IVOD_ID |
16509 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Full/1M/16509 |
日期 |
2025-03-13 |
會議資料.會議代碼 |
委員會-11-3-20-2 |
會議資料.會議代碼:str |
第11屆第3會期財政委員會第2次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
2 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
20 |
會議資料.委員會代碼:str[0] |
財政委員會 |
會議資料.標題 |
第11屆第3會期財政委員會第2次全體委員會議 |
影片種類 |
Full |
開始時間 |
2025-03-13T08:31:23+08:00 |
結束時間 |
2025-03-13T12:28:00+08:00 |
影片長度 |
03:56:37 |
支援功能[0] |
ai-transcript |
video_url |
https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/b41997f390c3528e6d254b92567b84ce521c71e7043aa1ac7a524d1b3d409a1a30bc26677d1de0945ea18f28b6918d91.mp4/playlist.m3u8 |
會議時間 |
2025-03-13T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期財政委員會第2次全體委員會議(事由:邀請中央銀行楊總裁金龍率所屬單位主管暨財金資訊股份有限公司董事長列席業務報告,並備質詢。) |
委員名稱 |
完整會議 |
委員發言時間 |
08:31:23 - 12:28:00 |
transcript.pyannote[0].speaker |
SPEAKER_20 |
transcript.pyannote[0].start |
1880.66534375 |
transcript.pyannote[0].end |
1882.94346875 |
transcript.pyannote[1].speaker |
SPEAKER_20 |
transcript.pyannote[1].start |
1883.46659375 |
transcript.pyannote[1].end |
1887.33096875 |
transcript.pyannote[2].speaker |
SPEAKER_20 |
transcript.pyannote[2].start |
1887.65159375 |
transcript.pyannote[2].end |
1888.96784375 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
1888.96784375 |
transcript.pyannote[3].end |
1889.94659375 |
transcript.pyannote[4].speaker |
SPEAKER_20 |
transcript.pyannote[4].start |
1889.94659375 |
transcript.pyannote[4].end |
1889.96346875 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
1889.96346875 |
transcript.pyannote[5].end |
1890.03096875 |
transcript.pyannote[6].speaker |
SPEAKER_20 |
transcript.pyannote[6].start |
1890.03096875 |
transcript.pyannote[6].end |
1890.31784375 |
transcript.pyannote[7].speaker |
SPEAKER_20 |
transcript.pyannote[7].start |
1891.54971875 |
transcript.pyannote[7].end |
1893.97971875 |
transcript.pyannote[8].speaker |
SPEAKER_20 |
transcript.pyannote[8].start |
1894.21596875 |
transcript.pyannote[8].end |
1898.65409375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
1900.03784375 |
transcript.pyannote[9].end |
1909.26846875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
1909.47096875 |
transcript.pyannote[10].end |
1913.97659375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
1914.21284375 |
transcript.pyannote[11].end |
1916.11971875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
1916.42346875 |
transcript.pyannote[12].end |
1917.53721875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
1917.90846875 |
transcript.pyannote[13].end |
1922.07659375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
1922.36346875 |
transcript.pyannote[14].end |
1927.17284375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
1927.45971875 |
transcript.pyannote[15].end |
1928.62409375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
1928.91096875 |
transcript.pyannote[16].end |
1931.79659375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
1932.38721875 |
transcript.pyannote[17].end |
1938.74909375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
1939.05284375 |
transcript.pyannote[18].end |
1942.81596875 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
1943.10284375 |
transcript.pyannote[19].end |
1947.16971875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
1947.81096875 |
transcript.pyannote[20].end |
1954.93221875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
1954.98284375 |
transcript.pyannote[21].end |
1956.29909375 |
transcript.pyannote[22].speaker |
SPEAKER_20 |
transcript.pyannote[22].start |
1957.32846875 |
transcript.pyannote[22].end |
1958.72909375 |
transcript.pyannote[23].speaker |
SPEAKER_20 |
transcript.pyannote[23].start |
1959.28596875 |
transcript.pyannote[23].end |
1963.33596875 |
transcript.pyannote[24].speaker |
SPEAKER_20 |
transcript.pyannote[24].start |
1963.87596875 |
transcript.pyannote[24].end |
1971.28409375 |
transcript.pyannote[25].speaker |
SPEAKER_20 |
transcript.pyannote[25].start |
1972.44846875 |
transcript.pyannote[25].end |
1974.77721875 |
transcript.pyannote[26].speaker |
SPEAKER_20 |
transcript.pyannote[26].start |
1975.38471875 |
transcript.pyannote[26].end |
1978.08471875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
1979.51909375 |
transcript.pyannote[27].end |
1988.47971875 |
transcript.pyannote[28].speaker |
SPEAKER_20 |
transcript.pyannote[28].start |
1989.89721875 |
transcript.pyannote[28].end |
1992.10784375 |
transcript.pyannote[29].speaker |
SPEAKER_20 |
transcript.pyannote[29].start |
1992.58034375 |
transcript.pyannote[29].end |
1996.37721875 |
transcript.pyannote[30].speaker |
SPEAKER_20 |
transcript.pyannote[30].start |
1996.66409375 |
transcript.pyannote[30].end |
1999.83659375 |
transcript.pyannote[31].speaker |
SPEAKER_23 |
transcript.pyannote[31].start |
2011.12596875 |
transcript.pyannote[31].end |
2019.14159375 |
transcript.pyannote[32].speaker |
SPEAKER_23 |
transcript.pyannote[32].start |
2019.78284375 |
transcript.pyannote[32].end |
2020.82909375 |
transcript.pyannote[33].speaker |
SPEAKER_23 |
transcript.pyannote[33].start |
2024.57534375 |
transcript.pyannote[33].end |
2024.92971875 |
transcript.pyannote[34].speaker |
SPEAKER_23 |
transcript.pyannote[34].start |
2025.73971875 |
transcript.pyannote[34].end |
2065.53096875 |
transcript.pyannote[35].speaker |
SPEAKER_23 |
transcript.pyannote[35].start |
2066.25659375 |
transcript.pyannote[35].end |
2069.81721875 |
transcript.pyannote[36].speaker |
SPEAKER_23 |
transcript.pyannote[36].start |
2070.07034375 |
transcript.pyannote[36].end |
2071.50471875 |
transcript.pyannote[37].speaker |
SPEAKER_23 |
transcript.pyannote[37].start |
2071.89284375 |
transcript.pyannote[37].end |
2073.71534375 |
transcript.pyannote[38].speaker |
SPEAKER_23 |
transcript.pyannote[38].start |
2074.44096875 |
transcript.pyannote[38].end |
2084.46471875 |
transcript.pyannote[39].speaker |
SPEAKER_23 |
transcript.pyannote[39].start |
2085.22409375 |
transcript.pyannote[39].end |
2088.04221875 |
transcript.pyannote[40].speaker |
SPEAKER_23 |
transcript.pyannote[40].start |
2088.58221875 |
transcript.pyannote[40].end |
2095.90596875 |
transcript.pyannote[41].speaker |
SPEAKER_23 |
transcript.pyannote[41].start |
2095.97346875 |
transcript.pyannote[41].end |
2106.03096875 |
transcript.pyannote[42].speaker |
SPEAKER_23 |
transcript.pyannote[42].start |
2106.53721875 |
transcript.pyannote[42].end |
2107.19534375 |
transcript.pyannote[43].speaker |
SPEAKER_23 |
transcript.pyannote[43].start |
2107.65096875 |
transcript.pyannote[43].end |
2108.03909375 |
transcript.pyannote[44].speaker |
SPEAKER_23 |
transcript.pyannote[44].start |
2108.20784375 |
transcript.pyannote[44].end |
2114.82284375 |
transcript.pyannote[45].speaker |
SPEAKER_23 |
transcript.pyannote[45].start |
2115.43034375 |
transcript.pyannote[45].end |
2116.52721875 |
transcript.pyannote[46].speaker |
SPEAKER_23 |
transcript.pyannote[46].start |
2116.79721875 |
transcript.pyannote[46].end |
2158.34346875 |
transcript.pyannote[47].speaker |
SPEAKER_23 |
transcript.pyannote[47].start |
2158.71471875 |
transcript.pyannote[47].end |
2167.82721875 |
transcript.pyannote[48].speaker |
SPEAKER_23 |
transcript.pyannote[48].start |
2168.73846875 |
transcript.pyannote[48].end |
2189.81534375 |
transcript.pyannote[49].speaker |
SPEAKER_23 |
transcript.pyannote[49].start |
2190.54096875 |
transcript.pyannote[49].end |
2201.35784375 |
transcript.pyannote[50].speaker |
SPEAKER_23 |
transcript.pyannote[50].start |
2201.71221875 |
transcript.pyannote[50].end |
2204.02409375 |
transcript.pyannote[51].speaker |
SPEAKER_23 |
transcript.pyannote[51].start |
2204.59784375 |
transcript.pyannote[51].end |
2210.14971875 |
transcript.pyannote[52].speaker |
SPEAKER_23 |
transcript.pyannote[52].start |
2211.07784375 |
transcript.pyannote[52].end |
2218.85721875 |
transcript.pyannote[53].speaker |
SPEAKER_23 |
transcript.pyannote[53].start |
2219.48159375 |
transcript.pyannote[53].end |
2219.83596875 |
transcript.pyannote[54].speaker |
SPEAKER_23 |
transcript.pyannote[54].start |
2220.73034375 |
transcript.pyannote[54].end |
2229.87659375 |
transcript.pyannote[55].speaker |
SPEAKER_23 |
transcript.pyannote[55].start |
2232.45846875 |
transcript.pyannote[55].end |
2232.93096875 |
transcript.pyannote[56].speaker |
SPEAKER_23 |
transcript.pyannote[56].start |
2233.72409375 |
transcript.pyannote[56].end |
2256.57284375 |
transcript.pyannote[57].speaker |
SPEAKER_23 |
transcript.pyannote[57].start |
2256.85971875 |
transcript.pyannote[57].end |
2290.03596875 |
transcript.pyannote[58].speaker |
SPEAKER_23 |
transcript.pyannote[58].start |
2292.39846875 |
transcript.pyannote[58].end |
2298.72659375 |
transcript.pyannote[59].speaker |
SPEAKER_23 |
transcript.pyannote[59].start |
2299.30034375 |
transcript.pyannote[59].end |
2302.37159375 |
transcript.pyannote[60].speaker |
SPEAKER_23 |
transcript.pyannote[60].start |
2303.43471875 |
transcript.pyannote[60].end |
2304.86909375 |
transcript.pyannote[61].speaker |
SPEAKER_23 |
transcript.pyannote[61].start |
2306.40471875 |
transcript.pyannote[61].end |
2306.75909375 |
transcript.pyannote[62].speaker |
SPEAKER_23 |
transcript.pyannote[62].start |
2307.65346875 |
transcript.pyannote[62].end |
2307.92346875 |
transcript.pyannote[63].speaker |
SPEAKER_23 |
transcript.pyannote[63].start |
2308.22721875 |
transcript.pyannote[63].end |
2316.52971875 |
transcript.pyannote[64].speaker |
SPEAKER_23 |
transcript.pyannote[64].start |
2316.88409375 |
transcript.pyannote[64].end |
2324.00534375 |
transcript.pyannote[65].speaker |
SPEAKER_23 |
transcript.pyannote[65].start |
2324.27534375 |
transcript.pyannote[65].end |
2329.94534375 |
transcript.pyannote[66].speaker |
SPEAKER_23 |
transcript.pyannote[66].start |
2330.82284375 |
transcript.pyannote[66].end |
2331.21096875 |
transcript.pyannote[67].speaker |
SPEAKER_23 |
transcript.pyannote[67].start |
2332.18971875 |
transcript.pyannote[67].end |
2333.16846875 |
transcript.pyannote[68].speaker |
SPEAKER_23 |
transcript.pyannote[68].start |
2333.92784375 |
transcript.pyannote[68].end |
2334.40034375 |
transcript.pyannote[69].speaker |
SPEAKER_23 |
transcript.pyannote[69].start |
2336.10471875 |
transcript.pyannote[69].end |
2345.33534375 |
transcript.pyannote[70].speaker |
SPEAKER_23 |
transcript.pyannote[70].start |
2345.90909375 |
transcript.pyannote[70].end |
2382.56159375 |
transcript.pyannote[71].speaker |
SPEAKER_23 |
transcript.pyannote[71].start |
2383.38846875 |
transcript.pyannote[71].end |
2384.72159375 |
transcript.pyannote[72].speaker |
SPEAKER_23 |
transcript.pyannote[72].start |
2385.51471875 |
transcript.pyannote[72].end |
2393.24346875 |
transcript.pyannote[73].speaker |
SPEAKER_23 |
transcript.pyannote[73].start |
2393.71596875 |
transcript.pyannote[73].end |
2404.46534375 |
transcript.pyannote[74].speaker |
SPEAKER_23 |
transcript.pyannote[74].start |
2405.37659375 |
transcript.pyannote[74].end |
2432.17409375 |
transcript.pyannote[75].speaker |
SPEAKER_23 |
transcript.pyannote[75].start |
2433.08534375 |
transcript.pyannote[75].end |
2434.19909375 |
transcript.pyannote[76].speaker |
SPEAKER_23 |
transcript.pyannote[76].start |
2436.49409375 |
transcript.pyannote[76].end |
2445.87659375 |
transcript.pyannote[77].speaker |
SPEAKER_23 |
transcript.pyannote[77].start |
2446.82159375 |
transcript.pyannote[77].end |
2473.04534375 |
transcript.pyannote[78].speaker |
SPEAKER_23 |
transcript.pyannote[78].start |
2474.42909375 |
transcript.pyannote[78].end |
2479.82909375 |
transcript.pyannote[79].speaker |
SPEAKER_23 |
transcript.pyannote[79].start |
2480.13284375 |
transcript.pyannote[79].end |
2480.77409375 |
transcript.pyannote[80].speaker |
SPEAKER_23 |
transcript.pyannote[80].start |
2481.06096875 |
transcript.pyannote[80].end |
2483.05221875 |
transcript.pyannote[81].speaker |
SPEAKER_23 |
transcript.pyannote[81].start |
2483.27159375 |
transcript.pyannote[81].end |
2490.03846875 |
transcript.pyannote[82].speaker |
SPEAKER_23 |
transcript.pyannote[82].start |
2490.51096875 |
transcript.pyannote[82].end |
2508.49971875 |
transcript.pyannote[83].speaker |
SPEAKER_23 |
transcript.pyannote[83].start |
2508.75284375 |
transcript.pyannote[83].end |
2512.60034375 |
transcript.pyannote[84].speaker |
SPEAKER_23 |
transcript.pyannote[84].start |
2512.70159375 |
transcript.pyannote[84].end |
2524.69971875 |
transcript.pyannote[85].speaker |
SPEAKER_20 |
transcript.pyannote[85].start |
2528.93534375 |
transcript.pyannote[85].end |
2531.34846875 |
transcript.pyannote[86].speaker |
SPEAKER_20 |
transcript.pyannote[86].start |
2531.80409375 |
transcript.pyannote[86].end |
2533.84596875 |
transcript.pyannote[87].speaker |
SPEAKER_20 |
transcript.pyannote[87].start |
2534.36909375 |
transcript.pyannote[87].end |
2535.98909375 |
transcript.pyannote[88].speaker |
SPEAKER_20 |
transcript.pyannote[88].start |
2536.46159375 |
transcript.pyannote[88].end |
2537.69346875 |
transcript.pyannote[89].speaker |
SPEAKER_20 |
transcript.pyannote[89].start |
2538.19971875 |
transcript.pyannote[89].end |
2539.38096875 |
transcript.pyannote[90].speaker |
SPEAKER_20 |
transcript.pyannote[90].start |
2541.06846875 |
transcript.pyannote[90].end |
2543.17784375 |
transcript.pyannote[91].speaker |
SPEAKER_20 |
transcript.pyannote[91].start |
2545.57409375 |
transcript.pyannote[91].end |
2548.81409375 |
transcript.pyannote[92].speaker |
SPEAKER_20 |
transcript.pyannote[92].start |
2549.59034375 |
transcript.pyannote[92].end |
2552.25659375 |
transcript.pyannote[93].speaker |
SPEAKER_20 |
transcript.pyannote[93].start |
2553.53909375 |
transcript.pyannote[93].end |
2555.56409375 |
transcript.pyannote[94].speaker |
SPEAKER_20 |
transcript.pyannote[94].start |
2556.61034375 |
transcript.pyannote[94].end |
2558.90534375 |
transcript.pyannote[95].speaker |
SPEAKER_20 |
transcript.pyannote[95].start |
2559.58034375 |
transcript.pyannote[95].end |
2562.02721875 |
transcript.pyannote[96].speaker |
SPEAKER_20 |
transcript.pyannote[96].start |
2563.09034375 |
transcript.pyannote[96].end |
2565.31784375 |
transcript.pyannote[97].speaker |
SPEAKER_20 |
transcript.pyannote[97].start |
2565.57096875 |
transcript.pyannote[97].end |
2566.61721875 |
transcript.pyannote[98].speaker |
SPEAKER_20 |
transcript.pyannote[98].start |
2567.56221875 |
transcript.pyannote[98].end |
2569.16534375 |
transcript.pyannote[99].speaker |
SPEAKER_20 |
transcript.pyannote[99].start |
2569.70534375 |
transcript.pyannote[99].end |
2570.48159375 |
transcript.pyannote[100].speaker |
SPEAKER_20 |
transcript.pyannote[100].start |
2571.35909375 |
transcript.pyannote[100].end |
2573.23221875 |
transcript.pyannote[101].speaker |
SPEAKER_20 |
transcript.pyannote[101].start |
2574.36284375 |
transcript.pyannote[101].end |
2576.03346875 |
transcript.pyannote[102].speaker |
SPEAKER_20 |
transcript.pyannote[102].start |
2576.50596875 |
transcript.pyannote[102].end |
2577.29909375 |
transcript.pyannote[103].speaker |
SPEAKER_20 |
transcript.pyannote[103].start |
2578.05846875 |
transcript.pyannote[103].end |
2579.39159375 |
transcript.pyannote[104].speaker |
SPEAKER_20 |
transcript.pyannote[104].start |
2579.84721875 |
transcript.pyannote[104].end |
2580.89346875 |
transcript.pyannote[105].speaker |
SPEAKER_20 |
transcript.pyannote[105].start |
2581.97346875 |
transcript.pyannote[105].end |
2583.71159375 |
transcript.pyannote[106].speaker |
SPEAKER_20 |
transcript.pyannote[106].start |
2584.33596875 |
transcript.pyannote[106].end |
2586.42846875 |
transcript.pyannote[107].speaker |
SPEAKER_20 |
transcript.pyannote[107].start |
2587.10346875 |
transcript.pyannote[107].end |
2588.84159375 |
transcript.pyannote[108].speaker |
SPEAKER_20 |
transcript.pyannote[108].start |
2589.12846875 |
transcript.pyannote[108].end |
2590.05659375 |
transcript.pyannote[109].speaker |
SPEAKER_20 |
transcript.pyannote[109].start |
2590.68096875 |
transcript.pyannote[109].end |
2592.65534375 |
transcript.pyannote[110].speaker |
SPEAKER_20 |
transcript.pyannote[110].start |
2592.94221875 |
transcript.pyannote[110].end |
2593.83659375 |
transcript.pyannote[111].speaker |
SPEAKER_20 |
transcript.pyannote[111].start |
2594.51159375 |
transcript.pyannote[111].end |
2597.09346875 |
transcript.pyannote[112].speaker |
SPEAKER_20 |
transcript.pyannote[112].start |
2597.31284375 |
transcript.pyannote[112].end |
2598.34221875 |
transcript.pyannote[113].speaker |
SPEAKER_20 |
transcript.pyannote[113].start |
2598.76409375 |
transcript.pyannote[113].end |
2602.98284375 |
transcript.pyannote[114].speaker |
SPEAKER_20 |
transcript.pyannote[114].start |
2603.80971875 |
transcript.pyannote[114].end |
2606.02034375 |
transcript.pyannote[115].speaker |
SPEAKER_20 |
transcript.pyannote[115].start |
2606.47596875 |
transcript.pyannote[115].end |
2612.44971875 |
transcript.pyannote[116].speaker |
SPEAKER_20 |
transcript.pyannote[116].start |
2613.04034375 |
transcript.pyannote[116].end |
2619.77346875 |
transcript.pyannote[117].speaker |
SPEAKER_20 |
transcript.pyannote[117].start |
2620.36409375 |
transcript.pyannote[117].end |
2623.48596875 |
transcript.pyannote[118].speaker |
SPEAKER_20 |
transcript.pyannote[118].start |
2623.94159375 |
transcript.pyannote[118].end |
2625.64596875 |
transcript.pyannote[119].speaker |
SPEAKER_20 |
transcript.pyannote[119].start |
2626.03409375 |
transcript.pyannote[119].end |
2626.48971875 |
transcript.pyannote[120].speaker |
SPEAKER_20 |
transcript.pyannote[120].start |
2627.04659375 |
transcript.pyannote[120].end |
2627.08034375 |
transcript.pyannote[121].speaker |
SPEAKER_12 |
transcript.pyannote[121].start |
2638.74096875 |
transcript.pyannote[121].end |
2648.78159375 |
transcript.pyannote[122].speaker |
SPEAKER_12 |
transcript.pyannote[122].start |
2649.79409375 |
transcript.pyannote[122].end |
2651.41409375 |
transcript.pyannote[123].speaker |
SPEAKER_12 |
transcript.pyannote[123].start |
2654.24909375 |
transcript.pyannote[123].end |
2655.00846875 |
transcript.pyannote[124].speaker |
SPEAKER_23 |
transcript.pyannote[124].start |
2658.67034375 |
transcript.pyannote[124].end |
2659.66596875 |
transcript.pyannote[125].speaker |
SPEAKER_12 |
transcript.pyannote[125].start |
2659.41284375 |
transcript.pyannote[125].end |
2660.10471875 |
transcript.pyannote[126].speaker |
SPEAKER_23 |
transcript.pyannote[126].start |
2660.10471875 |
transcript.pyannote[126].end |
2660.44221875 |
transcript.pyannote[127].speaker |
SPEAKER_12 |
transcript.pyannote[127].start |
2660.44221875 |
transcript.pyannote[127].end |
2668.25534375 |
transcript.pyannote[128].speaker |
SPEAKER_23 |
transcript.pyannote[128].start |
2665.79159375 |
transcript.pyannote[128].end |
2665.92659375 |
transcript.pyannote[129].speaker |
SPEAKER_12 |
transcript.pyannote[129].start |
2668.72784375 |
transcript.pyannote[129].end |
2672.57534375 |
transcript.pyannote[130].speaker |
SPEAKER_12 |
transcript.pyannote[130].start |
2672.87909375 |
transcript.pyannote[130].end |
2675.05596875 |
transcript.pyannote[131].speaker |
SPEAKER_12 |
transcript.pyannote[131].start |
2675.08971875 |
transcript.pyannote[131].end |
2689.38284375 |
transcript.pyannote[132].speaker |
SPEAKER_12 |
transcript.pyannote[132].start |
2689.82159375 |
transcript.pyannote[132].end |
2707.05096875 |
transcript.pyannote[133].speaker |
SPEAKER_12 |
transcript.pyannote[133].start |
2707.45596875 |
transcript.pyannote[133].end |
2708.02971875 |
transcript.pyannote[134].speaker |
SPEAKER_23 |
transcript.pyannote[134].start |
2708.02971875 |
transcript.pyannote[134].end |
2708.06346875 |
transcript.pyannote[135].speaker |
SPEAKER_12 |
transcript.pyannote[135].start |
2708.48534375 |
transcript.pyannote[135].end |
2708.97471875 |
transcript.pyannote[136].speaker |
SPEAKER_23 |
transcript.pyannote[136].start |
2708.97471875 |
transcript.pyannote[136].end |
2709.75096875 |
transcript.pyannote[137].speaker |
SPEAKER_23 |
transcript.pyannote[137].start |
2710.07159375 |
transcript.pyannote[137].end |
2721.12471875 |
transcript.pyannote[138].speaker |
SPEAKER_23 |
transcript.pyannote[138].start |
2721.66471875 |
transcript.pyannote[138].end |
2732.68409375 |
transcript.pyannote[139].speaker |
SPEAKER_12 |
transcript.pyannote[139].start |
2730.76034375 |
transcript.pyannote[139].end |
2731.31721875 |
transcript.pyannote[140].speaker |
SPEAKER_12 |
transcript.pyannote[140].start |
2732.68409375 |
transcript.pyannote[140].end |
2733.74721875 |
transcript.pyannote[141].speaker |
SPEAKER_12 |
transcript.pyannote[141].start |
2734.35471875 |
transcript.pyannote[141].end |
2742.97784375 |
transcript.pyannote[142].speaker |
SPEAKER_23 |
transcript.pyannote[142].start |
2742.97784375 |
transcript.pyannote[142].end |
2755.61721875 |
transcript.pyannote[143].speaker |
SPEAKER_23 |
transcript.pyannote[143].start |
2755.92096875 |
transcript.pyannote[143].end |
2758.04721875 |
transcript.pyannote[144].speaker |
SPEAKER_23 |
transcript.pyannote[144].start |
2758.33409375 |
transcript.pyannote[144].end |
2759.02596875 |
transcript.pyannote[145].speaker |
SPEAKER_23 |
transcript.pyannote[145].start |
2759.39721875 |
transcript.pyannote[145].end |
2760.25784375 |
transcript.pyannote[146].speaker |
SPEAKER_23 |
transcript.pyannote[146].start |
2761.08471875 |
transcript.pyannote[146].end |
2761.94534375 |
transcript.pyannote[147].speaker |
SPEAKER_12 |
transcript.pyannote[147].start |
2761.21971875 |
transcript.pyannote[147].end |
2761.50659375 |
transcript.pyannote[148].speaker |
SPEAKER_23 |
transcript.pyannote[148].start |
2762.40096875 |
transcript.pyannote[148].end |
2770.23096875 |
transcript.pyannote[149].speaker |
SPEAKER_12 |
transcript.pyannote[149].start |
2766.97409375 |
transcript.pyannote[149].end |
2772.13784375 |
transcript.pyannote[150].speaker |
SPEAKER_23 |
transcript.pyannote[150].start |
2771.00721875 |
transcript.pyannote[150].end |
2801.24721875 |
transcript.pyannote[151].speaker |
SPEAKER_12 |
transcript.pyannote[151].start |
2774.75346875 |
transcript.pyannote[151].end |
2775.05721875 |
transcript.pyannote[152].speaker |
SPEAKER_12 |
transcript.pyannote[152].start |
2777.26784375 |
transcript.pyannote[152].end |
2777.80784375 |
transcript.pyannote[153].speaker |
SPEAKER_12 |
transcript.pyannote[153].start |
2801.24721875 |
transcript.pyannote[153].end |
2810.96721875 |
transcript.pyannote[154].speaker |
SPEAKER_12 |
transcript.pyannote[154].start |
2811.40596875 |
transcript.pyannote[154].end |
2814.20721875 |
transcript.pyannote[155].speaker |
SPEAKER_23 |
transcript.pyannote[155].start |
2814.20721875 |
transcript.pyannote[155].end |
2821.71659375 |
transcript.pyannote[156].speaker |
SPEAKER_23 |
transcript.pyannote[156].start |
2822.42534375 |
transcript.pyannote[156].end |
2843.36721875 |
transcript.pyannote[157].speaker |
SPEAKER_23 |
transcript.pyannote[157].start |
2843.82284375 |
transcript.pyannote[157].end |
2851.18034375 |
transcript.pyannote[158].speaker |
SPEAKER_12 |
transcript.pyannote[158].start |
2850.60659375 |
transcript.pyannote[158].end |
2851.26471875 |
transcript.pyannote[159].speaker |
SPEAKER_23 |
transcript.pyannote[159].start |
2851.26471875 |
transcript.pyannote[159].end |
2851.97346875 |
transcript.pyannote[160].speaker |
SPEAKER_12 |
transcript.pyannote[160].start |
2851.97346875 |
transcript.pyannote[160].end |
2852.56409375 |
transcript.pyannote[161].speaker |
SPEAKER_12 |
transcript.pyannote[161].start |
2853.12096875 |
transcript.pyannote[161].end |
2872.15596875 |
transcript.pyannote[162].speaker |
SPEAKER_12 |
transcript.pyannote[162].start |
2872.29096875 |
transcript.pyannote[162].end |
2878.87221875 |
transcript.pyannote[163].speaker |
SPEAKER_12 |
transcript.pyannote[163].start |
2879.27721875 |
transcript.pyannote[163].end |
2886.61784375 |
transcript.pyannote[164].speaker |
SPEAKER_23 |
transcript.pyannote[164].start |
2886.95534375 |
transcript.pyannote[164].end |
2894.71784375 |
transcript.pyannote[165].speaker |
SPEAKER_23 |
transcript.pyannote[165].start |
2895.08909375 |
transcript.pyannote[165].end |
2916.13221875 |
transcript.pyannote[166].speaker |
SPEAKER_12 |
transcript.pyannote[166].start |
2916.13221875 |
transcript.pyannote[166].end |
2917.80284375 |
transcript.pyannote[167].speaker |
SPEAKER_23 |
transcript.pyannote[167].start |
2916.67221875 |
transcript.pyannote[167].end |
2917.09409375 |
transcript.pyannote[168].speaker |
SPEAKER_12 |
transcript.pyannote[168].start |
2918.42721875 |
transcript.pyannote[168].end |
2922.81471875 |
transcript.pyannote[169].speaker |
SPEAKER_12 |
transcript.pyannote[169].start |
2923.64159375 |
transcript.pyannote[169].end |
2923.96221875 |
transcript.pyannote[170].speaker |
SPEAKER_23 |
transcript.pyannote[170].start |
2923.96221875 |
transcript.pyannote[170].end |
2924.29971875 |
transcript.pyannote[171].speaker |
SPEAKER_23 |
transcript.pyannote[171].start |
2924.68784375 |
transcript.pyannote[171].end |
2931.72471875 |
transcript.pyannote[172].speaker |
SPEAKER_12 |
transcript.pyannote[172].start |
2932.26471875 |
transcript.pyannote[172].end |
2932.28159375 |
transcript.pyannote[173].speaker |
SPEAKER_23 |
transcript.pyannote[173].start |
2932.28159375 |
transcript.pyannote[173].end |
2941.90034375 |
transcript.pyannote[174].speaker |
SPEAKER_12 |
transcript.pyannote[174].start |
2941.39409375 |
transcript.pyannote[174].end |
2943.75659375 |
transcript.pyannote[175].speaker |
SPEAKER_12 |
transcript.pyannote[175].start |
2944.33034375 |
transcript.pyannote[175].end |
2952.88596875 |
transcript.pyannote[176].speaker |
SPEAKER_12 |
transcript.pyannote[176].start |
2952.97034375 |
transcript.pyannote[176].end |
2961.47534375 |
transcript.pyannote[177].speaker |
SPEAKER_14 |
transcript.pyannote[177].start |
2955.02909375 |
transcript.pyannote[177].end |
2955.82221875 |
transcript.pyannote[178].speaker |
SPEAKER_12 |
transcript.pyannote[178].start |
2961.59346875 |
transcript.pyannote[178].end |
2961.62721875 |
transcript.pyannote[179].speaker |
SPEAKER_14 |
transcript.pyannote[179].start |
2961.62721875 |
transcript.pyannote[179].end |
2961.64409375 |
transcript.pyannote[180].speaker |
SPEAKER_12 |
transcript.pyannote[180].start |
2961.64409375 |
transcript.pyannote[180].end |
2961.74534375 |
transcript.pyannote[181].speaker |
SPEAKER_14 |
transcript.pyannote[181].start |
2961.74534375 |
transcript.pyannote[181].end |
2961.79596875 |
transcript.pyannote[182].speaker |
SPEAKER_12 |
transcript.pyannote[182].start |
2961.79596875 |
transcript.pyannote[182].end |
2998.97159375 |
transcript.pyannote[183].speaker |
SPEAKER_14 |
transcript.pyannote[183].start |
2969.69346875 |
transcript.pyannote[183].end |
2969.74409375 |
transcript.pyannote[184].speaker |
SPEAKER_23 |
transcript.pyannote[184].start |
2969.74409375 |
transcript.pyannote[184].end |
2969.96346875 |
transcript.pyannote[185].speaker |
SPEAKER_23 |
transcript.pyannote[185].start |
2998.97159375 |
transcript.pyannote[185].end |
3009.95721875 |
transcript.pyannote[186].speaker |
SPEAKER_23 |
transcript.pyannote[186].start |
3010.54784375 |
transcript.pyannote[186].end |
3031.82721875 |
transcript.pyannote[187].speaker |
SPEAKER_12 |
transcript.pyannote[187].start |
3031.00034375 |
transcript.pyannote[187].end |
3032.89034375 |
transcript.pyannote[188].speaker |
SPEAKER_23 |
transcript.pyannote[188].start |
3032.89034375 |
transcript.pyannote[188].end |
3047.36909375 |
transcript.pyannote[189].speaker |
SPEAKER_23 |
transcript.pyannote[189].start |
3047.68971875 |
transcript.pyannote[189].end |
3049.93409375 |
transcript.pyannote[190].speaker |
SPEAKER_23 |
transcript.pyannote[190].start |
3050.10284375 |
transcript.pyannote[190].end |
3055.09784375 |
transcript.pyannote[191].speaker |
SPEAKER_12 |
transcript.pyannote[191].start |
3050.15346875 |
transcript.pyannote[191].end |
3050.67659375 |
transcript.pyannote[192].speaker |
SPEAKER_12 |
transcript.pyannote[192].start |
3055.13159375 |
transcript.pyannote[192].end |
3064.10909375 |
transcript.pyannote[193].speaker |
SPEAKER_23 |
transcript.pyannote[193].start |
3063.48471875 |
transcript.pyannote[193].end |
3065.81346875 |
transcript.pyannote[194].speaker |
SPEAKER_23 |
transcript.pyannote[194].start |
3066.11721875 |
transcript.pyannote[194].end |
3070.33596875 |
transcript.pyannote[195].speaker |
SPEAKER_14 |
transcript.pyannote[195].start |
3070.33596875 |
transcript.pyannote[195].end |
3070.74096875 |
transcript.pyannote[196].speaker |
SPEAKER_23 |
transcript.pyannote[196].start |
3070.69034375 |
transcript.pyannote[196].end |
3078.90846875 |
transcript.pyannote[197].speaker |
SPEAKER_14 |
transcript.pyannote[197].start |
3074.70659375 |
transcript.pyannote[197].end |
3074.84159375 |
transcript.pyannote[198].speaker |
SPEAKER_12 |
transcript.pyannote[198].start |
3078.90846875 |
transcript.pyannote[198].end |
3084.30846875 |
transcript.pyannote[199].speaker |
SPEAKER_23 |
transcript.pyannote[199].start |
3084.30846875 |
transcript.pyannote[199].end |
3102.78659375 |
transcript.pyannote[200].speaker |
SPEAKER_22 |
transcript.pyannote[200].start |
3091.85159375 |
transcript.pyannote[200].end |
3092.42534375 |
transcript.pyannote[201].speaker |
SPEAKER_12 |
transcript.pyannote[201].start |
3101.04846875 |
transcript.pyannote[201].end |
3101.67284375 |
transcript.pyannote[202].speaker |
SPEAKER_12 |
transcript.pyannote[202].start |
3102.78659375 |
transcript.pyannote[202].end |
3126.96846875 |
transcript.pyannote[203].speaker |
SPEAKER_23 |
transcript.pyannote[203].start |
3102.82034375 |
transcript.pyannote[203].end |
3102.83721875 |
transcript.pyannote[204].speaker |
SPEAKER_23 |
transcript.pyannote[204].start |
3126.96846875 |
transcript.pyannote[204].end |
3146.89784375 |
transcript.pyannote[205].speaker |
SPEAKER_12 |
transcript.pyannote[205].start |
3140.73846875 |
transcript.pyannote[205].end |
3141.48096875 |
transcript.pyannote[206].speaker |
SPEAKER_12 |
transcript.pyannote[206].start |
3146.49284375 |
transcript.pyannote[206].end |
3159.53721875 |
transcript.pyannote[207].speaker |
SPEAKER_12 |
transcript.pyannote[207].start |
3159.90846875 |
transcript.pyannote[207].end |
3164.93721875 |
transcript.pyannote[208].speaker |
SPEAKER_12 |
transcript.pyannote[208].start |
3165.12284375 |
transcript.pyannote[208].end |
3166.37159375 |
transcript.pyannote[209].speaker |
SPEAKER_23 |
transcript.pyannote[209].start |
3166.37159375 |
transcript.pyannote[209].end |
3166.38846875 |
transcript.pyannote[210].speaker |
SPEAKER_12 |
transcript.pyannote[210].start |
3166.84409375 |
transcript.pyannote[210].end |
3166.86096875 |
transcript.pyannote[211].speaker |
SPEAKER_23 |
transcript.pyannote[211].start |
3166.86096875 |
transcript.pyannote[211].end |
3166.87784375 |
transcript.pyannote[212].speaker |
SPEAKER_12 |
transcript.pyannote[212].start |
3166.87784375 |
transcript.pyannote[212].end |
3166.96221875 |
transcript.pyannote[213].speaker |
SPEAKER_23 |
transcript.pyannote[213].start |
3166.96221875 |
transcript.pyannote[213].end |
3175.65284375 |
transcript.pyannote[214].speaker |
SPEAKER_23 |
transcript.pyannote[214].start |
3176.36159375 |
transcript.pyannote[214].end |
3196.93221875 |
transcript.pyannote[215].speaker |
SPEAKER_12 |
transcript.pyannote[215].start |
3196.93221875 |
transcript.pyannote[215].end |
3202.45034375 |
transcript.pyannote[216].speaker |
SPEAKER_12 |
transcript.pyannote[216].start |
3202.68659375 |
transcript.pyannote[216].end |
3206.28096875 |
transcript.pyannote[217].speaker |
SPEAKER_12 |
transcript.pyannote[217].start |
3206.82096875 |
transcript.pyannote[217].end |
3209.18346875 |
transcript.pyannote[218].speaker |
SPEAKER_12 |
transcript.pyannote[218].start |
3209.74034375 |
transcript.pyannote[218].end |
3213.65534375 |
transcript.pyannote[219].speaker |
SPEAKER_23 |
transcript.pyannote[219].start |
3212.81159375 |
transcript.pyannote[219].end |
3234.41159375 |
transcript.pyannote[220].speaker |
SPEAKER_12 |
transcript.pyannote[220].start |
3234.29346875 |
transcript.pyannote[220].end |
3234.96846875 |
transcript.pyannote[221].speaker |
SPEAKER_23 |
transcript.pyannote[221].start |
3234.68159375 |
transcript.pyannote[221].end |
3242.49471875 |
transcript.pyannote[222].speaker |
SPEAKER_12 |
transcript.pyannote[222].start |
3238.07346875 |
transcript.pyannote[222].end |
3239.38971875 |
transcript.pyannote[223].speaker |
SPEAKER_12 |
transcript.pyannote[223].start |
3240.25034375 |
transcript.pyannote[223].end |
3240.77346875 |
transcript.pyannote[224].speaker |
SPEAKER_12 |
transcript.pyannote[224].start |
3242.07284375 |
transcript.pyannote[224].end |
3282.53909375 |
transcript.pyannote[225].speaker |
SPEAKER_23 |
transcript.pyannote[225].start |
3282.53909375 |
transcript.pyannote[225].end |
3291.34784375 |
transcript.pyannote[226].speaker |
SPEAKER_23 |
transcript.pyannote[226].start |
3291.36471875 |
transcript.pyannote[226].end |
3306.33284375 |
transcript.pyannote[227].speaker |
SPEAKER_12 |
transcript.pyannote[227].start |
3305.75909375 |
transcript.pyannote[227].end |
3353.46471875 |
transcript.pyannote[228].speaker |
SPEAKER_23 |
transcript.pyannote[228].start |
3352.80659375 |
transcript.pyannote[228].end |
3357.17721875 |
transcript.pyannote[229].speaker |
SPEAKER_23 |
transcript.pyannote[229].start |
3357.54846875 |
transcript.pyannote[229].end |
3369.15846875 |
transcript.pyannote[230].speaker |
SPEAKER_12 |
transcript.pyannote[230].start |
3365.54721875 |
transcript.pyannote[230].end |
3367.01534375 |
transcript.pyannote[231].speaker |
SPEAKER_12 |
transcript.pyannote[231].start |
3367.97721875 |
transcript.pyannote[231].end |
3368.71971875 |
transcript.pyannote[232].speaker |
SPEAKER_12 |
transcript.pyannote[232].start |
3369.19221875 |
transcript.pyannote[232].end |
3370.12034375 |
transcript.pyannote[233].speaker |
SPEAKER_23 |
transcript.pyannote[233].start |
3369.86721875 |
transcript.pyannote[233].end |
3371.84159375 |
transcript.pyannote[234].speaker |
SPEAKER_20 |
transcript.pyannote[234].start |
3370.12034375 |
transcript.pyannote[234].end |
3370.20471875 |
transcript.pyannote[235].speaker |
SPEAKER_12 |
transcript.pyannote[235].start |
3370.20471875 |
transcript.pyannote[235].end |
3370.60971875 |
transcript.pyannote[236].speaker |
SPEAKER_20 |
transcript.pyannote[236].start |
3370.60971875 |
transcript.pyannote[236].end |
3371.92596875 |
transcript.pyannote[237].speaker |
SPEAKER_12 |
transcript.pyannote[237].start |
3371.92596875 |
transcript.pyannote[237].end |
3371.94284375 |
transcript.pyannote[238].speaker |
SPEAKER_20 |
transcript.pyannote[238].start |
3372.87096875 |
transcript.pyannote[238].end |
3374.45721875 |
transcript.pyannote[239].speaker |
SPEAKER_20 |
transcript.pyannote[239].start |
3375.48659375 |
transcript.pyannote[239].end |
3375.84096875 |
transcript.pyannote[240].speaker |
SPEAKER_20 |
transcript.pyannote[240].start |
3377.68034375 |
transcript.pyannote[240].end |
3378.30471875 |
transcript.pyannote[241].speaker |
SPEAKER_20 |
transcript.pyannote[241].start |
3379.09784375 |
transcript.pyannote[241].end |
3379.68846875 |
transcript.pyannote[242].speaker |
SPEAKER_20 |
transcript.pyannote[242].start |
3379.92471875 |
transcript.pyannote[242].end |
3380.75159375 |
transcript.pyannote[243].speaker |
SPEAKER_20 |
transcript.pyannote[243].start |
3381.19034375 |
transcript.pyannote[243].end |
3383.46846875 |
transcript.pyannote[244].speaker |
SPEAKER_20 |
transcript.pyannote[244].start |
3384.97034375 |
transcript.pyannote[244].end |
3385.32471875 |
transcript.pyannote[245].speaker |
SPEAKER_20 |
transcript.pyannote[245].start |
3385.44284375 |
transcript.pyannote[245].end |
3385.49346875 |
transcript.pyannote[246].speaker |
SPEAKER_20 |
transcript.pyannote[246].start |
3385.78034375 |
transcript.pyannote[246].end |
3386.03346875 |
transcript.pyannote[247].speaker |
SPEAKER_12 |
transcript.pyannote[247].start |
3386.03346875 |
transcript.pyannote[247].end |
3386.21909375 |
transcript.pyannote[248].speaker |
SPEAKER_20 |
transcript.pyannote[248].start |
3386.37096875 |
transcript.pyannote[248].end |
3386.48909375 |
transcript.pyannote[249].speaker |
SPEAKER_20 |
transcript.pyannote[249].start |
3386.94471875 |
transcript.pyannote[249].end |
3387.61971875 |
transcript.pyannote[250].speaker |
SPEAKER_20 |
transcript.pyannote[250].start |
3394.80846875 |
transcript.pyannote[250].end |
3395.44971875 |
transcript.pyannote[251].speaker |
SPEAKER_22 |
transcript.pyannote[251].start |
3399.31409375 |
transcript.pyannote[251].end |
3400.96784375 |
transcript.pyannote[252].speaker |
SPEAKER_22 |
transcript.pyannote[252].start |
3401.11971875 |
transcript.pyannote[252].end |
3402.21659375 |
transcript.pyannote[253].speaker |
SPEAKER_20 |
transcript.pyannote[253].start |
3401.72721875 |
transcript.pyannote[253].end |
3401.96346875 |
transcript.pyannote[254].speaker |
SPEAKER_22 |
transcript.pyannote[254].start |
3402.28409375 |
transcript.pyannote[254].end |
3403.00971875 |
transcript.pyannote[255].speaker |
SPEAKER_22 |
transcript.pyannote[255].start |
3407.09346875 |
transcript.pyannote[255].end |
3409.35471875 |
transcript.pyannote[256].speaker |
SPEAKER_22 |
transcript.pyannote[256].start |
3410.01284375 |
transcript.pyannote[256].end |
3412.89846875 |
transcript.pyannote[257].speaker |
SPEAKER_22 |
transcript.pyannote[257].start |
3413.86034375 |
transcript.pyannote[257].end |
3416.18909375 |
transcript.pyannote[258].speaker |
SPEAKER_23 |
transcript.pyannote[258].start |
3416.67846875 |
transcript.pyannote[258].end |
3416.69534375 |
transcript.pyannote[259].speaker |
SPEAKER_09 |
transcript.pyannote[259].start |
3416.69534375 |
transcript.pyannote[259].end |
3417.01596875 |
transcript.pyannote[260].speaker |
SPEAKER_22 |
transcript.pyannote[260].start |
3417.38721875 |
transcript.pyannote[260].end |
3418.78784375 |
transcript.pyannote[261].speaker |
SPEAKER_22 |
transcript.pyannote[261].start |
3418.80471875 |
transcript.pyannote[261].end |
3419.63159375 |
transcript.pyannote[262].speaker |
SPEAKER_09 |
transcript.pyannote[262].start |
3418.85534375 |
transcript.pyannote[262].end |
3419.20971875 |
transcript.pyannote[263].speaker |
SPEAKER_22 |
transcript.pyannote[263].start |
3420.79596875 |
transcript.pyannote[263].end |
3421.57221875 |
transcript.pyannote[264].speaker |
SPEAKER_09 |
transcript.pyannote[264].start |
3421.82534375 |
transcript.pyannote[264].end |
3422.17971875 |
transcript.pyannote[265].speaker |
SPEAKER_22 |
transcript.pyannote[265].start |
3422.75346875 |
transcript.pyannote[265].end |
3423.59721875 |
transcript.pyannote[266].speaker |
SPEAKER_22 |
transcript.pyannote[266].start |
3423.73221875 |
transcript.pyannote[266].end |
3435.20721875 |
transcript.pyannote[267].speaker |
SPEAKER_15 |
transcript.pyannote[267].start |
3435.20721875 |
transcript.pyannote[267].end |
3436.10159375 |
transcript.pyannote[268].speaker |
SPEAKER_22 |
transcript.pyannote[268].start |
3435.64596875 |
transcript.pyannote[268].end |
3440.05034375 |
transcript.pyannote[269].speaker |
SPEAKER_15 |
transcript.pyannote[269].start |
3440.15159375 |
transcript.pyannote[269].end |
3440.48909375 |
transcript.pyannote[270].speaker |
SPEAKER_22 |
transcript.pyannote[270].start |
3440.48909375 |
transcript.pyannote[270].end |
3440.50596875 |
transcript.pyannote[271].speaker |
SPEAKER_22 |
transcript.pyannote[271].start |
3440.60721875 |
transcript.pyannote[271].end |
3441.07971875 |
transcript.pyannote[272].speaker |
SPEAKER_22 |
transcript.pyannote[272].start |
3441.16409375 |
transcript.pyannote[272].end |
3445.85534375 |
transcript.pyannote[273].speaker |
SPEAKER_22 |
transcript.pyannote[273].start |
3446.27721875 |
transcript.pyannote[273].end |
3446.42909375 |
transcript.pyannote[274].speaker |
SPEAKER_22 |
transcript.pyannote[274].start |
3446.80034375 |
transcript.pyannote[274].end |
3447.79596875 |
transcript.pyannote[275].speaker |
SPEAKER_22 |
transcript.pyannote[275].start |
3447.98159375 |
transcript.pyannote[275].end |
3448.40346875 |
transcript.pyannote[276].speaker |
SPEAKER_22 |
transcript.pyannote[276].start |
3449.17971875 |
transcript.pyannote[276].end |
3451.22159375 |
transcript.pyannote[277].speaker |
SPEAKER_22 |
transcript.pyannote[277].start |
3451.55909375 |
transcript.pyannote[277].end |
3454.07346875 |
transcript.pyannote[278].speaker |
SPEAKER_15 |
transcript.pyannote[278].start |
3454.29284375 |
transcript.pyannote[278].end |
3454.91721875 |
transcript.pyannote[279].speaker |
SPEAKER_22 |
transcript.pyannote[279].start |
3455.08596875 |
transcript.pyannote[279].end |
3456.43596875 |
transcript.pyannote[280].speaker |
SPEAKER_22 |
transcript.pyannote[280].start |
3456.57096875 |
transcript.pyannote[280].end |
3456.67221875 |
transcript.pyannote[281].speaker |
SPEAKER_15 |
transcript.pyannote[281].start |
3456.67221875 |
transcript.pyannote[281].end |
3456.73971875 |
transcript.pyannote[282].speaker |
SPEAKER_22 |
transcript.pyannote[282].start |
3456.73971875 |
transcript.pyannote[282].end |
3461.04284375 |
transcript.pyannote[283].speaker |
SPEAKER_15 |
transcript.pyannote[283].start |
3456.82409375 |
transcript.pyannote[283].end |
3456.99284375 |
transcript.pyannote[284].speaker |
SPEAKER_22 |
transcript.pyannote[284].start |
3461.53221875 |
transcript.pyannote[284].end |
3464.72159375 |
transcript.pyannote[285].speaker |
SPEAKER_22 |
transcript.pyannote[285].start |
3464.83971875 |
transcript.pyannote[285].end |
3469.96971875 |
transcript.pyannote[286].speaker |
SPEAKER_23 |
transcript.pyannote[286].start |
3467.40471875 |
transcript.pyannote[286].end |
3469.15971875 |
transcript.pyannote[287].speaker |
SPEAKER_23 |
transcript.pyannote[287].start |
3469.49721875 |
transcript.pyannote[287].end |
3469.51409375 |
transcript.pyannote[288].speaker |
SPEAKER_23 |
transcript.pyannote[288].start |
3469.53096875 |
transcript.pyannote[288].end |
3472.11284375 |
transcript.pyannote[289].speaker |
SPEAKER_22 |
transcript.pyannote[289].start |
3472.06221875 |
transcript.pyannote[289].end |
3475.36971875 |
transcript.pyannote[290].speaker |
SPEAKER_23 |
transcript.pyannote[290].start |
3473.98596875 |
transcript.pyannote[290].end |
3474.07034375 |
transcript.pyannote[291].speaker |
SPEAKER_22 |
transcript.pyannote[291].start |
3475.43721875 |
transcript.pyannote[291].end |
3475.50471875 |
transcript.pyannote[292].speaker |
SPEAKER_23 |
transcript.pyannote[292].start |
3475.50471875 |
transcript.pyannote[292].end |
3475.92659375 |
transcript.pyannote[293].speaker |
SPEAKER_22 |
transcript.pyannote[293].start |
3475.92659375 |
transcript.pyannote[293].end |
3478.50846875 |
transcript.pyannote[294].speaker |
SPEAKER_22 |
transcript.pyannote[294].start |
3479.06534375 |
transcript.pyannote[294].end |
3486.03471875 |
transcript.pyannote[295].speaker |
SPEAKER_23 |
transcript.pyannote[295].start |
3486.03471875 |
transcript.pyannote[295].end |
3486.79409375 |
transcript.pyannote[296].speaker |
SPEAKER_22 |
transcript.pyannote[296].start |
3486.40596875 |
transcript.pyannote[296].end |
3488.02596875 |
transcript.pyannote[297].speaker |
SPEAKER_22 |
transcript.pyannote[297].start |
3488.19471875 |
transcript.pyannote[297].end |
3490.69221875 |
transcript.pyannote[298].speaker |
SPEAKER_22 |
transcript.pyannote[298].start |
3490.84409375 |
transcript.pyannote[298].end |
3494.25284375 |
transcript.pyannote[299].speaker |
SPEAKER_22 |
transcript.pyannote[299].start |
3494.53971875 |
transcript.pyannote[299].end |
3495.95721875 |
transcript.pyannote[300].speaker |
SPEAKER_22 |
transcript.pyannote[300].start |
3496.34534375 |
transcript.pyannote[300].end |
3500.61471875 |
transcript.pyannote[301].speaker |
SPEAKER_22 |
transcript.pyannote[301].start |
3501.18846875 |
transcript.pyannote[301].end |
3501.94784375 |
transcript.pyannote[302].speaker |
SPEAKER_22 |
transcript.pyannote[302].start |
3502.43721875 |
transcript.pyannote[302].end |
3505.32284375 |
transcript.pyannote[303].speaker |
SPEAKER_23 |
transcript.pyannote[303].start |
3505.54221875 |
transcript.pyannote[303].end |
3505.57596875 |
transcript.pyannote[304].speaker |
SPEAKER_01 |
transcript.pyannote[304].start |
3505.57596875 |
transcript.pyannote[304].end |
3505.91346875 |
transcript.pyannote[305].speaker |
SPEAKER_22 |
transcript.pyannote[305].start |
3505.96409375 |
transcript.pyannote[305].end |
3509.91284375 |
transcript.pyannote[306].speaker |
SPEAKER_01 |
transcript.pyannote[306].start |
3510.09846875 |
transcript.pyannote[306].end |
3510.46971875 |
transcript.pyannote[307].speaker |
SPEAKER_22 |
transcript.pyannote[307].start |
3511.00971875 |
transcript.pyannote[307].end |
3511.83659375 |
transcript.pyannote[308].speaker |
SPEAKER_22 |
transcript.pyannote[308].start |
3512.44409375 |
transcript.pyannote[308].end |
3514.78971875 |
transcript.pyannote[309].speaker |
SPEAKER_23 |
transcript.pyannote[309].start |
3515.34659375 |
transcript.pyannote[309].end |
3516.66284375 |
transcript.pyannote[310].speaker |
SPEAKER_22 |
transcript.pyannote[310].start |
3516.61221875 |
transcript.pyannote[310].end |
3522.04596875 |
transcript.pyannote[311].speaker |
SPEAKER_22 |
transcript.pyannote[311].start |
3522.51846875 |
transcript.pyannote[311].end |
3525.35346875 |
transcript.pyannote[312].speaker |
SPEAKER_22 |
transcript.pyannote[312].start |
3525.79221875 |
transcript.pyannote[312].end |
3531.85034375 |
transcript.pyannote[313].speaker |
SPEAKER_22 |
transcript.pyannote[313].start |
3532.54221875 |
transcript.pyannote[313].end |
3533.23409375 |
transcript.pyannote[314].speaker |
SPEAKER_22 |
transcript.pyannote[314].start |
3533.67284375 |
transcript.pyannote[314].end |
3540.45659375 |
transcript.pyannote[315].speaker |
SPEAKER_22 |
transcript.pyannote[315].start |
3541.06409375 |
transcript.pyannote[315].end |
3544.11846875 |
transcript.pyannote[316].speaker |
SPEAKER_22 |
transcript.pyannote[316].start |
3544.92846875 |
transcript.pyannote[316].end |
3545.89034375 |
transcript.pyannote[317].speaker |
SPEAKER_22 |
transcript.pyannote[317].start |
3546.10971875 |
transcript.pyannote[317].end |
3547.71284375 |
transcript.pyannote[318].speaker |
SPEAKER_22 |
transcript.pyannote[318].start |
3548.59034375 |
transcript.pyannote[318].end |
3550.17659375 |
transcript.pyannote[319].speaker |
SPEAKER_22 |
transcript.pyannote[319].start |
3550.80096875 |
transcript.pyannote[319].end |
3552.48846875 |
transcript.pyannote[320].speaker |
SPEAKER_22 |
transcript.pyannote[320].start |
3552.62346875 |
transcript.pyannote[320].end |
3552.64034375 |
transcript.pyannote[321].speaker |
SPEAKER_15 |
transcript.pyannote[321].start |
3552.64034375 |
transcript.pyannote[321].end |
3553.48409375 |
transcript.pyannote[322].speaker |
SPEAKER_22 |
transcript.pyannote[322].start |
3554.09159375 |
transcript.pyannote[322].end |
3556.50471875 |
transcript.pyannote[323].speaker |
SPEAKER_15 |
transcript.pyannote[323].start |
3556.50471875 |
transcript.pyannote[323].end |
3556.69034375 |
transcript.pyannote[324].speaker |
SPEAKER_22 |
transcript.pyannote[324].start |
3556.69034375 |
transcript.pyannote[324].end |
3557.60159375 |
transcript.pyannote[325].speaker |
SPEAKER_22 |
transcript.pyannote[325].start |
3558.09096875 |
transcript.pyannote[325].end |
3558.88409375 |
transcript.pyannote[326].speaker |
SPEAKER_22 |
transcript.pyannote[326].start |
3559.39034375 |
transcript.pyannote[326].end |
3560.03159375 |
transcript.pyannote[327].speaker |
SPEAKER_22 |
transcript.pyannote[327].start |
3560.31846875 |
transcript.pyannote[327].end |
3560.35221875 |
transcript.pyannote[328].speaker |
SPEAKER_15 |
transcript.pyannote[328].start |
3560.35221875 |
transcript.pyannote[328].end |
3560.40284375 |
transcript.pyannote[329].speaker |
SPEAKER_22 |
transcript.pyannote[329].start |
3560.40284375 |
transcript.pyannote[329].end |
3561.16221875 |
transcript.pyannote[330].speaker |
SPEAKER_22 |
transcript.pyannote[330].start |
3561.93846875 |
transcript.pyannote[330].end |
3562.74846875 |
transcript.pyannote[331].speaker |
SPEAKER_22 |
transcript.pyannote[331].start |
3563.20409375 |
transcript.pyannote[331].end |
3564.75659375 |
transcript.pyannote[332].speaker |
SPEAKER_22 |
transcript.pyannote[332].start |
3565.24596875 |
transcript.pyannote[332].end |
3568.67159375 |
transcript.pyannote[333].speaker |
SPEAKER_22 |
transcript.pyannote[333].start |
3569.09346875 |
transcript.pyannote[333].end |
3571.81034375 |
transcript.pyannote[334].speaker |
SPEAKER_01 |
transcript.pyannote[334].start |
3571.81034375 |
transcript.pyannote[334].end |
3572.29971875 |
transcript.pyannote[335].speaker |
SPEAKER_01 |
transcript.pyannote[335].start |
3572.46846875 |
transcript.pyannote[335].end |
3573.24471875 |
transcript.pyannote[336].speaker |
SPEAKER_22 |
transcript.pyannote[336].start |
3572.85659375 |
transcript.pyannote[336].end |
3573.53159375 |
transcript.pyannote[337].speaker |
SPEAKER_22 |
transcript.pyannote[337].start |
3573.71721875 |
transcript.pyannote[337].end |
3576.61971875 |
transcript.pyannote[338].speaker |
SPEAKER_01 |
transcript.pyannote[338].start |
3576.67034375 |
transcript.pyannote[338].end |
3577.15971875 |
transcript.pyannote[339].speaker |
SPEAKER_15 |
transcript.pyannote[339].start |
3577.15971875 |
transcript.pyannote[339].end |
3577.17659375 |
transcript.pyannote[340].speaker |
SPEAKER_01 |
transcript.pyannote[340].start |
3577.17659375 |
transcript.pyannote[340].end |
3577.21034375 |
transcript.pyannote[341].speaker |
SPEAKER_15 |
transcript.pyannote[341].start |
3577.21034375 |
transcript.pyannote[341].end |
3577.29471875 |
transcript.pyannote[342].speaker |
SPEAKER_22 |
transcript.pyannote[342].start |
3577.29471875 |
transcript.pyannote[342].end |
3579.01596875 |
transcript.pyannote[343].speaker |
SPEAKER_01 |
transcript.pyannote[343].start |
3577.32846875 |
transcript.pyannote[343].end |
3577.34534375 |
transcript.pyannote[344].speaker |
SPEAKER_01 |
transcript.pyannote[344].start |
3579.23534375 |
transcript.pyannote[344].end |
3579.28596875 |
transcript.pyannote[345].speaker |
SPEAKER_15 |
transcript.pyannote[345].start |
3579.28596875 |
transcript.pyannote[345].end |
3579.48846875 |
transcript.pyannote[346].speaker |
SPEAKER_22 |
transcript.pyannote[346].start |
3579.91034375 |
transcript.pyannote[346].end |
3583.23471875 |
transcript.pyannote[347].speaker |
SPEAKER_22 |
transcript.pyannote[347].start |
3583.58909375 |
transcript.pyannote[347].end |
3585.76596875 |
transcript.pyannote[348].speaker |
SPEAKER_22 |
transcript.pyannote[348].start |
3586.59284375 |
transcript.pyannote[348].end |
3588.28034375 |
transcript.pyannote[349].speaker |
SPEAKER_01 |
transcript.pyannote[349].start |
3588.39846875 |
transcript.pyannote[349].end |
3588.76971875 |
transcript.pyannote[350].speaker |
SPEAKER_22 |
transcript.pyannote[350].start |
3588.76971875 |
transcript.pyannote[350].end |
3591.01409375 |
transcript.pyannote[351].speaker |
SPEAKER_01 |
transcript.pyannote[351].start |
3591.26721875 |
transcript.pyannote[351].end |
3591.67221875 |
transcript.pyannote[352].speaker |
SPEAKER_22 |
transcript.pyannote[352].start |
3592.04346875 |
transcript.pyannote[352].end |
3595.28346875 |
transcript.pyannote[353].speaker |
SPEAKER_22 |
transcript.pyannote[353].start |
3595.67159375 |
transcript.pyannote[353].end |
3599.58659375 |
transcript.pyannote[354].speaker |
SPEAKER_23 |
transcript.pyannote[354].start |
3599.58659375 |
transcript.pyannote[354].end |
3600.12659375 |
transcript.pyannote[355].speaker |
SPEAKER_23 |
transcript.pyannote[355].start |
3600.32909375 |
transcript.pyannote[355].end |
3600.49784375 |
transcript.pyannote[356].speaker |
SPEAKER_22 |
transcript.pyannote[356].start |
3600.75096875 |
transcript.pyannote[356].end |
3601.08846875 |
transcript.pyannote[357].speaker |
SPEAKER_22 |
transcript.pyannote[357].start |
3601.29096875 |
transcript.pyannote[357].end |
3602.80971875 |
transcript.pyannote[358].speaker |
SPEAKER_22 |
transcript.pyannote[358].start |
3604.24409375 |
transcript.pyannote[358].end |
3606.28596875 |
transcript.pyannote[359].speaker |
SPEAKER_22 |
transcript.pyannote[359].start |
3606.60659375 |
transcript.pyannote[359].end |
3609.71159375 |
transcript.pyannote[360].speaker |
SPEAKER_15 |
transcript.pyannote[360].start |
3609.86346875 |
transcript.pyannote[360].end |
3610.20096875 |
transcript.pyannote[361].speaker |
SPEAKER_22 |
transcript.pyannote[361].start |
3610.04909375 |
transcript.pyannote[361].end |
3611.39909375 |
transcript.pyannote[362].speaker |
SPEAKER_22 |
transcript.pyannote[362].start |
3612.02346875 |
transcript.pyannote[362].end |
3613.12034375 |
transcript.pyannote[363].speaker |
SPEAKER_15 |
transcript.pyannote[363].start |
3613.35659375 |
transcript.pyannote[363].end |
3613.69409375 |
transcript.pyannote[364].speaker |
SPEAKER_22 |
transcript.pyannote[364].start |
3613.93034375 |
transcript.pyannote[364].end |
3619.11096875 |
transcript.pyannote[365].speaker |
SPEAKER_22 |
transcript.pyannote[365].start |
3619.46534375 |
transcript.pyannote[365].end |
3627.27846875 |
transcript.pyannote[366].speaker |
SPEAKER_22 |
transcript.pyannote[366].start |
3627.43034375 |
transcript.pyannote[366].end |
3628.02096875 |
transcript.pyannote[367].speaker |
SPEAKER_22 |
transcript.pyannote[367].start |
3628.27409375 |
transcript.pyannote[367].end |
3630.33284375 |
transcript.pyannote[368].speaker |
SPEAKER_01 |
transcript.pyannote[368].start |
3630.33284375 |
transcript.pyannote[368].end |
3630.92346875 |
transcript.pyannote[369].speaker |
SPEAKER_22 |
transcript.pyannote[369].start |
3631.41284375 |
transcript.pyannote[369].end |
3632.49284375 |
transcript.pyannote[370].speaker |
SPEAKER_22 |
transcript.pyannote[370].start |
3632.93159375 |
transcript.pyannote[370].end |
3633.75846875 |
transcript.pyannote[371].speaker |
SPEAKER_22 |
transcript.pyannote[371].start |
3634.31534375 |
transcript.pyannote[371].end |
3635.51346875 |
transcript.pyannote[372].speaker |
SPEAKER_22 |
transcript.pyannote[372].start |
3636.07034375 |
transcript.pyannote[372].end |
3637.85909375 |
transcript.pyannote[373].speaker |
SPEAKER_22 |
transcript.pyannote[373].start |
3638.06159375 |
transcript.pyannote[373].end |
3638.97284375 |
transcript.pyannote[374].speaker |
SPEAKER_22 |
transcript.pyannote[374].start |
3639.29346875 |
transcript.pyannote[374].end |
3642.01034375 |
transcript.pyannote[375].speaker |
SPEAKER_22 |
transcript.pyannote[375].start |
3643.61346875 |
transcript.pyannote[375].end |
3644.89596875 |
transcript.pyannote[376].speaker |
SPEAKER_22 |
transcript.pyannote[376].start |
3645.04784375 |
transcript.pyannote[376].end |
3647.54534375 |
transcript.pyannote[377].speaker |
SPEAKER_01 |
transcript.pyannote[377].start |
3647.91659375 |
transcript.pyannote[377].end |
3647.93346875 |
transcript.pyannote[378].speaker |
SPEAKER_22 |
transcript.pyannote[378].start |
3647.93346875 |
transcript.pyannote[378].end |
3650.19471875 |
transcript.pyannote[379].speaker |
SPEAKER_01 |
transcript.pyannote[379].start |
3648.16971875 |
transcript.pyannote[379].end |
3648.27096875 |
transcript.pyannote[380].speaker |
SPEAKER_22 |
transcript.pyannote[380].start |
3650.48159375 |
transcript.pyannote[380].end |
3651.84846875 |
transcript.pyannote[381].speaker |
SPEAKER_22 |
transcript.pyannote[381].start |
3652.06784375 |
transcript.pyannote[381].end |
3655.08846875 |
transcript.pyannote[382].speaker |
SPEAKER_01 |
transcript.pyannote[382].start |
3654.34596875 |
transcript.pyannote[382].end |
3654.36284375 |
transcript.pyannote[383].speaker |
SPEAKER_23 |
transcript.pyannote[383].start |
3654.36284375 |
transcript.pyannote[383].end |
3654.41346875 |
transcript.pyannote[384].speaker |
SPEAKER_22 |
transcript.pyannote[384].start |
3655.32471875 |
transcript.pyannote[384].end |
3657.33284375 |
transcript.pyannote[385].speaker |
SPEAKER_23 |
transcript.pyannote[385].start |
3658.21034375 |
transcript.pyannote[385].end |
3702.32159375 |
transcript.pyannote[386].speaker |
SPEAKER_23 |
transcript.pyannote[386].start |
3702.74346875 |
transcript.pyannote[386].end |
3716.26034375 |
transcript.pyannote[387].speaker |
SPEAKER_22 |
transcript.pyannote[387].start |
3716.26034375 |
transcript.pyannote[387].end |
3716.58096875 |
transcript.pyannote[388].speaker |
SPEAKER_23 |
transcript.pyannote[388].start |
3716.31096875 |
transcript.pyannote[388].end |
3716.49659375 |
transcript.pyannote[389].speaker |
SPEAKER_23 |
transcript.pyannote[389].start |
3716.58096875 |
transcript.pyannote[389].end |
3717.32346875 |
transcript.pyannote[390].speaker |
SPEAKER_22 |
transcript.pyannote[390].start |
3717.32346875 |
transcript.pyannote[390].end |
3729.43971875 |
transcript.pyannote[391].speaker |
SPEAKER_23 |
transcript.pyannote[391].start |
3717.54284375 |
transcript.pyannote[391].end |
3717.82971875 |
transcript.pyannote[392].speaker |
SPEAKER_23 |
transcript.pyannote[392].start |
3727.46534375 |
transcript.pyannote[392].end |
3727.49909375 |
transcript.pyannote[393].speaker |
SPEAKER_01 |
transcript.pyannote[393].start |
3727.49909375 |
transcript.pyannote[393].end |
3727.66784375 |
transcript.pyannote[394].speaker |
SPEAKER_22 |
transcript.pyannote[394].start |
3729.60846875 |
transcript.pyannote[394].end |
3730.16534375 |
transcript.pyannote[395].speaker |
SPEAKER_15 |
transcript.pyannote[395].start |
3729.74346875 |
transcript.pyannote[395].end |
3730.01346875 |
transcript.pyannote[396].speaker |
SPEAKER_22 |
transcript.pyannote[396].start |
3730.30034375 |
transcript.pyannote[396].end |
3731.97096875 |
transcript.pyannote[397].speaker |
SPEAKER_22 |
transcript.pyannote[397].start |
3732.40971875 |
transcript.pyannote[397].end |
3742.97346875 |
transcript.pyannote[398].speaker |
SPEAKER_23 |
transcript.pyannote[398].start |
3735.36284375 |
transcript.pyannote[398].end |
3737.01659375 |
transcript.pyannote[399].speaker |
SPEAKER_23 |
transcript.pyannote[399].start |
3741.28596875 |
transcript.pyannote[399].end |
3760.75971875 |
transcript.pyannote[400].speaker |
SPEAKER_23 |
transcript.pyannote[400].start |
3760.94534375 |
transcript.pyannote[400].end |
3777.71909375 |
transcript.pyannote[401].speaker |
SPEAKER_22 |
transcript.pyannote[401].start |
3773.21346875 |
transcript.pyannote[401].end |
3774.07409375 |
transcript.pyannote[402].speaker |
SPEAKER_14 |
transcript.pyannote[402].start |
3774.07409375 |
transcript.pyannote[402].end |
3774.09096875 |
transcript.pyannote[403].speaker |
SPEAKER_23 |
transcript.pyannote[403].start |
3777.97221875 |
transcript.pyannote[403].end |
3781.02659375 |
transcript.pyannote[404].speaker |
SPEAKER_22 |
transcript.pyannote[404].start |
3779.99721875 |
transcript.pyannote[404].end |
3812.02596875 |
transcript.pyannote[405].speaker |
SPEAKER_23 |
transcript.pyannote[405].start |
3783.82784375 |
transcript.pyannote[405].end |
3784.65471875 |
transcript.pyannote[406].speaker |
SPEAKER_01 |
transcript.pyannote[406].start |
3796.01159375 |
transcript.pyannote[406].end |
3797.14221875 |
transcript.pyannote[407].speaker |
SPEAKER_01 |
transcript.pyannote[407].start |
3797.56409375 |
transcript.pyannote[407].end |
3797.58096875 |
transcript.pyannote[408].speaker |
SPEAKER_21 |
transcript.pyannote[408].start |
3805.02284375 |
transcript.pyannote[408].end |
3805.03971875 |
transcript.pyannote[409].speaker |
SPEAKER_23 |
transcript.pyannote[409].start |
3805.03971875 |
transcript.pyannote[409].end |
3805.76534375 |
transcript.pyannote[410].speaker |
SPEAKER_23 |
transcript.pyannote[410].start |
3812.02596875 |
transcript.pyannote[410].end |
3823.01159375 |
transcript.pyannote[411].speaker |
SPEAKER_23 |
transcript.pyannote[411].start |
3823.70346875 |
transcript.pyannote[411].end |
3835.97159375 |
transcript.pyannote[412].speaker |
SPEAKER_22 |
transcript.pyannote[412].start |
3835.97159375 |
transcript.pyannote[412].end |
3837.05159375 |
transcript.pyannote[413].speaker |
SPEAKER_22 |
transcript.pyannote[413].start |
3837.13596875 |
transcript.pyannote[413].end |
3837.74346875 |
transcript.pyannote[414].speaker |
SPEAKER_22 |
transcript.pyannote[414].start |
3838.19909375 |
transcript.pyannote[414].end |
3844.96596875 |
transcript.pyannote[415].speaker |
SPEAKER_23 |
transcript.pyannote[415].start |
3844.12221875 |
transcript.pyannote[415].end |
3845.82659375 |
transcript.pyannote[416].speaker |
SPEAKER_22 |
transcript.pyannote[416].start |
3845.82659375 |
transcript.pyannote[416].end |
3848.89784375 |
transcript.pyannote[417].speaker |
SPEAKER_23 |
transcript.pyannote[417].start |
3848.62784375 |
transcript.pyannote[417].end |
3848.96534375 |
transcript.pyannote[418].speaker |
SPEAKER_22 |
transcript.pyannote[418].start |
3848.96534375 |
transcript.pyannote[418].end |
3852.66096875 |
transcript.pyannote[419].speaker |
SPEAKER_23 |
transcript.pyannote[419].start |
3848.98221875 |
transcript.pyannote[419].end |
3849.06659375 |
transcript.pyannote[420].speaker |
SPEAKER_22 |
transcript.pyannote[420].start |
3853.08284375 |
transcript.pyannote[420].end |
3859.00596875 |
transcript.pyannote[421].speaker |
SPEAKER_15 |
transcript.pyannote[421].start |
3859.00596875 |
transcript.pyannote[421].end |
3859.39409375 |
transcript.pyannote[422].speaker |
SPEAKER_22 |
transcript.pyannote[422].start |
3859.39409375 |
transcript.pyannote[422].end |
3861.04784375 |
transcript.pyannote[423].speaker |
SPEAKER_22 |
transcript.pyannote[423].start |
3861.30096875 |
transcript.pyannote[423].end |
3863.76471875 |
transcript.pyannote[424].speaker |
SPEAKER_22 |
transcript.pyannote[424].start |
3864.55784375 |
transcript.pyannote[424].end |
3865.31721875 |
transcript.pyannote[425].speaker |
SPEAKER_22 |
transcript.pyannote[425].start |
3865.53659375 |
transcript.pyannote[425].end |
3867.47721875 |
transcript.pyannote[426].speaker |
SPEAKER_22 |
transcript.pyannote[426].start |
3868.08471875 |
transcript.pyannote[426].end |
3881.24721875 |
transcript.pyannote[427].speaker |
SPEAKER_14 |
transcript.pyannote[427].start |
3871.02096875 |
transcript.pyannote[427].end |
3871.03784375 |
transcript.pyannote[428].speaker |
SPEAKER_23 |
transcript.pyannote[428].start |
3871.03784375 |
transcript.pyannote[428].end |
3871.07159375 |
transcript.pyannote[429].speaker |
SPEAKER_23 |
transcript.pyannote[429].start |
3871.13909375 |
transcript.pyannote[429].end |
3871.54409375 |
transcript.pyannote[430].speaker |
SPEAKER_23 |
transcript.pyannote[430].start |
3873.43409375 |
transcript.pyannote[430].end |
3873.48471875 |
transcript.pyannote[431].speaker |
SPEAKER_23 |
transcript.pyannote[431].start |
3873.50159375 |
transcript.pyannote[431].end |
3873.51846875 |
transcript.pyannote[432].speaker |
SPEAKER_23 |
transcript.pyannote[432].start |
3874.36221875 |
transcript.pyannote[432].end |
3875.39159375 |
transcript.pyannote[433].speaker |
SPEAKER_23 |
transcript.pyannote[433].start |
3877.87221875 |
transcript.pyannote[433].end |
3878.88471875 |
transcript.pyannote[434].speaker |
SPEAKER_23 |
transcript.pyannote[434].start |
3880.38659375 |
transcript.pyannote[434].end |
3881.98971875 |
transcript.pyannote[435].speaker |
SPEAKER_22 |
transcript.pyannote[435].start |
3882.04034375 |
transcript.pyannote[435].end |
3897.90284375 |
transcript.pyannote[436].speaker |
SPEAKER_23 |
transcript.pyannote[436].start |
3886.39409375 |
transcript.pyannote[436].end |
3886.51221875 |
transcript.pyannote[437].speaker |
SPEAKER_22 |
transcript.pyannote[437].start |
3898.67909375 |
transcript.pyannote[437].end |
3899.96159375 |
transcript.pyannote[438].speaker |
SPEAKER_22 |
transcript.pyannote[438].start |
3900.21471875 |
transcript.pyannote[438].end |
3912.34784375 |
transcript.pyannote[439].speaker |
SPEAKER_22 |
transcript.pyannote[439].start |
3912.44909375 |
transcript.pyannote[439].end |
3913.10721875 |
transcript.pyannote[440].speaker |
SPEAKER_22 |
transcript.pyannote[440].start |
3913.37721875 |
transcript.pyannote[440].end |
3914.13659375 |
transcript.pyannote[441].speaker |
SPEAKER_22 |
transcript.pyannote[441].start |
3914.42346875 |
transcript.pyannote[441].end |
3915.16596875 |
transcript.pyannote[442].speaker |
SPEAKER_22 |
transcript.pyannote[442].start |
3915.99284375 |
transcript.pyannote[442].end |
3917.52846875 |
transcript.pyannote[443].speaker |
SPEAKER_22 |
transcript.pyannote[443].start |
3918.03471875 |
transcript.pyannote[443].end |
3919.19909375 |
transcript.pyannote[444].speaker |
SPEAKER_22 |
transcript.pyannote[444].start |
3919.46909375 |
transcript.pyannote[444].end |
3920.22846875 |
transcript.pyannote[445].speaker |
SPEAKER_22 |
transcript.pyannote[445].start |
3920.76846875 |
transcript.pyannote[445].end |
3926.60721875 |
transcript.pyannote[446].speaker |
SPEAKER_22 |
transcript.pyannote[446].start |
3927.14721875 |
transcript.pyannote[446].end |
3941.30534375 |
transcript.pyannote[447].speaker |
SPEAKER_15 |
transcript.pyannote[447].start |
3939.01034375 |
transcript.pyannote[447].end |
3939.02721875 |
transcript.pyannote[448].speaker |
SPEAKER_23 |
transcript.pyannote[448].start |
3939.02721875 |
transcript.pyannote[448].end |
3939.65159375 |
transcript.pyannote[449].speaker |
SPEAKER_22 |
transcript.pyannote[449].start |
3941.60909375 |
transcript.pyannote[449].end |
3944.14034375 |
transcript.pyannote[450].speaker |
SPEAKER_22 |
transcript.pyannote[450].start |
3944.64659375 |
transcript.pyannote[450].end |
3944.74784375 |
transcript.pyannote[451].speaker |
SPEAKER_22 |
transcript.pyannote[451].start |
3944.98409375 |
transcript.pyannote[451].end |
3946.99221875 |
transcript.pyannote[452].speaker |
SPEAKER_22 |
transcript.pyannote[452].start |
3947.44784375 |
transcript.pyannote[452].end |
3949.03409375 |
transcript.pyannote[453].speaker |
SPEAKER_22 |
transcript.pyannote[453].start |
3949.32096875 |
transcript.pyannote[453].end |
3956.45909375 |
transcript.pyannote[454].speaker |
SPEAKER_23 |
transcript.pyannote[454].start |
3956.45909375 |
transcript.pyannote[454].end |
3957.70784375 |
transcript.pyannote[455].speaker |
SPEAKER_22 |
transcript.pyannote[455].start |
3957.53909375 |
transcript.pyannote[455].end |
3959.54721875 |
transcript.pyannote[456].speaker |
SPEAKER_23 |
transcript.pyannote[456].start |
3959.54721875 |
transcript.pyannote[456].end |
3960.05346875 |
transcript.pyannote[457].speaker |
SPEAKER_22 |
transcript.pyannote[457].start |
3960.05346875 |
transcript.pyannote[457].end |
3963.78284375 |
transcript.pyannote[458].speaker |
SPEAKER_22 |
transcript.pyannote[458].start |
3964.86284375 |
transcript.pyannote[458].end |
3972.37221875 |
transcript.pyannote[459].speaker |
SPEAKER_15 |
transcript.pyannote[459].start |
3968.84534375 |
transcript.pyannote[459].end |
3969.16596875 |
transcript.pyannote[460].speaker |
SPEAKER_22 |
transcript.pyannote[460].start |
3972.67596875 |
transcript.pyannote[460].end |
3976.52346875 |
transcript.pyannote[461].speaker |
SPEAKER_15 |
transcript.pyannote[461].start |
3976.52346875 |
transcript.pyannote[461].end |
3976.84409375 |
transcript.pyannote[462].speaker |
SPEAKER_22 |
transcript.pyannote[462].start |
3976.84409375 |
transcript.pyannote[462].end |
3980.74221875 |
transcript.pyannote[463].speaker |
SPEAKER_15 |
transcript.pyannote[463].start |
3980.74221875 |
transcript.pyannote[463].end |
3980.87721875 |
transcript.pyannote[464].speaker |
SPEAKER_22 |
transcript.pyannote[464].start |
3980.87721875 |
transcript.pyannote[464].end |
3986.27721875 |
transcript.pyannote[465].speaker |
SPEAKER_22 |
transcript.pyannote[465].start |
3986.61471875 |
transcript.pyannote[465].end |
3988.74096875 |
transcript.pyannote[466].speaker |
SPEAKER_14 |
transcript.pyannote[466].start |
3988.74096875 |
transcript.pyannote[466].end |
3989.02784375 |
transcript.pyannote[467].speaker |
SPEAKER_22 |
transcript.pyannote[467].start |
3989.02784375 |
transcript.pyannote[467].end |
3990.91784375 |
transcript.pyannote[468].speaker |
SPEAKER_14 |
transcript.pyannote[468].start |
3989.04471875 |
transcript.pyannote[468].end |
3989.07846875 |
transcript.pyannote[469].speaker |
SPEAKER_22 |
transcript.pyannote[469].start |
3991.35659375 |
transcript.pyannote[469].end |
3992.94284375 |
transcript.pyannote[470].speaker |
SPEAKER_22 |
transcript.pyannote[470].start |
3993.93846875 |
transcript.pyannote[470].end |
3997.12784375 |
transcript.pyannote[471].speaker |
SPEAKER_14 |
transcript.pyannote[471].start |
3997.12784375 |
transcript.pyannote[471].end |
3997.36409375 |
transcript.pyannote[472].speaker |
SPEAKER_22 |
transcript.pyannote[472].start |
3997.36409375 |
transcript.pyannote[472].end |
4000.03034375 |
transcript.pyannote[473].speaker |
SPEAKER_23 |
transcript.pyannote[473].start |
4000.03034375 |
transcript.pyannote[473].end |
4000.73909375 |
transcript.pyannote[474].speaker |
SPEAKER_22 |
transcript.pyannote[474].start |
4000.73909375 |
transcript.pyannote[474].end |
4000.78971875 |
transcript.pyannote[475].speaker |
SPEAKER_23 |
transcript.pyannote[475].start |
4000.78971875 |
transcript.pyannote[475].end |
4010.00346875 |
transcript.pyannote[476].speaker |
SPEAKER_15 |
transcript.pyannote[476].start |
4010.00346875 |
transcript.pyannote[476].end |
4010.27346875 |
transcript.pyannote[477].speaker |
SPEAKER_23 |
transcript.pyannote[477].start |
4010.27346875 |
transcript.pyannote[477].end |
4020.63471875 |
transcript.pyannote[478].speaker |
SPEAKER_15 |
transcript.pyannote[478].start |
4013.49659375 |
transcript.pyannote[478].end |
4013.83409375 |
transcript.pyannote[479].speaker |
SPEAKER_22 |
transcript.pyannote[479].start |
4020.63471875 |
transcript.pyannote[479].end |
4020.65159375 |
transcript.pyannote[480].speaker |
SPEAKER_23 |
transcript.pyannote[480].start |
4021.19159375 |
transcript.pyannote[480].end |
4021.88346875 |
transcript.pyannote[481].speaker |
SPEAKER_01 |
transcript.pyannote[481].start |
4021.88346875 |
transcript.pyannote[481].end |
4021.91721875 |
transcript.pyannote[482].speaker |
SPEAKER_23 |
transcript.pyannote[482].start |
4021.91721875 |
transcript.pyannote[482].end |
4021.96784375 |
transcript.pyannote[483].speaker |
SPEAKER_22 |
transcript.pyannote[483].start |
4021.96784375 |
transcript.pyannote[483].end |
4021.98471875 |
transcript.pyannote[484].speaker |
SPEAKER_23 |
transcript.pyannote[484].start |
4021.98471875 |
transcript.pyannote[484].end |
4022.00159375 |
transcript.pyannote[485].speaker |
SPEAKER_22 |
transcript.pyannote[485].start |
4022.00159375 |
transcript.pyannote[485].end |
4029.73034375 |
transcript.pyannote[486].speaker |
SPEAKER_01 |
transcript.pyannote[486].start |
4026.49034375 |
transcript.pyannote[486].end |
4027.31721875 |
transcript.pyannote[487].speaker |
SPEAKER_22 |
transcript.pyannote[487].start |
4029.76409375 |
transcript.pyannote[487].end |
4030.32096875 |
transcript.pyannote[488].speaker |
SPEAKER_22 |
transcript.pyannote[488].start |
4030.99596875 |
transcript.pyannote[488].end |
4036.02471875 |
transcript.pyannote[489].speaker |
SPEAKER_23 |
transcript.pyannote[489].start |
4032.59909375 |
transcript.pyannote[489].end |
4037.03721875 |
transcript.pyannote[490].speaker |
SPEAKER_22 |
transcript.pyannote[490].start |
4036.34534375 |
transcript.pyannote[490].end |
4037.45909375 |
transcript.pyannote[491].speaker |
SPEAKER_20 |
transcript.pyannote[491].start |
4037.03721875 |
transcript.pyannote[491].end |
4039.56846875 |
transcript.pyannote[492].speaker |
SPEAKER_20 |
transcript.pyannote[492].start |
4039.73721875 |
transcript.pyannote[492].end |
4041.82971875 |
transcript.pyannote[493].speaker |
SPEAKER_21 |
transcript.pyannote[493].start |
4048.78221875 |
transcript.pyannote[493].end |
4054.43534375 |
transcript.pyannote[494].speaker |
SPEAKER_21 |
transcript.pyannote[494].start |
4060.51034375 |
transcript.pyannote[494].end |
4061.86034375 |
transcript.pyannote[495].speaker |
SPEAKER_21 |
transcript.pyannote[495].start |
4062.16409375 |
transcript.pyannote[495].end |
4063.54784375 |
transcript.pyannote[496].speaker |
SPEAKER_21 |
transcript.pyannote[496].start |
4064.08784375 |
transcript.pyannote[496].end |
4064.61096875 |
transcript.pyannote[497].speaker |
SPEAKER_21 |
transcript.pyannote[497].start |
4064.89784375 |
transcript.pyannote[497].end |
4073.43659375 |
transcript.pyannote[498].speaker |
SPEAKER_15 |
transcript.pyannote[498].start |
4069.23471875 |
transcript.pyannote[498].end |
4069.60596875 |
transcript.pyannote[499].speaker |
SPEAKER_21 |
transcript.pyannote[499].start |
4073.63909375 |
transcript.pyannote[499].end |
4080.72659375 |
transcript.pyannote[500].speaker |
SPEAKER_15 |
transcript.pyannote[500].start |
4074.87096875 |
transcript.pyannote[500].end |
4075.17471875 |
transcript.pyannote[501].speaker |
SPEAKER_15 |
transcript.pyannote[501].start |
4077.62159375 |
transcript.pyannote[501].end |
4077.79034375 |
transcript.pyannote[502].speaker |
SPEAKER_00 |
transcript.pyannote[502].start |
4077.79034375 |
transcript.pyannote[502].end |
4077.80721875 |
transcript.pyannote[503].speaker |
SPEAKER_21 |
transcript.pyannote[503].start |
4081.26659375 |
transcript.pyannote[503].end |
4087.15596875 |
transcript.pyannote[504].speaker |
SPEAKER_21 |
transcript.pyannote[504].start |
4087.57784375 |
transcript.pyannote[504].end |
4088.50596875 |
transcript.pyannote[505].speaker |
SPEAKER_21 |
transcript.pyannote[505].start |
4088.55659375 |
transcript.pyannote[505].end |
4092.97784375 |
transcript.pyannote[506].speaker |
SPEAKER_21 |
transcript.pyannote[506].start |
4093.14659375 |
transcript.pyannote[506].end |
4093.58534375 |
transcript.pyannote[507].speaker |
SPEAKER_21 |
transcript.pyannote[507].start |
4093.70346875 |
transcript.pyannote[507].end |
4096.08284375 |
transcript.pyannote[508].speaker |
SPEAKER_21 |
transcript.pyannote[508].start |
4096.43721875 |
transcript.pyannote[508].end |
4098.74909375 |
transcript.pyannote[509].speaker |
SPEAKER_14 |
transcript.pyannote[509].start |
4098.74909375 |
transcript.pyannote[509].end |
4099.13721875 |
transcript.pyannote[510].speaker |
SPEAKER_21 |
transcript.pyannote[510].start |
4099.13721875 |
transcript.pyannote[510].end |
4104.25034375 |
transcript.pyannote[511].speaker |
SPEAKER_14 |
transcript.pyannote[511].start |
4099.15409375 |
transcript.pyannote[511].end |
4099.20471875 |
transcript.pyannote[512].speaker |
SPEAKER_21 |
transcript.pyannote[512].start |
4104.65534375 |
transcript.pyannote[512].end |
4105.60034375 |
transcript.pyannote[513].speaker |
SPEAKER_21 |
transcript.pyannote[513].start |
4105.90409375 |
transcript.pyannote[513].end |
4109.53221875 |
transcript.pyannote[514].speaker |
SPEAKER_21 |
transcript.pyannote[514].start |
4109.71784375 |
transcript.pyannote[514].end |
4111.70909375 |
transcript.pyannote[515].speaker |
SPEAKER_15 |
transcript.pyannote[515].start |
4111.70909375 |
transcript.pyannote[515].end |
4112.16471875 |
transcript.pyannote[516].speaker |
SPEAKER_21 |
transcript.pyannote[516].start |
4112.01284375 |
transcript.pyannote[516].end |
4115.74221875 |
transcript.pyannote[517].speaker |
SPEAKER_21 |
transcript.pyannote[517].start |
4116.07971875 |
transcript.pyannote[517].end |
4118.50971875 |
transcript.pyannote[518].speaker |
SPEAKER_21 |
transcript.pyannote[518].start |
4118.99909375 |
transcript.pyannote[518].end |
4119.75846875 |
transcript.pyannote[519].speaker |
SPEAKER_21 |
transcript.pyannote[519].start |
4120.33221875 |
transcript.pyannote[519].end |
4121.61471875 |
transcript.pyannote[520].speaker |
SPEAKER_21 |
transcript.pyannote[520].start |
4121.81721875 |
transcript.pyannote[520].end |
4126.12034375 |
transcript.pyannote[521].speaker |
