IVOD_ID |
15999 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Full/1M/15999 |
日期 |
2024-06-12 |
會議資料.會議代碼 |
委員會-11-1-19-16 |
會議資料.會議代碼:str |
第11屆第1會期經濟委員會第16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 |
16 |
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16次全體委員會議 |
影片種類 |
Full |
開始時間 |
2024-06-12T08:31:03+08:00 |
結束時間 |
2024-06-12T12:54:00+08:00 |
影片長度 |
04:22:57 |
支援功能[0] |
ai-transcript |
video_url |
https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/16eb79f0bb3b77db38aadac80e2e3f80d6a76734f739918219186e52af124432f7bb005c3c07a2cf5ea18f28b6918d91.mp4/playlist.m3u8 |
會議時間 |
2024-06-12T09:00:00+08:00 |
會議名稱 |
立法院第11屆第1會期經濟委員會第16次全體委員會議(事由:邀請國家發展委員會主任委員、經濟部部長、國家科學及技術委員會首長、數位發展部首長、教育部首長就「為掌握生成式AI等關鍵技術帶來的產業革命機會,台灣要如何深化AI生態系及充實AI人才與產業AI化,促動台灣產業數位轉型與運用AI賦能升級,擴展產業發展,打造智慧未來」進行報告,並備質詢。【6月12日及6月13日兩天一次會】) |
委員名稱 |
完整會議 |
委員發言時間 |
08:31:03 - 12:54:00 |
transcript.pyannote[0].speaker |
SPEAKER_25 |
transcript.pyannote[0].start |
662.52659375 |
transcript.pyannote[0].end |
662.81346875 |
transcript.pyannote[1].speaker |
SPEAKER_28 |
transcript.pyannote[1].start |
697.17096875 |
transcript.pyannote[1].end |
697.86284375 |
transcript.pyannote[2].speaker |
SPEAKER_28 |
transcript.pyannote[2].start |
697.91346875 |
transcript.pyannote[2].end |
697.94721875 |
transcript.pyannote[3].speaker |
SPEAKER_28 |
transcript.pyannote[3].start |
697.96409375 |
transcript.pyannote[3].end |
699.58409375 |
transcript.pyannote[4].speaker |
SPEAKER_28 |
transcript.pyannote[4].start |
955.20659375 |
transcript.pyannote[4].end |
955.81409375 |
transcript.pyannote[5].speaker |
SPEAKER_15 |
transcript.pyannote[5].start |
1754.84534375 |
transcript.pyannote[5].end |
1755.65534375 |
transcript.pyannote[6].speaker |
SPEAKER_15 |
transcript.pyannote[6].start |
1756.58346875 |
transcript.pyannote[6].end |
1759.21596875 |
transcript.pyannote[7].speaker |
SPEAKER_33 |
transcript.pyannote[7].start |
1760.58284375 |
transcript.pyannote[7].end |
1761.47721875 |
transcript.pyannote[8].speaker |
SPEAKER_33 |
transcript.pyannote[8].start |
1761.84846875 |
transcript.pyannote[8].end |
1764.02534375 |
transcript.pyannote[9].speaker |
SPEAKER_15 |
transcript.pyannote[9].start |
1764.81846875 |
transcript.pyannote[9].end |
1768.34534375 |
transcript.pyannote[10].speaker |
SPEAKER_15 |
transcript.pyannote[10].start |
1768.39596875 |
transcript.pyannote[10].end |
1771.82159375 |
transcript.pyannote[11].speaker |
SPEAKER_12 |
transcript.pyannote[11].start |
1773.20534375 |
transcript.pyannote[11].end |
1787.16096875 |
transcript.pyannote[12].speaker |
SPEAKER_12 |
transcript.pyannote[12].start |
1787.29596875 |
transcript.pyannote[12].end |
1789.72596875 |
transcript.pyannote[13].speaker |
SPEAKER_12 |
transcript.pyannote[13].start |
1789.96221875 |
transcript.pyannote[13].end |
1795.80096875 |
transcript.pyannote[14].speaker |
SPEAKER_12 |
transcript.pyannote[14].start |
1796.81346875 |
transcript.pyannote[14].end |
1806.41534375 |
transcript.pyannote[15].speaker |
SPEAKER_12 |
transcript.pyannote[15].start |
1806.73596875 |
transcript.pyannote[15].end |
1814.19471875 |
transcript.pyannote[16].speaker |
SPEAKER_12 |
transcript.pyannote[16].start |
1814.43096875 |
transcript.pyannote[16].end |
1818.61596875 |
transcript.pyannote[17].speaker |
SPEAKER_12 |
transcript.pyannote[17].start |
1818.81846875 |
transcript.pyannote[17].end |
1822.53096875 |
transcript.pyannote[18].speaker |
SPEAKER_12 |
transcript.pyannote[18].start |
1822.78409375 |
transcript.pyannote[18].end |
1829.53409375 |
transcript.pyannote[19].speaker |
SPEAKER_04 |
transcript.pyannote[19].start |
1829.95596875 |
transcript.pyannote[19].end |
1830.39471875 |
transcript.pyannote[20].speaker |
SPEAKER_15 |
transcript.pyannote[20].start |
1832.18346875 |
transcript.pyannote[20].end |
1839.84471875 |
transcript.pyannote[21].speaker |
SPEAKER_15 |
transcript.pyannote[21].start |
1840.01346875 |
transcript.pyannote[21].end |
1840.03034375 |
transcript.pyannote[22].speaker |
SPEAKER_15 |
transcript.pyannote[22].start |
1840.06409375 |
transcript.pyannote[22].end |
1842.83159375 |
transcript.pyannote[23].speaker |
SPEAKER_12 |
transcript.pyannote[23].start |
1843.45596875 |
transcript.pyannote[23].end |
1870.23659375 |
transcript.pyannote[24].speaker |
SPEAKER_12 |
transcript.pyannote[24].start |
1870.75971875 |
transcript.pyannote[24].end |
1876.07534375 |
transcript.pyannote[25].speaker |
SPEAKER_15 |
transcript.pyannote[25].start |
1875.58596875 |
transcript.pyannote[25].end |
1877.96534375 |
transcript.pyannote[26].speaker |
SPEAKER_15 |
transcript.pyannote[26].start |
1878.75846875 |
transcript.pyannote[26].end |
1879.31534375 |
transcript.pyannote[27].speaker |
SPEAKER_15 |
transcript.pyannote[27].start |
1879.48409375 |
transcript.pyannote[27].end |
1919.19096875 |
transcript.pyannote[28].speaker |
SPEAKER_15 |
transcript.pyannote[28].start |
1919.39346875 |
transcript.pyannote[28].end |
1921.55346875 |
transcript.pyannote[29].speaker |
SPEAKER_15 |
transcript.pyannote[29].start |
1923.34221875 |
transcript.pyannote[29].end |
1923.64596875 |
transcript.pyannote[30].speaker |
SPEAKER_15 |
transcript.pyannote[30].start |
1924.59096875 |
transcript.pyannote[30].end |
1931.52659375 |
transcript.pyannote[31].speaker |
SPEAKER_15 |
transcript.pyannote[31].start |
1933.06221875 |
transcript.pyannote[31].end |
1933.60221875 |
transcript.pyannote[32].speaker |
SPEAKER_15 |
transcript.pyannote[32].start |
1933.88909375 |
transcript.pyannote[32].end |
1935.99846875 |
transcript.pyannote[33].speaker |
SPEAKER_15 |
transcript.pyannote[33].start |
1936.15034375 |
transcript.pyannote[33].end |
1937.02784375 |
transcript.pyannote[34].speaker |
SPEAKER_15 |
transcript.pyannote[34].start |
1939.98096875 |
transcript.pyannote[34].end |
1941.83721875 |
transcript.pyannote[35].speaker |
SPEAKER_15 |
transcript.pyannote[35].start |
1942.34346875 |
transcript.pyannote[35].end |
1943.49096875 |
transcript.pyannote[36].speaker |
SPEAKER_15 |
transcript.pyannote[36].start |
1943.92971875 |
transcript.pyannote[36].end |
1945.21221875 |
transcript.pyannote[37].speaker |
SPEAKER_15 |
transcript.pyannote[37].start |
1947.37221875 |
transcript.pyannote[37].end |
1951.06784375 |
transcript.pyannote[38].speaker |
SPEAKER_15 |
transcript.pyannote[38].start |
1953.71721875 |
transcript.pyannote[38].end |
1957.73346875 |
transcript.pyannote[39].speaker |
SPEAKER_15 |
transcript.pyannote[39].start |
1959.52221875 |
transcript.pyannote[39].end |
1960.29846875 |
transcript.pyannote[40].speaker |
SPEAKER_15 |
transcript.pyannote[40].start |
1962.08721875 |
transcript.pyannote[40].end |
1967.18346875 |
transcript.pyannote[41].speaker |
SPEAKER_15 |
transcript.pyannote[41].start |
1967.53784375 |
transcript.pyannote[41].end |
1967.80784375 |
transcript.pyannote[42].speaker |
SPEAKER_16 |
transcript.pyannote[42].start |
1981.74659375 |
transcript.pyannote[42].end |
1983.38346875 |
transcript.pyannote[43].speaker |
SPEAKER_16 |
transcript.pyannote[43].start |
1983.78846875 |
transcript.pyannote[43].end |
1984.05846875 |
transcript.pyannote[44].speaker |
SPEAKER_16 |
transcript.pyannote[44].start |
1984.36221875 |
transcript.pyannote[44].end |
1991.12909375 |
transcript.pyannote[45].speaker |
SPEAKER_16 |
transcript.pyannote[45].start |
1991.55096875 |
transcript.pyannote[45].end |
2016.05346875 |
transcript.pyannote[46].speaker |
SPEAKER_16 |
transcript.pyannote[46].start |
2016.35721875 |
transcript.pyannote[46].end |
2023.22534375 |
transcript.pyannote[47].speaker |
SPEAKER_16 |
transcript.pyannote[47].start |
2023.37721875 |
transcript.pyannote[47].end |
2027.42721875 |
transcript.pyannote[48].speaker |
SPEAKER_16 |
transcript.pyannote[48].start |
2027.96721875 |
transcript.pyannote[48].end |
2119.19346875 |
transcript.pyannote[49].speaker |
SPEAKER_16 |
transcript.pyannote[49].start |
2119.54784375 |
transcript.pyannote[49].end |
2183.18346875 |
transcript.pyannote[50].speaker |
SPEAKER_16 |
transcript.pyannote[50].start |
2183.89221875 |
transcript.pyannote[50].end |
2188.09409375 |
transcript.pyannote[51].speaker |
SPEAKER_16 |
transcript.pyannote[51].start |
2188.60034375 |
transcript.pyannote[51].end |
2197.12221875 |
transcript.pyannote[52].speaker |
SPEAKER_16 |
transcript.pyannote[52].start |
2197.49346875 |
transcript.pyannote[52].end |
2210.65596875 |
transcript.pyannote[53].speaker |
SPEAKER_16 |
transcript.pyannote[53].start |
2210.92596875 |
transcript.pyannote[53].end |
2211.78659375 |
transcript.pyannote[54].speaker |
SPEAKER_16 |
transcript.pyannote[54].start |
2212.27596875 |
transcript.pyannote[54].end |
2224.79721875 |
transcript.pyannote[55].speaker |
SPEAKER_16 |
transcript.pyannote[55].start |
2225.03346875 |
transcript.pyannote[55].end |
2229.30284375 |
transcript.pyannote[56].speaker |
SPEAKER_16 |
transcript.pyannote[56].start |
2229.94409375 |
transcript.pyannote[56].end |
2260.47096875 |
transcript.pyannote[57].speaker |
SPEAKER_16 |
transcript.pyannote[57].start |
2260.89284375 |
transcript.pyannote[57].end |
2269.44846875 |
transcript.pyannote[58].speaker |
SPEAKER_16 |
transcript.pyannote[58].start |
2269.97159375 |
transcript.pyannote[58].end |
2303.82284375 |
transcript.pyannote[59].speaker |
SPEAKER_16 |
transcript.pyannote[59].start |
2304.16034375 |
transcript.pyannote[59].end |
2312.74971875 |
transcript.pyannote[60].speaker |
SPEAKER_16 |
transcript.pyannote[60].start |
2313.30659375 |
transcript.pyannote[60].end |
2313.76221875 |
transcript.pyannote[61].speaker |
SPEAKER_16 |
transcript.pyannote[61].start |
2313.98159375 |
transcript.pyannote[61].end |
2316.24284375 |
transcript.pyannote[62].speaker |
SPEAKER_16 |
transcript.pyannote[62].start |
2316.58034375 |
transcript.pyannote[62].end |
2326.89096875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
2324.71409375 |
transcript.pyannote[63].end |
2324.73096875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
2324.74784375 |
transcript.pyannote[64].end |
2324.76471875 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
2324.78159375 |
transcript.pyannote[65].end |
2324.79846875 |
transcript.pyannote[66].speaker |
SPEAKER_16 |
transcript.pyannote[66].start |
2327.65034375 |
transcript.pyannote[66].end |
2330.36721875 |
transcript.pyannote[67].speaker |
SPEAKER_16 |
transcript.pyannote[67].start |
2330.80596875 |
transcript.pyannote[67].end |
2340.17159375 |
transcript.pyannote[68].speaker |
SPEAKER_16 |
transcript.pyannote[68].start |
2340.84659375 |
transcript.pyannote[68].end |
2344.30596875 |
transcript.pyannote[69].speaker |
SPEAKER_16 |
transcript.pyannote[69].start |
2344.66034375 |
transcript.pyannote[69].end |
2359.88159375 |
transcript.pyannote[70].speaker |
SPEAKER_16 |
transcript.pyannote[70].start |
2360.50596875 |
transcript.pyannote[70].end |
2360.55659375 |
transcript.pyannote[71].speaker |
SPEAKER_16 |
transcript.pyannote[71].start |
2360.65784375 |
transcript.pyannote[71].end |
2362.39596875 |
transcript.pyannote[72].speaker |
SPEAKER_16 |
transcript.pyannote[72].start |
2362.73346875 |
transcript.pyannote[72].end |
2390.61096875 |
transcript.pyannote[73].speaker |
SPEAKER_16 |
transcript.pyannote[73].start |
2391.16784375 |
transcript.pyannote[73].end |
2421.91409375 |
transcript.pyannote[74].speaker |
SPEAKER_16 |
transcript.pyannote[74].start |
2422.26846875 |
transcript.pyannote[74].end |
2424.69846875 |
transcript.pyannote[75].speaker |
SPEAKER_16 |
transcript.pyannote[75].start |
2424.93471875 |
transcript.pyannote[75].end |
2455.09034375 |
transcript.pyannote[76].speaker |
SPEAKER_16 |
transcript.pyannote[76].start |
2455.41096875 |
transcript.pyannote[76].end |
2459.25846875 |
transcript.pyannote[77].speaker |
SPEAKER_16 |
transcript.pyannote[77].start |
2459.96721875 |
transcript.pyannote[77].end |
2467.66221875 |
transcript.pyannote[78].speaker |
SPEAKER_16 |
transcript.pyannote[78].start |
2468.18534375 |
transcript.pyannote[78].end |
2481.76971875 |
transcript.pyannote[79].speaker |
SPEAKER_16 |
transcript.pyannote[79].start |
2482.00596875 |
transcript.pyannote[79].end |
2487.38909375 |
transcript.pyannote[80].speaker |
SPEAKER_16 |
transcript.pyannote[80].start |
2487.91221875 |
transcript.pyannote[80].end |
2489.81909375 |
transcript.pyannote[81].speaker |
SPEAKER_16 |
transcript.pyannote[81].start |
2491.18596875 |
transcript.pyannote[81].end |
2494.10534375 |
transcript.pyannote[82].speaker |
SPEAKER_16 |
transcript.pyannote[82].start |
2494.29096875 |
transcript.pyannote[82].end |
2497.44659375 |
transcript.pyannote[83].speaker |
SPEAKER_16 |
transcript.pyannote[83].start |
2498.20596875 |
transcript.pyannote[83].end |
2508.68534375 |
transcript.pyannote[84].speaker |
SPEAKER_16 |
transcript.pyannote[84].start |
2509.25909375 |
transcript.pyannote[84].end |
2523.85596875 |
transcript.pyannote[85].speaker |
SPEAKER_16 |
transcript.pyannote[85].start |
2524.12596875 |
transcript.pyannote[85].end |
2528.59784375 |
transcript.pyannote[86].speaker |
SPEAKER_16 |
transcript.pyannote[86].start |
2528.68221875 |
transcript.pyannote[86].end |
2531.19659375 |
transcript.pyannote[87].speaker |
SPEAKER_16 |
transcript.pyannote[87].start |
2531.50034375 |
transcript.pyannote[87].end |
2598.22409375 |
transcript.pyannote[88].speaker |
SPEAKER_16 |
transcript.pyannote[88].start |
2599.03409375 |
transcript.pyannote[88].end |
2642.92596875 |
transcript.pyannote[89].speaker |
SPEAKER_16 |
transcript.pyannote[89].start |
2643.41534375 |
transcript.pyannote[89].end |
2647.56659375 |
transcript.pyannote[90].speaker |
SPEAKER_16 |
transcript.pyannote[90].start |
2647.98846875 |
transcript.pyannote[90].end |
2652.51096875 |
transcript.pyannote[91].speaker |
SPEAKER_16 |
transcript.pyannote[91].start |
2652.81471875 |
transcript.pyannote[91].end |
2687.62784375 |
transcript.pyannote[92].speaker |
SPEAKER_16 |
transcript.pyannote[92].start |
2688.06659375 |
transcript.pyannote[92].end |
2694.85034375 |
transcript.pyannote[93].speaker |
SPEAKER_16 |
transcript.pyannote[93].start |
2695.08659375 |
transcript.pyannote[93].end |
2697.60096875 |
transcript.pyannote[94].speaker |
SPEAKER_16 |
transcript.pyannote[94].start |
2697.97221875 |
transcript.pyannote[94].end |
2775.20909375 |
transcript.pyannote[95].speaker |
SPEAKER_16 |
transcript.pyannote[95].start |
2775.69846875 |
transcript.pyannote[95].end |
2777.23409375 |
transcript.pyannote[96].speaker |
SPEAKER_16 |
transcript.pyannote[96].start |
2777.74034375 |
transcript.pyannote[96].end |
2781.50346875 |
transcript.pyannote[97].speaker |
SPEAKER_16 |
transcript.pyannote[97].start |
2781.82409375 |
transcript.pyannote[97].end |
2799.88034375 |
transcript.pyannote[98].speaker |
SPEAKER_15 |
transcript.pyannote[98].start |
2802.69846875 |
transcript.pyannote[98].end |
2808.08159375 |
transcript.pyannote[99].speaker |
SPEAKER_15 |
transcript.pyannote[99].start |
2808.45284375 |
transcript.pyannote[99].end |
2809.14471875 |
transcript.pyannote[100].speaker |
SPEAKER_05 |
transcript.pyannote[100].start |
2814.40971875 |
transcript.pyannote[100].end |
2814.76409375 |
transcript.pyannote[101].speaker |
SPEAKER_04 |
transcript.pyannote[101].start |
2836.93784375 |
transcript.pyannote[101].end |
2837.08971875 |
transcript.pyannote[102].speaker |
SPEAKER_27 |
transcript.pyannote[102].start |
2837.08971875 |
transcript.pyannote[102].end |
2837.12346875 |
transcript.pyannote[103].speaker |
SPEAKER_04 |
transcript.pyannote[103].start |
2837.12346875 |
transcript.pyannote[103].end |
2837.19096875 |
transcript.pyannote[104].speaker |
SPEAKER_27 |
transcript.pyannote[104].start |
2837.19096875 |
transcript.pyannote[104].end |
2837.37659375 |
transcript.pyannote[105].speaker |
SPEAKER_04 |
transcript.pyannote[105].start |
2837.37659375 |
transcript.pyannote[105].end |
2837.51159375 |
transcript.pyannote[106].speaker |
SPEAKER_27 |
transcript.pyannote[106].start |
2838.06846875 |
transcript.pyannote[106].end |
2838.77721875 |
transcript.pyannote[107].speaker |
SPEAKER_27 |
transcript.pyannote[107].start |
2839.18221875 |
transcript.pyannote[107].end |
2839.72221875 |
transcript.pyannote[108].speaker |
SPEAKER_27 |
transcript.pyannote[108].start |
2840.80221875 |
transcript.pyannote[108].end |
2842.79346875 |
transcript.pyannote[109].speaker |
SPEAKER_27 |
transcript.pyannote[109].start |
2843.63721875 |
transcript.pyannote[109].end |
2846.01659375 |
transcript.pyannote[110].speaker |
SPEAKER_27 |
transcript.pyannote[110].start |
2846.79284375 |
transcript.pyannote[110].end |
2847.26534375 |
transcript.pyannote[111].speaker |
SPEAKER_27 |
transcript.pyannote[111].start |
2847.53534375 |
transcript.pyannote[111].end |
2850.64034375 |
transcript.pyannote[112].speaker |
SPEAKER_27 |
transcript.pyannote[112].start |
2851.83846875 |
transcript.pyannote[112].end |
2859.06096875 |
transcript.pyannote[113].speaker |
SPEAKER_27 |
transcript.pyannote[113].start |
2859.49971875 |
transcript.pyannote[113].end |
2862.60471875 |
transcript.pyannote[114].speaker |
SPEAKER_27 |
transcript.pyannote[114].start |
2862.68909375 |
transcript.pyannote[114].end |
2864.51159375 |
transcript.pyannote[115].speaker |
SPEAKER_27 |
transcript.pyannote[115].start |
2864.91659375 |
transcript.pyannote[115].end |
2867.11034375 |
transcript.pyannote[116].speaker |
SPEAKER_27 |
transcript.pyannote[116].start |
2868.19034375 |
transcript.pyannote[116].end |
2871.98721875 |
transcript.pyannote[117].speaker |
SPEAKER_27 |
transcript.pyannote[117].start |
2872.91534375 |
transcript.pyannote[117].end |
2876.07096875 |
transcript.pyannote[118].speaker |
SPEAKER_27 |
transcript.pyannote[118].start |
2876.40846875 |
transcript.pyannote[118].end |
2877.43784375 |
transcript.pyannote[119].speaker |
SPEAKER_27 |
transcript.pyannote[119].start |
2877.77534375 |
transcript.pyannote[119].end |
2879.58096875 |
transcript.pyannote[120].speaker |
SPEAKER_27 |
transcript.pyannote[120].start |
2880.35721875 |
transcript.pyannote[120].end |
2882.43284375 |
transcript.pyannote[121].speaker |
SPEAKER_27 |
transcript.pyannote[121].start |
2882.50034375 |
transcript.pyannote[121].end |
2884.00221875 |
transcript.pyannote[122].speaker |
SPEAKER_27 |
transcript.pyannote[122].start |
2884.57596875 |
transcript.pyannote[122].end |
2887.15784375 |
transcript.pyannote[123].speaker |
SPEAKER_27 |
transcript.pyannote[123].start |
2887.46159375 |
transcript.pyannote[123].end |
2890.46534375 |
transcript.pyannote[124].speaker |
SPEAKER_27 |
transcript.pyannote[124].start |
2890.54971875 |
transcript.pyannote[124].end |
2896.08471875 |
transcript.pyannote[125].speaker |
SPEAKER_27 |
transcript.pyannote[125].start |
2897.63721875 |
transcript.pyannote[125].end |
2901.55221875 |
transcript.pyannote[126].speaker |
SPEAKER_27 |
transcript.pyannote[126].start |
2902.05846875 |
transcript.pyannote[126].end |
2902.91909375 |
transcript.pyannote[127].speaker |
SPEAKER_27 |
transcript.pyannote[127].start |
2904.62346875 |
transcript.pyannote[127].end |
2908.03221875 |
transcript.pyannote[128].speaker |
SPEAKER_27 |
transcript.pyannote[128].start |
2908.50471875 |
transcript.pyannote[128].end |
2912.65596875 |
transcript.pyannote[129].speaker |
SPEAKER_27 |
transcript.pyannote[129].start |
2913.26346875 |
transcript.pyannote[129].end |
2916.25034375 |
transcript.pyannote[130].speaker |
SPEAKER_27 |
transcript.pyannote[130].start |
2917.22909375 |
transcript.pyannote[130].end |
2921.92034375 |
transcript.pyannote[131].speaker |
SPEAKER_27 |
transcript.pyannote[131].start |
2922.67971875 |
transcript.pyannote[131].end |
2923.16909375 |
transcript.pyannote[132].speaker |
SPEAKER_27 |
transcript.pyannote[132].start |
2923.65846875 |
transcript.pyannote[132].end |
2926.15596875 |
transcript.pyannote[133].speaker |
SPEAKER_27 |
transcript.pyannote[133].start |
2926.94909375 |
transcript.pyannote[133].end |
2928.67034375 |
transcript.pyannote[134].speaker |
SPEAKER_27 |
transcript.pyannote[134].start |
2929.95284375 |
transcript.pyannote[134].end |
2932.16346875 |
transcript.pyannote[135].speaker |
SPEAKER_27 |
transcript.pyannote[135].start |
2933.51346875 |
transcript.pyannote[135].end |
2934.61034375 |
transcript.pyannote[136].speaker |
SPEAKER_27 |
transcript.pyannote[136].start |
2935.25159375 |
transcript.pyannote[136].end |
2937.32721875 |
transcript.pyannote[137].speaker |
SPEAKER_27 |
transcript.pyannote[137].start |
2937.83346875 |
transcript.pyannote[137].end |
2940.02721875 |
transcript.pyannote[138].speaker |
SPEAKER_27 |
transcript.pyannote[138].start |
2940.31409375 |
transcript.pyannote[138].end |
2945.66346875 |
transcript.pyannote[139].speaker |
SPEAKER_27 |
transcript.pyannote[139].start |
2945.69721875 |
transcript.pyannote[139].end |
2947.92471875 |
transcript.pyannote[140].speaker |
SPEAKER_27 |
transcript.pyannote[140].start |
2948.46471875 |
transcript.pyannote[140].end |
2950.60784375 |
transcript.pyannote[141].speaker |
SPEAKER_27 |
transcript.pyannote[141].start |
2951.45159375 |
transcript.pyannote[141].end |
2953.35846875 |
transcript.pyannote[142].speaker |
SPEAKER_27 |
transcript.pyannote[142].start |
2953.86471875 |
transcript.pyannote[142].end |
2958.60659375 |
transcript.pyannote[143].speaker |
SPEAKER_27 |
transcript.pyannote[143].start |
2960.88471875 |
transcript.pyannote[143].end |
2961.55971875 |
transcript.pyannote[144].speaker |
SPEAKER_27 |
transcript.pyannote[144].start |
2961.88034375 |
transcript.pyannote[144].end |
2965.00221875 |
transcript.pyannote[145].speaker |
SPEAKER_27 |
transcript.pyannote[145].start |
2967.65159375 |
transcript.pyannote[145].end |
2972.66346875 |
transcript.pyannote[146].speaker |
SPEAKER_27 |
transcript.pyannote[146].start |
2973.32159375 |
transcript.pyannote[146].end |
2975.73471875 |
transcript.pyannote[147].speaker |
SPEAKER_27 |
transcript.pyannote[147].start |
2976.17346875 |
transcript.pyannote[147].end |
2977.38846875 |
transcript.pyannote[148].speaker |
SPEAKER_27 |
transcript.pyannote[148].start |
2977.99596875 |
transcript.pyannote[148].end |
2980.05471875 |
transcript.pyannote[149].speaker |
SPEAKER_27 |
transcript.pyannote[149].start |
2980.29096875 |
transcript.pyannote[149].end |
2985.96096875 |
transcript.pyannote[150].speaker |
SPEAKER_27 |
transcript.pyannote[150].start |
2987.53034375 |
transcript.pyannote[150].end |
2990.48346875 |
transcript.pyannote[151].speaker |
SPEAKER_27 |
transcript.pyannote[151].start |
2991.19221875 |
transcript.pyannote[151].end |
2997.45284375 |
transcript.pyannote[152].speaker |
SPEAKER_27 |
transcript.pyannote[152].start |
2998.09409375 |
transcript.pyannote[152].end |
3000.52409375 |
transcript.pyannote[153].speaker |
SPEAKER_27 |
transcript.pyannote[153].start |
3000.84471875 |
transcript.pyannote[153].end |
3002.00909375 |
transcript.pyannote[154].speaker |
SPEAKER_27 |
transcript.pyannote[154].start |
3003.08909375 |
transcript.pyannote[154].end |
3004.18596875 |
transcript.pyannote[155].speaker |
SPEAKER_27 |
transcript.pyannote[155].start |
3004.35471875 |
transcript.pyannote[155].end |
3005.38409375 |
transcript.pyannote[156].speaker |
SPEAKER_27 |
transcript.pyannote[156].start |
3005.43471875 |
transcript.pyannote[156].end |
3007.78034375 |
transcript.pyannote[157].speaker |
SPEAKER_27 |
transcript.pyannote[157].start |
3008.74221875 |
transcript.pyannote[157].end |
3013.65284375 |
transcript.pyannote[158].speaker |
SPEAKER_27 |
transcript.pyannote[158].start |
3014.59784375 |
transcript.pyannote[158].end |
3017.53409375 |
transcript.pyannote[159].speaker |
SPEAKER_27 |
transcript.pyannote[159].start |
3017.93909375 |
transcript.pyannote[159].end |
3021.01034375 |
transcript.pyannote[160].speaker |
SPEAKER_27 |
transcript.pyannote[160].start |
3021.83721875 |
transcript.pyannote[160].end |
3023.44034375 |
transcript.pyannote[161].speaker |
SPEAKER_27 |
transcript.pyannote[161].start |
3024.19971875 |
transcript.pyannote[161].end |
3024.80721875 |
transcript.pyannote[162].speaker |
SPEAKER_27 |
transcript.pyannote[162].start |
3026.14034375 |
transcript.pyannote[162].end |
3029.65034375 |
transcript.pyannote[163].speaker |
SPEAKER_27 |
transcript.pyannote[163].start |
3030.19034375 |
transcript.pyannote[163].end |
3033.26159375 |
transcript.pyannote[164].speaker |
SPEAKER_27 |
transcript.pyannote[164].start |
3034.78034375 |
transcript.pyannote[164].end |
3036.13034375 |
transcript.pyannote[165].speaker |
SPEAKER_27 |
transcript.pyannote[165].start |
3037.19346875 |
transcript.pyannote[165].end |
3037.71659375 |
transcript.pyannote[166].speaker |
SPEAKER_27 |
transcript.pyannote[166].start |
3037.91909375 |
transcript.pyannote[166].end |
3041.41221875 |
transcript.pyannote[167].speaker |
SPEAKER_27 |
transcript.pyannote[167].start |
3042.28971875 |
transcript.pyannote[167].end |
3046.79534375 |
transcript.pyannote[168].speaker |
SPEAKER_27 |
transcript.pyannote[168].start |
3047.16659375 |
transcript.pyannote[168].end |
3049.76534375 |
transcript.pyannote[169].speaker |
SPEAKER_27 |
transcript.pyannote[169].start |
3050.69346875 |
transcript.pyannote[169].end |
3054.50721875 |
transcript.pyannote[170].speaker |
SPEAKER_27 |
transcript.pyannote[170].start |
3055.38471875 |
transcript.pyannote[170].end |
3058.00034375 |
transcript.pyannote[171].speaker |
SPEAKER_27 |
transcript.pyannote[171].start |
3058.50659375 |
transcript.pyannote[171].end |
3060.81846875 |
transcript.pyannote[172].speaker |
SPEAKER_27 |
transcript.pyannote[172].start |
3061.27409375 |
transcript.pyannote[172].end |
3062.01659375 |
transcript.pyannote[173].speaker |
SPEAKER_27 |
transcript.pyannote[173].start |
3062.62409375 |
transcript.pyannote[173].end |
3063.99096875 |
transcript.pyannote[174].speaker |
SPEAKER_27 |
transcript.pyannote[174].start |
3064.53096875 |
transcript.pyannote[174].end |
3067.41659375 |
transcript.pyannote[175].speaker |
SPEAKER_27 |
transcript.pyannote[175].start |
3068.02409375 |
transcript.pyannote[175].end |
3073.15409375 |
transcript.pyannote[176].speaker |
SPEAKER_27 |
transcript.pyannote[176].start |
3074.03159375 |
transcript.pyannote[176].end |
3075.56721875 |
transcript.pyannote[177].speaker |
SPEAKER_27 |
transcript.pyannote[177].start |
3076.17471875 |
transcript.pyannote[177].end |
3084.88221875 |
transcript.pyannote[178].speaker |
SPEAKER_27 |
transcript.pyannote[178].start |
3085.91159375 |
transcript.pyannote[178].end |
3086.55284375 |
transcript.pyannote[179].speaker |
SPEAKER_27 |
transcript.pyannote[179].start |
3086.83971875 |
transcript.pyannote[179].end |
3091.88534375 |
transcript.pyannote[180].speaker |
SPEAKER_27 |
transcript.pyannote[180].start |
3092.57721875 |
transcript.pyannote[180].end |
3097.18409375 |
transcript.pyannote[181].speaker |
SPEAKER_27 |
transcript.pyannote[181].start |
3098.61846875 |
transcript.pyannote[181].end |
3101.67284375 |
transcript.pyannote[182].speaker |
SPEAKER_27 |
transcript.pyannote[182].start |
3102.34784375 |
transcript.pyannote[182].end |
3105.99284375 |
transcript.pyannote[183].speaker |
SPEAKER_27 |
transcript.pyannote[183].start |
3106.76909375 |
transcript.pyannote[183].end |
3108.82784375 |
transcript.pyannote[184].speaker |
SPEAKER_27 |
transcript.pyannote[184].start |
3109.94159375 |
transcript.pyannote[184].end |
3111.19034375 |
transcript.pyannote[185].speaker |
SPEAKER_27 |
transcript.pyannote[185].start |
3111.51096875 |
transcript.pyannote[185].end |
3112.28721875 |
transcript.pyannote[186].speaker |
SPEAKER_27 |
transcript.pyannote[186].start |
3113.89034375 |
transcript.pyannote[186].end |
3116.69159375 |
transcript.pyannote[187].speaker |
SPEAKER_27 |
transcript.pyannote[187].start |
3117.09659375 |
transcript.pyannote[187].end |
3118.95284375 |
transcript.pyannote[188].speaker |
SPEAKER_27 |
transcript.pyannote[188].start |
3119.42534375 |
transcript.pyannote[188].end |
3120.92721875 |
transcript.pyannote[189].speaker |
SPEAKER_27 |
transcript.pyannote[189].start |
3121.63596875 |
transcript.pyannote[189].end |
3122.19284375 |
transcript.pyannote[190].speaker |
SPEAKER_27 |
transcript.pyannote[190].start |
3122.59784375 |
transcript.pyannote[190].end |
3124.63971875 |
transcript.pyannote[191].speaker |
SPEAKER_27 |
transcript.pyannote[191].start |
3125.36534375 |
transcript.pyannote[191].end |
3128.30159375 |
transcript.pyannote[192].speaker |
SPEAKER_27 |
transcript.pyannote[192].start |
3128.75721875 |
transcript.pyannote[192].end |
3130.59659375 |
transcript.pyannote[193].speaker |
SPEAKER_27 |
transcript.pyannote[193].start |
3131.11971875 |
transcript.pyannote[193].end |
3139.84409375 |
transcript.pyannote[194].speaker |
SPEAKER_27 |
transcript.pyannote[194].start |
3140.82284375 |
transcript.pyannote[194].end |
3145.81784375 |
transcript.pyannote[195].speaker |
SPEAKER_27 |
transcript.pyannote[195].start |
3146.20596875 |
transcript.pyannote[195].end |
3150.67784375 |
transcript.pyannote[196].speaker |
SPEAKER_27 |
transcript.pyannote[196].start |
3150.93096875 |
transcript.pyannote[196].end |
3159.75659375 |
transcript.pyannote[197].speaker |
SPEAKER_27 |
transcript.pyannote[197].start |
3160.43159375 |
transcript.pyannote[197].end |
3172.64909375 |
transcript.pyannote[198].speaker |
SPEAKER_27 |
transcript.pyannote[198].start |
3172.88534375 |
transcript.pyannote[198].end |
3173.61096875 |
transcript.pyannote[199].speaker |
SPEAKER_27 |
transcript.pyannote[199].start |
3174.04971875 |
transcript.pyannote[199].end |
3181.55909375 |
transcript.pyannote[200].speaker |
SPEAKER_27 |
transcript.pyannote[200].start |
3182.85846875 |
transcript.pyannote[200].end |
3184.19159375 |
transcript.pyannote[201].speaker |
SPEAKER_27 |
transcript.pyannote[201].start |
3184.81596875 |
transcript.pyannote[201].end |
3185.89596875 |
transcript.pyannote[202].speaker |
SPEAKER_27 |
transcript.pyannote[202].start |
3186.23346875 |
transcript.pyannote[202].end |
3189.32159375 |
transcript.pyannote[203].speaker |
SPEAKER_27 |
transcript.pyannote[203].start |
3190.23284375 |
transcript.pyannote[203].end |
3195.93659375 |
transcript.pyannote[204].speaker |
SPEAKER_27 |
transcript.pyannote[204].start |
3196.51034375 |
transcript.pyannote[204].end |
3199.63221875 |
transcript.pyannote[205].speaker |
SPEAKER_27 |
transcript.pyannote[205].start |
3200.25659375 |
transcript.pyannote[205].end |
3202.93971875 |
transcript.pyannote[206].speaker |
SPEAKER_27 |
transcript.pyannote[206].start |
3203.34471875 |
transcript.pyannote[206].end |
3206.90534375 |
transcript.pyannote[207].speaker |
SPEAKER_27 |
transcript.pyannote[207].start |
3208.30596875 |
transcript.pyannote[207].end |
3211.84971875 |
transcript.pyannote[208].speaker |
SPEAKER_27 |
transcript.pyannote[208].start |
3212.54159375 |
transcript.pyannote[208].end |
3213.77346875 |
transcript.pyannote[209].speaker |
SPEAKER_27 |
transcript.pyannote[209].start |
3214.85346875 |
transcript.pyannote[209].end |
3216.89534375 |
transcript.pyannote[210].speaker |
SPEAKER_27 |
transcript.pyannote[210].start |
3217.60409375 |
transcript.pyannote[210].end |
3219.91596875 |
transcript.pyannote[211].speaker |
SPEAKER_27 |
transcript.pyannote[211].start |
3220.81034375 |
transcript.pyannote[211].end |
3222.12659375 |
transcript.pyannote[212].speaker |
SPEAKER_27 |
transcript.pyannote[212].start |
3222.56534375 |
transcript.pyannote[212].end |
3224.28659375 |
transcript.pyannote[213].speaker |
SPEAKER_27 |
transcript.pyannote[213].start |
3224.97846875 |
transcript.pyannote[213].end |
3226.12596875 |
transcript.pyannote[214].speaker |
SPEAKER_27 |
transcript.pyannote[214].start |
3226.73346875 |
transcript.pyannote[214].end |
3227.30721875 |
transcript.pyannote[215].speaker |
SPEAKER_27 |
transcript.pyannote[215].start |
3228.31971875 |
transcript.pyannote[215].end |
3229.39971875 |
transcript.pyannote[216].speaker |
SPEAKER_27 |
transcript.pyannote[216].start |
3229.68659375 |
transcript.pyannote[216].end |
3232.42034375 |
transcript.pyannote[217].speaker |
SPEAKER_27 |
transcript.pyannote[217].start |
3232.77471875 |
transcript.pyannote[217].end |
3234.76596875 |
transcript.pyannote[218].speaker |
SPEAKER_27 |
transcript.pyannote[218].start |
3235.30596875 |
transcript.pyannote[218].end |
3239.40659375 |
transcript.pyannote[219].speaker |
SPEAKER_27 |
transcript.pyannote[219].start |
3239.82846875 |
transcript.pyannote[219].end |
3241.88721875 |
transcript.pyannote[220].speaker |
SPEAKER_15 |
transcript.pyannote[220].start |
3246.05534375 |
transcript.pyannote[220].end |
3256.56846875 |
transcript.pyannote[221].speaker |
SPEAKER_15 |
transcript.pyannote[221].start |
3257.59784375 |
transcript.pyannote[221].end |
3261.10784375 |
transcript.pyannote[222].speaker |
SPEAKER_15 |
transcript.pyannote[222].start |
3262.23846875 |
transcript.pyannote[222].end |
3265.37721875 |
transcript.pyannote[223].speaker |
SPEAKER_15 |
transcript.pyannote[223].start |
3265.95096875 |
transcript.pyannote[223].end |
3302.16471875 |
transcript.pyannote[224].speaker |
SPEAKER_06 |
transcript.pyannote[224].start |
3304.94909375 |
transcript.pyannote[224].end |
3305.99534375 |
transcript.pyannote[225].speaker |
SPEAKER_06 |
transcript.pyannote[225].start |
3306.75471875 |
transcript.pyannote[225].end |
3308.20596875 |
transcript.pyannote[226].speaker |
SPEAKER_11 |
transcript.pyannote[226].start |
3314.01096875 |
transcript.pyannote[226].end |
3330.88596875 |
transcript.pyannote[227].speaker |
SPEAKER_11 |
transcript.pyannote[227].start |
3331.05471875 |
transcript.pyannote[227].end |
3356.65409375 |
transcript.pyannote[228].speaker |
SPEAKER_11 |
transcript.pyannote[228].start |
3357.27846875 |
transcript.pyannote[228].end |
3390.85971875 |
transcript.pyannote[229].speaker |
SPEAKER_11 |
transcript.pyannote[229].start |
3391.26471875 |
transcript.pyannote[229].end |
3392.95221875 |
transcript.pyannote[230].speaker |
SPEAKER_11 |
transcript.pyannote[230].start |
3393.64409375 |
transcript.pyannote[230].end |
3410.97471875 |
transcript.pyannote[231].speaker |
SPEAKER_11 |
transcript.pyannote[231].start |
3411.32909375 |
transcript.pyannote[231].end |
3428.92971875 |
transcript.pyannote[232].speaker |
SPEAKER_11 |
transcript.pyannote[232].start |
3429.04784375 |
transcript.pyannote[232].end |
3468.82221875 |
transcript.pyannote[233].speaker |
SPEAKER_11 |
transcript.pyannote[233].start |
3468.83909375 |
transcript.pyannote[233].end |
3475.60596875 |
transcript.pyannote[234].speaker |
SPEAKER_11 |
transcript.pyannote[234].start |
3475.92659375 |
transcript.pyannote[234].end |
3477.51284375 |
transcript.pyannote[235].speaker |
SPEAKER_11 |
transcript.pyannote[235].start |
3477.78284375 |
transcript.pyannote[235].end |
3478.91346875 |
transcript.pyannote[236].speaker |
SPEAKER_11 |
transcript.pyannote[236].start |
3479.48721875 |
transcript.pyannote[236].end |
3482.52471875 |
transcript.pyannote[237].speaker |
SPEAKER_11 |
transcript.pyannote[237].start |
3483.16596875 |
transcript.pyannote[237].end |
3506.08221875 |
transcript.pyannote[238].speaker |
SPEAKER_11 |
transcript.pyannote[238].start |
3506.23409375 |
transcript.pyannote[238].end |
3527.47971875 |
transcript.pyannote[239].speaker |
SPEAKER_11 |
transcript.pyannote[239].start |
3527.96909375 |
transcript.pyannote[239].end |
3528.44159375 |
transcript.pyannote[240].speaker |
SPEAKER_11 |
transcript.pyannote[240].start |
3528.74534375 |
transcript.pyannote[240].end |
3542.53221875 |
transcript.pyannote[241].speaker |
SPEAKER_11 |
transcript.pyannote[241].start |
3543.79784375 |
transcript.pyannote[241].end |
3564.21659375 |
transcript.pyannote[242].speaker |
SPEAKER_11 |
transcript.pyannote[242].start |
3564.95909375 |
transcript.pyannote[242].end |
3581.29409375 |
transcript.pyannote[243].speaker |
SPEAKER_11 |
transcript.pyannote[243].start |
3581.66534375 |
transcript.pyannote[243].end |
3593.39346875 |
transcript.pyannote[244].speaker |
SPEAKER_11 |
transcript.pyannote[244].start |
3593.81534375 |
transcript.pyannote[244].end |
3597.86534375 |
transcript.pyannote[245].speaker |
SPEAKER_11 |
transcript.pyannote[245].start |
3598.42221875 |
transcript.pyannote[245].end |
3604.02471875 |
transcript.pyannote[246].speaker |
SPEAKER_11 |
transcript.pyannote[246].start |
3604.61534375 |
transcript.pyannote[246].end |
3651.42659375 |
transcript.pyannote[247].speaker |
SPEAKER_11 |
transcript.pyannote[247].start |
3651.74721875 |
transcript.pyannote[247].end |
3754.87034375 |
transcript.pyannote[248].speaker |
SPEAKER_11 |
transcript.pyannote[248].start |
3755.25846875 |
transcript.pyannote[248].end |
3823.75409375 |
transcript.pyannote[249].speaker |
SPEAKER_11 |
transcript.pyannote[249].start |
3824.09159375 |
transcript.pyannote[249].end |
3831.90471875 |
transcript.pyannote[250].speaker |
SPEAKER_11 |
transcript.pyannote[250].start |
3832.47846875 |
transcript.pyannote[250].end |
3846.94034375 |
transcript.pyannote[251].speaker |
SPEAKER_11 |
transcript.pyannote[251].start |
3847.32846875 |
transcript.pyannote[251].end |
3849.04971875 |
transcript.pyannote[252].speaker |
SPEAKER_11 |
transcript.pyannote[252].start |
3849.08346875 |
transcript.pyannote[252].end |
3871.35846875 |
transcript.pyannote[253].speaker |
SPEAKER_11 |
transcript.pyannote[253].start |
3871.84784375 |
transcript.pyannote[253].end |
3906.61034375 |
transcript.pyannote[254].speaker |
SPEAKER_11 |
transcript.pyannote[254].start |
3907.03221875 |
transcript.pyannote[254].end |
3911.55471875 |
transcript.pyannote[255].speaker |
SPEAKER_11 |
transcript.pyannote[255].start |
3911.77409375 |
transcript.pyannote[255].end |
3935.85471875 |
transcript.pyannote[256].speaker |
SPEAKER_11 |
transcript.pyannote[256].start |
3936.14159375 |
transcript.pyannote[256].end |
3944.25846875 |
transcript.pyannote[257].speaker |
SPEAKER_11 |
transcript.pyannote[257].start |
3944.66346875 |
transcript.pyannote[257].end |
3954.60284375 |
transcript.pyannote[258].speaker |
SPEAKER_11 |
transcript.pyannote[258].start |
3955.19346875 |
transcript.pyannote[258].end |
3970.31346875 |
transcript.pyannote[259].speaker |
SPEAKER_11 |
transcript.pyannote[259].start |
3970.49909375 |
transcript.pyannote[259].end |
4029.64596875 |
transcript.pyannote[260].speaker |
SPEAKER_11 |
transcript.pyannote[260].start |
4030.15221875 |
transcript.pyannote[260].end |
4034.38784375 |
transcript.pyannote[261].speaker |
SPEAKER_11 |
transcript.pyannote[261].start |
4034.86034375 |
transcript.pyannote[261].end |
4063.96971875 |
transcript.pyannote[262].speaker |
SPEAKER_11 |
transcript.pyannote[262].start |
4064.44221875 |
transcript.pyannote[262].end |
4099.20471875 |
transcript.pyannote[263].speaker |
SPEAKER_16 |
transcript.pyannote[263].start |
4100.04846875 |
transcript.pyannote[263].end |
4101.14534375 |
transcript.pyannote[264].speaker |
SPEAKER_11 |
transcript.pyannote[264].start |
4101.14534375 |
transcript.pyannote[264].end |
4102.02284375 |
transcript.pyannote[265].speaker |
SPEAKER_15 |
transcript.pyannote[265].start |
4102.02284375 |
transcript.pyannote[265].end |
4111.82721875 |
transcript.pyannote[266].speaker |
SPEAKER_11 |
transcript.pyannote[266].start |
4104.04784375 |
transcript.pyannote[266].end |
4107.03471875 |
transcript.pyannote[267].speaker |
SPEAKER_16 |
transcript.pyannote[267].start |
4107.03471875 |
transcript.pyannote[267].end |
4107.30471875 |
transcript.pyannote[268].speaker |
SPEAKER_11 |
transcript.pyannote[268].start |
4107.30471875 |
transcript.pyannote[268].end |
4107.67596875 |
transcript.pyannote[269].speaker |
SPEAKER_11 |
transcript.pyannote[269].start |
4108.94159375 |
transcript.pyannote[269].end |
4111.27034375 |
transcript.pyannote[270].speaker |
SPEAKER_16 |
transcript.pyannote[270].start |
4111.27034375 |
transcript.pyannote[270].end |
4115.86034375 |
transcript.pyannote[271].speaker |
SPEAKER_15 |
transcript.pyannote[271].start |
4112.68784375 |
transcript.pyannote[271].end |
4112.70471875 |
transcript.pyannote[272].speaker |
SPEAKER_11 |
transcript.pyannote[272].start |
4112.70471875 |
transcript.pyannote[272].end |
4112.72159375 |
transcript.pyannote[273].speaker |
SPEAKER_15 |
transcript.pyannote[273].start |
4112.72159375 |
transcript.pyannote[273].end |
4112.77221875 |
transcript.pyannote[274].speaker |
SPEAKER_11 |
transcript.pyannote[274].start |
4112.77221875 |
transcript.pyannote[274].end |
4112.83971875 |
transcript.pyannote[275].speaker |
SPEAKER_15 |
transcript.pyannote[275].start |
4112.83971875 |
transcript.pyannote[275].end |
4112.85659375 |
transcript.pyannote[276].speaker |
SPEAKER_15 |
transcript.pyannote[276].start |
4112.95784375 |
transcript.pyannote[276].end |
4113.75096875 |
transcript.pyannote[277].speaker |
SPEAKER_15 |
transcript.pyannote[277].start |
4114.44284375 |
transcript.pyannote[277].end |
4115.75909375 |
transcript.pyannote[278].speaker |
SPEAKER_15 |
transcript.pyannote[278].start |
4118.81346875 |
transcript.pyannote[278].end |
4119.58971875 |
transcript.pyannote[279].speaker |
SPEAKER_15 |
transcript.pyannote[279].start |
4119.65721875 |
transcript.pyannote[279].end |
4121.00721875 |
transcript.pyannote[280].speaker |
SPEAKER_06 |
transcript.pyannote[280].start |
4121.14221875 |
transcript.pyannote[280].end |
4121.66534375 |
transcript.pyannote[281].speaker |
SPEAKER_15 |
transcript.pyannote[281].start |
4121.66534375 |
transcript.pyannote[281].end |
4124.07846875 |
transcript.pyannote[282].speaker |
SPEAKER_06 |
transcript.pyannote[282].start |
4121.68221875 |
transcript.pyannote[282].end |
4121.96909375 |
transcript.pyannote[283].speaker |
SPEAKER_15 |
transcript.pyannote[283].start |
4125.07409375 |
transcript.pyannote[283].end |
4125.42846875 |
transcript.pyannote[284].speaker |
SPEAKER_15 |
transcript.pyannote[284].start |
4125.98534375 |
transcript.pyannote[284].end |
4128.49971875 |
transcript.pyannote[285].speaker |
SPEAKER_05 |
transcript.pyannote[285].start |
4133.08971875 |
transcript.pyannote[285].end |
4136.73471875 |
transcript.pyannote[286].speaker |
SPEAKER_05 |
transcript.pyannote[286].start |
4137.64596875 |
transcript.pyannote[286].end |
4138.97909375 |
transcript.pyannote[287].speaker |
SPEAKER_16 |
transcript.pyannote[287].start |
4145.23971875 |
transcript.pyannote[287].end |
4145.67846875 |
transcript.pyannote[288].speaker |
SPEAKER_05 |
transcript.pyannote[288].start |
4145.67846875 |
transcript.pyannote[288].end |
4148.31096875 |
transcript.pyannote[289].speaker |
SPEAKER_05 |
transcript.pyannote[289].start |
4148.59784375 |
transcript.pyannote[289].end |
4150.26846875 |
transcript.pyannote[290].speaker |
SPEAKER_05 |
transcript.pyannote[290].start |
4150.33596875 |
transcript.pyannote[290].end |
4152.00659375 |
transcript.pyannote[291].speaker |
SPEAKER_05 |
transcript.pyannote[291].start |
4152.10784375 |
transcript.pyannote[291].end |
4184.03534375 |
transcript.pyannote[292].speaker |
SPEAKER_05 |
transcript.pyannote[292].start |
4184.27159375 |
transcript.pyannote[292].end |
4191.25784375 |
transcript.pyannote[293].speaker |
SPEAKER_05 |
transcript.pyannote[293].start |
4191.61221875 |
transcript.pyannote[293].end |
4202.76659375 |
transcript.pyannote[294].speaker |
SPEAKER_05 |
transcript.pyannote[294].start |
4203.49221875 |
transcript.pyannote[294].end |
4210.34346875 |
transcript.pyannote[295].speaker |
SPEAKER_05 |
transcript.pyannote[295].start |
4210.64721875 |
transcript.pyannote[295].end |
4211.06909375 |
transcript.pyannote[296].speaker |
SPEAKER_05 |
transcript.pyannote[296].start |
4211.67659375 |
transcript.pyannote[296].end |
4217.00909375 |
transcript.pyannote[297].speaker |
SPEAKER_05 |
transcript.pyannote[297].start |
4217.53221875 |
transcript.pyannote[297].end |
4230.12096875 |
transcript.pyannote[298].speaker |
SPEAKER_05 |
transcript.pyannote[298].start |
4230.84659375 |
transcript.pyannote[298].end |
4242.50721875 |
transcript.pyannote[299].speaker |
SPEAKER_05 |
transcript.pyannote[299].start |
4243.13159375 |
transcript.pyannote[299].end |
4246.08471875 |
transcript.pyannote[300].speaker |
SPEAKER_05 |
transcript.pyannote[300].start |
4247.67096875 |
transcript.pyannote[300].end |
4248.85221875 |
transcript.pyannote[301].speaker |
SPEAKER_16 |
transcript.pyannote[301].start |
4249.29096875 |
transcript.pyannote[301].end |
4251.63659375 |
transcript.pyannote[302].speaker |
SPEAKER_16 |
transcript.pyannote[302].start |
4252.07534375 |
transcript.pyannote[302].end |
4278.21471875 |
transcript.pyannote[303].speaker |
SPEAKER_05 |
transcript.pyannote[303].start |
4278.46784375 |
transcript.pyannote[303].end |
4282.31534375 |
transcript.pyannote[304].speaker |
SPEAKER_05 |
transcript.pyannote[304].start |
4282.55159375 |
transcript.pyannote[304].end |
4283.05784375 |
transcript.pyannote[305].speaker |
SPEAKER_05 |
transcript.pyannote[305].start |
4283.42909375 |
transcript.pyannote[305].end |
4289.79096875 |
transcript.pyannote[306].speaker |
SPEAKER_05 |
transcript.pyannote[306].start |
4290.06096875 |
transcript.pyannote[306].end |
4292.40659375 |
transcript.pyannote[307].speaker |
SPEAKER_05 |
transcript.pyannote[307].start |
4293.13221875 |
transcript.pyannote[307].end |
4295.29221875 |
transcript.pyannote[308].speaker |
SPEAKER_05 |
transcript.pyannote[308].start |
4295.66346875 |
transcript.pyannote[308].end |
4303.05471875 |
transcript.pyannote[309].speaker |
SPEAKER_05 |
transcript.pyannote[309].start |
4304.33721875 |
transcript.pyannote[309].end |
4305.95721875 |
transcript.pyannote[310].speaker |
SPEAKER_16 |
transcript.pyannote[310].start |
4306.24409375 |
transcript.pyannote[310].end |
4306.46346875 |
transcript.pyannote[311].speaker |
SPEAKER_16 |
transcript.pyannote[311].start |
4306.61534375 |
transcript.pyannote[311].end |
4332.38346875 |
transcript.pyannote[312].speaker |
SPEAKER_05 |
transcript.pyannote[312].start |
4332.38346875 |
transcript.pyannote[312].end |
4333.61534375 |
transcript.pyannote[313].speaker |
SPEAKER_16 |
transcript.pyannote[313].start |
4333.71659375 |
transcript.pyannote[313].end |
4342.13721875 |
transcript.pyannote[314].speaker |
SPEAKER_05 |
transcript.pyannote[314].start |
4338.61034375 |
transcript.pyannote[314].end |
4339.18409375 |
transcript.pyannote[315].speaker |
SPEAKER_05 |
transcript.pyannote[315].start |
4341.49596875 |
transcript.pyannote[315].end |
4344.36471875 |
transcript.pyannote[316].speaker |
SPEAKER_16 |
transcript.pyannote[316].start |
4344.73596875 |
transcript.pyannote[316].end |
4346.00159375 |
transcript.pyannote[317].speaker |
SPEAKER_05 |
transcript.pyannote[317].start |
4345.07346875 |
transcript.pyannote[317].end |
4345.96784375 |
transcript.pyannote[318].speaker |
SPEAKER_16 |
transcript.pyannote[318].start |
4346.47409375 |
transcript.pyannote[318].end |
4358.84346875 |
transcript.pyannote[319].speaker |
SPEAKER_05 |
transcript.pyannote[319].start |
4357.24034375 |
transcript.pyannote[319].end |
4366.58909375 |
transcript.pyannote[320].speaker |
SPEAKER_16 |
transcript.pyannote[320].start |
4366.58909375 |
transcript.pyannote[320].end |
4386.02909375 |
transcript.pyannote[321].speaker |
SPEAKER_05 |
transcript.pyannote[321].start |
4386.24846875 |
transcript.pyannote[321].end |
4388.12159375 |
transcript.pyannote[322].speaker |
SPEAKER_05 |
transcript.pyannote[322].start |
4388.52659375 |
transcript.pyannote[322].end |
4403.22471875 |
transcript.pyannote[323].speaker |
SPEAKER_28 |
transcript.pyannote[323].start |
4396.71096875 |
transcript.pyannote[323].end |
4396.99784375 |
transcript.pyannote[324].speaker |
SPEAKER_16 |
transcript.pyannote[324].start |
4396.99784375 |
transcript.pyannote[324].end |
4397.06534375 |
transcript.pyannote[325].speaker |
SPEAKER_16 |
transcript.pyannote[325].start |
4403.34284375 |
transcript.pyannote[325].end |
4403.69721875 |
transcript.pyannote[326].speaker |
SPEAKER_05 |
transcript.pyannote[326].start |
4403.81534375 |
transcript.pyannote[326].end |
4406.86971875 |
transcript.pyannote[327].speaker |
SPEAKER_16 |
transcript.pyannote[327].start |
4407.13971875 |
transcript.pyannote[327].end |
4407.40971875 |
transcript.pyannote[328].speaker |
SPEAKER_16 |
transcript.pyannote[328].start |
4407.61221875 |
transcript.pyannote[328].end |
4408.77659375 |
transcript.pyannote[329].speaker |
SPEAKER_05 |
transcript.pyannote[329].start |
4407.67971875 |
transcript.pyannote[329].end |
4409.62034375 |
transcript.pyannote[330].speaker |
SPEAKER_16 |
transcript.pyannote[330].start |
4409.82284375 |
transcript.pyannote[330].end |
4427.45721875 |
transcript.pyannote[331].speaker |
SPEAKER_05 |
transcript.pyannote[331].start |
4427.03534375 |
transcript.pyannote[331].end |
4433.17784375 |
transcript.pyannote[332].speaker |
SPEAKER_16 |
transcript.pyannote[332].start |
4432.80659375 |
transcript.pyannote[332].end |
4436.35034375 |
transcript.pyannote[333].speaker |
SPEAKER_05 |
transcript.pyannote[333].start |
4436.45159375 |
transcript.pyannote[333].end |
4437.88596875 |
transcript.pyannote[334].speaker |
SPEAKER_16 |
transcript.pyannote[334].start |
4437.29534375 |
transcript.pyannote[334].end |
4438.12221875 |
transcript.pyannote[335].speaker |
SPEAKER_05 |
transcript.pyannote[335].start |
4438.12221875 |
transcript.pyannote[335].end |
4439.97846875 |
transcript.pyannote[336].speaker |
SPEAKER_05 |
transcript.pyannote[336].start |
4440.29909375 |
transcript.pyannote[336].end |
4443.40409375 |
transcript.pyannote[337].speaker |
SPEAKER_05 |
transcript.pyannote[337].start |
4444.61909375 |
transcript.pyannote[337].end |
4445.69909375 |
transcript.pyannote[338].speaker |
SPEAKER_05 |
transcript.pyannote[338].start |
4446.23909375 |
transcript.pyannote[338].end |
4448.14596875 |
transcript.pyannote[339].speaker |
SPEAKER_16 |
transcript.pyannote[339].start |
4449.59721875 |
transcript.pyannote[339].end |
4450.15409375 |
transcript.pyannote[340].speaker |
SPEAKER_16 |
transcript.pyannote[340].start |
4450.49159375 |
transcript.pyannote[340].end |
4452.83721875 |
transcript.pyannote[341].speaker |
SPEAKER_05 |
transcript.pyannote[341].start |
4452.58409375 |
transcript.pyannote[341].end |
4452.65159375 |
transcript.pyannote[342].speaker |
SPEAKER_16 |
transcript.pyannote[342].start |
4453.00596875 |
transcript.pyannote[342].end |
4453.02284375 |
transcript.pyannote[343].speaker |
SPEAKER_05 |
transcript.pyannote[343].start |
4453.02284375 |
transcript.pyannote[343].end |
4453.90034375 |
transcript.pyannote[344].speaker |
SPEAKER_16 |
transcript.pyannote[344].start |
4453.03971875 |
transcript.pyannote[344].end |
4453.52909375 |
transcript.pyannote[345].speaker |
SPEAKER_05 |
transcript.pyannote[345].start |
4454.94659375 |
transcript.pyannote[345].end |
4456.70159375 |
transcript.pyannote[346].speaker |
SPEAKER_05 |
transcript.pyannote[346].start |
4457.05596875 |
transcript.pyannote[346].end |
4458.77721875 |
transcript.pyannote[347].speaker |
SPEAKER_05 |
transcript.pyannote[347].start |
4459.36784375 |
transcript.pyannote[347].end |
4472.00721875 |
transcript.pyannote[348].speaker |
SPEAKER_24 |
transcript.pyannote[348].start |
4472.29409375 |
transcript.pyannote[348].end |
4484.79846875 |
transcript.pyannote[349].speaker |
SPEAKER_05 |
transcript.pyannote[349].start |
4484.32596875 |
transcript.pyannote[349].end |
4488.81471875 |
transcript.pyannote[350].speaker |
SPEAKER_24 |
transcript.pyannote[350].start |
4488.81471875 |
transcript.pyannote[350].end |
4489.20284375 |
transcript.pyannote[351].speaker |
SPEAKER_05 |
transcript.pyannote[351].start |
4489.11846875 |
transcript.pyannote[351].end |
4490.02971875 |
transcript.pyannote[352].speaker |
SPEAKER_24 |
transcript.pyannote[352].start |
4490.46846875 |
transcript.pyannote[352].end |
4511.66346875 |
transcript.pyannote[353].speaker |
SPEAKER_05 |
transcript.pyannote[353].start |
4511.69721875 |
transcript.pyannote[353].end |
4548.09659375 |
transcript.pyannote[354].speaker |
SPEAKER_24 |
transcript.pyannote[354].start |
4514.02596875 |
transcript.pyannote[354].end |
4514.31284375 |
transcript.pyannote[355].speaker |
SPEAKER_24 |
transcript.pyannote[355].start |
4519.96596875 |
transcript.pyannote[355].end |
4521.46784375 |
transcript.pyannote[356].speaker |
SPEAKER_24 |
transcript.pyannote[356].start |
4521.80534375 |
transcript.pyannote[356].end |
4521.87284375 |
transcript.pyannote[357].speaker |
SPEAKER_05 |
transcript.pyannote[357].start |
4548.94034375 |
transcript.pyannote[357].end |
4553.27721875 |
transcript.pyannote[358].speaker |
SPEAKER_05 |
transcript.pyannote[358].start |
4553.90159375 |
transcript.pyannote[358].end |
4558.47471875 |
transcript.pyannote[359].speaker |
SPEAKER_05 |
transcript.pyannote[359].start |
4559.14971875 |
transcript.pyannote[359].end |
4560.26346875 |
transcript.pyannote[360].speaker |
SPEAKER_05 |
transcript.pyannote[360].start |
4560.78659375 |
transcript.pyannote[360].end |
4564.29659375 |
transcript.pyannote[361].speaker |
SPEAKER_25 |
transcript.pyannote[361].start |
4568.26221875 |
transcript.pyannote[361].end |
4568.36346875 |
transcript.pyannote[362].speaker |
SPEAKER_05 |
transcript.pyannote[362].start |
4568.36346875 |
transcript.pyannote[362].end |
4570.33784375 |
transcript.pyannote[363].speaker |
SPEAKER_25 |
transcript.pyannote[363].start |
4568.38034375 |
transcript.pyannote[363].end |
4569.19034375 |
transcript.pyannote[364].speaker |
SPEAKER_25 |
transcript.pyannote[364].start |
4569.64596875 |
transcript.pyannote[364].end |
4575.38346875 |
transcript.pyannote[365].speaker |
SPEAKER_25 |
transcript.pyannote[365].start |
4576.02471875 |
transcript.pyannote[365].end |
4604.12159375 |
transcript.pyannote[366].speaker |
SPEAKER_05 |
transcript.pyannote[366].start |
4577.29034375 |
transcript.pyannote[366].end |
4577.99909375 |
transcript.pyannote[367].speaker |
SPEAKER_00 |
transcript.pyannote[367].start |
4577.99909375 |
transcript.pyannote[367].end |
4578.03284375 |
transcript.pyannote[368].speaker |
SPEAKER_00 |
transcript.pyannote[368].start |
4590.38534375 |
transcript.pyannote[368].end |
4590.89159375 |
transcript.pyannote[369].speaker |
SPEAKER_05 |
transcript.pyannote[369].start |
4603.44659375 |
transcript.pyannote[369].end |
4655.87721875 |
transcript.pyannote[370].speaker |
SPEAKER_05 |
transcript.pyannote[370].start |
4656.11346875 |
transcript.pyannote[370].end |
4659.25221875 |
transcript.pyannote[371].speaker |
SPEAKER_05 |
transcript.pyannote[371].start |
4659.80909375 |
transcript.pyannote[371].end |
4661.02409375 |
transcript.pyannote[372].speaker |
SPEAKER_05 |
transcript.pyannote[372].start |
4661.68221875 |
transcript.pyannote[372].end |
4666.00221875 |
transcript.pyannote[373].speaker |
SPEAKER_05 |
transcript.pyannote[373].start |
4666.60971875 |
transcript.pyannote[373].end |
4673.91659375 |
transcript.pyannote[374].speaker |
SPEAKER_05 |
transcript.pyannote[374].start |
4674.23721875 |
transcript.pyannote[374].end |
4677.83159375 |
transcript.pyannote[375].speaker |
SPEAKER_05 |
transcript.pyannote[375].start |
4678.47284375 |
transcript.pyannote[375].end |
4688.54721875 |
transcript.pyannote[376].speaker |
SPEAKER_05 |
transcript.pyannote[376].start |
4688.96909375 |
transcript.pyannote[376].end |
4697.01846875 |
transcript.pyannote[377].speaker |
SPEAKER_05 |
transcript.pyannote[377].start |
4697.59221875 |
transcript.pyannote[377].end |
4699.76909375 |
transcript.pyannote[378].speaker |
SPEAKER_16 |
transcript.pyannote[378].start |
4699.95471875 |
transcript.pyannote[378].end |
4706.16471875 |
transcript.pyannote[379].speaker |
SPEAKER_05 |
transcript.pyannote[379].start |
4705.37159375 |
transcript.pyannote[379].end |
4708.27409375 |
transcript.pyannote[380].speaker |
SPEAKER_16 |
transcript.pyannote[380].start |
4706.45159375 |
transcript.pyannote[380].end |
4706.89034375 |
transcript.pyannote[381].speaker |
SPEAKER_16 |
transcript.pyannote[381].start |
4707.76784375 |
transcript.pyannote[381].end |
4710.43409375 |
transcript.pyannote[382].speaker |
SPEAKER_05 |
transcript.pyannote[382].start |
4710.41721875 |
transcript.pyannote[382].end |
4715.31096875 |
transcript.pyannote[383].speaker |
SPEAKER_05 |
transcript.pyannote[383].start |
4716.05346875 |
transcript.pyannote[383].end |
4719.49596875 |
transcript.pyannote[384].speaker |
SPEAKER_05 |
transcript.pyannote[384].start |
4719.76596875 |
transcript.pyannote[384].end |
4739.18909375 |
transcript.pyannote[385].speaker |
SPEAKER_05 |
transcript.pyannote[385].start |
4739.76284375 |
transcript.pyannote[385].end |
4743.72846875 |
transcript.pyannote[386].speaker |
SPEAKER_05 |
transcript.pyannote[386].start |
4744.30221875 |
transcript.pyannote[386].end |
4752.08159375 |
transcript.pyannote[387].speaker |
SPEAKER_05 |
transcript.pyannote[387].start |
4752.45284375 |
transcript.pyannote[387].end |
4758.59534375 |
transcript.pyannote[388].speaker |
SPEAKER_05 |
transcript.pyannote[388].start |
4758.79784375 |
transcript.pyannote[388].end |
4760.87346875 |
transcript.pyannote[389].speaker |
SPEAKER_27 |
transcript.pyannote[389].start |
4761.09284375 |
transcript.pyannote[389].end |
4762.20659375 |
transcript.pyannote[390].speaker |
SPEAKER_05 |
transcript.pyannote[390].start |
4762.44284375 |
transcript.pyannote[390].end |
4783.18221875 |
transcript.pyannote[391].speaker |
SPEAKER_05 |
transcript.pyannote[391].start |
4783.57034375 |
transcript.pyannote[391].end |
4790.99534375 |
transcript.pyannote[392].speaker |
SPEAKER_27 |
transcript.pyannote[392].start |
4790.43846875 |
transcript.pyannote[392].end |
4794.96096875 |
transcript.pyannote[393].speaker |
SPEAKER_05 |
transcript.pyannote[393].start |
4794.97784375 |
transcript.pyannote[393].end |
4797.52596875 |
transcript.pyannote[394].speaker |
SPEAKER_05 |
transcript.pyannote[394].start |
4797.91409375 |
transcript.pyannote[394].end |
4798.31909375 |
transcript.pyannote[395].speaker |
SPEAKER_27 |
transcript.pyannote[395].start |
4798.31909375 |
transcript.pyannote[395].end |
4800.44534375 |
transcript.pyannote[396].speaker |
SPEAKER_05 |
transcript.pyannote[396].start |
4800.44534375 |
transcript.pyannote[396].end |
4801.49159375 |
transcript.pyannote[397].speaker |
SPEAKER_05 |
transcript.pyannote[397].start |
4801.86284375 |
transcript.pyannote[397].end |
4807.02659375 |
transcript.pyannote[398].speaker |
SPEAKER_05 |
transcript.pyannote[398].start |
4807.14471875 |
transcript.pyannote[398].end |
4807.65096875 |
transcript.pyannote[399].speaker |
SPEAKER_05 |
transcript.pyannote[399].start |
4807.81971875 |
transcript.pyannote[399].end |
4812.66284375 |
transcript.pyannote[400].speaker |
SPEAKER_15 |
transcript.pyannote[400].start |
4816.57784375 |
transcript.pyannote[400].end |
4819.63221875 |
transcript.pyannote[401].speaker |
SPEAKER_07 |
transcript.pyannote[401].start |
4833.46971875 |
transcript.pyannote[401].end |
4836.69284375 |
transcript.pyannote[402].speaker |
SPEAKER_07 |
transcript.pyannote[402].start |
4837.33409375 |
transcript.pyannote[402].end |
4839.29159375 |
transcript.pyannote[403].speaker |
SPEAKER_07 |
transcript.pyannote[403].start |
4839.98346875 |
transcript.pyannote[403].end |
4840.84409375 |
transcript.pyannote[404].speaker |
SPEAKER_07 |
transcript.pyannote[404].start |
4841.13096875 |
transcript.pyannote[404].end |
4841.18159375 |
transcript.pyannote[405].speaker |
SPEAKER_15 |
transcript.pyannote[405].start |
4841.18159375 |
transcript.pyannote[405].end |
4843.79721875 |
transcript.pyannote[406].speaker |
SPEAKER_07 |
transcript.pyannote[406].start |
4841.38409375 |
transcript.pyannote[406].end |
4841.40096875 |
transcript.pyannote[407].speaker |
SPEAKER_07 |
transcript.pyannote[407].start |
4841.45159375 |
transcript.pyannote[407].end |
4841.46846875 |
transcript.pyannote[408].speaker |
SPEAKER_07 |
transcript.pyannote[408].start |
4841.50221875 |
transcript.pyannote[408].end |
4841.60346875 |
transcript.pyannote[409].speaker |
SPEAKER_07 |
transcript.pyannote[409].start |
4847.54346875 |
transcript.pyannote[409].end |
4847.86409375 |
transcript.pyannote[410].speaker |
SPEAKER_07 |
transcript.pyannote[410].start |
4848.43784375 |
transcript.pyannote[410].end |
4849.16346875 |
transcript.pyannote[411].speaker |
SPEAKER_07 |
transcript.pyannote[411].start |
4850.68221875 |
transcript.pyannote[411].end |
4851.57659375 |
transcript.pyannote[412].speaker |
SPEAKER_08 |
transcript.pyannote[412].start |
4851.57659375 |
transcript.pyannote[412].end |
4851.59346875 |
transcript.pyannote[413].speaker |
SPEAKER_07 |
transcript.pyannote[413].start |
4852.40346875 |
transcript.pyannote[413].end |
4852.82534375 |
transcript.pyannote[414].speaker |
SPEAKER_08 |
transcript.pyannote[414].start |
4852.82534375 |
transcript.pyannote[414].end |
4852.85909375 |
transcript.pyannote[415].speaker |
SPEAKER_08 |
transcript.pyannote[415].start |
4853.29784375 |
transcript.pyannote[415].end |
4859.89596875 |
transcript.pyannote[416].speaker |
SPEAKER_08 |
transcript.pyannote[416].start |
4860.68909375 |
transcript.pyannote[416].end |
4872.51846875 |
transcript.pyannote[417].speaker |
SPEAKER_08 |
transcript.pyannote[417].start |
4872.78846875 |
transcript.pyannote[417].end |
4874.98221875 |
transcript.pyannote[418].speaker |
SPEAKER_08 |
transcript.pyannote[418].start |
4875.70784375 |
transcript.pyannote[418].end |
4877.59784375 |
transcript.pyannote[419].speaker |
SPEAKER_08 |
transcript.pyannote[419].start |
4878.01971875 |
transcript.pyannote[419].end |
4885.71471875 |
transcript.pyannote[420].speaker |
SPEAKER_08 |
transcript.pyannote[420].start |
4886.33909375 |
transcript.pyannote[420].end |
4892.07659375 |
transcript.pyannote[421].speaker |
SPEAKER_08 |
transcript.pyannote[421].start |
4892.32971875 |
transcript.pyannote[421].end |
4894.23659375 |
transcript.pyannote[422].speaker |
SPEAKER_08 |
transcript.pyannote[422].start |
4894.81034375 |
transcript.pyannote[422].end |
4898.05034375 |
transcript.pyannote[423].speaker |
SPEAKER_08 |
transcript.pyannote[423].start |
4898.28659375 |
transcript.pyannote[423].end |
4898.30346875 |
transcript.pyannote[424].speaker |
SPEAKER_27 |
transcript.pyannote[424].start |
4898.30346875 |
transcript.pyannote[424].end |
4898.53971875 |
transcript.pyannote[425].speaker |
SPEAKER_08 |
transcript.pyannote[425].start |
4898.53971875 |
transcript.pyannote[425].end |
4898.62409375 |
transcript.pyannote[426].speaker |
SPEAKER_08 |
transcript.pyannote[426].start |
4899.16409375 |
transcript.pyannote[426].end |
4899.38346875 |
transcript.pyannote[427].speaker |
SPEAKER_08 |
transcript.pyannote[427].start |
4899.73784375 |
transcript.pyannote[427].end |
4900.98659375 |
transcript.pyannote[428].speaker |
SPEAKER_08 |
transcript.pyannote[428].start |
4901.79659375 |
transcript.pyannote[428].end |
4903.48409375 |
transcript.pyannote[429].speaker |
SPEAKER_08 |
transcript.pyannote[429].start |
4904.10846875 |
transcript.pyannote[429].end |
4908.91784375 |
transcript.pyannote[430].speaker |
SPEAKER_08 |
transcript.pyannote[430].start |
4909.50846875 |
transcript.pyannote[430].end |
4911.41534375 |
transcript.pyannote[431].speaker |
SPEAKER_08 |
transcript.pyannote[431].start |
4911.48284375 |
transcript.pyannote[431].end |
4920.08909375 |
transcript.pyannote[432].speaker |
SPEAKER_08 |
transcript.pyannote[432].start |
4920.34221875 |
transcript.pyannote[432].end |
4921.86096875 |
transcript.pyannote[433].speaker |
SPEAKER_27 |
transcript.pyannote[433].start |
4922.33346875 |
transcript.pyannote[433].end |
4927.58159375 |
transcript.pyannote[434].speaker |
SPEAKER_27 |
transcript.pyannote[434].start |
4927.71659375 |
transcript.pyannote[434].end |
4936.72784375 |
transcript.pyannote[435].speaker |
SPEAKER_27 |
transcript.pyannote[435].start |
4936.96409375 |
transcript.pyannote[435].end |
4945.82346875 |
transcript.pyannote[436].speaker |
SPEAKER_08 |
transcript.pyannote[436].start |
4945.57034375 |
transcript.pyannote[436].end |
4948.47284375 |
transcript.pyannote[437].speaker |
SPEAKER_27 |
transcript.pyannote[437].start |
4948.45596875 |
transcript.pyannote[437].end |
4952.80971875 |
transcript.pyannote[438].speaker |
SPEAKER_08 |
transcript.pyannote[438].start |
4952.87721875 |
transcript.pyannote[438].end |
4959.22221875 |
transcript.pyannote[439].speaker |
SPEAKER_08 |
transcript.pyannote[439].start |
4959.89721875 |
transcript.pyannote[439].end |
4971.52409375 |
transcript.pyannote[440].speaker |
SPEAKER_02 |
transcript.pyannote[440].start |
4960.09971875 |
transcript.pyannote[440].end |
4960.60596875 |
transcript.pyannote[441].speaker |
SPEAKER_27 |
transcript.pyannote[441].start |
4960.60596875 |
transcript.pyannote[441].end |
4960.62284375 |
transcript.pyannote[442].speaker |
SPEAKER_07 |
transcript.pyannote[442].start |
4960.62284375 |
transcript.pyannote[442].end |
4960.63971875 |
transcript.pyannote[443].speaker |
SPEAKER_08 |
transcript.pyannote[443].start |
4971.60846875 |
transcript.pyannote[443].end |
4974.25784375 |
transcript.pyannote[444].speaker |
SPEAKER_08 |
transcript.pyannote[444].start |
4974.74721875 |
transcript.pyannote[444].end |
4978.72971875 |
transcript.pyannote[445].speaker |
SPEAKER_08 |
transcript.pyannote[445].start |
4978.91534375 |
transcript.pyannote[445].end |
4983.11721875 |
transcript.pyannote[446].speaker |
SPEAKER_08 |
transcript.pyannote[446].start |
4983.82596875 |
transcript.pyannote[446].end |
4989.54659375 |
transcript.pyannote[447].speaker |
SPEAKER_08 |
transcript.pyannote[447].start |
4989.96846875 |
transcript.pyannote[447].end |
4994.03534375 |
transcript.pyannote[448].speaker |
SPEAKER_08 |
transcript.pyannote[448].start |
4994.69346875 |
transcript.pyannote[448].end |
4998.62534375 |
transcript.pyannote[449].speaker |
SPEAKER_08 |
transcript.pyannote[449].start |
4999.35096875 |
transcript.pyannote[449].end |
5000.59971875 |
transcript.pyannote[450].speaker |
SPEAKER_08 |
transcript.pyannote[450].start |
5001.84846875 |
transcript.pyannote[450].end |
5004.48096875 |
transcript.pyannote[451].speaker |
SPEAKER_08 |
transcript.pyannote[451].start |
5005.52721875 |
transcript.pyannote[451].end |
5006.33721875 |
transcript.pyannote[452].speaker |
SPEAKER_08 |
transcript.pyannote[452].start |
5007.02909375 |
transcript.pyannote[452].end |
5007.92346875 |
transcript.pyannote[453].speaker |
SPEAKER_08 |
transcript.pyannote[453].start |
5008.54784375 |
transcript.pyannote[453].end |
5014.60596875 |
transcript.pyannote[454].speaker |
SPEAKER_08 |
transcript.pyannote[454].start |
5014.82534375 |
transcript.pyannote[454].end |
5019.85409375 |
transcript.pyannote[455].speaker |
SPEAKER_08 |
transcript.pyannote[455].start |
5020.05659375 |
transcript.pyannote[455].end |
5021.57534375 |
transcript.pyannote[456].speaker |
SPEAKER_08 |
transcript.pyannote[456].start |
5022.18284375 |
transcript.pyannote[456].end |
5022.94221875 |
transcript.pyannote[457].speaker |
SPEAKER_26 |
transcript.pyannote[457].start |
5022.87471875 |
transcript.pyannote[457].end |
5028.91596875 |
transcript.pyannote[458].speaker |
SPEAKER_26 |
transcript.pyannote[458].start |
5029.01721875 |
transcript.pyannote[458].end |
5029.05096875 |
transcript.pyannote[459].speaker |
SPEAKER_26 |
transcript.pyannote[459].start |
5029.10159375 |
transcript.pyannote[459].end |
5033.35409375 |
transcript.pyannote[460].speaker |
SPEAKER_26 |
transcript.pyannote[460].start |
5033.64096875 |
transcript.pyannote[460].end |
5037.45471875 |
transcript.pyannote[461].speaker |
SPEAKER_28 |
transcript.pyannote[461].start |
5037.31971875 |
transcript.pyannote[461].end |
5037.77534375 |
transcript.pyannote[462].speaker |
SPEAKER_26 |
transcript.pyannote[462].start |
5037.57284375 |
transcript.pyannote[462].end |
5051.10659375 |
transcript.pyannote[463].speaker |
SPEAKER_08 |
transcript.pyannote[463].start |
5049.99284375 |
transcript.pyannote[463].end |
5053.26659375 |
transcript.pyannote[464].speaker |
SPEAKER_26 |
transcript.pyannote[464].start |
5052.22034375 |
transcript.pyannote[464].end |
5052.55784375 |
transcript.pyannote[465].speaker |
SPEAKER_08 |
transcript.pyannote[465].start |
5053.60409375 |
transcript.pyannote[465].end |
5055.00471875 |
transcript.pyannote[466].speaker |
SPEAKER_08 |
transcript.pyannote[466].start |
5055.64596875 |
transcript.pyannote[466].end |
5057.83971875 |
transcript.pyannote[467].speaker |
SPEAKER_26 |
transcript.pyannote[467].start |
5057.55284375 |
transcript.pyannote[467].end |
5071.06971875 |
transcript.pyannote[468].speaker |
SPEAKER_08 |
transcript.pyannote[468].start |
5060.06721875 |
transcript.pyannote[468].end |
5060.80971875 |
transcript.pyannote[469].speaker |
SPEAKER_08 |
transcript.pyannote[469].start |
5069.66909375 |
transcript.pyannote[469].end |
5097.17534375 |
transcript.pyannote[470].speaker |
SPEAKER_26 |
transcript.pyannote[470].start |
5072.74034375 |
transcript.pyannote[470].end |
5074.10721875 |
transcript.pyannote[471].speaker |
SPEAKER_00 |
transcript.pyannote[471].start |
5081.51534375 |
transcript.pyannote[471].end |
5082.29159375 |
transcript.pyannote[472].speaker |
SPEAKER_09 |
transcript.pyannote[472].start |
5089.71659375 |
transcript.pyannote[472].end |
5089.96971875 |
transcript.pyannote[473].speaker |
SPEAKER_26 |
transcript.pyannote[473].start |
5097.59721875 |
transcript.pyannote[473].end |
5097.66471875 |
transcript.pyannote[474].speaker |
SPEAKER_26 |
transcript.pyannote[474].start |
5097.85034375 |
transcript.pyannote[474].end |
5114.20221875 |
transcript.pyannote[475].speaker |
SPEAKER_08 |
transcript.pyannote[475].start |
5113.37534375 |
transcript.pyannote[475].end |
5117.39159375 |
transcript.pyannote[476].speaker |
SPEAKER_26 |
transcript.pyannote[476].start |
5114.92784375 |
transcript.pyannote[476].end |
5116.29471875 |
transcript.pyannote[477].speaker |
SPEAKER_26 |
transcript.pyannote[477].start |
5117.49284375 |
transcript.pyannote[477].end |
5119.18034375 |
transcript.pyannote[478].speaker |
SPEAKER_08 |
transcript.pyannote[478].start |
5118.37034375 |
transcript.pyannote[478].end |
5120.07471875 |
transcript.pyannote[479].speaker |
SPEAKER_26 |
transcript.pyannote[479].start |
5121.03659375 |
transcript.pyannote[479].end |
5125.22159375 |
transcript.pyannote[480].speaker |
SPEAKER_08 |
transcript.pyannote[480].start |
5122.09971875 |
transcript.pyannote[480].end |
5126.23409375 |
transcript.pyannote[481].speaker |
SPEAKER_26 |
transcript.pyannote[481].start |
5126.06534375 |
transcript.pyannote[481].end |
5126.35221875 |
transcript.pyannote[482].speaker |
SPEAKER_08 |
transcript.pyannote[482].start |
5126.26784375 |
transcript.pyannote[482].end |
5132.47784375 |
transcript.pyannote[483].speaker |
SPEAKER_28 |
transcript.pyannote[483].start |
5132.44409375 |
transcript.pyannote[483].end |
5132.73096875 |
