcript.whisperx[87].start 3533.223
transcript.whisperx[87].end 3557.174
transcript.whisperx[87].text 好謝謝我們高副主委那我們現在就討論事項合併詢答分開處理委員執行權原例做以下宣告每位委員發言時間本會委員4分鐘必要時的延長1分鐘非本會委員3分鐘上午10點截止發言登記那我們現在先請登記第一位邱益穎委員發言
transcript.whisperx[88].start 3568.617
transcript.whisperx[88].end 3570.342
transcript.whisperx[88].text 謝謝主席我請一下這個國發會來請國發會副主委
transcript.whisperx[89].start 3576.751
transcript.whisperx[89].end 3592.315
transcript.whisperx[89].text 副主委早副主委這個本來我今天是想要問一下你們主委的這前兩天總統在520的就職週年的記者會上面宣布了一個新的重大政策就是未來台灣要成立主權基金由國發會來統籌設計這個將來要作為整合政府跟民間資金的國家及產業投資平台
transcript.whisperx[90].start 3599.858
transcript.whisperx[90].end 3615.679
transcript.whisperx[90].text 這是一個相當重大的政治經濟投資的這樣的一個宣布副主委我想知道一下國發會在這個部分參與的程度到哪裡我們來先看一下其實
transcript.whisperx[91].start 3617.841
transcript.whisperx[91].end 3640.464
transcript.whisperx[91].text 主權基金已經不是一個新的概念很多的國家都在做最著名的應該就是新加坡的淡馬錫所以我們把它稍微整理了一下新加坡、南韓、挪威、沙烏地、阿拉伯、中國甚至美國現在也開始在推動所謂的主權基金那台灣的外匯存底是高達5828億美元這是全球第四
transcript.whisperx[92].start 3641.707
transcript.whisperx[92].end 3659.506
transcript.whisperx[92].text 照理講我們其實應該是非常有這樣的能力跟機會去成立這樣的一個主權基金那未來在賴總統的這個宣誓之後我比較想知道一下國發會在這一件事情上面到目前為止你們的規劃程度是到哪裡
transcript.whisperx[93].start 3660.467
transcript.whisperx[93].end 3686.923
transcript.whisperx[93].text 主權基金跟我們現有的國發基金跟產創會不會有互相焊隔之處要怎麼樣的區分我先簡單請教您這幾個問題我想謝謝委員的詢問我想我第一個要釐清的就是說其實總統有宣誓要成立主權基金那可是那個主權基金的主責單位現在我們還是要等待行政院
transcript.whisperx[94].start 3687.783
transcript.whisperx[94].end 3700.59
transcript.whisperx[94].text 商議後再決定誰會是主責的單位所以但這個應該會找你們國發會有做先期的討論對不對對那我要再說明一下就是說當然如果是行政院指定是我們我們當然也責無旁貸
transcript.whisperx[95].start 3702.731
transcript.whisperx[95].end 3721.567
transcript.whisperx[95].text 那我们只能跟委员报告说的确我们在主权基金我们在陈前院长的时候因为有立委提到我们也曾经召开过相关的部会召开过两次的会议对我知道这个过去上一届的吴新颖委员曾经提过这个概念而且她也非常的积极的在推动所有的主权基金
transcript.whisperx[96].start 3721.707
transcript.whisperx[96].end 3746.993
transcript.whisperx[96].text 那我们的确在那两次会议里面有针对这个资金的来源设立的目的等等进行的讨论可是因为那两次的里面其实有很多的部分其实还没有一致的共识你是说你们最近的讨论里头吗应该是说所以在整个主权基金的设置两年前的那个你说的是两年前那最近的讨论我比较想要知道就是说
transcript.whisperx[97].start 3747.893
transcript.whisperx[97].end 3764.21
transcript.whisperx[97].text 我們未來的這個所謂的主權基金的設立我們是不是會參考新加坡的模式還是會參考所謂的這個南韓的模式或者是以什麼樣的模式去進行那對於現有的國發基金
transcript.whisperx[98].start 3765.39
transcript.whisperx[98].end 3786.292
transcript.whisperx[98].text 的投資方式跟處理模式主權基金跟國發基金未來你們要怎麼樣做一些區分那其實主權基金的設置其實我們先知道幾個課題第一個就是就讀這個委員所說的他的設立的目的在哪裡那目前大概是有一些是財務型的就是他是否
transcript.whisperx[99].start 3787.072
transcript.whisperx[99].end 3805.76
transcript.whisperx[99].text 要讓國家財富可以提升的增加的一種是策略型的完全是策略性的投資要強化整個國家的這個產業的競爭力等等的那有的有些是財務跟策略型mix的也有那每個國家會是他的政經情勢他會設立他設
transcript.whisperx[100].start 3808.021
transcript.whisperx[100].end 3821.593
transcript.whisperx[100].text 主權基金設置的目的是要採取哪一種型態那我覺得這個也會可以值得我們討論那目前我們國發基金基本上是屬於策略型的投資我們國發基金就是要扶植產業創新轉型是因為根據產創條例如果說我們現在的國發基金是屬於比較策略型的投資的話
transcript.whisperx[101].start 3829.58
transcript.whisperx[101].end 3856.3
transcript.whisperx[101].text 那未來的主權基金它會不會是比較偏向財富型或者是財富跟策略並進比如說我們去投資美國現在包括這個我們部長一個多禮拜前才剛從美國回來我們有很多重大的投資跟美國的這些採購啦跟美國的投資方案會不會也會在你們的主權基金裡頭去做一些相關的討論那未來整個主權基金的治理
transcript.whisperx[102].start 3858.484
transcript.whisperx[102].end 3880.451
transcript.whisperx[102].text 應該會用什麼樣的模式基本上我想總統已經宣布了其實上應該是主權基金跟國發基金是並行的主權基金跟國發基金會是並行所以一個會比較主內一個會比較主外所謂的主內就是說國發基金大概會比較偏重於在國內的市場那主權基金會比較偏重於在國際的市場
transcript.whisperx[103].start 3883.132
transcript.whisperx[103].end 3895.446
transcript.whisperx[103].text 會是這樣子做這樣子比較簡單的區分嗎我只能跟委員說這些這些剛剛您說的這些我們都還在討論當中就是還是要請行政院才能做定案
transcript.whisperx[104].start 3896.633
transcript.whisperx[104].end 3924.142
transcript.whisperx[104].text 好 所以我今天其實也問不到什麼東西啦這個副主委我想這樣啦我比較想要更深入了解一下就是到目前為止政府單位在主權基金這一塊的規劃進度假如可以的話是不是可以給本席一些基本的你們現在的一些規劃進度不屬於機密的部分可以讓委員們了解的部分是不是也可以讓我了解一下好嗎 好 謝謝
transcript.whisperx[105].start 3929.206
transcript.whisperx[105].end 3946.594
transcript.whisperx[105].text 好 謝謝邱委員 那要拜託邱委員幫我代理一下好 謝謝 我們現在請張祺凱委員發言
transcript.whisperx[106].start 3975.589
transcript.whisperx[106].end 3978.891
transcript.whisperx[106].text 來 請郭部長委員長 這個517啊 非核家電以後 非核家園以後大家都在關心 我們的電成本增加了 變貴跟變髒的問題今天我要先給你看一個畫面 來 我們先看這個 這是
transcript.whisperx[107].start 4005.859
transcript.whisperx[107].end 4033.289
transcript.whisperx[107].text 517啊 河山場二號機停了之後19號台中深夜12點的畫面中火深夜燒煤炭 煙霧瀰漫部長看了應該也是有些擔心的這個畫面真的是非常的驚悚現在開了第一槍出來抗議的是台中企業啟動
transcript.whisperx[108].start 4035.129
transcript.whisperx[108].end 4054.791
transcript.whisperx[108].text 盧秀燕 盧秀燕提出非常具體的事證她證明說 在飛河加鹽的前一天跟後一天就是前一天到後面一天 中火的發電量 全部都燒沒了喔中火是台灣最大的污染源 它燒沒
transcript.whisperx[109].start 4056.038
transcript.whisperx[109].end 4081.889
transcript.whisperx[109].text 增加了50%他直接講了一共一般講有10部這個機組有一部在維修其他的9部機組火力都全開這不是只有台中人受到影響喔在附近的中華南島 嘉義 昏林整個都受到影響了我看台電還一直認為沒有問題可是呢我們看下一張
transcript.whisperx[110].start 4083.373
transcript.whisperx[110].end 4106.592
transcript.whisperx[110].text 台中市的環保局長跟盧修緣就拿出了非常具體的證據他講說中火啊他把時間點都給你看了中火10步這個燃煤基礎9步有上限其中有8步開的都是超過9成一直持續到20號的下午下面這個話最重要請大家一起來看看
transcript.whisperx[111].start 4107.861
transcript.whisperx[111].end 4123.01
transcript.whisperx[111].text 你看 河山廠停機前16號中火 就是台灣最大的污染源他燒 用的這個煤炭一天3.23萬噸結果17號停了以後當天就跳上來了跳到4.03萬噸的煤炭18號稍微緩了一點點19號竟然攀升到4.64萬噸這多恐怖的事情
transcript.whisperx[112].start 4137.415
transcript.whisperx[112].end 4163.111
transcript.whisperx[112].text 一天喔 就是非核家園以後光是一個中火 一天多了1.4萬公噸的煤台中人跟整個中部地區的民眾用會發電 健康受到多大的影響好 那我們現在往南部看中部之外 南部的議員跑出來講
transcript.whisperx[113].start 4164.909
transcript.whisperx[113].end 4193.436
transcript.whisperx[113].text 說高雄啊新達三號跟四號的燃煤基礎你明明去年許可證明已經到齊了啊在飛河佳園貨的三天你又偷偷地打開了高雄人何辜啊不只是中部的民眾用廢在發電南部也受到很大的影響我可以這樣講在民進黨推動飛河佳園之後
transcript.whisperx[114].start 4195.083
transcript.whisperx[114].end 4221.305
transcript.whisperx[114].text 前臺灣空汙越來越嚴重這是我們現在要正視的一個很嚴重的一個問題好 接下來我要談一個也是非常嚴重的問題除了汙染增加了影響到我們人民的健康跟生命安全之外我們的電到底夠不夠呢賴清德總統第四月二十九號啊說我們的電夠啊
transcript.whisperx[115].start 4224.431
transcript.whisperx[115].end 4244.57
transcript.whisperx[115].text 他還特別講他說全國民眾啊你可以上台電的電力即時資訊你去看一下我們的備載容量啊就是我們備用的一個電都在10%以上我們就上去看了結果發現5月4號就被打臉了
transcript.whisperx[116].start 4247.321
transcript.whisperx[116].end 4256.184
transcript.whisperx[116].text 總統在4月29號接受財信的專訪說我們所有的電力備載容量電視過的都是10%以上不到五天不到五天就破功了那一天降到6.846.84多恐怖就從綠燈已經轉到黃燈了再下去6%以下就是橘燈
transcript.whisperx[117].start 4273.735
transcript.whisperx[117].end 4302.195
transcript.whisperx[117].text 橘色的燈就是隨時有可能系統性的限電的我進一步給大家看一下總統的票票大家看一下這是台電的資料我幫他做一個統計這是每天的備產容量的熱量看下一張光是四月份總統票票的10%就有11次五月份到現在為止也有7次
transcript.whisperx[118].start 4303.41
transcript.whisperx[118].end 4331.821
transcript.whisperx[118].text 在4月10號的時候 降到5.37一直沒有10%欸5.37代表什麼?已經進入了橘燈 橘燈叫做什麼?供電警戒 就是系統的限電限電的機率已經增加了再往下降 隨時就要找電了可能就要大停電了所以我剛剛一直講 一直講下來我們的污染增加了 空污增加了我們的電力
transcript.whisperx[119].start 4334.051
transcript.whisperx[119].end 4343.487
transcript.whisperx[119].text 沒有像總統講的那麼充裕電力顯然是不夠的部長 所以在空屋跟電力上面我們是要做一些想辦法解決問題
transcript.whisperx[120].start 4348.797
transcript.whisperx[120].end 4377.456
transcript.whisperx[120].text 可能委員說明其實整個年度我們如果從這個2016到現在所有的空污的問題台電其實是一直在做降低的動作包括剛才提到的台中的電廠南美的用電量南美的用量我們整個南美的發電量也都在降那剛才委員有提到10%其實台電對外已經一再的強調那是在日尖峰 夜尖峰它必須要超過7%所以你剛才提到所以總統叫我們隨時上去看
transcript.whisperx[121].start 4379.777
transcript.whisperx[121].end 4403.95
transcript.whisperx[121].text 是不是而且我講的不是只有晚上喔很多尖峰時間特別是那個太陽一下山的時候老實講現在幾乎是每天傍晚只要太陽一下山那個太陽能一下子不見了我們要配個容量車快速下降馬上喔馬上6月份下季馬上就來了對不對用電高峰就來了喔
transcript.whisperx[122].start 4405.211
transcript.whisperx[122].end 4429.017
transcript.whisperx[122].text 所以政府有責任你既然配了核電第一個空屋不要再增加因為我們廢發電影響我們健康第二個不要讓我們大停電喔電力一定是要過的總統講話已經被打臉了嘛對 數據非常清楚嘛空屋的情況台電一直都持續在降啦光是台中部分就是在降了昨天啊 傍晚你怎麼說那個時間昨天傍晚啊
transcript.whisperx[123].start 4431.606
transcript.whisperx[123].end 4456.831
transcript.whisperx[123].text 為6點就太陽大概差不多下山後沒多久6點50分一直到7點50分昨天的傍晚這個小時啊我們備載容量差不多都只有7%就是再降下去就是已經從黃燈黃燈就是已經吃緊了啊綠燈就是總統講的綠燈就是供應充裕對不對到了10%以下就是供電已經是吃緊了
transcript.whisperx[124].start 4458.732
transcript.whisperx[124].end 4474.844
transcript.whisperx[124].text 大部分時間在供應吃緊了到了下面就是集燈供電已經上有警戒了已經快到警戒的地方了昨天晚上有長達一個小時都只有7%是 都維持在葉建峰7%以上我給大家看一下那個空屋的統計齁
transcript.whisperx[125].start 4486.688
transcript.whisperx[125].end 4507.933
transcript.whisperx[125].text 這個是中興院的資料過去八年啊行政院跟政府一直講我們的空汙是這樣的可是呢過去八年我們的碳排增加了多少沒有少欸還反而增加了80萬噸這多嚴重的一個問題好
transcript.whisperx[126].start 4515.492
transcript.whisperx[126].end 4540.661
transcript.whisperx[126].text 我們請部長跟台電注意三個事情第一個 廢核517之後 我們電價 電力的成本已經變貴了不要隨便漲價從內部趕快去作為改革第二個 空氣污染變嚴重了第三個 電力的穩定度已經下降了
transcript.whisperx[127].start 4543.602
transcript.whisperx[127].end 4567.134
transcript.whisperx[127].text 請好好面對問題幫人民解決問題不要讓人民第一個用配發電而且電會是升高的謝謝好謝謝張祺凱委員的發言好接下來我們請林黛樺委員發言好有請國發會來請國發會高副主委
transcript.whisperx[128].start 4573.005
transcript.whisperx[128].end 4599.356
transcript.whisperx[128].text 好 班西想要來跟您討論這個生技產業它是我們策略產業5加2當中之一要去特別扶持的也期待它成為復國神山那當然我們現在正正是支持生醫產業成為兆元產業在今年2025年生測會年會我們賴總統有講了我們進入超高齡社會如何強化醫療跟科技
transcript.whisperx[129].start 4600.737
transcript.whisperx[129].end 4621.156
transcript.whisperx[129].text 來推動生醫產業希望能夠成為半導體之後的下一座護國城山而賴總統本身就是醫生總統治國總統醫生護民所以他特別對於健康政策無論是在提高癌症篩檢率建立百億癌症新藥基金三高房子888計畫
transcript.whisperx[130].start 4623.058
transcript.whisperx[130].end 4639.941
transcript.whisperx[130].text 或全民心理健康韌性甚至這個要大幅提高這個健保總額推動5年489億的健康台灣深耕其中我們的癌症篩檢率跟百億癌症新藥的基金就是跟精準醫療來高度的連結
transcript.whisperx[131].start 4640.882
transcript.whisperx[131].end 4666.772
transcript.whisperx[131].text 好 那這個精準醫療對於生技產業 既然生技產業是五加二之一那到底他的這個機會跟挑戰在哪裡呢這個挑戰台灣 爬出一下台灣的生技產業從食品的化學產業一直走到生技的藥品開發一直到今天 今日的細胞治療跟精準醫療生物科技業可能會試射人的生命 所以發展新產品
transcript.whisperx[132].start 4667.492
transcript.whisperx[132].end 4671.095
transcript.whisperx[132].text 跟藥品的時間壟長投資人期待獲利的時間也就長了而且同時也面臨法規資金人才技術的挑戰所以造成我國的生技業這個像你說的高獲利的同時卻害怕我這個失敗的高風險
transcript.whisperx[133].start 4688.63
transcript.whisperx[133].end 4708.134
transcript.whisperx[133].text 好但是那機會在哪裡呢這個研發重點是在於從廣泛人群的暢銷藥是供應者藥商的導向現在因為基因科學的進步不同的個體在基因層面上的差別性可比被凸顯所以在精準醫療的風潮之下製藥業者已經從大規模的生產暢銷藥的模式逐漸改變為開發針對特定使用群
transcript.whisperx[134].start 4715.495
transcript.whisperx[134].end 4739.823
transcript.whisperx[134].text 或是特定個人的個體的專用藥需求導向所以市場轉變從供應者導向到注重這個需求者導向也就是真的從我們的病人來出發了那這樣的話會有需要市場的變化需要什麼樣的這樣的專業來投入呢第一個基因和生物標記的研究第二個要加強檢測所以分子
transcript.whisperx[135].start 4742.445
transcript.whisperx[135].end 4752.499
transcript.whisperx[135].text 檢測包括本席一直倡議的基因檢測第三基因地區第三醫院第四科技業者這四個因為市場的轉變他們不能單一的獨立運作必須緊密的結合
transcript.whisperx[136].start 4758.567
transcript.whisperx[136].end 4776.244
transcript.whisperx[136].text 好那這樣的一個生技產業對於我病人需求者出發有什麼好處三個第一個檢驗時間變短第二個檢驗成本變低第三提供病患客製化的醫療服務什麼叫做檢驗時間變短我只要一個人體人類的一個基因定序
transcript.whisperx[137].start 4777.245
transcript.whisperx[137].end 4799.604
transcript.whisperx[137].text 一天一個人我這樣的一個基因體的整個全身上下的定序過往要十年啊才能完成人類基因定序啊現在基因定序加上鑑別式的AI我只要一個人八小時我就可以完成了檢驗成本變低了從過去每個人次數十萬降到三到五萬甚至目前我一萬塊起跳含檢測跟
transcript.whisperx[138].start 4801.025
transcript.whisperx[138].end 4820.592
transcript.whisperx[138].text 報告我們提供這個病患從病患的這個人體的這個基因地區當中去檢視了協助了醫生做什麼事可以從病人當中是不是有遺傳變異跟新陳代謝的關係或者識別染色體的疾病跟單基因疾病這種遺傳性或者是罕見疾病等
transcript.whisperx[139].start 4822.012
transcript.whisperx[139].end 4845.026
transcript.whisperx[139].text 都可以來做一個更好的研判那當然也可以提供預防性的這個基因的檢測跟預防醫學的使用所以重上生技產業發展的跨領域從剛才的跨單位誰要去執行那這跨領域的專業預防醫學基因檢測人工智慧這還有後續的醫療跟藥物的匹配
transcript.whisperx[140].start 4845.686
transcript.whisperx[140].end 4871.831
transcript.whisperx[140].text 好那國發會作為這個要輔導這樣的產業包括您現有的這個工具有什麼局限性呢生技產業屬於高風險高報酬的產業國內投資人對於這樣的投資高風險的產業他的專業知識是不足的所以傳統投資慣性是什麼還是要求他你一定要用有形資產但是生技產業他花了最多的錢就是在什麼研發
transcript.whisperx[141].start 4873.091
transcript.whisperx[141].end 4894.049
transcript.whisperx[141].text 創新智慧財產權許可證這種的無形資產它的價值認定就困難了所以呢但是呢現在講到你的國發基金你的這個投資的工具的你剛才有講到做策略性的投資好我們就來看這個策略性的投資你相較民間的投這個創投業者我只要投資成功率20%哇這已經創投界的明星了