SPEAKER_15 |
transcript.pyannote[521].start |
4126.12034375 |
transcript.pyannote[521].end |
4126.87971875 |
transcript.pyannote[522].speaker |
SPEAKER_21 |
transcript.pyannote[522].start |
4126.57596875 |
transcript.pyannote[522].end |
4126.82909375 |
transcript.pyannote[523].speaker |
SPEAKER_21 |
transcript.pyannote[523].start |
4126.87971875 |
transcript.pyannote[523].end |
4126.91346875 |
transcript.pyannote[524].speaker |
SPEAKER_21 |
transcript.pyannote[524].start |
4127.18346875 |
transcript.pyannote[524].end |
4130.22096875 |
transcript.pyannote[525].speaker |
SPEAKER_15 |
transcript.pyannote[525].start |
4130.37284375 |
transcript.pyannote[525].end |
4130.44034375 |
transcript.pyannote[526].speaker |
SPEAKER_14 |
transcript.pyannote[526].start |
4130.44034375 |
transcript.pyannote[526].end |
4130.55846875 |
transcript.pyannote[527].speaker |
SPEAKER_15 |
transcript.pyannote[527].start |
4130.55846875 |
transcript.pyannote[527].end |
4130.82846875 |
transcript.pyannote[528].speaker |
SPEAKER_21 |
transcript.pyannote[528].start |
4130.55846875 |
transcript.pyannote[528].end |
4139.48534375 |
transcript.pyannote[529].speaker |
SPEAKER_23 |
transcript.pyannote[529].start |
4139.95784375 |
transcript.pyannote[529].end |
4140.54846875 |
transcript.pyannote[530].speaker |
SPEAKER_23 |
transcript.pyannote[530].start |
4141.42596875 |
transcript.pyannote[530].end |
4142.20221875 |
transcript.pyannote[531].speaker |
SPEAKER_23 |
transcript.pyannote[531].start |
4142.67471875 |
transcript.pyannote[531].end |
4143.53534375 |
transcript.pyannote[532].speaker |
SPEAKER_23 |
transcript.pyannote[532].start |
4143.73784375 |
transcript.pyannote[532].end |
4154.28471875 |
transcript.pyannote[533].speaker |
SPEAKER_14 |
transcript.pyannote[533].start |
4147.78784375 |
transcript.pyannote[533].end |
4147.97346875 |
transcript.pyannote[534].speaker |
SPEAKER_23 |
transcript.pyannote[534].start |
4154.87534375 |
transcript.pyannote[534].end |
4159.56659375 |
transcript.pyannote[535].speaker |
SPEAKER_00 |
transcript.pyannote[535].start |
4158.65534375 |
transcript.pyannote[535].end |
4158.87471875 |
transcript.pyannote[536].speaker |
SPEAKER_14 |
transcript.pyannote[536].start |
4158.87471875 |
transcript.pyannote[536].end |
4158.90846875 |
transcript.pyannote[537].speaker |
SPEAKER_00 |
transcript.pyannote[537].start |
4158.90846875 |
transcript.pyannote[537].end |
4159.11096875 |
transcript.pyannote[538].speaker |
SPEAKER_23 |
transcript.pyannote[538].start |
4160.27534375 |
transcript.pyannote[538].end |
4181.26784375 |
transcript.pyannote[539].speaker |
SPEAKER_21 |
transcript.pyannote[539].start |
4181.26784375 |
transcript.pyannote[539].end |
4210.10721875 |
transcript.pyannote[540].speaker |
SPEAKER_19 |
transcript.pyannote[540].start |
4186.29659375 |
transcript.pyannote[540].end |
4186.70159375 |
transcript.pyannote[541].speaker |
SPEAKER_23 |
transcript.pyannote[541].start |
4186.70159375 |
transcript.pyannote[541].end |
4186.87034375 |
transcript.pyannote[542].speaker |
SPEAKER_23 |
transcript.pyannote[542].start |
4186.95471875 |
transcript.pyannote[542].end |
4187.00534375 |
transcript.pyannote[543].speaker |
SPEAKER_19 |
transcript.pyannote[543].start |
4187.00534375 |
transcript.pyannote[543].end |
4187.20784375 |
transcript.pyannote[544].speaker |
SPEAKER_23 |
transcript.pyannote[544].start |
4187.20784375 |
transcript.pyannote[544].end |
4187.24159375 |
transcript.pyannote[545].speaker |
SPEAKER_00 |
transcript.pyannote[545].start |
4188.77721875 |
transcript.pyannote[545].end |
4189.03034375 |
transcript.pyannote[546].speaker |
SPEAKER_14 |
transcript.pyannote[546].start |
4189.03034375 |
transcript.pyannote[546].end |
4189.09784375 |
transcript.pyannote[547].speaker |
SPEAKER_00 |
transcript.pyannote[547].start |
4189.09784375 |
transcript.pyannote[547].end |
4189.73909375 |
transcript.pyannote[548].speaker |
SPEAKER_23 |
transcript.pyannote[548].start |
4189.73909375 |
transcript.pyannote[548].end |
4190.92034375 |
transcript.pyannote[549].speaker |
SPEAKER_23 |
transcript.pyannote[549].start |
4193.51909375 |
transcript.pyannote[549].end |
4195.57784375 |
transcript.pyannote[550].speaker |
SPEAKER_23 |
transcript.pyannote[550].start |
4199.32409375 |
transcript.pyannote[550].end |
4200.37034375 |
transcript.pyannote[551].speaker |
SPEAKER_14 |
transcript.pyannote[551].start |
4200.37034375 |
transcript.pyannote[551].end |
4200.40409375 |
transcript.pyannote[552].speaker |
SPEAKER_21 |
transcript.pyannote[552].start |
4210.41096875 |
transcript.pyannote[552].end |
4212.63846875 |
transcript.pyannote[553].speaker |
SPEAKER_21 |
transcript.pyannote[553].start |
4212.95909375 |
transcript.pyannote[553].end |
4225.53096875 |
transcript.pyannote[554].speaker |
SPEAKER_23 |
transcript.pyannote[554].start |
4216.89096875 |
transcript.pyannote[554].end |
4217.27909375 |
transcript.pyannote[555].speaker |
SPEAKER_23 |
transcript.pyannote[555].start |
4221.09284375 |
transcript.pyannote[555].end |
4221.54846875 |
transcript.pyannote[556].speaker |
SPEAKER_23 |
transcript.pyannote[556].start |
4225.46346875 |
transcript.pyannote[556].end |
4225.69971875 |
transcript.pyannote[557].speaker |
SPEAKER_21 |
transcript.pyannote[557].start |
4225.69971875 |
transcript.pyannote[557].end |
4239.72284375 |
transcript.pyannote[558].speaker |
SPEAKER_15 |
transcript.pyannote[558].start |
4229.12534375 |
transcript.pyannote[558].end |
4229.54721875 |
transcript.pyannote[559].speaker |
SPEAKER_15 |
transcript.pyannote[559].start |
4231.15034375 |
transcript.pyannote[559].end |
4231.55534375 |
transcript.pyannote[560].speaker |
SPEAKER_01 |
transcript.pyannote[560].start |
4231.55534375 |
transcript.pyannote[560].end |
4231.58909375 |
transcript.pyannote[561].speaker |
SPEAKER_01 |
transcript.pyannote[561].start |
4234.13721875 |
transcript.pyannote[561].end |
4234.59284375 |
transcript.pyannote[562].speaker |
SPEAKER_01 |
transcript.pyannote[562].start |
4239.55409375 |
transcript.pyannote[562].end |
4240.22909375 |
transcript.pyannote[563].speaker |
SPEAKER_21 |
transcript.pyannote[563].start |
4240.14471875 |
transcript.pyannote[563].end |
4247.11409375 |
transcript.pyannote[564].speaker |
SPEAKER_23 |
transcript.pyannote[564].start |
4247.11409375 |
transcript.pyannote[564].end |
4247.48534375 |
transcript.pyannote[565].speaker |
SPEAKER_21 |
transcript.pyannote[565].start |
4247.48534375 |
transcript.pyannote[565].end |
4248.49784375 |
transcript.pyannote[566].speaker |
SPEAKER_21 |
transcript.pyannote[566].start |
4248.95346875 |
transcript.pyannote[566].end |
4263.66846875 |
transcript.pyannote[567].speaker |
SPEAKER_01 |
transcript.pyannote[567].start |
4253.79659375 |
transcript.pyannote[567].end |
4254.37034375 |
transcript.pyannote[568].speaker |
SPEAKER_15 |
transcript.pyannote[568].start |
4263.66846875 |
transcript.pyannote[568].end |
4263.97221875 |
transcript.pyannote[569].speaker |
SPEAKER_21 |
transcript.pyannote[569].start |
4263.97221875 |
transcript.pyannote[569].end |
4279.21034375 |
transcript.pyannote[570].speaker |
SPEAKER_15 |
transcript.pyannote[570].start |
4264.14096875 |
transcript.pyannote[570].end |
4264.22534375 |
transcript.pyannote[571].speaker |
SPEAKER_01 |
transcript.pyannote[571].start |
4269.32159375 |
transcript.pyannote[571].end |
4269.33846875 |
transcript.pyannote[572].speaker |
SPEAKER_14 |
transcript.pyannote[572].start |
4269.33846875 |
transcript.pyannote[572].end |
4269.70971875 |
transcript.pyannote[573].speaker |
SPEAKER_15 |
transcript.pyannote[573].start |
4278.95721875 |
transcript.pyannote[573].end |
4279.00784375 |
transcript.pyannote[574].speaker |
SPEAKER_21 |
transcript.pyannote[574].start |
4279.58159375 |
transcript.pyannote[574].end |
4284.39096875 |
transcript.pyannote[575].speaker |
SPEAKER_23 |
transcript.pyannote[575].start |
4284.94784375 |
transcript.pyannote[575].end |
4286.38221875 |
transcript.pyannote[576].speaker |
SPEAKER_23 |
transcript.pyannote[576].start |
4286.85471875 |
transcript.pyannote[576].end |
4296.32159375 |
transcript.pyannote[577].speaker |
SPEAKER_23 |
transcript.pyannote[577].start |
4296.52409375 |
transcript.pyannote[577].end |
4312.38659375 |
transcript.pyannote[578].speaker |
SPEAKER_23 |
transcript.pyannote[578].start |
4312.97721875 |
transcript.pyannote[578].end |
4314.09096875 |
transcript.pyannote[579].speaker |
SPEAKER_23 |
transcript.pyannote[579].start |
4314.51284375 |
transcript.pyannote[579].end |
4315.03596875 |
transcript.pyannote[580].speaker |
SPEAKER_21 |
transcript.pyannote[580].start |
4315.03596875 |
transcript.pyannote[580].end |
4315.06971875 |
transcript.pyannote[581].speaker |
SPEAKER_23 |
transcript.pyannote[581].start |
4315.06971875 |
transcript.pyannote[581].end |
4315.40721875 |
transcript.pyannote[582].speaker |
SPEAKER_21 |
transcript.pyannote[582].start |
4315.40721875 |
transcript.pyannote[582].end |
4321.00971875 |
transcript.pyannote[583].speaker |
SPEAKER_21 |
transcript.pyannote[583].start |
4321.61721875 |
transcript.pyannote[583].end |
4327.18596875 |
transcript.pyannote[584].speaker |
SPEAKER_21 |
transcript.pyannote[584].start |
4328.21534375 |
transcript.pyannote[584].end |
4332.90659375 |
transcript.pyannote[585].speaker |
SPEAKER_21 |
transcript.pyannote[585].start |
4333.09221875 |
transcript.pyannote[585].end |
4336.46721875 |
transcript.pyannote[586].speaker |
SPEAKER_01 |
transcript.pyannote[586].start |
4336.46721875 |
transcript.pyannote[586].end |
4336.61909375 |
transcript.pyannote[587].speaker |
SPEAKER_21 |
transcript.pyannote[587].start |
4336.61909375 |
transcript.pyannote[587].end |
4336.73721875 |
transcript.pyannote[588].speaker |
SPEAKER_21 |
transcript.pyannote[588].start |
4336.83846875 |
transcript.pyannote[588].end |
4337.88471875 |
transcript.pyannote[589].speaker |
SPEAKER_01 |
transcript.pyannote[589].start |
4337.88471875 |
transcript.pyannote[589].end |
4338.25596875 |
transcript.pyannote[590].speaker |
SPEAKER_21 |
transcript.pyannote[590].start |
4338.20534375 |
transcript.pyannote[590].end |
4341.52971875 |
transcript.pyannote[591].speaker |
SPEAKER_21 |
transcript.pyannote[591].start |
4341.68159375 |
transcript.pyannote[591].end |
4350.84471875 |
transcript.pyannote[592].speaker |
SPEAKER_21 |
transcript.pyannote[592].start |
4351.30034375 |
transcript.pyannote[592].end |
4354.15221875 |
transcript.pyannote[593].speaker |
SPEAKER_21 |
transcript.pyannote[593].start |
4354.20284375 |
transcript.pyannote[593].end |
4358.74221875 |
transcript.pyannote[594].speaker |
SPEAKER_22 |
transcript.pyannote[594].start |
4354.42221875 |
transcript.pyannote[594].end |
4354.60784375 |
transcript.pyannote[595].speaker |
SPEAKER_21 |
transcript.pyannote[595].start |
4358.94471875 |
transcript.pyannote[595].end |
4367.55096875 |
transcript.pyannote[596].speaker |
SPEAKER_21 |
transcript.pyannote[596].start |
4367.88846875 |
transcript.pyannote[596].end |
4372.41096875 |
transcript.pyannote[597].speaker |
SPEAKER_21 |
transcript.pyannote[597].start |
4372.84971875 |
transcript.pyannote[597].end |
4380.52784375 |
transcript.pyannote[598].speaker |
SPEAKER_21 |
transcript.pyannote[598].start |
4380.81471875 |
transcript.pyannote[598].end |
4381.96221875 |
transcript.pyannote[599].speaker |
SPEAKER_21 |
transcript.pyannote[599].start |
4382.21534375 |
transcript.pyannote[599].end |
4385.30346875 |
transcript.pyannote[600].speaker |
SPEAKER_21 |
transcript.pyannote[600].start |
4385.60721875 |
transcript.pyannote[600].end |
4387.37909375 |
transcript.pyannote[601].speaker |
SPEAKER_21 |
transcript.pyannote[601].start |
4387.86846875 |
transcript.pyannote[601].end |
4389.47159375 |
transcript.pyannote[602].speaker |
SPEAKER_21 |
transcript.pyannote[602].start |
4389.87659375 |
transcript.pyannote[602].end |
4390.65284375 |
transcript.pyannote[603].speaker |
SPEAKER_21 |
transcript.pyannote[603].start |
4391.24346875 |
transcript.pyannote[603].end |
4392.81284375 |
transcript.pyannote[604].speaker |
SPEAKER_21 |
transcript.pyannote[604].start |
4393.70721875 |
transcript.pyannote[604].end |
4396.74471875 |
transcript.pyannote[605].speaker |
SPEAKER_23 |
transcript.pyannote[605].start |
4397.01471875 |
transcript.pyannote[605].end |
4397.28471875 |
transcript.pyannote[606].speaker |
SPEAKER_23 |
transcript.pyannote[606].start |
4397.67284375 |
transcript.pyannote[606].end |
4407.76409375 |
transcript.pyannote[607].speaker |
SPEAKER_21 |
transcript.pyannote[607].start |
4398.29721875 |
transcript.pyannote[607].end |
4398.66846875 |
transcript.pyannote[608].speaker |
SPEAKER_21 |
transcript.pyannote[608].start |
4399.68096875 |
transcript.pyannote[608].end |
4399.95096875 |
transcript.pyannote[609].speaker |
SPEAKER_21 |
transcript.pyannote[609].start |
4408.08471875 |
transcript.pyannote[609].end |
4408.38846875 |
transcript.pyannote[610].speaker |
SPEAKER_23 |
transcript.pyannote[610].start |
4408.35471875 |
transcript.pyannote[610].end |
4425.87096875 |
transcript.pyannote[611].speaker |
SPEAKER_23 |
transcript.pyannote[611].start |
4426.36034375 |
transcript.pyannote[611].end |
4447.50471875 |
transcript.pyannote[612].speaker |
SPEAKER_23 |
transcript.pyannote[612].start |
4447.74096875 |
transcript.pyannote[612].end |
4454.99721875 |
transcript.pyannote[613].speaker |
SPEAKER_23 |
transcript.pyannote[613].start |
4455.40221875 |
transcript.pyannote[613].end |
4463.09721875 |
transcript.pyannote[614].speaker |
SPEAKER_23 |
transcript.pyannote[614].start |
4463.43471875 |
transcript.pyannote[614].end |
4473.10409375 |
transcript.pyannote[615].speaker |
SPEAKER_23 |
transcript.pyannote[615].start |
4473.84659375 |
transcript.pyannote[615].end |
4484.76471875 |
transcript.pyannote[616].speaker |
SPEAKER_21 |
transcript.pyannote[616].start |
4484.76471875 |
transcript.pyannote[616].end |
4488.47721875 |
transcript.pyannote[617].speaker |
SPEAKER_23 |
transcript.pyannote[617].start |
4488.52784375 |
transcript.pyannote[617].end |
4500.59346875 |
transcript.pyannote[618].speaker |
SPEAKER_21 |
transcript.pyannote[618].start |
4492.07159375 |
transcript.pyannote[618].end |
4492.35846875 |
transcript.pyannote[619].speaker |
SPEAKER_23 |
transcript.pyannote[619].start |
4501.48784375 |
transcript.pyannote[619].end |
4502.02784375 |
transcript.pyannote[620].speaker |
SPEAKER_21 |
transcript.pyannote[620].start |
4502.12909375 |
transcript.pyannote[620].end |
4507.57971875 |
transcript.pyannote[621].speaker |
SPEAKER_21 |
transcript.pyannote[621].start |
4507.88346875 |
transcript.pyannote[621].end |
4516.59096875 |
transcript.pyannote[622].speaker |
SPEAKER_21 |
transcript.pyannote[622].start |
4516.86096875 |
transcript.pyannote[622].end |
4517.94096875 |
transcript.pyannote[623].speaker |
SPEAKER_21 |
transcript.pyannote[623].start |
4518.75096875 |
transcript.pyannote[623].end |
4523.59409375 |
transcript.pyannote[624].speaker |
SPEAKER_00 |
transcript.pyannote[624].start |
4519.72971875 |
transcript.pyannote[624].end |
4519.89846875 |
transcript.pyannote[625].speaker |
SPEAKER_21 |
transcript.pyannote[625].start |
4523.84721875 |
transcript.pyannote[625].end |
4533.58409375 |
transcript.pyannote[626].speaker |
SPEAKER_21 |
transcript.pyannote[626].start |
4535.10284375 |
transcript.pyannote[626].end |
4536.84096875 |
transcript.pyannote[627].speaker |
SPEAKER_23 |
transcript.pyannote[627].start |
4536.45284375 |
transcript.pyannote[627].end |
4537.46534375 |
transcript.pyannote[628].speaker |
SPEAKER_23 |
transcript.pyannote[628].start |
4537.68471875 |
transcript.pyannote[628].end |
4538.76471875 |
transcript.pyannote[629].speaker |
SPEAKER_21 |
transcript.pyannote[629].start |
4538.47784375 |
transcript.pyannote[629].end |
4539.87846875 |
transcript.pyannote[630].speaker |
SPEAKER_23 |
transcript.pyannote[630].start |
4539.33846875 |
transcript.pyannote[630].end |
4540.85721875 |
transcript.pyannote[631].speaker |
SPEAKER_21 |
transcript.pyannote[631].start |
4540.89096875 |
transcript.pyannote[631].end |
4545.53159375 |
transcript.pyannote[632].speaker |
SPEAKER_23 |
transcript.pyannote[632].start |
4545.53159375 |
transcript.pyannote[632].end |
4545.61596875 |
transcript.pyannote[633].speaker |
SPEAKER_21 |
transcript.pyannote[633].start |
4545.61596875 |
transcript.pyannote[633].end |
4545.76784375 |
transcript.pyannote[634].speaker |
SPEAKER_21 |
transcript.pyannote[634].start |
4545.81846875 |
transcript.pyannote[634].end |
4547.01659375 |
transcript.pyannote[635].speaker |
SPEAKER_21 |
transcript.pyannote[635].start |
4547.52284375 |
transcript.pyannote[635].end |
4554.44159375 |
transcript.pyannote[636].speaker |
SPEAKER_23 |
transcript.pyannote[636].start |
4553.58096875 |
transcript.pyannote[636].end |
4559.48721875 |
transcript.pyannote[637].speaker |
SPEAKER_21 |
transcript.pyannote[637].start |
4556.80409375 |
transcript.pyannote[637].end |
4557.98534375 |
transcript.pyannote[638].speaker |
SPEAKER_21 |
transcript.pyannote[638].start |
4559.45346875 |
transcript.pyannote[638].end |
4559.80784375 |
transcript.pyannote[639].speaker |
SPEAKER_23 |
transcript.pyannote[639].start |
4559.53784375 |
transcript.pyannote[639].end |
4559.63909375 |
transcript.pyannote[640].speaker |
SPEAKER_23 |
transcript.pyannote[640].start |
4559.65596875 |
transcript.pyannote[640].end |
4560.88784375 |
transcript.pyannote[641].speaker |
SPEAKER_21 |
transcript.pyannote[641].start |
4560.38159375 |
transcript.pyannote[641].end |
4567.68846875 |
transcript.pyannote[642].speaker |
SPEAKER_15 |
transcript.pyannote[642].start |
4567.21596875 |
transcript.pyannote[642].end |
4568.24534375 |
transcript.pyannote[643].speaker |
SPEAKER_21 |
transcript.pyannote[643].start |
4567.94159375 |
transcript.pyannote[643].end |
4575.28221875 |
transcript.pyannote[644].speaker |
SPEAKER_21 |
transcript.pyannote[644].start |
4575.50159375 |
transcript.pyannote[644].end |
4582.40346875 |
transcript.pyannote[645].speaker |
SPEAKER_21 |
transcript.pyannote[645].start |
4582.85909375 |
transcript.pyannote[645].end |
4585.64346875 |
transcript.pyannote[646].speaker |
SPEAKER_21 |
transcript.pyannote[646].start |
4585.91346875 |
transcript.pyannote[646].end |
4589.98034375 |
transcript.pyannote[647].speaker |
SPEAKER_21 |
transcript.pyannote[647].start |
4590.21659375 |
transcript.pyannote[647].end |
4591.68471875 |
transcript.pyannote[648].speaker |
SPEAKER_21 |
transcript.pyannote[648].start |
4592.07284375 |
transcript.pyannote[648].end |
4593.82784375 |
transcript.pyannote[649].speaker |
SPEAKER_01 |
transcript.pyannote[649].start |
4593.54096875 |
transcript.pyannote[649].end |
4593.60846875 |
transcript.pyannote[650].speaker |
SPEAKER_23 |
transcript.pyannote[650].start |
4593.60846875 |
transcript.pyannote[650].end |
4593.64221875 |
transcript.pyannote[651].speaker |
SPEAKER_01 |
transcript.pyannote[651].start |
4593.64221875 |
transcript.pyannote[651].end |
4593.81096875 |
transcript.pyannote[652].speaker |
SPEAKER_01 |
transcript.pyannote[652].start |
4593.82784375 |
transcript.pyannote[652].end |
4593.94596875 |
transcript.pyannote[653].speaker |
SPEAKER_21 |
transcript.pyannote[653].start |
4593.94596875 |
transcript.pyannote[653].end |
4597.96221875 |
transcript.pyannote[654].speaker |
SPEAKER_23 |
transcript.pyannote[654].start |
4595.97096875 |
transcript.pyannote[654].end |
4600.35846875 |
transcript.pyannote[655].speaker |
SPEAKER_12 |
transcript.pyannote[655].start |
4597.96221875 |
transcript.pyannote[655].end |
4598.70471875 |
transcript.pyannote[656].speaker |
SPEAKER_12 |
transcript.pyannote[656].start |
4600.96596875 |
transcript.pyannote[656].end |
4603.59846875 |
transcript.pyannote[657].speaker |
SPEAKER_12 |
transcript.pyannote[657].start |
4604.37471875 |
transcript.pyannote[657].end |
4607.02409375 |
transcript.pyannote[658].speaker |
SPEAKER_12 |
transcript.pyannote[658].start |
4607.34471875 |
transcript.pyannote[658].end |
4608.08721875 |
transcript.pyannote[659].speaker |
SPEAKER_20 |
transcript.pyannote[659].start |
4617.58784375 |
transcript.pyannote[659].end |
4618.02659375 |
transcript.pyannote[660].speaker |
SPEAKER_12 |
transcript.pyannote[660].start |
4618.02659375 |
transcript.pyannote[660].end |
4618.76909375 |
transcript.pyannote[661].speaker |
SPEAKER_12 |
transcript.pyannote[661].start |
4619.64659375 |
transcript.pyannote[661].end |
4623.69659375 |
transcript.pyannote[662].speaker |
SPEAKER_23 |
transcript.pyannote[662].start |
4629.14721875 |
transcript.pyannote[662].end |
4630.17659375 |
transcript.pyannote[663].speaker |
SPEAKER_20 |
transcript.pyannote[663].start |
4630.17659375 |
transcript.pyannote[663].end |
4630.19346875 |
transcript.pyannote[664].speaker |
SPEAKER_23 |
transcript.pyannote[664].start |
4630.58159375 |
transcript.pyannote[664].end |
4631.03721875 |
transcript.pyannote[665].speaker |
SPEAKER_20 |
transcript.pyannote[665].start |
4631.03721875 |
transcript.pyannote[665].end |
4632.38721875 |
transcript.pyannote[666].speaker |
SPEAKER_23 |
transcript.pyannote[666].start |
4632.38721875 |
transcript.pyannote[666].end |
4633.07909375 |
transcript.pyannote[667].speaker |
SPEAKER_20 |
transcript.pyannote[667].start |
4633.19721875 |
transcript.pyannote[667].end |
4638.59721875 |
transcript.pyannote[668].speaker |
SPEAKER_20 |
transcript.pyannote[668].start |
4639.00221875 |
transcript.pyannote[668].end |
4643.72721875 |
transcript.pyannote[669].speaker |
SPEAKER_16 |
transcript.pyannote[669].start |
4643.99721875 |
transcript.pyannote[669].end |
4644.01409375 |
transcript.pyannote[670].speaker |
SPEAKER_14 |
transcript.pyannote[670].start |
4644.01409375 |
transcript.pyannote[670].end |
4644.08159375 |
transcript.pyannote[671].speaker |
SPEAKER_20 |
transcript.pyannote[671].start |
4644.08159375 |
transcript.pyannote[671].end |
4645.80284375 |
transcript.pyannote[672].speaker |
SPEAKER_14 |
transcript.pyannote[672].start |
4644.09846875 |
transcript.pyannote[672].end |
4644.14909375 |
transcript.pyannote[673].speaker |
SPEAKER_20 |
transcript.pyannote[673].start |
4646.08971875 |
transcript.pyannote[673].end |
4649.78534375 |
transcript.pyannote[674].speaker |
SPEAKER_20 |
transcript.pyannote[674].start |
4650.30846875 |
transcript.pyannote[674].end |
4660.39971875 |
transcript.pyannote[675].speaker |
SPEAKER_20 |
transcript.pyannote[675].start |
4661.41221875 |
transcript.pyannote[675].end |
4670.15346875 |
transcript.pyannote[676].speaker |
SPEAKER_23 |
transcript.pyannote[676].start |
4671.46971875 |
transcript.pyannote[676].end |
4677.27471875 |
transcript.pyannote[677].speaker |
SPEAKER_23 |
transcript.pyannote[677].start |
4677.94971875 |
transcript.pyannote[677].end |
4680.85221875 |
transcript.pyannote[678].speaker |
SPEAKER_23 |
transcript.pyannote[678].start |
4681.96596875 |
transcript.pyannote[678].end |
4683.87284375 |
transcript.pyannote[679].speaker |
SPEAKER_23 |
transcript.pyannote[679].start |
4684.42971875 |
transcript.pyannote[679].end |
4685.32409375 |
transcript.pyannote[680].speaker |
SPEAKER_23 |
transcript.pyannote[680].start |
4685.66159375 |
transcript.pyannote[680].end |
4686.26909375 |
transcript.pyannote[681].speaker |
SPEAKER_23 |
transcript.pyannote[681].start |
4686.94409375 |
transcript.pyannote[681].end |
4689.22221875 |
transcript.pyannote[682].speaker |
SPEAKER_23 |
transcript.pyannote[682].start |
4689.45846875 |
transcript.pyannote[682].end |
4691.93909375 |
transcript.pyannote[683].speaker |
SPEAKER_23 |
transcript.pyannote[683].start |
4692.09096875 |
transcript.pyannote[683].end |
4693.96409375 |
transcript.pyannote[684].speaker |
SPEAKER_23 |
transcript.pyannote[684].start |
4695.41534375 |
transcript.pyannote[684].end |
4698.03096875 |
transcript.pyannote[685].speaker |
SPEAKER_23 |
transcript.pyannote[685].start |
4698.46971875 |
transcript.pyannote[685].end |
4714.19721875 |
transcript.pyannote[686].speaker |
SPEAKER_20 |
transcript.pyannote[686].start |
4700.07284375 |
transcript.pyannote[686].end |
4702.14846875 |
transcript.pyannote[687].speaker |
SPEAKER_20 |
transcript.pyannote[687].start |
4705.06784375 |
transcript.pyannote[687].end |
4705.96221875 |
transcript.pyannote[688].speaker |
SPEAKER_20 |
transcript.pyannote[688].start |
4706.48534375 |
transcript.pyannote[688].end |
4707.49784375 |
transcript.pyannote[689].speaker |
SPEAKER_20 |
transcript.pyannote[689].start |
4708.15596875 |
transcript.pyannote[689].end |
4709.32034375 |
transcript.pyannote[690].speaker |
SPEAKER_20 |
transcript.pyannote[690].start |
4710.04596875 |
transcript.pyannote[690].end |
4710.14721875 |
transcript.pyannote[691].speaker |
SPEAKER_20 |
transcript.pyannote[691].start |
4710.88971875 |
transcript.pyannote[691].end |
4719.14159375 |
transcript.pyannote[692].speaker |
SPEAKER_23 |
transcript.pyannote[692].start |
4715.91846875 |
transcript.pyannote[692].end |
4717.55534375 |
transcript.pyannote[693].speaker |
SPEAKER_20 |
transcript.pyannote[693].start |
4719.37784375 |
transcript.pyannote[693].end |
4719.96846875 |
transcript.pyannote[694].speaker |
SPEAKER_23 |
transcript.pyannote[694].start |
4719.96846875 |
transcript.pyannote[694].end |
4721.43659375 |
transcript.pyannote[695].speaker |
SPEAKER_20 |
transcript.pyannote[695].start |
4720.15409375 |
transcript.pyannote[695].end |
4722.07784375 |
transcript.pyannote[696].speaker |
SPEAKER_20 |
transcript.pyannote[696].start |
4722.38159375 |
transcript.pyannote[696].end |
4727.73096875 |
transcript.pyannote[697].speaker |
SPEAKER_23 |
transcript.pyannote[697].start |
4726.11096875 |
transcript.pyannote[697].end |
4726.48221875 |
transcript.pyannote[698].speaker |
SPEAKER_23 |
transcript.pyannote[698].start |
4728.70971875 |
transcript.pyannote[698].end |
4729.92471875 |
transcript.pyannote[699].speaker |
SPEAKER_23 |
transcript.pyannote[699].start |
4731.37596875 |
transcript.pyannote[699].end |
4746.20909375 |
transcript.pyannote[700].speaker |
SPEAKER_20 |
transcript.pyannote[700].start |
4744.33596875 |
transcript.pyannote[700].end |
4746.15846875 |
transcript.pyannote[701].speaker |
SPEAKER_20 |
transcript.pyannote[701].start |
4746.20909375 |
transcript.pyannote[701].end |
4746.25971875 |
transcript.pyannote[702].speaker |
SPEAKER_23 |
transcript.pyannote[702].start |
4746.61409375 |
transcript.pyannote[702].end |
4769.36159375 |
transcript.pyannote[703].speaker |
SPEAKER_20 |
transcript.pyannote[703].start |
4746.64784375 |
transcript.pyannote[703].end |
4749.43221875 |
transcript.pyannote[704].speaker |
SPEAKER_20 |
transcript.pyannote[704].start |
4749.98909375 |
transcript.pyannote[704].end |
4752.46971875 |
transcript.pyannote[705].speaker |
SPEAKER_20 |
transcript.pyannote[705].start |
4753.02659375 |
transcript.pyannote[705].end |
4755.08534375 |
transcript.pyannote[706].speaker |
SPEAKER_20 |
transcript.pyannote[706].start |
4756.45221875 |
transcript.pyannote[706].end |
4758.03846875 |
transcript.pyannote[707].speaker |
SPEAKER_20 |
transcript.pyannote[707].start |
4759.11846875 |
transcript.pyannote[707].end |
4760.89034375 |
transcript.pyannote[708].speaker |
SPEAKER_20 |
transcript.pyannote[708].start |
4769.36159375 |
transcript.pyannote[708].end |
4772.02784375 |
transcript.pyannote[709].speaker |
SPEAKER_23 |
transcript.pyannote[709].start |
4769.69909375 |
transcript.pyannote[709].end |
4776.21284375 |
transcript.pyannote[710].speaker |
SPEAKER_20 |
transcript.pyannote[710].start |
4773.42846875 |
transcript.pyannote[710].end |
4777.41096875 |
transcript.pyannote[711].speaker |
SPEAKER_20 |
transcript.pyannote[711].start |
4777.66409375 |
transcript.pyannote[711].end |
4779.79034375 |
transcript.pyannote[712].speaker |
SPEAKER_23 |
transcript.pyannote[712].start |
4778.23784375 |
transcript.pyannote[712].end |
4779.53721875 |
transcript.pyannote[713].speaker |
SPEAKER_16 |
transcript.pyannote[713].start |
4779.79034375 |
transcript.pyannote[713].end |
4779.84096875 |
transcript.pyannote[714].speaker |
SPEAKER_20 |
transcript.pyannote[714].start |
4779.84096875 |
transcript.pyannote[714].end |
4787.14784375 |
transcript.pyannote[715].speaker |
SPEAKER_23 |
transcript.pyannote[715].start |
4783.08096875 |
transcript.pyannote[715].end |
4786.06784375 |
transcript.pyannote[716].speaker |
SPEAKER_23 |
transcript.pyannote[716].start |
4786.67534375 |
transcript.pyannote[716].end |
4799.36534375 |
transcript.pyannote[717].speaker |
SPEAKER_20 |
transcript.pyannote[717].start |
4787.89034375 |
transcript.pyannote[717].end |
4788.39659375 |
transcript.pyannote[718].speaker |
SPEAKER_20 |
transcript.pyannote[718].start |
4790.25284375 |
transcript.pyannote[718].end |
4793.18909375 |
transcript.pyannote[719].speaker |
SPEAKER_23 |
transcript.pyannote[719].start |
4799.88846875 |
transcript.pyannote[719].end |
4816.37534375 |
transcript.pyannote[720].speaker |
SPEAKER_20 |
transcript.pyannote[720].start |
4799.92221875 |
transcript.pyannote[720].end |
4801.81221875 |
transcript.pyannote[721].speaker |
SPEAKER_14 |
transcript.pyannote[721].start |
4801.81221875 |
transcript.pyannote[721].end |
4801.84596875 |
transcript.pyannote[722].speaker |
SPEAKER_20 |
transcript.pyannote[722].start |
4802.25096875 |
transcript.pyannote[722].end |
4803.82034375 |
transcript.pyannote[723].speaker |
SPEAKER_20 |
transcript.pyannote[723].start |
4810.78971875 |
transcript.pyannote[723].end |
4814.01284375 |
transcript.pyannote[724].speaker |
SPEAKER_20 |
transcript.pyannote[724].start |
4815.00846875 |
transcript.pyannote[724].end |
4826.51721875 |
transcript.pyannote[725].speaker |
SPEAKER_23 |
transcript.pyannote[725].start |
4818.75471875 |
transcript.pyannote[725].end |
4819.05846875 |
transcript.pyannote[726].speaker |
SPEAKER_23 |
transcript.pyannote[726].start |
4819.12596875 |
transcript.pyannote[726].end |
4820.13846875 |
transcript.pyannote[727].speaker |
SPEAKER_23 |
transcript.pyannote[727].start |
4820.76284375 |
transcript.pyannote[727].end |
4820.91471875 |
transcript.pyannote[728].speaker |
SPEAKER_20 |
transcript.pyannote[728].start |
4826.73659375 |
transcript.pyannote[728].end |
4828.42409375 |
transcript.pyannote[729].speaker |
SPEAKER_20 |
transcript.pyannote[729].start |
4829.21721875 |
transcript.pyannote[729].end |
4832.25471875 |
transcript.pyannote[730].speaker |
SPEAKER_14 |
transcript.pyannote[730].start |
4830.97221875 |
transcript.pyannote[730].end |
4831.09034375 |
transcript.pyannote[731].speaker |
SPEAKER_14 |
transcript.pyannote[731].start |
4831.17471875 |
transcript.pyannote[731].end |
4831.37721875 |
transcript.pyannote[732].speaker |
SPEAKER_20 |
transcript.pyannote[732].start |
4832.79471875 |
transcript.pyannote[732].end |
4842.09284375 |
transcript.pyannote[733].speaker |
SPEAKER_15 |
transcript.pyannote[733].start |
4842.31221875 |
transcript.pyannote[733].end |
4842.61596875 |
transcript.pyannote[734].speaker |
SPEAKER_15 |
transcript.pyannote[734].start |
4843.15596875 |
transcript.pyannote[734].end |
4843.32471875 |
transcript.pyannote[735].speaker |
SPEAKER_20 |
transcript.pyannote[735].start |
4843.81409375 |
transcript.pyannote[735].end |
4844.18534375 |
transcript.pyannote[736].speaker |
SPEAKER_20 |
transcript.pyannote[736].start |
4844.69159375 |
transcript.pyannote[736].end |
4844.97846875 |
transcript.pyannote[737].speaker |
SPEAKER_23 |
transcript.pyannote[737].start |
4844.97846875 |
transcript.pyannote[737].end |
4845.50159375 |
transcript.pyannote[738].speaker |
SPEAKER_20 |
transcript.pyannote[738].start |
4845.50159375 |
transcript.pyannote[738].end |
4846.76721875 |
transcript.pyannote[739].speaker |
SPEAKER_23 |
transcript.pyannote[739].start |
4846.09221875 |
transcript.pyannote[739].end |
4846.39596875 |
transcript.pyannote[740].speaker |
SPEAKER_20 |
transcript.pyannote[740].start |
4847.25659375 |
transcript.pyannote[740].end |
4849.97346875 |
transcript.pyannote[741].speaker |
SPEAKER_23 |
transcript.pyannote[741].start |
4847.32409375 |
transcript.pyannote[741].end |
4849.68659375 |
transcript.pyannote[742].speaker |
SPEAKER_23 |
transcript.pyannote[742].start |
4849.97346875 |
transcript.pyannote[742].end |
4850.73284375 |
transcript.pyannote[743].speaker |
SPEAKER_20 |
transcript.pyannote[743].start |
4850.91846875 |
transcript.pyannote[743].end |
4852.04909375 |
transcript.pyannote[744].speaker |
SPEAKER_23 |
transcript.pyannote[744].start |
4851.32346875 |
transcript.pyannote[744].end |
4851.34034375 |
transcript.pyannote[745].speaker |
SPEAKER_23 |
transcript.pyannote[745].start |
4852.40346875 |
transcript.pyannote[745].end |
4852.48784375 |
transcript.pyannote[746].speaker |
SPEAKER_20 |
transcript.pyannote[746].start |
4853.04471875 |
transcript.pyannote[746].end |
4854.10784375 |
transcript.pyannote[747].speaker |
SPEAKER_20 |
transcript.pyannote[747].start |
4854.85034375 |
transcript.pyannote[747].end |
4855.01909375 |
transcript.pyannote[748].speaker |
SPEAKER_23 |
transcript.pyannote[748].start |
4855.01909375 |
transcript.pyannote[748].end |
4855.10346875 |
transcript.pyannote[749].speaker |
SPEAKER_20 |
transcript.pyannote[749].start |
4855.25534375 |
transcript.pyannote[749].end |
4856.95971875 |
transcript.pyannote[750].speaker |
SPEAKER_23 |
transcript.pyannote[750].start |
4856.95971875 |
transcript.pyannote[750].end |
4857.82034375 |
transcript.pyannote[751].speaker |
SPEAKER_20 |
transcript.pyannote[751].start |
4857.38159375 |
transcript.pyannote[751].end |
4857.48284375 |
transcript.pyannote[752].speaker |
SPEAKER_20 |
transcript.pyannote[752].start |
4857.82034375 |
transcript.pyannote[752].end |
4857.97221875 |
transcript.pyannote[753].speaker |
SPEAKER_23 |
transcript.pyannote[753].start |
4857.97221875 |
transcript.pyannote[753].end |
4858.30971875 |
transcript.pyannote[754].speaker |
SPEAKER_23 |
transcript.pyannote[754].start |
4858.73159375 |
transcript.pyannote[754].end |
4880.87159375 |
transcript.pyannote[755].speaker |
SPEAKER_20 |
transcript.pyannote[755].start |
4859.99721875 |
transcript.pyannote[755].end |
4860.90846875 |
transcript.pyannote[756].speaker |
SPEAKER_23 |
transcript.pyannote[756].start |
4881.20909375 |
transcript.pyannote[756].end |
4889.95034375 |
transcript.pyannote[757].speaker |
SPEAKER_23 |
transcript.pyannote[757].start |
4890.33846875 |
transcript.pyannote[757].end |
4890.64221875 |
transcript.pyannote[758].speaker |
SPEAKER_20 |
transcript.pyannote[758].start |
4891.65471875 |
transcript.pyannote[758].end |
4892.16096875 |
transcript.pyannote[759].speaker |
SPEAKER_23 |
transcript.pyannote[759].start |
4892.46471875 |
transcript.pyannote[759].end |
4900.75034375 |
transcript.pyannote[760].speaker |
SPEAKER_20 |
transcript.pyannote[760].start |
4892.51534375 |
transcript.pyannote[760].end |
4894.03409375 |
transcript.pyannote[761].speaker |
SPEAKER_20 |
transcript.pyannote[761].start |
4894.65846875 |
transcript.pyannote[761].end |
4895.01284375 |
transcript.pyannote[762].speaker |
SPEAKER_20 |
transcript.pyannote[762].start |
4895.65409375 |
transcript.pyannote[762].end |
4896.04221875 |
transcript.pyannote[763].speaker |
SPEAKER_20 |
transcript.pyannote[763].start |
4899.38346875 |
transcript.pyannote[763].end |
4908.19221875 |
transcript.pyannote[764].speaker |
SPEAKER_20 |
transcript.pyannote[764].start |
4908.54659375 |
transcript.pyannote[764].end |
4913.06909375 |
transcript.pyannote[765].speaker |
SPEAKER_23 |
transcript.pyannote[765].start |
4913.06909375 |
transcript.pyannote[765].end |
4932.34034375 |
transcript.pyannote[766].speaker |
SPEAKER_20 |
transcript.pyannote[766].start |
4915.81971875 |
transcript.pyannote[766].end |
4917.16971875 |
transcript.pyannote[767].speaker |
SPEAKER_23 |
transcript.pyannote[767].start |
4932.82971875 |
transcript.pyannote[767].end |
4935.69846875 |
transcript.pyannote[768].speaker |
SPEAKER_20 |
transcript.pyannote[768].start |
4933.60596875 |
transcript.pyannote[768].end |
4934.90534375 |
transcript.pyannote[769].speaker |
SPEAKER_20 |
transcript.pyannote[769].start |
4936.15409375 |
transcript.pyannote[769].end |
4941.63846875 |
transcript.pyannote[770].speaker |
SPEAKER_20 |
transcript.pyannote[770].start |
4941.97596875 |
transcript.pyannote[770].end |
4952.99534375 |
transcript.pyannote[771].speaker |
SPEAKER_23 |
transcript.pyannote[771].start |
4951.88159375 |
transcript.pyannote[771].end |
4955.83034375 |
transcript.pyannote[772].speaker |
SPEAKER_20 |
transcript.pyannote[772].start |
4953.99096875 |
transcript.pyannote[772].end |
4954.98659375 |
transcript.pyannote[773].speaker |
SPEAKER_23 |
transcript.pyannote[773].start |
4956.11721875 |
transcript.pyannote[773].end |
4961.87159375 |
transcript.pyannote[774].speaker |
SPEAKER_20 |
transcript.pyannote[774].start |
4956.96096875 |
transcript.pyannote[774].end |
4957.58534375 |
transcript.pyannote[775].speaker |
SPEAKER_23 |
transcript.pyannote[775].start |
4961.97284375 |
transcript.pyannote[775].end |
4972.77284375 |
transcript.pyannote[776].speaker |
SPEAKER_14 |
transcript.pyannote[776].start |
4968.13221875 |
transcript.pyannote[776].end |
4968.45284375 |
transcript.pyannote[777].speaker |
SPEAKER_20 |
transcript.pyannote[777].start |
4968.45284375 |
transcript.pyannote[777].end |
4968.52034375 |
transcript.pyannote[778].speaker |
SPEAKER_14 |
transcript.pyannote[778].start |
4968.52034375 |
transcript.pyannote[778].end |
4969.92096875 |
transcript.pyannote[779].speaker |
SPEAKER_20 |
transcript.pyannote[779].start |
4969.92096875 |
transcript.pyannote[779].end |
4969.97159375 |
transcript.pyannote[780].speaker |
SPEAKER_14 |
transcript.pyannote[780].start |
4969.97159375 |
transcript.pyannote[780].end |
4970.32596875 |
transcript.pyannote[781].speaker |
SPEAKER_20 |
transcript.pyannote[781].start |
4970.32596875 |
transcript.pyannote[781].end |
4970.52846875 |
transcript.pyannote[782].speaker |
SPEAKER_14 |
transcript.pyannote[782].start |
4970.52846875 |
transcript.pyannote[782].end |
4970.96721875 |
transcript.pyannote[783].speaker |
SPEAKER_20 |
transcript.pyannote[783].start |
4970.96721875 |
transcript.pyannote[783].end |
4971.42284375 |
transcript.pyannote[784].speaker |
SPEAKER_23 |
transcript.pyannote[784].start |
4972.94159375 |
transcript.pyannote[784].end |
4980.82221875 |
transcript.pyannote[785].speaker |
SPEAKER_20 |
transcript.pyannote[785].start |
4973.07659375 |
transcript.pyannote[785].end |
4973.76846875 |
transcript.pyannote[786].speaker |
SPEAKER_20 |
transcript.pyannote[786].start |
4974.57846875 |
transcript.pyannote[786].end |
4977.43034375 |
transcript.pyannote[787].speaker |
SPEAKER_20 |
transcript.pyannote[787].start |
4978.47659375 |
transcript.pyannote[787].end |
4979.40471875 |
transcript.pyannote[788].speaker |
SPEAKER_23 |
transcript.pyannote[788].start |
4981.07534375 |
transcript.pyannote[788].end |
5009.37471875 |
transcript.pyannote[789].speaker |
SPEAKER_20 |
transcript.pyannote[789].start |
4989.69846875 |
transcript.pyannote[789].end |
4994.62596875 |
transcript.pyannote[790].speaker |
SPEAKER_20 |
transcript.pyannote[790].start |
4995.03096875 |
transcript.pyannote[790].end |
4995.50346875 |
transcript.pyannote[791].speaker |
SPEAKER_20 |
transcript.pyannote[791].start |
4995.85784375 |
transcript.pyannote[791].end |
4998.33846875 |
transcript.pyannote[792].speaker |
SPEAKER_20 |
transcript.pyannote[792].start |
5005.15596875 |
transcript.pyannote[792].end |
5007.28221875 |
transcript.pyannote[793].speaker |
SPEAKER_20 |
transcript.pyannote[793].start |
5007.45096875 |
transcript.pyannote[793].end |
5007.46784375 |
transcript.pyannote[794].speaker |
SPEAKER_20 |
transcript.pyannote[794].start |
5007.73784375 |
transcript.pyannote[794].end |
5008.05846875 |
transcript.pyannote[795].speaker |
SPEAKER_23 |
transcript.pyannote[795].start |
5009.69534375 |
transcript.pyannote[795].end |
5009.98221875 |
transcript.pyannote[796].speaker |
SPEAKER_23 |
transcript.pyannote[796].start |
5010.31971875 |
transcript.pyannote[796].end |
5011.95659375 |
transcript.pyannote[797].speaker |
SPEAKER_23 |
transcript.pyannote[797].start |
5012.24346875 |
transcript.pyannote[797].end |
5018.53784375 |
transcript.pyannote[798].speaker |
SPEAKER_20 |
transcript.pyannote[798].start |
5016.71534375 |
transcript.pyannote[798].end |
5019.34784375 |
transcript.pyannote[799].speaker |
SPEAKER_23 |
transcript.pyannote[799].start |
5018.65596875 |
transcript.pyannote[799].end |
5019.21284375 |
transcript.pyannote[800].speaker |
SPEAKER_20 |
transcript.pyannote[800].start |
5020.34346875 |
transcript.pyannote[800].end |
5021.84534375 |
transcript.pyannote[801].speaker |
SPEAKER_20 |
transcript.pyannote[801].start |
5022.25034375 |
transcript.pyannote[801].end |
5023.81971875 |
transcript.pyannote[802].speaker |
SPEAKER_23 |
transcript.pyannote[802].start |
5022.43596875 |
transcript.pyannote[802].end |
5023.27971875 |
transcript.pyannote[803].speaker |
SPEAKER_20 |
transcript.pyannote[803].start |
5024.19096875 |
transcript.pyannote[803].end |
5025.42284375 |
transcript.pyannote[804].speaker |
SPEAKER_23 |
transcript.pyannote[804].start |
5024.54534375 |
transcript.pyannote[804].end |
5024.89971875 |
transcript.pyannote[805].speaker |
SPEAKER_23 |
transcript.pyannote[805].start |
5026.55346875 |
transcript.pyannote[805].end |
5031.05909375 |
transcript.pyannote[806].speaker |
SPEAKER_20 |
transcript.pyannote[806].start |
5028.02159375 |
transcript.pyannote[806].end |
5029.30409375 |
transcript.pyannote[807].speaker |
SPEAKER_23 |
transcript.pyannote[807].start |
5031.14346875 |
transcript.pyannote[807].end |
5031.16034375 |
transcript.pyannote[808].speaker |
SPEAKER_20 |
transcript.pyannote[808].start |
5031.91971875 |
transcript.pyannote[808].end |
5034.16409375 |
transcript.pyannote[809].speaker |
SPEAKER_20 |
transcript.pyannote[809].start |
5035.04159375 |
transcript.pyannote[809].end |
5035.73346875 |
transcript.pyannote[810].speaker |
SPEAKER_09 |
transcript.pyannote[810].start |
5036.83034375 |
transcript.pyannote[810].end |
5037.06659375 |
transcript.pyannote[811].speaker |
SPEAKER_09 |
transcript.pyannote[811].start |
5037.58971875 |
transcript.pyannote[811].end |
5042.29784375 |
transcript.pyannote[812].speaker |
SPEAKER_20 |
transcript.pyannote[812].start |
5042.50034375 |
transcript.pyannote[812].end |
5046.63471875 |
transcript.pyannote[813].speaker |
SPEAKER_09 |
transcript.pyannote[813].start |
5046.71909375 |
transcript.pyannote[813].end |
5047.10721875 |
transcript.pyannote[814].speaker |
SPEAKER_09 |
transcript.pyannote[814].start |
5047.66409375 |
transcript.pyannote[814].end |
5058.22784375 |
transcript.pyannote[815].speaker |
SPEAKER_20 |
transcript.pyannote[815].start |
5052.86159375 |
transcript.pyannote[815].end |
5053.28346875 |
transcript.pyannote[816].speaker |
SPEAKER_23 |
transcript.pyannote[816].start |
5053.28346875 |
transcript.pyannote[816].end |
5053.57034375 |
transcript.pyannote[817].speaker |
SPEAKER_20 |
transcript.pyannote[817].start |
5053.57034375 |
transcript.pyannote[817].end |
5053.63784375 |
transcript.pyannote[818].speaker |
SPEAKER_23 |
transcript.pyannote[818].start |
5054.27909375 |
transcript.pyannote[818].end |
5054.83596875 |
transcript.pyannote[819].speaker |
SPEAKER_23 |
transcript.pyannote[819].start |
5055.96659375 |
transcript.pyannote[819].end |
5061.75471875 |
transcript.pyannote[820].speaker |
SPEAKER_20 |
transcript.pyannote[820].start |
5058.86909375 |
transcript.pyannote[820].end |
5058.90284375 |
transcript.pyannote[821].speaker |
SPEAKER_09 |
transcript.pyannote[821].start |
5058.90284375 |
transcript.pyannote[821].end |
5059.61159375 |
transcript.pyannote[822].speaker |
SPEAKER_09 |
transcript.pyannote[822].start |
5060.50596875 |
transcript.pyannote[822].end |
5060.53971875 |
transcript.pyannote[823].speaker |
SPEAKER_20 |
transcript.pyannote[823].start |
5060.53971875 |
transcript.pyannote[823].end |
5066.90159375 |
transcript.pyannote[824].speaker |
SPEAKER_23 |
transcript.pyannote[824].start |
5066.00721875 |
transcript.pyannote[824].end |
5066.86784375 |
transcript.pyannote[825].speaker |
SPEAKER_23 |
transcript.pyannote[825].start |
5066.90159375 |
transcript.pyannote[825].end |
5068.08284375 |
transcript.pyannote[826].speaker |
SPEAKER_20 |
transcript.pyannote[826].start |
5067.66096875 |
transcript.pyannote[826].end |
5067.98159375 |
transcript.pyannote[827].speaker |
SPEAKER_20 |
transcript.pyannote[827].start |
5068.08284375 |
transcript.pyannote[827].end |
5070.04034375 |
transcript.pyannote[828].speaker |
SPEAKER_23 |
transcript.pyannote[828].start |
5068.77471875 |
transcript.pyannote[828].end |
5070.63096875 |
transcript.pyannote[829].speaker |
SPEAKER_23 |
transcript.pyannote[829].start |
5070.93471875 |
transcript.pyannote[829].end |
5070.96846875 |
transcript.pyannote[830].speaker |
SPEAKER_20 |
transcript.pyannote[830].start |
5070.96846875 |
transcript.pyannote[830].end |
5071.00221875 |
transcript.pyannote[831].speaker |
SPEAKER_23 |
transcript.pyannote[831].start |
5071.00221875 |
transcript.pyannote[831].end |
5071.03596875 |
transcript.pyannote[832].speaker |
SPEAKER_20 |
transcript.pyannote[832].start |
5071.03596875 |
transcript.pyannote[832].end |
5073.41534375 |
transcript.pyannote[833].speaker |
SPEAKER_23 |
transcript.pyannote[833].start |
5073.41534375 |
transcript.pyannote[833].end |
5091.38721875 |
transcript.pyannote[834].speaker |
SPEAKER_20 |
transcript.pyannote[834].start |
5087.77596875 |
transcript.pyannote[834].end |
5089.07534375 |
transcript.pyannote[835].speaker |
SPEAKER_20 |
transcript.pyannote[835].start |
5090.03721875 |
transcript.pyannote[835].end |
5090.05409375 |
transcript.pyannote[836].speaker |
SPEAKER_14 |
transcript.pyannote[836].start |
5090.05409375 |
transcript.pyannote[836].end |
5091.47159375 |
transcript.pyannote[837].speaker |
SPEAKER_23 |
transcript.pyannote[837].start |
5091.47159375 |
transcript.pyannote[837].end |
5091.50534375 |
transcript.pyannote[838].speaker |
SPEAKER_14 |
transcript.pyannote[838].start |
5091.50534375 |
transcript.pyannote[838].end |
5091.57284375 |
transcript.pyannote[839].speaker |
SPEAKER_23 |
transcript.pyannote[839].start |
5091.97784375 |
transcript.pyannote[839].end |
5095.03221875 |
transcript.pyannote[840].speaker |
SPEAKER_20 |
transcript.pyannote[840].start |
5092.63596875 |
transcript.pyannote[840].end |
5094.39096875 |
transcript.pyannote[841].speaker |
SPEAKER_15 |
transcript.pyannote[841].start |
5095.03221875 |
transcript.pyannote[841].end |
5095.04909375 |
transcript.pyannote[842].speaker |
SPEAKER_23 |
transcript.pyannote[842].start |
5095.85909375 |
transcript.pyannote[842].end |
5096.97284375 |
transcript.pyannote[843].speaker |
SPEAKER_15 |
transcript.pyannote[843].start |
5096.97284375 |
transcript.pyannote[843].end |
5097.04034375 |
transcript.pyannote[844].speaker |
SPEAKER_23 |
transcript.pyannote[844].start |
5097.17534375 |
transcript.pyannote[844].end |
5097.24284375 |
transcript.pyannote[845].speaker |
SPEAKER_20 |
transcript.pyannote[845].start |
5097.24284375 |
transcript.pyannote[845].end |
5100.98909375 |
transcript.pyannote[846].speaker |
SPEAKER_23 |
transcript.pyannote[846].start |
5097.27659375 |
transcript.pyannote[846].end |
5097.31034375 |
transcript.pyannote[847].speaker |
SPEAKER_23 |
transcript.pyannote[847].start |
5097.34409375 |
transcript.pyannote[847].end |
5122.33596875 |
transcript.pyannote[848].speaker |
SPEAKER_20 |
transcript.pyannote[848].start |
5102.77784375 |
transcript.pyannote[848].end |
5102.94659375 |
transcript.pyannote[849].speaker |
SPEAKER_20 |
transcript.pyannote[849].start |
5106.11909375 |
transcript.pyannote[849].end |
5107.09784375 |
transcript.pyannote[850].speaker |
SPEAKER_20 |
transcript.pyannote[850].start |
5114.96159375 |
transcript.pyannote[850].end |
5119.83846875 |
transcript.pyannote[851].speaker |
SPEAKER_23 |
transcript.pyannote[851].start |
5122.80846875 |
transcript.pyannote[851].end |
5125.23846875 |
transcript.pyannote[852].speaker |
SPEAKER_20 |
transcript.pyannote[852].start |
5122.82534375 |
transcript.pyannote[852].end |
5132.42721875 |
transcript.pyannote[853].speaker |
SPEAKER_23 |
transcript.pyannote[853].start |
5132.74784375 |
transcript.pyannote[853].end |
5133.25409375 |
transcript.pyannote[854].speaker |
SPEAKER_20 |
transcript.pyannote[854].start |
5133.25409375 |
transcript.pyannote[854].end |
5133.28784375 |
transcript.pyannote[855].speaker |
SPEAKER_20 |
transcript.pyannote[855].start |
5133.32159375 |
transcript.pyannote[855].end |
5134.41846875 |
transcript.pyannote[856].speaker |
SPEAKER_23 |
transcript.pyannote[856].start |
5134.72221875 |
transcript.pyannote[856].end |
5134.85721875 |
transcript.pyannote[857].speaker |
SPEAKER_20 |
transcript.pyannote[857].start |
5134.85721875 |
transcript.pyannote[857].end |
5135.29596875 |
transcript.pyannote[858].speaker |
SPEAKER_20 |
transcript.pyannote[858].start |
5135.59971875 |
transcript.pyannote[858].end |
5137.38846875 |
transcript.pyannote[859].speaker |
SPEAKER_23 |
transcript.pyannote[859].start |
5137.38846875 |
transcript.pyannote[859].end |
5137.45596875 |
transcript.pyannote[860].speaker |
SPEAKER_20 |
transcript.pyannote[860].start |
5137.45596875 |
transcript.pyannote[860].end |
5137.65846875 |
transcript.pyannote[861].speaker |
SPEAKER_23 |
transcript.pyannote[861].start |
5137.65846875 |
transcript.pyannote[861].end |
5137.79346875 |
transcript.pyannote[862].speaker |
SPEAKER_20 |
transcript.pyannote[862].start |
5137.79346875 |
transcript.pyannote[862].end |
5137.96221875 |
transcript.pyannote[863].speaker |
SPEAKER_23 |
transcript.pyannote[863].start |
5137.96221875 |
transcript.pyannote[863].end |
5150.39909375 |
transcript.pyannote[864].speaker |
SPEAKER_23 |
transcript.pyannote[864].start |
5150.60159375 |
transcript.pyannote[864].end |
5152.67721875 |
transcript.pyannote[865].speaker |
SPEAKER_23 |
transcript.pyannote[865].start |
5153.03159375 |
transcript.pyannote[865].end |
5169.55221875 |
transcript.pyannote[866].speaker |
SPEAKER_20 |
transcript.pyannote[866].start |
5156.52471875 |
transcript.pyannote[866].end |
5158.81971875 |
transcript.pyannote[867].speaker |
SPEAKER_23 |
transcript.pyannote[867].start |
5169.80534375 |
transcript.pyannote[867].end |
5170.53096875 |
transcript.pyannote[868].speaker |
SPEAKER_20 |
transcript.pyannote[868].start |
5170.53096875 |
transcript.pyannote[868].end |
5170.64909375 |
transcript.pyannote[869].speaker |
SPEAKER_20 |
transcript.pyannote[869].start |
5171.15534375 |
transcript.pyannote[869].end |
5172.42096875 |
transcript.pyannote[870].speaker |
SPEAKER_23 |
transcript.pyannote[870].start |
5172.42096875 |
transcript.pyannote[870].end |
5200.26471875 |
transcript.pyannote[871].speaker |
SPEAKER_20 |
transcript.pyannote[871].start |
5179.01909375 |
transcript.pyannote[871].end |
5180.35221875 |
transcript.pyannote[872].speaker |
SPEAKER_20 |
transcript.pyannote[872].start |
5181.02721875 |
transcript.pyannote[872].end |
5181.93846875 |
transcript.pyannote[873].speaker |
SPEAKER_20 |
transcript.pyannote[873].start |
5182.95096875 |
transcript.pyannote[873].end |
5186.98409375 |
transcript.pyannote[874].speaker |
SPEAKER_20 |
transcript.pyannote[874].start |
5189.49846875 |
transcript.pyannote[874].end |
5190.96659375 |
transcript.pyannote[875].speaker |
SPEAKER_20 |
transcript.pyannote[875].start |
5191.72596875 |
transcript.pyannote[875].end |
5195.92784375 |
transcript.pyannote[876].speaker |
SPEAKER_20 |
transcript.pyannote[876].start |
5196.87284375 |
transcript.pyannote[876].end |
5200.38284375 |
transcript.pyannote[877].speaker |
SPEAKER_20 |
transcript.pyannote[877].start |
5200.80471875 |
transcript.pyannote[877].end |
5202.96471875 |
transcript.pyannote[878].speaker |
SPEAKER_23 |
transcript.pyannote[878].start |
5200.93971875 |
transcript.pyannote[878].end |
5207.68971875 |
transcript.pyannote[879].speaker |
SPEAKER_20 |
transcript.pyannote[879].start |
5203.47096875 |
transcript.pyannote[879].end |
5203.82534375 |
transcript.pyannote[880].speaker |
SPEAKER_20 |
transcript.pyannote[880].start |
5204.46659375 |
transcript.pyannote[880].end |
5204.97284375 |
transcript.pyannote[881].speaker |
SPEAKER_14 |
transcript.pyannote[881].start |
5204.97284375 |
transcript.pyannote[881].end |
5205.04034375 |
transcript.pyannote[882].speaker |
SPEAKER_01 |
transcript.pyannote[882].start |
5205.04034375 |
transcript.pyannote[882].end |
5207.04846875 |
transcript.pyannote[883].speaker |
SPEAKER_01 |
transcript.pyannote[883].start |
5207.08221875 |
transcript.pyannote[883].end |
5207.41971875 |
transcript.pyannote[884].speaker |
SPEAKER_23 |
transcript.pyannote[884].start |
5207.97659375 |
transcript.pyannote[884].end |
5209.20846875 |
transcript.pyannote[885].speaker |
SPEAKER_23 |
transcript.pyannote[885].start |
5211.31784375 |
transcript.pyannote[885].end |
5214.27096875 |
transcript.pyannote[886].speaker |
SPEAKER_20 |
transcript.pyannote[886].start |
5211.97596875 |
transcript.pyannote[886].end |
5212.26284375 |
transcript.pyannote[887].speaker |
SPEAKER_20 |
transcript.pyannote[887].start |
5214.79409375 |
transcript.pyannote[887].end |
5216.00909375 |
transcript.pyannote[888].speaker |
SPEAKER_20 |
transcript.pyannote[888].start |
5216.22846875 |
transcript.pyannote[888].end |
5221.49346875 |
transcript.pyannote[889].speaker |
SPEAKER_23 |
transcript.pyannote[889].start |
5217.91596875 |
transcript.pyannote[889].end |
5218.45596875 |
transcript.pyannote[890].speaker |
SPEAKER_23 |
transcript.pyannote[890].start |
5222.26971875 |
transcript.pyannote[890].end |
5222.70846875 |
transcript.pyannote[891].speaker |
SPEAKER_20 |
transcript.pyannote[891].start |
5222.70846875 |
transcript.pyannote[891].end |
5223.82221875 |
transcript.pyannote[892].speaker |
SPEAKER_23 |
transcript.pyannote[892].start |
5222.96159375 |
transcript.pyannote[892].end |
5223.87284375 |
transcript.pyannote[893].speaker |
SPEAKER_20 |
transcript.pyannote[893].start |
5223.87284375 |
transcript.pyannote[893].end |
5223.92346875 |
transcript.pyannote[894].speaker |
SPEAKER_23 |
transcript.pyannote[894].start |
5223.92346875 |
transcript.pyannote[894].end |
5239.73534375 |
transcript.pyannote[895].speaker |
SPEAKER_23 |
transcript.pyannote[895].start |
5240.22471875 |
transcript.pyannote[895].end |
5248.03784375 |
transcript.pyannote[896].speaker |
SPEAKER_23 |
transcript.pyannote[896].start |
5248.86471875 |
transcript.pyannote[896].end |
5263.02284375 |
transcript.pyannote[897].speaker |
SPEAKER_20 |
transcript.pyannote[897].start |
5249.55659375 |
transcript.pyannote[897].end |
5250.58596875 |
transcript.pyannote[898].speaker |
SPEAKER_20 |
transcript.pyannote[898].start |
5251.64909375 |
transcript.pyannote[898].end |
5252.96534375 |
transcript.pyannote[899].speaker |
SPEAKER_20 |
transcript.pyannote[899].start |
5260.37346875 |
transcript.pyannote[899].end |
5260.47471875 |
transcript.pyannote[900].speaker |
SPEAKER_14 |
transcript.pyannote[900].start |
5260.47471875 |
transcript.pyannote[900].end |
5260.91346875 |
transcript.pyannote[901].speaker |
SPEAKER_20 |
transcript.pyannote[901].start |
5260.91346875 |
transcript.pyannote[901].end |
5260.99784375 |
transcript.pyannote[902].speaker |
SPEAKER_20 |
transcript.pyannote[902].start |
5263.02284375 |
transcript.pyannote[902].end |
5266.17846875 |
transcript.pyannote[903].speaker |
SPEAKER_23 |
transcript.pyannote[903].start |
5266.71846875 |
transcript.pyannote[903].end |
5278.46346875 |
transcript.pyannote[904].speaker |
SPEAKER_20 |
transcript.pyannote[904].start |
5268.03471875 |
transcript.pyannote[904].end |
5269.09784375 |
transcript.pyannote[905].speaker |
SPEAKER_23 |
transcript.pyannote[905].start |
5279.03721875 |
transcript.pyannote[905].end |
5280.52221875 |
transcript.pyannote[906].speaker |
SPEAKER_20 |
transcript.pyannote[906].start |
5279.12159375 |
transcript.pyannote[906].end |
5280.26909375 |
transcript.pyannote[907].speaker |
SPEAKER_23 |
transcript.pyannote[907].start |
5280.69096875 |
transcript.pyannote[907].end |
5285.68596875 |
transcript.pyannote[908].speaker |
SPEAKER_20 |
transcript.pyannote[908].start |
5284.45409375 |
transcript.pyannote[908].end |
5289.28034375 |
transcript.pyannote[909].speaker |
SPEAKER_20 |
transcript.pyannote[909].start |
5289.93846875 |
transcript.pyannote[909].end |
5295.89534375 |
transcript.pyannote[910].speaker |
SPEAKER_20 |
transcript.pyannote[910].start |
5296.50284375 |
transcript.pyannote[910].end |
5297.76846875 |
transcript.pyannote[911].speaker |
SPEAKER_23 |
transcript.pyannote[911].start |
5297.09346875 |
transcript.pyannote[911].end |
5302.13909375 |
transcript.pyannote[912].speaker |
SPEAKER_20 |
transcript.pyannote[912].start |
5299.52346875 |
transcript.pyannote[912].end |
5301.70034375 |
transcript.pyannote[913].speaker |
SPEAKER_23 |
transcript.pyannote[913].start |
5303.20221875 |
transcript.pyannote[913].end |
5307.10034375 |
transcript.pyannote[914].speaker |
SPEAKER_23 |
transcript.pyannote[914].start |
5307.40409375 |
transcript.pyannote[914].end |
5310.81284375 |
transcript.pyannote[915].speaker |
SPEAKER_14 |
transcript.pyannote[915].start |
5310.76221875 |
transcript.pyannote[915].end |
5311.13346875 |
transcript.pyannote[916].speaker |
SPEAKER_23 |
transcript.pyannote[916].start |
5311.08284375 |
transcript.pyannote[916].end |
5321.30909375 |
transcript.pyannote[917].speaker |
SPEAKER_20 |
transcript.pyannote[917].start |
5321.61284375 |
transcript.pyannote[917].end |
5324.93721875 |
transcript.pyannote[918].speaker |
SPEAKER_23 |
transcript.pyannote[918].start |
5324.93721875 |
transcript.pyannote[918].end |
5336.02409375 |
transcript.pyannote[919].speaker |
SPEAKER_20 |
transcript.pyannote[919].start |
5334.80909375 |
transcript.pyannote[919].end |
5335.19721875 |
transcript.pyannote[920].speaker |
SPEAKER_20 |
transcript.pyannote[920].start |
5336.02409375 |
transcript.pyannote[920].end |
5336.83409375 |
transcript.pyannote[921].speaker |
SPEAKER_23 |
transcript.pyannote[921].start |
5336.83409375 |
transcript.pyannote[921].end |
5336.95221875 |
transcript.pyannote[922].speaker |
SPEAKER_20 |
transcript.pyannote[922].start |
5336.95221875 |
transcript.pyannote[922].end |
5337.30659375 |
transcript.pyannote[923].speaker |
SPEAKER_23 |
transcript.pyannote[923].start |
5337.30659375 |
transcript.pyannote[923].end |
5337.32346875 |
transcript.pyannote[924].speaker |
SPEAKER_20 |
transcript.pyannote[924].start |
5337.32346875 |
transcript.pyannote[924].end |
5337.35721875 |
transcript.pyannote[925].speaker |
SPEAKER_23 |
transcript.pyannote[925].start |
5337.35721875 |
transcript.pyannote[925].end |
5342.01471875 |
transcript.pyannote[926].speaker |
SPEAKER_20 |
transcript.pyannote[926].start |
5341.37346875 |
transcript.pyannote[926].end |
5342.18346875 |
transcript.pyannote[927].speaker |
SPEAKER_20 |
transcript.pyannote[927].start |
5342.53784375 |
transcript.pyannote[927].end |
5345.49096875 |
transcript.pyannote[928].speaker |
SPEAKER_20 |
transcript.pyannote[928].start |
5346.08159375 |
transcript.pyannote[928].end |
5347.16159375 |
transcript.pyannote[929].speaker |
SPEAKER_20 |
transcript.pyannote[929].start |
5347.49909375 |
transcript.pyannote[929].end |
5349.76034375 |
transcript.pyannote[930].speaker |
SPEAKER_20 |
transcript.pyannote[930].start |
5349.86159375 |
transcript.pyannote[930].end |
5349.91221875 |
transcript.pyannote[931].speaker |
SPEAKER_23 |
transcript.pyannote[931].start |
5349.91221875 |
transcript.pyannote[931].end |
5349.94596875 |
transcript.pyannote[932].speaker |
SPEAKER_14 |
transcript.pyannote[932].start |
5349.94596875 |
transcript.pyannote[932].end |
5350.03034375 |
transcript.pyannote[933].speaker |
SPEAKER_23 |
transcript.pyannote[933].start |
5350.03034375 |
transcript.pyannote[933].end |
5350.11471875 |
transcript.pyannote[934].speaker |
SPEAKER_20 |
transcript.pyannote[934].start |
5350.21596875 |
transcript.pyannote[934].end |
5353.59096875 |
transcript.pyannote[935].speaker |
SPEAKER_20 |
transcript.pyannote[935].start |
5353.77659375 |
transcript.pyannote[935].end |
5355.22784375 |
transcript.pyannote[936].speaker |
SPEAKER_23 |
transcript.pyannote[936].start |
5355.22784375 |
transcript.pyannote[936].end |
5357.25284375 |
transcript.pyannote[937].speaker |
SPEAKER_20 |
transcript.pyannote[937].start |
5357.25284375 |
transcript.pyannote[937].end |
5360.18909375 |
transcript.pyannote[938].speaker |
SPEAKER_23 |
transcript.pyannote[938].start |
5360.18909375 |
transcript.pyannote[938].end |
5360.56034375 |
transcript.pyannote[939].speaker |
SPEAKER_15 |
transcript.pyannote[939].start |
5360.56034375 |
transcript.pyannote[939].end |
5360.57721875 |
transcript.pyannote[940].speaker |
SPEAKER_23 |
transcript.pyannote[940].start |
5360.57721875 |
transcript.pyannote[940].end |
5360.59409375 |
transcript.pyannote[941].speaker |
SPEAKER_20 |
transcript.pyannote[941].start |
5360.59409375 |
transcript.pyannote[941].end |
5362.43346875 |
transcript.pyannote[942].speaker |
SPEAKER_20 |
transcript.pyannote[942].start |
5362.70346875 |
transcript.pyannote[942].end |
5364.28971875 |
transcript.pyannote[943].speaker |
SPEAKER_20 |
transcript.pyannote[943].start |
5364.74534375 |
transcript.pyannote[943].end |
5365.55534375 |
transcript.pyannote[944].speaker |
SPEAKER_23 |
transcript.pyannote[944].start |
5365.74096875 |
transcript.pyannote[944].end |
5366.07846875 |
transcript.pyannote[945].speaker |
SPEAKER_20 |
transcript.pyannote[945].start |
5367.44534375 |
transcript.pyannote[945].end |
5367.93471875 |
transcript.pyannote[946].speaker |
SPEAKER_23 |
transcript.pyannote[946].start |
5368.57596875 |
transcript.pyannote[946].end |
5393.75346875 |
transcript.pyannote[947].speaker |
SPEAKER_14 |
transcript.pyannote[947].start |
5372.30534375 |
transcript.pyannote[947].end |
5372.72721875 |
transcript.pyannote[948].speaker |
SPEAKER_23 |
transcript.pyannote[948].start |
5394.12471875 |
transcript.pyannote[948].end |
5399.25471875 |
transcript.pyannote[949].speaker |
SPEAKER_23 |
transcript.pyannote[949].start |
5399.77784375 |
transcript.pyannote[949].end |
5401.12784375 |
transcript.pyannote[950].speaker |
SPEAKER_12 |
transcript.pyannote[950].start |
5401.12784375 |
transcript.pyannote[950].end |
5401.14471875 |
transcript.pyannote[951].speaker |
SPEAKER_23 |
transcript.pyannote[951].start |
5401.88721875 |
transcript.pyannote[951].end |
5402.03909375 |
transcript.pyannote[952].speaker |
SPEAKER_12 |
transcript.pyannote[952].start |
5402.03909375 |
transcript.pyannote[952].end |
5403.33846875 |
transcript.pyannote[953].speaker |
SPEAKER_12 |
transcript.pyannote[953].start |
5403.87846875 |
transcript.pyannote[953].end |
5405.73471875 |
transcript.pyannote[954].speaker |
SPEAKER_12 |
transcript.pyannote[954].start |
5406.78096875 |
transcript.pyannote[954].end |
5410.24034375 |
transcript.pyannote[955].speaker |
SPEAKER_12 |
transcript.pyannote[955].start |
5410.54409375 |
transcript.pyannote[955].end |
5412.28221875 |
transcript.pyannote[956].speaker |
SPEAKER_12 |
transcript.pyannote[956].start |
5412.88971875 |
transcript.pyannote[956].end |
5414.50971875 |
transcript.pyannote[957].speaker |
SPEAKER_20 |
transcript.pyannote[957].start |
5423.77409375 |
transcript.pyannote[957].end |
5425.95096875 |
transcript.pyannote[958].speaker |
SPEAKER_17 |
transcript.pyannote[958].start |
5434.57409375 |
transcript.pyannote[958].end |
5436.07596875 |
transcript.pyannote[959].speaker |
SPEAKER_20 |
transcript.pyannote[959].start |
5437.79721875 |
transcript.pyannote[959].end |
5438.80971875 |
transcript.pyannote[960].speaker |
SPEAKER_21 |
transcript.pyannote[960].start |
5445.34034375 |
transcript.pyannote[960].end |
5446.26846875 |
transcript.pyannote[961].speaker |
SPEAKER_21 |
transcript.pyannote[961].start |
5446.82534375 |
transcript.pyannote[961].end |
5448.29346875 |
transcript.pyannote[962].speaker |
SPEAKER_17 |
transcript.pyannote[962].start |
5447.77034375 |
transcript.pyannote[962].end |
5462.19846875 |
transcript.pyannote[963].speaker |
SPEAKER_16 |
transcript.pyannote[963].start |
5453.81159375 |
transcript.pyannote[963].end |
5454.58784375 |
transcript.pyannote[964].speaker |
SPEAKER_16 |
transcript.pyannote[964].start |
5462.08034375 |
transcript.pyannote[964].end |
5462.09721875 |
transcript.pyannote[965].speaker |
SPEAKER_16 |
transcript.pyannote[965].start |
5462.13096875 |
transcript.pyannote[965].end |
5462.48534375 |
transcript.pyannote[966].speaker |
SPEAKER_17 |
transcript.pyannote[966].start |
5462.38409375 |
transcript.pyannote[966].end |
5492.23596875 |
transcript.pyannote[967].speaker |
SPEAKER_14 |
transcript.pyannote[967].start |
5479.41096875 |
transcript.pyannote[967].end |
5479.96784375 |
transcript.pyannote[968].speaker |
SPEAKER_23 |
transcript.pyannote[968].start |
5479.96784375 |
transcript.pyannote[968].end |
5481.68909375 |
transcript.pyannote[969].speaker |
SPEAKER_14 |
transcript.pyannote[969].start |
5485.68846875 |
transcript.pyannote[969].end |
5486.73471875 |
transcript.pyannote[970].speaker |
SPEAKER_16 |
transcript.pyannote[970].start |
5488.21971875 |
transcript.pyannote[970].end |
5488.72596875 |
transcript.pyannote[971].speaker |
SPEAKER_14 |
transcript.pyannote[971].start |
5488.72596875 |
transcript.pyannote[971].end |
5488.75971875 |
transcript.pyannote[972].speaker |
SPEAKER_16 |
transcript.pyannote[972].start |
5491.59471875 |
transcript.pyannote[972].end |
5492.18534375 |
transcript.pyannote[973].speaker |
SPEAKER_16 |
transcript.pyannote[973].start |
5492.23596875 |
transcript.pyannote[973].end |
5492.45534375 |
transcript.pyannote[974].speaker |
SPEAKER_17 |
transcript.pyannote[974].start |
5492.32034375 |
transcript.pyannote[974].end |
5510.51159375 |
transcript.pyannote[975].speaker |
SPEAKER_14 |
transcript.pyannote[975].start |
5510.51159375 |
transcript.pyannote[975].end |
5510.83221875 |
transcript.pyannote[976].speaker |
SPEAKER_17 |
transcript.pyannote[976].start |
5510.69721875 |
transcript.pyannote[976].end |
5581.58909375 |
transcript.pyannote[977].speaker |
SPEAKER_01 |
transcript.pyannote[977].start |
5551.21409375 |
transcript.pyannote[977].end |
5551.38284375 |
transcript.pyannote[978].speaker |
SPEAKER_01 |
transcript.pyannote[978].start |
5551.53471875 |
transcript.pyannote[978].end |
5551.97346875 |
transcript.pyannote[979].speaker |
SPEAKER_16 |
transcript.pyannote[979].start |
5551.97346875 |
transcript.pyannote[979].end |
5552.58096875 |
transcript.pyannote[980].speaker |
SPEAKER_09 |
transcript.pyannote[980].start |
5567.24534375 |
transcript.pyannote[980].end |
5567.46471875 |
transcript.pyannote[981].speaker |
SPEAKER_16 |
transcript.pyannote[981].start |
5580.67784375 |
transcript.pyannote[981].end |
5580.86346875 |
transcript.pyannote[982].speaker |
SPEAKER_16 |
transcript.pyannote[982].start |
5581.47096875 |
transcript.pyannote[982].end |
5581.87596875 |
transcript.pyannote[983].speaker |
SPEAKER_17 |
transcript.pyannote[983].start |
5581.75784375 |
transcript.pyannote[983].end |
5608.09971875 |
transcript.pyannote[984].speaker |
SPEAKER_16 |
transcript.pyannote[984].start |
5608.09971875 |
transcript.pyannote[984].end |
5608.31909375 |
transcript.pyannote[985].speaker |
SPEAKER_17 |
transcript.pyannote[985].start |
5608.31909375 |
transcript.pyannote[985].end |
5620.53659375 |
transcript.pyannote[986].speaker |
SPEAKER_23 |
transcript.pyannote[986].start |
5621.75159375 |
transcript.pyannote[986].end |
5628.94034375 |
transcript.pyannote[987].speaker |
SPEAKER_17 |
transcript.pyannote[987].start |
5628.94034375 |
transcript.pyannote[987].end |
5635.36971875 |
transcript.pyannote[988].speaker |
SPEAKER_23 |
transcript.pyannote[988].start |
5635.36971875 |
transcript.pyannote[988].end |
5635.40346875 |
transcript.pyannote[989].speaker |
SPEAKER_17 |
transcript.pyannote[989].start |
5635.40346875 |
transcript.pyannote[989].end |
5635.97721875 |
transcript.pyannote[990].speaker |
SPEAKER_23 |
transcript.pyannote[990].start |
5635.97721875 |
transcript.pyannote[990].end |
5643.52034375 |
transcript.pyannote[991].speaker |
SPEAKER_15 |
transcript.pyannote[991].start |
5641.52909375 |
transcript.pyannote[991].end |
5641.59659375 |
transcript.pyannote[992].speaker |
SPEAKER_15 |
transcript.pyannote[992].start |
5643.52034375 |
transcript.pyannote[992].end |
5643.89159375 |
transcript.pyannote[993].speaker |
SPEAKER_23 |
transcript.pyannote[993].start |
5643.89159375 |
transcript.pyannote[993].end |
5648.17784375 |
transcript.pyannote[994].speaker |
SPEAKER_17 |
transcript.pyannote[994].start |
5646.72659375 |
transcript.pyannote[994].end |
5653.25721875 |
transcript.pyannote[995].speaker |
SPEAKER_23 |
transcript.pyannote[995].start |
5648.51534375 |
transcript.pyannote[995].end |
5649.57846875 |
transcript.pyannote[996].speaker |
SPEAKER_23 |
transcript.pyannote[996].start |
5650.75971875 |
transcript.pyannote[996].end |
5662.36971875 |
transcript.pyannote[997].speaker |
SPEAKER_17 |
transcript.pyannote[997].start |
5653.27409375 |
transcript.pyannote[997].end |
5653.76346875 |
transcript.pyannote[998].speaker |
SPEAKER_17 |
transcript.pyannote[998].start |
5654.21909375 |
transcript.pyannote[998].end |
5654.86034375 |
transcript.pyannote[999].speaker |
SPEAKER_17 |
transcript.pyannote[999].start |
5656.59846875 |
transcript.pyannote[999].end |
5666.55471875 |
transcript.pyannote[1000].speaker |
SPEAKER_17 |
transcript.pyannote[1000].start |
5666.62221875 |
transcript.pyannote[1000].end |
5667.02721875 |
transcript.pyannote[1001].speaker |
SPEAKER_17 |
transcript.pyannote[1001].start |
5667.41534375 |
transcript.pyannote[1001].end |
5668.15784375 |
transcript.pyannote[1002].speaker |
SPEAKER_17 |
transcript.pyannote[1002].start |
5668.79909375 |
transcript.pyannote[1002].end |
5669.65971875 |
transcript.pyannote[1003].speaker |
SPEAKER_23 |
transcript.pyannote[1003].start |
5669.99721875 |
transcript.pyannote[1003].end |
5670.43596875 |
transcript.pyannote[1004].speaker |
SPEAKER_17 |
transcript.pyannote[1004].start |
5670.43596875 |
transcript.pyannote[1004].end |
5671.29659375 |
transcript.pyannote[1005].speaker |
SPEAKER_17 |
transcript.pyannote[1005].start |
5674.19909375 |
transcript.pyannote[1005].end |
5678.46846875 |
transcript.pyannote[1006].speaker |
SPEAKER_23 |
transcript.pyannote[1006].start |
5674.51971875 |
transcript.pyannote[1006].end |
5674.67159375 |
transcript.pyannote[1007].speaker |
SPEAKER_17 |
transcript.pyannote[1007].start |
5678.67096875 |
transcript.pyannote[1007].end |
5682.60284375 |
transcript.pyannote[1008].speaker |
SPEAKER_23 |
transcript.pyannote[1008].start |
5681.59034375 |
transcript.pyannote[1008].end |
5689.03221875 |
transcript.pyannote[1009].speaker |
SPEAKER_17 |
transcript.pyannote[1009].start |
5684.29034375 |
transcript.pyannote[1009].end |
5684.57721875 |
transcript.pyannote[1010].speaker |
SPEAKER_17 |
transcript.pyannote[1010].start |
5687.98596875 |
transcript.pyannote[1010].end |
5688.34034375 |
transcript.pyannote[1011].speaker |
SPEAKER_17 |
transcript.pyannote[1011].start |
5689.03221875 |
transcript.pyannote[1011].end |
5696.57534375 |
transcript.pyannote[1012].speaker |
SPEAKER_23 |
transcript.pyannote[1012].start |
5690.70284375 |
transcript.pyannote[1012].end |
5691.02346875 |
transcript.pyannote[1013].speaker |
SPEAKER_15 |
transcript.pyannote[1013].start |
5696.84534375 |
transcript.pyannote[1013].end |
5697.06471875 |
transcript.pyannote[1014].speaker |
SPEAKER_17 |
transcript.pyannote[1014].start |
5697.08159375 |
transcript.pyannote[1014].end |
5697.09846875 |
transcript.pyannote[1015].speaker |
SPEAKER_17 |
transcript.pyannote[1015].start |
5697.13221875 |
transcript.pyannote[1015].end |
5708.53971875 |
transcript.pyannote[1016].speaker |
SPEAKER_16 |
transcript.pyannote[1016].start |
5707.99971875 |
transcript.pyannote[1016].end |
5708.91096875 |
transcript.pyannote[1017].speaker |
SPEAKER_17 |
transcript.pyannote[1017].start |
5708.91096875 |
transcript.pyannote[1017].end |
5726.05596875 |
transcript.pyannote[1018].speaker |
SPEAKER_17 |
transcript.pyannote[1018].start |
5726.19096875 |
transcript.pyannote[1018].end |
5727.01784375 |
transcript.pyannote[1019].speaker |
SPEAKER_16 |
transcript.pyannote[1019].start |
5726.34284375 |
transcript.pyannote[1019].end |
5726.76471875 |
transcript.pyannote[1020].speaker |
SPEAKER_17 |
transcript.pyannote[1020].start |
5727.28784375 |
transcript.pyannote[1020].end |
5740.23096875 |
transcript.pyannote[1021].speaker |
SPEAKER_16 |
transcript.pyannote[1021].start |
5735.80971875 |
transcript.pyannote[1021].end |
5736.18096875 |
transcript.pyannote[1022].speaker |
SPEAKER_15 |
transcript.pyannote[1022].start |
5736.18096875 |
transcript.pyannote[1022].end |
5736.21471875 |
transcript.pyannote[1023].speaker |
SPEAKER_17 |
transcript.pyannote[1023].start |
5740.77096875 |
transcript.pyannote[1023].end |
5741.56409375 |
transcript.pyannote[1024].speaker |
SPEAKER_15 |
transcript.pyannote[1024].start |
5741.73284375 |
transcript.pyannote[1024].end |
5742.18846875 |
transcript.pyannote[1025].speaker |
SPEAKER_17 |
transcript.pyannote[1025].start |
5742.23909375 |
transcript.pyannote[1025].end |
5744.33159375 |
transcript.pyannote[1026].speaker |
SPEAKER_17 |
transcript.pyannote[1026].start |
5744.60159375 |
transcript.pyannote[1026].end |
5745.29346875 |
transcript.pyannote[1027].speaker |
SPEAKER_17 |
transcript.pyannote[1027].start |
5745.52971875 |
transcript.pyannote[1027].end |
5746.66034375 |
transcript.pyannote[1028].speaker |
SPEAKER_17 |
transcript.pyannote[1028].start |
5746.87971875 |
transcript.pyannote[1028].end |
5746.91346875 |
transcript.pyannote[1029].speaker |
SPEAKER_11 |
transcript.pyannote[1029].start |
5746.91346875 |
transcript.pyannote[1029].end |
5747.03159375 |
transcript.pyannote[1030].speaker |
SPEAKER_17 |
transcript.pyannote[1030].start |
5747.03159375 |
transcript.pyannote[1030].end |
5747.20034375 |
transcript.pyannote[1031].speaker |
SPEAKER_11 |
transcript.pyannote[1031].start |
5747.20034375 |
transcript.pyannote[1031].end |
5747.21721875 |
transcript.pyannote[1032].speaker |
SPEAKER_17 |
transcript.pyannote[1032].start |
5747.74034375 |
transcript.pyannote[1032].end |
5748.61784375 |
transcript.pyannote[1033].speaker |
SPEAKER_17 |
transcript.pyannote[1033].start |
5749.29284375 |
transcript.pyannote[1033].end |
5750.40659375 |
transcript.pyannote[1034].speaker |
SPEAKER_17 |
transcript.pyannote[1034].start |
5750.42346875 |
transcript.pyannote[1034].end |
5750.91284375 |
transcript.pyannote[1035].speaker |
SPEAKER_17 |
transcript.pyannote[1035].start |
5751.28409375 |
transcript.pyannote[1035].end |
5752.65096875 |
transcript.pyannote[1036].speaker |
SPEAKER_17 |
transcript.pyannote[1036].start |
5752.93784375 |
transcript.pyannote[1036].end |
5754.76034375 |
transcript.pyannote[1037].speaker |
SPEAKER_17 |
transcript.pyannote[1037].start |
5755.36784375 |
transcript.pyannote[1037].end |
5762.26971875 |
transcript.pyannote[1038].speaker |
SPEAKER_17 |
transcript.pyannote[1038].start |
5762.80971875 |
transcript.pyannote[1038].end |
5764.39596875 |
transcript.pyannote[1039].speaker |
SPEAKER_17 |
transcript.pyannote[1039].start |
5765.02034375 |
transcript.pyannote[1039].end |
5772.88409375 |
transcript.pyannote[1040].speaker |
SPEAKER_17 |
transcript.pyannote[1040].start |
5773.08659375 |
transcript.pyannote[1040].end |
5784.96659375 |
transcript.pyannote[1041].speaker |
SPEAKER_17 |
transcript.pyannote[1041].start |
5785.57409375 |
transcript.pyannote[1041].end |
