IVOD_ID |
15969 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Full/1M/15969 |
日期 |
2024-05-30 |
會議資料.會議代碼 |
委員會-11-1-19-14 |
會議資料.會議代碼:str |
第11屆第1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 |
1 |
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1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 |
2024-05-30T08:31:17+08:00 |
結束時間 |
2024-05-30T12:38:00+08:00 |
影片長度 |
04:06:43 |
支援功能[0] |
ai-transcript |
video_url |
https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/16eb79f0bb3b77db1dc129ce818bd32869e13353c436ea853be8d109af184be436d1ded34696ade15ea18f28b6918d91.mp4/playlist.m3u8 |
會議時間 |
2024-05-30T09:00:00+08:00 |
會議名稱 |
立法院第11屆第1會期經濟委員會第14次全體委員會議(事由:邀請國家發展委員會主任委員列席報告業務概況,並備質詢。【5月27日、5月29日及5月30日三天一次會】) |
委員名稱 |
完整會議 |
委員發言時間 |
08:31:17 - 12:38:00 |
transcript.pyannote[0].speaker |
SPEAKER_03 |
transcript.pyannote[0].start |
1807.51221875 |
transcript.pyannote[0].end |
1810.12784375 |
transcript.pyannote[1].speaker |
SPEAKER_03 |
transcript.pyannote[1].start |
1810.49909375 |
transcript.pyannote[1].end |
1810.97159375 |
transcript.pyannote[2].speaker |
SPEAKER_09 |
transcript.pyannote[2].start |
1810.97159375 |
transcript.pyannote[2].end |
1811.03909375 |
transcript.pyannote[3].speaker |
SPEAKER_03 |
transcript.pyannote[3].start |
1811.03909375 |
transcript.pyannote[3].end |
1811.96721875 |
transcript.pyannote[4].speaker |
SPEAKER_09 |
transcript.pyannote[4].start |
1811.96721875 |
transcript.pyannote[4].end |
1812.03471875 |
transcript.pyannote[5].speaker |
SPEAKER_03 |
transcript.pyannote[5].start |
1812.03471875 |
transcript.pyannote[5].end |
1812.96284375 |
transcript.pyannote[6].speaker |
SPEAKER_09 |
transcript.pyannote[6].start |
1812.96284375 |
transcript.pyannote[6].end |
1813.03034375 |
transcript.pyannote[7].speaker |
SPEAKER_03 |
transcript.pyannote[7].start |
1813.03034375 |
transcript.pyannote[7].end |
1813.97534375 |
transcript.pyannote[8].speaker |
SPEAKER_09 |
transcript.pyannote[8].start |
1813.97534375 |
transcript.pyannote[8].end |
1814.02596875 |
transcript.pyannote[9].speaker |
SPEAKER_03 |
transcript.pyannote[9].start |
1814.02596875 |
transcript.pyannote[9].end |
1814.97096875 |
transcript.pyannote[10].speaker |
SPEAKER_09 |
transcript.pyannote[10].start |
1814.97096875 |
transcript.pyannote[10].end |
1815.03846875 |
transcript.pyannote[11].speaker |
SPEAKER_03 |
transcript.pyannote[11].start |
1815.03846875 |
transcript.pyannote[11].end |
1816.27034375 |
transcript.pyannote[12].speaker |
SPEAKER_03 |
transcript.pyannote[12].start |
1818.26159375 |
transcript.pyannote[12].end |
1824.45471875 |
transcript.pyannote[13].speaker |
SPEAKER_03 |
transcript.pyannote[13].start |
1824.67409375 |
transcript.pyannote[13].end |
1827.88034375 |
transcript.pyannote[14].speaker |
SPEAKER_03 |
transcript.pyannote[14].start |
1828.21784375 |
transcript.pyannote[14].end |
1829.11221875 |
transcript.pyannote[15].speaker |
SPEAKER_03 |
transcript.pyannote[15].start |
1829.36534375 |
transcript.pyannote[15].end |
1831.01909375 |
transcript.pyannote[16].speaker |
SPEAKER_15 |
transcript.pyannote[16].start |
1842.13971875 |
transcript.pyannote[16].end |
1842.47721875 |
transcript.pyannote[17].speaker |
SPEAKER_15 |
transcript.pyannote[17].start |
1842.57846875 |
transcript.pyannote[17].end |
1844.68784375 |
transcript.pyannote[18].speaker |
SPEAKER_15 |
transcript.pyannote[18].start |
1844.99159375 |
transcript.pyannote[18].end |
1848.19784375 |
transcript.pyannote[19].speaker |
SPEAKER_15 |
transcript.pyannote[19].start |
1848.34971875 |
transcript.pyannote[19].end |
1864.26284375 |
transcript.pyannote[20].speaker |
SPEAKER_15 |
transcript.pyannote[20].start |
1864.60034375 |
transcript.pyannote[20].end |
1867.46909375 |
transcript.pyannote[21].speaker |
SPEAKER_15 |
transcript.pyannote[21].start |
1867.89096875 |
transcript.pyannote[21].end |
1868.56596875 |
transcript.pyannote[22].speaker |
SPEAKER_15 |
transcript.pyannote[22].start |
1868.61659375 |
transcript.pyannote[22].end |
1869.40971875 |
transcript.pyannote[23].speaker |
SPEAKER_15 |
transcript.pyannote[23].start |
1869.49409375 |
transcript.pyannote[23].end |
1879.83846875 |
transcript.pyannote[24].speaker |
SPEAKER_15 |
transcript.pyannote[24].start |
1880.12534375 |
transcript.pyannote[24].end |
1898.16471875 |
transcript.pyannote[25].speaker |
SPEAKER_15 |
transcript.pyannote[25].start |
1898.46846875 |
transcript.pyannote[25].end |
1953.53159375 |
transcript.pyannote[26].speaker |
SPEAKER_15 |
transcript.pyannote[26].start |
1953.90284375 |
transcript.pyannote[26].end |
1954.37534375 |
transcript.pyannote[27].speaker |
SPEAKER_15 |
transcript.pyannote[27].start |
1954.72971875 |
transcript.pyannote[27].end |
1987.24784375 |
transcript.pyannote[28].speaker |
SPEAKER_15 |
transcript.pyannote[28].start |
1988.04096875 |
transcript.pyannote[28].end |
2008.45971875 |
transcript.pyannote[29].speaker |
SPEAKER_15 |
transcript.pyannote[29].start |
2008.81409375 |
transcript.pyannote[29].end |
2015.39534375 |
transcript.pyannote[30].speaker |
SPEAKER_15 |
transcript.pyannote[30].start |
2015.61471875 |
transcript.pyannote[30].end |
2022.92159375 |
transcript.pyannote[31].speaker |
SPEAKER_15 |
transcript.pyannote[31].start |
2023.02284375 |
transcript.pyannote[31].end |
2027.46096875 |
transcript.pyannote[32].speaker |
SPEAKER_15 |
transcript.pyannote[32].start |
2027.96721875 |
transcript.pyannote[32].end |
2029.09784375 |
transcript.pyannote[33].speaker |
SPEAKER_15 |
transcript.pyannote[33].start |
2029.60409375 |
transcript.pyannote[33].end |
2052.23346875 |
transcript.pyannote[34].speaker |
SPEAKER_15 |
transcript.pyannote[34].start |
2052.53721875 |
transcript.pyannote[34].end |
2065.22721875 |
transcript.pyannote[35].speaker |
SPEAKER_15 |
transcript.pyannote[35].start |
2065.90221875 |
transcript.pyannote[35].end |
2070.12096875 |
transcript.pyannote[36].speaker |
SPEAKER_15 |
transcript.pyannote[36].start |
2070.17159375 |
transcript.pyannote[36].end |
2071.03221875 |
transcript.pyannote[37].speaker |
SPEAKER_15 |
transcript.pyannote[37].start |
2071.50471875 |
transcript.pyannote[37].end |
2078.82846875 |
transcript.pyannote[38].speaker |
SPEAKER_15 |
transcript.pyannote[38].start |
2079.18284375 |
transcript.pyannote[38].end |
2099.04471875 |
transcript.pyannote[39].speaker |
SPEAKER_15 |
transcript.pyannote[39].start |
2099.14596875 |
transcript.pyannote[39].end |
2101.94721875 |
transcript.pyannote[40].speaker |
SPEAKER_15 |
transcript.pyannote[40].start |
2102.23409375 |
transcript.pyannote[40].end |
2111.81909375 |
transcript.pyannote[41].speaker |
SPEAKER_15 |
transcript.pyannote[41].start |
2112.02159375 |
transcript.pyannote[41].end |
2133.46971875 |
transcript.pyannote[42].speaker |
SPEAKER_15 |
transcript.pyannote[42].start |
2133.84096875 |
transcript.pyannote[42].end |
2135.32596875 |
transcript.pyannote[43].speaker |
SPEAKER_15 |
transcript.pyannote[43].start |
2135.66346875 |
transcript.pyannote[43].end |
2144.45534375 |
transcript.pyannote[44].speaker |
SPEAKER_15 |
transcript.pyannote[44].start |
2144.70846875 |
transcript.pyannote[44].end |
2156.38596875 |
transcript.pyannote[45].speaker |
SPEAKER_15 |
transcript.pyannote[45].start |
2156.89221875 |
transcript.pyannote[45].end |
2164.03034375 |
transcript.pyannote[46].speaker |
SPEAKER_15 |
transcript.pyannote[46].start |
2164.18221875 |
transcript.pyannote[46].end |
2170.17284375 |
transcript.pyannote[47].speaker |
SPEAKER_15 |
transcript.pyannote[47].start |
2170.40909375 |
transcript.pyannote[47].end |
2188.66784375 |
transcript.pyannote[48].speaker |
SPEAKER_15 |
transcript.pyannote[48].start |
2188.81971875 |
transcript.pyannote[48].end |
2190.11909375 |
transcript.pyannote[49].speaker |
SPEAKER_15 |
transcript.pyannote[49].start |
2190.45659375 |
transcript.pyannote[49].end |
2202.43784375 |
transcript.pyannote[50].speaker |
SPEAKER_15 |
transcript.pyannote[50].start |
2202.82596875 |
transcript.pyannote[50].end |
2204.73284375 |
transcript.pyannote[51].speaker |
SPEAKER_15 |
transcript.pyannote[51].start |
2205.07034375 |
transcript.pyannote[51].end |
2208.66471875 |
transcript.pyannote[52].speaker |
SPEAKER_15 |
transcript.pyannote[52].start |
2209.03596875 |
transcript.pyannote[52].end |
2214.01409375 |
transcript.pyannote[53].speaker |
SPEAKER_15 |
transcript.pyannote[53].start |
2214.19971875 |
transcript.pyannote[53].end |
2215.02659375 |
transcript.pyannote[54].speaker |
SPEAKER_15 |
transcript.pyannote[54].start |
2215.48221875 |
transcript.pyannote[54].end |
2219.75159375 |
transcript.pyannote[55].speaker |
SPEAKER_15 |
transcript.pyannote[55].start |
2220.08909375 |
transcript.pyannote[55].end |
2226.26534375 |
transcript.pyannote[56].speaker |
SPEAKER_15 |
transcript.pyannote[56].start |
2226.67034375 |
transcript.pyannote[56].end |
2269.81971875 |
transcript.pyannote[57].speaker |
SPEAKER_15 |
transcript.pyannote[57].start |
2270.39346875 |
transcript.pyannote[57].end |
2286.64409375 |
transcript.pyannote[58].speaker |
SPEAKER_15 |
transcript.pyannote[58].start |
2287.42034375 |
transcript.pyannote[58].end |
2287.82534375 |
transcript.pyannote[59].speaker |
SPEAKER_15 |
transcript.pyannote[59].start |
2287.84221875 |
transcript.pyannote[59].end |
2313.52596875 |
transcript.pyannote[60].speaker |
SPEAKER_15 |
transcript.pyannote[60].start |
2313.84659375 |
transcript.pyannote[60].end |
2321.18721875 |
transcript.pyannote[61].speaker |
SPEAKER_15 |
transcript.pyannote[61].start |
2321.55846875 |
transcript.pyannote[61].end |
2334.24846875 |
transcript.pyannote[62].speaker |
SPEAKER_15 |
transcript.pyannote[62].start |
2334.65346875 |
transcript.pyannote[62].end |
2357.51909375 |
transcript.pyannote[63].speaker |
SPEAKER_15 |
transcript.pyannote[63].start |
2358.09284375 |
transcript.pyannote[63].end |
2359.88159375 |
transcript.pyannote[64].speaker |
SPEAKER_15 |
transcript.pyannote[64].start |
2360.42159375 |
transcript.pyannote[64].end |
2365.48409375 |
transcript.pyannote[65].speaker |
SPEAKER_15 |
transcript.pyannote[65].start |
2366.09159375 |
transcript.pyannote[65].end |
2368.01534375 |
transcript.pyannote[66].speaker |
SPEAKER_15 |
transcript.pyannote[66].start |
2368.72409375 |
transcript.pyannote[66].end |
2369.98971875 |
transcript.pyannote[67].speaker |
SPEAKER_15 |
transcript.pyannote[67].start |
2370.52971875 |
transcript.pyannote[67].end |
2379.65909375 |
transcript.pyannote[68].speaker |
SPEAKER_15 |
transcript.pyannote[68].start |
2380.18221875 |
transcript.pyannote[68].end |
2382.96659375 |
transcript.pyannote[69].speaker |
SPEAKER_15 |
transcript.pyannote[69].start |
2383.35471875 |
transcript.pyannote[69].end |
2385.04221875 |
transcript.pyannote[70].speaker |
SPEAKER_15 |
transcript.pyannote[70].start |
2385.51471875 |
transcript.pyannote[70].end |
2391.57284375 |
transcript.pyannote[71].speaker |
SPEAKER_15 |
transcript.pyannote[71].start |
2392.24784375 |
transcript.pyannote[71].end |
2396.09534375 |
transcript.pyannote[72].speaker |
SPEAKER_15 |
transcript.pyannote[72].start |
2396.55096875 |
transcript.pyannote[72].end |
2402.11971875 |
transcript.pyannote[73].speaker |
SPEAKER_15 |
transcript.pyannote[73].start |
2402.54159375 |
transcript.pyannote[73].end |
2406.08534375 |
transcript.pyannote[74].speaker |
SPEAKER_15 |
transcript.pyannote[74].start |
2406.35534375 |
transcript.pyannote[74].end |
2409.42659375 |
transcript.pyannote[75].speaker |
SPEAKER_15 |
transcript.pyannote[75].start |
2409.94971875 |
transcript.pyannote[75].end |
2423.87159375 |
transcript.pyannote[76].speaker |
SPEAKER_15 |
transcript.pyannote[76].start |
2424.36096875 |
transcript.pyannote[76].end |
2424.59721875 |
transcript.pyannote[77].speaker |
SPEAKER_15 |
transcript.pyannote[77].start |
2425.25534375 |
transcript.pyannote[77].end |
2428.03971875 |
transcript.pyannote[78].speaker |
SPEAKER_15 |
transcript.pyannote[78].start |
2428.46159375 |
transcript.pyannote[78].end |
2431.44846875 |
transcript.pyannote[79].speaker |
SPEAKER_15 |
transcript.pyannote[79].start |
2431.81971875 |
transcript.pyannote[79].end |
2433.38909375 |
transcript.pyannote[80].speaker |
SPEAKER_15 |
transcript.pyannote[80].start |
2433.94596875 |
transcript.pyannote[80].end |
2437.06784375 |
transcript.pyannote[81].speaker |
SPEAKER_15 |
transcript.pyannote[81].start |
2437.10159375 |
transcript.pyannote[81].end |
2445.87659375 |
transcript.pyannote[82].speaker |
SPEAKER_15 |
transcript.pyannote[82].start |
2446.16346875 |
transcript.pyannote[82].end |
2447.73284375 |
transcript.pyannote[83].speaker |
SPEAKER_15 |
transcript.pyannote[83].start |
2447.83409375 |
transcript.pyannote[83].end |
2457.19971875 |
transcript.pyannote[84].speaker |
SPEAKER_15 |
transcript.pyannote[84].start |
2457.67221875 |
transcript.pyannote[84].end |
2463.30846875 |
transcript.pyannote[85].speaker |
SPEAKER_15 |
transcript.pyannote[85].start |
2463.34221875 |
transcript.pyannote[85].end |
2478.86721875 |
transcript.pyannote[86].speaker |
SPEAKER_15 |
transcript.pyannote[86].start |
2479.22159375 |
transcript.pyannote[86].end |
2495.69159375 |
transcript.pyannote[87].speaker |
SPEAKER_15 |
transcript.pyannote[87].start |
2495.89409375 |
transcript.pyannote[87].end |
2501.98596875 |
transcript.pyannote[88].speaker |
SPEAKER_15 |
transcript.pyannote[88].start |
2502.30659375 |
transcript.pyannote[88].end |
2503.35284375 |
transcript.pyannote[89].speaker |
SPEAKER_15 |
transcript.pyannote[89].start |
2503.79159375 |
transcript.pyannote[89].end |
2505.93471875 |
transcript.pyannote[90].speaker |
SPEAKER_15 |
transcript.pyannote[90].start |
2506.47471875 |
transcript.pyannote[90].end |
2511.09846875 |
transcript.pyannote[91].speaker |
SPEAKER_15 |
transcript.pyannote[91].start |
2511.57096875 |
transcript.pyannote[91].end |
2519.87346875 |
transcript.pyannote[92].speaker |
SPEAKER_15 |
transcript.pyannote[92].start |
2520.05909375 |
transcript.pyannote[92].end |
2552.56034375 |
transcript.pyannote[93].speaker |
SPEAKER_15 |
transcript.pyannote[93].start |
2552.99909375 |
transcript.pyannote[93].end |
2556.59346875 |
transcript.pyannote[94].speaker |
SPEAKER_15 |
transcript.pyannote[94].start |
2557.01534375 |
transcript.pyannote[94].end |
2557.79159375 |
transcript.pyannote[95].speaker |
SPEAKER_15 |
transcript.pyannote[95].start |
2558.19659375 |
transcript.pyannote[95].end |
2562.06096875 |
transcript.pyannote[96].speaker |
SPEAKER_15 |
transcript.pyannote[96].start |
2562.22971875 |
transcript.pyannote[96].end |
2571.00471875 |
transcript.pyannote[97].speaker |
SPEAKER_15 |
transcript.pyannote[97].start |
2571.74721875 |
transcript.pyannote[97].end |
2572.03409375 |
transcript.pyannote[98].speaker |
SPEAKER_15 |
transcript.pyannote[98].start |
2572.35471875 |
transcript.pyannote[98].end |
2580.72471875 |
transcript.pyannote[99].speaker |
SPEAKER_15 |
transcript.pyannote[99].start |
2581.24784375 |
transcript.pyannote[99].end |
2583.99846875 |
transcript.pyannote[100].speaker |
SPEAKER_15 |
transcript.pyannote[100].start |
2584.72409375 |
transcript.pyannote[100].end |
2587.81221875 |
transcript.pyannote[101].speaker |
SPEAKER_15 |
transcript.pyannote[101].start |
2588.01471875 |
transcript.pyannote[101].end |
2595.27096875 |
transcript.pyannote[102].speaker |
SPEAKER_15 |
transcript.pyannote[102].start |
2595.94596875 |
transcript.pyannote[102].end |
2605.71659375 |
transcript.pyannote[103].speaker |
SPEAKER_15 |
transcript.pyannote[103].start |
2606.34096875 |
transcript.pyannote[103].end |
2628.21096875 |
transcript.pyannote[104].speaker |
SPEAKER_15 |
transcript.pyannote[104].start |
2628.48096875 |
transcript.pyannote[104].end |
2674.33034375 |
transcript.pyannote[105].speaker |
SPEAKER_15 |
transcript.pyannote[105].start |
2674.70159375 |
transcript.pyannote[105].end |
2676.13596875 |
transcript.pyannote[106].speaker |
SPEAKER_15 |
transcript.pyannote[106].start |
2676.65909375 |
transcript.pyannote[106].end |
2694.09096875 |
transcript.pyannote[107].speaker |
SPEAKER_15 |
transcript.pyannote[107].start |
2694.74909375 |
transcript.pyannote[107].end |
2703.43971875 |
transcript.pyannote[108].speaker |
SPEAKER_15 |
transcript.pyannote[108].start |
2703.87846875 |
transcript.pyannote[108].end |
2711.84346875 |
transcript.pyannote[109].speaker |
SPEAKER_15 |
transcript.pyannote[109].start |
2712.07971875 |
transcript.pyannote[109].end |
2716.48409375 |
transcript.pyannote[110].speaker |
SPEAKER_15 |
transcript.pyannote[110].start |
2716.63596875 |
transcript.pyannote[110].end |
2732.78534375 |
transcript.pyannote[111].speaker |
SPEAKER_15 |
transcript.pyannote[111].start |
2732.85284375 |
transcript.pyannote[111].end |
2789.99159375 |
transcript.pyannote[112].speaker |
SPEAKER_15 |
transcript.pyannote[112].start |
2790.05909375 |
transcript.pyannote[112].end |
2792.52284375 |
transcript.pyannote[113].speaker |
SPEAKER_15 |
transcript.pyannote[113].start |
2792.70846875 |
transcript.pyannote[113].end |
2792.91096875 |
transcript.pyannote[114].speaker |
SPEAKER_15 |
transcript.pyannote[114].start |
2793.29909375 |
transcript.pyannote[114].end |
2793.60284375 |
transcript.pyannote[115].speaker |
SPEAKER_15 |
transcript.pyannote[115].start |
2793.97409375 |
transcript.pyannote[115].end |
2794.12596875 |
transcript.pyannote[116].speaker |
SPEAKER_15 |
transcript.pyannote[116].start |
2794.36221875 |
transcript.pyannote[116].end |
2797.12971875 |
transcript.pyannote[117].speaker |
SPEAKER_15 |
transcript.pyannote[117].start |
2797.70346875 |
transcript.pyannote[117].end |
2799.52596875 |
transcript.pyannote[118].speaker |
SPEAKER_15 |
transcript.pyannote[118].start |
2799.89721875 |
transcript.pyannote[118].end |
2809.39784375 |
transcript.pyannote[119].speaker |
SPEAKER_15 |
transcript.pyannote[119].start |
2809.95471875 |
transcript.pyannote[119].end |
2815.48971875 |
transcript.pyannote[120].speaker |
SPEAKER_15 |
transcript.pyannote[120].start |
2815.84409375 |
transcript.pyannote[120].end |
2816.58659375 |
transcript.pyannote[121].speaker |
SPEAKER_15 |
transcript.pyannote[121].start |
2816.80596875 |
transcript.pyannote[121].end |
2821.59846875 |
transcript.pyannote[122].speaker |
SPEAKER_15 |
transcript.pyannote[122].start |
2822.29034375 |
transcript.pyannote[122].end |
2833.91721875 |
transcript.pyannote[123].speaker |
SPEAKER_15 |
transcript.pyannote[123].start |
2834.10284375 |
transcript.pyannote[123].end |
2837.91659375 |
transcript.pyannote[124].speaker |
SPEAKER_15 |
transcript.pyannote[124].start |
2838.13596875 |
transcript.pyannote[124].end |
2840.86971875 |
transcript.pyannote[125].speaker |
SPEAKER_15 |
transcript.pyannote[125].start |
2841.15659375 |
transcript.pyannote[125].end |
2867.44784375 |
transcript.pyannote[126].speaker |
SPEAKER_20 |
transcript.pyannote[126].start |
2857.84596875 |
transcript.pyannote[126].end |
2857.96409375 |
transcript.pyannote[127].speaker |
SPEAKER_15 |
transcript.pyannote[127].start |
2867.66721875 |
transcript.pyannote[127].end |
2867.92034375 |
transcript.pyannote[128].speaker |
SPEAKER_15 |
transcript.pyannote[128].start |
2868.34221875 |
transcript.pyannote[128].end |
2885.74034375 |
transcript.pyannote[129].speaker |
SPEAKER_15 |
transcript.pyannote[129].start |
2885.85846875 |
transcript.pyannote[129].end |
2904.31971875 |
transcript.pyannote[130].speaker |
SPEAKER_15 |
transcript.pyannote[130].start |
2904.48846875 |
transcript.pyannote[130].end |
2905.39971875 |
transcript.pyannote[131].speaker |
SPEAKER_15 |
transcript.pyannote[131].start |
2905.53471875 |
transcript.pyannote[131].end |
2908.03221875 |
transcript.pyannote[132].speaker |
SPEAKER_15 |
transcript.pyannote[132].start |
2908.62284375 |
transcript.pyannote[132].end |
2915.59221875 |
transcript.pyannote[133].speaker |
SPEAKER_15 |
transcript.pyannote[133].start |
2916.13221875 |
transcript.pyannote[133].end |
2928.97409375 |
transcript.pyannote[134].speaker |
SPEAKER_15 |
transcript.pyannote[134].start |
2929.36221875 |
transcript.pyannote[134].end |
2949.29159375 |
transcript.pyannote[135].speaker |
SPEAKER_15 |
transcript.pyannote[135].start |
2949.98346875 |
transcript.pyannote[135].end |
2950.15221875 |
transcript.pyannote[136].speaker |
SPEAKER_15 |
transcript.pyannote[136].start |
2950.35471875 |
transcript.pyannote[136].end |
2955.28221875 |
transcript.pyannote[137].speaker |
SPEAKER_15 |
transcript.pyannote[137].start |
2955.46784375 |
transcript.pyannote[137].end |
2956.39596875 |
transcript.pyannote[138].speaker |
SPEAKER_15 |
transcript.pyannote[138].start |
2956.59846875 |
transcript.pyannote[138].end |
2958.80909375 |
transcript.pyannote[139].speaker |
SPEAKER_15 |
transcript.pyannote[139].start |
2959.38284375 |
transcript.pyannote[139].end |
3015.32346875 |
transcript.pyannote[140].speaker |
SPEAKER_15 |
transcript.pyannote[140].start |
3016.62284375 |
transcript.pyannote[140].end |
3021.68534375 |
transcript.pyannote[141].speaker |
SPEAKER_15 |
transcript.pyannote[141].start |
3021.93846875 |
transcript.pyannote[141].end |
3041.15909375 |
transcript.pyannote[142].speaker |
SPEAKER_15 |
transcript.pyannote[142].start |
3041.51346875 |
transcript.pyannote[142].end |
3041.83409375 |
transcript.pyannote[143].speaker |
SPEAKER_15 |
transcript.pyannote[143].start |
3042.25596875 |
transcript.pyannote[143].end |
3068.85096875 |
transcript.pyannote[144].speaker |
SPEAKER_15 |
transcript.pyannote[144].start |
3069.13784375 |
transcript.pyannote[144].end |
3088.84784375 |
transcript.pyannote[145].speaker |
SPEAKER_15 |
transcript.pyannote[145].start |
3089.70846875 |
transcript.pyannote[145].end |
3098.90534375 |
transcript.pyannote[146].speaker |
SPEAKER_15 |
transcript.pyannote[146].start |
3099.49596875 |
transcript.pyannote[146].end |
3105.79034375 |
transcript.pyannote[147].speaker |
SPEAKER_15 |
transcript.pyannote[147].start |
3106.49909375 |
transcript.pyannote[147].end |
3117.46784375 |
transcript.pyannote[148].speaker |
SPEAKER_15 |
transcript.pyannote[148].start |
3117.99096875 |
transcript.pyannote[148].end |
3134.07284375 |
transcript.pyannote[149].speaker |
SPEAKER_15 |
transcript.pyannote[149].start |
3134.10659375 |
transcript.pyannote[149].end |
3139.99596875 |
transcript.pyannote[150].speaker |
SPEAKER_15 |
transcript.pyannote[150].start |
3140.68784375 |
transcript.pyannote[150].end |
3141.68346875 |
transcript.pyannote[151].speaker |
SPEAKER_15 |
transcript.pyannote[151].start |
3143.33721875 |
transcript.pyannote[151].end |
3144.40034375 |
transcript.pyannote[152].speaker |
SPEAKER_03 |
transcript.pyannote[152].start |
3147.92721875 |
transcript.pyannote[152].end |
3148.34909375 |
transcript.pyannote[153].speaker |
SPEAKER_03 |
transcript.pyannote[153].start |
3148.68659375 |
transcript.pyannote[153].end |
3151.96034375 |
transcript.pyannote[154].speaker |
SPEAKER_03 |
transcript.pyannote[154].start |
3151.97721875 |
transcript.pyannote[154].end |
3152.01096875 |
transcript.pyannote[155].speaker |
SPEAKER_03 |
transcript.pyannote[155].start |
3152.21346875 |
transcript.pyannote[155].end |
3171.82221875 |
transcript.pyannote[156].speaker |
SPEAKER_03 |
transcript.pyannote[156].start |
3172.15971875 |
transcript.pyannote[156].end |
3173.66159375 |
transcript.pyannote[157].speaker |
SPEAKER_03 |
transcript.pyannote[157].start |
3173.86409375 |
transcript.pyannote[157].end |
3176.56409375 |
transcript.pyannote[158].speaker |
SPEAKER_09 |
transcript.pyannote[158].start |
3185.49096875 |
transcript.pyannote[158].end |
3188.98409375 |
transcript.pyannote[159].speaker |
SPEAKER_03 |
transcript.pyannote[159].start |
3189.45659375 |
transcript.pyannote[159].end |
3190.38471875 |
transcript.pyannote[160].speaker |
SPEAKER_09 |
transcript.pyannote[160].start |
3191.00909375 |
transcript.pyannote[160].end |
3191.27909375 |
transcript.pyannote[161].speaker |
SPEAKER_03 |
transcript.pyannote[161].start |
3191.27909375 |
transcript.pyannote[161].end |
3191.90346875 |
transcript.pyannote[162].speaker |
SPEAKER_03 |
transcript.pyannote[162].start |
3192.19034375 |
transcript.pyannote[162].end |
3192.81471875 |
transcript.pyannote[163].speaker |
SPEAKER_03 |
transcript.pyannote[163].start |
3193.35471875 |
transcript.pyannote[163].end |
3194.43471875 |
transcript.pyannote[164].speaker |
SPEAKER_09 |
transcript.pyannote[164].start |
3198.55221875 |
transcript.pyannote[164].end |
3202.45034375 |
transcript.pyannote[165].speaker |
SPEAKER_12 |
transcript.pyannote[165].start |
3202.04534375 |
transcript.pyannote[165].end |
3202.41659375 |
transcript.pyannote[166].speaker |
SPEAKER_12 |
transcript.pyannote[166].start |
3202.45034375 |
transcript.pyannote[166].end |
3202.53471875 |
transcript.pyannote[167].speaker |
SPEAKER_09 |
transcript.pyannote[167].start |
3202.53471875 |
transcript.pyannote[167].end |
3202.55159375 |
transcript.pyannote[168].speaker |
SPEAKER_09 |
transcript.pyannote[168].start |
3203.12534375 |
transcript.pyannote[168].end |
3217.19909375 |
transcript.pyannote[169].speaker |
SPEAKER_09 |
transcript.pyannote[169].start |
3217.51971875 |
transcript.pyannote[169].end |
3223.83096875 |
transcript.pyannote[170].speaker |
SPEAKER_09 |
transcript.pyannote[170].start |
3224.20221875 |
transcript.pyannote[170].end |
3229.21409375 |
transcript.pyannote[171].speaker |
SPEAKER_09 |
transcript.pyannote[171].start |
3229.24784375 |
transcript.pyannote[171].end |
3240.68909375 |
transcript.pyannote[172].speaker |
SPEAKER_20 |
transcript.pyannote[172].start |
3241.19534375 |
transcript.pyannote[172].end |
3241.88721875 |
transcript.pyannote[173].speaker |
SPEAKER_15 |
transcript.pyannote[173].start |
3241.88721875 |
transcript.pyannote[173].end |
3241.90409375 |
transcript.pyannote[174].speaker |
SPEAKER_09 |
transcript.pyannote[174].start |
3242.24159375 |
transcript.pyannote[174].end |
3242.64659375 |
transcript.pyannote[175].speaker |
SPEAKER_09 |
transcript.pyannote[175].start |
3243.00096875 |
transcript.pyannote[175].end |
3243.42284375 |
transcript.pyannote[176].speaker |
SPEAKER_09 |
transcript.pyannote[176].start |
3243.97971875 |
transcript.pyannote[176].end |
3245.59971875 |
transcript.pyannote[177].speaker |
SPEAKER_09 |
transcript.pyannote[177].start |
3246.08909375 |
transcript.pyannote[177].end |
3254.00346875 |
transcript.pyannote[178].speaker |
SPEAKER_09 |
transcript.pyannote[178].start |
3254.62784375 |
transcript.pyannote[178].end |
3273.15659375 |
transcript.pyannote[179].speaker |
SPEAKER_09 |
transcript.pyannote[179].start |
3273.59534375 |
transcript.pyannote[179].end |
3274.86096875 |
transcript.pyannote[180].speaker |
SPEAKER_09 |
transcript.pyannote[180].start |
3275.31659375 |
transcript.pyannote[180].end |
3280.14284375 |
transcript.pyannote[181].speaker |
SPEAKER_09 |
transcript.pyannote[181].start |
3280.63221875 |
transcript.pyannote[181].end |
3290.26784375 |
transcript.pyannote[182].speaker |
SPEAKER_09 |
transcript.pyannote[182].start |
3290.82471875 |
transcript.pyannote[182].end |
3291.68534375 |
transcript.pyannote[183].speaker |
SPEAKER_09 |
transcript.pyannote[183].start |
3291.83721875 |
transcript.pyannote[183].end |
3300.15659375 |
transcript.pyannote[184].speaker |
SPEAKER_05 |
transcript.pyannote[184].start |
3299.80221875 |
transcript.pyannote[184].end |
3300.05534375 |
transcript.pyannote[185].speaker |
SPEAKER_09 |
transcript.pyannote[185].start |
3300.66284375 |
transcript.pyannote[185].end |
3306.46784375 |
transcript.pyannote[186].speaker |
SPEAKER_20 |
transcript.pyannote[186].start |
3306.46784375 |
transcript.pyannote[186].end |
3306.85596875 |
transcript.pyannote[187].speaker |
SPEAKER_09 |
transcript.pyannote[187].start |
3306.85596875 |
transcript.pyannote[187].end |
3308.56034375 |
transcript.pyannote[188].speaker |
SPEAKER_09 |
transcript.pyannote[188].start |
3309.15096875 |
transcript.pyannote[188].end |
3310.43346875 |
transcript.pyannote[189].speaker |
SPEAKER_09 |
transcript.pyannote[189].start |
3310.97346875 |
transcript.pyannote[189].end |
3314.06159375 |
transcript.pyannote[190].speaker |
SPEAKER_09 |
transcript.pyannote[190].start |
3314.51721875 |
transcript.pyannote[190].end |
3317.97659375 |
transcript.pyannote[191].speaker |
SPEAKER_09 |
transcript.pyannote[191].start |
3318.51659375 |
transcript.pyannote[191].end |
3319.37721875 |
transcript.pyannote[192].speaker |
SPEAKER_09 |
transcript.pyannote[192].start |
3319.86659375 |
transcript.pyannote[192].end |
3320.45721875 |
transcript.pyannote[193].speaker |
SPEAKER_09 |
transcript.pyannote[193].start |
3321.06471875 |
transcript.pyannote[193].end |
3322.98846875 |
transcript.pyannote[194].speaker |
SPEAKER_09 |
transcript.pyannote[194].start |
3323.42721875 |
transcript.pyannote[194].end |
3324.87846875 |
transcript.pyannote[195].speaker |
SPEAKER_15 |
transcript.pyannote[195].start |
3324.87846875 |
transcript.pyannote[195].end |
3325.70534375 |
transcript.pyannote[196].speaker |
SPEAKER_09 |
transcript.pyannote[196].start |
3326.00909375 |
transcript.pyannote[196].end |
3326.34659375 |
transcript.pyannote[197].speaker |
SPEAKER_09 |
transcript.pyannote[197].start |
3326.90346875 |
transcript.pyannote[197].end |
3328.96221875 |
transcript.pyannote[198].speaker |
SPEAKER_09 |
transcript.pyannote[198].start |
3330.14346875 |
transcript.pyannote[198].end |
3331.61159375 |
transcript.pyannote[199].speaker |
SPEAKER_09 |
transcript.pyannote[199].start |
3332.05034375 |
transcript.pyannote[199].end |
3336.47159375 |
transcript.pyannote[200].speaker |
SPEAKER_09 |
transcript.pyannote[200].start |
3336.74159375 |
transcript.pyannote[200].end |
3339.34034375 |
transcript.pyannote[201].speaker |
SPEAKER_09 |
transcript.pyannote[201].start |
3339.66096875 |
transcript.pyannote[201].end |
3343.81221875 |
transcript.pyannote[202].speaker |
SPEAKER_09 |
transcript.pyannote[202].start |
3344.47034375 |
transcript.pyannote[202].end |
3348.94221875 |
transcript.pyannote[203].speaker |
SPEAKER_09 |
transcript.pyannote[203].start |
3349.21221875 |
transcript.pyannote[203].end |
3352.45221875 |
transcript.pyannote[204].speaker |
SPEAKER_09 |
transcript.pyannote[204].start |
3352.89096875 |
transcript.pyannote[204].end |
3358.98284375 |
transcript.pyannote[205].speaker |
SPEAKER_09 |
transcript.pyannote[205].start |
3359.74221875 |
transcript.pyannote[205].end |
3370.67721875 |
transcript.pyannote[206].speaker |
SPEAKER_09 |
transcript.pyannote[206].start |
3370.86284375 |
transcript.pyannote[206].end |
3371.23409375 |
transcript.pyannote[207].speaker |
SPEAKER_09 |
transcript.pyannote[207].start |
3371.50409375 |
transcript.pyannote[207].end |
3372.65159375 |
transcript.pyannote[208].speaker |
SPEAKER_09 |
transcript.pyannote[208].start |
3372.88784375 |
transcript.pyannote[208].end |
3385.47659375 |
transcript.pyannote[209].speaker |
SPEAKER_09 |
transcript.pyannote[209].start |
3385.89846875 |
transcript.pyannote[209].end |
3396.81659375 |
transcript.pyannote[210].speaker |
SPEAKER_09 |
transcript.pyannote[210].start |
3397.32284375 |
transcript.pyannote[210].end |
3400.88346875 |
transcript.pyannote[211].speaker |
SPEAKER_09 |
transcript.pyannote[211].start |
3400.90034375 |
transcript.pyannote[211].end |
3406.95846875 |
transcript.pyannote[212].speaker |
SPEAKER_09 |
transcript.pyannote[212].start |
3407.44784375 |
transcript.pyannote[212].end |
3408.91596875 |
transcript.pyannote[213].speaker |
SPEAKER_09 |
transcript.pyannote[213].start |
3409.23659375 |
transcript.pyannote[213].end |
3410.01284375 |
transcript.pyannote[214].speaker |
SPEAKER_09 |
transcript.pyannote[214].start |
3410.33346875 |
transcript.pyannote[214].end |
3414.53534375 |
transcript.pyannote[215].speaker |
SPEAKER_15 |
transcript.pyannote[215].start |
3414.50159375 |
transcript.pyannote[215].end |
3414.92346875 |
transcript.pyannote[216].speaker |
SPEAKER_09 |
transcript.pyannote[216].start |
3415.04159375 |
transcript.pyannote[216].end |
3416.15534375 |
transcript.pyannote[217].speaker |
SPEAKER_09 |
transcript.pyannote[217].start |
3416.89784375 |
transcript.pyannote[217].end |
3418.85534375 |
transcript.pyannote[218].speaker |
SPEAKER_09 |
transcript.pyannote[218].start |
3419.42909375 |
transcript.pyannote[218].end |
3423.00659375 |
transcript.pyannote[219].speaker |
SPEAKER_09 |
transcript.pyannote[219].start |
3423.69846875 |
transcript.pyannote[219].end |
3427.84971875 |
transcript.pyannote[220].speaker |
SPEAKER_09 |
transcript.pyannote[220].start |
3428.49096875 |
transcript.pyannote[220].end |
3429.48659375 |
transcript.pyannote[221].speaker |
SPEAKER_09 |
transcript.pyannote[221].start |
3430.14471875 |
transcript.pyannote[221].end |
3431.12346875 |
transcript.pyannote[222].speaker |
SPEAKER_09 |
transcript.pyannote[222].start |
3432.32159375 |
transcript.pyannote[222].end |
3432.84471875 |
transcript.pyannote[223].speaker |
SPEAKER_15 |
transcript.pyannote[223].start |
3433.43534375 |
transcript.pyannote[223].end |
3434.71784375 |
transcript.pyannote[224].speaker |
SPEAKER_15 |
transcript.pyannote[224].start |
3434.93721875 |
transcript.pyannote[224].end |
3437.16471875 |
transcript.pyannote[225].speaker |
SPEAKER_09 |
transcript.pyannote[225].start |
3438.22784375 |
transcript.pyannote[225].end |
3439.54409375 |
transcript.pyannote[226].speaker |
SPEAKER_09 |
transcript.pyannote[226].start |
3439.66221875 |
transcript.pyannote[226].end |
3440.45534375 |
transcript.pyannote[227].speaker |
SPEAKER_09 |
transcript.pyannote[227].start |
3440.67471875 |
transcript.pyannote[227].end |
3444.23534375 |
transcript.pyannote[228].speaker |
SPEAKER_09 |
transcript.pyannote[228].start |
3444.28596875 |
transcript.pyannote[228].end |
3445.34909375 |
transcript.pyannote[229].speaker |
SPEAKER_15 |
transcript.pyannote[229].start |
3445.65284375 |
transcript.pyannote[229].end |
3447.59346875 |
transcript.pyannote[230].speaker |
SPEAKER_09 |
transcript.pyannote[230].start |
3447.74534375 |
transcript.pyannote[230].end |
3449.12909375 |
transcript.pyannote[231].speaker |
SPEAKER_15 |
transcript.pyannote[231].start |
3449.85471875 |
transcript.pyannote[231].end |
3450.71534375 |
transcript.pyannote[232].speaker |
SPEAKER_09 |
transcript.pyannote[232].start |
3451.15409375 |
transcript.pyannote[232].end |
3452.16659375 |
transcript.pyannote[233].speaker |
SPEAKER_09 |
transcript.pyannote[233].start |
3452.45346875 |
transcript.pyannote[233].end |
3454.15784375 |
transcript.pyannote[234].speaker |
SPEAKER_09 |
transcript.pyannote[234].start |
3455.00159375 |
transcript.pyannote[234].end |
3456.79034375 |
transcript.pyannote[235].speaker |
SPEAKER_09 |
transcript.pyannote[235].start |
3456.84096875 |
transcript.pyannote[235].end |
3458.41034375 |
transcript.pyannote[236].speaker |
SPEAKER_09 |
transcript.pyannote[236].start |
3458.93346875 |
transcript.pyannote[236].end |
3460.51971875 |
transcript.pyannote[237].speaker |
SPEAKER_09 |
transcript.pyannote[237].start |
3461.36346875 |
transcript.pyannote[237].end |
3462.35909375 |
transcript.pyannote[238].speaker |
SPEAKER_15 |
transcript.pyannote[238].start |
3462.81471875 |
transcript.pyannote[238].end |
3463.67534375 |
transcript.pyannote[239].speaker |
SPEAKER_09 |
transcript.pyannote[239].start |
3463.70909375 |
transcript.pyannote[239].end |
3464.04659375 |
transcript.pyannote[240].speaker |
SPEAKER_09 |
transcript.pyannote[240].start |
3464.29971875 |
transcript.pyannote[240].end |
3468.11346875 |
transcript.pyannote[241].speaker |
SPEAKER_09 |
transcript.pyannote[241].start |
3468.60284375 |
transcript.pyannote[241].end |
3469.93596875 |
transcript.pyannote[242].speaker |
SPEAKER_09 |
transcript.pyannote[242].start |
3470.22284375 |
transcript.pyannote[242].end |
3471.30284375 |
transcript.pyannote[243].speaker |
SPEAKER_09 |
transcript.pyannote[243].start |
3471.62346875 |
transcript.pyannote[243].end |
3478.42409375 |
transcript.pyannote[244].speaker |
SPEAKER_09 |
transcript.pyannote[244].start |
3479.33534375 |
transcript.pyannote[244].end |
3482.38971875 |
transcript.pyannote[245].speaker |
SPEAKER_09 |
transcript.pyannote[245].start |
3482.81159375 |
transcript.pyannote[245].end |
3483.75659375 |
transcript.pyannote[246].speaker |
SPEAKER_09 |
transcript.pyannote[246].start |
3484.71846875 |
transcript.pyannote[246].end |
3488.75159375 |
transcript.pyannote[247].speaker |
SPEAKER_09 |
transcript.pyannote[247].start |
3489.15659375 |
transcript.pyannote[247].end |
3495.07971875 |
transcript.pyannote[248].speaker |
SPEAKER_09 |
transcript.pyannote[248].start |
3495.55221875 |
transcript.pyannote[248].end |
3499.46721875 |
transcript.pyannote[249].speaker |
SPEAKER_09 |
transcript.pyannote[249].start |
3500.24346875 |
transcript.pyannote[249].end |
3503.12909375 |
transcript.pyannote[250].speaker |
SPEAKER_09 |
transcript.pyannote[250].start |
3503.53409375 |
transcript.pyannote[250].end |
3504.95159375 |
transcript.pyannote[251].speaker |
SPEAKER_09 |
transcript.pyannote[251].start |
3505.30596875 |
transcript.pyannote[251].end |
3507.12846875 |
transcript.pyannote[252].speaker |
SPEAKER_09 |
transcript.pyannote[252].start |
3508.17471875 |
transcript.pyannote[252].end |
3508.74846875 |
transcript.pyannote[253].speaker |
SPEAKER_15 |
transcript.pyannote[253].start |
3509.15346875 |
transcript.pyannote[253].end |
3509.54159375 |
transcript.pyannote[254].speaker |
SPEAKER_15 |
transcript.pyannote[254].start |
3509.99721875 |
transcript.pyannote[254].end |
3510.57096875 |
transcript.pyannote[255].speaker |
SPEAKER_15 |
transcript.pyannote[255].start |
3510.63846875 |
transcript.pyannote[255].end |
3511.75221875 |
transcript.pyannote[256].speaker |
SPEAKER_15 |
transcript.pyannote[256].start |
3512.03909375 |
transcript.pyannote[256].end |
3525.67409375 |
transcript.pyannote[257].speaker |
SPEAKER_15 |
transcript.pyannote[257].start |
3526.28159375 |
transcript.pyannote[257].end |
3530.24721875 |
transcript.pyannote[258].speaker |
SPEAKER_15 |
transcript.pyannote[258].start |
3530.44971875 |
transcript.pyannote[258].end |
3564.28409375 |
transcript.pyannote[259].speaker |
SPEAKER_09 |
transcript.pyannote[259].start |
3564.28409375 |
transcript.pyannote[259].end |
3564.80721875 |
transcript.pyannote[260].speaker |
SPEAKER_15 |
transcript.pyannote[260].start |
3564.73971875 |
transcript.pyannote[260].end |
3565.31346875 |
transcript.pyannote[261].speaker |
SPEAKER_09 |
transcript.pyannote[261].start |
3565.29659375 |
transcript.pyannote[261].end |
3566.76471875 |
transcript.pyannote[262].speaker |
SPEAKER_09 |
transcript.pyannote[262].start |
3567.62534375 |
transcript.pyannote[262].end |
3569.00909375 |
transcript.pyannote[263].speaker |
SPEAKER_09 |
transcript.pyannote[263].start |
3569.32971875 |
transcript.pyannote[263].end |
3572.46846875 |
transcript.pyannote[264].speaker |
SPEAKER_20 |
transcript.pyannote[264].start |
3573.09284375 |
transcript.pyannote[264].end |
3573.22784375 |
transcript.pyannote[265].speaker |
SPEAKER_09 |
transcript.pyannote[265].start |
3573.91971875 |
transcript.pyannote[265].end |
3574.44284375 |
transcript.pyannote[266].speaker |
SPEAKER_09 |
transcript.pyannote[266].start |
3575.01659375 |
transcript.pyannote[266].end |
3578.71221875 |
transcript.pyannote[267].speaker |
SPEAKER_09 |
transcript.pyannote[267].start |
3579.30284375 |
transcript.pyannote[267].end |
3584.11221875 |
transcript.pyannote[268].speaker |
SPEAKER_09 |
transcript.pyannote[268].start |
3584.66909375 |
transcript.pyannote[268].end |
3586.00221875 |
transcript.pyannote[269].speaker |
SPEAKER_09 |
transcript.pyannote[269].start |
3586.77846875 |
transcript.pyannote[269].end |
3589.00596875 |
transcript.pyannote[270].speaker |
SPEAKER_09 |
transcript.pyannote[270].start |
3589.49534375 |
transcript.pyannote[270].end |
3592.12784375 |
transcript.pyannote[271].speaker |
SPEAKER_09 |
transcript.pyannote[271].start |
3593.25846875 |
transcript.pyannote[271].end |
3597.61221875 |
transcript.pyannote[272].speaker |
SPEAKER_09 |
transcript.pyannote[272].start |
3598.23659375 |
transcript.pyannote[272].end |
3599.35034375 |
transcript.pyannote[273].speaker |
SPEAKER_09 |
transcript.pyannote[273].start |
3600.75096875 |
transcript.pyannote[273].end |
3601.61159375 |
transcript.pyannote[274].speaker |
SPEAKER_09 |
transcript.pyannote[274].start |
3602.42159375 |
transcript.pyannote[274].end |
3603.92346875 |
transcript.pyannote[275].speaker |
SPEAKER_09 |
transcript.pyannote[275].start |
3605.07096875 |
transcript.pyannote[275].end |
3607.55159375 |
transcript.pyannote[276].speaker |
SPEAKER_09 |
transcript.pyannote[276].start |
3608.34471875 |
transcript.pyannote[276].end |
3611.24721875 |
transcript.pyannote[277].speaker |
SPEAKER_09 |
transcript.pyannote[277].start |
3611.98971875 |
transcript.pyannote[277].end |
3613.96409375 |
transcript.pyannote[278].speaker |
SPEAKER_09 |
transcript.pyannote[278].start |
3614.84159375 |
transcript.pyannote[278].end |
3622.40159375 |
transcript.pyannote[279].speaker |
SPEAKER_09 |
transcript.pyannote[279].start |
3623.34659375 |
transcript.pyannote[279].end |
3626.41784375 |
transcript.pyannote[280].speaker |
SPEAKER_09 |
transcript.pyannote[280].start |
3626.87346875 |
transcript.pyannote[280].end |
3628.47659375 |
transcript.pyannote[281].speaker |
SPEAKER_09 |
transcript.pyannote[281].start |
3628.57784375 |
transcript.pyannote[281].end |
3629.97846875 |
transcript.pyannote[282].speaker |
SPEAKER_09 |
transcript.pyannote[282].start |
3630.80534375 |
transcript.pyannote[282].end |
3638.77034375 |
transcript.pyannote[283].speaker |
SPEAKER_09 |
transcript.pyannote[283].start |
3639.49596875 |
transcript.pyannote[283].end |
3642.01034375 |
transcript.pyannote[284].speaker |
SPEAKER_09 |
transcript.pyannote[284].start |
3642.65159375 |
transcript.pyannote[284].end |
3643.34346875 |
transcript.pyannote[285].speaker |
SPEAKER_09 |
transcript.pyannote[285].start |
3643.57971875 |
transcript.pyannote[285].end |
3644.47409375 |
transcript.pyannote[286].speaker |
SPEAKER_09 |
transcript.pyannote[286].start |
3645.89159375 |
transcript.pyannote[286].end |
3648.38909375 |
transcript.pyannote[287].speaker |
SPEAKER_09 |
transcript.pyannote[287].start |
3648.69284375 |
transcript.pyannote[287].end |
3652.92846875 |
transcript.pyannote[288].speaker |
SPEAKER_09 |
transcript.pyannote[288].start |
3653.29971875 |
transcript.pyannote[288].end |
3657.83909375 |
transcript.pyannote[289].speaker |
SPEAKER_08 |
transcript.pyannote[289].start |
3653.53596875 |
transcript.pyannote[289].end |
3653.77221875 |
transcript.pyannote[290].speaker |
SPEAKER_09 |
transcript.pyannote[290].start |
3658.19346875 |
transcript.pyannote[290].end |
3660.33659375 |
transcript.pyannote[291].speaker |
SPEAKER_09 |
transcript.pyannote[291].start |
3661.51784375 |
transcript.pyannote[291].end |
3664.65659375 |
transcript.pyannote[292].speaker |
SPEAKER_09 |
transcript.pyannote[292].start |
3665.26409375 |
transcript.pyannote[292].end |
3669.71909375 |
transcript.pyannote[293].speaker |
SPEAKER_09 |
transcript.pyannote[293].start |
3669.87096875 |
transcript.pyannote[293].end |
3671.86221875 |
transcript.pyannote[294].speaker |
SPEAKER_09 |
transcript.pyannote[294].start |
3672.55409375 |
transcript.pyannote[294].end |
3673.04346875 |
transcript.pyannote[295].speaker |
SPEAKER_09 |
transcript.pyannote[295].start |
3674.07284375 |
transcript.pyannote[295].end |
3678.22409375 |
transcript.pyannote[296].speaker |
SPEAKER_09 |
transcript.pyannote[296].start |
3678.51096875 |
transcript.pyannote[296].end |
3702.77721875 |
transcript.pyannote[297].speaker |
SPEAKER_09 |
transcript.pyannote[297].start |
3703.43534375 |
transcript.pyannote[297].end |
3705.91596875 |
transcript.pyannote[298].speaker |
SPEAKER_09 |
transcript.pyannote[298].start |
3707.26596875 |
transcript.pyannote[298].end |
3713.98221875 |
transcript.pyannote[299].speaker |
SPEAKER_09 |
transcript.pyannote[299].start |
3714.18471875 |
transcript.pyannote[299].end |
3716.19284375 |
transcript.pyannote[300].speaker |
SPEAKER_15 |
transcript.pyannote[300].start |
3716.53034375 |
transcript.pyannote[300].end |
3717.34034375 |
transcript.pyannote[301].speaker |
SPEAKER_09 |
transcript.pyannote[301].start |
3717.47534375 |
transcript.pyannote[301].end |
3718.08284375 |
transcript.pyannote[302].speaker |
SPEAKER_09 |
transcript.pyannote[302].start |
3719.38221875 |
transcript.pyannote[302].end |
3720.02346875 |
transcript.pyannote[303].speaker |
SPEAKER_03 |
transcript.pyannote[303].start |
3720.02346875 |
transcript.pyannote[303].end |
3720.24284375 |
transcript.pyannote[304].speaker |
SPEAKER_03 |
transcript.pyannote[304].start |
3722.75721875 |
transcript.pyannote[304].end |
3723.71909375 |
transcript.pyannote[305].speaker |
SPEAKER_03 |
transcript.pyannote[305].start |
3724.05659375 |
transcript.pyannote[305].end |
3724.54596875 |
transcript.pyannote[306].speaker |
SPEAKER_03 |
transcript.pyannote[306].start |
3725.27159375 |
transcript.pyannote[306].end |
3727.60034375 |
transcript.pyannote[307].speaker |
SPEAKER_03 |
transcript.pyannote[307].start |
3728.27534375 |
transcript.pyannote[307].end |
3728.73096875 |
transcript.pyannote[308].speaker |
SPEAKER_03 |
transcript.pyannote[308].start |
3729.25409375 |
transcript.pyannote[308].end |
3734.02971875 |
transcript.pyannote[309].speaker |
SPEAKER_14 |
transcript.pyannote[309].start |
3739.14284375 |
transcript.pyannote[309].end |
3740.52659375 |
transcript.pyannote[310].speaker |
SPEAKER_03 |
transcript.pyannote[310].start |
3741.15096875 |
transcript.pyannote[310].end |
3742.50096875 |
transcript.pyannote[311].speaker |
SPEAKER_03 |
transcript.pyannote[311].start |
3744.50909375 |
transcript.pyannote[311].end |
3745.36971875 |
transcript.pyannote[312].speaker |
SPEAKER_14 |
transcript.pyannote[312].start |
3749.03159375 |
transcript.pyannote[312].end |
3749.45346875 |
transcript.pyannote[313].speaker |
SPEAKER_14 |
transcript.pyannote[313].start |
3749.60534375 |
transcript.pyannote[313].end |
3775.25534375 |
transcript.pyannote[314].speaker |
SPEAKER_14 |
transcript.pyannote[314].start |
3776.35221875 |
transcript.pyannote[314].end |
3778.63034375 |
transcript.pyannote[315].speaker |
SPEAKER_15 |
transcript.pyannote[315].start |
3778.63034375 |
transcript.pyannote[315].end |
3778.69784375 |
transcript.pyannote[316].speaker |
SPEAKER_15 |
transcript.pyannote[316].start |
3780.38534375 |
transcript.pyannote[316].end |
3793.98659375 |
transcript.pyannote[317].speaker |
SPEAKER_22 |
transcript.pyannote[317].start |
3789.36284375 |
transcript.pyannote[317].end |
3789.39659375 |
transcript.pyannote[318].speaker |
SPEAKER_22 |
transcript.pyannote[318].start |
3789.48096875 |
transcript.pyannote[318].end |
3789.61596875 |
transcript.pyannote[319].speaker |
SPEAKER_15 |
transcript.pyannote[319].start |
3794.25659375 |
transcript.pyannote[319].end |
3797.20971875 |
transcript.pyannote[320].speaker |
SPEAKER_15 |
transcript.pyannote[320].start |
3797.53034375 |
transcript.pyannote[320].end |
3798.81284375 |
transcript.pyannote[321].speaker |
SPEAKER_20 |
transcript.pyannote[321].start |
3798.93096875 |
transcript.pyannote[321].end |
3799.20096875 |
transcript.pyannote[322].speaker |
SPEAKER_15 |
transcript.pyannote[322].start |
3799.20096875 |
transcript.pyannote[322].end |
3804.16221875 |
transcript.pyannote[323].speaker |
SPEAKER_15 |
transcript.pyannote[323].start |
3804.43221875 |
transcript.pyannote[323].end |
3805.91721875 |
transcript.pyannote[324].speaker |
SPEAKER_15 |
transcript.pyannote[324].start |
3806.59221875 |
transcript.pyannote[324].end |
3808.33034375 |
transcript.pyannote[325].speaker |
SPEAKER_14 |
transcript.pyannote[325].start |
3808.33034375 |
transcript.pyannote[325].end |
3816.63284375 |
transcript.pyannote[326].speaker |
SPEAKER_15 |
transcript.pyannote[326].start |
3810.05159375 |
transcript.pyannote[326].end |
3810.30471875 |
transcript.pyannote[327].speaker |
SPEAKER_19 |
transcript.pyannote[327].start |
3816.97034375 |
transcript.pyannote[327].end |
3817.20659375 |
transcript.pyannote[328].speaker |
SPEAKER_14 |
transcript.pyannote[328].start |
3817.37534375 |
transcript.pyannote[328].end |
3822.91034375 |
transcript.pyannote[329].speaker |
SPEAKER_14 |
transcript.pyannote[329].start |
3822.94409375 |
transcript.pyannote[329].end |
3834.94221875 |
transcript.pyannote[330].speaker |
SPEAKER_15 |
transcript.pyannote[330].start |
3835.68471875 |
transcript.pyannote[330].end |
3836.15721875 |
transcript.pyannote[331].speaker |
SPEAKER_15 |
transcript.pyannote[331].start |
3836.41034375 |
transcript.pyannote[331].end |
3854.50034375 |
transcript.pyannote[332].speaker |
SPEAKER_15 |
transcript.pyannote[332].start |
3854.61846875 |
transcript.pyannote[332].end |
3874.02471875 |
transcript.pyannote[333].speaker |
SPEAKER_14 |
transcript.pyannote[333].start |
3874.02471875 |
transcript.pyannote[333].end |
3892.73909375 |
transcript.pyannote[334].speaker |
SPEAKER_14 |
transcript.pyannote[334].start |
3892.77284375 |
transcript.pyannote[334].end |
3913.96784375 |
transcript.pyannote[335].speaker |
SPEAKER_15 |
transcript.pyannote[335].start |
3913.96784375 |
transcript.pyannote[335].end |
3922.79346875 |
transcript.pyannote[336].speaker |
SPEAKER_15 |
transcript.pyannote[336].start |
3922.87784375 |
transcript.pyannote[336].end |
3924.66659375 |
transcript.pyannote[337].speaker |
SPEAKER_14 |
transcript.pyannote[337].start |
3923.89034375 |
transcript.pyannote[337].end |
3924.63284375 |
transcript.pyannote[338].speaker |
SPEAKER_14 |
transcript.pyannote[338].start |
3924.66659375 |
transcript.pyannote[338].end |
3924.71721875 |
transcript.pyannote[339].speaker |
SPEAKER_15 |
transcript.pyannote[339].start |
3924.71721875 |
transcript.pyannote[339].end |
3924.73409375 |
transcript.pyannote[340].speaker |
SPEAKER_14 |
transcript.pyannote[340].start |
3924.73409375 |
transcript.pyannote[340].end |
3924.78471875 |
transcript.pyannote[341].speaker |
SPEAKER_15 |
transcript.pyannote[341].start |
3924.78471875 |
transcript.pyannote[341].end |
3926.55659375 |
transcript.pyannote[342].speaker |
SPEAKER_15 |
transcript.pyannote[342].start |
3927.21471875 |
transcript.pyannote[342].end |
3927.53534375 |
transcript.pyannote[343].speaker |
SPEAKER_15 |
transcript.pyannote[343].start |
3927.85596875 |
transcript.pyannote[343].end |
3931.14659375 |
transcript.pyannote[344].speaker |
SPEAKER_14 |
transcript.pyannote[344].start |
3930.99471875 |
transcript.pyannote[344].end |
3935.63534375 |
transcript.pyannote[345].speaker |
SPEAKER_25 |
transcript.pyannote[345].start |
3936.09096875 |
transcript.pyannote[345].end |
3936.12471875 |
transcript.pyannote[346].speaker |
SPEAKER_15 |
transcript.pyannote[346].start |
3936.12471875 |
transcript.pyannote[346].end |
3936.25971875 |
transcript.pyannote[347].speaker |
SPEAKER_25 |
transcript.pyannote[347].start |
3936.25971875 |
transcript.pyannote[347].end |
3936.31034375 |
transcript.pyannote[348].speaker |
SPEAKER_14 |
transcript.pyannote[348].start |
3936.54659375 |
transcript.pyannote[348].end |
3956.52659375 |
transcript.pyannote[349].speaker |
SPEAKER_14 |
transcript.pyannote[349].start |
3956.96534375 |
transcript.pyannote[349].end |
3962.12909375 |
transcript.pyannote[350].speaker |
SPEAKER_15 |
transcript.pyannote[350].start |
3963.59721875 |
transcript.pyannote[350].end |
3963.85034375 |
transcript.pyannote[351].speaker |
SPEAKER_15 |
transcript.pyannote[351].start |
3964.94721875 |
transcript.pyannote[351].end |
3966.90471875 |
transcript.pyannote[352].speaker |
SPEAKER_15 |
transcript.pyannote[352].start |
3967.24221875 |
transcript.pyannote[352].end |
3973.75596875 |
transcript.pyannote[353].speaker |
SPEAKER_15 |
transcript.pyannote[353].start |
3973.97534375 |
transcript.pyannote[353].end |
3976.18596875 |
transcript.pyannote[354].speaker |
SPEAKER_14 |
transcript.pyannote[354].start |
3976.18596875 |
transcript.pyannote[354].end |
3976.28721875 |
transcript.pyannote[355].speaker |
SPEAKER_22 |
transcript.pyannote[355].start |
3976.28721875 |
transcript.pyannote[355].end |
3976.40534375 |
transcript.pyannote[356].speaker |
SPEAKER_14 |
transcript.pyannote[356].start |
3976.40534375 |
transcript.pyannote[356].end |
3976.43909375 |
transcript.pyannote[357].speaker |
SPEAKER_15 |
transcript.pyannote[357].start |
3976.43909375 |
transcript.pyannote[357].end |
3992.03159375 |
transcript.pyannote[358].speaker |
SPEAKER_14 |
transcript.pyannote[358].start |
3978.78471875 |
transcript.pyannote[358].end |
3979.62846875 |
transcript.pyannote[359].speaker |
SPEAKER_14 |
transcript.pyannote[359].start |
3980.16846875 |
transcript.pyannote[359].end |
3980.67471875 |
transcript.pyannote[360].speaker |
SPEAKER_14 |
transcript.pyannote[360].start |
3981.51846875 |
transcript.pyannote[360].end |
3981.77159375 |
transcript.pyannote[361].speaker |
SPEAKER_15 |
transcript.pyannote[361].start |
3992.33534375 |
transcript.pyannote[361].end |
3999.59159375 |
transcript.pyannote[362].speaker |
SPEAKER_14 |
transcript.pyannote[362].start |
3999.18659375 |
transcript.pyannote[362].end |
4020.97221875 |
transcript.pyannote[363].speaker |
SPEAKER_15 |
transcript.pyannote[363].start |
4020.97221875 |
transcript.pyannote[363].end |
4020.98909375 |
transcript.pyannote[364].speaker |
SPEAKER_14 |
transcript.pyannote[364].start |
4020.98909375 |
transcript.pyannote[364].end |
4021.02284375 |
transcript.pyannote[365].speaker |
SPEAKER_15 |
transcript.pyannote[365].start |
4021.02284375 |
transcript.pyannote[365].end |
4021.83284375 |
transcript.pyannote[366].speaker |
SPEAKER_15 |
transcript.pyannote[366].start |
4022.44034375 |
transcript.pyannote[366].end |
4037.72909375 |
transcript.pyannote[367].speaker |
SPEAKER_15 |
transcript.pyannote[367].start |
4037.81346875 |
transcript.pyannote[367].end |
4040.26034375 |
transcript.pyannote[368].speaker |
SPEAKER_15 |
transcript.pyannote[368].start |
4040.47971875 |
transcript.pyannote[368].end |
4042.48784375 |
transcript.pyannote[369].speaker |
SPEAKER_14 |
transcript.pyannote[369].start |
4042.48784375 |
transcript.pyannote[369].end |
4054.65471875 |
transcript.pyannote[370].speaker |
SPEAKER_14 |
transcript.pyannote[370].start |
4054.94159375 |
transcript.pyannote[370].end |
4065.04971875 |
transcript.pyannote[371].speaker |
SPEAKER_14 |
transcript.pyannote[371].start |
4065.23534375 |
transcript.pyannote[371].end |
4079.66346875 |
transcript.pyannote[372].speaker |
SPEAKER_00 |
transcript.pyannote[372].start |
4077.25034375 |
transcript.pyannote[372].end |
4077.46971875 |
transcript.pyannote[373].speaker |
SPEAKER_23 |
transcript.pyannote[373].start |
4077.46971875 |
transcript.pyannote[373].end |
4077.55409375 |
transcript.pyannote[374].speaker |
SPEAKER_00 |
transcript.pyannote[374].start |
4077.55409375 |
transcript.pyannote[374].end |
4077.68909375 |
transcript.pyannote[375].speaker |
SPEAKER_14 |
transcript.pyannote[375].start |
4080.55784375 |
transcript.pyannote[375].end |
4092.72471875 |
transcript.pyannote[376].speaker |
SPEAKER_15 |
transcript.pyannote[376].start |
4093.51784375 |
transcript.pyannote[376].end |
4093.85534375 |
transcript.pyannote[377].speaker |
SPEAKER_15 |
transcript.pyannote[377].start |
4094.26034375 |
transcript.pyannote[377].end |
4095.86346875 |
transcript.pyannote[378].speaker |
SPEAKER_15 |
transcript.pyannote[378].start |
4096.08284375 |
transcript.pyannote[378].end |
4099.44096875 |
transcript.pyannote[379].speaker |
SPEAKER_14 |
transcript.pyannote[379].start |
4099.44096875 |
transcript.pyannote[379].end |
4108.89096875 |
transcript.pyannote[380].speaker |
SPEAKER_14 |
transcript.pyannote[380].start |
4109.46471875 |
transcript.pyannote[380].end |
4133.51159375 |
transcript.pyannote[381].speaker |
SPEAKER_14 |
transcript.pyannote[381].start |
4133.78159375 |
transcript.pyannote[381].end |
4143.97409375 |
transcript.pyannote[382].speaker |
SPEAKER_15 |
transcript.pyannote[382].start |
4143.97409375 |
transcript.pyannote[382].end |
4144.76721875 |
transcript.pyannote[383].speaker |
SPEAKER_14 |
transcript.pyannote[383].start |
4144.76721875 |
transcript.pyannote[383].end |
4144.83471875 |
transcript.pyannote[384].speaker |
SPEAKER_14 |
transcript.pyannote[384].start |
4144.95284375 |
transcript.pyannote[384].end |
4144.96971875 |
transcript.pyannote[385].speaker |
SPEAKER_15 |
transcript.pyannote[385].start |
4144.96971875 |
transcript.pyannote[385].end |
4146.35346875 |
transcript.pyannote[386].speaker |
SPEAKER_15 |
transcript.pyannote[386].start |
4146.57284375 |
transcript.pyannote[386].end |
4148.58096875 |
transcript.pyannote[387].speaker |
SPEAKER_15 |
transcript.pyannote[387].start |
4149.05346875 |
transcript.pyannote[387].end |
4151.09534375 |
transcript.pyannote[388].speaker |
SPEAKER_14 |
transcript.pyannote[388].start |
4151.29784375 |
transcript.pyannote[388].end |
4157.47409375 |
transcript.pyannote[389].speaker |
SPEAKER_14 |
transcript.pyannote[389].start |
4157.81159375 |
transcript.pyannote[389].end |
4157.98034375 |
transcript.pyannote[390].speaker |
SPEAKER_14 |
transcript.pyannote[390].start |
4158.52034375 |
transcript.pyannote[390].end |
4162.40159375 |
transcript.pyannote[391].speaker |
SPEAKER_14 |
transcript.pyannote[391].start |
4163.44784375 |
transcript.pyannote[391].end |
4164.83159375 |
transcript.pyannote[392].speaker |
SPEAKER_14 |
transcript.pyannote[392].start |
4165.01721875 |
transcript.pyannote[392].end |
4170.68721875 |
transcript.pyannote[393].speaker |
SPEAKER_14 |
transcript.pyannote[393].start |
4170.97409375 |
transcript.pyannote[393].end |
4173.57284375 |
transcript.pyannote[394].speaker |
SPEAKER_14 |
transcript.pyannote[394].start |
4173.70784375 |
transcript.pyannote[394].end |
4174.33221875 |
transcript.pyannote[395].speaker |
SPEAKER_14 |
transcript.pyannote[395].start |
4174.87221875 |
transcript.pyannote[395].end |
4198.86846875 |
transcript.pyannote[396].speaker |
SPEAKER_14 |
transcript.pyannote[396].start |
4199.17221875 |
transcript.pyannote[396].end |
4200.80909375 |
transcript.pyannote[397].speaker |
SPEAKER_14 |
transcript.pyannote[397].start |
4201.63596875 |
transcript.pyannote[397].end |
4215.59159375 |
transcript.pyannote[398].speaker |
SPEAKER_14 |
transcript.pyannote[398].start |
4216.19909375 |
transcript.pyannote[398].end |
4216.50284375 |
transcript.pyannote[399].speaker |
SPEAKER_14 |
transcript.pyannote[399].start |
4216.82346875 |
transcript.pyannote[399].end |
4220.09721875 |
transcript.pyannote[400].speaker |
SPEAKER_14 |
transcript.pyannote[400].start |
4220.40096875 |
transcript.pyannote[400].end |
4225.98659375 |
transcript.pyannote[401].speaker |
SPEAKER_15 |
transcript.pyannote[401].start |
4227.96096875 |
transcript.pyannote[401].end |
4229.00721875 |
transcript.pyannote[402].speaker |
SPEAKER_15 |
transcript.pyannote[402].start |
4229.22659375 |
transcript.pyannote[402].end |
4230.84659375 |
transcript.pyannote[403].speaker |
SPEAKER_14 |
transcript.pyannote[403].start |
4231.20096875 |
transcript.pyannote[403].end |
4231.45409375 |
transcript.pyannote[404].speaker |
SPEAKER_15 |
transcript.pyannote[404].start |
4231.45409375 |
transcript.pyannote[404].end |
4231.47096875 |
transcript.pyannote[405].speaker |
SPEAKER_14 |
transcript.pyannote[405].start |
4231.47096875 |
transcript.pyannote[405].end |
4231.52159375 |
transcript.pyannote[406].speaker |
SPEAKER_14 |
transcript.pyannote[406].start |
4231.67346875 |
transcript.pyannote[406].end |
4233.52971875 |
transcript.pyannote[407].speaker |
SPEAKER_14 |
transcript.pyannote[407].start |
4233.78284375 |
transcript.pyannote[407].end |
4235.47034375 |
transcript.pyannote[408].speaker |
SPEAKER_14 |
transcript.pyannote[408].start |
4235.95971875 |
transcript.pyannote[408].end |
4236.76971875 |
transcript.pyannote[409].speaker |
SPEAKER_14 |
transcript.pyannote[409].start |
4237.78221875 |
transcript.pyannote[409].end |
4238.37284375 |
transcript.pyannote[410].speaker |
SPEAKER_14 |
transcript.pyannote[410].start |
4239.14909375 |
transcript.pyannote[410].end |
4262.77409375 |
transcript.pyannote[411].speaker |
SPEAKER_14 |
transcript.pyannote[411].start |
4262.94284375 |
transcript.pyannote[411].end |
4279.96971875 |
transcript.pyannote[412].speaker |
SPEAKER_14 |
transcript.pyannote[412].start |
4280.22284375 |
transcript.pyannote[412].end |
4311.42471875 |
transcript.pyannote[413].speaker |
SPEAKER_14 |
transcript.pyannote[413].start |
4311.99846875 |
transcript.pyannote[413].end |
4348.26284375 |
transcript.pyannote[414].speaker |
SPEAKER_03 |
transcript.pyannote[414].start |
4350.57471875 |
transcript.pyannote[414].end |
4351.41846875 |
transcript.pyannote[415].speaker |
SPEAKER_14 |
transcript.pyannote[415].start |
4360.61534375 |
transcript.pyannote[415].end |
4362.21846875 |
transcript.pyannote[416].speaker |
SPEAKER_03 |
transcript.pyannote[416].start |
4366.72409375 |
transcript.pyannote[416].end |
4367.71971875 |
transcript.pyannote[417].speaker |
SPEAKER_03 |
transcript.pyannote[417].start |
4368.10784375 |
transcript.pyannote[417].end |
4370.36909375 |
transcript.pyannote[418].speaker |
SPEAKER_14 |
transcript.pyannote[418].start |
4373.10284375 |
transcript.pyannote[418].end |
4373.74409375 |
transcript.pyannote[419].speaker |
SPEAKER_03 |
transcript.pyannote[419].start |
4379.70096875 |
transcript.pyannote[419].end |
4383.48096875 |
transcript.pyannote[420].speaker |
SPEAKER_03 |
transcript.pyannote[420].start |
4383.90284375 |
transcript.pyannote[420].end |
4389.42096875 |
transcript.pyannote[421].speaker |
SPEAKER_03 |
transcript.pyannote[421].start |
4389.64034375 |
transcript.pyannote[421].end |
4407.20721875 |
transcript.pyannote[422].speaker |
SPEAKER_03 |
transcript.pyannote[422].start |
4407.62909375 |
transcript.pyannote[422].end |
4441.64909375 |
transcript.pyannote[423].speaker |
SPEAKER_03 |
transcript.pyannote[423].start |
4442.15534375 |
transcript.pyannote[423].end |
4455.57096875 |
transcript.pyannote[424].speaker |
SPEAKER_15 |
transcript.pyannote[424].start |
4457.29221875 |
transcript.pyannote[424].end |
4457.74784375 |
transcript.pyannote[425].speaker |
SPEAKER_15 |
transcript.pyannote[425].start |
4458.22034375 |
transcript.pyannote[425].end |
4476.20909375 |
transcript.pyannote[426].speaker |
SPEAKER_03 |
transcript.pyannote[426].start |
4475.80409375 |
transcript.pyannote[426].end |
4495.07534375 |
transcript.pyannote[427].speaker |
SPEAKER_15 |
transcript.pyannote[427].start |
4496.20596875 |
transcript.pyannote[427].end |
4506.43221875 |
transcript.pyannote[428].speaker |
SPEAKER_03 |
transcript.pyannote[428].start |
4506.11159375 |
transcript.pyannote[428].end |
4509.41909375 |
transcript.pyannote[429].speaker |
SPEAKER_03 |
transcript.pyannote[429].start |
4512.08534375 |
transcript.pyannote[429].end |
4512.79409375 |
transcript.pyannote[430].speaker |
SPEAKER_03 |
transcript.pyannote[430].start |
4513.19909375 |
transcript.pyannote[430].end |
4527.59346875 |
transcript.pyannote[431].speaker |
SPEAKER_15 |
transcript.pyannote[431].start |
4528.43721875 |
transcript.pyannote[431].end |
4547.08409375 |
transcript.pyannote[432].speaker |
SPEAKER_20 |
transcript.pyannote[432].start |
4541.83596875 |
transcript.pyannote[432].end |
4541.85284375 |
transcript.pyannote[433].speaker |
SPEAKER_03 |
transcript.pyannote[433].start |
4541.85284375 |
transcript.pyannote[433].end |
4542.29159375 |
transcript.pyannote[434].speaker |
SPEAKER_03 |
transcript.pyannote[434].start |
4546.45971875 |
transcript.pyannote[434].end |
4593.96284375 |
transcript.pyannote[435].speaker |
SPEAKER_15 |
transcript.pyannote[435].start |
4552.95659375 |
transcript.pyannote[435].end |
4553.34471875 |
transcript.pyannote[436].speaker |
SPEAKER_00 |
transcript.pyannote[436].start |
4553.34471875 |
transcript.pyannote[436].end |
4553.36159375 |
transcript.pyannote[437].speaker |
SPEAKER_03 |
transcript.pyannote[437].start |
4594.18221875 |
transcript.pyannote[437].end |
4597.11846875 |
transcript.pyannote[438].speaker |
SPEAKER_03 |
transcript.pyannote[438].start |
4597.52346875 |
transcript.pyannote[438].end |
4597.99596875 |
transcript.pyannote[439].speaker |
SPEAKER_15 |
transcript.pyannote[439].start |
4599.41346875 |
transcript.pyannote[439].end |
4599.78471875 |
transcript.pyannote[440].speaker |
SPEAKER_15 |
transcript.pyannote[440].start |
4600.57784375 |
transcript.pyannote[440].end |
4606.12971875 |
transcript.pyannote[441].speaker |
SPEAKER_03 |
transcript.pyannote[441].start |
4605.65721875 |
transcript.pyannote[441].end |
4605.75846875 |
transcript.pyannote[442].speaker |
SPEAKER_22 |
transcript.pyannote[442].start |
4605.75846875 |
transcript.pyannote[442].end |
4605.85971875 |
transcript.pyannote[443].speaker |
SPEAKER_03 |
transcript.pyannote[443].start |
4605.85971875 |
transcript.pyannote[443].end |
4605.91034375 |
transcript.pyannote[444].speaker |
SPEAKER_15 |
transcript.pyannote[444].start |
4606.33221875 |
transcript.pyannote[444].end |
4612.12034375 |
transcript.pyannote[445].speaker |
SPEAKER_15 |
transcript.pyannote[445].start |
4612.27221875 |
transcript.pyannote[445].end |
4613.53784375 |
transcript.pyannote[446].speaker |
SPEAKER_03 |
transcript.pyannote[446].start |
4613.16659375 |
transcript.pyannote[446].end |
4616.62596875 |
transcript.pyannote[447].speaker |
SPEAKER_15 |
transcript.pyannote[447].start |
4613.68971875 |
transcript.pyannote[447].end |
4615.30971875 |
transcript.pyannote[448].speaker |
SPEAKER_03 |
transcript.pyannote[448].start |
4617.26721875 |
transcript.pyannote[448].end |
4617.68909375 |
transcript.pyannote[449].speaker |
SPEAKER_03 |
transcript.pyannote[449].start |
4617.75659375 |
transcript.pyannote[449].end |
4624.65846875 |
transcript.pyannote[450].speaker |
SPEAKER_15 |
transcript.pyannote[450].start |
4624.97909375 |
transcript.pyannote[450].end |
4630.27784375 |
transcript.pyannote[451].speaker |
SPEAKER_03 |
transcript.pyannote[451].start |
4629.78846875 |
transcript.pyannote[451].end |
4634.80034375 |
transcript.pyannote[452].speaker |
SPEAKER_15 |
transcript.pyannote[452].start |
4631.18909375 |
transcript.pyannote[452].end |
4632.25221875 |
transcript.pyannote[453].speaker |
SPEAKER_03 |
transcript.pyannote[453].start |
4635.12096875 |
transcript.pyannote[453].end |
4635.84659375 |
transcript.pyannote[454].speaker |
SPEAKER_03 |
transcript.pyannote[454].start |
4637.24721875 |
transcript.pyannote[454].end |
4641.22971875 |
transcript.pyannote[455].speaker |
SPEAKER_03 |
transcript.pyannote[455].start |
4641.76971875 |
transcript.pyannote[455].end |
4644.50346875 |
transcript.pyannote[456].speaker |
SPEAKER_03 |
transcript.pyannote[456].start |
4644.95909375 |
transcript.pyannote[456].end |
4649.61659375 |
transcript.pyannote[457].speaker |
SPEAKER_03 |
transcript.pyannote[457].start |
4649.97096875 |
transcript.pyannote[457].end |
4669.36034375 |
transcript.pyannote[458].speaker |
SPEAKER_15 |
transcript.pyannote[458].start |
4669.44471875 |
transcript.pyannote[458].end |
4677.62909375 |
transcript.pyannote[459].speaker |
SPEAKER_15 |
transcript.pyannote[459].start |
4677.91596875 |
transcript.pyannote[459].end |
4678.30409375 |
transcript.pyannote[460].speaker |
SPEAKER_15 |
transcript.pyannote[460].start |
4678.84409375 |
transcript.pyannote[460].end |
4698.82409375 |
transcript.pyannote[461].speaker |
SPEAKER_03 |
transcript.pyannote[461].start |
4698.82409375 |
transcript.pyannote[461].end |
4703.44784375 |
transcript.pyannote[462].speaker |
SPEAKER_03 |
transcript.pyannote[462].start |
4704.22409375 |
transcript.pyannote[462].end |
4718.16284375 |
transcript.pyannote[463].speaker |
SPEAKER_15 |
transcript.pyannote[463].start |
4719.58034375 |
transcript.pyannote[463].end |
4726.70159375 |
transcript.pyannote[464].speaker |
SPEAKER_03 |
transcript.pyannote[464].start |
4726.81971875 |
transcript.pyannote[464].end |
4733.70471875 |
transcript.pyannote[465].speaker |
SPEAKER_03 |