transcript.whisperx[142].start 4897.371
transcript.whisperx[142].end 4912.342
transcript.whisperx[142].text 就是說我思考案件有兩個成功 上市上櫃 八個失敗哇 這已經是創投協的高手了但是國發基金是什麼 要要求每一個都要完美啊每一個投資案都不能失敗 容錯率很低啊原來期待國發經濟做我們中小企業的天使現在變成是我們國發經濟是民間創造什麼 追隨者
transcript.whisperx[143].start 4919.046
transcript.whisperx[143].end 4933.118
transcript.whisperx[143].text 導致你國發基金現在要策略主要目標福祉5加2多組新創跟中小型的企業都會被忽略掉所以生醫產業是具備高度的專業性跟法律規範就現行的這個工具生技產業無論在補助審查藥證核發投資輔導等都被特定的學法來壟斷而面臨跨領域跨學科跨專業的新型態的產業
transcript.whisperx[144].start 4946.889
transcript.whisperx[144].end 4949.634
transcript.whisperx[144].text 我們就缺乏了跨領域、跨專業的審查機制這就是你們的窘況對於生技產業的無形資產的價值的認定以及你們現在審查機制缺乏跨領域、跨專業
transcript.whisperx[145].start 4962.213
transcript.whisperx[145].end 4985.518
transcript.whisperx[145].text 那現在呢既然無形資產無法成為金融擔保品好那對於中小型的生技業者面臨的融資需求金融機構是不認列無形資產的但是生技產業多數的價值存在於研發創新智慧財產許可證這種無形的價值其實政府也有做一些事情啦他就真的是建立起無形資產的建價機制
transcript.whisperx[146].start 4986.778
transcript.whisperx[146].end 5013.392
transcript.whisperx[146].text 允許這樣的無形資產列在企業的財報上但是當這生技業者要去融資的時候不好意思那是你財報是你的事情擔保品我是不認的所以還是要求這樣的生技業者不動產價要提供不動產的價值啦擔保品成數與流通數啦在償債能力啦或應收賬款等有形價值所以至此無形價值無形資產價值就是參考而已好我幾以農業就好
transcript.whisperx[147].start 5015.533
transcript.whisperx[147].end 5039.645
transcript.whisperx[147].text 農業生技產的生技業者農金屬很棒喔他提出了一個叫農民組織及農企業產銷經營及研發創新代管做什麼事情補貼利息所以呢如果我這個農業金庫譬如說這樣的金融機的單位他當然要承受受限風險農業金庫要求農業生技業者說還是提供不動產做抵押
transcript.whisperx[148].start 5041.346
transcript.whisperx[148].end 5046.327
transcript.whisperx[148].text 而不接受農地產生技業者的研發專利無形資產來作為擔保可是他花最多精力 錢 時間就在研發專利所以這根本啊 繞道市場所以你這480幾億的先行希望呢 我們政府投資的部分所希望帶來的造業的產值那他這當中的民間的投資生技業者投入的時候你怎麼幫他解決問題啊 火災還是零啊所以這邊具體要求兩項
transcript.whisperx[149].start 5070.111
transcript.whisperx[149].end 5083.298
transcript.whisperx[149].text 第一個請國發會邀集財政部經濟部農業部對於無形資產的評價交易跟稅務的認定建立起完整的保證機制請公股銀行是對應財政部信保基金對應經濟部農業金庫對應農業部的調整
transcript.whisperx[150].start 5088.241
transcript.whisperx[150].end 5092.283
transcript.whisperx[150].text 這些單位的對無形資產的保證機制調整他們而且建立起這樣的機制之後調整各部會的作業規範將專利及無形資產給予保證以利生技產業資金融通第二個你的審查機制請國發會協調衛福經濟交通國科會等相關單位在相關的補助審查核定你們現在都採外部學者擔任審查委員
transcript.whisperx[151].start 5116.934
transcript.whisperx[151].end 5121.778
transcript.whisperx[151].text 但是本席認為不應該集中特定的學校跟學會我現在講的這個是可以說是犯全部了第一個參照經濟部技術師Aplus的科專審查計畫針對學者專家給予案件數的限制跟淪換
transcript.whisperx[152].start 5132.105
transcript.whisperx[152].end 5158.35
transcript.whisperx[152].text 第二個 平衡北 中 南 東等優秀學者進行遴選建立透明客觀的審查機制以遭公信您簡單回應 副主委有關於委員希望我們扮演協調的角色我想我們會召集相關部會來不過我可能要跟委員報告其實我們國發基金我們目前除了投資向台積電半導體外我們績效最為著重的就是我們早期投資的生技產業
transcript.whisperx[153].start 5159.23
transcript.whisperx[153].end 5171.166
transcript.whisperx[153].text 目前都已經有一些回收我們還要再更精進因為要不然480期一直在幹嘛的就是要再往更前端包括無形資產的部分你們要阻力謝謝
transcript.whisperx[154].start 5185.853
transcript.whisperx[154].end 5210.958
transcript.whisperx[154].text 謝謝主席我想請一下國發會高副主委還有我們經濟部的郭部長來請部長跟高副主委首先先請一下那個高副主委一下因為賴總統在520談話當中說提到要成立主權基金的部分我想請教一下那個國發會這邊看法是怎麼樣我先簡單講一下因為那個前央行的
transcript.whisperx[155].start 5213.837
transcript.whisperx[155].end 5233.632
transcript.whisperx[155].text 就是彭淮南那個總裁他有特別提到說他反對用外匯存底無償撥為主權基金的使用然後另外財政部跟央行他們都已經跳出來直接講說這個事情不歸他們管我想請教一下國發會對這部分的看法是怎麼樣
transcript.whisperx[156].start 5234.586
transcript.whisperx[156].end 5259.473
transcript.whisperx[156].text 我想基本上總統已經宣示我們要成立主權基金那院長也有在院會裡面在那個立法院質詢的時候也明白表示我們會成立專案所以就我們國發會我們作為行政團隊的議員我們當然就是尊重總統跟那個院長的指示所以總統在做這樣的一個宣示之前的時候有沒有跟國發會這邊溝通過我覺得有跟行政院相關的單位溝通過
transcript.whisperx[157].start 5260.874
transcript.whisperx[157].end 5267.803
transcript.whisperx[157].text 為什麼特別提到這個問題因為在113年12月13號的時候立法院曾經請國發會提出主權基金的一個規劃進度報告那麼在今年的1月15號國發會也回函了立法院你知道這件事情嗎
transcript.whisperx[158].start 5281.579
transcript.whisperx[158].end 5301.532
transcript.whisperx[158].text 就我所知我們曾經因為前你知道這件事情嗎 你知道今年1月15號國發會有回函立法院針對國發基金的一個資料我手上這一份非常的清楚國發基金還是對於那個主權基金 對主權基金的一個回覆
transcript.whisperx[159].start 5305.441
transcript.whisperx[159].end 5327.594
transcript.whisperx[159].text 你不知道是不是我直接跟你講在這份資料當中的時候那個國發會這邊很清楚的知道表示說他們邀集了央行主計總處財政部金管會勞動基金運用局公務員退府基金管理局共同討論得到的結論有四項
transcript.whisperx[160].start 5328.815
transcript.whisperx[160].end 5349.034
transcript.whisperx[160].text 有四項結論第一個說國內已經有類似主權基金的機制而且操作績效良好這第一點第二點的時候強調主權基金追求報酬極大化波動風險高第三個部分提到如果需要提高外匯投資比例可以請央行研議
transcript.whisperx[161].start 5350.475
transcript.whisperx[161].end 5372.326
transcript.whisperx[161].text 那麼第四個部分提到國發基金之中已經有類主權基金性質的台三公司正在進行全球策略的產業投資佈局所以結論的時候呢基本上國發會是不認為需要有主權基金的才四個月的時候竟然有發生這麼大的一個轉彎然後剛剛副主委所表示就是
transcript.whisperx[162].start 5373.567
transcript.whisperx[162].end 5401.168
transcript.whisperx[162].text 我們聽不出來總統要做這樣主權基金的宣示的時候有跟國發會這邊先討論過或諮詢過國發會的意思我跟委員報告說因為這是1月15號的所以1月15號我們發函的時候我們是根據我們過去所以四個月就出現了重大變化您聽我講完就是我們有就是爭據我們之前跟各個相關部會我們也討論的
transcript.whisperx[163].start 5403.349
transcript.whisperx[163].end 5426.822
transcript.whisperx[163].text 結論跟那個回覆這個然後我要 可以翻到那四個結論嗎第一個呢 的確 如果 因為整個國發會給立法院的報告很清楚的認為其實不太需要主權基金結果四個月的時候 你講說國發會今天找了這麼多的單位結果四個月之後的時候 總統就做了另外一個不一樣的宣告
transcript.whisperx[164].start 5427.202
transcript.whisperx[164].end 5451.89
transcript.whisperx[164].text 那我想特別問一下部分因為在這個時間點宣告的時候很多國人其實很擔心一件事情因為我們郭部長剛陪我們前國發會的時候我們的行政院秘書長去了美國參加他們SLAC USA的部分的時候那強調要讓美國再次的偉大所以大家擔心是不是主權基金這次的時候要把台灣一些相關的一個基金去重壓美國
transcript.whisperx[165].start 5453.977
transcript.whisperx[165].end 5469.917
transcript.whisperx[165].text 我覺得不能這樣說因為我剛才講到說我們其實主權基金有三個一個是策略性投資財務性投資或是MIX那的確我們說我們現行的有一些譬如說我們的財三啊國發啊或者是市場基金裡面也有一些
transcript.whisperx[166].start 5471.338
transcript.whisperx[166].end 5492.552
transcript.whisperx[166].text 策略財務型投資的那種性質所以我們就會回答說我們國內也有類似的因為你要回答因為我時間有限你如果覺得要針對1月15號你們給立法院的一個主權基金的一個回報要做一個法轄彎的時候你之後再來跟我做一個很詳細的一個說明好不好那因為針對這個部分
transcript.whisperx[167].start 5494.053
transcript.whisperx[167].end 5503.079
transcript.whisperx[167].text 很多國人很擔心這個主權基金是不是變成就像我們讓台積電到美國去就像我們在對等關稅當中的時候我們很快的在整個對美談判當中的時候很快的就貢獻出我們台灣的貢獻處為了要讓我們
transcript.whisperx[168].start 5510.965
transcript.whisperx[168].end 5533.28
transcript.whisperx[168].text 前國發會主委我們國民新秘書長說要讓美國再次偉大我們擔心我們的主權基金是不是要配合這件事情我覺得我們主權基金只有一個目的就是讓台灣的產業競爭力更加的強化所以在之後我們對於整個相關的法所以到時候我們主權基金會是國發會這邊在主管嗎我們要看
transcript.whisperx[169].start 5534.16
transcript.whisperx[169].end 5554.505
transcript.whisperx[169].text 行政院指定誰作為主管機關目前還沒有確定那這個問題剛丟出來我想說您這邊如果對於1月15號給立法院的資料跟你現在要再次對政府的一個政策做一個辯護的時候要怎麼樣轉彎你再跟本辦公室做一個很詳細的一個報告我們會跟委員仔細的解釋絕對不是法夾彎
transcript.whisperx[170].start 5555.785
transcript.whisperx[170].end 5583.684
transcript.whisperx[170].text 然後我這邊我要特別問一件事情就是說因為在這一次就是賴總統的這個一年的報告當中的時候整個市政滿意度當中的時候我發現經濟的議題當中是民眾非常的不滿意的包括TTBS民調當中的時候我對經濟發展跟能源政策其實在整個滿意度當中都非常非常的偏低那麼在進新聞的民調當中的時候呢就是對經濟滿意度的
transcript.whisperx[171].start 5586.085
transcript.whisperx[171].end 5604.531
transcript.whisperx[171].text 比例也是最低的在各項指標裡面最低那因為時間有限我想特別請教郭部長一下因為我們的那個核管法已經通過了那對於現在台電的用電情況因為新達電廠藍莓機組30號藍莓機組現在這個時間點還繼續在運轉當中對不對我請台電跟你說明一下
transcript.whisperx[172].start 5614.865
transcript.whisperx[172].end 5633.181
transcript.whisperx[172].text 興達其實他還沒有除役他去年9月就到期對不對我們送審他在嚴審中他嚴審中的時候呢可是基本上沒有被批准所以當時的時候提到一個狀態就是說當我們的備載電量在8%以下的時候他可以作為緊急使用是不是這個情況
transcript.whisperx[173].start 5634.362
transcript.whisperx[173].end 5662.531
transcript.whisperx[173].text 所以說現在我們的興達電廠30號藍莓酒現在我們在質詢這時間點它還在運作就表示我們現在的備載容量已經在8%左右或者低於8%的情況是這樣子嗎它是在之前我們前幾天預估夜間風有可能不到8%所以它必須運作那機組的特性你運作之後不能讓它上來就馬上停它必須要適用機組的特性讓它慢慢的去做適度的降載所以它必須
transcript.whisperx[174].start 5663.311
transcript.whisperx[174].end 5688.253
transcript.whisperx[174].text 所以這個地方就像我之前幾個禮拜我問到一個大林五號機組天然氣機組的時候也是已經除夜之後的時候現在變成緊急使用然後台電也在使用那現在興達電廠三四號燃煤機組我們這個時間點他還繼續在用然後已經到期了然後你們說你們要研議可是還沒有過的時候呢他現在用緊急使用的時候然後我們現在正在燒
transcript.whisperx[175].start 5690.467
transcript.whisperx[175].end 5711.805
transcript.whisperx[175].text 興達電廠30號燃煤機組那我這邊的時候我要特別跟郭部長這邊提到一個點你現在給我30秒鐘我做一個結論你超過5分鐘了針對這個我們就是核管法已經過了你之前的時候你有跟我提到說我們最快的時候如果行政部門配合跟我們要去訂製新的燃料棒的時候大概需要16到18個月對不對
transcript.whisperx[176].start 5714.247
transcript.whisperx[176].end 5739.815
transcript.whisperx[176].text 所以我在想說我們目前對於這個部分要怎麼樣的去讓台灣的電力其實能夠充足夠用因為德國去年比我們提早一年變成非核家園他們現在出現一個很清楚缺電跟電價高漲的情況他們也開始表示不反對法國他們要在歐盟當中把核能
transcript.whisperx[177].start 5741.365
transcript.whisperx[177].end 5758.516
transcript.whisperx[177].text 提為再生能源這樣的一個主張所以德國的態度也在做很清楚的改變好 那我們希望吼 國務部長這邊針對核管法通過之後我們之後經濟部這邊要怎麼去做我們的能源政策給本席一個很清楚的一個時間點的一個說明 好不好好 我們會參考大家的這個意見啦 請請謝謝好 謝謝我還是要懇請各位委員稍微遵守一下時間我都會給大家多幾分鐘吼 但是
transcript.whisperx[178].start 5772.281
transcript.whisperx[178].end 5790.209
transcript.whisperx[178].text 今天五分 她已經說十分我都會給你們說十分我都要十分 我才會站起來我自己說五分而已今天召委不是我 我是代理的來 請鄭天才委員發言
transcript.whisperx[179].start 5807.697
transcript.whisperx[179].end 5830.89
transcript.whisperx[179].text 主席有請這個國發會副主委來請高副主委副主委好這個0403地震是去年4月3號發生非常謝謝陳建仁院長到佐隆泰院長
transcript.whisperx[180].start 5832.148
transcript.whisperx[180].end 5857.151
transcript.whisperx[180].text 到交通部長多次的到這個花蓮實地的去視察但是呢經過了一年多這段時間呢斷斷續續都有一下子就中斷一下子就中斷北回鐵路啊從這個民國80年左右開始通車
transcript.whisperx[181].start 5859.734
transcript.whisperx[181].end 5888.208
transcript.whisperx[181].text 一直到現在只有0403地震當下都還安全的都沒有問題是後來的一陣特別多後來一陣特別多才造成現在一下大雨就中斷5月18號又嚴重的中斷真的是要感謝神沒有發生任何的人員的傷亡跟火車的這些
transcript.whisperx[182].start 5889.691
transcript.whisperx[182].end 5907.666
transcript.whisperx[182].text 都能夠及時的停下來所以這個是非常急迫的它除了鐵路之外也包含了蘇花公路所以這樣的一個情形一年多了這個計畫我也曾經這個質詢過國發會趕快去協調交通部行政院
transcript.whisperx[183].start 5918.474
transcript.whisperx[183].end 5942.194
transcript.whisperx[183].text 諮詢國發會當初彭副主委說好所以這個部分一直到上個月我也諮詢交通部對於這個0403台鐵宜花東地區鐵路設施改善計劃其實何人到何人到這個崇德才一點多公里1.6公里
transcript.whisperx[184].start 5945.031
transcript.whisperx[184].end 5969.203
transcript.whisperx[184].text 我們看這個到現在都還沒有都還在交通部喔這幾天啊 副主委這幾天會送到國發會請國發會把這個計畫趕快送到行政院我們跟原報告那個黃先生跟我說我們已經送到行政院了不是台鐵喔就是剛剛那個計畫你剛剛講的是蘇花安啊
transcript.whisperx[185].start 5972.672
transcript.whisperx[185].end 5988.584
transcript.whisperx[185].text 對 蘇花安你講的是蘇花安這個我每天都在掌控都在追蹤因為我當公務員當過管制考核的公務人員我們來看北迴鐵路北迴鐵路79.2公里5.7公里的新線然後20個大橋16座隧道設了14個站兩個月
transcript.whisperx[186].start 6001.574
transcript.whisperx[186].end 6022.503
transcript.whisperx[186].text 因為颱風謝東敏省主席去跟蔣經國院長報告之後馬上核定然後就動工非常非常快 六年就完工 這麼長的現在科技這麼發達真的是難以想像我們看蘇花安
transcript.whisperx[187].start 6026.597
transcript.whisperx[187].end 6052.538
transcript.whisperx[187].text 108年12月20號蔡政府時代做了可行性研究的核定一直到113年12月9號交通部把這個計畫送到行政院就剛這個有講了當初我也有諮詢過國發會趕快送去你們也很快的送去但是放在院長的桌上五個多月了
transcript.whisperx[188].start 6055.592
transcript.whisperx[188].end 6079.993
transcript.whisperx[188].text 所以这个部分真的要重视继续继续协调好不好我们就我们的执掌我们部分我们会来协助这个非常非常的重要因为台湾真的很小啊然后就这么一小段树花改的工程呢
transcript.whisperx[189].start 6081.824
transcript.whisperx[189].end 6107.855
transcript.whisperx[189].text 兩年了從可行性研究核定兩年就核定的這個新建計劃民國97年馬英九時代都會做比較人民會做比較所以好不好好何況這個書房是比較好做的是當初書花改是比較困難的好不好好是的好接下來這個
transcript.whisperx[190].start 6111.329
transcript.whisperx[190].end 6126.851
transcript.whisperx[190].text 演兵會的原住民族住宅四年三期計畫這114年到117年了我上次也有質詢了上次也有質詢這個就是為了因應什麼社會住宅
transcript.whisperx[191].start 6128.773
transcript.whisperx[191].end 6146.394
transcript.whisperx[191].text 住宅法第二條第四項規定的很清楚要興建裝工研駐營成出的社會住宅到現在都沒有啊105年12月23號修正的這個住宅法到現在都還沒有一個都沒有所以而現在這個
transcript.whisperx[192].start 6148.274
transcript.whisperx[192].end 6176.136
transcript.whisperx[192].text 都會區的差距非常大住宅的自由力所以大部分幾戶都是要承租了所以這樣的一個原住民人口已經達到在都會區51.57%了在這樣一個情形之下地方政府他也希望興建專攻原住民族的社會住宅要依住宅法但是就是沒有錢
transcript.whisperx[193].start 6177.964
transcript.whisperx[193].end 6201.891
transcript.whisperx[193].text 沒有錢在這樣的情形之下所以我上次質詢的時候希望能夠去修正這個3月19號質詢國發會你們那時候也同意同意修正這個原住民住宅的四年三期計劃你們同意所以現在時間很緊迫
transcript.whisperx[194].start 6205.749
transcript.whisperx[194].end 6233.716
transcript.whisperx[194].text 趕快 圓明會也送來了嗎?還沒有嗎?還沒有我們有協調圓明會去規劃這個修很容易啦因為原來已經有這個四年計畫嘛只是把這個社會住宅就是匡列多少錢就這樣而已嘛委員我們再去追蹤一下進度因為圓明會已經有很多經驗了其實最快的是什麼?我在當副主委的時候最快的是什麼?