transcript.pyannote[484].speaker |
SPEAKER_08 |
transcript.pyannote[484].start |
5132.49471875 |
transcript.pyannote[484].end |
5132.56221875 |
transcript.pyannote[485].speaker |
SPEAKER_08 |
transcript.pyannote[485].start |
5132.62971875 |
transcript.pyannote[485].end |
5138.70471875 |
transcript.pyannote[486].speaker |
SPEAKER_08 |
transcript.pyannote[486].start |
5138.85659375 |
transcript.pyannote[486].end |
5143.34534375 |
transcript.pyannote[487].speaker |
SPEAKER_28 |
transcript.pyannote[487].start |
5143.27784375 |
transcript.pyannote[487].end |
5143.61534375 |
transcript.pyannote[488].speaker |
SPEAKER_08 |
transcript.pyannote[488].start |
5143.61534375 |
transcript.pyannote[488].end |
5150.09534375 |
transcript.pyannote[489].speaker |
SPEAKER_26 |
transcript.pyannote[489].start |
5148.86346875 |
transcript.pyannote[489].end |
5175.10409375 |
transcript.pyannote[490].speaker |
SPEAKER_08 |
transcript.pyannote[490].start |
5150.56784375 |
transcript.pyannote[490].end |
5150.80409375 |
transcript.pyannote[491].speaker |
SPEAKER_08 |
transcript.pyannote[491].start |
5169.67034375 |
transcript.pyannote[491].end |
5170.07534375 |
transcript.pyannote[492].speaker |
SPEAKER_08 |
transcript.pyannote[492].start |
5174.74971875 |
transcript.pyannote[492].end |
5181.78659375 |
transcript.pyannote[493].speaker |
SPEAKER_08 |
transcript.pyannote[493].start |
5182.00596875 |
transcript.pyannote[493].end |
5191.10159375 |
transcript.pyannote[494].speaker |
SPEAKER_08 |
transcript.pyannote[494].start |
5191.15221875 |
transcript.pyannote[494].end |
5192.31659375 |
transcript.pyannote[495].speaker |
SPEAKER_08 |
transcript.pyannote[495].start |
5192.36721875 |
transcript.pyannote[495].end |
5196.67034375 |
transcript.pyannote[496].speaker |
SPEAKER_08 |
transcript.pyannote[496].start |
5202.84659375 |
transcript.pyannote[496].end |
5205.27659375 |
transcript.pyannote[497].speaker |
SPEAKER_08 |
transcript.pyannote[497].start |
5205.47909375 |
transcript.pyannote[497].end |
5209.68096875 |
transcript.pyannote[498].speaker |
SPEAKER_08 |
transcript.pyannote[498].start |
5210.17034375 |
transcript.pyannote[498].end |
5216.24534375 |
transcript.pyannote[499].speaker |
SPEAKER_08 |
transcript.pyannote[499].start |
5216.56596875 |
transcript.pyannote[499].end |
5225.56034375 |
transcript.pyannote[500].speaker |
SPEAKER_08 |
transcript.pyannote[500].start |
5225.93159375 |
transcript.pyannote[500].end |
5231.24721875 |
transcript.pyannote[501].speaker |
SPEAKER_08 |
transcript.pyannote[501].start |
5231.44971875 |
transcript.pyannote[501].end |
5239.73534375 |
transcript.pyannote[502].speaker |
SPEAKER_08 |
transcript.pyannote[502].start |
5240.02221875 |
transcript.pyannote[502].end |
5268.59159375 |
transcript.pyannote[503].speaker |
SPEAKER_08 |
transcript.pyannote[503].start |
5269.06409375 |
transcript.pyannote[503].end |
5269.68846875 |
transcript.pyannote[504].speaker |
SPEAKER_08 |
transcript.pyannote[504].start |
5270.17784375 |
transcript.pyannote[504].end |
5278.10909375 |
transcript.pyannote[505].speaker |
SPEAKER_08 |
transcript.pyannote[505].start |
5278.36221875 |
transcript.pyannote[505].end |
5279.79659375 |
transcript.pyannote[506].speaker |
SPEAKER_08 |
transcript.pyannote[506].start |
5280.60659375 |
transcript.pyannote[506].end |
5282.02409375 |
transcript.pyannote[507].speaker |
SPEAKER_08 |
transcript.pyannote[507].start |
5282.44596875 |
transcript.pyannote[507].end |
5289.78659375 |
transcript.pyannote[508].speaker |
SPEAKER_08 |
transcript.pyannote[508].start |
5290.73159375 |
transcript.pyannote[508].end |
5296.70534375 |
transcript.pyannote[509].speaker |
SPEAKER_08 |
transcript.pyannote[509].start |
5296.90784375 |
transcript.pyannote[509].end |
5297.46471875 |
transcript.pyannote[510].speaker |
SPEAKER_16 |
transcript.pyannote[510].start |
5298.24096875 |
transcript.pyannote[510].end |
5306.12159375 |
transcript.pyannote[511].speaker |
SPEAKER_08 |
transcript.pyannote[511].start |
5306.13846875 |
transcript.pyannote[511].end |
5321.59596875 |
transcript.pyannote[512].speaker |
SPEAKER_08 |
transcript.pyannote[512].start |
5322.03471875 |
transcript.pyannote[512].end |
5333.08784375 |
transcript.pyannote[513].speaker |
SPEAKER_08 |
transcript.pyannote[513].start |
5334.26909375 |
transcript.pyannote[513].end |
5340.86721875 |
transcript.pyannote[514].speaker |
SPEAKER_16 |
transcript.pyannote[514].start |
5341.35659375 |
transcript.pyannote[514].end |
5341.62659375 |
transcript.pyannote[515].speaker |
SPEAKER_08 |
transcript.pyannote[515].start |
5341.59284375 |
transcript.pyannote[515].end |
5344.59659375 |
transcript.pyannote[516].speaker |
SPEAKER_08 |
transcript.pyannote[516].start |
5344.84971875 |
transcript.pyannote[516].end |
5361.35346875 |
transcript.pyannote[517].speaker |
SPEAKER_08 |
transcript.pyannote[517].start |
5361.99471875 |
transcript.pyannote[517].end |
5374.33034375 |
transcript.pyannote[518].speaker |
SPEAKER_08 |
transcript.pyannote[518].start |
5374.41471875 |
transcript.pyannote[518].end |
5381.90721875 |
transcript.pyannote[519].speaker |
SPEAKER_08 |
transcript.pyannote[519].start |
5382.59909375 |
transcript.pyannote[519].end |
5383.91534375 |
transcript.pyannote[520].speaker |
SPEAKER_08 |
transcript.pyannote[520].start |
5384.37096875 |
transcript.pyannote[520].end |
5386.49721875 |
transcript.pyannote[521].speaker |
SPEAKER_08 |
transcript.pyannote[521].start |
5386.90221875 |
transcript.pyannote[521].end |
5388.18471875 |
transcript.pyannote[522].speaker |
SPEAKER_08 |
transcript.pyannote[522].start |
5388.77534375 |
transcript.pyannote[522].end |
5394.74909375 |
transcript.pyannote[523].speaker |
SPEAKER_08 |
transcript.pyannote[523].start |
5395.62659375 |
transcript.pyannote[523].end |
5398.22534375 |
transcript.pyannote[524].speaker |
SPEAKER_08 |
transcript.pyannote[524].start |
5398.61346875 |
transcript.pyannote[524].end |
5407.33784375 |
transcript.pyannote[525].speaker |
SPEAKER_08 |
transcript.pyannote[525].start |
5407.84409375 |
transcript.pyannote[525].end |
5408.78909375 |
transcript.pyannote[526].speaker |
SPEAKER_08 |
transcript.pyannote[526].start |
5409.70034375 |
transcript.pyannote[526].end |
5410.40909375 |
transcript.pyannote[527].speaker |
SPEAKER_08 |
transcript.pyannote[527].start |
5410.59471875 |
transcript.pyannote[527].end |
5413.71659375 |
transcript.pyannote[528].speaker |
SPEAKER_16 |
transcript.pyannote[528].start |
5414.86409375 |
transcript.pyannote[528].end |
5419.50471875 |
transcript.pyannote[529].speaker |
SPEAKER_08 |
transcript.pyannote[529].start |
5418.88034375 |
transcript.pyannote[529].end |
5420.04471875 |
transcript.pyannote[530].speaker |
SPEAKER_16 |
transcript.pyannote[530].start |
5419.99409375 |
transcript.pyannote[530].end |
5424.49971875 |
transcript.pyannote[531].speaker |
SPEAKER_16 |
transcript.pyannote[531].start |
5424.78659375 |
transcript.pyannote[531].end |
5435.51909375 |
transcript.pyannote[532].speaker |
SPEAKER_08 |
transcript.pyannote[532].start |
5426.10284375 |
transcript.pyannote[532].end |
5426.69346875 |
transcript.pyannote[533].speaker |
SPEAKER_08 |
transcript.pyannote[533].start |
5431.31721875 |
transcript.pyannote[533].end |
5431.73909375 |
transcript.pyannote[534].speaker |
SPEAKER_08 |
transcript.pyannote[534].start |
5435.94096875 |
transcript.pyannote[534].end |
5447.73659375 |
transcript.pyannote[535].speaker |
SPEAKER_16 |
transcript.pyannote[535].start |
5439.63659375 |
transcript.pyannote[535].end |
5439.97409375 |
transcript.pyannote[536].speaker |
SPEAKER_08 |
transcript.pyannote[536].start |
5448.02346875 |
transcript.pyannote[536].end |
5449.18784375 |
transcript.pyannote[537].speaker |
SPEAKER_08 |
transcript.pyannote[537].start |
5449.52534375 |
transcript.pyannote[537].end |
5454.46971875 |
transcript.pyannote[538].speaker |
SPEAKER_08 |
transcript.pyannote[538].start |
5454.60471875 |
transcript.pyannote[538].end |
5458.31721875 |
transcript.pyannote[539].speaker |
SPEAKER_08 |
transcript.pyannote[539].start |
5458.97534375 |
transcript.pyannote[539].end |
5494.10909375 |
transcript.pyannote[540].speaker |
SPEAKER_28 |
transcript.pyannote[540].start |
5494.19346875 |
transcript.pyannote[540].end |
5495.15534375 |
transcript.pyannote[541].speaker |
SPEAKER_08 |
transcript.pyannote[541].start |
5494.51409375 |
transcript.pyannote[541].end |
5495.07096875 |
transcript.pyannote[542].speaker |
SPEAKER_08 |
transcript.pyannote[542].start |
5496.16784375 |
transcript.pyannote[542].end |
5497.04534375 |
transcript.pyannote[543].speaker |
SPEAKER_15 |
transcript.pyannote[543].start |
5497.04534375 |
transcript.pyannote[543].end |
5497.06221875 |
transcript.pyannote[544].speaker |
SPEAKER_15 |
transcript.pyannote[544].start |
5501.02784375 |
transcript.pyannote[544].end |
5503.96409375 |
transcript.pyannote[545].speaker |
SPEAKER_06 |
transcript.pyannote[545].start |
5511.81096875 |
transcript.pyannote[545].end |
5513.49846875 |
transcript.pyannote[546].speaker |
SPEAKER_06 |
transcript.pyannote[546].start |
5514.27471875 |
transcript.pyannote[546].end |
5515.57409375 |
transcript.pyannote[547].speaker |
SPEAKER_14 |
transcript.pyannote[547].start |
5520.92346875 |
transcript.pyannote[547].end |
5522.20596875 |
transcript.pyannote[548].speaker |
SPEAKER_14 |
transcript.pyannote[548].start |
5522.29034375 |
transcript.pyannote[548].end |
5522.79659375 |
transcript.pyannote[549].speaker |
SPEAKER_14 |
transcript.pyannote[549].start |
5523.38721875 |
transcript.pyannote[549].end |
5564.37659375 |
transcript.pyannote[550].speaker |
SPEAKER_14 |
transcript.pyannote[550].start |
5564.83221875 |
transcript.pyannote[550].end |
5574.51846875 |
transcript.pyannote[551].speaker |
SPEAKER_14 |
transcript.pyannote[551].start |
5574.56909375 |
transcript.pyannote[551].end |
5578.93971875 |
transcript.pyannote[552].speaker |
SPEAKER_14 |
transcript.pyannote[552].start |
5579.37846875 |
transcript.pyannote[552].end |
5579.39534375 |
transcript.pyannote[553].speaker |
SPEAKER_27 |
transcript.pyannote[553].start |
5579.39534375 |
transcript.pyannote[553].end |
5595.03846875 |
transcript.pyannote[554].speaker |
SPEAKER_14 |
transcript.pyannote[554].start |
5595.03846875 |
transcript.pyannote[554].end |
5603.50971875 |
transcript.pyannote[555].speaker |
SPEAKER_27 |
transcript.pyannote[555].start |
5595.73034375 |
transcript.pyannote[555].end |
5595.88221875 |
transcript.pyannote[556].speaker |
SPEAKER_14 |
transcript.pyannote[556].start |
5604.52221875 |
transcript.pyannote[556].end |
5605.97346875 |
transcript.pyannote[557].speaker |
SPEAKER_27 |
transcript.pyannote[557].start |
5605.97346875 |
transcript.pyannote[557].end |
5606.24346875 |
transcript.pyannote[558].speaker |
SPEAKER_14 |
transcript.pyannote[558].start |
5606.24346875 |
transcript.pyannote[558].end |
5606.56409375 |
transcript.pyannote[559].speaker |
SPEAKER_27 |
transcript.pyannote[559].start |
5606.56409375 |
transcript.pyannote[559].end |
5606.71596875 |
transcript.pyannote[560].speaker |
SPEAKER_14 |
transcript.pyannote[560].start |
5606.71596875 |
transcript.pyannote[560].end |
5606.96909375 |
transcript.pyannote[561].speaker |
SPEAKER_27 |
transcript.pyannote[561].start |
5606.96909375 |
transcript.pyannote[561].end |
5608.92659375 |
transcript.pyannote[562].speaker |
SPEAKER_14 |
transcript.pyannote[562].start |
5609.29784375 |
transcript.pyannote[562].end |
5628.50159375 |
transcript.pyannote[563].speaker |
SPEAKER_14 |
transcript.pyannote[563].start |
5628.83909375 |
transcript.pyannote[563].end |
5629.96971875 |
transcript.pyannote[564].speaker |
SPEAKER_27 |
transcript.pyannote[564].start |
5629.96971875 |
transcript.pyannote[564].end |
5641.02284375 |
transcript.pyannote[565].speaker |
SPEAKER_14 |
transcript.pyannote[565].start |
5641.02284375 |
transcript.pyannote[565].end |
5650.48971875 |
transcript.pyannote[566].speaker |
SPEAKER_14 |
transcript.pyannote[566].start |
5651.01284375 |
transcript.pyannote[566].end |
5653.89846875 |
transcript.pyannote[567].speaker |
SPEAKER_14 |
transcript.pyannote[567].start |
5654.08409375 |
transcript.pyannote[567].end |
5690.82096875 |
transcript.pyannote[568].speaker |
SPEAKER_27 |
transcript.pyannote[568].start |
5691.39471875 |
transcript.pyannote[568].end |
5709.02909375 |
transcript.pyannote[569].speaker |
SPEAKER_14 |
transcript.pyannote[569].start |
5709.02909375 |
transcript.pyannote[569].end |
5727.96284375 |
transcript.pyannote[570].speaker |
SPEAKER_28 |
transcript.pyannote[570].start |
5723.30534375 |
transcript.pyannote[570].end |
5723.65971875 |
transcript.pyannote[571].speaker |
SPEAKER_27 |
transcript.pyannote[571].start |
5727.60846875 |
transcript.pyannote[571].end |
5727.67596875 |
transcript.pyannote[572].speaker |
SPEAKER_28 |
transcript.pyannote[572].start |
5727.67596875 |
transcript.pyannote[572].end |
5727.84471875 |
transcript.pyannote[573].speaker |
SPEAKER_27 |
transcript.pyannote[573].start |
5727.84471875 |
transcript.pyannote[573].end |
5727.87846875 |
transcript.pyannote[574].speaker |
SPEAKER_27 |
transcript.pyannote[574].start |
5727.96284375 |
transcript.pyannote[574].end |
5734.35846875 |
transcript.pyannote[575].speaker |
SPEAKER_27 |
transcript.pyannote[575].start |
5734.42596875 |
transcript.pyannote[575].end |
5734.61159375 |
transcript.pyannote[576].speaker |
SPEAKER_14 |
transcript.pyannote[576].start |
5735.26971875 |
transcript.pyannote[576].end |
5744.26409375 |
transcript.pyannote[577].speaker |
SPEAKER_21 |
transcript.pyannote[577].start |
5744.31471875 |
transcript.pyannote[577].end |
5744.73659375 |
transcript.pyannote[578].speaker |
SPEAKER_14 |
transcript.pyannote[578].start |
5744.73659375 |
transcript.pyannote[578].end |
5748.46596875 |
transcript.pyannote[579].speaker |
SPEAKER_27 |
transcript.pyannote[579].start |
5749.07346875 |
transcript.pyannote[579].end |
5771.02784375 |
transcript.pyannote[580].speaker |
SPEAKER_14 |
transcript.pyannote[580].start |
5771.02784375 |
transcript.pyannote[580].end |
5778.45284375 |
transcript.pyannote[581].speaker |
SPEAKER_14 |
transcript.pyannote[581].start |
5778.73971875 |
transcript.pyannote[581].end |
5793.77534375 |
transcript.pyannote[582].speaker |
SPEAKER_27 |
transcript.pyannote[582].start |
5794.02846875 |
transcript.pyannote[582].end |
5802.26346875 |
transcript.pyannote[583].speaker |
SPEAKER_14 |
transcript.pyannote[583].start |
5795.36159375 |
transcript.pyannote[583].end |
5796.22221875 |
transcript.pyannote[584].speaker |
SPEAKER_14 |
transcript.pyannote[584].start |
5797.28534375 |
transcript.pyannote[584].end |
5798.23034375 |
transcript.pyannote[585].speaker |
SPEAKER_14 |
transcript.pyannote[585].start |
5803.20846875 |
transcript.pyannote[585].end |
5803.57971875 |
transcript.pyannote[586].speaker |
SPEAKER_14 |
transcript.pyannote[586].start |
5804.00159375 |
transcript.pyannote[586].end |
5804.74409375 |
transcript.pyannote[587].speaker |
SPEAKER_14 |
transcript.pyannote[587].start |
5805.06471875 |
transcript.pyannote[587].end |
5810.29596875 |
transcript.pyannote[588].speaker |
SPEAKER_21 |
transcript.pyannote[588].start |
5807.41034375 |
transcript.pyannote[588].end |
5807.79846875 |
transcript.pyannote[589].speaker |
SPEAKER_21 |
transcript.pyannote[589].start |
5810.29596875 |
transcript.pyannote[589].end |
5810.46471875 |
transcript.pyannote[590].speaker |
SPEAKER_14 |
transcript.pyannote[590].start |
5810.46471875 |
transcript.pyannote[590].end |
5821.23096875 |
transcript.pyannote[591].speaker |
SPEAKER_21 |
transcript.pyannote[591].start |
5811.24096875 |
transcript.pyannote[591].end |
5811.51096875 |
transcript.pyannote[592].speaker |
SPEAKER_14 |
transcript.pyannote[592].start |
5821.99034375 |
transcript.pyannote[592].end |
5822.42909375 |
transcript.pyannote[593].speaker |
SPEAKER_14 |
transcript.pyannote[593].start |
5822.83409375 |
transcript.pyannote[593].end |
5823.72846875 |
transcript.pyannote[594].speaker |
SPEAKER_14 |
transcript.pyannote[594].start |
5824.69034375 |
transcript.pyannote[594].end |
5830.88346875 |
transcript.pyannote[595].speaker |
SPEAKER_14 |
transcript.pyannote[595].start |
5832.06471875 |
transcript.pyannote[595].end |
5832.08159375 |
transcript.pyannote[596].speaker |
SPEAKER_27 |
transcript.pyannote[596].start |
5832.08159375 |
transcript.pyannote[596].end |
5834.29221875 |
transcript.pyannote[597].speaker |
SPEAKER_27 |
transcript.pyannote[597].start |
5834.66346875 |
transcript.pyannote[597].end |
5839.10159375 |
transcript.pyannote[598].speaker |
SPEAKER_14 |
transcript.pyannote[598].start |
5838.88221875 |
transcript.pyannote[598].end |
5842.67909375 |
transcript.pyannote[599].speaker |
SPEAKER_14 |
transcript.pyannote[599].start |
5842.96596875 |
transcript.pyannote[599].end |
5845.44659375 |
transcript.pyannote[600].speaker |
SPEAKER_14 |
transcript.pyannote[600].start |
5845.58159375 |
transcript.pyannote[600].end |
5849.96909375 |
transcript.pyannote[601].speaker |
SPEAKER_14 |
transcript.pyannote[601].start |
5850.25596875 |
transcript.pyannote[601].end |
5851.63971875 |
transcript.pyannote[602].speaker |
SPEAKER_14 |
transcript.pyannote[602].start |
5852.43284375 |
transcript.pyannote[602].end |
5854.96409375 |
transcript.pyannote[603].speaker |
SPEAKER_27 |
transcript.pyannote[603].start |
5854.96409375 |
transcript.pyannote[603].end |
5859.80721875 |
transcript.pyannote[604].speaker |
SPEAKER_14 |
transcript.pyannote[604].start |
5859.80721875 |
transcript.pyannote[604].end |
5861.78159375 |
transcript.pyannote[605].speaker |
SPEAKER_27 |
transcript.pyannote[605].start |
5860.09409375 |
transcript.pyannote[605].end |
5861.59596875 |
transcript.pyannote[606].speaker |
SPEAKER_14 |
transcript.pyannote[606].start |
5862.43971875 |
transcript.pyannote[606].end |
5871.43409375 |
transcript.pyannote[607].speaker |
SPEAKER_14 |
transcript.pyannote[607].start |
5871.48471875 |
transcript.pyannote[607].end |
5889.25409375 |
transcript.pyannote[608].speaker |
SPEAKER_14 |
transcript.pyannote[608].start |
5889.60846875 |
transcript.pyannote[608].end |
5894.43471875 |
transcript.pyannote[609].speaker |
SPEAKER_14 |
transcript.pyannote[609].start |
5895.14346875 |
transcript.pyannote[609].end |
5896.79721875 |
transcript.pyannote[610].speaker |
SPEAKER_27 |
transcript.pyannote[610].start |
5897.18534375 |
transcript.pyannote[610].end |
5911.95096875 |
transcript.pyannote[611].speaker |
SPEAKER_14 |
transcript.pyannote[611].start |
5898.83909375 |
transcript.pyannote[611].end |
5900.77971875 |
transcript.pyannote[612].speaker |
SPEAKER_27 |
transcript.pyannote[612].start |
5912.13659375 |
transcript.pyannote[612].end |
5919.03846875 |
transcript.pyannote[613].speaker |
SPEAKER_14 |
transcript.pyannote[613].start |
5919.03846875 |
transcript.pyannote[613].end |
5922.12659375 |
transcript.pyannote[614].speaker |
SPEAKER_14 |
transcript.pyannote[614].start |
5922.83534375 |
transcript.pyannote[614].end |
5927.00346875 |
transcript.pyannote[615].speaker |
SPEAKER_27 |
transcript.pyannote[615].start |
5926.27784375 |
transcript.pyannote[615].end |
5931.82971875 |
transcript.pyannote[616].speaker |
SPEAKER_27 |
transcript.pyannote[616].start |
5932.90971875 |
transcript.pyannote[616].end |
5932.92659375 |
transcript.pyannote[617].speaker |
SPEAKER_14 |
transcript.pyannote[617].start |
5932.92659375 |
transcript.pyannote[617].end |
5933.29784375 |
transcript.pyannote[618].speaker |
SPEAKER_27 |
transcript.pyannote[618].start |
5933.29784375 |
transcript.pyannote[618].end |
5933.31471875 |
transcript.pyannote[619].speaker |
SPEAKER_14 |
transcript.pyannote[619].start |
5933.75346875 |
transcript.pyannote[619].end |
5937.95534375 |
transcript.pyannote[620].speaker |
SPEAKER_14 |
transcript.pyannote[620].start |
5938.66409375 |
transcript.pyannote[620].end |
5941.21221875 |
transcript.pyannote[621].speaker |
SPEAKER_14 |
transcript.pyannote[621].start |
5941.46534375 |
transcript.pyannote[621].end |
5941.87034375 |
transcript.pyannote[622].speaker |
SPEAKER_14 |
transcript.pyannote[622].start |
5942.32596875 |
transcript.pyannote[622].end |
5943.25409375 |
transcript.pyannote[623].speaker |
SPEAKER_14 |
transcript.pyannote[623].start |
5943.55784375 |
transcript.pyannote[623].end |
5949.85221875 |
transcript.pyannote[624].speaker |
SPEAKER_14 |
transcript.pyannote[624].start |
5950.64534375 |
transcript.pyannote[624].end |
5953.80096875 |
transcript.pyannote[625].speaker |
SPEAKER_14 |
transcript.pyannote[625].start |
5954.27346875 |
transcript.pyannote[625].end |
5956.63596875 |
transcript.pyannote[626].speaker |
SPEAKER_14 |
transcript.pyannote[626].start |
5957.10846875 |
transcript.pyannote[626].end |
5959.31909375 |
transcript.pyannote[627].speaker |
SPEAKER_14 |
transcript.pyannote[627].start |
5960.12909375 |
transcript.pyannote[627].end |
5961.34409375 |
transcript.pyannote[628].speaker |
SPEAKER_14 |
transcript.pyannote[628].start |
5961.39471875 |
transcript.pyannote[628].end |
5974.45596875 |
transcript.pyannote[629].speaker |
SPEAKER_14 |
transcript.pyannote[629].start |
5975.29971875 |
transcript.pyannote[629].end |
5983.36596875 |
transcript.pyannote[630].speaker |
SPEAKER_14 |
transcript.pyannote[630].start |
5984.07471875 |
transcript.pyannote[630].end |
5994.30096875 |
transcript.pyannote[631].speaker |
SPEAKER_14 |
transcript.pyannote[631].start |
5994.84096875 |
transcript.pyannote[631].end |
5998.01346875 |
transcript.pyannote[632].speaker |
SPEAKER_14 |
transcript.pyannote[632].start |
5999.02596875 |
transcript.pyannote[632].end |
6001.10159375 |
transcript.pyannote[633].speaker |
SPEAKER_27 |
transcript.pyannote[633].start |
6001.10159375 |
transcript.pyannote[633].end |
6001.13534375 |
transcript.pyannote[634].speaker |
SPEAKER_27 |
transcript.pyannote[634].start |
6001.81034375 |
transcript.pyannote[634].end |
6001.82721875 |
transcript.pyannote[635].speaker |
SPEAKER_14 |
transcript.pyannote[635].start |
6001.82721875 |
transcript.pyannote[635].end |
6001.91159375 |
transcript.pyannote[636].speaker |
SPEAKER_27 |
transcript.pyannote[636].start |
6001.91159375 |
transcript.pyannote[636].end |
6005.82659375 |
transcript.pyannote[637].speaker |
SPEAKER_27 |
transcript.pyannote[637].start |
6007.42971875 |
transcript.pyannote[637].end |
6008.03721875 |
transcript.pyannote[638].speaker |
SPEAKER_14 |
transcript.pyannote[638].start |
6008.03721875 |
transcript.pyannote[638].end |
6010.82159375 |
transcript.pyannote[639].speaker |
SPEAKER_14 |
transcript.pyannote[639].start |
6011.26034375 |
transcript.pyannote[639].end |
6018.66846875 |
transcript.pyannote[640].speaker |
SPEAKER_14 |
transcript.pyannote[640].start |
6019.30971875 |
transcript.pyannote[640].end |
6021.30096875 |
transcript.pyannote[641].speaker |
SPEAKER_14 |
transcript.pyannote[641].start |
6021.67221875 |
transcript.pyannote[641].end |
6023.46096875 |
transcript.pyannote[642].speaker |
SPEAKER_27 |
transcript.pyannote[642].start |
6023.71409375 |
transcript.pyannote[642].end |
6028.25346875 |
transcript.pyannote[643].speaker |
SPEAKER_27 |
transcript.pyannote[643].start |
6028.52346875 |
transcript.pyannote[643].end |
6033.38346875 |
transcript.pyannote[644].speaker |
SPEAKER_27 |
transcript.pyannote[644].start |
6033.82221875 |
transcript.pyannote[644].end |
6039.25596875 |
transcript.pyannote[645].speaker |
SPEAKER_27 |
transcript.pyannote[645].start |
6039.82971875 |
transcript.pyannote[645].end |
6041.68596875 |
transcript.pyannote[646].speaker |
SPEAKER_27 |
transcript.pyannote[646].start |
6042.34409375 |
transcript.pyannote[646].end |
6043.91346875 |
transcript.pyannote[647].speaker |
SPEAKER_27 |
transcript.pyannote[647].start |
6044.26784375 |
transcript.pyannote[647].end |
6048.41909375 |
transcript.pyannote[648].speaker |
SPEAKER_14 |
transcript.pyannote[648].start |
6045.17909375 |
transcript.pyannote[648].end |
6046.34346875 |
transcript.pyannote[649].speaker |
SPEAKER_14 |
transcript.pyannote[649].start |
6047.30534375 |
transcript.pyannote[649].end |
6054.78096875 |
transcript.pyannote[650].speaker |
SPEAKER_27 |
transcript.pyannote[650].start |
6051.43971875 |
transcript.pyannote[650].end |
6052.30034375 |
transcript.pyannote[651].speaker |
SPEAKER_27 |
transcript.pyannote[651].start |
6054.78096875 |
transcript.pyannote[651].end |
6055.06784375 |
transcript.pyannote[652].speaker |
SPEAKER_14 |
transcript.pyannote[652].start |
6055.06784375 |
transcript.pyannote[652].end |
6059.55659375 |
transcript.pyannote[653].speaker |
SPEAKER_14 |
transcript.pyannote[653].start |
6060.68721875 |
transcript.pyannote[653].end |
6066.30659375 |
transcript.pyannote[654].speaker |
SPEAKER_27 |
transcript.pyannote[654].start |
6062.44221875 |
transcript.pyannote[654].end |
6063.15096875 |
transcript.pyannote[655].speaker |
SPEAKER_27 |
transcript.pyannote[655].start |
6065.66534375 |
transcript.pyannote[655].end |
6066.07034375 |
transcript.pyannote[656].speaker |
SPEAKER_27 |
transcript.pyannote[656].start |
6066.30659375 |
transcript.pyannote[656].end |
6066.62721875 |
transcript.pyannote[657].speaker |
SPEAKER_27 |
transcript.pyannote[657].start |
6067.31909375 |
transcript.pyannote[657].end |
6077.34284375 |
transcript.pyannote[658].speaker |
SPEAKER_14 |
transcript.pyannote[658].start |
6067.42034375 |
transcript.pyannote[658].end |
6068.01096875 |
transcript.pyannote[659].speaker |
SPEAKER_14 |
transcript.pyannote[659].start |
6076.33034375 |
transcript.pyannote[659].end |
6094.80846875 |
transcript.pyannote[660].speaker |
SPEAKER_27 |
transcript.pyannote[660].start |
6093.66096875 |
transcript.pyannote[660].end |
6097.25534375 |
transcript.pyannote[661].speaker |
SPEAKER_14 |
transcript.pyannote[661].start |
6097.44096875 |
transcript.pyannote[661].end |
6118.82159375 |
transcript.pyannote[662].speaker |
SPEAKER_27 |
transcript.pyannote[662].start |
6098.82471875 |
transcript.pyannote[662].end |
6099.98909375 |
transcript.pyannote[663].speaker |
SPEAKER_14 |
transcript.pyannote[663].start |
6119.80034375 |
transcript.pyannote[663].end |
6120.98159375 |
transcript.pyannote[664].speaker |
SPEAKER_14 |
transcript.pyannote[664].start |
6121.53846875 |
transcript.pyannote[664].end |
6128.22096875 |
transcript.pyannote[665].speaker |
SPEAKER_14 |
transcript.pyannote[665].start |
6128.99721875 |
transcript.pyannote[665].end |
6136.96221875 |
transcript.pyannote[666].speaker |
SPEAKER_14 |
transcript.pyannote[666].start |
6137.09721875 |
transcript.pyannote[666].end |
6139.78034375 |
transcript.pyannote[667].speaker |
SPEAKER_14 |
transcript.pyannote[667].start |
6141.18096875 |
transcript.pyannote[667].end |
6142.07534375 |
transcript.pyannote[668].speaker |
SPEAKER_14 |
transcript.pyannote[668].start |
6142.41284375 |
transcript.pyannote[668].end |
6143.07096875 |
transcript.pyannote[669].speaker |
SPEAKER_27 |
transcript.pyannote[669].start |
6143.07096875 |
transcript.pyannote[669].end |
6143.18909375 |
transcript.pyannote[670].speaker |
SPEAKER_14 |
transcript.pyannote[670].start |
6143.18909375 |
transcript.pyannote[670].end |
6143.23971875 |
transcript.pyannote[671].speaker |
SPEAKER_27 |
transcript.pyannote[671].start |
6143.23971875 |
transcript.pyannote[671].end |
6143.29034375 |
transcript.pyannote[672].speaker |
SPEAKER_14 |
transcript.pyannote[672].start |
6143.29034375 |
transcript.pyannote[672].end |
6146.05784375 |
transcript.pyannote[673].speaker |
SPEAKER_14 |
transcript.pyannote[673].start |
6146.76659375 |
transcript.pyannote[673].end |
6148.06596875 |
transcript.pyannote[674].speaker |
SPEAKER_14 |
transcript.pyannote[674].start |
6148.38659375 |
transcript.pyannote[674].end |
6151.08659375 |
transcript.pyannote[675].speaker |
SPEAKER_27 |
transcript.pyannote[675].start |
6148.42034375 |
transcript.pyannote[675].end |
6152.72346875 |
transcript.pyannote[676].speaker |
SPEAKER_14 |
transcript.pyannote[676].start |
6152.36909375 |
transcript.pyannote[676].end |
6153.97221875 |
transcript.pyannote[677].speaker |
SPEAKER_27 |
transcript.pyannote[677].start |
6153.97221875 |
transcript.pyannote[677].end |
6154.02284375 |
transcript.pyannote[678].speaker |
SPEAKER_14 |
transcript.pyannote[678].start |
6154.02284375 |
transcript.pyannote[678].end |
6160.75596875 |
transcript.pyannote[679].speaker |
SPEAKER_14 |
transcript.pyannote[679].start |
6161.44784375 |
transcript.pyannote[679].end |
6162.57846875 |
transcript.pyannote[680].speaker |
SPEAKER_14 |
transcript.pyannote[680].start |
6163.52346875 |
transcript.pyannote[680].end |
6164.19846875 |
transcript.pyannote[681].speaker |
SPEAKER_14 |
transcript.pyannote[681].start |
6164.72159375 |
transcript.pyannote[681].end |
6165.51471875 |
transcript.pyannote[682].speaker |
SPEAKER_14 |
transcript.pyannote[682].start |
6165.78471875 |
transcript.pyannote[682].end |
6166.69596875 |
transcript.pyannote[683].speaker |
SPEAKER_14 |
transcript.pyannote[683].start |
6167.42159375 |
transcript.pyannote[683].end |
6167.74221875 |
transcript.pyannote[684].speaker |
SPEAKER_14 |
transcript.pyannote[684].start |
6167.94471875 |
transcript.pyannote[684].end |
6169.44659375 |
transcript.pyannote[685].speaker |
SPEAKER_14 |
transcript.pyannote[685].start |
6169.59846875 |
transcript.pyannote[685].end |
6170.96534375 |
transcript.pyannote[686].speaker |
SPEAKER_14 |
transcript.pyannote[686].start |
6171.04971875 |
transcript.pyannote[686].end |
6171.06659375 |
transcript.pyannote[687].speaker |
SPEAKER_27 |
transcript.pyannote[687].start |
6171.06659375 |
transcript.pyannote[687].end |
6171.97784375 |
transcript.pyannote[688].speaker |
SPEAKER_14 |
transcript.pyannote[688].start |
6172.01159375 |
transcript.pyannote[688].end |
6172.28159375 |
transcript.pyannote[689].speaker |
SPEAKER_14 |
transcript.pyannote[689].start |
6173.12534375 |
transcript.pyannote[689].end |
6173.81721875 |
transcript.pyannote[690].speaker |
SPEAKER_15 |
transcript.pyannote[690].start |
6178.66034375 |
transcript.pyannote[690].end |
6181.76534375 |
transcript.pyannote[691].speaker |
SPEAKER_21 |
transcript.pyannote[691].start |
6196.88534375 |
transcript.pyannote[691].end |
6197.77971875 |
transcript.pyannote[692].speaker |
SPEAKER_21 |
transcript.pyannote[692].start |
6198.25221875 |
transcript.pyannote[692].end |
6199.97346875 |
transcript.pyannote[693].speaker |
SPEAKER_21 |
transcript.pyannote[693].start |
6200.19284375 |
transcript.pyannote[693].end |
6200.78346875 |
transcript.pyannote[694].speaker |
SPEAKER_06 |
transcript.pyannote[694].start |
6201.74534375 |
transcript.pyannote[694].end |
6203.36534375 |
transcript.pyannote[695].speaker |
SPEAKER_21 |
transcript.pyannote[695].start |
6209.42346875 |
transcript.pyannote[695].end |
6210.11534375 |
transcript.pyannote[696].speaker |
SPEAKER_22 |
transcript.pyannote[696].start |
6214.89096875 |
transcript.pyannote[696].end |
6217.72596875 |
transcript.pyannote[697].speaker |
SPEAKER_22 |
transcript.pyannote[697].start |
6217.96221875 |
transcript.pyannote[697].end |
6219.66659375 |
transcript.pyannote[698].speaker |
SPEAKER_22 |
transcript.pyannote[698].start |
6220.05471875 |
transcript.pyannote[698].end |
6222.31596875 |
transcript.pyannote[699].speaker |
SPEAKER_22 |
transcript.pyannote[699].start |
6222.75471875 |
transcript.pyannote[699].end |
6224.89784375 |
transcript.pyannote[700].speaker |
SPEAKER_22 |
transcript.pyannote[700].start |
6224.96534375 |
transcript.pyannote[700].end |
6225.87659375 |
transcript.pyannote[701].speaker |
SPEAKER_22 |
transcript.pyannote[701].start |
6226.51784375 |
transcript.pyannote[701].end |
6229.58909375 |
transcript.pyannote[702].speaker |
SPEAKER_22 |
transcript.pyannote[702].start |
6230.09534375 |
transcript.pyannote[702].end |
6232.18784375 |
transcript.pyannote[703].speaker |
SPEAKER_22 |
transcript.pyannote[703].start |
6233.13284375 |
transcript.pyannote[703].end |
6234.55034375 |
transcript.pyannote[704].speaker |
SPEAKER_22 |
transcript.pyannote[704].start |
6234.68534375 |
transcript.pyannote[704].end |
6236.96346875 |
transcript.pyannote[705].speaker |
SPEAKER_22 |
transcript.pyannote[705].start |
6237.84096875 |
transcript.pyannote[705].end |
6241.43534375 |
transcript.pyannote[706].speaker |
SPEAKER_22 |
transcript.pyannote[706].start |
6242.11034375 |
transcript.pyannote[706].end |
6244.70909375 |
transcript.pyannote[707].speaker |
SPEAKER_22 |
transcript.pyannote[707].start |
6245.89034375 |
transcript.pyannote[707].end |
6250.53096875 |
transcript.pyannote[708].speaker |
SPEAKER_22 |
transcript.pyannote[708].start |
6251.08784375 |
transcript.pyannote[708].end |
6252.50534375 |
transcript.pyannote[709].speaker |
SPEAKER_22 |
transcript.pyannote[709].start |
6252.72471875 |
transcript.pyannote[709].end |
6254.41221875 |
transcript.pyannote[710].speaker |
SPEAKER_22 |
transcript.pyannote[710].start |
6255.40784375 |
transcript.pyannote[710].end |
6256.84221875 |
transcript.pyannote[711].speaker |
SPEAKER_22 |
transcript.pyannote[711].start |
6258.41159375 |
transcript.pyannote[711].end |
6260.55471875 |
transcript.pyannote[712].speaker |
SPEAKER_22 |
transcript.pyannote[712].start |
6260.94284375 |
transcript.pyannote[712].end |
6261.55034375 |
transcript.pyannote[713].speaker |
SPEAKER_22 |
transcript.pyannote[713].start |
6262.88346875 |
transcript.pyannote[713].end |
6266.69721875 |
transcript.pyannote[714].speaker |
SPEAKER_22 |
transcript.pyannote[714].start |
6267.10221875 |
transcript.pyannote[714].end |
6268.45221875 |
transcript.pyannote[715].speaker |
SPEAKER_22 |
transcript.pyannote[715].start |
6269.00909375 |
transcript.pyannote[715].end |
6270.19034375 |
transcript.pyannote[716].speaker |
SPEAKER_22 |
transcript.pyannote[716].start |
6270.44346875 |
transcript.pyannote[716].end |
6273.90284375 |
transcript.pyannote[717].speaker |
SPEAKER_22 |
transcript.pyannote[717].start |
6274.18971875 |
transcript.pyannote[717].end |
6277.04159375 |
transcript.pyannote[718].speaker |
SPEAKER_22 |
transcript.pyannote[718].start |
6277.58159375 |
transcript.pyannote[718].end |
6278.35784375 |
transcript.pyannote[719].speaker |
SPEAKER_22 |
transcript.pyannote[719].start |
6279.16784375 |
transcript.pyannote[719].end |
6283.38659375 |
transcript.pyannote[720].speaker |
SPEAKER_22 |
transcript.pyannote[720].start |
6283.90971875 |
transcript.pyannote[720].end |
6284.75346875 |
transcript.pyannote[721].speaker |
SPEAKER_22 |
transcript.pyannote[721].start |
6285.24284375 |
transcript.pyannote[721].end |
6286.52534375 |
transcript.pyannote[722].speaker |
SPEAKER_22 |
transcript.pyannote[722].start |
6287.26784375 |
transcript.pyannote[722].end |
6291.35159375 |
transcript.pyannote[723].speaker |
SPEAKER_22 |
transcript.pyannote[723].start |
6291.79034375 |
transcript.pyannote[723].end |
6293.41034375 |
transcript.pyannote[724].speaker |
SPEAKER_22 |
transcript.pyannote[724].start |
6293.86596875 |
transcript.pyannote[724].end |
6294.94596875 |
transcript.pyannote[725].speaker |
SPEAKER_22 |
transcript.pyannote[725].start |
6295.45221875 |
transcript.pyannote[725].end |
6299.29971875 |
transcript.pyannote[726].speaker |
SPEAKER_22 |
transcript.pyannote[726].start |
6299.75534375 |
transcript.pyannote[726].end |
6301.76346875 |
transcript.pyannote[727].speaker |
SPEAKER_22 |
transcript.pyannote[727].start |
6302.47221875 |
transcript.pyannote[727].end |
6303.97409375 |
transcript.pyannote[728].speaker |
SPEAKER_22 |
transcript.pyannote[728].start |
6304.86846875 |
transcript.pyannote[728].end |
6305.25659375 |
transcript.pyannote[729].speaker |
SPEAKER_22 |
transcript.pyannote[729].start |
6305.69534375 |
transcript.pyannote[729].end |
6306.48846875 |
transcript.pyannote[730].speaker |
SPEAKER_22 |
transcript.pyannote[730].start |
6306.75846875 |
transcript.pyannote[730].end |
6311.58471875 |
transcript.pyannote[731].speaker |
SPEAKER_22 |
transcript.pyannote[731].start |
6311.73659375 |
transcript.pyannote[731].end |
6313.03596875 |
transcript.pyannote[732].speaker |
SPEAKER_22 |
transcript.pyannote[732].start |
6313.20471875 |
transcript.pyannote[732].end |
6315.39846875 |
transcript.pyannote[733].speaker |
SPEAKER_22 |
transcript.pyannote[733].start |
6315.44909375 |
transcript.pyannote[733].end |
6316.79909375 |
transcript.pyannote[734].speaker |
SPEAKER_22 |
transcript.pyannote[734].start |
6317.55846875 |
transcript.pyannote[734].end |
6319.61721875 |
transcript.pyannote[735].speaker |
SPEAKER_22 |
transcript.pyannote[735].start |
6321.00096875 |
transcript.pyannote[735].end |
6323.39721875 |
transcript.pyannote[736].speaker |
SPEAKER_22 |
transcript.pyannote[736].start |
6323.86971875 |
transcript.pyannote[736].end |
6327.53159375 |
transcript.pyannote[737].speaker |
SPEAKER_22 |
transcript.pyannote[737].start |
6328.32471875 |
transcript.pyannote[737].end |
6330.75471875 |
transcript.pyannote[738].speaker |
SPEAKER_22 |
transcript.pyannote[738].start |
6331.51409375 |
transcript.pyannote[738].end |
6332.37471875 |
transcript.pyannote[739].speaker |
SPEAKER_22 |
transcript.pyannote[739].start |
6333.11721875 |
transcript.pyannote[739].end |
6334.01159375 |
transcript.pyannote[740].speaker |
SPEAKER_22 |
transcript.pyannote[740].start |
6334.33221875 |
transcript.pyannote[740].end |
6336.39096875 |
transcript.pyannote[741].speaker |
SPEAKER_22 |
transcript.pyannote[741].start |
6336.94784375 |
transcript.pyannote[741].end |
6338.48346875 |
transcript.pyannote[742].speaker |
SPEAKER_22 |
transcript.pyannote[742].start |
6339.37784375 |
transcript.pyannote[742].end |
6339.96846875 |
transcript.pyannote[743].speaker |
SPEAKER_22 |
transcript.pyannote[743].start |
6341.01471875 |
transcript.pyannote[743].end |
6344.10284375 |
transcript.pyannote[744].speaker |
SPEAKER_22 |
transcript.pyannote[744].start |
6344.72721875 |
transcript.pyannote[744].end |
6345.50346875 |
transcript.pyannote[745].speaker |
SPEAKER_22 |
transcript.pyannote[745].start |
6346.09409375 |
transcript.pyannote[745].end |
6347.91659375 |
transcript.pyannote[746].speaker |
SPEAKER_22 |
transcript.pyannote[746].start |
6348.22034375 |
transcript.pyannote[746].end |
6349.14846875 |
transcript.pyannote[747].speaker |
SPEAKER_22 |
transcript.pyannote[747].start |
6349.63784375 |
transcript.pyannote[747].end |
6351.24096875 |
transcript.pyannote[748].speaker |
SPEAKER_22 |
transcript.pyannote[748].start |
6352.06784375 |
transcript.pyannote[748].end |
6353.14784375 |
transcript.pyannote[749].speaker |
SPEAKER_22 |
transcript.pyannote[749].start |
6353.92409375 |
transcript.pyannote[749].end |
6356.38784375 |
transcript.pyannote[750].speaker |
SPEAKER_22 |
transcript.pyannote[750].start |
6356.55659375 |
transcript.pyannote[750].end |
6356.96159375 |
transcript.pyannote[751].speaker |
SPEAKER_22 |
transcript.pyannote[751].start |
6357.80534375 |
transcript.pyannote[751].end |
6357.97409375 |
transcript.pyannote[752].speaker |
SPEAKER_27 |
transcript.pyannote[752].start |
6357.97409375 |
transcript.pyannote[752].end |
6378.83159375 |
transcript.pyannote[753].speaker |
SPEAKER_27 |
transcript.pyannote[753].start |
6379.13534375 |
transcript.pyannote[753].end |
6380.72159375 |
transcript.pyannote[754].speaker |
SPEAKER_27 |
transcript.pyannote[754].start |
6381.04221875 |
transcript.pyannote[754].end |
6396.80346875 |
transcript.pyannote[755].speaker |
SPEAKER_27 |
transcript.pyannote[755].start |
6396.85409375 |
transcript.pyannote[755].end |
6401.61284375 |
transcript.pyannote[756].speaker |
SPEAKER_27 |
transcript.pyannote[756].start |
6401.83221875 |
transcript.pyannote[756].end |
6405.03846875 |
transcript.pyannote[757].speaker |
SPEAKER_22 |
transcript.pyannote[757].start |
6405.03846875 |
transcript.pyannote[757].end |
6406.77659375 |
transcript.pyannote[758].speaker |
SPEAKER_22 |
transcript.pyannote[758].start |
6406.82721875 |
transcript.pyannote[758].end |
6410.06721875 |
transcript.pyannote[759].speaker |
SPEAKER_22 |
transcript.pyannote[759].start |
6410.37096875 |
transcript.pyannote[759].end |
6412.75034375 |
transcript.pyannote[760].speaker |
SPEAKER_22 |
transcript.pyannote[760].start |
6413.13846875 |
transcript.pyannote[760].end |
6415.19721875 |
transcript.pyannote[761].speaker |
SPEAKER_22 |
transcript.pyannote[761].start |
6416.12534375 |
transcript.pyannote[761].end |
6417.44159375 |
transcript.pyannote[762].speaker |
SPEAKER_22 |
transcript.pyannote[762].start |
6417.77909375 |
transcript.pyannote[762].end |
6418.28534375 |
transcript.pyannote[763].speaker |
SPEAKER_22 |
transcript.pyannote[763].start |
6419.46659375 |
transcript.pyannote[763].end |
6420.85034375 |
transcript.pyannote[764].speaker |
SPEAKER_22 |
transcript.pyannote[764].start |
6421.12034375 |
transcript.pyannote[764].end |
6426.03096875 |
transcript.pyannote[765].speaker |
SPEAKER_22 |
transcript.pyannote[765].start |
6426.77346875 |
transcript.pyannote[765].end |
6428.29221875 |
transcript.pyannote[766].speaker |
SPEAKER_22 |
transcript.pyannote[766].start |
6429.28784375 |
transcript.pyannote[766].end |
6430.11471875 |
transcript.pyannote[767].speaker |
SPEAKER_22 |
transcript.pyannote[767].start |
6430.84034375 |
transcript.pyannote[767].end |
6432.00471875 |
transcript.pyannote[768].speaker |
SPEAKER_22 |
transcript.pyannote[768].start |
6432.89909375 |
transcript.pyannote[768].end |
6434.01284375 |
transcript.pyannote[769].speaker |
SPEAKER_22 |
transcript.pyannote[769].start |
6436.15596875 |
transcript.pyannote[769].end |
6436.62846875 |
transcript.pyannote[770].speaker |
SPEAKER_22 |
transcript.pyannote[770].start |
6437.67471875 |
transcript.pyannote[770].end |
6437.94471875 |
transcript.pyannote[771].speaker |
SPEAKER_22 |
transcript.pyannote[771].start |
6438.41721875 |
transcript.pyannote[771].end |
6439.15971875 |
transcript.pyannote[772].speaker |
SPEAKER_22 |
transcript.pyannote[772].start |
6440.35784375 |
transcript.pyannote[772].end |
6442.65284375 |
transcript.pyannote[773].speaker |
SPEAKER_22 |
transcript.pyannote[773].start |
6443.96909375 |
transcript.pyannote[773].end |
6444.82971875 |
transcript.pyannote[774].speaker |
SPEAKER_22 |
transcript.pyannote[774].start |
6445.21784375 |
transcript.pyannote[774].end |
6446.38221875 |
transcript.pyannote[775].speaker |
SPEAKER_22 |
transcript.pyannote[775].start |
6446.65221875 |
transcript.pyannote[775].end |
6449.82471875 |
transcript.pyannote[776].speaker |
SPEAKER_22 |
transcript.pyannote[776].start |
6450.80346875 |
transcript.pyannote[776].end |
6452.71034375 |
transcript.pyannote[777].speaker |
SPEAKER_22 |
transcript.pyannote[777].start |
6453.18284375 |
transcript.pyannote[777].end |
6455.39346875 |
transcript.pyannote[778].speaker |
SPEAKER_22 |
transcript.pyannote[778].start |
6455.84909375 |
transcript.pyannote[778].end |
6457.18221875 |
transcript.pyannote[779].speaker |
SPEAKER_22 |
transcript.pyannote[779].start |
6458.05971875 |
transcript.pyannote[779].end |
6462.80159375 |
transcript.pyannote[780].speaker |
SPEAKER_22 |
transcript.pyannote[780].start |
6463.18971875 |
transcript.pyannote[780].end |
6463.79721875 |
transcript.pyannote[781].speaker |
SPEAKER_22 |
transcript.pyannote[781].start |
6464.35409375 |
transcript.pyannote[781].end |
6467.03721875 |
transcript.pyannote[782].speaker |
SPEAKER_22 |
transcript.pyannote[782].start |
6467.18909375 |
transcript.pyannote[782].end |
6469.38284375 |
transcript.pyannote[783].speaker |
SPEAKER_22 |
transcript.pyannote[783].start |
6469.60221875 |
transcript.pyannote[783].end |
6472.03221875 |
transcript.pyannote[784].speaker |
SPEAKER_28 |
transcript.pyannote[784].start |
6472.35284375 |
transcript.pyannote[784].end |
6472.53846875 |
transcript.pyannote[785].speaker |
SPEAKER_22 |
transcript.pyannote[785].start |
6472.94346875 |
transcript.pyannote[785].end |
6473.29784375 |
transcript.pyannote[786].speaker |
SPEAKER_22 |
transcript.pyannote[786].start |
6473.73659375 |
transcript.pyannote[786].end |
6475.96409375 |
transcript.pyannote[787].speaker |
SPEAKER_22 |
transcript.pyannote[787].start |
6476.50409375 |
transcript.pyannote[787].end |
6488.04659375 |
transcript.pyannote[788].speaker |
SPEAKER_22 |
transcript.pyannote[788].start |
6488.48534375 |
transcript.pyannote[788].end |
6489.36284375 |
transcript.pyannote[789].speaker |
SPEAKER_22 |
transcript.pyannote[789].start |
6490.05471875 |
transcript.pyannote[789].end |
6490.44284375 |
transcript.pyannote[790].speaker |
SPEAKER_22 |
transcript.pyannote[790].start |
6490.89846875 |
transcript.pyannote[790].end |
6492.80534375 |
transcript.pyannote[791].speaker |
SPEAKER_00 |
transcript.pyannote[791].start |
6490.96596875 |
transcript.pyannote[791].end |
6490.99971875 |
transcript.pyannote[792].speaker |
SPEAKER_21 |
transcript.pyannote[792].start |
6490.99971875 |
transcript.pyannote[792].end |
6491.08409375 |
transcript.pyannote[793].speaker |
SPEAKER_20 |
transcript.pyannote[793].start |
6491.08409375 |
transcript.pyannote[793].end |
6491.11784375 |
transcript.pyannote[794].speaker |
SPEAKER_28 |
transcript.pyannote[794].start |
6491.11784375 |
transcript.pyannote[794].end |
6491.72534375 |
transcript.pyannote[795].speaker |
SPEAKER_21 |
transcript.pyannote[795].start |
6491.72534375 |
transcript.pyannote[795].end |
6491.74221875 |
transcript.pyannote[796].speaker |
SPEAKER_28 |
transcript.pyannote[796].start |
6491.74221875 |
transcript.pyannote[796].end |
6491.75909375 |
transcript.pyannote[797].speaker |
SPEAKER_22 |
transcript.pyannote[797].start |
6492.94034375 |
transcript.pyannote[797].end |
6494.17221875 |
transcript.pyannote[798].speaker |
SPEAKER_22 |
transcript.pyannote[798].start |
6494.83034375 |
transcript.pyannote[798].end |
6495.20159375 |
transcript.pyannote[799].speaker |
SPEAKER_28 |
transcript.pyannote[799].start |
6496.61909375 |
transcript.pyannote[799].end |
6496.85534375 |
transcript.pyannote[800].speaker |
SPEAKER_22 |
transcript.pyannote[800].start |
6496.85534375 |
transcript.pyannote[800].end |
6499.33596875 |
transcript.pyannote[801].speaker |
SPEAKER_22 |
transcript.pyannote[801].start |
6499.84221875 |
transcript.pyannote[801].end |
6501.27659375 |
transcript.pyannote[802].speaker |
SPEAKER_28 |
transcript.pyannote[802].start |
6501.34409375 |
transcript.pyannote[802].end |
6501.69846875 |
transcript.pyannote[803].speaker |
SPEAKER_22 |
transcript.pyannote[803].start |
6501.58034375 |
transcript.pyannote[803].end |
6503.18346875 |
transcript.pyannote[804].speaker |
SPEAKER_22 |
transcript.pyannote[804].start |
6503.31846875 |
transcript.pyannote[804].end |
6505.52909375 |
transcript.pyannote[805].speaker |
SPEAKER_22 |
transcript.pyannote[805].start |
6505.91721875 |
transcript.pyannote[805].end |
6506.40659375 |
transcript.pyannote[806].speaker |
SPEAKER_22 |
transcript.pyannote[806].start |
6507.26721875 |
transcript.pyannote[806].end |
6507.99284375 |
transcript.pyannote[807].speaker |
SPEAKER_22 |
transcript.pyannote[807].start |
6508.34721875 |
transcript.pyannote[807].end |
6509.71409375 |
transcript.pyannote[808].speaker |
SPEAKER_22 |
transcript.pyannote[808].start |
6510.22034375 |
transcript.pyannote[808].end |
6513.79784375 |
transcript.pyannote[809].speaker |
SPEAKER_22 |
transcript.pyannote[809].start |
6514.30409375 |
transcript.pyannote[809].end |
6515.18159375 |
transcript.pyannote[810].speaker |
SPEAKER_22 |
transcript.pyannote[810].start |
6515.46846875 |
transcript.pyannote[810].end |
6518.18534375 |
transcript.pyannote[811].speaker |
SPEAKER_22 |
transcript.pyannote[811].start |
6518.59034375 |
transcript.pyannote[811].end |
6520.17659375 |
transcript.pyannote[812].speaker |
SPEAKER_22 |
transcript.pyannote[812].start |
6520.66596875 |
transcript.pyannote[812].end |
6521.61096875 |
transcript.pyannote[813].speaker |
SPEAKER_22 |
transcript.pyannote[813].start |
6522.48846875 |
transcript.pyannote[813].end |
6523.33221875 |
transcript.pyannote[814].speaker |
SPEAKER_22 |
transcript.pyannote[814].start |
6523.92284375 |
transcript.pyannote[814].end |
6525.86346875 |
transcript.pyannote[815].speaker |
SPEAKER_22 |
transcript.pyannote[815].start |
6526.31909375 |
transcript.pyannote[815].end |
6528.86721875 |
transcript.pyannote[816].speaker |
SPEAKER_22 |
transcript.pyannote[816].start |
6529.79534375 |
transcript.pyannote[816].end |
6530.41971875 |
transcript.pyannote[817].speaker |
SPEAKER_22 |
transcript.pyannote[817].start |
6530.82471875 |
transcript.pyannote[817].end |
6533.60909375 |
transcript.pyannote[818].speaker |
SPEAKER_22 |
transcript.pyannote[818].start |
6534.04784375 |
transcript.pyannote[818].end |
6534.63846875 |
transcript.pyannote[819].speaker |
SPEAKER_22 |
transcript.pyannote[819].start |
6535.58346875 |
transcript.pyannote[819].end |
6536.02221875 |
transcript.pyannote[820].speaker |
SPEAKER_22 |
transcript.pyannote[820].start |
6536.84909375 |
transcript.pyannote[820].end |
6537.60846875 |
transcript.pyannote[821].speaker |
SPEAKER_22 |
transcript.pyannote[821].start |
6537.91221875 |
transcript.pyannote[821].end |
6539.19471875 |
transcript.pyannote[822].speaker |
SPEAKER_22 |
transcript.pyannote[822].start |
6540.71346875 |
transcript.pyannote[822].end |
6541.82721875 |
transcript.pyannote[823].speaker |
SPEAKER_22 |
transcript.pyannote[823].start |
6542.92409375 |
transcript.pyannote[823].end |
6543.44721875 |
transcript.pyannote[824].speaker |
SPEAKER_22 |
transcript.pyannote[824].start |
6543.88596875 |
transcript.pyannote[824].end |
6544.54409375 |
transcript.pyannote[825].speaker |
SPEAKER_22 |
transcript.pyannote[825].start |
6544.83096875 |
transcript.pyannote[825].end |
6548.22284375 |
transcript.pyannote[826].speaker |
SPEAKER_22 |
transcript.pyannote[826].start |
6548.57721875 |
transcript.pyannote[826].end |
6549.55596875 |
transcript.pyannote[827].speaker |
SPEAKER_22 |
transcript.pyannote[827].start |
6549.72471875 |
transcript.pyannote[827].end |
6555.73221875 |
transcript.pyannote[828].speaker |
SPEAKER_22 |
transcript.pyannote[828].start |
6556.57596875 |
transcript.pyannote[828].end |
6559.59659375 |
transcript.pyannote[829].speaker |
SPEAKER_22 |
transcript.pyannote[829].start |
6559.79909375 |
transcript.pyannote[829].end |
6561.60471875 |
transcript.pyannote[830].speaker |
SPEAKER_22 |
transcript.pyannote[830].start |
6563.14034375 |
transcript.pyannote[830].end |
6564.08534375 |
transcript.pyannote[831].speaker |
SPEAKER_22 |
transcript.pyannote[831].start |
6564.52409375 |
transcript.pyannote[831].end |
6566.81909375 |
transcript.pyannote[832].speaker |
SPEAKER_22 |
transcript.pyannote[832].start |
6567.71346875 |
transcript.pyannote[832].end |
6569.82284375 |
transcript.pyannote[833].speaker |
SPEAKER_22 |
transcript.pyannote[833].start |
6570.61596875 |
transcript.pyannote[833].end |
6571.84784375 |
transcript.pyannote[834].speaker |
SPEAKER_22 |
transcript.pyannote[834].start |
6572.28659375 |
transcript.pyannote[834].end |
6573.36659375 |
transcript.pyannote[835].speaker |
SPEAKER_22 |
transcript.pyannote[835].start |
6574.07534375 |
transcript.pyannote[835].end |
6577.50096875 |
transcript.pyannote[836].speaker |
SPEAKER_22 |
transcript.pyannote[836].start |
6577.75409375 |
transcript.pyannote[836].end |
6580.21784375 |
transcript.pyannote[837].speaker |
SPEAKER_22 |
transcript.pyannote[837].start |
6580.80846875 |
transcript.pyannote[837].end |
6583.35659375 |
transcript.pyannote[838].speaker |
SPEAKER_22 |
transcript.pyannote[838].start |
6583.76159375 |
transcript.pyannote[838].end |
6585.97221875 |
transcript.pyannote[839].speaker |
SPEAKER_27 |
transcript.pyannote[839].start |
6585.97221875 |
transcript.pyannote[839].end |
6588.68909375 |
transcript.pyannote[840].speaker |
SPEAKER_22 |
transcript.pyannote[840].start |
6589.73534375 |
transcript.pyannote[840].end |
6590.08971875 |
transcript.pyannote[841].speaker |
SPEAKER_27 |
transcript.pyannote[841].start |
6590.64659375 |
transcript.pyannote[841].end |
6591.76034375 |
transcript.pyannote[842].speaker |
SPEAKER_22 |
transcript.pyannote[842].start |
6591.76034375 |
transcript.pyannote[842].end |
6591.84471875 |
transcript.pyannote[843].speaker |
SPEAKER_27 |
transcript.pyannote[843].start |
6591.84471875 |
transcript.pyannote[843].end |
6592.03034375 |
transcript.pyannote[844].speaker |
SPEAKER_22 |
transcript.pyannote[844].start |
6592.03034375 |
transcript.pyannote[844].end |
6595.40534375 |
transcript.pyannote[845].speaker |
SPEAKER_22 |
transcript.pyannote[845].start |
6595.75971875 |
transcript.pyannote[845].end |
6617.30909375 |
transcript.pyannote[846].speaker |
SPEAKER_27 |
transcript.pyannote[846].start |
6595.82721875 |
transcript.pyannote[846].end |
6596.33346875 |
transcript.pyannote[847].speaker |
SPEAKER_00 |
transcript.pyannote[847].start |
6597.63284375 |
transcript.pyannote[847].end |
6597.97034375 |
transcript.pyannote[848].speaker |
SPEAKER_00 |
transcript.pyannote[848].start |
6600.53534375 |
transcript.pyannote[848].end |
6600.56909375 |
transcript.pyannote[849].speaker |
SPEAKER_27 |
transcript.pyannote[849].start |
6600.56909375 |
transcript.pyannote[849].end |
6601.12596875 |
transcript.pyannote[850].speaker |
SPEAKER_27 |
transcript.pyannote[850].start |
6603.52221875 |
transcript.pyannote[850].end |
6604.85534375 |
transcript.pyannote[851].speaker |
SPEAKER_27 |
transcript.pyannote[851].start |
6610.45784375 |
transcript.pyannote[851].end |
6612.36471875 |
transcript.pyannote[852].speaker |
SPEAKER_22 |
transcript.pyannote[852].start |
6618.45659375 |
transcript.pyannote[852].end |
6618.97971875 |
transcript.pyannote[853].speaker |
SPEAKER_22 |
transcript.pyannote[853].start |
6619.41846875 |
transcript.pyannote[853].end |
6622.35471875 |
transcript.pyannote[854].speaker |
SPEAKER_22 |
transcript.pyannote[854].start |
6622.92846875 |
transcript.pyannote[854].end |
6624.98721875 |
transcript.pyannote[855].speaker |
SPEAKER_22 |
transcript.pyannote[855].start |
6625.42596875 |
transcript.pyannote[855].end |
6626.32034375 |
transcript.pyannote[856].speaker |
SPEAKER_22 |
transcript.pyannote[856].start |
6627.21471875 |
transcript.pyannote[856].end |
6627.75471875 |
transcript.pyannote[857].speaker |
SPEAKER_22 |
transcript.pyannote[857].start |
6628.12596875 |
transcript.pyannote[857].end |
6631.23096875 |
transcript.pyannote[858].speaker |
SPEAKER_22 |
transcript.pyannote[858].start |
6631.68659375 |
transcript.pyannote[858].end |
6633.99846875 |
transcript.pyannote[859].speaker |
SPEAKER_22 |
transcript.pyannote[859].start |
6634.20096875 |
transcript.pyannote[859].end |
6635.26409375 |
transcript.pyannote[860].speaker |
SPEAKER_22 |
transcript.pyannote[860].start |
6635.87159375 |
transcript.pyannote[860].end |
6636.52971875 |
transcript.pyannote[861].speaker |
SPEAKER_22 |
transcript.pyannote[861].start |
6637.17096875 |
transcript.pyannote[861].end |
6638.35221875 |
transcript.pyannote[862].speaker |
SPEAKER_22 |
transcript.pyannote[862].start |
6638.74034375 |
transcript.pyannote[862].end |
6639.85409375 |
transcript.pyannote[863].speaker |
SPEAKER_22 |
transcript.pyannote[863].start |
6640.34346875 |
transcript.pyannote[863].end |
6642.52034375 |
transcript.pyannote[864].speaker |
SPEAKER_22 |
transcript.pyannote[864].start |
6643.26284375 |
transcript.pyannote[864].end |
6645.27096875 |
transcript.pyannote[865].speaker |
SPEAKER_22 |
transcript.pyannote[865].start |
6646.85721875 |
transcript.pyannote[865].end |
6647.81909375 |
transcript.pyannote[866].speaker |
SPEAKER_22 |
transcript.pyannote[866].start |
6648.00471875 |
transcript.pyannote[866].end |
6649.37159375 |
transcript.pyannote[867].speaker |
SPEAKER_22 |
transcript.pyannote[867].start |
6649.86096875 |
transcript.pyannote[867].end |
6650.78909375 |
transcript.pyannote[868].speaker |
SPEAKER_22 |
transcript.pyannote[868].start |
6651.39659375 |
transcript.pyannote[868].end |
6653.53971875 |
transcript.pyannote[869].speaker |
SPEAKER_22 |
transcript.pyannote[869].start |
6654.11346875 |
transcript.pyannote[869].end |
6656.22284375 |
transcript.pyannote[870].speaker |
SPEAKER_22 |
transcript.pyannote[870].start |
6657.70784375 |
transcript.pyannote[870].end |
6658.28159375 |
transcript.pyannote[871].speaker |
SPEAKER_22 |
transcript.pyannote[871].start |
6658.80471875 |
transcript.pyannote[871].end |
6661.67346875 |
transcript.pyannote[872].speaker |
SPEAKER_22 |
transcript.pyannote[872].start |
6662.39909375 |
transcript.pyannote[872].end |
6662.93909375 |
transcript.pyannote[873].speaker |
SPEAKER_22 |
transcript.pyannote[873].start |
6664.67721875 |
transcript.pyannote[873].end |
6665.92596875 |
transcript.pyannote[874].speaker |
SPEAKER_22 |
transcript.pyannote[874].start |
6666.48284375 |
transcript.pyannote[874].end |
6668.76096875 |
transcript.pyannote[875].speaker |
SPEAKER_22 |
transcript.pyannote[875].start |
6669.58784375 |
transcript.pyannote[875].end |
6672.40596875 |
transcript.pyannote[876].speaker |
SPEAKER_22 |
transcript.pyannote[876].start |
6673.14846875 |
transcript.pyannote[876].end |
6676.03409375 |
transcript.pyannote[877].speaker |
SPEAKER_22 |
transcript.pyannote[877].start |
6676.59096875 |
transcript.pyannote[877].end |
6679.08846875 |
transcript.pyannote[878].speaker |
SPEAKER_22 |
transcript.pyannote[878].start |
6679.45971875 |
transcript.pyannote[878].end |
6681.83909375 |
transcript.pyannote[879].speaker |
SPEAKER_22 |
transcript.pyannote[879].start |
6682.71659375 |
transcript.pyannote[879].end |
6688.11659375 |
transcript.pyannote[880].speaker |
SPEAKER_22 |
transcript.pyannote[880].start |
6689.23034375 |
transcript.pyannote[880].end |
6690.56346875 |
transcript.pyannote[881].speaker |
SPEAKER_22 |
transcript.pyannote[881].start |
6690.79971875 |
transcript.pyannote[881].end |
6693.21284375 |
transcript.pyannote[882].speaker |
SPEAKER_22 |
transcript.pyannote[882].start |
6693.63471875 |
transcript.pyannote[882].end |
6698.24159375 |
transcript.pyannote[883].speaker |
SPEAKER_22 |
transcript.pyannote[883].start |
6698.34284375 |
transcript.pyannote[883].end |
6699.79409375 |
transcript.pyannote[884].speaker |
SPEAKER_22 |
transcript.pyannote[884].start |
6702.15659375 |
transcript.pyannote[884].end |
6707.11784375 |
transcript.pyannote[885].speaker |
SPEAKER_27 |
transcript.pyannote[885].start |
6703.10159375 |
transcript.pyannote[885].end |
6703.11846875 |
transcript.pyannote[886].speaker |
SPEAKER_28 |
transcript.pyannote[886].start |
6703.11846875 |
transcript.pyannote[886].end |
6704.43471875 |
transcript.pyannote[887].speaker |
SPEAKER_27 |
transcript.pyannote[887].start |
6704.43471875 |
transcript.pyannote[887].end |
6704.53596875 |
transcript.pyannote[888].speaker |
SPEAKER_22 |
transcript.pyannote[888].start |
6707.35409375 |
transcript.pyannote[888].end |
6709.26096875 |
transcript.pyannote[889].speaker |
SPEAKER_27 |
transcript.pyannote[889].start |
6709.26096875 |
transcript.pyannote[889].end |
6709.69971875 |
transcript.pyannote[890].speaker |
SPEAKER_22 |
transcript.pyannote[890].start |
6709.69971875 |
transcript.pyannote[890].end |
6709.78409375 |
transcript.pyannote[891].speaker |
SPEAKER_22 |
transcript.pyannote[891].start |
6709.85159375 |
transcript.pyannote[891].end |
6710.96534375 |
transcript.pyannote[892].speaker |
SPEAKER_27 |
transcript.pyannote[892].start |
6710.96534375 |
transcript.pyannote[892].end |
6714.23909375 |
transcript.pyannote[893].speaker |
SPEAKER_27 |
transcript.pyannote[893].start |
6714.47534375 |
transcript.pyannote[893].end |
6715.82534375 |
transcript.pyannote[894].speaker |
SPEAKER_27 |
transcript.pyannote[894].start |
6716.12909375 |
transcript.pyannote[894].end |
6717.63096875 |
transcript.pyannote[895].speaker |
SPEAKER_27 |
transcript.pyannote[895].start |
6718.40721875 |
transcript.pyannote[895].end |
6721.25909375 |
transcript.pyannote[896].speaker |
SPEAKER_22 |
transcript.pyannote[896].start |
6719.01471875 |
transcript.pyannote[896].end |
6726.64221875 |
transcript.pyannote[897].speaker |
SPEAKER_22 |
transcript.pyannote[897].start |
6727.14846875 |
transcript.pyannote[897].end |
6731.18159375 |
transcript.pyannote[898].speaker |
SPEAKER_22 |
transcript.pyannote[898].start |
6732.27846875 |
transcript.pyannote[898].end |
6733.59471875 |
transcript.pyannote[899].speaker |
SPEAKER_22 |
transcript.pyannote[899].start |
6733.88159375 |
transcript.pyannote[899].end |
6734.26971875 |
transcript.pyannote[900].speaker |
SPEAKER_22 |
transcript.pyannote[900].start |
6734.79284375 |
transcript.pyannote[900].end |
6736.66596875 |
transcript.pyannote[901].speaker |
SPEAKER_22 |
transcript.pyannote[901].start |
6737.10471875 |
transcript.pyannote[901].end |
6738.11721875 |
transcript.pyannote[902].speaker |
SPEAKER_22 |
transcript.pyannote[902].start |
6738.50534375 |
transcript.pyannote[902].end |
6742.74096875 |
transcript.pyannote[903].speaker |
SPEAKER_27 |
transcript.pyannote[903].start |
6738.64034375 |
transcript.pyannote[903].end |
6739.16346875 |
transcript.pyannote[904].speaker |
SPEAKER_27 |
transcript.pyannote[904].start |
6740.61471875 |
transcript.pyannote[904].end |
6742.25159375 |
transcript.pyannote[905].speaker |
SPEAKER_22 |
transcript.pyannote[905].start |
6743.60159375 |
transcript.pyannote[905].end |
6743.61846875 |
transcript.pyannote[906].speaker |
SPEAKER_27 |
transcript.pyannote[906].start |
6743.61846875 |
transcript.pyannote[906].end |
6743.95596875 |
transcript.pyannote[907].speaker |
SPEAKER_22 |
transcript.pyannote[907].start |
6743.95596875 |
transcript.pyannote[907].end |
6744.44534375 |
transcript.pyannote[908].speaker |
SPEAKER_27 |
transcript.pyannote[908].start |
6744.02346875 |
transcript.pyannote[908].end |
6749.76096875 |
transcript.pyannote[909].speaker |
SPEAKER_22 |
transcript.pyannote[909].start |
6748.78221875 |
transcript.pyannote[909].end |
6751.14471875 |
transcript.pyannote[910].speaker |
SPEAKER_27 |
transcript.pyannote[910].start |
6750.53721875 |
transcript.pyannote[910].end |
6750.72284375 |
transcript.pyannote[911].speaker |
SPEAKER_27 |
transcript.pyannote[911].start |
6751.14471875 |
transcript.pyannote[911].end |
6751.16159375 |
transcript.pyannote[912].speaker |
SPEAKER_22 |
transcript.pyannote[912].start |
6751.16159375 |
transcript.pyannote[912].end |
6751.33034375 |
transcript.pyannote[913].speaker |
SPEAKER_27 |
transcript.pyannote[913].start |
6751.33034375 |
transcript.pyannote[913].end |
6754.80659375 |
transcript.pyannote[914].speaker |
SPEAKER_22 |
transcript.pyannote[914].start |
6751.34721875 |
transcript.pyannote[914].end |
6754.41846875 |
transcript.pyannote[915].speaker |
SPEAKER_22 |
transcript.pyannote[915].start |
6755.24534375 |
transcript.pyannote[915].end |
6764.83034375 |
transcript.pyannote[916].speaker |
SPEAKER_27 |
transcript.pyannote[916].start |
6760.45971875 |
transcript.pyannote[916].end |
6760.78034375 |
transcript.pyannote[917].speaker |
SPEAKER_22 |
transcript.pyannote[917].start |
6765.42096875 |
transcript.pyannote[917].end |
6768.52596875 |
transcript.pyannote[918].speaker |
SPEAKER_27 |
transcript.pyannote[918].start |
6766.66971875 |
transcript.pyannote[918].end |
6767.44596875 |
transcript.pyannote[919].speaker |
SPEAKER_22 |
transcript.pyannote[919].start |
6769.58909375 |
transcript.pyannote[919].end |
6770.44971875 |
transcript.pyannote[920].speaker |
SPEAKER_22 |
transcript.pyannote[920].start |
6771.12471875 |
transcript.pyannote[920].end |
6774.58409375 |
transcript.pyannote[921].speaker |
SPEAKER_22 |
transcript.pyannote[921].start |
6775.51221875 |
transcript.pyannote[921].end |
6775.88346875 |
transcript.pyannote[922].speaker |
SPEAKER_22 |
transcript.pyannote[922].start |
6776.15346875 |
transcript.pyannote[922].end |
6779.27534375 |
transcript.pyannote[923].speaker |
SPEAKER_22 |
transcript.pyannote[923].start |
6779.46096875 |
transcript.pyannote[923].end |
6780.59159375 |
transcript.pyannote[924].speaker |
SPEAKER_22 |
transcript.pyannote[924].start |
6780.97971875 |
transcript.pyannote[924].end |
6781.78971875 |
transcript.pyannote[925].speaker |
SPEAKER_22 |
transcript.pyannote[925].start |
6782.27909375 |
transcript.pyannote[925].end |
6784.21971875 |
transcript.pyannote[926].speaker |
SPEAKER_22 |
transcript.pyannote[926].start |
6784.33784375 |
transcript.pyannote[926].end |
6786.64971875 |
transcript.pyannote[927].speaker |
SPEAKER_22 |
transcript.pyannote[927].start |
6787.07159375 |
transcript.pyannote[927].end |
6788.38784375 |
transcript.pyannote[928].speaker |
SPEAKER_22 |
transcript.pyannote[928].start |
6788.92784375 |
transcript.pyannote[928].end |
6791.57721875 |
transcript.pyannote[929].speaker |
SPEAKER_22 |
transcript.pyannote[929].start |
6792.53909375 |
transcript.pyannote[929].end |
6794.54721875 |
transcript.pyannote[930].speaker |
SPEAKER_22 |
transcript.pyannote[930].start |
6794.69909375 |
transcript.pyannote[930].end |
6795.61034375 |
transcript.pyannote[931].speaker |
SPEAKER_22 |
transcript.pyannote[931].start |
6796.45409375 |
transcript.pyannote[931].end |
6807.25409375 |
transcript.pyannote[932].speaker |
SPEAKER_04 |
transcript.pyannote[932].start |
6803.50784375 |
transcript.pyannote[932].end |
6803.79471875 |
transcript.pyannote[933].speaker |
SPEAKER_04 |
transcript.pyannote[933].start |
6806.49471875 |
transcript.pyannote[933].end |
6807.67596875 |
transcript.pyannote[934].speaker |
SPEAKER_22 |
transcript.pyannote[934].start |
6807.67596875 |
transcript.pyannote[934].end |
6810.03846875 |
transcript.pyannote[935].speaker |
SPEAKER_04 |
transcript.pyannote[935].start |
6807.69284375 |
transcript.pyannote[935].end |
6807.70971875 |
transcript.pyannote[936].speaker |
SPEAKER_22 |
transcript.pyannote[936].start |
6810.64596875 |
transcript.pyannote[936].end |
6818.76284375 |
transcript.pyannote[937].speaker |
SPEAKER_27 |
transcript.pyannote[937].start |
6818.76284375 |
transcript.pyannote[937].end |
6818.93159375 |
transcript.pyannote[938].speaker |
SPEAKER_22 |
transcript.pyannote[938].start |
6818.93159375 |
transcript.pyannote[938].end |
6820.61909375 |
transcript.pyannote[939].speaker |
SPEAKER_15 |
transcript.pyannote[939].start |
6820.53471875 |
transcript.pyannote[939].end |
6821.20971875 |
transcript.pyannote[940].speaker |
SPEAKER_15 |
transcript.pyannote[940].start |
6829.03971875 |
transcript.pyannote[940].end |
6829.63034375 |
transcript.pyannote[941].speaker |
SPEAKER_15 |
transcript.pyannote[941].start |
6829.90034375 |
transcript.pyannote[941].end |
6835.13159375 |
transcript.pyannote[942].speaker |
SPEAKER_15 |
transcript.pyannote[942].start |
6835.35096875 |
transcript.pyannote[942].end |
6839.51909375 |
transcript.pyannote[943].speaker |
SPEAKER_22 |
transcript.pyannote[943].start |
6853.15409375 |
transcript.pyannote[943].end |
6854.36909375 |
transcript.pyannote[944].speaker |
SPEAKER_15 |
transcript.pyannote[944].start |
6860.91659375 |
transcript.pyannote[944].end |
6864.62909375 |
transcript.pyannote[945].speaker |
SPEAKER_15 |
transcript.pyannote[945].start |
6872.54346875 |
transcript.pyannote[945].end |
6873.23534375 |
transcript.pyannote[946].speaker |
SPEAKER_28 |
transcript.pyannote[946].start |
6873.52221875 |
transcript.pyannote[946].end |
6874.04534375 |
transcript.pyannote[947].speaker |
SPEAKER_15 |
transcript.pyannote[947].start |
6873.74159375 |
transcript.pyannote[947].end |
6878.61846875 |
transcript.pyannote[948].speaker |
SPEAKER_15 |
transcript.pyannote[948].start |
6879.05721875 |
transcript.pyannote[948].end |
6881.87534375 |
transcript.pyannote[949].speaker |
SPEAKER_15 |
transcript.pyannote[949].start |
6882.49971875 |
transcript.pyannote[949].end |
6885.70596875 |
transcript.pyannote[950].speaker |
SPEAKER_15 |
transcript.pyannote[950].start |
6886.24596875 |
transcript.pyannote[950].end |
6894.76784375 |
transcript.pyannote[951].speaker |
SPEAKER_15 |
transcript.pyannote[951].start |
6894.78471875 |
transcript.pyannote[951].end |
6894.81846875 |
transcript.pyannote[952].speaker |
SPEAKER_12 |
transcript.pyannote[952].start |
6894.81846875 |
transcript.pyannote[952].end |
6895.18971875 |
transcript.pyannote[953].speaker |
SPEAKER_15 |
transcript.pyannote[953].start |
6895.18971875 |
transcript.pyannote[953].end |
6906.95159375 |
transcript.pyannote[954].speaker |
SPEAKER_15 |
transcript.pyannote[954].start |
6907.44096875 |
transcript.pyannote[954].end |
6911.72721875 |
transcript.pyannote[955].speaker |
SPEAKER_15 |
transcript.pyannote[955].start |
6912.03096875 |
transcript.pyannote[955].end |
6919.91159375 |
transcript.pyannote[956].speaker |
SPEAKER_15 |
transcript.pyannote[956].start |
6920.19846875 |
transcript.pyannote[956].end |
6935.68971875 |
transcript.pyannote[957].speaker |
SPEAKER_15 |
transcript.pyannote[957].start |
6935.84159375 |
transcript.pyannote[957].end |
6936.75284375 |
transcript.pyannote[958].speaker |
SPEAKER_15 |
transcript.pyannote[958].start |
6937.22534375 |
transcript.pyannote[958].end |
6938.77784375 |
transcript.pyannote[959].speaker |
SPEAKER_15 |
transcript.pyannote[959].start |
6938.94659375 |
transcript.pyannote[959].end |
6949.89846875 |
transcript.pyannote[960].speaker |
SPEAKER_15 |
transcript.pyannote[960].start |
6950.67471875 |
transcript.pyannote[960].end |
6951.99096875 |
transcript.pyannote[961].speaker |
SPEAKER_10 |
transcript.pyannote[961].start |
6950.74221875 |
transcript.pyannote[961].end |
6950.82659375 |
transcript.pyannote[962].speaker |
SPEAKER_27 |
transcript.pyannote[962].start |
6950.82659375 |
transcript.pyannote[962].end |
6950.97846875 |
transcript.pyannote[963].speaker |
SPEAKER_10 |
transcript.pyannote[963].start |
6950.97846875 |
transcript.pyannote[963].end |
6951.28221875 |
transcript.pyannote[964].speaker |
SPEAKER_15 |
transcript.pyannote[964].start |
6952.15971875 |
transcript.pyannote[964].end |
6953.96534375 |
transcript.pyannote[965].speaker |
SPEAKER_15 |
transcript.pyannote[965].start |
6954.53909375 |
transcript.pyannote[965].end |
6955.16346875 |
transcript.pyannote[966].speaker |
SPEAKER_27 |
transcript.pyannote[966].start |
6955.83846875 |
transcript.pyannote[966].end |
6959.12909375 |
transcript.pyannote[967].speaker |
SPEAKER_27 |
transcript.pyannote[967].start |
6959.95596875 |
transcript.pyannote[967].end |
6961.35659375 |
transcript.pyannote[968].speaker |
SPEAKER_27 |
transcript.pyannote[968].start |
6961.82909375 |
transcript.pyannote[968].end |
6961.93034375 |
transcript.pyannote[969].speaker |
SPEAKER_15 |
transcript.pyannote[969].start |
6962.60534375 |
transcript.pyannote[969].end |
6967.73534375 |
transcript.pyannote[970].speaker |
SPEAKER_27 |
transcript.pyannote[970].start |
6968.30909375 |
transcript.pyannote[970].end |
6971.44784375 |
transcript.pyannote[971].speaker |
SPEAKER_15 |