transcript.pyannote[465].start |
4734.71721875 |
transcript.pyannote[465].end |
4741.11284375 |
transcript.pyannote[466].speaker |
SPEAKER_15 |
transcript.pyannote[466].start |
4743.01971875 |
transcript.pyannote[466].end |
4748.14971875 |
transcript.pyannote[467].speaker |
SPEAKER_03 |
transcript.pyannote[467].start |
4749.31409375 |
transcript.pyannote[467].end |
4758.79784375 |
transcript.pyannote[468].speaker |
SPEAKER_03 |
transcript.pyannote[468].start |
4759.06784375 |
transcript.pyannote[468].end |
4760.68784375 |
transcript.pyannote[469].speaker |
SPEAKER_20 |
transcript.pyannote[469].start |
4759.11846875 |
transcript.pyannote[469].end |
4759.47284375 |
transcript.pyannote[470].speaker |
SPEAKER_20 |
transcript.pyannote[470].start |
4760.36721875 |
transcript.pyannote[470].end |
4761.46409375 |
transcript.pyannote[471].speaker |
SPEAKER_03 |
transcript.pyannote[471].start |
4761.16034375 |
transcript.pyannote[471].end |
4761.70034375 |
transcript.pyannote[472].speaker |
SPEAKER_03 |
transcript.pyannote[472].start |
4761.75096875 |
transcript.pyannote[472].end |
4765.46346875 |
transcript.pyannote[473].speaker |
SPEAKER_03 |
transcript.pyannote[473].start |
4766.08784375 |
transcript.pyannote[473].end |
4781.32596875 |
transcript.pyannote[474].speaker |
SPEAKER_03 |
transcript.pyannote[474].start |
4781.78159375 |
transcript.pyannote[474].end |
4783.30034375 |
transcript.pyannote[475].speaker |
SPEAKER_03 |
transcript.pyannote[475].start |
4783.67159375 |
transcript.pyannote[475].end |
4792.34534375 |
transcript.pyannote[476].speaker |
SPEAKER_15 |
transcript.pyannote[476].start |
4792.53096875 |
transcript.pyannote[476].end |
4795.66971875 |
transcript.pyannote[477].speaker |
SPEAKER_03 |
transcript.pyannote[477].start |
4794.23534375 |
transcript.pyannote[477].end |
4796.24346875 |
transcript.pyannote[478].speaker |
SPEAKER_15 |
transcript.pyannote[478].start |
4796.63159375 |
transcript.pyannote[478].end |
4799.28096875 |
transcript.pyannote[479].speaker |
SPEAKER_03 |
transcript.pyannote[479].start |
4797.44159375 |
transcript.pyannote[479].end |
4798.96034375 |
transcript.pyannote[480].speaker |
SPEAKER_03 |
transcript.pyannote[480].start |
4799.61846875 |
transcript.pyannote[480].end |
4803.53346875 |
transcript.pyannote[481].speaker |
SPEAKER_03 |
transcript.pyannote[481].start |
4803.90471875 |
transcript.pyannote[481].end |
4829.38596875 |
transcript.pyannote[482].speaker |
SPEAKER_03 |
transcript.pyannote[482].start |
4829.97659375 |
transcript.pyannote[482].end |
4830.46596875 |
transcript.pyannote[483].speaker |
SPEAKER_15 |
transcript.pyannote[483].start |
4830.68534375 |
transcript.pyannote[483].end |
4832.65971875 |
transcript.pyannote[484].speaker |
SPEAKER_03 |
transcript.pyannote[484].start |
4831.24221875 |
transcript.pyannote[484].end |
4835.47784375 |
transcript.pyannote[485].speaker |
SPEAKER_03 |
transcript.pyannote[485].start |
4835.89971875 |
transcript.pyannote[485].end |
4846.15971875 |
transcript.pyannote[486].speaker |
SPEAKER_03 |
transcript.pyannote[486].start |
4846.95284375 |
transcript.pyannote[486].end |
4849.72034375 |
transcript.pyannote[487].speaker |
SPEAKER_03 |
transcript.pyannote[487].start |
4850.24346875 |
transcript.pyannote[487].end |
4851.57659375 |
transcript.pyannote[488].speaker |
SPEAKER_03 |
transcript.pyannote[488].start |
4852.23471875 |
transcript.pyannote[488].end |
4853.38221875 |
transcript.pyannote[489].speaker |
SPEAKER_03 |
transcript.pyannote[489].start |
4853.82096875 |
transcript.pyannote[489].end |
4855.30596875 |
transcript.pyannote[490].speaker |
SPEAKER_03 |
transcript.pyannote[490].start |
4855.86284375 |
transcript.pyannote[490].end |
4859.08596875 |
transcript.pyannote[491].speaker |
SPEAKER_03 |
transcript.pyannote[491].start |
4859.89596875 |
transcript.pyannote[491].end |
4862.98409375 |
transcript.pyannote[492].speaker |
SPEAKER_03 |
transcript.pyannote[492].start |
4863.43971875 |
transcript.pyannote[492].end |
4869.81846875 |
transcript.pyannote[493].speaker |
SPEAKER_03 |
transcript.pyannote[493].start |
4870.03784375 |
transcript.pyannote[493].end |
4873.78409375 |
transcript.pyannote[494].speaker |
SPEAKER_03 |
transcript.pyannote[494].start |
4874.76284375 |
transcript.pyannote[494].end |
4875.60659375 |
transcript.pyannote[495].speaker |
SPEAKER_15 |
transcript.pyannote[495].start |
4875.79221875 |
transcript.pyannote[495].end |
4884.29721875 |
transcript.pyannote[496].speaker |
SPEAKER_15 |
transcript.pyannote[496].start |
4884.63471875 |
transcript.pyannote[496].end |
4886.15346875 |
transcript.pyannote[497].speaker |
SPEAKER_03 |
transcript.pyannote[497].start |
4886.03534375 |
transcript.pyannote[497].end |
4892.41409375 |
transcript.pyannote[498].speaker |
SPEAKER_03 |
transcript.pyannote[498].start |
4893.51096875 |
transcript.pyannote[498].end |
4897.39221875 |
transcript.pyannote[499].speaker |
SPEAKER_03 |
transcript.pyannote[499].start |
4898.08409375 |
transcript.pyannote[499].end |
4898.48909375 |
transcript.pyannote[500].speaker |
SPEAKER_15 |
transcript.pyannote[500].start |
4898.67471875 |
transcript.pyannote[500].end |
4899.80534375 |
transcript.pyannote[501].speaker |
SPEAKER_03 |
transcript.pyannote[501].start |
4899.28221875 |
transcript.pyannote[501].end |
4905.98159375 |
transcript.pyannote[502].speaker |
SPEAKER_03 |
transcript.pyannote[502].start |
4906.40346875 |
transcript.pyannote[502].end |
4917.55784375 |
transcript.pyannote[503].speaker |
SPEAKER_22 |
transcript.pyannote[503].start |
4917.84471875 |
transcript.pyannote[503].end |
4918.28346875 |
transcript.pyannote[504].speaker |
SPEAKER_03 |
transcript.pyannote[504].start |
4918.45221875 |
transcript.pyannote[504].end |
4934.78721875 |
transcript.pyannote[505].speaker |
SPEAKER_20 |
transcript.pyannote[505].start |
4934.95596875 |
transcript.pyannote[505].end |
4935.27659375 |
transcript.pyannote[506].speaker |
SPEAKER_03 |
transcript.pyannote[506].start |
4935.54659375 |
transcript.pyannote[506].end |
4961.09534375 |
transcript.pyannote[507].speaker |
SPEAKER_03 |
transcript.pyannote[507].start |
4961.56784375 |
transcript.pyannote[507].end |
4976.24909375 |
transcript.pyannote[508].speaker |
SPEAKER_03 |
transcript.pyannote[508].start |
4977.34596875 |
transcript.pyannote[508].end |
4987.96034375 |
transcript.pyannote[509].speaker |
SPEAKER_15 |
transcript.pyannote[509].start |
4988.44971875 |
transcript.pyannote[509].end |
4990.12034375 |
transcript.pyannote[510].speaker |
SPEAKER_15 |
transcript.pyannote[510].start |
4990.72784375 |
transcript.pyannote[510].end |
4991.74034375 |
transcript.pyannote[511].speaker |
SPEAKER_03 |
transcript.pyannote[511].start |
4996.83659375 |
transcript.pyannote[511].end |
4996.85346875 |
transcript.pyannote[512].speaker |
SPEAKER_03 |
transcript.pyannote[512].start |
4996.97159375 |
transcript.pyannote[512].end |
4997.61284375 |
transcript.pyannote[513].speaker |
SPEAKER_03 |
transcript.pyannote[513].start |
4997.96721875 |
transcript.pyannote[513].end |
4998.03471875 |
transcript.pyannote[514].speaker |
SPEAKER_03 |
transcript.pyannote[514].start |
4998.74346875 |
transcript.pyannote[514].end |
4998.91221875 |
transcript.pyannote[515].speaker |
SPEAKER_03 |
transcript.pyannote[515].start |
4999.62096875 |
transcript.pyannote[515].end |
5003.95784375 |
transcript.pyannote[516].speaker |
SPEAKER_03 |
transcript.pyannote[516].start |
5009.32409375 |
transcript.pyannote[516].end |
5009.76284375 |
transcript.pyannote[517].speaker |
SPEAKER_03 |
transcript.pyannote[517].start |
5009.93159375 |
transcript.pyannote[517].end |
5011.45034375 |
transcript.pyannote[518].speaker |
SPEAKER_03 |
transcript.pyannote[518].start |
5011.72034375 |
transcript.pyannote[518].end |
5014.50471875 |
transcript.pyannote[519].speaker |
SPEAKER_03 |
transcript.pyannote[519].start |
5014.99409375 |
transcript.pyannote[519].end |
5016.14159375 |
transcript.pyannote[520].speaker |
SPEAKER_04 |
transcript.pyannote[520].start |
5023.27971875 |
transcript.pyannote[520].end |
5024.15721875 |
transcript.pyannote[521].speaker |
SPEAKER_15 |
transcript.pyannote[521].start |
5024.19096875 |
transcript.pyannote[521].end |
5025.11909375 |
transcript.pyannote[522].speaker |
SPEAKER_04 |
transcript.pyannote[522].start |
5025.25409375 |
transcript.pyannote[522].end |
5066.41221875 |
transcript.pyannote[523].speaker |
SPEAKER_22 |
transcript.pyannote[523].start |
5066.41221875 |
transcript.pyannote[523].end |
5066.49659375 |
transcript.pyannote[524].speaker |
SPEAKER_04 |
transcript.pyannote[524].start |
5066.49659375 |
transcript.pyannote[524].end |
5066.61471875 |
transcript.pyannote[525].speaker |
SPEAKER_04 |
transcript.pyannote[525].start |
5066.73284375 |
transcript.pyannote[525].end |
5067.61034375 |
transcript.pyannote[526].speaker |
SPEAKER_04 |
transcript.pyannote[526].start |
5067.86346875 |
transcript.pyannote[526].end |
5078.47784375 |
transcript.pyannote[527].speaker |
SPEAKER_04 |
transcript.pyannote[527].start |
5078.56221875 |
transcript.pyannote[527].end |
5099.13284375 |
transcript.pyannote[528].speaker |
SPEAKER_04 |
transcript.pyannote[528].start |
5099.47034375 |
transcript.pyannote[528].end |
5105.89971875 |
transcript.pyannote[529].speaker |
SPEAKER_04 |
transcript.pyannote[529].start |
5106.15284375 |
transcript.pyannote[529].end |
5108.02596875 |
transcript.pyannote[530].speaker |
SPEAKER_15 |
transcript.pyannote[530].start |
5109.37596875 |
transcript.pyannote[530].end |
5109.46034375 |
transcript.pyannote[531].speaker |
SPEAKER_15 |
transcript.pyannote[531].start |
5110.28721875 |
transcript.pyannote[531].end |
5119.95659375 |
transcript.pyannote[532].speaker |
SPEAKER_15 |
transcript.pyannote[532].start |
5120.66534375 |
transcript.pyannote[532].end |
5125.35659375 |
transcript.pyannote[533].speaker |
SPEAKER_04 |
transcript.pyannote[533].start |
5125.17096875 |
transcript.pyannote[533].end |
5127.36471875 |
transcript.pyannote[534].speaker |
SPEAKER_15 |
transcript.pyannote[534].start |
5127.36471875 |
transcript.pyannote[534].end |
5131.92096875 |
transcript.pyannote[535].speaker |
SPEAKER_15 |
transcript.pyannote[535].start |
5132.24159375 |
transcript.pyannote[535].end |
5148.37409375 |
transcript.pyannote[536].speaker |
SPEAKER_04 |
transcript.pyannote[536].start |
5146.63596875 |
transcript.pyannote[536].end |
5147.71596875 |
transcript.pyannote[537].speaker |
SPEAKER_04 |
transcript.pyannote[537].start |
5147.85096875 |
transcript.pyannote[537].end |
5148.94784375 |
transcript.pyannote[538].speaker |
SPEAKER_04 |
transcript.pyannote[538].start |
5149.11659375 |
transcript.pyannote[538].end |
5149.87596875 |
transcript.pyannote[539].speaker |
SPEAKER_15 |
transcript.pyannote[539].start |
5151.04034375 |
transcript.pyannote[539].end |
5154.26346875 |
transcript.pyannote[540].speaker |
SPEAKER_15 |
transcript.pyannote[540].start |
5154.78659375 |
transcript.pyannote[540].end |
5157.26721875 |
transcript.pyannote[541].speaker |
SPEAKER_04 |
transcript.pyannote[541].start |
5156.17034375 |
transcript.pyannote[541].end |
5158.16159375 |
transcript.pyannote[542].speaker |
SPEAKER_15 |
transcript.pyannote[542].start |
5159.20784375 |
transcript.pyannote[542].end |
5160.30471875 |
transcript.pyannote[543].speaker |
SPEAKER_04 |
transcript.pyannote[543].start |
5160.00096875 |
transcript.pyannote[543].end |
5162.36346875 |
transcript.pyannote[544].speaker |
SPEAKER_15 |
transcript.pyannote[544].start |
5161.78971875 |
transcript.pyannote[544].end |
5165.65409375 |
transcript.pyannote[545].speaker |
SPEAKER_04 |
transcript.pyannote[545].start |
5165.48534375 |
transcript.pyannote[545].end |
5166.22784375 |
transcript.pyannote[546].speaker |
SPEAKER_15 |
transcript.pyannote[546].start |
5166.22784375 |
transcript.pyannote[546].end |
5167.27409375 |
transcript.pyannote[547].speaker |
SPEAKER_04 |
transcript.pyannote[547].start |
5167.40909375 |
transcript.pyannote[547].end |
5171.67846875 |
transcript.pyannote[548].speaker |
SPEAKER_04 |
transcript.pyannote[548].start |
5171.93159375 |
transcript.pyannote[548].end |
5202.25596875 |
transcript.pyannote[549].speaker |
SPEAKER_03 |
transcript.pyannote[549].start |
5175.15471875 |
transcript.pyannote[549].end |
5175.20534375 |
transcript.pyannote[550].speaker |
SPEAKER_20 |
transcript.pyannote[550].start |
5175.20534375 |
transcript.pyannote[550].end |
5175.67784375 |
transcript.pyannote[551].speaker |
SPEAKER_03 |
transcript.pyannote[551].start |
5175.67784375 |
transcript.pyannote[551].end |
5175.72846875 |
transcript.pyannote[552].speaker |
SPEAKER_04 |
transcript.pyannote[552].start |
5202.47534375 |
transcript.pyannote[552].end |
5206.00221875 |
transcript.pyannote[553].speaker |
SPEAKER_04 |
transcript.pyannote[553].start |
5206.45784375 |
transcript.pyannote[553].end |
5230.55534375 |
transcript.pyannote[554].speaker |
SPEAKER_15 |
transcript.pyannote[554].start |
5231.48346875 |
transcript.pyannote[554].end |
5261.60534375 |
transcript.pyannote[555].speaker |
SPEAKER_04 |
transcript.pyannote[555].start |
5257.70721875 |
transcript.pyannote[555].end |
5257.94346875 |
transcript.pyannote[556].speaker |
SPEAKER_04 |
transcript.pyannote[556].start |
5258.29784375 |
transcript.pyannote[556].end |
5258.63534375 |
transcript.pyannote[557].speaker |
SPEAKER_04 |
transcript.pyannote[557].start |
5259.25971875 |
transcript.pyannote[557].end |
5259.79971875 |
transcript.pyannote[558].speaker |
SPEAKER_04 |
transcript.pyannote[558].start |
5261.33534375 |
transcript.pyannote[558].end |
5262.93846875 |
transcript.pyannote[559].speaker |
SPEAKER_04 |
transcript.pyannote[559].start |
5264.06909375 |
transcript.pyannote[559].end |
5278.91909375 |
transcript.pyannote[560].speaker |
SPEAKER_04 |
transcript.pyannote[560].start |
5279.34096875 |
transcript.pyannote[560].end |
5303.33721875 |
transcript.pyannote[561].speaker |
SPEAKER_04 |
transcript.pyannote[561].start |
5303.91096875 |
transcript.pyannote[561].end |
5307.87659375 |
transcript.pyannote[562].speaker |
SPEAKER_15 |
transcript.pyannote[562].start |
5307.96096875 |
transcript.pyannote[562].end |
5308.14659375 |
transcript.pyannote[563].speaker |
SPEAKER_15 |
transcript.pyannote[563].start |
5308.63596875 |
transcript.pyannote[563].end |
5310.84659375 |
transcript.pyannote[564].speaker |
SPEAKER_15 |
transcript.pyannote[564].start |
5311.31909375 |
transcript.pyannote[564].end |
5311.43721875 |
transcript.pyannote[565].speaker |
SPEAKER_04 |
transcript.pyannote[565].start |
5311.43721875 |
transcript.pyannote[565].end |
5311.55534375 |
transcript.pyannote[566].speaker |
SPEAKER_15 |
transcript.pyannote[566].start |
5311.55534375 |
transcript.pyannote[566].end |
5314.00221875 |
transcript.pyannote[567].speaker |
SPEAKER_04 |
transcript.pyannote[567].start |
5314.00221875 |
transcript.pyannote[567].end |
5322.15284375 |
transcript.pyannote[568].speaker |
SPEAKER_15 |
transcript.pyannote[568].start |
5314.39034375 |
transcript.pyannote[568].end |
5314.74471875 |
transcript.pyannote[569].speaker |
SPEAKER_15 |
transcript.pyannote[569].start |
5315.08221875 |
transcript.pyannote[569].end |
5315.74034375 |
transcript.pyannote[570].speaker |
SPEAKER_15 |
transcript.pyannote[570].start |
5315.90909375 |
transcript.pyannote[570].end |
5317.34346875 |
transcript.pyannote[571].speaker |
SPEAKER_04 |
transcript.pyannote[571].start |
5322.96284375 |
transcript.pyannote[571].end |
5323.51971875 |
transcript.pyannote[572].speaker |
SPEAKER_15 |
transcript.pyannote[572].start |
5323.60409375 |
transcript.pyannote[572].end |
5323.62096875 |
transcript.pyannote[573].speaker |
SPEAKER_04 |
transcript.pyannote[573].start |
5323.62096875 |
transcript.pyannote[573].end |
5323.68846875 |
transcript.pyannote[574].speaker |
SPEAKER_15 |
transcript.pyannote[574].start |
5323.68846875 |
transcript.pyannote[574].end |
5324.24534375 |
transcript.pyannote[575].speaker |
SPEAKER_04 |
transcript.pyannote[575].start |
5324.24534375 |
transcript.pyannote[575].end |
5326.96221875 |
transcript.pyannote[576].speaker |
SPEAKER_15 |
transcript.pyannote[576].start |
5326.96221875 |
transcript.pyannote[576].end |
5327.01284375 |
transcript.pyannote[577].speaker |
SPEAKER_04 |
transcript.pyannote[577].start |
5327.01284375 |
transcript.pyannote[577].end |
5327.02971875 |
transcript.pyannote[578].speaker |
SPEAKER_15 |
transcript.pyannote[578].start |
5327.02971875 |
transcript.pyannote[578].end |
5327.33346875 |
transcript.pyannote[579].speaker |
SPEAKER_04 |
transcript.pyannote[579].start |
5327.33346875 |
transcript.pyannote[579].end |
5327.35034375 |
transcript.pyannote[580].speaker |
SPEAKER_15 |
transcript.pyannote[580].start |
5327.36721875 |
transcript.pyannote[580].end |
5332.26096875 |
transcript.pyannote[581].speaker |
SPEAKER_04 |
transcript.pyannote[581].start |
5332.26096875 |
transcript.pyannote[581].end |
5333.40846875 |
transcript.pyannote[582].speaker |
SPEAKER_15 |
transcript.pyannote[582].start |
5333.40846875 |
transcript.pyannote[582].end |
5334.26909375 |
transcript.pyannote[583].speaker |
SPEAKER_04 |
transcript.pyannote[583].start |
5334.26909375 |
transcript.pyannote[583].end |
5334.28596875 |
transcript.pyannote[584].speaker |
SPEAKER_04 |
transcript.pyannote[584].start |
5334.30284375 |
transcript.pyannote[584].end |
5347.29659375 |
transcript.pyannote[585].speaker |
SPEAKER_04 |
transcript.pyannote[585].start |
5347.71846875 |
transcript.pyannote[585].end |
5360.74596875 |
transcript.pyannote[586].speaker |
SPEAKER_04 |
transcript.pyannote[586].start |
5361.30284375 |
transcript.pyannote[586].end |
5374.00971875 |
transcript.pyannote[587].speaker |
SPEAKER_04 |
transcript.pyannote[587].start |
5374.34721875 |
transcript.pyannote[587].end |
5380.23659375 |
transcript.pyannote[588].speaker |
SPEAKER_04 |
transcript.pyannote[588].start |
5380.89471875 |
transcript.pyannote[588].end |
5383.89846875 |
transcript.pyannote[589].speaker |
SPEAKER_04 |
transcript.pyannote[589].start |
5384.10096875 |
transcript.pyannote[589].end |
5388.84284375 |
transcript.pyannote[590].speaker |
SPEAKER_15 |
transcript.pyannote[590].start |
5389.33221875 |
transcript.pyannote[590].end |
5395.22159375 |
transcript.pyannote[591].speaker |
SPEAKER_15 |
transcript.pyannote[591].start |
5395.45784375 |
transcript.pyannote[591].end |
5401.98846875 |
transcript.pyannote[592].speaker |
SPEAKER_15 |
transcript.pyannote[592].start |
5402.32596875 |
transcript.pyannote[592].end |
5410.78034375 |
transcript.pyannote[593].speaker |
SPEAKER_15 |
transcript.pyannote[593].start |
5410.81409375 |
transcript.pyannote[593].end |
5416.01159375 |
transcript.pyannote[594].speaker |
SPEAKER_04 |
transcript.pyannote[594].start |
5416.51784375 |
transcript.pyannote[594].end |
5451.46596875 |
transcript.pyannote[595].speaker |
SPEAKER_20 |
transcript.pyannote[595].start |
5426.28846875 |
transcript.pyannote[595].end |
5426.44034375 |
transcript.pyannote[596].speaker |
SPEAKER_15 |
transcript.pyannote[596].start |
5452.57971875 |
transcript.pyannote[596].end |
5495.05409375 |
transcript.pyannote[597].speaker |
SPEAKER_22 |
transcript.pyannote[597].start |
5490.29534375 |
transcript.pyannote[597].end |
5490.34596875 |
transcript.pyannote[598].speaker |
SPEAKER_04 |
transcript.pyannote[598].start |
5490.34596875 |
transcript.pyannote[598].end |
5490.66659375 |
transcript.pyannote[599].speaker |
SPEAKER_04 |
transcript.pyannote[599].start |
5494.69971875 |
transcript.pyannote[599].end |
5500.80846875 |
transcript.pyannote[600].speaker |
SPEAKER_15 |
transcript.pyannote[600].start |
5497.29846875 |
transcript.pyannote[600].end |
5497.50096875 |
transcript.pyannote[601].speaker |
SPEAKER_04 |
transcript.pyannote[601].start |
5501.06159375 |
transcript.pyannote[601].end |
5503.72784375 |
transcript.pyannote[602].speaker |
SPEAKER_04 |
transcript.pyannote[602].start |
5504.36909375 |
transcript.pyannote[602].end |
5525.29409375 |
transcript.pyannote[603].speaker |
SPEAKER_15 |
transcript.pyannote[603].start |
5525.29409375 |
transcript.pyannote[603].end |
5526.76221875 |
transcript.pyannote[604].speaker |
SPEAKER_03 |
transcript.pyannote[604].start |
5528.68596875 |
transcript.pyannote[604].end |
5529.19221875 |
transcript.pyannote[605].speaker |
SPEAKER_03 |
transcript.pyannote[605].start |
5531.18346875 |
transcript.pyannote[605].end |
5533.46159375 |
transcript.pyannote[606].speaker |
SPEAKER_18 |
transcript.pyannote[606].start |
5536.53284375 |
transcript.pyannote[606].end |
5539.38471875 |
transcript.pyannote[607].speaker |
SPEAKER_03 |
transcript.pyannote[607].start |
5539.90784375 |
transcript.pyannote[607].end |
5540.78534375 |
transcript.pyannote[608].speaker |
SPEAKER_18 |
transcript.pyannote[608].start |
5540.78534375 |
transcript.pyannote[608].end |
5540.88659375 |
transcript.pyannote[609].speaker |
SPEAKER_18 |
transcript.pyannote[609].start |
5546.77596875 |
transcript.pyannote[609].end |
5547.97409375 |
transcript.pyannote[610].speaker |
SPEAKER_20 |
transcript.pyannote[610].start |
5547.97409375 |
transcript.pyannote[610].end |
5548.02471875 |
transcript.pyannote[611].speaker |
SPEAKER_18 |
transcript.pyannote[611].start |
5548.02471875 |
transcript.pyannote[611].end |
5559.58409375 |
transcript.pyannote[612].speaker |
SPEAKER_18 |
transcript.pyannote[612].start |
5559.73596875 |
transcript.pyannote[612].end |
5570.56971875 |
transcript.pyannote[613].speaker |
SPEAKER_15 |
transcript.pyannote[613].start |
5570.56971875 |
transcript.pyannote[613].end |
5570.58659375 |
transcript.pyannote[614].speaker |
SPEAKER_18 |
transcript.pyannote[614].start |
5571.39659375 |
transcript.pyannote[614].end |
5571.97034375 |
transcript.pyannote[615].speaker |
SPEAKER_15 |
transcript.pyannote[615].start |
5571.97034375 |
transcript.pyannote[615].end |
5596.62471875 |
transcript.pyannote[616].speaker |
SPEAKER_15 |
transcript.pyannote[616].start |
5596.82721875 |
transcript.pyannote[616].end |
5602.02471875 |
transcript.pyannote[617].speaker |
SPEAKER_18 |
transcript.pyannote[617].start |
5601.40034375 |
transcript.pyannote[617].end |
5601.70409375 |
transcript.pyannote[618].speaker |
SPEAKER_18 |
transcript.pyannote[618].start |
5602.02471875 |
transcript.pyannote[618].end |
5616.82409375 |
transcript.pyannote[619].speaker |
SPEAKER_15 |
transcript.pyannote[619].start |
5602.73346875 |
transcript.pyannote[619].end |
5603.66159375 |
transcript.pyannote[620].speaker |
SPEAKER_18 |
transcript.pyannote[620].start |
5617.07721875 |
transcript.pyannote[620].end |
5622.96659375 |
transcript.pyannote[621].speaker |
SPEAKER_15 |
transcript.pyannote[621].start |
5622.96659375 |
transcript.pyannote[621].end |
5630.18909375 |
transcript.pyannote[622].speaker |
SPEAKER_18 |
transcript.pyannote[622].start |
5628.36659375 |
transcript.pyannote[622].end |
5628.43409375 |
transcript.pyannote[623].speaker |
SPEAKER_18 |
transcript.pyannote[623].start |
5628.45096875 |
transcript.pyannote[623].end |
5628.65346875 |
transcript.pyannote[624].speaker |
SPEAKER_18 |
transcript.pyannote[624].start |
5628.82221875 |
transcript.pyannote[624].end |
5632.38284375 |
transcript.pyannote[625].speaker |
SPEAKER_18 |
transcript.pyannote[625].start |
5632.75409375 |
transcript.pyannote[625].end |
5633.44596875 |
transcript.pyannote[626].speaker |
SPEAKER_18 |
transcript.pyannote[626].start |
5633.93534375 |
transcript.pyannote[626].end |
5639.67284375 |
transcript.pyannote[627].speaker |
SPEAKER_18 |
transcript.pyannote[627].start |
5640.07784375 |
transcript.pyannote[627].end |
5643.50346875 |
transcript.pyannote[628].speaker |
SPEAKER_18 |
transcript.pyannote[628].start |
5643.97596875 |
transcript.pyannote[628].end |
5662.97721875 |
transcript.pyannote[629].speaker |
SPEAKER_15 |
transcript.pyannote[629].start |
5662.97721875 |
transcript.pyannote[629].end |
5669.92971875 |
transcript.pyannote[630].speaker |
SPEAKER_15 |
transcript.pyannote[630].start |
5670.58784375 |
transcript.pyannote[630].end |
5678.33346875 |
transcript.pyannote[631].speaker |
SPEAKER_18 |
transcript.pyannote[631].start |
5679.09284375 |
transcript.pyannote[631].end |
5685.91034375 |
transcript.pyannote[632].speaker |
SPEAKER_15 |
transcript.pyannote[632].start |
5686.51784375 |
transcript.pyannote[632].end |
5686.55159375 |
transcript.pyannote[633].speaker |
SPEAKER_18 |
transcript.pyannote[633].start |
5686.55159375 |
transcript.pyannote[633].end |
5686.97346875 |
transcript.pyannote[634].speaker |
SPEAKER_15 |
transcript.pyannote[634].start |
5686.97346875 |
transcript.pyannote[634].end |
5687.42909375 |
transcript.pyannote[635].speaker |
SPEAKER_15 |
transcript.pyannote[635].start |
5687.78346875 |
transcript.pyannote[635].end |
5695.00596875 |
transcript.pyannote[636].speaker |
SPEAKER_18 |
transcript.pyannote[636].start |
5692.94721875 |
transcript.pyannote[636].end |
5693.21721875 |
transcript.pyannote[637].speaker |
SPEAKER_18 |
transcript.pyannote[637].start |
5695.00596875 |
transcript.pyannote[637].end |
5709.16409375 |
transcript.pyannote[638].speaker |
SPEAKER_18 |
transcript.pyannote[638].start |
5709.53534375 |
transcript.pyannote[638].end |
5721.06096875 |
transcript.pyannote[639].speaker |
SPEAKER_18 |
transcript.pyannote[639].start |
5721.51659375 |
transcript.pyannote[639].end |
5722.17471875 |
transcript.pyannote[640].speaker |
SPEAKER_15 |
transcript.pyannote[640].start |
5722.17471875 |
transcript.pyannote[640].end |
5722.25909375 |
transcript.pyannote[641].speaker |
SPEAKER_18 |
transcript.pyannote[641].start |
5722.25909375 |
transcript.pyannote[641].end |
5722.27596875 |
transcript.pyannote[642].speaker |
SPEAKER_15 |
transcript.pyannote[642].start |
5722.27596875 |
transcript.pyannote[642].end |
5722.51221875 |
transcript.pyannote[643].speaker |
SPEAKER_18 |
transcript.pyannote[643].start |
5722.51221875 |
transcript.pyannote[643].end |
5722.54596875 |
transcript.pyannote[644].speaker |
SPEAKER_15 |
transcript.pyannote[644].start |
5722.54596875 |
transcript.pyannote[644].end |
5722.93409375 |
transcript.pyannote[645].speaker |
SPEAKER_18 |
transcript.pyannote[645].start |
5722.93409375 |
transcript.pyannote[645].end |
5723.96346875 |
transcript.pyannote[646].speaker |
SPEAKER_15 |
transcript.pyannote[646].start |
5723.96346875 |
transcript.pyannote[646].end |
5724.03096875 |
transcript.pyannote[647].speaker |
SPEAKER_18 |
transcript.pyannote[647].start |
5724.03096875 |
transcript.pyannote[647].end |
5740.24784375 |
transcript.pyannote[648].speaker |
SPEAKER_18 |
transcript.pyannote[648].start |
5740.82159375 |
transcript.pyannote[648].end |
5759.16471875 |
transcript.pyannote[649].speaker |
SPEAKER_18 |
transcript.pyannote[649].start |
5759.68784375 |
transcript.pyannote[649].end |
5764.53096875 |
transcript.pyannote[650].speaker |
SPEAKER_18 |
transcript.pyannote[650].start |
5765.12159375 |
transcript.pyannote[650].end |
5767.63596875 |
transcript.pyannote[651].speaker |
SPEAKER_18 |
transcript.pyannote[651].start |
5767.97346875 |
transcript.pyannote[651].end |
5783.09346875 |
transcript.pyannote[652].speaker |
SPEAKER_15 |
transcript.pyannote[652].start |
5784.03846875 |
transcript.pyannote[652].end |
5788.64534375 |
transcript.pyannote[653].speaker |
SPEAKER_15 |
transcript.pyannote[653].start |
5788.91534375 |
transcript.pyannote[653].end |
5790.01221875 |
transcript.pyannote[654].speaker |
SPEAKER_15 |
transcript.pyannote[654].start |
5790.34971875 |
transcript.pyannote[654].end |
5790.82221875 |
transcript.pyannote[655].speaker |
SPEAKER_15 |
transcript.pyannote[655].start |
5791.26096875 |
transcript.pyannote[655].end |
5798.39909375 |
transcript.pyannote[656].speaker |
SPEAKER_18 |
transcript.pyannote[656].start |
5796.64409375 |
transcript.pyannote[656].end |
5844.04596875 |
transcript.pyannote[657].speaker |
SPEAKER_15 |
transcript.pyannote[657].start |
5798.56784375 |
transcript.pyannote[657].end |
5798.66909375 |
transcript.pyannote[658].speaker |
SPEAKER_18 |
transcript.pyannote[658].start |
5844.55221875 |
transcript.pyannote[658].end |
5847.80909375 |
transcript.pyannote[659].speaker |
SPEAKER_18 |
transcript.pyannote[659].start |
5848.48409375 |
transcript.pyannote[659].end |
5862.00096875 |
transcript.pyannote[660].speaker |
SPEAKER_18 |
transcript.pyannote[660].start |
5862.82784375 |
transcript.pyannote[660].end |
5891.78534375 |
transcript.pyannote[661].speaker |
SPEAKER_18 |
transcript.pyannote[661].start |
5892.46034375 |
transcript.pyannote[661].end |
5895.97034375 |
transcript.pyannote[662].speaker |
SPEAKER_15 |
transcript.pyannote[662].start |
5895.97034375 |
transcript.pyannote[662].end |
5917.90784375 |
transcript.pyannote[663].speaker |
SPEAKER_15 |
transcript.pyannote[663].start |
5918.27909375 |
transcript.pyannote[663].end |
5924.59034375 |
transcript.pyannote[664].speaker |
SPEAKER_15 |
transcript.pyannote[664].start |
5924.97846875 |
transcript.pyannote[664].end |
5940.06471875 |
transcript.pyannote[665].speaker |
SPEAKER_18 |
transcript.pyannote[665].start |
5938.81596875 |
transcript.pyannote[665].end |
5939.17034375 |
transcript.pyannote[666].speaker |
SPEAKER_18 |
transcript.pyannote[666].start |
5940.06471875 |
transcript.pyannote[666].end |
5951.53971875 |
transcript.pyannote[667].speaker |
SPEAKER_00 |
transcript.pyannote[667].start |
5947.81034375 |
transcript.pyannote[667].end |
5948.13096875 |
transcript.pyannote[668].speaker |
SPEAKER_23 |
transcript.pyannote[668].start |
5948.13096875 |
transcript.pyannote[668].end |
5948.19846875 |
transcript.pyannote[669].speaker |
SPEAKER_00 |
transcript.pyannote[669].start |
5948.19846875 |
transcript.pyannote[669].end |
5948.26596875 |
transcript.pyannote[670].speaker |
SPEAKER_18 |
transcript.pyannote[670].start |
5951.69159375 |
transcript.pyannote[670].end |
5961.73221875 |
transcript.pyannote[671].speaker |
SPEAKER_18 |
transcript.pyannote[671].start |
5962.00221875 |
transcript.pyannote[671].end |
5966.08596875 |
transcript.pyannote[672].speaker |
SPEAKER_19 |
transcript.pyannote[672].start |
5964.87096875 |
transcript.pyannote[672].end |
5964.88784375 |
transcript.pyannote[673].speaker |
SPEAKER_20 |
transcript.pyannote[673].start |
5964.88784375 |
transcript.pyannote[673].end |
5964.90471875 |
transcript.pyannote[674].speaker |
SPEAKER_19 |
transcript.pyannote[674].start |
5964.90471875 |
transcript.pyannote[674].end |
5964.97221875 |
transcript.pyannote[675].speaker |
SPEAKER_18 |
transcript.pyannote[675].start |
5966.37284375 |
transcript.pyannote[675].end |
5977.13909375 |
transcript.pyannote[676].speaker |
SPEAKER_20 |
transcript.pyannote[676].start |
5975.38409375 |
transcript.pyannote[676].end |
5975.80596875 |
transcript.pyannote[677].speaker |
SPEAKER_00 |
transcript.pyannote[677].start |
5975.80596875 |
transcript.pyannote[677].end |
5975.82284375 |
transcript.pyannote[678].speaker |
SPEAKER_18 |
transcript.pyannote[678].start |
5977.81409375 |
transcript.pyannote[678].end |
5979.06284375 |
transcript.pyannote[679].speaker |
SPEAKER_18 |
transcript.pyannote[679].start |
5979.46784375 |
transcript.pyannote[679].end |
5982.16784375 |
transcript.pyannote[680].speaker |
SPEAKER_18 |
transcript.pyannote[680].start |
5982.80909375 |
transcript.pyannote[680].end |
5984.91846875 |
transcript.pyannote[681].speaker |
SPEAKER_18 |
transcript.pyannote[681].start |
5985.13784375 |
transcript.pyannote[681].end |
6019.64721875 |
transcript.pyannote[682].speaker |
SPEAKER_20 |
transcript.pyannote[682].start |
6019.25909375 |
transcript.pyannote[682].end |
6020.08596875 |
transcript.pyannote[683].speaker |
SPEAKER_18 |
transcript.pyannote[683].start |
6020.55846875 |
transcript.pyannote[683].end |
6023.00534375 |
transcript.pyannote[684].speaker |
SPEAKER_18 |
transcript.pyannote[684].start |
6023.32596875 |
transcript.pyannote[684].end |
6028.23659375 |
transcript.pyannote[685].speaker |
SPEAKER_18 |
transcript.pyannote[685].start |
6028.50659375 |
transcript.pyannote[685].end |
6031.88159375 |
transcript.pyannote[686].speaker |
SPEAKER_18 |
transcript.pyannote[686].start |
6031.98284375 |
transcript.pyannote[686].end |
6041.56784375 |
transcript.pyannote[687].speaker |
SPEAKER_18 |
transcript.pyannote[687].start |
6042.07409375 |
transcript.pyannote[687].end |
6048.79034375 |
transcript.pyannote[688].speaker |
SPEAKER_18 |
transcript.pyannote[688].start |
6048.90846875 |
transcript.pyannote[688].end |
6054.61221875 |
transcript.pyannote[689].speaker |
SPEAKER_18 |
transcript.pyannote[689].start |
6054.88221875 |
transcript.pyannote[689].end |
6072.58409375 |
transcript.pyannote[690].speaker |
SPEAKER_18 |
transcript.pyannote[690].start |
6072.70221875 |
transcript.pyannote[690].end |
6079.48596875 |
transcript.pyannote[691].speaker |
SPEAKER_15 |
transcript.pyannote[691].start |
6079.95846875 |
transcript.pyannote[691].end |
6080.92034375 |
transcript.pyannote[692].speaker |
SPEAKER_15 |
transcript.pyannote[692].start |
6081.37596875 |
transcript.pyannote[692].end |
6081.42659375 |
transcript.pyannote[693].speaker |
SPEAKER_18 |
transcript.pyannote[693].start |
6081.42659375 |
transcript.pyannote[693].end |
6081.56159375 |
transcript.pyannote[694].speaker |
SPEAKER_15 |
transcript.pyannote[694].start |
6081.56159375 |
transcript.pyannote[694].end |
6081.59534375 |
transcript.pyannote[695].speaker |
SPEAKER_18 |
transcript.pyannote[695].start |
6081.59534375 |
transcript.pyannote[695].end |
6081.62909375 |
transcript.pyannote[696].speaker |
SPEAKER_15 |
transcript.pyannote[696].start |
6081.62909375 |
transcript.pyannote[696].end |
6081.64596875 |
transcript.pyannote[697].speaker |
SPEAKER_18 |
transcript.pyannote[697].start |
6082.06784375 |
transcript.pyannote[697].end |
6086.59034375 |
transcript.pyannote[698].speaker |
SPEAKER_18 |
transcript.pyannote[698].start |
6086.65784375 |
transcript.pyannote[698].end |
6099.87096875 |
transcript.pyannote[699].speaker |
SPEAKER_18 |
transcript.pyannote[699].start |
6100.36034375 |
transcript.pyannote[699].end |
6108.37596875 |
transcript.pyannote[700].speaker |
SPEAKER_18 |
transcript.pyannote[700].start |
6108.57846875 |
transcript.pyannote[700].end |
6109.62471875 |
transcript.pyannote[701].speaker |
SPEAKER_18 |
transcript.pyannote[701].start |
6109.87784375 |
transcript.pyannote[701].end |
6138.91971875 |
transcript.pyannote[702].speaker |
SPEAKER_15 |
transcript.pyannote[702].start |
6139.18971875 |
transcript.pyannote[702].end |
6139.51034375 |
transcript.pyannote[703].speaker |
SPEAKER_18 |
transcript.pyannote[703].start |
6139.51034375 |
transcript.pyannote[703].end |
6141.51846875 |
transcript.pyannote[704].speaker |
SPEAKER_15 |
transcript.pyannote[704].start |
6139.54409375 |
transcript.pyannote[704].end |
6140.37096875 |
transcript.pyannote[705].speaker |
SPEAKER_15 |
transcript.pyannote[705].start |
6141.51846875 |
transcript.pyannote[705].end |
6147.40784375 |
transcript.pyannote[706].speaker |
SPEAKER_18 |
transcript.pyannote[706].start |
6146.78346875 |
transcript.pyannote[706].end |
6149.39909375 |
transcript.pyannote[707].speaker |
SPEAKER_15 |
transcript.pyannote[707].start |
6148.65659375 |
transcript.pyannote[707].end |
6149.38221875 |
transcript.pyannote[708].speaker |
SPEAKER_15 |
transcript.pyannote[708].start |
6149.39909375 |
transcript.pyannote[708].end |
6149.43284375 |
transcript.pyannote[709].speaker |
SPEAKER_18 |
transcript.pyannote[709].start |
6149.43284375 |
transcript.pyannote[709].end |
6149.82096875 |
transcript.pyannote[710].speaker |
SPEAKER_15 |
transcript.pyannote[710].start |
6149.82096875 |
transcript.pyannote[710].end |
6149.85471875 |
transcript.pyannote[711].speaker |
SPEAKER_15 |
transcript.pyannote[711].start |
6150.39471875 |
transcript.pyannote[711].end |
6151.10346875 |
transcript.pyannote[712].speaker |
SPEAKER_03 |
transcript.pyannote[712].start |
6151.52534375 |
transcript.pyannote[712].end |
6152.33534375 |
transcript.pyannote[713].speaker |
SPEAKER_03 |
transcript.pyannote[713].start |
6156.08159375 |
transcript.pyannote[713].end |
6157.78596875 |
transcript.pyannote[714].speaker |
SPEAKER_03 |
transcript.pyannote[714].start |
6158.12346875 |
transcript.pyannote[714].end |
6161.90346875 |
transcript.pyannote[715].speaker |
SPEAKER_03 |
transcript.pyannote[715].start |
6162.37596875 |
transcript.pyannote[715].end |
6167.59034375 |
transcript.pyannote[716].speaker |
SPEAKER_03 |
transcript.pyannote[716].start |
6167.74221875 |
transcript.pyannote[716].end |
6173.81721875 |
transcript.pyannote[717].speaker |
SPEAKER_03 |
transcript.pyannote[717].start |
6174.12096875 |
transcript.pyannote[717].end |
6176.23034375 |
transcript.pyannote[718].speaker |
SPEAKER_03 |
transcript.pyannote[718].start |
6176.66909375 |
transcript.pyannote[718].end |
6181.57971875 |
transcript.pyannote[719].speaker |
SPEAKER_03 |
transcript.pyannote[719].start |
6181.93409375 |
transcript.pyannote[719].end |
6185.35971875 |
transcript.pyannote[720].speaker |
SPEAKER_03 |
transcript.pyannote[720].start |
6185.79846875 |
transcript.pyannote[720].end |
6188.39721875 |
transcript.pyannote[721].speaker |
SPEAKER_03 |
transcript.pyannote[721].start |
6188.43096875 |
transcript.pyannote[721].end |
6189.93284375 |
transcript.pyannote[722].speaker |
SPEAKER_03 |
transcript.pyannote[722].start |
6190.16909375 |
transcript.pyannote[722].end |
6190.48971875 |
transcript.pyannote[723].speaker |
SPEAKER_03 |
transcript.pyannote[723].start |
6191.21534375 |
transcript.pyannote[723].end |
6192.02534375 |
transcript.pyannote[724].speaker |
SPEAKER_03 |
transcript.pyannote[724].start |
6192.24471875 |
transcript.pyannote[724].end |
6192.68346875 |
transcript.pyannote[725].speaker |
SPEAKER_03 |
transcript.pyannote[725].start |
6193.08846875 |
transcript.pyannote[725].end |
6195.88971875 |
transcript.pyannote[726].speaker |
SPEAKER_23 |
transcript.pyannote[726].start |
6207.22971875 |
transcript.pyannote[726].end |
6209.79471875 |
transcript.pyannote[727].speaker |
SPEAKER_03 |
transcript.pyannote[727].start |
6210.38534375 |
transcript.pyannote[727].end |
6211.71846875 |
transcript.pyannote[728].speaker |
SPEAKER_23 |
transcript.pyannote[728].start |
6217.82721875 |
transcript.pyannote[728].end |
6218.55284375 |
transcript.pyannote[729].speaker |
SPEAKER_23 |
transcript.pyannote[729].start |
6219.63284375 |
transcript.pyannote[729].end |
6220.22346875 |
transcript.pyannote[730].speaker |
SPEAKER_23 |
transcript.pyannote[730].start |
6220.54409375 |
transcript.pyannote[730].end |
6222.41721875 |
transcript.pyannote[731].speaker |
SPEAKER_23 |
transcript.pyannote[731].start |
6223.54784375 |
transcript.pyannote[731].end |
6224.54346875 |
transcript.pyannote[732].speaker |
SPEAKER_23 |
transcript.pyannote[732].start |
6224.81346875 |
transcript.pyannote[732].end |
6225.75846875 |
transcript.pyannote[733].speaker |
SPEAKER_23 |
transcript.pyannote[733].start |
6226.50096875 |
transcript.pyannote[733].end |
6228.71159375 |
transcript.pyannote[734].speaker |
SPEAKER_23 |
transcript.pyannote[734].start |
6229.06596875 |
transcript.pyannote[734].end |
6229.92659375 |
transcript.pyannote[735].speaker |
SPEAKER_23 |
transcript.pyannote[735].start |
6230.66909375 |
transcript.pyannote[735].end |
6231.73221875 |
transcript.pyannote[736].speaker |
SPEAKER_23 |
transcript.pyannote[736].start |
6231.98534375 |
transcript.pyannote[736].end |
6233.18346875 |
transcript.pyannote[737].speaker |
SPEAKER_23 |
transcript.pyannote[737].start |
6233.79096875 |
transcript.pyannote[737].end |
6234.83721875 |
transcript.pyannote[738].speaker |
SPEAKER_23 |
transcript.pyannote[738].start |
6235.64721875 |
transcript.pyannote[738].end |
6237.28409375 |
transcript.pyannote[739].speaker |
SPEAKER_23 |
transcript.pyannote[739].start |
6237.72284375 |
transcript.pyannote[739].end |
6238.02659375 |
transcript.pyannote[740].speaker |
SPEAKER_23 |
transcript.pyannote[740].start |
6238.51596875 |
transcript.pyannote[740].end |
6240.77721875 |
transcript.pyannote[741].speaker |
SPEAKER_23 |
transcript.pyannote[741].start |
6241.13159375 |
transcript.pyannote[741].end |
6243.62909375 |
transcript.pyannote[742].speaker |
SPEAKER_23 |
transcript.pyannote[742].start |
6244.84409375 |
transcript.pyannote[742].end |
6257.29784375 |
transcript.pyannote[743].speaker |
SPEAKER_23 |
transcript.pyannote[743].start |
6257.95596875 |
transcript.pyannote[743].end |
6261.04409375 |
transcript.pyannote[744].speaker |
SPEAKER_23 |
transcript.pyannote[744].start |
6261.46596875 |
transcript.pyannote[744].end |
6267.03471875 |
transcript.pyannote[745].speaker |
SPEAKER_23 |
transcript.pyannote[745].start |
6268.40159375 |
transcript.pyannote[745].end |
6270.67971875 |
transcript.pyannote[746].speaker |
SPEAKER_23 |
transcript.pyannote[746].start |
6271.37159375 |
transcript.pyannote[746].end |
6271.65846875 |
transcript.pyannote[747].speaker |
SPEAKER_23 |
transcript.pyannote[747].start |
6272.28284375 |
transcript.pyannote[747].end |
6275.11784375 |
transcript.pyannote[748].speaker |
SPEAKER_23 |
transcript.pyannote[748].start |
6275.32034375 |
transcript.pyannote[748].end |
6278.50971875 |
transcript.pyannote[749].speaker |
SPEAKER_23 |
transcript.pyannote[749].start |
6278.94846875 |
transcript.pyannote[749].end |
6281.00721875 |
transcript.pyannote[750].speaker |
SPEAKER_23 |
transcript.pyannote[750].start |
6281.44596875 |
transcript.pyannote[750].end |
6286.28909375 |
transcript.pyannote[751].speaker |
SPEAKER_23 |
transcript.pyannote[751].start |
6286.72784375 |
transcript.pyannote[751].end |
6293.49471875 |
transcript.pyannote[752].speaker |
SPEAKER_23 |
transcript.pyannote[752].start |
6293.57909375 |
transcript.pyannote[752].end |
6297.35909375 |
transcript.pyannote[753].speaker |
SPEAKER_23 |
transcript.pyannote[753].start |
6298.05096875 |
transcript.pyannote[753].end |
6298.96221875 |
transcript.pyannote[754].speaker |
SPEAKER_23 |
transcript.pyannote[754].start |
6299.35034375 |
transcript.pyannote[754].end |
6300.53159375 |
transcript.pyannote[755].speaker |
SPEAKER_23 |
transcript.pyannote[755].start |
6300.95346875 |
transcript.pyannote[755].end |
6305.84721875 |
transcript.pyannote[756].speaker |
SPEAKER_00 |
transcript.pyannote[756].start |
6305.22284375 |
transcript.pyannote[756].end |
6305.69534375 |
transcript.pyannote[757].speaker |
SPEAKER_23 |
transcript.pyannote[757].start |
6306.65721875 |
transcript.pyannote[757].end |
6313.69409375 |
transcript.pyannote[758].speaker |
SPEAKER_23 |
transcript.pyannote[758].start |
6314.43659375 |
transcript.pyannote[758].end |
6316.69784375 |
transcript.pyannote[759].speaker |
SPEAKER_23 |
transcript.pyannote[759].start |
6317.30534375 |
transcript.pyannote[759].end |
6318.70596875 |
transcript.pyannote[760].speaker |
SPEAKER_23 |
transcript.pyannote[760].start |
6319.09409375 |
transcript.pyannote[760].end |
6320.79846875 |
transcript.pyannote[761].speaker |
SPEAKER_23 |
transcript.pyannote[761].start |
6321.92909375 |
transcript.pyannote[761].end |
6322.31721875 |
transcript.pyannote[762].speaker |
SPEAKER_23 |
transcript.pyannote[762].start |
6323.05971875 |
transcript.pyannote[762].end |
6324.03846875 |
transcript.pyannote[763].speaker |
SPEAKER_23 |
transcript.pyannote[763].start |
6324.59534375 |
transcript.pyannote[763].end |
6326.68784375 |
transcript.pyannote[764].speaker |
SPEAKER_23 |
transcript.pyannote[764].start |
6328.49346875 |
transcript.pyannote[764].end |
6329.25284375 |
transcript.pyannote[765].speaker |
SPEAKER_23 |
transcript.pyannote[765].start |
6330.19784375 |
transcript.pyannote[765].end |
6333.96096875 |
transcript.pyannote[766].speaker |
SPEAKER_23 |
transcript.pyannote[766].start |
6334.26471875 |
transcript.pyannote[766].end |
6337.99409375 |
transcript.pyannote[767].speaker |
SPEAKER_23 |
transcript.pyannote[767].start |
6338.43284375 |
transcript.pyannote[767].end |
6339.31034375 |
transcript.pyannote[768].speaker |
SPEAKER_23 |
transcript.pyannote[768].start |
6340.84596875 |
transcript.pyannote[768].end |
6341.99346875 |
transcript.pyannote[769].speaker |
SPEAKER_23 |
transcript.pyannote[769].start |
6342.92159375 |
transcript.pyannote[769].end |
6343.30971875 |
transcript.pyannote[770].speaker |
SPEAKER_23 |
transcript.pyannote[770].start |
6343.93409375 |
transcript.pyannote[770].end |
6346.97159375 |
transcript.pyannote[771].speaker |
SPEAKER_23 |
transcript.pyannote[771].start |
6347.51159375 |
transcript.pyannote[771].end |
6351.12284375 |
transcript.pyannote[772].speaker |
SPEAKER_20 |
transcript.pyannote[772].start |
6351.12284375 |
transcript.pyannote[772].end |
6351.49409375 |
transcript.pyannote[773].speaker |
SPEAKER_23 |
transcript.pyannote[773].start |
6351.49409375 |
transcript.pyannote[773].end |
6353.80596875 |
transcript.pyannote[774].speaker |
SPEAKER_23 |
transcript.pyannote[774].start |
6354.75096875 |
transcript.pyannote[774].end |
6355.98284375 |
transcript.pyannote[775].speaker |
SPEAKER_23 |
transcript.pyannote[775].start |
6356.74221875 |
transcript.pyannote[775].end |
6358.02471875 |
transcript.pyannote[776].speaker |
SPEAKER_23 |
transcript.pyannote[776].start |
6358.32846875 |
transcript.pyannote[776].end |
6360.47159375 |
transcript.pyannote[777].speaker |
SPEAKER_23 |
transcript.pyannote[777].start |
6361.11284375 |
transcript.pyannote[777].end |
6369.75284375 |
transcript.pyannote[778].speaker |
SPEAKER_23 |
transcript.pyannote[778].start |
6370.44471875 |
transcript.pyannote[778].end |
6371.72721875 |
transcript.pyannote[779].speaker |
SPEAKER_23 |
transcript.pyannote[779].start |
6371.87909375 |
transcript.pyannote[779].end |
6374.68034375 |
transcript.pyannote[780].speaker |
SPEAKER_23 |
transcript.pyannote[780].start |
6374.96721875 |
transcript.pyannote[780].end |
6377.05971875 |
transcript.pyannote[781].speaker |
SPEAKER_23 |
transcript.pyannote[781].start |
6377.54909375 |
transcript.pyannote[781].end |
6381.71721875 |
transcript.pyannote[782].speaker |
SPEAKER_23 |
transcript.pyannote[782].start |
6382.25721875 |
transcript.pyannote[782].end |
6388.45034375 |
transcript.pyannote[783].speaker |
SPEAKER_23 |
transcript.pyannote[783].start |
6389.05784375 |
transcript.pyannote[783].end |
6389.81721875 |
transcript.pyannote[784].speaker |
SPEAKER_23 |
transcript.pyannote[784].start |
6390.79596875 |
transcript.pyannote[784].end |
6392.06159375 |
transcript.pyannote[785].speaker |
SPEAKER_23 |
transcript.pyannote[785].start |
6392.71971875 |
transcript.pyannote[785].end |
6394.49159375 |
transcript.pyannote[786].speaker |
SPEAKER_23 |
transcript.pyannote[786].start |
6395.01471875 |
transcript.pyannote[786].end |
6396.28034375 |
transcript.pyannote[787].speaker |
SPEAKER_23 |
transcript.pyannote[787].start |
6396.88784375 |
transcript.pyannote[787].end |
6401.59596875 |
transcript.pyannote[788].speaker |
SPEAKER_23 |
transcript.pyannote[788].start |
6402.76034375 |
transcript.pyannote[788].end |
6406.92846875 |
transcript.pyannote[789].speaker |
SPEAKER_23 |
transcript.pyannote[789].start |
6407.46846875 |
transcript.pyannote[789].end |
6409.17284375 |
transcript.pyannote[790].speaker |
SPEAKER_23 |
transcript.pyannote[790].start |
6410.06721875 |
transcript.pyannote[790].end |
6413.54346875 |
transcript.pyannote[791].speaker |
SPEAKER_23 |
transcript.pyannote[791].start |
6414.20159375 |
transcript.pyannote[791].end |
6415.92284375 |
transcript.pyannote[792].speaker |
SPEAKER_23 |
transcript.pyannote[792].start |
6416.24346875 |
transcript.pyannote[792].end |
6418.58909375 |
transcript.pyannote[793].speaker |
SPEAKER_23 |
transcript.pyannote[793].start |
6419.12909375 |
transcript.pyannote[793].end |
6420.66471875 |
transcript.pyannote[794].speaker |
SPEAKER_23 |
transcript.pyannote[794].start |
6421.32284375 |
transcript.pyannote[794].end |
6423.12846875 |
transcript.pyannote[795].speaker |
SPEAKER_23 |
transcript.pyannote[795].start |
6423.14534375 |
transcript.pyannote[795].end |
6424.03971875 |
transcript.pyannote[796].speaker |
SPEAKER_23 |
transcript.pyannote[796].start |
6424.51221875 |
transcript.pyannote[796].end |
6429.03471875 |
transcript.pyannote[797].speaker |
SPEAKER_23 |
transcript.pyannote[797].start |
6429.74346875 |
transcript.pyannote[797].end |
6432.32534375 |
transcript.pyannote[798].speaker |
SPEAKER_23 |
transcript.pyannote[798].start |
6433.13534375 |
transcript.pyannote[798].end |
6433.74284375 |
transcript.pyannote[799].speaker |
SPEAKER_23 |
transcript.pyannote[799].start |
6434.19846875 |
transcript.pyannote[799].end |
6436.03784375 |
transcript.pyannote[800].speaker |
SPEAKER_23 |
transcript.pyannote[800].start |
6436.76346875 |
transcript.pyannote[800].end |
6437.43846875 |
transcript.pyannote[801].speaker |
SPEAKER_23 |
transcript.pyannote[801].start |
6437.75909375 |
transcript.pyannote[801].end |
6439.09221875 |
transcript.pyannote[802].speaker |
SPEAKER_23 |
transcript.pyannote[802].start |
6439.68284375 |
transcript.pyannote[802].end |
6441.80909375 |
transcript.pyannote[803].speaker |
SPEAKER_23 |
transcript.pyannote[803].start |
6443.09159375 |
transcript.pyannote[803].end |
6444.05346875 |
transcript.pyannote[804].speaker |
SPEAKER_23 |
transcript.pyannote[804].start |
6444.54284375 |
transcript.pyannote[804].end |
6449.75721875 |
transcript.pyannote[805].speaker |
SPEAKER_23 |
transcript.pyannote[805].start |
6450.14534375 |
transcript.pyannote[805].end |
6453.52034375 |
transcript.pyannote[806].speaker |
SPEAKER_23 |
transcript.pyannote[806].start |
6454.68471875 |
transcript.pyannote[806].end |
6460.99596875 |
transcript.pyannote[807].speaker |
SPEAKER_23 |
transcript.pyannote[807].start |
6461.09721875 |
transcript.pyannote[807].end |
6462.31221875 |
transcript.pyannote[808].speaker |
SPEAKER_23 |
transcript.pyannote[808].start |
6462.86909375 |
transcript.pyannote[808].end |
6464.69159375 |
transcript.pyannote[809].speaker |
SPEAKER_23 |
transcript.pyannote[809].start |
6465.13034375 |
transcript.pyannote[809].end |
6467.49284375 |
transcript.pyannote[810].speaker |
SPEAKER_23 |
transcript.pyannote[810].start |
6468.31971875 |
transcript.pyannote[810].end |
6468.96096875 |
transcript.pyannote[811].speaker |
SPEAKER_23 |
transcript.pyannote[811].start |
6469.46721875 |
transcript.pyannote[811].end |
6474.58034375 |
transcript.pyannote[812].speaker |
SPEAKER_23 |
transcript.pyannote[812].start |
6475.32284375 |
transcript.pyannote[812].end |
6476.80784375 |
transcript.pyannote[813].speaker |
SPEAKER_23 |
transcript.pyannote[813].start |
6477.95534375 |
transcript.pyannote[813].end |
6478.22534375 |
transcript.pyannote[814].speaker |
SPEAKER_23 |
transcript.pyannote[814].start |
6479.33909375 |
transcript.pyannote[814].end |
6481.04346875 |
transcript.pyannote[815].speaker |
SPEAKER_23 |
transcript.pyannote[815].start |
6481.78596875 |
transcript.pyannote[815].end |
6486.35909375 |
transcript.pyannote[816].speaker |
SPEAKER_23 |
transcript.pyannote[816].start |
6486.88221875 |
transcript.pyannote[816].end |
6487.15221875 |
transcript.pyannote[817].speaker |
SPEAKER_23 |
transcript.pyannote[817].start |
6487.70909375 |
transcript.pyannote[817].end |
6490.56096875 |
transcript.pyannote[818].speaker |
SPEAKER_23 |
transcript.pyannote[818].start |
6491.06721875 |
transcript.pyannote[818].end |
6491.94471875 |
transcript.pyannote[819].speaker |
SPEAKER_23 |
transcript.pyannote[819].start |
6492.73784375 |
transcript.pyannote[819].end |
6495.53909375 |
transcript.pyannote[820].speaker |
SPEAKER_23 |
transcript.pyannote[820].start |
6496.18034375 |
transcript.pyannote[820].end |
6497.12534375 |
transcript.pyannote[821].speaker |
SPEAKER_23 |
transcript.pyannote[821].start |
6497.37846875 |
transcript.pyannote[821].end |
6505.22534375 |
transcript.pyannote[822].speaker |
SPEAKER_23 |
transcript.pyannote[822].start |
6505.83284375 |
transcript.pyannote[822].end |
6507.82409375 |
transcript.pyannote[823].speaker |
SPEAKER_23 |
transcript.pyannote[823].start |
6507.99284375 |
transcript.pyannote[823].end |
6509.19096875 |
transcript.pyannote[824].speaker |
SPEAKER_23 |
transcript.pyannote[824].start |
6509.64659375 |
transcript.pyannote[824].end |
6511.65471875 |
transcript.pyannote[825].speaker |
SPEAKER_23 |
transcript.pyannote[825].start |
6512.07659375 |
transcript.pyannote[825].end |
6515.67096875 |
transcript.pyannote[826].speaker |
SPEAKER_23 |
transcript.pyannote[826].start |
6516.09284375 |
transcript.pyannote[826].end |
6520.75034375 |
transcript.pyannote[827].speaker |
SPEAKER_23 |
transcript.pyannote[827].start |
6521.42534375 |
transcript.pyannote[827].end |
6527.58471875 |
transcript.pyannote[828].speaker |
SPEAKER_23 |
transcript.pyannote[828].start |
6527.78721875 |
transcript.pyannote[828].end |
6528.24284375 |
transcript.pyannote[829].speaker |
SPEAKER_23 |
transcript.pyannote[829].start |
6528.47909375 |
transcript.pyannote[829].end |
6535.17846875 |
transcript.pyannote[830].speaker |
SPEAKER_00 |
transcript.pyannote[830].start |
6534.72284375 |
transcript.pyannote[830].end |
6535.02659375 |
transcript.pyannote[831].speaker |
SPEAKER_23 |
transcript.pyannote[831].start |
6535.63409375 |
transcript.pyannote[831].end |
6540.73034375 |
transcript.pyannote[832].speaker |
SPEAKER_23 |
transcript.pyannote[832].start |
6541.47284375 |
transcript.pyannote[832].end |
6543.59909375 |
transcript.pyannote[833].speaker |
SPEAKER_23 |
transcript.pyannote[833].start |
6543.63284375 |
transcript.pyannote[833].end |
6544.61159375 |
transcript.pyannote[834].speaker |
SPEAKER_23 |
transcript.pyannote[834].start |
6545.35409375 |
transcript.pyannote[834].end |
6546.34971875 |
transcript.pyannote[835].speaker |
SPEAKER_23 |
transcript.pyannote[835].start |
6546.60284375 |
transcript.pyannote[835].end |
6548.42534375 |
transcript.pyannote[836].speaker |
SPEAKER_23 |
transcript.pyannote[836].start |
6548.94846875 |
transcript.pyannote[836].end |
6551.44596875 |
transcript.pyannote[837].speaker |
SPEAKER_23 |
transcript.pyannote[837].start |
6552.45846875 |
transcript.pyannote[837].end |
6552.77909375 |
transcript.pyannote[838].speaker |
SPEAKER_23 |
transcript.pyannote[838].start |
6552.79596875 |
transcript.pyannote[838].end |
6555.98534375 |
transcript.pyannote[839].speaker |
SPEAKER_23 |
transcript.pyannote[839].start |
6557.14971875 |
transcript.pyannote[839].end |
6558.44909375 |
transcript.pyannote[840].speaker |
SPEAKER_23 |
transcript.pyannote[840].start |
6559.12409375 |
transcript.pyannote[840].end |
6559.51221875 |
transcript.pyannote[841].speaker |
SPEAKER_23 |
transcript.pyannote[841].start |
6561.23346875 |
transcript.pyannote[841].end |
6564.13596875 |
transcript.pyannote[842].speaker |
SPEAKER_23 |
transcript.pyannote[842].start |
6564.18659375 |
transcript.pyannote[842].end |
6565.90784375 |
transcript.pyannote[843].speaker |
SPEAKER_23 |
transcript.pyannote[843].start |
6566.93721875 |
transcript.pyannote[843].end |
6568.82721875 |
transcript.pyannote[844].speaker |
SPEAKER_23 |
transcript.pyannote[844].start |
6569.36721875 |
transcript.pyannote[844].end |
6573.53534375 |
transcript.pyannote[845].speaker |
SPEAKER_23 |
transcript.pyannote[845].start |
6574.09221875 |
transcript.pyannote[845].end |
6575.99909375 |
transcript.pyannote[846].speaker |
SPEAKER_23 |
transcript.pyannote[846].start |
6576.55596875 |
transcript.pyannote[846].end |
6578.29409375 |
transcript.pyannote[847].speaker |
SPEAKER_23 |
transcript.pyannote[847].start |
6578.98596875 |
transcript.pyannote[847].end |
6580.87596875 |
transcript.pyannote[848].speaker |
SPEAKER_23 |
transcript.pyannote[848].start |
6581.43284375 |
transcript.pyannote[848].end |
6581.61846875 |
transcript.pyannote[849].speaker |
SPEAKER_23 |
transcript.pyannote[849].start |
6581.82096875 |
transcript.pyannote[849].end |
6584.35221875 |
transcript.pyannote[850].speaker |
SPEAKER_20 |
transcript.pyannote[850].start |
6584.35221875 |
transcript.pyannote[850].end |
6584.63909375 |
transcript.pyannote[851].speaker |
SPEAKER_23 |
transcript.pyannote[851].start |
6584.63909375 |
transcript.pyannote[851].end |
6588.67221875 |
transcript.pyannote[852].speaker |
SPEAKER_23 |
transcript.pyannote[852].start |
6589.34721875 |
transcript.pyannote[852].end |
6590.66346875 |
transcript.pyannote[853].speaker |
SPEAKER_23 |
transcript.pyannote[853].start |
6590.96721875 |
transcript.pyannote[853].end |
6591.97971875 |
transcript.pyannote[854].speaker |
SPEAKER_23 |
transcript.pyannote[854].start |
6592.67159375 |
transcript.pyannote[854].end |
6597.04221875 |
transcript.pyannote[855].speaker |
SPEAKER_23 |
transcript.pyannote[855].start |
6597.61596875 |
transcript.pyannote[855].end |
6599.16846875 |
transcript.pyannote[856].speaker |
SPEAKER_23 |
transcript.pyannote[856].start |
6599.80971875 |
transcript.pyannote[856].end |
6607.09971875 |
transcript.pyannote[857].speaker |
SPEAKER_23 |
transcript.pyannote[857].start |
6607.55534375 |
transcript.pyannote[857].end |
6610.40721875 |
transcript.pyannote[858].speaker |
SPEAKER_23 |
transcript.pyannote[858].start |
6611.13284375 |
transcript.pyannote[858].end |
6612.11159375 |
transcript.pyannote[859].speaker |
SPEAKER_23 |
transcript.pyannote[859].start |
6612.26346875 |
transcript.pyannote[859].end |
6623.72159375 |
transcript.pyannote[860].speaker |
SPEAKER_23 |
transcript.pyannote[860].start |
6624.02534375 |
transcript.pyannote[860].end |
6624.93659375 |
transcript.pyannote[861].speaker |
SPEAKER_23 |
transcript.pyannote[861].start |
6625.47659375 |
transcript.pyannote[861].end |
6626.50596875 |
transcript.pyannote[862].speaker |
SPEAKER_23 |
transcript.pyannote[862].start |
6627.50159375 |
transcript.pyannote[862].end |
6633.28971875 |
transcript.pyannote[863].speaker |
SPEAKER_23 |
transcript.pyannote[863].start |
6633.69471875 |
transcript.pyannote[863].end |
6636.54659375 |
transcript.pyannote[864].speaker |
SPEAKER_23 |
transcript.pyannote[864].start |
6637.01909375 |
transcript.pyannote[864].end |
6639.17909375 |
transcript.pyannote[865].speaker |
SPEAKER_23 |
transcript.pyannote[865].start |
6639.63471875 |
transcript.pyannote[865].end |
6640.79909375 |
transcript.pyannote[866].speaker |
SPEAKER_23 |
transcript.pyannote[866].start |
6641.52471875 |
transcript.pyannote[866].end |
6645.00096875 |
transcript.pyannote[867].speaker |
SPEAKER_23 |
transcript.pyannote[867].start |
6645.47346875 |
transcript.pyannote[867].end |
6647.05971875 |
transcript.pyannote[868].speaker |
SPEAKER_23 |
transcript.pyannote[868].start |
6647.17784375 |
transcript.pyannote[868].end |
6649.42221875 |
transcript.pyannote[869].speaker |
SPEAKER_23 |
transcript.pyannote[869].start |
6649.69221875 |
transcript.pyannote[869].end |
6650.09721875 |
transcript.pyannote[870].speaker |
SPEAKER_23 |
transcript.pyannote[870].start |
6650.56971875 |
transcript.pyannote[870].end |
6650.89034375 |
transcript.pyannote[871].speaker |
SPEAKER_23 |
transcript.pyannote[871].start |
6651.75096875 |
transcript.pyannote[871].end |
6652.34159375 |
transcript.pyannote[872].speaker |
SPEAKER_23 |
transcript.pyannote[872].start |
6653.08409375 |
transcript.pyannote[872].end |
6654.60284375 |
transcript.pyannote[873].speaker |
SPEAKER_23 |
transcript.pyannote[873].start |
6655.22721875 |
transcript.pyannote[873].end |
6656.67846875 |
transcript.pyannote[874].speaker |
SPEAKER_23 |
transcript.pyannote[874].start |
6657.43784375 |
transcript.pyannote[874].end |
6659.69909375 |
transcript.pyannote[875].speaker |
SPEAKER_23 |
transcript.pyannote[875].start |
6660.47534375 |
transcript.pyannote[875].end |
6663.58034375 |
transcript.pyannote[876].speaker |
SPEAKER_23 |
transcript.pyannote[876].start |
6664.89659375 |
transcript.pyannote[876].end |
6669.99284375 |
transcript.pyannote[877].speaker |
SPEAKER_23 |
transcript.pyannote[877].start |
6670.61721875 |
transcript.pyannote[877].end |
6674.80221875 |
transcript.pyannote[878].speaker |
SPEAKER_23 |
transcript.pyannote[878].start |
6675.34221875 |
transcript.pyannote[878].end |
6677.01284375 |
transcript.pyannote[879].speaker |
SPEAKER_23 |
transcript.pyannote[879].start |
6677.85659375 |
transcript.pyannote[879].end |
6679.12221875 |
transcript.pyannote[880].speaker |
SPEAKER_23 |
transcript.pyannote[880].start |
6679.67909375 |
transcript.pyannote[880].end |
6680.21909375 |
transcript.pyannote[881].speaker |
SPEAKER_23 |
transcript.pyannote[881].start |
6680.99534375 |
transcript.pyannote[881].end |
6683.47596875 |
transcript.pyannote[882].speaker |
SPEAKER_23 |
transcript.pyannote[882].start |
6684.23534375 |
transcript.pyannote[882].end |
6685.95659375 |
transcript.pyannote[883].speaker |
SPEAKER_23 |
transcript.pyannote[883].start |
6687.12096875 |
transcript.pyannote[883].end |
6688.42034375 |
transcript.pyannote[884].speaker |
SPEAKER_23 |
transcript.pyannote[884].start |
6688.67346875 |
transcript.pyannote[884].end |
6690.15846875 |
transcript.pyannote[885].speaker |
SPEAKER_23 |
transcript.pyannote[885].start |
6691.03596875 |
transcript.pyannote[885].end |
6691.98096875 |
transcript.pyannote[886].speaker |
SPEAKER_23 |
transcript.pyannote[886].start |
6693.04409375 |
transcript.pyannote[886].end |
6694.25909375 |
transcript.pyannote[887].speaker |
SPEAKER_23 |
transcript.pyannote[887].start |
6694.69784375 |
transcript.pyannote[887].end |
6696.04784375 |
transcript.pyannote[888].speaker |
SPEAKER_23 |
transcript.pyannote[888].start |
6696.26721875 |
transcript.pyannote[888].end |
6698.29221875 |
transcript.pyannote[889].speaker |
SPEAKER_23 |
transcript.pyannote[889].start |
6698.56221875 |
transcript.pyannote[889].end |
6699.81096875 |
transcript.pyannote[890].speaker |
SPEAKER_23 |
transcript.pyannote[890].start |
6700.50284375 |
transcript.pyannote[890].end |
6702.69659375 |
transcript.pyannote[891].speaker |
SPEAKER_23 |
transcript.pyannote[891].start |
6702.88221875 |
transcript.pyannote[891].end |
6705.36284375 |
transcript.pyannote[892].speaker |
SPEAKER_23 |
transcript.pyannote[892].start |
6705.51471875 |
transcript.pyannote[892].end |
6707.32034375 |
transcript.pyannote[893].speaker |
SPEAKER_23 |
transcript.pyannote[893].start |
6707.67471875 |
transcript.pyannote[893].end |
6710.10471875 |
transcript.pyannote[894].speaker |
SPEAKER_23 |
transcript.pyannote[894].start |
6710.67846875 |
transcript.pyannote[894].end |
6712.58534375 |
transcript.pyannote[895].speaker |
SPEAKER_23 |
transcript.pyannote[895].start |
6713.78346875 |
transcript.pyannote[895].end |
6714.35721875 |
transcript.pyannote[896].speaker |
SPEAKER_23 |
transcript.pyannote[896].start |
6714.55971875 |
transcript.pyannote[896].end |
6717.15846875 |
transcript.pyannote[897].speaker |
SPEAKER_23 |
transcript.pyannote[897].start |
6717.93471875 |
transcript.pyannote[897].end |
6719.63909375 |
transcript.pyannote[898].speaker |
SPEAKER_23 |
transcript.pyannote[898].start |
6719.84159375 |
transcript.pyannote[898].end |
6721.47846875 |
transcript.pyannote[899].speaker |
SPEAKER_23 |
transcript.pyannote[899].start |
6721.61346875 |
transcript.pyannote[899].end |
6723.38534375 |
transcript.pyannote[900].speaker |
SPEAKER_23 |
transcript.pyannote[900].start |
6723.73971875 |
transcript.pyannote[900].end |
6724.80284375 |
transcript.pyannote[901].speaker |
SPEAKER_23 |
transcript.pyannote[901].start |
6725.20784375 |
transcript.pyannote[901].end |
6726.50721875 |
transcript.pyannote[902].speaker |
SPEAKER_23 |
transcript.pyannote[902].start |
6726.67596875 |
transcript.pyannote[902].end |
6726.87846875 |
transcript.pyannote[903].speaker |
SPEAKER_03 |
transcript.pyannote[903].start |
6729.32534375 |
transcript.pyannote[903].end |
6730.08471875 |
transcript.pyannote[904].speaker |
SPEAKER_03 |
transcript.pyannote[904].start |
6732.83534375 |
transcript.pyannote[904].end |
6735.33284375 |
transcript.pyannote[905].speaker |
SPEAKER_12 |
transcript.pyannote[905].start |
6747.56721875 |
transcript.pyannote[905].end |
6749.30534375 |
transcript.pyannote[906].speaker |
SPEAKER_12 |
transcript.pyannote[906].start |
6749.89596875 |
transcript.pyannote[906].end |
6750.89159375 |
transcript.pyannote[907].speaker |
SPEAKER_12 |
transcript.pyannote[907].start |
6753.49034375 |
transcript.pyannote[907].end |
6773.97659375 |
transcript.pyannote[908].speaker |
SPEAKER_15 |
transcript.pyannote[908].start |
6774.33096875 |
transcript.pyannote[908].end |
6798.36096875 |
transcript.pyannote[909].speaker |
SPEAKER_12 |
transcript.pyannote[909].start |
6794.26034375 |
transcript.pyannote[909].end |
6795.57659375 |
transcript.pyannote[910].speaker |
SPEAKER_12 |
transcript.pyannote[910].start |
6798.36096875 |
transcript.pyannote[910].end |
6822.57659375 |
transcript.pyannote[911].speaker |
SPEAKER_15 |
transcript.pyannote[911].start |
6822.86346875 |
transcript.pyannote[911].end |
6829.14096875 |
transcript.pyannote[912].speaker |
SPEAKER_12 |
transcript.pyannote[912].start |
6829.09034375 |
transcript.pyannote[912].end |
6831.11534375 |
transcript.pyannote[913].speaker |
SPEAKER_12 |
transcript.pyannote[913].start |
6831.65534375 |
transcript.pyannote[913].end |
6833.14034375 |
transcript.pyannote[914].speaker |
SPEAKER_12 |
transcript.pyannote[914].start |
6833.35971875 |
transcript.pyannote[914].end |
6854.28471875 |
transcript.pyannote[915].speaker |
SPEAKER_15 |
transcript.pyannote[915].start |
6854.63909375 |
transcript.pyannote[915].end |
6855.01034375 |
transcript.pyannote[916].speaker |
SPEAKER_15 |
transcript.pyannote[916].start |
6855.16221875 |
transcript.pyannote[916].end |
6858.73971875 |
transcript.pyannote[917].speaker |
SPEAKER_12 |
transcript.pyannote[917].start |
6859.34721875 |
transcript.pyannote[917].end |
6859.54971875 |
transcript.pyannote[918].speaker |
SPEAKER_12 |
transcript.pyannote[918].start |
6859.95471875 |
transcript.pyannote[918].end |
6874.92284375 |
transcript.pyannote[919].speaker |
SPEAKER_12 |
transcript.pyannote[919].start |
6874.99034375 |
transcript.pyannote[919].end |
6902.56409375 |
transcript.pyannote[920].speaker |
SPEAKER_15 |
transcript.pyannote[920].start |
6903.47534375 |
transcript.pyannote[920].end |
6904.33596875 |
transcript.pyannote[921].speaker |
SPEAKER_15 |
transcript.pyannote[921].start |
6904.55534375 |
transcript.pyannote[921].end |
6904.94346875 |
transcript.pyannote[922].speaker |
SPEAKER_12 |
transcript.pyannote[922].start |
6906.10784375 |
transcript.pyannote[922].end |
6913.61721875 |
transcript.pyannote[923].speaker |
SPEAKER_15 |
transcript.pyannote[923].start |
6914.14034375 |
transcript.pyannote[923].end |
6917.70096875 |
transcript.pyannote[924].speaker |
SPEAKER_15 |
transcript.pyannote[924].start |
6918.47721875 |
transcript.pyannote[924].end |
6920.77221875 |
transcript.pyannote[925].speaker |
SPEAKER_15 |
transcript.pyannote[925].start |
6921.22784375 |
transcript.pyannote[925].end |
6922.22346875 |
transcript.pyannote[926].speaker |
SPEAKER_15 |
transcript.pyannote[926].start |
6922.69596875 |
transcript.pyannote[926].end |
6926.91471875 |
transcript.pyannote[927].speaker |
SPEAKER_12 |
transcript.pyannote[927].start |
6927.52221875 |
transcript.pyannote[927].end |
6946.52346875 |
transcript.pyannote[928].speaker |
SPEAKER_15 |
transcript.pyannote[928].start |
6947.06346875 |
transcript.pyannote[928].end |
6956.42909375 |
transcript.pyannote[929].speaker |
SPEAKER_12 |
transcript.pyannote[929].start |
6956.07471875 |
transcript.pyannote[929].end |
6967.93784375 |
transcript.pyannote[930].speaker |
SPEAKER_15 |
transcript.pyannote[930].start |
6968.79846875 |
transcript.pyannote[930].end |
6970.99221875 |
transcript.pyannote[931].speaker |
SPEAKER_12 |
transcript.pyannote[931].start |
6970.94159375 |
transcript.pyannote[931].end |
6972.34221875 |
transcript.pyannote[932].speaker |
SPEAKER_15 |
transcript.pyannote[932].start |
6971.21159375 |
transcript.pyannote[932].end |
6972.54471875 |
transcript.pyannote[933].speaker |
SPEAKER_12 |
transcript.pyannote[933].start |
6972.54471875 |
transcript.pyannote[933].end |