transcript.whisperx[195].start 6235.25
transcript.whisperx[195].end 6255.987
transcript.whisperx[195].text 編一筆預算公務預算直接買啊直接買嘛集合民間的集合式住宅空的他剛蓋好的對不對也是促進啊對不對所以這個機會很容易如果是要架構那最容易連新建還要花很多時間反正現在空屋很多嘛對不對好謝謝謝謝委員
transcript.whisperx[196].start 6260.486
transcript.whisperx[196].end 6265.288
transcript.whisperx[196].text 好 謝謝鄭天才委員 那下一位請楊瓊英委員質詢謝謝主席 楊瓊英發言 邀請部長請部長委員早 部長好
transcript.whisperx[197].start 6290.918
transcript.whisperx[197].end 6305.363
transcript.whisperx[197].text 河山廠的二號機在17號的時候停役那台灣正式進入到了非核家園那我們也可以看到停役了之後呢那麼這幾天我們台中火力發電廠呈現了火力全開17號、18號晚上的中火機組都達到90%的運轉
transcript.whisperx[198].start 6312.284
transcript.whisperx[198].end 6327.109
transcript.whisperx[198].text 而且10部機當中有一部機睡休 剩下9部機是超運轉那台電呢一下子說火力全開是假訊息一下子說不是夜間多發 是日間減發我們很直接的看一下發電量的圖17號跟18號 19號都比去年同期增加大概1000至2000MW
transcript.whisperx[199].start 6341.073
transcript.whisperx[199].end 6342.555
transcript.whisperx[199].text 如果按照台電臉書上面所說的他沒有多發而且還說他是減罰
transcript.whisperx[200].start 6349.704
transcript.whisperx[200].end 6371.833
transcript.whisperx[200].text 但是同期是增加這麼多在這樣的一個情況之下台電到底是真的裝傻還是故意的呢為什麼不願承認中火的發電為什麼要欺騙我們的國人所以我更質疑的是說在台電一直說火力全開是在造謠
transcript.whisperx[201].start 6373.274
transcript.whisperx[201].end 6389.86
transcript.whisperx[201].text 但是我們強調中火10步機已經有超過6年它沒有10步全開 已經有超過了這是大家一直一直一直中央地方大家努力所以在10步機當中有9步火力全開這有什麼好得意的
transcript.whisperx[202].start 6394.212
transcript.whisperx[202].end 6395.333
transcript.whisperx[202].text 站在我們台中 站在我們皇屋的這個立場所以數字會說話5月17號、18號單日的中國藍莓量比去年同日多了0.85萬跟1萬噸的這個莓
transcript.whisperx[203].start 6412.372
transcript.whisperx[203].end 6424.449
transcript.whisperx[203].text 那連最基礎的數據都已經強烈的告訴我們我們還要硬拗嗎我們還要硬拗中火沒有增加發電我們還要硬拗沒有增加負擔
transcript.whisperx[204].start 6426.135
transcript.whisperx[204].end 6436
transcript.whisperx[204].text 台電到底把台中人的健康是當笑話嗎本席再給你一個背景也就是台電在一起的時候 燃氣機組的環評他承諾在非空無際的時候只開九步機所以換句話說台電現在能夠開的就是九步九步全開不是火力全開嗎還要硬拗這個嗎所以事實上我們看到目前為止
transcript.whisperx[205].start 6455.765
transcript.whisperx[205].end 6474.744
transcript.whisperx[205].text 台中的中火因為市府監督環保的限制我們大多運轉部長大概60%但是這幾天為了供電為了補上河山電力的一個缺口九部機組都要超運轉尤其到了晚上
transcript.whisperx[206].start 6475.925
transcript.whisperx[206].end 6495.751
transcript.whisperx[206].text 中國都是增加50%以上的發電量各機組的運轉都幾乎要超過90%一直開到半夜 您看看半夜的天空是如何一直開到半夜的凌晨就是展現這樣子的一個樣態所以本期要請教
transcript.whisperx[207].start 6499.048
transcript.whisperx[207].end 6513.772
transcript.whisperx[207].text 是不是因為預測到會加開這個火力所以過去我們在討論的時候中火機組爭議的時候政府不敢承諾逐年遞減 減煤的數字只有說到2031年才開始減煤但是 本席要說像這樣子 在這幾天中火超高的一個變轉量 燃煤量
transcript.whisperx[208].start 6529.668
transcript.whisperx[208].end 6542.063
transcript.whisperx[208].text 當然會加大我們台中的空污會傷害台中人的健康所以部長進入夏天這樣子的一個火力全開請問部長會是常態嗎會是常態嗎請問部長我請台電跟你回答一下
transcript.whisperx[209].start 6549.403
transcript.whisperx[209].end 6558.628
transcript.whisperx[209].text 是 跟委員再說明啦剛才委員其實有提到台電跟台中市政府配合的情況下請問 針對本席的提問像這樣的情況尤其在現在夏天火力全開這會是常態嗎當然不會是常態啊當然不會是常態 這是你應許的本來就不是常態的 不知道委員本來就不是常態 那為什麼要這樣子呢
transcript.whisperx[210].start 6575.816
transcript.whisperx[210].end 6603.038
transcript.whisperx[210].text 最近幾天其實是因為日間跟夜間的關係剛才委員也提到了日間其實太陽光鏡上來的時候其實我們就可以把南美的往下降那夜間如果太陽光鏡是消失的時候南美基礎最近幾天確實是因為有部分的基礎故障所以他才臨時性的把它往上調那但是總歸都會符合在剛才委員提到的我們跟事務的這個當時的承諾非空氣就是最多就只能你請回我再請部長
transcript.whisperx[211].start 6604.119
transcript.whisperx[211].end 6618.401
transcript.whisperx[211].text 部長 本席要請教一定要跟台電好好的來溝通不要只有用話術要欺騙民眾因為面對數字 面對真相
transcript.whisperx[212].start 6619.656
transcript.whisperx[212].end 6641.027
transcript.whisperx[212].text 要怎麼樣能夠去改革能源的配套不要火力全開因為這幾天的數字讓國人嚇一跳讓我們台中人很憂心很憂心剛剛台電回答是說不會是常態我再次請教珠島單位的經濟部長會不會是常態燒很多的煤會不會是常態請教部長
transcript.whisperx[213].start 6649.059
transcript.whisperx[213].end 6664.513
transcript.whisperx[213].text 我們會來跟台電好好的盤點就按照委員所關心的命題我們會努力你會願意跟台電好好的來盤點跟溝通本席具體強調這幾天的數字讓國人
transcript.whisperx[214].start 6669.082
transcript.whisperx[214].end 6676.105
transcript.whisperx[214].text 非常的緊張讓我們台中人中部地區非常的憂心非常的憂心因為我們強調不要火力全開而且我們強調燒很多的煤我們是拒絕的因為在我們的經濟委員會在任會裡頭藍綠白的委員大家共識決也就是今年的中國減煤量要達到100萬噸
transcript.whisperx[215].start 6697.853
transcript.whisperx[215].end 6700.555
transcript.whisperx[215].text 這是經過我們詳實的討論也出了我們的委員會也出了用會所以我在這邊還是要強烈的拜託部長一定要跟台電好好的溝通中火火力全開我們絕對拒絕中火要燒很多煤成為常態我們也絕對拒絕我們拒絕台中人用廢發電部長你的看法呢
transcript.whisperx[216].start 6729.505
transcript.whisperx[216].end 6753.438
transcript.whisperx[216].text 這個委員的這個指教我們都會留意的你會來留意會不會承諾他不是一個常態他不會燒很多煤請教部長那剛才我想我們台電專業的回答就是不會是常態不會是常態所以委員要相信我們專業一定要好好的去溝通一定要好好的溝通我們也會強力的來監督再請教
transcript.whisperx[217].start 6756.516
transcript.whisperx[217].end 6783.278
transcript.whisperx[217].text 我們增購美的天然氣因為部長在中遊在3月份的時候簽署了阿拉斯加的天然氣投資意向書那據報導美國的阿拉斯加州長他說12號他說台灣您向阿拉斯加採購600萬噸的天然氣因為本行非常的重視我們的能源配比到底要怎麼做才能夠真正的去
transcript.whisperx[218].start 6783.999
transcript.whisperx[218].end 6807.444
transcript.whisperx[218].text 火力不全開那所以我們繼續來討論也就是說他說這600萬噸呢大概是佔阿拉斯加這個液化天然氣管線計畫年產人的三成那對阿拉斯加來說 州長說他是佔了史上最大規模的這個天然氣的採購那請教部長 州長所說的是真的嗎是屬實嗎我還沒有說到這個報告
transcript.whisperx[219].start 6811.618
transcript.whisperx[219].end 6825.455
transcript.whisperx[219].text 你還沒收到這個報告可是州長在媒體上披露的那你這個到底怎麼回事啊為什麼這麼重大你還不知道部長這件事情嚴重哦州長已經這麼說12號今天已經22號
transcript.whisperx[220].start 6830.171
transcript.whisperx[220].end 6855.499
transcript.whisperx[220].text 那部長你說你不知道真的不知道嗎因為我上個禮拜都在美國真的不知道嗎我上個禮拜都在美國好你回答不知道那本席要請教那我們3月份中有所簽的因為您是坑頭整個能源的督導單位那您說這麼重大的竟然不知道州長12號都這麼說了你會去了解但是本席請教真正有沒有這樣的投資計畫有沒有有沒有這樣的投資計畫
transcript.whisperx[221].start 6860.12
transcript.whisperx[221].end 6872.831
transcript.whisperx[221].text 你說哪一個投資計畫阿拉斯加的這個投資計畫阿拉斯加是我們有簽了一個意向書那個意向書是我當場在場的那你在場你怎麼會不知道呢但是這個計畫裡面並沒有講說我跟他買600萬噸是沒有所以我們大家都是很想知道真正的
transcript.whisperx[222].start 6880.117
transcript.whisperx[222].end 6888.086
transcript.whisperx[222].text 我們是有投資的意願嘛這個是意向書嘛沒有具體的這個數字所以州長講的是不屬實的在你目前所得到的資訊我們並沒有承諾要買這600萬噸的天然氣是不是如此
transcript.whisperx[223].start 6904.011
transcript.whisperx[223].end 6931.265
transcript.whisperx[223].text 當然是沒有承諾的嘛是沒有承諾好所以繼續本席還要再請教最後一個議題也就是我們計畫要採購美國的油氣那本席也覺得也聽到您的論述就是說中油可以去購買美油然後我們再提煉完了再賣到菲律賓這一件這個計畫是有在進行中嗎報告委員我們本來就有在買美國的油啦對
transcript.whisperx[224].start 6932.943
transcript.whisperx[224].end 6942.478
transcript.whisperx[224].text 然後您說要這個煉製完我們再賣到菲律賓多元發展嘛 有這個計畫嘛是不是是不是 有沒有這個計畫 是
transcript.whisperx[225].start 6944.777
transcript.whisperx[225].end 6964.566
transcript.whisperx[225].text 這個是我們在討論的一個方向所以還沒有確定 還在評估當中這個公務機關還有不像民間啦 收到就可以做啦不是收到 公務機關要評估啊 有沒有在評估要送到大院啊 你們不同意我們也沒辦法說啊中油購買美油 然後提煉完賣到菲律賓這項計畫 本席請問有沒有這個計畫 有沒有評估
transcript.whisperx[226].start 6973.471
transcript.whisperx[226].end 6979.272
transcript.whisperx[226].text 現在目前是沒有這個計畫因為我們在訊息當中當然一定要問真正的這個主管機關單位才不會以而傳而這個就是本席所提問的目標謝謝所以有任何的訊息我們也希望可以得到真正的這個方向一起為我們的能源配備改革方案來努力
transcript.whisperx[227].start 6996.616
transcript.whisperx[227].end 7025.736
transcript.whisperx[227].text 那最後我給一個功課就是部長我一直在跟你討論的我們就希望說我們要解決台電的財務黑洞那我們的能源配比的方向所以包括本席剛剛提到阿拉斯加包括了這個美油購買的方向我想你也絞盡腦汁怎麼樣可以多元去發展我希望能夠在你們的評估效益當中能源配比的方案給本席一份資料
transcript.whisperx[228].start 7028.457
transcript.whisperx[228].end 7053.152
transcript.whisperx[228].text 這個多元的能源是我們的政策我們會找到能夠讓它的成本能夠不斷的降低這個才是我們努力的方向但是因為綠電是未來在整個世界上面對產業有十足的需求所以我們會用這個方向來努力各種
transcript.whisperx[229].start 7054.452
transcript.whisperx[229].end 7065.576
transcript.whisperx[229].text 各種多元 各種方向 這也是本席一直考慮很多次的能源的配比我們要怎麼樣去改革 去精進 去優化先把這說明給本席 謝謝謝謝楊瓊英委員那我們下一位請陳超明委員質詢
transcript.whisperx[230].start 7087.813
transcript.whisperx[230].end 7098.339
transcript.whisperx[230].text 主席好,首先邀請我們經濟部我們的郭部長,跟國發會我們的高副主委。國發會高副主委。委員好,部長好。外資團條文洋情報委員提問你台電的問題,你說叫我相信專業。
transcript.whisperx[231].start 7111.889
transcript.whisperx[231].end 7124.794
transcript.whisperx[231].text 但是在立法院幾十年裡面,台電本來本身就很專業,但是被政治化所影響,從電價一直起來起來,你不維持電價的上漲。
transcript.whisperx[232].start 7126.212
transcript.whisperx[232].end 7152.132
transcript.whisperx[232].text 你們要表示我執政我的意義,我不把電價上漲,表示我執政很強,但是其實裡面暗藏了很多先驚。所謂台電以前是讓人家結了非常相信的單位,現在講的話不一定相信。我不知道你自己有沒有感受,沒有感受,你體驗到的出現,你應該很了解啦。像你有人說一些白痴話,我們也聽不下去。
transcript.whisperx[233].start 7153.971
transcript.whisperx[233].end 7175.97
transcript.whisperx[233].text 第二點,談到中英跟阿拉斯加,我算數很夠,你說意向是但是無望不起啦,600萬噸要去採購,還有油管配備我們要跟日本、韓國結合在一起去投資你到美國不是談這個事情,你到美國是談我們如何投資美國
transcript.whisperx[234].start 7177.071
transcript.whisperx[234].end 7190.575
transcript.whisperx[234].text 你帶了一百多家的大企業在那邊,你是韜光臺灣,你還不承認我沒有意向啊?你人選了遠道開就很好,但心裡你在說老實話嘛,不可以這樣好來好去啦。回答一下,我不知道你聽得懂嗎?簡單的好。
transcript.whisperx[235].start 7197.182
transcript.whisperx[235].end 7204.909
transcript.whisperx[235].text 報告委員我們帶了138家的企業包括48家新創的企業去美國去參加比賽就是說我們帶48家新創的企業到美國投資美國我們是對新創的企業適不適合在世界的舞台裡面運作
transcript.whisperx[236].start 7218.321
transcript.whisperx[236].end 7225.725
transcript.whisperx[236].text 謝謝你的關心,我們這次10月8日裡面有三家獲得獎我們是在比賽裡面,我們是第二名沒有時間跟你說,你們的姿勢就是執政黨當時我站著頭又痛,這是第一點今天我們叫做解凍,凍結冰就是解凍但是保證,我現在有一個資料
transcript.whisperx[237].start 7244.304
transcript.whisperx[237].end 7270.687
transcript.whisperx[237].text 在我們委員會裡面,三減預算你經濟部本部才三減一百萬產化史、國貿史、中小企業史、智慧史、地礦中心三減預算是零商業發展史、水利史、標檢局、延期管理局、能源史三減預算是零
transcript.whisperx[238].start 7272.184
transcript.whisperx[238].end 7295.571
transcript.whisperx[238].text 這裡面有凍結到經濟部本部三十二億兩千一百二十萬凍結到產花時三千一百萬凍結到智慧財產前兩千五百萬商業發展時兩百萬水利時五百萬標準捷內級凍結一百萬能源級凍結一百萬你補充來你看
transcript.whisperx[239].start 7302.608
transcript.whisperx[239].end 7329.122
transcript.whisperx[239].text 說執政黨的委員對你好那無庸置疑他一定要支持你我們在野黨的委員這種預算哪裡是眷戀啊你知道立法院的形態主席最了解他們都很兇他說要改為動靜以前在宰預算的時候要講預算的時候來我今天要問你動靜跟山頂有什麼不同
transcript.whisperx[240].start 7334.408
transcript.whisperx[240].end 7343.513
transcript.whisperx[240].text 刪減就是直接把這個費用刪掉好啊 凍結是大家比我對這個問題還不瞭解我先把你凍結下來我們再來討論你再來報告我再跟你講一件事書面報告就是要這樣過的全套報告令人困難
transcript.whisperx[241].start 7355.001
transcript.whisperx[241].end 7362.612
transcript.whisperx[241].text 你們現在這個都是講假話你也有行政所長在大罷免案裡面喊話聽到頂真的是一片煩人不然你我怎麼這樣講我們看到很無奈
transcript.whisperx[242].start 7369.71
transcript.whisperx[242].end 7394.304
transcript.whisperx[242].text 你這個預算是刪減包括凍結最少你這樣說我聽好像我們在野黨在求你們執政黨你們的執政黨不要求在野黨就好但這事情要實在 要有良心現在大壩沒辦法如火如荼現在如果講到刪減預算的話就是抗中保台害台沒那麼嚴重
transcript.whisperx[243].start 7395.595
transcript.whisperx[243].end 7410.752
transcript.whisperx[243].text 大家都很善良為台灣這一塊土地你們是無謀不齊啦胡言亂語等於如果你們這個行政使館在上台講話的話你們就是屬於詐騙集團這次了情窮秋色
transcript.whisperx[244].start 7411.713
transcript.whisperx[244].end 7427.171
transcript.whisperx[244].text 我是沒有被罷免成功奧運生意苗栗宣經之所我是來支持我們那些被罷免的三十幾位立法委員國會議員遮緊你娘你的總統也遮緊你娘後來你就被罷免台語算不台
transcript.whisperx[245].start 7429.912
transcript.whisperx[245].end 7439.674
transcript.whisperx[245].text 這哪裡是民主的國家講了實在令人屈服還好你話講得少,我今天讓你過關你真的讓我抬頭說話才會跟你賭,表示你還有良心啦再來,我要跟你抱怨,這次強化經濟地方運送
transcript.whisperx[246].start 7451.383
transcript.whisperx[246].end 7471.481
transcript.whisperx[246].text 其實你不怎麼禁止,這是關稅,這是生意要發展,要保持台灣的產業機能你知道你再拖多少,放到國安會,你支持產業安定就業930億你政治部才拿了750億,還有
transcript.whisperx[247].start 7474.673
transcript.whisperx[247].end 7497.087
transcript.whisperx[247].text 六大面向還有農業三大面向一百八十一本來是要糾正一些不要讓經濟人家恐慌起來結果國土安全日益性一千五百億這個問題也敏感反對叫做什麼抗中保台賣台灣他們會這麼想我第一次把這個問題提出來強調昨天討論這個問題其實預算大家可以討論用在哪裡
transcript.whisperx[248].start 7505.35
transcript.whisperx[248].end 7533.188
transcript.whisperx[248].text 但是我看到執政黨的委員極力的在批評我們在那裡面怎麼要限制性的招標,難怪他們的壞你講人家壞事,我也懷疑你的壞事,大家不要破壞感情底下不要這樣,每一個人可以彈劾心胸來講話一講到美國不好,講到日本不好,就是賣台誰敢讓民主政治那樣在走我是在講出來
transcript.whisperx[249].start 7534.967
transcript.whisperx[249].end 7546.795
transcript.whisperx[249].text 還有我們國家的經濟政策,我希望在你手裡,你要有那種企業的眼光。現在要組織投資美國國家隊,我們總統出來說我們要組織AI國家的資金基金,我們的行政院長又提出AI的十大。
transcript.whisperx[250].start 7557.973
transcript.whisperx[250].end 7578.782
transcript.whisperx[250].text 對於它的十大基礎建設 哈利福哥這樣不知道要靠哪一邊但是部長 AI台灣跟MVRI合作起來還好有這個AI台灣的電子產業一片欣欣向榮真的天保佑台灣不然你現在要做什麼 平板電腦什麼電腦 它已經放棄在地
transcript.whisperx[251].start 7583.809
transcript.whisperx[251].end 7605.644
transcript.whisperx[251].text 所以這是台灣人的怕病,你把台積電創設計都不談這些,你有永遠記得嗎?你說我們AI邊緣的那個應用預算的時候,我們要台灣加強,我們要做到世界第三,你現在是AI資源基金,你是要拿來投資國外?
transcript.whisperx[252].start 7606.587
transcript.whisperx[252].end 7620.854
transcript.whisperx[252].text 我們台灣沒有港幣,錢也沒有多少,極盡的投資國外給別人利用,你為什麼不把這些錢用來台灣的AI邊緣預算,AI的基礎建設台灣最強,使盡求遠,外國生活好壞,外國人就更有公威,你應該把這個錢去爭取嘛,
transcript.whisperx[253].start 7629.332
transcript.whisperx[253].end 7639.01
transcript.whisperx[253].text 你不能搖頭你變成企業實際的在做變成一個政客了還欣賞你以為可以當政治家來講實話
transcript.whisperx[254].start 7641.465
transcript.whisperx[254].end 7660.781
transcript.whisperx[254].text 你跟你說你們的政策脫離中國我們要進入美國不然你把脫離中國看看我不是那樣的現在說起來那筆書又大大你仔細又看好喔說我在賣台我是要在台灣信我們要左右紅顏啦潘瑞丟到那裡看啦不可以這樣啦
transcript.whisperx[255].start 7662.142
transcript.whisperx[255].end 7663.303
transcript.whisperx[255].text 我們這個地方是完全大家的看法是一樣
transcript.whisperx[256].start 7683.982
transcript.whisperx[256].end 7702.33
transcript.whisperx[256].text AI的邊緣運算我們這個經濟部在我們的技術師跟我們的產發署大力發現在在培育AI邊緣運算的人才我們預定在4年裡面培養20萬的人才有人才才有辦法把產業發展起來
transcript.whisperx[257].start 7703.51
transcript.whisperx[257].end 7723.507
transcript.whisperx[257].text 其他的都是空虛的我就是讀過你要培養AI邊緣運算你要變成我們台灣在AI的軟體裡面變成第三強不敢跟美國爭啊 客氣一點啦但是這個事情要在這裡發揮 那是公本沒有你阿伯你會落後 我跟你說那阿伯是變得很快
transcript.whisperx[258].start 7725.556
transcript.whisperx[258].end 7730.28
transcript.whisperx[258].text 我不曉得中國大陸說這次有編這個預算在這個...好不好 我們真的你來跟台灣登馬步啦阿免說國防預算 不然我再跟你講幾句話大軍未動 兩朝先行
transcript.whisperx[259].start 7742.189
transcript.whisperx[259].end 7755.158
transcript.whisperx[259].text 這個糧草你現在台灣是靠AI這個產業去探險的喔 說得比他聽一千五百會防止中國大陸日軍能打掉 我完全支持那請凱特代理問答謝謝委員支持好不好 謝謝好好 謝謝陳曹明陳委員剛才你如果沒有這麼罵就讓你說你讓我拿菜
transcript.whisperx[260].start 7769.346
transcript.whisperx[260].end 7794.267
transcript.whisperx[260].text 好 那我們等一下謝一鳳委員諮詢完 我們休息五分鐘好 請謝一鳳委員諮詢謝謝主席 我想請國發會的高副主委跟郭部長來 請部長跟高副主委
transcript.whisperx[261].start 7797.376
transcript.whisperx[261].end 7817.122
transcript.whisperx[261].text 人家說這個主權基金的設立是從馬政府蔡政府到現在提出來你就歷經了這三個政府你對於主權基金的設立你有什麼了解為什麼從過去沒有辦法設立
transcript.whisperx[262].start 7817.964
transcript.whisperx[262].end 7842.885
transcript.whisperx[262].text 我覺得過去沒有辦法設立就是基本上社會上沒有一致的沒有共識就是大家對於主權設計的目的資金的來源這些沒有共識這樣子那現在呢已經有共識了有立法了嗎因為其實就目前我們面臨的國內外的經濟情勢來說應該現在是主權基金可以成立的一個應該是一個
transcript.whisperx[263].start 7845.034
transcript.whisperx[263].end 7863.09