5787.07596875 |
transcript.pyannote[1042].speaker |
SPEAKER_17 |
transcript.pyannote[1042].start |
5787.58221875 |
transcript.pyannote[1042].end |
5788.02096875 |
transcript.pyannote[1043].speaker |
SPEAKER_17 |
transcript.pyannote[1043].start |
5788.83096875 |
transcript.pyannote[1043].end |
5789.42159375 |
transcript.pyannote[1044].speaker |
SPEAKER_17 |
transcript.pyannote[1044].start |
5789.77596875 |
transcript.pyannote[1044].end |
5792.61096875 |
transcript.pyannote[1045].speaker |
SPEAKER_16 |
transcript.pyannote[1045].start |
5792.49284375 |
transcript.pyannote[1045].end |
5792.50971875 |
transcript.pyannote[1046].speaker |
SPEAKER_16 |
transcript.pyannote[1046].start |
5792.61096875 |
transcript.pyannote[1046].end |
5792.84721875 |
transcript.pyannote[1047].speaker |
SPEAKER_17 |
transcript.pyannote[1047].start |
5793.11721875 |
transcript.pyannote[1047].end |
5807.57909375 |
transcript.pyannote[1048].speaker |
SPEAKER_16 |
transcript.pyannote[1048].start |
5807.57909375 |
transcript.pyannote[1048].end |
5807.88284375 |
transcript.pyannote[1049].speaker |
SPEAKER_17 |
transcript.pyannote[1049].start |
5807.88284375 |
transcript.pyannote[1049].end |
5818.32846875 |
transcript.pyannote[1050].speaker |
SPEAKER_15 |
transcript.pyannote[1050].start |
5818.32846875 |
transcript.pyannote[1050].end |
5818.61534375 |
transcript.pyannote[1051].speaker |
SPEAKER_17 |
transcript.pyannote[1051].start |
5818.61534375 |
transcript.pyannote[1051].end |
5820.18471875 |
transcript.pyannote[1052].speaker |
SPEAKER_15 |
transcript.pyannote[1052].start |
5820.23534375 |
transcript.pyannote[1052].end |
5820.60659375 |
transcript.pyannote[1053].speaker |
SPEAKER_17 |
transcript.pyannote[1053].start |
5820.91034375 |
transcript.pyannote[1053].end |
5822.69909375 |
transcript.pyannote[1054].speaker |
SPEAKER_17 |
transcript.pyannote[1054].start |
5823.40784375 |
transcript.pyannote[1054].end |
5824.13346875 |
transcript.pyannote[1055].speaker |
SPEAKER_17 |
transcript.pyannote[1055].start |
5824.28534375 |
transcript.pyannote[1055].end |
5824.97721875 |
transcript.pyannote[1056].speaker |
SPEAKER_23 |
transcript.pyannote[1056].start |
5825.73659375 |
transcript.pyannote[1056].end |
5825.82096875 |
transcript.pyannote[1057].speaker |
SPEAKER_17 |
transcript.pyannote[1057].start |
5825.82096875 |
transcript.pyannote[1057].end |
5825.83784375 |
transcript.pyannote[1058].speaker |
SPEAKER_23 |
transcript.pyannote[1058].start |
5825.83784375 |
transcript.pyannote[1058].end |
5828.60534375 |
transcript.pyannote[1059].speaker |
SPEAKER_23 |
transcript.pyannote[1059].start |
5828.89221875 |
transcript.pyannote[1059].end |
5829.93846875 |
transcript.pyannote[1060].speaker |
SPEAKER_23 |
transcript.pyannote[1060].start |
5829.95534375 |
transcript.pyannote[1060].end |
5829.97221875 |
transcript.pyannote[1061].speaker |
SPEAKER_23 |
transcript.pyannote[1061].start |
5830.42784375 |
transcript.pyannote[1061].end |
5838.86534375 |
transcript.pyannote[1062].speaker |
SPEAKER_17 |
transcript.pyannote[1062].start |
5838.46034375 |
transcript.pyannote[1062].end |
5842.34159375 |
transcript.pyannote[1063].speaker |
SPEAKER_23 |
transcript.pyannote[1063].start |
5839.45596875 |
transcript.pyannote[1063].end |
5846.13846875 |
transcript.pyannote[1064].speaker |
SPEAKER_15 |
transcript.pyannote[1064].start |
5842.34159375 |
transcript.pyannote[1064].end |
5843.70846875 |
transcript.pyannote[1065].speaker |
SPEAKER_23 |
transcript.pyannote[1065].start |
5846.61096875 |
transcript.pyannote[1065].end |
5847.58971875 |
transcript.pyannote[1066].speaker |
SPEAKER_15 |
transcript.pyannote[1066].start |
5847.58971875 |
transcript.pyannote[1066].end |
5847.84284375 |
transcript.pyannote[1067].speaker |
SPEAKER_23 |
transcript.pyannote[1067].start |
5847.84284375 |
transcript.pyannote[1067].end |
5852.31471875 |
transcript.pyannote[1068].speaker |
SPEAKER_17 |
transcript.pyannote[1068].start |
5852.31471875 |
transcript.pyannote[1068].end |
5852.55096875 |
transcript.pyannote[1069].speaker |
SPEAKER_23 |
transcript.pyannote[1069].start |
5852.55096875 |
transcript.pyannote[1069].end |
5861.69721875 |
transcript.pyannote[1070].speaker |
SPEAKER_17 |
transcript.pyannote[1070].start |
5861.69721875 |
transcript.pyannote[1070].end |
5868.73409375 |
transcript.pyannote[1071].speaker |
SPEAKER_23 |
transcript.pyannote[1071].start |
5868.73409375 |
transcript.pyannote[1071].end |
5868.88596875 |
transcript.pyannote[1072].speaker |
SPEAKER_17 |
transcript.pyannote[1072].start |
5868.88596875 |
transcript.pyannote[1072].end |
5868.97034375 |
transcript.pyannote[1073].speaker |
SPEAKER_23 |
transcript.pyannote[1073].start |
5868.97034375 |
transcript.pyannote[1073].end |
5869.02096875 |
transcript.pyannote[1074].speaker |
SPEAKER_17 |
transcript.pyannote[1074].start |
5869.02096875 |
transcript.pyannote[1074].end |
5869.05471875 |
transcript.pyannote[1075].speaker |
SPEAKER_23 |
transcript.pyannote[1075].start |
5869.05471875 |
transcript.pyannote[1075].end |
5869.18971875 |
transcript.pyannote[1076].speaker |
SPEAKER_17 |
transcript.pyannote[1076].start |
5869.18971875 |
transcript.pyannote[1076].end |
5869.29096875 |
transcript.pyannote[1077].speaker |
SPEAKER_23 |
transcript.pyannote[1077].start |
5869.29096875 |
transcript.pyannote[1077].end |
5883.83721875 |
transcript.pyannote[1078].speaker |
SPEAKER_17 |
transcript.pyannote[1078].start |
5878.03221875 |
transcript.pyannote[1078].end |
5878.47096875 |
transcript.pyannote[1079].speaker |
SPEAKER_17 |
transcript.pyannote[1079].start |
5882.45346875 |
transcript.pyannote[1079].end |
5896.98284375 |
transcript.pyannote[1080].speaker |
SPEAKER_23 |
transcript.pyannote[1080].start |
5885.55846875 |
transcript.pyannote[1080].end |
5887.22909375 |
transcript.pyannote[1081].speaker |
SPEAKER_23 |
transcript.pyannote[1081].start |
5887.39784375 |
transcript.pyannote[1081].end |
5888.32596875 |
transcript.pyannote[1082].speaker |
SPEAKER_23 |
transcript.pyannote[1082].start |
5888.39346875 |
transcript.pyannote[1082].end |
5888.57909375 |
transcript.pyannote[1083].speaker |
SPEAKER_16 |
transcript.pyannote[1083].start |
5896.79721875 |
transcript.pyannote[1083].end |
5896.94909375 |
transcript.pyannote[1084].speaker |
SPEAKER_16 |
transcript.pyannote[1084].start |
5896.98284375 |
transcript.pyannote[1084].end |
5897.03346875 |
transcript.pyannote[1085].speaker |
SPEAKER_17 |
transcript.pyannote[1085].start |
5897.03346875 |
transcript.pyannote[1085].end |
5899.51409375 |
transcript.pyannote[1086].speaker |
SPEAKER_16 |
transcript.pyannote[1086].start |
5899.37909375 |
transcript.pyannote[1086].end |
5899.78409375 |
transcript.pyannote[1087].speaker |
SPEAKER_17 |
transcript.pyannote[1087].start |
5899.78409375 |
transcript.pyannote[1087].end |
5904.01971875 |
transcript.pyannote[1088].speaker |
SPEAKER_16 |
transcript.pyannote[1088].start |
5904.01971875 |
transcript.pyannote[1088].end |
5904.03659375 |
transcript.pyannote[1089].speaker |
SPEAKER_17 |
transcript.pyannote[1089].start |
5904.03659375 |
transcript.pyannote[1089].end |
5907.37784375 |
transcript.pyannote[1090].speaker |
SPEAKER_17 |
transcript.pyannote[1090].start |
5908.59284375 |
transcript.pyannote[1090].end |
5908.62659375 |
transcript.pyannote[1091].speaker |
SPEAKER_23 |
transcript.pyannote[1091].start |
5908.62659375 |
transcript.pyannote[1091].end |
5908.72784375 |
transcript.pyannote[1092].speaker |
SPEAKER_17 |
transcript.pyannote[1092].start |
5908.72784375 |
transcript.pyannote[1092].end |
5909.09909375 |
transcript.pyannote[1093].speaker |
SPEAKER_23 |
transcript.pyannote[1093].start |
5909.09909375 |
transcript.pyannote[1093].end |
5909.21721875 |
transcript.pyannote[1094].speaker |
SPEAKER_17 |
transcript.pyannote[1094].start |
5909.21721875 |
transcript.pyannote[1094].end |
5909.25096875 |
transcript.pyannote[1095].speaker |
SPEAKER_23 |
transcript.pyannote[1095].start |
5909.25096875 |
transcript.pyannote[1095].end |
5914.54971875 |
transcript.pyannote[1096].speaker |
SPEAKER_17 |
transcript.pyannote[1096].start |
5909.63909375 |
transcript.pyannote[1096].end |
5911.42784375 |
transcript.pyannote[1097].speaker |
SPEAKER_17 |
transcript.pyannote[1097].start |
5914.27971875 |
transcript.pyannote[1097].end |
5914.60034375 |
transcript.pyannote[1098].speaker |
SPEAKER_23 |
transcript.pyannote[1098].start |
5914.60034375 |
transcript.pyannote[1098].end |
5935.32284375 |
transcript.pyannote[1099].speaker |
SPEAKER_17 |
transcript.pyannote[1099].start |
5924.28659375 |
transcript.pyannote[1099].end |
5924.40471875 |
transcript.pyannote[1100].speaker |
SPEAKER_17 |
transcript.pyannote[1100].start |
5925.18096875 |
transcript.pyannote[1100].end |
5925.63659375 |
transcript.pyannote[1101].speaker |
SPEAKER_17 |
transcript.pyannote[1101].start |
5926.61534375 |
transcript.pyannote[1101].end |
5926.76721875 |
transcript.pyannote[1102].speaker |
SPEAKER_17 |
transcript.pyannote[1102].start |
5934.88409375 |
transcript.pyannote[1102].end |
5948.58659375 |
transcript.pyannote[1103].speaker |
SPEAKER_23 |
transcript.pyannote[1103].start |
5945.21159375 |
transcript.pyannote[1103].end |
5949.19409375 |
transcript.pyannote[1104].speaker |
SPEAKER_17 |
transcript.pyannote[1104].start |
5949.19409375 |
transcript.pyannote[1104].end |
5949.53159375 |
transcript.pyannote[1105].speaker |
SPEAKER_23 |
transcript.pyannote[1105].start |
5949.53159375 |
transcript.pyannote[1105].end |
5949.54846875 |
transcript.pyannote[1106].speaker |
SPEAKER_23 |
transcript.pyannote[1106].start |
5949.97034375 |
transcript.pyannote[1106].end |
5955.64034375 |
transcript.pyannote[1107].speaker |
SPEAKER_23 |
transcript.pyannote[1107].start |
5956.14659375 |
transcript.pyannote[1107].end |
5963.35221875 |
transcript.pyannote[1108].speaker |
SPEAKER_23 |
transcript.pyannote[1108].start |
5963.70659375 |
transcript.pyannote[1108].end |
5974.03409375 |
transcript.pyannote[1109].speaker |
SPEAKER_17 |
transcript.pyannote[1109].start |
5974.03409375 |
transcript.pyannote[1109].end |
5975.29971875 |
transcript.pyannote[1110].speaker |
SPEAKER_23 |
transcript.pyannote[1110].start |
5974.25346875 |
transcript.pyannote[1110].end |
5975.33346875 |
transcript.pyannote[1111].speaker |
SPEAKER_17 |
transcript.pyannote[1111].start |
5975.33346875 |
transcript.pyannote[1111].end |
5975.40096875 |
transcript.pyannote[1112].speaker |
SPEAKER_23 |
transcript.pyannote[1112].start |
5975.40096875 |
transcript.pyannote[1112].end |
5975.53596875 |
transcript.pyannote[1113].speaker |
SPEAKER_17 |
transcript.pyannote[1113].start |
5975.53596875 |
transcript.pyannote[1113].end |
5982.26909375 |
transcript.pyannote[1114].speaker |
SPEAKER_23 |
transcript.pyannote[1114].start |
5976.48096875 |
transcript.pyannote[1114].end |
5976.97034375 |
transcript.pyannote[1115].speaker |
SPEAKER_23 |
transcript.pyannote[1115].start |
5981.45909375 |
transcript.pyannote[1115].end |
5984.98596875 |
transcript.pyannote[1116].speaker |
SPEAKER_17 |
transcript.pyannote[1116].start |
5984.61471875 |
transcript.pyannote[1116].end |
5987.75346875 |
transcript.pyannote[1117].speaker |
SPEAKER_23 |
transcript.pyannote[1117].start |
5987.75346875 |
transcript.pyannote[1117].end |
5987.97284375 |
transcript.pyannote[1118].speaker |
SPEAKER_17 |
transcript.pyannote[1118].start |
5987.97284375 |
transcript.pyannote[1118].end |
5989.91346875 |
transcript.pyannote[1119].speaker |
SPEAKER_23 |
transcript.pyannote[1119].start |
5989.91346875 |
transcript.pyannote[1119].end |
5989.96409375 |
transcript.pyannote[1120].speaker |
SPEAKER_17 |
transcript.pyannote[1120].start |
5989.96409375 |
transcript.pyannote[1120].end |
5990.80784375 |
transcript.pyannote[1121].speaker |
SPEAKER_23 |
transcript.pyannote[1121].start |
5990.04846875 |
transcript.pyannote[1121].end |
5995.97159375 |
transcript.pyannote[1122].speaker |
SPEAKER_17 |
transcript.pyannote[1122].start |
5991.09471875 |
transcript.pyannote[1122].end |
5991.22971875 |
transcript.pyannote[1123].speaker |
SPEAKER_17 |
transcript.pyannote[1123].start |
5992.47846875 |
transcript.pyannote[1123].end |
5992.90034375 |
transcript.pyannote[1124].speaker |
SPEAKER_17 |
transcript.pyannote[1124].start |
5995.00971875 |
transcript.pyannote[1124].end |
6029.78909375 |
transcript.pyannote[1125].speaker |
SPEAKER_16 |
transcript.pyannote[1125].start |
5998.33409375 |
transcript.pyannote[1125].end |
5998.36784375 |
transcript.pyannote[1126].speaker |
SPEAKER_23 |
transcript.pyannote[1126].start |
5998.36784375 |
transcript.pyannote[1126].end |
5998.41846875 |
transcript.pyannote[1127].speaker |
SPEAKER_16 |
transcript.pyannote[1127].start |
5998.41846875 |
transcript.pyannote[1127].end |
5998.45221875 |
transcript.pyannote[1128].speaker |
SPEAKER_16 |
transcript.pyannote[1128].start |
6005.53971875 |
transcript.pyannote[1128].end |
6005.92784375 |
transcript.pyannote[1129].speaker |
SPEAKER_15 |
transcript.pyannote[1129].start |
6012.74534375 |
transcript.pyannote[1129].end |
6012.81284375 |
transcript.pyannote[1130].speaker |
SPEAKER_20 |
transcript.pyannote[1130].start |
6012.81284375 |
transcript.pyannote[1130].end |
6013.06596875 |
transcript.pyannote[1131].speaker |
SPEAKER_15 |
transcript.pyannote[1131].start |
6013.06596875 |
transcript.pyannote[1131].end |
6013.13346875 |
transcript.pyannote[1132].speaker |
SPEAKER_15 |
transcript.pyannote[1132].start |
6013.84221875 |
transcript.pyannote[1132].end |
6013.87596875 |
transcript.pyannote[1133].speaker |
SPEAKER_20 |
transcript.pyannote[1133].start |
6013.87596875 |
transcript.pyannote[1133].end |
6015.19221875 |
transcript.pyannote[1134].speaker |
SPEAKER_00 |
transcript.pyannote[1134].start |
6015.19221875 |
transcript.pyannote[1134].end |
6015.20909375 |
transcript.pyannote[1135].speaker |
SPEAKER_17 |
transcript.pyannote[1135].start |
6030.26159375 |
transcript.pyannote[1135].end |
6035.79659375 |
transcript.pyannote[1136].speaker |
SPEAKER_17 |
transcript.pyannote[1136].start |
6035.96534375 |
transcript.pyannote[1136].end |
6073.22534375 |
transcript.pyannote[1137].speaker |
SPEAKER_18 |
transcript.pyannote[1137].start |
6046.78221875 |
transcript.pyannote[1137].end |
6047.13659375 |
transcript.pyannote[1138].speaker |
SPEAKER_23 |
transcript.pyannote[1138].start |
6074.18721875 |
transcript.pyannote[1138].end |
6075.73971875 |
transcript.pyannote[1139].speaker |
SPEAKER_17 |
transcript.pyannote[1139].start |
6075.73971875 |
transcript.pyannote[1139].end |
6076.34721875 |
transcript.pyannote[1140].speaker |
SPEAKER_23 |
transcript.pyannote[1140].start |
6076.34721875 |
transcript.pyannote[1140].end |
6078.74346875 |
transcript.pyannote[1141].speaker |
SPEAKER_17 |
transcript.pyannote[1141].start |
6076.36409375 |
transcript.pyannote[1141].end |
6085.72971875 |
transcript.pyannote[1142].speaker |
SPEAKER_23 |
transcript.pyannote[1142].start |
6086.45534375 |
transcript.pyannote[1142].end |
6092.93534375 |
transcript.pyannote[1143].speaker |
SPEAKER_15 |
transcript.pyannote[1143].start |
6092.93534375 |
transcript.pyannote[1143].end |
6093.20534375 |
transcript.pyannote[1144].speaker |
SPEAKER_23 |
transcript.pyannote[1144].start |
6093.20534375 |
transcript.pyannote[1144].end |
6108.46034375 |
transcript.pyannote[1145].speaker |
SPEAKER_15 |
transcript.pyannote[1145].start |
6093.30659375 |
transcript.pyannote[1145].end |
6093.99846875 |
transcript.pyannote[1146].speaker |
SPEAKER_14 |
transcript.pyannote[1146].start |
6100.32659375 |
transcript.pyannote[1146].end |
6100.69784375 |
transcript.pyannote[1147].speaker |
SPEAKER_14 |
transcript.pyannote[1147].start |
6103.78596875 |
transcript.pyannote[1147].end |
6104.81534375 |
transcript.pyannote[1148].speaker |
SPEAKER_23 |
transcript.pyannote[1148].start |
6108.69659375 |
transcript.pyannote[1148].end |
6113.03346875 |
transcript.pyannote[1149].speaker |
SPEAKER_17 |
transcript.pyannote[1149].start |
6112.34159375 |
transcript.pyannote[1149].end |
6138.16034375 |
transcript.pyannote[1150].speaker |
SPEAKER_23 |
transcript.pyannote[1150].start |
6120.08721875 |
transcript.pyannote[1150].end |
6120.64409375 |
transcript.pyannote[1151].speaker |
SPEAKER_13 |
transcript.pyannote[1151].start |
6122.21346875 |
transcript.pyannote[1151].end |
6123.02346875 |
transcript.pyannote[1152].speaker |
SPEAKER_14 |
transcript.pyannote[1152].start |
6123.02346875 |
transcript.pyannote[1152].end |
6123.05721875 |
transcript.pyannote[1153].speaker |
SPEAKER_13 |
transcript.pyannote[1153].start |
6123.05721875 |
transcript.pyannote[1153].end |
6123.09096875 |
transcript.pyannote[1154].speaker |
SPEAKER_14 |
transcript.pyannote[1154].start |
6123.09096875 |
transcript.pyannote[1154].end |
6123.24284375 |
transcript.pyannote[1155].speaker |
SPEAKER_13 |
transcript.pyannote[1155].start |
6123.24284375 |
transcript.pyannote[1155].end |
6123.44534375 |
transcript.pyannote[1156].speaker |
SPEAKER_00 |
transcript.pyannote[1156].start |
6123.44534375 |
transcript.pyannote[1156].end |
6124.01909375 |
transcript.pyannote[1157].speaker |
SPEAKER_14 |
transcript.pyannote[1157].start |
6125.06534375 |
transcript.pyannote[1157].end |
6125.36909375 |
transcript.pyannote[1158].speaker |
SPEAKER_00 |
transcript.pyannote[1158].start |
6125.45346875 |
transcript.pyannote[1158].end |
6125.53784375 |
transcript.pyannote[1159].speaker |
SPEAKER_14 |
transcript.pyannote[1159].start |
6125.53784375 |
transcript.pyannote[1159].end |
6125.94284375 |
transcript.pyannote[1160].speaker |
SPEAKER_00 |
transcript.pyannote[1160].start |
6125.94284375 |
transcript.pyannote[1160].end |
6126.06096875 |
transcript.pyannote[1161].speaker |
SPEAKER_19 |
transcript.pyannote[1161].start |
6130.65096875 |
transcript.pyannote[1161].end |
6132.16971875 |
transcript.pyannote[1162].speaker |
SPEAKER_01 |
transcript.pyannote[1162].start |
6132.16971875 |
transcript.pyannote[1162].end |
6132.20346875 |
transcript.pyannote[1163].speaker |
SPEAKER_17 |
transcript.pyannote[1163].start |
6138.70034375 |
transcript.pyannote[1163].end |
6140.40471875 |
transcript.pyannote[1164].speaker |
SPEAKER_23 |
transcript.pyannote[1164].start |
6140.40471875 |
transcript.pyannote[1164].end |
6154.15784375 |
transcript.pyannote[1165].speaker |
SPEAKER_17 |
transcript.pyannote[1165].start |
6141.92346875 |
transcript.pyannote[1165].end |
6142.68284375 |
transcript.pyannote[1166].speaker |
SPEAKER_20 |
transcript.pyannote[1166].start |
6150.74909375 |
transcript.pyannote[1166].end |
6150.81659375 |
transcript.pyannote[1167].speaker |
SPEAKER_17 |
transcript.pyannote[1167].start |
6150.81659375 |
transcript.pyannote[1167].end |
6152.09909375 |
transcript.pyannote[1168].speaker |
SPEAKER_20 |
transcript.pyannote[1168].start |
6152.09909375 |
transcript.pyannote[1168].end |
6152.11596875 |
transcript.pyannote[1169].speaker |
SPEAKER_17 |
transcript.pyannote[1169].start |
6152.11596875 |
transcript.pyannote[1169].end |
6152.58846875 |
transcript.pyannote[1170].speaker |
SPEAKER_20 |
transcript.pyannote[1170].start |
6152.58846875 |
transcript.pyannote[1170].end |
6152.63909375 |
transcript.pyannote[1171].speaker |
SPEAKER_17 |
transcript.pyannote[1171].start |
6152.63909375 |
transcript.pyannote[1171].end |
6154.44471875 |
transcript.pyannote[1172].speaker |
SPEAKER_23 |
transcript.pyannote[1172].start |
6154.44471875 |
transcript.pyannote[1172].end |
6161.41409375 |
transcript.pyannote[1173].speaker |
SPEAKER_17 |
transcript.pyannote[1173].start |
6154.79909375 |
transcript.pyannote[1173].end |
6154.98471875 |
transcript.pyannote[1174].speaker |
SPEAKER_17 |
transcript.pyannote[1174].start |
6155.27159375 |
transcript.pyannote[1174].end |
6156.65534375 |
transcript.pyannote[1175].speaker |
SPEAKER_17 |
transcript.pyannote[1175].start |
6158.57909375 |
transcript.pyannote[1175].end |
6163.55721875 |
transcript.pyannote[1176].speaker |
SPEAKER_20 |
transcript.pyannote[1176].start |
6161.41409375 |
transcript.pyannote[1176].end |
6161.48159375 |
transcript.pyannote[1177].speaker |
SPEAKER_23 |
transcript.pyannote[1177].start |
6161.48159375 |
transcript.pyannote[1177].end |
6161.97096875 |
transcript.pyannote[1178].speaker |
SPEAKER_20 |
transcript.pyannote[1178].start |
6163.55721875 |
transcript.pyannote[1178].end |
6163.57409375 |
transcript.pyannote[1179].speaker |
SPEAKER_17 |
transcript.pyannote[1179].start |
6163.57409375 |
transcript.pyannote[1179].end |
6163.62471875 |
transcript.pyannote[1180].speaker |
SPEAKER_17 |
transcript.pyannote[1180].start |
6163.91159375 |
transcript.pyannote[1180].end |
6163.92846875 |
transcript.pyannote[1181].speaker |
SPEAKER_20 |
transcript.pyannote[1181].start |
6163.92846875 |
transcript.pyannote[1181].end |
6164.45159375 |
transcript.pyannote[1182].speaker |
SPEAKER_17 |
transcript.pyannote[1182].start |
6164.45159375 |
transcript.pyannote[1182].end |
6164.48534375 |
transcript.pyannote[1183].speaker |
SPEAKER_17 |
transcript.pyannote[1183].start |
6164.53596875 |
transcript.pyannote[1183].end |
6164.97471875 |
transcript.pyannote[1184].speaker |
SPEAKER_23 |
transcript.pyannote[1184].start |
6164.97471875 |
transcript.pyannote[1184].end |
6165.64971875 |
transcript.pyannote[1185].speaker |
SPEAKER_20 |
transcript.pyannote[1185].start |
6165.64971875 |
transcript.pyannote[1185].end |
6167.08409375 |
transcript.pyannote[1186].speaker |
SPEAKER_20 |
transcript.pyannote[1186].start |
6167.43846875 |
transcript.pyannote[1186].end |
6169.54784375 |
transcript.pyannote[1187].speaker |
SPEAKER_20 |
transcript.pyannote[1187].start |
6170.18909375 |
transcript.pyannote[1187].end |
6171.16784375 |
transcript.pyannote[1188].speaker |
SPEAKER_06 |
transcript.pyannote[1188].start |
6177.17534375 |
transcript.pyannote[1188].end |
6180.01034375 |
transcript.pyannote[1189].speaker |
SPEAKER_20 |
transcript.pyannote[1189].start |
6179.84159375 |
transcript.pyannote[1189].end |
6180.61784375 |
transcript.pyannote[1190].speaker |
SPEAKER_06 |
transcript.pyannote[1190].start |
6180.09471875 |
transcript.pyannote[1190].end |
6180.14534375 |
transcript.pyannote[1191].speaker |
SPEAKER_06 |
transcript.pyannote[1191].start |
6180.17909375 |
transcript.pyannote[1191].end |
6180.19596875 |
transcript.pyannote[1192].speaker |
SPEAKER_06 |
transcript.pyannote[1192].start |
6180.22971875 |
transcript.pyannote[1192].end |
6180.26346875 |
transcript.pyannote[1193].speaker |
SPEAKER_06 |
transcript.pyannote[1193].start |
6185.64659375 |
transcript.pyannote[1193].end |
6186.81096875 |
transcript.pyannote[1194].speaker |
SPEAKER_23 |
transcript.pyannote[1194].start |
6186.43971875 |
transcript.pyannote[1194].end |
6187.87409375 |
transcript.pyannote[1195].speaker |
SPEAKER_06 |
transcript.pyannote[1195].start |
6187.87409375 |
transcript.pyannote[1195].end |
6203.65221875 |
transcript.pyannote[1196].speaker |
SPEAKER_23 |
transcript.pyannote[1196].start |
6190.99596875 |
transcript.pyannote[1196].end |
6192.04221875 |
transcript.pyannote[1197].speaker |
SPEAKER_06 |
transcript.pyannote[1197].start |
6203.87159375 |
transcript.pyannote[1197].end |
6214.68846875 |
transcript.pyannote[1198].speaker |
SPEAKER_06 |
transcript.pyannote[1198].start |
6215.11034375 |
transcript.pyannote[1198].end |
6215.86971875 |
transcript.pyannote[1199].speaker |
SPEAKER_06 |
transcript.pyannote[1199].start |
6216.05534375 |
transcript.pyannote[1199].end |
6217.38846875 |
transcript.pyannote[1200].speaker |
SPEAKER_06 |
transcript.pyannote[1200].start |
6217.99596875 |
transcript.pyannote[1200].end |
6220.62846875 |
transcript.pyannote[1201].speaker |
SPEAKER_14 |
transcript.pyannote[1201].start |
6220.98284375 |
transcript.pyannote[1201].end |
6221.32034375 |
transcript.pyannote[1202].speaker |
SPEAKER_06 |
transcript.pyannote[1202].start |
6221.32034375 |
transcript.pyannote[1202].end |
6222.73784375 |
transcript.pyannote[1203].speaker |
SPEAKER_06 |
transcript.pyannote[1203].start |
6222.90659375 |
transcript.pyannote[1203].end |
6235.57971875 |
transcript.pyannote[1204].speaker |
SPEAKER_00 |
transcript.pyannote[1204].start |
6233.60534375 |
transcript.pyannote[1204].end |
6233.99346875 |
transcript.pyannote[1205].speaker |
SPEAKER_14 |
transcript.pyannote[1205].start |
6233.99346875 |
transcript.pyannote[1205].end |
6234.02721875 |
transcript.pyannote[1206].speaker |
SPEAKER_23 |
transcript.pyannote[1206].start |
6234.02721875 |
transcript.pyannote[1206].end |
6234.26346875 |
transcript.pyannote[1207].speaker |
SPEAKER_06 |
transcript.pyannote[1207].start |
6236.08596875 |
transcript.pyannote[1207].end |
6250.71659375 |
transcript.pyannote[1208].speaker |
SPEAKER_06 |
transcript.pyannote[1208].start |
6250.95284375 |
transcript.pyannote[1208].end |
6253.19721875 |
transcript.pyannote[1209].speaker |
SPEAKER_23 |
transcript.pyannote[1209].start |
6253.58534375 |
transcript.pyannote[1209].end |
6256.06596875 |
transcript.pyannote[1210].speaker |
SPEAKER_23 |
transcript.pyannote[1210].start |
6256.70721875 |
transcript.pyannote[1210].end |
6262.79909375 |
transcript.pyannote[1211].speaker |
SPEAKER_06 |
transcript.pyannote[1211].start |
6262.68096875 |
transcript.pyannote[1211].end |
6281.74971875 |
transcript.pyannote[1212].speaker |
SPEAKER_23 |
transcript.pyannote[1212].start |
6263.08596875 |
transcript.pyannote[1212].end |
6264.70596875 |
transcript.pyannote[1213].speaker |
SPEAKER_23 |
transcript.pyannote[1213].start |
6270.12284375 |
transcript.pyannote[1213].end |
6270.17346875 |
transcript.pyannote[1214].speaker |
SPEAKER_14 |
transcript.pyannote[1214].start |
6270.17346875 |
transcript.pyannote[1214].end |
6270.51096875 |
transcript.pyannote[1215].speaker |
SPEAKER_23 |
transcript.pyannote[1215].start |
6270.51096875 |
transcript.pyannote[1215].end |
6270.54471875 |
transcript.pyannote[1216].speaker |
SPEAKER_00 |
transcript.pyannote[1216].start |
6277.85159375 |
transcript.pyannote[1216].end |
6277.90221875 |
transcript.pyannote[1217].speaker |
SPEAKER_23 |
transcript.pyannote[1217].start |
6277.90221875 |
transcript.pyannote[1217].end |
6287.35221875 |
transcript.pyannote[1218].speaker |
SPEAKER_06 |
transcript.pyannote[1218].start |
6287.45346875 |
transcript.pyannote[1218].end |
6291.36846875 |
transcript.pyannote[1219].speaker |
SPEAKER_23 |
transcript.pyannote[1219].start |
6288.55034375 |
transcript.pyannote[1219].end |
6292.29659375 |
transcript.pyannote[1220].speaker |
SPEAKER_06 |
transcript.pyannote[1220].start |
6292.06034375 |
transcript.pyannote[1220].end |
6294.57471875 |
transcript.pyannote[1221].speaker |
SPEAKER_06 |
transcript.pyannote[1221].start |
6294.99659375 |
transcript.pyannote[1221].end |
6296.07659375 |
transcript.pyannote[1222].speaker |
SPEAKER_23 |
transcript.pyannote[1222].start |
6296.07659375 |
transcript.pyannote[1222].end |
6297.46034375 |
transcript.pyannote[1223].speaker |
SPEAKER_06 |
transcript.pyannote[1223].start |
6296.12721875 |
transcript.pyannote[1223].end |
6297.96659375 |
transcript.pyannote[1224].speaker |
SPEAKER_23 |
transcript.pyannote[1224].start |
6297.96659375 |
transcript.pyannote[1224].end |
6302.35409375 |
transcript.pyannote[1225].speaker |
SPEAKER_06 |
transcript.pyannote[1225].start |
6301.30784375 |
transcript.pyannote[1225].end |
6309.96471875 |
transcript.pyannote[1226].speaker |
SPEAKER_23 |
transcript.pyannote[1226].start |
6307.66971875 |
transcript.pyannote[1226].end |
6307.87221875 |
transcript.pyannote[1227].speaker |
SPEAKER_14 |
transcript.pyannote[1227].start |
6307.87221875 |
transcript.pyannote[1227].end |
6308.02409375 |
transcript.pyannote[1228].speaker |
SPEAKER_06 |
transcript.pyannote[1228].start |
6310.42034375 |
transcript.pyannote[1228].end |
6313.17096875 |
transcript.pyannote[1229].speaker |
SPEAKER_06 |
transcript.pyannote[1229].start |
6313.72784375 |
transcript.pyannote[1229].end |
6326.31659375 |
transcript.pyannote[1230].speaker |
SPEAKER_14 |
transcript.pyannote[1230].start |
6315.85409375 |
transcript.pyannote[1230].end |
6315.95534375 |
transcript.pyannote[1231].speaker |
SPEAKER_16 |
transcript.pyannote[1231].start |
6321.84471875 |
transcript.pyannote[1231].end |
6322.21596875 |
transcript.pyannote[1232].speaker |
SPEAKER_06 |
transcript.pyannote[1232].start |
6327.64971875 |
transcript.pyannote[1232].end |
6336.15471875 |
transcript.pyannote[1233].speaker |
SPEAKER_06 |
transcript.pyannote[1233].start |
6336.69471875 |
transcript.pyannote[1233].end |
6399.41909375 |
transcript.pyannote[1234].speaker |
SPEAKER_00 |
transcript.pyannote[1234].start |
6352.55721875 |
transcript.pyannote[1234].end |
6352.62471875 |
transcript.pyannote[1235].speaker |
SPEAKER_03 |
transcript.pyannote[1235].start |
6352.62471875 |
transcript.pyannote[1235].end |
6352.82721875 |
transcript.pyannote[1236].speaker |
SPEAKER_00 |
transcript.pyannote[1236].start |
6352.82721875 |
transcript.pyannote[1236].end |
6353.04659375 |
transcript.pyannote[1237].speaker |
SPEAKER_23 |
transcript.pyannote[1237].start |
6400.73534375 |
transcript.pyannote[1237].end |
6405.51096875 |
transcript.pyannote[1238].speaker |
SPEAKER_23 |
transcript.pyannote[1238].start |
6405.79784375 |
transcript.pyannote[1238].end |
6409.96596875 |
transcript.pyannote[1239].speaker |
SPEAKER_06 |
transcript.pyannote[1239].start |
6410.96159375 |
transcript.pyannote[1239].end |
6416.22659375 |
transcript.pyannote[1240].speaker |
SPEAKER_23 |
transcript.pyannote[1240].start |
6413.25659375 |
transcript.pyannote[1240].end |
6428.86596875 |
transcript.pyannote[1241].speaker |
SPEAKER_23 |
transcript.pyannote[1241].start |
6429.20346875 |
transcript.pyannote[1241].end |
6433.94534375 |
transcript.pyannote[1242].speaker |
SPEAKER_23 |
transcript.pyannote[1242].start |
6434.53596875 |
transcript.pyannote[1242].end |
6438.36659375 |
transcript.pyannote[1243].speaker |
SPEAKER_23 |
transcript.pyannote[1243].start |
6438.94034375 |
transcript.pyannote[1243].end |
6440.03721875 |
transcript.pyannote[1244].speaker |
SPEAKER_06 |
transcript.pyannote[1244].start |
6440.03721875 |
transcript.pyannote[1244].end |
6440.37471875 |
transcript.pyannote[1245].speaker |
SPEAKER_23 |
transcript.pyannote[1245].start |
6440.37471875 |
transcript.pyannote[1245].end |
6440.67846875 |
transcript.pyannote[1246].speaker |
SPEAKER_06 |
transcript.pyannote[1246].start |
6440.67846875 |
transcript.pyannote[1246].end |
6476.82471875 |
transcript.pyannote[1247].speaker |
SPEAKER_23 |
transcript.pyannote[1247].start |
6446.19659375 |
transcript.pyannote[1247].end |
6447.32721875 |
transcript.pyannote[1248].speaker |
SPEAKER_00 |
transcript.pyannote[1248].start |
6447.32721875 |
transcript.pyannote[1248].end |
6447.37784375 |
transcript.pyannote[1249].speaker |
SPEAKER_23 |
transcript.pyannote[1249].start |
6448.37346875 |
transcript.pyannote[1249].end |
6448.96409375 |
transcript.pyannote[1250].speaker |
SPEAKER_04 |
transcript.pyannote[1250].start |
6448.96409375 |
transcript.pyannote[1250].end |
6449.95971875 |
transcript.pyannote[1251].speaker |
SPEAKER_00 |
transcript.pyannote[1251].start |
6451.49534375 |
transcript.pyannote[1251].end |
6451.52909375 |
transcript.pyannote[1252].speaker |
SPEAKER_04 |
transcript.pyannote[1252].start |
6451.52909375 |
transcript.pyannote[1252].end |
6453.53721875 |
transcript.pyannote[1253].speaker |
SPEAKER_00 |
transcript.pyannote[1253].start |
6453.53721875 |
transcript.pyannote[1253].end |
6453.60471875 |
transcript.pyannote[1254].speaker |
SPEAKER_04 |
transcript.pyannote[1254].start |
6455.15721875 |
transcript.pyannote[1254].end |
6456.22034375 |
transcript.pyannote[1255].speaker |
SPEAKER_14 |
transcript.pyannote[1255].start |
6457.85721875 |
transcript.pyannote[1255].end |
6458.04284375 |
transcript.pyannote[1256].speaker |
SPEAKER_14 |
transcript.pyannote[1256].start |
6458.05971875 |
transcript.pyannote[1256].end |
6458.07659375 |
transcript.pyannote[1257].speaker |
SPEAKER_14 |
transcript.pyannote[1257].start |
6462.36284375 |
transcript.pyannote[1257].end |
6462.95346875 |
transcript.pyannote[1258].speaker |
SPEAKER_23 |
transcript.pyannote[1258].start |
6470.34471875 |
transcript.pyannote[1258].end |
6470.66534375 |
transcript.pyannote[1259].speaker |
SPEAKER_23 |
transcript.pyannote[1259].start |
6475.39034375 |
transcript.pyannote[1259].end |
6482.54534375 |
transcript.pyannote[1260].speaker |
SPEAKER_23 |
transcript.pyannote[1260].start |
6482.84909375 |
transcript.pyannote[1260].end |
6486.19034375 |
transcript.pyannote[1261].speaker |
SPEAKER_06 |
transcript.pyannote[1261].start |
6482.89971875 |
transcript.pyannote[1261].end |
6483.64221875 |
transcript.pyannote[1262].speaker |
SPEAKER_23 |
transcript.pyannote[1262].start |
6486.34221875 |
transcript.pyannote[1262].end |
6490.02096875 |
transcript.pyannote[1263].speaker |
SPEAKER_06 |
transcript.pyannote[1263].start |
6488.78909375 |
transcript.pyannote[1263].end |
6493.91909375 |
transcript.pyannote[1264].speaker |
SPEAKER_23 |
transcript.pyannote[1264].start |
6491.82659375 |
transcript.pyannote[1264].end |
6500.28096875 |
transcript.pyannote[1265].speaker |
SPEAKER_06 |
transcript.pyannote[1265].start |
6496.07909375 |
transcript.pyannote[1265].end |
6498.39096875 |
transcript.pyannote[1266].speaker |
SPEAKER_23 |
transcript.pyannote[1266].start |
6500.70284375 |
transcript.pyannote[1266].end |
6504.87096875 |
transcript.pyannote[1267].speaker |
SPEAKER_23 |
transcript.pyannote[1267].start |
6505.32659375 |
transcript.pyannote[1267].end |
6512.32971875 |
transcript.pyannote[1268].speaker |
SPEAKER_06 |
transcript.pyannote[1268].start |
6511.33409375 |
transcript.pyannote[1268].end |
6536.20784375 |
transcript.pyannote[1269].speaker |
SPEAKER_23 |
transcript.pyannote[1269].start |
6513.73034375 |
transcript.pyannote[1269].end |
6514.20284375 |
transcript.pyannote[1270].speaker |
SPEAKER_14 |
transcript.pyannote[1270].start |
6520.96971875 |
transcript.pyannote[1270].end |
6522.28596875 |
transcript.pyannote[1271].speaker |
SPEAKER_23 |
transcript.pyannote[1271].start |
6530.25096875 |
transcript.pyannote[1271].end |
6530.38596875 |
transcript.pyannote[1272].speaker |
SPEAKER_23 |
transcript.pyannote[1272].start |
6534.16596875 |
transcript.pyannote[1272].end |
6534.31784375 |
transcript.pyannote[1273].speaker |
SPEAKER_23 |
transcript.pyannote[1273].start |
6535.78596875 |
transcript.pyannote[1273].end |
6537.82784375 |
transcript.pyannote[1274].speaker |
SPEAKER_06 |
transcript.pyannote[1274].start |
6537.47346875 |
transcript.pyannote[1274].end |
6573.38346875 |
transcript.pyannote[1275].speaker |
SPEAKER_23 |
transcript.pyannote[1275].start |
6540.59534375 |
transcript.pyannote[1275].end |
6540.94971875 |
transcript.pyannote[1276].speaker |
SPEAKER_23 |
transcript.pyannote[1276].start |
6541.94534375 |
transcript.pyannote[1276].end |
6543.71721875 |
transcript.pyannote[1277].speaker |
SPEAKER_23 |
transcript.pyannote[1277].start |
6543.98721875 |
transcript.pyannote[1277].end |
6544.79721875 |
transcript.pyannote[1278].speaker |
SPEAKER_06 |
transcript.pyannote[1278].start |
6573.51846875 |
transcript.pyannote[1278].end |
6575.17221875 |
transcript.pyannote[1279].speaker |
SPEAKER_06 |
transcript.pyannote[1279].start |
6575.71221875 |
transcript.pyannote[1279].end |
6606.35721875 |
transcript.pyannote[1280].speaker |
SPEAKER_23 |
transcript.pyannote[1280].start |
6605.10846875 |
transcript.pyannote[1280].end |
6616.83659375 |
transcript.pyannote[1281].speaker |
SPEAKER_06 |
transcript.pyannote[1281].start |
6607.94346875 |
transcript.pyannote[1281].end |
6608.14596875 |
transcript.pyannote[1282].speaker |
SPEAKER_23 |
transcript.pyannote[1282].start |
6617.02221875 |
transcript.pyannote[1282].end |
6641.11971875 |
transcript.pyannote[1283].speaker |
SPEAKER_06 |
transcript.pyannote[1283].start |
6640.57971875 |
transcript.pyannote[1283].end |
6643.49909375 |
transcript.pyannote[1284].speaker |
SPEAKER_23 |
transcript.pyannote[1284].start |
6643.49909375 |
transcript.pyannote[1284].end |
6643.81971875 |
transcript.pyannote[1285].speaker |
SPEAKER_23 |
transcript.pyannote[1285].start |
6644.19096875 |
transcript.pyannote[1285].end |
6652.08846875 |
transcript.pyannote[1286].speaker |
SPEAKER_06 |
transcript.pyannote[1286].start |
6649.08471875 |
transcript.pyannote[1286].end |
6686.71596875 |
transcript.pyannote[1287].speaker |
SPEAKER_16 |
transcript.pyannote[1287].start |
6660.86346875 |
transcript.pyannote[1287].end |
6661.09971875 |
transcript.pyannote[1288].speaker |
SPEAKER_00 |
transcript.pyannote[1288].start |
6670.39784375 |
transcript.pyannote[1288].end |
6670.75221875 |
transcript.pyannote[1289].speaker |
SPEAKER_23 |
transcript.pyannote[1289].start |
6686.71596875 |
transcript.pyannote[1289].end |
6716.38221875 |
transcript.pyannote[1290].speaker |
SPEAKER_06 |
transcript.pyannote[1290].start |
6689.92221875 |
transcript.pyannote[1290].end |
6690.29346875 |
transcript.pyannote[1291].speaker |
SPEAKER_06 |
transcript.pyannote[1291].start |
6708.80534375 |
transcript.pyannote[1291].end |
6709.86846875 |
transcript.pyannote[1292].speaker |
SPEAKER_06 |
transcript.pyannote[1292].start |
6715.75784375 |
transcript.pyannote[1292].end |
6719.50409375 |
transcript.pyannote[1293].speaker |
SPEAKER_06 |
transcript.pyannote[1293].start |
6720.31409375 |
transcript.pyannote[1293].end |
6720.36471875 |
transcript.pyannote[1294].speaker |
SPEAKER_23 |
transcript.pyannote[1294].start |
6720.36471875 |
transcript.pyannote[1294].end |
6720.63471875 |
transcript.pyannote[1295].speaker |
SPEAKER_06 |
transcript.pyannote[1295].start |
6720.63471875 |
transcript.pyannote[1295].end |
6720.93846875 |
transcript.pyannote[1296].speaker |
SPEAKER_23 |
transcript.pyannote[1296].start |
6720.93846875 |
transcript.pyannote[1296].end |
6720.97221875 |
transcript.pyannote[1297].speaker |
SPEAKER_06 |
transcript.pyannote[1297].start |
6720.97221875 |
transcript.pyannote[1297].end |
6721.07346875 |
transcript.pyannote[1298].speaker |
SPEAKER_23 |
transcript.pyannote[1298].start |
6721.07346875 |
transcript.pyannote[1298].end |
6721.14096875 |
transcript.pyannote[1299].speaker |
SPEAKER_06 |
transcript.pyannote[1299].start |
6721.14096875 |
transcript.pyannote[1299].end |
6721.22534375 |
transcript.pyannote[1300].speaker |
SPEAKER_23 |
transcript.pyannote[1300].start |
6721.22534375 |
transcript.pyannote[1300].end |
6737.08784375 |
transcript.pyannote[1301].speaker |
SPEAKER_06 |
transcript.pyannote[1301].start |
6721.63034375 |
transcript.pyannote[1301].end |
6724.88721875 |
transcript.pyannote[1302].speaker |
SPEAKER_23 |
transcript.pyannote[1302].start |
6737.54346875 |
transcript.pyannote[1302].end |
6750.68909375 |
transcript.pyannote[1303].speaker |
SPEAKER_23 |
transcript.pyannote[1303].start |
6751.02659375 |
transcript.pyannote[1303].end |
6753.03471875 |
transcript.pyannote[1304].speaker |
SPEAKER_06 |
transcript.pyannote[1304].start |
6752.02221875 |
transcript.pyannote[1304].end |
6752.93346875 |
transcript.pyannote[1305].speaker |
SPEAKER_06 |
transcript.pyannote[1305].start |
6753.03471875 |
transcript.pyannote[1305].end |
6767.09159375 |
transcript.pyannote[1306].speaker |
SPEAKER_23 |
transcript.pyannote[1306].start |
6754.50284375 |
transcript.pyannote[1306].end |
6756.02159375 |
transcript.pyannote[1307].speaker |
SPEAKER_23 |
transcript.pyannote[1307].start |
6757.03409375 |
transcript.pyannote[1307].end |
6758.14784375 |
transcript.pyannote[1308].speaker |
SPEAKER_23 |
transcript.pyannote[1308].start |
6759.00846875 |
transcript.pyannote[1308].end |
6760.27409375 |
transcript.pyannote[1309].speaker |
SPEAKER_23 |
transcript.pyannote[1309].start |
6764.88096875 |
transcript.pyannote[1309].end |
6769.21784375 |
transcript.pyannote[1310].speaker |
SPEAKER_06 |
transcript.pyannote[1310].start |
6768.35721875 |
transcript.pyannote[1310].end |
6779.54534375 |
transcript.pyannote[1311].speaker |
SPEAKER_23 |
transcript.pyannote[1311].start |
6779.54534375 |
transcript.pyannote[1311].end |
6779.56221875 |
transcript.pyannote[1312].speaker |
SPEAKER_06 |
transcript.pyannote[1312].start |
6779.56221875 |
transcript.pyannote[1312].end |
6806.15721875 |
transcript.pyannote[1313].speaker |
SPEAKER_23 |
transcript.pyannote[1313].start |
6780.43971875 |
transcript.pyannote[1313].end |
6782.78534375 |
transcript.pyannote[1314].speaker |
SPEAKER_14 |
transcript.pyannote[1314].start |
6789.95721875 |
transcript.pyannote[1314].end |
6790.96971875 |
transcript.pyannote[1315].speaker |
SPEAKER_14 |
transcript.pyannote[1315].start |
6791.05409375 |
transcript.pyannote[1315].end |
6791.07096875 |
transcript.pyannote[1316].speaker |
SPEAKER_14 |
transcript.pyannote[1316].start |
6791.32409375 |
transcript.pyannote[1316].end |
6791.77971875 |
transcript.pyannote[1317].speaker |
SPEAKER_23 |
transcript.pyannote[1317].start |
6806.15721875 |
transcript.pyannote[1317].end |
6814.84784375 |
transcript.pyannote[1318].speaker |
SPEAKER_06 |
transcript.pyannote[1318].start |
6811.92846875 |
transcript.pyannote[1318].end |
6820.97346875 |
transcript.pyannote[1319].speaker |
SPEAKER_23 |
transcript.pyannote[1319].start |
6820.97346875 |
transcript.pyannote[1319].end |
6838.16909375 |
transcript.pyannote[1320].speaker |
SPEAKER_06 |
transcript.pyannote[1320].start |
6833.64659375 |
transcript.pyannote[1320].end |
6833.93346875 |
transcript.pyannote[1321].speaker |
SPEAKER_06 |
transcript.pyannote[1321].start |
6836.04284375 |
transcript.pyannote[1321].end |
6836.11034375 |
transcript.pyannote[1322].speaker |
SPEAKER_20 |
transcript.pyannote[1322].start |
6836.11034375 |
transcript.pyannote[1322].end |
6836.16096875 |
transcript.pyannote[1323].speaker |
SPEAKER_06 |
transcript.pyannote[1323].start |
6836.16096875 |
transcript.pyannote[1323].end |
6837.32534375 |
transcript.pyannote[1324].speaker |
SPEAKER_20 |
transcript.pyannote[1324].start |
6837.32534375 |
transcript.pyannote[1324].end |
6838.35471875 |
transcript.pyannote[1325].speaker |
SPEAKER_23 |
transcript.pyannote[1325].start |
6838.35471875 |
transcript.pyannote[1325].end |
6838.64159375 |
transcript.pyannote[1326].speaker |
SPEAKER_20 |
transcript.pyannote[1326].start |
6838.91159375 |
transcript.pyannote[1326].end |
6843.19784375 |
transcript.pyannote[1327].speaker |
SPEAKER_03 |
transcript.pyannote[1327].start |
6854.80784375 |
transcript.pyannote[1327].end |
6856.37721875 |
transcript.pyannote[1328].speaker |
SPEAKER_20 |
transcript.pyannote[1328].start |
6857.13659375 |
transcript.pyannote[1328].end |
6857.98034375 |
transcript.pyannote[1329].speaker |
SPEAKER_20 |
transcript.pyannote[1329].start |
6858.43596875 |
transcript.pyannote[1329].end |
6858.45284375 |
transcript.pyannote[1330].speaker |
SPEAKER_03 |
transcript.pyannote[1330].start |
6858.45284375 |
transcript.pyannote[1330].end |
6858.68909375 |
transcript.pyannote[1331].speaker |
SPEAKER_20 |
transcript.pyannote[1331].start |
6863.44784375 |
transcript.pyannote[1331].end |
6863.48159375 |
transcript.pyannote[1332].speaker |
SPEAKER_23 |
transcript.pyannote[1332].start |
6863.48159375 |
transcript.pyannote[1332].end |
6864.08909375 |
transcript.pyannote[1333].speaker |
SPEAKER_23 |
transcript.pyannote[1333].start |
6864.25784375 |
transcript.pyannote[1333].end |
6864.39284375 |
transcript.pyannote[1334].speaker |
SPEAKER_03 |
transcript.pyannote[1334].start |
6864.39284375 |
transcript.pyannote[1334].end |
6864.49409375 |
transcript.pyannote[1335].speaker |
SPEAKER_03 |
transcript.pyannote[1335].start |
6864.71346875 |
transcript.pyannote[1335].end |
6927.62346875 |
transcript.pyannote[1336].speaker |
SPEAKER_14 |
transcript.pyannote[1336].start |
6870.73784375 |
transcript.pyannote[1336].end |
6871.15971875 |
transcript.pyannote[1337].speaker |
SPEAKER_00 |
transcript.pyannote[1337].start |
6895.69596875 |
transcript.pyannote[1337].end |
6895.72971875 |
transcript.pyannote[1338].speaker |
SPEAKER_06 |
transcript.pyannote[1338].start |
6895.72971875 |
transcript.pyannote[1338].end |
6896.13471875 |
transcript.pyannote[1339].speaker |
SPEAKER_00 |
transcript.pyannote[1339].start |
6896.13471875 |
transcript.pyannote[1339].end |
6896.15159375 |
transcript.pyannote[1340].speaker |
SPEAKER_00 |
transcript.pyannote[1340].start |
6901.75409375 |
transcript.pyannote[1340].end |
6901.77096875 |
transcript.pyannote[1341].speaker |
SPEAKER_14 |
transcript.pyannote[1341].start |
6901.77096875 |
transcript.pyannote[1341].end |
6901.82159375 |
transcript.pyannote[1342].speaker |
SPEAKER_00 |
transcript.pyannote[1342].start |
6901.82159375 |
transcript.pyannote[1342].end |
6901.97346875 |
transcript.pyannote[1343].speaker |
SPEAKER_00 |
transcript.pyannote[1343].start |
6908.47034375 |
transcript.pyannote[1343].end |
6908.55471875 |
transcript.pyannote[1344].speaker |
SPEAKER_14 |
transcript.pyannote[1344].start |
6908.55471875 |
transcript.pyannote[1344].end |
6908.68971875 |
transcript.pyannote[1345].speaker |
SPEAKER_00 |
transcript.pyannote[1345].start |
6908.68971875 |
transcript.pyannote[1345].end |
6908.89221875 |
transcript.pyannote[1346].speaker |
SPEAKER_03 |
transcript.pyannote[1346].start |
6927.84284375 |
transcript.pyannote[1346].end |
6928.46721875 |
transcript.pyannote[1347].speaker |
SPEAKER_03 |
transcript.pyannote[1347].start |
6928.73721875 |
transcript.pyannote[1347].end |
6968.12346875 |
transcript.pyannote[1348].speaker |
SPEAKER_14 |
transcript.pyannote[1348].start |
6942.05159375 |
transcript.pyannote[1348].end |
6942.08534375 |
transcript.pyannote[1349].speaker |
SPEAKER_01 |
transcript.pyannote[1349].start |
6942.08534375 |
transcript.pyannote[1349].end |
6942.18659375 |
transcript.pyannote[1350].speaker |
SPEAKER_14 |
transcript.pyannote[1350].start |
6942.18659375 |
transcript.pyannote[1350].end |
6942.20346875 |
transcript.pyannote[1351].speaker |
SPEAKER_01 |
transcript.pyannote[1351].start |
6942.20346875 |
transcript.pyannote[1351].end |
6942.30471875 |
transcript.pyannote[1352].speaker |
SPEAKER_14 |
transcript.pyannote[1352].start |
6942.30471875 |
transcript.pyannote[1352].end |
6942.33846875 |
transcript.pyannote[1353].speaker |
SPEAKER_00 |
transcript.pyannote[1353].start |
6950.03346875 |
transcript.pyannote[1353].end |
6950.06721875 |
transcript.pyannote[1354].speaker |
SPEAKER_23 |
transcript.pyannote[1354].start |
6968.12346875 |
transcript.pyannote[1354].end |
6971.54909375 |
transcript.pyannote[1355].speaker |
SPEAKER_23 |
transcript.pyannote[1355].start |
6971.73471875 |
transcript.pyannote[1355].end |
6978.73784375 |
transcript.pyannote[1356].speaker |
SPEAKER_23 |
transcript.pyannote[1356].start |
6979.12596875 |
transcript.pyannote[1356].end |
6983.34471875 |
transcript.pyannote[1357].speaker |
SPEAKER_23 |
transcript.pyannote[1357].start |
6983.96909375 |
transcript.pyannote[1357].end |
6986.12909375 |
transcript.pyannote[1358].speaker |
SPEAKER_23 |
transcript.pyannote[1358].start |
6986.61846875 |
transcript.pyannote[1358].end |
6987.79971875 |
transcript.pyannote[1359].speaker |
SPEAKER_23 |
transcript.pyannote[1359].start |
6987.91784375 |
transcript.pyannote[1359].end |
6989.03159375 |
transcript.pyannote[1360].speaker |
SPEAKER_23 |
transcript.pyannote[1360].start |
6989.38596875 |
transcript.pyannote[1360].end |
6995.22471875 |
transcript.pyannote[1361].speaker |
SPEAKER_03 |
transcript.pyannote[1361].start |
6995.22471875 |
transcript.pyannote[1361].end |
6995.42721875 |
transcript.pyannote[1362].speaker |
SPEAKER_23 |
transcript.pyannote[1362].start |
6995.42721875 |
transcript.pyannote[1362].end |
6995.51159375 |
transcript.pyannote[1363].speaker |
SPEAKER_03 |
transcript.pyannote[1363].start |
6995.51159375 |
transcript.pyannote[1363].end |
6995.56221875 |
transcript.pyannote[1364].speaker |
SPEAKER_23 |
transcript.pyannote[1364].start |
6995.56221875 |
transcript.pyannote[1364].end |
6995.61284375 |
transcript.pyannote[1365].speaker |
SPEAKER_03 |
transcript.pyannote[1365].start |
6995.61284375 |
transcript.pyannote[1365].end |
6997.63784375 |
transcript.pyannote[1366].speaker |
SPEAKER_23 |
transcript.pyannote[1366].start |
6997.63784375 |
transcript.pyannote[1366].end |
7010.34471875 |
transcript.pyannote[1367].speaker |
SPEAKER_03 |
transcript.pyannote[1367].start |
7010.83409375 |
transcript.pyannote[1367].end |
7012.90971875 |
transcript.pyannote[1368].speaker |
SPEAKER_23 |
transcript.pyannote[1368].start |
7012.30221875 |
transcript.pyannote[1368].end |
7014.42846875 |
transcript.pyannote[1369].speaker |
SPEAKER_03 |
transcript.pyannote[1369].start |
7013.83784375 |
transcript.pyannote[1369].end |
7019.54159375 |
transcript.pyannote[1370].speaker |
SPEAKER_23 |
transcript.pyannote[1370].start |
7018.20846875 |
transcript.pyannote[1370].end |
7034.76284375 |
transcript.pyannote[1371].speaker |
SPEAKER_23 |
transcript.pyannote[1371].start |
7035.87659375 |
transcript.pyannote[1371].end |
7039.62284375 |
transcript.pyannote[1372].speaker |
SPEAKER_03 |
transcript.pyannote[1372].start |
7036.75409375 |
transcript.pyannote[1372].end |
7045.56284375 |
transcript.pyannote[1373].speaker |
SPEAKER_23 |
transcript.pyannote[1373].start |
7044.56721875 |
transcript.pyannote[1373].end |
7045.05659375 |
transcript.pyannote[1374].speaker |
SPEAKER_03 |
transcript.pyannote[1374].start |
7046.22096875 |
transcript.pyannote[1374].end |
7047.53721875 |
transcript.pyannote[1375].speaker |
SPEAKER_23 |
transcript.pyannote[1375].start |
7047.67221875 |
transcript.pyannote[1375].end |
7054.87784375 |
transcript.pyannote[1376].speaker |
SPEAKER_23 |
transcript.pyannote[1376].start |
7055.02971875 |
transcript.pyannote[1376].end |
7055.83971875 |
transcript.pyannote[1377].speaker |
SPEAKER_23 |
transcript.pyannote[1377].start |
7057.18971875 |
transcript.pyannote[1377].end |
7062.53909375 |
transcript.pyannote[1378].speaker |
SPEAKER_23 |
transcript.pyannote[1378].start |
7062.99471875 |
transcript.pyannote[1378].end |
7065.35721875 |
transcript.pyannote[1379].speaker |
SPEAKER_23 |
transcript.pyannote[1379].start |
7065.93096875 |
transcript.pyannote[1379].end |
7070.01471875 |
transcript.pyannote[1380].speaker |
SPEAKER_23 |
transcript.pyannote[1380].start |
7070.60534375 |
transcript.pyannote[1380].end |
7071.60096875 |
transcript.pyannote[1381].speaker |
SPEAKER_03 |
transcript.pyannote[1381].start |
7071.60096875 |
transcript.pyannote[1381].end |
7071.61784375 |
transcript.pyannote[1382].speaker |
SPEAKER_03 |
transcript.pyannote[1382].start |
7071.63471875 |
transcript.pyannote[1382].end |
7126.20846875 |
transcript.pyannote[1383].speaker |
SPEAKER_23 |
transcript.pyannote[1383].start |
7072.57971875 |
transcript.pyannote[1383].end |
7072.96784375 |
transcript.pyannote[1384].speaker |
SPEAKER_23 |
transcript.pyannote[1384].start |
7076.41034375 |
transcript.pyannote[1384].end |
7077.59159375 |
transcript.pyannote[1385].speaker |
SPEAKER_14 |
transcript.pyannote[1385].start |
7118.19284375 |
transcript.pyannote[1385].end |
7118.34471875 |
transcript.pyannote[1386].speaker |
SPEAKER_14 |
transcript.pyannote[1386].start |
7118.63159375 |
transcript.pyannote[1386].end |
7118.93534375 |
transcript.pyannote[1387].speaker |
SPEAKER_14 |
transcript.pyannote[1387].start |
7125.02721875 |
transcript.pyannote[1387].end |
7125.16221875 |
transcript.pyannote[1388].speaker |
SPEAKER_14 |
transcript.pyannote[1388].start |
7126.27596875 |
transcript.pyannote[1388].end |
7126.69784375 |
transcript.pyannote[1389].speaker |
SPEAKER_03 |
transcript.pyannote[1389].start |
7126.39409375 |
transcript.pyannote[1389].end |
7157.25846875 |
transcript.pyannote[1390].speaker |
SPEAKER_03 |
transcript.pyannote[1390].start |
7157.44409375 |
transcript.pyannote[1390].end |
7158.28784375 |
transcript.pyannote[1391].speaker |
SPEAKER_03 |
transcript.pyannote[1391].start |
7158.40596875 |
transcript.pyannote[1391].end |
7163.09721875 |
transcript.pyannote[1392].speaker |
SPEAKER_14 |
transcript.pyannote[1392].start |
7163.09721875 |
transcript.pyannote[1392].end |
7163.48534375 |
transcript.pyannote[1393].speaker |
SPEAKER_03 |
transcript.pyannote[1393].start |
7163.41784375 |
transcript.pyannote[1393].end |
7169.08784375 |
transcript.pyannote[1394].speaker |
SPEAKER_03 |
transcript.pyannote[1394].start |
7169.39159375 |
transcript.pyannote[1394].end |
7173.44159375 |
transcript.pyannote[1395].speaker |
SPEAKER_23 |
transcript.pyannote[1395].start |
7173.44159375 |
transcript.pyannote[1395].end |
7173.54284375 |
transcript.pyannote[1396].speaker |
SPEAKER_23 |
transcript.pyannote[1396].start |
7173.79596875 |
transcript.pyannote[1396].end |
7177.01909375 |
transcript.pyannote[1397].speaker |
SPEAKER_23 |
transcript.pyannote[1397].start |
7177.54221875 |
transcript.pyannote[1397].end |
7179.56721875 |
transcript.pyannote[1398].speaker |
SPEAKER_03 |
transcript.pyannote[1398].start |
7179.68534375 |
transcript.pyannote[1398].end |
7180.39409375 |
transcript.pyannote[1399].speaker |
SPEAKER_03 |
transcript.pyannote[1399].start |
7180.96784375 |
transcript.pyannote[1399].end |
7183.36409375 |
transcript.pyannote[1400].speaker |
SPEAKER_23 |
transcript.pyannote[1400].start |
7183.48221875 |
transcript.pyannote[1400].end |
7183.58346875 |
transcript.pyannote[1401].speaker |
SPEAKER_23 |
transcript.pyannote[1401].start |
7183.63409375 |
transcript.pyannote[1401].end |
7185.03471875 |
transcript.pyannote[1402].speaker |
SPEAKER_23 |
transcript.pyannote[1402].start |
7185.15284375 |
transcript.pyannote[1402].end |
7186.53659375 |
transcript.pyannote[1403].speaker |
SPEAKER_03 |
transcript.pyannote[1403].start |
7185.89534375 |
transcript.pyannote[1403].end |
7189.01721875 |
transcript.pyannote[1404].speaker |
SPEAKER_03 |
transcript.pyannote[1404].start |
7189.21971875 |
transcript.pyannote[1404].end |
7190.01284375 |
transcript.pyannote[1405].speaker |
SPEAKER_03 |
transcript.pyannote[1405].start |
7190.29971875 |
transcript.pyannote[1405].end |
7193.43846875 |
transcript.pyannote[1406].speaker |
SPEAKER_23 |
transcript.pyannote[1406].start |
7192.98284375 |
transcript.pyannote[1406].end |
7193.32034375 |
transcript.pyannote[1407].speaker |
SPEAKER_03 |
transcript.pyannote[1407].start |
7193.82659375 |
transcript.pyannote[1407].end |
7194.53534375 |
transcript.pyannote[1408].speaker |
SPEAKER_03 |
transcript.pyannote[1408].start |
7195.05846875 |
transcript.pyannote[1408].end |
7198.34909375 |
transcript.pyannote[1409].speaker |
SPEAKER_23 |
transcript.pyannote[1409].start |
7196.83034375 |
transcript.pyannote[1409].end |
7200.18846875 |
transcript.pyannote[1410].speaker |
SPEAKER_23 |
transcript.pyannote[1410].start |
7200.86346875 |
transcript.pyannote[1410].end |
7209.31784375 |
transcript.pyannote[1411].speaker |
SPEAKER_03 |
transcript.pyannote[1411].start |
7208.23784375 |
transcript.pyannote[1411].end |
7211.10659375 |
transcript.pyannote[1412].speaker |
SPEAKER_23 |
transcript.pyannote[1412].start |
7210.34721875 |
transcript.pyannote[1412].end |
7221.85596875 |
transcript.pyannote[1413].speaker |
SPEAKER_23 |
transcript.pyannote[1413].start |
7222.46346875 |
transcript.pyannote[1413].end |
7234.00596875 |
transcript.pyannote[1414].speaker |
SPEAKER_23 |
transcript.pyannote[1414].start |
7234.22534375 |
transcript.pyannote[1414].end |
7240.11471875 |
transcript.pyannote[1415].speaker |
SPEAKER_23 |
transcript.pyannote[1415].start |
7240.28346875 |
transcript.pyannote[1415].end |
7247.59034375 |
transcript.pyannote[1416].speaker |
SPEAKER_03 |
transcript.pyannote[1416].start |
7247.10096875 |
transcript.pyannote[1416].end |
7251.64034375 |
transcript.pyannote[1417].speaker |
SPEAKER_23 |
transcript.pyannote[1417].start |
7250.88096875 |
transcript.pyannote[1417].end |
7251.62346875 |
transcript.pyannote[1418].speaker |
SPEAKER_23 |
transcript.pyannote[1418].start |
7251.64034375 |
transcript.pyannote[1418].end |
7251.67409375 |
transcript.pyannote[1419].speaker |
SPEAKER_14 |
transcript.pyannote[1419].start |
7251.67409375 |
transcript.pyannote[1419].end |
7251.69096875 |
transcript.pyannote[1420].speaker |
SPEAKER_03 |
transcript.pyannote[1420].start |
7251.97784375 |
transcript.pyannote[1420].end |
7289.01846875 |
transcript.pyannote[1421].speaker |
SPEAKER_14 |
transcript.pyannote[1421].start |
7255.11659375 |
transcript.pyannote[1421].end |
7255.40346875 |
transcript.pyannote[1422].speaker |
SPEAKER_23 |
transcript.pyannote[1422].start |
7287.76971875 |
transcript.pyannote[1422].end |
7326.05909375 |
transcript.pyannote[1423].speaker |
SPEAKER_14 |
transcript.pyannote[1423].start |
7307.63159375 |
transcript.pyannote[1423].end |
7307.64846875 |
transcript.pyannote[1424].speaker |
SPEAKER_03 |
transcript.pyannote[1424].start |
7307.64846875 |
transcript.pyannote[1424].end |
7307.76659375 |
transcript.pyannote[1425].speaker |
SPEAKER_05 |
transcript.pyannote[1425].start |
7307.76659375 |
transcript.pyannote[1425].end |
7308.03659375 |
transcript.pyannote[1426].speaker |
SPEAKER_03 |
transcript.pyannote[1426].start |
7308.03659375 |
transcript.pyannote[1426].end |
7308.54284375 |
transcript.pyannote[1427].speaker |
SPEAKER_03 |
transcript.pyannote[1427].start |
7309.77471875 |
transcript.pyannote[1427].end |
7312.59284375 |
transcript.pyannote[1428].speaker |
SPEAKER_14 |
transcript.pyannote[1428].start |
7312.59284375 |
transcript.pyannote[1428].end |
7312.60971875 |
transcript.pyannote[1429].speaker |
SPEAKER_03 |
transcript.pyannote[1429].start |
7326.05909375 |
transcript.pyannote[1429].end |
7326.09284375 |
transcript.pyannote[1430].speaker |
SPEAKER_23 |
transcript.pyannote[1430].start |
7326.85221875 |
transcript.pyannote[1430].end |
7326.88596875 |
transcript.pyannote[1431].speaker |
SPEAKER_03 |
transcript.pyannote[1431].start |
7326.88596875 |
transcript.pyannote[1431].end |
7333.01159375 |
transcript.pyannote[1432].speaker |
SPEAKER_03 |
transcript.pyannote[1432].start |
7333.68659375 |
transcript.pyannote[1432].end |
7346.34284375 |
transcript.pyannote[1433].speaker |
SPEAKER_03 |
transcript.pyannote[1433].start |
7346.95034375 |
transcript.pyannote[1433].end |
7362.15471875 |
transcript.pyannote[1434].speaker |
SPEAKER_14 |
transcript.pyannote[1434].start |
7352.82284375 |
transcript.pyannote[1434].end |
7353.32909375 |
transcript.pyannote[1435].speaker |
SPEAKER_03 |
transcript.pyannote[1435].start |
7362.67784375 |
transcript.pyannote[1435].end |
7364.24721875 |
transcript.pyannote[1436].speaker |
SPEAKER_03 |
transcript.pyannote[1436].start |
7364.82096875 |
transcript.pyannote[1436].end |
7381.51034375 |
transcript.pyannote[1437].speaker |
SPEAKER_23 |
transcript.pyannote[1437].start |
7380.54846875 |
transcript.pyannote[1437].end |
7390.21784375 |
transcript.pyannote[1438].speaker |
SPEAKER_23 |
transcript.pyannote[1438].start |
7390.99409375 |
transcript.pyannote[1438].end |
7391.43284375 |
transcript.pyannote[1439].speaker |
SPEAKER_03 |
transcript.pyannote[1439].start |
7391.02784375 |
transcript.pyannote[1439].end |
7394.68971875 |
transcript.pyannote[1440].speaker |
SPEAKER_23 |
transcript.pyannote[1440].start |
7392.19221875 |
transcript.pyannote[1440].end |
7401.49034375 |
transcript.pyannote[1441].speaker |
SPEAKER_23 |
transcript.pyannote[1441].start |
7401.70971875 |
transcript.pyannote[1441].end |
7408.32471875 |
transcript.pyannote[1442].speaker |
SPEAKER_03 |
transcript.pyannote[1442].start |
7407.58221875 |
transcript.pyannote[1442].end |
7412.25659375 |
transcript.pyannote[1443].speaker |
SPEAKER_23 |
transcript.pyannote[1443].start |
7412.25659375 |
transcript.pyannote[1443].end |
7418.97284375 |
transcript.pyannote[1444].speaker |
SPEAKER_03 |
transcript.pyannote[1444].start |
7416.62721875 |
transcript.pyannote[1444].end |
7416.64409375 |
transcript.pyannote[1445].speaker |
SPEAKER_06 |
transcript.pyannote[1445].start |
7416.64409375 |
transcript.pyannote[1445].end |
7417.80846875 |
transcript.pyannote[1446].speaker |
SPEAKER_03 |
transcript.pyannote[1446].start |
7417.80846875 |
transcript.pyannote[1446].end |
7417.87596875 |
transcript.pyannote[1447].speaker |
SPEAKER_06 |
transcript.pyannote[1447].start |
7418.97284375 |
transcript.pyannote[1447].end |
7420.27221875 |
transcript.pyannote[1448].speaker |
SPEAKER_23 |
transcript.pyannote[1448].start |
7419.19221875 |
transcript.pyannote[1448].end |
7426.58346875 |
transcript.pyannote[1449].speaker |
SPEAKER_03 |
transcript.pyannote[1449].start |
7420.27221875 |
transcript.pyannote[1449].end |
7420.30596875 |
transcript.pyannote[1450].speaker |
SPEAKER_03 |
transcript.pyannote[1450].start |
7426.58346875 |
transcript.pyannote[1450].end |
7430.70096875 |
transcript.pyannote[1451].speaker |
SPEAKER_23 |
transcript.pyannote[1451].start |
7429.14846875 |
transcript.pyannote[1451].end |
7446.44534375 |
transcript.pyannote[1452].speaker |
SPEAKER_03 |
transcript.pyannote[1452].start |
7444.01534375 |
transcript.pyannote[1452].end |
7464.07971875 |
transcript.pyannote[1453].speaker |
SPEAKER_23 |
transcript.pyannote[1453].start |
7446.69846875 |
transcript.pyannote[1453].end |
7447.64346875 |
transcript.pyannote[1454].speaker |
SPEAKER_23 |
transcript.pyannote[1454].start |
7447.82909375 |
transcript.pyannote[1454].end |
7448.47034375 |
transcript.pyannote[1455].speaker |
SPEAKER_23 |
transcript.pyannote[1455].start |
7458.00471875 |
transcript.pyannote[1455].end |
7459.94534375 |
transcript.pyannote[1456].speaker |
SPEAKER_14 |
transcript.pyannote[1456].start |
7462.88159375 |
transcript.pyannote[1456].end |
7463.42159375 |
transcript.pyannote[1457].speaker |
SPEAKER_14 |
transcript.pyannote[1457].start |
7463.43846875 |
transcript.pyannote[1457].end |
7463.52284375 |
transcript.pyannote[1458].speaker |
SPEAKER_03 |
transcript.pyannote[1458].start |
7464.95721875 |
transcript.pyannote[1458].end |
7486.20284375 |
transcript.pyannote[1459].speaker |
SPEAKER_14 |
transcript.pyannote[1459].start |
7470.27284375 |
transcript.pyannote[1459].end |
7470.42471875 |
transcript.pyannote[1460].speaker |
SPEAKER_23 |
transcript.pyannote[1460].start |
7486.47284375 |
transcript.pyannote[1460].end |
7498.03221875 |
transcript.pyannote[1461].speaker |
SPEAKER_03 |
transcript.pyannote[1461].start |
7498.03221875 |
transcript.pyannote[1461].end |
7503.22971875 |
transcript.pyannote[1462].speaker |
SPEAKER_23 |
transcript.pyannote[1462].start |
7502.23409375 |
transcript.pyannote[1462].end |
7503.76971875 |
transcript.pyannote[1463].speaker |
SPEAKER_03 |
transcript.pyannote[1463].start |
7503.66846875 |
transcript.pyannote[1463].end |
7506.50346875 |
transcript.pyannote[1464].speaker |
SPEAKER_23 |
transcript.pyannote[1464].start |
7506.50346875 |
transcript.pyannote[1464].end |
7506.85784375 |
transcript.pyannote[1465].speaker |
SPEAKER_03 |
transcript.pyannote[1465].start |
7506.53721875 |
transcript.pyannote[1465].end |
7506.84096875 |
transcript.pyannote[1466].speaker |
SPEAKER_03 |
transcript.pyannote[1466].start |
7506.85784375 |
transcript.pyannote[1466].end |
7506.95909375 |
transcript.pyannote[1467].speaker |
SPEAKER_23 |
transcript.pyannote[1467].start |
7506.95909375 |
transcript.pyannote[1467].end |
7513.64159375 |
transcript.pyannote[1468].speaker |
SPEAKER_03 |
transcript.pyannote[1468].start |
7507.85346875 |
transcript.pyannote[1468].end |
7508.47784375 |
transcript.pyannote[1469].speaker |
SPEAKER_12 |
transcript.pyannote[1469].start |
7512.78096875 |
transcript.pyannote[1469].end |
7512.79784375 |
transcript.pyannote[1470].speaker |
SPEAKER_15 |
transcript.pyannote[1470].start |
7512.79784375 |
transcript.pyannote[1470].end |
7513.48971875 |
transcript.pyannote[1471].speaker |
SPEAKER_12 |
transcript.pyannote[1471].start |
7513.48971875 |
transcript.pyannote[1471].end |
7513.57409375 |
transcript.pyannote[1472].speaker |
SPEAKER_12 |
transcript.pyannote[1472].start |
7513.64159375 |
transcript.pyannote[1472].end |
7513.65846875 |
transcript.pyannote[1473].speaker |
SPEAKER_12 |
transcript.pyannote[1473].start |
7513.72596875 |
transcript.pyannote[1473].end |
7513.75971875 |
transcript.pyannote[1474].speaker |
SPEAKER_23 |
transcript.pyannote[1474].start |
7513.75971875 |
transcript.pyannote[1474].end |
7518.95721875 |
transcript.pyannote[1475].speaker |
SPEAKER_23 |
transcript.pyannote[1475].start |
7519.75034375 |
transcript.pyannote[1475].end |
7523.31096875 |
transcript.pyannote[1476].speaker |
SPEAKER_23 |
transcript.pyannote[1476].start |
7523.76659375 |
transcript.pyannote[1476].end |
7526.82096875 |
transcript.pyannote[1477].speaker |
SPEAKER_23 |
transcript.pyannote[1477].start |
7527.02346875 |
transcript.pyannote[1477].end |
7530.02721875 |
transcript.pyannote[1478].speaker |
SPEAKER_02 |
transcript.pyannote[1478].start |
7529.58846875 |
transcript.pyannote[1478].end |
7533.31784375 |
transcript.pyannote[1479].speaker |
SPEAKER_03 |
transcript.pyannote[1479].start |
7530.02721875 |
transcript.pyannote[1479].end |
7546.75034375 |
transcript.pyannote[1480].speaker |
SPEAKER_23 |
transcript.pyannote[1480].start |
7539.39284375 |
transcript.pyannote[1480].end |
7541.18159375 |
transcript.pyannote[1481].speaker |
SPEAKER_23 |
transcript.pyannote[1481].start |
7546.75034375 |
transcript.pyannote[1481].end |
7558.02284375 |
transcript.pyannote[1482].speaker |
SPEAKER_14 |
transcript.pyannote[1482].start |
7549.04534375 |
transcript.pyannote[1482].end |
7549.19721875 |
transcript.pyannote[1483].speaker |
SPEAKER_03 |
transcript.pyannote[1483].start |
7549.19721875 |
transcript.pyannote[1483].end |
7550.73284375 |
transcript.pyannote[1484].speaker |
SPEAKER_14 |
transcript.pyannote[1484].start |
7550.73284375 |
transcript.pyannote[1484].end |
7550.74971875 |
transcript.pyannote[1485].speaker |
SPEAKER_23 |
transcript.pyannote[1485].start |
7558.19159375 |
transcript.pyannote[1485].end |
7564.01346875 |
transcript.pyannote[1486].speaker |
SPEAKER_03 |
transcript.pyannote[1486].start |
7558.71471875 |
transcript.pyannote[1486].end |
7560.62159375 |
transcript.pyannote[1487].speaker |
SPEAKER_23 |
transcript.pyannote[1487].start |
7564.35096875 |
transcript.pyannote[1487].end |
7573.53096875 |
transcript.pyannote[1488].speaker |
SPEAKER_03 |
transcript.pyannote[1488].start |
7568.78909375 |
transcript.pyannote[1488].end |
7569.44721875 |
transcript.pyannote[1489].speaker |
SPEAKER_03 |
transcript.pyannote[1489].start |
7570.30784375 |
transcript.pyannote[1489].end |
7571.53971875 |
transcript.pyannote[1490].speaker |
SPEAKER_23 |
transcript.pyannote[1490].start |
7573.76721875 |
transcript.pyannote[1490].end |
7577.04096875 |
transcript.pyannote[1491].speaker |
SPEAKER_23 |
transcript.pyannote[1491].start |
7577.51346875 |
transcript.pyannote[1491].end |
7584.53346875 |
transcript.pyannote[1492].speaker |
SPEAKER_23 |
transcript.pyannote[1492].start |
7585.71471875 |
transcript.pyannote[1492].end |
7585.74846875 |
transcript.pyannote[1493].speaker |
SPEAKER_03 |
transcript.pyannote[1493].start |
7585.74846875 |
transcript.pyannote[1493].end |
7586.59221875 |
transcript.pyannote[1494].speaker |
SPEAKER_23 |
transcript.pyannote[1494].start |
7586.59221875 |
transcript.pyannote[1494].end |
7586.62596875 |
transcript.pyannote[1495].speaker |
SPEAKER_03 |
transcript.pyannote[1495].start |
7586.62596875 |
transcript.pyannote[1495].end |
7586.65971875 |
transcript.pyannote[1496].speaker |
SPEAKER_23 |
transcript.pyannote[1496].start |
7586.65971875 |
transcript.pyannote[1496].end |
7586.74409375 |
transcript.pyannote[1497].speaker |
SPEAKER_03 |
transcript.pyannote[1497].start |
7586.74409375 |
transcript.pyannote[1497].end |
7586.81159375 |
transcript.pyannote[1498].speaker |
SPEAKER_23 |
transcript.pyannote[1498].start |
7586.81159375 |
transcript.pyannote[1498].end |
7586.91284375 |
transcript.pyannote[1499].speaker |
SPEAKER_03 |
transcript.pyannote[1499].start |
7586.91284375 |
transcript.pyannote[1499].end |
7586.94659375 |
transcript.pyannote[1500].speaker |
SPEAKER_23 |
transcript.pyannote[1500].start |
7586.94659375 |
transcript.pyannote[1500].end |
7586.96346875 |
transcript.pyannote[1501].speaker |
SPEAKER_03 |
transcript.pyannote[1501].start |
7586.96346875 |
transcript.pyannote[1501].end |
7586.98034375 |
transcript.pyannote[1502].speaker |
SPEAKER_23 |
transcript.pyannote[1502].start |
7586.98034375 |
transcript.pyannote[1502].end |
7588.68471875 |
transcript.pyannote[1503].speaker |
SPEAKER_03 |
transcript.pyannote[1503].start |
7587.01409375 |
transcript.pyannote[1503].end |
7590.25409375 |
transcript.pyannote[1504].speaker |
SPEAKER_03 |
transcript.pyannote[1504].start |
7590.32159375 |
transcript.pyannote[1504].end |
7611.46596875 |
transcript.pyannote[1505].speaker |
SPEAKER_15 |
transcript.pyannote[1505].start |
7592.44784375 |
transcript.pyannote[1505].end |
7592.46471875 |
transcript.pyannote[1506].speaker |
SPEAKER_14 |
transcript.pyannote[1506].start |
7592.46471875 |
transcript.pyannote[1506].end |
7592.65034375 |
transcript.pyannote[1507].speaker |
SPEAKER_23 |
transcript.pyannote[1507].start |
7592.65034375 |
transcript.pyannote[1507].end |
7592.83596875 |
transcript.pyannote[1508].speaker |
SPEAKER_14 |
transcript.pyannote[1508].start |
7592.83596875 |
transcript.pyannote[1508].end |
7594.50659375 |
transcript.pyannote[1509].speaker |
SPEAKER_15 |
transcript.pyannote[1509].start |
7595.60346875 |
transcript.pyannote[1509].end |
7596.29534375 |
transcript.pyannote[1510].speaker |
SPEAKER_03 |
transcript.pyannote[1510].start |
7611.82034375 |
transcript.pyannote[1510].end |
7620.74721875 |
transcript.pyannote[1511].speaker |
SPEAKER_23 |
transcript.pyannote[1511].start |
7619.66721875 |
transcript.pyannote[1511].end |
7620.59534375 |
transcript.pyannote[1512].speaker |
SPEAKER_23 |
transcript.pyannote[1512].start |
7620.74721875 |
transcript.pyannote[1512].end |
7625.03346875 |
transcript.pyannote[1513].speaker |
SPEAKER_03 |
transcript.pyannote[1513].start |
7620.78096875 |
transcript.pyannote[1513].end |
7621.03409375 |
transcript.pyannote[1514].speaker |
SPEAKER_20 |
transcript.pyannote[1514].start |
7621.03409375 |
transcript.pyannote[1514].end |
7624.13909375 |
transcript.pyannote[1515].speaker |
SPEAKER_20 |
transcript.pyannote[1515].start |
7624.24034375 |
transcript.pyannote[1515].end |
7626.60284375 |
transcript.pyannote[1516].speaker |
SPEAKER_20 |
transcript.pyannote[1516].start |
7628.67846875 |
transcript.pyannote[1516].end |
7632.88034375 |
transcript.pyannote[1517].speaker |
SPEAKER_08 |
transcript.pyannote[1517].start |
7642.51596875 |
transcript.pyannote[1517].end |
7647.25784375 |
transcript.pyannote[1518].speaker |
SPEAKER_08 |
transcript.pyannote[1518].start |
7647.62909375 |
transcript.pyannote[1518].end |
7650.10971875 |
transcript.pyannote[1519].speaker |
SPEAKER_20 |
transcript.pyannote[1519].start |
7650.10971875 |
transcript.pyannote[1519].end |
7651.10534375 |
transcript.pyannote[1520].speaker |
SPEAKER_08 |
transcript.pyannote[1520].start |
7650.95346875 |
transcript.pyannote[1520].end |
7652.20221875 |
transcript.pyannote[1521].speaker |
SPEAKER_20 |
transcript.pyannote[1521].start |
7652.42159375 |
transcript.pyannote[1521].end |
7652.77596875 |
transcript.pyannote[1522].speaker |
SPEAKER_08 |
transcript.pyannote[1522].start |
7652.77596875 |
transcript.pyannote[1522].end |
7655.99909375 |
transcript.pyannote[1523].speaker |
SPEAKER_20 |
transcript.pyannote[1523].start |
7652.84346875 |
transcript.pyannote[1523].end |
7653.07971875 |
transcript.pyannote[1524].speaker |
SPEAKER_23 |
transcript.pyannote[1524].start |
7656.26909375 |
transcript.pyannote[1524].end |
7658.91846875 |
transcript.pyannote[1525].speaker |
SPEAKER_08 |
transcript.pyannote[1525].start |
7659.52596875 |
transcript.pyannote[1525].end |
7660.21784375 |
transcript.pyannote[1526].speaker |
SPEAKER_23 |
transcript.pyannote[1526].start |
7659.76221875 |
transcript.pyannote[1526].end |
7659.99846875 |
transcript.pyannote[1527].speaker |
SPEAKER_23 |
transcript.pyannote[1527].start |
7660.13346875 |
transcript.pyannote[1527].end |
7660.70721875 |
transcript.pyannote[1528].speaker |
SPEAKER_08 |
transcript.pyannote[1528].start |
7660.70721875 |
transcript.pyannote[1528].end |
7660.72409375 |
transcript.pyannote[1529].speaker |
SPEAKER_08 |
transcript.pyannote[1529].start |
7660.74096875 |
transcript.pyannote[1529].end |
7664.89221875 |
transcript.pyannote[1530].speaker |
SPEAKER_08 |
transcript.pyannote[1530].start |
7665.33096875 |
transcript.pyannote[1530].end |
7666.12409375 |
transcript.pyannote[1531].speaker |
SPEAKER_08 |
transcript.pyannote[1531].start |
7666.34346875 |
transcript.pyannote[1531].end |
7668.13221875 |
transcript.pyannote[1532].speaker |
SPEAKER_08 |
transcript.pyannote[1532].start |
7668.65534375 |
transcript.pyannote[1532].end |
7669.34721875 |
transcript.pyannote[1533].speaker |
SPEAKER_08 |
transcript.pyannote[1533].start |
7669.41471875 |
transcript.pyannote[1533].end |
7671.62534375 |
transcript.pyannote[1534].speaker |
SPEAKER_23 |
transcript.pyannote[1534].start |
7673.31284375 |
transcript.pyannote[1534].end |
7674.03846875 |
transcript.pyannote[1535].speaker |
SPEAKER_23 |
transcript.pyannote[1535].start |
7674.51096875 |
transcript.pyannote[1535].end |
7688.06159375 |
transcript.pyannote[1536].speaker |
SPEAKER_08 |
transcript.pyannote[1536].start |
7676.38409375 |
transcript.pyannote[1536].end |
7676.41784375 |
transcript.pyannote[1537].speaker |
SPEAKER_09 |
transcript.pyannote[1537].start |
7676.41784375 |
transcript.pyannote[1537].end |
7676.75534375 |
transcript.pyannote[1538].speaker |
SPEAKER_08 |
transcript.pyannote[1538].start |
7687.42034375 |
transcript.pyannote[1538].end |
7690.64346875 |
transcript.pyannote[1539].speaker |
SPEAKER_23 |
transcript.pyannote[1539].start |
7689.20909375 |
transcript.pyannote[1539].end |
7694.62596875 |
transcript.pyannote[1540].speaker |
SPEAKER_08 |
transcript.pyannote[1540].start |
7692.66846875 |
transcript.pyannote[1540].end |
7696.46534375 |
transcript.pyannote[1541].speaker |
SPEAKER_23 |
transcript.pyannote[1541].start |
7696.95471875 |
transcript.pyannote[1541].end |
7698.33846875 |
transcript.pyannote[1542].speaker |
SPEAKER_23 |
transcript.pyannote[1542].start |
7698.45659375 |
transcript.pyannote[1542].end |
7709.18909375 |
transcript.pyannote[1543].speaker |
SPEAKER_08 |
transcript.pyannote[1543].start |
7706.62409375 |
transcript.pyannote[1543].end |
7711.82159375 |
transcript.pyannote[1544].speaker |
SPEAKER_23 |
transcript.pyannote[1544].start |
7712.22659375 |
transcript.pyannote[1544].end |
7725.38909375 |
transcript.pyannote[1545].speaker |
SPEAKER_08 |
transcript.pyannote[1545].start |
7718.47034375 |
transcript.pyannote[1545].end |
7719.16221875 |
transcript.pyannote[1546].speaker |
SPEAKER_15 |
transcript.pyannote[1546].start |
7721.10284375 |
transcript.pyannote[1546].end |
7721.11971875 |
transcript.pyannote[1547].speaker |
SPEAKER_08 |
transcript.pyannote[1547].start |
7721.11971875 |
transcript.pyannote[1547].end |
7723.09409375 |
transcript.pyannote[1548].speaker |
SPEAKER_08 |
transcript.pyannote[1548].start |
7723.97159375 |
transcript.pyannote[1548].end |
7725.00096875 |
transcript.pyannote[1549].speaker |
SPEAKER_08 |
transcript.pyannote[1549].start |
7725.38909375 |
transcript.pyannote[1549].end |
7728.25784375 |
transcript.pyannote[1550].speaker |
SPEAKER_08 |
transcript.pyannote[1550].start |
7728.67971875 |
transcript.pyannote[1550].end |
7731.00846875 |
transcript.pyannote[1551].speaker |
SPEAKER_08 |
transcript.pyannote[1551].start |
7732.96596875 |
transcript.pyannote[1551].end |
7737.42096875 |
transcript.pyannote[1552].speaker |
SPEAKER_20 |
transcript.pyannote[1552].start |
7734.23159375 |
transcript.pyannote[1552].end |