6975.93659375 |
transcript.pyannote[934].speaker |
SPEAKER_12 |
transcript.pyannote[934].start |
6976.54409375 |
transcript.pyannote[934].end |
7004.48909375 |
transcript.pyannote[935].speaker |
SPEAKER_15 |
transcript.pyannote[935].start |
6977.84346875 |
transcript.pyannote[935].end |
6979.15971875 |
transcript.pyannote[936].speaker |
SPEAKER_20 |
transcript.pyannote[936].start |
6979.15971875 |
transcript.pyannote[936].end |
6979.21034375 |
transcript.pyannote[937].speaker |
SPEAKER_00 |
transcript.pyannote[937].start |
6979.21034375 |
transcript.pyannote[937].end |
6979.24409375 |
transcript.pyannote[938].speaker |
SPEAKER_00 |
transcript.pyannote[938].start |
6979.49721875 |
transcript.pyannote[938].end |
6979.83471875 |
transcript.pyannote[939].speaker |
SPEAKER_15 |
transcript.pyannote[939].start |
7004.65784375 |
transcript.pyannote[939].end |
7005.04596875 |
transcript.pyannote[940].speaker |
SPEAKER_15 |
transcript.pyannote[940].start |
7005.61971875 |
transcript.pyannote[940].end |
7015.10346875 |
transcript.pyannote[941].speaker |
SPEAKER_12 |
transcript.pyannote[941].start |
7012.58909375 |
transcript.pyannote[941].end |
7012.63971875 |
transcript.pyannote[942].speaker |
SPEAKER_22 |
transcript.pyannote[942].start |
7012.63971875 |
transcript.pyannote[942].end |
7014.00659375 |
transcript.pyannote[943].speaker |
SPEAKER_12 |
transcript.pyannote[943].start |
7014.00659375 |
transcript.pyannote[943].end |
7014.02346875 |
transcript.pyannote[944].speaker |
SPEAKER_22 |
transcript.pyannote[944].start |
7014.63096875 |
transcript.pyannote[944].end |
7015.03596875 |
transcript.pyannote[945].speaker |
SPEAKER_12 |
transcript.pyannote[945].start |
7015.03596875 |
transcript.pyannote[945].end |
7015.42409375 |
transcript.pyannote[946].speaker |
SPEAKER_22 |
transcript.pyannote[946].start |
7015.10346875 |
transcript.pyannote[946].end |
7015.12034375 |
transcript.pyannote[947].speaker |
SPEAKER_22 |
transcript.pyannote[947].start |
7015.42409375 |
transcript.pyannote[947].end |
7015.47471875 |
transcript.pyannote[948].speaker |
SPEAKER_15 |
transcript.pyannote[948].start |
7015.47471875 |
transcript.pyannote[948].end |
7016.99346875 |
transcript.pyannote[949].speaker |
SPEAKER_15 |
transcript.pyannote[949].start |
7017.22971875 |
transcript.pyannote[949].end |
7019.15346875 |
transcript.pyannote[950].speaker |
SPEAKER_12 |
transcript.pyannote[950].start |
7019.86221875 |
transcript.pyannote[950].end |
7037.32784375 |
transcript.pyannote[951].speaker |
SPEAKER_12 |
transcript.pyannote[951].start |
7038.08721875 |
transcript.pyannote[951].end |
7061.49284375 |
transcript.pyannote[952].speaker |
SPEAKER_15 |
transcript.pyannote[952].start |
7062.80909375 |
transcript.pyannote[952].end |
7063.38284375 |
transcript.pyannote[953].speaker |
SPEAKER_15 |
transcript.pyannote[953].start |
7064.29409375 |
transcript.pyannote[953].end |
7066.43721875 |
transcript.pyannote[954].speaker |
SPEAKER_12 |
transcript.pyannote[954].start |
7064.34471875 |
transcript.pyannote[954].end |
7066.40346875 |
transcript.pyannote[955].speaker |
SPEAKER_20 |
transcript.pyannote[955].start |
7066.43721875 |
transcript.pyannote[955].end |
7066.45409375 |
transcript.pyannote[956].speaker |
SPEAKER_12 |
transcript.pyannote[956].start |
7067.38221875 |
transcript.pyannote[956].end |
7072.88346875 |
transcript.pyannote[957].speaker |
SPEAKER_12 |
transcript.pyannote[957].start |
7073.55846875 |
transcript.pyannote[957].end |
7074.11534375 |
transcript.pyannote[958].speaker |
SPEAKER_15 |
transcript.pyannote[958].start |
7075.07721875 |
transcript.pyannote[958].end |
7075.49909375 |
transcript.pyannote[959].speaker |
SPEAKER_15 |
transcript.pyannote[959].start |
7076.10659375 |
transcript.pyannote[959].end |
7076.74784375 |
transcript.pyannote[960].speaker |
SPEAKER_15 |
transcript.pyannote[960].start |
7076.96721875 |
transcript.pyannote[960].end |
7077.40596875 |
transcript.pyannote[961].speaker |
SPEAKER_15 |
transcript.pyannote[961].start |
7077.72659375 |
transcript.pyannote[961].end |
7079.48159375 |
transcript.pyannote[962].speaker |
SPEAKER_12 |
transcript.pyannote[962].start |
7079.97096875 |
transcript.pyannote[962].end |
7093.62284375 |
transcript.pyannote[963].speaker |
SPEAKER_15 |
transcript.pyannote[963].start |
7093.62284375 |
transcript.pyannote[963].end |
7102.53284375 |
transcript.pyannote[964].speaker |
SPEAKER_15 |
transcript.pyannote[964].start |
7103.10659375 |
transcript.pyannote[964].end |
7103.49471875 |
transcript.pyannote[965].speaker |
SPEAKER_15 |
transcript.pyannote[965].start |
7103.74784375 |
transcript.pyannote[965].end |
7122.41159375 |
transcript.pyannote[966].speaker |
SPEAKER_12 |
transcript.pyannote[966].start |
7121.61846875 |
transcript.pyannote[966].end |
7123.94721875 |
transcript.pyannote[967].speaker |
SPEAKER_12 |
transcript.pyannote[967].start |
7124.75721875 |
transcript.pyannote[967].end |
7126.32659375 |
transcript.pyannote[968].speaker |
SPEAKER_12 |
transcript.pyannote[968].start |
7126.61346875 |
transcript.pyannote[968].end |
7129.22909375 |
transcript.pyannote[969].speaker |
SPEAKER_12 |
transcript.pyannote[969].start |
7129.27971875 |
transcript.pyannote[969].end |
7133.85284375 |
transcript.pyannote[970].speaker |
SPEAKER_12 |
transcript.pyannote[970].start |
7134.13971875 |
transcript.pyannote[970].end |
7175.29784375 |
transcript.pyannote[971].speaker |
SPEAKER_15 |
transcript.pyannote[971].start |
7175.56784375 |
transcript.pyannote[971].end |
7192.27409375 |
transcript.pyannote[972].speaker |
SPEAKER_12 |
transcript.pyannote[972].start |
7191.80159375 |
transcript.pyannote[972].end |
7246.98284375 |
transcript.pyannote[973].speaker |
SPEAKER_15 |
transcript.pyannote[973].start |
7248.61971875 |
transcript.pyannote[973].end |
7257.34409375 |
transcript.pyannote[974].speaker |
SPEAKER_12 |
transcript.pyannote[974].start |
7256.63534375 |
transcript.pyannote[974].end |
7294.77284375 |
transcript.pyannote[975].speaker |
SPEAKER_15 |
transcript.pyannote[975].start |
7295.04284375 |
transcript.pyannote[975].end |
7297.16909375 |
transcript.pyannote[976].speaker |
SPEAKER_12 |
transcript.pyannote[976].start |
7297.35471875 |
transcript.pyannote[976].end |
7335.01971875 |
transcript.pyannote[977].speaker |
SPEAKER_15 |
transcript.pyannote[977].start |
7336.09971875 |
transcript.pyannote[977].end |
7337.39909375 |
transcript.pyannote[978].speaker |
SPEAKER_15 |
transcript.pyannote[978].start |
7337.44971875 |
transcript.pyannote[978].end |
7338.37784375 |
transcript.pyannote[979].speaker |
SPEAKER_12 |
transcript.pyannote[979].start |
7338.85034375 |
transcript.pyannote[979].end |
7339.86284375 |
transcript.pyannote[980].speaker |
SPEAKER_03 |
transcript.pyannote[980].start |
7341.36471875 |
transcript.pyannote[980].end |
7342.25909375 |
transcript.pyannote[981].speaker |
SPEAKER_03 |
transcript.pyannote[981].start |
7345.90409375 |
transcript.pyannote[981].end |
7347.32159375 |
transcript.pyannote[982].speaker |
SPEAKER_03 |
transcript.pyannote[982].start |
7347.76034375 |
transcript.pyannote[982].end |
7349.61659375 |
transcript.pyannote[983].speaker |
SPEAKER_03 |
transcript.pyannote[983].start |
7355.03346875 |
transcript.pyannote[983].end |
7358.35784375 |
transcript.pyannote[984].speaker |
SPEAKER_00 |
transcript.pyannote[984].start |
7359.13409375 |
transcript.pyannote[984].end |
7360.02846875 |
transcript.pyannote[985].speaker |
SPEAKER_00 |
transcript.pyannote[985].start |
7360.12971875 |
transcript.pyannote[985].end |
7360.38284375 |
transcript.pyannote[986].speaker |
SPEAKER_00 |
transcript.pyannote[986].start |
7360.97346875 |
transcript.pyannote[986].end |
7362.88034375 |
transcript.pyannote[987].speaker |
SPEAKER_00 |
transcript.pyannote[987].start |
7363.20096875 |
transcript.pyannote[987].end |
7363.21784375 |
transcript.pyannote[988].speaker |
SPEAKER_03 |
transcript.pyannote[988].start |
7363.21784375 |
transcript.pyannote[988].end |
7364.24721875 |
transcript.pyannote[989].speaker |
SPEAKER_00 |
transcript.pyannote[989].start |
7370.42346875 |
transcript.pyannote[989].end |
7370.96346875 |
transcript.pyannote[990].speaker |
SPEAKER_00 |
transcript.pyannote[990].start |
7371.08159375 |
transcript.pyannote[990].end |
7372.26284375 |
transcript.pyannote[991].speaker |
SPEAKER_00 |
transcript.pyannote[991].start |
7373.32596875 |
transcript.pyannote[991].end |
7373.83221875 |
transcript.pyannote[992].speaker |
SPEAKER_00 |
transcript.pyannote[992].start |
7374.43971875 |
transcript.pyannote[992].end |
7375.58721875 |
transcript.pyannote[993].speaker |
SPEAKER_00 |
transcript.pyannote[993].start |
7376.09346875 |
transcript.pyannote[993].end |
7377.64596875 |
transcript.pyannote[994].speaker |
SPEAKER_00 |
transcript.pyannote[994].start |
7378.18596875 |
transcript.pyannote[994].end |
7380.58221875 |
transcript.pyannote[995].speaker |
SPEAKER_00 |
transcript.pyannote[995].start |
7381.81409375 |
transcript.pyannote[995].end |
7383.19784375 |
transcript.pyannote[996].speaker |
SPEAKER_00 |
transcript.pyannote[996].start |
7383.92346875 |
transcript.pyannote[996].end |
7386.74159375 |
transcript.pyannote[997].speaker |
SPEAKER_00 |
transcript.pyannote[997].start |
7387.16346875 |
transcript.pyannote[997].end |
7389.89721875 |
transcript.pyannote[998].speaker |
SPEAKER_00 |
transcript.pyannote[998].start |
7390.31909375 |
transcript.pyannote[998].end |
7396.69784375 |
transcript.pyannote[999].speaker |
SPEAKER_00 |
transcript.pyannote[999].start |
7397.17034375 |
transcript.pyannote[999].end |
7398.38534375 |
transcript.pyannote[1000].speaker |
SPEAKER_00 |
transcript.pyannote[1000].start |
7399.17846875 |
transcript.pyannote[1000].end |
7400.79846875 |
transcript.pyannote[1001].speaker |
SPEAKER_00 |
transcript.pyannote[1001].start |
7402.21596875 |
transcript.pyannote[1001].end |
7402.24971875 |
transcript.pyannote[1002].speaker |
SPEAKER_15 |
transcript.pyannote[1002].start |
7402.24971875 |
transcript.pyannote[1002].end |
7402.28346875 |
transcript.pyannote[1003].speaker |
SPEAKER_00 |
transcript.pyannote[1003].start |
7402.28346875 |
transcript.pyannote[1003].end |
7402.53659375 |
transcript.pyannote[1004].speaker |
SPEAKER_15 |
transcript.pyannote[1004].start |
7402.53659375 |
transcript.pyannote[1004].end |
7402.78971875 |
transcript.pyannote[1005].speaker |
SPEAKER_00 |
transcript.pyannote[1005].start |
7402.78971875 |
transcript.pyannote[1005].end |
7402.82346875 |
transcript.pyannote[1006].speaker |
SPEAKER_15 |
transcript.pyannote[1006].start |
7402.82346875 |
transcript.pyannote[1006].end |
7402.84034375 |
transcript.pyannote[1007].speaker |
SPEAKER_00 |
transcript.pyannote[1007].start |
7402.84034375 |
transcript.pyannote[1007].end |
7403.17784375 |
transcript.pyannote[1008].speaker |
SPEAKER_00 |
transcript.pyannote[1008].start |
7403.59971875 |
transcript.pyannote[1008].end |
7403.92034375 |
transcript.pyannote[1009].speaker |
SPEAKER_00 |
transcript.pyannote[1009].start |
7404.19034375 |
transcript.pyannote[1009].end |
7405.00034375 |
transcript.pyannote[1010].speaker |
SPEAKER_15 |
transcript.pyannote[1010].start |
7405.00034375 |
transcript.pyannote[1010].end |
7405.01721875 |
transcript.pyannote[1011].speaker |
SPEAKER_00 |
transcript.pyannote[1011].start |
7405.45596875 |
transcript.pyannote[1011].end |
7408.05471875 |
transcript.pyannote[1012].speaker |
SPEAKER_00 |
transcript.pyannote[1012].start |
7408.99971875 |
transcript.pyannote[1012].end |
7412.62784375 |
transcript.pyannote[1013].speaker |
SPEAKER_00 |
transcript.pyannote[1013].start |
7413.47159375 |
transcript.pyannote[1013].end |
7416.27284375 |
transcript.pyannote[1014].speaker |
SPEAKER_00 |
transcript.pyannote[1014].start |
7417.03221875 |
transcript.pyannote[1014].end |
7420.18784375 |
transcript.pyannote[1015].speaker |
SPEAKER_00 |
transcript.pyannote[1015].start |
7420.77846875 |
transcript.pyannote[1015].end |
7421.84159375 |
transcript.pyannote[1016].speaker |
SPEAKER_00 |
transcript.pyannote[1016].start |
7422.61784375 |
transcript.pyannote[1016].end |
7426.46534375 |
transcript.pyannote[1017].speaker |
SPEAKER_00 |
transcript.pyannote[1017].start |
7426.90409375 |
transcript.pyannote[1017].end |
7428.03471875 |
transcript.pyannote[1018].speaker |
SPEAKER_00 |
transcript.pyannote[1018].start |
7428.16971875 |
transcript.pyannote[1018].end |
7434.07596875 |
transcript.pyannote[1019].speaker |
SPEAKER_00 |
transcript.pyannote[1019].start |
7436.01659375 |
transcript.pyannote[1019].end |
7437.87284375 |
transcript.pyannote[1020].speaker |
SPEAKER_00 |
transcript.pyannote[1020].start |
7439.22284375 |
transcript.pyannote[1020].end |
7442.15909375 |
transcript.pyannote[1021].speaker |
SPEAKER_00 |
transcript.pyannote[1021].start |
7442.54721875 |
transcript.pyannote[1021].end |
7446.52971875 |
transcript.pyannote[1022].speaker |
SPEAKER_00 |
transcript.pyannote[1022].start |
7446.96846875 |
transcript.pyannote[1022].end |
7449.95534375 |
transcript.pyannote[1023].speaker |
SPEAKER_00 |
transcript.pyannote[1023].start |
7450.74846875 |
transcript.pyannote[1023].end |
7456.11471875 |
transcript.pyannote[1024].speaker |
SPEAKER_00 |
transcript.pyannote[1024].start |
7456.65471875 |
transcript.pyannote[1024].end |
7459.11846875 |
transcript.pyannote[1025].speaker |
SPEAKER_00 |
transcript.pyannote[1025].start |
7459.65846875 |
transcript.pyannote[1025].end |
7461.49784375 |
transcript.pyannote[1026].speaker |
SPEAKER_00 |
transcript.pyannote[1026].start |
7461.78471875 |
transcript.pyannote[1026].end |
7464.77159375 |
transcript.pyannote[1027].speaker |
SPEAKER_00 |
transcript.pyannote[1027].start |
7465.29471875 |
transcript.pyannote[1027].end |
7467.10034375 |
transcript.pyannote[1028].speaker |
SPEAKER_00 |
transcript.pyannote[1028].start |
7467.74159375 |
transcript.pyannote[1028].end |
7476.63471875 |
transcript.pyannote[1029].speaker |
SPEAKER_15 |
transcript.pyannote[1029].start |
7474.13721875 |
transcript.pyannote[1029].end |
7474.17096875 |
transcript.pyannote[1030].speaker |
SPEAKER_15 |
transcript.pyannote[1030].start |
7477.32659375 |
transcript.pyannote[1030].end |
7478.89596875 |
transcript.pyannote[1031].speaker |
SPEAKER_15 |
transcript.pyannote[1031].start |
7479.26721875 |
transcript.pyannote[1031].end |
7503.07784375 |
transcript.pyannote[1032].speaker |
SPEAKER_00 |
transcript.pyannote[1032].start |
7501.30596875 |
transcript.pyannote[1032].end |
7502.20034375 |
transcript.pyannote[1033].speaker |
SPEAKER_00 |
transcript.pyannote[1033].start |
7503.07784375 |
transcript.pyannote[1033].end |
7505.76096875 |
transcript.pyannote[1034].speaker |
SPEAKER_00 |
transcript.pyannote[1034].start |
7506.08159375 |
transcript.pyannote[1034].end |
7507.90409375 |
transcript.pyannote[1035].speaker |
SPEAKER_00 |
transcript.pyannote[1035].start |
7507.95471875 |
transcript.pyannote[1035].end |
7509.05159375 |
transcript.pyannote[1036].speaker |
SPEAKER_00 |
transcript.pyannote[1036].start |
7509.72659375 |
transcript.pyannote[1036].end |
7516.25721875 |
transcript.pyannote[1037].speaker |
SPEAKER_00 |
transcript.pyannote[1037].start |
7516.79721875 |
transcript.pyannote[1037].end |
7520.08784375 |
transcript.pyannote[1038].speaker |
SPEAKER_00 |
transcript.pyannote[1038].start |
7520.59409375 |
transcript.pyannote[1038].end |
7522.02846875 |
transcript.pyannote[1039].speaker |
SPEAKER_00 |
transcript.pyannote[1039].start |
7522.18034375 |
transcript.pyannote[1039].end |
7522.99034375 |
transcript.pyannote[1040].speaker |
SPEAKER_00 |
transcript.pyannote[1040].start |
7524.39096875 |
transcript.pyannote[1040].end |
7525.87596875 |
transcript.pyannote[1041].speaker |
SPEAKER_00 |
transcript.pyannote[1041].start |
7526.61846875 |
transcript.pyannote[1041].end |
7528.32284375 |
transcript.pyannote[1042].speaker |
SPEAKER_00 |
transcript.pyannote[1042].start |
7529.06534375 |
transcript.pyannote[1042].end |
7530.38159375 |
transcript.pyannote[1043].speaker |
SPEAKER_00 |
transcript.pyannote[1043].start |
7531.05659375 |
transcript.pyannote[1043].end |
7534.36409375 |
transcript.pyannote[1044].speaker |
SPEAKER_00 |
transcript.pyannote[1044].start |
7535.19096875 |
transcript.pyannote[1044].end |
7535.74784375 |
transcript.pyannote[1045].speaker |
SPEAKER_00 |
transcript.pyannote[1045].start |
7536.79409375 |
transcript.pyannote[1045].end |
7539.94971875 |
transcript.pyannote[1046].speaker |
SPEAKER_00 |
transcript.pyannote[1046].start |
7540.42221875 |
transcript.pyannote[1046].end |
7545.36659375 |
transcript.pyannote[1047].speaker |
SPEAKER_00 |
transcript.pyannote[1047].start |
7545.99096875 |
transcript.pyannote[1047].end |
7547.94846875 |
transcript.pyannote[1048].speaker |
SPEAKER_00 |
transcript.pyannote[1048].start |
7548.42096875 |
transcript.pyannote[1048].end |
7550.78346875 |
transcript.pyannote[1049].speaker |
SPEAKER_00 |
transcript.pyannote[1049].start |
7551.34034375 |
transcript.pyannote[1049].end |
7554.54659375 |
transcript.pyannote[1050].speaker |
SPEAKER_00 |
transcript.pyannote[1050].start |
7555.18784375 |
transcript.pyannote[1050].end |
7558.81596875 |
transcript.pyannote[1051].speaker |
SPEAKER_00 |
transcript.pyannote[1051].start |
7559.32221875 |
transcript.pyannote[1051].end |
7560.16596875 |
transcript.pyannote[1052].speaker |
SPEAKER_00 |
transcript.pyannote[1052].start |
7560.43596875 |
transcript.pyannote[1052].end |
7563.20346875 |
transcript.pyannote[1053].speaker |
SPEAKER_00 |
transcript.pyannote[1053].start |
7563.91221875 |
transcript.pyannote[1053].end |
7565.39721875 |
transcript.pyannote[1054].speaker |
SPEAKER_00 |
transcript.pyannote[1054].start |
7566.17346875 |
transcript.pyannote[1054].end |
7573.21034375 |
transcript.pyannote[1055].speaker |
SPEAKER_00 |
transcript.pyannote[1055].start |
7573.69971875 |
transcript.pyannote[1055].end |
7580.88846875 |
transcript.pyannote[1056].speaker |
SPEAKER_00 |
transcript.pyannote[1056].start |
7581.68159375 |
transcript.pyannote[1056].end |
7584.26346875 |
transcript.pyannote[1057].speaker |
SPEAKER_00 |
transcript.pyannote[1057].start |
7584.46596875 |
transcript.pyannote[1057].end |
7586.28846875 |
transcript.pyannote[1058].speaker |
SPEAKER_15 |
transcript.pyannote[1058].start |
7589.35971875 |
transcript.pyannote[1058].end |
7598.89409375 |
transcript.pyannote[1059].speaker |
SPEAKER_15 |
transcript.pyannote[1059].start |
7599.23159375 |
transcript.pyannote[1059].end |
7602.16784375 |
transcript.pyannote[1060].speaker |
SPEAKER_00 |
transcript.pyannote[1060].start |
7599.29909375 |
transcript.pyannote[1060].end |
7599.67034375 |
transcript.pyannote[1061].speaker |
SPEAKER_00 |
transcript.pyannote[1061].start |
7601.27346875 |
transcript.pyannote[1061].end |
7603.31534375 |
transcript.pyannote[1062].speaker |
SPEAKER_00 |
transcript.pyannote[1062].start |
7603.50096875 |
transcript.pyannote[1062].end |
7606.21784375 |
transcript.pyannote[1063].speaker |
SPEAKER_00 |
transcript.pyannote[1063].start |
7606.47096875 |
transcript.pyannote[1063].end |
7611.85409375 |
transcript.pyannote[1064].speaker |
SPEAKER_15 |
transcript.pyannote[1064].start |
7607.02784375 |
transcript.pyannote[1064].end |
7607.55096875 |
transcript.pyannote[1065].speaker |
SPEAKER_00 |
transcript.pyannote[1065].start |
7612.51221875 |
transcript.pyannote[1065].end |
7616.25846875 |
transcript.pyannote[1066].speaker |
SPEAKER_00 |
transcript.pyannote[1066].start |
7616.47784375 |
transcript.pyannote[1066].end |
7619.32971875 |
transcript.pyannote[1067].speaker |
SPEAKER_00 |
transcript.pyannote[1067].start |
7619.88659375 |
transcript.pyannote[1067].end |
7620.94971875 |
transcript.pyannote[1068].speaker |
SPEAKER_00 |
transcript.pyannote[1068].start |
7621.69221875 |
transcript.pyannote[1068].end |
7627.64909375 |
transcript.pyannote[1069].speaker |
SPEAKER_00 |
transcript.pyannote[1069].start |
7628.35784375 |
transcript.pyannote[1069].end |
7629.69096875 |
transcript.pyannote[1070].speaker |
SPEAKER_00 |
transcript.pyannote[1070].start |
7630.33221875 |
transcript.pyannote[1070].end |
7631.56409375 |
transcript.pyannote[1071].speaker |
SPEAKER_00 |
transcript.pyannote[1071].start |
7632.25596875 |
transcript.pyannote[1071].end |
7636.03596875 |
transcript.pyannote[1072].speaker |
SPEAKER_00 |
transcript.pyannote[1072].start |
7636.64346875 |
transcript.pyannote[1072].end |
7643.35971875 |
transcript.pyannote[1073].speaker |
SPEAKER_00 |
transcript.pyannote[1073].start |
7643.57909375 |
transcript.pyannote[1073].end |
7647.34221875 |
transcript.pyannote[1074].speaker |
SPEAKER_00 |
transcript.pyannote[1074].start |
7648.20284375 |
transcript.pyannote[1074].end |
7649.89034375 |
transcript.pyannote[1075].speaker |
SPEAKER_00 |
transcript.pyannote[1075].start |
7650.95346875 |
transcript.pyannote[1075].end |
7652.97846875 |
transcript.pyannote[1076].speaker |
SPEAKER_00 |
transcript.pyannote[1076].start |
7653.68721875 |
transcript.pyannote[1076].end |
7656.06659375 |
transcript.pyannote[1077].speaker |
SPEAKER_00 |
transcript.pyannote[1077].start |
7656.97784375 |
transcript.pyannote[1077].end |
7657.28159375 |
transcript.pyannote[1078].speaker |
SPEAKER_00 |
transcript.pyannote[1078].start |
7657.48409375 |
transcript.pyannote[1078].end |
7658.76659375 |
transcript.pyannote[1079].speaker |
SPEAKER_00 |
transcript.pyannote[1079].start |
7658.95221875 |
transcript.pyannote[1079].end |
7663.25534375 |
transcript.pyannote[1080].speaker |
SPEAKER_00 |
transcript.pyannote[1080].start |
7663.67721875 |
transcript.pyannote[1080].end |
7664.26784375 |
transcript.pyannote[1081].speaker |
SPEAKER_00 |
transcript.pyannote[1081].start |
7664.53784375 |
transcript.pyannote[1081].end |
7665.24659375 |
transcript.pyannote[1082].speaker |
SPEAKER_00 |
transcript.pyannote[1082].start |
7665.93846875 |
transcript.pyannote[1082].end |
7666.74846875 |
transcript.pyannote[1083].speaker |
SPEAKER_00 |
transcript.pyannote[1083].start |
7666.81596875 |
transcript.pyannote[1083].end |
7668.36846875 |
transcript.pyannote[1084].speaker |
SPEAKER_00 |
transcript.pyannote[1084].start |
7668.80721875 |
transcript.pyannote[1084].end |
7672.14846875 |
transcript.pyannote[1085].speaker |
SPEAKER_00 |
transcript.pyannote[1085].start |
7673.39721875 |
transcript.pyannote[1085].end |
7673.75159375 |
transcript.pyannote[1086].speaker |
SPEAKER_00 |
transcript.pyannote[1086].start |
7675.23659375 |
transcript.pyannote[1086].end |
7676.78909375 |
transcript.pyannote[1087].speaker |
SPEAKER_00 |
transcript.pyannote[1087].start |
7677.70034375 |
transcript.pyannote[1087].end |
7679.59034375 |
transcript.pyannote[1088].speaker |
SPEAKER_00 |
transcript.pyannote[1088].start |
7680.46784375 |
transcript.pyannote[1088].end |
7681.68284375 |
transcript.pyannote[1089].speaker |
SPEAKER_00 |
transcript.pyannote[1089].start |
7682.12159375 |
transcript.pyannote[1089].end |
7683.69096875 |
transcript.pyannote[1090].speaker |
SPEAKER_00 |
transcript.pyannote[1090].start |
7684.21409375 |
transcript.pyannote[1090].end |
7688.02784375 |
transcript.pyannote[1091].speaker |
SPEAKER_00 |
transcript.pyannote[1091].start |
7688.41596875 |
transcript.pyannote[1091].end |
7692.43221875 |
transcript.pyannote[1092].speaker |
SPEAKER_00 |
transcript.pyannote[1092].start |
7693.39409375 |
transcript.pyannote[1092].end |
7693.44471875 |
transcript.pyannote[1093].speaker |
SPEAKER_15 |
transcript.pyannote[1093].start |
7693.44471875 |
transcript.pyannote[1093].end |
7693.54596875 |
transcript.pyannote[1094].speaker |
SPEAKER_00 |
transcript.pyannote[1094].start |
7693.54596875 |
transcript.pyannote[1094].end |
7693.56284375 |
transcript.pyannote[1095].speaker |
SPEAKER_15 |
transcript.pyannote[1095].start |
7693.56284375 |
transcript.pyannote[1095].end |
7693.57971875 |
transcript.pyannote[1096].speaker |
SPEAKER_00 |
transcript.pyannote[1096].start |
7693.57971875 |
transcript.pyannote[1096].end |
7693.59659375 |
transcript.pyannote[1097].speaker |
SPEAKER_15 |
transcript.pyannote[1097].start |
7694.23784375 |
transcript.pyannote[1097].end |
7695.33471875 |
transcript.pyannote[1098].speaker |
SPEAKER_00 |
transcript.pyannote[1098].start |
7695.73971875 |
transcript.pyannote[1098].end |
7695.75659375 |
transcript.pyannote[1099].speaker |
SPEAKER_15 |
transcript.pyannote[1099].start |
7695.75659375 |
transcript.pyannote[1099].end |
7735.58159375 |
transcript.pyannote[1100].speaker |
SPEAKER_15 |
transcript.pyannote[1100].start |
7736.02034375 |
transcript.pyannote[1100].end |
7745.03159375 |
transcript.pyannote[1101].speaker |
SPEAKER_00 |
transcript.pyannote[1101].start |
7745.03159375 |
transcript.pyannote[1101].end |
7752.55784375 |
transcript.pyannote[1102].speaker |
SPEAKER_00 |
transcript.pyannote[1102].start |
7753.58721875 |
transcript.pyannote[1102].end |
7755.71346875 |
transcript.pyannote[1103].speaker |
SPEAKER_00 |
transcript.pyannote[1103].start |
7756.33784375 |
transcript.pyannote[1103].end |
7757.92409375 |
transcript.pyannote[1104].speaker |
SPEAKER_00 |
transcript.pyannote[1104].start |
7758.58221875 |
transcript.pyannote[1104].end |
7759.49346875 |
transcript.pyannote[1105].speaker |
SPEAKER_00 |
transcript.pyannote[1105].start |
7759.88159375 |
transcript.pyannote[1105].end |
7761.11346875 |
transcript.pyannote[1106].speaker |
SPEAKER_00 |
transcript.pyannote[1106].start |
7761.26534375 |
transcript.pyannote[1106].end |
7764.33659375 |
transcript.pyannote[1107].speaker |
SPEAKER_00 |
transcript.pyannote[1107].start |
7764.85971875 |
transcript.pyannote[1107].end |
7765.60221875 |
transcript.pyannote[1108].speaker |
SPEAKER_00 |
transcript.pyannote[1108].start |
7766.04096875 |
transcript.pyannote[1108].end |
7770.76596875 |
transcript.pyannote[1109].speaker |
SPEAKER_00 |
transcript.pyannote[1109].start |
7771.50846875 |
transcript.pyannote[1109].end |
7774.98471875 |
transcript.pyannote[1110].speaker |
SPEAKER_00 |
transcript.pyannote[1110].start |
7775.60909375 |
transcript.pyannote[1110].end |
7784.06346875 |
transcript.pyannote[1111].speaker |
SPEAKER_00 |
transcript.pyannote[1111].start |
7784.73846875 |
transcript.pyannote[1111].end |
7794.42471875 |
transcript.pyannote[1112].speaker |
SPEAKER_00 |
transcript.pyannote[1112].start |
7795.11659375 |
transcript.pyannote[1112].end |
7797.96846875 |
transcript.pyannote[1113].speaker |
SPEAKER_15 |
transcript.pyannote[1113].start |
7797.96846875 |
transcript.pyannote[1113].end |
7798.49159375 |
transcript.pyannote[1114].speaker |
SPEAKER_00 |
transcript.pyannote[1114].start |
7799.21721875 |
transcript.pyannote[1114].end |
7799.23409375 |
transcript.pyannote[1115].speaker |
SPEAKER_15 |
transcript.pyannote[1115].start |
7799.23409375 |
transcript.pyannote[1115].end |
7807.36784375 |
transcript.pyannote[1116].speaker |
SPEAKER_00 |
transcript.pyannote[1116].start |
7806.67596875 |
transcript.pyannote[1116].end |
7810.67534375 |
transcript.pyannote[1117].speaker |
SPEAKER_15 |
transcript.pyannote[1117].start |
7808.65034375 |
transcript.pyannote[1117].end |
7809.86534375 |
transcript.pyannote[1118].speaker |
SPEAKER_00 |
transcript.pyannote[1118].start |
7811.08034375 |
transcript.pyannote[1118].end |
7814.33721875 |
transcript.pyannote[1119].speaker |
SPEAKER_00 |
transcript.pyannote[1119].start |
7815.19784375 |
transcript.pyannote[1119].end |
7815.53534375 |
transcript.pyannote[1120].speaker |
SPEAKER_00 |
transcript.pyannote[1120].start |
7816.81784375 |
transcript.pyannote[1120].end |
7822.87596875 |
transcript.pyannote[1121].speaker |
SPEAKER_00 |
transcript.pyannote[1121].start |
7823.24721875 |
transcript.pyannote[1121].end |
7823.26409375 |
transcript.pyannote[1122].speaker |
SPEAKER_15 |
transcript.pyannote[1122].start |
7823.26409375 |
transcript.pyannote[1122].end |
7823.61846875 |
transcript.pyannote[1123].speaker |
SPEAKER_00 |
transcript.pyannote[1123].start |
7823.61846875 |
transcript.pyannote[1123].end |
7823.63534375 |
transcript.pyannote[1124].speaker |
SPEAKER_26 |
transcript.pyannote[1124].start |
7824.00659375 |
transcript.pyannote[1124].end |
7824.02346875 |
transcript.pyannote[1125].speaker |
SPEAKER_15 |
transcript.pyannote[1125].start |
7824.02346875 |
transcript.pyannote[1125].end |
7824.69846875 |
transcript.pyannote[1126].speaker |
SPEAKER_00 |
transcript.pyannote[1126].start |
7824.85034375 |
transcript.pyannote[1126].end |
7826.45346875 |
transcript.pyannote[1127].speaker |
SPEAKER_15 |
transcript.pyannote[1127].start |
7826.45346875 |
transcript.pyannote[1127].end |
7827.12846875 |
transcript.pyannote[1128].speaker |
SPEAKER_00 |
transcript.pyannote[1128].start |
7827.12846875 |
transcript.pyannote[1128].end |
7829.65971875 |
transcript.pyannote[1129].speaker |
SPEAKER_15 |
transcript.pyannote[1129].start |
7827.16221875 |
transcript.pyannote[1129].end |
7827.29721875 |
transcript.pyannote[1130].speaker |
SPEAKER_15 |
transcript.pyannote[1130].start |
7827.31409375 |
transcript.pyannote[1130].end |
7827.34784375 |
transcript.pyannote[1131].speaker |
SPEAKER_15 |
transcript.pyannote[1131].start |
7828.96784375 |
transcript.pyannote[1131].end |
7829.72721875 |
transcript.pyannote[1132].speaker |
SPEAKER_00 |
transcript.pyannote[1132].start |
7829.72721875 |
transcript.pyannote[1132].end |
7829.82846875 |
transcript.pyannote[1133].speaker |
SPEAKER_15 |
transcript.pyannote[1133].start |
7829.82846875 |
transcript.pyannote[1133].end |
7829.86221875 |
transcript.pyannote[1134].speaker |
SPEAKER_15 |
transcript.pyannote[1134].start |
7830.36846875 |
transcript.pyannote[1134].end |
7830.60471875 |
transcript.pyannote[1135].speaker |
SPEAKER_00 |
transcript.pyannote[1135].start |
7830.60471875 |
transcript.pyannote[1135].end |
7832.84909375 |
transcript.pyannote[1136].speaker |
SPEAKER_00 |
transcript.pyannote[1136].start |
7834.11471875 |
transcript.pyannote[1136].end |
7835.11034375 |
transcript.pyannote[1137].speaker |
SPEAKER_00 |
transcript.pyannote[1137].start |
7835.81909375 |
transcript.pyannote[1137].end |
7837.57409375 |
transcript.pyannote[1138].speaker |
SPEAKER_00 |
transcript.pyannote[1138].start |
7838.36721875 |
transcript.pyannote[1138].end |
7841.11784375 |
transcript.pyannote[1139].speaker |
SPEAKER_00 |
transcript.pyannote[1139].start |
7841.82659375 |
transcript.pyannote[1139].end |
7845.33659375 |
transcript.pyannote[1140].speaker |
SPEAKER_00 |
transcript.pyannote[1140].start |
7846.16346875 |
transcript.pyannote[1140].end |
7847.09159375 |
transcript.pyannote[1141].speaker |
SPEAKER_00 |
transcript.pyannote[1141].start |
7847.74971875 |
transcript.pyannote[1141].end |
7849.72409375 |
transcript.pyannote[1142].speaker |
SPEAKER_00 |
transcript.pyannote[1142].start |
7850.33159375 |
transcript.pyannote[1142].end |
7851.56346875 |
transcript.pyannote[1143].speaker |
SPEAKER_00 |
transcript.pyannote[1143].start |
7852.47471875 |
transcript.pyannote[1143].end |
7854.51659375 |
transcript.pyannote[1144].speaker |
SPEAKER_00 |
transcript.pyannote[1144].start |
7854.87096875 |
transcript.pyannote[1144].end |
7860.49034375 |
transcript.pyannote[1145].speaker |
SPEAKER_00 |
transcript.pyannote[1145].start |
7862.12721875 |
transcript.pyannote[1145].end |
7862.73471875 |
transcript.pyannote[1146].speaker |
SPEAKER_00 |
transcript.pyannote[1146].start |
7863.56159375 |
transcript.pyannote[1146].end |
7864.40534375 |
transcript.pyannote[1147].speaker |
SPEAKER_00 |
transcript.pyannote[1147].start |
7864.89471875 |
transcript.pyannote[1147].end |
7868.32034375 |
transcript.pyannote[1148].speaker |
SPEAKER_00 |
transcript.pyannote[1148].start |
7869.36659375 |
transcript.pyannote[1148].end |
7869.70409375 |
transcript.pyannote[1149].speaker |
SPEAKER_00 |
transcript.pyannote[1149].start |
7869.87284375 |
transcript.pyannote[1149].end |
7870.59846875 |
transcript.pyannote[1150].speaker |
SPEAKER_00 |
transcript.pyannote[1150].start |
7871.10471875 |
transcript.pyannote[1150].end |
7875.03659375 |
transcript.pyannote[1151].speaker |
SPEAKER_00 |
transcript.pyannote[1151].start |
7875.13784375 |
transcript.pyannote[1151].end |
7882.51221875 |
transcript.pyannote[1152].speaker |
SPEAKER_00 |
transcript.pyannote[1152].start |
7883.38971875 |
transcript.pyannote[1152].end |
7885.76909375 |
transcript.pyannote[1153].speaker |
SPEAKER_00 |
transcript.pyannote[1153].start |
7886.54534375 |
transcript.pyannote[1153].end |
7887.89534375 |
transcript.pyannote[1154].speaker |
SPEAKER_00 |
transcript.pyannote[1154].start |
7888.45221875 |
transcript.pyannote[1154].end |
7891.97909375 |
transcript.pyannote[1155].speaker |
SPEAKER_00 |
transcript.pyannote[1155].start |
7892.62034375 |
transcript.pyannote[1155].end |
7895.77596875 |
transcript.pyannote[1156].speaker |
SPEAKER_00 |
transcript.pyannote[1156].start |
7896.19784375 |
transcript.pyannote[1156].end |
7897.24409375 |
transcript.pyannote[1157].speaker |
SPEAKER_00 |
transcript.pyannote[1157].start |
7898.44221875 |
transcript.pyannote[1157].end |
7904.82096875 |
transcript.pyannote[1158].speaker |
SPEAKER_00 |
transcript.pyannote[1158].start |
7905.41159375 |
transcript.pyannote[1158].end |
7906.86284375 |
transcript.pyannote[1159].speaker |
SPEAKER_00 |
transcript.pyannote[1159].start |
7907.55471875 |
transcript.pyannote[1159].end |
7910.08596875 |
transcript.pyannote[1160].speaker |
SPEAKER_00 |
transcript.pyannote[1160].start |
7910.65971875 |
transcript.pyannote[1160].end |
7912.14471875 |
transcript.pyannote[1161].speaker |
SPEAKER_00 |
transcript.pyannote[1161].start |
7913.12346875 |
transcript.pyannote[1161].end |
7914.54096875 |
transcript.pyannote[1162].speaker |
SPEAKER_00 |
transcript.pyannote[1162].start |
7915.31721875 |
transcript.pyannote[1162].end |
7917.76409375 |
transcript.pyannote[1163].speaker |
SPEAKER_00 |
transcript.pyannote[1163].start |
7918.42221875 |
transcript.pyannote[1163].end |
7920.78471875 |
transcript.pyannote[1164].speaker |
SPEAKER_00 |
transcript.pyannote[1164].start |
7921.13909375 |
transcript.pyannote[1164].end |
7921.99971875 |
transcript.pyannote[1165].speaker |
SPEAKER_00 |
transcript.pyannote[1165].start |
7922.28659375 |
transcript.pyannote[1165].end |
7924.34534375 |
transcript.pyannote[1166].speaker |
SPEAKER_00 |
transcript.pyannote[1166].start |
7924.54784375 |
transcript.pyannote[1166].end |
7928.15909375 |
transcript.pyannote[1167].speaker |
SPEAKER_00 |
transcript.pyannote[1167].start |
7928.71596875 |
transcript.pyannote[1167].end |
7931.80409375 |
transcript.pyannote[1168].speaker |
SPEAKER_00 |
transcript.pyannote[1168].start |
7932.34409375 |
transcript.pyannote[1168].end |
7933.89659375 |
transcript.pyannote[1169].speaker |
SPEAKER_00 |
transcript.pyannote[1169].start |
7934.70659375 |
transcript.pyannote[1169].end |
7936.15784375 |
transcript.pyannote[1170].speaker |
SPEAKER_00 |
transcript.pyannote[1170].start |
7936.93409375 |
transcript.pyannote[1170].end |
7937.33909375 |
transcript.pyannote[1171].speaker |
SPEAKER_00 |
transcript.pyannote[1171].start |
7938.30096875 |
transcript.pyannote[1171].end |
7939.34721875 |
transcript.pyannote[1172].speaker |
SPEAKER_00 |
transcript.pyannote[1172].start |
7940.22471875 |
transcript.pyannote[1172].end |
7941.97971875 |
transcript.pyannote[1173].speaker |
SPEAKER_00 |
transcript.pyannote[1173].start |
7942.35096875 |
transcript.pyannote[1173].end |
7945.01721875 |
transcript.pyannote[1174].speaker |
SPEAKER_00 |
transcript.pyannote[1174].start |
7945.45596875 |
transcript.pyannote[1174].end |
7947.10971875 |
transcript.pyannote[1175].speaker |
SPEAKER_20 |
transcript.pyannote[1175].start |
7947.39659375 |
transcript.pyannote[1175].end |
7947.80159375 |
transcript.pyannote[1176].speaker |
SPEAKER_00 |
transcript.pyannote[1176].start |
7947.80159375 |
transcript.pyannote[1176].end |
7949.32034375 |
transcript.pyannote[1177].speaker |
SPEAKER_20 |
transcript.pyannote[1177].start |
7947.81846875 |
transcript.pyannote[1177].end |
7947.85221875 |
transcript.pyannote[1178].speaker |
SPEAKER_00 |
transcript.pyannote[1178].start |
7949.89409375 |
transcript.pyannote[1178].end |
7953.31971875 |
transcript.pyannote[1179].speaker |
SPEAKER_00 |
transcript.pyannote[1179].start |
7953.69096875 |
transcript.pyannote[1179].end |
7955.27721875 |
transcript.pyannote[1180].speaker |
SPEAKER_00 |
transcript.pyannote[1180].start |
7956.01971875 |
transcript.pyannote[1180].end |
7958.48346875 |
transcript.pyannote[1181].speaker |
SPEAKER_00 |
transcript.pyannote[1181].start |
7958.97284375 |
transcript.pyannote[1181].end |
7961.45346875 |
transcript.pyannote[1182].speaker |
SPEAKER_00 |
transcript.pyannote[1182].start |
7961.72346875 |
transcript.pyannote[1182].end |
7963.79909375 |
transcript.pyannote[1183].speaker |
SPEAKER_00 |
transcript.pyannote[1183].start |
7964.23784375 |
transcript.pyannote[1183].end |
7965.63846875 |
transcript.pyannote[1184].speaker |
SPEAKER_00 |
transcript.pyannote[1184].start |
7966.44846875 |
transcript.pyannote[1184].end |
7968.86159375 |
transcript.pyannote[1185].speaker |
SPEAKER_00 |
transcript.pyannote[1185].start |
7969.67159375 |
transcript.pyannote[1185].end |
7971.96659375 |
transcript.pyannote[1186].speaker |
SPEAKER_00 |
transcript.pyannote[1186].start |
7972.47284375 |
transcript.pyannote[1186].end |
7973.50221875 |
transcript.pyannote[1187].speaker |
SPEAKER_00 |
transcript.pyannote[1187].start |
7973.83971875 |
transcript.pyannote[1187].end |
7974.97034375 |
transcript.pyannote[1188].speaker |
SPEAKER_00 |
transcript.pyannote[1188].start |
7975.56096875 |
transcript.pyannote[1188].end |
7977.23159375 |
transcript.pyannote[1189].speaker |
SPEAKER_00 |
transcript.pyannote[1189].start |
7977.83909375 |
transcript.pyannote[1189].end |
7979.08784375 |
transcript.pyannote[1190].speaker |
SPEAKER_00 |
transcript.pyannote[1190].start |
7979.45909375 |
transcript.pyannote[1190].end |
7979.71221875 |
transcript.pyannote[1191].speaker |
SPEAKER_00 |
transcript.pyannote[1191].start |
7979.91471875 |
transcript.pyannote[1191].end |
7983.28971875 |
transcript.pyannote[1192].speaker |
SPEAKER_00 |
transcript.pyannote[1192].start |
7983.77909375 |
transcript.pyannote[1192].end |
7985.14596875 |
transcript.pyannote[1193].speaker |
SPEAKER_00 |
transcript.pyannote[1193].start |
7985.33159375 |
transcript.pyannote[1193].end |
7985.77034375 |
transcript.pyannote[1194].speaker |
SPEAKER_00 |
transcript.pyannote[1194].start |
7986.31034375 |
transcript.pyannote[1194].end |
7990.93409375 |
transcript.pyannote[1195].speaker |
SPEAKER_20 |
transcript.pyannote[1195].start |
7989.98909375 |
transcript.pyannote[1195].end |
7991.01846875 |
transcript.pyannote[1196].speaker |
SPEAKER_00 |
transcript.pyannote[1196].start |
7991.01846875 |
transcript.pyannote[1196].end |
7991.08596875 |
transcript.pyannote[1197].speaker |
SPEAKER_00 |
transcript.pyannote[1197].start |
7991.28846875 |
transcript.pyannote[1197].end |
7994.78159375 |
transcript.pyannote[1198].speaker |
SPEAKER_00 |
transcript.pyannote[1198].start |
7995.08534375 |
transcript.pyannote[1198].end |
7998.79784375 |
transcript.pyannote[1199].speaker |
SPEAKER_00 |
transcript.pyannote[1199].start |
7999.11846875 |
transcript.pyannote[1199].end |
8004.83909375 |
transcript.pyannote[1200].speaker |
SPEAKER_00 |
transcript.pyannote[1200].start |
8005.14284375 |
transcript.pyannote[1200].end |
8007.75846875 |
transcript.pyannote[1201].speaker |
SPEAKER_00 |
transcript.pyannote[1201].start |
8008.14659375 |
transcript.pyannote[1201].end |
8009.36159375 |
transcript.pyannote[1202].speaker |
SPEAKER_00 |
transcript.pyannote[1202].start |
8010.23909375 |
transcript.pyannote[1202].end |
8010.91409375 |
transcript.pyannote[1203].speaker |
SPEAKER_03 |
transcript.pyannote[1203].start |
8010.91409375 |
transcript.pyannote[1203].end |
8011.57221875 |
transcript.pyannote[1204].speaker |
SPEAKER_03 |
transcript.pyannote[1204].start |
8014.08659375 |
transcript.pyannote[1204].end |
8015.60534375 |
transcript.pyannote[1205].speaker |
SPEAKER_08 |
transcript.pyannote[1205].start |
8017.96784375 |
transcript.pyannote[1205].end |
8018.03534375 |
transcript.pyannote[1206].speaker |
SPEAKER_08 |
transcript.pyannote[1206].start |
8018.10284375 |
transcript.pyannote[1206].end |
8018.67659375 |
transcript.pyannote[1207].speaker |
SPEAKER_20 |
transcript.pyannote[1207].start |
8056.20659375 |
transcript.pyannote[1207].end |
8056.29096875 |
transcript.pyannote[1208].speaker |
SPEAKER_20 |
transcript.pyannote[1208].start |
8056.34159375 |
transcript.pyannote[1208].end |
8056.59471875 |
transcript.pyannote[1209].speaker |
SPEAKER_20 |
transcript.pyannote[1209].start |
8056.96596875 |
transcript.pyannote[1209].end |
8057.23596875 |
transcript.pyannote[1210].speaker |
SPEAKER_20 |
transcript.pyannote[1210].start |
8057.35409375 |
transcript.pyannote[1210].end |
8057.45534375 |
transcript.pyannote[1211].speaker |
SPEAKER_08 |
transcript.pyannote[1211].start |
8058.01221875 |
transcript.pyannote[1211].end |
8058.09659375 |
transcript.pyannote[1212].speaker |
SPEAKER_20 |
transcript.pyannote[1212].start |
8058.09659375 |
transcript.pyannote[1212].end |
8058.90659375 |
transcript.pyannote[1213].speaker |
SPEAKER_08 |
transcript.pyannote[1213].start |
8058.90659375 |
transcript.pyannote[1213].end |
8063.53034375 |
transcript.pyannote[1214].speaker |
SPEAKER_08 |
transcript.pyannote[1214].start |
8063.90159375 |
transcript.pyannote[1214].end |
8068.96409375 |
transcript.pyannote[1215].speaker |
SPEAKER_04 |
transcript.pyannote[1215].start |
8068.96409375 |
transcript.pyannote[1215].end |
8070.02721875 |
transcript.pyannote[1216].speaker |
SPEAKER_04 |
transcript.pyannote[1216].start |
8070.11159375 |
transcript.pyannote[1216].end |
8070.76971875 |
transcript.pyannote[1217].speaker |
SPEAKER_04 |
transcript.pyannote[1217].start |
8070.80346875 |
transcript.pyannote[1217].end |
8070.90471875 |
transcript.pyannote[1218].speaker |
SPEAKER_00 |
transcript.pyannote[1218].start |
8229.66471875 |
transcript.pyannote[1218].end |
8231.89221875 |
transcript.pyannote[1219].speaker |
SPEAKER_00 |
transcript.pyannote[1219].start |
8247.56909375 |
transcript.pyannote[1219].end |
8248.04159375 |
transcript.pyannote[1220].speaker |
SPEAKER_00 |
transcript.pyannote[1220].start |
8248.12596875 |
transcript.pyannote[1220].end |
8249.99909375 |
transcript.pyannote[1221].speaker |
SPEAKER_00 |
transcript.pyannote[1221].start |
8250.60659375 |
transcript.pyannote[1221].end |
8251.48409375 |
transcript.pyannote[1222].speaker |
SPEAKER_00 |
transcript.pyannote[1222].start |
8251.70346875 |
transcript.pyannote[1222].end |
8253.20534375 |
transcript.pyannote[1223].speaker |
SPEAKER_00 |
transcript.pyannote[1223].start |
8253.35721875 |
transcript.pyannote[1223].end |
8254.62284375 |
transcript.pyannote[1224].speaker |
SPEAKER_25 |
transcript.pyannote[1224].start |
8263.31346875 |
transcript.pyannote[1224].end |
8268.25784375 |
transcript.pyannote[1225].speaker |
SPEAKER_24 |
transcript.pyannote[1225].start |
8276.37471875 |
transcript.pyannote[1225].end |
8285.03159375 |
transcript.pyannote[1226].speaker |
SPEAKER_25 |
transcript.pyannote[1226].start |
8276.69534375 |
transcript.pyannote[1226].end |
8276.81346875 |
transcript.pyannote[1227].speaker |
SPEAKER_24 |
transcript.pyannote[1227].start |
8285.45346875 |
transcript.pyannote[1227].end |
8291.34284375 |
transcript.pyannote[1228].speaker |
SPEAKER_24 |
transcript.pyannote[1228].start |
8291.44409375 |
transcript.pyannote[1228].end |
8292.92909375 |
transcript.pyannote[1229].speaker |
SPEAKER_24 |
transcript.pyannote[1229].start |
8293.77284375 |
transcript.pyannote[1229].end |
8294.38034375 |
transcript.pyannote[1230].speaker |
SPEAKER_24 |
transcript.pyannote[1230].start |
8294.76846875 |
transcript.pyannote[1230].end |
8297.36721875 |
transcript.pyannote[1231].speaker |
SPEAKER_24 |
transcript.pyannote[1231].start |
8297.77221875 |
transcript.pyannote[1231].end |
8299.89846875 |
transcript.pyannote[1232].speaker |
SPEAKER_24 |
transcript.pyannote[1232].start |
8301.14721875 |
transcript.pyannote[1232].end |
8304.03284375 |
transcript.pyannote[1233].speaker |
SPEAKER_24 |
transcript.pyannote[1233].start |
8304.64034375 |
transcript.pyannote[1233].end |
8305.01159375 |
transcript.pyannote[1234].speaker |
SPEAKER_24 |
transcript.pyannote[1234].start |
8305.16346875 |
transcript.pyannote[1234].end |
8306.53034375 |
transcript.pyannote[1235].speaker |
SPEAKER_24 |
transcript.pyannote[1235].start |
8306.56409375 |
transcript.pyannote[1235].end |
8308.25159375 |
transcript.pyannote[1236].speaker |
SPEAKER_24 |
transcript.pyannote[1236].start |
8309.21346875 |
transcript.pyannote[1236].end |
8310.17534375 |
transcript.pyannote[1237].speaker |
SPEAKER_24 |
transcript.pyannote[1237].start |
8310.46221875 |
transcript.pyannote[1237].end |
8313.31409375 |
transcript.pyannote[1238].speaker |
SPEAKER_24 |
transcript.pyannote[1238].start |
8314.15784375 |
transcript.pyannote[1238].end |
8316.67221875 |
transcript.pyannote[1239].speaker |
SPEAKER_24 |
transcript.pyannote[1239].start |
8317.34721875 |
transcript.pyannote[1239].end |
8317.65096875 |
transcript.pyannote[1240].speaker |
SPEAKER_15 |
transcript.pyannote[1240].start |
8317.65096875 |
transcript.pyannote[1240].end |
8324.60346875 |
transcript.pyannote[1241].speaker |
SPEAKER_15 |
transcript.pyannote[1241].start |
8325.12659375 |
transcript.pyannote[1241].end |
8333.54721875 |
transcript.pyannote[1242].speaker |
SPEAKER_15 |
transcript.pyannote[1242].start |
8333.86784375 |
transcript.pyannote[1242].end |
8340.73596875 |
transcript.pyannote[1243].speaker |
SPEAKER_24 |
transcript.pyannote[1243].start |
8336.09534375 |
transcript.pyannote[1243].end |
8337.91784375 |
transcript.pyannote[1244].speaker |
SPEAKER_24 |
transcript.pyannote[1244].start |
8340.73596875 |
transcript.pyannote[1244].end |
8341.24221875 |
transcript.pyannote[1245].speaker |
SPEAKER_15 |
transcript.pyannote[1245].start |
8341.24221875 |
transcript.pyannote[1245].end |
8341.81596875 |
transcript.pyannote[1246].speaker |
SPEAKER_24 |
transcript.pyannote[1246].start |
8341.81596875 |
transcript.pyannote[1246].end |
8341.84971875 |
transcript.pyannote[1247].speaker |
SPEAKER_15 |
transcript.pyannote[1247].start |
8341.84971875 |
transcript.pyannote[1247].end |
8341.86659375 |
transcript.pyannote[1248].speaker |
SPEAKER_24 |
transcript.pyannote[1248].start |
8341.86659375 |
transcript.pyannote[1248].end |
8345.44409375 |
transcript.pyannote[1249].speaker |
SPEAKER_24 |
transcript.pyannote[1249].start |
8345.71409375 |
transcript.pyannote[1249].end |
8355.75471875 |
transcript.pyannote[1250].speaker |
SPEAKER_15 |
transcript.pyannote[1250].start |
8346.27096875 |
transcript.pyannote[1250].end |
8346.92909375 |
transcript.pyannote[1251].speaker |
SPEAKER_24 |
transcript.pyannote[1251].start |
8355.97409375 |
transcript.pyannote[1251].end |
8357.25659375 |
transcript.pyannote[1252].speaker |
SPEAKER_24 |
transcript.pyannote[1252].start |
8357.62784375 |
transcript.pyannote[1252].end |
8358.97784375 |
transcript.pyannote[1253].speaker |
SPEAKER_24 |
transcript.pyannote[1253].start |
8359.58534375 |
transcript.pyannote[1253].end |
8359.85534375 |
transcript.pyannote[1254].speaker |
SPEAKER_24 |
transcript.pyannote[1254].start |
8360.27721875 |
transcript.pyannote[1254].end |
8363.65221875 |
transcript.pyannote[1255].speaker |
SPEAKER_24 |
transcript.pyannote[1255].start |
8364.09096875 |
transcript.pyannote[1255].end |
8366.99346875 |
transcript.pyannote[1256].speaker |
SPEAKER_24 |
transcript.pyannote[1256].start |
8367.41534375 |
transcript.pyannote[1256].end |
8369.27159375 |
transcript.pyannote[1257].speaker |
SPEAKER_24 |
transcript.pyannote[1257].start |
8369.49096875 |
transcript.pyannote[1257].end |
8370.43596875 |
transcript.pyannote[1258].speaker |
SPEAKER_24 |
transcript.pyannote[1258].start |
8370.73971875 |
transcript.pyannote[1258].end |
8371.88721875 |
transcript.pyannote[1259].speaker |
SPEAKER_24 |
transcript.pyannote[1259].start |
8371.97159375 |
transcript.pyannote[1259].end |
8373.03471875 |
transcript.pyannote[1260].speaker |
SPEAKER_24 |
transcript.pyannote[1260].start |
8373.08534375 |
transcript.pyannote[1260].end |
8374.35096875 |
transcript.pyannote[1261].speaker |
SPEAKER_24 |
transcript.pyannote[1261].start |
8374.92471875 |
transcript.pyannote[1261].end |
8377.33784375 |
transcript.pyannote[1262].speaker |
SPEAKER_15 |
transcript.pyannote[1262].start |
8377.92846875 |
transcript.pyannote[1262].end |
8378.28284375 |
transcript.pyannote[1263].speaker |
SPEAKER_15 |
transcript.pyannote[1263].start |
8378.94096875 |
transcript.pyannote[1263].end |
8380.03784375 |
transcript.pyannote[1264].speaker |
SPEAKER_24 |
transcript.pyannote[1264].start |
8380.03784375 |
transcript.pyannote[1264].end |
8380.18971875 |
transcript.pyannote[1265].speaker |
SPEAKER_24 |
transcript.pyannote[1265].start |
8380.71284375 |
transcript.pyannote[1265].end |
8384.30721875 |
transcript.pyannote[1266].speaker |
SPEAKER_15 |
transcript.pyannote[1266].start |
8384.30721875 |
transcript.pyannote[1266].end |
8384.56034375 |
transcript.pyannote[1267].speaker |
SPEAKER_24 |
transcript.pyannote[1267].start |
8384.56034375 |
transcript.pyannote[1267].end |
8387.19284375 |
transcript.pyannote[1268].speaker |
SPEAKER_24 |
transcript.pyannote[1268].start |
8387.59784375 |
transcript.pyannote[1268].end |
8388.17159375 |
transcript.pyannote[1269].speaker |
SPEAKER_24 |
transcript.pyannote[1269].start |
8388.42471875 |
transcript.pyannote[1269].end |
8391.25971875 |
transcript.pyannote[1270].speaker |
SPEAKER_24 |
transcript.pyannote[1270].start |
8391.68159375 |
transcript.pyannote[1270].end |
8395.15784375 |
transcript.pyannote[1271].speaker |
SPEAKER_24 |
transcript.pyannote[1271].start |
8395.51221875 |
transcript.pyannote[1271].end |
8396.84534375 |
transcript.pyannote[1272].speaker |
SPEAKER_24 |
transcript.pyannote[1272].start |
8397.13221875 |
transcript.pyannote[1272].end |
8400.22034375 |
transcript.pyannote[1273].speaker |
SPEAKER_24 |
transcript.pyannote[1273].start |
8401.09784375 |
transcript.pyannote[1273].end |
8402.02596875 |
transcript.pyannote[1274].speaker |
SPEAKER_24 |
transcript.pyannote[1274].start |
8402.38034375 |
transcript.pyannote[1274].end |
8404.94534375 |
transcript.pyannote[1275].speaker |
SPEAKER_15 |
transcript.pyannote[1275].start |
8402.97096875 |
transcript.pyannote[1275].end |
8402.98784375 |
transcript.pyannote[1276].speaker |
SPEAKER_20 |
transcript.pyannote[1276].start |
8402.98784375 |
transcript.pyannote[1276].end |
8403.44346875 |
transcript.pyannote[1277].speaker |
SPEAKER_24 |
transcript.pyannote[1277].start |
8406.41346875 |
transcript.pyannote[1277].end |
8408.60721875 |
transcript.pyannote[1278].speaker |
SPEAKER_24 |
transcript.pyannote[1278].start |
8408.97846875 |
transcript.pyannote[1278].end |
8411.00346875 |
transcript.pyannote[1279].speaker |
SPEAKER_24 |
transcript.pyannote[1279].start |
8411.67846875 |
transcript.pyannote[1279].end |
8414.49659375 |
transcript.pyannote[1280].speaker |
SPEAKER_24 |
transcript.pyannote[1280].start |
8415.01971875 |
transcript.pyannote[1280].end |
8418.66471875 |
transcript.pyannote[1281].speaker |
SPEAKER_20 |
transcript.pyannote[1281].start |
8418.73221875 |
transcript.pyannote[1281].end |
8419.15409375 |
transcript.pyannote[1282].speaker |
SPEAKER_24 |
transcript.pyannote[1282].start |
8419.15409375 |
transcript.pyannote[1282].end |
8422.17471875 |
transcript.pyannote[1283].speaker |
SPEAKER_20 |
transcript.pyannote[1283].start |
8422.17471875 |
transcript.pyannote[1283].end |
8422.49534375 |
transcript.pyannote[1284].speaker |
SPEAKER_24 |
transcript.pyannote[1284].start |
8422.46159375 |
transcript.pyannote[1284].end |
8424.45284375 |
transcript.pyannote[1285].speaker |
SPEAKER_20 |
transcript.pyannote[1285].start |
8424.94221875 |
transcript.pyannote[1285].end |
8425.34721875 |
transcript.pyannote[1286].speaker |
SPEAKER_24 |
transcript.pyannote[1286].start |
8425.34721875 |
transcript.pyannote[1286].end |
8427.25409375 |
transcript.pyannote[1287].speaker |
SPEAKER_24 |
transcript.pyannote[1287].start |
8427.76034375 |
transcript.pyannote[1287].end |
8429.24534375 |
transcript.pyannote[1288].speaker |
SPEAKER_24 |
transcript.pyannote[1288].start |
8429.49846875 |
transcript.pyannote[1288].end |
8431.86096875 |
transcript.pyannote[1289].speaker |
SPEAKER_25 |
transcript.pyannote[1289].start |
8432.14784375 |
transcript.pyannote[1289].end |
8432.48534375 |
transcript.pyannote[1290].speaker |
SPEAKER_24 |
transcript.pyannote[1290].start |
8432.38409375 |
transcript.pyannote[1290].end |
8433.54846875 |
transcript.pyannote[1291].speaker |
SPEAKER_24 |
transcript.pyannote[1291].start |
8434.10534375 |
transcript.pyannote[1291].end |
8437.15971875 |
transcript.pyannote[1292].speaker |
SPEAKER_24 |
transcript.pyannote[1292].start |
8437.44659375 |
transcript.pyannote[1292].end |
8442.67784375 |
transcript.pyannote[1293].speaker |
SPEAKER_24 |
transcript.pyannote[1293].start |
8443.65659375 |
transcript.pyannote[1293].end |
8447.30159375 |
transcript.pyannote[1294].speaker |
SPEAKER_20 |
transcript.pyannote[1294].start |
8447.30159375 |
transcript.pyannote[1294].end |
8447.67284375 |
transcript.pyannote[1295].speaker |
SPEAKER_24 |
transcript.pyannote[1295].start |
8447.67284375 |
transcript.pyannote[1295].end |
8448.98909375 |
transcript.pyannote[1296].speaker |
SPEAKER_24 |
transcript.pyannote[1296].start |
8449.36034375 |
transcript.pyannote[1296].end |
8462.69159375 |
transcript.pyannote[1297].speaker |
SPEAKER_24 |
transcript.pyannote[1297].start |
8463.40034375 |
transcript.pyannote[1297].end |
8466.04971875 |
transcript.pyannote[1298].speaker |
SPEAKER_24 |
transcript.pyannote[1298].start |
8466.67409375 |
transcript.pyannote[1298].end |
8468.83409375 |
transcript.pyannote[1299].speaker |
SPEAKER_24 |
transcript.pyannote[1299].start |
8469.62721875 |
transcript.pyannote[1299].end |
8470.20096875 |
transcript.pyannote[1300].speaker |
SPEAKER_24 |
transcript.pyannote[1300].start |
8470.45409375 |
transcript.pyannote[1300].end |
8475.24659375 |
transcript.pyannote[1301].speaker |
SPEAKER_24 |
transcript.pyannote[1301].start |
8475.60096875 |
transcript.pyannote[1301].end |
8484.46034375 |
transcript.pyannote[1302].speaker |
SPEAKER_24 |
transcript.pyannote[1302].start |
8484.79784375 |
transcript.pyannote[1302].end |
8488.07159375 |
transcript.pyannote[1303].speaker |
SPEAKER_24 |
transcript.pyannote[1303].start |
8488.56096875 |
transcript.pyannote[1303].end |
8489.35409375 |
transcript.pyannote[1304].speaker |
SPEAKER_24 |
transcript.pyannote[1304].start |
8489.59034375 |
transcript.pyannote[1304].end |
8494.23096875 |
transcript.pyannote[1305].speaker |
SPEAKER_24 |
transcript.pyannote[1305].start |
8494.48409375 |
transcript.pyannote[1305].end |
8496.67784375 |
transcript.pyannote[1306].speaker |
SPEAKER_24 |
transcript.pyannote[1306].start |
8496.98159375 |
transcript.pyannote[1306].end |
8504.00159375 |
transcript.pyannote[1307].speaker |
SPEAKER_24 |
transcript.pyannote[1307].start |
8504.50784375 |
transcript.pyannote[1307].end |
8508.01784375 |
transcript.pyannote[1308].speaker |
SPEAKER_24 |
transcript.pyannote[1308].start |
8508.72659375 |
transcript.pyannote[1308].end |
8511.42659375 |
transcript.pyannote[1309].speaker |
SPEAKER_24 |
transcript.pyannote[1309].start |
8512.05096875 |
transcript.pyannote[1309].end |
8525.92221875 |
transcript.pyannote[1310].speaker |
SPEAKER_24 |
transcript.pyannote[1310].start |
8526.32721875 |
transcript.pyannote[1310].end |
8529.90471875 |
transcript.pyannote[1311].speaker |
SPEAKER_24 |
transcript.pyannote[1311].start |
8530.30971875 |
transcript.pyannote[1311].end |
8532.67221875 |
transcript.pyannote[1312].speaker |
SPEAKER_24 |
transcript.pyannote[1312].start |
8533.36409375 |
transcript.pyannote[1312].end |
8536.03034375 |
transcript.pyannote[1313].speaker |
SPEAKER_24 |
transcript.pyannote[1313].start |
8536.84034375 |
transcript.pyannote[1313].end |
8537.75159375 |
transcript.pyannote[1314].speaker |
SPEAKER_24 |
transcript.pyannote[1314].start |
8538.62909375 |
transcript.pyannote[1314].end |
8538.98346875 |
transcript.pyannote[1315].speaker |
SPEAKER_15 |
transcript.pyannote[1315].start |
8538.98346875 |
transcript.pyannote[1315].end |
8539.03409375 |
transcript.pyannote[1316].speaker |
SPEAKER_24 |
transcript.pyannote[1316].start |
8539.52346875 |
transcript.pyannote[1316].end |
8539.96221875 |
transcript.pyannote[1317].speaker |
SPEAKER_15 |
transcript.pyannote[1317].start |
8539.96221875 |
transcript.pyannote[1317].end |
8549.02409375 |
transcript.pyannote[1318].speaker |
SPEAKER_24 |
transcript.pyannote[1318].start |
8547.70784375 |
transcript.pyannote[1318].end |
8551.92659375 |
transcript.pyannote[1319].speaker |
SPEAKER_24 |
transcript.pyannote[1319].start |
8552.71971875 |
transcript.pyannote[1319].end |
8553.95159375 |
transcript.pyannote[1320].speaker |
SPEAKER_24 |
transcript.pyannote[1320].start |
8554.42409375 |
transcript.pyannote[1320].end |
8556.43221875 |
transcript.pyannote[1321].speaker |
SPEAKER_24 |
transcript.pyannote[1321].start |
8556.70221875 |
transcript.pyannote[1321].end |
8558.33909375 |
transcript.pyannote[1322].speaker |
SPEAKER_24 |
transcript.pyannote[1322].start |
8558.71034375 |
transcript.pyannote[1322].end |
8565.78096875 |
transcript.pyannote[1323].speaker |
SPEAKER_24 |
transcript.pyannote[1323].start |
8566.15221875 |
transcript.pyannote[1323].end |
8569.34159375 |
transcript.pyannote[1324].speaker |
SPEAKER_24 |
transcript.pyannote[1324].start |
8569.64534375 |
transcript.pyannote[1324].end |
8572.86846875 |
transcript.pyannote[1325].speaker |
SPEAKER_24 |
transcript.pyannote[1325].start |
8573.59409375 |
transcript.pyannote[1325].end |
8573.93159375 |
transcript.pyannote[1326].speaker |
SPEAKER_24 |
transcript.pyannote[1326].start |
8574.20159375 |
transcript.pyannote[1326].end |
8575.33221875 |
transcript.pyannote[1327].speaker |
SPEAKER_24 |
transcript.pyannote[1327].start |
8575.82159375 |
transcript.pyannote[1327].end |
8579.16284375 |
transcript.pyannote[1328].speaker |
SPEAKER_24 |
transcript.pyannote[1328].start |
8579.31471875 |
transcript.pyannote[1328].end |
8580.91784375 |
transcript.pyannote[1329].speaker |
SPEAKER_24 |
transcript.pyannote[1329].start |
8581.60971875 |
transcript.pyannote[1329].end |
8582.79096875 |
transcript.pyannote[1330].speaker |
SPEAKER_24 |
transcript.pyannote[1330].start |
8582.87534375 |
transcript.pyannote[1330].end |
8583.21284375 |
transcript.pyannote[1331].speaker |
SPEAKER_24 |
transcript.pyannote[1331].start |
8583.60096875 |
transcript.pyannote[1331].end |
8586.38534375 |
transcript.pyannote[1332].speaker |
SPEAKER_24 |
transcript.pyannote[1332].start |
8586.92534375 |
transcript.pyannote[1332].end |
8588.15721875 |
transcript.pyannote[1333].speaker |
SPEAKER_24 |
transcript.pyannote[1333].start |
8588.57909375 |
transcript.pyannote[1333].end |
8591.54909375 |
transcript.pyannote[1334].speaker |
SPEAKER_24 |
transcript.pyannote[1334].start |
8592.12284375 |
transcript.pyannote[1334].end |
8593.54034375 |
transcript.pyannote[1335].speaker |
SPEAKER_24 |
transcript.pyannote[1335].start |
8594.23221875 |
transcript.pyannote[1335].end |
8598.02909375 |
transcript.pyannote[1336].speaker |
SPEAKER_24 |
transcript.pyannote[1336].start |
8598.16409375 |
transcript.pyannote[1336].end |
8609.08221875 |
transcript.pyannote[1337].speaker |
SPEAKER_24 |
transcript.pyannote[1337].start |
8609.36909375 |
transcript.pyannote[1337].end |
8612.00159375 |
transcript.pyannote[1338].speaker |
SPEAKER_24 |
transcript.pyannote[1338].start |
8612.67659375 |
transcript.pyannote[1338].end |
8614.04346875 |
transcript.pyannote[1339].speaker |
SPEAKER_24 |
transcript.pyannote[1339].start |
8614.34721875 |
transcript.pyannote[1339].end |
8614.85346875 |
transcript.pyannote[1340].speaker |
SPEAKER_24 |
transcript.pyannote[1340].start |
8615.14034375 |
transcript.pyannote[1340].end |
8620.64159375 |
transcript.pyannote[1341].speaker |
SPEAKER_24 |
transcript.pyannote[1341].start |
8621.36721875 |
transcript.pyannote[1341].end |
8628.67409375 |
transcript.pyannote[1342].speaker |
SPEAKER_24 |
transcript.pyannote[1342].start |
8629.39971875 |
transcript.pyannote[1342].end |
8630.80034375 |
transcript.pyannote[1343].speaker |
SPEAKER_24 |
transcript.pyannote[1343].start |
8631.28971875 |
transcript.pyannote[1343].end |
8636.36909375 |
transcript.pyannote[1344].speaker |
SPEAKER_24 |
transcript.pyannote[1344].start |
8637.04409375 |
transcript.pyannote[1344].end |
8643.59159375 |
transcript.pyannote[1345].speaker |
SPEAKER_24 |
transcript.pyannote[1345].start |
8643.99659375 |
transcript.pyannote[1345].end |
8655.28596875 |
transcript.pyannote[1346].speaker |
SPEAKER_24 |
transcript.pyannote[1346].start |
8656.04534375 |
transcript.pyannote[1346].end |
8657.90159375 |
transcript.pyannote[1347].speaker |
SPEAKER_24 |
transcript.pyannote[1347].start |
8658.42471875 |
transcript.pyannote[1347].end |
8660.24721875 |
transcript.pyannote[1348].speaker |
SPEAKER_24 |
transcript.pyannote[1348].start |
8660.51721875 |
transcript.pyannote[1348].end |
8662.42409375 |
transcript.pyannote[1349].speaker |
SPEAKER_15 |
transcript.pyannote[1349].start |
8662.42409375 |
transcript.pyannote[1349].end |
8662.44096875 |
transcript.pyannote[1350].speaker |
SPEAKER_24 |
transcript.pyannote[1350].start |
8663.52096875 |
transcript.pyannote[1350].end |
8663.60534375 |
transcript.pyannote[1351].speaker |
SPEAKER_15 |
transcript.pyannote[1351].start |
8663.60534375 |
transcript.pyannote[1351].end |
8663.74034375 |
transcript.pyannote[1352].speaker |
SPEAKER_24 |
transcript.pyannote[1352].start |
8663.74034375 |
transcript.pyannote[1352].end |
8663.77409375 |
transcript.pyannote[1353].speaker |
SPEAKER_15 |
transcript.pyannote[1353].start |
8663.77409375 |
transcript.pyannote[1353].end |
8663.84159375 |
transcript.pyannote[1354].speaker |
SPEAKER_15 |
transcript.pyannote[1354].start |
8664.29721875 |
transcript.pyannote[1354].end |
8671.03034375 |
transcript.pyannote[1355].speaker |
SPEAKER_24 |
transcript.pyannote[1355].start |
8671.03034375 |
transcript.pyannote[1355].end |
8674.06784375 |
transcript.pyannote[1356].speaker |
SPEAKER_15 |
transcript.pyannote[1356].start |
8673.24096875 |
transcript.pyannote[1356].end |
8673.56159375 |
transcript.pyannote[1357].speaker |
SPEAKER_24 |
transcript.pyannote[1357].start |
8675.14784375 |
transcript.pyannote[1357].end |
8684.34471875 |
transcript.pyannote[1358].speaker |
SPEAKER_15 |
transcript.pyannote[1358].start |
8675.16471875 |
transcript.pyannote[1358].end |
8675.56971875 |
transcript.pyannote[1359].speaker |
SPEAKER_15 |
transcript.pyannote[1359].start |
8677.88159375 |
transcript.pyannote[1359].end |
8678.35409375 |
transcript.pyannote[1360].speaker |
SPEAKER_24 |
transcript.pyannote[1360].start |
8684.69909375 |
transcript.pyannote[1360].end |
8690.92596875 |
transcript.pyannote[1361].speaker |
SPEAKER_24 |
transcript.pyannote[1361].start |
8691.44909375 |
transcript.pyannote[1361].end |
8692.25909375 |
transcript.pyannote[1362].speaker |
SPEAKER_24 |
transcript.pyannote[1362].start |
8693.11971875 |
transcript.pyannote[1362].end |
8693.71034375 |
transcript.pyannote[1363].speaker |
SPEAKER_24 |
transcript.pyannote[1363].start |
8693.98034375 |
transcript.pyannote[1363].end |
8694.62159375 |
transcript.pyannote[1364].speaker |
SPEAKER_24 |
transcript.pyannote[1364].start |
8696.35971875 |
transcript.pyannote[1364].end |
8697.54096875 |
transcript.pyannote[1365].speaker |
SPEAKER_24 |
transcript.pyannote[1365].start |
8697.79409375 |
transcript.pyannote[1365].end |
8699.36346875 |
transcript.pyannote[1366].speaker |
SPEAKER_24 |
transcript.pyannote[1366].start |
8700.66284375 |
transcript.pyannote[1366].end |
8701.72596875 |
transcript.pyannote[1367].speaker |
SPEAKER_24 |
transcript.pyannote[1367].start |
8702.46846875 |
transcript.pyannote[1367].end |
8703.04221875 |
transcript.pyannote[1368].speaker |
SPEAKER_24 |
transcript.pyannote[1368].start |
8704.62846875 |
transcript.pyannote[1368].end |
8706.26534375 |
transcript.pyannote[1369].speaker |
SPEAKER_24 |
transcript.pyannote[1369].start |
8706.65346875 |
transcript.pyannote[1369].end |
8708.50971875 |
transcript.pyannote[1370].speaker |
SPEAKER_24 |
transcript.pyannote[1370].start |
8709.10034375 |
transcript.pyannote[1370].end |
8711.64846875 |
transcript.pyannote[1371].speaker |
SPEAKER_24 |
transcript.pyannote[1371].start |
8711.98596875 |
transcript.pyannote[1371].end |
8715.46221875 |
transcript.pyannote[1372].speaker |
SPEAKER_24 |
transcript.pyannote[1372].start |
8716.54221875 |
transcript.pyannote[1372].end |
8716.82909375 |
transcript.pyannote[1373].speaker |
SPEAKER_24 |
transcript.pyannote[1373].start |
8717.20034375 |
transcript.pyannote[1373].end |
8719.30971875 |
transcript.pyannote[1374].speaker |
SPEAKER_24 |
transcript.pyannote[1374].start |
8719.66409375 |
transcript.pyannote[1374].end |
8722.93784375 |
transcript.pyannote[1375].speaker |
SPEAKER_24 |
transcript.pyannote[1375].start |
8723.19096875 |
transcript.pyannote[1375].end |
8726.02596875 |
transcript.pyannote[1376].speaker |
SPEAKER_24 |
transcript.pyannote[1376].start |
8726.58284375 |
transcript.pyannote[1376].end |
8727.56159375 |
transcript.pyannote[1377].speaker |
SPEAKER_24 |
transcript.pyannote[1377].start |
8728.18596875 |
transcript.pyannote[1377].end |
8736.18471875 |
transcript.pyannote[1378].speaker |
SPEAKER_24 |
transcript.pyannote[1378].start |
8736.74159375 |
transcript.pyannote[1378].end |
8738.95221875 |
transcript.pyannote[1379].speaker |
SPEAKER_24 |
transcript.pyannote[1379].start |
8739.54284375 |
transcript.pyannote[1379].end |
8740.25159375 |
transcript.pyannote[1380].speaker |
SPEAKER_24 |
transcript.pyannote[1380].start |
8740.60596875 |
transcript.pyannote[1380].end |
8741.14596875 |
transcript.pyannote[1381].speaker |
SPEAKER_24 |
transcript.pyannote[1381].start |
8741.98971875 |
transcript.pyannote[1381].end |
8742.66471875 |
transcript.pyannote[1382].speaker |
SPEAKER_24 |
transcript.pyannote[1382].start |
8743.01909375 |
transcript.pyannote[1382].end |
8743.94721875 |
transcript.pyannote[1383].speaker |
SPEAKER_24 |
transcript.pyannote[1383].start |
8744.06534375 |
transcript.pyannote[1383].end |
8745.55034375 |
transcript.pyannote[1384].speaker |
SPEAKER_24 |
transcript.pyannote[1384].start |
8747.00159375 |
transcript.pyannote[1384].end |
8750.12346875 |
transcript.pyannote[1385].speaker |
SPEAKER_15 |
transcript.pyannote[1385].start |
8750.12346875 |
transcript.pyannote[1385].end |
8750.14034375 |
transcript.pyannote[1386].speaker |
SPEAKER_24 |
transcript.pyannote[1386].start |
8751.08534375 |
transcript.pyannote[1386].end |
8751.11909375 |
transcript.pyannote[1387].speaker |
SPEAKER_15 |
transcript.pyannote[1387].start |
8751.11909375 |
transcript.pyannote[1387].end |
8754.84846875 |
transcript.pyannote[1388].speaker |
SPEAKER_24 |
transcript.pyannote[1388].start |
8756.31659375 |
transcript.pyannote[1388].end |
8757.73409375 |
transcript.pyannote[1389].speaker |
SPEAKER_24 |
transcript.pyannote[1389].start |
8758.35846875 |
transcript.pyannote[1389].end |
8759.50596875 |
transcript.pyannote[1390].speaker |
SPEAKER_24 |
transcript.pyannote[1390].start |
8759.99534375 |
transcript.pyannote[1390].end |
8761.41284375 |
transcript.pyannote[1391].speaker |
SPEAKER_24 |
transcript.pyannote[1391].start |
8762.15534375 |
transcript.pyannote[1391].end |
8762.64471875 |
transcript.pyannote[1392].speaker |
SPEAKER_24 |
transcript.pyannote[1392].start |
8763.01596875 |
transcript.pyannote[1392].end |
8765.88471875 |
transcript.pyannote[1393].speaker |
SPEAKER_24 |
transcript.pyannote[1393].start |
8766.18846875 |
transcript.pyannote[1393].end |
8766.82971875 |
transcript.pyannote[1394].speaker |