transcript.whisperx[263].text 的時機啦因為我們對外其實我們知道我們面對美國的那個關稅的新政地緣政治風險的提高等等的然後其實國內也累積了我們有很好的我們有很好的財政的基礎我們也有豐厚的這個外匯存底
transcript.whisperx[264].start 7863.73
transcript.whisperx[264].end 7880.664
transcript.whisperx[264].text 我們某個程度上在這個時點我們覺得當然主權基金成立它有它的風險性可是就我們這些主客觀條件來評估的時候我們覺得我們現在是可以做主權基金成立的演繹這件事情但是
transcript.whisperx[265].start 7881.565
transcript.whisperx[265].end 7899.332
transcript.whisperx[265].text 央行即便他們現在不持反對的態度但是他們認為不應該無常的使用我們的外匯存訂那對於主權基金資金的相關來源我們現在目前行政院有什麼規劃
transcript.whisperx[266].start 7900.812
transcript.whisperx[266].end 7929.924
transcript.whisperx[266].text 我們現在還在研議當中他是說無償那某個程度上有償可能也是形態之一就是其他的國家也有用有償的方式來運用該國的外匯存底國務部長在你旁邊一直點頭你是不是有同意要投資他們報告委員我想我們在這個發展AI的這個過程裡面大家都知道就是說這個最大的市場是在美國
transcript.whisperx[267].start 7931.308
transcript.whisperx[267].end 7953.177
transcript.whisperx[267].text 那所以這個我們現在因為這個關稅的命題發生了以後我們大家也重新檢討一下我們發展的策略那麼AI我們在台灣我們在發展AI的邊緣應用那這個部分我們做很多但是在這個AI的所謂的發展跟AI的研究這個部分市場還是在美國
transcript.whisperx[268].start 7954.077
transcript.whisperx[268].end 7974.651
transcript.whisperx[268].text 那如果说我们今天在发展这个策业可以从开始就能够关注就能够投资我想对后面的这个加码会有很大的帮助所以我们认为这个AI主权基金的这个设立在当下来讲是非常正确的一个选择是AI主权基金还是主权基金
transcript.whisperx[269].start 7975.491
transcript.whisperx[269].end 7995.139
transcript.whisperx[269].text 過去因為我們現在主權基金其實是對台灣以外地區的投資台灣我們已經有現在的國發基金跟我們的台山這些基金都可以對台灣的這些創新的企業可以投資但是對他們是不能夠投資海外的
transcript.whisperx[270].start 7995.959
transcript.whisperx[270].end 8012.041
transcript.whisperx[270].text 因為我們現在發現市場大部分都在海外的幾個地區去發展所以對我們來講我們的企業有一些企業也會去加入到海外的市場所以我們會對他們來做一些投資我認為
transcript.whisperx[271].start 8014.27
transcript.whisperx[271].end 8042.556
transcript.whisperx[271].text 現在來設立這個國家主權基金是一個非常合適的這個時機但是過去沒有辦法設立就是第一個民眾對於這個主權基金的設立在投資部分大家怕如果給予政府一個授權的時候如果賠了咧如果發生弊案你怎麼防弊
transcript.whisperx[272].start 8043.556
transcript.whisperx[272].end 8069.294
transcript.whisperx[272].text 如果你就是大家也期待啊我们可以跟新加坡的主权基金一样可以赚钱啊但是新加坡的主权基金也有赔钱的时候啊全球的市场是怎么样的赔钱的时候他的经理人就要下来啊是不是那你怎么样子给民众一个监督的机会大家担心啊
transcript.whisperx[273].start 8070.407
transcript.whisperx[273].end 8072.569
transcript.whisperx[273].text 對不對 大家在想說要賺錢 結果錢沒賺到 心療疾耶是啦 我想這都是專業的問題啦 環境跟專業 能夠賺錢跟不賺錢那這個我想我們台灣這些專業的投資者 他們應該是經驗非常豐富啦
transcript.whisperx[274].start 8089.867
transcript.whisperx[274].end 8116.393
transcript.whisperx[274].text 所以我們在這個看以台灣現在的投資業者他們的專業的能力來講事實上他們都有很多人都參與世界的這個投資的機會我們會設立法定會有一些法令然後會來這個設定這個專法那麼有專責管理機構來明定它的各項包括設定的目的資金的來源完算治理跟監理的架構
transcript.whisperx[275].start 8117.994
transcript.whisperx[275].end 8126.747
transcript.whisperx[275].text 會來確保主權基金營運公開透明並符合政策目標所以我再問那個副主委喔我再問一下副主委
transcript.whisperx[276].start 8128.462
transcript.whisperx[276].end 8145.094
transcript.whisperx[276].text 副主委那未來到底主權基金的主管單位是誰對由行政院來決定你們還沒有確定是不是你們的討論裡面還沒有確定是不是央行已經認為不應該是他們所以是財政部還是你們國發會還是經濟部由行政院來決定
transcript.whisperx[277].start 8148.716
transcript.whisperx[277].end 8177.491
transcript.whisperx[277].text 經濟部想要不要行政院主管然後他們來指定對所以還沒確定是的那國發會會不會主動的爭取跨部會嗎你們要振興國內的產業是不是我想行政院會就各部會的執掌跟工人他選定最合適的主管機關那我們基本上就是遵從行政院的決定
transcript.whisperx[278].start 8178.598
transcript.whisperx[278].end 8203.295
transcript.whisperx[278].text 那如果獲利了咧要怎麼樣子分配你說獲利是不是所以很重要就是說我們必須要有一個法然後還要有一個專責獨立的專責機關我就是說確保之前我們大家認為主權基金有可能會產生的相關的一些弊病等等的就要在這個專法還有這個獨立的專責機關裡面這些機構所以是獨立的專責機關也許不在國發會
transcript.whisperx[279].start 8208.439
transcript.whisperx[279].end 8211.924
transcript.whisperx[279].text 也不在財政部 是不是就是說他也會有一個主管機關他會設立一個專責的管理的機構然後有一個專法
transcript.whisperx[280].start 8221.159
transcript.whisperx[280].end 8240.745
transcript.whisperx[280].text 來做相關的規範所以也不確定獲利會不會撥入例如像勞退就是勞工的退休金或者是可以固定的就是把所有的獲利還稅於零我覺得這些都可以在專法裡面去做討論是嗎 是的那我最後還有一個問題請教郭部長現在
transcript.whisperx[281].start 8243.803
transcript.whisperx[281].end 8269.492
transcript.whisperx[281].text 根據中央社的外電法國官員證實了德國的新內閣他們釋出的訊號他說歐盟不再反對將核能視同再生就是他們不再反對核能可以視同再生能源那所以在核能復興的趨勢以及投資能源產業的發展
transcript.whisperx[282].start 8271.684
transcript.whisperx[282].end 8298.513
transcript.whisperx[282].text 我們政府部門是不是還要堅持非核家園因為他們已經把它視為再生能源了是 報告委員我想中央社應該只是片面的了解啦歐盟並沒有發表證明說它是正確的我說德國的德國的那個新內閣這德國的建議是這樣子他們已經認為就是核能是歐盟並沒有確認
transcript.whisperx[283].start 8300.828
transcript.whisperx[283].end 8323.675
transcript.whisperx[283].text 那他們對於淨零碳排的這個就是影響我們等歐盟確認以後我們會納入我們的參考所以要等歐盟確認以後是不是大家只是提一個proposal不代表是已經確定的方式那如果歐盟確定核能是在深圳原的情況下我們會納入我們的參考納入參考會不會再堅持不用核能我們會納入參考經過評估以後再做決定
transcript.whisperx[284].start 8330.916
transcript.whisperx[284].end 8339.866
transcript.whisperx[284].text 好謝謝謝謝好謝謝謝一鳳委員那我們就先休息五分鐘
transcript.whisperx[285].start 8358.807
transcript.whisperx[285].end 8360.468
transcript.whisperx[285].text 今天一定要簽出去
transcript.whisperx[286].start 8388.137
transcript.whisperx[286].end 8393.121
transcript.whisperx[286].text 所以這個是已經確定 都剛好 因為我剛好 這樣就說好 全面的採訪 全面的採訪 全面的採訪 全面的採訪 全面的採訪
transcript.whisperx[287].start 8417.517
transcript.whisperx[287].end 8417.627
transcript.whisperx[287].text 謝謝大家
transcript.whisperx[288].start 8421.121
transcript.whisperx[288].end 8442.875
transcript.whisperx[288].text 1 2 3 就好你懂我意思嗎好 聽到後來我每個設定都標明一個是國際作法然後另外是國內國內的東西是被規劃的就是每次被行政局都提出不法進行所以我第一點我跟憲哥說然後他大概挺拳擊擊的對 自己好然後然後
transcript.whisperx[289].start 8448.779
transcript.whisperx[289].end 8459.967
transcript.whisperx[289].text 所以接下來國內就是說我國的設立我們應該要考量什麼然後我覺得那個設立目的要把我們總統說的那些不是我可能做的如果我撐一撐就做AI這些設立目的
transcript.whisperx[290].start 8471.275
transcript.whisperx[290].end 8487.682
transcript.whisperx[290].text 那另外如果用策略行動可以增加收入等等就是我把前面的說完說完反正都是國際股份那內股有設定問題上次那個股份內也有一面頭腦亂亂不行嗎第二個資金來源也是國際的國際理念就分國際大概是怎麼樣
transcript.whisperx[291].start 8498.986
transcript.whisperx[291].end 8505.355
transcript.whisperx[291].text 然後呢,他先幫你弄一個太陽鏡他是前頭髮的,你覺得髮型是他髮在的還是他外圍的,你懂我嗎?你知道嗎?不要亂講
transcript.whisperx[292].start 8515.789
transcript.whisperx[292].end 8524.191
transcript.whisperx[292].text 我是財政生意,這個要怎麼樣?這是國產,這是國產我國內的企業,是內業當中的然後我們的專業,這個是國產可是這個可能不相同,看起來不相同
transcript.whisperx[293].start 8545.606
transcript.whisperx[293].end 8545.646
transcript.whisperx[293].text 對 就是這邊
transcript.whisperx[294].start 8568.415
transcript.whisperx[294].end 8580.323
transcript.whisperx[294].text 這個就超我妹妹的去看確定地點對 等到裡面有一些東西然後要考慮什麼確定地點如果去跟妳說目的那我就是要看設計什麼然後直接就知道了
transcript.whisperx[295].start 8598.316
transcript.whisperx[295].end 8600.859
transcript.whisperx[295].text 好,我先上去,你放在我这边
transcript.whisperx[296].start 8613.012
transcript.whisperx[296].end 8613.112
transcript.whisperx[296].text 好嘞
transcript.whisperx[297].start 8646.713
transcript.whisperx[297].end 8647.573
transcript.whisperx[297].text 哦 冷凍起雲冷凍
transcript.whisperx[298].start 8661.578
transcript.whisperx[298].end 8673.087
transcript.whisperx[298].text 他前三晚才計算一個月還是昨天就明天送過去就開始送過去所以是昨天就算了還是明天會送明天才開始送各位
transcript.whisperx[299].start 8682
transcript.whisperx[299].end 8692.549
transcript.whisperx[299].text 那你們會在禮拜天再說不要急就算了那我們就可以七月到時候再處理六月我打給你們看六月就這樣會做到
transcript.whisperx[300].start 8715.177
transcript.whisperx[300].end 8715.537
transcript.whisperx[300].text 嗯嗯嗯
transcript.whisperx[301].start 8760.771
transcript.whisperx[301].end 8763.913
transcript.whisperx[301].text 好我們繼續開會那下一位質詢請賴瑞榮委員質詢
transcript.whisperx[302].start 8772.403
transcript.whisperx[302].end 8799.573
transcript.whisperx[302].text 好 謝昭偉 請郭部長跟高副主委好 請部長跟副主委好 先請教一下部長這個這陣子包括AI的投資包括黃雲勳 包括輝達跟AMD在台灣投資大家都相當關心那輝達也宣布他的總部設在台北這邊那因為高雄也有亞灣2.0 亞灣
transcript.whisperx[303].start 8802.534
transcript.whisperx[303].end 8826.188
transcript.whisperx[303].text 智慧科技創新園區的170億的一個投資那我想問一下部長在輝達跟AMD在高雄的投資這個部分有沒有想要更具體的一些進度報告委員我想這個輝達在高雄的投資我們可以看到他在最重要的這個智慧城市
transcript.whisperx[304].start 8829.48
transcript.whisperx[304].end 8844.067
transcript.whisperx[304].text 這個數位暖身用在這個智慧城市已經是非常成功的所以之前他的演講上面也特別介紹這一段那我們相信這樣的一個合作
transcript.whisperx[305].start 8845.219
transcript.whisperx[305].end 8866.848
transcript.whisperx[305].text 那麼在未來這個智慧城市會copy到全世界一些發展數位化的這個國家這是一個非常好的一個例子那我們當然也非常的我想高雄非常的這個榮幸能夠跟這個世界最強大的這個數位公司能夠做這樣的一個合作
transcript.whisperx[306].start 8867.768
transcript.whisperx[306].end 8886.105
transcript.whisperx[306].text 那第二个这个AMD在高雄来讲的话可以看得出来它在这个西光石上面事实上这个有非常大的一个投资跟这个发展我想这个代表全世界最关注AI的两大公司
transcript.whisperx[307].start 8887.133
transcript.whisperx[307].end 8913.445
transcript.whisperx[307].text 都有在高雄做一些深入的這些發展部長 勸一下AMD的這個研發中心跟辦公室的部分這個持續在推動當中嗎這個在進度當中那回答除了AI的算力中心超級算力中心以外另外像主權AI燈卡的計畫跟甚至於研發中心這個有朝這個方向在推動嗎現在這個NVIDIA在它的這個超級電腦這個台北ONE
transcript.whisperx[308].start 8915.766
transcript.whisperx[308].end 8940.675
transcript.whisperx[308].text 是在雅灣這個是確定的那它當然會繼續發展我相信這個高雄的雅灣那麼在整個世界上面會漸漸的展露出來我們在高雄在數位的研究跟人才的匯聚有一個非常重要的一些成績出來
transcript.whisperx[309].start 8941.035
transcript.whisperx[309].end 8963.175
transcript.whisperx[309].text 我們希望部長持續來協助坦白講這一次的總部沒有設在高雄高雄沒有入選其實我們是有一點失望的但是也希望將來的部分持續推因為亞灣2.0包括智慧科技參選區的投入在這個地方那還是需要更多的力道那當然台北跟高雄台北是佔有一些優勢那我們還是希望
transcript.whisperx[310].start 8963.775
transcript.whisperx[310].end 8988.977
transcript.whisperx[310].text 在部裡面在整個中央裡面還是能夠全力的來協助讓這些包含輝達、AMV包含幾個重要的這些AI的巨擘能夠順利的能夠在高雄持續的來推展好不好請部長再持續大力來協助我們現在看到這個輝達在選擇台北當然因為他過去在台北的這個研發大樓本來就在台北就已經有只是他是那個租賃的大樓
transcript.whisperx[311].start 8990.267
transcript.whisperx[311].end 9010.716
transcript.whisperx[311].text 那他現在這個自己來購買土地來興建符合他未來發展的這樣的一個道路我想這個是當然基於這個現實的考量他已經有好幾千人在台北上千人在台北這些人要移動到高雄其實他也在困難但是我們發現在未來最重要的
transcript.whisperx[312].start 9011.667
transcript.whisperx[312].end 9026.615
transcript.whisperx[312].text 他的應用其實是在高雄的這一點我想委員你可以放任所以我也希望部長再大力的來寫書特別是智慧這一塊有很多在跟一些基礎產業甚至新興的一些產業的合作上面高雄具有相當多的一些優勢
transcript.whisperx[313].start 9027.435
transcript.whisperx[313].end 9041.361
transcript.whisperx[313].text 我們現在經濟部我們技術師也是重兵在高雄我們的基礎中心在高雄我們是大力的在推動AI的應用
transcript.whisperx[314].start 9042.762
transcript.whisperx[314].end 9059.085
transcript.whisperx[314].text 所以他們這個金融中心在高雄是這個著墨的非常的深啊所以這是不是固定每三個月還是給我一份你們最新的一些狀況讓我知道了好不好就是你們推動的一些狀況讓我知道一下好不好就是整個對於整個產業的一些推動是的這個我們可以
transcript.whisperx[315].start 9060.046
transcript.whisperx[315].end 9080.276
transcript.whisperx[315].text 那另外是機器人其實也是現在黃雲信也提到未來的一個經濟的一個核心那我還是希望這一塊但是我們現在看到這個包括國科會經濟部門國發基金的機器人的500億的這個計畫看起來多數其實我們希望未來跟高雄台南之間有更多的一些連結
transcript.whisperx[316].start 9081.577
transcript.whisperx[316].end 9102.739
transcript.whisperx[316].text 台南看起來有在但是因為高雄台南之間距離相當近我們現在想做更多的連結這個硬體的部分可能是在台南但是軟體的部分這個深層式AI的所有的訓練可能是在高雄所以我們希望這個連結上再更加的強化這個連結是非常重要的請部長跟主委那邊
transcript.whisperx[317].start 9103.76
transcript.whisperx[317].end 9115.518
transcript.whisperx[317].text 那再來我想請教一下啦其實大家今天談到主權基金的部分我是不是也問一下先問一下高副主委好不好主權基金的部分總統提出來他的裁員的部分從哪裡來這個確定了嗎還在討論當中有可能哪些方向
transcript.whisperx[318].start 9120.127
transcript.whisperx[318].end 9143.175
transcript.whisperx[318].text 如果根據國際的話他有可能會來自外匯存底有可能在財政盈餘然後有些國家如果有特殊的生產資源就有原油啊等等的收入都有可能所以這幾個都有可能來跟各部會結局後討論最後一個大概不太因為我們沒有產時我們有特殊的自然資源的收益啊所以可能就是財財政盈餘或者是
transcript.whisperx[319].start 9144.095
transcript.whisperx[319].end 9169.175
transcript.whisperx[319].text 因為全世界各國採用的方式都不太一樣但是不拖你剛剛講的這幾個方法那當然內部會去做討論因為總統有宣誓我想內部會做討論那不排除各種可能性所以也不是哪一位部會首長或哪一位或者是總裁說了就算了其實在恐怕還是要整體國家來整體思考那另外請教一下它的額度未來會是拉到什麼樣的規模有初步的想法嗎這個額度也是在討論也是在討論中
transcript.whisperx[320].start 9170.626
transcript.whisperx[320].end 9194.922
transcript.whisperx[320].text 好 那另外將來會制定一個條例吧 會有一個法律的依據我們目前根據大家有比較有的共識就是會用專法專法來做專責管理機構的方式專法跟專責 那專責機構剛剛大家討論很多現在還沒有確定是哪個機構嘛對不對應該是說會有主管機關可是這個主管機關到時候會成立一個主權基金的專責管理機構
transcript.whisperx[321].start 9196.933
transcript.whisperx[321].end 9223.376
transcript.whisperx[321].text 對 但是這個法會是由哪個部會來主席那當然就是由主責機關來負責所以都有可能啦不管是國發會或者是經濟部都有可能嘛對 主責機關來制定專法跟組建專責機構好 那它未來跟組員基金跟國發基金應該會有一些不同的區隔嘛國發基金應該比較屬於是內兩個同時間都還是會存在嘛是的所以應該一個主要是對內一個是對外的部分啦
transcript.whisperx[322].start 9224.485
transcript.whisperx[322].end 9237.382
transcript.whisperx[322].text 就是也很難說是對內或對外就是他會有他的定位啦這樣子所以不會是將來兩個基金做整併而是會不會是單獨去成立的因為我覺得總統在他的他520的那個
transcript.whisperx[323].start 9239.284
transcript.whisperx[323].end 9256.667
transcript.whisperx[323].text 它已經說明這兩個應該是並行的好 我們也期待未來主權基金能夠扮演讓台灣的整個國家的影響力跟我們的佈局甚至產業的升級甚至於整個跟世界各國友邦的好的互動能夠達到更好的一個效果好 謝謝部長謝謝賴瑞榮委員那下一位請陳廷飛委員質詢
transcript.whisperx[324].start 9273.939
transcript.whisperx[324].end 9275.142
transcript.whisperx[324].text 謝謝我們請經濟部跟國發會好經濟部跟國發會謝謝
transcript.whisperx[325].start 9288.171
transcript.whisperx[325].end 9317.037
transcript.whisperx[325].text 委員好部長好部長我想讓你看一個資料這是我們113年度預算的主決議的提案就是我們在預算當中當時候的主決議非常清楚由我們的立法院經濟委員會通過當時候有做了這個決議說在尚未完成前兩項的要求前能源署不得核發申罷的
transcript.whisperx[326].start 9317.617
transcript.whisperx[326].end 9317.637
transcript.whisperx[326].text 電業執照
transcript.whisperx[327].start 9337.121
transcript.whisperx[327].end 9352.388
transcript.whisperx[327].text 我先不說 申辦一期的回饋金目前到底怎麼了先不要管這個了要談到這個可能又會氣很多但是我先了解
transcript.whisperx[328].start 9353.268
transcript.whisperx[328].end 9374.335
transcript.whisperx[328].text 能源署的部分你們常在說一起的回饋金基本上是依照一起還平這個要我們的環境部好環境部的問題我不問你我現在只有問我們能源署的部分能源署在尚未完成前兩項的要求點不得核發電業執照第一項
transcript.whisperx[329].start 9377.267
transcript.whisperx[329].end 9385.558
transcript.whisperx[329].text 第一項是什麼我們先看一下第一項就是要求回饋金與電協金應秉持促進電力發展營運提升發電輸電及偏電設施周邊地區發展及居民福祉為目的有關
transcript.whisperx[330].start 9395.111
transcript.whisperx[330].end 9411.26
transcript.whisperx[330].text 申辦一期回饋金為依書面規定撥付事宜請能源署依電協經管理辦法規定要求申辦電廠撥補108年至112年電協經的部分113年以後的電協經也要依電協經管理辦法規定辦理這是一期的部分那請問這要求有到位了嗎
transcript.whisperx[331].start 9422.878
transcript.whisperx[331].end 9450.229
transcript.whisperx[331].text 邦委員我請能源署來回答報告那個森霸他並沒有規定來依規定來繳交這個電協金那所以我們已經有通知他要一線來繳交那麼他的金額是在委員我們就算過大概3億7千萬那這是一第二因為他沒有照規定那我們另外也額外有罰款100萬
transcript.whisperx[332].start 9451.87
transcript.whisperx[332].end 9476.663
transcript.whisperx[332].text 那當然森巴目前他是不符這一個我們的處分那正在跟我們溯院當中那麼跟委員報告就是說這個我們未來會依這個溯院的決定來要求他如果他還是不繳的話我們依我們電驗法的規定會持續來加重處罰也就是說我們會一百萬、兩百萬、三百萬這樣子一直去處罰 署長這個是一起喔
transcript.whisperx[333].start 9480.168
transcript.whisperx[333].end 9502.966
transcript.whisperx[333].text 二期你們現在已經過了對不對他都沒有達到我們的要求你就過了已經違反了我們的主決議號二期的部分是明年回饋金是明年對不對他以前年度他的整個獲益所得來計算他的一個回饋金所以二期回饋金都還沒有講到喔
transcript.whisperx[334].start 9508.57
transcript.whisperx[334].end 9526.011