transcript.pyannote[971].start |
6971.05971875 |
transcript.pyannote[971].end |
6972.25784375 |
transcript.pyannote[972].speaker |
SPEAKER_27 |
transcript.pyannote[972].start |
6973.06784375 |
transcript.pyannote[972].end |
6973.82721875 |
transcript.pyannote[973].speaker |
SPEAKER_15 |
transcript.pyannote[973].start |
6974.99159375 |
transcript.pyannote[973].end |
6976.74659375 |
transcript.pyannote[974].speaker |
SPEAKER_27 |
transcript.pyannote[974].start |
6976.84784375 |
transcript.pyannote[974].end |
6977.30346875 |
transcript.pyannote[975].speaker |
SPEAKER_15 |
transcript.pyannote[975].start |
6977.53971875 |
transcript.pyannote[975].end |
6978.04596875 |
transcript.pyannote[976].speaker |
SPEAKER_15 |
transcript.pyannote[976].start |
6978.50159375 |
transcript.pyannote[976].end |
6978.92346875 |
transcript.pyannote[977].speaker |
SPEAKER_15 |
transcript.pyannote[977].start |
6979.22721875 |
transcript.pyannote[977].end |
6979.83471875 |
transcript.pyannote[978].speaker |
SPEAKER_15 |
transcript.pyannote[978].start |
6980.77971875 |
transcript.pyannote[978].end |
6982.33221875 |
transcript.pyannote[979].speaker |
SPEAKER_15 |
transcript.pyannote[979].start |
6983.59784375 |
transcript.pyannote[979].end |
6985.67346875 |
transcript.pyannote[980].speaker |
SPEAKER_15 |
transcript.pyannote[980].start |
6986.97284375 |
transcript.pyannote[980].end |
6988.30596875 |
transcript.pyannote[981].speaker |
SPEAKER_27 |
transcript.pyannote[981].start |
6989.33534375 |
transcript.pyannote[981].end |
6997.99221875 |
transcript.pyannote[982].speaker |
SPEAKER_15 |
transcript.pyannote[982].start |
6989.36909375 |
transcript.pyannote[982].end |
6989.82471875 |
transcript.pyannote[983].speaker |
SPEAKER_15 |
transcript.pyannote[983].start |
6995.54534375 |
transcript.pyannote[983].end |
6995.59596875 |
transcript.pyannote[984].speaker |
SPEAKER_15 |
transcript.pyannote[984].start |
6995.61284375 |
transcript.pyannote[984].end |
6995.62971875 |
transcript.pyannote[985].speaker |
SPEAKER_15 |
transcript.pyannote[985].start |
6997.77284375 |
transcript.pyannote[985].end |
7010.78346875 |
transcript.pyannote[986].speaker |
SPEAKER_15 |
transcript.pyannote[986].start |
7011.54284375 |
transcript.pyannote[986].end |
7027.92846875 |
transcript.pyannote[987].speaker |
SPEAKER_15 |
transcript.pyannote[987].start |
7028.43471875 |
transcript.pyannote[987].end |
7029.51471875 |
transcript.pyannote[988].speaker |
SPEAKER_15 |
transcript.pyannote[988].start |
7029.73409375 |
transcript.pyannote[988].end |
7030.35846875 |
transcript.pyannote[989].speaker |
SPEAKER_15 |
transcript.pyannote[989].start |
7030.72971875 |
transcript.pyannote[989].end |
7067.83784375 |
transcript.pyannote[990].speaker |
SPEAKER_15 |
transcript.pyannote[990].start |
7068.95159375 |
transcript.pyannote[990].end |
7069.76159375 |
transcript.pyannote[991].speaker |
SPEAKER_27 |
transcript.pyannote[991].start |
7069.76159375 |
transcript.pyannote[991].end |
7101.53721875 |
transcript.pyannote[992].speaker |
SPEAKER_15 |
transcript.pyannote[992].start |
7101.84096875 |
transcript.pyannote[992].end |
7102.07721875 |
transcript.pyannote[993].speaker |
SPEAKER_15 |
transcript.pyannote[993].start |
7102.39784375 |
transcript.pyannote[993].end |
7105.77284375 |
transcript.pyannote[994].speaker |
SPEAKER_15 |
transcript.pyannote[994].start |
7106.11034375 |
transcript.pyannote[994].end |
7114.31159375 |
transcript.pyannote[995].speaker |
SPEAKER_15 |
transcript.pyannote[995].start |
7114.59846875 |
transcript.pyannote[995].end |
7117.63596875 |
transcript.pyannote[996].speaker |
SPEAKER_15 |
transcript.pyannote[996].start |
7117.88909375 |
transcript.pyannote[996].end |
7133.00909375 |
transcript.pyannote[997].speaker |
SPEAKER_15 |
transcript.pyannote[997].start |
7133.59971875 |
transcript.pyannote[997].end |
7136.90721875 |
transcript.pyannote[998].speaker |
SPEAKER_15 |
transcript.pyannote[998].start |
7137.12659375 |
transcript.pyannote[998].end |
7137.58221875 |
transcript.pyannote[999].speaker |
SPEAKER_15 |
transcript.pyannote[999].start |
7137.61596875 |
transcript.pyannote[999].end |
7137.63284375 |
transcript.pyannote[1000].speaker |
SPEAKER_15 |
transcript.pyannote[1000].start |
7137.66659375 |
transcript.pyannote[1000].end |
7141.64909375 |
transcript.pyannote[1001].speaker |
SPEAKER_15 |
transcript.pyannote[1001].start |
7142.25659375 |
transcript.pyannote[1001].end |
7145.49659375 |
transcript.pyannote[1002].speaker |
SPEAKER_15 |
transcript.pyannote[1002].start |
7145.91846875 |
transcript.pyannote[1002].end |
7146.91409375 |
transcript.pyannote[1003].speaker |
SPEAKER_15 |
transcript.pyannote[1003].start |
7147.47096875 |
transcript.pyannote[1003].end |
7148.01096875 |
transcript.pyannote[1004].speaker |
SPEAKER_15 |
transcript.pyannote[1004].start |
7148.82096875 |
transcript.pyannote[1004].end |
7149.31034375 |
transcript.pyannote[1005].speaker |
SPEAKER_15 |
transcript.pyannote[1005].start |
7149.68159375 |
transcript.pyannote[1005].end |
7163.51909375 |
transcript.pyannote[1006].speaker |
SPEAKER_15 |
transcript.pyannote[1006].start |
7164.02534375 |
transcript.pyannote[1006].end |
7164.83534375 |
transcript.pyannote[1007].speaker |
SPEAKER_15 |
transcript.pyannote[1007].start |
7165.71284375 |
transcript.pyannote[1007].end |
7168.29471875 |
transcript.pyannote[1008].speaker |
SPEAKER_27 |
transcript.pyannote[1008].start |
7169.20596875 |
transcript.pyannote[1008].end |
7189.40534375 |
transcript.pyannote[1009].speaker |
SPEAKER_15 |
transcript.pyannote[1009].start |
7185.82784375 |
transcript.pyannote[1009].end |
7188.52784375 |
transcript.pyannote[1010].speaker |
SPEAKER_27 |
transcript.pyannote[1010].start |
7189.89471875 |
transcript.pyannote[1010].end |
7193.79284375 |
transcript.pyannote[1011].speaker |
SPEAKER_15 |
transcript.pyannote[1011].start |
7193.42159375 |
transcript.pyannote[1011].end |
7194.06284375 |
transcript.pyannote[1012].speaker |
SPEAKER_27 |
transcript.pyannote[1012].start |
7194.06284375 |
transcript.pyannote[1012].end |
7194.23159375 |
transcript.pyannote[1013].speaker |
SPEAKER_27 |
transcript.pyannote[1013].start |
7194.24846875 |
transcript.pyannote[1013].end |
7195.21034375 |
transcript.pyannote[1014].speaker |
SPEAKER_15 |
transcript.pyannote[1014].start |
7194.77159375 |
transcript.pyannote[1014].end |
7195.19346875 |
transcript.pyannote[1015].speaker |
SPEAKER_15 |
transcript.pyannote[1015].start |
7195.21034375 |
transcript.pyannote[1015].end |
7195.27784375 |
transcript.pyannote[1016].speaker |
SPEAKER_15 |
transcript.pyannote[1016].start |
7196.50971875 |
transcript.pyannote[1016].end |
7196.99909375 |
transcript.pyannote[1017].speaker |
SPEAKER_15 |
transcript.pyannote[1017].start |
7197.57284375 |
transcript.pyannote[1017].end |
7198.70346875 |
transcript.pyannote[1018].speaker |
SPEAKER_27 |
transcript.pyannote[1018].start |
7198.36596875 |
transcript.pyannote[1018].end |
7199.37846875 |
transcript.pyannote[1019].speaker |
SPEAKER_15 |
transcript.pyannote[1019].start |
7199.34471875 |
transcript.pyannote[1019].end |
7200.39096875 |
transcript.pyannote[1020].speaker |
SPEAKER_27 |
transcript.pyannote[1020].start |
7200.12096875 |
transcript.pyannote[1020].end |
7200.79596875 |
transcript.pyannote[1021].speaker |
SPEAKER_15 |
transcript.pyannote[1021].start |
7200.42471875 |
transcript.pyannote[1021].end |
7209.87471875 |
transcript.pyannote[1022].speaker |
SPEAKER_27 |
transcript.pyannote[1022].start |
7202.65221875 |
transcript.pyannote[1022].end |
7203.10784375 |
transcript.pyannote[1023].speaker |
SPEAKER_15 |
transcript.pyannote[1023].start |
7210.90409375 |
transcript.pyannote[1023].end |
7214.14409375 |
transcript.pyannote[1024].speaker |
SPEAKER_15 |
transcript.pyannote[1024].start |
7214.58284375 |
transcript.pyannote[1024].end |
7220.10096875 |
transcript.pyannote[1025].speaker |
SPEAKER_15 |
transcript.pyannote[1025].start |
7220.30346875 |
transcript.pyannote[1025].end |
7225.60221875 |
transcript.pyannote[1026].speaker |
SPEAKER_16 |
transcript.pyannote[1026].start |
7226.47971875 |
transcript.pyannote[1026].end |
7248.16409375 |
transcript.pyannote[1027].speaker |
SPEAKER_15 |
transcript.pyannote[1027].start |
7247.97846875 |
transcript.pyannote[1027].end |
7265.74784375 |
transcript.pyannote[1028].speaker |
SPEAKER_15 |
transcript.pyannote[1028].start |
7266.50721875 |
transcript.pyannote[1028].end |
7276.12596875 |
transcript.pyannote[1029].speaker |
SPEAKER_28 |
transcript.pyannote[1029].start |
7270.15221875 |
transcript.pyannote[1029].end |
7270.40534375 |
transcript.pyannote[1030].speaker |
SPEAKER_15 |
transcript.pyannote[1030].start |
7276.61534375 |
transcript.pyannote[1030].end |
7277.76284375 |
transcript.pyannote[1031].speaker |
SPEAKER_15 |
transcript.pyannote[1031].start |
7278.31971875 |
transcript.pyannote[1031].end |
7281.22221875 |
transcript.pyannote[1032].speaker |
SPEAKER_15 |
transcript.pyannote[1032].start |
7281.71159375 |
transcript.pyannote[1032].end |
7288.14096875 |
transcript.pyannote[1033].speaker |
SPEAKER_15 |
transcript.pyannote[1033].start |
7288.61346875 |
transcript.pyannote[1033].end |
7295.34659375 |
transcript.pyannote[1034].speaker |
SPEAKER_15 |
transcript.pyannote[1034].start |
7295.51534375 |
transcript.pyannote[1034].end |
7305.89346875 |
transcript.pyannote[1035].speaker |
SPEAKER_15 |
transcript.pyannote[1035].start |
7306.78784375 |
transcript.pyannote[1035].end |
7307.66534375 |
transcript.pyannote[1036].speaker |
SPEAKER_15 |
transcript.pyannote[1036].start |
7308.71159375 |
transcript.pyannote[1036].end |
7311.15846875 |
transcript.pyannote[1037].speaker |
SPEAKER_15 |
transcript.pyannote[1037].start |
7311.66471875 |
transcript.pyannote[1037].end |
7313.16659375 |
transcript.pyannote[1038].speaker |
SPEAKER_15 |
transcript.pyannote[1038].start |
7316.50784375 |
transcript.pyannote[1038].end |
7318.16159375 |
transcript.pyannote[1039].speaker |
SPEAKER_15 |
transcript.pyannote[1039].start |
7319.30909375 |
transcript.pyannote[1039].end |
7320.13596875 |
transcript.pyannote[1040].speaker |
SPEAKER_27 |
transcript.pyannote[1040].start |
7320.84471875 |
transcript.pyannote[1040].end |
7321.85721875 |
transcript.pyannote[1041].speaker |
SPEAKER_27 |
transcript.pyannote[1041].start |
7323.27471875 |
transcript.pyannote[1041].end |
7323.52784375 |
transcript.pyannote[1042].speaker |
SPEAKER_15 |
transcript.pyannote[1042].start |
7324.48971875 |
transcript.pyannote[1042].end |
7326.07596875 |
transcript.pyannote[1043].speaker |
SPEAKER_27 |
transcript.pyannote[1043].start |
7324.59096875 |
transcript.pyannote[1043].end |
7325.11409375 |
transcript.pyannote[1044].speaker |
SPEAKER_15 |
transcript.pyannote[1044].start |
7326.61596875 |
transcript.pyannote[1044].end |
7332.77534375 |
transcript.pyannote[1045].speaker |
SPEAKER_15 |
transcript.pyannote[1045].start |
7333.46721875 |
transcript.pyannote[1045].end |
7336.25159375 |
transcript.pyannote[1046].speaker |
SPEAKER_15 |
transcript.pyannote[1046].start |
7336.43721875 |
transcript.pyannote[1046].end |
7345.06034375 |
transcript.pyannote[1047].speaker |
SPEAKER_15 |
transcript.pyannote[1047].start |
7345.38096875 |
transcript.pyannote[1047].end |
7353.14346875 |
transcript.pyannote[1048].speaker |
SPEAKER_15 |
transcript.pyannote[1048].start |
7353.61596875 |
transcript.pyannote[1048].end |
7354.07159375 |
transcript.pyannote[1049].speaker |
SPEAKER_15 |
transcript.pyannote[1049].start |
7354.40909375 |
transcript.pyannote[1049].end |
7358.03721875 |
transcript.pyannote[1050].speaker |
SPEAKER_15 |
transcript.pyannote[1050].start |
7358.08784375 |
transcript.pyannote[1050].end |
7359.80909375 |
transcript.pyannote[1051].speaker |
SPEAKER_15 |
transcript.pyannote[1051].start |
7362.74534375 |
transcript.pyannote[1051].end |
7363.47096875 |
transcript.pyannote[1052].speaker |
SPEAKER_15 |
transcript.pyannote[1052].start |
7363.60596875 |
transcript.pyannote[1052].end |
7363.97721875 |
transcript.pyannote[1053].speaker |
SPEAKER_06 |
transcript.pyannote[1053].start |
7368.93846875 |
transcript.pyannote[1053].end |
7368.95534375 |
transcript.pyannote[1054].speaker |
SPEAKER_15 |
transcript.pyannote[1054].start |
7368.95534375 |
transcript.pyannote[1054].end |
7369.61346875 |
transcript.pyannote[1055].speaker |
SPEAKER_06 |
transcript.pyannote[1055].start |
7369.61346875 |
transcript.pyannote[1055].end |
7369.63034375 |
transcript.pyannote[1056].speaker |
SPEAKER_15 |
transcript.pyannote[1056].start |
7370.27159375 |
transcript.pyannote[1056].end |
7370.81159375 |
transcript.pyannote[1057].speaker |
SPEAKER_15 |
transcript.pyannote[1057].start |
7373.14034375 |
transcript.pyannote[1057].end |
7375.67159375 |
transcript.pyannote[1058].speaker |
SPEAKER_15 |
transcript.pyannote[1058].start |
7376.04284375 |
transcript.pyannote[1058].end |
7378.35471875 |
transcript.pyannote[1059].speaker |
SPEAKER_15 |
transcript.pyannote[1059].start |
7378.69221875 |
transcript.pyannote[1059].end |
7380.70034375 |
transcript.pyannote[1060].speaker |
SPEAKER_15 |
transcript.pyannote[1060].start |
7381.08846875 |
transcript.pyannote[1060].end |
7382.06721875 |
transcript.pyannote[1061].speaker |
SPEAKER_15 |
transcript.pyannote[1061].start |
7382.53971875 |
transcript.pyannote[1061].end |
7383.50159375 |
transcript.pyannote[1062].speaker |
SPEAKER_15 |
transcript.pyannote[1062].start |
7384.48034375 |
transcript.pyannote[1062].end |
7385.03721875 |
transcript.pyannote[1063].speaker |
SPEAKER_15 |
transcript.pyannote[1063].start |
7385.50971875 |
transcript.pyannote[1063].end |
7386.50534375 |
transcript.pyannote[1064].speaker |
SPEAKER_15 |
transcript.pyannote[1064].start |
7387.43346875 |
transcript.pyannote[1064].end |
7389.82971875 |
transcript.pyannote[1065].speaker |
SPEAKER_15 |
transcript.pyannote[1065].start |
7390.57221875 |
transcript.pyannote[1065].end |
7391.83784375 |
transcript.pyannote[1066].speaker |
SPEAKER_15 |
transcript.pyannote[1066].start |
7392.52971875 |
transcript.pyannote[1066].end |
7394.65596875 |
transcript.pyannote[1067].speaker |
SPEAKER_15 |
transcript.pyannote[1067].start |
7395.01034375 |
transcript.pyannote[1067].end |
7396.81596875 |
transcript.pyannote[1068].speaker |
SPEAKER_15 |
transcript.pyannote[1068].start |
7396.95096875 |
transcript.pyannote[1068].end |
7397.91284375 |
transcript.pyannote[1069].speaker |
SPEAKER_15 |
transcript.pyannote[1069].start |
7398.55409375 |
transcript.pyannote[1069].end |
7399.80284375 |
transcript.pyannote[1070].speaker |
SPEAKER_15 |
transcript.pyannote[1070].start |
7400.22471875 |
transcript.pyannote[1070].end |
7401.03471875 |
transcript.pyannote[1071].speaker |
SPEAKER_15 |
transcript.pyannote[1071].start |
7401.82784375 |
transcript.pyannote[1071].end |
7405.08471875 |
transcript.pyannote[1072].speaker |
SPEAKER_15 |
transcript.pyannote[1072].start |
7405.84409375 |
transcript.pyannote[1072].end |
7408.13909375 |
transcript.pyannote[1073].speaker |
SPEAKER_15 |
transcript.pyannote[1073].start |
7408.69596875 |
transcript.pyannote[1073].end |
7409.16846875 |
transcript.pyannote[1074].speaker |
SPEAKER_15 |
transcript.pyannote[1074].start |
7409.57346875 |
transcript.pyannote[1074].end |
7410.53534375 |
transcript.pyannote[1075].speaker |
SPEAKER_15 |
transcript.pyannote[1075].start |
7410.99096875 |
transcript.pyannote[1075].end |
7411.42971875 |
transcript.pyannote[1076].speaker |
SPEAKER_16 |
transcript.pyannote[1076].start |
7412.57721875 |
transcript.pyannote[1076].end |
7412.93159375 |
transcript.pyannote[1077].speaker |
SPEAKER_16 |
transcript.pyannote[1077].start |
7413.55596875 |
transcript.pyannote[1077].end |
7423.37721875 |
transcript.pyannote[1078].speaker |
SPEAKER_16 |
transcript.pyannote[1078].start |
7423.71471875 |
transcript.pyannote[1078].end |
7430.53221875 |
transcript.pyannote[1079].speaker |
SPEAKER_15 |
transcript.pyannote[1079].start |
7430.34659375 |
transcript.pyannote[1079].end |
7431.62909375 |
transcript.pyannote[1080].speaker |
SPEAKER_15 |
transcript.pyannote[1080].start |
7432.42221875 |
transcript.pyannote[1080].end |
7437.55221875 |
transcript.pyannote[1081].speaker |
SPEAKER_16 |
transcript.pyannote[1081].start |
7438.83471875 |
transcript.pyannote[1081].end |
7443.66096875 |
transcript.pyannote[1082].speaker |
SPEAKER_15 |
transcript.pyannote[1082].start |
7443.55971875 |
transcript.pyannote[1082].end |
7444.36971875 |
transcript.pyannote[1083].speaker |
SPEAKER_16 |
transcript.pyannote[1083].start |
7444.36971875 |
transcript.pyannote[1083].end |
7444.92659375 |
transcript.pyannote[1084].speaker |
SPEAKER_15 |
transcript.pyannote[1084].start |
7444.62284375 |
transcript.pyannote[1084].end |
7445.02784375 |
transcript.pyannote[1085].speaker |
SPEAKER_16 |
transcript.pyannote[1085].start |
7445.02784375 |
transcript.pyannote[1085].end |
7447.20471875 |
transcript.pyannote[1086].speaker |
SPEAKER_16 |
transcript.pyannote[1086].start |
7447.40721875 |
transcript.pyannote[1086].end |
7449.98909375 |
transcript.pyannote[1087].speaker |
SPEAKER_15 |
transcript.pyannote[1087].start |
7449.41534375 |
transcript.pyannote[1087].end |
7450.81596875 |
transcript.pyannote[1088].speaker |
SPEAKER_15 |
transcript.pyannote[1088].start |
7451.54159375 |
transcript.pyannote[1088].end |
7459.60784375 |
transcript.pyannote[1089].speaker |
SPEAKER_15 |
transcript.pyannote[1089].start |
7460.06346875 |
transcript.pyannote[1089].end |
7465.96971875 |
transcript.pyannote[1090].speaker |
SPEAKER_15 |
transcript.pyannote[1090].start |
7466.13846875 |
transcript.pyannote[1090].end |
7469.98596875 |
transcript.pyannote[1091].speaker |
SPEAKER_15 |
transcript.pyannote[1091].start |
7470.23909375 |
transcript.pyannote[1091].end |
7471.35284375 |
transcript.pyannote[1092].speaker |
SPEAKER_15 |
transcript.pyannote[1092].start |
7471.60596875 |
transcript.pyannote[1092].end |
7472.98971875 |
transcript.pyannote[1093].speaker |
SPEAKER_15 |
transcript.pyannote[1093].start |
7473.93471875 |
transcript.pyannote[1093].end |
7478.30534375 |
transcript.pyannote[1094].speaker |
SPEAKER_15 |
transcript.pyannote[1094].start |
7478.86221875 |
transcript.pyannote[1094].end |
7484.31284375 |
transcript.pyannote[1095].speaker |
SPEAKER_15 |
transcript.pyannote[1095].start |
7484.80221875 |
transcript.pyannote[1095].end |
7489.29096875 |
transcript.pyannote[1096].speaker |
SPEAKER_15 |
transcript.pyannote[1096].start |
7489.74659375 |
transcript.pyannote[1096].end |
7491.63659375 |
transcript.pyannote[1097].speaker |
SPEAKER_15 |
transcript.pyannote[1097].start |
7492.36221875 |
transcript.pyannote[1097].end |
7494.65721875 |
transcript.pyannote[1098].speaker |
SPEAKER_15 |
transcript.pyannote[1098].start |
7494.87659375 |
transcript.pyannote[1098].end |
7497.17159375 |
transcript.pyannote[1099].speaker |
SPEAKER_15 |
transcript.pyannote[1099].start |
7497.34034375 |
transcript.pyannote[1099].end |
7509.27096875 |
transcript.pyannote[1100].speaker |
SPEAKER_15 |
transcript.pyannote[1100].start |
7510.33409375 |
transcript.pyannote[1100].end |
7510.75596875 |
transcript.pyannote[1101].speaker |
SPEAKER_15 |
transcript.pyannote[1101].start |
7510.99221875 |
transcript.pyannote[1101].end |
7512.59534375 |
transcript.pyannote[1102].speaker |
SPEAKER_15 |
transcript.pyannote[1102].start |
7513.27034375 |
transcript.pyannote[1102].end |
7515.61596875 |
transcript.pyannote[1103].speaker |
SPEAKER_15 |
transcript.pyannote[1103].start |
7515.91971875 |
transcript.pyannote[1103].end |
7517.06721875 |
transcript.pyannote[1104].speaker |
SPEAKER_15 |
transcript.pyannote[1104].start |
7517.74221875 |
transcript.pyannote[1104].end |
7519.91909375 |
transcript.pyannote[1105].speaker |
SPEAKER_15 |
transcript.pyannote[1105].start |
7520.10471875 |
transcript.pyannote[1105].end |
7521.45471875 |
transcript.pyannote[1106].speaker |
SPEAKER_15 |
transcript.pyannote[1106].start |
7521.82596875 |
transcript.pyannote[1106].end |
7538.49846875 |
transcript.pyannote[1107].speaker |
SPEAKER_15 |
transcript.pyannote[1107].start |
7538.90346875 |
transcript.pyannote[1107].end |
7539.83159375 |
transcript.pyannote[1108].speaker |
SPEAKER_15 |
transcript.pyannote[1108].start |
7540.06784375 |
transcript.pyannote[1108].end |
7549.75409375 |
transcript.pyannote[1109].speaker |
SPEAKER_15 |
transcript.pyannote[1109].start |
7550.07471875 |
transcript.pyannote[1109].end |
7561.29659375 |
transcript.pyannote[1110].speaker |
SPEAKER_15 |
transcript.pyannote[1110].start |
7561.60034375 |
transcript.pyannote[1110].end |
7565.51534375 |
transcript.pyannote[1111].speaker |
SPEAKER_15 |
transcript.pyannote[1111].start |
7566.56159375 |
transcript.pyannote[1111].end |
7571.65784375 |
transcript.pyannote[1112].speaker |
SPEAKER_15 |
transcript.pyannote[1112].start |
7572.02909375 |
transcript.pyannote[1112].end |
7574.30721875 |
transcript.pyannote[1113].speaker |
SPEAKER_16 |
transcript.pyannote[1113].start |
7574.39159375 |
transcript.pyannote[1113].end |
7575.92721875 |
transcript.pyannote[1114].speaker |
SPEAKER_15 |
transcript.pyannote[1114].start |
7576.06221875 |
transcript.pyannote[1114].end |
7576.51784375 |
transcript.pyannote[1115].speaker |
SPEAKER_16 |
transcript.pyannote[1115].start |
7577.66534375 |
transcript.pyannote[1115].end |
7578.82971875 |
transcript.pyannote[1116].speaker |
SPEAKER_21 |
transcript.pyannote[1116].start |
7578.82971875 |
transcript.pyannote[1116].end |
7578.84659375 |
transcript.pyannote[1117].speaker |
SPEAKER_21 |
transcript.pyannote[1117].start |
7579.23471875 |
transcript.pyannote[1117].end |
7579.25159375 |
transcript.pyannote[1118].speaker |
SPEAKER_16 |
transcript.pyannote[1118].start |
7579.25159375 |
transcript.pyannote[1118].end |
7579.40346875 |
transcript.pyannote[1119].speaker |
SPEAKER_21 |
transcript.pyannote[1119].start |
7579.40346875 |
transcript.pyannote[1119].end |
7579.85909375 |
transcript.pyannote[1120].speaker |
SPEAKER_15 |
transcript.pyannote[1120].start |
7587.43596875 |
transcript.pyannote[1120].end |
7590.50721875 |
transcript.pyannote[1121].speaker |
SPEAKER_09 |
transcript.pyannote[1121].start |
7600.15971875 |
transcript.pyannote[1121].end |
7606.03221875 |
transcript.pyannote[1122].speaker |
SPEAKER_09 |
transcript.pyannote[1122].start |
7606.06596875 |
transcript.pyannote[1122].end |
7607.87159375 |
transcript.pyannote[1123].speaker |
SPEAKER_15 |
transcript.pyannote[1123].start |
7607.87159375 |
transcript.pyannote[1123].end |
7607.88846875 |
transcript.pyannote[1124].speaker |
SPEAKER_09 |
transcript.pyannote[1124].start |
7615.06034375 |
transcript.pyannote[1124].end |
7615.95471875 |
transcript.pyannote[1125].speaker |
SPEAKER_09 |
transcript.pyannote[1125].start |
7615.97159375 |
transcript.pyannote[1125].end |
7615.98846875 |
transcript.pyannote[1126].speaker |
SPEAKER_18 |
transcript.pyannote[1126].start |
7617.00096875 |
transcript.pyannote[1126].end |
7617.47346875 |
transcript.pyannote[1127].speaker |
SPEAKER_09 |
transcript.pyannote[1127].start |
7617.18659375 |
transcript.pyannote[1127].end |
7622.68784375 |
transcript.pyannote[1128].speaker |
SPEAKER_09 |
transcript.pyannote[1128].start |
7622.94096875 |
transcript.pyannote[1128].end |
7623.93659375 |
transcript.pyannote[1129].speaker |
SPEAKER_09 |
transcript.pyannote[1129].start |
7623.95346875 |
transcript.pyannote[1129].end |
7645.72221875 |
transcript.pyannote[1130].speaker |
SPEAKER_09 |
transcript.pyannote[1130].start |
7645.78971875 |
transcript.pyannote[1130].end |
7648.69221875 |
transcript.pyannote[1131].speaker |
SPEAKER_09 |
transcript.pyannote[1131].start |
7648.87784375 |
transcript.pyannote[1131].end |
7649.51909375 |
transcript.pyannote[1132].speaker |
SPEAKER_09 |
transcript.pyannote[1132].start |
7649.90721875 |
transcript.pyannote[1132].end |
7653.82221875 |
transcript.pyannote[1133].speaker |
SPEAKER_09 |
transcript.pyannote[1133].start |
7654.26096875 |
transcript.pyannote[1133].end |
7672.19909375 |
transcript.pyannote[1134].speaker |
SPEAKER_16 |
transcript.pyannote[1134].start |
7672.78971875 |
transcript.pyannote[1134].end |
7679.43846875 |
transcript.pyannote[1135].speaker |
SPEAKER_16 |
transcript.pyannote[1135].start |
7679.50596875 |
transcript.pyannote[1135].end |
7680.50159375 |
transcript.pyannote[1136].speaker |
SPEAKER_09 |
transcript.pyannote[1136].start |
7679.79284375 |
transcript.pyannote[1136].end |
7681.66596875 |
transcript.pyannote[1137].speaker |
SPEAKER_16 |
transcript.pyannote[1137].start |
7681.66596875 |
transcript.pyannote[1137].end |
7681.86846875 |
transcript.pyannote[1138].speaker |
SPEAKER_09 |
transcript.pyannote[1138].start |
7681.69971875 |
transcript.pyannote[1138].end |
7693.95096875 |
transcript.pyannote[1139].speaker |
SPEAKER_16 |
transcript.pyannote[1139].start |
7685.41221875 |
transcript.pyannote[1139].end |
7685.54721875 |
transcript.pyannote[1140].speaker |
SPEAKER_16 |
transcript.pyannote[1140].start |
7694.44034375 |
transcript.pyannote[1140].end |
7695.89159375 |
transcript.pyannote[1141].speaker |
SPEAKER_09 |
transcript.pyannote[1141].start |
7696.06034375 |
transcript.pyannote[1141].end |
7697.19096875 |
transcript.pyannote[1142].speaker |
SPEAKER_09 |
transcript.pyannote[1142].start |
7697.59596875 |
transcript.pyannote[1142].end |
7710.96096875 |
transcript.pyannote[1143].speaker |
SPEAKER_16 |
transcript.pyannote[1143].start |
7712.85096875 |
transcript.pyannote[1143].end |
7717.22159375 |
transcript.pyannote[1144].speaker |
SPEAKER_16 |
transcript.pyannote[1144].start |
7717.62659375 |
transcript.pyannote[1144].end |
7718.21721875 |
transcript.pyannote[1145].speaker |
SPEAKER_09 |
transcript.pyannote[1145].start |
7717.69409375 |
transcript.pyannote[1145].end |
7718.77409375 |
transcript.pyannote[1146].speaker |
SPEAKER_16 |
transcript.pyannote[1146].start |
7718.65596875 |
transcript.pyannote[1146].end |
7727.39721875 |
transcript.pyannote[1147].speaker |
SPEAKER_28 |
transcript.pyannote[1147].start |
7727.48159375 |
transcript.pyannote[1147].end |
7727.97096875 |
transcript.pyannote[1148].speaker |
SPEAKER_16 |
transcript.pyannote[1148].start |
7727.54909375 |
transcript.pyannote[1148].end |
7734.43409375 |
transcript.pyannote[1149].speaker |
SPEAKER_09 |
transcript.pyannote[1149].start |
7734.13034375 |
transcript.pyannote[1149].end |
7748.33909375 |
transcript.pyannote[1150].speaker |
SPEAKER_09 |
transcript.pyannote[1150].start |
7749.46971875 |
transcript.pyannote[1150].end |
7750.73534375 |
transcript.pyannote[1151].speaker |
SPEAKER_27 |
transcript.pyannote[1151].start |
7753.11471875 |
transcript.pyannote[1151].end |
7754.86971875 |
transcript.pyannote[1152].speaker |
SPEAKER_27 |
transcript.pyannote[1152].start |
7755.35909375 |
transcript.pyannote[1152].end |
7760.72534375 |
transcript.pyannote[1153].speaker |
SPEAKER_09 |
transcript.pyannote[1153].start |
7761.28221875 |
transcript.pyannote[1153].end |
7761.99096875 |
transcript.pyannote[1154].speaker |
SPEAKER_27 |
transcript.pyannote[1154].start |
7761.45096875 |
transcript.pyannote[1154].end |
7761.51846875 |
transcript.pyannote[1155].speaker |
SPEAKER_27 |
transcript.pyannote[1155].start |
7761.88971875 |
transcript.pyannote[1155].end |
7763.37471875 |
transcript.pyannote[1156].speaker |
SPEAKER_27 |
transcript.pyannote[1156].start |
7763.79659375 |
transcript.pyannote[1156].end |
7766.47971875 |
transcript.pyannote[1157].speaker |
SPEAKER_09 |
transcript.pyannote[1157].start |
7766.56409375 |
transcript.pyannote[1157].end |
7766.95221875 |
transcript.pyannote[1158].speaker |
SPEAKER_09 |
transcript.pyannote[1158].start |
7767.23909375 |
transcript.pyannote[1158].end |
7771.18784375 |
transcript.pyannote[1159].speaker |
SPEAKER_09 |
transcript.pyannote[1159].start |
7771.81221875 |
transcript.pyannote[1159].end |
7775.87909375 |
transcript.pyannote[1160].speaker |
SPEAKER_27 |
transcript.pyannote[1160].start |
7771.87971875 |
transcript.pyannote[1160].end |
7777.31346875 |
transcript.pyannote[1161].speaker |
SPEAKER_09 |
transcript.pyannote[1161].start |
7777.31346875 |
transcript.pyannote[1161].end |
7779.08534375 |
transcript.pyannote[1162].speaker |
SPEAKER_27 |
transcript.pyannote[1162].start |
7778.10659375 |
transcript.pyannote[1162].end |
7788.50159375 |
transcript.pyannote[1163].speaker |
SPEAKER_28 |
transcript.pyannote[1163].start |
7788.50159375 |
transcript.pyannote[1163].end |
7788.82221875 |
transcript.pyannote[1164].speaker |
SPEAKER_27 |
transcript.pyannote[1164].start |
7788.70409375 |
transcript.pyannote[1164].end |
7811.40096875 |
transcript.pyannote[1165].speaker |
SPEAKER_28 |
transcript.pyannote[1165].start |
7795.42034375 |
transcript.pyannote[1165].end |
7795.43721875 |
transcript.pyannote[1166].speaker |
SPEAKER_28 |
transcript.pyannote[1166].start |
7795.70721875 |
transcript.pyannote[1166].end |
7795.90971875 |
transcript.pyannote[1167].speaker |
SPEAKER_00 |
transcript.pyannote[1167].start |
7795.90971875 |
transcript.pyannote[1167].end |
7795.92659375 |
transcript.pyannote[1168].speaker |
SPEAKER_27 |
transcript.pyannote[1168].start |
7812.04221875 |
transcript.pyannote[1168].end |
7821.71159375 |
transcript.pyannote[1169].speaker |
SPEAKER_09 |
transcript.pyannote[1169].start |
7821.12096875 |
transcript.pyannote[1169].end |
7822.35284375 |
transcript.pyannote[1170].speaker |
SPEAKER_27 |
transcript.pyannote[1170].start |
7822.35284375 |
transcript.pyannote[1170].end |
7826.18346875 |
transcript.pyannote[1171].speaker |
SPEAKER_27 |
transcript.pyannote[1171].start |
7826.68971875 |
transcript.pyannote[1171].end |
7834.16534375 |
transcript.pyannote[1172].speaker |
SPEAKER_27 |
transcript.pyannote[1172].start |
7834.80659375 |
transcript.pyannote[1172].end |
7838.67096875 |
transcript.pyannote[1173].speaker |
SPEAKER_27 |
transcript.pyannote[1173].start |
7839.21096875 |
transcript.pyannote[1173].end |
7839.63284375 |
transcript.pyannote[1174].speaker |
SPEAKER_27 |
transcript.pyannote[1174].start |
7840.05471875 |
transcript.pyannote[1174].end |
7867.64534375 |
transcript.pyannote[1175].speaker |
SPEAKER_27 |
transcript.pyannote[1175].start |
7868.26971875 |
transcript.pyannote[1175].end |
7870.59846875 |
transcript.pyannote[1176].speaker |
SPEAKER_09 |
transcript.pyannote[1176].start |
7871.45909375 |
transcript.pyannote[1176].end |
7880.62221875 |
transcript.pyannote[1177].speaker |
SPEAKER_09 |
transcript.pyannote[1177].start |
7880.68971875 |
transcript.pyannote[1177].end |
7881.41534375 |
transcript.pyannote[1178].speaker |
SPEAKER_09 |
transcript.pyannote[1178].start |
7881.88784375 |
transcript.pyannote[1178].end |
7882.71471875 |
transcript.pyannote[1179].speaker |
SPEAKER_09 |
transcript.pyannote[1179].start |
7883.10284375 |
transcript.pyannote[1179].end |
7886.24159375 |
transcript.pyannote[1180].speaker |
SPEAKER_09 |
transcript.pyannote[1180].start |
7886.91659375 |
transcript.pyannote[1180].end |
7891.08471875 |
transcript.pyannote[1181].speaker |
SPEAKER_09 |
transcript.pyannote[1181].start |
7891.67534375 |
transcript.pyannote[1181].end |
7893.12659375 |
transcript.pyannote[1182].speaker |
SPEAKER_09 |
transcript.pyannote[1182].start |
7893.64971875 |
transcript.pyannote[1182].end |
7893.86909375 |
transcript.pyannote[1183].speaker |
SPEAKER_09 |
transcript.pyannote[1183].start |
7894.24034375 |
transcript.pyannote[1183].end |
7895.75909375 |
transcript.pyannote[1184].speaker |
SPEAKER_09 |
transcript.pyannote[1184].start |
7896.56909375 |
transcript.pyannote[1184].end |
7900.73721875 |
transcript.pyannote[1185].speaker |
SPEAKER_09 |
transcript.pyannote[1185].start |
7900.92284375 |
transcript.pyannote[1185].end |
7906.32284375 |
transcript.pyannote[1186].speaker |
SPEAKER_09 |
transcript.pyannote[1186].start |
7906.87971875 |
transcript.pyannote[1186].end |
7933.00221875 |
transcript.pyannote[1187].speaker |
SPEAKER_27 |
transcript.pyannote[1187].start |
7934.36909375 |
transcript.pyannote[1187].end |
7935.02721875 |
transcript.pyannote[1188].speaker |
SPEAKER_27 |
transcript.pyannote[1188].start |
7935.51659375 |
transcript.pyannote[1188].end |
7946.09721875 |
transcript.pyannote[1189].speaker |
SPEAKER_27 |
transcript.pyannote[1189].start |
7946.36721875 |
transcript.pyannote[1189].end |
7951.63221875 |
transcript.pyannote[1190].speaker |
SPEAKER_27 |
transcript.pyannote[1190].start |
7951.86846875 |
transcript.pyannote[1190].end |
7962.24659375 |
transcript.pyannote[1191].speaker |
SPEAKER_27 |
transcript.pyannote[1191].start |
7962.68534375 |
transcript.pyannote[1191].end |
7983.57659375 |
transcript.pyannote[1192].speaker |
SPEAKER_09 |
transcript.pyannote[1192].start |
7972.25346875 |
transcript.pyannote[1192].end |
7974.43034375 |
transcript.pyannote[1193].speaker |
SPEAKER_09 |
transcript.pyannote[1193].start |
7974.46409375 |
transcript.pyannote[1193].end |
7974.48096875 |
transcript.pyannote[1194].speaker |
SPEAKER_28 |
transcript.pyannote[1194].start |
7980.65721875 |
transcript.pyannote[1194].end |
7981.07909375 |
transcript.pyannote[1195].speaker |
SPEAKER_28 |
transcript.pyannote[1195].start |
7983.77909375 |
transcript.pyannote[1195].end |
7984.20096875 |
transcript.pyannote[1196].speaker |
SPEAKER_27 |
transcript.pyannote[1196].start |
7984.69034375 |
transcript.pyannote[1196].end |
7991.86221875 |
transcript.pyannote[1197].speaker |
SPEAKER_28 |
transcript.pyannote[1197].start |
7989.68534375 |
transcript.pyannote[1197].end |
7989.75284375 |
transcript.pyannote[1198].speaker |
SPEAKER_27 |
transcript.pyannote[1198].start |
7992.13221875 |
transcript.pyannote[1198].end |
7993.70159375 |
transcript.pyannote[1199].speaker |
SPEAKER_27 |
transcript.pyannote[1199].start |
7994.27534375 |
transcript.pyannote[1199].end |
7994.71409375 |
transcript.pyannote[1200].speaker |
SPEAKER_27 |
transcript.pyannote[1200].start |
7995.32159375 |
transcript.pyannote[1200].end |
8019.31784375 |
transcript.pyannote[1201].speaker |
SPEAKER_28 |
transcript.pyannote[1201].start |
8019.73971875 |
transcript.pyannote[1201].end |
8019.90846875 |
transcript.pyannote[1202].speaker |
SPEAKER_27 |
transcript.pyannote[1202].start |
8019.90846875 |
transcript.pyannote[1202].end |
8024.85284375 |
transcript.pyannote[1203].speaker |
SPEAKER_27 |
transcript.pyannote[1203].start |
8025.47721875 |
transcript.pyannote[1203].end |
8026.06784375 |
transcript.pyannote[1204].speaker |
SPEAKER_27 |
transcript.pyannote[1204].start |
8026.94534375 |
transcript.pyannote[1204].end |
8030.48909375 |
transcript.pyannote[1205].speaker |
SPEAKER_27 |
transcript.pyannote[1205].start |
8030.77596875 |
transcript.pyannote[1205].end |
8036.76659375 |
transcript.pyannote[1206].speaker |
SPEAKER_09 |
transcript.pyannote[1206].start |
8032.56471875 |
transcript.pyannote[1206].end |
8033.15534375 |
transcript.pyannote[1207].speaker |
SPEAKER_09 |
transcript.pyannote[1207].start |
8036.02409375 |
transcript.pyannote[1207].end |
8059.21034375 |
transcript.pyannote[1208].speaker |
SPEAKER_27 |
transcript.pyannote[1208].start |
8037.72846875 |
transcript.pyannote[1208].end |
8038.03221875 |
transcript.pyannote[1209].speaker |
SPEAKER_27 |
transcript.pyannote[1209].start |
8041.84596875 |
transcript.pyannote[1209].end |
8043.01034375 |
transcript.pyannote[1210].speaker |
SPEAKER_27 |
transcript.pyannote[1210].start |
8055.83534375 |
transcript.pyannote[1210].end |
8056.99971875 |
transcript.pyannote[1211].speaker |
SPEAKER_27 |
transcript.pyannote[1211].start |
8058.67034375 |
transcript.pyannote[1211].end |
8064.17159375 |
transcript.pyannote[1212].speaker |
SPEAKER_27 |
transcript.pyannote[1212].start |
8064.30659375 |
transcript.pyannote[1212].end |
8067.96846875 |
transcript.pyannote[1213].speaker |
SPEAKER_27 |
transcript.pyannote[1213].start |
8068.33971875 |
transcript.pyannote[1213].end |
8081.63721875 |
transcript.pyannote[1214].speaker |
SPEAKER_09 |
transcript.pyannote[1214].start |
8081.97471875 |
transcript.pyannote[1214].end |
8082.31221875 |
transcript.pyannote[1215].speaker |
SPEAKER_09 |
transcript.pyannote[1215].start |
8082.41346875 |
transcript.pyannote[1215].end |
8088.55596875 |
transcript.pyannote[1216].speaker |
SPEAKER_27 |
transcript.pyannote[1216].start |
8088.62346875 |
transcript.pyannote[1216].end |
8093.73659375 |
transcript.pyannote[1217].speaker |
SPEAKER_09 |
transcript.pyannote[1217].start |
8089.38284375 |
transcript.pyannote[1217].end |
8090.96909375 |
transcript.pyannote[1218].speaker |
SPEAKER_09 |
transcript.pyannote[1218].start |
8093.06159375 |
transcript.pyannote[1218].end |
8094.29346875 |
transcript.pyannote[1219].speaker |
SPEAKER_09 |
transcript.pyannote[1219].start |
8094.52971875 |
transcript.pyannote[1219].end |
8095.77846875 |
transcript.pyannote[1220].speaker |
SPEAKER_27 |
transcript.pyannote[1220].start |
8096.31846875 |
transcript.pyannote[1220].end |
8097.04409375 |
transcript.pyannote[1221].speaker |
SPEAKER_27 |
transcript.pyannote[1221].start |
8097.63471875 |
transcript.pyannote[1221].end |
8100.09846875 |
transcript.pyannote[1222].speaker |
SPEAKER_09 |
transcript.pyannote[1222].start |
8098.44471875 |
transcript.pyannote[1222].end |
8098.81596875 |
transcript.pyannote[1223].speaker |
SPEAKER_09 |
transcript.pyannote[1223].start |
8099.74409375 |
transcript.pyannote[1223].end |
8100.43596875 |
transcript.pyannote[1224].speaker |
SPEAKER_27 |
transcript.pyannote[1224].start |
8100.67221875 |
transcript.pyannote[1224].end |
8103.59159375 |
transcript.pyannote[1225].speaker |
SPEAKER_09 |
transcript.pyannote[1225].start |
8102.93346875 |
transcript.pyannote[1225].end |
8104.77284375 |
transcript.pyannote[1226].speaker |
SPEAKER_27 |
transcript.pyannote[1226].start |
8105.19471875 |
transcript.pyannote[1226].end |
8105.54909375 |
transcript.pyannote[1227].speaker |
SPEAKER_09 |
transcript.pyannote[1227].start |
8105.97096875 |
transcript.pyannote[1227].end |
8106.62909375 |
transcript.pyannote[1228].speaker |
SPEAKER_27 |
transcript.pyannote[1228].start |
8106.96659375 |
transcript.pyannote[1228].end |
8107.37159375 |
transcript.pyannote[1229].speaker |
SPEAKER_09 |
transcript.pyannote[1229].start |
8107.55721875 |
transcript.pyannote[1229].end |
8108.18159375 |
transcript.pyannote[1230].speaker |
SPEAKER_27 |
transcript.pyannote[1230].start |
8108.23221875 |
transcript.pyannote[1230].end |
8108.67096875 |
transcript.pyannote[1231].speaker |
SPEAKER_09 |
transcript.pyannote[1231].start |
8108.67096875 |
transcript.pyannote[1231].end |
8109.24471875 |
transcript.pyannote[1232].speaker |
SPEAKER_27 |
transcript.pyannote[1232].start |
8109.24471875 |
transcript.pyannote[1232].end |
8109.91971875 |
transcript.pyannote[1233].speaker |
SPEAKER_09 |
transcript.pyannote[1233].start |
8109.36284375 |
transcript.pyannote[1233].end |
8109.49784375 |
transcript.pyannote[1234].speaker |
SPEAKER_09 |
transcript.pyannote[1234].start |
8110.17284375 |
transcript.pyannote[1234].end |
8110.45971875 |
transcript.pyannote[1235].speaker |
SPEAKER_27 |
transcript.pyannote[1235].start |
8111.79284375 |
transcript.pyannote[1235].end |
8123.65596875 |
transcript.pyannote[1236].speaker |
SPEAKER_09 |
transcript.pyannote[1236].start |
8124.66846875 |
transcript.pyannote[1236].end |
8130.82784375 |
transcript.pyannote[1237].speaker |
SPEAKER_09 |
transcript.pyannote[1237].start |
8132.73471875 |
transcript.pyannote[1237].end |
8134.20284375 |
transcript.pyannote[1238].speaker |
SPEAKER_27 |
transcript.pyannote[1238].start |
8135.45159375 |
transcript.pyannote[1238].end |
8136.04221875 |
transcript.pyannote[1239].speaker |
SPEAKER_09 |
transcript.pyannote[1239].start |
8136.34596875 |
transcript.pyannote[1239].end |
8137.10534375 |
transcript.pyannote[1240].speaker |
SPEAKER_27 |
transcript.pyannote[1240].start |
8137.29096875 |
transcript.pyannote[1240].end |
8137.62846875 |
transcript.pyannote[1241].speaker |
SPEAKER_09 |
transcript.pyannote[1241].start |
8138.79284375 |
transcript.pyannote[1241].end |
8139.80534375 |
transcript.pyannote[1242].speaker |
SPEAKER_27 |
transcript.pyannote[1242].start |
8141.23971875 |
transcript.pyannote[1242].end |
8142.03284375 |
transcript.pyannote[1243].speaker |
SPEAKER_27 |
transcript.pyannote[1243].start |
8142.26909375 |
transcript.pyannote[1243].end |
8143.14659375 |
transcript.pyannote[1244].speaker |
SPEAKER_27 |
transcript.pyannote[1244].start |
8144.09159375 |
transcript.pyannote[1244].end |
8147.24721875 |
transcript.pyannote[1245].speaker |
SPEAKER_09 |
transcript.pyannote[1245].start |
8146.99409375 |
transcript.pyannote[1245].end |
8148.25971875 |
transcript.pyannote[1246].speaker |
SPEAKER_27 |
transcript.pyannote[1246].start |
8148.25971875 |
transcript.pyannote[1246].end |
8149.91346875 |
transcript.pyannote[1247].speaker |
SPEAKER_09 |
transcript.pyannote[1247].start |
8150.72346875 |
transcript.pyannote[1247].end |
8151.02721875 |
transcript.pyannote[1248].speaker |
SPEAKER_09 |
transcript.pyannote[1248].start |
8152.57971875 |
transcript.pyannote[1248].end |
8154.57096875 |
transcript.pyannote[1249].speaker |
SPEAKER_17 |
transcript.pyannote[1249].start |
8156.62971875 |
transcript.pyannote[1249].end |
8166.73784375 |
transcript.pyannote[1250].speaker |
SPEAKER_00 |
transcript.pyannote[1250].start |
8165.99534375 |
transcript.pyannote[1250].end |
8166.01221875 |
transcript.pyannote[1251].speaker |
SPEAKER_09 |
transcript.pyannote[1251].start |
8166.01221875 |
transcript.pyannote[1251].end |
8166.28221875 |
transcript.pyannote[1252].speaker |
SPEAKER_17 |
transcript.pyannote[1252].start |
8166.88971875 |
transcript.pyannote[1252].end |
8168.42534375 |
transcript.pyannote[1253].speaker |
SPEAKER_17 |
transcript.pyannote[1253].start |
8168.69534375 |
transcript.pyannote[1253].end |
8170.82159375 |
transcript.pyannote[1254].speaker |
SPEAKER_09 |
transcript.pyannote[1254].start |
8170.82159375 |
transcript.pyannote[1254].end |
8171.98596875 |
transcript.pyannote[1255].speaker |
SPEAKER_15 |
transcript.pyannote[1255].start |
8176.50846875 |
transcript.pyannote[1255].end |
8177.41971875 |
transcript.pyannote[1256].speaker |
SPEAKER_15 |
transcript.pyannote[1256].start |
8183.79846875 |
transcript.pyannote[1256].end |
8185.57034375 |
transcript.pyannote[1257].speaker |
SPEAKER_15 |
transcript.pyannote[1257].start |
8186.00909375 |
transcript.pyannote[1257].end |
8189.77221875 |
transcript.pyannote[1258].speaker |
SPEAKER_15 |
transcript.pyannote[1258].start |
8190.68346875 |
transcript.pyannote[1258].end |
8193.01221875 |
transcript.pyannote[1259].speaker |
SPEAKER_15 |
transcript.pyannote[1259].start |
8193.19784375 |
transcript.pyannote[1259].end |
8196.57284375 |
transcript.pyannote[1260].speaker |
SPEAKER_15 |
transcript.pyannote[1260].start |
8197.04534375 |
transcript.pyannote[1260].end |
8197.93971875 |
transcript.pyannote[1261].speaker |
SPEAKER_15 |
transcript.pyannote[1261].start |
8198.42909375 |
transcript.pyannote[1261].end |
8200.18409375 |
transcript.pyannote[1262].speaker |
SPEAKER_15 |
transcript.pyannote[1262].start |
8200.63971875 |
transcript.pyannote[1262].end |
8203.62659375 |
transcript.pyannote[1263].speaker |
SPEAKER_15 |
transcript.pyannote[1263].start |
8204.04846875 |
transcript.pyannote[1263].end |
8212.57034375 |
transcript.pyannote[1264].speaker |
SPEAKER_15 |
transcript.pyannote[1264].start |
8212.99221875 |
transcript.pyannote[1264].end |
8214.59534375 |
transcript.pyannote[1265].speaker |
SPEAKER_02 |
transcript.pyannote[1265].start |
8222.40846875 |
transcript.pyannote[1265].end |
8224.21409375 |
transcript.pyannote[1266].speaker |
SPEAKER_02 |
transcript.pyannote[1266].start |
8224.34909375 |
transcript.pyannote[1266].end |
8228.46659375 |
transcript.pyannote[1267].speaker |
SPEAKER_02 |
transcript.pyannote[1267].start |
8228.73659375 |
transcript.pyannote[1267].end |
8229.66471875 |
transcript.pyannote[1268].speaker |
SPEAKER_15 |
transcript.pyannote[1268].start |
8230.32284375 |
transcript.pyannote[1268].end |
8231.50409375 |
transcript.pyannote[1269].speaker |
SPEAKER_02 |
transcript.pyannote[1269].start |
8240.19471875 |
transcript.pyannote[1269].end |
8280.13784375 |
transcript.pyannote[1270].speaker |
SPEAKER_02 |
transcript.pyannote[1270].start |
8280.49221875 |
transcript.pyannote[1270].end |
8326.25721875 |
transcript.pyannote[1271].speaker |
SPEAKER_16 |
transcript.pyannote[1271].start |
8327.60721875 |
transcript.pyannote[1271].end |
8327.77596875 |
transcript.pyannote[1272].speaker |
SPEAKER_16 |
transcript.pyannote[1272].start |
8328.24846875 |
transcript.pyannote[1272].end |
8331.48846875 |
transcript.pyannote[1273].speaker |
SPEAKER_16 |
transcript.pyannote[1273].start |
8332.01159375 |
transcript.pyannote[1273].end |
8335.09971875 |
transcript.pyannote[1274].speaker |
SPEAKER_02 |
transcript.pyannote[1274].start |
8335.65659375 |
transcript.pyannote[1274].end |
8353.37534375 |
transcript.pyannote[1275].speaker |
SPEAKER_25 |
transcript.pyannote[1275].start |
8354.79284375 |
transcript.pyannote[1275].end |
8354.84346875 |
transcript.pyannote[1276].speaker |
SPEAKER_25 |
transcript.pyannote[1276].start |
8354.91096875 |
transcript.pyannote[1276].end |
8356.44659375 |
transcript.pyannote[1277].speaker |
SPEAKER_25 |
transcript.pyannote[1277].start |
8356.85159375 |
transcript.pyannote[1277].end |
8382.34971875 |
transcript.pyannote[1278].speaker |
SPEAKER_02 |
transcript.pyannote[1278].start |
8382.34971875 |
transcript.pyannote[1278].end |
8382.40034375 |
transcript.pyannote[1279].speaker |
SPEAKER_25 |
transcript.pyannote[1279].start |
8382.40034375 |
transcript.pyannote[1279].end |
8382.78846875 |
transcript.pyannote[1280].speaker |
SPEAKER_02 |
transcript.pyannote[1280].start |
8382.78846875 |
transcript.pyannote[1280].end |
8403.29159375 |
transcript.pyannote[1281].speaker |
SPEAKER_02 |
transcript.pyannote[1281].start |
8403.49409375 |
transcript.pyannote[1281].end |
8444.56784375 |
transcript.pyannote[1282].speaker |
SPEAKER_02 |
transcript.pyannote[1282].start |
8444.85471875 |
transcript.pyannote[1282].end |
8469.81284375 |
transcript.pyannote[1283].speaker |
SPEAKER_25 |
transcript.pyannote[1283].start |
8469.35721875 |
transcript.pyannote[1283].end |
8470.21784375 |
transcript.pyannote[1284].speaker |
SPEAKER_02 |
transcript.pyannote[1284].start |
8470.21784375 |
transcript.pyannote[1284].end |
8504.47409375 |
transcript.pyannote[1285].speaker |
SPEAKER_02 |
transcript.pyannote[1285].start |
8505.38534375 |
transcript.pyannote[1285].end |
8511.89909375 |
transcript.pyannote[1286].speaker |
SPEAKER_27 |
transcript.pyannote[1286].start |
8511.89909375 |
transcript.pyannote[1286].end |
8511.94971875 |
transcript.pyannote[1287].speaker |
SPEAKER_27 |
transcript.pyannote[1287].start |
8513.72159375 |
transcript.pyannote[1287].end |
8516.67471875 |
transcript.pyannote[1288].speaker |
SPEAKER_27 |
transcript.pyannote[1288].start |
8517.53534375 |
transcript.pyannote[1288].end |
8524.50471875 |
transcript.pyannote[1289].speaker |
SPEAKER_02 |
transcript.pyannote[1289].start |
8517.58596875 |
transcript.pyannote[1289].end |
8518.90221875 |
transcript.pyannote[1290].speaker |
SPEAKER_02 |
transcript.pyannote[1290].start |
8519.50971875 |
transcript.pyannote[1290].end |
8519.67846875 |
transcript.pyannote[1291].speaker |
SPEAKER_02 |
transcript.pyannote[1291].start |
8519.81346875 |
transcript.pyannote[1291].end |
8520.92721875 |
transcript.pyannote[1292].speaker |
SPEAKER_02 |
transcript.pyannote[1292].start |
8523.62721875 |
transcript.pyannote[1292].end |
8523.99846875 |
transcript.pyannote[1293].speaker |
SPEAKER_27 |
transcript.pyannote[1293].start |
8524.80846875 |
transcript.pyannote[1293].end |
8529.31409375 |
transcript.pyannote[1294].speaker |
SPEAKER_02 |
transcript.pyannote[1294].start |
8528.90909375 |
transcript.pyannote[1294].end |
8547.23534375 |
transcript.pyannote[1295].speaker |
SPEAKER_02 |
transcript.pyannote[1295].start |
8548.01159375 |
transcript.pyannote[1295].end |
8548.55159375 |
transcript.pyannote[1296].speaker |
SPEAKER_02 |
transcript.pyannote[1296].start |
8548.78784375 |
transcript.pyannote[1296].end |
8550.50909375 |
transcript.pyannote[1297].speaker |
SPEAKER_02 |
transcript.pyannote[1297].start |
8550.62721875 |
transcript.pyannote[1297].end |
8558.08596875 |
transcript.pyannote[1298].speaker |
SPEAKER_02 |
transcript.pyannote[1298].start |
8558.45721875 |
transcript.pyannote[1298].end |
8579.31471875 |
transcript.pyannote[1299].speaker |
SPEAKER_02 |
transcript.pyannote[1299].start |
8579.46659375 |
transcript.pyannote[1299].end |
8603.17596875 |
transcript.pyannote[1300].speaker |
SPEAKER_02 |
transcript.pyannote[1300].start |
8603.85096875 |
transcript.pyannote[1300].end |
8604.64409375 |
transcript.pyannote[1301].speaker |
SPEAKER_02 |
transcript.pyannote[1301].start |
8605.16721875 |
transcript.pyannote[1301].end |
8606.09534375 |
transcript.pyannote[1302].speaker |
SPEAKER_02 |
transcript.pyannote[1302].start |
8606.28096875 |
transcript.pyannote[1302].end |
8616.45659375 |
transcript.pyannote[1303].speaker |
SPEAKER_02 |
transcript.pyannote[1303].start |
8616.89534375 |
transcript.pyannote[1303].end |
8631.69471875 |
transcript.pyannote[1304].speaker |
SPEAKER_02 |
transcript.pyannote[1304].start |
8632.75784375 |
transcript.pyannote[1304].end |
8634.04034375 |
transcript.pyannote[1305].speaker |
SPEAKER_02 |
transcript.pyannote[1305].start |
8634.41159375 |
transcript.pyannote[1305].end |
8635.87971875 |
transcript.pyannote[1306].speaker |
SPEAKER_02 |
transcript.pyannote[1306].start |
8636.35221875 |
transcript.pyannote[1306].end |
8685.66096875 |
transcript.pyannote[1307].speaker |
SPEAKER_02 |
transcript.pyannote[1307].start |
8686.36971875 |
transcript.pyannote[1307].end |
8687.95596875 |
transcript.pyannote[1308].speaker |
SPEAKER_16 |
transcript.pyannote[1308].start |
8686.82534375 |
transcript.pyannote[1308].end |
8702.02971875 |
transcript.pyannote[1309].speaker |
SPEAKER_02 |
transcript.pyannote[1309].start |
8698.84034375 |
transcript.pyannote[1309].end |
8699.32971875 |
transcript.pyannote[1310].speaker |
SPEAKER_02 |
transcript.pyannote[1310].start |
8702.14784375 |
transcript.pyannote[1310].end |
8711.19284375 |
transcript.pyannote[1311].speaker |
SPEAKER_02 |
transcript.pyannote[1311].start |
8711.63159375 |
transcript.pyannote[1311].end |
8712.15471875 |
transcript.pyannote[1312].speaker |
SPEAKER_02 |
transcript.pyannote[1312].start |
8712.35721875 |
transcript.pyannote[1312].end |
8714.61846875 |
transcript.pyannote[1313].speaker |
SPEAKER_02 |
transcript.pyannote[1313].start |
8714.82096875 |
transcript.pyannote[1313].end |
8715.51284375 |
transcript.pyannote[1314].speaker |
SPEAKER_25 |
transcript.pyannote[1314].start |
8715.51284375 |
transcript.pyannote[1314].end |
8715.54659375 |
transcript.pyannote[1315].speaker |
SPEAKER_25 |
transcript.pyannote[1315].start |
8717.14971875 |
transcript.pyannote[1315].end |
8729.02971875 |
transcript.pyannote[1316].speaker |
SPEAKER_20 |
transcript.pyannote[1316].start |
8725.94159375 |
transcript.pyannote[1316].end |
8726.19471875 |
transcript.pyannote[1317].speaker |
SPEAKER_02 |
transcript.pyannote[1317].start |
8729.02971875 |
transcript.pyannote[1317].end |
8739.55971875 |
transcript.pyannote[1318].speaker |
SPEAKER_02 |
transcript.pyannote[1318].start |
8739.71159375 |
transcript.pyannote[1318].end |
8804.91659375 |
transcript.pyannote[1319].speaker |
SPEAKER_02 |
transcript.pyannote[1319].start |
8805.35534375 |
transcript.pyannote[1319].end |
8828.18721875 |
transcript.pyannote[1320].speaker |
SPEAKER_02 |
transcript.pyannote[1320].start |
8828.96346875 |
transcript.pyannote[1320].end |
8840.26971875 |
transcript.pyannote[1321].speaker |
SPEAKER_27 |
transcript.pyannote[1321].start |
8840.26971875 |
transcript.pyannote[1321].end |
8840.28659375 |
transcript.pyannote[1322].speaker |
SPEAKER_02 |
transcript.pyannote[1322].start |
8840.28659375 |
transcript.pyannote[1322].end |
8840.32034375 |
transcript.pyannote[1323].speaker |
SPEAKER_02 |
transcript.pyannote[1323].start |
8840.65784375 |
transcript.pyannote[1323].end |
8840.97846875 |
transcript.pyannote[1324].speaker |
SPEAKER_27 |
transcript.pyannote[1324].start |
8840.97846875 |
transcript.pyannote[1324].end |
8855.74409375 |
transcript.pyannote[1325].speaker |
SPEAKER_28 |
transcript.pyannote[1325].start |
8847.05346875 |
transcript.pyannote[1325].end |
8847.25596875 |
transcript.pyannote[1326].speaker |
SPEAKER_27 |
transcript.pyannote[1326].start |
8856.14909375 |
transcript.pyannote[1326].end |
8857.71846875 |
transcript.pyannote[1327].speaker |
SPEAKER_27 |
transcript.pyannote[1327].start |
8858.00534375 |
transcript.pyannote[1327].end |
8861.85284375 |
transcript.pyannote[1328].speaker |
SPEAKER_27 |
transcript.pyannote[1328].start |
8862.12284375 |
transcript.pyannote[1328].end |
8875.03221875 |
transcript.pyannote[1329].speaker |
SPEAKER_02 |
transcript.pyannote[1329].start |
8875.03221875 |
transcript.pyannote[1329].end |
8875.31909375 |
transcript.pyannote[1330].speaker |
SPEAKER_27 |
transcript.pyannote[1330].start |
8875.31909375 |
transcript.pyannote[1330].end |
8875.52159375 |
transcript.pyannote[1331].speaker |
SPEAKER_02 |
transcript.pyannote[1331].start |
8875.75784375 |
transcript.pyannote[1331].end |
8876.31471875 |
transcript.pyannote[1332].speaker |
SPEAKER_02 |
transcript.pyannote[1332].start |
8876.46659375 |
transcript.pyannote[1332].end |
8886.05159375 |
transcript.pyannote[1333].speaker |
SPEAKER_02 |
transcript.pyannote[1333].start |
8886.37221875 |
transcript.pyannote[1333].end |
8891.14784375 |
transcript.pyannote[1334].speaker |
SPEAKER_02 |
transcript.pyannote[1334].start |
8891.75534375 |
transcript.pyannote[1334].end |
8900.95221875 |
transcript.pyannote[1335].speaker |
SPEAKER_02 |
transcript.pyannote[1335].start |
8901.81284375 |
transcript.pyannote[1335].end |
8913.89534375 |
transcript.pyannote[1336].speaker |
SPEAKER_02 |
transcript.pyannote[1336].start |
8914.16534375 |
transcript.pyannote[1336].end |
8915.22846875 |
transcript.pyannote[1337].speaker |
SPEAKER_02 |
transcript.pyannote[1337].start |
8915.32971875 |
transcript.pyannote[1337].end |
8916.05534375 |
transcript.pyannote[1338].speaker |
SPEAKER_15 |
transcript.pyannote[1338].start |
8916.96659375 |
transcript.pyannote[1338].end |
8917.75971875 |
transcript.pyannote[1339].speaker |
SPEAKER_15 |
transcript.pyannote[1339].start |
8920.64534375 |
transcript.pyannote[1339].end |
8922.60284375 |
transcript.pyannote[1340].speaker |
SPEAKER_24 |
transcript.pyannote[1340].start |
8942.32971875 |
transcript.pyannote[1340].end |
8943.15659375 |
transcript.pyannote[1341].speaker |
SPEAKER_24 |
transcript.pyannote[1341].start |
8943.46034375 |
transcript.pyannote[1341].end |
8946.90284375 |
transcript.pyannote[1342].speaker |
SPEAKER_24 |
transcript.pyannote[1342].start |
8952.91034375 |
transcript.pyannote[1342].end |
8953.70346875 |
transcript.pyannote[1343].speaker |
SPEAKER_24 |
transcript.pyannote[1343].start |
8953.77096875 |
transcript.pyannote[1343].end |
8953.85534375 |
transcript.pyannote[1344].speaker |
SPEAKER_24 |
transcript.pyannote[1344].start |
8953.97346875 |
transcript.pyannote[1344].end |
8954.00721875 |
transcript.pyannote[1345].speaker |
SPEAKER_24 |
transcript.pyannote[1345].start |
8955.61034375 |
transcript.pyannote[1345].end |
8956.82534375 |
transcript.pyannote[1346].speaker |
SPEAKER_24 |
transcript.pyannote[1346].start |
8956.97721875 |
transcript.pyannote[1346].end |
8957.02784375 |
transcript.pyannote[1347].speaker |
SPEAKER_04 |
transcript.pyannote[1347].start |
8977.15971875 |
transcript.pyannote[1347].end |
8979.84284375 |
transcript.pyannote[1348].speaker |
SPEAKER_30 |
transcript.pyannote[1348].start |
8979.84284375 |
transcript.pyannote[1348].end |
8982.77909375 |
transcript.pyannote[1349].speaker |
SPEAKER_04 |
transcript.pyannote[1349].start |
8980.50096875 |
transcript.pyannote[1349].end |
8981.41221875 |
transcript.pyannote[1350].speaker |
SPEAKER_04 |
transcript.pyannote[1350].start |
8982.77909375 |
transcript.pyannote[1350].end |
8983.13346875 |
transcript.pyannote[1351].speaker |
SPEAKER_04 |
transcript.pyannote[1351].start |
8983.25159375 |
transcript.pyannote[1351].end |
8985.61409375 |
transcript.pyannote[1352].speaker |
SPEAKER_04 |
transcript.pyannote[1352].start |
8986.39034375 |
transcript.pyannote[1352].end |
8986.98096875 |
transcript.pyannote[1353].speaker |
SPEAKER_21 |
transcript.pyannote[1353].start |
8989.51221875 |
transcript.pyannote[1353].end |
8989.56284375 |
transcript.pyannote[1354].speaker |
SPEAKER_04 |
transcript.pyannote[1354].start |
8989.56284375 |
transcript.pyannote[1354].end |
8989.57971875 |
transcript.pyannote[1355].speaker |
SPEAKER_21 |
transcript.pyannote[1355].start |
8989.57971875 |
transcript.pyannote[1355].end |
8989.96784375 |
transcript.pyannote[1356].speaker |
SPEAKER_04 |
transcript.pyannote[1356].start |
8989.96784375 |
transcript.pyannote[1356].end |
8989.98471875 |
transcript.pyannote[1357].speaker |
SPEAKER_21 |
transcript.pyannote[1357].start |
8989.98471875 |
transcript.pyannote[1357].end |
8990.82846875 |
transcript.pyannote[1358].speaker |
SPEAKER_04 |
transcript.pyannote[1358].start |
8990.03534375 |
transcript.pyannote[1358].end |
8991.19971875 |
transcript.pyannote[1359].speaker |
SPEAKER_04 |
transcript.pyannote[1359].start |
8992.11096875 |
transcript.pyannote[1359].end |
8993.08971875 |
transcript.pyannote[1360].speaker |
SPEAKER_04 |
transcript.pyannote[1360].start |
8993.54534375 |
transcript.pyannote[1360].end |
8994.06846875 |
transcript.pyannote[1361].speaker |
SPEAKER_04 |
transcript.pyannote[1361].start |
8994.22034375 |
transcript.pyannote[1361].end |
9007.45034375 |
transcript.pyannote[1362].speaker |
SPEAKER_03 |
transcript.pyannote[1362].start |
8995.90784375 |
transcript.pyannote[1362].end |
8996.80221875 |
transcript.pyannote[1363].speaker |
SPEAKER_30 |
transcript.pyannote[1363].start |
9006.48846875 |
transcript.pyannote[1363].end |
9007.04534375 |
transcript.pyannote[1364].speaker |
SPEAKER_04 |
transcript.pyannote[1364].start |
9007.60221875 |
transcript.pyannote[1364].end |
9009.17159375 |
transcript.pyannote[1365].speaker |
SPEAKER_04 |
transcript.pyannote[1365].start |
9009.72846875 |
transcript.pyannote[1365].end |
9018.36846875 |
transcript.pyannote[1366].speaker |
SPEAKER_32 |
transcript.pyannote[1366].start |
9013.01909375 |
transcript.pyannote[1366].end |
9013.03596875 |
transcript.pyannote[1367].speaker |
SPEAKER_30 |
transcript.pyannote[1367].start |
9013.03596875 |
transcript.pyannote[1367].end |
9014.03159375 |
transcript.pyannote[1368].speaker |
SPEAKER_30 |
transcript.pyannote[1368].start |
9014.92596875 |
transcript.pyannote[1368].end |
9015.31409375 |
transcript.pyannote[1369].speaker |
SPEAKER_04 |
transcript.pyannote[1369].start |
9019.48221875 |
transcript.pyannote[1369].end |
9019.75221875 |
transcript.pyannote[1370].speaker |
SPEAKER_31 |
transcript.pyannote[1370].start |
9019.75221875 |
transcript.pyannote[1370].end |
9023.81909375 |
transcript.pyannote[1371].speaker |
SPEAKER_04 |
transcript.pyannote[1371].start |
9019.85346875 |
transcript.pyannote[1371].end |
9019.92096875 |
transcript.pyannote[1372].speaker |
SPEAKER_04 |
transcript.pyannote[1372].start |
9019.95471875 |
transcript.pyannote[1372].end |
9021.01784375 |
transcript.pyannote[1373].speaker |
SPEAKER_04 |
transcript.pyannote[1373].start |
9023.44784375 |
transcript.pyannote[1373].end |
9025.08471875 |
transcript.pyannote[1374].speaker |
SPEAKER_04 |
transcript.pyannote[1374].start |
9025.96221875 |
transcript.pyannote[1374].end |
9026.73846875 |
transcript.pyannote[1375].speaker |
SPEAKER_04 |
transcript.pyannote[1375].start |
9027.46409375 |
transcript.pyannote[1375].end |
9027.54846875 |
transcript.pyannote[1376].speaker |
SPEAKER_12 |
transcript.pyannote[1376].start |
9027.54846875 |
transcript.pyannote[1376].end |
9028.03784375 |
transcript.pyannote[1377].speaker |
SPEAKER_04 |
transcript.pyannote[1377].start |
9028.51034375 |
transcript.pyannote[1377].end |
9030.23159375 |
transcript.pyannote[1378].speaker |
SPEAKER_31 |
transcript.pyannote[1378].start |
9028.72971875 |
transcript.pyannote[1378].end |
9028.91534375 |
transcript.pyannote[1379].speaker |
SPEAKER_31 |
transcript.pyannote[1379].start |
9029.30346875 |
transcript.pyannote[1379].end |
9029.38784375 |
transcript.pyannote[1380].speaker |
SPEAKER_19 |
transcript.pyannote[1380].start |
9029.38784375 |
transcript.pyannote[1380].end |
9029.42159375 |
transcript.pyannote[1381].speaker |
SPEAKER_28 |
transcript.pyannote[1381].start |
9029.42159375 |
transcript.pyannote[1381].end |
9029.43846875 |
transcript.pyannote[1382].speaker |
SPEAKER_04 |
transcript.pyannote[1382].start |
9030.82221875 |
transcript.pyannote[1382].end |
9031.75034375 |
transcript.pyannote[1383].speaker |
SPEAKER_12 |
transcript.pyannote[1383].start |
9032.27346875 |
transcript.pyannote[1383].end |
9033.18471875 |
transcript.pyannote[1384].speaker |
SPEAKER_04 |
transcript.pyannote[1384].start |
9033.70784375 |
transcript.pyannote[1384].end |
9034.48409375 |
transcript.pyannote[1385].speaker |
SPEAKER_12 |
transcript.pyannote[1385].start |
9035.24346875 |
transcript.pyannote[1385].end |
9036.05346875 |
transcript.pyannote[1386].speaker |
SPEAKER_30 |
transcript.pyannote[1386].start |
9036.05346875 |
transcript.pyannote[1386].end |
9047.46096875 |
transcript.pyannote[1387].speaker |
SPEAKER_04 |
transcript.pyannote[1387].start |
9036.22221875 |
transcript.pyannote[1387].end |
9036.57659375 |
transcript.pyannote[1388].speaker |
SPEAKER_12 |
transcript.pyannote[1388].start |
9036.96471875 |
transcript.pyannote[1388].end |
9037.42034375 |
transcript.pyannote[1389].speaker |
SPEAKER_04 |
transcript.pyannote[1389].start |
9037.42034375 |
transcript.pyannote[1389].end |
9037.48784375 |
transcript.pyannote[1390].speaker |
SPEAKER_12 |
transcript.pyannote[1390].start |
9037.48784375 |
transcript.pyannote[1390].end |
9037.52159375 |
transcript.pyannote[1391].speaker |
SPEAKER_04 |
transcript.pyannote[1391].start |
9037.52159375 |
transcript.pyannote[1391].end |
9037.53846875 |
transcript.pyannote[1392].speaker |
SPEAKER_12 |
transcript.pyannote[1392].start |
9037.53846875 |
transcript.pyannote[1392].end |
9037.57221875 |
transcript.pyannote[1393].speaker |
SPEAKER_04 |
transcript.pyannote[1393].start |
9037.57221875 |
transcript.pyannote[1393].end |
9037.97721875 |
transcript.pyannote[1394].speaker |
SPEAKER_17 |
transcript.pyannote[1394].start |
9037.97721875 |
transcript.pyannote[1394].end |
9038.29784375 |
transcript.pyannote[1395].speaker |
SPEAKER_04 |
transcript.pyannote[1395].start |
9038.29784375 |
transcript.pyannote[1395].end |
9038.31471875 |
transcript.pyannote[1396].speaker |
SPEAKER_17 |
transcript.pyannote[1396].start |
9038.31471875 |
transcript.pyannote[1396].end |
9038.50034375 |
transcript.pyannote[1397].speaker |
SPEAKER_04 |
transcript.pyannote[1397].start |
9038.50034375 |
transcript.pyannote[1397].end |
9038.55096875 |
transcript.pyannote[1398].speaker |
SPEAKER_12 |
transcript.pyannote[1398].start |
9038.55096875 |
transcript.pyannote[1398].end |
9038.70284375 |
transcript.pyannote[1399].speaker |
SPEAKER_04 |
transcript.pyannote[1399].start |
9038.70284375 |
transcript.pyannote[1399].end |
9038.97284375 |
transcript.pyannote[1400].speaker |
SPEAKER_17 |
transcript.pyannote[1400].start |
9038.97284375 |
transcript.pyannote[1400].end |
9039.66471875 |
transcript.pyannote[1401].speaker |
SPEAKER_17 |
transcript.pyannote[1401].start |
9039.71534375 |
transcript.pyannote[1401].end |
9039.73221875 |
transcript.pyannote[1402].speaker |
SPEAKER_04 |
transcript.pyannote[1402].start |
9039.73221875 |
transcript.pyannote[1402].end |
9039.79971875 |
transcript.pyannote[1403].speaker |
SPEAKER_17 |
transcript.pyannote[1403].start |
9040.10346875 |
transcript.pyannote[1403].end |
9040.37346875 |
transcript.pyannote[1404].speaker |
SPEAKER_24 |
transcript.pyannote[1404].start |
9040.37346875 |
transcript.pyannote[1404].end |
9040.52534375 |
transcript.pyannote[1405].speaker |
SPEAKER_17 |
transcript.pyannote[1405].start |
9040.52534375 |
transcript.pyannote[1405].end |
9040.54221875 |
transcript.pyannote[1406].speaker |
SPEAKER_24 |
transcript.pyannote[1406].start |
9040.54221875 |
transcript.pyannote[1406].end |
9040.55909375 |
transcript.pyannote[1407].speaker |
SPEAKER_17 |
transcript.pyannote[1407].start |
9040.55909375 |
transcript.pyannote[1407].end |
9040.59284375 |
transcript.pyannote[1408].speaker |
SPEAKER_24 |
transcript.pyannote[1408].start |
9042.66846875 |
transcript.pyannote[1408].end |
9042.70221875 |
transcript.pyannote[1409].speaker |
SPEAKER_24 |
transcript.pyannote[1409].start |
9045.92534375 |
transcript.pyannote[1409].end |
9045.97596875 |
transcript.pyannote[1410].speaker |
SPEAKER_24 |
transcript.pyannote[1410].start |
9046.02659375 |
transcript.pyannote[1410].end |
9046.11096875 |
transcript.pyannote[1411].speaker |
SPEAKER_31 |
transcript.pyannote[1411].start |
9046.11096875 |
transcript.pyannote[1411].end |
9046.68471875 |
transcript.pyannote[1412].speaker |
SPEAKER_24 |
transcript.pyannote[1412].start |
9046.68471875 |
transcript.pyannote[1412].end |
9046.97159375 |
transcript.pyannote[1413].speaker |
SPEAKER_31 |
transcript.pyannote[1413].start |
9046.97159375 |
transcript.pyannote[1413].end |
9047.03909375 |
transcript.pyannote[1414].speaker |
SPEAKER_24 |
transcript.pyannote[1414].start |
9047.03909375 |
transcript.pyannote[1414].end |
9052.03409375 |
transcript.pyannote[1415].speaker |
SPEAKER_31 |
transcript.pyannote[1415].start |
9047.46096875 |
transcript.pyannote[1415].end |
9047.47784375 |
transcript.pyannote[1416].speaker |
SPEAKER_30 |
transcript.pyannote[1416].start |
9050.78534375 |
transcript.pyannote[1416].end |
9051.03846875 |
transcript.pyannote[1417].speaker |
SPEAKER_28 |
transcript.pyannote[1417].start |
9051.03846875 |
transcript.pyannote[1417].end |
9051.32534375 |
transcript.pyannote[1418].speaker |
SPEAKER_28 |
transcript.pyannote[1418].start |
9052.03409375 |
transcript.pyannote[1418].end |
9052.75971875 |
transcript.pyannote[1419].speaker |
SPEAKER_24 |
transcript.pyannote[1419].start |
9052.75971875 |
transcript.pyannote[1419].end |
9052.82721875 |
transcript.pyannote[1420].speaker |
SPEAKER_28 |
transcript.pyannote[1420].start |
9052.82721875 |
transcript.pyannote[1420].end |
9052.86096875 |
transcript.pyannote[1421].speaker |
SPEAKER_24 |
transcript.pyannote[1421].start |
9052.86096875 |
transcript.pyannote[1421].end |
9052.96221875 |
transcript.pyannote[1422].speaker |
SPEAKER_28 |
transcript.pyannote[1422].start |
9052.96221875 |
transcript.pyannote[1422].end |
9054.78471875 |
transcript.pyannote[1423].speaker |
SPEAKER_24 |
transcript.pyannote[1423].start |
9053.23221875 |
transcript.pyannote[1423].end |
9053.97471875 |
transcript.pyannote[1424].speaker |
SPEAKER_20 |
transcript.pyannote[1424].start |
9053.97471875 |
transcript.pyannote[1424].end |
9054.24471875 |
transcript.pyannote[1425].speaker |
SPEAKER_20 |
transcript.pyannote[1425].start |
9054.26159375 |
transcript.pyannote[1425].end |
9054.27846875 |
transcript.pyannote[1426].speaker |
SPEAKER_24 |
transcript.pyannote[1426].start |
9054.78471875 |
transcript.pyannote[1426].end |
9054.91971875 |
transcript.pyannote[1427].speaker |
SPEAKER_15 |
transcript.pyannote[1427].start |
9320.70096875 |
transcript.pyannote[1427].end |
9324.76784375 |
transcript.pyannote[1428].speaker |
SPEAKER_15 |
transcript.pyannote[1428].start |
9324.88596875 |
transcript.pyannote[1428].end |
9327.77159375 |
transcript.pyannote[1429].speaker |
SPEAKER_01 |
transcript.pyannote[1429].start |
9340.14096875 |
transcript.pyannote[1429].end |
9341.57534375 |
transcript.pyannote[1430].speaker |
SPEAKER_01 |
transcript.pyannote[1430].start |
9341.60909375 |
transcript.pyannote[1430].end |
9342.87471875 |
transcript.pyannote[1431].speaker |
SPEAKER_01 |
transcript.pyannote[1431].start |
9342.97596875 |
transcript.pyannote[1431].end |
9344.41034375 |
transcript.pyannote[1432].speaker |
SPEAKER_01 |
transcript.pyannote[1432].start |
9345.45659375 |
transcript.pyannote[1432].end |
9346.51971875 |
transcript.pyannote[1433].speaker |
SPEAKER_01 |
transcript.pyannote[1433].start |
9347.75159375 |
transcript.pyannote[1433].end |
9348.10596875 |
transcript.pyannote[1434].speaker |
SPEAKER_15 |
transcript.pyannote[1434].start |
9348.61221875 |
transcript.pyannote[1434].end |
9349.89471875 |
transcript.pyannote[1435].speaker |
SPEAKER_01 |
transcript.pyannote[1435].start |
9350.40096875 |
transcript.pyannote[1435].end |
9351.48096875 |
transcript.pyannote[1436].speaker |
SPEAKER_01 |
transcript.pyannote[1436].start |
9351.53159375 |
transcript.pyannote[1436].end |
9352.66221875 |
transcript.pyannote[1437].speaker |
SPEAKER_01 |
transcript.pyannote[1437].start |
9353.08409375 |
transcript.pyannote[1437].end |
9353.94471875 |
transcript.pyannote[1438].speaker |
SPEAKER_15 |
transcript.pyannote[1438].start |
9354.38346875 |
transcript.pyannote[1438].end |
9355.21034375 |
transcript.pyannote[1439].speaker |
SPEAKER_01 |
transcript.pyannote[1439].start |
9360.00284375 |
transcript.pyannote[1439].end |
9361.13346875 |
transcript.pyannote[1440].speaker |
SPEAKER_01 |
transcript.pyannote[1440].start |
9363.10784375 |
transcript.pyannote[1440].end |
9363.25971875 |
transcript.pyannote[1441].speaker |
SPEAKER_01 |
transcript.pyannote[1441].start |
9364.30596875 |
transcript.pyannote[1441].end |
9365.82471875 |
transcript.pyannote[1442].speaker |
SPEAKER_01 |
transcript.pyannote[1442].start |
9365.92596875 |
transcript.pyannote[1442].end |
9366.78659375 |
transcript.pyannote[1443].speaker |
SPEAKER_01 |
transcript.pyannote[1443].start |
9367.15784375 |
transcript.pyannote[1443].end |
9369.31784375 |
transcript.pyannote[1444].speaker |
SPEAKER_01 |
transcript.pyannote[1444].start |
9370.07721875 |
transcript.pyannote[1444].end |
9370.93784375 |
transcript.pyannote[1445].speaker |
SPEAKER_01 |
transcript.pyannote[1445].start |
9372.15284375 |
transcript.pyannote[1445].end |
9373.85721875 |
transcript.pyannote[1446].speaker |
SPEAKER_01 |
transcript.pyannote[1446].start |
9374.11034375 |
transcript.pyannote[1446].end |
9375.78096875 |
transcript.pyannote[1447].speaker |
SPEAKER_01 |
transcript.pyannote[1447].start |
9376.47284375 |
transcript.pyannote[1447].end |
9379.49346875 |
transcript.pyannote[1448].speaker |
SPEAKER_01 |
transcript.pyannote[1448].start |
9380.89409375 |
transcript.pyannote[1448].end |
9381.60284375 |
transcript.pyannote[1449].speaker |