SPEAKER_24 |
transcript.pyannote[1394].start |
8766.99846875 |
transcript.pyannote[1394].end |
8771.01471875 |
transcript.pyannote[1395].speaker |
SPEAKER_24 |
transcript.pyannote[1395].start |
8771.62221875 |
transcript.pyannote[1395].end |
8772.53346875 |
transcript.pyannote[1396].speaker |
SPEAKER_24 |
transcript.pyannote[1396].start |
8773.14096875 |
transcript.pyannote[1396].end |
8782.59096875 |
transcript.pyannote[1397].speaker |
SPEAKER_24 |
transcript.pyannote[1397].start |
8783.29971875 |
transcript.pyannote[1397].end |
8784.66659375 |
transcript.pyannote[1398].speaker |
SPEAKER_24 |
transcript.pyannote[1398].start |
8784.86909375 |
transcript.pyannote[1398].end |
8785.47659375 |
transcript.pyannote[1399].speaker |
SPEAKER_24 |
transcript.pyannote[1399].start |
8785.93221875 |
transcript.pyannote[1399].end |
8786.97846875 |
transcript.pyannote[1400].speaker |
SPEAKER_24 |
transcript.pyannote[1400].start |
8787.29909375 |
transcript.pyannote[1400].end |
8796.17534375 |
transcript.pyannote[1401].speaker |
SPEAKER_24 |
transcript.pyannote[1401].start |
8796.39471875 |
transcript.pyannote[1401].end |
8797.71096875 |
transcript.pyannote[1402].speaker |
SPEAKER_24 |
transcript.pyannote[1402].start |
8797.94721875 |
transcript.pyannote[1402].end |
8798.85846875 |
transcript.pyannote[1403].speaker |
SPEAKER_24 |
transcript.pyannote[1403].start |
8799.43221875 |
transcript.pyannote[1403].end |
8799.76971875 |
transcript.pyannote[1404].speaker |
SPEAKER_15 |
transcript.pyannote[1404].start |
8799.76971875 |
transcript.pyannote[1404].end |
8800.15784375 |
transcript.pyannote[1405].speaker |
SPEAKER_24 |
transcript.pyannote[1405].start |
8801.27159375 |
transcript.pyannote[1405].end |
8801.54159375 |
transcript.pyannote[1406].speaker |
SPEAKER_15 |
transcript.pyannote[1406].start |
8801.54159375 |
transcript.pyannote[1406].end |
8804.17409375 |
transcript.pyannote[1407].speaker |
SPEAKER_24 |
transcript.pyannote[1407].start |
8803.02659375 |
transcript.pyannote[1407].end |
8803.53284375 |
transcript.pyannote[1408].speaker |
SPEAKER_15 |
transcript.pyannote[1408].start |
8804.51159375 |
transcript.pyannote[1408].end |
8806.90784375 |
transcript.pyannote[1409].speaker |
SPEAKER_15 |
transcript.pyannote[1409].start |
8807.58284375 |
transcript.pyannote[1409].end |
8808.30846875 |
transcript.pyannote[1410].speaker |
SPEAKER_15 |
transcript.pyannote[1410].start |
8809.27034375 |
transcript.pyannote[1410].end |
8818.65284375 |
transcript.pyannote[1411].speaker |
SPEAKER_24 |
transcript.pyannote[1411].start |
8817.45471875 |
transcript.pyannote[1411].end |
8825.31846875 |
transcript.pyannote[1412].speaker |
SPEAKER_24 |
transcript.pyannote[1412].start |
8825.97659375 |
transcript.pyannote[1412].end |
8830.95471875 |
transcript.pyannote[1413].speaker |
SPEAKER_24 |
transcript.pyannote[1413].start |
8831.89971875 |
transcript.pyannote[1413].end |
8833.67159375 |
transcript.pyannote[1414].speaker |
SPEAKER_15 |
transcript.pyannote[1414].start |
8831.93346875 |
transcript.pyannote[1414].end |
8836.03409375 |
transcript.pyannote[1415].speaker |
SPEAKER_24 |
transcript.pyannote[1415].start |
8833.72221875 |
transcript.pyannote[1415].end |
8833.73909375 |
transcript.pyannote[1416].speaker |
SPEAKER_24 |
transcript.pyannote[1416].start |
8833.77284375 |
transcript.pyannote[1416].end |
8833.87409375 |
transcript.pyannote[1417].speaker |
SPEAKER_24 |
transcript.pyannote[1417].start |
8836.92846875 |
transcript.pyannote[1417].end |
8840.35409375 |
transcript.pyannote[1418].speaker |
SPEAKER_24 |
transcript.pyannote[1418].start |
8840.77596875 |
transcript.pyannote[1418].end |
8841.43409375 |
transcript.pyannote[1419].speaker |
SPEAKER_24 |
transcript.pyannote[1419].start |
8841.78846875 |
transcript.pyannote[1419].end |
8843.50971875 |
transcript.pyannote[1420].speaker |
SPEAKER_24 |
transcript.pyannote[1420].start |
8843.59409375 |
transcript.pyannote[1420].end |
8851.89659375 |
transcript.pyannote[1421].speaker |
SPEAKER_25 |
transcript.pyannote[1421].start |
8851.17096875 |
transcript.pyannote[1421].end |
8851.35659375 |
transcript.pyannote[1422].speaker |
SPEAKER_24 |
transcript.pyannote[1422].start |
8852.28471875 |
transcript.pyannote[1422].end |
8862.03846875 |
transcript.pyannote[1423].speaker |
SPEAKER_00 |
transcript.pyannote[1423].start |
8859.49034375 |
transcript.pyannote[1423].end |
8859.64221875 |
transcript.pyannote[1424].speaker |
SPEAKER_15 |
transcript.pyannote[1424].start |
8859.64221875 |
transcript.pyannote[1424].end |
8859.69284375 |
transcript.pyannote[1425].speaker |
SPEAKER_15 |
transcript.pyannote[1425].start |
8862.03846875 |
transcript.pyannote[1425].end |
8862.86534375 |
transcript.pyannote[1426].speaker |
SPEAKER_24 |
transcript.pyannote[1426].start |
8862.86534375 |
transcript.pyannote[1426].end |
8862.93284375 |
transcript.pyannote[1427].speaker |
SPEAKER_00 |
transcript.pyannote[1427].start |
8862.93284375 |
transcript.pyannote[1427].end |
8880.71909375 |
transcript.pyannote[1428].speaker |
SPEAKER_00 |
transcript.pyannote[1428].start |
8883.63846875 |
transcript.pyannote[1428].end |
8886.62534375 |
transcript.pyannote[1429].speaker |
SPEAKER_00 |
transcript.pyannote[1429].start |
8887.97534375 |
transcript.pyannote[1429].end |
8889.30846875 |
transcript.pyannote[1430].speaker |
SPEAKER_24 |
transcript.pyannote[1430].start |
8889.57846875 |
transcript.pyannote[1430].end |
8889.62909375 |
transcript.pyannote[1431].speaker |
SPEAKER_24 |
transcript.pyannote[1431].start |
8890.75971875 |
transcript.pyannote[1431].end |
8894.47221875 |
transcript.pyannote[1432].speaker |
SPEAKER_00 |
transcript.pyannote[1432].start |
8895.31596875 |
transcript.pyannote[1432].end |
8896.73346875 |
transcript.pyannote[1433].speaker |
SPEAKER_00 |
transcript.pyannote[1433].start |
8896.96971875 |
transcript.pyannote[1433].end |
8897.03721875 |
transcript.pyannote[1434].speaker |
SPEAKER_00 |
transcript.pyannote[1434].start |
8897.05409375 |
transcript.pyannote[1434].end |
8904.96846875 |
transcript.pyannote[1435].speaker |
SPEAKER_16 |
transcript.pyannote[1435].start |
8910.70596875 |
transcript.pyannote[1435].end |
8912.41034375 |
transcript.pyannote[1436].speaker |
SPEAKER_16 |
transcript.pyannote[1436].start |
8912.69721875 |
transcript.pyannote[1436].end |
8920.96596875 |
transcript.pyannote[1437].speaker |
SPEAKER_16 |
transcript.pyannote[1437].start |
8928.76221875 |
transcript.pyannote[1437].end |
8934.16221875 |
transcript.pyannote[1438].speaker |
SPEAKER_16 |
transcript.pyannote[1438].start |
8934.53346875 |
transcript.pyannote[1438].end |
8946.78471875 |
transcript.pyannote[1439].speaker |
SPEAKER_16 |
transcript.pyannote[1439].start |
8947.54409375 |
transcript.pyannote[1439].end |
8957.78721875 |
transcript.pyannote[1440].speaker |
SPEAKER_16 |
transcript.pyannote[1440].start |
8958.90096875 |
transcript.pyannote[1440].end |
8960.47034375 |
transcript.pyannote[1441].speaker |
SPEAKER_16 |
transcript.pyannote[1441].start |
8960.70659375 |
transcript.pyannote[1441].end |
8974.98284375 |
transcript.pyannote[1442].speaker |
SPEAKER_16 |
transcript.pyannote[1442].start |
8975.20221875 |
transcript.pyannote[1442].end |
8975.89409375 |
transcript.pyannote[1443].speaker |
SPEAKER_16 |
transcript.pyannote[1443].start |
8976.01221875 |
transcript.pyannote[1443].end |
8981.81721875 |
transcript.pyannote[1444].speaker |
SPEAKER_16 |
transcript.pyannote[1444].start |
8981.91846875 |
transcript.pyannote[1444].end |
8983.65659375 |
transcript.pyannote[1445].speaker |
SPEAKER_16 |
transcript.pyannote[1445].start |
8984.51721875 |
transcript.pyannote[1445].end |
8992.43159375 |
transcript.pyannote[1446].speaker |
SPEAKER_16 |
transcript.pyannote[1446].start |
8993.34284375 |
transcript.pyannote[1446].end |
8993.68034375 |
transcript.pyannote[1447].speaker |
SPEAKER_15 |
transcript.pyannote[1447].start |
8993.68034375 |
transcript.pyannote[1447].end |
8993.69721875 |
transcript.pyannote[1448].speaker |
SPEAKER_15 |
transcript.pyannote[1448].start |
8994.06846875 |
transcript.pyannote[1448].end |
9008.15909375 |
transcript.pyannote[1449].speaker |
SPEAKER_14 |
transcript.pyannote[1449].start |
8997.81471875 |
transcript.pyannote[1449].end |
8998.28721875 |
transcript.pyannote[1450].speaker |
SPEAKER_14 |
transcript.pyannote[1450].start |
9004.02471875 |
transcript.pyannote[1450].end |
9004.04159375 |
transcript.pyannote[1451].speaker |
SPEAKER_20 |
transcript.pyannote[1451].start |
9004.04159375 |
transcript.pyannote[1451].end |
9004.05846875 |
transcript.pyannote[1452].speaker |
SPEAKER_16 |
transcript.pyannote[1452].start |
9004.05846875 |
transcript.pyannote[1452].end |
9004.32846875 |
transcript.pyannote[1453].speaker |
SPEAKER_20 |
transcript.pyannote[1453].start |
9004.32846875 |
transcript.pyannote[1453].end |
9004.36221875 |
transcript.pyannote[1454].speaker |
SPEAKER_14 |
transcript.pyannote[1454].start |
9004.36221875 |
transcript.pyannote[1454].end |
9004.39596875 |
transcript.pyannote[1455].speaker |
SPEAKER_16 |
transcript.pyannote[1455].start |
9008.15909375 |
transcript.pyannote[1455].end |
9021.65909375 |
transcript.pyannote[1456].speaker |
SPEAKER_22 |
transcript.pyannote[1456].start |
9019.44846875 |
transcript.pyannote[1456].end |
9019.46534375 |
transcript.pyannote[1457].speaker |
SPEAKER_15 |
transcript.pyannote[1457].start |
9019.46534375 |
transcript.pyannote[1457].end |
9021.49034375 |
transcript.pyannote[1458].speaker |
SPEAKER_15 |
transcript.pyannote[1458].start |
9021.65909375 |
transcript.pyannote[1458].end |
9021.72659375 |
transcript.pyannote[1459].speaker |
SPEAKER_16 |
transcript.pyannote[1459].start |
9021.72659375 |
transcript.pyannote[1459].end |
9028.29096875 |
transcript.pyannote[1460].speaker |
SPEAKER_16 |
transcript.pyannote[1460].start |
9028.86471875 |
transcript.pyannote[1460].end |
9031.73346875 |
transcript.pyannote[1461].speaker |
SPEAKER_15 |
transcript.pyannote[1461].start |
9028.98284375 |
transcript.pyannote[1461].end |
9029.05034375 |
transcript.pyannote[1462].speaker |
SPEAKER_15 |
transcript.pyannote[1462].start |
9029.38784375 |
transcript.pyannote[1462].end |
9029.55659375 |
transcript.pyannote[1463].speaker |
SPEAKER_15 |
transcript.pyannote[1463].start |
9030.31596875 |
transcript.pyannote[1463].end |
9030.97409375 |
transcript.pyannote[1464].speaker |
SPEAKER_15 |
transcript.pyannote[1464].start |
9031.73346875 |
transcript.pyannote[1464].end |
9035.54721875 |
transcript.pyannote[1465].speaker |
SPEAKER_16 |
transcript.pyannote[1465].start |
9032.12159375 |
transcript.pyannote[1465].end |
9033.11721875 |
transcript.pyannote[1466].speaker |
SPEAKER_15 |
transcript.pyannote[1466].start |
9035.66534375 |
transcript.pyannote[1466].end |
9039.41159375 |
transcript.pyannote[1467].speaker |
SPEAKER_16 |
transcript.pyannote[1467].start |
9037.75784375 |
transcript.pyannote[1467].end |
9042.19596875 |
transcript.pyannote[1468].speaker |
SPEAKER_15 |
transcript.pyannote[1468].start |
9041.72346875 |
transcript.pyannote[1468].end |
9047.79846875 |
transcript.pyannote[1469].speaker |
SPEAKER_16 |
transcript.pyannote[1469].start |
9042.73596875 |
transcript.pyannote[1469].end |
9043.76534375 |
transcript.pyannote[1470].speaker |
SPEAKER_16 |
transcript.pyannote[1470].start |
9046.98846875 |
transcript.pyannote[1470].end |
9056.25284375 |
transcript.pyannote[1471].speaker |
SPEAKER_15 |
transcript.pyannote[1471].start |
9055.78034375 |
transcript.pyannote[1471].end |
9057.06284375 |
transcript.pyannote[1472].speaker |
SPEAKER_16 |
transcript.pyannote[1472].start |
9056.69159375 |
transcript.pyannote[1472].end |
9056.91096875 |
transcript.pyannote[1473].speaker |
SPEAKER_16 |
transcript.pyannote[1473].start |
9057.06284375 |
transcript.pyannote[1473].end |
9057.40034375 |
transcript.pyannote[1474].speaker |
SPEAKER_15 |
transcript.pyannote[1474].start |
9057.40034375 |
transcript.pyannote[1474].end |
9057.45096875 |
transcript.pyannote[1475].speaker |
SPEAKER_16 |
transcript.pyannote[1475].start |
9057.45096875 |
transcript.pyannote[1475].end |
9061.06221875 |
transcript.pyannote[1476].speaker |
SPEAKER_15 |
transcript.pyannote[1476].start |
9060.58971875 |
transcript.pyannote[1476].end |
9063.37409375 |
transcript.pyannote[1477].speaker |
SPEAKER_16 |
transcript.pyannote[1477].start |
9061.43346875 |
transcript.pyannote[1477].end |
9063.22221875 |
transcript.pyannote[1478].speaker |
SPEAKER_16 |
transcript.pyannote[1478].start |
9063.37409375 |
transcript.pyannote[1478].end |
9063.44159375 |
transcript.pyannote[1479].speaker |
SPEAKER_16 |
transcript.pyannote[1479].start |
9063.55971875 |
transcript.pyannote[1479].end |
9066.61409375 |
transcript.pyannote[1480].speaker |
SPEAKER_16 |
transcript.pyannote[1480].start |
9067.01909375 |
transcript.pyannote[1480].end |
9067.96409375 |
transcript.pyannote[1481].speaker |
SPEAKER_15 |
transcript.pyannote[1481].start |
9067.96409375 |
transcript.pyannote[1481].end |
9069.75284375 |
transcript.pyannote[1482].speaker |
SPEAKER_15 |
transcript.pyannote[1482].start |
9070.07346875 |
transcript.pyannote[1482].end |
9071.40659375 |
transcript.pyannote[1483].speaker |
SPEAKER_15 |
transcript.pyannote[1483].start |
9071.67659375 |
transcript.pyannote[1483].end |
9079.82721875 |
transcript.pyannote[1484].speaker |
SPEAKER_15 |
transcript.pyannote[1484].start |
9080.31659375 |
transcript.pyannote[1484].end |
9088.19721875 |
transcript.pyannote[1485].speaker |
SPEAKER_16 |
transcript.pyannote[1485].start |
9087.69096875 |
transcript.pyannote[1485].end |
9090.99846875 |
transcript.pyannote[1486].speaker |
SPEAKER_16 |
transcript.pyannote[1486].start |
9091.20096875 |
transcript.pyannote[1486].end |
9092.90534375 |
transcript.pyannote[1487].speaker |
SPEAKER_15 |
transcript.pyannote[1487].start |
9092.90534375 |
transcript.pyannote[1487].end |
9093.05721875 |
transcript.pyannote[1488].speaker |
SPEAKER_16 |
transcript.pyannote[1488].start |
9093.05721875 |
transcript.pyannote[1488].end |
9093.88409375 |
transcript.pyannote[1489].speaker |
SPEAKER_15 |
transcript.pyannote[1489].start |
9093.88409375 |
transcript.pyannote[1489].end |
9093.95159375 |
transcript.pyannote[1490].speaker |
SPEAKER_16 |
transcript.pyannote[1490].start |
9093.95159375 |
transcript.pyannote[1490].end |
9093.96846875 |
transcript.pyannote[1491].speaker |
SPEAKER_15 |
transcript.pyannote[1491].start |
9093.96846875 |
transcript.pyannote[1491].end |
9094.03596875 |
transcript.pyannote[1492].speaker |
SPEAKER_16 |
transcript.pyannote[1492].start |
9094.03596875 |
transcript.pyannote[1492].end |
9094.39034375 |
transcript.pyannote[1493].speaker |
SPEAKER_15 |
transcript.pyannote[1493].start |
9094.39034375 |
transcript.pyannote[1493].end |
9095.03159375 |
transcript.pyannote[1494].speaker |
SPEAKER_16 |
transcript.pyannote[1494].start |
9095.03159375 |
transcript.pyannote[1494].end |
9095.20034375 |
transcript.pyannote[1495].speaker |
SPEAKER_15 |
transcript.pyannote[1495].start |
9095.20034375 |
transcript.pyannote[1495].end |
9095.26784375 |
transcript.pyannote[1496].speaker |
SPEAKER_16 |
transcript.pyannote[1496].start |
9095.26784375 |
transcript.pyannote[1496].end |
9099.87471875 |
transcript.pyannote[1497].speaker |
SPEAKER_15 |
transcript.pyannote[1497].start |
9095.35221875 |
transcript.pyannote[1497].end |
9095.65596875 |
transcript.pyannote[1498].speaker |
SPEAKER_16 |
transcript.pyannote[1498].start |
9100.33034375 |
transcript.pyannote[1498].end |
9103.01346875 |
transcript.pyannote[1499].speaker |
SPEAKER_16 |
transcript.pyannote[1499].start |
9103.23284375 |
transcript.pyannote[1499].end |
9107.01284375 |
transcript.pyannote[1500].speaker |
SPEAKER_16 |
transcript.pyannote[1500].start |
9107.72159375 |
transcript.pyannote[1500].end |
9108.07596875 |
transcript.pyannote[1501].speaker |
SPEAKER_16 |
transcript.pyannote[1501].start |
9108.54846875 |
transcript.pyannote[1501].end |
9113.81346875 |
transcript.pyannote[1502].speaker |
SPEAKER_16 |
transcript.pyannote[1502].start |
9114.40409375 |
transcript.pyannote[1502].end |
9118.01534375 |
transcript.pyannote[1503].speaker |
SPEAKER_16 |
transcript.pyannote[1503].start |
9118.96034375 |
transcript.pyannote[1503].end |
9119.51721875 |
transcript.pyannote[1504].speaker |
SPEAKER_16 |
transcript.pyannote[1504].start |
9119.90534375 |
transcript.pyannote[1504].end |
9120.96846875 |
transcript.pyannote[1505].speaker |
SPEAKER_15 |
transcript.pyannote[1505].start |
9120.96846875 |
transcript.pyannote[1505].end |
9122.50409375 |
transcript.pyannote[1506].speaker |
SPEAKER_16 |
transcript.pyannote[1506].start |
9122.50409375 |
transcript.pyannote[1506].end |
9123.48284375 |
transcript.pyannote[1507].speaker |
SPEAKER_15 |
transcript.pyannote[1507].start |
9123.48284375 |
transcript.pyannote[1507].end |
9123.71909375 |
transcript.pyannote[1508].speaker |
SPEAKER_16 |
transcript.pyannote[1508].start |
9123.71909375 |
transcript.pyannote[1508].end |
9123.73596875 |
transcript.pyannote[1509].speaker |
SPEAKER_15 |
transcript.pyannote[1509].start |
9124.90034375 |
transcript.pyannote[1509].end |
9125.32221875 |
transcript.pyannote[1510].speaker |
SPEAKER_15 |
transcript.pyannote[1510].start |
9125.91284375 |
transcript.pyannote[1510].end |
9126.60471875 |
transcript.pyannote[1511].speaker |
SPEAKER_15 |
transcript.pyannote[1511].start |
9127.51596875 |
transcript.pyannote[1511].end |
9127.88721875 |
transcript.pyannote[1512].speaker |
SPEAKER_15 |
transcript.pyannote[1512].start |
9128.12346875 |
transcript.pyannote[1512].end |
9130.99221875 |
transcript.pyannote[1513].speaker |
SPEAKER_16 |
transcript.pyannote[1513].start |
9130.31721875 |
transcript.pyannote[1513].end |
9140.22284375 |
transcript.pyannote[1514].speaker |
SPEAKER_15 |
transcript.pyannote[1514].start |
9140.54346875 |
transcript.pyannote[1514].end |
9145.69034375 |
transcript.pyannote[1515].speaker |
SPEAKER_15 |
transcript.pyannote[1515].start |
9145.90971875 |
transcript.pyannote[1515].end |
9150.85409375 |
transcript.pyannote[1516].speaker |
SPEAKER_16 |
transcript.pyannote[1516].start |
9149.31846875 |
transcript.pyannote[1516].end |
9150.87096875 |
transcript.pyannote[1517].speaker |
SPEAKER_15 |
transcript.pyannote[1517].start |
9150.87096875 |
transcript.pyannote[1517].end |
9151.29284375 |
transcript.pyannote[1518].speaker |
SPEAKER_16 |
transcript.pyannote[1518].start |
9151.66409375 |
transcript.pyannote[1518].end |
9157.26659375 |
transcript.pyannote[1519].speaker |
SPEAKER_15 |
transcript.pyannote[1519].start |
9157.84034375 |
transcript.pyannote[1519].end |
9158.32971875 |
transcript.pyannote[1520].speaker |
SPEAKER_16 |
transcript.pyannote[1520].start |
9158.32971875 |
transcript.pyannote[1520].end |
9163.71284375 |
transcript.pyannote[1521].speaker |
SPEAKER_16 |
transcript.pyannote[1521].start |
9164.15159375 |
transcript.pyannote[1521].end |
9168.20159375 |
transcript.pyannote[1522].speaker |
SPEAKER_15 |
transcript.pyannote[1522].start |
9168.20159375 |
transcript.pyannote[1522].end |
9173.41596875 |
transcript.pyannote[1523].speaker |
SPEAKER_16 |
transcript.pyannote[1523].start |
9173.41596875 |
transcript.pyannote[1523].end |
9178.42784375 |
transcript.pyannote[1524].speaker |
SPEAKER_16 |
transcript.pyannote[1524].start |
9178.74846875 |
transcript.pyannote[1524].end |
9182.35971875 |
transcript.pyannote[1525].speaker |
SPEAKER_16 |
transcript.pyannote[1525].start |
9182.66346875 |
transcript.pyannote[1525].end |
9201.86721875 |
transcript.pyannote[1526].speaker |
SPEAKER_26 |
transcript.pyannote[1526].start |
9194.93159375 |
transcript.pyannote[1526].end |
9195.30284375 |
transcript.pyannote[1527].speaker |
SPEAKER_15 |
transcript.pyannote[1527].start |
9200.70284375 |
transcript.pyannote[1527].end |
9202.89659375 |
transcript.pyannote[1528].speaker |
SPEAKER_16 |
transcript.pyannote[1528].start |
9202.49159375 |
transcript.pyannote[1528].end |
9207.94221875 |
transcript.pyannote[1529].speaker |
SPEAKER_16 |
transcript.pyannote[1529].start |
9208.44846875 |
transcript.pyannote[1529].end |
9212.53221875 |
transcript.pyannote[1530].speaker |
SPEAKER_16 |
transcript.pyannote[1530].start |
9214.08471875 |
transcript.pyannote[1530].end |
9218.43846875 |
transcript.pyannote[1531].speaker |
SPEAKER_17 |
transcript.pyannote[1531].start |
9216.93659375 |
transcript.pyannote[1531].end |
9217.20659375 |
transcript.pyannote[1532].speaker |
SPEAKER_16 |
transcript.pyannote[1532].start |
9218.52284375 |
transcript.pyannote[1532].end |
9221.47596875 |
transcript.pyannote[1533].speaker |
SPEAKER_16 |
transcript.pyannote[1533].start |
9222.21846875 |
transcript.pyannote[1533].end |
9224.14221875 |
transcript.pyannote[1534].speaker |
SPEAKER_16 |
transcript.pyannote[1534].start |
9224.53034375 |
transcript.pyannote[1534].end |
9225.23909375 |
transcript.pyannote[1535].speaker |
SPEAKER_16 |
transcript.pyannote[1535].start |
9225.50909375 |
transcript.pyannote[1535].end |
9230.94284375 |
transcript.pyannote[1536].speaker |
SPEAKER_15 |
transcript.pyannote[1536].start |
9227.14596875 |
transcript.pyannote[1536].end |
9227.53409375 |
transcript.pyannote[1537].speaker |
SPEAKER_15 |
transcript.pyannote[1537].start |
9228.54659375 |
transcript.pyannote[1537].end |
9228.69846875 |
transcript.pyannote[1538].speaker |
SPEAKER_16 |
transcript.pyannote[1538].start |
9231.17909375 |
transcript.pyannote[1538].end |
9232.17471875 |
transcript.pyannote[1539].speaker |
SPEAKER_16 |
transcript.pyannote[1539].start |
9232.30971875 |
transcript.pyannote[1539].end |
9244.94909375 |
transcript.pyannote[1540].speaker |
SPEAKER_16 |
transcript.pyannote[1540].start |
9245.79284375 |
transcript.pyannote[1540].end |
9250.75409375 |
transcript.pyannote[1541].speaker |
SPEAKER_16 |
transcript.pyannote[1541].start |
9251.05784375 |
transcript.pyannote[1541].end |
9256.42409375 |
transcript.pyannote[1542].speaker |
SPEAKER_16 |
transcript.pyannote[1542].start |
9256.59284375 |
transcript.pyannote[1542].end |
9257.08221875 |
transcript.pyannote[1543].speaker |
SPEAKER_00 |
transcript.pyannote[1543].start |
9259.73159375 |
transcript.pyannote[1543].end |
9261.94221875 |
transcript.pyannote[1544].speaker |
SPEAKER_00 |
transcript.pyannote[1544].start |
9262.36409375 |
transcript.pyannote[1544].end |
9264.15284375 |
transcript.pyannote[1545].speaker |
SPEAKER_00 |
transcript.pyannote[1545].start |
9265.01346875 |
transcript.pyannote[1545].end |
9265.97534375 |
transcript.pyannote[1546].speaker |
SPEAKER_00 |
transcript.pyannote[1546].start |
9266.34659375 |
transcript.pyannote[1546].end |
9267.47721875 |
transcript.pyannote[1547].speaker |
SPEAKER_00 |
transcript.pyannote[1547].start |
9268.18596875 |
transcript.pyannote[1547].end |
9270.39659375 |
transcript.pyannote[1548].speaker |
SPEAKER_00 |
transcript.pyannote[1548].start |
9270.71721875 |
transcript.pyannote[1548].end |
9278.66534375 |
transcript.pyannote[1549].speaker |
SPEAKER_00 |
transcript.pyannote[1549].start |
9279.18846875 |
transcript.pyannote[1549].end |
9280.77471875 |
transcript.pyannote[1550].speaker |
SPEAKER_00 |
transcript.pyannote[1550].start |
9281.38221875 |
transcript.pyannote[1550].end |
9281.71971875 |
transcript.pyannote[1551].speaker |
SPEAKER_00 |
transcript.pyannote[1551].start |
9282.34409375 |
transcript.pyannote[1551].end |
9285.06096875 |
transcript.pyannote[1552].speaker |
SPEAKER_11 |
transcript.pyannote[1552].start |
9292.94159375 |
transcript.pyannote[1552].end |
9295.25346875 |
transcript.pyannote[1553].speaker |
SPEAKER_15 |
transcript.pyannote[1553].start |
9303.15096875 |
transcript.pyannote[1553].end |
9303.72471875 |
transcript.pyannote[1554].speaker |
SPEAKER_11 |
transcript.pyannote[1554].start |
9304.33221875 |
transcript.pyannote[1554].end |
9305.26034375 |
transcript.pyannote[1555].speaker |
SPEAKER_11 |
transcript.pyannote[1555].start |
9305.56409375 |
transcript.pyannote[1555].end |
9346.35096875 |
transcript.pyannote[1556].speaker |
SPEAKER_11 |
transcript.pyannote[1556].start |
9347.02596875 |
transcript.pyannote[1556].end |
9358.90596875 |
transcript.pyannote[1557].speaker |
SPEAKER_11 |
transcript.pyannote[1557].start |
9359.49659375 |
transcript.pyannote[1557].end |
9361.87596875 |
transcript.pyannote[1558].speaker |
SPEAKER_11 |
transcript.pyannote[1558].start |
9361.89284375 |
transcript.pyannote[1558].end |
9370.22909375 |
transcript.pyannote[1559].speaker |
SPEAKER_11 |
transcript.pyannote[1559].start |
9370.56659375 |
transcript.pyannote[1559].end |
9378.17721875 |
transcript.pyannote[1560].speaker |
SPEAKER_15 |
transcript.pyannote[1560].start |
9380.35409375 |
transcript.pyannote[1560].end |
9380.38784375 |
transcript.pyannote[1561].speaker |
SPEAKER_22 |
transcript.pyannote[1561].start |
9380.38784375 |
transcript.pyannote[1561].end |
9380.40471875 |
transcript.pyannote[1562].speaker |
SPEAKER_15 |
transcript.pyannote[1562].start |
9381.23159375 |
transcript.pyannote[1562].end |
9382.14284375 |
transcript.pyannote[1563].speaker |
SPEAKER_15 |
transcript.pyannote[1563].start |
9382.32846875 |
transcript.pyannote[1563].end |
9383.22284375 |
transcript.pyannote[1564].speaker |
SPEAKER_15 |
transcript.pyannote[1564].start |
9384.16784375 |
transcript.pyannote[1564].end |
9386.54721875 |
transcript.pyannote[1565].speaker |
SPEAKER_15 |
transcript.pyannote[1565].start |
9386.91846875 |
transcript.pyannote[1565].end |
9388.20096875 |
transcript.pyannote[1566].speaker |
SPEAKER_11 |
transcript.pyannote[1566].start |
9388.33596875 |
transcript.pyannote[1566].end |
9388.47096875 |
transcript.pyannote[1567].speaker |
SPEAKER_07 |
transcript.pyannote[1567].start |
9388.47096875 |
transcript.pyannote[1567].end |
9389.07846875 |
transcript.pyannote[1568].speaker |
SPEAKER_07 |
transcript.pyannote[1568].start |
9391.47471875 |
transcript.pyannote[1568].end |
9423.97596875 |
transcript.pyannote[1569].speaker |
SPEAKER_11 |
transcript.pyannote[1569].start |
9423.97596875 |
transcript.pyannote[1569].end |
9429.29159375 |
transcript.pyannote[1570].speaker |
SPEAKER_07 |
transcript.pyannote[1570].start |
9425.78159375 |
transcript.pyannote[1570].end |
9426.74346875 |
transcript.pyannote[1571].speaker |
SPEAKER_11 |
transcript.pyannote[1571].start |
9430.11846875 |
transcript.pyannote[1571].end |
9459.63284375 |
transcript.pyannote[1572].speaker |
SPEAKER_11 |
transcript.pyannote[1572].start |
9460.10534375 |
transcript.pyannote[1572].end |
9472.93034375 |
transcript.pyannote[1573].speaker |
SPEAKER_11 |
transcript.pyannote[1573].start |
9473.41971875 |
transcript.pyannote[1573].end |
9474.22971875 |
transcript.pyannote[1574].speaker |
SPEAKER_11 |
transcript.pyannote[1574].start |
9474.56721875 |
transcript.pyannote[1574].end |
9478.48221875 |
transcript.pyannote[1575].speaker |
SPEAKER_11 |
transcript.pyannote[1575].start |
9478.87034375 |
transcript.pyannote[1575].end |
9482.88659375 |
transcript.pyannote[1576].speaker |
SPEAKER_15 |
transcript.pyannote[1576].start |
9483.02159375 |
transcript.pyannote[1576].end |
9485.41784375 |
transcript.pyannote[1577].speaker |
SPEAKER_11 |
transcript.pyannote[1577].start |
9484.77659375 |
transcript.pyannote[1577].end |
9485.28284375 |
transcript.pyannote[1578].speaker |
SPEAKER_11 |
transcript.pyannote[1578].start |
9485.72159375 |
transcript.pyannote[1578].end |
9486.51471875 |
transcript.pyannote[1579].speaker |
SPEAKER_15 |
transcript.pyannote[1579].start |
9486.27846875 |
transcript.pyannote[1579].end |
9488.16846875 |
transcript.pyannote[1580].speaker |
SPEAKER_11 |
transcript.pyannote[1580].start |
9486.56534375 |
transcript.pyannote[1580].end |
9491.03721875 |
transcript.pyannote[1581].speaker |
SPEAKER_07 |
transcript.pyannote[1581].start |
9490.58159375 |
transcript.pyannote[1581].end |
9492.33659375 |
transcript.pyannote[1582].speaker |
SPEAKER_11 |
transcript.pyannote[1582].start |
9492.65721875 |
transcript.pyannote[1582].end |
9497.11221875 |
transcript.pyannote[1583].speaker |
SPEAKER_07 |
transcript.pyannote[1583].start |
9496.92659375 |
transcript.pyannote[1583].end |
9497.90534375 |
transcript.pyannote[1584].speaker |
SPEAKER_11 |
transcript.pyannote[1584].start |
9497.24721875 |
transcript.pyannote[1584].end |
9500.48721875 |
transcript.pyannote[1585].speaker |
SPEAKER_11 |
transcript.pyannote[1585].start |
9500.90909375 |
transcript.pyannote[1585].end |
9507.94596875 |
transcript.pyannote[1586].speaker |
SPEAKER_07 |
transcript.pyannote[1586].start |
9508.68846875 |
transcript.pyannote[1586].end |
9509.05971875 |
transcript.pyannote[1587].speaker |
SPEAKER_11 |
transcript.pyannote[1587].start |
9509.16096875 |
transcript.pyannote[1587].end |
9509.17784375 |
transcript.pyannote[1588].speaker |
SPEAKER_07 |
transcript.pyannote[1588].start |
9509.17784375 |
transcript.pyannote[1588].end |
9520.23096875 |
transcript.pyannote[1589].speaker |
SPEAKER_11 |
transcript.pyannote[1589].start |
9520.23096875 |
transcript.pyannote[1589].end |
9531.13221875 |
transcript.pyannote[1590].speaker |
SPEAKER_07 |
transcript.pyannote[1590].start |
9521.07471875 |
transcript.pyannote[1590].end |
9521.59784375 |
transcript.pyannote[1591].speaker |
SPEAKER_11 |
transcript.pyannote[1591].start |
9531.45284375 |
transcript.pyannote[1591].end |
9533.71409375 |
transcript.pyannote[1592].speaker |
SPEAKER_07 |
transcript.pyannote[1592].start |
9534.33846875 |
transcript.pyannote[1592].end |
9534.40596875 |
transcript.pyannote[1593].speaker |
SPEAKER_07 |
transcript.pyannote[1593].start |
9534.69284375 |
transcript.pyannote[1593].end |
9552.91784375 |
transcript.pyannote[1594].speaker |
SPEAKER_11 |
transcript.pyannote[1594].start |
9550.60596875 |
transcript.pyannote[1594].end |
9552.56346875 |
transcript.pyannote[1595].speaker |
SPEAKER_11 |
transcript.pyannote[1595].start |
9552.91784375 |
transcript.pyannote[1595].end |
9552.96846875 |
transcript.pyannote[1596].speaker |
SPEAKER_11 |
transcript.pyannote[1596].start |
9553.03596875 |
transcript.pyannote[1596].end |
9553.05284375 |
transcript.pyannote[1597].speaker |
SPEAKER_07 |
transcript.pyannote[1597].start |
9553.05284375 |
transcript.pyannote[1597].end |
9554.04846875 |
transcript.pyannote[1598].speaker |
SPEAKER_11 |
transcript.pyannote[1598].start |
9553.37346875 |
transcript.pyannote[1598].end |
9562.58721875 |
transcript.pyannote[1599].speaker |
SPEAKER_07 |
transcript.pyannote[1599].start |
9558.67221875 |
transcript.pyannote[1599].end |
9559.16159375 |
transcript.pyannote[1600].speaker |
SPEAKER_07 |
transcript.pyannote[1600].start |
9562.43534375 |
transcript.pyannote[1600].end |
9562.97534375 |
transcript.pyannote[1601].speaker |
SPEAKER_11 |
transcript.pyannote[1601].start |
9562.85721875 |
transcript.pyannote[1601].end |
9568.30784375 |
transcript.pyannote[1602].speaker |
SPEAKER_07 |
transcript.pyannote[1602].start |
9568.42596875 |
transcript.pyannote[1602].end |
9568.76346875 |
transcript.pyannote[1603].speaker |
SPEAKER_11 |
transcript.pyannote[1603].start |
9569.08409375 |
transcript.pyannote[1603].end |
9571.32846875 |
transcript.pyannote[1604].speaker |
SPEAKER_07 |
transcript.pyannote[1604].start |
9571.32846875 |
transcript.pyannote[1604].end |
9582.68534375 |
transcript.pyannote[1605].speaker |
SPEAKER_11 |
transcript.pyannote[1605].start |
9579.81659375 |
transcript.pyannote[1605].end |
9599.86409375 |
transcript.pyannote[1606].speaker |
SPEAKER_07 |
transcript.pyannote[1606].start |
9599.86409375 |
transcript.pyannote[1606].end |
9601.87221875 |
transcript.pyannote[1607].speaker |
SPEAKER_11 |
transcript.pyannote[1607].start |
9601.87221875 |
transcript.pyannote[1607].end |
9620.67096875 |
transcript.pyannote[1608].speaker |
SPEAKER_07 |
transcript.pyannote[1608].start |
9622.44284375 |
transcript.pyannote[1608].end |
9623.03346875 |
transcript.pyannote[1609].speaker |
SPEAKER_07 |
transcript.pyannote[1609].start |
9623.42159375 |
transcript.pyannote[1609].end |
9630.28971875 |
transcript.pyannote[1610].speaker |
SPEAKER_11 |
transcript.pyannote[1610].start |
9628.48409375 |
transcript.pyannote[1610].end |
9631.77471875 |
transcript.pyannote[1611].speaker |
SPEAKER_07 |
transcript.pyannote[1611].start |
9631.40346875 |
transcript.pyannote[1611].end |
9637.96784375 |
transcript.pyannote[1612].speaker |
SPEAKER_03 |
transcript.pyannote[1612].start |
9637.96784375 |
transcript.pyannote[1612].end |
9638.00159375 |
transcript.pyannote[1613].speaker |
SPEAKER_07 |
transcript.pyannote[1613].start |
9638.00159375 |
transcript.pyannote[1613].end |
9638.17034375 |
transcript.pyannote[1614].speaker |
SPEAKER_03 |
transcript.pyannote[1614].start |
9638.17034375 |
transcript.pyannote[1614].end |
9638.71034375 |
transcript.pyannote[1615].speaker |
SPEAKER_07 |
transcript.pyannote[1615].start |
9638.71034375 |
transcript.pyannote[1615].end |
9638.79471875 |
transcript.pyannote[1616].speaker |
SPEAKER_03 |
transcript.pyannote[1616].start |
9639.03096875 |
transcript.pyannote[1616].end |
9640.27971875 |
transcript.pyannote[1617].speaker |
SPEAKER_07 |
transcript.pyannote[1617].start |
9639.79034375 |
transcript.pyannote[1617].end |
9640.21221875 |
transcript.pyannote[1618].speaker |
SPEAKER_07 |
transcript.pyannote[1618].start |
9640.27971875 |
transcript.pyannote[1618].end |
9640.34721875 |
transcript.pyannote[1619].speaker |
SPEAKER_03 |
transcript.pyannote[1619].start |
9640.88721875 |
transcript.pyannote[1619].end |
9642.81096875 |
transcript.pyannote[1620].speaker |
SPEAKER_03 |
transcript.pyannote[1620].start |
9643.72221875 |
transcript.pyannote[1620].end |
9644.70096875 |
transcript.pyannote[1621].speaker |
SPEAKER_03 |
transcript.pyannote[1621].start |
9645.13971875 |
transcript.pyannote[1621].end |
9648.24471875 |
transcript.pyannote[1622].speaker |
SPEAKER_27 |
transcript.pyannote[1622].start |
9655.24784375 |
transcript.pyannote[1622].end |
9656.32784375 |
transcript.pyannote[1623].speaker |
SPEAKER_27 |
transcript.pyannote[1623].start |
9657.25596875 |
transcript.pyannote[1623].end |
9658.85909375 |
transcript.pyannote[1624].speaker |
SPEAKER_27 |
transcript.pyannote[1624].start |
9659.23034375 |
transcript.pyannote[1624].end |
9660.12471875 |
transcript.pyannote[1625].speaker |
SPEAKER_27 |
transcript.pyannote[1625].start |
9660.34409375 |
transcript.pyannote[1625].end |
9661.28909375 |
transcript.pyannote[1626].speaker |
SPEAKER_27 |
transcript.pyannote[1626].start |
9661.93034375 |
transcript.pyannote[1626].end |
9662.41971875 |
transcript.pyannote[1627].speaker |
SPEAKER_03 |
transcript.pyannote[1627].start |
9662.41971875 |
transcript.pyannote[1627].end |
9662.70659375 |
transcript.pyannote[1628].speaker |
SPEAKER_27 |
transcript.pyannote[1628].start |
9662.70659375 |
transcript.pyannote[1628].end |
9662.72346875 |
transcript.pyannote[1629].speaker |
SPEAKER_03 |
transcript.pyannote[1629].start |
9662.72346875 |
transcript.pyannote[1629].end |
9662.77409375 |
transcript.pyannote[1630].speaker |
SPEAKER_27 |
transcript.pyannote[1630].start |
9662.77409375 |
transcript.pyannote[1630].end |
9662.84159375 |
transcript.pyannote[1631].speaker |
SPEAKER_03 |
transcript.pyannote[1631].start |
9662.84159375 |
transcript.pyannote[1631].end |
9662.94284375 |
transcript.pyannote[1632].speaker |
SPEAKER_27 |
transcript.pyannote[1632].start |
9662.94284375 |
transcript.pyannote[1632].end |
9663.01034375 |
transcript.pyannote[1633].speaker |
SPEAKER_03 |
transcript.pyannote[1633].start |
9663.01034375 |
transcript.pyannote[1633].end |
9663.14534375 |
transcript.pyannote[1634].speaker |
SPEAKER_27 |
transcript.pyannote[1634].start |
9669.52409375 |
transcript.pyannote[1634].end |
9669.54096875 |
transcript.pyannote[1635].speaker |
SPEAKER_02 |
transcript.pyannote[1635].start |
9669.54096875 |
transcript.pyannote[1635].end |
9674.73846875 |
transcript.pyannote[1636].speaker |
SPEAKER_02 |
transcript.pyannote[1636].start |
9675.04221875 |
transcript.pyannote[1636].end |
9680.10471875 |
transcript.pyannote[1637].speaker |
SPEAKER_02 |
transcript.pyannote[1637].start |
9680.29034375 |
transcript.pyannote[1637].end |
9681.89346875 |
transcript.pyannote[1638].speaker |
SPEAKER_02 |
transcript.pyannote[1638].start |
9682.26471875 |
transcript.pyannote[1638].end |
9692.96346875 |
transcript.pyannote[1639].speaker |
SPEAKER_02 |
transcript.pyannote[1639].start |
9693.33471875 |
transcript.pyannote[1639].end |
9694.97159375 |
transcript.pyannote[1640].speaker |
SPEAKER_15 |
transcript.pyannote[1640].start |
9694.97159375 |
transcript.pyannote[1640].end |
9704.15159375 |
transcript.pyannote[1641].speaker |
SPEAKER_15 |
transcript.pyannote[1641].start |
9704.40471875 |
transcript.pyannote[1641].end |
9730.86471875 |
transcript.pyannote[1642].speaker |
SPEAKER_20 |
transcript.pyannote[1642].start |
9714.76596875 |
transcript.pyannote[1642].end |
9714.96846875 |
transcript.pyannote[1643].speaker |
SPEAKER_00 |
transcript.pyannote[1643].start |
9714.96846875 |
transcript.pyannote[1643].end |
9715.23846875 |
transcript.pyannote[1644].speaker |
SPEAKER_20 |
transcript.pyannote[1644].start |
9730.91534375 |
transcript.pyannote[1644].end |
9731.06721875 |
transcript.pyannote[1645].speaker |
SPEAKER_02 |
transcript.pyannote[1645].start |
9731.10096875 |
transcript.pyannote[1645].end |
9731.11784375 |
transcript.pyannote[1646].speaker |
SPEAKER_15 |
transcript.pyannote[1646].start |
9731.18534375 |
transcript.pyannote[1646].end |
9733.56471875 |
transcript.pyannote[1647].speaker |
SPEAKER_02 |
transcript.pyannote[1647].start |
9733.56471875 |
transcript.pyannote[1647].end |
9733.61534375 |
transcript.pyannote[1648].speaker |
SPEAKER_15 |
transcript.pyannote[1648].start |
9734.10471875 |
transcript.pyannote[1648].end |
9746.89596875 |
transcript.pyannote[1649].speaker |
SPEAKER_02 |
transcript.pyannote[1649].start |
9744.04409375 |
transcript.pyannote[1649].end |
9745.73159375 |
transcript.pyannote[1650].speaker |
SPEAKER_02 |
transcript.pyannote[1650].start |
9746.13659375 |
transcript.pyannote[1650].end |
9753.76409375 |
transcript.pyannote[1651].speaker |
SPEAKER_15 |
transcript.pyannote[1651].start |
9753.76409375 |
transcript.pyannote[1651].end |
9753.91596875 |
transcript.pyannote[1652].speaker |
SPEAKER_02 |
transcript.pyannote[1652].start |
9753.91596875 |
transcript.pyannote[1652].end |
9754.05096875 |
transcript.pyannote[1653].speaker |
SPEAKER_15 |
transcript.pyannote[1653].start |
9754.05096875 |
transcript.pyannote[1653].end |
9754.06784375 |
transcript.pyannote[1654].speaker |
SPEAKER_02 |
transcript.pyannote[1654].start |
9754.06784375 |
transcript.pyannote[1654].end |
9754.08471875 |
transcript.pyannote[1655].speaker |
SPEAKER_15 |
transcript.pyannote[1655].start |
9754.08471875 |
transcript.pyannote[1655].end |
9754.11846875 |
transcript.pyannote[1656].speaker |
SPEAKER_02 |
transcript.pyannote[1656].start |
9754.11846875 |
transcript.pyannote[1656].end |
9754.13534375 |
transcript.pyannote[1657].speaker |
SPEAKER_15 |
transcript.pyannote[1657].start |
9754.13534375 |
transcript.pyannote[1657].end |
9762.87659375 |
transcript.pyannote[1658].speaker |
SPEAKER_02 |
transcript.pyannote[1658].start |
9754.16909375 |
transcript.pyannote[1658].end |
9754.69221875 |
transcript.pyannote[1659].speaker |
SPEAKER_02 |
transcript.pyannote[1659].start |
9760.17659375 |
transcript.pyannote[1659].end |
9760.69971875 |
transcript.pyannote[1660].speaker |
SPEAKER_15 |
transcript.pyannote[1660].start |
9762.96096875 |
transcript.pyannote[1660].end |
9783.86909375 |
transcript.pyannote[1661].speaker |
SPEAKER_00 |
transcript.pyannote[1661].start |
9763.31534375 |
transcript.pyannote[1661].end |
9764.36159375 |
transcript.pyannote[1662].speaker |
SPEAKER_02 |
transcript.pyannote[1662].start |
9782.11409375 |
transcript.pyannote[1662].end |
9782.36721875 |
transcript.pyannote[1663].speaker |
SPEAKER_15 |
transcript.pyannote[1663].start |
9784.29096875 |
transcript.pyannote[1663].end |
9785.03346875 |
transcript.pyannote[1664].speaker |
SPEAKER_02 |
transcript.pyannote[1664].start |
9785.03346875 |
transcript.pyannote[1664].end |
9796.64346875 |
transcript.pyannote[1665].speaker |
SPEAKER_02 |
transcript.pyannote[1665].start |
9797.09909375 |
transcript.pyannote[1665].end |
9798.78659375 |
transcript.pyannote[1666].speaker |
SPEAKER_02 |
transcript.pyannote[1666].start |
9799.20846875 |
transcript.pyannote[1666].end |
9800.79471875 |
transcript.pyannote[1667].speaker |
SPEAKER_02 |
transcript.pyannote[1667].start |
9801.52034375 |
transcript.pyannote[1667].end |
9802.76909375 |
transcript.pyannote[1668].speaker |
SPEAKER_02 |
transcript.pyannote[1668].start |
9802.92096875 |
transcript.pyannote[1668].end |
9809.97471875 |
transcript.pyannote[1669].speaker |
SPEAKER_15 |
transcript.pyannote[1669].start |
9809.97471875 |
transcript.pyannote[1669].end |
9810.26159375 |
transcript.pyannote[1670].speaker |
SPEAKER_15 |
transcript.pyannote[1670].start |
9810.95346875 |
transcript.pyannote[1670].end |
9818.09159375 |
transcript.pyannote[1671].speaker |
SPEAKER_02 |
transcript.pyannote[1671].start |
9816.21846875 |
transcript.pyannote[1671].end |
9818.74971875 |
transcript.pyannote[1672].speaker |
SPEAKER_15 |
transcript.pyannote[1672].start |
9818.74971875 |
transcript.pyannote[1672].end |
9819.03659375 |
transcript.pyannote[1673].speaker |
SPEAKER_02 |
transcript.pyannote[1673].start |
9819.03659375 |
transcript.pyannote[1673].end |
9819.74534375 |
transcript.pyannote[1674].speaker |
SPEAKER_15 |
transcript.pyannote[1674].start |
9819.74534375 |
transcript.pyannote[1674].end |
9821.12909375 |
transcript.pyannote[1675].speaker |
SPEAKER_02 |
transcript.pyannote[1675].start |
9821.12909375 |
transcript.pyannote[1675].end |
9821.21346875 |
transcript.pyannote[1676].speaker |
SPEAKER_15 |
transcript.pyannote[1676].start |
9821.21346875 |
transcript.pyannote[1676].end |
9821.77034375 |
transcript.pyannote[1677].speaker |
SPEAKER_02 |
transcript.pyannote[1677].start |
9821.77034375 |
transcript.pyannote[1677].end |
9821.82096875 |
transcript.pyannote[1678].speaker |
SPEAKER_15 |
transcript.pyannote[1678].start |
9821.82096875 |
transcript.pyannote[1678].end |
9821.83784375 |
transcript.pyannote[1679].speaker |
SPEAKER_02 |
transcript.pyannote[1679].start |
9821.83784375 |
transcript.pyannote[1679].end |
9821.85471875 |
transcript.pyannote[1680].speaker |
SPEAKER_15 |
transcript.pyannote[1680].start |
9821.85471875 |
transcript.pyannote[1680].end |
9821.88846875 |
transcript.pyannote[1681].speaker |
SPEAKER_02 |
transcript.pyannote[1681].start |
9822.14159375 |
transcript.pyannote[1681].end |
9827.82846875 |
transcript.pyannote[1682].speaker |
SPEAKER_25 |
transcript.pyannote[1682].start |
9823.81221875 |
transcript.pyannote[1682].end |
9823.82909375 |
transcript.pyannote[1683].speaker |
SPEAKER_15 |
transcript.pyannote[1683].start |
9823.82909375 |
transcript.pyannote[1683].end |
9823.96409375 |
transcript.pyannote[1684].speaker |
SPEAKER_02 |
transcript.pyannote[1684].start |
9827.92971875 |
transcript.pyannote[1684].end |
9831.43971875 |
transcript.pyannote[1685].speaker |
SPEAKER_15 |
transcript.pyannote[1685].start |
9831.77721875 |
transcript.pyannote[1685].end |
9832.04721875 |
transcript.pyannote[1686].speaker |
SPEAKER_15 |
transcript.pyannote[1686].start |
9832.45221875 |
transcript.pyannote[1686].end |
9836.41784375 |
transcript.pyannote[1687].speaker |
SPEAKER_15 |
transcript.pyannote[1687].start |
9837.29534375 |
transcript.pyannote[1687].end |
9837.51471875 |
transcript.pyannote[1688].speaker |
SPEAKER_02 |
transcript.pyannote[1688].start |
9837.51471875 |
transcript.pyannote[1688].end |
9840.04596875 |
transcript.pyannote[1689].speaker |
SPEAKER_15 |
transcript.pyannote[1689].start |
9840.04596875 |
transcript.pyannote[1689].end |
9840.23159375 |
transcript.pyannote[1690].speaker |
SPEAKER_02 |
transcript.pyannote[1690].start |
9840.23159375 |
transcript.pyannote[1690].end |
9840.26534375 |
transcript.pyannote[1691].speaker |
SPEAKER_15 |
transcript.pyannote[1691].start |
9840.26534375 |
transcript.pyannote[1691].end |
9841.00784375 |
transcript.pyannote[1692].speaker |
SPEAKER_02 |
transcript.pyannote[1692].start |
9841.00784375 |
transcript.pyannote[1692].end |
9841.10909375 |
transcript.pyannote[1693].speaker |
SPEAKER_15 |
transcript.pyannote[1693].start |
9841.10909375 |
transcript.pyannote[1693].end |
9841.68284375 |
transcript.pyannote[1694].speaker |
SPEAKER_02 |
transcript.pyannote[1694].start |
9841.68284375 |
transcript.pyannote[1694].end |
9846.96471875 |
transcript.pyannote[1695].speaker |
SPEAKER_15 |
transcript.pyannote[1695].start |
9846.67784375 |
transcript.pyannote[1695].end |
9846.94784375 |
transcript.pyannote[1696].speaker |
SPEAKER_15 |
transcript.pyannote[1696].start |
9846.96471875 |
transcript.pyannote[1696].end |
9847.33596875 |
transcript.pyannote[1697].speaker |
SPEAKER_02 |
transcript.pyannote[1697].start |
9847.33596875 |
transcript.pyannote[1697].end |
9847.35284375 |
transcript.pyannote[1698].speaker |
SPEAKER_15 |
transcript.pyannote[1698].start |
9847.35284375 |
transcript.pyannote[1698].end |
9848.33159375 |
transcript.pyannote[1699].speaker |
SPEAKER_02 |
transcript.pyannote[1699].start |
9848.33159375 |
transcript.pyannote[1699].end |
9851.85846875 |
transcript.pyannote[1700].speaker |
SPEAKER_02 |
transcript.pyannote[1700].start |
9852.12846875 |
transcript.pyannote[1700].end |
9852.14534375 |
transcript.pyannote[1701].speaker |
SPEAKER_15 |
transcript.pyannote[1701].start |
9852.14534375 |
transcript.pyannote[1701].end |
9852.36471875 |
transcript.pyannote[1702].speaker |
SPEAKER_02 |
transcript.pyannote[1702].start |
9852.36471875 |
transcript.pyannote[1702].end |
9852.43221875 |
transcript.pyannote[1703].speaker |
SPEAKER_02 |
transcript.pyannote[1703].start |
9852.63471875 |
transcript.pyannote[1703].end |
9852.88784375 |
transcript.pyannote[1704].speaker |
SPEAKER_02 |
transcript.pyannote[1704].start |
9853.10721875 |
transcript.pyannote[1704].end |
9855.73971875 |
transcript.pyannote[1705].speaker |
SPEAKER_02 |
transcript.pyannote[1705].start |
9855.99284375 |
transcript.pyannote[1705].end |
9861.89909375 |
transcript.pyannote[1706].speaker |
SPEAKER_02 |
transcript.pyannote[1706].start |
9861.98346875 |
transcript.pyannote[1706].end |
9878.13284375 |
transcript.pyannote[1707].speaker |
SPEAKER_02 |
transcript.pyannote[1707].start |
9878.72346875 |
transcript.pyannote[1707].end |
9879.98909375 |
transcript.pyannote[1708].speaker |
SPEAKER_02 |
transcript.pyannote[1708].start |
9880.02284375 |
transcript.pyannote[1708].end |
9882.57096875 |
transcript.pyannote[1709].speaker |
SPEAKER_02 |
transcript.pyannote[1709].start |
9883.22909375 |
transcript.pyannote[1709].end |
9885.64221875 |
transcript.pyannote[1710].speaker |
SPEAKER_02 |
transcript.pyannote[1710].start |
9885.97971875 |
transcript.pyannote[1710].end |
9889.37159375 |
transcript.pyannote[1711].speaker |
SPEAKER_02 |
transcript.pyannote[1711].start |
9889.67534375 |
transcript.pyannote[1711].end |
9895.53096875 |
transcript.pyannote[1712].speaker |
SPEAKER_15 |
transcript.pyannote[1712].start |
9896.47596875 |
transcript.pyannote[1712].end |
9904.40721875 |
transcript.pyannote[1713].speaker |
SPEAKER_02 |
transcript.pyannote[1713].start |
9901.08284375 |
transcript.pyannote[1713].end |
9907.81596875 |
transcript.pyannote[1714].speaker |
SPEAKER_02 |
transcript.pyannote[1714].start |
9908.33909375 |
transcript.pyannote[1714].end |
9911.79846875 |
transcript.pyannote[1715].speaker |
SPEAKER_02 |
transcript.pyannote[1715].start |
9912.08534375 |
transcript.pyannote[1715].end |
9916.45596875 |
transcript.pyannote[1716].speaker |
SPEAKER_15 |
transcript.pyannote[1716].start |
9916.45596875 |
transcript.pyannote[1716].end |
9916.47284375 |
transcript.pyannote[1717].speaker |
SPEAKER_15 |
transcript.pyannote[1717].start |
9916.64159375 |
transcript.pyannote[1717].end |
9916.81034375 |
transcript.pyannote[1718].speaker |
SPEAKER_02 |
transcript.pyannote[1718].start |
9917.62034375 |
transcript.pyannote[1718].end |
9917.63721875 |
transcript.pyannote[1719].speaker |
SPEAKER_15 |
transcript.pyannote[1719].start |
9917.63721875 |
transcript.pyannote[1719].end |
9918.90284375 |
transcript.pyannote[1720].speaker |
SPEAKER_15 |
transcript.pyannote[1720].start |
9919.02096875 |
transcript.pyannote[1720].end |
9929.02784375 |
transcript.pyannote[1721].speaker |
SPEAKER_02 |
transcript.pyannote[1721].start |
9929.02784375 |
transcript.pyannote[1721].end |
9929.12909375 |
transcript.pyannote[1722].speaker |
SPEAKER_15 |
transcript.pyannote[1722].start |
9929.12909375 |
transcript.pyannote[1722].end |
9929.16284375 |
transcript.pyannote[1723].speaker |
SPEAKER_02 |
transcript.pyannote[1723].start |
9929.16284375 |
transcript.pyannote[1723].end |
9929.33159375 |
transcript.pyannote[1724].speaker |
SPEAKER_15 |
transcript.pyannote[1724].start |
9929.33159375 |
transcript.pyannote[1724].end |
9932.13284375 |
transcript.pyannote[1725].speaker |
SPEAKER_02 |
transcript.pyannote[1725].start |
9929.36534375 |
transcript.pyannote[1725].end |
9936.21659375 |
transcript.pyannote[1726].speaker |
SPEAKER_02 |
transcript.pyannote[1726].start |
9936.45284375 |
transcript.pyannote[1726].end |
9943.05096875 |
transcript.pyannote[1727].speaker |
SPEAKER_02 |
transcript.pyannote[1727].start |
9943.33784375 |
transcript.pyannote[1727].end |
9944.67096875 |
transcript.pyannote[1728].speaker |
SPEAKER_02 |
transcript.pyannote[1728].start |
9944.99159375 |
transcript.pyannote[1728].end |
9946.20659375 |
transcript.pyannote[1729].speaker |
SPEAKER_02 |
transcript.pyannote[1729].start |
9946.37534375 |
transcript.pyannote[1729].end |
9947.50596875 |
transcript.pyannote[1730].speaker |
SPEAKER_02 |
transcript.pyannote[1730].start |
9947.52284375 |
transcript.pyannote[1730].end |
9950.84721875 |
transcript.pyannote[1731].speaker |
SPEAKER_02 |
transcript.pyannote[1731].start |
9951.20159375 |
transcript.pyannote[1731].end |
9960.71909375 |
transcript.pyannote[1732].speaker |
SPEAKER_02 |
transcript.pyannote[1732].start |
9960.90471875 |
transcript.pyannote[1732].end |
9963.53721875 |
transcript.pyannote[1733].speaker |
SPEAKER_02 |
transcript.pyannote[1733].start |
9963.62159375 |
transcript.pyannote[1733].end |
9966.97971875 |
transcript.pyannote[1734].speaker |
SPEAKER_02 |
transcript.pyannote[1734].start |
9967.14846875 |
transcript.pyannote[1734].end |
9968.58284375 |
transcript.pyannote[1735].speaker |
SPEAKER_02 |
transcript.pyannote[1735].start |
9968.81909375 |
transcript.pyannote[1735].end |
9970.03409375 |
transcript.pyannote[1736].speaker |
SPEAKER_02 |
transcript.pyannote[1736].start |
9970.30409375 |
transcript.pyannote[1736].end |
9974.97846875 |
transcript.pyannote[1737].speaker |
SPEAKER_15 |
transcript.pyannote[1737].start |
9974.97846875 |
transcript.pyannote[1737].end |
9974.99534375 |
transcript.pyannote[1738].speaker |
SPEAKER_15 |
transcript.pyannote[1738].start |
9976.04159375 |
transcript.pyannote[1738].end |
9980.37846875 |
transcript.pyannote[1739].speaker |
SPEAKER_15 |
transcript.pyannote[1739].start |
9980.46284375 |
transcript.pyannote[1739].end |
9984.09096875 |
transcript.pyannote[1740].speaker |
SPEAKER_15 |
transcript.pyannote[1740].start |
9984.39471875 |
transcript.pyannote[1740].end |
9988.74846875 |
transcript.pyannote[1741].speaker |
SPEAKER_15 |
transcript.pyannote[1741].start |
9989.42346875 |
transcript.pyannote[1741].end |
9991.48221875 |
transcript.pyannote[1742].speaker |
SPEAKER_02 |
transcript.pyannote[1742].start |
9990.18284375 |
transcript.pyannote[1742].end |
10000.20659375 |
transcript.pyannote[1743].speaker |
SPEAKER_02 |
transcript.pyannote[1743].start |
10000.76346875 |
transcript.pyannote[1743].end |
10005.85971875 |
transcript.pyannote[1744].speaker |
SPEAKER_02 |
transcript.pyannote[1744].start |
10006.07909375 |
transcript.pyannote[1744].end |
10009.82534375 |
transcript.pyannote[1745].speaker |
SPEAKER_02 |
transcript.pyannote[1745].start |
10009.87596875 |
transcript.pyannote[1745].end |
10010.26409375 |
transcript.pyannote[1746].speaker |
SPEAKER_02 |
transcript.pyannote[1746].start |
10010.65221875 |
transcript.pyannote[1746].end |
10011.37784375 |
transcript.pyannote[1747].speaker |
SPEAKER_02 |
transcript.pyannote[1747].start |
10011.56346875 |
transcript.pyannote[1747].end |
10013.53784375 |
transcript.pyannote[1748].speaker |
SPEAKER_02 |
transcript.pyannote[1748].start |
10013.68971875 |
transcript.pyannote[1748].end |
10018.56659375 |
transcript.pyannote[1749].speaker |
SPEAKER_02 |
transcript.pyannote[1749].start |
10018.80284375 |
transcript.pyannote[1749].end |
10021.89096875 |
transcript.pyannote[1750].speaker |
SPEAKER_02 |
transcript.pyannote[1750].start |
10022.11034375 |
transcript.pyannote[1750].end |
10022.61659375 |
transcript.pyannote[1751].speaker |
SPEAKER_02 |
transcript.pyannote[1751].start |
10022.78534375 |
transcript.pyannote[1751].end |
10023.22409375 |
transcript.pyannote[1752].speaker |
SPEAKER_03 |
transcript.pyannote[1752].start |
10028.38784375 |
transcript.pyannote[1752].end |
10031.32409375 |
transcript.pyannote[1753].speaker |
SPEAKER_01 |
transcript.pyannote[1753].start |
10035.03659375 |
transcript.pyannote[1753].end |
10036.15034375 |
transcript.pyannote[1754].speaker |
SPEAKER_01 |
transcript.pyannote[1754].start |
10036.42034375 |
transcript.pyannote[1754].end |
10036.43721875 |
transcript.pyannote[1755].speaker |
SPEAKER_03 |
transcript.pyannote[1755].start |
10036.43721875 |
transcript.pyannote[1755].end |
10036.45409375 |
transcript.pyannote[1756].speaker |
SPEAKER_01 |
transcript.pyannote[1756].start |
10036.45409375 |
transcript.pyannote[1756].end |
10037.87159375 |
transcript.pyannote[1757].speaker |
SPEAKER_01 |
transcript.pyannote[1757].start |
10038.39471875 |
transcript.pyannote[1757].end |
10039.60971875 |
transcript.pyannote[1758].speaker |
SPEAKER_22 |
transcript.pyannote[1758].start |
10046.54534375 |
transcript.pyannote[1758].end |
10047.05159375 |
transcript.pyannote[1759].speaker |
SPEAKER_01 |
transcript.pyannote[1759].start |
10047.05159375 |
transcript.pyannote[1759].end |
10048.14846875 |
transcript.pyannote[1760].speaker |
SPEAKER_01 |
transcript.pyannote[1760].start |
10048.46909375 |
transcript.pyannote[1760].end |
10050.15659375 |
transcript.pyannote[1761].speaker |
SPEAKER_01 |
transcript.pyannote[1761].start |
10050.76409375 |
transcript.pyannote[1761].end |
10053.34596875 |
transcript.pyannote[1762].speaker |
SPEAKER_01 |
transcript.pyannote[1762].start |
10053.51471875 |
transcript.pyannote[1762].end |
10054.67909375 |
transcript.pyannote[1763].speaker |
SPEAKER_01 |
transcript.pyannote[1763].start |
10054.91534375 |
transcript.pyannote[1763].end |
10057.54784375 |
transcript.pyannote[1764].speaker |
SPEAKER_20 |
transcript.pyannote[1764].start |
10057.71659375 |
transcript.pyannote[1764].end |
10058.08784375 |
transcript.pyannote[1765].speaker |
SPEAKER_01 |
transcript.pyannote[1765].start |
10058.22284375 |
transcript.pyannote[1765].end |
10059.13409375 |
transcript.pyannote[1766].speaker |
SPEAKER_01 |
transcript.pyannote[1766].start |
10059.70784375 |
transcript.pyannote[1766].end |
10061.88471875 |
transcript.pyannote[1767].speaker |
SPEAKER_01 |
transcript.pyannote[1767].start |
10063.04909375 |
transcript.pyannote[1767].end |
10071.77346875 |
transcript.pyannote[1768].speaker |
SPEAKER_01 |
transcript.pyannote[1768].start |
10072.07721875 |
transcript.pyannote[1768].end |
10074.82784375 |
transcript.pyannote[1769].speaker |
SPEAKER_01 |
transcript.pyannote[1769].start |
10074.97971875 |
transcript.pyannote[1769].end |
10076.59971875 |
transcript.pyannote[1770].speaker |
SPEAKER_01 |
transcript.pyannote[1770].start |
10077.19034375 |
transcript.pyannote[1770].end |
10078.13534375 |
transcript.pyannote[1771].speaker |
SPEAKER_21 |
transcript.pyannote[1771].start |
10078.96221875 |
transcript.pyannote[1771].end |
10079.21534375 |
transcript.pyannote[1772].speaker |
SPEAKER_01 |
transcript.pyannote[1772].start |
10079.99159375 |
transcript.pyannote[1772].end |
10083.40034375 |
transcript.pyannote[1773].speaker |
SPEAKER_01 |
transcript.pyannote[1773].start |
10084.09221875 |
transcript.pyannote[1773].end |
10090.08284375 |
transcript.pyannote[1774].speaker |
SPEAKER_01 |
transcript.pyannote[1774].start |
10090.99409375 |
transcript.pyannote[1774].end |
10094.57159375 |
transcript.pyannote[1775].speaker |
SPEAKER_20 |
transcript.pyannote[1775].start |
10094.74034375 |
transcript.pyannote[1775].end |
10095.01034375 |
transcript.pyannote[1776].speaker |
SPEAKER_01 |
transcript.pyannote[1776].start |
10094.99346875 |
transcript.pyannote[1776].end |
10097.06909375 |
transcript.pyannote[1777].speaker |
SPEAKER_01 |
transcript.pyannote[1777].start |
10097.96346875 |
transcript.pyannote[1777].end |
10098.63846875 |
transcript.pyannote[1778].speaker |
SPEAKER_01 |
transcript.pyannote[1778].start |
10098.99284375 |
transcript.pyannote[1778].end |
10099.80284375 |
transcript.pyannote[1779].speaker |
SPEAKER_01 |
transcript.pyannote[1779].start |
10100.00534375 |
transcript.pyannote[1779].end |
10101.94596875 |
transcript.pyannote[1780].speaker |
SPEAKER_01 |
transcript.pyannote[1780].start |
10102.68846875 |
transcript.pyannote[1780].end |
10112.17221875 |
transcript.pyannote[1781].speaker |
SPEAKER_01 |
transcript.pyannote[1781].start |
10112.74596875 |
transcript.pyannote[1781].end |
10114.75409375 |
transcript.pyannote[1782].speaker |
SPEAKER_01 |
transcript.pyannote[1782].start |
10115.17596875 |
transcript.pyannote[1782].end |
10116.32346875 |
transcript.pyannote[1783].speaker |
SPEAKER_01 |
transcript.pyannote[1783].start |
10116.93096875 |
transcript.pyannote[1783].end |
10119.74909375 |
transcript.pyannote[1784].speaker |
SPEAKER_01 |
transcript.pyannote[1784].start |
10120.47471875 |
transcript.pyannote[1784].end |
10121.68971875 |
transcript.pyannote[1785].speaker |
SPEAKER_01 |
transcript.pyannote[1785].start |
10122.36471875 |
transcript.pyannote[1785].end |
10123.34346875 |
transcript.pyannote[1786].speaker |
SPEAKER_15 |
transcript.pyannote[1786].start |
10123.69784375 |
transcript.pyannote[1786].end |
10124.37284375 |
transcript.pyannote[1787].speaker |
SPEAKER_15 |
transcript.pyannote[1787].start |
10124.60909375 |
transcript.pyannote[1787].end |
10128.97971875 |
transcript.pyannote[1788].speaker |
SPEAKER_15 |
transcript.pyannote[1788].start |
10129.53659375 |
transcript.pyannote[1788].end |
10130.16096875 |
transcript.pyannote[1789].speaker |
SPEAKER_15 |
transcript.pyannote[1789].start |
10130.63346875 |
transcript.pyannote[1789].end |
10148.79096875 |
transcript.pyannote[1790].speaker |
SPEAKER_01 |
transcript.pyannote[1790].start |
10149.09471875 |
transcript.pyannote[1790].end |
10151.06909375 |
transcript.pyannote[1791].speaker |
SPEAKER_01 |
transcript.pyannote[1791].start |
10151.27159375 |
transcript.pyannote[1791].end |
10153.19534375 |
transcript.pyannote[1792].speaker |
SPEAKER_01 |
transcript.pyannote[1792].start |
10153.48221875 |
transcript.pyannote[1792].end |
10168.14659375 |
transcript.pyannote[1793].speaker |
SPEAKER_00 |
transcript.pyannote[1793].start |
10161.46409375 |
transcript.pyannote[1793].end |
10161.97034375 |
transcript.pyannote[1794].speaker |
SPEAKER_01 |
transcript.pyannote[1794].start |
10168.41659375 |
transcript.pyannote[1794].end |
10174.22159375 |
transcript.pyannote[1795].speaker |
SPEAKER_01 |
transcript.pyannote[1795].start |
10174.67721875 |
transcript.pyannote[1795].end |
10175.70659375 |
transcript.pyannote[1796].speaker |
SPEAKER_15 |
transcript.pyannote[1796].start |
10176.33096875 |
transcript.pyannote[1796].end |
10177.95096875 |
transcript.pyannote[1797].speaker |
SPEAKER_01 |
transcript.pyannote[1797].start |
10177.95096875 |
transcript.pyannote[1797].end |
10178.57534375 |
transcript.pyannote[1798].speaker |
SPEAKER_15 |
transcript.pyannote[1798].start |
10178.57534375 |
transcript.pyannote[1798].end |
10178.96346875 |
transcript.pyannote[1799].speaker |
SPEAKER_01 |
transcript.pyannote[1799].start |
10179.41909375 |
transcript.pyannote[1799].end |
10181.14034375 |
transcript.pyannote[1800].speaker |
SPEAKER_01 |
transcript.pyannote[1800].start |
10182.03471875 |
transcript.pyannote[1800].end |
10184.88659375 |
transcript.pyannote[1801].speaker |
SPEAKER_01 |
transcript.pyannote[1801].start |
10185.42659375 |
transcript.pyannote[1801].end |
10198.25159375 |
transcript.pyannote[1802].speaker |
SPEAKER_01 |
transcript.pyannote[1802].start |
10198.74096875 |
transcript.pyannote[1802].end |
10200.64784375 |
transcript.pyannote[1803].speaker |
SPEAKER_01 |
transcript.pyannote[1803].start |
10201.00221875 |
transcript.pyannote[1803].end |
10201.50846875 |
transcript.pyannote[1804].speaker |
SPEAKER_01 |
transcript.pyannote[1804].start |
10202.53784375 |
transcript.pyannote[1804].end |
10203.36471875 |
transcript.pyannote[1805].speaker |
SPEAKER_01 |
transcript.pyannote[1805].start |
10204.37721875 |
transcript.pyannote[1805].end |
10206.09846875 |
transcript.pyannote[1806].speaker |
SPEAKER_01 |
transcript.pyannote[1806].start |
10206.60471875 |
transcript.pyannote[1806].end |
10211.81909375 |
transcript.pyannote[1807].speaker |
SPEAKER_01 |
transcript.pyannote[1807].start |
10212.42659375 |
transcript.pyannote[1807].end |
10214.80596875 |
transcript.pyannote[1808].speaker |
SPEAKER_01 |
transcript.pyannote[1808].start |
10215.70034375 |
transcript.pyannote[1808].end |
10217.55659375 |
transcript.pyannote[1809].speaker |
SPEAKER_01 |
transcript.pyannote[1809].start |
10217.80971875 |
transcript.pyannote[1809].end |
10224.99846875 |
transcript.pyannote[1810].speaker |
SPEAKER_01 |
transcript.pyannote[1810].start |
10225.43721875 |
transcript.pyannote[1810].end |
10229.40284375 |
transcript.pyannote[1811].speaker |
SPEAKER_01 |
transcript.pyannote[1811].start |
10229.67284375 |
transcript.pyannote[1811].end |
10230.76971875 |
transcript.pyannote[1812].speaker |
SPEAKER_01 |
transcript.pyannote[1812].start |
10231.71471875 |
transcript.pyannote[1812].end |
10232.76096875 |
transcript.pyannote[1813].speaker |
SPEAKER_15 |
transcript.pyannote[1813].start |
10233.57096875 |
transcript.pyannote[1813].end |
10233.87471875 |
transcript.pyannote[1814].speaker |
SPEAKER_15 |
transcript.pyannote[1814].start |
10234.56659375 |
transcript.pyannote[1814].end |
10243.45971875 |
transcript.pyannote[1815].speaker |
SPEAKER_15 |
transcript.pyannote[1815].start |
10243.69596875 |
transcript.pyannote[1815].end |
10247.47596875 |
transcript.pyannote[1816].speaker |
SPEAKER_01 |
transcript.pyannote[1816].start |
10247.83034375 |
transcript.pyannote[1816].end |
10253.17971875 |
transcript.pyannote[1817].speaker |
SPEAKER_01 |
transcript.pyannote[1817].start |
10253.75346875 |
transcript.pyannote[1817].end |
10256.53784375 |
transcript.pyannote[1818].speaker |
SPEAKER_01 |
transcript.pyannote[1818].start |
10256.75721875 |
transcript.pyannote[1818].end |
10258.36034375 |
transcript.pyannote[1819].speaker |
SPEAKER_20 |
transcript.pyannote[1819].start |
10258.36034375 |
transcript.pyannote[1819].end |
10258.69784375 |
transcript.pyannote[1820].speaker |
SPEAKER_01 |
transcript.pyannote[1820].start |
10258.69784375 |
transcript.pyannote[1820].end |
10260.23346875 |
transcript.pyannote[1821].speaker |
SPEAKER_20 |
transcript.pyannote[1821].start |
10260.08159375 |
transcript.pyannote[1821].end |
10260.45284375 |
transcript.pyannote[1822].speaker |
SPEAKER_01 |
transcript.pyannote[1822].start |
10260.68909375 |
transcript.pyannote[1822].end |
10276.88909375 |
transcript.pyannote[1823].speaker |
SPEAKER_01 |
transcript.pyannote[1823].start |
10277.71596875 |
transcript.pyannote[1823].end |
10282.62659375 |
transcript.pyannote[1824].speaker |
SPEAKER_01 |
transcript.pyannote[1824].start |
10282.74471875 |
transcript.pyannote[1824].end |
10291.26659375 |
transcript.pyannote[1825].speaker |
SPEAKER_01 |
transcript.pyannote[1825].start |
10291.77284375 |
transcript.pyannote[1825].end |
10292.83596875 |
transcript.pyannote[1826].speaker |
SPEAKER_01 |
transcript.pyannote[1826].start |
10293.17346875 |
transcript.pyannote[1826].end |
10295.08034375 |
transcript.pyannote[1827].speaker |
SPEAKER_01 |
transcript.pyannote[1827].start |
10296.12659375 |
transcript.pyannote[1827].end |
10296.83534375 |
transcript.pyannote[1828].speaker |
SPEAKER_01 |
transcript.pyannote[1828].start |
10297.02096875 |
transcript.pyannote[1828].end |
10301.44221875 |
transcript.pyannote[1829].speaker |
SPEAKER_01 |
transcript.pyannote[1829].start |
10301.57721875 |
transcript.pyannote[1829].end |
10305.59346875 |
transcript.pyannote[1830].speaker |
SPEAKER_01 |
transcript.pyannote[1830].start |
10306.01534375 |
transcript.pyannote[1830].end |
10309.12034375 |
transcript.pyannote[1831].speaker |
SPEAKER_01 |
transcript.pyannote[1831].start |
10309.64346875 |
transcript.pyannote[1831].end |
10313.08596875 |
transcript.pyannote[1832].speaker |
SPEAKER_01 |
transcript.pyannote[1832].start |
10313.42346875 |
transcript.pyannote[1832].end |
10314.72284375 |
transcript.pyannote[1833].speaker |
SPEAKER_01 |
transcript.pyannote[1833].start |
10315.56659375 |
transcript.pyannote[1833].end |
10327.14284375 |
transcript.pyannote[1834].speaker |
SPEAKER_01 |
transcript.pyannote[1834].start |
10327.59846875 |
transcript.pyannote[1834].end |
10331.32784375 |
transcript.pyannote[1835].speaker |
SPEAKER_01 |
transcript.pyannote[1835].start |
10332.22221875 |
transcript.pyannote[1835].end |
10335.10784375 |
transcript.pyannote[1836].speaker |
SPEAKER_01 |
transcript.pyannote[1836].start |
10335.24284375 |
transcript.pyannote[1836].end |
10337.87534375 |
transcript.pyannote[1837].speaker |
SPEAKER_01 |
transcript.pyannote[1837].start |
10338.56721875 |
transcript.pyannote[1837].end |
10339.10721875 |
transcript.pyannote[1838].speaker |
SPEAKER_01 |
transcript.pyannote[1838].start |
10339.54596875 |
transcript.pyannote[1838].end |
10340.84534375 |
transcript.pyannote[1839].speaker |
SPEAKER_01 |
transcript.pyannote[1839].start |
10341.26721875 |
transcript.pyannote[1839].end |
10342.43159375 |
transcript.pyannote[1840].speaker |
SPEAKER_01 |
transcript.pyannote[1840].start |
10342.85346875 |
transcript.pyannote[1840].end |
10345.97534375 |
transcript.pyannote[1841].speaker |
SPEAKER_01 |
transcript.pyannote[1841].start |
10346.19471875 |
transcript.pyannote[1841].end |
10347.64596875 |
transcript.pyannote[1842].speaker |
SPEAKER_20 |
transcript.pyannote[1842].start |
10346.27909375 |
transcript.pyannote[1842].end |
10346.49846875 |
transcript.pyannote[1843].speaker |
SPEAKER_01 |
transcript.pyannote[1843].start |
10348.81034375 |
transcript.pyannote[1843].end |
10349.68784375 |
transcript.pyannote[1844].speaker |
SPEAKER_01 |
transcript.pyannote[1844].start |
10350.73409375 |
transcript.pyannote[1844].end |
10355.56034375 |
transcript.pyannote[1845].speaker |
SPEAKER_01 |
transcript.pyannote[1845].start |
10356.58971875 |
transcript.pyannote[1845].end |
10361.55096875 |
transcript.pyannote[1846].speaker |
SPEAKER_01 |
transcript.pyannote[1846].start |
10362.27659375 |
transcript.pyannote[1846].end |
10363.54221875 |
transcript.pyannote[1847].speaker |
SPEAKER_01 |
transcript.pyannote[1847].start |
10363.99784375 |
transcript.pyannote[1847].end |
10364.94284375 |
transcript.pyannote[1848].speaker |
SPEAKER_01 |
transcript.pyannote[1848].start |
10365.43221875 |
transcript.pyannote[1848].end |
10367.00159375 |
transcript.pyannote[1849].speaker |
SPEAKER_01 |
transcript.pyannote[1849].start |
10367.79471875 |
transcript.pyannote[1849].end |
10368.80721875 |
transcript.pyannote[1850].speaker |
SPEAKER_01 |
transcript.pyannote[1850].start |
10370.57909375 |
transcript.pyannote[1850].end |
10373.34659375 |
transcript.pyannote[1851].speaker |
SPEAKER_01 |
transcript.pyannote[1851].start |
10374.15659375 |