7734.61971875 |
transcript.pyannote[1553].speaker |
SPEAKER_08 |
transcript.pyannote[1553].start |
7739.09159375 |
transcript.pyannote[1553].end |
7740.66096875 |
transcript.pyannote[1554].speaker |
SPEAKER_20 |
transcript.pyannote[1554].start |
7739.26034375 |
transcript.pyannote[1554].end |
7739.37846875 |
transcript.pyannote[1555].speaker |
SPEAKER_19 |
transcript.pyannote[1555].start |
7739.37846875 |
transcript.pyannote[1555].end |
7740.18846875 |
transcript.pyannote[1556].speaker |
SPEAKER_14 |
transcript.pyannote[1556].start |
7740.18846875 |
transcript.pyannote[1556].end |
7740.20534375 |
transcript.pyannote[1557].speaker |
SPEAKER_19 |
transcript.pyannote[1557].start |
7740.20534375 |
transcript.pyannote[1557].end |
7740.32346875 |
transcript.pyannote[1558].speaker |
SPEAKER_08 |
transcript.pyannote[1558].start |
7741.13346875 |
transcript.pyannote[1558].end |
7751.12346875 |
transcript.pyannote[1559].speaker |
SPEAKER_14 |
transcript.pyannote[1559].start |
7741.96034375 |
transcript.pyannote[1559].end |
7742.82096875 |
transcript.pyannote[1560].speaker |
SPEAKER_21 |
transcript.pyannote[1560].start |
7743.17534375 |
transcript.pyannote[1560].end |
7743.20909375 |
transcript.pyannote[1561].speaker |
SPEAKER_14 |
transcript.pyannote[1561].start |
7743.20909375 |
transcript.pyannote[1561].end |
7743.22596875 |
transcript.pyannote[1562].speaker |
SPEAKER_23 |
transcript.pyannote[1562].start |
7743.22596875 |
transcript.pyannote[1562].end |
7744.44096875 |
transcript.pyannote[1563].speaker |
SPEAKER_21 |
transcript.pyannote[1563].start |
7744.44096875 |
transcript.pyannote[1563].end |
7744.54221875 |
transcript.pyannote[1564].speaker |
SPEAKER_21 |
transcript.pyannote[1564].start |
7745.23409375 |
transcript.pyannote[1564].end |
7745.28471875 |
transcript.pyannote[1565].speaker |
SPEAKER_23 |
transcript.pyannote[1565].start |
7745.33534375 |
transcript.pyannote[1565].end |
7745.67284375 |
transcript.pyannote[1566].speaker |
SPEAKER_23 |
transcript.pyannote[1566].start |
7746.01034375 |
transcript.pyannote[1566].end |
7747.81596875 |
transcript.pyannote[1567].speaker |
SPEAKER_13 |
transcript.pyannote[1567].start |
7748.18721875 |
transcript.pyannote[1567].end |
7748.22096875 |
transcript.pyannote[1568].speaker |
SPEAKER_23 |
transcript.pyannote[1568].start |
7748.22096875 |
transcript.pyannote[1568].end |
7755.76409375 |
transcript.pyannote[1569].speaker |
SPEAKER_23 |
transcript.pyannote[1569].start |
7756.10159375 |
transcript.pyannote[1569].end |
7758.46409375 |
transcript.pyannote[1570].speaker |
SPEAKER_23 |
transcript.pyannote[1570].start |
7758.85221875 |
transcript.pyannote[1570].end |
7764.72471875 |
transcript.pyannote[1571].speaker |
SPEAKER_14 |
transcript.pyannote[1571].start |
7764.72471875 |
transcript.pyannote[1571].end |
7765.12971875 |
transcript.pyannote[1572].speaker |
SPEAKER_23 |
transcript.pyannote[1572].start |
7765.12971875 |
transcript.pyannote[1572].end |
7776.48659375 |
transcript.pyannote[1573].speaker |
SPEAKER_08 |
transcript.pyannote[1573].start |
7771.32284375 |
transcript.pyannote[1573].end |
7772.65596875 |
transcript.pyannote[1574].speaker |
SPEAKER_17 |
transcript.pyannote[1574].start |
7772.65596875 |
transcript.pyannote[1574].end |
7772.95971875 |
transcript.pyannote[1575].speaker |
SPEAKER_17 |
transcript.pyannote[1575].start |
7775.11971875 |
transcript.pyannote[1575].end |
7775.13659375 |
transcript.pyannote[1576].speaker |
SPEAKER_08 |
transcript.pyannote[1576].start |
7775.13659375 |
transcript.pyannote[1576].end |
7778.19096875 |
transcript.pyannote[1577].speaker |
SPEAKER_08 |
transcript.pyannote[1577].start |
7778.20784375 |
transcript.pyannote[1577].end |
7783.77659375 |
transcript.pyannote[1578].speaker |
SPEAKER_23 |
transcript.pyannote[1578].start |
7781.02596875 |
transcript.pyannote[1578].end |
7781.43096875 |
transcript.pyannote[1579].speaker |
SPEAKER_23 |
transcript.pyannote[1579].start |
7783.01721875 |
transcript.pyannote[1579].end |
7784.99159375 |
transcript.pyannote[1580].speaker |
SPEAKER_08 |
transcript.pyannote[1580].start |
7784.99159375 |
transcript.pyannote[1580].end |
7798.69409375 |
transcript.pyannote[1581].speaker |
SPEAKER_23 |
transcript.pyannote[1581].start |
7785.04221875 |
transcript.pyannote[1581].end |
7785.78471875 |
transcript.pyannote[1582].speaker |
SPEAKER_23 |
transcript.pyannote[1582].start |
7786.12221875 |
transcript.pyannote[1582].end |
7786.30784375 |
transcript.pyannote[1583].speaker |
SPEAKER_15 |
transcript.pyannote[1583].start |
7798.69409375 |
transcript.pyannote[1583].end |
7798.76159375 |
transcript.pyannote[1584].speaker |
SPEAKER_08 |
transcript.pyannote[1584].start |
7798.76159375 |
transcript.pyannote[1584].end |
7810.21971875 |
transcript.pyannote[1585].speaker |
SPEAKER_08 |
transcript.pyannote[1585].start |
7810.50659375 |
transcript.pyannote[1585].end |
7812.98721875 |
transcript.pyannote[1586].speaker |
SPEAKER_08 |
transcript.pyannote[1586].start |
7813.24034375 |
transcript.pyannote[1586].end |
7816.56471875 |
transcript.pyannote[1587].speaker |
SPEAKER_08 |
transcript.pyannote[1587].start |
7816.71659375 |
transcript.pyannote[1587].end |
7820.26034375 |
transcript.pyannote[1588].speaker |
SPEAKER_08 |
transcript.pyannote[1588].start |
7820.51346875 |
transcript.pyannote[1588].end |
7822.11659375 |
transcript.pyannote[1589].speaker |
SPEAKER_16 |
transcript.pyannote[1589].start |
7822.28534375 |
transcript.pyannote[1589].end |
7822.31909375 |
transcript.pyannote[1590].speaker |
SPEAKER_15 |
transcript.pyannote[1590].start |
7822.31909375 |
transcript.pyannote[1590].end |
7822.62284375 |
transcript.pyannote[1591].speaker |
SPEAKER_08 |
transcript.pyannote[1591].start |
7822.67346875 |
transcript.pyannote[1591].end |
7824.96846875 |
transcript.pyannote[1592].speaker |
SPEAKER_08 |
transcript.pyannote[1592].start |
7825.12034375 |
transcript.pyannote[1592].end |
7829.32221875 |
transcript.pyannote[1593].speaker |
SPEAKER_15 |
transcript.pyannote[1593].start |
7829.71034375 |
transcript.pyannote[1593].end |
7830.09846875 |
transcript.pyannote[1594].speaker |
SPEAKER_08 |
transcript.pyannote[1594].start |
7830.19971875 |
transcript.pyannote[1594].end |
7835.75159375 |
transcript.pyannote[1595].speaker |
SPEAKER_08 |
transcript.pyannote[1595].start |
7836.20721875 |
transcript.pyannote[1595].end |
7836.98346875 |
transcript.pyannote[1596].speaker |
SPEAKER_08 |
transcript.pyannote[1596].start |
7837.15221875 |
transcript.pyannote[1596].end |
7838.40096875 |
transcript.pyannote[1597].speaker |
SPEAKER_08 |
transcript.pyannote[1597].start |
7838.53596875 |
transcript.pyannote[1597].end |
7839.64971875 |
transcript.pyannote[1598].speaker |
SPEAKER_08 |
transcript.pyannote[1598].start |
7839.97034375 |
transcript.pyannote[1598].end |
7840.54409375 |
transcript.pyannote[1599].speaker |
SPEAKER_08 |
transcript.pyannote[1599].start |
7840.71284375 |
transcript.pyannote[1599].end |
7844.07096875 |
transcript.pyannote[1600].speaker |
SPEAKER_15 |
transcript.pyannote[1600].start |
7844.25659375 |
transcript.pyannote[1600].end |
7844.69534375 |
transcript.pyannote[1601].speaker |
SPEAKER_08 |
transcript.pyannote[1601].start |
7844.69534375 |
transcript.pyannote[1601].end |
7845.57284375 |
transcript.pyannote[1602].speaker |
SPEAKER_08 |
transcript.pyannote[1602].start |
7845.85971875 |
transcript.pyannote[1602].end |
7846.85534375 |
transcript.pyannote[1603].speaker |
SPEAKER_15 |
transcript.pyannote[1603].start |
7847.10846875 |
transcript.pyannote[1603].end |
7847.20971875 |
transcript.pyannote[1604].speaker |
SPEAKER_08 |
transcript.pyannote[1604].start |
7847.20971875 |
transcript.pyannote[1604].end |
7848.05346875 |
transcript.pyannote[1605].speaker |
SPEAKER_08 |
transcript.pyannote[1605].start |
7848.66096875 |
transcript.pyannote[1605].end |
7851.14159375 |
transcript.pyannote[1606].speaker |
SPEAKER_15 |
transcript.pyannote[1606].start |
7851.14159375 |
transcript.pyannote[1606].end |
7851.47909375 |
transcript.pyannote[1607].speaker |
SPEAKER_08 |
transcript.pyannote[1607].start |
7851.41159375 |
transcript.pyannote[1607].end |
7852.87971875 |
transcript.pyannote[1608].speaker |
SPEAKER_15 |
transcript.pyannote[1608].start |
7853.06534375 |
transcript.pyannote[1608].end |
7853.13284375 |
transcript.pyannote[1609].speaker |
SPEAKER_08 |
transcript.pyannote[1609].start |
7853.13284375 |
transcript.pyannote[1609].end |
7856.47409375 |
transcript.pyannote[1610].speaker |
SPEAKER_15 |
transcript.pyannote[1610].start |
7856.47409375 |
transcript.pyannote[1610].end |
7856.76096875 |
transcript.pyannote[1611].speaker |
SPEAKER_08 |
transcript.pyannote[1611].start |
7856.92971875 |
transcript.pyannote[1611].end |
7858.75221875 |
transcript.pyannote[1612].speaker |
SPEAKER_08 |
transcript.pyannote[1612].start |
7859.29221875 |
transcript.pyannote[1612].end |
7861.30034375 |
transcript.pyannote[1613].speaker |
SPEAKER_08 |
transcript.pyannote[1613].start |
7861.60409375 |
transcript.pyannote[1613].end |
7863.44346875 |
transcript.pyannote[1614].speaker |
SPEAKER_08 |
transcript.pyannote[1614].start |
7863.83159375 |
transcript.pyannote[1614].end |
7883.65971875 |
transcript.pyannote[1615].speaker |
SPEAKER_08 |
transcript.pyannote[1615].start |
7883.98034375 |
transcript.pyannote[1615].end |
7884.92534375 |
transcript.pyannote[1616].speaker |
SPEAKER_08 |
transcript.pyannote[1616].start |
7885.26284375 |
transcript.pyannote[1616].end |
7886.44409375 |
transcript.pyannote[1617].speaker |
SPEAKER_08 |
transcript.pyannote[1617].start |
7886.86596875 |
transcript.pyannote[1617].end |
7887.91221875 |
transcript.pyannote[1618].speaker |
SPEAKER_08 |
transcript.pyannote[1618].start |
7888.18221875 |
transcript.pyannote[1618].end |
7890.08909375 |
transcript.pyannote[1619].speaker |
SPEAKER_08 |
transcript.pyannote[1619].start |
7890.34221875 |
transcript.pyannote[1619].end |
7891.20284375 |
transcript.pyannote[1620].speaker |
SPEAKER_08 |
transcript.pyannote[1620].start |
7892.11409375 |
transcript.pyannote[1620].end |
7893.00846875 |
transcript.pyannote[1621].speaker |
SPEAKER_08 |
transcript.pyannote[1621].start |
7893.78471875 |
transcript.pyannote[1621].end |
7896.14721875 |
transcript.pyannote[1622].speaker |
SPEAKER_23 |
transcript.pyannote[1622].start |
7896.34971875 |
transcript.pyannote[1622].end |
7896.61971875 |
transcript.pyannote[1623].speaker |
SPEAKER_08 |
transcript.pyannote[1623].start |
7896.67034375 |
transcript.pyannote[1623].end |
7898.44221875 |
transcript.pyannote[1624].speaker |
SPEAKER_23 |
transcript.pyannote[1624].start |
7898.96534375 |
transcript.pyannote[1624].end |
7899.08346875 |
transcript.pyannote[1625].speaker |
SPEAKER_15 |
transcript.pyannote[1625].start |
7899.08346875 |
transcript.pyannote[1625].end |
7899.11721875 |
transcript.pyannote[1626].speaker |
SPEAKER_08 |
transcript.pyannote[1626].start |
7899.30284375 |
transcript.pyannote[1626].end |
7904.70284375 |
transcript.pyannote[1627].speaker |
SPEAKER_08 |
transcript.pyannote[1627].start |
7904.73659375 |
transcript.pyannote[1627].end |
7908.53346875 |
transcript.pyannote[1628].speaker |
SPEAKER_08 |
transcript.pyannote[1628].start |
7910.27159375 |
transcript.pyannote[1628].end |
7910.67659375 |
transcript.pyannote[1629].speaker |
SPEAKER_23 |
transcript.pyannote[1629].start |
7912.04346875 |
transcript.pyannote[1629].end |
7914.96284375 |
transcript.pyannote[1630].speaker |
SPEAKER_08 |
transcript.pyannote[1630].start |
7913.42721875 |
transcript.pyannote[1630].end |
7918.01721875 |
transcript.pyannote[1631].speaker |
SPEAKER_23 |
transcript.pyannote[1631].start |
7915.01346875 |
transcript.pyannote[1631].end |
7915.06409375 |
transcript.pyannote[1632].speaker |
SPEAKER_23 |
transcript.pyannote[1632].start |
7918.01721875 |
transcript.pyannote[1632].end |
7918.40534375 |
transcript.pyannote[1633].speaker |
SPEAKER_08 |
transcript.pyannote[1633].start |
7918.40534375 |
transcript.pyannote[1633].end |
7923.33284375 |
transcript.pyannote[1634].speaker |
SPEAKER_23 |
transcript.pyannote[1634].start |
7918.45596875 |
transcript.pyannote[1634].end |
7918.52346875 |
transcript.pyannote[1635].speaker |
SPEAKER_15 |
transcript.pyannote[1635].start |
7923.33284375 |
transcript.pyannote[1635].end |
7923.55221875 |
transcript.pyannote[1636].speaker |
SPEAKER_08 |
transcript.pyannote[1636].start |
7923.55221875 |
transcript.pyannote[1636].end |
7925.81346875 |
transcript.pyannote[1637].speaker |
SPEAKER_15 |
transcript.pyannote[1637].start |
7925.81346875 |
transcript.pyannote[1637].end |
7926.08346875 |
transcript.pyannote[1638].speaker |
SPEAKER_08 |
transcript.pyannote[1638].start |
7926.08346875 |
transcript.pyannote[1638].end |
7932.61409375 |
transcript.pyannote[1639].speaker |
SPEAKER_08 |
transcript.pyannote[1639].start |
7932.96846875 |
transcript.pyannote[1639].end |
7937.62596875 |
transcript.pyannote[1640].speaker |
SPEAKER_15 |
transcript.pyannote[1640].start |
7937.91284375 |
transcript.pyannote[1640].end |
7938.31784375 |
transcript.pyannote[1641].speaker |
SPEAKER_08 |
transcript.pyannote[1641].start |
7938.35159375 |
transcript.pyannote[1641].end |
7941.00096875 |
transcript.pyannote[1642].speaker |
SPEAKER_08 |
transcript.pyannote[1642].start |
7941.28784375 |
transcript.pyannote[1642].end |
7942.75596875 |
transcript.pyannote[1643].speaker |
SPEAKER_08 |
transcript.pyannote[1643].start |
7942.80659375 |
transcript.pyannote[1643].end |
7959.51284375 |
transcript.pyannote[1644].speaker |
SPEAKER_08 |
transcript.pyannote[1644].start |
7959.93471875 |
transcript.pyannote[1644].end |
7960.62659375 |
transcript.pyannote[1645].speaker |
SPEAKER_08 |
transcript.pyannote[1645].start |
7960.71096875 |
transcript.pyannote[1645].end |
7961.28471875 |
transcript.pyannote[1646].speaker |
SPEAKER_08 |
transcript.pyannote[1646].start |
7961.85846875 |
transcript.pyannote[1646].end |
7962.80346875 |
transcript.pyannote[1647].speaker |
SPEAKER_08 |
transcript.pyannote[1647].start |
7962.98909375 |
transcript.pyannote[1647].end |
7964.57534375 |
transcript.pyannote[1648].speaker |
SPEAKER_08 |
transcript.pyannote[1648].start |
7965.11534375 |
transcript.pyannote[1648].end |
7967.07284375 |
transcript.pyannote[1649].speaker |
SPEAKER_08 |
transcript.pyannote[1649].start |
7967.15721875 |
transcript.pyannote[1649].end |
7968.52409375 |
transcript.pyannote[1650].speaker |
SPEAKER_23 |
transcript.pyannote[1650].start |
7969.50284375 |
transcript.pyannote[1650].end |
7971.13971875 |
transcript.pyannote[1651].speaker |
SPEAKER_08 |
transcript.pyannote[1651].start |
7970.61659375 |
transcript.pyannote[1651].end |
7971.35909375 |
transcript.pyannote[1652].speaker |
SPEAKER_23 |
transcript.pyannote[1652].start |
7971.35909375 |
transcript.pyannote[1652].end |
7971.52784375 |
transcript.pyannote[1653].speaker |
SPEAKER_08 |
transcript.pyannote[1653].start |
7971.52784375 |
transcript.pyannote[1653].end |
7979.91471875 |
transcript.pyannote[1654].speaker |
SPEAKER_23 |
transcript.pyannote[1654].start |
7980.16784375 |
transcript.pyannote[1654].end |
7980.20159375 |
transcript.pyannote[1655].speaker |
SPEAKER_23 |
transcript.pyannote[1655].start |
7980.37034375 |
transcript.pyannote[1655].end |
7994.37659375 |
transcript.pyannote[1656].speaker |
SPEAKER_08 |
transcript.pyannote[1656].start |
7987.35659375 |
transcript.pyannote[1656].end |
7987.37346875 |
transcript.pyannote[1657].speaker |
SPEAKER_01 |
transcript.pyannote[1657].start |
7987.37346875 |
transcript.pyannote[1657].end |
7987.39034375 |
transcript.pyannote[1658].speaker |
SPEAKER_15 |
transcript.pyannote[1658].start |
7987.39034375 |
transcript.pyannote[1658].end |
7988.97659375 |
transcript.pyannote[1659].speaker |
SPEAKER_01 |
transcript.pyannote[1659].start |
7988.97659375 |
transcript.pyannote[1659].end |
7989.14534375 |
transcript.pyannote[1660].speaker |
SPEAKER_08 |
transcript.pyannote[1660].start |
7994.96721875 |
transcript.pyannote[1660].end |
7995.45659375 |
transcript.pyannote[1661].speaker |
SPEAKER_23 |
transcript.pyannote[1661].start |
7995.45659375 |
transcript.pyannote[1661].end |
7995.84471875 |
transcript.pyannote[1662].speaker |
SPEAKER_08 |
transcript.pyannote[1662].start |
7995.49034375 |
transcript.pyannote[1662].end |
7998.39284375 |
transcript.pyannote[1663].speaker |
SPEAKER_23 |
transcript.pyannote[1663].start |
7996.30034375 |
transcript.pyannote[1663].end |
7996.67159375 |
transcript.pyannote[1664].speaker |
SPEAKER_23 |
transcript.pyannote[1664].start |
7997.51534375 |
transcript.pyannote[1664].end |
8012.56784375 |
transcript.pyannote[1665].speaker |
SPEAKER_08 |
transcript.pyannote[1665].start |
7998.71346875 |
transcript.pyannote[1665].end |
7998.84846875 |
transcript.pyannote[1666].speaker |
SPEAKER_08 |
transcript.pyannote[1666].start |
7999.05096875 |
transcript.pyannote[1666].end |
7999.25346875 |
transcript.pyannote[1667].speaker |
SPEAKER_08 |
transcript.pyannote[1667].start |
7999.35471875 |
transcript.pyannote[1667].end |
8001.59909375 |
transcript.pyannote[1668].speaker |
SPEAKER_08 |
transcript.pyannote[1668].start |
8011.80846875 |
transcript.pyannote[1668].end |
8016.31409375 |
transcript.pyannote[1669].speaker |
SPEAKER_23 |
transcript.pyannote[1669].start |
8013.78284375 |
transcript.pyannote[1669].end |
8020.78596875 |
transcript.pyannote[1670].speaker |
SPEAKER_08 |
transcript.pyannote[1670].start |
8020.00971875 |
transcript.pyannote[1670].end |
8022.96284375 |
transcript.pyannote[1671].speaker |
SPEAKER_23 |
transcript.pyannote[1671].start |
8022.96284375 |
transcript.pyannote[1671].end |
8032.12596875 |
transcript.pyannote[1672].speaker |
SPEAKER_08 |
transcript.pyannote[1672].start |
8023.04721875 |
transcript.pyannote[1672].end |
8026.25346875 |
transcript.pyannote[1673].speaker |
SPEAKER_08 |
transcript.pyannote[1673].start |
8031.06284375 |
transcript.pyannote[1673].end |
8042.23409375 |
transcript.pyannote[1674].speaker |
SPEAKER_23 |
transcript.pyannote[1674].start |
8041.05284375 |
transcript.pyannote[1674].end |
8041.12034375 |
transcript.pyannote[1675].speaker |
SPEAKER_23 |
transcript.pyannote[1675].start |
8041.60971875 |
transcript.pyannote[1675].end |
8041.98096875 |
transcript.pyannote[1676].speaker |
SPEAKER_23 |
transcript.pyannote[1676].start |
8042.23409375 |
transcript.pyannote[1676].end |
8042.25096875 |
transcript.pyannote[1677].speaker |
SPEAKER_08 |
transcript.pyannote[1677].start |
8042.25096875 |
transcript.pyannote[1677].end |
8042.30159375 |
transcript.pyannote[1678].speaker |
SPEAKER_23 |
transcript.pyannote[1678].start |
8042.30159375 |
transcript.pyannote[1678].end |
8042.53784375 |
transcript.pyannote[1679].speaker |
SPEAKER_08 |
transcript.pyannote[1679].start |
8042.53784375 |
transcript.pyannote[1679].end |
8043.56721875 |
transcript.pyannote[1680].speaker |
SPEAKER_23 |
transcript.pyannote[1680].start |
8042.55471875 |
transcript.pyannote[1680].end |
8043.33096875 |
transcript.pyannote[1681].speaker |
SPEAKER_08 |
transcript.pyannote[1681].start |
8044.03971875 |
transcript.pyannote[1681].end |
8051.24534375 |
transcript.pyannote[1682].speaker |
SPEAKER_23 |
transcript.pyannote[1682].start |
8052.83159375 |
transcript.pyannote[1682].end |
8058.06284375 |
transcript.pyannote[1683].speaker |
SPEAKER_08 |
transcript.pyannote[1683].start |
8056.29096875 |
transcript.pyannote[1683].end |
8071.42784375 |
transcript.pyannote[1684].speaker |
SPEAKER_23 |
transcript.pyannote[1684].start |
8059.14284375 |
transcript.pyannote[1684].end |
8061.48846875 |
transcript.pyannote[1685].speaker |
SPEAKER_00 |
transcript.pyannote[1685].start |
8065.70721875 |
transcript.pyannote[1685].end |
8065.72409375 |
transcript.pyannote[1686].speaker |
SPEAKER_10 |
transcript.pyannote[1686].start |
8065.72409375 |
transcript.pyannote[1686].end |
8065.90971875 |
transcript.pyannote[1687].speaker |
SPEAKER_08 |
transcript.pyannote[1687].start |
8072.00159375 |
transcript.pyannote[1687].end |
8072.60909375 |
transcript.pyannote[1688].speaker |
SPEAKER_08 |
transcript.pyannote[1688].start |
8072.96346875 |
transcript.pyannote[1688].end |
8075.89971875 |
transcript.pyannote[1689].speaker |
SPEAKER_08 |
transcript.pyannote[1689].start |
8076.27096875 |
transcript.pyannote[1689].end |
8078.02596875 |
transcript.pyannote[1690].speaker |
SPEAKER_08 |
transcript.pyannote[1690].start |
8078.75159375 |
transcript.pyannote[1690].end |
8079.22409375 |
transcript.pyannote[1691].speaker |
SPEAKER_08 |
transcript.pyannote[1691].start |
8079.79784375 |
transcript.pyannote[1691].end |
8081.02971875 |
transcript.pyannote[1692].speaker |
SPEAKER_08 |
transcript.pyannote[1692].start |
8081.18159375 |
transcript.pyannote[1692].end |
8081.62034375 |
transcript.pyannote[1693].speaker |
SPEAKER_08 |
transcript.pyannote[1693].start |
8082.29534375 |
transcript.pyannote[1693].end |
8083.03784375 |
transcript.pyannote[1694].speaker |
SPEAKER_08 |
transcript.pyannote[1694].start |
8083.52721875 |
transcript.pyannote[1694].end |
8084.42159375 |
transcript.pyannote[1695].speaker |
SPEAKER_08 |
transcript.pyannote[1695].start |
8084.55659375 |
transcript.pyannote[1695].end |
8085.97409375 |
transcript.pyannote[1696].speaker |
SPEAKER_08 |
transcript.pyannote[1696].start |
8086.44659375 |
transcript.pyannote[1696].end |
8088.47159375 |
transcript.pyannote[1697].speaker |
SPEAKER_23 |
transcript.pyannote[1697].start |
8089.78784375 |
transcript.pyannote[1697].end |
8092.03221875 |
transcript.pyannote[1698].speaker |
SPEAKER_08 |
transcript.pyannote[1698].start |
8090.85096875 |
transcript.pyannote[1698].end |
8094.12471875 |
transcript.pyannote[1699].speaker |
SPEAKER_08 |
transcript.pyannote[1699].start |
8094.14159375 |
transcript.pyannote[1699].end |
8094.19221875 |
transcript.pyannote[1700].speaker |
SPEAKER_23 |
transcript.pyannote[1700].start |
8094.19221875 |
transcript.pyannote[1700].end |
8096.13284375 |
transcript.pyannote[1701].speaker |
SPEAKER_23 |
transcript.pyannote[1701].start |
8097.66846875 |
transcript.pyannote[1701].end |
8097.93846875 |
transcript.pyannote[1702].speaker |
SPEAKER_08 |
transcript.pyannote[1702].start |
8097.93846875 |
transcript.pyannote[1702].end |
8099.47409375 |
transcript.pyannote[1703].speaker |
SPEAKER_23 |
transcript.pyannote[1703].start |
8098.24221875 |
transcript.pyannote[1703].end |
8098.29284375 |
transcript.pyannote[1704].speaker |
SPEAKER_04 |
transcript.pyannote[1704].start |
8098.29284375 |
transcript.pyannote[1704].end |
8098.30971875 |
transcript.pyannote[1705].speaker |
SPEAKER_23 |
transcript.pyannote[1705].start |
8098.30971875 |
transcript.pyannote[1705].end |
8099.03534375 |
transcript.pyannote[1706].speaker |
SPEAKER_04 |
transcript.pyannote[1706].start |
8099.03534375 |
transcript.pyannote[1706].end |
8102.00534375 |
transcript.pyannote[1707].speaker |
SPEAKER_23 |
transcript.pyannote[1707].start |
8099.47409375 |
transcript.pyannote[1707].end |
8099.52471875 |
transcript.pyannote[1708].speaker |
SPEAKER_08 |
transcript.pyannote[1708].start |
8100.70596875 |
transcript.pyannote[1708].end |
8104.31721875 |
transcript.pyannote[1709].speaker |
SPEAKER_04 |
transcript.pyannote[1709].start |
8102.56221875 |
transcript.pyannote[1709].end |
8103.32159375 |
transcript.pyannote[1710].speaker |
SPEAKER_04 |
transcript.pyannote[1710].start |
8104.31721875 |
transcript.pyannote[1710].end |
8104.33409375 |
transcript.pyannote[1711].speaker |
SPEAKER_04 |
transcript.pyannote[1711].start |
8104.35096875 |
transcript.pyannote[1711].end |
8107.01721875 |
transcript.pyannote[1712].speaker |
SPEAKER_08 |
transcript.pyannote[1712].start |
8106.13971875 |
transcript.pyannote[1712].end |
8106.29159375 |
transcript.pyannote[1713].speaker |
SPEAKER_08 |
transcript.pyannote[1713].start |
8106.37596875 |
transcript.pyannote[1713].end |
8112.50159375 |
transcript.pyannote[1714].speaker |
SPEAKER_08 |
transcript.pyannote[1714].start |
8113.27784375 |
transcript.pyannote[1714].end |
8114.44221875 |
transcript.pyannote[1715].speaker |
SPEAKER_08 |
transcript.pyannote[1715].start |
8114.74596875 |
transcript.pyannote[1715].end |
8116.85534375 |
transcript.pyannote[1716].speaker |
SPEAKER_08 |
transcript.pyannote[1716].start |
8117.17596875 |
transcript.pyannote[1716].end |
8121.02346875 |
transcript.pyannote[1717].speaker |
SPEAKER_07 |
transcript.pyannote[1717].start |
8121.02346875 |
transcript.pyannote[1717].end |
8125.17471875 |
transcript.pyannote[1718].speaker |
SPEAKER_07 |
transcript.pyannote[1718].start |
8125.63034375 |
transcript.pyannote[1718].end |
8132.97096875 |
transcript.pyannote[1719].speaker |
SPEAKER_08 |
transcript.pyannote[1719].start |
8132.97096875 |
transcript.pyannote[1719].end |
8134.79346875 |
transcript.pyannote[1720].speaker |
SPEAKER_08 |
transcript.pyannote[1720].start |
8135.16471875 |
transcript.pyannote[1720].end |
8143.90596875 |
transcript.pyannote[1721].speaker |
SPEAKER_08 |
transcript.pyannote[1721].start |
8144.34471875 |
transcript.pyannote[1721].end |
8146.57221875 |
transcript.pyannote[1722].speaker |
SPEAKER_08 |
transcript.pyannote[1722].start |
8146.94346875 |
transcript.pyannote[1722].end |
8150.08221875 |
transcript.pyannote[1723].speaker |
SPEAKER_08 |
transcript.pyannote[1723].start |
8151.68534375 |
transcript.pyannote[1723].end |
8152.09034375 |
transcript.pyannote[1724].speaker |
SPEAKER_07 |
transcript.pyannote[1724].start |
8152.09034375 |
transcript.pyannote[1724].end |
8152.12409375 |
transcript.pyannote[1725].speaker |
SPEAKER_01 |
transcript.pyannote[1725].start |
8152.32659375 |
transcript.pyannote[1725].end |
8152.57971875 |
transcript.pyannote[1726].speaker |
SPEAKER_08 |
transcript.pyannote[1726].start |
8152.88346875 |
transcript.pyannote[1726].end |
8152.90034375 |
transcript.pyannote[1727].speaker |
SPEAKER_07 |
transcript.pyannote[1727].start |
8152.90034375 |
transcript.pyannote[1727].end |
8154.92534375 |
transcript.pyannote[1728].speaker |
SPEAKER_07 |
transcript.pyannote[1728].start |
8154.97596875 |
transcript.pyannote[1728].end |
8155.04346875 |
transcript.pyannote[1729].speaker |
SPEAKER_07 |
transcript.pyannote[1729].start |
8155.21221875 |
transcript.pyannote[1729].end |
8161.96221875 |
transcript.pyannote[1730].speaker |
SPEAKER_08 |
transcript.pyannote[1730].start |
8161.96221875 |
transcript.pyannote[1730].end |
8162.67096875 |
transcript.pyannote[1731].speaker |
SPEAKER_07 |
transcript.pyannote[1731].start |
8162.67096875 |
transcript.pyannote[1731].end |
8162.77221875 |
transcript.pyannote[1732].speaker |
SPEAKER_07 |
transcript.pyannote[1732].start |
8163.00846875 |
transcript.pyannote[1732].end |
8163.02534375 |
transcript.pyannote[1733].speaker |
SPEAKER_08 |
transcript.pyannote[1733].start |
8163.02534375 |
transcript.pyannote[1733].end |
8164.45971875 |
transcript.pyannote[1734].speaker |
SPEAKER_08 |
transcript.pyannote[1734].start |
8164.76346875 |
transcript.pyannote[1734].end |
8166.92346875 |
transcript.pyannote[1735].speaker |
SPEAKER_08 |
transcript.pyannote[1735].start |
8167.37909375 |
transcript.pyannote[1735].end |
8171.07471875 |
transcript.pyannote[1736].speaker |
SPEAKER_08 |
transcript.pyannote[1736].start |
8171.36159375 |
transcript.pyannote[1736].end |
8177.03159375 |
transcript.pyannote[1737].speaker |
SPEAKER_07 |
transcript.pyannote[1737].start |
8177.03159375 |
transcript.pyannote[1737].end |
8177.16659375 |
transcript.pyannote[1738].speaker |
SPEAKER_07 |
transcript.pyannote[1738].start |
8177.60534375 |
transcript.pyannote[1738].end |
8191.88159375 |
transcript.pyannote[1739].speaker |
SPEAKER_08 |
transcript.pyannote[1739].start |
8187.34221875 |
transcript.pyannote[1739].end |
8187.89909375 |
transcript.pyannote[1740].speaker |
SPEAKER_08 |
transcript.pyannote[1740].start |
8190.98721875 |
transcript.pyannote[1740].end |
8191.89846875 |
transcript.pyannote[1741].speaker |
SPEAKER_07 |
transcript.pyannote[1741].start |
8191.89846875 |
transcript.pyannote[1741].end |
8192.69159375 |
transcript.pyannote[1742].speaker |
SPEAKER_07 |
transcript.pyannote[1742].start |
8192.86034375 |
transcript.pyannote[1742].end |
8192.94471875 |
transcript.pyannote[1743].speaker |
SPEAKER_08 |
transcript.pyannote[1743].start |
8192.94471875 |
transcript.pyannote[1743].end |
8198.47971875 |
transcript.pyannote[1744].speaker |
SPEAKER_08 |
transcript.pyannote[1744].start |
8199.28971875 |
transcript.pyannote[1744].end |
8201.71971875 |
transcript.pyannote[1745].speaker |
SPEAKER_01 |
transcript.pyannote[1745].start |
8200.23471875 |
transcript.pyannote[1745].end |
8200.74096875 |
transcript.pyannote[1746].speaker |
SPEAKER_01 |
transcript.pyannote[1746].start |
8201.60159375 |
transcript.pyannote[1746].end |
8201.93909375 |
transcript.pyannote[1747].speaker |
SPEAKER_08 |
transcript.pyannote[1747].start |
8201.93909375 |
transcript.pyannote[1747].end |
8204.94284375 |
transcript.pyannote[1748].speaker |
SPEAKER_08 |
transcript.pyannote[1748].start |
8205.24659375 |
transcript.pyannote[1748].end |
8213.54909375 |
transcript.pyannote[1749].speaker |
SPEAKER_08 |
transcript.pyannote[1749].start |
8213.97096875 |
transcript.pyannote[1749].end |
8216.16471875 |
transcript.pyannote[1750].speaker |
SPEAKER_08 |
transcript.pyannote[1750].start |
8216.26596875 |
transcript.pyannote[1750].end |
8219.52284375 |
transcript.pyannote[1751].speaker |
SPEAKER_08 |
transcript.pyannote[1751].start |
8219.69159375 |
transcript.pyannote[1751].end |
8221.42971875 |
transcript.pyannote[1752].speaker |
SPEAKER_08 |
transcript.pyannote[1752].start |
8221.73346875 |
transcript.pyannote[1752].end |
8223.13409375 |
transcript.pyannote[1753].speaker |
SPEAKER_08 |
transcript.pyannote[1753].start |
8223.35346875 |
transcript.pyannote[1753].end |
8224.50096875 |
transcript.pyannote[1754].speaker |
SPEAKER_08 |
transcript.pyannote[1754].start |
8224.82159375 |
transcript.pyannote[1754].end |
8226.27284375 |
transcript.pyannote[1755].speaker |
SPEAKER_08 |
transcript.pyannote[1755].start |
8226.67784375 |
transcript.pyannote[1755].end |
8227.26846875 |
transcript.pyannote[1756].speaker |
SPEAKER_08 |
transcript.pyannote[1756].start |
8228.24721875 |
transcript.pyannote[1756].end |
8231.40284375 |
transcript.pyannote[1757].speaker |
SPEAKER_08 |
transcript.pyannote[1757].start |
8231.72346875 |
transcript.pyannote[1757].end |
8233.03971875 |
transcript.pyannote[1758].speaker |
SPEAKER_08 |
transcript.pyannote[1758].start |
8233.42784375 |
transcript.pyannote[1758].end |
8236.44846875 |
transcript.pyannote[1759].speaker |
SPEAKER_08 |
transcript.pyannote[1759].start |
8236.85346875 |
transcript.pyannote[1759].end |
8238.08534375 |
transcript.pyannote[1760].speaker |
SPEAKER_08 |
transcript.pyannote[1760].start |
8238.67596875 |
transcript.pyannote[1760].end |
8240.58284375 |
transcript.pyannote[1761].speaker |
SPEAKER_08 |
transcript.pyannote[1761].start |
8241.03846875 |
transcript.pyannote[1761].end |
8242.32096875 |
transcript.pyannote[1762].speaker |
SPEAKER_08 |
transcript.pyannote[1762].start |
8242.91159375 |
transcript.pyannote[1762].end |
8243.80596875 |
transcript.pyannote[1763].speaker |
SPEAKER_08 |
transcript.pyannote[1763].start |
8243.97471875 |
transcript.pyannote[1763].end |
8249.02034375 |
transcript.pyannote[1764].speaker |
SPEAKER_08 |
transcript.pyannote[1764].start |
8249.52659375 |
transcript.pyannote[1764].end |
8250.96096875 |
transcript.pyannote[1765].speaker |
SPEAKER_08 |
transcript.pyannote[1765].start |
8251.85534375 |
transcript.pyannote[1765].end |
8254.82534375 |
transcript.pyannote[1766].speaker |
SPEAKER_08 |
transcript.pyannote[1766].start |
8255.33159375 |
transcript.pyannote[1766].end |
8256.81659375 |
transcript.pyannote[1767].speaker |
SPEAKER_08 |
transcript.pyannote[1767].start |
8257.30596875 |
transcript.pyannote[1767].end |
8258.50409375 |
transcript.pyannote[1768].speaker |
SPEAKER_08 |
transcript.pyannote[1768].start |
8259.19596875 |
transcript.pyannote[1768].end |
8262.48659375 |
transcript.pyannote[1769].speaker |
SPEAKER_08 |
transcript.pyannote[1769].start |
8262.50346875 |
transcript.pyannote[1769].end |
8263.73534375 |
transcript.pyannote[1770].speaker |
SPEAKER_08 |
transcript.pyannote[1770].start |
8264.27534375 |
transcript.pyannote[1770].end |
8264.74784375 |
transcript.pyannote[1771].speaker |
SPEAKER_08 |
transcript.pyannote[1771].start |
8264.81534375 |
transcript.pyannote[1771].end |
8266.21596875 |
transcript.pyannote[1772].speaker |
SPEAKER_08 |
transcript.pyannote[1772].start |
8266.80659375 |
transcript.pyannote[1772].end |
8267.70096875 |
transcript.pyannote[1773].speaker |
SPEAKER_08 |
transcript.pyannote[1773].start |
8267.75159375 |
transcript.pyannote[1773].end |
8269.94534375 |
transcript.pyannote[1774].speaker |
SPEAKER_08 |
transcript.pyannote[1774].start |
8270.35034375 |
transcript.pyannote[1774].end |
8273.43846875 |
transcript.pyannote[1775].speaker |
SPEAKER_08 |
transcript.pyannote[1775].start |
8273.86034375 |
transcript.pyannote[1775].end |
8275.86846875 |
transcript.pyannote[1776].speaker |
SPEAKER_07 |
transcript.pyannote[1776].start |
8277.65721875 |
transcript.pyannote[1776].end |
8282.65221875 |
transcript.pyannote[1777].speaker |
SPEAKER_08 |
transcript.pyannote[1777].start |
8280.40784375 |
transcript.pyannote[1777].end |
8280.76221875 |
transcript.pyannote[1778].speaker |
SPEAKER_07 |
transcript.pyannote[1778].start |
8282.88846875 |
transcript.pyannote[1778].end |
8283.96846875 |
transcript.pyannote[1779].speaker |
SPEAKER_08 |
transcript.pyannote[1779].start |
8283.96846875 |
transcript.pyannote[1779].end |
8287.25909375 |
transcript.pyannote[1780].speaker |
SPEAKER_08 |
transcript.pyannote[1780].start |
8287.47846875 |
transcript.pyannote[1780].end |
8289.68909375 |
transcript.pyannote[1781].speaker |
SPEAKER_08 |
transcript.pyannote[1781].start |
8289.94221875 |
transcript.pyannote[1781].end |
8290.73534375 |
transcript.pyannote[1782].speaker |
SPEAKER_08 |
transcript.pyannote[1782].start |
8291.32596875 |
transcript.pyannote[1782].end |
8293.78971875 |
transcript.pyannote[1783].speaker |
SPEAKER_08 |
transcript.pyannote[1783].start |
8294.38034375 |
transcript.pyannote[1783].end |
8295.76409375 |
transcript.pyannote[1784].speaker |
SPEAKER_08 |
transcript.pyannote[1784].start |
8295.94971875 |
transcript.pyannote[1784].end |
8297.02971875 |
transcript.pyannote[1785].speaker |
SPEAKER_08 |
transcript.pyannote[1785].start |
8297.24909375 |
transcript.pyannote[1785].end |
8299.42596875 |
transcript.pyannote[1786].speaker |
SPEAKER_08 |
transcript.pyannote[1786].start |
8299.81409375 |
transcript.pyannote[1786].end |
8300.42159375 |
transcript.pyannote[1787].speaker |
SPEAKER_08 |
transcript.pyannote[1787].start |
8300.65784375 |
transcript.pyannote[1787].end |
8304.67409375 |
transcript.pyannote[1788].speaker |
SPEAKER_08 |
transcript.pyannote[1788].start |
8305.50096875 |
transcript.pyannote[1788].end |
8310.98534375 |
transcript.pyannote[1789].speaker |
SPEAKER_23 |
transcript.pyannote[1789].start |
8311.08659375 |
transcript.pyannote[1789].end |
8311.30596875 |
transcript.pyannote[1790].speaker |
SPEAKER_08 |
transcript.pyannote[1790].start |
8311.30596875 |
transcript.pyannote[1790].end |
8314.64721875 |
transcript.pyannote[1791].speaker |
SPEAKER_23 |
transcript.pyannote[1791].start |
8314.81596875 |
transcript.pyannote[1791].end |
8315.27159375 |
transcript.pyannote[1792].speaker |
SPEAKER_08 |
transcript.pyannote[1792].start |
8315.27159375 |
transcript.pyannote[1792].end |
8322.03846875 |
transcript.pyannote[1793].speaker |
SPEAKER_08 |
transcript.pyannote[1793].start |
8322.17346875 |
transcript.pyannote[1793].end |
8324.75534375 |
transcript.pyannote[1794].speaker |
SPEAKER_23 |
transcript.pyannote[1794].start |
8324.75534375 |
transcript.pyannote[1794].end |
8325.17721875 |
transcript.pyannote[1795].speaker |
SPEAKER_08 |
transcript.pyannote[1795].start |
8325.17721875 |
transcript.pyannote[1795].end |
8327.21909375 |
transcript.pyannote[1796].speaker |
SPEAKER_23 |
transcript.pyannote[1796].start |
8327.21909375 |
transcript.pyannote[1796].end |
8327.55659375 |
transcript.pyannote[1797].speaker |
SPEAKER_23 |
transcript.pyannote[1797].start |
8328.16409375 |
transcript.pyannote[1797].end |
8328.73784375 |
transcript.pyannote[1798].speaker |
SPEAKER_08 |
transcript.pyannote[1798].start |
8328.73784375 |
transcript.pyannote[1798].end |
8328.75471875 |
transcript.pyannote[1799].speaker |
SPEAKER_23 |
transcript.pyannote[1799].start |
8328.75471875 |
transcript.pyannote[1799].end |
8328.77159375 |
transcript.pyannote[1800].speaker |
SPEAKER_08 |
transcript.pyannote[1800].start |
8328.77159375 |
transcript.pyannote[1800].end |
8329.68284375 |
transcript.pyannote[1801].speaker |
SPEAKER_23 |
transcript.pyannote[1801].start |
8329.68284375 |
transcript.pyannote[1801].end |
8329.69971875 |
transcript.pyannote[1802].speaker |
SPEAKER_08 |
transcript.pyannote[1802].start |
8329.69971875 |
transcript.pyannote[1802].end |
8333.34471875 |
transcript.pyannote[1803].speaker |
SPEAKER_23 |
transcript.pyannote[1803].start |
8332.60221875 |
transcript.pyannote[1803].end |
8334.69471875 |
transcript.pyannote[1804].speaker |
SPEAKER_08 |
transcript.pyannote[1804].start |
8333.95221875 |
transcript.pyannote[1804].end |
8335.03221875 |
transcript.pyannote[1805].speaker |
SPEAKER_20 |
transcript.pyannote[1805].start |
8334.69471875 |
transcript.pyannote[1805].end |
8334.76221875 |
transcript.pyannote[1806].speaker |
SPEAKER_23 |
transcript.pyannote[1806].start |
8334.76221875 |
transcript.pyannote[1806].end |
8335.87596875 |
transcript.pyannote[1807].speaker |
SPEAKER_20 |
transcript.pyannote[1807].start |
8335.03221875 |
transcript.pyannote[1807].end |
8335.04909375 |
transcript.pyannote[1808].speaker |
SPEAKER_20 |
transcript.pyannote[1808].start |
8335.87596875 |
transcript.pyannote[1808].end |
8341.49534375 |
transcript.pyannote[1809].speaker |
SPEAKER_20 |
transcript.pyannote[1809].start |
8341.86659375 |
transcript.pyannote[1809].end |
8342.15346875 |
transcript.pyannote[1810].speaker |
SPEAKER_20 |
transcript.pyannote[1810].start |
8343.23346875 |
transcript.pyannote[1810].end |
8345.08971875 |
transcript.pyannote[1811].speaker |
SPEAKER_10 |
transcript.pyannote[1811].start |
8351.97471875 |
transcript.pyannote[1811].end |
8357.79659375 |
transcript.pyannote[1812].speaker |
SPEAKER_23 |
transcript.pyannote[1812].start |
8363.16284375 |
transcript.pyannote[1812].end |
8363.24721875 |
transcript.pyannote[1813].speaker |
SPEAKER_20 |
transcript.pyannote[1813].start |
8363.24721875 |
transcript.pyannote[1813].end |
8363.34846875 |
transcript.pyannote[1814].speaker |
SPEAKER_23 |
transcript.pyannote[1814].start |
8363.34846875 |
transcript.pyannote[1814].end |
8363.48346875 |
transcript.pyannote[1815].speaker |
SPEAKER_20 |
transcript.pyannote[1815].start |
8363.48346875 |
transcript.pyannote[1815].end |
8363.60159375 |
transcript.pyannote[1816].speaker |
SPEAKER_23 |
transcript.pyannote[1816].start |
8363.60159375 |
transcript.pyannote[1816].end |
8363.71971875 |
transcript.pyannote[1817].speaker |
SPEAKER_20 |
transcript.pyannote[1817].start |
8363.71971875 |
transcript.pyannote[1817].end |
8363.82096875 |
transcript.pyannote[1818].speaker |
SPEAKER_23 |
transcript.pyannote[1818].start |
8363.82096875 |
transcript.pyannote[1818].end |
8363.83784375 |
transcript.pyannote[1819].speaker |
SPEAKER_23 |
transcript.pyannote[1819].start |
8364.37784375 |
transcript.pyannote[1819].end |
8367.85409375 |
transcript.pyannote[1820].speaker |
SPEAKER_20 |
transcript.pyannote[1820].start |
8364.42846875 |
transcript.pyannote[1820].end |
8364.44534375 |
transcript.pyannote[1821].speaker |
SPEAKER_10 |
transcript.pyannote[1821].start |
8364.44534375 |
transcript.pyannote[1821].end |
8365.62659375 |
transcript.pyannote[1822].speaker |
SPEAKER_10 |
transcript.pyannote[1822].start |
8368.42784375 |
transcript.pyannote[1822].end |
8379.43034375 |
transcript.pyannote[1823].speaker |
SPEAKER_23 |
transcript.pyannote[1823].start |
8374.35096875 |
transcript.pyannote[1823].end |
8374.58721875 |
transcript.pyannote[1824].speaker |
SPEAKER_10 |
transcript.pyannote[1824].start |
8380.13909375 |
transcript.pyannote[1824].end |
8384.42534375 |
transcript.pyannote[1825].speaker |
SPEAKER_10 |
transcript.pyannote[1825].start |
8384.81346875 |
transcript.pyannote[1825].end |
8386.72034375 |
transcript.pyannote[1826].speaker |
SPEAKER_10 |
transcript.pyannote[1826].start |
8387.22659375 |
transcript.pyannote[1826].end |
8394.78659375 |
transcript.pyannote[1827].speaker |
SPEAKER_23 |
transcript.pyannote[1827].start |
8397.21659375 |
transcript.pyannote[1827].end |
8400.25409375 |
transcript.pyannote[1828].speaker |
SPEAKER_23 |
transcript.pyannote[1828].start |
8400.70971875 |
transcript.pyannote[1828].end |
8405.24909375 |
transcript.pyannote[1829].speaker |
SPEAKER_10 |
transcript.pyannote[1829].start |
8405.48534375 |
transcript.pyannote[1829].end |
8405.90721875 |
transcript.pyannote[1830].speaker |
SPEAKER_23 |
transcript.pyannote[1830].start |
8405.90721875 |
transcript.pyannote[1830].end |
8412.18471875 |
transcript.pyannote[1831].speaker |
SPEAKER_23 |
transcript.pyannote[1831].start |
8412.60659375 |
transcript.pyannote[1831].end |
8414.42909375 |
transcript.pyannote[1832].speaker |
SPEAKER_23 |
transcript.pyannote[1832].start |
8415.32346875 |
transcript.pyannote[1832].end |
8421.49971875 |
transcript.pyannote[1833].speaker |
SPEAKER_14 |
transcript.pyannote[1833].start |
8419.44096875 |
transcript.pyannote[1833].end |
8419.55909375 |
transcript.pyannote[1834].speaker |
SPEAKER_22 |
transcript.pyannote[1834].start |
8419.55909375 |
transcript.pyannote[1834].end |
8420.09909375 |
transcript.pyannote[1835].speaker |
SPEAKER_00 |
transcript.pyannote[1835].start |
8420.09909375 |
transcript.pyannote[1835].end |
8420.16659375 |
transcript.pyannote[1836].speaker |
SPEAKER_23 |
transcript.pyannote[1836].start |
8422.27596875 |
transcript.pyannote[1836].end |
8429.59971875 |
transcript.pyannote[1837].speaker |
SPEAKER_23 |
transcript.pyannote[1837].start |
8429.88659375 |
transcript.pyannote[1837].end |
8449.96784375 |
transcript.pyannote[1838].speaker |
SPEAKER_14 |
transcript.pyannote[1838].start |
8430.03846875 |
transcript.pyannote[1838].end |
8430.05534375 |
transcript.pyannote[1839].speaker |
SPEAKER_00 |
transcript.pyannote[1839].start |
8430.05534375 |
transcript.pyannote[1839].end |
8430.12284375 |
transcript.pyannote[1840].speaker |
SPEAKER_14 |
transcript.pyannote[1840].start |
8430.12284375 |
transcript.pyannote[1840].end |
8430.19034375 |
transcript.pyannote[1841].speaker |
SPEAKER_10 |
transcript.pyannote[1841].start |
8449.32659375 |
transcript.pyannote[1841].end |
8455.14846875 |
transcript.pyannote[1842].speaker |
SPEAKER_23 |
transcript.pyannote[1842].start |
8454.10221875 |
transcript.pyannote[1842].end |
8454.54096875 |
transcript.pyannote[1843].speaker |
SPEAKER_15 |
transcript.pyannote[1843].start |
8454.54096875 |
transcript.pyannote[1843].end |
8454.60846875 |
transcript.pyannote[1844].speaker |
SPEAKER_15 |
transcript.pyannote[1844].start |
8455.14846875 |
transcript.pyannote[1844].end |
8455.50284375 |
transcript.pyannote[1845].speaker |
SPEAKER_10 |
transcript.pyannote[1845].start |
8455.57034375 |
transcript.pyannote[1845].end |
8461.35846875 |
transcript.pyannote[1846].speaker |
SPEAKER_15 |
transcript.pyannote[1846].start |
8459.72159375 |
transcript.pyannote[1846].end |
8460.64971875 |
transcript.pyannote[1847].speaker |
SPEAKER_10 |
transcript.pyannote[1847].start |
8461.57784375 |
transcript.pyannote[1847].end |
8477.27159375 |
transcript.pyannote[1848].speaker |
SPEAKER_23 |
transcript.pyannote[1848].start |
8468.09159375 |
transcript.pyannote[1848].end |
8468.10846875 |
transcript.pyannote[1849].speaker |
SPEAKER_15 |
transcript.pyannote[1849].start |
8468.10846875 |
transcript.pyannote[1849].end |
8468.44596875 |
transcript.pyannote[1850].speaker |
SPEAKER_23 |
transcript.pyannote[1850].start |
8468.44596875 |
transcript.pyannote[1850].end |
8468.49659375 |
transcript.pyannote[1851].speaker |
SPEAKER_14 |
transcript.pyannote[1851].start |
8468.49659375 |
transcript.pyannote[1851].end |
8468.51346875 |
transcript.pyannote[1852].speaker |
SPEAKER_23 |
transcript.pyannote[1852].start |
8470.63971875 |
transcript.pyannote[1852].end |
8471.29784375 |
transcript.pyannote[1853].speaker |
SPEAKER_15 |
transcript.pyannote[1853].start |
8471.29784375 |
transcript.pyannote[1853].end |
8471.33159375 |
transcript.pyannote[1854].speaker |
SPEAKER_23 |
transcript.pyannote[1854].start |
8473.79534375 |
transcript.pyannote[1854].end |
8474.16659375 |
transcript.pyannote[1855].speaker |
SPEAKER_23 |
transcript.pyannote[1855].start |
8477.65971875 |
transcript.pyannote[1855].end |
8478.57096875 |
transcript.pyannote[1856].speaker |
SPEAKER_23 |
transcript.pyannote[1856].start |
8479.17846875 |
transcript.pyannote[1856].end |
8479.21221875 |
transcript.pyannote[1857].speaker |
SPEAKER_10 |
transcript.pyannote[1857].start |
8479.21221875 |
transcript.pyannote[1857].end |
8479.24596875 |
transcript.pyannote[1858].speaker |
SPEAKER_23 |
transcript.pyannote[1858].start |
8479.24596875 |
transcript.pyannote[1858].end |
8480.41034375 |
transcript.pyannote[1859].speaker |
SPEAKER_10 |
transcript.pyannote[1859].start |
8479.49909375 |
transcript.pyannote[1859].end |
8480.03909375 |
transcript.pyannote[1860].speaker |
SPEAKER_10 |
transcript.pyannote[1860].start |
8480.41034375 |
transcript.pyannote[1860].end |
8480.66346875 |
transcript.pyannote[1861].speaker |
SPEAKER_23 |
transcript.pyannote[1861].start |
8480.66346875 |
transcript.pyannote[1861].end |
8485.99596875 |
transcript.pyannote[1862].speaker |
SPEAKER_10 |
transcript.pyannote[1862].start |
8480.68034375 |
transcript.pyannote[1862].end |
8481.20346875 |
transcript.pyannote[1863].speaker |
SPEAKER_10 |
transcript.pyannote[1863].start |
8481.64221875 |
transcript.pyannote[1863].end |
8481.69284375 |
transcript.pyannote[1864].speaker |
SPEAKER_10 |
transcript.pyannote[1864].start |
8484.78096875 |
transcript.pyannote[1864].end |
8486.90721875 |
transcript.pyannote[1865].speaker |
SPEAKER_23 |
transcript.pyannote[1865].start |
8486.89034375 |
transcript.pyannote[1865].end |
8490.70409375 |
transcript.pyannote[1866].speaker |
SPEAKER_10 |
transcript.pyannote[1866].start |
8488.79721875 |
transcript.pyannote[1866].end |
8491.24409375 |
transcript.pyannote[1867].speaker |
SPEAKER_23 |
transcript.pyannote[1867].start |
8491.07534375 |
transcript.pyannote[1867].end |
8495.96909375 |
transcript.pyannote[1868].speaker |
SPEAKER_10 |
transcript.pyannote[1868].start |
8495.96909375 |
transcript.pyannote[1868].end |
8496.23909375 |
transcript.pyannote[1869].speaker |
SPEAKER_23 |
transcript.pyannote[1869].start |
8496.23909375 |
transcript.pyannote[1869].end |
8499.98534375 |
transcript.pyannote[1870].speaker |
SPEAKER_23 |
transcript.pyannote[1870].start |
8500.49159375 |
transcript.pyannote[1870].end |
8503.93409375 |
transcript.pyannote[1871].speaker |
SPEAKER_23 |
transcript.pyannote[1871].start |
8504.86221875 |
transcript.pyannote[1871].end |
8509.03034375 |
transcript.pyannote[1872].speaker |
SPEAKER_23 |
transcript.pyannote[1872].start |
8509.92471875 |
transcript.pyannote[1872].end |
8514.32909375 |
transcript.pyannote[1873].speaker |
SPEAKER_10 |
transcript.pyannote[1873].start |
8513.53596875 |
transcript.pyannote[1873].end |
8520.11721875 |
transcript.pyannote[1874].speaker |
SPEAKER_23 |
transcript.pyannote[1874].start |
8519.69534375 |
transcript.pyannote[1874].end |
8524.80846875 |
transcript.pyannote[1875].speaker |
SPEAKER_10 |
transcript.pyannote[1875].start |
8523.66096875 |
transcript.pyannote[1875].end |
8529.26346875 |
transcript.pyannote[1876].speaker |
SPEAKER_23 |
transcript.pyannote[1876].start |
8529.46596875 |
transcript.pyannote[1876].end |
8532.28409375 |
transcript.pyannote[1877].speaker |
SPEAKER_23 |
transcript.pyannote[1877].start |
8532.80721875 |
transcript.pyannote[1877].end |
8532.82409375 |
transcript.pyannote[1878].speaker |
SPEAKER_10 |
transcript.pyannote[1878].start |
8532.82409375 |
transcript.pyannote[1878].end |
8534.46096875 |
transcript.pyannote[1879].speaker |
SPEAKER_23 |
transcript.pyannote[1879].start |
8534.46096875 |
transcript.pyannote[1879].end |
8534.47784375 |
transcript.pyannote[1880].speaker |
SPEAKER_23 |
transcript.pyannote[1880].start |
8534.51159375 |
transcript.pyannote[1880].end |
8538.86534375 |
transcript.pyannote[1881].speaker |
SPEAKER_10 |
transcript.pyannote[1881].start |
8537.19471875 |
transcript.pyannote[1881].end |
8540.24909375 |
transcript.pyannote[1882].speaker |
SPEAKER_23 |
transcript.pyannote[1882].start |
8540.24909375 |
transcript.pyannote[1882].end |
8540.53596875 |
transcript.pyannote[1883].speaker |
SPEAKER_10 |
transcript.pyannote[1883].start |
8540.53596875 |
transcript.pyannote[1883].end |
8540.55284375 |
transcript.pyannote[1884].speaker |
SPEAKER_23 |
transcript.pyannote[1884].start |
8540.55284375 |
transcript.pyannote[1884].end |
8540.58659375 |
transcript.pyannote[1885].speaker |
SPEAKER_10 |
transcript.pyannote[1885].start |
8540.58659375 |
transcript.pyannote[1885].end |
8540.60346875 |
transcript.pyannote[1886].speaker |
SPEAKER_23 |
transcript.pyannote[1886].start |
8540.60346875 |
transcript.pyannote[1886].end |
8540.72159375 |
transcript.pyannote[1887].speaker |
SPEAKER_23 |
transcript.pyannote[1887].start |
8540.85659375 |
transcript.pyannote[1887].end |
8551.35284375 |
transcript.pyannote[1888].speaker |
SPEAKER_10 |
transcript.pyannote[1888].start |
8541.59909375 |
transcript.pyannote[1888].end |
8542.83096875 |
transcript.pyannote[1889].speaker |
SPEAKER_10 |
transcript.pyannote[1889].start |
8551.85909375 |
transcript.pyannote[1889].end |
8551.94346875 |
transcript.pyannote[1890].speaker |
SPEAKER_10 |
transcript.pyannote[1890].start |
8552.09534375 |
transcript.pyannote[1890].end |
8560.24596875 |
transcript.pyannote[1891].speaker |
SPEAKER_23 |
transcript.pyannote[1891].start |
8555.87534375 |
transcript.pyannote[1891].end |
8557.24221875 |
transcript.pyannote[1892].speaker |
SPEAKER_23 |
transcript.pyannote[1892].start |
8560.04346875 |
transcript.pyannote[1892].end |
8571.02909375 |
transcript.pyannote[1893].speaker |
SPEAKER_10 |
transcript.pyannote[1893].start |
8569.61159375 |
transcript.pyannote[1893].end |
8570.03346875 |
transcript.pyannote[1894].speaker |
SPEAKER_10 |
transcript.pyannote[1894].start |
8570.05034375 |
transcript.pyannote[1894].end |
8570.59034375 |
transcript.pyannote[1895].speaker |
SPEAKER_10 |
transcript.pyannote[1895].start |
8571.02909375 |
transcript.pyannote[1895].end |
8571.18096875 |
transcript.pyannote[1896].speaker |
SPEAKER_23 |
transcript.pyannote[1896].start |
8571.18096875 |
transcript.pyannote[1896].end |
8571.23159375 |
transcript.pyannote[1897].speaker |
SPEAKER_10 |
transcript.pyannote[1897].start |
8571.23159375 |
transcript.pyannote[1897].end |
8571.36659375 |
transcript.pyannote[1898].speaker |
SPEAKER_23 |
transcript.pyannote[1898].start |
8571.36659375 |
transcript.pyannote[1898].end |
8571.97409375 |
transcript.pyannote[1899].speaker |
SPEAKER_10 |
transcript.pyannote[1899].start |
8571.97409375 |
transcript.pyannote[1899].end |
8572.26096875 |
transcript.pyannote[1900].speaker |
SPEAKER_23 |
transcript.pyannote[1900].start |
8572.26096875 |
transcript.pyannote[1900].end |
8572.44659375 |
transcript.pyannote[1901].speaker |
SPEAKER_23 |
transcript.pyannote[1901].start |
8572.68284375 |
transcript.pyannote[1901].end |
8577.39096875 |
transcript.pyannote[1902].speaker |
SPEAKER_09 |
transcript.pyannote[1902].start |
8577.81284375 |
transcript.pyannote[1902].end |
8578.52159375 |
transcript.pyannote[1903].speaker |
SPEAKER_23 |
transcript.pyannote[1903].start |
8578.52159375 |
transcript.pyannote[1903].end |
8578.80846875 |
transcript.pyannote[1904].speaker |
SPEAKER_09 |
transcript.pyannote[1904].start |
8579.06159375 |
transcript.pyannote[1904].end |
8586.03096875 |
transcript.pyannote[1905].speaker |
SPEAKER_10 |
transcript.pyannote[1905].start |
8585.32221875 |
transcript.pyannote[1905].end |
8585.52471875 |
transcript.pyannote[1906].speaker |
SPEAKER_10 |
transcript.pyannote[1906].start |
8586.03096875 |
transcript.pyannote[1906].end |
8586.65534375 |
transcript.pyannote[1907].speaker |
SPEAKER_09 |
transcript.pyannote[1907].start |
8586.65534375 |
transcript.pyannote[1907].end |
8586.89159375 |
transcript.pyannote[1908].speaker |
SPEAKER_10 |
transcript.pyannote[1908].start |
8586.89159375 |
transcript.pyannote[1908].end |
8589.65909375 |
transcript.pyannote[1909].speaker |
SPEAKER_10 |
transcript.pyannote[1909].start |
8590.55346875 |
transcript.pyannote[1909].end |
8592.91596875 |
transcript.pyannote[1910].speaker |
SPEAKER_10 |
transcript.pyannote[1910].start |
8593.06784375 |
transcript.pyannote[1910].end |
8597.94471875 |
transcript.pyannote[1911].speaker |
SPEAKER_09 |
transcript.pyannote[1911].start |
8599.49721875 |
transcript.pyannote[1911].end |
8604.44159375 |
transcript.pyannote[1912].speaker |
SPEAKER_09 |
transcript.pyannote[1912].start |
8604.59346875 |
transcript.pyannote[1912].end |
8611.64721875 |
transcript.pyannote[1913].speaker |
SPEAKER_09 |
transcript.pyannote[1913].start |
8611.88346875 |
transcript.pyannote[1913].end |
8617.78971875 |
transcript.pyannote[1914].speaker |
SPEAKER_10 |
transcript.pyannote[1914].start |
8617.36784375 |
transcript.pyannote[1914].end |
8619.25784375 |
transcript.pyannote[1915].speaker |
SPEAKER_09 |
transcript.pyannote[1915].start |
8618.71784375 |
transcript.pyannote[1915].end |
8620.64159375 |
transcript.pyannote[1916].speaker |
SPEAKER_10 |
transcript.pyannote[1916].start |
8619.79784375 |
transcript.pyannote[1916].end |
8621.85659375 |
transcript.pyannote[1917].speaker |
SPEAKER_10 |
transcript.pyannote[1917].start |
8623.13909375 |
transcript.pyannote[1917].end |
8626.90221875 |
transcript.pyannote[1918].speaker |
SPEAKER_10 |
transcript.pyannote[1918].start |
8627.52659375 |
transcript.pyannote[1918].end |
8628.26909375 |
transcript.pyannote[1919].speaker |
SPEAKER_10 |
transcript.pyannote[1919].start |
8628.97784375 |
transcript.pyannote[1919].end |
8629.78784375 |
transcript.pyannote[1920].speaker |
SPEAKER_10 |
transcript.pyannote[1920].start |
8630.15909375 |
transcript.pyannote[1920].end |
8632.01534375 |
transcript.pyannote[1921].speaker |
SPEAKER_10 |
transcript.pyannote[1921].start |
8632.20096875 |
transcript.pyannote[1921].end |
8632.60596875 |
transcript.pyannote[1922].speaker |
SPEAKER_10 |
transcript.pyannote[1922].start |
8633.51721875 |
transcript.pyannote[1922].end |
8634.44534375 |
transcript.pyannote[1923].speaker |
SPEAKER_23 |
transcript.pyannote[1923].start |
8635.64346875 |
transcript.pyannote[1923].end |
8659.04909375 |
transcript.pyannote[1924].speaker |
SPEAKER_10 |
transcript.pyannote[1924].start |
8659.58909375 |
transcript.pyannote[1924].end |
8660.88846875 |
transcript.pyannote[1925].speaker |
SPEAKER_23 |
transcript.pyannote[1925].start |
8661.12471875 |
transcript.pyannote[1925].end |
8661.69846875 |
transcript.pyannote[1926].speaker |
SPEAKER_10 |
transcript.pyannote[1926].start |
8661.69846875 |
transcript.pyannote[1926].end |
8662.94721875 |
transcript.pyannote[1927].speaker |
SPEAKER_23 |
transcript.pyannote[1927].start |
8661.71534375 |
transcript.pyannote[1927].end |
8662.98096875 |
transcript.pyannote[1928].speaker |
SPEAKER_10 |
transcript.pyannote[1928].start |
8662.98096875 |
transcript.pyannote[1928].end |
8668.29659375 |
transcript.pyannote[1929].speaker |
SPEAKER_23 |
transcript.pyannote[1929].start |
8668.29659375 |
transcript.pyannote[1929].end |
8669.08971875 |
transcript.pyannote[1930].speaker |
SPEAKER_10 |
transcript.pyannote[1930].start |
8669.08971875 |
transcript.pyannote[1930].end |
8669.10659375 |
transcript.pyannote[1931].speaker |
SPEAKER_23 |
transcript.pyannote[1931].start |
8669.10659375 |
transcript.pyannote[1931].end |
8669.14034375 |
transcript.pyannote[1932].speaker |
SPEAKER_10 |
transcript.pyannote[1932].start |
8669.14034375 |
transcript.pyannote[1932].end |
8672.04284375 |
transcript.pyannote[1933].speaker |
SPEAKER_23 |
transcript.pyannote[1933].start |
8669.15721875 |
transcript.pyannote[1933].end |
8669.83221875 |
transcript.pyannote[1934].speaker |
SPEAKER_09 |
transcript.pyannote[1934].start |
8672.09346875 |
transcript.pyannote[1934].end |
8672.11034375 |
transcript.pyannote[1935].speaker |
SPEAKER_23 |
transcript.pyannote[1935].start |
8672.11034375 |
transcript.pyannote[1935].end |
8672.24534375 |
transcript.pyannote[1936].speaker |
SPEAKER_09 |
transcript.pyannote[1936].start |
8672.24534375 |
transcript.pyannote[1936].end |
8674.03409375 |
transcript.pyannote[1937].speaker |
SPEAKER_10 |
transcript.pyannote[1937].start |
8673.52784375 |
transcript.pyannote[1937].end |
8674.72596875 |
transcript.pyannote[1938].speaker |
SPEAKER_23 |
transcript.pyannote[1938].start |
8674.03409375 |
transcript.pyannote[1938].end |
8674.25346875 |
transcript.pyannote[1939].speaker |
SPEAKER_09 |
transcript.pyannote[1939].start |
8674.25346875 |
transcript.pyannote[1939].end |
8674.28721875 |
transcript.pyannote[1940].speaker |
SPEAKER_23 |
transcript.pyannote[1940].start |
8674.28721875 |
transcript.pyannote[1940].end |
8674.32096875 |
transcript.pyannote[1941].speaker |
SPEAKER_09 |
transcript.pyannote[1941].start |
8674.32096875 |
transcript.pyannote[1941].end |
8674.33784375 |
transcript.pyannote[1942].speaker |
SPEAKER_23 |
transcript.pyannote[1942].start |
8674.33784375 |
transcript.pyannote[1942].end |
8674.52346875 |
transcript.pyannote[1943].speaker |
SPEAKER_09 |
transcript.pyannote[1943].start |
8674.60784375 |
transcript.pyannote[1943].end |
8674.65846875 |
transcript.pyannote[1944].speaker |
SPEAKER_09 |
transcript.pyannote[1944].start |
8674.72596875 |
transcript.pyannote[1944].end |
8674.74284375 |
transcript.pyannote[1945].speaker |
SPEAKER_23 |
transcript.pyannote[1945].start |
8674.74284375 |
transcript.pyannote[1945].end |
8695.06034375 |
transcript.pyannote[1946].speaker |
SPEAKER_09 |
transcript.pyannote[1946].start |
8675.77221875 |
transcript.pyannote[1946].end |
8675.78909375 |
transcript.pyannote[1947].speaker |
SPEAKER_10 |
transcript.pyannote[1947].start |
8675.78909375 |
transcript.pyannote[1947].end |
8677.39221875 |
transcript.pyannote[1948].speaker |
SPEAKER_09 |
transcript.pyannote[1948].start |
8677.39221875 |
transcript.pyannote[1948].end |
8677.57784375 |
transcript.pyannote[1949].speaker |
SPEAKER_10 |
transcript.pyannote[1949].start |
8677.57784375 |
transcript.pyannote[1949].end |
8681.54346875 |
transcript.pyannote[1950].speaker |
SPEAKER_23 |
transcript.pyannote[1950].start |
8696.68034375 |
transcript.pyannote[1950].end |
8697.43971875 |
transcript.pyannote[1951].speaker |
SPEAKER_10 |
transcript.pyannote[1951].start |
8697.76034375 |
transcript.pyannote[1951].end |
8698.70534375 |
transcript.pyannote[1952].speaker |
SPEAKER_10 |
transcript.pyannote[1952].start |
8699.14409375 |
transcript.pyannote[1952].end |
8706.43409375 |
transcript.pyannote[1953].speaker |
SPEAKER_10 |
transcript.pyannote[1953].start |
8706.67034375 |
transcript.pyannote[1953].end |
8719.24221875 |
transcript.pyannote[1954].speaker |
SPEAKER_23 |
transcript.pyannote[1954].start |
8709.11721875 |
transcript.pyannote[1954].end |
8709.50534375 |
transcript.pyannote[1955].speaker |
SPEAKER_23 |
transcript.pyannote[1955].start |
8711.78346875 |
transcript.pyannote[1955].end |
8713.21784375 |
transcript.pyannote[1956].speaker |
SPEAKER_23 |
transcript.pyannote[1956].start |
8713.63971875 |
transcript.pyannote[1956].end |
8715.51284375 |
transcript.pyannote[1957].speaker |
SPEAKER_23 |
transcript.pyannote[1957].start |
8720.96346875 |
transcript.pyannote[1957].end |
8727.17346875 |
transcript.pyannote[1958].speaker |
SPEAKER_10 |
transcript.pyannote[1958].start |
8724.32159375 |
transcript.pyannote[1958].end |
8725.58721875 |
transcript.pyannote[1959].speaker |
SPEAKER_23 |
transcript.pyannote[1959].start |
8727.64596875 |
transcript.pyannote[1959].end |
8730.97034375 |
transcript.pyannote[1960].speaker |
SPEAKER_23 |
transcript.pyannote[1960].start |
8731.27409375 |
transcript.pyannote[1960].end |
8732.38784375 |
transcript.pyannote[1961].speaker |
SPEAKER_23 |
transcript.pyannote[1961].start |
8733.50159375 |
transcript.pyannote[1961].end |
8735.91471875 |
transcript.pyannote[1962].speaker |
SPEAKER_23 |
transcript.pyannote[1962].start |
8736.43784375 |
transcript.pyannote[1962].end |
8737.19721875 |
transcript.pyannote[1963].speaker |
SPEAKER_23 |
transcript.pyannote[1963].start |
8737.39971875 |
transcript.pyannote[1963].end |
8739.32346875 |
transcript.pyannote[1964].speaker |
SPEAKER_23 |
transcript.pyannote[1964].start |
8739.81284375 |
transcript.pyannote[1964].end |
8746.29284375 |
transcript.pyannote[1965].speaker |
SPEAKER_23 |
transcript.pyannote[1965].start |
8746.96784375 |
transcript.pyannote[1965].end |
8755.69221875 |
transcript.pyannote[1966].speaker |
SPEAKER_10 |
transcript.pyannote[1966].start |
8754.25784375 |
transcript.pyannote[1966].end |
8754.74721875 |
transcript.pyannote[1967].speaker |
SPEAKER_10 |
transcript.pyannote[1967].start |
8755.52346875 |
transcript.pyannote[1967].end |
8761.29471875 |
transcript.pyannote[1968].speaker |
SPEAKER_10 |
transcript.pyannote[1968].start |
8761.71659375 |
transcript.pyannote[1968].end |
8764.28159375 |
transcript.pyannote[1969].speaker |
SPEAKER_10 |
transcript.pyannote[1969].start |
8764.66971875 |
transcript.pyannote[1969].end |
8766.12096875 |
transcript.pyannote[1970].speaker |
SPEAKER_10 |
transcript.pyannote[1970].start |
8766.69471875 |
transcript.pyannote[1970].end |
8768.38221875 |
transcript.pyannote[1971].speaker |
SPEAKER_10 |
transcript.pyannote[1971].start |
8768.53409375 |
transcript.pyannote[1971].end |
8773.00596875 |
transcript.pyannote[1972].speaker |
SPEAKER_23 |
transcript.pyannote[1972].start |
8773.37721875 |
transcript.pyannote[1972].end |
8787.02909375 |
transcript.pyannote[1973].speaker |
SPEAKER_23 |
transcript.pyannote[1973].start |
8787.45096875 |
transcript.pyannote[1973].end |
8797.28909375 |
transcript.pyannote[1974].speaker |
SPEAKER_23 |
transcript.pyannote[1974].start |
8797.62659375 |
transcript.pyannote[1974].end |
8799.09471875 |
transcript.pyannote[1975].speaker |
SPEAKER_23 |
transcript.pyannote[1975].start |
8799.60096875 |
transcript.pyannote[1975].end |
8802.48659375 |
transcript.pyannote[1976].speaker |
SPEAKER_23 |
transcript.pyannote[1976].start |
8803.29659375 |
transcript.pyannote[1976].end |
8804.30909375 |
transcript.pyannote[1977].speaker |
SPEAKER_23 |
transcript.pyannote[1977].start |
8805.00096875 |
transcript.pyannote[1977].end |
8819.71596875 |
transcript.pyannote[1978].speaker |
SPEAKER_10 |
transcript.pyannote[1978].start |
8815.73346875 |
transcript.pyannote[1978].end |
8816.29034375 |
transcript.pyannote[1979].speaker |
SPEAKER_10 |
transcript.pyannote[1979].start |
8819.71596875 |
transcript.pyannote[1979].end |
8827.27596875 |
transcript.pyannote[1980].speaker |
SPEAKER_23 |
transcript.pyannote[1980].start |
8822.02784375 |
transcript.pyannote[1980].end |
8822.11221875 |
transcript.pyannote[1981].speaker |
SPEAKER_10 |
transcript.pyannote[1981].start |
8827.46159375 |
transcript.pyannote[1981].end |
8831.27534375 |
transcript.pyannote[1982].speaker |
SPEAKER_23 |
transcript.pyannote[1982].start |
8830.49909375 |
transcript.pyannote[1982].end |
8834.76846875 |
transcript.pyannote[1983].speaker |
SPEAKER_10 |
transcript.pyannote[1983].start |
8833.65471875 |
transcript.pyannote[1983].end |
8844.55596875 |
transcript.pyannote[1984].speaker |
SPEAKER_23 |
transcript.pyannote[1984].start |
8836.28721875 |
transcript.pyannote[1984].end |
8836.62471875 |
transcript.pyannote[1985].speaker |
SPEAKER_14 |
transcript.pyannote[1985].start |
8839.62846875 |
transcript.pyannote[1985].end |
8839.72971875 |
transcript.pyannote[1986].speaker |
SPEAKER_23 |
transcript.pyannote[1986].start |
8839.72971875 |
transcript.pyannote[1986].end |
8839.78034375 |
transcript.pyannote[1987].speaker |
SPEAKER_14 |
transcript.pyannote[1987].start |
8839.78034375 |
transcript.pyannote[1987].end |
8839.83096875 |
transcript.pyannote[1988].speaker |
SPEAKER_14 |
transcript.pyannote[1988].start |
8839.86471875 |
transcript.pyannote[1988].end |
8839.93221875 |
transcript.pyannote[1989].speaker |
SPEAKER_14 |
transcript.pyannote[1989].start |
8839.94909375 |
transcript.pyannote[1989].end |
8840.25284375 |
transcript.pyannote[1990].speaker |
SPEAKER_10 |
transcript.pyannote[1990].start |
8844.80909375 |
transcript.pyannote[1990].end |
8847.00284375 |
transcript.pyannote[1991].speaker |
SPEAKER_10 |
transcript.pyannote[1991].start |
8847.15471875 |
transcript.pyannote[1991].end |
8848.94346875 |
transcript.pyannote[1992].speaker |
SPEAKER_23 |
transcript.pyannote[1992].start |
8849.29784375 |
transcript.pyannote[1992].end |
8862.05534375 |
transcript.pyannote[1993].speaker |
SPEAKER_23 |
transcript.pyannote[1993].start |
8862.62909375 |
transcript.pyannote[1993].end |
8884.19534375 |
transcript.pyannote[1994].speaker |
SPEAKER_10 |
transcript.pyannote[1994].start |
8881.57971875 |
transcript.pyannote[1994].end |
8882.64284375 |
transcript.pyannote[1995].speaker |
SPEAKER_10 |
transcript.pyannote[1995].start |
8883.77346875 |
transcript.pyannote[1995].end |
8886.08534375 |
transcript.pyannote[1996].speaker |
SPEAKER_23 |
transcript.pyannote[1996].start |
8886.08534375 |
transcript.pyannote[1996].end |
8893.89846875 |
transcript.pyannote[1997].speaker |
SPEAKER_10 |
transcript.pyannote[1997].start |
8886.50721875 |
transcript.pyannote[1997].end |
8887.57034375 |
transcript.pyannote[1998].speaker |
SPEAKER_10 |
transcript.pyannote[1998].start |
8893.89846875 |
transcript.pyannote[1998].end |
8896.81784375 |
transcript.pyannote[1999].speaker |
SPEAKER_10 |
transcript.pyannote[1999].start |
8896.98659375 |
transcript.pyannote[1999].end |
8899.28159375 |
transcript.pyannote[2000].speaker |
SPEAKER_10 |
transcript.pyannote[2000].start |
8899.55159375 |
transcript.pyannote[2000].end |
8901.10409375 |
transcript.pyannote[2001].speaker |
SPEAKER_10 |
transcript.pyannote[2001].start |
8903.23034375 |
transcript.pyannote[2001].end |
8906.18346875 |
transcript.pyannote[2002].speaker |
SPEAKER_10 |
transcript.pyannote[2002].start |
8906.97659375 |
transcript.pyannote[2002].end |
8907.75284375 |
transcript.pyannote[2003].speaker |
SPEAKER_10 |
transcript.pyannote[2003].start |
8908.10721875 |
transcript.pyannote[2003].end |
8909.49096875 |
transcript.pyannote[2004].speaker |
SPEAKER_23 |
transcript.pyannote[2004].start |
8909.59221875 |
transcript.pyannote[2004].end |
8918.82284375 |
transcript.pyannote[2005].speaker |
SPEAKER_10 |
transcript.pyannote[2005].start |
8911.36409375 |
transcript.pyannote[2005].end |
8912.59596875 |
transcript.pyannote[2006].speaker |
SPEAKER_10 |
transcript.pyannote[2006].start |
8915.38034375 |
transcript.pyannote[2006].end |
8918.41784375 |
transcript.pyannote[2007].speaker |
SPEAKER_10 |
transcript.pyannote[2007].start |
8918.82284375 |
transcript.pyannote[2007].end |
8918.90721875 |
transcript.pyannote[2008].speaker |
SPEAKER_23 |
transcript.pyannote[2008].start |
8918.90721875 |
transcript.pyannote[2008].end |
8918.99159375 |
transcript.pyannote[2009].speaker |
SPEAKER_10 |
transcript.pyannote[2009].start |
8918.99159375 |
transcript.pyannote[2009].end |
8921.65784375 |
transcript.pyannote[2010].speaker |
SPEAKER_23 |
transcript.pyannote[2010].start |
8919.00846875 |
transcript.pyannote[2010].end |
8924.27346875 |
transcript.pyannote[2011].speaker |
SPEAKER_10 |
transcript.pyannote[2011].start |
8922.61971875 |
transcript.pyannote[2011].end |
8923.14284375 |
transcript.pyannote[2012].speaker |
SPEAKER_10 |
transcript.pyannote[2012].start |
8923.73346875 |
transcript.pyannote[2012].end |
8924.81346875 |
transcript.pyannote[2013].speaker |
SPEAKER_10 |
transcript.pyannote[2013].start |
8924.96534375 |
transcript.pyannote[2013].end |
8925.03284375 |
transcript.pyannote[2014].speaker |
SPEAKER_10 |
transcript.pyannote[2014].start |
8925.13409375 |
transcript.pyannote[2014].end |
8928.47534375 |
transcript.pyannote[2015].speaker |
SPEAKER_23 |
transcript.pyannote[2015].start |
8929.57221875 |
transcript.pyannote[2015].end |
8931.46221875 |
transcript.pyannote[2016].speaker |
SPEAKER_23 |
transcript.pyannote[2016].start |
8931.81659375 |
transcript.pyannote[2016].end |
8932.86284375 |
transcript.pyannote[2017].speaker |
SPEAKER_23 |
transcript.pyannote[2017].start |
8932.93034375 |
transcript.pyannote[2017].end |
8934.49971875 |
transcript.pyannote[2018].speaker |
SPEAKER_10 |
transcript.pyannote[2018].start |
8933.75721875 |
transcript.pyannote[2018].end |
8937.43596875 |
transcript.pyannote[2019].speaker |
SPEAKER_23 |
transcript.pyannote[2019].start |
8935.79909375 |
transcript.pyannote[2019].end |
8935.86659375 |
transcript.pyannote[2020].speaker |
SPEAKER_10 |
transcript.pyannote[2020].start |
8937.72284375 |
transcript.pyannote[2020].end |
8937.82409375 |
transcript.pyannote[2021].speaker |
SPEAKER_10 |
transcript.pyannote[2021].start |
8938.41471875 |
transcript.pyannote[2021].end |
8939.91659375 |
transcript.pyannote[2022].speaker |
SPEAKER_10 |
transcript.pyannote[2022].start |
8940.42284375 |
transcript.pyannote[2022].end |
8941.23284375 |
transcript.pyannote[2023].speaker |
SPEAKER_10 |
transcript.pyannote[2023].start |
8941.46909375 |
transcript.pyannote[2023].end |
8942.73471875 |
transcript.pyannote[2024].speaker |
SPEAKER_23 |
transcript.pyannote[2024].start |
8942.21159375 |
transcript.pyannote[2024].end |
8942.88659375 |
transcript.pyannote[2025].speaker |
SPEAKER_10 |
transcript.pyannote[2025].start |
8942.80221875 |
transcript.pyannote[2025].end |
8947.18971875 |
transcript.pyannote[2026].speaker |
SPEAKER_23 |
transcript.pyannote[2026].start |
8947.18971875 |
transcript.pyannote[2026].end |
8950.12596875 |
transcript.pyannote[2027].speaker |
SPEAKER_10 |
transcript.pyannote[2027].start |
8947.93221875 |
transcript.pyannote[2027].end |
8948.35409375 |
transcript.pyannote[2028].speaker |
SPEAKER_10 |
transcript.pyannote[2028].start |
8948.60721875 |
transcript.pyannote[2028].end |
8949.77159375 |
transcript.pyannote[2029].speaker |
SPEAKER_10 |
transcript.pyannote[2029].start |
8950.12596875 |
transcript.pyannote[2029].end |
8950.19346875 |
transcript.pyannote[2030].speaker |
SPEAKER_23 |
transcript.pyannote[2030].start |
8950.19346875 |
transcript.pyannote[2030].end |
8950.21034375 |
transcript.pyannote[2031].speaker |
SPEAKER_10 |
transcript.pyannote[2031].start |
8950.21034375 |
transcript.pyannote[2031].end |
8950.24409375 |
transcript.pyannote[2032].speaker |
SPEAKER_23 |
transcript.pyannote[2032].start |
8950.24409375 |
transcript.pyannote[2032].end |
8950.29471875 |
transcript.pyannote[2033].speaker |
SPEAKER_10 |
transcript.pyannote[2033].start |
8950.29471875 |
transcript.pyannote[2033].end |
8950.42971875 |
transcript.pyannote[2034].speaker |
SPEAKER_23 |
transcript.pyannote[2034].start |
8950.42971875 |
transcript.pyannote[2034].end |
8955.25596875 |
transcript.pyannote[2035].speaker |
SPEAKER_10 |
transcript.pyannote[2035].start |
8950.76721875 |
transcript.pyannote[2035].end |
8952.57284375 |
transcript.pyannote[2036].speaker |
SPEAKER_10 |
transcript.pyannote[2036].start |
8955.25596875 |
transcript.pyannote[2036].end |
8960.38596875 |
transcript.pyannote[2037].speaker |
SPEAKER_10 |
transcript.pyannote[2037].start |
8960.68971875 |
transcript.pyannote[2037].end |
8962.51221875 |
transcript.pyannote[2038].speaker |
SPEAKER_23 |
transcript.pyannote[2038].start |
8963.47409375 |
transcript.pyannote[2038].end |
8964.97596875 |
transcript.pyannote[2039].speaker |
SPEAKER_10 |
transcript.pyannote[2039].start |
8964.97596875 |
transcript.pyannote[2039].end |
8965.00971875 |
transcript.pyannote[2040].speaker |
SPEAKER_23 |
transcript.pyannote[2040].start |
8965.00971875 |
transcript.pyannote[2040].end |
8965.06034375 |
transcript.pyannote[2041].speaker |
SPEAKER_10 |
transcript.pyannote[2041].start |
8965.06034375 |
transcript.pyannote[2041].end |
8966.79846875 |
transcript.pyannote[2042].speaker |
SPEAKER_23 |
transcript.pyannote[2042].start |
8965.34721875 |
transcript.pyannote[2042].end |
8965.70159375 |
transcript.pyannote[2043].speaker |
SPEAKER_23 |
transcript.pyannote[2043].start |
8965.71846875 |
transcript.pyannote[2043].end |
8967.92909375 |
transcript.pyannote[2044].speaker |
SPEAKER_10 |
transcript.pyannote[2044].start |
8967.92909375 |
transcript.pyannote[2044].end |
8969.58284375 |
transcript.pyannote[2045].speaker |
SPEAKER_10 |
transcript.pyannote[2045].start |
8971.27034375 |
transcript.pyannote[2045].end |
8972.14784375 |
transcript.pyannote[2046].speaker |
SPEAKER_10 |
transcript.pyannote[2046].start |
8972.60346875 |
transcript.pyannote[2046].end |
8973.17721875 |
transcript.pyannote[2047].speaker |
SPEAKER_10 |
transcript.pyannote[2047].start |
8973.24471875 |
transcript.pyannote[2047].end |
8974.34159375 |
transcript.pyannote[2048].speaker |
SPEAKER_23 |
transcript.pyannote[2048].start |
8976.19784375 |
transcript.pyannote[2048].end |
8977.29471875 |
transcript.pyannote[2049].speaker |
SPEAKER_23 |
transcript.pyannote[2049].start |
8977.48034375 |
transcript.pyannote[2049].end |
8980.68659375 |
transcript.pyannote[2050].speaker |
SPEAKER_10 |
transcript.pyannote[2050].start |
8979.42096875 |
transcript.pyannote[2050].end |
8986.93034375 |
transcript.pyannote[2051].speaker |
SPEAKER_23 |
transcript.pyannote[2051].start |
8985.51284375 |
transcript.pyannote[2051].end |
8988.68534375 |
transcript.pyannote[2052].speaker |
SPEAKER_10 |
transcript.pyannote[2052].start |
8986.98096875 |
transcript.pyannote[2052].end |
8993.59596875 |
transcript.pyannote[2053].speaker |
SPEAKER_10 |
transcript.pyannote[2053].start |
8994.94596875 |
transcript.pyannote[2053].end |
8995.67159375 |
transcript.pyannote[2054].speaker |
SPEAKER_10 |
transcript.pyannote[2054].start |
8996.29596875 |
transcript.pyannote[2054].end |
8996.68409375 |
transcript.pyannote[2055].speaker |
SPEAKER_10 |
transcript.pyannote[2055].start |
8997.32534375 |
transcript.pyannote[2055].end |
9000.68346875 |
transcript.pyannote[2056].speaker |
SPEAKER_10 |
transcript.pyannote[2056].start |
9000.86909375 |
transcript.pyannote[2056].end |
9001.49346875 |
transcript.pyannote[2057].speaker |
SPEAKER_15 |
transcript.pyannote[2057].start |
9001.62846875 |
transcript.pyannote[2057].end |
9001.89846875 |
transcript.pyannote[2058].speaker |
SPEAKER_10 |
transcript.pyannote[2058].start |
9002.15159375 |
transcript.pyannote[2058].end |
9003.34971875 |
transcript.pyannote[2059].speaker |
SPEAKER_10 |
transcript.pyannote[2059].start |
9003.87284375 |
transcript.pyannote[2059].end |
9004.78409375 |
transcript.pyannote[2060].speaker |
SPEAKER_10 |
transcript.pyannote[2060].start |
9004.85159375 |
transcript.pyannote[2060].end |
9007.38284375 |
transcript.pyannote[2061].speaker |
SPEAKER_10 |
transcript.pyannote[2061].start |
9008.95221875 |
transcript.pyannote[2061].end |
9010.11659375 |
transcript.pyannote[2062].speaker |
SPEAKER_23 |
transcript.pyannote[2062].start |
9009.25596875 |
transcript.pyannote[2062].end |
9009.69471875 |
transcript.pyannote[2063].speaker |
SPEAKER_23 |
transcript.pyannote[2063].start |
9010.57221875 |
transcript.pyannote[2063].end |