SPEAKER_01 |
transcript.pyannote[1449].start |
9381.73784375 |
transcript.pyannote[1449].end |
9382.90221875 |
transcript.pyannote[1450].speaker |
SPEAKER_01 |
transcript.pyannote[1450].start |
9383.54346875 |
transcript.pyannote[1450].end |
9384.53909375 |
transcript.pyannote[1451].speaker |
SPEAKER_01 |
transcript.pyannote[1451].start |
9384.92721875 |
transcript.pyannote[1451].end |
9386.91846875 |
transcript.pyannote[1452].speaker |
SPEAKER_01 |
transcript.pyannote[1452].start |
9387.74534375 |
transcript.pyannote[1452].end |
9388.25159375 |
transcript.pyannote[1453].speaker |
SPEAKER_01 |
transcript.pyannote[1453].start |
9388.90971875 |
transcript.pyannote[1453].end |
9392.68971875 |
transcript.pyannote[1454].speaker |
SPEAKER_01 |
transcript.pyannote[1454].start |
9393.61784375 |
transcript.pyannote[1454].end |
9394.44471875 |
transcript.pyannote[1455].speaker |
SPEAKER_01 |
transcript.pyannote[1455].start |
9394.84971875 |
transcript.pyannote[1455].end |
9396.62159375 |
transcript.pyannote[1456].speaker |
SPEAKER_01 |
transcript.pyannote[1456].start |
9397.11096875 |
transcript.pyannote[1456].end |
9399.47346875 |
transcript.pyannote[1457].speaker |
SPEAKER_01 |
transcript.pyannote[1457].start |
9400.03034375 |
transcript.pyannote[1457].end |
9401.11034375 |
transcript.pyannote[1458].speaker |
SPEAKER_01 |
transcript.pyannote[1458].start |
9402.20721875 |
transcript.pyannote[1458].end |
9402.46034375 |
transcript.pyannote[1459].speaker |
SPEAKER_01 |
transcript.pyannote[1459].start |
9402.79784375 |
transcript.pyannote[1459].end |
9404.77221875 |
transcript.pyannote[1460].speaker |
SPEAKER_01 |
transcript.pyannote[1460].start |
9406.47659375 |
transcript.pyannote[1460].end |
9408.58596875 |
transcript.pyannote[1461].speaker |
SPEAKER_01 |
transcript.pyannote[1461].start |
9409.27784375 |
transcript.pyannote[1461].end |
9411.20159375 |
transcript.pyannote[1462].speaker |
SPEAKER_01 |
transcript.pyannote[1462].start |
9412.29846875 |
transcript.pyannote[1462].end |
9413.31096875 |
transcript.pyannote[1463].speaker |
SPEAKER_01 |
transcript.pyannote[1463].start |
9413.96909375 |
transcript.pyannote[1463].end |
9414.61034375 |
transcript.pyannote[1464].speaker |
SPEAKER_01 |
transcript.pyannote[1464].start |
9415.96034375 |
transcript.pyannote[1464].end |
9418.08659375 |
transcript.pyannote[1465].speaker |
SPEAKER_01 |
transcript.pyannote[1465].start |
9419.21721875 |
transcript.pyannote[1465].end |
9419.82471875 |
transcript.pyannote[1466].speaker |
SPEAKER_01 |
transcript.pyannote[1466].start |
9420.87096875 |
transcript.pyannote[1466].end |
9421.91721875 |
transcript.pyannote[1467].speaker |
SPEAKER_01 |
transcript.pyannote[1467].start |
9423.30096875 |
transcript.pyannote[1467].end |
9424.83659375 |
transcript.pyannote[1468].speaker |
SPEAKER_01 |
transcript.pyannote[1468].start |
9425.51159375 |
transcript.pyannote[1468].end |
9426.69284375 |
transcript.pyannote[1469].speaker |
SPEAKER_01 |
transcript.pyannote[1469].start |
9427.50284375 |
transcript.pyannote[1469].end |
9428.16096875 |
transcript.pyannote[1470].speaker |
SPEAKER_01 |
transcript.pyannote[1470].start |
9429.54471875 |
transcript.pyannote[1470].end |
9431.26596875 |
transcript.pyannote[1471].speaker |
SPEAKER_01 |
transcript.pyannote[1471].start |
9432.17721875 |
transcript.pyannote[1471].end |
9432.68346875 |
transcript.pyannote[1472].speaker |
SPEAKER_01 |
transcript.pyannote[1472].start |
9433.15596875 |
transcript.pyannote[1472].end |
9433.42596875 |
transcript.pyannote[1473].speaker |
SPEAKER_01 |
transcript.pyannote[1473].start |
9434.79284375 |
transcript.pyannote[1473].end |
9437.10471875 |
transcript.pyannote[1474].speaker |
SPEAKER_01 |
transcript.pyannote[1474].start |
9437.40846875 |
transcript.pyannote[1474].end |
9437.91471875 |
transcript.pyannote[1475].speaker |
SPEAKER_01 |
transcript.pyannote[1475].start |
9438.38721875 |
transcript.pyannote[1475].end |
9438.94409375 |
transcript.pyannote[1476].speaker |
SPEAKER_27 |
transcript.pyannote[1476].start |
9440.15909375 |
transcript.pyannote[1476].end |
9444.58034375 |
transcript.pyannote[1477].speaker |
SPEAKER_27 |
transcript.pyannote[1477].start |
9444.86721875 |
transcript.pyannote[1477].end |
9446.70659375 |
transcript.pyannote[1478].speaker |
SPEAKER_27 |
transcript.pyannote[1478].start |
9447.55034375 |
transcript.pyannote[1478].end |
9447.58409375 |
transcript.pyannote[1479].speaker |
SPEAKER_01 |
transcript.pyannote[1479].start |
9447.58409375 |
transcript.pyannote[1479].end |
9448.93409375 |
transcript.pyannote[1480].speaker |
SPEAKER_01 |
transcript.pyannote[1480].start |
9450.40221875 |
transcript.pyannote[1480].end |
9451.61721875 |
transcript.pyannote[1481].speaker |
SPEAKER_01 |
transcript.pyannote[1481].start |
9452.20784375 |
transcript.pyannote[1481].end |
9453.70971875 |
transcript.pyannote[1482].speaker |
SPEAKER_01 |
transcript.pyannote[1482].start |
9454.94159375 |
transcript.pyannote[1482].end |
9455.46471875 |
transcript.pyannote[1483].speaker |
SPEAKER_01 |
transcript.pyannote[1483].start |
9456.40971875 |
transcript.pyannote[1483].end |
9457.38846875 |
transcript.pyannote[1484].speaker |
SPEAKER_01 |
transcript.pyannote[1484].start |
9459.21096875 |
transcript.pyannote[1484].end |
9460.08846875 |
transcript.pyannote[1485].speaker |
SPEAKER_01 |
transcript.pyannote[1485].start |
9460.42596875 |
transcript.pyannote[1485].end |
9463.61534375 |
transcript.pyannote[1486].speaker |
SPEAKER_01 |
transcript.pyannote[1486].start |
9464.39159375 |
transcript.pyannote[1486].end |
9465.37034375 |
transcript.pyannote[1487].speaker |
SPEAKER_01 |
transcript.pyannote[1487].start |
9466.85534375 |
transcript.pyannote[1487].end |
9467.42909375 |
transcript.pyannote[1488].speaker |
SPEAKER_01 |
transcript.pyannote[1488].start |
9467.96909375 |
transcript.pyannote[1488].end |
9468.52596875 |
transcript.pyannote[1489].speaker |
SPEAKER_01 |
transcript.pyannote[1489].start |
9469.06596875 |
transcript.pyannote[1489].end |
9471.24284375 |
transcript.pyannote[1490].speaker |
SPEAKER_01 |
transcript.pyannote[1490].start |
9472.18784375 |
transcript.pyannote[1490].end |
9473.18346875 |
transcript.pyannote[1491].speaker |
SPEAKER_01 |
transcript.pyannote[1491].start |
9473.40284375 |
transcript.pyannote[1491].end |
9473.53784375 |
transcript.pyannote[1492].speaker |
SPEAKER_01 |
transcript.pyannote[1492].start |
9475.29284375 |
transcript.pyannote[1492].end |
9477.03096875 |
transcript.pyannote[1493].speaker |
SPEAKER_01 |
transcript.pyannote[1493].start |
9477.45284375 |
transcript.pyannote[1493].end |
9478.06034375 |
transcript.pyannote[1494].speaker |
SPEAKER_01 |
transcript.pyannote[1494].start |
9478.48221875 |
transcript.pyannote[1494].end |
9481.84034375 |
transcript.pyannote[1495].speaker |
SPEAKER_01 |
transcript.pyannote[1495].start |
9482.39721875 |
transcript.pyannote[1495].end |
9483.91596875 |
transcript.pyannote[1496].speaker |
SPEAKER_01 |
transcript.pyannote[1496].start |
9484.59096875 |
transcript.pyannote[1496].end |
9485.33346875 |
transcript.pyannote[1497].speaker |
SPEAKER_01 |
transcript.pyannote[1497].start |
9486.22784375 |
transcript.pyannote[1497].end |
9486.88596875 |
transcript.pyannote[1498].speaker |
SPEAKER_01 |
transcript.pyannote[1498].start |
9487.57784375 |
transcript.pyannote[1498].end |
9488.18534375 |
transcript.pyannote[1499].speaker |
SPEAKER_01 |
transcript.pyannote[1499].start |
9489.34971875 |
transcript.pyannote[1499].end |
9489.83909375 |
transcript.pyannote[1500].speaker |
SPEAKER_01 |
transcript.pyannote[1500].start |
9490.31159375 |
transcript.pyannote[1500].end |
9491.76284375 |
transcript.pyannote[1501].speaker |
SPEAKER_01 |
transcript.pyannote[1501].start |
9492.79221875 |
transcript.pyannote[1501].end |
9497.46659375 |
transcript.pyannote[1502].speaker |
SPEAKER_01 |
transcript.pyannote[1502].start |
9499.33971875 |
transcript.pyannote[1502].end |
9500.65596875 |
transcript.pyannote[1503].speaker |
SPEAKER_01 |
transcript.pyannote[1503].start |
9500.70659375 |
transcript.pyannote[1503].end |
9502.14096875 |
transcript.pyannote[1504].speaker |
SPEAKER_01 |
transcript.pyannote[1504].start |
9503.06909375 |
transcript.pyannote[1504].end |
9503.45721875 |
transcript.pyannote[1505].speaker |
SPEAKER_01 |
transcript.pyannote[1505].start |
9503.92971875 |
transcript.pyannote[1505].end |
9505.17846875 |
transcript.pyannote[1506].speaker |
SPEAKER_01 |
transcript.pyannote[1506].start |
9506.27534375 |
transcript.pyannote[1506].end |
9507.40596875 |
transcript.pyannote[1507].speaker |
SPEAKER_01 |
transcript.pyannote[1507].start |
9508.06409375 |
transcript.pyannote[1507].end |
9510.24096875 |
transcript.pyannote[1508].speaker |
SPEAKER_01 |
transcript.pyannote[1508].start |
9510.56159375 |
transcript.pyannote[1508].end |
9510.81471875 |
transcript.pyannote[1509].speaker |
SPEAKER_01 |
transcript.pyannote[1509].start |
9511.40534375 |
transcript.pyannote[1509].end |
9512.73846875 |
transcript.pyannote[1510].speaker |
SPEAKER_01 |
transcript.pyannote[1510].start |
9513.54846875 |
transcript.pyannote[1510].end |
9515.74221875 |
transcript.pyannote[1511].speaker |
SPEAKER_01 |
transcript.pyannote[1511].start |
9516.46784375 |
transcript.pyannote[1511].end |
9521.39534375 |
transcript.pyannote[1512].speaker |
SPEAKER_01 |
transcript.pyannote[1512].start |
9521.76659375 |
transcript.pyannote[1512].end |
9524.11221875 |
transcript.pyannote[1513].speaker |
SPEAKER_01 |
transcript.pyannote[1513].start |
9524.70284375 |
transcript.pyannote[1513].end |
9527.53784375 |
transcript.pyannote[1514].speaker |
SPEAKER_01 |
transcript.pyannote[1514].start |
9528.36471875 |
transcript.pyannote[1514].end |
9530.03534375 |
transcript.pyannote[1515].speaker |
SPEAKER_01 |
transcript.pyannote[1515].start |
9530.64284375 |
transcript.pyannote[1515].end |
9536.21159375 |
transcript.pyannote[1516].speaker |
SPEAKER_01 |
transcript.pyannote[1516].start |
9536.59971875 |
transcript.pyannote[1516].end |
9538.91159375 |
transcript.pyannote[1517].speaker |
SPEAKER_01 |
transcript.pyannote[1517].start |
9539.38409375 |
transcript.pyannote[1517].end |
9541.37534375 |
transcript.pyannote[1518].speaker |
SPEAKER_01 |
transcript.pyannote[1518].start |
9542.11784375 |
transcript.pyannote[1518].end |
9544.83471875 |
transcript.pyannote[1519].speaker |
SPEAKER_01 |
transcript.pyannote[1519].start |
9545.67846875 |
transcript.pyannote[1519].end |
9547.50096875 |
transcript.pyannote[1520].speaker |
SPEAKER_01 |
transcript.pyannote[1520].start |
9549.08721875 |
transcript.pyannote[1520].end |
9550.85909375 |
transcript.pyannote[1521].speaker |
SPEAKER_01 |
transcript.pyannote[1521].start |
9551.21346875 |
transcript.pyannote[1521].end |
9551.83784375 |
transcript.pyannote[1522].speaker |
SPEAKER_01 |
transcript.pyannote[1522].start |
9552.59721875 |
transcript.pyannote[1522].end |
9556.93409375 |
transcript.pyannote[1523].speaker |
SPEAKER_01 |
transcript.pyannote[1523].start |
9557.44034375 |
transcript.pyannote[1523].end |
9560.57909375 |
transcript.pyannote[1524].speaker |
SPEAKER_01 |
transcript.pyannote[1524].start |
9561.03471875 |
transcript.pyannote[1524].end |
9565.54034375 |
transcript.pyannote[1525].speaker |
SPEAKER_01 |
transcript.pyannote[1525].start |
9565.87784375 |
transcript.pyannote[1525].end |
9572.98221875 |
transcript.pyannote[1526].speaker |
SPEAKER_01 |
transcript.pyannote[1526].start |
9573.48846875 |
transcript.pyannote[1526].end |
9575.64846875 |
transcript.pyannote[1527].speaker |
SPEAKER_01 |
transcript.pyannote[1527].start |
9576.50909375 |
transcript.pyannote[1527].end |
9577.31909375 |
transcript.pyannote[1528].speaker |
SPEAKER_01 |
transcript.pyannote[1528].start |
9578.16284375 |
transcript.pyannote[1528].end |
9579.88409375 |
transcript.pyannote[1529].speaker |
SPEAKER_01 |
transcript.pyannote[1529].start |
9580.20471875 |
transcript.pyannote[1529].end |
9581.41971875 |
transcript.pyannote[1530].speaker |
SPEAKER_01 |
transcript.pyannote[1530].start |
9582.12846875 |
transcript.pyannote[1530].end |
9584.05221875 |
transcript.pyannote[1531].speaker |
SPEAKER_01 |
transcript.pyannote[1531].start |
9585.14909375 |
transcript.pyannote[1531].end |
9585.80721875 |
transcript.pyannote[1532].speaker |
SPEAKER_01 |
transcript.pyannote[1532].start |
9586.19534375 |
transcript.pyannote[1532].end |
9586.61721875 |
transcript.pyannote[1533].speaker |
SPEAKER_01 |
transcript.pyannote[1533].start |
9588.64221875 |
transcript.pyannote[1533].end |
9589.57034375 |
transcript.pyannote[1534].speaker |
SPEAKER_01 |
transcript.pyannote[1534].start |
9590.00909375 |
transcript.pyannote[1534].end |
9590.26221875 |
transcript.pyannote[1535].speaker |
SPEAKER_01 |
transcript.pyannote[1535].start |
9590.78534375 |
transcript.pyannote[1535].end |
9592.08471875 |
transcript.pyannote[1536].speaker |
SPEAKER_01 |
transcript.pyannote[1536].start |
9593.21534375 |
transcript.pyannote[1536].end |
9594.19409375 |
transcript.pyannote[1537].speaker |
SPEAKER_01 |
transcript.pyannote[1537].start |
9594.73409375 |
transcript.pyannote[1537].end |
9595.91534375 |
transcript.pyannote[1538].speaker |
SPEAKER_01 |
transcript.pyannote[1538].start |
9596.47221875 |
transcript.pyannote[1538].end |
9596.94471875 |
transcript.pyannote[1539].speaker |
SPEAKER_01 |
transcript.pyannote[1539].start |
9597.92346875 |
transcript.pyannote[1539].end |
9599.74596875 |
transcript.pyannote[1540].speaker |
SPEAKER_01 |
transcript.pyannote[1540].start |
9600.21846875 |
transcript.pyannote[1540].end |
9601.01159375 |
transcript.pyannote[1541].speaker |
SPEAKER_01 |
transcript.pyannote[1541].start |
9601.26471875 |
transcript.pyannote[1541].end |
9601.78784375 |
transcript.pyannote[1542].speaker |
SPEAKER_01 |
transcript.pyannote[1542].start |
9602.12534375 |
transcript.pyannote[1542].end |
9603.45846875 |
transcript.pyannote[1543].speaker |
SPEAKER_01 |
transcript.pyannote[1543].start |
9603.96471875 |
transcript.pyannote[1543].end |
9605.19659375 |
transcript.pyannote[1544].speaker |
SPEAKER_01 |
transcript.pyannote[1544].start |
9606.27659375 |
transcript.pyannote[1544].end |
9608.92596875 |
transcript.pyannote[1545].speaker |
SPEAKER_01 |
transcript.pyannote[1545].start |
9610.20846875 |
transcript.pyannote[1545].end |
9612.11534375 |
transcript.pyannote[1546].speaker |
SPEAKER_01 |
transcript.pyannote[1546].start |
9612.48659375 |
transcript.pyannote[1546].end |
9613.11096875 |
transcript.pyannote[1547].speaker |
SPEAKER_01 |
transcript.pyannote[1547].start |
9613.54971875 |
transcript.pyannote[1547].end |
9615.64221875 |
transcript.pyannote[1548].speaker |
SPEAKER_01 |
transcript.pyannote[1548].start |
9617.19471875 |
transcript.pyannote[1548].end |
9619.33784375 |
transcript.pyannote[1549].speaker |
SPEAKER_01 |
transcript.pyannote[1549].start |
9619.50659375 |
transcript.pyannote[1549].end |
9624.55221875 |
transcript.pyannote[1550].speaker |
SPEAKER_01 |
transcript.pyannote[1550].start |
9624.87284375 |
transcript.pyannote[1550].end |
9625.64909375 |
transcript.pyannote[1551].speaker |
SPEAKER_01 |
transcript.pyannote[1551].start |
9626.57721875 |
transcript.pyannote[1551].end |
9627.52221875 |
transcript.pyannote[1552].speaker |
SPEAKER_01 |
transcript.pyannote[1552].start |
9627.77534375 |
transcript.pyannote[1552].end |
9629.51346875 |
transcript.pyannote[1553].speaker |
SPEAKER_01 |
transcript.pyannote[1553].start |
9630.03659375 |
transcript.pyannote[1553].end |
9631.55534375 |
transcript.pyannote[1554].speaker |
SPEAKER_01 |
transcript.pyannote[1554].start |
9632.21346875 |
transcript.pyannote[1554].end |
9633.41159375 |
transcript.pyannote[1555].speaker |
SPEAKER_01 |
transcript.pyannote[1555].start |
9633.73221875 |
transcript.pyannote[1555].end |
9636.61784375 |
transcript.pyannote[1556].speaker |
SPEAKER_01 |
transcript.pyannote[1556].start |
9637.30971875 |
transcript.pyannote[1556].end |
9638.44034375 |
transcript.pyannote[1557].speaker |
SPEAKER_01 |
transcript.pyannote[1557].start |
9638.92971875 |
transcript.pyannote[1557].end |
9642.42284375 |
transcript.pyannote[1558].speaker |
SPEAKER_01 |
transcript.pyannote[1558].start |
9643.24971875 |
transcript.pyannote[1558].end |
9644.26221875 |
transcript.pyannote[1559].speaker |
SPEAKER_01 |
transcript.pyannote[1559].start |
9644.59971875 |
transcript.pyannote[1559].end |
9645.39284375 |
transcript.pyannote[1560].speaker |
SPEAKER_01 |
transcript.pyannote[1560].start |
9646.13534375 |
transcript.pyannote[1560].end |
9647.94096875 |
transcript.pyannote[1561].speaker |
SPEAKER_01 |
transcript.pyannote[1561].start |
9648.21096875 |
transcript.pyannote[1561].end |
9649.12221875 |
transcript.pyannote[1562].speaker |
SPEAKER_01 |
transcript.pyannote[1562].start |
9649.54409375 |
transcript.pyannote[1562].end |
9650.94471875 |
transcript.pyannote[1563].speaker |
SPEAKER_01 |
transcript.pyannote[1563].start |
9651.56909375 |
transcript.pyannote[1563].end |
9659.68596875 |
transcript.pyannote[1564].speaker |
SPEAKER_01 |
transcript.pyannote[1564].start |
9659.83784375 |
transcript.pyannote[1564].end |
9661.30596875 |
transcript.pyannote[1565].speaker |
SPEAKER_01 |
transcript.pyannote[1565].start |
9661.42409375 |
transcript.pyannote[1565].end |
9662.99346875 |
transcript.pyannote[1566].speaker |
SPEAKER_01 |
transcript.pyannote[1566].start |
9663.92159375 |
transcript.pyannote[1566].end |
9664.73159375 |
transcript.pyannote[1567].speaker |
SPEAKER_01 |
transcript.pyannote[1567].start |
9664.78221875 |
transcript.pyannote[1567].end |
9664.95096875 |
transcript.pyannote[1568].speaker |
SPEAKER_01 |
transcript.pyannote[1568].start |
9666.85784375 |
transcript.pyannote[1568].end |
9667.51596875 |
transcript.pyannote[1569].speaker |
SPEAKER_01 |
transcript.pyannote[1569].start |
9667.76909375 |
transcript.pyannote[1569].end |
9669.40596875 |
transcript.pyannote[1570].speaker |
SPEAKER_01 |
transcript.pyannote[1570].start |
9670.43534375 |
transcript.pyannote[1570].end |
9672.40971875 |
transcript.pyannote[1571].speaker |
SPEAKER_01 |
transcript.pyannote[1571].start |
9674.04659375 |
transcript.pyannote[1571].end |
9675.37971875 |
transcript.pyannote[1572].speaker |
SPEAKER_01 |
transcript.pyannote[1572].start |
9676.59471875 |
transcript.pyannote[1572].end |
9678.04596875 |
transcript.pyannote[1573].speaker |
SPEAKER_01 |
transcript.pyannote[1573].start |
9678.78846875 |
transcript.pyannote[1573].end |
9680.13846875 |
transcript.pyannote[1574].speaker |
SPEAKER_01 |
transcript.pyannote[1574].start |
9680.39159375 |
transcript.pyannote[1574].end |
9682.24784375 |
transcript.pyannote[1575].speaker |
SPEAKER_01 |
transcript.pyannote[1575].start |
9683.17596875 |
transcript.pyannote[1575].end |
9686.23034375 |
transcript.pyannote[1576].speaker |
SPEAKER_01 |
transcript.pyannote[1576].start |
9687.96846875 |
transcript.pyannote[1576].end |
9689.85846875 |
transcript.pyannote[1577].speaker |
SPEAKER_01 |
transcript.pyannote[1577].start |
9690.85409375 |
transcript.pyannote[1577].end |
9691.44471875 |
transcript.pyannote[1578].speaker |
SPEAKER_01 |
transcript.pyannote[1578].start |
9692.30534375 |
transcript.pyannote[1578].end |
9694.61721875 |
transcript.pyannote[1579].speaker |
SPEAKER_01 |
transcript.pyannote[1579].start |
9695.22471875 |
transcript.pyannote[1579].end |
9698.07659375 |
transcript.pyannote[1580].speaker |
SPEAKER_01 |
transcript.pyannote[1580].start |
9699.69659375 |
transcript.pyannote[1580].end |
9702.88596875 |
transcript.pyannote[1581].speaker |
SPEAKER_01 |
transcript.pyannote[1581].start |
9703.91534375 |
transcript.pyannote[1581].end |
9705.95721875 |
transcript.pyannote[1582].speaker |
SPEAKER_01 |
transcript.pyannote[1582].start |
9708.03284375 |
transcript.pyannote[1582].end |
9709.45034375 |
transcript.pyannote[1583].speaker |
SPEAKER_01 |
transcript.pyannote[1583].start |
9709.82159375 |
transcript.pyannote[1583].end |
9711.07034375 |
transcript.pyannote[1584].speaker |
SPEAKER_01 |
transcript.pyannote[1584].start |
9711.81284375 |
transcript.pyannote[1584].end |
9713.63534375 |
transcript.pyannote[1585].speaker |
SPEAKER_01 |
transcript.pyannote[1585].start |
9715.82909375 |
transcript.pyannote[1585].end |
9717.12846875 |
transcript.pyannote[1586].speaker |
SPEAKER_01 |
transcript.pyannote[1586].start |
9717.68534375 |
transcript.pyannote[1586].end |
9718.79909375 |
transcript.pyannote[1587].speaker |
SPEAKER_01 |
transcript.pyannote[1587].start |
9719.60909375 |
transcript.pyannote[1587].end |
9720.84096875 |
transcript.pyannote[1588].speaker |
SPEAKER_01 |
transcript.pyannote[1588].start |
9721.51596875 |
transcript.pyannote[1588].end |
9723.49034375 |
transcript.pyannote[1589].speaker |
SPEAKER_01 |
transcript.pyannote[1589].start |
9724.18221875 |
transcript.pyannote[1589].end |
9724.82346875 |
transcript.pyannote[1590].speaker |
SPEAKER_01 |
transcript.pyannote[1590].start |
9725.17784375 |
transcript.pyannote[1590].end |
9725.75159375 |
transcript.pyannote[1591].speaker |
SPEAKER_01 |
transcript.pyannote[1591].start |
9726.79784375 |
transcript.pyannote[1591].end |
9728.87346875 |
transcript.pyannote[1592].speaker |
SPEAKER_01 |
transcript.pyannote[1592].start |
9729.49784375 |
transcript.pyannote[1592].end |
9730.18971875 |
transcript.pyannote[1593].speaker |
SPEAKER_01 |
transcript.pyannote[1593].start |
9730.96596875 |
transcript.pyannote[1593].end |
9732.06284375 |
transcript.pyannote[1594].speaker |
SPEAKER_01 |
transcript.pyannote[1594].start |
9732.85596875 |
transcript.pyannote[1594].end |
9734.93159375 |
transcript.pyannote[1595].speaker |
SPEAKER_01 |
transcript.pyannote[1595].start |
9734.96534375 |
transcript.pyannote[1595].end |
9736.70346875 |
transcript.pyannote[1596].speaker |
SPEAKER_01 |
transcript.pyannote[1596].start |
9737.14221875 |
transcript.pyannote[1596].end |
9738.59346875 |
transcript.pyannote[1597].speaker |
SPEAKER_01 |
transcript.pyannote[1597].start |
9739.48784375 |
transcript.pyannote[1597].end |
9740.78721875 |
transcript.pyannote[1598].speaker |
SPEAKER_01 |
transcript.pyannote[1598].start |
9740.93909375 |
transcript.pyannote[1598].end |
9741.12471875 |
transcript.pyannote[1599].speaker |
SPEAKER_01 |
transcript.pyannote[1599].start |
9742.17096875 |
transcript.pyannote[1599].end |
9743.33534375 |
transcript.pyannote[1600].speaker |
SPEAKER_01 |
transcript.pyannote[1600].start |
9743.62221875 |
transcript.pyannote[1600].end |
9744.16221875 |
transcript.pyannote[1601].speaker |
SPEAKER_01 |
transcript.pyannote[1601].start |
9744.87096875 |
transcript.pyannote[1601].end |
9745.76534375 |
transcript.pyannote[1602].speaker |
SPEAKER_01 |
transcript.pyannote[1602].start |
9747.13221875 |
transcript.pyannote[1602].end |
9749.07284375 |
transcript.pyannote[1603].speaker |
SPEAKER_01 |
transcript.pyannote[1603].start |
9749.42721875 |
transcript.pyannote[1603].end |
9752.88659375 |
transcript.pyannote[1604].speaker |
SPEAKER_01 |
transcript.pyannote[1604].start |
9753.24096875 |
transcript.pyannote[1604].end |
9755.55284375 |
transcript.pyannote[1605].speaker |
SPEAKER_01 |
transcript.pyannote[1605].start |
9756.16034375 |
transcript.pyannote[1605].end |
9758.10096875 |
transcript.pyannote[1606].speaker |
SPEAKER_01 |
transcript.pyannote[1606].start |
9758.67471875 |
transcript.pyannote[1606].end |
9759.78846875 |
transcript.pyannote[1607].speaker |
SPEAKER_01 |
transcript.pyannote[1607].start |
9760.41284375 |
transcript.pyannote[1607].end |
9762.18471875 |
transcript.pyannote[1608].speaker |
SPEAKER_01 |
transcript.pyannote[1608].start |
9762.70784375 |
transcript.pyannote[1608].end |
9764.56409375 |
transcript.pyannote[1609].speaker |
SPEAKER_01 |
transcript.pyannote[1609].start |
9765.05346875 |
transcript.pyannote[1609].end |
9766.09971875 |
transcript.pyannote[1610].speaker |
SPEAKER_01 |
transcript.pyannote[1610].start |
9767.06159375 |
transcript.pyannote[1610].end |
9767.82096875 |
transcript.pyannote[1611].speaker |
SPEAKER_01 |
transcript.pyannote[1611].start |
9768.78284375 |
transcript.pyannote[1611].end |
9770.33534375 |
transcript.pyannote[1612].speaker |
SPEAKER_01 |
transcript.pyannote[1612].start |
9770.68971875 |
transcript.pyannote[1612].end |
9771.46596875 |
transcript.pyannote[1613].speaker |
SPEAKER_01 |
transcript.pyannote[1613].start |
9772.68096875 |
transcript.pyannote[1613].end |
9773.74409375 |
transcript.pyannote[1614].speaker |
SPEAKER_01 |
transcript.pyannote[1614].start |
9774.43596875 |
transcript.pyannote[1614].end |
9776.71409375 |
transcript.pyannote[1615].speaker |
SPEAKER_01 |
transcript.pyannote[1615].start |
9777.50721875 |
transcript.pyannote[1615].end |
9779.22846875 |
transcript.pyannote[1616].speaker |
SPEAKER_01 |
transcript.pyannote[1616].start |
9779.73471875 |
transcript.pyannote[1616].end |
9780.71346875 |
transcript.pyannote[1617].speaker |
SPEAKER_01 |
transcript.pyannote[1617].start |
9781.92846875 |
transcript.pyannote[1617].end |
9782.23221875 |
transcript.pyannote[1618].speaker |
SPEAKER_01 |
transcript.pyannote[1618].start |
9782.60346875 |
transcript.pyannote[1618].end |
9783.41346875 |
transcript.pyannote[1619].speaker |
SPEAKER_01 |
transcript.pyannote[1619].start |
9783.73409375 |
transcript.pyannote[1619].end |
9784.86471875 |
transcript.pyannote[1620].speaker |
SPEAKER_01 |
transcript.pyannote[1620].start |
9785.40471875 |
transcript.pyannote[1620].end |
9786.13034375 |
transcript.pyannote[1621].speaker |
SPEAKER_01 |
transcript.pyannote[1621].start |
9786.31596875 |
transcript.pyannote[1621].end |
9786.99096875 |
transcript.pyannote[1622].speaker |
SPEAKER_01 |
transcript.pyannote[1622].start |
9787.83471875 |
transcript.pyannote[1622].end |
9788.74596875 |
transcript.pyannote[1623].speaker |
SPEAKER_01 |
transcript.pyannote[1623].start |
9789.53909375 |
transcript.pyannote[1623].end |
9790.38284375 |
transcript.pyannote[1624].speaker |
SPEAKER_01 |
transcript.pyannote[1624].start |
9791.20971875 |
transcript.pyannote[1624].end |
9791.71596875 |
transcript.pyannote[1625].speaker |
SPEAKER_01 |
transcript.pyannote[1625].start |
9791.93534375 |
transcript.pyannote[1625].end |
9793.36971875 |
transcript.pyannote[1626].speaker |
SPEAKER_01 |
transcript.pyannote[1626].start |
9793.99409375 |
transcript.pyannote[1626].end |
9795.66471875 |
transcript.pyannote[1627].speaker |
SPEAKER_01 |
transcript.pyannote[1627].start |
9796.67721875 |
transcript.pyannote[1627].end |
9797.57159375 |
transcript.pyannote[1628].speaker |
SPEAKER_01 |
transcript.pyannote[1628].start |
9797.82471875 |
transcript.pyannote[1628].end |
9799.54596875 |
transcript.pyannote[1629].speaker |
SPEAKER_01 |
transcript.pyannote[1629].start |
9799.64721875 |
transcript.pyannote[1629].end |
9800.79471875 |
transcript.pyannote[1630].speaker |
SPEAKER_01 |
transcript.pyannote[1630].start |
9801.35159375 |
transcript.pyannote[1630].end |
9802.61721875 |
transcript.pyannote[1631].speaker |
SPEAKER_01 |
transcript.pyannote[1631].start |
9803.41034375 |
transcript.pyannote[1631].end |
9804.35534375 |
transcript.pyannote[1632].speaker |
SPEAKER_01 |
transcript.pyannote[1632].start |
9804.91221875 |
transcript.pyannote[1632].end |
9806.68409375 |
transcript.pyannote[1633].speaker |
SPEAKER_01 |
transcript.pyannote[1633].start |
9807.29159375 |
transcript.pyannote[1633].end |
9809.89034375 |
transcript.pyannote[1634].speaker |
SPEAKER_01 |
transcript.pyannote[1634].start |
9810.75096875 |
transcript.pyannote[1634].end |
9812.59034375 |
transcript.pyannote[1635].speaker |
SPEAKER_01 |
transcript.pyannote[1635].start |
9813.51846875 |
transcript.pyannote[1635].end |
9814.19346875 |
transcript.pyannote[1636].speaker |
SPEAKER_27 |
transcript.pyannote[1636].start |
9814.96971875 |
transcript.pyannote[1636].end |
9828.94221875 |
transcript.pyannote[1637].speaker |
SPEAKER_27 |
transcript.pyannote[1637].start |
9829.56659375 |
transcript.pyannote[1637].end |
9837.83534375 |
transcript.pyannote[1638].speaker |
SPEAKER_27 |
transcript.pyannote[1638].start |
9838.35846875 |
transcript.pyannote[1638].end |
9858.57471875 |
transcript.pyannote[1639].speaker |
SPEAKER_01 |
transcript.pyannote[1639].start |
9858.57471875 |
transcript.pyannote[1639].end |
9858.60846875 |
transcript.pyannote[1640].speaker |
SPEAKER_27 |
transcript.pyannote[1640].start |
9859.09784375 |
transcript.pyannote[1640].end |
9859.13159375 |
transcript.pyannote[1641].speaker |
SPEAKER_01 |
transcript.pyannote[1641].start |
9859.13159375 |
transcript.pyannote[1641].end |
9861.81471875 |
transcript.pyannote[1642].speaker |
SPEAKER_01 |
transcript.pyannote[1642].start |
9862.30409375 |
transcript.pyannote[1642].end |
9867.01221875 |
transcript.pyannote[1643].speaker |
SPEAKER_01 |
transcript.pyannote[1643].start |
9868.14284375 |
transcript.pyannote[1643].end |
9868.83471875 |
transcript.pyannote[1644].speaker |
SPEAKER_01 |
transcript.pyannote[1644].start |
9870.06659375 |
transcript.pyannote[1644].end |
9873.52596875 |
transcript.pyannote[1645].speaker |
SPEAKER_01 |
transcript.pyannote[1645].start |
9873.91409375 |
transcript.pyannote[1645].end |
9876.69846875 |
transcript.pyannote[1646].speaker |
SPEAKER_01 |
transcript.pyannote[1646].start |
9876.98534375 |
transcript.pyannote[1646].end |
9877.67721875 |
transcript.pyannote[1647].speaker |
SPEAKER_01 |
transcript.pyannote[1647].start |
9877.91346875 |
transcript.pyannote[1647].end |
9879.31409375 |
transcript.pyannote[1648].speaker |
SPEAKER_01 |
transcript.pyannote[1648].start |
9880.07346875 |
transcript.pyannote[1648].end |
9883.75221875 |
transcript.pyannote[1649].speaker |
SPEAKER_01 |
transcript.pyannote[1649].start |
9884.35971875 |
transcript.pyannote[1649].end |
9886.26659375 |
transcript.pyannote[1650].speaker |
SPEAKER_01 |
transcript.pyannote[1650].start |
9886.90784375 |
transcript.pyannote[1650].end |
9888.19034375 |
transcript.pyannote[1651].speaker |
SPEAKER_01 |
transcript.pyannote[1651].start |
9888.66284375 |
transcript.pyannote[1651].end |
9889.82721875 |
transcript.pyannote[1652].speaker |
SPEAKER_01 |
transcript.pyannote[1652].start |
9890.53596875 |
transcript.pyannote[1652].end |
9891.83534375 |
transcript.pyannote[1653].speaker |
SPEAKER_01 |
transcript.pyannote[1653].start |
9892.76346875 |
transcript.pyannote[1653].end |
9894.48471875 |
transcript.pyannote[1654].speaker |
SPEAKER_01 |
transcript.pyannote[1654].start |
9894.97409375 |
transcript.pyannote[1654].end |
9896.88096875 |
transcript.pyannote[1655].speaker |
SPEAKER_01 |
transcript.pyannote[1655].start |
9897.21846875 |
transcript.pyannote[1655].end |
9900.94784375 |
transcript.pyannote[1656].speaker |
SPEAKER_01 |
transcript.pyannote[1656].start |
9901.42034375 |
transcript.pyannote[1656].end |
9907.73159375 |
transcript.pyannote[1657].speaker |
SPEAKER_28 |
transcript.pyannote[1657].start |
9908.00159375 |
transcript.pyannote[1657].end |
9908.47409375 |
transcript.pyannote[1658].speaker |
SPEAKER_01 |
transcript.pyannote[1658].start |
9908.20409375 |
transcript.pyannote[1658].end |
9909.45284375 |
transcript.pyannote[1659].speaker |
SPEAKER_26 |
transcript.pyannote[1659].start |
9908.47409375 |
transcript.pyannote[1659].end |
9908.49096875 |
transcript.pyannote[1660].speaker |
SPEAKER_26 |
transcript.pyannote[1660].start |
9909.45284375 |
transcript.pyannote[1660].end |
9909.46971875 |
transcript.pyannote[1661].speaker |
SPEAKER_01 |
transcript.pyannote[1661].start |
9910.04346875 |
transcript.pyannote[1661].end |
9910.97159375 |
transcript.pyannote[1662].speaker |
SPEAKER_26 |
transcript.pyannote[1662].start |
9910.97159375 |
transcript.pyannote[1662].end |
9916.79346875 |
transcript.pyannote[1663].speaker |
SPEAKER_26 |
transcript.pyannote[1663].start |
9916.99596875 |
transcript.pyannote[1663].end |
9933.31409375 |
transcript.pyannote[1664].speaker |
SPEAKER_26 |
transcript.pyannote[1664].start |
9933.88784375 |
transcript.pyannote[1664].end |
9960.80346875 |
transcript.pyannote[1665].speaker |
SPEAKER_26 |
transcript.pyannote[1665].start |
9961.00596875 |
transcript.pyannote[1665].end |
9972.26159375 |
transcript.pyannote[1666].speaker |
SPEAKER_01 |
transcript.pyannote[1666].start |
9972.26159375 |
transcript.pyannote[1666].end |
9972.29534375 |
transcript.pyannote[1667].speaker |
SPEAKER_26 |
transcript.pyannote[1667].start |
9972.29534375 |
transcript.pyannote[1667].end |
9972.31221875 |
transcript.pyannote[1668].speaker |
SPEAKER_01 |
transcript.pyannote[1668].start |
9972.31221875 |
transcript.pyannote[1668].end |
9972.36284375 |
transcript.pyannote[1669].speaker |
SPEAKER_26 |
transcript.pyannote[1669].start |
9972.36284375 |
transcript.pyannote[1669].end |
9972.46409375 |
transcript.pyannote[1670].speaker |
SPEAKER_01 |
transcript.pyannote[1670].start |
9972.46409375 |
transcript.pyannote[1670].end |
9972.48096875 |
transcript.pyannote[1671].speaker |
SPEAKER_26 |
transcript.pyannote[1671].start |
9972.48096875 |
transcript.pyannote[1671].end |
9972.97034375 |
transcript.pyannote[1672].speaker |
SPEAKER_01 |
transcript.pyannote[1672].start |
9972.97034375 |
transcript.pyannote[1672].end |
9985.32284375 |
transcript.pyannote[1673].speaker |
SPEAKER_15 |
transcript.pyannote[1673].start |
9986.23409375 |
transcript.pyannote[1673].end |
9987.02721875 |
transcript.pyannote[1674].speaker |
SPEAKER_15 |
transcript.pyannote[1674].start |
9990.04784375 |
transcript.pyannote[1674].end |
9998.73846875 |
transcript.pyannote[1675].speaker |
SPEAKER_15 |
transcript.pyannote[1675].start |
9998.94096875 |
transcript.pyannote[1675].end |
10014.04409375 |
transcript.pyannote[1676].speaker |
SPEAKER_13 |
transcript.pyannote[1676].start |
10019.81534375 |
transcript.pyannote[1676].end |
10024.45596875 |
transcript.pyannote[1677].speaker |
SPEAKER_13 |
transcript.pyannote[1677].start |
10026.95346875 |
transcript.pyannote[1677].end |
10037.83784375 |
transcript.pyannote[1678].speaker |
SPEAKER_16 |
transcript.pyannote[1678].start |
10038.81659375 |
transcript.pyannote[1678].end |
10040.01471875 |
transcript.pyannote[1679].speaker |
SPEAKER_16 |
transcript.pyannote[1679].start |
10040.35221875 |
transcript.pyannote[1679].end |
10043.10284375 |
transcript.pyannote[1680].speaker |
SPEAKER_13 |
transcript.pyannote[1680].start |
10042.91721875 |
transcript.pyannote[1680].end |
10088.02409375 |
transcript.pyannote[1681].speaker |
SPEAKER_16 |
transcript.pyannote[1681].start |
10043.59221875 |
transcript.pyannote[1681].end |
10043.62596875 |
transcript.pyannote[1682].speaker |
SPEAKER_16 |
transcript.pyannote[1682].start |
10043.64284375 |
transcript.pyannote[1682].end |
10044.06471875 |
transcript.pyannote[1683].speaker |
SPEAKER_00 |
transcript.pyannote[1683].start |
10053.64971875 |
transcript.pyannote[1683].end |
10054.17284375 |
transcript.pyannote[1684].speaker |
SPEAKER_16 |
transcript.pyannote[1684].start |
10088.81721875 |
transcript.pyannote[1684].end |
10089.20534375 |
transcript.pyannote[1685].speaker |
SPEAKER_16 |
transcript.pyannote[1685].start |
10089.32346875 |
transcript.pyannote[1685].end |
10089.42471875 |
transcript.pyannote[1686].speaker |
SPEAKER_16 |
transcript.pyannote[1686].start |
10089.57659375 |
transcript.pyannote[1686].end |
10090.75784375 |
transcript.pyannote[1687].speaker |
SPEAKER_13 |
transcript.pyannote[1687].start |
10090.82534375 |
transcript.pyannote[1687].end |
10091.82096875 |
transcript.pyannote[1688].speaker |
SPEAKER_13 |
transcript.pyannote[1688].start |
10091.97284375 |
transcript.pyannote[1688].end |
10116.82971875 |
transcript.pyannote[1689].speaker |
SPEAKER_16 |
transcript.pyannote[1689].start |
10118.24721875 |
transcript.pyannote[1689].end |
10118.73659375 |
transcript.pyannote[1690].speaker |
SPEAKER_16 |
transcript.pyannote[1690].start |
10119.07409375 |
transcript.pyannote[1690].end |
10120.89659375 |
transcript.pyannote[1691].speaker |
SPEAKER_16 |
transcript.pyannote[1691].start |
10121.26784375 |
transcript.pyannote[1691].end |
10124.28846875 |
transcript.pyannote[1692].speaker |
SPEAKER_13 |
transcript.pyannote[1692].start |
10124.28846875 |
transcript.pyannote[1692].end |
10134.05909375 |
transcript.pyannote[1693].speaker |
SPEAKER_16 |
transcript.pyannote[1693].start |
10134.64971875 |
transcript.pyannote[1693].end |
10144.69034375 |
transcript.pyannote[1694].speaker |
SPEAKER_13 |
transcript.pyannote[1694].start |
10140.65721875 |
transcript.pyannote[1694].end |
10140.74159375 |
transcript.pyannote[1695].speaker |
SPEAKER_13 |
transcript.pyannote[1695].start |
10144.69034375 |
transcript.pyannote[1695].end |
10186.25346875 |
transcript.pyannote[1696].speaker |
SPEAKER_16 |
transcript.pyannote[1696].start |
10144.96034375 |
transcript.pyannote[1696].end |
10144.99409375 |
transcript.pyannote[1697].speaker |
SPEAKER_16 |
transcript.pyannote[1697].start |
10186.30409375 |
transcript.pyannote[1697].end |
10194.67409375 |
transcript.pyannote[1698].speaker |
SPEAKER_23 |
transcript.pyannote[1698].start |
10193.45909375 |
transcript.pyannote[1698].end |
10193.93159375 |
transcript.pyannote[1699].speaker |
SPEAKER_16 |
transcript.pyannote[1699].start |
10194.89346875 |
transcript.pyannote[1699].end |
10204.78221875 |
transcript.pyannote[1700].speaker |
SPEAKER_13 |
transcript.pyannote[1700].start |
10201.86284375 |
transcript.pyannote[1700].end |
10203.36471875 |
transcript.pyannote[1701].speaker |
SPEAKER_13 |
transcript.pyannote[1701].start |
10204.17471875 |
transcript.pyannote[1701].end |
10214.04659375 |
transcript.pyannote[1702].speaker |
SPEAKER_13 |
transcript.pyannote[1702].start |
10214.85659375 |
transcript.pyannote[1702].end |
10217.59034375 |
transcript.pyannote[1703].speaker |
SPEAKER_13 |
transcript.pyannote[1703].start |
10219.21034375 |
transcript.pyannote[1703].end |
10219.91909375 |
transcript.pyannote[1704].speaker |
SPEAKER_13 |
transcript.pyannote[1704].start |
10222.75409375 |
transcript.pyannote[1704].end |
10270.72971875 |
transcript.pyannote[1705].speaker |
SPEAKER_13 |
transcript.pyannote[1705].start |
10270.84784375 |
transcript.pyannote[1705].end |
10319.24534375 |
transcript.pyannote[1706].speaker |
SPEAKER_27 |
transcript.pyannote[1706].start |
10320.67971875 |
transcript.pyannote[1706].end |
10322.16471875 |
transcript.pyannote[1707].speaker |
SPEAKER_27 |
transcript.pyannote[1707].start |
10323.07596875 |
transcript.pyannote[1707].end |
10327.96971875 |
transcript.pyannote[1708].speaker |
SPEAKER_27 |
transcript.pyannote[1708].start |
10328.29034375 |
transcript.pyannote[1708].end |
10330.28159375 |
transcript.pyannote[1709].speaker |
SPEAKER_13 |
transcript.pyannote[1709].start |
10331.93534375 |
transcript.pyannote[1709].end |
10353.88971875 |
transcript.pyannote[1710].speaker |
SPEAKER_13 |
transcript.pyannote[1710].start |
10353.95721875 |
transcript.pyannote[1710].end |
10353.97409375 |
transcript.pyannote[1711].speaker |
SPEAKER_27 |
transcript.pyannote[1711].start |
10353.97409375 |
transcript.pyannote[1711].end |
10354.00784375 |
transcript.pyannote[1712].speaker |
SPEAKER_13 |
transcript.pyannote[1712].start |
10354.00784375 |
transcript.pyannote[1712].end |
10354.02471875 |
transcript.pyannote[1713].speaker |
SPEAKER_27 |
transcript.pyannote[1713].start |
10354.02471875 |
transcript.pyannote[1713].end |
10356.67409375 |
transcript.pyannote[1714].speaker |
SPEAKER_13 |
transcript.pyannote[1714].start |
10357.83846875 |
transcript.pyannote[1714].end |
10370.15721875 |
transcript.pyannote[1715].speaker |
SPEAKER_27 |
transcript.pyannote[1715].start |
10370.15721875 |
transcript.pyannote[1715].end |
10374.03846875 |
transcript.pyannote[1716].speaker |
SPEAKER_13 |
transcript.pyannote[1716].start |
10374.94971875 |
transcript.pyannote[1716].end |
10389.59721875 |
transcript.pyannote[1717].speaker |
SPEAKER_27 |
transcript.pyannote[1717].start |
10375.82721875 |
transcript.pyannote[1717].end |
10377.93659375 |
transcript.pyannote[1718].speaker |
SPEAKER_27 |
transcript.pyannote[1718].start |
10389.59721875 |
transcript.pyannote[1718].end |
10392.68534375 |
transcript.pyannote[1719].speaker |
SPEAKER_13 |
transcript.pyannote[1719].start |
10392.31409375 |
transcript.pyannote[1719].end |
10410.45471875 |
transcript.pyannote[1720].speaker |
SPEAKER_27 |
transcript.pyannote[1720].start |
10412.05784375 |
transcript.pyannote[1720].end |
10413.82971875 |
transcript.pyannote[1721].speaker |
SPEAKER_13 |
transcript.pyannote[1721].start |
10412.12534375 |
transcript.pyannote[1721].end |
10412.53034375 |
transcript.pyannote[1722].speaker |
SPEAKER_27 |
transcript.pyannote[1722].start |
10414.31909375 |
transcript.pyannote[1722].end |
10416.66471875 |
transcript.pyannote[1723].speaker |
SPEAKER_27 |
transcript.pyannote[1723].start |
10418.03159375 |
transcript.pyannote[1723].end |
10421.74409375 |
transcript.pyannote[1724].speaker |
SPEAKER_27 |
transcript.pyannote[1724].start |
10421.96346875 |
transcript.pyannote[1724].end |
10423.24596875 |
transcript.pyannote[1725].speaker |
SPEAKER_13 |
transcript.pyannote[1725].start |
10423.24596875 |
transcript.pyannote[1725].end |
10424.37659375 |
transcript.pyannote[1726].speaker |
SPEAKER_13 |
transcript.pyannote[1726].start |
10424.95034375 |
transcript.pyannote[1726].end |
10464.16784375 |
transcript.pyannote[1727].speaker |
SPEAKER_13 |
transcript.pyannote[1727].start |
10464.70784375 |
transcript.pyannote[1727].end |
10472.14971875 |
transcript.pyannote[1728].speaker |
SPEAKER_13 |
transcript.pyannote[1728].start |
10473.16221875 |
transcript.pyannote[1728].end |
10474.61346875 |
transcript.pyannote[1729].speaker |
SPEAKER_27 |
transcript.pyannote[1729].start |
10475.45721875 |
transcript.pyannote[1729].end |
10483.05096875 |
transcript.pyannote[1730].speaker |
SPEAKER_27 |
transcript.pyannote[1730].start |
10483.57409375 |
transcript.pyannote[1730].end |
10493.98596875 |
transcript.pyannote[1731].speaker |
SPEAKER_13 |
transcript.pyannote[1731].start |
10494.20534375 |
transcript.pyannote[1731].end |
10500.66846875 |
transcript.pyannote[1732].speaker |
SPEAKER_27 |
transcript.pyannote[1732].start |
10494.23909375 |
transcript.pyannote[1732].end |
10495.79159375 |
transcript.pyannote[1733].speaker |
SPEAKER_27 |
transcript.pyannote[1733].start |
10501.03971875 |
transcript.pyannote[1733].end |
10501.07346875 |
transcript.pyannote[1734].speaker |
SPEAKER_13 |
transcript.pyannote[1734].start |
10501.07346875 |
transcript.pyannote[1734].end |
10561.90784375 |
transcript.pyannote[1735].speaker |
SPEAKER_27 |
transcript.pyannote[1735].start |
10501.74846875 |
transcript.pyannote[1735].end |
10503.30096875 |
transcript.pyannote[1736].speaker |
SPEAKER_27 |
transcript.pyannote[1736].start |
10503.35159375 |
transcript.pyannote[1736].end |
10503.94221875 |
transcript.pyannote[1737].speaker |
SPEAKER_27 |
transcript.pyannote[1737].start |
10506.15284375 |
transcript.pyannote[1737].end |
10506.22034375 |
transcript.pyannote[1738].speaker |
SPEAKER_28 |
transcript.pyannote[1738].start |
10506.22034375 |
transcript.pyannote[1738].end |
10507.14846875 |
transcript.pyannote[1739].speaker |
SPEAKER_00 |
transcript.pyannote[1739].start |
10507.14846875 |
transcript.pyannote[1739].end |
10507.36784375 |
transcript.pyannote[1740].speaker |
SPEAKER_00 |
transcript.pyannote[1740].start |
10507.73909375 |
transcript.pyannote[1740].end |
10508.07659375 |
transcript.pyannote[1741].speaker |
SPEAKER_27 |
transcript.pyannote[1741].start |
10562.43096875 |
transcript.pyannote[1741].end |
10569.60284375 |
transcript.pyannote[1742].speaker |
SPEAKER_13 |
transcript.pyannote[1742].start |
10566.81846875 |
transcript.pyannote[1742].end |
10570.86846875 |
transcript.pyannote[1743].speaker |
SPEAKER_13 |
transcript.pyannote[1743].start |
10571.12159375 |
transcript.pyannote[1743].end |
10580.45346875 |
transcript.pyannote[1744].speaker |
SPEAKER_27 |
transcript.pyannote[1744].start |
10579.49159375 |
transcript.pyannote[1744].end |
10582.86659375 |
transcript.pyannote[1745].speaker |
SPEAKER_15 |
transcript.pyannote[1745].start |
10584.23346875 |
transcript.pyannote[1745].end |
10585.02659375 |
transcript.pyannote[1746].speaker |
SPEAKER_15 |
transcript.pyannote[1746].start |
10588.06409375 |
transcript.pyannote[1746].end |
10588.51971875 |
transcript.pyannote[1747].speaker |
SPEAKER_15 |
transcript.pyannote[1747].start |
10589.04284375 |
transcript.pyannote[1747].end |
10598.07096875 |
transcript.pyannote[1748].speaker |
SPEAKER_32 |
transcript.pyannote[1748].start |
10606.18784375 |
transcript.pyannote[1748].end |
10609.00596875 |
transcript.pyannote[1749].speaker |
SPEAKER_15 |
transcript.pyannote[1749].start |
10609.98471875 |
transcript.pyannote[1749].end |
10611.82409375 |
transcript.pyannote[1750].speaker |
SPEAKER_34 |
transcript.pyannote[1750].start |
10620.31221875 |
transcript.pyannote[1750].end |
10625.88096875 |
transcript.pyannote[1751].speaker |
SPEAKER_34 |
transcript.pyannote[1751].start |
10626.23534375 |
transcript.pyannote[1751].end |
10636.15784375 |
transcript.pyannote[1752].speaker |
SPEAKER_34 |
transcript.pyannote[1752].start |
10636.22534375 |
transcript.pyannote[1752].end |
10638.26721875 |
transcript.pyannote[1753].speaker |
SPEAKER_34 |
transcript.pyannote[1753].start |
10639.75221875 |
transcript.pyannote[1753].end |
10642.33409375 |
transcript.pyannote[1754].speaker |
SPEAKER_34 |
transcript.pyannote[1754].start |
10643.02596875 |
transcript.pyannote[1754].end |
10643.68409375 |
transcript.pyannote[1755].speaker |
SPEAKER_34 |
transcript.pyannote[1755].start |
10644.51096875 |
transcript.pyannote[1755].end |
10644.79784375 |
transcript.pyannote[1756].speaker |
SPEAKER_34 |
transcript.pyannote[1756].start |
10645.38846875 |
transcript.pyannote[1756].end |
10648.61159375 |
transcript.pyannote[1757].speaker |
SPEAKER_34 |
transcript.pyannote[1757].start |
10648.93221875 |
transcript.pyannote[1757].end |
10649.74221875 |
transcript.pyannote[1758].speaker |
SPEAKER_15 |
transcript.pyannote[1758].start |
10649.59034375 |
transcript.pyannote[1758].end |
10650.78846875 |
transcript.pyannote[1759].speaker |
SPEAKER_34 |
transcript.pyannote[1759].start |
10650.97409375 |
transcript.pyannote[1759].end |
10651.21034375 |
transcript.pyannote[1760].speaker |
SPEAKER_34 |
transcript.pyannote[1760].start |
10651.46346875 |
transcript.pyannote[1760].end |
10654.58534375 |
transcript.pyannote[1761].speaker |
SPEAKER_34 |
transcript.pyannote[1761].start |
10655.59784375 |
transcript.pyannote[1761].end |
10655.61471875 |
transcript.pyannote[1762].speaker |
SPEAKER_17 |
transcript.pyannote[1762].start |
10655.61471875 |
transcript.pyannote[1762].end |
10656.69471875 |
transcript.pyannote[1763].speaker |
SPEAKER_17 |
transcript.pyannote[1763].start |
10657.23471875 |
transcript.pyannote[1763].end |
10657.99409375 |
transcript.pyannote[1764].speaker |
SPEAKER_17 |
transcript.pyannote[1764].start |
10658.19659375 |
transcript.pyannote[1764].end |
10658.36534375 |
transcript.pyannote[1765].speaker |
SPEAKER_17 |
transcript.pyannote[1765].start |
10659.00659375 |
transcript.pyannote[1765].end |
10660.74471875 |
transcript.pyannote[1766].speaker |
SPEAKER_17 |
transcript.pyannote[1766].start |
10660.96409375 |
transcript.pyannote[1766].end |
10665.97596875 |
transcript.pyannote[1767].speaker |
SPEAKER_34 |
transcript.pyannote[1767].start |
10664.54159375 |
transcript.pyannote[1767].end |
10674.44721875 |
transcript.pyannote[1768].speaker |
SPEAKER_34 |
transcript.pyannote[1768].start |
10674.83534375 |
transcript.pyannote[1768].end |
10678.22721875 |
transcript.pyannote[1769].speaker |
SPEAKER_34 |
transcript.pyannote[1769].start |
10678.31159375 |
transcript.pyannote[1769].end |
10678.81784375 |
transcript.pyannote[1770].speaker |
SPEAKER_17 |
transcript.pyannote[1770].start |
10678.81784375 |
transcript.pyannote[1770].end |
10679.02034375 |
transcript.pyannote[1771].speaker |
SPEAKER_34 |
transcript.pyannote[1771].start |
10679.02034375 |
transcript.pyannote[1771].end |
10679.03721875 |
transcript.pyannote[1772].speaker |
SPEAKER_17 |
transcript.pyannote[1772].start |
10679.03721875 |
transcript.pyannote[1772].end |
10702.30784375 |
transcript.pyannote[1773].speaker |
SPEAKER_34 |
transcript.pyannote[1773].start |
10679.08784375 |
transcript.pyannote[1773].end |
10679.49284375 |
transcript.pyannote[1774].speaker |
SPEAKER_34 |
transcript.pyannote[1774].start |
10679.94846875 |
transcript.pyannote[1774].end |
10680.40409375 |
transcript.pyannote[1775].speaker |
SPEAKER_34 |
transcript.pyannote[1775].start |
10692.23346875 |
transcript.pyannote[1775].end |
10692.75659375 |
transcript.pyannote[1776].speaker |
SPEAKER_34 |
transcript.pyannote[1776].start |
10694.42721875 |
transcript.pyannote[1776].end |
10695.84471875 |
transcript.pyannote[1777].speaker |
SPEAKER_17 |
transcript.pyannote[1777].start |
10702.37534375 |
transcript.pyannote[1777].end |
10703.03346875 |
transcript.pyannote[1778].speaker |
SPEAKER_34 |
transcript.pyannote[1778].start |
10703.03346875 |
transcript.pyannote[1778].end |
10706.34096875 |
transcript.pyannote[1779].speaker |
SPEAKER_34 |
transcript.pyannote[1779].start |
10706.64471875 |
transcript.pyannote[1779].end |
10706.88096875 |
transcript.pyannote[1780].speaker |
SPEAKER_34 |
transcript.pyannote[1780].start |
10707.55596875 |
transcript.pyannote[1780].end |
10710.77909375 |
transcript.pyannote[1781].speaker |
SPEAKER_34 |
transcript.pyannote[1781].start |
10711.62284375 |
transcript.pyannote[1781].end |
10714.18784375 |
transcript.pyannote[1782].speaker |
SPEAKER_34 |
transcript.pyannote[1782].start |
10714.52534375 |
transcript.pyannote[1782].end |
10714.82909375 |
transcript.pyannote[1783].speaker |
SPEAKER_34 |
transcript.pyannote[1783].start |
10715.23409375 |
transcript.pyannote[1783].end |
10717.47846875 |
transcript.pyannote[1784].speaker |
SPEAKER_34 |
transcript.pyannote[1784].start |
10719.73971875 |
transcript.pyannote[1784].end |
10732.53096875 |
transcript.pyannote[1785].speaker |
SPEAKER_34 |
transcript.pyannote[1785].start |
10732.76721875 |
transcript.pyannote[1785].end |
10736.02409375 |
transcript.pyannote[1786].speaker |
SPEAKER_30 |
transcript.pyannote[1786].start |
10734.62346875 |
transcript.pyannote[1786].end |
10734.92721875 |
transcript.pyannote[1787].speaker |
SPEAKER_30 |
transcript.pyannote[1787].start |
10736.17596875 |
transcript.pyannote[1787].end |
10736.26034375 |
transcript.pyannote[1788].speaker |
SPEAKER_26 |
transcript.pyannote[1788].start |
10736.26034375 |
transcript.pyannote[1788].end |
10736.49659375 |
transcript.pyannote[1789].speaker |
SPEAKER_30 |
transcript.pyannote[1789].start |
10736.49659375 |
transcript.pyannote[1789].end |
10736.54721875 |
transcript.pyannote[1790].speaker |
SPEAKER_34 |
transcript.pyannote[1790].start |
10736.66534375 |
transcript.pyannote[1790].end |
10738.90971875 |
transcript.pyannote[1791].speaker |
SPEAKER_34 |
transcript.pyannote[1791].start |
10739.93909375 |
transcript.pyannote[1791].end |
10741.05284375 |
transcript.pyannote[1792].speaker |
SPEAKER_33 |
transcript.pyannote[1792].start |
10741.05284375 |
transcript.pyannote[1792].end |
10741.06971875 |
transcript.pyannote[1793].speaker |
SPEAKER_33 |
transcript.pyannote[1793].start |
10742.77409375 |
transcript.pyannote[1793].end |
10743.29721875 |
transcript.pyannote[1794].speaker |
SPEAKER_33 |
transcript.pyannote[1794].start |
10743.56721875 |
transcript.pyannote[1794].end |
10746.79034375 |
transcript.pyannote[1795].speaker |
SPEAKER_24 |
transcript.pyannote[1795].start |
10746.79034375 |
transcript.pyannote[1795].end |
10746.82409375 |
transcript.pyannote[1796].speaker |
SPEAKER_33 |
transcript.pyannote[1796].start |
10746.82409375 |
transcript.pyannote[1796].end |
10747.97159375 |
transcript.pyannote[1797].speaker |
SPEAKER_34 |
transcript.pyannote[1797].start |
10747.34721875 |
transcript.pyannote[1797].end |
10748.32596875 |
transcript.pyannote[1798].speaker |
SPEAKER_24 |
transcript.pyannote[1798].start |
10747.97159375 |
transcript.pyannote[1798].end |
10748.27534375 |
transcript.pyannote[1799].speaker |
SPEAKER_24 |
transcript.pyannote[1799].start |
10748.32596875 |
transcript.pyannote[1799].end |
10749.25409375 |
transcript.pyannote[1800].speaker |
SPEAKER_34 |
transcript.pyannote[1800].start |
10749.25409375 |
transcript.pyannote[1800].end |
10749.96284375 |
transcript.pyannote[1801].speaker |
SPEAKER_24 |
transcript.pyannote[1801].start |
10749.28784375 |
transcript.pyannote[1801].end |
10753.55721875 |
transcript.pyannote[1802].speaker |
SPEAKER_34 |
transcript.pyannote[1802].start |
10750.43534375 |
transcript.pyannote[1802].end |
10751.02596875 |
transcript.pyannote[1803].speaker |
SPEAKER_34 |
transcript.pyannote[1803].start |
10753.28721875 |
transcript.pyannote[1803].end |
10761.89346875 |
transcript.pyannote[1804].speaker |
SPEAKER_34 |
transcript.pyannote[1804].start |
10762.90596875 |
transcript.pyannote[1804].end |
10763.39534375 |
transcript.pyannote[1805].speaker |
SPEAKER_34 |
transcript.pyannote[1805].start |
10763.59784375 |
transcript.pyannote[1805].end |
10764.94784375 |
transcript.pyannote[1806].speaker |
SPEAKER_34 |
transcript.pyannote[1806].start |
10765.43721875 |
transcript.pyannote[1806].end |
10766.88846875 |
transcript.pyannote[1807].speaker |
SPEAKER_34 |
transcript.pyannote[1807].start |
10767.44534375 |
transcript.pyannote[1807].end |
10768.55909375 |
transcript.pyannote[1808].speaker |
SPEAKER_34 |
transcript.pyannote[1808].start |
10768.59284375 |
transcript.pyannote[1808].end |
10769.08221875 |
transcript.pyannote[1809].speaker |
SPEAKER_34 |
transcript.pyannote[1809].start |
10769.33534375 |
transcript.pyannote[1809].end |
10770.28034375 |
transcript.pyannote[1810].speaker |
SPEAKER_15 |
transcript.pyannote[1810].start |
10772.84534375 |
transcript.pyannote[1810].end |
10773.72284375 |
transcript.pyannote[1811].speaker |
SPEAKER_34 |
transcript.pyannote[1811].start |
10776.33846875 |
transcript.pyannote[1811].end |
10782.17721875 |
transcript.pyannote[1812].speaker |
SPEAKER_34 |
transcript.pyannote[1812].start |
10782.98721875 |
transcript.pyannote[1812].end |
10783.56096875 |
transcript.pyannote[1813].speaker |
SPEAKER_34 |
transcript.pyannote[1813].start |
10784.18534375 |
transcript.pyannote[1813].end |
10788.97784375 |
transcript.pyannote[1814].speaker |
SPEAKER_34 |
transcript.pyannote[1814].start |
10789.63596875 |
transcript.pyannote[1814].end |
10791.15471875 |
transcript.pyannote[1815].speaker |
SPEAKER_34 |
transcript.pyannote[1815].start |
10791.23909375 |
transcript.pyannote[1815].end |
10791.69471875 |
transcript.pyannote[1816].speaker |
SPEAKER_34 |
transcript.pyannote[1816].start |
10792.43721875 |
transcript.pyannote[1816].end |
10794.91784375 |
transcript.pyannote[1817].speaker |
SPEAKER_34 |
transcript.pyannote[1817].start |
10795.67721875 |
transcript.pyannote[1817].end |
10797.33096875 |
transcript.pyannote[1818].speaker |
SPEAKER_34 |
transcript.pyannote[1818].start |
10798.15784375 |
transcript.pyannote[1818].end |
10800.67221875 |
transcript.pyannote[1819].speaker |
SPEAKER_34 |
transcript.pyannote[1819].start |
10801.44846875 |
transcript.pyannote[1819].end |
10804.78971875 |
transcript.pyannote[1820].speaker |
SPEAKER_34 |
transcript.pyannote[1820].start |
10805.19471875 |
transcript.pyannote[1820].end |
10807.60784375 |
transcript.pyannote[1821].speaker |
SPEAKER_34 |
transcript.pyannote[1821].start |
10807.99596875 |
transcript.pyannote[1821].end |
10810.42596875 |
transcript.pyannote[1822].speaker |
SPEAKER_34 |
transcript.pyannote[1822].start |
10811.35409375 |
transcript.pyannote[1822].end |
10812.29909375 |
transcript.pyannote[1823].speaker |
SPEAKER_25 |
transcript.pyannote[1823].start |
10814.94846875 |
transcript.pyannote[1823].end |
10815.47159375 |
transcript.pyannote[1824].speaker |
SPEAKER_25 |
transcript.pyannote[1824].start |
10816.53471875 |
transcript.pyannote[1824].end |
10819.20096875 |
transcript.pyannote[1825].speaker |
SPEAKER_25 |
transcript.pyannote[1825].start |
10819.26846875 |
transcript.pyannote[1825].end |
10823.70659375 |
transcript.pyannote[1826].speaker |
SPEAKER_25 |
transcript.pyannote[1826].start |
10824.17909375 |
transcript.pyannote[1826].end |
10826.89596875 |
transcript.pyannote[1827].speaker |
SPEAKER_25 |
transcript.pyannote[1827].start |
10827.80721875 |
transcript.pyannote[1827].end |
10829.32596875 |
transcript.pyannote[1828].speaker |
SPEAKER_25 |
transcript.pyannote[1828].start |
10829.91659375 |
transcript.pyannote[1828].end |
10830.81096875 |
transcript.pyannote[1829].speaker |
SPEAKER_34 |
transcript.pyannote[1829].start |
10830.81096875 |
transcript.pyannote[1829].end |
10836.56534375 |
transcript.pyannote[1830].speaker |
SPEAKER_34 |
transcript.pyannote[1830].start |
10837.05471875 |
transcript.pyannote[1830].end |
10839.29909375 |
transcript.pyannote[1831].speaker |
SPEAKER_34 |
transcript.pyannote[1831].start |
10839.80534375 |
transcript.pyannote[1831].end |
10842.45471875 |
transcript.pyannote[1832].speaker |
SPEAKER_25 |
transcript.pyannote[1832].start |
10843.06221875 |
transcript.pyannote[1832].end |
10855.81971875 |
transcript.pyannote[1833].speaker |
SPEAKER_34 |
transcript.pyannote[1833].start |
10856.19096875 |
transcript.pyannote[1833].end |
10857.20346875 |
transcript.pyannote[1834].speaker |
SPEAKER_34 |
transcript.pyannote[1834].start |
10858.36784375 |
transcript.pyannote[1834].end |
10863.98721875 |
transcript.pyannote[1835].speaker |
SPEAKER_34 |
transcript.pyannote[1835].start |
10864.27409375 |
transcript.pyannote[1835].end |
10867.09221875 |
transcript.pyannote[1836].speaker |
SPEAKER_34 |
transcript.pyannote[1836].start |
10868.03721875 |
transcript.pyannote[1836].end |
10869.94409375 |
transcript.pyannote[1837].speaker |
SPEAKER_34 |
transcript.pyannote[1837].start |
10870.18034375 |
transcript.pyannote[1837].end |
10870.93971875 |
transcript.pyannote[1838].speaker |
SPEAKER_34 |
transcript.pyannote[1838].start |
10871.61471875 |
transcript.pyannote[1838].end |
10873.62284375 |
transcript.pyannote[1839].speaker |
SPEAKER_25 |
transcript.pyannote[1839].start |
10873.62284375 |
transcript.pyannote[1839].end |
10873.63971875 |
transcript.pyannote[1840].speaker |
SPEAKER_34 |
transcript.pyannote[1840].start |
10874.23034375 |
transcript.pyannote[1840].end |
10874.97284375 |
transcript.pyannote[1841].speaker |
SPEAKER_25 |
transcript.pyannote[1841].start |
10874.97284375 |
transcript.pyannote[1841].end |
10879.49534375 |
transcript.pyannote[1842].speaker |
SPEAKER_34 |
transcript.pyannote[1842].start |
10879.24221875 |
transcript.pyannote[1842].end |
10883.15721875 |
transcript.pyannote[1843].speaker |
SPEAKER_24 |
transcript.pyannote[1843].start |
10884.22034375 |
transcript.pyannote[1843].end |
10912.03034375 |
transcript.pyannote[1844].speaker |
SPEAKER_34 |
transcript.pyannote[1844].start |
10912.03034375 |
transcript.pyannote[1844].end |
10924.92284375 |
transcript.pyannote[1845].speaker |
SPEAKER_24 |
transcript.pyannote[1845].start |
10912.08096875 |
transcript.pyannote[1845].end |
10912.21596875 |
transcript.pyannote[1846].speaker |
SPEAKER_34 |
transcript.pyannote[1846].start |
10925.10846875 |
transcript.pyannote[1846].end |
10927.06596875 |
transcript.pyannote[1847].speaker |
SPEAKER_34 |
transcript.pyannote[1847].start |
10927.15034375 |
transcript.pyannote[1847].end |
10931.31846875 |
transcript.pyannote[1848].speaker |
SPEAKER_34 |
transcript.pyannote[1848].start |
10932.63471875 |
transcript.pyannote[1848].end |
10933.96784375 |
transcript.pyannote[1849].speaker |
SPEAKER_34 |
transcript.pyannote[1849].start |
10934.65971875 |
transcript.pyannote[1849].end |
10942.05096875 |
transcript.pyannote[1850].speaker |
SPEAKER_34 |
transcript.pyannote[1850].start |
10942.55721875 |
transcript.pyannote[1850].end |
10946.69159375 |
transcript.pyannote[1851].speaker |
SPEAKER_16 |
transcript.pyannote[1851].start |
10948.29471875 |
transcript.pyannote[1851].end |
10949.69534375 |
transcript.pyannote[1852].speaker |
SPEAKER_34 |
transcript.pyannote[1852].start |
10949.83034375 |
transcript.pyannote[1852].end |
10956.42846875 |
transcript.pyannote[1853].speaker |
SPEAKER_34 |
transcript.pyannote[1853].start |
10957.55909375 |
transcript.pyannote[1853].end |
10958.57159375 |
transcript.pyannote[1854].speaker |
SPEAKER_34 |
transcript.pyannote[1854].start |
10958.90909375 |
transcript.pyannote[1854].end |
10960.96784375 |
transcript.pyannote[1855].speaker |
SPEAKER_24 |
transcript.pyannote[1855].start |
10960.96784375 |
transcript.pyannote[1855].end |
10961.03534375 |
transcript.pyannote[1856].speaker |
SPEAKER_34 |
transcript.pyannote[1856].start |
10961.03534375 |
transcript.pyannote[1856].end |
10967.56596875 |
transcript.pyannote[1857].speaker |
SPEAKER_24 |
transcript.pyannote[1857].start |
10961.18721875 |
transcript.pyannote[1857].end |
10961.60909375 |
transcript.pyannote[1858].speaker |
SPEAKER_34 |
transcript.pyannote[1858].start |
10968.05534375 |
transcript.pyannote[1858].end |
10971.00846875 |
transcript.pyannote[1859].speaker |
SPEAKER_34 |
transcript.pyannote[1859].start |
10972.39221875 |
transcript.pyannote[1859].end |
10974.53534375 |
transcript.pyannote[1860].speaker |
SPEAKER_34 |
transcript.pyannote[1860].start |
10975.42971875 |
transcript.pyannote[1860].end |
10979.96909375 |
transcript.pyannote[1861].speaker |
SPEAKER_16 |
transcript.pyannote[1861].start |
10978.83846875 |
transcript.pyannote[1861].end |
10978.99034375 |
transcript.pyannote[1862].speaker |
SPEAKER_16 |
transcript.pyannote[1862].start |
10979.74971875 |
transcript.pyannote[1862].end |
10992.11909375 |
transcript.pyannote[1863].speaker |
SPEAKER_34 |
transcript.pyannote[1863].start |
10991.34284375 |
transcript.pyannote[1863].end |
10994.07659375 |
transcript.pyannote[1864].speaker |
SPEAKER_16 |
transcript.pyannote[1864].start |
10995.25784375 |
transcript.pyannote[1864].end |
10995.73034375 |
transcript.pyannote[1865].speaker |
SPEAKER_34 |
transcript.pyannote[1865].start |
10995.73034375 |
transcript.pyannote[1865].end |
10995.96659375 |
transcript.pyannote[1866].speaker |
SPEAKER_16 |
transcript.pyannote[1866].start |
10995.96659375 |
transcript.pyannote[1866].end |
10997.56971875 |
transcript.pyannote[1867].speaker |
SPEAKER_34 |
transcript.pyannote[1867].start |
10998.26159375 |
transcript.pyannote[1867].end |
10999.02096875 |
transcript.pyannote[1868].speaker |
SPEAKER_16 |
transcript.pyannote[1868].start |
10999.02096875 |
transcript.pyannote[1868].end |
11000.70846875 |
transcript.pyannote[1869].speaker |
SPEAKER_16 |
transcript.pyannote[1869].start |
11001.19784375 |
transcript.pyannote[1869].end |
11006.05784375 |
transcript.pyannote[1870].speaker |
SPEAKER_34 |
transcript.pyannote[1870].start |
11002.63221875 |
transcript.pyannote[1870].end |
11003.74596875 |
transcript.pyannote[1871].speaker |
SPEAKER_34 |
transcript.pyannote[1871].start |
11006.51346875 |
transcript.pyannote[1871].end |
11010.69846875 |
transcript.pyannote[1872].speaker |
SPEAKER_16 |
transcript.pyannote[1872].start |
11010.69846875 |
transcript.pyannote[1872].end |
11010.71534375 |
transcript.pyannote[1873].speaker |
SPEAKER_34 |
transcript.pyannote[1873].start |
11011.72784375 |
transcript.pyannote[1873].end |
11011.96409375 |
transcript.pyannote[1874].speaker |
SPEAKER_16 |
transcript.pyannote[1874].start |
11011.96409375 |
transcript.pyannote[1874].end |
11014.88346875 |
transcript.pyannote[1875].speaker |
SPEAKER_16 |
transcript.pyannote[1875].start |
11015.45721875 |
transcript.pyannote[1875].end |
11018.24159375 |
transcript.pyannote[1876].speaker |
SPEAKER_34 |
transcript.pyannote[1876].start |
11015.98034375 |
transcript.pyannote[1876].end |
11018.20784375 |
transcript.pyannote[1877].speaker |
SPEAKER_34 |
transcript.pyannote[1877].start |
11018.24159375 |
transcript.pyannote[1877].end |
11020.36784375 |
transcript.pyannote[1878].speaker |
SPEAKER_34 |
transcript.pyannote[1878].start |
11020.50284375 |
transcript.pyannote[1878].end |
11021.32971875 |
transcript.pyannote[1879].speaker |
SPEAKER_16 |
transcript.pyannote[1879].start |
11021.36346875 |
transcript.pyannote[1879].end |
11021.81909375 |
transcript.pyannote[1880].speaker |
SPEAKER_16 |
transcript.pyannote[1880].start |
11022.13971875 |
transcript.pyannote[1880].end |
11025.12659375 |
transcript.pyannote[1881].speaker |
SPEAKER_34 |
transcript.pyannote[1881].start |
11022.20721875 |
transcript.pyannote[1881].end |
11022.81471875 |
transcript.pyannote[1882].speaker |
SPEAKER_34 |
transcript.pyannote[1882].start |
11026.49346875 |
transcript.pyannote[1882].end |
11027.11784375 |
transcript.pyannote[1883].speaker |
SPEAKER_34 |
transcript.pyannote[1883].start |
11028.40034375 |
transcript.pyannote[1883].end |
11032.53471875 |
transcript.pyannote[1884].speaker |
SPEAKER_34 |
transcript.pyannote[1884].start |
11032.95659375 |
transcript.pyannote[1884].end |
11034.08721875 |
transcript.pyannote[1885].speaker |
SPEAKER_34 |
transcript.pyannote[1885].start |
11034.59346875 |
transcript.pyannote[1885].end |
11035.60596875 |
transcript.pyannote[1886].speaker |
SPEAKER_34 |
transcript.pyannote[1886].start |
11036.17971875 |
transcript.pyannote[1886].end |
11038.66034375 |
transcript.pyannote[1887].speaker |
SPEAKER_34 |
transcript.pyannote[1887].start |
11038.84596875 |
transcript.pyannote[1887].end |
11040.11159375 |
transcript.pyannote[1888].speaker |
SPEAKER_34 |
transcript.pyannote[1888].start |
11040.24659375 |
transcript.pyannote[1888].end |
11042.62596875 |
transcript.pyannote[1889].speaker |
SPEAKER_34 |
transcript.pyannote[1889].start |
11042.99721875 |
transcript.pyannote[1889].end |
11044.97159375 |
transcript.pyannote[1890].speaker |
SPEAKER_25 |
transcript.pyannote[1890].start |
11047.73909375 |
transcript.pyannote[1890].end |
11049.69659375 |
transcript.pyannote[1891].speaker |
SPEAKER_34 |
transcript.pyannote[1891].start |
11049.46034375 |
transcript.pyannote[1891].end |
11049.49409375 |
transcript.pyannote[1892].speaker |
SPEAKER_03 |
transcript.pyannote[1892].start |
11049.49409375 |
transcript.pyannote[1892].end |
11050.23659375 |
transcript.pyannote[1893].speaker |
SPEAKER_03 |
transcript.pyannote[1893].start |
11050.74284375 |
transcript.pyannote[1893].end |
11058.87659375 |
transcript.pyannote[1894].speaker |
SPEAKER_34 |
transcript.pyannote[1894].start |
11058.87659375 |
transcript.pyannote[1894].end |
11059.55159375 |
transcript.pyannote[1895].speaker |
SPEAKER_34 |
transcript.pyannote[1895].start |
11059.78784375 |
transcript.pyannote[1895].end |
11060.02409375 |
transcript.pyannote[1896].speaker |
SPEAKER_34 |
transcript.pyannote[1896].start |
11060.24346875 |
transcript.pyannote[1896].end |
11067.36471875 |
transcript.pyannote[1897].speaker |
SPEAKER_03 |
transcript.pyannote[1897].start |
11064.05721875 |
transcript.pyannote[1897].end |
11064.27659375 |
transcript.pyannote[1898].speaker |
SPEAKER_34 |
transcript.pyannote[1898].start |
11068.07346875 |
transcript.pyannote[1898].end |
11070.36846875 |
transcript.pyannote[1899].speaker |
SPEAKER_03 |
transcript.pyannote[1899].start |
11070.77346875 |
transcript.pyannote[1899].end |
11081.62409375 |
transcript.pyannote[1900].speaker |
SPEAKER_34 |
transcript.pyannote[1900].start |
11076.54471875 |
transcript.pyannote[1900].end |
11076.93284375 |
transcript.pyannote[1901].speaker |
SPEAKER_34 |
transcript.pyannote[1901].start |
11077.05096875 |
transcript.pyannote[1901].end |
11083.42971875 |
transcript.pyannote[1902].speaker |
SPEAKER_34 |
transcript.pyannote[1902].start |
11083.80096875 |
transcript.pyannote[1902].end |
11087.19284375 |
transcript.pyannote[1903].speaker |
SPEAKER_34 |
transcript.pyannote[1903].start |
11088.49221875 |
transcript.pyannote[1903].end |
11091.41159375 |
transcript.pyannote[1904].speaker |
SPEAKER_34 |
transcript.pyannote[1904].start |
11091.90096875 |
transcript.pyannote[1904].end |
11092.82909375 |
transcript.pyannote[1905].speaker |
SPEAKER_34 |
transcript.pyannote[1905].start |
11093.16659375 |
transcript.pyannote[1905].end |
11093.18346875 |
transcript.pyannote[1906].speaker |
SPEAKER_03 |
transcript.pyannote[1906].start |
11093.18346875 |
transcript.pyannote[1906].end |
11093.31846875 |
transcript.pyannote[1907].speaker |
SPEAKER_34 |
transcript.pyannote[1907].start |
11093.31846875 |
transcript.pyannote[1907].end |
11093.63909375 |
transcript.pyannote[1908].speaker |
SPEAKER_03 |
transcript.pyannote[1908].start |
11093.63909375 |
transcript.pyannote[1908].end |
11096.06909375 |
transcript.pyannote[1909].speaker |
SPEAKER_34 |
transcript.pyannote[1909].start |
11095.36034375 |
transcript.pyannote[1909].end |
11095.83284375 |
transcript.pyannote[1910].speaker |
SPEAKER_03 |
transcript.pyannote[1910].start |
11096.35596875 |
transcript.pyannote[1910].end |
11105.55284375 |
transcript.pyannote[1911].speaker |
SPEAKER_34 |
transcript.pyannote[1911].start |
11099.27534375 |
transcript.pyannote[1911].end |
11101.03034375 |
transcript.pyannote[1912].speaker |
SPEAKER_34 |
transcript.pyannote[1912].start |
11103.46034375 |
transcript.pyannote[1912].end |
11103.69659375 |
transcript.pyannote[1913].speaker |
SPEAKER_03 |
transcript.pyannote[1913].start |
11106.02534375 |
transcript.pyannote[1913].end |
11106.58221875 |
transcript.pyannote[1914].speaker |
SPEAKER_03 |
transcript.pyannote[1914].start |
11106.73409375 |
transcript.pyannote[1914].end |
11110.73346875 |
transcript.pyannote[1915].speaker |
SPEAKER_03 |
transcript.pyannote[1915].start |
11111.12159375 |
transcript.pyannote[1915].end |
11111.96534375 |
transcript.pyannote[1916].speaker |
SPEAKER_34 |
transcript.pyannote[1916].start |
11111.96534375 |
transcript.pyannote[1916].end |
11118.02346875 |
transcript.pyannote[1917].speaker |
SPEAKER_34 |
transcript.pyannote[1917].start |
11118.10784375 |
transcript.pyannote[1917].end |
11123.08596875 |
transcript.pyannote[1918].speaker |
SPEAKER_34 |
transcript.pyannote[1918].start |
11123.50784375 |
transcript.pyannote[1918].end |
11124.46971875 |
transcript.pyannote[1919].speaker |
SPEAKER_34 |
transcript.pyannote[1919].start |
11124.94221875 |
transcript.pyannote[1919].end |
11127.00096875 |
transcript.pyannote[1920].speaker |
SPEAKER_25 |
transcript.pyannote[1920].start |
11127.37221875 |
transcript.pyannote[1920].end |
11128.62096875 |
transcript.pyannote[1921].speaker |
SPEAKER_34 |
transcript.pyannote[1921].start |
11128.09784375 |
transcript.pyannote[1921].end |
11130.73034375 |
transcript.pyannote[1922].speaker |
SPEAKER_25 |
transcript.pyannote[1922].start |
11130.39284375 |
transcript.pyannote[1922].end |
11149.90034375 |
transcript.pyannote[1923].speaker |