transcript.pyannote[1851].end |
10377.24471875 |
transcript.pyannote[1852].speaker |
SPEAKER_01 |
transcript.pyannote[1852].start |
10378.05471875 |
transcript.pyannote[1852].end |
10379.84346875 |
transcript.pyannote[1853].speaker |
SPEAKER_01 |
transcript.pyannote[1853].start |
10380.60284375 |
transcript.pyannote[1853].end |
10381.02471875 |
transcript.pyannote[1854].speaker |
SPEAKER_19 |
transcript.pyannote[1854].start |
10381.00784375 |
transcript.pyannote[1854].end |
10381.29471875 |
transcript.pyannote[1855].speaker |
SPEAKER_01 |
transcript.pyannote[1855].start |
10381.78409375 |
transcript.pyannote[1855].end |
10383.60659375 |
transcript.pyannote[1856].speaker |
SPEAKER_01 |
transcript.pyannote[1856].start |
10383.94409375 |
transcript.pyannote[1856].end |
10385.15909375 |
transcript.pyannote[1857].speaker |
SPEAKER_01 |
transcript.pyannote[1857].start |
10385.49659375 |
transcript.pyannote[1857].end |
10393.30971875 |
transcript.pyannote[1858].speaker |
SPEAKER_01 |
transcript.pyannote[1858].start |
10394.35596875 |
transcript.pyannote[1858].end |
10395.73971875 |
transcript.pyannote[1859].speaker |
SPEAKER_01 |
transcript.pyannote[1859].start |
10396.73534375 |
transcript.pyannote[1859].end |
10398.15284375 |
transcript.pyannote[1860].speaker |
SPEAKER_01 |
transcript.pyannote[1860].start |
10398.76034375 |
transcript.pyannote[1860].end |
10402.89471875 |
transcript.pyannote[1861].speaker |
SPEAKER_01 |
transcript.pyannote[1861].start |
10403.75534375 |
transcript.pyannote[1861].end |
10404.61596875 |
transcript.pyannote[1862].speaker |
SPEAKER_01 |
transcript.pyannote[1862].start |
10404.75096875 |
transcript.pyannote[1862].end |
10407.28221875 |
transcript.pyannote[1863].speaker |
SPEAKER_01 |
transcript.pyannote[1863].start |
10407.78846875 |
transcript.pyannote[1863].end |
10411.87221875 |
transcript.pyannote[1864].speaker |
SPEAKER_01 |
transcript.pyannote[1864].start |
10412.05784375 |
transcript.pyannote[1864].end |
10414.03221875 |
transcript.pyannote[1865].speaker |
SPEAKER_01 |
transcript.pyannote[1865].start |
10414.57221875 |
transcript.pyannote[1865].end |
10416.42846875 |
transcript.pyannote[1866].speaker |
SPEAKER_01 |
transcript.pyannote[1866].start |
10417.25534375 |
transcript.pyannote[1866].end |
10419.28034375 |
transcript.pyannote[1867].speaker |
SPEAKER_01 |
transcript.pyannote[1867].start |
10420.83284375 |
transcript.pyannote[1867].end |
10424.12346875 |
transcript.pyannote[1868].speaker |
SPEAKER_20 |
transcript.pyannote[1868].start |
10424.12346875 |
transcript.pyannote[1868].end |
10424.49471875 |
transcript.pyannote[1869].speaker |
SPEAKER_01 |
transcript.pyannote[1869].start |
10424.49471875 |
transcript.pyannote[1869].end |
10426.08096875 |
transcript.pyannote[1870].speaker |
SPEAKER_01 |
transcript.pyannote[1870].start |
10426.80659375 |
transcript.pyannote[1870].end |
10429.48971875 |
transcript.pyannote[1871].speaker |
SPEAKER_01 |
transcript.pyannote[1871].start |
10429.86096875 |
transcript.pyannote[1871].end |
10436.08784375 |
transcript.pyannote[1872].speaker |
SPEAKER_01 |
transcript.pyannote[1872].start |
10436.44221875 |
transcript.pyannote[1872].end |
10443.78284375 |
transcript.pyannote[1873].speaker |
SPEAKER_01 |
transcript.pyannote[1873].start |
10445.28471875 |
transcript.pyannote[1873].end |
10446.24659375 |
transcript.pyannote[1874].speaker |
SPEAKER_01 |
transcript.pyannote[1874].start |
10447.34346875 |
transcript.pyannote[1874].end |
10449.06471875 |
transcript.pyannote[1875].speaker |
SPEAKER_01 |
transcript.pyannote[1875].start |
10449.55409375 |
transcript.pyannote[1875].end |
10450.98846875 |
transcript.pyannote[1876].speaker |
SPEAKER_15 |
transcript.pyannote[1876].start |
10451.76471875 |
transcript.pyannote[1876].end |
10452.08534375 |
transcript.pyannote[1877].speaker |
SPEAKER_15 |
transcript.pyannote[1877].start |
10452.49034375 |
transcript.pyannote[1877].end |
10467.32346875 |
transcript.pyannote[1878].speaker |
SPEAKER_00 |
transcript.pyannote[1878].start |
10459.44284375 |
transcript.pyannote[1878].end |
10459.57784375 |
transcript.pyannote[1879].speaker |
SPEAKER_20 |
transcript.pyannote[1879].start |
10459.57784375 |
transcript.pyannote[1879].end |
10459.61159375 |
transcript.pyannote[1880].speaker |
SPEAKER_00 |
transcript.pyannote[1880].start |
10459.61159375 |
transcript.pyannote[1880].end |
10459.71284375 |
transcript.pyannote[1881].speaker |
SPEAKER_15 |
transcript.pyannote[1881].start |
10467.45846875 |
transcript.pyannote[1881].end |
10469.11221875 |
transcript.pyannote[1882].speaker |
SPEAKER_01 |
transcript.pyannote[1882].start |
10469.51721875 |
transcript.pyannote[1882].end |
10472.40284375 |
transcript.pyannote[1883].speaker |
SPEAKER_15 |
transcript.pyannote[1883].start |
10469.71971875 |
transcript.pyannote[1883].end |
10471.98096875 |
transcript.pyannote[1884].speaker |
SPEAKER_01 |
transcript.pyannote[1884].start |
10472.68971875 |
transcript.pyannote[1884].end |
10476.73971875 |
transcript.pyannote[1885].speaker |
SPEAKER_01 |
transcript.pyannote[1885].start |
10477.07721875 |
transcript.pyannote[1885].end |
10479.43971875 |
transcript.pyannote[1886].speaker |
SPEAKER_01 |
transcript.pyannote[1886].start |
10479.67596875 |
transcript.pyannote[1886].end |
10480.99221875 |
transcript.pyannote[1887].speaker |
SPEAKER_01 |
transcript.pyannote[1887].start |
10482.13971875 |
transcript.pyannote[1887].end |
10486.10534375 |
transcript.pyannote[1888].speaker |
SPEAKER_15 |
transcript.pyannote[1888].start |
10488.55221875 |
transcript.pyannote[1888].end |
10489.44659375 |
transcript.pyannote[1889].speaker |
SPEAKER_01 |
transcript.pyannote[1889].start |
10488.99096875 |
transcript.pyannote[1889].end |
10489.53096875 |
transcript.pyannote[1890].speaker |
SPEAKER_01 |
transcript.pyannote[1890].start |
10490.20596875 |
transcript.pyannote[1890].end |
10492.43346875 |
transcript.pyannote[1891].speaker |
SPEAKER_01 |
transcript.pyannote[1891].start |
10492.48409375 |
transcript.pyannote[1891].end |
10495.03221875 |
transcript.pyannote[1892].speaker |
SPEAKER_20 |
transcript.pyannote[1892].start |
10495.38659375 |
transcript.pyannote[1892].end |
10495.77471875 |
transcript.pyannote[1893].speaker |
SPEAKER_01 |
transcript.pyannote[1893].start |
10495.77471875 |
transcript.pyannote[1893].end |
10511.14784375 |
transcript.pyannote[1894].speaker |
SPEAKER_01 |
transcript.pyannote[1894].start |
10512.00846875 |
transcript.pyannote[1894].end |
10520.12534375 |
transcript.pyannote[1895].speaker |
SPEAKER_01 |
transcript.pyannote[1895].start |
10520.93534375 |
transcript.pyannote[1895].end |
10523.68596875 |
transcript.pyannote[1896].speaker |
SPEAKER_01 |
transcript.pyannote[1896].start |
10524.51284375 |
transcript.pyannote[1896].end |
10526.08221875 |
transcript.pyannote[1897].speaker |
SPEAKER_01 |
transcript.pyannote[1897].start |
10527.73596875 |
transcript.pyannote[1897].end |
10529.13659375 |
transcript.pyannote[1898].speaker |
SPEAKER_01 |
transcript.pyannote[1898].start |
10529.23784375 |
transcript.pyannote[1898].end |
10530.36846875 |
transcript.pyannote[1899].speaker |
SPEAKER_01 |
transcript.pyannote[1899].start |
10530.94221875 |
transcript.pyannote[1899].end |
10531.73534375 |
transcript.pyannote[1900].speaker |
SPEAKER_01 |
transcript.pyannote[1900].start |
10531.81971875 |
transcript.pyannote[1900].end |
10534.94159375 |
transcript.pyannote[1901].speaker |
SPEAKER_15 |
transcript.pyannote[1901].start |
10531.88721875 |
transcript.pyannote[1901].end |
10532.30909375 |
transcript.pyannote[1902].speaker |
SPEAKER_15 |
transcript.pyannote[1902].start |
10534.70534375 |
transcript.pyannote[1902].end |
10535.53221875 |
transcript.pyannote[1903].speaker |
SPEAKER_01 |
transcript.pyannote[1903].start |
10535.70096875 |
transcript.pyannote[1903].end |
10539.07596875 |
transcript.pyannote[1904].speaker |
SPEAKER_01 |
transcript.pyannote[1904].start |
10539.14346875 |
transcript.pyannote[1904].end |
10540.15596875 |
transcript.pyannote[1905].speaker |
SPEAKER_01 |
transcript.pyannote[1905].start |
10540.34159375 |
transcript.pyannote[1905].end |
10543.24409375 |
transcript.pyannote[1906].speaker |
SPEAKER_01 |
transcript.pyannote[1906].start |
10544.07096875 |
transcript.pyannote[1906].end |
10550.83784375 |
transcript.pyannote[1907].speaker |
SPEAKER_01 |
transcript.pyannote[1907].start |
10551.07409375 |
transcript.pyannote[1907].end |
10561.50284375 |
transcript.pyannote[1908].speaker |
SPEAKER_01 |
transcript.pyannote[1908].start |
10561.78971875 |
transcript.pyannote[1908].end |
10566.21096875 |
transcript.pyannote[1909].speaker |
SPEAKER_01 |
transcript.pyannote[1909].start |
10566.83534375 |
transcript.pyannote[1909].end |
10568.25284375 |
transcript.pyannote[1910].speaker |
SPEAKER_01 |
transcript.pyannote[1910].start |
10568.92784375 |
transcript.pyannote[1910].end |
10570.69971875 |
transcript.pyannote[1911].speaker |
SPEAKER_01 |
transcript.pyannote[1911].start |
10571.29034375 |
transcript.pyannote[1911].end |
10573.29846875 |
transcript.pyannote[1912].speaker |
SPEAKER_01 |
transcript.pyannote[1912].start |
10573.63596875 |
transcript.pyannote[1912].end |
10578.86721875 |
transcript.pyannote[1913].speaker |
SPEAKER_01 |
transcript.pyannote[1913].start |
10579.33971875 |
transcript.pyannote[1913].end |
10581.76971875 |
transcript.pyannote[1914].speaker |
SPEAKER_01 |
transcript.pyannote[1914].start |
10582.05659375 |
transcript.pyannote[1914].end |
10584.28409375 |
transcript.pyannote[1915].speaker |
SPEAKER_01 |
transcript.pyannote[1915].start |
10584.55409375 |
transcript.pyannote[1915].end |
10586.46096875 |
transcript.pyannote[1916].speaker |
SPEAKER_01 |
transcript.pyannote[1916].start |
10586.84909375 |
transcript.pyannote[1916].end |
10592.36721875 |
transcript.pyannote[1917].speaker |
SPEAKER_01 |
transcript.pyannote[1917].start |
10592.80596875 |
transcript.pyannote[1917].end |
10594.03784375 |
transcript.pyannote[1918].speaker |
SPEAKER_01 |
transcript.pyannote[1918].start |
10594.30784375 |
transcript.pyannote[1918].end |
10598.10471875 |
transcript.pyannote[1919].speaker |
SPEAKER_22 |
transcript.pyannote[1919].start |
10594.56096875 |
transcript.pyannote[1919].end |
10594.57784375 |
transcript.pyannote[1920].speaker |
SPEAKER_22 |
transcript.pyannote[1920].start |
10595.30346875 |
transcript.pyannote[1920].end |
10595.70846875 |
transcript.pyannote[1921].speaker |
SPEAKER_22 |
transcript.pyannote[1921].start |
10596.83909375 |
transcript.pyannote[1921].end |
10597.02471875 |
transcript.pyannote[1922].speaker |
SPEAKER_20 |
transcript.pyannote[1922].start |
10597.02471875 |
transcript.pyannote[1922].end |
10597.41284375 |
transcript.pyannote[1923].speaker |
SPEAKER_03 |
transcript.pyannote[1923].start |
10597.41284375 |
transcript.pyannote[1923].end |
10597.71659375 |
transcript.pyannote[1924].speaker |
SPEAKER_01 |
transcript.pyannote[1924].start |
10600.28159375 |
transcript.pyannote[1924].end |
10600.29846875 |
transcript.pyannote[1925].speaker |
SPEAKER_03 |
transcript.pyannote[1925].start |
10600.29846875 |
transcript.pyannote[1925].end |
10600.87221875 |
transcript.pyannote[1926].speaker |
SPEAKER_03 |
transcript.pyannote[1926].start |
10603.89284375 |
transcript.pyannote[1926].end |
10607.09909375 |
transcript.pyannote[1927].speaker |
SPEAKER_19 |
transcript.pyannote[1927].start |
10615.45221875 |
transcript.pyannote[1927].end |
10616.59971875 |
transcript.pyannote[1928].speaker |
SPEAKER_19 |
transcript.pyannote[1928].start |
10616.90346875 |
transcript.pyannote[1928].end |
10617.78096875 |
transcript.pyannote[1929].speaker |
SPEAKER_03 |
transcript.pyannote[1929].start |
10618.77659375 |
transcript.pyannote[1929].end |
10620.22784375 |
transcript.pyannote[1930].speaker |
SPEAKER_19 |
transcript.pyannote[1930].start |
10627.93971875 |
transcript.pyannote[1930].end |
10628.64846875 |
transcript.pyannote[1931].speaker |
SPEAKER_19 |
transcript.pyannote[1931].start |
10628.93534375 |
transcript.pyannote[1931].end |
10629.71159375 |
transcript.pyannote[1932].speaker |
SPEAKER_19 |
transcript.pyannote[1932].start |
10630.38659375 |
transcript.pyannote[1932].end |
10631.14596875 |
transcript.pyannote[1933].speaker |
SPEAKER_19 |
transcript.pyannote[1933].start |
10631.53409375 |
transcript.pyannote[1933].end |
10665.60471875 |
transcript.pyannote[1934].speaker |
SPEAKER_19 |
transcript.pyannote[1934].start |
10665.97596875 |
transcript.pyannote[1934].end |
10666.02659375 |
transcript.pyannote[1935].speaker |
SPEAKER_15 |
transcript.pyannote[1935].start |
10666.02659375 |
transcript.pyannote[1935].end |
10671.49409375 |
transcript.pyannote[1936].speaker |
SPEAKER_15 |
transcript.pyannote[1936].start |
10672.16909375 |
transcript.pyannote[1936].end |
10674.29534375 |
transcript.pyannote[1937].speaker |
SPEAKER_19 |
transcript.pyannote[1937].start |
10674.29534375 |
transcript.pyannote[1937].end |
10680.82596875 |
transcript.pyannote[1938].speaker |
SPEAKER_15 |
transcript.pyannote[1938].start |
10680.47159375 |
transcript.pyannote[1938].end |
10680.53909375 |
transcript.pyannote[1939].speaker |
SPEAKER_15 |
transcript.pyannote[1939].start |
10680.82596875 |
transcript.pyannote[1939].end |
10681.72034375 |
transcript.pyannote[1940].speaker |
SPEAKER_19 |
transcript.pyannote[1940].start |
10681.72034375 |
transcript.pyannote[1940].end |
10681.73721875 |
transcript.pyannote[1941].speaker |
SPEAKER_15 |
transcript.pyannote[1941].start |
10681.73721875 |
transcript.pyannote[1941].end |
10681.82159375 |
transcript.pyannote[1942].speaker |
SPEAKER_19 |
transcript.pyannote[1942].start |
10681.82159375 |
transcript.pyannote[1942].end |
10718.03534375 |
transcript.pyannote[1943].speaker |
SPEAKER_15 |
transcript.pyannote[1943].start |
10683.08721875 |
transcript.pyannote[1943].end |
10683.64409375 |
transcript.pyannote[1944].speaker |
SPEAKER_20 |
transcript.pyannote[1944].start |
10683.64409375 |
transcript.pyannote[1944].end |
10683.66096875 |
transcript.pyannote[1945].speaker |
SPEAKER_19 |
transcript.pyannote[1945].start |
10718.37284375 |
transcript.pyannote[1945].end |
10727.23221875 |
transcript.pyannote[1946].speaker |
SPEAKER_15 |
transcript.pyannote[1946].start |
10727.23221875 |
transcript.pyannote[1946].end |
10727.24909375 |
transcript.pyannote[1947].speaker |
SPEAKER_15 |
transcript.pyannote[1947].start |
10727.55284375 |
transcript.pyannote[1947].end |
10727.87346875 |
transcript.pyannote[1948].speaker |
SPEAKER_19 |
transcript.pyannote[1948].start |
10728.44721875 |
transcript.pyannote[1948].end |
10728.97034375 |
transcript.pyannote[1949].speaker |
SPEAKER_15 |
transcript.pyannote[1949].start |
10728.97034375 |
transcript.pyannote[1949].end |
10736.74971875 |
transcript.pyannote[1950].speaker |
SPEAKER_22 |
transcript.pyannote[1950].start |
10736.61471875 |
transcript.pyannote[1950].end |
10737.00284375 |
transcript.pyannote[1951].speaker |
SPEAKER_15 |
transcript.pyannote[1951].start |
10736.93534375 |
transcript.pyannote[1951].end |
10742.82471875 |
transcript.pyannote[1952].speaker |
SPEAKER_22 |
transcript.pyannote[1952].start |
10742.82471875 |
transcript.pyannote[1952].end |
10742.99346875 |
transcript.pyannote[1953].speaker |
SPEAKER_15 |
transcript.pyannote[1953].start |
10742.99346875 |
transcript.pyannote[1953].end |
10750.01346875 |
transcript.pyannote[1954].speaker |
SPEAKER_15 |
transcript.pyannote[1954].start |
10750.45221875 |
transcript.pyannote[1954].end |
10794.51284375 |
transcript.pyannote[1955].speaker |
SPEAKER_00 |
transcript.pyannote[1955].start |
10750.62096875 |
transcript.pyannote[1955].end |
10751.14409375 |
transcript.pyannote[1956].speaker |
SPEAKER_19 |
transcript.pyannote[1956].start |
10794.52971875 |
transcript.pyannote[1956].end |
10819.67346875 |
transcript.pyannote[1957].speaker |
SPEAKER_00 |
transcript.pyannote[1957].start |
10804.11471875 |
transcript.pyannote[1957].end |
10804.13159375 |
transcript.pyannote[1958].speaker |
SPEAKER_15 |
transcript.pyannote[1958].start |
10804.13159375 |
transcript.pyannote[1958].end |
10804.68846875 |
transcript.pyannote[1959].speaker |
SPEAKER_00 |
transcript.pyannote[1959].start |
10804.68846875 |
transcript.pyannote[1959].end |
10804.78971875 |
transcript.pyannote[1960].speaker |
SPEAKER_19 |
transcript.pyannote[1960].start |
10820.43284375 |
transcript.pyannote[1960].end |
10820.80409375 |
transcript.pyannote[1961].speaker |
SPEAKER_15 |
transcript.pyannote[1961].start |
10820.80409375 |
transcript.pyannote[1961].end |
10820.82096875 |
transcript.pyannote[1962].speaker |
SPEAKER_19 |
transcript.pyannote[1962].start |
10821.58034375 |
transcript.pyannote[1962].end |
10821.96846875 |
transcript.pyannote[1963].speaker |
SPEAKER_15 |
transcript.pyannote[1963].start |
10821.96846875 |
transcript.pyannote[1963].end |
10831.85721875 |
transcript.pyannote[1964].speaker |
SPEAKER_19 |
transcript.pyannote[1964].start |
10831.85721875 |
transcript.pyannote[1964].end |
10836.41346875 |
transcript.pyannote[1965].speaker |
SPEAKER_19 |
transcript.pyannote[1965].start |
10836.46409375 |
transcript.pyannote[1965].end |
10837.51034375 |
transcript.pyannote[1966].speaker |
SPEAKER_19 |
transcript.pyannote[1966].start |
10837.89846875 |
transcript.pyannote[1966].end |
10865.32034375 |
transcript.pyannote[1967].speaker |
SPEAKER_19 |
transcript.pyannote[1967].start |
10865.59034375 |
transcript.pyannote[1967].end |
10877.41971875 |
transcript.pyannote[1968].speaker |
SPEAKER_19 |
transcript.pyannote[1968].start |
10877.74034375 |
transcript.pyannote[1968].end |
10886.75159375 |
transcript.pyannote[1969].speaker |
SPEAKER_19 |
transcript.pyannote[1969].start |
10887.17346875 |
transcript.pyannote[1969].end |
10888.96221875 |
transcript.pyannote[1970].speaker |
SPEAKER_15 |
transcript.pyannote[1970].start |
10888.96221875 |
transcript.pyannote[1970].end |
10892.05034375 |
transcript.pyannote[1971].speaker |
SPEAKER_15 |
transcript.pyannote[1971].start |
10892.45534375 |
transcript.pyannote[1971].end |
10904.72346875 |
transcript.pyannote[1972].speaker |
SPEAKER_19 |
transcript.pyannote[1972].start |
10904.72346875 |
transcript.pyannote[1972].end |
10906.96784375 |
transcript.pyannote[1973].speaker |
SPEAKER_15 |
transcript.pyannote[1973].start |
10906.96784375 |
transcript.pyannote[1973].end |
10917.54846875 |
transcript.pyannote[1974].speaker |
SPEAKER_15 |
transcript.pyannote[1974].start |
10917.78471875 |
transcript.pyannote[1974].end |
10917.80159375 |
transcript.pyannote[1975].speaker |
SPEAKER_19 |
transcript.pyannote[1975].start |
10917.80159375 |
transcript.pyannote[1975].end |
10922.99909375 |
transcript.pyannote[1976].speaker |
SPEAKER_19 |
transcript.pyannote[1976].start |
10923.40409375 |
transcript.pyannote[1976].end |
10930.76159375 |
transcript.pyannote[1977].speaker |
SPEAKER_19 |
transcript.pyannote[1977].start |
10931.01471875 |
transcript.pyannote[1977].end |
10932.33096875 |
transcript.pyannote[1978].speaker |
SPEAKER_03 |
transcript.pyannote[1978].start |
10937.12346875 |
transcript.pyannote[1978].end |
10940.41409375 |
transcript.pyannote[1979].speaker |
SPEAKER_05 |
transcript.pyannote[1979].start |
10945.54409375 |
transcript.pyannote[1979].end |
10952.00721875 |
transcript.pyannote[1980].speaker |
SPEAKER_05 |
transcript.pyannote[1980].start |
10952.34471875 |
transcript.pyannote[1980].end |
10960.52909375 |
transcript.pyannote[1981].speaker |
SPEAKER_05 |
transcript.pyannote[1981].start |
10966.16534375 |
transcript.pyannote[1981].end |
10994.34659375 |
transcript.pyannote[1982].speaker |
SPEAKER_03 |
transcript.pyannote[1982].start |
10967.73471875 |
transcript.pyannote[1982].end |
10967.86971875 |
transcript.pyannote[1983].speaker |
SPEAKER_09 |
transcript.pyannote[1983].start |
10967.86971875 |
transcript.pyannote[1983].end |
10968.02159375 |
transcript.pyannote[1984].speaker |
SPEAKER_00 |
transcript.pyannote[1984].start |
10968.02159375 |
transcript.pyannote[1984].end |
10968.05534375 |
transcript.pyannote[1985].speaker |
SPEAKER_05 |
transcript.pyannote[1985].start |
10994.51534375 |
transcript.pyannote[1985].end |
11007.62721875 |
transcript.pyannote[1986].speaker |
SPEAKER_05 |
transcript.pyannote[1986].start |
11008.21784375 |
transcript.pyannote[1986].end |
11033.98596875 |
transcript.pyannote[1987].speaker |
SPEAKER_05 |
transcript.pyannote[1987].start |
11034.62721875 |
transcript.pyannote[1987].end |
11042.84534375 |
transcript.pyannote[1988].speaker |
SPEAKER_05 |
transcript.pyannote[1988].start |
11042.94659375 |
transcript.pyannote[1988].end |
11053.24034375 |
transcript.pyannote[1989].speaker |
SPEAKER_05 |
transcript.pyannote[1989].start |
11053.69596875 |
transcript.pyannote[1989].end |
11061.05346875 |
transcript.pyannote[1990].speaker |
SPEAKER_05 |
transcript.pyannote[1990].start |
11061.25596875 |
transcript.pyannote[1990].end |
11073.16971875 |
transcript.pyannote[1991].speaker |
SPEAKER_05 |
transcript.pyannote[1991].start |
11073.69284375 |
transcript.pyannote[1991].end |
11106.17721875 |
transcript.pyannote[1992].speaker |
SPEAKER_05 |
transcript.pyannote[1992].start |
11106.37971875 |
transcript.pyannote[1992].end |
11123.59221875 |
transcript.pyannote[1993].speaker |
SPEAKER_05 |
transcript.pyannote[1993].start |
11123.77784375 |
transcript.pyannote[1993].end |
11127.06846875 |
transcript.pyannote[1994].speaker |
SPEAKER_05 |
transcript.pyannote[1994].start |
11127.49034375 |
transcript.pyannote[1994].end |
11149.10721875 |
transcript.pyannote[1995].speaker |
SPEAKER_05 |
transcript.pyannote[1995].start |
11149.30971875 |
transcript.pyannote[1995].end |
11242.76346875 |
transcript.pyannote[1996].speaker |
SPEAKER_05 |
transcript.pyannote[1996].start |
11243.64096875 |
transcript.pyannote[1996].end |
11246.29034375 |
transcript.pyannote[1997].speaker |
SPEAKER_05 |
transcript.pyannote[1997].start |
11246.49284375 |
transcript.pyannote[1997].end |
11247.62346875 |
transcript.pyannote[1998].speaker |
SPEAKER_05 |
transcript.pyannote[1998].start |
11247.79221875 |
transcript.pyannote[1998].end |
11251.58909375 |
transcript.pyannote[1999].speaker |
SPEAKER_05 |
transcript.pyannote[1999].start |
11252.14596875 |
transcript.pyannote[1999].end |
11258.05221875 |
transcript.pyannote[2000].speaker |
SPEAKER_05 |
transcript.pyannote[2000].start |
11258.11971875 |
transcript.pyannote[2000].end |
11260.02659375 |
transcript.pyannote[2001].speaker |
SPEAKER_05 |
transcript.pyannote[2001].start |
11260.63409375 |
transcript.pyannote[2001].end |
11261.79846875 |
transcript.pyannote[2002].speaker |
SPEAKER_15 |
transcript.pyannote[2002].start |
11264.19471875 |
transcript.pyannote[2002].end |
11265.22409375 |
transcript.pyannote[2003].speaker |
SPEAKER_05 |
transcript.pyannote[2003].start |
11265.29159375 |
transcript.pyannote[2003].end |
11268.04221875 |
transcript.pyannote[2004].speaker |
SPEAKER_05 |
transcript.pyannote[2004].start |
11268.53159375 |
transcript.pyannote[2004].end |
11274.91034375 |
transcript.pyannote[2005].speaker |
SPEAKER_05 |
transcript.pyannote[2005].start |
11275.21409375 |
transcript.pyannote[2005].end |
11290.28346875 |
transcript.pyannote[2006].speaker |
SPEAKER_05 |
transcript.pyannote[2006].start |
11290.94159375 |
transcript.pyannote[2006].end |
11299.04159375 |
transcript.pyannote[2007].speaker |
SPEAKER_05 |
transcript.pyannote[2007].start |
11299.10909375 |
transcript.pyannote[2007].end |
11300.74596875 |
transcript.pyannote[2008].speaker |
SPEAKER_05 |
transcript.pyannote[2008].start |
11300.94846875 |
transcript.pyannote[2008].end |
11301.55596875 |
transcript.pyannote[2009].speaker |
SPEAKER_05 |
transcript.pyannote[2009].start |
11304.17159375 |
transcript.pyannote[2009].end |
11306.36534375 |
transcript.pyannote[2010].speaker |
SPEAKER_00 |
transcript.pyannote[2010].start |
11304.89721875 |
transcript.pyannote[2010].end |
11304.91409375 |
transcript.pyannote[2011].speaker |
SPEAKER_00 |
transcript.pyannote[2011].start |
11305.04909375 |
transcript.pyannote[2011].end |
11305.15034375 |
transcript.pyannote[2012].speaker |
SPEAKER_05 |
transcript.pyannote[2012].start |
11307.04034375 |
transcript.pyannote[2012].end |
11308.15409375 |
transcript.pyannote[2013].speaker |
SPEAKER_05 |
transcript.pyannote[2013].start |
11308.99784375 |
transcript.pyannote[2013].end |
11309.97659375 |
transcript.pyannote[2014].speaker |
SPEAKER_05 |
transcript.pyannote[2014].start |
11310.70221875 |
transcript.pyannote[2014].end |
11311.76534375 |
transcript.pyannote[2015].speaker |
SPEAKER_05 |
transcript.pyannote[2015].start |
11312.25471875 |
transcript.pyannote[2015].end |
11313.48659375 |
transcript.pyannote[2016].speaker |
SPEAKER_05 |
transcript.pyannote[2016].start |
11314.02659375 |
transcript.pyannote[2016].end |
11314.44846875 |
transcript.pyannote[2017].speaker |
SPEAKER_05 |
transcript.pyannote[2017].start |
11315.39346875 |
transcript.pyannote[2017].end |
11316.13596875 |
transcript.pyannote[2018].speaker |
SPEAKER_05 |
transcript.pyannote[2018].start |
11316.40596875 |
transcript.pyannote[2018].end |
11320.03409375 |
transcript.pyannote[2019].speaker |
SPEAKER_05 |
transcript.pyannote[2019].start |
11320.60784375 |
transcript.pyannote[2019].end |
11340.40221875 |
transcript.pyannote[2020].speaker |
SPEAKER_05 |
transcript.pyannote[2020].start |
11340.85784375 |
transcript.pyannote[2020].end |
11347.48971875 |
transcript.pyannote[2021].speaker |
SPEAKER_05 |
transcript.pyannote[2021].start |
11348.14784375 |
transcript.pyannote[2021].end |
11352.16409375 |
transcript.pyannote[2022].speaker |
SPEAKER_05 |
transcript.pyannote[2022].start |
11352.24846875 |
transcript.pyannote[2022].end |
11364.28034375 |
transcript.pyannote[2023].speaker |
SPEAKER_05 |
transcript.pyannote[2023].start |
11364.65159375 |
transcript.pyannote[2023].end |
11368.12784375 |
transcript.pyannote[2024].speaker |
SPEAKER_05 |
transcript.pyannote[2024].start |
11368.16159375 |
transcript.pyannote[2024].end |
11369.39346875 |
transcript.pyannote[2025].speaker |
SPEAKER_05 |
transcript.pyannote[2025].start |
11369.62971875 |
transcript.pyannote[2025].end |
11370.25409375 |
transcript.pyannote[2026].speaker |
SPEAKER_15 |
transcript.pyannote[2026].start |
11371.04721875 |
transcript.pyannote[2026].end |
11371.53659375 |
transcript.pyannote[2027].speaker |
SPEAKER_03 |
transcript.pyannote[2027].start |
11377.99971875 |
transcript.pyannote[2027].end |
11382.72471875 |
transcript.pyannote[2028].speaker |
SPEAKER_10 |
transcript.pyannote[2028].start |
11389.77846875 |
transcript.pyannote[2028].end |
11392.37721875 |
transcript.pyannote[2029].speaker |
SPEAKER_10 |
transcript.pyannote[2029].start |
11400.15659375 |
transcript.pyannote[2029].end |
11405.21909375 |
transcript.pyannote[2030].speaker |
SPEAKER_00 |
transcript.pyannote[2030].start |
11401.55721875 |
transcript.pyannote[2030].end |
11402.19846875 |
transcript.pyannote[2031].speaker |
SPEAKER_10 |
transcript.pyannote[2031].start |
11405.53971875 |
transcript.pyannote[2031].end |
11413.23471875 |
transcript.pyannote[2032].speaker |
SPEAKER_15 |
transcript.pyannote[2032].start |
11413.43721875 |
transcript.pyannote[2032].end |
11422.14471875 |
transcript.pyannote[2033].speaker |
SPEAKER_10 |
transcript.pyannote[2033].start |
11422.12784375 |
transcript.pyannote[2033].end |
11425.97534375 |
transcript.pyannote[2034].speaker |
SPEAKER_15 |
transcript.pyannote[2034].start |
11425.31721875 |
transcript.pyannote[2034].end |
11426.02596875 |
transcript.pyannote[2035].speaker |
SPEAKER_22 |
transcript.pyannote[2035].start |
11426.02596875 |
transcript.pyannote[2035].end |
11426.26221875 |
transcript.pyannote[2036].speaker |
SPEAKER_10 |
transcript.pyannote[2036].start |
11426.17784375 |
transcript.pyannote[2036].end |
11427.27471875 |
transcript.pyannote[2037].speaker |
SPEAKER_10 |
transcript.pyannote[2037].start |
11427.52784375 |
transcript.pyannote[2037].end |
11434.59846875 |
transcript.pyannote[2038].speaker |
SPEAKER_10 |
transcript.pyannote[2038].start |
11435.02034375 |
transcript.pyannote[2038].end |
11435.39159375 |
transcript.pyannote[2039].speaker |
SPEAKER_10 |
transcript.pyannote[2039].start |
11435.84721875 |
transcript.pyannote[2039].end |
11442.22596875 |
transcript.pyannote[2040].speaker |
SPEAKER_10 |
transcript.pyannote[2040].start |
11442.61409375 |
transcript.pyannote[2040].end |
11447.89596875 |
transcript.pyannote[2041].speaker |
SPEAKER_10 |
transcript.pyannote[2041].start |
11448.48659375 |
transcript.pyannote[2041].end |
11455.74284375 |
transcript.pyannote[2042].speaker |
SPEAKER_10 |
transcript.pyannote[2042].start |
11456.09721875 |
transcript.pyannote[2042].end |
11458.08846875 |
transcript.pyannote[2043].speaker |
SPEAKER_10 |
transcript.pyannote[2043].start |
11458.42596875 |
transcript.pyannote[2043].end |
11468.16284375 |
transcript.pyannote[2044].speaker |
SPEAKER_10 |
transcript.pyannote[2044].start |
11468.33159375 |
transcript.pyannote[2044].end |
11469.61409375 |
transcript.pyannote[2045].speaker |
SPEAKER_10 |
transcript.pyannote[2045].start |
11469.96846875 |
transcript.pyannote[2045].end |
11474.71034375 |
transcript.pyannote[2046].speaker |
SPEAKER_10 |
transcript.pyannote[2046].start |
11475.33471875 |
transcript.pyannote[2046].end |
11476.24596875 |
transcript.pyannote[2047].speaker |
SPEAKER_10 |
transcript.pyannote[2047].start |
11476.46534375 |
transcript.pyannote[2047].end |
11480.24534375 |
transcript.pyannote[2048].speaker |
SPEAKER_10 |
transcript.pyannote[2048].start |
11480.58284375 |
transcript.pyannote[2048].end |
11482.18596875 |
transcript.pyannote[2049].speaker |
SPEAKER_10 |
transcript.pyannote[2049].start |
11482.65846875 |
transcript.pyannote[2049].end |
11484.27846875 |
transcript.pyannote[2050].speaker |
SPEAKER_10 |
transcript.pyannote[2050].start |
11485.17284375 |
transcript.pyannote[2050].end |
11490.96096875 |
transcript.pyannote[2051].speaker |
SPEAKER_10 |
transcript.pyannote[2051].start |
11491.21409375 |
transcript.pyannote[2051].end |
11492.69909375 |
transcript.pyannote[2052].speaker |
SPEAKER_10 |
transcript.pyannote[2052].start |
11493.15471875 |
transcript.pyannote[2052].end |
11500.66409375 |
transcript.pyannote[2053].speaker |
SPEAKER_10 |
transcript.pyannote[2053].start |
11501.22096875 |
transcript.pyannote[2053].end |
11502.25034375 |
transcript.pyannote[2054].speaker |
SPEAKER_22 |
transcript.pyannote[2054].start |
11502.80721875 |
transcript.pyannote[2054].end |
11502.90846875 |
transcript.pyannote[2055].speaker |
SPEAKER_22 |
transcript.pyannote[2055].start |
11503.70159375 |
transcript.pyannote[2055].end |
11504.25846875 |
transcript.pyannote[2056].speaker |
SPEAKER_10 |
transcript.pyannote[2056].start |
11505.18659375 |
transcript.pyannote[2056].end |
11508.34221875 |
transcript.pyannote[2057].speaker |
SPEAKER_15 |
transcript.pyannote[2057].start |
11508.66284375 |
transcript.pyannote[2057].end |
11513.21909375 |
transcript.pyannote[2058].speaker |
SPEAKER_10 |
transcript.pyannote[2058].start |
11512.27409375 |
transcript.pyannote[2058].end |
11515.91909375 |
transcript.pyannote[2059].speaker |
SPEAKER_15 |
transcript.pyannote[2059].start |
11514.41721875 |
transcript.pyannote[2059].end |
11514.58596875 |
transcript.pyannote[2060].speaker |
SPEAKER_10 |
transcript.pyannote[2060].start |
11516.10471875 |
transcript.pyannote[2060].end |
11517.21846875 |
transcript.pyannote[2061].speaker |
SPEAKER_10 |
transcript.pyannote[2061].start |
11517.40409375 |
transcript.pyannote[2061].end |
11518.01159375 |
transcript.pyannote[2062].speaker |
SPEAKER_10 |
transcript.pyannote[2062].start |
11518.61909375 |
transcript.pyannote[2062].end |
11519.93534375 |
transcript.pyannote[2063].speaker |
SPEAKER_10 |
transcript.pyannote[2063].start |
11520.34034375 |
transcript.pyannote[2063].end |
11524.49159375 |
transcript.pyannote[2064].speaker |
SPEAKER_10 |
transcript.pyannote[2064].start |
11524.67721875 |
transcript.pyannote[2064].end |
11525.40284375 |
transcript.pyannote[2065].speaker |
SPEAKER_10 |
transcript.pyannote[2065].start |
11525.84159375 |
transcript.pyannote[2065].end |
11531.73096875 |
transcript.pyannote[2066].speaker |
SPEAKER_10 |
transcript.pyannote[2066].start |
11532.25409375 |
transcript.pyannote[2066].end |
11534.90346875 |
transcript.pyannote[2067].speaker |
SPEAKER_10 |
transcript.pyannote[2067].start |
11535.98346875 |
transcript.pyannote[2067].end |
11546.27721875 |
transcript.pyannote[2068].speaker |
SPEAKER_10 |
transcript.pyannote[2068].start |
11546.63159375 |
transcript.pyannote[2068].end |
11554.96784375 |
transcript.pyannote[2069].speaker |
SPEAKER_10 |
transcript.pyannote[2069].start |
11555.11971875 |
transcript.pyannote[2069].end |
11559.57471875 |
transcript.pyannote[2070].speaker |
SPEAKER_10 |
transcript.pyannote[2070].start |
11560.09784375 |
transcript.pyannote[2070].end |
11562.89909375 |
transcript.pyannote[2071].speaker |
SPEAKER_10 |
transcript.pyannote[2071].start |
11563.30409375 |
transcript.pyannote[2071].end |
11565.07596875 |
transcript.pyannote[2072].speaker |
SPEAKER_10 |
transcript.pyannote[2072].start |
11565.85221875 |
transcript.pyannote[2072].end |
11566.98284375 |
transcript.pyannote[2073].speaker |
SPEAKER_15 |
transcript.pyannote[2073].start |
11567.52284375 |
transcript.pyannote[2073].end |
11587.04721875 |
transcript.pyannote[2074].speaker |
SPEAKER_14 |
transcript.pyannote[2074].start |
11574.76221875 |
transcript.pyannote[2074].end |
11575.21784375 |
transcript.pyannote[2075].speaker |
SPEAKER_14 |
transcript.pyannote[2075].start |
11575.70721875 |
transcript.pyannote[2075].end |
11575.90971875 |
transcript.pyannote[2076].speaker |
SPEAKER_14 |
transcript.pyannote[2076].start |
11579.25096875 |
transcript.pyannote[2076].end |
11579.28471875 |
transcript.pyannote[2077].speaker |
SPEAKER_10 |
transcript.pyannote[2077].start |
11579.28471875 |
transcript.pyannote[2077].end |
11580.85409375 |
transcript.pyannote[2078].speaker |
SPEAKER_10 |
transcript.pyannote[2078].start |
11585.69721875 |
transcript.pyannote[2078].end |
11594.25284375 |
transcript.pyannote[2079].speaker |
SPEAKER_22 |
transcript.pyannote[2079].start |
11593.03784375 |
transcript.pyannote[2079].end |
11593.61159375 |
transcript.pyannote[2080].speaker |
SPEAKER_10 |
transcript.pyannote[2080].start |
11594.40471875 |
transcript.pyannote[2080].end |
11600.10846875 |
transcript.pyannote[2081].speaker |
SPEAKER_10 |
transcript.pyannote[2081].start |
11600.24346875 |
transcript.pyannote[2081].end |
11609.87909375 |
transcript.pyannote[2082].speaker |
SPEAKER_00 |
transcript.pyannote[2082].start |
11606.50409375 |
transcript.pyannote[2082].end |
11606.87534375 |
transcript.pyannote[2083].speaker |
SPEAKER_10 |
transcript.pyannote[2083].start |
11610.19971875 |
transcript.pyannote[2083].end |
11614.03034375 |
transcript.pyannote[2084].speaker |
SPEAKER_10 |
transcript.pyannote[2084].start |
11614.18221875 |
transcript.pyannote[2084].end |
11617.38846875 |
transcript.pyannote[2085].speaker |
SPEAKER_15 |
transcript.pyannote[2085].start |
11617.42221875 |
transcript.pyannote[2085].end |
11620.83096875 |
transcript.pyannote[2086].speaker |
SPEAKER_10 |
transcript.pyannote[2086].start |
11620.98284375 |
transcript.pyannote[2086].end |
11624.37471875 |
transcript.pyannote[2087].speaker |
SPEAKER_10 |
transcript.pyannote[2087].start |
11625.82596875 |
transcript.pyannote[2087].end |
11636.35596875 |
transcript.pyannote[2088].speaker |
SPEAKER_10 |
transcript.pyannote[2088].start |
11636.60909375 |
transcript.pyannote[2088].end |
11647.08846875 |
transcript.pyannote[2089].speaker |
SPEAKER_10 |
transcript.pyannote[2089].start |
11647.39221875 |
transcript.pyannote[2089].end |
11647.89846875 |
transcript.pyannote[2090].speaker |
SPEAKER_10 |
transcript.pyannote[2090].start |
11648.55659375 |
transcript.pyannote[2090].end |
11682.17159375 |
transcript.pyannote[2091].speaker |
SPEAKER_15 |
transcript.pyannote[2091].start |
11682.35721875 |
transcript.pyannote[2091].end |
11682.86346875 |
transcript.pyannote[2092].speaker |
SPEAKER_15 |
transcript.pyannote[2092].start |
11683.35284375 |
transcript.pyannote[2092].end |
11702.75909375 |
transcript.pyannote[2093].speaker |
SPEAKER_24 |
transcript.pyannote[2093].start |
11690.37284375 |
transcript.pyannote[2093].end |
11690.71034375 |
transcript.pyannote[2094].speaker |
SPEAKER_10 |
transcript.pyannote[2094].start |
11700.75096875 |
transcript.pyannote[2094].end |
11710.15034375 |
transcript.pyannote[2095].speaker |
SPEAKER_10 |
transcript.pyannote[2095].start |
11710.30221875 |
transcript.pyannote[2095].end |
11713.42409375 |
transcript.pyannote[2096].speaker |
SPEAKER_10 |
transcript.pyannote[2096].start |
11713.59284375 |
transcript.pyannote[2096].end |
11719.41471875 |
transcript.pyannote[2097].speaker |
SPEAKER_20 |
transcript.pyannote[2097].start |
11718.14909375 |
transcript.pyannote[2097].end |
11718.19971875 |
transcript.pyannote[2098].speaker |
SPEAKER_10 |
transcript.pyannote[2098].start |
11719.78596875 |
transcript.pyannote[2098].end |
11723.93721875 |
transcript.pyannote[2099].speaker |
SPEAKER_10 |
transcript.pyannote[2099].start |
11724.24096875 |
transcript.pyannote[2099].end |
11728.39221875 |
transcript.pyannote[2100].speaker |
SPEAKER_22 |
transcript.pyannote[2100].start |
11728.99971875 |
transcript.pyannote[2100].end |
11729.30346875 |
transcript.pyannote[2101].speaker |
SPEAKER_10 |
transcript.pyannote[2101].start |
11729.30346875 |
transcript.pyannote[2101].end |
11729.92784375 |
transcript.pyannote[2102].speaker |
SPEAKER_03 |
transcript.pyannote[2102].start |
11733.58971875 |
transcript.pyannote[2102].end |
11734.31534375 |
transcript.pyannote[2103].speaker |
SPEAKER_03 |
transcript.pyannote[2103].start |
11736.37409375 |
transcript.pyannote[2103].end |
11745.82409375 |
transcript.pyannote[2104].speaker |
SPEAKER_13 |
transcript.pyannote[2104].start |
11747.14034375 |
transcript.pyannote[2104].end |
11748.99659375 |
transcript.pyannote[2105].speaker |
SPEAKER_03 |
transcript.pyannote[2105].start |
11749.45221875 |
transcript.pyannote[2105].end |
11750.43096875 |
transcript.pyannote[2106].speaker |
SPEAKER_13 |
transcript.pyannote[2106].start |
11757.78846875 |
transcript.pyannote[2106].end |
11758.68284375 |
transcript.pyannote[2107].speaker |
SPEAKER_13 |
transcript.pyannote[2107].start |
11758.83471875 |
transcript.pyannote[2107].end |
11759.30721875 |
transcript.pyannote[2108].speaker |
SPEAKER_13 |
transcript.pyannote[2108].start |
11760.06659375 |
transcript.pyannote[2108].end |
11762.19284375 |
transcript.pyannote[2109].speaker |
SPEAKER_13 |
transcript.pyannote[2109].start |
11762.83409375 |
transcript.pyannote[2109].end |
11766.90096875 |
transcript.pyannote[2110].speaker |
SPEAKER_13 |
transcript.pyannote[2110].start |
11767.01909375 |
transcript.pyannote[2110].end |
11778.12284375 |
transcript.pyannote[2111].speaker |
SPEAKER_13 |
transcript.pyannote[2111].start |
11778.44346875 |
transcript.pyannote[2111].end |
11791.79159375 |
transcript.pyannote[2112].speaker |
SPEAKER_20 |
transcript.pyannote[2112].start |
11791.79159375 |
transcript.pyannote[2112].end |
11792.17971875 |
transcript.pyannote[2113].speaker |
SPEAKER_13 |
transcript.pyannote[2113].start |
11792.48346875 |
transcript.pyannote[2113].end |
11800.92096875 |
transcript.pyannote[2114].speaker |
SPEAKER_13 |
transcript.pyannote[2114].start |
11801.44409375 |
transcript.pyannote[2114].end |
11802.86159375 |
transcript.pyannote[2115].speaker |
SPEAKER_13 |
transcript.pyannote[2115].start |
11803.19909375 |
transcript.pyannote[2115].end |
11808.44721875 |
transcript.pyannote[2116].speaker |
SPEAKER_13 |
transcript.pyannote[2116].start |
11808.91971875 |
transcript.pyannote[2116].end |
11812.27784375 |
transcript.pyannote[2117].speaker |
SPEAKER_13 |
transcript.pyannote[2117].start |
11812.91909375 |
transcript.pyannote[2117].end |
11813.42534375 |
transcript.pyannote[2118].speaker |
SPEAKER_13 |
transcript.pyannote[2118].start |
11813.81346875 |
transcript.pyannote[2118].end |
11814.82596875 |
transcript.pyannote[2119].speaker |
SPEAKER_13 |
transcript.pyannote[2119].start |
11815.26471875 |
transcript.pyannote[2119].end |
11818.55534375 |
transcript.pyannote[2120].speaker |
SPEAKER_13 |
transcript.pyannote[2120].start |
11819.66909375 |
transcript.pyannote[2120].end |
11823.26346875 |
transcript.pyannote[2121].speaker |
SPEAKER_13 |
transcript.pyannote[2121].start |
11823.65159375 |
transcript.pyannote[2121].end |
11831.43096875 |
transcript.pyannote[2122].speaker |
SPEAKER_13 |
transcript.pyannote[2122].start |
11832.13971875 |
transcript.pyannote[2122].end |
11839.73346875 |
transcript.pyannote[2123].speaker |
SPEAKER_13 |
transcript.pyannote[2123].start |
11840.18909375 |
transcript.pyannote[2123].end |
11841.03284375 |
transcript.pyannote[2124].speaker |
SPEAKER_13 |
transcript.pyannote[2124].start |
11841.74159375 |
transcript.pyannote[2124].end |
11842.39971875 |
transcript.pyannote[2125].speaker |
SPEAKER_13 |
transcript.pyannote[2125].start |
11842.61909375 |
transcript.pyannote[2125].end |
11843.20971875 |
transcript.pyannote[2126].speaker |
SPEAKER_13 |
transcript.pyannote[2126].start |
11844.42471875 |
transcript.pyannote[2126].end |
11844.81284375 |
transcript.pyannote[2127].speaker |
SPEAKER_13 |
transcript.pyannote[2127].start |
11845.79159375 |
transcript.pyannote[2127].end |
11846.65221875 |
transcript.pyannote[2128].speaker |
SPEAKER_13 |
transcript.pyannote[2128].start |
11846.80409375 |
transcript.pyannote[2128].end |
11849.06534375 |
transcript.pyannote[2129].speaker |
SPEAKER_13 |
transcript.pyannote[2129].start |
11849.09909375 |
transcript.pyannote[2129].end |
11857.90784375 |
transcript.pyannote[2130].speaker |
SPEAKER_13 |
transcript.pyannote[2130].start |
11858.61659375 |
transcript.pyannote[2130].end |
11868.62346875 |
transcript.pyannote[2131].speaker |
SPEAKER_13 |
transcript.pyannote[2131].start |
11868.80909375 |
transcript.pyannote[2131].end |
11877.34784375 |
transcript.pyannote[2132].speaker |
SPEAKER_00 |
transcript.pyannote[2132].start |
11868.89346875 |
transcript.pyannote[2132].end |
11869.68659375 |
transcript.pyannote[2133].speaker |
SPEAKER_00 |
transcript.pyannote[2133].start |
11869.85534375 |
transcript.pyannote[2133].end |
11870.26034375 |
transcript.pyannote[2134].speaker |
SPEAKER_13 |
transcript.pyannote[2134].start |
11877.85409375 |
transcript.pyannote[2134].end |
11880.06471875 |
transcript.pyannote[2135].speaker |
SPEAKER_13 |
transcript.pyannote[2135].start |
11880.33471875 |
transcript.pyannote[2135].end |
11881.33034375 |
transcript.pyannote[2136].speaker |
SPEAKER_13 |
transcript.pyannote[2136].start |
11882.07284375 |
transcript.pyannote[2136].end |
11885.19471875 |
transcript.pyannote[2137].speaker |
SPEAKER_13 |
transcript.pyannote[2137].start |
11885.63346875 |
transcript.pyannote[2137].end |
11887.62471875 |
transcript.pyannote[2138].speaker |
SPEAKER_13 |
transcript.pyannote[2138].start |
11888.16471875 |
transcript.pyannote[2138].end |
11888.94096875 |
transcript.pyannote[2139].speaker |
SPEAKER_13 |
transcript.pyannote[2139].start |
11889.64971875 |
transcript.pyannote[2139].end |
11895.64034375 |
transcript.pyannote[2140].speaker |
SPEAKER_13 |
transcript.pyannote[2140].start |
11896.51784375 |
transcript.pyannote[2140].end |
11899.08284375 |
transcript.pyannote[2141].speaker |
SPEAKER_13 |
transcript.pyannote[2141].start |
11899.52159375 |
transcript.pyannote[2141].end |
11900.38221875 |
transcript.pyannote[2142].speaker |
SPEAKER_13 |
transcript.pyannote[2142].start |
11900.78721875 |
transcript.pyannote[2142].end |
11902.25534375 |
transcript.pyannote[2143].speaker |
SPEAKER_13 |
transcript.pyannote[2143].start |
11903.04846875 |
transcript.pyannote[2143].end |
11904.29721875 |
transcript.pyannote[2144].speaker |
SPEAKER_13 |
transcript.pyannote[2144].start |
11904.51659375 |
transcript.pyannote[2144].end |
11908.48221875 |
transcript.pyannote[2145].speaker |
SPEAKER_13 |
transcript.pyannote[2145].start |
11909.05596875 |
transcript.pyannote[2145].end |
11911.03034375 |
transcript.pyannote[2146].speaker |
SPEAKER_13 |
transcript.pyannote[2146].start |
11911.72221875 |
transcript.pyannote[2146].end |
11912.21159375 |
transcript.pyannote[2147].speaker |
SPEAKER_13 |
transcript.pyannote[2147].start |
11912.68409375 |
transcript.pyannote[2147].end |
11915.01284375 |
transcript.pyannote[2148].speaker |
SPEAKER_13 |
transcript.pyannote[2148].start |
11915.24909375 |
transcript.pyannote[2148].end |
11917.93221875 |
transcript.pyannote[2149].speaker |
SPEAKER_13 |
transcript.pyannote[2149].start |
11918.80971875 |
transcript.pyannote[2149].end |
11919.58596875 |
transcript.pyannote[2150].speaker |
SPEAKER_15 |
transcript.pyannote[2150].start |
11919.58596875 |
transcript.pyannote[2150].end |
11919.61971875 |
transcript.pyannote[2151].speaker |
SPEAKER_13 |
transcript.pyannote[2151].start |
11921.03721875 |
transcript.pyannote[2151].end |
11921.05409375 |
transcript.pyannote[2152].speaker |
SPEAKER_15 |
transcript.pyannote[2152].start |
11921.05409375 |
transcript.pyannote[2152].end |
11924.85096875 |
transcript.pyannote[2153].speaker |
SPEAKER_15 |
transcript.pyannote[2153].start |
11925.12096875 |
transcript.pyannote[2153].end |
11937.18659375 |
transcript.pyannote[2154].speaker |
SPEAKER_13 |
transcript.pyannote[2154].start |
11927.41596875 |
transcript.pyannote[2154].end |
11927.90534375 |
transcript.pyannote[2155].speaker |
SPEAKER_15 |
transcript.pyannote[2155].start |
11937.52409375 |
transcript.pyannote[2155].end |
11961.09846875 |
transcript.pyannote[2156].speaker |
SPEAKER_13 |
transcript.pyannote[2156].start |
11944.29096875 |
transcript.pyannote[2156].end |
11944.96596875 |
transcript.pyannote[2157].speaker |
SPEAKER_13 |
transcript.pyannote[2157].start |
11945.65784375 |
transcript.pyannote[2157].end |
11945.87721875 |
transcript.pyannote[2158].speaker |
SPEAKER_13 |
transcript.pyannote[2158].start |
11948.35784375 |
transcript.pyannote[2158].end |
11949.01596875 |
transcript.pyannote[2159].speaker |
SPEAKER_13 |
transcript.pyannote[2159].start |
11959.63034375 |
transcript.pyannote[2159].end |
11959.69784375 |
transcript.pyannote[2160].speaker |
SPEAKER_23 |
transcript.pyannote[2160].start |
11959.69784375 |
transcript.pyannote[2160].end |
11959.86659375 |
transcript.pyannote[2161].speaker |
SPEAKER_13 |
transcript.pyannote[2161].start |
11959.86659375 |
transcript.pyannote[2161].end |
11959.91721875 |
transcript.pyannote[2162].speaker |
SPEAKER_13 |
transcript.pyannote[2162].start |
11961.09846875 |
transcript.pyannote[2162].end |
11961.57096875 |
transcript.pyannote[2163].speaker |
SPEAKER_15 |
transcript.pyannote[2163].start |
11961.57096875 |
transcript.pyannote[2163].end |
11961.67221875 |
transcript.pyannote[2164].speaker |
SPEAKER_13 |
transcript.pyannote[2164].start |
11961.67221875 |
transcript.pyannote[2164].end |
11961.75659375 |
transcript.pyannote[2165].speaker |
SPEAKER_15 |
transcript.pyannote[2165].start |
11961.75659375 |
transcript.pyannote[2165].end |
11962.00971875 |
transcript.pyannote[2166].speaker |
SPEAKER_13 |
transcript.pyannote[2166].start |
11962.00971875 |
transcript.pyannote[2166].end |
11962.04346875 |
transcript.pyannote[2167].speaker |
SPEAKER_15 |
transcript.pyannote[2167].start |
11962.61721875 |
transcript.pyannote[2167].end |
11967.51096875 |
transcript.pyannote[2168].speaker |
SPEAKER_13 |
transcript.pyannote[2168].start |
11966.26221875 |
transcript.pyannote[2168].end |
11967.47721875 |
transcript.pyannote[2169].speaker |
SPEAKER_15 |
transcript.pyannote[2169].start |
11968.37159375 |
transcript.pyannote[2169].end |
11973.36659375 |
transcript.pyannote[2170].speaker |
SPEAKER_13 |
transcript.pyannote[2170].start |
11969.51909375 |
transcript.pyannote[2170].end |
11969.60346875 |
transcript.pyannote[2171].speaker |
SPEAKER_15 |
transcript.pyannote[2171].start |
11973.95721875 |
transcript.pyannote[2171].end |
11988.77346875 |
transcript.pyannote[2172].speaker |
SPEAKER_15 |
transcript.pyannote[2172].start |
11988.89159375 |
transcript.pyannote[2172].end |
11993.39721875 |
transcript.pyannote[2173].speaker |
SPEAKER_13 |
transcript.pyannote[2173].start |
11993.39721875 |
transcript.pyannote[2173].end |
11993.46471875 |
transcript.pyannote[2174].speaker |
SPEAKER_15 |
transcript.pyannote[2174].start |
11993.46471875 |
transcript.pyannote[2174].end |
11994.02159375 |
transcript.pyannote[2175].speaker |
SPEAKER_13 |
transcript.pyannote[2175].start |
11993.49846875 |
transcript.pyannote[2175].end |
11993.90346875 |
transcript.pyannote[2176].speaker |
SPEAKER_13 |
transcript.pyannote[2176].start |
11994.02159375 |
transcript.pyannote[2176].end |
12001.12596875 |
transcript.pyannote[2177].speaker |
SPEAKER_13 |
transcript.pyannote[2177].start |
12001.54784375 |
transcript.pyannote[2177].end |
12003.87659375 |
transcript.pyannote[2178].speaker |
SPEAKER_13 |
transcript.pyannote[2178].start |
12004.39971875 |
transcript.pyannote[2178].end |
12007.97721875 |
transcript.pyannote[2179].speaker |
SPEAKER_13 |
transcript.pyannote[2179].start |
12008.17971875 |
transcript.pyannote[2179].end |
12012.93846875 |
transcript.pyannote[2180].speaker |
SPEAKER_13 |
transcript.pyannote[2180].start |
12012.98909375 |
transcript.pyannote[2180].end |
12015.92534375 |
transcript.pyannote[2181].speaker |
SPEAKER_13 |
transcript.pyannote[2181].start |
12017.05596875 |
transcript.pyannote[2181].end |
12020.58284375 |
transcript.pyannote[2182].speaker |
SPEAKER_13 |
transcript.pyannote[2182].start |
12021.00471875 |
transcript.pyannote[2182].end |
12021.51096875 |
transcript.pyannote[2183].speaker |
SPEAKER_13 |
transcript.pyannote[2183].start |
12021.67971875 |
transcript.pyannote[2183].end |
12024.83534375 |
transcript.pyannote[2184].speaker |
SPEAKER_13 |
transcript.pyannote[2184].start |
12025.12221875 |
transcript.pyannote[2184].end |
12032.59784375 |
transcript.pyannote[2185].speaker |
SPEAKER_13 |
transcript.pyannote[2185].start |
12033.01971875 |
transcript.pyannote[2185].end |
12034.06596875 |
transcript.pyannote[2186].speaker |
SPEAKER_13 |
transcript.pyannote[2186].start |
12034.21784375 |
transcript.pyannote[2186].end |
12041.91284375 |
transcript.pyannote[2187].speaker |
SPEAKER_13 |
transcript.pyannote[2187].start |
12043.04346875 |
transcript.pyannote[2187].end |
12043.85346875 |
transcript.pyannote[2188].speaker |
SPEAKER_13 |
transcript.pyannote[2188].start |
12044.35971875 |
transcript.pyannote[2188].end |
12046.80659375 |
transcript.pyannote[2189].speaker |
SPEAKER_13 |
transcript.pyannote[2189].start |
12047.27909375 |
transcript.pyannote[2189].end |
12068.15346875 |
transcript.pyannote[2190].speaker |
SPEAKER_13 |
transcript.pyannote[2190].start |
12068.77784375 |
transcript.pyannote[2190].end |
12070.41471875 |
transcript.pyannote[2191].speaker |
SPEAKER_13 |
transcript.pyannote[2191].start |
12070.90409375 |
transcript.pyannote[2191].end |
12073.30034375 |
transcript.pyannote[2192].speaker |
SPEAKER_13 |
transcript.pyannote[2192].start |
12073.73909375 |
transcript.pyannote[2192].end |
12078.49784375 |
transcript.pyannote[2193].speaker |
SPEAKER_13 |
transcript.pyannote[2193].start |
12079.15596875 |
transcript.pyannote[2193].end |
12084.18471875 |
transcript.pyannote[2194].speaker |
SPEAKER_13 |
transcript.pyannote[2194].start |
12084.28596875 |
transcript.pyannote[2194].end |
12085.53471875 |
transcript.pyannote[2195].speaker |
SPEAKER_13 |
transcript.pyannote[2195].start |
12086.47971875 |
transcript.pyannote[2195].end |
12092.53784375 |
transcript.pyannote[2196].speaker |
SPEAKER_13 |
transcript.pyannote[2196].start |
12092.94284375 |
transcript.pyannote[2196].end |
12095.69346875 |
transcript.pyannote[2197].speaker |
SPEAKER_13 |
transcript.pyannote[2197].start |
12095.96346875 |
transcript.pyannote[2197].end |
12097.66784375 |
transcript.pyannote[2198].speaker |
SPEAKER_13 |
transcript.pyannote[2198].start |
12098.52846875 |
transcript.pyannote[2198].end |
12102.30846875 |
transcript.pyannote[2199].speaker |
SPEAKER_15 |
transcript.pyannote[2199].start |
12101.14409375 |
transcript.pyannote[2199].end |
12102.61221875 |
transcript.pyannote[2200].speaker |
SPEAKER_13 |
transcript.pyannote[2200].start |
12102.61221875 |
transcript.pyannote[2200].end |
12102.96659375 |
transcript.pyannote[2201].speaker |
SPEAKER_15 |
transcript.pyannote[2201].start |
12102.96659375 |
transcript.pyannote[2201].end |
12113.91846875 |
transcript.pyannote[2202].speaker |
SPEAKER_13 |
transcript.pyannote[2202].start |
12112.65284375 |
transcript.pyannote[2202].end |
12115.97721875 |
transcript.pyannote[2203].speaker |
SPEAKER_15 |
transcript.pyannote[2203].start |
12115.97721875 |
transcript.pyannote[2203].end |
12116.58471875 |
transcript.pyannote[2204].speaker |
SPEAKER_15 |
transcript.pyannote[2204].start |
12117.54659375 |
transcript.pyannote[2204].end |
12121.88346875 |
transcript.pyannote[2205].speaker |
SPEAKER_15 |
transcript.pyannote[2205].start |
12122.44034375 |
transcript.pyannote[2205].end |
12124.02659375 |
transcript.pyannote[2206].speaker |
SPEAKER_13 |
transcript.pyannote[2206].start |
12124.02659375 |
transcript.pyannote[2206].end |
12132.91971875 |
transcript.pyannote[2207].speaker |
SPEAKER_13 |
transcript.pyannote[2207].start |
12133.20659375 |
transcript.pyannote[2207].end |
12135.80534375 |
transcript.pyannote[2208].speaker |
SPEAKER_15 |
transcript.pyannote[2208].start |
12136.51409375 |
transcript.pyannote[2208].end |
12136.53096875 |
transcript.pyannote[2209].speaker |
SPEAKER_13 |
transcript.pyannote[2209].start |
12136.53096875 |
transcript.pyannote[2209].end |
12137.07096875 |
transcript.pyannote[2210].speaker |
SPEAKER_13 |
transcript.pyannote[2210].start |
12138.31971875 |
transcript.pyannote[2210].end |
12138.64034375 |
transcript.pyannote[2211].speaker |
SPEAKER_15 |
transcript.pyannote[2211].start |
12138.64034375 |
transcript.pyannote[2211].end |
12138.74159375 |
transcript.pyannote[2212].speaker |
SPEAKER_13 |
transcript.pyannote[2212].start |
12138.74159375 |
transcript.pyannote[2212].end |
12141.32346875 |
transcript.pyannote[2213].speaker |
SPEAKER_13 |
transcript.pyannote[2213].start |
12141.84659375 |
transcript.pyannote[2213].end |
12142.18409375 |
transcript.pyannote[2214].speaker |
SPEAKER_13 |
transcript.pyannote[2214].start |
12142.48784375 |
transcript.pyannote[2214].end |
12143.87159375 |
transcript.pyannote[2215].speaker |
SPEAKER_13 |
transcript.pyannote[2215].start |
12144.24284375 |
transcript.pyannote[2215].end |
12166.99034375 |
transcript.pyannote[2216].speaker |
SPEAKER_13 |
transcript.pyannote[2216].start |
12167.81721875 |
transcript.pyannote[2216].end |
12170.80409375 |
transcript.pyannote[2217].speaker |
SPEAKER_13 |
transcript.pyannote[2217].start |
12171.15846875 |
transcript.pyannote[2217].end |
12173.62221875 |
transcript.pyannote[2218].speaker |
SPEAKER_13 |
transcript.pyannote[2218].start |
12174.16221875 |
transcript.pyannote[2218].end |
12175.39409375 |
transcript.pyannote[2219].speaker |
SPEAKER_13 |
transcript.pyannote[2219].start |
12175.88346875 |
transcript.pyannote[2219].end |
12180.43971875 |
transcript.pyannote[2220].speaker |
SPEAKER_15 |
transcript.pyannote[2220].start |
12182.07659375 |
transcript.pyannote[2220].end |
12190.37909375 |
transcript.pyannote[2221].speaker |
SPEAKER_13 |
transcript.pyannote[2221].start |
12185.40096875 |
transcript.pyannote[2221].end |
12188.11784375 |
transcript.pyannote[2222].speaker |
SPEAKER_13 |
transcript.pyannote[2222].start |
12188.50596875 |
transcript.pyannote[2222].end |
12189.06284375 |
transcript.pyannote[2223].speaker |
SPEAKER_15 |
transcript.pyannote[2223].start |
12190.59846875 |
transcript.pyannote[2223].end |
12198.90096875 |
transcript.pyannote[2224].speaker |
SPEAKER_15 |
transcript.pyannote[2224].start |
12199.27221875 |
transcript.pyannote[2224].end |
12208.77284375 |
transcript.pyannote[2225].speaker |
SPEAKER_08 |
transcript.pyannote[2225].start |
12209.39721875 |
transcript.pyannote[2225].end |
12209.93721875 |
transcript.pyannote[2226].speaker |
SPEAKER_15 |
transcript.pyannote[2226].start |
12209.39721875 |
transcript.pyannote[2226].end |
12213.02534375 |
transcript.pyannote[2227].speaker |
SPEAKER_13 |
transcript.pyannote[2227].start |
12211.48971875 |
transcript.pyannote[2227].end |
12212.55284375 |
transcript.pyannote[2228].speaker |
SPEAKER_13 |
transcript.pyannote[2228].start |
12213.02534375 |
transcript.pyannote[2228].end |
12226.69409375 |
transcript.pyannote[2229].speaker |
SPEAKER_15 |
transcript.pyannote[2229].start |
12215.50596875 |
transcript.pyannote[2229].end |
12216.68721875 |
transcript.pyannote[2230].speaker |
SPEAKER_15 |
transcript.pyannote[2230].start |
12217.83471875 |
transcript.pyannote[2230].end |
12217.96971875 |
transcript.pyannote[2231].speaker |
SPEAKER_00 |
transcript.pyannote[2231].start |
12217.96971875 |
transcript.pyannote[2231].end |
12218.02034375 |
transcript.pyannote[2232].speaker |
SPEAKER_13 |
transcript.pyannote[2232].start |
12228.41534375 |
transcript.pyannote[2232].end |
12228.97221875 |
transcript.pyannote[2233].speaker |
SPEAKER_15 |
transcript.pyannote[2233].start |
12228.46596875 |
transcript.pyannote[2233].end |
12228.93846875 |
transcript.pyannote[2234].speaker |
SPEAKER_13 |
transcript.pyannote[2234].start |
12229.61346875 |
transcript.pyannote[2234].end |
12230.81159375 |
transcript.pyannote[2235].speaker |
SPEAKER_15 |
transcript.pyannote[2235].start |
12230.81159375 |
transcript.pyannote[2235].end |
12231.84096875 |
transcript.pyannote[2236].speaker |
SPEAKER_15 |
transcript.pyannote[2236].start |
12231.97596875 |
transcript.pyannote[2236].end |
12233.59596875 |
transcript.pyannote[2237].speaker |
SPEAKER_15 |
transcript.pyannote[2237].start |
12233.96721875 |
transcript.pyannote[2237].end |
12239.08034375 |
transcript.pyannote[2238].speaker |
SPEAKER_13 |
transcript.pyannote[2238].start |
12239.08034375 |
transcript.pyannote[2238].end |
12239.09721875 |
transcript.pyannote[2239].speaker |
SPEAKER_20 |
transcript.pyannote[2239].start |
12239.09721875 |
transcript.pyannote[2239].end |
12239.31659375 |
transcript.pyannote[2240].speaker |
SPEAKER_13 |
transcript.pyannote[2240].start |
12239.31659375 |
transcript.pyannote[2240].end |
12239.33346875 |
transcript.pyannote[2241].speaker |
SPEAKER_15 |
transcript.pyannote[2241].start |
12239.33346875 |
transcript.pyannote[2241].end |
12240.73409375 |
transcript.pyannote[2242].speaker |
SPEAKER_13 |
transcript.pyannote[2242].start |
12240.73409375 |
transcript.pyannote[2242].end |
12247.85534375 |
transcript.pyannote[2243].speaker |
SPEAKER_13 |
transcript.pyannote[2243].start |
12248.34471875 |
transcript.pyannote[2243].end |
12257.22096875 |
transcript.pyannote[2244].speaker |
SPEAKER_13 |
transcript.pyannote[2244].start |
12257.57534375 |
transcript.pyannote[2244].end |
12263.51534375 |
transcript.pyannote[2245].speaker |
SPEAKER_13 |
transcript.pyannote[2245].start |
12263.80221875 |
transcript.pyannote[2245].end |
12269.33721875 |
transcript.pyannote[2246].speaker |
SPEAKER_13 |
transcript.pyannote[2246].start |
12269.84346875 |
transcript.pyannote[2246].end |
12282.38159375 |
transcript.pyannote[2247].speaker |
SPEAKER_13 |
transcript.pyannote[2247].start |
12283.32659375 |
transcript.pyannote[2247].end |
12295.39221875 |
transcript.pyannote[2248].speaker |
SPEAKER_13 |
transcript.pyannote[2248].start |
12295.84784375 |
transcript.pyannote[2248].end |
12298.98659375 |
transcript.pyannote[2249].speaker |
SPEAKER_13 |
transcript.pyannote[2249].start |
12300.40409375 |
transcript.pyannote[2249].end |
12303.05346875 |
transcript.pyannote[2250].speaker |
SPEAKER_13 |
transcript.pyannote[2250].start |
12303.45846875 |
transcript.pyannote[2250].end |
12316.97534375 |
transcript.pyannote[2251].speaker |
SPEAKER_15 |
transcript.pyannote[2251].start |
12305.28096875 |
transcript.pyannote[2251].end |
12305.66909375 |
transcript.pyannote[2252].speaker |
SPEAKER_15 |
transcript.pyannote[2252].start |
12306.36096875 |
transcript.pyannote[2252].end |
12307.12034375 |
transcript.pyannote[2253].speaker |
SPEAKER_15 |
transcript.pyannote[2253].start |
12309.88784375 |
transcript.pyannote[2253].end |
12310.19159375 |
transcript.pyannote[2254].speaker |
SPEAKER_15 |
transcript.pyannote[2254].start |
12316.97534375 |
transcript.pyannote[2254].end |
12319.38846875 |
transcript.pyannote[2255].speaker |
SPEAKER_22 |
transcript.pyannote[2255].start |
12318.49409375 |
transcript.pyannote[2255].end |
12318.51096875 |
transcript.pyannote[2256].speaker |
SPEAKER_23 |
transcript.pyannote[2256].start |
12318.51096875 |
transcript.pyannote[2256].end |
12318.79784375 |
transcript.pyannote[2257].speaker |
SPEAKER_22 |
transcript.pyannote[2257].start |
12318.79784375 |
transcript.pyannote[2257].end |
12318.81471875 |
transcript.pyannote[2258].speaker |
SPEAKER_23 |
transcript.pyannote[2258].start |
12318.81471875 |
transcript.pyannote[2258].end |
12318.83159375 |
transcript.pyannote[2259].speaker |
SPEAKER_13 |
transcript.pyannote[2259].start |
12318.83159375 |
transcript.pyannote[2259].end |
12318.84846875 |
transcript.pyannote[2260].speaker |
SPEAKER_15 |
transcript.pyannote[2260].start |
12319.50659375 |
transcript.pyannote[2260].end |
12321.27846875 |
transcript.pyannote[2261].speaker |
SPEAKER_15 |
transcript.pyannote[2261].start |
12321.46409375 |
transcript.pyannote[2261].end |
12338.82846875 |
transcript.pyannote[2262].speaker |
SPEAKER_13 |
transcript.pyannote[2262].start |
12332.73659375 |
transcript.pyannote[2262].end |
12333.83346875 |
transcript.pyannote[2263].speaker |
SPEAKER_15 |
transcript.pyannote[2263].start |
12338.94659375 |
transcript.pyannote[2263].end |
12342.15284375 |
transcript.pyannote[2264].speaker |
SPEAKER_15 |
transcript.pyannote[2264].start |
12342.50721875 |
transcript.pyannote[2264].end |
12345.46034375 |
transcript.pyannote[2265].speaker |
SPEAKER_15 |
transcript.pyannote[2265].start |
12347.35034375 |
transcript.pyannote[2265].end |
12350.03346875 |
transcript.pyannote[2266].speaker |
SPEAKER_13 |
transcript.pyannote[2266].start |
12350.03346875 |
transcript.pyannote[2266].end |
12350.16846875 |
transcript.pyannote[2267].speaker |
SPEAKER_15 |
transcript.pyannote[2267].start |
12350.16846875 |
transcript.pyannote[2267].end |
12350.53971875 |
transcript.pyannote[2268].speaker |
SPEAKER_13 |
transcript.pyannote[2268].start |
12350.53971875 |
transcript.pyannote[2268].end |
12350.64096875 |
transcript.pyannote[2269].speaker |
SPEAKER_15 |
transcript.pyannote[2269].start |
12350.64096875 |
transcript.pyannote[2269].end |
12351.46784375 |
transcript.pyannote[2270].speaker |
SPEAKER_13 |
transcript.pyannote[2270].start |
12350.92784375 |
transcript.pyannote[2270].end |
12355.18034375 |
transcript.pyannote[2271].speaker |
SPEAKER_13 |
transcript.pyannote[2271].start |
12355.56846875 |
transcript.pyannote[2271].end |
12357.64409375 |
transcript.pyannote[2272].speaker |
SPEAKER_13 |
transcript.pyannote[2272].start |
12357.79596875 |
transcript.pyannote[2272].end |
12358.28534375 |
transcript.pyannote[2273].speaker |
SPEAKER_13 |
transcript.pyannote[2273].start |
12358.60596875 |
transcript.pyannote[2273].end |
12363.48284375 |
transcript.pyannote[2274].speaker |
SPEAKER_13 |
transcript.pyannote[2274].start |
12363.76971875 |
transcript.pyannote[2274].end |
12371.19471875 |
transcript.pyannote[2275].speaker |
SPEAKER_13 |
transcript.pyannote[2275].start |
12371.58284375 |
transcript.pyannote[2275].end |
12372.54471875 |
transcript.pyannote[2276].speaker |
SPEAKER_13 |
transcript.pyannote[2276].start |
12372.69659375 |
transcript.pyannote[2276].end |
12373.79346875 |
transcript.pyannote[2277].speaker |
SPEAKER_13 |
transcript.pyannote[2277].start |
12374.09721875 |
transcript.pyannote[2277].end |
12378.04596875 |
transcript.pyannote[2278].speaker |
SPEAKER_13 |
transcript.pyannote[2278].start |
12379.93596875 |
transcript.pyannote[2278].end |
12380.22284375 |
transcript.pyannote[2279].speaker |
SPEAKER_13 |
transcript.pyannote[2279].start |
12380.93159375 |
transcript.pyannote[2279].end |
12382.38284375 |
transcript.pyannote[2280].speaker |
SPEAKER_13 |
transcript.pyannote[2280].start |
12382.87221875 |
transcript.pyannote[2280].end |
12385.36971875 |
transcript.pyannote[2281].speaker |
SPEAKER_13 |
transcript.pyannote[2281].start |
12385.53846875 |
transcript.pyannote[2281].end |
12393.45284375 |
transcript.pyannote[2282].speaker |
SPEAKER_13 |
transcript.pyannote[2282].start |
12393.65534375 |
transcript.pyannote[2282].end |
12405.11346875 |
transcript.pyannote[2283].speaker |
SPEAKER_13 |
transcript.pyannote[2283].start |
12405.34971875 |
transcript.pyannote[2283].end |
12406.88534375 |
transcript.pyannote[2284].speaker |
SPEAKER_03 |
transcript.pyannote[2284].start |
12406.98659375 |
transcript.pyannote[2284].end |
12407.44221875 |
transcript.pyannote[2285].speaker |
SPEAKER_03 |
transcript.pyannote[2285].start |
12412.28534375 |
transcript.pyannote[2285].end |
12414.98534375 |
transcript.pyannote[2286].speaker |
SPEAKER_08 |
transcript.pyannote[2286].start |
12424.41846875 |
transcript.pyannote[2286].end |
12427.74284375 |
transcript.pyannote[2287].speaker |
SPEAKER_03 |
transcript.pyannote[2287].start |
12428.04659375 |
transcript.pyannote[2287].end |
12428.94096875 |
transcript.pyannote[2288].speaker |
SPEAKER_15 |
transcript.pyannote[2288].start |
12436.26471875 |
transcript.pyannote[2288].end |
12436.93971875 |
transcript.pyannote[2289].speaker |
SPEAKER_08 |
transcript.pyannote[2289].start |
12437.34471875 |
transcript.pyannote[2289].end |
12438.23909375 |
transcript.pyannote[2290].speaker |
SPEAKER_08 |
transcript.pyannote[2290].start |
12438.54284375 |
transcript.pyannote[2290].end |
12438.99846875 |
transcript.pyannote[2291].speaker |
SPEAKER_08 |
transcript.pyannote[2291].start |
12439.77471875 |
transcript.pyannote[2291].end |
12493.40346875 |
transcript.pyannote[2292].speaker |
SPEAKER_15 |
transcript.pyannote[2292].start |
12493.94346875 |
transcript.pyannote[2292].end |
12494.31471875 |
transcript.pyannote[2293].speaker |
SPEAKER_15 |
transcript.pyannote[2293].start |
12495.09096875 |
transcript.pyannote[2293].end |
12503.86596875 |
transcript.pyannote[2294].speaker |
SPEAKER_08 |
transcript.pyannote[2294].start |
12502.22909375 |
transcript.pyannote[2294].end |
12502.56659375 |
transcript.pyannote[2295].speaker |
SPEAKER_00 |
transcript.pyannote[2295].start |
12502.56659375 |
transcript.pyannote[2295].end |
12502.60034375 |
transcript.pyannote[2296].speaker |
SPEAKER_15 |
transcript.pyannote[2296].start |
12504.52409375 |
transcript.pyannote[2296].end |
12506.26221875 |
transcript.pyannote[2297].speaker |
SPEAKER_15 |
transcript.pyannote[2297].start |
12506.46471875 |
transcript.pyannote[2297].end |
12507.83159375 |
transcript.pyannote[2298].speaker |
SPEAKER_15 |
transcript.pyannote[2298].start |
12508.23659375 |
transcript.pyannote[2298].end |
12518.07471875 |
transcript.pyannote[2299].speaker |
SPEAKER_00 |
transcript.pyannote[2299].start |
12508.27034375 |
transcript.pyannote[2299].end |
12508.96221875 |
transcript.pyannote[2300].speaker |
SPEAKER_08 |
transcript.pyannote[2300].start |
12517.19721875 |
transcript.pyannote[2300].end |
12518.76659375 |
transcript.pyannote[2301].speaker |
SPEAKER_15 |
transcript.pyannote[2301].start |
12518.76659375 |
transcript.pyannote[2301].end |
12543.80909375 |
transcript.pyannote[2302].speaker |
SPEAKER_08 |
transcript.pyannote[2302].start |
12521.60159375 |
transcript.pyannote[2302].end |
12522.05721875 |
transcript.pyannote[2303].speaker |
SPEAKER_15 |
transcript.pyannote[2303].start |
12544.33221875 |
transcript.pyannote[2303].end |
12546.45846875 |
transcript.pyannote[2304].speaker |
SPEAKER_22 |