9010.62284375 |
transcript.pyannote[2064].speaker |
SPEAKER_10 |
transcript.pyannote[2064].start |
9010.62284375 |
transcript.pyannote[2064].end |
9010.74096875 |
transcript.pyannote[2065].speaker |
SPEAKER_23 |
transcript.pyannote[2065].start |
9010.74096875 |
transcript.pyannote[2065].end |
9010.85909375 |
transcript.pyannote[2066].speaker |
SPEAKER_10 |
transcript.pyannote[2066].start |
9011.36534375 |
transcript.pyannote[2066].end |
9011.39909375 |
transcript.pyannote[2067].speaker |
SPEAKER_23 |
transcript.pyannote[2067].start |
9011.39909375 |
transcript.pyannote[2067].end |
9012.15846875 |
transcript.pyannote[2068].speaker |
SPEAKER_10 |
transcript.pyannote[2068].start |
9012.15846875 |
transcript.pyannote[2068].end |
9013.22159375 |
transcript.pyannote[2069].speaker |
SPEAKER_23 |
transcript.pyannote[2069].start |
9012.17534375 |
transcript.pyannote[2069].end |
9013.06971875 |
transcript.pyannote[2070].speaker |
SPEAKER_23 |
transcript.pyannote[2070].start |
9013.22159375 |
transcript.pyannote[2070].end |
9014.35221875 |
transcript.pyannote[2071].speaker |
SPEAKER_10 |
transcript.pyannote[2071].start |
9014.35221875 |
transcript.pyannote[2071].end |
9016.63034375 |
transcript.pyannote[2072].speaker |
SPEAKER_23 |
transcript.pyannote[2072].start |
9014.43659375 |
transcript.pyannote[2072].end |
9015.17909375 |
transcript.pyannote[2073].speaker |
SPEAKER_23 |
transcript.pyannote[2073].start |
9015.48284375 |
transcript.pyannote[2073].end |
9015.58409375 |
transcript.pyannote[2074].speaker |
SPEAKER_10 |
transcript.pyannote[2074].start |
9016.90034375 |
transcript.pyannote[2074].end |
9023.54909375 |
transcript.pyannote[2075].speaker |
SPEAKER_23 |
transcript.pyannote[2075].start |
9024.29159375 |
transcript.pyannote[2075].end |
9038.34846875 |
transcript.pyannote[2076].speaker |
SPEAKER_10 |
transcript.pyannote[2076].start |
9027.95346875 |
transcript.pyannote[2076].end |
9028.64534375 |
transcript.pyannote[2077].speaker |
SPEAKER_10 |
transcript.pyannote[2077].start |
9038.34846875 |
transcript.pyannote[2077].end |
9043.03971875 |
transcript.pyannote[2078].speaker |
SPEAKER_23 |
transcript.pyannote[2078].start |
9043.91721875 |
transcript.pyannote[2078].end |
9047.12346875 |
transcript.pyannote[2079].speaker |
SPEAKER_10 |
transcript.pyannote[2079].start |
9044.76096875 |
transcript.pyannote[2079].end |
9051.61221875 |
transcript.pyannote[2080].speaker |
SPEAKER_10 |
transcript.pyannote[2080].start |
9052.42221875 |
transcript.pyannote[2080].end |
9053.90721875 |
transcript.pyannote[2081].speaker |
SPEAKER_23 |
transcript.pyannote[2081].start |
9054.78471875 |
transcript.pyannote[2081].end |
9059.91471875 |
transcript.pyannote[2082].speaker |
SPEAKER_10 |
transcript.pyannote[2082].start |
9059.62784375 |
transcript.pyannote[2082].end |
9063.07034375 |
transcript.pyannote[2083].speaker |
SPEAKER_23 |
transcript.pyannote[2083].start |
9059.98221875 |
transcript.pyannote[2083].end |
9060.40409375 |
transcript.pyannote[2084].speaker |
SPEAKER_23 |
transcript.pyannote[2084].start |
9061.43346875 |
transcript.pyannote[2084].end |
9070.61346875 |
transcript.pyannote[2085].speaker |
SPEAKER_23 |
transcript.pyannote[2085].start |
9070.95096875 |
transcript.pyannote[2085].end |
9081.05909375 |
transcript.pyannote[2086].speaker |
SPEAKER_10 |
transcript.pyannote[2086].start |
9081.05909375 |
transcript.pyannote[2086].end |
9092.44971875 |
transcript.pyannote[2087].speaker |
SPEAKER_23 |
transcript.pyannote[2087].start |
9081.07596875 |
transcript.pyannote[2087].end |
9081.10971875 |
transcript.pyannote[2088].speaker |
SPEAKER_23 |
transcript.pyannote[2088].start |
9081.32909375 |
transcript.pyannote[2088].end |
9081.81846875 |
transcript.pyannote[2089].speaker |
SPEAKER_23 |
transcript.pyannote[2089].start |
9083.77596875 |
transcript.pyannote[2089].end |
9084.85596875 |
transcript.pyannote[2090].speaker |
SPEAKER_23 |
transcript.pyannote[2090].start |
9088.06221875 |
transcript.pyannote[2090].end |
9088.19721875 |
transcript.pyannote[2091].speaker |
SPEAKER_23 |
transcript.pyannote[2091].start |
9088.56846875 |
transcript.pyannote[2091].end |
9088.58534375 |
transcript.pyannote[2092].speaker |
SPEAKER_23 |
transcript.pyannote[2092].start |
9090.96471875 |
transcript.pyannote[2092].end |
9091.18409375 |
transcript.pyannote[2093].speaker |
SPEAKER_23 |
transcript.pyannote[2093].start |
9092.44971875 |
transcript.pyannote[2093].end |
9095.63909375 |
transcript.pyannote[2094].speaker |
SPEAKER_10 |
transcript.pyannote[2094].start |
9093.66471875 |
transcript.pyannote[2094].end |
9093.68159375 |
transcript.pyannote[2095].speaker |
SPEAKER_10 |
transcript.pyannote[2095].start |
9093.69846875 |
transcript.pyannote[2095].end |
9093.73221875 |
transcript.pyannote[2096].speaker |
SPEAKER_10 |
transcript.pyannote[2096].start |
9093.76596875 |
transcript.pyannote[2096].end |
9093.91784375 |
transcript.pyannote[2097].speaker |
SPEAKER_10 |
transcript.pyannote[2097].start |
9095.03159375 |
transcript.pyannote[2097].end |
9100.53284375 |
transcript.pyannote[2098].speaker |
SPEAKER_10 |
transcript.pyannote[2098].start |
9100.81971875 |
transcript.pyannote[2098].end |
9101.66346875 |
transcript.pyannote[2099].speaker |
SPEAKER_10 |
transcript.pyannote[2099].start |
9103.06409375 |
transcript.pyannote[2099].end |
9103.51971875 |
transcript.pyannote[2100].speaker |
SPEAKER_10 |
transcript.pyannote[2100].start |
9104.48159375 |
transcript.pyannote[2100].end |
9107.11409375 |
transcript.pyannote[2101].speaker |
SPEAKER_01 |
transcript.pyannote[2101].start |
9106.75971875 |
transcript.pyannote[2101].end |
9107.67096875 |
transcript.pyannote[2102].speaker |
SPEAKER_10 |
transcript.pyannote[2102].start |
9107.67096875 |
transcript.pyannote[2102].end |
9118.74096875 |
transcript.pyannote[2103].speaker |
SPEAKER_01 |
transcript.pyannote[2103].start |
9107.68784375 |
transcript.pyannote[2103].end |
9107.73846875 |
transcript.pyannote[2104].speaker |
SPEAKER_01 |
transcript.pyannote[2104].start |
9109.84784375 |
transcript.pyannote[2104].end |
9109.89846875 |
transcript.pyannote[2105].speaker |
SPEAKER_15 |
transcript.pyannote[2105].start |
9111.02909375 |
transcript.pyannote[2105].end |
9111.28221875 |
transcript.pyannote[2106].speaker |
SPEAKER_23 |
transcript.pyannote[2106].start |
9111.28221875 |
transcript.pyannote[2106].end |
9111.29909375 |
transcript.pyannote[2107].speaker |
SPEAKER_15 |
transcript.pyannote[2107].start |
9111.29909375 |
transcript.pyannote[2107].end |
9111.58596875 |
transcript.pyannote[2108].speaker |
SPEAKER_23 |
transcript.pyannote[2108].start |
9113.79659375 |
transcript.pyannote[2108].end |
9115.93971875 |
transcript.pyannote[2109].speaker |
SPEAKER_23 |
transcript.pyannote[2109].start |
9116.58096875 |
transcript.pyannote[2109].end |
9117.13784375 |
transcript.pyannote[2110].speaker |
SPEAKER_23 |
transcript.pyannote[2110].start |
9117.42471875 |
transcript.pyannote[2110].end |
9117.45846875 |
transcript.pyannote[2111].speaker |
SPEAKER_23 |
transcript.pyannote[2111].start |
9117.59346875 |
transcript.pyannote[2111].end |
9120.07409375 |
transcript.pyannote[2112].speaker |
SPEAKER_10 |
transcript.pyannote[2112].start |
9120.07409375 |
transcript.pyannote[2112].end |
9121.10346875 |
transcript.pyannote[2113].speaker |
SPEAKER_23 |
transcript.pyannote[2113].start |
9121.10346875 |
transcript.pyannote[2113].end |
9121.15409375 |
transcript.pyannote[2114].speaker |
SPEAKER_10 |
transcript.pyannote[2114].start |
9121.15409375 |
transcript.pyannote[2114].end |
9121.22159375 |
transcript.pyannote[2115].speaker |
SPEAKER_10 |
transcript.pyannote[2115].start |
9121.55909375 |
transcript.pyannote[2115].end |
9124.59659375 |
transcript.pyannote[2116].speaker |
SPEAKER_23 |
transcript.pyannote[2116].start |
9125.01846875 |
transcript.pyannote[2116].end |
9129.77721875 |
transcript.pyannote[2117].speaker |
SPEAKER_14 |
transcript.pyannote[2117].start |
9125.94659375 |
transcript.pyannote[2117].end |
9127.36409375 |
transcript.pyannote[2118].speaker |
SPEAKER_10 |
transcript.pyannote[2118].start |
9127.36409375 |
transcript.pyannote[2118].end |
9127.48221875 |
transcript.pyannote[2119].speaker |
SPEAKER_14 |
transcript.pyannote[2119].start |
9127.48221875 |
transcript.pyannote[2119].end |
9127.60034375 |
transcript.pyannote[2120].speaker |
SPEAKER_10 |
transcript.pyannote[2120].start |
9128.95034375 |
transcript.pyannote[2120].end |
9131.43096875 |
transcript.pyannote[2121].speaker |
SPEAKER_20 |
transcript.pyannote[2121].start |
9130.87409375 |
transcript.pyannote[2121].end |
9130.92471875 |
transcript.pyannote[2122].speaker |
SPEAKER_23 |
transcript.pyannote[2122].start |
9130.92471875 |
transcript.pyannote[2122].end |
9131.32971875 |
transcript.pyannote[2123].speaker |
SPEAKER_20 |
transcript.pyannote[2123].start |
9131.32971875 |
transcript.pyannote[2123].end |
9131.36346875 |
transcript.pyannote[2124].speaker |
SPEAKER_23 |
transcript.pyannote[2124].start |
9131.36346875 |
transcript.pyannote[2124].end |
9131.83596875 |
transcript.pyannote[2125].speaker |
SPEAKER_20 |
transcript.pyannote[2125].start |
9132.02159375 |
transcript.pyannote[2125].end |
9134.68784375 |
transcript.pyannote[2126].speaker |
SPEAKER_20 |
transcript.pyannote[2126].start |
9136.22346875 |
transcript.pyannote[2126].end |
9138.75471875 |
transcript.pyannote[2127].speaker |
SPEAKER_20 |
transcript.pyannote[2127].start |
9139.10909375 |
transcript.pyannote[2127].end |
9140.34096875 |
transcript.pyannote[2128].speaker |
SPEAKER_20 |
transcript.pyannote[2128].start |
9140.94846875 |
transcript.pyannote[2128].end |
9142.68659375 |
transcript.pyannote[2129].speaker |
SPEAKER_20 |
transcript.pyannote[2129].start |
9143.19284375 |
transcript.pyannote[2129].end |
9144.71159375 |
transcript.pyannote[2130].speaker |
SPEAKER_20 |
transcript.pyannote[2130].start |
9751.75596875 |
transcript.pyannote[2130].end |
9754.37159375 |
transcript.pyannote[2131].speaker |
SPEAKER_20 |
transcript.pyannote[2131].start |
9755.04659375 |
transcript.pyannote[2131].end |
9756.76784375 |
transcript.pyannote[2132].speaker |
SPEAKER_20 |
transcript.pyannote[2132].start |
9757.39221875 |
transcript.pyannote[2132].end |
9759.09659375 |
transcript.pyannote[2133].speaker |
SPEAKER_05 |
transcript.pyannote[2133].start |
9766.82534375 |
transcript.pyannote[2133].end |
9768.83346875 |
transcript.pyannote[2134].speaker |
SPEAKER_05 |
transcript.pyannote[2134].start |
9769.87971875 |
transcript.pyannote[2134].end |
9770.21721875 |
transcript.pyannote[2135].speaker |
SPEAKER_20 |
transcript.pyannote[2135].start |
9771.28034375 |
transcript.pyannote[2135].end |
9771.41534375 |
transcript.pyannote[2136].speaker |
SPEAKER_05 |
transcript.pyannote[2136].start |
9771.41534375 |
transcript.pyannote[2136].end |
9771.92159375 |
transcript.pyannote[2137].speaker |
SPEAKER_05 |
transcript.pyannote[2137].start |
9779.97096875 |
transcript.pyannote[2137].end |
9780.30846875 |
transcript.pyannote[2138].speaker |
SPEAKER_23 |
transcript.pyannote[2138].start |
9780.05534375 |
transcript.pyannote[2138].end |
9780.71346875 |
transcript.pyannote[2139].speaker |
SPEAKER_05 |
transcript.pyannote[2139].start |
9780.71346875 |
transcript.pyannote[2139].end |
9780.74721875 |
transcript.pyannote[2140].speaker |
SPEAKER_05 |
transcript.pyannote[2140].start |
9780.96659375 |
transcript.pyannote[2140].end |
9792.93096875 |
transcript.pyannote[2141].speaker |
SPEAKER_23 |
transcript.pyannote[2141].start |
9786.34971875 |
transcript.pyannote[2141].end |
9786.83909375 |
transcript.pyannote[2142].speaker |
SPEAKER_05 |
transcript.pyannote[2142].start |
9793.21784375 |
transcript.pyannote[2142].end |
9797.84159375 |
transcript.pyannote[2143].speaker |
SPEAKER_05 |
transcript.pyannote[2143].start |
9798.41534375 |
transcript.pyannote[2143].end |
9801.38534375 |
transcript.pyannote[2144].speaker |
SPEAKER_05 |
transcript.pyannote[2144].start |
9801.58784375 |
transcript.pyannote[2144].end |
9802.24596875 |
transcript.pyannote[2145].speaker |
SPEAKER_05 |
transcript.pyannote[2145].start |
9803.44409375 |
transcript.pyannote[2145].end |
9805.95846875 |
transcript.pyannote[2146].speaker |
SPEAKER_14 |
transcript.pyannote[2146].start |
9805.95846875 |
transcript.pyannote[2146].end |
9805.99221875 |
transcript.pyannote[2147].speaker |
SPEAKER_05 |
transcript.pyannote[2147].start |
9806.31284375 |
transcript.pyannote[2147].end |
9808.01721875 |
transcript.pyannote[2148].speaker |
SPEAKER_05 |
transcript.pyannote[2148].start |
9808.45596875 |
transcript.pyannote[2148].end |
9814.41284375 |
transcript.pyannote[2149].speaker |
SPEAKER_05 |
transcript.pyannote[2149].start |
9814.91909375 |
transcript.pyannote[2149].end |
9818.51346875 |
transcript.pyannote[2150].speaker |
SPEAKER_05 |
transcript.pyannote[2150].start |
9818.56409375 |
transcript.pyannote[2150].end |
9829.68471875 |
transcript.pyannote[2151].speaker |
SPEAKER_05 |
transcript.pyannote[2151].start |
9829.81971875 |
transcript.pyannote[2151].end |
9831.43971875 |
transcript.pyannote[2152].speaker |
SPEAKER_23 |
transcript.pyannote[2152].start |
9832.06409375 |
transcript.pyannote[2152].end |
9880.84971875 |
transcript.pyannote[2153].speaker |
SPEAKER_05 |
transcript.pyannote[2153].start |
9832.72221875 |
transcript.pyannote[2153].end |
9833.14409375 |
transcript.pyannote[2154].speaker |
SPEAKER_05 |
transcript.pyannote[2154].start |
9851.03159375 |
transcript.pyannote[2154].end |
9851.97659375 |
transcript.pyannote[2155].speaker |
SPEAKER_05 |
transcript.pyannote[2155].start |
9853.17471875 |
transcript.pyannote[2155].end |
9854.74409375 |
transcript.pyannote[2156].speaker |
SPEAKER_05 |
transcript.pyannote[2156].start |
9857.07284375 |
transcript.pyannote[2156].end |
9858.67596875 |
transcript.pyannote[2157].speaker |
SPEAKER_05 |
transcript.pyannote[2157].start |
9865.10534375 |
transcript.pyannote[2157].end |
9865.96596875 |
transcript.pyannote[2158].speaker |
SPEAKER_05 |
transcript.pyannote[2158].start |
9869.50971875 |
transcript.pyannote[2158].end |
9870.13409375 |
transcript.pyannote[2159].speaker |
SPEAKER_05 |
transcript.pyannote[2159].start |
9879.16221875 |
transcript.pyannote[2159].end |
9890.63721875 |
transcript.pyannote[2160].speaker |
SPEAKER_23 |
transcript.pyannote[2160].start |
9889.62471875 |
transcript.pyannote[2160].end |
9891.36284375 |
transcript.pyannote[2161].speaker |
SPEAKER_05 |
transcript.pyannote[2161].start |
9890.85659375 |
transcript.pyannote[2161].end |
9903.64784375 |
transcript.pyannote[2162].speaker |
SPEAKER_23 |
transcript.pyannote[2162].start |
9891.48096875 |
transcript.pyannote[2162].end |
9891.53159375 |
transcript.pyannote[2163].speaker |
SPEAKER_23 |
transcript.pyannote[2163].start |
9892.32471875 |
transcript.pyannote[2163].end |
9892.81409375 |
transcript.pyannote[2164].speaker |
SPEAKER_23 |
transcript.pyannote[2164].start |
9898.95659375 |
transcript.pyannote[2164].end |
9899.58096875 |
transcript.pyannote[2165].speaker |
SPEAKER_00 |
transcript.pyannote[2165].start |
9899.58096875 |
transcript.pyannote[2165].end |
9899.61471875 |
transcript.pyannote[2166].speaker |
SPEAKER_05 |
transcript.pyannote[2166].start |
9904.01909375 |
transcript.pyannote[2166].end |
9904.03596875 |
transcript.pyannote[2167].speaker |
SPEAKER_23 |
transcript.pyannote[2167].start |
9904.03596875 |
transcript.pyannote[2167].end |
9911.03909375 |
transcript.pyannote[2168].speaker |
SPEAKER_05 |
transcript.pyannote[2168].start |
9907.20846875 |
transcript.pyannote[2168].end |
9907.56284375 |
transcript.pyannote[2169].speaker |
SPEAKER_05 |
transcript.pyannote[2169].start |
9911.03909375 |
transcript.pyannote[2169].end |
9935.18721875 |
transcript.pyannote[2170].speaker |
SPEAKER_23 |
transcript.pyannote[2170].start |
9911.64659375 |
transcript.pyannote[2170].end |
9912.00096875 |
transcript.pyannote[2171].speaker |
SPEAKER_23 |
transcript.pyannote[2171].start |
9912.79409375 |
transcript.pyannote[2171].end |
9913.58721875 |
transcript.pyannote[2172].speaker |
SPEAKER_23 |
transcript.pyannote[2172].start |
9915.10596875 |
transcript.pyannote[2172].end |
9915.39284375 |
transcript.pyannote[2173].speaker |
SPEAKER_14 |
transcript.pyannote[2173].start |
9915.39284375 |
transcript.pyannote[2173].end |
9915.46034375 |
transcript.pyannote[2174].speaker |
SPEAKER_00 |
transcript.pyannote[2174].start |
9915.46034375 |
transcript.pyannote[2174].end |
9915.51096875 |
transcript.pyannote[2175].speaker |
SPEAKER_14 |
transcript.pyannote[2175].start |
9915.51096875 |
transcript.pyannote[2175].end |
9915.74721875 |
transcript.pyannote[2176].speaker |
SPEAKER_00 |
transcript.pyannote[2176].start |
9915.74721875 |
transcript.pyannote[2176].end |
9915.81471875 |
transcript.pyannote[2177].speaker |
SPEAKER_14 |
transcript.pyannote[2177].start |
9918.54846875 |
transcript.pyannote[2177].end |
9918.97034375 |
transcript.pyannote[2178].speaker |
SPEAKER_23 |
transcript.pyannote[2178].start |
9925.85534375 |
transcript.pyannote[2178].end |
9928.25159375 |
transcript.pyannote[2179].speaker |
SPEAKER_23 |
transcript.pyannote[2179].start |
9929.26409375 |
transcript.pyannote[2179].end |
9929.29784375 |
transcript.pyannote[2180].speaker |
SPEAKER_14 |
transcript.pyannote[2180].start |
9929.29784375 |
transcript.pyannote[2180].end |
9929.56784375 |
transcript.pyannote[2181].speaker |
SPEAKER_05 |
transcript.pyannote[2181].start |
9935.89596875 |
transcript.pyannote[2181].end |
9938.17409375 |
transcript.pyannote[2182].speaker |
SPEAKER_23 |
transcript.pyannote[2182].start |
9939.20346875 |
transcript.pyannote[2182].end |
9958.64346875 |
transcript.pyannote[2183].speaker |
SPEAKER_15 |
transcript.pyannote[2183].start |
9948.14721875 |
transcript.pyannote[2183].end |
9948.65346875 |
transcript.pyannote[2184].speaker |
SPEAKER_05 |
transcript.pyannote[2184].start |
9958.01909375 |
transcript.pyannote[2184].end |
9959.85846875 |
transcript.pyannote[2185].speaker |
SPEAKER_05 |
transcript.pyannote[2185].start |
9959.90909375 |
transcript.pyannote[2185].end |
9959.94284375 |
transcript.pyannote[2186].speaker |
SPEAKER_23 |
transcript.pyannote[2186].start |
9959.94284375 |
transcript.pyannote[2186].end |
9963.40221875 |
transcript.pyannote[2187].speaker |
SPEAKER_05 |
transcript.pyannote[2187].start |
9961.42784375 |
transcript.pyannote[2187].end |
9962.06909375 |
transcript.pyannote[2188].speaker |
SPEAKER_05 |
transcript.pyannote[2188].start |
9963.11534375 |
transcript.pyannote[2188].end |
9976.68284375 |
transcript.pyannote[2189].speaker |
SPEAKER_23 |
transcript.pyannote[2189].start |
9964.09409375 |
transcript.pyannote[2189].end |
9964.73534375 |
transcript.pyannote[2190].speaker |
SPEAKER_14 |
transcript.pyannote[2190].start |
9969.00471875 |
transcript.pyannote[2190].end |
9969.19034375 |
transcript.pyannote[2191].speaker |
SPEAKER_23 |
transcript.pyannote[2191].start |
9969.19034375 |
transcript.pyannote[2191].end |
9969.20721875 |
transcript.pyannote[2192].speaker |
SPEAKER_15 |
transcript.pyannote[2192].start |
9976.68284375 |
transcript.pyannote[2192].end |
9976.98659375 |
transcript.pyannote[2193].speaker |
SPEAKER_05 |
transcript.pyannote[2193].start |
9976.86846875 |
transcript.pyannote[2193].end |
9981.91409375 |
transcript.pyannote[2194].speaker |
SPEAKER_05 |
transcript.pyannote[2194].start |
9982.35284375 |
transcript.pyannote[2194].end |
9982.36971875 |
transcript.pyannote[2195].speaker |
SPEAKER_23 |
transcript.pyannote[2195].start |
9982.36971875 |
transcript.pyannote[2195].end |
10001.33721875 |
transcript.pyannote[2196].speaker |
SPEAKER_05 |
transcript.pyannote[2196].start |
9986.35221875 |
transcript.pyannote[2196].end |
9987.80346875 |
transcript.pyannote[2197].speaker |
SPEAKER_05 |
transcript.pyannote[2197].start |
9998.06346875 |
transcript.pyannote[2197].end |
10001.37096875 |
transcript.pyannote[2198].speaker |
SPEAKER_23 |
transcript.pyannote[2198].start |
10001.37096875 |
transcript.pyannote[2198].end |
10002.02909375 |
transcript.pyannote[2199].speaker |
SPEAKER_05 |
transcript.pyannote[2199].start |
10002.02909375 |
transcript.pyannote[2199].end |
10002.16409375 |
transcript.pyannote[2200].speaker |
SPEAKER_23 |
transcript.pyannote[2200].start |
10002.16409375 |
transcript.pyannote[2200].end |
10002.21471875 |
transcript.pyannote[2201].speaker |
SPEAKER_05 |
transcript.pyannote[2201].start |
10002.38346875 |
transcript.pyannote[2201].end |
10016.47409375 |
transcript.pyannote[2202].speaker |
SPEAKER_14 |
transcript.pyannote[2202].start |
10015.69784375 |
transcript.pyannote[2202].end |
10016.98034375 |
transcript.pyannote[2203].speaker |
SPEAKER_05 |
transcript.pyannote[2203].start |
10016.94659375 |
transcript.pyannote[2203].end |
10035.45846875 |
transcript.pyannote[2204].speaker |
SPEAKER_14 |
transcript.pyannote[2204].start |
10028.05034375 |
transcript.pyannote[2204].end |
10028.37096875 |
transcript.pyannote[2205].speaker |
SPEAKER_05 |
transcript.pyannote[2205].start |
10036.18409375 |
transcript.pyannote[2205].end |
10038.98534375 |
transcript.pyannote[2206].speaker |
SPEAKER_05 |
transcript.pyannote[2206].start |
10039.67721875 |
transcript.pyannote[2206].end |
10040.52096875 |
transcript.pyannote[2207].speaker |
SPEAKER_23 |
transcript.pyannote[2207].start |
10041.26346875 |
transcript.pyannote[2207].end |
10044.04784375 |
transcript.pyannote[2208].speaker |
SPEAKER_05 |
transcript.pyannote[2208].start |
10043.91284375 |
transcript.pyannote[2208].end |
10046.03909375 |
transcript.pyannote[2209].speaker |
SPEAKER_05 |
transcript.pyannote[2209].start |
10046.22471875 |
transcript.pyannote[2209].end |
10055.50596875 |
transcript.pyannote[2210].speaker |
SPEAKER_23 |
transcript.pyannote[2210].start |
10048.75596875 |
transcript.pyannote[2210].end |
10048.82346875 |
transcript.pyannote[2211].speaker |
SPEAKER_23 |
transcript.pyannote[2211].start |
10050.10596875 |
transcript.pyannote[2211].end |
10050.73034375 |
transcript.pyannote[2212].speaker |
SPEAKER_05 |
transcript.pyannote[2212].start |
10056.14721875 |
transcript.pyannote[2212].end |
10061.96909375 |
transcript.pyannote[2213].speaker |
SPEAKER_23 |
transcript.pyannote[2213].start |
10061.96909375 |
transcript.pyannote[2213].end |
10068.02721875 |
transcript.pyannote[2214].speaker |
SPEAKER_05 |
transcript.pyannote[2214].start |
10068.02721875 |
transcript.pyannote[2214].end |
10084.07534375 |
transcript.pyannote[2215].speaker |
SPEAKER_23 |
transcript.pyannote[2215].start |
10071.77346875 |
transcript.pyannote[2215].end |
10072.26284375 |
transcript.pyannote[2216].speaker |
SPEAKER_14 |
transcript.pyannote[2216].start |
10084.05846875 |
transcript.pyannote[2216].end |
10084.53096875 |
transcript.pyannote[2217].speaker |
SPEAKER_05 |
transcript.pyannote[2217].start |
10084.24409375 |
transcript.pyannote[2217].end |
10090.97721875 |
transcript.pyannote[2218].speaker |
SPEAKER_23 |
transcript.pyannote[2218].start |
10090.97721875 |
transcript.pyannote[2218].end |
10098.16596875 |
transcript.pyannote[2219].speaker |
SPEAKER_23 |
transcript.pyannote[2219].start |
10098.38534375 |
transcript.pyannote[2219].end |
10100.08971875 |
transcript.pyannote[2220].speaker |
SPEAKER_05 |
transcript.pyannote[2220].start |
10099.51596875 |
transcript.pyannote[2220].end |
10099.56659375 |
transcript.pyannote[2221].speaker |
SPEAKER_05 |
transcript.pyannote[2221].start |
10099.61721875 |
transcript.pyannote[2221].end |
10099.71846875 |
transcript.pyannote[2222].speaker |
SPEAKER_05 |
transcript.pyannote[2222].start |
10099.85346875 |
transcript.pyannote[2222].end |
10099.87034375 |
transcript.pyannote[2223].speaker |
SPEAKER_05 |
transcript.pyannote[2223].start |
10099.93784375 |
transcript.pyannote[2223].end |
10147.25534375 |
transcript.pyannote[2224].speaker |
SPEAKER_23 |
transcript.pyannote[2224].start |
10100.12346875 |
transcript.pyannote[2224].end |
10100.14034375 |
transcript.pyannote[2225].speaker |
SPEAKER_23 |
transcript.pyannote[2225].start |
10100.39346875 |
transcript.pyannote[2225].end |
10101.18659375 |
transcript.pyannote[2226].speaker |
SPEAKER_23 |
transcript.pyannote[2226].start |
10105.91159375 |
transcript.pyannote[2226].end |
10105.92846875 |
transcript.pyannote[2227].speaker |
SPEAKER_14 |
transcript.pyannote[2227].start |
10105.92846875 |
transcript.pyannote[2227].end |
10106.16471875 |
transcript.pyannote[2228].speaker |
SPEAKER_14 |
transcript.pyannote[2228].start |
10116.32346875 |
transcript.pyannote[2228].end |
10116.50909375 |
transcript.pyannote[2229].speaker |
SPEAKER_14 |
transcript.pyannote[2229].start |
10116.54284375 |
transcript.pyannote[2229].end |
10116.72846875 |
transcript.pyannote[2230].speaker |
SPEAKER_14 |
transcript.pyannote[2230].start |
10118.53409375 |
transcript.pyannote[2230].end |
10118.93909375 |
transcript.pyannote[2231].speaker |
SPEAKER_14 |
transcript.pyannote[2231].start |
10123.76534375 |
transcript.pyannote[2231].end |
10124.11971875 |
transcript.pyannote[2232].speaker |
SPEAKER_14 |
transcript.pyannote[2232].start |
10132.42221875 |
transcript.pyannote[2232].end |
10132.82721875 |
transcript.pyannote[2233].speaker |
SPEAKER_14 |
transcript.pyannote[2233].start |
10147.25534375 |
transcript.pyannote[2233].end |
10147.67721875 |
transcript.pyannote[2234].speaker |
SPEAKER_05 |
transcript.pyannote[2234].start |
10147.67721875 |
transcript.pyannote[2234].end |
10152.57096875 |
transcript.pyannote[2235].speaker |
SPEAKER_14 |
transcript.pyannote[2235].start |
10152.57096875 |
transcript.pyannote[2235].end |
10152.94221875 |
transcript.pyannote[2236].speaker |
SPEAKER_05 |
transcript.pyannote[2236].start |
10152.89159375 |
transcript.pyannote[2236].end |
10163.79284375 |
transcript.pyannote[2237].speaker |
SPEAKER_05 |
transcript.pyannote[2237].start |
10163.82659375 |
transcript.pyannote[2237].end |
10163.84346875 |
transcript.pyannote[2238].speaker |
SPEAKER_15 |
transcript.pyannote[2238].start |
10163.84346875 |
transcript.pyannote[2238].end |
10164.29909375 |
transcript.pyannote[2239].speaker |
SPEAKER_05 |
transcript.pyannote[2239].start |
10164.29909375 |
transcript.pyannote[2239].end |
10164.31596875 |
transcript.pyannote[2240].speaker |
SPEAKER_05 |
transcript.pyannote[2240].start |
10164.40034375 |
transcript.pyannote[2240].end |
10169.95221875 |
transcript.pyannote[2241].speaker |
SPEAKER_05 |
transcript.pyannote[2241].start |
10170.71159375 |
transcript.pyannote[2241].end |
10176.53346875 |
transcript.pyannote[2242].speaker |
SPEAKER_14 |
transcript.pyannote[2242].start |
10176.60096875 |
transcript.pyannote[2242].end |
10176.73596875 |
transcript.pyannote[2243].speaker |
SPEAKER_05 |
transcript.pyannote[2243].start |
10176.73596875 |
transcript.pyannote[2243].end |
10178.11971875 |
transcript.pyannote[2244].speaker |
SPEAKER_05 |
transcript.pyannote[2244].start |
10178.33909375 |
transcript.pyannote[2244].end |
10186.32096875 |
transcript.pyannote[2245].speaker |
SPEAKER_15 |
transcript.pyannote[2245].start |
10186.47284375 |
transcript.pyannote[2245].end |
10186.91159375 |
transcript.pyannote[2246].speaker |
SPEAKER_05 |
transcript.pyannote[2246].start |
10187.31659375 |
transcript.pyannote[2246].end |
10189.03784375 |
transcript.pyannote[2247].speaker |
SPEAKER_05 |
transcript.pyannote[2247].start |
10189.40909375 |
transcript.pyannote[2247].end |
10196.14221875 |
transcript.pyannote[2248].speaker |
SPEAKER_05 |
transcript.pyannote[2248].start |
10196.31096875 |
transcript.pyannote[2248].end |
10201.66034375 |
transcript.pyannote[2249].speaker |
SPEAKER_23 |
transcript.pyannote[2249].start |
10202.31846875 |
transcript.pyannote[2249].end |
10203.02721875 |
transcript.pyannote[2250].speaker |
SPEAKER_23 |
transcript.pyannote[2250].start |
10203.26346875 |
transcript.pyannote[2250].end |
10216.54409375 |
transcript.pyannote[2251].speaker |
SPEAKER_05 |
transcript.pyannote[2251].start |
10207.56659375 |
transcript.pyannote[2251].end |
10210.92471875 |
transcript.pyannote[2252].speaker |
SPEAKER_05 |
transcript.pyannote[2252].start |
10211.80221875 |
transcript.pyannote[2252].end |
10212.37596875 |
transcript.pyannote[2253].speaker |
SPEAKER_05 |
transcript.pyannote[2253].start |
10214.09721875 |
transcript.pyannote[2253].end |
10215.95346875 |
transcript.pyannote[2254].speaker |
SPEAKER_05 |
transcript.pyannote[2254].start |
10216.13909375 |
transcript.pyannote[2254].end |
10216.18971875 |
transcript.pyannote[2255].speaker |
SPEAKER_05 |
transcript.pyannote[2255].start |
10216.22346875 |
transcript.pyannote[2255].end |
10230.17909375 |
transcript.pyannote[2256].speaker |
SPEAKER_14 |
transcript.pyannote[2256].start |
10219.85159375 |
transcript.pyannote[2256].end |
10220.13846875 |
transcript.pyannote[2257].speaker |
SPEAKER_14 |
transcript.pyannote[2257].start |
10220.20596875 |
transcript.pyannote[2257].end |
10220.25659375 |
transcript.pyannote[2258].speaker |
SPEAKER_14 |
transcript.pyannote[2258].start |
10221.40409375 |
transcript.pyannote[2258].end |
10221.82596875 |
transcript.pyannote[2259].speaker |
SPEAKER_14 |
transcript.pyannote[2259].start |
10230.17909375 |
transcript.pyannote[2259].end |
10230.48284375 |
transcript.pyannote[2260].speaker |
SPEAKER_05 |
transcript.pyannote[2260].start |
10230.44909375 |
transcript.pyannote[2260].end |
10238.58284375 |
transcript.pyannote[2261].speaker |
SPEAKER_05 |
transcript.pyannote[2261].start |
10238.98784375 |
transcript.pyannote[2261].end |
10240.81034375 |
transcript.pyannote[2262].speaker |
SPEAKER_15 |
transcript.pyannote[2262].start |
10240.92846875 |
transcript.pyannote[2262].end |
10241.28284375 |
transcript.pyannote[2263].speaker |
SPEAKER_05 |
transcript.pyannote[2263].start |
10242.39659375 |
transcript.pyannote[2263].end |
10262.56221875 |
transcript.pyannote[2264].speaker |
SPEAKER_23 |
transcript.pyannote[2264].start |
10247.40846875 |
transcript.pyannote[2264].end |
10248.16784375 |
transcript.pyannote[2265].speaker |
SPEAKER_15 |
transcript.pyannote[2265].start |
10262.52846875 |
transcript.pyannote[2265].end |
10262.56221875 |
transcript.pyannote[2266].speaker |
SPEAKER_14 |
transcript.pyannote[2266].start |
10262.56221875 |
transcript.pyannote[2266].end |
10262.71409375 |
transcript.pyannote[2267].speaker |
SPEAKER_15 |
transcript.pyannote[2267].start |
10262.71409375 |
transcript.pyannote[2267].end |
10262.74784375 |
transcript.pyannote[2268].speaker |
SPEAKER_05 |
transcript.pyannote[2268].start |
10262.71409375 |
transcript.pyannote[2268].end |
10266.05534375 |
transcript.pyannote[2269].speaker |
SPEAKER_14 |
transcript.pyannote[2269].start |
10262.74784375 |
transcript.pyannote[2269].end |
10262.78159375 |
transcript.pyannote[2270].speaker |
SPEAKER_23 |
transcript.pyannote[2270].start |
10266.05534375 |
transcript.pyannote[2270].end |
10273.58159375 |
transcript.pyannote[2271].speaker |
SPEAKER_05 |
transcript.pyannote[2271].start |
10272.04596875 |
transcript.pyannote[2271].end |
10290.30471875 |
transcript.pyannote[2272].speaker |
SPEAKER_14 |
transcript.pyannote[2272].start |
10283.82471875 |
transcript.pyannote[2272].end |
10284.16221875 |
transcript.pyannote[2273].speaker |
SPEAKER_05 |
transcript.pyannote[2273].start |
10290.59159375 |
transcript.pyannote[2273].end |
10292.85284375 |
transcript.pyannote[2274].speaker |
SPEAKER_05 |
transcript.pyannote[2274].start |
10293.57846875 |
transcript.pyannote[2274].end |
10295.97471875 |
transcript.pyannote[2275].speaker |
SPEAKER_15 |
transcript.pyannote[2275].start |
10295.97471875 |
transcript.pyannote[2275].end |
10295.99159375 |
transcript.pyannote[2276].speaker |
SPEAKER_05 |
transcript.pyannote[2276].start |
10295.99159375 |
transcript.pyannote[2276].end |
10298.16846875 |
transcript.pyannote[2277].speaker |
SPEAKER_05 |
transcript.pyannote[2277].start |
10298.50596875 |
transcript.pyannote[2277].end |
10307.34846875 |
transcript.pyannote[2278].speaker |
SPEAKER_14 |
transcript.pyannote[2278].start |
10307.21346875 |
transcript.pyannote[2278].end |
10307.31471875 |
transcript.pyannote[2279].speaker |
SPEAKER_14 |
transcript.pyannote[2279].start |
10307.34846875 |
transcript.pyannote[2279].end |
10308.44534375 |
transcript.pyannote[2280].speaker |
SPEAKER_05 |
transcript.pyannote[2280].start |
10307.61846875 |
transcript.pyannote[2280].end |
10318.13159375 |
transcript.pyannote[2281].speaker |
SPEAKER_05 |
transcript.pyannote[2281].start |
10318.77284375 |
transcript.pyannote[2281].end |
10319.53221875 |
transcript.pyannote[2282].speaker |
SPEAKER_23 |
transcript.pyannote[2282].start |
10319.53221875 |
transcript.pyannote[2282].end |
10330.04534375 |
transcript.pyannote[2283].speaker |
SPEAKER_05 |
transcript.pyannote[2283].start |
10327.59846875 |
transcript.pyannote[2283].end |
10329.87659375 |
transcript.pyannote[2284].speaker |
SPEAKER_05 |
transcript.pyannote[2284].start |
10330.04534375 |
transcript.pyannote[2284].end |
10339.49534375 |
transcript.pyannote[2285].speaker |
SPEAKER_23 |
transcript.pyannote[2285].start |
10334.85471875 |
transcript.pyannote[2285].end |
10335.12471875 |
transcript.pyannote[2286].speaker |
SPEAKER_23 |
transcript.pyannote[2286].start |
10336.79534375 |
transcript.pyannote[2286].end |
10340.18721875 |
transcript.pyannote[2287].speaker |
SPEAKER_05 |
transcript.pyannote[2287].start |
10340.18721875 |
transcript.pyannote[2287].end |
10343.57909375 |
transcript.pyannote[2288].speaker |
SPEAKER_23 |
transcript.pyannote[2288].start |
10340.35596875 |
transcript.pyannote[2288].end |
10340.65971875 |
transcript.pyannote[2289].speaker |
SPEAKER_23 |
transcript.pyannote[2289].start |
10344.50721875 |
transcript.pyannote[2289].end |
10344.65909375 |
transcript.pyannote[2290].speaker |
SPEAKER_05 |
transcript.pyannote[2290].start |
10348.01721875 |
transcript.pyannote[2290].end |
10348.37159375 |
transcript.pyannote[2291].speaker |
SPEAKER_05 |
transcript.pyannote[2291].start |
10348.74284375 |
transcript.pyannote[2291].end |
10349.85659375 |
transcript.pyannote[2292].speaker |
SPEAKER_05 |
transcript.pyannote[2292].start |
10350.39659375 |
transcript.pyannote[2292].end |
10353.65346875 |
transcript.pyannote[2293].speaker |
SPEAKER_05 |
transcript.pyannote[2293].start |
10354.31159375 |
transcript.pyannote[2293].end |
10359.12096875 |
transcript.pyannote[2294].speaker |
SPEAKER_05 |
transcript.pyannote[2294].start |
10359.76221875 |
transcript.pyannote[2294].end |
10364.47034375 |
transcript.pyannote[2295].speaker |
SPEAKER_07 |
transcript.pyannote[2295].start |
10364.94284375 |
transcript.pyannote[2295].end |
10367.87909375 |
transcript.pyannote[2296].speaker |
SPEAKER_05 |
transcript.pyannote[2296].start |
10367.65971875 |
transcript.pyannote[2296].end |
10382.34096875 |
transcript.pyannote[2297].speaker |
SPEAKER_07 |
transcript.pyannote[2297].start |
10371.96284375 |
transcript.pyannote[2297].end |
10372.23284375 |
transcript.pyannote[2298].speaker |
SPEAKER_14 |
transcript.pyannote[2298].start |
10372.23284375 |
transcript.pyannote[2298].end |
10372.24971875 |
transcript.pyannote[2299].speaker |
SPEAKER_07 |
transcript.pyannote[2299].start |
10382.54346875 |
transcript.pyannote[2299].end |
10383.30284375 |
transcript.pyannote[2300].speaker |
SPEAKER_05 |
transcript.pyannote[2300].start |
10383.30284375 |
transcript.pyannote[2300].end |
10383.85971875 |
transcript.pyannote[2301].speaker |
SPEAKER_05 |
transcript.pyannote[2301].start |
10384.19721875 |
transcript.pyannote[2301].end |
10387.58909375 |
transcript.pyannote[2302].speaker |
SPEAKER_05 |
transcript.pyannote[2302].start |
10387.96034375 |
transcript.pyannote[2302].end |
10388.50034375 |
transcript.pyannote[2303].speaker |
SPEAKER_07 |
transcript.pyannote[2303].start |
10388.97284375 |
transcript.pyannote[2303].end |
10397.27534375 |
transcript.pyannote[2304].speaker |
SPEAKER_05 |
transcript.pyannote[2304].start |
10395.97596875 |
transcript.pyannote[2304].end |
10405.57784375 |
transcript.pyannote[2305].speaker |
SPEAKER_07 |
transcript.pyannote[2305].start |
10399.51971875 |
transcript.pyannote[2305].end |
10399.95846875 |
transcript.pyannote[2306].speaker |
SPEAKER_07 |
transcript.pyannote[2306].start |
10405.56096875 |
transcript.pyannote[2306].end |
10414.06596875 |
transcript.pyannote[2307].speaker |
SPEAKER_05 |
transcript.pyannote[2307].start |
10405.69596875 |
transcript.pyannote[2307].end |
10406.60721875 |
transcript.pyannote[2308].speaker |
SPEAKER_05 |
transcript.pyannote[2308].start |
10412.41221875 |
transcript.pyannote[2308].end |
10422.58784375 |
transcript.pyannote[2309].speaker |
SPEAKER_20 |
transcript.pyannote[2309].start |
10422.94221875 |
transcript.pyannote[2309].end |
10426.30034375 |
transcript.pyannote[2310].speaker |
SPEAKER_05 |
transcript.pyannote[2310].start |
10424.78159375 |
transcript.pyannote[2310].end |
10424.81534375 |
transcript.pyannote[2311].speaker |
SPEAKER_05 |
transcript.pyannote[2311].start |
10425.00096875 |
transcript.pyannote[2311].end |
10426.04721875 |
transcript.pyannote[2312].speaker |
SPEAKER_20 |
transcript.pyannote[2312].start |
10426.62096875 |
transcript.pyannote[2312].end |
10428.57846875 |
transcript.pyannote[2313].speaker |
SPEAKER_18 |
transcript.pyannote[2313].start |
10436.84721875 |
transcript.pyannote[2313].end |
10439.63159375 |
transcript.pyannote[2314].speaker |
SPEAKER_18 |
transcript.pyannote[2314].start |
10445.11596875 |
transcript.pyannote[2314].end |
10472.94284375 |
transcript.pyannote[2315].speaker |
SPEAKER_00 |
transcript.pyannote[2315].start |
10447.10721875 |
transcript.pyannote[2315].end |
10447.22534375 |
transcript.pyannote[2316].speaker |
SPEAKER_14 |
transcript.pyannote[2316].start |
10447.22534375 |
transcript.pyannote[2316].end |
10447.36034375 |
transcript.pyannote[2317].speaker |
SPEAKER_00 |
transcript.pyannote[2317].start |
10447.36034375 |
transcript.pyannote[2317].end |
10447.44471875 |
transcript.pyannote[2318].speaker |
SPEAKER_00 |
transcript.pyannote[2318].start |
10455.81471875 |
transcript.pyannote[2318].end |
10456.42221875 |
transcript.pyannote[2319].speaker |
SPEAKER_15 |
transcript.pyannote[2319].start |
10462.34534375 |
transcript.pyannote[2319].end |
10462.54784375 |
transcript.pyannote[2320].speaker |
SPEAKER_15 |
transcript.pyannote[2320].start |
10464.33659375 |
transcript.pyannote[2320].end |
10464.40409375 |
transcript.pyannote[2321].speaker |
SPEAKER_14 |
transcript.pyannote[2321].start |
10464.40409375 |
transcript.pyannote[2321].end |
10464.67409375 |
transcript.pyannote[2322].speaker |
SPEAKER_15 |
transcript.pyannote[2322].start |
10464.67409375 |
transcript.pyannote[2322].end |
10464.69096875 |
transcript.pyannote[2323].speaker |
SPEAKER_18 |
transcript.pyannote[2323].start |
10473.14534375 |
transcript.pyannote[2323].end |
10477.24596875 |
transcript.pyannote[2324].speaker |
SPEAKER_18 |
transcript.pyannote[2324].start |
10477.65096875 |
transcript.pyannote[2324].end |
10479.60846875 |
transcript.pyannote[2325].speaker |
SPEAKER_18 |
transcript.pyannote[2325].start |
10479.70971875 |
transcript.pyannote[2325].end |
10489.54784375 |
transcript.pyannote[2326].speaker |
SPEAKER_18 |
transcript.pyannote[2326].start |
10490.23971875 |
transcript.pyannote[2326].end |
10499.31846875 |
transcript.pyannote[2327].speaker |
SPEAKER_18 |
transcript.pyannote[2327].start |
10499.79096875 |
transcript.pyannote[2327].end |
10503.08159375 |
transcript.pyannote[2328].speaker |
SPEAKER_18 |
transcript.pyannote[2328].start |
10504.16159375 |
transcript.pyannote[2328].end |
10504.97159375 |
transcript.pyannote[2329].speaker |
SPEAKER_18 |
transcript.pyannote[2329].start |
10506.72659375 |
transcript.pyannote[2329].end |
10511.06346875 |
transcript.pyannote[2330].speaker |
SPEAKER_18 |
transcript.pyannote[2330].start |
10511.14784375 |
transcript.pyannote[2330].end |
10511.58659375 |
transcript.pyannote[2331].speaker |
SPEAKER_23 |
transcript.pyannote[2331].start |
10512.09284375 |
transcript.pyannote[2331].end |
10524.09096875 |
transcript.pyannote[2332].speaker |
SPEAKER_16 |
transcript.pyannote[2332].start |
10521.81284375 |
transcript.pyannote[2332].end |
10522.85909375 |
transcript.pyannote[2333].speaker |
SPEAKER_16 |
transcript.pyannote[2333].start |
10523.71971875 |
transcript.pyannote[2333].end |
10524.46221875 |
transcript.pyannote[2334].speaker |
SPEAKER_23 |
transcript.pyannote[2334].start |
10524.46221875 |
transcript.pyannote[2334].end |
10529.55846875 |
transcript.pyannote[2335].speaker |
SPEAKER_23 |
transcript.pyannote[2335].start |
10530.77346875 |
transcript.pyannote[2335].end |
10541.89409375 |
transcript.pyannote[2336].speaker |
SPEAKER_18 |
transcript.pyannote[2336].start |
10542.60284375 |
transcript.pyannote[2336].end |
10544.59409375 |
transcript.pyannote[2337].speaker |
SPEAKER_23 |
transcript.pyannote[2337].start |
10543.27784375 |
transcript.pyannote[2337].end |
10552.62659375 |
transcript.pyannote[2338].speaker |
SPEAKER_18 |
transcript.pyannote[2338].start |
10552.71096875 |
transcript.pyannote[2338].end |
10553.14971875 |
transcript.pyannote[2339].speaker |
SPEAKER_23 |
transcript.pyannote[2339].start |
10553.14971875 |
transcript.pyannote[2339].end |
10559.08971875 |
transcript.pyannote[2340].speaker |
SPEAKER_18 |
transcript.pyannote[2340].start |
10558.53284375 |
transcript.pyannote[2340].end |
10559.02221875 |
transcript.pyannote[2341].speaker |
SPEAKER_18 |
transcript.pyannote[2341].start |
10559.08971875 |
transcript.pyannote[2341].end |
10592.36721875 |
transcript.pyannote[2342].speaker |
SPEAKER_23 |
transcript.pyannote[2342].start |
10567.05471875 |
transcript.pyannote[2342].end |
10567.07159375 |
transcript.pyannote[2343].speaker |
SPEAKER_14 |
transcript.pyannote[2343].start |
10567.07159375 |
transcript.pyannote[2343].end |
10567.51034375 |
transcript.pyannote[2344].speaker |
SPEAKER_23 |
transcript.pyannote[2344].start |
10567.51034375 |
transcript.pyannote[2344].end |
10567.54409375 |
transcript.pyannote[2345].speaker |
SPEAKER_00 |
transcript.pyannote[2345].start |
10578.49596875 |
transcript.pyannote[2345].end |
10578.54659375 |
transcript.pyannote[2346].speaker |
SPEAKER_14 |
transcript.pyannote[2346].start |
10578.54659375 |
transcript.pyannote[2346].end |
10578.58034375 |
transcript.pyannote[2347].speaker |
SPEAKER_00 |
transcript.pyannote[2347].start |
10578.58034375 |
transcript.pyannote[2347].end |
10578.64784375 |
transcript.pyannote[2348].speaker |
SPEAKER_14 |
transcript.pyannote[2348].start |
10578.64784375 |
transcript.pyannote[2348].end |
10578.69846875 |
transcript.pyannote[2349].speaker |
SPEAKER_00 |
transcript.pyannote[2349].start |
10578.69846875 |
transcript.pyannote[2349].end |
10578.81659375 |
transcript.pyannote[2350].speaker |
SPEAKER_18 |
transcript.pyannote[2350].start |
10592.94096875 |
transcript.pyannote[2350].end |
10598.98221875 |
transcript.pyannote[2351].speaker |
SPEAKER_18 |
transcript.pyannote[2351].start |
10599.67409375 |
transcript.pyannote[2351].end |
10600.77096875 |
transcript.pyannote[2352].speaker |
SPEAKER_15 |
transcript.pyannote[2352].start |
10600.77096875 |
transcript.pyannote[2352].end |
10601.42909375 |
transcript.pyannote[2353].speaker |
SPEAKER_15 |
transcript.pyannote[2353].start |
10602.17159375 |
transcript.pyannote[2353].end |
10602.47534375 |
transcript.pyannote[2354].speaker |
SPEAKER_18 |
transcript.pyannote[2354].start |
10602.96471875 |
transcript.pyannote[2354].end |
10608.31409375 |
transcript.pyannote[2355].speaker |
SPEAKER_15 |
transcript.pyannote[2355].start |
10602.98159375 |
transcript.pyannote[2355].end |
10603.38659375 |
transcript.pyannote[2356].speaker |
SPEAKER_18 |
transcript.pyannote[2356].start |
10608.46596875 |
transcript.pyannote[2356].end |
10609.05659375 |
transcript.pyannote[2357].speaker |
SPEAKER_18 |
transcript.pyannote[2357].start |
10609.41096875 |
transcript.pyannote[2357].end |
10609.42784375 |
transcript.pyannote[2358].speaker |
SPEAKER_23 |
transcript.pyannote[2358].start |
10609.42784375 |
transcript.pyannote[2358].end |
10610.40659375 |
transcript.pyannote[2359].speaker |
SPEAKER_23 |
transcript.pyannote[2359].start |
10610.87909375 |
transcript.pyannote[2359].end |
10614.00096875 |
transcript.pyannote[2360].speaker |
SPEAKER_23 |
transcript.pyannote[2360].start |
10614.16971875 |
transcript.pyannote[2360].end |
10614.62534375 |
transcript.pyannote[2361].speaker |
SPEAKER_23 |
transcript.pyannote[2361].start |
10615.08096875 |
transcript.pyannote[2361].end |
10615.46909375 |
transcript.pyannote[2362].speaker |
SPEAKER_23 |
transcript.pyannote[2362].start |
10615.65471875 |
transcript.pyannote[2362].end |
10632.85034375 |
transcript.pyannote[2363].speaker |
SPEAKER_18 |
transcript.pyannote[2363].start |
10632.85034375 |
transcript.pyannote[2363].end |
10632.86721875 |
transcript.pyannote[2364].speaker |
SPEAKER_18 |
transcript.pyannote[2364].start |
10634.21721875 |
transcript.pyannote[2364].end |
10634.70659375 |
transcript.pyannote[2365].speaker |
SPEAKER_18 |
transcript.pyannote[2365].start |
10635.28034375 |
transcript.pyannote[2365].end |
10651.15971875 |
transcript.pyannote[2366].speaker |
SPEAKER_23 |
transcript.pyannote[2366].start |
10650.21471875 |
transcript.pyannote[2366].end |
10661.41971875 |
transcript.pyannote[2367].speaker |
SPEAKER_18 |
transcript.pyannote[2367].start |
10654.02846875 |
transcript.pyannote[2367].end |
10654.55159375 |
transcript.pyannote[2368].speaker |
SPEAKER_18 |
transcript.pyannote[2368].start |
10655.31096875 |
transcript.pyannote[2368].end |
10682.02409375 |
transcript.pyannote[2369].speaker |
SPEAKER_23 |
transcript.pyannote[2369].start |
10662.97221875 |
transcript.pyannote[2369].end |
10663.57971875 |
transcript.pyannote[2370].speaker |
SPEAKER_21 |
transcript.pyannote[2370].start |
10670.32971875 |
transcript.pyannote[2370].end |
10670.97096875 |
transcript.pyannote[2371].speaker |
SPEAKER_00 |
transcript.pyannote[2371].start |
10670.97096875 |
transcript.pyannote[2371].end |
10671.40971875 |
transcript.pyannote[2372].speaker |
SPEAKER_00 |
transcript.pyannote[2372].start |
10671.61221875 |
transcript.pyannote[2372].end |
10671.79784375 |
transcript.pyannote[2373].speaker |
SPEAKER_18 |
transcript.pyannote[2373].start |
10682.26034375 |
transcript.pyannote[2373].end |
10686.19221875 |
transcript.pyannote[2374].speaker |
SPEAKER_18 |
transcript.pyannote[2374].start |
10686.29346875 |
transcript.pyannote[2374].end |
10689.70221875 |
transcript.pyannote[2375].speaker |
SPEAKER_18 |
transcript.pyannote[2375].start |
10690.24221875 |
transcript.pyannote[2375].end |
10693.65096875 |
transcript.pyannote[2376].speaker |
SPEAKER_18 |
transcript.pyannote[2376].start |
10693.90409375 |
transcript.pyannote[2376].end |
10699.20284375 |
transcript.pyannote[2377].speaker |
SPEAKER_18 |
transcript.pyannote[2377].start |
10699.84409375 |
transcript.pyannote[2377].end |
10699.86096875 |
transcript.pyannote[2378].speaker |
SPEAKER_23 |
transcript.pyannote[2378].start |
10699.86096875 |
transcript.pyannote[2378].end |
10699.91159375 |
transcript.pyannote[2379].speaker |
SPEAKER_18 |
transcript.pyannote[2379].start |
10699.91159375 |
transcript.pyannote[2379].end |
10699.96221875 |
transcript.pyannote[2380].speaker |
SPEAKER_23 |
transcript.pyannote[2380].start |
10699.96221875 |
transcript.pyannote[2380].end |
10721.73096875 |
transcript.pyannote[2381].speaker |
SPEAKER_23 |
transcript.pyannote[2381].start |
10721.93346875 |
transcript.pyannote[2381].end |
10726.38846875 |
transcript.pyannote[2382].speaker |
SPEAKER_18 |
transcript.pyannote[2382].start |
10724.22846875 |
transcript.pyannote[2382].end |
10734.80909375 |
transcript.pyannote[2383].speaker |
SPEAKER_23 |
transcript.pyannote[2383].start |
10731.70409375 |
transcript.pyannote[2383].end |
10731.97409375 |
transcript.pyannote[2384].speaker |
SPEAKER_18 |
transcript.pyannote[2384].start |
10735.33221875 |
transcript.pyannote[2384].end |
10743.11159375 |
transcript.pyannote[2385].speaker |
SPEAKER_18 |
transcript.pyannote[2385].start |
10743.78659375 |
transcript.pyannote[2385].end |
10758.45096875 |
transcript.pyannote[2386].speaker |
SPEAKER_21 |
transcript.pyannote[2386].start |
10749.77721875 |
transcript.pyannote[2386].end |
10750.21596875 |
transcript.pyannote[2387].speaker |
SPEAKER_18 |
transcript.pyannote[2387].start |
10758.73784375 |
transcript.pyannote[2387].end |
10764.79596875 |
transcript.pyannote[2388].speaker |
SPEAKER_18 |
transcript.pyannote[2388].start |
10765.72409375 |
transcript.pyannote[2388].end |
10766.83784375 |
transcript.pyannote[2389].speaker |
SPEAKER_18 |
transcript.pyannote[2389].start |
10767.10784375 |
transcript.pyannote[2389].end |
10767.96846875 |
transcript.pyannote[2390].speaker |
SPEAKER_23 |
transcript.pyannote[2390].start |
10767.96846875 |
transcript.pyannote[2390].end |
10768.03596875 |
transcript.pyannote[2391].speaker |
SPEAKER_18 |
transcript.pyannote[2391].start |
10768.03596875 |
transcript.pyannote[2391].end |
10768.08659375 |
transcript.pyannote[2392].speaker |
SPEAKER_18 |
transcript.pyannote[2392].start |
10768.59284375 |
transcript.pyannote[2392].end |
10768.60971875 |
transcript.pyannote[2393].speaker |
SPEAKER_23 |
transcript.pyannote[2393].start |
10768.60971875 |
transcript.pyannote[2393].end |
10774.02659375 |
transcript.pyannote[2394].speaker |
SPEAKER_23 |
transcript.pyannote[2394].start |
10774.21221875 |
transcript.pyannote[2394].end |
10781.41784375 |
transcript.pyannote[2395].speaker |
SPEAKER_23 |
transcript.pyannote[2395].start |
10781.80596875 |
transcript.pyannote[2395].end |
10784.45534375 |
transcript.pyannote[2396].speaker |
SPEAKER_23 |
transcript.pyannote[2396].start |
10784.79284375 |
transcript.pyannote[2396].end |
10794.31034375 |
transcript.pyannote[2397].speaker |
SPEAKER_18 |
transcript.pyannote[2397].start |
10794.31034375 |
transcript.pyannote[2397].end |
10813.29471875 |
transcript.pyannote[2398].speaker |
SPEAKER_23 |
transcript.pyannote[2398].start |
10794.71534375 |
transcript.pyannote[2398].end |
10795.84596875 |
transcript.pyannote[2399].speaker |
SPEAKER_23 |
transcript.pyannote[2399].start |
10797.06096875 |
transcript.pyannote[2399].end |
10799.42346875 |
transcript.pyannote[2400].speaker |
SPEAKER_07 |
transcript.pyannote[2400].start |
10806.10596875 |
transcript.pyannote[2400].end |
10806.81471875 |
transcript.pyannote[2401].speaker |
SPEAKER_23 |
transcript.pyannote[2401].start |
10809.64971875 |
transcript.pyannote[2401].end |
10810.44284375 |
transcript.pyannote[2402].speaker |
SPEAKER_23 |
transcript.pyannote[2402].start |
10811.08409375 |
transcript.pyannote[2402].end |
10817.17596875 |
transcript.pyannote[2403].speaker |
SPEAKER_18 |
transcript.pyannote[2403].start |
10813.63221875 |
transcript.pyannote[2403].end |
10813.69971875 |
transcript.pyannote[2404].speaker |
SPEAKER_18 |
transcript.pyannote[2404].start |
10816.36596875 |
transcript.pyannote[2404].end |
10820.46659375 |
transcript.pyannote[2405].speaker |
SPEAKER_23 |
transcript.pyannote[2405].start |
10820.46659375 |
transcript.pyannote[2405].end |
10827.73971875 |
transcript.pyannote[2406].speaker |
SPEAKER_18 |
transcript.pyannote[2406].start |
10826.76096875 |
transcript.pyannote[2406].end |
10830.16971875 |
transcript.pyannote[2407].speaker |
SPEAKER_23 |
transcript.pyannote[2407].start |
10827.89159375 |
transcript.pyannote[2407].end |
10828.11096875 |
transcript.pyannote[2408].speaker |
SPEAKER_23 |
transcript.pyannote[2408].start |
10829.52846875 |
transcript.pyannote[2408].end |
10830.23721875 |
transcript.pyannote[2409].speaker |
SPEAKER_18 |
transcript.pyannote[2409].start |
10830.23721875 |
transcript.pyannote[2409].end |
10830.28784375 |
transcript.pyannote[2410].speaker |
SPEAKER_23 |
transcript.pyannote[2410].start |
10830.28784375 |
transcript.pyannote[2410].end |
10830.59159375 |
transcript.pyannote[2411].speaker |
SPEAKER_18 |
transcript.pyannote[2411].start |
10830.59159375 |
transcript.pyannote[2411].end |
10833.76409375 |
transcript.pyannote[2412].speaker |
SPEAKER_18 |
transcript.pyannote[2412].start |
10834.20284375 |
transcript.pyannote[2412].end |
10845.22221875 |
transcript.pyannote[2413].speaker |
SPEAKER_18 |
transcript.pyannote[2413].start |
10845.84659375 |
transcript.pyannote[2413].end |
10846.13346875 |
transcript.pyannote[2414].speaker |
SPEAKER_18 |
transcript.pyannote[2414].start |
10846.58909375 |
transcript.pyannote[2414].end |
10849.89659375 |
transcript.pyannote[2415].speaker |
SPEAKER_18 |
transcript.pyannote[2415].start |
10850.08221875 |
transcript.pyannote[2415].end |
10853.84534375 |
transcript.pyannote[2416].speaker |
SPEAKER_18 |
transcript.pyannote[2416].start |
10854.70596875 |
transcript.pyannote[2416].end |
10859.92034375 |
transcript.pyannote[2417].speaker |
SPEAKER_23 |
transcript.pyannote[2417].start |
10859.90346875 |
transcript.pyannote[2417].end |
10862.87346875 |
transcript.pyannote[2418].speaker |
SPEAKER_18 |
transcript.pyannote[2418].start |
10861.57409375 |
transcript.pyannote[2418].end |
10861.79346875 |
transcript.pyannote[2419].speaker |
SPEAKER_18 |
transcript.pyannote[2419].start |
10862.87346875 |
transcript.pyannote[2419].end |
10867.19346875 |
transcript.pyannote[2420].speaker |
SPEAKER_23 |
transcript.pyannote[2420].start |
10864.61159375 |
transcript.pyannote[2420].end |
10865.32034375 |
transcript.pyannote[2421].speaker |
SPEAKER_23 |
transcript.pyannote[2421].start |
10867.27784375 |
transcript.pyannote[2421].end |
10886.58284375 |
transcript.pyannote[2422].speaker |
SPEAKER_18 |
transcript.pyannote[2422].start |
10872.66096875 |
transcript.pyannote[2422].end |
10872.96471875 |
transcript.pyannote[2423].speaker |
SPEAKER_18 |
transcript.pyannote[2423].start |
10886.95409375 |
transcript.pyannote[2423].end |
10887.44346875 |
transcript.pyannote[2424].speaker |
SPEAKER_23 |
transcript.pyannote[2424].start |
10887.44346875 |
transcript.pyannote[2424].end |
10887.71346875 |
transcript.pyannote[2425].speaker |
SPEAKER_18 |
transcript.pyannote[2425].start |
10887.71346875 |
transcript.pyannote[2425].end |
10898.66534375 |
transcript.pyannote[2426].speaker |
SPEAKER_23 |
transcript.pyannote[2426].start |
10894.15971875 |
transcript.pyannote[2426].end |
10895.67846875 |
transcript.pyannote[2427].speaker |
SPEAKER_23 |
transcript.pyannote[2427].start |
10897.68659375 |
transcript.pyannote[2427].end |
10901.16284375 |
transcript.pyannote[2428].speaker |
SPEAKER_18 |
transcript.pyannote[2428].start |
10899.15471875 |
transcript.pyannote[2428].end |
10899.94784375 |
transcript.pyannote[2429].speaker |
SPEAKER_18 |
transcript.pyannote[2429].start |
10900.77471875 |
transcript.pyannote[2429].end |
10904.94284375 |
transcript.pyannote[2430].speaker |
SPEAKER_23 |
transcript.pyannote[2430].start |
10901.38221875 |
transcript.pyannote[2430].end |
10902.20909375 |
transcript.pyannote[2431].speaker |
SPEAKER_23 |
transcript.pyannote[2431].start |
10904.99346875 |
transcript.pyannote[2431].end |
10908.65534375 |
transcript.pyannote[2432].speaker |
SPEAKER_18 |
transcript.pyannote[2432].start |
10908.79034375 |
transcript.pyannote[2432].end |
10909.36409375 |
transcript.pyannote[2433].speaker |
SPEAKER_23 |
transcript.pyannote[2433].start |
10909.00971875 |
transcript.pyannote[2433].end |
10909.24596875 |
transcript.pyannote[2434].speaker |
SPEAKER_23 |
transcript.pyannote[2434].start |
10909.44846875 |
transcript.pyannote[2434].end |
10916.87346875 |
transcript.pyannote[2435].speaker |
SPEAKER_18 |
transcript.pyannote[2435].start |
10915.45596875 |
transcript.pyannote[2435].end |
10919.86034375 |
transcript.pyannote[2436].speaker |
SPEAKER_23 |
transcript.pyannote[2436].start |
10918.51034375 |
transcript.pyannote[2436].end |
10921.29471875 |
transcript.pyannote[2437].speaker |
SPEAKER_18 |
transcript.pyannote[2437].start |
10920.01221875 |
transcript.pyannote[2437].end |
10927.77471875 |
transcript.pyannote[2438].speaker |
SPEAKER_15 |
transcript.pyannote[2438].start |
10921.29471875 |
transcript.pyannote[2438].end |
10921.32846875 |
transcript.pyannote[2439].speaker |
SPEAKER_15 |
transcript.pyannote[2439].start |
10923.15096875 |
transcript.pyannote[2439].end |
10923.38721875 |
transcript.pyannote[2440].speaker |
SPEAKER_23 |
transcript.pyannote[2440].start |
10923.38721875 |
transcript.pyannote[2440].end |
10923.40409375 |
transcript.pyannote[2441].speaker |
SPEAKER_18 |
transcript.pyannote[2441].start |
10928.09534375 |
transcript.pyannote[2441].end |
10941.44346875 |
transcript.pyannote[2442].speaker |
SPEAKER_18 |
transcript.pyannote[2442].start |
10941.76409375 |
transcript.pyannote[2442].end |
10956.27659375 |
transcript.pyannote[2443].speaker |
SPEAKER_18 |
transcript.pyannote[2443].start |
10956.85034375 |
transcript.pyannote[2443].end |
10993.24971875 |
transcript.pyannote[2444].speaker |
SPEAKER_15 |
transcript.pyannote[2444].start |
10983.24284375 |
transcript.pyannote[2444].end |
10984.35659375 |
transcript.pyannote[2445].speaker |
SPEAKER_15 |
transcript.pyannote[2445].start |
10984.60971875 |
transcript.pyannote[2445].end |
10984.81221875 |
transcript.pyannote[2446].speaker |
SPEAKER_15 |
transcript.pyannote[2446].start |
10993.24971875 |
transcript.pyannote[2446].end |
10993.53659375 |
transcript.pyannote[2447].speaker |
SPEAKER_18 |
transcript.pyannote[2447].start |
10993.53659375 |
transcript.pyannote[2447].end |
11010.66471875 |
transcript.pyannote[2448].speaker |
SPEAKER_15 |
transcript.pyannote[2448].start |
10993.55346875 |
transcript.pyannote[2448].end |
10993.60409375 |
transcript.pyannote[2449].speaker |
SPEAKER_18 |
transcript.pyannote[2449].start |
11011.17096875 |
transcript.pyannote[2449].end |
11014.07346875 |
transcript.pyannote[2450].speaker |
SPEAKER_18 |
transcript.pyannote[2450].start |
11014.27596875 |
transcript.pyannote[2450].end |
11015.64284375 |
transcript.pyannote[2451].speaker |
SPEAKER_18 |
transcript.pyannote[2451].start |
11015.96346875 |
transcript.pyannote[2451].end |
11023.60784375 |
transcript.pyannote[2452].speaker |
SPEAKER_23 |
transcript.pyannote[2452].start |
11024.53596875 |
transcript.pyannote[2452].end |
11033.98596875 |
transcript.pyannote[2453].speaker |
SPEAKER_23 |
transcript.pyannote[2453].start |
11034.35721875 |
transcript.pyannote[2453].end |
11073.99659375 |
transcript.pyannote[2454].speaker |
SPEAKER_00 |
transcript.pyannote[2454].start |
11034.82971875 |
transcript.pyannote[2454].end |
11035.13346875 |
transcript.pyannote[2455].speaker |
SPEAKER_18 |
transcript.pyannote[2455].start |
11046.35534375 |
transcript.pyannote[2455].end |
11046.81096875 |
transcript.pyannote[2456].speaker |
SPEAKER_18 |
transcript.pyannote[2456].start |
11054.33721875 |
transcript.pyannote[2456].end |
11054.62409375 |
transcript.pyannote[2457].speaker |
SPEAKER_18 |
transcript.pyannote[2457].start |
11055.87284375 |
transcript.pyannote[2457].end |
11057.98221875 |
transcript.pyannote[2458].speaker |
SPEAKER_18 |
transcript.pyannote[2458].start |
11072.27534375 |
transcript.pyannote[2458].end |
11086.63596875 |
transcript.pyannote[2459].speaker |
SPEAKER_20 |
transcript.pyannote[2459].start |
11084.93159375 |
transcript.pyannote[2459].end |
11085.16784375 |
transcript.pyannote[2460].speaker |
SPEAKER_20 |
transcript.pyannote[2460].start |
11086.16346875 |
transcript.pyannote[2460].end |
11087.68221875 |
transcript.pyannote[2461].speaker |
SPEAKER_20 |
transcript.pyannote[2461].start |
11088.32346875 |
transcript.pyannote[2461].end |
11090.41596875 |
transcript.pyannote[2462].speaker |
SPEAKER_20 |
transcript.pyannote[2462].start |
11090.78721875 |
transcript.pyannote[2462].end |
11092.93034375 |
transcript.pyannote[2463].speaker |
SPEAKER_20 |
transcript.pyannote[2463].start |
11096.81159375 |
transcript.pyannote[2463].end |
11097.04784375 |
transcript.pyannote[2464].speaker |
SPEAKER_20 |
transcript.pyannote[2464].start |
11097.14909375 |
transcript.pyannote[2464].end |
11097.43596875 |
transcript.pyannote[2465].speaker |
SPEAKER_20 |
transcript.pyannote[2465].start |
11097.75659375 |
transcript.pyannote[2465].end |
11099.37659375 |
transcript.pyannote[2466].speaker |
SPEAKER_20 |
transcript.pyannote[2466].start |
11103.29159375 |
transcript.pyannote[2466].end |
11103.57846875 |
transcript.pyannote[2467].speaker |
SPEAKER_20 |
transcript.pyannote[2467].start |
11104.94534375 |
transcript.pyannote[2467].end |
11106.09284375 |
transcript.pyannote[2468].speaker |
SPEAKER_11 |
transcript.pyannote[2468].start |
11107.96596875 |
transcript.pyannote[2468].end |
11108.62409375 |
transcript.pyannote[2469].speaker |
SPEAKER_11 |
transcript.pyannote[2469].start |
11109.29909375 |
transcript.pyannote[2469].end |
11110.73346875 |
transcript.pyannote[2470].speaker |
SPEAKER_11 |
transcript.pyannote[2470].start |
11111.02034375 |
transcript.pyannote[2470].end |
11112.21846875 |
transcript.pyannote[2471].speaker |
SPEAKER_23 |
transcript.pyannote[2471].start |
11116.15034375 |
transcript.pyannote[2471].end |
11119.57596875 |
transcript.pyannote[2472].speaker |
SPEAKER_11 |
transcript.pyannote[2472].start |
11117.46659375 |
transcript.pyannote[2472].end |
11121.19596875 |
transcript.pyannote[2473].speaker |
SPEAKER_23 |
transcript.pyannote[2473].start |
11120.82471875 |
transcript.pyannote[2473].end |
11120.97659375 |
transcript.pyannote[2474].speaker |
SPEAKER_23 |
transcript.pyannote[2474].start |
11121.01034375 |
transcript.pyannote[2474].end |
11121.92159375 |
transcript.pyannote[2475].speaker |
SPEAKER_23 |
transcript.pyannote[2475].start |
11122.03971875 |
transcript.pyannote[2475].end |
11122.52909375 |
transcript.pyannote[2476].speaker |
SPEAKER_11 |
transcript.pyannote[2476].start |
11122.61346875 |
transcript.pyannote[2476].end |
11124.08159375 |
transcript.pyannote[2477].speaker |
SPEAKER_11 |
transcript.pyannote[2477].start |
11124.26721875 |
transcript.pyannote[2477].end |
11134.30784375 |
transcript.pyannote[2478].speaker |
SPEAKER_14 |
transcript.pyannote[2478].start |
11134.24034375 |
transcript.pyannote[2478].end |
11134.88159375 |
transcript.pyannote[2479].speaker |
SPEAKER_11 |
transcript.pyannote[2479].start |
11134.72971875 |
transcript.pyannote[2479].end |
11139.82596875 |
transcript.pyannote[2480].speaker |
SPEAKER_14 |
transcript.pyannote[2480].start |
11138.93159375 |
transcript.pyannote[2480].end |
11139.03284375 |
transcript.pyannote[2481].speaker |
SPEAKER_15 |
transcript.pyannote[2481].start |
11139.03284375 |
transcript.pyannote[2481].end |
11139.18471875 |
transcript.pyannote[2482].speaker |
SPEAKER_14 |
transcript.pyannote[2482].start |
11139.18471875 |
transcript.pyannote[2482].end |
11139.28596875 |
transcript.pyannote[2483].speaker |
SPEAKER_15 |
transcript.pyannote[2483].start |
11139.82596875 |
transcript.pyannote[2483].end |
11139.87659375 |
transcript.pyannote[2484].speaker |
SPEAKER_11 |
transcript.pyannote[2484].start |
11139.87659375 |
transcript.pyannote[2484].end |
11139.89346875 |
transcript.pyannote[2485].speaker |
SPEAKER_15 |
transcript.pyannote[2485].start |
11139.89346875 |
transcript.pyannote[2485].end |
11140.07909375 |
transcript.pyannote[2486].speaker |
SPEAKER_11 |
transcript.pyannote[2486].start |
11140.07909375 |
transcript.pyannote[2486].end |
11140.09596875 |
transcript.pyannote[2487].speaker |
SPEAKER_15 |
transcript.pyannote[2487].start |
11140.09596875 |
transcript.pyannote[2487].end |
11140.11284375 |
transcript.pyannote[2488].speaker |
SPEAKER_11 |
transcript.pyannote[2488].start |
11140.11284375 |
transcript.pyannote[2488].end |
11140.16346875 |
transcript.pyannote[2489].speaker |
SPEAKER_11 |
transcript.pyannote[2489].start |
11140.24784375 |
transcript.pyannote[2489].end |
11150.89596875 |
transcript.pyannote[2490].speaker |
SPEAKER_15 |
transcript.pyannote[2490].start |
11150.86221875 |
transcript.pyannote[2490].end |
11151.03096875 |
transcript.pyannote[2491].speaker |
SPEAKER_11 |
transcript.pyannote[2491].start |
11151.03096875 |
transcript.pyannote[2491].end |
11163.90659375 |
transcript.pyannote[2492].speaker |
SPEAKER_15 |
transcript.pyannote[2492].start |
11151.06471875 |
transcript.pyannote[2492].end |
11151.16596875 |
transcript.pyannote[2493].speaker |
SPEAKER_11 |
transcript.pyannote[2493].start |
11164.14284375 |
transcript.pyannote[2493].end |
11179.76909375 |
transcript.pyannote[2494].speaker |
SPEAKER_11 |
transcript.pyannote[2494].start |
11180.14034375 |
transcript.pyannote[2494].end |
11183.31284375 |
transcript.pyannote[2495].speaker |
SPEAKER_11 |
transcript.pyannote[2495].start |
11183.68409375 |
transcript.pyannote[2495].end |
11187.90284375 |
transcript.pyannote[2496].speaker |
SPEAKER_11 |
transcript.pyannote[2496].start |
11188.13909375 |
transcript.pyannote[2496].end |
11191.90221875 |
transcript.pyannote[2497].speaker |
SPEAKER_11 |
transcript.pyannote[2497].start |
11191.95284375 |
transcript.pyannote[2497].end |
11191.96971875 |
transcript.pyannote[2498].speaker |
SPEAKER_11 |
transcript.pyannote[2498].start |
11192.13846875 |
transcript.pyannote[2498].end |
11202.56721875 |
transcript.pyannote[2499].speaker |
SPEAKER_11 |
transcript.pyannote[2499].start |
11202.88784375 |
transcript.pyannote[2499].end |
11204.55846875 |
transcript.pyannote[2500].speaker |
SPEAKER_11 |
transcript.pyannote[2500].start |
11204.98034375 |
transcript.pyannote[2500].end |
11212.59096875 |
transcript.pyannote[2501].speaker |
SPEAKER_11 |
transcript.pyannote[2501].start |
11212.70909375 |
transcript.pyannote[2501].end |
11213.38409375 |
transcript.pyannote[2502].speaker |
SPEAKER_11 |
transcript.pyannote[2502].start |
11213.50221875 |
transcript.pyannote[2502].end |
11215.42596875 |
transcript.pyannote[2503].speaker |
SPEAKER_11 |
transcript.pyannote[2503].start |
11215.52721875 |
transcript.pyannote[2503].end |
11230.24221875 |
transcript.pyannote[2504].speaker |
SPEAKER_11 |
transcript.pyannote[2504].start |
11231.64284375 |
transcript.pyannote[2504].end |
11231.89596875 |
transcript.pyannote[2505].speaker |
SPEAKER_11 |
transcript.pyannote[2505].start |
11232.08159375 |
transcript.pyannote[2505].end |
11239.42221875 |
transcript.pyannote[2506].speaker |
SPEAKER_23 |
transcript.pyannote[2506].start |
11238.44346875 |
transcript.pyannote[2506].end |
11239.21971875 |
transcript.pyannote[2507].speaker |
SPEAKER_23 |
transcript.pyannote[2507].start |
11239.42221875 |
transcript.pyannote[2507].end |
11253.27659375 |
transcript.pyannote[2508].speaker |
SPEAKER_15 |
transcript.pyannote[2508].start |
11252.14596875 |
transcript.pyannote[2508].end |
11252.33159375 |
transcript.pyannote[2509].speaker |
SPEAKER_15 |
transcript.pyannote[2509].start |
11253.27659375 |
transcript.pyannote[2509].end |
11253.59721875 |
transcript.pyannote[2510].speaker |
SPEAKER_23 |
transcript.pyannote[2510].start |
11253.81659375 |
transcript.pyannote[2510].end |
11270.47221875 |
transcript.pyannote[2511].speaker |
SPEAKER_11 |
transcript.pyannote[2511].start |
11269.51034375 |
transcript.pyannote[2511].end |
11270.32034375 |
transcript.pyannote[2512].speaker |
SPEAKER_11 |
transcript.pyannote[2512].start |
11270.47221875 |
transcript.pyannote[2512].end |
11270.50596875 |
transcript.pyannote[2513].speaker |
SPEAKER_23 |
transcript.pyannote[2513].start |
11270.50596875 |
transcript.pyannote[2513].end |
11270.52284375 |
transcript.pyannote[2514].speaker |
SPEAKER_11 |
transcript.pyannote[2514].start |
11270.52284375 |
transcript.pyannote[2514].end |
11270.53971875 |
transcript.pyannote[2515].speaker |
SPEAKER_23 |
transcript.pyannote[2515].start |
11270.53971875 |
transcript.pyannote[2515].end |
11275.60221875 |
transcript.pyannote[2516].speaker |
SPEAKER_11 |
transcript.pyannote[2516].start |
11270.77596875 |
transcript.pyannote[2516].end |
11277.59346875 |
transcript.pyannote[2517].speaker |
SPEAKER_23 |
transcript.pyannote[2517].start |
11277.13784375 |
transcript.pyannote[2517].end |
11283.34784375 |
transcript.pyannote[2518].speaker |
SPEAKER_11 |
transcript.pyannote[2518].start |
11285.60909375 |
transcript.pyannote[2518].end |
11286.95909375 |
transcript.pyannote[2519].speaker |
SPEAKER_23 |
transcript.pyannote[2519].start |
11286.23346875 |
transcript.pyannote[2519].end |
11286.35159375 |
transcript.pyannote[2520].speaker |
SPEAKER_23 |
transcript.pyannote[2520].start |
11286.95909375 |
transcript.pyannote[2520].end |
11287.90409375 |
transcript.pyannote[2521].speaker |
SPEAKER_11 |
transcript.pyannote[2521].start |
11287.70159375 |
transcript.pyannote[2521].end |
11290.31721875 |
transcript.pyannote[2522].speaker |
SPEAKER_23 |
transcript.pyannote[2522].start |
11290.67159375 |
transcript.pyannote[2522].end |
11293.00034375 |
transcript.pyannote[2523].speaker |
SPEAKER_11 |
transcript.pyannote[2523].start |
11291.86971875 |
transcript.pyannote[2523].end |
11294.94096875 |
transcript.pyannote[2524].speaker |
SPEAKER_23 |
transcript.pyannote[2524].start |
11295.02534375 |
transcript.pyannote[2524].end |
11306.90534375 |
transcript.pyannote[2525].speaker |
SPEAKER_11 |
transcript.pyannote[2525].start |
11299.22721875 |
transcript.pyannote[2525].end |
11299.46346875 |
transcript.pyannote[2526].speaker |
SPEAKER_23 |
transcript.pyannote[2526].start |
11307.20909375 |
transcript.pyannote[2526].end |
11308.84596875 |
transcript.pyannote[2527].speaker |
SPEAKER_23 |
transcript.pyannote[2527].start |
11309.26784375 |
transcript.pyannote[2527].end |
11314.33034375 |
transcript.pyannote[2528].speaker |
SPEAKER_15 |
transcript.pyannote[2528].start |
11311.78221875 |
transcript.pyannote[2528].end |
11312.17034375 |
transcript.pyannote[2529].speaker |
SPEAKER_15 |
transcript.pyannote[2529].start |
11314.33034375 |
transcript.pyannote[2529].end |
11314.71846875 |
transcript.pyannote[2530].speaker |
SPEAKER_23 |
transcript.pyannote[2530].start |
11314.78596875 |
transcript.pyannote[2530].end |
11336.80784375 |
transcript.pyannote[2531].speaker |
SPEAKER_15 |
transcript.pyannote[2531].start |
11320.64159375 |
transcript.pyannote[2531].end |
11320.87784375 |
transcript.pyannote[2532].speaker |
SPEAKER_20 |
transcript.pyannote[2532].start |
11324.05034375 |
transcript.pyannote[2532].end |
11324.06721875 |
transcript.pyannote[2533].speaker |
SPEAKER_20 |
transcript.pyannote[2533].start |
11324.11784375 |
transcript.pyannote[2533].end |
11324.26971875 |
transcript.pyannote[2534].speaker |
SPEAKER_00 |
transcript.pyannote[2534].start |
11324.26971875 |
transcript.pyannote[2534].end |
11324.28659375 |
transcript.pyannote[2535].speaker |
SPEAKER_23 |
transcript.pyannote[2535].start |
11337.07784375 |
transcript.pyannote[2535].end |
11338.32659375 |
transcript.pyannote[2536].speaker |
SPEAKER_23 |
transcript.pyannote[2536].start |
11338.66409375 |
transcript.pyannote[2536].end |
11339.37284375 |
transcript.pyannote[2537].speaker |
SPEAKER_23 |
transcript.pyannote[2537].start |
11339.65971875 |
transcript.pyannote[2537].end |
11339.67659375 |
transcript.pyannote[2538].speaker |
SPEAKER_11 |
transcript.pyannote[2538].start |
11339.67659375 |
transcript.pyannote[2538].end |
11339.91284375 |
transcript.pyannote[2539].speaker |
SPEAKER_23 |
transcript.pyannote[2539].start |
11339.91284375 |
transcript.pyannote[2539].end |
11339.96346875 |
transcript.pyannote[2540].speaker |
SPEAKER_11 |
transcript.pyannote[2540].start |
11339.96346875 |
transcript.pyannote[2540].end |
11339.99721875 |
transcript.pyannote[2541].speaker |
SPEAKER_11 |
transcript.pyannote[2541].start |
11340.19971875 |
transcript.pyannote[2541].end |
11350.03784375 |
transcript.pyannote[2542].speaker |
SPEAKER_23 |
transcript.pyannote[2542].start |
11350.03784375 |
transcript.pyannote[2542].end |
11350.24034375 |
transcript.pyannote[2543].speaker |
SPEAKER_11 |
transcript.pyannote[2543].start |
11350.24034375 |
transcript.pyannote[2543].end |
11350.79721875 |
transcript.pyannote[2544].speaker |
SPEAKER_23 |
transcript.pyannote[2544].start |
11351.79284375 |
transcript.pyannote[2544].end |
11363.50409375 |
transcript.pyannote[2545].speaker |
SPEAKER_11 |
transcript.pyannote[2545].start |
11358.37409375 |
transcript.pyannote[2545].end |
11358.77909375 |
transcript.pyannote[2546].speaker |
SPEAKER_11 |
transcript.pyannote[2546].start |
11363.50409375 |
transcript.pyannote[2546].end |
11374.89471875 |
transcript.pyannote[2547].speaker |
SPEAKER_14 |
transcript.pyannote[2547].start |
11373.81471875 |
transcript.pyannote[2547].end |
11374.15221875 |
transcript.pyannote[2548].speaker |
SPEAKER_11 |
transcript.pyannote[2548].start |
11375.21534375 |
transcript.pyannote[2548].end |
11399.81909375 |
transcript.pyannote[2549].speaker |
SPEAKER_14 |
transcript.pyannote[2549].start |
11381.32409375 |
transcript.pyannote[2549].end |
11381.74596875 |
transcript.pyannote[2550].speaker |
SPEAKER_00 |
transcript.pyannote[2550].start |
11386.75784375 |
transcript.pyannote[2550].end |
11386.77471875 |
transcript.pyannote[2551].speaker |
SPEAKER_07 |
transcript.pyannote[2551].start |
11386.77471875 |
transcript.pyannote[2551].end |
11387.44971875 |
transcript.pyannote[2552].speaker |
SPEAKER_00 |
transcript.pyannote[2552].start |
11387.44971875 |
transcript.pyannote[2552].end |
11387.46659375 |
transcript.pyannote[2553].speaker |
SPEAKER_15 |
transcript.pyannote[2553].start |
11392.25909375 |
transcript.pyannote[2553].end |
11392.27596875 |
transcript.pyannote[2554].speaker |
SPEAKER_15 |
transcript.pyannote[2554].start |
11392.30971875 |
transcript.pyannote[2554].end |
11392.36034375 |
transcript.pyannote[2555].speaker |
SPEAKER_14 |
transcript.pyannote[2555].start |
11392.36034375 |
transcript.pyannote[2555].end |
11392.39409375 |
transcript.pyannote[2556].speaker |
SPEAKER_14 |
transcript.pyannote[2556].start |
11392.51221875 |
transcript.pyannote[2556].end |
11392.52909375 |
transcript.pyannote[2557].speaker |
SPEAKER_15 |
transcript.pyannote[2557].start |
11392.52909375 |
transcript.pyannote[2557].end |
11392.57971875 |
transcript.pyannote[2558].speaker |
SPEAKER_23 |
transcript.pyannote[2558].start |
11397.47346875 |
transcript.pyannote[2558].end |
11397.50721875 |
transcript.pyannote[2559].speaker |
SPEAKER_14 |
transcript.pyannote[2559].start |
11397.50721875 |
transcript.pyannote[2559].end |
11397.64221875 |
transcript.pyannote[2560].speaker |
SPEAKER_23 |
transcript.pyannote[2560].start |
11397.64221875 |
transcript.pyannote[2560].end |
11397.76034375 |
transcript.pyannote[2561].speaker |
SPEAKER_11 |
transcript.pyannote[2561].start |
11400.10596875 |
transcript.pyannote[2561].end |
11401.40534375 |
transcript.pyannote[2562].speaker |
SPEAKER_11 |
transcript.pyannote[2562].start |
11401.97909375 |
transcript.pyannote[2562].end |
11402.77221875 |
transcript.pyannote[2563].speaker |
SPEAKER_23 |
transcript.pyannote[2563].start |
11403.48096875 |
transcript.pyannote[2563].end |
11403.90284375 |
transcript.pyannote[2564].speaker |
SPEAKER_23 |
transcript.pyannote[2564].start |
11404.27409375 |
transcript.pyannote[2564].end |
11405.18534375 |
transcript.pyannote[2565].speaker |
SPEAKER_23 |
transcript.pyannote[2565].start |
11406.13034375 |
transcript.pyannote[2565].end |
11420.82846875 |
transcript.pyannote[2566].speaker |
SPEAKER_14 |
transcript.pyannote[2566].start |
11413.15034375 |
transcript.pyannote[2566].end |
11413.38659375 |
transcript.pyannote[2567].speaker |
SPEAKER_15 |
transcript.pyannote[2567].start |
11413.38659375 |
transcript.pyannote[2567].end |
11413.43721875 |
transcript.pyannote[2568].speaker |
SPEAKER_23 |
transcript.pyannote[2568].start |
11421.01409375 |
transcript.pyannote[2568].end |
11427.05534375 |
transcript.pyannote[2569].speaker |
SPEAKER_23 |
transcript.pyannote[2569].start |
11427.29159375 |