SPEAKER_34 |
transcript.pyannote[1923].start |
11149.32659375 |
transcript.pyannote[1923].end |
11152.90409375 |
transcript.pyannote[1924].speaker |
SPEAKER_34 |
transcript.pyannote[1924].start |
11153.59596875 |
transcript.pyannote[1924].end |
11154.45659375 |
transcript.pyannote[1925].speaker |
SPEAKER_34 |
transcript.pyannote[1925].start |
11155.85721875 |
transcript.pyannote[1925].end |
11156.76846875 |
transcript.pyannote[1926].speaker |
SPEAKER_34 |
transcript.pyannote[1926].start |
11157.44346875 |
transcript.pyannote[1926].end |
11157.62909375 |
transcript.pyannote[1927].speaker |
SPEAKER_34 |
transcript.pyannote[1927].start |
11157.84846875 |
transcript.pyannote[1927].end |
11159.63721875 |
transcript.pyannote[1928].speaker |
SPEAKER_34 |
transcript.pyannote[1928].start |
11160.22784375 |
transcript.pyannote[1928].end |
11162.47221875 |
transcript.pyannote[1929].speaker |
SPEAKER_34 |
transcript.pyannote[1929].start |
11163.40034375 |
transcript.pyannote[1929].end |
11164.37909375 |
transcript.pyannote[1930].speaker |
SPEAKER_34 |
transcript.pyannote[1930].start |
11164.58159375 |
transcript.pyannote[1930].end |
11167.02846875 |
transcript.pyannote[1931].speaker |
SPEAKER_34 |
transcript.pyannote[1931].start |
11168.20971875 |
transcript.pyannote[1931].end |
11168.68221875 |
transcript.pyannote[1932].speaker |
SPEAKER_34 |
transcript.pyannote[1932].start |
11168.81721875 |
transcript.pyannote[1932].end |
11169.45846875 |
transcript.pyannote[1933].speaker |
SPEAKER_34 |
transcript.pyannote[1933].start |
11169.72846875 |
transcript.pyannote[1933].end |
11170.45409375 |
transcript.pyannote[1934].speaker |
SPEAKER_34 |
transcript.pyannote[1934].start |
11170.67346875 |
transcript.pyannote[1934].end |
11172.14159375 |
transcript.pyannote[1935].speaker |
SPEAKER_06 |
transcript.pyannote[1935].start |
11173.03596875 |
transcript.pyannote[1935].end |
11174.08221875 |
transcript.pyannote[1936].speaker |
SPEAKER_34 |
transcript.pyannote[1936].start |
11177.92971875 |
transcript.pyannote[1936].end |
11180.44409375 |
transcript.pyannote[1937].speaker |
SPEAKER_34 |
transcript.pyannote[1937].start |
11180.95034375 |
transcript.pyannote[1937].end |
11181.52409375 |
transcript.pyannote[1938].speaker |
SPEAKER_34 |
transcript.pyannote[1938].start |
11182.13159375 |
transcript.pyannote[1938].end |
11188.15596875 |
transcript.pyannote[1939].speaker |
SPEAKER_34 |
transcript.pyannote[1939].start |
11189.03346875 |
transcript.pyannote[1939].end |
11191.00784375 |
transcript.pyannote[1940].speaker |
SPEAKER_27 |
transcript.pyannote[1940].start |
11192.86409375 |
transcript.pyannote[1940].end |
11193.03284375 |
transcript.pyannote[1941].speaker |
SPEAKER_34 |
transcript.pyannote[1941].start |
11193.03284375 |
transcript.pyannote[1941].end |
11193.97784375 |
transcript.pyannote[1942].speaker |
SPEAKER_27 |
transcript.pyannote[1942].start |
11193.97784375 |
transcript.pyannote[1942].end |
11194.02846875 |
transcript.pyannote[1943].speaker |
SPEAKER_34 |
transcript.pyannote[1943].start |
11194.02846875 |
transcript.pyannote[1943].end |
11195.47971875 |
transcript.pyannote[1944].speaker |
SPEAKER_27 |
transcript.pyannote[1944].start |
11195.47971875 |
transcript.pyannote[1944].end |
11195.53034375 |
transcript.pyannote[1945].speaker |
SPEAKER_34 |
transcript.pyannote[1945].start |
11195.53034375 |
transcript.pyannote[1945].end |
11195.59784375 |
transcript.pyannote[1946].speaker |
SPEAKER_27 |
transcript.pyannote[1946].start |
11195.59784375 |
transcript.pyannote[1946].end |
11195.63159375 |
transcript.pyannote[1947].speaker |
SPEAKER_34 |
transcript.pyannote[1947].start |
11195.63159375 |
transcript.pyannote[1947].end |
11196.17159375 |
transcript.pyannote[1948].speaker |
SPEAKER_34 |
transcript.pyannote[1948].start |
11196.30659375 |
transcript.pyannote[1948].end |
11196.64409375 |
transcript.pyannote[1949].speaker |
SPEAKER_34 |
transcript.pyannote[1949].start |
11197.55534375 |
transcript.pyannote[1949].end |
11203.14096875 |
transcript.pyannote[1950].speaker |
SPEAKER_34 |
transcript.pyannote[1950].start |
11203.36034375 |
transcript.pyannote[1950].end |
11204.42346875 |
transcript.pyannote[1951].speaker |
SPEAKER_34 |
transcript.pyannote[1951].start |
11204.64284375 |
transcript.pyannote[1951].end |
11204.87909375 |
transcript.pyannote[1952].speaker |
SPEAKER_34 |
transcript.pyannote[1952].start |
11205.04784375 |
transcript.pyannote[1952].end |
11206.53284375 |
transcript.pyannote[1953].speaker |
SPEAKER_34 |
transcript.pyannote[1953].start |
11207.10659375 |
transcript.pyannote[1953].end |
11207.96721875 |
transcript.pyannote[1954].speaker |
SPEAKER_16 |
transcript.pyannote[1954].start |
11209.51971875 |
transcript.pyannote[1954].end |
11209.53659375 |
transcript.pyannote[1955].speaker |
SPEAKER_34 |
transcript.pyannote[1955].start |
11209.53659375 |
transcript.pyannote[1955].end |
11209.87409375 |
transcript.pyannote[1956].speaker |
SPEAKER_34 |
transcript.pyannote[1956].start |
11211.69659375 |
transcript.pyannote[1956].end |
11214.51471875 |
transcript.pyannote[1957].speaker |
SPEAKER_34 |
transcript.pyannote[1957].start |
11215.69596875 |
transcript.pyannote[1957].end |
11229.85409375 |
transcript.pyannote[1958].speaker |
SPEAKER_34 |
transcript.pyannote[1958].start |
11230.09034375 |
transcript.pyannote[1958].end |
11231.59221875 |
transcript.pyannote[1959].speaker |
SPEAKER_27 |
transcript.pyannote[1959].start |
11230.12409375 |
transcript.pyannote[1959].end |
11230.52909375 |
transcript.pyannote[1960].speaker |
SPEAKER_34 |
transcript.pyannote[1960].start |
11231.94659375 |
transcript.pyannote[1960].end |
11233.71846875 |
transcript.pyannote[1961].speaker |
SPEAKER_27 |
transcript.pyannote[1961].start |
11232.04784375 |
transcript.pyannote[1961].end |
11236.51971875 |
transcript.pyannote[1962].speaker |
SPEAKER_34 |
transcript.pyannote[1962].start |
11236.70534375 |
transcript.pyannote[1962].end |
11240.92409375 |
transcript.pyannote[1963].speaker |
SPEAKER_27 |
transcript.pyannote[1963].start |
11239.47284375 |
transcript.pyannote[1963].end |
11240.89034375 |
transcript.pyannote[1964].speaker |
SPEAKER_27 |
transcript.pyannote[1964].start |
11240.92409375 |
transcript.pyannote[1964].end |
11244.33284375 |
transcript.pyannote[1965].speaker |
SPEAKER_34 |
transcript.pyannote[1965].start |
11242.98284375 |
transcript.pyannote[1965].end |
11246.13846875 |
transcript.pyannote[1966].speaker |
SPEAKER_27 |
transcript.pyannote[1966].start |
11247.30284375 |
transcript.pyannote[1966].end |
11252.24721875 |
transcript.pyannote[1967].speaker |
SPEAKER_34 |
transcript.pyannote[1967].start |
11247.38721875 |
transcript.pyannote[1967].end |
11247.82596875 |
transcript.pyannote[1968].speaker |
SPEAKER_34 |
transcript.pyannote[1968].start |
11251.08284375 |
transcript.pyannote[1968].end |
11261.14034375 |
transcript.pyannote[1969].speaker |
SPEAKER_34 |
transcript.pyannote[1969].start |
11261.84909375 |
transcript.pyannote[1969].end |
11265.22409375 |
transcript.pyannote[1970].speaker |
SPEAKER_28 |
transcript.pyannote[1970].start |
11262.05159375 |
transcript.pyannote[1970].end |
11262.40596875 |
transcript.pyannote[1971].speaker |
SPEAKER_34 |
transcript.pyannote[1971].start |
11265.94971875 |
transcript.pyannote[1971].end |
11266.28721875 |
transcript.pyannote[1972].speaker |
SPEAKER_34 |
transcript.pyannote[1972].start |
11266.89471875 |
transcript.pyannote[1972].end |
11267.45159375 |
transcript.pyannote[1973].speaker |
SPEAKER_34 |
transcript.pyannote[1973].start |
11268.83534375 |
transcript.pyannote[1973].end |
11270.67471875 |
transcript.pyannote[1974].speaker |
SPEAKER_34 |
transcript.pyannote[1974].start |
11271.77159375 |
transcript.pyannote[1974].end |
11274.65721875 |
transcript.pyannote[1975].speaker |
SPEAKER_34 |
transcript.pyannote[1975].start |
11274.97784375 |
transcript.pyannote[1975].end |
11277.69471875 |
transcript.pyannote[1976].speaker |
SPEAKER_34 |
transcript.pyannote[1976].start |
11278.45409375 |
transcript.pyannote[1976].end |
11280.64784375 |
transcript.pyannote[1977].speaker |
SPEAKER_34 |
transcript.pyannote[1977].start |
11281.40721875 |
transcript.pyannote[1977].end |
11284.69784375 |
transcript.pyannote[1978].speaker |
SPEAKER_34 |
transcript.pyannote[1978].start |
11284.83284375 |
transcript.pyannote[1978].end |
11287.65096875 |
transcript.pyannote[1979].speaker |
SPEAKER_34 |
transcript.pyannote[1979].start |
11288.15721875 |
transcript.pyannote[1979].end |
11289.23721875 |
transcript.pyannote[1980].speaker |
SPEAKER_34 |
transcript.pyannote[1980].start |
11289.37221875 |
transcript.pyannote[1980].end |
11289.94596875 |
transcript.pyannote[1981].speaker |
SPEAKER_34 |
transcript.pyannote[1981].start |
11290.26659375 |
transcript.pyannote[1981].end |
11292.42659375 |
transcript.pyannote[1982].speaker |
SPEAKER_34 |
transcript.pyannote[1982].start |
11293.75971875 |
transcript.pyannote[1982].end |
11294.38409375 |
transcript.pyannote[1983].speaker |
SPEAKER_34 |
transcript.pyannote[1983].start |
11294.62034375 |
transcript.pyannote[1983].end |
11297.03346875 |
transcript.pyannote[1984].speaker |
SPEAKER_34 |
transcript.pyannote[1984].start |
11297.21909375 |
transcript.pyannote[1984].end |
11299.75034375 |
transcript.pyannote[1985].speaker |
SPEAKER_34 |
transcript.pyannote[1985].start |
11299.88534375 |
transcript.pyannote[1985].end |
11300.12159375 |
transcript.pyannote[1986].speaker |
SPEAKER_34 |
transcript.pyannote[1986].start |
11300.84721875 |
transcript.pyannote[1986].end |
11302.29846875 |
transcript.pyannote[1987].speaker |
SPEAKER_28 |
transcript.pyannote[1987].start |
11301.38721875 |
transcript.pyannote[1987].end |
11302.04534375 |
transcript.pyannote[1988].speaker |
SPEAKER_27 |
transcript.pyannote[1988].start |
11302.04534375 |
transcript.pyannote[1988].end |
11302.06221875 |
transcript.pyannote[1989].speaker |
SPEAKER_28 |
transcript.pyannote[1989].start |
11302.45034375 |
transcript.pyannote[1989].end |
11302.46721875 |
transcript.pyannote[1990].speaker |
SPEAKER_34 |
transcript.pyannote[1990].start |
11302.46721875 |
transcript.pyannote[1990].end |
11302.48409375 |
transcript.pyannote[1991].speaker |
SPEAKER_28 |
transcript.pyannote[1991].start |
11302.48409375 |
transcript.pyannote[1991].end |
11302.50096875 |
transcript.pyannote[1992].speaker |
SPEAKER_34 |
transcript.pyannote[1992].start |
11302.50096875 |
transcript.pyannote[1992].end |
11309.36909375 |
transcript.pyannote[1993].speaker |
SPEAKER_27 |
transcript.pyannote[1993].start |
11310.38159375 |
transcript.pyannote[1993].end |
11315.84909375 |
transcript.pyannote[1994].speaker |
SPEAKER_34 |
transcript.pyannote[1994].start |
11316.43971875 |
transcript.pyannote[1994].end |
11320.86096875 |
transcript.pyannote[1995].speaker |
SPEAKER_27 |
transcript.pyannote[1995].start |
11321.68784375 |
transcript.pyannote[1995].end |
11321.73846875 |
transcript.pyannote[1996].speaker |
SPEAKER_34 |
transcript.pyannote[1996].start |
11321.73846875 |
transcript.pyannote[1996].end |
11321.75534375 |
transcript.pyannote[1997].speaker |
SPEAKER_27 |
transcript.pyannote[1997].start |
11321.75534375 |
transcript.pyannote[1997].end |
11323.25721875 |
transcript.pyannote[1998].speaker |
SPEAKER_34 |
transcript.pyannote[1998].start |
11323.25721875 |
transcript.pyannote[1998].end |
11326.54784375 |
transcript.pyannote[1999].speaker |
SPEAKER_27 |
transcript.pyannote[1999].start |
11323.30784375 |
transcript.pyannote[1999].end |
11324.79284375 |
transcript.pyannote[2000].speaker |
SPEAKER_34 |
transcript.pyannote[2000].start |
11326.85159375 |
transcript.pyannote[2000].end |
11333.83784375 |
transcript.pyannote[2001].speaker |
SPEAKER_27 |
transcript.pyannote[2001].start |
11334.09096875 |
transcript.pyannote[2001].end |
11340.03096875 |
transcript.pyannote[2002].speaker |
SPEAKER_34 |
transcript.pyannote[2002].start |
11340.03096875 |
transcript.pyannote[2002].end |
11352.13034375 |
transcript.pyannote[2003].speaker |
SPEAKER_27 |
transcript.pyannote[2003].start |
11352.13034375 |
transcript.pyannote[2003].end |
11359.06596875 |
transcript.pyannote[2004].speaker |
SPEAKER_34 |
transcript.pyannote[2004].start |
11357.63159375 |
transcript.pyannote[2004].end |
11365.20846875 |
transcript.pyannote[2005].speaker |
SPEAKER_34 |
transcript.pyannote[2005].start |
11365.81596875 |
transcript.pyannote[2005].end |
11368.44846875 |
transcript.pyannote[2006].speaker |
SPEAKER_34 |
transcript.pyannote[2006].start |
11368.76909375 |
transcript.pyannote[2006].end |
11369.27534375 |
transcript.pyannote[2007].speaker |
SPEAKER_15 |
transcript.pyannote[2007].start |
11370.94596875 |
transcript.pyannote[2007].end |
11371.57034375 |
transcript.pyannote[2008].speaker |
SPEAKER_15 |
transcript.pyannote[2008].start |
11375.38409375 |
transcript.pyannote[2008].end |
11378.99534375 |
transcript.pyannote[2009].speaker |
SPEAKER_00 |
transcript.pyannote[2009].start |
11388.98534375 |
transcript.pyannote[2009].end |
11390.14971875 |
transcript.pyannote[2010].speaker |
SPEAKER_00 |
transcript.pyannote[2010].start |
11390.97659375 |
transcript.pyannote[2010].end |
11393.18721875 |
transcript.pyannote[2011].speaker |
SPEAKER_00 |
transcript.pyannote[2011].start |
11393.99721875 |
transcript.pyannote[2011].end |
11394.62159375 |
transcript.pyannote[2012].speaker |
SPEAKER_00 |
transcript.pyannote[2012].start |
11395.06034375 |
transcript.pyannote[2012].end |
11396.15721875 |
transcript.pyannote[2013].speaker |
SPEAKER_00 |
transcript.pyannote[2013].start |
11397.22034375 |
transcript.pyannote[2013].end |
11401.08471875 |
transcript.pyannote[2014].speaker |
SPEAKER_00 |
transcript.pyannote[2014].start |
11401.59096875 |
transcript.pyannote[2014].end |
11404.03784375 |
transcript.pyannote[2015].speaker |
SPEAKER_00 |
transcript.pyannote[2015].start |
11404.17284375 |
transcript.pyannote[2015].end |
11405.74221875 |
transcript.pyannote[2016].speaker |
SPEAKER_00 |
transcript.pyannote[2016].start |
11405.92784375 |
transcript.pyannote[2016].end |
11407.51409375 |
transcript.pyannote[2017].speaker |
SPEAKER_00 |
transcript.pyannote[2017].start |
11408.15534375 |
transcript.pyannote[2017].end |
11411.80034375 |
transcript.pyannote[2018].speaker |
SPEAKER_00 |
transcript.pyannote[2018].start |
11412.10409375 |
transcript.pyannote[2018].end |
11413.65659375 |
transcript.pyannote[2019].speaker |
SPEAKER_00 |
transcript.pyannote[2019].start |
11414.58471875 |
transcript.pyannote[2019].end |
11416.99784375 |
transcript.pyannote[2020].speaker |
SPEAKER_00 |
transcript.pyannote[2020].start |
11417.72346875 |
transcript.pyannote[2020].end |
11419.20846875 |
transcript.pyannote[2021].speaker |
SPEAKER_00 |
transcript.pyannote[2021].start |
11419.76534375 |
transcript.pyannote[2021].end |
11421.28409375 |
transcript.pyannote[2022].speaker |
SPEAKER_00 |
transcript.pyannote[2022].start |
11422.09409375 |
transcript.pyannote[2022].end |
11423.71409375 |
transcript.pyannote[2023].speaker |
SPEAKER_00 |
transcript.pyannote[2023].start |
11423.86596875 |
transcript.pyannote[2023].end |
11429.92409375 |
transcript.pyannote[2024].speaker |
SPEAKER_00 |
transcript.pyannote[2024].start |
11430.59909375 |
transcript.pyannote[2024].end |
11433.04596875 |
transcript.pyannote[2025].speaker |
SPEAKER_00 |
transcript.pyannote[2025].start |
11433.61971875 |
transcript.pyannote[2025].end |
11434.95284375 |
transcript.pyannote[2026].speaker |
SPEAKER_00 |
transcript.pyannote[2026].start |
11435.47596875 |
transcript.pyannote[2026].end |
11436.57284375 |
transcript.pyannote[2027].speaker |
SPEAKER_00 |
transcript.pyannote[2027].start |
11437.02846875 |
transcript.pyannote[2027].end |
11440.99409375 |
transcript.pyannote[2028].speaker |
SPEAKER_00 |
transcript.pyannote[2028].start |
11441.83784375 |
transcript.pyannote[2028].end |
11444.45346875 |
transcript.pyannote[2029].speaker |
SPEAKER_00 |
transcript.pyannote[2029].start |
11444.60534375 |
transcript.pyannote[2029].end |
11446.49534375 |
transcript.pyannote[2030].speaker |
SPEAKER_00 |
transcript.pyannote[2030].start |
11447.47409375 |
transcript.pyannote[2030].end |
11448.60471875 |
transcript.pyannote[2031].speaker |
SPEAKER_00 |
transcript.pyannote[2031].start |
11449.33034375 |
transcript.pyannote[2031].end |
11457.02534375 |
transcript.pyannote[2032].speaker |
SPEAKER_00 |
transcript.pyannote[2032].start |
11457.09284375 |
transcript.pyannote[2032].end |
11458.78034375 |
transcript.pyannote[2033].speaker |
SPEAKER_00 |
transcript.pyannote[2033].start |
11460.02909375 |
transcript.pyannote[2033].end |
11465.58096875 |
transcript.pyannote[2034].speaker |
SPEAKER_00 |
transcript.pyannote[2034].start |
11465.90159375 |
transcript.pyannote[2034].end |
11466.93096875 |
transcript.pyannote[2035].speaker |
SPEAKER_00 |
transcript.pyannote[2035].start |
11466.96471875 |
transcript.pyannote[2035].end |
11467.03221875 |
transcript.pyannote[2036].speaker |
SPEAKER_00 |
transcript.pyannote[2036].start |
11467.04909375 |
transcript.pyannote[2036].end |
11468.70284375 |
transcript.pyannote[2037].speaker |
SPEAKER_00 |
transcript.pyannote[2037].start |
11469.00659375 |
transcript.pyannote[2037].end |
11470.99784375 |
transcript.pyannote[2038].speaker |
SPEAKER_00 |
transcript.pyannote[2038].start |
11471.77409375 |
transcript.pyannote[2038].end |
11474.33909375 |
transcript.pyannote[2039].speaker |
SPEAKER_00 |
transcript.pyannote[2039].start |
11474.82846875 |
transcript.pyannote[2039].end |
11477.93346875 |
transcript.pyannote[2040].speaker |
SPEAKER_00 |
transcript.pyannote[2040].start |
11479.30034375 |
transcript.pyannote[2040].end |
11481.39284375 |
transcript.pyannote[2041].speaker |
SPEAKER_15 |
transcript.pyannote[2041].start |
11481.47721875 |
transcript.pyannote[2041].end |
11483.11409375 |
transcript.pyannote[2042].speaker |
SPEAKER_00 |
transcript.pyannote[2042].start |
11490.10034375 |
transcript.pyannote[2042].end |
11491.33221875 |
transcript.pyannote[2043].speaker |
SPEAKER_00 |
transcript.pyannote[2043].start |
11491.68659375 |
transcript.pyannote[2043].end |
11492.09159375 |
transcript.pyannote[2044].speaker |
SPEAKER_00 |
transcript.pyannote[2044].start |
11492.31096875 |
transcript.pyannote[2044].end |
11492.69909375 |
transcript.pyannote[2045].speaker |
SPEAKER_00 |
transcript.pyannote[2045].start |
11493.13784375 |
transcript.pyannote[2045].end |
11494.80846875 |
transcript.pyannote[2046].speaker |
SPEAKER_00 |
transcript.pyannote[2046].start |
11495.24721875 |
transcript.pyannote[2046].end |
11496.95159375 |
transcript.pyannote[2047].speaker |
SPEAKER_00 |
transcript.pyannote[2047].start |
11497.52534375 |
transcript.pyannote[2047].end |
11499.17909375 |
transcript.pyannote[2048].speaker |
SPEAKER_00 |
transcript.pyannote[2048].start |
11499.88784375 |
transcript.pyannote[2048].end |
11501.64284375 |
transcript.pyannote[2049].speaker |
SPEAKER_00 |
transcript.pyannote[2049].start |
11502.01409375 |
transcript.pyannote[2049].end |
11503.21221875 |
transcript.pyannote[2050].speaker |
SPEAKER_00 |
transcript.pyannote[2050].start |
11503.41471875 |
transcript.pyannote[2050].end |
11509.32096875 |
transcript.pyannote[2051].speaker |
SPEAKER_00 |
transcript.pyannote[2051].start |
11509.91159375 |
transcript.pyannote[2051].end |
11518.11284375 |
transcript.pyannote[2052].speaker |
SPEAKER_17 |
transcript.pyannote[2052].start |
11510.29971875 |
transcript.pyannote[2052].end |
11510.97471875 |
transcript.pyannote[2053].speaker |
SPEAKER_01 |
transcript.pyannote[2053].start |
11510.97471875 |
transcript.pyannote[2053].end |
11511.48096875 |
transcript.pyannote[2054].speaker |
SPEAKER_00 |
transcript.pyannote[2054].start |
11518.12971875 |
transcript.pyannote[2054].end |
11521.96034375 |
transcript.pyannote[2055].speaker |
SPEAKER_00 |
transcript.pyannote[2055].start |
11522.88846875 |
transcript.pyannote[2055].end |
11525.57159375 |
transcript.pyannote[2056].speaker |
SPEAKER_15 |
transcript.pyannote[2056].start |
11526.29721875 |
transcript.pyannote[2056].end |
11527.81596875 |
transcript.pyannote[2057].speaker |
SPEAKER_00 |
transcript.pyannote[2057].start |
11533.30034375 |
transcript.pyannote[2057].end |
11535.25784375 |
transcript.pyannote[2058].speaker |
SPEAKER_00 |
transcript.pyannote[2058].start |
11535.61221875 |
transcript.pyannote[2058].end |
11538.41346875 |
transcript.pyannote[2059].speaker |
SPEAKER_00 |
transcript.pyannote[2059].start |
11538.76784375 |
transcript.pyannote[2059].end |
11542.12596875 |
transcript.pyannote[2060].speaker |
SPEAKER_00 |
transcript.pyannote[2060].start |
11542.80096875 |
transcript.pyannote[2060].end |
11545.34909375 |
transcript.pyannote[2061].speaker |
SPEAKER_00 |
transcript.pyannote[2061].start |
11546.10846875 |
transcript.pyannote[2061].end |
11548.35284375 |
transcript.pyannote[2062].speaker |
SPEAKER_00 |
transcript.pyannote[2062].start |
11549.12909375 |
transcript.pyannote[2062].end |
11551.86284375 |
transcript.pyannote[2063].speaker |
SPEAKER_00 |
transcript.pyannote[2063].start |
11552.52096875 |
transcript.pyannote[2063].end |
11554.24221875 |
transcript.pyannote[2064].speaker |
SPEAKER_00 |
transcript.pyannote[2064].start |
11555.00159375 |
transcript.pyannote[2064].end |
11558.37659375 |
transcript.pyannote[2065].speaker |
SPEAKER_00 |
transcript.pyannote[2065].start |
11559.06846875 |
transcript.pyannote[2065].end |
11560.03034375 |
transcript.pyannote[2066].speaker |
SPEAKER_00 |
transcript.pyannote[2066].start |
11560.62096875 |
transcript.pyannote[2066].end |
11563.69221875 |
transcript.pyannote[2067].speaker |
SPEAKER_00 |
transcript.pyannote[2067].start |
11564.36721875 |
transcript.pyannote[2067].end |
11570.39159375 |
transcript.pyannote[2068].speaker |
SPEAKER_00 |
transcript.pyannote[2068].start |
11571.15096875 |
transcript.pyannote[2068].end |
11571.60659375 |
transcript.pyannote[2069].speaker |
SPEAKER_00 |
transcript.pyannote[2069].start |
11571.96096875 |
transcript.pyannote[2069].end |
11572.97346875 |
transcript.pyannote[2070].speaker |
SPEAKER_00 |
transcript.pyannote[2070].start |
11573.42909375 |
transcript.pyannote[2070].end |
11575.03221875 |
transcript.pyannote[2071].speaker |
SPEAKER_00 |
transcript.pyannote[2071].start |
11575.40346875 |
transcript.pyannote[2071].end |
11576.50034375 |
transcript.pyannote[2072].speaker |
SPEAKER_00 |
transcript.pyannote[2072].start |
11577.05721875 |
transcript.pyannote[2072].end |
11577.73221875 |
transcript.pyannote[2073].speaker |
SPEAKER_00 |
transcript.pyannote[2073].start |
11578.00221875 |
transcript.pyannote[2073].end |
11578.93034375 |
transcript.pyannote[2074].speaker |
SPEAKER_00 |
transcript.pyannote[2074].start |
11579.45346875 |
transcript.pyannote[2074].end |
11580.87096875 |
transcript.pyannote[2075].speaker |
SPEAKER_00 |
transcript.pyannote[2075].start |
11581.27596875 |
transcript.pyannote[2075].end |
11587.08096875 |
transcript.pyannote[2076].speaker |
SPEAKER_00 |
transcript.pyannote[2076].start |
11587.18221875 |
transcript.pyannote[2076].end |
11591.63721875 |
transcript.pyannote[2077].speaker |
SPEAKER_32 |
transcript.pyannote[2077].start |
11591.99159375 |
transcript.pyannote[2077].end |
11592.44721875 |
transcript.pyannote[2078].speaker |
SPEAKER_00 |
transcript.pyannote[2078].start |
11593.81409375 |
transcript.pyannote[2078].end |
11595.14721875 |
transcript.pyannote[2079].speaker |
SPEAKER_00 |
transcript.pyannote[2079].start |
11595.80534375 |
transcript.pyannote[2079].end |
11598.25221875 |
transcript.pyannote[2080].speaker |
SPEAKER_00 |
transcript.pyannote[2080].start |
11599.07909375 |
transcript.pyannote[2080].end |
11602.52159375 |
transcript.pyannote[2081].speaker |
SPEAKER_00 |
transcript.pyannote[2081].start |
11602.94346875 |
transcript.pyannote[2081].end |
11603.21346875 |
transcript.pyannote[2082].speaker |
SPEAKER_00 |
transcript.pyannote[2082].start |
11603.77034375 |
transcript.pyannote[2082].end |
11618.33346875 |
transcript.pyannote[2083].speaker |
SPEAKER_27 |
transcript.pyannote[2083].start |
11620.57784375 |
transcript.pyannote[2083].end |
11626.04534375 |
transcript.pyannote[2084].speaker |
SPEAKER_27 |
transcript.pyannote[2084].start |
11626.24784375 |
transcript.pyannote[2084].end |
11626.90596875 |
transcript.pyannote[2085].speaker |
SPEAKER_27 |
transcript.pyannote[2085].start |
11627.37846875 |
transcript.pyannote[2085].end |
11628.03659375 |
transcript.pyannote[2086].speaker |
SPEAKER_00 |
transcript.pyannote[2086].start |
11628.03659375 |
transcript.pyannote[2086].end |
11632.76159375 |
transcript.pyannote[2087].speaker |
SPEAKER_27 |
transcript.pyannote[2087].start |
11632.98096875 |
transcript.pyannote[2087].end |
11638.76909375 |
transcript.pyannote[2088].speaker |
SPEAKER_00 |
transcript.pyannote[2088].start |
11638.76909375 |
transcript.pyannote[2088].end |
11638.81971875 |
transcript.pyannote[2089].speaker |
SPEAKER_27 |
transcript.pyannote[2089].start |
11639.22471875 |
transcript.pyannote[2089].end |
11639.24159375 |
transcript.pyannote[2090].speaker |
SPEAKER_00 |
transcript.pyannote[2090].start |
11639.24159375 |
transcript.pyannote[2090].end |
11648.50596875 |
transcript.pyannote[2091].speaker |
SPEAKER_00 |
transcript.pyannote[2091].start |
11649.13034375 |
transcript.pyannote[2091].end |
11649.21471875 |
transcript.pyannote[2092].speaker |
SPEAKER_00 |
transcript.pyannote[2092].start |
11649.48471875 |
transcript.pyannote[2092].end |
11652.10034375 |
transcript.pyannote[2093].speaker |
SPEAKER_00 |
transcript.pyannote[2093].start |
11653.04534375 |
transcript.pyannote[2093].end |
11658.10784375 |
transcript.pyannote[2094].speaker |
SPEAKER_00 |
transcript.pyannote[2094].start |
11658.12471875 |
transcript.pyannote[2094].end |
11660.45346875 |
transcript.pyannote[2095].speaker |
SPEAKER_00 |
transcript.pyannote[2095].start |
11662.19159375 |
transcript.pyannote[2095].end |
11664.41909375 |
transcript.pyannote[2096].speaker |
SPEAKER_00 |
transcript.pyannote[2096].start |
11665.09409375 |
transcript.pyannote[2096].end |
11665.98846875 |
transcript.pyannote[2097].speaker |
SPEAKER_00 |
transcript.pyannote[2097].start |
11666.35971875 |
transcript.pyannote[2097].end |
11667.25409375 |
transcript.pyannote[2098].speaker |
SPEAKER_00 |
transcript.pyannote[2098].start |
11667.86159375 |
transcript.pyannote[2098].end |
11671.40534375 |
transcript.pyannote[2099].speaker |
SPEAKER_00 |
transcript.pyannote[2099].start |
11671.84409375 |
transcript.pyannote[2099].end |
11678.35784375 |
transcript.pyannote[2100].speaker |
SPEAKER_00 |
transcript.pyannote[2100].start |
11678.81346875 |
transcript.pyannote[2100].end |
11680.73721875 |
transcript.pyannote[2101].speaker |
SPEAKER_00 |
transcript.pyannote[2101].start |
11681.46284375 |
transcript.pyannote[2101].end |
11683.21784375 |
transcript.pyannote[2102].speaker |
SPEAKER_00 |
transcript.pyannote[2102].start |
11683.82534375 |
transcript.pyannote[2102].end |
11688.53346875 |
transcript.pyannote[2103].speaker |
SPEAKER_00 |
transcript.pyannote[2103].start |
11689.78221875 |
transcript.pyannote[2103].end |
11693.34284375 |
transcript.pyannote[2104].speaker |
SPEAKER_15 |
transcript.pyannote[2104].start |
11691.21659375 |
transcript.pyannote[2104].end |
11692.12784375 |
transcript.pyannote[2105].speaker |
SPEAKER_15 |
transcript.pyannote[2105].start |
11693.25846875 |
transcript.pyannote[2105].end |
11694.18659375 |
transcript.pyannote[2106].speaker |
SPEAKER_00 |
transcript.pyannote[2106].start |
11696.75159375 |
transcript.pyannote[2106].end |
11697.19034375 |
transcript.pyannote[2107].speaker |
SPEAKER_00 |
transcript.pyannote[2107].start |
11697.42659375 |
transcript.pyannote[2107].end |
11697.76409375 |
transcript.pyannote[2108].speaker |
SPEAKER_00 |
transcript.pyannote[2108].start |
11698.05096875 |
transcript.pyannote[2108].end |
11698.91159375 |
transcript.pyannote[2109].speaker |
SPEAKER_00 |
transcript.pyannote[2109].start |
11699.16471875 |
transcript.pyannote[2109].end |
11700.56534375 |
transcript.pyannote[2110].speaker |
SPEAKER_00 |
transcript.pyannote[2110].start |
11701.64534375 |
transcript.pyannote[2110].end |
11703.70409375 |
transcript.pyannote[2111].speaker |
SPEAKER_00 |
transcript.pyannote[2111].start |
11703.88971875 |
transcript.pyannote[2111].end |
11705.69534375 |
transcript.pyannote[2112].speaker |
SPEAKER_00 |
transcript.pyannote[2112].start |
11706.57284375 |
transcript.pyannote[2112].end |
11710.15034375 |
transcript.pyannote[2113].speaker |
SPEAKER_00 |
transcript.pyannote[2113].start |
11710.20096875 |
transcript.pyannote[2113].end |
11710.21784375 |
transcript.pyannote[2114].speaker |
SPEAKER_00 |
transcript.pyannote[2114].start |
11710.26846875 |
transcript.pyannote[2114].end |
11711.17971875 |
transcript.pyannote[2115].speaker |
SPEAKER_16 |
transcript.pyannote[2115].start |
11711.17971875 |
transcript.pyannote[2115].end |
11715.38159375 |
transcript.pyannote[2116].speaker |
SPEAKER_00 |
transcript.pyannote[2116].start |
11711.21346875 |
transcript.pyannote[2116].end |
11712.19221875 |
transcript.pyannote[2117].speaker |
SPEAKER_16 |
transcript.pyannote[2117].start |
11715.85409375 |
transcript.pyannote[2117].end |
11718.72284375 |
transcript.pyannote[2118].speaker |
SPEAKER_16 |
transcript.pyannote[2118].start |
11719.49909375 |
transcript.pyannote[2118].end |
11722.94159375 |
transcript.pyannote[2119].speaker |
SPEAKER_16 |
transcript.pyannote[2119].start |
11723.16096875 |
transcript.pyannote[2119].end |
11723.19471875 |
transcript.pyannote[2120].speaker |
SPEAKER_00 |
transcript.pyannote[2120].start |
11723.19471875 |
transcript.pyannote[2120].end |
11724.07221875 |
transcript.pyannote[2121].speaker |
SPEAKER_00 |
transcript.pyannote[2121].start |
11724.61221875 |
transcript.pyannote[2121].end |
11725.38846875 |
transcript.pyannote[2122].speaker |
SPEAKER_00 |
transcript.pyannote[2122].start |
11725.55721875 |
transcript.pyannote[2122].end |
11726.87346875 |
transcript.pyannote[2123].speaker |
SPEAKER_00 |
transcript.pyannote[2123].start |
11727.31221875 |
transcript.pyannote[2123].end |
11730.50159375 |
transcript.pyannote[2124].speaker |
SPEAKER_00 |
transcript.pyannote[2124].start |
11731.22721875 |
transcript.pyannote[2124].end |
11732.76284375 |
transcript.pyannote[2125].speaker |
SPEAKER_00 |
transcript.pyannote[2125].start |
11733.11721875 |
transcript.pyannote[2125].end |
11736.00284375 |
transcript.pyannote[2126].speaker |
SPEAKER_00 |
transcript.pyannote[2126].start |
11736.45846875 |
transcript.pyannote[2126].end |
11737.87596875 |
transcript.pyannote[2127].speaker |
SPEAKER_00 |
transcript.pyannote[2127].start |
11738.19659375 |
transcript.pyannote[2127].end |
11739.39471875 |
transcript.pyannote[2128].speaker |
SPEAKER_00 |
transcript.pyannote[2128].start |
11739.96846875 |
transcript.pyannote[2128].end |
11741.63909375 |
transcript.pyannote[2129].speaker |
SPEAKER_16 |
transcript.pyannote[2129].start |
11741.63909375 |
transcript.pyannote[2129].end |
11741.77409375 |
transcript.pyannote[2130].speaker |
SPEAKER_16 |
transcript.pyannote[2130].start |
11742.17909375 |
transcript.pyannote[2130].end |
11742.53346875 |
transcript.pyannote[2131].speaker |
SPEAKER_00 |
transcript.pyannote[2131].start |
11743.12409375 |
transcript.pyannote[2131].end |
11743.14096875 |
transcript.pyannote[2132].speaker |
SPEAKER_16 |
transcript.pyannote[2132].start |
11743.14096875 |
transcript.pyannote[2132].end |
11750.81909375 |
transcript.pyannote[2133].speaker |
SPEAKER_00 |
transcript.pyannote[2133].start |
11747.12346875 |
transcript.pyannote[2133].end |
11747.61284375 |
transcript.pyannote[2134].speaker |
SPEAKER_16 |
transcript.pyannote[2134].start |
11750.92034375 |
transcript.pyannote[2134].end |
11759.66159375 |
transcript.pyannote[2135].speaker |
SPEAKER_00 |
transcript.pyannote[2135].start |
11759.66159375 |
transcript.pyannote[2135].end |
11761.66971875 |
transcript.pyannote[2136].speaker |
SPEAKER_00 |
transcript.pyannote[2136].start |
11762.05784375 |
transcript.pyannote[2136].end |
11764.77471875 |
transcript.pyannote[2137].speaker |
SPEAKER_16 |
transcript.pyannote[2137].start |
11764.77471875 |
transcript.pyannote[2137].end |
11767.77846875 |
transcript.pyannote[2138].speaker |
SPEAKER_00 |
transcript.pyannote[2138].start |
11764.97721875 |
transcript.pyannote[2138].end |
11765.63534375 |
transcript.pyannote[2139].speaker |
SPEAKER_16 |
transcript.pyannote[2139].start |
11768.23409375 |
transcript.pyannote[2139].end |
11773.80284375 |
transcript.pyannote[2140].speaker |
SPEAKER_00 |
transcript.pyannote[2140].start |
11771.84534375 |
transcript.pyannote[2140].end |
11774.79846875 |
transcript.pyannote[2141].speaker |
SPEAKER_00 |
transcript.pyannote[2141].start |
11774.96721875 |
transcript.pyannote[2141].end |
11779.59096875 |
transcript.pyannote[2142].speaker |
SPEAKER_16 |
transcript.pyannote[2142].start |
11777.43096875 |
transcript.pyannote[2142].end |
11777.80221875 |
transcript.pyannote[2143].speaker |
SPEAKER_00 |
transcript.pyannote[2143].start |
11779.87784375 |
transcript.pyannote[2143].end |
11783.47221875 |
transcript.pyannote[2144].speaker |
SPEAKER_16 |
transcript.pyannote[2144].start |
11780.04659375 |
transcript.pyannote[2144].end |
11780.09721875 |
transcript.pyannote[2145].speaker |
SPEAKER_28 |
transcript.pyannote[2145].start |
11780.09721875 |
transcript.pyannote[2145].end |
11780.24909375 |
transcript.pyannote[2146].speaker |
SPEAKER_00 |
transcript.pyannote[2146].start |
11784.11346875 |
transcript.pyannote[2146].end |
11784.16409375 |
transcript.pyannote[2147].speaker |
SPEAKER_00 |
transcript.pyannote[2147].start |
11784.60284375 |
transcript.pyannote[2147].end |
11785.64909375 |
transcript.pyannote[2148].speaker |
SPEAKER_00 |
transcript.pyannote[2148].start |
11786.18909375 |
transcript.pyannote[2148].end |
11787.26909375 |
transcript.pyannote[2149].speaker |
SPEAKER_00 |
transcript.pyannote[2149].start |
11787.58971875 |
transcript.pyannote[2149].end |
11788.99034375 |
transcript.pyannote[2150].speaker |
SPEAKER_00 |
transcript.pyannote[2150].start |
11789.37846875 |
transcript.pyannote[2150].end |
11791.92659375 |
transcript.pyannote[2151].speaker |
SPEAKER_00 |
transcript.pyannote[2151].start |
11791.97721875 |
transcript.pyannote[2151].end |
11795.85846875 |
transcript.pyannote[2152].speaker |
SPEAKER_00 |
transcript.pyannote[2152].start |
11796.29721875 |
transcript.pyannote[2152].end |
11797.22534375 |
transcript.pyannote[2153].speaker |
SPEAKER_00 |
transcript.pyannote[2153].start |
11797.74846875 |
transcript.pyannote[2153].end |
11799.28409375 |
transcript.pyannote[2154].speaker |
SPEAKER_00 |
transcript.pyannote[2154].start |
11800.21221875 |
transcript.pyannote[2154].end |
11802.74346875 |
transcript.pyannote[2155].speaker |
SPEAKER_15 |
transcript.pyannote[2155].start |
11806.28721875 |
transcript.pyannote[2155].end |
11807.02971875 |
transcript.pyannote[2156].speaker |
SPEAKER_15 |
transcript.pyannote[2156].start |
11807.08034375 |
transcript.pyannote[2156].end |
11807.36721875 |
transcript.pyannote[2157].speaker |
SPEAKER_00 |
transcript.pyannote[2157].start |
11813.15534375 |
transcript.pyannote[2157].end |
11818.04909375 |
transcript.pyannote[2158].speaker |
SPEAKER_00 |
transcript.pyannote[2158].start |
11819.06159375 |
transcript.pyannote[2158].end |
11819.36534375 |
transcript.pyannote[2159].speaker |
SPEAKER_00 |
transcript.pyannote[2159].start |
11819.66909375 |
transcript.pyannote[2159].end |
11822.62221875 |
transcript.pyannote[2160].speaker |
SPEAKER_00 |
transcript.pyannote[2160].start |
11822.80784375 |
transcript.pyannote[2160].end |
11828.39346875 |
transcript.pyannote[2161].speaker |
SPEAKER_00 |
transcript.pyannote[2161].start |
11830.08096875 |
transcript.pyannote[2161].end |
11830.97534375 |
transcript.pyannote[2162].speaker |
SPEAKER_24 |
transcript.pyannote[2162].start |
11830.97534375 |
transcript.pyannote[2162].end |
11838.87284375 |
transcript.pyannote[2163].speaker |
SPEAKER_24 |
transcript.pyannote[2163].start |
11839.37909375 |
transcript.pyannote[2163].end |
11839.86846875 |
transcript.pyannote[2164].speaker |
SPEAKER_24 |
transcript.pyannote[2164].start |
11840.50971875 |
transcript.pyannote[2164].end |
11840.54346875 |
transcript.pyannote[2165].speaker |
SPEAKER_00 |
transcript.pyannote[2165].start |
11840.54346875 |
transcript.pyannote[2165].end |
11843.98596875 |
transcript.pyannote[2166].speaker |
SPEAKER_00 |
transcript.pyannote[2166].start |
11844.45846875 |
transcript.pyannote[2166].end |
11847.46221875 |
transcript.pyannote[2167].speaker |
SPEAKER_00 |
transcript.pyannote[2167].start |
11848.20471875 |
transcript.pyannote[2167].end |
11848.96409375 |
transcript.pyannote[2168].speaker |
SPEAKER_00 |
transcript.pyannote[2168].start |
11849.63909375 |
transcript.pyannote[2168].end |
11853.53721875 |
transcript.pyannote[2169].speaker |
SPEAKER_00 |
transcript.pyannote[2169].start |
11853.82409375 |
transcript.pyannote[2169].end |
11855.39346875 |
transcript.pyannote[2170].speaker |
SPEAKER_33 |
transcript.pyannote[2170].start |
11855.68034375 |
transcript.pyannote[2170].end |
11855.93346875 |
transcript.pyannote[2171].speaker |
SPEAKER_00 |
transcript.pyannote[2171].start |
11855.93346875 |
transcript.pyannote[2171].end |
11856.62534375 |
transcript.pyannote[2172].speaker |
SPEAKER_00 |
transcript.pyannote[2172].start |
11857.24971875 |
transcript.pyannote[2172].end |
11859.12284375 |
transcript.pyannote[2173].speaker |
SPEAKER_00 |
transcript.pyannote[2173].start |
11860.64159375 |
transcript.pyannote[2173].end |
11869.12971875 |
transcript.pyannote[2174].speaker |
SPEAKER_00 |
transcript.pyannote[2174].start |
11870.04096875 |
transcript.pyannote[2174].end |
11871.77909375 |
transcript.pyannote[2175].speaker |
SPEAKER_00 |
transcript.pyannote[2175].start |
11871.86346875 |
transcript.pyannote[2175].end |
11873.33159375 |
transcript.pyannote[2176].speaker |
SPEAKER_00 |
transcript.pyannote[2176].start |
11873.97284375 |
transcript.pyannote[2176].end |
11878.79909375 |
transcript.pyannote[2177].speaker |
SPEAKER_00 |
transcript.pyannote[2177].start |
11879.45721875 |
transcript.pyannote[2177].end |
11882.96721875 |
transcript.pyannote[2178].speaker |
SPEAKER_00 |
transcript.pyannote[2178].start |
11883.43971875 |
transcript.pyannote[2178].end |
11885.17784375 |
transcript.pyannote[2179].speaker |
SPEAKER_00 |
transcript.pyannote[2179].start |
11885.63346875 |
transcript.pyannote[2179].end |
11889.73409375 |
transcript.pyannote[2180].speaker |
SPEAKER_00 |
transcript.pyannote[2180].start |
11890.35846875 |
transcript.pyannote[2180].end |
11891.45534375 |
transcript.pyannote[2181].speaker |
SPEAKER_00 |
transcript.pyannote[2181].start |
11892.21471875 |
transcript.pyannote[2181].end |
11893.10909375 |
transcript.pyannote[2182].speaker |
SPEAKER_00 |
transcript.pyannote[2182].start |
11894.00346875 |
transcript.pyannote[2182].end |
11898.64409375 |
transcript.pyannote[2183].speaker |
SPEAKER_00 |
transcript.pyannote[2183].start |
11899.20096875 |
transcript.pyannote[2183].end |
11901.95159375 |
transcript.pyannote[2184].speaker |
SPEAKER_00 |
transcript.pyannote[2184].start |
11902.62659375 |
transcript.pyannote[2184].end |
11906.38971875 |
transcript.pyannote[2185].speaker |
SPEAKER_00 |
transcript.pyannote[2185].start |
11907.01409375 |
transcript.pyannote[2185].end |
11909.73096875 |
transcript.pyannote[2186].speaker |
SPEAKER_00 |
transcript.pyannote[2186].start |
11910.20346875 |
transcript.pyannote[2186].end |
11913.34221875 |
transcript.pyannote[2187].speaker |
SPEAKER_00 |
transcript.pyannote[2187].start |
11913.83159375 |
transcript.pyannote[2187].end |
11917.69596875 |
transcript.pyannote[2188].speaker |
SPEAKER_00 |
transcript.pyannote[2188].start |
11918.40471875 |
transcript.pyannote[2188].end |
11920.51409375 |
transcript.pyannote[2189].speaker |
SPEAKER_00 |
transcript.pyannote[2189].start |
11921.10471875 |
transcript.pyannote[2189].end |
11923.70346875 |
transcript.pyannote[2190].speaker |
SPEAKER_00 |
transcript.pyannote[2190].start |
11924.10846875 |
transcript.pyannote[2190].end |
11925.49221875 |
transcript.pyannote[2191].speaker |
SPEAKER_00 |
transcript.pyannote[2191].start |
11925.98159375 |
transcript.pyannote[2191].end |
11927.60159375 |
transcript.pyannote[2192].speaker |
SPEAKER_00 |
transcript.pyannote[2192].start |
11928.37784375 |
transcript.pyannote[2192].end |
11930.03159375 |
transcript.pyannote[2193].speaker |
SPEAKER_00 |
transcript.pyannote[2193].start |
11930.62221875 |
transcript.pyannote[2193].end |
11931.83721875 |
transcript.pyannote[2194].speaker |
SPEAKER_00 |
transcript.pyannote[2194].start |
11932.27596875 |
transcript.pyannote[2194].end |
11933.42346875 |
transcript.pyannote[2195].speaker |
SPEAKER_00 |
transcript.pyannote[2195].start |
11933.71034375 |
transcript.pyannote[2195].end |
11936.03909375 |
transcript.pyannote[2196].speaker |
SPEAKER_00 |
transcript.pyannote[2196].start |
11936.74784375 |
transcript.pyannote[2196].end |
11942.46846875 |
transcript.pyannote[2197].speaker |
SPEAKER_00 |
transcript.pyannote[2197].start |
11943.12659375 |
transcript.pyannote[2197].end |
11945.52284375 |
transcript.pyannote[2198].speaker |
SPEAKER_00 |
transcript.pyannote[2198].start |
11946.41721875 |
transcript.pyannote[2198].end |
11947.15971875 |
transcript.pyannote[2199].speaker |
SPEAKER_00 |
transcript.pyannote[2199].start |
11948.02034375 |
transcript.pyannote[2199].end |
11948.99909375 |
transcript.pyannote[2200].speaker |
SPEAKER_00 |
transcript.pyannote[2200].start |
11949.82596875 |
transcript.pyannote[2200].end |
11950.51784375 |
transcript.pyannote[2201].speaker |
SPEAKER_00 |
transcript.pyannote[2201].start |
11950.97346875 |
transcript.pyannote[2201].end |
11952.10409375 |
transcript.pyannote[2202].speaker |
SPEAKER_00 |
transcript.pyannote[2202].start |
11953.63971875 |
transcript.pyannote[2202].end |
11955.25971875 |
transcript.pyannote[2203].speaker |
SPEAKER_00 |
transcript.pyannote[2203].start |
11956.23846875 |
transcript.pyannote[2203].end |
11958.41534375 |
transcript.pyannote[2204].speaker |
SPEAKER_00 |
transcript.pyannote[2204].start |
11959.14096875 |
transcript.pyannote[2204].end |
11961.52034375 |
transcript.pyannote[2205].speaker |
SPEAKER_00 |
transcript.pyannote[2205].start |
11962.33034375 |
transcript.pyannote[2205].end |
11964.54096875 |
transcript.pyannote[2206].speaker |
SPEAKER_00 |
transcript.pyannote[2206].start |
11965.30034375 |
transcript.pyannote[2206].end |
11967.54471875 |
transcript.pyannote[2207].speaker |
SPEAKER_00 |
transcript.pyannote[2207].start |
11968.01721875 |
transcript.pyannote[2207].end |
11971.47659375 |
transcript.pyannote[2208].speaker |
SPEAKER_00 |
transcript.pyannote[2208].start |
11971.84784375 |
transcript.pyannote[2208].end |
11973.34971875 |
transcript.pyannote[2209].speaker |
SPEAKER_00 |
transcript.pyannote[2209].start |
11973.63659375 |
transcript.pyannote[2209].end |
11977.46721875 |
transcript.pyannote[2210].speaker |
SPEAKER_00 |
transcript.pyannote[2210].start |
11978.44596875 |
transcript.pyannote[2210].end |
11980.65659375 |
transcript.pyannote[2211].speaker |
SPEAKER_00 |
transcript.pyannote[2211].start |
11981.66909375 |
transcript.pyannote[2211].end |
11983.77846875 |
transcript.pyannote[2212].speaker |
SPEAKER_00 |
transcript.pyannote[2212].start |
11984.01471875 |
transcript.pyannote[2212].end |
11984.50409375 |
transcript.pyannote[2213].speaker |
SPEAKER_00 |
transcript.pyannote[2213].start |
11985.14534375 |
transcript.pyannote[2213].end |
11986.37721875 |
transcript.pyannote[2214].speaker |
SPEAKER_00 |
transcript.pyannote[2214].start |
11986.98471875 |
transcript.pyannote[2214].end |
11988.67221875 |
transcript.pyannote[2215].speaker |
SPEAKER_00 |
transcript.pyannote[2215].start |
11989.68471875 |
transcript.pyannote[2215].end |
11992.03034375 |
transcript.pyannote[2216].speaker |
SPEAKER_00 |
transcript.pyannote[2216].start |
11992.51971875 |
transcript.pyannote[2216].end |
11992.95846875 |
transcript.pyannote[2217].speaker |
SPEAKER_00 |
transcript.pyannote[2217].start |
11993.31284375 |
transcript.pyannote[2217].end |
12000.85596875 |
transcript.pyannote[2218].speaker |
SPEAKER_00 |
transcript.pyannote[2218].start |
12001.59846875 |
transcript.pyannote[2218].end |
12003.16784375 |
transcript.pyannote[2219].speaker |
SPEAKER_00 |
transcript.pyannote[2219].start |
12003.53909375 |
transcript.pyannote[2219].end |
12014.35596875 |
transcript.pyannote[2220].speaker |
SPEAKER_00 |
transcript.pyannote[2220].start |
12015.01409375 |
transcript.pyannote[2220].end |
12017.24159375 |
transcript.pyannote[2221].speaker |
SPEAKER_00 |
transcript.pyannote[2221].start |
12017.91659375 |
transcript.pyannote[2221].end |
12019.77284375 |
transcript.pyannote[2222].speaker |
SPEAKER_00 |
transcript.pyannote[2222].start |
12020.41409375 |
transcript.pyannote[2222].end |
12024.00846875 |
transcript.pyannote[2223].speaker |
SPEAKER_00 |
transcript.pyannote[2223].start |
12024.93659375 |
transcript.pyannote[2223].end |
12029.03721875 |
transcript.pyannote[2224].speaker |
SPEAKER_00 |
transcript.pyannote[2224].start |
12029.34096875 |
transcript.pyannote[2224].end |
12040.69784375 |
transcript.pyannote[2225].speaker |
SPEAKER_00 |
transcript.pyannote[2225].start |
12041.94659375 |
transcript.pyannote[2225].end |
12048.22409375 |
transcript.pyannote[2226].speaker |
SPEAKER_00 |
transcript.pyannote[2226].start |
12049.01721875 |
transcript.pyannote[2226].end |
12055.26096875 |
transcript.pyannote[2227].speaker |
SPEAKER_00 |
transcript.pyannote[2227].start |
12055.81784375 |
transcript.pyannote[2227].end |
12057.50534375 |
transcript.pyannote[2228].speaker |
SPEAKER_00 |
transcript.pyannote[2228].start |
12058.11284375 |
transcript.pyannote[2228].end |
12060.08721875 |
transcript.pyannote[2229].speaker |
SPEAKER_00 |
transcript.pyannote[2229].start |
12060.72846875 |
transcript.pyannote[2229].end |
12063.61409375 |
transcript.pyannote[2230].speaker |
SPEAKER_00 |
transcript.pyannote[2230].start |
12064.15409375 |
transcript.pyannote[2230].end |
12066.44909375 |
transcript.pyannote[2231].speaker |
SPEAKER_00 |
transcript.pyannote[2231].start |
12066.87096875 |
transcript.pyannote[2231].end |
12068.81159375 |
transcript.pyannote[2232].speaker |
SPEAKER_15 |
transcript.pyannote[2232].start |
12069.72284375 |
transcript.pyannote[2232].end |
12070.24596875 |
transcript.pyannote[2233].speaker |
SPEAKER_15 |
transcript.pyannote[2233].start |
12071.66346875 |
transcript.pyannote[2233].end |
12074.65034375 |
transcript.pyannote[2234].speaker |
SPEAKER_15 |
transcript.pyannote[2234].start |
12075.39284375 |
transcript.pyannote[2234].end |
12075.81471875 |
transcript.pyannote[2235].speaker |
SPEAKER_15 |
transcript.pyannote[2235].start |
12076.54034375 |
transcript.pyannote[2235].end |
12083.18909375 |
transcript.pyannote[2236].speaker |
SPEAKER_15 |
transcript.pyannote[2236].start |
12083.67846875 |
transcript.pyannote[2236].end |
12084.03284375 |
transcript.pyannote[2237].speaker |
SPEAKER_20 |
transcript.pyannote[2237].start |
12084.03284375 |
transcript.pyannote[2237].end |
12087.62721875 |
transcript.pyannote[2238].speaker |
SPEAKER_20 |
transcript.pyannote[2238].start |
12088.04909375 |
transcript.pyannote[2238].end |
12088.79159375 |
transcript.pyannote[2239].speaker |
SPEAKER_20 |
transcript.pyannote[2239].start |
12092.67284375 |
transcript.pyannote[2239].end |
12092.87534375 |
transcript.pyannote[2240].speaker |
SPEAKER_20 |
transcript.pyannote[2240].start |
12093.46596875 |
transcript.pyannote[2240].end |
12094.95096875 |
transcript.pyannote[2241].speaker |
SPEAKER_20 |
transcript.pyannote[2241].start |
12095.52471875 |
transcript.pyannote[2241].end |
12119.68971875 |
transcript.pyannote[2242].speaker |
SPEAKER_27 |
transcript.pyannote[2242].start |
12120.87096875 |
transcript.pyannote[2242].end |
12126.35534375 |
transcript.pyannote[2243].speaker |
SPEAKER_27 |
transcript.pyannote[2243].start |
12126.79409375 |
transcript.pyannote[2243].end |
12135.18096875 |
transcript.pyannote[2244].speaker |
SPEAKER_27 |
transcript.pyannote[2244].start |
12135.83909375 |
transcript.pyannote[2244].end |
12152.32596875 |
transcript.pyannote[2245].speaker |
SPEAKER_27 |
transcript.pyannote[2245].start |
12152.78159375 |
transcript.pyannote[2245].end |
12159.16034375 |
transcript.pyannote[2246].speaker |
SPEAKER_27 |
transcript.pyannote[2246].start |
12159.58221875 |
transcript.pyannote[2246].end |
12164.35784375 |
transcript.pyannote[2247].speaker |
SPEAKER_27 |
transcript.pyannote[2247].start |
12164.62784375 |
transcript.pyannote[2247].end |
12168.12096875 |
transcript.pyannote[2248].speaker |
SPEAKER_20 |
transcript.pyannote[2248].start |
12168.12096875 |
transcript.pyannote[2248].end |
12168.13784375 |
transcript.pyannote[2249].speaker |
SPEAKER_20 |
transcript.pyannote[2249].start |
12168.20534375 |
transcript.pyannote[2249].end |
12168.25596875 |
transcript.pyannote[2250].speaker |
SPEAKER_27 |
transcript.pyannote[2250].start |
12168.25596875 |
transcript.pyannote[2250].end |
12169.03221875 |
transcript.pyannote[2251].speaker |
SPEAKER_20 |
transcript.pyannote[2251].start |
12169.03221875 |
transcript.pyannote[2251].end |
12169.48784375 |
transcript.pyannote[2252].speaker |
SPEAKER_27 |
transcript.pyannote[2252].start |
12169.48784375 |
transcript.pyannote[2252].end |
12170.78721875 |
transcript.pyannote[2253].speaker |
SPEAKER_20 |
transcript.pyannote[2253].start |
12170.21346875 |
transcript.pyannote[2253].end |
12179.71409375 |
transcript.pyannote[2254].speaker |
SPEAKER_30 |
transcript.pyannote[2254].start |
12180.47346875 |
transcript.pyannote[2254].end |
12183.94971875 |
transcript.pyannote[2255].speaker |
SPEAKER_30 |
transcript.pyannote[2255].start |
12184.21971875 |
transcript.pyannote[2255].end |
12190.96971875 |
transcript.pyannote[2256].speaker |
SPEAKER_20 |
transcript.pyannote[2256].start |
12190.96971875 |
transcript.pyannote[2256].end |
12214.93221875 |
transcript.pyannote[2257].speaker |
SPEAKER_20 |
transcript.pyannote[2257].start |
12215.42159375 |
transcript.pyannote[2257].end |
12221.44596875 |
transcript.pyannote[2258].speaker |
SPEAKER_16 |
transcript.pyannote[2258].start |
12221.61471875 |
transcript.pyannote[2258].end |
12233.05596875 |
transcript.pyannote[2259].speaker |
SPEAKER_16 |
transcript.pyannote[2259].start |
12233.47784375 |
transcript.pyannote[2259].end |
12253.03596875 |
transcript.pyannote[2260].speaker |
SPEAKER_20 |
transcript.pyannote[2260].start |
12241.62846875 |
transcript.pyannote[2260].end |
12242.86034375 |
transcript.pyannote[2261].speaker |
SPEAKER_20 |
transcript.pyannote[2261].start |
12243.09659375 |
transcript.pyannote[2261].end |
12243.51846875 |
transcript.pyannote[2262].speaker |
SPEAKER_20 |
transcript.pyannote[2262].start |
12253.03596875 |
transcript.pyannote[2262].end |
12253.54221875 |
transcript.pyannote[2263].speaker |
SPEAKER_16 |
transcript.pyannote[2263].start |
12253.54221875 |
transcript.pyannote[2263].end |
12253.55909375 |
transcript.pyannote[2264].speaker |
SPEAKER_20 |
transcript.pyannote[2264].start |
12253.55909375 |
transcript.pyannote[2264].end |
12253.57596875 |
transcript.pyannote[2265].speaker |
SPEAKER_16 |
transcript.pyannote[2265].start |
12254.57159375 |
transcript.pyannote[2265].end |
12254.58846875 |
transcript.pyannote[2266].speaker |
SPEAKER_20 |
transcript.pyannote[2266].start |
12254.58846875 |
transcript.pyannote[2266].end |
12308.20034375 |
transcript.pyannote[2267].speaker |
SPEAKER_20 |
transcript.pyannote[2267].start |
12308.48721875 |
transcript.pyannote[2267].end |
12316.75596875 |
transcript.pyannote[2268].speaker |
SPEAKER_20 |
transcript.pyannote[2268].start |
12317.22846875 |
transcript.pyannote[2268].end |
12327.20159375 |
transcript.pyannote[2269].speaker |
SPEAKER_20 |
transcript.pyannote[2269].start |
12327.75846875 |
transcript.pyannote[2269].end |
12348.34596875 |
transcript.pyannote[2270].speaker |
SPEAKER_20 |
transcript.pyannote[2270].start |
12348.83534375 |
transcript.pyannote[2270].end |
12354.26909375 |
transcript.pyannote[2271].speaker |
SPEAKER_20 |
transcript.pyannote[2271].start |
12354.58971875 |
transcript.pyannote[2271].end |
12357.96471875 |
transcript.pyannote[2272].speaker |
SPEAKER_27 |
transcript.pyannote[2272].start |
12357.96471875 |
transcript.pyannote[2272].end |
12358.23471875 |
transcript.pyannote[2273].speaker |
SPEAKER_27 |
transcript.pyannote[2273].start |
12358.53846875 |
transcript.pyannote[2273].end |
12373.81034375 |
transcript.pyannote[2274].speaker |
SPEAKER_27 |
transcript.pyannote[2274].start |
12375.21096875 |
transcript.pyannote[2274].end |
12377.94471875 |
transcript.pyannote[2275].speaker |
SPEAKER_20 |
transcript.pyannote[2275].start |
12377.94471875 |
transcript.pyannote[2275].end |
12377.97846875 |
transcript.pyannote[2276].speaker |
SPEAKER_27 |
transcript.pyannote[2276].start |
12378.58596875 |
transcript.pyannote[2276].end |
12378.60284375 |
transcript.pyannote[2277].speaker |
SPEAKER_20 |
transcript.pyannote[2277].start |
12378.60284375 |
transcript.pyannote[2277].end |
12379.42971875 |
transcript.pyannote[2278].speaker |
SPEAKER_20 |
transcript.pyannote[2278].start |
12379.49721875 |
transcript.pyannote[2278].end |
12422.51159375 |
transcript.pyannote[2279].speaker |
SPEAKER_28 |
transcript.pyannote[2279].start |
12383.54721875 |
transcript.pyannote[2279].end |
12383.96909375 |
transcript.pyannote[2280].speaker |
SPEAKER_00 |
transcript.pyannote[2280].start |
12383.96909375 |
transcript.pyannote[2280].end |
12384.05346875 |
transcript.pyannote[2281].speaker |
SPEAKER_20 |
transcript.pyannote[2281].start |
12422.64659375 |
transcript.pyannote[2281].end |
12424.97534375 |
transcript.pyannote[2282].speaker |
SPEAKER_27 |
transcript.pyannote[2282].start |
12422.88284375 |
transcript.pyannote[2282].end |
12423.32159375 |
transcript.pyannote[2283].speaker |
SPEAKER_27 |
transcript.pyannote[2283].start |
12424.97534375 |
transcript.pyannote[2283].end |
12425.36346875 |
transcript.pyannote[2284].speaker |
SPEAKER_20 |
transcript.pyannote[2284].start |
12425.36346875 |
transcript.pyannote[2284].end |
12431.57346875 |
transcript.pyannote[2285].speaker |
SPEAKER_27 |
transcript.pyannote[2285].start |
12425.44784375 |
transcript.pyannote[2285].end |
12425.80221875 |
transcript.pyannote[2286].speaker |
SPEAKER_27 |
transcript.pyannote[2286].start |
12428.28284375 |
transcript.pyannote[2286].end |
12428.62034375 |
transcript.pyannote[2287].speaker |
SPEAKER_20 |
transcript.pyannote[2287].start |
12432.23159375 |
transcript.pyannote[2287].end |
12441.81659375 |
transcript.pyannote[2288].speaker |
SPEAKER_20 |
transcript.pyannote[2288].start |
12442.12034375 |
transcript.pyannote[2288].end |
12443.82471875 |
transcript.pyannote[2289].speaker |
SPEAKER_20 |
transcript.pyannote[2289].start |
12444.28034375 |
transcript.pyannote[2289].end |
12447.14909375 |
transcript.pyannote[2290].speaker |
SPEAKER_20 |
transcript.pyannote[2290].start |
12447.60471875 |
transcript.pyannote[2290].end |
12447.89159375 |
transcript.pyannote[2291].speaker |
SPEAKER_20 |
transcript.pyannote[2291].start |
12448.39784375 |
transcript.pyannote[2291].end |
12458.96159375 |
transcript.pyannote[2292].speaker |
SPEAKER_20 |
transcript.pyannote[2292].start |
12459.34971875 |
transcript.pyannote[2292].end |
12461.57721875 |
transcript.pyannote[2293].speaker |
SPEAKER_30 |
transcript.pyannote[2293].start |
12461.57721875 |
transcript.pyannote[2293].end |
12461.76284375 |
transcript.pyannote[2294].speaker |
SPEAKER_20 |
transcript.pyannote[2294].start |
12461.76284375 |
transcript.pyannote[2294].end |
12500.79471875 |
transcript.pyannote[2295].speaker |
SPEAKER_20 |
transcript.pyannote[2295].start |
12501.06471875 |
transcript.pyannote[2295].end |
12501.77346875 |
transcript.pyannote[2296].speaker |
SPEAKER_20 |
transcript.pyannote[2296].start |
12502.14471875 |
transcript.pyannote[2296].end |
12502.76909375 |
transcript.pyannote[2297].speaker |
SPEAKER_20 |
transcript.pyannote[2297].start |
12503.00534375 |
transcript.pyannote[2297].end |
12504.32159375 |
transcript.pyannote[2298].speaker |
SPEAKER_20 |
transcript.pyannote[2298].start |
12504.55784375 |
transcript.pyannote[2298].end |
12507.32534375 |
transcript.pyannote[2299].speaker |
SPEAKER_20 |
transcript.pyannote[2299].start |
12509.14784375 |
transcript.pyannote[2299].end |
12509.80596875 |
transcript.pyannote[2300].speaker |
SPEAKER_06 |
transcript.pyannote[2300].start |
12509.67096875 |
transcript.pyannote[2300].end |
12511.08846875 |
transcript.pyannote[2301].speaker |
SPEAKER_20 |
transcript.pyannote[2301].start |
12512.87721875 |
transcript.pyannote[2301].end |
12513.09659375 |
transcript.pyannote[2302].speaker |
SPEAKER_20 |
transcript.pyannote[2302].start |
12513.58596875 |
transcript.pyannote[2302].end |
12514.31159375 |
transcript.pyannote[2303].speaker |
SPEAKER_20 |
transcript.pyannote[2303].start |
12514.73346875 |
transcript.pyannote[2303].end |
12519.76221875 |
transcript.pyannote[2304].speaker |
SPEAKER_24 |
transcript.pyannote[2304].start |
12519.76221875 |
transcript.pyannote[2304].end |
12519.89721875 |
transcript.pyannote[2305].speaker |
SPEAKER_24 |
transcript.pyannote[2305].start |
12520.21784375 |
transcript.pyannote[2305].end |
12532.19909375 |
transcript.pyannote[2306].speaker |
SPEAKER_24 |
transcript.pyannote[2306].start |
12532.31721875 |
transcript.pyannote[2306].end |
12550.20471875 |
transcript.pyannote[2307].speaker |
SPEAKER_20 |
transcript.pyannote[2307].start |
12550.08659375 |
transcript.pyannote[2307].end |
12550.15409375 |
transcript.pyannote[2308].speaker |
SPEAKER_20 |
transcript.pyannote[2308].start |
12550.20471875 |
transcript.pyannote[2308].end |
12557.74784375 |
transcript.pyannote[2309].speaker |
SPEAKER_20 |
transcript.pyannote[2309].start |
12558.38909375 |
transcript.pyannote[2309].end |
12558.96284375 |
transcript.pyannote[2310].speaker |
SPEAKER_24 |
transcript.pyannote[2310].start |
12558.96284375 |
transcript.pyannote[2310].end |
12574.48784375 |
transcript.pyannote[2311].speaker |
SPEAKER_24 |
transcript.pyannote[2311].start |
12575.07846875 |
transcript.pyannote[2311].end |
12578.03159375 |
transcript.pyannote[2312].speaker |
SPEAKER_20 |
transcript.pyannote[2312].start |
12578.03159375 |
transcript.pyannote[2312].end |
12583.04346875 |
transcript.pyannote[2313].speaker |
SPEAKER_20 |
transcript.pyannote[2313].start |
12583.24596875 |
transcript.pyannote[2313].end |
12585.18659375 |
transcript.pyannote[2314].speaker |
SPEAKER_16 |
transcript.pyannote[2314].start |
12590.13096875 |
transcript.pyannote[2314].end |
12596.37471875 |
transcript.pyannote[2315].speaker |
SPEAKER_20 |
transcript.pyannote[2315].start |
12596.37471875 |
transcript.pyannote[2315].end |
12596.52659375 |
transcript.pyannote[2316].speaker |
SPEAKER_16 |
transcript.pyannote[2316].start |
12596.52659375 |
transcript.pyannote[2316].end |
12597.43784375 |
transcript.pyannote[2317].speaker |
SPEAKER_20 |
transcript.pyannote[2317].start |
12597.43784375 |
transcript.pyannote[2317].end |
12597.45471875 |
transcript.pyannote[2318].speaker |
SPEAKER_16 |
transcript.pyannote[2318].start |
12597.45471875 |
transcript.pyannote[2318].end |
12597.47159375 |
transcript.pyannote[2319].speaker |
SPEAKER_20 |
transcript.pyannote[2319].start |
12597.47159375 |
transcript.pyannote[2319].end |
12597.82596875 |
transcript.pyannote[2320].speaker |
SPEAKER_16 |
transcript.pyannote[2320].start |
12597.48846875 |
transcript.pyannote[2320].end |
12597.79221875 |
transcript.pyannote[2321].speaker |
SPEAKER_16 |
transcript.pyannote[2321].start |
12597.82596875 |
transcript.pyannote[2321].end |
12597.85971875 |
transcript.pyannote[2322].speaker |
SPEAKER_20 |
transcript.pyannote[2322].start |
12597.85971875 |
transcript.pyannote[2322].end |
12602.87159375 |
transcript.pyannote[2323].speaker |
SPEAKER_16 |
transcript.pyannote[2323].start |
12602.87159375 |
transcript.pyannote[2323].end |
12603.29346875 |
transcript.pyannote[2324].speaker |
SPEAKER_20 |
transcript.pyannote[2324].start |
12603.29346875 |
transcript.pyannote[2324].end |
12604.17096875 |
transcript.pyannote[2325].speaker |
SPEAKER_16 |
transcript.pyannote[2325].start |
12604.17096875 |
transcript.pyannote[2325].end |
12604.27221875 |
transcript.pyannote[2326].speaker |
SPEAKER_20 |
transcript.pyannote[2326].start |
12604.27221875 |
transcript.pyannote[2326].end |
12604.96409375 |
transcript.pyannote[2327].speaker |
SPEAKER_16 |
transcript.pyannote[2327].start |
12604.96409375 |
transcript.pyannote[2327].end |
12609.40221875 |
transcript.pyannote[2328].speaker |
SPEAKER_20 |
transcript.pyannote[2328].start |
12605.13284375 |
transcript.pyannote[2328].end |
12605.52096875 |
transcript.pyannote[2329].speaker |
SPEAKER_20 |
transcript.pyannote[2329].start |
12609.40221875 |
transcript.pyannote[2329].end |
12674.40471875 |
transcript.pyannote[2330].speaker |
SPEAKER_25 |
transcript.pyannote[2330].start |
12625.82159375 |
transcript.pyannote[2330].end |
12626.26034375 |
transcript.pyannote[2331].speaker |
SPEAKER_20 |
transcript.pyannote[2331].start |
12674.55659375 |
transcript.pyannote[2331].end |
12679.09596875 |
transcript.pyannote[2332].speaker |
SPEAKER_16 |
transcript.pyannote[2332].start |
12676.31159375 |
transcript.pyannote[2332].end |
12676.69971875 |
transcript.pyannote[2333].speaker |
SPEAKER_15 |
transcript.pyannote[2333].start |
12679.78784375 |
transcript.pyannote[2333].end |
12704.17221875 |
transcript.pyannote[2334].speaker |
SPEAKER_29 |
transcript.pyannote[2334].start |
12709.40346875 |
transcript.pyannote[2334].end |
12711.17534375 |
transcript.pyannote[2335].speaker |
SPEAKER_29 |
transcript.pyannote[2335].start |
12711.46221875 |
transcript.pyannote[2335].end |
12712.96409375 |
transcript.pyannote[2336].speaker |
SPEAKER_15 |
transcript.pyannote[2336].start |
12712.96409375 |
transcript.pyannote[2336].end |
12713.99346875 |
transcript.pyannote[2337].speaker |
SPEAKER_15 |
transcript.pyannote[2337].start |
12714.58409375 |
transcript.pyannote[2337].end |
12715.81596875 |
transcript.pyannote[2338].speaker |
SPEAKER_27 |
transcript.pyannote[2338].start |
12722.54909375 |
transcript.pyannote[2338].end |
12722.56596875 |
transcript.pyannote[2339].speaker |
SPEAKER_29 |
transcript.pyannote[2339].start |
12722.56596875 |
transcript.pyannote[2339].end |
12723.05534375 |
transcript.pyannote[2340].speaker |
SPEAKER_29 |
transcript.pyannote[2340].start |
12723.56159375 |
transcript.pyannote[2340].end |
12724.28721875 |
transcript.pyannote[2341].speaker |
SPEAKER_29 |
transcript.pyannote[2341].start |
12725.01284375 |
transcript.pyannote[2341].end |
12728.75909375 |
transcript.pyannote[2342].speaker |
SPEAKER_29 |
transcript.pyannote[2342].start |
12728.99534375 |
transcript.pyannote[2342].end |
12730.27784375 |
transcript.pyannote[2343].speaker |
SPEAKER_29 |
transcript.pyannote[2343].start |
12731.44221875 |
transcript.pyannote[2343].end |
12732.53909375 |
transcript.pyannote[2344].speaker |
SPEAKER_29 |
transcript.pyannote[2344].start |
12733.01159375 |
transcript.pyannote[2344].end |
12733.48409375 |
transcript.pyannote[2345].speaker |
SPEAKER_29 |
transcript.pyannote[2345].start |
12734.54721875 |
transcript.pyannote[2345].end |
12736.57221875 |
transcript.pyannote[2346].speaker |
SPEAKER_29 |
transcript.pyannote[2346].start |
12737.80409375 |
transcript.pyannote[2346].end |
12739.05284375 |
transcript.pyannote[2347].speaker |
SPEAKER_29 |
transcript.pyannote[2347].start |
12740.72346875 |
transcript.pyannote[2347].end |
12741.58409375 |
transcript.pyannote[2348].speaker |
SPEAKER_29 |
transcript.pyannote[2348].start |
12742.81596875 |
transcript.pyannote[2348].end |
12744.79034375 |
transcript.pyannote[2349].speaker |
SPEAKER_29 |
transcript.pyannote[2349].start |
12745.88721875 |
transcript.pyannote[2349].end |
12748.73909375 |
transcript.pyannote[2350].speaker |
SPEAKER_29 |
transcript.pyannote[2350].start |
12748.92471875 |
transcript.pyannote[2350].end |
12749.75159375 |
transcript.pyannote[2351].speaker |
SPEAKER_29 |
transcript.pyannote[2351].start |
12750.49409375 |
transcript.pyannote[2351].end |
12752.21534375 |
transcript.pyannote[2352].speaker |
SPEAKER_29 |
transcript.pyannote[2352].start |
12752.35034375 |
transcript.pyannote[2352].end |
12753.59909375 |
transcript.pyannote[2353].speaker |
SPEAKER_29 |
transcript.pyannote[2353].start |
12755.65784375 |
transcript.pyannote[2353].end |
12756.63659375 |
transcript.pyannote[2354].speaker |
SPEAKER_29 |
transcript.pyannote[2354].start |
12756.82221875 |
transcript.pyannote[2354].end |
12758.62784375 |
transcript.pyannote[2355].speaker |
SPEAKER_29 |
transcript.pyannote[2355].start |
12759.33659375 |
transcript.pyannote[2355].end |
12759.45471875 |
transcript.pyannote[2356].speaker |
SPEAKER_04 |
transcript.pyannote[2356].start |
12759.57284375 |
transcript.pyannote[2356].end |
12760.01159375 |
transcript.pyannote[2357].speaker |
SPEAKER_29 |
transcript.pyannote[2357].start |
12760.58534375 |
transcript.pyannote[2357].end |
12761.46284375 |
transcript.pyannote[2358].speaker |
SPEAKER_29 |
transcript.pyannote[2358].start |
12761.69909375 |
transcript.pyannote[2358].end |
12762.30659375 |
transcript.pyannote[2359].speaker |
SPEAKER_29 |
transcript.pyannote[2359].start |
12764.12909375 |
transcript.pyannote[2359].end |
12764.38221875 |
transcript.pyannote[2360].speaker |
SPEAKER_29 |
transcript.pyannote[2360].start |
12764.90534375 |
transcript.pyannote[2360].end |
12766.40721875 |
transcript.pyannote[2361].speaker |
SPEAKER_29 |
transcript.pyannote[2361].start |
12767.01471875 |
transcript.pyannote[2361].end |
12768.88784375 |
transcript.pyannote[2362].speaker |
SPEAKER_29 |
transcript.pyannote[2362].start |
12769.19159375 |
transcript.pyannote[2362].end |
12770.47409375 |
transcript.pyannote[2363].speaker |
SPEAKER_29 |
transcript.pyannote[2363].start |
12771.23346875 |
transcript.pyannote[2363].end |
12772.63409375 |
transcript.pyannote[2364].speaker |
SPEAKER_29 |
transcript.pyannote[2364].start |
12773.34284375 |
transcript.pyannote[2364].end |
12774.65909375 |
transcript.pyannote[2365].speaker |
SPEAKER_29 |
transcript.pyannote[2365].start |
12775.73909375 |
transcript.pyannote[2365].end |
12776.75159375 |
transcript.pyannote[2366].speaker |
SPEAKER_29 |
transcript.pyannote[2366].start |
12778.45596875 |
transcript.pyannote[2366].end |
12779.06346875 |
transcript.pyannote[2367].speaker |
SPEAKER_29 |
transcript.pyannote[2367].start |
12779.78909375 |
transcript.pyannote[2367].end |
12780.64971875 |
transcript.pyannote[2368].speaker |
SPEAKER_29 |
transcript.pyannote[2368].start |
12781.17284375 |
transcript.pyannote[2368].end |
12782.18534375 |
transcript.pyannote[2369].speaker |
SPEAKER_29 |
transcript.pyannote[2369].start |
12783.31596875 |
transcript.pyannote[2369].end |
12785.59409375 |
transcript.pyannote[2370].speaker |
SPEAKER_29 |
transcript.pyannote[2370].start |
12785.84721875 |
transcript.pyannote[2370].end |
12786.55596875 |
transcript.pyannote[2371].speaker |
SPEAKER_29 |
transcript.pyannote[2371].start |
12787.65284375 |
transcript.pyannote[2371].end |
12789.22221875 |
transcript.pyannote[2372].speaker |
SPEAKER_29 |
transcript.pyannote[2372].start |
12789.94784375 |
transcript.pyannote[2372].end |
12791.12909375 |
transcript.pyannote[2373].speaker |
SPEAKER_29 |
transcript.pyannote[2373].start |
12791.80409375 |
transcript.pyannote[2373].end |
12793.40721875 |
transcript.pyannote[2374].speaker |
SPEAKER_29 |
transcript.pyannote[2374].start |
12793.77846875 |
transcript.pyannote[2374].end |
12795.43221875 |
transcript.pyannote[2375].speaker |
SPEAKER_29 |
transcript.pyannote[2375].start |
12796.07346875 |
transcript.pyannote[2375].end |
12797.42346875 |
transcript.pyannote[2376].speaker |
SPEAKER_29 |
transcript.pyannote[2376].start |
12798.21659375 |
transcript.pyannote[2376].end |
12798.90846875 |
transcript.pyannote[2377].speaker |
SPEAKER_29 |
transcript.pyannote[2377].start |
12799.58346875 |
transcript.pyannote[2377].end |
12801.03471875 |
transcript.pyannote[2378].speaker |
SPEAKER_29 |
transcript.pyannote[2378].start |
12801.86159375 |
transcript.pyannote[2378].end |
12802.73909375 |
transcript.pyannote[2379].speaker |
SPEAKER_27 |
transcript.pyannote[2379].start |
12805.20284375 |
transcript.pyannote[2379].end |
12810.34971875 |
transcript.pyannote[2380].speaker |
SPEAKER_27 |
transcript.pyannote[2380].start |
12810.58596875 |
transcript.pyannote[2380].end |
12816.07034375 |
transcript.pyannote[2381].speaker |
SPEAKER_27 |
transcript.pyannote[2381].start |
12816.42471875 |
transcript.pyannote[2381].end |
12821.90909375 |
transcript.pyannote[2382].speaker |
SPEAKER_27 |
transcript.pyannote[2382].start |
12822.63471875 |
transcript.pyannote[2382].end |
12827.39346875 |
transcript.pyannote[2383].speaker |
SPEAKER_27 |
transcript.pyannote[2383].start |
12828.27096875 |
transcript.pyannote[2383].end |
12830.71784375 |
transcript.pyannote[2384].speaker |
SPEAKER_29 |
transcript.pyannote[2384].start |
12829.67159375 |
transcript.pyannote[2384].end |
12830.81909375 |
transcript.pyannote[2385].speaker |
SPEAKER_29 |
transcript.pyannote[2385].start |
12831.30846875 |
transcript.pyannote[2385].end |
12833.72159375 |
transcript.pyannote[2386].speaker |
SPEAKER_29 |
transcript.pyannote[2386].start |
12834.05909375 |
transcript.pyannote[2386].end |
12834.48096875 |
transcript.pyannote[2387].speaker |
SPEAKER_29 |
transcript.pyannote[2387].start |
12835.10534375 |
transcript.pyannote[2387].end |
12837.09659375 |
transcript.pyannote[2388].speaker |
SPEAKER_29 |
transcript.pyannote[2388].start |
12837.43409375 |
transcript.pyannote[2388].end |
12838.37909375 |
transcript.pyannote[2389].speaker |
SPEAKER_29 |
transcript.pyannote[2389].start |
12838.53096875 |
transcript.pyannote[2389].end |
12839.18909375 |
transcript.pyannote[2390].speaker |
SPEAKER_29 |
transcript.pyannote[2390].start |
12840.33659375 |
transcript.pyannote[2390].end |
12842.32784375 |
transcript.pyannote[2391].speaker |
SPEAKER_29 |
transcript.pyannote[2391].start |
12842.86784375 |
transcript.pyannote[2391].end |
12844.09971875 |
transcript.pyannote[2392].speaker |
SPEAKER_29 |
transcript.pyannote[2392].start |
12844.36971875 |
transcript.pyannote[2392].end |
12844.87596875 |
transcript.pyannote[2393].speaker |
SPEAKER_29 |
transcript.pyannote[2393].start |
12845.60159375 |
transcript.pyannote[2393].end |
12847.33971875 |