transcript.pyannote[2304].start |
12546.74534375 |
transcript.pyannote[2304].end |
12547.08284375 |
transcript.pyannote[2305].speaker |
SPEAKER_15 |
transcript.pyannote[2305].start |
12546.82971875 |
transcript.pyannote[2305].end |
12563.46846875 |
transcript.pyannote[2306].speaker |
SPEAKER_08 |
transcript.pyannote[2306].start |
12563.62034375 |
transcript.pyannote[2306].end |
12565.72971875 |
transcript.pyannote[2307].speaker |
SPEAKER_08 |
transcript.pyannote[2307].start |
12566.30346875 |
transcript.pyannote[2307].end |
12580.74846875 |
transcript.pyannote[2308].speaker |
SPEAKER_15 |
transcript.pyannote[2308].start |
12581.60909375 |
transcript.pyannote[2308].end |
12582.03096875 |
transcript.pyannote[2309].speaker |
SPEAKER_15 |
transcript.pyannote[2309].start |
12582.41909375 |
transcript.pyannote[2309].end |
12599.07471875 |
transcript.pyannote[2310].speaker |
SPEAKER_08 |
transcript.pyannote[2310].start |
12589.13534375 |
transcript.pyannote[2310].end |
12589.62471875 |
transcript.pyannote[2311].speaker |
SPEAKER_00 |
transcript.pyannote[2311].start |
12589.62471875 |
transcript.pyannote[2311].end |
12589.67534375 |
transcript.pyannote[2312].speaker |
SPEAKER_15 |
transcript.pyannote[2312].start |
12599.26034375 |
transcript.pyannote[2312].end |
12601.36971875 |
transcript.pyannote[2313].speaker |
SPEAKER_08 |
transcript.pyannote[2313].start |
12601.30221875 |
transcript.pyannote[2313].end |
12608.20409375 |
transcript.pyannote[2314].speaker |
SPEAKER_15 |
transcript.pyannote[2314].start |
12601.38659375 |
transcript.pyannote[2314].end |
12602.29784375 |
transcript.pyannote[2315].speaker |
SPEAKER_15 |
transcript.pyannote[2315].start |
12606.39846875 |
transcript.pyannote[2315].end |
12607.66409375 |
transcript.pyannote[2316].speaker |
SPEAKER_15 |
transcript.pyannote[2316].start |
12608.06909375 |
transcript.pyannote[2316].end |
12614.68409375 |
transcript.pyannote[2317].speaker |
SPEAKER_22 |
transcript.pyannote[2317].start |
12614.68409375 |
transcript.pyannote[2317].end |
12615.20721875 |
transcript.pyannote[2318].speaker |
SPEAKER_15 |
transcript.pyannote[2318].start |
12614.70096875 |
transcript.pyannote[2318].end |
12614.75159375 |
transcript.pyannote[2319].speaker |
SPEAKER_15 |
transcript.pyannote[2319].start |
12615.10596875 |
transcript.pyannote[2319].end |
12628.57221875 |
transcript.pyannote[2320].speaker |
SPEAKER_15 |
transcript.pyannote[2320].start |
12628.99409375 |
transcript.pyannote[2320].end |
12633.02721875 |
transcript.pyannote[2321].speaker |
SPEAKER_15 |
transcript.pyannote[2321].start |
12633.31409375 |
transcript.pyannote[2321].end |
12663.89159375 |
transcript.pyannote[2322].speaker |
SPEAKER_08 |
transcript.pyannote[2322].start |
12664.80284375 |
transcript.pyannote[2322].end |
12670.79346875 |
transcript.pyannote[2323].speaker |
SPEAKER_15 |
transcript.pyannote[2323].start |
12672.44721875 |
transcript.pyannote[2323].end |
12676.32846875 |
transcript.pyannote[2324].speaker |
SPEAKER_08 |
transcript.pyannote[2324].start |
12676.48034375 |
transcript.pyannote[2324].end |
12680.73284375 |
transcript.pyannote[2325].speaker |
SPEAKER_15 |
transcript.pyannote[2325].start |
12676.68284375 |
transcript.pyannote[2325].end |
12676.98659375 |
transcript.pyannote[2326].speaker |
SPEAKER_08 |
transcript.pyannote[2326].start |
12681.94784375 |
transcript.pyannote[2326].end |
12683.12909375 |
transcript.pyannote[2327].speaker |
SPEAKER_08 |
transcript.pyannote[2327].start |
12683.31471875 |
transcript.pyannote[2327].end |
12684.36096875 |
transcript.pyannote[2328].speaker |
SPEAKER_08 |
transcript.pyannote[2328].start |
12684.39471875 |
transcript.pyannote[2328].end |
12691.36409375 |
transcript.pyannote[2329].speaker |
SPEAKER_15 |
transcript.pyannote[2329].start |
12684.52971875 |
transcript.pyannote[2329].end |
12685.50846875 |
transcript.pyannote[2330].speaker |
SPEAKER_22 |
transcript.pyannote[2330].start |
12685.50846875 |
transcript.pyannote[2330].end |
12685.54221875 |
transcript.pyannote[2331].speaker |
SPEAKER_00 |
transcript.pyannote[2331].start |
12685.54221875 |
transcript.pyannote[2331].end |
12685.57596875 |
transcript.pyannote[2332].speaker |
SPEAKER_15 |
transcript.pyannote[2332].start |
12691.76909375 |
transcript.pyannote[2332].end |
12692.57909375 |
transcript.pyannote[2333].speaker |
SPEAKER_15 |
transcript.pyannote[2333].start |
12693.15284375 |
transcript.pyannote[2333].end |
12704.34096875 |
transcript.pyannote[2334].speaker |
SPEAKER_15 |
transcript.pyannote[2334].start |
12704.59409375 |
transcript.pyannote[2334].end |
12707.78346875 |
transcript.pyannote[2335].speaker |
SPEAKER_15 |
transcript.pyannote[2335].start |
12708.54284375 |
transcript.pyannote[2335].end |
12711.36096875 |
transcript.pyannote[2336].speaker |
SPEAKER_08 |
transcript.pyannote[2336].start |
12709.30221875 |
transcript.pyannote[2336].end |
12710.19659375 |
transcript.pyannote[2337].speaker |
SPEAKER_08 |
transcript.pyannote[2337].start |
12710.55096875 |
transcript.pyannote[2337].end |
12711.44534375 |
transcript.pyannote[2338].speaker |
SPEAKER_15 |
transcript.pyannote[2338].start |
12711.44534375 |
transcript.pyannote[2338].end |
12711.79971875 |
transcript.pyannote[2339].speaker |
SPEAKER_08 |
transcript.pyannote[2339].start |
12711.79971875 |
transcript.pyannote[2339].end |
12715.03971875 |
transcript.pyannote[2340].speaker |
SPEAKER_15 |
transcript.pyannote[2340].start |
12712.03596875 |
transcript.pyannote[2340].end |
12712.40721875 |
transcript.pyannote[2341].speaker |
SPEAKER_15 |
transcript.pyannote[2341].start |
12712.67721875 |
transcript.pyannote[2341].end |
12713.53784375 |
transcript.pyannote[2342].speaker |
SPEAKER_15 |
transcript.pyannote[2342].start |
12714.39846875 |
transcript.pyannote[2342].end |
12724.60784375 |
transcript.pyannote[2343].speaker |
SPEAKER_22 |
transcript.pyannote[2343].start |
12724.96221875 |
transcript.pyannote[2343].end |
12724.97909375 |
transcript.pyannote[2344].speaker |
SPEAKER_22 |
transcript.pyannote[2344].start |
12725.02971875 |
transcript.pyannote[2344].end |
12725.13096875 |
transcript.pyannote[2345].speaker |
SPEAKER_15 |
transcript.pyannote[2345].start |
12725.19846875 |
transcript.pyannote[2345].end |
12729.70409375 |
transcript.pyannote[2346].speaker |
SPEAKER_15 |
transcript.pyannote[2346].start |
12730.17659375 |
transcript.pyannote[2346].end |
12733.39971875 |
transcript.pyannote[2347].speaker |
SPEAKER_15 |
transcript.pyannote[2347].start |
12733.58534375 |
transcript.pyannote[2347].end |
12743.77784375 |
transcript.pyannote[2348].speaker |
SPEAKER_08 |
transcript.pyannote[2348].start |
12743.22096875 |
transcript.pyannote[2348].end |
12746.89971875 |
transcript.pyannote[2349].speaker |
SPEAKER_08 |
transcript.pyannote[2349].start |
12747.59159375 |
transcript.pyannote[2349].end |
12748.18221875 |
transcript.pyannote[2350].speaker |
SPEAKER_08 |
transcript.pyannote[2350].start |
12748.68846875 |
transcript.pyannote[2350].end |
12749.31284375 |
transcript.pyannote[2351].speaker |
SPEAKER_15 |
transcript.pyannote[2351].start |
12749.90346875 |
transcript.pyannote[2351].end |
12751.65846875 |
transcript.pyannote[2352].speaker |
SPEAKER_08 |
transcript.pyannote[2352].start |
12752.67096875 |
transcript.pyannote[2352].end |
12753.81846875 |
transcript.pyannote[2353].speaker |
SPEAKER_15 |
transcript.pyannote[2353].start |
12755.32034375 |
transcript.pyannote[2353].end |
12760.48409375 |
transcript.pyannote[2354].speaker |
SPEAKER_15 |
transcript.pyannote[2354].start |
12761.12534375 |
transcript.pyannote[2354].end |
12764.36534375 |
transcript.pyannote[2355].speaker |
SPEAKER_15 |
transcript.pyannote[2355].start |
12764.71971875 |
transcript.pyannote[2355].end |
12778.15221875 |
transcript.pyannote[2356].speaker |
SPEAKER_08 |
transcript.pyannote[2356].start |
12778.38846875 |
transcript.pyannote[2356].end |
12779.67096875 |
transcript.pyannote[2357].speaker |
SPEAKER_15 |
transcript.pyannote[2357].start |
12778.43909375 |
transcript.pyannote[2357].end |
12779.02971875 |
transcript.pyannote[2358].speaker |
SPEAKER_15 |
transcript.pyannote[2358].start |
12780.07596875 |
transcript.pyannote[2358].end |
12780.49784375 |
transcript.pyannote[2359].speaker |
SPEAKER_15 |
transcript.pyannote[2359].start |
12781.32471875 |
transcript.pyannote[2359].end |
12782.67471875 |
transcript.pyannote[2360].speaker |
SPEAKER_08 |
transcript.pyannote[2360].start |
12782.16846875 |
transcript.pyannote[2360].end |
12785.35784375 |
transcript.pyannote[2361].speaker |
SPEAKER_15 |
transcript.pyannote[2361].start |
12784.29471875 |
transcript.pyannote[2361].end |
12790.60596875 |
transcript.pyannote[2362].speaker |
SPEAKER_08 |
transcript.pyannote[2362].start |
12787.23096875 |
transcript.pyannote[2362].end |
12788.19284375 |
transcript.pyannote[2363].speaker |
SPEAKER_15 |
transcript.pyannote[2363].start |
12791.01096875 |
transcript.pyannote[2363].end |
12791.61846875 |
transcript.pyannote[2364].speaker |
SPEAKER_15 |
transcript.pyannote[2364].start |
12792.27659375 |
transcript.pyannote[2364].end |
12797.44034375 |
transcript.pyannote[2365].speaker |
SPEAKER_08 |
transcript.pyannote[2365].start |
12798.46971875 |
transcript.pyannote[2365].end |
12808.66221875 |
transcript.pyannote[2366].speaker |
SPEAKER_15 |
transcript.pyannote[2366].start |
12805.15221875 |
transcript.pyannote[2366].end |
12805.97909375 |
transcript.pyannote[2367].speaker |
SPEAKER_15 |
transcript.pyannote[2367].start |
12808.96596875 |
transcript.pyannote[2367].end |
12810.78846875 |
transcript.pyannote[2368].speaker |
SPEAKER_08 |
transcript.pyannote[2368].start |
12810.63659375 |
transcript.pyannote[2368].end |
12811.02471875 |
transcript.pyannote[2369].speaker |
SPEAKER_15 |
transcript.pyannote[2369].start |
12810.85596875 |
transcript.pyannote[2369].end |
12810.87284375 |
transcript.pyannote[2370].speaker |
SPEAKER_15 |
transcript.pyannote[2370].start |
12810.92346875 |
transcript.pyannote[2370].end |
12815.93534375 |
transcript.pyannote[2371].speaker |
SPEAKER_15 |
transcript.pyannote[2371].start |
12815.95221875 |
transcript.pyannote[2371].end |
12818.12909375 |
transcript.pyannote[2372].speaker |
SPEAKER_08 |
transcript.pyannote[2372].start |
12816.10409375 |
transcript.pyannote[2372].end |
12816.45846875 |
transcript.pyannote[2373].speaker |
SPEAKER_08 |
transcript.pyannote[2373].start |
12817.18409375 |
transcript.pyannote[2373].end |
12828.72659375 |
transcript.pyannote[2374].speaker |
SPEAKER_15 |
transcript.pyannote[2374].start |
12818.58471875 |
transcript.pyannote[2374].end |
12819.41159375 |
transcript.pyannote[2375].speaker |
SPEAKER_08 |
transcript.pyannote[2375].start |
12828.96284375 |
transcript.pyannote[2375].end |
12832.75971875 |
transcript.pyannote[2376].speaker |
SPEAKER_15 |
transcript.pyannote[2376].start |
12832.75971875 |
transcript.pyannote[2376].end |
12833.82284375 |
transcript.pyannote[2377].speaker |
SPEAKER_08 |
transcript.pyannote[2377].start |
12833.43471875 |
transcript.pyannote[2377].end |
12835.72971875 |
transcript.pyannote[2378].speaker |
SPEAKER_15 |
transcript.pyannote[2378].start |
12835.12221875 |
transcript.pyannote[2378].end |
12837.73784375 |
transcript.pyannote[2379].speaker |
SPEAKER_15 |
transcript.pyannote[2379].start |
12837.88971875 |
transcript.pyannote[2379].end |
12847.74471875 |
transcript.pyannote[2380].speaker |
SPEAKER_20 |
transcript.pyannote[2380].start |
12847.89659375 |
transcript.pyannote[2380].end |
12848.36909375 |
transcript.pyannote[2381].speaker |
SPEAKER_15 |
transcript.pyannote[2381].start |
12848.33534375 |
transcript.pyannote[2381].end |
12851.50784375 |
transcript.pyannote[2382].speaker |
SPEAKER_15 |
transcript.pyannote[2382].start |
12851.79471875 |
transcript.pyannote[2382].end |
12862.32471875 |
transcript.pyannote[2383].speaker |
SPEAKER_20 |
transcript.pyannote[2383].start |
12852.68909375 |
transcript.pyannote[2383].end |
12853.48221875 |
transcript.pyannote[2384].speaker |
SPEAKER_08 |
transcript.pyannote[2384].start |
12861.61596875 |
transcript.pyannote[2384].end |
12863.84346875 |
transcript.pyannote[2385].speaker |
SPEAKER_15 |
transcript.pyannote[2385].start |
12863.97846875 |
transcript.pyannote[2385].end |
12868.11284375 |
transcript.pyannote[2386].speaker |
SPEAKER_08 |
transcript.pyannote[2386].start |
12865.88534375 |
transcript.pyannote[2386].end |
12866.08784375 |
transcript.pyannote[2387].speaker |
SPEAKER_08 |
transcript.pyannote[2387].start |
12866.61096875 |
transcript.pyannote[2387].end |
12868.68659375 |
transcript.pyannote[2388].speaker |
SPEAKER_15 |
transcript.pyannote[2388].start |
12868.38284375 |
transcript.pyannote[2388].end |
12874.40721875 |
transcript.pyannote[2389].speaker |
SPEAKER_08 |
transcript.pyannote[2389].start |
12871.74096875 |
transcript.pyannote[2389].end |
12873.17534375 |
transcript.pyannote[2390].speaker |
SPEAKER_08 |
transcript.pyannote[2390].start |
12873.39471875 |
transcript.pyannote[2390].end |
12875.04846875 |
transcript.pyannote[2391].speaker |
SPEAKER_15 |
transcript.pyannote[2391].start |
12875.04846875 |
transcript.pyannote[2391].end |
12875.20034375 |
transcript.pyannote[2392].speaker |
SPEAKER_08 |
transcript.pyannote[2392].start |
12875.20034375 |
transcript.pyannote[2392].end |
12875.31846875 |
transcript.pyannote[2393].speaker |
SPEAKER_15 |
transcript.pyannote[2393].start |
12875.31846875 |
transcript.pyannote[2393].end |
12877.81596875 |
transcript.pyannote[2394].speaker |
SPEAKER_08 |
transcript.pyannote[2394].start |
12875.85846875 |
transcript.pyannote[2394].end |
12883.75596875 |
transcript.pyannote[2395].speaker |
SPEAKER_15 |
transcript.pyannote[2395].start |
12879.26721875 |
transcript.pyannote[2395].end |
12881.84909375 |
transcript.pyannote[2396].speaker |
SPEAKER_15 |
transcript.pyannote[2396].start |
12883.53659375 |
transcript.pyannote[2396].end |
12885.44346875 |
transcript.pyannote[2397].speaker |
SPEAKER_08 |
transcript.pyannote[2397].start |
12885.44346875 |
transcript.pyannote[2397].end |
12887.90721875 |
transcript.pyannote[2398].speaker |
SPEAKER_08 |
transcript.pyannote[2398].start |
12888.48096875 |
transcript.pyannote[2398].end |
12908.91659375 |
transcript.pyannote[2399].speaker |
SPEAKER_08 |
transcript.pyannote[2399].start |
12909.28784375 |
transcript.pyannote[2399].end |
12912.86534375 |
transcript.pyannote[2400].speaker |
SPEAKER_08 |
transcript.pyannote[2400].start |
12913.25346875 |
transcript.pyannote[2400].end |
12916.10534375 |
transcript.pyannote[2401].speaker |
SPEAKER_08 |
transcript.pyannote[2401].start |
12916.39221875 |
transcript.pyannote[2401].end |
12917.45534375 |
transcript.pyannote[2402].speaker |
SPEAKER_08 |
transcript.pyannote[2402].start |
12918.21471875 |
transcript.pyannote[2402].end |
12921.11721875 |
transcript.pyannote[2403].speaker |
SPEAKER_20 |
transcript.pyannote[2403].start |
12923.49659375 |
transcript.pyannote[2403].end |
12923.51346875 |
transcript.pyannote[2404].speaker |
SPEAKER_15 |
transcript.pyannote[2404].start |
12923.51346875 |
transcript.pyannote[2404].end |
12923.98596875 |
transcript.pyannote[2405].speaker |
SPEAKER_15 |
transcript.pyannote[2405].start |
12925.82534375 |
transcript.pyannote[2405].end |
12931.93409375 |
transcript.pyannote[2406].speaker |
SPEAKER_15 |
transcript.pyannote[2406].start |
12932.45721875 |
transcript.pyannote[2406].end |
12933.16596875 |
transcript.pyannote[2407].speaker |
SPEAKER_15 |
transcript.pyannote[2407].start |
12934.36409375 |
transcript.pyannote[2407].end |
12937.53659375 |
transcript.pyannote[2408].speaker |
SPEAKER_15 |
transcript.pyannote[2408].start |
12937.95846875 |
transcript.pyannote[2408].end |
12939.73034375 |
transcript.pyannote[2409].speaker |
SPEAKER_08 |
transcript.pyannote[2409].start |
12938.46471875 |
transcript.pyannote[2409].end |
12940.89471875 |
transcript.pyannote[2410].speaker |
SPEAKER_08 |
transcript.pyannote[2410].start |
12941.67096875 |
transcript.pyannote[2410].end |
12942.32909375 |
transcript.pyannote[2411].speaker |
SPEAKER_08 |
transcript.pyannote[2411].start |
12942.90284375 |
transcript.pyannote[2411].end |
12944.62409375 |
transcript.pyannote[2412].speaker |
SPEAKER_08 |
transcript.pyannote[2412].start |
12944.92784375 |
transcript.pyannote[2412].end |
12946.73346875 |
transcript.pyannote[2413].speaker |
SPEAKER_08 |
transcript.pyannote[2413].start |
12946.96971875 |
transcript.pyannote[2413].end |
12948.64034375 |
transcript.pyannote[2414].speaker |
SPEAKER_15 |
transcript.pyannote[2414].start |
12950.07471875 |
transcript.pyannote[2414].end |
12951.42471875 |
transcript.pyannote[2415].speaker |
SPEAKER_08 |
transcript.pyannote[2415].start |
12950.41221875 |
transcript.pyannote[2415].end |
12953.46659375 |
transcript.pyannote[2416].speaker |
SPEAKER_15 |
transcript.pyannote[2416].start |
12954.22596875 |
transcript.pyannote[2416].end |
12958.63034375 |
transcript.pyannote[2417].speaker |
SPEAKER_08 |
transcript.pyannote[2417].start |
12958.63034375 |
transcript.pyannote[2417].end |
12958.95096875 |
transcript.pyannote[2418].speaker |
SPEAKER_15 |
transcript.pyannote[2418].start |
12958.91721875 |
transcript.pyannote[2418].end |
12959.45721875 |
transcript.pyannote[2419].speaker |
SPEAKER_22 |
transcript.pyannote[2419].start |
12958.95096875 |
transcript.pyannote[2419].end |
12958.98471875 |
transcript.pyannote[2420].speaker |
SPEAKER_15 |
transcript.pyannote[2420].start |
12960.18284375 |
transcript.pyannote[2420].end |
12965.68409375 |
transcript.pyannote[2421].speaker |
SPEAKER_15 |
transcript.pyannote[2421].start |
12966.13971875 |
transcript.pyannote[2421].end |
12969.04221875 |
transcript.pyannote[2422].speaker |
SPEAKER_15 |
transcript.pyannote[2422].start |
12969.85221875 |
transcript.pyannote[2422].end |
12970.76346875 |
transcript.pyannote[2423].speaker |
SPEAKER_08 |
transcript.pyannote[2423].start |
12971.06721875 |
transcript.pyannote[2423].end |
12971.99534375 |
transcript.pyannote[2424].speaker |
SPEAKER_08 |
transcript.pyannote[2424].start |
12972.85596875 |
transcript.pyannote[2424].end |
12973.75034375 |
transcript.pyannote[2425].speaker |
SPEAKER_03 |
transcript.pyannote[2425].start |
12978.64409375 |
transcript.pyannote[2425].end |
12982.08659375 |
transcript.pyannote[2426].speaker |
SPEAKER_21 |
transcript.pyannote[2426].start |
12990.50721875 |
transcript.pyannote[2426].end |
12992.80221875 |
transcript.pyannote[2427].speaker |
SPEAKER_08 |
transcript.pyannote[2427].start |
12993.86534375 |
transcript.pyannote[2427].end |
12994.43909375 |
transcript.pyannote[2428].speaker |
SPEAKER_21 |
transcript.pyannote[2428].start |
13000.21034375 |
transcript.pyannote[2428].end |
13001.49284375 |
transcript.pyannote[2429].speaker |
SPEAKER_21 |
transcript.pyannote[2429].start |
13001.54346875 |
transcript.pyannote[2429].end |
13002.30284375 |
transcript.pyannote[2430].speaker |
SPEAKER_21 |
transcript.pyannote[2430].start |
13003.06221875 |
transcript.pyannote[2430].end |
13005.18846875 |
transcript.pyannote[2431].speaker |
SPEAKER_21 |
transcript.pyannote[2431].start |
13006.74096875 |
transcript.pyannote[2431].end |
13007.28096875 |
transcript.pyannote[2432].speaker |
SPEAKER_21 |
transcript.pyannote[2432].start |
13008.20909375 |
transcript.pyannote[2432].end |
13014.01409375 |
transcript.pyannote[2433].speaker |
SPEAKER_21 |
transcript.pyannote[2433].start |
13014.43596875 |
transcript.pyannote[2433].end |
13016.91659375 |
transcript.pyannote[2434].speaker |
SPEAKER_21 |
transcript.pyannote[2434].start |
13017.16971875 |
transcript.pyannote[2434].end |
13019.78534375 |
transcript.pyannote[2435].speaker |
SPEAKER_21 |
transcript.pyannote[2435].start |
13019.97096875 |
transcript.pyannote[2435].end |
13021.62471875 |
transcript.pyannote[2436].speaker |
SPEAKER_21 |
transcript.pyannote[2436].start |
13022.01284375 |
transcript.pyannote[2436].end |
13029.15096875 |
transcript.pyannote[2437].speaker |
SPEAKER_21 |
transcript.pyannote[2437].start |
13030.09596875 |
transcript.pyannote[2437].end |
13030.70346875 |
transcript.pyannote[2438].speaker |
SPEAKER_21 |
transcript.pyannote[2438].start |
13031.36159375 |
transcript.pyannote[2438].end |
13033.26846875 |
transcript.pyannote[2439].speaker |
SPEAKER_21 |
transcript.pyannote[2439].start |
13033.65659375 |
transcript.pyannote[2439].end |
13035.19221875 |
transcript.pyannote[2440].speaker |
SPEAKER_21 |
transcript.pyannote[2440].start |
13035.59721875 |
transcript.pyannote[2440].end |
13039.98471875 |
transcript.pyannote[2441].speaker |
SPEAKER_21 |
transcript.pyannote[2441].start |
13040.28846875 |
transcript.pyannote[2441].end |
13041.57096875 |
transcript.pyannote[2442].speaker |
SPEAKER_21 |
transcript.pyannote[2442].start |
13042.56659375 |
transcript.pyannote[2442].end |
13045.03034375 |
transcript.pyannote[2443].speaker |
SPEAKER_21 |
transcript.pyannote[2443].start |
13045.26659375 |
transcript.pyannote[2443].end |
13045.78971875 |
transcript.pyannote[2444].speaker |
SPEAKER_21 |
transcript.pyannote[2444].start |
13046.02596875 |
transcript.pyannote[2444].end |
13048.77659375 |
transcript.pyannote[2445].speaker |
SPEAKER_21 |
transcript.pyannote[2445].start |
13049.06346875 |
transcript.pyannote[2445].end |
13052.70846875 |
transcript.pyannote[2446].speaker |
SPEAKER_21 |
transcript.pyannote[2446].start |
13053.45096875 |
transcript.pyannote[2446].end |
13055.07096875 |
transcript.pyannote[2447].speaker |
SPEAKER_21 |
transcript.pyannote[2447].start |
13055.61096875 |
transcript.pyannote[2447].end |
13058.68221875 |
transcript.pyannote[2448].speaker |
SPEAKER_21 |
transcript.pyannote[2448].start |
13058.91846875 |
transcript.pyannote[2448].end |
13059.74534375 |
transcript.pyannote[2449].speaker |
SPEAKER_21 |
transcript.pyannote[2449].start |
13060.21784375 |
transcript.pyannote[2449].end |
13062.90096875 |
transcript.pyannote[2450].speaker |
SPEAKER_21 |
transcript.pyannote[2450].start |
13063.37346875 |
transcript.pyannote[2450].end |
13063.77846875 |
transcript.pyannote[2451].speaker |
SPEAKER_21 |
transcript.pyannote[2451].start |
13064.90909375 |
transcript.pyannote[2451].end |
13074.83159375 |
transcript.pyannote[2452].speaker |
SPEAKER_21 |
transcript.pyannote[2452].start |
13075.38846875 |
transcript.pyannote[2452].end |
13076.78909375 |
transcript.pyannote[2453].speaker |
SPEAKER_21 |
transcript.pyannote[2453].start |
13077.17721875 |
transcript.pyannote[2453].end |
13078.94909375 |
transcript.pyannote[2454].speaker |
SPEAKER_21 |
transcript.pyannote[2454].start |
13079.69159375 |
transcript.pyannote[2454].end |
13082.44221875 |
transcript.pyannote[2455].speaker |
SPEAKER_21 |
transcript.pyannote[2455].start |
13082.64471875 |
transcript.pyannote[2455].end |
13087.90971875 |
transcript.pyannote[2456].speaker |
SPEAKER_21 |
transcript.pyannote[2456].start |
13088.28096875 |
transcript.pyannote[2456].end |
13090.89659375 |
transcript.pyannote[2457].speaker |
SPEAKER_21 |
transcript.pyannote[2457].start |
13091.03159375 |
transcript.pyannote[2457].end |
13097.44409375 |
transcript.pyannote[2458].speaker |
SPEAKER_21 |
transcript.pyannote[2458].start |
13097.79846875 |
transcript.pyannote[2458].end |
13101.74721875 |
transcript.pyannote[2459].speaker |
SPEAKER_21 |
transcript.pyannote[2459].start |
13102.11846875 |
transcript.pyannote[2459].end |
13105.86471875 |
transcript.pyannote[2460].speaker |
SPEAKER_21 |
transcript.pyannote[2460].start |
13105.91534375 |
transcript.pyannote[2460].end |
13107.07971875 |
transcript.pyannote[2461].speaker |
SPEAKER_21 |
transcript.pyannote[2461].start |
13107.77159375 |
transcript.pyannote[2461].end |
13115.06159375 |
transcript.pyannote[2462].speaker |
SPEAKER_21 |
transcript.pyannote[2462].start |
13115.66909375 |
transcript.pyannote[2462].end |
13116.00659375 |
transcript.pyannote[2463].speaker |
SPEAKER_21 |
transcript.pyannote[2463].start |
13116.42846875 |
transcript.pyannote[2463].end |
13119.34784375 |
transcript.pyannote[2464].speaker |
SPEAKER_21 |
transcript.pyannote[2464].start |
13119.76971875 |
transcript.pyannote[2464].end |
13122.68909375 |
transcript.pyannote[2465].speaker |
SPEAKER_21 |
transcript.pyannote[2465].start |
13123.16159375 |
transcript.pyannote[2465].end |
13124.35971875 |
transcript.pyannote[2466].speaker |
SPEAKER_21 |
transcript.pyannote[2466].start |
13124.64659375 |
transcript.pyannote[2466].end |
13128.29159375 |
transcript.pyannote[2467].speaker |
SPEAKER_21 |
transcript.pyannote[2467].start |
13128.83159375 |
transcript.pyannote[2467].end |
13130.11409375 |
transcript.pyannote[2468].speaker |
SPEAKER_21 |
transcript.pyannote[2468].start |
13130.68784375 |
transcript.pyannote[2468].end |
13133.06721875 |
transcript.pyannote[2469].speaker |
SPEAKER_21 |
transcript.pyannote[2469].start |
13133.67471875 |
transcript.pyannote[2469].end |
13135.54784375 |
transcript.pyannote[2470].speaker |
SPEAKER_21 |
transcript.pyannote[2470].start |
13135.75034375 |
transcript.pyannote[2470].end |
13149.48659375 |
transcript.pyannote[2471].speaker |
SPEAKER_21 |
transcript.pyannote[2471].start |
13149.68909375 |
transcript.pyannote[2471].end |
13150.43159375 |
transcript.pyannote[2472].speaker |
SPEAKER_21 |
transcript.pyannote[2472].start |
13150.76909375 |
transcript.pyannote[2472].end |
13157.02971875 |
transcript.pyannote[2473].speaker |
SPEAKER_21 |
transcript.pyannote[2473].start |
13157.45159375 |
transcript.pyannote[2473].end |
13161.02909375 |
transcript.pyannote[2474].speaker |
SPEAKER_21 |
transcript.pyannote[2474].start |
13161.26534375 |
transcript.pyannote[2474].end |
13163.00346875 |
transcript.pyannote[2475].speaker |
SPEAKER_21 |
transcript.pyannote[2475].start |
13163.17221875 |
transcript.pyannote[2475].end |
13166.27721875 |
transcript.pyannote[2476].speaker |
SPEAKER_21 |
transcript.pyannote[2476].start |
13166.61471875 |
transcript.pyannote[2476].end |
13170.02346875 |
transcript.pyannote[2477].speaker |
SPEAKER_21 |
transcript.pyannote[2477].start |
13170.51284375 |
transcript.pyannote[2477].end |
13170.96846875 |
transcript.pyannote[2478].speaker |
SPEAKER_21 |
transcript.pyannote[2478].start |
13171.55909375 |
transcript.pyannote[2478].end |
13174.41096875 |
transcript.pyannote[2479].speaker |
SPEAKER_21 |
transcript.pyannote[2479].start |
13174.56284375 |
transcript.pyannote[2479].end |
13191.87659375 |
transcript.pyannote[2480].speaker |
SPEAKER_21 |
transcript.pyannote[2480].start |
13192.11284375 |
transcript.pyannote[2480].end |
13203.63846875 |
transcript.pyannote[2481].speaker |
SPEAKER_21 |
transcript.pyannote[2481].start |
13203.97596875 |
transcript.pyannote[2481].end |
13223.17971875 |
transcript.pyannote[2482].speaker |
SPEAKER_15 |
transcript.pyannote[2482].start |
13223.17971875 |
transcript.pyannote[2482].end |
13223.95596875 |
transcript.pyannote[2483].speaker |
SPEAKER_21 |
transcript.pyannote[2483].start |
13223.95596875 |
transcript.pyannote[2483].end |
13223.97284375 |
transcript.pyannote[2484].speaker |
SPEAKER_15 |
transcript.pyannote[2484].start |
13223.97284375 |
transcript.pyannote[2484].end |
13249.52159375 |
transcript.pyannote[2485].speaker |
SPEAKER_15 |
transcript.pyannote[2485].start |
13250.11221875 |
transcript.pyannote[2485].end |
13263.03846875 |
transcript.pyannote[2486].speaker |
SPEAKER_15 |
transcript.pyannote[2486].start |
13263.40971875 |
transcript.pyannote[2486].end |
13278.24284375 |
transcript.pyannote[2487].speaker |
SPEAKER_21 |
transcript.pyannote[2487].start |
13278.24284375 |
transcript.pyannote[2487].end |
13289.98784375 |
transcript.pyannote[2488].speaker |
SPEAKER_15 |
transcript.pyannote[2488].start |
13286.03909375 |
transcript.pyannote[2488].end |
13286.46096875 |
transcript.pyannote[2489].speaker |
SPEAKER_21 |
transcript.pyannote[2489].start |
13290.00471875 |
transcript.pyannote[2489].end |
13290.03846875 |
transcript.pyannote[2490].speaker |
SPEAKER_21 |
transcript.pyannote[2490].start |
13290.08909375 |
transcript.pyannote[2490].end |
13290.74721875 |
transcript.pyannote[2491].speaker |
SPEAKER_15 |
transcript.pyannote[2491].start |
13291.15221875 |
transcript.pyannote[2491].end |
13294.32471875 |
transcript.pyannote[2492].speaker |
SPEAKER_08 |
transcript.pyannote[2492].start |
13295.82659375 |
transcript.pyannote[2492].end |
13296.19784375 |
transcript.pyannote[2493].speaker |
SPEAKER_08 |
transcript.pyannote[2493].start |
13297.09221875 |
transcript.pyannote[2493].end |
13297.19346875 |
transcript.pyannote[2494].speaker |
SPEAKER_08 |
transcript.pyannote[2494].start |
13297.98659375 |
transcript.pyannote[2494].end |
13306.17096875 |
transcript.pyannote[2495].speaker |
SPEAKER_06 |
transcript.pyannote[2495].start |
13313.07284375 |
transcript.pyannote[2495].end |
13314.27096875 |
transcript.pyannote[2496].speaker |
SPEAKER_06 |
transcript.pyannote[2496].start |
13314.57471875 |
transcript.pyannote[2496].end |
13316.90346875 |
transcript.pyannote[2497].speaker |
SPEAKER_06 |
transcript.pyannote[2497].start |
13317.20721875 |
transcript.pyannote[2497].end |
13318.25346875 |
transcript.pyannote[2498].speaker |
SPEAKER_06 |
transcript.pyannote[2498].start |
13326.03284375 |
transcript.pyannote[2498].end |
13344.13971875 |
transcript.pyannote[2499].speaker |
SPEAKER_06 |
transcript.pyannote[2499].start |
13344.93284375 |
transcript.pyannote[2499].end |
13376.37096875 |
transcript.pyannote[2500].speaker |
SPEAKER_20 |
transcript.pyannote[2500].start |
13375.24034375 |
transcript.pyannote[2500].end |
13375.29096875 |
transcript.pyannote[2501].speaker |
SPEAKER_06 |
transcript.pyannote[2501].start |
13377.51846875 |
transcript.pyannote[2501].end |
13378.49721875 |
transcript.pyannote[2502].speaker |
SPEAKER_06 |
transcript.pyannote[2502].start |
13378.73346875 |
transcript.pyannote[2502].end |
13426.89471875 |
transcript.pyannote[2503].speaker |
SPEAKER_15 |
transcript.pyannote[2503].start |
13428.73409375 |
transcript.pyannote[2503].end |
13429.29096875 |
transcript.pyannote[2504].speaker |
SPEAKER_15 |
transcript.pyannote[2504].start |
13429.86471875 |
transcript.pyannote[2504].end |
13436.61471875 |
transcript.pyannote[2505].speaker |
SPEAKER_06 |
transcript.pyannote[2505].start |
13434.38721875 |
transcript.pyannote[2505].end |
13434.40409375 |
transcript.pyannote[2506].speaker |
SPEAKER_20 |
transcript.pyannote[2506].start |
13434.40409375 |
transcript.pyannote[2506].end |
13435.14659375 |
transcript.pyannote[2507].speaker |
SPEAKER_20 |
transcript.pyannote[2507].start |
13436.49659375 |
transcript.pyannote[2507].end |
13437.93096875 |
transcript.pyannote[2508].speaker |
SPEAKER_15 |
transcript.pyannote[2508].start |
13436.83409375 |
transcript.pyannote[2508].end |
13444.86659375 |
transcript.pyannote[2509].speaker |
SPEAKER_06 |
transcript.pyannote[2509].start |
13437.93096875 |
transcript.pyannote[2509].end |
13437.96471875 |
transcript.pyannote[2510].speaker |
SPEAKER_20 |
transcript.pyannote[2510].start |
13439.34846875 |
transcript.pyannote[2510].end |
13439.36534375 |
transcript.pyannote[2511].speaker |
SPEAKER_06 |
transcript.pyannote[2511].start |
13439.36534375 |
transcript.pyannote[2511].end |
13440.24284375 |
transcript.pyannote[2512].speaker |
SPEAKER_06 |
transcript.pyannote[2512].start |
13444.86659375 |
transcript.pyannote[2512].end |
13455.54846875 |
transcript.pyannote[2513].speaker |
SPEAKER_06 |
transcript.pyannote[2513].start |
13456.59471875 |
transcript.pyannote[2513].end |
13506.89909375 |
transcript.pyannote[2514].speaker |
SPEAKER_06 |
transcript.pyannote[2514].start |
13507.48971875 |
transcript.pyannote[2514].end |
13515.03284375 |
transcript.pyannote[2515].speaker |
SPEAKER_15 |
transcript.pyannote[2515].start |
13515.55596875 |
transcript.pyannote[2515].end |
13520.14596875 |
transcript.pyannote[2516].speaker |
SPEAKER_15 |
transcript.pyannote[2516].start |
13520.71971875 |
transcript.pyannote[2516].end |
13522.44096875 |
transcript.pyannote[2517].speaker |
SPEAKER_06 |
transcript.pyannote[2517].start |
13522.42409375 |
transcript.pyannote[2517].end |
13562.35034375 |
transcript.pyannote[2518].speaker |
SPEAKER_22 |
transcript.pyannote[2518].start |
13562.56971875 |
transcript.pyannote[2518].end |
13563.05909375 |
transcript.pyannote[2519].speaker |
SPEAKER_06 |
transcript.pyannote[2519].start |
13563.05909375 |
transcript.pyannote[2519].end |
13596.87659375 |
transcript.pyannote[2520].speaker |
SPEAKER_22 |
transcript.pyannote[2520].start |
13597.23096875 |
transcript.pyannote[2520].end |
13597.97346875 |
transcript.pyannote[2521].speaker |
SPEAKER_06 |
transcript.pyannote[2521].start |
13597.65284375 |
transcript.pyannote[2521].end |
13599.69471875 |
transcript.pyannote[2522].speaker |
SPEAKER_08 |
transcript.pyannote[2522].start |
13599.69471875 |
transcript.pyannote[2522].end |
13599.71159375 |
transcript.pyannote[2523].speaker |
SPEAKER_06 |
transcript.pyannote[2523].start |
13600.72409375 |
transcript.pyannote[2523].end |
13600.97721875 |
transcript.pyannote[2524].speaker |
SPEAKER_08 |
transcript.pyannote[2524].start |
13600.97721875 |
transcript.pyannote[2524].end |
13601.02784375 |
transcript.pyannote[2525].speaker |
SPEAKER_06 |
transcript.pyannote[2525].start |
13601.44971875 |
transcript.pyannote[2525].end |
13601.46659375 |
transcript.pyannote[2526].speaker |
SPEAKER_08 |
transcript.pyannote[2526].start |
13601.46659375 |
transcript.pyannote[2526].end |
13607.79471875 |
transcript.pyannote[2527].speaker |
SPEAKER_08 |
transcript.pyannote[2527].start |
13608.14909375 |
transcript.pyannote[2527].end |
13615.99596875 |
transcript.pyannote[2528].speaker |
SPEAKER_17 |
transcript.pyannote[2528].start |
13638.47346875 |
transcript.pyannote[2528].end |
13640.17784375 |
transcript.pyannote[2529].speaker |
SPEAKER_17 |
transcript.pyannote[2529].start |
13641.12284375 |
transcript.pyannote[2529].end |
13641.91596875 |
transcript.pyannote[2530].speaker |
SPEAKER_17 |
transcript.pyannote[2530].start |
13648.12596875 |
transcript.pyannote[2530].end |
13657.79534375 |
transcript.pyannote[2531].speaker |
SPEAKER_17 |
transcript.pyannote[2531].start |
13658.14971875 |
transcript.pyannote[2531].end |
13658.75721875 |
transcript.pyannote[2532].speaker |
SPEAKER_17 |
transcript.pyannote[2532].start |
13659.33096875 |
transcript.pyannote[2532].end |
13662.13221875 |
transcript.pyannote[2533].speaker |
SPEAKER_15 |
transcript.pyannote[2533].start |
13659.38159375 |
transcript.pyannote[2533].end |
13660.19159375 |
transcript.pyannote[2534].speaker |
SPEAKER_17 |
transcript.pyannote[2534].start |
13662.62159375 |
transcript.pyannote[2534].end |
13663.75221875 |
transcript.pyannote[2535].speaker |
SPEAKER_15 |
transcript.pyannote[2535].start |
13662.72284375 |
transcript.pyannote[2535].end |
13663.39784375 |
transcript.pyannote[2536].speaker |
SPEAKER_17 |
transcript.pyannote[2536].start |
13664.34284375 |
transcript.pyannote[2536].end |
13666.35096875 |
transcript.pyannote[2537].speaker |
SPEAKER_17 |
transcript.pyannote[2537].start |
13666.43534375 |
transcript.pyannote[2537].end |
13667.63346875 |
transcript.pyannote[2538].speaker |
SPEAKER_17 |
transcript.pyannote[2538].start |
13667.88659375 |
transcript.pyannote[2538].end |
13670.60346875 |
transcript.pyannote[2539].speaker |
SPEAKER_17 |
transcript.pyannote[2539].start |
13671.31221875 |
transcript.pyannote[2539].end |
13673.32034375 |
transcript.pyannote[2540].speaker |
SPEAKER_17 |
transcript.pyannote[2540].start |
13674.73784375 |
transcript.pyannote[2540].end |
13675.02471875 |
transcript.pyannote[2541].speaker |
SPEAKER_17 |
transcript.pyannote[2541].start |
13675.75034375 |
transcript.pyannote[2541].end |
13676.79659375 |
transcript.pyannote[2542].speaker |
SPEAKER_17 |
transcript.pyannote[2542].start |
13677.30284375 |
transcript.pyannote[2542].end |
13678.11284375 |
transcript.pyannote[2543].speaker |
SPEAKER_17 |
transcript.pyannote[2543].start |
13678.92284375 |
transcript.pyannote[2543].end |
13680.66096875 |
transcript.pyannote[2544].speaker |
SPEAKER_17 |
transcript.pyannote[2544].start |
13681.67346875 |
transcript.pyannote[2544].end |
13682.77034375 |
transcript.pyannote[2545].speaker |
SPEAKER_17 |
transcript.pyannote[2545].start |
13683.90096875 |
transcript.pyannote[2545].end |
13684.72784375 |
transcript.pyannote[2546].speaker |
SPEAKER_17 |
transcript.pyannote[2546].start |
13685.68971875 |
transcript.pyannote[2546].end |
13687.32659375 |
transcript.pyannote[2547].speaker |
SPEAKER_17 |
transcript.pyannote[2547].start |
13687.88346875 |
transcript.pyannote[2547].end |
13688.65971875 |
transcript.pyannote[2548].speaker |
SPEAKER_17 |
transcript.pyannote[2548].start |
13689.60471875 |
transcript.pyannote[2548].end |
13690.76909375 |
transcript.pyannote[2549].speaker |
SPEAKER_17 |
transcript.pyannote[2549].start |
13691.51159375 |
transcript.pyannote[2549].end |
13693.13159375 |
transcript.pyannote[2550].speaker |
SPEAKER_17 |
transcript.pyannote[2550].start |
13693.62096875 |
transcript.pyannote[2550].end |
13695.25784375 |
transcript.pyannote[2551].speaker |
SPEAKER_17 |
transcript.pyannote[2551].start |
13696.05096875 |
transcript.pyannote[2551].end |
13697.21534375 |
transcript.pyannote[2552].speaker |
SPEAKER_17 |
transcript.pyannote[2552].start |
13697.95784375 |
transcript.pyannote[2552].end |
13698.85221875 |
transcript.pyannote[2553].speaker |
SPEAKER_17 |
transcript.pyannote[2553].start |
13699.10534375 |
transcript.pyannote[2553].end |
13700.03346875 |
transcript.pyannote[2554].speaker |
SPEAKER_17 |
transcript.pyannote[2554].start |
13700.65784375 |
transcript.pyannote[2554].end |
13701.83909375 |
transcript.pyannote[2555].speaker |
SPEAKER_17 |
transcript.pyannote[2555].start |
13703.12159375 |
transcript.pyannote[2555].end |
13704.85971875 |
transcript.pyannote[2556].speaker |
SPEAKER_17 |
transcript.pyannote[2556].start |
13705.77096875 |
transcript.pyannote[2556].end |
13706.86784375 |
transcript.pyannote[2557].speaker |
SPEAKER_17 |
transcript.pyannote[2557].start |
13707.47534375 |
transcript.pyannote[2557].end |
13708.26846875 |
transcript.pyannote[2558].speaker |
SPEAKER_17 |
transcript.pyannote[2558].start |
13708.77471875 |
transcript.pyannote[2558].end |
13709.97284375 |
transcript.pyannote[2559].speaker |
SPEAKER_17 |
transcript.pyannote[2559].start |
13710.22596875 |
transcript.pyannote[2559].end |
13711.49159375 |
transcript.pyannote[2560].speaker |
SPEAKER_17 |
transcript.pyannote[2560].start |
13712.26784375 |
transcript.pyannote[2560].end |
13715.55846875 |
transcript.pyannote[2561].speaker |
SPEAKER_17 |
transcript.pyannote[2561].start |
13716.26721875 |
transcript.pyannote[2561].end |
13717.92096875 |
transcript.pyannote[2562].speaker |
SPEAKER_17 |
transcript.pyannote[2562].start |
13718.83221875 |
transcript.pyannote[2562].end |
13719.45659375 |
transcript.pyannote[2563].speaker |
SPEAKER_17 |
transcript.pyannote[2563].start |
13720.82346875 |
transcript.pyannote[2563].end |
13723.62471875 |
transcript.pyannote[2564].speaker |
SPEAKER_17 |
transcript.pyannote[2564].start |
13724.09721875 |
transcript.pyannote[2564].end |
13724.56971875 |
transcript.pyannote[2565].speaker |
SPEAKER_17 |
transcript.pyannote[2565].start |
13726.02096875 |
transcript.pyannote[2565].end |
13727.64096875 |
transcript.pyannote[2566].speaker |
SPEAKER_17 |
transcript.pyannote[2566].start |
13729.15971875 |
transcript.pyannote[2566].end |
13729.93596875 |
transcript.pyannote[2567].speaker |
SPEAKER_17 |
transcript.pyannote[2567].start |
13731.31971875 |
transcript.pyannote[2567].end |
13732.82159375 |
transcript.pyannote[2568].speaker |
SPEAKER_17 |
transcript.pyannote[2568].start |
13733.05784375 |
transcript.pyannote[2568].end |
13734.07034375 |
transcript.pyannote[2569].speaker |
SPEAKER_17 |
transcript.pyannote[2569].start |
13735.96034375 |
transcript.pyannote[2569].end |
13737.69846875 |
transcript.pyannote[2570].speaker |
SPEAKER_17 |
transcript.pyannote[2570].start |
13737.76596875 |
transcript.pyannote[2570].end |
13740.24659375 |
transcript.pyannote[2571].speaker |
SPEAKER_17 |
transcript.pyannote[2571].start |
13740.63471875 |
transcript.pyannote[2571].end |
13743.25034375 |
transcript.pyannote[2572].speaker |
SPEAKER_17 |
transcript.pyannote[2572].start |
13743.97596875 |
transcript.pyannote[2572].end |
13744.92096875 |
transcript.pyannote[2573].speaker |
SPEAKER_17 |
transcript.pyannote[2573].start |
13745.54534375 |
transcript.pyannote[2573].end |
13746.11909375 |
transcript.pyannote[2574].speaker |
SPEAKER_17 |
transcript.pyannote[2574].start |
13747.13159375 |
transcript.pyannote[2574].end |
13750.45596875 |
transcript.pyannote[2575].speaker |
SPEAKER_17 |
transcript.pyannote[2575].start |
13750.62471875 |
transcript.pyannote[2575].end |
13751.87346875 |
transcript.pyannote[2576].speaker |
SPEAKER_17 |
transcript.pyannote[2576].start |
13752.61596875 |
transcript.pyannote[2576].end |
13754.74221875 |
transcript.pyannote[2577].speaker |
SPEAKER_17 |
transcript.pyannote[2577].start |
13755.45096875 |
transcript.pyannote[2577].end |
13756.15971875 |
transcript.pyannote[2578].speaker |
SPEAKER_17 |
transcript.pyannote[2578].start |
13756.76721875 |
transcript.pyannote[2578].end |
13760.54721875 |
transcript.pyannote[2579].speaker |
SPEAKER_17 |
transcript.pyannote[2579].start |
13761.15471875 |
transcript.pyannote[2579].end |
13763.60159375 |
transcript.pyannote[2580].speaker |
SPEAKER_17 |
transcript.pyannote[2580].start |
13764.98534375 |
transcript.pyannote[2580].end |
13765.57596875 |
transcript.pyannote[2581].speaker |
SPEAKER_17 |
transcript.pyannote[2581].start |
13766.31846875 |
transcript.pyannote[2581].end |
13767.75284375 |
transcript.pyannote[2582].speaker |
SPEAKER_17 |
transcript.pyannote[2582].start |
13768.07346875 |
transcript.pyannote[2582].end |
13769.32221875 |
transcript.pyannote[2583].speaker |
SPEAKER_17 |
transcript.pyannote[2583].start |
13769.82846875 |
transcript.pyannote[2583].end |
13771.12784375 |
transcript.pyannote[2584].speaker |
SPEAKER_17 |
transcript.pyannote[2584].start |
13771.97159375 |
transcript.pyannote[2584].end |
13773.86159375 |
transcript.pyannote[2585].speaker |
SPEAKER_17 |
transcript.pyannote[2585].start |
13774.38471875 |
transcript.pyannote[2585].end |
13777.97909375 |
transcript.pyannote[2586].speaker |
SPEAKER_17 |
transcript.pyannote[2586].start |
13780.22346875 |
transcript.pyannote[2586].end |
13782.29909375 |
transcript.pyannote[2587].speaker |
SPEAKER_17 |
transcript.pyannote[2587].start |
13782.78846875 |
transcript.pyannote[2587].end |
13784.37471875 |
transcript.pyannote[2588].speaker |
SPEAKER_17 |
transcript.pyannote[2588].start |
13785.38721875 |
transcript.pyannote[2588].end |
13788.17159375 |
transcript.pyannote[2589].speaker |
SPEAKER_17 |
transcript.pyannote[2589].start |
13788.55971875 |
transcript.pyannote[2589].end |
13790.28096875 |
transcript.pyannote[2590].speaker |
SPEAKER_17 |
transcript.pyannote[2590].start |
13790.85471875 |
transcript.pyannote[2590].end |
13792.27221875 |
transcript.pyannote[2591].speaker |
SPEAKER_17 |
transcript.pyannote[2591].start |
13794.12846875 |
transcript.pyannote[2591].end |
13794.93846875 |
transcript.pyannote[2592].speaker |
SPEAKER_17 |
transcript.pyannote[2592].start |
13795.19159375 |
transcript.pyannote[2592].end |
13796.11971875 |
transcript.pyannote[2593].speaker |
SPEAKER_17 |
transcript.pyannote[2593].start |
13796.79471875 |
transcript.pyannote[2593].end |
13797.26721875 |
transcript.pyannote[2594].speaker |
SPEAKER_17 |
transcript.pyannote[2594].start |
13799.32596875 |
transcript.pyannote[2594].end |
13800.99659375 |
transcript.pyannote[2595].speaker |
SPEAKER_17 |
transcript.pyannote[2595].start |
13801.53659375 |
transcript.pyannote[2595].end |
13801.87409375 |
transcript.pyannote[2596].speaker |
SPEAKER_17 |
transcript.pyannote[2596].start |
13802.80221875 |
transcript.pyannote[2596].end |
13803.79784375 |
transcript.pyannote[2597].speaker |
SPEAKER_17 |
transcript.pyannote[2597].start |
13804.50659375 |
transcript.pyannote[2597].end |
13806.80159375 |
transcript.pyannote[2598].speaker |
SPEAKER_17 |
transcript.pyannote[2598].start |
13807.61159375 |
transcript.pyannote[2598].end |
13810.17659375 |
transcript.pyannote[2599].speaker |
SPEAKER_17 |
transcript.pyannote[2599].start |
13810.64909375 |
transcript.pyannote[2599].end |
13811.44221875 |
transcript.pyannote[2600].speaker |
SPEAKER_17 |
transcript.pyannote[2600].start |
13813.16346875 |
transcript.pyannote[2600].end |
13817.36534375 |
transcript.pyannote[2601].speaker |
SPEAKER_17 |
transcript.pyannote[2601].start |
13820.35221875 |
transcript.pyannote[2601].end |
13822.66409375 |
transcript.pyannote[2602].speaker |
SPEAKER_17 |
transcript.pyannote[2602].start |
13823.94659375 |
transcript.pyannote[2602].end |
13827.06846875 |
transcript.pyannote[2603].speaker |
SPEAKER_17 |
transcript.pyannote[2603].start |
13827.79409375 |
transcript.pyannote[2603].end |
13830.71346875 |
transcript.pyannote[2604].speaker |
SPEAKER_17 |
transcript.pyannote[2604].start |
13831.45596875 |
transcript.pyannote[2604].end |
13832.48534375 |
transcript.pyannote[2605].speaker |
SPEAKER_17 |
transcript.pyannote[2605].start |
13832.92409375 |
transcript.pyannote[2605].end |
13836.16409375 |
transcript.pyannote[2606].speaker |
SPEAKER_17 |
transcript.pyannote[2606].start |
13836.61971875 |
transcript.pyannote[2606].end |
13837.15971875 |
transcript.pyannote[2607].speaker |
SPEAKER_17 |
transcript.pyannote[2607].start |
13837.66596875 |
transcript.pyannote[2607].end |
13843.70721875 |
transcript.pyannote[2608].speaker |
SPEAKER_17 |
transcript.pyannote[2608].start |
13844.11221875 |
transcript.pyannote[2608].end |
13845.64784375 |
transcript.pyannote[2609].speaker |
SPEAKER_17 |
transcript.pyannote[2609].start |
13846.66034375 |
transcript.pyannote[2609].end |
13847.35221875 |
transcript.pyannote[2610].speaker |
SPEAKER_17 |
transcript.pyannote[2610].start |
13847.85846875 |
transcript.pyannote[2610].end |
13849.37721875 |
transcript.pyannote[2611].speaker |
SPEAKER_17 |
transcript.pyannote[2611].start |
13849.73159375 |
transcript.pyannote[2611].end |
13852.61721875 |
transcript.pyannote[2612].speaker |
SPEAKER_17 |
transcript.pyannote[2612].start |
13852.87034375 |
transcript.pyannote[2612].end |
13854.23721875 |
transcript.pyannote[2613].speaker |
SPEAKER_17 |
transcript.pyannote[2613].start |
13854.35534375 |
transcript.pyannote[2613].end |
13856.17784375 |
transcript.pyannote[2614].speaker |
SPEAKER_17 |
transcript.pyannote[2614].start |
13856.80221875 |
transcript.pyannote[2614].end |
13858.87784375 |
transcript.pyannote[2615].speaker |
SPEAKER_17 |
transcript.pyannote[2615].start |
13859.78909375 |
transcript.pyannote[2615].end |
13860.81846875 |
transcript.pyannote[2616].speaker |
SPEAKER_17 |
transcript.pyannote[2616].start |
13861.17284375 |
transcript.pyannote[2616].end |
13863.23159375 |
transcript.pyannote[2617].speaker |
SPEAKER_17 |
transcript.pyannote[2617].start |
13863.61971875 |
transcript.pyannote[2617].end |
13864.59846875 |
transcript.pyannote[2618].speaker |
SPEAKER_17 |
transcript.pyannote[2618].start |
13865.00346875 |
transcript.pyannote[2618].end |
13865.81346875 |
transcript.pyannote[2619].speaker |
SPEAKER_17 |
transcript.pyannote[2619].start |
13866.72471875 |
transcript.pyannote[2619].end |
13867.85534375 |
transcript.pyannote[2620].speaker |
SPEAKER_17 |
transcript.pyannote[2620].start |
13868.24346875 |
transcript.pyannote[2620].end |
13870.90971875 |
transcript.pyannote[2621].speaker |
SPEAKER_17 |
transcript.pyannote[2621].start |
13871.21346875 |
transcript.pyannote[2621].end |
13873.03596875 |
transcript.pyannote[2622].speaker |
SPEAKER_17 |
transcript.pyannote[2622].start |
13873.30596875 |
transcript.pyannote[2622].end |
13875.31409375 |
transcript.pyannote[2623].speaker |
SPEAKER_17 |
transcript.pyannote[2623].start |
13875.70221875 |
transcript.pyannote[2623].end |
13877.32221875 |
transcript.pyannote[2624].speaker |
SPEAKER_17 |
transcript.pyannote[2624].start |
13877.86221875 |
transcript.pyannote[2624].end |
13878.58784375 |
transcript.pyannote[2625].speaker |
SPEAKER_17 |
transcript.pyannote[2625].start |
13879.24596875 |
transcript.pyannote[2625].end |
13881.82784375 |
transcript.pyannote[2626].speaker |
SPEAKER_17 |
transcript.pyannote[2626].start |
13883.00909375 |
transcript.pyannote[2626].end |
13885.62471875 |
transcript.pyannote[2627].speaker |
SPEAKER_17 |
transcript.pyannote[2627].start |
13886.41784375 |
transcript.pyannote[2627].end |
13887.66659375 |
transcript.pyannote[2628].speaker |
SPEAKER_17 |
transcript.pyannote[2628].start |
13888.44284375 |
transcript.pyannote[2628].end |
13889.33721875 |
transcript.pyannote[2629].speaker |
SPEAKER_17 |
transcript.pyannote[2629].start |
13893.15096875 |
transcript.pyannote[2629].end |
13893.42096875 |
transcript.pyannote[2630].speaker |
SPEAKER_17 |
transcript.pyannote[2630].start |
13893.79221875 |
transcript.pyannote[2630].end |
13894.28159375 |
transcript.pyannote[2631].speaker |
SPEAKER_17 |
transcript.pyannote[2631].start |
13894.68659375 |
transcript.pyannote[2631].end |
13896.10409375 |
transcript.pyannote[2632].speaker |
SPEAKER_17 |
transcript.pyannote[2632].start |
13896.45846875 |
transcript.pyannote[2632].end |
13899.41159375 |
transcript.pyannote[2633].speaker |
SPEAKER_17 |
transcript.pyannote[2633].start |
13900.28909375 |
transcript.pyannote[2633].end |
13901.26784375 |
transcript.pyannote[2634].speaker |
SPEAKER_17 |
transcript.pyannote[2634].start |
13903.76534375 |
transcript.pyannote[2634].end |
13906.85346875 |
transcript.pyannote[2635].speaker |
SPEAKER_17 |
transcript.pyannote[2635].start |
13907.41034375 |
transcript.pyannote[2635].end |
13908.87846875 |
transcript.pyannote[2636].speaker |
SPEAKER_17 |
transcript.pyannote[2636].start |
13909.53659375 |
transcript.pyannote[2636].end |
13910.56596875 |
transcript.pyannote[2637].speaker |
SPEAKER_17 |
transcript.pyannote[2637].start |
13910.80221875 |
transcript.pyannote[2637].end |
13912.42221875 |
transcript.pyannote[2638].speaker |
SPEAKER_17 |
transcript.pyannote[2638].start |
13912.92846875 |
transcript.pyannote[2638].end |
13914.51471875 |
transcript.pyannote[2639].speaker |
SPEAKER_17 |
transcript.pyannote[2639].start |
13915.29096875 |
transcript.pyannote[2639].end |
13917.67034375 |
transcript.pyannote[2640].speaker |
SPEAKER_17 |
transcript.pyannote[2640].start |
13918.22721875 |
transcript.pyannote[2640].end |
13923.54284375 |
transcript.pyannote[2641].speaker |
SPEAKER_17 |
transcript.pyannote[2641].start |
13924.70721875 |
transcript.pyannote[2641].end |
13928.47034375 |
transcript.pyannote[2642].speaker |
SPEAKER_17 |
transcript.pyannote[2642].start |
13928.68971875 |
transcript.pyannote[2642].end |
13932.57096875 |
transcript.pyannote[2643].speaker |
SPEAKER_17 |
transcript.pyannote[2643].start |
13934.88284375 |
transcript.pyannote[2643].end |
13935.27096875 |
transcript.pyannote[2644].speaker |
SPEAKER_17 |
transcript.pyannote[2644].start |
13935.69284375 |
transcript.pyannote[2644].end |
13936.77284375 |
transcript.pyannote[2645].speaker |
SPEAKER_17 |
transcript.pyannote[2645].start |
13937.17784375 |
transcript.pyannote[2645].end |
13938.30846875 |
transcript.pyannote[2646].speaker |
SPEAKER_17 |
transcript.pyannote[2646].start |
13939.64159375 |
transcript.pyannote[2646].end |
13944.61971875 |
transcript.pyannote[2647].speaker |
SPEAKER_17 |
transcript.pyannote[2647].start |
13944.92346875 |
transcript.pyannote[2647].end |
13947.31971875 |
transcript.pyannote[2648].speaker |
SPEAKER_17 |
transcript.pyannote[2648].start |
13947.91034375 |
transcript.pyannote[2648].end |
13949.36159375 |
transcript.pyannote[2649].speaker |
SPEAKER_17 |
transcript.pyannote[2649].start |
13949.76659375 |
transcript.pyannote[2649].end |
13951.94346875 |
transcript.pyannote[2650].speaker |
SPEAKER_17 |
transcript.pyannote[2650].start |
13952.31471875 |
transcript.pyannote[2650].end |
13953.37784375 |
transcript.pyannote[2651].speaker |
SPEAKER_17 |
transcript.pyannote[2651].start |
13954.25534375 |
transcript.pyannote[2651].end |
13956.31409375 |
transcript.pyannote[2652].speaker |
SPEAKER_17 |
transcript.pyannote[2652].start |
13956.39846875 |
transcript.pyannote[2652].end |
13958.11971875 |
transcript.pyannote[2653].speaker |
SPEAKER_17 |
transcript.pyannote[2653].start |
13959.14909375 |
transcript.pyannote[2653].end |
13960.75221875 |
transcript.pyannote[2654].speaker |
SPEAKER_17 |
transcript.pyannote[2654].start |
13961.54534375 |
transcript.pyannote[2654].end |
13963.87409375 |
transcript.pyannote[2655].speaker |
SPEAKER_17 |
transcript.pyannote[2655].start |
13964.05971875 |
transcript.pyannote[2655].end |
13964.70096875 |
transcript.pyannote[2656].speaker |
SPEAKER_17 |
transcript.pyannote[2656].start |
13965.66284375 |
transcript.pyannote[2656].end |
13967.63721875 |
transcript.pyannote[2657].speaker |
SPEAKER_17 |
transcript.pyannote[2657].start |
13967.94096875 |
transcript.pyannote[2657].end |
13968.91971875 |
transcript.pyannote[2658].speaker |
SPEAKER_17 |
transcript.pyannote[2658].start |
13969.13909375 |
transcript.pyannote[2658].end |
13969.67909375 |
transcript.pyannote[2659].speaker |
SPEAKER_17 |
transcript.pyannote[2659].start |
13970.40471875 |
transcript.pyannote[2659].end |
13971.31596875 |
transcript.pyannote[2660].speaker |
SPEAKER_17 |
transcript.pyannote[2660].start |
13972.54784375 |
transcript.pyannote[2660].end |
13973.27346875 |
transcript.pyannote[2661].speaker |
SPEAKER_17 |
transcript.pyannote[2661].start |
13974.16784375 |
transcript.pyannote[2661].end |
13975.53471875 |
transcript.pyannote[2662].speaker |
SPEAKER_17 |
transcript.pyannote[2662].start |
13975.88909375 |
transcript.pyannote[2662].end |
13976.91846875 |
transcript.pyannote[2663].speaker |
SPEAKER_17 |
transcript.pyannote[2663].start |
13977.15471875 |
transcript.pyannote[2663].end |
13978.77471875 |
transcript.pyannote[2664].speaker |
SPEAKER_17 |
transcript.pyannote[2664].start |
13979.66909375 |
transcript.pyannote[2664].end |
13981.74471875 |
transcript.pyannote[2665].speaker |
SPEAKER_17 |
transcript.pyannote[2665].start |
13982.25096875 |
transcript.pyannote[2665].end |
13983.80346875 |
transcript.pyannote[2666].speaker |
SPEAKER_17 |
transcript.pyannote[2666].start |
13984.86659375 |
transcript.pyannote[2666].end |
13987.66784375 |
transcript.pyannote[2667].speaker |
SPEAKER_17 |
transcript.pyannote[2667].start |
13988.64659375 |
transcript.pyannote[2667].end |
13989.15284375 |
transcript.pyannote[2668].speaker |
SPEAKER_17 |
transcript.pyannote[2668].start |
13989.74346875 |
transcript.pyannote[2668].end |
13991.32971875 |
transcript.pyannote[2669].speaker |
SPEAKER_17 |
transcript.pyannote[2669].start |
13991.76846875 |
transcript.pyannote[2669].end |
13993.00034375 |
transcript.pyannote[2670].speaker |
SPEAKER_17 |
transcript.pyannote[2670].start |
13993.47284375 |
transcript.pyannote[2670].end |
13994.73846875 |
transcript.pyannote[2671].speaker |
SPEAKER_17 |
transcript.pyannote[2671].start |
13995.88596875 |
transcript.pyannote[2671].end |
13997.11784375 |
transcript.pyannote[2672].speaker |
SPEAKER_17 |
transcript.pyannote[2672].start |
13997.84346875 |
transcript.pyannote[2672].end |
13998.85596875 |
transcript.pyannote[2673].speaker |
SPEAKER_17 |
transcript.pyannote[2673].start |
14000.12159375 |
transcript.pyannote[2673].end |
14002.01159375 |
transcript.pyannote[2674].speaker |
SPEAKER_17 |
transcript.pyannote[2674].start |
14002.18034375 |
transcript.pyannote[2674].end |
14003.32784375 |
transcript.pyannote[2675].speaker |
SPEAKER_17 |
transcript.pyannote[2675].start |
14003.42909375 |
transcript.pyannote[2675].end |
14005.04909375 |
transcript.pyannote[2676].speaker |
SPEAKER_17 |
transcript.pyannote[2676].start |
14005.18409375 |
transcript.pyannote[2676].end |
14006.51721875 |
transcript.pyannote[2677].speaker |
SPEAKER_17 |
transcript.pyannote[2677].start |
14006.78721875 |
transcript.pyannote[2677].end |
14009.62221875 |
transcript.pyannote[2678].speaker |
SPEAKER_17 |
transcript.pyannote[2678].start |
14010.29721875 |
transcript.pyannote[2678].end |
14019.08909375 |
transcript.pyannote[2679].speaker |
SPEAKER_17 |
transcript.pyannote[2679].start |
14020.10159375 |
transcript.pyannote[2679].end |
14020.54034375 |
transcript.pyannote[2680].speaker |
SPEAKER_17 |
transcript.pyannote[2680].start |
14021.26596875 |
transcript.pyannote[2680].end |
14021.87346875 |
transcript.pyannote[2681].speaker |
SPEAKER_17 |
transcript.pyannote[2681].start |
14023.34159375 |
transcript.pyannote[2681].end |
14024.91096875 |
transcript.pyannote[2682].speaker |
SPEAKER_17 |
transcript.pyannote[2682].start |
14025.14721875 |
transcript.pyannote[2682].end |
14027.00346875 |
transcript.pyannote[2683].speaker |
SPEAKER_17 |
transcript.pyannote[2683].start |
14027.59409375 |
transcript.pyannote[2683].end |
14028.28596875 |
transcript.pyannote[2684].speaker |
SPEAKER_17 |
transcript.pyannote[2684].start |
14030.73284375 |
transcript.pyannote[2684].end |
14034.74909375 |
transcript.pyannote[2685].speaker |
SPEAKER_17 |
transcript.pyannote[2685].start |
14036.08221875 |
transcript.pyannote[2685].end |
14040.08159375 |
transcript.pyannote[2686].speaker |
SPEAKER_17 |
transcript.pyannote[2686].start |
14040.38534375 |
transcript.pyannote[2686].end |
14041.00971875 |
transcript.pyannote[2687].speaker |
SPEAKER_17 |
transcript.pyannote[2687].start |
14041.27971875 |
transcript.pyannote[2687].end |
14042.35971875 |
transcript.pyannote[2688].speaker |
SPEAKER_17 |
transcript.pyannote[2688].start |
14043.28784375 |
transcript.pyannote[2688].end |
14044.30034375 |
transcript.pyannote[2689].speaker |
SPEAKER_17 |
transcript.pyannote[2689].start |
14045.04284375 |
transcript.pyannote[2689].end |
14046.27471875 |
transcript.pyannote[2690].speaker |
SPEAKER_17 |
transcript.pyannote[2690].start |
14046.56159375 |
transcript.pyannote[2690].end |
14048.06346875 |
transcript.pyannote[2691].speaker |
SPEAKER_17 |
transcript.pyannote[2691].start |
14048.40096875 |
transcript.pyannote[2691].end |
14049.09284375 |
transcript.pyannote[2692].speaker |
SPEAKER_17 |
transcript.pyannote[2692].start |
14049.54846875 |
transcript.pyannote[2692].end |
14050.84784375 |
transcript.pyannote[2693].speaker |
SPEAKER_17 |
transcript.pyannote[2693].start |
14051.33721875 |
transcript.pyannote[2693].end |
14053.81784375 |
transcript.pyannote[2694].speaker |
SPEAKER_17 |
transcript.pyannote[2694].start |
14054.12159375 |
transcript.pyannote[2694].end |
14054.81346875 |
transcript.pyannote[2695].speaker |
SPEAKER_17 |
transcript.pyannote[2695].start |
14055.23534375 |
transcript.pyannote[2695].end |
14055.97784375 |
transcript.pyannote[2696].speaker |
SPEAKER_17 |
transcript.pyannote[2696].start |
14056.39971875 |
transcript.pyannote[2696].end |
14057.36159375 |
transcript.pyannote[2697].speaker |
SPEAKER_17 |
transcript.pyannote[2697].start |
14057.68221875 |
transcript.pyannote[2697].end |
14058.47534375 |
transcript.pyannote[2698].speaker |
SPEAKER_17 |
transcript.pyannote[2698].start |
14059.03221875 |
transcript.pyannote[2698].end |
14060.02784375 |
transcript.pyannote[2699].speaker |
SPEAKER_17 |
transcript.pyannote[2699].start |
14060.48346875 |
transcript.pyannote[2699].end |
14060.75346875 |
transcript.pyannote[2700].speaker |
SPEAKER_17 |
transcript.pyannote[2700].start |
14061.29346875 |
transcript.pyannote[2700].end |
14063.18346875 |
transcript.pyannote[2701].speaker |
SPEAKER_17 |
transcript.pyannote[2701].start |
14064.36471875 |
transcript.pyannote[2701].end |
14066.30534375 |
transcript.pyannote[2702].speaker |
SPEAKER_17 |
transcript.pyannote[2702].start |
14066.98034375 |
transcript.pyannote[2702].end |
14068.63409375 |
transcript.pyannote[2703].speaker |
SPEAKER_17 |
transcript.pyannote[2703].start |
14069.17409375 |
transcript.pyannote[2703].end |
14070.59159375 |
transcript.pyannote[2704].speaker |
SPEAKER_17 |
transcript.pyannote[2704].start |
14070.89534375 |
transcript.pyannote[2704].end |
14074.20284375 |
transcript.pyannote[2705].speaker |
SPEAKER_17 |
transcript.pyannote[2705].start |
14075.09721875 |
transcript.pyannote[2705].end |
14076.32909375 |
transcript.pyannote[2706].speaker |
SPEAKER_15 |
transcript.pyannote[2706].start |
14078.43846875 |
transcript.pyannote[2706].end |
14086.25159375 |
transcript.pyannote[2707].speaker |
SPEAKER_15 |
transcript.pyannote[2707].start |
14086.48784375 |
transcript.pyannote[2707].end |
14088.04034375 |
transcript.pyannote[2708].speaker |
SPEAKER_17 |
transcript.pyannote[2708].start |
14088.14159375 |
transcript.pyannote[2708].end |
14092.78221875 |
transcript.pyannote[2709].speaker |
SPEAKER_15 |
transcript.pyannote[2709].start |
14088.42846875 |
transcript.pyannote[2709].end |
14089.55909375 |
transcript.pyannote[2710].speaker |
SPEAKER_17 |
transcript.pyannote[2710].start |
14093.74409375 |
transcript.pyannote[2710].end |
14100.35909375 |
transcript.pyannote[2711].speaker |
SPEAKER_17 |
transcript.pyannote[2711].start |
14100.47721875 |
transcript.pyannote[2711].end |
14102.48534375 |
transcript.pyannote[2712].speaker |
SPEAKER_17 |
transcript.pyannote[2712].start |
14104.03784375 |
transcript.pyannote[2712].end |
14105.91096875 |
transcript.pyannote[2713].speaker |
SPEAKER_17 |
transcript.pyannote[2713].start |
14106.11346875 |
transcript.pyannote[2713].end |
14112.57659375 |
transcript.pyannote[2714].speaker |
SPEAKER_17 |
transcript.pyannote[2714].start |
14112.86346875 |
transcript.pyannote[2714].end |
14118.92159375 |
transcript.pyannote[2715].speaker |
SPEAKER_17 |
transcript.pyannote[2715].start |
14119.44471875 |
transcript.pyannote[2715].end |
14121.41909375 |
transcript.pyannote[2716].speaker |
SPEAKER_17 |
transcript.pyannote[2716].start |
14122.63409375 |
transcript.pyannote[2716].end |
14127.78096875 |
transcript.pyannote[2717].speaker |
SPEAKER_17 |
transcript.pyannote[2717].start |
14128.64159375 |
transcript.pyannote[2717].end |
14129.97471875 |
transcript.pyannote[2718].speaker |
SPEAKER_17 |
transcript.pyannote[2718].start |
14130.34596875 |
transcript.pyannote[2718].end |
14132.06721875 |
transcript.pyannote[2719].speaker |
SPEAKER_17 |
transcript.pyannote[2719].start |
14132.64096875 |
transcript.pyannote[2719].end |
14137.55159375 |
transcript.pyannote[2720].speaker |
SPEAKER_17 |
transcript.pyannote[2720].start |
14137.92284375 |
transcript.pyannote[2720].end |
14145.93846875 |
transcript.pyannote[2721].speaker |
SPEAKER_17 |
transcript.pyannote[2721].start |
14146.29284375 |
transcript.pyannote[2721].end |
14149.51596875 |
transcript.pyannote[2722].speaker |
SPEAKER_17 |
transcript.pyannote[2722].start |
14149.53284375 |
transcript.pyannote[2722].end |
14153.39721875 |
transcript.pyannote[2723].speaker |
SPEAKER_17 |
transcript.pyannote[2723].start |
14153.63346875 |
transcript.pyannote[2723].end |
14154.67971875 |
transcript.pyannote[2724].speaker |
SPEAKER_17 |
transcript.pyannote[2724].start |
14155.10159375 |
transcript.pyannote[2724].end |
14158.29096875 |
transcript.pyannote[2725].speaker |
SPEAKER_17 |
transcript.pyannote[2725].start |
14158.84784375 |
transcript.pyannote[2725].end |
14162.50971875 |
transcript.pyannote[2726].speaker |
SPEAKER_17 |
transcript.pyannote[2726].start |
14163.35346875 |
transcript.pyannote[2726].end |
14165.15909375 |
transcript.pyannote[2727].speaker |
SPEAKER_17 |
transcript.pyannote[2727].start |
14166.15471875 |
transcript.pyannote[2727].end |
14172.98909375 |
transcript.pyannote[2728].speaker |
SPEAKER_17 |
transcript.pyannote[2728].start |
14173.30971875 |
transcript.pyannote[2728].end |
14174.15346875 |
transcript.pyannote[2729].speaker |
SPEAKER_17 |
transcript.pyannote[2729].start |
14174.86221875 |
transcript.pyannote[2729].end |
14176.46534375 |
transcript.pyannote[2730].speaker |
SPEAKER_17 |
transcript.pyannote[2730].start |
14176.97159375 |
transcript.pyannote[2730].end |
14178.42284375 |
transcript.pyannote[2731].speaker |
SPEAKER_17 |
transcript.pyannote[2731].start |
14179.03034375 |
transcript.pyannote[2731].end |
14181.37596875 |
transcript.pyannote[2732].speaker |
SPEAKER_17 |
transcript.pyannote[2732].start |
14181.73034375 |
transcript.pyannote[2732].end |
14182.89471875 |
transcript.pyannote[2733].speaker |
SPEAKER_17 |
transcript.pyannote[2733].start |
14183.56971875 |
transcript.pyannote[2733].end |
14185.96596875 |
transcript.pyannote[2734].speaker |
SPEAKER_17 |
transcript.pyannote[2734].start |
14186.91096875 |
transcript.pyannote[2734].end |
14187.72096875 |
transcript.pyannote[2735].speaker |
SPEAKER_17 |
transcript.pyannote[2735].start |
14187.97409375 |
transcript.pyannote[2735].end |
14189.86409375 |
transcript.pyannote[2736].speaker |
SPEAKER_17 |
transcript.pyannote[2736].start |
14190.10034375 |
transcript.pyannote[2736].end |
14191.29846875 |
transcript.pyannote[2737].speaker |
SPEAKER_17 |
transcript.pyannote[2737].start |
14191.75409375 |
transcript.pyannote[2737].end |
14192.88471875 |
transcript.pyannote[2738].speaker |
SPEAKER_17 |
transcript.pyannote[2738].start |
14193.89721875 |
transcript.pyannote[2738].end |
14195.44971875 |
transcript.pyannote[2739].speaker |
SPEAKER_17 |
transcript.pyannote[2739].start |
14195.88846875 |
transcript.pyannote[2739].end |
14196.36096875 |
transcript.pyannote[2740].speaker |
SPEAKER_17 |
transcript.pyannote[2740].start |
14196.73221875 |
transcript.pyannote[2740].end |
14199.12846875 |
transcript.pyannote[2741].speaker |
SPEAKER_17 |
transcript.pyannote[2741].start |
14199.60096875 |
transcript.pyannote[2741].end |
14199.98909375 |
transcript.pyannote[2742].speaker |
SPEAKER_17 |
transcript.pyannote[2742].start |
14200.22534375 |
transcript.pyannote[2742].end |
14203.27971875 |
transcript.pyannote[2743].speaker |
SPEAKER_17 |
transcript.pyannote[2743].start |
14203.51596875 |
transcript.pyannote[2743].end |
14207.63346875 |
transcript.pyannote[2744].speaker |
SPEAKER_17 |
transcript.pyannote[2744].start |
14207.83596875 |
transcript.pyannote[2744].end |
14209.16909375 |
transcript.pyannote[2745].speaker |
SPEAKER_17 |
transcript.pyannote[2745].start |
14209.60784375 |
transcript.pyannote[2745].end |
14211.41346875 |
transcript.pyannote[2746].speaker |
SPEAKER_08 |
transcript.pyannote[2746].start |
14215.15971875 |
transcript.pyannote[2746].end |
14226.87096875 |
transcript.pyannote[2747].speaker |
SPEAKER_26 |
transcript.pyannote[2747].start |
14239.76346875 |
transcript.pyannote[2747].end |
14242.05846875 |
transcript.pyannote[2748].speaker |
SPEAKER_10 |
transcript.pyannote[2748].start |
14242.59846875 |
transcript.pyannote[2748].end |
14242.71659375 |
transcript.pyannote[2749].speaker |
SPEAKER_26 |
transcript.pyannote[2749].start |
14242.71659375 |
transcript.pyannote[2749].end |
14243.07096875 |
transcript.pyannote[2750].speaker |
SPEAKER_15 |
transcript.pyannote[2750].start |
14250.22596875 |
transcript.pyannote[2750].end |
14250.24284375 |
transcript.pyannote[2751].speaker |
SPEAKER_26 |
transcript.pyannote[2751].start |
14250.24284375 |
transcript.pyannote[2751].end |
14250.64784375 |
transcript.pyannote[2752].speaker |
SPEAKER_15 |
transcript.pyannote[2752].start |
14250.64784375 |
transcript.pyannote[2752].end |
14250.71534375 |
transcript.pyannote[2753].speaker |
SPEAKER_26 |
transcript.pyannote[2753].start |
14250.71534375 |
transcript.pyannote[2753].end |
14250.86721875 |
transcript.pyannote[2754].speaker |
SPEAKER_15 |
transcript.pyannote[2754].start |
14250.86721875 |
transcript.pyannote[2754].end |
14250.88409375 |
transcript.pyannote[2755].speaker |
SPEAKER_26 |
transcript.pyannote[2755].start |
14251.87971875 |
transcript.pyannote[2755].end |
14252.41971875 |
transcript.pyannote[2756].speaker |
SPEAKER_26 |
transcript.pyannote[2756].start |
14253.12846875 |
transcript.pyannote[2756].end |
14253.68534375 |
transcript.pyannote[2757].speaker |