transcript.pyannote[2569].end |
11430.83534375 |
transcript.pyannote[2570].speaker |
SPEAKER_15 |
transcript.pyannote[2570].start |
11430.81846875 |
transcript.pyannote[2570].end |
11431.18971875 |
transcript.pyannote[2571].speaker |
SPEAKER_23 |
transcript.pyannote[2571].start |
11431.12221875 |
transcript.pyannote[2571].end |
11438.59784375 |
transcript.pyannote[2572].speaker |
SPEAKER_15 |
transcript.pyannote[2572].start |
11433.21471875 |
transcript.pyannote[2572].end |
11433.33284375 |
transcript.pyannote[2573].speaker |
SPEAKER_11 |
transcript.pyannote[2573].start |
11438.59784375 |
transcript.pyannote[2573].end |
11439.00284375 |
transcript.pyannote[2574].speaker |
SPEAKER_23 |
transcript.pyannote[2574].start |
11439.10409375 |
transcript.pyannote[2574].end |
11441.98971875 |
transcript.pyannote[2575].speaker |
SPEAKER_23 |
transcript.pyannote[2575].start |
11442.52971875 |
transcript.pyannote[2575].end |
11461.10909375 |
transcript.pyannote[2576].speaker |
SPEAKER_23 |
transcript.pyannote[2576].start |
11461.27784375 |
transcript.pyannote[2576].end |
11461.31159375 |
transcript.pyannote[2577].speaker |
SPEAKER_11 |
transcript.pyannote[2577].start |
11461.31159375 |
transcript.pyannote[2577].end |
11461.56471875 |
transcript.pyannote[2578].speaker |
SPEAKER_23 |
transcript.pyannote[2578].start |
11461.56471875 |
transcript.pyannote[2578].end |
11463.16784375 |
transcript.pyannote[2579].speaker |
SPEAKER_11 |
transcript.pyannote[2579].start |
11463.16784375 |
transcript.pyannote[2579].end |
11469.17534375 |
transcript.pyannote[2580].speaker |
SPEAKER_23 |
transcript.pyannote[2580].start |
11463.35346875 |
transcript.pyannote[2580].end |
11463.40409375 |
transcript.pyannote[2581].speaker |
SPEAKER_23 |
transcript.pyannote[2581].start |
11463.42096875 |
transcript.pyannote[2581].end |
11463.52221875 |
transcript.pyannote[2582].speaker |
SPEAKER_23 |
transcript.pyannote[2582].start |
11465.19284375 |
transcript.pyannote[2582].end |
11468.02784375 |
transcript.pyannote[2583].speaker |
SPEAKER_23 |
transcript.pyannote[2583].start |
11469.14159375 |
transcript.pyannote[2583].end |
11476.92096875 |
transcript.pyannote[2584].speaker |
SPEAKER_11 |
transcript.pyannote[2584].start |
11470.08659375 |
transcript.pyannote[2584].end |
11470.39034375 |
transcript.pyannote[2585].speaker |
SPEAKER_11 |
transcript.pyannote[2585].start |
11473.15784375 |
transcript.pyannote[2585].end |
11473.42784375 |
transcript.pyannote[2586].speaker |
SPEAKER_11 |
transcript.pyannote[2586].start |
11476.92096875 |
transcript.pyannote[2586].end |
11501.01846875 |
transcript.pyannote[2587].speaker |
SPEAKER_23 |
transcript.pyannote[2587].start |
11478.92909375 |
transcript.pyannote[2587].end |
11479.21596875 |
transcript.pyannote[2588].speaker |
SPEAKER_23 |
transcript.pyannote[2588].start |
11481.39284375 |
transcript.pyannote[2588].end |
11481.40971875 |
transcript.pyannote[2589].speaker |
SPEAKER_14 |
transcript.pyannote[2589].start |
11481.40971875 |
transcript.pyannote[2589].end |
11481.47721875 |
transcript.pyannote[2590].speaker |
SPEAKER_23 |
transcript.pyannote[2590].start |
11481.47721875 |
transcript.pyannote[2590].end |
11481.52784375 |
transcript.pyannote[2591].speaker |
SPEAKER_14 |
transcript.pyannote[2591].start |
11494.26846875 |
transcript.pyannote[2591].end |
11494.55534375 |
transcript.pyannote[2592].speaker |
SPEAKER_14 |
transcript.pyannote[2592].start |
11501.01846875 |
transcript.pyannote[2592].end |
11501.35596875 |
transcript.pyannote[2593].speaker |
SPEAKER_11 |
transcript.pyannote[2593].start |
11501.25471875 |
transcript.pyannote[2593].end |
11503.68471875 |
transcript.pyannote[2594].speaker |
SPEAKER_11 |
transcript.pyannote[2594].start |
11503.78596875 |
transcript.pyannote[2594].end |
11512.69596875 |
transcript.pyannote[2595].speaker |
SPEAKER_15 |
transcript.pyannote[2595].start |
11512.69596875 |
transcript.pyannote[2595].end |
11513.10096875 |
transcript.pyannote[2596].speaker |
SPEAKER_11 |
transcript.pyannote[2596].start |
11513.10096875 |
transcript.pyannote[2596].end |
11518.99034375 |
transcript.pyannote[2597].speaker |
SPEAKER_11 |
transcript.pyannote[2597].start |
11519.14221875 |
transcript.pyannote[2597].end |
11521.77471875 |
transcript.pyannote[2598].speaker |
SPEAKER_11 |
transcript.pyannote[2598].start |
11521.87596875 |
transcript.pyannote[2598].end |
11528.05221875 |
transcript.pyannote[2599].speaker |
SPEAKER_11 |
transcript.pyannote[2599].start |
11528.06909375 |
transcript.pyannote[2599].end |
11534.49846875 |
transcript.pyannote[2600].speaker |
SPEAKER_11 |
transcript.pyannote[2600].start |
11534.78534375 |
transcript.pyannote[2600].end |
11547.17159375 |
transcript.pyannote[2601].speaker |
SPEAKER_15 |
transcript.pyannote[2601].start |
11545.66971875 |
transcript.pyannote[2601].end |
11546.17596875 |
transcript.pyannote[2602].speaker |
SPEAKER_15 |
transcript.pyannote[2602].start |
11547.34034375 |
transcript.pyannote[2602].end |
11547.40784375 |
transcript.pyannote[2603].speaker |
SPEAKER_11 |
transcript.pyannote[2603].start |
11547.40784375 |
transcript.pyannote[2603].end |
11549.82096875 |
transcript.pyannote[2604].speaker |
SPEAKER_11 |
transcript.pyannote[2604].start |
11550.09096875 |
transcript.pyannote[2604].end |
11554.03971875 |
transcript.pyannote[2605].speaker |
SPEAKER_11 |
transcript.pyannote[2605].start |
11554.30971875 |
transcript.pyannote[2605].end |
11556.89159375 |
transcript.pyannote[2606].speaker |
SPEAKER_11 |
transcript.pyannote[2606].start |
11556.99284375 |
transcript.pyannote[2606].end |
11557.54971875 |
transcript.pyannote[2607].speaker |
SPEAKER_11 |
transcript.pyannote[2607].start |
11557.68471875 |
transcript.pyannote[2607].end |
11558.51159375 |
transcript.pyannote[2608].speaker |
SPEAKER_11 |
transcript.pyannote[2608].start |
11558.62971875 |
transcript.pyannote[2608].end |
11559.57471875 |
transcript.pyannote[2609].speaker |
SPEAKER_23 |
transcript.pyannote[2609].start |
11560.43534375 |
transcript.pyannote[2609].end |
11560.85721875 |
transcript.pyannote[2610].speaker |
SPEAKER_23 |
transcript.pyannote[2610].start |
11561.07659375 |
transcript.pyannote[2610].end |
11562.39284375 |
transcript.pyannote[2611].speaker |
SPEAKER_23 |
transcript.pyannote[2611].start |
11562.73034375 |
transcript.pyannote[2611].end |
11572.66971875 |
transcript.pyannote[2612].speaker |
SPEAKER_23 |
transcript.pyannote[2612].start |
11573.09159375 |
transcript.pyannote[2612].end |
11576.56784375 |
transcript.pyannote[2613].speaker |
SPEAKER_23 |
transcript.pyannote[2613].start |
11576.95596875 |
transcript.pyannote[2613].end |
11595.51846875 |
transcript.pyannote[2614].speaker |
SPEAKER_11 |
transcript.pyannote[2614].start |
11586.49034375 |
transcript.pyannote[2614].end |
11586.96284375 |
transcript.pyannote[2615].speaker |
SPEAKER_11 |
transcript.pyannote[2615].start |
11588.75159375 |
transcript.pyannote[2615].end |
11589.03846875 |
transcript.pyannote[2616].speaker |
SPEAKER_15 |
transcript.pyannote[2616].start |
11589.03846875 |
transcript.pyannote[2616].end |
11589.05534375 |
transcript.pyannote[2617].speaker |
SPEAKER_15 |
transcript.pyannote[2617].start |
11590.75971875 |
transcript.pyannote[2617].end |
11590.87784375 |
transcript.pyannote[2618].speaker |
SPEAKER_14 |
transcript.pyannote[2618].start |
11590.87784375 |
transcript.pyannote[2618].end |
11590.96221875 |
transcript.pyannote[2619].speaker |
SPEAKER_15 |
transcript.pyannote[2619].start |
11595.51846875 |
transcript.pyannote[2619].end |
11595.94034375 |
transcript.pyannote[2620].speaker |
SPEAKER_23 |
transcript.pyannote[2620].start |
11595.87284375 |
transcript.pyannote[2620].end |
11605.71096875 |
transcript.pyannote[2621].speaker |
SPEAKER_15 |
transcript.pyannote[2621].start |
11597.25659375 |
transcript.pyannote[2621].end |
11598.15096875 |
transcript.pyannote[2622].speaker |
SPEAKER_15 |
transcript.pyannote[2622].start |
11598.65721875 |
transcript.pyannote[2622].end |
11598.94409375 |
transcript.pyannote[2623].speaker |
SPEAKER_14 |
transcript.pyannote[2623].start |
11598.94409375 |
transcript.pyannote[2623].end |
11598.96096875 |
transcript.pyannote[2624].speaker |
SPEAKER_14 |
transcript.pyannote[2624].start |
11603.29784375 |
transcript.pyannote[2624].end |
11603.60159375 |
transcript.pyannote[2625].speaker |
SPEAKER_14 |
transcript.pyannote[2625].start |
11605.71096875 |
transcript.pyannote[2625].end |
11606.40284375 |
transcript.pyannote[2626].speaker |
SPEAKER_23 |
transcript.pyannote[2626].start |
11606.33534375 |
transcript.pyannote[2626].end |
11610.70596875 |
transcript.pyannote[2627].speaker |
SPEAKER_23 |
transcript.pyannote[2627].start |
11610.95909375 |
transcript.pyannote[2627].end |
11613.30471875 |
transcript.pyannote[2628].speaker |
SPEAKER_11 |
transcript.pyannote[2628].start |
11613.30471875 |
transcript.pyannote[2628].end |
11613.52409375 |
transcript.pyannote[2629].speaker |
SPEAKER_23 |
transcript.pyannote[2629].start |
11613.52409375 |
transcript.pyannote[2629].end |
11613.57471875 |
transcript.pyannote[2630].speaker |
SPEAKER_23 |
transcript.pyannote[2630].start |
11613.60846875 |
transcript.pyannote[2630].end |
11614.30034375 |
transcript.pyannote[2631].speaker |
SPEAKER_23 |
transcript.pyannote[2631].start |
11614.67159375 |
transcript.pyannote[2631].end |
11618.56971875 |
transcript.pyannote[2632].speaker |
SPEAKER_11 |
transcript.pyannote[2632].start |
11616.40971875 |
transcript.pyannote[2632].end |
11628.67784375 |
transcript.pyannote[2633].speaker |
SPEAKER_23 |
transcript.pyannote[2633].start |
11618.87346875 |
transcript.pyannote[2633].end |
11618.95784375 |
transcript.pyannote[2634].speaker |
SPEAKER_23 |
transcript.pyannote[2634].start |
11620.51034375 |
transcript.pyannote[2634].end |
11621.69159375 |
transcript.pyannote[2635].speaker |
SPEAKER_23 |
transcript.pyannote[2635].start |
11621.96159375 |
transcript.pyannote[2635].end |
11622.14721875 |
transcript.pyannote[2636].speaker |
SPEAKER_23 |
transcript.pyannote[2636].start |
11628.39096875 |
transcript.pyannote[2636].end |
11654.47971875 |
transcript.pyannote[2637].speaker |
SPEAKER_15 |
transcript.pyannote[2637].start |
11654.47971875 |
transcript.pyannote[2637].end |
11654.80034375 |
transcript.pyannote[2638].speaker |
SPEAKER_23 |
transcript.pyannote[2638].start |
11654.80034375 |
transcript.pyannote[2638].end |
11667.27096875 |
transcript.pyannote[2639].speaker |
SPEAKER_11 |
transcript.pyannote[2639].start |
11661.73596875 |
transcript.pyannote[2639].end |
11661.98909375 |
transcript.pyannote[2640].speaker |
SPEAKER_11 |
transcript.pyannote[2640].start |
11664.04784375 |
transcript.pyannote[2640].end |
11677.61534375 |
transcript.pyannote[2641].speaker |
SPEAKER_14 |
transcript.pyannote[2641].start |
11673.53159375 |
transcript.pyannote[2641].end |
11674.67909375 |
transcript.pyannote[2642].speaker |
SPEAKER_14 |
transcript.pyannote[2642].start |
11675.21909375 |
transcript.pyannote[2642].end |
11676.19784375 |
transcript.pyannote[2643].speaker |
SPEAKER_14 |
transcript.pyannote[2643].start |
11676.82221875 |
transcript.pyannote[2643].end |
11678.08784375 |
transcript.pyannote[2644].speaker |
SPEAKER_11 |
transcript.pyannote[2644].start |
11678.08784375 |
transcript.pyannote[2644].end |
11682.45846875 |
transcript.pyannote[2645].speaker |
SPEAKER_14 |
transcript.pyannote[2645].start |
11679.55596875 |
transcript.pyannote[2645].end |
11679.57284375 |
transcript.pyannote[2646].speaker |
SPEAKER_15 |
transcript.pyannote[2646].start |
11679.57284375 |
transcript.pyannote[2646].end |
11679.94409375 |
transcript.pyannote[2647].speaker |
SPEAKER_15 |
transcript.pyannote[2647].start |
11681.12534375 |
transcript.pyannote[2647].end |
11683.23471875 |
transcript.pyannote[2648].speaker |
SPEAKER_11 |
transcript.pyannote[2648].start |
11683.23471875 |
transcript.pyannote[2648].end |
11687.52096875 |
transcript.pyannote[2649].speaker |
SPEAKER_11 |
transcript.pyannote[2649].start |
11687.87534375 |
transcript.pyannote[2649].end |
11691.60471875 |
transcript.pyannote[2650].speaker |
SPEAKER_15 |
transcript.pyannote[2650].start |
11691.25034375 |
transcript.pyannote[2650].end |
11691.38534375 |
transcript.pyannote[2651].speaker |
SPEAKER_11 |
transcript.pyannote[2651].start |
11691.67221875 |
transcript.pyannote[2651].end |
11697.57846875 |
transcript.pyannote[2652].speaker |
SPEAKER_23 |
transcript.pyannote[2652].start |
11698.45596875 |
transcript.pyannote[2652].end |
11705.37471875 |
transcript.pyannote[2653].speaker |
SPEAKER_23 |
transcript.pyannote[2653].start |
11705.77971875 |
transcript.pyannote[2653].end |
11709.32346875 |
transcript.pyannote[2654].speaker |
SPEAKER_11 |
transcript.pyannote[2654].start |
11708.64846875 |
transcript.pyannote[2654].end |
11710.97721875 |
transcript.pyannote[2655].speaker |
SPEAKER_23 |
transcript.pyannote[2655].start |
11710.80846875 |
transcript.pyannote[2655].end |
11721.47346875 |
transcript.pyannote[2656].speaker |
SPEAKER_11 |
transcript.pyannote[2656].start |
11718.63846875 |
transcript.pyannote[2656].end |
11718.97596875 |
transcript.pyannote[2657].speaker |
SPEAKER_11 |
transcript.pyannote[2657].start |
11721.08534375 |
transcript.pyannote[2657].end |
11723.07659375 |
transcript.pyannote[2658].speaker |
SPEAKER_23 |
transcript.pyannote[2658].start |
11722.87409375 |
transcript.pyannote[2658].end |
11726.73846875 |
transcript.pyannote[2659].speaker |
SPEAKER_11 |
transcript.pyannote[2659].start |
11725.05096875 |
transcript.pyannote[2659].end |
11728.64534375 |
transcript.pyannote[2660].speaker |
SPEAKER_23 |
transcript.pyannote[2660].start |
11728.49346875 |
transcript.pyannote[2660].end |
11731.19346875 |
transcript.pyannote[2661].speaker |
SPEAKER_11 |
transcript.pyannote[2661].start |
11731.19346875 |
transcript.pyannote[2661].end |
11744.96346875 |
transcript.pyannote[2662].speaker |
SPEAKER_23 |
transcript.pyannote[2662].start |
11731.42971875 |
transcript.pyannote[2662].end |
11736.49221875 |
transcript.pyannote[2663].speaker |
SPEAKER_23 |
transcript.pyannote[2663].start |
11744.96346875 |
transcript.pyannote[2663].end |
11745.01409375 |
transcript.pyannote[2664].speaker |
SPEAKER_11 |
transcript.pyannote[2664].start |
11745.01409375 |
transcript.pyannote[2664].end |
11747.14034375 |
transcript.pyannote[2665].speaker |
SPEAKER_23 |
transcript.pyannote[2665].start |
11745.08159375 |
transcript.pyannote[2665].end |
11748.70971875 |
transcript.pyannote[2666].speaker |
SPEAKER_11 |
transcript.pyannote[2666].start |
11747.62971875 |
transcript.pyannote[2666].end |
11751.69659375 |
transcript.pyannote[2667].speaker |
SPEAKER_23 |
transcript.pyannote[2667].start |
11750.39721875 |
transcript.pyannote[2667].end |
11752.52346875 |
transcript.pyannote[2668].speaker |
SPEAKER_11 |
transcript.pyannote[2668].start |
11752.57409375 |
transcript.pyannote[2668].end |
11754.68346875 |
transcript.pyannote[2669].speaker |
SPEAKER_23 |
transcript.pyannote[2669].start |
11753.13096875 |
transcript.pyannote[2669].end |
11755.54409375 |
transcript.pyannote[2670].speaker |
SPEAKER_11 |
transcript.pyannote[2670].start |
11755.03784375 |
transcript.pyannote[2670].end |
11758.14284375 |
transcript.pyannote[2671].speaker |
SPEAKER_23 |
transcript.pyannote[2671].start |
11756.38784375 |
transcript.pyannote[2671].end |
11757.02909375 |
transcript.pyannote[2672].speaker |
SPEAKER_20 |
transcript.pyannote[2672].start |
11757.02909375 |
transcript.pyannote[2672].end |
11758.04159375 |
transcript.pyannote[2673].speaker |
SPEAKER_23 |
transcript.pyannote[2673].start |
11758.48034375 |
transcript.pyannote[2673].end |
11758.49721875 |
transcript.pyannote[2674].speaker |
SPEAKER_20 |
transcript.pyannote[2674].start |
11758.49721875 |
transcript.pyannote[2674].end |
11761.06221875 |
transcript.pyannote[2675].speaker |
SPEAKER_20 |
transcript.pyannote[2675].start |
11762.69909375 |
transcript.pyannote[2675].end |
11764.52159375 |
transcript.pyannote[2676].speaker |
SPEAKER_20 |
transcript.pyannote[2676].start |
11766.19221875 |
transcript.pyannote[2676].end |
11771.08596875 |
transcript.pyannote[2677].speaker |
SPEAKER_15 |
transcript.pyannote[2677].start |
11766.34409375 |
transcript.pyannote[2677].end |
11766.68159375 |
transcript.pyannote[2678].speaker |
SPEAKER_20 |
transcript.pyannote[2678].start |
11771.25471875 |
transcript.pyannote[2678].end |
11773.14471875 |
transcript.pyannote[2679].speaker |
SPEAKER_19 |
transcript.pyannote[2679].start |
11777.21159375 |
transcript.pyannote[2679].end |
11778.64596875 |
transcript.pyannote[2680].speaker |
SPEAKER_19 |
transcript.pyannote[2680].start |
11779.06784375 |
transcript.pyannote[2680].end |
11779.79346875 |
transcript.pyannote[2681].speaker |
SPEAKER_19 |
transcript.pyannote[2681].start |
11780.02971875 |
transcript.pyannote[2681].end |
11780.16471875 |
transcript.pyannote[2682].speaker |
SPEAKER_19 |
transcript.pyannote[2682].start |
11780.77221875 |
transcript.pyannote[2682].end |
11780.78909375 |
transcript.pyannote[2683].speaker |
SPEAKER_20 |
transcript.pyannote[2683].start |
11780.78909375 |
transcript.pyannote[2683].end |
11780.99159375 |
transcript.pyannote[2684].speaker |
SPEAKER_19 |
transcript.pyannote[2684].start |
11780.99159375 |
transcript.pyannote[2684].end |
11781.02534375 |
transcript.pyannote[2685].speaker |
SPEAKER_20 |
transcript.pyannote[2685].start |
11781.02534375 |
transcript.pyannote[2685].end |
11781.34596875 |
transcript.pyannote[2686].speaker |
SPEAKER_19 |
transcript.pyannote[2686].start |
11781.34596875 |
transcript.pyannote[2686].end |
11781.49784375 |
transcript.pyannote[2687].speaker |
SPEAKER_20 |
transcript.pyannote[2687].start |
11781.49784375 |
transcript.pyannote[2687].end |
11781.51471875 |
transcript.pyannote[2688].speaker |
SPEAKER_19 |
transcript.pyannote[2688].start |
11786.20596875 |
transcript.pyannote[2688].end |
11814.40409375 |
transcript.pyannote[2689].speaker |
SPEAKER_20 |
transcript.pyannote[2689].start |
11786.54346875 |
transcript.pyannote[2689].end |
11786.56034375 |
transcript.pyannote[2690].speaker |
SPEAKER_23 |
transcript.pyannote[2690].start |
11786.56034375 |
transcript.pyannote[2690].end |
11786.61096875 |
transcript.pyannote[2691].speaker |
SPEAKER_20 |
transcript.pyannote[2691].start |
11786.61096875 |
transcript.pyannote[2691].end |
11786.84721875 |
transcript.pyannote[2692].speaker |
SPEAKER_23 |
transcript.pyannote[2692].start |
11786.84721875 |
transcript.pyannote[2692].end |
11789.81721875 |
transcript.pyannote[2693].speaker |
SPEAKER_23 |
transcript.pyannote[2693].start |
11791.47096875 |
transcript.pyannote[2693].end |
11793.17534375 |
transcript.pyannote[2694].speaker |
SPEAKER_23 |
transcript.pyannote[2694].start |
11795.74034375 |
transcript.pyannote[2694].end |
11798.96346875 |
transcript.pyannote[2695].speaker |
SPEAKER_14 |
transcript.pyannote[2695].start |
11798.96346875 |
transcript.pyannote[2695].end |
11799.35159375 |
transcript.pyannote[2696].speaker |
SPEAKER_20 |
transcript.pyannote[2696].start |
11803.13159375 |
transcript.pyannote[2696].end |
11803.14846875 |
transcript.pyannote[2697].speaker |
SPEAKER_01 |
transcript.pyannote[2697].start |
11803.14846875 |
transcript.pyannote[2697].end |
11803.16534375 |
transcript.pyannote[2698].speaker |
SPEAKER_14 |
transcript.pyannote[2698].start |
11803.16534375 |
transcript.pyannote[2698].end |
11803.21596875 |
transcript.pyannote[2699].speaker |
SPEAKER_01 |
transcript.pyannote[2699].start |
11803.21596875 |
transcript.pyannote[2699].end |
11803.23284375 |
transcript.pyannote[2700].speaker |
SPEAKER_14 |
transcript.pyannote[2700].start |
11810.74221875 |
transcript.pyannote[2700].end |
11810.99534375 |
transcript.pyannote[2701].speaker |
SPEAKER_14 |
transcript.pyannote[2701].start |
11813.54346875 |
transcript.pyannote[2701].end |
11813.79659375 |
transcript.pyannote[2702].speaker |
SPEAKER_19 |
transcript.pyannote[2702].start |
11814.48846875 |
transcript.pyannote[2702].end |
11824.76534375 |
transcript.pyannote[2703].speaker |
SPEAKER_00 |
transcript.pyannote[2703].start |
11818.62284375 |
transcript.pyannote[2703].end |
11818.97721875 |
transcript.pyannote[2704].speaker |
SPEAKER_01 |
transcript.pyannote[2704].start |
11822.38596875 |
transcript.pyannote[2704].end |
11822.55471875 |
transcript.pyannote[2705].speaker |
SPEAKER_19 |
transcript.pyannote[2705].start |
11826.26721875 |
transcript.pyannote[2705].end |
11836.08846875 |
transcript.pyannote[2706].speaker |
SPEAKER_19 |
transcript.pyannote[2706].start |
11836.62846875 |
transcript.pyannote[2706].end |
11838.33284375 |
transcript.pyannote[2707].speaker |
SPEAKER_19 |
transcript.pyannote[2707].start |
11838.67034375 |
transcript.pyannote[2707].end |
11840.96534375 |
transcript.pyannote[2708].speaker |
SPEAKER_19 |
transcript.pyannote[2708].start |
11841.25221875 |
transcript.pyannote[2708].end |
11842.88909375 |
transcript.pyannote[2709].speaker |
SPEAKER_19 |
transcript.pyannote[2709].start |
11843.53034375 |
transcript.pyannote[2709].end |
11846.12909375 |
transcript.pyannote[2710].speaker |
SPEAKER_19 |
transcript.pyannote[2710].start |
11846.29784375 |
transcript.pyannote[2710].end |
11847.04034375 |
transcript.pyannote[2711].speaker |
SPEAKER_19 |
transcript.pyannote[2711].start |
11847.51284375 |
transcript.pyannote[2711].end |
11850.60096875 |
transcript.pyannote[2712].speaker |
SPEAKER_19 |
transcript.pyannote[2712].start |
11850.71909375 |
transcript.pyannote[2712].end |
11863.45971875 |
transcript.pyannote[2713].speaker |
SPEAKER_19 |
transcript.pyannote[2713].start |
11863.74659375 |
transcript.pyannote[2713].end |
11864.74221875 |
transcript.pyannote[2714].speaker |
SPEAKER_19 |
transcript.pyannote[2714].start |
11865.14721875 |
transcript.pyannote[2714].end |
11867.07096875 |
transcript.pyannote[2715].speaker |
SPEAKER_19 |
transcript.pyannote[2715].start |
11867.62784375 |
transcript.pyannote[2715].end |
11868.04971875 |
transcript.pyannote[2716].speaker |
SPEAKER_19 |
transcript.pyannote[2716].start |
11868.79221875 |
transcript.pyannote[2716].end |
11877.95534375 |
transcript.pyannote[2717].speaker |
SPEAKER_15 |
transcript.pyannote[2717].start |
11871.94784375 |
transcript.pyannote[2717].end |
11872.06596875 |
transcript.pyannote[2718].speaker |
SPEAKER_15 |
transcript.pyannote[2718].start |
11877.95534375 |
transcript.pyannote[2718].end |
11878.34346875 |
transcript.pyannote[2719].speaker |
SPEAKER_19 |
transcript.pyannote[2719].start |
11878.34346875 |
transcript.pyannote[2719].end |
11879.40659375 |
transcript.pyannote[2720].speaker |
SPEAKER_19 |
transcript.pyannote[2720].start |
11879.74409375 |
transcript.pyannote[2720].end |
11880.23346875 |
transcript.pyannote[2721].speaker |
SPEAKER_19 |
transcript.pyannote[2721].start |
11880.77346875 |
transcript.pyannote[2721].end |
11881.41471875 |
transcript.pyannote[2722].speaker |
SPEAKER_19 |
transcript.pyannote[2722].start |
11882.12346875 |
transcript.pyannote[2722].end |
11893.21034375 |
transcript.pyannote[2723].speaker |
SPEAKER_15 |
transcript.pyannote[2723].start |
11893.29471875 |
transcript.pyannote[2723].end |
11893.69971875 |
transcript.pyannote[2724].speaker |
SPEAKER_19 |
transcript.pyannote[2724].start |
11893.78409375 |
transcript.pyannote[2724].end |
11895.96096875 |
transcript.pyannote[2725].speaker |
SPEAKER_19 |
transcript.pyannote[2725].start |
11896.87221875 |
transcript.pyannote[2725].end |
11898.89721875 |
transcript.pyannote[2726].speaker |
SPEAKER_19 |
transcript.pyannote[2726].start |
11899.55534375 |
transcript.pyannote[2726].end |
11900.33159375 |
transcript.pyannote[2727].speaker |
SPEAKER_19 |
transcript.pyannote[2727].start |
11900.63534375 |
transcript.pyannote[2727].end |
11904.95534375 |
transcript.pyannote[2728].speaker |
SPEAKER_19 |
transcript.pyannote[2728].start |
11905.83284375 |
transcript.pyannote[2728].end |
11913.27471875 |
transcript.pyannote[2729].speaker |
SPEAKER_19 |
transcript.pyannote[2729].start |
11913.91596875 |
transcript.pyannote[2729].end |
11929.06971875 |
transcript.pyannote[2730].speaker |
SPEAKER_23 |
transcript.pyannote[2730].start |
11927.53409375 |
transcript.pyannote[2730].end |
11927.56784375 |
transcript.pyannote[2731].speaker |
SPEAKER_23 |
transcript.pyannote[2731].start |
11927.60159375 |
transcript.pyannote[2731].end |
11927.61846875 |
transcript.pyannote[2732].speaker |
SPEAKER_23 |
transcript.pyannote[2732].start |
11927.63534375 |
transcript.pyannote[2732].end |
11927.65221875 |
transcript.pyannote[2733].speaker |
SPEAKER_23 |
transcript.pyannote[2733].start |
11928.66471875 |
transcript.pyannote[2733].end |
11928.85034375 |
transcript.pyannote[2734].speaker |
SPEAKER_23 |
transcript.pyannote[2734].start |
11928.86721875 |
transcript.pyannote[2734].end |
11947.42971875 |
transcript.pyannote[2735].speaker |
SPEAKER_23 |
transcript.pyannote[2735].start |
11948.18909375 |
transcript.pyannote[2735].end |
11952.49221875 |
transcript.pyannote[2736].speaker |
SPEAKER_19 |
transcript.pyannote[2736].start |
11949.38721875 |
transcript.pyannote[2736].end |
11950.11284375 |
transcript.pyannote[2737].speaker |
SPEAKER_23 |
transcript.pyannote[2737].start |
11952.59346875 |
transcript.pyannote[2737].end |
11956.35659375 |
transcript.pyannote[2738].speaker |
SPEAKER_19 |
transcript.pyannote[2738].start |
11952.91409375 |
transcript.pyannote[2738].end |
11953.60596875 |
transcript.pyannote[2739].speaker |
SPEAKER_19 |
transcript.pyannote[2739].start |
11956.69409375 |
transcript.pyannote[2739].end |
11958.04409375 |
transcript.pyannote[2740].speaker |
SPEAKER_23 |
transcript.pyannote[2740].start |
11956.86284375 |
transcript.pyannote[2740].end |
11957.06534375 |
transcript.pyannote[2741].speaker |
SPEAKER_23 |
transcript.pyannote[2741].start |
11958.04409375 |
transcript.pyannote[2741].end |
11964.47346875 |
transcript.pyannote[2742].speaker |
SPEAKER_23 |
transcript.pyannote[2742].start |
11964.74346875 |
transcript.pyannote[2742].end |
11967.66284375 |
transcript.pyannote[2743].speaker |
SPEAKER_23 |
transcript.pyannote[2743].start |
11967.96659375 |
transcript.pyannote[2743].end |
12000.40034375 |
transcript.pyannote[2744].speaker |
SPEAKER_15 |
transcript.pyannote[2744].start |
11980.40346875 |
transcript.pyannote[2744].end |
11980.42034375 |
transcript.pyannote[2745].speaker |
SPEAKER_19 |
transcript.pyannote[2745].start |
11980.42034375 |
transcript.pyannote[2745].end |
11980.72409375 |
transcript.pyannote[2746].speaker |
SPEAKER_19 |
transcript.pyannote[2746].start |
11982.68159375 |
transcript.pyannote[2746].end |
11985.16221875 |
transcript.pyannote[2747].speaker |
SPEAKER_23 |
transcript.pyannote[2747].start |
12001.09221875 |
transcript.pyannote[2747].end |
12002.32409375 |
transcript.pyannote[2748].speaker |
SPEAKER_19 |
transcript.pyannote[2748].start |
12002.32409375 |
transcript.pyannote[2748].end |
12002.34096875 |
transcript.pyannote[2749].speaker |
SPEAKER_23 |
transcript.pyannote[2749].start |
12003.04971875 |
transcript.pyannote[2749].end |
12004.02846875 |
transcript.pyannote[2750].speaker |
SPEAKER_19 |
transcript.pyannote[2750].start |
12004.02846875 |
transcript.pyannote[2750].end |
12036.20909375 |
transcript.pyannote[2751].speaker |
SPEAKER_23 |
transcript.pyannote[2751].start |
12017.59596875 |
transcript.pyannote[2751].end |
12018.96284375 |
transcript.pyannote[2752].speaker |
SPEAKER_23 |
transcript.pyannote[2752].start |
12022.70909375 |
transcript.pyannote[2752].end |
12022.87784375 |
transcript.pyannote[2753].speaker |
SPEAKER_00 |
transcript.pyannote[2753].start |
12024.93659375 |
transcript.pyannote[2753].end |
12025.57784375 |
transcript.pyannote[2754].speaker |
SPEAKER_00 |
transcript.pyannote[2754].start |
12026.18534375 |
transcript.pyannote[2754].end |
12026.25284375 |
transcript.pyannote[2755].speaker |
SPEAKER_23 |
transcript.pyannote[2755].start |
12026.25284375 |
transcript.pyannote[2755].end |
12027.78846875 |
transcript.pyannote[2756].speaker |
SPEAKER_00 |
transcript.pyannote[2756].start |
12027.78846875 |
transcript.pyannote[2756].end |
12027.82221875 |
transcript.pyannote[2757].speaker |
SPEAKER_00 |
transcript.pyannote[2757].start |
12028.88534375 |
transcript.pyannote[2757].end |
12028.93596875 |
transcript.pyannote[2758].speaker |
SPEAKER_23 |
transcript.pyannote[2758].start |
12028.93596875 |
transcript.pyannote[2758].end |
12029.17221875 |
transcript.pyannote[2759].speaker |
SPEAKER_00 |
transcript.pyannote[2759].start |
12029.17221875 |
transcript.pyannote[2759].end |
12029.20596875 |
transcript.pyannote[2760].speaker |
SPEAKER_23 |
transcript.pyannote[2760].start |
12034.72409375 |
transcript.pyannote[2760].end |
12036.12471875 |
transcript.pyannote[2761].speaker |
SPEAKER_23 |
transcript.pyannote[2761].start |
12036.20909375 |
transcript.pyannote[2761].end |
12036.52971875 |
transcript.pyannote[2762].speaker |
SPEAKER_19 |
transcript.pyannote[2762].start |
12036.52971875 |
transcript.pyannote[2762].end |
12036.69846875 |
transcript.pyannote[2763].speaker |
SPEAKER_23 |
transcript.pyannote[2763].start |
12036.69846875 |
transcript.pyannote[2763].end |
12036.74909375 |
transcript.pyannote[2764].speaker |
SPEAKER_19 |
transcript.pyannote[2764].start |
12036.74909375 |
transcript.pyannote[2764].end |
12036.76596875 |
transcript.pyannote[2765].speaker |
SPEAKER_23 |
transcript.pyannote[2765].start |
12036.76596875 |
transcript.pyannote[2765].end |
12037.84596875 |
transcript.pyannote[2766].speaker |
SPEAKER_19 |
transcript.pyannote[2766].start |
12036.86721875 |
transcript.pyannote[2766].end |
12051.76784375 |
transcript.pyannote[2767].speaker |
SPEAKER_23 |
transcript.pyannote[2767].start |
12040.30971875 |
transcript.pyannote[2767].end |
12040.83284375 |
transcript.pyannote[2768].speaker |
SPEAKER_23 |
transcript.pyannote[2768].start |
12041.42346875 |
transcript.pyannote[2768].end |
12042.41909375 |
transcript.pyannote[2769].speaker |
SPEAKER_00 |
transcript.pyannote[2769].start |
12046.72221875 |
transcript.pyannote[2769].end |
12046.84034375 |
transcript.pyannote[2770].speaker |
SPEAKER_16 |
transcript.pyannote[2770].start |
12046.84034375 |
transcript.pyannote[2770].end |
12046.99221875 |
transcript.pyannote[2771].speaker |
SPEAKER_19 |
transcript.pyannote[2771].start |
12051.95346875 |
transcript.pyannote[2771].end |
12052.40909375 |
transcript.pyannote[2772].speaker |
SPEAKER_19 |
transcript.pyannote[2772].start |
12052.93221875 |
transcript.pyannote[2772].end |
12056.05409375 |
transcript.pyannote[2773].speaker |
SPEAKER_19 |
transcript.pyannote[2773].start |
12056.22284375 |
transcript.pyannote[2773].end |
12057.13409375 |
transcript.pyannote[2774].speaker |
SPEAKER_19 |
transcript.pyannote[2774].start |
12057.48846875 |
transcript.pyannote[2774].end |
12064.10346875 |
transcript.pyannote[2775].speaker |
SPEAKER_19 |
transcript.pyannote[2775].start |
12064.37346875 |
transcript.pyannote[2775].end |
12065.58846875 |
transcript.pyannote[2776].speaker |
SPEAKER_19 |
transcript.pyannote[2776].start |
12066.70221875 |
transcript.pyannote[2776].end |
12069.77346875 |
transcript.pyannote[2777].speaker |
SPEAKER_19 |
transcript.pyannote[2777].start |
12070.26284375 |
transcript.pyannote[2777].end |
12094.00596875 |
transcript.pyannote[2778].speaker |
SPEAKER_19 |
transcript.pyannote[2778].start |
12094.52909375 |
transcript.pyannote[2778].end |
12094.91721875 |
transcript.pyannote[2779].speaker |
SPEAKER_19 |
transcript.pyannote[2779].start |
12095.32221875 |
transcript.pyannote[2779].end |
12099.50721875 |
transcript.pyannote[2780].speaker |
SPEAKER_00 |
transcript.pyannote[2780].start |
12096.73971875 |
transcript.pyannote[2780].end |
12096.97596875 |
transcript.pyannote[2781].speaker |
SPEAKER_19 |
transcript.pyannote[2781].start |
12100.01346875 |
transcript.pyannote[2781].end |
12102.03846875 |
transcript.pyannote[2782].speaker |
SPEAKER_19 |
transcript.pyannote[2782].start |
12102.39284375 |
transcript.pyannote[2782].end |
12104.67096875 |
transcript.pyannote[2783].speaker |
SPEAKER_19 |
transcript.pyannote[2783].start |
12105.14346875 |
transcript.pyannote[2783].end |
12107.91096875 |
transcript.pyannote[2784].speaker |
SPEAKER_19 |
transcript.pyannote[2784].start |
12108.48471875 |
transcript.pyannote[2784].end |
12109.58159375 |
transcript.pyannote[2785].speaker |
SPEAKER_19 |
transcript.pyannote[2785].start |
12110.52659375 |
transcript.pyannote[2785].end |
12115.97721875 |
transcript.pyannote[2786].speaker |
SPEAKER_23 |
transcript.pyannote[2786].start |
12115.97721875 |
transcript.pyannote[2786].end |
12118.77846875 |
transcript.pyannote[2787].speaker |
SPEAKER_23 |
transcript.pyannote[2787].start |
12119.25096875 |
transcript.pyannote[2787].end |
12121.78221875 |
transcript.pyannote[2788].speaker |
SPEAKER_23 |
transcript.pyannote[2788].start |
12122.28846875 |
transcript.pyannote[2788].end |
12124.88721875 |
transcript.pyannote[2789].speaker |
SPEAKER_23 |
transcript.pyannote[2789].start |
12125.95034375 |
transcript.pyannote[2789].end |
12151.97159375 |
transcript.pyannote[2790].speaker |
SPEAKER_23 |
transcript.pyannote[2790].start |
12152.44409375 |
transcript.pyannote[2790].end |
12153.50721875 |
transcript.pyannote[2791].speaker |
SPEAKER_23 |
transcript.pyannote[2791].start |
12153.84471875 |
transcript.pyannote[2791].end |
12159.54846875 |
transcript.pyannote[2792].speaker |
SPEAKER_23 |
transcript.pyannote[2792].start |
12159.80159375 |
transcript.pyannote[2792].end |
12173.92596875 |
transcript.pyannote[2793].speaker |
SPEAKER_19 |
transcript.pyannote[2793].start |
12173.92596875 |
transcript.pyannote[2793].end |
12207.15284375 |
transcript.pyannote[2794].speaker |
SPEAKER_23 |
transcript.pyannote[2794].start |
12173.94284375 |
transcript.pyannote[2794].end |
12174.58409375 |
transcript.pyannote[2795].speaker |
SPEAKER_23 |
transcript.pyannote[2795].start |
12176.15346875 |
transcript.pyannote[2795].end |
12177.33471875 |
transcript.pyannote[2796].speaker |
SPEAKER_23 |
transcript.pyannote[2796].start |
12179.15721875 |
transcript.pyannote[2796].end |
12180.30471875 |
transcript.pyannote[2797].speaker |
SPEAKER_14 |
transcript.pyannote[2797].start |
12185.94096875 |
transcript.pyannote[2797].end |
12186.26159375 |
transcript.pyannote[2798].speaker |
SPEAKER_23 |
transcript.pyannote[2798].start |
12207.15284375 |
transcript.pyannote[2798].end |
12233.22471875 |
transcript.pyannote[2799].speaker |
SPEAKER_19 |
transcript.pyannote[2799].start |
12207.16971875 |
transcript.pyannote[2799].end |
12210.15659375 |
transcript.pyannote[2800].speaker |
SPEAKER_23 |
transcript.pyannote[2800].start |
12234.16971875 |
transcript.pyannote[2800].end |
12236.49846875 |
transcript.pyannote[2801].speaker |
SPEAKER_23 |
transcript.pyannote[2801].start |
12236.80221875 |
transcript.pyannote[2801].end |
12239.67096875 |
transcript.pyannote[2802].speaker |
SPEAKER_23 |
transcript.pyannote[2802].start |
12240.81846875 |
transcript.pyannote[2802].end |
12254.23409375 |
transcript.pyannote[2803].speaker |
SPEAKER_19 |
transcript.pyannote[2803].start |
12242.28659375 |
transcript.pyannote[2803].end |
12246.74159375 |
transcript.pyannote[2804].speaker |
SPEAKER_19 |
transcript.pyannote[2804].start |
12250.09971875 |
transcript.pyannote[2804].end |
12250.53846875 |
transcript.pyannote[2805].speaker |
SPEAKER_19 |
transcript.pyannote[2805].start |
12253.55909375 |
transcript.pyannote[2805].end |
12258.40221875 |
transcript.pyannote[2806].speaker |
SPEAKER_23 |
transcript.pyannote[2806].start |
12255.04409375 |
transcript.pyannote[2806].end |
12256.07346875 |
transcript.pyannote[2807].speaker |
SPEAKER_19 |
transcript.pyannote[2807].start |
12259.07721875 |
transcript.pyannote[2807].end |
12266.99159375 |
transcript.pyannote[2808].speaker |
SPEAKER_14 |
transcript.pyannote[2808].start |
12265.03409375 |
transcript.pyannote[2808].end |
12265.30409375 |
transcript.pyannote[2809].speaker |
SPEAKER_14 |
transcript.pyannote[2809].start |
12266.99159375 |
transcript.pyannote[2809].end |
12267.54846875 |
transcript.pyannote[2810].speaker |
SPEAKER_19 |
transcript.pyannote[2810].start |
12267.48096875 |
transcript.pyannote[2810].end |
12269.48909375 |
transcript.pyannote[2811].speaker |
SPEAKER_19 |
transcript.pyannote[2811].start |
12270.13034375 |
transcript.pyannote[2811].end |
12279.86721875 |
transcript.pyannote[2812].speaker |
SPEAKER_19 |
transcript.pyannote[2812].start |
12280.00221875 |
transcript.pyannote[2812].end |
12280.05284375 |
transcript.pyannote[2813].speaker |
SPEAKER_19 |
transcript.pyannote[2813].start |
12280.06971875 |
transcript.pyannote[2813].end |
12280.66034375 |
transcript.pyannote[2814].speaker |
SPEAKER_19 |
transcript.pyannote[2814].start |
12282.04409375 |
transcript.pyannote[2814].end |
12298.78409375 |
transcript.pyannote[2815].speaker |
SPEAKER_15 |
transcript.pyannote[2815].start |
12284.77784375 |
transcript.pyannote[2815].end |
12284.96346875 |
transcript.pyannote[2816].speaker |
SPEAKER_14 |
transcript.pyannote[2816].start |
12288.47346875 |
transcript.pyannote[2816].end |
12289.38471875 |
transcript.pyannote[2817].speaker |
SPEAKER_00 |
transcript.pyannote[2817].start |
12289.38471875 |
transcript.pyannote[2817].end |
12289.40159375 |
transcript.pyannote[2818].speaker |
SPEAKER_00 |
transcript.pyannote[2818].start |
12295.35846875 |
transcript.pyannote[2818].end |
12295.47659375 |
transcript.pyannote[2819].speaker |
SPEAKER_22 |
transcript.pyannote[2819].start |
12295.47659375 |
transcript.pyannote[2819].end |
12295.59471875 |
transcript.pyannote[2820].speaker |
SPEAKER_00 |
transcript.pyannote[2820].start |
12295.59471875 |
transcript.pyannote[2820].end |
12295.61159375 |
transcript.pyannote[2821].speaker |
SPEAKER_19 |
transcript.pyannote[2821].start |
12299.77971875 |
transcript.pyannote[2821].end |
12315.23721875 |
transcript.pyannote[2822].speaker |
SPEAKER_19 |
transcript.pyannote[2822].start |
12315.49034375 |
transcript.pyannote[2822].end |
12340.60034375 |
transcript.pyannote[2823].speaker |
SPEAKER_00 |
transcript.pyannote[2823].start |
12326.29034375 |
transcript.pyannote[2823].end |
12326.50971875 |
transcript.pyannote[2824].speaker |
SPEAKER_14 |
transcript.pyannote[2824].start |
12326.50971875 |
transcript.pyannote[2824].end |
12326.54346875 |
transcript.pyannote[2825].speaker |
SPEAKER_00 |
transcript.pyannote[2825].start |
12326.54346875 |
transcript.pyannote[2825].end |
12326.61096875 |
transcript.pyannote[2826].speaker |
SPEAKER_14 |
transcript.pyannote[2826].start |
12339.38534375 |
transcript.pyannote[2826].end |
12339.40221875 |
transcript.pyannote[2827].speaker |
SPEAKER_22 |
transcript.pyannote[2827].start |
12339.40221875 |
transcript.pyannote[2827].end |
12339.70596875 |
transcript.pyannote[2828].speaker |
SPEAKER_19 |
transcript.pyannote[2828].start |
12341.12346875 |
transcript.pyannote[2828].end |
12341.71409375 |
transcript.pyannote[2829].speaker |
SPEAKER_19 |
transcript.pyannote[2829].start |
12341.83221875 |
transcript.pyannote[2829].end |
12342.23721875 |
transcript.pyannote[2830].speaker |
SPEAKER_19 |
transcript.pyannote[2830].start |
12342.28784375 |
transcript.pyannote[2830].end |
12353.35784375 |
transcript.pyannote[2831].speaker |
SPEAKER_19 |
transcript.pyannote[2831].start |
12353.91471875 |
transcript.pyannote[2831].end |
12373.11846875 |
transcript.pyannote[2832].speaker |
SPEAKER_15 |
transcript.pyannote[2832].start |
12373.11846875 |
transcript.pyannote[2832].end |
12373.52346875 |
transcript.pyannote[2833].speaker |
SPEAKER_19 |
transcript.pyannote[2833].start |
12373.47284375 |
transcript.pyannote[2833].end |
12374.43471875 |
transcript.pyannote[2834].speaker |
SPEAKER_19 |
transcript.pyannote[2834].start |
12374.95784375 |
transcript.pyannote[2834].end |
12380.61096875 |
transcript.pyannote[2835].speaker |
SPEAKER_15 |
transcript.pyannote[2835].start |
12380.61096875 |
transcript.pyannote[2835].end |
12380.71221875 |
transcript.pyannote[2836].speaker |
SPEAKER_19 |
transcript.pyannote[2836].start |
12380.71221875 |
transcript.pyannote[2836].end |
12392.62596875 |
transcript.pyannote[2837].speaker |
SPEAKER_19 |
transcript.pyannote[2837].start |
12392.71034375 |
transcript.pyannote[2837].end |
12392.72721875 |
transcript.pyannote[2838].speaker |
SPEAKER_14 |
transcript.pyannote[2838].start |
12392.72721875 |
transcript.pyannote[2838].end |
12393.08159375 |
transcript.pyannote[2839].speaker |
SPEAKER_19 |
transcript.pyannote[2839].start |
12392.92971875 |
transcript.pyannote[2839].end |
12417.36471875 |
transcript.pyannote[2840].speaker |
SPEAKER_19 |
transcript.pyannote[2840].start |
12417.76971875 |
transcript.pyannote[2840].end |
12445.96784375 |
transcript.pyannote[2841].speaker |
SPEAKER_14 |
transcript.pyannote[2841].start |
12422.57909375 |
transcript.pyannote[2841].end |
12422.62971875 |
transcript.pyannote[2842].speaker |
SPEAKER_23 |
transcript.pyannote[2842].start |
12426.83159375 |
transcript.pyannote[2842].end |
12427.60784375 |
transcript.pyannote[2843].speaker |
SPEAKER_14 |
transcript.pyannote[2843].start |
12427.60784375 |
transcript.pyannote[2843].end |
12427.64159375 |
transcript.pyannote[2844].speaker |
SPEAKER_23 |
transcript.pyannote[2844].start |
12427.64159375 |
transcript.pyannote[2844].end |
12427.65846875 |
transcript.pyannote[2845].speaker |
SPEAKER_15 |
transcript.pyannote[2845].start |
12427.65846875 |
transcript.pyannote[2845].end |
12427.67534375 |
transcript.pyannote[2846].speaker |
SPEAKER_20 |
transcript.pyannote[2846].start |
12441.59721875 |
transcript.pyannote[2846].end |
12441.69846875 |
transcript.pyannote[2847].speaker |
SPEAKER_23 |
transcript.pyannote[2847].start |
12441.69846875 |
transcript.pyannote[2847].end |
12441.85034375 |
transcript.pyannote[2848].speaker |
SPEAKER_20 |
transcript.pyannote[2848].start |
12441.85034375 |
transcript.pyannote[2848].end |
12442.03596875 |
transcript.pyannote[2849].speaker |
SPEAKER_23 |
transcript.pyannote[2849].start |
12442.03596875 |
transcript.pyannote[2849].end |
12442.06971875 |
transcript.pyannote[2850].speaker |
SPEAKER_20 |
transcript.pyannote[2850].start |
12442.06971875 |
transcript.pyannote[2850].end |
12442.08659375 |
transcript.pyannote[2851].speaker |
SPEAKER_23 |
transcript.pyannote[2851].start |
12442.08659375 |
transcript.pyannote[2851].end |
12442.39034375 |
transcript.pyannote[2852].speaker |
SPEAKER_20 |
transcript.pyannote[2852].start |
12442.39034375 |
transcript.pyannote[2852].end |
12442.47471875 |
transcript.pyannote[2853].speaker |
SPEAKER_20 |
transcript.pyannote[2853].start |
12443.18346875 |
transcript.pyannote[2853].end |
12443.65596875 |
transcript.pyannote[2854].speaker |
SPEAKER_23 |
transcript.pyannote[2854].start |
12443.65596875 |
transcript.pyannote[2854].end |
12443.68971875 |
transcript.pyannote[2855].speaker |
SPEAKER_20 |
transcript.pyannote[2855].start |
12443.68971875 |
transcript.pyannote[2855].end |
12446.01846875 |
transcript.pyannote[2856].speaker |
SPEAKER_19 |
transcript.pyannote[2856].start |
12446.01846875 |
transcript.pyannote[2856].end |
12446.25471875 |
transcript.pyannote[2857].speaker |
SPEAKER_20 |
transcript.pyannote[2857].start |
12446.25471875 |
transcript.pyannote[2857].end |
12448.87034375 |
transcript.pyannote[2858].speaker |
SPEAKER_19 |
transcript.pyannote[2858].start |
12446.42346875 |
transcript.pyannote[2858].end |
12448.21221875 |
transcript.pyannote[2859].speaker |
SPEAKER_20 |
transcript.pyannote[2859].start |
12448.98846875 |
transcript.pyannote[2859].end |
12449.03909375 |
transcript.pyannote[2860].speaker |
SPEAKER_20 |
transcript.pyannote[2860].start |
12449.05596875 |
transcript.pyannote[2860].end |
12449.88284375 |
transcript.pyannote[2861].speaker |
SPEAKER_20 |
transcript.pyannote[2861].start |
12450.27096875 |
transcript.pyannote[2861].end |
12451.65471875 |
transcript.pyannote[2862].speaker |
SPEAKER_02 |
transcript.pyannote[2862].start |
12460.44659375 |
transcript.pyannote[2862].end |
12464.41221875 |
transcript.pyannote[2863].speaker |
SPEAKER_20 |
transcript.pyannote[2863].start |
12463.28159375 |
transcript.pyannote[2863].end |
12463.97346875 |
transcript.pyannote[2864].speaker |
SPEAKER_23 |
transcript.pyannote[2864].start |
12468.61409375 |
transcript.pyannote[2864].end |
12469.57596875 |
transcript.pyannote[2865].speaker |
SPEAKER_02 |
transcript.pyannote[2865].start |
12469.60971875 |
transcript.pyannote[2865].end |
12470.48721875 |
transcript.pyannote[2866].speaker |
SPEAKER_02 |
transcript.pyannote[2866].start |
12470.55471875 |
transcript.pyannote[2866].end |
12474.01409375 |
transcript.pyannote[2867].speaker |
SPEAKER_02 |
transcript.pyannote[2867].start |
12474.60471875 |
transcript.pyannote[2867].end |
12476.24159375 |
transcript.pyannote[2868].speaker |
SPEAKER_14 |
transcript.pyannote[2868].start |
12476.20784375 |
transcript.pyannote[2868].end |
12476.22471875 |
transcript.pyannote[2869].speaker |
SPEAKER_14 |
transcript.pyannote[2869].start |
12476.24159375 |
transcript.pyannote[2869].end |
12476.42721875 |
transcript.pyannote[2870].speaker |
SPEAKER_02 |
transcript.pyannote[2870].start |
12476.42721875 |
transcript.pyannote[2870].end |
12482.46846875 |
transcript.pyannote[2871].speaker |
SPEAKER_02 |
transcript.pyannote[2871].start |
12482.89034375 |
transcript.pyannote[2871].end |
12484.72971875 |
transcript.pyannote[2872].speaker |
SPEAKER_02 |
transcript.pyannote[2872].start |
12485.05034375 |
transcript.pyannote[2872].end |
12487.04159375 |
transcript.pyannote[2873].speaker |
SPEAKER_02 |
transcript.pyannote[2873].start |
12487.19346875 |
transcript.pyannote[2873].end |
12489.52221875 |
transcript.pyannote[2874].speaker |
SPEAKER_02 |
transcript.pyannote[2874].start |
12489.87659375 |
transcript.pyannote[2874].end |
12490.80471875 |
transcript.pyannote[2875].speaker |
SPEAKER_02 |
transcript.pyannote[2875].start |
12491.54721875 |
transcript.pyannote[2875].end |
12494.58471875 |
transcript.pyannote[2876].speaker |
SPEAKER_02 |
transcript.pyannote[2876].start |
12495.15846875 |
transcript.pyannote[2876].end |
12498.07784375 |
transcript.pyannote[2877].speaker |
SPEAKER_02 |
transcript.pyannote[2877].start |
12498.22971875 |
transcript.pyannote[2877].end |
12500.84534375 |
transcript.pyannote[2878].speaker |
SPEAKER_02 |
transcript.pyannote[2878].start |
12501.67221875 |
transcript.pyannote[2878].end |
12502.71846875 |
transcript.pyannote[2879].speaker |
SPEAKER_02 |
transcript.pyannote[2879].start |
12503.17409375 |
transcript.pyannote[2879].end |
12503.95034375 |
transcript.pyannote[2880].speaker |
SPEAKER_02 |
transcript.pyannote[2880].start |
12504.33846875 |
transcript.pyannote[2880].end |
12505.23284375 |
transcript.pyannote[2881].speaker |
SPEAKER_02 |
transcript.pyannote[2881].start |
12505.28346875 |
transcript.pyannote[2881].end |
12506.85284375 |
transcript.pyannote[2882].speaker |
SPEAKER_02 |
transcript.pyannote[2882].start |
12507.05534375 |
transcript.pyannote[2882].end |
12511.88159375 |
transcript.pyannote[2883].speaker |
SPEAKER_23 |
transcript.pyannote[2883].start |
12512.33721875 |
transcript.pyannote[2883].end |
12512.75909375 |
transcript.pyannote[2884].speaker |
SPEAKER_02 |
transcript.pyannote[2884].start |
12512.75909375 |
transcript.pyannote[2884].end |
12512.86034375 |
transcript.pyannote[2885].speaker |
SPEAKER_23 |
transcript.pyannote[2885].start |
12512.86034375 |
transcript.pyannote[2885].end |
12512.96159375 |
transcript.pyannote[2886].speaker |
SPEAKER_23 |
transcript.pyannote[2886].start |
12513.31596875 |
transcript.pyannote[2886].end |
12533.65034375 |
transcript.pyannote[2887].speaker |
SPEAKER_00 |
transcript.pyannote[2887].start |
12525.75284375 |
transcript.pyannote[2887].end |
12525.76971875 |
transcript.pyannote[2888].speaker |
SPEAKER_02 |
transcript.pyannote[2888].start |
12525.76971875 |
transcript.pyannote[2888].end |
12526.14096875 |
transcript.pyannote[2889].speaker |
SPEAKER_02 |
transcript.pyannote[2889].start |
12533.39721875 |
transcript.pyannote[2889].end |
12539.32034375 |
transcript.pyannote[2890].speaker |
SPEAKER_23 |
transcript.pyannote[2890].start |
12534.40971875 |
transcript.pyannote[2890].end |
12535.30409375 |
transcript.pyannote[2891].speaker |
SPEAKER_23 |
transcript.pyannote[2891].start |
12537.44721875 |
transcript.pyannote[2891].end |
12551.92596875 |
transcript.pyannote[2892].speaker |
SPEAKER_23 |
transcript.pyannote[2892].start |
12552.11159375 |
transcript.pyannote[2892].end |
12552.80346875 |
transcript.pyannote[2893].speaker |
SPEAKER_23 |
transcript.pyannote[2893].start |
12553.42784375 |
transcript.pyannote[2893].end |
12557.14034375 |
transcript.pyannote[2894].speaker |
SPEAKER_23 |
transcript.pyannote[2894].start |
12557.84909375 |
transcript.pyannote[2894].end |
12559.73909375 |
transcript.pyannote[2895].speaker |
SPEAKER_23 |
transcript.pyannote[2895].start |
12560.21159375 |
transcript.pyannote[2895].end |
12576.95159375 |
transcript.pyannote[2896].speaker |
SPEAKER_02 |
transcript.pyannote[2896].start |
12576.95159375 |
transcript.pyannote[2896].end |
12576.98534375 |
transcript.pyannote[2897].speaker |
SPEAKER_23 |
transcript.pyannote[2897].start |
12577.35659375 |
transcript.pyannote[2897].end |
12578.03159375 |
transcript.pyannote[2898].speaker |
SPEAKER_02 |
transcript.pyannote[2898].start |
12578.03159375 |
transcript.pyannote[2898].end |
12578.94284375 |
transcript.pyannote[2899].speaker |
SPEAKER_02 |
transcript.pyannote[2899].start |
12579.70221875 |
transcript.pyannote[2899].end |
12592.47659375 |
transcript.pyannote[2900].speaker |
SPEAKER_00 |
transcript.pyannote[2900].start |
12583.00971875 |
transcript.pyannote[2900].end |
12583.11096875 |
transcript.pyannote[2901].speaker |
SPEAKER_14 |
transcript.pyannote[2901].start |
12583.11096875 |
transcript.pyannote[2901].end |
12583.17846875 |
transcript.pyannote[2902].speaker |
SPEAKER_00 |
transcript.pyannote[2902].start |
12583.17846875 |
transcript.pyannote[2902].end |
12583.29659375 |
transcript.pyannote[2903].speaker |
SPEAKER_23 |
transcript.pyannote[2903].start |
12585.15284375 |
transcript.pyannote[2903].end |
12585.70971875 |
transcript.pyannote[2904].speaker |
SPEAKER_23 |
transcript.pyannote[2904].start |
12590.09721875 |
transcript.pyannote[2904].end |
12590.56971875 |
transcript.pyannote[2905].speaker |
SPEAKER_23 |
transcript.pyannote[2905].start |
12591.63284375 |
transcript.pyannote[2905].end |
12595.17659375 |
transcript.pyannote[2906].speaker |
SPEAKER_02 |
transcript.pyannote[2906].start |
12593.38784375 |
transcript.pyannote[2906].end |
12593.74221875 |
transcript.pyannote[2907].speaker |
SPEAKER_02 |
transcript.pyannote[2907].start |
12594.24846875 |
transcript.pyannote[2907].end |
12614.24534375 |
transcript.pyannote[2908].speaker |
SPEAKER_23 |
transcript.pyannote[2908].start |
12595.88534375 |
transcript.pyannote[2908].end |
12597.97784375 |
transcript.pyannote[2909].speaker |
SPEAKER_00 |
transcript.pyannote[2909].start |
12604.03596875 |
transcript.pyannote[2909].end |
12604.98096875 |
transcript.pyannote[2910].speaker |
SPEAKER_00 |
transcript.pyannote[2910].start |
12606.71909375 |
transcript.pyannote[2910].end |
12606.85409375 |
transcript.pyannote[2911].speaker |
SPEAKER_14 |
transcript.pyannote[2911].start |
12606.85409375 |
transcript.pyannote[2911].end |
12607.03971875 |
transcript.pyannote[2912].speaker |
SPEAKER_00 |
transcript.pyannote[2912].start |
12607.03971875 |
transcript.pyannote[2912].end |
12607.07346875 |
transcript.pyannote[2913].speaker |
SPEAKER_14 |
transcript.pyannote[2913].start |
12607.07346875 |
transcript.pyannote[2913].end |
12607.15784375 |
transcript.pyannote[2914].speaker |
SPEAKER_23 |
transcript.pyannote[2914].start |
12614.92034375 |
transcript.pyannote[2914].end |
12618.29534375 |
transcript.pyannote[2915].speaker |
SPEAKER_02 |
transcript.pyannote[2915].start |
12617.90721875 |
transcript.pyannote[2915].end |
12620.72534375 |
transcript.pyannote[2916].speaker |
SPEAKER_23 |
transcript.pyannote[2916].start |
12619.07159375 |
transcript.pyannote[2916].end |
12619.40909375 |
transcript.pyannote[2917].speaker |
SPEAKER_23 |
transcript.pyannote[2917].start |
12620.11784375 |
transcript.pyannote[2917].end |
12635.47409375 |
transcript.pyannote[2918].speaker |
SPEAKER_02 |
transcript.pyannote[2918].start |
12623.76284375 |
transcript.pyannote[2918].end |
12624.58971875 |
transcript.pyannote[2919].speaker |
SPEAKER_02 |
transcript.pyannote[2919].start |
12629.82096875 |
transcript.pyannote[2919].end |
12629.92221875 |
transcript.pyannote[2920].speaker |
SPEAKER_02 |
transcript.pyannote[2920].start |
12631.25534375 |
transcript.pyannote[2920].end |
12631.62659375 |
transcript.pyannote[2921].speaker |
SPEAKER_23 |
transcript.pyannote[2921].start |
12636.14909375 |
transcript.pyannote[2921].end |
12645.59909375 |
transcript.pyannote[2922].speaker |
SPEAKER_23 |
transcript.pyannote[2922].start |
12645.78471875 |
transcript.pyannote[2922].end |
12656.88846875 |
transcript.pyannote[2923].speaker |
SPEAKER_02 |
transcript.pyannote[2923].start |
12648.83909375 |
transcript.pyannote[2923].end |
12651.55596875 |
transcript.pyannote[2924].speaker |
SPEAKER_02 |
transcript.pyannote[2924].start |
12652.83846875 |
transcript.pyannote[2924].end |
12653.12534375 |
transcript.pyannote[2925].speaker |
SPEAKER_02 |
transcript.pyannote[2925].start |
12654.18846875 |
transcript.pyannote[2925].end |
12656.12909375 |
transcript.pyannote[2926].speaker |
SPEAKER_23 |
transcript.pyannote[2926].start |
12656.93909375 |
transcript.pyannote[2926].end |
12656.97284375 |
transcript.pyannote[2927].speaker |
SPEAKER_02 |
transcript.pyannote[2927].start |
12656.97284375 |
transcript.pyannote[2927].end |
12658.40721875 |
transcript.pyannote[2928].speaker |
SPEAKER_23 |
transcript.pyannote[2928].start |
12658.40721875 |
transcript.pyannote[2928].end |
12659.09909375 |
transcript.pyannote[2929].speaker |
SPEAKER_02 |
transcript.pyannote[2929].start |
12658.52534375 |
transcript.pyannote[2929].end |
12658.66034375 |
transcript.pyannote[2930].speaker |
SPEAKER_02 |
transcript.pyannote[2930].start |
12659.09909375 |
transcript.pyannote[2930].end |
12659.23409375 |
transcript.pyannote[2931].speaker |
SPEAKER_23 |
transcript.pyannote[2931].start |
12659.23409375 |
transcript.pyannote[2931].end |
12659.28471875 |
transcript.pyannote[2932].speaker |
SPEAKER_02 |
transcript.pyannote[2932].start |
12659.65596875 |
transcript.pyannote[2932].end |
12659.67284375 |
transcript.pyannote[2933].speaker |
SPEAKER_23 |
transcript.pyannote[2933].start |
12659.67284375 |
transcript.pyannote[2933].end |
12659.70659375 |
transcript.pyannote[2934].speaker |
SPEAKER_02 |
transcript.pyannote[2934].start |
12659.70659375 |
transcript.pyannote[2934].end |
12659.97659375 |
transcript.pyannote[2935].speaker |
SPEAKER_23 |
transcript.pyannote[2935].start |
12659.97659375 |
transcript.pyannote[2935].end |
12660.09471875 |
transcript.pyannote[2936].speaker |
SPEAKER_02 |
transcript.pyannote[2936].start |
12660.09471875 |
transcript.pyannote[2936].end |
12660.11159375 |
transcript.pyannote[2937].speaker |
SPEAKER_23 |
transcript.pyannote[2937].start |
12660.19596875 |
transcript.pyannote[2937].end |
12671.51909375 |
transcript.pyannote[2938].speaker |
SPEAKER_02 |
transcript.pyannote[2938].start |
12660.80346875 |
transcript.pyannote[2938].end |
12662.18721875 |
transcript.pyannote[2939].speaker |
SPEAKER_02 |
transcript.pyannote[2939].start |
12670.10159375 |
transcript.pyannote[2939].end |
12672.00846875 |
transcript.pyannote[2940].speaker |
SPEAKER_23 |
transcript.pyannote[2940].start |
12672.00846875 |
transcript.pyannote[2940].end |
12672.02534375 |
transcript.pyannote[2941].speaker |
SPEAKER_02 |
transcript.pyannote[2941].start |
12672.02534375 |
transcript.pyannote[2941].end |
12672.81846875 |
transcript.pyannote[2942].speaker |
SPEAKER_23 |
transcript.pyannote[2942].start |
12672.81846875 |
transcript.pyannote[2942].end |
12675.45096875 |
transcript.pyannote[2943].speaker |
SPEAKER_02 |
transcript.pyannote[2943].start |
12672.93659375 |
transcript.pyannote[2943].end |
12674.15159375 |
transcript.pyannote[2944].speaker |
SPEAKER_02 |
transcript.pyannote[2944].start |
12675.45096875 |
transcript.pyannote[2944].end |
12698.18159375 |
transcript.pyannote[2945].speaker |
SPEAKER_23 |
transcript.pyannote[2945].start |
12675.77159375 |
transcript.pyannote[2945].end |
12676.66596875 |
transcript.pyannote[2946].speaker |
SPEAKER_23 |
transcript.pyannote[2946].start |
12677.72909375 |
transcript.pyannote[2946].end |
12678.30284375 |
transcript.pyannote[2947].speaker |
SPEAKER_19 |
transcript.pyannote[2947].start |
12695.90346875 |
transcript.pyannote[2947].end |
12695.97096875 |
transcript.pyannote[2948].speaker |
SPEAKER_19 |
transcript.pyannote[2948].start |
12698.18159375 |
transcript.pyannote[2948].end |
12699.02534375 |
transcript.pyannote[2949].speaker |
SPEAKER_02 |
transcript.pyannote[2949].start |
12699.02534375 |
transcript.pyannote[2949].end |
12714.26346875 |
transcript.pyannote[2950].speaker |
SPEAKER_19 |
transcript.pyannote[2950].start |
12699.07596875 |
transcript.pyannote[2950].end |
12699.31221875 |
transcript.pyannote[2951].speaker |
SPEAKER_19 |
transcript.pyannote[2951].start |
12699.93659375 |
transcript.pyannote[2951].end |
12701.10096875 |
transcript.pyannote[2952].speaker |
SPEAKER_02 |
transcript.pyannote[2952].start |
12714.98909375 |
transcript.pyannote[2952].end |
12749.73471875 |
transcript.pyannote[2953].speaker |
SPEAKER_00 |
transcript.pyannote[2953].start |
12716.49096875 |
transcript.pyannote[2953].end |
12716.94659375 |
transcript.pyannote[2954].speaker |
SPEAKER_15 |
transcript.pyannote[2954].start |
12725.35034375 |
transcript.pyannote[2954].end |
12725.63721875 |
transcript.pyannote[2955].speaker |
SPEAKER_15 |
transcript.pyannote[2955].start |
12725.65409375 |
transcript.pyannote[2955].end |
12725.67096875 |
transcript.pyannote[2956].speaker |
SPEAKER_15 |
transcript.pyannote[2956].start |
12725.82284375 |
transcript.pyannote[2956].end |
12726.10971875 |
transcript.pyannote[2957].speaker |
SPEAKER_15 |
transcript.pyannote[2957].start |
12727.62846875 |
transcript.pyannote[2957].end |
12727.72971875 |
transcript.pyannote[2958].speaker |
SPEAKER_14 |
transcript.pyannote[2958].start |
12739.45784375 |
transcript.pyannote[2958].end |
12741.97221875 |
transcript.pyannote[2959].speaker |
SPEAKER_00 |
transcript.pyannote[2959].start |
12741.97221875 |
transcript.pyannote[2959].end |
12742.27596875 |
transcript.pyannote[2960].speaker |
SPEAKER_00 |
transcript.pyannote[2960].start |
12743.52471875 |
transcript.pyannote[2960].end |
12745.02659375 |
transcript.pyannote[2961].speaker |
SPEAKER_15 |
transcript.pyannote[2961].start |
12745.02659375 |
transcript.pyannote[2961].end |
12745.92096875 |
transcript.pyannote[2962].speaker |
SPEAKER_03 |
transcript.pyannote[2962].start |
12746.17409375 |
transcript.pyannote[2962].end |
12747.23721875 |
transcript.pyannote[2963].speaker |
SPEAKER_02 |
transcript.pyannote[2963].start |
12749.98784375 |
transcript.pyannote[2963].end |
12752.16471875 |
transcript.pyannote[2964].speaker |
SPEAKER_02 |
transcript.pyannote[2964].start |
12752.48534375 |
transcript.pyannote[2964].end |
12773.81534375 |
transcript.pyannote[2965].speaker |
SPEAKER_03 |
transcript.pyannote[2965].start |
12753.80159375 |
transcript.pyannote[2965].end |
12754.15596875 |
transcript.pyannote[2966].speaker |
SPEAKER_00 |
transcript.pyannote[2966].start |
12754.15596875 |
transcript.pyannote[2966].end |
12754.17284375 |
transcript.pyannote[2967].speaker |
SPEAKER_03 |
transcript.pyannote[2967].start |
12755.69159375 |
transcript.pyannote[2967].end |
12755.97846875 |
transcript.pyannote[2968].speaker |
SPEAKER_00 |
transcript.pyannote[2968].start |
12755.97846875 |
transcript.pyannote[2968].end |
12756.85596875 |
transcript.pyannote[2969].speaker |
SPEAKER_03 |
transcript.pyannote[2969].start |
12758.74596875 |
transcript.pyannote[2969].end |
12759.03284375 |
transcript.pyannote[2970].speaker |
SPEAKER_23 |
transcript.pyannote[2970].start |
12764.46659375 |
transcript.pyannote[2970].end |
12765.14159375 |
transcript.pyannote[2971].speaker |
SPEAKER_23 |
transcript.pyannote[2971].start |
12766.12034375 |
transcript.pyannote[2971].end |
12766.15409375 |
transcript.pyannote[2972].speaker |
SPEAKER_14 |
transcript.pyannote[2972].start |
12766.15409375 |
transcript.pyannote[2972].end |
12766.27221875 |
transcript.pyannote[2973].speaker |
SPEAKER_23 |
transcript.pyannote[2973].start |
12766.27221875 |
transcript.pyannote[2973].end |
12767.16659375 |
transcript.pyannote[2974].speaker |
SPEAKER_14 |
transcript.pyannote[2974].start |
12767.16659375 |
transcript.pyannote[2974].end |
12767.18346875 |
transcript.pyannote[2975].speaker |
SPEAKER_23 |
transcript.pyannote[2975].start |
12767.95971875 |
transcript.pyannote[2975].end |
12768.39846875 |
transcript.pyannote[2976].speaker |
SPEAKER_14 |
transcript.pyannote[2976].start |
12768.39846875 |
transcript.pyannote[2976].end |
12768.44909375 |
transcript.pyannote[2977].speaker |
SPEAKER_14 |
transcript.pyannote[2977].start |
12773.81534375 |
transcript.pyannote[2977].end |
12774.40596875 |
transcript.pyannote[2978].speaker |
SPEAKER_02 |
transcript.pyannote[2978].start |
12774.11909375 |
transcript.pyannote[2978].end |
12779.67096875 |
transcript.pyannote[2979].speaker |
SPEAKER_14 |
transcript.pyannote[2979].start |
12779.67096875 |
transcript.pyannote[2979].end |
12780.02534375 |
transcript.pyannote[2980].speaker |
SPEAKER_02 |
transcript.pyannote[2980].start |
12780.02534375 |
transcript.pyannote[2980].end |
12789.30659375 |
transcript.pyannote[2981].speaker |
SPEAKER_14 |
transcript.pyannote[2981].start |
12782.37096875 |
transcript.pyannote[2981].end |
12782.77596875 |
transcript.pyannote[2982].speaker |
SPEAKER_02 |
transcript.pyannote[2982].start |
12789.93096875 |
transcript.pyannote[2982].end |
12793.27221875 |
transcript.pyannote[2983].speaker |
SPEAKER_02 |
transcript.pyannote[2983].start |
12793.67721875 |
transcript.pyannote[2983].end |
12794.47034375 |
transcript.pyannote[2984].speaker |
SPEAKER_02 |
transcript.pyannote[2984].start |
12795.01034375 |
transcript.pyannote[2984].end |
12795.66846875 |
transcript.pyannote[2985].speaker |
SPEAKER_02 |
transcript.pyannote[2985].start |
12795.85409375 |
transcript.pyannote[2985].end |
12800.02221875 |
transcript.pyannote[2986].speaker |
SPEAKER_02 |
transcript.pyannote[2986].start |
12800.22471875 |
transcript.pyannote[2986].end |
12803.31284375 |
transcript.pyannote[2987].speaker |
SPEAKER_02 |
transcript.pyannote[2987].start |
12803.39721875 |
transcript.pyannote[2987].end |
12805.45596875 |
transcript.pyannote[2988].speaker |
SPEAKER_02 |
transcript.pyannote[2988].start |
12806.23221875 |
transcript.pyannote[2988].end |
12810.87284375 |
transcript.pyannote[2989].speaker |
SPEAKER_02 |
transcript.pyannote[2989].start |
12810.99096875 |
transcript.pyannote[2989].end |
12814.68659375 |
transcript.pyannote[2990].speaker |
SPEAKER_02 |
transcript.pyannote[2990].start |
12814.97346875 |
transcript.pyannote[2990].end |
12823.32659375 |
transcript.pyannote[2991].speaker |
SPEAKER_15 |
transcript.pyannote[2991].start |
12823.32659375 |
transcript.pyannote[2991].end |
12823.49534375 |
transcript.pyannote[2992].speaker |
SPEAKER_02 |
transcript.pyannote[2992].start |
12823.49534375 |
transcript.pyannote[2992].end |
12852.99284375 |
transcript.pyannote[2993].speaker |
SPEAKER_15 |
transcript.pyannote[2993].start |
12823.54596875 |
transcript.pyannote[2993].end |
12823.68096875 |
transcript.pyannote[2994].speaker |
SPEAKER_15 |
transcript.pyannote[2994].start |
12825.45284375 |
transcript.pyannote[2994].end |
12826.60034375 |
transcript.pyannote[2995].speaker |
SPEAKER_23 |
transcript.pyannote[2995].start |
12834.43034375 |
transcript.pyannote[2995].end |
12834.56534375 |
transcript.pyannote[2996].speaker |
SPEAKER_14 |
transcript.pyannote[2996].start |
12834.56534375 |
transcript.pyannote[2996].end |
12834.59909375 |
transcript.pyannote[2997].speaker |
SPEAKER_00 |
transcript.pyannote[2997].start |
12838.48034375 |
transcript.pyannote[2997].end |
12839.07096875 |
transcript.pyannote[2998].speaker |
SPEAKER_00 |
transcript.pyannote[2998].start |
12840.08346875 |
transcript.pyannote[2998].end |
12840.75846875 |
transcript.pyannote[2999].speaker |
SPEAKER_14 |
transcript.pyannote[2999].start |
12850.14096875 |
transcript.pyannote[2999].end |
12850.42784375 |
transcript.pyannote[3000].speaker |
SPEAKER_14 |
transcript.pyannote[3000].start |
12852.94221875 |
transcript.pyannote[3000].end |
12853.41471875 |
transcript.pyannote[3001].speaker |
SPEAKER_02 |
transcript.pyannote[3001].start |
12853.24596875 |
transcript.pyannote[3001].end |
12858.76409375 |
transcript.pyannote[3002].speaker |
SPEAKER_02 |
transcript.pyannote[3002].start |
12860.06346875 |
transcript.pyannote[3002].end |
12870.08721875 |
transcript.pyannote[3003].speaker |
SPEAKER_14 |
transcript.pyannote[3003].start |
12862.29096875 |
transcript.pyannote[3003].end |
12863.23596875 |
transcript.pyannote[3004].speaker |
SPEAKER_23 |
transcript.pyannote[3004].start |
12863.23596875 |
transcript.pyannote[3004].end |
12863.25284375 |
transcript.pyannote[3005].speaker |
SPEAKER_23 |
transcript.pyannote[3005].start |
12868.68659375 |
transcript.pyannote[3005].end |
12868.97346875 |
transcript.pyannote[3006].speaker |
SPEAKER_23 |
transcript.pyannote[3006].start |
12870.67784375 |
transcript.pyannote[3006].end |
12870.88034375 |
transcript.pyannote[3007].speaker |
SPEAKER_23 |
transcript.pyannote[3007].start |
12871.67346875 |
transcript.pyannote[3007].end |
12874.79534375 |
transcript.pyannote[3008].speaker |
SPEAKER_23 |
transcript.pyannote[3008].start |
12875.03159375 |
transcript.pyannote[3008].end |
12875.30159375 |
transcript.pyannote[3009].speaker |
SPEAKER_02 |
transcript.pyannote[3009].start |
12875.30159375 |
transcript.pyannote[3009].end |
12879.72284375 |
transcript.pyannote[3010].speaker |
SPEAKER_23 |
transcript.pyannote[3010].start |
12876.14534375 |
transcript.pyannote[3010].end |
12876.26346875 |
transcript.pyannote[3011].speaker |
SPEAKER_23 |
transcript.pyannote[3011].start |
12878.44034375 |
transcript.pyannote[3011].end |
12881.32596875 |
transcript.pyannote[3012].speaker |
SPEAKER_02 |
transcript.pyannote[3012].start |
12881.32596875 |
transcript.pyannote[3012].end |
12895.83846875 |
transcript.pyannote[3013].speaker |
SPEAKER_23 |
transcript.pyannote[3013].start |
12888.51471875 |
transcript.pyannote[3013].end |
12889.03784375 |
transcript.pyannote[3014].speaker |
SPEAKER_15 |
transcript.pyannote[3014].start |
12889.03784375 |
transcript.pyannote[3014].end |
12889.94909375 |
transcript.pyannote[3015].speaker |
SPEAKER_00 |
transcript.pyannote[3015].start |
12891.34971875 |
transcript.pyannote[3015].end |
12891.43409375 |
transcript.pyannote[3016].speaker |
SPEAKER_14 |
transcript.pyannote[3016].start |
12891.43409375 |
transcript.pyannote[3016].end |
12891.51846875 |
transcript.pyannote[3017].speaker |
SPEAKER_00 |
transcript.pyannote[3017].start |
12891.51846875 |
transcript.pyannote[3017].end |
12891.67034375 |
transcript.pyannote[3018].speaker |
SPEAKER_02 |
transcript.pyannote[3018].start |
12896.12534375 |
transcript.pyannote[3018].end |
12897.01971875 |
transcript.pyannote[3019].speaker |
SPEAKER_02 |
transcript.pyannote[3019].start |
12897.13784375 |
transcript.pyannote[3019].end |
12897.76221875 |
transcript.pyannote[3020].speaker |
SPEAKER_02 |
transcript.pyannote[3020].start |
12898.28534375 |
transcript.pyannote[3020].end |
12923.19284375 |
transcript.pyannote[3021].speaker |
SPEAKER_23 |
transcript.pyannote[3021].start |
12918.85596875 |
transcript.pyannote[3021].end |
12919.14284375 |
transcript.pyannote[3022].speaker |
SPEAKER_23 |
transcript.pyannote[3022].start |
12922.07909375 |
transcript.pyannote[3022].end |
12926.26409375 |
transcript.pyannote[3023].speaker |
SPEAKER_02 |
transcript.pyannote[3023].start |
12924.59346875 |
transcript.pyannote[3023].end |
12925.75784375 |
transcript.pyannote[3024].speaker |
SPEAKER_02 |
transcript.pyannote[3024].start |
12926.17971875 |
transcript.pyannote[3024].end |
12935.64659375 |
transcript.pyannote[3025].speaker |
SPEAKER_02 |
transcript.pyannote[3025].start |
12936.01784375 |
transcript.pyannote[3025].end |
12941.58659375 |
transcript.pyannote[3026].speaker |
SPEAKER_02 |
transcript.pyannote[3026].start |
12942.07596875 |
transcript.pyannote[3026].end |
12946.68284375 |
transcript.pyannote[3027].speaker |
SPEAKER_02 |
transcript.pyannote[3027].start |
12947.20596875 |
transcript.pyannote[3027].end |
12948.92721875 |
transcript.pyannote[3028].speaker |
SPEAKER_23 |
transcript.pyannote[3028].start |
12949.87221875 |
transcript.pyannote[3028].end |
12953.95596875 |
transcript.pyannote[3029].speaker |
SPEAKER_02 |
transcript.pyannote[3029].start |
12951.50909375 |
transcript.pyannote[3029].end |
12959.49096875 |
transcript.pyannote[3030].speaker |
SPEAKER_02 |
transcript.pyannote[3030].start |
12959.64284375 |
transcript.pyannote[3030].end |
12978.34034375 |
transcript.pyannote[3031].speaker |
SPEAKER_14 |
transcript.pyannote[3031].start |
12976.60221875 |
transcript.pyannote[3031].end |
12976.80471875 |
transcript.pyannote[3032].speaker |
SPEAKER_02 |
transcript.pyannote[3032].start |
12978.52596875 |
transcript.pyannote[3032].end |
12986.92971875 |
transcript.pyannote[3033].speaker |
SPEAKER_02 |
transcript.pyannote[3033].start |
12987.08159375 |
transcript.pyannote[3033].end |
12998.62409375 |
transcript.pyannote[3034].speaker |
SPEAKER_14 |
transcript.pyannote[3034].start |
12993.42659375 |
transcript.pyannote[3034].end |
12994.11846875 |
transcript.pyannote[3035].speaker |
SPEAKER_14 |
transcript.pyannote[3035].start |
12998.96159375 |
transcript.pyannote[3035].end |
12999.07971875 |
transcript.pyannote[3036].speaker |
SPEAKER_02 |
transcript.pyannote[3036].start |
12999.07971875 |
transcript.pyannote[3036].end |
13000.83471875 |
transcript.pyannote[3037].speaker |
SPEAKER_02 |
transcript.pyannote[3037].start |
13001.13846875 |
transcript.pyannote[3037].end |
13001.59409375 |
transcript.pyannote[3038].speaker |
SPEAKER_02 |
transcript.pyannote[3038].start |
13002.08346875 |
transcript.pyannote[3038].end |
13002.79221875 |
transcript.pyannote[3039].speaker |
SPEAKER_02 |
transcript.pyannote[3039].start |
13003.45034375 |
transcript.pyannote[3039].end |
13004.09159375 |
transcript.pyannote[3040].speaker |
SPEAKER_02 |
transcript.pyannote[3040].start |
13004.49659375 |
transcript.pyannote[3040].end |
13014.09846875 |
transcript.pyannote[3041].speaker |
SPEAKER_23 |
transcript.pyannote[3041].start |
13014.38534375 |
transcript.pyannote[3041].end |
13014.87471875 |
transcript.pyannote[3042].speaker |
SPEAKER_23 |
transcript.pyannote[3042].start |
13015.02659375 |
transcript.pyannote[3042].end |
13025.86034375 |
transcript.pyannote[3043].speaker |
SPEAKER_02 |
transcript.pyannote[3043].start |
13018.65471875 |
transcript.pyannote[3043].end |
13018.94159375 |
transcript.pyannote[3044].speaker |
SPEAKER_23 |
transcript.pyannote[3044].start |
13026.06284375 |
transcript.pyannote[3044].end |
13042.16159375 |
transcript.pyannote[3045].speaker |
SPEAKER_23 |
transcript.pyannote[3045].start |
13042.63409375 |
transcript.pyannote[3045].end |
13060.33596875 |
transcript.pyannote[3046].speaker |
SPEAKER_02 |
transcript.pyannote[3046].start |
13046.39721875 |
transcript.pyannote[3046].end |
13046.97096875 |
transcript.pyannote[3047].speaker |
SPEAKER_02 |
transcript.pyannote[3047].start |
13047.86534375 |
transcript.pyannote[3047].end |
13047.94971875 |
transcript.pyannote[3048].speaker |
SPEAKER_22 |
transcript.pyannote[3048].start |
13047.94971875 |
transcript.pyannote[3048].end |
13048.92846875 |
transcript.pyannote[3049].speaker |
SPEAKER_22 |
transcript.pyannote[3049].start |
13049.18159375 |
transcript.pyannote[3049].end |
13051.66221875 |
transcript.pyannote[3050].speaker |
SPEAKER_02 |
transcript.pyannote[3050].start |
13057.93971875 |
transcript.pyannote[3050].end |
13059.13784375 |
transcript.pyannote[3051].speaker |
SPEAKER_02 |
transcript.pyannote[3051].start |
13060.15034375 |
transcript.pyannote[3051].end |
13070.12346875 |
transcript.pyannote[3052].speaker |
SPEAKER_23 |
transcript.pyannote[3052].start |
13068.19971875 |
transcript.pyannote[3052].end |
13068.35159375 |
transcript.pyannote[3053].speaker |
SPEAKER_02 |
transcript.pyannote[3053].start |
13070.39346875 |
transcript.pyannote[3053].end |
13077.66659375 |
transcript.pyannote[3054].speaker |
SPEAKER_02 |
transcript.pyannote[3054].start |
13077.86909375 |
transcript.pyannote[3054].end |
13078.54409375 |
transcript.pyannote[3055].speaker |
SPEAKER_02 |
transcript.pyannote[3055].start |
13078.67909375 |
transcript.pyannote[3055].end |
13088.31471875 |
transcript.pyannote[3056].speaker |
SPEAKER_23 |
transcript.pyannote[3056].start |
13081.21034375 |
transcript.pyannote[3056].end |
13081.85159375 |
transcript.pyannote[3057].speaker |
SPEAKER_14 |
transcript.pyannote[3057].start |
13081.85159375 |
transcript.pyannote[3057].end |
13081.86846875 |
transcript.pyannote[3058].speaker |
SPEAKER_23 |
transcript.pyannote[3058].start |
13082.18909375 |
transcript.pyannote[3058].end |
13083.15096875 |
transcript.pyannote[3059].speaker |
SPEAKER_23 |
transcript.pyannote[3059].start |
13083.50534375 |
transcript.pyannote[3059].end |
13084.82159375 |
transcript.pyannote[3060].speaker |
SPEAKER_02 |
transcript.pyannote[3060].start |
13088.48346875 |
transcript.pyannote[3060].end |
13091.03159375 |
transcript.pyannote[3061].speaker |
SPEAKER_23 |
transcript.pyannote[3061].start |
13090.54221875 |
transcript.pyannote[3061].end |
13090.98096875 |
transcript.pyannote[3062].speaker |
SPEAKER_23 |
transcript.pyannote[3062].start |
13091.03159375 |
transcript.pyannote[3062].end |
13091.50409375 |
transcript.pyannote[3063].speaker |
SPEAKER_02 |
transcript.pyannote[3063].start |
13091.50409375 |
transcript.pyannote[3063].end |
13091.52096875 |
transcript.pyannote[3064].speaker |
SPEAKER_23 |
transcript.pyannote[3064].start |
13091.52096875 |
transcript.pyannote[3064].end |
13091.55471875 |
transcript.pyannote[3065].speaker |
SPEAKER_02 |
transcript.pyannote[3065].start |
13091.55471875 |
transcript.pyannote[3065].end |
13091.57159375 |
transcript.pyannote[3066].speaker |
SPEAKER_23 |
transcript.pyannote[3066].start |
13091.57159375 |
transcript.pyannote[3066].end |
13095.73971875 |
transcript.pyannote[3067].speaker |
SPEAKER_23 |
transcript.pyannote[3067].start |
13096.21221875 |
transcript.pyannote[3067].end |
13120.54596875 |
transcript.pyannote[3068].speaker |
SPEAKER_02 |
transcript.pyannote[3068].start |
13111.68659375 |
transcript.pyannote[3068].end |
13113.37409375 |
transcript.pyannote[3069].speaker |
SPEAKER_20 |
transcript.pyannote[3069].start |
13116.27659375 |
transcript.pyannote[3069].end |
13117.45784375 |
transcript.pyannote[3070].speaker |
SPEAKER_20 |
transcript.pyannote[3070].start |
13120.54596875 |
transcript.pyannote[3070].end |
13123.51596875 |
transcript.pyannote[3071].speaker |
SPEAKER_20 |
transcript.pyannote[3071].start |
13123.98846875 |
transcript.pyannote[3071].end |
13126.85721875 |
transcript.pyannote[3072].speaker |
SPEAKER_04 |
transcript.pyannote[3072].start |
13135.32846875 |
transcript.pyannote[3072].end |
13139.44596875 |
transcript.pyannote[3073].speaker |
SPEAKER_04 |
transcript.pyannote[3073].start |
13139.85096875 |
transcript.pyannote[3073].end |