transcript.pyannote[2394].speaker |
SPEAKER_29 |
transcript.pyannote[2394].start |
12847.87971875 |
transcript.pyannote[2394].end |
12848.48721875 |
transcript.pyannote[2395].speaker |
SPEAKER_27 |
transcript.pyannote[2395].start |
12848.48721875 |
transcript.pyannote[2395].end |
12848.57159375 |
transcript.pyannote[2396].speaker |
SPEAKER_29 |
transcript.pyannote[2396].start |
12848.57159375 |
transcript.pyannote[2396].end |
12848.58846875 |
transcript.pyannote[2397].speaker |
SPEAKER_27 |
transcript.pyannote[2397].start |
12848.58846875 |
transcript.pyannote[2397].end |
12848.72346875 |
transcript.pyannote[2398].speaker |
SPEAKER_29 |
transcript.pyannote[2398].start |
12848.72346875 |
transcript.pyannote[2398].end |
12851.27159375 |
transcript.pyannote[2399].speaker |
SPEAKER_27 |
transcript.pyannote[2399].start |
12848.75721875 |
transcript.pyannote[2399].end |
12848.95971875 |
transcript.pyannote[2400].speaker |
SPEAKER_29 |
transcript.pyannote[2400].start |
12851.47409375 |
transcript.pyannote[2400].end |
12852.57096875 |
transcript.pyannote[2401].speaker |
SPEAKER_29 |
transcript.pyannote[2401].start |
12853.58346875 |
transcript.pyannote[2401].end |
12856.84034375 |
transcript.pyannote[2402].speaker |
SPEAKER_29 |
transcript.pyannote[2402].start |
12857.26221875 |
transcript.pyannote[2402].end |
12859.81034375 |
transcript.pyannote[2403].speaker |
SPEAKER_29 |
transcript.pyannote[2403].start |
12860.33346875 |
transcript.pyannote[2403].end |
12861.88596875 |
transcript.pyannote[2404].speaker |
SPEAKER_29 |
transcript.pyannote[2404].start |
12862.13909375 |
transcript.pyannote[2404].end |
12866.00346875 |
transcript.pyannote[2405].speaker |
SPEAKER_29 |
transcript.pyannote[2405].start |
12867.30284375 |
transcript.pyannote[2405].end |
12867.70784375 |
transcript.pyannote[2406].speaker |
SPEAKER_29 |
transcript.pyannote[2406].start |
12868.43346875 |
transcript.pyannote[2406].end |
12870.82971875 |
transcript.pyannote[2407].speaker |
SPEAKER_29 |
transcript.pyannote[2407].start |
12871.26846875 |
transcript.pyannote[2407].end |
12872.19659375 |
transcript.pyannote[2408].speaker |
SPEAKER_29 |
transcript.pyannote[2408].start |
12872.60159375 |
transcript.pyannote[2408].end |
12875.01471875 |
transcript.pyannote[2409].speaker |
SPEAKER_29 |
transcript.pyannote[2409].start |
12875.18346875 |
transcript.pyannote[2409].end |
12877.52909375 |
transcript.pyannote[2410].speaker |
SPEAKER_29 |
transcript.pyannote[2410].start |
12877.71471875 |
transcript.pyannote[2410].end |
12879.63846875 |
transcript.pyannote[2411].speaker |
SPEAKER_29 |
transcript.pyannote[2411].start |
12880.14471875 |
transcript.pyannote[2411].end |
12881.03909375 |
transcript.pyannote[2412].speaker |
SPEAKER_29 |
transcript.pyannote[2412].start |
12882.16971875 |
transcript.pyannote[2412].end |
12882.67596875 |
transcript.pyannote[2413].speaker |
SPEAKER_29 |
transcript.pyannote[2413].start |
12883.51971875 |
transcript.pyannote[2413].end |
12888.10971875 |
transcript.pyannote[2414].speaker |
SPEAKER_29 |
transcript.pyannote[2414].start |
12888.49784375 |
transcript.pyannote[2414].end |
12889.30784375 |
transcript.pyannote[2415].speaker |
SPEAKER_29 |
transcript.pyannote[2415].start |
12889.78034375 |
transcript.pyannote[2415].end |
12890.43846875 |
transcript.pyannote[2416].speaker |
SPEAKER_29 |
transcript.pyannote[2416].start |
12891.01221875 |
transcript.pyannote[2416].end |
12892.51409375 |
transcript.pyannote[2417].speaker |
SPEAKER_29 |
transcript.pyannote[2417].start |
12892.81784375 |
transcript.pyannote[2417].end |
12895.36596875 |
transcript.pyannote[2418].speaker |
SPEAKER_29 |
transcript.pyannote[2418].start |
12896.17596875 |
transcript.pyannote[2418].end |
12897.07034375 |
transcript.pyannote[2419].speaker |
SPEAKER_29 |
transcript.pyannote[2419].start |
12898.30221875 |
transcript.pyannote[2419].end |
12901.28909375 |
transcript.pyannote[2420].speaker |
SPEAKER_29 |
transcript.pyannote[2420].start |
12902.26784375 |
transcript.pyannote[2420].end |
12905.00159375 |
transcript.pyannote[2421].speaker |
SPEAKER_27 |
transcript.pyannote[2421].start |
12906.26721875 |
transcript.pyannote[2421].end |
12909.33846875 |
transcript.pyannote[2422].speaker |
SPEAKER_29 |
transcript.pyannote[2422].start |
12911.00909375 |
transcript.pyannote[2422].end |
12913.57409375 |
transcript.pyannote[2423].speaker |
SPEAKER_29 |
transcript.pyannote[2423].start |
12914.01284375 |
transcript.pyannote[2423].end |
12917.13471875 |
transcript.pyannote[2424].speaker |
SPEAKER_29 |
transcript.pyannote[2424].start |
12918.13034375 |
transcript.pyannote[2424].end |
12920.23971875 |
transcript.pyannote[2425].speaker |
SPEAKER_29 |
transcript.pyannote[2425].start |
12920.62784375 |
transcript.pyannote[2425].end |
12923.46284375 |
transcript.pyannote[2426].speaker |
SPEAKER_29 |
transcript.pyannote[2426].start |
12924.35721875 |
transcript.pyannote[2426].end |
12925.77471875 |
transcript.pyannote[2427].speaker |
SPEAKER_29 |
transcript.pyannote[2427].start |
12926.51721875 |
transcript.pyannote[2427].end |
12929.80784375 |
transcript.pyannote[2428].speaker |
SPEAKER_29 |
transcript.pyannote[2428].start |
12930.01034375 |
transcript.pyannote[2428].end |
12932.59221875 |
transcript.pyannote[2429].speaker |
SPEAKER_29 |
transcript.pyannote[2429].start |
12932.67659375 |
transcript.pyannote[2429].end |
12933.63846875 |
transcript.pyannote[2430].speaker |
SPEAKER_29 |
transcript.pyannote[2430].start |
12933.90846875 |
transcript.pyannote[2430].end |
12934.16159375 |
transcript.pyannote[2431].speaker |
SPEAKER_29 |
transcript.pyannote[2431].start |
12935.07284375 |
transcript.pyannote[2431].end |
12936.82784375 |
transcript.pyannote[2432].speaker |
SPEAKER_29 |
transcript.pyannote[2432].start |
12937.51971875 |
transcript.pyannote[2432].end |
12938.51534375 |
transcript.pyannote[2433].speaker |
SPEAKER_29 |
transcript.pyannote[2433].start |
12940.62471875 |
transcript.pyannote[2433].end |
12941.13096875 |
transcript.pyannote[2434].speaker |
SPEAKER_29 |
transcript.pyannote[2434].start |
12942.41346875 |
transcript.pyannote[2434].end |
12944.80971875 |
transcript.pyannote[2435].speaker |
SPEAKER_29 |
transcript.pyannote[2435].start |
12945.55221875 |
transcript.pyannote[2435].end |
12947.50971875 |
transcript.pyannote[2436].speaker |
SPEAKER_29 |
transcript.pyannote[2436].start |
12947.69534375 |
transcript.pyannote[2436].end |
12948.72471875 |
transcript.pyannote[2437].speaker |
SPEAKER_29 |
transcript.pyannote[2437].start |
12949.66971875 |
transcript.pyannote[2437].end |
12952.03221875 |
transcript.pyannote[2438].speaker |
SPEAKER_29 |
transcript.pyannote[2438].start |
12953.31471875 |
transcript.pyannote[2438].end |
12955.49159375 |
transcript.pyannote[2439].speaker |
SPEAKER_29 |
transcript.pyannote[2439].start |
12955.79534375 |
transcript.pyannote[2439].end |
12957.46596875 |
transcript.pyannote[2440].speaker |
SPEAKER_29 |
transcript.pyannote[2440].start |
12957.95534375 |
transcript.pyannote[2440].end |
12958.95096875 |
transcript.pyannote[2441].speaker |
SPEAKER_29 |
transcript.pyannote[2441].start |
12959.01846875 |
transcript.pyannote[2441].end |
12960.19971875 |
transcript.pyannote[2442].speaker |
SPEAKER_29 |
transcript.pyannote[2442].start |
12961.17846875 |
transcript.pyannote[2442].end |
12961.75221875 |
transcript.pyannote[2443].speaker |
SPEAKER_29 |
transcript.pyannote[2443].start |
12963.32159375 |
transcript.pyannote[2443].end |
12964.82346875 |
transcript.pyannote[2444].speaker |
SPEAKER_29 |
transcript.pyannote[2444].start |
12965.24534375 |
transcript.pyannote[2444].end |
12966.34221875 |
transcript.pyannote[2445].speaker |
SPEAKER_29 |
transcript.pyannote[2445].start |
12967.48971875 |
transcript.pyannote[2445].end |
12970.17284375 |
transcript.pyannote[2446].speaker |
SPEAKER_29 |
transcript.pyannote[2446].start |
12970.35846875 |
transcript.pyannote[2446].end |
12971.67471875 |
transcript.pyannote[2447].speaker |
SPEAKER_29 |
transcript.pyannote[2447].start |
12972.19784375 |
transcript.pyannote[2447].end |
12973.39596875 |
transcript.pyannote[2448].speaker |
SPEAKER_29 |
transcript.pyannote[2448].start |
12974.10471875 |
transcript.pyannote[2448].end |
12975.21846875 |
transcript.pyannote[2449].speaker |
SPEAKER_29 |
transcript.pyannote[2449].start |
12975.69096875 |
transcript.pyannote[2449].end |
12976.33221875 |
transcript.pyannote[2450].speaker |
SPEAKER_29 |
transcript.pyannote[2450].start |
12977.19284375 |
transcript.pyannote[2450].end |
12978.13784375 |
transcript.pyannote[2451].speaker |
SPEAKER_29 |
transcript.pyannote[2451].start |
12978.32346875 |
transcript.pyannote[2451].end |
12978.84659375 |
transcript.pyannote[2452].speaker |
SPEAKER_29 |
transcript.pyannote[2452].start |
12979.48784375 |
transcript.pyannote[2452].end |
12980.07846875 |
transcript.pyannote[2453].speaker |
SPEAKER_27 |
transcript.pyannote[2453].start |
12980.07846875 |
transcript.pyannote[2453].end |
12980.11221875 |
transcript.pyannote[2454].speaker |
SPEAKER_27 |
transcript.pyannote[2454].start |
12980.90534375 |
transcript.pyannote[2454].end |
12984.53346875 |
transcript.pyannote[2455].speaker |
SPEAKER_29 |
transcript.pyannote[2455].start |
12984.53346875 |
transcript.pyannote[2455].end |
12985.02284375 |
transcript.pyannote[2456].speaker |
SPEAKER_29 |
transcript.pyannote[2456].start |
12985.05659375 |
transcript.pyannote[2456].end |
12985.12409375 |
transcript.pyannote[2457].speaker |
SPEAKER_27 |
transcript.pyannote[2457].start |
12985.12409375 |
transcript.pyannote[2457].end |
12989.64659375 |
transcript.pyannote[2458].speaker |
SPEAKER_29 |
transcript.pyannote[2458].start |
12985.15784375 |
transcript.pyannote[2458].end |
12986.52471875 |
transcript.pyannote[2459].speaker |
SPEAKER_29 |
transcript.pyannote[2459].start |
12986.86221875 |
transcript.pyannote[2459].end |
12986.87909375 |
transcript.pyannote[2460].speaker |
SPEAKER_29 |
transcript.pyannote[2460].start |
12986.94659375 |
transcript.pyannote[2460].end |
12987.77346875 |
transcript.pyannote[2461].speaker |
SPEAKER_29 |
transcript.pyannote[2461].start |
12988.54971875 |
transcript.pyannote[2461].end |
12989.30909375 |
transcript.pyannote[2462].speaker |
SPEAKER_27 |
transcript.pyannote[2462].start |
12990.33846875 |
transcript.pyannote[2462].end |
12993.22409375 |
transcript.pyannote[2463].speaker |
SPEAKER_29 |
transcript.pyannote[2463].start |
12992.19471875 |
transcript.pyannote[2463].end |
12992.86971875 |
transcript.pyannote[2464].speaker |
SPEAKER_27 |
transcript.pyannote[2464].start |
12993.56159375 |
transcript.pyannote[2464].end |
12995.40096875 |
transcript.pyannote[2465].speaker |
SPEAKER_27 |
transcript.pyannote[2465].start |
12995.80596875 |
transcript.pyannote[2465].end |
13000.15971875 |
transcript.pyannote[2466].speaker |
SPEAKER_27 |
transcript.pyannote[2466].start |
13000.51409375 |
transcript.pyannote[2466].end |
13002.60659375 |
transcript.pyannote[2467].speaker |
SPEAKER_27 |
transcript.pyannote[2467].start |
13002.77534375 |
transcript.pyannote[2467].end |
13007.88846875 |
transcript.pyannote[2468].speaker |
SPEAKER_29 |
transcript.pyannote[2468].start |
13005.45846875 |
transcript.pyannote[2468].end |
13006.69034375 |
transcript.pyannote[2469].speaker |
SPEAKER_29 |
transcript.pyannote[2469].start |
13008.39471875 |
transcript.pyannote[2469].end |
13008.42846875 |
transcript.pyannote[2470].speaker |
SPEAKER_27 |
transcript.pyannote[2470].start |
13008.42846875 |
transcript.pyannote[2470].end |
13008.44534375 |
transcript.pyannote[2471].speaker |
SPEAKER_29 |
transcript.pyannote[2471].start |
13008.44534375 |
transcript.pyannote[2471].end |
13009.76159375 |
transcript.pyannote[2472].speaker |
SPEAKER_27 |
transcript.pyannote[2472].start |
13009.76159375 |
transcript.pyannote[2472].end |
13014.53721875 |
transcript.pyannote[2473].speaker |
SPEAKER_29 |
transcript.pyannote[2473].start |
13010.03159375 |
transcript.pyannote[2473].end |
13010.26784375 |
transcript.pyannote[2474].speaker |
SPEAKER_29 |
transcript.pyannote[2474].start |
13014.58784375 |
transcript.pyannote[2474].end |
13016.81534375 |
transcript.pyannote[2475].speaker |
SPEAKER_27 |
transcript.pyannote[2475].start |
13016.86596875 |
transcript.pyannote[2475].end |
13023.78471875 |
transcript.pyannote[2476].speaker |
SPEAKER_27 |
transcript.pyannote[2476].start |
13023.93659375 |
transcript.pyannote[2476].end |
13024.05471875 |
transcript.pyannote[2477].speaker |
SPEAKER_29 |
transcript.pyannote[2477].start |
13024.05471875 |
transcript.pyannote[2477].end |
13024.35846875 |
transcript.pyannote[2478].speaker |
SPEAKER_27 |
transcript.pyannote[2478].start |
13024.35846875 |
transcript.pyannote[2478].end |
13025.03346875 |
transcript.pyannote[2479].speaker |
SPEAKER_29 |
transcript.pyannote[2479].start |
13025.03346875 |
transcript.pyannote[2479].end |
13025.28659375 |
transcript.pyannote[2480].speaker |
SPEAKER_27 |
transcript.pyannote[2480].start |
13025.28659375 |
transcript.pyannote[2480].end |
13025.30346875 |
transcript.pyannote[2481].speaker |
SPEAKER_29 |
transcript.pyannote[2481].start |
13025.97846875 |
transcript.pyannote[2481].end |
13026.67034375 |
transcript.pyannote[2482].speaker |
SPEAKER_29 |
transcript.pyannote[2482].start |
13028.18909375 |
transcript.pyannote[2482].end |
13029.33659375 |
transcript.pyannote[2483].speaker |
SPEAKER_29 |
transcript.pyannote[2483].start |
13029.55596875 |
transcript.pyannote[2483].end |
13031.36159375 |
transcript.pyannote[2484].speaker |
SPEAKER_29 |
transcript.pyannote[2484].start |
13031.61471875 |
transcript.pyannote[2484].end |
13032.98159375 |
transcript.pyannote[2485].speaker |
SPEAKER_29 |
transcript.pyannote[2485].start |
13035.14159375 |
transcript.pyannote[2485].end |
13035.74909375 |
transcript.pyannote[2486].speaker |
SPEAKER_29 |
transcript.pyannote[2486].start |
13037.25096875 |
transcript.pyannote[2486].end |
13037.95971875 |
transcript.pyannote[2487].speaker |
SPEAKER_29 |
transcript.pyannote[2487].start |
13038.78659375 |
transcript.pyannote[2487].end |
13039.79909375 |
transcript.pyannote[2488].speaker |
SPEAKER_29 |
transcript.pyannote[2488].start |
13040.84534375 |
transcript.pyannote[2488].end |
13044.40596875 |
transcript.pyannote[2489].speaker |
SPEAKER_29 |
transcript.pyannote[2489].start |
13044.96284375 |
transcript.pyannote[2489].end |
13047.35909375 |
transcript.pyannote[2490].speaker |
SPEAKER_29 |
transcript.pyannote[2490].start |
13047.69659375 |
transcript.pyannote[2490].end |
13050.29534375 |
transcript.pyannote[2491].speaker |
SPEAKER_29 |
transcript.pyannote[2491].start |
13051.07159375 |
transcript.pyannote[2491].end |
13053.34971875 |
transcript.pyannote[2492].speaker |
SPEAKER_29 |
transcript.pyannote[2492].start |
13054.64909375 |
transcript.pyannote[2492].end |
13057.31534375 |
transcript.pyannote[2493].speaker |
SPEAKER_29 |
transcript.pyannote[2493].start |
13057.51784375 |
transcript.pyannote[2493].end |
13058.86784375 |
transcript.pyannote[2494].speaker |
SPEAKER_29 |
transcript.pyannote[2494].start |
13059.01971875 |
transcript.pyannote[2494].end |
13060.65659375 |
transcript.pyannote[2495].speaker |
SPEAKER_29 |
transcript.pyannote[2495].start |
13060.79159375 |
transcript.pyannote[2495].end |
13061.87159375 |
transcript.pyannote[2496].speaker |
SPEAKER_29 |
transcript.pyannote[2496].start |
13063.05284375 |
transcript.pyannote[2496].end |
13063.54221875 |
transcript.pyannote[2497].speaker |
SPEAKER_27 |
transcript.pyannote[2497].start |
13065.16221875 |
transcript.pyannote[2497].end |
13067.49096875 |
transcript.pyannote[2498].speaker |
SPEAKER_29 |
transcript.pyannote[2498].start |
13066.83284375 |
transcript.pyannote[2498].end |
13069.97159375 |
transcript.pyannote[2499].speaker |
SPEAKER_27 |
transcript.pyannote[2499].start |
13069.97159375 |
transcript.pyannote[2499].end |
13070.62971875 |
transcript.pyannote[2500].speaker |
SPEAKER_29 |
transcript.pyannote[2500].start |
13070.62971875 |
transcript.pyannote[2500].end |
13070.78159375 |
transcript.pyannote[2501].speaker |
SPEAKER_27 |
transcript.pyannote[2501].start |
13070.78159375 |
transcript.pyannote[2501].end |
13078.05471875 |
transcript.pyannote[2502].speaker |
SPEAKER_29 |
transcript.pyannote[2502].start |
13070.79846875 |
transcript.pyannote[2502].end |
13073.00909375 |
transcript.pyannote[2503].speaker |
SPEAKER_29 |
transcript.pyannote[2503].start |
13075.94534375 |
transcript.pyannote[2503].end |
13077.02534375 |
transcript.pyannote[2504].speaker |
SPEAKER_29 |
transcript.pyannote[2504].start |
13078.35846875 |
transcript.pyannote[2504].end |
13081.61534375 |
transcript.pyannote[2505].speaker |
SPEAKER_29 |
transcript.pyannote[2505].start |
13082.12159375 |
transcript.pyannote[2505].end |
13084.55159375 |
transcript.pyannote[2506].speaker |
SPEAKER_27 |
transcript.pyannote[2506].start |
13084.16346875 |
transcript.pyannote[2506].end |
13087.69034375 |
transcript.pyannote[2507].speaker |
SPEAKER_29 |
transcript.pyannote[2507].start |
13088.34846875 |
transcript.pyannote[2507].end |
13098.79409375 |
transcript.pyannote[2508].speaker |
SPEAKER_27 |
transcript.pyannote[2508].start |
13096.60034375 |
transcript.pyannote[2508].end |
13097.15721875 |
transcript.pyannote[2509].speaker |
SPEAKER_29 |
transcript.pyannote[2509].start |
13099.09784375 |
transcript.pyannote[2509].end |
13099.82346875 |
transcript.pyannote[2510].speaker |
SPEAKER_29 |
transcript.pyannote[2510].start |
13100.75159375 |
transcript.pyannote[2510].end |
13101.94971875 |
transcript.pyannote[2511].speaker |
SPEAKER_29 |
transcript.pyannote[2511].start |
13102.84409375 |
transcript.pyannote[2511].end |
13103.53596875 |
transcript.pyannote[2512].speaker |
SPEAKER_27 |
transcript.pyannote[2512].start |
13104.51471875 |
transcript.pyannote[2512].end |
13104.85221875 |
transcript.pyannote[2513].speaker |
SPEAKER_29 |
transcript.pyannote[2513].start |
13105.17284375 |
transcript.pyannote[2513].end |
13105.45971875 |
transcript.pyannote[2514].speaker |
SPEAKER_29 |
transcript.pyannote[2514].start |
13106.65784375 |
transcript.pyannote[2514].end |
13109.56034375 |
transcript.pyannote[2515].speaker |
SPEAKER_29 |
transcript.pyannote[2515].start |
13109.91471875 |
transcript.pyannote[2515].end |
13113.42471875 |
transcript.pyannote[2516].speaker |
SPEAKER_29 |
transcript.pyannote[2516].start |
13113.71159375 |
transcript.pyannote[2516].end |
13114.96034375 |
transcript.pyannote[2517].speaker |
SPEAKER_29 |
transcript.pyannote[2517].start |
13115.44971875 |
transcript.pyannote[2517].end |
13117.06971875 |
transcript.pyannote[2518].speaker |
SPEAKER_29 |
transcript.pyannote[2518].start |
13117.49159375 |
transcript.pyannote[2518].end |
13117.76159375 |
transcript.pyannote[2519].speaker |
SPEAKER_29 |
transcript.pyannote[2519].start |
13118.41971875 |
transcript.pyannote[2519].end |
13120.96784375 |
transcript.pyannote[2520].speaker |
SPEAKER_29 |
transcript.pyannote[2520].start |
13121.25471875 |
transcript.pyannote[2520].end |
13122.68909375 |
transcript.pyannote[2521].speaker |
SPEAKER_29 |
transcript.pyannote[2521].start |
13123.36409375 |
transcript.pyannote[2521].end |
13124.61284375 |
transcript.pyannote[2522].speaker |
SPEAKER_29 |
transcript.pyannote[2522].start |
13125.08534375 |
transcript.pyannote[2522].end |
13127.11034375 |
transcript.pyannote[2523].speaker |
SPEAKER_29 |
transcript.pyannote[2523].start |
13127.14409375 |
transcript.pyannote[2523].end |
13129.40534375 |
transcript.pyannote[2524].speaker |
SPEAKER_29 |
transcript.pyannote[2524].start |
13129.48971875 |
transcript.pyannote[2524].end |
13130.01284375 |
transcript.pyannote[2525].speaker |
SPEAKER_29 |
transcript.pyannote[2525].start |
13130.31659375 |
transcript.pyannote[2525].end |
13130.83971875 |
transcript.pyannote[2526].speaker |
SPEAKER_29 |
transcript.pyannote[2526].start |
13131.19409375 |
transcript.pyannote[2526].end |
13133.64096875 |
transcript.pyannote[2527].speaker |
SPEAKER_29 |
transcript.pyannote[2527].start |
13134.24846875 |
transcript.pyannote[2527].end |
13136.10471875 |
transcript.pyannote[2528].speaker |
SPEAKER_29 |
transcript.pyannote[2528].start |
13136.57721875 |
transcript.pyannote[2528].end |
13137.85971875 |
transcript.pyannote[2529].speaker |
SPEAKER_29 |
transcript.pyannote[2529].start |
13138.06221875 |
transcript.pyannote[2529].end |
13139.20971875 |
transcript.pyannote[2530].speaker |
SPEAKER_29 |
transcript.pyannote[2530].start |
13139.88471875 |
transcript.pyannote[2530].end |
13140.23909375 |
transcript.pyannote[2531].speaker |
SPEAKER_29 |
transcript.pyannote[2531].start |
13140.45846875 |
transcript.pyannote[2531].end |
13141.28534375 |
transcript.pyannote[2532].speaker |
SPEAKER_29 |
transcript.pyannote[2532].start |
13141.79159375 |
transcript.pyannote[2532].end |
13143.05721875 |
transcript.pyannote[2533].speaker |
SPEAKER_15 |
transcript.pyannote[2533].start |
13141.82534375 |
transcript.pyannote[2533].end |
13142.55096875 |
transcript.pyannote[2534].speaker |
SPEAKER_15 |
transcript.pyannote[2534].start |
13144.03596875 |
transcript.pyannote[2534].end |
13145.47034375 |
transcript.pyannote[2535].speaker |
SPEAKER_15 |
transcript.pyannote[2535].start |
13145.84159375 |
transcript.pyannote[2535].end |
13146.82034375 |
transcript.pyannote[2536].speaker |
SPEAKER_15 |
transcript.pyannote[2536].start |
13146.97221875 |
transcript.pyannote[2536].end |
13149.45284375 |
transcript.pyannote[2537].speaker |
SPEAKER_15 |
transcript.pyannote[2537].start |
13149.72284375 |
transcript.pyannote[2537].end |
13154.65034375 |
transcript.pyannote[2538].speaker |
SPEAKER_15 |
transcript.pyannote[2538].start |
13154.75159375 |
transcript.pyannote[2538].end |
13157.56971875 |
transcript.pyannote[2539].speaker |
SPEAKER_15 |
transcript.pyannote[2539].start |
13158.51471875 |
transcript.pyannote[2539].end |
13159.42596875 |
transcript.pyannote[2540].speaker |
SPEAKER_19 |
transcript.pyannote[2540].start |
13167.08721875 |
transcript.pyannote[2540].end |
13170.69846875 |
transcript.pyannote[2541].speaker |
SPEAKER_19 |
transcript.pyannote[2541].start |
13170.79971875 |
transcript.pyannote[2541].end |
13176.38534375 |
transcript.pyannote[2542].speaker |
SPEAKER_19 |
transcript.pyannote[2542].start |
13176.73971875 |
transcript.pyannote[2542].end |
13177.75221875 |
transcript.pyannote[2543].speaker |
SPEAKER_19 |
transcript.pyannote[2543].start |
13181.68409375 |
transcript.pyannote[2543].end |
13182.19034375 |
transcript.pyannote[2544].speaker |
SPEAKER_19 |
transcript.pyannote[2544].start |
13182.57846875 |
transcript.pyannote[2544].end |
13183.20284375 |
transcript.pyannote[2545].speaker |
SPEAKER_19 |
transcript.pyannote[2545].start |
13183.47284375 |
transcript.pyannote[2545].end |
13185.27846875 |
transcript.pyannote[2546].speaker |
SPEAKER_19 |
transcript.pyannote[2546].start |
13185.36284375 |
transcript.pyannote[2546].end |
13189.91909375 |
transcript.pyannote[2547].speaker |
SPEAKER_19 |
transcript.pyannote[2547].start |
13190.05409375 |
transcript.pyannote[2547].end |
13194.61034375 |
transcript.pyannote[2548].speaker |
SPEAKER_19 |
transcript.pyannote[2548].start |
13194.69471875 |
transcript.pyannote[2548].end |
13195.79159375 |
transcript.pyannote[2549].speaker |
SPEAKER_19 |
transcript.pyannote[2549].start |
13196.16284375 |
transcript.pyannote[2549].end |
13201.52909375 |
transcript.pyannote[2550].speaker |
SPEAKER_19 |
transcript.pyannote[2550].start |
13201.71471875 |
transcript.pyannote[2550].end |
13202.59221875 |
transcript.pyannote[2551].speaker |
SPEAKER_19 |
transcript.pyannote[2551].start |
13203.01409375 |
transcript.pyannote[2551].end |
13209.25784375 |
transcript.pyannote[2552].speaker |
SPEAKER_19 |
transcript.pyannote[2552].start |
13210.13534375 |
transcript.pyannote[2552].end |
13211.83971875 |
transcript.pyannote[2553].speaker |
SPEAKER_19 |
transcript.pyannote[2553].start |
13212.00846875 |
transcript.pyannote[2553].end |
13213.98284375 |
transcript.pyannote[2554].speaker |
SPEAKER_19 |
transcript.pyannote[2554].start |
13214.15159375 |
transcript.pyannote[2554].end |
13216.22721875 |
transcript.pyannote[2555].speaker |
SPEAKER_19 |
transcript.pyannote[2555].start |
13216.51409375 |
transcript.pyannote[2555].end |
13219.65284375 |
transcript.pyannote[2556].speaker |
SPEAKER_19 |
transcript.pyannote[2556].start |
13220.29409375 |
transcript.pyannote[2556].end |
13221.30659375 |
transcript.pyannote[2557].speaker |
SPEAKER_19 |
transcript.pyannote[2557].start |
13221.84659375 |
transcript.pyannote[2557].end |
13222.21784375 |
transcript.pyannote[2558].speaker |
SPEAKER_19 |
transcript.pyannote[2558].start |
13222.38659375 |
transcript.pyannote[2558].end |
13239.12659375 |
transcript.pyannote[2559].speaker |
SPEAKER_19 |
transcript.pyannote[2559].start |
13239.81846875 |
transcript.pyannote[2559].end |
13246.82159375 |
transcript.pyannote[2560].speaker |
SPEAKER_19 |
transcript.pyannote[2560].start |
13246.87221875 |
transcript.pyannote[2560].end |
13254.53346875 |
transcript.pyannote[2561].speaker |
SPEAKER_19 |
transcript.pyannote[2561].start |
13254.65159375 |
transcript.pyannote[2561].end |
13256.81159375 |
transcript.pyannote[2562].speaker |
SPEAKER_27 |
transcript.pyannote[2562].start |
13256.81159375 |
transcript.pyannote[2562].end |
13256.84534375 |
transcript.pyannote[2563].speaker |
SPEAKER_19 |
transcript.pyannote[2563].start |
13256.84534375 |
transcript.pyannote[2563].end |
13256.89596875 |
transcript.pyannote[2564].speaker |
SPEAKER_27 |
transcript.pyannote[2564].start |
13256.89596875 |
transcript.pyannote[2564].end |
13257.82409375 |
transcript.pyannote[2565].speaker |
SPEAKER_19 |
transcript.pyannote[2565].start |
13257.82409375 |
transcript.pyannote[2565].end |
13262.09346875 |
transcript.pyannote[2566].speaker |
SPEAKER_27 |
transcript.pyannote[2566].start |
13257.84096875 |
transcript.pyannote[2566].end |
13258.46534375 |
transcript.pyannote[2567].speaker |
SPEAKER_19 |
transcript.pyannote[2567].start |
13262.36346875 |
transcript.pyannote[2567].end |
13266.02534375 |
transcript.pyannote[2568].speaker |
SPEAKER_19 |
transcript.pyannote[2568].start |
13266.04221875 |
transcript.pyannote[2568].end |
13270.91909375 |
transcript.pyannote[2569].speaker |
SPEAKER_19 |
transcript.pyannote[2569].start |
13271.35784375 |
transcript.pyannote[2569].end |
13275.45846875 |
transcript.pyannote[2570].speaker |
SPEAKER_19 |
transcript.pyannote[2570].start |
13275.69471875 |
transcript.pyannote[2570].end |
13277.21346875 |
transcript.pyannote[2571].speaker |
SPEAKER_19 |
transcript.pyannote[2571].start |
13277.39909375 |
transcript.pyannote[2571].end |
13278.05721875 |
transcript.pyannote[2572].speaker |
SPEAKER_19 |
transcript.pyannote[2572].start |
13278.31034375 |
transcript.pyannote[2572].end |
13278.86721875 |
transcript.pyannote[2573].speaker |
SPEAKER_19 |
transcript.pyannote[2573].start |
13279.18784375 |
transcript.pyannote[2573].end |
13282.12409375 |
transcript.pyannote[2574].speaker |
SPEAKER_19 |
transcript.pyannote[2574].start |
13283.40659375 |
transcript.pyannote[2574].end |
13285.04346875 |
transcript.pyannote[2575].speaker |
SPEAKER_19 |
transcript.pyannote[2575].start |
13285.27971875 |
transcript.pyannote[2575].end |
13287.62534375 |
transcript.pyannote[2576].speaker |
SPEAKER_19 |
transcript.pyannote[2576].start |
13288.73909375 |
transcript.pyannote[2576].end |
13290.08909375 |
transcript.pyannote[2577].speaker |
SPEAKER_19 |
transcript.pyannote[2577].start |
13290.25784375 |
transcript.pyannote[2577].end |
13291.84409375 |
transcript.pyannote[2578].speaker |
SPEAKER_19 |
transcript.pyannote[2578].start |
13293.54846875 |
transcript.pyannote[2578].end |
13294.30784375 |
transcript.pyannote[2579].speaker |
SPEAKER_19 |
transcript.pyannote[2579].start |
13294.57784375 |
transcript.pyannote[2579].end |
13295.91096875 |
transcript.pyannote[2580].speaker |
SPEAKER_19 |
transcript.pyannote[2580].start |
13296.23159375 |
transcript.pyannote[2580].end |
13304.12909375 |
transcript.pyannote[2581].speaker |
SPEAKER_19 |
transcript.pyannote[2581].start |
13304.55096875 |
transcript.pyannote[2581].end |
13306.89659375 |
transcript.pyannote[2582].speaker |
SPEAKER_19 |
transcript.pyannote[2582].start |
13307.36909375 |
transcript.pyannote[2582].end |
13309.37721875 |
transcript.pyannote[2583].speaker |
SPEAKER_19 |
transcript.pyannote[2583].start |
13309.71471875 |
transcript.pyannote[2583].end |
13311.06471875 |
transcript.pyannote[2584].speaker |
SPEAKER_19 |
transcript.pyannote[2584].start |
13311.90846875 |
transcript.pyannote[2584].end |
13312.85346875 |
transcript.pyannote[2585].speaker |
SPEAKER_19 |
transcript.pyannote[2585].start |
13312.90409375 |
transcript.pyannote[2585].end |
13314.16971875 |
transcript.pyannote[2586].speaker |
SPEAKER_19 |
transcript.pyannote[2586].start |
13315.97534375 |
transcript.pyannote[2586].end |
13321.71284375 |
transcript.pyannote[2587].speaker |
SPEAKER_19 |
transcript.pyannote[2587].start |
13322.11784375 |
transcript.pyannote[2587].end |
13323.82221875 |
transcript.pyannote[2588].speaker |
SPEAKER_19 |
transcript.pyannote[2588].start |
13324.02471875 |
transcript.pyannote[2588].end |
13325.03721875 |
transcript.pyannote[2589].speaker |
SPEAKER_19 |
transcript.pyannote[2589].start |
13326.91034375 |
transcript.pyannote[2589].end |
13327.41659375 |
transcript.pyannote[2590].speaker |
SPEAKER_19 |
transcript.pyannote[2590].start |
13327.95659375 |
transcript.pyannote[2590].end |
13332.34409375 |
transcript.pyannote[2591].speaker |
SPEAKER_19 |
transcript.pyannote[2591].start |
13332.41159375 |
transcript.pyannote[2591].end |
13338.84096875 |
transcript.pyannote[2592].speaker |
SPEAKER_19 |
transcript.pyannote[2592].start |
13339.06034375 |
transcript.pyannote[2592].end |
13345.74284375 |
transcript.pyannote[2593].speaker |
SPEAKER_19 |
transcript.pyannote[2593].start |
13346.06346875 |
transcript.pyannote[2593].end |
13349.50596875 |
transcript.pyannote[2594].speaker |
SPEAKER_19 |
transcript.pyannote[2594].start |
13349.75909375 |
transcript.pyannote[2594].end |
13350.68721875 |
transcript.pyannote[2595].speaker |
SPEAKER_19 |
transcript.pyannote[2595].start |
13351.17659375 |
transcript.pyannote[2595].end |
13352.96534375 |
transcript.pyannote[2596].speaker |
SPEAKER_27 |
transcript.pyannote[2596].start |
13352.96534375 |
transcript.pyannote[2596].end |
13353.47159375 |
transcript.pyannote[2597].speaker |
SPEAKER_27 |
transcript.pyannote[2597].start |
13353.53909375 |
transcript.pyannote[2597].end |
13353.60659375 |
transcript.pyannote[2598].speaker |
SPEAKER_19 |
transcript.pyannote[2598].start |
13353.60659375 |
transcript.pyannote[2598].end |
13353.97784375 |
transcript.pyannote[2599].speaker |
SPEAKER_27 |
transcript.pyannote[2599].start |
13353.97784375 |
transcript.pyannote[2599].end |
13355.02409375 |
transcript.pyannote[2600].speaker |
SPEAKER_27 |
transcript.pyannote[2600].start |
13356.25596875 |
transcript.pyannote[2600].end |
13364.79471875 |
transcript.pyannote[2601].speaker |
SPEAKER_19 |
transcript.pyannote[2601].start |
13364.17034375 |
transcript.pyannote[2601].end |
13364.59221875 |
transcript.pyannote[2602].speaker |
SPEAKER_19 |
transcript.pyannote[2602].start |
13364.79471875 |
transcript.pyannote[2602].end |
13366.22909375 |
transcript.pyannote[2603].speaker |
SPEAKER_19 |
transcript.pyannote[2603].start |
13366.65096875 |
transcript.pyannote[2603].end |
13367.17409375 |
transcript.pyannote[2604].speaker |
SPEAKER_19 |
transcript.pyannote[2604].start |
13367.44409375 |
transcript.pyannote[2604].end |
13368.38909375 |
transcript.pyannote[2605].speaker |
SPEAKER_19 |
transcript.pyannote[2605].start |
13368.62534375 |
transcript.pyannote[2605].end |
13369.97534375 |
transcript.pyannote[2606].speaker |
SPEAKER_19 |
transcript.pyannote[2606].start |
13370.31284375 |
transcript.pyannote[2606].end |
13376.55659375 |
transcript.pyannote[2607].speaker |
SPEAKER_19 |
transcript.pyannote[2607].start |
13377.40034375 |
transcript.pyannote[2607].end |
13379.69534375 |
transcript.pyannote[2608].speaker |
SPEAKER_27 |
transcript.pyannote[2608].start |
13379.32409375 |
transcript.pyannote[2608].end |
13385.02784375 |
transcript.pyannote[2609].speaker |
SPEAKER_19 |
transcript.pyannote[2609].start |
13385.02784375 |
transcript.pyannote[2609].end |
13394.02221875 |
transcript.pyannote[2610].speaker |
SPEAKER_19 |
transcript.pyannote[2610].start |
13394.52846875 |
transcript.pyannote[2610].end |
13400.18159375 |
transcript.pyannote[2611].speaker |
SPEAKER_00 |
transcript.pyannote[2611].start |
13394.57909375 |
transcript.pyannote[2611].end |
13394.86596875 |
transcript.pyannote[2612].speaker |
SPEAKER_19 |
transcript.pyannote[2612].start |
13400.36721875 |
transcript.pyannote[2612].end |
13403.08409375 |
transcript.pyannote[2613].speaker |
SPEAKER_19 |
transcript.pyannote[2613].start |
13403.28659375 |
transcript.pyannote[2613].end |
13404.68721875 |
transcript.pyannote[2614].speaker |
SPEAKER_19 |
transcript.pyannote[2614].start |
13405.15971875 |
transcript.pyannote[2614].end |
13405.91909375 |
transcript.pyannote[2615].speaker |
SPEAKER_19 |
transcript.pyannote[2615].start |
13407.60659375 |
transcript.pyannote[2615].end |
13413.02346875 |
transcript.pyannote[2616].speaker |
SPEAKER_19 |
transcript.pyannote[2616].start |
13413.20909375 |
transcript.pyannote[2616].end |
13413.44534375 |
transcript.pyannote[2617].speaker |
SPEAKER_19 |
transcript.pyannote[2617].start |
13413.49596875 |
transcript.pyannote[2617].end |
13417.88346875 |
transcript.pyannote[2618].speaker |
SPEAKER_19 |
transcript.pyannote[2618].start |
13418.35596875 |
transcript.pyannote[2618].end |
13418.98034375 |
transcript.pyannote[2619].speaker |
SPEAKER_27 |
transcript.pyannote[2619].start |
13418.67659375 |
transcript.pyannote[2619].end |
13418.86221875 |
transcript.pyannote[2620].speaker |
SPEAKER_27 |
transcript.pyannote[2620].start |
13418.98034375 |
transcript.pyannote[2620].end |
13419.01409375 |
transcript.pyannote[2621].speaker |
SPEAKER_27 |
transcript.pyannote[2621].start |
13419.35159375 |
transcript.pyannote[2621].end |
13424.68409375 |
transcript.pyannote[2622].speaker |
SPEAKER_27 |
transcript.pyannote[2622].start |
13425.74721875 |
transcript.pyannote[2622].end |
13426.40534375 |
transcript.pyannote[2623].speaker |
SPEAKER_27 |
transcript.pyannote[2623].start |
13426.96221875 |
transcript.pyannote[2623].end |
13427.02971875 |
transcript.pyannote[2624].speaker |
SPEAKER_19 |
transcript.pyannote[2624].start |
13427.02971875 |
transcript.pyannote[2624].end |
13452.46034375 |
transcript.pyannote[2625].speaker |
SPEAKER_00 |
transcript.pyannote[2625].start |
13444.30971875 |
transcript.pyannote[2625].end |
13444.81596875 |
transcript.pyannote[2626].speaker |
SPEAKER_19 |
transcript.pyannote[2626].start |
13452.57846875 |
transcript.pyannote[2626].end |
13455.48096875 |
transcript.pyannote[2627].speaker |
SPEAKER_19 |
transcript.pyannote[2627].start |
13455.78471875 |
transcript.pyannote[2627].end |
13457.96159375 |
transcript.pyannote[2628].speaker |
SPEAKER_19 |
transcript.pyannote[2628].start |
13458.28221875 |
transcript.pyannote[2628].end |
13459.83471875 |
transcript.pyannote[2629].speaker |
SPEAKER_19 |
transcript.pyannote[2629].start |
13461.58971875 |
transcript.pyannote[2629].end |
13465.67346875 |
transcript.pyannote[2630].speaker |
SPEAKER_19 |
transcript.pyannote[2630].start |
13465.87596875 |
transcript.pyannote[2630].end |
13469.20034375 |
transcript.pyannote[2631].speaker |
SPEAKER_19 |
transcript.pyannote[2631].start |
13469.53784375 |
transcript.pyannote[2631].end |
13472.32221875 |
transcript.pyannote[2632].speaker |
SPEAKER_16 |
transcript.pyannote[2632].start |
13473.90846875 |
transcript.pyannote[2632].end |
13474.22909375 |
transcript.pyannote[2633].speaker |
SPEAKER_16 |
transcript.pyannote[2633].start |
13474.58346875 |
transcript.pyannote[2633].end |
13477.23284375 |
transcript.pyannote[2634].speaker |
SPEAKER_16 |
transcript.pyannote[2634].start |
13477.60409375 |
transcript.pyannote[2634].end |
13483.84784375 |
transcript.pyannote[2635].speaker |
SPEAKER_16 |
transcript.pyannote[2635].start |
13483.99971875 |
transcript.pyannote[2635].end |
13494.49596875 |
transcript.pyannote[2636].speaker |
SPEAKER_19 |
transcript.pyannote[2636].start |
13491.13784375 |
transcript.pyannote[2636].end |
13491.52596875 |
transcript.pyannote[2637].speaker |
SPEAKER_19 |
transcript.pyannote[2637].start |
13494.49596875 |
transcript.pyannote[2637].end |
13502.46096875 |
transcript.pyannote[2638].speaker |
SPEAKER_19 |
transcript.pyannote[2638].start |
13502.47784375 |
transcript.pyannote[2638].end |
13507.42221875 |
transcript.pyannote[2639].speaker |
SPEAKER_16 |
transcript.pyannote[2639].start |
13507.42221875 |
transcript.pyannote[2639].end |
13507.67534375 |
transcript.pyannote[2640].speaker |
SPEAKER_19 |
transcript.pyannote[2640].start |
13507.67534375 |
transcript.pyannote[2640].end |
13510.98284375 |
transcript.pyannote[2641].speaker |
SPEAKER_19 |
transcript.pyannote[2641].start |
13511.25284375 |
transcript.pyannote[2641].end |
13519.23471875 |
transcript.pyannote[2642].speaker |
SPEAKER_16 |
transcript.pyannote[2642].start |
13519.23471875 |
transcript.pyannote[2642].end |
13519.25159375 |
transcript.pyannote[2643].speaker |
SPEAKER_19 |
transcript.pyannote[2643].start |
13519.96034375 |
transcript.pyannote[2643].end |
13519.97721875 |
transcript.pyannote[2644].speaker |
SPEAKER_16 |
transcript.pyannote[2644].start |
13519.97721875 |
transcript.pyannote[2644].end |
13528.61721875 |
transcript.pyannote[2645].speaker |
SPEAKER_19 |
transcript.pyannote[2645].start |
13528.61721875 |
transcript.pyannote[2645].end |
13537.61159375 |
transcript.pyannote[2646].speaker |
SPEAKER_19 |
transcript.pyannote[2646].start |
13537.67909375 |
transcript.pyannote[2646].end |
13541.12159375 |
transcript.pyannote[2647].speaker |
SPEAKER_19 |
transcript.pyannote[2647].start |
13541.56034375 |
transcript.pyannote[2647].end |
13545.05346875 |
transcript.pyannote[2648].speaker |
SPEAKER_19 |
transcript.pyannote[2648].start |
13545.45846875 |
transcript.pyannote[2648].end |
13548.52971875 |
transcript.pyannote[2649].speaker |
SPEAKER_19 |
transcript.pyannote[2649].start |
13548.63096875 |
transcript.pyannote[2649].end |
13558.72221875 |
transcript.pyannote[2650].speaker |
SPEAKER_19 |
transcript.pyannote[2650].start |
13558.94159375 |
transcript.pyannote[2650].end |
13562.51909375 |
transcript.pyannote[2651].speaker |
SPEAKER_15 |
transcript.pyannote[2651].start |
13563.22784375 |
transcript.pyannote[2651].end |
13563.76784375 |
transcript.pyannote[2652].speaker |
SPEAKER_15 |
transcript.pyannote[2652].start |
13565.45534375 |
transcript.pyannote[2652].end |
13569.26909375 |
transcript.pyannote[2653].speaker |
SPEAKER_15 |
transcript.pyannote[2653].start |
13569.48846875 |
transcript.pyannote[2653].end |
13571.88471875 |
transcript.pyannote[2654].speaker |
SPEAKER_15 |
transcript.pyannote[2654].start |
13572.25596875 |
transcript.pyannote[2654].end |
13573.20096875 |
transcript.pyannote[2655].speaker |
SPEAKER_08 |
transcript.pyannote[2655].start |
13577.90909375 |
transcript.pyannote[2655].end |
13578.55034375 |
transcript.pyannote[2656].speaker |
SPEAKER_08 |
transcript.pyannote[2656].start |
13579.10721875 |
transcript.pyannote[2656].end |
13579.86659375 |
transcript.pyannote[2657].speaker |
SPEAKER_08 |
transcript.pyannote[2657].start |
13580.25471875 |
transcript.pyannote[2657].end |
13585.40159375 |
transcript.pyannote[2658].speaker |
SPEAKER_08 |
transcript.pyannote[2658].start |
13586.59971875 |
transcript.pyannote[2658].end |
13588.47284375 |
transcript.pyannote[2659].speaker |
SPEAKER_08 |
transcript.pyannote[2659].start |
13590.93659375 |
transcript.pyannote[2659].end |
13592.45534375 |
transcript.pyannote[2660].speaker |
SPEAKER_08 |
transcript.pyannote[2660].start |
13592.94471875 |
transcript.pyannote[2660].end |
13616.46846875 |
transcript.pyannote[2661].speaker |
SPEAKER_16 |
transcript.pyannote[2661].start |
13617.09284375 |
transcript.pyannote[2661].end |
13617.61596875 |
transcript.pyannote[2662].speaker |
SPEAKER_08 |
transcript.pyannote[2662].start |
13617.61596875 |
transcript.pyannote[2662].end |
13645.42596875 |
transcript.pyannote[2663].speaker |
SPEAKER_16 |
transcript.pyannote[2663].start |
13617.63284375 |
transcript.pyannote[2663].end |
13617.70034375 |
transcript.pyannote[2664].speaker |
SPEAKER_08 |
transcript.pyannote[2664].start |
13645.72971875 |
transcript.pyannote[2664].end |
13646.86034375 |
transcript.pyannote[2665].speaker |
SPEAKER_08 |
transcript.pyannote[2665].start |
13647.16409375 |
transcript.pyannote[2665].end |
13653.61034375 |
transcript.pyannote[2666].speaker |
SPEAKER_08 |
transcript.pyannote[2666].start |
13653.74534375 |
transcript.pyannote[2666].end |
13653.82971875 |
transcript.pyannote[2667].speaker |
SPEAKER_08 |
transcript.pyannote[2667].start |
13654.28534375 |
transcript.pyannote[2667].end |
13671.86909375 |
transcript.pyannote[2668].speaker |
SPEAKER_08 |
transcript.pyannote[2668].start |
13672.47659375 |
transcript.pyannote[2668].end |
13677.91034375 |
transcript.pyannote[2669].speaker |
SPEAKER_16 |
transcript.pyannote[2669].start |
13679.20971875 |
transcript.pyannote[2669].end |
13686.63471875 |
transcript.pyannote[2670].speaker |
SPEAKER_08 |
transcript.pyannote[2670].start |
13684.44096875 |
transcript.pyannote[2670].end |
13684.91346875 |
transcript.pyannote[2671].speaker |
SPEAKER_08 |
transcript.pyannote[2671].start |
13686.17909375 |
transcript.pyannote[2671].end |
13688.94659375 |
transcript.pyannote[2672].speaker |
SPEAKER_16 |
transcript.pyannote[2672].start |
13688.37284375 |
transcript.pyannote[2672].end |
13698.21096875 |
transcript.pyannote[2673].speaker |
SPEAKER_08 |
transcript.pyannote[2673].start |
13689.77346875 |
transcript.pyannote[2673].end |
13691.19096875 |
transcript.pyannote[2674].speaker |
SPEAKER_08 |
transcript.pyannote[2674].start |
13698.04221875 |
transcript.pyannote[2674].end |
13701.61971875 |
transcript.pyannote[2675].speaker |
SPEAKER_16 |
transcript.pyannote[2675].start |
13701.83909375 |
transcript.pyannote[2675].end |
13701.97409375 |
transcript.pyannote[2676].speaker |
SPEAKER_27 |
transcript.pyannote[2676].start |
13701.97409375 |
transcript.pyannote[2676].end |
13706.81721875 |
transcript.pyannote[2677].speaker |
SPEAKER_27 |
transcript.pyannote[2677].start |
13707.40784375 |
transcript.pyannote[2677].end |
13711.20471875 |
transcript.pyannote[2678].speaker |
SPEAKER_27 |
transcript.pyannote[2678].start |
13712.11596875 |
transcript.pyannote[2678].end |
13715.67659375 |
transcript.pyannote[2679].speaker |
SPEAKER_08 |
transcript.pyannote[2679].start |
13712.43659375 |
transcript.pyannote[2679].end |
13743.04784375 |
transcript.pyannote[2680].speaker |
SPEAKER_08 |
transcript.pyannote[2680].start |
13743.48659375 |
transcript.pyannote[2680].end |
13844.60159375 |
transcript.pyannote[2681].speaker |
SPEAKER_27 |
transcript.pyannote[2681].start |
13845.47909375 |
transcript.pyannote[2681].end |
13848.29721875 |
transcript.pyannote[2682].speaker |
SPEAKER_08 |
transcript.pyannote[2682].start |
13848.73596875 |
transcript.pyannote[2682].end |
13850.45721875 |
transcript.pyannote[2683].speaker |
SPEAKER_08 |
transcript.pyannote[2683].start |
13851.25034375 |
transcript.pyannote[2683].end |
13851.28409375 |
transcript.pyannote[2684].speaker |
SPEAKER_27 |
transcript.pyannote[2684].start |
13851.28409375 |
transcript.pyannote[2684].end |
13854.28784375 |
transcript.pyannote[2685].speaker |
SPEAKER_08 |
transcript.pyannote[2685].start |
13854.45659375 |
transcript.pyannote[2685].end |
13872.76596875 |
transcript.pyannote[2686].speaker |
SPEAKER_16 |
transcript.pyannote[2686].start |
13873.23846875 |
transcript.pyannote[2686].end |
13877.22096875 |
transcript.pyannote[2687].speaker |
SPEAKER_08 |
transcript.pyannote[2687].start |
13877.28846875 |
transcript.pyannote[2687].end |
13884.30846875 |
transcript.pyannote[2688].speaker |
SPEAKER_16 |
transcript.pyannote[2688].start |
13885.30409375 |
transcript.pyannote[2688].end |
13886.56971875 |
transcript.pyannote[2689].speaker |
SPEAKER_08 |
transcript.pyannote[2689].start |
13886.65409375 |
transcript.pyannote[2689].end |
13888.32471875 |
transcript.pyannote[2690].speaker |
SPEAKER_16 |
transcript.pyannote[2690].start |
13888.45971875 |
transcript.pyannote[2690].end |
13888.79721875 |
transcript.pyannote[2691].speaker |
SPEAKER_08 |
transcript.pyannote[2691].start |
13888.91534375 |
transcript.pyannote[2691].end |
13891.95284375 |
transcript.pyannote[2692].speaker |
SPEAKER_08 |
transcript.pyannote[2692].start |
13892.12159375 |
transcript.pyannote[2692].end |
13893.10034375 |
transcript.pyannote[2693].speaker |
SPEAKER_15 |
transcript.pyannote[2693].start |
13893.10034375 |
transcript.pyannote[2693].end |
13893.11721875 |
transcript.pyannote[2694].speaker |
SPEAKER_15 |
transcript.pyannote[2694].start |
13896.39096875 |
transcript.pyannote[2694].end |
13899.09096875 |
transcript.pyannote[2695].speaker |
SPEAKER_10 |
transcript.pyannote[2695].start |
13907.86596875 |
transcript.pyannote[2695].end |
13916.18534375 |
transcript.pyannote[2696].speaker |
SPEAKER_10 |
transcript.pyannote[2696].start |
13920.72471875 |
transcript.pyannote[2696].end |
13997.18534375 |
transcript.pyannote[2697].speaker |
SPEAKER_27 |
transcript.pyannote[2697].start |
13997.89409375 |
transcript.pyannote[2697].end |
14009.28471875 |
transcript.pyannote[2698].speaker |
SPEAKER_10 |
transcript.pyannote[2698].start |
14007.95159375 |
transcript.pyannote[2698].end |
14074.43909375 |
transcript.pyannote[2699].speaker |
SPEAKER_10 |
transcript.pyannote[2699].start |
14074.79346875 |
transcript.pyannote[2699].end |
14077.66221875 |
transcript.pyannote[2700].speaker |
SPEAKER_27 |
transcript.pyannote[2700].start |
14078.79284375 |
transcript.pyannote[2700].end |
14084.26034375 |
transcript.pyannote[2701].speaker |
SPEAKER_27 |
transcript.pyannote[2701].start |
14084.96909375 |
transcript.pyannote[2701].end |
14090.92596875 |
transcript.pyannote[2702].speaker |
SPEAKER_28 |
transcript.pyannote[2702].start |
14091.41534375 |
transcript.pyannote[2702].end |
14091.44909375 |
transcript.pyannote[2703].speaker |
SPEAKER_10 |
transcript.pyannote[2703].start |
14091.44909375 |
transcript.pyannote[2703].end |
14091.85409375 |
transcript.pyannote[2704].speaker |
SPEAKER_27 |
transcript.pyannote[2704].start |
14091.44909375 |
transcript.pyannote[2704].end |
14092.34346875 |
transcript.pyannote[2705].speaker |
SPEAKER_27 |
transcript.pyannote[2705].start |
14092.73159375 |
transcript.pyannote[2705].end |
14094.57096875 |
transcript.pyannote[2706].speaker |
SPEAKER_10 |
transcript.pyannote[2706].start |
14095.29659375 |
transcript.pyannote[2706].end |
14108.99909375 |
transcript.pyannote[2707].speaker |
SPEAKER_10 |
transcript.pyannote[2707].start |
14109.23534375 |
transcript.pyannote[2707].end |
14112.50909375 |
transcript.pyannote[2708].speaker |
SPEAKER_10 |
transcript.pyannote[2708].start |
14113.16721875 |
transcript.pyannote[2708].end |
14157.54846875 |
transcript.pyannote[2709].speaker |
SPEAKER_26 |
transcript.pyannote[2709].start |
14158.02096875 |
transcript.pyannote[2709].end |
14194.52159375 |
transcript.pyannote[2710].speaker |
SPEAKER_00 |
transcript.pyannote[2710].start |
14187.18096875 |
transcript.pyannote[2710].end |
14187.19784375 |
transcript.pyannote[2711].speaker |
SPEAKER_10 |
transcript.pyannote[2711].start |
14187.19784375 |
transcript.pyannote[2711].end |
14187.65346875 |
transcript.pyannote[2712].speaker |
SPEAKER_10 |
transcript.pyannote[2712].start |
14192.15909375 |
transcript.pyannote[2712].end |
14192.49659375 |
transcript.pyannote[2713].speaker |
SPEAKER_10 |
transcript.pyannote[2713].start |
14194.47096875 |
transcript.pyannote[2713].end |
14216.17221875 |
transcript.pyannote[2714].speaker |
SPEAKER_26 |
transcript.pyannote[2714].start |
14216.50971875 |
transcript.pyannote[2714].end |
14231.86596875 |
transcript.pyannote[2715].speaker |
SPEAKER_28 |
transcript.pyannote[2715].start |
14221.25159375 |
transcript.pyannote[2715].end |
14221.94346875 |
transcript.pyannote[2716].speaker |
SPEAKER_26 |
transcript.pyannote[2716].start |
14232.40596875 |
transcript.pyannote[2716].end |
14239.59471875 |
transcript.pyannote[2717].speaker |
SPEAKER_10 |
transcript.pyannote[2717].start |
14239.56096875 |
transcript.pyannote[2717].end |
14240.96159375 |
transcript.pyannote[2718].speaker |
SPEAKER_10 |
transcript.pyannote[2718].start |
14241.38346875 |
transcript.pyannote[2718].end |
14243.34096875 |
transcript.pyannote[2719].speaker |
SPEAKER_15 |
transcript.pyannote[2719].start |
14246.37846875 |
transcript.pyannote[2719].end |
14252.50409375 |
transcript.pyannote[2720].speaker |
SPEAKER_31 |
transcript.pyannote[2720].start |
14265.66659375 |
transcript.pyannote[2720].end |
14268.09659375 |
transcript.pyannote[2721].speaker |
SPEAKER_31 |
transcript.pyannote[2721].start |
14268.18096875 |
transcript.pyannote[2721].end |
14268.73784375 |
transcript.pyannote[2722].speaker |
SPEAKER_15 |
transcript.pyannote[2722].start |
14269.29471875 |
transcript.pyannote[2722].end |
14270.30721875 |
transcript.pyannote[2723].speaker |
SPEAKER_31 |
transcript.pyannote[2723].start |
14276.82096875 |
transcript.pyannote[2723].end |
14277.44534375 |
transcript.pyannote[2724].speaker |
SPEAKER_31 |
transcript.pyannote[2724].start |
14277.78284375 |
transcript.pyannote[2724].end |
14278.28909375 |
transcript.pyannote[2725].speaker |
SPEAKER_31 |
transcript.pyannote[2725].start |
14278.71096875 |
transcript.pyannote[2725].end |
14289.34221875 |
transcript.pyannote[2726].speaker |
SPEAKER_31 |
transcript.pyannote[2726].start |
14289.78096875 |
transcript.pyannote[2726].end |
14290.37159375 |
transcript.pyannote[2727].speaker |
SPEAKER_31 |
transcript.pyannote[2727].start |
14290.48971875 |
transcript.pyannote[2727].end |
14300.05784375 |
transcript.pyannote[2728].speaker |
SPEAKER_31 |
transcript.pyannote[2728].start |
14300.36159375 |
transcript.pyannote[2728].end |
14305.47471875 |
transcript.pyannote[2729].speaker |
SPEAKER_31 |
transcript.pyannote[2729].start |
14306.21721875 |
transcript.pyannote[2729].end |
14310.46971875 |
transcript.pyannote[2730].speaker |
SPEAKER_31 |
transcript.pyannote[2730].start |
14310.97596875 |
transcript.pyannote[2730].end |
14311.31346875 |
transcript.pyannote[2731].speaker |
SPEAKER_16 |
transcript.pyannote[2731].start |
14311.31346875 |
transcript.pyannote[2731].end |
14311.34721875 |
transcript.pyannote[2732].speaker |
SPEAKER_31 |
transcript.pyannote[2732].start |
14311.95471875 |
transcript.pyannote[2732].end |
14312.96721875 |
transcript.pyannote[2733].speaker |
SPEAKER_16 |
transcript.pyannote[2733].start |
14312.96721875 |
transcript.pyannote[2733].end |
14332.79534375 |
transcript.pyannote[2734].speaker |
SPEAKER_31 |
transcript.pyannote[2734].start |
14316.62909375 |
transcript.pyannote[2734].end |
14316.76409375 |
transcript.pyannote[2735].speaker |
SPEAKER_01 |
transcript.pyannote[2735].start |
14316.76409375 |
transcript.pyannote[2735].end |
14316.96659375 |
transcript.pyannote[2736].speaker |
SPEAKER_00 |
transcript.pyannote[2736].start |
14316.96659375 |
transcript.pyannote[2736].end |
14317.01721875 |
transcript.pyannote[2737].speaker |
SPEAKER_16 |
transcript.pyannote[2737].start |
14332.87971875 |
transcript.pyannote[2737].end |
14339.35971875 |
transcript.pyannote[2738].speaker |
SPEAKER_16 |
transcript.pyannote[2738].start |
14339.76471875 |
transcript.pyannote[2738].end |
14344.00034375 |
transcript.pyannote[2739].speaker |
SPEAKER_31 |
transcript.pyannote[2739].start |
14344.55721875 |
transcript.pyannote[2739].end |
14352.72471875 |
transcript.pyannote[2740].speaker |
SPEAKER_31 |
transcript.pyannote[2740].start |
14352.99471875 |
transcript.pyannote[2740].end |
14363.86221875 |
transcript.pyannote[2741].speaker |
SPEAKER_31 |
transcript.pyannote[2741].start |
14364.62159375 |
transcript.pyannote[2741].end |
14364.63846875 |
transcript.pyannote[2742].speaker |
SPEAKER_16 |
transcript.pyannote[2742].start |
14364.63846875 |
transcript.pyannote[2742].end |
14380.36596875 |
transcript.pyannote[2743].speaker |
SPEAKER_31 |
transcript.pyannote[2743].start |
14364.67221875 |
transcript.pyannote[2743].end |
14364.95909375 |
transcript.pyannote[2744].speaker |
SPEAKER_31 |
transcript.pyannote[2744].start |
14371.72596875 |
transcript.pyannote[2744].end |
14372.11409375 |
transcript.pyannote[2745].speaker |
SPEAKER_31 |
transcript.pyannote[2745].start |
14376.92346875 |
transcript.pyannote[2745].end |
14377.10909375 |
transcript.pyannote[2746].speaker |
SPEAKER_16 |
transcript.pyannote[2746].start |
14380.65284375 |
transcript.pyannote[2746].end |
14381.69909375 |
transcript.pyannote[2747].speaker |
SPEAKER_31 |
transcript.pyannote[2747].start |
14380.70346875 |
transcript.pyannote[2747].end |
14382.64409375 |
transcript.pyannote[2748].speaker |
SPEAKER_31 |
transcript.pyannote[2748].start |
14382.81284375 |
transcript.pyannote[2748].end |
14390.10284375 |
transcript.pyannote[2749].speaker |
SPEAKER_16 |
transcript.pyannote[2749].start |
14389.76534375 |
transcript.pyannote[2749].end |
14394.25409375 |
transcript.pyannote[2750].speaker |
SPEAKER_16 |
transcript.pyannote[2750].start |
14394.47346875 |
transcript.pyannote[2750].end |
14396.11034375 |
transcript.pyannote[2751].speaker |
SPEAKER_31 |
transcript.pyannote[2751].start |
14394.70971875 |
transcript.pyannote[2751].end |
14420.57909375 |
transcript.pyannote[2752].speaker |
SPEAKER_28 |
transcript.pyannote[2752].start |
14412.00659375 |
transcript.pyannote[2752].end |
14412.15846875 |
transcript.pyannote[2753].speaker |
SPEAKER_00 |
transcript.pyannote[2753].start |
14412.15846875 |
transcript.pyannote[2753].end |
14412.17534375 |
transcript.pyannote[2754].speaker |
SPEAKER_16 |
transcript.pyannote[2754].start |
14420.57909375 |
transcript.pyannote[2754].end |
14443.25909375 |
transcript.pyannote[2755].speaker |
SPEAKER_31 |
transcript.pyannote[2755].start |
14422.46909375 |
transcript.pyannote[2755].end |
14422.82346875 |
transcript.pyannote[2756].speaker |
SPEAKER_16 |
transcript.pyannote[2756].start |
14443.32659375 |
transcript.pyannote[2756].end |
14451.03846875 |
transcript.pyannote[2757].speaker |
SPEAKER_31 |
transcript.pyannote[2757].start |
14451.03846875 |
transcript.pyannote[2757].end |
14453.75534375 |
transcript.pyannote[2758].speaker |
SPEAKER_31 |
transcript.pyannote[2758].start |
14454.36284375 |
transcript.pyannote[2758].end |
14463.39096875 |
transcript.pyannote[2759].speaker |
SPEAKER_16 |
transcript.pyannote[2759].start |
14463.57659375 |
transcript.pyannote[2759].end |
14463.96471875 |
transcript.pyannote[2760].speaker |
SPEAKER_31 |
transcript.pyannote[2760].start |
14463.71159375 |
transcript.pyannote[2760].end |
14467.00221875 |
transcript.pyannote[2761].speaker |
SPEAKER_16 |
transcript.pyannote[2761].start |
14467.00221875 |
transcript.pyannote[2761].end |
14467.40721875 |
transcript.pyannote[2762].speaker |
SPEAKER_16 |
transcript.pyannote[2762].start |
14467.55909375 |
transcript.pyannote[2762].end |
14467.93034375 |
transcript.pyannote[2763].speaker |
SPEAKER_31 |
transcript.pyannote[2763].start |
14467.93034375 |
transcript.pyannote[2763].end |
14467.96409375 |
transcript.pyannote[2764].speaker |
SPEAKER_16 |
transcript.pyannote[2764].start |
14467.96409375 |
transcript.pyannote[2764].end |
14476.58721875 |
transcript.pyannote[2765].speaker |
SPEAKER_16 |
transcript.pyannote[2765].start |
14476.90784375 |
transcript.pyannote[2765].end |
14477.17784375 |
transcript.pyannote[2766].speaker |
SPEAKER_31 |
transcript.pyannote[2766].start |
14476.97534375 |
transcript.pyannote[2766].end |
14477.16096875 |
transcript.pyannote[2767].speaker |
SPEAKER_30 |
transcript.pyannote[2767].start |
14477.16096875 |
transcript.pyannote[2767].end |
14477.27909375 |
transcript.pyannote[2768].speaker |
SPEAKER_31 |
transcript.pyannote[2768].start |
14477.17784375 |
transcript.pyannote[2768].end |
14477.43096875 |
transcript.pyannote[2769].speaker |
SPEAKER_16 |
transcript.pyannote[2769].start |
14477.27909375 |
transcript.pyannote[2769].end |
14478.03846875 |
transcript.pyannote[2770].speaker |
SPEAKER_31 |
transcript.pyannote[2770].start |
14478.03846875 |
transcript.pyannote[2770].end |
14479.28721875 |
transcript.pyannote[2771].speaker |
SPEAKER_30 |
transcript.pyannote[2771].start |
14479.18596875 |
transcript.pyannote[2771].end |
14479.52346875 |
transcript.pyannote[2772].speaker |
SPEAKER_31 |
transcript.pyannote[2772].start |
14479.52346875 |
transcript.pyannote[2772].end |
14482.56096875 |
transcript.pyannote[2773].speaker |
SPEAKER_31 |
transcript.pyannote[2773].start |
14482.86471875 |
transcript.pyannote[2773].end |
14503.09784375 |
transcript.pyannote[2774].speaker |
SPEAKER_16 |
transcript.pyannote[2774].start |
14500.60034375 |
transcript.pyannote[2774].end |
14501.20784375 |
transcript.pyannote[2775].speaker |
SPEAKER_16 |
transcript.pyannote[2775].start |
14501.49471875 |
transcript.pyannote[2775].end |
14506.45596875 |
transcript.pyannote[2776].speaker |
SPEAKER_31 |
transcript.pyannote[2776].start |
14503.28346875 |
transcript.pyannote[2776].end |
14503.50284375 |
transcript.pyannote[2777].speaker |
SPEAKER_31 |
transcript.pyannote[2777].start |
14506.45596875 |
transcript.pyannote[2777].end |
14506.54034375 |
transcript.pyannote[2778].speaker |
SPEAKER_16 |
transcript.pyannote[2778].start |
14506.54034375 |
transcript.pyannote[2778].end |
14506.70909375 |
transcript.pyannote[2779].speaker |
SPEAKER_31 |
transcript.pyannote[2779].start |
14506.70909375 |
transcript.pyannote[2779].end |
14507.14784375 |
transcript.pyannote[2780].speaker |
SPEAKER_16 |
transcript.pyannote[2780].start |
14506.74284375 |
transcript.pyannote[2780].end |
14506.97909375 |
transcript.pyannote[2781].speaker |
SPEAKER_31 |
transcript.pyannote[2781].start |
14507.43471875 |
transcript.pyannote[2781].end |
14511.34971875 |
transcript.pyannote[2782].speaker |
SPEAKER_31 |
transcript.pyannote[2782].start |
14511.72096875 |
transcript.pyannote[2782].end |
14512.80096875 |
transcript.pyannote[2783].speaker |
SPEAKER_31 |
transcript.pyannote[2783].start |
14513.50971875 |
transcript.pyannote[2783].end |
14514.64034375 |
transcript.pyannote[2784].speaker |
SPEAKER_31 |
transcript.pyannote[2784].start |
14514.91034375 |
transcript.pyannote[2784].end |
14521.47471875 |
transcript.pyannote[2785].speaker |
SPEAKER_31 |
transcript.pyannote[2785].start |
14521.74471875 |
transcript.pyannote[2785].end |
14525.81159375 |
transcript.pyannote[2786].speaker |
SPEAKER_31 |
transcript.pyannote[2786].start |
14526.21659375 |
transcript.pyannote[2786].end |
14529.60846875 |
transcript.pyannote[2787].speaker |
SPEAKER_31 |
transcript.pyannote[2787].start |
14530.18221875 |
transcript.pyannote[2787].end |
14542.29846875 |
transcript.pyannote[2788].speaker |
SPEAKER_31 |
transcript.pyannote[2788].start |
14542.58534375 |
transcript.pyannote[2788].end |
14547.19221875 |
transcript.pyannote[2789].speaker |
SPEAKER_31 |
transcript.pyannote[2789].start |
14547.36096875 |
transcript.pyannote[2789].end |
14553.23346875 |
transcript.pyannote[2790].speaker |
SPEAKER_31 |
transcript.pyannote[2790].start |
14553.82409375 |
transcript.pyannote[2790].end |
14554.51596875 |
transcript.pyannote[2791].speaker |
SPEAKER_31 |
transcript.pyannote[2791].start |
14555.34284375 |
transcript.pyannote[2791].end |
14581.33034375 |
transcript.pyannote[2792].speaker |
SPEAKER_31 |
transcript.pyannote[2792].start |
14581.56659375 |
transcript.pyannote[2792].end |
14583.25409375 |
transcript.pyannote[2793].speaker |
SPEAKER_31 |
transcript.pyannote[2793].start |
14583.45659375 |
transcript.pyannote[2793].end |
14587.42221875 |
transcript.pyannote[2794].speaker |
SPEAKER_16 |
transcript.pyannote[2794].start |
14587.81034375 |
transcript.pyannote[2794].end |
14607.92534375 |
transcript.pyannote[2795].speaker |
SPEAKER_16 |
transcript.pyannote[2795].start |
14607.97596875 |
transcript.pyannote[2795].end |
14623.36596875 |
transcript.pyannote[2796].speaker |
SPEAKER_16 |
transcript.pyannote[2796].start |
14623.53471875 |
transcript.pyannote[2796].end |
14628.14159375 |
transcript.pyannote[2797].speaker |
SPEAKER_31 |
transcript.pyannote[2797].start |
14627.85471875 |
transcript.pyannote[2797].end |
14659.20846875 |
transcript.pyannote[2798].speaker |
SPEAKER_28 |
transcript.pyannote[2798].start |
14638.67159375 |
transcript.pyannote[2798].end |
14639.53221875 |
transcript.pyannote[2799].speaker |
SPEAKER_16 |
transcript.pyannote[2799].start |
14659.49534375 |
transcript.pyannote[2799].end |
14660.17034375 |
transcript.pyannote[2800].speaker |
SPEAKER_16 |
transcript.pyannote[2800].start |
14660.27159375 |
transcript.pyannote[2800].end |
14661.63846875 |
transcript.pyannote[2801].speaker |
SPEAKER_16 |
transcript.pyannote[2801].start |
14662.14471875 |
transcript.pyannote[2801].end |
14663.73096875 |
transcript.pyannote[2802].speaker |
SPEAKER_31 |
transcript.pyannote[2802].start |
14664.00096875 |
transcript.pyannote[2802].end |
14665.06409375 |
transcript.pyannote[2803].speaker |
SPEAKER_31 |
transcript.pyannote[2803].start |
14665.26659375 |
transcript.pyannote[2803].end |
14668.18596875 |
transcript.pyannote[2804].speaker |
SPEAKER_16 |
transcript.pyannote[2804].start |
14668.18596875 |
transcript.pyannote[2804].end |
14668.25346875 |
transcript.pyannote[2805].speaker |
SPEAKER_31 |
transcript.pyannote[2805].start |
14669.28284375 |
transcript.pyannote[2805].end |
14669.29971875 |
transcript.pyannote[2806].speaker |
SPEAKER_16 |
transcript.pyannote[2806].start |
14669.29971875 |
transcript.pyannote[2806].end |
14671.71284375 |
transcript.pyannote[2807].speaker |
SPEAKER_16 |
transcript.pyannote[2807].start |
14671.84784375 |
transcript.pyannote[2807].end |
14679.62721875 |
transcript.pyannote[2808].speaker |
SPEAKER_25 |
transcript.pyannote[2808].start |
14674.04159375 |
transcript.pyannote[2808].end |
14674.48034375 |
transcript.pyannote[2809].speaker |
SPEAKER_25 |
transcript.pyannote[2809].start |
14676.52221875 |
transcript.pyannote[2809].end |
14682.81659375 |
transcript.pyannote[2810].speaker |
SPEAKER_28 |
transcript.pyannote[2810].start |
14679.62721875 |
transcript.pyannote[2810].end |
14679.72846875 |
transcript.pyannote[2811].speaker |
SPEAKER_25 |
transcript.pyannote[2811].start |
14682.86721875 |
transcript.pyannote[2811].end |
14699.97846875 |
transcript.pyannote[2812].speaker |
SPEAKER_25 |
transcript.pyannote[2812].start |
14700.70409375 |
transcript.pyannote[2812].end |
14714.25471875 |
transcript.pyannote[2813].speaker |
SPEAKER_25 |
transcript.pyannote[2813].start |
14715.73971875 |
transcript.pyannote[2813].end |
14715.77346875 |
transcript.pyannote[2814].speaker |
SPEAKER_31 |
transcript.pyannote[2814].start |
14715.77346875 |
transcript.pyannote[2814].end |
14717.76471875 |
transcript.pyannote[2815].speaker |
SPEAKER_31 |
transcript.pyannote[2815].start |
14718.13596875 |
transcript.pyannote[2815].end |
14723.46846875 |
transcript.pyannote[2816].speaker |
SPEAKER_31 |
transcript.pyannote[2816].start |
14723.77221875 |
transcript.pyannote[2816].end |
14729.13846875 |
transcript.pyannote[2817].speaker |
SPEAKER_31 |
transcript.pyannote[2817].start |
14729.49284375 |
transcript.pyannote[2817].end |
14764.87971875 |
transcript.pyannote[2818].speaker |
SPEAKER_31 |
transcript.pyannote[2818].start |
14765.06534375 |
transcript.pyannote[2818].end |
14771.08971875 |
transcript.pyannote[2819].speaker |
SPEAKER_16 |
transcript.pyannote[2819].start |
14771.42721875 |
transcript.pyannote[2819].end |
14792.11596875 |
transcript.pyannote[2820].speaker |
SPEAKER_31 |
transcript.pyannote[2820].start |
14772.74346875 |
transcript.pyannote[2820].end |
14773.16534375 |
transcript.pyannote[2821].speaker |
SPEAKER_00 |
transcript.pyannote[2821].start |
14780.65784375 |
transcript.pyannote[2821].end |
14780.99534375 |
transcript.pyannote[2822].speaker |
SPEAKER_31 |
transcript.pyannote[2822].start |
14790.59721875 |
transcript.pyannote[2822].end |
14799.45659375 |
transcript.pyannote[2823].speaker |
SPEAKER_16 |
transcript.pyannote[2823].start |
14797.43159375 |
transcript.pyannote[2823].end |
14798.30909375 |
transcript.pyannote[2824].speaker |
SPEAKER_16 |
transcript.pyannote[2824].start |
14799.45659375 |
transcript.pyannote[2824].end |
14809.66596875 |
transcript.pyannote[2825].speaker |
SPEAKER_31 |
transcript.pyannote[2825].start |
14809.95284375 |
transcript.pyannote[2825].end |
14810.44221875 |
transcript.pyannote[2826].speaker |
SPEAKER_16 |
transcript.pyannote[2826].start |
14810.54346875 |
transcript.pyannote[2826].end |
14812.70346875 |
transcript.pyannote[2827].speaker |
SPEAKER_31 |
transcript.pyannote[2827].start |
14812.70346875 |
transcript.pyannote[2827].end |
14824.51596875 |
transcript.pyannote[2828].speaker |
SPEAKER_16 |
transcript.pyannote[2828].start |
14813.81721875 |
transcript.pyannote[2828].end |
14814.61034375 |
transcript.pyannote[2829].speaker |
SPEAKER_31 |
transcript.pyannote[2829].start |
14824.56659375 |
transcript.pyannote[2829].end |
14830.57409375 |
transcript.pyannote[2830].speaker |
SPEAKER_31 |
transcript.pyannote[2830].start |
14830.99596875 |
transcript.pyannote[2830].end |
14837.81346875 |
transcript.pyannote[2831].speaker |
SPEAKER_31 |
transcript.pyannote[2831].start |
14838.23534375 |
transcript.pyannote[2831].end |
14838.52221875 |
transcript.pyannote[2832].speaker |
SPEAKER_31 |
transcript.pyannote[2832].start |
14838.92721875 |
transcript.pyannote[2832].end |
14864.37471875 |
transcript.pyannote[2833].speaker |
SPEAKER_31 |
transcript.pyannote[2833].start |
14865.06659375 |
transcript.pyannote[2833].end |
14866.97346875 |
transcript.pyannote[2834].speaker |
SPEAKER_31 |
transcript.pyannote[2834].start |
14867.24346875 |
transcript.pyannote[2834].end |
14868.69471875 |
transcript.pyannote[2835].speaker |
SPEAKER_31 |
transcript.pyannote[2835].start |
14869.85909375 |
transcript.pyannote[2835].end |
14869.87596875 |
transcript.pyannote[2836].speaker |
SPEAKER_15 |
transcript.pyannote[2836].start |
14869.87596875 |
transcript.pyannote[2836].end |
14870.60159375 |
transcript.pyannote[2837].speaker |
SPEAKER_15 |
transcript.pyannote[2837].start |
14875.25909375 |
transcript.pyannote[2837].end |
14878.09409375 |
transcript.pyannote[2838].speaker |
SPEAKER_18 |
transcript.pyannote[2838].start |
14885.97471875 |
transcript.pyannote[2838].end |
14887.32471875 |
transcript.pyannote[2839].speaker |
SPEAKER_15 |
transcript.pyannote[2839].start |
14887.69596875 |
transcript.pyannote[2839].end |
14889.01221875 |
transcript.pyannote[2840].speaker |
SPEAKER_18 |
transcript.pyannote[2840].start |
14894.98596875 |
transcript.pyannote[2840].end |
14896.30221875 |
transcript.pyannote[2841].speaker |
SPEAKER_18 |
transcript.pyannote[2841].start |
14897.02784375 |
transcript.pyannote[2841].end |
14928.80346875 |
transcript.pyannote[2842].speaker |
SPEAKER_27 |
transcript.pyannote[2842].start |
14929.37721875 |
transcript.pyannote[2842].end |
14937.46034375 |
transcript.pyannote[2843].speaker |
SPEAKER_27 |
transcript.pyannote[2843].start |
14938.00034375 |
transcript.pyannote[2843].end |
14944.95284375 |
transcript.pyannote[2844].speaker |
SPEAKER_27 |
transcript.pyannote[2844].start |
14944.96971875 |
transcript.pyannote[2844].end |
14949.39096875 |
transcript.pyannote[2845].speaker |
SPEAKER_27 |
transcript.pyannote[2845].start |
14949.54284375 |
transcript.pyannote[2845].end |
14954.40284375 |
transcript.pyannote[2846].speaker |
SPEAKER_27 |
transcript.pyannote[2846].start |
14954.63909375 |
transcript.pyannote[2846].end |
14961.03471875 |
transcript.pyannote[2847].speaker |
SPEAKER_18 |
transcript.pyannote[2847].start |
14961.03471875 |
transcript.pyannote[2847].end |
14979.04034375 |
transcript.pyannote[2848].speaker |
SPEAKER_00 |
transcript.pyannote[2848].start |
14966.60346875 |
transcript.pyannote[2848].end |
14966.67096875 |
transcript.pyannote[2849].speaker |
SPEAKER_28 |
transcript.pyannote[2849].start |
14966.67096875 |
transcript.pyannote[2849].end |
14967.19409375 |
transcript.pyannote[2850].speaker |
SPEAKER_00 |
transcript.pyannote[2850].start |
14967.19409375 |
transcript.pyannote[2850].end |
14967.26159375 |
transcript.pyannote[2851].speaker |
SPEAKER_00 |
transcript.pyannote[2851].start |
14968.49346875 |
transcript.pyannote[2851].end |
14968.78034375 |
transcript.pyannote[2852].speaker |
SPEAKER_27 |
transcript.pyannote[2852].start |
14972.39159375 |
transcript.pyannote[2852].end |
14972.40846875 |
transcript.pyannote[2853].speaker |
SPEAKER_28 |
transcript.pyannote[2853].start |
14972.40846875 |
transcript.pyannote[2853].end |
14972.62784375 |
transcript.pyannote[2854].speaker |
SPEAKER_27 |
transcript.pyannote[2854].start |
14979.32721875 |
transcript.pyannote[2854].end |
14996.75909375 |
transcript.pyannote[2855].speaker |
SPEAKER_27 |
transcript.pyannote[2855].start |
14996.80971875 |
transcript.pyannote[2855].end |
14998.07534375 |
transcript.pyannote[2856].speaker |
SPEAKER_18 |
transcript.pyannote[2856].start |
14998.07534375 |
transcript.pyannote[2856].end |
15048.04221875 |
transcript.pyannote[2857].speaker |
SPEAKER_18 |
transcript.pyannote[2857].start |
15048.58221875 |
transcript.pyannote[2857].end |
15056.07471875 |
transcript.pyannote[2858].speaker |
SPEAKER_27 |
transcript.pyannote[2858].start |
15056.51346875 |
transcript.pyannote[2858].end |
15068.25846875 |
transcript.pyannote[2859].speaker |
SPEAKER_27 |
transcript.pyannote[2859].start |
15068.42721875 |
transcript.pyannote[2859].end |
15072.03846875 |
transcript.pyannote[2860].speaker |
SPEAKER_18 |
transcript.pyannote[2860].start |
15072.03846875 |
transcript.pyannote[2860].end |
15073.28721875 |
transcript.pyannote[2861].speaker |
SPEAKER_18 |
transcript.pyannote[2861].start |
15073.60784375 |
transcript.pyannote[2861].end |
15084.00284375 |
transcript.pyannote[2862].speaker |
SPEAKER_18 |
transcript.pyannote[2862].start |
15084.34034375 |
transcript.pyannote[2862].end |
15088.99784375 |
transcript.pyannote[2863].speaker |
SPEAKER_18 |
transcript.pyannote[2863].start |
15089.41971875 |
transcript.pyannote[2863].end |
15092.49096875 |
transcript.pyannote[2864].speaker |
SPEAKER_18 |
transcript.pyannote[2864].start |
15093.63846875 |
transcript.pyannote[2864].end |
15095.52846875 |