SPEAKER_26 |
transcript.pyannote[2757].start |
14254.25909375 |
transcript.pyannote[2757].end |
14256.33471875 |
transcript.pyannote[2758].speaker |
SPEAKER_26 |
transcript.pyannote[2758].start |
14256.95909375 |
transcript.pyannote[2758].end |
14259.37221875 |
transcript.pyannote[2759].speaker |
SPEAKER_26 |
transcript.pyannote[2759].start |
14259.77721875 |
transcript.pyannote[2759].end |
14262.54471875 |
transcript.pyannote[2760].speaker |
SPEAKER_26 |
transcript.pyannote[2760].start |
14263.10159375 |
transcript.pyannote[2760].end |
14264.21534375 |
transcript.pyannote[2761].speaker |
SPEAKER_26 |
transcript.pyannote[2761].start |
14264.38409375 |
transcript.pyannote[2761].end |
14266.79721875 |
transcript.pyannote[2762].speaker |
SPEAKER_26 |
transcript.pyannote[2762].start |
14267.57346875 |
transcript.pyannote[2762].end |
14271.37034375 |
transcript.pyannote[2763].speaker |
SPEAKER_26 |
transcript.pyannote[2763].start |
14271.65721875 |
transcript.pyannote[2763].end |
14276.28096875 |
transcript.pyannote[2764].speaker |
SPEAKER_26 |
transcript.pyannote[2764].start |
14276.80409375 |
transcript.pyannote[2764].end |
14281.46159375 |
transcript.pyannote[2765].speaker |
SPEAKER_26 |
transcript.pyannote[2765].start |
14281.69784375 |
transcript.pyannote[2765].end |
14283.21659375 |
transcript.pyannote[2766].speaker |
SPEAKER_26 |
transcript.pyannote[2766].start |
14283.72284375 |
transcript.pyannote[2766].end |
14284.26284375 |
transcript.pyannote[2767].speaker |
SPEAKER_26 |
transcript.pyannote[2767].start |
14284.85346875 |
transcript.pyannote[2767].end |
14288.00909375 |
transcript.pyannote[2768].speaker |
SPEAKER_26 |
transcript.pyannote[2768].start |
14288.09346875 |
transcript.pyannote[2768].end |
14292.22784375 |
transcript.pyannote[2769].speaker |
SPEAKER_15 |
transcript.pyannote[2769].start |
14293.18971875 |
transcript.pyannote[2769].end |
14299.28159375 |
transcript.pyannote[2770].speaker |
SPEAKER_15 |
transcript.pyannote[2770].start |
14299.38284375 |
transcript.pyannote[2770].end |
14305.79534375 |
transcript.pyannote[2771].speaker |
SPEAKER_26 |
transcript.pyannote[2771].start |
14305.79534375 |
transcript.pyannote[2771].end |
14305.81221875 |
transcript.pyannote[2772].speaker |
SPEAKER_15 |
transcript.pyannote[2772].start |
14306.25096875 |
transcript.pyannote[2772].end |
14306.28471875 |
transcript.pyannote[2773].speaker |
SPEAKER_26 |
transcript.pyannote[2773].start |
14306.28471875 |
transcript.pyannote[2773].end |
14306.33534375 |
transcript.pyannote[2774].speaker |
SPEAKER_15 |
transcript.pyannote[2774].start |
14306.33534375 |
transcript.pyannote[2774].end |
14307.02721875 |
transcript.pyannote[2775].speaker |
SPEAKER_26 |
transcript.pyannote[2775].start |
14307.02721875 |
transcript.pyannote[2775].end |
14307.56721875 |
transcript.pyannote[2776].speaker |
SPEAKER_15 |
transcript.pyannote[2776].start |
14307.83721875 |
transcript.pyannote[2776].end |
14307.88784375 |
transcript.pyannote[2777].speaker |
SPEAKER_26 |
transcript.pyannote[2777].start |
14307.88784375 |
transcript.pyannote[2777].end |
14308.24221875 |
transcript.pyannote[2778].speaker |
SPEAKER_26 |
transcript.pyannote[2778].start |
14308.68096875 |
transcript.pyannote[2778].end |
14319.27846875 |
transcript.pyannote[2779].speaker |
SPEAKER_26 |
transcript.pyannote[2779].start |
14319.83534375 |
transcript.pyannote[2779].end |
14321.92784375 |
transcript.pyannote[2780].speaker |
SPEAKER_26 |
transcript.pyannote[2780].start |
14322.02909375 |
transcript.pyannote[2780].end |
14330.12909375 |
transcript.pyannote[2781].speaker |
SPEAKER_26 |
transcript.pyannote[2781].start |
14330.46659375 |
transcript.pyannote[2781].end |
14336.50784375 |
transcript.pyannote[2782].speaker |
SPEAKER_26 |
transcript.pyannote[2782].start |
14336.64284375 |
transcript.pyannote[2782].end |
14336.65971875 |
transcript.pyannote[2783].speaker |
SPEAKER_15 |
transcript.pyannote[2783].start |
14336.65971875 |
transcript.pyannote[2783].end |
14350.46346875 |
transcript.pyannote[2784].speaker |
SPEAKER_26 |
transcript.pyannote[2784].start |
14338.88721875 |
transcript.pyannote[2784].end |
14339.52846875 |
transcript.pyannote[2785].speaker |
SPEAKER_26 |
transcript.pyannote[2785].start |
14343.49409375 |
transcript.pyannote[2785].end |
14344.47284375 |
transcript.pyannote[2786].speaker |
SPEAKER_27 |
transcript.pyannote[2786].start |
14344.81034375 |
transcript.pyannote[2786].end |
14344.82721875 |
transcript.pyannote[2787].speaker |
SPEAKER_26 |
transcript.pyannote[2787].start |
14344.82721875 |
transcript.pyannote[2787].end |
14345.06346875 |
transcript.pyannote[2788].speaker |
SPEAKER_27 |
transcript.pyannote[2788].start |
14345.06346875 |
transcript.pyannote[2788].end |
14345.08034375 |
transcript.pyannote[2789].speaker |
SPEAKER_26 |
transcript.pyannote[2789].start |
14350.46346875 |
transcript.pyannote[2789].end |
14361.36471875 |
transcript.pyannote[2790].speaker |
SPEAKER_15 |
transcript.pyannote[2790].start |
14350.73346875 |
transcript.pyannote[2790].end |
14351.40846875 |
transcript.pyannote[2791].speaker |
SPEAKER_15 |
transcript.pyannote[2791].start |
14359.20471875 |
transcript.pyannote[2791].end |
14359.54221875 |
transcript.pyannote[2792].speaker |
SPEAKER_15 |
transcript.pyannote[2792].start |
14361.36471875 |
transcript.pyannote[2792].end |
14361.90471875 |
transcript.pyannote[2793].speaker |
SPEAKER_26 |
transcript.pyannote[2793].start |
14361.90471875 |
transcript.pyannote[2793].end |
14361.92159375 |
transcript.pyannote[2794].speaker |
SPEAKER_26 |
transcript.pyannote[2794].start |
14362.27596875 |
transcript.pyannote[2794].end |
14376.04596875 |
transcript.pyannote[2795].speaker |
SPEAKER_25 |
transcript.pyannote[2795].start |
14376.46784375 |
transcript.pyannote[2795].end |
14377.39596875 |
transcript.pyannote[2796].speaker |
SPEAKER_26 |
transcript.pyannote[2796].start |
14376.78846875 |
transcript.pyannote[2796].end |
14382.07034375 |
transcript.pyannote[2797].speaker |
SPEAKER_26 |
transcript.pyannote[2797].start |
14382.69471875 |
transcript.pyannote[2797].end |
14386.82909375 |
transcript.pyannote[2798].speaker |
SPEAKER_26 |
transcript.pyannote[2798].start |
14387.36909375 |
transcript.pyannote[2798].end |
14390.91284375 |
transcript.pyannote[2799].speaker |
SPEAKER_15 |
transcript.pyannote[2799].start |
14391.11534375 |
transcript.pyannote[2799].end |
14391.87471875 |
transcript.pyannote[2800].speaker |
SPEAKER_15 |
transcript.pyannote[2800].start |
14392.22909375 |
transcript.pyannote[2800].end |
14392.61721875 |
transcript.pyannote[2801].speaker |
SPEAKER_26 |
transcript.pyannote[2801].start |
14392.61721875 |
transcript.pyannote[2801].end |
14392.63409375 |
transcript.pyannote[2802].speaker |
SPEAKER_15 |
transcript.pyannote[2802].start |
14392.63409375 |
transcript.pyannote[2802].end |
14392.65096875 |
transcript.pyannote[2803].speaker |
SPEAKER_26 |
transcript.pyannote[2803].start |
14392.65096875 |
transcript.pyannote[2803].end |
14392.70159375 |
transcript.pyannote[2804].speaker |
SPEAKER_15 |
transcript.pyannote[2804].start |
14392.70159375 |
transcript.pyannote[2804].end |
14392.78596875 |
transcript.pyannote[2805].speaker |
SPEAKER_26 |
transcript.pyannote[2805].start |
14392.78596875 |
transcript.pyannote[2805].end |
14392.80284375 |
transcript.pyannote[2806].speaker |
SPEAKER_15 |
transcript.pyannote[2806].start |
14392.80284375 |
transcript.pyannote[2806].end |
14392.81971875 |
transcript.pyannote[2807].speaker |
SPEAKER_26 |
transcript.pyannote[2807].start |
14392.81971875 |
transcript.pyannote[2807].end |
14392.95471875 |
transcript.pyannote[2808].speaker |
SPEAKER_15 |
transcript.pyannote[2808].start |
14392.95471875 |
transcript.pyannote[2808].end |
14396.86971875 |
transcript.pyannote[2809].speaker |
SPEAKER_26 |
transcript.pyannote[2809].start |
14394.15284375 |
transcript.pyannote[2809].end |
14394.60846875 |
transcript.pyannote[2810].speaker |
SPEAKER_26 |
transcript.pyannote[2810].start |
14395.01346875 |
transcript.pyannote[2810].end |
14397.67971875 |
transcript.pyannote[2811].speaker |
SPEAKER_15 |
transcript.pyannote[2811].start |
14397.67971875 |
transcript.pyannote[2811].end |
14397.81471875 |
transcript.pyannote[2812].speaker |
SPEAKER_26 |
transcript.pyannote[2812].start |
14397.81471875 |
transcript.pyannote[2812].end |
14417.47409375 |
transcript.pyannote[2813].speaker |
SPEAKER_15 |
transcript.pyannote[2813].start |
14397.91596875 |
transcript.pyannote[2813].end |
14399.58659375 |
transcript.pyannote[2814].speaker |
SPEAKER_15 |
transcript.pyannote[2814].start |
14401.47659375 |
transcript.pyannote[2814].end |
14401.57784375 |
transcript.pyannote[2815].speaker |
SPEAKER_26 |
transcript.pyannote[2815].start |
14418.38534375 |
transcript.pyannote[2815].end |
14421.60846875 |
transcript.pyannote[2816].speaker |
SPEAKER_15 |
transcript.pyannote[2816].start |
14423.14409375 |
transcript.pyannote[2816].end |
14425.92846875 |
transcript.pyannote[2817].speaker |
SPEAKER_15 |
transcript.pyannote[2817].start |
14426.46846875 |
transcript.pyannote[2817].end |
14427.49784375 |
transcript.pyannote[2818].speaker |
SPEAKER_26 |
transcript.pyannote[2818].start |
14426.70471875 |
transcript.pyannote[2818].end |
14427.54846875 |
transcript.pyannote[2819].speaker |
SPEAKER_15 |
transcript.pyannote[2819].start |
14427.54846875 |
transcript.pyannote[2819].end |
14428.34159375 |
transcript.pyannote[2820].speaker |
SPEAKER_26 |
transcript.pyannote[2820].start |
14428.34159375 |
transcript.pyannote[2820].end |
14429.57346875 |
transcript.pyannote[2821].speaker |
SPEAKER_26 |
transcript.pyannote[2821].start |
14429.82659375 |
transcript.pyannote[2821].end |
14430.90659375 |
transcript.pyannote[2822].speaker |
SPEAKER_26 |
transcript.pyannote[2822].start |
14431.36221875 |
transcript.pyannote[2822].end |
14436.96471875 |
transcript.pyannote[2823].speaker |
SPEAKER_15 |
transcript.pyannote[2823].start |
14435.69909375 |
transcript.pyannote[2823].end |
14440.17096875 |
transcript.pyannote[2824].speaker |
SPEAKER_26 |
transcript.pyannote[2824].start |
14438.23034375 |
transcript.pyannote[2824].end |
14441.87534375 |
transcript.pyannote[2825].speaker |
SPEAKER_15 |
transcript.pyannote[2825].start |
14441.31846875 |
transcript.pyannote[2825].end |
14444.06909375 |
transcript.pyannote[2826].speaker |
SPEAKER_26 |
transcript.pyannote[2826].start |
14444.06909375 |
transcript.pyannote[2826].end |
14444.22096875 |
transcript.pyannote[2827].speaker |
SPEAKER_15 |
transcript.pyannote[2827].start |
14444.22096875 |
transcript.pyannote[2827].end |
14444.89596875 |
transcript.pyannote[2828].speaker |
SPEAKER_26 |
transcript.pyannote[2828].start |
14444.30534375 |
transcript.pyannote[2828].end |
14446.87034375 |
transcript.pyannote[2829].speaker |
SPEAKER_26 |
transcript.pyannote[2829].start |
14446.93784375 |
transcript.pyannote[2829].end |
14456.74221875 |
transcript.pyannote[2830].speaker |
SPEAKER_20 |
transcript.pyannote[2830].start |
14456.99534375 |
transcript.pyannote[2830].end |
14457.16409375 |
transcript.pyannote[2831].speaker |
SPEAKER_26 |
transcript.pyannote[2831].start |
14457.16409375 |
transcript.pyannote[2831].end |
14460.96096875 |
transcript.pyannote[2832].speaker |
SPEAKER_26 |
transcript.pyannote[2832].start |
14461.38284375 |
transcript.pyannote[2832].end |
14478.08909375 |
transcript.pyannote[2833].speaker |
SPEAKER_26 |
transcript.pyannote[2833].start |
14478.71346875 |
transcript.pyannote[2833].end |
14479.28721875 |
transcript.pyannote[2834].speaker |
SPEAKER_15 |
transcript.pyannote[2834].start |
14479.65846875 |
transcript.pyannote[2834].end |
14480.01284375 |
transcript.pyannote[2835].speaker |
SPEAKER_26 |
transcript.pyannote[2835].start |
14480.36721875 |
transcript.pyannote[2835].end |
14487.62346875 |
transcript.pyannote[2836].speaker |
SPEAKER_26 |
transcript.pyannote[2836].start |
14489.27721875 |
transcript.pyannote[2836].end |
14489.90159375 |
transcript.pyannote[2837].speaker |
SPEAKER_26 |
transcript.pyannote[2837].start |
14490.32346875 |
transcript.pyannote[2837].end |
14511.95721875 |
transcript.pyannote[2838].speaker |
SPEAKER_19 |
transcript.pyannote[2838].start |
14490.67784375 |
transcript.pyannote[2838].end |
14490.96471875 |
transcript.pyannote[2839].speaker |
SPEAKER_26 |
transcript.pyannote[2839].start |
14513.23971875 |
transcript.pyannote[2839].end |
14520.04034375 |
transcript.pyannote[2840].speaker |
SPEAKER_26 |
transcript.pyannote[2840].start |
14520.37784375 |
transcript.pyannote[2840].end |
14521.37346875 |
transcript.pyannote[2841].speaker |
SPEAKER_26 |
transcript.pyannote[2841].start |
14521.82909375 |
transcript.pyannote[2841].end |
14524.32659375 |
transcript.pyannote[2842].speaker |
SPEAKER_26 |
transcript.pyannote[2842].start |
14524.41096875 |
transcript.pyannote[2842].end |
14530.80659375 |
transcript.pyannote[2843].speaker |
SPEAKER_26 |
transcript.pyannote[2843].start |
14531.88659375 |
transcript.pyannote[2843].end |
14536.59471875 |
transcript.pyannote[2844].speaker |
SPEAKER_26 |
transcript.pyannote[2844].start |
14537.32034375 |
transcript.pyannote[2844].end |
14543.78346875 |
transcript.pyannote[2845].speaker |
SPEAKER_26 |
transcript.pyannote[2845].start |
14544.01971875 |
transcript.pyannote[2845].end |
14561.55284375 |
transcript.pyannote[2846].speaker |
SPEAKER_26 |
transcript.pyannote[2846].start |
14561.85659375 |
transcript.pyannote[2846].end |
14562.05909375 |
transcript.pyannote[2847].speaker |
SPEAKER_15 |
transcript.pyannote[2847].start |
14562.05909375 |
transcript.pyannote[2847].end |
14562.09284375 |
transcript.pyannote[2848].speaker |
SPEAKER_26 |
transcript.pyannote[2848].start |
14562.09284375 |
transcript.pyannote[2848].end |
14562.10971875 |
transcript.pyannote[2849].speaker |
SPEAKER_15 |
transcript.pyannote[2849].start |
14562.68346875 |
transcript.pyannote[2849].end |
14562.70034375 |
transcript.pyannote[2850].speaker |
SPEAKER_26 |
transcript.pyannote[2850].start |
14562.70034375 |
transcript.pyannote[2850].end |
14562.91971875 |
transcript.pyannote[2851].speaker |
SPEAKER_15 |
transcript.pyannote[2851].start |
14562.91971875 |
transcript.pyannote[2851].end |
14563.45971875 |
transcript.pyannote[2852].speaker |
SPEAKER_26 |
transcript.pyannote[2852].start |
14563.45971875 |
transcript.pyannote[2852].end |
14566.90221875 |
transcript.pyannote[2853].speaker |
SPEAKER_26 |
transcript.pyannote[2853].start |
14567.17221875 |
transcript.pyannote[2853].end |
14578.27596875 |
transcript.pyannote[2854].speaker |
SPEAKER_26 |
transcript.pyannote[2854].start |
14578.46159375 |
transcript.pyannote[2854].end |
14580.21659375 |
transcript.pyannote[2855].speaker |
SPEAKER_26 |
transcript.pyannote[2855].start |
14581.17846875 |
transcript.pyannote[2855].end |
14582.22471875 |
transcript.pyannote[2856].speaker |
SPEAKER_26 |
transcript.pyannote[2856].start |
14583.38909375 |
transcript.pyannote[2856].end |
14584.09784375 |
transcript.pyannote[2857].speaker |
SPEAKER_26 |
transcript.pyannote[2857].start |
14585.58284375 |
transcript.pyannote[2857].end |
14588.18159375 |
transcript.pyannote[2858].speaker |
SPEAKER_26 |
transcript.pyannote[2858].start |
14588.43471875 |
transcript.pyannote[2858].end |
14590.08846875 |
transcript.pyannote[2859].speaker |
SPEAKER_26 |
transcript.pyannote[2859].start |
14590.78034375 |
transcript.pyannote[2859].end |
14591.28659375 |
transcript.pyannote[2860].speaker |
SPEAKER_26 |
transcript.pyannote[2860].start |
14591.82659375 |
transcript.pyannote[2860].end |
14599.01534375 |
transcript.pyannote[2861].speaker |
SPEAKER_26 |
transcript.pyannote[2861].start |
14599.96034375 |
transcript.pyannote[2861].end |
14608.07721875 |
transcript.pyannote[2862].speaker |
SPEAKER_26 |
transcript.pyannote[2862].start |
14608.12784375 |
transcript.pyannote[2862].end |
14610.79409375 |
transcript.pyannote[2863].speaker |
SPEAKER_26 |
transcript.pyannote[2863].start |
14611.33409375 |
transcript.pyannote[2863].end |
14615.13096875 |
transcript.pyannote[2864].speaker |
SPEAKER_26 |
transcript.pyannote[2864].start |
14616.32909375 |
transcript.pyannote[2864].end |
14618.15159375 |
transcript.pyannote[2865].speaker |
SPEAKER_26 |
transcript.pyannote[2865].start |
14618.47221875 |
transcript.pyannote[2865].end |
14622.74159375 |
transcript.pyannote[2866].speaker |
SPEAKER_26 |
transcript.pyannote[2866].start |
14623.19721875 |
transcript.pyannote[2866].end |
14627.06159375 |
transcript.pyannote[2867].speaker |
SPEAKER_26 |
transcript.pyannote[2867].start |
14628.00659375 |
transcript.pyannote[2867].end |
14629.18784375 |
transcript.pyannote[2868].speaker |
SPEAKER_26 |
transcript.pyannote[2868].start |
14629.79534375 |
transcript.pyannote[2868].end |
14630.74034375 |
transcript.pyannote[2869].speaker |
SPEAKER_26 |
transcript.pyannote[2869].start |
14630.79096875 |
transcript.pyannote[2869].end |
14636.81534375 |
transcript.pyannote[2870].speaker |
SPEAKER_26 |
transcript.pyannote[2870].start |
14637.52409375 |
transcript.pyannote[2870].end |
14656.10346875 |
transcript.pyannote[2871].speaker |
SPEAKER_26 |
transcript.pyannote[2871].start |
14657.31846875 |
transcript.pyannote[2871].end |
14662.43159375 |
transcript.pyannote[2872].speaker |
SPEAKER_26 |
transcript.pyannote[2872].start |
14662.83659375 |
transcript.pyannote[2872].end |
14677.26471875 |
transcript.pyannote[2873].speaker |
SPEAKER_26 |
transcript.pyannote[2873].start |
14677.65284375 |
transcript.pyannote[2873].end |
14680.42034375 |
transcript.pyannote[2874].speaker |
SPEAKER_26 |
transcript.pyannote[2874].start |
14680.96034375 |
transcript.pyannote[2874].end |
14683.74471875 |
transcript.pyannote[2875].speaker |
SPEAKER_26 |
transcript.pyannote[2875].start |
14684.60534375 |
transcript.pyannote[2875].end |
14686.81596875 |
transcript.pyannote[2876].speaker |
SPEAKER_26 |
transcript.pyannote[2876].start |
14687.11971875 |
transcript.pyannote[2876].end |
14688.13221875 |
transcript.pyannote[2877].speaker |
SPEAKER_26 |
transcript.pyannote[2877].start |
14689.12784375 |
transcript.pyannote[2877].end |
14692.24971875 |
transcript.pyannote[2878].speaker |
SPEAKER_26 |
transcript.pyannote[2878].start |
14693.19471875 |
transcript.pyannote[2878].end |
14694.39284375 |
transcript.pyannote[2879].speaker |
SPEAKER_26 |
transcript.pyannote[2879].start |
14694.64596875 |
transcript.pyannote[2879].end |
14698.02096875 |
transcript.pyannote[2880].speaker |
SPEAKER_15 |
transcript.pyannote[2880].start |
14698.02096875 |
transcript.pyannote[2880].end |
14706.20534375 |
transcript.pyannote[2881].speaker |
SPEAKER_26 |
transcript.pyannote[2881].start |
14706.20534375 |
transcript.pyannote[2881].end |
14706.47534375 |
transcript.pyannote[2882].speaker |
SPEAKER_15 |
transcript.pyannote[2882].start |
14706.47534375 |
transcript.pyannote[2882].end |
14706.50909375 |
transcript.pyannote[2883].speaker |
SPEAKER_26 |
transcript.pyannote[2883].start |
14706.50909375 |
transcript.pyannote[2883].end |
14708.78721875 |
transcript.pyannote[2884].speaker |
SPEAKER_26 |
transcript.pyannote[2884].start |
14709.00659375 |
transcript.pyannote[2884].end |
14709.58034375 |
transcript.pyannote[2885].speaker |
SPEAKER_26 |
transcript.pyannote[2885].start |
14710.17096875 |
transcript.pyannote[2885].end |
14710.71096875 |
transcript.pyannote[2886].speaker |
SPEAKER_03 |
transcript.pyannote[2886].start |
14712.46596875 |
transcript.pyannote[2886].end |
14713.24221875 |
transcript.pyannote[2887].speaker |
SPEAKER_03 |
transcript.pyannote[2887].start |
14716.43159375 |
transcript.pyannote[2887].end |
14716.92096875 |
transcript.pyannote[2888].speaker |
SPEAKER_03 |
transcript.pyannote[2888].start |
14717.30909375 |
transcript.pyannote[2888].end |
14755.75034375 |
transcript.pyannote[2889].speaker |
SPEAKER_03 |
transcript.pyannote[2889].start |
14755.83471875 |
transcript.pyannote[2889].end |
14759.68221875 |
transcript.pyannote[2890].speaker |
SPEAKER_03 |
transcript.pyannote[2890].start |
14759.95221875 |
transcript.pyannote[2890].end |
14761.31909375 |
transcript.pyannote[2891].speaker |
SPEAKER_03 |
transcript.pyannote[2891].start |
14762.66909375 |
transcript.pyannote[2891].end |
14767.52909375 |
transcript.pyannote[2892].speaker |
SPEAKER_03 |
transcript.pyannote[2892].start |
14767.74846875 |
transcript.pyannote[2892].end |
14767.78221875 |
transcript.pyannote[2893].speaker |
SPEAKER_20 |
transcript.pyannote[2893].start |
14769.26721875 |
transcript.pyannote[2893].end |
14769.80721875 |
transcript.pyannote[2894].speaker |
SPEAKER_17 |
transcript.pyannote[2894].start |
14783.67846875 |
transcript.pyannote[2894].end |
14784.70784375 |
transcript.pyannote[2895].speaker |
SPEAKER_08 |
transcript.pyannote[2895].start |
14814.76221875 |
transcript.pyannote[2895].end |
14815.08284375 |
transcript.pyannote[2896].speaker |
SPEAKER_20 |
transcript.pyannote[2896].start |
14844.86721875 |
transcript.pyannote[2896].end |
14845.40721875 |
transcript.pyannote[2897].speaker |
SPEAKER_20 |
transcript.pyannote[2897].start |
14880.22034375 |
transcript.pyannote[2897].end |
14880.45659375 |
transcript.whisperx[0].start |
547.227 |
transcript.whisperx[0].end |
547.978 |
transcript.whisperx[0].text |
MING PAO CANADA MANGA |
transcript.whisperx[1].start |
593.893 |
transcript.whisperx[1].end |
594.714 |
transcript.whisperx[1].text |
委員會主席 |
transcript.whisperx[2].start |
725.555 |
transcript.whisperx[2].end |
727.244 |
transcript.whisperx[2].text |
響鐘 |
transcript.whisperx[3].start |
775.482 |
transcript.whisperx[3].end |
776.354 |
transcript.whisperx[3].text |
主席 |
transcript.whisperx[4].start |
1112.671 |
transcript.whisperx[4].end |
1113.08 |
transcript.whisperx[4].text |
MING PAO CANADA MANGA |
transcript.whisperx[5].start |
1193.439 |
transcript.whisperx[5].end |
1193.559 |
transcript.whisperx[5].text |
委員會委員會委員會委員會委員會委員會 |
transcript.whisperx[6].start |
1364.919 |
transcript.whisperx[6].end |
1365.978 |
transcript.whisperx[6].text |
委員會主席 |
transcript.whisperx[7].start |
1439.36 |
transcript.whisperx[7].end |
1443.404 |
transcript.whisperx[7].text |
響鐘 |
transcript.whisperx[8].start |
1581.447 |
transcript.whisperx[8].end |
1598.895 |
transcript.whisperx[8].text |
委員會主任委員會主任委員會主任 |
transcript.whisperx[9].start |
1771.9 |
transcript.whisperx[9].end |
1773.965 |
transcript.whisperx[9].text |
主席 |
transcript.whisperx[10].start |
1807.54 |
transcript.whisperx[10].end |
1830.897 |
transcript.whisperx[10].text |
好,我們現在開會進行報告事項請宣讀邀請國家發展委員會主任委員列席報告業務概況.並備質詢宣讀完畢好,我們本日議程排定的是國家發展委員會的業務報告我們現在就請國家發展委員會劉靜卿主委來做報告我們在此也恭喜主委 |
transcript.whisperx[11].start |
1842.739 |
transcript.whisperx[11].end |
1862.725 |
transcript.whisperx[11].text |
主席、各位委員大家好謝謝各位給我們機會來報告我們國安會的業務發展以及我們打算怎麼去進行未來的四年的執政首先報告的是總體經濟情勢目前我們看下來今年經濟的成長會在3.5%以上會優於去年的1.31% |
transcript.whisperx[12].start |
1867.967 |
transcript.whisperx[12].end |
1890.857 |
transcript.whisperx[12].text |
那整個我們中環情勢裡面看到一些機會也看到一些要密切注意的風險那我們會密切觀察跟及時因應那整個經濟的形成3.5怎麼保障一定做得到跟未來怎麼樣更好來自於幾個部位那政府的投資的部分已經定型了 |
transcript.whisperx[13].start |
1891.677 |
transcript.whisperx[13].end |
1909.448 |
transcript.whisperx[13].text |
那有三個地方會影響我們下半年的經濟發展第一個是出口第二個是資本的形成第三個是民間消費那出口的部分呢因為AI正在大幅的崛起從1到4月的外銷情形來看整體的出口會變得非常的好那我們也預估在採購經理人指數 |
transcript.whisperx[14].start |
1911.169 |
transcript.whisperx[14].end |
1940.033 |
transcript.whisperx[14].text |
也會從4949%突破到NT50%進入擴張期所以下半年的整體會是不錯但是有幾個我們必須注意到的比如說匯率對我們很多傳統產業的影響這些我們都會再密切注意資本的形成的部分在AI半導體的投資會繼續加強第二個在數位跟淨零的部分的投資也會增加這個部分也會有機會往上走再來是我們現在看到的是零售餐飲的 |
transcript.whisperx[15].start |
1941.253 |
transcript.whisperx[15].end |
1967.939 |
transcript.whisperx[15].text |
整個民營消費的數字也是非常的還不錯那股市的活絡也造成這個財務效應那我們當然會密切觀察電價上漲會不會有影響我們現在進行每個月的CPI的監測那這樣的一個結果其實在過去10年來講3.5以上各位可以看到這上面的數字只有在14年跟21年有高過3.5所以相較過去來講今年算是一個比較好的一年 |
transcript.whisperx[16].start |
1968.439 |
transcript.whisperx[16].end |
1987.619 |
transcript.whisperx[16].text |
議員議員 |
transcript.whisperx[17].start |
1988.263 |
transcript.whisperx[17].end |
2007.771 |
transcript.whisperx[17].text |
我們從整個達到國家希望工程、民主和平、創新繁榮與公益永續我們希望在三個月內做好我們的國家發展計畫未來四年的發展將會由創新經濟、均衡台灣、效能政府為基礎的主軸發展 |
transcript.whisperx[18].start |
2009.171 |
transcript.whisperx[18].end |
2027.226 |
transcript.whisperx[18].text |
提宗我們會大量的用數位化跟效率革新的改善來往這條路上邁進那細節的部分在下一頁我會開始進行說明創新經濟那國家發展計畫是我們最重要的發展那這個發展計畫將會有五個重點形成我們的策略 |
transcript.whisperx[19].start |
2028.567 |
transcript.whisperx[19].end |
2052.003 |
transcript.whisperx[19].text |
從總統的政見到我們總理經濟的目標就是我們會制定每一年的成長率跟人均GDP、失業率等等的經濟指標同時我們會持續觀測瞭解國際發展趨勢跟競爭的趨勢然後再加上國內的輿情像譬如說我們看到財富的平均或者是居住 |
transcript.whisperx[20].start |
2052.643 |
transcript.whisperx[20].end |
2075.283 |
transcript.whisperx[20].text |
的問題那這些我們會整個參雜進來再加上各部會的想法跟意見形成國家策略然後呢依據策略展開我們的國家計畫好那大概是8月份我們會完成那另外一個部分呢就會進入到這個經濟的發展創新經濟怎麼做我們會打造信賴無產業成立台灣他太靠 |
transcript.whisperx[21].start |
2075.883 |
transcript.whisperx[21].end |
2076.363 |
transcript.whisperx[21].text |
發言委員會 |
transcript.whisperx[22].start |
2102.33 |
transcript.whisperx[22].end |
2121.24 |
transcript.whisperx[22].text |
主要兩件事情第一個是我們所有的企業發展我們看起來半導體跟AI雙核心這兩個產業會帶動台灣高速的成長那這兩個高速成長我們必須把它紮住然後呢利用AI跟半導體的能力去帶動其他產業的發展所以呢我們也因此就可以讓這個產業做得比較好一點那台灣Tech Hub呢將會在 |
transcript.whisperx[23].start |
2124.241 |
transcript.whisperx[23].end |
2133.797 |
transcript.whisperx[23].text |
﹚ |
transcript.whisperx[24].start |
2135.9 |
transcript.whisperx[24].end |
2149.269 |
transcript.whisperx[24].text |
為什麼我們會從AI半導體的角度來看的話 這上面我們有一個分析我們可以看得到晶圓代工我們台灣已經是世界第一 佔全球的產值的65%我們的封測佔了53% 已經穩穩的佔在全球最領先的位置 |
transcript.whisperx[25].start |
2156.934 |
transcript.whisperx[25].end |
2174.944 |
transcript.whisperx[25].text |
但是呢,我們在IC設計、半導體的設備跟半導體的材料上面還有很大的增長空間那為了發展這一部分呢,將這個地方將是我們要努力的方向,我們希望能讓產值翻倍那尤其設備我希望有機會我們要做翻三倍,所以這些都會納入我們未來國家發展計畫 |
transcript.whisperx[26].start |
2177.325 |
transcript.whisperx[26].end |
2202.206 |
transcript.whisperx[26].text |
那這幾個翻倍的計畫出來會帶動比較多的高薪就業人口數那高薪就業人口數增加之後稅收會增加也可以進行更進一步的這個福利的分配那所得的再分配那這樣的話可以造福到比較低階的人那另外就是在AI的部分我們可以看到這條是AI的 |
transcript.whisperx[27].start |
2202.907 |
transcript.whisperx[27].end |
2205.369 |
transcript.whisperx[27].text |
委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會 |
transcript.whisperx[28].start |
2227.004 |
transcript.whisperx[28].end |
2250.329 |
transcript.whisperx[28].text |
我們希望從AI的兩個方向去發展我們從晶圓代工所產生的CHIP到IC的設計到散熱都有一定的領先地位IC的部分我們剛剛有提到我們會再加強的去做半導體的推估第二個部分是研究的部分研究的部分是台灣過去比較弱的地方所以造成台灣一直是技術的路超過 |
transcript.whisperx[29].start |
2251.169 |
transcript.whisperx[29].end |
2251.269 |
transcript.whisperx[29].text |
臺灣大學 |
transcript.whisperx[30].start |
2270.979 |
transcript.whisperx[30].end |
2286.408 |
transcript.whisperx[30].text |
AI的下一步發展也會進我們的TechHub還有次世代的這個這個半導體會進TechHub然後呢量子電腦進TechHub所以它會整個整合在一起那另外我們在拉第二條研究的發展路線會是跟中央研究院的進一步的合作 |
transcript.whisperx[31].start |
2287.992 |
transcript.whisperx[31].end |
2313.005 |
transcript.whisperx[31].text |
另外一個部分,所以我們可以把源頭拉高,創造更多的產業附加價值,帶動更多的高薪就業機會我個人認為台灣現在的就業率已經很低了,我們要創造的是高薪的就業機會讓大家有更多的高薪工作機會右邊的部分是我們未來要重點發展的一個部分,就是整個AI運用的價值 |
transcript.whisperx[32].start |
2313.965 |
transcript.whisperx[32].end |
2333.022 |
transcript.whisperx[32].text |
整個AI Server的發展它是一條曲線目前來講它的重點在於研究跟實驗的部分那已經衝出一個相當的量了下一波要有更高的量就是在應用面那應用面的部分我們目前台灣在這個部分我們只有1%可是整個全球的市場大概有3.97兆 |
transcript.whisperx[33].start |
2334.784 |
transcript.whisperx[33].end |
2357.389 |
transcript.whisperx[33].text |
我們希望從這3.97兆去擴大我們的佔有率讓台灣可以在AI的世界裡面站穩亞洲的核心那這個部分的培養會搭配我後面說的服務業的培養因為我們希望這個地方台灣我們檢核台灣硬體的部分我們是世界領先的位置但是在軟體的部分我們是比較中間偏後的位置 |
transcript.whisperx[34].start |
2358.529 |
transcript.whisperx[34].end |
2379.525 |
transcript.whisperx[34].text |
簡單的一個數字說明台灣在2021年我們在這個資訊軟體服務業的GDP佔比大概是1.2但是美國是4.79對岸的中國是3.8所以我們這個地方的發展必須要翻倍的往上走那這個翻倍往上走有在於人才的部分的整理那我後面會進一步的說明 |
transcript.whisperx[35].start |
2380.845 |
transcript.whisperx[35].end |
2408.562 |
transcript.whisperx[35].text |
另外一個部分我們要打造明星產業變成我們的復國群山我們現在其實有很好的經驗代工是復國群山因為只要鍛煉就鍛煉了但是各位看一下這個圖我們在SERP部分佔了90%IC封裝我們佔了53%另外我們拉出三個產業這幾個產業都有15%以上的全球市佔率我們希望把這些產業拉到30% |
transcript.whisperx[36].start |
2410.003 |
transcript.whisperx[36].end |
2432.498 |
transcript.whisperx[36].text |
的全球市佔率那這樣的話呢我們會有五座山、六座山達到全球市佔超過30%就足以影響全球供應鏈那塑造台灣更重要的全球經濟地位跟影響力那這幾個重點會讓我們更穩固更有未來那這裡也會帶動更多的高薪就業機會那我們希望從這裡去發展 |
transcript.whisperx[37].start |
2434.159 |
transcript.whisperx[37].end |
2458.346 |
transcript.whisperx[37].text |
另外為了照顧產業的平衡發展我們還是希望能夠注意到所有的人民服務業我們可以看到左邊的圖62%的就業人口在這個地方我們不重視是不行的可是如果我們環顧製造業跟服務業來講製造業很明顯的他在全球的影響力是明顯的出來了但是服務業的全球影響力還有待提升我們為了AI的發展我們會先拉我們這邊右邊的資訊服務業 |
transcript.whisperx[38].start |
2464.107 |
transcript.whisperx[38].end |
2481.652 |
transcript.whisperx[38].text |
這個資訊服務業現在我們最大的困難是人才的培育所以它會結合我們國家會的人才政策也就是說我們在未來的人才上面我們必須去主動積極的去找不是現在是著重於法令的鬆綁那我們將來會是主動的積極的去獵財到美國去獵財到美國比較先進我們去獵財到歐洲去獵財我們希望吸引更多人進來那這樣的話可以解決我們短期資訊服務業AI人才的缺口 |
transcript.whisperx[39].start |
2493.536 |
transcript.whisperx[39].end |
2509.428 |
transcript.whisperx[39].text |
那硬體的缺口是現在國內目前正在做的部分那加起來之後就會讓我們整個在解決方案上面有機會大幅的提升那另外在左邊的部分是比較稍微附加價值或成長比較低的這個服務業 |
transcript.whisperx[40].start |
2511.63 |
transcript.whisperx[40].end |
2540.521 |
transcript.whisperx[40].text |
那這幾個服務業呢我們打算是透過協助兩件事第一個透過我們臺灣比較強的AI智慧化讓數位化讓他們的營運效率跟他的市場接觸就是通路策略會做得比較好之外更有競爭力之外我們會鼓勵他們進行產業控股然後呢結合他的力量因為要走出世界的話他需要比較大的經濟規模比較容易走出去那我們希望透過這樣的方式控股的方式因為控股的架構 |
transcript.whisperx[41].start |
2541.181 |
transcript.whisperx[41].end |
2541.361 |
transcript.whisperx[41].text |
獲得獲得 |
transcript.whisperx[42].start |
2557.014 |
transcript.whisperx[42].end |
2557.394 |
transcript.whisperx[42].text |
委員會主任委員會主席 |
transcript.whisperx[43].start |
2584.775 |
transcript.whisperx[43].end |
2612.51 |
transcript.whisperx[43].text |
那翻倍的話呢這不是資金到位的問題而是一個生態系的問題這個生態系就是說資金進來引進來之後呢他必須要有比較優質的投資標的第二個要足夠的投資標的否則錢進來沒有那麼多的標的那我們就變成必須把這三個循環做出來就第一個讓投資標的增加讓投資標的增加這也會利用台灣tech hub去做台灣tech hub我們參考的香港tech hub或者是 |
transcript.whisperx[44].start |
2613.15 |
transcript.whisperx[44].end |
2613.972 |
transcript.whisperx[44].text |
在學校重新教育創業過程 |
transcript.whisperx[45].start |
2628.59 |
transcript.whisperx[45].end |
2651.194 |
transcript.whisperx[45].text |
他是一個end-to-end的不是只教你怎麼研發還教你怎麼樣去經營那第二個部分是鼓勵博士後把博士後研究拿出來做那這幾個會再加上我們成熟企業的創新會一起進來那當然我們還是會去吸引國外尤其是比較優秀在美國的華人回到台灣來那我們打算利用這樣的方式呢 |
transcript.whisperx[46].start |
2651.674 |
transcript.whisperx[46].end |
2658.521 |
transcript.whisperx[46].text |
獲得資金進來,目前我們是有一個還不錯的規劃應該是沒有問題所以這個生態系建立起來之後台灣的整個活絡度就會比例成翻倍而且是每年翻倍 |
transcript.whisperx[47].start |
2677.058 |
transcript.whisperx[47].end |
2700.144 |
transcript.whisperx[47].text |
但是不管怎麼樣沒有足夠的人是沒有用的所以我們將來會從過去法令鬆綁我們開放金卡之外我們會再進一步做人才的吸引再進一步的去做人才的獵取為什麼呢?因為我們過去的研究我在民間的時候研究我們大概未來20年50年都是一個人才戰爭全球的認定都是一樣的 |
transcript.whisperx[48].start |
2703.965 |
transcript.whisperx[48].end |
2731.537 |
transcript.whisperx[48].text |
那在這個少子化的過程裡面我們必須解決短期的問題跟長期的問題短期的問題是我們尖端人才必須被補足那尖端人才必須要補足呢它有兩種一種是我們標定的我們前面所提的幾個產業我們現在正在做統計已經外面單位在幫我們做人才需求統計我們會找出需求與供給的差異之後我們會跟企業合作一起到美國去攬財去找這些人進來那我在外商待過我認為機會很大 |
transcript.whisperx[49].start |
2733.339 |
transcript.whisperx[49].end |
2754.701 |
transcript.whisperx[49].text |
為什麼?因為在外商裁員的話呢都是黃皮膚的先裁再裁黑皮膚再裁那個所以我在過去IBM也好在PWC也好我們看到的是這樣所以呢很多人會遇到玻璃天花板很多人遇到父母要身體的問題那我相信願意回來的人是不少但是我得解決他的生態系生態系就是他小孩的就學問題 |
transcript.whisperx[50].start |
2756.222 |
transcript.whisperx[50].end |
2757.443 |
transcript.whisperx[50].text |
國際基金主任委員會主任委員會主任委員會主任委員會主任委員會主任 |
transcript.whisperx[51].start |
2785.825 |
transcript.whisperx[51].end |
2808.585 |
transcript.whisperx[51].text |
這樣一個環境來做的話會讓我們的人才可以在比較短的時間補足而且是一個對的缺口的補足在解決我們產業創新跟我們產業發展跟所需要的人才跟生態系的問題之後我們還需要到均衡台灣讓各地的希望都存在我們也要發展地方的特色 |
transcript.whisperx[52].start |
2810.046 |
transcript.whisperx[52].end |
2827.943 |
transcript.whisperx[52].text |
所以我們會持續我們在地方創生的運作但地方創生的運作我們會希望做出我們現在過去做得不錯我們在各個地方都有非常多的創生的這個成功案例那這些成功案例下一步我們希望整合成功案例 |
transcript.whisperx[53].start |
2828.183 |
transcript.whisperx[53].end |
2845.998 |
transcript.whisperx[53].text |
﹚ |
transcript.whisperx[54].start |
2846.358 |
transcript.whisperx[54].end |
2865.079 |
transcript.whisperx[54].text |
第二部分是團結,我們會把地方各個有利因素整合在一起,帶動各方面,這樣的話就可以有比較好的效果。我們會先找兩個點做實驗,成功之後我們會開始推廣到各個地方去,讓我們的地方再生有更一步的不一樣。 |
transcript.whisperx[55].start |
2868.642 |
transcript.whisperx[55].end |
2892.067 |
transcript.whisperx[55].text |
最後是在離島的部分我們會持續發展從離島的水電系統海洋的文化那我們特別會發展的一部分就是在數位醫療的部分跟離島醫療的部分那我們其實現在每一年有增加100位公費生在西醫的部分50位公費生是在亞裔的部分那這些人將來都要進到偏遠地區 |
transcript.whisperx[56].start |
2892.927 |
transcript.whisperx[56].end |
2908.49 |
transcript.whisperx[56].text |
. |
transcript.whisperx[57].start |
2908.85 |
transcript.whisperx[57].end |
2928.806 |
transcript.whisperx[57].text |
發展它的北核心、中核心、南核心的計畫從歷史的文化、休閒區到大學城那大學城的部分已經交由中興大學開始在進行的那這個另外我們在歷史文化區裡面現在是以創生跟創新的園區為主那另外接下來就要把休閒生活區做進一步的整理 |
transcript.whisperx[58].start |
2929.326 |
transcript.whisperx[58].end |
2959.326 |
transcript.whisperx[58].text |
議員議員議員 |
transcript.whisperx[59].start |
2959.446 |
transcript.whisperx[59].end |
2981.384 |
transcript.whisperx[59].text |
那這個數位績效管理系統將來會讓我們可以隨時調出來每一個鄉鎮甚至我們立委的選區我們到底做了什麼事答應什麼事那我們執行的進度怎麼樣我們希望把這個系統盡快的規劃與整理起來然後呢讓總統院長到各個地方都能夠隨時回應那這個確保我們的績效會做得比較好一點 |
transcript.whisperx[60].start |
2982.285 |
transcript.whisperx[60].end |
3011.549 |
transcript.whisperx[60].text |
那這些看板呢也會到時候會讓各個單位來做改善那另外就是在我們接收的國家檔案局我們今年會做檔案的數位智能服務那另外呢我們正在正在規劃一個今年年底會完工明年會搬進去的一個首座國家檔案館那這個檔案館會有很多的數位展跟數位的活動跟服務那也結合地方那到時候呢 |
transcript.whisperx[61].start |
3012.849 |
transcript.whisperx[61].end |
3040.379 |
transcript.whisperx[61].text |
等比較完整的時候我們會進一步說明另外還有一個就是法規要鬆綁協助經商環境的改善這個地方我們會有內外的資訊的input從歐美的部分到我們內部的部分還有到立法院的要求我們會一起來盡量去讓整個產業活動能夠比較自由一點讓它比較活絡一點 |
transcript.whisperx[62].start |
3041.579 |
transcript.whisperx[62].end |
3068.361 |
transcript.whisperx[62].text |
那最後我們在社會化的部分我們也在規劃一個效能政府開放政府的這個目標這是總統政見人民做主開放政府那我們希望我們已經先徵詢了民間42個提案那接下來我們已經找了顧問公司研究提出了幾個項目可以做進行的第一個是資料的開放open data第二個是原住民數位不平等領域的發 |
transcript.whisperx[63].start |
3069.242 |
transcript.whisperx[63].end |
3088.098 |
transcript.whisperx[63].text |
的部分我們要去解決公共參與領域發展結合民進提案這幾個方案我們會做一個整合這兩個整合之後呢我們接下來會用兩兩個月的時間去整理出我們未來在這個領域的推動方案讓我們的開放政府走得更先進更得到人民的認同 |
transcript.whisperx[64].start |
3090.135 |
transcript.whisperx[64].end |
3105.57 |
transcript.whisperx[64].text |
另外公共建設部分我們會持續加速的支持各個地方的發展然後我們會在公建上面的審核我們會提升這個效率也讓他能夠盡量滿足大家的需求 |
transcript.whisperx[65].start |
3106.571 |
transcript.whisperx[65].end |
3128.776 |
transcript.whisperx[65].text |
所以結合下來我們從經濟的發展看起來是進入活絡的階段出口看起來也會進入比較活絡的階段臺灣應該會有一個比較好的的未來那第二個事情在未來經濟發展上面我也報告了我們打算怎麼做怎麼發展那我們希望立院跟行政院的通力合作 |
transcript.whisperx[66].start |
3129.256 |
transcript.whisperx[66].end |
3129.376 |
transcript.whisperx[66].text |
報告完畢 |
transcript.whisperx[67].start |
3147.967 |
transcript.whisperx[67].end |
3176.378 |
transcript.whisperx[67].text |
好 謝謝我們主委詳時的報告那現在我們要進行詢答委員詢答前我們依照慣例主席台做幾項的宣告每位委員發言的時間6分鐘必要的時候加1分鐘非本委員會4分鐘那我們10點半截止登記我們現在就請登記第一位的邱毅英委員召委請做詢答 |
transcript.whisperx[68].start |
3186.026 |
transcript.whisperx[68].end |
3194.291 |
transcript.whisperx[68].text |
謝謝主席我是不是請一下我們劉主委我們請主委你站起來然後敬禮然後回到發言台 |
transcript.whisperx[69].start |
3201.762 |
transcript.whisperx[69].end |
3219.17 |
transcript.whisperx[69].text |
主委長,我想今天您花了大概24分鐘的時間做了一個非常詳盡然後也跟過去我們看到的國發會的報告是不太一樣的那我大概看了一下您花了其實相當多的篇幅在講到所謂的IC設計跟這個產業鏈供應等等的問題 |
transcript.whisperx[70].start |
3224.272 |
transcript.whisperx[70].end |
3240.638 |
transcript.whisperx[70].text |
我相信您來自業界您花了這麼多的時間在這些篇幅上面這未來是不是就是您國發會您所領導的國發會裡頭最重要或者是第一項要全力去推動的業務是不是是的好 |
transcript.whisperx[71].start |
3244.067 |
transcript.whisperx[71].end |
3268.062 |
transcript.whisperx[71].text |
來,主委請看一下Cabutex這個會在6月4日到6月7日舉辦今年舉辦大概應該會是有史以來這個CEO最多的一屆而且也是最大咖的一屆包括這個超委的董事長蘇豐茲然後包括Intel的這個紀辛格包括這個黃榮勳、輝達的黃榮勳包括這個ARM的這個Hus |
transcript.whisperx[72].start |
3272.645 |
transcript.whisperx[72].end |
3290.016 |
transcript.whisperx[72].text |
等等這麼多的這個AI的巨頭、CEO齊聚在臺灣那剛剛您的報告裡頭其實也講得非常的清楚這個AI伺服器的產業在全球的市場裡頭臺灣扮演一個非常重要的角色 |
transcript.whisperx[73].start |
3290.896 |
transcript.whisperx[73].end |
3317.755 |
transcript.whisperx[73].text |
根據經濟部發表的資料臺灣的AI伺服器的製造是佔全球的90%左右所有的這包括美系的這些伺服器的品牌全部都是依賴臺灣的代工 對不對所以這個產業對臺灣來講它不只是經濟發展的命脈我覺得它也擔負了很重要的 |
transcript.whisperx[74].start |
3318.957 |
transcript.whisperx[74].end |
3328.568 |
transcript.whisperx[74].text |
國安發展的這樣的一個責任主委您同意我的看法嗎?完全同意好 來主委我想再請教您 |
transcript.whisperx[75].start |
3330.439 |
transcript.whisperx[75].end |
3355.594 |
transcript.whisperx[75].text |
這個是歐洲商會在大概一個多月前吧他們的專欄裡頭提出現在在立法院裡頭呢因為有國民黨跟民眾黨兩個黨推出的藐視國會罪未來如果外商公司不配合立法院的調查或是有任何觸怒立委的行為都會有這樣的一個風險存在都會有藐視國會的風險存在好 |
transcript.whisperx[76].start |
3360.116 |
transcript.whisperx[76].end |
3384.915 |
transcript.whisperx[76].text |
剛剛我們講到了這麼多的AI設計這麼多的伺服器這麼多的這個IC產業鏈這不只是台灣的經濟命脈也是台灣的國安命脈根據我們前天5月28日通過的條文裡頭第48條法人、人民團體或社會上有關係人員違反本法規定的時候與立法院調閱文件資料及檔案時 |
transcript.whisperx[77].start |
3385.996 |
transcript.whisperx[77].end |
3406.661 |
transcript.whisperx[77].text |
遭拒絕拖延或隱匿不提供者:立法院院會可以處以新台幣1萬元以上到10萬元以下罰還並按次處罰到改正為止甚至第59條還規定聽證人員不得拒絕:無正當理由缺席拒絕表達意見、拒絕證言、拒絕提供資料者 |
transcript.whisperx[78].start |
3407.481 |
transcript.whisperx[78].end |
3432.715 |
transcript.whisperx[78].text |
按次處罰這是5月28日通過的條文嘛主委您應該也看到了嘛對不對是的好我請教你如果照這個條文通過剛剛我們講的那些IC設計的產業業者如果立法院的委員要求他提供資料他能不能不提供可不可以 |
transcript.whisperx[79].start |
3434.139 |
transcript.whisperx[79].end |
3460.229 |
transcript.whisperx[79].text |
按照這個條文來看好像是不能如果我要求回答提供他的產品研發流程他的高科技製程流程能不能不提供從這個條文來看不能台積電能不能不提供目前看是不能營業機密、台積電的全球佈局聯發科的全球佈局、文貿的全球佈局日月光的全球佈局 |
transcript.whisperx[80].start |
3461.414 |
transcript.whisperx[80].end |
3475.183 |
transcript.whisperx[80].text |
能不能不提供?目前看是不能如果主委您講到依照這個法令它不能不提供的話那會造成什麼影響?你可以預估嗎?國發會你們一天到晚在預估這個我現在下一個問題是經濟的成長景氣燈號要變成這個黃紅燈了越來越熱 |
transcript.whisperx[81].start |
3484.735 |
transcript.whisperx[81].end |
3484.755 |
transcript.whisperx[81].text |
來 諸位 |
transcript.whisperx[82].start |
3511.098 |
transcript.whisperx[82].end |
3522.512 |
transcript.whisperx[82].text |
謝謝委員 這個問題的確是必須要去注意的那我自己私底下有去問一些廠商那主要關鍵我個人認為因為大家對整個訊息不夠明確 |
transcript.whisperx[83].start |
3526.537 |
transcript.whisperx[83].end |
3541.204 |
transcript.whisperx[83].text |
大家因為越模糊越緊越擔心嘛從來沒有過的第一次發生也會擔心所以多多少少因為不明確大家是有很擔心的地方這是的確有那至於會不會影響產業可能還要再多觀察那我的看法是說如果將來有實施細則或更明確的說明的時候那如果內容是讓廠商覺得可以適宜的話 |
transcript.whisperx[84].start |
3555.111 |
transcript.whisperx[84].end |
3557.112 |
transcript.whisperx[84].text |
主委 這沒有實施細則啊 如果我現在 我現在覺得你對我的回答我不滿意啊 |
transcript.whisperx[85].start |
3574.073 |
transcript.whisperx[85].end |
3599.008 |
transcript.whisperx[85].text |
對不對我現在覺得您的回答是在呼嚨啊你還要我提供你實施細則你本來就應該自己準備好了還要提供什麼實施細則我隨時告你藐視國會啊這就是這一條法令啊立法委員要人家的全球布局幹嘛立法委員要人家的機密製程的機密幹嘛甚至立法委員還可以要求國防部公布飛彈部署的機密要這些東西幹嘛幫誰要的 |
transcript.whisperx[86].start |
3602.475 |
transcript.whisperx[86].end |
3629.683 |
transcript.whisperx[86].text |
這些東西拿出去以後台灣會產生一個什麼樣的重大危機這是這一條法令最大的問題所在所以您擔任國發會的主委其實您應該要更清楚的去了解甚至透過各種不同的管道在跟這些產業座談的時候讓他們知道這樣的一個法令 |
transcript.whisperx[87].start |
3630.991 |
transcript.whisperx[87].end |
3660.1 |
transcript.whisperx[87].text |
其實是重大危害台灣的民主跟危害台灣的國家安全甚至危害台灣的投資環境您作為一個國家發展的重要的部會首長您應該要更清楚的了解我剛剛講你藐視國會那是反串喔你不要以為我真的認為你是藐視國會喔我怕你這個今天出來炸到會被我嚇到我是很清楚告訴你那個是反串喔但是你不要以為這不會發生啊 |
transcript.whisperx[88].start |
3661.707 |
transcript.whisperx[88].end |
3671.616 |
transcript.whisperx[88].text |
這未來就是真真實實會在立法院上演啦這些東西我們如果不能盡其所能的保護好的話我們就是開了一個大洞讓 |
transcript.whisperx[89].start |
3674.233 |
transcript.whisperx[89].end |
3697.709 |
transcript.whisperx[89].text |
想要透過這樣的一個產業鏈入侵台灣的人很順理成章甚至很輕而易舉的就來攻破台灣所有的IC產業鏈攻破台灣所有的優勢這個是國發會未來要密切密切注意的一個地方確保投資環境的安全確保台灣的產業鏈的永續發展確保台灣在IC設計產業上面的優勢 |
transcript.whisperx[90].start |
3704.194 |
transcript.whisperx[90].end |
3720.109 |
transcript.whisperx[90].text |
這個不只是您今天講的這個報告裡面這個完全未來會是您在所有推動的政策上面的重中之重我們一起共同勉勵好不好主委是謝謝委員好謝謝好謝謝來請下來謝謝然後再進個領謝謝然後再回座 |
transcript.whisperx[91].start |
3729.569 |
transcript.whisperx[91].end |
3745.315 |
transcript.whisperx[91].text |
謝謝來接下來我們請第二位鄭正前委員請做詢答謝謝主席我想請一下劉主委我們再請劉主委請上發言台 |
transcript.whisperx[92].start |
3749.056 |
transcript.whisperx[92].end |
3775.224 |
transcript.whisperx[92].text |
委員長昨天好,看到你剛剛花了二十幾分鐘在做一個報告我在想說裡面有幾個重要的問題其中我想先問一個狀態其實它在你報告裡面沒有提到的是因為你昨天特別提到說你不排斥重啟核電這件事情你可以把這個部分再把它說清楚一下你當時提到了三個原則在怎麼樣的情況之下的時候我們可以重啟核電或者是核電演繹,請一併說明 |
transcript.whisperx[93].start |
3781.402 |
transcript.whisperx[93].end |
3805.602 |
transcript.whisperx[93].text |
我説明一下其實媒體有點誤解我的三原則主要是在看從當時我的三原則談的是產業的角度其實我談兩個一個我對我們看怎麼看核電我先講產業的角度我來自產業產業其實要一個是安全穩定的供電那它其實這個電是來自於哪一種電其實對企業而言其實坦白講不是重點 |
transcript.whisperx[94].start |
3807.193 |
transcript.whisperx[94].end |
3834.641 |
transcript.whisperx[94].text |
那只要電夠是 所以說電要夠嘛 對不對你講到三原則第一個電要夠嘛 對不對然後第二個狀態的時候你特別提到說低碳的電要夠 對不對那第三個部分你提到了2050淨林目標當中的途徑的問題是的 對不對所以你講到一個重點的部分就是電要夠所以說在電不夠的情況之下的時候呢你覺得重啟核電或者是讓核電延逸你覺得是可行的 對不對 |
transcript.whisperx[95].start |
3836.511 |
transcript.whisperx[95].end |
3858.28 |
transcript.whisperx[95].text |
我沒有說可行因為他必須有四個條件要做到第一個是法令的條件能不能過關那我的其實我開過會從現在各種法令下來他至少要5年後才有機會那當時河岸會也有提到因為這是法令的問題所有的公務員一定是依法行事 |
transcript.whisperx[96].start |
3858.86 |
transcript.whisperx[96].end |
3873.03 |
transcript.whisperx[96].text |
那第二個部分一定是新政府跟新國會之間的協議那這個協議的結果一定還要再遇到兩個問題社會共識的同意第三個是安全無虞我認為這四個是很重要的 |
transcript.whisperx[97].start |
3874.251 |
transcript.whisperx[97].end |
3892.083 |
transcript.whisperx[97].text |
不過我必須老實講你這個回答已經比前一任蔡政府時代的時候的官員有很大的一個突破我在2020年問園農會主委的時候他光是回答一個核能是低碳的這樣的店的時候他後來就很緊張叫我可不可以以後不要問他這樣子的一個問題 |
transcript.whisperx[98].start |
3893.304 |
transcript.whisperx[98].end |
3894.125 |
transcript.whisperx[98].text |
民進黨的能源政策其實有可能調整的 |
transcript.whisperx[99].start |
3915.213 |
transcript.whisperx[99].end |
3935.327 |
transcript.whisperx[99].text |
目前我們非核家園是沒有改變的沒有改變的我們追求長期一定要做到非核家園那我坦白講2025年之前會做到非核家園嗎我剛講的是長期2025年我不知道我還是要去2025年是明年了主委2025年是明年了不長期啊 |
transcript.whisperx[100].start |
3936.861 |
transcript.whisperx[100].end |
3961.915 |
transcript.whisperx[100].text |
你如果說到比如說在50年之後才要變成復活家園那是另外一個issue重點是民進黨當時之前宣布是2025年復活家園要達成這樣子一個目標所以明年就是2025年了所以你剛剛提到這個問題我特別就是要請教2025年的時候是不是就有可能對於核能研議的部分他就會往前走 |
transcript.whisperx[101].start |
3965 |
transcript.whisperx[101].end |
3991.274 |
transcript.whisperx[101].text |
就我所知道的這個這個會議知道的他很難他要研議要遵循法令那遵循法令的話目前來看的話他目前是法令上是沒辦法做研議所以他要再重啟其實應該是在你剛講四五年之後有可能重啟嘛對不對沒有當時他的講法是這樣就是台電要提出一個報告大概要1.5年然後送核安會之後他的審核在1.5年 |
transcript.whisperx[102].start |
3992.475 |
transcript.whisperx[102].end |
4020.866 |
transcript.whisperx[102].text |
然後三年之後回到臺電以後臺電要依河岸的要求去做修就是就做各種的主委這個部分都沒有問題因為其實我們一個政策的一個轉變它一定有它的時程重點是你剛剛講說長期來看的時候非核家園目標沒有變可是重點是明年就是之前民進黨宣誓的2025年非核家園的一個時間點那2025年這個部分的時候這個政策的目標是不是會改變 |
transcript.whisperx[103].start |
4022.489 |
transcript.whisperx[103].end |
4042.042 |
transcript.whisperx[103].text |
我大概比較用企業的角度外觀來看它按照現在的法令走的話2025年一定是會停下來啦那停下來之後呢未來的5年也很難有所以我比較在意的是那我們能不能給民眾足夠的電那這個電我其實問過台電兩次台電的電力是足夠的 |
transcript.whisperx[104].start |
4043.322 |
transcript.whisperx[104].end |
4064.187 |
transcript.whisperx[104].text |
昨天議員在問台電的時候他就講到說上個月下大雨板橋停電然後台電回答說那不是停電沒有供電不是停電那是異常這台電現在在凹的一個態度我這邊也特別提到我們看一下目前整個的一個發電去年的一個發電的一個情況 |
transcript.whisperx[105].start |
4066.027 |
transcript.whisperx[105].end |
4092.224 |
transcript.whisperx[105].text |
整個毛發電量的部分燃煤、燃油、燃氣三個部分占比高達83.1%您剛剛提到說幾個狀態說實話你提到了一個低碳發電這件低碳的電夠不夠這件事情的時候我覺得這是一個很好的一件因為之前的官員當中也很少提到低碳電的問題我想問一下諸位這裡面有哪些是低碳電 |
transcript.whisperx[106].start |
4094.602 |
transcript.whisperx[106].end |
4107.83 |
transcript.whisperx[106].text |
這裡面再生能源、抽蓄跟核能是低碳的就下面三個是低碳電嘛 對不對上面三個都是高碳電所以目前低碳電當中所佔的比重大概只有16% |
transcript.whisperx[107].start |
4109.511 |
transcript.whisperx[107].end |
4132.977 |
transcript.whisperx[107].text |
但16.7%大概就這麼多所以台灣如果說低碳電要夠顯然是有很大的努力的一個空間要去做所以我覺得整個能源政策肯定其實是需要去稍微做一些調整你剛剛報告當中你也提到一個AI產業對台灣對全球有非常大的貢獻那事實上台灣目前整個AI產業當中有一個很重要部分就是算力其實是不夠的 |
transcript.whisperx[108].start |
4133.917 |
transcript.whisperx[108].end |
4161.448 |
transcript.whisperx[108].text |
台灣沒有一個真的國家級的一個算力中心目前真的有在國網中心他要去投入3億元台幣要去做提升算力的一個動作主委這樣夠不夠這個我們跟台電開過會他確定是足夠的我得到訊息很確定足夠你說怎麼樣足夠我剛才問說3億元要做一個算力中心夠不夠我現在不再問電的問題對我的瞭解算力中心3億元國網中心去做這樣夠嗎 |
transcript.whisperx[109].start |
4163.796 |
transcript.whisperx[109].end |
4192.523 |
transcript.whisperx[109].text |
這個是跟台電談過的不是 我要問的是三億元要去成立一個算力中心超算中心不是電的問題電的問題是下一個issue三億元要去做一個算力中心顯然是不夠的主委這是一個很簡單的狀態我在問算力中心夠不夠不是電夠不夠電夠不夠是接下來的問題說實話台電跟我講說現在要成立算力中心他其實是非常擔心的所以你這邊也特別提到了 |
transcript.whisperx[110].start |
4193.143 |
transcript.whisperx[110].end |
4215.353 |
transcript.whisperx[110].text |
就是AI它要用的GPU當中比原本傳統的CPU當中至少用電超過10倍所以這個部分顯然是很緊繃的台新聞直接跟我講說臺灣成立算力中心的時候電是一個大的問題所以在北部基本上是不太可能去成立算力中心他直接講新竹以北都不可能 |
transcript.whisperx[111].start |
4216.918 |
transcript.whisperx[111].end |
4225.926 |
transcript.whisperx[111].text |
除非有國家重大建設這台電給我的答案那你現在講說台電跟你講說電完全沒有問題我們要成立算力中心都沒有問題是這樣子嗎這個我可能再去多了解但是好那個對這個部分因為我本來在想說你算是 |
transcript.whisperx[112].start |
4237.83 |
transcript.whisperx[112].end |
4262.375 |
transcript.whisperx[112].text |
民進黨部長當中第一個很清楚去講到對於核能狀態用一個更開放的態度我們覺得這個狀態是肯定的那如果說前提是電要夠的時候台灣現在在發展很多的產業企業已經從數位轉型轉到AI轉型這個情況用電量會大增所以用電的部分肯定也是我們 |
transcript.whisperx[113].start |
4263.255 |
transcript.whisperx[113].end |
4279.672 |
transcript.whisperx[113].text |
關注的一個問題然後我在這邊另外再附帶兩件事都是你報告裡面有提到的就是我們的少子化問題極為嚴重2020年之後就已經出現生不如死的一個情況那這個情況越來越加劇那我們要怎麼樣去 |
transcript.whisperx[114].start |
4280.333 |
transcript.whisperx[114].end |
4289.767 |
transcript.whisperx[114].text |
改變這樣的一個情況我覺得移民政策很重要因為這個部分已經不是我們花錢就可以去解決因為在過去這幾年政府總共花了將近5000億4949億結果沒有什麼成效 |
transcript.whisperx[115].start |
4296.036 |
transcript.whisperx[115].end |
4311.116 |
transcript.whisperx[115].text |
人口還是持續的一個減少所以我們希望說對於整個人口政策的部分有更好的一個相對應的一個部分去做一個調整包括對於整個人才移民的部分包括一個工作延長就是一般 |
transcript.whisperx[116].start |
4312.057 |
transcript.whisperx[116].end |
4327.135 |
transcript.whisperx[116].text |
就是就業工作延長的一個狀態然後如何運用科技的力量取代人力然後如何去面對人口衰退的這個事情我想這些部分是重要的在砸錢要去增加人口顯然已經過去這幾年證明是沒有成效的 |
transcript.whisperx[117].start |
4327.455 |
transcript.whisperx[117].end |
4327.475 |
transcript.whisperx[117].text |
好,謝謝 |
transcript.whisperx[118].start |
4360.68 |
transcript.whisperx[118].end |
4361.921 |
transcript.whisperx[118].text |
我們接下來請楊瓊英委員謝謝主席楊瓊英發言,邀請主委請主委 |
transcript.whisperx[119].start |
4380.004 |
transcript.whisperx[119].end |
4406.096 |
transcript.whisperx[119].text |
首先恭喜主委因為來自產業界包括我們的經濟部長郭部長來自產業界所以人民滿心的期待尤其你更是AI的教父最近最火熱的就是這個議題所以接下來我們實質討論也就是請教因為郭部長來拜訪的時候他說他上任之後第一個重要的工作就是去盤點 |
transcript.whisperx[120].start |
4408.357 |
transcript.whisperx[120].end |
4425.687 |
transcript.whisperx[120].text |
國內所需要的電量所以我非常的期待他的盤點結果那同樣的議題本席要請教因為我們在媒體上看到您說你不排斥核能因為郭部長也說喔郭部長說核能是乾淨的能源喔 |
transcript.whisperx[121].start |
4426.767 |
transcript.whisperx[121].end |
4453.624 |
transcript.whisperx[121].text |
您說的是不排斥核能當然您也提出必須要有三大原則所以本期要請教您這個不排斥2025年明年那麼我們的王前部長之前他也說了2025年的非核家園是打不到的是跳票了他也非常坦白的直白的說所以本期要請教那你何時能夠盤點這個結果出來 |
transcript.whisperx[122].start |
4458.49 |
transcript.whisperx[122].end |
4473.942 |
transcript.whisperx[122].text |
電的部分的確是郭部長在做我們也會從他這邊一起多協調看一下我這邊是有提供他一些資訊就是AI的運算需要多少電力現在是台電看起來已經納進來評估了 |
transcript.whisperx[123].start |
4476.103 |
transcript.whisperx[123].end |
4480.347 |
transcript.whisperx[123].text |
提醒台電說AI的這個部分或許會是再三層電力的需求,夠嗎? |
transcript.whisperx[124].start |
4496.357 |
transcript.whisperx[124].end |
4498.38 |
transcript.whisperx[124].text |
三個percent跟三成是落差十倍! |
transcript.whisperx[125].start |
4512.15 |
transcript.whisperx[125].end |
4519.518 |
transcript.whisperx[125].text |
市主委如果照林市長所說的是3%是3%而已但是現在產業界很緊張欸產業界認為絕對會超過需求電量的3成所以等於是落差10倍對 |
transcript.whisperx[126].start |
4528.687 |
transcript.whisperx[126].end |
4544.985 |
transcript.whisperx[126].text |
委員講的是的確需要去滾動式的調整那30%是指的是運算中心的電力的提升就是它跟傳統的server之間它運算電力要大幅提升可是在一般的非AI的用電它是持平的 |
transcript.whisperx[127].start |
4545.625 |
transcript.whisperx[127].end |
4569.083 |
transcript.whisperx[127].text |
所以你身為國發會的主委我們就理性來討論明明白白產業界需要這樣的電量所以我說我非常的期待我們的郭部長在下個禮拜三他會來做報告我希望他能夠拿出他所謂的國內所需的電力到底是多少但是我們回歸我們的本質也就是產業界認為需要30% |
transcript.whisperx[128].start |
4571.084 |
transcript.whisperx[128].end |
4599.974 |
transcript.whisperx[128].text |
呃﹗ |
transcript.whisperx[129].start |
4600.589 |
transcript.whisperx[129].end |
4601.689 |
transcript.whisperx[129].text |
如果大家達成共識﹖法令可以修啊 |
transcript.whisperx[130].start |
4617.917 |
transcript.whisperx[130].end |
4634.056 |
transcript.whisperx[130].text |
我們先不要怕困難而是要先去釐清我們的目標到底是什麼你認同這個論點吧我無法否認但是我想委員講的也是謝謝你的無法否認但是您來本席再告訴你就是說 |
transcript.whisperx[131].start |
4637.284 |
transcript.whisperx[131].end |
4652.061 |
transcript.whisperx[131].text |
您曾經說了兩年前發生什麼事我們都很清楚那這個就是一指303的大停電那同時呢您在兩年前也提醒了賴副總統所以說賴副總統他很清楚 |
transcript.whisperx[132].start |
4652.521 |
transcript.whisperx[132].end |
4652.681 |
transcript.whisperx[132].text |
請教主委 |
transcript.whisperx[133].start |
4669.948 |
transcript.whisperx[133].end |
4698.685 |
transcript.whisperx[133].text |
非核家園我們不會討論啊,因為他有安全的問題,我們還是以非核家園為我們的終極目標啦那電的部分其實我從產業的要求我也很快的跟台電做了盤點因為我們必須考慮一個事,如果法令的東西沒有解決,我們一定要讓電足夠那台電的回應是他已經考慮完了,就即使核電停掉他還是有足夠的電所以基本上是台電的當時的跟我的回覆 |
transcript.whisperx[134].start |
4698.865 |
transcript.whisperx[134].end |
4717.626 |
transcript.whisperx[134].text |
現在是三三會理事長林柏鋒先生以及合宿董事長童子賢都是你的好朋友他們呼籲請正式核能發電可行性甚至主張核電成為機載電力你認同嗎?你會把他納入你的考慮嗎? |
transcript.whisperx[135].start |
4719.639 |
transcript.whisperx[135].end |
4739.012 |
transcript.whisperx[135].text |
我的邏輯很簡單電夠就不需要去考慮這件事電不夠當然就需要考慮再一次請教他們兩位所呼籲的就是核能發電的可能性主張核電成為機載電力會在你的討論項目之內嗎以目前現在台電給我的回覆可能短暫不會因為法令的問題是無法解決的 |
transcript.whisperx[136].start |
4749.366 |
transcript.whisperx[136].end |
4762.478 |
transcript.whisperx[136].text |
以台電告訴你 但是你是國發會 我經常說國發會是什麼呢 是政府的心臟 是政府的頭腦 所以你要好好去檢視 好嗎 是 要好好去檢視 好嗎 謝謝委員 是 好 那你願意要檢視 我們就繼續來討論 |
transcript.whisperx[137].start |
4766.821 |
transcript.whisperx[137].end |
4792.089 |
transcript.whisperx[137].text |
說AI的部分呢,您們預計規劃在北部跟南部籌設AI的生態園區昨天我也接受了論壇但是我告訴社會大眾說招商引資全台第一名的台中請教主委會不會將台中也納入規劃將AI打造成台灣第二座的護國神山山群的地位 |
transcript.whisperx[138].start |
4794.49 |
transcript.whisperx[138].end |
4805.496 |
transcript.whisperx[138].text |
這是一定會的,台中會納入吧?會會會,我們今天有初步討論過台中一定要納入,因為我們台中不管是在地理位置、在我們的教育環境裡頭、交通體系 |
transcript.whisperx[139].start |
4807.797 |
transcript.whisperx[139].end |
4829.18 |
transcript.whisperx[139].text |
人文生活都是一等一的城市而且我們的科研區如火如土在建置同時呢我們的人才在教育方面也非常的充裕豐沛這是最佳的地點所以我謝謝你同意本席所說的台中務必要成為AI的最重要的基地之一 |
transcript.whisperx[140].start |
4830.026 |
transcript.whisperx[140].end |
4849.296 |
transcript.whisperx[140].text |
同意吧?同意,同意好,我們就一起繼續加油那本席再請教喔剛剛呢您說了電夠可是台電告訴我們你們是怎麼說呢?他說電如果不夠的時候他可以隨時增加機組他可以隨時增加機組在我的家鄉我們的火力發電廠我告訴主委我們已經用廢發電我們已經貢獻良多我們的生命誠可貴 |
transcript.whisperx[141].start |
4859.929 |
transcript.whisperx[141].end |
4860.109 |
transcript.whisperx[141].text |
你可以認同吧? |
transcript.whisperx[142].start |
4876.174 |
transcript.whisperx[142].end |
4892.446 |
transcript.whisperx[142].text |
是的我順便跟委員報告我們會在臺中做一個實驗做一個零碳電的實驗就是用藍綠青在臺中他是零碳的第一個實驗點就會在這個也就是你在討論的綠能但是你沒回答剛剛本席不能加火力發電廠的基礎因為我們議會我們也有一個減碳的法令在那裡 |
transcript.whisperx[143].start |
4898.738 |
transcript.whisperx[143].end |
4899.598 |
transcript.whisperx[143].text |
是的,我會照顧他 |
transcript.whisperx[144].start |
4917.913 |
transcript.whisperx[144].end |
4922.239 |
transcript.whisperx[144].text |
是的所以我們非常的希望在你接軌國際這個淨零碳排的這個目標應該要將自然碳會包括了藍碳、綠碳以及黃碳做整合來作為滾動式的一個檢討是不是是 |
transcript.whisperx[145].start |
4936.155 |
transcript.whisperx[145].end |
4955.024 |
transcript.whisperx[145].text |
所以我們希望AI教護的你能夠好好的去完善了這一些事情最後一個議題我把功課給你也就是少子化的問題我們預估2022年開始內政部列管的一男人數今年首度跌破了10萬而且他們預估2031年會下滑 |
transcript.whisperx[146].start |
4962.709 |
transcript.whisperx[146].end |
4976.046 |
transcript.whisperx[146].text |
所以主委在人口的一個結構變遷衝擊未來的經濟、勞動、財政、教育、醫療等等所以主委本席要給你一個功課也就是你要 |
transcript.whisperx[147].start |
4977.683 |
transcript.whisperx[147].end |
4990.832 |
transcript.whisperx[147].text |
創新有效的方法來因應人口問題所帶來的挑戰所以我希望給你這個功課你詳細去盤點將方案給本席好嗎?好的 謝謝謝謝楊卓英委員接下來我們請李玉琳委員請做詢答 謝謝 |
transcript.whisperx[148].start |
5009.326 |
transcript.whisperx[148].end |
5010.67 |
transcript.whisperx[148].text |
謝謝主席 請留主委我們再請主委 |
transcript.whisperx[149].start |
5024.648 |
transcript.whisperx[149].end |
5035.671 |
transcript.whisperx[149].text |
委員長謝謝大家都知道你來自於產業而且你的擅長在於管理跟數位的轉型尤其是非常熟悉整個產業的趨勢那現在到了我們的國發會我相信國發會也整個對於我們 |
transcript.whisperx[150].start |
5042.273 |
transcript.whisperx[150].end |
5042.613 |
transcript.whisperx[150].text |
好,謝謝委員 |
transcript.whisperx[151].start |
5066.872 |
transcript.whisperx[151].end |
5093.057 |
transcript.whisperx[151].text |
因為主委那個經濟部長郭志輝他特別有提到這個核能是乾淨的能源那這就代表著我們的核能是否要處理的問題是非常的重要那尤其是也提到了這個AI產業還有我們的半導體它是極高的需要的用電所以這個電的夠不夠是非常的重要那剛剛提到主委你一直在講說台電告訴你電夠 |
transcript.whisperx[152].start |
5095.197 |
transcript.whisperx[152].end |
5107.943 |
transcript.whisperx[152].text |
他告訴你電夠,那我們桃園啊一直在停電跳電那這樣子主委你還認為電夠不夠你自己要有個判斷電夠不夠因為你知道產業很多產業都急需要用電的啊 |
transcript.whisperx[153].start |
5110.379 |
transcript.whisperx[153].end |
5127.258 |
transcript.whisperx[153].text |
是不是?電夠不夠?有沒有缺電?是的,我的確我跟產業我們其實常常密切的在接觸那現在因為整個用電的狀況是比兩年前改善非常多這是事實那為什麼桃園停電這麼多次呢? |
transcript.whisperx[154].start |
5127.558 |
transcript.whisperx[154].end |
5128.878 |
transcript.whisperx[154].text |
主委,您認為有沒有缺點? |
transcript.whisperx[155].start |
5151.069 |
transcript.whisperx[155].end |
5175.515 |
transcript.whisperx[155].text |
我目前從民間的反應跟臺電的強烈的兩次的...你不要只聽臺電說,你的判斷呢?我目前...你來自產業,你應該很清楚至少產業目前是沒有跟我反應過這件事情產業沒有?沒有,目前沒有所以主委,我們希望你在產業跟民生用電的角度來講我們的能源政策真的是有調整的空間那接下來 |
transcript.whisperx[156].start |
5176.035 |
transcript.whisperx[156].end |
5176.415 |
transcript.whisperx[156].text |
三月21日的國際能源會議 |
transcript.whisperx[157].start |
5206.535 |
transcript.whisperx[157].end |
5227.784 |
transcript.whisperx[157].text |
非核家園是這個目標是永不放棄的目標那這就代表著河山廠的一號二號機仍然在這個今年跟明年就是要除役了在這種情形之下2050年我們的淨零排放這個路徑這個策略是很難達到的因為再生能源就要達到60%以上了你認為做得到嗎 |
transcript.whisperx[158].start |
5232.073 |
transcript.whisperx[158].end |
5257.791 |
transcript.whisperx[158].text |
我如果是從長期的淨零碳排我認為做得到最主要的原因是氫能源的發展會在會越來越快速那現在過渡期我們有藍綠氫可以做過渡那這個藍綠氫的應用不只是我們在電廠應用現在有些企業在做他自己的備用電源也開始啟用了藍綠氫原因是他是一個綠電對他企業在外銷的時候是很有幫助的那他本來就要做備用系統那進行就會解決這個問題 |
transcript.whisperx[159].start |
5261.374 |
transcript.whisperx[159].end |
5261.554 |
transcript.whisperx[159].text |
2016ing |
transcript.whisperx[160].start |
5279.406 |
transcript.whisperx[160].end |
5279.526 |
transcript.whisperx[160].text |
您認為可能嗎? |
transcript.whisperx[161].start |
5309.281 |
transcript.whisperx[161].end |
5317.976 |
transcript.whisperx[161].text |
2035年大量運轉是濾清是完全透過水去電解所以你現在是混合清到了2035年的話是濾清濾清的2050年就達到整個是我們純淨的清 |
transcript.whisperx[162].start |
5323.018 |
transcript.whisperx[162].end |
5344.667 |
transcript.whisperx[162].text |
對,他是感激他就能夠解決完全沒有碳的排放而且他對台灣的保障更好因為他原料是水所以他來自水所以是你有信心嗎?我有信心好,我們期待你有的信心因為剩下26年的時間2035年就來這個濾清就開始大量的運轉的話他佔比再生能源就要達到 |
transcript.whisperx[163].start |
5345.487 |
transcript.whisperx[163].end |
5346.608 |
transcript.whisperx[163].text |
在這次我們賴政府他的宣言裡面 |
transcript.whisperx[164].start |
5361.354 |
transcript.whisperx[164].end |
5388.477 |
transcript.whisperx[164].text |
他有講說五大信賴產業五大的信賴產業跟蔡英文之前的六大這個戰略的這個產業這當中的差別性我們看到了我們的賴政府沒有談到這個整個再生能源跟綠能的產業為什麼沒有談到?難道他對這個再生能源綠能已經沒有信心了嗎?還是不是核心的重要的這個產業還是說已經碰到瓶頸了? |
transcript.whisperx[165].start |
5389.386 |
transcript.whisperx[165].end |
5415.897 |
transcript.whisperx[165].text |
它是已經突破瓶頸了我舉個例子一開始我們做那個水下裝是9個月做一支因為我們的3D的焊接的精度不足、鋼構不足現在都克服了現在一個月可以做到9支所以它已經變成從過去比較艱困的部分已經克服到那個所以它已經是一個比較可以正式要商轉的環境了所以它不是一個等於是它不需要再它的輔導期是已經快結束了 |
transcript.whisperx[166].start |
5416.584 |
transcript.whisperx[166].end |
5434.788 |
transcript.whisperx[166].text |
主委本期在這邊還提醒您因為這個氫氣的發電這個整個技術還沒有夠成熟那我們有需要很多的時間去克服那何時可以正式的這個商轉也不是說你說的時間它就一定能夠商轉都是未定數所以在2050年要達到這個近年的排放這個目標這個願景還是我們要多多考慮是不是能夠將核能的重新納入考量 |
transcript.whisperx[167].start |
5443.071 |
transcript.whisperx[167].end |
5450.45 |
transcript.whisperx[167].text |
這是非常的重要我們也希望你能夠整合各方的意見你可以給我們的現在的賴政府賴總統什麼建議呢 |
transcript.whisperx[168].start |
5453.225 |
transcript.whisperx[168].end |
5477.255 |
transcript.whisperx[168].text |
我其實我給他建議也是在濾清因為我們其實我看了很多的paper過去我們在研究這方面琢磨很深因為以前我有一個永續公司大概有80幾個員工那全球的報告研究下來連那個空中巴士都宣稱他在2035年要做第一台的濾清的飛機那歐洲現在從垃圾車到交通工具都在做實驗包括渡輪 |
transcript.whisperx[169].start |
5478.255 |
transcript.whisperx[169].end |
5503.574 |
transcript.whisperx[169].text |
包括德國福斯特的工業區其實我們去看關西電力的備用電力也都是濾清那台灣現在很多科技也開始在推動輕能源的備用系統就不再是傳統發電機所以這個動作其實是已經進行式了所以它的成熟期會越來越貴都是在進行式當中所以你知道嗎2030年這個貿易出口就是要零碳排放的 |
transcript.whisperx[170].start |
5504.455 |
transcript.whisperx[170].end |
5504.795 |
transcript.whisperx[170].text |
接下來我們請任務委員請做詢答 |
transcript.whisperx[171].start |
5536.527 |
transcript.whisperx[171].end |
5540.775 |
transcript.whisperx[171].text |
好謝謝主席請留主委我們再請留主委 |
transcript.whisperx[172].start |
5546.826 |
transcript.whisperx[172].end |
5568.456 |
transcript.whisperx[172].text |
主委好 主委委員長首先先請教一下 因為立法院的職員刑事法跟刑法修正通過了那我先問一下 這個還是要請主委誠實來回答會不會擔心一些相關的包括一些企業或外商會不會擔心一些機密的一些外洩的問題 如果被立法院調來問的話 會不會 |
transcript.whisperx[173].start |
5571.668 |
transcript.whisperx[173].end |
5598.393 |
transcript.whisperx[173].text |
這個部分是我也有責任要去溝通那之前是有一些人是有電話跟我聯絡因為主要是媒體的訊息不夠完整所以大家對於這個訊息不夠完整的過程中產生了非常多的擔心跟這個影響那的確從條文來看的話它的確會有模糊的空間那我們可能要去多溝通之外當然如果院這邊有一個比較實時細則的話 |
transcript.whisperx[174].start |
5599.993 |
transcript.whisperx[174].end |
5619.54 |
transcript.whisperx[174].text |
他裡面很多都是很模糊的啦,包括可以被調來,包括所有東西,包括那個,那一旦被調來的話,其實他要求你提供資料,其實你也很難去界定到底什麼是能提供,什麼是不能提供,但是你不能提供的時候,其實就面對到相當的壓力。我問的是,因為你來自產業界,也有個待在外商公司待過,他們會不會擔心?他們會不會擔心? |
transcript.whisperx[175].start |
5622.362 |
transcript.whisperx[175].end |
5643.416 |
transcript.whisperx[175].text |
實話實說即可我只問了少數的啦 那有人是主動打電話給我 他是比較擔心啦 但是我個人的問題我問你一下 如果他們 那另外是他們來的話 會擔心嘛 包括一些機密外線甚至擔心被罰款嘛 對不對 如果沒有照實的來講的話對 因為他們有內部營業秘密的問題啦 他講了就會被開除嘛 |
transcript.whisperx[176].start |
5643.996 |
transcript.whisperx[176].end |
5644.436 |
transcript.whisperx[176].text |
你怎麼溝通?你怎麼溝通? |
transcript.whisperx[177].start |
5670.663 |
transcript.whisperx[177].end |
5694.677 |
transcript.whisperx[177].text |
我這邊可能會是告訴他就是我們如果遇到的困難的時候我們會盡量來幫忙協調然後第二個釐清當法律定的這樣這麼模糊而沒有一個明確的概念的時候任何都可能企業被調來或者是都有可能被調來的時候不好意思這個我們同仁有另外一個條文涉及營業秘密的部分他是可以那怎麼去做一個界定 |
transcript.whisperx[178].start |
5695.097 |
transcript.whisperx[178].end |
5695.938 |
transcript.whisperx[178].text |
對,我有跟我太太講要有心理準備 |
transcript.whisperx[179].start |
5724.281 |
transcript.whisperx[179].end |
5738.997 |
transcript.whisperx[179].text |
所以我說那不只你而也包括你的處長甚至你的科長科員都可能被叫上來他們問的立委問的問題如果認為你是虛偽陳述你認為你是誠實作答你如果認為你是虛偽陳述的話你有可能就被視為是藐視國會 |
transcript.whisperx[180].start |
5741.159 |
transcript.whisperx[180].end |
5759.017 |
transcript.whisperx[180].text |
這樣不會產生讓很多優秀的公務同仁在來到立法院示立法院為衛徒嗎?讓很多優秀人員是不是會擔心呢?我說這樣的法台灣是有一個完整的質詢制度的我相信99.9%的人沒有人敢輕易的對立委講的話有太多的這個挑戰跟質疑的 |
transcript.whisperx[181].start |
5760.239 |
transcript.whisperx[181].end |
5782.862 |
transcript.whisperx[181].text |
連立委都還可以叫官員直接叫他說叫你上來然後我的就是直接叫你你下去這樣子立委可以用這樣的方式對待官員的都不會被判所謂的藐視國會罪那官員我認為我看過99.9%的都不會你為了要去修理少數一兩位政務官然後把所有的公務員都抓進來我認為這個是會傷害到整個國家的體制的主委認同這樣的看法嗎 |
transcript.whisperx[182].start |
5785.314 |
transcript.whisperx[182].end |
5811.224 |
transcript.whisperx[182].text |
我有義務去化解我們同仁的疑慮啦那我們會法制制我們會把整個條文再看得仔細一點因為之前比較來自媒體現在通過了我們會內部會有一個要不斷的去保護同仁讓同仁有信心的能夠在自己的公職上來幫助台灣繼續往前走同時間也要去跟外界去做溝通啦有些確實會愉悅到的部分將來因為行政委員會再提 |
transcript.whisperx[183].start |
5812.145 |
transcript.whisperx[183].end |
5831.128 |
transcript.whisperx[183].text |
復議回來包括事件也都在提我們希望這樣的法會重新再去這個調整甚至於重新那個我們希望建立一個是長久的穩定的一個制度而不是一個我還是要強調台灣的立法院是有執行權的執行權其實就對於官員造成相當大的壓力我不認為立委對官員沒有辦法 |
transcript.whisperx[184].start |
5831.488 |
transcript.whisperx[184].end |
5847.67 |
transcript.whisperx[184].text |
我舉個例就好啦當年韓國瑜在選市長的時候不斷講說我選上市長我一定會查到很多的弊案幾大弊案幾大弊案上任擔任一年市長的任內查完全部查完之後沒有弊案沒有任何的弊案連送檢調都沒有連送什麼都沒有 |
transcript.whisperx[185].start |
5848.75 |
transcript.whisperx[185].end |
5860.955 |
transcript.whisperx[185].text |
這就是用口頭想像的那個你還是對司法的部分還是至少他的基本的一個權益的部分我們至少對司法還是要基本的一個尊重如果連這個東西能夠去逾越的時候我認為整個體制會整個混亂掉 |
transcript.whisperx[186].start |
5862.878 |
transcript.whisperx[186].end |
5891.406 |
transcript.whisperx[186].text |
好,我回來因為時間非常有限啦,再要請教一下啦,非核家園其實是臺灣追求的一個長遠的一個目標啦,也是院長再次的提醒那其實在未來我們講的R1-100的部分,其實也把核能它其實不視為再生能源啦那所以核能還有很多的包括這個核廢料的處理每個縣市裡面有人要核廢料,包括臺北市自己都不要核廢料新北市也不要核廢料,那包括核安的部分其實有很多的包括執照,包括安全的問題都要解決 |
transcript.whisperx[187].start |
5892.526 |
transcript.whisperx[187].end |
5908.937 |
transcript.whisperx[187].text |
主委怎麼看?其實核電還有很多程序要去做處理,主委怎麼看?核電那個媒體那個是有一點不是我的原意喔那我現在我的看法是很簡單的喔,其實我從企業的角度看那企業要的是一個安全穩定足夠的電源 |
transcript.whisperx[188].start |
5909.958 |
transcript.whisperx[188].end |
5931.42 |
transcript.whisperx[188].text |
目前臺電告訴我的是合電必須依法準時關掉,所以我們沒有理由去思考這件事,那得去思考電夠不夠,目前臺電的回復是電足夠的。我們也請他考慮到AI的變化,他也會放進來,他們現在也修正上調需求。 |
transcript.whisperx[189].start |
5940.127 |
transcript.whisperx[189].end |
5954.1 |
transcript.whisperx[189].text |
台灣最近齁 因為我也講過很多次燃煤大家不要嘛齁 核電當然有些疑慮上面啦 燃煤大家不要因為會空污影響嘛 那燃氣也持續在增加 高雄最近包括興達 這個包括大陵都還持續在增加電廠 全台灣 |
transcript.whisperx[190].start |
5955.401 |
transcript.whisperx[190].end |
5956.322 |
transcript.whisperx[190].text |
我們現在也在做碳捕捉也在做藍綠軍的推動 |
transcript.whisperx[191].start |
5983.204 |
transcript.whisperx[191].end |
6007.598 |
transcript.whisperx[191].text |
所以這些都是未來要發展的一些方向那因為核電還有很多的程序上的處理包括我剛剛講到核飛、核安甚至法令相關的部分都要做處理所以我覺得這一塊包括人民對這一塊也還有很多的疑慮我是覺得這一塊要妥善的思考跟妥善的溝通之後我認為這個才是一個那目前的部分電力確實即使有一些跳電等等的一些問題但是看來都是比較 |
transcript.whisperx[192].start |
6008.359 |
transcript.whisperx[192].end |
6008.68 |
transcript.whisperx[192].text |
是是 |
transcript.whisperx[193].start |
6020.612 |
transcript.whisperx[193].end |
6040.667 |
transcript.whisperx[193].text |
另外我要講的,剛剛講到的南北的部分其實有一個AI產業的生態系包括高雄現在整個在推動5G IoT包括智慧科技創新園區AI的聚落其實也不斷的在往這邊來推動其實也產生很好的一些效果 |
transcript.whisperx[194].start |
6042.128 |
transcript.whisperx[194].end |
6060.69 |
transcript.whisperx[194].text |
包括很重要的電力的部分,高雄持續在增加電力,即使我們有5成的電力是往中往北送,我們還在蓋新的電廠就是在支撐這些半導體產業鏈,支撐這些AI的產業鏈,我們希望主委持續支持高雄,不要讓高雄只有重工業,不要讓高雄只有 |
transcript.whisperx[195].start |
6061.27 |
transcript.whisperx[195].end |
6062.091 |
transcript.whisperx[195].text |
是的 是的 |
transcript.whisperx[196].start |
6082.148 |
transcript.whisperx[196].end |
6099.656 |
transcript.whisperx[196].text |
主委支持嗎?支持啦,速發部明天今天下午會來找我AI的部分在高雄已經開始產生聚落了包括亞灣新創園包括高覽二期等等全部在推動了所以整個包括現在的整個都在亞灣快速的來推動我也希望 |
transcript.whisperx[197].start |
6100.416 |
transcript.whisperx[197].end |
6118.859 |
transcript.whisperx[197].text |
主委,全力來支持AI的整個產業鏈,半導體產業鏈、AI相關的產業鏈,全力的在高雄來深耕發展。讓南北,中委不反對的,至少在這樣的狀況下的時候能夠有很好,因為南部其實已經有很好的一些,不管是生活機能、大眾運輸或者人才的部分其實都具備了。 |
transcript.whisperx[198].start |
6119.36 |
transcript.whisperx[198].end |
6139.189 |
transcript.whisperx[198].text |
﹚ |
transcript.whisperx[199].start |
6139.549 |
transcript.whisperx[199].end |
6139.569 |
transcript.whisperx[199].text |
謝謝委員 |
transcript.whisperx[200].start |
6156.067 |
transcript.whisperx[200].end |
6156.367 |
transcript.whisperx[200].text |
委員會主席 |
transcript.whisperx[201].start |
6176.778 |
transcript.whisperx[201].end |
6195.569 |
transcript.whisperx[201].text |
最歡喜你來做主委就是因為你是產業界是真的專業很多的政治話術點到為止就好了我們還是民眾希望以民為本是真正的專業你的特長 謝謝接下來我們請鄭天才委員請做巡討 |
transcript.whisperx[202].start |
6207.464 |
transcript.whisperx[202].end |
6234.186 |
transcript.whisperx[202].text |
主席、國會委員、有請主任委員我們再請主委主委好還不是很熟悉的資訊或是條文就是說我回去再好好看我們立法院執權行使法三讀通過 |
transcript.whisperx[203].start |
6235.711 |
transcript.whisperx[203].end |
6237.793 |
transcript.whisperx[203].text |
第15條 立法院為有效行使憲法所賦予之職權 |
transcript.whisperx[204].start |
6258.341 |
transcript.whisperx[204].end |
6270.292 |
transcript.whisperx[204].text |
然後經過行議法院院會的結議設調查委員會或是委員會的結議設專案小組然後調查委員或調查專案小組 |
transcript.whisperx[205].start |
6272.335 |
transcript.whisperx[205].end |
6297.137 |
transcript.whisperx[205].text |
得要求有關機關或特定案件事項提供參考的資料要求有關人員出席他有一定的程序有一定的條件而是要立法院有關的職遣憲法而且是這樣憲法賦予的職遣不是隨便可以一定是跟有關商郭傑的可能性 |
transcript.whisperx[206].start |
6298.078 |
transcript.whisperx[206].end |
6325.836 |
transcript.whisperx[206].text |
的彩會:台積電沒有:剛才有委員提的那些案例不會有:就沒有:所以立法院行使調查前:不得一夜調查的目的事項與範圍還要尊重相關的這些規定:所以他都有一些非常明確的:而且:主委這些條文不是國民黨民眾黨所創的: |
transcript.whisperx[207].start |
6328.547 |
transcript.whisperx[207].end |
6355.773 |
transcript.whisperx[207].text |
早期的我們的顧立雄國防部部長也提過現在的外交部部長林佳龍他也提過所以這個部分我知道主委已經一定沒有時間看這個啦所以不要輕易的回應啦我們回去再好好看向西委陳述向西委陳述 |
transcript.whisperx[208].start |
6357.052 |
transcript.whisperx[208].end |
6369.604 |
transcript.whisperx[208].text |
我先談這個了。調查委員或調查專案小組為行使調查權得要求朝政府機關部隊法人 這個條文是尤梅尼委員、林佳龍委員過去的條文 |
transcript.whisperx[209].start |
6370.749 |
transcript.whisperx[209].end |
6389.603 |
transcript.whisperx[209].text |
所以這個部分他都有一個非常嚴謹的不會隨便侵犯到人民的權利如果侵犯到人民的權利他也可以提出相關的另外一個相關的途徑所以這個都有另外就是 |
transcript.whisperx[210].start |
6390.848 |
transcript.whisperx[210].end |
6408.617 |
transcript.whisperx[210].text |
特別提到剛才賴委員提到稀微陳述稀微陳述在我們的中華民國刑法裡面就有什麼叫稀微陳述公務員本來就不能稀微陳述我相信我們的公務員都不會我是30年的公務員 |
transcript.whisperx[211].start |
6410.757 |
transcript.whisperx[211].end |
6433.604 |
transcript.whisperx[211].text |
來到立法院也很多為第4屆了我們的公務員99%甚至100%都不會稀微陳述只有極少數的政務官也很少啦所以會不會碰到這種事情也真的很少然後促進轉型正義條例也有啊對機關團體啊 |
transcript.whisperx[212].start |
6437.826 |
transcript.whisperx[212].end |
6453.152 |
transcript.whisperx[212].text |
對像那個救國團啊﹖對不對﹖一樣可以啊﹖所以都有啊﹖也不能稀微陳述啊﹖這是對人民都有啊﹖促進轉型這條例有啊﹖我們當初也沒有說怎麼樣啊﹖所以這個部分 |
transcript.whisperx[213].start |
6454.721 |
transcript.whisperx[213].end |
6456.642 |
transcript.whisperx[213].text |
我們就是要去避免尤其是我們的總統 |
transcript.whisperx[214].start |
6482.26 |
transcript.whisperx[214].end |
6504.931 |
transcript.whisperx[214].text |
你沒有機會,我們是很少有機會幾乎沒有機會碰到總統了你這個國會主委有機會碰到總統就要告訴他要避免台灣,要避免戰爭,要和平所以一個就職典禮的演說也是很重要的所以不只是美中,我們不要陷入這個美中競爭的地緣政治 |
transcript.whisperx[215].start |
6506.262 |
transcript.whisperx[215].end |
6519.835 |
transcript.whisperx[215].text |
這個是最重要是我們自己很重要的然後國會的報告裏面若使總統人民做主開放政府的政見所以這個部分這裏面你提到原住民主數不平等確實 |
transcript.whisperx[216].start |
6521.482 |
transcript.whisperx[216].end |
6540.05 |
transcript.whisperx[216].text |
原住民組數位不平等需要去協調NCC協調國那個速發部未來原住民有關相關的這些中長城計畫的時候也是請給支持這裡面提到因為時間的關係我就把一些重點跟原住民比較有關係的 |
transcript.whisperx[217].start |
6541.531 |
transcript.whisperx[217].end |
6565.703 |
transcript.whisperx[217].text |
完成所作國家檔案館的建設因為我過去從臺灣省政府服務過在臺灣省政府服務過很多的機關法規會、社會處、省府的秘書處到原住民行政的部門我也常常我到中央人民會服務也將近10年 |
transcript.whisperx[218].start |
6566.974 |
transcript.whisperx[218].end |
6591.813 |
transcript.whisperx[218].text |
那現在因為過去的檔案啊 原住民專責的行政單位後來才成立很多在民政廳 那很多在這其他的廳處 所以省政府的這些檔案我曾經去你們的檔案 你們現在檔案擠嘛我去了這個新莊檔案擠去調資料 有的調得到 有的調不到 |
transcript.whisperx[219].start |
6592.928 |
transcript.whisperx[219].end |
6609.735 |
transcript.whisperx[219].text |
所以這個部分這是一個非常珍貴的一個檔案資料所以我要請這個這個主委尤其是局長把原住民主的相關的這些重要的檔案能夠把它好好地整理那個有個專檔有一個專檔 |
transcript.whisperx[220].start |
6612.406 |
transcript.whisperx[220].end |
6640.623 |
transcript.whisperx[220].text |
而不是這樣找的會比較方便所以這個部分也請這個既然要成立就把它好好的不是只有一個大樓啦更重要的是裡面的資料還有哪裡呢?省議會過去政治的中心尤其是原住民的部分是在很多都在省議會的資料裡面過去省支議會還在的時候現在沒有省支議會了法律上還有啦 |
transcript.whisperx[221].start |
6641.887 |
transcript.whisperx[221].end |
6663.343 |
transcript.whisperx[221].text |
省執議會當初有曾經整理過﹖所以可能還沒有完成﹖所以繼續的來處理﹖可以嗎﹖可以。這個這裡面我剛講過了另外就是說這個綜合發展就是花東基金的花東基金這個綜合發展實施方案 |
transcript.whisperx[222].start |
6664.926 |
transcript.whisperx[222].end |
6691.251 |
transcript.whisperx[222].text |
花東第7發展條例是民國100年立法院三度通過民國101年開始有花東基金101年到現在已經十幾年了然後還是現在都還是一樣4年一起4年一起還是40億所以這個如果按照物價指數各方面應該調整應該調高 |
transcript.whisperx[223].start |
6694.758 |
transcript.whisperx[223].end |
6702.422 |
transcript.whisperx[223].text |
而且是可以按照現在的規定就可以滾動檢討但是這個額度應該要做調高所以這個部分也請這個滾動檢討相關的這些確實是有需要因為這個10年前就是40億 |
transcript.whisperx[224].start |
6718.227 |
transcript.whisperx[224].end |
6718.768 |
transcript.whisperx[224].text |
接下來我們請張家俊委員請做詢談 |
transcript.whisperx[225].start |
6747.808 |
transcript.whisperx[225].end |
6773.755 |
transcript.whisperx[225].text |
主席我想請主委我們再請主委劉主委您從業界出生與傳統的政治人物不同請問您在擔任國發會主委後您說您會重新讓大國發回來本期想了解您所期許的大國發會是要具備哪些功能或說什麼樣才叫做大國花費呢 |
transcript.whisperx[226].start |
6775.423 |
transcript.whisperx[226].end |
6797.613 |
transcript.whisperx[226].text |
我希望我們的團隊是具備主導性能夠為國家規劃一個比較好的未來所以我們在以經濟來講我們過去是發布經濟的報告但是我現在是帶著團隊我們進行數據的分析去找到裡面可以改善的空間所以然後我們來讓他的整個經濟成長能夠在控制範圍內 |
transcript.whisperx[227].start |
6798.433 |
transcript.whisperx[227].end |
6821.592 |
transcript.whisperx[227].text |
其實我們過去就是國發會是等於是一個小內閣那最簡單的看法每一次的這個委員會法定的出席名單應該是各部會的部長但國發會成立之後幾乎都是由次長甚至是署長來代替開會不曉得主委會不會希望以後來開會盡量還是由各部的部長親自來呢? |
transcript.whisperx[228].start |
6823.158 |
transcript.whisperx[228].end |
6830.324 |
transcript.whisperx[228].text |
是的 這個院長已經有指示了會議要求各部的部長親自參加是 你看上一次的會議記錄 |
transcript.whisperx[229].start |
6831.755 |
transcript.whisperx[229].end |
6832.416 |
transcript.whisperx[229].text |
是的,因為院長已經支持了 |
transcript.whisperx[230].start |
6860.301 |
transcript.whisperx[230].end |
6860.641 |
transcript.whisperx[230].text |
國會無法.針對有 |
transcript.whisperx[231].start |
6875.294 |
transcript.whisperx[231].end |
6902.17 |
transcript.whisperx[231].text |
心虛有可能會說謊的官員像您這樣子認真的官員是不會受到影響的你知道嗎這國會無法是在讓行政院更透明化而且呢甚至行政院做得好我們也是給他拍拍手鼓勵啊這是一個預防性的措施而不是要拿來破壞政府官員或者是跟任何民間企業跟人民都無關您了解嗎 |
transcript.whisperx[232].start |
6903.833 |
transcript.whisperx[232].end |
6926.384 |
transcript.whisperx[232].text |
謝謝委員開導您個人認為擔任國發會主委後您優先推動的政策或者是最大的政策目標是什麼?我們最大的目標就是第一個是產業我們希望讓經濟更好第二個是均衡我們希望讓台灣能夠各地發展是均衡的包括產業 |
transcript.whisperx[233].start |
6928.018 |
transcript.whisperx[233].end |
6929.159 |
transcript.whisperx[233].text |
每年增加多少電力需求?主委瞭解嗎? |
transcript.whisperx[234].start |
6947.45 |
transcript.whisperx[234].end |
6965.746 |
transcript.whisperx[234].text |
電力需求依據台電的評估他把他整個整體需求目前把AI算進來是每一年整個台灣會有3%的增加是那如果每年成長3%10年就是30%而我們的核一、核二都已經除異了主委知道下一座要除異的機組是什麼時候要除異嗎? |
transcript.whisperx[235].start |
6969.214 |
transcript.whisperx[235].end |
6993.974 |
transcript.whisperx[235].text |