transcript.whisperx[334].text 還沒有繳 對不對 要明年喔所以現在只能講一期 申辦一期的回饋金申辦一期回饋金很清楚 我們已經有我們的電業法之後 我們都有要求到底要怎麼繳交 它從來沒繳交過
transcript.whisperx[335].start 9529.695
transcript.whisperx[335].end 9550.39
transcript.whisperx[335].text 從來沒繳交過所以3.7億我要再次強調這是一期我覺得不要把他搞亂一期3.7億二期你們現在他一期都還沒繳進來你們又核准他了這就是我要講的你們已經違反主決議了在第二個部分第二個要求382期現在
transcript.whisperx[336].start 9554.858
transcript.whisperx[336].end 9583.177
transcript.whisperx[336].text 已經通過了跟我們當時候主角不一樣 主角一直說他在試運轉喔好他在試運轉的部分已經造成民眾對安全的擔憂 因為他是二期的管線沿用一期的管線我們也只有要求你要要求申辦應該提出試運轉檢測資料 這個要提出沒有問題我們也要求你要把未來
transcript.whisperx[337].start 9584.518
transcript.whisperx[337].end 9601.829
transcript.whisperx[337].text 過去沒有問題不代表未來沒有問題未來他如何公正公平公開能夠讓大家知道他的公共安全管線的資料就這個部分他也做不到他也做不到
transcript.whisperx[338].start 9602.788
transcript.whisperx[338].end 9621.617
transcript.whisperx[338].text 是 這樣分成兩個部分就是他的管線安全那麼他有提供資料那也請第三方公證機構來看過這是過去嗎 我現在沒有跟你講過去那他現在委員關心的是說那他未來40年是不是能夠也保證安全
transcript.whisperx[339].start 9622.197
transcript.whisperx[339].end 9649.027
transcript.whisperx[339].text 那这一部分就是说我们是靠未来的监测机制好这个监测机制在哪里吗我只要求说你应该让地方能够参与让地方知道我的管线有没有问题他经过永康新市新化到山上这路径多长啊这是应该的这是人民的权益而且申办
transcript.whisperx[340].start 9650.067
transcript.whisperx[340].end 9676.073
transcript.whisperx[340].text 他的所有管線他的圖資都不完整都不完整這20年前的資料圖資都不完整你要叫人民怎麼信心能夠相信他的管線沒有問題當然你們現在有學者專家願意被他背書可是請問我人民總有權去要求未來吧
transcript.whisperx[341].start 9676.678
transcript.whisperx[341].end 9703.19
transcript.whisperx[341].text 是這是應該的那所以我們有叫這個森巴他要把他的這個現在的資料放在網站上他有放在網站上那未來他會持續做監測你監測系統都不在了請問這些網站都是吃一些資料而已你應該把你的網站安全的監測在哪裡在永康設一點新市設一點
transcript.whisperx[342].start 9704.23
transcript.whisperx[342].end 9713.121
transcript.whisperx[342].text 然後山上設一點 新化設一點那麼所有的李明 民眾 就得知道這些資料就是從這邊跑出來的是應該是這樣做啊 並沒有欸你們都完全 申辦怎麼講 你們就怎麼做
transcript.whisperx[343].start 9720.951
transcript.whisperx[343].end 9730.196
transcript.whisperx[343].text 沒有啦 我們有第三方 剛才報告第三方的認證機構不是第三方認證機構 第三方認證是之前不代表未來 未來要公開透明民眾只是要求這個樣子有很困難嗎沒有 這是應該做的是啊 可是你們並沒有要求他啊你們還是讓他過啦
transcript.whisperx[344].start 9744.362
transcript.whisperx[344].end 9769.209
transcript.whisperx[344].text 因為他未來的監測你多久要把這些監測在哪裡永康設一點 新市設一點 新化設一點 山上設一點你把它很清楚透明我們的監測系統在哪裡然後公開在網站當中就是這些監測的單位監測的地方所發出來的資料
transcript.whisperx[345].start 9770.329
transcript.whisperx[345].end 9791.192
transcript.whisperx[345].text 這樣不是就很好了嗎那我們的里長都可以來看地方議員也可以來看那是不是安全上彼此就有一些約束力是不是如此委員 這個要求是合理的那所以我們有要求他未來要把所有的監測資料包括巡檢的資料要PO在網站上
transcript.whisperx[346].start 9793.13
transcript.whisperx[346].end 9815.497
transcript.whisperx[346].text 署長我要點 永康設在哪裡 新市設在哪裡 新化設在哪裡你沒有這些監測點 請問你這些資料怎麼跑出來的 誰知道是 是 他有這些監測點 那我可以提供給你監測點在哪裡 多久要給我們 讓所有的民眾來知道我的監測點在哪裡
transcript.whisperx[347].start 9816.917
transcript.whisperx[347].end 9834.139
transcript.whisperx[347].text 可以 我們大概一禮拜我們提供這個資料就他的監測點包括他未來的監測機制是什麼那他要定期把他監測的結果來告訴民眾一個禮拜喔我們會要求他來做 沒問題
transcript.whisperx[348].start 9835.2
transcript.whisperx[348].end 9853.251
transcript.whisperx[348].text 地下管線 署長地下管線不能開玩笑啦是是他只要一個氣爆 整個都沒了整個都沒了 署長一個禮拜喔我等你給我這些監測的地方然後他的監測系統怎麼公開透明
transcript.whisperx[349].start 9854.351
transcript.whisperx[349].end 9873.083
transcript.whisperx[349].text 這個部分再拜託然後3.7億一期的回饋金到底什麼時候要入到我們市庫市庫喔 因為這回饋金是給地方的對不對 要給我們市庫 你要追啊沒錯 申辦有律師團啊哪知道我們又過輸啦 我跟你說我們八包起來放啦
transcript.whisperx[350].start 9881.957
transcript.whisperx[350].end 9894.426
transcript.whisperx[350].text 我們有信心才會做這樣的處分所以要多久趕快入我們的事庫這個也要給我們一個時間表這個部分很重要我們再拜託我們的國發會
transcript.whisperx[351].start 9898.206
transcript.whisperx[351].end 9916.617
transcript.whisperx[351].text 我們要拜託我們當時候經濟委員會下去考察所有唐鐵五分車狼帶創生計畫對不對副主委我要拜託你要怎麼樣請台唐市政府哪一個單位趕快提出這個創生計畫這個狼帶創生太美了
transcript.whisperx[352].start 9921.874
transcript.whisperx[352].end 9946.329
transcript.whisperx[352].text 如果它真的可以完成的話我相信這個部分才是我們西北能夠對這個企業變成是我們的期待跟願望的一個機會人家說對我們的後面變成前途好 所以這個部分多久我們這個副主委是這個唐鐵五分車人大創新計畫多久
transcript.whisperx[353].start 9950.083
transcript.whisperx[353].end 9973.737
transcript.whisperx[353].text 我們要跟地方協調哪一個單位要出來台堂還有市府到底要是從文化部文化局或是我們經發局來提出這個部分多久要把它溝通出來我想我針對委員體這個案子我們會跟市政府還有中央的話大概是經濟部的相關的機關我們來討論一下再給委員回覆一個月好不好
transcript.whisperx[354].start 9974.637
transcript.whisperx[354].end 10001.892
transcript.whisperx[354].text 我們下個禮拜會再從市政府跟我們台堂去針對這幾個問題我們有提出幾個問題就是包括它的斷點要怎麼找替代道路還有我們所有謝嚴台的整個文化部的一個登錄還有相關的這個設置平交道要怎麼連接的部分還有我們所有地方的這些階段的部分
transcript.whisperx[355].start 10003.311
transcript.whisperx[355].end 10024.562
transcript.whisperx[355].text 其實不是問題啦我們都有去看都不是問題只是這小問題我們要怎麼約市府跟台黨把它做一個串聯那但是這個創生計畫狼帶創生計畫一個月提出來看哪一個單位要主責趕快提出來我們是不是先開會先調完我們再給委員答覆好謝謝
transcript.whisperx[356].start 10034.688
transcript.whisperx[356].end 10061.083
transcript.whisperx[356].text 好 謝謝陳廷輝委員那下一位請邱志偉委員質詢謝謝主席 是不是請國會高副主委以及經濟部郭部長請高副主委跟郭部長
transcript.whisperx[357].start 10065.981
transcript.whisperx[357].end 10085.176
transcript.whisperx[357].text 國發基金的效能跟資源分配我一直在關心國發基金可以改成北台灣發展基金那麼多的基金項目投資的這些企業或者天使創業投資經濟委員會四個高雄立委
transcript.whisperx[358].start 10089.5
transcript.whisperx[358].end 10113.626
transcript.whisperx[358].text 台南一位嘉義住在上面中南部的都是經濟委員會主要成員你看你國際基金投資的縣市比例全部都向北升低降百分之87中部寥寥可數3.36南部加起來也只過5.45
transcript.whisperx[359].start 10117.462
transcript.whisperx[359].end 10120.336
transcript.whisperx[359].text 這樣是不是可以改名叫這個北台灣發展基金
transcript.whisperx[360].start 10122.092
transcript.whisperx[360].end 10146.74
transcript.whisperx[360].text 委員其實我們也有發現到也有就是有點重北輕南這是過去16個月的統計啊所以我們原來也知道我們原來在創業天使的投資方案我們原來是準備在1月21號有一個南部服務是啦我知道啦但是因為你的預算被凍結所以沒辦法解凍之後你們趕快去成立但是不是一個人的編制喔
transcript.whisperx[361].start 10147.08
transcript.whisperx[361].end 10173.719
transcript.whisperx[361].text 當然當然不是一個人編制不是創投工會派一個人去那邊是你要背一格喔不會不會我是希望你國發基金撥一半人力成立辦公室或者國發基金全部移到高雄去恐怕因為我們國發基金只有二十幾個人三十幾位我們真正就是大概只有大概其他就是我們正式的你要拿出決心啦一撥一半人力去我想人不是很重要就是工人要發揮才是更重要人為什麼不重要
transcript.whisperx[362].start 10174.861
transcript.whisperx[362].end 10189.421
transcript.whisperx[362].text 執密 副執密 組長全部都在台北你請創投工會 委託創投工會去那邊設立 派一個人去找一個辦公室 坐一個人的椅子你就知道你有服務嗎不會 我們一定會我是希望說啊我不要用決議
transcript.whisperx[363].start 10190.723
transcript.whisperx[363].end 10207.719
transcript.whisperx[363].text 我不用附帶舉意我會要求你國發基金啊你要拿出具體的做法不是光說不練你看這數據多多 我要怎麼對這個南部對高雄 對台南 對嘉義的這些新創這些年輕人我怎麼交代高雄市兩家而已你過去16個月核准了51家
transcript.whisperx[364].start 10213.649
transcript.whisperx[364].end 10218.376
transcript.whisperx[364].text 全部在中北部 全部在北部高雄只有兩家 加起來1100萬
transcript.whisperx[365].start 10222.368
transcript.whisperx[365].end 10246.55
transcript.whisperx[365].text 其實我們除了創業天使以外我們還有其他的所有投資做的重整不是創業天使而已你看這個表是所有你們投資方案所以我們接下來我們也會責成各部會匡列的這些基金也要重視南部南部的這些新狀你這樣講他們好好好重視我數字給你看嘛有沒有成果數字會說話
transcript.whisperx[366].start 10248.038
transcript.whisperx[366].end 10269.335
transcript.whisperx[366].text 所以我希望啊你們最好是國發基金掉落一半的能力到高雄成立辦公室我們還有男伴嘛如果解凍之後我覺得這個辦公室水沒問題能力也沒問題啊你要拿出決心來你看新莊那麼多全部都在在北部資源相對比較多你從事的管道比較多資源比較豐富你還全部放在
transcript.whisperx[367].start 10271.986
transcript.whisperx[367].end 10298.48
transcript.whisperx[367].text 換寡也換不均啦 不均也換不公平我們一定會讓人部的服務中心發揮他應有的功能你現在目前規劃是派一位創投工會的人去喔我們應該不是喔我了解是這樣 我比你更清楚啦 郭副主委新創啊 需要福祉新創需要法律來支援產創條例在我剛剛召委的時候通過 對不對我雖不滿意 但是還有精進空間
transcript.whisperx[368].start 10300.472
transcript.whisperx[368].end 10328.442
transcript.whisperx[368].text 包括有更多 包括這個部分是應該是經濟部的業務的船上鐵路我希望說能夠有更多的這個優惠包括租稅穿透率 適用的門檻這需要跟財政部結合這個處理另外企業購併新創能不能納入投資底檢這個也應該給他一些輔導所以你那個新創的這個投資人越來越少因為你沒有給他這個土壤你沒有給他環境 他就不會投入新創嘛
transcript.whisperx[369].start 10329.382
transcript.whisperx[369].end 10346.865
transcript.whisperx[369].text 這次產創條例裡面也有這次產創條例裡面也有對新創有一些這次不是我修法 是我通過的嘛二讀發言只有我在嘛這個法律是我主審的所以我希望我下回期我再重新針對產創條例不足的部分 我再重新體驗
transcript.whisperx[370].start 10348.327
transcript.whisperx[370].end 10359.917
transcript.whisperx[370].text 包括我剛剛說的租稅穿透率適用門檻新創年限的定義要再調整所得額的抵檢優惠對象跟上限也要做調整這一點 國務長您支持嗎支持 好
transcript.whisperx[371].start 10364.434
transcript.whisperx[371].end 10393.308
transcript.whisperx[371].text 部長支持 因為這個法案是在經濟部主導我希望到時候跨部會協調包括財政部 包括國會都要充分支持我們讓下一步的 下一會期的修法讓廠商條例能夠更完整提供新創產業更完整 更優質的一個投資環境是的 我們全力支持這第一趴第二趴這個海水淡化廠很重要大部分是離島
transcript.whisperx[372].start 10395.046
transcript.whisperx[372].end 10422.399
transcript.whisperx[372].text 那現在這個新竹跟高雄新竹跟台南因為這個台南園區高科技的需求所以需要用這個海淡廠海淡廠我曾經在蔡英文總統時代把台中臨時海淡廠把他設備遷到新達電廠鐵電新達電廠隔壁做一個臨時海淡廠的一個一個一個處所他提供的這個水啊
transcript.whisperx[373].start 10424.965
transcript.whisperx[373].end 10451.465
transcript.whisperx[373].text 這個海水淡化水我喝過可以喝它可以提供民生醫用水 必要的時候稍微減減啦蔡總統也有喝所以它不僅能夠提升提供民生醫用水也可以提供什麼這個產業醫用水原先規劃10萬噸那時候賴建信當署長的時候我一直在討論一直在滾動檢討我一直關心這個問題 也是我提案
transcript.whisperx[374].start 10452.506
transcript.whisperx[374].end 10469.074
transcript.whisperx[374].text 本來沒這幾個 本來是台南三省長寧我邀請要認識一下所以把台中那個搬來北高雄你現在要設置永久性的海淡廠你要跟地方有充分的溝通得到地方同意你不能因為海淡廠設置之後把一個漁村產業把石斑魚的故鄉給毀了
transcript.whisperx[375].start 10473.752
transcript.whisperx[375].end 10495.126
transcript.whisperx[375].text 你現在整個在延安 延安有LNG 中游有LNG廠也有旁邊的這個新達電廠 你要加上一個永安這個再生水廠一個一萬多人的一個區域 也有三個廠在那邊而且大部分是養殖餘溫啦 酒瓣是在故鄉的你這樣佔15公頃 人要怎麼做溫啊
transcript.whisperx[376].start 10500.106
transcript.whisperx[376].end 10522.142
transcript.whisperx[376].text 所以今天你的地點的選擇很重要我是支持要蓋在那個海水淡化廠但是你要去為了選擇你要讓我知道啊所以我竟然是最後一位才知道理事長跟我說我說我怎麼不知道這個計畫我不是原先是在協定興大電廠裡面嗎他們已經規劃好十萬噸了
transcript.whisperx[377].start 10526.328
transcript.whisperx[377].end 10554.475
transcript.whisperx[377].text 那怎麼變成到永安來的原來是那個計畫改成地點 改到永安我不用這個案子是我提議才會有這個海水台灣廠設在北高雄我希望你們來檢討是不是能夠多一點尊重這樣我是最後一位才知道我怎麼對我的鄉親交代我們會改善所以這個區位已經得到地方上極大的反彈
transcript.whisperx[378].start 10555.526
transcript.whisperx[378].end 10583.68
transcript.whisperx[378].text 你們區會重新選擇你要得到地方的共識我才能讓你繼續推下去如果因為鱷魚海灘場你毀滅一個漁村我死了就不會接受所以今天很嚴肅的問題這是他們生存權的問題我最後是在知道我不在意啦但是我希望不要在這種情況發生我覺得行政立法部門充分的溝通
transcript.whisperx[379].start 10585.134
transcript.whisperx[379].end 10611.087
transcript.whisperx[379].text 你在我的選區蓋那麼大的工程換地點我竟然不知道這個有點詭異現在還不是農曆七月另外東南亞台商在印度跟菲律賓這個菲律賓我想國務長您也很熟我希望可以再加強在菲律賓的佈局你看印度它的國內市場
transcript.whisperx[380].start 10612.691
transcript.whisperx[380].end 10640.216
transcript.whisperx[380].text 很大所以我們是不是包括你看以前田鴻茂院長他做黨會裡面說南向國家裡面東南亞國際裡面印度跟菲律賓不然從關稅未來可能演變或者他市場我覺得他他認為這是一個非常有潛力所以我們要加強力道針對菲律賓跟印度輔導協助我們台在原來的東南亞台商在這邊能夠有更多生產聚落
transcript.whisperx[381].start 10642.35
transcript.whisperx[381].end 10666.864
transcript.whisperx[381].text 是因為我來經濟部以後就推動這個境外關內的這個想法那政府當然會在這個找到一個合適的地點以後啊那讓這個已經在新南向的地區的廠商幫他們能夠開始做一些產業的集結那這個產業集結以後啊那麼政府給一些關照那我想這樣子會提升他們的競爭力好那請
transcript.whisperx[382].start 10669.345
transcript.whisperx[382].end 10695.911
transcript.whisperx[382].text 這個部長經濟部拿出具體的作為針對這兩個國家有更多的輔導作為是 我也提出來最後30秒再請教高副主委就是就業金卡這個相關有一些的法規你必須要去重視是那有YouTuber因為他因為非法工作要採取被移民署禁止入國但是他禁止入國管制期間他又收到就業金卡他拿這個就業金卡又來入境
transcript.whisperx[383].start 10697.852
transcript.whisperx[383].end 10705.107
transcript.whisperx[383].text 這個部分是行政作業跟法規適用會引起爭議跟漢格這個部分你們有沒有什麼你們有沒有知道這個問題要怎麼去彌補來 處長
transcript.whisperx[384].start 10709.891
transcript.whisperx[384].end 10733.951
transcript.whisperx[384].text 謝謝委員的垂詢有關這個案子其實我們有跟移民署這邊做了解確實是移民署在審查的過程之中沒有去檢視到說所以是移民署的問題啊就是在核發簽證核發那個就是就業金卡最後一關的時候沒有查證到說他有一些簽錢被禁止入境的這樣的一個情況
transcript.whisperx[385].start 10734.671
transcript.whisperx[385].end 10759.176
transcript.whisperx[385].text 所以這個行政書是你要規則移民署沒有 我們這個部分我們後續也會再加強加強整個 橫向的聯繫很重要不完全是移民署移民署絕對是照章去做審核一定是因為法規上面是不是有不足或者有遺漏之處我希望你們最快速度跟移民署再做一個協調避免類似的狀況再發生好 謝謝各位 謝謝謝謝趙偉
transcript.whisperx[386].start 10766.053
transcript.whisperx[386].end 10773.776
transcript.whisperx[386].text 這個我不敢苟同好謝謝邱志偉委員來下一位請張家俊委員質詢謝謝趙偉我想請這個經濟部郭部長還有我們的高副主委
transcript.whisperx[387].start 10788.876
transcript.whisperx[387].end 10810.401
transcript.whisperx[387].text 國務部長立法院呢在2025年的5月13號三讀修正通過了我們這個核子反應器的施管制辦法設施管制辦法第6條修正案那賦予呢核電廠研議跟重啟的這個法律依據那之前呢你也曾表示過如果修法通過
transcript.whisperx[388].start 10811.001
transcript.whisperx[388].end 10816.889
transcript.whisperx[388].text 那政府會在這個法規框架下來行事那請問經濟部是否已經開始研擬啟動研議的評估作業了呢
transcript.whisperx[389].start 10822.057
transcript.whisperx[389].end 10841.854
transcript.whisperx[389].text 報告委員我想對於這個核管法的部分我想大家必須要先設置一個法來先就安全的部分我們已經通過了我們這個核子反應器的設施管理管制辦法第六條修正案已經賦予核電廠研議或重啟的法律依據
transcript.whisperx[390].start 10846.158
transcript.whisperx[390].end 10850.101
transcript.whisperx[390].text 那你一直在講的核安然後核廢料社會共識等等有關於核安其實台灣的核電常年在IAEA國際評鑑中都是名列前茅如果這樣的機組都不算安全的話還有誰能夠過關呢
transcript.whisperx[391].start 10864.412
transcript.whisperx[391].end 10881.803
transcript.whisperx[391].text 是 報告委員我想這個是通過了母法我們現在還缺乏那個執法可以執行的執法所以我們現在就是要讓整安會趕快把執法送出來然後讓台電可以根據這個執法下去去落實這樣
transcript.whisperx[392].start 10883.285
transcript.whisperx[392].end 10886.909
transcript.whisperx[392].text 經濟部的部分呢經濟部是贊成樂觀集成這兩個前提然後三個原則我想這個就是核安的部分已經應該是不用再討論了應該我們算是安全就要趕快把執法執法落實然後台電根據這個執法去檢測
transcript.whisperx[393].start 10902.486
transcript.whisperx[393].end 10912.969
transcript.whisperx[393].text 那三個原則我想還是一樣大家都非常清楚就是核安沒問題核廢料可以處理那全民有公事那核廢料就是甘氏儲存潮的計畫已經早啟動現在就是可能2025年就會完成了那系統設計的壽命為50年那甘廚做到了應該是核廢料也有解了
transcript.whisperx[394].start 10924.392
transcript.whisperx[394].end 10933.102
transcript.whisperx[394].text 那社會共識的部分非常多的這個民調包括最近的禁新聞的民調都顯示說有過半的民眾55%以上的民眾都贊成所以這應該也算是社會共識所以研議的三個要件實際上都已經
transcript.whisperx[395].start 10943.695
transcript.whisperx[395].end 10956.3
transcript.whisperx[395].text 已經具備了唯一沒有準備好的就是政策執行的勇氣啊那希望說這個部長要拿出你這個霸道總裁的這個霸氣啊趕快讓他實行啊讓我們的這個產業比較安定下來安心說我會有穩定供電啊
transcript.whisperx[396].start 10963.344
transcript.whisperx[396].end 10985.922
transcript.whisperx[396].text 謝謝委員就這一部分我想公部門必須要依法依規來處理那我剛才跟您報告我們母法通過了謝謝您但是我們現在趕快要把執法羅列出來然後大家按照法的框架之下大家努力的快速的把這件事情給完成那也拜託部長再從旁
transcript.whisperx[397].start 10987.243
transcript.whisperx[397].end 11001.463
transcript.whisperx[397].text 加速讓他們可以加速前進趕快你的關心我想一定會給他們增添很多的這個火力啦那另外講到火力我必須要講一下就是今天很多人問的核三廠5月17日
transcript.whisperx[398].start 11003.766
transcript.whisperx[398].end 11020.375
transcript.whisperx[398].text 停機三天才停機三天5月20號去年9月操作許可證就到齊的新達3號4號燃煤機組就啟動了加入電網這個是否屬實呢那我是不是請這個我們台電跟你回應一下好
transcript.whisperx[399].start 11022.165
transcript.whisperx[399].end 11050.644
transcript.whisperx[399].text 是 跟委員報告喔 興達它的許可雖然到期了但是它還沒有到初一興達的3號機是今年底才初一然後4號機是明年底那許可到期之後台電有跟昭雄市政府提出這個許可的審查演繹它不能在審查中審查中你就可以自己脫開啦當時在這個興達更新改建的環評裡面其實當時就有承諾這個興達的3號 4號機在被轉容量低於8%以下的時候它可以運轉
transcript.whisperx[400].start 11051.61
transcript.whisperx[400].end 11076.694