transcript.pyannote[2865].speaker |
SPEAKER_18 |
transcript.pyannote[2865].start |
15095.57909375 |
transcript.pyannote[2865].end |
15112.11659375 |
transcript.pyannote[2866].speaker |
SPEAKER_18 |
transcript.pyannote[2866].start |
15112.69034375 |
transcript.pyannote[2866].end |
15119.50784375 |
transcript.pyannote[2867].speaker |
SPEAKER_18 |
transcript.pyannote[2867].start |
15120.16596875 |
transcript.pyannote[2867].end |
15132.11346875 |
transcript.pyannote[2868].speaker |
SPEAKER_27 |
transcript.pyannote[2868].start |
15132.99096875 |
transcript.pyannote[2868].end |
15149.78159375 |
transcript.pyannote[2869].speaker |
SPEAKER_18 |
transcript.pyannote[2869].start |
15145.81596875 |
transcript.pyannote[2869].end |
15146.06909375 |
transcript.pyannote[2870].speaker |
SPEAKER_18 |
transcript.pyannote[2870].start |
15148.58346875 |
transcript.pyannote[2870].end |
15153.15659375 |
transcript.pyannote[2871].speaker |
SPEAKER_18 |
transcript.pyannote[2871].start |
15153.69659375 |
transcript.pyannote[2871].end |
15157.40909375 |
transcript.pyannote[2872].speaker |
SPEAKER_18 |
transcript.pyannote[2872].start |
15158.08409375 |
transcript.pyannote[2872].end |
15172.02284375 |
transcript.pyannote[2873].speaker |
SPEAKER_18 |
transcript.pyannote[2873].start |
15172.29284375 |
transcript.pyannote[2873].end |
15175.44846875 |
transcript.pyannote[2874].speaker |
SPEAKER_15 |
transcript.pyannote[2874].start |
15176.49471875 |
transcript.pyannote[2874].end |
15177.23721875 |
transcript.pyannote[2875].speaker |
SPEAKER_15 |
transcript.pyannote[2875].start |
15181.28721875 |
transcript.pyannote[2875].end |
15182.63721875 |
transcript.pyannote[2876].speaker |
SPEAKER_15 |
transcript.pyannote[2876].start |
15182.87346875 |
transcript.pyannote[2876].end |
15184.59471875 |
transcript.pyannote[2877].speaker |
SPEAKER_23 |
transcript.pyannote[2877].start |
15193.38659375 |
transcript.pyannote[2877].end |
15200.00159375 |
transcript.pyannote[2878].speaker |
SPEAKER_15 |
transcript.pyannote[2878].start |
15200.44034375 |
transcript.pyannote[2878].end |
15201.85784375 |
transcript.pyannote[2879].speaker |
SPEAKER_23 |
transcript.pyannote[2879].start |
15207.67971875 |
transcript.pyannote[2879].end |
15229.19534375 |
transcript.pyannote[2880].speaker |
SPEAKER_23 |
transcript.pyannote[2880].start |
15231.74346875 |
transcript.pyannote[2880].end |
15250.89659375 |
transcript.pyannote[2881].speaker |
SPEAKER_23 |
transcript.pyannote[2881].start |
15251.04846875 |
transcript.pyannote[2881].end |
15251.38596875 |
transcript.pyannote[2882].speaker |
SPEAKER_23 |
transcript.pyannote[2882].start |
15251.90909375 |
transcript.pyannote[2882].end |
15295.78409375 |
transcript.pyannote[2883].speaker |
SPEAKER_23 |
transcript.pyannote[2883].start |
15296.15534375 |
transcript.pyannote[2883].end |
15317.70471875 |
transcript.pyannote[2884].speaker |
SPEAKER_27 |
transcript.pyannote[2884].start |
15317.99159375 |
transcript.pyannote[2884].end |
15323.23971875 |
transcript.pyannote[2885].speaker |
SPEAKER_27 |
transcript.pyannote[2885].start |
15323.76284375 |
transcript.pyannote[2885].end |
15345.73409375 |
transcript.pyannote[2886].speaker |
SPEAKER_28 |
transcript.pyannote[2886].start |
15326.14221875 |
transcript.pyannote[2886].end |
15326.15909375 |
transcript.pyannote[2887].speaker |
SPEAKER_23 |
transcript.pyannote[2887].start |
15326.15909375 |
transcript.pyannote[2887].end |
15326.46284375 |
transcript.pyannote[2888].speaker |
SPEAKER_32 |
transcript.pyannote[2888].start |
15326.46284375 |
transcript.pyannote[2888].end |
15328.21784375 |
transcript.pyannote[2889].speaker |
SPEAKER_23 |
transcript.pyannote[2889].start |
15344.46846875 |
transcript.pyannote[2889].end |
15345.10971875 |
transcript.pyannote[2890].speaker |
SPEAKER_23 |
transcript.pyannote[2890].start |
15345.58221875 |
transcript.pyannote[2890].end |
15362.81159375 |
transcript.pyannote[2891].speaker |
SPEAKER_27 |
transcript.pyannote[2891].start |
15346.52721875 |
transcript.pyannote[2891].end |
15347.05034375 |
transcript.pyannote[2892].speaker |
SPEAKER_23 |
transcript.pyannote[2892].start |
15363.41909375 |
transcript.pyannote[2892].end |
15382.58909375 |
transcript.pyannote[2893].speaker |
SPEAKER_23 |
transcript.pyannote[2893].start |
15382.77471875 |
transcript.pyannote[2893].end |
15413.60534375 |
transcript.pyannote[2894].speaker |
SPEAKER_16 |
transcript.pyannote[2894].start |
15413.60534375 |
transcript.pyannote[2894].end |
15413.63909375 |
transcript.pyannote[2895].speaker |
SPEAKER_16 |
transcript.pyannote[2895].start |
15414.38159375 |
transcript.pyannote[2895].end |
15414.53346875 |
transcript.pyannote[2896].speaker |
SPEAKER_16 |
transcript.pyannote[2896].start |
15415.15784375 |
transcript.pyannote[2896].end |
15429.29909375 |
transcript.pyannote[2897].speaker |
SPEAKER_23 |
transcript.pyannote[2897].start |
15422.04284375 |
transcript.pyannote[2897].end |
15422.88659375 |
transcript.pyannote[2898].speaker |
SPEAKER_23 |
transcript.pyannote[2898].start |
15429.29909375 |
transcript.pyannote[2898].end |
15430.68284375 |
transcript.pyannote[2899].speaker |
SPEAKER_16 |
transcript.pyannote[2899].start |
15429.70409375 |
transcript.pyannote[2899].end |
15434.41221875 |
transcript.pyannote[2900].speaker |
SPEAKER_23 |
transcript.pyannote[2900].start |
15434.41221875 |
transcript.pyannote[2900].end |
15470.59221875 |
transcript.pyannote[2901].speaker |
SPEAKER_27 |
transcript.pyannote[2901].start |
15470.59221875 |
transcript.pyannote[2901].end |
15470.60909375 |
transcript.pyannote[2902].speaker |
SPEAKER_23 |
transcript.pyannote[2902].start |
15471.80721875 |
transcript.pyannote[2902].end |
15471.82409375 |
transcript.pyannote[2903].speaker |
SPEAKER_27 |
transcript.pyannote[2903].start |
15471.82409375 |
transcript.pyannote[2903].end |
15474.16971875 |
transcript.pyannote[2904].speaker |
SPEAKER_27 |
transcript.pyannote[2904].start |
15474.57471875 |
transcript.pyannote[2904].end |
15478.62471875 |
transcript.pyannote[2905].speaker |
SPEAKER_27 |
transcript.pyannote[2905].start |
15478.96221875 |
transcript.pyannote[2905].end |
15479.46846875 |
transcript.pyannote[2906].speaker |
SPEAKER_27 |
transcript.pyannote[2906].start |
15480.58221875 |
transcript.pyannote[2906].end |
15488.41221875 |
transcript.pyannote[2907].speaker |
SPEAKER_27 |
transcript.pyannote[2907].start |
15488.95221875 |
transcript.pyannote[2907].end |
15493.32284375 |
transcript.pyannote[2908].speaker |
SPEAKER_27 |
transcript.pyannote[2908].start |
15493.87971875 |
transcript.pyannote[2908].end |
15501.20346875 |
transcript.pyannote[2909].speaker |
SPEAKER_27 |
transcript.pyannote[2909].start |
15501.86159375 |
transcript.pyannote[2909].end |
15522.33096875 |
transcript.pyannote[2910].speaker |
SPEAKER_27 |
transcript.pyannote[2910].start |
15522.78659375 |
transcript.pyannote[2910].end |
15527.29221875 |
transcript.pyannote[2911].speaker |
SPEAKER_27 |
transcript.pyannote[2911].start |
15527.88284375 |
transcript.pyannote[2911].end |
15535.22346875 |
transcript.pyannote[2912].speaker |
SPEAKER_27 |
transcript.pyannote[2912].start |
15535.40909375 |
transcript.pyannote[2912].end |
15539.44221875 |
transcript.pyannote[2913].speaker |
SPEAKER_23 |
transcript.pyannote[2913].start |
15539.44221875 |
transcript.pyannote[2913].end |
15608.59596875 |
transcript.pyannote[2914].speaker |
SPEAKER_27 |
transcript.pyannote[2914].start |
15539.45909375 |
transcript.pyannote[2914].end |
15539.61096875 |
transcript.pyannote[2915].speaker |
SPEAKER_23 |
transcript.pyannote[2915].start |
15609.15284375 |
transcript.pyannote[2915].end |
15611.05971875 |
transcript.pyannote[2916].speaker |
SPEAKER_23 |
transcript.pyannote[2916].start |
15611.27909375 |
transcript.pyannote[2916].end |
15612.02159375 |
transcript.pyannote[2917].speaker |
SPEAKER_15 |
transcript.pyannote[2917].start |
15611.34659375 |
transcript.pyannote[2917].end |
15612.30846875 |
transcript.pyannote[2918].speaker |
SPEAKER_15 |
transcript.pyannote[2918].start |
15613.62471875 |
transcript.pyannote[2918].end |
15614.55284375 |
transcript.pyannote[2919].speaker |
SPEAKER_15 |
transcript.pyannote[2919].start |
15616.05471875 |
transcript.pyannote[2919].end |
15631.78221875 |
transcript.pyannote[2920].speaker |
SPEAKER_15 |
transcript.pyannote[2920].start |
15632.94659375 |
transcript.pyannote[2920].end |
15637.36784375 |
transcript.pyannote[2921].speaker |
SPEAKER_15 |
transcript.pyannote[2921].start |
15637.63784375 |
transcript.pyannote[2921].end |
15637.87409375 |
transcript.pyannote[2922].speaker |
SPEAKER_15 |
transcript.pyannote[2922].start |
15638.17784375 |
transcript.pyannote[2922].end |
15638.51534375 |
transcript.pyannote[2923].speaker |
SPEAKER_15 |
transcript.pyannote[2923].start |
15638.85284375 |
transcript.pyannote[2923].end |
15639.29159375 |
transcript.pyannote[2924].speaker |
SPEAKER_15 |
transcript.pyannote[2924].start |
15640.18596875 |
transcript.pyannote[2924].end |
15640.81034375 |
transcript.pyannote[2925].speaker |
SPEAKER_15 |
transcript.pyannote[2925].start |
15642.90284375 |
transcript.pyannote[2925].end |
15682.81221875 |
transcript.pyannote[2926].speaker |
SPEAKER_15 |
transcript.pyannote[2926].start |
15683.45346875 |
transcript.pyannote[2926].end |
15711.58409375 |
transcript.pyannote[2927].speaker |
SPEAKER_15 |
transcript.pyannote[2927].start |
15711.88784375 |
transcript.pyannote[2927].end |
15734.14596875 |
transcript.pyannote[2928].speaker |
SPEAKER_15 |
transcript.pyannote[2928].start |
15737.18346875 |
transcript.pyannote[2928].end |
15742.97159375 |
transcript.pyannote[2929].speaker |
SPEAKER_15 |
transcript.pyannote[2929].start |
15745.03034375 |
transcript.pyannote[2929].end |
15747.03846875 |
transcript.pyannote[2930].speaker |
SPEAKER_15 |
transcript.pyannote[2930].start |
15747.20721875 |
transcript.pyannote[2930].end |
15747.25784375 |
transcript.pyannote[2931].speaker |
SPEAKER_15 |
transcript.pyannote[2931].start |
15747.27471875 |
transcript.pyannote[2931].end |
15749.36721875 |
transcript.pyannote[2932].speaker |
SPEAKER_04 |
transcript.pyannote[2932].start |
15748.30409375 |
transcript.pyannote[2932].end |
15748.96221875 |
transcript.pyannote[2933].speaker |
SPEAKER_04 |
transcript.pyannote[2933].start |
15749.36721875 |
transcript.pyannote[2933].end |
15749.43471875 |
transcript.pyannote[2934].speaker |
SPEAKER_04 |
transcript.pyannote[2934].start |
15749.97471875 |
transcript.pyannote[2934].end |
15750.02534375 |
transcript.pyannote[2935].speaker |
SPEAKER_04 |
transcript.pyannote[2935].start |
15752.33721875 |
transcript.pyannote[2935].end |
15752.40471875 |
transcript.pyannote[2936].speaker |
SPEAKER_17 |
transcript.pyannote[2936].start |
15752.40471875 |
transcript.pyannote[2936].end |
15754.61534375 |
transcript.pyannote[2937].speaker |
SPEAKER_04 |
transcript.pyannote[2937].start |
15754.61534375 |
transcript.pyannote[2937].end |
15754.68284375 |
transcript.pyannote[2938].speaker |
SPEAKER_04 |
transcript.pyannote[2938].start |
15756.72471875 |
transcript.pyannote[2938].end |
15757.97346875 |
transcript.pyannote[2939].speaker |
SPEAKER_04 |
transcript.pyannote[2939].start |
15757.99034375 |
transcript.pyannote[2939].end |
15758.02409375 |
transcript.pyannote[2940].speaker |
SPEAKER_17 |
transcript.pyannote[2940].start |
15758.81721875 |
transcript.pyannote[2940].end |
15759.47534375 |
transcript.pyannote[2941].speaker |
SPEAKER_30 |
transcript.pyannote[2941].start |
15769.38096875 |
transcript.pyannote[2941].end |
15769.46534375 |
transcript.pyannote[2942].speaker |
SPEAKER_30 |
transcript.pyannote[2942].start |
15773.24534375 |
transcript.pyannote[2942].end |
15774.32534375 |
transcript.pyannote[2943].speaker |
SPEAKER_30 |
transcript.pyannote[2943].start |
15776.63721875 |
transcript.pyannote[2943].end |
15778.76346875 |
transcript.pyannote[2944].speaker |
SPEAKER_04 |
transcript.pyannote[2944].start |
15778.84784375 |
transcript.pyannote[2944].end |
15779.05034375 |
transcript.pyannote[2945].speaker |
SPEAKER_04 |
transcript.pyannote[2945].start |
15779.16846875 |
transcript.pyannote[2945].end |
15781.36221875 |
transcript.pyannote[2946].speaker |
SPEAKER_28 |
transcript.pyannote[2946].start |
15795.55409375 |
transcript.pyannote[2946].end |
15796.49909375 |
transcript.pyannote[2947].speaker |
SPEAKER_28 |
transcript.pyannote[2947].start |
15797.66346875 |
transcript.pyannote[2947].end |
15797.79846875 |
transcript.pyannote[2948].speaker |
SPEAKER_28 |
transcript.pyannote[2948].start |
15797.93346875 |
transcript.pyannote[2948].end |
15802.03409375 |
transcript.whisperx[0].start |
360.265 |
transcript.whisperx[0].end |
361.067 |
transcript.whisperx[0].text |
MING PAO CANADA MANGA |
transcript.whisperx[1].start |
955.364 |
transcript.whisperx[1].end |
955.508 |
transcript.whisperx[1].text |
其中: |
transcript.whisperx[2].start |
1578.414 |
transcript.whisperx[2].end |
1578.516 |
transcript.whisperx[2].text |
全體委員會主任委員 |
transcript.whisperx[3].start |
1628.359 |
transcript.whisperx[3].end |
1632.036 |
transcript.whisperx[3].text |
全體委員會主任委員會主席 |
transcript.whisperx[4].start |
1754.878 |
transcript.whisperx[4].end |
1760.663 |
transcript.whisperx[4].text |
我們現在主法定人數現在正式開會進行報告事項請宣讀上次會議意思錄 |
transcript.whisperx[5].start |
1773.24 |
transcript.whisperx[5].end |
1795.303 |
transcript.whisperx[5].text |
立法院第11屆第1會期經濟委員會第15次全體委員會議議事錄時間113年6月5日星期三9時至13時40分地點紅樓10會議室出席委員、林代化委員等14人略席委員、洪孟楷委員等26人略席人員、經濟部部長、郭志輝及相關人員、主席、邱昭吉委員、易雲 |
transcript.whisperx[6].start |
1796.937 |
transcript.whisperx[6].end |
1822.153 |
transcript.whisperx[6].text |
報告事項一 宣讀上次會議事務決定確定二 邀請經濟部部長列席報告業務概況並備質詢經濟部部長郭志輝報告後委員林大化等27人提出質詢均由經濟部郭部長及鄉外人即席答覆決定一 登記方委員除在不在場外其餘均與發言完畢詢答結束二 委員李博義所提書面質詢列入紀錄刊登公報 |
transcript.whisperx[7].start |
1822.933 |
transcript.whisperx[7].end |
1829.139 |
transcript.whisperx[7].text |
三 書面執行案未及答覆部分請相關單位於一週內以書面答覆並赴日本會 散會宣讀完畢 |
transcript.whisperx[8].start |
1832.247 |
transcript.whisperx[8].end |
1836.768 |
transcript.whisperx[8].text |
邀請國家發展委員會主任委員、經濟部部長、國家科學及技術委員會首長、數位發展部首長、教育部首長就:「為掌握生成式AI等關鍵技術 |
transcript.whisperx[9].start |
1857.233 |
transcript.whisperx[9].end |
1859.574 |
transcript.whisperx[9].text |
及擴展產業發展打造智慧未來進行報告並備諮詢 宣讀完畢 |
transcript.whisperx[10].start |
1878.8 |
transcript.whisperx[10].end |
1906.276 |
transcript.whisperx[10].text |
好 那我們今日議程排定是為掌握生成式的AI等關鍵技術.帶來的產業革命機會.台灣要如何的來深化AI生態系以及充實AI人才與產業AI化.促進台灣產業數位轉型與運用AI賦能的升級.擴展產業的發展打造智慧未來 |
transcript.whisperx[11].start |
1907.336 |
transcript.whisperx[11].end |
1930.945 |
transcript.whisperx[11].text |
進行報告以及備諮詢。」我們在進行詢問之前首先要來介紹今天列席的部會首長我們首先歡迎國發會主委 劉主委我們國發會發展管理基金的代理執行秘書 汪執行秘書 |
transcript.whisperx[12].start |
1933.999 |
transcript.whisperx[12].end |
1960.08 |
transcript.whisperx[12].text |
我們經濟部 郭部長我們國科會副主委 林副主委接下來我們書發部的政事 林政事接下來還有我們教育部我們的葉政事歡迎 |
transcript.whisperx[13].start |
1962.691 |
transcript.whisperx[13].end |
1964.012 |
transcript.whisperx[13].text |
來接下來我們要請國發會劉靜欽主委來進行報告請 |
transcript.whisperx[14].start |
1981.772 |
transcript.whisperx[14].end |
1992.267 |
transcript.whisperx[14].text |
主席、各位委員、各位在場的記者大家好今天很榮幸代表國安會來到貴會、貴委員會針對促進AI產業發展進行報告與質詢 |
transcript.whisperx[15].start |
1998.576 |
transcript.whisperx[15].end |
2027.207 |
transcript.whisperx[15].text |
AI這個議題其實也不是今天才有的在之前就已經開始發生了但是這幾年的生成式AI帶動了一個浪潮這個浪潮看起來會讓整個世界有一個很大的進化跟進步因此其實政府在112年就已經看到了所以在112年我們訂定了台灣AI行動計畫2.0也成立了這個精創台灣方案這兩個方案都在進行中 |
transcript.whisperx[16].start |
2028.027 |
transcript.whisperx[16].end |
2051.401 |
transcript.whisperx[16].text |
那之後在我們總統的競選的政見裡面加上卓院長整合出來的希望工程也有創新經濟、智慧國家兩個重要的政策發展也就造成我們今天朝向創新經濟的發展尤其在信賴無產業裡面講得很清楚那兩個很重要的核心關鍵就是第一個是半導體第二個就是我們的AI的發展 |
transcript.whisperx[17].start |
2053.482 |
transcript.whisperx[17].end |
2068.29 |
transcript.whisperx[17].text |
這兩個發展很明顯會成為台灣在未來經濟成長最重要的兩支支柱與核心為了強化這個支柱與核心本會從整個生態系重新整理在市場、能力、人才、資本、法規這五個構面 |
transcript.whisperx[18].start |
2070.411 |
transcript.whisperx[18].end |
2096.261 |
transcript.whisperx[18].text |
進行強化希望讓台灣的產業能夠抓到這一次的脈絡的動機機會然後往前走那這個機會的市場的部分我們是用微笑曲線來做一個分析我們微笑曲線大概是一個弧形分成三段最底端的是製造也就是過去台灣非常強的一塊那目前我們在伺服器的製造甚至在一些主機板等等的應用我們已經到了 |
transcript.whisperx[19].start |
2097.081 |
transcript.whisperx[19].end |
2113.749 |
transcript.whisperx[19].text |
大概全球有90%的市佔率簡單的講這個世界沒有台灣就很難看到server很難看到AI server的產生這個關鍵的部位抓到之後我們往上游供應鏈走的部分從目前散熱的模組也好 |
transcript.whisperx[20].start |
2114.369 |
transcript.whisperx[20].end |
2131.33 |
transcript.whisperx[20].text |
到連接器﹐各種電子零組件﹐到半導體的生產﹐到設計﹐台灣也取得了關鍵位置再往前一走上去是Sensor跟Data Collect的部分是我們還要再加強的部分 |
transcript.whisperx[21].start |
2131.71 |
transcript.whisperx[21].end |
2150.604 |
transcript.whisperx[21].text |
所以在Research的部分從物理學、光學這些地方雷射等等我們會希望在這個地方再強化讓我們在前端的Sensor取得Data的部分再運作回來的話它是一個供應鏈更強化完整的部分另外還有一塊就是整個Server做完以後供應出去是應用面 |
transcript.whisperx[22].start |
2151.464 |
transcript.whisperx[22].end |
2180.318 |
transcript.whisperx[22].text |
這個應用面來自於解決方案從智慧的解決方案到智慧人員到智慧的醫療生活的應用、智慧生活的應用等等都是一個很大的市場這塊市場是台灣目前比較少著墨的那估計整個市場大概佔全球來講大概有2.3兆美元一年的市場那我們目前市佔率應該是在千分之一左右所以這一塊是我們會很強化發展的地方 |
transcript.whisperx[23].start |
2180.958 |
transcript.whisperx[23].end |
2196.876 |
transcript.whisperx[23].text |
這樣的話讓台灣在整個AI的這個價值鏈裡面都能夠有一定的發展機會那這個在執行的部分在AI運用的部分是我們會跟這個數碼部一起在努力往這條路走那另外在 |
transcript.whisperx[24].start |
2197.856 |
transcript.whisperx[24].end |
2210.406 |
transcript.whisperx[24].text |
國科會會負責在零件跟經濟部會在零件端跟研究端的發展然後經濟部會在製造端當然教育部跟勞動部都會在人力上面提供比較大的協助 |
transcript.whisperx[25].start |
2212.367 |
transcript.whisperx[25].end |
2229.112 |
transcript.whisperx[25].text |
整個市場看到之後依據市場的開發我們協助廠商之後其實我們要建構後面的幾個關鍵的生態系統那第一個比較大的關鍵系統是來自於人才我們可以看得到輝達過來就號稱他一次就要找一千人 |
transcript.whisperx[26].start |
2229.992 |
transcript.whisperx[26].end |
2243.701 |
transcript.whisperx[26].text |
那這裡面形成一個很巨大的壓力就是過去可能整個台灣的市場在考慮上面永遠不知道下一個廠商會要幾千人那這個是永遠在追逐那全世界目前都遇到人才荒都在努力解決這個方向 |
transcript.whisperx[27].start |
2245.282 |
transcript.whisperx[27].end |
2268.439 |
transcript.whisperx[27].text |
那這個方向我們現在朝幾個方向做從比較短期到中期長期都開始在進行那這個進行也是兩年前就開始在發展那目前我們會從人才會有Build and Buy就是從自己培育跟從外面獵財、攬財這兩個方向來做那自己培育我們目前是從政府、學校、社會三個構面在發展 |
transcript.whisperx[28].start |
2270.04 |
transcript.whisperx[28].end |
2297.621 |
transcript.whisperx[28].text |
那在攬財的部分呢我們現在正在盤點世界各國主要競爭國的他的人才吸引條件那我們必須創造比他們更好的吸引條件才有機會把這群人吸引過來、流過來那所以我們也正在規劃中那以政府的部分目前是做得比較多的我們政府跟學校兩個地方合計起來在今年2024年預計會有10萬9千7百位數位相關人才投入市場 |
transcript.whisperx[29].start |
2298.542 |
transcript.whisperx[29].end |
2326.112 |
transcript.whisperx[29].text |
投入市場。」那這裡面最大的一塊是來自教育部教育部大概會有8.3萬那除了有2萬多人來自於這個數位相關科系之外教育部也很積極地推動STEM就是讓非資訊科系非數位科系的學生可以透過學程的方式去培養自己這方面的能力那這個地方培養出來的人力現在也是非常多大概有一年可以有6萬2千人 |
transcript.whisperx[30].start |
2329.069 |
transcript.whisperx[30].end |
2336.737 |
transcript.whisperx[30].text |
同時,國發會也跟教育部學校合作,做了很多企業專班,培養人才發展。社會方面,從勞動部 |
transcript.whisperx[31].start |
2345.805 |
transcript.whisperx[31].end |
2359.58 |
transcript.whisperx[31].text |
這個國科會等單位也都有在做這方面人才的協助與發展那這樣的話目前來看的話在短期內還算是可以使用但是比較會大的落差是來自於尖端特殊 |
transcript.whisperx[32].start |
2360.821 |
transcript.whisperx[32].end |
2362.081 |
transcript.whisperx[32].text |
特殊領域需要的人才。」 |
transcript.whisperx[33].start |
2383.886 |
transcript.whisperx[33].end |
2404.591 |
transcript.whisperx[33].text |
企業的部分我們也會大幅的去協助企業來做大幅的培育那早年其實整個資訊行業每個領域外表看起來是叫AI往裡面一展下去它可能有數百個領域那數百個領域的人才我們就要協助企業去進行發展那另外對於勞動部也對於中小企業提供了相當的補助 |
transcript.whisperx[34].start |
2406.212 |
transcript.whisperx[34].end |
2421.644 |
transcript.whisperx[34].text |
這個補助方案也會讓中小企業可以比較輕鬆地去培育這樣的人才所以我們從輔佐大型的企業到中型、小型企業目前都有考慮到也在努力當中當然在一個全球的競爭上面我們還是希望奮力地往前走 |
transcript.whisperx[35].start |
2422.364 |
transcript.whisperx[35].end |
2448.619 |
transcript.whisperx[35].text |
那另外一部分就是我們也開始創造這個有利條件之外我們開始在持續鬆綁法規我們希望這個法規的鬆綁能讓更多的人留在台灣那更多的人願意到台灣來那我們把這些誘因整理完之後呢我們也對於這個整理完之後其實我們會還要進一步的跟企業用企業的方法來做什麼叫企業的方法呢就是我們從過去設立網站 |
transcript.whisperx[36].start |
2451.641 |
transcript.whisperx[36].end |
2459.1 |
transcript.whisperx[36].text |
然後放寬法規然後培養人才然後等待這些人才進來到我們到不同的國家去投放廣告 |
transcript.whisperx[37].start |
2460.034 |
transcript.whisperx[37].end |
2489.614 |
transcript.whisperx[37].text |
所以我們會開始進入精準廣告的投放到我們特定的美國或者是中歐一帶我們目標的市場開始去吸引這些人然後透過精準廣告的投放讓他們可以想要來台灣的人或是想要到海外發展的人可以找到台灣的訊息那透過我們網站的吸引來走進來所以我們會強化我們在Talent台灣這個Program跟網站上的發展那另外在資金面的部分 |
transcript.whisperx[38].start |
2491.235 |
transcript.whisperx[38].end |
2502.022 |
transcript.whisperx[38].text |
我們會在融資跟投資兩面同時下手。」那投資的部分我們目前跟這個出發部我們稍微有一個討論我們計劃曠業100億AI的創新專業投資那由出發部來執行做 |
transcript.whisperx[39].start |
2509.326 |
transcript.whisperx[39].end |
2522.162 |
transcript.whisperx[39].text |
做大幅的投資專注在AI領域的發展:同時我們也會強化國際基金在相關領域的發展讓這個資金的面向會拉得更大我們也同時希望找金管會來放寬法規 |
transcript.whisperx[40].start |
2525.065 |
transcript.whisperx[40].end |
2541.457 |
transcript.whisperx[40].text |
讓保險資金也可以進到這個領域創造更多的投資的量能另外我們也會強化在我們目前在整個被投資標的5的改善這個標的5的改善包括我們跟GaragePlus等等這些單位在合作 |
transcript.whisperx[41].start |
2542.117 |
transcript.whisperx[41].end |
2559.184 |
transcript.whisperx[41].text |
所以這次在黃仁勳在台大演講他在他的背板上打出了很多公司裡面有5家就是我們投資輔導的公司被在黃仁勳的那個演講裡面出來那我們裡面也有2家是我們合作的夥伴那我們共同在培養 |
transcript.whisperx[42].start |
2559.904 |
transcript.whisperx[42].end |
2576.122 |
transcript.whisperx[42].text |
那另外在融資的方面我們也會在這方面跟銀行協調希望給予更多的資金進到這個市場讓資金更充裕再投資更方便另外在研發上面的合作我們現在也積極的去建立一個Tech Hub |
transcript.whisperx[43].start |
2577.083 |
transcript.whisperx[43].end |
2597.583 |
transcript.whisperx[43].text |
所謂Tech Hub就是把一個Hub把各種相關的科技從AI的發展領域到先進科技發展領域到創新創業領域我們集中在一個區那這個生態區包括也有住宿的部分去整合起來那其中AI的部分目前是我們協助速發部開始在規劃工建的部分那如果 |
transcript.whisperx[44].start |
2599.11 |
transcript.whisperx[44].end |
2628.479 |
transcript.whisperx[44].text |
我們將來就是很快的會去協助審核完成這個部分讓它盡快可以運作起來那這個運作起來的話就可以跟國外合作那目前我們也找了一些學校希望跟國外進行整個AI的合作因為在美國這個領域是比較新的所以譬如說我們跟台大目前大概在合作台大跟伊利諾那在德州這些地方的學校都有進行相關的合作我們希望去進行產學的合作一起帶動所以讓我們的研發可以更完整那同時呢 |
transcript.whisperx[45].start |
2629.72 |
transcript.whisperx[45].end |
2645.716 |
transcript.whisperx[45].text |
當然我想經濟部也會做相關的法規更進一步的鬆綁那這樣的話呢就讓我們的研發的量能可以拉得比較高一些那繼續往前邁進那同時我們在學校方面我們也投資了投資了資金跟企業合作那讓什麼讓老師 |
transcript.whisperx[46].start |
2648.078 |
transcript.whisperx[46].end |
2657.946 |
transcript.whisperx[46].text |
的待遇不再是受限於政府的規定:可以有更高的金額去吸引到比較有經驗的產業的業士進來然後透過實務跟學校兩邊的產學合作培養比較務實的人 |
transcript.whisperx[47].start |
2663.73 |
transcript.whisperx[47].end |
2678.333 |
transcript.whisperx[47].text |
另外在市場面我們除了去發展創新創業領域我們希望大力投資在AI的新創跟轉型跟創業這三個領域上面我們都會引入國發基金來協助之外我們也會透過我們投資的創新創業去協助百工百業的帶動 |
transcript.whisperx[48].start |
2684.855 |
transcript.whisperx[48].end |
2705.899 |
transcript.whisperx[48].text |
尤其是讓這些單位去協助傳產跟中小企業原因是傳產跟中小企業過去在人才戰爭上面他處於比較低的弱勢那我們引導我們的新創團隊或是創業比較成熟的或是一些企業的轉型團隊轉到這裡面來那透過資金的協助跟誘導讓他進來之後呢透過財務政策的誘導讓他進來之後呢就會讓這個產業比較容易有機會讓他的產品開始進入比較AI的世界 |
transcript.whisperx[49].start |
2714.04 |
transcript.whisperx[49].end |
2726.294 |
transcript.whisperx[49].text |
也可以把關鍵零組件改善比如說在工具機的關鍵零組件我們過去仰賴於日本跟德國那如果我們好好的發展的話可以取代下來那第二個把大量的AI導進這個產業裡面也會讓它的整個產品的競爭力會提升 |
transcript.whisperx[50].start |
2730.058 |
transcript.whisperx[50].end |
2752.723 |
transcript.whisperx[50].text |
那我們都會朝這幾個地方去發展那我們同時也積極地會在東京跟矽谷都設立我們的創新中心那這個創新中心的主要目的是每一屆台灣的創新創業團隊能夠走入全球也跟著試著也把美國、日本等地的創新團隊引進台灣進行一個交流合作 |
transcript.whisperx[51].start |
2753.463 |
transcript.whisperx[51].end |
2777.001 |
transcript.whisperx[51].text |
這些合作都在進行中我們的新放的基地也預計今年下半年會設置完成不論是在美國或是在矽谷或是在東京我們都會盡快地把它做起來這樣的話就會形成一個比較完整的生態系從市場面看得精準 |
transcript.whisperx[52].start |
2778.502 |
transcript.whisperx[52].end |
2796.012 |
transcript.whisperx[52].text |
從這個人才面大力的扶植跟培育那再從這個資金面我們提供足夠的資金與發展然後在研發面跟市場面我們都把它可以投資下去的話我想這個產業的發展就很快可以實現政府信賴產業跟創新經濟的發展也可以帶動這個產業的發展我的報告到此了 謝謝 |
transcript.whisperx[53].start |
2802.742 |
transcript.whisperx[53].end |
2808.83 |
transcript.whisperx[53].text |
好 謝謝我們國防會主委的報告那接下來我們請經濟部 郭部長請 |
transcript.whisperx[54].start |
2836.963 |
transcript.whisperx[54].end |
2858.575 |
transcript.whisperx[54].text |
主席、各位委員大家好陳孟貴委員的邀請就AI相關主題來進行報告那麼敬請各位委員先進不吝視教那麼首先跟各位報告就是AI人工智慧發展的趨勢剛才我想這個劉主委也說了很多 |
transcript.whisperx[55].start |
2859.605 |
transcript.whisperx[55].end |
2875.838 |
transcript.whisperx[55].text |
隨著OpenAI於2022年推出的CHOP GPT﹐AI技術進入一個新時代﹐預計將啟動新一波的AI應用大爆發﹐台灣具備半導體與資通訊的產業優勢﹐是支持AI發展的關鍵要素﹐ |
transcript.whisperx[56].start |
2880.59 |
transcript.whisperx[56].end |
2902.33 |
transcript.whisperx[56].text |
今年臺北國際電腦展Computex中全球AI科技大廠如輝達、超維、英特爾、高通、美超維以及國內聯發科等重要廠商的高層都出現足證台灣已經躍居為全球AI發展的關鍵核心 |
transcript.whisperx[57].start |
2904.673 |
transcript.whisperx[57].end |
2928.141 |
transcript.whisperx[57].text |
那麼我們要談這個培育國內所需的AI人才呢那麼在這個全球面臨AI應用成長的爆發期台灣必須要加速推動AI產業創新以創臥巨大商機並帶動企業全面數位轉型為此培育各行業AI人才刻不容返本人已經在貴委員會經濟部業務報告中宣誓 |
transcript.whisperx[58].start |
2933.784 |
transcript.whisperx[58].end |
2958.436 |
transcript.whisperx[58].text |
將在4年內培育20萬名AI人才將涵蓋大語言模型訓練與微調等人才加速百工百業的AI應用人才培育並推動AI人才認證以符合AI發展的趨勢期待透過跨部會合作達成共同目標滿足AI時代的人才需求 |
transcript.whisperx[59].start |
2960.936 |
transcript.whisperx[59].end |
2985.566 |
transcript.whisperx[59].text |
台灣專屬生成式AI核心技術是可以看到現在國際AI科技大廠陸續推出生成式AI工具但主要以一般知識的問答、英文資料為主對於產業專業知識如半導體製程、我國的金融法規乃至於繁體中文的運用 |
transcript.whisperx[60].start |
2987.591 |
transcript.whisperx[60].end |
3012.189 |
transcript.whisperx[60].text |
就無法完全滿足使用者的需求另外,國際大廠的AI服務都需要使用者把資料上傳到雲端對企業會有機密資料外洩的風險本部將建立專屬的生成式AI核心技術運用台灣在製造和服務產業豐富的知識和資料 |
transcript.whisperx[61].start |
3014.636 |
transcript.whisperx[61].end |
3037.53 |
transcript.whisperx[61].text |
打造出台灣產業專屬模型讓AI服務可以在企業內部使用以提升資安等級而且懂得企業想要知道的特定知識協助業者實現產業AI化提升產業競爭力引進國際大廠來台設立研發中心 |
transcript.whisperx[62].start |
3042.369 |
transcript.whisperx[62].end |
3060.527 |
transcript.whisperx[62].text |
本部積極引進國際領先企業來臺設立研發中心這不僅能帶來最先進的技術也能讓台灣的廠商進入全球創新價值鏈同時吸引頂尖人才來臺促進台灣人才的培訓與升級 |
transcript.whisperx[63].start |
3062.817 |
transcript.whisperx[63].end |
3080.148 |
transcript.whisperx[63].text |
這些國際人才來此學習台灣AI發展的經驗回國以後能夠貢獻母國促進雙方科技研發的雙贏攜手共創商機今年本部把握盛大的臺北國際電腦展的機會與多家國際大廠深入洽談合作 |
transcript.whisperx[64].start |
3085.967 |
transcript.whisperx[64].end |
3112.066 |
transcript.whisperx[64].text |
未來將會陸續引進更多外資企業進駐台灣相關合作內容將在適當的時間向各位委員報告輔導百工百業導入AI本部積極整合產業需求與各方資源開通法人與工協會支付業者合作 |
transcript.whisperx[65].start |
3113.939 |
transcript.whisperx[65].end |
3138.962 |
transcript.whisperx[65].text |
推動AI技術在各行各業的普及提升產業競爭力與數位轉型具體措施包括一、擴散生成式AI核心技術與領域專屬模型提供跨部會與GAI共通平台上的應用協助中小企業數位轉型二、透過應用 |
transcript.whisperx[66].start |
3141.743 |
transcript.whisperx[66].end |
3153.771 |
transcript.whisperx[66].text |
驗證以及大大小方式擴散普及﹐輔導百工百業運用生成式AI﹐建立產業導入AI資運﹐透過專家顧問輔導企業導入成熟AI工具﹐促進 |
transcript.whisperx[67].start |
3161.333 |
transcript.whisperx[67].end |
3187.652 |
transcript.whisperx[67].text |
製造業AI普及加速將運用產創條例十之一創新租稅優惠修正案提高產業對AI應用的投資預計在117年製造業AI應用普及率從目前的12.3%提升到50%最後經濟部最重要的任務就是活絡台灣經濟與產業發展 |
transcript.whisperx[68].start |
3190.302 |
transcript.whisperx[68].end |
3219.565 |
transcript.whisperx[68].text |
本部將致力於推動人工智慧在台灣產業化且持續發展建立具備AI算力的超級電腦此外也將培養產業所需人才讓人工智慧在台灣有更多創新的面貌更重要的是要推動AI在百工百業的運用強化競爭力讓台灣成為世界的支柱讓台灣成為人工智慧島 |
transcript.whisperx[69].start |
3220.908 |
transcript.whisperx[69].end |
3241.189 |
transcript.whisperx[69].text |
期盼各位委員對於本部施政指正視教本會期送請大院審議的相關議案亦懇請委員鼎力資助最後敬祝各位委員身體健康萬事如意以上報告敬請各位委員指教謝謝 |
transcript.whisperx[70].start |
3246.104 |
transcript.whisperx[70].end |
3257.717 |
transcript.whisperx[70].text |
好 謝謝郭部長的報告那我們先來處理議事錄現在已足法定人數三位請問剛剛所宣讀的議事錄有沒有意見好 那我們議事錄確認那現在呢 |
transcript.whisperx[71].start |
3262.624 |
transcript.whisperx[71].end |
3280.695 |
transcript.whisperx[71].text |
這個我們還有國科會以及數發部還有教育部的書面報告我們請委員自行參閱並刊登公報謝謝那現在我們要進行詢答在委員詢答前主席台依照慣例做以下幾項的宣告 |
transcript.whisperx[72].start |
3281.255 |
transcript.whisperx[72].end |
3301.926 |
transcript.whisperx[72].text |
每位委員發言的時間本會委員6分鐘加必要時加2分鐘非本會委員4分鐘10點半截止發言登記那我要拜託我們委員時間掌控一下因為今天登記的委員非常的熱情謝謝那我們現在請登記第一位的林黛樺委員請做發言有請國發會主委我們請國發會主委 |
transcript.whisperx[73].start |
3314.039 |
transcript.whisperx[73].end |
3335.985 |
transcript.whisperx[73].text |
主委我就先看你的簡報你第一頁當中去講到說您報告有台灣AI行動2.0跟精創台灣方案這未來的9年那我要提醒你的你的精創台灣方案當中補助都在優勢產業也就是在最基層的硬體的部分它在終端的相關的運算中心包括相關的運用領域是沒有的 |
transcript.whisperx[74].start |
3336.385 |
transcript.whisperx[74].end |
3354.966 |
transcript.whisperx[74].text |
所以我提醒你這是在你竟然是今年開始你也放在你的這個簡報當中表示你是很重視的那包括你的台灣AI行動2.0這當中的執行計畫但既然你先來我要拜託你等一下我質詢的時候也會講你們的計畫方案也講得很好包括今年你們也編列119億 |
transcript.whisperx[75].start |
3357.749 |
transcript.whisperx[75].end |
3372.202 |
transcript.whisperx[75].text |
那我要拜託你要重新的來檢視它是不是真的符合AI的運作再來你的人才培訓當中你花了這個兩大部分一個是鼓勵資訊人才包括這個協助企業人才的佈局 |
transcript.whisperx[76].start |
3373.283 |
transcript.whisperx[76].end |
3391.719 |
transcript.whisperx[76].text |
我就根據你的企業人才布局有一點我不知道你們能克服光是你說要3、4、5到國際的點財、列財要參照新加坡、日本、韓國要盤點我們的居住租稅等光是台灣個人所得最高克40% |
transcript.whisperx[77].start |
3393.701 |
transcript.whisperx[77].end |
3401.868 |
transcript.whisperx[77].text |
然後你要獵財來你知道新加坡獵財來之後他們在60天以下來這邊的優秀人60天以下免稅60天到182天是課15%的個人所得稅如果你多於180天以上 |
transcript.whisperx[78].start |
3411.417 |
transcript.whisperx[78].end |
3414.802 |
transcript.whisperx[78].text |
6個月以上是淨所得課22%總收入課15%公司董事一律課22%我不知道您能不能去說服財政部光是你的列財你就列了三 |
transcript.whisperx[79].start |
3430.242 |
transcript.whisperx[79].end |
3434.704 |
transcript.whisperx[79].text |
2、3、4、5一個列才當中的3、4、5多大的拼譜5項有3項是講到這個東西好本席提點你那再來本席針對今天講到AI那我也認為國發會當則不讓我這邊針對幾個面向跟你一起討論包括台灣人工智慧的全球排名第二個產業結構第三個針對產業能做什麼以及垂直領域的專家才是成功成敗的關鍵 |
transcript.whisperx[80].start |
3455.355 |
transcript.whisperx[80].end |
3481.88 |
transcript.whisperx[80].text |
當然 跨部會的協作 國發會是當然當則不讓當然本席最後有具體的要求那在我覺得爬出了是一個在英國有這樣的一個雜誌這個Total is Media它針對全球AI的排名我們全球整體AI的指數我們排名26新加坡排名3韓國排名6那在政府投入的部分上面有兩張表 |
transcript.whisperx[81].start |
3483.62 |
transcript.whisperx[81].end |
3488.884 |
transcript.whisperx[81].text |
總排名的部分是左邊這張表那右邊有講到左邊這邊也講到政府的投入我們在2022年政府的投入是全球42名2023年我們是全球33名好再看右邊那張圖他所講的是我們在研究的部分我們全球排名36發展51規模38所以我要講的你會覺得落差很大 |
transcript.whisperx[82].start |
3506.394 |
transcript.whisperx[82].end |
3526.772 |
transcript.whisperx[82].text |
哇我們的這個所以我們的晶圓代工我們的伺服器全球排行數一數二再加上這個AI教父教母來了現在離台之後這麼的風光其實它證明了一件事情我們的基礎產業是好的但是你看我們全球AI的應用包括政府的投入是這麼的低好 |
transcript.whisperx[83].start |
3528.873 |
transcript.whisperx[83].end |
3532.835 |
transcript.whisperx[83].text |
所以本席認為在你們優勢產業當中已經投入這麼多資源了重點你們也講到AI應用在各行各業才是AI創造價值的核心關鍵好本席用這一張圖 |
transcript.whisperx[84].start |
3544.958 |
transcript.whisperx[84].end |
3564.032 |
transcript.whisperx[84].text |
這個你們現在有基礎層、中間層、應用層你們現在所有的資源都在右下方基礎層我們從最基層AI晶片運算晶圓的代工伺服器中間的雲端運算中心是我們現在各縣市都在爭取的在AI核心技術當中從基層、中層到最後的應用軟體的部分 |
transcript.whisperx[85].start |
3565.029 |
transcript.whisperx[85].end |
3580.943 |
transcript.whisperx[85].text |
好這才是應用好那另外還AI應用的價值鏈從下面的我們的預先訓練微調啦對於這個我們的晶片當中的所有的這個資料標注等啊以及我們現在你們也花很大規模的在生成式的AI模型但 |
transcript.whisperx[86].start |
3581.758 |
transcript.whisperx[86].end |
3602.267 |
transcript.whisperx[86].text |
我今天要有AI價值創造的核心關鍵就是在左上角的各行各業的應用所以你看你的資源配置你是放在最右下端的在晶片代工跟伺服器頂多現在是這個國際的投資在雲端資訊中心但是我們要做的是左上角這件事情那就要盤點你的預算 |
transcript.whisperx[87].start |
3604.648 |
transcript.whisperx[87].end |
3618.734 |
transcript.whisperx[87].text |
你的執行的科目有沒有符合這個東西有沒有符合呢好那個人工產業可以做什麼本席特別針對幾個領域在醫療、保健、金融服務、製造業、零售、電子、教育、農業在醫療的部分我有幾個案例速發部今天速發部的副署長副署長有來我之前就有一個陳情案那我就練給我就呢陳述給大家聽他是被駁回了來跟我哭訴說我們的速發部根本就不懂AI |
transcript.whisperx[88].start |
3634.8 |
transcript.whisperx[88].end |
3648.787 |
transcript.whisperx[88].text |
這是眼科眼體鏡進行視網膜神經及血管攝影結合了失智症的患者有發生原血管跟神經萎縮病的近症進行匹配也就是我單純的眼科醫生我只會做眼體鏡的視網膜的神經可是這個資料 |
transcript.whisperx[89].start |
3651.889 |
transcript.whisperx[89].end |
3657.914 |
transcript.whisperx[89].text |
其實在我們教學醫院榮總長跟已經有研究在醫院內有研究他其實這樣的數據分區是可以跟我私自站可以匹配在一塊這都有教學醫院的一個研究他希望來跟政府爭取經費說我能擴大到醫院外的人民來蒐集更大的這樣的一個數據來做AI的匹配結果被你們打回來後來我瞭解了結果原來你們審查委員是有眼科經由眼科專業根本沒有AI產業 |
transcript.whisperx[90].start |
3680.333 |
transcript.whisperx[90].end |
3693.625 |
transcript.whisperx[90].text |
也沒有這個老年失智的跨領域你知道這個早期預防可以減少大量的這個健保支出又可以造福多少個家庭光是這個失智症的文明病我光是做一個眼睛的檢查我就可以去跟早期發現我的這個文明病失智症他可以減緩可以提早預防減緩他的發病 |
transcript.whisperx[91].start |
3702.833 |
transcript.whisperx[91].end |
3717.959 |
transcript.whisperx[91].text |
好包括金融我們說詐騙今天我們都是政府叫被動啊我發現這個是不是我打電話到打詐中心啊我被動的接受人民的陳情啊但是如果我有AI導入的話我整個這個欺詐的檢測其實他只要導入的時候我的人民他不需要打了 |
transcript.whisperx[92].start |
3723.922 |
transcript.whisperx[92].end |
3753.124 |
transcript.whisperx[92].text |
只要他要再做他的行為的時候就已經政府的這個AI的模型已經套路了告訴你欸這個就是這就是告訴你喔政府告訴你你這是詐騙喔甚至本席一直主張的我們的農業智慧決策連農業決策能夠要都要智慧的精準農業講坦白的就是農業優生學我們的農業預測等好這個就是等本席就是提供給你在現在符合民意當中你AI的應用面包括你的預算為什麼你要 |
transcript.whisperx[93].start |
3753.604 |
transcript.whisperx[93].end |
3778.267 |
transcript.whisperx[93].text |
重新的檢視好 我們這個人工智慧啊它也不是萬能有優點缺點優點就是它能短時間內處理大量的數據提高工作效能 節省時間成本在作業精準度上是堪稱完美經過專家系統的定義過的作業可以全天候24小時準確的執行我的指定作業缺點是什麼AI它只是一個工具這句話是重點 |
transcript.whisperx[94].start |
3779.048 |
transcript.whisperx[94].end |
3797.914 |
transcript.whisperx[94].text |
AI只是個工具所以它缺乏創造力它的技術還沒有辦法具備人類的創造力跟想像力無法創造新的東西所以儘管AI可以通過大量的數據訓練來提升自身的智能水平但是還是需要相關專家明確的定義才行好 這句話的結果也就是 |
transcript.whisperx[95].start |
3798.434 |
transcript.whisperx[95].end |
3823.37 |
transcript.whisperx[95].text |
台灣人工智慧產業當中你們講到人才專家很可惜你們就講到法人及學研當中包括說你們要到外面獵財我也沒意見但是你光是突破那個租稅的部分就請你好好的跟財政部研究了好我在這邊具體主張你這個一定要有各行各業業界的實務專家導入你的專家人才庫這是本席的重點 |
transcript.whisperx[96].start |
3824.45 |
transcript.whisperx[96].end |
3846.688 |
transcript.whisperx[96].text |
主委就在你在籌組各部會今天來了好多各部會你們的專家一定要各產業的實務專家才有可能成為專家好那在這邊呢我這個也是上週我針對經濟部質詢的已經明確杜絕我們紅色供應鏈下我又要在怎麼的發展各製造業的AI升級的輔導杜絕紅色供應鏈 |
transcript.whisperx[97].start |
3849.49 |
transcript.whisperx[97].end |
3870.777 |
transcript.whisperx[97].text |
這也提醒給我們的這個主委跨部會的協作當國發會就當則不讓了本席我就以這個案例國家農業治理的一個智慧化我就以我的選區裡面的這個石斑魚我會舉這個案例是因為中國拒絕我石斑魚進口到中國的時候所以我就替我自己的產業 |
transcript.whisperx[98].start |
3871.937 |
transcript.whisperx[98].end |
3877.462 |
transcript.whisperx[98].text |
找了速發部他就是呢這個速發部協助下確實補助這個經費做了AI的相關的定序數據的收集所以這是這個速發部支持但是這個計畫是從哪裡來呢誰發想呢是我教育部是我一個科技大學的一個學者他的一個團隊所以他把他技術來找我的這個農民這是農業部應該輔導的 |
transcript.whisperx[99].start |
3900 |
transcript.whisperx[99].end |
3913.281 |
transcript.whisperx[99].text |
那但是呢跟經濟部有什麼關係因為呢我們不能輸到中國啦我們就走南向所以他就輸到東南亞那所以呢這又跨了農業部跨了書發部跟經濟部跟教育部所以你今天AI要完成當然是要跨部會 |
transcript.whisperx[100].start |
3915.904 |
transcript.whisperx[100].end |
3930.129 |
transcript.whisperx[100].text |
我的具體建議四點第一個盤點現行狀態第二個盤點各單位使用人工智慧的可行性第三個建立專家人才系統第四個加速普惠百工百業我舉兩張圖怎麼叫盤點現行的狀態這一張圖我辦公室這樣盤整出來了光是你們賓的這個AI2.0你在簡報上講的119億這個當中你就要去盤點 |
transcript.whisperx[101].start |
3944.733 |
transcript.whisperx[101].end |
3964.06 |
transcript.whisperx[101].text |
好 盤點什麼呢到底目前我有關智慧化應用的經費跟計畫狀況是否都適合導入人工智慧智慧化的應用並不代表所有的人工智慧但是你要專門在AI的這個工具上的應用你要在你智慧編了119億的這個2.0行動的2.0當中台灣AI行動2.0當中你就要去盤點了 |
transcript.whisperx[102].start |
3970.663 |
transcript.whisperx[102].end |
3989.442 |
transcript.whisperx[102].text |
好那第二個盤點各單位就針對政府部門你自己就要以身作則哪些是中央單位可以建立封閉式跟開放式的人工智慧剛才譬如說開放式就打炸就好了我的警政署你們可以協助警政署在開放他們的這個開放式的哪些是一個詐騙的相關的事先預測 |
transcript.whisperx[103].start |
3992.945 |
transcript.whisperx[103].end |
4001.807 |
transcript.whisperx[103].text |
這人民超有感的我不用再被動打電話給警察去不用打電話到打詐中心的他任何的行為我直接在金融系統當中他要會的時候我就告訴他了他或者他樣態的一個告知啊第三建立專栽人才庫本席在這邊重點是各產業領域涵蓋各產業的業界人才這我舉一個例子比如說我在補習班我這邊工作22年了 |
transcript.whisperx[104].start |
4017.031 |
transcript.whisperx[104].end |
4022.673 |
transcript.whisperx[104].text |
好 那你說要AI啊一定是這個補習班內的長期的資深員工譬如說我有一個資訊部門由我在這個補習班內的資深的資訊部門的人來受你的訓練啊而不是這樣才有可能成為專家如果你從外部他怎麼可能 |
transcript.whisperx[105].start |
4034.918 |
transcript.whisperx[105].end |
4049.046 |
transcript.whisperx[105].text |
他怎麼可能會是一個對補習班瞭解或者是對我這個螺絲工具區瞭解的人他來設計他的AI呢不可能吶包括我的高雄市當中的所有金屬扣件包括我們的離岸風電等等相關所有中小企業都遍佈整個我高雄市那你怎麼當然是從他們裡面的資訊部門去訓練所以你的國內人才的訓練是要從這邊來 |
transcript.whisperx[106].start |
4064.474 |
transcript.whisperx[106].end |
4080.266 |
transcript.whisperx[106].text |
好那當然我們普惠百工百業的部分與公共建設這個是你要公建的角度這是因為一個公建就是四年計畫所以針對國內產業中小企業的組成特性提供主題式的計畫補助人工智慧導入並採審查重觀審查和重演為什麼 |
transcript.whisperx[107].start |
4083.769 |
transcript.whisperx[107].end |
4091.435 |
transcript.whisperx[107].text |
因為中小企業有910萬的從業人口半導體29萬的人口如果你再繼續補助優勢產業半導體就29萬有感中小企業913萬人無感重點就在這邊好 您簡單回應一下 |
transcript.whisperx[108].start |
4100.1 |
transcript.whisperx[108].end |
4101.721 |
transcript.whisperx[108].text |
接下來我們請陳廷飛委員請做詢談 |
transcript.whisperx[109].start |
4134.327 |
transcript.whisperx[109].end |
4136.514 |
transcript.whisperx[109].text |
謝謝主席 教委我們請主委我們再請國發委主委 |
transcript.whisperx[110].start |
4145.27 |
transcript.whisperx[110].end |
4173.269 |
transcript.whisperx[110].text |
委員長主委我想我第一次也在這個地方我跟你談的就是AI的研發中心也就是黃仁勳執行長他一直希望就是說在台南在高雄有一個AI研發中心所以我們也希望說我們的國發會要怎麼樣去掌握這樣的訊息然後我們要怎麼去push然後把這樣的一個所謂AI的研發中心 |
transcript.whisperx[111].start |
4176.431 |
transcript.whisperx[111].end |
4202.484 |
transcript.whisperx[111].text |
我們也希望現在擴大變成生態園區這是我們現在政府所非常重要的一個指標叫生態園區可是這個生態園區我相信在台南的部分我們有很多包括綠能科技產業園區也就是在沙崙然後再加上我們的南科 |
transcript.whisperx[112].start |
4203.544 |
transcript.whisperx[112].end |
4229.618 |
transcript.whisperx[112].text |
那再加上我們目前所有的一些電一些水利的部分在整個的條件當中我們認為在台南是非常適當的那可是我們的AI生態園區到底我們現在我們的目標在哪裡重點在哪裡預算在哪裡速發部一下子說要實體一下子說可以虛擬 |
transcript.whisperx[113].start |
4230.919 |
transcript.whisperx[113].end |
4245.948 |
transcript.whisperx[113].text |
然後呢國科會說他們都可以配合因為他們本來在南科園區就有這樣的一個所謂相關AI的產業他們沒有問題那國發會呢你們的態度是如何你們的態度是如何 |
transcript.whisperx[114].start |
4249.312 |
transcript.whisperx[114].end |
4277.682 |
transcript.whisperx[114].text |
我們的態度現在是積極的跟數發部跟國科會我們一起在合作那台南的部分的確像委員講的我想委員我很佩服您一直在爭取台南然後也一直在把台南的優勢不斷的讓我們清楚所以我們現在感受的也很深那我們會去在最後評估我們現在在評估階段我們一定不會忘記委員特別一直跟我們銷售的台南的好處我們會認真的來考慮這一點 |
transcript.whisperx[115].start |
4278.513 |
transcript.whisperx[115].end |
4301.712 |
transcript.whisperx[115].text |
因為現在整個護國神山的所有它的機能還有它所有的零星產業基本上都落腳在台南而且我們有我們的腹地所以如果在這樣的一個前提之下我覺得我們的態度要更確認說到底AI的生態園區它是要實體還是虛擬 |
transcript.whisperx[116].start |
4304.946 |
transcript.whisperx[116].end |
4331.565 |
transcript.whisperx[116].text |
實體跟虛擬不一樣我們現在是這樣子實體跟虛擬都會同時存在的原因是在AI的世界裡面它必須串聯全世界所以我們除了會建立實體的中心之外我們也會我想數位發展部也在積極的建立一個國際的脈絡的聯網包括讓沒辦法進入園區的一些單位也都可以參與進來變成一個整合性的一個虛實整合的一個AI生態園區 |
transcript.whisperx[117].start |
4332.446 |
transcript.whisperx[117].end |
4343.355 |
transcript.whisperx[117].text |
那土地重要嗎?土地重要就是有私底的地方可以做更好的討論那所以這兩者會同時並行土地重要經費呢?那經費來源呢? |
transcript.whisperx[118].start |
4348.176 |
transcript.whisperx[118].end |
4365.369 |
transcript.whisperx[118].text |
經費來源是第一個國發基金我們現在正在作業中如果得到核准的話我們會有100億投到這個領域來所以我們現在預估在AI生態園區在實體的部分我們預計要投入的是國發基金100億的預算 |
transcript.whisperx[119].start |
4366.97 |
transcript.whisperx[119].end |
4385.744 |
transcript.whisperx[119].text |
而且100億主要是在投資創新創業就是進駐廠商還有在虛擬進駐廠商的投資那硬體的部分其實現在因為公建預算正在審核當中那我們也請各單位盡快的提出來進入我們的審核程序 |
transcript.whisperx[120].start |
4386.334 |
transcript.whisperx[120].end |
4408.972 |
transcript.whisperx[120].text |
所以主委你的意思是說國發基金這100億我們是希望創新創業進入到這樣的一個實體的生態園區然後在其他各部會的我們還會再去另外編列相關的預算然後進入到這個AI的方向是不是所以不只100億 |
transcript.whisperx[121].start |
4409.873 |
transcript.whisperx[121].end |
4435.379 |
transcript.whisperx[121].text |
不只,它這個工件預算是另計那現在在等實體,我們是審核單位所以我們有幾個單位在規劃上面從國科會跟數發部他們會送上這樣的一個工件計畫那在於實體的所以國科會是負責實體然後數發部是負責虛擬,是這樣意思嗎?沒有,他們都有,都會有實體的運作 |
transcript.whisperx[122].start |
4436.539 |
transcript.whisperx[122].end |
4447.887 |
transcript.whisperx[122].text |
都有實體的運作那你要了解速發部的速發部最近他所講的並不是如此他所講的是他要把實體變虛擬也許是不是可以讓速發部次長來說明 |
transcript.whisperx[123].start |
4454.997 |
transcript.whisperx[123].end |
4467.982 |
transcript.whisperx[123].text |
到底你們現在的態度是什麼如果以主委所說的我們是實體然後跟虛擬同步並進可是你們最近在媒體當中所講的是被誤解說實體要變虛擬你們負責的是虛擬 |
transcript.whisperx[124].start |
4472.364 |
transcript.whisperx[124].end |
4478.59 |
transcript.whisperx[124].text |
是跟委員報告因為在政府的分工上面國發會這邊會負責包含台灣的硬體產業跟軟體產業而我們數發部負責的是軟體產業然後軟體產業一個特性所以你們數發部負責的就是在虛擬的部分嗎是實體用嗎 |
transcript.whisperx[125].start |
4490.881 |
transcript.whisperx[125].end |
4510.854 |
transcript.whisperx[125].text |
實體的部分因為我們現在重點是在於生態而不在於園區那軟體產業的特性是第一個就是上下游產業之間並沒有零組件的運輸的需求所以上下游的這些產業並不需要在同一個地方再來就是說在軟體產業現在遠距上班也都是一件常見的現象所以我們這個 |
transcript.whisperx[126].start |
4511.775 |
transcript.whisperx[126].end |
4530.929 |
transcript.whisperx[126].text |
所以市長你的意思就是說是你們數發部負責就是虛擬的部分是所以沒有實體的部分是對不對好那主委所以就有一點不一樣囉所以我們現在看到的確實是如此嘛數發部從實體變虛擬好那現在實體聚落的部分實體生態園區到底是誰在負責國科會嗎國科會也講的有一點保守欸他說我們的 |
transcript.whisperx[127].start |
4542.939 |
transcript.whisperx[127].end |
4563.139 |
transcript.whisperx[127].text |
這個產業園區我們都可以配合他們是就他們目前目前的狀態那我們如果依照主委所講的我們是要做到我們是要做到我們除了國發基金以外我們還有公建計劃這是沒工的所以我們的方向到底怎麼拿捏來 國科會 |
transcript.whisperx[128].start |
4568.692 |
transcript.whisperx[128].end |
4570.076 |
transcript.whisperx[128].text |
實體的部分你們負責的嗎?跟委員報告基本上我們還是會以沙輪 |
transcript.whisperx[129].start |
4576.109 |
transcript.whisperx[129].end |
4577.91 |
transcript.whisperx[129].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 |
transcript.whisperx[130].start |
4600.522 |
transcript.whisperx[130].end |
4615.21 |
transcript.whisperx[130].text |
南部擴散目前都還在規劃中因為沙崙它有中央研究院南部院區然後又有你們國科會相關的一些所謂研發的地點 |
transcript.whisperx[131].start |
4616.431 |
transcript.whisperx[131].end |
4643.019 |
transcript.whisperx[131].text |
所以我們看到的是綠能科技產業園區在沙崙我們把它這一塊土地放在這裡是很可惜的還有成大我們的相關還有交通大學這些研發的能量都在裡面但是並沒有發揮啊所以我為什麼說要爭取AI的生態園區在台南當然就是在我們的沙崙這個區塊嘛從過去到現在我們看到的是能量沒有發揮嘛 |
transcript.whisperx[132].start |
4644.139 |
transcript.whisperx[132].end |
4660.757 |
transcript.whisperx[132].text |
那如果是這樣子的話我們再加上有些隱形產業我們必須是實體跟虛擬要並進嘛是不是一個負責實體一個負責虛擬嘛這樣才對嘛然後國發會是know-how嘛他做串聯嘛 |
transcript.whisperx[133].start |
4661.778 |
transcript.whisperx[133].end |
4677.661 |
transcript.whisperx[133].text |
是不是這樣子所以我們期待的AI生態園區除了有像黃仁勳執行長所說的他必須是AI的研發中心他可以併進來嘛對不對他可以把1加1大於2嘛 |
transcript.whisperx[134].start |
4678.562 |
transcript.whisperx[134].end |
4696.613 |
transcript.whisperx[134].text |
如果我們有這樣的一個生態園區他在投注他們的一些原本預期的計劃跟目標對我們來講是加分了所以我覺得說AI生態園區在整個地理位置經費當中最適合的就是台南就在沙崙 |
transcript.whisperx[135].start |
4697.874 |
transcript.whisperx[135].end |
4715.064 |
transcript.whisperx[135].text |
這非常的清楚主委謝謝委員我會負責來整合兩個部會的結果然後再跟你們報告再拜託那還有一個部分您的誠意我們是一直感受很深對因為我覺得我們臺南現缺的就是一個整合 |
transcript.whisperx[136].start |
4716.144 |
transcript.whisperx[136].end |
4738.898 |
transcript.whisperx[136].text |
如果把它整合起來我們的能量是無限大我們有那個條件但是缺了一個整合那我相信今天有一點我覺得還是要澄清清楚我們請這個經濟部長就是說外媒說台灣缺電會衝擊全球的產業基本上我覺得今天起碼台灣的能量 |
transcript.whisperx[137].start |
4739.838 |
transcript.whisperx[137].end |
4762.172 |
transcript.whisperx[137].text |
我們的經濟能量、企業能量是被外媒所看到的這個對我們來講是好的可是因為被看到大家會擔心我們是不是會有缺電的問題部長我們應該準備好了尤其我們現在投注AIAI的用電非常的大那這個部分呢我們準備好了沒報告委員準備好了 |
transcript.whisperx[138].start |
4762.512 |
transcript.whisperx[138].end |
4789.489 |
transcript.whisperx[138].text |
準備好了所以我們不會像外媒所講的會因為有這個缺電而影響到我們整個全球產業因為大家已經把台灣變成是一個全球產業包括半導體的一個指標囉這對我們來講其實是一個非常棒的可是他們擔心我們要把他擔心把他斷絕台灣電的部分沒有問題 |
transcript.whisperx[139].start |
4790.47 |
transcript.whisperx[139].end |
4812.448 |
transcript.whisperx[139].text |
是不是這樣?是的,缺電影響全球是事實但是我們沒有缺電我們沒有缺電,我們準備好了對不對?我們在準備,應該是好的好,我想AI產業如果進到我們在整個整合的體系當中電、水,它永遠都是最重要再麻煩部長,謝謝好,謝謝接下來我們請邱毅文委員請做詢答 |
transcript.whisperx[140].start |
4834.554 |
transcript.whisperx[140].end |
4857.951 |
transcript.whisperx[140].text |
謝謝昭緯我現在是不是請一下經濟部跟教育部好了好 郭部長跟教育部正次好 這個來 部長好 郭部長這個我想從您上個禮拜來做業務報告裡頭您有談到 |
transcript.whisperx[141].start |
4861.166 |
transcript.whisperx[141].end |
4874.523 |
transcript.whisperx[141].text |
4年之內要培育20萬個AI人才所以台灣大概是全世界少數搭上這個第一波的AI浪潮的國家但我們其實看得到 |
transcript.whisperx[142].start |
4875.785 |
transcript.whisperx[142].end |
4897.819 |
transcript.whisperx[142].text |
就實際面來說台灣在所謂的半導體的先進製程在AI伺服器的這個製造其實我們是有優勢但是在AI相關的IC設計或生成式AI應用服務的這些人才上面其實台灣的優勢是不大的您同意我的看法嗎同意 |
transcript.whisperx[143].start |
4899.912 |
transcript.whisperx[143].end |
4920.644 |
transcript.whisperx[143].text |
如果是這樣我們今天要來談這個未來搭上這一波AI浪潮之後首先要談的是要培育20萬名AI人才請問一下部長這20萬名AI人才是全部是自己培育嗎還是你有包括一部分是從國外攬才進來的 |
transcript.whisperx[144].start |
4922.535 |
transcript.whisperx[144].end |
4946.789 |
transcript.whisperx[144].text |
我們大概在這個LM的部分必須要從國外攬產所以我有請來台灣投資的這些比較大的國外廠商我都告訴他們你最少要帶一半的人才進來所以像這個輝達它要有1000位工程師所以我們就強烈的要求它要有帶500位工程師進來可是輝達現在大概只能帶10%的人進來 |
transcript.whisperx[145].start |
4949.672 |
transcript.whisperx[145].end |
4958.912 |
transcript.whisperx[145].text |
那個是過去我後來有跟他們在溝通如果未來是這樣那經濟部就不是培育20萬名AI人才 |
transcript.whisperx[146].start |
4960.789 |
transcript.whisperx[146].end |
4982.94 |
transcript.whisperx[146].text |
應該是培育加攬財對不對因為我為什麼會請教育部上來是今天很可惜沒有辦法聽到教育部的這個報告但是我看了一下教育部的書面你們所有的AI教育這一些數位的教育通常都是從高等教育才開始做起包括你的在職專班包括你的碩博士班等等 |
transcript.whisperx[147].start |
4983.92 |
transcript.whisperx[147].end |
5003.3 |
transcript.whisperx[147].text |
比如說你110年開始透過國家重點領域產學合作培育人才創新條例要招攬972名碩士博士生就我看了你們這個所謂的招攬名額要達到20萬名四年內根本做不到那請問教育部有什麼方式嗎 |
transcript.whisperx[148].start |
5005.575 |
transcript.whisperx[148].end |
5020.514 |
transcript.whisperx[148].text |
我看到韓國韓國他們現在是要從國民教育裡頭去推廣AI數位教育2025年開始韓國就會在中小學導入AI數位教科書那請問台灣呢 |
transcript.whisperx[149].start |
5022.536 |
transcript.whisperx[149].end |
5046.158 |
transcript.whisperx[149].text |
市長跟委員報告我想我們在AI人才培育這一塊我們過去一個非常重要的就是我們透過國家重點領域產學合作及人才培育創新條例我們有重點科技學院這重點科技學院十三家裡面有其中五家是跟人工智慧有關的我們每年在這裡面我們大概有 |
transcript.whisperx[150].start |
5046.778 |
transcript.whisperx[150].end |
5059.006 |
transcript.whisperx[150].text |
培養大概972位教授博士對嘛你一年才培養900多名嘛那要達到部長講的20萬名那個差距是很大的還沒講嗎還沒講剛才講是說博士那我們大學部這一邊的話因為我們有這個每年我們這個有這個大專院校 |
transcript.whisperx[151].start |
5067.552 |
transcript.whisperx[151].end |
5069.794 |
transcript.whisperx[151].text |
智慧科技及資訊安全碩士人才計畫 |
transcript.whisperx[152].start |
5098.013 |
transcript.whisperx[152].end |
5118.631 |
transcript.whisperx[152].text |
跟委員報告我們在這個教育部現在在研擬這個數位教學指引這個預計在10月會出來那這個指引其實蠻全面包括說我們會告訴校長如果像一些跟不管跟數位跟AI的導入要怎麼做然後老師還有家長10月會出來數位教學指引那預計什麼時候會開始實施其實它出來以後 |
transcript.whisperx[153].start |
5121.129 |
transcript.whisperx[153].end |
5148.354 |
transcript.whisperx[153].text |
下個學期就開始了下個學期就會開始實施所以這個是一個非常重大的教育的改變我覺得教育部應該是要好好的規劃然後要好好的宣導我們有這個所謂的生生用平板的這樣的一個很好的政策所以你們在推廣所謂的AI數位教科書的這個課綱其實對他們來講應該是要更快上手所以我期待如果是有一個這麼好的政策的話教育部應該是要好好的 |
transcript.whisperx[154].start |
5149.174 |
transcript.whisperx[154].end |
5149.194 |
transcript.whisperx[154].text |
來作規劃 |
transcript.whisperx[155].start |
5165.53 |
transcript.whisperx[155].end |
5190.12 |
transcript.whisperx[155].text |
我們自己中央廚房設計出這樣的課線上課程再搭配各個高中的種子學老師那來推這個也是我們未來會努力的目標我覺得就是說創造台灣的整體AI環境不會是只有國發會也不會是只有經濟部我覺得教育部我們在整個的教育體系裡頭共同去努力創造這個是很重要的一件事來那個教育部次長那您請回 |
transcript.whisperx[156].start |
5191.4 |
transcript.whisperx[156].end |
5194.766 |
transcript.whisperx[156].text |
那那個郭部長你也可以請回我請一下國發會請問一下國發會 |
transcript.whisperx[157].start |
5203.218 |
transcript.whisperx[157].end |
5230.694 |
transcript.whisperx[157].text |
來 劉主委您剛剛在那個報告的時候其實你有特別談到未來導入AI包括我們的流財、纜財等等你要用企業的方法所以剛剛其實也有委員問到我們的流財、纜財政策裡頭其實對於您在海外纜財的這一些誘因技術人員的誘因其實是不太夠的 |
transcript.whisperx[158].start |
5231.794 |
transcript.whisperx[158].end |
5248.671 |
transcript.whisperx[158].text |
包括稅責包括他們的居留等等您覺得正在國家發展的角度上面台灣有沒有必要檢討我們現行的所謂的移民政策如何讓您這些企業方法的這些攬財的條件 |
transcript.whisperx[159].start |
5251.373 |
transcript.whisperx[159].end |
5279.025 |
transcript.whisperx[159].text |
讓它更人性化或者是說讓它更具備誘因比如說剛剛講的人才來到這裡之後他的課稅問題他的居留問題子女的教育問題這個過去我們在攬財專案的法規討論上面其實都討論了很多但是對於這些海外的人不管他是華人也好不管是台裔也好或者是他是外國籍的人也好他要到台灣來 |
transcript.whisperx[160].start |
5280.646 |
transcript.whisperx[160].end |
5297.274 |
transcript.whisperx[160].text |
右鷹其實不太夠就是跟台灣的整個移民政策是有相關的就國發會的立場您覺得台灣的移民政策是不是需要檢討或者是在我們要攬AI人才的這個區塊上面我們是不是應該要有一些更大幅的開放 |
transcript.whisperx[161].start |
5298.331 |
transcript.whisperx[161].end |
5321.242 |
transcript.whisperx[161].text |
是的我們目前看起來是需要檢討才會具備國際的競爭力要更加的開放也才有機會去吸引人才好那這樣子國發會有沒有就這個部分跟其他的各部會比如說移民署、內政部或者是說你們有沒有做一個總體的規劃總體檢你們先要提AI的基本法經濟部要培育 |
transcript.whisperx[162].start |
5322.603 |
transcript.whisperx[162].end |
5332.595 |
transcript.whisperx[162].text |
20萬的AI人才要從國外攬財進來你說輝達進來投資他必須帶一半以上的人是從海外進來的那海外進來的這一些人要怎麼樣留在台灣 |
transcript.whisperx[163].start |
5334.932 |
transcript.whisperx[163].end |
5360.783 |
transcript.whisperx[163].text |
他要符合台灣的什麼樣的法令你要怎麼樣把這些人讓他有足夠的誘因留在這這個其實是都需要你們有一個跨部會的檢討我其實不太喜歡你們每次都講說什麼東西就會變成第二座護國神山現在你們已經有把AI捧得很高又說AI是第二座護國神山你真的要當護國神山的時候其實你是必須要各部會 |
transcript.whisperx[164].start |
5362.103 |
transcript.whisperx[164].end |
5380.055 |
transcript.whisperx[164].text |
所有相關的法令配套都必須要完整人才的獲得這個劣材都其實都是需要一個完整的配套但我現在看不出來你們所謂完整的配套上面比如說AI生態園區到底它是實體還是虛擬 |
transcript.whisperx[165].start |
5382.657 |
transcript.whisperx[165].end |
5408.573 |
transcript.whisperx[165].text |
你們都講不清楚啦國發會跟事務發布的態度意見根本就完全講不清楚啊然後包括你們跟經濟部的配合包括跟教育部的配合甚至跟財務財政部的配合這個其實是需要花很長的時間去討論而不是你自己今天一個國發會隨便就丟一個東西出來就我不知道 |
transcript.whisperx[166].start |
5409.741 |
transcript.whisperx[166].end |
5435.088 |
transcript.whisperx[166].text |
你們在行政院裡面到底有沒有就這一塊去做過討論我們現在就初步的意見是有溝通過但是細部的部分我們其實已經在整理我們現在整理了六個國家的優缺點因為我們要定位我們的競爭定位在哪裡那也跟委員報告不只是剛才講的稅包括這些人進來他的小孩的教育等等其實我們都會整體規劃以後然後去溝通各部會 |
transcript.whisperx[167].start |
5435.984 |
transcript.whisperx[167].end |
5457.855 |
transcript.whisperx[167].text |
好 這個主委我覺得這個動作可能要快啦這個如果說你們要把AI變成第二座護國神山的話相關的所有的法令配套各部會的配合各部會的推動遇到有致愛難行的地方我覺得大家都應該要趕快把這個問題都丟出來然後來集思廣益趕快來解決你才有辦法來 |
transcript.whisperx[168].start |
5459.036 |
transcript.whisperx[168].end |
5477.543 |
transcript.whisperx[168].text |
很快速的把台灣變成是一個AI島那甚至說你現在要做的這些AI的產業不只是中小企業產業要有AI化我們的醫療、農業是不是都能夠運用這樣的一個AI技術把它全面的推廣出去那你講到農業講到醫療 |
transcript.whisperx[169].start |
5479.824 |
transcript.whisperx[169].end |
5496.948 |
transcript.whisperx[169].text |
你要牽扯到的又會到農業部、衛福部所以其實它整個就是一個大行政院、大政府的架構去推動這個所謂的AI產業這個其實千頭萬緒但是我們期待跟你們一起努力好不好好 謝謝委員接下來我們請呂玉玲委員請做詢答 |
transcript.whisperx[170].start |
5511.863 |
transcript.whisperx[170].end |
5513.207 |
transcript.whisperx[170].text |
謝謝召委 請郭部長我們請郭部長 |
transcript.whisperx[171].start |
5520.933 |
transcript.whisperx[171].end |
5541.591 |
transcript.whisperx[171].text |
部長好委員好部長在近期來輝達的旋風席捲全台那尤其是輝達的執行長黃仁勳他也特別表示說台灣AI跟我們的半導體產業是非常重要的國家未來會在台灣會設立第二的研發中心跟總部這可見得台灣 |
transcript.whisperx[172].start |
5542.572 |
transcript.whisperx[172].end |
5563.881 |
transcript.whisperx[172].text |
在全球的科技產業鏈通通會來台灣來投資但是黃仁勳臨走的時候特別擔憂也警示我們說臺灣電力整個配電的要充足產業才能來投資才不會影響到全球的發展整個AI的發展可是早上我們看到一個新聞就是美國智庫 |
transcript.whisperx[173].start |
5564.901 |
transcript.whisperx[173].end |
5592.184 |
transcript.whisperx[173].text |
美國智庫說臺灣的電力短缺部長早上的報告裡面也說臺灣的電力是不會缺電的那這樣子的話那是表示美國智庫在造謠那你要不要抗議報告委員我想美國智庫他只是他的那個新聞的這個說明他是說如果臺灣電力短缺會造成世界經濟的影響並沒有說臺灣這個電力他指明是臺灣電力短缺喔 |
transcript.whisperx[174].start |
5594.145 |
transcript.whisperx[174].end |
5608.695 |
transcript.whisperx[174].text |
他只是假設性的假設性的那所以你對於我們台灣電力是有信心我們不缺電是的那那跳電停電都是動物惹的禍目前來講的話這個妥善率其實是有一些不足 |
transcript.whisperx[175].start |
5609.349 |
transcript.whisperx[175].end |
5628.257 |
transcript.whisperx[175].text |
因為AI產業的話你要拿到全球的訂單必須要是綠電那你2026年的話要達到20%的再生能源的綠電2030年要達到30%你一直說有信心除了用光電除了還有我們的離岸風電外你還有什麼方式可以達成你的信心呢 |
transcript.whisperx[176].start |
5628.917 |
transcript.whisperx[176].end |
5646.883 |
transcript.whisperx[176].text |
我們現在朝著這兩個方面在努力跟委員報告說現在我們有一些新的科技進來包括地熱、包括氫能這些都是我們在考慮的部分是,好,部長本席會這麼講的原因就是因為我們再生能源的話離岸風電我們目前採取示範獎勵跟我們的 |
transcript.whisperx[177].start |
5651.084 |
transcript.whisperx[177].end |
5657.929 |
transcript.whisperx[177].text |
展覽廠子及區塊開發已經進入第三階段第二期選廠商在6月底前都要把這個廠商給選出來那能不能完成為什麼這樣子問因為你第一期的區塊開發就已經延期了都已經delay了在2026年跟2027年你的併電 |
transcript.whisperx[178].start |
5678.484 |
transcript.whisperx[178].end |
5690.52 |
transcript.whisperx[178].text |
並往發電你要做到那現在你連選商都還沒有完成的話那會不會等第二期也會無限的延期下去就不到你的這個離岸風電不能完成了 |
transcript.whisperx[179].start |
5691.645 |
transcript.whisperx[179].end |
5707.915 |
transcript.whisperx[179].text |
在之前會有點延遲主要是因為這個世界上面的環境的影響那這個歐洲它也一直在朝這個風力在這邊發電所以它有一些這個船的問題沒有辦法來到我們這個 |
transcript.whisperx[180].start |
5709.777 |
transcript.whisperx[180].end |
5734.136 |
transcript.whisperx[180].text |
因為你第一期延期成本就提高了第二期的話你如果再延期的話成本又會提高你要怎麼提升這樣產業能夠繼續的來台灣開發你的電力是要非常非常的充足他們才能夠成本穩定才會有競爭力 是不是是 讓這個廠商有競爭力我們會把這個電價的部分做充分的考量 |
transcript.whisperx[181].start |
5735.336 |
transcript.whisperx[181].end |
5736.877 |
transcript.whisperx[181].text |
因為你規劃說2030年我們整個離岸風電它的這整個總發電量要達到13.1GW能不能完成 |
transcript.whisperx[182].start |
5749.127 |
transcript.whisperx[182].end |
5777.745 |
transcript.whisperx[182].text |
我想以目前的這個進度我會督促我們的這個團隊照表就先把這個計畫13.6G的這樣的一個目標訂出來然後我們逐年逐月去檢討然後過去為什麼會慢把這個慢的因素拿掉然後這個全力去衝刺是你要全力衝刺我希望你能如期並往發電好不好是再來部長請教一下 |
transcript.whisperx[183].start |
5779.567 |
transcript.whisperx[183].end |
5796.219 |
transcript.whisperx[183].text |
經濟部撤銷了桃園市市府終止三家SRF入住桃科的處分請問部長是你拍板決定的嗎?這個不是我拍板決定 這個是有一個審議委員會有11位專家學者然後他們開會決定的 |
transcript.whisperx[184].start |
5803.257 |
transcript.whisperx[184].end |
5830.729 |
transcript.whisperx[184].text |
部長 在你們中央一直說尊重地方地方有自主的裁決權 是不是那所以地方做出了決定要終止它入園那你們到了接受這個這個溯源的時候你們又廢止了我們這個處分那這樣子的話你有尊重到地方嗎你在決定這些事情之前有沒有跟我們地方去溝通的 |
transcript.whisperx[185].start |
5832.096 |
transcript.whisperx[185].end |
5851.518 |
transcript.whisperx[185].text |
我們是從法律面去看的這件事情因為那個入園許可是地方政府的是地方政府的地方政府決定了嘛終止他入園啦要考量民眾大家對空屋的影響會讓大家的健康堪慮所以終止了所以你就要尊重地方啊 |
transcript.whisperx[186].start |
5852.506 |
transcript.whisperx[186].end |
5861.58 |
transcript.whisperx[186].text |
你為什麼要懷財執照?一定要這樣做呢?不是,我們沒有這個決定權那地方政府決定了嘛 |
transcript.whisperx[187].start |
5862.995 |
transcript.whisperx[187].end |
5888.805 |
transcript.whisperx[187].text |
所以當時部長你來我辦公室的時候我跟你說明了很清楚所以我相信你這件事情你應該是很了解的在當時的王前部長的時候專案會議專案許可要讓他進來就是推薦函結果我們地方反彈的時候他說這個只是表述而已沒有法律效益收回兩度收回11月去年的11月12月兩度收回這個推薦函 |
transcript.whisperx[188].start |
5889.665 |
transcript.whisperx[188].end |
5917.744 |
transcript.whisperx[188].text |
那所以說你們又一直表示說尊重地方政府那地方政府做出了決定你又撤銷了他的處分我沒有撤銷他的處分啊你現在撤銷啊要繼續要他進來啊正來書院然後這個是書院會我們召集專家、學者就他的這個內容來做出這個這樣的一個決定這裡面11位的委員有9位是大學教授跟這個法學專家所以他們一致做出這個決定不是我 |
transcript.whisperx[189].start |
5919.685 |
transcript.whisperx[189].end |
5930.963 |
transcript.whisperx[189].text |
所以這個決定權不在地方政府了嗎?中央說尊重地方,地方做了決定,中央又撤銷了這個處分啊所以我們是讓這個書院委員會來做決定,不是我們經濟部做決定 |
transcript.whisperx[190].start |
5932.95 |
transcript.whisperx[190].end |
5949.535 |
transcript.whisperx[190].text |
部長我們希望我們的政府既然尊重地方就要看到地方的民意地方重視他們的健康你們就不要當作沒看到不顧民意不顧民眾的健康到時候我們會努力的來跟你們抗爭因為 |
transcript.whisperx[191].start |
5950.695 |
transcript.whisperx[191].end |
5972.675 |
transcript.whisperx[191].text |
你知道嗎?這觀音、陶科三家這個是固體的發電廠這發電廠的廢棄有多大?你應該都知道吧?那你們呢?你們的那個環境部環境部你自己不去修法這個是標準排廢量的標準你不去修法認為很困難結果你就大開後門然後大開綠燈讓他們進來 |
transcript.whisperx[192].start |
5975.339 |
transcript.whisperx[192].end |
5999.719 |
transcript.whisperx[192].text |
每一次都在專案的我們桃園去年就已經反對了在陣前市長的時候就已經反對了你們用專案要他入園那結果後來又說選舉期限到了要尊重地方你們自己決定沒有法律效益那地方做出決定之後你們又說專家委員大家決定的要撤銷你的處分都跟你們沒關係甩鍋給地方嗎 |
transcript.whisperx[193].start |
6001.823 |
transcript.whisperx[193].end |
6024.809 |
transcript.whisperx[193].text |
我們經濟部本來就不是這個對這個工業區有主管的權利這委員會經濟部你們的專案會議部長王美花部長就開了專案會議你們能源局的給他們這個同意這個設備的這個文件這都是你們這整個發下來的不是跟經濟部沒有關係啊報告委員現在這個問題已經是實際上是存在的 |
transcript.whisperx[194].start |
6028.61 |
transcript.whisperx[194].end |
6043.621 |
transcript.whisperx[194].text |
我現在跟這個台灣市政府我們也都在協商如何處理這個問題那麼現在環境部他有提出他的態度就是說入園許可必須用歐盟的標準那你不修法啊 |
transcript.whisperx[195].start |
6044.661 |
transcript.whisperx[195].end |
6066.018 |
transcript.whisperx[195].text |
我們就去修法我們要討論這個事情那你的修法我們會依法去嚴格審查它的標準多少面積有多少的排放就是固定的啊是不是所以在製之前你們就要尊重地方我們是尊重地方才會進行你說地方是決定權在於地方啊是不是 |
transcript.whisperx[196].start |
6067.392 |
transcript.whisperx[196].end |
6088.686 |
transcript.whisperx[196].text |
所以現在台灣市政府他現在要求我們要給一個國際的定位跟管理的辦法所以我們現在提出一個新的這個定位在你們還沒決定下來我不曉得這個一再的被撤回一再的禁止入園一而再再而再從前朝的經濟部到現在的經濟部不曉得後面有什麼龐大的這個勢力還是有什麼利益你們一定要幫他們開別墾一定要讓他們進來報告委員這個是完全沒有的事情 |
transcript.whisperx[197].start |
6097.793 |
transcript.whisperx[197].end |
6116.392 |
transcript.whisperx[197].text |
我們現在就是說我必須要說我們共同都有討論到台灣電力是要穩定供電不管我們整個產業AI或者是半導體等等我們要穩定供電所以我們還想說現在電力真的是不足連國際連美國智庫都這麼說了所以我們要努力尤其是綠電的問題那但是部長 |
transcript.whisperx[198].start |
6120.144 |
transcript.whisperx[198].end |
6139.331 |
transcript.whisperx[198].text |
當時我們討論的時候我們必須要讓電力穩定必須要把核能列入考量做機載的用電才能夠穩定結果你現在被民進黨的高層校正回饋一下你就回來就爽說非核加鹽還是最終的目標 |
transcript.whisperx[199].start |
6141.443 |
transcript.whisperx[199].end |
6166.541 |
transcript.whisperx[199].text |
這個是依法啦依法可是電力不穩定的話我們台灣怎麼發展我們的AI怎麼發展全球的產業鏈都怎麼來投資呢這個我們會努力因為現在發電的方法還是有很多不要因為沒有辦法拿到綠電就要我們桃科、觀音三個廢棄物的發電廠在我們這邊危害我們鄉親的健康 |
transcript.whisperx[200].start |
6167.438 |
transcript.whisperx[200].end |
6173.466 |
transcript.whisperx[200].text |
部長請你們要尊重民意也尊重我們地方政府好不好是好 謝謝接下來我們請張祺凱委員請做巡討 |
transcript.whisperx[201].start |
6197.402 |
transcript.whisperx[201].end |
6203.208 |
transcript.whisperx[201].text |
謝謝主席請主委及部長好我們請主委跟郭部長兩位請 |
transcript.whisperx[202].start |
6214.952 |
transcript.whisperx[202].end |
6230.668 |
transcript.whisperx[202].text |
主要的補充是內閣的新亮點 大家對你們算是肯定啦 很多的期許不過現在看起來好像被那個電擋住了 對不對我們先看一下你們的老朋友 黃承信讓他講來記者問他說 你會煩惱台灣欠點嗎 你的朋友黃承信讓他講 他說 台灣需要比較多的點 |
transcript.whisperx[203].start |
6237.878 |
transcript.whisperx[203].end |
6261.035 |
transcript.whisperx[203].text |
那未來幾年如果擴大對台灣投資呢?黃宁勳說電力限制當然是個挑戰是個挑戰所以對兩位是很大的挑戰其實有欠電沒欠電啦不是用嘴巴講他應該是科學問題嘛對不對至少兩個事情要做到嘛第一個你們任內不能大停電不能大停電第二個你要推AI、半導體 |
transcript.whisperx[204].start |
6263.313 |
transcript.whisperx[204].end |
6277.814 |
transcript.whisperx[204].text |
產業要跟你講它便利是過的你求防人心你待會看就淡淡嘛這次是你要解決的問題了好來我直接問部長一個比較這幾天大家都在忙你的問題啦你看一下齁有人說你對核電的態度是不是因為一變再變 |
transcript.whisperx[205].start |
6279.315 |
transcript.whisperx[205].end |
6302.631 |
transcript.whisperx[205].text |
你壓力太大嗎?你變了嗎?我練給你聽,你先看,看下螢幕你四月十六,準部長郭志輝說核電廠要不要研議啊?取決於前面評估五月十五你說核電、核能是乾淨的能源核電部分是由多數人同意來做決定,最重要是六月七個一個禮拜前你就站在這邊嘛,對不對?那時候我問你喔,你怎麼說? |
transcript.whisperx[206].start |
6305.753 |
transcript.whisperx[206].end |
6318.048 |
transcript.whisperx[206].text |
我們會考慮條件是要安全如果安全無疑法令的許可就要做更重要是下面那句話如果修法安全都通過了合二合三可以用20年到30年 |
transcript.whisperx[207].start |
6321.038 |
transcript.whisperx[207].end |
6339.657 |
transcript.whisperx[207].text |
那最大轉變其實就是6月6號那天嘛 對不對?周院長叫你應該諸位也有在嘛 那天都有在嘛 對不對?周院長那天 宴請了民進黨立委那天 被震撼教育了你後來改口說 核電是沒有考慮的一部分 輝和家園的態度沒有改變 |
transcript.whisperx[208].start |
6341.312 |
transcript.whisperx[208].end |
6356.275 |
transcript.whisperx[208].text |
這會不會轉得太大人民現在看的話對你們有期許對不對以前大家民調很高或者有期許的郭智輝郭部長是一個專業務實的負責的經濟部長可是你現在是被政治被意識形態綁架了 |
transcript.whisperx[209].start |
6358.164 |
transcript.whisperx[209].end |
6381.33 |
transcript.whisperx[209].text |
報告委員 這個還是一樣我的前提就是非核家園是沒有變只是我那個時候在講的時候沒有講這一句話所以我的用詞不夠精準這點我非常抱歉但是我想我的意思就是說非核家園是沒有變但是其他的這些假設性問題我在敘述假設性的問題也就是說今天如果我們講說這個法 |
transcript.whisperx[210].start |
6382.99 |
transcript.whisperx[210].end |
6396.025 |
transcript.whisperx[210].text |
已經解掉了然後我們去盤點然後去看他安全無虞然後這個核安會他也通過了認為他是可行的所以我是在講說前面都有前提 |
transcript.whisperx[211].start |
6397.045 |
transcript.whisperx[211].end |
6425.857 |
transcript.whisperx[211].text |
那現在大概很多的朋友就是會比較不注意前面的那個假設部長你沒有很委屈啦沒有被震撼教育啦沒有沒有沒有沒有被震撼教育我問你一下你知道經濟部長你任的經濟部長任期最短的是誰嗎現在大家在關心你啦大家對你有問問嘛希望你當久一點啦謝謝在產業界希望你當久一點是 |
transcript.whisperx[212].start |
6426.82 |
transcript.whisperx[212].end |
6449.709 |
transcript.whisperx[212].text |
可是你知道嗎?經濟部長有的任期很短喔左邊這一位中材宜你知道中材宜是幾岁嗎?你不知道?40多岁你應該不是誤闖叢林的小白兔啦你經驗那麼豐富企業界對你有期待嘛我期待你可以像王美花一樣王美花當了快四年 |
transcript.whisperx[213].start |
6450.848 |
transcript.whisperx[213].end |
6471.811 |
transcript.whisperx[213].text |
可是你到底是一個短命的經濟部長還是一個長命的經濟部長這個很重要喔是一方面任期長不長第二個有沒有幫產業界解決問題我都要講了你任期絕對不要發生大停電產業界的人對你說說你講的是謊話或者你不了解我我根本不敢投資這兩個事情一出現我跟你講你明天就掉下來了 |
transcript.whisperx[214].start |
6472.981 |
transcript.whisperx[214].end |
6495.047 |
transcript.whisperx[214].text |
好不好不要大停電讓產業界講真心話真的幫他們解決問題期待你是王美花的任期不是中產儀可是相對你要幫產業界解決問題好不好不要讓人家覺得說那個以前務實專業的鍋子會不見了好不好主委你要不要幫你的老朋友打打氣主委 |
transcript.whisperx[215].start |
6496.878 |
transcript.whisperx[215].end |
6521.149 |
transcript.whisperx[215].text |
他可以解決剛剛講那兩個問題嘛對不對規大停電 滿足企業界的用電嗎用電是要不足夠喔要是穩定的電喔 低碳的電喔你記得你的老朋友 郭志輝 郭部長可以做得到嗎這個幾乎我們每天都有溝通啦我對他信心十足我信心啦好 所以希望可以做久一點而且可以解決問題啦來 可是啊 我剛才講過啦電夠不夠啊 是科學問題 |
transcript.whisperx[216].start |
6523.973 |
transcript.whisperx[216].end |
6541.334 |
transcript.whisperx[216].text |
不是意識形態跟政治的問題,它還是簡單的數學問題。我們來看你的挑戰在這裡你現在河山廠的一號機727要停了明年五月二號機要停了減了7%的電力我們的電力少了7% |
transcript.whisperx[217].start |
6542.967 |
transcript.whisperx[217].end |
6565.836 |
transcript.whisperx[217].text |
然後呢你自己講的過去5年我們的平均用電每一年是成長2.03%郭部長你自己講的加上AI進來之後AI需求爆發的影響我們台灣每一年增加的電力是3%你到2029年剩多少萬用5年來算就好了我們的電力至少要增加16%少7%增加16%你去找這麼多電出來你去找這麼多電出來所以那個地方 |
transcript.whisperx[218].start |
6570.646 |
transcript.whisperx[218].end |
6588.358 |
transcript.whisperx[218].text |
把核電當成一個備援的電力對不對然後第二個你現在看起來你的電量生出來你是從大潭電廠的7號機跟9號機嘛對不對可是現在看起來三接到現在端也見完啊你到時候會不會接不上來報告委員那個三接在明年的4月就會見完幾位 |
transcript.whisperx[219].start |
6592.278 |
transcript.whisperx[219].end |
6617.15 |
transcript.whisperx[219].text |
這有把握啦不要不要用那個現在看起來4號跟4J跟5J環境我去看過了你去看過了下禁令狀喔每年4月是啦一定要搞喔是是是有夠的話有3J有成的話才有可能你的大潭電廠的7號機跟9號機才有天然氣可以用是是要不然的話你就真的是缺電了是好不好好來我們再看下一個除了 |
transcript.whisperx[220].start |
6619.945 |
transcript.whisperx[220].end |
6648.477 |
transcript.whisperx[220].text |
4.5G要真的接上來之外還有一個問題就是低碳AI需要穩定的電嘛對不對而且是低碳嘛現在連環保環境部的部長都講2050年淨零碳排台灣不可能另外我提醒一個點發展產業之外台灣人的健康要顧到對不對我相信你有這個體認主委跟部長應該都很注意這個台灣人的費是比較耐操嗎台灣現在用電一年是3000 |
transcript.whisperx[221].start |
6649.952 |
transcript.whisperx[221].end |
6668.633 |
transcript.whisperx[221].text |
三千億度,製造了多少?產生了多少的這個碳?1.27億噸!我們現在肺癌跟肺腺癌發生的是全世界第15離癌的、死掉的致死率最高的也是肺癌跟肺腺癌 |
transcript.whisperx[222].start |
6669.636 |
transcript.whisperx[222].end |
6687.822 |
transcript.whisperx[222].text |
可是現在看起來你的替代方案你核電停掉了低碳的核電停掉了可是你現在都是天然氣喔都是燃煤喔甚至有個內幕很重要你前幾天啊你還把麥寮的燃煤的這個電廠它是民間的你本來跟它五月就是停止合約的嘛 對不對 |
transcript.whisperx[223].start |
6689.281 |
transcript.whisperx[223].end |
6717.255 |
transcript.whisperx[223].text |
你跟他續約到明年底那個是用燃煤那個是對我自己人那個是對嘉義地區對雲林地區對台中、彰化地區那個健康影響是很大的我現在提醒要有足夠的電穩定的電低碳的電的同時顧到人民的健康好不好好的不過那個是報告委員那是婚姻管政府的要求婚姻管政府要求減煤的要求 |
transcript.whisperx[224].start |
6719.365 |
transcript.whisperx[224].end |
6739.776 |
transcript.whisperx[224].text |
問題是你台電在買啊,你如果為了人民的健康,其實我覺得它是那麼古老的電廠,那麼古老的電廠,而且影響是燒的施展煤,為什麼不停呢?你如果電力夠的話,部長,你如果電力夠的話,我鄭重呼籲,我要再買它的電了,因為時間就是到了啊,而且又是施展煤了 |
transcript.whisperx[225].start |
6743.672 |
transcript.whisperx[225].end |
6767.754 |
transcript.whisperx[225].text |
是的 是如您所指導的但是這個部分就是契約契約就夠了 契約就是5月31日夠了你們現在是延期 為什麼要延到明年底啊好不好 這個我們早先再來追啦我跟你講 站在人民的健康其實不是只有雲嘉蘭、彰化跟台中啦你看那個中南部的那個肺腺癌跟肺癌那麼嚴重好不好 人命關天 也注意一下最後我要求兩個東西好不好 |
transcript.whisperx[226].start |
6769.636 |
transcript.whisperx[226].end |
6795.213 |
transcript.whisperx[226].text |
第一個部長你提出電力設施如果銜接不上你有什麼緊急的方案好不好你本來7%的電力硬要把它停掉我知道你可能也為難因為你是政務官嘛你可能也為難河山廠也要計劃停可是緊急發生狀況銜接不上的時候你有什麼緊急方案第二個你現在核能不研議了增加多少的未來一年好了好不好未來一年因為河山廠 |
transcript.whisperx[227].start |
6796.496 |
transcript.whisperx[227].end |
6819.962 |
transcript.whisperx[227].text |
一要及OIT停完之後,你增加多少的碳排跟發電的成本?你兩個禮拜給我的報告好不好?好的好,加油期待不是一個短命的經濟部長可是,如果像黃部長要當4年的話不要大停電而且電力要充,充足的同時要是低碳的,又是一個穩定的電好不好?讓產業真正可以發展好不好?是是好,謝謝部長,也謝謝主委好,謝謝 |
transcript.whisperx[228].start |
6830.02 |
transcript.whisperx[228].end |
6838.187 |
transcript.whisperx[228].text |
謝謝 那我們待會主席還要宣告一下到鄭振權委員質詢我們休息三分鐘請楊瓊議員 |
transcript.whisperx[229].start |
6861.495 |
transcript.whisperx[229].end |
6864.383 |
transcript.whisperx[229].text |
謝謝主席 楊全元發言首先邀請郭部長 |
transcript.whisperx[230].start |
6872.714 |
transcript.whisperx[230].end |
6894.011 |
transcript.whisperx[230].text |
國務部長好在主委跟您的報告當中我們聽到了幾點重點這個主委說他說沒有台灣很難看到世界因為我們台灣佔有關鍵的位置這個非常nice但是他也提到世界人才荒的這個問題 |
transcript.whisperx[231].start |
6895.252 |
transcript.whisperx[231].end |
6919.459 |
transcript.whisperx[231].text |
所以我也歡喜在你的報告當中你首先會提出人才培育的問題在人才培育的問題之前我們上次有說過這個電力等於國力你也認同這樣子的一個論點所以本期呢要告訴你在你還沒有擔任經濟部長的時候那我們在立法院大院裡頭通過了 |
transcript.whisperx[232].start |
6920.319 |
transcript.whisperx[232].end |
6942.468 |
transcript.whisperx[232].text |
也就是當3月份電價委員會審議的時候4月1號開始漲價漲價之餘呢我們立即提出也就是人民在這個時間非常的辛苦所以9月份因為一年要開兩次會9月份不能再漲要動漲今天我很高興的看到經濟報呢寫了卓葵暗示9月不漲電價請教部長卓葵聽到了民眾的聲音您聽到了嗎 |
transcript.whisperx[233].start |
6950.908 |
transcript.whisperx[233].end |
6979.707 |
transcript.whisperx[233].text |
是不是9月我們會朝這個方向來進行請做說明報告委員我經濟部就是尊重這個院的這個指示啦院的指示所以昨回暗示9月部長店家就是動長就這個方向嘛是嗎我還沒有得到這個院長的這個直接的你看到經濟報吧我沒有看你沒有看啊我現在秀給你看謝謝你趕快看你看這麼大一片 |
transcript.whisperx[234].start |
6980.834 |
transcript.whisperx[234].end |
6988.034 |
transcript.whisperx[234].text |
那是不是會朝這個方向呢?立法院大會也已經通過了也建議給行政部門 |
transcript.whisperx[235].start |
6989.403 |
transcript.whisperx[235].end |
7007.936 |
transcript.whisperx[235].text |
報告委員 這個我們回去以後會請示院長那它是不是這樣的一個方向如果是這個方向我們就按照這個方向來做好 我們也希望能夠得到好的方向就是九月動漲 不漲電價大家一起來照顧我們的民生照顧我們的產業好 你拼命地點頭我們就繼續來討論這一個 |
transcript.whisperx[236].start |
7011.599 |
transcript.whisperx[236].end |
7025.708 |
transcript.whisperx[236].text |
大家要清楚你提出宣示2028年要培育20萬名AI的應用工程師來協助我們整個中小產業導入AI智慧跟製造那依照你的規劃你必須要結盟產業工協會 |
transcript.whisperx[237].start |
7029.051 |
transcript.whisperx[237].end |
7058.033 |
transcript.whisperx[237].text |
國際大廠、學校、職業訓練等機構來協助產業AI的課程﹐輔導企業導入AI的應用所以今天教育部也在現場市長也在現場也就是怎麼樣橫向的部會提升製造AI應用普及這個50%至少50%這是您所提出的所以本期要請教這是一個非常對的方向但是是一個大工程我們希望 |
transcript.whisperx[238].start |
7058.373 |
transcript.whisperx[238].end |
7085.249 |
transcript.whisperx[238].text |
不是只有口號而是真正能夠落實所以請教部長四年培育的20萬名AI的人才你預估有多少是我們的國人是我們的國人大部分都是我們國人大部分都是我們國人我想這個劉主委他在講的部分是跟那個教育部在談的就是這個最高階的在做這個模型的這個工程師這個部分大概從外部進來大概我想大概兩三千人 |
transcript.whisperx[239].start |
7086.149 |
transcript.whisperx[239].end |
7098.017 |
transcript.whisperx[239].text |
但是我要訓練的是實作的在現場操作的工程師跟微調設計的工程師所以這一部分我想大部分都是我們國人也就是20萬裡面我想應該有18萬都是國人 |
transcript.whisperx[240].start |
7101.86 |
transcript.whisperx[240].end |
7117.211 |
transcript.whisperx[240].text |
好 20萬名你要訓練的有18萬名是我國我們自己中華民國的國人我們一起努力所以本期給你一個功課因為國防部也在這邊教育部也在這邊應該要將我國的這一些 |
transcript.whisperx[241].start |
7118.132 |
transcript.whisperx[241].end |
7129.335 |
transcript.whisperx[241].text |
AI的人才必須要做一個橫向前瞻性的一個完整的計劃我也希望你們橫向組織聯繫也一份書面資料給本席那接下來我們還是來講電的問題微軟的創辦人比爾蓋茲他主導的他在美國建了這個第四代的核電廠開工他也表示這是美國潮者 |
transcript.whisperx[242].start |
7147.503 |
transcript.whisperx[242].end |
7164.458 |
transcript.whisperx[242].text |
安全、豐富以及零碳能源。」所以這一項工作成功之後對於美國未來的國家整個的競爭力是非常的重要請教郭部長你認同這樣的說法嗎? |
transcript.whisperx[243].start |
7170.765 |
transcript.whisperx[243].end |
7188.28 |
transcript.whisperx[243].text |
這個國外的新的技術我們都有在觀察有在留意因為它現在還是在做一些實驗還不是完全做商業運轉所以我們還沒有辦法看到它的基本所需求的安全、核廢料如果是這個樣子的話我們當然會再討論會來參考、豐富、安全 |
transcript.whisperx[244].start |
7197.782 |
transcript.whisperx[244].end |
7225.419 |
transcript.whisperx[244].text |
還有零碳的這個能源這個是大家都希望的嘛所以我們也希望能夠跟世界來接軌主席我也請我們國防委主委主委對於比爾蓋茲所提出的這樣子的第四代核電廠的一個開工他的論點剛剛郭部長說如果是這個方向你們會來參考那您的立場呢?你的看法呢? |
transcript.whisperx[245].start |
7227.514 |
transcript.whisperx[245].end |
7247.866 |
transcript.whisperx[245].text |
報委員我大概有一點瞭解他現在是用鈉然後取代過去的水他的輻射量會低一些但是因為鈉碰到空氣會燃燒所以他的安全性還有待觀察那他現在是先凍土還沒有辦法到進一步的核准執照所以我們還要持續觀察他的結果才能定論 |
transcript.whisperx[246].start |
7248.046 |
transcript.whisperx[246].end |
7264.872 |
transcript.whisperx[246].text |
好 這個回答非常好也就是我們各個部門都必須要能夠跟世界來接軌因為全球都在搶人才全球也都對於整個電力給予高度的關注我們必須要好好的去了解因為國力 |
transcript.whisperx[247].start |
7266.727 |
transcript.whisperx[247].end |
7273.172 |
transcript.whisperx[247].text |
電力等於國力。」沒有電力,什麼都不用講了,對不對?好,所以在這樣的一個情況之下,我繼續要來請問那個郭部長,台電公司的財務問題也是一直我關心的 |
transcript.whisperx[248].start |
7281.798 |
transcript.whisperx[248].end |
7305.728 |
transcript.whisperx[248].text |
您在上一次本席請教的時候您說了一句話你說你不支持以公務預算來指引但是目前情況會讓我們嚇一跳所以在這種情況之下呢本席要來請教目前我們自產的一度電2.3塊你買的電不夠你要買的是5.09塊你買了綠能風力發電的一度電多少一度電多少 |
transcript.whisperx[249].start |
7308.766 |
transcript.whisperx[249].end |
7313.149 |
transcript.whisperx[249].text |
Open Book已經在上面你自己看我已經給你Open Book了鋒利綠電多少?你買了多少?6.8塊所以在這樣情況之下台電的財務如果不解決它一直虧損你沒有辦法穩定供電 |
transcript.whisperx[250].start |
7333.673 |
transcript.whisperx[250].end |
7358.803 |
transcript.whisperx[250].text |
這怎麼辦所以您跟我有約定兩件事情第一個在這個會期結束前你會公布包括AI所加入的電力的需求量第二個台電財務的問題要怎麼處理你都還是會在這個會期結束前會告訴我們國人嗎是的是的所以我們就拭目以待好好來做那最後我請國發會 |
transcript.whisperx[251].start |
7362.779 |
transcript.whisperx[251].end |
7386.426 |
transcript.whisperx[251].text |
部長你請回國科會的主委吳主委他說了他說台灣廠商如果不走出去就是面臨嚴重的五缺缺工缺地缺資源等等這是吳主委所說的 |
transcript.whisperx[252].start |
7387.489 |
transcript.whisperx[252].end |
7410.229 |
transcript.whisperx[252].text |
但是在剛剛郭部長所說的他要培育20萬人他也認為我們的電沒問題當然不包括AI的部分還要再統計所以本期要請教國科會主委台灣廠商如果真的不走出去是不是真的會面臨到缺工、缺地、缺資源的問題請教 |
transcript.whisperx[253].start |
7413.989 |
transcript.whisperx[253].end |
7437.207 |
transcript.whisperx[253].text |
謝謝委員我輔導過很多廠商走出去他主要的目的主要是前進國際市場然後加入整個國際供應鏈的需求那這是整個國際的趨勢那也是台灣要進入一個日不落帝國的請回答本席的提問如果我們的廠商不出走我們會面臨在國內的缺工缺地缺資源嗎 |
transcript.whisperx[254].start |
7438.851 |
transcript.whisperx[254].end |
7457.987 |
transcript.whisperx[254].text |
目前來看我認為台灣比較辛苦的會是土地面積的問題社會缺嗎所以你也認同國會會吳主委的說法只有土地因為我們現在你認同他的一部分好一部分接下來我要告訴你他講的是真的你們不要粉飾太平要面對問題去解決問題 |
transcript.whisperx[255].start |
7460.129 |
transcript.whisperx[255].end |
7483.338 |
transcript.whisperx[255].text |
因為在我們的國科會半導體晶片研發的績效來說他申請的人數你看本期的資料OpenBook給你他是往下降的案件也在減少AI的這個A4代的半導體前瞻半導體及量子這個技術研究的計畫裡頭110年申請的是376年111年是201人112年是138人 |
transcript.whisperx[256].start |
7489.841 |
transcript.whisperx[256].end |
7508.141 |
transcript.whisperx[256].text |
今年剩下25人所以你們的橫向必須要去看他那一邊已經短出那麼多了而且我們看到新興晶片設計研發的計畫跟次世代核物半導體的研發計畫申請的人數一直在低減今年剩下多少 30人 |
transcript.whisperx[257].start |
7510.393 |
transcript.whisperx[257].end |
7536.301 |
transcript.whisperx[257].text |
主委本席給你這個數字在國科會的數量是如此心驚驚的真的會怕你不缺人嗎本席有疑慮有疑慮所以我希望的我們要如何的去協助推動產業橫向的聯繫不會非常的重要好不好因為我們要去面對這個問題一個國會委員會主委已經告訴你如果不出走會怎麼樣了那到時候台灣怎麼辦 |
transcript.whisperx[258].start |
7538.962 |
transcript.whisperx[258].end |
7547.247 |
transcript.whisperx[258].text |
台灣怎麼辦?所以本席非常的希望因為這是一個大功課也是一個人類改變的關鍵時刻就誠如你所說的沒有台灣看不到全世界我們很高興的我們的人才都在台灣產生在全世界發揚光大我們更要實際去面對問題橫向政府有這個職責必須要協助產業這是本席給你的功課請你去把它整理好 |
transcript.whisperx[259].start |
7566.638 |
transcript.whisperx[259].end |
7579.711 |
transcript.whisperx[259].text |
去把它整理好我們該缺的要怎麼樣去應對這是我們必要做的好不好你把它整理好順便資料給本席好嗎我會跟國科會討論一下謝謝好 謝謝劉書偉請回好 謝謝接下來我們請謝一鋒委員請做詢答 |
transcript.whisperx[260].start |
7600.502 |
transcript.whisperx[260].end |
7607.692 |
transcript.whisperx[260].text |
謝謝主席我想要請我們國發會的劉主委跟我們經濟部的郭部長我們再請劉主委跟郭部長 |
transcript.whisperx[261].start |
7617.042 |
transcript.whisperx[261].end |
7635.338 |
transcript.whisperx[261].text |
我想請教一下今天早上我們郭部長說如果計算進去就是說我們AI的這個用電的話那未來是3%的這個成長用電的成長那我想要了解 |
transcript.whisperx[262].start |
7636.638 |
transcript.whisperx[262].end |
7653.384 |
transcript.whisperx[262].text |
這個3%的用電成長是我們原先預估的就是在AI沒有蓬勃發展的情況下我們所預估的3%還是在我們看到了AI產業有回答 |
transcript.whisperx[263].start |
7654.224 |
transcript.whisperx[263].end |
7654.784 |
transcript.whisperx[263].text |
這兩個用電的估算還是3%嗎? |
transcript.whisperx[264].start |
7673.508 |
transcript.whisperx[264].end |
7693.485 |
transcript.whisperx[264].text |
跟委員報告上禮拜我剛好有參加這方面的會議的確是上禮拜重新估計的上禮拜重新估計但是我說了你說的是上禮拜重新估計但是我說的是估計的是原先預估保守的這種成長還是是爆炸性的成長 |
transcript.whisperx[265].start |
7694.585 |
transcript.whisperx[265].end |
7709.741 |
transcript.whisperx[265].text |
這是含AI的成長我知道這是含AI過去你的3%就是含AI的成長了但是我們所說的是說如果AI蓬勃發展的時候你的用電供電的成長還是3%嗎 |
transcript.whisperx[266].start |
7713.021 |
transcript.whisperx[266].end |
7741.863 |
transcript.whisperx[266].text |
我們現在是以目前的狀態評估出來的數字是目前的那我不清楚委員彭博的定義大概會到什麼程度那目前我們大概我的了解是郭部長他們去問了很多業界然後台電也問了很多業界綜合出來業界所反映的訊息整理出來的也許郭部長可以做進一步的說可是如果按照回答他的架構他的新產品他的用電量會激增2到3倍 |
transcript.whisperx[267].start |
7742.623 |
transcript.whisperx[267].end |
7770.901 |
transcript.whisperx[267].text |
那這樣子的情況下我們的用電量是否還是3%每年的成長?國部長你有數字嗎?報告委員這個這一部分它們雖然是會增加但是它新的這個晶片也會降能會降能對對對就是說降低它的這個電的能耗所以它未來的用電的成長不會像 |
transcript.whisperx[268].start |
7771.857 |
transcript.whisperx[268].end |
7795.112 |
transcript.whisperx[268].text |
我們大家一般業界的評估的這麼高嗎?是不是?不會這樣這麼高,是不是?而且我跟委員報告主要是這樣子就是說他們現在所晶片有在有降能那另外做成的這個伺服器啊伺服器也會因為這個他剛開始要做這個數據中心他可能不會用那麼大的這個伺服器 |
transcript.whisperx[269].start |
7795.872 |
transcript.whisperx[269].end |
7811.124 |
transcript.whisperx[269].text |
所以他會漸漸地看然後看完以後他最後他那個比較大台的比如說那個350M的或者500M的那個那個一定都是放在比較後面的投資不會一開始就投資那麼大我想對投資者來講他也會慢慢地去 |
transcript.whisperx[270].start |
7812.125 |
transcript.whisperx[270].end |
7827.653 |
transcript.whisperx[270].text |
去測試我們的電到底是有沒有那麼多啦我想這個是事實嘛大家都清楚啦不可能一聲就國伯要勤奮三八五十年勤奮所以初期是不會那麼高對 初期一定不會那麼高所以我們過去的這個現在雖然講說3%我們認為3%其實是應該可以滿足這個市場的需求但2028年以後如果這個AI的熱潮整個非常的好 |
transcript.whisperx[271].start |
7839.261 |
transcript.whisperx[271].end |
7865.858 |
transcript.whisperx[271].text |
那麼我們就是要比較擔心但是我想因為我們現在在看了觀察我們是動態的在觀察所以我們現在另外一個我可以在這個地方跟各位報告就是說大家都擔心我們店可能不夠不過我們從現在一直在檢討做這個節能的這個方案所以這個方案如果我推的下去的話我事實上非常有機會來滿足 |
transcript.whisperx[272].start |
7869.34 |
transcript.whisperx[272].end |
7883.746 |
transcript.whisperx[272].text |
這個2025到2028的成長那我想要了解的就是目前大家都認為說你說未來就是政府部門不應該再就是撥補給台電嗎那電價電價會不會漲是不是你看這是台電的資產負債表4月底的資產負債表它累計的虧損是4400億這樣子高的數字那如果未來 |
transcript.whisperx[273].start |
7896.621 |
transcript.whisperx[273].end |
7915.402 |
transcript.whisperx[273].text |
政府部門過去都是由政府部門吸收以及當初你也講的你原本是要降低就是平均的發電的成本因為從你過去的經驗你認為台電應該要降低平均發電的成本那未來有沒有可能 |
transcript.whisperx[274].start |
7915.842 |
transcript.whisperx[274].end |
7932.282 |
transcript.whisperx[274].text |
在如果目前大家看來好像核能是比較成本是相對比較低的這個情況下那未來沒有可能降低那政府部門又不撥補的情況下那是不是勢必電價就會 |
transcript.whisperx[275].start |
7934.417 |
transcript.whisperx[275].end |
7962.074 |
transcript.whisperx[275].text |
如果我們沒有從效益上面去推估那麼只從這個成本上面去考量的話就會像這個委員你所指教的不過我認為啦這個一個公司的經營必須要看我這個營運的效益跟我所使用材料的成本跟我人力我想這個成本的部分我們除了這個材料的成本以外人力的成本然後運作的這個效益 |