應該是2025年沒有是這個今年今年的7月今年的7月27號我們和珊的第一座居住就要除役了那所以不到兩個月以後就要停止商轉再過一年明年的5月17號和珊的二號機也要停止商轉到那個時候我們所有核能機組就已經完全停止運轉 |
transcript.whisperx[236].start |
6994.935 |
transcript.whisperx[236].end |
7013.307 |
transcript.whisperx[236].text |
那所以呢合三除一之後大約會有6%至7%的電力缺口請問主委對我們現在臺灣的電力供給有信心嗎目前來講是有信心因為兩個因素第一個他備載有16%第二個因素是我我針對這一點有跟臺電再三確認那他有他的計劃在增加機組 |
transcript.whisperx[237].start |
7020.149 |
transcript.whisperx[237].end |
7037.083 |
transcript.whisperx[237].text |
我建議主委,針對台灣電力的實際狀況你一定要用心去了解否則您說的口號就會真的變成口號而且會變成空談你說台積電甚至AI這一些說每年還要增加3%的用電量 |
transcript.whisperx[238].start |
7038.144 |
transcript.whisperx[238].end |
7038.324 |
transcript.whisperx[238].text |
我去查明 |
transcript.whisperx[239].start |
7067.512 |
transcript.whisperx[239].end |
7073.864 |
transcript.whisperx[239].text |
四千零一億你知道四千零一億可以再多蓋一座核電廠嗎?知道嗎?呃...應該是...呃...我不曉得核電廠的... |
transcript.whisperx[240].start |
7080.043 |
transcript.whisperx[240].end |
7082.505 |
transcript.whisperx[240].text |
我是沒有反對不是支持這一定要講清楚就是我們對企業來講我們要的是有安全穩定的供電 |
transcript.whisperx[241].start |
7103.843 |
transcript.whisperx[241].end |
7104.304 |
transcript.whisperx[241].text |
我覺得你被騙了 |
transcript.whisperx[242].start |
7124.776 |
transcript.whisperx[242].end |
7140.623 |
transcript.whisperx[242].text |
你也要求他們不准騙你你不准騙我們,他也不准騙你知道嗎?回去要好好的查明這件事情到底他們有什麼依據覺得說他們覺得有信心、電力充足我覺得這一點你一定要追根究柢那另外呢我是 |
transcript.whisperx[243].start |
7141.283 |
transcript.whisperx[243].end |
7159.772 |
transcript.whisperx[243].text |
本席其實是支持您抱持著不排斥的看法我覺得這是相當理性務實的看法那我們的院長行政院卓院長他就說永不放棄追求非核家園雖然您先前稱讚我們的行政院長是非常有理想的但這個想法顯然跟你的想法跟你的規劃有所衝突 |
transcript.whisperx[244].start |
7164.474 |
transcript.whisperx[244].end |
7188.951 |
transcript.whisperx[244].text |
主委你是不是應該拿起要喚醒大國發會這樣子的氣魄去勸一下行政院長用更務實、更理性的態度來看待核能呢?我的看法是氫能源可以發展起來非核家園是做得到的那我們也不需要在這種事情上面去打轉因為人民要的是一個乾淨的電那氫能源可以提供乾淨的電加上風力等等 |
transcript.whisperx[245].start |
7189.511 |
transcript.whisperx[245].end |
7192.553 |
transcript.whisperx[245].text |
所以我們應該去努力你如果再說到那個新能源的部分你知道那還要多少年才跟得上嗎我覺得你這樣子是不是有一點點太過夢幻的心情啊主席我想要發表就是說 |
transcript.whisperx[246].start |
7207.982 |
transcript.whisperx[246].end |
7216.446 |
transcript.whisperx[246].text |
這個核能要回歸理性專業對國家最有利的方式而不是因為有人絕食或是寫在黨章裡面就成為不可碰觸或者不可討論的禁忌主委你要拿起你在產業的這些實戰經驗好好地來對行政院要求說我們一定要為了產業發展 |
transcript.whisperx[247].start |
7230.632 |
transcript.whisperx[247].end |
7246.163 |
transcript.whisperx[247].text |
要有充足的電力不要再把核能當作是不可碰觸的禁忌了那接下來本席問就是說國防會的主委需要堅定很多法定的職務請問你自己了解有哪幾個重要的法定職務嗎? |
transcript.whisperx[248].start |
7248.666 |
transcript.whisperx[248].end |
7264.107 |
transcript.whisperx[248].text |
重要的法令職務我目前參與到的是花東離島條例其他的我可能還要再一點時間去瞭解您同時也是政委因為組織法明定政委兼主委然後也是國發基金的召集人 |
transcript.whisperx[249].start |
7264.608 |
transcript.whisperx[249].end |
7282.225 |
transcript.whisperx[249].text |
那國發基金的代表人就是您作為國發基金就是代表人臺積電最大的股東擁有一席的董事席次那過去慣例這個位置都是由主委擔任那臺積電今年4月才公佈新任的這個名單是董明星主委 |
transcript.whisperx[250].start |
7282.625 |
transcript.whisperx[250].end |
7288.427 |
transcript.whisperx[250].text |
那6月4日的董事選舉能會由董明星秘書長來擔任國發會的基金代表擔任台積電的董事還是會換陳寧?我們會更換到我會更換到你嗎?所以這是確定的那我在這裡也向這個台積電的董事來建議就是說我們雲林縣湖北中科園區已經通過了台塘土地的陳珠而且呢 |
transcript.whisperx[251].start |
7311.496 |
transcript.whisperx[251].end |
7330.663 |
transcript.whisperx[251].text |
也用水用電的同意函都已經具備甚至從湖尾土庫寶中東勢串起來高達1600公頃的這個台湯土地用水用電用地都市市都具備希望主委可以建議台積電能夠則子能夠順利的來選定湖尾作為他擴廠的基地是的我會找機會表達謝謝主委 |
transcript.whisperx[252].start |
7341.408 |
transcript.whisperx[252].end |
7359.76 |
transcript.whisperx[252].text |
好 謝謝接下來我們請陳昌明委員請做詢答陳昌明委員詢答結束 我們休息三分鐘 謝謝首先要請劉竹偉我們再請劉竹偉陳委員長 |
transcript.whisperx[253].start |
7371.158 |
transcript.whisperx[253].end |
7400.429 |
transcript.whisperx[253].text |
好,劉哲瑋好劉哲瑋你從企業界來到政府的機關而且來到重要的內閣單位那我剛剛聽了大國發會的時代要回來了因為我們的賴總統有特別指示以後參加國發會部長都要參加你手指示了各部門的討論這個非常重要你一定要堅持下來 |
transcript.whisperx[254].start |
7404.254 |
transcript.whisperx[254].end |
7421.766 |
transcript.whisperx[254].text |
是的,謝謝委員不是謝謝我,要堅持,要做事情那你是從資層管理顧問公司過來的那我看了天下雜誌的一篇報導他說你常常看到別人看不到的問題大家稱讚你 |
transcript.whisperx[255].start |
7422.899 |
transcript.whisperx[255].end |
7449.27 |
transcript.whisperx[255].text |
支持會計事務所跟支持管理顧問公司可以說是在國際上是有名的一種聯手的會計事務當然看的層面非常多那今天我要請教你一個問題你說答應日格的一個主要原因是我對下一代感到憂心忡忡你為什麼會對下一代感到憂心忡忡 |
transcript.whisperx[256].start |
7451.039 |
transcript.whisperx[256].end |
7475.932 |
transcript.whisperx[256].text |
從民進黨執政八年那總統都把年輕人帶來非常有希望結果臺灣的青年非常優秀那你怎麼感到臺灣的下一代憂心忡忡你告訴我一點企業界要講實話不要像政治人物這樣講來講去那邊一套這邊一套來你跟我講為什麼你對下一代憂心忡忡 |
transcript.whisperx[257].start |
7477.366 |
transcript.whisperx[257].end |
7479.548 |
transcript.whisperx[257].text |
你也碰到很多我們下一代的問題 |
transcript.whisperx[258].start |
7506.349 |
transcript.whisperx[258].end |
7535.45 |
transcript.whisperx[258].text |
今天你站這個位置不敢講出來我為什麼特別提醒你這一句話下一代你憂心忡忡國安會執委講師這一代表示我對我們臺灣的整體環境非常擔憂這第一點我要提醒你政治現在已經示威不分了企業是以利潤為基礎經營管理支持政治是以選票為基礎你先要認清楚這一點第二點 |
transcript.whisperx[259].start |
7536.837 |
transcript.whisperx[259].end |
7565.167 |
transcript.whisperx[259].text |
你自己講說在業界打滾已經有具備我們產業的實務跟前瞻其視的條件那標題幫你寫成這樣你要把自己變成聯誼推動公部門的平靜池水你又講到你太太是高層公務文官出身了說我們文官裡面的人才非常多水準非常高 |
transcript.whisperx[260].start |
7566.366 |
transcript.whisperx[260].end |
7582.82 |
transcript.whisperx[260].text |
你怎麼說你進來要變成一個連儀把公務機關攪動它平靜的池水因為你手中我有重要事業要好好改善我認同你的觀點但是你站在這我愛跟你講一些事情你這句禪事給我聽 |
transcript.whisperx[261].start |
7590.003 |
transcript.whisperx[261].end |
7615.012 |
transcript.whisperx[261].text |
我是沒有看那篇報導啦我不知道他為什麼這樣寫喔但是從我過去每換一個職務的話我都希望這個職務跟過去不一樣那我們都希望去更進化嘛你這麼重要的人物他喜歡搞一定要給你公務阿媒體不會給你公務阿天下雜誌也不是媒體天下雜誌也不是隨隨便便的雜誌我現在跟職位講好好提拔你國發會的人才 |
transcript.whisperx[262].start |
7617.114 |
transcript.whisperx[262].end |
7631.369 |
transcript.whisperx[262].text |
這幾年他被壓制了很慘他們多做做錯多錯少做少錯他們已經不願意發言你上級指示我才來做你要了解他們心態大家都很優秀 |
transcript.whisperx[263].start |
7632.31 |
transcript.whisperx[263].end |
7655.972 |
transcript.whisperx[263].text |
但是大家都想為臺灣為這個國家建立一份的心理但是政治把他們搞得無所適同我相信在下的官員你們心有戚戚焉啊我都瞭解都談過我只要說你為企業幹的執行官就是歐元首所有大概瞭解你的觀念這裡面好好提拔優秀的人才 |
transcript.whisperx[264].start |
7657.589 |
transcript.whisperx[264].end |
7660.271 |
transcript.whisperx[264].text |
你再來談到賴總統所以我兩次跟你見面 |
transcript.whisperx[265].start |
7680.706 |
transcript.whisperx[265].end |
7691.904 |
transcript.whisperx[265].text |
在內閣會議要你開處方說我們不但要有頂線我們要全面你為我們國家經濟的發展你處方要如何開 |
transcript.whisperx[266].start |
7697.386 |
transcript.whisperx[266].end |
7711.597 |
transcript.whisperx[266].text |
這個處方我們現在就是在我剛剛的報告有特別提到了第一個我們要拉成長的核心主軸那我們現在拉兩個核心主軸是半導體跟AI那第二個部分我們從我們在台灣戰事戰略超過12%的15的企業裡面產業撈出來我們現在挑了6個產業 |
transcript.whisperx[267].start |
7717.841 |
transcript.whisperx[267].end |
7735.981 |
transcript.whisperx[267].text |
. |
transcript.whisperx[268].start |
7736.101 |
transcript.whisperx[268].end |
7746.872 |
transcript.whisperx[268].text |
就是比較規模大的企業以後去讓臺灣得到更大的保障之外可以提供員工更好的薪水我有看到裡面在談你說臺灣的晶圓製造、封裝測試包括冷的這邊已經佔了整個世界60幾% |
transcript.whisperx[269].start |
7753.869 |
transcript.whisperx[269].end |
7769.893 |
transcript.whisperx[269].text |
機械製造業占的是台灣的電子產業裏面你說要發展AI的一個設計能力現在24%占全世界可以寬鬆48%這個比較快但是你要知道除了這你講的AI |
transcript.whisperx[270].start |
7775.655 |
transcript.whisperx[270].end |
7797.906 |
transcript.whisperx[270].text |
跟臺灣經營的製造業要持續維持一個領先的地位你知道現在其他的產業不怎麼好過因為你所接觸我不曉得你傳統產業、機械產業、一些的產業你有沒有深入了解現在大家都一汪汪追著趕會不會產生核燃病我請你特別注意這樣 |
transcript.whisperx[271].start |
7799.481 |
transcript.whisperx[271].end |
7808.271 |
transcript.whisperx[271].text |
是的 這個的確我這邊有在注意產業的均衡裡面我們有做過數據分析的確有不均衡的問題我們需要去改善看到你頭腦的思維是怎樣結果這點不錯 |
transcript.whisperx[272].start |
7816.977 |
transcript.whisperx[272].end |
7845.087 |
transcript.whisperx[272].text |
要站就要站世界的首要地位站了最起碼要30%你是在那邊這麼寫的啊?是的我講的你聽得清楚嗎?我聽得清楚我怕我國語不標準我聽得懂啦好最後一個問題那個主席你所有朋友跟你講說你當這個官叫做流水的官公務人員這些你手下叫做鐵塔的兵 |
transcript.whisperx[273].start |
7846.192 |
transcript.whisperx[273].end |
7867.831 |
transcript.whisperx[273].text |
我欣賞那一點大家都在捧台積電說他最棒最好其實我跟你講賺的錢都是外國人拿去我們只佔了24%但是你又講了一句話我欣賞你說啊台積電吸走我們台灣大量的人才和資源 |
transcript.whisperx[274].start |
7870.335 |
transcript.whisperx[274].end |
7896.334 |
transcript.whisperx[274].text |
業界怨書宰盜真的是怨書宰盜他薪水一高第一個抓蓮花客人到台積電蓮花客要抓其他產業的人到蓮花我都碰到但上一次我一直在講這問題大家馬爾東風只有有錢賺這個一直往前衝我不反對甚至我們也把人才設立的一個 |
transcript.whisperx[275].start |
7898.626 |
transcript.whisperx[275].end |
7900.149 |
transcript.whisperx[275].text |
是台灣維持命脈的一個方式還有一點我最不滿 |
transcript.whisperx[276].start |
7913.151 |
transcript.whisperx[276].end |
7938.597 |
transcript.whisperx[276].text |
我在立法院常常講我們高通的7億美金的罰款我們竟然用他來投資的名義把他弄掉結果他薪水特別高高通又把台積隊的人才拉到他那邊去7億裡面的設備我們台灣人都用不到7億美金咧咱台灣的政府不給我們這個 |
transcript.whisperx[277].start |
7940.219 |
transcript.whisperx[277].end |
7954.254 |
transcript.whisperx[277].text |
不給家農領以外人我就不知道說到什麼時候還怕美國你這個好好瞭解一下你產業界出身的你跟高通那7億錢台灣到底得到什麼能有貢獻出來 |
transcript.whisperx[278].start |
7956.016 |
transcript.whisperx[278].end |
7978.574 |
transcript.whisperx[278].text |
把滑板變成他的投資然若他去補貼薪水非常高頂多若怕咱台灣的產業我不知道政策在哪裡我希望你7月就來了講實話官場還有很多那個不要怕做對的事情為台灣的事情做出正確的一條路要7月這麼想 |
transcript.whisperx[279].start |
7979.975 |
transcript.whisperx[279].end |
8008.415 |
transcript.whisperx[279].text |
我是把你整個我需要了解你的邏輯啊好好的發揮一下好不好我講的這樣聽得到嗎?聽得到謝謝到底是有還是沒有呢?有啦有啦有啦雖然那個無法通過但是我們都不會這樣那時候有一些太誇張的事情在裡面我們才這樣做但是你來好好做我們會支持國發會很重要規劃國家未來的發展及前景我希望你好好努力是謝謝委員好謝謝 |
transcript.whisperx[280].start |
8010.29 |
transcript.whisperx[280].end |
8010.47 |
transcript.whisperx[280].text |
主席 |
transcript.whisperx[281].start |
8049.749 |
transcript.whisperx[281].end |
8052.532 |
transcript.whisperx[281].text |
委員會主任委員會主席 |
transcript.whisperx[282].start |
8229.91 |
transcript.whisperx[282].end |
8250.663 |
transcript.whisperx[282].text |
為官員做好了沒有?好,現在我們繼續開會。我們請區住委委員執行。 |
transcript.whisperx[283].start |
8264.001 |
transcript.whisperx[283].end |
8266.892 |
transcript.whisperx[283].text |
謝謝主席是不是請國話會留主委 |
transcript.whisperx[284].start |
8276.517 |
transcript.whisperx[284].end |
8299.525 |
transcript.whisperx[284].text |
主委您好,因為您是國會主委也是行政院的政務委員是的你作為政務委員你督導包括經濟部包括相關的財經部門是的包括財政部、金管會大家都你督導那經濟部門底下也有台電所以對你相關的發言雖然你個人說這個你不排斥核電 |
transcript.whisperx[285].start |
8301.649 |
transcript.whisperx[285].end |
8312.876 |
transcript.whisperx[285].text |
你關心的次序應該是電夠不夠、低碳發電夠不夠、最後就是淨零所以這部分你不排斥核電是你個人意見 |
transcript.whisperx[286].start |
8314.446 |
transcript.whisperx[286].end |
8333.327 |
transcript.whisperx[286].text |
還是未來政策規劃的方向?我當時只是在表達這個就是我們願意接受公開的討論但是就我的了解就是現在就個人我當時跟總統談的2050的路徑裡面是沒有核能的 |
transcript.whisperx[287].start |
8334.128 |
transcript.whisperx[287].end |
8358.261 |
transcript.whisperx[287].text |
就是我在負責檢探這個部分是非核家園還是會要終極目標要實現他不僅是非常專業高度專業也是非常政治性這個議題所以您的發言當然我相信你的專業從產業界有你的看法但是你這個動見觀瞻你的一言一行因為你督導經濟部 |
transcript.whisperx[288].start |
8359.622 |
transcript.whisperx[288].end |
8360.503 |
transcript.whisperx[288].text |
是,這個我學到了 |
transcript.whisperx[289].start |
8380.785 |
transcript.whisperx[289].end |
8399.842 |
transcript.whisperx[289].text |
所以你不是主委而已,你是政委員,政委員你要協調各部會的政策那你知道你也說到這個未來綠青綠青有幾個階段,有灰青有藍青要綠青你說明年度你要投入這個去掉藍青的發電計畫是藍綠青藍綠青,事實上台電已經有了 |
transcript.whisperx[290].start |
8406.542 |
transcript.whisperx[290].end |
8415.887 |
transcript.whisperx[290].text |
昨年在新達電廠我們就用這個燃氣混清5%的這個示範電廠那今年2025大概就是發電這個計畫已經成熟終於有這個相關的成果那具體落實在新達電廠 |
transcript.whisperx[291].start |
8425.032 |
transcript.whisperx[291].end |
8442.675 |
transcript.whisperx[291].text |
是的那初步是混清5%再慢慢做一個示範如果成效好我們再繼續再推廣所以這個部分當然我希望說未來綠清可成為一個主要的發言方式但是這個部分還有待科學上更多的克服 |
transcript.whisperx[292].start |
8443.7 |
transcript.whisperx[292].end |
8444.3 |
transcript.whisperx[292].text |
新經濟移民法 |
transcript.whisperx[293].start |
8471.357 |
transcript.whisperx[293].end |
8487.904 |
transcript.whisperx[293].text |
我們總統賴總統在當行政院議長的時候曾經提出新經濟移民法也是在國會發會有一段時間成為國會發會主推的優先法案當時解決人才跟人力的雙缺口 |
transcript.whisperx[294].start |
8488.604 |
transcript.whisperx[294].end |
8488.624 |
transcript.whisperx[294].text |
〔記者註冊〕 |
transcript.whisperx[295].start |
8509.864 |
transcript.whisperx[295].end |
8537.46 |
transcript.whisperx[295].text |
現階段如果你現在當主委會不會把這個當時我們賴總統當行政院長所推的新濟民法重新來推動我覺得要整合一個好的法案而不是各部分各部會是各行其事那這個效果我覺得是事半功倍那如果有一個專法來整合各部會那由國會去主推您的看法怎麼樣 |
transcript.whisperx[296].start |
8540.227 |
transcript.whisperx[296].end |
8551.752 |
transcript.whisperx[296].text |
這個我們可以研究一下啦因為就我了解我們現在是有人才專法是讓高階的人才可以快速的移民進來我覺得是治標但不治本你要有一個專法 |
transcript.whisperx[297].start |
8552.722 |
transcript.whisperx[297].end |
8559.128 |
transcript.whisperx[297].text |
這是在總統當行政院長主推的這個優先法案那行政院長換人之後當然就有不同思考這個給你做參考那你不提我會來提 |
transcript.whisperx[298].start |
8573.692 |
transcript.whisperx[298].end |
8589.342 |
transcript.whisperx[298].text |
是我覺得要有一個專法來推動這個我們人才跟能力不足的問題來解決這個問題是那另外您有跟那個數化部這個黃部長AI的生態園區AI生態園區 |
transcript.whisperx[299].start |
8594.284 |
transcript.whisperx[299].end |
8620.286 |
transcript.whisperx[299].text |
北部要設立一個生態園區,南部要設立一個生態園區大概就是您跟蘇發部,蘇發部是您督導的嗎?不是沒關係,你用主委跟蘇發部黃部長趕快討論一下趕快把這個AI生態園區能夠落實,落實先把找一個點出來北部當然這個陳昌明可能他願意在陳昌明委員在苗栗可能有希望 |
transcript.whisperx[300].start |
8621.717 |
transcript.whisperx[300].end |
8626.222 |
transcript.whisperx[300].text |
南部的話我當然希望是在橋頭科學園區。橋頭科學園區是S廊帶的一個中心點。北有南科,中間有陸科,還有橋科,還有南子考驗園區。 |
transcript.whisperx[301].start |
8637.119 |
transcript.whisperx[301].end |
8662.337 |
transcript.whisperx[301].text |
所以你把AI生態園區設在橋頭園區我期待能夠把這個AI的這個園區因為我們條件都非常適合IC設計、晶圓製造、封裝測試什麼都在北高雄所以未來是不是可以考慮把這個AI生態園區把它設置在北高雄 |
transcript.whisperx[302].start |
8664.355 |
transcript.whisperx[302].end |
8690.38 |
transcript.whisperx[302].text |
我下午會跟黃部長開會我會轉達委員的意見來討論不是轉達你要深入研究我可以幫你做簡報我會給你做簡報因為這個所有條件我都非常清楚我可以做簡報讓你更清楚整個圖像整個條件然後你選擇出一個最好的一個地點所以北高雄是最好的一個點 |
transcript.whisperx[303].start |
8693.174 |
transcript.whisperx[303].end |
8715.294 |
transcript.whisperx[303].text |
那另外針對這個所得分配的狀況所得分配的狀況這個先講一下那個女性的勞參率因為勞參率這個你看比起其他國家香港、日本、南韓我們女性的勞參率是比較低的 |
transcript.whisperx[304].start |
8717.885 |
transcript.whisperx[304].end |
8745.382 |
transcript.whisperx[304].text |
中老年的淫髮族的勞參率也是偏低不管是中老年或者是青壯人口或者是女性的勞參率相對其他鄰近國家還低必須把這個原因找出來提出解決方案又一來鼓勵台灣女性的勞參率可以提高 |
transcript.whisperx[305].start |
8747.385 |
transcript.whisperx[305].end |
8770.447 |
transcript.whisperx[305].text |
謝謝主委 這個應該是列為你們這個工作計畫之一吧謝謝委員提醒我們會登這個題目去研究那另外就是說未來這個你的報告裡面有AI在臨床上就是說醫療服務的部分你AI在臨床上落地運用我看你的報告有提到這一點 |
transcript.whisperx[306].start |
8771.727 |
transcript.whisperx[306].end |
8800.054 |
transcript.whisperx[306].text |
所以你要怎麼樣確保這個醫療AI的安全跟效益這很重要所以你要這安全性效益你要先建置一個相對應的這個倫理準則因為你報告有提到這一點是的那這也是你好像上一次的報告裡面沒有提到這一點我發現你有這個想法你要怎麼樣突破醫療資料的這個使用的困境這裡面去思考這個問題你的想法是怎麼樣是同意 |
transcript.whisperx[307].start |
8802.14 |
transcript.whisperx[307].end |
8803.863 |
transcript.whisperx[307].text |
同意這個需要改善這個需要改善這個 |
transcript.whisperx[308].start |
8809.355 |
transcript.whisperx[308].end |
8835.851 |
transcript.whisperx[308].text |
我們現在是跟其實跟外務這邊現在正在主導一塊健康台灣的政策裡面數位醫療是放在裡面很重要的一項我同意我的觀點當然過來是好事我很開心但是你要有你的想法你要國發會國發會有你的主張有你的政策有你實行的這個時程這部分會來這是我的專業我會提出一些我們的看法 |
transcript.whisperx[309].start |
8837.454 |
transcript.whisperx[309].end |
8849.38 |
transcript.whisperx[309].text |
主席站起來後面還有委員要發言以後還有很多機會跟主委討論就是說您又是主委又是政委所以您的發言是動見觀瞻 |
transcript.whisperx[310].start |
8852.381 |
transcript.whisperx[310].end |
8880.39 |
transcript.whisperx[310].text |
被顯微鏡擴大來檢視,也有可能被放大鏡來把你的這個話無限上綱的延伸。所以這個要提醒您,謝謝。是,謝謝,謝謝委員。嗨,謝謝邱志維委員。那個指揮啊,南部的AI生態延期就設在邱志維的選區,我支持贊成。但是北部的話,要設在苗栗大溪谷計畫,我們苗栗延期好不好?你同意他也要同意我。 |
transcript.whisperx[311].start |
8884.693 |
transcript.whisperx[311].end |
8897.782 |
transcript.whisperx[311].text |
現在中嘉賓委員替代農美聯委員先請執行,現在請中嘉賓委員執行 |
transcript.whisperx[312].start |
8911.612 |
transcript.whisperx[312].end |
8920.358 |
transcript.whisperx[312].text |
感謝主席、謝謝委員先進、六位政府機關所長、官員、會長、工作夥伴、媒體機關女士先生有請我們劉主任委員 |
transcript.whisperx[313].start |
8928.946 |
transcript.whisperx[313].end |
8956.545 |
transcript.whisperx[313].text |
總委好主委好最近大家都要密切注意你的發言有關於我們的產業跟能源政策我的標題是我們臺灣這些跨足國際供應鏈的產業要靠綠能而且要善用臺灣的優勢佈局、輕能儲運好那在您的很多訪談當中呢強調AI時代算力及國力對不對是的好那您提到了三個重點齁如果未來預估用電需求會增加那我們要考慮的這三個問題是第一總用電的需求我們滿足對不對電夠不夠 |
transcript.whisperx[314].start |
8958.936 |
transcript.whisperx[314].end |
8983.279 |
transcript.whisperx[314].text |
第二個是低碳的電夠不夠以及如何減碳這才是重點是不是這樣是的好那再來才是我們2050的淨零目標那麼根據我們很紅的最近的合作童子賢董事長他說AI運算、電動車、晶片都需要大量電力所以電力也是國力你同意嗎同意但是他後面說的核能可以幫助綠能這個我就要來請教一下你的意見企業需要的是不是穩定供電 |
transcript.whisperx[315].start |
8984.58 |
transcript.whisperx[315].end |
9010.558 |
transcript.whisperx[315].text |
但是呢風光發電有供電的建設有間歇性所以企業對於供電有焦慮所以因此考慮核能就你了解是不是這個原因我先解釋一下核能現在是這樣子核能是一個低碳電但是核廢料要得到妥善的儲存才有機會去探討它是不是綠電但是以歐盟現在來看它還不被認為綠電目前歐盟合乎這個標準只有芬蘭 |
transcript.whisperx[316].start |
9011.138 |
transcript.whisperx[316].end |
9013.241 |
transcript.whisperx[316].text |
對,所以我們現在的不是綠電,那不在我的檢探範圍裡面是不是這樣的意思? |
transcript.whisperx[317].start |
9029.461 |
transcript.whisperx[317].end |
9050.776 |
transcript.whisperx[317].text |
在歐盟的話,這不是荷蘭,芬蘭這我可能要再理解一下,我之前聽到是歐盟到現在對核電能不能是綠電還是有,還在討論當中至少看起來好像勉強只有芬蘭,往下看所以他只是有機會,但機會是可能是5%,可能是50%,這個叫dependence那個討論的結果所以這要釐清,不然大家都以為歐盟認為呢,核能是,核電是綠電 |
transcript.whisperx[318].start |
9051.897 |
transcript.whisperx[318].end |
9078.725 |
transcript.whisperx[318].text |
那麼積極發展符合RE100的再生能源 這才是我們真正的重心 是不是這樣沒錯 企業的壓力在這裡RE100有沒有包括 它的再生能源總理有沒有包括核電目前是沒有 因為他沒有辦法 那目前我們再生能源的憑證能滿足業界的需求嗎我們現在正在評估 那目前我們 一些以我們最新的路徑來看還差一些些 那我們現在是準備這樣做 就第一個是做IREC 就是國際力電憑證 |
transcript.whisperx[319].start |
9080.365 |
transcript.whisperx[319].end |
9107.962 |
transcript.whisperx[319].text |
那第二個呢我們台電這邊也會加速在那個探捕桌地方的減碳還有汽車的減碳我們有一個路徑去往這條路走這些產業這個需求都是一些外銷的大產業嗎?國內的中小企業需不需要?中小企業有外銷的目前都有這個需求有需求嗎?所以總體來講需求一直在成長好往下看是的那我們看一下台積電台積電未來的佈局啊在台灣加重投資啊所以它3奈米的產能增加3倍它對綠電的需求是不是要增加很多?是的 |
transcript.whisperx[320].start |
9108.598 |
transcript.whisperx[320].end |
9115.266 |
transcript.whisperx[320].text |
有人在說目前臺灣1000度的綠電當中臺積電買掉9999啊民間中小企業只有搶得到一度綠電你覺得這樣說法客觀嗎?這個細節我可能還要再去理解啦但是大部分被人拿走了嘛現在應該 |
transcript.whisperx[321].start |
9128.214 |
transcript.whisperx[321].end |
9130.716 |
transcript.whisperx[321].text |
我的認知有些企業還是有買到他要的 |
transcript.whisperx[322].start |
9157.934 |
transcript.whisperx[322].end |
9181.156 |
transcript.whisperx[322].text |
是的好,那麼台灣的青能產業布局是不是太保守?如果只是用氫來替代進口的石化燃料來發電您覺得這樣的台灣的青能產業布局是不是太保守了呢?呃,我不認為因為它是一個決戰未來能源的國際競爭力但是它只用來取代發電我的看法跟您交換一下意見其實呢往下看其實基金發展、氫能的民生運用跟儲運產業很重要 |
transcript.whisperx[323].start |
9182.737 |
transcript.whisperx[323].end |
9212.177 |
transcript.whisperx[323].text |
因為我們民生端比如說燃料電池的電動車、氫能車或者運輸端我們港口的儲運設施包括阿姆斯特丹、漢堡這些歐盟的國家都在大力的推動因為要進口這些氫能他用安或者其他方式進口他都需要有儲能設施和運輸設施的轉變是不是這樣子是的現在整個歐盟都在做這個實驗所以請你們一定要聯合經濟部跟交通部因為交通部呢港口是交通部管的往下看全球排前11名的航商當中台灣占了幾個你知道嗎 |
transcript.whisperx[324].start |
9214.118 |
transcript.whisperx[324].end |
9221.283 |
transcript.whisperx[324].text |
我寫出來了嗎?前11名的占了3個啦前20名的占了4個我們總的運能啊占了全世界的一成 |
transcript.whisperx[325].start |
9222.25 |
transcript.whisperx[325].end |
9242.382 |
transcript.whisperx[325].text |
那未來的船舶也是不是要用低碳燃料?是的,因為歐盟已經開始徵收已經記錄了嘛對,已經徵收了所以不只我們的運輸的船隊要用低碳燃料連他載運的這些飛行機也是要改成類似像安這樣的一個氫能原料,是不是這樣子?是的好,我再往下看所以是不是能夠用台灣的航運優勢政府積極的來輔導發展氫能儲運的產業? |
transcript.whisperx[326].start |
9245.894 |
transcript.whisperx[326].end |
9256.648 |
transcript.whisperx[326].text |
是的好,那就給我答案,所以請你研議呢政府利用臺灣航運優勢、積極發展及輔導輕能民生應用和儲存船的可行性一個月提出一個報告,可以嗎?可以好,謝謝 |
transcript.whisperx[327].start |
9265.066 |
transcript.whisperx[327].end |
9284.087 |
transcript.whisperx[327].text |
那個反核式民進黨的神主牌,副黨神山,那個神主牌你不能亂去給他擋他們現在已經在跟你講話是叫你不要對核能亂發言,小心一點好不好好,現在請老美聯委員發言 |
transcript.whisperx[328].start |
9293.367 |
transcript.whisperx[328].end |
9294.168 |
transcript.whisperx[328].text |
謝謝主席 有請劉主委 |
transcript.whisperx[329].start |
9306.945 |
transcript.whisperx[329].end |
9326.184 |
transcript.whisperx[329].text |
國發會在2022年的時候有定下一個目標就是在2030年我們要增加19萬的僑外生留在台灣工作我們來看過去10年從2014年到2023年確確實實僑外生每一年留台的這個留台率是逐年的提高可是呢要 |
transcript.whisperx[330].start |
9326.664 |
transcript.whisperx[330].end |
9346.92 |
transcript.whisperx[330].text |
議員議員議員議員 |
transcript.whisperx[331].start |
9347.54 |
transcript.whisperx[331].end |
9369.769 |
transcript.whisperx[331].text |
在2023年這個目標年大概還有6年多的時間也就是說如果要達到這19萬強外生要留台的話大概每一年留在台灣的強外生人數必須要有3萬人左右我想請問國發會這不是喊一喊就有這個人數就出來了我想請教一下以目前的這個人數有可能 |
transcript.whisperx[332].start |
9370.709 |
transcript.whisperx[332].end |
9375.094 |
transcript.whisperx[332].text |
在未來的6年多就達標嗎?請問國發會有沒有跟相關單位像僑委會、勞動部來討論過相關的問題?這個細節我能不能請我們同仁先講我再補回答我再補充 |
transcript.whisperx[333].start |
9391.87 |
transcript.whisperx[333].end |
9413.055 |
transcript.whisperx[333].text |
謝謝委員關心有關喬外森流台的目標我們是優先是擴大我們前幾年是擴大了吸引喬外森來台我們擴增來源三倍的量能但這個部分將來他會陸續我們再提高他透過我們各項的一個流台的相關規定的放寬會提高他的流台的誘因 |
transcript.whisperx[334].start |
9413.635 |
transcript.whisperx[334].end |
9427.964 |
transcript.whisperx[334].text |
那這個部分我們希望從現成的48%會提高到6到7成那這樣子就有助於我們在2030年達到19萬這樣的目標所以你們對這個目標是有信心的對不對那當然我們這個 |
transcript.whisperx[335].start |
9433.926 |
transcript.whisperx[335].end |
9458.914 |
transcript.whisperx[335].text |
一般外專人是在台工作的這個辦法那再來就是喬外申的這個評點制那這兩個制度其實都有門檻比如說外專人才好了他有一個薪資門檻是47,971元所以有很多不符合想要走這一條的其實很多喬外申因為拿不到這個薪資只好轉而走這個 |
transcript.whisperx[336].start |
9460.034 |
transcript.whisperx[336].end |
9460.254 |
transcript.whisperx[336].text |
國發會主席 |
transcript.whisperx[337].start |
9479.237 |
transcript.whisperx[337].end |
9507.84 |
transcript.whisperx[337].text |
評點制的人數限制還有這個薪資的這個門檻我們會拿掉嗎?這點已經有共識會拿掉會拿掉?對所以以後沒有薪資沒有上限就對薪資門檻沒有上限對不對?配額沒有上限配額沒有配額機遷沒有上限那個薪資呢?薪資門檻呢?因為畢竟那以後呢那還有這個那個喬壞森的這評點制他還有產業別嘛他還有產業別的限制那產業的這部分有沒有要拿掉呢? |
transcript.whisperx[338].start |
9509.218 |
transcript.whisperx[338].end |
9529.804 |
transcript.whisperx[338].text |
目前我們這些相關的都在檢討中包括勞動部也有在評估這個部分我們其實都有在納入研議中委員剛剛提到我想了解說勞動部目前他的這個他的這個想法他的這個未來想要走的方向是哪些你目前說已經有跟勞動部這邊做過討論了那請問勞動部這邊他的態度是什麼 |
transcript.whisperx[339].start |
9534.915 |
transcript.whisperx[339].end |
9535.596 |
transcript.whisperx[339].text |
目前有彈性來處理嗎? |
transcript.whisperx[340].start |
9553.409 |
transcript.whisperx[340].end |
9553.449 |
transcript.whisperx[340].text |
對,有有 |
transcript.whisperx[341].start |
9569.179 |
transcript.whisperx[341].end |
9584.774 |
transcript.whisperx[341].text |
所以你們彈性的做法是怎樣的做法呢?對,因為是可以由那個廠商他提出申請,然後就是跨部會這樣的會商用個案許可的方式。過去就已經有在進行當中,可是你知道嗎?像你們之前的說法,僑外生很多都不知道。 |
transcript.whisperx[342].start |
9585.294 |
transcript.whisperx[342].end |
9591.678 |
transcript.whisperx[342].text |
他們只看到這個就是說公司資本額不足所以我就不符合資格了所以這個部分如果說過去有在做應該多加宣導可是我們所瞭解的是過去很多橋外生我們都不知道說你們有所謂的彈性的做法那我們這個會加強來宣導 |
transcript.whisperx[343].start |
9602.304 |
transcript.whisperx[343].end |
9619.326 |
transcript.whisperx[343].text |
那我在想說我也知道說像勞動部協會其實最近都有很密集的在討論橋外森的鬆綁的這個政策那我在想說國防會這邊有沒有了解說我們的進程我們大概是什麼時候會有一個進一步的這個政策的這個修訂請問 |
transcript.whisperx[344].start |
9622.492 |
transcript.whisperx[344].end |
9624.194 |
transcript.whisperx[344].text |
接下來我們請李坤誠委員請做詢問 |
transcript.whisperx[345].start |
9655.891 |
transcript.whisperx[345].end |
9660.796 |
transcript.whisperx[345].text |
謝謝主席主委在喝咖啡請主委我們請主委 |
transcript.whisperx[346].start |
9669.571 |
transcript.whisperx[346].end |
9692.465 |
transcript.whisperx[346].text |
主委好 主委好 其實也辛苦了 其實剛剛就是讓你先喝一下咖啡了 那請問一下 我相信也很多委員都請教你 因為最近你在跟媒體查序的時候提到說對於核能的看法 你有三個原則 第一個看電夠不夠 第二個是低碳電夠不夠 還有如何減碳 第三是2050的這個淨零目標 你這三個原則可不可以再花點時間再說清楚一點 |
transcript.whisperx[347].start |
9693.405 |
transcript.whisperx[347].end |
9715.581 |
transcript.whisperx[347].text |
我解釋一下,其實我是從企業來的,因為企業其實在意的是有沒有安全穩定的電,夠不夠電那其實為了這個其實我一開始我們有遇到台電的時候,大概我們都有提出來那台電其實告訴我的是他們的電力準備是非常完備的,那我也看到一些數據 |
transcript.whisperx[348].start |
9717.162 |
transcript.whisperx[348].end |
9730.572 |
transcript.whisperx[348].text |
所以它是夠的所以坦白講我在內部會議的時候我就有提出來那核電已經不是一個重要議題因為夠不夠才是一個重要議題那接下來我們要做的是我們做怎麼做淨零碳排的路徑的執行 |
transcript.whisperx[349].start |
9731.257 |
transcript.whisperx[349].end |
9757.819 |
transcript.whisperx[349].text |
因為你有提到就是說這個AI發展會增加到三成的電力的需求那個是對機房的部分不是總體電力總體電力的話應該不到1%將近現在是調到3%的總體增加我覺得這個要講清楚啦那是機房的部分對啊我想說這個我一看就說為什麼AI發展就需要這個3倍的電力所以是指機房的部分機房的部分全部的電力來講就增加1%全部電力從昨天經濟部出來的是總體會增加3% |
transcript.whisperx[350].start |
9759.701 |
transcript.whisperx[350].end |
9784.258 |
transcript.whisperx[350].text |
議員. |
transcript.whisperx[351].start |
9784.338 |
transcript.whisperx[351].end |
9784.538 |
transcript.whisperx[351].text |
是這樣的喔? |
transcript.whisperx[352].start |
9811.898 |
transcript.whisperx[352].end |
9835.823 |
transcript.whisperx[352].text |
在歐盟來看的話第一個你的核廢料必須要有一個良好的儲存是良好的儲存那還是你要找到最終的這個處置的地方對最終處置場然後呢所以要講清楚喔你要儲存現在比如說現在核廢料也是有暫時的儲存啊比如放在新北啊跟找到這個最終的這個處置場是兩個不一樣的概念喔對對也因此其實歐盟到現在還沒有還沒有核准過綠能 |
transcript.whisperx[353].start |
9837.612 |
transcript.whisperx[353].end |
9855.585 |
transcript.whisperx[353].text |
對阿,因為現在這個核電還不算是綠電嗎?它不算綠電,它只是低碳,它不是綠電。對阿,我們的RE100裡面百分之百用再生能源也沒有包括核電嘛對不對?沒有包括,因為它不是再生能源。它不是再生能源。對。它也沒辦法找到最終的組織廠啦。對。好。那請教一下。它找到也不會是再生能源。好。 |
transcript.whisperx[354].start |
9856.97 |
transcript.whisperx[354].end |
9880.326 |
transcript.whisperx[354].text |
國民黨提出有關花東的三個法案這三個法案都沒有經過大家合理的討論兩分鐘之內就通過大概上兆的兩兆以上的法案包含花東快還有環島高速鐵路還有國六東延花蓮請問一下主委在國發會的規劃裡面 |
transcript.whisperx[355].start |
9884.13 |
transcript.whisperx[355].end |
9895.13 |
transcript.whisperx[355].text |
我看到你們花東有推動花東離島地區永續發展我問一下主委對於三大乾坑建設的看法是怎麼樣? |
transcript.whisperx[356].start |
9896.97 |
transcript.whisperx[356].end |
9914.97 |
transcript.whisperx[356].text |
這個部份是交通的專業,我們沒有這個專業去評估,我們的做法是要它上的。但是它也是在國發會裡面對於花東的這個建設裡面,國民黨認為說如果沒有這三個交通建設,花東就沒辦法發展嘛,那我是問說這個國發會的態度啊。 |
transcript.whisperx[357].start |
9917.694 |
transcript.whisperx[357].end |
9920.575 |
transcript.whisperx[357].text |
目前至少他沒有可行性的研究沒有環境影響評估當然在委員會沒有實施討論 |
transcript.whisperx[358].start |
9936.68 |
transcript.whisperx[358].end |
9963.198 |
transcript.whisperx[358].text |
當然交通部會在做這個專業性評估那我只是就教這一個主委就是說在國發會的這一個這個施政的這一個方向裡面交通對於花東來講它不是唯一發展的必要性交通很重要但是對於花東有更多的一些資源投入進去可以促進花東的發展那如果像這一種這一個三大交通建設第一個 |
transcript.whisperx[359].start |
9963.778 |
transcript.whisperx[359].end |
9968.119 |
transcript.whisperx[359].text |
我還是覺得可惜性評估一定要專業的交通部來做以後然後也要有一個很完整的環境評估然後再經過討論然後才會有機會來 |
transcript.whisperx[360].start |
9989.902 |
transcript.whisperx[360].end |
9989.922 |
transcript.whisperx[360].text |
來探討 |
transcript.whisperx[361].start |
10010.852 |
transcript.whisperx[361].end |
10023.72 |
transcript.whisperx[361].text |
對我們來講花東的建設很重要但是這個第一個是淺坑法案第二個對於花東的這個環境自然人文都會造成影響那我請這個主委要多加考慮好不好是好謝謝謝謝謝謝接下來我們請陳廷飛委員請做詢談謝謝齁召委我們請主委我們再請主委 |
transcript.whisperx[362].start |
10046.584 |
transcript.whisperx[362].end |
10061.673 |
transcript.whisperx[362].text |
主委好主委好主委我想現在我們希望現在一直在期待有一個AI的研發中心是那這個有沒有可能在台南 |
transcript.whisperx[363].start |
10063.566 |
transcript.whisperx[363].end |
10087.811 |
transcript.whisperx[363].text |
來協助這樣的一個AI研發中心來帶動地方的產業鏈智慧化的升級轉型其實大家知道應該主委因為你產業界過來的你知道很多的隱形產業就是在台南對所以基本上他們從過去靠著自己然後一路走到現在現在都面臨一個必須轉型的時間關鍵點了 |
transcript.whisperx[364].start |
10091.038 |
transcript.whisperx[364].end |
10101.711 |
transcript.whisperx[364].text |
因為我們要跟世界接軌現在AI是非常重要的而且我們怎麼將傳統改變轉型也是一個大工程 |
transcript.whisperx[365].start |
10102.785 |
transcript.whisperx[365].end |
10121.473 |
transcript.whisperx[365].text |
所以我覺得這個部分如果能夠協助在台南爭取一個新建我們的AI研發中心協助這些傳產協助我們這些中小企業地方產業能夠把智慧化的升級我相信這非常重要 |
transcript.whisperx[366].start |
10122.423 |
transcript.whisperx[366].end |
10147.072 |
transcript.whisperx[366].text |
主委你認為呢?這個我想整個AI的發展覺得是我們重中之重那我這個設計整個我們現在是這樣會先設計裡面的內容然後之後我們至於它會變成虛擬化還是或是一個實際地點這個還要跟速發部的討論那我們今天下午會討論我想會把委員的看法也會也會轉達給那個部長 |
transcript.whisperx[367].start |
10149.144 |
transcript.whisperx[367].end |
10173.598 |
transcript.whisperx[367].text |
因為現在這個研發中心我想這個有這樣的傳言說我們的黃仁勛黃總裁這個等我們臺南之光這個江建瀨總統要希望在這個研發中心的地點可以從高雄跟臺南去二選一來打造臺灣的AI島是不是有這樣的傳言? |
transcript.whisperx[368].start |
10177.105 |
transcript.whisperx[368].end |
10201.058 |
transcript.whisperx[368].text |
這個傳言我不清楚現在大家都很期待所以我會今天在這個質詢當中提出這樣的一個看法就是說如果真的在整個研發中心AI的研發中心如果要真的從高雄跟台南去二則一台南其實最適當因為他現在 |
transcript.whisperx[369].start |
10204.377 |
transcript.whisperx[369].end |
10204.597 |
transcript.whisperx[369].text |
主委你認為呢? |
transcript.whisperx[370].start |
10234.637 |
transcript.whisperx[370].end |
10247.256 |
transcript.whisperx[370].text |
我想委員講得很有道理啦,我會轉達我們可能一起整體讓大家會特別也參考,我想台南一定是在選項之一啦,我們來努力看看 |
transcript.whisperx[371].start |
10247.878 |
transcript.whisperx[371].end |
10276.296 |
transcript.whisperx[371].text |
因為我相信土地一定沒有問題嘛 這個AI的研發中心土地一定是最首要之重嘛 沒土地就不用說了嘛 台南土地一定沒問題嘛 台南看你要選到哪一地我們一定全力支持嘛 然後再來我們也有一些所謂的相關的不斷電資訊的處理系統的一個電力供給 這也都是我們在進行當中 所以我認為 |
transcript.whisperx[372].start |
10277.962 |
transcript.whisperx[372].end |
10294.905 |
transcript.whisperx[372].text |
臺南有他適合的地理位置有他適合的條件而且在各方的一些產業資源當中一定我們能夠全力配合所以這個在拜託我們的主委希望能夠把我們的聲音 |
transcript.whisperx[373].start |
10296.212 |
transcript.whisperx[373].end |
10298.433 |
transcript.whisperx[373].text |
發言委員會主任委員會主任委員會主任 |
transcript.whisperx[374].start |
10315.789 |
transcript.whisperx[374].end |
10337.692 |
transcript.whisperx[374].text |
這才是重要所以我利用今天的質詢把我們地方的期待把我們地方的需求然後跟主委報告希望主委可以幫我們轉達能夠幫我們在討論如果真的有機會做這樣的一個AI研發中心的時候要把台南變成首要的 |
transcript.whisperx[375].start |
10338.615 |
transcript.whisperx[375].end |
10366.843 |
transcript.whisperx[375].text |
一些我們的決定的地理位置這個才是我們需要我們主委來幫忙那另外一個部分是我們現在有很多中小企業的智慧轉型的計畫由中央來協助可是這些其實主委你看過之後你是來行人你看過之後這都是在教育的部分 |
transcript.whisperx[376].start |
10367.97 |
transcript.whisperx[376].end |
10395.544 |
transcript.whisperx[376].text |
並沒有全面我們在協助中小企業智慧轉型不能只有focus在教育這個區塊我們應該的是全面性對不對對中小企業的智慧轉型不是只有教育所以我們在問的是我們到底國發會如果你要協助中小企業智慧轉型這個計畫你們是整合人 |
transcript.whisperx[377].start |
10396.806 |
transcript.whisperx[377].end |
10425.16 |
transcript.whisperx[377].text |
你們整合各部會你們是不是應該整合得更為精進更為提升而不是單向反正有在做就好了教育部有在做你也把他納入說這是我的智慧轉型不是那麼簡單啊中小企業的智慧轉型不是只有在教育這個區塊這兩個是差很多對不對主委是不是是的你剛看到這個計畫 |
transcript.whisperx[378].start |
10426.837 |
transcript.whisperx[378].end |
10450.815 |
transcript.whisperx[378].text |
我們去調了說臺南市協助就是我們中央的預算來協助臺南市那臺南市來協助中小企業智慧轉型的一些相關的計畫名稱計畫內容我們調出來的居然是這些居然是這些主委你看完你內行你看完之後有什麼想法 |
transcript.whisperx[379].start |
10452.586 |
transcript.whisperx[379].end |
10480.042 |
transcript.whisperx[379].text |
我們其實在我們的計畫裡面本來就有一段是要照顧傳產透過AI轉型那我想我們會在整個國家發展計畫裡面會把整體產業一起考慮進來那就不會產生這不平衡現象這個是我們用我們協助中小企業智慧轉型這樣的名稱下去調的資料就調到這幾個 |
transcript.whisperx[380].start |
10483.403 |
transcript.whisperx[380].end |
10510.979 |
transcript.whisperx[380].text |
這幾個幾乎都是在教育的區塊比較多所以這不是智慧轉型不是智慧轉型有很多方向可是你要把它區分什麼是教育什麼是中小企業什麼區塊每一個區塊其實是不一樣表示智慧轉型現在是已經是重中之重了可是你不能是好像反正有在做就好了 |
transcript.whisperx[381].start |
10511.92 |
transcript.whisperx[381].end |
10513.041 |
transcript.whisperx[381].text |
這個部分會讓大家覺得到底什麼是智慧轉型? |
transcript.whisperx[382].start |
10527.796 |
transcript.whisperx[382].end |
10536.282 |
transcript.whisperx[382].text |
自衛轉型的精神是什麼會亂掉所以我是用這個來提醒再來就是說這個再請我們主委你這個會後再給我們一個報告就是說 |
transcript.whisperx[383].start |
10544.128 |
transcript.whisperx[383].end |
10567.987 |
transcript.whisperx[383].text |
我們國發會如何協助我們的賴總統打造五大信賴產業半導體產業、人工智慧產業、軍工產業、安控產業、通訊產業這五大信賴產業我們打算怎麼做國發會打算怎麼幫忙協助打造然後我的區塊在哪裡 |
transcript.whisperx[384].start |
10568.848 |
transcript.whisperx[384].end |
10570.489 |
transcript.whisperx[384].text |
我需要這些資料再麻煩一個月拜託一個月好謝謝 |
transcript.whisperx[385].start |
10600.302 |
transcript.whisperx[385].end |
10600.743 |
transcript.whisperx[385].text |
主席主委有請主委 |
transcript.whisperx[386].start |
10628.167 |
transcript.whisperx[386].end |
10651.776 |
transcript.whisperx[386].text |
委員早主委午安吶這個看了你的背景吼跟剛剛聽了一些委員的質詢吼還有看了你們今天這一本業務報告吼本期要做幾點提醒也做一些政策的對話這我們當然知道賴清德總統上任之後新的內閣希望帶動AI啦這個科技啦國防啦等等的這些信賴產業那您過去也有在外商服務的經驗但是吼 |
transcript.whisperx[387].start |
10652.316 |
transcript.whisperx[387].end |
10653.277 |
transcript.whisperx[387].text |
目前我的了解是只有在附加價值率占了58.5% |
transcript.whisperx[388].start |
10672.233 |
transcript.whisperx[388].end |
10694.048 |
transcript.whisperx[388].text |
那就業人口數我現在手上沒有資料就業人口數大概是兩成左右啦那請問主委知不知道臺灣的服務業的就業人口數占全國人口多少大概百分之六十二百分之六十嘛對不對所以我看了這本報告之後我是有點擔心啦因為我們把很多的重點國家發展的重要的資源投入以及政策的規劃都放在這些高上大的產業上面但相對來講我看到我為這60%的服務業從業人員感到很擔憂啊 |
transcript.whisperx[389].start |
10697.93 |
transcript.whisperx[389].end |
10727.083 |
transcript.whisperx[389].text |
因為最近不管是通貨膨脹也好或是怎麼樣也好即便景氣回溫但顯然這些60%的這一群相對多數的服務業、從業人口薪水是沒有提升的然後造成了一個惡性循環因為我的工作待遇不好工作待遇不好的時候當然就變成缺工的狀況更嚴重缺工狀況更嚴重的時候對於商家來講要推動轉型或是走出新的路他難度跟門檻就變高了請問針對服務業現在的缺工跟低薪的困境啊國發會有沒有任何的政策配套跟政策方向 |
transcript.whisperx[390].start |
10728.69 |
transcript.whisperx[390].end |
10748.895 |
transcript.whisperx[390].text |
在我們新的規劃裡面因為這個62%的這個就業人口數他必須被充分的照顧到那我們這裡面我們其實做了一個圖表的分析大部分的附加價格率是比較偏低的那我們這裡面拉兩塊一塊是為了未來AI需要的人才我們會希望大幅的拉動資訊服務業 |
transcript.whisperx[391].start |
10750.715 |
transcript.whisperx[391].end |
10769.277 |
transcript.whisperx[391].text |
剩下的產業我們現在的做法是這樣我們目前的規劃是希望透過自衛化的方式增強他在市場行銷跟管理上的競爭力還有供應鏈競爭力之外我們可能會鼓勵他們去做結盟就是產業控股公司的結盟方式 |
transcript.whisperx[392].start |
10770.017 |
transcript.whisperx[392].end |
10793.33 |
transcript.whisperx[392].text |
讓他的資本變大以後呢可以前進國外那原因是說我們在製造業可以看到很多國際級的台灣產業在國際競爭但服務業沒有那要走出去的話當然我們資訊服務業拉起來之後另外還有一塊就是要這個產業要有能力走出去變成一個比較大的企業那產業控股是一個可能的方式所以我們目前大概朝這幾個方向在規劃 |
transcript.whisperx[393].start |
10794.591 |
transcript.whisperx[393].end |
10819.168 |
transcript.whisperx[393].text |
我希望下一次再看到這個國發會的業務報告裡面針對台灣服務業的轉型跟提升要有更加具體的一個說法那您剛剛報告的這些東西我希望會後提供一份書面資料可以嗎我想了解一下國發會這一部分的政策規劃第二個問題是過去我們看到2020年國發會其實有推動國發會包山包海主委應該很清楚有推動叫做穩定房地產對策請問主委上台之後國發會要不要繼續做穩定房地產的對策 |
transcript.whisperx[394].start |
10820.469 |
transcript.whisperx[394].end |
10824.832 |
transcript.whisperx[394].text |
這個跟主委講句比較不客氣的話很諷刺的就是在2020的穩定房地產對策上推動之後基本上就迎來了台灣就迎來了 |
transcript.whisperx[395].start |
10840.524 |
transcript.whisperx[395].end |
10859.236 |
transcript.whisperx[395].text |
房價再次飛漲的一個階段所以你越打房價越漲最近本期選區歸山還有那個預售屋排隊搭帳棚在那邊排隊的他們真的是資助客嗎還是投資客我們政府的這一段時間的對於房地產市場的平穩跟相關的一些措施真的有見效嗎我是希望主委對這一塊也要多加來琢磨 |
transcript.whisperx[396].start |
10860.517 |
transcript.whisperx[396].end |
10886.038 |
transcript.whisperx[396].text |
因為我剛剛講的60%相對來講辛苦的服務業、從業人員除了一般通貨膨脹的衝擊之外另外最大的衝擊都來自於房價我們希望台灣未來的經濟發展走的是一個健康的模式也就是說它有高科技產業在前面做龍頭讓這群人先可以賺到所得的利潤但相對來講其他也要跟上來分配要有更公平正義那有關居住正義的這部分請問國發會有沒有一些想法簡單的說明就好了 |
transcript.whisperx[397].start |
10887.279 |
transcript.whisperx[397].end |
10907.234 |
transcript.whisperx[397].text |
目前有一些初步的想法我們正在評估中那我們希望協助蓋更多的社會宅那另外一部分我們現在正在協調的是採用財務工程的方式希望引投資的資金進來做這件事目前才在規劃中還沒有很成熟那大概多久時間內會有一個比較具體的政策方向 |
transcript.whisperx[398].start |
10907.962 |
transcript.whisperx[398].end |
10932.277 |
transcript.whisperx[398].text |
我們是希望三個月左右因為牽扯的細節比較多還有牽扯到法令的問題那如果有這個資助的話他整個建的速度會增快好,我希望可以看到具體的方向我希望國防會把這部分也作為重點就是除了經濟發展之外公平正義也非常重要這是本席一直以來關注的焦點希望諸位新官商人好好努力,可以嗎?可以可以,謝謝辛苦了 |
transcript.whisperx[399].start |
10937.782 |
transcript.whisperx[399].end |
10953.354 |
transcript.whisperx[399].text |
謝謝接下來我們請王紅薇委員請做詢答謝謝主席麻煩我們劉主委另外我們幾位處長綜合規劃處、經濟發展處、產業發展處麻煩也隨著主委一起上好我們請三位處長也一併上主委請上 |
transcript.whisperx[400].start |
10966.426 |
transcript.whisperx[400].end |
10976.512 |
transcript.whisperx[400].text |
主委好,我呼籲一下剛才牛許廷委員他所諮詢的內容其實在這次新政府裡面,包含主委還有我們的數法部部長跟經濟部的部長,被外界認為是有亮點的一個隔緣的安排 |
transcript.whisperx[401].start |
10982.296 |
transcript.whisperx[401].end |
10994.103 |
transcript.whisperx[401].text |
但是呢不可諱言的我們幾位現在新的閣員基本上你們的資歷非常的好非常亮眼但是確實都屬於高大上的產業感覺呢沒有什麼庶民經濟的相關的一些經驗那所以呢我把它具體而為的特別為什麼也請三位處長一起來聽一下 |
transcript.whisperx[402].start |
11008.331 |
transcript.whisperx[402].end |
11014.696 |
transcript.whisperx[402].text |
昨天主計處發布了一個訊息統計資料我個人認為這是對於很多的我們講數名經濟非常重要一個資料因為他們是固定的去調查台灣的攤販數還有他的交易金額以及他的利潤出現了一個地下經濟的震痛期我不曉得震痛還是會變成長痛期 |
transcript.whisperx[403].start |
11034.711 |
transcript.whisperx[403].end |
11050.821 |
transcript.whisperx[403].text |
我們台灣的攤販數35年來出現了加數下降最多而且利潤也下降最多的一個狀況這個我們是可以理解因為包含我們現在不管是網購啦、電子支付啦、外賣等等一定會衝擊這些攤販 |
transcript.whisperx[404].start |
11053.743 |
transcript.whisperx[404].end |
11072.639 |
transcript.whisperx[404].text |
那所以我們今天除了我們在講AI產業科技產業我們的淨零排放等等之類但是對於這這麼多的一個就業人口的攤販數的急劇下降我們政府可不可以想辦法有一些協助好我直接講 |
transcript.whisperx[405].start |
11073.78 |
transcript.whisperx[405].end |
11092.605 |
transcript.whisperx[405].text |
在我在擔任臺北市議員的時候其實我們在臺北市做了一個非常大的努力就是讓傳統的市場攤販能夠做電子支付所以像在臺北市所有公有市場現在電子支付的普及率已經超過90% |
transcript.whisperx[406].start |
11094.045 |
transcript.whisperx[406].end |
11094.465 |
transcript.whisperx[406].text |
我看你再點頭哈 |
transcript.whisperx[407].start |
11123.934 |
transcript.whisperx[407].end |
11148.733 |
transcript.whisperx[407].text |
那我要講就說除了臺北市之外很多的縣市可能也有在做可是做了一些時間因為攤販他可能非常的反彈或者是說基本上大家都可以想到了一個他付手續費他覺得我成本增加另外一個他很怕國稅局來幫他查稅等等之類的所以他會有一些反彈或者抗拒所以呢 |
transcript.whisperx[408].start |
11149.794 |
transcript.whisperx[408].end |
11157.702 |
transcript.whisperx[408].text |
現在除了台北市之外其實他推行的並不是很好可是呢我覺得這些的攤販轉型必須要做的比如說現在外賣也好或者網購也好越來越多好我舉例來講 |
transcript.whisperx[409].start |
11165.109 |
transcript.whisperx[409].end |
11182.627 |
transcript.whisperx[409].text |
台北市就是因為有大力的推動攤販的電子支付所以別說包含在台北市的我們中山市場還有松江市場這都是我的選區啊他有傳統的市場但是呢他在外賣他全部都上架所以並不是只有全聯上架你要買生鮮食品並不是只有在全聯哦 |
transcript.whisperx[410].start |
11183.388 |
transcript.whisperx[410].end |
11186.209 |
transcript.whisperx[410].text |
你可以在我們這些很好的市場買到更好的生鮮食品好別說南門市場當然這也很有名所以如果未來我們能夠推動這樣的市場攤販能夠成功轉型的話這樣的一個大浪潮會使得我們非常好的服務業非常好的攤販他繼續能夠在市場存活 |
transcript.whisperx[411].start |
11204.716 |
transcript.whisperx[411].end |
11211.24 |
transcript.whisperx[411].text |
所以這一點非常重要所以我在這邊也拜託主委除了高大上的產業之外也能夠來關心我們這樣的一個傳統產業怎麼樣讓他搭上這樣的便車轉型勢在必行當然這個要請經濟部經濟部有些輔導辦法但是看起來輔導不利啊因為可能有一些攤商他還在抗拒中 |
transcript.whisperx[412].start |
11226.929 |
transcript.whisperx[412].end |
11231.013 |
transcript.whisperx[412].text |
另外花一點點時間不好意思我要跟主委講因為主委接受媒體採訪談到就是你談到核電的重要性你也談到說清電的重要性但是也想跟主委讓主委了解 |
transcript.whisperx[413].start |
11244.06 |
transcript.whisperx[413].end |
11261.477 |
transcript.whisperx[413].text |
國際能源署他的預估2050年全球的清電的占比是1%而國發會做出來的也根據為了要符合我們2050的淨零排放的目標做出來的清電的占比 諸位知道是多少嗎 |
transcript.whisperx[414].start |
11265.492 |
transcript.whisperx[414].end |
11289.862 |
transcript.whisperx[414].text |
9到12%9到12% 主委你覺得這數字有沒有怪怪的?如果全球 因為全球都要淨零排放不是只有台灣才要嗎?如果全球做出來是1%但是我們國發會當然為了要配合 因為不能做核電了 怎麼來補充呢?所以做出9到12%你有沒有感覺1%跟9到12%台灣會不會怪怪的 我們會不會太過的高估?好 因為你要去中研院去找廖院長 |
transcript.whisperx[415].start |
11291.002 |
transcript.whisperx[415].end |
11314.116 |
transcript.whisperx[415].text |
中研院的,它也是針對淨零排放的科技的政策建議書你知道2050年它的建議是多少嗎?清電的百分比要多少嗎?您知道嗎?好,我來告訴你,因為我時間我不要...達到四分之一可能嗎?達到四分之一國際百分之一我們... |
transcript.whisperx[416].start |
11316.759 |
transcript.whisperx[416].end |
11338.312 |
transcript.whisperx[416].text |
國發會預估9%到12%我以10%好了10倍然後中研院的建議是達到4分之1所以你就知道我希望讓那個諸位有一些概念如果我們做一個完全高於而且超出世界趨勢的預期你就會知道我們的這樣的規劃會是怪怪的 |
transcript.whisperx[417].start |
11340.914 |
transcript.whisperx[417].end |
11340.934 |
transcript.whisperx[417].text |
好,謝謝 |
transcript.whisperx[418].start |
11371.178 |
transcript.whisperx[418].end |
11379.246 |
transcript.whisperx[418].text |
王珊珊委員請作詢答 |
transcript.whisperx[419].start |
11400.219 |
transcript.whisperx[419].end |
11421.979 |
transcript.whisperx[419].text |
主委長我想我們在看到您對雜誌的這個專訪裡面我看到的一句話是你希望大的國發會可以回來這句話是什麼意思你可以再說一遍嗎我是希望我是對我們同仁的勉勵我們希望能夠多一點主導性來把國家的未來的規劃做得比較完整 |
transcript.whisperx[420].start |
11422.319 |
transcript.whisperx[420].end |
11447.138 |
transcript.whisperx[420].text |
沒錯,應該是回到我們台灣在經濟發展之前有經建會當時的經建會它為國家破壞了未來長期建設的進度跟計畫可是自從相關的總統職選之後這些計畫很多都跟著任期被打亂我想如果您的願景是這樣我希望真正能夠落實所以今天有一個很重要的我也認為說 |
transcript.whisperx[421].start |
11449.34 |
transcript.whisperx[421].end |
11471.475 |
transcript.whisperx[421].text |
賴總統請您從業界從企業界來這個對國家來說可能也是另外一個新的攪動我所謂的長期的所謂的官僚體系那去年也就是第10屆的第8會期臺灣民眾黨的吳信義委員要求行政院指派成立主權基金的主責單位當時的行政院長陳建仁當場承諾交由國發會來規劃 |
transcript.whisperx[422].start |
11475.39 |
transcript.whisperx[422].end |
11502.175 |
transcript.whisperx[422].text |
我想問一下現在後來國發會也開了很多跨部會的會議來討論但是後來進入看守討論就不了了之但是我們的案子台灣民眾黨在這一屆的國會我們也提出了主權基金的法案所以我現在要問主委國發會目前還有沒有這個規劃還是說陳建元院長卸任了所以這個案子就胎死腹中了主委你的看法呢 |
transcript.whisperx[423].start |
11505.27 |
transcript.whisperx[423].end |
11534.659 |
transcript.whisperx[423].text |
您來自業界我希望你來幫國家賺錢我們同仁的說法是現在在部會的討論中您自己的看法您現在這樣講說你要當大國發會如果現在我們現在各種地方都在討論財政收支劃分法的問題財劃法地方都說沒錢中央也說我要管我要做很多事所以我也沒有錢分給你我們的問題是這些錢就這麼多另外一個方法就是 |
transcript.whisperx[424].start |
11536.044 |
transcript.whisperx[424].end |
11564.942 |
transcript.whisperx[424].text |
政府去多賺點錢回來所以主權基金是基於這樣的方式不是讓大家一直在同一塊餅裡面分餅而是去把餅再怎麼樣做大所以您來這個業界您也做過非常多企業的顧問一樣的方法我只是希望能不能夠帶進到政府裡面把這個觀念比照包括接下去很多的國家都有主權基金在應付所謂的高齡化的社會所以主委您不能沒有想法 |
transcript.whisperx[425].start |
11565.903 |
transcript.whisperx[425].end |
11566.606 |
transcript.whisperx[425].text |
你的想法是什麼? |
transcript.whisperx[426].start |
11567.774 |
transcript.whisperx[426].end |
11595.541 |
transcript.whisperx[426].text |
這個部分我們還是要去研究因為坦白講我比較希望是我們同仁我們去看一下各國的一些執行狀態因為有些國家其實執行的效果就我的瞭解並沒有預期的那麼好所以我們可能要把這些經驗吸取進來然後做一個比較完整的規劃會比較好帶入業界的概念是臺灣不會只是一直不斷的在這塊餅裡面炒來炒去如果我們可以我們的外匯存底很多 |
transcript.whisperx[427].start |
11596.121 |
transcript.whisperx[427].end |
11623.851 |
transcript.whisperx[427].text |
現在只是說誰來做怎麼做而且怎麼樣做到可以達到我們預期的效益而不是只是單純的把一筆錢拿出去亂花而已我想這個是需要長期規劃但是我需要我希望知道的是您接任之後陳建仁院長的承諾這個政策能不能夠持續的延續我們會繼續還是繼續把它演繹出來好第二個部分就是我看到你也說我們的 |
transcript.whisperx[428].start |
11625.865 |
transcript.whisperx[428].end |
11647.493 |
transcript.whisperx[428].text |
外國的外商不太容易進來的原因是外資留不住因為我們的英文環境很差雙語國家政策也是國發會的重要政策之一然後賴總統在這上面也講了很多但是在去年的大選大家也看到了第一線的教師其實受到很大的衝擊而且有非常多反彈的意見所以我想問一下主委沒錯 |
transcript.whisperx[429].start |
11648.598 |
transcript.whisperx[429].end |
11665.549 |
transcript.whisperx[429].text |
台灣要繼續發展人工智慧AI我們英語環境可能也是我們英語能力很重要的一環所以我想問一下雙語國家的政策你有什麼想法還是會延續2030年高中以下所有英文要全英文教然後三分之一的學校都要有英文教學 |
transcript.whisperx[430].start |
11666.369 |
transcript.whisperx[430].end |
11666.889 |
transcript.whisperx[430].text |
主委,您的看法 |
transcript.whisperx[431].start |
11683.387 |
transcript.whisperx[431].end |
11713.387 |
transcript.whisperx[431].text |
議員議員 |
transcript.whisperx[432].start |
11713.787 |
transcript.whisperx[432].end |
11713.807 |
transcript.whisperx[432].text |
好,謝謝 |
transcript.whisperx[433].start |
11736.414 |
transcript.whisperx[433].end |
11761.542 |
transcript.whisperx[433].text |
接下來我們請黃旺凱委員請做詢答那我們中午不休息延長開會時間至議程處理完畢謝謝主席謝謝麻煩請留主委我們再請留主委主委好委員好主委好本席今天特別看了一下業務報告 |
transcript.whisperx[434].start |
11762.898 |
transcript.whisperx[434].end |
11773.603 |
transcript.whisperx[434].text |
第一點就是創新經濟其中五大信賴產業但我想也跟昨天我在交易文化委員會來討論的這個用電的概念人員的部分 |
transcript.whisperx[435].start |
11774.629 |
transcript.whisperx[435].end |
11800.13 |
transcript.whisperx[435].text |
經濟部自己親口講說因為現在考量到半導體跟AI用電的需求大也因此預估2023年到2029年整體用電需求年均成長率已經上修到3%一年成長率3%2023年到2029年我們不算複利的概念它至少6年的時間要上升18% |
transcript.whisperx[436].start |
11801.511 |
transcript.whisperx[436].end |
11818.02 |
transcript.whisperx[436].text |
那18%的部分我們就說到目前為止即便是賴清德總統到2028年的一個任期你都要有15%的用電成長這是第一個第二今年7月和三廠的一號機要停止運轉 |
transcript.whisperx[437].start |
11820.539 |
transcript.whisperx[437].end |
11844.66 |
transcript.whisperx[437].text |
和三廠二號機明年要停止運轉到目前為止此時此刻台灣的和電發電量占全體台灣的用電6.2%所以我們剛講到2028年要上升15%的用電量我們現在又要降低6.2%的用電所以加起來20%的缺口還有 |
transcript.whisperx[438].start |
11845.854 |
transcript.whisperx[438].end |
11846.154 |
transcript.whisperx[438].text |
我們要達到24-1啊 |
transcript.whisperx[439].start |
11869.328 |
transcript.whisperx[439].end |
11895.447 |
transcript.whisperx[439].text |
24加減125%嘛 對不對23至25%是那現在我們全國的發電排碳大宗其中就是藍莓燃氣發電也就是我們台電那現在2025年的非核家園的規劃有高達八成是用火力發電所以到了2030你要再下修四分之一的排電量、排碳量 |
transcript.whisperx[440].start |
11896.967 |
transcript.whisperx[440].end |
11919.453 |
transcript.whisperx[440].text |
我們現在又是火力發電、火力全開我想請教一來一往之際這樣的一個數字沒有任何政治因素完全都是數學、完全都是數據我做夢我都會驚恐因為這代表說未來的五年內台灣面臨到非常大的能源缺口卓偉你怎麼看? |
transcript.whisperx[441].start |
11921.347 |
transcript.whisperx[441].end |
11945.743 |
transcript.whisperx[441].text |
分兩個階段,第一個是電的部分其實我在幾次會議我都有詳細問過你有講三方面嘛第一電夠不夠第二低碳電夠不夠第三淨零的目標目前台電的規劃他很肯定是一定夠的那這個其實包括院長當時也問過那電是夠的那我那因為我本身不是主管機關我是覺得所以你是相信台電的講法 |
transcript.whisperx[442].start |
11946.644 |
transcript.whisperx[442].end |
11948.626 |
transcript.whisperx[442].text |
蔡英文政府時代4次5次大跳電都來了,台電沒有跳票嗎? |
transcript.whisperx[443].start |
11968.787 |
transcript.whisperx[443].end |
11979.412 |
transcript.whisperx[443].text |
電網的問題吧,我至少聽到的是這樣的那我比較有在負責的是這個路徑的問題那路徑問題其實我們現在正在盤點那盤點完的差異我們現在有幾條路徑在走第一個路徑是我們會實驗那個藍綠青的發電我們現在只是填充而已那藍綠青的發電它是一個零碳排的發電 |
transcript.whisperx[444].start |
11993.379 |
transcript.whisperx[444].end |
12014.506 |
transcript.whisperx[444].text |
本席都理解,你也講到是說6月6日的時候你要跟中研院這邊再去做進一步的討論嘛對但是現在藍綠青的部分兩個部分啦第一技術成不成熟還要商榷第二它的發電成本高不高目前看起來它的發電成本是跟再生能源、太陽能的發電差不多也就平均1.5電差不多4塊5左右 |
transcript.whisperx[445].start |
12017.373 |
transcript.whisperx[445].end |
12041.745 |
transcript.whisperx[445].text |
對比其他的發電模式都來著成本高所以我們才會想到是說如果即便藍綠青的發電是技術能夠在短時間內成熟當然這非常的困難因為國際趨勢目前還沒有即便是日本是青年發展最前面的大國到目前為止日本的青年發電也都沒有占到他們的十分之一 |
transcript.whisperx[446].start |
12043.106 |
transcript.whisperx[446].end |
12067.672 |
transcript.whisperx[446].text |
所以主委我現在很務實的要請教其實講到那麼多我都務實的要請教如果你們今天的報告或說你在至少為賴清德總統四年任內規劃國家發展策略要做國家希望工程第一個首要是創新經濟而創新經濟裡面半導體人工智慧你又把它變成是五大信賴產業的其中兩大項 |
transcript.whisperx[447].start |
12068.812 |
transcript.whisperx[447].end |
12097.395 |
transcript.whisperx[447].text |
他是如此需要能源的但能源的缺口現在每年的成長還有我們現在在河山場的一號機、二號機也要在今年、明年來停止那我們到底有哪裡有這些底氣可以來做到本席當然希望我們的產業要發展但重點在於是如果到目前為止我們國發會都還沒有辦法去主導或說建議賴清德政府要不要捨去非核家園這個神主牌的話我們有其他的管道可以做到嗎 |
transcript.whisperx[448].start |
12099.058 |
transcript.whisperx[448].end |
12099.959 |
transcript.whisperx[448].text |
您會不會建議政府部門提出修法的要求? |
transcript.whisperx[449].start |
12118.486 |
transcript.whisperx[449].end |
12135.486 |
transcript.whisperx[449].text |
因為我們現在是電視,以台電的規劃是夠,夠的話就沒有提出修法有把它算入未來5年每年成長3%成長15%的需求嗎?依台電開會的說法是有的。也有?是有的。您相信嗎? |
transcript.whisperx[450].start |
12140.52 |
transcript.whisperx[450].end |
12166.59 |
transcript.whisperx[450].text |
你產業的經驗主委本席非常尊重專業所以如果說你只是丟給台電說他認為15%我們常講一句話眼見為憑嘛他的15%哪裡來尤其是過去確實我們不管是電網的韌性不足以及相關的國人會懷疑是說我們到底電夠不夠或是捉襟見肘否則怎麼會一個小小的跳電或事件就變成是全台電網的一個停擺 |
transcript.whisperx[451].start |
12167.861 |
transcript.whisperx[451].end |
12178.937 |
transcript.whisperx[451].text |
那如果說未來5年要成長15%今年明年又少了6%的核電一來一往是20%你認為5年內台電有準備多出20%的發電量嗎? |
transcript.whisperx[452].start |
12182.35 |
transcript.whisperx[452].end |
12207.325 |
transcript.whisperx[452].text |
按照他的說法,他其實準備的量是...是夠的,就是火力發電、火力全開所以我們沒有辦法減碳減碳另外跟委員報告,現在還有一個就是現在已經有一些廠商也開始裝藍綠青的這個除能做備援那這個東西也是另外一種綠電的發展那如果我們將來在鼓勵上面走的話他會讓我們的金融路徑應該是有機會達到 |
transcript.whisperx[453].start |
12209.826 |
transcript.whisperx[453].end |
12226.463 |
transcript.whisperx[453].text |
現在已經有安裝了,已經在用了那個比例有多少?我都不好意思戳破了各位,我很務實的提,我只想請教因為您在這幾次的媒體報導都已經講得非常好我也認同你務實的想法看起來你是沒有擁抱非核家園這樣的神主牌 |
transcript.whisperx[454].start |
12228.542 |
transcript.whisperx[454].end |
12247.513 |
transcript.whisperx[454].text |
還是你有?粉絲不要誤會你會不會堅持非核家園?按照2025年的計畫其實2025年shut down之後其實就沒有核電廠了以目前現實的面子所以你也不會建議以國發會主委的高度你來自產業你也不會建議這4年要重啓核電? |
transcript.whisperx[455].start |
12249.013 |
transcript.whisperx[455].end |
12274.827 |
transcript.whisperx[455].text |
他決定在於我們的電準備夠不夠是啊,所以我剛剛講啦我剛剛講的是說你相不相信台電說他們準備是夠的嘛如果說要有兩成的用電缺口第一你相信台電那就代表是說你覺得準備夠所以你這四年的任期假設你可以做滿四年這四年的任期你不會建議重啟核電但如果說你認為說這兩成的電力缺口是有疑慮的是不夠的 |
transcript.whisperx[456].start |
12275.447 |
transcript.whisperx[456].end |
12298.495 |
transcript.whisperx[456].text |
或是說您再進一步去了解台電的狀況發覺可能會有缺口那可能你就會建議重啟核電但是政府現在是你們在當家你們在執政啊所以你一定要讓而且最重要是什麼最重要的是不管你用再生能用其他能源來講產業能不能相信這個能源是穩定的進一步來說服產業投資在台灣 |
transcript.whisperx[457].start |
12300.458 |
transcript.whisperx[457].end |
12317.239 |
transcript.whisperx[457].text |
您來自產業,您一定更了解產業的想法嗎?有,其實我們不斷都有在溝通是,所以您到底您現在今年的供電狀況是大家知道你不要講今年嘛,我們現在講到2028年至少賴清德總統第一任的任期嘛對,我們得面對一個實際的現實是就是說 |
transcript.whisperx[458].start |
12319.962 |
transcript.whisperx[458].end |
12345.306 |
transcript.whisperx[458].text |
如果今天假設缺電的話其實要重啟核電那按照整個法令程序他起碼要在5年他絕對是緩不及急所以我如果是我我不會建議你不會建議重啟核電因為我們要建議的會是一個怎麼樣盡快達到先達到供電穩定那基本上我從台電的計畫來看他是有他一直有在monitor這段 |
transcript.whisperx[459].start |
12349.062 |
transcript.whisperx[459].end |
12363.073 |
transcript.whisperx[459].text |
本席今天只是想要確認我們國發會主委的態度我不帶任何預設立場因為有些個人都有各自的預設立場但是如果說您今天這是您的態度的話 |
transcript.whisperx[460].start |
12363.874 |
transcript.whisperx[460].end |
12364.574 |
transcript.whisperx[460].text |
是的是的 |
transcript.whisperx[461].start |
12380.97 |
transcript.whisperx[461].end |
12406.033 |
transcript.whisperx[461].text |
好,我們期待你剛剛講的我希望啦還是可以諸位如果說之後有機會可以再跟台電進一步的瞭解因為您是國家發展的火車頭所以說產業的部分、能源的部分以及您過去講到這三方面我覺得都希望你站在產業的角度來好好的思考做整體的評估好不好好謝謝,謝謝諸位謝謝 |
transcript.whisperx[462].start |
12412.315 |
transcript.whisperx[462].end |
12437.891 |
transcript.whisperx[462].text |
接下來我們請謝一芬委員請做詢答謝謝主席我想要請我們劉金青主委我們再請主委謝委員早主委早安 |
transcript.whisperx[463].start |
12439.827 |
transcript.whisperx[463].end |
12463.218 |
transcript.whisperx[463].text |
我其實很想要瞭解當我們把就是氫能的發展然後把它設定成國家能源的這個目標之一但是你有沒有什麼具體的專法或者是你認為在政府部門裡面應該有就是說有什麼部會共同來推動 |
transcript.whisperx[464].start |
12464.699 |
transcript.whisperx[464].end |
12492.72 |
transcript.whisperx[464].text |
你們國發會有沒有做相關的規劃那以及有沒有訂出相關的期成額例如好像中研院他們的濾清的發展那到底什麼時候我們能夠就是說有一個訂定的目標我們在幾年後要就是說可以生產出多少的清能或者是那要能夠有加清站能夠蓋出多少座的加清站有沒有這樣具體的規劃 |
transcript.whisperx[465].start |
12495.171 |
transcript.whisperx[465].end |
12520.738 |
transcript.whisperx[465].text |
目前是沒有但是有一個有一個大的工程的計劃確定是在明年會推動那就是在電廠裡面去裝設濾清的轉換的實驗工程那這個工程出來以後他實驗效果不錯之後就會進行到其他的機組去那達到零碳排的路徑在台電的部分嗎對在台電那這個案子已經申請上來了 |
transcript.whisperx[466].start |
12521.978 |
transcript.whisperx[466].end |
12536.043 |
transcript.whisperx[466].text |
我們還沒有合定我們還是希望再做一個細部的檢討跟規劃那就會往下走那這個話這個是一個零碳排的一個做法那另外就是在民間企業開始現在也過去每一家都會有備援電力 |
transcript.whisperx[467].start |
12536.923 |
transcript.whisperx[467].end |
12562.049 |
transcript.whisperx[467].text |
那大家開始也在也有一些廠商開始在在拋棄傳統的這個這個柴油發電機改用這個藍綠青的方式在做在桃園現在這些都有些廠商在做那這個這個部分他的備用電力也是一個綠綠電的部分他是藍綠青的綠電那這個這個如果也同時有我們如果能夠同時推廣下去的話那他會讓我們的淨零碳排的路徑是應該是有機會達到的 |
transcript.whisperx[468].start |
12563.669 |
transcript.whisperx[468].end |
12580.559 |
transcript.whisperx[468].text |
那如果就是說你都沒有定定一個目標的時候我們就沒有辦法知道說我們的電力成長的就是說電力的成長有沒有藉由濾清的方式那如果不是藉由清能的方式我們還有什麼其他的方式 |
transcript.whisperx[469].start |
12582.994 |
transcript.whisperx[469].end |
12600.988 |
transcript.whisperx[469].text |
我們現在的目標是用近鄰的角度去定的在2030年要降24%的降低24%加減1的降低那這個目標是存在的我們是以這個目標反推回來來看碳必須減少多少的 |
transcript.whisperx[470].start |
12601.728 |
transcript.whisperx[470].end |
12627.493 |
transcript.whisperx[470].text |
對,可是我們青城的發展有辦法就是達到就是我們電力的缺口嗎?跟委員報告一下以前我的公司我們有一個永續發展公司那其實我們全球一直有在做這種濾清的研究那這個研究呢其實在歐洲目前來講在德國的Fost的這個工業區也好法國的那個渡輪也好在阿姆斯特丹的垃圾車也好在歐洲現在在做一個實驗室一個貨運 |
transcript.whisperx[471].start |
12629.053 |
transcript.whisperx[471].end |
12650.505 |
transcript.whisperx[471].text |
那連空中巴士都定了2035年他要達到氫能源的飛機的發展那這整個都在走的時候我們當時整個全球的研究那下來是2030年會開始進入技術成熟的推動那到2035年會商轉的成熟期商轉的成熟期 |
transcript.whisperx[472].start |
12651.125 |
transcript.whisperx[472].end |
12670.24 |
transcript.whisperx[472].text |
可是你現在沒有辦法預估?對,那這個過渡期我們用的是藍綠青藍綠青現在是已經在運作了就是有民間廠商在用了然後有我們在準備在法利亞電廠也做類似的實驗但是我是說那如果未來萬一電力的成長有缺口的時候怎麼處理? |
transcript.whisperx[473].start |
12672.506 |
transcript.whisperx[473].end |
12692.352 |
transcript.whisperx[473].text |
那個是我們會滾動式的去去去去挖取他嗎對那何能的那何能會不會成為就是我們在這個缺口外的選擇好像沒有排除我說新的新的呃行政院那個團隊沒有排除是不是呃他是 |
transcript.whisperx[474].start |
12693.217 |
transcript.whisperx[474].end |
12701.382 |
transcript.whisperx[474].text |
他是一個來不及喔就是當我們發現他不足的時候一定會來不及那如果是我們當時是用比較用瓦斯的話那天然氣的話我們可能會採取這個購買國際綠電憑證來彌補 |
transcript.whisperx[475].start |
12708.598 |
transcript.whisperx[475].end |
12712.04 |
transcript.whisperx[475].text |
當要重啟的時候臺電要寫一本非常厚的一個報告書 這個報告書他們大概是要寫一年半 |
transcript.whisperx[476].start |
12725.248 |
transcript.whisperx[476].end |
12753.688 |
transcript.whisperx[476].text |
然後進到河岸會之後河岸會審核大概是一年半以後回復改善那回復改善要多久就要看台電改多久那這個來回的過程裡面應該會在可能會到5年的時間然後之後要得到PA review要找國際電廠來檢核它是不是安全可以開啟所以現在目前的相關的修法是不是趕不及演繹的時間目前來看是趕不及那是不是要修專法 |
transcript.whisperx[477].start |
12755.353 |
transcript.whisperx[477].end |
12779.403 |
transcript.whisperx[477].text |
我對專法不是那麼理解但是就河安會的說法是從現在來看的話他們是認為是來不及那來不及的話可能我們從我們得解決產業的問題的話所以現在就是台電用他現在的方法在做解決那他的方法是什麼就是如果有需要會增加機組那包括幾個那會不會增加碳排 |
transcript.whisperx[478].start |
12781.548 |
transcript.whisperx[478].end |
12785.351 |
transcript.whisperx[478].text |
您們都用購買綠電憑證?沒有,不只綠電憑證,還有碳捕捉技術,還有我們現在實驗藍綠氫的發電。這個計畫其實是比較大的計畫,因為它還有要買藍綠氫的機組。 |
transcript.whisperx[479].start |
12798.901 |
transcript.whisperx[479].end |
12814.762 |
transcript.whisperx[479].text |
可是你們就是說用這樣子藍綠青的機組有辦法降碳排嗎?就是能降多少?因為你們目前規劃是要降多少?藍綠青是零碳排他是零碳排的那我們目標在2030年是要降24% |
transcript.whisperx[480].start |
12816.625 |
transcript.whisperx[480].end |
12818.726 |
transcript.whisperx[480].text |
是因為你沒有辦法預布嗎?還是你沒有確切的目標?沒有 |
transcript.whisperx[481].start |
12833.72 |
transcript.whisperx[481].end |
12845.747 |
transcript.whisperx[481].text |
還是你這個目標沒有辦法跟我們說?不是沒有喔,我們其實我們已經算了我們已經算了那目前從各種我們的路徑減下來的話呢我們目前呢大概還有7%的缺口那會由這個藍綠青來補足這一塊我們目前是這樣還有綠電憑證的購買來補足這一塊 |
transcript.whisperx[482].start |
12851.892 |
transcript.whisperx[482].end |
12857.196 |
transcript.whisperx[482].text |
就是7個那這樣的話目前來看是有機會但是因為這是一個比較大的實驗所以我們還是要看協助他實驗是實驗還是事辦計畫他是一個事辦計畫他實驗兩年了抱歉我講錯了他實驗結束了現在是要進入大量商轉的一個計畫他不是實驗吧因為我們的電力發展是經不起實驗的 |
transcript.whisperx[483].start |
12880.674 |
transcript.whisperx[483].end |
12895.121 |
transcript.whisperx[483].text |
他是一個示範的計畫吧?是不是?示範計畫還有再來就是AI的部分喔那AI是不是就是說在國際上AI都是一個高耗能的這樣子的一個產業喔 |
transcript.whisperx[484].start |
12896.161 |
transcript.whisperx[484].end |
12921.087 |
transcript.whisperx[484].text |
那未來在跨部會的檢討裡面會不會要求AI的資料中心以及AI的整個就是運算的部分必須要使用綠電那如果AI的運算中心要使用綠電的話那到底對於我們綠電的需求會增加多少嗯 |
transcript.whisperx[485].start |
12925.865 |
transcript.whisperx[485].end |
12952.839 |
transcript.whisperx[485].text |
AI中心要不要綠電還是要看廠商所面對的客戶需求然後這個是還是要看廠商的需求那我們政府部門會不會要求就是AI資料中心以及運算他的運算的部分是不是應該要用綠電?這個就我了解目前不然他如果是高耗能的情況下 |
transcript.whisperx[486].start |
12954.264 |
transcript.whisperx[486].end |
12955.444 |
transcript.whisperx[486].text |
接下來我們請李博毅委員請做詢答 |
transcript.whisperx[487].start |
12991.023 |
transcript.whisperx[487].end |
12992.624 |
transcript.whisperx[487].text |
委員會主席劉靜清主委 |
transcript.whisperx[488].start |
13008.397 |
transcript.whisperx[488].end |
13034.503 |
transcript.whisperx[488].text |
過去我曾經在高雄市政府服務過那對於研考對於整個市政府的方向大腦其實我知道這是非常重要的職位那到現在國發會到過去我也看了主委的相關的這些過去的資歷過去為企業領航那現在要為台灣領航我覺得這是非常關鍵的 |
transcript.whisperx[489].start |
13035.663 |
transcript.whisperx[489].end |
13063.648 |
transcript.whisperx[489].text |
那賴總統當然行政院左院長當然用人跳脫框架不是只有人跳脫框架這個人在現在政府的運作的思考應該也要跳脫框架但是又不能跳太開整個領航的過程裡面跳脫框架對於台灣現在主要的產業的需求對於剛剛很多委員垂詢用電到底 |
transcript.whisperx[490].start |
13065.566 |
transcript.whisperx[490].end |
13087.451 |
transcript.whisperx[490].text |
主委的想法看法這幾天很熱鬧你的說法都上了媒體版面到今天的這些回應的過程越來越小心越來越小心的用語當然是好的但是跳脫框架的思考我覺得還是目前臺灣的產業包含電子產業包含半導體產業包含AI未來 |
transcript.whisperx[491].start |
13088.331 |
transcript.whisperx[491].end |
13111.199 |
transcript.whisperx[491].text |
都需要像主委這樣子來為臺灣的這些主要的產業的命脈來帶領幾個問題想要簡單的就叫主委包含黃仁勳現在仍在臺灣他來臺灣絕對不是來吃小吃絕對不是來玩樂他來臺灣一定有相關的想法跟製程想要找臺灣的半導體產業臺積電包括臺積電等等的做一些討論 |
transcript.whisperx[492].start |
13115.72 |
transcript.whisperx[492].end |
13127.588 |
transcript.whisperx[492].text |
那這一些我相信主委也會做相關的掌握之外對於最近的國際情勢包含美國的電動車跟特斯拉跟中國電動車的競爭之間未來台灣有這些關稅的問題未來這些車 |
transcript.whisperx[493].start |
13133.732 |
transcript.whisperx[493].end |
13154.343 |
transcript.whisperx[493].text |
可能進來台灣有可能會影響到台灣相關的產業等等的這些也請主委可以做一些評論跟分析讓我們未來的我們其他的部會有一些想法最重要我曾經在上個月我做了我們男子產業園區的 |
transcript.whisperx[494].start |
13155.384 |
transcript.whisperx[494].end |
13171.476 |
transcript.whisperx[494].text |
議員. |
transcript.whisperx[495].start |
13171.656 |
transcript.whisperx[495].end |
13193.744 |
transcript.whisperx[495].text |
再多的電都不夠企業沒有節制的用電但是企業需要用電再怎麼想辦法我們也要把電生出來這是我在處理這個男子產業園區的用電之後的想法但是隨著過去的產業布局都半導體產業布局都在新竹那現在南台灣包含台南高雄嘉義 |
transcript.whisperx[496].start |
13194.524 |
transcript.whisperx[496].end |
13222.309 |
transcript.whisperx[496].text |
目前的整個台積電的布局也已經逐漸的形成所以有很多相關周邊的這些配置的交通建設在陳建銘院長之前都已經包含國發會都已經開完會的包含高雄的男子交流道引道捷運子線還有台鐵立體化等等的這些也都請主委一併的要對於產業發展之外的這些交通建設一併的做合理的布局來主委請你做一個簡單的回應就我剛剛幾個問題OK |
transcript.whisperx[497].start |
13223.649 |
transcript.whisperx[497].end |
13249.38 |
transcript.whisperx[497].text |
好第一個電動車的部分其實可以看到美國現在的政策是保護國內的電動車產業那台灣現在也正在開始那我不知道現在因為我不是這個全責範圍但是我講國家的整個產業的整體考量還是要必須做一個總檢討的考量那這個是電車的部分那屬於電網的部分目前當然我是 |
transcript.whisperx[498].start |
13253.189 |
transcript.whisperx[498].end |
13267.174 |
transcript.whisperx[498].text |
對於民生用電跟供應用電看起來是可以有有一定的切割所以他的整個管理目前來講我沒有看到特別有很大的問題 |
transcript.whisperx[499].start |
13268.274 |
transcript.whisperx[499].end |
13293.65 |
transcript.whisperx[499].text |
那至於工業區的整體發展目前如果整個交通單位整體單位送上規劃有送上來的話我們在工件上面的重點我們都會陳建仁院長之前合併包含國發會合併的相關的建設也請主委一併的繼續來高雄看一下那也對於周邊的交通產業建設一併的做一些關心那我們同仁寺回報是幾乎都合併的好謝謝好 |
transcript.whisperx[500].start |
13298.235 |
transcript.whisperx[500].end |
13315.671 |
transcript.whisperx[500].text |
現在請舒巧惠委員做詢答舒巧惠委員舒巧惠委員不在現在請陳培宇委員做詢答好謝謝主席那有請主委謝謝國發會主委 |
transcript.whisperx[501].start |
13326.292 |
transcript.whisperx[501].end |
13343.19 |
transcript.whisperx[501].text |
主委辛苦了真的如同剛剛委員說的你願意跳入火坑但是我更要說有來自業界的聲音我相信大家會更樂於有看見像這樣子的主委怎麼說呢因為等一下跟主委討論的相信主委您在過去業界工作經驗當中一定有遇到類似的問題來下一頁 |
transcript.whisperx[502].start |
13345.012 |
transcript.whisperx[502].end |
13348.594 |
transcript.whisperx[502].text |
在國發會的業務報告裡面我們看到國發會說要積極優化投資策略審議還有投資決策的過程然後搭配總統新創地方創生的投資政見要把125億元往後帶到250億未來4年評估增列投資預算目標4年後達到1500億投資量能我們非常樂見這個願景但是我們要跟主委報告一個我們辦公室從過去一年我地補上任之後一直在追蹤的一個議題相信主委您過去的業界經驗 |
transcript.whisperx[503].start |
13374.568 |
transcript.whisperx[503].end |
13374.768 |
transcript.whisperx[503].text |
法規障礙法規障礙 |
transcript.whisperx[504].start |
13396.067 |
transcript.whisperx[504].end |
13417.054 |
transcript.whisperx[504].text |
被罰錢也好、被開罰、或者是被檢舉、同業之間的討論跟競爭甚至是公部門之間對於這些新創事業的不理解導致很多法規確實對於新創事業有很大的障礙尤其在地方創生議題從都市計畫、建管、消防、食品加工、觀光、導覽它都很有可能落入國發會所要輔導 |
transcript.whisperx[505].start |
13418.254 |
transcript.whisperx[505].end |
13419.636 |
transcript.whisperx[505].text |
主委您來自業界你過去在創業或者是在從事產業工作歷程當中你一定有經歷過所謂的法規障礙對不對 |
transcript.whisperx[506].start |
13429.949 |
transcript.whisperx[506].end |
13454.377 |
transcript.whisperx[506].text |
我是我是我們大部分其實都是會盡量閃避法規就是不要去碰它了因為修法都很困難嘛我們有時候會選擇不做或者是做一些比較不觸動法規的事情好但是您現在身為主委我想這個話我們就不要再說我們是不是就想辦法來協助更多地方創生的團隊我來跟主委分享我們遇到哪些問題來下一頁 |
transcript.whisperx[507].start |
13456.658 |
transcript.whisperx[507].end |
13484.813 |
transcript.whisperx[507].text |
我們從去年10月就一直拜託國發會當你們在花很多的經費跟補助給很多地方創生團隊的時候他們所面臨的法規障礙到底國發會了不了解國發會不能只發錢必須要協助這些新創事業進行跨部會法規障礙的溝通結果呢國發會給我們到今年1月為止給我們的資料告訴我們說經營地方小旅行相關事業就會被規定要成立合法的旅行社 |
transcript.whisperx[508].start |
13485.914 |
transcript.whisperx[508].end |
13514.439 |
transcript.whisperx[508].text |
老屋的部分有老屋的問題原住民傳統飲食有原住民傳統飲食跟食品安全衛生法規的問題主委當我們的年輕人帶著熱情帶著熱誠帶著愛故鄉的心回到故鄉做中小型地方創生的時候做地方創生創業的時候我們難道告訴他們就迴避法規嗎所以我相信主委是不是可以從今天開始我們一起來關心這些地方創生事業他們面臨的法規障礙 |
transcript.whisperx[509].start |
13516.547 |
transcript.whisperx[509].end |
13534.858 |
transcript.whisperx[509].text |
好的,我們願意去了解看看有沒有什麼可以改善的有很多很多主委我手上有非常非常多案例可是因為我時間有限可是我們通常都會希望不要只解決個案我們一定有機會透過法規的盤點通案來討論這些事情好不好 |
transcript.whisperx[510].start |
13535.759 |
transcript.whisperx[510].end |
13535.799 |
transcript.whisperx[510].text |
是的。 |
transcript.whisperx[511].start |
13563.154 |
transcript.whisperx[511].end |
13590.791 |
transcript.whisperx[511].text |
好 那我們辦公室最後因為我們辦公室也會積極協助這些地方法規遇到的困境跟障礙可是真的需要你們跨部會協助他們那更多更多詳細的問題跟到底這些問題有哪些面向需要國發會的力量我們之後會再找時間跟國發會積極討論那今天呢因為是主委您第一次業務報告我們就先跟您分享在地方創生也許是過去您比較不熟悉的中小型的、微型的、地方年輕人的是您過去的大型企業所沒有接觸過的對象 |
transcript.whisperx[512].start |
13592.152 |
transcript.whisperx[512].end |
13614.079 |
transcript.whisperx[512].text |
拜託主委您上任之後我們一起來關心這些願意回到地方的年輕人好嗎好的謝謝主委謝謝主席謝謝我們現在請陳冠廷委員做發言陳冠廷委員在陳冠廷委員不在現在請羅明財委員做發言羅明財委員不在羅明財委員不在現在請張祺凱委員做詢答 |
transcript.whisperx[513].start |
13638.737 |
transcript.whisperx[513].end |
13638.838 |
transcript.whisperx[513].text |
主席 |
transcript.whisperx[514].start |
13648.471 |
transcript.whisperx[514].end |
13672.887 |
transcript.whisperx[514].text |
主委你第一遍來,先幫你加油,幫幫你打氣。因為你是AI專家,產業界風評不錯啦。我今天聽你的簡報,過水準。是值得啟齊的國外會主委。謝謝委員。不過,我要提醒,不要背那些背離事實、危言聳聽甚至邏輯不通的話,特別是政治語言的影響。 |
transcript.whisperx[515].start |
13675.793 |
transcript.whisperx[515].end |
13688.196 |
transcript.whisperx[515].text |
大家想像一個畫面現在13位有誰敢試探台積電的商業機密核心價值台積電是我們的護國神山啊怎麼會有立委說我們要去試探把台積電找來試探他的商業機密 |
transcript.whisperx[516].start |
13703.311 |
transcript.whisperx[516].end |
13729.628 |
transcript.whisperx[516].text |
試探他的核心的這個技術那有什麼問題?他一定被罷免嘛對不對?這個政黨要被唾棄嘛所以主委你以後有立委問你政治性的原因不要隨便點頭喔對啊!邱議員邱委員講到立法院之前刑事法第59條15他說這個是侵犯人權嗎?事實是什麼? |
transcript.whisperx[517].start |
13731.345 |
transcript.whisperx[517].end |
13751.54 |
transcript.whisperx[517].text |
立法院之前刑事法第95條講的是什麼?出席人員有下列情形者你是可以拒絕證言的或者你根本就不要講話你可以不要表達意見有下面四項 看這個第一個 涉及到國家安全、國防跟外交之國家機密事項 |
transcript.whisperx[518].start |
13752.659 |
transcript.whisperx[518].end |
13777.531 |
transcript.whisperx[518].text |
第2個,若是辦聽證會.你來出席一列的聽證會調查的目的.跟所提出的結論.或者要對質.你可以拒絕證言.也可以不要表達意見第三個,依照《刑事訴訟法》規定.你可以拒絕的事項第4個放中了,你看涉及受到法律明定.保障之個人隱私或其他秘密事項 |
transcript.whisperx[519].start |
13780.37 |
transcript.whisperx[519].end |
13791.519 |
transcript.whisperx[519].text |
這四個不就是在保障個人跟企業嗎?台積電第一個不會被找來啊!第一個找來所有的企業跟個人都收到保障啊!這給邱委員講的95條59條之5的真相第二個我們看看59條之1什麼東西都要講給立委聽嗎?NO! |
transcript.whisperx[520].start |
13802.827 |
transcript.whisperx[520].end |
13822.544 |
transcript.whisperx[520].text |
有7萬人選嗎?尤其是涉及外交跟國防或者其他法令應該遵守秘密的要開什麼?秘密會議耶!秘密會議任何人在這邊喔!包括立法院聽出來他如果洩密是要法辦的!聽證會一定要公開嗎?也NO喔!不是喔! |
transcript.whisperx[521].start |
13823.991 |
transcript.whisperx[521].end |
13845.079 |
transcript.whisperx[521].text |
如果有以下的條件要開這個聽證會.他可以不公開用秘密的方式來做聽證.第一,如果牽涉到個人的隱私遭受到不當的侵害之餘.第二,個人的生命或身體或其他自由遭受到威脅.第三個重點,就是說台積電或任何企業邀請到我們的地方 |
transcript.whisperx[522].start |
13846.701 |
transcript.whisperx[522].end |
13860.752 |
transcript.whisperx[522].text |
我先強調平常立法院要辦要企業來幾乎是非常非常不可能的所以你牽涉到的是非常大的公眾這個利益台積電沒有犯法為什麼要找台積電來呢我們去統計了第4屆到第10屆所有辦的這個調查委員會 |
transcript.whisperx[523].start |
13866.756 |
transcript.whisperx[523].end |
13889.131 |
transcript.whisperx[523].text |
第4屆到第10每一屆你未繫尼才辦4次的調查委員會等於1年才一次很嚴格而且有這麼多的規定你看這個條文的第三條有牽扯到營業秘密遭受到不當侵害之餘你可以不要講話而且開秘密會議所以台積電的know-how怎麼會流出去呢? |
transcript.whisperx[524].start |
13893.168 |
transcript.whisperx[524].end |
13911.223 |
transcript.whisperx[524].text |
好,剛剛邱委員委員又提到一個很嚴重的這個事情這個事情歐洲商務已經澄清了好幾次了嘛他引述了,現在已經傳的東西這個文章,這個文章也作者方英格印出來澄清啊他說他那個講過什麼台灣的國會改革是什麼荒謬他說這個荒謬的詞是誰講的? |
transcript.whisperx[525].start |
13915.342 |
transcript.whisperx[525].end |
13938.221 |
transcript.whisperx[525].text |
林晉棟、立法院的好專員林智傑他特別澄清喔 這個不代表他的立場也不代表歐洲商會的立場 重點還不會過位他完全 他說我的文章 你們引述我的文章我的文章裡面寫得清清楚楚 沒有寫到會影響到跨國企業投資台灣的意願所以 主委你是很壯硬的 大家對你是有期許的 |
transcript.whisperx[526].start |
13939.673 |
transcript.whisperx[526].end |
13960.59 |
transcript.whisperx[526].text |
你來這邊當然會碰到一些政治的語言可是政治語言你不要隨便點頭我剛剛這樣一路解釋清楚沒有侵犯到人權沒有侵犯到企業而且你看歐洲商會澳洲我們這次這個修法很重要就跟美國學啊調查權跟聽證會不就是跟美國學跟歐洲重要的國家學啊包括帝國、法國、英國啊 |
transcript.whisperx[527].start |
13962.147 |
transcript.whisperx[527].end |
13983.16 |
transcript.whisperx[527].text |
澳洲的國家怎麼會反對呢?所以對於政治性的語言我們今天把它解釋清楚好 主委我們來談一下用電的問題你是AI的專家你為了理想要落實AI的產業化但是現在大家都問一個同樣的問題我們台灣的發電你看下一張台灣的發電在你積極要推動的這個AI |
transcript.whisperx[528].start |
13988.803 |
transcript.whisperx[528].end |
13998.365 |
transcript.whisperx[528].text |
在市區的公車電動化、電動車的興起、在市的半導體、精密晶片的這個發展這都很耗電對不對? |
transcript.whisperx[529].start |
14000.308 |
transcript.whisperx[529].end |
14028.102 |
transcript.whisperx[529].text |
這都非常耗電嘛,所以你現在的重責大任是什麼?要供應一個非常充裕而且便宜的這個電我知道早上已經很多人問過你核電的事情,我們看一下,簡單看一下三位經濟部長到童子賢跟你的上一任拱明星都提過,我們一直跳下來我今天只有問一個最重要的事情,我請教你連D7,七個主要的工業國他都講了,不再反對核能,我們再往下看 |
transcript.whisperx[530].start |
14030.782 |
transcript.whisperx[530].end |
14034.661 |
transcript.whisperx[530].text |
你說你不排斥嘛可是有三個原則啦當然你今天已經解釋很多個了 |
transcript.whisperx[531].start |
14036.121 |
transcript.whisperx[531].end |
14063.123 |
transcript.whisperx[531].text |
我最關心的是什麼AI又增加了三成以上的這個電力今天人經濟部的處長他也是很專業嘛對不對他都出來講了至少一年要增加3%嘛那我要問喔用這個很簡單的數學問題你要增加3%的這個用電你要講AI產業增加三成可是我們今年7月27可是三成醫藥機就停了明年的517又停了 |
transcript.whisperx[532].start |
14064.343 |
transcript.whisperx[532].end |
14064.583 |
transcript.whisperx[532].text |
三天一次會議 |
transcript.whisperx[533].start |
14079.863 |
transcript.whisperx[533].end |
14102.177 |
transcript.whisperx[533].text |
這個台電是有準備機組啦但是他現在的準備機組還是在以天然氣為主啦我就台電的說明以廢發電嘛對不對因為台電一定跳起來啊一定跳起來嘛所以不好意思因為今天我比較激動因為我要澄清很多的真相這對錢比跟對企業都很重要的我最後做一個最後的一個要求來 |
transcript.whisperx[534].start |
14104.593 |
transcript.whisperx[534].end |
14120.602 |
transcript.whisperx[534].text |
民進黨進步能夠打破八年這個魔咒代表他們要承擔更大的這個責任現在不能只有臺灣民眾黨像我在經濟委員會我不得提案我們要解決核電廠、核三廠能不能業力這個問題國民黨已經提案了可是更需要承擔的是誰執政黨啊包括你國發會的主委 |
transcript.whisperx[535].start |
14122.677 |
transcript.whisperx[535].end |
14148.413 |
transcript.whisperx[535].text |
你現在不是只有聽台電的講話或是說你數學的問題你用電量一直在增加對不對包括AI的產業要發展半導體你看台積電一直在新的擴廠嘛對不對像我家裡人他要來嘉義設廠我都很高興啊問你電到底夠不夠所以我做一個具體的一個建議請你要可能至少這三點要很注意的核電到底要不要用你們可以考慮可是相對的至少這三個目的要轉去改觀 |
transcript.whisperx[536].start |
14149.033 |
transcript.whisperx[536].end |
14173.998 |
transcript.whisperx[536].text |
第一個新北市跟台電那個干涉雛雲草這個爭議不要擺在那邊互相踢皮球我對中央政府有責任去給它處理得好一點第二個合同如果嚴厲就是你剛才講的有碰到法規問題要五年嘛可是不能夠等停電跳電大停電的時候還說不會有啊你要把它準備好嘛所以這個法定到底有沒有可能解得開你像美國的例子美國加州啊 |
transcript.whisperx[537].start |
14174.895 |
transcript.whisperx[537].end |
14192.626 |
transcript.whisperx[537].text |
他就突然發現電池不夠了啊他本來核電廠也是這樣沿的對不對他就同時一邊檢查他是安全一邊就沿用啊德國在碰到烏合戰爭的時候也是這樣子啊他本來要停了緊急修法經過安全之後又用了一段時間嘛這個有潛力可行啊美國加州的歷史 |
transcript.whisperx[538].start |
14193.882 |
transcript.whisperx[538].end |
14193.902 |
transcript.whisperx[538].text |
謝謝委員 |
transcript.whisperx[539].start |
14215.402 |
transcript.whisperx[539].end |
14241.922 |
transcript.whisperx[539].text |
現在請王美惠委員做詢答王美惠委員王美惠委員不在現在請徐欣盈委員做詢答徐欣盈委員徐欣盈委員不在現在請蔡易瑜委員做詢答謝謝主席那我們是不是有請劉主委劉主委 |
transcript.whisperx[540].start |
14253.197 |
transcript.whisperx[540].end |
14266.374 |
transcript.whisperx[540].text |
主委,我想跟您請教一下,因為現在我們看到很多的企業,包括台積電,包括聯電,包括鴻海,他們都宣誓要加入RE100 |
transcript.whisperx[541].start |
14267.825 |
transcript.whisperx[541].end |
14292.101 |
transcript.whisperx[541].text |
所以加入R100的台灣企業可以說是越來越多那甚至有些企業他還自我要求包括台積電他認為說他本來預計是2050年達到R100那還說要提早10年那如果以這樣來說的話為什麼這些企業都要積極的要進入R100的一個自我要求呢? |
transcript.whisperx[542].start |
14294.438 |
transcript.whisperx[542].end |
14318.852 |
transcript.whisperx[542].text |
我的前公司也是R100的企業主要都是基於企業社會責任那第二個大家認為對地球暖化必須扮演一部分重要的責任所以大家就加入就大家會加入那請教主委這個R100它包括的其中一個叫做說承諾100%的使用再生能源那這個再生能源到底包括不包括核電 |
transcript.whisperx[543].start |
14320.453 |
transcript.whisperx[543].end |
14335.955 |
transcript.whisperx[543].text |
再生能源不包括核電那也就是說這一些企業他們要未來他們使用核電就是不使用核電他們會100%的使用再生能源那這再生能源不包括核電也不包括火力發電 |
transcript.whisperx[544].start |
14336.596 |
transcript.whisperx[544].end |
14362.244 |
transcript.whisperx[544].text |
對﹖ |
transcript.whisperx[545].start |
14362.604 |
transcript.whisperx[545].end |
14381.534 |
transcript.whisperx[545].text |
那就是說這樣就好多企業啊、台積電啊﹖未來他要用的電他也要達到RE100﹖他就是100分之100﹖我就是要太陽能或是風電﹖或者是有其他更新更環保的能源出來﹖是的﹖沒有錯吧﹖好這是第一個﹖第二個就是說﹖好那你現在核電 |
transcript.whisperx[546].start |
14382.962 |
transcript.whisperx[546].end |
14396.971 |
transcript.whisperx[546].text |
在歐盟已經陸續把核電認為說他是屬於綠電的一種綠電沒有還沒有他是要得到最終儲存的才可以提出來就是說前提就是要最終儲存 |
transcript.whisperx[547].start |
14398.152 |
transcript.whisperx[547].end |
14399.412 |
transcript.whisperx[547].text |
這個我不是那麼理解可能要再問 |
transcript.whisperx[548].start |
14429.916 |
transcript.whisperx[548].end |
14441.924 |
transcript.whisperx[548].text |
我們沒有辦法處理因為這個最終儲存也不可以到國外他必須在國內目前我們只能做乾式儲存我們目前都是乾式儲存我們沒有一個地方是最終儲存場所以在這個前提之下 |
transcript.whisperx[549].start |
14447.088 |
transcript.whisperx[549].end |
14468.681 |
transcript.whisperx[549].text |
我們的核電他也沒有進入到歐盟他認為說已經有最終儲存的一個核電有辦法最終這個東西可以處理得更好所以你看起來就是說台灣目前的核電除非又有更先進的核融合的技術的產生不然以現在這樣的核電然後沒有辦法最終儲存的話 |
transcript.whisperx[550].start |
14469.201 |
transcript.whisperx[550].end |
14487.09 |
transcript.whisperx[550].text |
基本上又不符合歐盟定義的綠電也不屬於RE100要求企業要100%的再生能源的電力沒有錯吧是的那以這樣的前提之下我覺得我們台灣的整個用電的發展目前走的這條路就是正確的 |
transcript.whisperx[551].start |
14489.549 |
transcript.whisperx[551].end |
14511.12 |
transcript.whisperx[551].text |
注意,我是覺得我們要對大家的腳步,我們要有信心。我們不能說大家,就是說很多事業的發展,你說風電、綠電的發展,也許在開發的過程中,有些生意人他已經用了一些比較不乾淨的手段,然後他必須要被繩之以法,這個我們都主張這個要嚴辦。 |
transcript.whisperx[552].start |
14513.571 |
transcript.whisperx[552].end |
14522.916 |
transcript.whisperx[552].text |
他用不乾淨的手段去取得到發電的資格,這要他頒,這要他發電資格,要他拿回去,這我們都支持啊。但是你不能因為這幾個老鼠屎,你知道我們整個醫療都沒得吃嗎? |
transcript.whisperx[553].start |
14532.38 |
transcript.whisperx[553].end |
14559.516 |
transcript.whisperx[553].text |
我都不吃肉,他有吃肉可能就有老鼠屎,怎麼可以變這樣呢?所以我是覺得說我們的產業、我們的用電的一個政策,我們還是要把它抓緊方向,然後不能夠這樣一直調進、一直調進,然後又找不到最好的方法,這樣反而是讓我們好不容易跨出了這一步,而且已經走到了整個再生能源的比例一直在翻高的時候,我們現在如果說這樣起來是不對的,我覺得不能這樣,好不好? |
transcript.whisperx[554].start |
14563.658 |
transcript.whisperx[554].end |
14584.032 |
transcript.whisperx[554].text |
謝謝第二個就是我想要跟主委聊一下因為我們國發會畢竟是掌管我們國家的整個 那就不會輸 整台車你算發很多入的啦 整個風雄主委你要去聽那我一直覺得台灣有一個單位特別保守 就是食藥署 |
transcript.whisperx[555].start |
14585.886 |
transcript.whisperx[555].end |
14614.775 |
transcript.whisperx[555].text |
食藥署的保守就是說事實上我們看到有好多齁所謂我們先不要說藥品還是保健食品這些都讓他們未來去定義可是我們看到台灣人很多會到國外去買藥品回來包括說現在有很多人說因為不要說療效我們就說像退黑激素像現在有很有名的叫做NNN這個叫做什麼燕瘤這名字我不會唸NNN療法喔好多人去國外買 |
transcript.whisperx[556].start |
14616.537 |
transcript.whisperx[556].end |
14626.448 |
transcript.whisperx[556].text |
去國外然後去買回來為什麼呢?就是我們食藥署不允許在國內銷售那又因為不允許在國內銷售就創造了很多騙局 |
transcript.whisperx[557].start |
14628.609 |
transcript.whisperx[557].end |
14655.66 |
transcript.whisperx[557].text |
你只要主委你可以去網路你去google一下你打這三個字NNN他就會出現的叫做NNN騙局這個騙局是怎樣?因為台灣沒辦法合法銷售所以就有很多不肖的廠商他就在裡面的身份有沒有也沒有他就在那個標籤在你logo這樣打起來就很多人趨之若鶩因為這個東西現在要去國外買回來然後如果水貨回來再轉手賣都好貴 |
transcript.whisperx[558].start |
14657.769 |
transcript.whisperx[558].end |
14683.508 |
transcript.whisperx[558].text |
就好多人會趨之若鶩說有這種可以買的比較便宜我去買,結果後來發現說它的療效又沒有符合應該要有的標準就變成說我們的食藥署把很多東西聚資一些比較先進的一些科學的一些技術我們都把它聚資千里之外都不讓它進來然後後來就會變成說有一些不孝的廠商 |
transcript.whisperx[559].start |
14684.656 |
transcript.whisperx[559].end |
14684.676 |
transcript.whisperx[559].text |
好,謝謝 |
transcript.whisperx[560].start |
14717.385 |
transcript.whisperx[560].end |
14741.791 |
transcript.whisperx[560].text |
謝謝接下來我們請賴會員、賴會員、賴會員、賴會員、委員不在現場好,報告委員會我們發言的登記範圍的委員除了不在場之外其餘都已經發言完畢、詢答結束我們由委員林黛樺委員、陳冠廷委員所提的書面執行列入記錄刊登公報那書面執行以及未及答覆的部分請相關單位一周之內 |
transcript.whisperx[561].start |
14742.611 |
transcript.whisperx[561].end |
14765.487 |
transcript.whisperx[561].text |
以書面答覆並複製本會本日所列的議程處理完畢我們要謝謝劉朱偉以及列席的官員媒體朋友以及各位同仁大家辛苦了我相信經過早上一整個早上劉朱偉應該會很快適應好我們現在謝謝一次主任委員謝謝散會 |
transcript.whisperx[562].start |
14792.291 |
transcript.whisperx[562].end |
14792.652 |
transcript.whisperx[562].text |
議員會主席 |
transcript.whisperx[563].start |
14821.661 |
transcript.whisperx[563].end |
14821.921 |
transcript.whisperx[563].text |
委員會主席 |
transcript.whisperx[564].start |
14844.833 |
transcript.whisperx[564].end |
14845.653 |
transcript.whisperx[564].text |
委員會主任委員會主席 |
transcript.whisperx[565].start |
14873.66 |
transcript.whisperx[565].end |
14874.321 |
transcript.whisperx[565].text |
多謝您的收看。 |