transcript.whisperx[400].text 是 那我可不可以再跟部長講一下這就是我想要指出的就是現在我們的政府對於延役這兩個字根本就是雙重標準新達三號機 四號機早就已經沒有操作許可證了也不在常態的機組名單之上但是只要有缺電危機這些機組就可以立即起死回生重新啟用 上網發電請問一下部長 這樣算不算延役呢
transcript.whisperx[401].start 11079.815
transcript.whisperx[401].end 11083.037
transcript.whisperx[401].text 有經過新的許可嗎 他在審查中就可以拿出來用了還是只要用電不夠的時候他們內部決定說 應急就可以立即上線了呢因為還在審查中嘛 是吧所以在那個環境裡面是被允許的啦就反觀核電不但機組狀態良好而且運轉穩定這個安全評鑑屢獲國際認同然後原班人馬原班體系都在結果現在連研議的
transcript.whisperx[402].start 11109.875
transcript.whisperx[402].end 11118.482
transcript.whisperx[402].text 法都過了 你們現在還在想要說執法啊等等啊 我是覺得說是不是喔 應該不要再繼續雙標下去了趕快把你們拿新大電廠的這種喔 魄力拿來啟用河山廠這樣好不好 我們部長
transcript.whisperx[403].start 11126.495
transcript.whisperx[403].end 11144.769
transcript.whisperx[403].text 大家一起努力好 謝謝那我是不是可以再問一下我們這個高副主委就是我們賴總統前幾天有表示國家應該要成立這個主權基金那請問一下國發會現在的 持的態度為何呢我們遵照行政院協議的
transcript.whisperx[404].start 11147.117
transcript.whisperx[404].end 11170.518
transcript.whisperx[404].text 結果那現在台灣雖然沒有主權基金但是過去央行也曾說我們的四大基金勞保勞退國民年金跟退府基金雖然沒有主權基金之名但有主權基金之實那國發會的這個國發基金也有類似的功能您認為未來主權基金跟我們四大基金的投資邏輯上會有什麼大不同嗎
transcript.whisperx[405].start 11171.919
transcript.whisperx[405].end 11201.199
transcript.whisperx[405].text 基本上所謂的四大基金比較是財務型操作的基金那我們國發基金是屬於策略投資型的基金那國際間的主權基金這兩種形態都有會是這個國家的它是要達到的政策性的目標來定那我們未來主權基金是會採取什麼樣的形態來設置目前還在研議當中所以還不是很清楚那有關於這個台灣的主權基金成立的裁員呢
transcript.whisperx[406].start 11202.36
transcript.whisperx[406].end 11215.974
transcript.whisperx[406].text 也是在研議當中 國際間有財政盈餘 外匯存底還有他們自然資源的收益那有可能發債嗎當然是有可能就是不排除預計的發債對象跟他的規模
transcript.whisperx[407].start 11218.737
transcript.whisperx[407].end 11232.284
transcript.whisperx[407].text 都還在研議當中都還在研議當中那所以意思就是說在總統說之前是沒有縝密的規劃的不是 應該是說我們都有各我們都有一些國際間的我們都有研議過
transcript.whisperx[408].start 11235.045
transcript.whisperx[408].end 11257.152
transcript.whisperx[408].text 國際間的基本的做法那我們基本上我們也有模擬如果國內要推動的時候我們可以採取什麼樣的做法可是基本上因為之前的討論大家都就是在今年以前的這些討論其實沒有太多的共識那現在總統已經決定要宣誓要成立的時候呢那我們就會就中間可行的做法適合我們國內的情況我們來嚴厲一些具體的
transcript.whisperx[409].start 11259.733
transcript.whisperx[409].end 11280.067
transcript.whisperx[409].text 策略跟方向當然啊這個均無細言既然總統說了要做就是一定要做那但是呢我們也希望說做的時候一定要多參考一些其他國家的例子當然新加坡的模式很多人都提起那但是呢也不是沒有失敗的例子像挪威的主權基金第一季就高達
transcript.whisperx[410].start 11281.308
transcript.whisperx[410].end 11285.391
transcript.whisperx[410].text 這虧損高達新台幣1.3兆元那我們希望說這個主權基金給這個國發會一點建議可以帶回去跨部會溝通第一就是一定要設立專法然後設計的制度絕對不能倉促上路那第二呢主權基金應該由獨立的法人運作由這個政府產業界跟學界共組
transcript.whisperx[411].start 11305.543
transcript.whisperx[411].end 11321.902
transcript.whisperx[411].text 不要變成政治人事化人事政治化確保投資的專業性那未來呢也希望說這個推動主權基金的這個過程國發會不要只是配合的單位要去扮演這個設定制度的設計制度的這個領頭單位謝謝
transcript.whisperx[412].start 11324.765
transcript.whisperx[412].end 11327.186
transcript.whisperx[412].text 好 謝謝主席那我們是不是有請經濟部郭部長跟國發會高副主委
transcript.whisperx[413].start 11354.311
transcript.whisperx[413].end 11380.252
transcript.whisperx[413].text 謝謝我們請部長跟副處委謝謝委員好部長我想這個NVIDIA黃仁勳那他宣告了要在台灣來做他的海外總部那這個海外總部我想代表了一個意義除了說他是一個NVIDIA在台灣落地要在這裡
transcript.whisperx[414].start 11381.293
transcript.whisperx[414].end 11408.256
transcript.whisperx[414].text 開始發展他的事業之外最重要的是黃仁勳他講的他未來NVIDIA已經不是只是一個科技公司他會變成AI的基礎設施公司哇 這個宣告就很大了因為所謂AI的基礎設施他包括說從過去傳統的CPU之外以後我們的要發展更多的GPU TPU甚至我們要有更好的儲存系統過去都是卡在電腦裡面
transcript.whisperx[415].start 11409.557
transcript.whisperx[415].end 11427.405
transcript.whisperx[415].text 現在可能要透過雲端的儲存來有更多的網路的運算而且這個運算必須要高寬頻必須要低延遲這都是整個AI基礎設施最關鍵的地方實際上黃仁勳做這樣的一個宣告之後我馬上就注意到5月19號
transcript.whisperx[416].start 11429.481
transcript.whisperx[416].end 11443.836
transcript.whisperx[416].text 馬來西亞他也馬上宣告他要以華為的晶片為核心然後發展所謂馬來西亞國家級的AI基礎設施所以看起來馬來西亞大概就是他也有他的一個
transcript.whisperx[417].start 11444.637
transcript.whisperx[417].end 11467.608
transcript.whisperx[417].text 整體的戰略的佈局而且這個戰略佈局大概會跟黃仁勳在台灣要組的AI基礎設施這看起來就有點壁壘分明了因為我們黃仁勳NVIDIA是以台積電的晶片為主所以部長你怎麼看這樣國際情勢這樣世界科技的競爭那台灣未來的一個角色呢是啊 報告委員我想這個全球來看
transcript.whisperx[418].start 11470.269
transcript.whisperx[418].end 11484.536
transcript.whisperx[418].text 在AI的這個領域裡面當然最大的就是美國那中國的AI當然是在目前來看排名是第二名那華為當然是中國最大的半導體機構那今天這個
transcript.whisperx[419].start 11487.598
transcript.whisperx[419].end 11504.856
transcript.whisperx[419].text 黃榮勳先生來台灣那麼建立他的這個這個大的這個基地啊海外的基地在台北主要是看上我們的人才主要是看上台灣的這個人才以及台灣在這個半導體供應鏈充分的這樣的一個架構那我相信這個馬來西亞他站在這個這個
transcript.whisperx[420].start 11510.672
transcript.whisperx[420].end 11540.032
transcript.whisperx[420].text 對立面啦可以講說他對立面當然就跟壁壘分明了嘛一個是以華為晶片為主的一個我們NVIDIA是以台積電的晶片啦這個就有一點是不一樣的走向了所以現在就是競爭的開始欸競爭的開始但是我們台灣呢是這個A組加A組啦齁那他們是這個B組加B組我們台灣有最強的整個AI的供應鏈嘛都在台灣所以我們是最強的一組啊但是我覺得在這個時候我們經濟部很重要
transcript.whisperx[421].start 11540.792
transcript.whisperx[421].end 11554.868
transcript.whisperx[421].text 部長我們是不是要當黃仁勳未來在台灣整體布局的一個靠山這沒問題吧我們現在不僅是做NVIDIA的靠山我們是做台積電的靠山
transcript.whisperx[422].start 11556.17
transcript.whisperx[422].end 11572.231
transcript.whisperx[422].text 台積電的靠山台積電是世界最強的半導體公司沒有錯由台積電製造出來的晶片支持全球所有的AI的伺服器那麼這個算力基本上來自於AI伺服器的精算的能耐
transcript.whisperx[423].start 11572.952
transcript.whisperx[423].end 11592.61
transcript.whisperx[423].text 我相信沒有世界沒有任何一個地方可以比台灣更優秀可以比台灣更優秀所以可以看得出來當他把這個研發中心跟運作中心設立在台北的時候世界各地的數位牧民大概也會聚集到來數位牧民嘛對所以現在我們也要處理這個
transcript.whisperx[424].start 11594.031
transcript.whisperx[424].end 11600.698
transcript.whisperx[424].text 外國人才的一個讓他招攬進來那也是強調怎麼讓數位慕名讓他可以很快速的落腳台灣這個都要做但是我還有幾個方向事實上我在這裡提出一些看法我覺得部長應該要來參考第一就是我們在發展AI基礎設施這個很多是科技產業自己要跳下去做那政府可以做什麼第一個就是在
transcript.whisperx[425].start 11618.894
transcript.whisperx[425].end 11627.597
transcript.whisperx[425].text 在這個租稅上的一個優惠讓這些科技產業更有競爭力這是第一個第二個因為馬來西亞他結合華為晶片要發展他們國家級的這個AI基礎設施我們台灣呢
transcript.whisperx[426].start 11633.8
transcript.whisperx[426].end 11651.199
transcript.whisperx[426].text 台灣一樣要面對這件事情那所以我們這一次跟美國的一個談判在這90天中我們必須要盯緊馬來西亞的稅率跟我們稅率的差距不要因為稅率的差距變成我們未來在做競爭時候的一些小劣勢
transcript.whisperx[427].start 11652.219
transcript.whisperx[427].end 11668.065
transcript.whisperx[427].text 是的,我會參考這個委員的訊息所以盯緊馬來西亞他們跟美國的關稅台灣這一點一定要注意好是的那第三個就是說因為黃仁勳有講他說他所需要的晶片
transcript.whisperx[428].start 11668.985
transcript.whisperx[428].end 11686.321
transcript.whisperx[428].text 就是台積電COWAS的晶片尤其現在最新的COWAS L所以黃仁勳都講了說他想像不到除了COWAS以外沒有其他選擇這是黃仁勳講的那我們也知道現在整個COWAS的一個佈局在嘉義的科學園區正在
transcript.whisperx[429].start 11687.141
transcript.whisperx[429].end 11703.01
transcript.whisperx[429].text 大概今年九月第一個廠就好了所以整個台積電COWAS的布局跟未來黃仁勳所要發展的AI基礎設施他在台灣的NVIDIA的未來的帝國的一個產生這一個COWAS的一個基地就很重要
transcript.whisperx[430].start 11703.47
transcript.whisperx[430].end 11719.62
transcript.whisperx[430].text 那所謂KOWAS,嘉義這個嘉科的KOWAS又來自於高雄台南他們生產的一個晶片所以這部分就要講給國發會聽所以就是說怎樣把整個南部交通的串聯有夠重要
transcript.whisperx[431].start 11720.22
transcript.whisperx[431].end 11741.821
transcript.whisperx[431].text 所以我們在說的高鐵橋下的道路台37線怎麼把所謂S郎大S郎大再擴大到嘉義這一段就是連接到了把所有的科學園區透過一條產業道路直接把它串聯起來這件事就很要緊加速加速這一條產業道路的建設第二個
transcript.whisperx[432].start 11742.895
transcript.whisperx[432].end 11763.422
transcript.whisperx[432].text 第二個因應未來NVIDIA在台灣要建立帝國要有很多科技的人才國際的人才要來台灣國際的人才要來台灣但是台灣的空運不管是客運或是貨運太過依賴桃園機場尤其是在貨運的部分95.9%的貨運都是依賴桃園機場
transcript.whisperx[433].start 11771.377
transcript.whisperx[433].end 11780.144
transcript.whisperx[433].text 第二個高雄小館機場才佔1.79%所以你可以想像 萬不幸地在通往機場停車的時候他們的飛機又出現一些小狀況他們如果停車 我這裡的東西跑不進來
transcript.whisperx[434].start 11786.262
transcript.whisperx[434].end 11812.384
transcript.whisperx[434].text 所以我們現在要趕快打造台灣另外一個以貨運為中心以貨運為概念的國際機場這件事我覺得這當然不是經濟部經濟部應該站在整個科技產業的佈局這件事應該在你們在行政院會報的時候都必須要拿出來講那國發會則無盤帶你們必須要趕快去建造台灣的貨運那不能夠單單
transcript.whisperx[435].start 11814.426
transcript.whisperx[435].end 11834.797
transcript.whisperx[435].text 依賴桃園機場一間來著好不好來我們現在了解的程度是交通部在高雄推動雙港高雄在推動雙港但是高雄空港跟高雄海港沒有錯沒有錯這個都是一些計畫所以既然有這些計畫要怎麼加速那如果高雄因為又有宵禁的問題是不是還有其他地點來選擇這都要經維討論是
transcript.whisperx[436].start 11837.318
transcript.whisperx[436].end 11864.135
transcript.whisperx[436].text 好不好 當然我們嘉義水上機場也是一個可以客戶啊 因為如果是以貨運為導向的我們並不是說這個要看客運來支撐 但是如果以貨運的話嘉義的水上機場也是一個考量的 因為剛剛就講的未來的NVIDIA晶片與CoreOS晶片沒有其他選擇那嘉義也是在這整個科技的世界大戰裡面我們佔有一席之地
transcript.whisperx[437].start 11865.496
transcript.whisperx[437].end 11876.241
transcript.whisperx[437].text 整個政府 要來通盤的一個考量做NVIDIA 做台積電的後盾跟靠山 好不好是 謝謝委員吹詢好 謝謝謝謝昭偉謝謝部長 謝謝我們現在請羅廷威委員資訊來 請
transcript.whisperx[438].start 11901.311
transcript.whisperx[438].end 11910.73
transcript.whisperx[438].text 好謝謝主席有請部長來請部長先給我第一張看一下
transcript.whisperx[439].start 11913.781
transcript.whisperx[439].end 11932.106
transcript.whisperx[439].text 好 部長好 部長想跟您先請問一下 我們看這則新聞核電機組陸續除役 台電證明台中的電廠 用煤量屢創新低那台電也間接的證明盧修煙任內空污排放比2016年降低76%對嗎台電對嗎 這你們的新聞稿
transcript.whisperx[440].start 11938.257
transcript.whisperx[440].end 11962.017
transcript.whisperx[440].text 是 因為這個是台電跟台中市這種所以他在上任時有372億度那減去去年的272億度大概大降了超過100億度電 對嗎是好 那這個是我們現階段看到了台電間接承認我們台中市一直以來都在往減煤減排的方向在進行可是我們看下一張
transcript.whisperx[441].start 11964.093
transcript.whisperx[441].end 11988.671
transcript.whisperx[441].text 部長我還要延續5月1號的質詢部長你還記得5月1號我們兩個之間的對話嗎當時我問你火力發電會不會達到100%將近100%然後你跟我講這個機率很小那你知道在4月27到5月10號的這兩週14天內有12天有佔比突破90%的有14天有8天超過98%
transcript.whisperx[442].start 11990.692
transcript.whisperx[442].end 12010.189
transcript.whisperx[442].text 有五天超過99%有兩天超過100%相比部長告訴我台灣進入非核家園未來約84%電力將有火力發電支撐還沒進入非核家園的承諾就已經破功了嘛部長你怎麼回應
transcript.whisperx[443].start 12013.288
transcript.whisperx[443].end 12025.349
transcript.whisperx[443].text 我看數字的這個顯示那如果委員認為這樣是火力全開我不反對又不反對這前幾天不是說沒有火力全開嗎
transcript.whisperx[444].start 12026.67
transcript.whisperx[444].end 12049.531
transcript.whisperx[444].text 還是你要認為火力九成九開就是不叫火力全開可是我現在問你的問題是你當時告訴我84%支撐所謂的火力發電來支撐結果沒有啊事實證明都超過90%再來我那天也問你晚上無風無雨你告訴我所謂的機率很小
transcript.whisperx[445].start 12050.572
transcript.whisperx[445].end 12066.247
transcript.whisperx[445].text 平均發電在87%但今天我要看我們下一張圖嘛核三二號機退役之後5月18到5月22每一個表格都是來自於台電的公開資料
transcript.whisperx[446].start 12067.335
transcript.whisperx[446].end 12077.88
transcript.whisperx[446].text 退場之後每天夜間的火力佔比都超高深夜火力佔比常常都99%以上5月18 995月19 1045月20 1015月21 1025月22 102你告訴我平均用電量晚上夜間87%相距甚遠部長這個你怎麼回應鐵針針的數據啊是
transcript.whisperx[447].start 12097.079
transcript.whisperx[447].end 12123.373
transcript.whisperx[447].text 那你有沒有覺得你應該為你的言論而道歉當時你就在這樣子的現場在國會的殿堂你講出這些數據完全沒有依據完全就是敷衍甜言蜜語來欺騙台中人你說87%嘛但現階段我們看到的數據全部最高達到102%那你要怎麼說你就是
transcript.whisperx[448].start 12124.249
transcript.whisperx[448].end 12139.052
transcript.whisperx[448].text 在某個時段裡面是這個樣子的在某個時段裡面是這樣子平均值是這個樣子所以你還是在用平均值來算嘛那你中火更是火力全開我並沒有用平均值來算5月18中火10部燃煤機組一部稅休9部可以發4950我們現階段發電發到了4587超過9成
transcript.whisperx[449].start 12153.089
transcript.whisperx[449].end 12178.443
transcript.whisperx[449].text 所以你現階段火力不是全開嗎九部燃煤機組九部都開你告訴我火力沒全開火力九層開算不算火力全開還是你要這邊站那一層一部是稅休你稅休你沒有開嘛你是因為稅休沒開不是因為你不開啊所以基本上已經是把最大用電的發電量將近把它全部
transcript.whisperx[450].start 12183.045
transcript.whisperx[450].end 12211.07
transcript.whisperx[450].text 我想你應該要就事實來說我要再回到我們下一張圖剛剛我講的第一張圖片我們在說的我們現階段2016年到2024年我們一直努力減碳減排終於有了成效可是在最近我們看到台中電廠的用煤量是屢創新高這個圖表我相信你都看過了這是用煤量我們下一張圖
transcript.whisperx[451].start 12213.459
transcript.whisperx[451].end 12232.757
transcript.whisperx[451].text 我們把去年5月14號跟今年5月14號來做對比慢慢往前推進到了去年的5月17到今年的5月17我們看出差距發電的總量我們的總和開始越來越高
transcript.whisperx[452].start 12233.973
transcript.whisperx[452].end 12251.78
transcript.whisperx[452].text 台電官網上說友善降載還有環保限制的跳票就用台中人的費來泰帝啊減煤承諾就是現階段我們看到的完全跳票為了救電可以犧牲台中人的健康台中火力發電會不會達到100%部長你當時還是說機率很少嗎
transcript.whisperx[453].start 12255.982
transcript.whisperx[453].end 12260.684
transcript.whisperx[453].text 對照數據郭部長就是睜眼說瞎話難道98 99不算接近100%嗎這說大話說習慣了搞不清楚狀況部長我必須要講你就是說謊你就是騙子
transcript.whisperx[454].start 12271.704
transcript.whisperx[454].end 12299.583
transcript.whisperx[454].text 你現階段你就是98%的騙子但是我沒有說你是100%的騙子因為你認為98%不是趨近於100%嗎所以我們現階段火力發電常年為全台供電台中市就要承受PM2.5超標肺癌居高不下口口聲聲的減煤 以氣換煤還有發展綠能你就是要告訴全民你的非核家園就是火力家園
transcript.whisperx[455].start 12300.524
transcript.whisperx[455].end 12319.498
transcript.whisperx[455].text 所以我要跟你講中火是全球最大最老舊的啞鈴界藍莓電廠什麼時候要除疫什麼時候要給台中人健康部長你可不可以回應還是你要再繼續說謊還是你死不承認部長上一次5月1號講到現在您今天選擇沉默以對嗎還是說不出來還是啞口無言
transcript.whisperx[456].start 12329.312
transcript.whisperx[456].end 12350.406
transcript.whisperx[456].text 部長 可以給我一些回應嗎那你給我時間講嗎請說好 這個所有發電的內容都是我們跟台中市政府合議的框架之內的數字這樣你知道嗎現階段你口口聲聲說合議的框架內啦
transcript.whisperx[457].start 12351.383
transcript.whisperx[457].end 12374.481
transcript.whisperx[457].text 但是我們看到的發電總和所以你的意思就是說是經過台中市政府同意所以台中市政府他發證照給你你就可以這樣子不斷的使用今天我們看到數字超標你推給台中市政府合議的框架然後拿這些甜言蜜語繼續告訴民眾沒有啊台中市同意啊這個是在合議的框架之內在運作
transcript.whisperx[458].start 12375.882
transcript.whisperx[458].end 12392.483
transcript.whisperx[458].text 你當然會這樣講可是我現階段跟你講的是2025年拿2024年你明明可以進步你現階段就是退步你還在用合議的框架你還在用這些數據平均量來告訴台中人沒有啊我們有持續的減煤減炭
transcript.whisperx[459].start 12396.067
transcript.whisperx[459].end 12422.021
transcript.whisperx[459].text 謝謝主席我要講的是台中人的健康不是給你這樣隨意糊弄台中人的健康是台中市政府允許的範圍之內喔允許的範圍我們希望你越來越好我們在做的生煤自治條例也被中央廢除我們都希望能夠持續的減煤減碳但是中央就是在其中杯葛尤其經濟部的錯誤能源政策造成台中人最後健康損失所以我們要再一次的抗議
transcript.whisperx[460].start 12422.621
transcript.whisperx[460].end 12445.337
transcript.whisperx[460].text 台中人應該要站起來我們更呼籲經濟部重視台中人的健康好我們經濟部非常重視所有全國國人的健康好不好意思因為我下來你又在講話所以我要回應你你如果今天重視的話今天麻煩你把真正的發電量能夠降低而不是我們看到了跟去年來對比我們的發電量屢創新高好OK不要講了
transcript.whisperx[461].start 12450.714
transcript.whisperx[461].end 12471.536
transcript.whisperx[461].text 再講我們等一下還要處理那個處理法案好那下一位請鍾嘉斌委員 鍾嘉斌委員 鍾嘉斌委員不在我們中午不休息就把今天議程處理完畢李坤城委員 李坤城委員 李坤城委員不在好下一位請徐富奎委員諮詢
transcript.whisperx[462].start 12481.412
transcript.whisperx[462].end 12499.386
transcript.whisperx[462].text 謝謝主席 有請我們郭部長還有能源署我們的代理署長跟台電的副總好請部長跟相關單位委員好 部長好剛剛聽了台中的這個羅衛原的講話 我想要討回他說
transcript.whisperx[463].start 12502.995
transcript.whisperx[463].end 12530.868
transcript.whisperx[463].text 他們不要火力發電廠因為要犧牲台中人的健康但是他跟所有藍白委員竟然舉手支持河山廠繼續重啟研議犧牲我們屏東人的生命財產安全這有什麼邏輯啊 博定你認同這樣的論調嗎電不是我的專長所以各位委員的意見我們都尊重
transcript.whisperx[464].start 12532.346
transcript.whisperx[464].end 12549.993
transcript.whisperx[464].text 好 部長 那我想我們核三廠二號基因在今年5月17號我們依法除役這個是我們照這個相關的法規 荷蘭種法的法規但是很遺憾的藍白委員藉由這個修改核管法甚至這個也藉由這個公投案
transcript.whisperx[465].start 12550.633
transcript.whisperx[465].end 12572.623