13141.92659375 |
transcript.pyannote[3074].speaker |
SPEAKER_20 |
transcript.pyannote[3074].start |
13140.07034375 |
transcript.pyannote[3074].end |
13140.34034375 |
transcript.pyannote[3075].speaker |
SPEAKER_04 |
transcript.pyannote[3075].start |
13142.17971875 |
transcript.pyannote[3075].end |
13142.87159375 |
transcript.pyannote[3076].speaker |
SPEAKER_04 |
transcript.pyannote[3076].start |
13143.42846875 |
transcript.pyannote[3076].end |
13150.75221875 |
transcript.pyannote[3077].speaker |
SPEAKER_04 |
transcript.pyannote[3077].start |
13155.03846875 |
transcript.pyannote[3077].end |
13162.86846875 |
transcript.pyannote[3078].speaker |
SPEAKER_00 |
transcript.pyannote[3078].start |
13157.13096875 |
transcript.pyannote[3078].end |
13157.14784375 |
transcript.pyannote[3079].speaker |
SPEAKER_00 |
transcript.pyannote[3079].start |
13157.18159375 |
transcript.pyannote[3079].end |
13157.36721875 |
transcript.pyannote[3080].speaker |
SPEAKER_14 |
transcript.pyannote[3080].start |
13157.36721875 |
transcript.pyannote[3080].end |
13157.82284375 |
transcript.pyannote[3081].speaker |
SPEAKER_00 |
transcript.pyannote[3081].start |
13157.82284375 |
transcript.pyannote[3081].end |
13158.05909375 |
transcript.pyannote[3082].speaker |
SPEAKER_23 |
transcript.pyannote[3082].start |
13163.05409375 |
transcript.pyannote[3082].end |
13166.27721875 |
transcript.pyannote[3083].speaker |
SPEAKER_04 |
transcript.pyannote[3083].start |
13164.48846875 |
transcript.pyannote[3083].end |
13165.18034375 |
transcript.pyannote[3084].speaker |
SPEAKER_04 |
transcript.pyannote[3084].start |
13166.00721875 |
transcript.pyannote[3084].end |
13168.15034375 |
transcript.pyannote[3085].speaker |
SPEAKER_23 |
transcript.pyannote[3085].start |
13166.49659375 |
transcript.pyannote[3085].end |
13168.25159375 |
transcript.pyannote[3086].speaker |
SPEAKER_04 |
transcript.pyannote[3086].start |
13168.25159375 |
transcript.pyannote[3086].end |
13172.08221875 |
transcript.pyannote[3087].speaker |
SPEAKER_23 |
transcript.pyannote[3087].start |
13168.28534375 |
transcript.pyannote[3087].end |
13168.77471875 |
transcript.pyannote[3088].speaker |
SPEAKER_04 |
transcript.pyannote[3088].start |
13173.38159375 |
transcript.pyannote[3088].end |
13178.22471875 |
transcript.pyannote[3089].speaker |
SPEAKER_04 |
transcript.pyannote[3089].start |
13178.59596875 |
transcript.pyannote[3089].end |
13181.95409375 |
transcript.pyannote[3090].speaker |
SPEAKER_04 |
transcript.pyannote[3090].start |
13182.61221875 |
transcript.pyannote[3090].end |
13185.21096875 |
transcript.pyannote[3091].speaker |
SPEAKER_04 |
transcript.pyannote[3091].start |
13185.53159375 |
transcript.pyannote[3091].end |
13186.78034375 |
transcript.pyannote[3092].speaker |
SPEAKER_04 |
transcript.pyannote[3092].start |
13187.25284375 |
transcript.pyannote[3092].end |
13187.89409375 |
transcript.pyannote[3093].speaker |
SPEAKER_04 |
transcript.pyannote[3093].start |
13188.29909375 |
transcript.pyannote[3093].end |
13189.69971875 |
transcript.pyannote[3094].speaker |
SPEAKER_07 |
transcript.pyannote[3094].start |
13191.43784375 |
transcript.pyannote[3094].end |
13194.37409375 |
transcript.pyannote[3095].speaker |
SPEAKER_04 |
transcript.pyannote[3095].start |
13195.79159375 |
transcript.pyannote[3095].end |
13197.74909375 |
transcript.pyannote[3096].speaker |
SPEAKER_04 |
transcript.pyannote[3096].start |
13198.03596875 |
transcript.pyannote[3096].end |
13199.11596875 |
transcript.pyannote[3097].speaker |
SPEAKER_04 |
transcript.pyannote[3097].start |
13199.67284375 |
transcript.pyannote[3097].end |
13202.96346875 |
transcript.pyannote[3098].speaker |
SPEAKER_07 |
transcript.pyannote[3098].start |
13202.37284375 |
transcript.pyannote[3098].end |
13203.94221875 |
transcript.pyannote[3099].speaker |
SPEAKER_04 |
transcript.pyannote[3099].start |
13203.72284375 |
transcript.pyannote[3099].end |
13204.61721875 |
transcript.pyannote[3100].speaker |
SPEAKER_07 |
transcript.pyannote[3100].start |
13204.90409375 |
transcript.pyannote[3100].end |
13205.96721875 |
transcript.pyannote[3101].speaker |
SPEAKER_04 |
transcript.pyannote[3101].start |
13206.54096875 |
transcript.pyannote[3101].end |
13207.18221875 |
transcript.pyannote[3102].speaker |
SPEAKER_04 |
transcript.pyannote[3102].start |
13207.92471875 |
transcript.pyannote[3102].end |
13212.53159375 |
transcript.pyannote[3103].speaker |
SPEAKER_04 |
transcript.pyannote[3103].start |
13212.93659375 |
transcript.pyannote[3103].end |
13214.05034375 |
transcript.pyannote[3104].speaker |
SPEAKER_04 |
transcript.pyannote[3104].start |
13214.48909375 |
transcript.pyannote[3104].end |
13215.06284375 |
transcript.pyannote[3105].speaker |
SPEAKER_01 |
transcript.pyannote[3105].start |
13215.06284375 |
transcript.pyannote[3105].end |
13215.41721875 |
transcript.pyannote[3106].speaker |
SPEAKER_04 |
transcript.pyannote[3106].start |
13215.99096875 |
transcript.pyannote[3106].end |
13218.26909375 |
transcript.pyannote[3107].speaker |
SPEAKER_04 |
transcript.pyannote[3107].start |
13218.74159375 |
transcript.pyannote[3107].end |
13223.48346875 |
transcript.pyannote[3108].speaker |
SPEAKER_04 |
transcript.pyannote[3108].start |
13224.66471875 |
transcript.pyannote[3108].end |
13225.49159375 |
transcript.pyannote[3109].speaker |
SPEAKER_04 |
transcript.pyannote[3109].start |
13226.09909375 |
transcript.pyannote[3109].end |
13226.75721875 |
transcript.pyannote[3110].speaker |
SPEAKER_04 |
transcript.pyannote[3110].start |
13227.06096875 |
transcript.pyannote[3110].end |
13230.48659375 |
transcript.pyannote[3111].speaker |
SPEAKER_04 |
transcript.pyannote[3111].start |
13230.90846875 |
transcript.pyannote[3111].end |
13231.46534375 |
transcript.pyannote[3112].speaker |
SPEAKER_07 |
transcript.pyannote[3112].start |
13232.54534375 |
transcript.pyannote[3112].end |
13232.89971875 |
transcript.pyannote[3113].speaker |
SPEAKER_04 |
transcript.pyannote[3113].start |
13233.23721875 |
transcript.pyannote[3113].end |
13238.75534375 |
transcript.pyannote[3114].speaker |
SPEAKER_07 |
transcript.pyannote[3114].start |
13239.00846875 |
transcript.pyannote[3114].end |
13239.43034375 |
transcript.pyannote[3115].speaker |
SPEAKER_04 |
transcript.pyannote[3115].start |
13239.64971875 |
transcript.pyannote[3115].end |
13239.98721875 |
transcript.pyannote[3116].speaker |
SPEAKER_04 |
transcript.pyannote[3116].start |
13240.42596875 |
transcript.pyannote[3116].end |
13248.03659375 |
transcript.pyannote[3117].speaker |
SPEAKER_04 |
transcript.pyannote[3117].start |
13248.57659375 |
transcript.pyannote[3117].end |
13255.42784375 |
transcript.pyannote[3118].speaker |
SPEAKER_04 |
transcript.pyannote[3118].start |
13255.91721875 |
transcript.pyannote[3118].end |
13265.02971875 |
transcript.pyannote[3119].speaker |
SPEAKER_07 |
transcript.pyannote[3119].start |
13266.71721875 |
transcript.pyannote[3119].end |
13270.68284375 |
transcript.pyannote[3120].speaker |
SPEAKER_15 |
transcript.pyannote[3120].start |
13270.68284375 |
transcript.pyannote[3120].end |
13270.69971875 |
transcript.pyannote[3121].speaker |
SPEAKER_07 |
transcript.pyannote[3121].start |
13270.69971875 |
transcript.pyannote[3121].end |
13270.98659375 |
transcript.pyannote[3122].speaker |
SPEAKER_15 |
transcript.pyannote[3122].start |
13270.98659375 |
transcript.pyannote[3122].end |
13271.18909375 |
transcript.pyannote[3123].speaker |
SPEAKER_07 |
transcript.pyannote[3123].start |
13271.18909375 |
transcript.pyannote[3123].end |
13273.48409375 |
transcript.pyannote[3124].speaker |
SPEAKER_15 |
transcript.pyannote[3124].start |
13271.22284375 |
transcript.pyannote[3124].end |
13271.93159375 |
transcript.pyannote[3125].speaker |
SPEAKER_04 |
transcript.pyannote[3125].start |
13271.93159375 |
transcript.pyannote[3125].end |
13271.96534375 |
transcript.pyannote[3126].speaker |
SPEAKER_04 |
transcript.pyannote[3126].start |
13273.48409375 |
transcript.pyannote[3126].end |
13273.50096875 |
transcript.pyannote[3127].speaker |
SPEAKER_07 |
transcript.pyannote[3127].start |
13274.05784375 |
transcript.pyannote[3127].end |
13282.24221875 |
transcript.pyannote[3128].speaker |
SPEAKER_04 |
transcript.pyannote[3128].start |
13278.88409375 |
transcript.pyannote[3128].end |
13279.40721875 |
transcript.pyannote[3129].speaker |
SPEAKER_07 |
transcript.pyannote[3129].start |
13282.47846875 |
transcript.pyannote[3129].end |
13288.30034375 |
transcript.pyannote[3130].speaker |
SPEAKER_04 |
transcript.pyannote[3130].start |
13288.94159375 |
transcript.pyannote[3130].end |
13289.34659375 |
transcript.pyannote[3131].speaker |
SPEAKER_04 |
transcript.pyannote[3131].start |
13289.76846875 |
transcript.pyannote[3131].end |
13297.73346875 |
transcript.pyannote[3132].speaker |
SPEAKER_04 |
transcript.pyannote[3132].start |
13298.23971875 |
transcript.pyannote[3132].end |
13298.81346875 |
transcript.pyannote[3133].speaker |
SPEAKER_04 |
transcript.pyannote[3133].start |
13299.70784375 |
transcript.pyannote[3133].end |
13303.65659375 |
transcript.pyannote[3134].speaker |
SPEAKER_04 |
transcript.pyannote[3134].start |
13303.80846875 |
transcript.pyannote[3134].end |
13307.14971875 |
transcript.pyannote[3135].speaker |
SPEAKER_12 |
transcript.pyannote[3135].start |
13308.06096875 |
transcript.pyannote[3135].end |
13308.38159375 |
transcript.pyannote[3136].speaker |
SPEAKER_07 |
transcript.pyannote[3136].start |
13308.38159375 |
transcript.pyannote[3136].end |
13308.97221875 |
transcript.pyannote[3137].speaker |
SPEAKER_04 |
transcript.pyannote[3137].start |
13308.39846875 |
transcript.pyannote[3137].end |
13309.96784375 |
transcript.pyannote[3138].speaker |
SPEAKER_07 |
transcript.pyannote[3138].start |
13309.96784375 |
transcript.pyannote[3138].end |
13325.37471875 |
transcript.pyannote[3139].speaker |
SPEAKER_04 |
transcript.pyannote[3139].start |
13325.96534375 |
transcript.pyannote[3139].end |
13330.60596875 |
transcript.pyannote[3140].speaker |
SPEAKER_04 |
transcript.pyannote[3140].start |
13330.92659375 |
transcript.pyannote[3140].end |
13331.31471875 |
transcript.pyannote[3141].speaker |
SPEAKER_04 |
transcript.pyannote[3141].start |
13331.75346875 |
transcript.pyannote[3141].end |
13333.93034375 |
transcript.pyannote[3142].speaker |
SPEAKER_04 |
transcript.pyannote[3142].start |
13334.99346875 |
transcript.pyannote[3142].end |
13336.90034375 |
transcript.pyannote[3143].speaker |
SPEAKER_04 |
transcript.pyannote[3143].start |
13337.79471875 |
transcript.pyannote[3143].end |
13340.17409375 |
transcript.pyannote[3144].speaker |
SPEAKER_04 |
transcript.pyannote[3144].start |
13340.69721875 |
transcript.pyannote[3144].end |
13360.50846875 |
transcript.pyannote[3145].speaker |
SPEAKER_04 |
transcript.pyannote[3145].start |
13360.77846875 |
transcript.pyannote[3145].end |
13361.43659375 |
transcript.pyannote[3146].speaker |
SPEAKER_04 |
transcript.pyannote[3146].start |
13362.24659375 |
transcript.pyannote[3146].end |
13382.00721875 |
transcript.pyannote[3147].speaker |
SPEAKER_04 |
transcript.pyannote[3147].start |
13382.83409375 |
transcript.pyannote[3147].end |
13383.91409375 |
transcript.pyannote[3148].speaker |
SPEAKER_04 |
transcript.pyannote[3148].start |
13384.72409375 |
transcript.pyannote[3148].end |
13386.00659375 |
transcript.pyannote[3149].speaker |
SPEAKER_04 |
transcript.pyannote[3149].start |
13386.34409375 |
transcript.pyannote[3149].end |
13393.90409375 |
transcript.pyannote[3150].speaker |
SPEAKER_04 |
transcript.pyannote[3150].start |
13394.29221875 |
transcript.pyannote[3150].end |
13395.79409375 |
transcript.pyannote[3151].speaker |
SPEAKER_04 |
transcript.pyannote[3151].start |
13396.84034375 |
transcript.pyannote[3151].end |
13400.02971875 |
transcript.pyannote[3152].speaker |
SPEAKER_04 |
transcript.pyannote[3152].start |
13400.78909375 |
transcript.pyannote[3152].end |
13401.44721875 |
transcript.pyannote[3153].speaker |
SPEAKER_04 |
transcript.pyannote[3153].start |
13402.17284375 |
transcript.pyannote[3153].end |
13402.81409375 |
transcript.pyannote[3154].speaker |
SPEAKER_04 |
transcript.pyannote[3154].start |
13405.04159375 |
transcript.pyannote[3154].end |
13407.97784375 |
transcript.pyannote[3155].speaker |
SPEAKER_23 |
transcript.pyannote[3155].start |
13405.21034375 |
transcript.pyannote[3155].end |
13407.45471875 |
transcript.pyannote[3156].speaker |
SPEAKER_23 |
transcript.pyannote[3156].start |
13407.97784375 |
transcript.pyannote[3156].end |
13408.23096875 |
transcript.pyannote[3157].speaker |
SPEAKER_04 |
transcript.pyannote[3157].start |
13408.58534375 |
transcript.pyannote[3157].end |
13408.60221875 |
transcript.pyannote[3158].speaker |
SPEAKER_23 |
transcript.pyannote[3158].start |
13408.60221875 |
transcript.pyannote[3158].end |
13421.10659375 |
transcript.pyannote[3159].speaker |
SPEAKER_04 |
transcript.pyannote[3159].start |
13410.40784375 |
transcript.pyannote[3159].end |
13410.86346875 |
transcript.pyannote[3160].speaker |
SPEAKER_04 |
transcript.pyannote[3160].start |
13421.10659375 |
transcript.pyannote[3160].end |
13421.12346875 |
transcript.pyannote[3161].speaker |
SPEAKER_04 |
transcript.pyannote[3161].start |
13421.25846875 |
transcript.pyannote[3161].end |
13425.47721875 |
transcript.pyannote[3162].speaker |
SPEAKER_04 |
transcript.pyannote[3162].start |
13425.62909375 |
transcript.pyannote[3162].end |
13429.96596875 |
transcript.pyannote[3163].speaker |
SPEAKER_23 |
transcript.pyannote[3163].start |
13429.96596875 |
transcript.pyannote[3163].end |
13430.23596875 |
transcript.pyannote[3164].speaker |
SPEAKER_04 |
transcript.pyannote[3164].start |
13430.23596875 |
transcript.pyannote[3164].end |
13430.28659375 |
transcript.pyannote[3165].speaker |
SPEAKER_04 |
transcript.pyannote[3165].start |
13430.72534375 |
transcript.pyannote[3165].end |
13430.74221875 |
transcript.pyannote[3166].speaker |
SPEAKER_23 |
transcript.pyannote[3166].start |
13430.74221875 |
transcript.pyannote[3166].end |
13442.79096875 |
transcript.pyannote[3167].speaker |
SPEAKER_23 |
transcript.pyannote[3167].start |
13443.55034375 |
transcript.pyannote[3167].end |
13449.38909375 |
transcript.pyannote[3168].speaker |
SPEAKER_04 |
transcript.pyannote[3168].start |
13449.38909375 |
transcript.pyannote[3168].end |
13461.85971875 |
transcript.pyannote[3169].speaker |
SPEAKER_23 |
transcript.pyannote[3169].start |
13450.16534375 |
transcript.pyannote[3169].end |
13451.95409375 |
transcript.pyannote[3170].speaker |
SPEAKER_04 |
transcript.pyannote[3170].start |
13462.07909375 |
transcript.pyannote[3170].end |
13469.18346875 |
transcript.pyannote[3171].speaker |
SPEAKER_23 |
transcript.pyannote[3171].start |
13469.30159375 |
transcript.pyannote[3171].end |
13469.67284375 |
transcript.pyannote[3172].speaker |
SPEAKER_04 |
transcript.pyannote[3172].start |
13469.82471875 |
transcript.pyannote[3172].end |
13471.90034375 |
transcript.pyannote[3173].speaker |
SPEAKER_23 |
transcript.pyannote[3173].start |
13471.90034375 |
transcript.pyannote[3173].end |
13475.79846875 |
transcript.pyannote[3174].speaker |
SPEAKER_04 |
transcript.pyannote[3174].start |
13475.74784375 |
transcript.pyannote[3174].end |
13478.17784375 |
transcript.pyannote[3175].speaker |
SPEAKER_04 |
transcript.pyannote[3175].start |
13478.48159375 |
transcript.pyannote[3175].end |
13481.02971875 |
transcript.pyannote[3176].speaker |
SPEAKER_23 |
transcript.pyannote[3176].start |
13480.57409375 |
transcript.pyannote[3176].end |
13480.94534375 |
transcript.pyannote[3177].speaker |
SPEAKER_14 |
transcript.pyannote[3177].start |
13480.94534375 |
transcript.pyannote[3177].end |
13481.35034375 |
transcript.pyannote[3178].speaker |
SPEAKER_04 |
transcript.pyannote[3178].start |
13481.24909375 |
transcript.pyannote[3178].end |
13489.06221875 |
transcript.pyannote[3179].speaker |
SPEAKER_14 |
transcript.pyannote[3179].start |
13489.06221875 |
transcript.pyannote[3179].end |
13489.18034375 |
transcript.pyannote[3180].speaker |
SPEAKER_04 |
transcript.pyannote[3180].start |
13489.18034375 |
transcript.pyannote[3180].end |
13490.81721875 |
transcript.pyannote[3181].speaker |
SPEAKER_04 |
transcript.pyannote[3181].start |
13491.81284375 |
transcript.pyannote[3181].end |
13499.81159375 |
transcript.pyannote[3182].speaker |
SPEAKER_14 |
transcript.pyannote[3182].start |
13500.16596875 |
transcript.pyannote[3182].end |
13500.18284375 |
transcript.pyannote[3183].speaker |
SPEAKER_04 |
transcript.pyannote[3183].start |
13500.18284375 |
transcript.pyannote[3183].end |
13501.14471875 |
transcript.pyannote[3184].speaker |
SPEAKER_14 |
transcript.pyannote[3184].start |
13501.14471875 |
transcript.pyannote[3184].end |
13501.34721875 |
transcript.pyannote[3185].speaker |
SPEAKER_04 |
transcript.pyannote[3185].start |
13501.27971875 |
transcript.pyannote[3185].end |
13501.29659375 |
transcript.pyannote[3186].speaker |
SPEAKER_04 |
transcript.pyannote[3186].start |
13501.34721875 |
transcript.pyannote[3186].end |
13502.74784375 |
transcript.pyannote[3187].speaker |
SPEAKER_04 |
transcript.pyannote[3187].start |
13502.93346875 |
transcript.pyannote[3187].end |
13506.35909375 |
transcript.pyannote[3188].speaker |
SPEAKER_23 |
transcript.pyannote[3188].start |
13506.35909375 |
transcript.pyannote[3188].end |
13506.49409375 |
transcript.pyannote[3189].speaker |
SPEAKER_04 |
transcript.pyannote[3189].start |
13506.49409375 |
transcript.pyannote[3189].end |
13510.74659375 |
transcript.pyannote[3190].speaker |
SPEAKER_23 |
transcript.pyannote[3190].start |
13510.74659375 |
transcript.pyannote[3190].end |
13510.93221875 |
transcript.pyannote[3191].speaker |
SPEAKER_23 |
transcript.pyannote[3191].start |
13511.67471875 |
transcript.pyannote[3191].end |
13512.19784375 |
transcript.pyannote[3192].speaker |
SPEAKER_04 |
transcript.pyannote[3192].start |
13512.19784375 |
transcript.pyannote[3192].end |
13518.66096875 |
transcript.pyannote[3193].speaker |
SPEAKER_23 |
transcript.pyannote[3193].start |
13512.24846875 |
transcript.pyannote[3193].end |
13512.26534375 |
transcript.pyannote[3194].speaker |
SPEAKER_23 |
transcript.pyannote[3194].start |
13512.43409375 |
transcript.pyannote[3194].end |
13512.50159375 |
transcript.pyannote[3195].speaker |
SPEAKER_04 |
transcript.pyannote[3195].start |
13519.11659375 |
transcript.pyannote[3195].end |
13526.50784375 |
transcript.pyannote[3196].speaker |
SPEAKER_04 |
transcript.pyannote[3196].start |
13526.72721875 |
transcript.pyannote[3196].end |
13527.21659375 |
transcript.pyannote[3197].speaker |
SPEAKER_04 |
transcript.pyannote[3197].start |
13527.85784375 |
transcript.pyannote[3197].end |
13529.19096875 |
transcript.pyannote[3198].speaker |
SPEAKER_04 |
transcript.pyannote[3198].start |
13529.73096875 |
transcript.pyannote[3198].end |
13530.22034375 |
transcript.pyannote[3199].speaker |
SPEAKER_04 |
transcript.pyannote[3199].start |
13530.35534375 |
transcript.pyannote[3199].end |
13531.19909375 |
transcript.pyannote[3200].speaker |
SPEAKER_23 |
transcript.pyannote[3200].start |
13531.36784375 |
transcript.pyannote[3200].end |
13531.63784375 |
transcript.pyannote[3201].speaker |
SPEAKER_20 |
transcript.pyannote[3201].start |
13531.63784375 |
transcript.pyannote[3201].end |
13531.67159375 |
transcript.pyannote[3202].speaker |
SPEAKER_23 |
transcript.pyannote[3202].start |
13531.67159375 |
transcript.pyannote[3202].end |
13531.73909375 |
transcript.pyannote[3203].speaker |
SPEAKER_20 |
transcript.pyannote[3203].start |
13531.73909375 |
transcript.pyannote[3203].end |
13532.92034375 |
transcript.pyannote[3204].speaker |
SPEAKER_20 |
transcript.pyannote[3204].start |
13533.66284375 |
transcript.pyannote[3204].end |
13535.92409375 |
transcript.pyannote[3205].speaker |
SPEAKER_20 |
transcript.pyannote[3205].start |
13536.24471875 |
transcript.pyannote[3205].end |
13538.08409375 |
transcript.pyannote[3206].speaker |
SPEAKER_13 |
transcript.pyannote[3206].start |
13549.12034375 |
transcript.pyannote[3206].end |
13551.24659375 |
transcript.pyannote[3207].speaker |
SPEAKER_13 |
transcript.pyannote[3207].start |
13551.49971875 |
transcript.pyannote[3207].end |
13551.66846875 |
transcript.pyannote[3208].speaker |
SPEAKER_20 |
transcript.pyannote[3208].start |
13551.93846875 |
transcript.pyannote[3208].end |
13552.61346875 |
transcript.pyannote[3209].speaker |
SPEAKER_13 |
transcript.pyannote[3209].start |
13557.79409375 |
transcript.pyannote[3209].end |
13558.46909375 |
transcript.pyannote[3210].speaker |
SPEAKER_13 |
transcript.pyannote[3210].start |
13558.53659375 |
transcript.pyannote[3210].end |
13559.14409375 |
transcript.pyannote[3211].speaker |
SPEAKER_13 |
transcript.pyannote[3211].start |
13559.73471875 |
transcript.pyannote[3211].end |
13564.83096875 |
transcript.pyannote[3212].speaker |
SPEAKER_23 |
transcript.pyannote[3212].start |
13561.79346875 |
transcript.pyannote[3212].end |
13562.68784375 |
transcript.pyannote[3213].speaker |
SPEAKER_00 |
transcript.pyannote[3213].start |
13563.44721875 |
transcript.pyannote[3213].end |
13563.48096875 |
transcript.pyannote[3214].speaker |
SPEAKER_15 |
transcript.pyannote[3214].start |
13563.48096875 |
transcript.pyannote[3214].end |
13564.08846875 |
transcript.pyannote[3215].speaker |
SPEAKER_13 |
transcript.pyannote[3215].start |
13565.18534375 |
transcript.pyannote[3215].end |
13568.08784375 |
transcript.pyannote[3216].speaker |
SPEAKER_13 |
transcript.pyannote[3216].start |
13568.44221875 |
transcript.pyannote[3216].end |
13569.64034375 |
transcript.pyannote[3217].speaker |
SPEAKER_13 |
transcript.pyannote[3217].start |
13569.94409375 |
transcript.pyannote[3217].end |
13571.53034375 |
transcript.pyannote[3218].speaker |
SPEAKER_13 |
transcript.pyannote[3218].start |
13571.71596875 |
transcript.pyannote[3218].end |
13572.64409375 |
transcript.pyannote[3219].speaker |
SPEAKER_13 |
transcript.pyannote[3219].start |
13572.98159375 |
transcript.pyannote[3219].end |
13574.41596875 |
transcript.pyannote[3220].speaker |
SPEAKER_13 |
transcript.pyannote[3220].start |
13574.80409375 |
transcript.pyannote[3220].end |
13576.28909375 |
transcript.pyannote[3221].speaker |
SPEAKER_13 |
transcript.pyannote[3221].start |
13576.55909375 |
transcript.pyannote[3221].end |
13578.51659375 |
transcript.pyannote[3222].speaker |
SPEAKER_13 |
transcript.pyannote[3222].start |
13578.97221875 |
transcript.pyannote[3222].end |
13583.25846875 |
transcript.pyannote[3223].speaker |
SPEAKER_15 |
transcript.pyannote[3223].start |
13583.25846875 |
transcript.pyannote[3223].end |
13583.62971875 |
transcript.pyannote[3224].speaker |
SPEAKER_13 |
transcript.pyannote[3224].start |
13583.62971875 |
transcript.pyannote[3224].end |
13584.69284375 |
transcript.pyannote[3225].speaker |
SPEAKER_13 |
transcript.pyannote[3225].start |
13585.08096875 |
transcript.pyannote[3225].end |
13589.14784375 |
transcript.pyannote[3226].speaker |
SPEAKER_15 |
transcript.pyannote[3226].start |
13587.62909375 |
transcript.pyannote[3226].end |
13587.86534375 |
transcript.pyannote[3227].speaker |
SPEAKER_13 |
transcript.pyannote[3227].start |
13589.53596875 |
transcript.pyannote[3227].end |
13589.80596875 |
transcript.pyannote[3228].speaker |
SPEAKER_15 |
transcript.pyannote[3228].start |
13589.56971875 |
transcript.pyannote[3228].end |
13589.77221875 |
transcript.pyannote[3229].speaker |
SPEAKER_15 |
transcript.pyannote[3229].start |
13589.80596875 |
transcript.pyannote[3229].end |
13589.85659375 |
transcript.pyannote[3230].speaker |
SPEAKER_13 |
transcript.pyannote[3230].start |
13590.07596875 |
transcript.pyannote[3230].end |
13591.66221875 |
transcript.pyannote[3231].speaker |
SPEAKER_15 |
transcript.pyannote[3231].start |
13590.26159375 |
transcript.pyannote[3231].end |
13590.53159375 |
transcript.pyannote[3232].speaker |
SPEAKER_13 |
transcript.pyannote[3232].start |
13592.21909375 |
transcript.pyannote[3232].end |
13596.23534375 |
transcript.pyannote[3233].speaker |
SPEAKER_15 |
transcript.pyannote[3233].start |
13596.23534375 |
transcript.pyannote[3233].end |
13596.38721875 |
transcript.pyannote[3234].speaker |
SPEAKER_13 |
transcript.pyannote[3234].start |
13596.38721875 |
transcript.pyannote[3234].end |
13605.44909375 |
transcript.pyannote[3235].speaker |
SPEAKER_13 |
transcript.pyannote[3235].start |
13605.48284375 |
transcript.pyannote[3235].end |
13607.52471875 |
transcript.pyannote[3236].speaker |
SPEAKER_13 |
transcript.pyannote[3236].start |
13608.09846875 |
transcript.pyannote[3236].end |
13621.05846875 |
transcript.pyannote[3237].speaker |
SPEAKER_13 |
transcript.pyannote[3237].start |
13621.34534375 |
transcript.pyannote[3237].end |
13624.61909375 |
transcript.pyannote[3238].speaker |
SPEAKER_15 |
transcript.pyannote[3238].start |
13624.61909375 |
transcript.pyannote[3238].end |
13624.95659375 |
transcript.pyannote[3239].speaker |
SPEAKER_13 |
transcript.pyannote[3239].start |
13625.15909375 |
transcript.pyannote[3239].end |
13629.46221875 |
transcript.pyannote[3240].speaker |
SPEAKER_13 |
transcript.pyannote[3240].start |
13629.49596875 |
transcript.pyannote[3240].end |
13630.57596875 |
transcript.pyannote[3241].speaker |
SPEAKER_23 |
transcript.pyannote[3241].start |
13631.03159375 |
transcript.pyannote[3241].end |
13631.31846875 |
transcript.pyannote[3242].speaker |
SPEAKER_23 |
transcript.pyannote[3242].start |
13631.67284375 |
transcript.pyannote[3242].end |
13636.70159375 |
transcript.pyannote[3243].speaker |
SPEAKER_15 |
transcript.pyannote[3243].start |
13636.60034375 |
transcript.pyannote[3243].end |
13636.93784375 |
transcript.pyannote[3244].speaker |
SPEAKER_23 |
transcript.pyannote[3244].start |
13636.85346875 |
transcript.pyannote[3244].end |
13638.20346875 |
transcript.pyannote[3245].speaker |
SPEAKER_23 |
transcript.pyannote[3245].start |
13638.42284375 |
transcript.pyannote[3245].end |
13661.01846875 |
transcript.pyannote[3246].speaker |
SPEAKER_23 |
transcript.pyannote[3246].start |
13661.37284375 |
transcript.pyannote[3246].end |
13661.52471875 |
transcript.pyannote[3247].speaker |
SPEAKER_14 |
transcript.pyannote[3247].start |
13661.52471875 |
transcript.pyannote[3247].end |
13661.57534375 |
transcript.pyannote[3248].speaker |
SPEAKER_23 |
transcript.pyannote[3248].start |
13661.57534375 |
transcript.pyannote[3248].end |
13661.76096875 |
transcript.pyannote[3249].speaker |
SPEAKER_23 |
transcript.pyannote[3249].start |
13661.96346875 |
transcript.pyannote[3249].end |
13665.23721875 |
transcript.pyannote[3250].speaker |
SPEAKER_23 |
transcript.pyannote[3250].start |
13665.72659375 |
transcript.pyannote[3250].end |
13666.35096875 |
transcript.pyannote[3251].speaker |
SPEAKER_13 |
transcript.pyannote[3251].start |
13666.55346875 |
transcript.pyannote[3251].end |
13681.09971875 |
transcript.pyannote[3252].speaker |
SPEAKER_23 |
transcript.pyannote[3252].start |
13681.75784375 |
transcript.pyannote[3252].end |
13682.68596875 |
transcript.pyannote[3253].speaker |
SPEAKER_23 |
transcript.pyannote[3253].start |
13683.04034375 |
transcript.pyannote[3253].end |
13713.90471875 |
transcript.pyannote[3254].speaker |
SPEAKER_13 |
transcript.pyannote[3254].start |
13713.90471875 |
transcript.pyannote[3254].end |
13714.51221875 |
transcript.pyannote[3255].speaker |
SPEAKER_13 |
transcript.pyannote[3255].start |
13714.74846875 |
transcript.pyannote[3255].end |
13742.65971875 |
transcript.pyannote[3256].speaker |
SPEAKER_23 |
transcript.pyannote[3256].start |
13716.33471875 |
transcript.pyannote[3256].end |
13716.77346875 |
transcript.pyannote[3257].speaker |
SPEAKER_23 |
transcript.pyannote[3257].start |
13722.73034375 |
transcript.pyannote[3257].end |
13723.28721875 |
transcript.pyannote[3258].speaker |
SPEAKER_00 |
transcript.pyannote[3258].start |
13723.28721875 |
transcript.pyannote[3258].end |
13723.33784375 |
transcript.pyannote[3259].speaker |
SPEAKER_00 |
transcript.pyannote[3259].start |
13723.96221875 |
transcript.pyannote[3259].end |
13724.19846875 |
transcript.pyannote[3260].speaker |
SPEAKER_23 |
transcript.pyannote[3260].start |
13727.92784375 |
transcript.pyannote[3260].end |
13727.97846875 |
transcript.pyannote[3261].speaker |
SPEAKER_15 |
transcript.pyannote[3261].start |
13727.97846875 |
transcript.pyannote[3261].end |
13728.23159375 |
transcript.pyannote[3262].speaker |
SPEAKER_23 |
transcript.pyannote[3262].start |
13728.23159375 |
transcript.pyannote[3262].end |
13728.26534375 |
transcript.pyannote[3263].speaker |
SPEAKER_15 |
transcript.pyannote[3263].start |
13731.64034375 |
transcript.pyannote[3263].end |
13731.89346875 |
transcript.pyannote[3264].speaker |
SPEAKER_15 |
transcript.pyannote[3264].start |
13733.96909375 |
transcript.pyannote[3264].end |
13734.20534375 |
transcript.pyannote[3265].speaker |
SPEAKER_23 |
transcript.pyannote[3265].start |
13738.01909375 |
transcript.pyannote[3265].end |
13738.87971875 |
transcript.pyannote[3266].speaker |
SPEAKER_23 |
transcript.pyannote[3266].start |
13741.90034375 |
transcript.pyannote[3266].end |
13747.14846875 |
transcript.pyannote[3267].speaker |
SPEAKER_23 |
transcript.pyannote[3267].start |
13747.82346875 |
transcript.pyannote[3267].end |
13749.46034375 |
transcript.pyannote[3268].speaker |
SPEAKER_23 |
transcript.pyannote[3268].start |
13749.86534375 |
transcript.pyannote[3268].end |
13756.75034375 |
transcript.pyannote[3269].speaker |
SPEAKER_23 |
transcript.pyannote[3269].start |
13757.40846875 |
transcript.pyannote[3269].end |
13766.90909375 |
transcript.pyannote[3270].speaker |
SPEAKER_23 |
transcript.pyannote[3270].start |
13767.04409375 |
transcript.pyannote[3270].end |
13780.00409375 |
transcript.pyannote[3271].speaker |
SPEAKER_23 |
transcript.pyannote[3271].start |
13780.29096875 |
transcript.pyannote[3271].end |
13796.67659375 |
transcript.pyannote[3272].speaker |
SPEAKER_15 |
transcript.pyannote[3272].start |
13780.89846875 |
transcript.pyannote[3272].end |
13783.00784375 |
transcript.pyannote[3273].speaker |
SPEAKER_23 |
transcript.pyannote[3273].start |
13796.87909375 |
transcript.pyannote[3273].end |
13802.80221875 |
transcript.pyannote[3274].speaker |
SPEAKER_23 |
transcript.pyannote[3274].start |
13803.29159375 |
transcript.pyannote[3274].end |
13819.79534375 |
transcript.pyannote[3275].speaker |
SPEAKER_13 |
transcript.pyannote[3275].start |
13806.64971875 |
transcript.pyannote[3275].end |
13810.78409375 |
transcript.pyannote[3276].speaker |
SPEAKER_13 |
transcript.pyannote[3276].start |
13811.81346875 |
transcript.pyannote[3276].end |
13812.50534375 |
transcript.pyannote[3277].speaker |
SPEAKER_13 |
transcript.pyannote[3277].start |
13813.68659375 |
transcript.pyannote[3277].end |
13813.90596875 |
transcript.pyannote[3278].speaker |
SPEAKER_13 |
transcript.pyannote[3278].start |
13817.77034375 |
transcript.pyannote[3278].end |
13826.83221875 |
transcript.pyannote[3279].speaker |
SPEAKER_23 |
transcript.pyannote[3279].start |
13825.16159375 |
transcript.pyannote[3279].end |
13831.11846875 |
transcript.pyannote[3280].speaker |
SPEAKER_13 |
transcript.pyannote[3280].start |
13827.27096875 |
transcript.pyannote[3280].end |
13827.60846875 |
transcript.pyannote[3281].speaker |
SPEAKER_13 |
transcript.pyannote[3281].start |
13829.73471875 |
transcript.pyannote[3281].end |
13830.00471875 |
transcript.pyannote[3282].speaker |
SPEAKER_23 |
transcript.pyannote[3282].start |
13831.33784375 |
transcript.pyannote[3282].end |
13832.72159375 |
transcript.pyannote[3283].speaker |
SPEAKER_13 |
transcript.pyannote[3283].start |
13832.72159375 |
transcript.pyannote[3283].end |
13846.64346875 |
transcript.pyannote[3284].speaker |
SPEAKER_23 |
transcript.pyannote[3284].start |
13833.39659375 |
transcript.pyannote[3284].end |
13833.53159375 |
transcript.pyannote[3285].speaker |
SPEAKER_15 |
transcript.pyannote[3285].start |
13838.76284375 |
transcript.pyannote[3285].end |
13838.77971875 |
transcript.pyannote[3286].speaker |
SPEAKER_23 |
transcript.pyannote[3286].start |
13838.77971875 |
transcript.pyannote[3286].end |
13839.16784375 |
transcript.pyannote[3287].speaker |
SPEAKER_23 |
transcript.pyannote[3287].start |
13840.50096875 |
transcript.pyannote[3287].end |
13841.04096875 |
transcript.pyannote[3288].speaker |
SPEAKER_15 |
transcript.pyannote[3288].start |
13842.71159375 |
transcript.pyannote[3288].end |
13843.25159375 |
transcript.pyannote[3289].speaker |
SPEAKER_23 |
transcript.pyannote[3289].start |
13846.94721875 |
transcript.pyannote[3289].end |
13850.08596875 |
transcript.pyannote[3290].speaker |
SPEAKER_23 |
transcript.pyannote[3290].start |
13850.96346875 |
transcript.pyannote[3290].end |
13864.07534375 |
transcript.pyannote[3291].speaker |
SPEAKER_23 |
transcript.pyannote[3291].start |
13864.53096875 |
transcript.pyannote[3291].end |
13873.37346875 |
transcript.pyannote[3292].speaker |
SPEAKER_23 |
transcript.pyannote[3292].start |
13873.57596875 |
transcript.pyannote[3292].end |
13895.96909375 |
transcript.pyannote[3293].speaker |
SPEAKER_13 |
transcript.pyannote[3293].start |
13895.44596875 |
transcript.pyannote[3293].end |
13907.68034375 |
transcript.pyannote[3294].speaker |
SPEAKER_23 |
transcript.pyannote[3294].start |
13896.30659375 |
transcript.pyannote[3294].end |
13896.40784375 |
transcript.pyannote[3295].speaker |
SPEAKER_23 |
transcript.pyannote[3295].start |
13901.08221875 |
transcript.pyannote[3295].end |
13903.49534375 |
transcript.pyannote[3296].speaker |
SPEAKER_23 |
transcript.pyannote[3296].start |
13908.33846875 |
transcript.pyannote[3296].end |
13911.93284375 |
transcript.pyannote[3297].speaker |
SPEAKER_23 |
transcript.pyannote[3297].start |
13912.21971875 |
transcript.pyannote[3297].end |
13918.29471875 |
transcript.pyannote[3298].speaker |
SPEAKER_13 |
transcript.pyannote[3298].start |
13918.19346875 |
transcript.pyannote[3298].end |
13926.07409375 |
transcript.pyannote[3299].speaker |
SPEAKER_23 |
transcript.pyannote[3299].start |
13924.21784375 |
transcript.pyannote[3299].end |
13927.28909375 |
transcript.pyannote[3300].speaker |
SPEAKER_23 |
transcript.pyannote[3300].start |
13927.30596875 |
transcript.pyannote[3300].end |
13933.80284375 |
transcript.pyannote[3301].speaker |
SPEAKER_13 |
transcript.pyannote[3301].start |
13929.41534375 |
transcript.pyannote[3301].end |
13930.30971875 |
transcript.pyannote[3302].speaker |
SPEAKER_23 |
transcript.pyannote[3302].start |
13933.95471875 |
transcript.pyannote[3302].end |
13940.56971875 |
transcript.pyannote[3303].speaker |
SPEAKER_13 |
transcript.pyannote[3303].start |
13936.70534375 |
transcript.pyannote[3303].end |
13937.92034375 |
transcript.pyannote[3304].speaker |
SPEAKER_13 |
transcript.pyannote[3304].start |
13938.94971875 |
transcript.pyannote[3304].end |
13945.73346875 |
transcript.pyannote[3305].speaker |
SPEAKER_23 |
transcript.pyannote[3305].start |
13942.02096875 |
transcript.pyannote[3305].end |
13943.18534375 |
transcript.pyannote[3306].speaker |
SPEAKER_23 |
transcript.pyannote[3306].start |
13943.45534375 |
transcript.pyannote[3306].end |
13944.23159375 |
transcript.pyannote[3307].speaker |
SPEAKER_23 |
transcript.pyannote[3307].start |
13945.73346875 |
transcript.pyannote[3307].end |
13946.12159375 |
transcript.pyannote[3308].speaker |
SPEAKER_13 |
transcript.pyannote[3308].start |
13946.12159375 |
transcript.pyannote[3308].end |
13952.61846875 |
transcript.pyannote[3309].speaker |
SPEAKER_23 |
transcript.pyannote[3309].start |
13950.55971875 |
transcript.pyannote[3309].end |
13951.13346875 |
transcript.pyannote[3310].speaker |
SPEAKER_20 |
transcript.pyannote[3310].start |
13951.13346875 |
transcript.pyannote[3310].end |
13952.77034375 |
transcript.pyannote[3311].speaker |
SPEAKER_20 |
transcript.pyannote[3311].start |
13954.59284375 |
transcript.pyannote[3311].end |
13955.58846875 |
transcript.pyannote[3312].speaker |
SPEAKER_20 |
transcript.pyannote[3312].start |
13955.87534375 |
transcript.pyannote[3312].end |
13959.14909375 |
transcript.pyannote[3313].speaker |
SPEAKER_20 |
transcript.pyannote[3313].start |
13959.84096875 |
transcript.pyannote[3313].end |
13974.79221875 |
transcript.pyannote[3314].speaker |
SPEAKER_20 |
transcript.pyannote[3314].start |
13975.29846875 |
transcript.pyannote[3314].end |
13978.09971875 |
transcript.pyannote[3315].speaker |
SPEAKER_20 |
transcript.pyannote[3315].start |
13978.53846875 |
transcript.pyannote[3315].end |
13980.76596875 |
transcript.pyannote[3316].speaker |
SPEAKER_20 |
transcript.pyannote[3316].start |
13981.17096875 |
transcript.pyannote[3316].end |
13982.36909375 |
transcript.pyannote[3317].speaker |
SPEAKER_20 |
transcript.pyannote[3317].start |
13983.07784375 |
transcript.pyannote[3317].end |
13985.96346875 |
transcript.pyannote[3318].speaker |
SPEAKER_20 |
transcript.pyannote[3318].start |
13987.66784375 |
transcript.pyannote[3318].end |
13988.81534375 |
transcript.pyannote[3319].speaker |
SPEAKER_20 |
transcript.pyannote[3319].start |
13989.62534375 |
transcript.pyannote[3319].end |
13994.99159375 |
transcript.pyannote[3320].speaker |
SPEAKER_20 |
transcript.pyannote[3320].start |
13995.71721875 |
transcript.pyannote[3320].end |
13998.58596875 |
transcript.pyannote[3321].speaker |
SPEAKER_14 |
transcript.pyannote[3321].start |
13996.03784375 |
transcript.pyannote[3321].end |
13996.89846875 |
transcript.pyannote[3322].speaker |
SPEAKER_20 |
transcript.pyannote[3322].start |
13999.10909375 |
transcript.pyannote[3322].end |
14000.37471875 |
transcript.pyannote[3323].speaker |
SPEAKER_20 |
transcript.pyannote[3323].start |
14001.26909375 |
transcript.pyannote[3323].end |
14005.03221875 |
transcript.pyannote[3324].speaker |
SPEAKER_20 |
transcript.pyannote[3324].start |
14005.38659375 |
transcript.pyannote[3324].end |
14006.51721875 |
transcript.pyannote[3325].speaker |
SPEAKER_20 |
transcript.pyannote[3325].start |
14007.04034375 |
transcript.pyannote[3325].end |
14008.98096875 |
transcript.pyannote[3326].speaker |
SPEAKER_20 |
transcript.pyannote[3326].start |
14010.02721875 |
transcript.pyannote[3326].end |
14012.32221875 |
transcript.pyannote[3327].speaker |
SPEAKER_20 |
transcript.pyannote[3327].start |
14013.50346875 |
transcript.pyannote[3327].end |
14015.62971875 |
transcript.pyannote[3328].speaker |
SPEAKER_20 |
transcript.pyannote[3328].start |
14015.79846875 |
transcript.pyannote[3328].end |
14018.17784375 |
transcript.pyannote[3329].speaker |
SPEAKER_20 |
transcript.pyannote[3329].start |
14018.39721875 |
transcript.pyannote[3329].end |
14020.35471875 |
transcript.pyannote[3330].speaker |
SPEAKER_20 |
transcript.pyannote[3330].start |
14020.82721875 |
transcript.pyannote[3330].end |
14023.00409375 |
transcript.pyannote[3331].speaker |
SPEAKER_20 |
transcript.pyannote[3331].start |
14023.39221875 |
transcript.pyannote[3331].end |
14025.23159375 |
transcript.pyannote[3332].speaker |
SPEAKER_20 |
transcript.pyannote[3332].start |
14026.00784375 |
transcript.pyannote[3332].end |
14028.38721875 |
transcript.pyannote[3333].speaker |
SPEAKER_20 |
transcript.pyannote[3333].start |
14028.69096875 |
transcript.pyannote[3333].end |
14029.31534375 |
transcript.pyannote[3334].speaker |
SPEAKER_20 |
transcript.pyannote[3334].start |
14030.53034375 |
transcript.pyannote[3334].end |
14030.83409375 |
transcript.pyannote[3335].speaker |
SPEAKER_19 |
transcript.pyannote[3335].start |
14036.85846875 |
transcript.pyannote[3335].end |
14043.82784375 |
transcript.pyannote[3336].speaker |
SPEAKER_20 |
transcript.pyannote[3336].start |
14041.16159375 |
transcript.pyannote[3336].end |
14043.84471875 |
transcript.pyannote[3337].speaker |
SPEAKER_19 |
transcript.pyannote[3337].start |
14043.84471875 |
transcript.pyannote[3337].end |
14043.92909375 |
transcript.pyannote[3338].speaker |
SPEAKER_20 |
transcript.pyannote[3338].start |
14043.92909375 |
transcript.pyannote[3338].end |
14043.94596875 |
transcript.pyannote[3339].speaker |
SPEAKER_20 |
transcript.pyannote[3339].start |
14044.35096875 |
transcript.pyannote[3339].end |
14061.00659375 |
transcript.pyannote[3340].speaker |
SPEAKER_14 |
transcript.pyannote[3340].start |
14051.03346875 |
transcript.pyannote[3340].end |
14051.15159375 |
transcript.pyannote[3341].speaker |
SPEAKER_20 |
transcript.pyannote[3341].start |
14062.01909375 |
transcript.pyannote[3341].end |
14063.72346875 |
transcript.pyannote[3342].speaker |
SPEAKER_20 |
transcript.pyannote[3342].start |
14064.12846875 |
transcript.pyannote[3342].end |
14064.53346875 |
transcript.pyannote[3343].speaker |
SPEAKER_20 |
transcript.pyannote[3343].start |
14065.47846875 |
transcript.pyannote[3343].end |
14067.72284375 |
transcript.pyannote[3344].speaker |
SPEAKER_20 |
transcript.pyannote[3344].start |
14068.22909375 |
transcript.pyannote[3344].end |
14070.96284375 |
transcript.pyannote[3345].speaker |
SPEAKER_20 |
transcript.pyannote[3345].start |
14071.11471875 |
transcript.pyannote[3345].end |
14074.54034375 |
transcript.pyannote[3346].speaker |
SPEAKER_19 |
transcript.pyannote[3346].start |
14071.75596875 |
transcript.pyannote[3346].end |
14077.03784375 |
transcript.pyannote[3347].speaker |
SPEAKER_20 |
transcript.pyannote[3347].start |
14077.03784375 |
transcript.pyannote[3347].end |
14085.76221875 |
transcript.pyannote[3348].speaker |
SPEAKER_19 |
transcript.pyannote[3348].start |
14078.65784375 |
transcript.pyannote[3348].end |
14078.91096875 |
transcript.pyannote[3349].speaker |
SPEAKER_20 |
transcript.pyannote[3349].start |
14085.91409375 |
transcript.pyannote[3349].end |
14087.41596875 |
transcript.pyannote[3350].speaker |
SPEAKER_19 |
transcript.pyannote[3350].start |
14086.18409375 |
transcript.pyannote[3350].end |
14087.34846875 |
transcript.pyannote[3351].speaker |
SPEAKER_19 |
transcript.pyannote[3351].start |
14087.41596875 |
transcript.pyannote[3351].end |
14089.03596875 |
transcript.pyannote[3352].speaker |
SPEAKER_20 |
transcript.pyannote[3352].start |
14089.03596875 |
transcript.pyannote[3352].end |
14089.27221875 |
transcript.pyannote[3353].speaker |
SPEAKER_20 |
transcript.pyannote[3353].start |
14090.08221875 |
transcript.pyannote[3353].end |
14090.97659375 |
transcript.pyannote[3354].speaker |
SPEAKER_20 |
transcript.pyannote[3354].start |
14093.37284375 |
transcript.pyannote[3354].end |
14094.21659375 |
transcript.pyannote[3355].speaker |
SPEAKER_20 |
transcript.pyannote[3355].start |
14094.53721875 |
transcript.pyannote[3355].end |
14097.13596875 |
transcript.pyannote[3356].speaker |
SPEAKER_20 |
transcript.pyannote[3356].start |
14097.62534375 |
transcript.pyannote[3356].end |
14098.21596875 |
transcript.pyannote[3357].speaker |
SPEAKER_20 |
transcript.pyannote[3357].start |
14098.65471875 |
transcript.pyannote[3357].end |
14104.24034375 |
transcript.pyannote[3358].speaker |
SPEAKER_20 |
transcript.pyannote[3358].start |
14104.74659375 |
transcript.pyannote[3358].end |
14114.51721875 |
transcript.pyannote[3359].speaker |
SPEAKER_20 |
transcript.pyannote[3359].start |
14115.37784375 |
transcript.pyannote[3359].end |
14118.48284375 |
transcript.pyannote[3360].speaker |
SPEAKER_20 |
transcript.pyannote[3360].start |
14122.16159375 |
transcript.pyannote[3360].end |
14122.70159375 |
transcript.pyannote[3361].speaker |
SPEAKER_20 |
transcript.pyannote[3361].start |
14127.30846875 |
transcript.pyannote[3361].end |
14129.23221875 |
transcript.pyannote[3362].speaker |
SPEAKER_20 |
transcript.pyannote[3362].start |
14129.55284375 |
transcript.pyannote[3362].end |
14130.91971875 |
transcript.pyannote[3363].speaker |
SPEAKER_20 |
transcript.pyannote[3363].start |
14131.67909375 |
transcript.pyannote[3363].end |
14134.26096875 |
transcript.pyannote[3364].speaker |
SPEAKER_20 |
transcript.pyannote[3364].start |
14134.61534375 |
transcript.pyannote[3364].end |
14137.28159375 |
transcript.pyannote[3365].speaker |
SPEAKER_20 |
transcript.pyannote[3365].start |
14138.05784375 |
transcript.pyannote[3365].end |
14140.55534375 |
transcript.pyannote[3366].speaker |
SPEAKER_20 |
transcript.pyannote[3366].start |
14141.93909375 |
transcript.pyannote[3366].end |
14143.99784375 |
transcript.pyannote[3367].speaker |
SPEAKER_20 |
transcript.pyannote[3367].start |
14144.48721875 |
transcript.pyannote[3367].end |
14145.53346875 |
transcript.pyannote[3368].speaker |
SPEAKER_20 |
transcript.pyannote[3368].start |
14145.87096875 |
transcript.pyannote[3368].end |
14149.80284375 |
transcript.pyannote[3369].speaker |
SPEAKER_20 |
transcript.pyannote[3369].start |
14150.02221875 |
transcript.pyannote[3369].end |
14150.03909375 |
transcript.pyannote[3370].speaker |
SPEAKER_20 |
transcript.pyannote[3370].start |
14150.07284375 |
transcript.pyannote[3370].end |
14152.51971875 |
transcript.pyannote[3371].speaker |
SPEAKER_20 |
transcript.pyannote[3371].start |
14152.84034375 |
transcript.pyannote[3371].end |
14155.65846875 |
transcript.pyannote[3372].speaker |
SPEAKER_20 |
transcript.pyannote[3372].start |
14156.19846875 |
transcript.pyannote[3372].end |
14157.81846875 |
transcript.whisperx[0].start |
1881.898 |
transcript.whisperx[0].end |
1895.094 |
transcript.whisperx[0].text |
向委員報告請主任秘書報告出席委員人數報告委員會出席委員與主法定人數現在開始開會請議事人員宣讀上一次的會議議事錄 |
transcript.whisperx[1].start |
1900.083 |
transcript.whisperx[1].end |
1928.414 |
transcript.whisperx[1].text |
立法院第十一屆第三會期財政委員會第一次全體委員會議事錄時間中華民國一百一十四年三月五日星期三九十二分至九十四分地點全巡樓九樓大禮堂出席委員鍾嘉斌委員等14人主席林委員失明報告事項一本院秘書長韓衛第十一屆第三會期本院各委員會召集委員選舉相關事宜業經本院人事處提報本院第十一屆第三會期第一次會議決定照案通過再案 |
transcript.whisperx[2].start |
1928.954 |
transcript.whisperx[2].end |
1955.953 |
transcript.whisperx[2].text |
二 宣讀本會期本會召集委員選舉而明冊選舉事項選舉立法院第十一屆第三會期本會召集委員一立法院各委員會召集委員選舉辦法第五及第八條召集委員之選舉以無記名單記法票選之但經各黨團之書面同意亦得以推選方式行之主席宣告推選賴委員事把及賴委員會員為立法院第十一屆第三會期財政委員會召集委員散會宣讀完畢 |
transcript.whisperx[3].start |
1958.124 |
transcript.whisperx[3].end |
1970.817 |
transcript.whisperx[3].text |
謝謝 那麼現在有陳議政委員 吳秉立委員我們也打法定的可以決議的人數請問各位委員對於上次議事錄有無疑沒有 我們就議事錄確定請議事人員宣讀經歷的議程 |
transcript.whisperx[4].start |
1979.534 |
transcript.whisperx[4].end |
1995.652 |
transcript.whisperx[4].text |
邀請中央銀行楊總裁金融率所屬單位主管暨財經資訊股份有限公司董事長列席業務報告並被質詢宣讀完畢經過議程安排邀請中央銀行楊總裁進行業務報告現在請楊總裁進行業務報告請 |
transcript.whisperx[5].start |
2012.219 |
transcript.whisperx[5].end |
2018.707 |
transcript.whisperx[5].text |
主席還有委員各位媒體小姐先生大家早 |
transcript.whisperx[6].start |
2025.819 |
transcript.whisperx[6].end |
2042.521 |
transcript.whisperx[6].text |
今天呈邀前來貴委員會報告本行業務自感榮幸本行經營目標在於促進金融穩定健全銀行業務維護對內對外幣值穩定兼顧協助經濟發展以下請就國內外經濟金融情勢以及大院參議會起以來 |
transcript.whisperx[7].start |
2043.482 |
transcript.whisperx[7].end |
2064.922 |
transcript.whisperx[7].text |
本行執行貨幣信用及外交政策等主要業務提出報告 敬請會事指教請寬開第二頁 國際經濟金融情勢一 美國川普總統經濟政策影響效果之不確定性升高恐不利全球經濟成長且推升通膨 |
transcript.whisperx[8].start |
2066.343 |
transcript.whisperx[8].end |
2077.877 |
transcript.whisperx[8].text |
掛五一 上年九月以來國際機構大抵程逐月下調本年全球經濟成長預測值同時上調全球通膨率預測值之趨勢第三頁 掛五二 |
transcript.whisperx[9].start |
2085.445 |
transcript.whisperx[9].end |
2104.77 |
transcript.whisperx[9].text |
S&P国宝本年2月预测本年全球经济成长2.6%低于上年9月预测的2.73%另外在2月它的预测对本年的全球通膨率是3.15%也高于上年9月预测的3.31% |
transcript.whisperx[10].start |
2106.61 |
transcript.whisperx[10].end |
2124.619 |
transcript.whisperx[10].text |
第五頁二不確定性上升影響投資信心金融市場川普交易行情降溫各位可以翻開第六頁各位可以看到2024年的9月美國實驗期公債殖利率是3.78 |
transcript.whisperx[11].start |
2126.4 |
transcript.whisperx[11].end |
2144.187 |
transcript.whisperx[11].text |
美元指數是100.78美國納斯達克指數是18189美國的S&P500指數是5762但是它在歷史新高在年初的時候它是創歷史的新高美國10年期公債是4.79美元指數109.96從這個表可以看出 |
transcript.whisperx[12].start |
2150.29 |
transcript.whisperx[12].end |
2167.589 |
transcript.whisperx[12].text |
事實上從年初以來,川普的交易樂觀行情是降溫的第七頁,川普2.0政策進一步加劇保護主義,恐使全球化更趨向零碎化 |
transcript.whisperx[13].start |
2168.789 |
transcript.whisperx[13].end |
2181.222 |
transcript.whisperx[13].text |
第一,全球化親屬美國利益及國際影響力,美國由全球化的推動者轉為保護主義者。第二,從華盛頓共識推動貿易自由化,到2025年,它是保護主義加劇。 |
transcript.whisperx[14].start |
2190.992 |
transcript.whisperx[14].end |
2218.645 |
transcript.whisperx[14].text |
第九月 川普1.0政策效果未達預期川普2.0擴大關稅政策力道強化美國自主生產能力並防堵部分國家繞道取得優惠第十月 川普2.0擴大關稅政策力道保護主義加劇它有多重的目標第一個是邊境的安全第二個是國安的戰略第三個是公平交易 |
transcript.whisperx[15].start |
2220.765 |
transcript.whisperx[15].end |
2229.521 |
transcript.whisperx[15].text |
另外,川普2.0擴大關稅政策,藉此強化重要關鍵物資在美國生產,並防堵過去席產地資政策破口。 |
transcript.whisperx[16].start |
2233.786 |
transcript.whisperx[16].end |
2255.945 |
transcript.whisperx[16].text |
第十二月各位可以參考美國與加冒中戶關稅政策對各國經濟成長力跟通膨的影響第十三月這個表也請各位來參考第十四月是費的暫停降息ECB持續降息循環BOJ持續升息不滑人行 |
transcript.whisperx[17].start |
2257.226 |
transcript.whisperx[17].end |
2272.213 |
transcript.whisperx[17].text |
貨幣政策保持寬鬆全球經濟第15月全球經濟面臨諸多的不確定性因素第16月請各位參考第17月預期呢第17月國內經濟金融情勢預期本年台灣經濟成長動能延續2024年台灣的經濟成長是4.592025年的主力總數的預測是3.14 |
transcript.whisperx[18].start |
2284.039 |
transcript.whisperx[18].end |
2304.172 |
transcript.whisperx[18].text |
那國內外主要機構對台灣本年經濟成長率預測平均是3.04請各位分開第20月上年通膨率持續的下降預期本年續降至2%左右第23月2 |
transcript.whisperx[19].start |
2308.628 |
transcript.whisperx[19].end |
2330.936 |
transcript.whisperx[19].text |
國內外主要機構對本年台灣CPI年增率預測值介於1.70到2.30平均是1.95那如果說我們考量台鐵票價及水電等公用事業條狀的影響那麼本行對本年CPI的年增率預測值可能會列為上修27月 |
transcript.whisperx[20].start |
2336.158 |
transcript.whisperx[20].end |
2362.77 |
transcript.whisperx[20].text |
一本行主要業務的說明上年12月本行維持政策利益不變有助整體經濟金融穩健的發展二十八月二本行根據執行選擇性信任管制措施二十九月萬無三本行信任管制措施三個目的之成效均逐漸的顯現三十月一 |
transcript.whisperx[21].start |
2363.49 |
transcript.whisperx[21].end |
2382.321 |
transcript.whisperx[21].text |
房市投機需求減少 價格漲勢縮減 民眾抗戰房價的預期心理趨緩31 無自用自宅購屋貸款比例上升32 不動產貸款集中度及不動產貸款增幅均趨降 |
transcript.whisperx[22].start |
2383.627 |
transcript.whisperx[22].end |
2404.162 |
transcript.whisperx[22].text |
三十四月掛五四本行積極透過專案檢查督促金融機構落實本行不動產貸款規範三十五月五本行持續精進本行不動產未來持續推動本行不動產信用管制措施 |
transcript.whisperx[23].start |
2406.101 |
transcript.whisperx[23].end |
2431.954 |
transcript.whisperx[23].text |
36月 新台幣對美元貶值為相對主要貨幣 匯率穩定告一 上年國內會社美元需求大於供給本行禁賣匯164.2億美元37月 上年10月以來 市場預期川普當選 美國總統機率上揚市場新起川普交易 受此影響 新台幣對美元成貶值為貶幅其中 |
transcript.whisperx[24].start |
2436.833 |
transcript.whisperx[24].end |
2445.057 |
transcript.whisperx[24].text |
四十月掛五三新台幣與其他主要貨幣對美元表現相比表現居中新台幣波動幅度亦相對穩定 |
transcript.whisperx[25].start |
2447.114 |
transcript.whisperx[25].end |
2466.226 |
transcript.whisperx[25].text |
事實二月掛無事本年二月底本行外存底較上年底增加主要反映是本行外存底投資應用的效率本行的外存底是三月外存底是5767億那外幣流動性是6942億事實四月是國內重要資物系統的營運概況 |
transcript.whisperx[26].start |
2475.726 |
transcript.whisperx[26].end |
2489.332 |
transcript.whisperx[26].text |
46月5本行持續推動CPTC的研究計畫結餘以上僅就國內外國內外經濟金融情勢與本行主要業務提出簡料報告至於本行調節金融通貨發行 |
transcript.whisperx[27].start |
2490.572 |
transcript.whisperx[27].end |
2512.005 |
transcript.whisperx[27].text |
外匯管理及經理國庫等業務概況則置一戶入進行著參本行捐付促進金融穩定健全營養業務維護對內及對外壁紙穩定兼顧協助經濟發展之法定職責隨時密切注意國內外經濟金融其實發展妥適應用各種資格工具以達政策目標本行業務 |
transcript.whisperx[28].start |
2512.925 |
transcript.whisperx[28].end |
2539.024 |
transcript.whisperx[28].text |
促成各位委員頂住與支持僅藉此機會表達衷心感謝之意今後仍請各位委員實事指教 謝謝好 現在補充介紹今天現在在場的立委以及政府的官員首先介紹林德武委員 |
transcript.whisperx[29].start |
2541.264 |
transcript.whisperx[29].end |
2541.444 |
transcript.whisperx[29].text |
吳秉瑞委員 |
transcript.whisperx[30].start |
2571.397 |
transcript.whisperx[30].end |
2572.718 |
transcript.whisperx[30].text |
秘書處的梁處長以及會計處的郭處長資訊處的陳處長 |
transcript.whisperx[31].start |
2582.045 |
transcript.whisperx[31].end |
2602.217 |
transcript.whisperx[31].text |
人事室的張主任 法務室的謝主任以及中央印製廠的林總經理 中央造幣廠的葉廠長以及財經資訊公司的林董事長好 那麼向委會報告 我們現在開始詢答 |
transcript.whisperx[32].start |
2604.194 |
transcript.whisperx[32].end |
2625.209 |
transcript.whisperx[32].text |
訓導之前做以下的宣告每位出席委員發言的時間八分鐘必要的時候得延長兩分鐘每位的列席委員發言五分鐘今天早上十點鐘截止發言登記現已登記的順序請登記第一號的第一位的林德武委員 |
transcript.whisperx[33].start |
2639.509 |
transcript.whisperx[33].end |
2651.093 |
transcript.whisperx[33].text |
謝謝主席還有這個與會的委員還有這個楊總裁我們各單位的主管是不是也請楊總裁那請楊總裁 |
transcript.whisperx[34].start |
2658.917 |
transcript.whisperx[34].end |
2683.682 |
transcript.whisperx[34].text |
李委員長總裁你好是總裁我想下個禮拜四要召開第一季的禮監事會那有媒體報導四月電價面臨調漲的壓力那央行可能會出現預防性的升息的壓力總裁上個禮拜行政院公布二月消費者物價指數CPI年增率百分之1.58 |
transcript.whisperx[35].start |
2685.962 |
transcript.whisperx[35].end |
2702.755 |
transcript.whisperx[35].text |
除了征服創近四年新低的趨勢之外主計總數更表示目前的物價情勢相對的平穩那我請問總裁如果最近調漲電價你認為對消費者物價指數有什麼影響 |
transcript.whisperx[36].start |
2711.145 |
transcript.whisperx[36].end |
2732.509 |
transcript.whisperx[36].text |
電價如果說根據以往的一個他調整的弧度還有就是說他對CPI的影響來講的話如果說根據前幾波的一個調整的一個弧度那對CPI的一個影響會有影響但是不會影響不大是吧對影響不大 |
transcript.whisperx[37].start |
2734.569 |
transcript.whisperx[37].end |
2756.542 |
transcript.whisperx[37].text |
總裁因為電價調漲因素會不會成為央行這次決定升息與火的催化劑會不會我想第一個就是說是由我們的理事來討論這個議題不過我們如果說看到我們目前的一個物價算是平穩所以說你認為不會影響還是一樣 |
transcript.whisperx[38].start |
2761.281 |
transcript.whisperx[38].end |
2789.678 |
transcript.whisperx[38].text |
原則我想這個還是要因為下個禮拜四所以這個會討論這個跟電價完全沒有關係到目前為止因為電價是要四月份不過就是說四月份但是有一些預期的心理基本上如果說我們看趨勢主計總會看的那個趨勢是慢慢的是在下來的所以去年你看到2.18 |
transcript.whisperx[39].start |
2790.839 |
transcript.whisperx[39].end |
2810.21 |
transcript.whisperx[39].text |
那1月2月的2.12平均2.12但是呢我們的核心的CPI呢是在2%以下已經是幾年都是2%以下那個總裁又或者目前央行考量升息還必須有其他的這個成就條件我請總裁 |
transcript.whisperx[40].start |
2811.491 |
transcript.whisperx[40].end |
2830.553 |
transcript.whisperx[40].text |
你來述明這些理由好不好是啦 我想主要的中央銀行到目前為止我們還是看第一個是通膨跟通膨預期那第二個看看其他主要央行他的一個調整貨幣政策的調整的一個情況 |
transcript.whisperx[41].start |
2831.614 |
transcript.whisperx[41].end |
2851.475 |
transcript.whisperx[41].text |
第三個就是說也要看國際的經濟金融的情況是怎麼樣那當然我們台灣的一個目前的一個經濟的發展情況我們也要考量那這個都是我們要考量升息調整貨幣政策的一個主要參考的議案這樣齁總裁 |
transcript.whisperx[42].start |
2853.197 |
transcript.whisperx[42].end |
2875.475 |
transcript.whisperx[42].text |
美國聯準會主席鮑威爾指出儘管市場普遍預期FED可能會在2025年內降息但他說這一決策不會基於一時的市場波動或政策的猜測而是依賴更為清晰的數據和未來經濟的發展那我請問總裁 |
transcript.whisperx[43].start |
2879.358 |
transcript.whisperx[43].end |
2893.137 |
transcript.whisperx[43].text |
那你認為目前國內貨幣政策觀察的重要指標是什麼我剛剛也是在跟委員報告我們觀察的指標主要還是通膨還有通膨的預計 |
transcript.whisperx[44].start |
2895.7 |
transcript.whisperx[44].end |
2922.586 |
transcript.whisperx[44].text |
那還有就是說整個全球的經濟金融的情況是怎麼樣那當然我們也要考量到今年我們的經濟成長是怎麼樣特別是在川普2.0出來了以後他的一個不確定性對整個全球經濟金融的影響是怎麼樣這個是我們必須要考量的那我請問要決定升息或降息央行應該採取哪種方式 |
transcript.whisperx[45].start |
2925.544 |
transcript.whisperx[45].end |
2947.622 |
transcript.whisperx[45].text |
我想呢升息降息呢主要的還是就是說我們的政策利率看要不要調整啦這樣喔是啊對啊就是看看我們的我們的discount rate我們的政策利率要不要調啊要不要調整啊主要的還是這樣總裁是就鮑爾的看法本席認為美國聯準會也十分審慎評估國內外整體的現況來決定升 |
transcript.whisperx[46].start |
2953.166 |
transcript.whisperx[46].end |
2974.082 |
transcript.whisperx[46].text |
降息 余火是不是升或降但是從美國總統川普發動關稅戰的範圍擴大美股也已經出現可能反應經濟衰退的持續大跌那總裁川普上任兩個月從上月20號 |
transcript.whisperx[47].start |
2975.843 |
transcript.whisperx[47].end |
3000.372 |
transcript.whisperx[47].text |
開始到現在美國日本韓國啊股市都出現相當大的跌幅台股也從近期的高點兩萬三千多點下跌到兩萬一千多點那請問總裁這是不是關稅戰導致台股大盤提前來反映你認為呢對那個委員講得不錯不過我認為就是說 |
transcript.whisperx[48].start |
3004.634 |
transcript.whisperx[48].end |
3029.791 |
transcript.whisperx[48].text |
川普我們在我們的報告第六頁這邊也有談到了事實上現在是一個川普的行情慢慢的降溫慢慢的降溫那所以呢美國的股市在做一個collection因為他太高了那台灣的股市全球的股市也因為受到川普2.0不確定性的一個影響所以現在都是在做 |
transcript.whisperx[49].start |
3030.732 |
transcript.whisperx[49].end |
3049.633 |
transcript.whisperx[49].text |
所以說我們也受到衝擊我們也受到衝擊不過呢到目前為止呢是稍微是回復到他九月份那個時候是一直一直衝高嘛那現在是回檔所以也就是說回復到九月以前的那個水準啦 |
transcript.whisperx[50].start |
3050.174 |
transcript.whisperx[50].end |
3070.093 |
transcript.whisperx[50].text |
所以不是說它的correction是非常的大好像也沒有總裁國際股市出現一個月的跌勢那你認為這是不是代表未來整個經濟衰退的信號已經出現了我個人是當然現在好像是市場是瀰漫的這樣的一個看法 |
transcript.whisperx[51].start |
3070.733 |
transcript.whisperx[51].end |
3090.732 |
transcript.whisperx[51].text |
不過呢 我也覺得這是還是一個回檔啦回檔就像我們第六頁這邊所表達的事實上它是一個回檔那你認為這是不是預期心理下的恐慌性的下跌對 應該是啦也有一點就是它的恐慌它不確定性的這個恐慌是上升的 |
transcript.whisperx[52].start |
3091.252 |
transcript.whisperx[52].end |
3092.493 |
transcript.whisperx[52].text |
美國總統川普表示美國經濟正面臨過渡期 |
transcript.whisperx[53].start |
3108.226 |
transcript.whisperx[53].end |
3134.866 |
transcript.whisperx[53].text |
如果以外界來解讀那川普開打關稅戰觸發整個全球經濟的衰退的可能性應該不小那我請問總裁全球經濟衰退你認為美國難道可以獨善其身嗎你認為我們的報告這邊我們是引用S&P Global它的一個預測那基本上它的預測都認為說 |
transcript.whisperx[54].start |
3137.227 |
transcript.whisperx[54].end |
3164.268 |
transcript.whisperx[54].text |
川普的2.0會導致全球的經濟會下降但是他對美國倒是他總覺得美國的經濟是還有韌性的所以說我要請教總裁美國到底他的優勢是在哪裡那要是如果不行那商人出身的川普到底是什麼心態提出這種可能傷敵一千自損八百的關稅政策 |
transcript.whisperx[55].start |
3165.649 |
transcript.whisperx[55].end |
3184.604 |
transcript.whisperx[55].text |
你認為呢?對,美國是很特殊啦美國因為它是一個全球最大的消費國當然它也是最大的赤字它的進口赤字,它的貿易赤字那所以呢,它有這個 |
transcript.whisperx[56].start |
3185.545 |
transcript.whisperx[56].end |
3203.934 |
transcript.whisperx[56].text |
他這個就是說他是希望用這樣的一個關稅的一個工具呢要達到他平衡貿易平衡的一個目的那你認為川普採取的打打彈彈的這種兩手策略對他 |
transcript.whisperx[57].start |
3204.778 |
transcript.whisperx[57].end |
3230.348 |
transcript.whisperx[57].text |
主要就是你認為他的目的想法就是那個總裁你認為他是怎麼樣的一個想法主要的我們在我們的報告第10頁也有講到他是國安的戰略也就是說他的製造業要回流要回去那個他講求是公平交易他都認為就是說因為他赤字他貿易赤字他總覺得貿易順差的國家 |
transcript.whisperx[58].start |
3232.749 |
transcript.whisperx[58].end |
3260.869 |
transcript.whisperx[58].text |
都占他的便宜這樣子對還有另外他是邊境的安全就是說那些的那個所以他最主要的目的是在這裡你像原油價格的變動對全球經濟會產生影響而全球經濟的狀況又會影響原油的價格對上一季央行理監事會表示國際原油這個近年來這個低檔盤整帶動人員價格下跌那總裁以第一季油價走勢 |
transcript.whisperx[59].start |
3262.59 |
transcript.whisperx[59].end |
3290.916 |
transcript.whisperx[59].text |
及各界對2025年經濟景氣的預測再加上川普擴大關稅戰的催化那請問原先對經濟景氣溫和成長的預測會不會因為太多負面不確定的因素導致整個全球經濟景氣反轉向下的趨勢所以就是說委員也問得很好事實上現在市場瀰漫著不確定性的因素 |
transcript.whisperx[60].start |
3291.576 |
transcript.whisperx[60].end |
3313.134 |
transcript.whisperx[60].text |
那這個不確定因素呢他會影響到什麼他會影響到投資廠商的投資也會影響到消費者的消費那這個對經濟成長都不是很好所以我就要密切關注他的一個對整個最後一個議題我再請教總裁根據主計總數二月的物價變動概況消費者物價指數CPI的年增率1.58%是四年來的新低 |
transcript.whisperx[61].start |
3317.938 |
transcript.whisperx[61].end |
3346.206 |
transcript.whisperx[61].text |
加上扣除蔬菜水果以及能源後核心的CPI上漲0.98%也創造四年來的新低那總裁主計總署認為當前物價雖然平穩但是還是高於通膨的警戒值那我請問以目前我們整個蔬果肉類啦水產品以及外食會等等這些價格上漲加上房租啦醫療費用的 |
transcript.whisperx[62].start |
3348.707 |
transcript.whisperx[62].end |
3371.597 |
transcript.whisperx[62].text |
長勢的延續是不是會造成整個物價通膨警戒的阻因是不是啊 我想也沒有錯啦最主要的還是就是說那個能源這個是沒有問題但是現在就蔬菜水果蔬菜水果還有就是服務類就是外食啦還有房租啦這些都是壓力這樣喔對 是好 這樣我了解 謝謝好 謝謝好 謝謝林委員的質詢請請帶一下 |
transcript.whisperx[63].start |
3377.674 |
transcript.whisperx[63].end |
3380.195 |
transcript.whisperx[63].text |
好 第二位請吳秉樂委員質詢主席麻煩請央行 請就位 |
transcript.whisperx[64].start |
3410.915 |
transcript.whisperx[64].end |
3417.647 |
transcript.whisperx[64].text |
剛剛有在台下聆聽如果核心的CPI不到1只有0.98 |
transcript.whisperx[65].start |
3420.794 |
transcript.whisperx[65].end |
3447.405 |
transcript.whisperx[65].text |
很危險啦嗯中國上個月的CPI是-0.7是通縮不是一件好事對那沒有錯在CPI在1以下有陷入通縮的這個可能性對沒有錯那當然你再加上蔬菜水果這個季節性的價格調整對非核心不是只有計算核心物價的話是一點出頭一點一點出頭是 |
transcript.whisperx[66].start |
3449.212 |
transcript.whisperx[66].end |
3477.939 |
transcript.whisperx[66].text |
我以前在那邊跟你對話過一個國家最好的CPI應該是在2左右不是越低越好不然中國應該要高興就像習近平講的物價下跌有什麼不好因為他不了解這個要從體經濟來看不是只有看這個數字是啦 委員講的也沒有錯站在美國的立場川普是美國總統站在美國立場他一定是想要美國 |
transcript.whisperx[67].start |
3480.285 |
transcript.whisperx[67].end |
3491.23 |
transcript.whisperx[67].text |
所以他其實從以前的戰略在競選期間他就是要讓製造業回歸美國全世界現在最大的問題先跳開總體經濟來講是戰隊的問題戰在哪一隊的問題現在的供應鏈是要建構非紅供應鏈 |
transcript.whisperx[68].start |
3501.243 |
transcript.whisperx[68].end |
3514.605 |
transcript.whisperx[68].text |
就是說因為中國共產黨CCP北韓、伊朗、俄羅斯這些極權國家這一些本來的全球化最得利的是中共 |
transcript.whisperx[69].start |
3515.681 |
transcript.whisperx[69].end |
3543.791 |
transcript.whisperx[69].text |
沒有錯啦那現在就是因為要把這個中共不遵照世界貿易的這個規則走所以必須要讓他離開這個供應鏈他現在走的戰略是這樣看清楚啦不要看表面然後常常台灣人喜歡說我們是不是在懷疑美國對台灣不好我們來認為川普是一個狂人川普在美國選民如果你相信民主政治的話 |
transcript.whisperx[70].start |
3544.98 |
transcript.whisperx[70].end |
3560.977 |
transcript.whisperx[70].text |
他在選舉人數以及在個別的計算數上他全部都是大幅獲勝所以美國人很支持這樣的政策那或許他講話比較快那講的 |
transcript.whisperx[71].start |
3561.994 |
transcript.whisperx[71].end |
3590.6 |
transcript.whisperx[71].text |
又可以改跟過去傳統中華文化裡面的儒家思想說這個為君者必須要謹言慎行有一點不太一樣但是他背後有他的思考跟邏輯脈絡我們回到國際貿易來講正常的國際貿易本來就是應該要balance那台灣去年對美國順差多少700多億美金換算成台幣是兩兆五千億 |
transcript.whisperx[72].start |
3592.093 |
transcript.whisperx[72].end |
3611.128 |
transcript.whisperx[72].text |
那這麼大額的金錢我們已經是美國的這個順差國裡面的排名前幾名的第五名第六名所以在這種狀況之下我們每天假設我們兩個不要說國家對國家的我們兩個是兩個廠商就你一年賺了我 |
transcript.whisperx[73].start |
3612.119 |
transcript.whisperx[73].end |
3629.04 |
transcript.whisperx[73].text |
七百多億美金難道你不會想說我應該也要你應該要適度的回饋吧這個是很合理的啊難道是台灣的政府對於一個國家對台灣一年順差七百多億美金然後他可以裝聾作啞當中沒有看到嗎 |
transcript.whisperx[74].start |
3631.502 |
transcript.whisperx[74].end |
3656.797 |
transcript.whisperx[74].text |
所以我是覺得你要從人家的角度也要思考這些問題那你認為像台灣一年對美國順差這麼多很奇怪的是跟過去的理論不同台幣對美金還在貶值照理來講順差多你應該要升值那你還在貶值那因為強勢美元所以你認為這部分應該要怎麼處理 |
transcript.whisperx[75].start |
3659.02 |
transcript.whisperx[75].end |
3687.516 |
transcript.whisperx[75].text |
當然就是說美國的匯率報告我想委員也知道這個匯率報告它是三樣因為我們第一個標準經常這樣順差還有就是對美國的順差現在就是看第三項第三項剛剛委員也提到了不過我們第三項就是說按照道理我們對它的順差對美元應該是升值 |
transcript.whisperx[76].start |
3687.816 |
transcript.whisperx[76].end |
3696.14 |
transcript.whisperx[76].text |
但是因為就是說剛剛也講到就川普的交易行情美國的交易行情你看看我們這邊他從9月份的時候100.78到1月13號的時候是109就升值了9點多那這個就是說川普行情 |
transcript.whisperx[77].start |
3713.568 |
transcript.whisperx[77].end |
3731.598 |
transcript.whisperx[77].text |
所以所有的辯論對他都是辯論你看一個人當選美國總統看對全世界影響多大他其實現在是全世界洞見瞻觀大家天天都在聽他講什麼天天都在看他要做什麼另外一點是 |
transcript.whisperx[78].start |
3732.518 |
transcript.whisperx[78].end |
3760.15 |
transcript.whisperx[78].text |
我相信我們不會刻意去操縱這個匯率絕對是不會因為我們知道這個如果被列為匯率操縱國的話那是我們就很倒楣啦我們第一個我們也很謹慎那當然就是說因為剛剛委員在講就是說匯率呢就實質的貿易來決定的匯率應該就是說那這樣的話美元是要貶值的但是問題另外一個就是金融帳 |
transcript.whisperx[79].start |
3761.491 |
transcript.whisperx[79].end |
3780.316 |
transcript.whisperx[79].text |
金融帳因為就是說CAPITAL FLOWS有的金融帳也就是說他的資金進來他的資金出去金融帳的金融帳跟貿易帳這個就不大一樣所以就是說現在基本上匯率大部分都是由金融帳來決定的而不是貿易帳 |
transcript.whisperx[80].start |
3781.576 |
transcript.whisperx[80].end |
3795.595 |
transcript.whisperx[80].text |
但是那個貿易戰是長期的因為你不可能說去年對美國順差700多億今年可能還會再繼續增加這多年累積的結果你記不記得當年日本被美國逼的升值逼到日本的狀況 |
transcript.whisperx[81].start |
3798.218 |
transcript.whisperx[81].end |
3822.001 |
transcript.whisperx[81].text |
如果經常性的貿易順差今年累月這樣累積我們台灣得想辦法解決啊不解決的話我們將來會面臨這個困境因為金融帳比較容易浮動嘛那你這個貿易帳那是比較長程的影響我跟委員報告就是說我們台灣現在目前我們一直沒辦法解決的問題還是在於我們的差額儲蓄的問題 |
transcript.whisperx[82].start |
3823.892 |
transcript.whisperx[82].end |
3851.963 |
transcript.whisperx[82].text |
所以主計總署前不久就公佈我們今年的我們差額儲蓄大概又是4.5兆所以我有一個看法跟你分享前幾天台積電的魏哲嘉董事長在美國白宮跟川普一起開記者會全世界矚目大家都說這是不得了的影響力對不對可以跟川普在那邊開記者會而且川普對他的禮遇 |
transcript.whisperx[83].start |
3853.163 |
transcript.whisperx[83].end |
3880.678 |
transcript.whisperx[83].text |
他未來的幾年會增加台積電會增加對美國投資一千億美金嘛那個錢啊如果是由台灣這一邊借貸去那當然要評估各家銀行要評估說這好還是不好其實台積電本身有錢嘛更多金融機構也很想借錢給他啦因為金融機構都想借錢給有錢人啦坦白講就這樣啦 |
transcript.whisperx[84].start |
3882.099 |
transcript.whisperx[84].end |
3897.626 |
transcript.whisperx[84].text |
那這個錢如果能夠到美國去這也就是一個金融帳的平衡嘛 對不對至少幾年內可以幫 有點小幫助第二個啊 其實賴總統也講得很清楚喔他希望台灣的廠商評估如果合理 |
transcript.whisperx[85].start |
3898.735 |
transcript.whisperx[85].end |
3914.6 |
transcript.whisperx[85].text |
也有錢賺鼓勵大家到美國去投資是不是公開講過了這也是一種金融帳的平衡多一點投資到美國去我們台灣就會留多一點錢去美國那這個也很好再來 |
transcript.whisperx[86].start |
3916.098 |
transcript.whisperx[86].end |
3943.488 |
transcript.whisperx[86].text |
政府有沒有可能考慮讓台灣的個人可以直接購買美國的股票因為現在是付委託手續麻煩然後又那個費用又非常的貴使得這個會變少那當然基於國際互惠這個要金管會所屬部門跟美國那邊談嘛這個都可以談啊那再來就是大眾物資的採購然後能源的採購 |
transcript.whisperx[87].start |
3945.049 |
transcript.whisperx[87].end |
3971.564 |
transcript.whisperx[87].text |
能夠對如果差價沒有很大是可以接受的範圍分散採購來源對美國大宗物資的採購也是平衡貿易的一個方法是沒有錯要多方努力啦對啦那所以是站在這樣的立場講說今天要面對的是我們要看到問題的根源而不是被指責說那是笑的每天在我勒索沒有啊是你一天到晚 |
transcript.whisperx[88].start |
3972.793 |
transcript.whisperx[88].end |
3992.127 |
transcript.whisperx[88].text |
台灣是人家的順差這麼大的國家他第一名是墨西哥因為就是他的鄰國距離他那麼遠這樣的經濟體對他的順差全球第六名這是很可怕的累計個幾年我覺得我們很可能被迫 |
transcript.whisperx[89].start |
3993.991 |
transcript.whisperx[89].end |
4020.344 |
transcript.whisperx[89].text |
累積幾年之後很可能的避職的壓力就大了到時候很可能就巨幅升職對台灣的製造業也不利啊我覺得委員講的也沒有錯不過我覺得委員也是講到就是說我們要面對問題我們要解決問題我覺得還是這樣子啦也不是說一味的就是說指責他啦我們要面對我們要面對他我們要解決他 |
transcript.whisperx[90].start |
4021.297 |
transcript.whisperx[90].end |
4036.165 |
transcript.whisperx[90].text |
是啊 是政府是整體的嘛所以你也參加行政院會嘛是在談到這方面的時候希望你也是你一定是比我們更高明啦但是對政府多一些建言好 謝謝你加油謝謝委員的質詢下一位請袁寬武委員質詢 |
transcript.whisperx[91].start |
4049.061 |
transcript.whisperx[91].end |
4052.367 |
transcript.whisperx[91].text |
主席各位列席官員大家早主席有請我們楊總裁楊總裁請 |
transcript.whisperx[92].start |
4065.047 |
transcript.whisperx[92].end |
4078.939 |
transcript.whisperx[92].text |
首先本席想請教總裁就是近日全球最關心的議題就是在上週台積電宣布加碼投資美國一千億美金台幣3.3兆以上讓全世界產業界競爭也成為 |
transcript.whisperx[93].start |
4081.989 |
transcript.whisperx[93].end |
4098.231 |
transcript.whisperx[93].text |
這個政經啊然後也成為全美國政壇的焦點尤其在國會演說川普這個也大力讚揚台積電強調說沒有給錢台積電就來投資他意圖展現他自己比拜登更具有經濟實力更高明 |
transcript.whisperx[94].start |
4099.712 |
transcript.whisperx[94].end |
4117.581 |
transcript.whisperx[94].text |
這顯示出台積電的決策不僅僅是經濟行為也牽涉到國際政治還有經濟競爭對台灣而言最大的擔憂是我們的護國神山出走所帶來的風險台大的副教授邱浩傑指出 |
transcript.whisperx[95].start |
4120.362 |
transcript.whisperx[95].end |
4139.2 |
transcript.whisperx[95].text |
避險機制的高成本投資可能會掏空台灣的晶圓代工訂單更可能會快速消耗台灣的外匯存底那我要這邊要請教楊總裁台積電的巨額海外投資是否會導致大量美元資金的流出影響我國外匯存底會不會 |
transcript.whisperx[96].start |
4144.764 |
transcript.whisperx[96].end |
4159.235 |
transcript.whisperx[96].text |
我們的局處也有針對這個問題我們也有討論過不過我們一直認為在短期之內應該是不至於短期之內我們會慢慢的來觀察它的一個情況因為第一個 |
transcript.whisperx[97].start |
4160.359 |
transcript.whisperx[97].end |
4186.151 |
transcript.whisperx[97].text |
我們你想想看就是說台積電他的他到那邊去投資他所要的美元那事實上呢台積電他賺的美元是很多的他不必要就是說是在市場這邊買美元然後到那邊去投資不必要不是不是當然就是說我們台灣最具競爭力跟影響力的 |
transcript.whisperx[98].start |
4187.071 |
transcript.whisperx[98].end |
4215.831 |
transcript.whisperx[98].text |
就是以半導體產業為核心的高科技產業在全球供應鏈重組還有地緣政治的變動台灣企業面臨前所未有的外部壓力還有內部的一個挑戰所以說台積電宣布投資一千億美金那只是台灣高科技產業赴美投資的第一槍尤其在川普的執政下恐怕不只台積電還有更多的龍頭企業在台灣的龍頭企業不管是半導體 電子 AI |
transcript.whisperx[99].start |
4217.792 |
transcript.whisperx[99].end |
4243.786 |
transcript.whisperx[99].text |
這些都受到了這些壓力或者是誘因整個產業鏈將資金跟技術輸出到美國那所以未來不管是錢人才全部都往美國走那不僅是台積電其他的科技龍頭這樣子的情況台灣是否會面臨產業跟資金的雙重外移的風險所以說對於剛剛你也提到經常這樣外匯政策 |
transcript.whisperx[100].start |
4244.726 |
transcript.whisperx[100].end |
4270.961 |
transcript.whisperx[100].text |
他一定會有一個很巨大的變動所以我尤其川普上台之後他一定會推動更多的保護主義美國優先所以關稅大戰供應鏈重組吸引外資這些東西對於我們全球經濟帶來極大的變化所以未來的貨幣政策走向還有美國對台科技的政策資本外流跟外匯存底 |
transcript.whisperx[101].start |
4272.202 |
transcript.whisperx[101].end |
4284.217 |
transcript.whisperx[101].text |
國際貿易格局的一個變化那央行作為維持金融穩定跟貨幣政策決策的一個關鍵機構我想要提醒楊總裁就是說除了密切關注還有提前因應我們還能做什麼 |
transcript.whisperx[102].start |
4285.52 |
transcript.whisperx[102].end |
4312.247 |
transcript.whisperx[102].text |
我想基本上剛剛所講的那些是風險你所說的風險而且我總覺得那是一個算是比較比較就是說是稍微比較極端一點的一個情況基本上我一直覺得就是說台灣的一個產業它不會就是說一窩蜂整個就在很短的時間就掏空出去了 |
transcript.whisperx[103].start |
4313.052 |
transcript.whisperx[103].end |
4326.918 |
transcript.whisperx[103].text |
不會不是對你剛剛提到這個那像我們台積電要去投資1000億美金也沒有事先跟政府報告然後也沒有做一個完整的一個很好的準備啊我們大家也是 |
transcript.whisperx[104].start |
4328.26 |
transcript.whisperx[104].end |
4350.494 |
transcript.whisperx[104].text |
也是在很短的時間才知道說要做這樣子具有的投資所以未來難保其他的龍頭企業迫於這種形勢誘因等等不得不去啊這個就是我們擔心的嘛那我再請教總裁就是說升降息的部分啦因為美國經濟惡化通膨的沒有降溫的趨勢那美國也在這個時間向所有的貿易夥伴 |
transcript.whisperx[105].start |
4353.477 |
transcript.whisperx[105].end |
4365.812 |
transcript.whisperx[105].text |
發動這種關稅大戰包括加拿大墨西哥那這些25%的這種關稅另外對中國也加徵10%的關稅加徵就是在原來基礎上又在加徵那這些舉動讓他們 |
transcript.whisperx[106].start |
4368.495 |
transcript.whisperx[106].end |
4392.221 |
transcript.whisperx[106].text |
讓專家也自己在擔心說可能推動美國國內物價的一個推升那也會引發停滯性通膨的這樣的狀況那面臨這個成長經濟成長趨勢跟通膨持續的一個升溫的雙重挑戰在這種情況我們央行總裁有沒有評估過 |
transcript.whisperx[107].start |
4393.737 |
transcript.whisperx[107].end |
4408.566 |
transcript.whisperx[107].text |
可能對我國的經濟貨幣政策造成哪些影響對我們也有評估過啦基本上呢我總覺得以目前的一個情況因為現在說實在第一個就是說他的情況還不是非常明朗第二個 |
transcript.whisperx[108].start |
4409.346 |
transcript.whisperx[108].end |
4425.584 |
transcript.whisperx[108].text |
他對墨西哥對加拿大他的一個扣關稅那基本上我們跟墨西哥跟加拿大我們對他的出口基本上是佔我們的GDP佔我們的出口還有佔我們的GDP不大 |
transcript.whisperx[109].start |
4426.685 |
transcript.whisperx[109].end |
4454.773 |
transcript.whisperx[109].text |
那但是呢對中國的一個他都要扣20%的那個這個對我們的影響會比較大一點為什麼因為我們對中國大陸的一個出口呢是現在是目前是31多啦31點幾但是呢他是從40幾42一直調降到31那中國大陸呢到美國去的一個出口呢也慢慢的在調整所以呢基本上呢 |
transcript.whisperx[110].start |
4455.933 |
transcript.whisperx[110].end |
4472.765 |
transcript.whisperx[110].text |
他對中國大陸的關稅對我們的影響也是慢慢地在下降當中那我記得我們第一次川普1.0的時候對中國大陸的一個扣關稅事實上得利的是台灣 |
transcript.whisperx[111].start |
4473.906 |
transcript.whisperx[111].end |
4498.291 |
transcript.whisperx[111].text |
我們台灣反而沒有受到影響那為什麼因為那個時候是台商回台投資第二個我們對美國的出口反而更加增加總裁我們的貨幣政策沒有跟美國對那貨幣政策方面我再想就是說第一個就是說以通膨來看的話對美國的通膨的影響會比較大對我們台灣的通膨比較少 |
transcript.whisperx[112].start |
4503.511 |
transcript.whisperx[112].end |
4516.235 |
transcript.whisperx[112].text |
我之前在質詢你的時候你有提到說CPI年增率要在1.5%以下才會降息是你之前有提過我們看到 |
transcript.whisperx[113].start |
4518.966 |
transcript.whisperx[113].end |
4530.81 |
transcript.whisperx[113].text |
資料就是說主計處的公布的資料1月份的CPI零增率2.66對擴除這個蔬果跟能源之後核心CPI上漲2.26對所以等於是說 |
transcript.whisperx[114].start |
4535.114 |
transcript.whisperx[114].end |
4553.201 |
transcript.whisperx[114].text |
不會有降息的情況對不對是總裁是這樣子嘛對不對對應該是啦那去年FED降息的時候我們反而升了半碼所以說央行這邊的態度就是說一定要在CPI年增率在1.5以下才會降息是不是這樣子 |
transcript.whisperx[115].start |
4554.762 |
transcript.whisperx[115].end |
4581.835 |
transcript.whisperx[115].text |
大體上應該也是可以說這一點是不變的應該也是這樣子啦我想我能夠理解說央行在制定貨幣政策還有考量這些必須要多重的考量那我是期望說央行能夠審慎的評估靈活的應對因為對於台灣未來經濟發展還有這個整個國家的一個對於美國中國這樣子的一個貿易大戰或者是這種 |
transcript.whisperx[116].start |
4583.395 |
transcript.whisperx[116].end |
4597.728 |
transcript.whisperx[116].text |
一些政策對於台灣的一些影響會造成我們的這些企業還有我們這些產業一個很巨大的變動好不好會 會 黃安會 會好 謝謝 謝謝委員好 謝謝 謝謝我們嚴委員來 繼續來我們賴昭偉 來賴志寶 |
transcript.whisperx[117].start |
4618.049 |
transcript.whisperx[117].end |
4621.833 |
transcript.whisperx[117].text |
謝謝主席以及各位先進有請我們的楊總裁來 楊總裁 |
transcript.whisperx[118].start |
4629.721 |
transcript.whisperx[118].end |
4648.567 |
transcript.whisperx[118].text |
賴委員早早 辛苦了楊總裁謝謝那麼川普總統宣布4月2號要對等關稅對等關稅的意思就是你課我多少關稅我課你多少關稅我查了一下美國的產品到台灣的關稅是6.5% |
transcript.whisperx[119].start |
4650.367 |
transcript.whisperx[119].end |
4669.792 |
transcript.whisperx[119].text |
台灣的關稅到美國那裡去是3.3%才一半啦剛剛好一半而已啦4月2號就要開始啦這樣一來會不會對我們這麼巨大的700多億的對美的一個順差有沒有影響 |
transcript.whisperx[120].start |
4672.4 |
transcript.whisperx[120].end |
4693.206 |
transcript.whisperx[120].text |
我跟委員報告,我們的資料就是對等關稅這個全部的產品,我們台灣對美國的稅率全部平均,加權平均我們全部的話,我們是比他的關稅還低 |
transcript.whisperx[121].start |
4695.572 |
transcript.whisperx[121].end |
4702.734 |
transcript.whisperx[121].text |
我們互的0.5%所以美國到台灣的產品值更低?對 全部 我們用全部 但是農產品好 那就以你的為主好不好因為我查的是另外的資料以你的資料 我們去美國是多少?幾%? |
transcript.whisperx[122].start |
4719.458 |
transcript.whisperx[122].end |
4732.505 |
transcript.whisperx[122].text |
我們去美國是幾%?我們的產品去美國的關稅是幾%?平均?我這邊的資料就是說是這樣啦我這個沒有明確的那個我只是差距啦我們用差距啦差距喔就是美國跟我們的水利的差距 |
transcript.whisperx[123].start |
4746.693 |
transcript.whisperx[123].end |
4748.194 |
transcript.whisperx[123].text |
我們農產品的關稅差距 就是說我們出口出去的跟我們進口 我們是比他高了5.3% |
transcript.whisperx[124].start |
4769.107 |
transcript.whisperx[124].end |
4774.549 |
transcript.whisperx[124].text |
那個是農產品平均是我們是我們占它便宜的否則我們生產不會那麼大你想也知道嗎如果我們是買了1.5怎麼可能這麼大 |
transcript.whisperx[125].start |
4787.733 |
transcript.whisperx[125].end |
4790.416 |
transcript.whisperx[125].text |
主要是農產品但是輝農產品的部分我們是比他低 |
transcript.whisperx[126].start |
4799.963 |
transcript.whisperx[126].end |
4828.144 |
transcript.whisperx[126].text |
那你講的是電子產品啊對 電子產品 因為我們的電子產品幾乎是零嘛我們的電子產品幾乎是零啊我們對那個農產品 我們是比他高我們去他那裡是零 他來我們這裡是零啊對啦 也沒有錯啊全世界電子產品幾乎都是零啊你總裁你查一下 查一下今天看到美國對於高磊對於加拿大 歐盟 |
transcript.whisperx[127].start |
4829.246 |
transcript.whisperx[127].end |
4851.356 |
transcript.whisperx[127].text |
要課25%的關稅 生效樓生效樓然後呢 加拿大歐盟也要對等課他280億美元的繁殖所以全球的關稅大戰已經開打了 對吧對吧開打啦 歐盟已經開開拋啦 一樣啊你25 我也25啊老公也開拋啊阿咱大王沒有啦 |
transcript.whisperx[128].start |
4855.559 |
transcript.whisperx[128].end |
4869.875 |
transcript.whisperx[128].text |
連台灣呢 我們台灣呢我們現在對台灣來因為他沒有對美國報告所以呢 報告委員我們第13頁這邊也有談到啦也有談到就是說美國額外針對四項商品的加徵關稅 |
transcript.whisperx[129].start |
4871.457 |
transcript.whisperx[129].end |
4880.103 |
transcript.whisperx[129].text |
那它對醫藥 醫藥品 半導體 特別是我們就是半導體嘛那還有鋼鐵 鋁銅 汽車零組件我們的十三頁這邊有談到就是說我們對它的曝險相較其他的國家來講 我們的曝險比較小 |
transcript.whisperx[130].start |
4891.687 |
transcript.whisperx[130].end |
4907.883 |
transcript.whisperx[130].text |
所以美國還沒有對我們出手就對了對 現在還沒有特別是那個彈刀的問題我們能不能夠說我台積電投資你1000億美金加原來的650所以拜託你川普啊 |
transcript.whisperx[131].start |
4908.664 |
transcript.whisperx[131].end |
4918.953 |
transcript.whisperx[131].text |
你可以看我給你這麼多錢是不是你就不要給我加關稅了可以嗎所以各個國家有沒有在談這個我就不曉得有沒有在談因為這個不是我們中央醫療局的職權有沒有在談我不曉得但是委員講的也沒有錯就是說很多國家也是多是在講究某種產品是不是要關稅可以豁免要跟他協商 |
transcript.whisperx[132].start |
4936.307 |
transcript.whisperx[132].end |
4949.6 |
transcript.whisperx[132].text |
我們去了一千億加元的六百五十億一千六百五十億美金沒有錯請問這一千億這個要去投資的事先你知不知道這個我不知道你都不知道我不知道這個錢從這裡你要這裡出去的他有經過你呢 |
transcript.whisperx[133].start |
4953.123 |
transcript.whisperx[133].end |
4980.289 |
transcript.whisperx[133].text |
因為包括委員 要經過你咧對啦要經過你啊對不對對對對他會經過我外匯市場那這外匯市場我們會知道但是呢這個他的一千億呢也不會就是說是在一年之內就一千億不會四年啊他講四年啊他講四年啊很長的時間嘛四年啊很長的時間他講四年平均一年要出去四百億美金喔一年要四百億美金喔我跟委員報告 |
transcript.whisperx[134].start |
4981.169 |
transcript.whisperx[134].end |
4988.414 |
transcript.whisperx[134].text |
我們這個問題我們也有跟他討論過有跟他討論過?我們有跟他討論過基本上他認為說他這個錢不會從這邊套位你聽我講一下你是不是跟魏哲家默契默契當然不會魏哲家那麼忙我們的相對的對口我們會跟他 |
transcript.whisperx[135].start |
5005.307 |
transcript.whisperx[135].end |
5007.589 |
transcript.whisperx[135].text |
你們派誰跟他談我們外匯局的局長有沒有談 |
transcript.whisperx[136].start |
5027.022 |
transcript.whisperx[136].end |
5053.947 |
transcript.whisperx[136].text |
那我由他來稍微跟你報告一下要匯錢匯這麼多出去要經過跟你們講一下啊包委員我們跟美方之間都有密切的在溝通啦不是啊你跟我們台方啦不是美方啦那台積電部分因為我們他們在大額結會的部分金額比較大的部分好了你跟誰談啦台積電的誰談啦 |
transcript.whisperx[137].start |
5055.427 |
transcript.whisperx[137].end |
5062.471 |
transcript.whisperx[137].text |
台積電的財務部門 財務部門總裁你不要鬧開啊 他財務長你不可以跟他談啦局長對財務長一三年啦對啊 那跟你談就為職家啦為職家你要對口啊 你要對財務才會中啊 |
transcript.whisperx[138].start |
5074.677 |
transcript.whisperx[138].end |
5094.782 |
transcript.whisperx[138].text |
因為魏哲嘉他不會去了解這些資金的狀況還是他的財務長比較了解所以也就是說他去那邊投資那會影響到我請問你啊川普是不是希望美元弱勢是不是 |
transcript.whisperx[139].start |
5097.271 |
transcript.whisperx[139].end |
5121.98 |
transcript.whisperx[139].text |
他希望能夠賣東西賣得好啊事實上他好像有這樣的一個傾向不過我跟委員報告就是說匯率也不是說有一個人他講的就算數但是他希望美元落市啦所以希望台幣升值啦匯率是由市場決定的 |
transcript.whisperx[140].start |
5122.867 |
transcript.whisperx[140].end |
5125.89 |
transcript.whisperx[140].text |
你去年進場164億美元 台幣還是騙因為你就怕被列為匯率超中估不會 我們不會怕 我跟委員報告 |
transcript.whisperx[141].start |
5146.086 |
transcript.whisperx[141].end |
5167.35 |
transcript.whisperx[141].text |
我們跟美國的財政部呢 我們的溝通良好我們隨時都在溝通所以這一點呢 請委員放心現在是不是還是被列為觀察名單這個最近據我了解 他都四月中四月到四月中呢 他會發布匯率報告 |
transcript.whisperx[142].start |
5169.89 |
transcript.whisperx[142].end |
5181.916 |
transcript.whisperx[142].text |
所以是因為台灣就被拿掉了,是這樣子嗎?我不曉得,因為我跟委員報告我們最起碼都會有兩項我知道啦,所以兩項就是觀察的嘛對,兩項就是觀察的嘛所以你要拿掉很困難的啦 |
transcript.whisperx[143].start |
5187.559 |
transcript.whisperx[143].end |
5197.125 |
transcript.whisperx[143].text |
因為如果說是兩項 特別是兩項就沒辦法了啦三項就操縱過 兩項就觀察過一項就觀察名單沒有錯所以這樣四月還是觀察啊因為你還是要再操縱啊還是兩項啦所以還是操縱啊沒有操縱啊觀察啦 觀察啦 |
transcript.whisperx[144].start |
5216.748 |
transcript.whisperx[144].end |
5221.06 |
transcript.whisperx[144].text |
這個你剛才講CPI我現在關心的GDP今年台灣的GDP怎麼樣 |
transcript.whisperx[145].start |
5224.364 |
transcript.whisperx[145].end |
5238.488 |
transcript.whisperx[145].text |
我跟委員報告 基本上我們報告這邊也有談到我們第一個我們的組織總署現在是他把他revise down但是他現在還是3.14這個是3.14那第二個國際的機構國內國外的機構平均現在以平均來講的話是3.04 |
transcript.whisperx[146].start |
5249.562 |
transcript.whisperx[146].end |
5278.212 |
transcript.whisperx[146].text |
不會再往下掉 不會再往下跳這個就是說 這個是目前的一個預測但是他會隨著新的一個制裁然後他才會川普的關稅政策是不是大犀牛是不是灰犀牛大犀牛他是不是灰犀牛這個我目前我是不曉得不過我也可以跟委員報告他對市場的不確定性是提高了 |
transcript.whisperx[147].start |
5279.099 |
transcript.whisperx[147].end |
5288.147 |
transcript.whisperx[147].text |
還沒有到灰犀牛程度應該是還沒有吧最後一個小問題也是很重的問題我問一個很笨的問題美國的國債這麼高佔GDP超過150%為什麼他不會倒你說他的那個債務佔GDP150%為什麼不會倒 |
transcript.whisperx[148].start |
5304.103 |
transcript.whisperx[148].end |
5312.085 |
transcript.whisperx[148].text |
因為美國你想想看日本本身就是250%250%日本都沒有倒啦何況是美國美國的經濟體那麼大美元又是國際主要的貨幣 |
transcript.whisperx[149].start |
5321.468 |
transcript.whisperx[149].end |
5327.05 |
transcript.whisperx[149].text |
所以你就這樣回答所以你就說150%佔事實上先進國家債務佔GD的比重都很高這樣子台灣的20幾%你緊張什麼我們差不多30%左右而已會不會到時候如果他 |
transcript.whisperx[150].start |
5346.136 |
transcript.whisperx[150].end |
5356.669 |
transcript.whisperx[150].text |
因為請問你這個我所查到之內對不對我們的外匯存底一半差不多一半是我有沒債應該是有啦會不會他現在這個舉債太多了臨時說這段時間我的利率 |
transcript.whisperx[151].start |
5369.773 |
transcript.whisperx[151].end |
5393.39 |
transcript.whisperx[151].text |
我覺得這個機率不高啦因為這樣的話就相當於除非就是說他把他的利率是從現在的4點幾把它降到0除非這個機率啦不然的話他不能就是說美國財政不能說我現在只能給你0那這樣的話就是等於他保障 |
transcript.whisperx[152].start |
5394.23 |
transcript.whisperx[152].end |
5413.886 |
transcript.whisperx[152].text |
如果說美國做這種動作的話 我相信啦 會美元危機會美元危機謝謝 謝謝我們賴昭偉他要是匯率降到零的話 不要利息的話就是送到緬甸去啦 這真正的詐騙犯啦 |
transcript.whisperx[153].start |