transcript.whisperx[276].start |
7962.954 |
transcript.whisperx[276].end |
7983.411 |
transcript.whisperx[276].text |
這些都是我可以去努力的部分那雖然我們材料成本佔非常的高不過我們現在就是就是女人的成本嗎天然氣跟燃煤的成本嗎您所說的關心的這個核能的這個成本如果核能成本我全部替換了以後我事實上每一度增加的成本並不高 |
transcript.whisperx[277].start |
7984.893 |
transcript.whisperx[277].end |
7990.376 |
transcript.whisperx[277].text |
並不高因為過去我們的這個可能只佔了這個目前是只佔了這個6%到7%所以他真的這個 |
transcript.whisperx[278].start |
7996.311 |
transcript.whisperx[278].end |
8024.249 |
transcript.whisperx[278].text |
90幾%的成本在那邊是固定的啦這個部分真的能佔的部分太小它所影響出來的這個價格是非常的小的那我必須要由這個一些這個妥善率啊或者是漏食的部分啊或者是一些績效不好的地方去努力報告委員我們現在最快的方式就是去推動節能方案節能方案就是ESCO這個方案那麼這個方案呢我可以讓 |
transcript.whisperx[279].start |
8025.836 |
transcript.whisperx[279].end |
8025.856 |
transcript.whisperx[279].text |
業者 |
transcript.whisperx[280].start |
8026.991 |
transcript.whisperx[280].end |
8055.871 |
transcript.whisperx[280].text |
他們也可以降低它的電費那多久可以執行?你節能的方向多久可以執行?因為你必須要在缺口產生之前你如果這樣子說這樣子會增加企業多少的成本?你不能只用高科技產業來看你必須要看影響就業人口最多數的中小企業的人 |
transcript.whisperx[281].start |
8056.852 |
transcript.whisperx[281].end |
8081.526 |
transcript.whisperx[281].text |
他會增加多少成本?基本上我們先滿足中小企業以及一般的商家跟一般的住家的用電我們朝向這一部分剛才我想楊委員也有特別指導我們這一部分的話就是按照院長他如果說只是這一部分我們不長的話我們就努力朝這個部分來努力的 |
transcript.whisperx[282].start |
8082.549 |
transcript.whisperx[282].end |
8098.772 |
transcript.whisperx[282].text |
所以你在不漲電價的情況下你是以節能的方式去因應嗎對對對我們會朝著這個節能的部分來努力臺電的成本呢臺電的虧損呢臺電不會產生虧損不會產生虧損如果我們這個推的數據的話臺電會不會倒閉不會不會倒閉不會不會倒閉是你說的是不是我說的 |
transcript.whisperx[283].start |
8112.18 |
transcript.whisperx[283].end |
8139.655 |
transcript.whisperx[283].text |
經營公司我想我們不可能讓它倒閉啦這個財務有財務的問題我們會去努力但是我個人認為經營一個公司最重要是效益跟效率的問題台電會不會倒閉那如果不會倒閉就不會產生你的認知是這樣是不是你是說不會缺電不會缺電也不會倒閉不會也不會增加成本 |
transcript.whisperx[284].start |
8141.254 |
transcript.whisperx[284].end |
8153.979 |
transcript.whisperx[284].text |
不會增加成本也不會有虧損虧損就過去的虧損是新的不會虧損對新的不會虧損那總經理要不要說一下是不是不會虧損 |
transcript.whisperx[285].start |
8156.844 |
transcript.whisperx[285].end |
8170.796 |
transcript.whisperx[285].text |
報告委員部長因為來自於企業界他對整個成本方面都會有要求那我們會把整個的細節再分析給部長聽到時候會做比較詳細的一個瞭解之後再判斷好 謝謝好 謝謝 |
transcript.whisperx[286].start |
8183.837 |
transcript.whisperx[286].end |
8203.163 |
transcript.whisperx[286].text |
我給部長補充因為前任的部長說有政府台電就不會倒你要大方一點沒問題當然我們也歡喜聽到你是以經營的方式台電不會倒這個是讓國人有信心但是你說台電不增加成本 |
transcript.whisperx[287].start |
8204.093 |
transcript.whisperx[287].end |
8214.399 |
transcript.whisperx[287].text |
那不會虧損這個有一點疑慮啦我們也拭目以待你可以提出方案好 接下來我們請鄭振賢委員請做巡討謝主席我想請一下國防匯流主委、經濟部郭部長還有我們國科會的林部主委請以上三位 |
transcript.whisperx[288].start |
8240.756 |
transcript.whisperx[288].end |
8264.21 |
transcript.whisperx[288].text |
謝謝主席今天特別針對AI這個部分做了一個安排的一個專題報告那我在想說過去這一兩個禮拜以來因為Computex就是那個輝達NVIDIA他們經常到台灣來的時候也引起了一個很大的一個旋風那讓全世界都看到台灣在AI這領域的一個重要性那也讓台灣 |
transcript.whisperx[289].start |
8265.211 |
transcript.whisperx[289].end |
8293.89 |
transcript.whisperx[289].text |
就是認為除了在半導體這個護國神山之外的時候我們可能還會有很多護國神山會陸續的一個生成我們也非常的開心可是在講AI這部分的時候我覺得有三個力三力一定要去處理的一個是人力一個是算力一個是電力這三力我覺得是發展我們AI很重要的三個不同的領域那我在想說我目前因為很多 |
transcript.whisperx[290].start |
8295.311 |
transcript.whisperx[290].end |
8320.934 |
transcript.whisperx[290].text |
委員同仁也都提到了人力跟電力的一個部分那我覺得這個部分我想先從算力這邊來切入算力這邊比較少人講那我這邊也要特別先問一下國防會主委這邊因為我們在講發展AI當中的時候可是好像沒有看到一個從政府的一個角度對於整個國家算力提升的部分有一個很具體的一個做法 |
transcript.whisperx[291].start |
8321.514 |
transcript.whisperx[291].end |
8334.747 |
transcript.whisperx[291].text |
這個部分有沒有一些具體的後續要去做的部分那個主委這邊可不可以先講一下報告委員這個分工上能不能請國科會來他主導我請他是不是先做說明我再補充 |
transcript.whisperx[292].start |
8336.014 |
transcript.whisperx[292].end |
8350.36 |
transcript.whisperx[292].text |
讓國科會做說明是不是這個部分我本來是要講說整個AI相關的部分因為算力是整個AI裡面很重要的一環那整個AI這個部分的時候如果說你要讓國科會這邊先講的時候也沒問題我想說讓國科會這邊先來回應一下 |
transcript.whisperx[293].start |
8355.034 |
transcript.whisperx[293].end |
8373.422 |
transcript.whisperx[293].text |
那個跟委員報告目前整個國網的算力大概是36的Peta Flow的PF那相較於這個韓國跟日本比起來的確是差很多現在韓國跟日本都有四五百以上那麼所以呢我們未來如果要以 |
transcript.whisperx[294].start |
8374.102 |
transcript.whisperx[294].end |
8402.898 |
transcript.whisperx[294].text |
AI去發展百工百業然後讓台灣成為一個AI的大國的話的確是我們在算力事要大幅增進 確實不夠嘛 因為其實本席從上一屆當中的時候對於整個國家算力的部分就非常的關注我們國網中心 坦白說我舉個簡單的例子我們國網中心支援了半導體研究中心半導體研究中心它支援了很多高校裡面大家的一個研究的一個計畫一堆學生在抱怨 裡面根本都跑不動 |
transcript.whisperx[295].start |
8404.219 |
transcript.whisperx[295].end |
8423.835 |
transcript.whisperx[295].text |
就是排程跑不動那時間都跑不動然後光是一個學術單位都沒辦法支援的時候你要怎麼樣去帶動產業這個部分我其實是很懷疑的我後來去看了一下調了一下我們所有的預算就看到我們跟整個算力提供有關的大概只有在整個國研院下面 |
transcript.whisperx[296].start |
8424.676 |
transcript.whisperx[296].end |
8444.286 |
transcript.whisperx[296].text |
有一個高效能計算技術研發建置與維運今年113的預算總共只有6.6億,非常的少總共只有6.2億,抱歉只有6.2億,其實非常的少這裡面還包括維運的部分建置的部分又再砍一半所以我覺得以這樣的部分要用 |
transcript.whisperx[297].start |
8445.226 |
transcript.whisperx[297].end |
8468.245 |
transcript.whisperx[297].text |
國家的力量來支援算力我就本席是非常擔心的可是我覺得因為算力其實當我們現在整個在做尤其像今天在做AI的一個主題當中我們還希望讓整個產業從數位轉型走到AI轉型的時候那政府就必須要更有一些算力掌控在手上作為我們一些政策的工具我這樣講應該是對的嘛 對不對 |
transcript.whisperx[298].start |
8470.467 |
transcript.whisperx[298].end |
8494.47 |
transcript.whisperx[298].text |
所以目前看起來若只靠國網中因為國網中本來就是在支援學術研究的一個機制對產業來說其實是遠遠的不夠所以我在這邊要請教一下郭部長因為我在看你在針對之前那個業務報告的時候你有特別提到就是在整個推動產業AI應用的部分你提到說本部爭取國際大廠免費提供 |
transcript.whisperx[299].start |
8495.131 |
transcript.whisperx[299].end |
8511.58 |
transcript.whisperx[299].text |
AI超級電腦部分算力資源提到算力資源那麼要加速建構台灣專屬生成式AI核心技術這個部分所以就是說以經濟部的角度來看的時候經濟部的算力也是要依靠企業這邊來支持是這樣子嗎經濟部的算力有經濟部的這個預算吧 |
transcript.whisperx[300].start |
8517.968 |
transcript.whisperx[300].end |
8519.83 |
transcript.whisperx[300].text |
經濟部有哪些具體預算在提升算力? |
transcript.whisperx[301].start |
8549.149 |
transcript.whisperx[301].end |
8572.888 |
transcript.whisperx[301].text |
這個是目前就台灣幾個比較重要的一個超級電腦的一個部分目前排第一個是台北萬是輝達提供的那提供部分這當然就是經濟部這邊有大Aplus計畫當中有支持60億左右的一個預算所以我在想說部長這邊提到說要用企業的資源我以為你要用的是這個部分 |
transcript.whisperx[302].start |
8573.668 |
transcript.whisperx[302].end |
8597.064 |
transcript.whisperx[302].text |
那這個部分本席也接受因為經濟部有補助經費那麼要從台北灣這邊去share資源給政府來使用給企業使用我都覺得可以沒有不行所以你剛剛提到說我們經濟部有另外的一個算力的一個研究中心算力中心的一個計畫你再提供給我因為我目前看預算書是沒有看到的那我要講的狀態是目前台灣的這幾個重要的超級電腦當中排名第二個是 |
transcript.whisperx[303].start |
8604.089 |
transcript.whisperx[303].end |
8630.605 |
transcript.whisperx[303].text |
氣象署的超級電腦第三個就是台三二號這個部分排名目前是排名106全世界排名106他剛成立的時候排名第20排名第20本來是很好的一個狀態現在完全往後退了那我們接下來再看到就是接下來的部分呢台灣這邊排名比較前面的這些超級電腦的部分就是兩個是 |
transcript.whisperx[304].start |
8633.053 |
transcript.whisperx[304].end |
8647.087 |
transcript.whisperx[304].text |
兩個是氣象署的 兩個是國網中心的兩個氣象署 兩個國網中心然後一個是額蘇時 另外一個是輝達大概就是這樣子那以這個部分來看的時候呢我覺得台灣的算力其實是明顯的不足我剛剛舉這個例子 |
transcript.whisperx[305].start |
8648.328 |
transcript.whisperx[305].end |
8668.61 |
transcript.whisperx[305].text |
就從前年的時候我在看在質詢就是我們國防中心預算的時候我就覺得整個這部分是不夠的可是雖然今年的預算有增加十幾%可是金額還是非常的小對於台灣要去成就這樣的一個算力中心我覺得是非常的不夠那所以這部分我希望說就國發會主委這一邊你能夠 |
transcript.whisperx[306].start |
8670.692 |
transcript.whisperx[306].end |
8685.462 |
transcript.whisperx[306].text |
跟橫向聯繫跟我們經濟部跟我們國科會這邊一起來提升看怎麼樣子來讓台灣的算力是夠的因為算力不夠的時候AI要去發展其實是緣木求魚我覺得這部分在這邊特別提這個部分 |
transcript.whisperx[307].start |
8686.723 |
transcript.whisperx[307].end |
8715.322 |
transcript.whisperx[307].text |
謝謝委員我順便補充一下我們現在國科會在沙倫這邊規劃一個超級電腦中心會超過100的Peta Flow那另外在金創計畫以後再往上加那應該會額外增加100多的Peta Flow所以我們在金創計畫當中的時候要成立就是新的我們的算力中心是這樣子嘛 對不對在金創計畫接下來10年過程當中我們要建立兩個我們的算力中心 對不對國科會主委 |
transcript.whisperx[308].start |
8716.383 |
transcript.whisperx[308].end |
8718.986 |
transcript.whisperx[308].text |
這個部分我們就拭目以待那接下來的部分我覺得我還是要特別提到電力因為事實上算力器就是電力 |
transcript.whisperx[309].start |
8736.283 |
transcript.whisperx[309].end |
8751.17 |
transcript.whisperx[309].text |
那我這邊要特別問一下郭部長因為坦白說你在就職之前的時候來拜訪的時候你就特別提到了說我們也建築媒體就是說你就是電力提供充足是最重要的一個關鍵從企業界來一定需要有電力嘛 |
transcript.whisperx[310].start |
8752.03 |
transcript.whisperx[310].end |
8760.618 |
transcript.whisperx[310].text |
那當時你也提到河山研議其實是選項之一因為到時候要如果不夠的時候河山研議可是因為你吃了一頓飯之後我發現變了那這個部分我要講一個點就是說說實話你從企業界來接這個位置大家對你有很多的期待 |
transcript.whisperx[311].start |
8769.045 |
transcript.whisperx[311].end |
8795.562 |
transcript.whisperx[311].text |
因為大家認為也許你可以把企業經營的概念跟務實的態度引進政府的部門所以我們希望你能夠堅持對的事情那我這邊要特別講其實整個河南的狀態其實整個世界也在改變你上次你有回答我說你們也在關注很多新科技的一個部分那至少目前為止在發展整個高科技產業當中包括微軟包括Amazon |
transcript.whisperx[312].start |
8796.183 |
transcript.whisperx[312].end |
8811.123 |
transcript.whisperx[312].text |
包括openAI他們都已經很具體要自己去投入核電站那這個部分就是因為他們覺得電力供應非常非常的重要那你從高科技來我希望你對於電力的供應能夠更務實那你 |
transcript.whisperx[313].start |
8811.784 |
transcript.whisperx[313].end |
8827.912 |
transcript.whisperx[313].text |
去吃了飯之後你跟我們講說現在電力是夠的未來也都會夠即使碰到了AI的一個爆炸期之後還會夠那我希望你到時候到本辦公室做一個更細部的一個說明那我這邊也要給你一個鼓勵啦因為你去吃了飯之後呢這個政策改變的時候很多 |
transcript.whisperx[314].start |
8829.008 |
transcript.whisperx[314].end |
8854.368 |
transcript.whisperx[314].text |
竹科的朋友開始擔心你會做不久說實話因為他們覺得你會不適應可是問題是大家又希望你能夠帶來一些改變針對這個部分你可以簡單做一個回應報告委員我想這個河山的問題這個是有很多假設性跟前提我可能說話不夠精準不過我想這部分這個報告的部分我會更精準來跟委員報告 |
transcript.whisperx[315].start |
8855.109 |
transcript.whisperx[315].end |
8874.99 |
transcript.whisperx[315].text |
那麼這個新的核能剛才您所指導的這三家公司它是第四代的核能那麼我們對新的核能科技我們會持續的觀察持續的注意那如果它能夠得到我們國人大家的同意我想我們會有一些考慮 |
transcript.whisperx[316].start |
8876.792 |
transcript.whisperx[316].end |
8900.486 |
transcript.whisperx[316].text |
所以說針對第四代合理反而是可以考慮的一個方向那今天我再補一個CNBC美國一個很重要的財經媒體他今天也特別報導了台灣面臨缺電的一個問題當我們整個全國都在熱情地表達支持半導體產業表達支持AI的部分可是我們也不能夠忽略這兩個確實都是吃電的一個 |
transcript.whisperx[317].start |
8901.863 |
transcript.whisperx[317].end |
8917.515 |
transcript.whisperx[317].text |
特別的一個產業所以連美國的財經媒體都擔心台灣電力不夠的時候我希望部長這邊的時候也能夠加快的去做一些調整然後到時候給本辦公室一個很詳細的一個報告好不好好的謝謝 以上好 謝謝好 我們現在休息三分鐘 |
transcript.whisperx[318].start |
8934.153 |
transcript.whisperx[318].end |
8947.963 |
transcript.whisperx[318].text |
臺山三秒是GP,不是GP,臺山二秒是GP,不是GP,不是GP, |
transcript.whisperx[319].start |
8963.818 |
transcript.whisperx[319].end |
8965.421 |
transcript.whisperx[319].text |
全球首發展委員會主任委員會主席 |
transcript.whisperx[320].start |
8977.552 |
transcript.whisperx[320].end |
8983.716 |
transcript.whisperx[320].text |
這個他都看不到捏,我們傳寄他都看不到啊我們是這隻啊我們是這隻的啊暗掉的對啊他沒有開啊他都沒開啊 |
transcript.whisperx[321].start |
8993.622 |
transcript.whisperx[321].end |
9009.733 |
transcript.whisperx[321].text |
不是,都沒看到,因為部長這樣弄,他不會去按那個,所以他剛剛都沒看到,我們傳他都沒看到啊,因為我在這邊看,他才,對,保證這樣看不到了,我們傳東西他就看不到,他這樣看不到了,對,你要按那個 |
transcript.whisperx[322].start |
9019.94 |
transcript.whisperx[322].end |
9028.686 |
transcript.whisperx[322].text |
有有有,我們有,我家群組有看到署長可是他看不到這樣夠大嗎?應該是要這樣這個這個這個 |
transcript.whisperx[323].start |
9035.391 |
transcript.whisperx[323].end |
9042.194 |
transcript.whisperx[323].text |
啊你看看那張圖好好好謝謝謝謝師傅那你那個框框框框框框框框框框框框框框框框框框框框 |
transcript.whisperx[324].start |
9320.728 |
transcript.whisperx[324].end |
9348.848 |
transcript.whisperx[324].text |
好謝謝大家辛苦了我們繼續開會來請就座我們現在請鄭天才委員請做詢答主席、各位委員有請那個國發會主委、經濟部部長好請兩位謝謝 |
transcript.whisperx[325].start |
9350.438 |
transcript.whisperx[325].end |
9377.455 |
transcript.whisperx[325].text |
再加上這個教育部外部次長大家好這個對於這個國部長對於核電又改變這樣的一個我還是要其免上次在這裡我也特別跟這個國部長提到 |
transcript.whisperx[326].start |
9381.854 |
transcript.whisperx[326].end |
9403.208 |
transcript.whisperx[326].text |
這個核能、核電它是一個專業的部分所以在你上次的報告裡面,郭部長上次的報告核安、核電議題三大前提核安要確保、核廢墟處理社會有共識尊重國會審議及討論 |
transcript.whisperx[327].start |
9406.716 |
transcript.whisperx[327].end |
9432.291 |
transcript.whisperx[327].text |
這些都是涉及到專業上次我也特別提到就算立法院要審議立法委員大部分沒有這個專業所以還是要靠專業請問一下郭部長你上任到現在有沒有跟台電各 |
transcript.whisperx[328].start |
9434.867 |
transcript.whisperx[328].end |
9463.402 |
transcript.whisperx[328].text |
負責核電的這些台電的人員討論過?負責核電的同仁是沒有討論過啦但是跟台電的同仁是幾乎每天都在討論好這個我建議部長要跟台電負責核電的同仁還有核能研究所要討論也許還有其他的相關涉及到的 |
transcript.whisperx[329].start |
9464.737 |
transcript.whisperx[329].end |
9491.275 |
transcript.whisperx[329].text |
這個部會這個是涉及到專業的而且這個涉及到我們今天討論的AI各方面都是需要電力的這個我不是專業但是我認為應該是要去好好的討論這個當然我們之所以合適 |
transcript.whisperx[330].start |
9493.39 |
transcript.whisperx[330].end |
9512.599 |
transcript.whisperx[330].text |
這個整個關閉就是因為福島事故嘛日本的福島事故但是日本馬上就很快的就重啟了對不對他很快重啟所以他這個整個已經重啟了10部機組所以他從目前的 |
transcript.whisperx[331].start |
9513.581 |
transcript.whisperx[331].end |
9527.008 |
transcript.whisperx[331].text |
百分之不到百分之五在2030年提高到百分之二十之二十二這是他們日本對核電的一個處理所以這個部分是科技一直在進步 |
transcript.whisperx[332].start |
9528.71 |
transcript.whisperx[332].end |
9546.91 |
transcript.whisperx[332].text |
所以相關的這些過去引發的這些事故都也會因為科技的進步然後去解決所以這個怎麼樣讓人民安心產業更安心這很重要回到今天的主題 |
transcript.whisperx[333].start |
9550.364 |
transcript.whisperx[333].end |
9558.486 |
transcript.whisperx[333].text |
這個經濟部的這裏面提到AI運用普及力能從目前12.3%提升至50%製造業以及2028年製造業AI運用普及力能從目前12.3%提升至50%這個是要這個積極的來達成這個目標當然這裏面 |
transcript.whisperx[334].start |
9578.208 |
transcript.whisperx[334].end |
9604.858 |
transcript.whisperx[334].text |
無論是經濟部的報告、國發會的報告或者是數發部的報告都提到AI人才、AI人才的培育百工百業的這些應用然後相關的認證、發展各方面而且是跨部會,確實是跨部會 |
transcript.whisperx[335].start |
9606.508 |
transcript.whisperx[335].end |
9629.152 |
transcript.whisperx[335].text |
請問一下部長還是或者是國安會主委這個跨部會誰來負責整合或是說來召集國安會主委你來回答可能比較適合是的跨部會是國安會會來負責國安會當然你的人力也是有限這個國安會負責很多的業務 |
transcript.whisperx[336].start |
9634.243 |
transcript.whisperx[336].end |
9662.691 |
transcript.whisperx[336].text |
這個相關的這些各部會的業務都有關係中長程計劃的核定各方面審議人力怎麼樣去這個人力最多的書發部都請他們多發揮這方面的這樣可以節省你們的人力因為我是老公務員我會強調會比較考慮這個我是30年公務員會比較考慮這個部分 |
transcript.whisperx[337].start |
9663.936 |
transcript.whisperx[337].end |
9689.591 |
transcript.whisperx[337].text |
好 這個那個主委你就先回座部長還有那個教育部因為時間的關係這個我還是要談到原住民的部分畢竟原住民的立委我要讓部長還有教育部了解我過去在台灣省政府服務 |
transcript.whisperx[338].start |
9691.202 |
transcript.whisperx[338].end |
9712.808 |
transcript.whisperx[338].text |
20年然後經審之後到中央服務常務副主委當過6年多民國85年民國85年當時的省政府教育廳跟明智工專明智工專也就是王永慶這個企業 |
transcript.whisperx[339].start |
9716.185 |
transcript.whisperx[339].end |
9743.919 |
transcript.whisperx[339].text |
對原住民開設專班在明治公專最早的專班就是這個專班開設專班培育原住民的人才能夠到台售的企業所以當時這些人這些開設專班的人大部分現在都在雲林雲林的台售廠我講這個部分就是說AI |
transcript.whisperx[340].start |
9745.429 |
transcript.whisperx[340].end |
9773.343 |
transcript.whisperx[340].text |
這個部分我上次也有跟部長提到AI原住民的人才怎麼樣能夠鼓勵他們所以這必須要產業跟教育教育部大專校院怎麼樣能夠合作也讓原住民的人才會往這個方向去發展因為這個原住民的教育我再講一次 |
transcript.whisperx[341].start |
9774.525 |
transcript.whisperx[341].end |
9801.459 |
transcript.whisperx[341].text |
沿漢的教育落差帶大專校園的出債協力出債協力高達30%的落差但是很多的學校尤其是科技大學它去開專班之後到產業界就有很好的一個發展所以這個部分要請 |
transcript.whisperx[342].start |
9803.825 |
transcript.whisperx[342].end |
9814 |
transcript.whisperx[342].text |
經濟部跟教育部這邊共同的來去合作及推動這個部長要不要先發表一下 |
transcript.whisperx[343].start |
9815.351 |
transcript.whisperx[343].end |
9837.516 |
transcript.whisperx[343].text |
報告委員我們的百工百業對AI的人才沒有訓練那麼高階的LLM的部分但是我們是訓練在微調跟使用上面那這個就是說它除了接受一段的訓練以後它就可以發揮所以這個是訓練很快它可能是半年的訓練以後就馬上可以再 |
transcript.whisperx[344].start |
9838.616 |
transcript.whisperx[344].end |
9866.633 |
transcript.whisperx[344].text |
馬上可以在它工作上面應用所以我才有辦法說訓練那麼多人那麼多人來以後因為透過AI來訓練AI我想那個是更快所以可以讓整個經濟提升提升那個價值減少那個loss這個就是我們推動AI的最大的目的好 那個教育部政策我先簡要說明剛才部長講得也非常好 |
transcript.whisperx[345].start |
9868.463 |
transcript.whisperx[345].end |
9889.151 |
transcript.whisperx[345].text |
當初啊我那時候在省政府原住民行政局當副局長去協調這個教育廳然後這個明治公專其實他也不是正式的那個我所謂的這個專班啊也不是正式的協程啊他就是利用暑假開了那個專班 |
transcript.whisperx[346].start |
9891.053 |
transcript.whisperx[346].end |
9909.21 |
transcript.whisperx[346].text |
然後就去學會一技之長然後就到台塑企業是這樣所以剛剛部長也講了他不一定是要一個是一個整個大學的四年的學程部長可以往這方向去市長可以往這方向去努力嗎 |
transcript.whisperx[347].start |
9910.691 |
transcript.whisperx[347].end |
9933.177 |
transcript.whisperx[347].text |
跟這個委員報告那其實像剛剛委員提到我們現在這個在技職這一塊我們有這個產業這個產業產息這2.0這個計畫他基本上就是要結合這個技高還有這個科大跟企業合在一起就讓這些學生其他學的技術因為以前都是學技術之後可能還要考試但是我們現在就是讓他可以 |
transcript.whisperx[348].start |
9934.217 |
transcript.whisperx[348].end |
9960.552 |
transcript.whisperx[348].text |
順利的在科大的即高畢業就可以就業然後可以領薪水然後一邊工作然後一邊也可以這個學技術然後在科大然後可以得到學位那這個部分的人數其實目前全台灣其實大概是7000多人其實一直在往上提升那我們未來也會繼續推動這一塊讓這個那特別是另外也跟委員報告就是說我們在原住民這邊其實在我們在目前在我們有25個大學我們有 |
transcript.whisperx[349].start |
9961.772 |
transcript.whisperx[349].end |
9982.905 |
transcript.whisperx[349].text |
這個設立25個專班那也給這些大學經費鼓勵他們就是在這邊給原住民的同學他有一些一好的training所以我想這部分是教育部是在持續的都一直在努力在做希望教育部能夠跟經濟部合作對這個AI產業的部分對原住民的部分能夠給他們這個學習的機會進入產業界的機會好不好 謝謝好 謝謝 |
transcript.whisperx[350].start |
9990.32 |
transcript.whisperx[350].end |
10012.159 |
transcript.whisperx[350].text |
這個就是之前教育部我們推的是4加1現在又來一個3加2所以我們就很希望說委員所希望的就是你要針對需求者去讓他落實在產業當中這樣子不是只有口號啊所以你現在是改3加2應該要給委員說明清楚謝謝來接下來我們請張家俊委員 |
transcript.whisperx[351].start |
10020.024 |
transcript.whisperx[351].end |
10037.512 |
transcript.whisperx[351].text |
主席我想先請國發會主委 劉主委我們再請劉主委主委今天委員會的這個主題聚焦在產業AI化請教一下主委您覺得目前台灣的AI指數在全世界的排名如何你知道嗎 |
transcript.whisperx[352].start |
10041.127 |
transcript.whisperx[352].end |
10063.842 |
transcript.whisperx[352].text |
這有很多不同方面的排名目前根據英國的機構公布的2023全球AI指數的排名我們台灣排名全世界的第26名美國跟中國大陸分居第一名跟第二名新加坡是第三名根據這個排名我們還有很大的進步空間 |
transcript.whisperx[353].start |
10065.143 |
transcript.whisperx[353].end |
10086.819 |
transcript.whisperx[353].text |
尤其如何增加投資規模、增加企業數量以及實踐都是重要的指標這一點有賴國發會繼續去鬆綁相關的規範法規在刺激民間的投資再請教主委有沒有看過由人工智慧科技基金會進行的台灣產業AI化的調查 |
transcript.whisperx[354].start |
10090.032 |
transcript.whisperx[354].end |
10116.332 |
transcript.whisperx[354].text |
這份沒有看過好 沒有看過那這個調查裡面主要我細節就不講了主要就是說開始將AI導入公司的運營流程裡面這個報導裡面說有將近54%都開始已經導入了這就證明了實務界總是跑在這個政府的政策之前那本席想請教的就是說行政體系AI化有沒有做過相關的調查 |
transcript.whisperx[355].start |
10119.221 |
transcript.whisperx[355].end |
10133.815 |
transcript.whisperx[355].text |
行政體系AI化我目前了解應該是沒有是沒有嗎?那有沒有想過一些公部門在哪些方面可以很迅速的導入AI優化這個行政流程呢? |
transcript.whisperx[356].start |
10135.424 |
transcript.whisperx[356].end |
10154.375 |
transcript.whisperx[356].text |
這個部分就我了解就是各單位都有用到CHAP GDP然後去主要去做資料的搜尋報表的整理那本席舉幾個例子給這個國發會主委建議譬如這個交通管控系統可以透過AI適度的來減少員警的工作量 |
transcript.whisperx[357].start |
10154.995 |
transcript.whisperx[357].end |
10170.286 |
transcript.whisperx[357].text |
然後減少用路人的行車時間包括各級政府的1999通報系統也可以透過AI的運用來提高服務品質那包括各級司法單位的意識系統都可以 |
transcript.whisperx[358].start |
10170.666 |
transcript.whisperx[358].end |
10185.842 |
transcript.whisperx[358].text |
用AI來協助書記官做筆錄甚至可以更公正客觀這都仰賴國發會去制定一套進程讓各級政府可以去遵守請問主委你覺得本席所提的這個您同意嗎 |
transcript.whisperx[359].start |
10187.024 |
transcript.whisperx[359].end |
10213.204 |
transcript.whisperx[359].text |
這一點我同意也順便跟委員報告這些我過去在一些地方政府也規劃過類似的專案譬如說救護車經過的時候透過5G沿路就可以亮綠燈然後車上跟計程車連線就可以開始控制那有些醫院現在也開始導入這樣的系統所以希望未來提AI化的部分絕對不要忘記增列我們行政機關其實也迫切需要導入一些AI的這個系統 |
transcript.whisperx[360].start |
10214.965 |
transcript.whisperx[360].end |
10217.528 |
transcript.whisperx[360].text |
那我可不可以請經濟部長也一起上來請過部長部長就是說今天我們討論AI的議題那AI的伺服器耗電量是傳統伺服器的3至20倍以上大家都知道包括說這個GPT每天 |
transcript.whisperx[361].start |
10238.186 |
transcript.whisperx[361].end |
10241.387 |
transcript.whisperx[361].text |
在美國是要耗56萬度電大約是我們台灣這個每日4萬戶的平均用電量那這樣子來說我們的這個電力問題我也想部長跟主委必須要重視因為現在我們的半導體主要競爭對手就是韓國 |
transcript.whisperx[362].start |
10259.795 |
transcript.whisperx[362].end |
10261.958 |
transcript.whisperx[362].text |
韓國他現在一直在操作說我們台灣有能源問題所以我們政府一定要不要再粉飾太平了你看這麼多的韓國集體的在抹黑我們 |
transcript.whisperx[363].start |
10274.753 |
transcript.whisperx[363].end |
10276.295 |
transcript.whisperx[363].text |
不只韓國,連美國的財經媒體CNBC都報導身為全球半導體的重鎮台灣正面臨電力短缺的疑慮 |
transcript.whisperx[364].start |
10296.294 |
transcript.whisperx[364].end |
10318.782 |
transcript.whisperx[364].text |
那比爾蓋茲投資的泰拉能源也在昨天宣布要蓋這個新的核電廠那NVIDIA的黃仁勳執行長他在離開台灣之前他也說他說台灣的能源問題將會是他設廠的一大挑戰那你們都說不用擔心可不可以告訴我為什麼我們不用擔心能源問題報告委員我們現在 |
transcript.whisperx[365].start |
10323.134 |
transcript.whisperx[365].end |
10330.328 |
transcript.whisperx[365].text |
不用擔心的意思就是我的供電的容量跟需求我的供電還是大於需求的 |
transcript.whisperx[366].start |
10331.994 |
transcript.whisperx[366].end |
10355.847 |
transcript.whisperx[366].text |
就是您自己說的你們要推動這個AI未來會增加每年3%以上的用電那這個核電減少之後核三廠退役之後我們還會有個7%的電力缺口加起來有10%的電力缺口你現在告訴我不用擔心的理由到底是什麼我們為什麼可以不用擔心我們在之前就已經把這個都考慮進去了 |
transcript.whisperx[367].start |
10357.898 |
transcript.whisperx[367].end |
10358.719 |
transcript.whisperx[367].text |
我們的基礎是在這幾年會一直上來 |
transcript.whisperx[368].start |
10374.997 |
transcript.whisperx[368].end |
10391.832 |
transcript.whisperx[368].text |
怎麼上來?有哪些基礎?可不可以一一跟我說明說有哪些發電的基礎是今年、明年會跟上可以補正10%的缺口之外還可以再支持AI產業來推動?報告委員我可以請台電的總經理跟您 |
transcript.whisperx[369].start |
10392.992 |
transcript.whisperx[369].end |
10410.364 |
transcript.whisperx[369].text |
我想要部長說因為部長本來包括主委都告訴我說核能是選項之一結果最近你們兩位都轉向了我想要知道說兩位是不是有受到上級單位指示說不要再講你們支持核能了報告委員我們過去個人的這個 |
transcript.whisperx[370].start |
10418.106 |
transcript.whisperx[370].end |
10423.65 |
transcript.whisperx[370].text |
言論我想這個是有時間的差還差不到幾天就變化這麼大你告訴我是因為時間差時空背景不一樣本席不能接受所以部長跟主委我真心希望你們不要違背你們自己的初衷你們是產業界的希望這是未來我們台灣放眼50年產業界的希望是決定在你們現在 |
transcript.whisperx[371].start |
10447.469 |
transcript.whisperx[371].end |
10468.146 |
transcript.whisperx[371].text |
所以你們一定要拿出大刀闊斧的精神講出實話讓我們台灣面對能源有問題能源供應有問題的真相你不要在這裡告訴我說沒有問題我們都準備好了你們準備好的東西在哪裡在哪裡到目前為止從早上到現在沒有一個講得出說我們能源問題有解決的方法在哪裡 |
transcript.whisperx[372].start |
10475.492 |
transcript.whisperx[372].end |
10493.02 |
transcript.whisperx[372].text |
我們還是有發電的機組會在未來的45年不斷的上來所以我們到2030年的時候我們會有產生900多萬千瓦的電然後我們實際需求只有700 |
transcript.whisperx[373].start |
10494.281 |
transcript.whisperx[373].end |
10497.063 |
transcript.whisperx[373].text |
那部長我問你喔就在你上任之前你知道桃園兩個月跳多少次電嗎?報告委員桃園跳電跟電母50幾次耶而且還在全台灣就只有備載容量3%就要全台大停電的狀態之下了所以部長還有主委我真心希望你們要認真的去考慮這個問題 |
transcript.whisperx[374].start |
10520.322 |
transcript.whisperx[374].end |
10541.112 |
transcript.whisperx[374].text |
而且呢是不是可以向本委員會提出說你們具體的因應方式是什麼你們具體的告訴我們說不用擔心缺電的理由是什麼而不是在告訴我說不用擔心我們絕對沒有問題這樣子的話我不只是本委員會沒有辦法相信甚至整個國際喔我們的競爭對手韓國還有 |
transcript.whisperx[375].start |
10545.035 |
transcript.whisperx[375].end |
10548.839 |
transcript.whisperx[375].text |
這個美國他們要不要投資他們都在觀察我們台灣的這個能源的這個政策那是不是可以有一些具體的說法說服本委員會也說服這些外媒讓他們知道說我們台灣的確是才有競爭力的 |
transcript.whisperx[376].start |
10562.469 |
transcript.whisperx[376].end |
10581.695 |
transcript.whisperx[376].text |
包括委員我們會把這個未來每一年增加多少然後這個會降多少然後從哪裡增加從什麼機組增加對包括說這些機組到底它的它蓋到什麼程度它會不會有其他的原因去影響它供電的這個程度呢這個我們會提供好 謝謝好 謝謝 |
transcript.whisperx[377].start |
10589.103 |
transcript.whisperx[377].end |
10597.625 |
transcript.whisperx[377].text |
謝謝 不知道每個人問的問題都一樣就期待你7月16號以前所公布的答案 謝謝接下來我們請邱智偉委員請做詢答謝謝主席 請這個速發部林次長請速發部林次長 |
transcript.whisperx[378].start |
10620.499 |
transcript.whisperx[378].end |
10641.483 |
transcript.whisperx[378].text |
市長這個賴總統在出席這個臺北電腦展他提出三項的政策目標是你們報告裡面寫的穩定供電穩定供電大概這部分主管機關是經濟部是台電請台電王總經理也一起來那個建制超級電腦那個市長 |
transcript.whisperx[379].start |
10645.356 |
transcript.whisperx[379].end |
10646.297 |
transcript.whisperx[379].text |
穩定供電這點,總統的要求有沒有? |
transcript.whisperx[380].start |
10659.062 |
transcript.whisperx[380].end |
10673.936 |
transcript.whisperx[380].text |
在未來這幾年我們大概有十幾部機組正在興建或規劃中你要說中期短期一年中期3到5年長於10年你要做電力的規劃按照這個AI的這個產業的發展這個你我覺得這個 |
transcript.whisperx[381].start |
10677.018 |
transcript.whisperx[381].end |
10701.635 |
transcript.whisperx[381].text |
電力供應我最信任你啊!是!跟委員報告齁目前能不能穩定?我們趕工中光趕工中齁已經正在興建中的機組就有包括大潭7號到9號新達的1號到3號還有台中的1號到2號這麼多部的機組正在興建中你也來動用看看沒問題!沒問題啦!中期、長期都沒問題!還有包括抓標中的還有已經通過環評還沒有通過環評的短中長期為了AI的產業發展你也來動用看看沒問題!沒問題!請回座! |
transcript.whisperx[382].start |
10707.64 |
transcript.whisperx[382].end |
10717.081 |
transcript.whisperx[382].text |
是這個建制超級電腦我們在2018這個我們誕生了台灣三對不對是那個時候我們投入多少的經費 |
transcript.whisperx[383].start |
10720.13 |
transcript.whisperx[383].end |
10740.951 |
transcript.whisperx[383].text |
我跟你講你不要東張西望我跟你講4.3億啦那時候是科技部提供給這個所謂這個國網中心4.3億在2018年建立這個台灣三嘛因為台灣三是台灣特有種嘛是他那時候的這個計算能量在全球排名是多少 |
transcript.whisperx[384].start |
10744.091 |
transcript.whisperx[384].end |
10768.822 |
transcript.whisperx[384].text |
因為這個是國科會的主管變成你們的業務我跟你講但是那個國網中心現在不是由數位部負責的現在他的這個計算比當時在2018年上線的時候是全球95名那這個建制的超級電腦是你的工作還是這個國華會的工作是國科會的工作國科會來請國科會 |
transcript.whisperx[385].start |
10773.344 |
transcript.whisperx[385].end |
10800.514 |
transcript.whisperx[385].text |
請國科會我剛剛講的數據您知道嗎我知道你都知道喔可是我好像問錯對象了喔不好意思難怪你這個這個你現在的農量啊在2024到今年年底你要到16 petaflop對不對到明年你要到100 petaflop到2028你要200 petaflop這種的這個超級電腦的算力啊 |
transcript.whisperx[386].start |
10801.499 |
transcript.whisperx[386].end |
10811.936 |
transcript.whisperx[386].text |
你在2018我們的計算能量是全球排名第95按照你的目標值你到2028才到200要投入多少經費 |
transcript.whisperx[387].start |
10817.396 |
transcript.whisperx[387].end |
10842.288 |
transcript.whisperx[387].text |
跟委員大概講一個數字我們最近有看過就是如果我們採用NVIDIA最新的如果要200 petaflop的話要一百多億嘛一百三十幾億那你是告訴我這個我剛提出的數據你的目標2028要到200 petaflop那這個你要建置這個算力提升算力要增加多少預算 |
transcript.whisperx[388].start |
10843.72 |
transcript.whisperx[388].end |
10866.409 |
transcript.whisperx[388].text |
就光電腦本身要一百三十幾億那當然你還要蓋Data CenterData Center裡面要有空調然後有一些其他的基礎設施那個還要另外三四十億所以加起來兩百億兩百億你到2028才提到提升到兩百Petal Flop 對不對是你那個虛擬的這個園區啊虛擬的園區本來是那個你們主委 |
transcript.whisperx[389].start |
10871.656 |
transcript.whisperx[389].end |
10880.285 |
transcript.whisperx[389].text |
有說的園區是虛擬的概念嗎?那個虛擬就是基本上是在寫軟體那個是那個速發部的主則你現在生態園區是虛擬的還是實體的?這個速發部 |
transcript.whisperx[390].start |
10884.464 |
transcript.whisperx[390].end |
10897.876 |
transcript.whisperx[390].text |
跟委員報告現在我們政府的那個工作職長的分工是這樣子就是說國發部國發會這邊是要負責那個有硬體跟軟體都是他們都是要負責這邊都有規劃那我們那個數發部主要是負責軟體那因為軟體產業這個特性是 |
transcript.whisperx[391].start |
10904.102 |
transcript.whisperx[391].end |
10930.993 |
transcript.whisperx[391].text |
因為在上下游產業之間並沒有實體貨物的運輸而且現在軟體人才大部分都是...所以我的感覺就是說數位發展部、國科會跟國發會好像大家沒有完全整合大家工作雖然有分工但是沒有有效整合所以包括國發會的報告你的微笑曲線是失衡的 對不對 |
transcript.whisperx[392].start |
10932.697 |
transcript.whisperx[392].end |
10956.31 |
transcript.whisperx[392].text |
在這個製造的部分是最底端然後這個前端的技術研發它的條件非常好但是智慧應用全球佔比是非常低的所以這部分你說智慧應用的部分這是軟體的部分軟體的部分是誰負責的軟體部分是速發部對啊你速發部速發部你要怎麼樣把目前的佔比低於1%要提升到什麼目標值 |
transcript.whisperx[393].start |
10957.605 |
transcript.whisperx[393].end |
10974.357 |
transcript.whisperx[393].text |
也沒有一個目標值你現況智慧應用全球佔比是低1%嘛所以微笑體驗是不均衡的微笑嘛那你要把這微笑變得更美好的微笑不能這樣好像歪嘴巴的微笑 |
transcript.whisperx[394].start |
10975.518 |
transcript.whisperx[394].end |
10997.32 |
transcript.whisperx[394].text |
你這微笑曲線你要把它提升到多少目標你這微笑曲線才會更漂亮各位委員報告我們現在有一個目標那我們原來在這個部分佔全國GDP的比重是1.2%我們希望把它成倍到2.4%的GDP那全球占比你要大概要達到多少目標如果是這樣的話全球占比也是要翻倍 |
transcript.whisperx[395].start |
10998.311 |
transcript.whisperx[395].end |
11023.81 |
transcript.whisperx[395].text |
反正就是從不到1%變成2%目前的短期目標是這樣長期我們當然希望它能夠佔30%以上所以你覺得現在的微效曲線是不是一個不均衡的微效曲線目前是不均衡所以我們才要大力的讓它均衡那尤其是抓到我們可以高速成長的地方所以在軟體的部分是速發部要負責的是的我們會一起共同做我們開過兩次會議了那個 |
transcript.whisperx[396].start |
11028.482 |
transcript.whisperx[396].end |
11044.822 |
transcript.whisperx[396].text |
建制超級電腦我繼續請教你剛剛說的到2028要到200 petaflop如果這個算力到2028你們達標在國際上的這個計算能力計算能量那個評比大概是多少 |
transcript.whisperx[397].start |
11047.919 |
transcript.whisperx[397].end |
11070.249 |
transcript.whisperx[397].text |
我請那個國防中心主任跟您報告報告委員 這個每年都在改變 照現在來看如果有200 petaflops大概可以列到前10名以內我們本來2018是全世界95名那如果2028到你們的目標200 petaflops可以到全球前10名 |
transcript.whisperx[398].start |
11071.219 |
transcript.whisperx[398].end |
11085.891 |
transcript.whisperx[398].text |
報告委員我稍微更正一下2018的時候台灣32號其實是排20名第20名是AI的MACHINE是這樣子嗎對你剛剛提的那個CPU MACHINE那你的目標2028前任到全球前10名在亞洲我們相對的這個競爭的國家比方韓國日本 |
transcript.whisperx[399].start |
11088.527 |
transcript.whisperx[399].end |
11109.407 |
transcript.whisperx[399].text |
他的這方面的這個計算能量有沒有超出台灣當然 兩個國家都超過台灣日本是多少日本他是超級電腦的大國所以他其實都是可以說上千的配套化所以這200會不會太未保守我個人意見是有一點但是我們現在已經在規劃擴充當中 |
transcript.whisperx[400].start |
11111.289 |
transcript.whisperx[400].end |
11126.798 |
transcript.whisperx[400].text |
所以你說你的目標就是建制超級電腦就是你的算力要提升嘛還有伺服器要增加嘛對不對你說所謂的重點就是伺服器跟這個算力那你算力他說這個市長就說這個國防中心主任就說這個太過於保守 |
transcript.whisperx[401].start |
11127.698 |
transcript.whisperx[401].end |
11154.298 |
transcript.whisperx[401].text |
那為什麼不能double到400呢?是是 跟委員報告因為政府的整體的科技預算還是有限制所以我們現在做的就是也是在尋求國際廠商的合作例如我們會跟國際這些大廠他既然要來台灣生產的話他是不是也應該要協助台灣建立超級電腦我們現在是朝這一方面那如果兩相加成的話應該會超過200 超過蠻多的我覺得這個目標實在太過於保守了你最起碼要double到400你看日本有多少? |
transcript.whisperx[402].start |
11155.936 |
transcript.whisperx[402].end |
11169.22 |
transcript.whisperx[402].text |
日本現況是多少?五百到一千五百到一千?我們二零二八才到兩百欸那太過去了吧?那我們怎麼樣跟其他國家競爭呢?另外部長齁,最後這個壓軸請部長,經濟部部長我們請郭部長 |
transcript.whisperx[403].start |
11177.95 |
transcript.whisperx[403].end |
11203.919 |
transcript.whisperx[403].text |
部長我完全由你的報告來跟您請教這個經濟部在建立專屬生成式AI核心技術運用在台灣的製造跟服務業這個部分什麼時候可以完成我們的計畫應該是在這個你們要建立專屬生成式的AI核心技術這核心技術是什麼東西馬上會這個計畫馬上會送出來 |
transcript.whisperx[404].start |
11207.162 |
transcript.whisperx[404].end |
11235.435 |
transcript.whisperx[404].text |
那要花多少錢你們要建立這你們報告寫的我用你的報告來問你啊你要目標是要協助產業AI化產業包括傳統產業也包括中小企業對不對你要讓所有產業都能夠達到AI化所以你要建置我們自己專屬的AI核心技術那什麼時候會出來我們應該馬上今年會送出來但是我們大概要花兩億的這個預算 |
transcript.whisperx[405].start |
11237.456 |
transcript.whisperx[405].end |
11245.587 |
transcript.whisperx[405].text |
兩億就可以把這個生成式的AI因為我是最底層最底層的應用工程師兩億就可以讓所有產業讓它AI化 |
transcript.whisperx[406].start |
11247.495 |
transcript.whisperx[406].end |
11270.477 |
transcript.whisperx[406].text |
對 那是運用嘛 就是說一個它操作的訓練你講的還是太空泛 還是太抽象能夠更具體的把你們怎麼做 這個核心技術的內涵是什麼能夠達到預學效果 是不是可以有一個書面資料給我們然後你引進國際大廠 你目前有沒有口袋名單有有幾家目前有三家目前有三家 |
transcript.whisperx[407].start |
11271.823 |
transcript.whisperx[407].end |
11297.495 |
transcript.whisperx[407].text |
那我就不問你是哪三家有時候是機密問題另外最後一頁第三頁你要說你的具體的措施要透過驗證或代小方式來普及擴散然後建立產業導入AI指引這個部分你們船上條例也要修10-1對不對讓租稅優惠能夠調整這個部分我來幫忙 |
transcript.whisperx[408].start |
11300.882 |
transcript.whisperx[408].end |
11320.997 |
transcript.whisperx[408].text |
我來幫忙你加快速度把它送進來那你要怎麼樣建立這個產業導入AI的指引這個什麼時候會出來一樣我們這個應該是在這個一個月裡面應該可以把這個計畫送出來那你製造業的AI普及加速那服務業的AI有沒有可能普及 |
transcript.whisperx[409].start |
11321.718 |
transcript.whisperx[409].end |
11337.614 |
transcript.whisperx[409].text |
服務業也是一樣我一直覺得你們偏重在製造業那對於就是中小企業對於這服務業這如何讓他這個產業AI化這也是很重要服務業的話我們大概會在那個scan他的那個那個 |
transcript.whisperx[410].start |
11338.174 |
transcript.whisperx[410].end |
11364.722 |
transcript.whisperx[410].text |
所以一般坊間這些產業就說我們是重視製造業製造業裡面的高階或高科技產業傳統的製造業或中小型的製造業卻得不到政府的太多的關愛報告委員服務業或商業我們對盤點庫存或是銷售的都可以這個擴大宣傳讓這些中小型跟服務業知道說我們經濟部、政府幫他們做了哪些前瞻性的規劃 |
transcript.whisperx[411].start |
11365.862 |
transcript.whisperx[411].end |
11393.013 |
transcript.whisperx[411].text |
跟政策的作為﹐這個要廣為宣傳是好 謝謝好 謝謝好 接下來我們請陳昌明委員請做詢答卓鑫各位委員大家好 |
transcript.whisperx[412].start |
11394.042 |
transcript.whisperx[412].end |
11416.58 |
transcript.whisperx[412].text |
今天討論AI的主題臺北六月份天空都是在AI在飄我要特別深化我們的招委這個主題寫得好用詞非常精準為掌握生成式AI等關鍵的技術帶來產業的革命臺灣如何深化AI生態 |
transcript.whisperx[413].start |
11417.765 |
transcript.whisperx[413].end |
11446.372 |
transcript.whisperx[413].text |
充實AI人才與產業AI化,來促動我們台灣數位的一個轉型與應用AI的人才與產業AI化,來擴展我們產業的發展打造智慧的未來這是台灣兩個未來最重要經濟參觀的一個動力站今天莊委我特別稱讚你真的寫得好最重要 |
transcript.whisperx[414].start |
11447.52 |
transcript.whisperx[414].end |
11458.528 |
transcript.whisperx[414].text |
你厲害在哪裡?你把所有單位找過來不管經濟部、不管國安會、不管數位部、不管教育部、不管國安會因為我們的AI |
transcript.whisperx[415].start |
11461.266 |
transcript.whisperx[415].end |
11481.571 |
transcript.whisperx[415].text |
這個產業化發展其實真的要做幾個單位通力的合作同心協力才有辦法打造打造我們未來的AI產業那今天我第一個要詢問的是誰我們臺電的王總經理你不曉得我把你請上來我們請臺電王總經理 |
transcript.whisperx[416].start |
11490.334 |
transcript.whisperx[416].end |
11509.102 |
transcript.whisperx[416].text |
黃總經理你好你好大家都很擔心缺點我曉得你壓力很大但是我認識你那麼久我相信這幾年以來你電力公司一定要有充足的電力有沒有信心有信心包括AI的一個發展 |
transcript.whisperx[417].start |
11509.983 |
transcript.whisperx[417].end |
11527.475 |
transcript.whisperx[417].text |
有,我們這一部分都在盤點我們可能要用電量很大,要規劃好你不要讓我們郭部長下台,要小心、要努力、加油好不好電一定足夠,是好,你可以請回座那第一個我要來請教我們郭部長我們再請經濟部郭部長 |
transcript.whisperx[418].start |
11533.325 |
transcript.whisperx[418].end |
11551.708 |
transcript.whisperx[418].text |
委員好部長好我請教一個這個比較沒有關心但是跟AI生存是未來發展有關心今天所有報紙都在講蓮花坑我們台版的晶片法案那軟體的話都為您享受到 |
transcript.whisperx[419].start |
11553.29 |
transcript.whisperx[419].end |
11569.684 |
transcript.whisperx[419].text |
經變化的一個優惠尤其蓮花哥所以代表台灣的IC設計那裡面說我們的政府只種硬的不種軟的那蓮花哥出來這個代表未來你很多生存式的應用裡面跟這個有關係喔 |
transcript.whisperx[420].start |
11571.286 |
transcript.whisperx[420].end |
11597.774 |
transcript.whisperx[420].text |
所以關於聯發科聯發科我們台新晶片的法案我相信要幫他解決他是台灣人之光在晶片領域裡面能跟美國幾個晶片的設計對抗的話他的成就實在不得了你要多協助你的看法是如何這部分我們會來幫忙真的要加強因為你未來 |
transcript.whisperx[421].start |
11599.63 |
transcript.whisperx[421].end |
11624.701 |
transcript.whisperx[421].text |
這個AI的軟體是非常重要重要的你就又再講你說AI這個產業我們可以在台灣吃五十年所以我們的AI的產業裡面軟體你要排名變成世界第二你有沒有信心軟體排名世界第二我想我們現在在半導體來講的話 |
transcript.whisperx[422].start |
11628.101 |
transcript.whisperx[422].end |
11651.232 |
transcript.whisperx[422].text |
這是你工作報告寫的不是我講的你不要忘了你可能忘了報告委員那個是工作報告裡面講的是IC設計世界第二不是IC設計IC設計美國人掌握在我們不可能說變成第二你那時的報告是講AI產業的那個生成那個應用的AI裡面的軟體 |
transcript.whisperx[423].start |
11653.603 |
transcript.whisperx[423].end |
11677.996 |
transcript.whisperx[423].text |
您的策略我都趴在旁邊你講過都忘記了要檢討一下好不好好這個你可以看你的報告那個我相信你講的沒有錯AI有兩個一個半導體一個生成式的AI就是運算力非常的重要那因為生成AI完成了以後它的應用那一端也是很複雜不是我們想像那麼簡單它還有各種參數來的 |
transcript.whisperx[424].start |
11681.496 |
transcript.whisperx[424].end |
11700.234 |
transcript.whisperx[424].text |
好不好,你加強努力那現在我要請我們國外委我們的劉志偉沒有問到的可以請回座我們請劉志偉我們問的話比較輕鬆部長回座指揮我給你請教一下我們行政院長的一個施政報告裡面 |
transcript.whisperx[425].start |
11706.621 |
transcript.whisperx[425].end |
11711.363 |
transcript.whisperx[425].text |
你知道他說要來創新、創業、變化、創新、你知道嗎?知道,1500億,我們4年後要達到每年1500億4年後要達到每年1500億 |
transcript.whisperx[426].start |
11719.551 |
transcript.whisperx[426].end |
11733.895 |
transcript.whisperx[426].text |
的創新創業投資4年要達到1500億每一年對好好有認真因為我特別看了這一段你的創新創業你說要創新創業以零生態你每一年要編1500億連續5年還是4年 |
transcript.whisperx[427].start |
11743.258 |
transcript.whisperx[427].end |
11754.924 |
transcript.whisperx[427].text |
是到第四年後每一年有1500億是到第四年還是從現在開始從現在開始第四年那逐年會增加是每一年1500億還是四年1500億到了第四年的時候每一年1500億你講得很模糊我聽不懂 |
transcript.whisperx[428].start |
11762.488 |
transcript.whisperx[428].end |
11778.8 |
transcript.whisperx[428].text |
是一年1500億,還是1500億?現在一年差不多700億,我們現在逐年增加,就每年多多少年多多少年?你給他依舊說的不一樣,你看他的施政報告,每年1500億,5年之內創造2萬個就業的機會 |
transcript.whisperx[429].start |
11784.653 |
transcript.whisperx[429].end |
11802.497 |
transcript.whisperx[429].text |
好嗎?再談一談,把疫情給救掉,繼續為我們台灣做出貢獻,好不好?這一點很重要,我跟您請教,那個,世衛部,我來請回座,世衛部是誰? |
transcript.whisperx[430].start |
11814.813 |
transcript.whisperx[430].end |
11826.767 |
transcript.whisperx[430].text |
現在可能跟你們國外會跟經濟部有關係剛剛你們講如果要開發一個生成式的AI剛剛我是聽到哪一個部大概講說200億台幣 |
transcript.whisperx[431].start |
11830.637 |
transcript.whisperx[431].end |
11858.686 |
transcript.whisperx[431].text |
報告委員,如果要做那個大型語言模型的話要開發一個生成式AI大型語言模型的話一千億台幣大概都不夠你是衛部的處長,你講的就實在所以你講的那幾百億台幣,那個人手是AI主權台灣既然是要做成AI生態關鍵的一個地區你曉得,一個生成式的AI |
transcript.whisperx[432].start |
11860.694 |
transcript.whisperx[432].end |
11887.564 |
transcript.whisperx[432].text |
要做到像美國的輝達、微軟、Google、臉書的話還有OpenAI你曉得最起碼多少起跳50億美金起跳那還是普通的如果要做好了好大概100億美金所以我現在跟國安會主委、經濟部長這個是基本的所以要投資很大你要當為一個關鍵核心要帶動台灣的經濟成長 |
transcript.whisperx[433].start |
11890.387 |
transcript.whisperx[433].end |
11917.065 |
transcript.whisperx[433].text |
不要那麼小氣你去看他們我得到資訊最少50億美金做得好百億美金台灣要把這個起碼錢要花下去當為你一個訓練的中心我們有國際的水準不然你會被那幾個大公司控制死掉台灣永遠掌握在人家的手中也不能達成像我們經濟部長不是IC軟體 |
transcript.whisperx[434].start |
11918.862 |
transcript.whisperx[434].end |
11945.429 |
transcript.whisperx[434].text |
你的報告裡面是講關於AI未來的軟體裡面我們要進出我們不好意思搶美國但是你說排名第二我覺得你這個策略也是對的所以各位官員你們這幾個部最起碼50億起跳做得好要100億美金我是告訴大家不是我們想像的那麼容易好不好 |
transcript.whisperx[435].start |
11948.29 |
transcript.whisperx[435].end |
11964.228 |
transcript.whisperx[435].text |
請回座今天討論到很多的AIAI的人才非常的重要現在你們真的我相信部長你在產業界都了解 |
transcript.whisperx[436].start |
11965.599 |
transcript.whisperx[436].end |
11988.638 |
transcript.whisperx[436].text |
那個劉子瑞你也都了解那美國大公司來那個薪水非常的高啊!咱台灣出名啊!咱是為人做家咧!講到台灣人是打工的咧!咱這裡知道這大公司來當然它的研發信息設在台灣我們都非常歡迎但是人才一定要教育 |
transcript.whisperx[437].start |
11990.021 |
transcript.whisperx[437].end |
12017.04 |
transcript.whisperx[437].text |
這個人才培養非常的重要像以前的QICOM我們7億美金本來要賠償的單位投資來他把薪水拉的高其他台積電我講了一次台積電去到他研發科的研發科的就開始他所有那些IC設計軟體產業一定造成這樣不要把台灣電工力很高跟世界每一個國家要合作 |
transcript.whisperx[438].start |
12017.961 |
transcript.whisperx[438].end |
12040.502 |
transcript.whisperx[438].text |
你被掏空都不曉得啊所謂台灣的人才自己培養、自己用不要說此材什麼用啊經用還是經用此材你們不要有這種想法這個是降生的世界啊我們好不容易訓練這麼多的人才出來怎麼隨隨便便可以流出去啊我希望你們特別注意 |
transcript.whisperx[439].start |
12042.011 |
transcript.whisperx[439].end |
12068.193 |
transcript.whisperx[439].text |
再來要運用外來的人才暫時我們所得稅那大概都超過五百萬以上的現在你看Amelia在招人都起碼幾百萬台幣以上五百萬的很多阿你扣稅40%所以這個地方特別注意一下人才如何跟國際交流都加強一下因為這個都是要硬算力的人才非常非常的重要謝謝謝謝 |
transcript.whisperx[440].start |
12072.21 |
transcript.whisperx[440].end |
12084.795 |
transcript.whisperx[440].text |
謝謝我們陳昌明委員貼心的提醒謝謝接下來我們請賴瑞榮委員請做詢答那麼我們中午不休息一直到今天會議結束謝謝請發言好 謝謝昭偉我先請那個劉朱偉跟郭部長我們請兩位 |
transcript.whisperx[441].start |
12093.515 |
transcript.whisperx[441].end |
12119.31 |
transcript.whisperx[441].text |
主委跟部長辛苦了總統其實在6月4號的臺北國際電腦展其實有提到未來的三大的發展策略是把台灣打造成AI島我先請教兩位國務部長就是AI這件事情其實經濟部也做了相當長一段時間那現在投入多少資源未來一定要投入多少資源來爭取讓台灣成為AI島甚至更多的國際大廠來到台灣來投資 |
transcript.whisperx[442].start |
12121.216 |
transcript.whisperx[442].end |
12141.879 |
transcript.whisperx[442].text |
報告委員我們現在就是積極的在對國外的大廠來請他們來台灣投資那麼研發中心或者數據中心那剛才我想順便在這邊補充一下我們在邀請國際大廠來台灣的時候因為我們現在的人才就可能剛才陳委員他在講的 |
transcript.whisperx[443].start |
12143.46 |
transcript.whisperx[443].end |
12167.241 |
transcript.whisperx[443].text |
就是怕擔心這樣子所以我們現在改變改變的就是說他要來台灣如果每一家公司要1000位人才我們都希望他帶進50%的人才進來這部分都是由我自己在溝通所以我們現在目前大概談了三家就是要來台灣設數據中心的那麼他應該是不會發生來我們台灣搶人才的這個現象 |
transcript.whisperx[444].start |
12168.382 |
transcript.whisperx[444].end |
12197.322 |
transcript.whisperx[444].text |
哪三家可以講嗎這個是保密那個可不可以請司長也補充一下吧我們過去來花的錢跟未來一定要投入的錢好不好我們應該花了相當多的經費了啦司長要不要補充一下我們如果是連包含外商補助的錢的話幫一些技術的一些研發外商的一些補助的話超過100億以上超過100億了啦包括所以現在在進行當中不管是輝達或是AMD都是啦政府都投入了錢 |
transcript.whisperx[445].start |
12197.882 |
transcript.whisperx[445].end |
12221.238 |
transcript.whisperx[445].text |
就像當年在半導體產業我們也投入相當多的資源然後引進來台灣這個也在做部長我也希望未來持續好不好就是說一方面當然是國家資源但我們希望把AI島建立起來的話就需要投入更多的資源我們希望這個持續來進行那再來問一下國發會主委好不好國發會未來我們再請主委主委對包括國發基金包括一定要投入多少資源來做這件事情 |
transcript.whisperx[446].start |
12222.319 |
transcript.whisperx[446].end |
12242.511 |
transcript.whisperx[446].text |
國家基金目前我們是已經同意目前是同意速發部我們投入第一個是100億的創業創新基金專門給AI的部分那另外其實我們另外之前有有Funding這個經濟部大概100億那現在用了7億還有90多億所以投入200億的一個 |
transcript.whisperx[447].start |
12243.912 |
transcript.whisperx[447].end |
12264.143 |
transcript.whisperx[447].text |
之外我們今年也匡列國發基金的投資可以有到188億所以這些都可以拿來運用那其中專注AI的至少有100億如果我們要落實這樣的AI導的概念的話事實上當然政府的投入重要的然後看國發基金還有報告基金或相關資源都是重要的一環我們希望來整個匡列出來 |
transcript.whisperx[448].start |
12265.484 |
transcript.whisperx[448].end |
12279.974 |
transcript.whisperx[448].text |
那我要提醒的是這個到現在為止其實全台灣當然是不缺電但是其實北部電力上是有缺口的電力上有缺口南部的在如果沒有更新那個統計其實有470萬的一個缺口北部 |
transcript.whisperx[449].start |
12281.475 |
transcript.whisperx[449].end |
12304.097 |
transcript.whisperx[449].text |
臺灣的南部的部分,高雄是有,我也講過很多次,高雄用電60%,40%是中宋北宋那現在還在,包括新達跟大嶺燃氣機組都還在興建那我要講的是說,就是不斷的提醒這件事情,區域均衡發展上不要讓南部在電力上面不斷的供應的同時的時候,產業的聚落都形成在北部 |
transcript.whisperx[450].start |
12304.858 |
transcript.whisperx[450].end |
12326.638 |
transcript.whisperx[450].text |
所以現在包括大家在談的很多不管是從輝達或者是AMD的部分都在談的這個研發中心的投資的時候那我們希望這些思考不要比如說像輝達現在傳起來有可能大家考慮的點是臺北、台南、高雄但我們希望他能夠更清楚的知道我剛剛講到政府其實是有給予補助 |
transcript.whisperx[451].start |
12328.959 |
transcript.whisperx[451].end |
12353.505 |
transcript.whisperx[451].text |
這個補貼的那我們希望這樣在引導的過程中也要不斷讓他們知道說一方面政府希望南北兩大核心的發展這個AI生態系統是應該南北聚落多去完成它這個才是北部相對容易完成但是南部會比較辛苦一點但是也就是因為這樣而政府要施加一些力道包括電力的部分當南部這麼充分供應電力說AI也是相當耗掉相當多的電力的時候那更應該往 |
transcript.whisperx[452].start |
12354.825 |
transcript.whisperx[452].end |
12377.73 |
transcript.whisperx[452].text |
南部來移動。」我先問一下部長同意這樣的看法嗎?報告委員 我想我們經濟部的立場就是所有的外商要來台灣我們都歡迎到達哪一個城市我們尊重他的選擇不過我在這邊跟委員報告廠商他在選擇的時候不會只考慮水跟電他考慮的是他可以找到多少人 |
transcript.whisperx[453].start |
12378.672 |
transcript.whisperx[453].end |
12404.686 |
transcript.whisperx[453].text |
所以水、電、人才包括場地都是重要的一些句對但是這個東西一定要不斷的長期的去做如果我們不有意識去處理的話所有的東西基本北部的聚落是容易形成的所以我還講的是既然國家有資源下去的時候南部的聚落也形成的時候但我會請蘇發波為什麼我們現在講南北兩大AI的聚落也就是這樣希望他能夠有一個形成好的一個聚落的方式 |
transcript.whisperx[454].start |
12405.126 |
transcript.whisperx[454].end |
12431.339 |
transcript.whisperx[454].text |
那如果只是順著所有的話那基本上你可以預期基本上多數都會在台北所以我還希望說這件事情部長要很有意識的那我也知道現在經濟部有一些計畫在進行當中我也希望部長能夠承諾既有進行的計畫不要去改變跟影響到好嗎我們不會去影響既有進行的計畫進行這種計畫務必要去落實來完成是的好那接下來要請教一下主委因為時間非常有限 |
transcript.whisperx[455].start |
12432.279 |
transcript.whisperx[455].end |
12446.68 |
transcript.whisperx[455].text |
主委認同我這樣的看法嗎就國發基金的投入之後我也希望南北兩大那我知道現在國發會跟數發部有在進行一些南北的這個AI的生態系統AI生態園區的這樣的一個概念 |
transcript.whisperx[456].start |
12448.482 |
transcript.whisperx[456].end |
12467.694 |
transcript.whisperx[456].text |
主委,朝這個方向來規劃,讓實體園區讓南北形成兩大聚落,主委同意這樣的看法嗎?是的,均衡台灣是總統的政策,所以我們會落實這個政策實體園區其實是個政策嘛,我要講啦,當時我知道有一些壓力之後又變成虛擬,如果走為虛擬的話,那其實就是空的嘛 |
transcript.whisperx[457].start |
12468.334 |
transcript.whisperx[457].end |
12488.05 |
transcript.whisperx[457].text |
其實它一定要是實體而且台灣的兩大聚落必然是南北兩大聚落北部以台北為核心包括到新竹這一塊一定是一個聚落南部一定是以高雄跟台南為核心的一個聚落而現在不管是從亞灣或者是台南的這個南科的園區等等其實都看得出來其實已經有聚落形成了包括 |
transcript.whisperx[458].start |
12489.271 |
transcript.whisperx[458].end |
12506.925 |
transcript.whisperx[458].text |
臺積電的一個進駐等我認為那個聚落已經形成那現在是要政府更加大那個力道那我也希望在實體園區的部分國發會未來能夠大力支持這個實體園區南北兩大聚落完成主委可以嗎?可以可以好 這個請主委那個啦好 兩位請坐我接下來請教一下速發部好嗎?副主委啦請回座我們請速發部 |
transcript.whisperx[459].start |
12513.756 |
transcript.whisperx[459].end |
12538.699 |
transcript.whisperx[459].text |
次長請教一下現在的這個南北的AI生態園區的規劃的方向目前是怎麼樣就如同剛才郭部長所講的其實我們在發展科技的時候最重要是人才對於軟體業來講尤其是這樣子那軟體業的主要的對於那個廠商的設廠的那個應該說設公司主要的考量不是在土地跟廠房而是在於人才 |
transcript.whisperx[460].start |
12539.259 |
transcript.whisperx[460].end |
12553.845 |
transcript.whisperx[460].text |
而人才總是會選擇他覺得最好的地方他最想住的地方去居住我們看美國的那個軟體產業的興起其實也是走這條路那至於說這個聚落的形成我請教一下南北的AI生態園區的設施這個持續在進行當中嗎什麼時候會把它規劃出來 |
transcript.whisperx[461].start |
12559.059 |
transcript.whisperx[461].end |
12585.018 |
transcript.whisperx[461].text |
跟委員報告因為我們的數發部負責的是軟體那軟體的尤其軟體產業這個地方我們並目前重點是在於生態而不在於園區那國發會這邊會有整體考量因為國發會這邊會那這件事情是由數發部主導還是由國發會來主導就是如果包含硬體的話是由國發部主導如果是單單軟體的部分的話是由數發部來主導那是由誰整體的總的規劃是由誰來他一定有一個還是主委講一下好了好不好 |
transcript.whisperx[462].start |
12590.245 |
transcript.whisperx[462].end |
12608.777 |
transcript.whisperx[462].text |
整體總的部分我們現在正在是我們這邊在主導那整個均衡在北、中、南都會我希望規劃出來的方案給我們一份參考好不好那我也希望國發基金再大力支持這樣的一個計畫好的再不影響那個保密原則我們會送過去好 |
transcript.whisperx[463].start |
12610.178 |
transcript.whisperx[463].end |
12627.136 |
transcript.whisperx[463].text |
然後再來我也要提醒其實我們現在的包括半導體學院這個不管是中山大學的甚至清大包括陽明交大的部分其實都在高雄也設置了這些半導體學院我覺得善加運用這樣的一個優勢 |
transcript.whisperx[464].start |
12628.217 |
transcript.whisperx[464].end |
12648.613 |
transcript.whisperx[464].text |
那我要講的是其實人才的聚落其實一定是不斷的政府有刻意去引導教育部的次長在這邊我也希望持續的支持南部的這個人才的一個養成的部分不要讓南部永遠只是作為工業不管是電力或者是石化或者是這個港口所需的東西都不斷的供應而已但是在於 |
transcript.whisperx[465].start |
12649.874 |
transcript.whisperx[465].end |
12673.968 |
transcript.whisperx[465].text |
新產業的形成或人才聚落的形成的時候反倒缺乏力道我認為那個對於整個南北的均衡發展是不利的我希望這件事情國發會主委還有各位部長、次長要不斷地放在心上我認為這個才是執政的一個重要的價值位置都會來來去去但是未來怎麼樣讓台灣留下一個均衡發展讓人才能夠留在每個地方事才事所的發展我認為這個才是執政上最重要的價值 |
transcript.whisperx[466].start |
12674.688 |
transcript.whisperx[466].end |
12703.2 |
transcript.whisperx[466].text |
好不好 與各位共勉啦好 謝謝我們一定會在北中發展均衡還好主委你講北中南我剛才聽了心驚膽跳一直南北南北AI生態園區我們台中跟南跟北都一樣都符合最好的條件北中南才能夠均衡還好你講到這一點好 因為你有答應我台中一定要納入 謝謝接下來我們請賴司保委員請做詢問 謝謝 |
transcript.whisperx[467].start |
12709.797 |
transcript.whisperx[467].end |
12715.861 |
transcript.whisperx[467].text |
謝謝主席一切各位先進有請經濟部長、郭部長我們再請郭部長委員好部長你好你上台之後不斷地說不缺電不缺電我就給你看一張圖這是台電的圖備轉容量 |
transcript.whisperx[468].start |
12740.748 |
transcript.whisperx[468].end |
12751.314 |
transcript.whisperx[468].text |
在過去已經有7天低於10%了最近的6月9號今天是6月12號6月9號備轉容量9.49備轉容量284.5萬千瓦 |
transcript.whisperx[469].start |
12764.983 |
transcript.whisperx[469].end |
12776.25 |
transcript.whisperx[469].text |
夏天還沒有到勒前幾天我們梅雨季節天氣很涼快用電來掃勒你已經有7次低於10%我就問你你說不確定那為什麼你們對台塑的賣鳥一號機還要給它延長一年勒 |
transcript.whisperx[470].start |
12789.997 |
transcript.whisperx[470].end |
12802.586 |
transcript.whisperx[470].text |
他是藍美的他把他蓋成藍氣體的結果你們就是怕沒電60萬、千萬趕快賣掉再延一年到明年底你要不要回答一下報告委員這個低於10%大概就是這麼一次 |
transcript.whisperx[471].start |
12810.68 |
transcript.whisperx[471].end |
12833.477 |
transcript.whisperx[471].text |
那我們的意思就是說這個在10%左右這個因為還可以容許幾個機組他如果有狀況的時候這個是這個這些備載的狀況這樣所以應該不至於在這個情況之下會跳馬上夏天喔夏天日和現在超過30度喔來我就納悶了納得悶了部長聽好喔 |
transcript.whisperx[472].start |
12840.373 |
transcript.whisperx[472].end |
12850.28 |
transcript.whisperx[472].text |
河山廠的1號機裝置容量有多少?你告訴我台電應該知道,打發試一下98萬千萬我這裡數字95萬,將近100萬這個東西我們法都給你改了讓你可以申請不要前面5年結果你後來丟棄了你原來講河河山修完完畢以後就可以 |
transcript.whisperx[473].start |
12867.363 |
transcript.whisperx[473].end |
12867.383 |
transcript.whisperx[473].text |
演繹 |
transcript.whisperx[474].start |
12898.359 |
transcript.whisperx[474].end |
12923.329 |
transcript.whisperx[474].text |
你還有意思說你希望能夠做滿四年你知道哪一個經濟部長做滿四年你告訴我我是回答說一個任期是四年你查一查那跟院長一齊院長沒有做過四年的除了蘇貞昌第二次會過過去從2000年以後的院長有的一年多賴清德兩年左右 |
transcript.whisperx[475].start |
12924.4 |
transcript.whisperx[475].end |
12938.412 |
transcript.whisperx[475].text |
跟院長一起的啊這個啊,你講這個話要坐滿四年有一點類似喔這句話沒有很老聽啦但是我的感覺就這樣我的feel就這樣叫青蛙打哈欠好大的口氣你知道嗎跟著院長走啊院長沒有四年的除了蘇貞昌是很奇怪的剛好這樣讓他轉告幾乎沒有四年的有的一年有的兩年 |
transcript.whisperx[476].start |
12953.356 |
transcript.whisperx[476].end |
12979.893 |
transcript.whisperx[476].text |
跟著院長走你說你要做四年這代表你也不進入狀況然後你現在我們感覺到是SRF你怎麼突然又發一個可以推薦函呢你們可能又發給桃園那三家可以進推進這個推進它進桃園觀音呢桃殼呢為什麼你要發我請教你為什麼你要發 |
transcript.whisperx[477].start |
12981.093 |
transcript.whisperx[477].end |
12995.945 |
transcript.whisperx[477].text |
這一部分我們不是主管單位桃園才是主管單位你還被罰了我沒有罰我們只是他來這個場來訴願然後我們透過訴願委員會然後把他退回去這樣他是訴願委員會決定的不是經濟部決定的 |
transcript.whisperx[478].start |
13008.57 |
transcript.whisperx[478].end |
13031.923 |
transcript.whisperx[478].text |
書院委員就是你經濟部的底下的沒有沒有沒有那個報告委員這個書院委員會一共有11位委員其實底下都是經濟部的官員沒有經濟部的官員只有兩位其他的九位是外面的學者跟專家主要是你們主導我跟你講我們的立法委員國民黨的立法委員有一個將軍陳永康上將他推了 |
transcript.whisperx[479].start |
13037.301 |
transcript.whisperx[479].end |
13061.458 |
transcript.whisperx[479].text |
兵推他講了一個概念不要再擔心老共打我們能夠撐多久啊什麼之類的重要是一打仗台灣能不能撐電能不能撐兩天48小時醫療能不能撐48小時我就去詢問你我發現國安局長問了他說你才有答案能不能撐48小時就打仗的時候撐48小時供電無虞請你回答 |
transcript.whisperx[480].start |
13065.325 |
transcript.whisperx[480].end |
13087.646 |
transcript.whisperx[480].text |
這一部分我不是專家我沒有幫我回答打仗的時候打仗的時候打仗的時候我想這個是由國家調度的不是經濟部可以調度的我剛才去國安局局長問他說經濟部管的要經濟部長回答所以我來這裡問你那這個如果以電網的韌性我們是可以的 |
transcript.whisperx[481].start |
13089.468 |
transcript.whisperx[481].end |
13117.587 |
transcript.whisperx[481].text |
兩48小時撐得住是撐得住是因為電很重要喔電如果撐不住的話你醫療就有問題血漿就有問題冷鏈就有問題沒有問題你參加過兵推沒有兵推沒有沒有有機會參加兵推請你特別注意這一關現在大家都覺得說兩岸打仗怎麼樣其實兩岸打仗電最重要電的韌性電最重要我 |
transcript.whisperx[482].start |
13119.202 |
transcript.whisperx[482].end |
13142.015 |
transcript.whisperx[482].text |
這是臺電董事館告訴你的啦我請你回去study一下好好做功課啦不要張大口下做死年如果你這樣子完全沒有自己的一個mindset然後隨波逐流這樣你是做不死的啦真的我都覺得你shake it shake it好好加油吧謝謝委員 |
transcript.whisperx[483].start |
13144.677 |
transcript.whisperx[483].end |
13155.467 |
transcript.whisperx[483].text |
剛剛賴司保委員講的是推薦文你們回答的是蘇院委員會的結果所以雞同鴨講還是要給賴司保委員說明清楚 謝謝接下來我們請鍾嘉斌委員請做詢答10分鐘 謝謝 |
transcript.whisperx[484].start |
13167.25 |
transcript.whisperx[484].end |
13173.859 |
transcript.whisperx[484].text |
主席、在場的委員先進、列席的正午江蘇黨官員、會場工作夥伴、媒體記者女士先生有請我們國發會劉主委和經濟部郭部長請兩位 謝謝 |
transcript.whisperx[485].start |
13181.704 |
transcript.whisperx[485].end |
13201.888 |
transcript.whisperx[485].text |
主委好部長好來先請教部長部長最近你很紅我們提到AI它的應用跟生產耗能大不只它的製造它的硬體的運作跟冷卻用電需求量很大那這裡有一個綠色的民主制指出我們台灣到2023的工業耗電佔了55%那到了這個台積電它的半耗力產業到2021年到2030年要增加兩倍多是不是這樣子 |
transcript.whisperx[486].start |
13210.168 |
transcript.whisperx[486].end |
13238.759 |
transcript.whisperx[486].text |
那這麼大的數量我們來看一下當然是這麼多的半導體產業台積電要蓋7座3奈米預估到2030年台積電用電占全台六分之一經濟部有把握嗎有有把握好那你還告訴他一個好消息因為這個各縣市首長都在搶回答你說沒有關係沒有關係2030年至少還有10座的資料中心要建置對不對大家趕快去分那請問一下這10座資料中心耗不耗能用不用電 |
transcript.whisperx[487].start |
13239.907 |
transcript.whisperx[487].end |
13259.57 |
transcript.whisperx[487].text |
耗能與用電那好 那請教一下那就是為了滿足未來半導體製造還有人工智慧的硬體運作及冷卻需求你們有對未來的用電需求做了評估了嗎有那也知道要怎麼樣去把目前的供電提高到未來的滿足對未來的需求有做了一個計畫了嗎有做這樣的這個假設了好 那我就開始來問一下了 |
transcript.whisperx[488].start |
13260.771 |
transcript.whisperx[488].end |
13286.038 |
transcript.whisperx[488].text |
2030年您是說不會缺電除非明年起AI用電暴增我這個不太清楚去年我們國家台灣大概用了2821度多的電那其中的再生能源占了大概267億多大概占比大概9%是這樣子那請問到了2030年你預估台灣的用電需求要多少2030年台灣需要用到多少電我聽說是3400億度是這樣嗎 |
transcript.whisperx[489].start |
13288.96 |
transcript.whisperx[489].end |
13313.699 |
transcript.whisperx[489].text |
數字正確吧是那這當中的綠電要多少綠電需求我們的規劃是30%30%大概就是408億度的電好那從不到300億度要增大到400億度那怎麼來呢我們往下看那目前國際企業要求RE100供應內要100%的綠能那這其中的綠能有1、2、3、4、5你覺得台灣都有具備嗎 |
transcript.whisperx[490].start |
13316.041 |
transcript.whisperx[490].end |
13324.624 |
transcript.whisperx[490].text |
目前生智能是比較少的有潛力風光不錯水利在發展當中那有包含核電嗎 |
transcript.whisperx[491].start |
13326.94 |
transcript.whisperx[491].end |
13354.69 |
transcript.whisperx[491].text |
R100R100沒有包含所以其實大家要去關心的未來因應台灣的產業的外銷需求我們需要的綠電不包含核電英文過第三次了接下來那請問你估計國際企業在台灣建制數據中心及高科技產業的廠商要合乎R100的再生能源需求未來的綠電供應足夠了嗎你如何來提高這些綠電滿足他們的需求報告委員經過我們的盤算是足夠的足夠那有什麼手段嗎 |
transcript.whisperx[492].start |
13356.311 |
transcript.whisperx[492].end |
13376.415 |
transcript.whisperx[492].text |
我們會把綠電需求的廠商我們就給他綠電那不需要綠電的廠商我們就給他其他的綠電綠電不夠賣目前那要買綠電買不到那目前有一個說法說1000度的綠電被台階拿走900度了中小企業買不到為什麼 |
transcript.whisperx[493].start |
13378.335 |
transcript.whisperx[493].end |
13405.581 |
transcript.whisperx[493].text |
這是在過去啦那報告委員這是我來了以後我們現在馬上要成立一個綠電平台是所以我想這些中小企業都買得到好 那我們來往下看其實呢大廠購電的合約可以讓風光業者、風電業者去融資這您知道吧目前光電、風電它需要很大的融資嘛是所以這些購電契約它可能要用專業融資你知道為什麼中小企業拿不到這個購電契約嗎因為銀行不同意貸款那怎麼解決 |
transcript.whisperx[494].start |
13408.638 |
transcript.whisperx[494].end |
13421.013 |
transcript.whisperx[494].text |
我封電廠我要跟銀行融資嘛我拿上市會公司購電契約我可以拿去做專案融資中小企業來跟我買電打的契約沒有用怎麼辦這部分我想我們經濟部會來處理我想我們會給他一些 |
transcript.whisperx[495].start |
13425.799 |
transcript.whisperx[495].end |
13444.711 |
transcript.whisperx[495].text |
他可以他也可以賣給我們會可能會去撮合一下所以你們希望用電價分級的方式來處理是這個目的嗎是最近就是說你們就買綠電、一般電、低碳電分開來需要綠電的去買你中小企業就算沒有辦法去跟風電業者取得購電契約你都可以透過這個平台來購買是不是這樣意思是的 |
transcript.whisperx[496].start |
13445.171 |
transcript.whisperx[496].end |
13472.194 |
transcript.whisperx[496].text |
好 那就要明白的說出來 不然大家搞不清楚為什麼店家要分級是看我家的用電多寡還是用什麼方式好 往下看所以現在來請教我們國發會的主委我們風光發電機的建設性我們供應機載用電是不是要輕能輕能是我們的一部分一部分 儲能的部分輕能很重要對好 那你目前台灣的輕能除了儲能之外還有待發展的空間各部會怎麼去做 |
transcript.whisperx[497].start |
13474.637 |
transcript.whisperx[497].end |
13494.334 |
transcript.whisperx[497].text |
我們目前除了這個儲能的部分以外我們其實跟中研院現在也會跟他有一些計畫做來練習的發展那另外其實我們最近也在探尋地熱因為菲律賓就已經有一點多Gigawatt已經在運轉的地熱所以這些都是多元力的人是我們現在在探尋的方向 |
transcript.whisperx[498].start |
13494.534 |
transcript.whisperx[498].end |
13518.588 |
transcript.whisperx[498].text |
您說得很好,多元力能這是我搜尋到的上一頁包括電解海水去置氫包括把天然氣轉成綠氫或藍綠氫以及我們要燃料電池要來作為我們的儲能設備很重要的一個基礎,是不是這樣?是的所以國科也要盤點這些技術了,是嗎?是的好,最後所以未來氫能的發展和技術補助要從基礎設施切入有沒有大幅的擴大民生需求有沒有具體的計畫? |
transcript.whisperx[499].start |
13520.169 |
transcript.whisperx[499].end |
13537.279 |
transcript.whisperx[499].text |
目前我們這個部分因為它的成本比較高我們還是在實驗階段但是只是預備否未來比較長期的發展好 最後再請郭部長請經濟部能夠盤點未來國際企業及台廠需求就符合R1-100再生能源供給是否足夠 |
transcript.whisperx[500].start |
13537.859 |
transcript.whisperx[500].end |
13562.398 |
transcript.whisperx[500].text |
提出一個符合R100增增能源的商業模式評估。」可以嗎?可以就是商業模式我剛剛講到了小企業買不到電你有商業模式怎麼樣讓他買得到綠電第二個請國發會研議未達成2050淨零碳…對不起淨寫錯了能源結構的轉化行政院推動汽能產業的部會分工部會有分工可以提出來評估後給本席嗎?好沒問題好謝謝部長謝謝主委謝謝主席謝謝 |
transcript.whisperx[501].start |
13565.492 |
transcript.whisperx[501].end |
13573.018 |
transcript.whisperx[501].text |
接下來我們請張智倫委員、張智倫、張智倫委員我們請陳沛宇委員請發言10分鐘 謝謝4分鐘喔4分鐘好 謝謝主席有請國發會主委還有經濟部長 謝謝主席我感覺我身分清曉好 |
transcript.whisperx[502].start |
13591.279 |
transcript.whisperx[502].end |
13615.892 |
transcript.whisperx[502].text |
請兩位謝謝那部長好那主委好部長我之前已經跟您請教過關於中小企業的部分那我今天要繼續針對中小企業在AI這個面向要拜託國發會跟經濟部在你們所有所有人都只提到黃仁勛所有人都提到Supermicro的時候大家不要忘記了台灣的經濟主力是所有的中小企業這件事情我相信部長跟主委一定有放在心上對嗎 |
transcript.whisperx[503].start |
13617.827 |
transcript.whisperx[503].end |
13646.229 |
transcript.whisperx[503].text |
在賴總統的競選政見當中他有特別提到一定要在走向人工智慧島上的這個路上不要忘記台灣的傳統產業還有相關的服務業所以今天我雖然只有4分鐘但是我想要快速跟兩位請教在你們日後的政策規劃當中或是眼前已經在分配的資源當中是不是有協助到中小企業深化AI生態系還有相關AI轉型這件事情不要讓中小企業在這整個 |
transcript.whisperx[504].start |
13647.11 |
transcript.whisperx[504].end |
13669.066 |
transcript.whisperx[504].text |
在這個浪潮當中他們已經開始感到恐懼跟焦慮不知道政府將即將如何協助他們好嗎來下一頁我想要談的是傳統產業有非常多的樣態而且樣態上他們所需要的AI的協助截然的不同但是經濟部跟國發會你們在盤點相關政策跟資源的時候目前是不是已經開啟跟相關中小企業或是傳統產業的團體對話了呢已經開始了嗎 |
transcript.whisperx[505].start |
13672.649 |
transcript.whisperx[505].end |
13677.319 |
transcript.whisperx[505].text |
還是只有跟所謂的大廠、大公司、國際大廠碰過面?」我想要積極地問一下 |
transcript.whisperx[506].start |
13679.772 |
transcript.whisperx[506].end |
13706.606 |
transcript.whisperx[506].text |
我們這邊是有跟一些中南部的業者開始在溝通了解他們的需求這個是中南部的業者嗎?可能是單一?都是中小企業這個我覺得沒有問題主要是均衡台灣是總統政策包含產業的均衡所以我們對中小企業目前是有在明確的規劃但是聽起來好像沒有更具體的東西那經濟部這邊呢?報告委員經濟部這邊是先了解這些業者他們的需求 |
transcript.whisperx[507].start |
13707.466 |
transcript.whisperx[507].end |
13715.752 |
transcript.whisperx[507].text |
那因為這個智慧化、智能化我想我們瞭解他的需求我才會針對他們的需求下去講那我們就離開科技我們來回到所謂傳統產業或者是服務產業這件事情那我就先講出結論好了我希望經濟部跟國發會必須要積極 |
transcript.whisperx[508].start |
13727.099 |
transcript.whisperx[508].end |
13740.676 |
transcript.whisperx[508].text |
整合你們必須要一起去想如何促進在地產業升級因為這也可以積極協助他們缺工的問題我相信兩位來自業界一定非常清楚傳統產業面臨缺工的困境最後提供策略性的協助我就先講結論我們辦公室之後會積極跟國發會和經濟部討論 |
transcript.whisperx[509].start |
13743.839 |
transcript.whisperx[509].end |
13772.268 |
transcript.whisperx[509].text |
這個相關的Discovery紀錄片裡面談到台灣的創新能量非常的強他們表現在智慧機械上這件事情我相信你們來自產業一定明白那目前的困境就是台灣這些中小企業有沒有辦法承擔支付這樣的研發經費或者是他們有沒有辦法找到相關的研究單位協助他們去客製化他們的需求我相信一定有困境那例如說我時間有限我就不再舉例我以我在教育文化委員會最理解我們之前在推動的一個法案就是營養午餐法 |
transcript.whisperx[510].start |
13773.588 |
transcript.whisperx[510].end |
13788.682 |
transcript.whisperx[510].text |
營養午餐產業大量的缺工而且很多中年的或者是已經靠近60歲70歲的很多阿姨還有叔叔伯伯在現場他們要搬運他們要煮食然後他們有非常多細緻的工作有沒有機會透過協作機器人去解決 |
transcript.whisperx[511].start |
13789.162 |
transcript.whisperx[511].end |
13815.018 |
transcript.whisperx[511].text |
我相信是有的台灣也有很多產業我們就不一一點名這些公司我想你們都非常清楚所以我要說有沒有機會你們真的針對不同業種的需求去理解他們去傾聽他們甚至幫他們找到適當的資源因為你們要跟大公司對話真的非常非常容易可是我們非常多中小企業的團體跟朋友如同您說的在中南部的很多業者我相信他們現在非常非常的焦慮那我就不再一一舉例了我想要問 |
transcript.whisperx[512].start |
13815.618 |
transcript.whisperx[512].end |
13844.398 |
transcript.whisperx[512].text |
目前我們可以提供給他們的我覺得是技術上他們非常不熟悉相關技術還有相關的成本他們到底要花出多少錢能夠得到多少效益他們也是沒有把握的所以我這邊想要拜託國發會跟經濟部可不可以協助他們在三個部分一個是專業的顧問服務第二個是經費補助第三個是我們有沒有機會協助他們產業升級創新發展讓他們持續在台灣這個島上做自己喜歡而且做自己擅長的中小企業這件事情不要被AI的浪潮甩在後面 |
transcript.whisperx[513].start |
13845.829 |
transcript.whisperx[513].end |
13872.455 |
transcript.whisperx[513].text |
謝謝委員的這個方向指導 謝謝所以你要不要多說一點就是我們會按照這樣的去做好 那我相信相關的政策我們日後會有機會再討論那國發會這邊呢剛剛在不同的委員的質詢當中你們提到有100億、100億、188億有非常多的經費都已經開始要動用下去了那在中小企業相關AI產業升級人才這些照顧上呢 |
transcript.whisperx[514].start |
13873.648 |
transcript.whisperx[514].end |
13892.873 |
transcript.whisperx[514].text |
這個部分我們也會來強化再跟委員回覆好,我們希望有沒有機會在一個月內我們跟國發會跟經濟部開啟相關會議跟討論有機會在一個月內嗎?一個月應該可以可以,國發會可以,那經濟部呢?可以好,可以,謝謝,謝謝主席,謝謝部長跟主委,謝謝好,謝謝接下來我們請林一錦委員請做詢問 |
transcript.whisperx[515].start |
13908.135 |
transcript.whisperx[515].end |
13916 |
transcript.whisperx[515].text |
謝謝主席 有請國發會劉主委、經濟部郭部長、國科會林副主委、教育部葉次長好 請以上四位 |
transcript.whisperx[516].start |
13920.762 |
transcript.whisperx[516].end |
13941.552 |
transcript.whisperx[516].text |
我們台灣需要民主AI的創新需要在AI的使用上牢記民主自由不歧視、不侵犯他人人格權的精神這是昨天卓榮泰院長在院會答詢的時候對我國AI發展期許的回答本席今天想在經濟委員會中強調我國在AI產業的發展除了產業聚落的群聚效應 |
transcript.whisperx[517].start |
13947.295 |
transcript.whisperx[517].end |
13976.073 |
transcript.whisperx[517].text |
以外以及技術持續的提升.我想必須要留意的就是開發者以及使用者的人文社科素養要發展以人為本的AI本席上週在教育委員會質詢國科會的時候就提醒國科會在Tide的生成式AI對話引擎的時候要避免歧視跟偏見的出現並且要在AI監管的法制作業上建立 |
transcript.whisperx[518].start |
13976.693 |
transcript.whisperx[518].end |
13995.062 |
transcript.whisperx[518].text |
好智慧財產權的完善保護.既然智慧財產權的業務是經濟部主管.那就要請問部長.AI生成的創作.在智慧財產權的保護上.有什麼需要法規補強的部分.或者說哪些情況.又不應該落入智慧財產權的保護的範疇呢.部長 |
transcript.whisperx[519].start |
13998.492 |
transcript.whisperx[519].end |
14024.193 |
transcript.whisperx[519].text |
這部分的話我想我們會研擬我目前是沒有收到這方面的關心所以我想我們會回去以後會來討論這件事情再給委員一個報告包括入納入智慧財產權法規的補強跟哪些範疇是不用的好那我想這幾週AI的旋風席捲了全台那不少委員都希望AI的產業園區能在各自委員的有 |
transcript.whisperx[520].start |
14024.893 |
transcript.whisperx[520].end |
14045.178 |
transcript.whisperx[520].text |
有擁有科學園區的城市裡頭在這裡我也想給予經濟部長跟國發會的主委一些建議目前擴建中的南科三期臺南市政府目前有發布新聞稿指出我們這個地方都市機能、交通建設、水電的供應都非常的充分、無虞 |
transcript.whisperx[521].start |
14045.618 |
transcript.whisperx[521].end |
14062.628 |
transcript.whisperx[521].text |
那台南市相關的上下游的產業垂直的產業的整合也非常完整具備半導體整個企業發展最好的利基所以台南市政府跟我們所有台南市民都歡迎半導體跟高科技的廠商來台南設廠所以請問經濟部長還有國發部的主委還有國科會的副主委南科三期的AI生態系這個建構是否可能那產業的AI化 |
transcript.whisperx[522].start |
14074.975 |
transcript.whisperx[522].end |
14094.184 |
transcript.whisperx[522].text |
可不可能在南科來加速實現?我想我們如果能夠把這些這個區域的環境打造成AI最佳的環境的話應該業者都會去就是說花若盛開蝴蝶自來 |
transcript.whisperx[523].start |
14095.53 |
transcript.whisperx[523].end |
14112.105 |
transcript.whisperx[523].text |
因為南科確實現在整個半導體產值已經超越竹科這個副主委應該非常清楚所以我想這部分再請多參照一下台南這塊沃土那我另外最後是想請教教育部 |
transcript.whisperx[524].start |
14113.206 |
transcript.whisperx[524].end |
14115.748 |
transcript.whisperx[524].text |
讓AI的開發者以及使用者具備相關的人文社科素養希望科學的發展快速之外AI的發展能兼顧人文社會關懷的基本素養 |
transcript.whisperx[525].start |
14132.099 |
transcript.whisperx[525].end |
14157.18 |
transcript.whisperx[525].text |
那未來教育現場會大量的使用AI那這也應該是個趨勢所以想要請教一下說有沒有把握在日新月異的這個AI發展的浪潮下我們可以推出相對應的教育政策提供正確的AI使用的這個教育同時卓友院長期待的民主AI的創新這個概念未來會不會融入在教育裡面那目前的規劃如何?次長 |
transcript.whisperx[526].start |
14158.155 |
transcript.whisperx[526].end |
14187.835 |
transcript.whisperx[526].text |
我想跟委員報告就是說這個我們目前其實都有在加強這個資訊素養跟倫理的課程我們想這件事是非常非常重要就是他在用科技的時候怎麼樣這些用科技要用在好的地方那另外其實在中小學這部分我們在8月底的時候會公布這個數位教學指引的2.0這裡面其實就會有談到就是說幫他數位的還有AI的這些很多這些關鍵的資訊素養數位素養這些孩子們應該要懂的然後老師要怎麼樣去教育小孩子 |
transcript.whisperx[527].start |
14189.276 |
transcript.whisperx[527].end |
14215.711 |
transcript.whisperx[527].text |
從小養成到一個正確的觀念他長大的時候再用這技術就不會歪掉最後一小題我們如何讓AI的人才留在學界而非在一窩蜂的湧進產業界因為學界如果人才有的話我們才能培育下一代所謂的人才培育所以請問次長你對於這部分一窩蜂要湧進產業界你有什麼解方嗎 |
transcript.whisperx[528].start |
14216.97 |
transcript.whisperx[528].end |
14242.003 |
transcript.whisperx[528].text |
我想這個大概就是還是要透過這個攬柴跟這個彈性心智那另外我想這個其實AI的這個師資的培育其實我想特別是在高教裡面的這些老師這其實也是我們未來可能透過這博士班這邊很多的一些力度下去讓更多的同學有志於學術的可以往這邊走這是我們也是現在在做的事情好 謝謝次長 謝謝主席 謝謝 |
transcript.whisperx[529].start |
14247.017 |
transcript.whisperx[529].end |
14252.081 |
transcript.whisperx[529].text |
謝謝接下來我們請羅明財委員羅明財羅明財委員不在現場我們請蔡育宇委員請做詢問好謝謝主席那我們是不是請國發會留主委好我們請主委 |
transcript.whisperx[530].start |
14276.837 |
transcript.whisperx[530].end |
14288.862 |
transcript.whisperx[530].text |
委員午安各位好 嗯 主委那因為今天這個議題是這個AI的議題那這幾個禮拜來大概整個台灣都是席選了這個AI的這個浪潮齁 |
transcript.whisperx[531].start |
14290.684 |
transcript.whisperx[531].end |
14310.072 |
transcript.whisperx[531].text |
事實上今天也是討論了包括針對AI的產業應用甚至人才培育講了很多我想先就教主委就AI的這個產業公部門部分有哪些是公部門可以開始來採用AI的技術 |
transcript.whisperx[532].start |
14312.391 |
transcript.whisperx[532].end |
14338.066 |
transcript.whisperx[532].text |
跟委員報告公部門很早就開始使用生成式AI做一些資料的分析整理跟查詢所以國科會也因為這樣它有因為它這也有安全跟效率兩個構面安全面國科會有提出了一個使用生成式AI的參考指引確保在資料上的安全那另外在政府的應用部分目前是速發部有一個智慧政府辦公室專門在做 |
transcript.whisperx[533].start |
14340.668 |
transcript.whisperx[533].end |
14363.405 |
transcript.whisperx[533].text |
這個整個公部門數位化的跟智慧化的部分就說公部門部分當然是用生成式AI嘛那這包括說未來很多公部門的一些政策的制定那甚至說一些包括說可能來立法院來做的最簡單的這樣的一些報告是不是都未來會用AI然後來做基礎的一些架構 |
transcript.whisperx[534].start |
14364.713 |
transcript.whisperx[534].end |
14380.088 |
transcript.whisperx[534].text |
是的 各單位就我的我們上次稍微大家聊了一下幾乎每個部會都在使用中每個單位都在使用然後速發部也特別政府特別成立了智慧政府辦公室專門在推動我們整個智慧政府的發展 |
transcript.whisperx[535].start |
14381.21 |
transcript.whisperx[535].end |
14397.268 |
transcript.whisperx[535].text |
所以現在公部門的教育訓練這一塊就是說大家都會使用嗎?還是說會用的人會用,不會的人就讓他們自己去學習?以本會而言,我們普遍都有全部都有上過課全部都有上過課,所以大家都大概會去使用 |
transcript.whisperx[536].start |
14397.748 |
transcript.whisperx[536].end |
14415.363 |
transcript.whisperx[536].text |
好那這第一個齁那第二個在就叫這個主委就是說因為這個是生成式AI嘛齁他主要還是所謂的生成式就是說必須他的生成要有他的未資料齁所謂的未資料那這部分會不會有涉及到政府的 |
transcript.whisperx[537].start |
14416.423 |
transcript.whisperx[537].end |
14442.874 |
transcript.whisperx[537].text |
這個機密的一些資訊外洩的一個問題那如何去預防謝謝委員 這裡面有兩個構面就像如同我前面講的當我們在查詢整理資料的時候怎麼樣做到安全國科會已經給了一個指引那第二個部分是就我了解國科會現在正在做一個AI基本法它的目的就希望做到主權AI讓台灣的資料能夠保存在台灣而不會被其他地方拿到 |
transcript.whisperx[538].start |
14444.174 |
transcript.whisperx[538].end |
14466.343 |
transcript.whisperx[538].text |
這個進一步說明當然我們可以請國科會來補充,但是就我了解目前政府很積極在做這個步驟那如果涉及到機密資料已經跑進去了呢?如果涉及到真的有一些屬於比較機密、機敏性的結果它已經在AI的基本資料裡面,但是你也沒辦法把它抽離啊那這部分你要怎麼樣去做未來的預防? |
transcript.whisperx[539].start |
14468.761 |
transcript.whisperx[539].end |
14482.218 |
transcript.whisperx[539].text |
這裡以政府目前現在是有在做資料治理的管控那這個資料治理管控是不會讓機密資料進去的所以一開始就必須一開始先管控好嗎我想這個應該也不只台灣啦全世界大概都 |
transcript.whisperx[540].start |
14482.939 |
transcript.whisperx[540].end |
14484 |
transcript.whisperx[540].text |
主權AI的確是目前台灣很重要的一件事情 |
transcript.whisperx[541].start |
14507.515 |
transcript.whisperx[541].end |
14521.832 |
transcript.whisperx[541].text |
在第三個再來就叫這個主委那當然是說台灣過去也有在發展類似台版的這個叫做CHAT、GDP的台版的叫做TIDE |
transcript.whisperx[542].start |
14523.137 |
transcript.whisperx[542].end |
14546.876 |
transcript.whisperx[542].text |
那這樣的一個泰德的這樣的一個他的跟確實比較不一樣是他比較靠台灣B啦他的使用的可能是以繁體中文然後可能比較有一些台灣的一些語言本土語言的一些特色那但是呢畢竟市場有限所以如果要打向國際的話他可能還要更多的 |
transcript.whisperx[543].start |
14547.517 |
transcript.whisperx[543].end |
14547.677 |
transcript.whisperx[543].text |
所以,未來, |
transcript.whisperx[544].start |
14555.707 |
transcript.whisperx[544].end |
14579.521 |
transcript.whisperx[544].text |
臺灣的政策會在這一個這一個開發自己的這個AI的軟體還是說因為畢竟現在黃仁勳他也是帶著臺灣的產業對不對所以還是我們就是說在這兩個抉擇上我們還是要發展自己的開發自己的軟體還是說就讓他順其自然業界本來這個業界本來就是強者很強如果 |
transcript.whisperx[545].start |
14581.642 |
transcript.whisperx[545].end |
14607.526 |
transcript.whisperx[545].text |
不夠強的話自然會被淘汰那這個國發會你們的具體的策略是怎樣這個部分我有整個看過TED的展示那的確台灣需要有自己的工具原因是他不論是用台語也好或者是用中文也好他所得到的資料的精準度都會比國外的產品好 |
transcript.whisperx[546].start |
14608.166 |
transcript.whisperx[546].end |
14623.158 |
transcript.whisperx[546].text |
那英文的部分國外本來就會有所以呢基本上它會兼具英文兼具中文兼具台語那它所能夠服務台灣人民的資料查詢的精準度我看到的展示都會比國外的來得好很多 |
transcript.whisperx[547].start |
14623.658 |
transcript.whisperx[547].end |
14639.336 |
transcript.whisperx[547].text |
那對服務國民、人民的一些政府服務也都可以做得會比較好一點所以泰德他的優勢就是說他比較本土化啦可能是我們的台語啦或是我們比較講的比較一些方言的東西他這一套軟體他是有辦法掌握的 |
transcript.whisperx[548].start |
14639.776 |
transcript.whisperx[548].end |
14668.047 |
transcript.whisperx[548].text |
但是它的掌握度總是在專業度上可能會不夠不會像其他的軟體它為的資料可能比較多而且比較多元可能會有這樣的問題那所以主委你的說法是說這一套軟體還是有它的優勢所以未來我們還是會扶持這一套軟體讓它繼續壯大嘍是就我了解國科會目前的做法是這樣好那除了除了扶持它之外可是我們要怎麼鼓勵大家使用 |
transcript.whisperx[549].start |
14669.512 |
transcript.whisperx[549].end |
14698.06 |
transcript.whisperx[549].text |
他現在等到他們應該是有一個發展進程接收之後他應該就會開始開放出來是不是我請國科會這邊來說明一下跟委員報告那基本上台德這個計畫原來是到4月底可是我們會把它延續到12月底就是讓台德他在這個資料的收集還有模型的訓練能夠各號台灣V然後明年開始我們會加強他的推廣跟應用 |
transcript.whisperx[550].start |
14698.84 |
transcript.whisperx[550].end |
14714.12 |
transcript.whisperx[550].text |
那目前來講我們這個調整後的那個model我們是會把新的版本都會公佈然後讓這個業界還有讓那個什麼我們講的公務機關都能夠下載然後它經過微調之後就可以來使用 |
transcript.whisperx[551].start |
14715.796 |
transcript.whisperx[551].end |
14742.356 |
transcript.whisperx[551].text |
就是說過去類似這樣的我想在幾年前就是說像那個LINE剛在興起的時候台灣也有一度說要去開發我們自己的通訊軟體那但是後來也是卡在市場因素整個市場大家就是都用LINE所以台灣的通訊軟體後來在當時也差不多無聲而起了所以我現在也開心你現在去開發這一套Tide但是 |
transcript.whisperx[552].start |
14745.718 |
transcript.whisperx[552].end |
14762.033 |
transcript.whisperx[552].text |
他的市場的優勢究竟在哪邊以及他這個市場優勢足以讓他未來是可以支撐在這個競爭的環境中這件事情我是問號的所以你若沒有講出一套你未來要怎麼去推廣去行銷我感覺起來我們這套軟體要怎麼跟 |
transcript.whisperx[553].start |
14765.47 |
transcript.whisperx[553].end |
14791.885 |
transcript.whisperx[553].text |
講白了要怎麼跟CHAT的GDP他們現在還不斷的在成長中我們要怎麼跟人家競爭啊這個有兩個部分喔它跟LINE比較不像喔這裡面其實對服務台灣人民我們整個是大人其實它需要用台語來服務或是客語來服務那所以呢它對於本土性的服務對於做智慧政府或者是廠商要做智慧醫療智慧零售都會有很好所以主委你的意思說我們的優勢就是說 |
transcript.whisperx[554].start |
14793.306 |
transcript.whisperx[554].end |
14808.671 |
transcript.whisperx[554].text |
他對於台語對於方言的適應度是更高的那將來辨別度也會比較好對東南亞市場的華人市場我們都還是可以進入那另外因為他的邏輯是一樣的他轉回到英文跟中文的時候在華人市場跟海外市場還是有機會做進展 |
transcript.whisperx[555].start |
14810.651 |
transcript.whisperx[555].end |
14829.843 |
transcript.whisperx[555].text |
所以它跟LINE會比較不太一樣當然我LINE只是一個舉例啦但是未必是類似的狀況但是我只要跟強調就是說我們既然要發展這一套軟體我們要怎麼把它的優勢發揮到我相信啊CHAT的GDP總有一天它的台語的功能也許會變強喔 |
transcript.whisperx[556].start |
14831.244 |
transcript.whisperx[556].end |
14841.937 |
transcript.whisperx[556].text |
哪一天他覺得這一塊有市場的時候,他就會在哪一塊強化?等他那一塊強化的時候,我們的優勢就會對得起所以我們既然要在這個軟體上要做競逐的話,我們一定要有一個我們要如何提供的一個重點,好不好? |
transcript.whisperx[557].start |
14850.266 |
transcript.whisperx[557].end |
14865.953 |
transcript.whisperx[557].text |
我認為這可以再研究看看我是給你們鼓勵啦但是我也知道說台灣以我們的市場我們要開發出足以支撐然後讓它能夠賺錢的軟體那是很困難的我也是在你們鼓勵啦好 謝謝好 謝謝接下來我們請羅志祥委員請做詢答 謝謝 |
transcript.whisperx[558].start |
14885.99 |
transcript.whisperx[558].end |
14888.816 |
transcript.whisperx[558].text |
主席有請郭部長我們再請郭部長部長好委員好 |
transcript.whisperx[559].start |
14897.116 |
transcript.whisperx[559].end |
14921.713 |
transcript.whisperx[559].text |
最近台灣因為輝達的執行長黃仁勛AMD的執行長蘇之鋒先後訪問然後黃仁勛說要輝達在5年內在台灣要興建大型的設計公司至少要僱用1000名工程師那當然各地方政府爭相邀請那我這邊倒不是在跟你討論他們落腳何處而是事實上落腳台灣之後 |
transcript.whisperx[560].start |
14922.634 |
transcript.whisperx[560].end |
14928.534 |
transcript.whisperx[560].text |
我們能否給輝達或超為足夠的一個我們講發展的環境有沒有信心 |
transcript.whisperx[561].start |
14929.737 |
transcript.whisperx[561].end |
14953.812 |
transcript.whisperx[561].text |
在這部分的話因為輝達要來他想說他要招聘一千位工程師我們是比較擔心我們這樣會不會把我們台灣的人才給大量用走那起這個連鎖效應所以我有後來剛開始是講說10個person他們要帶10person的engineer進來 |
transcript.whisperx[562].start |
14954.753 |
transcript.whisperx[562].end |
14978.632 |
transcript.whisperx[562].text |
但是我到經濟部服務以後,我跟輝達,我有直接要求他要提升到50%所以基本上你也會擔心產生人才排擠,工程師的部分所以你要求是要50%的那個比例那我想請教除了說人才的concern之外的話,你對他們的用電的部分你有信心嗎? |
transcript.whisperx[563].start |
14979.383 |
transcript.whisperx[563].end |
15008.317 |
transcript.whisperx[563].text |
用電的部分因為他不會一開始就用這很高的電那我們當然是根據他的這個計畫我們來盤點我們自己的這個準備那跟委員報告到目前為止到2030年的這樣的一個規劃我們是有信心的好 非常謝謝部長的信心齁其實我談的也不是回答的個案啦因為將來部長也是希望能夠來我們AI是未來一個發展重心嘛 |
transcript.whisperx[564].start |
15008.797 |
transcript.whisperx[564].end |
15033.812 |
transcript.whisperx[564].text |
但大家全世界都知道說AI其實是個耗電的產業對不對可是我們剛好又看到就是說外媒對台灣有一個嚴重的示警認為我們電力短缺而且動輒缺水那美國的財經媒體CNBC說過去七年時間台灣發生了三次規模較大的停電那過去一年則有一系列小規模的停電 |
transcript.whisperx[565].start |
15034.733 |
transcript.whisperx[565].end |
15055.977 |
transcript.whisperx[565].text |
北台灣近年4月更在3天內發生停電多起的事件﹐那台灣有97%的能源依賴進口﹐那主要是煤炭跟天然氣﹐很容易使得台灣受到能源供應中斷的影響我覺得﹐請問一下你覺得這個﹐國外的財經媒體對這樣的一個產業的擔心﹐是不是其來有據呢? |
transcript.whisperx[566].start |
15057.388 |
transcript.whisperx[566].end |
15065.939 |
transcript.whisperx[566].text |
國外的媒體擔心如果台灣缺電的話會造成世界經濟上的問題我在這邊要跟委員報告根據我們現在的盤點我們是不會缺電 |
transcript.whisperx[567].start |
15073.669 |
transcript.whisperx[567].end |
15092.179 |
transcript.whisperx[567].text |
可是我們上次有跟部長在詢答過你也坦承嘛停電的狀況實質上也讓民眾非常不安嘛對不對因為現在政府其實一直否認缺電啦但是我也慢慢懂大家的邏輯因為缺不缺齁是你的判斷問題但對人民來講我家有停電跟沒停電就是 |
transcript.whisperx[568].start |
15093.7 |
transcript.whisperx[568].end |
15119.254 |
transcript.whisperx[568].text |
一分為二的問題嘛 對不對可是現在也確實從數據來看的話我們停電的狀況變得當然你也可能是電網的問題所以我們要強韌電網嘛 對不對但有一部分是不是因為這供電上的一個不足造成說今天配電上的一些其他問題當然也有人有這些疑慮啦可是不管怎麼樣講現在連國際媒體看到都是停電增加跟停電平衡的這個事情 |
transcript.whisperx[569].start |
15120.214 |
transcript.whisperx[569].end |
15131.454 |
transcript.whisperx[569].text |
你原因不歸為缺電你要歸為電網也好但停電就是最鐵針針的狀況啊那我想請問部長你怎麼去消滅外資或是其他的廠商對這樣的疑慮呢 |
transcript.whisperx[570].start |
15133.055 |
transcript.whisperx[570].end |
15150.205 |
transcript.whisperx[570].text |
我們談點電的容量是夠的但是委員你所指導的這一部分我們電網的韌性我們會快速的來修改就是說有比較weak的地方我最後做一個簡單的結論其實電網的韌性我們已經談了很多年了 |
transcript.whisperx[571].start |
15153.769 |
transcript.whisperx[571].end |
15174.464 |
transcript.whisperx[571].text |
但如果交出的成績單是這樣子的話你也不要怪國際媒體懷疑我們其實是不是缺電造成的所以這個我想部長因為您才剛上來希望不只在所謂供電無虞不缺電的問題上電網韌性上總而言之我們要追求一個結果就是至少停電不能比以前嚴重嘛是不是是的好我們一起努力好不好謝謝部長好謝謝謝謝委員好謝謝 |
transcript.whisperx[572].start |
15181.405 |
transcript.whisperx[572].end |
15201.702 |
transcript.whisperx[572].text |
接下來我們請盧君委員請做詢問好 謝謝主席 大家都辛苦了有請經濟部部長、國發會主委、國科會林法政副主委備詢好 我們請以上三位 |
transcript.whisperx[573].start |
15208.191 |
transcript.whisperx[573].end |
15228.523 |
transcript.whisperx[573].text |
謝謝也都辛苦了昨天本席在總質詢的時候有提到AI人型機器人的議題院長說政府都有在做那今天剛好經濟部、國發會、國科會都在這裡想請教您三個部會誰在主導國家的AI人型機器人Humanoid的政策三個部會是不是都有相關的計畫 |
transcript.whisperx[574].start |
15232.226 |
transcript.whisperx[574].end |
15250.613 |
transcript.whisperx[574].text |
我看到有人在這個很誠實的搖頭我覺得這是很好的不然的話早上說A下午變成B也不好有關計劃的話我想還是給各位一點時間去搜羅一下也許有可能比較小規模怎麼樣能不能在今天下班前將資料提供給本席 |
transcript.whisperx[575].start |
15251.977 |
transcript.whisperx[575].end |
15272.793 |
transcript.whisperx[575].text |
就有的話就提供沒有的話我們就知道沒有也沒有關係那機器人裡頭也很多軟體包括像是對話因為你要跟機器人講話眼睛機器人的眼睛要能夠看得懂這個世界同時也可能有新的IC需要被設計所以今天有媒體報導指出產業創新條例第十之二條的租稅抵減 |
transcript.whisperx[576].start |
15273.553 |
transcript.whisperx[576].end |
15289.306 |
transcript.whisperx[576].text |
吃硬不吃軟 優惠硬體生產廠 獨露IC設計業過去本席在質詢AI和晶片產業創新的議題的時候一直都在講四個字軟硬兼施隨著全球IC設計的產業競爭激烈 |
transcript.whisperx[577].start |
15291.027 |
transcript.whisperx[577].end |
15313.271 |
transcript.whisperx[577].text |
同時生成式AI也可能導入到IC設計的行業裡頭我們有沒有可能由政府單位在租稅優惠上擴大範圍來幫助台廠的IC設計業甚至更多的AI或機器人或人型機器人的軟體業拉高研發的動能?國務部長、劉主委你們覺得廠商的建議合理嗎?國際趨勢是否將軟體研發的經費也納入稅務優惠的範圍? |
transcript.whisperx[578].start |
15318.412 |
transcript.whisperx[578].end |
15337.363 |
transcript.whisperx[578].text |
報告委員,這個早上的這個吃軟不吃硬這個它沒有達到我們的標準它沒有達到標準不是我們沒有,我們的產創條例是有的不過您的這個指導我在想說我們可以在為了將來的這整個IC業的這個設計業的發展 |
transcript.whisperx[579].start |
15341.505 |
transcript.whisperx[579].end |
15361.081 |
transcript.whisperx[579].text |
我們可以再來討論一下那個條件放寬一下其實就怕搞錯所以我後面直接就附了第12條真的是有一點吃硬不吃軟但沒有關係我們都一起來評估目前這個競爭很激烈希望請經濟部和國發會共同研議一個月內能不能提供本席的書面報告關於這個部分 |
transcript.whisperx[580].start |
15363.562 |
transcript.whisperx[580].end |
15381.878 |
transcript.whisperx[580].text |
報告委員可以好謝謝謝謝國發會在今天的報告當中也提到定標AI國際頂尖人才開展全球劣才計劃昨天這個院長我早上質詢完說美國白宮這個每一個部會都要有AI人才下午院長就說部部有AI |
transcript.whisperx[581].start |
15382.879 |
transcript.whisperx[581].end |
15406.819 |
transcript.whisperx[581].text |
那我想我們的就業金卡還有人才AI人才不足我們希望能夠往外部往內就是從外部往內來往羅那我們一直在外流我們希望可以有入超所以半導體AI的產業演進快速人才的需求迫在眉睫現在就業金卡顯然不足能不能請教國發會留主委除了就業金卡以外我們能否研議新增條件較為彈性的AI就業銀卡 |
transcript.whisperx[582].start |
15410.082 |
transcript.whisperx[582].end |
15413.427 |
transcript.whisperx[582].text |
擴大對全球攬AI人才的機制 |
transcript.whisperx[583].start |
15415.219 |
transcript.whisperx[583].end |
15442.218 |
transcript.whisperx[583].text |
跟委員報告我們目前是因為現在是人才戰爭那它不僅僅是AI數位人才也很缺所以呢我們現在是要準備正在我們現在找了6個國家做比較我們準備全面把它放寬太好了我們今天也太感動了不是只有AI因為各個地方的人才我們都需要吸引進來軟硬兼施好不好然後呢這個AI的產業因為既然都已經AI內閣我覺得稍微重視一下也不為過啦最後針對能源議題郭部長 |
transcript.whisperx[584].start |
15444.099 |
transcript.whisperx[584].end |
15470.465 |
transcript.whisperx[584].text |
本席知道您這段時間內也許內心有一定的掙扎、煎熬或評估我昨天本來要問你但時間有點衝觸今天有沒有更新說法因為過去這個我想這都不是大家的本意因為科學、事實、理性就擺在眼前那我想在此能不能爭取主席給我一點時間那我給郭部長一點時間能不能表達一下您現在對於核電廠演藝的看法 |
transcript.whisperx[585].start |
15471.837 |
transcript.whisperx[585].end |
15485.706 |
transcript.whisperx[585].text |
核電廠我的看法都沒有改變以現在的法規定我沒有辦法討論除去這個法以外就核電的部分我想它還是沒有辦法滿足綠電的需求 |
transcript.whisperx[586].start |
15489.005 |
transcript.whisperx[586].end |
15516.152 |
transcript.whisperx[586].text |
那如果說就其他的這個討論我想這個我們要討論這個核酸的核酸或者核二這些問題都不是在我們可以討論的範圍之內所以這一點我們會關注這個新的核能新的核電的這個發展因為美國我想美國日本這些先進國家他們也都在關注這些議題我們當然也是關注這個議題但是以目前來講 |
transcript.whisperx[587].start |
15517.392 |
transcript.whisperx[587].end |
15534.288 |
transcript.whisperx[587].text |
我們現在的畢竟還是核廢料是非常大的處理的問題那這個安全上面我們確實目前是沒有辦法而且運作了40年它必須要下來下來以後再重新再檢討檢討它確實沒有問題了我們才來考慮現在這個都不是在議題裡面 |
transcript.whisperx[588].start |
15538.772 |
transcript.whisperx[588].end |
15553.425 |
transcript.whisperx[588].text |
非常抱歉謝謝部長您的回應我覺得還是相對客觀那我們也會持續的來交流核電的研議其實除了法規的修正我們希望行政院可以提出之外研議其實也是需要時間需要機組的整修這些其實是可以評估的 |
transcript.whisperx[589].start |
15556.628 |
transcript.whisperx[589].end |
15579.693 |
transcript.whisperx[589].text |
而不是說我們有委員在這邊質詢結果就說目前為止有電那這樣以後我們只要燈還亮著我們是不是就不用質詢核電的議題其實不是這樣所以能源政策非常務實客觀那您昨天院長也有提到這個基本法有這個限制什麼時候突然我們的院長又對我們的這個法令對我們大院這個出台的法案又這麼的尊重我今天才從剛剛才從程序委員會用衝的衝過來我們就在處理複議案我們很尊重他的複議案 |
transcript.whisperx[590].start |
15584.714 |
transcript.whisperx[590].end |
15606.825 |
transcript.whisperx[590].text |
但是我們立出來的法令結果變成這樣所以我想能源政策很科學客觀希望半導體和AI產業的未來提高了能源需求能不能請經濟部具體提出近5年因為半導體行業可能還會倍數增長我們講的是年增3%很可能都還是低估能不能提出近5年具備可行性的電力規劃讓產業安心好的 可以謝謝 謝謝部長好 謝謝 |
transcript.whisperx[591].start |
15616.091 |
transcript.whisperx[591].end |
15635.544 |
transcript.whisperx[591].text |
謝謝接下來我們請羅庭惠委員、羅庭惠委員不在現場我們請林楚英委員、林楚英、林楚英委員不在現場請陳冠廷委員、陳冠廷、陳冠廷委員請洪孟楷委員、洪孟楷、洪孟楷委員請莊瑞雄委員、莊瑞雄、莊瑞雄委員 |
transcript.whisperx[592].start |
15642.947 |
transcript.whisperx[592].end |
15663.582 |
transcript.whisperx[592].text |
我們現在登記發言的委員除了不在場之外其餘都已經發言完畢那詢談結束我們有莊瑞雄委員以及陳冠廷委員所提書面質詢請列入記錄刊登公報那書面質詢以及位置答覆的部分請於相關單位於一週以內以書面答覆並複製本委員會 |
transcript.whisperx[593].start |
15665.984 |
transcript.whisperx[593].end |
15681.264 |
transcript.whisperx[593].text |
今天要特別感謝我們所有列席的官員因為這是一個產業的革命所以我們透過這樣的一個交流一個互相的了解我們希望這只是開端也給行政部門一點時間好好去盤點包括 |
transcript.whisperx[594].start |
15683.907 |
transcript.whisperx[594].end |
15711.045 |
transcript.whisperx[594].text |
未來我們的方向走向但是有一點也就是希望國發會這邊因為其他的國家我們在跟進的時候人家量體都500到1000了如果我們未來的設定只有200那我們不知道以後怎麼應對所以我們也希望將實際國際的情況呢在國發會所handle的這個相關部會給行政院報告我們不要未來到最後人家都已經1000了我們設定了3年4年之後才200 |
transcript.whisperx[595].start |
15711.946 |
transcript.whisperx[595].end |
15733.697 |
transcript.whisperx[595].text |
那我想跟我們的國際要接軌是有困難的所以這一點也特別請國防會以及經濟部等相關單位也據實的給行政院來說明來重新規劃我想唯一的我們的目標就是大家團結一致讓台灣能夠在世界能夠發光所以我們今天 |
transcript.whisperx[596].start |
15737.233 |
transcript.whisperx[596].end |
15741.52 |
transcript.whisperx[596].text |
我們本日的議程處理完畢明天星期四繼續開會現在休息 |
transcript.whisperx[597].start |
15745.097 |
transcript.whisperx[597].end |
15748.719 |
transcript.whisperx[597].text |
好 我們的議事主任也辛苦了辛苦 辛苦 辛苦 辛苦 |
transcript.whisperx[598].start |
15774.997 |
transcript.whisperx[598].end |
15777.058 |
transcript.whisperx[598].text |
全體委員會主任委員會主任委員會主任 |