transcript.whisperx[465].text 重啟了這個核三廠的一個恢復運轉的一個公投案用全國人的一個公投案來決定我們屏東人的這個生命財產的安全我個人非常不能夠接受了我想部長也是屏東人部長那賴總統也講得很清楚這個我們核電的議題政府會遵照兩個必須跟三個原則來審慎處理
transcript.whisperx[466].start 12574.346
transcript.whisperx[466].end 12591.382
transcript.whisperx[466].text 那第一個就是核安會必須依據依法來訂定一個安全審查的一個程序第二個台電也必須依這個程序自主評估有沒有重啟的條件跟成本的效應那三個原則更重要的就是要核安無虞核非料有解社會共識部長
transcript.whisperx[467].start 12593.644
transcript.whisperx[467].end 12610.965
transcript.whisperx[467].text 就經濟部的立場目前會遵照這個原則來做處理嗎是的一定的一定喔部長那我想我們大家都在關心這個目前這個運轉40年的這個河山廠的機組到底能不能安全運轉我想請台電的副總目前你們的評估狀況怎麼樣
transcript.whisperx[468].start 12613.849
transcript.whisperx[468].end 12637.627
transcript.whisperx[468].text 跟委員報告即便全世界所有的核能機組有研議運轉了40年都必須要停下來做所有的神聖的安全的檢查之後核廢料你們可以處理嗎現在核三廠的燃料池的漆子也將近滿了我們預估如果它即便能夠再重新再重啟的話大概只能夠維持大概是3到4年左右的空間而已
transcript.whisperx[469].start 12637.947
transcript.whisperx[469].end 12658.582
transcript.whisperx[469].text 是啊所以我在這邊還是要要求我們經濟部跟台電相關單位那我要講清楚啦不要隨著這個藍白立委一定要亂講那我們的回答總是似是而非我覺得這樣非常的不負責任我們到底未來這個走向要怎麼樣我們都尊重這樣一個機制運作但是呢不是藉由一個
transcript.whisperx[470].start 12659.665
transcript.whisperx[470].end 12686.204
transcript.whisperx[470].text 隨便一個公投其他公共就會要重啟我覺得我們不能夠接受這樣的論調那部長我想剛剛很多委員都在關心我們的能源政策那我知道部長都很用心所以我想我們還是希望能夠積極去發展再生能源這一塊我想這部長應該也是一直在努力但是目前我們的2025年要達到的20%的比例目前大概有些許的一個落後未來我們怎麼樣來積極來努力
transcript.whisperx[471].start 12687.845
transcript.whisperx[471].end 12699.681
transcript.whisperx[471].text 是 報告委員 我想我們從這個再生能源四個構面去努力包括風電 包括太陽能 包括水力 包括地熱所以我們會在2026年的11月來達標再生能源20%
transcript.whisperx[472].start 12705.868
transcript.whisperx[472].end 12730.369
transcript.whisperx[472].text 但是我還是要提醒部長因為我們有些的案子都必須跨部會來整合包含農電也好、漁電也好甚至這個風力發電很多的案子但是跨部會整合上面我們總是聽到有些界面上處理上各部會有各部會的想法跟堅持所以造成這個推進上有一些的阻礙那部長是不是可以承諾來協助解決這些問題我們現在在加強做這個協商
transcript.whisperx[473].start 12733.411
transcript.whisperx[473].end 12750.465
transcript.whisperx[473].text 包括在農電的部分包括在漁電的部分這個太陽能所以我們可能會先在這個屏東有一部分的這個希望能夠把光電趕快那邊有比較大的這個不是耕種的地我們會優先在那邊
transcript.whisperx[474].start 12753.154
transcript.whisperx[474].end 12771.591
transcript.whisperx[474].text 因為它是不適合耕種的所以我們是優先在那邊建立這個地面型的這個光電是部長那我最後還是要提醒一個問題就是我們國內的太陽能的業者他們發現了中國大陸用洗產地的方式藉由東南亞把這個太陽能的模組進來到台灣
transcript.whisperx[475].start 12773.653
transcript.whisperx[475].end 12796.088
transcript.whisperx[475].text 經濟部有掌握這樣的資訊嗎?我們有掌握,完全不允許紅色供應鏈的模組進來部長,我們掌握到一個訊息2022年從東南亞進口的產品不到10%到2024年變成50%今年一到二月就80幾%了這非常的恐怖啊我們現在會禁止他們使用
transcript.whisperx[476].start 12797.045
transcript.whisperx[476].end 12804.793
transcript.whisperx[476].text 那針對這樣子的我們有什麼樣的一個強制的一個緊急防衛罪的一個機制來做處理嗎是有
transcript.whisperx[477].start 12807.594
transcript.whisperx[477].end 12828.165
transcript.whisperx[477].text 我們有防止他們的就是說我們美國有美國針對這樣的他們有科與高關稅的一個防衛稅的機制我們會這個禁止他們使用然後海關也會查核一旦查到了一旦查到了第一次罰款60萬第二次300萬第三次取消這個進口的這個執照部長最後還是要提醒
transcript.whisperx[478].start 12829.886
transcript.whisperx[478].end 12851.848
transcript.whisperx[478].text 這個有中國大陸用假外資來投資來投入我們台灣的一些案子我們必須要嚴重徹查這是國安危機啊是這一部分我們會要求投資師嚴格的審查尤其藉由東南亞國家的一個假外資他們甚至用這樣的方式包裝之後進來投尤其針對我們一些公家軍事設施的部分
transcript.whisperx[479].start 12852.268
transcript.whisperx[479].end 12868.441
transcript.whisperx[479].text 報告委員 這個我們都有掌握啦有掌握啦我們會看他後面的這個他的結構他的資金結構跟他的股東結構好 不等 謝謝是 謝謝委員好 謝謝 謝謝徐富奎委員那下一位請徐欣盈委員質詢
transcript.whisperx[480].start 12879.792
transcript.whisperx[480].end 12882.714
transcript.whisperx[480].text 謝謝主席 本席請郭部長請郭部長委員好部長好部長在您這個去年上任之前立法院有通過就去年的5月2號立法院有通過一個中小企業發展條例部分條文的修正草案
transcript.whisperx[481].start 12905.45
transcript.whisperx[481].end 12920.379
transcript.whisperx[481].text 那他內容主要精神就是在於我們鼓勵中小企業能夠給員工加薪然後可以來扣抵他的所得這個盈利事業所得中來扣除就是所謂的
transcript.whisperx[482].start 12921.139
transcript.whisperx[482].end 12946.43
transcript.whisperx[482].text 員工加薪企業減稅的這樣的一個通過這樣的一個法案那到現在剛好滿一年了所以本席想藉由今天來了解就是說我們經濟部有沒有在掌握這麼好的這種立法這個美意是不是有掌握以及我們在社會上實施的成效怎麼樣我們全國58萬個中小企業現在的情況如何
transcript.whisperx[483].start 12950.151
transcript.whisperx[483].end 12970.284
transcript.whisperx[483].text 是報告委員我們會等今年的報完稅以後會來跟財政部要這些資料來確認他們是不是有按照這樣的一個法可以來落實那這個法案通過之後有沒有一些宣傳或者是一些激勵的一些措施跟做法我們中小
transcript.whisperx[484].start 12972.287
transcript.whisperx[484].end 12994.159
transcript.whisperx[484].text 我們有辦了17場的說明會那也透過工協會去推動讓這些中小微企業但是因為中小微企業我想有一部分可能就是因為這個加數太多了我們有大概167萬家的但是你透過那個工協會或組織這樣下去其實大家應該在業內大家應該也會知道啦
transcript.whisperx[485].start 12994.759
transcript.whisperx[485].end 13004.105
transcript.whisperx[485].text 有一些微型的企業可能他們比較難以跟這個工協會互動也許有一部分的人他不太清楚有發函嗎沒有我們現在因為我們微型的企業大概就是這種30人以下的這個企業其實
transcript.whisperx[486].start 13013.72
transcript.whisperx[486].end 13031.836
transcript.whisperx[486].text 很難啦上上下下很難不過我們都是努力在跟他們溝通也告訴他們有這樣的一個福利因為這一個我想這個部分我們經濟部這個實施起來不困難但是用心的做其實也是對民眾來說對他們來說也是對我們這個經濟部他們也會有很好的觀感我們通過這麼好的法
transcript.whisperx[487].start 13040.524
transcript.whisperx[487].end 13047.665
transcript.whisperx[487].text 有沒有掌握就是說當然這個今年報稅完之後你有明確的數據那你們的掌握度大概如何
transcript.whisperx[488].start 13051.007
transcript.whisperx[488].end 13072.99
transcript.whisperx[488].text 我們當然不會說一直等到9月這個數字拿到了因為我們認為能夠早一點加惠給這些中小微企業我們當然會全面的努力去做所以我們現在今年因為關稅的政策我們現在對中小微企業直接的給他們的協助
transcript.whisperx[489].start 13073.73
transcript.whisperx[489].end 13100.346
transcript.whisperx[489].text 其實我們是做得非常的深我們從利用AI的學習來提升他們的效益然後利用ASCO來幫助他們降低成本所以這裡面包括很多包括也是一樣我們會跟他們介紹這些我們政府對中小微企業給他們哪一些福祉我想這一部分會擴大擴大讓他們知道這樣的一個生活
transcript.whisperx[490].start 13101.006
transcript.whisperx[490].end 13118.467
transcript.whisperx[490].text 因為這個立法的美意我們希望是真的能夠加惠到對我們企業中小企業甚至我們一千萬的勞工我希望他們都可以有感但是最後一點就是說我們也不得不去預防就是有一些
transcript.whisperx[491].start 13119.728
transcript.whisperx[491].end 13139.251
transcript.whisperx[491].text 这个可能企业他会不会利用模糊的加薪的定义透过会计的这个操作来获得减税优惠但实际上劳工并没有拿到增加的这样的薪资这个部分我们要请经济部这里也要特别的来注意是是谢谢委员垂询好OK
transcript.whisperx[492].start 13139.591
transcript.whisperx[492].end 13163.49
transcript.whisperx[492].text 好謝謝徐欣盈委員那下一位請呂玉玲委員呂玉玲委員呂玉玲委員不在好最後一位是黃國昌委員好請黃委員謝謝主席麻煩有請經濟部部長以及地礦中心的主任還有台龐公司的代表好來請相關單位委員好
transcript.whisperx[493].start 13181.953
transcript.whisperx[493].end 13191.119
transcript.whisperx[493].text 三位好 實際的關係不一問今天有問題比較具體一點所以部長如果不熟的話請台堂或是請地方國中心待會回答我沒有問題是 謝謝
transcript.whisperx[494].start 13193.482
transcript.whisperx[494].end 13212.215
transcript.whisperx[494].text 之前我一直在追這個台龐的弊案國營事業的董事長拿來酬庸已經很扯了結果給你當國營事業的董事長胡搞瞎搞搞到納稅人賤賣國營事業的土地我講的就是無乃人賤賣國營事業的土地結果呢結果現在判刑確定了
transcript.whisperx[495].start 13222.048
transcript.whisperx[495].end 13244.309
transcript.whisperx[495].text 官也官出來了問題是啊 欠納稅的錢啊 要還這為什麼我從去年就開始追啊你敢這樣胡搞瞎搞啊每一分每一毛啊 全部都要給我要回來所以我一直在追我們的台堂到底有沒有積極的去追討上一次我跟你們在討論的時候說沒辦法啊
transcript.whisperx[496].start 13247.915
transcript.whisperx[496].end 13257.219
transcript.whisperx[496].text 我們就請他查 我們查不到他的財產啊那大碎人很困惑啊沒有財產出入club聊宇宙大爆炸奢侈晚宴開BMW7系列這什麼 這什麼跟什麼啊這社會還有基本的公平正義嗎還是只要有權有勢
transcript.whisperx[497].start 13276.598
transcript.whisperx[497].end 13299.7
transcript.whisperx[497].text 我撈夠了 我撈飽了 納稅很了得 關我什麼事啊給皮皮啊所以我才要台堂啊 好好去追蹤啊我之前有建議你們啦 說依照強制執勤法的規定 命他據實報告財產狀況這件事台堂後來有沒有做有那個台中地院
transcript.whisperx[498].start 13301.493
transcript.whisperx[498].end 13329.959
transcript.whisperx[498].text 台中的地院已經在3月25號的時候有請這個三位的要說出他的財產3月20號 今年3月20號嘛對 今年3月25 然後4月20號先停一下啦我們一樣一樣來嘛啊為什麼今年3月25才要他拒之報告財產狀況台中地院在幹嘛 在混喔欠多久啦等到在國會質詢啊台中地院才忽然想起來強制執行法怎麼規定啊
transcript.whisperx[499].start 13331.577
transcript.whisperx[499].end 13354.077
transcript.whisperx[499].text 強制執行法不熟幹什麼民事執行處的法官啊不是啦我請你們去做的事你們有去做我就不會為難你聽得懂嗎我上次質詢的時候就問你們嘛有沒有要求法院命他報告財產狀況嘛那現在法院終於命他報告財產狀況了嘛報告的結果是什麼
transcript.whisperx[500].start 13359.642
transcript.whisperx[500].end 13378.034
transcript.whisperx[500].text 包委員 這個吳乃人等人並沒有回報啦蛤 等一下提一下法院要吳乃人報告財產狀況 吳乃人沒有回報蛤 現在吳乃人是覺得怎麼樣法院要他報告財產狀況 他也給批批啊真的覺得自己是皇親國戚喔台中地院要求吳乃人報告財產狀況 吳乃連人甩都不甩台中地院接下來要做什麼事
transcript.whisperx[501].start 13389.92
transcript.whisperx[501].end 13404.007
transcript.whisperx[501].text 台中地院是有什麼樣的動作我們不太清楚我們後來4月24號的時候我們台中就有給吳乃仁一封函要請他趕快歸還這個財產4月30號的時候我們台中已經有具體的請台中地院向台中法院要管收這三位
transcript.whisperx[502].start 13414.465
transcript.whisperx[502].end 13441.965
transcript.whisperx[502].text 你有申請要管收無乃人了嘛管收的理由是什麼管收的理由是什麼沒有據實報告財產狀況要他報告連報告都不報告台中地方法院裁了沒有沒關係啊我們靜候靜候台中地方法院的判斷主席再一分鐘再一題就好了可以嗎好謝謝來請地礦中心
transcript.whisperx[503].start 13446.189
transcript.whisperx[503].end 13469.574
transcript.whisperx[503].text 那個喔 我3月的時候有跟你們講 那個馬槽啊 在那邊噴煙啊然後你們答應我馬上要封 所以我親自跑一趟然後我親自去現場了以後 你們跟我說封好了那結果 然後你也跟我說4月會完工那結果來來來 看一下 測到5月去測 還有氣體冒出有超過10ppm的硫化氫 這是旁邊的機器啊
transcript.whisperx[504].start 13470.299
transcript.whisperx[504].end 13495.085
transcript.whisperx[504].text 所以現在狀況到底怎麼樣 這個還要拖多久包委員 現在我們正在跟養管處做水保的申請還要跟那個水保署一起來申請那個時間的關係 我最後只跟你們講重點第一個 我跟你們講這件事你們答應我要做 結果做到現在還有10ppm的硫化金我沒有住在那裡
transcript.whisperx[505].start 13496.65
transcript.whisperx[505].end 13513.175
transcript.whisperx[505].text 但是有人住在那裡那裡也很多遊客三月跟你們講結果到現在還在冒有毒氣體拜託你們不管是你們自己還是那邊的承包商這個事情趕快處理好不好是可以喔可以好 謝謝好 謝謝黃國昌黃委員
transcript.whisperx[506].start 13521.357
transcript.whisperx[506].end 13537.49
transcript.whisperx[506].text 好 我們現在登記發言委員除不在場者外其餘均已發言完畢 詢答結束委員呂玉玲所提書面質詢列入記錄刊登公報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那我們現在
transcript.whisperx[507].start 13539.552
transcript.whisperx[507].end 13567.052
transcript.whisperx[507].text 來處理114年度中央政府總預算有關經濟部及所屬主管預算凍結等24案我們逐案處理第一案所列預算解凍案同意動之請問委員有無異議沒有好沒有異議通過第二案所列預算解凍案同意動之請問委員有無異議沒有好沒有異議通過第三案所列預算解凍案同意動之請問委員有無異議沒有異議
transcript.whisperx[508].start 13567.853
transcript.whisperx[508].end 13590.788
transcript.whisperx[508].text 好沒有異議通過第四案所列預算解凍案同意動之請問委員有無異議沒有沒有異議通過第五案所列預算解凍案同意動之請問委員有無異議沒有沒有異議通過第六案所列預算解凍案同意動之請問委員有無異議沒有沒有異議通過第七案所列預算解凍案同意動之請問委員有無異議沒有沒有異議通過
transcript.whisperx[509].start 13591.648
transcript.whisperx[509].end 13607.192
transcript.whisperx[509].text 第八案所列預算解凍案同意動之請問委員有異議沒有沒有異議通過第九案所列預算解凍案同意動之請問委員有異議沒有沒有異議通過第十案所列預算解凍案同意動之請問委員有異議沒有
transcript.whisperx[510].start 13607.532
transcript.whisperx[510].end 13635.275
transcript.whisperx[510].text 沒有意義通過第11案所列預算解凍案同意動之請問委員有意義沒有沒有意義通過第12案所列預算解凍案同意動之請問委員有意義沒有沒有意義通過第13案所列預算解凍案同意動之請問委員有意義沒有沒有意義通過第14案所列預算解凍案同意動之請問委員有意義沒有意義沒有意義通過第15案所列預算解凍案同意動之請問委員有意義沒有
transcript.whisperx[511].start 13635.555
transcript.whisperx[511].end 13636.596
transcript.whisperx[511].text 沒有異議 通過沒有異議 通過沒有異議 通過沒有異議 通過
transcript.whisperx[512].start 13659.855
transcript.whisperx[512].end 13686.934
transcript.whisperx[512].text 第20案所列預算解凍案同意動之請問委員有異議沒有異議沒有異議通過第21案所列預算解凍案同意動之請問委員有異議沒有異議沒有異議通過第22案所列預算解凍案同意動之請問委員有異議沒有異議沒有異議通過第23案所列預算解凍案同意動之請問委員有異議沒有異議沒有異議通過第24案所列預算解凍案同意動之請問委員有異議沒有異議沒有異議通過
transcript.whisperx[513].start 13687.794
transcript.whisperx[513].end 13712.153
transcript.whisperx[513].text 好那我們就做以下決議經濟部及所屬預算解凍案第一案自第24案均同意動之並擬據報告提報院會好那我們現在來處理114年度中央政府總預算有關國家發展委員會主管預算凍結等7案我們逐案處理第一案所列預算解凍案同意動之請問委員有異議沒有
transcript.whisperx[514].start 13713.214
transcript.whisperx[514].end 13740.584
transcript.whisperx[514].text 沒有異議通過第二案所列預算解凍案同意動之請問委員有無異議沒有沒有異議通過第三案所列預算解凍案同意動之請問委員有無異議沒有沒有異議通過第四案所列預算解凍案同意動之請問委員有無異議沒有沒有異議通過第五案所列預算解凍案同意動之請問委員有無異議沒有沒有異議通過第六案所列預算解凍案同意動之請問委員有無異議沒有沒有異議通過
transcript.whisperx[515].start 13741.184
transcript.whisperx[515].end 13765.644
transcript.whisperx[515].text 第七案所列預算解凍案同意動之請問委員有異議沒有沒有異議通過好我們也做以下決議國家發展委員會預算凍結案第一案至第七案均同意動之並擬均報告提報院會好那我們就預算解凍案就處理到現在那這個相關部會如果跟等一下第三案沒有關係的就可以自行離開
transcript.whisperx[516].start 13768.442
transcript.whisperx[516].end 13769.346
transcript.whisperx[516].text 好 我們現在繼續進行討論事項請宣讀第三案
transcript.whisperx[517].start 13773.22
transcript.whisperx[517].end 13798.762
transcript.whisperx[517].text 第三案 繼續審查 1 行政行情審議個人資料保護法部分條件修正查案2 本院委員王美惠等18人理據個人資料保護法部分條件修正查案3 本院委員羅廷懷等17人理據個人資料保護法部分條件修正查案4 本院委員李坤城等16人理據個人資料保護法部分條件修正查案5 本院委員郭怡情等19人理據個人資料保護法部分條件修正查案
transcript.whisperx[518].start 13799.563
transcript.whisperx[518].end 13810.837
transcript.whisperx[518].text 6.本院委員陳廷飛等事項擬具個人資料保護法第12條、第27條及第48條條文修正法案7.本院委員蔡宜等事項擬具個人資料保護法部分條文修正法案宣讀完畢
transcript.whisperx[519].start 13816.136
transcript.whisperx[519].end 13835.477
transcript.whisperx[519].text 討論事項所列議案經紀委員會在5月8日第12次會議已詢答完畢之後院會又交付本委員會提案版本有三案我們並案審查我們請提案委員說明提案要職那好這個
transcript.whisperx[520].start 13838.467
transcript.whisperx[520].end 13866.246
transcript.whisperx[520].text 請陳情輝委員陳情輝委員就如書面提案要指那我的部分一樣是如我的書面提案要指就不另外再說明好那行政機關的書面報告請委員參閱並列入公報記錄那我們進行審查個人資料保護法部分條文修正草案我們現在開始進行廣泛討論那是否有要登記沒有登記發言的話
transcript.whisperx[521].start 13867.046
transcript.whisperx[521].end 13872.256
transcript.whisperx[521].text 我們就請議事人員宣讀所有條文若有修正動議及附帶決議請一併宣讀宣讀完畢後再進行協商請宣讀
transcript.whisperx[522].start 13877.114
transcript.whisperx[522].end 13904.225
transcript.whisperx[522].text 個人資料保護法部分條文修正草案行政院提案第一條之一本法之主管機關為個人資料保護委員會第一條之二中央及地方各級政府應致力配合推動達成本法立法目的之具體措施確保其所轄公務機關及所管非公務機關於執行職務及業務時遵守本法規定共同建構安全可信賴之個人資料保護環境
transcript.whisperx[523].start 13905.546
transcript.whisperx[523].end 13925.061
transcript.whisperx[523].text 被落实个人资料保护相关事项,主管机关得召开个人资料保护政策推进会议,其运作方式及其他相关事项之办法由主管机关定之。第十二条,公务机关或非公务机关之息所保有之个人资料被窃取、篡改、毁损。
transcript.whisperx[524].start 13926.102
transcript.whisperx[524].end 13941.433
transcript.whisperx[524].text 滅失或洩漏時應通知當事人前項情形符合一定通報範圍者公務機關或非公務機關應通報下列機關依公務機關向主管機關及依第21條之一第一項規定
transcript.whisperx[525].start 13942.013
transcript.whisperx[525].end 13959.453
transcript.whisperx[525].text 收受其实施情形之机关通报二非公务机关向主管机关通报主管机关受理通报后并转之其目的事业主管机关第一项情形公务机关或非公务机关应采取及时有效之应变措施
transcript.whisperx[526].start 13960.865
transcript.whisperx[526].end 13989.324
transcript.whisperx[526].text 防止事故之扩大及记载相关事实影响已采取之因应措施并保存相关记录已被主管机关查验前三项应通知或通报之内容方式实现与通报范围应变措施记录保存及其他相关事项之办法由主管机关定之第十八条公务机关应自个人资料保护长由机关首长指派适当人员兼任
transcript.whisperx[527].start 13990.144
transcript.whisperx[527].end 14000.435
transcript.whisperx[527].text 並配置適當人力及資源負責統籌推動及督導考核本機關所屬或所監督公務機關之個人資料保護相關事務
transcript.whisperx[528].start 14001.843
transcript.whisperx[528].end 14021.11
transcript.whisperx[528].text 公務機關應指定專人辦理個人資料檔案安全維護事項防止個人資料被竊取篡改毀損滅失或洩漏其安全維護管理機制應採取之措施及其他相關事項之辦法由主管機關定之公務機關不得因所屬人員
transcript.whisperx[529].start 14021.73
transcript.whisperx[529].end 14038.563
transcript.whisperx[529].text 依法執行個人資料保護職務而予以不利之處分或管理措施主管機關應妥善規劃推動第一項及第二項相關人員之職能訓練增進其個人資料保護專業職能第一項第二項相關人員之職長
transcript.whisperx[530].start 14039.884