5423.823 |
transcript.whisperx[153].end |
5424.964 |
transcript.whisperx[153].text |
現在請國務委員資訊請謝謝召委 有請楊總裁來 楊總裁請 |
transcript.whisperx[154].start |
5446.057 |
transcript.whisperx[154].end |
5451.525 |
transcript.whisperx[154].text |
國務院長總裁你好我想我一樣跟賴兆偉一樣關心關於這個對等關稅的問題不過就數據上來說賴兆偉講說美國不是平均3.3我們是6.5 名目上這樣是沒有錯 |
transcript.whisperx[155].start |
5462.479 |
transcript.whisperx[155].end |
5479.95 |
transcript.whisperx[155].text |
但事實上在貿易金額加權之後的平均關稅台灣其實是2.2%那美國是1.7%也就是相差是0.5%你剛剛講0.5%沒有錯看起來台灣是比較高但台灣之所以比較高的原因是因為農產品所以實質上我們的貿易平均關稅其實是比美國還低 |
transcript.whisperx[156].start |
5486.494 |
transcript.whisperx[156].end |
5513.431 |
transcript.whisperx[156].text |
所以我要跟你說明這一點所以也就是說對等關稅來說對台灣其實是沒有什麼太大的重擊更何況呢其實我們在整個進出國跟美國之間的一個出口的項目還有這個進口的項目各十大項當中包括這個半導體那個機路電路啦半導體的機械啦等等器具基本上幾乎都是免稅的兩邊都免稅的所以這個部分我看起來 |
transcript.whisperx[157].start |
5513.951 |
transcript.whisperx[157].end |
5536.559 |
transcript.whisperx[157].text |
看這個部分整個對等關稅看起來衝擊不是很大可是事實上是因為我們的貿易順差劇烈的成長一下子從2023年第九名現在變成第六名然後現在川普一直對於這些順差的國家譬如講第一名的中國大陸或墨西哥都持有高關稅的方式這是讓大家關心的地方 |
transcript.whisperx[158].start |
5537.48 |
transcript.whisperx[158].end |
5549.377 |
transcript.whisperx[158].text |
現在我想請問一下那個總裁喔到底你認為川普用這個高關稅的政策是一種手段呢還是一種目的那就如同你剛剛回答這個其他委員講說我們要面對問題我們要解決問題是不是我們態度這樣子 |
transcript.whisperx[159].start |
5553.123 |
transcript.whisperx[159].end |
5580.919 |
transcript.whisperx[159].text |
然後你在這個報告當中的13頁當中就寫出來主要的這些經濟體有幾個方式啦就是他們來面對這個高關稅的部分第一個是報復措施PEW獎以加拿大的話他就針對這個那個袖帶州的部分來進行高關稅來施以報復第二個的部分是雙邊協商第三個部分購買美國商品在上次你報告當中購買美國商品我們要購買農產品、能源跟軍品你有提到就是三個 |
transcript.whisperx[160].start |
5581.88 |
transcript.whisperx[160].end |
5607.711 |
transcript.whisperx[160].text |
然後最近又多一個增加對美投資台積電去那1000億那之前我們1600億再加上總統又提到說GDP的部分國防預算要增加到3%而且這個部分我們不會受到三減預算的影響我們一樣維持國防預算的情況底下一年大概採購大概50億美金之多我們的天然氣石油的部分大概加起來一年的話大概是2000億左右的這一個美元 |
transcript.whisperx[161].start |
5608.592 |
transcript.whisperx[161].end |
5620.388 |
transcript.whisperx[161].text |
這樣的情況底下換算起來再將農產品大概十到二十億啊就這些總體數字來說總裁面對問題解決問題你覺得你提出的方法當中還有哪些台灣需要加強的地方 |
transcript.whisperx[162].start |
5622.37 |
transcript.whisperx[162].end |
5641.05 |
transcript.whisperx[162].text |
我想就是說第二個就是說也要多多跟他們溝通協調啦有溝通的管道嗎我之所以跳過雙邊協商的部分就是還沒有看到我們有對等溝通的管道啊因為溝通就我們中央銀行的這個職權來講我們就是說匯率報告 |
transcript.whisperx[163].start |
5644.353 |
transcript.whisperx[163].end |
5670.904 |
transcript.whisperx[163].text |
匯率報告的話呢我們有談到就是說央行跟他們對話是沒有問題是說新的關稅的這個政策下來的時候有沒有新的溝通管道跟對話方式啊那這個我就我不曉得啦但是就中央銀行的一個立場溝通我們跳過好不好你不曉得我們就跳過嘛溝通我們就跳過嘛你既然不曉得我們就跳過嘛我們剛剛講的你曉得的部分嘛要怎麼做我念給你聽啊還需要加強什麼 |
transcript.whisperx[164].start |
5674.249 |
transcript.whisperx[164].end |
5689.217 |
transcript.whisperx[164].text |
想不出來你這麼聰明都想不出來怎麼辦嘛對不對我們要面對這個川普的一個國安政策我跟委員報告事實上我們的台積電去那邊投資對等關稅之外還有報復關稅的問題耶 |
transcript.whisperx[165].start |
5691.478 |
transcript.whisperx[165].end |
5706.805 |
transcript.whisperx[165].text |
對不對台積電去加漢布朗當加起來是1650億耶但是他以川普他們的野心不是只是一家台積電他希望建立的是產業鏈半導體的產業鏈甚至是半導體的生態系形成所謂半導體的狼帶 |
transcript.whisperx[166].start |
5709.026 |
transcript.whisperx[166].end |
5726.56 |
transcript.whisperx[166].text |
所以目前這個為止總體經濟來說那個衝擊很大對美的關係關鍵很重要那這樣的情況底下我就說你之前已經有寫出一些方向了嘛那是不是應該在做你總體經濟宏觀的角度再提出一些可能性跟看法關稅只是其中之一了總裁 |
transcript.whisperx[167].start |
5727.441 |
transcript.whisperx[167].end |
5748.483 |
transcript.whisperx[167].text |
你知道最近川普還提到一個海湖莊園協議這比照華盛頓廣場協議的衝擊更大他除了關稅還有匯率還有債務重整三大面向最近他就點名日本跟中國說他操縱匯率那日本很聰明 |
transcript.whisperx[168].start |
5749.364 |
transcript.whisperx[168].end |
5761.814 |
transcript.whisperx[168].text |
日本之前是1比158現在跳到1比148最近好像又變成146又馬上升值升值的幅度是最快的你去看你這張圖你這張圖是最近 |
transcript.whisperx[169].start |
5765.077 |
transcript.whisperx[169].end |
5786.402 |
transcript.whisperx[169].text |
央行每天在臉書裡頭更新了最重要的圖為什麼你每天要更新因為知識替代嘛因為國人很關注嘛這個主要貨幣對美的這個升貶值升貶幅度的一個關鍵但是就升貶幅度的比較當中我們看出一個關鍵點就是台灣的部分比其他國家來說 |
transcript.whisperx[170].start |
5788.851 |
transcript.whisperx[170].end |
5798.679 |
transcript.whisperx[170].text |
比較嚴重人家都有升值我們甚至還在貶所以這個問題可能我們會被針對在3月10號的時候是0.12我們還貶值0.42最新的報告當中是0.553月12號 |
transcript.whisperx[171].start |
5808.047 |
transcript.whisperx[171].end |
5822.467 |
transcript.whisperx[171].text |
所以說在這種情況底下央行有沒有做努力我看是有做努力啦你在報告的37頁當中呢你去年就賣廢了164億嘛很顯然你有逐貶嘛可是你逐貶的情況底下 |
transcript.whisperx[172].start |
5823.559 |
transcript.whisperx[172].end |
5842.606 |
transcript.whisperx[172].text |
還是貶啊怎麼辦總裁我跟委員報告啦基本上呢美國財政部他不會就是說只有觀察你的匯率短時間的有波動事實上我們現在就貶嘛比較急嘛因為匯率有些時候你要看長的 |
transcript.whisperx[173].start |
5846.69 |
transcript.whisperx[173].end |
5873.206 |
transcript.whisperx[173].text |
要看長的如果看長的話我有一個數據跟委員報告請說2010年到現在呢我們台幣呢對義蘭的貨幣呢我們升值了將近20%所以照你這樣講我們不會因為這樣子川普點名的中國日本我們不會被點名你是不是這樣子安心沒問題我跟委員報告就是說第一個 |
transcript.whisperx[174].start |
5874.227 |
transcript.whisperx[174].end |
5903.639 |
transcript.whisperx[174].text |
我們跟美國財政部的一個溝通是良好的他們也知道我們台灣的匯率運作的情況你總裁說沒問題大家就安心了好不好就沒問題嘛可是接下來下個禮拜四我們央行要開這個禮監事會議了下個禮拜四FED也要開這個利率的禮監事會議了他們在凌晨我們在下午如果說他們有這個降息的話對我們壓力可能會比較小 |
transcript.whisperx[175].start |
5904.56 |
transcript.whisperx[175].end |
5906.906 |
transcript.whisperx[175].text |
可是如果萬一他升息的話那我們該怎麼辦 |
transcript.whisperx[176].start |
5909.629 |
transcript.whisperx[176].end |
5935.058 |
transcript.whisperx[176].text |
這件事應該會比較有聯動效果吧我跟委員報告啦就是說基本上呢說美國現在要升息這個跟市場的意氣是不大是違背的啦不太可能是不太可能因為現在呢所以只有降息不會升息對而且呢它的降息只是時間的時間的短或是它如果降 |
transcript.whisperx[177].start |
5935.478 |
transcript.whisperx[177].end |
5955.007 |
transcript.whisperx[177].text |
美元就會貶他如果升美元就會強可是你上一次的會期當中我們在另一個會議室你說美元川普上來美元應該會走強勢貨幣剛剛你回答這一個代委員又說走貶這不是矛盾嗎沒有沒有沒有沒有矛盾那個委員你看看我們第六頁 |
transcript.whisperx[178].start |
5956.187 |
transcript.whisperx[178].end |
5979.797 |
transcript.whisperx[178].text |
第二位在那個川普在九月份的時候他的美元的指數是100.78那然後呢到今年的1月13號的時候呢109.96相當於他將近升值了10%所以說還是升值嗎還是升值啊如果他走升值的話那對台灣的壓力就越大嘛 |
transcript.whisperx[179].start |
5980.137 |
transcript.whisperx[179].end |
6006.449 |
transcript.whisperx[179].text |
你去看一下台灣最近的情況那也不是說只有台灣啦所以我們在這邊但是我不管其他我就管我們嘛他生之後我們會壓力更大你再來看看不過我跟委員報告啦就是說匯率不是看短時間對我知道你剛剛已經強調過了不用再重複我聽到了現在有一個大的問題是台灣現在所處的環境當中是屬於這種minus的利率是負利率 |
transcript.whisperx[180].start |
6007.749 |
transcript.whisperx[180].end |
6034.015 |
transcript.whisperx[180].text |
這個負利率你在上次的報告當中去年3月你說屬於4宗比較於美國香港但是現在所有的國家你聽我講完所有的國家來說現在minus的就剩下台灣跟日本是最近剛好2月我們的CPI是只有1.58所以說意外稍微轉正一點點總裁你也算是神機妙算但是你如果說換算成台銀的定存的這個比例1.715%的話 |
transcript.whisperx[181].start |
6036.215 |
transcript.whisperx[181].end |
6058.688 |
transcript.whisperx[181].text |
還是一樣負利率啊所以很多人會把這個利率過低的問題視為房價之所以會高漲問題因為資金取得成本實在太低了嘛一個關鍵的問題好 就來提到你房市的降溫的部分你在P35頁當中的這個部分到底你精簡的幾家銀行都沒有講你只有講說你精簡120 |
transcript.whisperx[182].start |
6061.75 |
transcript.whisperx[182].end |
6085.449 |
transcript.whisperx[182].text |
然後你最後的講法說你會持續去觀察那你的意思是說你要用經檢的持續經檢的方式來取代可能的第八波的信用管制是不是總裁那當然啊所以沒有所謂的第八波信用管制只有第七波的持續經檢不會只有停在120會持續下去是不是 |
transcript.whisperx[183].start |
6086.914 |
transcript.whisperx[183].end |
6104.664 |
transcript.whisperx[183].text |
我想我們第七波是配合了它的總量管制總量管制之後我們第一個我們一定要來檢討就是說它有沒有按照它的一個期程來控制它的對不弄產的放款第二個我們在配合我們的專案精檢 |
transcript.whisperx[184].start |
6108.746 |
transcript.whisperx[184].end |
6116.152 |
transcript.whisperx[184].text |
我覺得這樣以目前來講的話呢你在B35你講說他們裡頭有一些問題就是哪幾家銀行你也沒有公佈麻煩你公佈一下或是私底下給我貸款陳述超過法定上限或者變相給予寬帶期這些東西都是違法的事情啊利用其他名目徵貸這裡都沒有寫出來這銀行哪有嚇阻效果啊清檢只有你知道別人都不知道有這麼神秘嗎 |
transcript.whisperx[185].start |
6139.129 |
transcript.whisperx[185].end |
6146.715 |
transcript.whisperx[185].text |
我們現在在開秘密會議嗎是是是要不要公佈我就要公佈嘛我來讓我們相關的單位也許我們提供資料給你公佈公佈公佈該公佈就公佈好不好我們來這個接下來我還會再問你啦我那房價到什麼時候點你要好好給我一個答案好不好 |
transcript.whisperx[186].start |
6164.828 |
transcript.whisperx[186].end |
6164.848 |
transcript.whisperx[186].text |
總裁 |
transcript.whisperx[187].start |
6185.783 |
transcript.whisperx[187].end |
6213.699 |
transcript.whisperx[187].text |
總裁早安賴委員早先跟你討論一個時事的議題是我想你應該也知道賴總統是一個超級棒球迷是那其實在去年11月底就是台灣的棒球隊拿下世界的12強的冠軍其實現在回想起來還是非常的感動那當時就有委員提到了是不是因為進入了12強我們要不要發行紀念幣 |
transcript.whisperx[188].start |
6215.3 |
transcript.whisperx[188].end |
6229.791 |
transcript.whisperx[188].text |
還是紀念鈔當然這個就是改版的新台幣那我們知道就是說如果是改版的新台幣的話他可能牽涉到了很多就是不管是我們的這個 |
transcript.whisperx[189].start |
6231.292 |
transcript.whisperx[189].end |
6251.066 |
transcript.whisperx[189].text |
合作社的ATM還是點鈔機還有所有自動那個自動銷售那個的一個銷售機的一個辨識系統那這個評估你們有沒有去評估要花費多少錢那當然是要費很多的錢那總裁目前有沒有這樣的一個計畫會不會做這樣的一個計畫我想就是說 |
transcript.whisperx[190].start |
6256.952 |
transcript.whisperx[190].end |
6274.875 |
transcript.whisperx[190].text |
紀念碧 紀念超的這個問題我們還是在收集各方的意見如果你讓他明年打進去他現在已經拿到經典賽的資格了明年萬一不小心又打了一個世界冠軍的話 |
transcript.whisperx[191].start |
6275.516 |
transcript.whisperx[191].end |
6293.796 |
transcript.whisperx[191].text |
那我想這個是一個值得紀念的那就是說我們央行有沒有什麼樣的一個機會所以用紀念幣或是紀念鈔的一個方式也許會比較好啦紀念幣還是紀念鈔因為牽扯的層面不會那麼大對對對好那總裁有沒有這樣的一個規劃 |
transcript.whisperx[192].start |
6295.077 |
transcript.whisperx[192].end |
6298.92 |
transcript.whisperx[192].text |
我們就拉回來就是當今的一個經濟上的一個議題全球的經濟議題那我們當然知道就是說去年11月我們曾經邀請你來就是說 |
transcript.whisperx[193].start |
6313.769 |
transcript.whisperx[193].end |
6325.932 |
transcript.whisperx[193].text |
一起做專案的一個報告那這裡要請教總裁就是說2025年經濟的一個情勢你怎麼看這怎麼看其實是非常重要的當然我們知道就是說 |
transcript.whisperx[194].start |
6327.694 |
transcript.whisperx[194].end |
6347.121 |
transcript.whisperx[194].text |
川普掀起了一個這個全世界的經濟的一個貿易戰那事實上就是說我們不管是在那個美國關稅的一個調整的一個生效甚至就是說美國的以亞還亞就是川普他課了那個加拿大的一個那個綱領 |
transcript.whisperx[195].start |
6348.582 |
transcript.whisperx[195].end |
6375.734 |
transcript.whisperx[195].text |
那個關稅那甚至歐盟也跟他對幹了就是說他也是講他就是說他要緩制的一個措施那其實這麼多這麼多就是說他不斷的一直宣布不管是關稅的一個調整還是說關稅的一個那個手段這個我們都看到了4月2號他即將就是說暫停所有符合美墨加協定的 |
transcript.whisperx[196].start |
6376.634 |
transcript.whisperx[196].end |
6399.247 |
transcript.whisperx[196].text |
這個對於就是加拿大跟墨西哥的關稅課25%那它也就是說在增加對中國的10加10就等於是20%的一個關稅那你怎麼來看待就是說台積電滬美擴大投資這個對於4月2號即將那個到來的全球的一個對等關稅你怎麼看它呢 |
transcript.whisperx[197].start |
6401.048 |
transcript.whisperx[197].end |
6404.432 |
transcript.whisperx[197].text |
對等關稅我剛剛也是在講就是說對等關稅對台灣來講的話我們是比較沒有多大問題 |
transcript.whisperx[198].start |
6410.987 |
transcript.whisperx[198].end |
6438.226 |
transcript.whisperx[198].text |
那你覺得對台灣是好的因為剛剛我就說我用WTO我剛剛也在講就WTO的一個資料就是說我們全部的產品就是說美國跟台灣的關稅來比較的話用貿易的加權平均全部的商品的話我們的關稅是比它低的但是我們農產品的關稅是比它高的 |
transcript.whisperx[199].start |
6438.973 |
transcript.whisperx[199].end |
6463.436 |
transcript.whisperx[199].text |
不過總裁我之前的幾位委員一直在提醒你就是美國的貿易順差這個累積下來這個接近700億的美元這個是一個非常嚴肅的一個問題你一定要有一個因應的一個措施這個因應的措施其實我相信川普不會放過我們的我們是前六名 |
transcript.whisperx[200].start |
6464.597 |
transcript.whisperx[200].end |
6482.127 |
transcript.whisperx[200].text |
雖然就是說我們是排序第六名的話可是他你想想看這個影響這麼大他沒賺他的錢他都要修理人家了我們賺他這麼多錢基本上我們對美國的順差主要是什麼 |
transcript.whisperx[201].start |
6482.927 |
transcript.whisperx[201].end |
6488.25 |
transcript.whisperx[201].text |
主要的是資通訊所以他一直要你的台積電所有的資通訊資通訊第一個他需要這個產品而且是他非常需要的 |
transcript.whisperx[202].start |
6505.439 |
transcript.whisperx[202].end |
6521.097 |
transcript.whisperx[202].text |
所以這個跟那個不公平的貿易這個好像我總覺得呢是他需要的那個啊你是這樣的一個看法那如果我最關心的是那個農產品那你美國現在也盯上了印度跟日本的進口的那個農產品的一個關稅了 |
transcript.whisperx[203].start |
6522.318 |
transcript.whisperx[203].end |
6551.006 |
transcript.whisperx[203].text |
那如果台灣也相對的就是遇到的相同的一個挑戰那我們的農民會受到了很大的一個衝擊那這樣子的話你有沒有什麼因應的一個方式因為我們都知道就是說那個沒關係你就是進一步的一個詳細的分析請一個月內提出給我一個書面的一個回應接著我還是想再跟那個就是總裁再討論一下這個百變的一個川普 |
transcript.whisperx[204].start |
6551.846 |
transcript.whisperx[204].end |
6574.897 |
transcript.whisperx[204].text |
其實他是不是在製造一個一場經濟上的一個衰退顯然是喔看起來是喔他在接受那個胡適的一個專訪的時候他也在預告喔他在預告說美國其實就是以退為進我們他們即將在面臨到一個經濟的一個衰退的可能性可是這樣美股就是股票就應聲就是下跌所以他 |
transcript.whisperx[205].start |
6576.057 |
transcript.whisperx[205].end |
6596.044 |
transcript.whisperx[205].text |
趕快又在白宮又講了又一個信心喊話說美國不會陷入衰退這個我們都看得出來他左右手的一個緩護的一個操作那在這裡我想問一下就是說如果川普現在掀起的一個全球的貿易戰和相關的一個政策是不是會破 |
transcript.whisperx[206].start |
6598.265 |
transcript.whisperx[206].end |
6616.594 |
transcript.whisperx[206].text |
這個壓迫到那個就是聯準會的一個降息那聯準會有沒有可能妥協最快會是什麼時候總裁你怎麼看我覺得美國聯準會有他的自己的看法基本上他是因為聯準會他是獨立性的 |
transcript.whisperx[207].start |
6617.345 |
transcript.whisperx[207].end |
6643.232 |
transcript.whisperx[207].text |
獨立性所以你看看就是說川普說他會下來就是說他會那個recession就是說會衰退但是呢那個Fed主席Power他就說事實上目前美國的經濟還是很有韌性的他的一個勞動市場還是蠻健全的所以總裁你認為就是我這個他不會這樣 |
transcript.whisperx[208].start |
6644.432 |
transcript.whisperx[208].end |
6669.872 |
transcript.whisperx[208].text |
聯準會不會降息所以這個也不是說他不會降息因為事實上你認為他不會降息那我再接著就是告訴你就是請教你一個議題因為我們都知道說那個美債的殖利率持續的上升那就是說我們台灣的壽險公司其實擁有跟我們的金融業擁有大量的一個美債這個對美就是台灣的金融系統 |
transcript.whisperx[209].start |
6670.792 |
transcript.whisperx[209].end |
6695.785 |
transcript.whisperx[209].text |
會在未來會有一個什麼樣的一個影響尤其就是說近期他可能是在半年還是一年有沒有這個我們可預期的可預期他應該是會有一個很重大的影響那你怎麼來看待這些問題我覺得我們的我們的受險業基本上他們因為他長久他長久都是在那個這個市場上 |
transcript.whisperx[210].start |
6696.445 |
transcript.whisperx[210].end |
6718.55 |
transcript.whisperx[210].text |
所以我總覺得他們當然有輸有贏不過歐洲歐來講的話我總覺得我們受選人他還是表他的一個成效還是表現得非常的好還表現得非常好還算是好因為他長久都是在這個市場上的他長久都在這個市場上所以基本上可是長久沒有碰到一個這麼瘋狂的那個美國總統 |
transcript.whisperx[211].start |
6721.237 |
transcript.whisperx[211].end |
6724.44 |
transcript.whisperx[211].text |
不過我跟委員報告我給你一個數據在2024年9月底的時候美國公債的殖利率是3.78 |
transcript.whisperx[212].start |
6737.592 |
transcript.whisperx[212].end |
6742.697 |
transcript.whisperx[212].text |
那最高點是4.79就將近升了1%但是最近已經到3月10號的時候它又降回來到4.22 |
transcript.whisperx[213].start |
6751.627 |
transcript.whisperx[213].end |
6768.493 |
transcript.whisperx[213].text |
所以你的業務報告裡頭有特別提出來我沒有看到這樣的一個數據你在信心的一個喊話可是在很短的時間這個不到兩個月的時間這個震盪這麼大那如果像我們的受險業它的槓桿操作是這麼大的話那你覺得這樣子沒有風險嗎風險到處都是 |
transcript.whisperx[214].start |
6779.036 |
transcript.whisperx[214].end |
6785.14 |
transcript.whisperx[214].text |
所以你認為保險業的槓桿開的那麼大所以它的匯兌風險那麼高所以你認為沒有關係那如果就是說我們的資產大部分是美金那一旦台幣升值的話就是說保險業的資產它的保單負債大部分是台幣那這樣的一個狀況的話你認為沒有關係 |
transcript.whisperx[215].start |
6806.595 |
transcript.whisperx[215].end |
6814.504 |
transcript.whisperx[215].text |
我想這個不是說沒有關係,他們自己風險的控管他會做你這麼有信心,那台幣會不會被美國強制的升值呢?不會啦,我的意思就是說新台幣的匯率還是由市場來決定的 |
transcript.whisperx[216].start |
6825.936 |
transcript.whisperx[216].end |
6837.986 |
transcript.whisperx[216].text |
是由市場決定的啦不是說中央銀行要讓它升就升 要讓它貶就貶不是這樣市場決定沒有啦 當然你的看法非常重要啊謝謝總裁 謝謝主席謝謝 謝謝好 謝謝賴委員的質詢 下一位請李燕秀委員質詢 |
transcript.whisperx[217].start |
6854.77 |
transcript.whisperx[217].end |
6857.852 |
transcript.whisperx[217].text |
總裁早安我今天問題非常非常多那因為時間非常短我就直接進入我的課題央行的黃金儲備一向都很少人關注但是黃金今年被大家討論很多 |
transcript.whisperx[218].start |
6878.567 |
transcript.whisperx[218].end |
6899.378 |
transcript.whisperx[218].text |
我們央行的黃金儲備將近423公噸其中有410公噸是作為發行的準備是完全不會動的其餘的部分我們每一年都會每四年總統副總統就任會做一些紀念幣的這個儲幣的來處理那我們目前央行黃金儲備大概有1358萬盎司市值達到1.3兆新台幣我們的帳面 |
transcript.whisperx[219].start |
6905.962 |
transcript.whisperx[219].end |
6926.838 |
transcript.whisperx[219].text |
大赚超过1400亿元因为最近黄金都有在涨价那我们在全球的黄金排名也达到第13名过去这几年无论是大陆中国大陆他在4月份今年也扩大黄金的储备包括波兰央行去年也买了90吨的黄金 |
transcript.whisperx[220].start |
6929.02 |
transcript.whisperx[220].end |
6951.325 |
transcript.whisperx[220].text |
總裁,我有關注到,您有提到我們跟美國的貿易的順差我們應該可以多買一些軍品、農產品、能源這些來平衡我們的貿易順差在1980到1989年代,當時我們其實有很大的貿易順差那時候廣場協議,當時政府就說好,我們買黃金 |
transcript.whisperx[221].start |
6954.726 |
transcript.whisperx[221].end |
6982.773 |
transcript.whisperx[221].text |
我覺得現在看起來是家惠子孫所以這件事情你覺得我們有沒有可能在貿易順差我們也來買一些黃金有沒有可能你對這件事情的看法如何基本上就是說我們為了平衡美國的順差我們來買黃金好像這個好像也沒有就是說是很好的一個 |
transcript.whisperx[222].start |
6984.093 |
transcript.whisperx[222].end |
7010.046 |
transcript.whisperx[222].text |
很好的一個措施啦為什麼基本上美國好像也不認為就是說你就是買黃金來平衡它的那個但美國同不同意是一個關鍵啦對不過就是說這個就涉及到就是說中央銀行就是說我們用買黃金的方式來平衡我們的貿易的順差好像也很少是用這種方式 |
transcript.whisperx[223].start |
7012.746 |
transcript.whisperx[223].end |
7034.195 |
transcript.whisperx[223].text |
當時是沒有錯啦當時這個政策現在看起來是對的啦因為我們的黃金的儲值很多啊是啦當然啦那也不過就是說時空的情況是不大一樣的那個時候呢是購買黃金就是說要平衡中美之間的一個順差但是那個時候據我了解他也沒有承認 |
transcript.whisperx[224].start |
7036.877 |
transcript.whisperx[224].end |
7055.231 |
transcript.whisperx[224].text |
所以我們現在的平衡貿易順差的狀況之前你提到那三大項那你覺得真的有辦法解決嗎所以我在講到這個的時候我才剛剛也在講這個問題就是說基本上我們 |
transcript.whisperx[225].start |
7057.933 |
transcript.whisperx[225].end |
7074.363 |
transcript.whisperx[225].text |
美國跟中國大陸美國跟墨西哥跟加拿大的順差的問題跟美國跟我們台灣的一個逆差的問題是不大一樣的我同意啊因為川普 |
transcript.whisperx[226].start |
7074.963 |
transcript.whisperx[226].end |
7093.771 |
transcript.whisperx[226].text |
他要一國一國來談所以我們要因應我們必須要好幾道不同的策略跟版本接下來總裁我也要請教你因為國際上面臨川普的多變還有我們自己國內的狀況無論是川普2.0或者是我們接下來電價調漲接下來台灣整體的經濟景氣面對的是外有狼內有虎的狀態 |
transcript.whisperx[227].start |
7099.574 |
transcript.whisperx[227].end |
7123.854 |
transcript.whisperx[227].text |
那我們未來怎麼樣因應所以在這一次今年度的整個我們3月20號要召開的禮監事會大家都非常關注因為到底升息或降息或者是升多少這都會是代表接下來景氣大家都會用這個來去做最後的觀察那當然美國的狀況主計處在今年也下修2月份下修我們經濟成長到3.14 |
transcript.whisperx[228].start |
7127.597 |
transcript.whisperx[228].end |
7153.739 |
transcript.whisperx[228].text |
我們光看美國就好了就是說美國過去這一年的通膨就未來一年的通膨會達到4.3%4.3%這個數字其實是非常可怕的所有物價通膨的狀態我們都說超過2已經是一個人民有感更何況它接下來會達到4.3甚至有很多學者專家都說美國市場更可能會引發停滯性的通膨 |
transcript.whisperx[229].start |
7155.04 |
transcript.whisperx[229].end |
7176.239 |
transcript.whisperx[229].text |
那這個美國通膨的影響當然對全世界都會有影響因為包括台灣的物價也會受到衝擊那我想請教總裁你覺得川普在上任之後哪一個政策對台灣的衝擊最大或者是我們要特別關注的我想主要的還是在半導體就是在半導體還是在半導體 |
transcript.whisperx[230].start |
7181.055 |
transcript.whisperx[230].end |
7188.122 |
transcript.whisperx[230].text |
哪一個政策是讓你最驚訝的你覺得在半導體在他的立場回歸到美國優先你覺得衝擊最大當然是在半導體我覺得還是在半導體 |
transcript.whisperx[231].start |
7200.902 |
transcript.whisperx[231].end |
7220.821 |
transcript.whisperx[231].text |
因為就是說為什麼我剛剛也在講我們對美國的順差主要的是資通訊我們怎麼因應你覺得對我們衝擊最大所以你看看就是說你看看就是說川普的在在那個的在最近的時候他都一直講就是說是台灣呢拖走了他的那個半導體的產業 |
transcript.whisperx[232].start |
7222.523 |
transcript.whisperx[232].end |
7230.529 |
transcript.whisperx[232].text |
但是呢我們的台積電說他要去增加投資1000億然後要增加650億了所以之後呢他就改口了他就改口什麼他就說 |
transcript.whisperx[233].start |
7239.276 |
transcript.whisperx[233].end |
7264.067 |
transcript.whisperx[233].text |
台灣呢他就好像很滿意啦他就很滿意而且呢他改口他也不講說我們拖了他的那個對中台但是他下一步他可能隨時會變我再下一個問題目前看起來半導體對我們衝擊是最大那但是下一個包括關稅的出手匯率啊關稅其實都是我們有可能成為下一個目標 |
transcript.whisperx[234].start |
7264.907 |
transcript.whisperx[234].end |
7282.949 |
transcript.whisperx[234].text |
所以因為他的百變隨時想到什麼或下一步他要做什麼我們永遠不會知道所以我們必須要好幾套因應的版本那面對接下來的關稅其他的關稅總裁你覺得台灣面對墨西哥跟加拿大我們會不會成為台灣有沒有可能變成下一個目標當然我們要做準備 |
transcript.whisperx[235].start |
7284.15 |
transcript.whisperx[235].end |
7304.707 |
transcript.whisperx[235].text |
如果我們是下一個目標的話你覺得我們的移椅策略應該是做什麼樣的策略如果說所以呢我就說我們的報告裡面也有談到啊就說在我們十三頁裡面啊就說他除了他對墨西哥對加拿大還有對中國中國大陸的一個擴增關稅那另外呢 |
transcript.whisperx[236].start |
7305.347 |
transcript.whisperx[236].end |
7324.767 |
transcript.whisperx[236].text |
他對醫藥品我們十三類這邊我知道總裁因為我們時間快到了我們的因應策略到底是什麼所以我們在這邊要表達的就是說事實上在這裡面我們的半導體是比較對我們的影響是比較大但是基本上我們出國到美國的半導體不多 |
transcript.whisperx[237].start |
7327.61 |
transcript.whisperx[237].end |
7345.788 |
transcript.whisperx[237].text |
那如果其他關稅增加的話對我們當然有影響這個還會刺激其他的就是說半導體到美國之後它的上下游產業可能也都會跟著走了對我們會有其他的衝擊在那整個經濟的循環包括通膨的影響很多 |
transcript.whisperx[238].start |
7347.157 |
transcript.whisperx[238].end |
7358.149 |
transcript.whisperx[238].text |
企業它可能會減少投資或停看停音在這個階段它可能停看停音它會減少投資造成減少消費包括經濟的蕭條包括我們的供應鏈可能會有移轉的狀況那你覺得 |
transcript.whisperx[239].start |
7363.234 |
transcript.whisperx[239].end |
7389.526 |
transcript.whisperx[239].text |
這個間接對台灣當然有影響那我們的因應你會不會擔心就是說全球化跟自由化的貿易已經死了就以川普這樣的執行方式還有他的思考邏輯我們過去都講全球化自由化你會不會擔心全球化跟自由化已經死了我跟委員報告基本上我還是都是非常相信我們的企業我們的產業因為我們的企業非常靈活 |
transcript.whisperx[240].start |
7391.007 |
transcript.whisperx[240].end |
7409.987 |
transcript.whisperx[240].text |
所以你覺得你反對全球化跟自由化貿易會死你看看就是說在川普1.0的時候事實上川普1.0的時候是我們受益我們也沒有受害只是說他的2.0跟1.0是完全不一樣因為他是比較全面性那你覺得川普的2.0對台灣經濟的動能會不會有衝擊 |
transcript.whisperx[241].start |
7412.489 |
transcript.whisperx[241].end |
7415.272 |
transcript.whisperx[241].text |
以目前來講的話呢到目前為止的話呢我們覺得不要講目前因為經濟都要看中長期中長期有些時候中長期是不大容易去預測的啦 |
transcript.whisperx[242].start |
7427.643 |
transcript.whisperx[242].end |
7446.039 |
transcript.whisperx[242].text |
總裁你是央行總裁你當然要去做準備跟預測啊因為到目前為止呢川普的政策他的實施的具體的一個具體的措施是什麼到目前為止還不是非常的明朗但是總裁我要一下提醒因為這個議題我們在這邊做打住我覺得因為對於接下來緊急整個全世界的緊急台灣的動能 |
transcript.whisperx[243].start |
7455.367 |
transcript.whisperx[243].end |
7462.378 |
transcript.whisperx[243].text |
經濟的影響跟動能我覺得我們還是要有好幾套準備的模式包括我們的通膨的影響 |
transcript.whisperx[244].start |
7465.154 |
transcript.whisperx[244].end |
7478.064 |
transcript.whisperx[244].text |
總裁你會不會覺得說對這些景氣的循環的狀況你是身經百戰但是接下來到底我們去年我稱呼你是Mr. |
transcript.whisperx[245].start |
7478.064 |
transcript.whisperx[245].end |
7484.69 |
transcript.whisperx[245].text |
Surprise因為你有預防性的通膨你做了一個半碼的升息今年跟去年的狀況你覺得類不類似 |
transcript.whisperx[246].start |
7488.732 |
transcript.whisperx[246].end |
7503.896 |
transcript.whisperx[246].text |
基本上我們還是覺得我們的通膨是一直在下來的那現在比較大的一個挑戰是什麼通膨你覺得接下來也會往下降但是明年接下來我們四月份要調電價你有沒有跟經濟部這邊討論過都沒有討論過有啦 大體上我們也知道就是說有討論過 |
transcript.whisperx[247].start |
7514.359 |
transcript.whisperx[247].end |
7518.162 |
transcript.whisperx[247].text |
沒有討厭我沒有這麼大的事情沒有跟你討 講要調25%捏現在調25%捏什麼什麼25% |
transcript.whisperx[248].start |
7524.22 |
transcript.whisperx[248].end |
7534.01 |
transcript.whisperx[248].text |
變價要調25%好像沒有吧好像不會有沒有跟你討論過那不是25%對不同的版本有沒有一些準備總裁我講不管調幾%對於通膨有一定的影響你同意嗎去年十月就調12.5%都有一定程度的影響 |
transcript.whisperx[249].start |
7547.083 |
transcript.whisperx[249].end |
7560.392 |
transcript.whisperx[249].text |
有啦 有啦 但是呢但是你有沒有預測過他是對企業啦那這一次要調的是對民生喔他對民生 民生的衝擊會比較大一點啦對啊 所以行政院有沒有跟你討論過行政院有沒有跟你討論過 |
transcript.whisperx[250].start |
7564.835 |
transcript.whisperx[250].end |
7583.621 |
transcript.whisperx[250].text |
我們也不必要就說討論了因為我們大體上也知道那你大體知道你是用多少%來預估35%嗎還是12%不過現在據我了解行政院還沒有決定就說要多少而且行政院認為就是說這個是他的那個委員會決定的 |
transcript.whisperx[251].start |
7585.934 |
transcript.whisperx[251].end |
7611.014 |
transcript.whisperx[251].text |
有委員決定就說要這樣我把它結束了我還是要提醒你我覺得內部還是要因為你畢竟是掌握經濟而且這個對通膨影響非常大你去年的升息半碼對抑制通膨我覺得做得非常好因為連續過去三年我們雖然房價也在漲但是物價漲控制的我覺得相對是好的如果行政院 |
transcript.whisperx[252].start |
7611.895 |
transcript.whisperx[252].end |
7622.199 |
transcript.whisperx[252].text |
一直喊說要漲價 要漲到 民生電價要漲到25%如果連 都沒有跟你討論過 我覺得是柏侯 柏侯 柏侯 柏侯 柏侯 柏侯 柏侯 柏侯 柏侯 柏侯 柏侯 柏侯 柏侯 柏侯 |
transcript.whisperx[253].start |
7642.66 |
transcript.whisperx[253].end |
7671.477 |
transcript.whisperx[253].text |
主席 在場的委員先進列席的政府計劃組長 官員會長 觀眾夥伴媒體記者女士先生有請楊總裁有請總裁外匯局蔡局長陳局長還有財經資訊公司林董事長林董事長請總委員早總裁好總裁趁你還沒注意到我趕快進入下一頁請問總裁你認為這三個都市哪一個稱得上是亞洲金融中心 |
transcript.whisperx[254].start |
7674.937 |
transcript.whisperx[254].end |
7696.129 |
transcript.whisperx[254].text |
亞洲金融中心的話我們如果講一般比較會那個的話現在我們應該就是說香港跟新加坡比較但是現在就香港因為香港本身現在所以香港跟新加坡是算啦東京也算吧他算是在亞洲裡面的重要的那這三個地方都有設置資產管理中心嗎 |
transcript.whisperx[255].start |
7700.298 |
transcript.whisperx[255].end |
7711.532 |
transcript.whisperx[255].text |
因為資產管理中心算是亞洲金融中心的一部分的功能那台灣有可能取代哪一個成為亞洲金融中心嗎? |
transcript.whisperx[256].start |
7713.525 |
transcript.whisperx[256].end |
7736.787 |
transcript.whisperx[256].text |
我想就是說我們不要就是說是取代啦我們不要說取代因為你的發展跟他有些時候不太一樣那不必要就是說是要取代那我們請教一下莊財你念書的時候有寫過做我的志願你的志願有沒有想過你有一天會當總裁有沒有沒有想過沒有想過那你會不會覺得有一天你可能會成為總統 |
transcript.whisperx[257].start |
7739.312 |
transcript.whisperx[257].end |
7754.57 |
transcript.whisperx[257].text |
不要小看啦現在加拿大的總理是誰是前任的總裁啊是是是所以喔太謙虛太客氣過去不該想的事情未來不是沒有可能這一點啊我才會就是說非常非常的謝謝鍾委員 |
transcript.whisperx[258].start |
7756.633 |
transcript.whisperx[258].end |
7772.27 |
transcript.whisperx[258].text |
給我非常大的鼓勵那說實在的你在講的時候呢我為什麼我平常不會笑得那麼大聲我不會笑得那麼大聲但是呢我笑得那麼大聲是說我從來沒有想過這些但是呢委員給我的鼓勵我們人要有志氣啊 |
transcript.whisperx[259].start |
7777.475 |
transcript.whisperx[259].end |
7797.874 |
transcript.whisperx[259].text |
台灣就算不能取代人家成為亞洲金融中心也可以成為一個亞洲的資產管理中心有這個條件吧其實呢在COVID-19之後呢我又再度回到越南這次我去啊有個台商接待我他看說他創造一個新的商業模式怎麼樣呢他在一個商業大樓裡面底下的大賣場啊有一個美食廣場 |
transcript.whisperx[260].start |
7799.116 |
transcript.whisperx[260].end |
7821.698 |
transcript.whisperx[260].text |
這個美食廣場我們要去吃飯不是一個點一個點去付錢沒有 他說進去之前你先弄一個儲值卡我除了一百萬月頓 你要多少錢嗎一百萬月頓沒多少啦 一千五台幣啦然後這個儲值卡呢 我每一攤呢就可以去消費消費完之後呢 我要離開了 他可以把儲值卡再結清那這樣子呢 我去每一攤呢 我也不用再拿月頓去跟他換 |
transcript.whisperx[261].start |
7822.759 |
transcript.whisperx[261].end |
7847.812 |
transcript.whisperx[261].text |
那這個美食廣場還有誰的客人還有樓上的這些上班族的客人你覺得這個商業模式有沒有很特別啊其實我覺得沒有很特別我還想想說不對啊這個小時候我們參加原油會也是這樣子啊拿一百塊的換原油券對不對那去每個攤位消費消費完了之後呢店家拿原油券去換錢是不是這樣差別在哪裡還是有個差別差別是呢 |
transcript.whisperx[262].start |
7848.912 |
transcript.whisperx[262].end |
7863.317 |
transcript.whisperx[262].text |
顧客不能拿原油先把錢換回來而且呢是一張一張的而這個他說我的新模式是用儲值卡對不對對好那這個很像什麼呢往下看這個就很像我們說的亞資中興啊造源投資國家發展方案 |
transcript.whisperx[263].start |
7863.897 |
transcript.whisperx[263].end |
7890.866 |
transcript.whisperx[263].text |
央行支不支持兆元投資國家發展方案那這個雅資中心是不是其中一個重要部分他是不是創造一個讓金融業者跟台灣的這三大比如公共建設長照產業永續產業把台幣的這些產業的投資變成金融商品放到這個雅資中心也歡迎外來的投資來進行對不對好請問最後他不是原油券喔他投資完了之後他沒有用完的話賺到的他要帶走有沒有匯兌的問題會不會有匯兌的問題 |
transcript.whisperx[264].start |
7894.02 |
transcript.whisperx[264].end |
7908.314 |
transcript.whisperx[264].text |
這個雅致中心可能是用美元計價嘛 對不對對好 那我們看看央行怎麼說央行說雅致中心不得涉及匯率外匯商品不開放涉新台幣匯率外匯商品這個非資產管理的障礙你們認為這個不會造成資產管理的障礙為什麼為什麼 |
transcript.whisperx[265].start |
7912.319 |
transcript.whisperx[265].end |
7937.438 |
transcript.whisperx[265].text |
我們在這邊說如果原油券不能換回我的新台幣我就是去參演遊會啊我去弄個儲值卡我去那邊銷貨幹嘛我還買了什麼東西我沒有玩的可以帶走啊如果去做生意我還可以帶走啊是不是這樣所以我先讓央行思考一下你們說未設新台幣匯率的商品你們是開放態度什麼叫開放你反過來說嘛沒有涉及的我是開放有涉及的不允許好往下看 |
transcript.whisperx[266].start |
7938.439 |
transcript.whisperx[266].end |
7964.381 |
transcript.whisperx[266].text |
金管會現在在負責亞資中心他錯的這個圖啊多元產業呢有跟無之間新疆模式跟香港模式他們基本上他們有外資跟金流但是他們沒有什麼沒有產業台灣呢有產業有投資像日本模式台灣模式介乎在這兩者之間結果現在日本新加坡香港被列為觀察匯率的操縱名單你認為台灣如果加入了讓這樣的資產管理中心 |
transcript.whisperx[267].start |
7965.554 |
transcript.whisperx[267].end |
7988.809 |
transcript.whisperx[267].text |
這個有沒有開放外匯跟你們的擔心有沒有關聯應該是沒有關聯那既然沒有擔心被列為匯率操縱觀察名單人家日本、新加坡、香港都可以這樣做了為什麼央行不這樣做事實上剛剛你說原油、原油匯那些那些都是小額的啦那些小額的我跟委員報告就小額的來講我們也是非常自由你看看 |
transcript.whisperx[268].start |
7995.537 |
transcript.whisperx[268].end |
8019.565 |
transcript.whisperx[268].text |
但是我們要做亞洲資產管理中心是兆元兆元你再不弄開放外匯你說的也沒有錯不過就像那個小額的話你看看我們個人我們本來是因為是巨額才不能比照個人有小額的外匯法規去管理是巨額的時候小額的話我們也不會管 |
transcript.whisperx[269].start |
8020.425 |
transcript.whisperx[269].end |
8043.387 |
transcript.whisperx[269].text |
所以就問你巨額的人你不開放或是有部分的鬆綁他沒辦法進行嗎你五百萬一個個人我們就說個人來講五百萬到一千萬我們不要岔題它當然不是研究會也不是一個美食廣場的儲值卡它是一個造源產業的資產管理中心所以請你們外匯局好好去研究一下可不可以可以 下一頁 |
transcript.whisperx[270].start |
8044.088 |
transcript.whisperx[270].end |
8046.47 |
transcript.whisperx[270].text |
好 金管會允許銀行發行穩定幣請問這個跟我們央行的CBDC之間的關聯是什麼 |
transcript.whisperx[271].start |
8053.34 |
transcript.whisperx[271].end |
8078.52 |
transcript.whisperx[271].text |
我想那個穩定幣它可以發行啊跟我們CPTC發行 法幣嘛對不對那穩定幣是業者嘛 它居然是B2B嘛那透過你們的CPTC它去做個連結目前央行沒有時間表 國際上也沒有辦法推動跨境支付嘛所以你們CPTC沒有要做跨境支付對不對 往下看但是呢 韓國的央行要啟動CPTC的零售交易耶它連零售交易都要做了耶 |
transcript.whisperx[272].start |
8078.8 |
transcript.whisperx[272].end |
8095.573 |
transcript.whisperx[272].text |
有沒有他一百萬韓元大概兩萬多台幣他一個電子錢包的概念那請問央行目前有沒有推動類似的四點齁零售交易的一些支付方式有沒有南韓現在有四點嗎 |
transcript.whisperx[273].start |
8098.352 |
transcript.whisperx[273].end |
8101.534 |
transcript.whisperx[273].text |
我們現在試驗階段是先從數位券開始我們先不防CPTC,我們有類似的支付工具,像TWQR |
transcript.whisperx[274].start |
8113.468 |
transcript.whisperx[274].end |
8137.824 |
transcript.whisperx[274].text |
來那TWQR是什麼來董事長講一下TWQR是什麼跟委員報告TWQR就是台灣的QR code共同的標準好那目前坊間是不是已經有民間自己的很多版本了原來是有很多版本但是現在大家要整合往同一個版本再推進但是它不會只在境內用我們看下一張請總裁過來看民間電子業者插旗韓國日本 |
transcript.whisperx[275].start |
8138.504 |
transcript.whisperx[275].end |
8148.788 |
transcript.whisperx[275].text |
拓日報捷全支付全年的支付逼進韓國這是今天的新聞啊他說進日本跨境電資之後呢開通了這個全支付可以到韓國到日本都可以用 |
transcript.whisperx[276].start |
8151.701 |
transcript.whisperx[276].end |
8176.597 |
transcript.whisperx[276].text |
董事長 你們有沒有應對的對策跟委員報告 我們在韓國在去年的1月就已經開通了所以TWQR也可以 是好 那是不是沒有輸給全資物 我們走在前面往下看所以目前TWQR我們國人出國去日本 韓國 甚至新加坡都可以使用 對不對未來可能新加坡也可以使用有沒有進度 有沒有一定執行時間 |
transcript.whisperx[277].start |
8177.959 |
transcript.whisperx[277].end |
8198.308 |
transcript.whisperx[277].text |
跟委員報告就是說目前到韓國日本都可以那今年呢我們希望日本能夠來台灣使用然後呢再接著推動新加坡也能來台灣使用所以你把我後面要講的也講了總是不能我們觀光客去人家消費我們可以用什麼TWQR人家觀光客來我們消費不能用 |
transcript.whisperx[278].start |
8199.315 |
transcript.whisperx[278].end |
8227.117 |
transcript.whisperx[278].text |
TWQR吧我們有鼓勵他們用對不對更進一步的我們往下看我們看很多潛力TWQR的發展潛力海外旅遊大家想想看去年的速度鏡的旅客人士單單是來自於東南亞的國人出國就快三百萬他們來到台灣也超過將近一百七十萬大概有四百六十萬的規模那以國人來說現在國人出國第一位的是什麼去哪裡去日本 |
transcript.whisperx[279].start |
8228.288 |
transcript.whisperx[279].end |
8256.671 |
transcript.whisperx[279].text |
那其次呢是新南向國家佔了快兩成中國韓國還沒那麼多可是相對的外國的旅客來台灣日本不是第一名喔香港韓國在後面第一名是什麼來自新南向的國家董事長知道了嗎知道這個情況嗎是的好那央行總裁要拜託您對董事長有所要求現在呢我們來看一下往下看現在就是說除了旅客之外另外境外工作者 |
transcript.whisperx[280].start |
8257.515 |
transcript.whisperx[280].end |
8275.735 |
transcript.whisperx[280].text |
現在在台灣的境外工作者來自海外的工作者在台灣的有高達81萬對不對他們也會返鄉消費有沒有可能他們在台灣也弄了TWQR回去到那種國家不是只有台灣的官方可以使用啊他們這些人也可以當地使用有沒有可能 |
transcript.whisperx[281].start |
8277.674 |
transcript.whisperx[281].end |
8304.572 |
transcript.whisperx[281].text |
跟委員報告就是說雙邊要有合作當然這個發展是有可能性的是所以說如果未來國人用TWQR可以到日本、韓國、新加坡使用他們這些國家來到台灣也可以使用那甚至到新南向國家台灣的官方也可以使用連他們的移工在地的家屬也可以因為他們在台灣辦了TWQR之後他們的家人在他們的當地也可以使用有沒有這樣的可能 |
transcript.whisperx[282].start |
8306.984 |
transcript.whisperx[282].end |
8326.501 |
transcript.whisperx[282].text |
總裁最後的結論,因為主席站起來了我的結論就是我的標題,剛剛不讓你看滾動式調整雅致中心的外匯法規,可以嗎?可以啊剛剛我們局長點頭了那TWQR跨國掃碼前進性南向請哲成林董事長財經公司繼續努力可不可以訂個時程表跟計畫給我 |
transcript.whisperx[283].start |
8328.426 |
transcript.whisperx[283].end |
8330.387 |
transcript.whisperx[283].text |
主席 各位委員 初烈席 官員大家好主席 請楊總裁 |
transcript.whisperx[284].start |
8364.909 |
transcript.whisperx[284].end |
8379.159 |
transcript.whisperx[284].text |
我想現在全國的所有一些做貿易一些企業界大家都很關心就是新台幣兌美元匯率的走向我想請教一下 |
transcript.whisperx[285].start |
8380.291 |
transcript.whisperx[285].end |
8394.621 |
transcript.whisperx[285].text |
現在美國總統川普上任了以後那台幣未來的走向究竟是要穩定的曲扁還是要穩定的要升值 |
transcript.whisperx[286].start |
8397.79 |
transcript.whisperx[286].end |
8421.043 |
transcript.whisperx[286].text |
我跟委員報告事實上我都一直在講就是說匯率還是由市場來決定的中央銀行在外匯市場他沒辦法就是說因為他供需所以他要貶的時候你中央銀行不能就說強迫他要升中央銀行所能夠做的 |
transcript.whisperx[287].start |
8422.315 |
transcript.whisperx[287].end |
8440.409 |
transcript.whisperx[287].text |
他要生的時候你也要生,只是中央銀行能夠做的就是說讓他的波動度不要太大,就這樣子而已,所以才會就是說中央銀行主扁喔,對,有可能就是說我們主扁,為什麼?我們要讓他的波動度減緩 |
transcript.whisperx[288].start |
8441.73 |
transcript.whisperx[288].end |
8461.77 |
transcript.whisperx[288].text |
我們是主聲喔也可能我們主聲為什麼我們要讓這個新台幣的升幅呢要能夠它的波動度不要太大就是這樣子而已那既然從你剛剛所說的供需的這個需求來看的話美國總統川普他是美國優先嘛是不是那我們也可以看到台積電啊 |
transcript.whisperx[289].start |
8462.891 |
transcript.whisperx[289].end |
8476.73 |
transcript.whisperx[289].text |
他現在準備要投資多少一千億的美元在美國是不是增加啦增加嘛那表示說他有一千億會匯到美國去所以他需要美元的需求就會比較強 |
transcript.whisperx[290].start |
8477.871 |
transcript.whisperx[290].end |
8503.406 |
transcript.whisperx[290].text |
那也不一定不然他要投資美國他就說四年嘛這個是四年他就說四年所以四年每年要投多少深造大概也是八九千億一千億如果說除以四就一年兩百五十億那兩百五十億我跟委員報告事實上呢台積電他在賺美金他非常會賺 |
transcript.whisperx[291].start |
8505.032 |
transcript.whisperx[291].end |
8532.125 |
transcript.whisperx[291].text |
所以呢也就是說他事實上他不必要在外匯市場去買美金他自己賺的美金他就足夠他到那邊去總裁你的意思是說他以後台積電全世界賺的錢如果賺美金的部分他就不會回台灣不因為我跟委員報告請問他在美國的投資的資本支出他的金流是怎麼樣他的金流就是他的美金賺得啊 |
transcript.whisperx[292].start |
8532.847 |
transcript.whisperx[292].end |
8542.652 |
transcript.whisperx[292].text |
他賺的直接就投美國對 他賺的時候那就投美國所以你這樣講就是錢不會進來台灣啊錢不會進來台灣啊不過我跟那個250億就台積電來講250億不算什麼 |
transcript.whisperx[293].start |
8552.216 |
transcript.whisperx[293].end |
8577.185 |
transcript.whisperx[293].text |
可是對台灣的一些企業講,不要說是美金啊你光是台幣一億兩億,對中小企業影響都很大對,但是台積電它是比較特殊啦因為台積電喔,一個台積電它所賺的美金比那個,比那些的那個什麼,一些的那個那總裁,那台積電每一年賺多少美金?喔,據我瞭解呢,我據我瞭解,好好好,這個我們YHG要 |
transcript.whisperx[294].start |
8577.847 |
transcript.whisperx[294].end |
8597.714 |
transcript.whisperx[294].text |
好 請說台積電在2024年 去年是900億美金左右今年預估會到1000億美金以上 營收是 所以那我請教你他現在台積電 等一下局長你等一下因為你這個途徑可能不要知道他賺了錢 他錢不用匯回台灣嗎就在當地直接投資掉是不是 |
transcript.whisperx[295].start |
8600.022 |
transcript.whisperx[295].end |
8625.97 |
transcript.whisperx[295].text |
根據我們了解啦那他上次的投資他有在美國發債有部分的資金會從會在美國的子公司會發美元的債券那另外一個部分就是每年的營收的成長那當然每年的營收就是剛剛跟委員報告的一年像去年是九百億今年預估會到一千億九百億是台幣還是美金美金美金啊好謝謝總裁那這個數字你就可以知道他是相當龐大的齁台積電 |
transcript.whisperx[296].start |
8629.005 |
transcript.whisperx[296].end |
8634.281 |
transcript.whisperx[296].text |
跑掉了以後對台灣經濟的影響有多大 |
transcript.whisperx[297].start |
8636.317 |
transcript.whisperx[297].end |
8658.668 |
transcript.whisperx[297].text |
台積電對第一個我是覺得啦如果說就一個台積電不好講到這裡的時候我才跟委員報告基本上我們的主管機關也一直在強調就經濟部他說基本上百分之八十的業務還是集中在台灣 |
transcript.whisperx[298].start |
8659.622 |
transcript.whisperx[298].end |
8677.678 |
transcript.whisperx[298].text |
那個是比較低階的啊 比較低階的慢慢的 高階的 通通會移到美國去啊你不信的話 你聽那個美國總統川普講的話他是老太太啊 甚至還講到地緣關係發生變化的時候你都沒在怕啦 |
transcript.whisperx[299].start |
8681.721 |
transcript.whisperx[299].end |
8694.741 |
transcript.whisperx[299].text |
但是我覺得就是說我們的主管機關一直在強調台積電的A5的重心還是在台灣這是第一個第二個我們它的一個主要的研發中心還是在台灣 |
transcript.whisperx[300].start |
8697.945 |
transcript.whisperx[300].end |
8712.771 |
transcript.whisperx[300].text |
總裁那我請問他所有的技術跟人才過去美國以後以後美國的員工大概有多少人這個我不曉得他要成立一個研發中心在那邊他的研發中心據我了解為什麼美國總統川普他會說這些都是被偷走的 |
transcript.whisperx[301].start |
8721.882 |
transcript.whisperx[301].end |
8725.065 |
transcript.whisperx[301].text |
不是 他只是說我個人覺得啦川普總統他這麼說呢是他的一個話術 |
transcript.whisperx[302].start |
8733.667 |
transcript.whisperx[302].end |
8760.781 |
transcript.whisperx[302].text |
它是一個話術它是一個策略那基本上我都總覺得事實上我們台灣的這個半導體我們的直通訊這個是美國它最需要的所以美國在這一方面所以它就半導體這個部分它就盯著台灣因為我們在這二項我們的強項從以上的數據其實只是冰山的一角你有沒有算過 |
transcript.whisperx[303].start |
8762.762 |
transcript.whisperx[303].end |
8786.16 |
transcript.whisperx[303].text |
台積電過去以後它周邊的相關的周邊的這些上下游大概有幾家會過去不過我總覺得就是說當你在做國際化的時候你的選擇當然我在這方面我不是專家我只是說我個人的直覺 |
transcript.whisperx[304].start |
8788.662 |
transcript.whisperx[304].end |
8803.514 |
transcript.whisperx[304].text |
因為從國際貿易的一個觀點來看的話他那邊去接近市場接近他的客戶我總覺得這個也是很好第二個你要想想看事實上我們台灣第一個我們的土地也不夠 |
transcript.whisperx[305].start |
8805.051 |
transcript.whisperx[305].end |
8826.567 |
transcript.whisperx[305].text |
那美國他苦地大所以就是說他的資源台積電到美國去投資的時候他也可以利用到美國的資源當然美國的資源有些地方是成本會比較高總裁剛本席請教的是說台積電過去了以後周邊的上下游的企業 |
transcript.whisperx[306].start |
8827.788 |
transcript.whisperx[306].end |
8848.789 |
transcript.whisperx[306].text |
還有一些資本都已經過去慢慢過去這個也不一定請問這個也不一定為什麼呢已經就有一定的因為它過去有一些做無成事的通通過去了還有上下游周邊的很多都會過去有沒有算過這些如果說一起過去的話它對台灣的影響會有多大 |
transcript.whisperx[307].start |
8850.349 |
transcript.whisperx[307].end |
8874.6 |
transcript.whisperx[307].text |
我想企業是很會算的而且我總覺得他們是很靈活的據我了解現在就是說要到美國去的那些大部分都是在墨西哥墨西哥他就說在美國他也有產生墨西哥他是比較龐大那現在就是說因為他要對墨西哥扣稅所以他也就是說我們台商在墨西哥那邊他就想就是說 |
transcript.whisperx[308].start |
8875.1 |
transcript.whisperx[308].end |
8900.568 |
transcript.whisperx[308].text |
那如果說在這樣情況之下 在關稅的情況之下他可能把他的一個作業線 要挪到美國去所以你的意思是說都沒關係就對了不是這樣子 不過企業他的一個國際化我總覺得這一條路還是要走的我們一看到台積電一去美國的時候就發現 你有沒有發現一個事情台積電股票漲還低 |
transcript.whisperx[309].start |
8904.335 |
transcript.whisperx[309].end |
8921.949 |
transcript.whisperx[309].text |
1200多塊馬上跌破1000塊市場告訴了總裁什麼總裁告訴你什麼大家的害怕完全就展現出來了這還有一個影響請問台積電是台灣的護國神山你知道它的市值有多少 |
transcript.whisperx[310].start |
8929.862 |
transcript.whisperx[310].end |
8932.166 |
transcript.whisperx[310].text |
他的柿子,我現在有三條所以他每長一點 |
transcript.whisperx[311].start |
8938.742 |
transcript.whisperx[311].end |
8962.092 |
transcript.whisperx[311].text |
對台股的影響有多大?他是8點嘛所以你看台灣現在股市已經連番下跌這幾天跌很多不過我們的股我跟委員報告我們的2萬多到目前為止2萬多還好啦那總裁台積電跑掉了以後你覺得台股2萬點是不是常態? |
transcript.whisperx[312].start |
8963.816 |
transcript.whisperx[312].end |
8973.782 |
transcript.whisperx[312].text |
這個我不敢預測因為我不是股市專家台積電跑掉了以後台股有沒有機會上看三萬點 |
transcript.whisperx[313].start |
8976.583 |
transcript.whisperx[313].end |
8995.383 |
transcript.whisperx[313].text |
這個我不曉得,我不是股市的專家這只是一個代表對他的經濟未來的期待跟感覺就好像黃金國際的首飾一樣,本席在七年前 |
transcript.whisperx[314].start |
8997.369 |
transcript.whisperx[314].end |
9014.554 |
transcript.whisperx[314].text |
六年前五年前三年前還有去年多次建議央行總裁要不要考慮買進黃金總裁的回答是我建議的時候是每盎司1270塊的時候現在黃金每盎司多少錢 |
transcript.whisperx[315].start |
9025.132 |
transcript.whisperx[315].end |
9045.122 |
transcript.whisperx[315].text |
我在去年的那個我也有跟委員報告啦我也佩服委員啦但是呢我也說但是中央銀行的考量是又跟一般的不大一樣這個不考量那個虛擬貨幣你現在態度支不支持虛擬貨幣總統所講的五大虛擬貨幣他要作為什麼戰略儲備 |
transcript.whisperx[316].start |
9052.576 |
transcript.whisperx[316].end |
9053.485 |
transcript.whisperx[316].text |
現在你是不是也要跟進 |
transcript.whisperx[317].start |
9055.035 |
transcript.whisperx[317].end |
9082.332 |
transcript.whisperx[317].text |
到目前為止我們是不會啦不過我們會密切關注啦你現在支不支持台灣做虛擬貨幣因為那個什麼叫戰略儲備的這個名詞這個東西虛擬的比特幣還有其他的虛擬貨幣是不是能夠當作戰略儲備這個我到目前為止我還是稍微有一點Question啦稍微Question啦 |
transcript.whisperx[318].start |
9082.512 |
transcript.whisperx[318].end |
9103.299 |
transcript.whisperx[318].text |
希望你多考量啊但是你不要違背川普啊你不要忤逆川普啊全世界的潮流在改變的時候我們還要顧不知風嗎我建議你虛擬貨幣比特幣的時候是一枚六千塊美金現在多少了多少 |
transcript.whisperx[319].start |
9104.56 |
transcript.whisperx[319].end |
9118.077 |
transcript.whisperx[319].text |
之前漲到十萬塊美金一枚我只是提醒央行世界在變的時候我們一定要顧不知風嗎世界在改變的時候我們沒有一點檢討或思考的空間嗎 |
transcript.whisperx[320].start |
9122.221 |
transcript.whisperx[320].end |
9132.849 |
transcript.whisperx[320].text |
新台幣的數字貨幣什麼時候要推出我們這個會期還在等待謝謝羅委員的質詢羅委員每次報名牌央行總算不聽大家可以聽啦大家可以聽就會賺啦好 我們休息十分鐘 |
transcript.whisperx[321].start |
9751.809 |
transcript.whisperx[321].end |
9755.811 |
transcript.whisperx[321].text |
向委員報告我們繼續開會下一位質詢請黃珊珊委員質詢請現在主席有請總裁楊總裁請 |
transcript.whisperx[322].start |
9780.274 |
transcript.whisperx[322].end |
9801.754 |
transcript.whisperx[322].text |
黃委員長總幹長我想今天大家都很關心就看到央行的報告非常的完整但是接下來台灣面對的可能很多新的挑戰那主要是昨天總預算案覆議沒有完成所以電價包括撥補的錢可能沒有辦法到位台電 |
transcript.whisperx[323].start |
9803.642 |
transcript.whisperx[323].end |
9831.052 |
transcript.whisperx[323].text |
3月28號要開電價審議委員會總裁去年此時因為當時3月21號央行禮監事會預計電價可能會調漲所以形成高通膨的預期所以提高了半碼那這一次下個禮拜央行又要開禮監事會了那你認為電價會在你的禮監事會有可能有做所謂升息的打算嗎 |
transcript.whisperx[324].start |
9833.921 |
transcript.whisperx[324].end |
9850.895 |
transcript.whisperx[324].text |
升息是由我們的理事來決定的那基本上我們去年12月的時候我們是估測說我們的通膨就是說是CPI是1089 |
transcript.whisperx[325].start |
9852.256 |
transcript.whisperx[325].end |
9863.538 |
transcript.whisperx[325].text |
1.89還不到2所以有沒有可能在電價調漲之後會超過2那如果說是對就是說會接近2類為可能會升高於所以通膨可能會比我們預期的高不過我總覺得長就那個來講的話我們的通膨是慢慢在下來的 |
transcript.whisperx[326].start |
9879.521 |
transcript.whisperx[326].end |
9901.998 |
transcript.whisperx[326].text |
因為前一陣子因為疫情的關係因為有物料的關係因為其他的相關戰爭的關係所以看起來你有很大篇幅在說川普新政我想請問總裁因為全世界都不知道川普下一步會怎麼做所以其實是一個高度不確定是沒有錯他的新政你認為說他會舒緩通膨還是加劇通膨 |
transcript.whisperx[327].start |
9905.514 |
transcript.whisperx[327].end |
9919.464 |
transcript.whisperx[327].text |
就一般市場來看的話市場大部分都會認為是它會加劇通膨因為加了關稅嘛加了關稅不太可能不漲價然後美國人民的生活可能更辛苦但是它又要 |
transcript.whisperx[328].start |
9920.525 |
transcript.whisperx[328].end |
9937.25 |
transcript.whisperx[328].text |
課高關稅讓美國人民不用繳稅這個政策實在是有點特別但是一樣如果說會加劇通膨加劇通膨的情況下台灣也會受到影響因為我們的關稅也會被他加然後我們也可能要加他的關稅 是嗎 |
transcript.whisperx[329].start |
9939.95 |
transcript.whisperx[329].end |
9959.248 |
transcript.whisperx[329].text |
對我們的通膨的影響美國如果說他加關稅那事實上我們報告也有講到就是說他現在我們比較在我們的那個第幾頁這邊我們也談到他加徵特別是對我們的那個什麼我們的所以對我們的通膨有沒有影響 |
transcript.whisperx[330].start |
9960.71 |
transcript.whisperx[330].end |
9981.511 |
transcript.whisperx[330].text |
基本上我們在這邊影響不大你認為影響不大接下來就是我們預期的經濟成長是3點多美國看起來有很多的人說美國川普也說他可能會經過正痛期不排除下修請問我們的經濟成長率有可能受到影響而下修嗎 |
transcript.whisperx[331].start |
9983.152 |
transcript.whisperx[331].end |
9987.515 |
transcript.whisperx[331].text |
我們的經濟成長率以目前是3.14%國內外的機構是差不多3.04%如果說美國的經濟下修的時候,台灣的經濟也會受到影響 |
transcript.whisperx[332].start |
10002.463 |
transcript.whisperx[332].end |
10020.456 |
transcript.whisperx[332].text |
第二個部分就是最近最熱門的話題也是大概我將全世界的經濟市場都受到很大的影響是3月6號川普簽署了行政命令把美國政府要求他成立比特幣的成為戰略儲備這是前所未有的所以我想問一下總裁 |
transcript.whisperx[333].start |
10021.436 |
transcript.whisperx[333].end |
10038.041 |
transcript.whisperx[333].text |
對台灣來說對央行來說我們一直把虛擬貨幣當成一個高投資高風險的相關的所謂的商品交易現在美國這樣子的做法你認為我們要怎麼樣去看待未來對於比特幣對於虛擬貨幣央行的立場 |
transcript.whisperx[334].start |
10042.309 |
transcript.whisperx[334].end |
10069.347 |
transcript.whisperx[334].text |
我覺得我跟委員報告還是你還是認為它是高風險我到目前為止沒有辦法成為正常的運作但是對一個全世界最大的美國它把它變成戰略儲備就是一個很大很大的變革所以我們要怎麼去看待如果說就這個戰略儲備的這個定義來看的話戰略儲備就是因為它要有信心它才會儲備在那邊跟黃金一樣 |
transcript.whisperx[335].start |
10072.368 |
transcript.whisperx[335].end |
10097.859 |
transcript.whisperx[335].text |
這個東西是虛的他幹嘛儲備表示美國已經把它定性成為一個可以讓人民或者是在戰爭的時候他可以拿來安定人心的東西我們是不是這樣想的還是我們還是把它當成你們只是投機的商品到目前為止我也不是說那個比特幣這是投機的我們只是說它是一個價格 |
transcript.whisperx[336].start |
10098.479 |
transcript.whisperx[336].end |
10119.255 |
transcript.whisperx[336].text |
波動非常大 價格波動非常大當它進入了所謂美國戰略儲備之後它其實現在的價格是回跌第二個因為放在那裡大家反而對於虛擬貨幣要有新的認識我說立場很簡單我們不可能自外於世界所以總裁這是一個未來的世界它必須要被正視 |
transcript.whisperx[337].start |
10120.196 |
transcript.whisperx[337].end |
10146.882 |
transcript.whisperx[337].text |
接下來金管會也會成立虛擬資產的專法在台灣的虛擬資產管理會往前走一步所以我必須要現在這個時間點請央行的總裁在虛擬貨幣已經成為美國戰略儲備的同時我們怎麼樣去面對這個我們從來未知的世界尤其是戰略儲備將來是不是在台灣我們開放了虛擬資產交易平台以後 |
transcript.whisperx[338].start |
10147.822 |
transcript.whisperx[338].end |
10169.317 |
transcript.whisperx[338].text |
所有的業者他必須要做法幣的儲備一樣要做虛幣的儲備但是虛幣如果我們沒有相關的存款保不像我們有存保公司它可能將來會產生所謂的市場的混亂甚至倒閉所以虛擬的儲備可能也是我們將來必須要走的路同樣的央行這邊 |
transcript.whisperx[339].start |
10170.765 |
transcript.whisperx[339].end |
10177.567 |
transcript.whisperx[339].text |
可以協助或幫忙金管會要求這些未來的虛幣業者他們除了儲蓄實體的貨幣之外也必須儲備所謂的他們的虛幣而儲備虛幣就成為一個很重要 |
transcript.whisperx[340].start |
10187.65 |
transcript.whisperx[340].end |
10201.436 |
transcript.whisperx[340].text |
維持市場秩序的重要的工作就像當年很多銀行倒閉 擠兌所以成立了存保公司總裁 你認為將來台灣有沒有必要有可能要成立虛幣的存保公司 |
transcript.whisperx[341].start |
10203.632 |
transcript.whisperx[341].end |
10230.681 |
transcript.whisperx[341].text |
委員事實上我覺得委員的分析是沒有錯這是一定會來的只是什麼時候到我們要面對這個議題我們要面對這個議題所以我希望總裁從今天開始研議這個議題第二個虛幣要開始開放在台灣管理了他們業者已經要正式合法登記了接下去一定會發生有人倒閉了虛幣沒辦法付的時候我們怎麼辦如果 |
transcript.whisperx[342].start |
10231.281 |
transcript.whisperx[342].end |
10240.351 |
transcript.whisperx[342].text |
美國政府已經做了所謂的貨幣儲存戰略儲備它一定有它的市場意義跟價值台灣面對開放的市場 |
transcript.whisperx[343].start |
10242.478 |
transcript.whisperx[343].end |
10266.324 |
transcript.whisperx[343].text |
世界的競爭我們不可能自外於這個世界好嗎這也是可能總裁必須面對這些我們從來沒有碰過的問題是是沒有錯沒有錯而且呢我也想我希望你在一兩個月之內告訴我一下你們跟金管會有沒有針對這邊相關未來開放市場以後這些問題可能我們現在都要做好準備好好 |
transcript.whisperx[344].start |
10267.624 |
transcript.whisperx[344].end |
10290.852 |
transcript.whisperx[344].text |
我們目前我們是來協助他把這個專法通過了以後一定會發生倒閉的狀況下沒有辦法兌現的時候那時候的消費者權益的保護現在就必須要開始準備加上川普已經把它列為世界上面重要的儲備貨幣我覺得我們不能 |
transcript.whisperx[345].start |
10293.653 |
transcript.whisperx[345].end |
10317.815 |
transcript.whisperx[345].text |
小看這件事好不好因為它比一般的貨幣更好貨幣呢美金可以一直不斷的硬美鈔不斷的硬但是虛幣有它的穩定性因為它的總量是管制的好嗎第二個現在全世界國際清算銀行都要求各國希望大家都能夠用AI掌握經濟資訊請問這是央行現在正在做的事嗎 |
transcript.whisperx[346].start |
10318.84 |
transcript.whisperx[346].end |
10339.17 |
transcript.whisperx[346].text |
人工智慧人工智慧事實上就人工智慧來講我們各個產業對AI的應用事實上如火如荼的在所以我們也算是跟上了我們也是中央銀行也是不會有任何的落後對人工智慧你大概也跑不掉了你沒有應用的話將來就是輸給人家沒有錯第三個部分時間暫停我們請財經公司 |
transcript.whisperx[347].start |
10348.813 |
transcript.whisperx[347].end |
10353.559 |
transcript.whisperx[347].text |
最近LiPay已經要申請電子支付了嘛 |
transcript.whisperx[348].start |
10354.688 |
transcript.whisperx[348].end |
10382.006 |
transcript.whisperx[348].text |
所以接下去我們財經公司有建制共同支付的TWQR是不是LiPay這麼大的支付系統也應該趕快加入跟委員報告我們希望他加入希望他加入因為他現在正在申請走程序還有一段時間但是財經公司可以先去完成這件事情我們希望LiPay成為你們的系統之一才不會變成你們有一個又獨立的在外面好嗎 |
transcript.whisperx[349].start |
10382.766 |
transcript.whisperx[349].end |
10404.88 |
transcript.whisperx[349].text |
是的第二個你們現在推廣到日本跟韓國有沒有考慮去南向跟委員報告有的但是就是我們的推廣的方式就根據國人跟在出國的是啊新南向是我們政府的重要政策新加坡都已經跟泰國印度馬來西亞印尼都已經做好簽約我們目前只有日本跟韓國 |
transcript.whisperx[350].start |
10405.68 |
transcript.whisperx[350].end |
10427.574 |
transcript.whisperx[350].text |
跟委員報告我們現在也正跟新加坡在磋商當中我們希望今年會有一個結果好 把你的工作跟時程告訴我們因為國人喜歡去東北亞但是也很喜歡去東南亞是的好嗎好 謝謝總裁好 謝謝洪委員的質詢下一位請林思敏委員質詢請 |
transcript.whisperx[351].start |
10436.929 |
transcript.whisperx[351].end |
10440.031 |
transcript.whisperx[351].text |
好 謝謝主席 我們請楊總裁林委員早好 總裁早 總裁我想本席今天就將全國民眾最關心的幾項國內外的議題 包含川普上台政府如何因應還有烏俄戰爭仍然持續這樣的國際情勢我們台灣應該如何面對來向總裁就教 |
transcript.whisperx[352].start |
10467.048 |
transcript.whisperx[352].end |
10480.216 |
transcript.whisperx[352].text |
根據央行在去年12月19號發布的經濟預測去年的經濟成長率上修到4.25%今年則預測大概是3.13%同時中研院經濟所也預測今年的成長率大概是3.1% |
transcript.whisperx[353].start |
10490.302 |
transcript.whisperx[353].end |
10502.85 |
transcript.whisperx[353].text |
而關於貨幣的調整央行也已經連續三次維持基準率大概是在2%不變我想請問說我們今年下修的原因是什麼 |
transcript.whisperx[354].start |
10508.476 |
transcript.whisperx[354].end |
10529.012 |
transcript.whisperx[354].text |
經濟成長率今年會下修的原因是什麼事實上我覺得我有看過那個因為我們現在我們在3月20號我們會有另外一個focus但是我覺得主計總署他下修的一個 |
transcript.whisperx[355].start |
10531.074 |
transcript.whisperx[355].end |
10558.909 |
transcript.whisperx[355].text |
讓我知道的就是說他下修的一個很重要的一個因素是在於他的那個什麼存貨的調整存貨的調整對存貨調整也就是說他的民間的投資的這個部分呢不像他上一次所預期的那麼的高是因為存貨調整他本身呢本身是屬於民間投資的部分 |
transcript.whisperx[356].start |
10559.409 |
transcript.whisperx[356].end |
10573.886 |
transcript.whisperx[356].text |
總裁我想這個當然是或許他下修的原因之一但是我告訴你依據這個主席總署他在2月26號他發布國內經濟預測表示是因為立法院 |
transcript.whisperx[357].start |
10574.827 |
transcript.whisperx[357].end |
10597.941 |
transcript.whisperx[357].text |
三減預算會削弱成長的動能因此下修今年經濟成長率到3.14%跟他原先預測的數減少了大概0.15%所以我想請教總裁是說這個主計總署他說調降GDP的理由是因為立法院三減預算 |
transcript.whisperx[358].start |
10599.73 |
transcript.whisperx[358].end |
10613.702 |
transcript.whisperx[358].text |
您同意嗎?你覺得這個因素要去考量下去,他這樣的講法成立嗎?是啦,你們不是也有一張表嗎?有一張表,對。 |
transcript.whisperx[359].start |
10615.764 |
transcript.whisperx[359].end |
10628.076 |
transcript.whisperx[359].text |
對就是說我看他的那個表他的表裡面除了剛剛我所講的就是說他的存貨的調整以外民間的消費政府的支出的這個部分 |
transcript.whisperx[360].start |
10634.366 |
transcript.whisperx[360].end |
10650.548 |
transcript.whisperx[360].text |
主財 主財我這樣好了啦 主財其實我比較關心的是說他講的其中一個因素就是因為我們立法院刪減了這次的一個預算所以也是造成說我們成長動能的削弱的原因 |
transcript.whisperx[361].start |
10652.27 |
transcript.whisperx[361].end |
10660.594 |
transcript.whisperx[361].text |
根據我們的資料我所掌握的我想請教總裁的我的意思就是說他這樣的說法說經過刪減後會影響整個我們政府未來的投資以及消費而導致GDP的下降剛才你也提到本月20號將會央行要召開理事會 |
transcript.whisperx[362].start |
10680.143 |
transcript.whisperx[362].end |
10698.938 |
transcript.whisperx[362].text |
所以央行會有新的2025年就今年的GDP的預測所以這個如果在20號的理事會到時候會不會將三讀後的政府總預算的金額的結果也列為我們預測的因素之一是 |
transcript.whisperx[363].start |
10700.341 |
transcript.whisperx[363].end |
10720.916 |
transcript.whisperx[363].text |
我想剛剛我們如果看主席總署的這個表是沒有錯他也講到政府支出的這個部分他是下修了0.08那存後這邊民間的投資也有下修那公營的也有下修0.01那這個是主要還有政府的消費也下修了0.01 |
transcript.whisperx[364].start |
10722.257 |
transcript.whisperx[364].end |
10742.916 |
transcript.whisperx[364].text |
這個是導致了他的那個這個我了解我可以一直說因為他一直強調說是因為立法院刪減總預算的一個結果那我們呢所以未來你們在20號的央行的理事會您認為會考量這個因素嗎因為我覺得這是非常他這個主計總書的說法是非常不正確的 |
transcript.whisperx[365].start |
10743.857 |
transcript.whisperx[365].end |
10764.443 |
transcript.whisperx[365].text |
因為今年總預算通過的數額是歷史新高兩兆九千兩百四十八億比去年增加了一千三百六十八億創歷史的新高你竟然講說會影響政府的投資及消費而導致GDP的下降 |
transcript.whisperx[366].start |
10766.322 |
transcript.whisperx[366].end |
10770.945 |
transcript.whisperx[366].text |
這個說法正確嗎?不過根據他的這個數據來看的話0.08加上0.01的0.09再加上0.01就將近是0.1啦他上一次是3.29嘛 |
transcript.whisperx[367].start |
10784.993 |
transcript.whisperx[367].end |
10813.442 |
transcript.whisperx[367].text |
所以他把他下修到0.15%他本身的政府的這個部分他就下修0.1%是啦但是總裁我的重點不在這裡他一直講說是因為立法院刪減總預算造成他GDP要下修我說這樣的說法其實是不正確的我也希望說央行在20號的理事會你對於這個重新評估我們今年的GDP的下修我們會 |
transcript.whisperx[368].start |
10814.142 |
transcript.whisperx[368].end |
10831.813 |
transcript.whisperx[368].text |
第一個我們會再重新評估我們的但是你要把這個因素你要列入嗎這個根本是不成立的嘛因為這個數據呢這個數據呢他雖然就是說是就說是在這裡沒關係啦這個我是表達我的意見是是是我想另外因為時間的關係我再請問你一下 |
transcript.whisperx[369].start |
10834.755 |
transcript.whisperx[369].end |
10852.38 |
transcript.whisperx[369].text |
因為在昨天的復議案的質詢中卓院長表示說台電千億撥補如果落空台電將被迫調電價所以我想請問如果說台電因為錯誤的能源政策而在不給補助的情況之下來調漲電價 |
transcript.whisperx[370].start |
10854.744 |
transcript.whisperx[370].end |
10869.997 |
transcript.whisperx[370].text |
那麼是否會造成萬物齊漲就通膨的一個壓力應該是不會就是說萬物齊漲也不會你是認為不會所以央行後續會有升息的壓力嗎因為就是說我們上一年我們的我們的預測是1.89 |
transcript.whisperx[371].start |
10873.059 |
transcript.whisperx[371].end |
10879.304 |
transcript.whisperx[371].text |
如果說我們考量到電價的調整還有其他的工用事業的匯率的調整我們大概也會接近2% |
transcript.whisperx[372].start |
10887.791 |
transcript.whisperx[372].end |
10899.707 |
transcript.whisperx[372].text |
所以就是因為台電調漲電價會造成我們整個CPI的年增率會增加所以大概就會上漲到大概就會破2%左右你預期就2%左右不會再繼續往上嗎 |
transcript.whisperx[373].start |
10905.855 |
transcript.whisperx[373].end |
10927.193 |
transcript.whisperx[373].text |
應該如果說直接的直接的影響是這樣子那如果說他有說什麼通膨逸期的心理我再想這一次應該不會了我想我希望你的預測只是準的我們再看一下國外的情勢就是川普上任之後關於美國在新的經貿政策所帶來的影響 |
transcript.whisperx[374].start |
10928.214 |
transcript.whisperx[374].end |
10949.471 |
transcript.whisperx[374].text |
川普的經貿政策被我們公認為影響我國經濟的成長的重要變數包含台積電我們剛剛一直提到也已經確定要去赴美投資一千億美元所以央行目前有沒有制定哪些具體的因應策略以降低因應國際形勢的外部不確定性對我國經濟與匯率的一個影響 |
transcript.whisperx[375].start |
10956.917 |
transcript.whisperx[375].end |
10982.042 |
transcript.whisperx[375].text |
以及在全球經濟存在下行風險的情況之下未來是否有需要調整貨幣政策以確保我國經濟的穩定性還有台積電如果赴美的新投資是否會影響我國未來我們的GDP的成長對台灣經濟發展的前景會有何影響我想你現在不用用口頭回答我這幾個問題請你用書面來答覆我 |
transcript.whisperx[376].start |
10984.722 |
transcript.whisperx[376].end |
11010.409 |
transcript.whisperx[376].text |
另外我們針對央行房市管制的措施央行決定連續三次維持基準利率在2%不變也會推出新的房市的管制措施到今年2月底央行已經進行專案經檢總共170次所以請問央行在進行7次的調整選擇信用管制的措施後 |
transcript.whisperx[377].start |
11011.609 |
transcript.whisperx[377].end |
11022.575 |
transcript.whisperx[377].text |
現在暫時沒有新的管制措施這是否意味說央行已經認為國內的房價以及房市的交易已經達到央行可以接受的平穩狀況 |
transcript.whisperx[378].start |
11025.989 |
transcript.whisperx[378].end |
11054.308 |
transcript.whisperx[378].text |
我們在報告裡面我們有談到就是說基本上呢我們第一個就是說疫情心理是有下來了第二個呢它的那個集中度是集中度就是說我們金融機構放款給這個不動產的這個集中度呢慢慢的再下來了37點多現在下降下來另外呢就是說給無自用自宅的資源呢慢慢再上升了 |
transcript.whisperx[379].start |
11054.948 |
transcript.whisperx[379].end |
11074.98 |
transcript.whisperx[379].text |
這個有達到我們初步的一個效果但是我們現在目前我們有兩個方向第一個因為我們在去年八月的時候我們希望在他們在一年之內做這個資源的一個調整那這個我們每季每次都會我這樣問你最後的結論就是說未來因為現在你說已經達到平穩的效果 |
transcript.whisperx[380].start |
11078.902 |
transcript.whisperx[380].end |
11092.827 |
transcript.whisperx[380].text |
對 所以未來有沒有可能會有第八次的新聞管制措施我們滾動式檢討 滾動式檢討好 以上好 謝謝林思敏委員的諮詢 下一位請李官成委員諮詢好 你先站著 所以說夠了嗎 可以 |
transcript.whisperx[381].start |
11110.273 |
transcript.whisperx[381].end |
11111.578 |
transcript.whisperx[381].text |
謝謝主席那我們請楊總裁 |
transcript.whisperx[382].start |
11116.315 |
transcript.whisperx[382].end |
11138.046 |
transcript.whisperx[382].text |
跟那個委員總裁今天被尋一個早上其實也辛苦了謝謝你那個總裁去年的這個3月的時候其實我們在這邊也質詢過總裁那我覺得這個時間好像有倒流到這個去年這個時光去年的3月的這個李建勢央行的李建勢會議記者會上 |
transcript.whisperx[383].start |
11140.327 |
transcript.whisperx[383].end |
11162.736 |
transcript.whisperx[383].text |
然後這個總裁就說當時升息半碼主要是為了抑制就講去年4月電價上漲引發的國內通膨的預期的心理那當然這個升息半碼會讓市場覺得有點surprise但是這是合理的一個決定那我記得到時候大家在質詢的時候那外界有給總裁一個封號叫做Mr. |
transcript.whisperx[384].start |
11162.736 |
transcript.whisperx[384].end |
11163.777 |
transcript.whisperx[384].text |
Surprise |
transcript.whisperx[385].start |
11164.777 |
transcript.whisperx[385].end |
11187.603 |
transcript.whisperx[385].text |
那我覺得說這是去年三月的事情怎麼到了今年三月份我們在討論這個事情好像有這個既視感好像跟去年的這個時候也差不多第一個國內今年的一二月呢消費者物價指數CPI呢平均年增率超過百分之二的這個通貨警戒線第二個呢海鐵呢恐怕會調漲的部分的費用那加上呢 |
transcript.whisperx[386].start |
11188.783 |
transcript.whisperx[386].end |
11215.1 |
transcript.whisperx[386].text |
這個台電的兩千億的預算被債項砍掉了所以電價也面臨了調漲的壓力所以後續物價有可能有上漲的一些壓力第三個就是說美國川普總統上任那會加徵關稅然後聯準會的貨幣政策有可能會造成CPI的指數無法回落到1.5%以下所以本席再請教總裁 |
transcript.whisperx[387].start |
11216.161 |
transcript.whisperx[387].end |
11229.998 |
transcript.whisperx[387].text |
那這個外界在預期說下個禮拜的這個央行的禮監事會議之後是否會採取這個預防性的申請因為好像去年的這個情況跟現在的這個情況好像也差不多 |
transcript.whisperx[388].start |
11233.931 |
transcript.whisperx[388].end |
11253.087 |
transcript.whisperx[388].text |
總裁你不覺得好像我去年講的這些東西跟今年的遇到的狀況好像有點類似我覺得委員掌握我們整個的邏輯跟說法還有整個經濟金融的情況掌握得非常好 |
transcript.whisperx[389].start |
11253.968 |
transcript.whisperx[389].end |
11278.444 |
transcript.whisperx[389].text |
那我想第一個我們還是由委員我們的理事來決定當然了來決定那當然就是說委員在講就說那個去年的情況跟今年的情況好像是有一點類似對啊你那時候就是怕說會有預期性的這個通膨的心理嘛所以就升息的辦嘛所以去年這個情況跟今天情況好像差不多啊不過我想我們3月20號就會揭曉 |
transcript.whisperx[390].start |
11285.899 |
transcript.whisperx[390].end |
11314 |
transcript.whisperx[390].text |
那我請教總裁現在這個情況跟去年的情況有沒有有點類似是有一點類似有點類似那這檔案好像呼之欲出不過也就是說我們要想就是說雖然就是說情況有一點類似不過第一個我們也會考慮到就是說我們的雖然就是說這個通膨會上修但是雖然是在2%左右那我們要不要很擔心這個是第一個 |
transcript.whisperx[391].start |
11314.901 |
transcript.whisperx[391].end |
11339.176 |
transcript.whisperx[391].text |
第二個我們長期還是認為我們的通膨還是有下來的一個趨勢那我們是不是也要考量第二個我們也會考量到現在的不確定性不管是對通膨的不確定性或是對經濟的不確定性我們必須要更關心它 |
transcript.whisperx[392].start |
11340.339 |
transcript.whisperx[392].end |
11350.616 |
transcript.whisperx[392].text |
那其實我聽總裁這樣講如果真的下禮拜開會有升息辦嘛我覺得大概也沒有這麼 surprise 是不是 |
transcript.whisperx[393].start |
11351.96 |
transcript.whisperx[393].end |
11374.087 |
transcript.whisperx[393].text |
不過就是說因為在這邊因為是理事共同來討論的我在這邊好像也不便多說那剛才總裁有提到很多次提到這個不確定性我剛才在答覆其他的立委的時候也提到這個有關川普總統上台之後那其實去年的11月我也問過 |
transcript.whisperx[394].start |
11375.727 |
transcript.whisperx[394].end |
11404.89 |
transcript.whisperx[394].text |
這個總裁那時候川普當選那我就問總裁我就說這個川普當選的心情會怎麼樣那總裁那時候的回答是說呢這個政策是不容易預測那就是有不確定性那所以呢這個市場金融市場如果有這個不確定性呢就是一個很大的問題那我看這個總裁今天報告也很多次出現這個不確定性那經過了這一個半年再來看那這個不確定性還是很高嗎事實上呢 |
transcript.whisperx[395].start |
11406.249 |
transcript.whisperx[395].end |
11420.406 |
transcript.whisperx[395].text |
所以我們在這邊第六頁這邊有講到就是說那個時候呢都對川普的交易呢非常樂觀所以你看碰碰碰他美國的這些的數據包括股市啦美元啦還有那個公債的利率啊都是 |
transcript.whisperx[396].start |
11421.147 |
transcript.whisperx[396].end |
11438.446 |
transcript.whisperx[396].text |
表達非常對美國非常的樂觀不過呢最近呢我想委員知道他現在的這個樂觀的情緒呢是慢慢在correction但是呢他的correction呢我個人解讀啊只是說是恢復到9月以前的 |
transcript.whisperx[397].start |
11439.447 |
transcript.whisperx[397].end |
11460.951 |
transcript.whisperx[397].text |
所以沒有就是說是特別的壞也沒有就是說特別的壞所以現在市場有一股認為就是說美國好像現在要進入衰退期事實上這是一個對於樂觀的預期現在是一個correction也就是現在是cool down的時候 |
transcript.whisperx[398].start |
11461.611 |
transcript.whisperx[398].end |
11476.636 |
transcript.whisperx[398].text |
先是一個擴盪那擴盪呢擴盪其實跟去年九月其實預期是差不多啦當初的預期會比較高所以這個就是說人類的心理投資人的一個心理就是這樣市場的心理就是這樣子 |
transcript.whisperx[399].start |
11477.256 |
transcript.whisperx[399].end |
11506.096 |
transcript.whisperx[399].text |
那我請教一下台積電的問題我剛剛很多委員都提到那其實台積電加碼投資美國一千億美元那台積電的董事長魏哲嘉其實還有提到他說先進的研發中心都是在台灣不論是兩奈米1.6奈米1.4奈米甚至一奈米都是在台灣是真正的研發中心那台積電在美國的研發中心規模大概是一千人那他主要是做什麼呢 |
transcript.whisperx[400].start |
11506.596 |
transcript.whisperx[400].end |
11533.242 |
transcript.whisperx[400].text |
生產線的製程優化跟我們剛才提到的那個所謂的這個真正研發中心是不一樣的那美國台商的會長韓如柏呢他這兩天呢有一個演講川普關稅台灣基金片那他有提到說呢川普呢總統一直在強調半導體產業對美國未來的重要性那中國大陸呢也知道這個弱點而且試圖利用它最近就指控呢這個 |
transcript.whisperx[401].start |
11535.142 |
transcript.whisperx[401].end |
11558.829 |
transcript.whisperx[401].text |
中國指控台灣把台積電當作伴手禮送給他人煽動本來就已經緊張的國內情勢這不是只有共產黨在講我看很多在野黨在講台積電會變成美積電那我再請教一下因為也有一些學者提到說這個台積電加碼投資一千億會造成衝擊到台灣的會市那請教一下會有這個衝擊嗎 |
transcript.whisperx[402].start |
11561.233 |
transcript.whisperx[402].end |
11570.14 |
transcript.whisperx[402].text |
所以我剛剛事實上我們外匯局也有去請教過台積電他的財務處基本上就我所了解的 |
transcript.whisperx[403].start |
11578.067 |
transcript.whisperx[403].end |
11605.485 |
transcript.whisperx[403].text |
對匯市因為他就是說要多增加一千億的投資一千億的投資剛剛我同仁也在講就是說事實上也不是一次到位對因為他是四年也就是說一年是兩百五十億一年如果說就用這樣評論但是台積電很會賺錢而且他賺的都是外幣都是美元所以我剛剛我同仁也有去請教他們他們一年的營收是將近一千億美元 |
transcript.whisperx[404].start |
11606.546 |
transcript.whisperx[404].end |
11624.061 |
transcript.whisperx[404].text |
所以說你看看它的營收那麼的龐大所以對外市場我覺得應該是我認為是不會有影響我想央行總裁講話這個份量就夠因為外界有一些人說將台積電去投資會衝擊到台灣的會市 |
transcript.whisperx[405].start |
11629.326 |
transcript.whisperx[405].end |
11641.874 |
transcript.whisperx[405].text |
會是如果說以我們現在所掌握的數據還有包括他們告訴我們的基本上也就是說像他1000例而且你看他的1000例事實上他也可以在美國他也可以在美國籌資對 |
transcript.whisperx[406].start |
11643.695 |
transcript.whisperx[406].end |
11663.537 |
transcript.whisperx[406].text |
它也可以在那邊籌資還有包括它本身的營收又那麼龐大所以我總覺得對我們的外市場的一個衝突不過我也會跟委員報告啦事實上呢我們每天對於我們的廠商的一個會市這個結構結束我們都會密切的注意它 |
transcript.whisperx[407].start |
11664.158 |
transcript.whisperx[407].end |
11690.94 |
transcript.whisperx[407].text |
有啦 我也看到你們報告遊戲我們每天每天都是注意這個去年的主會主要是這個賣匯主要是這個主匯啦就是這個主貶啦怕這個新台幣貶太多啦效果也還不錯啦相對其他的這個亞洲國家來講剩下一點時間我請教總裁就是說這個賴總統提到說這個五百元的紙鈔有可能會做改版 |
transcript.whisperx[408].start |
11691.781 |
transcript.whisperx[408].end |
11720.432 |
transcript.whisperx[408].text |
那甚至會做這一個紀念幣那我問一下這個目前有在做這個籌備的工作嗎我們對於就是說這個對於這個就是說我們的這個就是說我們的這一次那我先講那個紙擦好了對我們不是我們有在規劃就是說用紀念幣或紀念鈔的一個方式紀念幣特別是紀念幣這個部分我們要用這樣來 |
transcript.whisperx[409].start |
11721.352 |
transcript.whisperx[409].end |
11738.631 |
transcript.whisperx[409].text |
紀念碑大概時程是到哪時候?我們現在就還正在規劃紫超改版有想過嗎?紀念超現在是沒有所以目前就朝著紀念碑的方式你們要掌握一下時程 |
transcript.whisperx[410].start |
11741.072 |
transcript.whisperx[410].end |
11758.657 |
transcript.whisperx[410].text |
這個十二強是去年11月的事情那你們至少今年要把它做出來啊不然明年又變經典賽了啊我們盡量啦 有沒有辦法今年做出來這十二強的經典賽我們也是希望啦你們也是希望 朝著目標來做好不好對對對好 謝謝李委員的質詢下一位請王世堅委員質詢 |
transcript.whisperx[411].start |
11767.501 |
transcript.whisperx[411].end |
11772.703 |
transcript.whisperx[411].text |
我們現在開始可以發便當各位在這裡使用的話可以謝謝主席我請楊總裁來 總裁請 |
transcript.whisperx[412].start |
11786.323 |
transcript.whisperx[412].end |
11787.704 |
transcript.whisperx[412].text |
我們所有部會當中我們中央銀行 |
transcript.whisperx[413].start |
11805.55 |
transcript.whisperx[413].end |
11824.31 |
transcript.whisperx[413].text |
跟金管會是在穩定我們國內財經最重要的兩大重症而且央行跟金管會到現在為止這個表現確實可圈可點那麼我去年的 |
transcript.whisperx[414].start |
11826.628 |
transcript.whisperx[414].end |
11842.088 |
transcript.whisperx[414].text |
上個會期12月份的質詢我針對金管會我有提到說這個要趕快去查查就是是不是融資租賃公司他們會成為 |
transcript.whisperx[415].start |
11843.61 |
transcript.whisperx[415].end |
11862.891 |
transcript.whisperx[415].text |
我們對於不動產放款就是變成打房的一個破口那我這個質詢之後這個質詢之後當然這個經國二他們有趕快發函他們就有發函要求各銀行針對 |
transcript.whisperx[416].start |
11866.314 |
transcript.whisperx[416].end |
11892.648 |
transcript.whisperx[416].text |
這個融資的資金用途那必須詢問去防止杜絕這個破口他們是在12月13號發的函那我比較感到有興趣的是12月19號我們央行的理監事會議裡面結果也有理事他也提出這樣的疑慮 |
transcript.whisperx[417].start |
11893.922 |
transcript.whisperx[417].end |
11904.358 |
transcript.whisperx[417].text |
那也就是說在金管會已經有行文跟銀行要求也查查之後那我們 |
transcript.whisperx[418].start |
11905.885 |
transcript.whisperx[418].end |
11929.617 |
transcript.whisperx[418].text |
理政事會裡面理事也有提出這個疑問那我認為說是不是我們的看法不但一致而且你們有發現什麼樣的新的問題新的破口是我們央行跟金管會必須特別再去查查再去強調的你的看法呢 |
transcript.whisperx[419].start |
11930.057 |
transcript.whisperx[419].end |
11947.168 |
transcript.whisperx[419].text |
是有那個報告委員就是說我們的我們理事就是說在我們上一次的禮監事會也有提到也有提到就是說這個破口那不過呢上一次那個他講到的這個破口呢主要的他是在講基層金融 |
transcript.whisperx[420].start |
11949.321 |
transcript.whisperx[420].end |
11964.174 |
transcript.whisperx[420].text |
就我那個榮譽會信用部還有信用合作社這個部分他講的那個破口是在這個部分他講的破口是在這個部分而且事實上在講這個破口之後我們有去了解 |
transcript.whisperx[421].start |
11964.835 |
transcript.whisperx[421].end |
11966.476 |
transcript.whisperx[421].text |
而且我們也有專案經檢,我們也有對這個部分,而且我們也有發函給農業金庫,因為是農業金庫,是那個農委會之下的農業金庫,對,農委的信用部,對對對, |
transcript.whisperx[422].start |
11986.502 |
transcript.whisperx[422].end |
12002.181 |
transcript.whisperx[422].text |
因為農會金庫他對這個農會信用部還有就是農會特別是農會信用部他們有那個檢查不是檢查權他們有監管的責任所以就這個部分我們有去更進一步的了解 |
transcript.whisperx[423].start |
12003.915 |
transcript.whisperx[423].end |
12022.191 |
transcript.whisperx[423].text |
因為我們這一個底線我們要求銀行金融機構要求貸款不動產不能超過存款總額百分之三十這個底線是絕對要簽收的所以這最可能的大金額的做口 |
transcript.whisperx[424].start |
12022.791 |
transcript.whisperx[424].end |
12049.669 |
transcript.whisperx[424].text |
那是這些融資註定公司因為他們這金額太龐大了動輒都百億以上那這個農業信用部雖然金額不大但是也會是因為他的加速多啦那這個部分就請你要繼續繼續監督他們那第二個我憂慮的就是說我們消費物價指數CPI啦CPI當然我們在2月份1.58是已經 |
transcript.whisperx[425].start |
12054.152 |
transcript.whisperx[425].end |
12063.658 |
transcript.whisperx[425].text |
這個創下這四年來新低但是不可否認的我們一二月還是一樣比去年同期還是漲這裡面 |
transcript.whisperx[426].start |
12066.741 |
transcript.whisperx[426].end |
12093.737 |
transcript.whisperx[426].text |
去年今年的數字不管漲跌都已經達到通膨的警戒線尤其食物的方面食物的這個部分竟然高達3.98這麼高高達3.98那3.98幾乎啊我們全民尤其是上班族外食族的朋友們那真的是 |
transcript.whisperx[427].start |
12095.418 |
transcript.whisperx[427].end |
12108.953 |
transcript.whisperx[427].text |
苦不堪言啦苦不堪言所以我一直搞不懂的就是說為什麼啦為什麼我們對於這個通膨尤其是食物為什麼對 |
transcript.whisperx[428].start |
12110.818 |
transcript.whisperx[428].end |
12124.335 |
transcript.whisperx[428].text |
食物通膨沒辦法抑制那個總裁您看法呢我跟委員報告就是說外食還有房租外食跟房租是屬於服務類 |
transcript.whisperx[429].start |
12126.227 |
transcript.whisperx[429].end |
12151.732 |
transcript.whisperx[429].text |
是屬於服務類我們有商品類跟服務類像說蔬菜水果那個是商品類外食跟房租這個是服務類服務類不管就是在台灣或是在外國都有同樣的一個特性它要調降下來都會有sticky |
transcript.whisperx[430].start |
12152.512 |
transcript.whisperx[430].end |
12174.609 |
transcript.whisperx[430].text |
就是僵固性所以就是說他上去了以後呢要回來的時候呢他會慢慢的不會像商品類一樣的商品類你看看像商品類我們商品類下跌的速度就比較快但是呢服務類的這個部分呢他就比較sticky他的特性就是比較僵固這個規律在服務類當然這個就會確實比較不容易但是但是 |
transcript.whisperx[431].start |
12182.715 |
transcript.whisperx[431].end |
12204.372 |
transcript.whisperx[431].text |
我們雖然是比日韓低是優於日韓但是我們比歐美是高那如果純粹以服務類這個項目來看的話那歐美的薪資是遠高於我們結果他們的在這一部分的CPI15的CPI是遠低於我們 |
transcript.whisperx[432].start |
12205.293 |
transcript.whisperx[432].end |
12228.198 |
transcript.whisperx[432].text |
他們大概2%而已我跟委員報告事實上如果說就歐美來講的話我們跟OECD來比較事實上他們的服務類也是一樣的是上去了以後它下來也是比較你現在講的是說是食物類但是如果說我們從total這個服務類來看的話事實上它還是比我們高 |
transcript.whisperx[433].start |
12234.209 |
transcript.whisperx[433].end |
12258.077 |
transcript.whisperx[433].text |
他整體的服務類還是比我們高他的服務類呢現在大概是4.4左右但是食物的部分他大概是他食物類的話 因為他上漲了以後他下來的速度呢是比較快一點比我們台灣快一點所以這個總裁當然您是專家啦我的看法我的看法就是說是不是 |
transcript.whisperx[434].start |
12259.147 |
transcript.whisperx[434].end |
12278.658 |
transcript.whisperx[434].text |
我們中央銀行應該靈活應用這個利率來控制通通啦我的看法就是說因為我們洋行最重要的任務之一就是穩定國內物價嘛對不對那在這一個部分利率的運用上 |
transcript.whisperx[435].start |
12282.339 |
transcript.whisperx[435].end |
12298.458 |
transcript.whisperx[435].text |
觀察的結果美國他們是很靈活應用的美國他們在這個利率的調整他們是很激動很激動的那我們呢我們台灣長期以來我們國家的低利率已經造成一些 |
transcript.whisperx[436].start |
12300.387 |
transcript.whisperx[436].end |
12314.337 |
transcript.whisperx[436].text |
不可測的危害已經發生很清楚的這個我們長期的低利率導致房地產價格不斷上漲那我們長期的低利率也讓我們台灣的民眾放棄 |
transcript.whisperx[437].start |
12315.718 |
transcript.whisperx[437].end |
12344.418 |
transcript.whisperx[437].text |
除序放棄除序那麼而且還傾向於因為這麼低的利率所以傾向於借貸那這個都是很頭痛的問題而且這長期以往會助長這個金融投機啦金融泡沫所以這一個部分是我們不得不要來做機動的調整尤其尤其我們長期的這個低利率 |
transcript.whisperx[438].start |
12345.379 |
transcript.whisperx[438].end |
12374.086 |
transcript.whisperx[438].text |
低利率已經也導致我們台灣受險業者他們把我們高達35兆他們從保險戶收到的資金那這些金額70% 25兆因為我們國家的低利率所以他們又有理由有藉口他們到海外去購買海外國外的債券基金那這些 |
transcript.whisperx[439].start |
12375.026 |
transcript.whisperx[439].end |
12391.607 |
transcript.whisperx[439].text |
因為有戰爭匯率的風險賺人家利息人家把你本金吃了戰爭的風險你像買俄國的部分現在要收回遙遙無期那這一些風險都已經發生不打緊也導致我們國內 |
transcript.whisperx[440].start |
12393.008 |
transcript.whisperx[440].end |
12416.749 |
transcript.whisperx[440].text |
自己國家的資金來自我們民眾的錢竟然沒辦法用在我們國家自己的建設所以我認為是不是應該在下一次的禮監事會議還有下下次未來的這些禮監事會議要靈活激動的調整利率你看美國他們這麼激動之下你看他們 |
transcript.whisperx[441].start |
12417.89 |
transcript.whisperx[441].end |
12442.305 |
transcript.whisperx[441].text |
在通膨的部分他們守的至少守的還比我們好所以這一個部分是我給周恩揚的一些建議好不好能不能這個部分就做到而且我也做了一個臨時提案希望在這一個部分你們一個月內做一個基本的一個你們的對利率調整有一些綜合因素的看法好不好 |
transcript.whisperx[442].start |
12442.865 |
transcript.whisperx[442].end |
12444.226 |
transcript.whisperx[442].text |
謝謝主席 我們請梁總裁 |
transcript.whisperx[443].start |
12468.629 |
transcript.whisperx[443].end |
12470.71 |
transcript.whisperx[443].text |
我們看到相關的媒體報導有說新增的房貸一季狂減1.5萬戶第四季比第三季減了大概1.5萬件 |
transcript.whisperx[444].start |
12491.562 |
transcript.whisperx[444].end |
12518.618 |
transcript.whisperx[444].text |
那個我看房市的這個329這個329檔期那個推案但是新案衰減然後市場疲軟然後請問您這個第七波信用管制之後你覺得現在你的看法現在房市有反轉走低嗎我跟委員報告就是說我們當時第七波的主要的目的有三個9月19號 |
transcript.whisperx[445].start |
12520.619 |
transcript.whisperx[445].end |
12537.771 |
transcript.whisperx[445].text |
對我們9月19號我們有目的有三個第一個就是說那時候的預期的心理是非常強的就是上漲的預期心理不過現在我想委員應該要同意他已經有下來的趨勢預期心理有下降房地產一定會漲的這個預期心理下降一定會漲的那個預期心理是已經扭轉回來了這是第一個第二個我們是希望這個資源就是說不動我們的信用資源不要太 |
transcript.whisperx[446].start |
12550.479 |
transcript.whisperx[446].end |
12578.258 |
transcript.whisperx[446].text |
要讓他能夠比較帶給我們的那個無自用自宅的消費者那這一點呢也有慢慢的上升這是第二個第三個呢也就是說他的集中度呢他的集中度就是說我們的銀行的那個放款的集中度在不動產這慢慢的下來了所以也有達到也有達到這個目的但是那個總裁 |
transcript.whisperx[447].start |
12579.899 |
transcript.whisperx[447].end |
12605.159 |
transcript.whisperx[447].text |
銀行放款的集中度 其實就是那一條就是說你們說存放比多少這一個但是你們有沒有同時注意到這個各個地區的這種差異在你們的這個觀察裡頭有同時注意到嗎各個地區是不是我舉例 我舉一個具體的例子給您我去年的時候我在財委擔任召委的時候我請了我們相關單位到金門去開了一次會議他請當地的金融機構 |
transcript.whisperx[448].start |
12605.819 |
transcript.whisperx[448].end |
12626.612 |
transcript.whisperx[448].text |
都過來開會我們發現我們金門的銀行比如土銀好了您猜看看他的存放比是多少您知道嗎您猜看看他的存放比如果說就我當地的土銀的金門分行金門當地的因為我沒有就是說很特地對了不過一般來講比較就像離島的話我再猜不過也許就不對了沒關係他的存款應該是比換款還多 |
transcript.whisperx[449].start |
12636.226 |
transcript.whisperx[449].end |
12658.991 |
transcript.whisperx[449].text |
那存穩應該大概在比較合理的區間應該在哪裡一般來講的話合理是要72%合理是72%對不對他合理都70幾%我不曉得那個你知道金門的土銀或是台銀他是多少我是不曉得15%15%台銀也是差不多16%那就很低對就是非常的低那也就是說 |
transcript.whisperx[450].start |
12660.251 |
transcript.whisperx[450].end |
12687.383 |
transcript.whisperx[450].text |
那也就是說金門的民眾大部分都是存款因為金門民眾不需要貸款嗎因為金門沒有企業當然不是這個原因當然不是說因為我們也是有相關產業而是說金門的很多存款存款不少但是很多的貸款金融機構他的這種 |
transcript.whisperx[451].start |
12688.303 |
transcript.whisperx[451].end |
12714.005 |
transcript.whisperx[451].text |
執行率也好或者他的放款意願也不想所以基本很多的存款就被的資金就被同樣是土地銀行或是台灣銀行好了這個錢就被移到讓台灣來使用我的意思因為事實上現在發生的情形就是這樣子所以當你們在說什麼存放筆啊在說這個東西信用管制的時候其實我覺得央行也要注意也要稍微注意一下各個區域怕說很多 |
transcript.whisperx[452].start |
12715.006 |
transcript.whisperx[452].end |
12738.366 |
transcript.whisperx[452].text |
比較像我們來講我們偏遠地區的錢存在以後全部都集中到了比較都會區可能台我不知道可能台北因為我沒有研究台北可能台北來高雄這種比較都會區去使用所以造成這個如果以房地產來講的話有時候會造成這樣的錢會集中的不是只有說欸您說是30%多少%這樣的70%的這個差別而是有時候資金的移動 |
transcript.whisperx[453].start |
12738.806 |
transcript.whisperx[453].end |
12766.379 |
transcript.whisperx[453].text |
會影響這個地區 這個可能也是所以請央行證也許也可以去了解一下這個第一點嘛 這個說影響這個相對就某些地方就會變成草房就會比較嚴重某些地方經濟發展比如說不一定是房地產說經濟發展企業想要融資變得很辛苦有時候這個也是有影響所以我們除了注意說它的一個比例以外也要注意區域的有沒有均衡的發展其實這個也是很重要對啦 沒有錯啦 |
transcript.whisperx[454].start |
12767.359 |
transcript.whisperx[454].end |
12788.914 |
transcript.whisperx[454].text |
這個是第一點然後第二點關於房地產有關就是說之前就是訂所謂的豪宅那當然這個財政部在金管那邊管那個豪宅的總價不過我覺得後來事實上這個建商有他的做法他們就把坪數弄很小單價弄很高所以我看最近有一個新的政策就是讓單價一定的 |
transcript.whisperx[455].start |
12790.255 |
transcript.whisperx[455].end |
12804.226 |
transcript.whisperx[455].text |
每個地區嘛一定的金額以上也要比較比較可以比較不能太超過不然也是不能帶這個也是算是一個很好的政策啦這個才能真正讓房價走向一個比較平衡的這個發展不然 |
transcript.whisperx[456].start |
12806.46 |
transcript.whisperx[456].end |
12822.958 |
transcript.whisperx[456].text |
這樣子對你這樣的做法你們之前有的做法對百姓並沒有幫助啊因為反而是建商賺更多因為他把單價他把坪數弄很小20坪變10坪但單價做很多做高了做高後反而讓房價又漲起來然後事實上建商獲利也沒有變少 |
transcript.whisperx[457].start |
12823.879 |
transcript.whisperx[457].end |
12852.609 |
transcript.whisperx[457].text |
您了解我在說什麼?我知道您看這個不動產的放款我看到您有相關的報導有找銀行來喝咖啡有三家銀行然後對於說這些按計管控提交具體改善方案這些都有提到那我也請您關注一下各個區域也許銀行也要請他們提供一下他各個區域是不是有太過不均衡的發展那熱錢集中在一個地方那個地方容易炒作 |
transcript.whisperx[458].start |
12853.89 |
transcript.whisperx[458].end |
12869.94 |
transcript.whisperx[458].text |
這個也請列入這個考量那還會有第八波嗎?因為我們是九月十九嘛那時候我們問的時候九月十九到十二月有一段期但現在已經又要三月了嘛等於是半年了啦 將近半年了那你看你下去的發展呢? |
transcript.whisperx[459].start |
12872.585 |
transcript.whisperx[459].end |
12895.146 |
transcript.whisperx[459].text |
我想我們是滾動性檢討啦滾動性檢討 所以也有可能有 也有可能沒有啦這個是由理事來決定啦有理事決定喔 對但是我還講說那個 我像有相關政策像平數的單家那個倒是也是一個 還有各區的喔可以看一下這民間的相關這個反應啦好 那這個 |
transcript.whisperx[460].start |
12896.227 |
transcript.whisperx[460].end |
12910.816 |
transcript.whisperx[460].text |
第一季你們央行理事與監事會議預期去年的時候 去年也是這個時候你們預期台電4月調漲電價那有做出 祭出這個預防性的升級半馬營業那今年現在3月你們3月20號開會了吧 |
transcript.whisperx[461].start |
12912.857 |
transcript.whisperx[461].end |
12936.646 |
transcript.whisperx[461].text |
現在聽起來台電又有可能聽起來又好像可能調漲這個電價那你們今年會一樣採取這樣的這個預防性申請剛我有聽別人有問過這個也是由理事來解釋我知道我知道你會這樣回答但是去年今年因為你們在業務報告也有跟我們提到要考量未來台鐵票價水電公用事務費率調漲那相關的預測值會上漲所以 |
transcript.whisperx[462].start |
12942.108 |
transcript.whisperx[462].end |
12947.915 |
transcript.whisperx[462].text |
你的標準答案就是說你要看你以前是否但看起來的話如果比照去年的做法可能會傾向這個方面 |
transcript.whisperx[463].start |
12951.67 |
transcript.whisperx[463].end |
12975.141 |
transcript.whisperx[463].text |
還是有理解 沒關係我想請問你關於虛擬貨幣的事情美國總統川普簽行政命令要正式成立戰略比特幣儲備確保美國在全球加密貨幣市場的領導地位但是我們央行說的是虛擬貨幣不宜列為準備資產 |
transcript.whisperx[464].start |
12976.782 |
transcript.whisperx[464].end |
12998.34 |
transcript.whisperx[464].text |
因為央行是說比特幣價格波動劇烈容易受金融市場資金鏈消息鏈影響沒有辦法具備貨幣應有的交易媒介計價單位及價值儲藏三大功能比較像是一種投機或是投資性質的商品這是我們央行說的但是美國川普總統卻對這個大力提倡那就是說 |
transcript.whisperx[465].start |
13004.565 |
transcript.whisperx[465].end |
13030.505 |
transcript.whisperx[465].text |
你這樣還是認為還是這樣認為嗎就是說比特幣這類的虛擬資產你的看法跟我們川普總統的看法不大不大一致啊是啦我想這個我們會密切注意他啦不過以目前我們的態度呢我們還是覺得就是說在台灣要把它就是說把它變成一個我們的準備變成一個外匯存底的一部分當然啦 |
transcript.whisperx[466].start |
13032.026 |
transcript.whisperx[466].end |
13048.074 |
transcript.whisperx[466].text |
外存底的一部分跟它是戰略儲備因為我們政府的戰略儲備我不曉得是有哪些啦但是我們外存底的這個部分呢到在目前呢我們是沒有考慮就是說還是沒有考慮虛擬貨幣啦還是沒有考慮虛擬貨幣啦 |
transcript.whisperx[467].start |
13052.116 |
transcript.whisperx[467].end |
13068.171 |
transcript.whisperx[467].text |
既然就是說美國都是要把他列入這個我們會正視他我們會密切注意他也是會密切注意我們會密切注意他那您看看川普總統還頒了一個行政命令他說禁止創建數位美元像那個央行數位貨幣CPTC嘛那 |
transcript.whisperx[468].start |
13070.473 |
transcript.whisperx[468].end |
13095.048 |
transcript.whisperx[468].text |
他說這個CBDC是威脅金融體系穩定個人影響美國主權禁止在美國建立但是我們不是有在推嗎我們央行有在推嗎有在推CBDC那這個跟美國全球領導國家的做法也不一樣那這樣會不會延緩我們推這個的腳步我覺得就是說 |
transcript.whisperx[469].start |
13096.309 |
transcript.whisperx[469].end |
13118.314 |
transcript.whisperx[469].text |
基本上呢我們看看其他的國家呢也沒有就是說是因為川普總統他的這個政策因為基本上其他的國家他還是往前推的啦那基本上中央銀行呢也會還是我們還是按照既定的一個行程往前推啦往前推進就對了是是是我們還是好謝謝你是謝謝 |
transcript.whisperx[470].start |
13120.815 |
transcript.whisperx[470].end |
13125.783 |
transcript.whisperx[470].text |
好 謝謝陳立正委員的諮詢下一位請王洪恩委員諮詢 請 |
transcript.whisperx[471].start |
13135.336 |
transcript.whisperx[471].end |
13150.218 |
transcript.whisperx[471].text |
好 謝謝主席我請楊總裁楊總裁請還有我們財經資訊公司財經資訊的林鄧市長請王委員早好 總裁好 |
transcript.whisperx[472].start |
13155.283 |
transcript.whisperx[472].end |
13171.613 |
transcript.whisperx[472].text |
董事長好,總裁,我們財經資訊公司的董事長是我們央行代表,是吧?是應該是,不是應該算,好來,那我請問一下我們林董事長 |
transcript.whisperx[473].start |
13173.442 |
transcript.whisperx[473].end |
13194.264 |
transcript.whisperx[473].text |
董事長請問一下,我知道您是財經公司基層做起那請問在財經公司裡面有沒有您的兩位侄子跟一位侄女也在財經公司任職跟委員報告有的,但是他不是我核定的 |
transcript.whisperx[474].start |
13195.828 |
transcript.whisperx[474].end |
13223.272 |
transcript.whisperx[474].text |
都在所以有三位兩個侄子一位侄女都在財經公司任職那是怎麼樣是兩位兩位兩位都是侄子嗎客戶服務組有一位侄女組長是是嗎是那另外一位是零我用我這個字問問誰啊零差安還是零差智 |
transcript.whisperx[475].start |
13224.704 |
transcript.whisperx[475].end |
13239.249 |
transcript.whisperx[475].text |
林差安林差志勇沒有曾經也在公司任職沒有所以這位就是排名第三的從來沒有在我們財經公司任職沒有 |
transcript.whisperx[476].start |
13240.475 |
transcript.whisperx[476].end |
13264.435 |
transcript.whisperx[476].text |
那這兩位因為我接獲我們財經公司的員工的算是爆料吧因為他認為就是我們公司董事長有安插自己的三親等到公司來任職那還有請問您的侄女進入公司半年就升組長是不是事實 |
transcript.whisperx[477].start |
13266.763 |
transcript.whisperx[477].end |
13288.123 |
transcript.whisperx[477].text |
跟委員報告我要查一下他有升組長是事實那他到公司多久升任跟委員報告這個權限是總經理的權限所以我沒有特別注意他是什麼時候升職那他本來要招進來據我的了解他本來就是儲備要當主管 |
transcript.whisperx[478].start |
13290.091 |
transcript.whisperx[478].end |
13306.838 |
transcript.whisperx[478].text |
所以确实他进来之后不晓得他是多久的时间另外再请教一下您的侄女升任组长前组长是不是有被惩戒 |
transcript.whisperx[479].start |
13308.423 |
transcript.whisperx[479].end |
13336.631 |
transcript.whisperx[479].text |
他的前一位的組長是不是有被懲戒跟委員報告就我的了解當時這個組長其實在之前就有一些問題產生了所以才會在外面再招募一個儲備的主管所以他是有被懲戒的他被懲戒然後招募剛剛好就是您的侄女也進來了好那麼因為這個的整個的爆料 |
transcript.whisperx[480].start |
13337.83 |
transcript.whisperx[480].end |
13361.078 |
transcript.whisperx[480].text |
就直接我想总裁也听一下过去曾经在我们国内的金融公营行库里面也出现过这个董事长后来呢就是把他们家的他的家人或者是合伙的合伙股东的小孩一个一个的进入公司以我们财经公司来说那么 |
transcript.whisperx[481].start |
13362.301 |
transcript.whisperx[481].end |
13381.488 |
transcript.whisperx[481].text |
我覺得這是很集中啦董事長是基層出身我覺得你升任董事長沒有什麼問題但是呢陸陸續續陸陸續續正好都是你的侄子侄女也進入同一家公司我個人覺得這個有利益衝突跟利益迴避的問題 |
transcript.whisperx[482].start |
13383.124 |
transcript.whisperx[482].end |
13398.909 |
transcript.whisperx[482].text |
並不適當並不適當而且現在已經有員工來做檢舉我想請問一下總裁來 請教總裁中央銀行是不是有曾經接獲過檢舉 |
transcript.whisperx[483].start |
13405.283 |
transcript.whisperx[483].end |
13418.452 |
transcript.whisperx[483].text |
快點 我的時間一直在走喔有接貨檢舉那總裁有去了解嗎我們的業務單位有請他們的集合他們的總集合針對人家的檢舉做報告 |
transcript.whisperx[484].start |
13421.374 |
transcript.whisperx[484].end |
13442.623 |
transcript.whisperx[484].text |
做報告 所以總裁有看過報告嗎我有所以你認為這一切都合理 合法 合情嗎如果說 如果說 據我們看那個的那個我們它的總集合的這個報告裡面我個人是覺得是應該是還可以 |
transcript.whisperx[485].start |
13443.692 |
transcript.whisperx[485].end |
13458.545 |
transcript.whisperx[485].text |
只有說在這個就像那個委員在講的就是說這個是觀感的一個問題當然有觀感問題啊我覺得任何一下如果說一般民間公司所以我們家人都進公司也就算了但是我們這個是國營事業 |
transcript.whisperx[486].start |
13462.388 |
transcript.whisperx[486].end |
13490.304 |
transcript.whisperx[486].text |
過去我們國營的就是包含我們的一些我們的銀行也發生這樣的狀況啊是這終究是要避免的啊是 是 是是不是這是觀感的問題啦是啦 沒有錯啦所以所以我覺得秦總裁還是要處理一下好不好因為不然的話我們今天會繼續接獲這些檢舉函啊而且他認為說他檢舉了之後他們反而反而被秋後算帳 |
transcript.whisperx[487].start |
13492.432 |
transcript.whisperx[487].end |
13510.624 |
transcript.whisperx[487].text |
所以他在裡面是他們檢舉之後被秋後算賬有一些懲處所以請總裁還有董事長能夠回去重新檢視好不好我也不希望再看到這樣的一些爆料了 |
transcript.whisperx[488].start |
13511.885 |
transcript.whisperx[488].end |
13512.746 |
transcript.whisperx[488].text |
王委員的質詢 下一位請邱志偉委員質詢 |
transcript.whisperx[489].start |
13549.144 |
transcript.whisperx[489].end |
13550.887 |
transcript.whisperx[489].text |
好,謝謝,我請央行的楊總裁 |
transcript.whisperx[490].start |
13560.713 |
transcript.whisperx[490].end |
13588.98 |
transcript.whisperx[490].text |
這個總裁辛苦了那兩個問題請教一下總裁第一就是美國關稅美國關稅當然這個隨時都會變動它的關稅的政策不是那麼穩定那隨著總統他有每天可能有新的想法所以關稅政策當然不管怎麼樣對台灣的出口競爭力跟匯率一定會造成影響那你看南韓南韓就面臨到這個美國的關稅壓力所以都要造成它韓元的低迷 |
transcript.whisperx[491].start |
13590.36 |
transcript.whisperx[491].end |
13616.371 |
transcript.whisperx[491].text |
還有一點點扁在亞洲的貨幣裡面它是相對比較弱勢那你高度依賴出口而且也沒有內需關稅又沒有辦法衝擊又沒有辦法降低那部分整體的這個因為關稅造成的整體國家的GDP就會下降投資就會受到影響 |
transcript.whisperx[492].start |
13617.431 |
transcript.whisperx[492].end |
13642.054 |
transcript.whisperx[492].text |
從南韓經驗來看如果美國加徵關稅當然我們沒有辦法避免對我們出口跟整體經濟的影響那您覺得最壞的狀況台灣出口競爭力或者台灣的GDP會減少多少到目前為止我們還是在評估當中因為不確定性嘛不過呢初步的估計我們到目前初步的估計我們是覺得 |
transcript.whisperx[493].start |
13644.015 |
transcript.whisperx[493].end |
13654.145 |
transcript.whisperx[493].text |
如果說按照我們這個報告也有談到啊就是說如果說他對額外的那四個那個對醫藥品、半導體特別是對我們的半導體因為我們半導體還有鋼鐵、鋁銅、汽車及零組件這個對我們的影響目前我們初步的評估是不會很大 |
transcript.whisperx[494].start |
13666.636 |
transcript.whisperx[494].end |
13680.897 |
transcript.whisperx[494].text |
那看樣子台積電去美國投資那麼高額然後這個史上最大的一個投資額會不會因此就降低美國這個川普政府對台灣的晶片加收關稅的這個可能性 |
transcript.whisperx[495].start |
13683.159 |
transcript.whisperx[495].end |
13694.806 |
transcript.whisperx[495].text |
這個看起來好像後來他就改口了他好像川普好像也蠻滿意的樣子就是說他也佩服說台灣在這個領域方面的強項 |
transcript.whisperx[496].start |
13698.568 |
transcript.whisperx[496].end |
13710.652 |
transcript.whisperx[496].text |
所以川普有些時候我們就都沒有說真正的搞不過我是覺得他也應該算是對於我們的半導體的產業他也是蠻佩服的 |
transcript.whisperx[497].start |
13714.913 |
transcript.whisperx[497].end |
13736.853 |
transcript.whisperx[497].text |
半導體有沒有加徵關稅那它整體而言它的關稅一定會比過去的這個前任政府更多嘛品項也更多所以再用我們以出國導向的這個經濟體來看那當然它的關稅政策一定會對台灣造成影響那台灣出國競爭力下降那當然我們的這個貨幣就會受到衝擊 |
transcript.whisperx[498].start |
13739.995 |
transcript.whisperx[498].end |
13756.644 |
transcript.whisperx[498].text |
會不會持續貶值如果持續貶值的話我跟委員報告就是說川普的我們說川普1.0川普1.0基本上呢事實上呢川普1.0他美中貿易衝突我們台灣是受力的 |
transcript.whisperx[499].start |
13757.458 |
transcript.whisperx[499].end |
13779.645 |
transcript.whisperx[499].text |
但是呢受益的是受益的是受益的但是呢川普2.0呢他的情況他就要賭那個缺口那缺口呢他就普遍性的那如果說是普遍性的話呢那事實上呢我個人啦當然啦我這個我們還是要study啦如果說普遍性的時候對每一個國家都是這樣子的時候呢那基本上呢 |
transcript.whisperx[500].start |
13780.385 |
transcript.whisperx[500].end |
13802.497 |
transcript.whisperx[500].text |
每個國家都是這樣子那也不是說只有針對我們台灣那如果說就半導體所以我們在十三頁這邊有講到半導體的這個部分因為我們直接出口到美國的那個直接出口到他那邊去的好像不多佔我們的GDP佔我們的出口的那個也就是說我們的曝險不高 |
transcript.whisperx[501].start |
13803.377 |
transcript.whisperx[501].end |
13812.343 |
transcript.whisperx[501].text |
相對其他國家對,不高所以目前他所公布的相關的關稅政策不過我們也不能說他就是這樣子所以這個議題應該要密切的注意我是擔心關稅一旦 |
transcript.whisperx[502].start |
13822.469 |
transcript.whisperx[502].end |
13849.849 |
transcript.whisperx[502].text |
開徵會影響到我們出口競爭力出口競爭力是我的經濟的命脈我就是說出口的競爭力因為它是整個是全部它都關稅嘛它是普遍性的嘛是 謝謝那第二個問題想討論這個匯率啊那台積電到美國投資金額那麼大那資本當然一定外流那相關的這個產業鏈也都會過去啊這種情況這個央行有沒有穩定匯率的政策我事實上呢 |
transcript.whisperx[503].start |
13852.025 |
transcript.whisperx[503].end |
13863.453 |
transcript.whisperx[503].text |
台積電到那邊去投資一千億要增加一千億增加一千億事實上我們的外局就有去跟他們的財務處討論這個問題事實上他們說他們營收今年他們估計都有差不多一千億一千億美元不是台幣 |
transcript.whisperx[504].start |
13874.16 |
transcript.whisperx[504].end |
13901.572 |
transcript.whisperx[504].text |
然後你看看他1000億要投資那邊的話他是分四年這是第一個分四年一年是250億第二個他也可以在那邊籌資所以就他來講的話事實上也不會說是因為他要到我那邊投資所以他必須要在這邊買會然後再出去影響到我們的YC我再用30秒我的問題是說你產業鏈過去當然在那邊生產當然也會有 |
transcript.whisperx[505].start |
13901.972 |
transcript.whisperx[505].end |
13931.127 |
transcript.whisperx[505].text |
會有獲利那獲利會不會怎麼樣有政策的引導可以在這個回流台灣那當然就是說第一個他獲利然後呢就會回台灣這個也有可能啦這個也有可能啦但是有沒有政策上的引導或者誘因讓整體獲利不會在這邊繼續在投資你把獲利的這個這個他們的投資策略我不曉得說實在我不曉得我也只是能夠從報紙上看到就是說 |
transcript.whisperx[506].start |
13931.707 |
transcript.whisperx[506].end |
13942.677 |
transcript.whisperx[506].text |
他要增加一千億的投資這個我們只能夠這樣知道而已那至於就是說這些細節的我相信這個樣行的決策也能夠兼顧台灣出口競爭力把這個關稅的衝擊降到最低我對您是深具信心 |
transcript.whisperx[507].start |
13954.622 |
transcript.whisperx[507].end |
13957.886 |
transcript.whisperx[507].text |
楊炯英 鄭振全林柱英 蔡玉宇陳冠廷 蘇清泉 |
transcript.whisperx[508].start |
13975.605 |
transcript.whisperx[508].end |
13998.363 |
transcript.whisperx[508].text |
葉元芝 葉元芝 葉元芝委員不在何欣淳 何欣淳 何欣淳 何欣淳委員不在徐欣怡 徐欣怡 徐欣怡委員不在那麼報告委員會今天的電器發言委員已經全部詢問完畢現在因為有一個臨時提案啦這個 |
transcript.whisperx[509].start |
14002.712 |
transcript.whisperx[509].end |
14027.39 |
transcript.whisperx[509].text |
這個我先請教王委員 田委員啊可不可以因為你剛剛質詢的時候已經有講了質詢的時候楊總裁也答應了口頭上已經答應在這裡面所有的會議紀錄都是公開的而且是有效的所以他已經承諾你要給你是不是這個案子因為人不夠我們就是楊總裁口頭上答應這樣可以嗎就 |
transcript.whisperx[510].start |
14037.177 |
transcript.whisperx[510].end |
14063.083 |
transcript.whisperx[510].text |
那就謝謝主席就依照您說的就是王委員的提案那個楊總裁剛才我聽你是講沒有問題你基本上答應就是要一個月以內提出有關於升降系對於物價房價及房租制交付影響並說明歷以來升降系決策 |
transcript.whisperx[511].start |
14065.629 |
transcript.whisperx[511].end |
14086.906 |
transcript.whisperx[511].text |
前開因素評估一個月內做相關的書面報告可以了齁好 談口頭答應的好不好那謝謝總裁 要麻煩你們麻煩你齁這個 剛才的這一個提案還是列進去然後我們的會議紀錄就是寫總裁口頭答應 就這樣子好不好 好 好謝謝 謝謝主席 謝謝那麼 |
transcript.whisperx[512].start |
14093.57 |
transcript.whisperx[512].end |
14118.142 |
transcript.whisperx[512].text |
跟各位報告本次會議做如下之決定第一個報告及審討完畢第二委員質詢為其答覆後請補充資訊請周英龍在一週內以書面答覆委員另要求期限者從其所定第三委員陳冠廷所提的書面資料及 |
transcript.whisperx[513].start |
14127.575 |
transcript.whisperx[513].end |
14140.364 |
transcript.whisperx[513].text |
原王世堅所提的書面補充資料補充提案也列列錄記錄刊登公報並請周英文一書面答覆 |
transcript.whisperx[514].start |
14142.435 |
transcript.whisperx[514].end |
14157.011 |
transcript.whisperx[514].text |
本市會議紀錄已進行會議一程已進行完畢堂友不在場委員補題書面諮詢一併列入紀錄刊登公報並請議事人員協助處理本期宣布散會 謝謝 |