transcript.whisperx[530].end 14067.138
transcript.whisperx[530].text 只能条件、训练及其他相关事项之办法由主管机关定之第二十条之一非公务机关保有个人资料档案者应办理安全维护事项防止个人资料被窃取篡改、毁损、灭失或泄露前项个人资料档案安全维护事项管理机制应采取之措施及其他相关事项之办法由主管机关定之
transcript.whisperx[531].start 14067.978
transcript.whisperx[531].end 14096.246
transcript.whisperx[531].text 第21條非公務機關違國際傳輸個人資料而有下列情形之一者主管機關得限制之一涉及國家重大利益二國際條約或協定有特別規定三接受國對於個人資料之保護未有完善之法規致有損當事人權益之餘四以迂迴方法向第三國地區傳輸個人資料規避本法
transcript.whisperx[532].start 14097.54
transcript.whisperx[532].end 14117.178
transcript.whisperx[532].text 第三章之一行政監督第一节对公务机关之监督第二十一条之一公务机关应每年向上级机关或监督机关提出个人资料保护管理事项实施情形无上级机关或监督机关者依下列各款规定办理一总统府
transcript.whisperx[533].start 14117.778
transcript.whisperx[533].end 14137.737
transcript.whisperx[533].text 國家安全會議及五院向主管機關提出二直轄市政府直轄市議會縣市政府縣市議會向主管機關提出三直轄市山地原住民區公所直轄市山地原住民區民代表會向直轄市政府提出鄉鎮市公所
transcript.whisperx[534].start 14138.737
transcript.whisperx[534].end 14162.353
transcript.whisperx[534].text 鄉鎮市民代表會向縣政府提出公務機關應督導及集合其所屬所監督之公務機關所轄鄉鎮市公所直轄市山地原住民區公所及鄉鎮市民代表會直轄市山地原住民區民代表會之個人資料保護管理事項實施情形依前項規定集合後
transcript.whisperx[535].start 14162.953
transcript.whisperx[535].end 14183.352
transcript.whisperx[535].text 发现受集合机关实施情形有缺失或待改善者受集合机关因向集合机关提出改善报告并由集合机关审查后连同集合结果送交主管机关集合机关或主管机关任有必要时得要求受集合机关进行说明或调整
transcript.whisperx[536].start 14183.932
transcript.whisperx[536].end 14208.587
transcript.whisperx[536].text 前四项实施情形之必要内容 集合之频率 内容与方法 结果之交付改善报告之提出及其他相关事项之办法 由主管机关定之第21条之二 主管机关得定期或不定期集合公务机关之个人资料保护管理事项实施情形必要时得请求前条第二项锁定集合机关协助
transcript.whisperx[537].start 14209.187
transcript.whisperx[537].end 14223.878
transcript.whisperx[537].text 依前項規定集合後發現受集合機關實施情形有缺失或待改善者受集合機關應提出改善報告送交依前條第一項規定收受其實施情形之機關審查後由該審查機關
transcript.whisperx[538].start 14226.73
transcript.whisperx[538].end 14243.48
transcript.whisperx[538].text 送交主管機關前項審查機關或主管機關任有必要時得要求受集合機關進行說明或調整前三項集合之頻率內容與方法改善報告之提出及其他相關事項之辦法由主管機關定之
transcript.whisperx[539].start 14244.62
transcript.whisperx[539].end 14262.201
transcript.whisperx[539].text 依前条及本条参与集合之人员对于应执行集合所知悉或所持有资料不保密义务第21条之三公务机关有违反本法规定之余时主管机关得请公务机关提出资料及说明
transcript.whisperx[540].start 14262.748
transcript.whisperx[540].end 14281.038
transcript.whisperx[540].text 或派員攜帶執行職務證明文件進行實地檢查除因法規規定有保密之必要者外公務機關及其相關人員有配合之義務前項實地檢查必要時得請求第21條之一第二項鎖定集合機關協助參與檢查之人員對於因
transcript.whisperx[541].start 14284.7
transcript.whisperx[541].end 14311.394
transcript.whisperx[541].text 执行检查所知悉或持有之资料不保密义务第21条之四公务机关有违反本法规定之情势者由主管机关另期限其改正该公务机关应依限为适当之改正并应将改正情形以书面答复主管机关公务机关未依前项规定改正者主管机关得公布其名称及其违法情形
transcript.whisperx[542].start 14312.134
transcript.whisperx[542].end 14321.905
transcript.whisperx[542].text 公務機關所屬人員未依本法規定辦理者應按其情節輕重依相關法令規定於懲戒懲處或處罰
transcript.whisperx[543].start 14324.502
transcript.whisperx[543].end 14341.453
transcript.whisperx[543].text 第21條之五本節之規定於情報機關不適用之第二節對非公務機關之監督第22條主管機關任非公務機關有違反本法規定之餘或未檢視其落實本法情形而任有必要時
transcript.whisperx[544].start 14342.614
transcript.whisperx[544].end 14371.549
transcript.whisperx[544].text 得依下列方式進行檢查一通知非公務機關或其相關人員陳述意見二通知非公務機關或其相關人員提供必要之文書資料物品或為其他配合措施三自行或會同中央目的事業主管機關直轄市縣市政府或其他有關機關派員攜帶執行職務證明文件進入檢查並得令相關人員為必要之說明
transcript.whisperx[545].start 14372.082
transcript.whisperx[545].end 14392.58
transcript.whisperx[545].text 配合措施或提供相关证明资料前项检视落实本法情形检查作业之规划评估方式考量因素综合目的事业主管机关职辖市县市政府或有关机关之协力事项及其他相关事项之办法由主管机关定之
transcript.whisperx[546].start 14393.567
transcript.whisperx[546].end 14409.871
transcript.whisperx[546].text 主管機關為第一項檢查時,對於得目錄或可為證據之個人資料或其檔案,得扣留或複製之對於應扣留或複製之物,得要求其所有人、持有人或保管人提出或交付
transcript.whisperx[547].start 14410.371
transcript.whisperx[547].end 14429.111
transcript.whisperx[547].text 無正當理由拒絕提出交付或抗拒扣留或複製者得採取對該非公務機關權益損害最少之方法強制為之對於依第一項或前項所為之通知進入檢查或處分非公務機關及其相關人員
transcript.whisperx[548].start 14429.791
transcript.whisperx[548].end 14452.337
transcript.whisperx[548].text 無正當理由不得規避妨礙或拒絕主管機關為第一項第三款檢查時得率同資訊電信法律或其他專業人員共同為之參與檢查之人員對於應執行檢查所知悉或持有之資料不保密義務並應注意被檢查者之名譽
transcript.whisperx[549].start 14453.197
transcript.whisperx[549].end 14479.249
transcript.whisperx[549].text 第一項檢查之執行主管機關於必要時得請求中央目的事業主管機關直辖市縣市政府或其他相關機關構配合採取有效措施或提供協助第二三條對於前條第三項扣留物或複製物應加封間或其他標示並為適當之處置其不便搬運或保管者得命
transcript.whisperx[550].start 14480.109
transcript.whisperx[550].end 14508.432
transcript.whisperx[550].text 得命人看守或交由所有人或其他適當之人保管扣留物或複製物以無留存之必要或決定不予處罰或為沒入之裁處者應發還之但因沒入或為調查他案應留存者不在此限第24條非公務機關物資所有人持有人保管人或利害關係人對前二條之要求強制扣留或複製行為不符者
transcript.whisperx[551].start 14509.173
transcript.whisperx[551].end 14536.327
transcript.whisperx[551].text 得向主管機關聲明異議前向聲明異議主管機關認為有理由者應立即停止或變更其行為認為無理由者得繼續執行經該聲明異議之人請求時應將聲明異議之理由製作記錄交付之對於主管機關前向決定不符者僅得於對該案件之實體決定聲明不符時以並聲明之
transcript.whisperx[552].start 14537.045
transcript.whisperx[552].end 14555.542
transcript.whisperx[552].text 但第一项之人依法不得对该案件之实体决定,声明不符时,得单独对第一项之行为进行提起行政诉讼。第25条,非公务机关有违反本法规定之情事者,主管机关除依本法规定,才处罚房外。
transcript.whisperx[553].start 14556.685
transcript.whisperx[553].end 14580.781
transcript.whisperx[553].text 並得為下列處分1.禁止蒐集、處理或利用個人資料2.命令刪除經處理之個人資料檔案3.沒入或令銷毀違法蒐集之個人資料4.公布違法情形及其姓名或名稱與負責人主管機關為前項處分時應於防止違反本法規定情勢之必要範圍內
transcript.whisperx[554].start 14582.15
transcript.whisperx[554].end 14586.489
transcript.whisperx[554].text 採取對該非公務機關權益損害最少之方法為之
transcript.whisperx[555].start 14587.827
transcript.whisperx[555].end 14610.342
transcript.whisperx[555].text 第26條主管機關1第22條規定檢查後未發現有違反本法規定之情勢者經該非公務機關同意後得公布檢查結果第27條刪除第41條意圖為自己或第三人不法之利益或損害他人之利益而違反第6條第一項第15條第16條第19條第20條第一項規定
transcript.whisperx[556].start 14614.785
transcript.whisperx[556].end 14635.619
transcript.whisperx[556].text 或依第21条限制国际传输之命令或处分足深损害于他人者处5年以下有期徒刑得并科新台币100万元以下罚金第47条非公务机关有下列情事之一者由主管机关处新台币5万元以上
transcript.whisperx[557].start 14636.786
transcript.whisperx[557].end 14662.593
transcript.whisperx[557].text 50萬元以下罰款並令限期改正藉其未改正者按次處罰之一違反第6條第一項規定二違反第19條規定三違反第20條第一項規定四違反一第21條規定所為限制國際傳輸之命令或處分第48條非公務機關有下列情勢之一者由主管機關令其限期改正
transcript.whisperx[558].start 14663.103
transcript.whisperx[558].end 14675.46
transcript.whisperx[558].text 借其未改正者按次处新台币2万元以上20万元以下罚还1.违反第8条或第9条规定2.违反第10条第11条或第13条规定
transcript.whisperx[559].start 14676.61
transcript.whisperx[559].end 14700.993
transcript.whisperx[559].text 3.違反第十二條第一項或依第四項鎖定辦法中有關通知之內容、方式或實現之規定4.違反第二十條第二項或第三項規定非公務機關違反第十二條第二項、第三項或依第四項鎖定辦法中有關通報之內容、方式實現應變措施記錄保存之規定者
transcript.whisperx[560].start 14702.332
transcript.whisperx[560].end 14724.191
transcript.whisperx[560].text 由主管機關儲新台幣2萬元以上20萬元以下罰還並另期限期改正借其未改正者按次處罰非公務機關有下列情勢之一者由主管機關儲新台幣2萬元以上200萬元以下罰還並另期限期改正借其未改正者按次儲新台幣15萬元以上1500萬元以下罰還
transcript.whisperx[561].start 14726.857
transcript.whisperx[561].end 14753.875
transcript.whisperx[561].text 一違反第20條之一第一項規定二違反一第20條之一第二項鎖定辦法中有關個人資料檔案安全維護事項管理機制應採取措施之規定三為一第51條之一第三項訂定個人資料檔案安全維護計畫或業務終止後個人資料處理方法四違反第51條之一第四項
transcript.whisperx[562].start 14754.798
transcript.whisperx[562].end 14781.586
transcript.whisperx[562].text 锁定办法中有关计划或处理方法应具备之内容执行方式或基准之规定非公务机关有前项各款情势之一其情节重大者由主管机关处新台币15万元以上1500万元以下罚还并令其限期改正借其未改正者按次处罚第49条非公务机关违反第22条第4项规定者
transcript.whisperx[563].start 14782.113
transcript.whisperx[563].end 14808.16
transcript.whisperx[563].text 由主管機關處新台幣2萬元以上20萬元以下罰還第51條之一第22條第一項第三項至第7項第23條至第26條第47條至第50條鎖定對非公務機關之監督管理事項於主管機關成立之日起6年內得由主管機關報請行政院公告一定範圍之非公務機關
transcript.whisperx[564].start 14809.488
transcript.whisperx[564].end 14822.036
transcript.whisperx[564].text 仍由中央目的事業主管機關或直轄市縣市政府管轄主管機關應每二年會商相關機關後報請行政院調整簡列前項公告鎖定一定範圍
transcript.whisperx[565].start 14823.757
transcript.whisperx[565].end 14841.222
transcript.whisperx[565].text 非公務機關中央目的事業主管機關得指定前二項公告範圍之非公務機關訂定個人資料檔案安全維護計畫或業務終止後個人資料處理方法前項計畫處理方法應具備之內容
transcript.whisperx[566].start 14842.202
transcript.whisperx[566].end 14871.751
transcript.whisperx[566].text 执行方式或基准及其他相关事项之办法由中央目的事业主管机关比照主管机关一第20条之一第二项定定之办法定之并得为更严格之规定第52条第12条第二项第22条第一项第三项第5项第7项第23条及第24条规定由主管机关执行之权限主管机关得委托或委办
transcript.whisperx[567].start 14872.27
transcript.whisperx[567].end 14900.159
transcript.whisperx[567].text 其他机关购行政法人或公益团体办理于前条第一项及第二项公告之范围内中央目的事业主管机关或直辖市县市政府得将第22条第一项第三项第五项第七项第23条及第24条规定之执行权限委任所属机关委托或委办其他机关购行政法人或公益团体办理
transcript.whisperx[568].start 14901.355
transcript.whisperx[568].end 14923.716
transcript.whisperx[568].text 1.前二项规定受委托委办或委任者,其成员对于因执行相关事物所知悉或持有之资料赋保密义务。1.第一项及第二项之公益团体不得依第34条第一项规定接受当事人授予诉讼实施权,以自己之名义提起损害赔偿诉讼。
transcript.whisperx[569].start 14924.386
transcript.whisperx[569].end 14934.218
transcript.whisperx[569].text 第53條主管機關應訂定特定目的及個人資料類別提供公務機關及非公務機關參考使用第53條之一
transcript.whisperx[570].start 14936.071
transcript.whisperx[570].end 14960.929
transcript.whisperx[570].text 對主管機關依本法所為之行政處分不符者直接適用行政訴訟程序於第51條之一第一項第二項公告範圍內之非公務機關對中央目的事業主管機關或直轄市縣市政府依本法所為之行政處分不符者向主管機關提起訴願但行政處分系由中央行政機關
transcript.whisperx[571].start 14962.432
transcript.whisperx[571].end 14989.66
transcript.whisperx[571].text 組織基準法所定之獨立機關所為者直接適用行政訴訟程序對本法中華民國圈年圈月圈日修正之條文施行前依本法所為之行政處分不符於修正實施後提起訴願者應向主管機關為之本法中華民國圈年圈月圈日修正之條文實施前已受理尚未
transcript.whisperx[572].start 14990.04
transcript.whisperx[572].end 14991.481
transcript.whisperx[572].text 委員王美惠等18人提案
transcript.whisperx[573].start 15009.116
transcript.whisperx[573].end 15036.72
transcript.whisperx[573].text 第一条之一同行政院提案第一条之二同行政院提案第十二条第一项据中灭失改为减失莫据修正为应于二十四小时内通知当事人第四项首据修正为前二项应通报之内容方式实现与通报范围应变措施记录保存及其他相关事项之办法其余同行政院提案第十八条同行政院提案
transcript.whisperx[574].start 15037.267
transcript.whisperx[574].end 15053.839
transcript.whisperx[574].text 第20條之一同行政院提案 第21條同行政院提案 第三章之一張明同行政院提案 第一節杰明同行政院提案 第21條之一文字同行政院提案 第21條之二同行政院提案 第21條之三
transcript.whisperx[575].start 15055.39
transcript.whisperx[575].end 15083.522
transcript.whisperx[575].text 同行政院提案第21條之四第一項倒數第二句該公務機關應一線為適當之改正與處置第二項第二句主管機關應公佈其名稱及其違法情形其餘同行政院提案第21條之五同行政院提案第二節解明同行政院提案第22條除第一項序文第二句或未檢視其落實本法情形
transcript.whisperx[576].start 15084.591
transcript.whisperx[576].end 15099.555
transcript.whisperx[576].text 而认为有必要时,其余文字同行政院提案。第23条同行政院提案。第24条同行政院提案。第25条除第一项第三款及第四款,维持现行条文其余同行政院提案。
transcript.whisperx[577].start 15100.305
transcript.whisperx[577].end 15129.733
transcript.whisperx[577].text 第26條同行政院提案第27條刪除第41條同行政院提案第47條同行政院提案第48條第一項序文第二句修正為由主管機關令限期改正第二款維持現行條文其餘同行政院提案第49條同行政院提案第51條之一除第一項第二句修正為於主管機關成立之日起四年內第二項首句修正為
transcript.whisperx[578].start 15130.441
transcript.whisperx[578].end 15155.414
transcript.whisperx[578].text 主管機關因每一年會商相關機關後其餘文字同行政院提案第52條除第一項第二句修正為主管機關得委任或委辦其他機關構行政法人或公益團體辦理其餘文字同行政院提案第53條同行政院提案第53條之一同行政院提案第55條同行政院提案
transcript.whisperx[579].start 15156.431
transcript.whisperx[579].end 15168.89
transcript.whisperx[579].text 委員羅廷偉等17人提案第一條之一同行政院提案第一條之二同行政院提案第12條同行政院提案第18條同行政院提案第20條之一同行政院提案
transcript.whisperx[580].start 15169.4
transcript.whisperx[580].end 15193.452
transcript.whisperx[580].text 第21條同行政院提案第3章之1章名同行政院提案第1節結名同行政院提案第21條之1同行政院提案第21條之2同行政院提案第21條之3同行政院提案第21條之4同行政院提案第21條之5同行政院提案第2節結名同行政院提案
transcript.whisperx[581].start 15194.052
transcript.whisperx[581].end 15216.781
transcript.whisperx[581].text 第22條同行政院提案第23條同行政院提案第24條同行政院提案第25條同行政院提案第26條同行政院提案第27條刪除第41條同行政院提案第47條同行政院提案第48條同行政院提案第49條同行政院提案第51條之一
transcript.whisperx[582].start 15218.177
transcript.whisperx[582].end 15233.818
transcript.whisperx[582].text 除第一項第二具修正為與主管機關成立之日起五年內其餘文字同行政院提案第52條同行政院提案第53條同行政院提案第53條之一同行政院提案第55條同行政院提案
transcript.whisperx[583].start 15235.236
transcript.whisperx[583].end 15263.735
transcript.whisperx[583].text 委員李昆城等16人提案第一條之一同行政院提案第一條之二同行政院提案第12條同行政院提案第18條同行政院提案第20條之一同行政院提案第21條同行政院提案第三章之一張明同行政院提案第一節杰明同行政院提案第21條之一同行政院提案第21條之二第一項前段為主管機關應每兩年定期集合
transcript.whisperx[584].start 15264.455
transcript.whisperx[584].end 15293.887
transcript.whisperx[584].text 公务机关之个人资料保护管理四项实施情形第四项增订前三项集合之结果应每年定期主动公开其余同行政院提案第21条之三同行政院提案第21条之四同行政院提案第21条之五同行政院提案第二节结名同行政院提案第22条同行政院提案第23条同行政院提案第24条同行政院提案
transcript.whisperx[585].start 15294.622
transcript.whisperx[585].end 15322.28
transcript.whisperx[585].text 第25條同行政院提案第26條同行政院提案第27條三除第41條同行政院提案第47條同行政院提案第48條同行政院提案第49條同行政院提案第51條之一同行政院提案第52條同行政院提案第53條同行政院提案第53條之一同行政院提案第55條同行政院提案
transcript.whisperx[586].start 15323.12
transcript.whisperx[586].end 15347.001
transcript.whisperx[586].text 委員郭玉琴等19人提案第一條之一同行政院提案第一條之二同行政院提案第12條增訂第五項主管機關因每年編制事故統計報告報請行政院被查並公開發布其餘同行政院提案第18條同行政院提案第20條之一同行政院提案第21條同行政院提案
transcript.whisperx[587].start 15347.501
transcript.whisperx[587].end 15371.45
transcript.whisperx[587].text 第三章之一张明同行政院提案第一节杰明同行政院提案第二十一条之一同行政院提案第二十一条之二同行政院提案第二十一条之三同行政院提案第二十一条之四同行政院提案第二十一条之五同行政院提案第二节杰明同行政院提案第二十二条同行政院提案第二十三条同行政院提案
transcript.whisperx[588].start 15371.977
transcript.whisperx[588].end 15399.915
transcript.whisperx[588].text 第24條同行政院提案第25條同行政院提案第26條同行政院提案第27條刪除第41條同行政院提案第47條同行政院提案第48條同行政院提案第49條同行政院提案第51條之一同行政院提案第52條同行政院提案第53條同行政院提案第53條之一同行政院提案
transcript.whisperx[589].start 15400.595
transcript.whisperx[589].end 15424.313
transcript.whisperx[589].text 第53條之二主管機關應設立個人資料保護諮詢及權益協助平台提供民眾協助法律諮詢及教育資源並定期辦理教育推廣及培訓課程各級政府應配合推廣資料素養教育將個人資料保護納入公民教育課程規劃第55條同行政院提案
transcript.whisperx[590].start 15425.885
transcript.whisperx[590].end 15447.382
transcript.whisperx[590].text 委員陳庭飛等16人提案第12條同行政院提案第27條內容條文內容同行政院提案第20條之一第48條除第三項第一款及第二款所列違反之條次修正為第27條第三第四款刪除其餘同行政院提案
transcript.whisperx[591].start 15448.561
transcript.whisperx[591].end 15475.901
transcript.whisperx[591].text 委員蔡宇等18人提案第一條之一同行政院提案第一條之二同行政院提案第12條同行政院提案第18條同行政院提案第20條之一同行政院提案第21條同行政院提案第三章之一章名同行政院提案第一節結名同行政院提案第21條之一同行政院提案第21條之二同行政院提案第21條之三同行政院提案
transcript.whisperx[592].start 15476.381
transcript.whisperx[592].end 15494.592
transcript.whisperx[592].text 第21條知四同行政院提案第21條知五同行政院提案第二節解明同行政院提案第22條同行政院提案第23條同行政院提案第24條同行政院提案第25條同行政院提案第26條同行政院提案第27條
transcript.whisperx[593].start 15495.771
transcript.whisperx[593].end 15496.371
transcript.whisperx[593].text 宣讀完畢好
transcript.whisperx[594].start 15524.625
transcript.whisperx[594].end 15546.09
transcript.whisperx[594].text 那因為剛剛有跟謝昭偉討論一下所以我們今天就先處理到這裡就好所以我們本案定期繼續審查那本日議程所列報告及討論事項均已處理完畢謝謝大家我們現在散會
transcript.whisperx[595].start 15559.536
transcript.whisperx[595].end 15561.057
transcript.whisperx[595].text 请不吝点赞订阅订阅